telegraf.conf

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# Telegraf Configuration

#

# Telegraf is entirely plugin driven. All metrics are gathered from the

# declared inputs, and sent to the declared outputs.

#

# Plugins must be declared in here to be active.

# To deactivate a plugin, comment out the name and any variables.

#

# Use 'telegraf -config telegraf.conf -test' to see what metrics a config

# file would generate.

#

# Environment variables can be used anywhere in this config file, simply surround

# them with ${}. For strings the variable must be within quotes (ie, "${STR_VAR}"),

# for numbers and booleans they should be plain (ie, ${INT_VAR}, ${BOOL_VAR})

# Global tags can be specified here in key="value" format.

[global_tags]

# dc = "us-east-1" # will tag all metrics with dc=us-east-1

# rack = "1a"

## Environment variables can be used as tags, and throughout the config file

# user = "$USER"

# Configuration for telegraf agent

[agent]

## Default data collection interval for all inputs

interval = "5s"

## Rounds collection interval to 'interval'

## ie, if interval="10s" then always collect on :00, :10, :20, etc.

round_interval = true

## Telegraf will send metrics to outputs in batches of at most

## metric_batch_size metrics.

## This controls the size of writes that Telegraf sends to output plugins.

metric_batch_size = 1000

## Maximum number of unwritten metrics per output. Increasing this value

## allows for longer periods of output downtime without dropping metrics at the

## cost of higher maximum memory usage.

metric_buffer_limit = 10000

## Collection jitter is used to jitter the collection by a random amount.

## Each plugin will sleep for a random time within jitter before collecting.

## This can be used to avoid many plugins querying things like sysfs at the

## same time, which can have a measurable effect on the system.

collection_jitter = "1s"

## Default flushing interval for all outputs. Maximum flush_interval will be

## flush_interval + flush_jitter

flush_interval = "5s"

## Jitter the flush interval by a random amount. This is primarily to avoid

## large write spikes for users running a large number of telegraf instances.

## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s

flush_jitter = "0s"

## By default or when set to "0s", precision will be set to the same

## timestamp order as the collection interval, with the maximum being 1s.

## ie, when interval = "10s", precision will be "1s"

## when interval = "250ms", precision will be "1ms"

## Precision will NOT be used for service inputs. It is up to each individual

## service input to set the timestamp at the appropriate precision.

## Valid time units are "ns", "us" (or "µs"), "ms", "s".

precision = ""

## Log at debug level.

debug = true

## Log only error level messages.

# quiet = false

## Log target controls the destination for logs and can be one of "file",

## "stderr" or, on Windows, "eventlog". When set to "file", the output file

## is determined by the "logfile" setting.

logtarget = "file"

## Name of the file to be logged to when using the "file" logtarget. If set to

## the empty string then logs are written to stderr.

#logfile = ""

logfile = "/var/log/telegraf/telegraf.log"

## The logfile will be rotated after the time interval specified. When set

## to 0 no time based rotation is performed. Logs are rotated only when

## written to, if there is no log activity rotation may be delayed.

# logfile_rotation_interval = "0d"

## The logfile will be rotated when it becomes larger than the specified

## size. When set to 0 no size based rotation is performed.

# logfile_rotation_max_size = "0MB"

## Maximum number of rotated archives to keep, any older logs are deleted.

## If set to -1, no archives are removed.

# logfile_rotation_max_archives = 5

## Override default hostname, if empty use os.Hostname()

hostname = ""

## If set to true, do no set the "host" tag in the telegraf agent.

omit_hostname = false

###############################################################################

# OUTPUT PLUGINS #

###############################################################################

# Configuration for sending metrics to InfluxDB

[[outputs.influxdb]]

## The full HTTP or UDP URL for your InfluxDB instance.

##

## Multiple URLs can be specified for a single cluster, only ONE of the

## urls will be written to each interval.

# urls = ["unix:///var/run/influxdb.sock"]

# urls = ["udp://127.0.0.1:8089"]

urls = ["http://127.0.0.1:8086"]

## The target database for metrics; will be created as needed.

## For UDP url endpoint database needs to be configured on server side.

database = "telegraf"

## The value of this tag will be used to determine the database. If this

## tag is not set the 'database' option is used as the default.

# database_tag = ""

## If true, the 'database_tag' will not be included in the written metric.

# exclude_database_tag = false

## If true, no CREATE DATABASE queries will be sent. Set to true when using

## Telegraf with a user without permissions to create databases or when the

## database already exists.

# skip_database_creation = false

## Name of existing retention policy to write to. Empty string writes to

## the default retention policy. Only takes effect when using HTTP.

# retention_policy = ""

## The value of this tag will be used to determine the retention policy. If this

## tag is not set the 'retention_policy' option is used as the default.

# retention_policy_tag = ""

## If true, the 'retention_policy_tag' will not be included in the written metric.

# exclude_retention_policy_tag = false

## Write consistency (clusters only), can be: "any", "one", "quorum", "all".

## Only takes effect when using HTTP.

# write_consistency = "any"

## Timeout for HTTP messages.

# timeout = "5s"

## HTTP Basic Auth

username = "telegraf"

# password = "metricsmetricsmetricsmetrics"

## HTTP User-Agent

# user_agent = "telegraf"

## UDP payload size is the maximum packet size to send.

# udp_payload = "512B"

## Optional TLS Config for use on HTTP connections.

# tls_ca = "/etc/telegraf/ca.pem"

# tls_cert = "/etc/telegraf/cert.pem"

# tls_key = "/etc/telegraf/key.pem"

## Use TLS but skip chain & host verification

# insecure_skip_verify = false

## HTTP Proxy override, if unset values the standard proxy environment

## variables are consulted to determine which proxy, if any, should be used.

# http_proxy = "http://corporate.proxy:3128"

## Additional HTTP headers

# http_headers = {"X-Special-Header" = "Special-Value"}

## HTTP Content-Encoding for write request body, can be set to "gzip" to

## compress body or "identity" to apply no encoding.

# content_encoding = "gzip"

## When true, Telegraf will output unsigned integers as unsigned values,

## i.e.: "42u". You will need a version of InfluxDB supporting unsigned

## integer values. Enabling this option will result in field type errors if

## existing data has been written.

# influx_uint_support = false

# # Configuration for Amon Server to send metrics to.

# [[outputs.amon]]

# ## Amon Server Key

# server_key = "my-server-key" # required.

#

# ## Amon Instance URL

# amon_instance = "https://youramoninstance" # required

#

# ## Connection timeout.

# # timeout = "5s"

# # Publishes metrics to an AMQP broker

# [[outputs.amqp]]

# ## Broker to publish to.

# ## deprecated in 1.7; use the brokers option

# # url = "amqp://localhost:5672/influxdb"

#

# ## Brokers to publish to. If multiple brokers are specified a random broker

# ## will be selected anytime a connection is established. This can be

# ## helpful for load balancing when not using a dedicated load balancer.

# brokers = ["amqp://localhost:5672/influxdb"]

#

# ## Maximum messages to send over a connection. Once this is reached, the

# ## connection is closed and a new connection is made. This can be helpful for

# ## load balancing when not using a dedicated load balancer.

# # max_messages = 0

#

# ## Exchange to declare and publish to.

# exchange = "telegraf"

#

# ## Exchange type; common types are "direct", "fanout", "topic", "header", "x-consistent-hash".

# # exchange_type = "topic"

#

# ## If true, exchange will be passively declared.

# # exchange_passive = false

#

# ## Exchange durability can be either "transient" or "durable".

# # exchange_durability = "durable"

#

# ## Additional exchange arguments.

# # exchange_arguments = { }

# # exchange_arguments = {"hash_property" = "timestamp"}

#

# ## Authentication credentials for the PLAIN auth_method.

# # username = ""

# # password = ""

#

# ## Auth method. PLAIN and EXTERNAL are supported

# ## Using EXTERNAL requires enabling the rabbitmq_auth_mechanism_ssl plugin as

# ## described here: https://www.rabbitmq.com/plugins.html

# # auth_method = "PLAIN"

#

# ## Metric tag to use as a routing key.

# ## ie, if this tag exists, its value will be used as the routing key

# # routing_tag = "host"

#

# ## Static routing key. Used when no routing_tag is set or as a fallback

# ## when the tag specified in routing tag is not found.

# # routing_key = ""

# # routing_key = "telegraf"

#

# ## Delivery Mode controls if a published message is persistent.

# ## One of "transient" or "persistent".

# # delivery_mode = "transient"

#

# ## InfluxDB database added as a message header.

# ## deprecated in 1.7; use the headers option

# # database = "telegraf"

#

# ## InfluxDB retention policy added as a message header

# ## deprecated in 1.7; use the headers option

# # retention_policy = "default"

#

# ## Static headers added to each published message.

# # headers = { }

# # headers = {"database" = "telegraf", "retention_policy" = "default"}

#

# ## Connection timeout. If not provided, will default to 5s. 0s means no

# ## timeout (not recommended).

# # timeout = "5s"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## If true use batch serialization format instead of line based delimiting.

# ## Only applies to data formats which are not line based such as JSON.

# ## Recommended to set to true.

# # use_batch_format = false

#

# ## Content encoding for message payloads, can be set to "gzip" to or

# ## "identity" to apply no encoding.

# ##

# ## Please note that when use_batch_format = false each amqp message contains only

# ## a single metric, it is recommended to use compression with batch format

# ## for best results.

# # content_encoding = "identity"

#

# ## Data format to output.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md

# # data_format = "influx"

# # Send metrics to Azure Application Insights

# [[outputs.application_insights]]

# ## Instrumentation key of the Application Insights resource.

# instrumentation_key = "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxx"

#

# ## Regions that require endpoint modification https://docs.microsoft.com/en-us/azure/azure-monitor/app/custom-endpoints

# # endpoint_url = "https://dc.services.visualstudio.com/v2/track"

#

# ## Timeout for closing (default: 5s).

# # timeout = "5s"

#

# ## Enable additional diagnostic logging.

# # enable_diagnostic_logging = false

#

# ## Context Tag Sources add Application Insights context tags to a tag value.

# ##

# ## For list of allowed context tag keys see:

# ## https://github.com/Microsoft/ApplicationInsights-Go/blob/master/appinsights/contracts/contexttagkeys.go

# # [outputs.application_insights.context_tag_sources]

# # "ai.cloud.role" = "kubernetes_container_name"

# # "ai.cloud.roleInstance" = "kubernetes_pod_name"

# # Send aggregate metrics to Azure Monitor

# [[outputs.azure_monitor]]

# ## Timeout for HTTP writes.

# # timeout = "20s"

#

# ## Set the namespace prefix, defaults to "Telegraf/<input-name>".

# # namespace_prefix = "Telegraf/"

#

# ## Azure Monitor doesn't have a string value type, so convert string

# ## fields to dimensions (a.k.a. tags) if enabled. Azure Monitor allows

# ## a maximum of 10 dimensions so Telegraf will only send the first 10

# ## alphanumeric dimensions.

# # strings_as_dimensions = false

#

# ## Both region and resource_id must be set or be available via the

# ## Instance Metadata service on Azure Virtual Machines.

# #

# ## Azure Region to publish metrics against.

# ## ex: region = "southcentralus"

# # region = ""

# #

# ## The Azure Resource ID against which metric will be logged, e.g.

# ## ex: resource_id = "/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.Compute/virtualMachines/<vm_name>"

# # resource_id = ""

#

# ## Optionally, if in Azure US Government, China or other sovereign

# ## cloud environment, set appropriate REST endpoint for receiving

# ## metrics. (Note: region may be unused in this context)

# # endpoint_url = "https://monitoring.core.usgovcloudapi.net"

# # Publish Telegraf metrics to a Google Cloud PubSub topic

# [[outputs.cloud_pubsub]]

# ## Required. Name of Google Cloud Platform (GCP) Project that owns

# ## the given PubSub topic.

# project = "my-project"

#

# ## Required. Name of PubSub topic to publish metrics to.

# topic = "my-topic"

#

# ## Required. Data format to consume.

# ## Each data format has its own unique set of configuration options.

# ## Read more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# data_format = "influx"

#

# ## Optional. Filepath for GCP credentials JSON file to authorize calls to

# ## PubSub APIs. If not set explicitly, Telegraf will attempt to use

# ## Application Default Credentials, which is preferred.

# # credentials_file = "path/to/my/creds.json"

#

# ## Optional. If true, will send all metrics per write in one PubSub message.

# # send_batched = true

#

# ## The following publish_* parameters specifically configures batching

# ## requests made to the GCP Cloud PubSub API via the PubSub Golang library. Read

# ## more here: https://godoc.org/cloud.google.com/go/pubsub#PublishSettings

#

# ## Optional. Send a request to PubSub (i.e. actually publish a batch)

# ## when it has this many PubSub messages. If send_batched is true,

# ## this is ignored and treated as if it were 1.

# # publish_count_threshold = 1000

#

# ## Optional. Send a request to PubSub (i.e. actually publish a batch)

# ## when it has this many PubSub messages. If send_batched is true,

# ## this is ignored and treated as if it were 1

# # publish_byte_threshold = 1000000

#

# ## Optional. Specifically configures requests made to the PubSub API.

# # publish_num_go_routines = 2

#

# ## Optional. Specifies a timeout for requests to the PubSub API.

# # publish_timeout = "30s"

#

# ## Optional. If true, published PubSub message data will be base64-encoded.

# # base64_data = false

#

# ## Optional. PubSub attributes to add to metrics.

# # [outputs.cloud_pubsub.attributes]

# # my_attr = "tag_value"

# # Configuration for AWS CloudWatch output.

# [[outputs.cloudwatch]]

# ## Amazon REGION

# region = "us-east-1"

#

# ## Amazon Credentials

# ## Credentials are loaded in the following order

# ## 1) Assumed credentials via STS if role_arn is specified

# ## 2) explicit credentials from 'access_key' and 'secret_key'

# ## 3) shared profile from 'profile'

# ## 4) environment variables

# ## 5) shared credentials file

# ## 6) EC2 Instance Profile

# #access_key = ""

# #secret_key = ""

# #token = ""

# #role_arn = ""

# #profile = ""

# #shared_credential_file = ""

#

# ## Endpoint to make request against, the correct endpoint is automatically

# ## determined and this option should only be set if you wish to override the

# ## default.

# ## ex: endpoint_url = "http://localhost:8000"

# # endpoint_url = ""

#

# ## Namespace for the CloudWatch MetricDatums

# namespace = "InfluxData/Telegraf"

#

# ## If you have a large amount of metrics, you should consider to send statistic

# ## values instead of raw metrics which could not only improve performance but

# ## also save AWS API cost. If enable this flag, this plugin would parse the required

# ## CloudWatch statistic fields (count, min, max, and sum) and send them to CloudWatch.

# ## You could use basicstats aggregator to calculate those fields. If not all statistic

# ## fields are available, all fields would still be sent as raw metrics.

# # write_statistics = false

#

# ## Enable high resolution metrics of 1 second (if not enabled, standard resolution are of 60 seconds precision)

# # high_resolution_metrics = false

# # Configuration for CrateDB to send metrics to.

# [[outputs.cratedb]]

# # A github.com/jackc/pgx connection string.

# # See https://godoc.org/github.com/jackc/pgx#ParseDSN

# url = "postgres://user:password@localhost/schema?sslmode=disable"

# # Timeout for all CrateDB queries.

# timeout = "5s"

# # Name of the table to store metrics in.

# table = "metrics"

# # If true, and the metrics table does not exist, create it automatically.

# table_create = true

# # Configuration for DataDog API to send metrics to.

# [[outputs.datadog]]

# ## Datadog API key

# apikey = "my-secret-key"

#

# ## Connection timeout.

# # timeout = "5s"

#

# ## Write URL override; useful for debugging.

# # url = "https://app.datadoghq.com/api/v1/series"

# # Send metrics to nowhere at all

# [[outputs.discard]]

# # no configuration

# # Send telegraf metrics to a Dynatrace environment

# [[outputs.dynatrace]]

# ## For usage with the Dynatrace OneAgent you can omit any configuration,

# ## the only requirement is that the OneAgent is running on the same host.

# ## Only setup environment url and token if you want to monitor a Host without the OneAgent present.

# ##

# ## Your Dynatrace environment URL.

# ## For Dynatrace OneAgent you can leave this empty or set it to "http://127.0.0.1:14499/metrics/ingest" (default)

# ## For Dynatrace SaaS environments the URL scheme is "https://{your-environment-id}.live.dynatrace.com/api/v2/metrics/ingest"

# ## For Dynatrace Managed environments the URL scheme is "https://{your-domain}/e/{your-environment-id}/api/v2/metrics/ingest"

# url = ""

#

# ## Your Dynatrace API token.

# ## Create an API token within your Dynatrace environment, by navigating to Settings > Integration > Dynatrace API

# ## The API token needs data ingest scope permission. When using OneAgent, no API token is required.

# api_token = ""

#

# ## Optional prefix for metric names (e.g.: "telegraf.")

# prefix = "telegraf."

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

#

# ## Optional flag for ignoring tls certificate check

# # insecure_skip_verify = false

#

#

# ## Connection timeout, defaults to "5s" if not set.

# timeout = "5s"

# # Configuration for Elasticsearch to send metrics to.

# [[outputs.elasticsearch]]

# ## The full HTTP endpoint URL for your Elasticsearch instance

# ## Multiple urls can be specified as part of the same cluster,

# ## this means that only ONE of the urls will be written to each interval.

# urls = [ "http://node1.es.example.com:9200" ] # required.

# ## Elasticsearch client timeout, defaults to "5s" if not set.

# timeout = "5s"

# ## Set to true to ask Elasticsearch a list of all cluster nodes,

# ## thus it is not necessary to list all nodes in the urls config option.

# enable_sniffer = false

# ## Set the interval to check if the Elasticsearch nodes are available

# ## Setting to "0s" will disable the health check (not recommended in production)

# health_check_interval = "10s"

# ## HTTP basic authentication details

# # username = "telegraf"

# # password = "mypassword"

#

# ## Index Config

# ## The target index for metrics (Elasticsearch will create if it not exists).

# ## You can use the date specifiers below to create indexes per time frame.

# ## The metric timestamp will be used to decide the destination index name

# # %Y - year (2016)

# # %y - last two digits of year (00..99)

# # %m - month (01..12)

# # %d - day of month (e.g., 01)

# # %H - hour (00..23)

# # %V - week of the year (ISO week) (01..53)

# ## Additionally, you can specify a tag name using the notation {{tag_name}}

# ## which will be used as part of the index name. If the tag does not exist,

# ## the default tag value will be used.

# # index_name = "telegraf-{{host}}-%Y.%m.%d"

# # default_tag_value = "none"

# index_name = "telegraf-%Y.%m.%d" # required.

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## Template Config

# ## Set to true if you want telegraf to manage its index template.

# ## If enabled it will create a recommended index template for telegraf indexes

# manage_template = true

# ## The template name used for telegraf indexes

# template_name = "telegraf"

# ## Set to true if you want telegraf to overwrite an existing template

# overwrite_template = false

# ## If set to true a unique ID hash will be sent as sha256(concat(timestamp,measurement,series-hash)) string

# ## it will enable data resend and update metric points avoiding duplicated metrics with diferent id's

# force_document_id = false

# # Send metrics to command as input over stdin

# [[outputs.exec]]

# ## Command to ingest metrics via stdin.

# command = ["tee", "-a", "/dev/null"]

#

# ## Timeout for command to complete.

# # timeout = "5s"

#

# ## Data format to output.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md

# # data_format = "influx"

# # Run executable as long-running output plugin

# [[outputs.execd]]

# ## Program to run as daemon

# command = ["my-telegraf-output", "--some-flag", "value"]

#

# ## Delay before the process is restarted after an unexpected termination

# restart_delay = "10s"

#

# ## Data format to export.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md

# data_format = "influx"

# # Send telegraf metrics to file(s)

# [[outputs.file]]

# ## Files to write to, "stdout" is a specially handled file.

# files = ["stdout", "/tmp/metrics.out"]

#

# ## Use batch serialization format instead of line based delimiting. The

# ## batch format allows for the production of non line based output formats and

# ## may more efficiently encode metric groups.

# # use_batch_format = false

#

# ## The file will be rotated after the time interval specified. When set

# ## to 0 no time based rotation is performed.

# # rotation_interval = "0d"

#

# ## The logfile will be rotated when it becomes larger than the specified

# ## size. When set to 0 no size based rotation is performed.

# # rotation_max_size = "0MB"

#

# ## Maximum number of rotated archives to keep, any older logs are deleted.

# ## If set to -1, no archives are removed.

# # rotation_max_archives = 5

#

# ## Data format to output.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md

# data_format = "influx"

# # Configuration for Graphite server to send metrics to

# [[outputs.graphite]]

# ## TCP endpoint for your graphite instance.

# ## If multiple endpoints are configured, output will be load balanced.

# ## Only one of the endpoints will be written to with each iteration.

# servers = ["localhost:2003"]

# ## Prefix metrics name

# prefix = ""

# ## Graphite output template

# ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md

# template = "host.tags.measurement.field"

#

# ## Enable Graphite tags support

# # graphite_tag_support = false

#

# ## Character for separating metric name and field for Graphite tags

# # graphite_separator = "."

#

# ## Graphite templates patterns

# ## 1. Template for cpu

# ## 2. Template for disk*

# ## 3. Default template

# # templates = [

# # "cpu tags.measurement.host.field",

# # "disk* measurement.field",

# # "host.measurement.tags.field"

# #]

#

# ## timeout in seconds for the write connection to graphite

# timeout = 2

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Send telegraf metrics to graylog

# [[outputs.graylog]]

# ## UDP endpoint for your graylog instance.

# servers = ["127.0.0.1:12201"]

#

# ## The field to use as the GELF short_message, if unset the static string

# ## "telegraf" will be used.

# ## example: short_message_field = "message"

# # short_message_field = ""

# # Configurable HTTP health check resource based on metrics

# [[outputs.health]]

# ## Address and port to listen on.

# ## ex: service_address = "http://localhost:8080"

# ## service_address = "unix:///var/run/telegraf-health.sock"

# # service_address = "http://:8080"

#

# ## The maximum duration for reading the entire request.

# # read_timeout = "5s"

# ## The maximum duration for writing the entire response.

# # write_timeout = "5s"

#

# ## Username and password to accept for HTTP basic authentication.

# # basic_username = "user1"

# # basic_password = "secret"

#

# ## Allowed CA certificates for client certificates.

# # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]

#

# ## TLS server certificate and private key.

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

#

# ## One or more check sub-tables should be defined, it is also recommended to

# ## use metric filtering to limit the metrics that flow into this output.

# ##

# ## When using the default buffer sizes, this example will fail when the

# ## metric buffer is half full.

# ##

# ## namepass = ["internal_write"]

# ## tagpass = { output = ["influxdb"] }

# ##

# ## [[outputs.health.compares]]

# ## field = "buffer_size"

# ## lt = 5000.0

# ##

# ## [[outputs.health.contains]]

# ## field = "buffer_size"

# # A plugin that can transmit metrics over HTTP

# [[outputs.http]]

# ## URL is the address to send metrics to

# url = "http://127.0.0.1:8080/telegraf"

#

# ## Timeout for HTTP message

# # timeout = "5s"

#

# ## HTTP method, one of: "POST" or "PUT"

# # method = "POST"

#

# ## HTTP Basic Auth credentials

# # username = "username"

# # password = "pa$$word"

#

# ## OAuth2 Client Credentials Grant

# # client_id = "clientid"

# # client_secret = "secret"

# # token_url = "https://indentityprovider/oauth2/v1/token"

# # scopes = ["urn:opc:idm:__myscopes__"]

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## Data format to output.

# ## Each data format has it's own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md

# # data_format = "influx"

#

# ## HTTP Content-Encoding for write request body, can be set to "gzip" to

# ## compress body or "identity" to apply no encoding.

# # content_encoding = "identity"

#

# ## Additional HTTP headers

# # [outputs.http.headers]

# # # Should be set manually to "application/json" for json data_format

# # Content-Type = "text/plain; charset=utf-8"

# # Configuration for sending metrics to InfluxDB

# [[outputs.influxdb_v2]]

# ## The URLs of the InfluxDB cluster nodes.

# ##

# ## Multiple URLs can be specified for a single cluster, only ONE of the

# ## urls will be written to each interval.

# ## ex: urls = ["https://us-west-2-1.aws.cloud2.influxdata.com"]

# urls = ["http://127.0.0.1:8086"]

#

# ## Token for authentication.

# token = ""

#

# ## Organization is the name of the organization you wish to write to; must exist.

# organization = ""

#

# ## Destination bucket to write into.

# bucket = ""

#

# ## The value of this tag will be used to determine the bucket. If this

# ## tag is not set the 'bucket' option is used as the default.

# # bucket_tag = ""

#

# ## If true, the bucket tag will not be added to the metric.

# # exclude_bucket_tag = false

#

# ## Timeout for HTTP messages.

# # timeout = "5s"

#

# ## Additional HTTP headers

# # http_headers = {"X-Special-Header" = "Special-Value"}

#

# ## HTTP Proxy override, if unset values the standard proxy environment

# ## variables are consulted to determine which proxy, if any, should be used.

# # http_proxy = "http://corporate.proxy:3128"

#

# ## HTTP User-Agent

# # user_agent = "telegraf"

#

# ## Content-Encoding for write request body, can be set to "gzip" to

# ## compress body or "identity" to apply no encoding.

# # content_encoding = "gzip"

#

# ## Enable or disable uint support for writing uints influxdb 2.0.

# # influx_uint_support = false

#

# ## Optional TLS Config for use on HTTP connections.

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Configuration for sending metrics to an Instrumental project

# [[outputs.instrumental]]

# ## Project API Token (required)

# api_token = "API Token" # required

# ## Prefix the metrics with a given name

# prefix = ""

# ## Stats output template (Graphite formatting)

# ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md#graphite

# template = "host.tags.measurement.field"

# ## Timeout in seconds to connect

# timeout = "2s"

# ## Display Communication to Instrumental

# debug = false

# # Configuration for the Kafka server to send metrics to

# [[outputs.kafka]]

# ## URLs of kafka brokers

# brokers = ["localhost:9092"]

# ## Kafka topic for producer messages

# topic = "telegraf"

#

# ## The value of this tag will be used as the topic. If not set the 'topic'

# ## option is used.

# # topic_tag = ""

#

# ## If true, the 'topic_tag' will be removed from to the metric.

# # exclude_topic_tag = false

#

# ## Optional Client id

# # client_id = "Telegraf"

#

# ## Set the minimal supported Kafka version. Setting this enables the use of new

# ## Kafka features and APIs. Of particular interest, lz4 compression

# ## requires at least version 0.10.0.0.

# ## ex: version = "1.1.0"

# # version = ""

#

# ## Optional topic suffix configuration.

# ## If the section is omitted, no suffix is used.

# ## Following topic suffix methods are supported:

# ## measurement - suffix equals to separator + measurement's name

# ## tags - suffix equals to separator + specified tags' values

# ## interleaved with separator

#

# ## Suffix equals to "_" + measurement name

# # [outputs.kafka.topic_suffix]

# # method = "measurement"

# # separator = "_"

#

# ## Suffix equals to "__" + measurement's "foo" tag value.

# ## If there's no such a tag, suffix equals to an empty string

# # [outputs.kafka.topic_suffix]

# # method = "tags"

# # keys = ["foo"]

# # separator = "__"

#

# ## Suffix equals to "_" + measurement's "foo" and "bar"

# ## tag values, separated by "_". If there is no such tags,

# ## their values treated as empty strings.

# # [outputs.kafka.topic_suffix]

# # method = "tags"

# # keys = ["foo", "bar"]

# # separator = "_"

#

# ## The routing tag specifies a tagkey on the metric whose value is used as

# ## the message key. The message key is used to determine which partition to

# ## send the message to. This tag is prefered over the routing_key option.

# routing_tag = "host"

#

# ## The routing key is set as the message key and used to determine which

# ## partition to send the message to. This value is only used when no

# ## routing_tag is set or as a fallback when the tag specified in routing tag

# ## is not found.

# ##

# ## If set to "random", a random value will be generated for each message.

# ##

# ## When unset, no message key is added and each message is routed to a random

# ## partition.

# ##

# ## ex: routing_key = "random"

# ## routing_key = "telegraf"

# # routing_key = ""

#

# ## CompressionCodec represents the various compression codecs recognized by

# ## Kafka in messages.

# ## 0 : No compression

# ## 1 : Gzip compression

# ## 2 : Snappy compression

# ## 3 : LZ4 compression

# # compression_codec = 0

#

# ## RequiredAcks is used in Produce Requests to tell the broker how many

# ## replica acknowledgements it must see before responding

# ## 0 : the producer never waits for an acknowledgement from the broker.

# ## This option provides the lowest latency but the weakest durability

# ## guarantees (some data will be lost when a server fails).

# ## 1 : the producer gets an acknowledgement after the leader replica has

# ## received the data. This option provides better durability as the

# ## client waits until the server acknowledges the request as successful

# ## (only messages that were written to the now-dead leader but not yet

# ## replicated will be lost).

# ## -1: the producer gets an acknowledgement after all in-sync replicas have

# ## received the data. This option provides the best durability, we

# ## guarantee that no messages will be lost as long as at least one in

# ## sync replica remains.

# # required_acks = -1

#

# ## The maximum number of times to retry sending a metric before failing

# ## until the next flush.

# # max_retry = 3

#

# ## The maximum permitted size of a message. Should be set equal to or

# ## smaller than the broker's 'message.max.bytes'.

# # max_message_bytes = 1000000

#

# ## Optional TLS Config

# # enable_tls = true

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## Optional SASL Config

# # sasl_username = "kafka"

# # sasl_password = "secret"

#

# ## SASL protocol version. When connecting to Azure EventHub set to 0.

# # sasl_version = 1

#

# ## Data format to output.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md

# # data_format = "influx"

# # Configuration for the AWS Kinesis output.

# [[outputs.kinesis]]

# ## Amazon REGION of kinesis endpoint.

# region = "ap-southeast-2"

#

# ## Amazon Credentials

# ## Credentials are loaded in the following order

# ## 1) Assumed credentials via STS if role_arn is specified

# ## 2) explicit credentials from 'access_key' and 'secret_key'

# ## 3) shared profile from 'profile'

# ## 4) environment variables

# ## 5) shared credentials file

# ## 6) EC2 Instance Profile

# #access_key = ""

# #secret_key = ""

# #token = ""

# #role_arn = ""

# #profile = ""

# #shared_credential_file = ""

#

# ## Endpoint to make request against, the correct endpoint is automatically

# ## determined and this option should only be set if you wish to override the

# ## default.

# ## ex: endpoint_url = "http://localhost:8000"

# # endpoint_url = ""

#

# ## Kinesis StreamName must exist prior to starting telegraf.

# streamname = "StreamName"

# ## DEPRECATED: PartitionKey as used for sharding data.

# partitionkey = "PartitionKey"

# ## DEPRECATED: If set the partitionKey will be a random UUID on every put.

# ## This allows for scaling across multiple shards in a stream.

# ## This will cause issues with ordering.

# use_random_partitionkey = false

# ## The partition key can be calculated using one of several methods:

# ##

# ## Use a static value for all writes:

# # [outputs.kinesis.partition]

# # method = "static"

# # key = "howdy"

# #

# ## Use a random partition key on each write:

# # [outputs.kinesis.partition]

# # method = "random"

# #

# ## Use the measurement name as the partition key:

# # [outputs.kinesis.partition]

# # method = "measurement"

# #

# ## Use the value of a tag for all writes, if the tag is not set the empty

# ## default option will be used. When no default, defaults to "telegraf"

# # [outputs.kinesis.partition]

# # method = "tag"

# # key = "host"

# # default = "mykey"

#

#

# ## Data format to output.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md

# data_format = "influx"

#

# ## debug will show upstream aws messages.

# debug = false

# # Configuration for Librato API to send metrics to.

# [[outputs.librato]]

# ## Librato API Docs

# ## http://dev.librato.com/v1/metrics-authentication

# ## Librato API user

# api_user = "[email protected]" # required.

# ## Librato API token

# api_token = "my-secret-token" # required.

# ## Debug

# # debug = false

# ## Connection timeout.

# # timeout = "5s"

# ## Output source Template (same as graphite buckets)

# ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md#graphite

# ## This template is used in librato's source (not metric's name)

# template = "host"

#

# # Configuration for MQTT server to send metrics to

# [[outputs.mqtt]]

# servers = ["localhost:1883"] # required.

#

# ## MQTT outputs send metrics to this topic format

# ## "<topic_prefix>/<hostname>/<pluginname>/"

# ## ex: prefix/web01.example.com/mem

# topic_prefix = "telegraf"

#

# ## QoS policy for messages

# ## 0 = at most once

# ## 1 = at least once

# ## 2 = exactly once

# # qos = 2

#

# ## username and password to connect MQTT server.

# # username = "telegraf"

# # password = "metricsmetricsmetricsmetrics"

#

# ## client ID, if not set a random ID is generated

# # client_id = ""

#

# ## Timeout for write operations. default: 5s

# # timeout = "5s"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## When true, metrics will be sent in one MQTT message per flush. Otherwise,

# ## metrics are written one metric per MQTT message.

# # batch = false

#

# ## When true, metric will have RETAIN flag set, making broker cache entries until someone

# ## actually reads it

# # retain = false

#

# ## Data format to output.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md

# data_format = "influx"

# # Send telegraf measurements to NATS

# [[outputs.nats]]

# ## URLs of NATS servers

# servers = ["nats://localhost:4222"]

#

# ## Optional credentials

# # username = ""

# # password = ""

#

# ## Optional NATS 2.0 and NATS NGS compatible user credentials

# # credentials = "/etc/telegraf/nats.creds"

#

# ## NATS subject for producer messages

# subject = "telegraf"

#

# ## Use Transport Layer Security

# # secure = false

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## Data format to output.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md

# data_format = "influx"

# # Send metrics to New Relic metrics endpoint

# [[outputs.newrelic]]

# ## New Relic Insights API key

# insights_key = "insights api key"

#

# ## Prefix to add to add to metric name for easy identification.

# # metric_prefix = ""

#

# ## Timeout for writes to the New Relic API.

# # timeout = "15s"

# # Send telegraf measurements to NSQD

# [[outputs.nsq]]

# ## Location of nsqd instance listening on TCP

# server = "localhost:4150"

# ## NSQ topic for producer messages

# topic = "telegraf"

#

# ## Data format to output.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md

# data_format = "influx"

# # Configuration for OpenTSDB server to send metrics to

# [[outputs.opentsdb]]

# ## prefix for metrics keys

# prefix = "my.specific.prefix."

#

# ## DNS name of the OpenTSDB server

# ## Using "opentsdb.example.com" or "tcp://opentsdb.example.com" will use the

# ## telnet API. "http://opentsdb.example.com" will use the Http API.

# host = "opentsdb.example.com"

#

# ## Port of the OpenTSDB server

# port = 4242

#

# ## Number of data points to send to OpenTSDB in Http requests.

# ## Not used with telnet API.

# http_batch_size = 50

#

# ## URI Path for Http requests to OpenTSDB.

# ## Used in cases where OpenTSDB is located behind a reverse proxy.

# http_path = "/api/put"

#

# ## Debug true - Prints OpenTSDB communication

# debug = false

#

# ## Separator separates measurement name from field

# separator = "_"

# # Configuration for the Prometheus client to spawn

# [[outputs.prometheus_client]]

# ## Address to listen on

# listen = ":9273"

#

# ## Metric version controls the mapping from Telegraf metrics into

# ## Prometheus format. When using the prometheus input, use the same value in

# ## both plugins to ensure metrics are round-tripped without modification.

# ##

# ## example: metric_version = 1; deprecated in 1.13

# ## metric_version = 2; recommended version

# # metric_version = 1

#

# ## Use HTTP Basic Authentication.

# # basic_username = "Foo"

# # basic_password = "Bar"

#

# ## If set, the IP Ranges which are allowed to access metrics.

# ## ex: ip_range = ["192.168.0.0/24", "192.168.1.0/30"]

# # ip_range = []

#

# ## Path to publish the metrics on.

# # path = "/metrics"

#

# ## Expiration interval for each metric. 0 == no expiration

# # expiration_interval = "60s"

#

# ## Collectors to enable, valid entries are "gocollector" and "process".

# ## If unset, both are enabled.

# # collectors_exclude = ["gocollector", "process"]

#

# ## Send string metrics as Prometheus labels.

# ## Unless set to false all string metrics will be sent as labels.

# # string_as_label = true

#

# ## If set, enable TLS with the given certificate.

# # tls_cert = "/etc/ssl/telegraf.crt"

# # tls_key = "/etc/ssl/telegraf.key"

#

# ## Set one or more allowed client CA certificate file names to

# ## enable mutually authenticated TLS connections

# # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]

#

# ## Export metric collection time.

# # export_timestamp = false

# # Configuration for the Riemann server to send metrics to

# [[outputs.riemann]]

# ## The full TCP or UDP URL of the Riemann server

# url = "tcp://localhost:5555"

#

# ## Riemann event TTL, floating-point time in seconds.

# ## Defines how long that an event is considered valid for in Riemann

# # ttl = 30.0

#

# ## Separator to use between measurement and field name in Riemann service name

# ## This does not have any effect if 'measurement_as_attribute' is set to 'true'

# separator = "/"

#

# ## Set measurement name as Riemann attribute 'measurement', instead of prepending it to the Riemann service name

# # measurement_as_attribute = false

#

# ## Send string metrics as Riemann event states.

# ## Unless enabled all string metrics will be ignored

# # string_as_state = false

#

# ## A list of tag keys whose values get sent as Riemann tags.

# ## If empty, all Telegraf tag values will be sent as tags

# # tag_keys = ["telegraf","custom_tag"]

#

# ## Additional Riemann tags to send.

# # tags = ["telegraf-output"]

#

# ## Description for Riemann event

# # description_text = "metrics collected from telegraf"

#

# ## Riemann client write timeout, defaults to "5s" if not set.

# # timeout = "5s"

# # Configuration for the Riemann server to send metrics to

# [[outputs.riemann_legacy]]

# ## URL of server

# url = "localhost:5555"

# ## transport protocol to use either tcp or udp

# transport = "tcp"

# ## separator to use between input name and field name in Riemann service name

# separator = " "

# # Generic socket writer capable of handling multiple socket types.

# [[outputs.socket_writer]]

# ## URL to connect to

# # address = "tcp://127.0.0.1:8094"

# # address = "tcp://example.com:http"

# # address = "tcp4://127.0.0.1:8094"

# # address = "tcp6://127.0.0.1:8094"

# # address = "tcp6://[2001:db8::1]:8094"

# # address = "udp://127.0.0.1:8094"

# # address = "udp4://127.0.0.1:8094"

# # address = "udp6://127.0.0.1:8094"

# # address = "unix:///tmp/telegraf.sock"

# # address = "unixgram:///tmp/telegraf.sock"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## Period between keep alive probes.

# ## Only applies to TCP sockets.

# ## 0 disables keep alive probes.

# ## Defaults to the OS configuration.

# # keep_alive_period = "5m"

#

# ## Content encoding for packet-based connections (i.e. UDP, unixgram).

# ## Can be set to "gzip" or to "identity" to apply no encoding.

# ##

# # content_encoding = "identity"

#

# ## Data format to generate.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# # data_format = "influx"

# # Configuration for Google Cloud Stackdriver to send metrics to

# [[outputs.stackdriver]]

# ## GCP Project

# project = "erudite-bloom-151019"

#

# ## The namespace for the metric descriptor

# namespace = "telegraf"

#

# ## Custom resource type

# # resource_type = "generic_node"

#

# ## Additional resource labels

# # [outputs.stackdriver.resource_labels]

# # node_id = "$HOSTNAME"

# # namespace = "myapp"

# # location = "eu-north0"

# # A plugin that can transmit metrics to Sumo Logic HTTP Source

# [[outputs.sumologic]]

# ## Unique URL generated for your HTTP Metrics Source.

# ## This is the address to send metrics to.

# # url = "https://events.sumologic.net/receiver/v1/http/<UniqueHTTPCollectorCode>"

#

# ## Data format to be used for sending metrics.

# ## This will set the "Content-Type" header accordingly.

# ## Currently supported formats:

# ## * graphite - for Content-Type of application/vnd.sumologic.graphite

# ## * carbon2 - for Content-Type of application/vnd.sumologic.carbon2

# ## * prometheus - for Content-Type of application/vnd.sumologic.prometheus

# ##

# ## More information can be found at:

# ## https://help.sumologic.com/03Send-Data/Sources/02Sources-for-Hosted-Collectors/HTTP-Source/Upload-Metrics-to-an-HTTP-Source#content-type-headers-for-metrics

# ##

# ## NOTE:

# ## When unset, telegraf will by default use the influx serializer which is currently unsupported

# ## in HTTP Source.

# data_format = "carbon2"

#

# ## Timeout used for HTTP request

# # timeout = "5s"

#

# ## Max HTTP request body size in bytes before compression (if applied).

# ## By default 1MB is recommended.

# ## NOTE:

# ## Bear in mind that in some serializer a metric even though serialized to multiple

# ## lines cannot be split any further so setting this very low might not work

# ## as expected.

# # max_request_body_size = 1000000

#

# ## Additional, Sumo specific options.

# ## Full list can be found here:

# ## https://help.sumologic.com/03Send-Data/Sources/02Sources-for-Hosted-Collectors/HTTP-Source/Upload-Metrics-to-an-HTTP-Source#supported-http-headers

#

# ## Desired source name.

# ## Useful if you want to override the source name configured for the source.

# # source_name = ""

#

# ## Desired host name.

# ## Useful if you want to override the source host configured for the source.

# # source_host = ""

#

# ## Desired source category.

# ## Useful if you want to override the source category configured for the source.

# # source_category = ""

#

# ## Comma-separated key=value list of dimensions to apply to every metric.

# ## Custom dimensions will allow you to query your metrics at a more granular level.

# # dimensions = ""

# # Configuration for Syslog server to send metrics to

# [[outputs.syslog]]

# ## URL to connect to

# ## ex: address = "tcp://127.0.0.1:8094"

# ## ex: address = "tcp4://127.0.0.1:8094"

# ## ex: address = "tcp6://127.0.0.1:8094"

# ## ex: address = "tcp6://[2001:db8::1]:8094"

# ## ex: address = "udp://127.0.0.1:8094"

# ## ex: address = "udp4://127.0.0.1:8094"

# ## ex: address = "udp6://127.0.0.1:8094"

# address = "tcp://127.0.0.1:8094"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## Period between keep alive probes.

# ## Only applies to TCP sockets.

# ## 0 disables keep alive probes.

# ## Defaults to the OS configuration.

# # keep_alive_period = "5m"

#

# ## The framing technique with which it is expected that messages are

# ## transported (default = "octet-counting"). Whether the messages come

# ## using the octect-counting (RFC5425#section-4.3.1, RFC6587#section-3.4.1),

# ## or the non-transparent framing technique (RFC6587#section-3.4.2). Must

# ## be one of "octet-counting", "non-transparent".

# # framing = "octet-counting"

#

# ## The trailer to be expected in case of non-transparent framing (default = "LF").

# ## Must be one of "LF", or "NUL".

# # trailer = "LF"

#

# ## SD-PARAMs settings

# ## Syslog messages can contain key/value pairs within zero or more

# ## structured data sections. For each unrecognized metric tag/field a

# ## SD-PARAMS is created.

# ##

# ## Example:

# ## [[outputs.syslog]]

# ## sdparam_separator = "_"

# ## default_sdid = "default@32473"

# ## sdids = ["foo@123", "bar@456"]

# ##

# ## input => xyzzy,x=y foo@123_value=42,bar@456_value2=84,something_else=1

# ## output (structured data only) => [foo@123 value=42][bar@456 value2=84][default@32473 something_else=1 x=y]

#

# ## SD-PARAMs separator between the sdid and tag/field key (default = "_")

# # sdparam_separator = "_"

#

# ## Default sdid used for tags/fields that don't contain a prefix defined in

# ## the explicit sdids setting below If no default is specified, no SD-PARAMs

# ## will be used for unrecognized field.

# # default_sdid = "default@32473"

#

# ## List of explicit prefixes to extract from tag/field keys and use as the

# ## SDID, if they match (see above example for more details):

# # sdids = ["foo@123", "bar@456"]

#

# ## Default severity value. Severity and Facility are used to calculate the

# ## message PRI value (RFC5424#section-6.2.1). Used when no metric field

# ## with key "severity_code" is defined. If unset, 5 (notice) is the default

# # default_severity_code = 5

#

# ## Default facility value. Facility and Severity are used to calculate the

# ## message PRI value (RFC5424#section-6.2.1). Used when no metric field with

# ## key "facility_code" is defined. If unset, 1 (user-level) is the default

# # default_facility_code = 1

#

# ## Default APP-NAME value (RFC5424#section-6.2.5)

# ## Used when no metric tag with key "appname" is defined.

# ## If unset, "Telegraf" is the default

# # default_appname = "Telegraf"

# # Configuration for Amazon Timestream output.

# [[outputs.timestream]]

# ## Amazon Region

# region = "us-east-1"

#

# ## Amazon Credentials

# ## Credentials are loaded in the following order:

# ## 1) Assumed credentials via STS if role_arn is specified

# ## 2) Explicit credentials from 'access_key' and 'secret_key'

# ## 3) Shared profile from 'profile'

# ## 4) Environment variables

# ## 5) Shared credentials file

# ## 6) EC2 Instance Profile

# #access_key = ""

# #secret_key = ""

# #token = ""

# #role_arn = ""

# #profile = ""

# #shared_credential_file = ""

#

# ## Endpoint to make request against, the correct endpoint is automatically

# ## determined and this option should only be set if you wish to override the

# ## default.

# ## ex: endpoint_url = "http://localhost:8000"

# # endpoint_url = ""

#

# ## Timestream database where the metrics will be inserted.

# ## The database must exist prior to starting Telegraf.

# database_name = "yourDatabaseNameHere"

#

# ## Specifies if the plugin should describe the Timestream database upon starting

# ## to validate if it has access necessary permissions, connection, etc., as a safety check.

# ## If the describe operation fails, the plugin will not start

# ## and therefore the Telegraf agent will not start.

# describe_database_on_start = false

#

# ## The mapping mode specifies how Telegraf records are represented in Timestream.

# ## Valid values are: single-table, multi-table.

# ## For example, consider the following data in line protocol format:

# ## weather,location=us-midwest,season=summer temperature=82,humidity=71 1465839830100400200

# ## airquality,location=us-west no2=5,pm25=16 1465839830100400200

# ## where weather and airquality are the measurement names, location and season are tags,

# ## and temperature, humidity, no2, pm25 are fields.

# ## In multi-table mode:

# ## - first line will be ingested to table named weather

# ## - second line will be ingested to table named airquality

# ## - the tags will be represented as dimensions

# ## - first table (weather) will have two records:

# ## one with measurement name equals to temperature,

# ## another with measurement name equals to humidity

# ## - second table (airquality) will have two records:

# ## one with measurement name equals to no2,

# ## another with measurement name equals to pm25

# ## - the Timestream tables from the example will look like this:

# ## TABLE "weather":

# ## time | location | season | measure_name | measure_value::bigint

# ## 2016-06-13 17:43:50 | us-midwest | summer | temperature | 82

# ## 2016-06-13 17:43:50 | us-midwest | summer | humidity | 71

# ## TABLE "airquality":

# ## time | location | measure_name | measure_value::bigint

# ## 2016-06-13 17:43:50 | us-west | no2 | 5

# ## 2016-06-13 17:43:50 | us-west | pm25 | 16

# ## In single-table mode:

# ## - the data will be ingested to a single table, which name will be valueOf(single_table_name)

# ## - measurement name will stored in dimension named valueOf(single_table_dimension_name_for_telegraf_measurement_name)

# ## - location and season will be represented as dimensions

# ## - temperature, humidity, no2, pm25 will be represented as measurement name

# ## - the Timestream table from the example will look like this:

# ## Assuming:

# ## - single_table_name = "my_readings"

# ## - single_table_dimension_name_for_telegraf_measurement_name = "namespace"

# ## TABLE "my_readings":

# ## time | location | season | namespace | measure_name | measure_value::bigint

# ## 2016-06-13 17:43:50 | us-midwest | summer | weather | temperature | 82

# ## 2016-06-13 17:43:50 | us-midwest | summer | weather | humidity | 71

# ## 2016-06-13 17:43:50 | us-west | NULL | airquality | no2 | 5

# ## 2016-06-13 17:43:50 | us-west | NULL | airquality | pm25 | 16

# ## In most cases, using multi-table mapping mode is recommended.

# ## However, you can consider using single-table in situations when you have thousands of measurement names.

# mapping_mode = "multi-table"

#

# ## Only valid and required for mapping_mode = "single-table"

# ## Specifies the Timestream table where the metrics will be uploaded.

# # single_table_name = "yourTableNameHere"

#

# ## Only valid and required for mapping_mode = "single-table"

# ## Describes what will be the Timestream dimension name for the Telegraf

# ## measurement name.

# # single_table_dimension_name_for_telegraf_measurement_name = "namespace"

#

# ## Specifies if the plugin should create the table, if the table do not exist.

# ## The plugin writes the data without prior checking if the table exists.

# ## When the table does not exist, the error returned from Timestream will cause

# ## the plugin to create the table, if this parameter is set to true.

# create_table_if_not_exists = true

#

# ## Only valid and required if create_table_if_not_exists = true

# ## Specifies the Timestream table magnetic store retention period in days.

# ## Check Timestream documentation for more details.

# create_table_magnetic_store_retention_period_in_days = 365

#

# ## Only valid and required if create_table_if_not_exists = true

# ## Specifies the Timestream table memory store retention period in hours.

# ## Check Timestream documentation for more details.

# create_table_memory_store_retention_period_in_hours = 24

#

# ## Only valid and optional if create_table_if_not_exists = true

# ## Specifies the Timestream table tags.

# ## Check Timestream documentation for more details

# # create_table_tags = { "foo" = "bar", "environment" = "dev"}

# # Write metrics to Warp 10

# [[outputs.warp10]]

# # Prefix to add to the measurement.

# prefix = "telegraf."

#

# # URL of the Warp 10 server

# warp_url = "http://localhost:8080"

#

# # Write token to access your app on warp 10

# token = "Token"

#

# # Warp 10 query timeout

# # timeout = "15s"

#

# ## Print Warp 10 error body

# # print_error_body = false

#

# ## Max string error size

# # max_string_error_size = 511

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Configuration for Wavefront server to send metrics to

# [[outputs.wavefront]]

# ## Url for Wavefront Direct Ingestion or using HTTP with Wavefront Proxy

# ## If using Wavefront Proxy, also specify port. example: http://proxyserver:2878

# url = "https://metrics.wavefront.com"

#

# ## Authentication Token for Wavefront. Only required if using Direct Ingestion

# #token = "DUMMY_TOKEN"

#

# ## DNS name of the wavefront proxy server. Do not use if url is specified

# #host = "wavefront.example.com"

#

# ## Port that the Wavefront proxy server listens on. Do not use if url is specified

# #port = 2878

#

# ## prefix for metrics keys

# #prefix = "my.specific.prefix."

#

# ## whether to use "value" for name of simple fields. default is false

# #simple_fields = false

#

# ## character to use between metric and field name. default is . (dot)

# #metric_separator = "."

#

# ## Convert metric name paths to use metricSeparator character

# ## When true will convert all _ (underscore) characters in final metric name. default is true

# #convert_paths = true

#

# ## Use Strict rules to sanitize metric and tag names from invalid characters

# ## When enabled forward slash (/) and comma (,) will be accepted

# #use_strict = false

#

# ## Use Regex to sanitize metric and tag names from invalid characters

# ## Regex is more thorough, but significantly slower. default is false

# #use_regex = false

#

# ## point tags to use as the source name for Wavefront (if none found, host will be used)

# #source_override = ["hostname", "address", "agent_host", "node_host"]

#

# ## whether to convert boolean values to numeric values, with false -> 0.0 and true -> 1.0. default is true

# #convert_bool = true

#

# ## Truncate metric tags to a total of 254 characters for the tag name value. Wavefront will reject any

# ## data point exceeding this limit if not truncated. Defaults to 'false' to provide backwards compatibility.

# #truncate_tags = false

#

# ## Define a mapping, namespaced by metric prefix, from string values to numeric values

# ## deprecated in 1.9; use the enum processor plugin

# #[[outputs.wavefront.string_to_number.elasticsearch]]

# # green = 1.0

# # yellow = 0.5

# # red = 0.0

###############################################################################

# PROCESSOR PLUGINS #

###############################################################################

# # Clone metrics and apply modifications.

# [[processors.clone]]

# ## All modifications on inputs and aggregators can be overridden:

# # name_override = "new_name"

# # name_prefix = "new_name_prefix"

# # name_suffix = "new_name_suffix"

#

# ## Tags to be added (all values must be strings)

# # [processors.clone.tags]

# # additional_tag = "tag_value"

# # Convert values to another metric value type

# [[processors.converter]]

# ## Tags to convert

# ##

# ## The table key determines the target type, and the array of key-values

# ## select the keys to convert. The array may contain globs.

# ## <target-type> = [<tag-key>...]

# [processors.converter.tags]

# measurement = []

# string = []

# integer = []

# unsigned = []

# boolean = []

# float = []

#

# ## Fields to convert

# ##

# ## The table key determines the target type, and the array of key-values

# ## select the keys to convert. The array may contain globs.

# ## <target-type> = [<field-key>...]

# [processors.converter.fields]

# measurement = []

# tag = []

# string = []

# integer = []

# unsigned = []

# boolean = []

# float = []

# # Dates measurements, tags, and fields that pass through this filter.

# [[processors.date]]

# ## New tag to create

# tag_key = "month"

#

# ## New field to create (cannot set both field_key and tag_key)

# # field_key = "month"

#

# ## Date format string, must be a representation of the Go "reference time"

# ## which is "Mon Jan 2 15:04:05 -0700 MST 2006".

# date_format = "Jan"

#

# ## If destination is a field, date format can also be one of

# ## "unix", "unix_ms", "unix_us", or "unix_ns", which will insert an integer field.

# # date_format = "unix"

#

# ## Offset duration added to the date string when writing the new tag.

# # date_offset = "0s"

#

# ## Timezone to use when creating the tag or field using a reference time

# ## string. This can be set to one of "UTC", "Local", or to a location name

# ## in the IANA Time Zone database.

# ## example: timezone = "America/Los_Angeles"

# # timezone = "UTC"

# # Filter metrics with repeating field values

# [[processors.dedup]]

# ## Maximum time to suppress output

# dedup_interval = "600s"

# # Defaults sets default value(s) for specified fields that are not set on incoming metrics.

# [[processors.defaults]]

# ## Ensures a set of fields always exists on your metric(s) with their

# ## respective default value.

# ## For any given field pair (key = default), if it's not set, a field

# ## is set on the metric with the specified default.

# ##

# ## A field is considered not set if it is nil on the incoming metric;

# ## or it is not nil but its value is an empty string or is a string

# ## of one or more spaces.

# ## <target-field> = <value>

# # [processors.defaults.fields]

# # field_1 = "bar"

# # time_idle = 0

# # is_error = true

# # Map enum values according to given table.

# [[processors.enum]]

# [[processors.enum.mapping]]

# ## Name of the field to map

# field = "status"

#

# ## Name of the tag to map

# # tag = "status"

#

# ## Destination tag or field to be used for the mapped value. By default the

# ## source tag or field is used, overwriting the original value.

# dest = "status_code"

#

# ## Default value to be used for all values not contained in the mapping

# ## table. When unset, the unmodified value for the field will be used if no

# ## match is found.

# # default = 0

#

# ## Table of mappings

# [processors.enum.mapping.value_mappings]

# green = 1

# amber = 2

# red = 3

# # Run executable as long-running processor plugin

# [[processors.execd]]

# ## Program to run as daemon

# ## eg: command = ["/path/to/your_program", "arg1", "arg2"]

# command = ["cat"]

#

# ## Delay before the process is restarted after an unexpected termination

# restart_delay = "10s"

# # Performs file path manipulations on tags and fields

# [[processors.filepath]]

# ## Treat the tag value as a path and convert it to its last element, storing the result in a new tag

# # [[processors.filepath.basename]]

# # tag = "path"

# # dest = "basepath"

#

# ## Treat the field value as a path and keep all but the last element of path, typically the path's directory

# # [[processors.filepath.dirname]]

# # field = "path"

#

# ## Treat the tag value as a path, converting it to its the last element without its suffix

# # [[processors.filepath.stem]]

# # tag = "path"

#

# ## Treat the tag value as a path, converting it to the shortest path name equivalent

# ## to path by purely lexical processing

# # [[processors.filepath.clean]]

# # tag = "path"

#

# ## Treat the tag value as a path, converting it to a relative path that is lexically

# ## equivalent to the source path when joined to 'base_path'

# # [[processors.filepath.rel]]

# # tag = "path"

# # base_path = "/var/log"

#

# ## Treat the tag value as a path, replacing each separator character in path with a '/' character. Has only

# ## effect on Windows

# # [[processors.filepath.toslash]]

# # tag = "path"

# # Add a tag of the network interface name looked up over SNMP by interface number

# [[processors.ifname]]

# ## Name of tag holding the interface number

# # tag = "ifIndex"

#

# ## Name of output tag where service name will be added

# # dest = "ifName"

#

# ## Name of tag of the SNMP agent to request the interface name from

# # agent = "agent"

#

# ## Timeout for each request.

# # timeout = "5s"

#

# ## SNMP version; can be 1, 2, or 3.

# # version = 2

#

# ## SNMP community string.

# # community = "public"

#

# ## Number of retries to attempt.

# # retries = 3

#

# ## The GETBULK max-repetitions parameter.

# # max_repetitions = 10

#

# ## SNMPv3 authentication and encryption options.

# ##

# ## Security Name.

# # sec_name = "myuser"

# ## Authentication protocol; one of "MD5", "SHA", or "".

# # auth_protocol = "MD5"

# ## Authentication password.

# # auth_password = "pass"

# ## Security Level; one of "noAuthNoPriv", "authNoPriv", or "authPriv".

# # sec_level = "authNoPriv"

# ## Context Name.

# # context_name = ""

# ## Privacy protocol used for encrypted messages; one of "DES", "AES" or "".

# # priv_protocol = ""

# ## Privacy password used for encrypted messages.

# # priv_password = ""

#

# ## max_parallel_lookups is the maximum number of SNMP requests to

# ## make at the same time.

# # max_parallel_lookups = 100

#

# ## ordered controls whether or not the metrics need to stay in the

# ## same order this plugin received them in. If false, this plugin

# ## may change the order when data is cached. If you need metrics to

# ## stay in order set this to true. keeping the metrics ordered may

# ## be slightly slower

# # ordered = false

#

# ## cache_ttl is the amount of time interface names are cached for a

# ## given agent. After this period elapses if names are needed they

# ## will be retrieved again.

# # cache_ttl = "8h"

# # Apply metric modifications using override semantics.

# [[processors.override]]

# ## All modifications on inputs and aggregators can be overridden:

# # name_override = "new_name"

# # name_prefix = "new_name_prefix"

# # name_suffix = "new_name_suffix"

#

# ## Tags to be added (all values must be strings)

# # [processors.override.tags]

# # additional_tag = "tag_value"

# # Parse a value in a specified field/tag(s) and add the result in a new metric

# [[processors.parser]]

# ## The name of the fields whose value will be parsed.

# parse_fields = []

#

# ## If true, incoming metrics are not emitted.

# drop_original = false

#

# ## If set to override, emitted metrics will be merged by overriding the

# ## original metric using the newly parsed metrics.

# merge = "override"

#

# ## The dataformat to be read from files

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# data_format = "influx"

# # Rotate a single valued metric into a multi field metric

# [[processors.pivot]]

# ## Tag to use for naming the new field.

# tag_key = "name"

# ## Field to use as the value of the new field.

# value_key = "value"

# # Given a tag/field of a TCP or UDP port number, add a tag/field of the service name looked up in the system services file

# [[processors.port_name]]

# [[processors.port_name]]

# ## Name of tag holding the port number

# # tag = "port"

# ## Or name of the field holding the port number

# # field = "port"

#

# ## Name of output tag or field (depending on the source) where service name will be added

# # dest = "service"

#

# ## Default tcp or udp

# # default_protocol = "tcp"

#

# ## Tag containing the protocol (tcp or udp, case-insensitive)

# # protocol_tag = "proto"

#

# ## Field containing the protocol (tcp or udp, case-insensitive)

# # protocol_field = "proto"

# # Print all metrics that pass through this filter.

# [[processors.printer]]

# # Transforms tag and field values with regex pattern

# [[processors.regex]]

# ## Tag and field conversions defined in a separate sub-tables

# # [[processors.regex.tags]]

# # ## Tag to change

# # key = "resp_code"

# # ## Regular expression to match on a tag value

# # pattern = "^(\\d)\\d\\d$"

# # ## Matches of the pattern will be replaced with this string. Use ${1}

# # ## notation to use the text of the first submatch.

# # replacement = "${1}xx"

#

# # [[processors.regex.fields]]

# # ## Field to change

# # key = "request"

# # ## All the power of the Go regular expressions available here

# # ## For example, named subgroups

# # pattern = "^/api(?P<method>/[\\w/]+)\\S*"

# # replacement = "${method}"

# # ## If result_key is present, a new field will be created

# # ## instead of changing existing field

# # result_key = "method"

#

# ## Multiple conversions may be applied for one field sequentially

# ## Let's extract one more value

# # [[processors.regex.fields]]

# # key = "request"

# # pattern = ".*category=(\\w+).*"

# # replacement = "${1}"

# # result_key = "search_category"

# # Rename measurements, tags, and fields that pass through this filter.

# [[processors.rename]]

# # ReverseDNS does a reverse lookup on IP addresses to retrieve the DNS name

# [[processors.reverse_dns]]

# ## For optimal performance, you may want to limit which metrics are passed to this

# ## processor. eg:

# ## namepass = ["my_metric_*"]

#

# ## cache_ttl is how long the dns entries should stay cached for.

# ## generally longer is better, but if you expect a large number of diverse lookups

# ## you'll want to consider memory use.

# cache_ttl = "24h"

#

# ## lookup_timeout is how long should you wait for a single dns request to repsond.

# ## this is also the maximum acceptable latency for a metric travelling through

# ## the reverse_dns processor. After lookup_timeout is exceeded, a metric will

# ## be passed on unaltered.

# ## multiple simultaneous resolution requests for the same IP will only make a

# ## single rDNS request, and they will all wait for the answer for this long.

# lookup_timeout = "3s"

#

# ## max_parallel_lookups is the maximum number of dns requests to be in flight

# ## at the same time. Requesting hitting cached values do not count against this

# ## total, and neither do mulptiple requests for the same IP.

# ## It's probably best to keep this number fairly low.

# max_parallel_lookups = 10

#

# ## ordered controls whether or not the metrics need to stay in the same order

# ## this plugin received them in. If false, this plugin will change the order

# ## with requests hitting cached results moving through immediately and not

# ## waiting on slower lookups. This may cause issues for you if you are

# ## depending on the order of metrics staying the same. If so, set this to true.

# ## keeping the metrics ordered may be slightly slower.

# ordered = false

#

# [[processors.reverse_dns.lookup]]

# ## get the ip from the field "source_ip", and put the result in the field "source_name"

# field = "source_ip"

# dest = "source_name"

#

# [[processors.reverse_dns.lookup]]

# ## get the ip from the tag "destination_ip", and put the result in the tag

# ## "destination_name".

# tag = "destination_ip"

# dest = "destination_name"

#

# ## If you would prefer destination_name to be a field instead, you can use a

# ## processors.converter after this one, specifying the order attribute.

# # Add the S2 Cell ID as a tag based on latitude and longitude fields

# [[processors.s2geo]]

# ## The name of the lat and lon fields containing WGS-84 latitude and

# ## longitude in decimal degrees.

# # lat_field = "lat"

# # lon_field = "lon"

#

# ## New tag to create

# # tag_key = "s2_cell_id"

#

# ## Cell level (see https://s2geometry.io/resources/s2cell_statistics.html)

# # cell_level = 9

# # Process metrics using a Starlark script

# [[processors.starlark]]

# ## The Starlark source can be set as a string in this configuration file, or

# ## by referencing a file containing the script. Only one source or script

# ## should be set at once.

# ##

# ## Source of the Starlark script.

# source = '''

# def apply(metric):

# return metric

# '''

#

# ## File containing a Starlark script.

# # script = "/usr/local/bin/myscript.star"

# # Perform string processing on tags, fields, and measurements

# [[processors.strings]]

# ## Convert a tag value to uppercase

# # [[processors.strings.uppercase]]

# # tag = "method"

#

# ## Convert a field value to lowercase and store in a new field

# # [[processors.strings.lowercase]]

# # field = "uri_stem"

# # dest = "uri_stem_normalised"

#

# ## Convert a field value to titlecase

# # [[processors.strings.titlecase]]

# # field = "status"

#

# ## Trim leading and trailing whitespace using the default cutset

# # [[processors.strings.trim]]

# # field = "message"

#

# ## Trim leading characters in cutset

# # [[processors.strings.trim_left]]

# # field = "message"

# # cutset = "\t"

#

# ## Trim trailing characters in cutset

# # [[processors.strings.trim_right]]

# # field = "message"

# # cutset = "\r\n"

#

# ## Trim the given prefix from the field

# # [[processors.strings.trim_prefix]]

# # field = "my_value"

# # prefix = "my_"

#

# ## Trim the given suffix from the field

# # [[processors.strings.trim_suffix]]

# # field = "read_count"

# # suffix = "_count"

#

# ## Replace all non-overlapping instances of old with new

# # [[processors.strings.replace]]

# # measurement = "*"

# # old = ":"

# # new = "_"

#

# ## Trims strings based on width

# # [[processors.strings.left]]

# # field = "message"

# # width = 10

#

# ## Decode a base64 encoded utf-8 string

# # [[processors.strings.base64decode]]

# # field = "message"

# # Restricts the number of tags that can pass through this filter and chooses which tags to preserve when over the limit.

