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Telegraf Agent Setup for Windows Server

December 29, 2021 Leave a Comment

Step 1 – Download Agent in Windows

  • https://portal.influxdata.com/downloads/
wget https://dl.influxdata.com/telegraf/releases/telegraf-1.21.1_windows_amd64.zip -UseBasicParsing -OutFile telegraf-1.21.1_windows_amd64.zip
Expand-Archive .\telegraf-1.21.1_windows_amd64.zip -DestinationPath 'C:\Program Files\InfluxData\telegraf'

Step 2 – Configuring Telegraf

PS> mkdir 'C:\Program Files\telegraf\conf'
PS> cd 'C:\Program Files\telegraf\conf'
# Create inputs.conf
# Create output.conf

Detailed

https://docs.influxdata.com/influxdb/v2.1/write-data/no-code/use-telegraf/

###############################################################################
# INPUTS #
###############################################################################
[[inputs.win_perf_counters]]
[[inputs.win_perf_counters.object]]
# Processor usage, alternative to native, reports on a per core.
ObjectName = "Processor"
Instances = ["*"]
Counters = [
"% Idle Time",
"% Interrupt Time",
"% Privileged Time",
"% User Time",
"% Processor Time"
]
Measurement = "win_cpu"
# Set to true to include _Total instance when querying for all (*).
#IncludeTotal=false
[[inputs.win_perf_counters.object]]
# Disk times and queues
ObjectName = "LogicalDisk"
Instances = ["*"]
Counters = [
"% Idle Time",
"% Disk Time",
"% Disk Read Time",
"% Disk Write Time",
"% User Time",
"% Free Space",
"Current Disk Queue Length",
"Free Megabytes",
"Disk Read Bytes/sec",
"Disk Write Bytes/sec"
]
Measurement = "win_disk"
# Set to true to include _Total instance when querying for all (*).
#IncludeTotal=false
[[inputs.win_perf_counters.object]]
ObjectName = "System"
Counters = [
"Context Switches/sec",
"System Calls/sec",
"Processor Queue Length",
"Threads",
"System Up Time",
"Processes"
]
Instances = ["------"]
Measurement = "win_system"
# Set to true to include _Total instance when querying for all (*).
#IncludeTotal=false
[[inputs.win_perf_counters.object]]
# Example query where the Instance portion must be removed to get data back,
# such as from the Memory object.
ObjectName = "Memory"
Counters = [
"Available Bytes",
"Cache Faults/sec",
"Demand Zero Faults/sec",
"Page Faults/sec",
"Pages/sec",
"Transition Faults/sec",
"Pool Nonpaged Bytes",
"Pool Paged Bytes"
]
# Use 6 x - to remove the Instance bit from the query.
Instances = ["------"]
Measurement = "win_mem"
# Set to true to include _Total instance when querying for all (*).
#IncludeTotal=false
[[inputs.win_perf_counters.object]]
# more counters for the Network Interface Object can be found at
# https://msdn.microsoft.com/en-us/library/ms803962.aspx
ObjectName = "Network Interface"
Counters = [
"Bytes Received/sec",
"Bytes Sent/sec",
"Packets Received/sec",
"Packets Sent/sec"
]
Instances = ["*"] # Use 6 x - to remove the Instance bit from the query.
Measurement = "win_net"
#IncludeTotal=false #Set to true to include _Total instance when querying for all (*).
[[inputs.win_perf_counters.object]]
# Process metrics
ObjectName = "Process"
Counters = [
"% Processor Time",
"Handle Count",
"Private Bytes",
"Thread Count",
"Virtual Bytes",
"Working Set"
]
Instances = ["*"]
Measurement = "win_proc"
#IncludeTotal=false #Set to true to include _Total instance when querying for all (*).
view raw input.conf hosted with ❤ by GitHub
[[outputs.influxdb_v2]]
# URL to InfluxDB cloud or your own instance of InfluxDB 2.0
urls = ["http://3.108.53.247:8086/"]
## Token for authentication.
token = ""
## Organization is the name of the organization you wish to write to; must exist.
organization = ""
bucket = ""
view raw output.conf hosted with ❤ by GitHub

Step 3 – Start Telegraf

PS> telegraf --service install --config-directory 'C:\Program Files\telegraf\conf'

Example of Telegraf.conf

# 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 = "10s"
## 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 = "0s"
## Default flushing interval for all outputs. Maximum flush_interval will be
## flush_interval + flush_jitter
flush_interval = "10s"
## 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 = false
## 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 = ""
## 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
## Pick a timezone to use when logging or type 'local' for local time.
## Example: America/Chicago
# log_with_timezone = ""
## 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 #
###############################################################################
[[outputs.influxdb_v2]]
# URL to InfluxDB cloud or your own instance of InfluxDB 2.0
urls = ["http://3.108.53.247:8086/"]
## Token for authentication.
token = "vXgAw-W7thWefOmR63ljt9ey_oYYNgsEW4BTLVHkGxf8cYWv_skD7obVKJ3eIsVSOVLsqaH17zX2w7