# [[processors.tag_limit]]

# ## Maximum number of tags to preserve

# limit = 10

#

# ## List of tags to preferentially preserve

# keep = ["foo", "bar", "baz"]

# # Uses a Go template to create a new tag

# [[processors.template]]

# ## Tag to set with the output of the template.

# tag = "topic"

#

# ## Go template used to create the tag value. In order to ease TOML

# ## escaping requirements, you may wish to use single quotes around the

# ## template string.

# template = '{{ .Tag "hostname" }}.{{ .Tag "level" }}'

# # Print all metrics that pass through this filter.

# [[processors.topk]]

# ## How many seconds between aggregations

# # period = 10

#

# ## How many top metrics to return

# # k = 10

#

# ## Over which tags should the aggregation be done. Globs can be specified, in

# ## which case any tag matching the glob will aggregated over. If set to an

# ## empty list is no aggregation over tags is done

# # group_by = ['*']

#

# ## Over which fields are the top k are calculated

# # fields = ["value"]

#

# ## What aggregation to use. Options: sum, mean, min, max

# # aggregation = "mean"

#

# ## Instead of the top k largest metrics, return the bottom k lowest metrics

# # bottomk = false

#

# ## The plugin assigns each metric a GroupBy tag generated from its name and

# ## tags. If this setting is different than "" the plugin will add a

# ## tag (which name will be the value of this setting) to each metric with

# ## the value of the calculated GroupBy tag. Useful for debugging

# # add_groupby_tag = ""

#

# ## These settings provide a way to know the position of each metric in

# ## the top k. The 'add_rank_field' setting allows to specify for which

# ## fields the position is required. If the list is non empty, then a field

# ## will be added to each and every metric for each string present in this

# ## setting. This field will contain the ranking of the group that

# ## the metric belonged to when aggregated over that field.

# ## The name of the field will be set to the name of the aggregation field,

# ## suffixed with the string '_topk_rank'

# # add_rank_fields = []

#

# ## These settings provide a way to know what values the plugin is generating

# ## when aggregating metrics. The 'add_aggregate_field' setting allows to

# ## specify for which fields the final aggregation value is required. If the

# ## list is non empty, then a field will be added to each every metric for

# ## each field present in this setting. This field will contain

# ## the computed aggregation for the group that the metric belonged to when

# ## aggregated over that field.

# ## The name of the field will be set to the name of the aggregation field,

# ## suffixed with the string '_topk_aggregate'

# # add_aggregate_fields = []

# # Rotate multi field metric into several single field metrics

# [[processors.unpivot]]

# ## Tag to use for the name.

# tag_key = "name"

# ## Field to use for the name of the value.

# value_key = "value"

###############################################################################

# AGGREGATOR PLUGINS #

###############################################################################

# # Keep the aggregate basicstats of each metric passing through.

# [[aggregators.basicstats]]

# ## The period on which to flush & clear the aggregator.

# period = "30s"

#

# ## If true, the original metric will be dropped by the

# ## aggregator and will not get sent to the output plugins.

# drop_original = false

#

# ## Configures which basic stats to push as fields

# # stats = ["count", "min", "max", "mean", "stdev", "s2", "sum"]

# # Report the final metric of a series

# [[aggregators.final]]

# ## The period on which to flush & clear the aggregator.

# period = "30s"

# ## If true, the original metric will be dropped by the

# ## aggregator and will not get sent to the output plugins.

# drop_original = false

#

# ## The time that a series is not updated until considering it final.

# series_timeout = "5m"

# # Create aggregate histograms.

# [[aggregators.histogram]]

# ## The period in which to flush the aggregator.

# period = "30s"

#

# ## If true, the original metric will be dropped by the

# ## aggregator and will not get sent to the output plugins.

# drop_original = false

#

# ## If true, the histogram will be reset on flush instead

# ## of accumulating the results.

# reset = false

#

# ## Whether bucket values should be accumulated. If set to false, "gt" tag will be added.

# ## Defaults to true.

# cumulative = true

#

# ## Example config that aggregates all fields of the metric.

# # [[aggregators.histogram.config]]

# # ## Right borders of buckets (with +Inf implicitly added).

# # buckets = [0.0, 15.6, 34.5, 49.1, 71.5, 80.5, 94.5, 100.0]

# # ## The name of metric.

# # measurement_name = "cpu"

#

# ## Example config that aggregates only specific fields of the metric.

# # [[aggregators.histogram.config]]

# # ## Right borders of buckets (with +Inf implicitly added).

# # buckets = [0.0, 10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0]

# # ## The name of metric.

# # measurement_name = "diskio"

# # ## The concrete fields of metric

# # fields = ["io_time", "read_time", "write_time"]

# # Merge metrics into multifield metrics by series key

# [[aggregators.merge]]

# ## If true, the original metric will be dropped by the

# ## aggregator and will not get sent to the output plugins.

# drop_original = true

# # Keep the aggregate min/max of each metric passing through.

# [[aggregators.minmax]]

# ## General Aggregator Arguments:

# ## The period on which to flush & clear the aggregator.

# period = "30s"

# ## If true, the original metric will be dropped by the

# ## aggregator and will not get sent to the output plugins.

# drop_original = false

# # Count the occurrence of values in fields.

# [[aggregators.valuecounter]]

# ## General Aggregator Arguments:

# ## The period on which to flush & clear the aggregator.

# period = "30s"

# ## If true, the original metric will be dropped by the

# ## aggregator and will not get sent to the output plugins.

# drop_original = false

# ## The fields for which the values will be counted

# fields = []

###############################################################################

# INPUT PLUGINS #

###############################################################################

# Read metrics about cpu usage

[[inputs.cpu]]

## Whether to report per-cpu stats or not

percpu = true

## Whether to report total system cpu stats or not

totalcpu = true

## If true, collect raw CPU time metrics.

collect_cpu_time = false

## If true, compute and report the sum of all non-idle CPU states.

report_active = false

# Read metrics about disk usage by mount point

[[inputs.disk]]

## By default stats will be gathered for all mount points.

## Set mount_points will restrict the stats to only the specified mount points.

# mount_points = ["/"]

## Ignore mount points by filesystem type.

ignore_fs = ["tmpfs", "devtmpfs", "devfs", "iso9660", "overlay", "aufs", "squashfs"]

# Read metrics about disk IO by device

[[inputs.diskio]]

## By default, telegraf will gather stats for all devices including

## disk partitions.

## Setting devices will restrict the stats to the specified devices.

# devices = ["sda", "sdb", "vd*"]

## Uncomment the following line if you need disk serial numbers.

# skip_serial_number = false

#

## On systems which support it, device metadata can be added in the form of

## tags.

## Currently only Linux is supported via udev properties. You can view

## available properties for a device by running:

## 'udevadm info -q property -n /dev/sda'

## Note: Most, but not all, udev properties can be accessed this way. Properties

## that are currently inaccessible include DEVTYPE, DEVNAME, and DEVPATH.

# device_tags = ["ID_FS_TYPE", "ID_FS_USAGE"]

#

## Using the same metadata source as device_tags, you can also customize the

## name of the device via templates.

## The 'name_templates' parameter is a list of templates to try and apply to

## the device. The template may contain variables in the form of '$PROPERTY' or

## '${PROPERTY}'. The first template which does not contain any variables not

## present for the device is used as the device name tag.

## The typical use case is for LVM volumes, to get the VG/LV name instead of

## the near-meaningless DM-0 name.

# name_templates = ["$ID_FS_LABEL","$DM_VG_NAME/$DM_LV_NAME"]

# Get kernel statistics from /proc/stat

[[inputs.kernel]]

# no configuration

# Read metrics about memory usage

[[inputs.mem]]

# no configuration

# Get the number of processes and group them by status

[[inputs.processes]]

# no configuration

# Read metrics about swap memory usage

[[inputs.swap]]

# no configuration

# Read metrics about system load & uptime

[[inputs.system]]

## Uncomment to remove deprecated metrics.

# fielddrop = ["uptime_format"]

# # Gather ActiveMQ metrics

# [[inputs.activemq]]

# ## ActiveMQ WebConsole URL

# url = "http://127.0.0.1:8161"

#

# ## Required ActiveMQ Endpoint

# ## deprecated in 1.11; use the url option

# # server = "127.0.0.1"

# # port = 8161

#

# ## Credentials for basic HTTP authentication

# # username = "admin"

# # password = "admin"

#

# ## Required ActiveMQ webadmin root path

# # webadmin = "admin"

#

# ## Maximum time to receive response.

# # response_timeout = "5s"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Read stats from aerospike server(s)

# [[inputs.aerospike]]

# ## Aerospike servers to connect to (with port)

# ## This plugin will query all namespaces the aerospike

# ## server has configured and get stats for them.

# servers = ["localhost:3000"]

#

# # username = "telegraf"

# # password = "pa$$word"

#

# ## Optional TLS Config

# # enable_tls = false

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## If false, skip chain & host verification

# # insecure_skip_verify = true

#

# # Feature Options

# # Add namespace variable to limit the namespaces executed on

# # Leave blank to do all

# # disable_query_namespaces = true # default false

# # namespaces = ["namespace1", "namespace2"]

#

# # Enable set level telmetry

# # query_sets = true # default: false

# # Add namespace set combinations to limit sets executed on

# # Leave blank to do all sets

# # sets = ["namespace1/set1", "namespace1/set2", "namespace3"]

#

# # Histograms

# # enable_ttl_histogram = true # default: false

# # enable_object_size_linear_histogram = true # default: false

#

# # by default, aerospike produces a 100 bucket histogram

# # this is not great for most graphing tools, this will allow

# # the ability to squash this to a smaller number of buckets

# # num_histogram_buckets = 100 # default: 10

# # Read Apache status information (mod_status)

# [[inputs.apache]]

# ## An array of URLs to gather from, must be directed at the machine

# ## readable version of the mod_status page including the auto query string.

# ## Default is "http://localhost/server-status?auto".

# urls = ["http://localhost/server-status?auto"]

#

# ## Credentials for basic HTTP authentication.

# # username = "myuser"

# # password = "mypassword"

#

# ## Maximum time to receive response.

# # response_timeout = "5s"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Monitor APC UPSes connected to apcupsd

# [[inputs.apcupsd]]

# # A list of running apcupsd server to connect to.

# # If not provided will default to tcp://127.0.0.1:3551

# servers = ["tcp://127.0.0.1:3551"]

#

# ## Timeout for dialing server.

# timeout = "5s"

# # Gather metrics from Apache Aurora schedulers

# [[inputs.aurora]]

# ## Schedulers are the base addresses of your Aurora Schedulers

# schedulers = ["http://127.0.0.1:8081"]

#

# ## Set of role types to collect metrics from.

# ##

# ## The scheduler roles are checked each interval by contacting the

# ## scheduler nodes; zookeeper is not contacted.

# # roles = ["leader", "follower"]

#

# ## Timeout is the max time for total network operations.

# # timeout = "5s"

#

# ## Username and password are sent using HTTP Basic Auth.

# # username = "username"

# # password = "pa$$word"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Gather Azure Storage Queue metrics

# [[inputs.azure_storage_queue]]

# ## Required Azure Storage Account name

# account_name = "mystorageaccount"

#

# ## Required Azure Storage Account access key

# account_key = "storageaccountaccesskey"

#

# ## Set to false to disable peeking age of oldest message (executes faster)

# # peek_oldest_message_age = true

# # Read metrics of bcache from stats_total and dirty_data

# [[inputs.bcache]]

# ## Bcache sets path

# ## If not specified, then default is:

# bcachePath = "/sys/fs/bcache"

#

# ## By default, telegraf gather stats for all bcache devices

# ## Setting devices will restrict the stats to the specified

# ## bcache devices.

# bcacheDevs = ["bcache0"]

# # Collects Beanstalkd server and tubes stats

# [[inputs.beanstalkd]]

# ## Server to collect data from

# server = "localhost:11300"

#

# ## List of tubes to gather stats about.

# ## If no tubes specified then data gathered for each tube on server reported by list-tubes command

# tubes = ["notifications"]

# # Read BIND nameserver XML statistics

# [[inputs.bind]]

# ## An array of BIND XML statistics URI to gather stats.

# ## Default is "http://localhost:8053/xml/v3".

# # urls = ["http://localhost:8053/xml/v3"]

# # gather_memory_contexts = false

# # gather_views = false

# # Collect bond interface status, slaves statuses and failures count

# [[inputs.bond]]

# ## Sets 'proc' directory path

# ## If not specified, then default is /proc

# # host_proc = "/proc"

#

# ## By default, telegraf gather stats for all bond interfaces

# ## Setting interfaces will restrict the stats to the specified

# ## bond interfaces.

# # bond_interfaces = ["bond0"]

# # Collect Kafka topics and consumers status from Burrow HTTP API.

# [[inputs.burrow]]

# ## Burrow API endpoints in format "schema://host:port".

# ## Default is "http://localhost:8000".

# servers = ["http://localhost:8000"]

#

# ## Override Burrow API prefix.

# ## Useful when Burrow is behind reverse-proxy.

# # api_prefix = "/v3/kafka"

#

# ## Maximum time to receive response.

# # response_timeout = "5s"

#

# ## Limit per-server concurrent connections.

# ## Useful in case of large number of topics or consumer groups.

# # concurrent_connections = 20

#

# ## Filter clusters, default is no filtering.

# ## Values can be specified as glob patterns.

# # clusters_include = []

# # clusters_exclude = []

#

# ## Filter consumer groups, default is no filtering.

# ## Values can be specified as glob patterns.

# # groups_include = []

# # groups_exclude = []

#

# ## Filter topics, default is no filtering.

# ## Values can be specified as glob patterns.

# # topics_include = []

# # topics_exclude = []

#

# ## Credentials for basic HTTP authentication.

# # username = ""

# # password = ""

#

# ## Optional SSL config

# # ssl_ca = "/etc/telegraf/ca.pem"

# # ssl_cert = "/etc/telegraf/cert.pem"

# # ssl_key = "/etc/telegraf/key.pem"

# # insecure_skip_verify = false

# # Collects performance metrics from the MON, OSD, MDS and RGW nodes in a Ceph storage cluster.

# [[inputs.ceph]]

# ## This is the recommended interval to poll. Too frequent and you will lose

# ## data points due to timeouts during rebalancing and recovery

# interval = '1m'

#

# ## All configuration values are optional, defaults are shown below

#

# ## location of ceph binary

# ceph_binary = "/usr/bin/ceph"

#

# ## directory in which to look for socket files

# socket_dir = "/var/run/ceph"

#

# ## prefix of MON and OSD socket files, used to determine socket type

# mon_prefix = "ceph-mon"

# osd_prefix = "ceph-osd"

# mds_prefix = "ceph-mds"

# rgw_prefix = "ceph-client"

#

# ## suffix used to identify socket files

# socket_suffix = "asok"

#

# ## Ceph user to authenticate as

# ceph_user = "client.admin"

#

# ## Ceph configuration to use to locate the cluster

# ceph_config = "/etc/ceph/ceph.conf"

#

# ## Whether to gather statistics via the admin socket

# gather_admin_socket_stats = true

#

# ## Whether to gather statistics via ceph commands

# gather_cluster_stats = false

# # Read specific statistics per cgroup

# [[inputs.cgroup]]

# ## Directories in which to look for files, globs are supported.

# ## Consider restricting paths to the set of cgroups you really

# ## want to monitor if you have a large number of cgroups, to avoid

# ## any cardinality issues.

# # paths = [

# # "/sys/fs/cgroup/memory",

# # "/sys/fs/cgroup/memory/child1",

# # "/sys/fs/cgroup/memory/child2/*",

# # ]

# ## cgroup stat fields, as file names, globs are supported.

# ## these file names are appended to each path from above.

# # files = ["memory.*usage*", "memory.limit_in_bytes"]

# # Get standard chrony metrics, requires chronyc executable.

# [[inputs.chrony]]

# ## If true, chronyc tries to perform a DNS lookup for the time server.

# # dns_lookup = false

# # Pull Metric Statistics from Amazon CloudWatch

# [[inputs.cloudwatch]]

# ## Amazon Region

# region = "us-east-1"

#

# ## Amazon Credentials

# ## Credentials are loaded in the following order

# ## 1) Assumed credentials via STS if role_arn is specified

# ## 2) explicit credentials from 'access_key' and 'secret_key'

# ## 3) shared profile from 'profile'

# ## 4) environment variables

# ## 5) shared credentials file

# ## 6) EC2 Instance Profile

# # access_key = ""

# # secret_key = ""

# # token = ""

# # role_arn = ""

# # profile = ""

# # shared_credential_file = ""

#

# ## Endpoint to make request against, the correct endpoint is automatically

# ## determined and this option should only be set if you wish to override the

# ## default.

# ## ex: endpoint_url = "http://localhost:8000"

# # endpoint_url = ""

#

# # The minimum period for Cloudwatch metrics is 1 minute (60s). However not all

# # metrics are made available to the 1 minute period. Some are collected at

# # 3 minute, 5 minute, or larger intervals. See https://aws.amazon.com/cloudwatch/faqs/#monitoring.

# # Note that if a period is configured that is smaller than the minimum for a

# # particular metric, that metric will not be returned by the Cloudwatch API

# # and will not be collected by Telegraf.

# #

# ## Requested CloudWatch aggregation Period (required - must be a multiple of 60s)

# period = "5m"

#

# ## Collection Delay (required - must account for metrics availability via CloudWatch API)

# delay = "5m"

#

# ## Recommended: use metric 'interval' that is a multiple of 'period' to avoid

# ## gaps or overlap in pulled data

# interval = "5m"

#

# ## Recommended if "delay" and "period" are both within 3 hours of request time. Invalid values will be ignored.

# ## Recently Active feature will only poll for CloudWatch ListMetrics values that occurred within the last 3 Hours.

# ## If enabled, it will reduce total API usage of the CloudWatch ListMetrics API and require less memory to retain.

# ## Do not enable if "period" or "delay" is longer than 3 hours, as it will not return data more than 3 hours old.

# ## See https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_ListMetrics.html

# #recently_active = "PT3H"

#

# ## Configure the TTL for the internal cache of metrics.

# # cache_ttl = "1h"

#

# ## Metric Statistic Namespace (required)

# namespace = "AWS/ELB"

#

# ## Maximum requests per second. Note that the global default AWS rate limit is

# ## 50 reqs/sec, so if you define multiple namespaces, these should add up to a

# ## maximum of 50.

# ## See http://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_limits.html

# # ratelimit = 25

#

# ## Timeout for http requests made by the cloudwatch client.

# # timeout = "5s"

#

# ## Namespace-wide statistic filters. These allow fewer queries to be made to

# ## cloudwatch.

# # statistic_include = [ "average", "sum", "minimum", "maximum", sample_count" ]

# # statistic_exclude = []

#

# ## Metrics to Pull

# ## Defaults to all Metrics in Namespace if nothing is provided

# ## Refreshes Namespace available metrics every 1h

# #[[inputs.cloudwatch.metrics]]

# # names = ["Latency", "RequestCount"]

# #

# # ## Statistic filters for Metric. These allow for retrieving specific

# # ## statistics for an individual metric.

# # # statistic_include = [ "average", "sum", "minimum", "maximum", sample_count" ]

# # # statistic_exclude = []

# #

# # ## Dimension filters for Metric. All dimensions defined for the metric names

# # ## must be specified in order to retrieve the metric statistics.

# # [[inputs.cloudwatch.metrics.dimensions]]

# # name = "LoadBalancerName"

# # value = "p-example"

# # Collects conntrack stats from the configured directories and files.

# [[inputs.conntrack]]

# ## The following defaults would work with multiple versions of conntrack.

# ## Note the nf_ and ip_ filename prefixes are mutually exclusive across

# ## kernel versions, as are the directory locations.

#

# ## Superset of filenames to look for within the conntrack dirs.

# ## Missing files will be ignored.

# files = ["ip_conntrack_count","ip_conntrack_max",

# "nf_conntrack_count","nf_conntrack_max"]

#

# ## Directories to search within for the conntrack files above.

# ## Missing directories will be ignored.

# dirs = ["/proc/sys/net/ipv4/netfilter","/proc/sys/net/netfilter"]

# # Gather health check statuses from services registered in Consul

# [[inputs.consul]]

# ## Consul server address

# # address = "localhost:8500"

#

# ## URI scheme for the Consul server, one of "http", "https"

# # scheme = "http"

#

# ## Metric version controls the mapping from Consul metrics into

# ## Telegraf metrics.

# ##

# ## example: metric_version = 1; deprecated in 1.15

# ## metric_version = 2; recommended version

# # metric_version = 1

#

# ## ACL token used in every request

# # token = ""

#

# ## HTTP Basic Authentication username and password.

# # username = ""

# # password = ""

#

# ## Data center to query the health checks from

# # datacenter = ""

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = true

#

# ## Consul checks' tag splitting

# # When tags are formatted like "key:value" with ":" as a delimiter then

# # they will be splitted and reported as proper key:value in Telegraf

# # tag_delimiter = ":"

# # Read metrics from one or many couchbase clusters

# [[inputs.couchbase]]

# ## specify servers via a url matching:

# ## [protocol://][:password]@address[:port]

# ## e.g.

# ## http://couchbase-0.example.com/

# ## http://admin:[email protected]:8091/

# ##

# ## If no servers are specified, then localhost is used as the host.

# ## If no protocol is specified, HTTP is used.

# ## If no port is specified, 8091 is used.

# servers = ["http://localhost:8091"]

# # Read CouchDB Stats from one or more servers

# [[inputs.couchdb]]

# ## Works with CouchDB stats endpoints out of the box

# ## Multiple Hosts from which to read CouchDB stats:

# hosts = ["http://localhost:8086/_stats"]

#

# ## Use HTTP Basic Authentication.

# # basic_username = "telegraf"

# # basic_password = "p@ssw0rd"

# # Input plugin for DC/OS metrics

# [[inputs.dcos]]

# ## The DC/OS cluster URL.

# cluster_url = "https://dcos-ee-master-1"

#

# ## The ID of the service account.

# service_account_id = "telegraf"

# ## The private key file for the service account.

# service_account_private_key = "/etc/telegraf/telegraf-sa-key.pem"

#

# ## Path containing login token. If set, will read on every gather.

# # token_file = "/home/dcos/.dcos/token"

#

# ## In all filter options if both include and exclude are empty all items

# ## will be collected. Arrays may contain glob patterns.

# ##

# ## Node IDs to collect metrics from. If a node is excluded, no metrics will

# ## be collected for its containers or apps.

# # node_include = []

# # node_exclude = []

# ## Container IDs to collect container metrics from.

# # container_include = []

# # container_exclude = []

# ## Container IDs to collect app metrics from.

# # app_include = []

# # app_exclude = []

#

# ## Maximum concurrent connections to the cluster.

# # max_connections = 10

# ## Maximum time to receive a response from cluster.

# # response_timeout = "20s"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## If false, skip chain & host verification

# # insecure_skip_verify = true

#

# ## Recommended filtering to reduce series cardinality.

# # [inputs.dcos.tagdrop]

# # path = ["/var/lib/mesos/slave/slaves/*"]

# # Read metrics from one or many disque servers

# [[inputs.disque]]

# ## An array of URI to gather stats about. Specify an ip or hostname

# ## with optional port and password.

# ## ie disque://localhost, disque://10.10.3.33:18832, 10.0.0.1:10000, etc.

# ## If no servers are specified, then localhost is used as the host.

# servers = ["localhost"]

# # Provide a native collection for dmsetup based statistics for dm-cache

# [[inputs.dmcache]]

# ## Whether to report per-device stats or not

# per_device = true

# # Query given DNS server and gives statistics

# [[inputs.dns_query]]

# ## servers to query

# servers = ["8.8.8.8"]

#

# ## Network is the network protocol name.

# # network = "udp"

#

# ## Domains or subdomains to query.

# # domains = ["."]

#

# ## Query record type.

# ## Possible values: A, AAAA, CNAME, MX, NS, PTR, TXT, SOA, SPF, SRV.

# # record_type = "A"

#

# ## Dns server port.

# # port = 53

#

# ## Query timeout in seconds.

# # timeout = 2

# # Read metrics about docker containers

# [[inputs.docker]]

# ## Docker Endpoint

# ## To use TCP, set endpoint = "tcp://[ip]:[port]"

# ## To use environment variables (ie, docker-machine), set endpoint = "ENV"

# endpoint = "unix:///var/run/docker.sock"

#

# ## Set to true to collect Swarm metrics(desired_replicas, running_replicas)

# gather_services = false

#

# ## Only collect metrics for these containers, collect all if empty

# container_names = []

#

# ## Set the source tag for the metrics to the container ID hostname, eg first 12 chars

# source_tag = false

#

# ## Containers to include and exclude. Globs accepted.

# ## Note that an empty array for both will include all containers

# container_name_include = []

# container_name_exclude = []

#

# ## Container states to include and exclude. Globs accepted.

# ## When empty only containers in the "running" state will be captured.

# ## example: container_state_include = ["created", "restarting", "running", "removing", "paused", "exited", "dead"]

# ## example: container_state_exclude = ["created", "restarting", "running", "removing", "paused", "exited", "dead"]

# # container_state_include = []

# # container_state_exclude = []

#

# ## Timeout for docker list, info, and stats commands

# timeout = "5s"

#

# ## Whether to report for each container per-device blkio (8:0, 8:1...) and

# ## network (eth0, eth1, ...) stats or not

# perdevice = true

#

# ## Whether to report for each container total blkio and network stats or not

# total = false

#

# ## Which environment variables should we use as a tag

# ##tag_env = ["JAVA_HOME", "HEAP_SIZE"]

#

# ## docker labels to include and exclude as tags. Globs accepted.

# ## Note that an empty array for both will include all labels as tags

# docker_label_include = []

# docker_label_exclude = []

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Read statistics from one or many dovecot servers

# [[inputs.dovecot]]

# ## specify dovecot servers via an address:port list

# ## e.g.

# ## localhost:24242

# ##

# ## If no servers are specified, then localhost is used as the host.

# servers = ["localhost:24242"]

#

# ## Type is one of "user", "domain", "ip", or "global"

# type = "global"

#

# ## Wildcard matches like "*.com". An empty string "" is same as "*"

# ## If type = "ip" filters should be <IP/network>

# filters = [""]

# # Read metrics about docker containers from Fargate/ECS v2, v3 meta endpoints.

# [[inputs.ecs]]

# ## ECS metadata url.

# ## Metadata v2 API is used if set explicitly. Otherwise,

# ## v3 metadata endpoint API is used if available.

# # endpoint_url = ""

#

# ## Containers to include and exclude. Globs accepted.

# ## Note that an empty array for both will include all containers

# # container_name_include = []

# # container_name_exclude = []

#

# ## Container states to include and exclude. Globs accepted.

# ## When empty only containers in the "RUNNING" state will be captured.

# ## Possible values are "NONE", "PULLED", "CREATED", "RUNNING",

# ## "RESOURCES_PROVISIONED", "STOPPED".

# # container_status_include = []

# # container_status_exclude = []

#

# ## ecs labels to include and exclude as tags. Globs accepted.

# ## Note that an empty array for both will include all labels as tags

# ecs_label_include = [ "com.amazonaws.ecs.*" ]

# ecs_label_exclude = []

#

# ## Timeout for queries.

# # timeout = "5s"

# # Read stats from one or more Elasticsearch servers or clusters

# [[inputs.elasticsearch]]

# ## specify a list of one or more Elasticsearch servers

# # you can add username and password to your url to use basic authentication:

# # servers = ["http://user:pass@localhost:9200"]

# servers = ["http://localhost:9200"]

#

# ## Timeout for HTTP requests to the elastic search server(s)

# http_timeout = "5s"

#

# ## When local is true (the default), the node will read only its own stats.

# ## Set local to false when you want to read the node stats from all nodes

# ## of the cluster.

# local = true

#

# ## Set cluster_health to true when you want to also obtain cluster health stats

# cluster_health = false

#

# ## Adjust cluster_health_level when you want to also obtain detailed health stats

# ## The options are

# ## - indices (default)

# ## - cluster

# # cluster_health_level = "indices"

#

# ## Set cluster_stats to true when you want to also obtain cluster stats.

# cluster_stats = false

#

# ## Only gather cluster_stats from the master node. To work this require local = true

# cluster_stats_only_from_master = true

#

# ## Indices to collect; can be one or more indices names or _all

# indices_include = ["_all"]

#

# ## One of "shards", "cluster", "indices"

# indices_level = "shards"

#

# ## node_stats is a list of sub-stats that you want to have gathered. Valid options

# ## are "indices", "os", "process", "jvm", "thread_pool", "fs", "transport", "http",

# ## "breaker". Per default, all stats are gathered.

# # node_stats = ["jvm", "http"]

#

# ## HTTP Basic Authentication username and password.

# # username = ""

# # password = ""

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Returns ethtool statistics for given interfaces

# [[inputs.ethtool]]

# ## List of interfaces to pull metrics for

# # interface_include = ["eth0"]

#

# ## List of interfaces to ignore when pulling metrics.

# # interface_exclude = ["eth1"]

# # Read metrics from one or more commands that can output to stdout

# [[inputs.exec]]

# ## Commands array

# commands = [

# "/tmp/test.sh",

# "/usr/bin/mycollector --foo=bar",

# "/tmp/collect_*.sh"

# ]

#

# ## Timeout for each command to complete.

# timeout = "5s"

#

# ## measurement name suffix (for separating different commands)

# name_suffix = "_mycollector"

#

# ## Data format to consume.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# data_format = "influx"

# # Read metrics from fail2ban.

# [[inputs.fail2ban]]

# ## Use sudo to run fail2ban-client

# use_sudo = false

# # Read devices value(s) from a Fibaro controller

# [[inputs.fibaro]]

# ## Required Fibaro controller address/hostname.

# ## Note: at the time of writing this plugin, Fibaro only implemented http - no https available

# url = "http://<controller>:80"

#

# ## Required credentials to access the API (http://<controller/api/<component>)

# username = "<username>"

# password = "<password>"

#

# ## Amount of time allowed to complete the HTTP request

# # timeout = "5s"

# # Parse a complete file each interval

# [[inputs.file]]

# ## Files to parse each interval. Accept standard unix glob matching rules,

# ## as well as ** to match recursive files and directories.

# files = ["/tmp/metrics.out"]

#

# ## Name a tag containing the name of the file the data was parsed from. Leave empty

# ## to disable.

# # file_tag = ""

#

# ## Character encoding to use when interpreting the file contents. Invalid

# ## characters are replaced using the unicode replacement character. When set

# ## to the empty string the data is not decoded to text.

# ## ex: character_encoding = "utf-8"

# ## character_encoding = "utf-16le"

# ## character_encoding = "utf-16be"

# ## character_encoding = ""

# # character_encoding = ""

#

# ## The dataformat to be read from files

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# data_format = "influx"

# # Count files in a directory

# [[inputs.filecount]]

# ## Directory to gather stats about.

# ## deprecated in 1.9; use the directories option

# # directory = "/var/cache/apt/archives"

#

# ## Directories to gather stats about.

# ## This accept standard unit glob matching rules, but with the addition of

# ## ** as a "super asterisk". ie:

# ## /var/log/** -> recursively find all directories in /var/log and count files in each directories

# ## /var/log/*/* -> find all directories with a parent dir in /var/log and count files in each directories

# ## /var/log -> count all files in /var/log and all of its subdirectories

# directories = ["/var/cache/apt/archives"]

#

# ## Only count files that match the name pattern. Defaults to "*".

# name = "*.deb"

#

# ## Count files in subdirectories. Defaults to true.

# recursive = false

#

# ## Only count regular files. Defaults to true.

# regular_only = true

#

# ## Follow all symlinks while walking the directory tree. Defaults to false.

# follow_symlinks = false

#

# ## Only count files that are at least this size. If size is

# ## a negative number, only count files that are smaller than the

# ## absolute value of size. Acceptable units are B, KiB, MiB, KB, ...

# ## Without quotes and units, interpreted as size in bytes.

# size = "0B"

#

# ## Only count files that have not been touched for at least this

# ## duration. If mtime is negative, only count files that have been

# ## touched in this duration. Defaults to "0s".

# mtime = "0s"

# # Read stats about given file(s)

# [[inputs.filestat]]

# ## Files to gather stats about.

# ## These accept standard unix glob matching rules, but with the addition of

# ## ** as a "super asterisk". ie:

# ## "/var/log/**.log" -> recursively find all .log files in /var/log

# ## "/var/log/*/*.log" -> find all .log files with a parent dir in /var/log

# ## "/var/log/apache.log" -> just tail the apache log file

# ##

# ## See https://github.com/gobwas/glob for more examples

# ##

# files = ["/var/log/**.log"]

#

# ## If true, read the entire file and calculate an md5 checksum.

# md5 = false

# # Read real time temps from fireboard.io servers

# [[inputs.fireboard]]

# ## Specify auth token for your account

# auth_token = "invalidAuthToken"

# ## You can override the fireboard server URL if necessary

# # url = https://fireboard.io/api/v1/devices.json

# ## You can set a different http_timeout if you need to

# ## You should set a string using an number and time indicator

# ## for example "12s" for 12 seconds.

# # http_timeout = "4s"

# # Read metrics exposed by fluentd in_monitor plugin

# [[inputs.fluentd]]

# ## This plugin reads information exposed by fluentd (using /api/plugins.json endpoint).

# ##

# ## Endpoint:

# ## - only one URI is allowed

# ## - https is not supported

# endpoint = "http://localhost:24220/api/plugins.json"

#

# ## Define which plugins have to be excluded (based on "type" field - e.g. monitor_agent)

# exclude = [

# "monitor_agent",

# "dummy",

# ]

# # Gather repository information from GitHub hosted repositories.

# [[inputs.github]]

# ## List of repositories to monitor.

# repositories = [

# "influxdata/telegraf",

# "influxdata/influxdb"

# ]

#

# ## Github API access token. Unauthenticated requests are limited to 60 per hour.

# # access_token = ""

#

# ## Github API enterprise url. Github Enterprise accounts must specify their base url.

# # enterprise_base_url = ""

#

# ## Timeout for HTTP requests.

# # http_timeout = "5s"

# # Read flattened metrics from one or more GrayLog HTTP endpoints

# [[inputs.graylog]]

# ## API endpoint, currently supported API:

# ##

# ## - multiple (Ex http://<host>:12900/system/metrics/multiple)

# ## - namespace (Ex http://<host>:12900/system/metrics/namespace/{namespace})

# ##

# ## For namespace endpoint, the metrics array will be ignored for that call.

# ## Endpoint can contain namespace and multiple type calls.

# ##

# ## Please check http://[graylog-server-ip]:12900/api-browser for full list

# ## of endpoints

# servers = [

# "http://[graylog-server-ip]:12900/system/metrics/multiple",

# ]

#

# ## Metrics list

# ## List of metrics can be found on Graylog webservice documentation.

# ## Or by hitting the the web service api at:

# ## http://[graylog-host]:12900/system/metrics

# metrics = [

# "jvm.cl.loaded",

# "jvm.memory.pools.Metaspace.committed"

# ]

#

# ## Username and password

# username = ""

# password = ""

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Read metrics of haproxy, via socket or csv stats page

# [[inputs.haproxy]]

# ## An array of address to gather stats about. Specify an ip on hostname

# ## with optional port. ie localhost, 10.10.3.33:1936, etc.

# ## Make sure you specify the complete path to the stats endpoint

# ## including the protocol, ie http://10.10.3.33:1936/haproxy?stats

#

# ## If no servers are specified, then default to 127.0.0.1:1936/haproxy?stats

# servers = ["http://myhaproxy.com:1936/haproxy?stats"]

#

# ## Credentials for basic HTTP authentication

# # username = "admin"

# # password = "admin"

#

# ## You can also use local socket with standard wildcard globbing.

# ## Server address not starting with 'http' will be treated as a possible

# ## socket, so both examples below are valid.

# # servers = ["socket:/run/haproxy/admin.sock", "/run/haproxy/*.sock"]

#

# ## By default, some of the fields are renamed from what haproxy calls them.

# ## Setting this option to true results in the plugin keeping the original

# ## field names.

# # keep_field_names = false

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Monitor disks' temperatures using hddtemp

# [[inputs.hddtemp]]

# ## By default, telegraf gathers temps data from all disks detected by the

# ## hddtemp.

# ##

# ## Only collect temps from the selected disks.

# ##

# ## A * as the device name will return the temperature values of all disks.

# ##

# # address = "127.0.0.1:7634"

# # devices = ["sda", "*"]

# # Read formatted metrics from one or more HTTP endpoints

# [[inputs.http]]

# ## One or more URLs from which to read formatted metrics

# urls = [

# "http://localhost/metrics"

# ]

#

# ## HTTP method

# # method = "GET"

#

# ## Optional HTTP headers

# # headers = {"X-Special-Header" = "Special-Value"}

#

# ## Optional file with Bearer token

# ## file content is added as an Authorization header

# # bearer_token = "/path/to/file"

#

# ## Optional HTTP Basic Auth Credentials

# # username = "username"

# # password = "pa$$word"

#

# ## HTTP entity-body to send with POST/PUT requests.

# # body = ""

#

# ## HTTP Content-Encoding for write request body, can be set to "gzip" to

# ## compress body or "identity" to apply no encoding.

# # content_encoding = "identity"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## Amount of time allowed to complete the HTTP request

# # timeout = "5s"

#

# ## List of success status codes

# # success_status_codes = [200]

#

# ## Data format to consume.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# # data_format = "influx"

# # HTTP/HTTPS request given an address a method and a timeout

# [[inputs.http_response]]

# ## Deprecated in 1.12, use 'urls'

# ## Server address (default http://localhost)

# # address = "http://localhost"

#

# ## List of urls to query.

# # urls = ["http://localhost"]

#

# ## Set http_proxy (telegraf uses the system wide proxy settings if it's is not set)

# # http_proxy = "http://localhost:8888"

#

# ## Set response_timeout (default 5 seconds)

# # response_timeout = "5s"

#

# ## HTTP Request Method

# # method = "GET"

#

# ## Whether to follow redirects from the server (defaults to false)

# # follow_redirects = false

#

# ## Optional file with Bearer token

# ## file content is added as an Authorization header

# # bearer_token = "/path/to/file"

#

# ## Optional HTTP Basic Auth Credentials

# # username = "username"

# # password = "pa$$word"

#

# ## Optional HTTP Request Body

# # body = '''

# # {'fake':'data'}

# # '''

#

# ## Optional name of the field that will contain the body of the response.

# ## By default it is set to an empty String indicating that the body's content won't be added

# # response_body_field = ''

#

# ## Maximum allowed HTTP response body size in bytes.

# ## 0 means to use the default of 32MiB.

# ## If the response body size exceeds this limit a "body_read_error" will be raised

# # response_body_max_size = "32MiB"

#

# ## Optional substring or regex match in body of the response (case sensitive)

# # response_string_match = "\"service_status\": \"up\""

# # response_string_match = "ok"

# # response_string_match = "\".*_status\".?:.?\"up\""

#

# ## Expected response status code.

# ## The status code of the response is compared to this value. If they match, the field

# ## "response_status_code_match" will be 1, otherwise it will be 0. If the

# ## expected status code is 0, the check is disabled and the field won't be added.

# # response_status_code = 0

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## HTTP Request Headers (all values must be strings)

# # [inputs.http_response.headers]

# # Host = "github.com"

#

# ## Optional setting to map response http headers into tags

# ## If the http header is not present on the request, no corresponding tag will be added

# ## If multiple instances of the http header are present, only the first value will be used

# # http_header_tags = {"HTTP_HEADER" = "TAG_NAME"}

#

# ## Interface to use when dialing an address

# # interface = "eth0"

# # Read flattened metrics from one or more JSON HTTP endpoints

# [[inputs.httpjson]]

# ## NOTE This plugin only reads numerical measurements, strings and booleans

# ## will be ignored.

#

# ## Name for the service being polled. Will be appended to the name of the

# ## measurement e.g. httpjson_webserver_stats

# ##

# ## Deprecated (1.3.0): Use name_override, name_suffix, name_prefix instead.

# name = "webserver_stats"

#

# ## URL of each server in the service's cluster

# servers = [

# "http://localhost:9999/stats/",

# "http://localhost:9998/stats/",

# ]

# ## Set response_timeout (default 5 seconds)

# response_timeout = "5s"

#

# ## HTTP method to use: GET or POST (case-sensitive)

# method = "GET"

#

# ## List of tag names to extract from top-level of JSON server response

# # tag_keys = [

# # "my_tag_1",

# # "my_tag_2"

# # ]

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## HTTP parameters (all values must be strings). For "GET" requests, data

# ## will be included in the query. For "POST" requests, data will be included

# ## in the request body as "x-www-form-urlencoded".

# # [inputs.httpjson.parameters]

# # event_type = "cpu_spike"

# # threshold = "0.75"

#

# ## HTTP Headers (all values must be strings)

# # [inputs.httpjson.headers]

# # X-Auth-Token = "my-xauth-token"

# # apiVersion = "v1"

# # Gather Icinga2 status

# [[inputs.icinga2]]

# ## Required Icinga2 server address

# # server = "https://localhost:5665"

#

# ## Required Icinga2 object type ("services" or "hosts")

# # object_type = "services"

#

# ## Credentials for basic HTTP authentication

# # username = "admin"

# # password = "admin"

#

# ## Maximum time to receive response.

# # response_timeout = "5s"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = true

# # Gets counters from all InfiniBand cards and ports installed

# [[inputs.infiniband]]

# # no configuration

# # Read InfluxDB-formatted JSON metrics from one or more HTTP endpoints

# [[inputs.influxdb]]

# ## Works with InfluxDB debug endpoints out of the box,

# ## but other services can use this format too.

# ## See the influxdb plugin's README for more details.

#

# ## Multiple URLs from which to read InfluxDB-formatted JSON

# ## Default is "http://localhost:8086/debug/vars".

# urls = [

# "http://localhost:8086/debug/vars"

# ]

#

# ## Username and password to send using HTTP Basic Authentication.

# # username = ""

# # password = ""

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## http request & header timeout

# timeout = "5s"

# # Collect statistics about itself

# [[inputs.internal]]

# ## If true, collect telegraf memory stats.

# # collect_memstats = true

# # This plugin gathers interrupts data from /proc/interrupts and /proc/softirqs.

# [[inputs.interrupts]]

# ## When set to true, cpu metrics are tagged with the cpu. Otherwise cpu is

# ## stored as a field.

# ##

# ## The default is false for backwards compatibility, and will be changed to

# ## true in a future version. It is recommended to set to true on new

# ## deployments.

# # cpu_as_tag = false

#

# ## To filter which IRQs to collect, make use of tagpass / tagdrop, i.e.

# # [inputs.interrupts.tagdrop]

# # irq = [ "NET_RX", "TASKLET" ]

# # Read metrics from the bare metal servers via IPMI

# [[inputs.ipmi_sensor]]

# ## optionally specify the path to the ipmitool executable

# # path = "/usr/bin/ipmitool"

# ##

# ## Setting 'use_sudo' to true will make use of sudo to run ipmitool.

# ## Sudo must be configured to allow the telegraf user to run ipmitool

# ## without a password.

# # use_sudo = false

# ##

# ## optionally force session privilege level. Can be CALLBACK, USER, OPERATOR, ADMINISTRATOR

# # privilege = "ADMINISTRATOR"

# ##

# ## optionally specify one or more servers via a url matching

# ## [username[:password]@][protocol[(address)]]

# ## e.g.

# ## root:passwd@lan(127.0.0.1)

# ##

# ## if no servers are specified, local machine sensor stats will be queried

# ##

# # servers = ["USERID:PASSW0RD@lan(192.168.1.1)"]

#

# ## Recommended: use metric 'interval' that is a multiple of 'timeout' to avoid

# ## gaps or overlap in pulled data

# interval = "30s"

#

# ## Timeout for the ipmitool command to complete

# timeout = "20s"

#

# ## Schema Version: (Optional, defaults to version 1)

# metric_version = 2

# # Gather packets and bytes counters from Linux ipsets

# [[inputs.ipset]]

# ## By default, we only show sets which have already matched at least 1 packet.

# ## set include_unmatched_sets = true to gather them all.

# include_unmatched_sets = false

# ## Adjust your sudo settings appropriately if using this option ("sudo ipset save")

# use_sudo = false

# ## The default timeout of 1s for ipset execution can be overridden here:

# # timeout = "1s"

# # Gather packets and bytes throughput from iptables

# [[inputs.iptables]]

# ## iptables require root access on most systems.

# ## Setting 'use_sudo' to true will make use of sudo to run iptables.

# ## Users must configure sudo to allow telegraf user to run iptables with no password.

# ## iptables can be restricted to only list command "iptables -nvL".

# use_sudo = false

# ## Setting 'use_lock' to true runs iptables with the "-w" option.

# ## Adjust your sudo settings appropriately if using this option ("iptables -w 5 -nvl")

# use_lock = false

# ## Define an alternate executable, such as "ip6tables". Default is "iptables".

# # binary = "ip6tables"

# ## defines the table to monitor:

# table = "filter"

# ## defines the chains to monitor.

# ## NOTE: iptables rules without a comment will not be monitored.

# ## Read the plugin documentation for more information.

# chains = [ "INPUT" ]

# # Collect virtual and real server stats from Linux IPVS

# [[inputs.ipvs]]

# # no configuration

# # Read jobs and cluster metrics from Jenkins instances

# [[inputs.jenkins]]

# ## The Jenkins URL in the format "schema://host:port"

# url = "http://my-jenkins-instance:8080"

# # username = "admin"

# # password = "admin"

#

# ## Set response_timeout

# response_timeout = "5s"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use SSL but skip chain & host verification

# # insecure_skip_verify = false

#

# ## Optional Max Job Build Age filter

# ## Default 1 hour, ignore builds older than max_build_age

# # max_build_age = "1h"

#

# ## Optional Sub Job Depth filter

# ## Jenkins can have unlimited layer of sub jobs

# ## This config will limit the layers of pulling, default value 0 means

# ## unlimited pulling until no more sub jobs

# # max_subjob_depth = 0

#

# ## Optional Sub Job Per Layer

# ## In workflow-multibranch-plugin, each branch will be created as a sub job.

# ## This config will limit to call only the lasted branches in each layer,

# ## empty will use default value 10

# # max_subjob_per_layer = 10

#

# ## Jobs to exclude from gathering

# # job_exclude = [ "job1", "job2/subjob1/subjob2", "job3/*"]

#

# ## Nodes to exclude from gathering

# # node_exclude = [ "node1", "node2" ]

#

# ## Worker pool for jenkins plugin only

# ## Empty this field will use default value 5

# # max_connections = 5

# # Read JMX metrics through Jolokia

# [[inputs.jolokia]]

# # DEPRECATED: the jolokia plugin has been deprecated in favor of the

# # jolokia2 plugin

# # see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/jolokia2

#

# ## This is the context root used to compose the jolokia url

# ## NOTE that Jolokia requires a trailing slash at the end of the context root

# ## NOTE that your jolokia security policy must allow for POST requests.

# context = "/jolokia/"

#

# ## This specifies the mode used

# # mode = "proxy"

# #

# ## When in proxy mode this section is used to specify further

# ## proxy address configurations.

# ## Remember to change host address to fit your environment.

# # [inputs.jolokia.proxy]

# # host = "127.0.0.1"

# # port = "8080"

#

# ## Optional http timeouts

# ##

# ## response_header_timeout, if non-zero, specifies the amount of time to wait

# ## for a server's response headers after fully writing the request.

# # response_header_timeout = "3s"

# ##

# ## client_timeout specifies a time limit for requests made by this client.

# ## Includes connection time, any redirects, and reading the response body.

# # client_timeout = "4s"

#

# ## Attribute delimiter

# ##

# ## When multiple attributes are returned for a single

# ## [inputs.jolokia.metrics], the field name is a concatenation of the metric

# ## name, and the attribute name, separated by the given delimiter.

# # delimiter = "_"

#

# ## List of servers exposing jolokia read service

# [[inputs.jolokia.servers]]

# name = "as-server-01"

# host = "127.0.0.1"

# port = "8080"

# # username = "myuser"

# # password = "mypassword"

#

# ## List of metrics collected on above servers

# ## Each metric consists in a name, a jmx path and either

# ## a pass or drop slice attribute.

# ## This collect all heap memory usage metrics.

# [[inputs.jolokia.metrics]]

# name = "heap_memory_usage"

# mbean = "java.lang:type=Memory"

# attribute = "HeapMemoryUsage"

#

# ## This collect thread counts metrics.

# [[inputs.jolokia.metrics]]

# name = "thread_count"

# mbean = "java.lang:type=Threading"

# attribute = "TotalStartedThreadCount,ThreadCount,DaemonThreadCount,PeakThreadCount"

#

# ## This collect number of class loaded/unloaded counts metrics.

# [[inputs.jolokia.metrics]]

# name = "class_count"

# mbean = "java.lang:type=ClassLoading"

# attribute = "LoadedClassCount,UnloadedClassCount,TotalLoadedClassCount"

# # Read JMX metrics from a Jolokia REST agent endpoint

# [[inputs.jolokia2_agent]]

# # default_tag_prefix = ""

# # default_field_prefix = ""

# # default_field_separator = "."

#

# # Add agents URLs to query

# urls = ["http://localhost:8080/jolokia"]

# # username = ""

# # password = ""

# # response_timeout = "5s"

#

# ## Optional TLS config

# # tls_ca = "/var/private/ca.pem"

# # tls_cert = "/var/private/client.pem"

# # tls_key = "/var/private/client-key.pem"

# # insecure_skip_verify = false

#

# ## Add metrics to read

# [[inputs.jolokia2_agent.metric]]

# name = "java_runtime"

# mbean = "java.lang:type=Runtime"

# paths = ["Uptime"]

# # Read JMX metrics from a Jolokia REST proxy endpoint

# [[inputs.jolokia2_proxy]]

# # default_tag_prefix = ""

# # default_field_prefix = ""

# # default_field_separator = "."

#

# ## Proxy agent

# url = "http://localhost:8080/jolokia"

# # username = ""

# # password = ""

# # response_timeout = "5s"

#

# ## Optional TLS config

# # tls_ca = "/var/private/ca.pem"

# # tls_cert = "/var/private/client.pem"

# # tls_key = "/var/private/client-key.pem"

# # insecure_skip_verify = false

#

# ## Add proxy targets to query

# # default_target_username = ""

# # default_target_password = ""

# [[inputs.jolokia2_proxy.target]]

# url = "service:jmx:rmi:///jndi/rmi://targethost:9999/jmxrmi"

# # username = ""

# # password = ""

#

# ## Add metrics to read

# [[inputs.jolokia2_proxy.metric]]

# name = "java_runtime"

# mbean = "java.lang:type=Runtime"

# paths = ["Uptime"]

# # Read Kapacitor-formatted JSON metrics from one or more HTTP endpoints

# [[inputs.kapacitor]]

# ## Multiple URLs from which to read Kapacitor-formatted JSON

# ## Default is "http://localhost:9092/kapacitor/v1/debug/vars".

# urls = [

# "http://localhost:9092/kapacitor/v1/debug/vars"

# ]

#

# ## Time limit for http requests

# timeout = "5s"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Get kernel statistics from /proc/vmstat

# [[inputs.kernel_vmstat]]

# # no configuration

# # Read status information from one or more Kibana servers

# [[inputs.kibana]]

# ## Specify a list of one or more Kibana servers

# servers = ["http://localhost:5601"]

#

# ## Timeout for HTTP requests

# timeout = "5s"

#

# ## HTTP Basic Auth credentials

# # username = "username"

# # password = "pa$$word"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Read metrics from the Kubernetes api

# [[inputs.kube_inventory]]

# ## URL for the Kubernetes API

# url = "https://127.0.0.1"

#

# ## Namespace to use. Set to "" to use all namespaces.

# # namespace = "default"

#

# ## Use bearer token for authorization. ('bearer_token' takes priority)

# ## If both of these are empty, we'll use the default serviceaccount:

# ## at: /run/secrets/kubernetes.io/serviceaccount/token

# # bearer_token = "/path/to/bearer/token"

# ## OR

# # bearer_token_string = "abc_123"

#

# ## Set response_timeout (default 5 seconds)

# # response_timeout = "5s"

#

# ## Optional Resources to exclude from gathering

# ## Leave them with blank with try to gather everything available.

# ## Values can be - "daemonsets", deployments", "endpoints", "ingress", "nodes",

# ## "persistentvolumes", "persistentvolumeclaims", "pods", "services", "statefulsets"

# # resource_exclude = [ "deployments", "nodes", "statefulsets" ]

#

# ## Optional Resources to include when gathering

# ## Overrides resource_exclude if both set.

# # resource_include = [ "deployments", "nodes", "statefulsets" ]

#

# ## selectors to include and exclude as tags. Globs accepted.

# ## Note that an empty array for both will include all selectors as tags

# ## selector_exclude overrides selector_include if both set.

# # selector_include = []

# # selector_exclude = ["*"]

#

# ## Optional TLS Config

# # tls_ca = "/path/to/cafile"

# # tls_cert = "/path/to/certfile"

# # tls_key = "/path/to/keyfile"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Read metrics from the kubernetes kubelet api

# [[inputs.kubernetes]]

# ## URL for the kubelet

# url = "http://127.0.0.1:10255"

#

# ## Use bearer token for authorization. ('bearer_token' takes priority)

# ## If both of these are empty, we'll use the default serviceaccount:

# ## at: /run/secrets/kubernetes.io/serviceaccount/token

# # bearer_token = "/path/to/bearer/token"

# ## OR

# # bearer_token_string = "abc_123"

#

# ## Pod labels to be added as tags. An empty array for both include and

# ## exclude will include all labels.

# # label_include = []

# # label_exclude = ["*"]

#

# ## Set response_timeout (default 5 seconds)

# # response_timeout = "5s"

#

# ## Optional TLS Config

# # tls_ca = /path/to/cafile

# # tls_cert = /path/to/certfile

# # tls_key = /path/to/keyfile

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Read metrics from a LeoFS Server via SNMP

# [[inputs.leofs]]

# ## An array of URLs of the form:

# ## host [ ":" port]

# servers = ["127.0.0.1:4020"]

# # Provides Linux sysctl fs metrics

# [[inputs.linux_sysctl_fs]]

# # no configuration

# # Read metrics exposed by Logstash

# [[inputs.logstash]]

# ## The URL of the exposed Logstash API endpoint.

# url = "http://127.0.0.1:9600"

#

# ## Use Logstash 5 single pipeline API, set to true when monitoring

# ## Logstash 5.

# # single_pipeline = false

#

# ## Enable optional collection components. Can contain

# ## "pipelines", "process", and "jvm".

# # collect = ["pipelines", "process", "jvm"]

#

# ## Timeout for HTTP requests.

# # timeout = "5s"

#

# ## Optional HTTP Basic Auth credentials.

# # username = "username"

# # password = "pa$$word"

#

# ## Optional TLS Config.

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

#

# ## Use TLS but skip chain & host verification.

# # insecure_skip_verify = false

#

# ## Optional HTTP headers.

# # [inputs.logstash.headers]

# # "X-Special-Header" = "Special-Value"

# # Read metrics from local Lustre service on OST, MDS

# [[inputs.lustre2]]

# ## An array of /proc globs to search for Lustre stats

# ## If not specified, the default will work on Lustre 2.5.x

# ##

# # ost_procfiles = [

# # "/proc/fs/lustre/obdfilter/*/stats",

# # "/proc/fs/lustre/osd-ldiskfs/*/stats",

# # "/proc/fs/lustre/obdfilter/*/job_stats",

# # ]

# # mds_procfiles = [

# # "/proc/fs/lustre/mdt/*/md_stats",

# # "/proc/fs/lustre/mdt/*/job_stats",

# # ]

# # Gathers metrics from the /3.0/reports MailChimp API

# [[inputs.mailchimp]]

# ## MailChimp API key

# ## get from https://admin.mailchimp.com/account/api/

# api_key = "" # required

# ## Reports for campaigns sent more than days_old ago will not be collected.

# ## 0 means collect all.

# days_old = 0

# ## Campaign ID to get, if empty gets all campaigns, this option overrides days_old

# # campaign_id = ""

# # Retrieves information on a specific host in a MarkLogic Cluster

# [[inputs.marklogic]]

# ## Base URL of the MarkLogic HTTP Server.

# url = "http://localhost:8002"

#

# ## List of specific hostnames to retrieve information. At least (1) required.

# # hosts = ["hostname1", "hostname2"]

#

# ## Using HTTP Basic Authentication. Management API requires 'manage-user' role privileges

# # username = "myuser"

# # password = "mypassword"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Read metrics from one or many mcrouter servers

# [[inputs.mcrouter]]

# ## An array of address to gather stats about. Specify an ip or hostname

# ## with port. ie tcp://localhost:11211, tcp://10.0.0.1:11211, etc.

# servers = ["tcp://localhost:11211", "unix:///var/run/mcrouter.sock"]

#

# ## Timeout for metric collections from all servers. Minimum timeout is "1s".

# # timeout = "5s"

# # Read metrics from one or many memcached servers

# [[inputs.memcached]]

# ## An array of address to gather stats about. Specify an ip on hostname

# ## with optional port. ie localhost, 10.0.0.1:11211, etc.

# servers = ["localhost:11211"]

# # unix_sockets = ["/var/run/memcached.sock"]

# # Telegraf plugin for gathering metrics from N Mesos masters

# [[inputs.mesos]]

# ## Timeout, in ms.

# timeout = 100

#

# ## A list of Mesos masters.

# masters = ["http://localhost:5050"]

#

# ## Master metrics groups to be collected, by default, all enabled.

# master_collections = [

# "resources",

# "master",

# "system",

# "agents",

# "frameworks",

# "framework_offers",

# "tasks",

# "messages",

# "evqueue",

# "registrar",

# "allocator",

# ]

#

# ## A list of Mesos slaves, default is []

# # slaves = []

#

# ## Slave metrics groups to be collected, by default, all enabled.

# # slave_collections = [

# # "resources",

# # "agent",

# # "system",

# # "executors",

# # "tasks",

# # "messages",

# # ]

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Collects scores from a Minecraft server's scoreboard using the RCON protocol

# [[inputs.minecraft]]

# ## Address of the Minecraft server.

# # server = "localhost"

#

# ## Server RCON Port.

# # port = "25575"

#

# ## Server RCON Password.

# password = ""

#

# ## Uncomment to remove deprecated metric components.

# # tagdrop = ["server"]

# # Retrieve data from MODBUS slave devices

[[inputs.modbus]]

# ## Connection Configuration

# ##

# ## The plugin supports connections to PLCs via MODBUS/TCP or

# ## via serial line communication in binary (RTU) or readable (ASCII) encoding

# ##

# ## Device name

name = "Device"

#

# ## Slave ID - addresses a MODBUS device on the bus

# ## Range: 0 - 255 [0 = broadcast; 248 - 255 = reserved]

slave_id = 1

#

# ## Timeout for each request

timeout = "3s"

#

# ## Maximum number of retries and the time to wait between retries

# ## when a slave-device is busy.

# # busy_retries = 0

# # busy_retries_wait = "100ms"

#

# # TCP - connect via Modbus/TCP

controller = "tcp://169.254.230.136:502"

#

# ## Serial (RS485; RS232)

# # controller = "file:///dev/ttyUSB0"

# # baud_rate = 9600

# # data_bits = 8

# # parity = "N"

# # stop_bits = 1

# # transmission_mode = "RTU"

#

#

# ## Measurements

# ##

#

# ## Digital Variables, Discrete Inputs and Coils

# ## measurement - the (optional) measurement name, defaults to "modbus"

# ## name - the variable name

# ## address - variable address

#

# discrete_inputs = [

# { name = "start", address = [0]},

# { name = "stop", address = [1]},

# { name = "reset", address = [2]},

# { name = "emergency_stop", address = [3]},

# ]

# coils = [

# { name = "motor1_run", address = [0]},

# { name = "motor1_jog", address = [1]},

# { name = "motor1_stop", address = [2]},

# ]

#

# ## Analog Variables, Input Registers and Holding Registers

# ## measurement - the (optional) measurement name, defaults to "modbus"

# ## name - the variable name

# ## byte_order - the ordering of bytes

# ## |---AB, ABCD - Big Endian

# ## |---BA, DCBA - Little Endian

# ## |---BADC - Mid-Big Endian

# ## |---CDAB - Mid-Little Endian

# ## data_type - INT16, UINT16, INT32, UINT32, INT64, UINT64, FLOAT32-IEEE (the IEEE 754 binary representation)

# ## FLOAT32, FIXED, UFIXED (fixed-point representation on input)

# ## scale - the final numeric variable representation

# ## address - variable address

#

# holding_registers = [

# { name = "power_factor", byte_order = "AB", data_type = "FIXED", scale=0.01, address = [8]},

# { name = "voltage", byte_order = "AB", data_type = "FIXED", scale=0.1, address = [0]},

# { name = "energy", byte_order = "ABCD", data_type = "FIXED", scale=0.001, address = [5,6]},

# { name = "current", byte_order = "ABCD", data_type = "FIXED", scale=0.001, address = [1,2]},

# { name = "frequency", byte_order = "AB", data_type = "UFIXED", scale=0.1, address = [7]},

# { name = "power", byte_order = "ABCD", data_type = "UFIXED", scale=0.1, address = [3,4]},

# ]

input_registers = [

{ name = "tank_level", byte_order = "AB", data_type = "INT16", scale=1.0, address = [1]},

{ name = "tank_ph", byte_order = "AB", data_type = "INT16", scale=1.0, address = [2]},

# { name = "pump1_speed", byte_order = "ABCD", data_type = "INT32", scale=1.0, address = [3,4]},

]

# # Read metrics from one or many MongoDB servers

# [[inputs.mongodb]]

# ## An array of URLs of the form:

# ## "mongodb://" [user ":" pass "@"] host [ ":" port]

# ## For example:

# ## mongodb://user:[email protected]:27017,

# ## mongodb://10.10.3.33:18832,

# servers = ["mongodb://127.0.0.1:27017"]

#

# ## When true, collect cluster status

# ## Note that the query that counts jumbo chunks triggers a COLLSCAN, which

# ## may have an impact on performance.

# # gather_cluster_status = true

#

# ## When true, collect per database stats

# # gather_perdb_stats = false

#

# ## When true, collect per collection stats

# # gather_col_stats = false

#

# ## List of db where collections stats are collected

# ## If empty, all db are concerned

# # col_stats_dbs = ["local"]

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Read metrics and status information about processes managed by Monit

# [[inputs.monit]]

# ## Monit HTTPD address

# address = "http://127.0.0.1:2812"

#

# ## Username and Password for Monit

# # username = ""

# # password = ""

#

# ## Amount of time allowed to complete the HTTP request

# # timeout = "5s"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Aggregates the contents of multiple files into a single point

# [[inputs.multifile]]

# ## Base directory where telegraf will look for files.

# ## Omit this option to use absolute paths.

# base_dir = "/sys/bus/i2c/devices/1-0076/iio:device0"

#

# ## If true, Telegraf discard all data when a single file can't be read.

# ## Else, Telegraf omits the field generated from this file.

# # fail_early = true

#

# ## Files to parse each interval.

# [[inputs.multifile.file]]

# file = "in_pressure_input"

# dest = "pressure"

# conversion = "float"

# [[inputs.multifile.file]]

# file = "in_temp_input"

# dest = "temperature"

# conversion = "float(3)"

# [[inputs.multifile.file]]

# file = "in_humidityrelative_input"

# dest = "humidityrelative"

# conversion = "float(3)"

# # Read metrics from one or many mysql servers

# [[inputs.mysql]]

# ## specify servers via a url matching:

# ## [username[:password]@][protocol[(address)]]/[?tls=[true|false|skip-verify|custom]]

# ## see https://github.com/go-sql-driver/mysql#dsn-data-source-name

# ## e.g.

# ## servers = ["user:passwd@tcp(127.0.0.1:3306)/?tls=false"]

# ## servers = ["user@tcp(127.0.0.1:3306)/?tls=false"]

# #

# ## If no servers are specified, then localhost is used as the host.

# servers = ["tcp(127.0.0.1:3306)/"]

#

# ## Selects the metric output format.

# ##

# ## This option exists to maintain backwards compatibility, if you have

# ## existing metrics do not set or change this value until you are ready to

# ## migrate to the new format.

# ##

# ## If you do not have existing metrics from this plugin set to the latest

# ## version.

# ##

# ## Telegraf >=1.6: metric_version = 2

# ## <1.6: metric_version = 1 (or unset)

# metric_version = 2

#

# ## if the list is empty, then metrics are gathered from all database tables

# # table_schema_databases = []

#

# ## gather metrics from INFORMATION_SCHEMA.TABLES for databases provided above list

# # gather_table_schema = false

#

# ## gather thread state counts from INFORMATION_SCHEMA.PROCESSLIST

# # gather_process_list = false

#

# ## gather user statistics from INFORMATION_SCHEMA.USER_STATISTICS

# # gather_user_statistics = false

#

# ## gather auto_increment columns and max values from information schema

# # gather_info_schema_auto_inc = false

#

# ## gather metrics from INFORMATION_SCHEMA.INNODB_METRICS

# # gather_innodb_metrics = false

#

# ## gather metrics from SHOW SLAVE STATUS command output

# # gather_slave_status = false

#

# ## gather metrics from SHOW BINARY LOGS command output

# # gather_binary_logs = false

#

# ## gather metrics from PERFORMANCE_SCHEMA.GLOBAL_VARIABLES

# # gather_global_variables = true

#

# ## gather metrics from PERFORMANCE_SCHEMA.TABLE_IO_WAITS_SUMMARY_BY_TABLE

# # gather_table_io_waits = false

#

# ## gather metrics from PERFORMANCE_SCHEMA.TABLE_LOCK_WAITS

# # gather_table_lock_waits = false

#

# ## gather metrics from PERFORMANCE_SCHEMA.TABLE_IO_WAITS_SUMMARY_BY_INDEX_USAGE

# # gather_index_io_waits = false

#

# ## gather metrics from PERFORMANCE_SCHEMA.EVENT_WAITS

# # gather_event_waits = false

#

# ## gather metrics from PERFORMANCE_SCHEMA.FILE_SUMMARY_BY_EVENT_NAME

# # gather_file_events_stats = false

#

# ## gather metrics from PERFORMANCE_SCHEMA.EVENTS_STATEMENTS_SUMMARY_BY_DIGEST

# # gather_perf_events_statements = false

#

# ## the limits for metrics form perf_events_statements

# # perf_events_statements_digest_text_limit = 120

# # perf_events_statements_limit = 250

# # perf_events_statements_time_limit = 86400

#

# ## Some queries we may want to run less often (such as SHOW GLOBAL VARIABLES)

# ## example: interval_slow = "30m"

# # interval_slow = ""

#

# ## Optional TLS Config (will be used if tls=custom parameter specified in server uri)

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Provides metrics about the state of a NATS server

# [[inputs.nats]]

# ## The address of the monitoring endpoint of the NATS server

# server = "http://localhost:8222"

#

# ## Maximum time to receive response

# # response_timeout = "5s"

# # Neptune Apex data collector

# [[inputs.neptune_apex]]

# ## The Neptune Apex plugin reads the publicly available status.xml data from a local Apex.

# ## Measurements will be logged under "apex".

#

# ## The base URL of the local Apex(es). If you specify more than one server, they will

# ## be differentiated by the "source" tag.

# servers = [

# "http://apex.local",

# ]

#

# ## The response_timeout specifies how long to wait for a reply from the Apex.

# #response_timeout = "5s"

# # Read metrics about network interface usage

# [[inputs.net]]

# ## By default, telegraf gathers stats from any up interface (excluding loopback)

# ## Setting interfaces will tell it to gather these explicit interfaces,

# ## regardless of status.

# ##

# # interfaces = ["eth0"]

# ##

# ## On linux systems telegraf also collects protocol stats.

# ## Setting ignore_protocol_stats to true will skip reporting of protocol metrics.

# ##

# # ignore_protocol_stats = false

# ##

# # Collect response time of a TCP or UDP connection

# [[inputs.net_response]]

# ## Protocol, must be "tcp" or "udp"

# ## NOTE: because the "udp" protocol does not respond to requests, it requires

# ## a send/expect string pair (see below).

# protocol = "tcp"

# ## Server address (default localhost)

# address = "localhost:80"

#

# ## Set timeout

# # timeout = "1s"

#

# ## Set read timeout (only used if expecting a response)

# # read_timeout = "1s"

#

# ## The following options are required for UDP checks. For TCP, they are

# ## optional. The plugin will send the given string to the server and then

# ## expect to receive the given 'expect' string back.

# ## string sent to the server

# # send = "ssh"

# ## expected string in answer

# # expect = "ssh"

#

# ## Uncomment to remove deprecated fields

# # fielddrop = ["result_type", "string_found"]

# # Read TCP metrics such as established, time wait and sockets counts.

# [[inputs.netstat]]

# # no configuration

# # Read Nginx's basic status information (ngx_http_stub_status_module)

# [[inputs.nginx]]

# # An array of Nginx stub_status URI to gather stats.

# urls = ["http://localhost/server_status"]

#

# ## Optional TLS Config

# tls_ca = "/etc/telegraf/ca.pem"

# tls_cert = "/etc/telegraf/cert.cer"

# tls_key = "/etc/telegraf/key.key"

# ## Use TLS but skip chain & host verification

# insecure_skip_verify = false

#

# # HTTP response timeout (default: 5s)

# response_timeout = "5s"

# # Read Nginx Plus' full status information (ngx_http_status_module)

# [[inputs.nginx_plus]]

# ## An array of ngx_http_status_module or status URI to gather stats.

# urls = ["http://localhost/status"]

#

# # HTTP response timeout (default: 5s)

# response_timeout = "5s"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Read Nginx Plus Api documentation

# [[inputs.nginx_plus_api]]

# ## An array of API URI to gather stats.

# urls = ["http://localhost/api"]

#

# # Nginx API version, default: 3

# # api_version = 3

#

# # HTTP response timeout (default: 5s)

# response_timeout = "5s"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Read Nginx virtual host traffic status module information (nginx-module-sts)

# [[inputs.nginx_sts]]

# ## An array of ngx_http_status_module or status URI to gather stats.

# urls = ["http://localhost/status"]

#

# ## HTTP response timeout (default: 5s)

# response_timeout = "5s"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Read nginx_upstream_check module status information (https://github.com/yaoweibin/nginx_upstream_check_module)

# [[inputs.nginx_upstream_check]]

# ## An URL where Nginx Upstream check module is enabled

# ## It should be set to return a JSON formatted response

# url = "http://127.0.0.1/status?format=json"

#

# ## HTTP method

# # method = "GET"

#

# ## Optional HTTP headers

# # headers = {"X-Special-Header" = "Special-Value"}

#

# ## Override HTTP "Host" header

# # host_header = "check.example.com"

#

# ## Timeout for HTTP requests

# timeout = "5s"

#

# ## Optional HTTP Basic Auth credentials

# # username = "username"

# # password = "pa$$word"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Read Nginx virtual host traffic status module information (nginx-module-vts)

# [[inputs.nginx_vts]]

# ## An array of ngx_http_status_module or status URI to gather stats.

# urls = ["http://localhost/status"]

#

# ## HTTP response timeout (default: 5s)

# response_timeout = "5s"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # A plugin to collect stats from the NSD authoritative DNS name server

# [[inputs.nsd]]

# ## Address of server to connect to, optionally ':port'. Defaults to the

# ## address in the nsd config file.

# server = "127.0.0.1:8953"

#

# ## If running as a restricted user you can prepend sudo for additional access:

# # use_sudo = false

#

# ## The default location of the nsd-control binary can be overridden with:

# # binary = "/usr/sbin/nsd-control"

#

# ## The default location of the nsd config file can be overridden with:

# # config_file = "/etc/nsd/nsd.conf"

#

# ## The default timeout of 1s can be overridden with:

# # timeout = "1s"

# # Read NSQ topic and channel statistics.

# [[inputs.nsq]]

# ## An array of NSQD HTTP API endpoints

# endpoints = ["http://localhost:4151"]

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Collect kernel snmp counters and network interface statistics

# [[inputs.nstat]]

# ## file paths for proc files. If empty default paths will be used:

# ## /proc/net/netstat, /proc/net/snmp, /proc/net/snmp6

# ## These can also be overridden with env variables, see README.

# proc_net_netstat = "/proc/net/netstat"

# proc_net_snmp = "/proc/net/snmp"

# proc_net_snmp6 = "/proc/net/snmp6"

# ## dump metrics with 0 values too

# dump_zeros = true

# # Get standard NTP query metrics, requires ntpq executable.

# [[inputs.ntpq]]

# ## If false, set the -n ntpq flag. Can reduce metric gather time.

# dns_lookup = true

# # Pulls statistics from nvidia GPUs attached to the host

# [[inputs.nvidia_smi]]

# ## Optional: path to nvidia-smi binary, defaults to $PATH via exec.LookPath

# # bin_path = "/usr/bin/nvidia-smi"

#

# ## Optional: timeout for GPU polling

# # timeout = "5s"

# # Retrieve data from OPCUA devices

# [[inputs.opcua]]

# [[inputs.opcua]]

# ## Device name

# # name = "localhost"

# #

# ## OPC UA Endpoint URL

# # endpoint = "opc.tcp://localhost:4840"

# #

# ## Maximum time allowed to establish a connect to the endpoint.

# # connect_timeout = "10s"

# #

# ## Maximum time allowed for a request over the estabilished connection.

# # request_timeout = "5s"

# #

# ## Security policy, one of "None", "Basic128Rsa15", "Basic256",

# ## "Basic256Sha256", or "auto"

# # security_policy = "auto"

# #

# ## Security mode, one of "None", "Sign", "SignAndEncrypt", or "auto"

# # security_mode = "auto"

# #

# ## Path to cert.pem. Required when security mode or policy isn't "None".

# ## If cert path is not supplied, self-signed cert and key will be generated.

# # certificate = "/etc/telegraf/cert.pem"

# #

# ## Path to private key.pem. Required when security mode or policy isn't "None".

# ## If key path is not supplied, self-signed cert and key will be generated.

# # private_key = "/etc/telegraf/key.pem"

# #

# ## Authentication Method, one of "Certificate", "UserName", or "Anonymous". To

# ## authenticate using a specific ID, select 'Certificate' or 'UserName'

# # auth_method = "Anonymous"

# #

# ## Username. Required for auth_method = "UserName"

# # username = ""

# #

# ## Password. Required for auth_method = "UserName"

# # password = ""

# #

# ## Node ID configuration

# ## name - the variable name

# ## namespace - integer value 0 thru 3

# ## identifier_type - s=string, i=numeric, g=guid, b=opaque

# ## identifier - tag as shown in opcua browser

# ## data_type - boolean, byte, short, int, uint, uint16, int16,

# ## uint32, int32, float, double, string, datetime, number

# ## Example:

# ## {name="ProductUri", namespace="0", identifier_type="i", identifier="2262", data_type="string", description="http://open62541.org"}

# nodes = [

# {name="", namespace="", identifier_type="", identifier="", data_type="", description=""},

# {name="", namespace="", identifier_type="", identifier="", data_type="", description=""},

# ]

# # OpenLDAP cn=Monitor plugin

# [[inputs.openldap]]

# host = "localhost"

# port = 389

#

# # ldaps, starttls, or no encryption. default is an empty string, disabling all encryption.

# # note that port will likely need to be changed to 636 for ldaps

# # valid options: "" | "starttls" | "ldaps"

# tls = ""

#

# # skip peer certificate verification. Default is false.

# insecure_skip_verify = false

#

# # Path to PEM-encoded Root certificate to use to verify server certificate

# tls_ca = "/etc/ssl/certs.pem"

#

# # dn/password to bind with. If bind_dn is empty, an anonymous bind is performed.

# bind_dn = ""

# bind_password = ""

#

# # Reverse metric names so they sort more naturally. Recommended.

# # This defaults to false if unset, but is set to true when generating a new config

# reverse_metric_names = true

# # Get standard NTP query metrics from OpenNTPD.

# [[inputs.openntpd]]

# ## Run ntpctl binary with sudo.

# # use_sudo = false

#

# ## Location of the ntpctl binary.

# # binary = "/usr/sbin/ntpctl"

#

# ## Maximum time the ntpctl binary is allowed to run.

# # timeout = "5ms"

# # A plugin to collect stats from Opensmtpd - a validating, recursive, and caching DNS resolver

# [[inputs.opensmtpd]]

# ## If running as a restricted user you can prepend sudo for additional access:

# #use_sudo = false

#

# ## The default location of the smtpctl binary can be overridden with:

# binary = "/usr/sbin/smtpctl"

#

# ## The default timeout of 1000ms can be overridden with (in milliseconds):

# timeout = 1000

# # Read current weather and forecasts data from openweathermap.org

# [[inputs.openweathermap]]

# ## OpenWeatherMap API key.

# app_id = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"

#

# ## City ID's to collect weather data from.

# city_id = ["5391959"]

#

# ## Language of the description field. Can be one of "ar", "bg",

# ## "ca", "cz", "de", "el", "en", "fa", "fi", "fr", "gl", "hr", "hu",

# ## "it", "ja", "kr", "la", "lt", "mk", "nl", "pl", "pt", "ro", "ru",

# ## "se", "sk", "sl", "es", "tr", "ua", "vi", "zh_cn", "zh_tw"

# # lang = "en"

#

# ## APIs to fetch; can contain "weather" or "forecast".

# fetch = ["weather", "forecast"]

#

# ## OpenWeatherMap base URL

# # base_url = "https://api.openweathermap.org/"

#

# ## Timeout for HTTP response.

# # response_timeout = "5s"

#

# ## Preferred unit system for temperature and wind speed. Can be one of

# ## "metric", "imperial", or "standard".

# # units = "metric"

#

# ## Query interval; OpenWeatherMap updates their weather data every 10

# ## minutes.

# interval = "10m"

# # Read metrics of passenger using passenger-status

# [[inputs.passenger]]

# ## Path of passenger-status.

# ##

# ## Plugin gather metric via parsing XML output of passenger-status

# ## More information about the tool:

# ## https://www.phusionpassenger.com/library/admin/apache/overall_status_report.html

# ##

# ## If no path is specified, then the plugin simply execute passenger-status

# ## hopefully it can be found in your PATH

# command = "passenger-status -v --show=xml"

# # Gather counters from PF

# [[inputs.pf]]

# ## PF require root access on most systems.

# ## Setting 'use_sudo' to true will make use of sudo to run pfctl.

# ## Users must configure sudo to allow telegraf user to run pfctl with no password.

# ## pfctl can be restricted to only list command "pfctl -s info".

# use_sudo = false

# # Read metrics of phpfpm, via HTTP status page or socket

# [[inputs.phpfpm]]

# ## An array of addresses to gather stats about. Specify an ip or hostname

# ## with optional port and path

# ##

# ## Plugin can be configured in three modes (either can be used):

# ## - http: the URL must start with http:// or https://, ie:

# ## "http://localhost/status"

# ## "http://192.168.130.1/status?full"

# ##

# ## - unixsocket: path to fpm socket, ie:

# ## "/var/run/php5-fpm.sock"

# ## or using a custom fpm status path:

# ## "/var/run/php5-fpm.sock:fpm-custom-status-path"

# ##

# ## - fcgi: the URL must start with fcgi:// or cgi://, and port must be present, ie:

# ## "fcgi://10.0.0.12:9000/status"

# ## "cgi://10.0.10.12:9001/status"

# ##

# ## Example of multiple gathering from local socket and remote host

# ## urls = ["http://192.168.1.20/status", "/tmp/fpm.sock"]

# urls = ["http://localhost/status"]

#

# ## Duration allowed to complete HTTP requests.

# # timeout = "5s"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Ping given url(s) and return statistics

# [[inputs.ping]]

# ## Hosts to send ping packets to.

# urls = ["example.org"]

#

# ## Method used for sending pings, can be either "exec" or "native". When set

# ## to "exec" the systems ping command will be executed. When set to "native"

# ## the plugin will send pings directly.

# ##

# ## While the default is "exec" for backwards compatibility, new deployments

# ## are encouraged to use the "native" method for improved compatibility and

# ## performance.

# # method = "exec"

#

# ## Number of ping packets to send per interval. Corresponds to the "-c"

# ## option of the ping command.

# # count = 1

#

# ## Time to wait between sending ping packets in seconds. Operates like the

# ## "-i" option of the ping command.

# # ping_interval = 1.0

#

# ## If set, the time to wait for a ping response in seconds. Operates like

# ## the "-W" option of the ping command.

# # timeout = 1.0

#

# ## If set, the total ping deadline, in seconds. Operates like the -w option

# ## of the ping command.

# # deadline = 10

#

# ## Interface or source address to send ping from. Operates like the -I or -S

# ## option of the ping command.

# # interface = ""

#

# ## Specify the ping executable binary.

# # binary = "ping"

#

# ## Arguments for ping command. When arguments is not empty, the command from

# ## the binary option will be used and other options (ping_interval, timeout,

# ## etc) will be ignored.

# # arguments = ["-c", "3"]

#

# ## Use only IPv6 addresses when resolving a hostname.

# # ipv6 = false

# # Measure postfix queue statistics

# [[inputs.postfix]]

# ## Postfix queue directory. If not provided, telegraf will try to use

# ## 'postconf -h queue_directory' to determine it.

# # queue_directory = "/var/spool/postfix"

# # Read metrics from one or many PowerDNS servers

# [[inputs.powerdns]]

# ## An array of sockets to gather stats about.

# ## Specify a path to unix socket.

# unix_sockets = ["/var/run/pdns.controlsocket"]

# # Read metrics from one or many PowerDNS Recursor servers

# [[inputs.powerdns_recursor]]

# ## Path to the Recursor control socket.

# unix_sockets = ["/var/run/pdns_recursor.controlsocket"]

#

# ## Directory to create receive socket. This default is likely not writable,

# ## please reference the full plugin documentation for a recommended setup.

# # socket_dir = "/var/run/"

# ## Socket permissions for the receive socket.

# # socket_mode = "0666"

# # Monitor process cpu and memory usage

# [[inputs.procstat]]

# ## PID file to monitor process

# pid_file = "/var/run/nginx.pid"

# ## executable name (ie, pgrep <exe>)

# # exe = "nginx"

# ## pattern as argument for pgrep (ie, pgrep -f <pattern>)

# # pattern = "nginx"

# ## user as argument for pgrep (ie, pgrep -u <user>)

# # user = "nginx"

# ## Systemd unit name

# # systemd_unit = "nginx.service"

# ## CGroup name or path

# # cgroup = "systemd/system.slice/nginx.service"

#

# ## Windows service name

# # win_service = ""

#

# ## override for process_name

# ## This is optional; default is sourced from /proc/<pid>/status

# # process_name = "bar"

#

# ## Field name prefix

# # prefix = ""

#

# ## When true add the full cmdline as a tag.

# # cmdline_tag = false

#

# ## Add the PID as a tag instead of as a field. When collecting multiple

# ## processes with otherwise matching tags this setting should be enabled to

# ## ensure each process has a unique identity.

# ##

# ## Enabling this option may result in a large number of series, especially

# ## when processes have a short lifetime.

# # pid_tag = false

#

# ## Method to use when finding process IDs. Can be one of 'pgrep', or

# ## 'native'. The pgrep finder calls the pgrep executable in the PATH while

# ## the native finder performs the search directly in a manor dependent on the

# ## platform. Default is 'pgrep'

# # pid_finder = "pgrep"

# # Provides metrics from Proxmox nodes (Proxmox Virtual Environment > 6.2).

# [[inputs.proxmox]]

# ## API connection configuration. The API token was introduced in Proxmox v6.2. Required permissions for user and token: PVEAuditor role on /.

# base_url = "https://localhost:8006/api2/json"

# api_token = "USER@REALM!TOKENID=UUID"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# insecure_skip_verify = false

#

# # HTTP response timeout (default: 5s)

# response_timeout = "5s"

# # Reads last_run_summary.yaml file and converts to measurements

# [[inputs.puppetagent]]

# ## Location of puppet last run summary file

# location = "/var/lib/puppet/state/last_run_summary.yaml"

# # Reads metrics from RabbitMQ servers via the Management Plugin

# [[inputs.rabbitmq]]

# ## Management Plugin url. (default: http://localhost:15672)

# # url = "http://localhost:15672"

# ## Tag added to rabbitmq_overview series; deprecated: use tags

# # name = "rmq-server-1"

# ## Credentials

# # username = "guest"

# # password = "guest"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## Optional request timeouts

# ##

# ## ResponseHeaderTimeout, if non-zero, specifies the amount of time to wait

# ## for a server's response headers after fully writing the request.

# # header_timeout = "3s"

# ##

# ## client_timeout specifies a time limit for requests made by this client.

# ## Includes connection time, any redirects, and reading the response body.

# # client_timeout = "4s"

#

# ## A list of nodes to gather as the rabbitmq_node measurement. If not

# ## specified, metrics for all nodes are gathered.

# # nodes = ["rabbit@node1", "rabbit@node2"]

#

# ## A list of queues to gather as the rabbitmq_queue measurement. If not

# ## specified, metrics for all queues are gathered.

# # queues = ["telegraf"]

#

# ## A list of exchanges to gather as the rabbitmq_exchange measurement. If not

# ## specified, metrics for all exchanges are gathered.

# # exchanges = ["telegraf"]

#

# ## Queues to include and exclude. Globs accepted.

# ## Note that an empty array for both will include all queues

# queue_name_include = []

# queue_name_exclude = []

#

# ## Federation upstreams include and exclude when gathering the rabbitmq_federation measurement.

# ## If neither are specified, metrics for all federation upstreams are gathered.

# ## Federation link metrics will only be gathered for queues and exchanges

# ## whose non-federation metrics will be collected (e.g a queue excluded

# ## by the 'queue_name_exclude' option will also be excluded from federation).

# ## Globs accepted.

# # federation_upstream_include = ["dataCentre-*"]

# # federation_upstream_exclude = []

# # Read raindrops stats (raindrops - real-time stats for preforking Rack servers)

# [[inputs.raindrops]]

# ## An array of raindrops middleware URI to gather stats.

# urls = ["http://localhost:8080/_raindrops"]

# # RAS plugin exposes counter metrics for Machine Check Errors provided by RASDaemon (sqlite3 output is required).

# [[inputs.ras]]

# ## Optional path to RASDaemon sqlite3 database.

# ## Default: /var/lib/rasdaemon/ras-mc_event.db

# # db_path = ""

# # Read CPU, Fans, Powersupply and Voltage metrics of hardware server through redfish APIs

# [[inputs.redfish]]

# ## Server url

# address = "https://127.0.0.1:5000"

#

# ## Username, Password for hardware server

# username = "root"

# password = "password123456"

#

# ## ComputerSystemId

# computer_system_id="2M220100SL"

#

# ## Amount of time allowed to complete the HTTP request

# # timeout = "5s"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Read metrics from one or many redis servers

# [[inputs.redis]]

# ## specify servers via a url matching:

# ## [protocol://][:password]@address[:port]

# ## e.g.

# ## tcp://localhost:6379

# ## tcp://:[email protected]

# ## unix:///var/run/redis.sock

# ##

# ## If no servers are specified, then localhost is used as the host.

# ## If no port is specified, 6379 is used

# servers = ["tcp://localhost:6379"]

#

# ## Optional. Specify redis commands to retrieve values

# # [[inputs.redis.commands]]

# # command = ["get", "sample-key"]

# # field = "sample-key-value"

# # type = "string"

#

# ## specify server password

# # password = "s#cr@t%"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = true

# # Read metrics from one or many RethinkDB servers

# [[inputs.rethinkdb]]

# ## An array of URI to gather stats about. Specify an ip or hostname

# ## with optional port add password. ie,

# ## rethinkdb://user:[email protected]:28105,

# ## rethinkdb://10.10.3.33:18832,

# ## 10.0.0.1:10000, etc.

# servers = ["127.0.0.1:28015"]

# ##

# ## If you use actual rethinkdb of > 2.3.0 with username/password authorization,

# ## protocol have to be named "rethinkdb2" - it will use 1_0 H.

# # servers = ["rethinkdb2://username:[email protected]:28015"]

# ##

# ## If you use older versions of rethinkdb (<2.2) with auth_key, protocol

# ## have to be named "rethinkdb".

# # servers = ["rethinkdb://username:[email protected]:28015"]

# # Read metrics one or many Riak servers

# [[inputs.riak]]

# # Specify a list of one or more riak http servers

# servers = ["http://localhost:8098"]

# # Read API usage and limits for a Salesforce organisation

# [[inputs.salesforce]]

# ## specify your credentials

# ##

# username = "your_username"

# password = "your_password"

# ##

# ## (optional) security token

# # security_token = "your_security_token"

# ##

# ## (optional) environment type (sandbox or production)

# ## default is: production

# ##

# # environment = "production"

# ##

# ## (optional) API version (default: "39.0")

# ##

# # version = "39.0"

# # Monitor sensors, requires lm-sensors package

# [[inputs.sensors]]

# ## Remove numbers from field names.

# ## If true, a field name like 'temp1_input' will be changed to 'temp_input'.

# # remove_numbers = true

#

# ## Timeout is the maximum amount of time that the sensors command can run.

# # timeout = "5s"

# # Read metrics from storage devices supporting S.M.A.R.T.

# [[inputs.smart]]

# ## Optionally specify the path to the smartctl executable

# # path_smartctl = "/usr/bin/smartctl"

#

# ## Optionally specify the path to the nvme-cli executable

# # path_nvme = "/usr/bin/nvme"

#

# ## Optionally specify if vendor specific attributes should be propagated for NVMe disk case

# ## ["auto-on"] - automatically find and enable additional vendor specific disk info

# ## ["vendor1", "vendor2", ...] - e.g. "Intel" enable additional Intel specific disk info

# # enable_extensions = ["auto-on"]

#

# ## On most platforms used cli utilities requires root access.

# ## Setting 'use_sudo' to true will make use of sudo to run smartctl or nvme-cli.

# ## Sudo must be configured to allow the telegraf user to run smartctl or nvme-cli

# ## without a password.

# # use_sudo = false

#

# ## Skip checking disks in this power mode. Defaults to

# ## "standby" to not wake up disks that have stopped rotating.

# ## See --nocheck in the man pages for smartctl.

# ## smartctl version 5.41 and 5.42 have faulty detection of

# ## power mode and might require changing this value to

# ## "never" depending on your disks.

# # nocheck = "standby"

#

# ## Gather all returned S.M.A.R.T. attribute metrics and the detailed

# ## information from each drive into the 'smart_attribute' measurement.

# # attributes = false

#

# ## Optionally specify devices to exclude from reporting if disks auto-discovery is performed.

# # excludes = [ "/dev/pass6" ]

#

# ## Optionally specify devices and device type, if unset

# ## a scan (smartctl --scan and smartctl --scan -d nvme) for S.M.A.R.T. devices will be done

# ## and all found will be included except for the excluded in excludes.

# # devices = [ "/dev/ada0 -d atacam", "/dev/nvme0"]

#

# ## Timeout for the cli command to complete.

# # timeout = "30s"

# # Retrieves SNMP values from remote agents

# [[inputs.snmp]]

# ## Agent addresses to retrieve values from.

# ## example: agents = ["udp://127.0.0.1:161"]

# ## agents = ["tcp://127.0.0.1:161"]

# agents = ["udp://127.0.0.1:161"]

#

# ## Timeout for each request.

# # timeout = "5s"

#

# ## SNMP version; can be 1, 2, or 3.

# # version = 2

#

# ## Agent host tag; the tag used to reference the source host

# # agent_host_tag = "agent_host"

#

# ## SNMP community string.

# # community = "public"

#

# ## Number of retries to attempt.

# # retries = 3

#

# ## The GETBULK max-repetitions parameter.

# # max_repetitions = 10

#

# ## SNMPv3 authentication and encryption options.

# ##

# ## Security Name.

# # sec_name = "myuser"

# ## Authentication protocol; one of "MD5", "SHA", or "".

# # auth_protocol = "MD5"

# ## Authentication password.

# # auth_password = "pass"

# ## Security Level; one of "noAuthNoPriv", "authNoPriv", or "authPriv".

# # sec_level = "authNoPriv"

# ## Context Name.

# # context_name = ""

# ## Privacy protocol used for encrypted messages; one of "DES", "AES" or "".

# # priv_protocol = ""

# ## Privacy password used for encrypted messages.

# # priv_password = ""

#

# ## Add fields and tables defining the variables you wish to collect. This

# ## example collects the system uptime and interface variables. Reference the

# ## full plugin documentation for configuration details.

# # DEPRECATED! PLEASE USE inputs.snmp INSTEAD.

# [[inputs.snmp_legacy]]

# ## Use 'oids.txt' file to translate oids to names

# ## To generate 'oids.txt' you need to run:

# ## snmptranslate -m all -Tz -On | sed -e 's/"//g' > /tmp/oids.txt

# ## Or if you have an other MIB folder with custom MIBs

# ## snmptranslate -M /mycustommibfolder -Tz -On -m all | sed -e 's/"//g' > oids.txt

# snmptranslate_file = "/tmp/oids.txt"

# [[inputs.snmp.host]]

# address = "192.168.2.2:161"

# # SNMP community

# community = "public" # default public

# # SNMP version (1, 2 or 3)

# # Version 3 not supported yet

# version = 2 # default 2

# # SNMP response timeout

# timeout = 2.0 # default 2.0

# # SNMP request retries

# retries = 2 # default 2

# # Which get/bulk do you want to collect for this host

# collect = ["mybulk", "sysservices", "sysdescr"]

# # Simple list of OIDs to get, in addition to "collect"

# get_oids = []

#

# [[inputs.snmp.host]]

# address = "192.168.2.3:161"

# community = "public"

# version = 2

# timeout = 2.0

# retries = 2

# collect = ["mybulk"]

# get_oids = [

# "ifNumber",

# ".1.3.6.1.2.1.1.3.0",

# ]

#

# [[inputs.snmp.get]]

# name = "ifnumber"

# oid = "ifNumber"

#

# [[inputs.snmp.get]]

# name = "interface_speed"

# oid = "ifSpeed"

# instance = "0"

#

# [[inputs.snmp.get]]

# name = "sysuptime"

# oid = ".1.3.6.1.2.1.1.3.0"

# unit = "second"

#

# [[inputs.snmp.bulk]]

# name = "mybulk"

# max_repetition = 127

# oid = ".1.3.6.1.2.1.1"

#

# [[inputs.snmp.bulk]]

# name = "ifoutoctets"

# max_repetition = 127

# oid = "ifOutOctets"

#

# [[inputs.snmp.host]]

# address = "192.168.2.13:161"

# #address = "127.0.0.1:161"

# community = "public"

# version = 2

# timeout = 2.0

# retries = 2

# #collect = ["mybulk", "sysservices", "sysdescr", "systype"]

# collect = ["sysuptime" ]

# [[inputs.snmp.host.table]]

# name = "iftable3"

# include_instances = ["enp5s0", "eth1"]

#

# # SNMP TABLEs

# # table without mapping neither subtables

# [[inputs.snmp.table]]

# name = "iftable1"

# oid = ".1.3.6.1.2.1.31.1.1.1"

#

# # table without mapping but with subtables

# [[inputs.snmp.table]]

# name = "iftable2"

# oid = ".1.3.6.1.2.1.31.1.1.1"

# sub_tables = [".1.3.6.1.2.1.2.2.1.13"]

#

# # table with mapping but without subtables

# [[inputs.snmp.table]]

# name = "iftable3"

# oid = ".1.3.6.1.2.1.31.1.1.1"

# # if empty. get all instances

# mapping_table = ".1.3.6.1.2.1.31.1.1.1.1"

# # if empty, get all subtables

#

# # table with both mapping and subtables

# [[inputs.snmp.table]]

# name = "iftable4"

# oid = ".1.3.6.1.2.1.31.1.1.1"

# # if empty get all instances

# mapping_table = ".1.3.6.1.2.1.31.1.1.1.1"

# # if empty get all subtables

# # sub_tables could be not "real subtables"

# sub_tables=[".1.3.6.1.2.1.2.2.1.13", "bytes_recv", "bytes_send"]

# # Read stats from one or more Solr servers or cores

# [[inputs.solr]]

# ## specify a list of one or more Solr servers

# servers = ["http://localhost:8983"]

#

# ## specify a list of one or more Solr cores (default - all)

# # cores = ["main"]

#

# ## Optional HTTP Basic Auth Credentials

# # username = "username"

# # password = "pa$$word"

# # Read metrics from Microsoft SQL Server

# [[inputs.sqlserver]]

# ## Specify instances to monitor with a list of connection strings.

# ## All connection parameters are optional.

# ## By default, the host is localhost, listening on default port, TCP 1433.

# ## for Windows, the user is the currently running AD user (SSO).

# ## See https://github.com/denisenkom/go-mssqldb for detailed connection

# ## parameters, in particular, tls connections can be created like so:

# ## "encrypt=true;certificate=<cert>;hostNameInCertificate=<SqlServer host fqdn>"

# # servers = [

# # "Server=192.168.1.10;Port=1433;User Id=<user>;Password=<pw>;app name=telegraf;log=1;",

# # ]

#

# ## This enables a specific set of queries depending on the database type. If specified, it replaces azuredb = true/false and query_version = 2

# ## In the config file, the sql server plugin section should be repeated each with a set of servers for a specific database_type.

# ## Possible values for database_type are

# ## "AzureSQLDB"

# ## "SQLServer"

# ## "AzureSQLManagedInstance"

# # database_type = "AzureSQLDB"

#

#

# ## Optional parameter, setting this to 2 will use a new version

# ## of the collection queries that break compatibility with the original

# ## dashboards.

# ## Version 2 - is compatible from SQL Server 2012 and later versions and also for SQL Azure DB

# query_version = 2

#

# ## If you are using AzureDB, setting this to true will gather resource utilization metrics

# # azuredb = false

#

# ## Possible queries

# ## Version 2:

# ## - PerformanceCounters

# ## - WaitStatsCategorized

# ## - DatabaseIO

# ## - ServerProperties

# ## - MemoryClerk

# ## - Schedulers

# ## - SqlRequests

# ## - VolumeSpace

# ## - Cpu

#

# ## Version 1:

# ## - PerformanceCounters

# ## - WaitStatsCategorized

# ## - CPUHistory

# ## - DatabaseIO

# ## - DatabaseSize

# ## - DatabaseStats

# ## - DatabaseProperties

# ## - MemoryClerk

# ## - VolumeSpace

# ## - PerformanceMetrics

#

#

# ## Queries enabled by default for specific Database Type

# ## database_type = AzureSQLDB

# ## AzureDBWaitStats, AzureDBResourceStats, AzureDBResourceGovernance, sqlAzureDBDatabaseIO

#

# ## A list of queries to include. If not specified, all the above listed queries are used.

# # include_query = []

#

# ## A list of queries to explicitly ignore.

# exclude_query = [ 'Schedulers' , 'SqlRequests']

# # Gather timeseries from Google Cloud Platform v3 monitoring API

# [[inputs.stackdriver]]

# ## GCP Project

# project = "erudite-bloom-151019"

#

# ## Include timeseries that start with the given metric type.

# metric_type_prefix_include = [

# "compute.googleapis.com/",

# ]

#

# ## Exclude timeseries that start with the given metric type.

# # metric_type_prefix_exclude = []

#

# ## Many metrics are updated once per minute; it is recommended to override

# ## the agent level interval with a value of 1m or greater.

# interval = "1m"

#

# ## Maximum number of API calls to make per second. The quota for accounts

# ## varies, it can be viewed on the API dashboard:

# ## https://cloud.google.com/monitoring/quotas#quotas_and_limits

# # rate_limit = 14

#

# ## The delay and window options control the number of points selected on

# ## each gather. When set, metrics are gathered between:

# ## start: now() - delay - window

# ## end: now() - delay

# #

# ## Collection delay; if set too low metrics may not yet be available.

# # delay = "5m"

# #

# ## If unset, the window will start at 1m and be updated dynamically to span

# ## the time between calls (approximately the length of the plugin interval).

# # window = "1m"

#

# ## TTL for cached list of metric types. This is the maximum amount of time

# ## it may take to discover new metrics.

# # cache_ttl = "1h"

#

# ## If true, raw bucket counts are collected for distribution value types.

# ## For a more lightweight collection, you may wish to disable and use

# ## distribution_aggregation_aligners instead.

# # gather_raw_distribution_buckets = true

#

# ## Aggregate functions to be used for metrics whose value type is

# ## distribution. These aggregate values are recorded in in addition to raw

# ## bucket counts; if they are enabled.

# ##

# ## For a list of aligner strings see:

# ## https://cloud.google.com/monitoring/api/ref_v3/rpc/google.monitoring.v3#aligner

# # distribution_aggregation_aligners = [

# # "ALIGN_PERCENTILE_99",

# # "ALIGN_PERCENTILE_95",

# # "ALIGN_PERCENTILE_50",

# # ]

#

# ## Filters can be added to reduce the number of time series matched. All

# ## functions are supported: starts_with, ends_with, has_substring, and

# ## one_of. Only the '=' operator is supported.

# ##

# ## The logical operators when combining filters are defined statically using

# ## the following values:

# ## filter ::= <resource_labels> {AND <metric_labels>}

# ## resource_labels ::= <resource_labels> {OR <resource_label>}

# ## metric_labels ::= <metric_labels> {OR <metric_label>}

# ##

# ## For more details, see https://cloud.google.com/monitoring/api/v3/filters

# #

# ## Resource labels refine the time series selection with the following expression:

# ## resource.labels.<key> = <value>

# # [[inputs.stackdriver.filter.resource_labels]]

# # key = "instance_name"

# # value = 'starts_with("localhost")'

# #

# ## Metric labels refine the time series selection with the following expression:

# ## metric.labels.<key> = <value>

# # [[inputs.stackdriver.filter.metric_labels]]

# # key = "device_name"

# # value = 'one_of("sda", "sdb")'

# # Get synproxy counter statistics from procfs

# [[inputs.synproxy]]

# # no configuration

# # Sysstat metrics collector

# [[inputs.sysstat]]

# ## Path to the sadc command.

# #

# ## Common Defaults:

# ## Debian/Ubuntu: /usr/lib/sysstat/sadc

# ## Arch: /usr/lib/sa/sadc

# ## RHEL/CentOS: /usr/lib64/sa/sadc

# sadc_path = "/usr/lib/sa/sadc" # required

#

# ## Path to the sadf command, if it is not in PATH

# # sadf_path = "/usr/bin/sadf"

#

# ## Activities is a list of activities, that are passed as argument to the

# ## sadc collector utility (e.g: DISK, SNMP etc...)

# ## The more activities that are added, the more data is collected.

# # activities = ["DISK"]

#

# ## Group metrics to measurements.

# ##

# ## If group is false each metric will be prefixed with a description

# ## and represents itself a measurement.

# ##

# ## If Group is true, corresponding metrics are grouped to a single measurement.

# # group = true

#

# ## Options for the sadf command. The values on the left represent the sadf

# ## options and the values on the right their description (which are used for

# ## grouping and prefixing metrics).

# ##

# ## Run 'sar -h' or 'man sar' to find out the supported options for your

# ## sysstat version.

# [inputs.sysstat.options]

# -C = "cpu"

# -B = "paging"

# -b = "io"

# -d = "disk" # requires DISK activity

# "-n ALL" = "network"

# "-P ALL" = "per_cpu"

# -q = "queue"

# -R = "mem"

# -r = "mem_util"

# -S = "swap_util"

# -u = "cpu_util"

# -v = "inode"

# -W = "swap"

# -w = "task"

# # -H = "hugepages" # only available for newer linux distributions

# # "-I ALL" = "interrupts" # requires INT activity

#

# ## Device tags can be used to add additional tags for devices.

# ## For example the configuration below adds a tag vg with value rootvg for

# ## all metrics with sda devices.

# # [[inputs.sysstat.device_tags.sda]]

# # vg = "rootvg"

# # Gather systemd units state

# [[inputs.systemd_units]]

# ## Set timeout for systemctl execution

# # timeout = "1s"

# #

# ## Filter for a specific unit type, default is "service", other possible

# ## values are "socket", "target", "device", "mount", "automount", "swap",

# ## "timer", "path", "slice" and "scope ":

# # unittype = "service"

# # Reads metrics from a Teamspeak 3 Server via ServerQuery

# [[inputs.teamspeak]]

# ## Server address for Teamspeak 3 ServerQuery

# # server = "127.0.0.1:10011"

# ## Username for ServerQuery

# username = "serverqueryuser"

# ## Password for ServerQuery

# password = "secret"

# ## Array of virtual servers

# # virtual_servers = [1]

# # Read metrics about temperature

# [[inputs.temp]]

# # no configuration

# # Read Tengine's basic status information (ngx_http_reqstat_module)

# [[inputs.tengine]]

# # An array of Tengine reqstat module URI to gather stats.

# urls = ["http://127.0.0.1/us"]

#

# # HTTP response timeout (default: 5s)

# # response_timeout = "5s"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.cer"

# # tls_key = "/etc/telegraf/key.key"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Gather metrics from the Tomcat server status page.

# [[inputs.tomcat]]

# ## URL of the Tomcat server status

# # url = "http://127.0.0.1:8080/manager/status/all?XML=true"

#

# ## HTTP Basic Auth Credentials

# # username = "tomcat"

# # password = "s3cret"

#

# ## Request timeout

# # timeout = "5s"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Inserts sine and cosine waves for demonstration purposes

# [[inputs.trig]]

# ## Set the amplitude

# amplitude = 10.0

# # Read Twemproxy stats data

# [[inputs.twemproxy]]

# ## Twemproxy stats address and port (no scheme)

# addr = "localhost:22222"

# ## Monitor pool name

# pools = ["redis_pool", "mc_pool"]

# # A plugin to collect stats from the Unbound DNS resolver

# [[inputs.unbound]]

# ## Address of server to connect to, read from unbound conf default, optionally ':port'

# ## Will lookup IP if given a hostname

# server = "127.0.0.1:8953"

#

# ## If running as a restricted user you can prepend sudo for additional access:

# # use_sudo = false

#

# ## The default location of the unbound-control binary can be overridden with:

# # binary = "/usr/sbin/unbound-control"

#

# ## The default location of the unbound config file can be overridden with:

# # config_file = "/etc/unbound/unbound.conf"

#

# ## The default timeout of 1s can be overridden with:

# # timeout = "1s"

#

# ## When set to true, thread metrics are tagged with the thread id.

# ##

# ## The default is false for backwards compatibility, and will be changed to

# ## true in a future version. It is recommended to set to true on new

# ## deployments.

# thread_as_tag = false

# # Read uWSGI metrics.

# [[inputs.uwsgi]]

# ## List with urls of uWSGI Stats servers. URL must match pattern:

# ## scheme://address[:port]

# ##

# ## For example:

# ## servers = ["tcp://localhost:5050", "http://localhost:1717", "unix:///tmp/statsock"]

# servers = ["tcp://127.0.0.1:1717"]

#

# ## General connection timeout

# # timeout = "5s"

# # A plugin to collect stats from Varnish HTTP Cache

# [[inputs.varnish]]

# ## If running as a restricted user you can prepend sudo for additional access:

# #use_sudo = false

#

# ## The default location of the varnishstat binary can be overridden with:

# binary = "/usr/bin/varnishstat"

#

# ## By default, telegraf gather stats for 3 metric points.

# ## Setting stats will override the defaults shown below.

# ## Glob matching can be used, ie, stats = ["MAIN.*"]

# ## stats may also be set to ["*"], which will collect all stats

# stats = ["MAIN.cache_hit", "MAIN.cache_miss", "MAIN.uptime"]

#

# ## Optional name for the varnish instance (or working directory) to query

# ## Usually append after -n in varnish cli

# # instance_name = instanceName

#

# ## Timeout for varnishstat command

# # timeout = "1s"

# # Collect Wireguard server interface and peer statistics

# [[inputs.wireguard]]

# ## Optional list of Wireguard device/interface names to query.

# ## If omitted, all Wireguard interfaces are queried.

# # devices = ["wg0"]

# # Monitor wifi signal strength and quality

# [[inputs.wireless]]

# ## Sets 'proc' directory path

# ## If not specified, then default is /proc

# # host_proc = "/proc"

# # Reads metrics from a SSL certificate

# [[inputs.x509_cert]]

# ## List certificate sources

# sources = ["/etc/ssl/certs/ssl-cert-snakeoil.pem", "tcp://example.org:443"]

#

# ## Timeout for SSL connection

# # timeout = "5s"

#

# ## Pass a different name into the TLS request (Server Name Indication)

# ## example: server_name = "myhost.example.org"

# # server_name = ""

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# # Read metrics of ZFS from arcstats, zfetchstats, vdev_cache_stats, and pools

# [[inputs.zfs]]

# ## ZFS kstat path. Ignored on FreeBSD

# ## If not specified, then default is:

# # kstatPath = "/proc/spl/kstat/zfs"

#

# ## By default, telegraf gather all zfs stats

# ## If not specified, then default is:

# # kstatMetrics = ["arcstats", "zfetchstats", "vdev_cache_stats"]

# ## For Linux, the default is:

# # kstatMetrics = ["abdstats", "arcstats", "dnodestats", "dbufcachestats",

# # "dmu_tx", "fm", "vdev_mirror_stats", "zfetchstats", "zil"]

# ## By default, don't gather zpool stats

# # poolMetrics = false

# # Reads 'mntr' stats from one or many zookeeper servers

# [[inputs.zookeeper]]

# ## An array of address to gather stats about. Specify an ip or hostname

# ## with port. ie localhost:2181, 10.0.0.1:2181, etc.

#

# ## If no servers are specified, then localhost is used as the host.

# ## If no port is specified, 2181 is used

# servers = [":2181"]

#

# ## Timeout for metric collections from all servers. Minimum timeout is "1s".

# # timeout = "5s"

#

# ## Optional TLS Config

# # enable_tls = true

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## If false, skip chain & host verification

# # insecure_skip_verify = true

###############################################################################

# SERVICE INPUT PLUGINS #

###############################################################################

# # AMQP consumer plugin

# [[inputs.amqp_consumer]]

# ## Broker to consume from.

# ## deprecated in 1.7; use the brokers option

# # url = "amqp://localhost:5672/influxdb"

#

# ## Brokers to consume from. If multiple brokers are specified a random broker

# ## will be selected anytime a connection is established. This can be

# ## helpful for load balancing when not using a dedicated load balancer.

# brokers = ["amqp://localhost:5672/influxdb"]

#

# ## Authentication credentials for the PLAIN auth_method.

# # username = ""

# # password = ""

#

# ## Name of the exchange to declare. If unset, no exchange will be declared.

# exchange = "telegraf"

#

# ## Exchange type; common types are "direct", "fanout", "topic", "header", "x-consistent-hash".

# # exchange_type = "topic"

#

# ## If true, exchange will be passively declared.

# # exchange_passive = false

#

# ## Exchange durability can be either "transient" or "durable".

# # exchange_durability = "durable"

#

# ## Additional exchange arguments.

# # exchange_arguments = { }

# # exchange_arguments = {"hash_property" = "timestamp"}

#

# ## AMQP queue name.

# queue = "telegraf"

#

# ## AMQP queue durability can be "transient" or "durable".

# queue_durability = "durable"

#

# ## If true, queue will be passively declared.

# # queue_passive = false

#

# ## A binding between the exchange and queue using this binding key is

# ## created. If unset, no binding is created.

# binding_key = "#"

#

# ## Maximum number of messages server should give to the worker.

# # prefetch_count = 50

#

# ## Maximum messages to read from the broker that have not been written by an

# ## output. For best throughput set based on the number of metrics within

# ## each message and the size of the output's metric_batch_size.

# ##

# ## For example, if each message from the queue contains 10 metrics and the

# ## output metric_batch_size is 1000, setting this to 100 will ensure that a

# ## full batch is collected and the write is triggered immediately without

# ## waiting until the next flush_interval.

# # max_undelivered_messages = 1000

#

# ## Auth method. PLAIN and EXTERNAL are supported

# ## Using EXTERNAL requires enabling the rabbitmq_auth_mechanism_ssl plugin as

# ## described here: https://www.rabbitmq.com/plugins.html

# # auth_method = "PLAIN"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## Content encoding for message payloads, can be set to "gzip" to or

# ## "identity" to apply no encoding.

# # content_encoding = "identity"

#

# ## Data format to consume.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# data_format = "influx"

# # Read Cassandra metrics through Jolokia

# [[inputs.cassandra]]

# ## DEPRECATED: The cassandra plugin has been deprecated. Please use the

# ## jolokia2 plugin instead.

# ##

# ## see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/jolokia2

#

# context = "/jolokia/read"

# ## List of cassandra servers exposing jolokia read service

# servers = ["myuser:[email protected]:8778","10.10.10.2:8778",":8778"]

# ## List of metrics collected on above servers

# ## Each metric consists of a jmx path.

# ## This will collect all heap memory usage metrics from the jvm and

# ## ReadLatency metrics for all keyspaces and tables.

# ## "type=Table" in the query works with Cassandra3.0. Older versions might

# ## need to use "type=ColumnFamily"

# metrics = [

# "/java.lang:type=Memory/HeapMemoryUsage",

# "/org.apache.cassandra.metrics:type=Table,keyspace=*,scope=*,name=ReadLatency"

# ]

# # Cisco model-driven telemetry (MDT) input plugin for IOS XR, IOS XE and NX-OS platforms

# [[inputs.cisco_telemetry_mdt]]

# ## Telemetry transport can be "tcp" or "grpc". TLS is only supported when

# ## using the grpc transport.

# transport = "grpc"

#

# ## Address and port to host telemetry listener

# service_address = ":57000"

#

# ## Enable TLS; grpc transport only.

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

#

# ## Enable TLS client authentication and define allowed CA certificates; grpc

# ## transport only.

# # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]

#

# ## Define (for certain nested telemetry measurements with embedded tags) which fields are tags

# # embedded_tags = ["Cisco-IOS-XR-qos-ma-oper:qos/interface-table/interface/input/service-policy-names/service-policy-instance/statistics/class-stats/class-name"]

#

# ## Define aliases to map telemetry encoding paths to simple measurement names

# [inputs.cisco_telemetry_mdt.aliases]

# ifstats = "ietf-interfaces:interfaces-state/interface/statistics"

# # Read metrics from one or many ClickHouse servers

# [[inputs.clickhouse]]

# ## Username for authorization on ClickHouse server

# ## example: username = "default""

# username = "default"

#

# ## Password for authorization on ClickHouse server

# ## example: password = "super_secret"

#

# ## HTTP(s) timeout while getting metrics values

# ## The timeout includes connection time, any redirects, and reading the response body.

# ## example: timeout = 1s

# # timeout = 5s

#

# ## List of servers for metrics scraping

# ## metrics scrape via HTTP(s) clickhouse interface

# ## https://clickhouse.tech/docs/en/interfaces/http/

# ## example: servers = ["http://127.0.0.1:8123","https://custom-server.mdb.yandexcloud.net"]

# servers = ["http://127.0.0.1:8123"]

#

# ## If "auto_discovery"" is "true" plugin tries to connect to all servers available in the cluster

# ## with using same "user:password" described in "user" and "password" parameters

# ## and get this server hostname list from "system.clusters" table

# ## see

# ## - https://clickhouse.tech/docs/en/operations/system_tables/#system-clusters

# ## - https://clickhouse.tech/docs/en/operations/server_settings/settings/#server_settings_remote_servers

# ## - https://clickhouse.tech/docs/en/operations/table_engines/distributed/

# ## - https://clickhouse.tech/docs/en/operations/table_engines/replication/#creating-replicated-tables

# ## example: auto_discovery = false

# # auto_discovery = true

#

# ## Filter cluster names in "system.clusters" when "auto_discovery" is "true"

# ## when this filter present then "WHERE cluster IN (...)" filter will apply

# ## please use only full cluster names here, regexp and glob filters is not allowed

# ## for "/etc/clickhouse-server/config.d/remote.xml"

# ## <yandex>

# ## <remote_servers>

# ## <my-own-cluster>

# ## <shard>

# ## <replica><host>clickhouse-ru-1.local</host><port>9000</port></replica>

# ## <replica><host>clickhouse-ru-2.local</host><port>9000</port></replica>

# ## </shard>

# ## <shard>

# ## <replica><host>clickhouse-eu-1.local</host><port>9000</port></replica>

# ## <replica><host>clickhouse-eu-2.local</host><port>9000</port></replica>

# ## </shard>

# ## </my-onw-cluster>

# ## </remote_servers>

# ##

# ## </yandex>

# ##

# ## example: cluster_include = ["my-own-cluster"]

# # cluster_include = []

#

# ## Filter cluster names in "system.clusters" when "auto_discovery" is "true"

# ## when this filter present then "WHERE cluster NOT IN (...)" filter will apply

# ## example: cluster_exclude = ["my-internal-not-discovered-cluster"]

# # cluster_exclude = []

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Read metrics from Google PubSub

# [[inputs.cloud_pubsub]]

# ## Required. Name of Google Cloud Platform (GCP) Project that owns

# ## the given PubSub subscription.

# project = "my-project"

#

# ## Required. Name of PubSub subscription to ingest metrics from.

# subscription = "my-subscription"

#

# ## Required. Data format to consume.

# ## Each data format has its own unique set of configuration options.

# ## Read more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# data_format = "influx"

#

# ## Optional. Filepath for GCP credentials JSON file to authorize calls to

# ## PubSub APIs. If not set explicitly, Telegraf will attempt to use

# ## Application Default Credentials, which is preferred.

# # credentials_file = "path/to/my/creds.json"

#

# ## Optional. Number of seconds to wait before attempting to restart the

# ## PubSub subscription receiver after an unexpected error.

# ## If the streaming pull for a PubSub Subscription fails (receiver),

# ## the agent attempts to restart receiving messages after this many seconds.

# # retry_delay_seconds = 5

#

# ## Optional. Maximum byte length of a message to consume.

# ## Larger messages are dropped with an error. If less than 0 or unspecified,

# ## treated as no limit.

# # max_message_len = 1000000

#

# ## Optional. Maximum messages to read from PubSub that have not been written

# ## to an output. Defaults to 1000.

# ## For best throughput set based on the number of metrics within

# ## each message and the size of the output's metric_batch_size.

# ##

# ## For example, if each message contains 10 metrics and the output

# ## metric_batch_size is 1000, setting this to 100 will ensure that a

# ## full batch is collected and the write is triggered immediately without

# ## waiting until the next flush_interval.

# # max_undelivered_messages = 1000

#

# ## The following are optional Subscription ReceiveSettings in PubSub.

# ## Read more about these values:

# ## https://godoc.org/cloud.google.com/go/pubsub#ReceiveSettings

#

# ## Optional. Maximum number of seconds for which a PubSub subscription

# ## should auto-extend the PubSub ACK deadline for each message. If less than

# ## 0, auto-extension is disabled.

# # max_extension = 0

#

# ## Optional. Maximum number of unprocessed messages in PubSub

# ## (unacknowledged but not yet expired in PubSub).

# ## A value of 0 is treated as the default PubSub value.

# ## Negative values will be treated as unlimited.

# # max_outstanding_messages = 0

#

# ## Optional. Maximum size in bytes of unprocessed messages in PubSub

# ## (unacknowledged but not yet expired in PubSub).

# ## A value of 0 is treated as the default PubSub value.

# ## Negative values will be treated as unlimited.

# # max_outstanding_bytes = 0

#

# ## Optional. Max number of goroutines a PubSub Subscription receiver can spawn

# ## to pull messages from PubSub concurrently. This limit applies to each

# ## subscription separately and is treated as the PubSub default if less than

# ## 1. Note this setting does not limit the number of messages that can be

# ## processed concurrently (use "max_outstanding_messages" instead).

# # max_receiver_go_routines = 0

#

# ## Optional. If true, Telegraf will attempt to base64 decode the

# ## PubSub message data before parsing

# # base64_data = false

# # Google Cloud Pub/Sub Push HTTP listener

# [[inputs.cloud_pubsub_push]]

# ## Address and port to host HTTP listener on

# service_address = ":8080"

#

# ## Application secret to verify messages originate from Cloud Pub/Sub

# # token = ""

#

# ## Path to listen to.

# # path = "/"

#

# ## Maximum duration before timing out read of the request

# # read_timeout = "10s"

# ## Maximum duration before timing out write of the response. This should be set to a value

# ## large enough that you can send at least 'metric_batch_size' number of messages within the

# ## duration.

# # write_timeout = "10s"

#

# ## Maximum allowed http request body size in bytes.

# ## 0 means to use the default of 524,288,00 bytes (500 mebibytes)

# # max_body_size = "500MB"

#

# ## Whether to add the pubsub metadata, such as message attributes and subscription as a tag.

# # add_meta = false

#

# ## Optional. Maximum messages to read from PubSub that have not been written

# ## to an output. Defaults to 1000.

# ## For best throughput set based on the number of metrics within

# ## each message and the size of the output's metric_batch_size.

# ##

# ## For example, if each message contains 10 metrics and the output

# ## metric_batch_size is 1000, setting this to 100 will ensure that a

# ## full batch is collected and the write is triggered immediately without

# ## waiting until the next flush_interval.

# # max_undelivered_messages = 1000

#

# ## Set one or more allowed client CA certificate file names to

# ## enable mutually authenticated TLS connections

# # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]

#

# ## Add service certificate and key

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

#

# ## Data format to consume.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# data_format = "influx"

# # Read logging output from the Docker engine

# [[inputs.docker_log]]

# ## Docker Endpoint

# ## To use TCP, set endpoint = "tcp://[ip]:[port]"

# ## To use environment variables (ie, docker-machine), set endpoint = "ENV"

# # endpoint = "unix:///var/run/docker.sock"

#

# ## When true, container logs are read from the beginning; otherwise

# ## reading begins at the end of the log.

# # from_beginning = false

#

# ## Timeout for Docker API calls.

# # timeout = "5s"

#

# ## Containers to include and exclude. Globs accepted.

# ## Note that an empty array for both will include all containers

# # container_name_include = []

# # container_name_exclude = []

#

# ## Container states to include and exclude. Globs accepted.

# ## When empty only containers in the "running" state will be captured.

# # container_state_include = []

# # container_state_exclude = []

#

# ## docker labels to include and exclude as tags. Globs accepted.

# ## Note that an empty array for both will include all labels as tags

# # docker_label_include = []

# # docker_label_exclude = []

#

# ## Set the source tag for the metrics to the container ID hostname, eg first 12 chars

# source_tag = false

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # Azure Event Hubs service input plugin

# [[inputs.eventhub_consumer]]

# ## The default behavior is to create a new Event Hub client from environment variables.

# ## This requires one of the following sets of environment variables to be set:

# ##

# ## 1) Expected Environment Variables:

# ## - "EVENTHUB_NAMESPACE"

# ## - "EVENTHUB_NAME"

# ## - "EVENTHUB_CONNECTION_STRING"

# ##

# ## 2) Expected Environment Variables:

# ## - "EVENTHUB_NAMESPACE"

# ## - "EVENTHUB_NAME"

# ## - "EVENTHUB_KEY_NAME"

# ## - "EVENTHUB_KEY_VALUE"

#

# ## Uncommenting the option below will create an Event Hub client based solely on the connection string.

# ## This can either be the associated environment variable or hard coded directly.

# # connection_string = ""

#

# ## Set persistence directory to a valid folder to use a file persister instead of an in-memory persister

# # persistence_dir = ""

#

# ## Change the default consumer group

# # consumer_group = ""

#

# ## By default the event hub receives all messages present on the broker, alternative modes can be set below.

# ## The timestamp should be in https://github.com/toml-lang/toml#offset-date-time format (RFC 3339).

# ## The 3 options below only apply if no valid persister is read from memory or file (e.g. first run).

# # from_timestamp =

# # latest = true

#

# ## Set a custom prefetch count for the receiver(s)

# # prefetch_count = 1000

#

# ## Add an epoch to the receiver(s)

# # epoch = 0

#

# ## Change to set a custom user agent, "telegraf" is used by default

# # user_agent = "telegraf"

#

# ## To consume from a specific partition, set the partition_ids option.

# ## An empty array will result in receiving from all partitions.

# # partition_ids = ["0","1"]

#

# ## Max undelivered messages

# # max_undelivered_messages = 1000

#

# ## Set either option below to true to use a system property as timestamp.

# ## You have the choice between EnqueuedTime and IoTHubEnqueuedTime.

# ## It is recommended to use this setting when the data itself has no timestamp.

# # enqueued_time_as_ts = true

# # iot_hub_enqueued_time_as_ts = true

#

# ## Tags or fields to create from keys present in the application property bag.

# ## These could for example be set by message enrichments in Azure IoT Hub.

# # application_property_tags = []

# # application_property_fields = []

#

# ## Tag or field name to use for metadata

# ## By default all metadata is disabled

# # sequence_number_field = "SequenceNumber"

# # enqueued_time_field = "EnqueuedTime"

# # offset_field = "Offset"

# # partition_id_tag = "PartitionID"

# # partition_key_tag = "PartitionKey"

# # iot_hub_device_connection_id_tag = "IoTHubDeviceConnectionID"

# # iot_hub_auth_generation_id_tag = "IoTHubAuthGenerationID"

# # iot_hub_connection_auth_method_tag = "IoTHubConnectionAuthMethod"

# # iot_hub_connection_module_id_tag = "IoTHubConnectionModuleID"

# # iot_hub_enqueued_time_field = "IoTHubEnqueuedTime"

#

# ## Data format to consume.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# data_format = "influx"

# # Run executable as long-running input plugin

# [[inputs.execd]]

# ## Program to run as daemon

# command = ["telegraf-smartctl", "-d", "/dev/sda"]

#

# ## Define how the process is signaled on each collection interval.

# ## Valid values are:

# ## "none" : Do not signal anything.

# ## The process must output metrics by itself.

# ## "STDIN" : Send a newline on STDIN.

# ## "SIGHUP" : Send a HUP signal. Not available on Windows.

# ## "SIGUSR1" : Send a USR1 signal. Not available on Windows.

# ## "SIGUSR2" : Send a USR2 signal. Not available on Windows.

# signal = "none"

#

# ## Delay before the process is restarted after an unexpected termination

# restart_delay = "10s"

#

# ## Data format to consume.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# data_format = "influx"

# # gNMI telemetry input plugin

# [[inputs.gnmi]]

# ## Address and port of the gNMI GRPC server

# addresses = ["10.49.234.114:57777"]

#

# ## define credentials

# username = "cisco"

# password = "cisco"

#

# ## gNMI encoding requested (one of: "proto", "json", "json_ietf")

# # encoding = "proto"

#

# ## redial in case of failures after

# redial = "10s"

#

# ## enable client-side TLS and define CA to authenticate the device

# # enable_tls = true

# # tls_ca = "/etc/telegraf/ca.pem"

# # insecure_skip_verify = true

#

# ## define client-side TLS certificate & key to authenticate to the device

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

#

# ## gNMI subscription prefix (optional, can usually be left empty)

# ## See: https://github.com/openconfig/reference/blob/master/rpc/gnmi/gnmi-specification.md#222-paths

# # origin = ""

# # prefix = ""

# # target = ""

#

# ## Define additional aliases to map telemetry encoding paths to simple measurement names

# #[inputs.gnmi.aliases]

# # ifcounters = "openconfig:/interfaces/interface/state/counters"

#

# [[inputs.gnmi.subscription]]

# ## Name of the measurement that will be emitted

# name = "ifcounters"

#

# ## Origin and path of the subscription

# ## See: https://github.com/openconfig/reference/blob/master/rpc/gnmi/gnmi-specification.md#222-paths

# ##

# ## origin usually refers to a (YANG) data model implemented by the device

# ## and path to a specific substructure inside it that should be subscribed to (similar to an XPath)

# ## YANG models can be found e.g. here: https://github.com/YangModels/yang/tree/master/vendor/cisco/xr

# origin = "openconfig-interfaces"

# path = "/interfaces/interface/state/counters"

#

# # Subscription mode (one of: "target_defined", "sample", "on_change") and interval

# subscription_mode = "sample"

# sample_interval = "10s"

#

# ## Suppress redundant transmissions when measured values are unchanged

# # suppress_redundant = false

#

# ## If suppression is enabled, send updates at least every X seconds anyway

# # heartbeat_interval = "60s"

# # Accept metrics over InfluxDB 1.x HTTP API

# [[inputs.http_listener]]

# ## Address and port to host InfluxDB listener on

# service_address = ":8186"

#

# ## maximum duration before timing out read of the request

# read_timeout = "10s"

# ## maximum duration before timing out write of the response

# write_timeout = "10s"

#

# ## Maximum allowed HTTP request body size in bytes.

# ## 0 means to use the default of 32MiB.

# max_body_size = "32MiB"

#

# ## Optional tag name used to store the database.

# ## If the write has a database in the query string then it will be kept in this tag name.

# ## This tag can be used in downstream outputs.

# ## The default value of nothing means it will be off and the database will not be recorded.

# # database_tag = ""

#

# ## If set the retention policy specified in the write query will be added as

# ## the value of this tag name.

# # retention_policy_tag = ""

#

# ## Set one or more allowed client CA certificate file names to

# ## enable mutually authenticated TLS connections

# tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]

#

# ## Add service certificate and key

# tls_cert = "/etc/telegraf/cert.pem"

# tls_key = "/etc/telegraf/key.pem"

#

# ## Optional username and password to accept for HTTP basic authentication.

# ## You probably want to make sure you have TLS configured above for this.

# # basic_username = "foobar"

# # basic_password = "barfoo"

# # Generic HTTP write listener

# [[inputs.http_listener_v2]]

# ## Address and port to host HTTP listener on

# service_address = ":8080"

#

# ## Path to listen to.

# # path = "/telegraf"

#

# ## HTTP methods to accept.

# # methods = ["POST", "PUT"]

#

# ## maximum duration before timing out read of the request

# # read_timeout = "10s"

# ## maximum duration before timing out write of the response

# # write_timeout = "10s"

#

# ## Maximum allowed http request body size in bytes.

# ## 0 means to use the default of 524,288,00 bytes (500 mebibytes)

# # max_body_size = "500MB"

#

# ## Part of the request to consume. Available options are "body" and

# ## "query".

# # data_source = "body"

#

# ## Set one or more allowed client CA certificate file names to

# ## enable mutually authenticated TLS connections

# # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]

#

# ## Add service certificate and key

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

#

# ## Optional username and password to accept for HTTP basic authentication.

# ## You probably want to make sure you have TLS configured above for this.

# # basic_username = "foobar"

# # basic_password = "barfoo"

#

# ## Optional setting to map http headers into tags

# ## If the http header is not present on the request, no corresponding tag will be added

# ## If multiple instances of the http header are present, only the first value will be used

# # http_header_tags = {"HTTP_HEADER" = "TAG_NAME"}

#

# ## Data format to consume.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# data_format = "influx"

# # Accept metrics over InfluxDB 1.x HTTP API

# [[inputs.influxdb_listener]]

# ## Address and port to host InfluxDB listener on

# service_address = ":8186"

#

# ## maximum duration before timing out read of the request

# read_timeout = "10s"

# ## maximum duration before timing out write of the response

# write_timeout = "10s"

#

# ## Maximum allowed HTTP request body size in bytes.

# ## 0 means to use the default of 32MiB.

# max_body_size = "32MiB"

#

# ## Optional tag name used to store the database.

# ## If the write has a database in the query string then it will be kept in this tag name.

# ## This tag can be used in downstream outputs.

# ## The default value of nothing means it will be off and the database will not be recorded.

# # database_tag = ""

#

# ## If set the retention policy specified in the write query will be added as

# ## the value of this tag name.

# # retention_policy_tag = ""

#

# ## Set one or more allowed client CA certificate file names to

# ## enable mutually authenticated TLS connections

# tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]

#

# ## Add service certificate and key

# tls_cert = "/etc/telegraf/cert.pem"

# tls_key = "/etc/telegraf/key.pem"

#

# ## Optional username and password to accept for HTTP basic authentication.

# ## You probably want to make sure you have TLS configured above for this.

# # basic_username = "foobar"

# # basic_password = "barfoo"

# # Accept metrics over InfluxDB 2.x HTTP API

# [[inputs.influxdb_v2_listener]]

# ## Address and port to host InfluxDB listener on

# ## (Double check the port. Could be 9999 if using OSS Beta)

# service_address = ":8086"

#

# ## Maximum allowed HTTP request body size in bytes.

# ## 0 means to use the default of 32MiB.

# # max_body_size = "32MiB"

#

# ## Optional tag to determine the bucket.

# ## If the write has a bucket in the query string then it will be kept in this tag name.

# ## This tag can be used in downstream outputs.

# ## The default value of nothing means it will be off and the database will not be recorded.

# # bucket_tag = ""

#

# ## Set one or more allowed client CA certificate file names to

# ## enable mutually authenticated TLS connections

# # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]

#

# ## Add service certificate and key

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

#

# ## Optional token to accept for HTTP authentication.

# ## You probably want to make sure you have TLS configured above for this.

# # token = "some-long-shared-secret-token"

# # Intel Resource Director Technology plugin

# [[inputs.intel_rdt]]

# ## Optionally set sampling interval to Nx100ms.

# ## This value is propagated to pqos tool. Interval format is defined by pqos itself.

# ## If not provided or provided 0, will be set to 10 = 10x100ms = 1s.

# # sampling_interval = "10"

#

# ## Optionally specify the path to pqos executable.

# ## If not provided, auto discovery will be performed.

# # pqos_path = "/usr/local/bin/pqos"

#

# ## Optionally specify if IPC and LLC_Misses metrics shouldn't be propagated.

# ## If not provided, default value is false.

# # shortened_metrics = false

#

# ## Specify the list of groups of CPU core(s) to be provided as pqos input.

# ## Mandatory if processes aren't set and forbidden if processes are specified.

# ## e.g. ["0-3", "4,5,6"] or ["1-3,4"]

# # cores = ["0-3"]

#

# ## Specify the list of processes for which Metrics will be collected.

# ## Mandatory if cores aren't set and forbidden if cores are specified.

# ## e.g. ["qemu", "pmd"]

# # processes = ["process"]

# # Read JTI OpenConfig Telemetry from listed sensors

# [[inputs.jti_openconfig_telemetry]]

# ## List of device addresses to collect telemetry from

# servers = ["localhost:1883"]

#

# ## Authentication details. Username and password are must if device expects

# ## authentication. Client ID must be unique when connecting from multiple instances

# ## of telegraf to the same device

# username = "user"

# password = "pass"

# client_id = "telegraf"

#

# ## Frequency to get data

# sample_frequency = "1000ms"

#

# ## Sensors to subscribe for

# ## A identifier for each sensor can be provided in path by separating with space

# ## Else sensor path will be used as identifier

# ## When identifier is used, we can provide a list of space separated sensors.

# ## A single subscription will be created with all these sensors and data will

# ## be saved to measurement with this identifier name

# sensors = [

# "/interfaces/",

# "collection /components/ /lldp",

# ]

#

# ## We allow specifying sensor group level reporting rate. To do this, specify the

# ## reporting rate in Duration at the beginning of sensor paths / collection

# ## name. For entries without reporting rate, we use configured sample frequency

# sensors = [

# "1000ms customReporting /interfaces /lldp",

# "2000ms collection /components",

# "/interfaces",

# ]

#

# ## Optional TLS Config

# # enable_tls = true

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## Delay between retry attempts of failed RPC calls or streams. Defaults to 1000ms.

# ## Failed streams/calls will not be retried if 0 is provided

# retry_delay = "1000ms"

#

# ## To treat all string values as tags, set this to true

# str_as_tags = false

# # Read metrics from Kafka topics

# [[inputs.kafka_consumer]]

# ## Kafka brokers.

# brokers = ["localhost:9092"]

#

# ## Topics to consume.

# topics = ["telegraf"]

#

# ## When set this tag will be added to all metrics with the topic as the value.

# # topic_tag = ""

#

# ## Optional Client id

# # client_id = "Telegraf"

#

# ## Set the minimal supported Kafka version. Setting this enables the use of new

# ## Kafka features and APIs. Must be 0.10.2.0 or greater.

# ## ex: version = "1.1.0"

# # version = ""

#

# ## Optional TLS Config

# # enable_tls = true

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## SASL authentication credentials. These settings should typically be used

# ## with TLS encryption enabled using the "enable_tls" option.

# # sasl_username = "kafka"

# # sasl_password = "secret"

#

# ## SASL protocol version. When connecting to Azure EventHub set to 0.

# # sasl_version = 1

#

# ## Name of the consumer group.

# # consumer_group = "telegraf_metrics_consumers"

#

# ## Initial offset position; one of "oldest" or "newest".

# # offset = "oldest"

#

# ## Consumer group partition assignment strategy; one of "range", "roundrobin" or "sticky".

# # balance_strategy = "range"

#

# ## Maximum length of a message to consume, in bytes (default 0/unlimited);

# ## larger messages are dropped

# max_message_len = 1000000

#

# ## Maximum messages to read from the broker that have not been written by an

# ## output. For best throughput set based on the number of metrics within

# ## each message and the size of the output's metric_batch_size.

# ##

# ## For example, if each message from the queue contains 10 metrics and the

# ## output metric_batch_size is 1000, setting this to 100 will ensure that a

# ## full batch is collected and the write is triggered immediately without

# ## waiting until the next flush_interval.

# # max_undelivered_messages = 1000

#

# ## Data format to consume.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# data_format = "influx"

# # Read metrics from Kafka topic(s)

# [[inputs.kafka_consumer_legacy]]

# ## topic(s) to consume

# topics = ["telegraf"]

#

# ## an array of Zookeeper connection strings

# zookeeper_peers = ["localhost:2181"]

#

# ## Zookeeper Chroot

# zookeeper_chroot = ""

#

# ## the name of the consumer group

# consumer_group = "telegraf_metrics_consumers"

#

# ## Offset (must be either "oldest" or "newest")

# offset = "oldest"

#

# ## Data format to consume.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# data_format = "influx"

#

# ## Maximum length of a message to consume, in bytes (default 0/unlimited);

# ## larger messages are dropped

# max_message_len = 65536

# # Configuration for the AWS Kinesis input.

# [[inputs.kinesis_consumer]]

# ## Amazon REGION of kinesis endpoint.

# region = "ap-southeast-2"

#

# ## Amazon Credentials

# ## Credentials are loaded in the following order

# ## 1) Assumed credentials via STS if role_arn is specified

# ## 2) explicit credentials from 'access_key' and 'secret_key'

# ## 3) shared profile from 'profile'

# ## 4) environment variables

# ## 5) shared credentials file

# ## 6) EC2 Instance Profile

# # access_key = ""

# # secret_key = ""

# # token = ""

# # role_arn = ""

# # profile = ""

# # shared_credential_file = ""

#

# ## Endpoint to make request against, the correct endpoint is automatically

# ## determined and this option should only be set if you wish to override the

# ## default.

# ## ex: endpoint_url = "http://localhost:8000"

# # endpoint_url = ""

#

# ## Kinesis StreamName must exist prior to starting telegraf.

# streamname = "StreamName"

#

# ## Shard iterator type (only 'TRIM_HORIZON' and 'LATEST' currently supported)

# # shard_iterator_type = "TRIM_HORIZON"

#

# ## Maximum messages to read from the broker that have not been written by an

# ## output. For best throughput set based on the number of metrics within

# ## each message and the size of the output's metric_batch_size.

# ##

# ## For example, if each message from the queue contains 10 metrics and the

# ## output metric_batch_size is 1000, setting this to 100 will ensure that a

# ## full batch is collected and the write is triggered immediately without

# ## waiting until the next flush_interval.

# # max_undelivered_messages = 1000

#

# ## Data format to consume.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# data_format = "influx"

#

# ## Optional

# ## Configuration for a dynamodb checkpoint

# [inputs.kinesis_consumer.checkpoint_dynamodb]

# ## unique name for this consumer

# app_name = "default"

# table_name = "default"

# # Read metrics off Arista LANZ, via socket

# [[inputs.lanz]]

# ## URL to Arista LANZ endpoint

# servers = [

# "tcp://127.0.0.1:50001"

# ]

# # Stream and parse log file(s).

# [[inputs.logparser]]

# ## Log files to parse.

# ## These accept standard unix glob matching rules, but with the addition of

# ## ** as a "super asterisk". ie:

# ## /var/log/**.log -> recursively find all .log files in /var/log

# ## /var/log/*/*.log -> find all .log files with a parent dir in /var/log

# ## /var/log/apache.log -> only tail the apache log file

# files = ["/var/log/apache/access.log"]

#

# ## Read files that currently exist from the beginning. Files that are created

# ## while telegraf is running (and that match the "files" globs) will always

# ## be read from the beginning.

# from_beginning = false

#

# ## Method used to watch for file updates. Can be either "inotify" or "poll".

# # watch_method = "inotify"

#

# ## Parse logstash-style "grok" patterns:

# [inputs.logparser.grok]

# ## This is a list of patterns to check the given log file(s) for.

# ## Note that adding patterns here increases processing time. The most

# ## efficient configuration is to have one pattern per logparser.

# ## Other common built-in patterns are:

# ## %{COMMON_LOG_FORMAT} (plain apache & nginx access logs)

# ## %{COMBINED_LOG_FORMAT} (access logs + referrer & agent)

# patterns = ["%{COMBINED_LOG_FORMAT}"]

#

# ## Name of the outputted measurement name.

# measurement = "apache_access_log"

#

# ## Full path(s) to custom pattern files.

# custom_pattern_files = []

#

# ## Custom patterns can also be defined here. Put one pattern per line.

# custom_patterns = '''

# '''

#

# ## Timezone allows you to provide an override for timestamps that

# ## don't already include an offset

# ## e.g. 04/06/2016 12:41:45 data one two 5.43µs

# ##

# ## Default: "" which renders UTC

# ## Options are as follows:

# ## 1. Local -- interpret based on machine localtime

# ## 2. "Canada/Eastern" -- Unix TZ values like those found in https://en.wikipedia.org/wiki/List_of_tz_database_time_zones

# ## 3. UTC -- or blank/unspecified, will return timestamp in UTC

# # timezone = "Canada/Eastern"

#

# ## When set to "disable", timestamp will not incremented if there is a

# ## duplicate.

# # unique_timestamp = "auto"

# # Read metrics from MQTT topic(s)

# [[inputs.mqtt_consumer]]

# ## Broker URLs for the MQTT server or cluster. To connect to multiple

# ## clusters or standalone servers, use a seperate plugin instance.

# ## example: servers = ["tcp://localhost:1883"]

# ## servers = ["ssl://localhost:1883"]

# ## servers = ["ws://localhost:1883"]

# servers = ["tcp://127.0.0.1:1883"]

#

# ## Topics that will be subscribed to.

# topics = [

# "telegraf/host01/cpu",

# "telegraf/+/mem",

# "sensors/#",

# ]

#

# ## The message topic will be stored in a tag specified by this value. If set

# ## to the empty string no topic tag will be created.

# # topic_tag = "topic"

#

# ## QoS policy for messages

# ## 0 = at most once

# ## 1 = at least once

# ## 2 = exactly once

# ##

# ## When using a QoS of 1 or 2, you should enable persistent_session to allow

# ## resuming unacknowledged messages.

# # qos = 0

#

# ## Connection timeout for initial connection in seconds

# # connection_timeout = "30s"

#

# ## Maximum messages to read from the broker that have not been written by an

# ## output. For best throughput set based on the number of metrics within

# ## each message and the size of the output's metric_batch_size.

# ##

# ## For example, if each message from the queue contains 10 metrics and the

# ## output metric_batch_size is 1000, setting this to 100 will ensure that a

# ## full batch is collected and the write is triggered immediately without

# ## waiting until the next flush_interval.

# # max_undelivered_messages = 1000

#

# ## Persistent session disables clearing of the client session on connection.

# ## In order for this option to work you must also set client_id to identify

# ## the client. To receive messages that arrived while the client is offline,

# ## also set the qos option to 1 or 2 and don't forget to also set the QoS when

# ## publishing.

# # persistent_session = false

#

# ## If unset, a random client ID will be generated.

# # client_id = ""

#

# ## Username and password to connect MQTT server.

# # username = "telegraf"

# # password = "metricsmetricsmetricsmetrics"

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## Data format to consume.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# data_format = "influx"

# # Read metrics from NATS subject(s)

# [[inputs.nats_consumer]]

# ## urls of NATS servers

# servers = ["nats://localhost:4222"]

#

# ## subject(s) to consume

# subjects = ["telegraf"]

#

# ## name a queue group

# queue_group = "telegraf_consumers"

#

# ## Optional credentials

# # username = ""

# # password = ""

#

# ## Optional NATS 2.0 and NATS NGS compatible user credentials

# # credentials = "/etc/telegraf/nats.creds"

#

# ## Use Transport Layer Security

# # secure = false

#

# ## Optional TLS Config

# # tls_ca = "/etc/telegraf/ca.pem"

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

#

# ## Sets the limits for pending msgs and bytes for each subscription

# ## These shouldn't need to be adjusted except in very high throughput scenarios

# # pending_message_limit = 65536

# # pending_bytes_limit = 67108864

#

# ## Maximum messages to read from the broker that have not been written by an

# ## output. For best throughput set based on the number of metrics within

# ## each message and the size of the output's metric_batch_size.

# ##

# ## For example, if each message from the queue contains 10 metrics and the

# ## output metric_batch_size is 1000, setting this to 100 will ensure that a

# ## full batch is collected and the write is triggered immediately without

# ## waiting until the next flush_interval.

# # max_undelivered_messages = 1000

#

# ## Data format to consume.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# data_format = "influx"

# # Read NSQ topic for metrics.

# [[inputs.nsq_consumer]]

# ## Server option still works but is deprecated, we just prepend it to the nsqd array.

# # server = "localhost:4150"

#

# ## An array representing the NSQD TCP HTTP Endpoints

# nsqd = ["localhost:4150"]

#

# ## An array representing the NSQLookupd HTTP Endpoints

# nsqlookupd = ["localhost:4161"]

# topic = "telegraf"

# channel = "consumer"

# max_in_flight = 100

#

# ## Maximum messages to read from the broker that have not been written by an

# ## output. For best throughput set based on the number of metrics within

# ## each message and the size of the output's metric_batch_size.

# ##

# ## For example, if each message from the queue contains 10 metrics and the

# ## output metric_batch_size is 1000, setting this to 100 will ensure that a

# ## full batch is collected and the write is triggered immediately without

# ## waiting until the next flush_interval.

# # max_undelivered_messages = 1000

#

# ## Data format to consume.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# data_format = "influx"

# # Read metrics from one or many pgbouncer servers

# [[inputs.pgbouncer]]

# ## specify address via a url matching:

# ## postgres://[pqgotest[:password]]@localhost[/dbname]\

# ## ?sslmode=[disable|verify-ca|verify-full]

# ## or a simple string:

# ## host=localhost user=pqgotest password=... sslmode=... dbname=app_production

# ##

# ## All connection parameters are optional.

# ##

# address = "host=localhost user=pgbouncer sslmode=disable"

# # Read metrics from one or many postgresql servers

# [[inputs.postgresql]]

# ## specify address via a url matching:

# ## postgres://[pqgotest[:password]]@localhost[/dbname]\

# ## ?sslmode=[disable|verify-ca|verify-full]

# ## or a simple string:

# ## host=localhost user=pqgotest password=... sslmode=... dbname=app_production

# ##

# ## All connection parameters are optional.

# ##

# ## Without the dbname parameter, the driver will default to a database

# ## with the same name as the user. This dbname is just for instantiating a

# ## connection with the server and doesn't restrict the databases we are trying

# ## to grab metrics for.

# ##

# address = "host=localhost user=postgres sslmode=disable"

# ## A custom name for the database that will be used as the "server" tag in the

# ## measurement output. If not specified, a default one generated from

# ## the connection address is used.

# # outputaddress = "db01"

#

# ## connection configuration.

# ## maxlifetime - specify the maximum lifetime of a connection.

# ## default is forever (0s)

# max_lifetime = "0s"

#

# ## A list of databases to explicitly ignore. If not specified, metrics for all

# ## databases are gathered. Do NOT use with the 'databases' option.

# # ignored_databases = ["postgres", "template0", "template1"]

#

# ## A list of databases to pull metrics about. If not specified, metrics for all

# ## databases are gathered. Do NOT use with the 'ignored_databases' option.

# # databases = ["app_production", "testing"]

# # Read metrics from one or many postgresql servers

# [[inputs.postgresql_extensible]]

# ## specify address via a url matching:

# ## postgres://[pqgotest[:password]]@localhost[/dbname]\

# ## ?sslmode=[disable|verify-ca|verify-full]

# ## or a simple string:

# ## host=localhost user=pqgotest password=... sslmode=... dbname=app_production

# #

# ## All connection parameters are optional. #

# ## Without the dbname parameter, the driver will default to a database

# ## with the same name as the user. This dbname is just for instantiating a

# ## connection with the server and doesn't restrict the databases we are trying

# ## to grab metrics for.

# #

# address = "host=localhost user=postgres sslmode=disable"

#

# ## connection configuration.

# ## maxlifetime - specify the maximum lifetime of a connection.

# ## default is forever (0s)

# max_lifetime = "0s"

#

# ## A list of databases to pull metrics about. If not specified, metrics for all

# ## databases are gathered.

# ## databases = ["app_production", "testing"]

# #

# ## A custom name for the database that will be used as the "server" tag in the

# ## measurement output. If not specified, a default one generated from

# ## the connection address is used.

# # outputaddress = "db01"

# #

# ## Define the toml config where the sql queries are stored

# ## New queries can be added, if the withdbname is set to true and there is no

# ## databases defined in the 'databases field', the sql query is ended by a

# ## 'is not null' in order to make the query succeed.

# ## Example :

# ## The sqlquery : "SELECT * FROM pg_stat_database where datname" become

# ## "SELECT * FROM pg_stat_database where datname IN ('postgres', 'pgbench')"

# ## because the databases variable was set to ['postgres', 'pgbench' ] and the

# ## withdbname was true. Be careful that if the withdbname is set to false you

# ## don't have to define the where clause (aka with the dbname) the tagvalue

# ## field is used to define custom tags (separated by commas)

# ## The optional "measurement" value can be used to override the default

# ## output measurement name ("postgresql").

# ##

# ## The script option can be used to specify the .sql file path.

# ## If script and sqlquery options specified at same time, sqlquery will be used

# ##

# ## Structure :

# ## [[inputs.postgresql_extensible.query]]

# ## sqlquery string

# ## version string

# ## withdbname boolean

# ## tagvalue string (comma separated)

# ## measurement string

# [[inputs.postgresql_extensible.query]]

# sqlquery="SELECT * FROM pg_stat_database"

# version=901

# withdbname=false

# tagvalue=""

# measurement=""

# [[inputs.postgresql_extensible.query]]

# sqlquery="SELECT * FROM pg_stat_bgwriter"

# version=901

# withdbname=false

# tagvalue="postgresql.stats"

# # Read metrics from one or many prometheus clients

# [[inputs.prometheus]]

# ## An array of urls to scrape metrics from.

# urls = ["http://localhost:9100/metrics"]

#

# ## Metric version controls the mapping from Prometheus metrics into

# ## Telegraf metrics. When using the prometheus_client output, use the same

# ## value in both plugins to ensure metrics are round-tripped without

# ## modification.

# ##

# ## example: metric_version = 1; deprecated in 1.13

# ## metric_version = 2; recommended version

# # metric_version = 1

#

# ## Url tag name (tag containing scrapped url. optional, default is "url")

# # url_tag = "scrapeUrl"

#

# ## An array of Kubernetes services to scrape metrics from.

# # kubernetes_services = ["http://my-service-dns.my-namespace:9100/metrics"]

#

# ## Kubernetes config file to create client from.

# # kube_config = "/path/to/kubernetes.config"

#

# ## Scrape Kubernetes pods for the following prometheus annotations:

# ## - prometheus.io/scrape: Enable scraping for this pod

# ## - prometheus.io/scheme: If the metrics endpoint is secured then you will need to

# ## set this to 'https' & most likely set the tls config.

# ## - prometheus.io/path: If the metrics path is not /metrics, define it with this annotation.

# ## - prometheus.io/port: If port is not 9102 use this annotation

# # monitor_kubernetes_pods = true

# ## Restricts Kubernetes monitoring to a single namespace

# ## ex: monitor_kubernetes_pods_namespace = "default"

# # monitor_kubernetes_pods_namespace = ""

# # label selector to target pods which have the label

# # kubernetes_label_selector = "env=dev,app=nginx"

# # field selector to target pods

# # eg. To scrape pods on a specific node

# # kubernetes_field_selector = "spec.nodeName=$HOSTNAME"

#

# ## Use bearer token for authorization. ('bearer_token' takes priority)

# # bearer_token = "/path/to/bearer/token"

# ## OR

# # bearer_token_string = "abc_123"

#

# ## HTTP Basic Authentication username and password. ('bearer_token' and

# ## 'bearer_token_string' take priority)

# # username = ""

# # password = ""

#

# ## Specify timeout duration for slower prometheus clients (default is 3s)

# # response_timeout = "3s"

#

# ## Optional TLS Config

# # tls_ca = /path/to/cafile

# # tls_cert = /path/to/certfile

# # tls_key = /path/to/keyfile

# ## Use TLS but skip chain & host verification

# # insecure_skip_verify = false

# # SFlow V5 Protocol Listener

# [[inputs.sflow]]

# ## Address to listen for sFlow packets.

# ## example: service_address = "udp://:6343"

# ## service_address = "udp4://:6343"

# ## service_address = "udp6://:6343"

# service_address = "udp://:6343"

#

# ## Set the size of the operating system's receive buffer.

# ## example: read_buffer_size = "64KiB"

# # read_buffer_size = ""

# # Receive SNMP traps

# [[inputs.snmp_trap]]

# ## Transport, local address, and port to listen on. Transport must

# ## be "udp://". Omit local address to listen on all interfaces.

# ## example: "udp://127.0.0.1:1234"

# ##

# ## Special permissions may be required to listen on a port less than

# ## 1024. See README.md for details

# ##

# # service_address = "udp://:162"

# ## Timeout running snmptranslate command

# # timeout = "5s"

# ## Snmp version, defaults to 2c

# # version = "2c"

# ## SNMPv3 authentication and encryption options.

# ##

# ## Security Name.

# # sec_name = "myuser"

# ## Authentication protocol; one of "MD5", "SHA" or "".

# # auth_protocol = "MD5"

# ## Authentication password.

# # auth_password = "pass"

# ## Security Level; one of "noAuthNoPriv", "authNoPriv", or "authPriv".

# # sec_level = "authNoPriv"

# ## Privacy protocol used for encrypted messages; one of "DES", "AES", "AES192", "AES192C", "AES256", "AES256C" or "".

# # priv_protocol = ""

# ## Privacy password used for encrypted messages.

# # priv_password = ""

# # Generic socket listener capable of handling multiple socket types.

# [[inputs.socket_listener]]

# ## URL to listen on

# # service_address = "tcp://:8094"

# # service_address = "tcp://127.0.0.1:http"

# # service_address = "tcp4://:8094"

# # service_address = "tcp6://:8094"

# # service_address = "tcp6://[2001:db8::1]:8094"

# # service_address = "udp://:8094"

# # service_address = "udp4://:8094"

# # service_address = "udp6://:8094"

# # service_address = "unix:///tmp/telegraf.sock"

# # service_address = "unixgram:///tmp/telegraf.sock"

#

# ## Change the file mode bits on unix sockets. These permissions may not be

# ## respected by some platforms, to safely restrict write permissions it is best

# ## to place the socket into a directory that has previously been created

# ## with the desired permissions.

# ## ex: socket_mode = "777"

# # socket_mode = ""

#

# ## Maximum number of concurrent connections.

# ## Only applies to stream sockets (e.g. TCP).

# ## 0 (default) is unlimited.

# # max_connections = 1024

#

# ## Read timeout.

# ## Only applies to stream sockets (e.g. TCP).

# ## 0 (default) is unlimited.

# # read_timeout = "30s"

#

# ## Optional TLS configuration.

# ## Only applies to stream sockets (e.g. TCP).

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

# ## Enables client authentication if set.

# # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]

#

# ## Maximum socket buffer size (in bytes when no unit specified).

# ## For stream sockets, once the buffer fills up, the sender will start backing up.

# ## For datagram sockets, once the buffer fills up, metrics will start dropping.

# ## Defaults to the OS default.

# # read_buffer_size = "64KiB"

#

# ## Period between keep alive probes.

# ## Only applies to TCP sockets.

# ## 0 disables keep alive probes.

# ## Defaults to the OS configuration.

# # keep_alive_period = "5m"

#

# ## Data format to consume.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# # data_format = "influx"

#

# ## Content encoding for message payloads, can be set to "gzip" to or

# ## "identity" to apply no encoding.

# # content_encoding = "identity"

# # Statsd UDP/TCP Server

# [[inputs.statsd]]

# ## Protocol, must be "tcp", "udp", "udp4" or "udp6" (default=udp)

# protocol = "udp"

#

# ## MaxTCPConnection - applicable when protocol is set to tcp (default=250)

# max_tcp_connections = 250

#

# ## Enable TCP keep alive probes (default=false)

# tcp_keep_alive = false

#

# ## Specifies the keep-alive period for an active network connection.

# ## Only applies to TCP sockets and will be ignored if tcp_keep_alive is false.

# ## Defaults to the OS configuration.

# # tcp_keep_alive_period = "2h"

#

# ## Address and port to host UDP listener on

# service_address = ":8125"

#

# ## The following configuration options control when telegraf clears it's cache

# ## of previous values. If set to false, then telegraf will only clear it's

# ## cache when the daemon is restarted.

# ## Reset gauges every interval (default=true)

# delete_gauges = true

# ## Reset counters every interval (default=true)

# delete_counters = true

# ## Reset sets every interval (default=true)

# delete_sets = true

# ## Reset timings & histograms every interval (default=true)

# delete_timings = true

#

# ## Percentiles to calculate for timing & histogram stats

# percentiles = [50.0, 90.0, 99.0, 99.9, 99.95, 100.0]

#

# ## separator to use between elements of a statsd metric

# metric_separator = "_"

#

# ## Parses tags in the datadog statsd format

# ## http://docs.datadoghq.com/guides/dogstatsd/

# parse_data_dog_tags = false

#

# ## Parses datadog extensions to the statsd format

# datadog_extensions = false

#

# ## Statsd data translation templates, more info can be read here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/TEMPLATE_PATTERN.md

# # templates = [

# # "cpu.* measurement*"

# # ]

#

# ## Number of UDP messages allowed to queue up, once filled,

# ## the statsd server will start dropping packets

# allowed_pending_messages = 10000

#

# ## Number of timing/histogram values to track per-measurement in the

# ## calculation of percentiles. Raising this limit increases the accuracy

# ## of percentiles but also increases the memory usage and cpu time.

# percentile_limit = 1000

# # Suricata stats plugin

# [[inputs.suricata]]

# ## Data sink for Suricata stats log

# # This is expected to be a filename of a

# # unix socket to be created for listening.

# source = "/var/run/suricata-stats.sock"

#

# # Delimiter for flattening field keys, e.g. subitem "alert" of "detect"

# # becomes "detect_alert" when delimiter is "_".

# delimiter = "_"

# # Accepts syslog messages following RFC5424 format with transports as per RFC5426, RFC5425, or RFC6587

# [[inputs.syslog]]

# ## Specify an ip or hostname with port - eg., tcp://localhost:6514, tcp://10.0.0.1:6514

# ## Protocol, address and port to host the syslog receiver.

# ## If no host is specified, then localhost is used.

# ## If no port is specified, 6514 is used (RFC5425#section-4.1).

# server = "tcp://:6514"

#

# ## TLS Config

# # tls_allowed_cacerts = ["/etc/telegraf/ca.pem"]

# # tls_cert = "/etc/telegraf/cert.pem"

# # tls_key = "/etc/telegraf/key.pem"

#

# ## Period between keep alive probes.

# ## 0 disables keep alive probes.

# ## Defaults to the OS configuration.

# ## Only applies to stream sockets (e.g. TCP).

# # keep_alive_period = "5m"

#

# ## Maximum number of concurrent connections (default = 0).

# ## 0 means unlimited.

# ## Only applies to stream sockets (e.g. TCP).

# # max_connections = 1024

#

# ## Read timeout is the maximum time allowed for reading a single message (default = 5s).

# ## 0 means unlimited.

# # read_timeout = "5s"

#

# ## The framing technique with which it is expected that messages are transported (default = "octet-counting").

# ## Whether the messages come using the octect-counting (RFC5425#section-4.3.1, RFC6587#section-3.4.1),

# ## or the non-transparent framing technique (RFC6587#section-3.4.2).

# ## Must be one of "octet-counting", "non-transparent".

# # framing = "octet-counting"

#

# ## The trailer to be expected in case of non-transparent framing (default = "LF").

# ## Must be one of "LF", or "NUL".

# # trailer = "LF"

#

# ## Whether to parse in best effort mode or not (default = false).

# ## By default best effort parsing is off.

# # best_effort = false

#

# ## Character to prepend to SD-PARAMs (default = "_").

# ## A syslog message can contain multiple parameters and multiple identifiers within structured data section.

# ## Eg., [id1 name1="val1" name2="val2"][id2 name1="val1" nameA="valA"]

# ## For each combination a field is created.

# ## Its name is created concatenating identifier, sdparam_separator, and parameter name.

# # sdparam_separator = "_"

# # Parse the new lines appended to a file

# [[inputs.tail]]

# ## File names or a pattern to tail.

# ## These accept standard unix glob matching rules, but with the addition of

# ## ** as a "super asterisk". ie:

# ## "/var/log/**.log" -> recursively find all .log files in /var/log

# ## "/var/log/*/*.log" -> find all .log files with a parent dir in /var/log

# ## "/var/log/apache.log" -> just tail the apache log file

# ##

# ## See https://github.com/gobwas/glob for more examples

# ##

# files = ["/var/mymetrics.out"]

#

# ## Read file from beginning.

# # from_beginning = false

#

# ## Whether file is a named pipe

# # pipe = false

#

# ## Method used to watch for file updates. Can be either "inotify" or "poll".

# # watch_method = "inotify"

#

# ## Maximum lines of the file to process that have not yet be written by the

# ## output. For best throughput set based on the number of metrics on each

# ## line and the size of the output's metric_batch_size.

# # max_undelivered_lines = 1000

#

# ## Character encoding to use when interpreting the file contents. Invalid

# ## characters are replaced using the unicode replacement character. When set

# ## to the empty string the data is not decoded to text.

# ## ex: character_encoding = "utf-8"

# ## character_encoding = "utf-16le"

# ## character_encoding = "utf-16be"

# ## character_encoding = ""

# # character_encoding = ""

#

# ## Data format to consume.

# ## Each data format has its own unique set of configuration options, read

# ## more about them here:

# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md

# data_format = "influx"

#

# ## multiline parser/codec

# ## https://www.elastic.co/guide/en/logstash/2.4/plugins-filters-multiline.html

# #[inputs.tail.multiline]

# ## The pattern should be a regexp which matches what you believe to be an

# ## indicator that the field is part of an event consisting of multiple lines of log data.

# #pattern = "^\s"

#

# ## This field must be either "previous" or "next".

# ## If a line matches the pattern, "previous" indicates that it belongs to the previous line,

# ## whereas "next" indicates that the line belongs to the next one.

# #match_which_line = "previous"

#

# ## The invert_match field can be true or false (defaults to false).

# ## If true, a message not matching the pattern will constitute a match of the multiline

# ## filter and the what will be applied. (vice-versa is also true)

# #invert_match = false

#

# ## After the specified timeout, this plugin sends a multiline event even if no new pattern

# ## is found to start a new event. The default timeout is 5s.

# #timeout = 5s

# # Generic TCP listener

# [[inputs.tcp_listener]]

# # DEPRECATED: the TCP listener plugin has been deprecated in favor of the

# # socket_listener plugin

# # see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/socket_listener

# # Generic UDP listener

# [[inputs.udp_listener]]

# # DEPRECATED: the TCP listener plugin has been deprecated in favor of the

# # socket_listener plugin

# # see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/socket_listener

# # Read metrics from VMware vCenter

# [[inputs.vsphere]]

# ## List of vCenter URLs to be monitored. These three lines must be uncommented

# ## and edited for the plugin to work.

# vcenters = [ "https://vcenter.local/sdk" ]

# username = "[email protected]"

# password = "secret"

#

# ## VMs

# ## Typical VM metrics (if omitted or empty, all metrics are collected)

# # vm_include = [ "/*/vm/**"] # Inventory path to VMs to collect (by default all are collected)

# # vm_exclude = [] # Inventory paths to exclude

# vm_metric_include = [

# "cpu.demand.average",

# "cpu.idle.summation",

# "cpu.latency.average",

# "cpu.readiness.average",

# "cpu.ready.summation",

# "cpu.run.summation",

# "cpu.usagemhz.average",

# "cpu.used.summation",

# "cpu.wait.summation",

# "mem.active.average",

# "mem.granted.average",

# "mem.latency.average",

# "mem.swapin.average",

# "mem.swapinRate.average",

# "mem.swapout.average",

# "mem.swapoutRate.average",

# "mem.usage.average",

# "mem.vmmemctl.average",

# "net.bytesRx.average",

# "net.bytesTx.average",

# "net.droppedRx.summation",

# "net.droppedTx.summation",

# "net.usage.average",

# "power.power.average",

# "virtualDisk.numberReadAveraged.average",

# "virtualDisk.numberWriteAveraged.average",

# "virtualDisk.read.average",

# "virtualDisk.readOIO.latest",

# "virtualDisk.throughput.usage.average",

# "virtualDisk.totalReadLatency.average",

# "virtualDisk.totalWriteLatency.average",

# "virtualDisk.write.average",

# "virtualDisk.writeOIO.latest",

# "sys.uptime.latest",

# ]

# # vm_metric_exclude = [] ## Nothing is excluded by default

# # vm_instances = true ## true by default

#

# ## Hosts

# ## Typical host metrics (if omitted or empty, all metrics are collected)

# # host_include = [ "/*/host/**"] # Inventory path to hosts to collect (by default all are collected)

# # host_exclude [] # Inventory paths to exclude

# host_metric_include = [

# "cpu.coreUtilization.average",

# "cpu.costop.summation",

# "cpu.demand.average",

# "cpu.idle.summation",

# "cpu.latency.average",

# "cpu.readiness.average",

# "cpu.ready.summation",

# "cpu.swapwait.summation",

# "cpu.usage.average",

# "cpu.usagemhz.average",

# "cpu.used.summation",

# "cpu.utilization.average",

# "cpu.wait.summation",

# "disk.deviceReadLatency.average",

# "disk.deviceWriteLatency.average",

# "disk.kernelReadLatency.average",

# "disk.kernelWriteLatency.average",

# "disk.numberReadAveraged.average",

# "disk.numberWriteAveraged.average",

# "disk.read.average",

# "disk.totalReadLatency.average",

# "disk.totalWriteLatency.average",

# "disk.write.average",

# "mem.active.average",

# "mem.latency.average",

# "mem.state.latest",

# "mem.swapin.average",

# "mem.swapinRate.average",

# "mem.swapout.average",

# "mem.swapoutRate.average",

# "mem.totalCapacity.average",

# "mem.usage.average",

# "mem.vmmemctl.average",

# "net.bytesRx.average",

# "net.bytesTx.average",

# "net.droppedRx.summation",

# "net.droppedTx.summation",

# "net.errorsRx.summation",

# "net.errorsTx.summation",

# "net.usage.average",

# "power.power.average",

# "storageAdapter.numberReadAveraged.average",

# "storageAdapter.numberWriteAveraged.average",

# "storageAdapter.read.average",

# "storageAdapter.write.average",

# "sys.uptime.latest",

# ]

# ## Collect IP addresses? Valid values are "ipv4" and "ipv6"

# # ip_addresses = ["ipv6", "ipv4" ]

#

# # host_metric_exclude = [] ## Nothing excluded by default

# # host_instances = true ## true by default

#

#

# ## Clusters

# # cluster_include = [ "/*/host/**"] # Inventory path to clusters to collect (by default all are collected)

# # cluster_exclude = [] # Inventory paths to exclude

# # cluster_metric_include = [] ## if omitted or empty, all metrics are collected

# # cluster_metric_exclude = [] ## Nothing excluded by default

# # cluster_instances = false ## false by default

#

# ## Datastores

# # datastore_include = [ "/*/datastore/**"] # Inventory path to datastores to collect (by default all are collected)

# # datastore_exclude = [] # Inventory paths to exclude

# # datastore_metric_include = [] ## if omitted or empty, all metrics are collected

# # datastore_metric_exclude = [] ## Nothing excluded by default

# # datastore_instances = false ## false by default

#

# ## Datacenters

# # datacenter_include = [ "/*/host/**"] # Inventory path to clusters to collect (by default all are collected)

# # datacenter_exclude = [] # Inventory paths to exclude

# datacenter_metric_include = [] ## if omitted or empty, all metrics are collected

# datacenter_metric_exclude = [ "*" ] ## Datacenters are not collected by default.

# # datacenter_instances = false ## false by default

#

# ## Plugin Settings

# ## separator character to use for measurement and field names (default: "_")

# # separator = "_"

#

# ## number of objects to retrieve per query for realtime resources (vms and hosts)

# ## set to 64 for vCenter 5.5 and 6.0 (default: 256)

# # max_query_objects = 256

#

# ## number of metrics to retrieve per query for non-realtime resources (clusters and datastores)

# ## set to 64 for vCenter 5.5 and 6.0 (default: 256)

# # max_query_metrics = 256

#

# ## number of go routines to use for collection and discovery of objects and metrics

# # collect_concurrency = 1

# # discover_concurrency = 1

#

# ## the interval before (re)discovering objects subject to metrics collection (default: 300s)

# # object_discovery_interval = "300s"

#

# ## timeout applies to any of the api request made to vcenter

# # timeout = "60s"

#

# ## When set to true, all samples are sent as integers. This makes the output

# ## data types backwards compatible with Telegraf 1.9 or lower. Normally all

# ## samples from vCenter, with the exception of percentages, are integer

# ## values, but under some conditions, some averaging takes place internally in

# ## the plugin. Setting this flag to "false" will send values as floats to

# ## preserve the full precision when averaging takes place.

# # use_int_samples = true

#

# ## Custom attributes from vCenter can be very useful for queries in order to slice the

# ## metrics along different dimension and for forming ad-hoc relationships. They are disabled

# ## by default, since they can add a considerable amount of tags to the resulting metrics. To

# ## enable, simply set custom_attribute_exclude to [] (empty set) and use custom_attribute_include

# ## to select the attributes you want to include.

# ## By default, since they can add a considerable amount of tags to the resulting metrics. To

# ## enable, simply set custom_attribute_exclude to [] (empty set) and use custom_attribute_include

# ## to select the attributes you want to include.

# # custom_attribute_include = []

# # custom_attribute_exclude = ["*"]

#

# ## Optional SSL Config

# # ssl_ca = "/path/to/cafile"

# # ssl_cert = "/path/to/certfile"

# # ssl_key = "/path/to/keyfile"

# ## Use SSL but skip chain & host verification

# # insecure_skip_verify = false

# # A Webhooks Event collector

# [[inputs.webhooks]]

# ## Address and port to host Webhook listener on

# service_address = ":1619"

#

# [inputs.webhooks.filestack]

# path = "/filestack"

#

# [inputs.webhooks.github]

# path = "/github"

# # secret = ""

#

# [inputs.webhooks.mandrill]

# path = "/mandrill"

#

# [inputs.webhooks.rollbar]

# path = "/rollbar"

#

# [inputs.webhooks.papertrail]

# path = "/papertrail"

#

# [inputs.webhooks.particle]

# path = "/particle"

# # This plugin implements the Zipkin http server to gather trace and timing data needed to troubleshoot latency problems in microservice architectures.

# [[inputs.zipkin]]

# # path = "/api/v1/spans" # URL path for span data

# # port = 9411 # Port on which Telegraf listens

Author

Title

Language

Your paste - Paste your paste here

# Telegraf Configuration
#
# Telegraf is entirely plugin driven. All metrics are gathered from the
# declared inputs, and sent to the declared outputs.
#
# Plugins must be declared in here to be active.
# To deactivate a plugin, comment out the name and any variables.
#
# Use 'telegraf -config telegraf.conf -test' to see what metrics a config
# file would generate.
#
# Environment variables can be used anywhere in this config file, simply surround
# them with ${}. For strings the variable must be within quotes (ie, &quot;${STR_VAR}&quot;),
# for numbers and booleans they should be plain (ie, ${INT_VAR}, ${BOOL_VAR})

# Global tags can be specified here in key=&quot;value&quot; format.
[global_tags]
  # dc = &quot;us-east-1&quot; # will tag all metrics with dc=us-east-1
  # rack = &quot;1a&quot;
  ## Environment variables can be used as tags, and throughout the config file
  # user = &quot;$USER&quot;

# Configuration for telegraf agent
[agent]
  ## Default data collection interval for all inputs
  interval = &quot;5s&quot;
  ## Rounds collection interval to 'interval'
  ## ie, if interval=&quot;10s&quot; then always collect on :00, :10, :20, etc.
  round_interval = true

## Telegraf will send metrics to outputs in batches of at most
  ## metric_batch_size metrics.
  ## This controls the size of writes that Telegraf sends to output plugins.
  metric_batch_size = 1000

## Maximum number of unwritten metrics per output.  Increasing this value
  ## allows for longer periods of output downtime without dropping metrics at the
  ## cost of higher maximum memory usage.
  metric_buffer_limit = 10000

## Collection jitter is used to jitter the collection by a random amount.
  ## Each plugin will sleep for a random time within jitter before collecting.
  ## This can be used to avoid many plugins querying things like sysfs at the
  ## same time, which can have a measurable effect on the system.
  collection_jitter = &quot;1s&quot;

## Default flushing interval for all outputs. Maximum flush_interval will be
  ## flush_interval + flush_jitter
  flush_interval = &quot;5s&quot;
  ## Jitter the flush interval by a random amount. This is primarily to avoid
  ## large write spikes for users running a large number of telegraf instances.
  ## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s
  flush_jitter = &quot;0s&quot;

## By default or when set to &quot;0s&quot;, precision will be set to the same
  ## timestamp order as the collection interval, with the maximum being 1s.
  ##   ie, when interval = &quot;10s&quot;, precision will be &quot;1s&quot;
  ##       when interval = &quot;250ms&quot;, precision will be &quot;1ms&quot;
  ## Precision will NOT be used for service inputs. It is up to each individual
  ## service input to set the timestamp at the appropriate precision.
  ## Valid time units are &quot;ns&quot;, &quot;us&quot; (or &quot;µs&quot;), &quot;ms&quot;, &quot;s&quot;.
  precision = &quot;&quot;

## Log at debug level.
  debug = true
  ## Log only error level messages.
  # quiet = false

## Log target controls the destination for logs and can be one of &quot;file&quot;,
  ## &quot;stderr&quot; or, on Windows, &quot;eventlog&quot;.  When set to &quot;file&quot;, the output file
  ## is determined by the &quot;logfile&quot; setting.
  logtarget = &quot;file&quot;

## Name of the file to be logged to when using the &quot;file&quot; logtarget.  If set to
  ## the empty string then logs are written to stderr.
  #logfile = &quot;&quot;
  logfile = &quot;/var/log/telegraf/telegraf.log&quot;

## The logfile will be rotated after the time interval specified.  When set
  ## to 0 no time based rotation is performed.  Logs are rotated only when
  ## written to, if there is no log activity rotation may be delayed.
  # logfile_rotation_interval = &quot;0d&quot;

## The logfile will be rotated when it becomes larger than the specified
  ## size.  When set to 0 no size based rotation is performed.
  # logfile_rotation_max_size = &quot;0MB&quot;

## Maximum number of rotated archives to keep, any older logs are deleted.
  ## If set to -1, no archives are removed.
  # logfile_rotation_max_archives = 5

## Override default hostname, if empty use os.Hostname()
  hostname = &quot;&quot;
  ## If set to true, do no set the &quot;host&quot; tag in the telegraf agent.
  omit_hostname = false

###############################################################################
#                            OUTPUT PLUGINS                                   #
###############################################################################

# Configuration for sending metrics to InfluxDB
[[outputs.influxdb]]
  ## The full HTTP or UDP URL for your InfluxDB instance.
  ##
  ## Multiple URLs can be specified for a single cluster, only ONE of the
  ## urls will be written to each interval.
  # urls = [&quot;unix:///var/run/influxdb.sock&quot;]
  # urls = [&quot;udp://127.0.0.1:8089&quot;]
 urls = [&quot;http://127.0.0.1:8086&quot;]

## The target database for metrics; will be created as needed.
  ## For UDP url endpoint database needs to be configured on server side.
 database = &quot;telegraf&quot;

## The value of this tag will be used to determine the database.  If this
  ## tag is not set the 'database' option is used as the default.
  # database_tag = &quot;&quot;

## If true, the 'database_tag' will not be included in the written metric.
  # exclude_database_tag = false

## If true, no CREATE DATABASE queries will be sent.  Set to true when using
  ## Telegraf with a user without permissions to create databases or when the
  ## database already exists.
  # skip_database_creation = false

## Name of existing retention policy to write to.  Empty string writes to
  ## the default retention policy.  Only takes effect when using HTTP.
  # retention_policy = &quot;&quot;

## The value of this tag will be used to determine the retention policy.  If this
  ## tag is not set the 'retention_policy' option is used as the default.
  # retention_policy_tag = &quot;&quot;

## If true, the 'retention_policy_tag' will not be included in the written metric.
  # exclude_retention_policy_tag = false

## Write consistency (clusters only), can be: &quot;any&quot;, &quot;one&quot;, &quot;quorum&quot;, &quot;all&quot;.
  ## Only takes effect when using HTTP.
  # write_consistency = &quot;any&quot;

## Timeout for HTTP messages.
  # timeout = &quot;5s&quot;

## HTTP Basic Auth
  username = &quot;telegraf&quot;
  # password = &quot;metricsmetricsmetricsmetrics&quot;

## HTTP User-Agent
  # user_agent = &quot;telegraf&quot;

## UDP payload size is the maximum packet size to send.
  # udp_payload = &quot;512B&quot;

## Optional TLS Config for use on HTTP connections.
  # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
  # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
  # tls_key = &quot;/etc/telegraf/key.pem&quot;
  ## Use TLS but skip chain &amp; host verification
  # insecure_skip_verify = false

## HTTP Proxy override, if unset values the standard proxy environment
  ## variables are consulted to determine which proxy, if any, should be used.
  # http_proxy = &quot;http://corporate.proxy:3128&quot;

## Additional HTTP headers
  # http_headers = {&quot;X-Special-Header&quot; = &quot;Special-Value&quot;}

## HTTP Content-Encoding for write request body, can be set to &quot;gzip&quot; to
  ## compress body or &quot;identity&quot; to apply no encoding.
  # content_encoding = &quot;gzip&quot;

## When true, Telegraf will output unsigned integers as unsigned values,
  ## i.e.: &quot;42u&quot;.  You will need a version of InfluxDB supporting unsigned
  ## integer values.  Enabling this option will result in field type errors if
  ## existing data has been written.
  # influx_uint_support = false

# # Configuration for Amon Server to send metrics to.
# [[outputs.amon]]
#   ## Amon Server Key
#   server_key = &quot;my-server-key&quot; # required.
#
#   ## Amon Instance URL
#   amon_instance = &quot;https://youramoninstance&quot; # required
#
#   ## Connection timeout.
#   # timeout = &quot;5s&quot;

# # Publishes metrics to an AMQP broker
# [[outputs.amqp]]
#   ## Broker to publish to.
#   ##   deprecated in 1.7; use the brokers option
#   # url = &quot;amqp://localhost:5672/influxdb&quot;
#
#   ## Brokers to publish to.  If multiple brokers are specified a random broker
#   ## will be selected anytime a connection is established.  This can be
#   ## helpful for load balancing when not using a dedicated load balancer.
#   brokers = [&quot;amqp://localhost:5672/influxdb&quot;]
#
#   ## Maximum messages to send over a connection.  Once this is reached, the
#   ## connection is closed and a new connection is made.  This can be helpful for
#   ## load balancing when not using a dedicated load balancer.
#   # max_messages = 0
#
#   ## Exchange to declare and publish to.
#   exchange = &quot;telegraf&quot;
#
#   ## Exchange type; common types are &quot;direct&quot;, &quot;fanout&quot;, &quot;topic&quot;, &quot;header&quot;, &quot;x-consistent-hash&quot;.
#   # exchange_type = &quot;topic&quot;
#
#   ## If true, exchange will be passively declared.
#   # exchange_passive = false
#
#   ## Exchange durability can be either &quot;transient&quot; or &quot;durable&quot;.
#   # exchange_durability = &quot;durable&quot;
#
#   ## Additional exchange arguments.
#   # exchange_arguments = { }
#   # exchange_arguments = {&quot;hash_property&quot; = &quot;timestamp&quot;}
#
#   ## Authentication credentials for the PLAIN auth_method.
#   # username = &quot;&quot;
#   # password = &quot;&quot;
#
#   ## Auth method. PLAIN and EXTERNAL are supported
#   ## Using EXTERNAL requires enabling the rabbitmq_auth_mechanism_ssl plugin as
#   ## described here: https://www.rabbitmq.com/plugins.html
#   # auth_method = &quot;PLAIN&quot;
#
#   ## Metric tag to use as a routing key.
#   ##   ie, if this tag exists, its value will be used as the routing key
#   # routing_tag = &quot;host&quot;
#
#   ## Static routing key.  Used when no routing_tag is set or as a fallback
#   ## when the tag specified in routing tag is not found.
#   # routing_key = &quot;&quot;
#   # routing_key = &quot;telegraf&quot;
#
#   ## Delivery Mode controls if a published message is persistent.
#   ##   One of &quot;transient&quot; or &quot;persistent&quot;.
#   # delivery_mode = &quot;transient&quot;
#
#   ## InfluxDB database added as a message header.
#   ##   deprecated in 1.7; use the headers option
#   # database = &quot;telegraf&quot;
#
#   ## InfluxDB retention policy added as a message header
#   ##   deprecated in 1.7; use the headers option
#   # retention_policy = &quot;default&quot;
#
#   ## Static headers added to each published message.
#   # headers = { }
#   # headers = {&quot;database&quot; = &quot;telegraf&quot;, &quot;retention_policy&quot; = &quot;default&quot;}
#
#   ## Connection timeout.  If not provided, will default to 5s.  0s means no
#   ## timeout (not recommended).
#   # timeout = &quot;5s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## If true use batch serialization format instead of line based delimiting.
#   ## Only applies to data formats which are not line based such as JSON.
#   ## Recommended to set to true.
#   # use_batch_format = false
#
#   ## Content encoding for message payloads, can be set to &quot;gzip&quot; to or
#   ## &quot;identity&quot; to apply no encoding.
#   ##
#   ## Please note that when use_batch_format = false each amqp message contains only
#   ## a single metric, it is recommended to use compression with batch format
#   ## for best results.
#   # content_encoding = &quot;identity&quot;
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   # data_format = &quot;influx&quot;

# # Send metrics to Azure Application Insights
# [[outputs.application_insights]]
#   ## Instrumentation key of the Application Insights resource.
#   instrumentation_key = &quot;xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxx&quot;
#
#   ## Regions that require endpoint modification https://docs.microsoft.com/en-us/azure/azure-monitor/app/custom-endpoints
#   # endpoint_url = &quot;https://dc.services.visualstudio.com/v2/track&quot;
#
#   ## Timeout for closing (default: 5s).
#   # timeout = &quot;5s&quot;
#
#   ## Enable additional diagnostic logging.
#   # enable_diagnostic_logging = false
#
#   ## Context Tag Sources add Application Insights context tags to a tag value.
#   ##
#   ## For list of allowed context tag keys see:
#   ## https://github.com/Microsoft/ApplicationInsights-Go/blob/master/appinsights/contracts/contexttagkeys.go
#   # [outputs.application_insights.context_tag_sources]
#   #   &quot;ai.cloud.role&quot; = &quot;kubernetes_container_name&quot;
#   #   &quot;ai.cloud.roleInstance&quot; = &quot;kubernetes_pod_name&quot;

# # Send aggregate metrics to Azure Monitor
# [[outputs.azure_monitor]]
#   ## Timeout for HTTP writes.
#   # timeout = &quot;20s&quot;
#
#   ## Set the namespace prefix, defaults to &quot;Telegraf/&lt;input-name&gt;&quot;.
#   # namespace_prefix = &quot;Telegraf/&quot;
#
#   ## Azure Monitor doesn't have a string value type, so convert string
#   ## fields to dimensions (a.k.a. tags) if enabled. Azure Monitor allows
#   ## a maximum of 10 dimensions so Telegraf will only send the first 10
#   ## alphanumeric dimensions.
#   # strings_as_dimensions = false
#
#   ## Both region and resource_id must be set or be available via the
#   ## Instance Metadata service on Azure Virtual Machines.
#   #
#   ## Azure Region to publish metrics against.
#   ##   ex: region = &quot;southcentralus&quot;
#   # region = &quot;&quot;
#   #
#   ## The Azure Resource ID against which metric will be logged, e.g.
#   ##   ex: resource_id = &quot;/subscriptions/&lt;subscription_id&gt;/resourceGroups/&lt;resource_group&gt;/providers/Microsoft.Compute/virtualMachines/&lt;vm_name&gt;&quot;
#   # resource_id = &quot;&quot;
#
#   ## Optionally, if in Azure US Government, China or other sovereign
#   ## cloud environment, set appropriate REST endpoint for receiving
#   ## metrics. (Note: region may be unused in this context)
#   # endpoint_url = &quot;https://monitoring.core.usgovcloudapi.net&quot;

# # Publish Telegraf metrics to a Google Cloud PubSub topic
# [[outputs.cloud_pubsub]]
#   ## Required. Name of Google Cloud Platform (GCP) Project that owns
#   ## the given PubSub topic.
#   project = &quot;my-project&quot;
#
#   ## Required. Name of PubSub topic to publish metrics to.
#   topic = &quot;my-topic&quot;
#
#   ## Required. Data format to consume.
#   ## Each data format has its own unique set of configuration options.
#   ## Read more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = &quot;influx&quot;
#
#   ## Optional. Filepath for GCP credentials JSON file to authorize calls to
#   ## PubSub APIs. If not set explicitly, Telegraf will attempt to use
#   ## Application Default Credentials, which is preferred.
#   # credentials_file = &quot;path/to/my/creds.json&quot;
#
#   ## Optional. If true, will send all metrics per write in one PubSub message.
#   # send_batched = true
#
#   ## The following publish_* parameters specifically configures batching
#   ## requests made to the GCP Cloud PubSub API via the PubSub Golang library. Read
#   ## more here: https://godoc.org/cloud.google.com/go/pubsub#PublishSettings
#
#   ## Optional. Send a request to PubSub (i.e. actually publish a batch)
#   ## when it has this many PubSub messages. If send_batched is true,
#   ## this is ignored and treated as if it were 1.
#   # publish_count_threshold = 1000
#
#   ## Optional. Send a request to PubSub (i.e. actually publish a batch)
#   ## when it has this many PubSub messages. If send_batched is true,
#   ## this is ignored and treated as if it were 1
#   # publish_byte_threshold = 1000000
#
#   ## Optional. Specifically configures requests made to the PubSub API.
#   # publish_num_go_routines = 2
#
#   ## Optional. Specifies a timeout for requests to the PubSub API.
#   # publish_timeout = &quot;30s&quot;
#
#   ## Optional. If true, published PubSub message data will be base64-encoded.
#   # base64_data = false
#
#   ## Optional. PubSub attributes to add to metrics.
#   # [outputs.cloud_pubsub.attributes]
#   #   my_attr = &quot;tag_value&quot;

# # Configuration for AWS CloudWatch output.
# [[outputs.cloudwatch]]
#   ## Amazon REGION
#   region = &quot;us-east-1&quot;
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order
#   ## 1) Assumed credentials via STS if role_arn is specified
#   ## 2) explicit credentials from 'access_key' and 'secret_key'
#   ## 3) shared profile from 'profile'
#   ## 4) environment variables
#   ## 5) shared credentials file
#   ## 6) EC2 Instance Profile
#   #access_key = &quot;&quot;
#   #secret_key = &quot;&quot;
#   #token = &quot;&quot;
#   #role_arn = &quot;&quot;
#   #profile = &quot;&quot;
#   #shared_credential_file = &quot;&quot;
#
#   ## Endpoint to make request against, the correct endpoint is automatically
#   ## determined and this option should only be set if you wish to override the
#   ## default.
#   ##   ex: endpoint_url = &quot;http://localhost:8000&quot;
#   # endpoint_url = &quot;&quot;
#
#   ## Namespace for the CloudWatch MetricDatums
#   namespace = &quot;InfluxData/Telegraf&quot;
#
#   ## If you have a large amount of metrics, you should consider to send statistic
#   ## values instead of raw metrics which could not only improve performance but
#   ## also save AWS API cost. If enable this flag, this plugin would parse the required
#   ## CloudWatch statistic fields (count, min, max, and sum) and send them to CloudWatch.
#   ## You could use basicstats aggregator to calculate those fields. If not all statistic
#   ## fields are available, all fields would still be sent as raw metrics.
#   # write_statistics = false
#
#   ## Enable high resolution metrics of 1 second (if not enabled, standard resolution are of 60 seconds precision)
#   # high_resolution_metrics = false

# # Configuration for CrateDB to send metrics to.
# [[outputs.cratedb]]
#   # A github.com/jackc/pgx connection string.
#   # See https://godoc.org/github.com/jackc/pgx#ParseDSN
#   url = &quot;postgres://user:password@localhost/schema?sslmode=disable&quot;
#   # Timeout for all CrateDB queries.
#   timeout = &quot;5s&quot;
#   # Name of the table to store metrics in.
#   table = &quot;metrics&quot;
#   # If true, and the metrics table does not exist, create it automatically.
#   table_create = true

# # Configuration for DataDog API to send metrics to.
# [[outputs.datadog]]
#   ## Datadog API key
#   apikey = &quot;my-secret-key&quot;
#
#   ## Connection timeout.
#   # timeout = &quot;5s&quot;
#
#   ## Write URL override; useful for debugging.
#   # url = &quot;https://app.datadoghq.com/api/v1/series&quot;

# # Send metrics to nowhere at all
# [[outputs.discard]]
#   # no configuration

# # Send telegraf metrics to a Dynatrace environment
# [[outputs.dynatrace]]
#   ## For usage with the Dynatrace OneAgent you can omit any configuration,
#   ## the only requirement is that the OneAgent is running on the same host.
#   ## Only setup environment url and token if you want to monitor a Host without the OneAgent present.
#   ##
#   ## Your Dynatrace environment URL.
#   ## For Dynatrace OneAgent you can leave this empty or set it to &quot;http://127.0.0.1:14499/metrics/ingest&quot; (default)
#   ## For Dynatrace SaaS environments the URL scheme is &quot;https://{your-environment-id}.live.dynatrace.com/api/v2/metrics/ingest&quot;
#   ## For Dynatrace Managed environments the URL scheme is &quot;https://{your-domain}/e/{your-environment-id}/api/v2/metrics/ingest&quot;
#   url = &quot;&quot;
#
#   ## Your Dynatrace API token.
#   ## Create an API token within your Dynatrace environment, by navigating to Settings &gt; Integration &gt; Dynatrace API
#   ## The API token needs data ingest scope permission. When using OneAgent, no API token is required.
#   api_token = &quot;&quot;
#
#   ## Optional prefix for metric names (e.g.: &quot;telegraf.&quot;)
#   prefix = &quot;telegraf.&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#
#   ## Optional flag for ignoring tls certificate check
#   # insecure_skip_verify = false
#
#
#   ## Connection timeout, defaults to &quot;5s&quot; if not set.
#   timeout = &quot;5s&quot;

# # Configuration for Elasticsearch to send metrics to.
# [[outputs.elasticsearch]]
#   ## The full HTTP endpoint URL for your Elasticsearch instance
#   ## Multiple urls can be specified as part of the same cluster,
#   ## this means that only ONE of the urls will be written to each interval.
#   urls = [ &quot;http://node1.es.example.com:9200&quot; ] # required.
#   ## Elasticsearch client timeout, defaults to &quot;5s&quot; if not set.
#   timeout = &quot;5s&quot;
#   ## Set to true to ask Elasticsearch a list of all cluster nodes,
#   ## thus it is not necessary to list all nodes in the urls config option.
#   enable_sniffer = false
#   ## Set the interval to check if the Elasticsearch nodes are available
#   ## Setting to &quot;0s&quot; will disable the health check (not recommended in production)
#   health_check_interval = &quot;10s&quot;
#   ## HTTP basic authentication details
#   # username = &quot;telegraf&quot;
#   # password = &quot;mypassword&quot;
#
#   ## Index Config
#   ## The target index for metrics (Elasticsearch will create if it not exists).
#   ## You can use the date specifiers below to create indexes per time frame.
#   ## The metric timestamp will be used to decide the destination index name
#   # %Y - year (2016)
#   # %y - last two digits of year (00..99)
#   # %m - month (01..12)
#   # %d - day of month (e.g., 01)
#   # %H - hour (00..23)
#   # %V - week of the year (ISO week) (01..53)
#   ## Additionally, you can specify a tag name using the notation {{tag_name}}
#   ## which will be used as part of the index name. If the tag does not exist,
#   ## the default tag value will be used.
#   # index_name = &quot;telegraf-{{host}}-%Y.%m.%d&quot;
#   # default_tag_value = &quot;none&quot;
#   index_name = &quot;telegraf-%Y.%m.%d&quot; # required.
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## Template Config
#   ## Set to true if you want telegraf to manage its index template.
#   ## If enabled it will create a recommended index template for telegraf indexes
#   manage_template = true
#   ## The template name used for telegraf indexes
#   template_name = &quot;telegraf&quot;
#   ## Set to true if you want telegraf to overwrite an existing template
#   overwrite_template = false
#   ## If set to true a unique ID hash will be sent as sha256(concat(timestamp,measurement,series-hash)) string
#   ## it will enable data resend and update metric points avoiding duplicated metrics with diferent id's
#   force_document_id = false

# # Send metrics to command as input over stdin
# [[outputs.exec]]
#   ## Command to ingest metrics via stdin.
#   command = [&quot;tee&quot;, &quot;-a&quot;, &quot;/dev/null&quot;]
#
#   ## Timeout for command to complete.
#   # timeout = &quot;5s&quot;
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   # data_format = &quot;influx&quot;

# # Run executable as long-running output plugin
# [[outputs.execd]]
#   ## Program to run as daemon
#   command = [&quot;my-telegraf-output&quot;, &quot;--some-flag&quot;, &quot;value&quot;]
#
#   ## Delay before the process is restarted after an unexpected termination
#   restart_delay = &quot;10s&quot;
#
#   ## Data format to export.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = &quot;influx&quot;

# # Send telegraf metrics to file(s)
# [[outputs.file]]
#   ## Files to write to, &quot;stdout&quot; is a specially handled file.
#   files = [&quot;stdout&quot;, &quot;/tmp/metrics.out&quot;]
#
#   ## Use batch serialization format instead of line based delimiting.  The
#   ## batch format allows for the production of non line based output formats and
#   ## may more efficiently encode metric groups.
#   # use_batch_format = false
#
#   ## The file will be rotated after the time interval specified.  When set
#   ## to 0 no time based rotation is performed.
#   # rotation_interval = &quot;0d&quot;
#
#   ## The logfile will be rotated when it becomes larger than the specified
#   ## size.  When set to 0 no size based rotation is performed.
#   # rotation_max_size = &quot;0MB&quot;
#
#   ## Maximum number of rotated archives to keep, any older logs are deleted.
#   ## If set to -1, no archives are removed.
#   # rotation_max_archives = 5
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = &quot;influx&quot;

# # Configuration for Graphite server to send metrics to
# [[outputs.graphite]]
#   ## TCP endpoint for your graphite instance.
#   ## If multiple endpoints are configured, output will be load balanced.
#   ## Only one of the endpoints will be written to with each iteration.
#   servers = [&quot;localhost:2003&quot;]
#   ## Prefix metrics name
#   prefix = &quot;&quot;
#   ## Graphite output template
#   ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   template = &quot;host.tags.measurement.field&quot;
#
#   ## Enable Graphite tags support
#   # graphite_tag_support = false
#
#   ## Character for separating metric name and field for Graphite tags
#   # graphite_separator = &quot;.&quot;
#
#   ## Graphite templates patterns
#   ## 1. Template for cpu
#   ## 2. Template for disk*
#   ## 3. Default template
#   # templates = [
#   #  &quot;cpu tags.measurement.host.field&quot;,
#   #  &quot;disk* measurement.field&quot;,
#   #  &quot;host.measurement.tags.field&quot;
#   #]
#
#   ## timeout in seconds for the write connection to graphite
#   timeout = 2
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Send telegraf metrics to graylog
# [[outputs.graylog]]
#   ## UDP endpoint for your graylog instance.
#   servers = [&quot;127.0.0.1:12201&quot;]
#
#   ## The field to use as the GELF short_message, if unset the static string
#   ## &quot;telegraf&quot; will be used.
#   ##   example: short_message_field = &quot;message&quot;
#   # short_message_field = &quot;&quot;

# # Configurable HTTP health check resource based on metrics
# [[outputs.health]]
#   ## Address and port to listen on.
#   ##   ex: service_address = &quot;http://localhost:8080&quot;
#   ##       service_address = &quot;unix:///var/run/telegraf-health.sock&quot;
#   # service_address = &quot;http://:8080&quot;
#
#   ## The maximum duration for reading the entire request.
#   # read_timeout = &quot;5s&quot;
#   ## The maximum duration for writing the entire response.
#   # write_timeout = &quot;5s&quot;
#
#   ## Username and password to accept for HTTP basic authentication.
#   # basic_username = &quot;user1&quot;
#   # basic_password = &quot;secret&quot;
#
#   ## Allowed CA certificates for client certificates.
#   # tls_allowed_cacerts = [&quot;/etc/telegraf/clientca.pem&quot;]
#
#   ## TLS server certificate and private key.
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#
#   ## One or more check sub-tables should be defined, it is also recommended to
#   ## use metric filtering to limit the metrics that flow into this output.
#   ##
#   ## When using the default buffer sizes, this example will fail when the
#   ## metric buffer is half full.
#   ##
#   ## namepass = [&quot;internal_write&quot;]
#   ## tagpass = { output = [&quot;influxdb&quot;] }
#   ##
#   ## [[outputs.health.compares]]
#   ##   field = &quot;buffer_size&quot;
#   ##   lt = 5000.0
#   ##
#   ## [[outputs.health.contains]]
#   ##   field = &quot;buffer_size&quot;

# # A plugin that can transmit metrics over HTTP
# [[outputs.http]]
#   ## URL is the address to send metrics to
#   url = &quot;http://127.0.0.1:8080/telegraf&quot;
#
#   ## Timeout for HTTP message
#   # timeout = &quot;5s&quot;
#
#   ## HTTP method, one of: &quot;POST&quot; or &quot;PUT&quot;
#   # method = &quot;POST&quot;
#
#   ## HTTP Basic Auth credentials
#   # username = &quot;username&quot;
#   # password = &quot;pa$$word&quot;
#
#   ## OAuth2 Client Credentials Grant
#   # client_id = &quot;clientid&quot;
#   # client_secret = &quot;secret&quot;
#   # token_url = &quot;https://indentityprovider/oauth2/v1/token&quot;
#   # scopes = [&quot;urn:opc:idm:__myscopes__&quot;]
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## Data format to output.
#   ## Each data format has it's own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   # data_format = &quot;influx&quot;
#
#   ## HTTP Content-Encoding for write request body, can be set to &quot;gzip&quot; to
#   ## compress body or &quot;identity&quot; to apply no encoding.
#   # content_encoding = &quot;identity&quot;
#
#   ## Additional HTTP headers
#   # [outputs.http.headers]
#   #   # Should be set manually to &quot;application/json&quot; for json data_format
#   #   Content-Type = &quot;text/plain; charset=utf-8&quot;

# # Configuration for sending metrics to InfluxDB
# [[outputs.influxdb_v2]]
#   ## The URLs of the InfluxDB cluster nodes.
#   ##
#   ## Multiple URLs can be specified for a single cluster, only ONE of the
#   ## urls will be written to each interval.
#   ##   ex: urls = [&quot;https://us-west-2-1.aws.cloud2.influxdata.com&quot;]
#   urls = [&quot;http://127.0.0.1:8086&quot;]
#
#   ## Token for authentication.
#   token = &quot;&quot;
#
#   ## Organization is the name of the organization you wish to write to; must exist.
#   organization = &quot;&quot;
#
#   ## Destination bucket to write into.
#   bucket = &quot;&quot;
#
#   ## The value of this tag will be used to determine the bucket.  If this
#   ## tag is not set the 'bucket' option is used as the default.
#   # bucket_tag = &quot;&quot;
#
#   ## If true, the bucket tag will not be added to the metric.
#   # exclude_bucket_tag = false
#
#   ## Timeout for HTTP messages.
#   # timeout = &quot;5s&quot;
#
#   ## Additional HTTP headers
#   # http_headers = {&quot;X-Special-Header&quot; = &quot;Special-Value&quot;}
#
#   ## HTTP Proxy override, if unset values the standard proxy environment
#   ## variables are consulted to determine which proxy, if any, should be used.
#   # http_proxy = &quot;http://corporate.proxy:3128&quot;
#
#   ## HTTP User-Agent
#   # user_agent = &quot;telegraf&quot;
#
#   ## Content-Encoding for write request body, can be set to &quot;gzip&quot; to
#   ## compress body or &quot;identity&quot; to apply no encoding.
#   # content_encoding = &quot;gzip&quot;
#
#   ## Enable or disable uint support for writing uints influxdb 2.0.
#   # influx_uint_support = false
#
#   ## Optional TLS Config for use on HTTP connections.
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Configuration for sending metrics to an Instrumental project
# [[outputs.instrumental]]
#   ## Project API Token (required)
#   api_token = &quot;API Token&quot; # required
#   ## Prefix the metrics with a given name
#   prefix = &quot;&quot;
#   ## Stats output template (Graphite formatting)
#   ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md#graphite
#   template = &quot;host.tags.measurement.field&quot;
#   ## Timeout in seconds to connect
#   timeout = &quot;2s&quot;
#   ## Display Communication to Instrumental
#   debug = false

# # Configuration for the Kafka server to send metrics to
# [[outputs.kafka]]
#   ## URLs of kafka brokers
#   brokers = [&quot;localhost:9092&quot;]
#   ## Kafka topic for producer messages
#   topic = &quot;telegraf&quot;
#
#   ## The value of this tag will be used as the topic.  If not set the 'topic'
#   ## option is used.
#   # topic_tag = &quot;&quot;
#
#   ## If true, the 'topic_tag' will be removed from to the metric.
#   # exclude_topic_tag = false
#
#   ## Optional Client id
#   # client_id = &quot;Telegraf&quot;
#
#   ## Set the minimal supported Kafka version.  Setting this enables the use of new
#   ## Kafka features and APIs.  Of particular interest, lz4 compression
#   ## requires at least version 0.10.0.0.
#   ##   ex: version = &quot;1.1.0&quot;
#   # version = &quot;&quot;
#
#   ## Optional topic suffix configuration.
#   ## If the section is omitted, no suffix is used.
#   ## Following topic suffix methods are supported:
#   ##   measurement - suffix equals to separator + measurement's name
#   ##   tags        - suffix equals to separator + specified tags' values
#   ##                 interleaved with separator
#
#   ## Suffix equals to &quot;_&quot; + measurement name
#   # [outputs.kafka.topic_suffix]
#   #   method = &quot;measurement&quot;
#   #   separator = &quot;_&quot;
#
#   ## Suffix equals to &quot;__&quot; + measurement's &quot;foo&quot; tag value.
#   ##   If there's no such a tag, suffix equals to an empty string
#   # [outputs.kafka.topic_suffix]
#   #   method = &quot;tags&quot;
#   #   keys = [&quot;foo&quot;]
#   #   separator = &quot;__&quot;
#
#   ## Suffix equals to &quot;_&quot; + measurement's &quot;foo&quot; and &quot;bar&quot;
#   ##   tag values, separated by &quot;_&quot;. If there is no such tags,
#   ##   their values treated as empty strings.
#   # [outputs.kafka.topic_suffix]
#   #   method = &quot;tags&quot;
#   #   keys = [&quot;foo&quot;, &quot;bar&quot;]
#   #   separator = &quot;_&quot;
#
#   ## The routing tag specifies a tagkey on the metric whose value is used as
#   ## the message key.  The message key is used to determine which partition to
#   ## send the message to.  This tag is prefered over the routing_key option.
#   routing_tag = &quot;host&quot;
#
#   ## The routing key is set as the message key and used to determine which
#   ## partition to send the message to.  This value is only used when no
#   ## routing_tag is set or as a fallback when the tag specified in routing tag
#   ## is not found.
#   ##
#   ## If set to &quot;random&quot;, a random value will be generated for each message.
#   ##
#   ## When unset, no message key is added and each message is routed to a random
#   ## partition.
#   ##
#   ##   ex: routing_key = &quot;random&quot;
#   ##       routing_key = &quot;telegraf&quot;
#   # routing_key = &quot;&quot;
#
#   ## CompressionCodec represents the various compression codecs recognized by
#   ## Kafka in messages.
#   ##  0 : No compression
#   ##  1 : Gzip compression
#   ##  2 : Snappy compression
#   ##  3 : LZ4 compression
#   # compression_codec = 0
#
#   ##  RequiredAcks is used in Produce Requests to tell the broker how many
#   ##  replica acknowledgements it must see before responding
#   ##   0 : the producer never waits for an acknowledgement from the broker.
#   ##       This option provides the lowest latency but the weakest durability
#   ##       guarantees (some data will be lost when a server fails).
#   ##   1 : the producer gets an acknowledgement after the leader replica has
#   ##       received the data. This option provides better durability as the
#   ##       client waits until the server acknowledges the request as successful
#   ##       (only messages that were written to the now-dead leader but not yet
#   ##       replicated will be lost).
#   ##   -1: the producer gets an acknowledgement after all in-sync replicas have
#   ##       received the data. This option provides the best durability, we
#   ##       guarantee that no messages will be lost as long as at least one in
#   ##       sync replica remains.
#   # required_acks = -1
#
#   ## The maximum number of times to retry sending a metric before failing
#   ## until the next flush.
#   # max_retry = 3
#
#   ## The maximum permitted size of a message. Should be set equal to or
#   ## smaller than the broker's 'message.max.bytes'.
#   # max_message_bytes = 1000000
#
#   ## Optional TLS Config
#   # enable_tls = true
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## Optional SASL Config
#   # sasl_username = &quot;kafka&quot;
#   # sasl_password = &quot;secret&quot;
#
#   ## SASL protocol version.  When connecting to Azure EventHub set to 0.
#   # sasl_version = 1
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   # data_format = &quot;influx&quot;

# # Configuration for the AWS Kinesis output.
# [[outputs.kinesis]]
#   ## Amazon REGION of kinesis endpoint.
#   region = &quot;ap-southeast-2&quot;
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order
#   ## 1) Assumed credentials via STS if role_arn is specified
#   ## 2) explicit credentials from 'access_key' and 'secret_key'
#   ## 3) shared profile from 'profile'
#   ## 4) environment variables
#   ## 5) shared credentials file
#   ## 6) EC2 Instance Profile
#   #access_key = &quot;&quot;
#   #secret_key = &quot;&quot;
#   #token = &quot;&quot;
#   #role_arn = &quot;&quot;
#   #profile = &quot;&quot;
#   #shared_credential_file = &quot;&quot;
#
#   ## Endpoint to make request against, the correct endpoint is automatically
#   ## determined and this option should only be set if you wish to override the
#   ## default.
#   ##   ex: endpoint_url = &quot;http://localhost:8000&quot;
#   # endpoint_url = &quot;&quot;
#
#   ## Kinesis StreamName must exist prior to starting telegraf.
#   streamname = &quot;StreamName&quot;
#   ## DEPRECATED: PartitionKey as used for sharding data.
#   partitionkey = &quot;PartitionKey&quot;
#   ## DEPRECATED: If set the partitionKey will be a random UUID on every put.
#   ## This allows for scaling across multiple shards in a stream.
#   ## This will cause issues with ordering.
#   use_random_partitionkey = false
#   ## The partition key can be calculated using one of several methods:
#   ##
#   ## Use a static value for all writes:
#   #  [outputs.kinesis.partition]
#   #    method = &quot;static&quot;
#   #    key = &quot;howdy&quot;
#   #
#   ## Use a random partition key on each write:
#   #  [outputs.kinesis.partition]
#   #    method = &quot;random&quot;
#   #
#   ## Use the measurement name as the partition key:
#   #  [outputs.kinesis.partition]
#   #    method = &quot;measurement&quot;
#   #
#   ## Use the value of a tag for all writes, if the tag is not set the empty
#   ## default option will be used. When no default, defaults to &quot;telegraf&quot;
#   #  [outputs.kinesis.partition]
#   #    method = &quot;tag&quot;
#   #    key = &quot;host&quot;
#   #    default = &quot;mykey&quot;
#
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = &quot;influx&quot;
#
#   ## debug will show upstream aws messages.
#   debug = false

# # Configuration for Librato API to send metrics to.
# [[outputs.librato]]
#   ## Librato API Docs
#   ## http://dev.librato.com/v1/metrics-authentication
#   ## Librato API user
#   api_user = &quot;telegraf@influxdb.com&quot; # required.
#   ## Librato API token
#   api_token = &quot;my-secret-token&quot; # required.
#   ## Debug
#   # debug = false
#   ## Connection timeout.
#   # timeout = &quot;5s&quot;
#   ## Output source Template (same as graphite buckets)
#   ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md#graphite
#   ## This template is used in librato's source (not metric's name)
#   template = &quot;host&quot;
#

# # Configuration for MQTT server to send metrics to
# [[outputs.mqtt]]
#   servers = [&quot;localhost:1883&quot;] # required.
#
#   ## MQTT outputs send metrics to this topic format
#   ##    &quot;&lt;topic_prefix&gt;/&lt;hostname&gt;/&lt;pluginname&gt;/&quot;
#   ##   ex: prefix/web01.example.com/mem
#   topic_prefix = &quot;telegraf&quot;
#
#   ## QoS policy for messages
#   ##   0 = at most once
#   ##   1 = at least once
#   ##   2 = exactly once
#   # qos = 2
#
#   ## username and password to connect MQTT server.
#   # username = &quot;telegraf&quot;
#   # password = &quot;metricsmetricsmetricsmetrics&quot;
#
#   ## client ID, if not set a random ID is generated
#   # client_id = &quot;&quot;
#
#   ## Timeout for write operations. default: 5s
#   # timeout = &quot;5s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## When true, metrics will be sent in one MQTT message per flush.  Otherwise,
#   ## metrics are written one metric per MQTT message.
#   # batch = false
#
#   ## When true, metric will have RETAIN flag set, making broker cache entries until someone
#   ## actually reads it
#   # retain = false
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = &quot;influx&quot;

# # Send telegraf measurements to NATS
# [[outputs.nats]]
#   ## URLs of NATS servers
#   servers = [&quot;nats://localhost:4222&quot;]
#
#   ## Optional credentials
#   # username = &quot;&quot;
#   # password = &quot;&quot;
#
#   ## Optional NATS 2.0 and NATS NGS compatible user credentials
#   # credentials = &quot;/etc/telegraf/nats.creds&quot;
#
#   ## NATS subject for producer messages
#   subject = &quot;telegraf&quot;
#
#   ## Use Transport Layer Security
#   # secure = false
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = &quot;influx&quot;

# # Send metrics to New Relic metrics endpoint
# [[outputs.newrelic]]
#   ## New Relic Insights API key
#   insights_key = &quot;insights api key&quot;
#
#   ## Prefix to add to add to metric name for easy identification.
#   # metric_prefix = &quot;&quot;
#
#   ## Timeout for writes to the New Relic API.
#   # timeout = &quot;15s&quot;

# # Send telegraf measurements to NSQD
# [[outputs.nsq]]
#   ## Location of nsqd instance listening on TCP
#   server = &quot;localhost:4150&quot;
#   ## NSQ topic for producer messages
#   topic = &quot;telegraf&quot;
#
#   ## Data format to output.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
#   data_format = &quot;influx&quot;

# # Configuration for OpenTSDB server to send metrics to
# [[outputs.opentsdb]]
#   ## prefix for metrics keys
#   prefix = &quot;my.specific.prefix.&quot;
#
#   ## DNS name of the OpenTSDB server
#   ## Using &quot;opentsdb.example.com&quot; or &quot;tcp://opentsdb.example.com&quot; will use the
#   ## telnet API. &quot;http://opentsdb.example.com&quot; will use the Http API.
#   host = &quot;opentsdb.example.com&quot;
#
#   ## Port of the OpenTSDB server
#   port = 4242
#
#   ## Number of data points to send to OpenTSDB in Http requests.
#   ## Not used with telnet API.
#   http_batch_size = 50
#
#   ## URI Path for Http requests to OpenTSDB.
#   ## Used in cases where OpenTSDB is located behind a reverse proxy.
#   http_path = &quot;/api/put&quot;
#
#   ## Debug true - Prints OpenTSDB communication
#   debug = false
#
#   ## Separator separates measurement name from field
#   separator = &quot;_&quot;

# # Configuration for the Prometheus client to spawn
# [[outputs.prometheus_client]]
#   ## Address to listen on
#   listen = &quot;:9273&quot;
#
#   ## Metric version controls the mapping from Telegraf metrics into
#   ## Prometheus format.  When using the prometheus input, use the same value in
#   ## both plugins to ensure metrics are round-tripped without modification.
#   ##
#   ##   example: metric_version = 1; deprecated in 1.13
#   ##            metric_version = 2; recommended version
#   # metric_version = 1
#
#   ## Use HTTP Basic Authentication.
#   # basic_username = &quot;Foo&quot;
#   # basic_password = &quot;Bar&quot;
#
#   ## If set, the IP Ranges which are allowed to access metrics.
#   ##   ex: ip_range = [&quot;192.168.0.0/24&quot;, &quot;192.168.1.0/30&quot;]
#   # ip_range = []
#
#   ## Path to publish the metrics on.
#   # path = &quot;/metrics&quot;
#
#   ## Expiration interval for each metric. 0 == no expiration
#   # expiration_interval = &quot;60s&quot;
#
#   ## Collectors to enable, valid entries are &quot;gocollector&quot; and &quot;process&quot;.
#   ## If unset, both are enabled.
#   # collectors_exclude = [&quot;gocollector&quot;, &quot;process&quot;]
#
#   ## Send string metrics as Prometheus labels.
#   ## Unless set to false all string metrics will be sent as labels.
#   # string_as_label = true
#
#   ## If set, enable TLS with the given certificate.
#   # tls_cert = &quot;/etc/ssl/telegraf.crt&quot;
#   # tls_key = &quot;/etc/ssl/telegraf.key&quot;
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   # tls_allowed_cacerts = [&quot;/etc/telegraf/clientca.pem&quot;]
#
#   ## Export metric collection time.
#   # export_timestamp = false

# # Configuration for the Riemann server to send metrics to
# [[outputs.riemann]]
#   ## The full TCP or UDP URL of the Riemann server
#   url = &quot;tcp://localhost:5555&quot;
#
#   ## Riemann event TTL, floating-point time in seconds.
#   ## Defines how long that an event is considered valid for in Riemann
#   # ttl = 30.0
#
#   ## Separator to use between measurement and field name in Riemann service name
#   ## This does not have any effect if 'measurement_as_attribute' is set to 'true'
#   separator = &quot;/&quot;
#
#   ## Set measurement name as Riemann attribute 'measurement', instead of prepending it to the Riemann service name
#   # measurement_as_attribute = false
#
#   ## Send string metrics as Riemann event states.
#   ## Unless enabled all string metrics will be ignored
#   # string_as_state = false
#
#   ## A list of tag keys whose values get sent as Riemann tags.
#   ## If empty, all Telegraf tag values will be sent as tags
#   # tag_keys = [&quot;telegraf&quot;,&quot;custom_tag&quot;]
#
#   ## Additional Riemann tags to send.
#   # tags = [&quot;telegraf-output&quot;]
#
#   ## Description for Riemann event
#   # description_text = &quot;metrics collected from telegraf&quot;
#
#   ## Riemann client write timeout, defaults to &quot;5s&quot; if not set.
#   # timeout = &quot;5s&quot;

# # Configuration for the Riemann server to send metrics to
# [[outputs.riemann_legacy]]
#   ## URL of server
#   url = &quot;localhost:5555&quot;
#   ## transport protocol to use either tcp or udp
#   transport = &quot;tcp&quot;
#   ## separator to use between input name and field name in Riemann service name
#   separator = &quot; &quot;

# # Generic socket writer capable of handling multiple socket types.
# [[outputs.socket_writer]]
#   ## URL to connect to
#   # address = &quot;tcp://127.0.0.1:8094&quot;
#   # address = &quot;tcp://example.com:http&quot;
#   # address = &quot;tcp4://127.0.0.1:8094&quot;
#   # address = &quot;tcp6://127.0.0.1:8094&quot;
#   # address = &quot;tcp6://[2001:db8::1]:8094&quot;
#   # address = &quot;udp://127.0.0.1:8094&quot;
#   # address = &quot;udp4://127.0.0.1:8094&quot;
#   # address = &quot;udp6://127.0.0.1:8094&quot;
#   # address = &quot;unix:///tmp/telegraf.sock&quot;
#   # address = &quot;unixgram:///tmp/telegraf.sock&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## Period between keep alive probes.
#   ## Only applies to TCP sockets.
#   ## 0 disables keep alive probes.
#   ## Defaults to the OS configuration.
#   # keep_alive_period = &quot;5m&quot;
#
#   ## Content encoding for packet-based connections (i.e. UDP, unixgram).
#   ## Can be set to &quot;gzip&quot; or to &quot;identity&quot; to apply no encoding.
#   ##
#   # content_encoding = &quot;identity&quot;
#
#   ## Data format to generate.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   # data_format = &quot;influx&quot;

# # Configuration for Google Cloud Stackdriver to send metrics to
# [[outputs.stackdriver]]
#   ## GCP Project
#   project = &quot;erudite-bloom-151019&quot;
#
#   ## The namespace for the metric descriptor
#   namespace = &quot;telegraf&quot;
#
#   ## Custom resource type
#   # resource_type = &quot;generic_node&quot;
#
#   ## Additional resource labels
#   # [outputs.stackdriver.resource_labels]
#   #   node_id = &quot;$HOSTNAME&quot;
#   #   namespace = &quot;myapp&quot;
#   #   location = &quot;eu-north0&quot;

# # A plugin that can transmit metrics to Sumo Logic HTTP Source
# [[outputs.sumologic]]
#   ## Unique URL generated for your HTTP Metrics Source.
#   ## This is the address to send metrics to.
#   # url = &quot;https://events.sumologic.net/receiver/v1/http/&lt;UniqueHTTPCollectorCode&gt;&quot;
#
#   ## Data format to be used for sending metrics.
#   ## This will set the &quot;Content-Type&quot; header accordingly.
#   ## Currently supported formats:
#   ## * graphite - for Content-Type of application/vnd.sumologic.graphite
#   ## * carbon2 - for Content-Type of application/vnd.sumologic.carbon2
#   ## * prometheus - for Content-Type of application/vnd.sumologic.prometheus
#   ##
#   ## More information can be found at:
#   ## https://help.sumologic.com/03Send-Data/Sources/02Sources-for-Hosted-Collectors/HTTP-Source/Upload-Metrics-to-an-HTTP-Source#content-type-headers-for-metrics
#   ##
#   ## NOTE:
#   ## When unset, telegraf will by default use the influx serializer which is currently unsupported
#   ## in HTTP Source.
#   data_format = &quot;carbon2&quot;
#
#   ## Timeout used for HTTP request
#   # timeout = &quot;5s&quot;
#
#   ## Max HTTP request body size in bytes before compression (if applied).
#   ## By default 1MB is recommended.
#   ## NOTE:
#   ## Bear in mind that in some serializer a metric even though serialized to multiple
#   ## lines cannot be split any further so setting this very low might not work
#   ## as expected.
#   # max_request_body_size = 1000000
#
#   ## Additional, Sumo specific options.
#   ## Full list can be found here:
#   ## https://help.sumologic.com/03Send-Data/Sources/02Sources-for-Hosted-Collectors/HTTP-Source/Upload-Metrics-to-an-HTTP-Source#supported-http-headers
#
#   ## Desired source name.
#   ## Useful if you want to override the source name configured for the source.
#   # source_name = &quot;&quot;
#
#   ## Desired host name.
#   ## Useful if you want to override the source host configured for the source.
#   # source_host = &quot;&quot;
#
#   ## Desired source category.
#   ## Useful if you want to override the source category configured for the source.
#   # source_category = &quot;&quot;
#
#   ## Comma-separated key=value list of dimensions to apply to every metric.
#   ## Custom dimensions will allow you to query your metrics at a more granular level.
#   # dimensions = &quot;&quot;

# # Configuration for Syslog server to send metrics to
# [[outputs.syslog]]
#   ## URL to connect to
#   ## ex: address = &quot;tcp://127.0.0.1:8094&quot;
#   ## ex: address = &quot;tcp4://127.0.0.1:8094&quot;
#   ## ex: address = &quot;tcp6://127.0.0.1:8094&quot;
#   ## ex: address = &quot;tcp6://[2001:db8::1]:8094&quot;
#   ## ex: address = &quot;udp://127.0.0.1:8094&quot;
#   ## ex: address = &quot;udp4://127.0.0.1:8094&quot;
#   ## ex: address = &quot;udp6://127.0.0.1:8094&quot;
#   address = &quot;tcp://127.0.0.1:8094&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## Period between keep alive probes.
#   ## Only applies to TCP sockets.
#   ## 0 disables keep alive probes.
#   ## Defaults to the OS configuration.
#   # keep_alive_period = &quot;5m&quot;
#
#   ## The framing technique with which it is expected that messages are
#   ## transported (default = &quot;octet-counting&quot;).  Whether the messages come
#   ## using the octect-counting (RFC5425#section-4.3.1, RFC6587#section-3.4.1),
#   ## or the non-transparent framing technique (RFC6587#section-3.4.2).  Must
#   ## be one of &quot;octet-counting&quot;, &quot;non-transparent&quot;.
#   # framing = &quot;octet-counting&quot;
#
#   ## The trailer to be expected in case of non-transparent framing (default = &quot;LF&quot;).
#   ## Must be one of &quot;LF&quot;, or &quot;NUL&quot;.
#   # trailer = &quot;LF&quot;
#
#   ## SD-PARAMs settings
#   ## Syslog messages can contain key/value pairs within zero or more
#   ## structured data sections.  For each unrecognized metric tag/field a
#   ## SD-PARAMS is created.
#   ##
#   ## Example:
#   ##   [[outputs.syslog]]
#   ##     sdparam_separator = &quot;_&quot;
#   ##     default_sdid = &quot;default@32473&quot;
#   ##     sdids = [&quot;foo@123&quot;, &quot;bar@456&quot;]
#   ##
#   ##   input =&gt; xyzzy,x=y foo@123_value=42,bar@456_value2=84,something_else=1
#   ##   output (structured data only) =&gt; [foo@123 value=42][bar@456 value2=84][default@32473 something_else=1 x=y]
#
#   ## SD-PARAMs separator between the sdid and tag/field key (default = &quot;_&quot;)
#   # sdparam_separator = &quot;_&quot;
#
#   ## Default sdid used for tags/fields that don't contain a prefix defined in
#   ## the explicit sdids setting below If no default is specified, no SD-PARAMs
#   ## will be used for unrecognized field.
#   # default_sdid = &quot;default@32473&quot;
#
#   ## List of explicit prefixes to extract from tag/field keys and use as the
#   ## SDID, if they match (see above example for more details):
#   # sdids = [&quot;foo@123&quot;, &quot;bar@456&quot;]
#
#   ## Default severity value. Severity and Facility are used to calculate the
#   ## message PRI value (RFC5424#section-6.2.1).  Used when no metric field
#   ## with key &quot;severity_code&quot; is defined.  If unset, 5 (notice) is the default
#   # default_severity_code = 5
#
#   ## Default facility value. Facility and Severity are used to calculate the
#   ## message PRI value (RFC5424#section-6.2.1).  Used when no metric field with
#   ## key &quot;facility_code&quot; is defined.  If unset, 1 (user-level) is the default
#   # default_facility_code = 1
#
#   ## Default APP-NAME value (RFC5424#section-6.2.5)
#   ## Used when no metric tag with key &quot;appname&quot; is defined.
#   ## If unset, &quot;Telegraf&quot; is the default
#   # default_appname = &quot;Telegraf&quot;

# # Configuration for Amazon Timestream output.
# [[outputs.timestream]]
#   ## Amazon Region
#   region = &quot;us-east-1&quot;
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order:
#   ## 1) Assumed credentials via STS if role_arn is specified
#   ## 2) Explicit credentials from 'access_key' and 'secret_key'
#   ## 3) Shared profile from 'profile'
#   ## 4) Environment variables
#   ## 5) Shared credentials file
#   ## 6) EC2 Instance Profile
#   #access_key = &quot;&quot;
#   #secret_key = &quot;&quot;
#   #token = &quot;&quot;
#   #role_arn = &quot;&quot;
#   #profile = &quot;&quot;
#   #shared_credential_file = &quot;&quot;
#
#   ## Endpoint to make request against, the correct endpoint is automatically
#   ## determined and this option should only be set if you wish to override the
#   ## default.
#   ##   ex: endpoint_url = &quot;http://localhost:8000&quot;
#   # endpoint_url = &quot;&quot;
#
#   ## Timestream database where the metrics will be inserted.
#   ## The database must exist prior to starting Telegraf.
#   database_name = &quot;yourDatabaseNameHere&quot;
#
#   ## Specifies if the plugin should describe the Timestream database upon starting
#   ## to validate if it has access necessary permissions, connection, etc., as a safety check.
#   ## If the describe operation fails, the plugin will not start
#   ## and therefore the Telegraf agent will not start.
#   describe_database_on_start = false
#
#   ## The mapping mode specifies how Telegraf records are represented in Timestream.
#   ## Valid values are: single-table, multi-table.
#   ## For example, consider the following data in line protocol format:
#   ## weather,location=us-midwest,season=summer temperature=82,humidity=71 1465839830100400200
#   ## airquality,location=us-west no2=5,pm25=16 1465839830100400200
#   ## where weather and airquality are the measurement names, location and season are tags,
#   ## and temperature, humidity, no2, pm25 are fields.
#   ## In multi-table mode:
#   ##  - first line will be ingested to table named weather
#   ##  - second line will be ingested to table named airquality
#   ##  - the tags will be represented as dimensions
#   ##  - first table (weather) will have two records:
#   ##      one with measurement name equals to temperature,
#   ##      another with measurement name equals to humidity
#   ##  - second table (airquality) will have two records:
#   ##      one with measurement name equals to no2,
#   ##      another with measurement name equals to pm25
#   ##  - the Timestream tables from the example will look like this:
#   ##      TABLE &quot;weather&quot;:
#   ##        time | location | season | measure_name | measure_value::bigint
#   ##        2016-06-13 17:43:50 | us-midwest | summer | temperature | 82
#   ##        2016-06-13 17:43:50 | us-midwest | summer | humidity | 71
#   ##      TABLE &quot;airquality&quot;:
#   ##        time | location | measure_name | measure_value::bigint
#   ##        2016-06-13 17:43:50 | us-west | no2 | 5
#   ##        2016-06-13 17:43:50 | us-west | pm25 | 16
#   ## In single-table mode:
#   ##  - the data will be ingested to a single table, which name will be valueOf(single_table_name)
#   ##  - measurement name will stored in dimension named valueOf(single_table_dimension_name_for_telegraf_measurement_name)
#   ##  - location and season will be represented as dimensions
#   ##  - temperature, humidity, no2, pm25 will be represented as measurement name
#   ##  - the Timestream table from the example will look like this:
#   ##      Assuming:
#   ##        - single_table_name = &quot;my_readings&quot;
#   ##        - single_table_dimension_name_for_telegraf_measurement_name = &quot;namespace&quot;
#   ##      TABLE &quot;my_readings&quot;:
#   ##        time | location | season | namespace | measure_name | measure_value::bigint
#   ##        2016-06-13 17:43:50 | us-midwest | summer | weather | temperature | 82
#   ##        2016-06-13 17:43:50 | us-midwest | summer | weather | humidity | 71
#   ##        2016-06-13 17:43:50 | us-west | NULL | airquality | no2 | 5
#   ##        2016-06-13 17:43:50 | us-west | NULL | airquality | pm25 | 16
#   ## In most cases, using multi-table mapping mode is recommended.
#   ## However, you can consider using single-table in situations when you have thousands of measurement names.
#   mapping_mode = &quot;multi-table&quot;
#
#   ## Only valid and required for mapping_mode = &quot;single-table&quot;
#   ## Specifies the Timestream table where the metrics will be uploaded.
#   # single_table_name = &quot;yourTableNameHere&quot;
#
#   ## Only valid and required for mapping_mode = &quot;single-table&quot;
#   ## Describes what will be the Timestream dimension name for the Telegraf
#   ## measurement name.
#   # single_table_dimension_name_for_telegraf_measurement_name = &quot;namespace&quot;
#
#   ## Specifies if the plugin should create the table, if the table do not exist.
#   ## The plugin writes the data without prior checking if the table exists.
#   ## When the table does not exist, the error returned from Timestream will cause
#   ## the plugin to create the table, if this parameter is set to true.
#   create_table_if_not_exists = true
#
#   ## Only valid and required if create_table_if_not_exists = true
#   ## Specifies the Timestream table magnetic store retention period in days.
#   ## Check Timestream documentation for more details.
#   create_table_magnetic_store_retention_period_in_days = 365
#
#   ## Only valid and required if create_table_if_not_exists = true
#   ## Specifies the Timestream table memory store retention period in hours.
#   ## Check Timestream documentation for more details.
#   create_table_memory_store_retention_period_in_hours = 24
#
#   ## Only valid and optional if create_table_if_not_exists = true
#   ## Specifies the Timestream table tags.
#   ## Check Timestream documentation for more details
#   # create_table_tags = { &quot;foo&quot; = &quot;bar&quot;, &quot;environment&quot; = &quot;dev&quot;}

# # Write metrics to Warp 10
# [[outputs.warp10]]
#   # Prefix to add to the measurement.
#   prefix = &quot;telegraf.&quot;
#
#   # URL of the Warp 10 server
#   warp_url = &quot;http://localhost:8080&quot;
#
#   # Write token to access your app on warp 10
#   token = &quot;Token&quot;
#
#   # Warp 10 query timeout
#   # timeout = &quot;15s&quot;
#
#   ## Print Warp 10 error body
#   # print_error_body = false
#
#   ## Max string error size
#   # max_string_error_size = 511
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Configuration for Wavefront server to send metrics to
# [[outputs.wavefront]]
#   ## Url for Wavefront Direct Ingestion or using HTTP with Wavefront Proxy
#   ## If using Wavefront Proxy, also specify port. example: http://proxyserver:2878
#   url = &quot;https://metrics.wavefront.com&quot;
#
#   ## Authentication Token for Wavefront. Only required if using Direct Ingestion
#   #token = &quot;DUMMY_TOKEN&quot;
#
#   ## DNS name of the wavefront proxy server. Do not use if url is specified
#   #host = &quot;wavefront.example.com&quot;
#
#   ## Port that the Wavefront proxy server listens on. Do not use if url is specified
#   #port = 2878
#
#   ## prefix for metrics keys
#   #prefix = &quot;my.specific.prefix.&quot;
#
#   ## whether to use &quot;value&quot; for name of simple fields. default is false
#   #simple_fields = false
#
#   ## character to use between metric and field name.  default is . (dot)
#   #metric_separator = &quot;.&quot;
#
#   ## Convert metric name paths to use metricSeparator character
#   ## When true will convert all _ (underscore) characters in final metric name. default is true
#   #convert_paths = true
#
#   ## Use Strict rules to sanitize metric and tag names from invalid characters
#   ## When enabled forward slash (/) and comma (,) will be accepted
#   #use_strict = false
#
#   ## Use Regex to sanitize metric and tag names from invalid characters
#   ## Regex is more thorough, but significantly slower. default is false
#   #use_regex = false
#
#   ## point tags to use as the source name for Wavefront (if none found, host will be used)
#   #source_override = [&quot;hostname&quot;, &quot;address&quot;, &quot;agent_host&quot;, &quot;node_host&quot;]
#
#   ## whether to convert boolean values to numeric values, with false -&gt; 0.0 and true -&gt; 1.0. default is true
#   #convert_bool = true
#
#   ## Truncate metric tags to a total of 254 characters for the tag name value. Wavefront will reject any
#   ## data point exceeding this limit if not truncated. Defaults to 'false' to provide backwards compatibility.
#   #truncate_tags = false
#
#   ## Define a mapping, namespaced by metric prefix, from string values to numeric values
#   ##   deprecated in 1.9; use the enum processor plugin
#   #[[outputs.wavefront.string_to_number.elasticsearch]]
#   #  green = 1.0
#   #  yellow = 0.5
#   #  red = 0.0

###############################################################################
#                            PROCESSOR PLUGINS                                #
###############################################################################

# # Clone metrics and apply modifications.
# [[processors.clone]]
#   ## All modifications on inputs and aggregators can be overridden:
#   # name_override = &quot;new_name&quot;
#   # name_prefix = &quot;new_name_prefix&quot;
#   # name_suffix = &quot;new_name_suffix&quot;
#
#   ## Tags to be added (all values must be strings)
#   # [processors.clone.tags]
#   #   additional_tag = &quot;tag_value&quot;

# # Convert values to another metric value type
# [[processors.converter]]
#   ## Tags to convert
#   ##
#   ## The table key determines the target type, and the array of key-values
#   ## select the keys to convert.  The array may contain globs.
#   ##   &lt;target-type&gt; = [&lt;tag-key&gt;...]
#   [processors.converter.tags]
#     measurement = []
#     string = []
#     integer = []
#     unsigned = []
#     boolean = []
#     float = []
#
#   ## Fields to convert
#   ##
#   ## The table key determines the target type, and the array of key-values
#   ## select the keys to convert.  The array may contain globs.
#   ##   &lt;target-type&gt; = [&lt;field-key&gt;...]
#   [processors.converter.fields]
#     measurement = []
#     tag = []
#     string = []
#     integer = []
#     unsigned = []
#     boolean = []
#     float = []

# # Dates measurements, tags, and fields that pass through this filter.
# [[processors.date]]
# 	## New tag to create
# 	tag_key = &quot;month&quot;
#
# 	## New field to create (cannot set both field_key and tag_key)
# 	# field_key = &quot;month&quot;
#
# 	## Date format string, must be a representation of the Go &quot;reference time&quot;
# 	## which is &quot;Mon Jan 2 15:04:05 -0700 MST 2006&quot;.
# 	date_format = &quot;Jan&quot;
#
# 	## If destination is a field, date format can also be one of
# 	## &quot;unix&quot;, &quot;unix_ms&quot;, &quot;unix_us&quot;, or &quot;unix_ns&quot;, which will insert an integer field.
# 	# date_format = &quot;unix&quot;
#
# 	## Offset duration added to the date string when writing the new tag.
# 	# date_offset = &quot;0s&quot;
#
# 	## Timezone to use when creating the tag or field using a reference time
# 	## string.  This can be set to one of &quot;UTC&quot;, &quot;Local&quot;, or to a location name
# 	## in the IANA Time Zone database.
# 	##   example: timezone = &quot;America/Los_Angeles&quot;
# 	# timezone = &quot;UTC&quot;

# # Filter metrics with repeating field values
# [[processors.dedup]]
#   ## Maximum time to suppress output
#   dedup_interval = &quot;600s&quot;

# # Defaults sets default value(s) for specified fields that are not set on incoming metrics.
# [[processors.defaults]]
#   ## Ensures a set of fields always exists on your metric(s) with their
#   ## respective default value.
#   ## For any given field pair (key = default), if it's not set, a field
#   ## is set on the metric with the specified default.
#   ##
#   ## A field is considered not set if it is nil on the incoming metric;
#   ## or it is not nil but its value is an empty string or is a string
#   ## of one or more spaces.
#   ##   &lt;target-field&gt; = &lt;value&gt;
#   # [processors.defaults.fields]
#   #   field_1 = &quot;bar&quot;
#   #   time_idle = 0
#   #   is_error = true

# # Map enum values according to given table.
# [[processors.enum]]
#   [[processors.enum.mapping]]
#     ## Name of the field to map
#     field = &quot;status&quot;
#
#     ## Name of the tag to map
#     # tag = &quot;status&quot;
#
#     ## Destination tag or field to be used for the mapped value.  By default the
#     ## source tag or field is used, overwriting the original value.
#     dest = &quot;status_code&quot;
#
#     ## Default value to be used for all values not contained in the mapping
#     ## table.  When unset, the unmodified value for the field will be used if no
#     ## match is found.
#     # default = 0
#
#     ## Table of mappings
#     [processors.enum.mapping.value_mappings]
#       green = 1
#       amber = 2
#       red = 3

# # Run executable as long-running processor plugin
# [[processors.execd]]
# 	## Program to run as daemon
# 	## eg: command = [&quot;/path/to/your_program&quot;, &quot;arg1&quot;, &quot;arg2&quot;]
# 	command = [&quot;cat&quot;]
#
#   ## Delay before the process is restarted after an unexpected termination
#   restart_delay = &quot;10s&quot;

# # Performs file path manipulations on tags and fields
# [[processors.filepath]]
#   ## Treat the tag value as a path and convert it to its last element, storing the result in a new tag
#   # [[processors.filepath.basename]]
#   #   tag = &quot;path&quot;
#   #   dest = &quot;basepath&quot;
#
#   ## Treat the field value as a path and keep all but the last element of path, typically the path's directory
#   # [[processors.filepath.dirname]]
#   #   field = &quot;path&quot;
#
#   ## Treat the tag value as a path, converting it to its the last element without its suffix
#   # [[processors.filepath.stem]]
#   #   tag = &quot;path&quot;
#
#   ## Treat the tag value as a path, converting it to the shortest path name equivalent
#   ## to path by purely lexical processing
#   # [[processors.filepath.clean]]
#   #   tag = &quot;path&quot;
#
#   ## Treat the tag value as a path, converting it to a relative path that is lexically
#   ## equivalent to the source path when joined to 'base_path'
#   # [[processors.filepath.rel]]
#   #   tag = &quot;path&quot;
#   #   base_path = &quot;/var/log&quot;
#
#   ## Treat the tag value as a path, replacing each separator character in path with a '/' character. Has only
#   ## effect on Windows
#   # [[processors.filepath.toslash]]
#   #   tag = &quot;path&quot;

# # Add a tag of the network interface name looked up over SNMP by interface number
# [[processors.ifname]]
#   ## Name of tag holding the interface number
#   # tag = &quot;ifIndex&quot;
#
#   ## Name of output tag where service name will be added
#   # dest = &quot;ifName&quot;
#
#   ## Name of tag of the SNMP agent to request the interface name from
#   # agent = &quot;agent&quot;
#
#   ## Timeout for each request.
#   # timeout = &quot;5s&quot;
#
#   ## SNMP version; can be 1, 2, or 3.
#   # version = 2
#
#   ## SNMP community string.
#   # community = &quot;public&quot;
#
#   ## Number of retries to attempt.
#   # retries = 3
#
#   ## The GETBULK max-repetitions parameter.
#   # max_repetitions = 10
#
#   ## SNMPv3 authentication and encryption options.
#   ##
#   ## Security Name.
#   # sec_name = &quot;myuser&quot;
#   ## Authentication protocol; one of &quot;MD5&quot;, &quot;SHA&quot;, or &quot;&quot;.
#   # auth_protocol = &quot;MD5&quot;
#   ## Authentication password.
#   # auth_password = &quot;pass&quot;
#   ## Security Level; one of &quot;noAuthNoPriv&quot;, &quot;authNoPriv&quot;, or &quot;authPriv&quot;.
#   # sec_level = &quot;authNoPriv&quot;
#   ## Context Name.
#   # context_name = &quot;&quot;
#   ## Privacy protocol used for encrypted messages; one of &quot;DES&quot;, &quot;AES&quot; or &quot;&quot;.
#   # priv_protocol = &quot;&quot;
#   ## Privacy password used for encrypted messages.
#   # priv_password = &quot;&quot;
#
#   ## max_parallel_lookups is the maximum number of SNMP requests to
#   ## make at the same time.
#   # max_parallel_lookups = 100
#
#   ## ordered controls whether or not the metrics need to stay in the
#   ## same order this plugin received them in. If false, this plugin
#   ## may change the order when data is cached.  If you need metrics to
#   ## stay in order set this to true.  keeping the metrics ordered may
#   ## be slightly slower
#   # ordered = false
#
#   ## cache_ttl is the amount of time interface names are cached for a
#   ## given agent.  After this period elapses if names are needed they
#   ## will be retrieved again.
#   # cache_ttl = &quot;8h&quot;

# # Apply metric modifications using override semantics.
# [[processors.override]]
#   ## All modifications on inputs and aggregators can be overridden:
#   # name_override = &quot;new_name&quot;
#   # name_prefix = &quot;new_name_prefix&quot;
#   # name_suffix = &quot;new_name_suffix&quot;
#
#   ## Tags to be added (all values must be strings)
#   # [processors.override.tags]
#   #   additional_tag = &quot;tag_value&quot;

# # Parse a value in a specified field/tag(s) and add the result in a new metric
# [[processors.parser]]
#   ## The name of the fields whose value will be parsed.
#   parse_fields = []
#
#   ## If true, incoming metrics are not emitted.
#   drop_original = false
#
#   ## If set to override, emitted metrics will be merged by overriding the
#   ## original metric using the newly parsed metrics.
#   merge = &quot;override&quot;
#
#   ## The dataformat to be read from files
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = &quot;influx&quot;

# # Rotate a single valued metric into a multi field metric
# [[processors.pivot]]
#   ## Tag to use for naming the new field.
#   tag_key = &quot;name&quot;
#   ## Field to use as the value of the new field.
#   value_key = &quot;value&quot;

# # Given a tag/field of a TCP or UDP port number, add a tag/field of the service name looked up in the system services file
# [[processors.port_name]]
# [[processors.port_name]]
#   ## Name of tag holding the port number
#   # tag = &quot;port&quot;
#   ## Or name of the field holding the port number
#   # field = &quot;port&quot;
#
#   ## Name of output tag or field (depending on the source) where service name will be added
#   # dest = &quot;service&quot;
#
#   ## Default tcp or udp
#   # default_protocol = &quot;tcp&quot;
#
#   ## Tag containing the protocol (tcp or udp, case-insensitive)
#   # protocol_tag = &quot;proto&quot;
#
#   ## Field containing the protocol (tcp or udp, case-insensitive)
#   # protocol_field = &quot;proto&quot;

# # Print all metrics that pass through this filter.
# [[processors.printer]]

# # Transforms tag and field values with regex pattern
# [[processors.regex]]
#   ## Tag and field conversions defined in a separate sub-tables
#   # [[processors.regex.tags]]
#   #   ## Tag to change
#   #   key = &quot;resp_code&quot;
#   #   ## Regular expression to match on a tag value
#   #   pattern = &quot;^(\\d)\\d\\d$&quot;
#   #   ## Matches of the pattern will be replaced with this string.  Use ${1}
#   #   ## notation to use the text of the first submatch.
#   #   replacement = &quot;${1}xx&quot;
#
#   # [[processors.regex.fields]]
#   #   ## Field to change
#   #   key = &quot;request&quot;
#   #   ## All the power of the Go regular expressions available here
#   #   ## For example, named subgroups
#   #   pattern = &quot;^/api(?P&lt;method&gt;/[\\w/]+)\\S*&quot;
#   #   replacement = &quot;${method}&quot;
#   #   ## If result_key is present, a new field will be created
#   #   ## instead of changing existing field
#   #   result_key = &quot;method&quot;
#
#   ## Multiple conversions may be applied for one field sequentially
#   ## Let's extract one more value
#   # [[processors.regex.fields]]
#   #   key = &quot;request&quot;
#   #   pattern = &quot;.*category=(\\w+).*&quot;
#   #   replacement = &quot;${1}&quot;
#   #   result_key = &quot;search_category&quot;

# # Rename measurements, tags, and fields that pass through this filter.
# [[processors.rename]]

# # ReverseDNS does a reverse lookup on IP addresses to retrieve the DNS name
# [[processors.reverse_dns]]
#   ## For optimal performance, you may want to limit which metrics are passed to this
#   ## processor. eg:
#   ## namepass = [&quot;my_metric_*&quot;]
#
#   ## cache_ttl is how long the dns entries should stay cached for.
#   ## generally longer is better, but if you expect a large number of diverse lookups
#   ## you'll want to consider memory use.
#   cache_ttl = &quot;24h&quot;
#
#   ## lookup_timeout is how long should you wait for a single dns request to repsond.
#   ## this is also the maximum acceptable latency for a metric travelling through
#   ## the reverse_dns processor. After lookup_timeout is exceeded, a metric will
#   ## be passed on unaltered.
#   ## multiple simultaneous resolution requests for the same IP will only make a
#   ## single rDNS request, and they will all wait for the answer for this long.
#   lookup_timeout = &quot;3s&quot;
#
#   ## max_parallel_lookups is the maximum number of dns requests to be in flight
#   ## at the same time. Requesting hitting cached values do not count against this
#   ## total, and neither do mulptiple requests for the same IP.
#   ## It's probably best to keep this number fairly low.
#   max_parallel_lookups = 10
#
#   ## ordered controls whether or not the metrics need to stay in the same order
#   ## this plugin received them in. If false, this plugin will change the order
#   ## with requests hitting cached results moving through immediately and not
#   ## waiting on slower lookups. This may cause issues for you if you are
#   ## depending on the order of metrics staying the same. If so, set this to true.
#   ## keeping the metrics ordered may be slightly slower.
#   ordered = false
#
#   [[processors.reverse_dns.lookup]]
#     ## get the ip from the field &quot;source_ip&quot;, and put the result in the field &quot;source_name&quot;
#     field = &quot;source_ip&quot;
#     dest = &quot;source_name&quot;
#
#   [[processors.reverse_dns.lookup]]
#     ## get the ip from the tag &quot;destination_ip&quot;, and put the result in the tag
#     ## &quot;destination_name&quot;.
#     tag = &quot;destination_ip&quot;
#     dest = &quot;destination_name&quot;
#
#     ## If you would prefer destination_name to be a field instead, you can use a
#     ## processors.converter after this one, specifying the order attribute.

# # Add the S2 Cell ID as a tag based on latitude and longitude fields
# [[processors.s2geo]]
#   ## The name of the lat and lon fields containing WGS-84 latitude and
#   ## longitude in decimal degrees.
#   # lat_field = &quot;lat&quot;
#   # lon_field = &quot;lon&quot;
#
#   ## New tag to create
#   # tag_key = &quot;s2_cell_id&quot;
#
#   ## Cell level (see https://s2geometry.io/resources/s2cell_statistics.html)
#   # cell_level = 9

# # Process metrics using a Starlark script
# [[processors.starlark]]
#   ## The Starlark source can be set as a string in this configuration file, or
#   ## by referencing a file containing the script.  Only one source or script
#   ## should be set at once.
#   ##
#   ## Source of the Starlark script.
#   source = '''
# def apply(metric):
# 	return metric
# '''
#
#   ## File containing a Starlark script.
#   # script = &quot;/usr/local/bin/myscript.star&quot;

# # Perform string processing on tags, fields, and measurements
# [[processors.strings]]
#   ## Convert a tag value to uppercase
#   # [[processors.strings.uppercase]]
#   #   tag = &quot;method&quot;
#
#   ## Convert a field value to lowercase and store in a new field
#   # [[processors.strings.lowercase]]
#   #   field = &quot;uri_stem&quot;
#   #   dest = &quot;uri_stem_normalised&quot;
#
#   ## Convert a field value to titlecase
#   # [[processors.strings.titlecase]]
#   #   field = &quot;status&quot;
#
#   ## Trim leading and trailing whitespace using the default cutset
#   # [[processors.strings.trim]]
#   #   field = &quot;message&quot;
#
#   ## Trim leading characters in cutset
#   # [[processors.strings.trim_left]]
#   #   field = &quot;message&quot;
#   #   cutset = &quot;\t&quot;
#
#   ## Trim trailing characters in cutset
#   # [[processors.strings.trim_right]]
#   #   field = &quot;message&quot;
#   #   cutset = &quot;\r\n&quot;
#
#   ## Trim the given prefix from the field
#   # [[processors.strings.trim_prefix]]
#   #   field = &quot;my_value&quot;
#   #   prefix = &quot;my_&quot;
#
#   ## Trim the given suffix from the field
#   # [[processors.strings.trim_suffix]]
#   #   field = &quot;read_count&quot;
#   #   suffix = &quot;_count&quot;
#
#   ## Replace all non-overlapping instances of old with new
#   # [[processors.strings.replace]]
#   #   measurement = &quot;*&quot;
#   #   old = &quot;:&quot;
#   #   new = &quot;_&quot;
#
#   ## Trims strings based on width
#   # [[processors.strings.left]]
#   #   field = &quot;message&quot;
#   #   width = 10
#
#   ## Decode a base64 encoded utf-8 string
#   # [[processors.strings.base64decode]]
#   #   field = &quot;message&quot;

# # Restricts the number of tags that can pass through this filter and chooses which tags to preserve when over the limit.
# [[processors.tag_limit]]
#   ## Maximum number of tags to preserve
#   limit = 10
#
#   ## List of tags to preferentially preserve
#   keep = [&quot;foo&quot;, &quot;bar&quot;, &quot;baz&quot;]

# # Uses a Go template to create a new tag
# [[processors.template]]
#   ## Tag to set with the output of the template.
#   tag = &quot;topic&quot;
#
#   ## Go template used to create the tag value.  In order to ease TOML
#   ## escaping requirements, you may wish to use single quotes around the
#   ## template string.
#   template = '{{ .Tag &quot;hostname&quot; }}.{{ .Tag &quot;level&quot; }}'

# # Print all metrics that pass through this filter.
# [[processors.topk]]
#   ## How many seconds between aggregations
#   # period = 10
#
#   ## How many top metrics to return
#   # k = 10
#
#   ## Over which tags should the aggregation be done. Globs can be specified, in
#   ## which case any tag matching the glob will aggregated over. If set to an
#   ## empty list is no aggregation over tags is done
#   # group_by = ['*']
#
#   ## Over which fields are the top k are calculated
#   # fields = [&quot;value&quot;]
#
#   ## What aggregation to use. Options: sum, mean, min, max
#   # aggregation = &quot;mean&quot;
#
#   ## Instead of the top k largest metrics, return the bottom k lowest metrics
#   # bottomk = false
#
#   ## The plugin assigns each metric a GroupBy tag generated from its name and
#   ## tags. If this setting is different than &quot;&quot; the plugin will add a
#   ## tag (which name will be the value of this setting) to each metric with
#   ## the value of the calculated GroupBy tag. Useful for debugging
#   # add_groupby_tag = &quot;&quot;
#
#   ## These settings provide a way to know the position of each metric in
#   ## the top k. The 'add_rank_field' setting allows to specify for which
#   ## fields the position is required. If the list is non empty, then a field
#   ## will be added to each and every metric for each string present in this
#   ## setting. This field will contain the ranking of the group that
#   ## the metric belonged to when aggregated over that field.
#   ## The name of the field will be set to the name of the aggregation field,
#   ## suffixed with the string '_topk_rank'
#   # add_rank_fields = []
#
#   ## These settings provide a way to know what values the plugin is generating
#   ## when aggregating metrics. The 'add_aggregate_field' setting allows to
#   ## specify for which fields the final aggregation value is required. If the
#   ## list is non empty, then a field will be added to each every metric for
#   ## each field present in this setting. This field will contain
#   ## the computed aggregation for the group that the metric belonged to when
#   ## aggregated over that field.
#   ## The name of the field will be set to the name of the aggregation field,
#   ## suffixed with the string '_topk_aggregate'
#   # add_aggregate_fields = []

# # Rotate multi field metric into several single field metrics
# [[processors.unpivot]]
#   ## Tag to use for the name.
#   tag_key = &quot;name&quot;
#   ## Field to use for the name of the value.
#   value_key = &quot;value&quot;

###############################################################################
#                            AGGREGATOR PLUGINS                               #
###############################################################################

# # Keep the aggregate basicstats of each metric passing through.
# [[aggregators.basicstats]]
#   ## The period on which to flush &amp; clear the aggregator.
#   period = &quot;30s&quot;
#
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   drop_original = false
#
#   ## Configures which basic stats to push as fields
#   # stats = [&quot;count&quot;, &quot;min&quot;, &quot;max&quot;, &quot;mean&quot;, &quot;stdev&quot;, &quot;s2&quot;, &quot;sum&quot;]

# # Report the final metric of a series
# [[aggregators.final]]
#   ## The period on which to flush &amp; clear the aggregator.
#   period = &quot;30s&quot;
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   drop_original = false
#
#   ## The time that a series is not updated until considering it final.
#   series_timeout = &quot;5m&quot;

# # Create aggregate histograms.
# [[aggregators.histogram]]
#   ## The period in which to flush the aggregator.
#   period = &quot;30s&quot;
#
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   drop_original = false
#
#   ## If true, the histogram will be reset on flush instead
#   ## of accumulating the results.
#   reset = false
#
#   ## Whether bucket values should be accumulated. If set to false, &quot;gt&quot; tag will be added.
#   ## Defaults to true.
#   cumulative = true
#
#   ## Example config that aggregates all fields of the metric.
#   # [[aggregators.histogram.config]]
#   #   ## Right borders of buckets (with +Inf implicitly added).
#   #   buckets = [0.0, 15.6, 34.5, 49.1, 71.5, 80.5, 94.5, 100.0]
#   #   ## The name of metric.
#   #   measurement_name = &quot;cpu&quot;
#
#   ## Example config that aggregates only specific fields of the metric.
#   # [[aggregators.histogram.config]]
#   #   ## Right borders of buckets (with +Inf implicitly added).
#   #   buckets = [0.0, 10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0]
#   #   ## The name of metric.
#   #   measurement_name = &quot;diskio&quot;
#   #   ## The concrete fields of metric
#   #   fields = [&quot;io_time&quot;, &quot;read_time&quot;, &quot;write_time&quot;]

# # Merge metrics into multifield metrics by series key
# [[aggregators.merge]]
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   drop_original = true

# # Keep the aggregate min/max of each metric passing through.
# [[aggregators.minmax]]
#   ## General Aggregator Arguments:
#   ## The period on which to flush &amp; clear the aggregator.
#   period = &quot;30s&quot;
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   drop_original = false

# # Count the occurrence of values in fields.
# [[aggregators.valuecounter]]
#   ## General Aggregator Arguments:
#   ## The period on which to flush &amp; clear the aggregator.
#   period = &quot;30s&quot;
#   ## If true, the original metric will be dropped by the
#   ## aggregator and will not get sent to the output plugins.
#   drop_original = false
#   ## The fields for which the values will be counted
#   fields = []

###############################################################################
#                            INPUT PLUGINS                                    #
###############################################################################

# Read metrics about cpu usage
[[inputs.cpu]]
  ## Whether to report per-cpu stats or not
  percpu = true
  ## Whether to report total system cpu stats or not
  totalcpu = true
  ## If true, collect raw CPU time metrics.
  collect_cpu_time = false
  ## If true, compute and report the sum of all non-idle CPU states.
  report_active = false

# Read metrics about disk usage by mount point
[[inputs.disk]]
  ## By default stats will be gathered for all mount points.
  ## Set mount_points will restrict the stats to only the specified mount points.
  # mount_points = [&quot;/&quot;]

## Ignore mount points by filesystem type.
  ignore_fs = [&quot;tmpfs&quot;, &quot;devtmpfs&quot;, &quot;devfs&quot;, &quot;iso9660&quot;, &quot;overlay&quot;, &quot;aufs&quot;, &quot;squashfs&quot;]

# Read metrics about disk IO by device
[[inputs.diskio]]
  ## By default, telegraf will gather stats for all devices including
  ## disk partitions.
  ## Setting devices will restrict the stats to the specified devices.
  # devices = [&quot;sda&quot;, &quot;sdb&quot;, &quot;vd*&quot;]
  ## Uncomment the following line if you need disk serial numbers.
  # skip_serial_number = false
  #
  ## On systems which support it, device metadata can be added in the form of
  ## tags.
  ## Currently only Linux is supported via udev properties. You can view
  ## available properties for a device by running:
  ## 'udevadm info -q property -n /dev/sda'
  ## Note: Most, but not all, udev properties can be accessed this way. Properties
  ## that are currently inaccessible include DEVTYPE, DEVNAME, and DEVPATH.
  # device_tags = [&quot;ID_FS_TYPE&quot;, &quot;ID_FS_USAGE&quot;]
  #
  ## Using the same metadata source as device_tags, you can also customize the
  ## name of the device via templates.
  ## The 'name_templates' parameter is a list of templates to try and apply to
  ## the device. The template may contain variables in the form of '$PROPERTY' or
  ## '${PROPERTY}'. The first template which does not contain any variables not
  ## present for the device is used as the device name tag.
  ## The typical use case is for LVM volumes, to get the VG/LV name instead of
  ## the near-meaningless DM-0 name.
  # name_templates = [&quot;$ID_FS_LABEL&quot;,&quot;$DM_VG_NAME/$DM_LV_NAME&quot;]

# Get kernel statistics from /proc/stat
[[inputs.kernel]]
  # no configuration

# Read metrics about memory usage
[[inputs.mem]]
  # no configuration

# Get the number of processes and group them by status
[[inputs.processes]]
  # no configuration

# Read metrics about swap memory usage
[[inputs.swap]]
  # no configuration

# Read metrics about system load &amp; uptime
[[inputs.system]]
  ## Uncomment to remove deprecated metrics.
  # fielddrop = [&quot;uptime_format&quot;]

# # Gather ActiveMQ metrics
# [[inputs.activemq]]
#   ## ActiveMQ WebConsole URL
#   url = &quot;http://127.0.0.1:8161&quot;
#
#   ## Required ActiveMQ Endpoint
#   ##   deprecated in 1.11; use the url option
#   # server = &quot;127.0.0.1&quot;
#   # port = 8161
#
#   ## Credentials for basic HTTP authentication
#   # username = &quot;admin&quot;
#   # password = &quot;admin&quot;
#
#   ## Required ActiveMQ webadmin root path
#   # webadmin = &quot;admin&quot;
#
#   ## Maximum time to receive response.
#   # response_timeout = &quot;5s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Read stats from aerospike server(s)
# [[inputs.aerospike]]
#   ## Aerospike servers to connect to (with port)
#   ## This plugin will query all namespaces the aerospike
#   ## server has configured and get stats for them.
#   servers = [&quot;localhost:3000&quot;]
#
#   # username = &quot;telegraf&quot;
#   # password = &quot;pa$$word&quot;
#
#   ## Optional TLS Config
#   # enable_tls = false
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## If false, skip chain &amp; host verification
#   # insecure_skip_verify = true
#
#   # Feature Options
#   # Add namespace variable to limit the namespaces executed on
#   # Leave blank to do all
#   # disable_query_namespaces = true # default false
#   # namespaces = [&quot;namespace1&quot;, &quot;namespace2&quot;]
#
#   # Enable set level telmetry
#   # query_sets = true # default: false
#   # Add namespace set combinations to limit sets executed on
#   # Leave blank to do all sets
#   # sets = [&quot;namespace1/set1&quot;, &quot;namespace1/set2&quot;, &quot;namespace3&quot;]
#
#   # Histograms
#   # enable_ttl_histogram = true # default: false
#   # enable_object_size_linear_histogram = true # default: false
#
#   # by default, aerospike produces a 100 bucket histogram
#   # this is not great for most graphing tools, this will allow
#   # the ability to squash this to a smaller number of buckets
#   # num_histogram_buckets = 100 # default: 10

# # Read Apache status information (mod_status)
# [[inputs.apache]]
#   ## An array of URLs to gather from, must be directed at the machine
#   ## readable version of the mod_status page including the auto query string.
#   ## Default is &quot;http://localhost/server-status?auto&quot;.
#   urls = [&quot;http://localhost/server-status?auto&quot;]
#
#   ## Credentials for basic HTTP authentication.
#   # username = &quot;myuser&quot;
#   # password = &quot;mypassword&quot;
#
#   ## Maximum time to receive response.
#   # response_timeout = &quot;5s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Monitor APC UPSes connected to apcupsd
# [[inputs.apcupsd]]
#   # A list of running apcupsd server to connect to.
#   # If not provided will default to tcp://127.0.0.1:3551
#   servers = [&quot;tcp://127.0.0.1:3551&quot;]
#
#   ## Timeout for dialing server.
#   timeout = &quot;5s&quot;

# # Gather metrics from Apache Aurora schedulers
# [[inputs.aurora]]
#   ## Schedulers are the base addresses of your Aurora Schedulers
#   schedulers = [&quot;http://127.0.0.1:8081&quot;]
#
#   ## Set of role types to collect metrics from.
#   ##
#   ## The scheduler roles are checked each interval by contacting the
#   ## scheduler nodes; zookeeper is not contacted.
#   # roles = [&quot;leader&quot;, &quot;follower&quot;]
#
#   ## Timeout is the max time for total network operations.
#   # timeout = &quot;5s&quot;
#
#   ## Username and password are sent using HTTP Basic Auth.
#   # username = &quot;username&quot;
#   # password = &quot;pa$$word&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Gather Azure Storage Queue metrics
# [[inputs.azure_storage_queue]]
#   ## Required Azure Storage Account name
#   account_name = &quot;mystorageaccount&quot;
#
#   ## Required Azure Storage Account access key
#   account_key = &quot;storageaccountaccesskey&quot;
#
#   ## Set to false to disable peeking age of oldest message (executes faster)
#   # peek_oldest_message_age = true

# # Read metrics of bcache from stats_total and dirty_data
# [[inputs.bcache]]
#   ## Bcache sets path
#   ## If not specified, then default is:
#   bcachePath = &quot;/sys/fs/bcache&quot;
#
#   ## By default, telegraf gather stats for all bcache devices
#   ## Setting devices will restrict the stats to the specified
#   ## bcache devices.
#   bcacheDevs = [&quot;bcache0&quot;]

# # Collects Beanstalkd server and tubes stats
# [[inputs.beanstalkd]]
#   ## Server to collect data from
#   server = &quot;localhost:11300&quot;
#
#   ## List of tubes to gather stats about.
#   ## If no tubes specified then data gathered for each tube on server reported by list-tubes command
#   tubes = [&quot;notifications&quot;]

# # Read BIND nameserver XML statistics
# [[inputs.bind]]
#   ## An array of BIND XML statistics URI to gather stats.
#   ## Default is &quot;http://localhost:8053/xml/v3&quot;.
#   # urls = [&quot;http://localhost:8053/xml/v3&quot;]
#   # gather_memory_contexts = false
#   # gather_views = false

# # Collect bond interface status, slaves statuses and failures count
# [[inputs.bond]]
#   ## Sets 'proc' directory path
#   ## If not specified, then default is /proc
#   # host_proc = &quot;/proc&quot;
#
#   ## By default, telegraf gather stats for all bond interfaces
#   ## Setting interfaces will restrict the stats to the specified
#   ## bond interfaces.
#   # bond_interfaces = [&quot;bond0&quot;]

# # Collect Kafka topics and consumers status from Burrow HTTP API.
# [[inputs.burrow]]
#   ## Burrow API endpoints in format &quot;schema://host:port&quot;.
#   ## Default is &quot;http://localhost:8000&quot;.
#   servers = [&quot;http://localhost:8000&quot;]
#
#   ## Override Burrow API prefix.
#   ## Useful when Burrow is behind reverse-proxy.
#   # api_prefix = &quot;/v3/kafka&quot;
#
#   ## Maximum time to receive response.
#   # response_timeout = &quot;5s&quot;
#
#   ## Limit per-server concurrent connections.
#   ## Useful in case of large number of topics or consumer groups.
#   # concurrent_connections = 20
#
#   ## Filter clusters, default is no filtering.
#   ## Values can be specified as glob patterns.
#   # clusters_include = []
#   # clusters_exclude = []
#
#   ## Filter consumer groups, default is no filtering.
#   ## Values can be specified as glob patterns.
#   # groups_include = []
#   # groups_exclude = []
#
#   ## Filter topics, default is no filtering.
#   ## Values can be specified as glob patterns.
#   # topics_include = []
#   # topics_exclude = []
#
#   ## Credentials for basic HTTP authentication.
#   # username = &quot;&quot;
#   # password = &quot;&quot;
#
#   ## Optional SSL config
#   # ssl_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # ssl_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # ssl_key = &quot;/etc/telegraf/key.pem&quot;
#   # insecure_skip_verify = false

# # Collects performance metrics from the MON, OSD, MDS and RGW nodes in a Ceph storage cluster.
# [[inputs.ceph]]
#   ## This is the recommended interval to poll.  Too frequent and you will lose
#   ## data points due to timeouts during rebalancing and recovery
#   interval = '1m'
#
#   ## All configuration values are optional, defaults are shown below
#
#   ## location of ceph binary
#   ceph_binary = &quot;/usr/bin/ceph&quot;
#
#   ## directory in which to look for socket files
#   socket_dir = &quot;/var/run/ceph&quot;
#
#   ## prefix of MON and OSD socket files, used to determine socket type
#   mon_prefix = &quot;ceph-mon&quot;
#   osd_prefix = &quot;ceph-osd&quot;
#   mds_prefix = &quot;ceph-mds&quot;
#   rgw_prefix = &quot;ceph-client&quot;
#
#   ## suffix used to identify socket files
#   socket_suffix = &quot;asok&quot;
#
#   ## Ceph user to authenticate as
#   ceph_user = &quot;client.admin&quot;
#
#   ## Ceph configuration to use to locate the cluster
#   ceph_config = &quot;/etc/ceph/ceph.conf&quot;
#
#   ## Whether to gather statistics via the admin socket
#   gather_admin_socket_stats = true
#
#   ## Whether to gather statistics via ceph commands
#   gather_cluster_stats = false

# # Read specific statistics per cgroup
# [[inputs.cgroup]]
#   ## Directories in which to look for files, globs are supported.
#   ## Consider restricting paths to the set of cgroups you really
#   ## want to monitor if you have a large number of cgroups, to avoid
#   ## any cardinality issues.
#   # paths = [
#   #   &quot;/sys/fs/cgroup/memory&quot;,
#   #   &quot;/sys/fs/cgroup/memory/child1&quot;,
#   #   &quot;/sys/fs/cgroup/memory/child2/*&quot;,
#   # ]
#   ## cgroup stat fields, as file names, globs are supported.
#   ## these file names are appended to each path from above.
#   # files = [&quot;memory.*usage*&quot;, &quot;memory.limit_in_bytes&quot;]

# # Get standard chrony metrics, requires chronyc executable.
# [[inputs.chrony]]
#   ## If true, chronyc tries to perform a DNS lookup for the time server.
#   # dns_lookup = false

# # Pull Metric Statistics from Amazon CloudWatch
# [[inputs.cloudwatch]]
#   ## Amazon Region
#   region = &quot;us-east-1&quot;
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order
#   ## 1) Assumed credentials via STS if role_arn is specified
#   ## 2) explicit credentials from 'access_key' and 'secret_key'
#   ## 3) shared profile from 'profile'
#   ## 4) environment variables
#   ## 5) shared credentials file
#   ## 6) EC2 Instance Profile
#   # access_key = &quot;&quot;
#   # secret_key = &quot;&quot;
#   # token = &quot;&quot;
#   # role_arn = &quot;&quot;
#   # profile = &quot;&quot;
#   # shared_credential_file = &quot;&quot;
#
#   ## Endpoint to make request against, the correct endpoint is automatically
#   ## determined and this option should only be set if you wish to override the
#   ## default.
#   ##   ex: endpoint_url = &quot;http://localhost:8000&quot;
#   # endpoint_url = &quot;&quot;
#
#   # The minimum period for Cloudwatch metrics is 1 minute (60s). However not all
#   # metrics are made available to the 1 minute period. Some are collected at
#   # 3 minute, 5 minute, or larger intervals. See https://aws.amazon.com/cloudwatch/faqs/#monitoring.
#   # Note that if a period is configured that is smaller than the minimum for a
#   # particular metric, that metric will not be returned by the Cloudwatch API
#   # and will not be collected by Telegraf.
#   #
#   ## Requested CloudWatch aggregation Period (required - must be a multiple of 60s)
#   period = &quot;5m&quot;
#
#   ## Collection Delay (required - must account for metrics availability via CloudWatch API)
#   delay = &quot;5m&quot;
#
#   ## Recommended: use metric 'interval' that is a multiple of 'period' to avoid
#   ## gaps or overlap in pulled data
#   interval = &quot;5m&quot;
#
#   ## Recommended if &quot;delay&quot; and &quot;period&quot; are both within 3 hours of request time. Invalid values will be ignored.
#   ## Recently Active feature will only poll for CloudWatch ListMetrics values that occurred within the last 3 Hours.
#   ## If enabled, it will reduce total API usage of the CloudWatch ListMetrics API and require less memory to retain.
#   ## Do not enable if &quot;period&quot; or &quot;delay&quot; is longer than 3 hours, as it will not return data more than 3 hours old.
#   ## See https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_ListMetrics.html
#   #recently_active = &quot;PT3H&quot;
#
#   ## Configure the TTL for the internal cache of metrics.
#   # cache_ttl = &quot;1h&quot;
#
#   ## Metric Statistic Namespace (required)
#   namespace = &quot;AWS/ELB&quot;
#
#   ## Maximum requests per second. Note that the global default AWS rate limit is
#   ## 50 reqs/sec, so if you define multiple namespaces, these should add up to a
#   ## maximum of 50.
#   ## See http://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_limits.html
#   # ratelimit = 25
#
#   ## Timeout for http requests made by the cloudwatch client.
#   # timeout = &quot;5s&quot;
#
#   ## Namespace-wide statistic filters. These allow fewer queries to be made to
#   ## cloudwatch.
#   # statistic_include = [ &quot;average&quot;, &quot;sum&quot;, &quot;minimum&quot;, &quot;maximum&quot;, sample_count&quot; ]
#   # statistic_exclude = []
#
#   ## Metrics to Pull
#   ## Defaults to all Metrics in Namespace if nothing is provided
#   ## Refreshes Namespace available metrics every 1h
#   #[[inputs.cloudwatch.metrics]]
#   #  names = [&quot;Latency&quot;, &quot;RequestCount&quot;]
#   #
#   #  ## Statistic filters for Metric.  These allow for retrieving specific
#   #  ## statistics for an individual metric.
#   #  # statistic_include = [ &quot;average&quot;, &quot;sum&quot;, &quot;minimum&quot;, &quot;maximum&quot;, sample_count&quot; ]
#   #  # statistic_exclude = []
#   #
#   #  ## Dimension filters for Metric.  All dimensions defined for the metric names
#   #  ## must be specified in order to retrieve the metric statistics.
#   #  [[inputs.cloudwatch.metrics.dimensions]]
#   #    name = &quot;LoadBalancerName&quot;
#   #    value = &quot;p-example&quot;

# # Collects conntrack stats from the configured directories and files.
# [[inputs.conntrack]]
#    ## The following defaults would work with multiple versions of conntrack.
#    ## Note the nf_ and ip_ filename prefixes are mutually exclusive across
#    ## kernel versions, as are the directory locations.
#
#    ## Superset of filenames to look for within the conntrack dirs.
#    ## Missing files will be ignored.
#    files = [&quot;ip_conntrack_count&quot;,&quot;ip_conntrack_max&quot;,
#             &quot;nf_conntrack_count&quot;,&quot;nf_conntrack_max&quot;]
#
#    ## Directories to search within for the conntrack files above.
#    ## Missing directories will be ignored.
#    dirs = [&quot;/proc/sys/net/ipv4/netfilter&quot;,&quot;/proc/sys/net/netfilter&quot;]

# # Gather health check statuses from services registered in Consul
# [[inputs.consul]]
#   ## Consul server address
#   # address = &quot;localhost:8500&quot;
#
#   ## URI scheme for the Consul server, one of &quot;http&quot;, &quot;https&quot;
#   # scheme = &quot;http&quot;
#
#   ## Metric version controls the mapping from Consul metrics into
#   ## Telegraf metrics.
#   ##
#   ##   example: metric_version = 1; deprecated in 1.15
#   ##            metric_version = 2; recommended version
#   # metric_version = 1
#
#   ## ACL token used in every request
#   # token = &quot;&quot;
#
#   ## HTTP Basic Authentication username and password.
#   # username = &quot;&quot;
#   # password = &quot;&quot;
#
#   ## Data center to query the health checks from
#   # datacenter = &quot;&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = true
#
#   ## Consul checks' tag splitting
#   # When tags are formatted like &quot;key:value&quot; with &quot;:&quot; as a delimiter then
#   # they will be splitted and reported as proper key:value in Telegraf
#   # tag_delimiter = &quot;:&quot;

# # Read metrics from one or many couchbase clusters
# [[inputs.couchbase]]
#   ## specify servers via a url matching:
#   ##  [protocol://][:password]@address[:port]
#   ##  e.g.
#   ##    http://couchbase-0.example.com/
#   ##    http://admin:secret@couchbase-0.example.com:8091/
#   ##
#   ## If no servers are specified, then localhost is used as the host.
#   ## If no protocol is specified, HTTP is used.
#   ## If no port is specified, 8091 is used.
#   servers = [&quot;http://localhost:8091&quot;]

# # Read CouchDB Stats from one or more servers
# [[inputs.couchdb]]
#   ## Works with CouchDB stats endpoints out of the box
#   ## Multiple Hosts from which to read CouchDB stats:
#   hosts = [&quot;http://localhost:8086/_stats&quot;]
#
#   ## Use HTTP Basic Authentication.
#   # basic_username = &quot;telegraf&quot;
#   # basic_password = &quot;p@ssw0rd&quot;

# # Input plugin for DC/OS metrics
# [[inputs.dcos]]
#   ## The DC/OS cluster URL.
#   cluster_url = &quot;https://dcos-ee-master-1&quot;
#
#   ## The ID of the service account.
#   service_account_id = &quot;telegraf&quot;
#   ## The private key file for the service account.
#   service_account_private_key = &quot;/etc/telegraf/telegraf-sa-key.pem&quot;
#
#   ## Path containing login token.  If set, will read on every gather.
#   # token_file = &quot;/home/dcos/.dcos/token&quot;
#
#   ## In all filter options if both include and exclude are empty all items
#   ## will be collected.  Arrays may contain glob patterns.
#   ##
#   ## Node IDs to collect metrics from.  If a node is excluded, no metrics will
#   ## be collected for its containers or apps.
#   # node_include = []
#   # node_exclude = []
#   ## Container IDs to collect container metrics from.
#   # container_include = []
#   # container_exclude = []
#   ## Container IDs to collect app metrics from.
#   # app_include = []
#   # app_exclude = []
#
#   ## Maximum concurrent connections to the cluster.
#   # max_connections = 10
#   ## Maximum time to receive a response from cluster.
#   # response_timeout = &quot;20s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## If false, skip chain &amp; host verification
#   # insecure_skip_verify = true
#
#   ## Recommended filtering to reduce series cardinality.
#   # [inputs.dcos.tagdrop]
#   #   path = [&quot;/var/lib/mesos/slave/slaves/*&quot;]

# # Read metrics from one or many disque servers
# [[inputs.disque]]
#   ## An array of URI to gather stats about. Specify an ip or hostname
#   ## with optional port and password.
#   ## ie disque://localhost, disque://10.10.3.33:18832, 10.0.0.1:10000, etc.
#   ## If no servers are specified, then localhost is used as the host.
#   servers = [&quot;localhost&quot;]

# # Provide a native collection for dmsetup based statistics for dm-cache
# [[inputs.dmcache]]
#   ## Whether to report per-device stats or not
#   per_device = true

# # Query given DNS server and gives statistics
# [[inputs.dns_query]]
#   ## servers to query
#   servers = [&quot;8.8.8.8&quot;]
#
#   ## Network is the network protocol name.
#   # network = &quot;udp&quot;
#
#   ## Domains or subdomains to query.
#   # domains = [&quot;.&quot;]
#
#   ## Query record type.
#   ## Possible values: A, AAAA, CNAME, MX, NS, PTR, TXT, SOA, SPF, SRV.
#   # record_type = &quot;A&quot;
#
#   ## Dns server port.
#   # port = 53
#
#   ## Query timeout in seconds.
#   # timeout = 2

# # Read metrics about docker containers
# [[inputs.docker]]
#   ## Docker Endpoint
#   ##   To use TCP, set endpoint = &quot;tcp://[ip]:[port]&quot;
#   ##   To use environment variables (ie, docker-machine), set endpoint = &quot;ENV&quot;
#   endpoint = &quot;unix:///var/run/docker.sock&quot;
#
#   ## Set to true to collect Swarm metrics(desired_replicas, running_replicas)
#   gather_services = false
#
#   ## Only collect metrics for these containers, collect all if empty
#   container_names = []
#
#   ## Set the source tag for the metrics to the container ID hostname, eg first 12 chars
#   source_tag = false
#
#   ## Containers to include and exclude. Globs accepted.
#   ## Note that an empty array for both will include all containers
#   container_name_include = []
#   container_name_exclude = []
#
#   ## Container states to include and exclude. Globs accepted.
#   ## When empty only containers in the &quot;running&quot; state will be captured.
#   ## example: container_state_include = [&quot;created&quot;, &quot;restarting&quot;, &quot;running&quot;, &quot;removing&quot;, &quot;paused&quot;, &quot;exited&quot;, &quot;dead&quot;]
#   ## example: container_state_exclude = [&quot;created&quot;, &quot;restarting&quot;, &quot;running&quot;, &quot;removing&quot;, &quot;paused&quot;, &quot;exited&quot;, &quot;dead&quot;]
#   # container_state_include = []
#   # container_state_exclude = []
#
#   ## Timeout for docker list, info, and stats commands
#   timeout = &quot;5s&quot;
#
#   ## Whether to report for each container per-device blkio (8:0, 8:1...) and
#   ## network (eth0, eth1, ...) stats or not
#   perdevice = true
#
#   ## Whether to report for each container total blkio and network stats or not
#   total = false
#
#   ## Which environment variables should we use as a tag
#   ##tag_env = [&quot;JAVA_HOME&quot;, &quot;HEAP_SIZE&quot;]
#
#   ## docker labels to include and exclude as tags.  Globs accepted.
#   ## Note that an empty array for both will include all labels as tags
#   docker_label_include = []
#   docker_label_exclude = []
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Read statistics from one or many dovecot servers
# [[inputs.dovecot]]
#   ## specify dovecot servers via an address:port list
#   ##  e.g.
#   ##    localhost:24242
#   ##
#   ## If no servers are specified, then localhost is used as the host.
#   servers = [&quot;localhost:24242&quot;]
#
#   ## Type is one of &quot;user&quot;, &quot;domain&quot;, &quot;ip&quot;, or &quot;global&quot;
#   type = &quot;global&quot;
#
#   ## Wildcard matches like &quot;*.com&quot;. An empty string &quot;&quot; is same as &quot;*&quot;
#   ## If type = &quot;ip&quot; filters should be &lt;IP/network&gt;
#   filters = [&quot;&quot;]

# # Read metrics about docker containers from Fargate/ECS v2, v3 meta endpoints.
# [[inputs.ecs]]
#   ## ECS metadata url.
#   ## Metadata v2 API is used if set explicitly. Otherwise,
#   ## v3 metadata endpoint API is used if available.
#   # endpoint_url = &quot;&quot;
#
#   ## Containers to include and exclude. Globs accepted.
#   ## Note that an empty array for both will include all containers
#   # container_name_include = []
#   # container_name_exclude = []
#
#   ## Container states to include and exclude. Globs accepted.
#   ## When empty only containers in the &quot;RUNNING&quot; state will be captured.
#   ## Possible values are &quot;NONE&quot;, &quot;PULLED&quot;, &quot;CREATED&quot;, &quot;RUNNING&quot;,
#   ## &quot;RESOURCES_PROVISIONED&quot;, &quot;STOPPED&quot;.
#   # container_status_include = []
#   # container_status_exclude = []
#
#   ## ecs labels to include and exclude as tags.  Globs accepted.
#   ## Note that an empty array for both will include all labels as tags
#   ecs_label_include = [ &quot;com.amazonaws.ecs.*&quot; ]
#   ecs_label_exclude = []
#
#   ## Timeout for queries.
#   # timeout = &quot;5s&quot;

# # Read stats from one or more Elasticsearch servers or clusters
# [[inputs.elasticsearch]]
#   ## specify a list of one or more Elasticsearch servers
#   # you can add username and password to your url to use basic authentication:
#   # servers = [&quot;http://user:pass@localhost:9200&quot;]
#   servers = [&quot;http://localhost:9200&quot;]
#
#   ## Timeout for HTTP requests to the elastic search server(s)
#   http_timeout = &quot;5s&quot;
#
#   ## When local is true (the default), the node will read only its own stats.
#   ## Set local to false when you want to read the node stats from all nodes
#   ## of the cluster.
#   local = true
#
#   ## Set cluster_health to true when you want to also obtain cluster health stats
#   cluster_health = false
#
#   ## Adjust cluster_health_level when you want to also obtain detailed health stats
#   ## The options are
#   ##  - indices (default)
#   ##  - cluster
#   # cluster_health_level = &quot;indices&quot;
#
#   ## Set cluster_stats to true when you want to also obtain cluster stats.
#   cluster_stats = false
#
#   ## Only gather cluster_stats from the master node. To work this require local = true
#   cluster_stats_only_from_master = true
#
#   ## Indices to collect; can be one or more indices names or _all
#   indices_include = [&quot;_all&quot;]
#
#   ## One of &quot;shards&quot;, &quot;cluster&quot;, &quot;indices&quot;
#   indices_level = &quot;shards&quot;
#
#   ## node_stats is a list of sub-stats that you want to have gathered. Valid options
#   ## are &quot;indices&quot;, &quot;os&quot;, &quot;process&quot;, &quot;jvm&quot;, &quot;thread_pool&quot;, &quot;fs&quot;, &quot;transport&quot;, &quot;http&quot;,
#   ## &quot;breaker&quot;. Per default, all stats are gathered.
#   # node_stats = [&quot;jvm&quot;, &quot;http&quot;]
#
#   ## HTTP Basic Authentication username and password.
#   # username = &quot;&quot;
#   # password = &quot;&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Returns ethtool statistics for given interfaces
# [[inputs.ethtool]]
#   ## List of interfaces to pull metrics for
#   # interface_include = [&quot;eth0&quot;]
#
#   ## List of interfaces to ignore when pulling metrics.
#   # interface_exclude = [&quot;eth1&quot;]

# # Read metrics from one or more commands that can output to stdout
# [[inputs.exec]]
#   ## Commands array
#   commands = [
#     &quot;/tmp/test.sh&quot;,
#     &quot;/usr/bin/mycollector --foo=bar&quot;,
#     &quot;/tmp/collect_*.sh&quot;
#   ]
#
#   ## Timeout for each command to complete.
#   timeout = &quot;5s&quot;
#
#   ## measurement name suffix (for separating different commands)
#   name_suffix = &quot;_mycollector&quot;
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = &quot;influx&quot;

# # Read metrics from fail2ban.
# [[inputs.fail2ban]]
#   ## Use sudo to run fail2ban-client
#   use_sudo = false

# # Read devices value(s) from a Fibaro controller
# [[inputs.fibaro]]
#   ## Required Fibaro controller address/hostname.
#   ## Note: at the time of writing this plugin, Fibaro only implemented http - no https available
#   url = &quot;http://&lt;controller&gt;:80&quot;
#
#   ## Required credentials to access the API (http://&lt;controller/api/&lt;component&gt;)
#   username = &quot;&lt;username&gt;&quot;
#   password = &quot;&lt;password&gt;&quot;
#
#   ## Amount of time allowed to complete the HTTP request
#   # timeout = &quot;5s&quot;

# # Parse a complete file each interval
# [[inputs.file]]
#   ## Files to parse each interval.  Accept standard unix glob matching rules,
#   ## as well as ** to match recursive files and directories.
#   files = [&quot;/tmp/metrics.out&quot;]
#
#   ## Name a tag containing the name of the file the data was parsed from.  Leave empty
#   ## to disable.
#   # file_tag = &quot;&quot;
#
#   ## Character encoding to use when interpreting the file contents.  Invalid
#   ## characters are replaced using the unicode replacement character.  When set
#   ## to the empty string the data is not decoded to text.
#   ##   ex: character_encoding = &quot;utf-8&quot;
#   ##       character_encoding = &quot;utf-16le&quot;
#   ##       character_encoding = &quot;utf-16be&quot;
#   ##       character_encoding = &quot;&quot;
#   # character_encoding = &quot;&quot;
#
#   ## The dataformat to be read from files
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = &quot;influx&quot;

# # Count files in a directory
# [[inputs.filecount]]
#   ## Directory to gather stats about.
#   ##   deprecated in 1.9; use the directories option
#   # directory = &quot;/var/cache/apt/archives&quot;
#
#   ## Directories to gather stats about.
#   ## This accept standard unit glob matching rules, but with the addition of
#   ## ** as a &quot;super asterisk&quot;. ie:
#   ##   /var/log/**    -&gt; recursively find all directories in /var/log and count files in each directories
#   ##   /var/log/*/*   -&gt; find all directories with a parent dir in /var/log and count files in each directories
#   ##   /var/log       -&gt; count all files in /var/log and all of its subdirectories
#   directories = [&quot;/var/cache/apt/archives&quot;]
#
#   ## Only count files that match the name pattern. Defaults to &quot;*&quot;.
#   name = &quot;*.deb&quot;
#
#   ## Count files in subdirectories. Defaults to true.
#   recursive = false
#
#   ## Only count regular files. Defaults to true.
#   regular_only = true
#
#   ## Follow all symlinks while walking the directory tree. Defaults to false.
#   follow_symlinks = false
#
#   ## Only count files that are at least this size. If size is
#   ## a negative number, only count files that are smaller than the
#   ## absolute value of size. Acceptable units are B, KiB, MiB, KB, ...
#   ## Without quotes and units, interpreted as size in bytes.
#   size = &quot;0B&quot;
#
#   ## Only count files that have not been touched for at least this
#   ## duration. If mtime is negative, only count files that have been
#   ## touched in this duration. Defaults to &quot;0s&quot;.
#   mtime = &quot;0s&quot;

# # Read stats about given file(s)
# [[inputs.filestat]]
#   ## Files to gather stats about.
#   ## These accept standard unix glob matching rules, but with the addition of
#   ## ** as a &quot;super asterisk&quot;. ie:
#   ##   &quot;/var/log/**.log&quot;  -&gt; recursively find all .log files in /var/log
#   ##   &quot;/var/log/*/*.log&quot; -&gt; find all .log files with a parent dir in /var/log
#   ##   &quot;/var/log/apache.log&quot; -&gt; just tail the apache log file
#   ##
#   ## See https://github.com/gobwas/glob for more examples
#   ##
#   files = [&quot;/var/log/**.log&quot;]
#
#   ## If true, read the entire file and calculate an md5 checksum.
#   md5 = false

# # Read real time temps from fireboard.io servers
# [[inputs.fireboard]]
#   ## Specify auth token for your account
#   auth_token = &quot;invalidAuthToken&quot;
#   ## You can override the fireboard server URL if necessary
#   # url = https://fireboard.io/api/v1/devices.json
#   ## You can set a different http_timeout if you need to
#   ## You should set a string using an number and time indicator
#   ## for example &quot;12s&quot; for 12 seconds.
#   # http_timeout = &quot;4s&quot;

# # Read metrics exposed by fluentd in_monitor plugin
# [[inputs.fluentd]]
#   ## This plugin reads information exposed by fluentd (using /api/plugins.json endpoint).
#   ##
#   ## Endpoint:
#   ## - only one URI is allowed
#   ## - https is not supported
#   endpoint = &quot;http://localhost:24220/api/plugins.json&quot;
#
#   ## Define which plugins have to be excluded (based on &quot;type&quot; field - e.g. monitor_agent)
#   exclude = [
# 	  &quot;monitor_agent&quot;,
# 	  &quot;dummy&quot;,
#   ]

# # Gather repository information from GitHub hosted repositories.
# [[inputs.github]]
#   ## List of repositories to monitor.
#   repositories = [
# 	  &quot;influxdata/telegraf&quot;,
# 	  &quot;influxdata/influxdb&quot;
#   ]
#
#   ## Github API access token.  Unauthenticated requests are limited to 60 per hour.
#   # access_token = &quot;&quot;
#
#   ## Github API enterprise url. Github Enterprise accounts must specify their base url.
#   # enterprise_base_url = &quot;&quot;
#
#   ## Timeout for HTTP requests.
#   # http_timeout = &quot;5s&quot;

# # Read flattened metrics from one or more GrayLog HTTP endpoints
# [[inputs.graylog]]
#   ## API endpoint, currently supported API:
#   ##
#   ##   - multiple  (Ex http://&lt;host&gt;:12900/system/metrics/multiple)
#   ##   - namespace (Ex http://&lt;host&gt;:12900/system/metrics/namespace/{namespace})
#   ##
#   ## For namespace endpoint, the metrics array will be ignored for that call.
#   ## Endpoint can contain namespace and multiple type calls.
#   ##
#   ## Please check http://[graylog-server-ip]:12900/api-browser for full list
#   ## of endpoints
#   servers = [
#     &quot;http://[graylog-server-ip]:12900/system/metrics/multiple&quot;,
#   ]
#
#   ## Metrics list
#   ## List of metrics can be found on Graylog webservice documentation.
#   ## Or by hitting the the web service api at:
#   ##   http://[graylog-host]:12900/system/metrics
#   metrics = [
#     &quot;jvm.cl.loaded&quot;,
#     &quot;jvm.memory.pools.Metaspace.committed&quot;
#   ]
#
#   ## Username and password
#   username = &quot;&quot;
#   password = &quot;&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Read metrics of haproxy, via socket or csv stats page
# [[inputs.haproxy]]
#   ## An array of address to gather stats about. Specify an ip on hostname
#   ## with optional port. ie localhost, 10.10.3.33:1936, etc.
#   ## Make sure you specify the complete path to the stats endpoint
#   ## including the protocol, ie http://10.10.3.33:1936/haproxy?stats
#
#   ## If no servers are specified, then default to 127.0.0.1:1936/haproxy?stats
#   servers = [&quot;http://myhaproxy.com:1936/haproxy?stats&quot;]
#
#   ## Credentials for basic HTTP authentication
#   # username = &quot;admin&quot;
#   # password = &quot;admin&quot;
#
#   ## You can also use local socket with standard wildcard globbing.
#   ## Server address not starting with 'http' will be treated as a possible
#   ## socket, so both examples below are valid.
#   # servers = [&quot;socket:/run/haproxy/admin.sock&quot;, &quot;/run/haproxy/*.sock&quot;]
#
#   ## By default, some of the fields are renamed from what haproxy calls them.
#   ## Setting this option to true results in the plugin keeping the original
#   ## field names.
#   # keep_field_names = false
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Monitor disks' temperatures using hddtemp
# [[inputs.hddtemp]]
#   ## By default, telegraf gathers temps data from all disks detected by the
#   ## hddtemp.
#   ##
#   ## Only collect temps from the selected disks.
#   ##
#   ## A * as the device name will return the temperature values of all disks.
#   ##
#   # address = &quot;127.0.0.1:7634&quot;
#   # devices = [&quot;sda&quot;, &quot;*&quot;]

# # Read formatted metrics from one or more HTTP endpoints
# [[inputs.http]]
#   ## One or more URLs from which to read formatted metrics
#   urls = [
#     &quot;http://localhost/metrics&quot;
#   ]
#
#   ## HTTP method
#   # method = &quot;GET&quot;
#
#   ## Optional HTTP headers
#   # headers = {&quot;X-Special-Header&quot; = &quot;Special-Value&quot;}
#
#   ## Optional file with Bearer token
#   ## file content is added as an Authorization header
#   # bearer_token = &quot;/path/to/file&quot;
#
#   ## Optional HTTP Basic Auth Credentials
#   # username = &quot;username&quot;
#   # password = &quot;pa$$word&quot;
#
#   ## HTTP entity-body to send with POST/PUT requests.
#   # body = &quot;&quot;
#
#   ## HTTP Content-Encoding for write request body, can be set to &quot;gzip&quot; to
#   ## compress body or &quot;identity&quot; to apply no encoding.
#   # content_encoding = &quot;identity&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## Amount of time allowed to complete the HTTP request
#   # timeout = &quot;5s&quot;
#
#   ## List of success status codes
#   # success_status_codes = [200]
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   # data_format = &quot;influx&quot;

# # HTTP/HTTPS request given an address a method and a timeout
# [[inputs.http_response]]
#   ## Deprecated in 1.12, use 'urls'
#   ## Server address (default http://localhost)
#   # address = &quot;http://localhost&quot;
#
#   ## List of urls to query.
#   # urls = [&quot;http://localhost&quot;]
#
#   ## Set http_proxy (telegraf uses the system wide proxy settings if it's is not set)
#   # http_proxy = &quot;http://localhost:8888&quot;
#
#   ## Set response_timeout (default 5 seconds)
#   # response_timeout = &quot;5s&quot;
#
#   ## HTTP Request Method
#   # method = &quot;GET&quot;
#
#   ## Whether to follow redirects from the server (defaults to false)
#   # follow_redirects = false
#
#   ## Optional file with Bearer token
#   ## file content is added as an Authorization header
#   # bearer_token = &quot;/path/to/file&quot;
#
#   ## Optional HTTP Basic Auth Credentials
#   # username = &quot;username&quot;
#   # password = &quot;pa$$word&quot;
#
#   ## Optional HTTP Request Body
#   # body = '''
#   # {'fake':'data'}
#   # '''
#
#   ## Optional name of the field that will contain the body of the response.
#   ## By default it is set to an empty String indicating that the body's content won't be added
#   # response_body_field = ''
#
#   ## Maximum allowed HTTP response body size in bytes.
#   ## 0 means to use the default of 32MiB.
#   ## If the response body size exceeds this limit a &quot;body_read_error&quot; will be raised
#   # response_body_max_size = &quot;32MiB&quot;
#
#   ## Optional substring or regex match in body of the response (case sensitive)
#   # response_string_match = &quot;\&quot;service_status\&quot;: \&quot;up\&quot;&quot;
#   # response_string_match = &quot;ok&quot;
#   # response_string_match = &quot;\&quot;.*_status\&quot;.?:.?\&quot;up\&quot;&quot;
#
#   ## Expected response status code.
#   ## The status code of the response is compared to this value. If they match, the field
#   ## &quot;response_status_code_match&quot; will be 1, otherwise it will be 0. If the
#   ## expected status code is 0, the check is disabled and the field won't be added.
#   # response_status_code = 0
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## HTTP Request Headers (all values must be strings)
#   # [inputs.http_response.headers]
#   #   Host = &quot;github.com&quot;
#
#   ## Optional setting to map response http headers into tags
#   ## If the http header is not present on the request, no corresponding tag will be added
#   ## If multiple instances of the http header are present, only the first value will be used
#   # http_header_tags = {&quot;HTTP_HEADER&quot; = &quot;TAG_NAME&quot;}
#
#   ## Interface to use when dialing an address
#   # interface = &quot;eth0&quot;

# # Read flattened metrics from one or more JSON HTTP endpoints
# [[inputs.httpjson]]
#   ## NOTE This plugin only reads numerical measurements, strings and booleans
#   ## will be ignored.
#
#   ## Name for the service being polled.  Will be appended to the name of the
#   ## measurement e.g. httpjson_webserver_stats
#   ##
#   ## Deprecated (1.3.0): Use name_override, name_suffix, name_prefix instead.
#   name = &quot;webserver_stats&quot;
#
#   ## URL of each server in the service's cluster
#   servers = [
#     &quot;http://localhost:9999/stats/&quot;,
#     &quot;http://localhost:9998/stats/&quot;,
#   ]
#   ## Set response_timeout (default 5 seconds)
#   response_timeout = &quot;5s&quot;
#
#   ## HTTP method to use: GET or POST (case-sensitive)
#   method = &quot;GET&quot;
#
#   ## List of tag names to extract from top-level of JSON server response
#   # tag_keys = [
#   #   &quot;my_tag_1&quot;,
#   #   &quot;my_tag_2&quot;
#   # ]
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## HTTP parameters (all values must be strings).  For &quot;GET&quot; requests, data
#   ## will be included in the query.  For &quot;POST&quot; requests, data will be included
#   ## in the request body as &quot;x-www-form-urlencoded&quot;.
#   # [inputs.httpjson.parameters]
#   #   event_type = &quot;cpu_spike&quot;
#   #   threshold = &quot;0.75&quot;
#
#   ## HTTP Headers (all values must be strings)
#   # [inputs.httpjson.headers]
#   #   X-Auth-Token = &quot;my-xauth-token&quot;
#   #   apiVersion = &quot;v1&quot;

# # Gather Icinga2 status
# [[inputs.icinga2]]
#   ## Required Icinga2 server address
#   # server = &quot;https://localhost:5665&quot;
#
#   ## Required Icinga2 object type (&quot;services&quot; or &quot;hosts&quot;)
#   # object_type = &quot;services&quot;
#
#   ## Credentials for basic HTTP authentication
#   # username = &quot;admin&quot;
#   # password = &quot;admin&quot;
#
#   ## Maximum time to receive response.
#   # response_timeout = &quot;5s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = true

# # Gets counters from all InfiniBand cards and ports installed
# [[inputs.infiniband]]
#   # no configuration

# # Read InfluxDB-formatted JSON metrics from one or more HTTP endpoints
# [[inputs.influxdb]]
#   ## Works with InfluxDB debug endpoints out of the box,
#   ## but other services can use this format too.
#   ## See the influxdb plugin's README for more details.
#
#   ## Multiple URLs from which to read InfluxDB-formatted JSON
#   ## Default is &quot;http://localhost:8086/debug/vars&quot;.
#   urls = [
#     &quot;http://localhost:8086/debug/vars&quot;
#   ]
#
#   ## Username and password to send using HTTP Basic Authentication.
#   # username = &quot;&quot;
#   # password = &quot;&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## http request &amp; header timeout
#   timeout = &quot;5s&quot;

# # Collect statistics about itself
# [[inputs.internal]]
#   ## If true, collect telegraf memory stats.
#   # collect_memstats = true

# # This plugin gathers interrupts data from /proc/interrupts and /proc/softirqs.
# [[inputs.interrupts]]
#   ## When set to true, cpu metrics are tagged with the cpu.  Otherwise cpu is
#   ## stored as a field.
#   ##
#   ## The default is false for backwards compatibility, and will be changed to
#   ## true in a future version.  It is recommended to set to true on new
#   ## deployments.
#   # cpu_as_tag = false
#
#   ## To filter which IRQs to collect, make use of tagpass / tagdrop, i.e.
#   # [inputs.interrupts.tagdrop]
#   #   irq = [ &quot;NET_RX&quot;, &quot;TASKLET&quot; ]

# # Read metrics from the bare metal servers via IPMI
# [[inputs.ipmi_sensor]]
#   ## optionally specify the path to the ipmitool executable
#   # path = &quot;/usr/bin/ipmitool&quot;
#   ##
#   ## Setting 'use_sudo' to true will make use of sudo to run ipmitool.
#   ## Sudo must be configured to allow the telegraf user to run ipmitool
#   ## without a password.
#   # use_sudo = false
#   ##
#   ## optionally force session privilege level. Can be CALLBACK, USER, OPERATOR, ADMINISTRATOR
#   # privilege = &quot;ADMINISTRATOR&quot;
#   ##
#   ## optionally specify one or more servers via a url matching
#   ##  [username[:password]@][protocol[(address)]]
#   ##  e.g.
#   ##    root:passwd@lan(127.0.0.1)
#   ##
#   ## if no servers are specified, local machine sensor stats will be queried
#   ##
#   # servers = [&quot;USERID:PASSW0RD@lan(192.168.1.1)&quot;]
#
#   ## Recommended: use metric 'interval' that is a multiple of 'timeout' to avoid
#   ## gaps or overlap in pulled data
#   interval = &quot;30s&quot;
#
#   ## Timeout for the ipmitool command to complete
#   timeout = &quot;20s&quot;
#
#   ## Schema Version: (Optional, defaults to version 1)
#   metric_version = 2

# # Gather packets and bytes counters from Linux ipsets
# [[inputs.ipset]]
#   ## By default, we only show sets which have already matched at least 1 packet.
#   ## set include_unmatched_sets = true to gather them all.
#   include_unmatched_sets = false
#   ## Adjust your sudo settings appropriately if using this option (&quot;sudo ipset save&quot;)
#   use_sudo = false
#   ## The default timeout of 1s for ipset execution can be overridden here:
#   # timeout = &quot;1s&quot;

# # Gather packets and bytes throughput from iptables
# [[inputs.iptables]]
#   ## iptables require root access on most systems.
#   ## Setting 'use_sudo' to true will make use of sudo to run iptables.
#   ## Users must configure sudo to allow telegraf user to run iptables with no password.
#   ## iptables can be restricted to only list command &quot;iptables -nvL&quot;.
#   use_sudo = false
#   ## Setting 'use_lock' to true runs iptables with the &quot;-w&quot; option.
#   ## Adjust your sudo settings appropriately if using this option (&quot;iptables -w 5 -nvl&quot;)
#   use_lock = false
#   ## Define an alternate executable, such as &quot;ip6tables&quot;. Default is &quot;iptables&quot;.
#   # binary = &quot;ip6tables&quot;
#   ## defines the table to monitor:
#   table = &quot;filter&quot;
#   ## defines the chains to monitor.
#   ## NOTE: iptables rules without a comment will not be monitored.
#   ## Read the plugin documentation for more information.
#   chains = [ &quot;INPUT&quot; ]

# # Collect virtual and real server stats from Linux IPVS
# [[inputs.ipvs]]
#   # no configuration

# # Read jobs and cluster metrics from Jenkins instances
# [[inputs.jenkins]]
#   ## The Jenkins URL in the format &quot;schema://host:port&quot;
#   url = &quot;http://my-jenkins-instance:8080&quot;
#   # username = &quot;admin&quot;
#   # password = &quot;admin&quot;
#
#   ## Set response_timeout
#   response_timeout = &quot;5s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use SSL but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## Optional Max Job Build Age filter
#   ## Default 1 hour, ignore builds older than max_build_age
#   # max_build_age = &quot;1h&quot;
#
#   ## Optional Sub Job Depth filter
#   ## Jenkins can have unlimited layer of sub jobs
#   ## This config will limit the layers of pulling, default value 0 means
#   ## unlimited pulling until no more sub jobs
#   # max_subjob_depth = 0
#
#   ## Optional Sub Job Per Layer
#   ## In workflow-multibranch-plugin, each branch will be created as a sub job.
#   ## This config will limit to call only the lasted branches in each layer,
#   ## empty will use default value 10
#   # max_subjob_per_layer = 10
#
#   ## Jobs to exclude from gathering
#   # job_exclude = [ &quot;job1&quot;, &quot;job2/subjob1/subjob2&quot;, &quot;job3/*&quot;]
#
#   ## Nodes to exclude from gathering
#   # node_exclude = [ &quot;node1&quot;, &quot;node2&quot; ]
#
#   ## Worker pool for jenkins plugin only
#   ## Empty this field will use default value 5
#   # max_connections = 5

# # Read JMX metrics through Jolokia
# [[inputs.jolokia]]
#   # DEPRECATED: the jolokia plugin has been deprecated in favor of the
#   # jolokia2 plugin
#   # see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/jolokia2
#
#   ## This is the context root used to compose the jolokia url
#   ## NOTE that Jolokia requires a trailing slash at the end of the context root
#   ## NOTE that your jolokia security policy must allow for POST requests.
#   context = &quot;/jolokia/&quot;
#
#   ## This specifies the mode used
#   # mode = &quot;proxy&quot;
#   #
#   ## When in proxy mode this section is used to specify further
#   ## proxy address configurations.
#   ## Remember to change host address to fit your environment.
#   # [inputs.jolokia.proxy]
#   #   host = &quot;127.0.0.1&quot;
#   #   port = &quot;8080&quot;
#
#   ## Optional http timeouts
#   ##
#   ## response_header_timeout, if non-zero, specifies the amount of time to wait
#   ## for a server's response headers after fully writing the request.
#   # response_header_timeout = &quot;3s&quot;
#   ##
#   ## client_timeout specifies a time limit for requests made by this client.
#   ## Includes connection time, any redirects, and reading the response body.
#   # client_timeout = &quot;4s&quot;
#
#   ## Attribute delimiter
#   ##
#   ## When multiple attributes are returned for a single
#   ## [inputs.jolokia.metrics], the field name is a concatenation of the metric
#   ## name, and the attribute name, separated by the given delimiter.
#   # delimiter = &quot;_&quot;
#
#   ## List of servers exposing jolokia read service
#   [[inputs.jolokia.servers]]
#     name = &quot;as-server-01&quot;
#     host = &quot;127.0.0.1&quot;
#     port = &quot;8080&quot;
#     # username = &quot;myuser&quot;
#     # password = &quot;mypassword&quot;
#
#   ## List of metrics collected on above servers
#   ## Each metric consists in a name, a jmx path and either
#   ## a pass or drop slice attribute.
#   ## This collect all heap memory usage metrics.
#   [[inputs.jolokia.metrics]]
#     name = &quot;heap_memory_usage&quot;
#     mbean  = &quot;java.lang:type=Memory&quot;
#     attribute = &quot;HeapMemoryUsage&quot;
#
#   ## This collect thread counts metrics.
#   [[inputs.jolokia.metrics]]
#     name = &quot;thread_count&quot;
#     mbean  = &quot;java.lang:type=Threading&quot;
#     attribute = &quot;TotalStartedThreadCount,ThreadCount,DaemonThreadCount,PeakThreadCount&quot;
#
#   ## This collect number of class loaded/unloaded counts metrics.
#   [[inputs.jolokia.metrics]]
#     name = &quot;class_count&quot;
#     mbean  = &quot;java.lang:type=ClassLoading&quot;
#     attribute = &quot;LoadedClassCount,UnloadedClassCount,TotalLoadedClassCount&quot;

# # Read JMX metrics from a Jolokia REST agent endpoint
# [[inputs.jolokia2_agent]]
#   # default_tag_prefix      = &quot;&quot;
#   # default_field_prefix    = &quot;&quot;
#   # default_field_separator = &quot;.&quot;
#
#   # Add agents URLs to query
#   urls = [&quot;http://localhost:8080/jolokia&quot;]
#   # username = &quot;&quot;
#   # password = &quot;&quot;
#   # response_timeout = &quot;5s&quot;
#
#   ## Optional TLS config
#   # tls_ca   = &quot;/var/private/ca.pem&quot;
#   # tls_cert = &quot;/var/private/client.pem&quot;
#   # tls_key  = &quot;/var/private/client-key.pem&quot;
#   # insecure_skip_verify = false
#
#   ## Add metrics to read
#   [[inputs.jolokia2_agent.metric]]
#     name  = &quot;java_runtime&quot;
#     mbean = &quot;java.lang:type=Runtime&quot;
#     paths = [&quot;Uptime&quot;]

# # Read JMX metrics from a Jolokia REST proxy endpoint
# [[inputs.jolokia2_proxy]]
#   # default_tag_prefix      = &quot;&quot;
#   # default_field_prefix    = &quot;&quot;
#   # default_field_separator = &quot;.&quot;
#
#   ## Proxy agent
#   url = &quot;http://localhost:8080/jolokia&quot;
#   # username = &quot;&quot;
#   # password = &quot;&quot;
#   # response_timeout = &quot;5s&quot;
#
#   ## Optional TLS config
#   # tls_ca   = &quot;/var/private/ca.pem&quot;
#   # tls_cert = &quot;/var/private/client.pem&quot;
#   # tls_key  = &quot;/var/private/client-key.pem&quot;
#   # insecure_skip_verify = false
#
#   ## Add proxy targets to query
#   # default_target_username = &quot;&quot;
#   # default_target_password = &quot;&quot;
#   [[inputs.jolokia2_proxy.target]]
#     url = &quot;service:jmx:rmi:///jndi/rmi://targethost:9999/jmxrmi&quot;
#     # username = &quot;&quot;
#     # password = &quot;&quot;
#
#   ## Add metrics to read
#   [[inputs.jolokia2_proxy.metric]]
#     name  = &quot;java_runtime&quot;
#     mbean = &quot;java.lang:type=Runtime&quot;
#     paths = [&quot;Uptime&quot;]

# # Read Kapacitor-formatted JSON metrics from one or more HTTP endpoints
# [[inputs.kapacitor]]
#   ## Multiple URLs from which to read Kapacitor-formatted JSON
#   ## Default is &quot;http://localhost:9092/kapacitor/v1/debug/vars&quot;.
#   urls = [
#     &quot;http://localhost:9092/kapacitor/v1/debug/vars&quot;
#   ]
#
#   ## Time limit for http requests
#   timeout = &quot;5s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Get kernel statistics from /proc/vmstat
# [[inputs.kernel_vmstat]]
#   # no configuration

# # Read status information from one or more Kibana servers
# [[inputs.kibana]]
#   ## Specify a list of one or more Kibana servers
#   servers = [&quot;http://localhost:5601&quot;]
#
#   ## Timeout for HTTP requests
#   timeout = &quot;5s&quot;
#
#   ## HTTP Basic Auth credentials
#   # username = &quot;username&quot;
#   # password = &quot;pa$$word&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Read metrics from the Kubernetes api
# [[inputs.kube_inventory]]
#   ## URL for the Kubernetes API
#   url = &quot;https://127.0.0.1&quot;
#
#   ## Namespace to use. Set to &quot;&quot; to use all namespaces.
#   # namespace = &quot;default&quot;
#
#   ## Use bearer token for authorization. ('bearer_token' takes priority)
#   ## If both of these are empty, we'll use the default serviceaccount:
#   ## at: /run/secrets/kubernetes.io/serviceaccount/token
#   # bearer_token = &quot;/path/to/bearer/token&quot;
#   ## OR
#   # bearer_token_string = &quot;abc_123&quot;
#
#   ## Set response_timeout (default 5 seconds)
#   # response_timeout = &quot;5s&quot;
#
#   ## Optional Resources to exclude from gathering
#   ## Leave them with blank with try to gather everything available.
#   ## Values can be - &quot;daemonsets&quot;, deployments&quot;, &quot;endpoints&quot;, &quot;ingress&quot;, &quot;nodes&quot;,
#   ## &quot;persistentvolumes&quot;, &quot;persistentvolumeclaims&quot;, &quot;pods&quot;, &quot;services&quot;, &quot;statefulsets&quot;
#   # resource_exclude = [ &quot;deployments&quot;, &quot;nodes&quot;, &quot;statefulsets&quot; ]
#
#   ## Optional Resources to include when gathering
#   ## Overrides resource_exclude if both set.
#   # resource_include = [ &quot;deployments&quot;, &quot;nodes&quot;, &quot;statefulsets&quot; ]
#
#   ## selectors to include and exclude as tags.  Globs accepted.
#   ## Note that an empty array for both will include all selectors as tags
#   ## selector_exclude overrides selector_include if both set.
#   # selector_include = []
#   # selector_exclude = [&quot;*&quot;]
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/path/to/cafile&quot;
#   # tls_cert = &quot;/path/to/certfile&quot;
#   # tls_key = &quot;/path/to/keyfile&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Read metrics from the kubernetes kubelet api
# [[inputs.kubernetes]]
#   ## URL for the kubelet
#   url = &quot;http://127.0.0.1:10255&quot;
#
#   ## Use bearer token for authorization. ('bearer_token' takes priority)
#   ## If both of these are empty, we'll use the default serviceaccount:
#   ## at: /run/secrets/kubernetes.io/serviceaccount/token
#   # bearer_token = &quot;/path/to/bearer/token&quot;
#   ## OR
#   # bearer_token_string = &quot;abc_123&quot;
#
#   ## Pod labels to be added as tags.  An empty array for both include and
#   ## exclude will include all labels.
#   # label_include = []
#   # label_exclude = [&quot;*&quot;]
#
#   ## Set response_timeout (default 5 seconds)
#   # response_timeout = &quot;5s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = /path/to/cafile
#   # tls_cert = /path/to/certfile
#   # tls_key = /path/to/keyfile
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Read metrics from a LeoFS Server via SNMP
# [[inputs.leofs]]
#   ## An array of URLs of the form:
#   ##   host [ &quot;:&quot; port]
#   servers = [&quot;127.0.0.1:4020&quot;]

# # Provides Linux sysctl fs metrics
# [[inputs.linux_sysctl_fs]]
#   # no configuration

# # Read metrics exposed by Logstash
# [[inputs.logstash]]
#   ## The URL of the exposed Logstash API endpoint.
#   url = &quot;http://127.0.0.1:9600&quot;
#
#   ## Use Logstash 5 single pipeline API, set to true when monitoring
#   ## Logstash 5.
#   # single_pipeline = false
#
#   ## Enable optional collection components.  Can contain
#   ## &quot;pipelines&quot;, &quot;process&quot;, and &quot;jvm&quot;.
#   # collect = [&quot;pipelines&quot;, &quot;process&quot;, &quot;jvm&quot;]
#
#   ## Timeout for HTTP requests.
#   # timeout = &quot;5s&quot;
#
#   ## Optional HTTP Basic Auth credentials.
#   # username = &quot;username&quot;
#   # password = &quot;pa$$word&quot;
#
#   ## Optional TLS Config.
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#
#   ## Use TLS but skip chain &amp; host verification.
#   # insecure_skip_verify = false
#
#   ## Optional HTTP headers.
#   # [inputs.logstash.headers]
#   #   &quot;X-Special-Header&quot; = &quot;Special-Value&quot;

# # Read metrics from local Lustre service on OST, MDS
# [[inputs.lustre2]]
#   ## An array of /proc globs to search for Lustre stats
#   ## If not specified, the default will work on Lustre 2.5.x
#   ##
#   # ost_procfiles = [
#   #   &quot;/proc/fs/lustre/obdfilter/*/stats&quot;,
#   #   &quot;/proc/fs/lustre/osd-ldiskfs/*/stats&quot;,
#   #   &quot;/proc/fs/lustre/obdfilter/*/job_stats&quot;,
#   # ]
#   # mds_procfiles = [
#   #   &quot;/proc/fs/lustre/mdt/*/md_stats&quot;,
#   #   &quot;/proc/fs/lustre/mdt/*/job_stats&quot;,
#   # ]

# # Gathers metrics from the /3.0/reports MailChimp API
# [[inputs.mailchimp]]
#   ## MailChimp API key
#   ## get from https://admin.mailchimp.com/account/api/
#   api_key = &quot;&quot; # required
#   ## Reports for campaigns sent more than days_old ago will not be collected.
#   ## 0 means collect all.
#   days_old = 0
#   ## Campaign ID to get, if empty gets all campaigns, this option overrides days_old
#   # campaign_id = &quot;&quot;

# # Retrieves information on a specific host in a MarkLogic Cluster
# [[inputs.marklogic]]
#   ## Base URL of the MarkLogic HTTP Server.
#   url = &quot;http://localhost:8002&quot;
#
#   ## List of specific hostnames to retrieve information. At least (1) required.
#   # hosts = [&quot;hostname1&quot;, &quot;hostname2&quot;]
#
#   ## Using HTTP Basic Authentication. Management API requires 'manage-user' role privileges
#   # username = &quot;myuser&quot;
#   # password = &quot;mypassword&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Read metrics from one or many mcrouter servers
# [[inputs.mcrouter]]
#   ## An array of address to gather stats about. Specify an ip or hostname
#   ## with port. ie tcp://localhost:11211, tcp://10.0.0.1:11211, etc.
# 	servers = [&quot;tcp://localhost:11211&quot;, &quot;unix:///var/run/mcrouter.sock&quot;]
#
# 	## Timeout for metric collections from all servers.  Minimum timeout is &quot;1s&quot;.
#   # timeout = &quot;5s&quot;

# # Read metrics from one or many memcached servers
# [[inputs.memcached]]
#   ## An array of address to gather stats about. Specify an ip on hostname
#   ## with optional port. ie localhost, 10.0.0.1:11211, etc.
#   servers = [&quot;localhost:11211&quot;]
#   # unix_sockets = [&quot;/var/run/memcached.sock&quot;]

# # Telegraf plugin for gathering metrics from N Mesos masters
# [[inputs.mesos]]
#   ## Timeout, in ms.
#   timeout = 100
#
#   ## A list of Mesos masters.
#   masters = [&quot;http://localhost:5050&quot;]
#
#   ## Master metrics groups to be collected, by default, all enabled.
#   master_collections = [
#     &quot;resources&quot;,
#     &quot;master&quot;,
#     &quot;system&quot;,
#     &quot;agents&quot;,
#     &quot;frameworks&quot;,
#     &quot;framework_offers&quot;,
#     &quot;tasks&quot;,
#     &quot;messages&quot;,
#     &quot;evqueue&quot;,
#     &quot;registrar&quot;,
#     &quot;allocator&quot;,
#   ]
#
#   ## A list of Mesos slaves, default is []
#   # slaves = []
#
#   ## Slave metrics groups to be collected, by default, all enabled.
#   # slave_collections = [
#   #   &quot;resources&quot;,
#   #   &quot;agent&quot;,
#   #   &quot;system&quot;,
#   #   &quot;executors&quot;,
#   #   &quot;tasks&quot;,
#   #   &quot;messages&quot;,
#   # ]
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Collects scores from a Minecraft server's scoreboard using the RCON protocol
# [[inputs.minecraft]]
#   ## Address of the Minecraft server.
#   # server = &quot;localhost&quot;
#
#   ## Server RCON Port.
#   # port = &quot;25575&quot;
#
#   ## Server RCON Password.
#   password = &quot;&quot;
#
#   ## Uncomment to remove deprecated metric components.
#   # tagdrop = [&quot;server&quot;]

# # Retrieve data from MODBUS slave devices
 [[inputs.modbus]]
#   ## Connection Configuration
#   ##
#   ## The plugin supports connections to PLCs via MODBUS/TCP or
#   ## via serial line communication in binary (RTU) or readable (ASCII) encoding
#   ##
#   ## Device name
  name = &quot;Device&quot;
#
#   ## Slave ID - addresses a MODBUS device on the bus
#   ## Range: 0 - 255 [0 = broadcast; 248 - 255 = reserved]
   slave_id = 1
#
#   ## Timeout for each request
   timeout = &quot;3s&quot;
#
#   ## Maximum number of retries and the time to wait between retries
#   ## when a slave-device is busy.
#   # busy_retries = 0
#   # busy_retries_wait = &quot;100ms&quot;
#
#   # TCP - connect via Modbus/TCP
   controller = &quot;tcp://169.254.230.136:502&quot;
#
#   ## Serial (RS485; RS232)
#   # controller = &quot;file:///dev/ttyUSB0&quot;
#   # baud_rate = 9600
#   # data_bits = 8
#   # parity = &quot;N&quot;
#   # stop_bits = 1
#   # transmission_mode = &quot;RTU&quot;
#
#
#   ## Measurements
#   ##
#
#   ## Digital Variables, Discrete Inputs and Coils
#   ## measurement - the (optional) measurement name, defaults to &quot;modbus&quot;
#   ## name        - the variable name
#   ## address     - variable address
#
#   discrete_inputs = [
#     { name = &quot;start&quot;,          address = [0]},
#     { name = &quot;stop&quot;,           address = [1]},
#     { name = &quot;reset&quot;,          address = [2]},
#     { name = &quot;emergency_stop&quot;, address = [3]},
#   ]
#   coils = [
#     { name = &quot;motor1_run&quot;,     address = [0]},
#     { name = &quot;motor1_jog&quot;,     address = [1]},
#     { name = &quot;motor1_stop&quot;,    address = [2]},
#   ]
#
#   ## Analog Variables, Input Registers and Holding Registers
#   ## measurement - the (optional) measurement name, defaults to &quot;modbus&quot;
#   ## name        - the variable name
#   ## byte_order  - the ordering of bytes
#   ##  |---AB, ABCD   - Big Endian
#   ##  |---BA, DCBA   - Little Endian
#   ##  |---BADC       - Mid-Big Endian
#   ##  |---CDAB       - Mid-Little Endian
#   ## data_type  - INT16, UINT16, INT32, UINT32, INT64, UINT64, FLOAT32-IEEE (the IEEE 754 binary representation)
#   ##              FLOAT32, FIXED, UFIXED (fixed-point representation on input)
#   ## scale      - the final numeric variable representation
#   ## address    - variable address
#
#   holding_registers = [
#     { name = &quot;power_factor&quot;, byte_order = &quot;AB&quot;,   data_type = &quot;FIXED&quot;, scale=0.01,  address = [8]},
#     { name = &quot;voltage&quot;,      byte_order = &quot;AB&quot;,   data_type = &quot;FIXED&quot;, scale=0.1,   address = [0]},
#     { name = &quot;energy&quot;,       byte_order = &quot;ABCD&quot;, data_type = &quot;FIXED&quot;, scale=0.001, address = [5,6]},
#     { name = &quot;current&quot;,      byte_order = &quot;ABCD&quot;, data_type = &quot;FIXED&quot;, scale=0.001, address = [1,2]},
#     { name = &quot;frequency&quot;,    byte_order = &quot;AB&quot;,   data_type = &quot;UFIXED&quot;, scale=0.1,  address = [7]},
#     { name = &quot;power&quot;,        byte_order = &quot;ABCD&quot;, data_type = &quot;UFIXED&quot;, scale=0.1,  address = [3,4]},
#   ]
   input_registers = [
     { name = &quot;tank_level&quot;,   byte_order = &quot;AB&quot;,   data_type = &quot;INT16&quot;,   scale=1.0,     address = [1]},
     { name = &quot;tank_ph&quot;,      byte_order = &quot;AB&quot;,   data_type = &quot;INT16&quot;,   scale=1.0,     address = [2]},
   #  { name = &quot;pump1_speed&quot;,  byte_order = &quot;ABCD&quot;, data_type = &quot;INT32&quot;,   scale=1.0,     address = [3,4]},
   ]

# # Read metrics from one or many MongoDB servers
# [[inputs.mongodb]]
#   ## An array of URLs of the form:
#   ##   &quot;mongodb://&quot; [user &quot;:&quot; pass &quot;@&quot;] host [ &quot;:&quot; port]
#   ## For example:
#   ##   mongodb://user:auth_key@10.10.3.30:27017,
#   ##   mongodb://10.10.3.33:18832,
#   servers = [&quot;mongodb://127.0.0.1:27017&quot;]
#
#   ## When true, collect cluster status
#   ## Note that the query that counts jumbo chunks triggers a COLLSCAN, which
#   ## may have an impact on performance.
#   # gather_cluster_status = true
#
#   ## When true, collect per database stats
#   # gather_perdb_stats = false
#
#   ## When true, collect per collection stats
#   # gather_col_stats = false
#
#   ## List of db where collections stats are collected
#   ## If empty, all db are concerned
#   # col_stats_dbs = [&quot;local&quot;]
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Read metrics and status information about processes managed by Monit
# [[inputs.monit]]
#   ## Monit HTTPD address
#   address = &quot;http://127.0.0.1:2812&quot;
#
#   ## Username and Password for Monit
#   # username = &quot;&quot;
#   # password = &quot;&quot;
#
#   ## Amount of time allowed to complete the HTTP request
#   # timeout = &quot;5s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Aggregates the contents of multiple files into a single point
# [[inputs.multifile]]
#   ## Base directory where telegraf will look for files.
#   ## Omit this option to use absolute paths.
#   base_dir = &quot;/sys/bus/i2c/devices/1-0076/iio:device0&quot;
#
#   ## If true, Telegraf discard all data when a single file can't be read.
#   ## Else, Telegraf omits the field generated from this file.
#   # fail_early = true
#
#   ## Files to parse each interval.
#   [[inputs.multifile.file]]
#     file = &quot;in_pressure_input&quot;
#     dest = &quot;pressure&quot;
#     conversion = &quot;float&quot;
#   [[inputs.multifile.file]]
#     file = &quot;in_temp_input&quot;
#     dest = &quot;temperature&quot;
#     conversion = &quot;float(3)&quot;
#   [[inputs.multifile.file]]
#     file = &quot;in_humidityrelative_input&quot;
#     dest = &quot;humidityrelative&quot;
#     conversion = &quot;float(3)&quot;

# # Read metrics from one or many mysql servers
# [[inputs.mysql]]
#   ## specify servers via a url matching:
#   ##  [username[:password]@][protocol[(address)]]/[?tls=[true|false|skip-verify|custom]]
#   ##  see https://github.com/go-sql-driver/mysql#dsn-data-source-name
#   ##  e.g.
#   ##    servers = [&quot;user:passwd@tcp(127.0.0.1:3306)/?tls=false&quot;]
#   ##    servers = [&quot;user@tcp(127.0.0.1:3306)/?tls=false&quot;]
#   #
#   ## If no servers are specified, then localhost is used as the host.
#   servers = [&quot;tcp(127.0.0.1:3306)/&quot;]
#
#   ## Selects the metric output format.
#   ##
#   ## This option exists to maintain backwards compatibility, if you have
#   ## existing metrics do not set or change this value until you are ready to
#   ## migrate to the new format.
#   ##
#   ## If you do not have existing metrics from this plugin set to the latest
#   ## version.
#   ##
#   ## Telegraf &gt;=1.6: metric_version = 2
#   ##           &lt;1.6: metric_version = 1 (or unset)
#   metric_version = 2
#
#   ## if the list is empty, then metrics are gathered from all database tables
#   # table_schema_databases = []
#
#   ## gather metrics from INFORMATION_SCHEMA.TABLES for databases provided above list
#   # gather_table_schema = false
#
#   ## gather thread state counts from INFORMATION_SCHEMA.PROCESSLIST
#   # gather_process_list = false
#
#   ## gather user statistics from INFORMATION_SCHEMA.USER_STATISTICS
#   # gather_user_statistics = false
#
#   ## gather auto_increment columns and max values from information schema
#   # gather_info_schema_auto_inc = false
#
#   ## gather metrics from INFORMATION_SCHEMA.INNODB_METRICS
#   # gather_innodb_metrics = false
#
#   ## gather metrics from SHOW SLAVE STATUS command output
#   # gather_slave_status = false
#
#   ## gather metrics from SHOW BINARY LOGS command output
#   # gather_binary_logs = false
#
#   ## gather metrics from PERFORMANCE_SCHEMA.GLOBAL_VARIABLES
#   # gather_global_variables = true
#
#   ## gather metrics from PERFORMANCE_SCHEMA.TABLE_IO_WAITS_SUMMARY_BY_TABLE
#   # gather_table_io_waits = false
#
#   ## gather metrics from PERFORMANCE_SCHEMA.TABLE_LOCK_WAITS
#   # gather_table_lock_waits = false
#
#   ## gather metrics from PERFORMANCE_SCHEMA.TABLE_IO_WAITS_SUMMARY_BY_INDEX_USAGE
#   # gather_index_io_waits = false
#
#   ## gather metrics from PERFORMANCE_SCHEMA.EVENT_WAITS
#   # gather_event_waits = false
#
#   ## gather metrics from PERFORMANCE_SCHEMA.FILE_SUMMARY_BY_EVENT_NAME
#   # gather_file_events_stats = false
#
#   ## gather metrics from PERFORMANCE_SCHEMA.EVENTS_STATEMENTS_SUMMARY_BY_DIGEST
#   # gather_perf_events_statements = false
#
#   ## the limits for metrics form perf_events_statements
#   # perf_events_statements_digest_text_limit = 120
#   # perf_events_statements_limit = 250
#   # perf_events_statements_time_limit = 86400
#
#   ## Some queries we may want to run less often (such as SHOW GLOBAL VARIABLES)
#   ##   example: interval_slow = &quot;30m&quot;
#   # interval_slow = &quot;&quot;
#
#   ## Optional TLS Config (will be used if tls=custom parameter specified in server uri)
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Provides metrics about the state of a NATS server
# [[inputs.nats]]
#   ## The address of the monitoring endpoint of the NATS server
#   server = &quot;http://localhost:8222&quot;
#
#   ## Maximum time to receive response
#   # response_timeout = &quot;5s&quot;

# # Neptune Apex data collector
# [[inputs.neptune_apex]]
#   ## The Neptune Apex plugin reads the publicly available status.xml data from a local Apex.
#   ## Measurements will be logged under &quot;apex&quot;.
#
#   ## The base URL of the local Apex(es). If you specify more than one server, they will
#   ## be differentiated by the &quot;source&quot; tag.
#   servers = [
#     &quot;http://apex.local&quot;,
#   ]
#
#   ## The response_timeout specifies how long to wait for a reply from the Apex.
#   #response_timeout = &quot;5s&quot;

# # Read metrics about network interface usage
# [[inputs.net]]
#   ## By default, telegraf gathers stats from any up interface (excluding loopback)
#   ## Setting interfaces will tell it to gather these explicit interfaces,
#   ## regardless of status.
#   ##
#   # interfaces = [&quot;eth0&quot;]
#   ##
#   ## On linux systems telegraf also collects protocol stats.
#   ## Setting ignore_protocol_stats to true will skip reporting of protocol metrics.
#   ##
#   # ignore_protocol_stats = false
#   ##

# # Collect response time of a TCP or UDP connection
# [[inputs.net_response]]
#   ## Protocol, must be &quot;tcp&quot; or &quot;udp&quot;
#   ## NOTE: because the &quot;udp&quot; protocol does not respond to requests, it requires
#   ## a send/expect string pair (see below).
#   protocol = &quot;tcp&quot;
#   ## Server address (default localhost)
#   address = &quot;localhost:80&quot;
#
#   ## Set timeout
#   # timeout = &quot;1s&quot;
#
#   ## Set read timeout (only used if expecting a response)
#   # read_timeout = &quot;1s&quot;
#
#   ## The following options are required for UDP checks. For TCP, they are
#   ## optional. The plugin will send the given string to the server and then
#   ## expect to receive the given 'expect' string back.
#   ## string sent to the server
#   # send = &quot;ssh&quot;
#   ## expected string in answer
#   # expect = &quot;ssh&quot;
#
#   ## Uncomment to remove deprecated fields
#   # fielddrop = [&quot;result_type&quot;, &quot;string_found&quot;]

# # Read TCP metrics such as established, time wait and sockets counts.
# [[inputs.netstat]]
#   # no configuration

# # Read Nginx's basic status information (ngx_http_stub_status_module)
# [[inputs.nginx]]
#   # An array of Nginx stub_status URI to gather stats.
#   urls = [&quot;http://localhost/server_status&quot;]
#
#   ## Optional TLS Config
#   tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   tls_cert = &quot;/etc/telegraf/cert.cer&quot;
#   tls_key = &quot;/etc/telegraf/key.key&quot;
#   ## Use TLS but skip chain &amp; host verification
#   insecure_skip_verify = false
#
#   # HTTP response timeout (default: 5s)
#   response_timeout = &quot;5s&quot;

# # Read Nginx Plus' full status information (ngx_http_status_module)
# [[inputs.nginx_plus]]
#   ## An array of ngx_http_status_module or status URI to gather stats.
#   urls = [&quot;http://localhost/status&quot;]
#
#   # HTTP response timeout (default: 5s)
#   response_timeout = &quot;5s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Read Nginx Plus Api documentation
# [[inputs.nginx_plus_api]]
#   ## An array of API URI to gather stats.
#   urls = [&quot;http://localhost/api&quot;]
#
#   # Nginx API version, default: 3
#   # api_version = 3
#
#   # HTTP response timeout (default: 5s)
#   response_timeout = &quot;5s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Read Nginx virtual host traffic status module information (nginx-module-sts)
# [[inputs.nginx_sts]]
#   ## An array of ngx_http_status_module or status URI to gather stats.
#   urls = [&quot;http://localhost/status&quot;]
#
#   ## HTTP response timeout (default: 5s)
#   response_timeout = &quot;5s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Read nginx_upstream_check module status information (https://github.com/yaoweibin/nginx_upstream_check_module)
# [[inputs.nginx_upstream_check]]
#   ## An URL where Nginx Upstream check module is enabled
#   ## It should be set to return a JSON formatted response
#   url = &quot;http://127.0.0.1/status?format=json&quot;
#
#   ## HTTP method
#   # method = &quot;GET&quot;
#
#   ## Optional HTTP headers
#   # headers = {&quot;X-Special-Header&quot; = &quot;Special-Value&quot;}
#
#   ## Override HTTP &quot;Host&quot; header
#   # host_header = &quot;check.example.com&quot;
#
#   ## Timeout for HTTP requests
#   timeout = &quot;5s&quot;
#
#   ## Optional HTTP Basic Auth credentials
#   # username = &quot;username&quot;
#   # password = &quot;pa$$word&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Read Nginx virtual host traffic status module information (nginx-module-vts)
# [[inputs.nginx_vts]]
#   ## An array of ngx_http_status_module or status URI to gather stats.
#   urls = [&quot;http://localhost/status&quot;]
#
#   ## HTTP response timeout (default: 5s)
#   response_timeout = &quot;5s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # A plugin to collect stats from the NSD authoritative DNS name server
# [[inputs.nsd]]
#   ## Address of server to connect to, optionally ':port'. Defaults to the
#   ## address in the nsd config file.
#   server = &quot;127.0.0.1:8953&quot;
#
#   ## If running as a restricted user you can prepend sudo for additional access:
#   # use_sudo = false
#
#   ## The default location of the nsd-control binary can be overridden with:
#   # binary = &quot;/usr/sbin/nsd-control&quot;
#
#   ## The default location of the nsd config file can be overridden with:
#   # config_file = &quot;/etc/nsd/nsd.conf&quot;
#
#   ## The default timeout of 1s can be overridden with:
#   # timeout = &quot;1s&quot;

# # Read NSQ topic and channel statistics.
# [[inputs.nsq]]
#   ## An array of NSQD HTTP API endpoints
#   endpoints  = [&quot;http://localhost:4151&quot;]
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Collect kernel snmp counters and network interface statistics
# [[inputs.nstat]]
#   ## file paths for proc files. If empty default paths will be used:
#   ##    /proc/net/netstat, /proc/net/snmp, /proc/net/snmp6
#   ## These can also be overridden with env variables, see README.
#   proc_net_netstat = &quot;/proc/net/netstat&quot;
#   proc_net_snmp = &quot;/proc/net/snmp&quot;
#   proc_net_snmp6 = &quot;/proc/net/snmp6&quot;
#   ## dump metrics with 0 values too
#   dump_zeros       = true

# # Get standard NTP query metrics, requires ntpq executable.
# [[inputs.ntpq]]
#   ## If false, set the -n ntpq flag. Can reduce metric gather time.
#   dns_lookup = true

# # Pulls statistics from nvidia GPUs attached to the host
# [[inputs.nvidia_smi]]
#   ## Optional: path to nvidia-smi binary, defaults to $PATH via exec.LookPath
#   # bin_path = &quot;/usr/bin/nvidia-smi&quot;
#
#   ## Optional: timeout for GPU polling
#   # timeout = &quot;5s&quot;

# # Retrieve data from OPCUA devices
# [[inputs.opcua]]
# [[inputs.opcua]]
#   ## Device name
#   # name = &quot;localhost&quot;
#   #
#   ## OPC UA Endpoint URL
#   # endpoint = &quot;opc.tcp://localhost:4840&quot;
#   #
#   ## Maximum time allowed to establish a connect to the endpoint.
#   # connect_timeout = &quot;10s&quot;
#   #
#   ## Maximum time allowed for a request over the estabilished connection.
#   # request_timeout = &quot;5s&quot;
#   #
#   ## Security policy, one of &quot;None&quot;, &quot;Basic128Rsa15&quot;, &quot;Basic256&quot;,
#   ## &quot;Basic256Sha256&quot;, or &quot;auto&quot;
#   # security_policy = &quot;auto&quot;
#   #
#   ## Security mode, one of &quot;None&quot;, &quot;Sign&quot;, &quot;SignAndEncrypt&quot;, or &quot;auto&quot;
#   # security_mode = &quot;auto&quot;
#   #
#   ## Path to cert.pem. Required when security mode or policy isn't &quot;None&quot;.
#   ## If cert path is not supplied, self-signed cert and key will be generated.
#   # certificate = &quot;/etc/telegraf/cert.pem&quot;
#   #
#   ## Path to private key.pem. Required when security mode or policy isn't &quot;None&quot;.
#   ## If key path is not supplied, self-signed cert and key will be generated.
#   # private_key = &quot;/etc/telegraf/key.pem&quot;
#   #
#   ## Authentication Method, one of &quot;Certificate&quot;, &quot;UserName&quot;, or &quot;Anonymous&quot;.  To
#   ## authenticate using a specific ID, select 'Certificate' or 'UserName'
#   # auth_method = &quot;Anonymous&quot;
#   #
#   ## Username. Required for auth_method = &quot;UserName&quot;
#   # username = &quot;&quot;
#   #
#   ## Password. Required for auth_method = &quot;UserName&quot;
#   # password = &quot;&quot;
#   #
#   ## Node ID configuration
#   ## name       			- the variable name
#   ## namespace  			- integer value 0 thru 3
#   ## identifier_type		- s=string, i=numeric, g=guid, b=opaque
#   ## identifier			- tag as shown in opcua browser
#   ## data_type  			- boolean, byte, short, int, uint, uint16, int16,
#   ##                        uint32, int32, float, double, string, datetime, number
#   ## Example:
#   ## {name=&quot;ProductUri&quot;, namespace=&quot;0&quot;, identifier_type=&quot;i&quot;, identifier=&quot;2262&quot;, data_type=&quot;string&quot;, description=&quot;http://open62541.org&quot;}
#   nodes = [
#     {name=&quot;&quot;, namespace=&quot;&quot;, identifier_type=&quot;&quot;, identifier=&quot;&quot;, data_type=&quot;&quot;, description=&quot;&quot;},
#     {name=&quot;&quot;, namespace=&quot;&quot;, identifier_type=&quot;&quot;, identifier=&quot;&quot;, data_type=&quot;&quot;, description=&quot;&quot;},
#   ]

# # OpenLDAP cn=Monitor plugin
# [[inputs.openldap]]
#   host = &quot;localhost&quot;
#   port = 389
#
#   # ldaps, starttls, or no encryption. default is an empty string, disabling all encryption.
#   # note that port will likely need to be changed to 636 for ldaps
#   # valid options: &quot;&quot; | &quot;starttls&quot; | &quot;ldaps&quot;
#   tls = &quot;&quot;
#
#   # skip peer certificate verification. Default is false.
#   insecure_skip_verify = false
#
#   # Path to PEM-encoded Root certificate to use to verify server certificate
#   tls_ca = &quot;/etc/ssl/certs.pem&quot;
#
#   # dn/password to bind with. If bind_dn is empty, an anonymous bind is performed.
#   bind_dn = &quot;&quot;
#   bind_password = &quot;&quot;
#
#   # Reverse metric names so they sort more naturally. Recommended.
#   # This defaults to false if unset, but is set to true when generating a new config
#   reverse_metric_names = true

# # Get standard NTP query metrics from OpenNTPD.
# [[inputs.openntpd]]
#   ## Run ntpctl binary with sudo.
#   # use_sudo = false
#
#   ## Location of the ntpctl binary.
#   # binary = &quot;/usr/sbin/ntpctl&quot;
#
#   ## Maximum time the ntpctl binary is allowed to run.
#   # timeout = &quot;5ms&quot;

# # A plugin to collect stats from Opensmtpd - a validating, recursive, and caching DNS resolver 
# [[inputs.opensmtpd]]
#   ## If running as a restricted user you can prepend sudo for additional access:
#   #use_sudo = false
#
#   ## The default location of the smtpctl binary can be overridden with:
#   binary = &quot;/usr/sbin/smtpctl&quot;
#
#   ## The default timeout of 1000ms can be overridden with (in milliseconds):
#   timeout = 1000

# # Read current weather and forecasts data from openweathermap.org
# [[inputs.openweathermap]]
#   ## OpenWeatherMap API key.
#   app_id = &quot;xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx&quot;
#
#   ## City ID's to collect weather data from.
#   city_id = [&quot;5391959&quot;]
#
#   ## Language of the description field. Can be one of &quot;ar&quot;, &quot;bg&quot;,
#   ## &quot;ca&quot;, &quot;cz&quot;, &quot;de&quot;, &quot;el&quot;, &quot;en&quot;, &quot;fa&quot;, &quot;fi&quot;, &quot;fr&quot;, &quot;gl&quot;, &quot;hr&quot;, &quot;hu&quot;,
#   ## &quot;it&quot;, &quot;ja&quot;, &quot;kr&quot;, &quot;la&quot;, &quot;lt&quot;, &quot;mk&quot;, &quot;nl&quot;, &quot;pl&quot;, &quot;pt&quot;, &quot;ro&quot;, &quot;ru&quot;,
#   ## &quot;se&quot;, &quot;sk&quot;, &quot;sl&quot;, &quot;es&quot;, &quot;tr&quot;, &quot;ua&quot;, &quot;vi&quot;, &quot;zh_cn&quot;, &quot;zh_tw&quot;
#   # lang = &quot;en&quot;
#
#   ## APIs to fetch; can contain &quot;weather&quot; or &quot;forecast&quot;.
#   fetch = [&quot;weather&quot;, &quot;forecast&quot;]
#
#   ## OpenWeatherMap base URL
#   # base_url = &quot;https://api.openweathermap.org/&quot;
#
#   ## Timeout for HTTP response.
#   # response_timeout = &quot;5s&quot;
#
#   ## Preferred unit system for temperature and wind speed. Can be one of
#   ## &quot;metric&quot;, &quot;imperial&quot;, or &quot;standard&quot;.
#   # units = &quot;metric&quot;
#
#   ## Query interval; OpenWeatherMap updates their weather data every 10
#   ## minutes.
#   interval = &quot;10m&quot;

# # Read metrics of passenger using passenger-status
# [[inputs.passenger]]
#   ## Path of passenger-status.
#   ##
#   ## Plugin gather metric via parsing XML output of passenger-status
#   ## More information about the tool:
#   ##   https://www.phusionpassenger.com/library/admin/apache/overall_status_report.html
#   ##
#   ## If no path is specified, then the plugin simply execute passenger-status
#   ## hopefully it can be found in your PATH
#   command = &quot;passenger-status -v --show=xml&quot;

# # Gather counters from PF
# [[inputs.pf]]
#   ## PF require root access on most systems.
#   ## Setting 'use_sudo' to true will make use of sudo to run pfctl.
#   ## Users must configure sudo to allow telegraf user to run pfctl with no password.
#   ## pfctl can be restricted to only list command &quot;pfctl -s info&quot;.
#   use_sudo = false

# # Read metrics of phpfpm, via HTTP status page or socket
# [[inputs.phpfpm]]
#   ## An array of addresses to gather stats about. Specify an ip or hostname
#   ## with optional port and path
#   ##
#   ## Plugin can be configured in three modes (either can be used):
#   ##   - http: the URL must start with http:// or https://, ie:
#   ##       &quot;http://localhost/status&quot;
#   ##       &quot;http://192.168.130.1/status?full&quot;
#   ##
#   ##   - unixsocket: path to fpm socket, ie:
#   ##       &quot;/var/run/php5-fpm.sock&quot;
#   ##      or using a custom fpm status path:
#   ##       &quot;/var/run/php5-fpm.sock:fpm-custom-status-path&quot;
#   ##
#   ##   - fcgi: the URL must start with fcgi:// or cgi://, and port must be present, ie:
#   ##       &quot;fcgi://10.0.0.12:9000/status&quot;
#   ##       &quot;cgi://10.0.10.12:9001/status&quot;
#   ##
#   ## Example of multiple gathering from local socket and remote host
#   ## urls = [&quot;http://192.168.1.20/status&quot;, &quot;/tmp/fpm.sock&quot;]
#   urls = [&quot;http://localhost/status&quot;]
#
#   ## Duration allowed to complete HTTP requests.
#   # timeout = &quot;5s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Ping given url(s) and return statistics
# [[inputs.ping]]
#   ## Hosts to send ping packets to.
#   urls = [&quot;example.org&quot;]
#
#   ## Method used for sending pings, can be either &quot;exec&quot; or &quot;native&quot;.  When set
#   ## to &quot;exec&quot; the systems ping command will be executed.  When set to &quot;native&quot;
#   ## the plugin will send pings directly.
#   ##
#   ## While the default is &quot;exec&quot; for backwards compatibility, new deployments
#   ## are encouraged to use the &quot;native&quot; method for improved compatibility and
#   ## performance.
#   # method = &quot;exec&quot;
#
#   ## Number of ping packets to send per interval.  Corresponds to the &quot;-c&quot;
#   ## option of the ping command.
#   # count = 1
#
#   ## Time to wait between sending ping packets in seconds.  Operates like the
#   ## &quot;-i&quot; option of the ping command.
#   # ping_interval = 1.0
#
#   ## If set, the time to wait for a ping response in seconds.  Operates like
#   ## the &quot;-W&quot; option of the ping command.
#   # timeout = 1.0
#
#   ## If set, the total ping deadline, in seconds.  Operates like the -w option
#   ## of the ping command.
#   # deadline = 10
#
#   ## Interface or source address to send ping from.  Operates like the -I or -S
#   ## option of the ping command.
#   # interface = &quot;&quot;
#
#   ## Specify the ping executable binary.
#   # binary = &quot;ping&quot;
#
#   ## Arguments for ping command. When arguments is not empty, the command from
#   ## the binary option will be used and other options (ping_interval, timeout,
#   ## etc) will be ignored.
#   # arguments = [&quot;-c&quot;, &quot;3&quot;]
#
#   ## Use only IPv6 addresses when resolving a hostname.
#   # ipv6 = false

# # Measure postfix queue statistics
# [[inputs.postfix]]
#   ## Postfix queue directory. If not provided, telegraf will try to use
#   ## 'postconf -h queue_directory' to determine it.
#   # queue_directory = &quot;/var/spool/postfix&quot;

# # Read metrics from one or many PowerDNS servers
# [[inputs.powerdns]]
#   ## An array of sockets to gather stats about.
#   ## Specify a path to unix socket.
#   unix_sockets = [&quot;/var/run/pdns.controlsocket&quot;]

# # Read metrics from one or many PowerDNS Recursor servers
# [[inputs.powerdns_recursor]]
#   ## Path to the Recursor control socket.
#   unix_sockets = [&quot;/var/run/pdns_recursor.controlsocket&quot;]
#
#   ## Directory to create receive socket.  This default is likely not writable,
#   ## please reference the full plugin documentation for a recommended setup.
#   # socket_dir = &quot;/var/run/&quot;
#   ## Socket permissions for the receive socket.
#   # socket_mode = &quot;0666&quot;

# # Monitor process cpu and memory usage
# [[inputs.procstat]]
#   ## PID file to monitor process
#   pid_file = &quot;/var/run/nginx.pid&quot;
#   ## executable name (ie, pgrep &lt;exe&gt;)
#   # exe = &quot;nginx&quot;
#   ## pattern as argument for pgrep (ie, pgrep -f &lt;pattern&gt;)
#   # pattern = &quot;nginx&quot;
#   ## user as argument for pgrep (ie, pgrep -u &lt;user&gt;)
#   # user = &quot;nginx&quot;
#   ## Systemd unit name
#   # systemd_unit = &quot;nginx.service&quot;
#   ## CGroup name or path
#   # cgroup = &quot;systemd/system.slice/nginx.service&quot;
#
#   ## Windows service name
#   # win_service = &quot;&quot;
#
#   ## override for process_name
#   ## This is optional; default is sourced from /proc/&lt;pid&gt;/status
#   # process_name = &quot;bar&quot;
#
#   ## Field name prefix
#   # prefix = &quot;&quot;
#
#   ## When true add the full cmdline as a tag.
#   # cmdline_tag = false
#
#   ## Add the PID as a tag instead of as a field.  When collecting multiple
#   ## processes with otherwise matching tags this setting should be enabled to
#   ## ensure each process has a unique identity.
#   ##
#   ## Enabling this option may result in a large number of series, especially
#   ## when processes have a short lifetime.
#   # pid_tag = false
#
#   ## Method to use when finding process IDs.  Can be one of 'pgrep', or
#   ## 'native'.  The pgrep finder calls the pgrep executable in the PATH while
#   ## the native finder performs the search directly in a manor dependent on the
#   ## platform.  Default is 'pgrep'
#   # pid_finder = &quot;pgrep&quot;

# # Provides metrics from Proxmox nodes (Proxmox Virtual Environment &gt; 6.2).
# [[inputs.proxmox]]
#   ## API connection configuration. The API token was introduced in Proxmox v6.2. Required permissions for user and token: PVEAuditor role on /.
#   base_url = &quot;https://localhost:8006/api2/json&quot;
#   api_token = &quot;USER@REALM!TOKENID=UUID&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   insecure_skip_verify = false
#
#   # HTTP response timeout (default: 5s)
#   response_timeout = &quot;5s&quot;

# # Reads last_run_summary.yaml file and converts to measurements
# [[inputs.puppetagent]]
#   ## Location of puppet last run summary file
#   location = &quot;/var/lib/puppet/state/last_run_summary.yaml&quot;

# # Reads metrics from RabbitMQ servers via the Management Plugin
# [[inputs.rabbitmq]]
#   ## Management Plugin url. (default: http://localhost:15672)
#   # url = &quot;http://localhost:15672&quot;
#   ## Tag added to rabbitmq_overview series; deprecated: use tags
#   # name = &quot;rmq-server-1&quot;
#   ## Credentials
#   # username = &quot;guest&quot;
#   # password = &quot;guest&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## Optional request timeouts
#   ##
#   ## ResponseHeaderTimeout, if non-zero, specifies the amount of time to wait
#   ## for a server's response headers after fully writing the request.
#   # header_timeout = &quot;3s&quot;
#   ##
#   ## client_timeout specifies a time limit for requests made by this client.
#   ## Includes connection time, any redirects, and reading the response body.
#   # client_timeout = &quot;4s&quot;
#
#   ## A list of nodes to gather as the rabbitmq_node measurement. If not
#   ## specified, metrics for all nodes are gathered.
#   # nodes = [&quot;rabbit@node1&quot;, &quot;rabbit@node2&quot;]
#
#   ## A list of queues to gather as the rabbitmq_queue measurement. If not
#   ## specified, metrics for all queues are gathered.
#   # queues = [&quot;telegraf&quot;]
#
#   ## A list of exchanges to gather as the rabbitmq_exchange measurement. If not
#   ## specified, metrics for all exchanges are gathered.
#   # exchanges = [&quot;telegraf&quot;]
#
#   ## Queues to include and exclude. Globs accepted.
#   ## Note that an empty array for both will include all queues
#   queue_name_include = []
#   queue_name_exclude = []
#
#   ## Federation upstreams include and exclude when gathering the rabbitmq_federation measurement.
#   ## If neither are specified, metrics for all federation upstreams are gathered.
#   ## Federation link metrics will only be gathered for queues and exchanges
#   ## whose non-federation metrics will be collected (e.g a queue excluded
#   ## by the 'queue_name_exclude' option will also be excluded from federation).
#   ## Globs accepted.
#   # federation_upstream_include = [&quot;dataCentre-*&quot;]
#   # federation_upstream_exclude = []

# # Read raindrops stats (raindrops - real-time stats for preforking Rack servers)
# [[inputs.raindrops]]
#   ## An array of raindrops middleware URI to gather stats.
#   urls = [&quot;http://localhost:8080/_raindrops&quot;]

# # RAS plugin exposes counter metrics for Machine Check Errors provided by RASDaemon (sqlite3 output is required).
# [[inputs.ras]]
#   ## Optional path to RASDaemon sqlite3 database.
#   ## Default: /var/lib/rasdaemon/ras-mc_event.db
#   # db_path = &quot;&quot;

# # Read CPU, Fans, Powersupply and Voltage metrics of hardware server through redfish APIs
# [[inputs.redfish]]
#   ## Server url
#   address = &quot;https://127.0.0.1:5000&quot;
#
#   ## Username, Password for hardware server
#   username = &quot;root&quot;
#   password = &quot;password123456&quot;
#
#   ## ComputerSystemId
#   computer_system_id=&quot;2M220100SL&quot;
#
#   ## Amount of time allowed to complete the HTTP request
#   # timeout = &quot;5s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Read metrics from one or many redis servers
# [[inputs.redis]]
#   ## specify servers via a url matching:
#   ##  [protocol://][:password]@address[:port]
#   ##  e.g.
#   ##    tcp://localhost:6379
#   ##    tcp://:password@192.168.99.100
#   ##    unix:///var/run/redis.sock
#   ##
#   ## If no servers are specified, then localhost is used as the host.
#   ## If no port is specified, 6379 is used
#   servers = [&quot;tcp://localhost:6379&quot;]
#
#   ## Optional. Specify redis commands to retrieve values
#   # [[inputs.redis.commands]]
#   # command = [&quot;get&quot;, &quot;sample-key&quot;]
#   # field = &quot;sample-key-value&quot;
#   # type = &quot;string&quot;
#
#   ## specify server password
#   # password = &quot;s#cr@t%&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = true

# # Read metrics from one or many RethinkDB servers
# [[inputs.rethinkdb]]
#   ## An array of URI to gather stats about. Specify an ip or hostname
#   ## with optional port add password. ie,
#   ##   rethinkdb://user:auth_key@10.10.3.30:28105,
#   ##   rethinkdb://10.10.3.33:18832,
#   ##   10.0.0.1:10000, etc.
#   servers = [&quot;127.0.0.1:28015&quot;]
#   ##
#   ## If you use actual rethinkdb of &gt; 2.3.0 with username/password authorization,
#   ## protocol have to be named &quot;rethinkdb2&quot; - it will use 1_0 H.
#   # servers = [&quot;rethinkdb2://username:password@127.0.0.1:28015&quot;]
#   ##
#   ## If you use older versions of rethinkdb (&lt;2.2) with auth_key, protocol
#   ## have to be named &quot;rethinkdb&quot;.
#   # servers = [&quot;rethinkdb://username:auth_key@127.0.0.1:28015&quot;]

# # Read metrics one or many Riak servers
# [[inputs.riak]]
#   # Specify a list of one or more riak http servers
#   servers = [&quot;http://localhost:8098&quot;]

# # Read API usage and limits for a Salesforce organisation
# [[inputs.salesforce]]
#   ## specify your credentials
#   ##
#   username = &quot;your_username&quot;
#   password = &quot;your_password&quot;
#   ##
#   ## (optional) security token
#   # security_token = &quot;your_security_token&quot;
#   ##
#   ## (optional) environment type (sandbox or production)
#   ## default is: production
#   ##
#   # environment = &quot;production&quot;
#   ##
#   ## (optional) API version (default: &quot;39.0&quot;)
#   ##
#   # version = &quot;39.0&quot;

# # Monitor sensors, requires lm-sensors package
# [[inputs.sensors]]
#   ## Remove numbers from field names.
#   ## If true, a field name like 'temp1_input' will be changed to 'temp_input'.
#   # remove_numbers = true
#
#   ## Timeout is the maximum amount of time that the sensors command can run.
#   # timeout = &quot;5s&quot;

# # Read metrics from storage devices supporting S.M.A.R.T.
# [[inputs.smart]]
#   ## Optionally specify the path to the smartctl executable
#   # path_smartctl = &quot;/usr/bin/smartctl&quot;
#
#   ## Optionally specify the path to the nvme-cli executable
#   # path_nvme = &quot;/usr/bin/nvme&quot;
#
#   ## Optionally specify if vendor specific attributes should be propagated for NVMe disk case
#   ## [&quot;auto-on&quot;] - automatically find and enable additional vendor specific disk info
#   ## [&quot;vendor1&quot;, &quot;vendor2&quot;, ...] - e.g. &quot;Intel&quot; enable additional Intel specific disk info
#   # enable_extensions = [&quot;auto-on&quot;]
#
#   ## On most platforms used cli utilities requires root access.
#   ## Setting 'use_sudo' to true will make use of sudo to run smartctl or nvme-cli.
#   ## Sudo must be configured to allow the telegraf user to run smartctl or nvme-cli
#   ## without a password.
#   # use_sudo = false
#
#   ## Skip checking disks in this power mode. Defaults to
#   ## &quot;standby&quot; to not wake up disks that have stopped rotating.
#   ## See --nocheck in the man pages for smartctl.
#   ## smartctl version 5.41 and 5.42 have faulty detection of
#   ## power mode and might require changing this value to
#   ## &quot;never&quot; depending on your disks.
#   # nocheck = &quot;standby&quot;
#
#   ## Gather all returned S.M.A.R.T. attribute metrics and the detailed
#   ## information from each drive into the 'smart_attribute' measurement.
#   # attributes = false
#
#   ## Optionally specify devices to exclude from reporting if disks auto-discovery is performed.
#   # excludes = [ &quot;/dev/pass6&quot; ]
#
#   ## Optionally specify devices and device type, if unset
#   ## a scan (smartctl --scan and smartctl --scan -d nvme) for S.M.A.R.T. devices will be done
#   ## and all found will be included except for the excluded in excludes.
#   # devices = [ &quot;/dev/ada0 -d atacam&quot;, &quot;/dev/nvme0&quot;]
#
#   ## Timeout for the cli command to complete.
#   # timeout = &quot;30s&quot;

# # Retrieves SNMP values from remote agents
# [[inputs.snmp]]
#   ## Agent addresses to retrieve values from.
#   ##   example: agents = [&quot;udp://127.0.0.1:161&quot;]
#   ##            agents = [&quot;tcp://127.0.0.1:161&quot;]
#   agents = [&quot;udp://127.0.0.1:161&quot;]
#
#   ## Timeout for each request.
#   # timeout = &quot;5s&quot;
#
#   ## SNMP version; can be 1, 2, or 3.
#   # version = 2
#
#   ## Agent host tag; the tag used to reference the source host
#   # agent_host_tag = &quot;agent_host&quot;
#
#   ## SNMP community string.
#   # community = &quot;public&quot;
#
#   ## Number of retries to attempt.
#   # retries = 3
#
#   ## The GETBULK max-repetitions parameter.
#   # max_repetitions = 10
#
#   ## SNMPv3 authentication and encryption options.
#   ##
#   ## Security Name.
#   # sec_name = &quot;myuser&quot;
#   ## Authentication protocol; one of &quot;MD5&quot;, &quot;SHA&quot;, or &quot;&quot;.
#   # auth_protocol = &quot;MD5&quot;
#   ## Authentication password.
#   # auth_password = &quot;pass&quot;
#   ## Security Level; one of &quot;noAuthNoPriv&quot;, &quot;authNoPriv&quot;, or &quot;authPriv&quot;.
#   # sec_level = &quot;authNoPriv&quot;
#   ## Context Name.
#   # context_name = &quot;&quot;
#   ## Privacy protocol used for encrypted messages; one of &quot;DES&quot;, &quot;AES&quot; or &quot;&quot;.
#   # priv_protocol = &quot;&quot;
#   ## Privacy password used for encrypted messages.
#   # priv_password = &quot;&quot;
#
#   ## Add fields and tables defining the variables you wish to collect.  This
#   ## example collects the system uptime and interface variables.  Reference the
#   ## full plugin documentation for configuration details.

# # DEPRECATED! PLEASE USE inputs.snmp INSTEAD.
# [[inputs.snmp_legacy]]
#   ## Use 'oids.txt' file to translate oids to names
#   ## To generate 'oids.txt' you need to run:
#   ##   snmptranslate -m all -Tz -On | sed -e 's/&quot;//g' &gt; /tmp/oids.txt
#   ## Or if you have an other MIB folder with custom MIBs
#   ##   snmptranslate -M /mycustommibfolder -Tz -On -m all | sed -e 's/&quot;//g' &gt; oids.txt
#   snmptranslate_file = &quot;/tmp/oids.txt&quot;
#   [[inputs.snmp.host]]
#     address = &quot;192.168.2.2:161&quot;
#     # SNMP community
#     community = &quot;public&quot; # default public
#     # SNMP version (1, 2 or 3)
#     # Version 3 not supported yet
#     version = 2 # default 2
#     # SNMP response timeout
#     timeout = 2.0 # default 2.0
#     # SNMP request retries
#     retries = 2 # default 2
#     # Which get/bulk do you want to collect for this host
#     collect = [&quot;mybulk&quot;, &quot;sysservices&quot;, &quot;sysdescr&quot;]
#     # Simple list of OIDs to get, in addition to &quot;collect&quot;
#     get_oids = []
#
#   [[inputs.snmp.host]]
#     address = &quot;192.168.2.3:161&quot;
#     community = &quot;public&quot;
#     version = 2
#     timeout = 2.0
#     retries = 2
#     collect = [&quot;mybulk&quot;]
#     get_oids = [
#         &quot;ifNumber&quot;,
#         &quot;.1.3.6.1.2.1.1.3.0&quot;,
#     ]
#
#   [[inputs.snmp.get]]
#     name = &quot;ifnumber&quot;
#     oid = &quot;ifNumber&quot;
#
#   [[inputs.snmp.get]]
#     name = &quot;interface_speed&quot;
#     oid = &quot;ifSpeed&quot;
#     instance = &quot;0&quot;
#
#   [[inputs.snmp.get]]
#     name = &quot;sysuptime&quot;
#     oid = &quot;.1.3.6.1.2.1.1.3.0&quot;
#     unit = &quot;second&quot;
#
#   [[inputs.snmp.bulk]]
#     name = &quot;mybulk&quot;
#     max_repetition = 127
#     oid = &quot;.1.3.6.1.2.1.1&quot;
#
#   [[inputs.snmp.bulk]]
#     name = &quot;ifoutoctets&quot;
#     max_repetition = 127
#     oid = &quot;ifOutOctets&quot;
#
#   [[inputs.snmp.host]]
#     address = &quot;192.168.2.13:161&quot;
#     #address = &quot;127.0.0.1:161&quot;
#     community = &quot;public&quot;
#     version = 2
#     timeout = 2.0
#     retries = 2
#     #collect = [&quot;mybulk&quot;, &quot;sysservices&quot;, &quot;sysdescr&quot;, &quot;systype&quot;]
#     collect = [&quot;sysuptime&quot; ]
#     [[inputs.snmp.host.table]]
#       name = &quot;iftable3&quot;
#       include_instances = [&quot;enp5s0&quot;, &quot;eth1&quot;]
#
#   # SNMP TABLEs
#   # table without mapping neither subtables
#   [[inputs.snmp.table]]
#     name = &quot;iftable1&quot;
#     oid = &quot;.1.3.6.1.2.1.31.1.1.1&quot;
#
#   # table without mapping but with subtables
#   [[inputs.snmp.table]]
#     name = &quot;iftable2&quot;
#     oid = &quot;.1.3.6.1.2.1.31.1.1.1&quot;
#     sub_tables = [&quot;.1.3.6.1.2.1.2.2.1.13&quot;]
#
#   # table with mapping but without subtables
#   [[inputs.snmp.table]]
#     name = &quot;iftable3&quot;
#     oid = &quot;.1.3.6.1.2.1.31.1.1.1&quot;
#     # if empty. get all instances
#     mapping_table = &quot;.1.3.6.1.2.1.31.1.1.1.1&quot;
#     # if empty, get all subtables
#
#   # table with both mapping and subtables
#   [[inputs.snmp.table]]
#     name = &quot;iftable4&quot;
#     oid = &quot;.1.3.6.1.2.1.31.1.1.1&quot;
#     # if empty get all instances
#     mapping_table = &quot;.1.3.6.1.2.1.31.1.1.1.1&quot;
#     # if empty get all subtables
#     # sub_tables could be not &quot;real subtables&quot;
#     sub_tables=[&quot;.1.3.6.1.2.1.2.2.1.13&quot;, &quot;bytes_recv&quot;, &quot;bytes_send&quot;]

# # Read stats from one or more Solr servers or cores
# [[inputs.solr]]
#   ## specify a list of one or more Solr servers
#   servers = [&quot;http://localhost:8983&quot;]
#
#   ## specify a list of one or more Solr cores (default - all)
#   # cores = [&quot;main&quot;]
#
#   ## Optional HTTP Basic Auth Credentials
#   # username = &quot;username&quot;
#   # password = &quot;pa$$word&quot;

# # Read metrics from Microsoft SQL Server
# [[inputs.sqlserver]]
# ## Specify instances to monitor with a list of connection strings.
# ## All connection parameters are optional.
# ## By default, the host is localhost, listening on default port, TCP 1433.
# ##   for Windows, the user is the currently running AD user (SSO).
# ##   See https://github.com/denisenkom/go-mssqldb for detailed connection
# ##   parameters, in particular, tls connections can be created like so:
# ##   &quot;encrypt=true;certificate=&lt;cert&gt;;hostNameInCertificate=&lt;SqlServer host fqdn&gt;&quot;
# # servers = [
# #  &quot;Server=192.168.1.10;Port=1433;User Id=&lt;user&gt;;Password=&lt;pw&gt;;app name=telegraf;log=1;&quot;,
# # ]
#
# ## This enables a specific set of queries depending on the database type. If specified, it replaces azuredb = true/false and query_version = 2
# ## In the config file, the sql server plugin section should be repeated  each with a set of servers for a specific database_type.
# ## Possible values for database_type are
# ## &quot;AzureSQLDB&quot;
# ## &quot;SQLServer&quot;
# ## &quot;AzureSQLManagedInstance&quot;
# # database_type = &quot;AzureSQLDB&quot;
#
#
# ## Optional parameter, setting this to 2 will use a new version
# ## of the collection queries that break compatibility with the original
# ## dashboards.
# ## Version 2 - is compatible from SQL Server 2012 and later versions and also for SQL Azure DB
# query_version = 2
#
# ## If you are using AzureDB, setting this to true will gather resource utilization metrics
# # azuredb = false
#
# ## Possible queries
# ## Version 2:
# ## - PerformanceCounters
# ## - WaitStatsCategorized
# ## - DatabaseIO
# ## - ServerProperties
# ## - MemoryClerk
# ## - Schedulers
# ## - SqlRequests
# ## - VolumeSpace
# ## - Cpu
#
# ## Version 1:
# ## - PerformanceCounters
# ## - WaitStatsCategorized
# ## - CPUHistory
# ## - DatabaseIO
# ## - DatabaseSize
# ## - DatabaseStats
# ## - DatabaseProperties
# ## - MemoryClerk
# ## - VolumeSpace
# ## - PerformanceMetrics
#
#
# ## Queries enabled by default for specific Database Type
# ## database_type =  AzureSQLDB
# 	## AzureDBWaitStats, AzureDBResourceStats, AzureDBResourceGovernance, sqlAzureDBDatabaseIO
#
# ## A list of queries to include. If not specified, all the above listed queries are used.
# # include_query = []
#
# ## A list of queries to explicitly ignore.
# exclude_query = [ 'Schedulers' , 'SqlRequests']

# # Gather timeseries from Google Cloud Platform v3 monitoring API
# [[inputs.stackdriver]]
#   ## GCP Project
#   project = &quot;erudite-bloom-151019&quot;
#
#   ## Include timeseries that start with the given metric type.
#   metric_type_prefix_include = [
#     &quot;compute.googleapis.com/&quot;,
#   ]
#
#   ## Exclude timeseries that start with the given metric type.
#   # metric_type_prefix_exclude = []
#
#   ## Many metrics are updated once per minute; it is recommended to override
#   ## the agent level interval with a value of 1m or greater.
#   interval = &quot;1m&quot;
#
#   ## Maximum number of API calls to make per second.  The quota for accounts
#   ## varies, it can be viewed on the API dashboard:
#   ##   https://cloud.google.com/monitoring/quotas#quotas_and_limits
#   # rate_limit = 14
#
#   ## The delay and window options control the number of points selected on
#   ## each gather.  When set, metrics are gathered between:
#   ##   start: now() - delay - window
#   ##   end:   now() - delay
#   #
#   ## Collection delay; if set too low metrics may not yet be available.
#   # delay = &quot;5m&quot;
#   #
#   ## If unset, the window will start at 1m and be updated dynamically to span
#   ## the time between calls (approximately the length of the plugin interval).
#   # window = &quot;1m&quot;
#
#   ## TTL for cached list of metric types.  This is the maximum amount of time
#   ## it may take to discover new metrics.
#   # cache_ttl = &quot;1h&quot;
#
#   ## If true, raw bucket counts are collected for distribution value types.
#   ## For a more lightweight collection, you may wish to disable and use
#   ## distribution_aggregation_aligners instead.
#   # gather_raw_distribution_buckets = true
#
#   ## Aggregate functions to be used for metrics whose value type is
#   ## distribution.  These aggregate values are recorded in in addition to raw
#   ## bucket counts; if they are enabled.
#   ##
#   ## For a list of aligner strings see:
#   ##   https://cloud.google.com/monitoring/api/ref_v3/rpc/google.monitoring.v3#aligner
#   # distribution_aggregation_aligners = [
#   # 	&quot;ALIGN_PERCENTILE_99&quot;,
#   # 	&quot;ALIGN_PERCENTILE_95&quot;,
#   # 	&quot;ALIGN_PERCENTILE_50&quot;,
#   # ]
#
#   ## Filters can be added to reduce the number of time series matched.  All
#   ## functions are supported: starts_with, ends_with, has_substring, and
#   ## one_of.  Only the '=' operator is supported.
#   ##
#   ## The logical operators when combining filters are defined statically using
#   ## the following values:
#   ##   filter ::= &lt;resource_labels&gt; {AND &lt;metric_labels&gt;}
#   ##   resource_labels ::= &lt;resource_labels&gt; {OR &lt;resource_label&gt;}
#   ##   metric_labels ::= &lt;metric_labels&gt; {OR &lt;metric_label&gt;}
#   ##
#   ## For more details, see https://cloud.google.com/monitoring/api/v3/filters
#   #
#   ## Resource labels refine the time series selection with the following expression:
#   ##   resource.labels.&lt;key&gt; = &lt;value&gt;
#   # [[inputs.stackdriver.filter.resource_labels]]
#   #   key = &quot;instance_name&quot;
#   #   value = 'starts_with(&quot;localhost&quot;)'
#   #
#   ## Metric labels refine the time series selection with the following expression:
#   ##   metric.labels.&lt;key&gt; = &lt;value&gt;
#   #  [[inputs.stackdriver.filter.metric_labels]]
#   #  	 key = &quot;device_name&quot;
#   #  	 value = 'one_of(&quot;sda&quot;, &quot;sdb&quot;)'

# # Get synproxy counter statistics from procfs
# [[inputs.synproxy]]
#   # no configuration

# # Sysstat metrics collector
# [[inputs.sysstat]]
#   ## Path to the sadc command.
#   #
#   ## Common Defaults:
#   ##   Debian/Ubuntu: /usr/lib/sysstat/sadc
#   ##   Arch:          /usr/lib/sa/sadc
#   ##   RHEL/CentOS:   /usr/lib64/sa/sadc
#   sadc_path = &quot;/usr/lib/sa/sadc&quot; # required
#
#   ## Path to the sadf command, if it is not in PATH
#   # sadf_path = &quot;/usr/bin/sadf&quot;
#
#   ## Activities is a list of activities, that are passed as argument to the
#   ## sadc collector utility (e.g: DISK, SNMP etc...)
#   ## The more activities that are added, the more data is collected.
#   # activities = [&quot;DISK&quot;]
#
#   ## Group metrics to measurements.
#   ##
#   ## If group is false each metric will be prefixed with a description
#   ## and represents itself a measurement.
#   ##
#   ## If Group is true, corresponding metrics are grouped to a single measurement.
#   # group = true
#
#   ## Options for the sadf command. The values on the left represent the sadf
#   ## options and the values on the right their description (which are used for
#   ## grouping and prefixing metrics).
#   ##
#   ## Run 'sar -h' or 'man sar' to find out the supported options for your
#   ## sysstat version.
#   [inputs.sysstat.options]
#     -C = &quot;cpu&quot;
#     -B = &quot;paging&quot;
#     -b = &quot;io&quot;
#     -d = &quot;disk&quot;             # requires DISK activity
#     &quot;-n ALL&quot; = &quot;network&quot;
#     &quot;-P ALL&quot; = &quot;per_cpu&quot;
#     -q = &quot;queue&quot;
#     -R = &quot;mem&quot;
#     -r = &quot;mem_util&quot;
#     -S = &quot;swap_util&quot;
#     -u = &quot;cpu_util&quot;
#     -v = &quot;inode&quot;
#     -W = &quot;swap&quot;
#     -w = &quot;task&quot;
#   #  -H = &quot;hugepages&quot;        # only available for newer linux distributions
#   #  &quot;-I ALL&quot; = &quot;interrupts&quot; # requires INT activity
#
#   ## Device tags can be used to add additional tags for devices.
#   ## For example the configuration below adds a tag vg with value rootvg for
#   ## all metrics with sda devices.
#   # [[inputs.sysstat.device_tags.sda]]
#   #  vg = &quot;rootvg&quot;

# # Gather systemd units state
# [[inputs.systemd_units]]
#   ## Set timeout for systemctl execution
#   # timeout = &quot;1s&quot;
#   #
#   ## Filter for a specific unit type, default is &quot;service&quot;, other possible
#   ## values are &quot;socket&quot;, &quot;target&quot;, &quot;device&quot;, &quot;mount&quot;, &quot;automount&quot;, &quot;swap&quot;,
#   ## &quot;timer&quot;, &quot;path&quot;, &quot;slice&quot; and &quot;scope &quot;:
#   # unittype = &quot;service&quot;

# # Reads metrics from a Teamspeak 3 Server via ServerQuery
# [[inputs.teamspeak]]
#   ## Server address for Teamspeak 3 ServerQuery
#   # server = &quot;127.0.0.1:10011&quot;
#   ## Username for ServerQuery
#   username = &quot;serverqueryuser&quot;
#   ## Password for ServerQuery
#   password = &quot;secret&quot;
#   ## Array of virtual servers
#   # virtual_servers = [1]

# # Read metrics about temperature
# [[inputs.temp]]
#   # no configuration

# # Read Tengine's basic status information (ngx_http_reqstat_module)
# [[inputs.tengine]]
#   # An array of Tengine reqstat module URI to gather stats.
#   urls = [&quot;http://127.0.0.1/us&quot;]
#
#   # HTTP response timeout (default: 5s)
#   # response_timeout = &quot;5s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.cer&quot;
#   # tls_key = &quot;/etc/telegraf/key.key&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Gather metrics from the Tomcat server status page.
# [[inputs.tomcat]]
#   ## URL of the Tomcat server status
#   # url = &quot;http://127.0.0.1:8080/manager/status/all?XML=true&quot;
#
#   ## HTTP Basic Auth Credentials
#   # username = &quot;tomcat&quot;
#   # password = &quot;s3cret&quot;
#
#   ## Request timeout
#   # timeout = &quot;5s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Inserts sine and cosine waves for demonstration purposes
# [[inputs.trig]]
#   ## Set the amplitude
#   amplitude = 10.0

# # Read Twemproxy stats data
# [[inputs.twemproxy]]
#   ## Twemproxy stats address and port (no scheme)
#   addr = &quot;localhost:22222&quot;
#   ## Monitor pool name
#   pools = [&quot;redis_pool&quot;, &quot;mc_pool&quot;]

# # A plugin to collect stats from the Unbound DNS resolver
# [[inputs.unbound]]
#   ## Address of server to connect to, read from unbound conf default, optionally ':port'
#   ## Will lookup IP if given a hostname
#   server = &quot;127.0.0.1:8953&quot;
#
#   ## If running as a restricted user you can prepend sudo for additional access:
#   # use_sudo = false
#
#   ## The default location of the unbound-control binary can be overridden with:
#   # binary = &quot;/usr/sbin/unbound-control&quot;
#
#   ## The default location of the unbound config file can be overridden with:
#   # config_file = &quot;/etc/unbound/unbound.conf&quot;
#
#   ## The default timeout of 1s can be overridden with:
#   # timeout = &quot;1s&quot;
#
#   ## When set to true, thread metrics are tagged with the thread id.
#   ##
#   ## The default is false for backwards compatibility, and will be changed to
#   ## true in a future version.  It is recommended to set to true on new
#   ## deployments.
#   thread_as_tag = false

# # Read uWSGI metrics.
# [[inputs.uwsgi]]
#   ## List with urls of uWSGI Stats servers. URL must match pattern:
#   ## scheme://address[:port]
#   ##
#   ## For example:
#   ## servers = [&quot;tcp://localhost:5050&quot;, &quot;http://localhost:1717&quot;, &quot;unix:///tmp/statsock&quot;]
#   servers = [&quot;tcp://127.0.0.1:1717&quot;]
#
#   ## General connection timeout
#   # timeout = &quot;5s&quot;

# # A plugin to collect stats from Varnish HTTP Cache
# [[inputs.varnish]]
#   ## If running as a restricted user you can prepend sudo for additional access:
#   #use_sudo = false
#
#   ## The default location of the varnishstat binary can be overridden with:
#   binary = &quot;/usr/bin/varnishstat&quot;
#
#   ## By default, telegraf gather stats for 3 metric points.
#   ## Setting stats will override the defaults shown below.
#   ## Glob matching can be used, ie, stats = [&quot;MAIN.*&quot;]
#   ## stats may also be set to [&quot;*&quot;], which will collect all stats
#   stats = [&quot;MAIN.cache_hit&quot;, &quot;MAIN.cache_miss&quot;, &quot;MAIN.uptime&quot;]
#
#   ## Optional name for the varnish instance (or working directory) to query
#   ## Usually append after -n in varnish cli
#   # instance_name = instanceName
#
#   ## Timeout for varnishstat command
#   # timeout = &quot;1s&quot;

# # Collect Wireguard server interface and peer statistics
# [[inputs.wireguard]]
#   ## Optional list of Wireguard device/interface names to query.
#   ## If omitted, all Wireguard interfaces are queried.
#   # devices = [&quot;wg0&quot;]

# # Monitor wifi signal strength and quality
# [[inputs.wireless]]
#   ## Sets 'proc' directory path
#   ## If not specified, then default is /proc
#   # host_proc = &quot;/proc&quot;

# # Reads metrics from a SSL certificate
# [[inputs.x509_cert]]
#   ## List certificate sources
#   sources = [&quot;/etc/ssl/certs/ssl-cert-snakeoil.pem&quot;, &quot;tcp://example.org:443&quot;]
#
#   ## Timeout for SSL connection
#   # timeout = &quot;5s&quot;
#
#   ## Pass a different name into the TLS request (Server Name Indication)
#   ##   example: server_name = &quot;myhost.example.org&quot;
#   # server_name = &quot;&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;

# # Read metrics of ZFS from arcstats, zfetchstats, vdev_cache_stats, and pools
# [[inputs.zfs]]
#   ## ZFS kstat path. Ignored on FreeBSD
#   ## If not specified, then default is:
#   # kstatPath = &quot;/proc/spl/kstat/zfs&quot;
#
#   ## By default, telegraf gather all zfs stats
#   ## If not specified, then default is:
#   # kstatMetrics = [&quot;arcstats&quot;, &quot;zfetchstats&quot;, &quot;vdev_cache_stats&quot;]
#   ## For Linux, the default is:
#   # kstatMetrics = [&quot;abdstats&quot;, &quot;arcstats&quot;, &quot;dnodestats&quot;, &quot;dbufcachestats&quot;,
#   #   &quot;dmu_tx&quot;, &quot;fm&quot;, &quot;vdev_mirror_stats&quot;, &quot;zfetchstats&quot;, &quot;zil&quot;]
#   ## By default, don't gather zpool stats
#   # poolMetrics = false

# # Reads 'mntr' stats from one or many zookeeper servers
# [[inputs.zookeeper]]
#   ## An array of address to gather stats about. Specify an ip or hostname
#   ## with port. ie localhost:2181, 10.0.0.1:2181, etc.
#
#   ## If no servers are specified, then localhost is used as the host.
#   ## If no port is specified, 2181 is used
#   servers = [&quot;:2181&quot;]
#
#   ## Timeout for metric collections from all servers.  Minimum timeout is &quot;1s&quot;.
#   # timeout = &quot;5s&quot;
#
#   ## Optional TLS Config
#   # enable_tls = true
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## If false, skip chain &amp; host verification
#   # insecure_skip_verify = true

###############################################################################
#                            SERVICE INPUT PLUGINS                            #
###############################################################################

# # AMQP consumer plugin
# [[inputs.amqp_consumer]]
#   ## Broker to consume from.
#   ##   deprecated in 1.7; use the brokers option
#   # url = &quot;amqp://localhost:5672/influxdb&quot;
#
#   ## Brokers to consume from.  If multiple brokers are specified a random broker
#   ## will be selected anytime a connection is established.  This can be
#   ## helpful for load balancing when not using a dedicated load balancer.
#   brokers = [&quot;amqp://localhost:5672/influxdb&quot;]
#
#   ## Authentication credentials for the PLAIN auth_method.
#   # username = &quot;&quot;
#   # password = &quot;&quot;
#
#   ## Name of the exchange to declare.  If unset, no exchange will be declared.
#   exchange = &quot;telegraf&quot;
#
#   ## Exchange type; common types are &quot;direct&quot;, &quot;fanout&quot;, &quot;topic&quot;, &quot;header&quot;, &quot;x-consistent-hash&quot;.
#   # exchange_type = &quot;topic&quot;
#
#   ## If true, exchange will be passively declared.
#   # exchange_passive = false
#
#   ## Exchange durability can be either &quot;transient&quot; or &quot;durable&quot;.
#   # exchange_durability = &quot;durable&quot;
#
#   ## Additional exchange arguments.
#   # exchange_arguments = { }
#   # exchange_arguments = {&quot;hash_property&quot; = &quot;timestamp&quot;}
#
#   ## AMQP queue name.
#   queue = &quot;telegraf&quot;
#
#   ## AMQP queue durability can be &quot;transient&quot; or &quot;durable&quot;.
#   queue_durability = &quot;durable&quot;
#
#   ## If true, queue will be passively declared.
#   # queue_passive = false
#
#   ## A binding between the exchange and queue using this binding key is
#   ## created.  If unset, no binding is created.
#   binding_key = &quot;#&quot;
#
#   ## Maximum number of messages server should give to the worker.
#   # prefetch_count = 50
#
#   ## Maximum messages to read from the broker that have not been written by an
#   ## output.  For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message from the queue contains 10 metrics and the
#   ## output metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Auth method. PLAIN and EXTERNAL are supported
#   ## Using EXTERNAL requires enabling the rabbitmq_auth_mechanism_ssl plugin as
#   ## described here: https://www.rabbitmq.com/plugins.html
#   # auth_method = &quot;PLAIN&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## Content encoding for message payloads, can be set to &quot;gzip&quot; to or
#   ## &quot;identity&quot; to apply no encoding.
#   # content_encoding = &quot;identity&quot;
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = &quot;influx&quot;

# # Read Cassandra metrics through Jolokia
# [[inputs.cassandra]]
#   ## DEPRECATED: The cassandra plugin has been deprecated.  Please use the
#   ## jolokia2 plugin instead.
#   ##
#   ## see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/jolokia2
#
#   context = &quot;/jolokia/read&quot;
#   ## List of cassandra servers exposing jolokia read service
#   servers = [&quot;myuser:mypassword@10.10.10.1:8778&quot;,&quot;10.10.10.2:8778&quot;,&quot;:8778&quot;]
#   ## List of metrics collected on above servers
#   ## Each metric consists of a jmx path.
#   ## This will collect all heap memory usage metrics from the jvm and
#   ## ReadLatency metrics for all keyspaces and tables.
#   ## &quot;type=Table&quot; in the query works with Cassandra3.0. Older versions might
#   ## need to use &quot;type=ColumnFamily&quot;
#   metrics  = [
#     &quot;/java.lang:type=Memory/HeapMemoryUsage&quot;,
#     &quot;/org.apache.cassandra.metrics:type=Table,keyspace=*,scope=*,name=ReadLatency&quot;
#   ]

# # Cisco model-driven telemetry (MDT) input plugin for IOS XR, IOS XE and NX-OS platforms
# [[inputs.cisco_telemetry_mdt]]
#  ## Telemetry transport can be &quot;tcp&quot; or &quot;grpc&quot;.  TLS is only supported when
#  ## using the grpc transport.
#  transport = &quot;grpc&quot;
#
#  ## Address and port to host telemetry listener
#  service_address = &quot;:57000&quot;
#
#  ## Enable TLS; grpc transport only.
#  # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#  # tls_key = &quot;/etc/telegraf/key.pem&quot;
#
#  ## Enable TLS client authentication and define allowed CA certificates; grpc
#  ##  transport only.
#  # tls_allowed_cacerts = [&quot;/etc/telegraf/clientca.pem&quot;]
#
#  ## Define (for certain nested telemetry measurements with embedded tags) which fields are tags
#  # embedded_tags = [&quot;Cisco-IOS-XR-qos-ma-oper:qos/interface-table/interface/input/service-policy-names/service-policy-instance/statistics/class-stats/class-name&quot;]
#
#  ## Define aliases to map telemetry encoding paths to simple measurement names
#  [inputs.cisco_telemetry_mdt.aliases]
#    ifstats = &quot;ietf-interfaces:interfaces-state/interface/statistics&quot;

# # Read metrics from one or many ClickHouse servers
# [[inputs.clickhouse]]
#   ## Username for authorization on ClickHouse server
#   ## example: username = &quot;default&quot;&quot;
#   username = &quot;default&quot;
#
#   ## Password for authorization on ClickHouse server
#   ## example: password = &quot;super_secret&quot;
#
#   ## HTTP(s) timeout while getting metrics values
#   ## The timeout includes connection time, any redirects, and reading the response body.
#   ##   example: timeout = 1s
#   # timeout = 5s
#
#   ## List of servers for metrics scraping
#   ## metrics scrape via HTTP(s) clickhouse interface
#   ## https://clickhouse.tech/docs/en/interfaces/http/
#   ##    example: servers = [&quot;http://127.0.0.1:8123&quot;,&quot;https://custom-server.mdb.yandexcloud.net&quot;]
#   servers         = [&quot;http://127.0.0.1:8123&quot;]
#
#   ## If &quot;auto_discovery&quot;&quot; is &quot;true&quot; plugin tries to connect to all servers available in the cluster
#   ## with using same &quot;user:password&quot; described in &quot;user&quot; and &quot;password&quot; parameters
#   ## and get this server hostname list from &quot;system.clusters&quot; table
#   ## see
#   ## - https://clickhouse.tech/docs/en/operations/system_tables/#system-clusters
#   ## - https://clickhouse.tech/docs/en/operations/server_settings/settings/#server_settings_remote_servers
#   ## - https://clickhouse.tech/docs/en/operations/table_engines/distributed/
#   ## - https://clickhouse.tech/docs/en/operations/table_engines/replication/#creating-replicated-tables
#   ##    example: auto_discovery = false
#   # auto_discovery = true
#
#   ## Filter cluster names in &quot;system.clusters&quot; when &quot;auto_discovery&quot; is &quot;true&quot;
#   ## when this filter present then &quot;WHERE cluster IN (...)&quot; filter will apply
#   ## please use only full cluster names here, regexp and glob filters is not allowed
#   ## for &quot;/etc/clickhouse-server/config.d/remote.xml&quot;
#   ## &lt;yandex&gt;
#   ##  &lt;remote_servers&gt;
#   ##    &lt;my-own-cluster&gt;
#   ##        &lt;shard&gt;
#   ##          &lt;replica&gt;&lt;host&gt;clickhouse-ru-1.local&lt;/host&gt;&lt;port&gt;9000&lt;/port&gt;&lt;/replica&gt;
#   ##          &lt;replica&gt;&lt;host&gt;clickhouse-ru-2.local&lt;/host&gt;&lt;port&gt;9000&lt;/port&gt;&lt;/replica&gt;
#   ##        &lt;/shard&gt;
#   ##        &lt;shard&gt;
#   ##          &lt;replica&gt;&lt;host&gt;clickhouse-eu-1.local&lt;/host&gt;&lt;port&gt;9000&lt;/port&gt;&lt;/replica&gt;
#   ##          &lt;replica&gt;&lt;host&gt;clickhouse-eu-2.local&lt;/host&gt;&lt;port&gt;9000&lt;/port&gt;&lt;/replica&gt;
#   ##        &lt;/shard&gt;
#   ##    &lt;/my-onw-cluster&gt;
#   ##  &lt;/remote_servers&gt;
#   ##
#   ## &lt;/yandex&gt;
#   ##
#   ## example: cluster_include = [&quot;my-own-cluster&quot;]
#   # cluster_include = []
#
#   ## Filter cluster names in &quot;system.clusters&quot; when &quot;auto_discovery&quot; is &quot;true&quot;
#   ## when this filter present then &quot;WHERE cluster NOT IN (...)&quot; filter will apply
#   ##    example: cluster_exclude = [&quot;my-internal-not-discovered-cluster&quot;]
#   # cluster_exclude = []
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Read metrics from Google PubSub
# [[inputs.cloud_pubsub]]
#   ## Required. Name of Google Cloud Platform (GCP) Project that owns
#   ## the given PubSub subscription.
#   project = &quot;my-project&quot;
#
#   ## Required. Name of PubSub subscription to ingest metrics from.
#   subscription = &quot;my-subscription&quot;
#
#   ## Required. Data format to consume.
#   ## Each data format has its own unique set of configuration options.
#   ## Read more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = &quot;influx&quot;
#
#   ## Optional. Filepath for GCP credentials JSON file to authorize calls to
#   ## PubSub APIs. If not set explicitly, Telegraf will attempt to use
#   ## Application Default Credentials, which is preferred.
#   # credentials_file = &quot;path/to/my/creds.json&quot;
#
#   ## Optional. Number of seconds to wait before attempting to restart the
#   ## PubSub subscription receiver after an unexpected error.
#   ## If the streaming pull for a PubSub Subscription fails (receiver),
#   ## the agent attempts to restart receiving messages after this many seconds.
#   # retry_delay_seconds = 5
#
#   ## Optional. Maximum byte length of a message to consume.
#   ## Larger messages are dropped with an error. If less than 0 or unspecified,
#   ## treated as no limit.
#   # max_message_len = 1000000
#
#   ## Optional. Maximum messages to read from PubSub that have not been written
#   ## to an output. Defaults to 1000.
#   ## For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message contains 10 metrics and the output
#   ## metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## The following are optional Subscription ReceiveSettings in PubSub.
#   ## Read more about these values:
#   ## https://godoc.org/cloud.google.com/go/pubsub#ReceiveSettings
#
#   ## Optional. Maximum number of seconds for which a PubSub subscription
#   ## should auto-extend the PubSub ACK deadline for each message. If less than
#   ## 0, auto-extension is disabled.
#   # max_extension = 0
#
#   ## Optional. Maximum number of unprocessed messages in PubSub
#   ## (unacknowledged but not yet expired in PubSub).
#   ## A value of 0 is treated as the default PubSub value.
#   ## Negative values will be treated as unlimited.
#   # max_outstanding_messages = 0
#
#   ## Optional. Maximum size in bytes of unprocessed messages in PubSub
#   ## (unacknowledged but not yet expired in PubSub).
#   ## A value of 0 is treated as the default PubSub value.
#   ## Negative values will be treated as unlimited.
#   # max_outstanding_bytes = 0
#
#   ## Optional. Max number of goroutines a PubSub Subscription receiver can spawn
#   ## to pull messages from PubSub concurrently. This limit applies to each
#   ## subscription separately and is treated as the PubSub default if less than
#   ## 1. Note this setting does not limit the number of messages that can be
#   ## processed concurrently (use &quot;max_outstanding_messages&quot; instead).
#   # max_receiver_go_routines = 0
#
#   ## Optional. If true, Telegraf will attempt to base64 decode the
#   ## PubSub message data before parsing
#   # base64_data = false

# # Google Cloud Pub/Sub Push HTTP listener
# [[inputs.cloud_pubsub_push]]
#   ## Address and port to host HTTP listener on
#   service_address = &quot;:8080&quot;
#
#   ## Application secret to verify messages originate from Cloud Pub/Sub
#   # token = &quot;&quot;
#
#   ## Path to listen to.
#   # path = &quot;/&quot;
#
#   ## Maximum duration before timing out read of the request
#   # read_timeout = &quot;10s&quot;
#   ## Maximum duration before timing out write of the response. This should be set to a value
#   ## large enough that you can send at least 'metric_batch_size' number of messages within the
#   ## duration.
#   # write_timeout = &quot;10s&quot;
#
#   ## Maximum allowed http request body size in bytes.
#   ## 0 means to use the default of 524,288,00 bytes (500 mebibytes)
#   # max_body_size = &quot;500MB&quot;
#
#   ## Whether to add the pubsub metadata, such as message attributes and subscription as a tag.
#   # add_meta = false
#
#   ## Optional. Maximum messages to read from PubSub that have not been written
#   ## to an output. Defaults to 1000.
#   ## For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message contains 10 metrics and the output
#   ## metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   # tls_allowed_cacerts = [&quot;/etc/telegraf/clientca.pem&quot;]
#
#   ## Add service certificate and key
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = &quot;influx&quot;

# # Read logging output from the Docker engine
# [[inputs.docker_log]]
#   ## Docker Endpoint
#   ##   To use TCP, set endpoint = &quot;tcp://[ip]:[port]&quot;
#   ##   To use environment variables (ie, docker-machine), set endpoint = &quot;ENV&quot;
#   # endpoint = &quot;unix:///var/run/docker.sock&quot;
#
#   ## When true, container logs are read from the beginning; otherwise
#   ## reading begins at the end of the log.
#   # from_beginning = false
#
#   ## Timeout for Docker API calls.
#   # timeout = &quot;5s&quot;
#
#   ## Containers to include and exclude. Globs accepted.
#   ## Note that an empty array for both will include all containers
#   # container_name_include = []
#   # container_name_exclude = []
#
#   ## Container states to include and exclude. Globs accepted.
#   ## When empty only containers in the &quot;running&quot; state will be captured.
#   # container_state_include = []
#   # container_state_exclude = []
#
#   ## docker labels to include and exclude as tags.  Globs accepted.
#   ## Note that an empty array for both will include all labels as tags
#   # docker_label_include = []
#   # docker_label_exclude = []
#
#   ## Set the source tag for the metrics to the container ID hostname, eg first 12 chars
#   source_tag = false
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # Azure Event Hubs service input plugin
# [[inputs.eventhub_consumer]]
#   ## The default behavior is to create a new Event Hub client from environment variables.
#   ## This requires one of the following sets of environment variables to be set:
#   ##
#   ## 1) Expected Environment Variables:
#   ##    - &quot;EVENTHUB_NAMESPACE&quot;
#   ##    - &quot;EVENTHUB_NAME&quot;
#   ##    - &quot;EVENTHUB_CONNECTION_STRING&quot;
#   ##
#   ## 2) Expected Environment Variables:
#   ##    - &quot;EVENTHUB_NAMESPACE&quot;
#   ##    - &quot;EVENTHUB_NAME&quot;
#   ##    - &quot;EVENTHUB_KEY_NAME&quot;
#   ##    - &quot;EVENTHUB_KEY_VALUE&quot;
#
#   ## Uncommenting the option below will create an Event Hub client based solely on the connection string.
#   ## This can either be the associated environment variable or hard coded directly.
#   # connection_string = &quot;&quot;
#
#   ## Set persistence directory to a valid folder to use a file persister instead of an in-memory persister
#   # persistence_dir = &quot;&quot;
#
#   ## Change the default consumer group
#   # consumer_group = &quot;&quot;
#
#   ## By default the event hub receives all messages present on the broker, alternative modes can be set below.
#   ## The timestamp should be in https://github.com/toml-lang/toml#offset-date-time format (RFC 3339).
#   ## The 3 options below only apply if no valid persister is read from memory or file (e.g. first run).
#   # from_timestamp =
#   # latest = true
#
#   ## Set a custom prefetch count for the receiver(s)
#   # prefetch_count = 1000
#
#   ## Add an epoch to the receiver(s)
#   # epoch = 0
#
#   ## Change to set a custom user agent, &quot;telegraf&quot; is used by default
#   # user_agent = &quot;telegraf&quot;
#
#   ## To consume from a specific partition, set the partition_ids option.
#   ## An empty array will result in receiving from all partitions.
#   # partition_ids = [&quot;0&quot;,&quot;1&quot;]
#
#   ## Max undelivered messages
#   # max_undelivered_messages = 1000
#
#   ## Set either option below to true to use a system property as timestamp.
#   ## You have the choice between EnqueuedTime and IoTHubEnqueuedTime.
#   ## It is recommended to use this setting when the data itself has no timestamp.
#   # enqueued_time_as_ts = true
#   # iot_hub_enqueued_time_as_ts = true
#
#   ## Tags or fields to create from keys present in the application property bag.
#   ## These could for example be set by message enrichments in Azure IoT Hub.
#   # application_property_tags = []
#   # application_property_fields = []
#
#   ## Tag or field name to use for metadata
#   ## By default all metadata is disabled
#   # sequence_number_field = &quot;SequenceNumber&quot;
#   # enqueued_time_field = &quot;EnqueuedTime&quot;
#   # offset_field = &quot;Offset&quot;
#   # partition_id_tag = &quot;PartitionID&quot;
#   # partition_key_tag = &quot;PartitionKey&quot;
#   # iot_hub_device_connection_id_tag = &quot;IoTHubDeviceConnectionID&quot;
#   # iot_hub_auth_generation_id_tag = &quot;IoTHubAuthGenerationID&quot;
#   # iot_hub_connection_auth_method_tag = &quot;IoTHubConnectionAuthMethod&quot;
#   # iot_hub_connection_module_id_tag = &quot;IoTHubConnectionModuleID&quot;
#   # iot_hub_enqueued_time_field = &quot;IoTHubEnqueuedTime&quot;
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = &quot;influx&quot;

# # Run executable as long-running input plugin
# [[inputs.execd]]
#   ## Program to run as daemon
#   command = [&quot;telegraf-smartctl&quot;, &quot;-d&quot;, &quot;/dev/sda&quot;]
#
#   ## Define how the process is signaled on each collection interval.
#   ## Valid values are:
#   ##   &quot;none&quot;   : Do not signal anything.
#   ##              The process must output metrics by itself.
#   ##   &quot;STDIN&quot;   : Send a newline on STDIN.
#   ##   &quot;SIGHUP&quot;  : Send a HUP signal. Not available on Windows.
#   ##   &quot;SIGUSR1&quot; : Send a USR1 signal. Not available on Windows.
#   ##   &quot;SIGUSR2&quot; : Send a USR2 signal. Not available on Windows.
#   signal = &quot;none&quot;
#
#   ## Delay before the process is restarted after an unexpected termination
#   restart_delay = &quot;10s&quot;
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = &quot;influx&quot;

# # gNMI telemetry input plugin
# [[inputs.gnmi]]
#  ## Address and port of the gNMI GRPC server
#  addresses = [&quot;10.49.234.114:57777&quot;]
#
#  ## define credentials
#  username = &quot;cisco&quot;
#  password = &quot;cisco&quot;
#
#  ## gNMI encoding requested (one of: &quot;proto&quot;, &quot;json&quot;, &quot;json_ietf&quot;)
#  # encoding = &quot;proto&quot;
#
#  ## redial in case of failures after
#  redial = &quot;10s&quot;
#
#  ## enable client-side TLS and define CA to authenticate the device
#  # enable_tls = true
#  # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#  # insecure_skip_verify = true
#
#  ## define client-side TLS certificate &amp; key to authenticate to the device
#  # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#  # tls_key = &quot;/etc/telegraf/key.pem&quot;
#
#  ## gNMI subscription prefix (optional, can usually be left empty)
#  ## See: https://github.com/openconfig/reference/blob/master/rpc/gnmi/gnmi-specification.md#222-paths
#  # origin = &quot;&quot;
#  # prefix = &quot;&quot;
#  # target = &quot;&quot;
#
#  ## Define additional aliases to map telemetry encoding paths to simple measurement names
#  #[inputs.gnmi.aliases]
#  #  ifcounters = &quot;openconfig:/interfaces/interface/state/counters&quot;
#
#  [[inputs.gnmi.subscription]]
#   ## Name of the measurement that will be emitted
#   name = &quot;ifcounters&quot;
#
#   ## Origin and path of the subscription
#   ## See: https://github.com/openconfig/reference/blob/master/rpc/gnmi/gnmi-specification.md#222-paths
#   ##
#   ## origin usually refers to a (YANG) data model implemented by the device
#   ## and path to a specific substructure inside it that should be subscribed to (similar to an XPath)
#   ## YANG models can be found e.g. here: https://github.com/YangModels/yang/tree/master/vendor/cisco/xr
#   origin = &quot;openconfig-interfaces&quot;
#   path = &quot;/interfaces/interface/state/counters&quot;
#
#   # Subscription mode (one of: &quot;target_defined&quot;, &quot;sample&quot;, &quot;on_change&quot;) and interval
#   subscription_mode = &quot;sample&quot;
#   sample_interval = &quot;10s&quot;
#
#   ## Suppress redundant transmissions when measured values are unchanged
#   # suppress_redundant = false
#
#   ## If suppression is enabled, send updates at least every X seconds anyway
#   # heartbeat_interval = &quot;60s&quot;

# # Accept metrics over InfluxDB 1.x HTTP API
# [[inputs.http_listener]]
#   ## Address and port to host InfluxDB listener on
#   service_address = &quot;:8186&quot;
#
#   ## maximum duration before timing out read of the request
#   read_timeout = &quot;10s&quot;
#   ## maximum duration before timing out write of the response
#   write_timeout = &quot;10s&quot;
#
#   ## Maximum allowed HTTP request body size in bytes.
#   ## 0 means to use the default of 32MiB.
#   max_body_size = &quot;32MiB&quot;
#
#   ## Optional tag name used to store the database.
#   ## If the write has a database in the query string then it will be kept in this tag name.
#   ## This tag can be used in downstream outputs.
#   ## The default value of nothing means it will be off and the database will not be recorded.
#   # database_tag = &quot;&quot;
#
#   ## If set the retention policy specified in the write query will be added as
#   ## the value of this tag name.
#   # retention_policy_tag = &quot;&quot;
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   tls_allowed_cacerts = [&quot;/etc/telegraf/clientca.pem&quot;]
#
#   ## Add service certificate and key
#   tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   tls_key = &quot;/etc/telegraf/key.pem&quot;
#
#   ## Optional username and password to accept for HTTP basic authentication.
#   ## You probably want to make sure you have TLS configured above for this.
#   # basic_username = &quot;foobar&quot;
#   # basic_password = &quot;barfoo&quot;

# # Generic HTTP write listener
# [[inputs.http_listener_v2]]
#   ## Address and port to host HTTP listener on
#   service_address = &quot;:8080&quot;
#
#   ## Path to listen to.
#   # path = &quot;/telegraf&quot;
#
#   ## HTTP methods to accept.
#   # methods = [&quot;POST&quot;, &quot;PUT&quot;]
#
#   ## maximum duration before timing out read of the request
#   # read_timeout = &quot;10s&quot;
#   ## maximum duration before timing out write of the response
#   # write_timeout = &quot;10s&quot;
#
#   ## Maximum allowed http request body size in bytes.
#   ## 0 means to use the default of 524,288,00 bytes (500 mebibytes)
#   # max_body_size = &quot;500MB&quot;
#
#   ## Part of the request to consume.  Available options are &quot;body&quot; and
#   ## &quot;query&quot;.
#   # data_source = &quot;body&quot;
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   # tls_allowed_cacerts = [&quot;/etc/telegraf/clientca.pem&quot;]
#
#   ## Add service certificate and key
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#
#   ## Optional username and password to accept for HTTP basic authentication.
#   ## You probably want to make sure you have TLS configured above for this.
#   # basic_username = &quot;foobar&quot;
#   # basic_password = &quot;barfoo&quot;
#
#   ## Optional setting to map http headers into tags
#   ## If the http header is not present on the request, no corresponding tag will be added
#   ## If multiple instances of the http header are present, only the first value will be used
#   # http_header_tags = {&quot;HTTP_HEADER&quot; = &quot;TAG_NAME&quot;}
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = &quot;influx&quot;

# # Accept metrics over InfluxDB 1.x HTTP API
# [[inputs.influxdb_listener]]
#   ## Address and port to host InfluxDB listener on
#   service_address = &quot;:8186&quot;
#
#   ## maximum duration before timing out read of the request
#   read_timeout = &quot;10s&quot;
#   ## maximum duration before timing out write of the response
#   write_timeout = &quot;10s&quot;
#
#   ## Maximum allowed HTTP request body size in bytes.
#   ## 0 means to use the default of 32MiB.
#   max_body_size = &quot;32MiB&quot;
#
#   ## Optional tag name used to store the database.
#   ## If the write has a database in the query string then it will be kept in this tag name.
#   ## This tag can be used in downstream outputs.
#   ## The default value of nothing means it will be off and the database will not be recorded.
#   # database_tag = &quot;&quot;
#
#   ## If set the retention policy specified in the write query will be added as
#   ## the value of this tag name.
#   # retention_policy_tag = &quot;&quot;
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   tls_allowed_cacerts = [&quot;/etc/telegraf/clientca.pem&quot;]
#
#   ## Add service certificate and key
#   tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   tls_key = &quot;/etc/telegraf/key.pem&quot;
#
#   ## Optional username and password to accept for HTTP basic authentication.
#   ## You probably want to make sure you have TLS configured above for this.
#   # basic_username = &quot;foobar&quot;
#   # basic_password = &quot;barfoo&quot;

# # Accept metrics over InfluxDB 2.x HTTP API
# [[inputs.influxdb_v2_listener]]
#   ## Address and port to host InfluxDB listener on
#   ## (Double check the port. Could be 9999 if using OSS Beta)
#   service_address = &quot;:8086&quot;
#
#   ## Maximum allowed HTTP request body size in bytes.
#   ## 0 means to use the default of 32MiB.
#   # max_body_size = &quot;32MiB&quot;
#
#   ## Optional tag to determine the bucket.
#   ## If the write has a bucket in the query string then it will be kept in this tag name.
#   ## This tag can be used in downstream outputs.
#   ## The default value of nothing means it will be off and the database will not be recorded.
#   # bucket_tag = &quot;&quot;
#
#   ## Set one or more allowed client CA certificate file names to
#   ## enable mutually authenticated TLS connections
#   # tls_allowed_cacerts = [&quot;/etc/telegraf/clientca.pem&quot;]
#
#   ## Add service certificate and key
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#
#   ## Optional token to accept for HTTP authentication.
#   ## You probably want to make sure you have TLS configured above for this.
#   # token = &quot;some-long-shared-secret-token&quot;

# # Intel Resource Director Technology plugin
# [[inputs.intel_rdt]]
# 	## Optionally set sampling interval to Nx100ms.
# 	## This value is propagated to pqos tool. Interval format is defined by pqos itself.
# 	## If not provided or provided 0, will be set to 10 = 10x100ms = 1s.
# 	# sampling_interval = &quot;10&quot;
# 	
# 	## Optionally specify the path to pqos executable.
# 	## If not provided, auto discovery will be performed.
# 	# pqos_path = &quot;/usr/local/bin/pqos&quot;
#
# 	## Optionally specify if IPC and LLC_Misses metrics shouldn't be propagated.
# 	## If not provided, default value is false.
# 	# shortened_metrics = false
# 	
# 	## Specify the list of groups of CPU core(s) to be provided as pqos input.
# 	## Mandatory if processes aren't set and forbidden if processes are specified.
# 	## e.g. [&quot;0-3&quot;, &quot;4,5,6&quot;] or [&quot;1-3,4&quot;]
# 	# cores = [&quot;0-3&quot;]
# 	
# 	## Specify the list of processes for which Metrics will be collected.
# 	## Mandatory if cores aren't set and forbidden if cores are specified.
# 	## e.g. [&quot;qemu&quot;, &quot;pmd&quot;]
# 	# processes = [&quot;process&quot;]

# # Read JTI OpenConfig Telemetry from listed sensors
# [[inputs.jti_openconfig_telemetry]]
#   ## List of device addresses to collect telemetry from
#   servers = [&quot;localhost:1883&quot;]
#
#   ## Authentication details. Username and password are must if device expects
#   ## authentication. Client ID must be unique when connecting from multiple instances
#   ## of telegraf to the same device
#   username = &quot;user&quot;
#   password = &quot;pass&quot;
#   client_id = &quot;telegraf&quot;
#
#   ## Frequency to get data
#   sample_frequency = &quot;1000ms&quot;
#
#   ## Sensors to subscribe for
#   ## A identifier for each sensor can be provided in path by separating with space
#   ## Else sensor path will be used as identifier
#   ## When identifier is used, we can provide a list of space separated sensors.
#   ## A single subscription will be created with all these sensors and data will
#   ## be saved to measurement with this identifier name
#   sensors = [
#    &quot;/interfaces/&quot;,
#    &quot;collection /components/ /lldp&quot;,
#   ]
#
#   ## We allow specifying sensor group level reporting rate. To do this, specify the
#   ## reporting rate in Duration at the beginning of sensor paths / collection
#   ## name. For entries without reporting rate, we use configured sample frequency
#   sensors = [
#    &quot;1000ms customReporting /interfaces /lldp&quot;,
#    &quot;2000ms collection /components&quot;,
#    &quot;/interfaces&quot;,
#   ]
#
#   ## Optional TLS Config
#   # enable_tls = true
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## Delay between retry attempts of failed RPC calls or streams. Defaults to 1000ms.
#   ## Failed streams/calls will not be retried if 0 is provided
#   retry_delay = &quot;1000ms&quot;
#
#   ## To treat all string values as tags, set this to true
#   str_as_tags = false

# # Read metrics from Kafka topics
# [[inputs.kafka_consumer]]
#   ## Kafka brokers.
#   brokers = [&quot;localhost:9092&quot;]
#
#   ## Topics to consume.
#   topics = [&quot;telegraf&quot;]
#
#   ## When set this tag will be added to all metrics with the topic as the value.
#   # topic_tag = &quot;&quot;
#
#   ## Optional Client id
#   # client_id = &quot;Telegraf&quot;
#
#   ## Set the minimal supported Kafka version.  Setting this enables the use of new
#   ## Kafka features and APIs.  Must be 0.10.2.0 or greater.
#   ##   ex: version = &quot;1.1.0&quot;
#   # version = &quot;&quot;
#
#   ## Optional TLS Config
#   # enable_tls = true
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## SASL authentication credentials.  These settings should typically be used
#   ## with TLS encryption enabled using the &quot;enable_tls&quot; option.
#   # sasl_username = &quot;kafka&quot;
#   # sasl_password = &quot;secret&quot;
#
#   ## SASL protocol version.  When connecting to Azure EventHub set to 0.
#   # sasl_version = 1
#
#   ## Name of the consumer group.
#   # consumer_group = &quot;telegraf_metrics_consumers&quot;
#
#   ## Initial offset position; one of &quot;oldest&quot; or &quot;newest&quot;.
#   # offset = &quot;oldest&quot;
#
#   ## Consumer group partition assignment strategy; one of &quot;range&quot;, &quot;roundrobin&quot; or &quot;sticky&quot;.
#   # balance_strategy = &quot;range&quot;
#
#   ## Maximum length of a message to consume, in bytes (default 0/unlimited);
#   ## larger messages are dropped
#   max_message_len = 1000000
#
#   ## Maximum messages to read from the broker that have not been written by an
#   ## output.  For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message from the queue contains 10 metrics and the
#   ## output metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = &quot;influx&quot;

# # Read metrics from Kafka topic(s)
# [[inputs.kafka_consumer_legacy]]
#   ## topic(s) to consume
#   topics = [&quot;telegraf&quot;]
#
#   ## an array of Zookeeper connection strings
#   zookeeper_peers = [&quot;localhost:2181&quot;]
#
#   ## Zookeeper Chroot
#   zookeeper_chroot = &quot;&quot;
#
#   ## the name of the consumer group
#   consumer_group = &quot;telegraf_metrics_consumers&quot;
#
#   ## Offset (must be either &quot;oldest&quot; or &quot;newest&quot;)
#   offset = &quot;oldest&quot;
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = &quot;influx&quot;
#
#   ## Maximum length of a message to consume, in bytes (default 0/unlimited);
#   ## larger messages are dropped
#   max_message_len = 65536

# # Configuration for the AWS Kinesis input.
# [[inputs.kinesis_consumer]]
#   ## Amazon REGION of kinesis endpoint.
#   region = &quot;ap-southeast-2&quot;
#
#   ## Amazon Credentials
#   ## Credentials are loaded in the following order
#   ## 1) Assumed credentials via STS if role_arn is specified
#   ## 2) explicit credentials from 'access_key' and 'secret_key'
#   ## 3) shared profile from 'profile'
#   ## 4) environment variables
#   ## 5) shared credentials file
#   ## 6) EC2 Instance Profile
#   # access_key = &quot;&quot;
#   # secret_key = &quot;&quot;
#   # token = &quot;&quot;
#   # role_arn = &quot;&quot;
#   # profile = &quot;&quot;
#   # shared_credential_file = &quot;&quot;
#
#   ## Endpoint to make request against, the correct endpoint is automatically
#   ## determined and this option should only be set if you wish to override the
#   ## default.
#   ##   ex: endpoint_url = &quot;http://localhost:8000&quot;
#   # endpoint_url = &quot;&quot;
#
#   ## Kinesis StreamName must exist prior to starting telegraf.
#   streamname = &quot;StreamName&quot;
#
#   ## Shard iterator type (only 'TRIM_HORIZON' and 'LATEST' currently supported)
#   # shard_iterator_type = &quot;TRIM_HORIZON&quot;
#
#   ## Maximum messages to read from the broker that have not been written by an
#   ## output.  For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message from the queue contains 10 metrics and the
#   ## output metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = &quot;influx&quot;
#
#   ## Optional
#   ## Configuration for a dynamodb checkpoint
#   [inputs.kinesis_consumer.checkpoint_dynamodb]
# 	## unique name for this consumer
# 	app_name = &quot;default&quot;
# 	table_name = &quot;default&quot;

# # Read metrics off Arista LANZ, via socket
# [[inputs.lanz]]
#   ## URL to Arista LANZ endpoint
#   servers = [
#     &quot;tcp://127.0.0.1:50001&quot;
#   ]

# # Stream and parse log file(s).
# [[inputs.logparser]]
#   ## Log files to parse.
#   ## These accept standard unix glob matching rules, but with the addition of
#   ## ** as a &quot;super asterisk&quot;. ie:
#   ##   /var/log/**.log     -&gt; recursively find all .log files in /var/log
#   ##   /var/log/*/*.log    -&gt; find all .log files with a parent dir in /var/log
#   ##   /var/log/apache.log -&gt; only tail the apache log file
#   files = [&quot;/var/log/apache/access.log&quot;]
#
#   ## Read files that currently exist from the beginning. Files that are created
#   ## while telegraf is running (and that match the &quot;files&quot; globs) will always
#   ## be read from the beginning.
#   from_beginning = false
#
#   ## Method used to watch for file updates.  Can be either &quot;inotify&quot; or &quot;poll&quot;.
#   # watch_method = &quot;inotify&quot;
#
#   ## Parse logstash-style &quot;grok&quot; patterns:
#   [inputs.logparser.grok]
#     ## This is a list of patterns to check the given log file(s) for.
#     ## Note that adding patterns here increases processing time. The most
#     ## efficient configuration is to have one pattern per logparser.
#     ## Other common built-in patterns are:
#     ##   %{COMMON_LOG_FORMAT}   (plain apache &amp; nginx access logs)
#     ##   %{COMBINED_LOG_FORMAT} (access logs + referrer &amp; agent)
#     patterns = [&quot;%{COMBINED_LOG_FORMAT}&quot;]
#
#     ## Name of the outputted measurement name.
#     measurement = &quot;apache_access_log&quot;
#
#     ## Full path(s) to custom pattern files.
#     custom_pattern_files = []
#
#     ## Custom patterns can also be defined here. Put one pattern per line.
#     custom_patterns = '''
#     '''
#
#     ## Timezone allows you to provide an override for timestamps that
#     ## don't already include an offset
#     ## e.g. 04/06/2016 12:41:45 data one two 5.43µs
#     ##
#     ## Default: &quot;&quot; which renders UTC
#     ## Options are as follows:
#     ##   1. Local             -- interpret based on machine localtime
#     ##   2. &quot;Canada/Eastern&quot;  -- Unix TZ values like those found in https://en.wikipedia.org/wiki/List_of_tz_database_time_zones
#     ##   3. UTC               -- or blank/unspecified, will return timestamp in UTC
#     # timezone = &quot;Canada/Eastern&quot;
#
# 	## When set to &quot;disable&quot;, timestamp will not incremented if there is a
# 	## duplicate.
#     # unique_timestamp = &quot;auto&quot;

# # Read metrics from MQTT topic(s)
# [[inputs.mqtt_consumer]]
#   ## Broker URLs for the MQTT server or cluster.  To connect to multiple
#   ## clusters or standalone servers, use a seperate plugin instance.
#   ##   example: servers = [&quot;tcp://localhost:1883&quot;]
#   ##            servers = [&quot;ssl://localhost:1883&quot;]
#   ##            servers = [&quot;ws://localhost:1883&quot;]
#   servers = [&quot;tcp://127.0.0.1:1883&quot;]
#
#   ## Topics that will be subscribed to.
#   topics = [
#     &quot;telegraf/host01/cpu&quot;,
#     &quot;telegraf/+/mem&quot;,
#     &quot;sensors/#&quot;,
#   ]
#
#   ## The message topic will be stored in a tag specified by this value.  If set
#   ## to the empty string no topic tag will be created.
#   # topic_tag = &quot;topic&quot;
#
#   ## QoS policy for messages
#   ##   0 = at most once
#   ##   1 = at least once
#   ##   2 = exactly once
#   ##
#   ## When using a QoS of 1 or 2, you should enable persistent_session to allow
#   ## resuming unacknowledged messages.
#   # qos = 0
#
#   ## Connection timeout for initial connection in seconds
#   # connection_timeout = &quot;30s&quot;
#
#   ## Maximum messages to read from the broker that have not been written by an
#   ## output.  For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message from the queue contains 10 metrics and the
#   ## output metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Persistent session disables clearing of the client session on connection.
#   ## In order for this option to work you must also set client_id to identify
#   ## the client.  To receive messages that arrived while the client is offline,
#   ## also set the qos option to 1 or 2 and don't forget to also set the QoS when
#   ## publishing.
#   # persistent_session = false
#
#   ## If unset, a random client ID will be generated.
#   # client_id = &quot;&quot;
#
#   ## Username and password to connect MQTT server.
#   # username = &quot;telegraf&quot;
#   # password = &quot;metricsmetricsmetricsmetrics&quot;
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = &quot;influx&quot;

# # Read metrics from NATS subject(s)
# [[inputs.nats_consumer]]
#   ## urls of NATS servers
#   servers = [&quot;nats://localhost:4222&quot;]
#
#   ## subject(s) to consume
#   subjects = [&quot;telegraf&quot;]
#
#   ## name a queue group
#   queue_group = &quot;telegraf_consumers&quot;
#
#   ## Optional credentials
#   # username = &quot;&quot;
#   # password = &quot;&quot;
#
#   ## Optional NATS 2.0 and NATS NGS compatible user credentials
#   # credentials = &quot;/etc/telegraf/nats.creds&quot;
#
#   ## Use Transport Layer Security
#   # secure = false
#
#   ## Optional TLS Config
#   # tls_ca = &quot;/etc/telegraf/ca.pem&quot;
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false
#
#   ## Sets the limits for pending msgs and bytes for each subscription
#   ## These shouldn't need to be adjusted except in very high throughput scenarios
#   # pending_message_limit = 65536
#   # pending_bytes_limit = 67108864
#
#   ## Maximum messages to read from the broker that have not been written by an
#   ## output.  For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message from the queue contains 10 metrics and the
#   ## output metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = &quot;influx&quot;

# # Read NSQ topic for metrics.
# [[inputs.nsq_consumer]]
#   ## Server option still works but is deprecated, we just prepend it to the nsqd array.
#   # server = &quot;localhost:4150&quot;
#
#   ## An array representing the NSQD TCP HTTP Endpoints
#   nsqd = [&quot;localhost:4150&quot;]
#
#   ## An array representing the NSQLookupd HTTP Endpoints
#   nsqlookupd = [&quot;localhost:4161&quot;]
#   topic = &quot;telegraf&quot;
#   channel = &quot;consumer&quot;
#   max_in_flight = 100
#
#   ## Maximum messages to read from the broker that have not been written by an
#   ## output.  For best throughput set based on the number of metrics within
#   ## each message and the size of the output's metric_batch_size.
#   ##
#   ## For example, if each message from the queue contains 10 metrics and the
#   ## output metric_batch_size is 1000, setting this to 100 will ensure that a
#   ## full batch is collected and the write is triggered immediately without
#   ## waiting until the next flush_interval.
#   # max_undelivered_messages = 1000
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = &quot;influx&quot;

# # Read metrics from one or many pgbouncer servers
# [[inputs.pgbouncer]]
#   ## specify address via a url matching:
#   ##   postgres://[pqgotest[:password]]@localhost[/dbname]\
#   ##       ?sslmode=[disable|verify-ca|verify-full]
#   ## or a simple string:
#   ##   host=localhost user=pqgotest password=... sslmode=... dbname=app_production
#   ##
#   ## All connection parameters are optional.
#   ##
#   address = &quot;host=localhost user=pgbouncer sslmode=disable&quot;

# # Read metrics from one or many postgresql servers
# [[inputs.postgresql]]
#   ## specify address via a url matching:
#   ##   postgres://[pqgotest[:password]]@localhost[/dbname]\
#   ##       ?sslmode=[disable|verify-ca|verify-full]
#   ## or a simple string:
#   ##   host=localhost user=pqgotest password=... sslmode=... dbname=app_production
#   ##
#   ## All connection parameters are optional.
#   ##
#   ## Without the dbname parameter, the driver will default to a database
#   ## with the same name as the user. This dbname is just for instantiating a
#   ## connection with the server and doesn't restrict the databases we are trying
#   ## to grab metrics for.
#   ##
#   address = &quot;host=localhost user=postgres sslmode=disable&quot;
#   ## A custom name for the database that will be used as the &quot;server&quot; tag in the
#   ## measurement output. If not specified, a default one generated from
#   ## the connection address is used.
#   # outputaddress = &quot;db01&quot;
#
#   ## connection configuration.
#   ## maxlifetime - specify the maximum lifetime of a connection.
#   ## default is forever (0s)
#   max_lifetime = &quot;0s&quot;
#
#   ## A  list of databases to explicitly ignore.  If not specified, metrics for all
#   ## databases are gathered.  Do NOT use with the 'databases' option.
#   # ignored_databases = [&quot;postgres&quot;, &quot;template0&quot;, &quot;template1&quot;]
#
#   ## A list of databases to pull metrics about. If not specified, metrics for all
#   ## databases are gathered.  Do NOT use with the 'ignored_databases' option.
#   # databases = [&quot;app_production&quot;, &quot;testing&quot;]

# # Read metrics from one or many postgresql servers
# [[inputs.postgresql_extensible]]
#   ## specify address via a url matching:
#   ##   postgres://[pqgotest[:password]]@localhost[/dbname]\
#   ##       ?sslmode=[disable|verify-ca|verify-full]
#   ## or a simple string:
#   ##   host=localhost user=pqgotest password=... sslmode=... dbname=app_production
#   #
#   ## All connection parameters are optional.  #
#   ## Without the dbname parameter, the driver will default to a database
#   ## with the same name as the user. This dbname is just for instantiating a
#   ## connection with the server and doesn't restrict the databases we are trying
#   ## to grab metrics for.
#   #
#   address = &quot;host=localhost user=postgres sslmode=disable&quot;
#
#   ## connection configuration.
#   ## maxlifetime - specify the maximum lifetime of a connection.
#   ## default is forever (0s)
#   max_lifetime = &quot;0s&quot;
#
#   ## A list of databases to pull metrics about. If not specified, metrics for all
#   ## databases are gathered.
#   ## databases = [&quot;app_production&quot;, &quot;testing&quot;]
#   #
#   ## A custom name for the database that will be used as the &quot;server&quot; tag in the
#   ## measurement output. If not specified, a default one generated from
#   ## the connection address is used.
#   # outputaddress = &quot;db01&quot;
#   #
#   ## Define the toml config where the sql queries are stored
#   ## New queries can be added, if the withdbname is set to true and there is no
#   ## databases defined in the 'databases field', the sql query is ended by a
#   ## 'is not null' in order to make the query succeed.
#   ## Example :
#   ## The sqlquery : &quot;SELECT * FROM pg_stat_database where datname&quot; become
#   ## &quot;SELECT * FROM pg_stat_database where datname IN ('postgres', 'pgbench')&quot;
#   ## because the databases variable was set to ['postgres', 'pgbench' ] and the
#   ## withdbname was true. Be careful that if the withdbname is set to false you
#   ## don't have to define the where clause (aka with the dbname) the tagvalue
#   ## field is used to define custom tags (separated by commas)
#   ## The optional &quot;measurement&quot; value can be used to override the default
#   ## output measurement name (&quot;postgresql&quot;).
#   ##
#   ## The script option can be used to specify the .sql file path.
#   ## If script and sqlquery options specified at same time, sqlquery will be used
#   ##
#   ## Structure :
#   ## [[inputs.postgresql_extensible.query]]
#   ##   sqlquery string
#   ##   version string
#   ##   withdbname boolean
#   ##   tagvalue string (comma separated)
#   ##   measurement string
#   [[inputs.postgresql_extensible.query]]
#     sqlquery=&quot;SELECT * FROM pg_stat_database&quot;
#     version=901
#     withdbname=false
#     tagvalue=&quot;&quot;
#     measurement=&quot;&quot;
#   [[inputs.postgresql_extensible.query]]
#     sqlquery=&quot;SELECT * FROM pg_stat_bgwriter&quot;
#     version=901
#     withdbname=false
#     tagvalue=&quot;postgresql.stats&quot;

# # Read metrics from one or many prometheus clients
# [[inputs.prometheus]]
#   ## An array of urls to scrape metrics from.
#   urls = [&quot;http://localhost:9100/metrics&quot;]
#
#   ## Metric version controls the mapping from Prometheus metrics into
#   ## Telegraf metrics.  When using the prometheus_client output, use the same
#   ## value in both plugins to ensure metrics are round-tripped without
#   ## modification.
#   ##
#   ##   example: metric_version = 1; deprecated in 1.13
#   ##            metric_version = 2; recommended version
#   # metric_version = 1
#
#   ## Url tag name (tag containing scrapped url. optional, default is &quot;url&quot;)
#   # url_tag = &quot;scrapeUrl&quot;
#
#   ## An array of Kubernetes services to scrape metrics from.
#   # kubernetes_services = [&quot;http://my-service-dns.my-namespace:9100/metrics&quot;]
#
#   ## Kubernetes config file to create client from.
#   # kube_config = &quot;/path/to/kubernetes.config&quot;
#
#   ## Scrape Kubernetes pods for the following prometheus annotations:
#   ## - prometheus.io/scrape: Enable scraping for this pod
#   ## - prometheus.io/scheme: If the metrics endpoint is secured then you will need to
#   ##     set this to 'https' &amp; most likely set the tls config.
#   ## - prometheus.io/path: If the metrics path is not /metrics, define it with this annotation.
#   ## - prometheus.io/port: If port is not 9102 use this annotation
#   # monitor_kubernetes_pods = true
#   ## Restricts Kubernetes monitoring to a single namespace
#   ##   ex: monitor_kubernetes_pods_namespace = &quot;default&quot;
#   # monitor_kubernetes_pods_namespace = &quot;&quot;
#   # label selector to target pods which have the label
#   # kubernetes_label_selector = &quot;env=dev,app=nginx&quot;
#   # field selector to target pods
#   # eg. To scrape pods on a specific node
#   # kubernetes_field_selector = &quot;spec.nodeName=$HOSTNAME&quot;
#
#   ## Use bearer token for authorization. ('bearer_token' takes priority)
#   # bearer_token = &quot;/path/to/bearer/token&quot;
#   ## OR
#   # bearer_token_string = &quot;abc_123&quot;
#
#   ## HTTP Basic Authentication username and password. ('bearer_token' and
#   ## 'bearer_token_string' take priority)
#   # username = &quot;&quot;
#   # password = &quot;&quot;
#
#   ## Specify timeout duration for slower prometheus clients (default is 3s)
#   # response_timeout = &quot;3s&quot;
#
#   ## Optional TLS Config
#   # tls_ca = /path/to/cafile
#   # tls_cert = /path/to/certfile
#   # tls_key = /path/to/keyfile
#   ## Use TLS but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # SFlow V5 Protocol Listener
# [[inputs.sflow]]
#   ## Address to listen for sFlow packets.
#   ##   example: service_address = &quot;udp://:6343&quot;
#   ##            service_address = &quot;udp4://:6343&quot;
#   ##            service_address = &quot;udp6://:6343&quot;
#   service_address = &quot;udp://:6343&quot;
#
#   ## Set the size of the operating system's receive buffer.
#   ##   example: read_buffer_size = &quot;64KiB&quot;
#   # read_buffer_size = &quot;&quot;

# # Receive SNMP traps
# [[inputs.snmp_trap]]
#   ## Transport, local address, and port to listen on.  Transport must
#   ## be &quot;udp://&quot;.  Omit local address to listen on all interfaces.
#   ##   example: &quot;udp://127.0.0.1:1234&quot;
#   ##
#   ## Special permissions may be required to listen on a port less than
#   ## 1024.  See README.md for details
#   ##
#   # service_address = &quot;udp://:162&quot;
#   ## Timeout running snmptranslate command
#   # timeout = &quot;5s&quot;
#   ## Snmp version, defaults to 2c
#   # version = &quot;2c&quot;
#   ## SNMPv3 authentication and encryption options.
#   ##
#   ## Security Name.
#   # sec_name = &quot;myuser&quot;
#   ## Authentication protocol; one of &quot;MD5&quot;, &quot;SHA&quot; or &quot;&quot;.
#   # auth_protocol = &quot;MD5&quot;
#   ## Authentication password.
#   # auth_password = &quot;pass&quot;
#   ## Security Level; one of &quot;noAuthNoPriv&quot;, &quot;authNoPriv&quot;, or &quot;authPriv&quot;.
#   # sec_level = &quot;authNoPriv&quot;
#   ## Privacy protocol used for encrypted messages; one of &quot;DES&quot;, &quot;AES&quot;, &quot;AES192&quot;, &quot;AES192C&quot;, &quot;AES256&quot;, &quot;AES256C&quot; or &quot;&quot;.
#   # priv_protocol = &quot;&quot;
#   ## Privacy password used for encrypted messages.
#   # priv_password = &quot;&quot;

# # Generic socket listener capable of handling multiple socket types.
# [[inputs.socket_listener]]
#   ## URL to listen on
#   # service_address = &quot;tcp://:8094&quot;
#   # service_address = &quot;tcp://127.0.0.1:http&quot;
#   # service_address = &quot;tcp4://:8094&quot;
#   # service_address = &quot;tcp6://:8094&quot;
#   # service_address = &quot;tcp6://[2001:db8::1]:8094&quot;
#   # service_address = &quot;udp://:8094&quot;
#   # service_address = &quot;udp4://:8094&quot;
#   # service_address = &quot;udp6://:8094&quot;
#   # service_address = &quot;unix:///tmp/telegraf.sock&quot;
#   # service_address = &quot;unixgram:///tmp/telegraf.sock&quot;
#
#   ## Change the file mode bits on unix sockets.  These permissions may not be
#   ## respected by some platforms, to safely restrict write permissions it is best
#   ## to place the socket into a directory that has previously been created
#   ## with the desired permissions.
#   ##   ex: socket_mode = &quot;777&quot;
#   # socket_mode = &quot;&quot;
#
#   ## Maximum number of concurrent connections.
#   ## Only applies to stream sockets (e.g. TCP).
#   ## 0 (default) is unlimited.
#   # max_connections = 1024
#
#   ## Read timeout.
#   ## Only applies to stream sockets (e.g. TCP).
#   ## 0 (default) is unlimited.
#   # read_timeout = &quot;30s&quot;
#
#   ## Optional TLS configuration.
#   ## Only applies to stream sockets (e.g. TCP).
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key  = &quot;/etc/telegraf/key.pem&quot;
#   ## Enables client authentication if set.
#   # tls_allowed_cacerts = [&quot;/etc/telegraf/clientca.pem&quot;]
#
#   ## Maximum socket buffer size (in bytes when no unit specified).
#   ## For stream sockets, once the buffer fills up, the sender will start backing up.
#   ## For datagram sockets, once the buffer fills up, metrics will start dropping.
#   ## Defaults to the OS default.
#   # read_buffer_size = &quot;64KiB&quot;
#
#   ## Period between keep alive probes.
#   ## Only applies to TCP sockets.
#   ## 0 disables keep alive probes.
#   ## Defaults to the OS configuration.
#   # keep_alive_period = &quot;5m&quot;
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   # data_format = &quot;influx&quot;
#
#   ## Content encoding for message payloads, can be set to &quot;gzip&quot; to or
#   ## &quot;identity&quot; to apply no encoding.
#   # content_encoding = &quot;identity&quot;

# # Statsd UDP/TCP Server
# [[inputs.statsd]]
#   ## Protocol, must be &quot;tcp&quot;, &quot;udp&quot;, &quot;udp4&quot; or &quot;udp6&quot; (default=udp)
#   protocol = &quot;udp&quot;
#
#   ## MaxTCPConnection - applicable when protocol is set to tcp (default=250)
#   max_tcp_connections = 250
#
#   ## Enable TCP keep alive probes (default=false)
#   tcp_keep_alive = false
#
#   ## Specifies the keep-alive period for an active network connection.
#   ## Only applies to TCP sockets and will be ignored if tcp_keep_alive is false.
#   ## Defaults to the OS configuration.
#   # tcp_keep_alive_period = &quot;2h&quot;
#
#   ## Address and port to host UDP listener on
#   service_address = &quot;:8125&quot;
#
#   ## The following configuration options control when telegraf clears it's cache
#   ## of previous values. If set to false, then telegraf will only clear it's
#   ## cache when the daemon is restarted.
#   ## Reset gauges every interval (default=true)
#   delete_gauges = true
#   ## Reset counters every interval (default=true)
#   delete_counters = true
#   ## Reset sets every interval (default=true)
#   delete_sets = true
#   ## Reset timings &amp; histograms every interval (default=true)
#   delete_timings = true
#
#   ## Percentiles to calculate for timing &amp; histogram stats
#   percentiles = [50.0, 90.0, 99.0, 99.9, 99.95, 100.0]
#
#   ## separator to use between elements of a statsd metric
#   metric_separator = &quot;_&quot;
#
#   ## Parses tags in the datadog statsd format
#   ## http://docs.datadoghq.com/guides/dogstatsd/
#   parse_data_dog_tags = false
#
#   ## Parses datadog extensions to the statsd format
#   datadog_extensions = false
#
#   ## Statsd data translation templates, more info can be read here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/TEMPLATE_PATTERN.md
#   # templates = [
#   #     &quot;cpu.* measurement*&quot;
#   # ]
#
#   ## Number of UDP messages allowed to queue up, once filled,
#   ## the statsd server will start dropping packets
#   allowed_pending_messages = 10000
#
#   ## Number of timing/histogram values to track per-measurement in the
#   ## calculation of percentiles. Raising this limit increases the accuracy
#   ## of percentiles but also increases the memory usage and cpu time.
#   percentile_limit = 1000

# # Suricata stats plugin
# [[inputs.suricata]]
#   ## Data sink for Suricata stats log
#   # This is expected to be a filename of a
#   # unix socket to be created for listening.
#   source = &quot;/var/run/suricata-stats.sock&quot;
#
#   # Delimiter for flattening field keys, e.g. subitem &quot;alert&quot; of &quot;detect&quot;
#   # becomes &quot;detect_alert&quot; when delimiter is &quot;_&quot;.
#   delimiter = &quot;_&quot;

# # Accepts syslog messages following RFC5424 format with transports as per RFC5426, RFC5425, or RFC6587
# [[inputs.syslog]]
#   ## Specify an ip or hostname with port - eg., tcp://localhost:6514, tcp://10.0.0.1:6514
#   ## Protocol, address and port to host the syslog receiver.
#   ## If no host is specified, then localhost is used.
#   ## If no port is specified, 6514 is used (RFC5425#section-4.1).
#   server = &quot;tcp://:6514&quot;
#
#   ## TLS Config
#   # tls_allowed_cacerts = [&quot;/etc/telegraf/ca.pem&quot;]
#   # tls_cert = &quot;/etc/telegraf/cert.pem&quot;
#   # tls_key = &quot;/etc/telegraf/key.pem&quot;
#
#   ## Period between keep alive probes.
#   ## 0 disables keep alive probes.
#   ## Defaults to the OS configuration.
#   ## Only applies to stream sockets (e.g. TCP).
#   # keep_alive_period = &quot;5m&quot;
#
#   ## Maximum number of concurrent connections (default = 0).
#   ## 0 means unlimited.
#   ## Only applies to stream sockets (e.g. TCP).
#   # max_connections = 1024
#
#   ## Read timeout is the maximum time allowed for reading a single message (default = 5s).
#   ## 0 means unlimited.
#   # read_timeout = &quot;5s&quot;
#
#   ## The framing technique with which it is expected that messages are transported (default = &quot;octet-counting&quot;).
#   ## Whether the messages come using the octect-counting (RFC5425#section-4.3.1, RFC6587#section-3.4.1),
#   ## or the non-transparent framing technique (RFC6587#section-3.4.2).
#   ## Must be one of &quot;octet-counting&quot;, &quot;non-transparent&quot;.
#   # framing = &quot;octet-counting&quot;
#
#   ## The trailer to be expected in case of non-transparent framing (default = &quot;LF&quot;).
#   ## Must be one of &quot;LF&quot;, or &quot;NUL&quot;.
#   # trailer = &quot;LF&quot;
#
#   ## Whether to parse in best effort mode or not (default = false).
#   ## By default best effort parsing is off.
#   # best_effort = false
#
#   ## Character to prepend to SD-PARAMs (default = &quot;_&quot;).
#   ## A syslog message can contain multiple parameters and multiple identifiers within structured data section.
#   ## Eg., [id1 name1=&quot;val1&quot; name2=&quot;val2&quot;][id2 name1=&quot;val1&quot; nameA=&quot;valA&quot;]
#   ## For each combination a field is created.
#   ## Its name is created concatenating identifier, sdparam_separator, and parameter name.
#   # sdparam_separator = &quot;_&quot;

# # Parse the new lines appended to a file
# [[inputs.tail]]
#   ## File names or a pattern to tail.
#   ## These accept standard unix glob matching rules, but with the addition of
#   ## ** as a &quot;super asterisk&quot;. ie:
#   ##   &quot;/var/log/**.log&quot;  -&gt; recursively find all .log files in /var/log
#   ##   &quot;/var/log/*/*.log&quot; -&gt; find all .log files with a parent dir in /var/log
#   ##   &quot;/var/log/apache.log&quot; -&gt; just tail the apache log file
#   ##
#   ## See https://github.com/gobwas/glob for more examples
#   ##
#   files = [&quot;/var/mymetrics.out&quot;]
#
#   ## Read file from beginning.
#   # from_beginning = false
#
#   ## Whether file is a named pipe
#   # pipe = false
#
#   ## Method used to watch for file updates.  Can be either &quot;inotify&quot; or &quot;poll&quot;.
#   # watch_method = &quot;inotify&quot;
#
#   ## Maximum lines of the file to process that have not yet be written by the
#   ## output.  For best throughput set based on the number of metrics on each
#   ## line and the size of the output's metric_batch_size.
#   # max_undelivered_lines = 1000
#
#   ## Character encoding to use when interpreting the file contents.  Invalid
#   ## characters are replaced using the unicode replacement character.  When set
#   ## to the empty string the data is not decoded to text.
#   ##   ex: character_encoding = &quot;utf-8&quot;
#   ##       character_encoding = &quot;utf-16le&quot;
#   ##       character_encoding = &quot;utf-16be&quot;
#   ##       character_encoding = &quot;&quot;
#   # character_encoding = &quot;&quot;
#
#   ## Data format to consume.
#   ## Each data format has its own unique set of configuration options, read
#   ## more about them here:
#   ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
#   data_format = &quot;influx&quot;
#
#   ## multiline parser/codec
#   ## https://www.elastic.co/guide/en/logstash/2.4/plugins-filters-multiline.html
#   #[inputs.tail.multiline]
#     ## The pattern should be a regexp which matches what you believe to be an
# 	## indicator that the field is part of an event consisting of multiple lines of log data.
#     #pattern = &quot;^\s&quot;
#
#     ## This field must be either &quot;previous&quot; or &quot;next&quot;.
# 	## If a line matches the pattern, &quot;previous&quot; indicates that it belongs to the previous line,
# 	## whereas &quot;next&quot; indicates that the line belongs to the next one.
#     #match_which_line = &quot;previous&quot;
#
#     ## The invert_match field can be true or false (defaults to false).
#     ## If true, a message not matching the pattern will constitute a match of the multiline
# 	## filter and the what will be applied. (vice-versa is also true)
#     #invert_match = false
#
#     ## After the specified timeout, this plugin sends a multiline event even if no new pattern
# 	## is found to start a new event. The default timeout is 5s.
#     #timeout = 5s

# # Generic TCP listener
# [[inputs.tcp_listener]]
#   # DEPRECATED: the TCP listener plugin has been deprecated in favor of the
#   # socket_listener plugin
#   # see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/socket_listener

# # Generic UDP listener
# [[inputs.udp_listener]]
#   # DEPRECATED: the TCP listener plugin has been deprecated in favor of the
#   # socket_listener plugin
#   # see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/socket_listener

# # Read metrics from VMware vCenter
# [[inputs.vsphere]]
#   ## List of vCenter URLs to be monitored. These three lines must be uncommented
#   ## and edited for the plugin to work.
#   vcenters = [ &quot;https://vcenter.local/sdk&quot; ]
#   username = &quot;user@corp.local&quot;
#   password = &quot;secret&quot;
#
#   ## VMs
#   ## Typical VM metrics (if omitted or empty, all metrics are collected)
#   # vm_include = [ &quot;/*/vm/**&quot;] # Inventory path to VMs to collect (by default all are collected)
#   # vm_exclude = [] # Inventory paths to exclude
#   vm_metric_include = [
#     &quot;cpu.demand.average&quot;,
#     &quot;cpu.idle.summation&quot;,
#     &quot;cpu.latency.average&quot;,
#     &quot;cpu.readiness.average&quot;,
#     &quot;cpu.ready.summation&quot;,
#     &quot;cpu.run.summation&quot;,
#     &quot;cpu.usagemhz.average&quot;,
#     &quot;cpu.used.summation&quot;,
#     &quot;cpu.wait.summation&quot;,
#     &quot;mem.active.average&quot;,
#     &quot;mem.granted.average&quot;,
#     &quot;mem.latency.average&quot;,
#     &quot;mem.swapin.average&quot;,
#     &quot;mem.swapinRate.average&quot;,
#     &quot;mem.swapout.average&quot;,
#     &quot;mem.swapoutRate.average&quot;,
#     &quot;mem.usage.average&quot;,
#     &quot;mem.vmmemctl.average&quot;,
#     &quot;net.bytesRx.average&quot;,
#     &quot;net.bytesTx.average&quot;,
#     &quot;net.droppedRx.summation&quot;,
#     &quot;net.droppedTx.summation&quot;,
#     &quot;net.usage.average&quot;,
#     &quot;power.power.average&quot;,
#     &quot;virtualDisk.numberReadAveraged.average&quot;,
#     &quot;virtualDisk.numberWriteAveraged.average&quot;,
#     &quot;virtualDisk.read.average&quot;,
#     &quot;virtualDisk.readOIO.latest&quot;,
#     &quot;virtualDisk.throughput.usage.average&quot;,
#     &quot;virtualDisk.totalReadLatency.average&quot;,
#     &quot;virtualDisk.totalWriteLatency.average&quot;,
#     &quot;virtualDisk.write.average&quot;,
#     &quot;virtualDisk.writeOIO.latest&quot;,
#     &quot;sys.uptime.latest&quot;,
#   ]
#   # vm_metric_exclude = [] ## Nothing is excluded by default
#   # vm_instances = true ## true by default
#
#   ## Hosts
#   ## Typical host metrics (if omitted or empty, all metrics are collected)
#   # host_include = [ &quot;/*/host/**&quot;] # Inventory path to hosts to collect (by default all are collected)
#   # host_exclude [] # Inventory paths to exclude
#   host_metric_include = [
#     &quot;cpu.coreUtilization.average&quot;,
#     &quot;cpu.costop.summation&quot;,
#     &quot;cpu.demand.average&quot;,
#     &quot;cpu.idle.summation&quot;,
#     &quot;cpu.latency.average&quot;,
#     &quot;cpu.readiness.average&quot;,
#     &quot;cpu.ready.summation&quot;,
#     &quot;cpu.swapwait.summation&quot;,
#     &quot;cpu.usage.average&quot;,
#     &quot;cpu.usagemhz.average&quot;,
#     &quot;cpu.used.summation&quot;,
#     &quot;cpu.utilization.average&quot;,
#     &quot;cpu.wait.summation&quot;,
#     &quot;disk.deviceReadLatency.average&quot;,
#     &quot;disk.deviceWriteLatency.average&quot;,
#     &quot;disk.kernelReadLatency.average&quot;,
#     &quot;disk.kernelWriteLatency.average&quot;,
#     &quot;disk.numberReadAveraged.average&quot;,
#     &quot;disk.numberWriteAveraged.average&quot;,
#     &quot;disk.read.average&quot;,
#     &quot;disk.totalReadLatency.average&quot;,
#     &quot;disk.totalWriteLatency.average&quot;,
#     &quot;disk.write.average&quot;,
#     &quot;mem.active.average&quot;,
#     &quot;mem.latency.average&quot;,
#     &quot;mem.state.latest&quot;,
#     &quot;mem.swapin.average&quot;,
#     &quot;mem.swapinRate.average&quot;,
#     &quot;mem.swapout.average&quot;,
#     &quot;mem.swapoutRate.average&quot;,
#     &quot;mem.totalCapacity.average&quot;,
#     &quot;mem.usage.average&quot;,
#     &quot;mem.vmmemctl.average&quot;,
#     &quot;net.bytesRx.average&quot;,
#     &quot;net.bytesTx.average&quot;,
#     &quot;net.droppedRx.summation&quot;,
#     &quot;net.droppedTx.summation&quot;,
#     &quot;net.errorsRx.summation&quot;,
#     &quot;net.errorsTx.summation&quot;,
#     &quot;net.usage.average&quot;,
#     &quot;power.power.average&quot;,
#     &quot;storageAdapter.numberReadAveraged.average&quot;,
#     &quot;storageAdapter.numberWriteAveraged.average&quot;,
#     &quot;storageAdapter.read.average&quot;,
#     &quot;storageAdapter.write.average&quot;,
#     &quot;sys.uptime.latest&quot;,
#   ]
#     ## Collect IP addresses? Valid values are &quot;ipv4&quot; and &quot;ipv6&quot;
#   # ip_addresses = [&quot;ipv6&quot;, &quot;ipv4&quot; ]
#
#   # host_metric_exclude = [] ## Nothing excluded by default
#   # host_instances = true ## true by default
#
#
#   ## Clusters
#   # cluster_include = [ &quot;/*/host/**&quot;] # Inventory path to clusters to collect (by default all are collected)
#   # cluster_exclude = [] # Inventory paths to exclude
#   # cluster_metric_include = [] ## if omitted or empty, all metrics are collected
#   # cluster_metric_exclude = [] ## Nothing excluded by default
#   # cluster_instances = false ## false by default
#
#   ## Datastores
#   # datastore_include = [ &quot;/*/datastore/**&quot;] # Inventory path to datastores to collect (by default all are collected)
#   # datastore_exclude = [] # Inventory paths to exclude
#   # datastore_metric_include = [] ## if omitted or empty, all metrics are collected
#   # datastore_metric_exclude = [] ## Nothing excluded by default
#   # datastore_instances = false ## false by default
#
#   ## Datacenters
#   # datacenter_include = [ &quot;/*/host/**&quot;] # Inventory path to clusters to collect (by default all are collected)
#   # datacenter_exclude = [] # Inventory paths to exclude
#   datacenter_metric_include = [] ## if omitted or empty, all metrics are collected
#   datacenter_metric_exclude = [ &quot;*&quot; ] ## Datacenters are not collected by default.
#   # datacenter_instances = false ## false by default
#
#   ## Plugin Settings
#   ## separator character to use for measurement and field names (default: &quot;_&quot;)
#   # separator = &quot;_&quot;
#
#   ## number of objects to retrieve per query for realtime resources (vms and hosts)
#   ## set to 64 for vCenter 5.5 and 6.0 (default: 256)
#   # max_query_objects = 256
#
#   ## number of metrics to retrieve per query for non-realtime resources (clusters and datastores)
#   ## set to 64 for vCenter 5.5 and 6.0 (default: 256)
#   # max_query_metrics = 256
#
#   ## number of go routines to use for collection and discovery of objects and metrics
#   # collect_concurrency = 1
#   # discover_concurrency = 1
#
#   ## the interval before (re)discovering objects subject to metrics collection (default: 300s)
#   # object_discovery_interval = &quot;300s&quot;
#
#   ## timeout applies to any of the api request made to vcenter
#   # timeout = &quot;60s&quot;
#
#   ## When set to true, all samples are sent as integers. This makes the output
#   ## data types backwards compatible with Telegraf 1.9 or lower. Normally all
#   ## samples from vCenter, with the exception of percentages, are integer
#   ## values, but under some conditions, some averaging takes place internally in
#   ## the plugin. Setting this flag to &quot;false&quot; will send values as floats to
#   ## preserve the full precision when averaging takes place.
#   # use_int_samples = true
#
#   ## Custom attributes from vCenter can be very useful for queries in order to slice the
#   ## metrics along different dimension and for forming ad-hoc relationships. They are disabled
#   ## by default, since they can add a considerable amount of tags to the resulting metrics. To
#   ## enable, simply set custom_attribute_exclude to [] (empty set) and use custom_attribute_include
#   ## to select the attributes you want to include.
#   ## By default, since they can add a considerable amount of tags to the resulting metrics. To
#   ## enable, simply set custom_attribute_exclude to [] (empty set) and use custom_attribute_include
#   ## to select the attributes you want to include.
#   # custom_attribute_include = []
#   # custom_attribute_exclude = [&quot;*&quot;]
#
#   ## Optional SSL Config
#   # ssl_ca = &quot;/path/to/cafile&quot;
#   # ssl_cert = &quot;/path/to/certfile&quot;
#   # ssl_key = &quot;/path/to/keyfile&quot;
#   ## Use SSL but skip chain &amp; host verification
#   # insecure_skip_verify = false

# # A Webhooks Event collector
# [[inputs.webhooks]]
#   ## Address and port to host Webhook listener on
#   service_address = &quot;:1619&quot;
#
#   [inputs.webhooks.filestack]
#     path = &quot;/filestack&quot;
#
#   [inputs.webhooks.github]
#     path = &quot;/github&quot;
#     # secret = &quot;&quot;
#
#   [inputs.webhooks.mandrill]
#     path = &quot;/mandrill&quot;
#
#   [inputs.webhooks.rollbar]
#     path = &quot;/rollbar&quot;
#
#   [inputs.webhooks.papertrail]
#     path = &quot;/papertrail&quot;
#
#   [inputs.webhooks.particle]
#     path = &quot;/particle&quot;

# # This plugin implements the Zipkin http server to gather trace and timing data needed to troubleshoot latency problems in microservice architectures.
# [[inputs.zipkin]]
#   # path = &quot;/api/v1/spans&quot; # URL path for span data
#   # port = 9411            # Port on which Telegraf listens

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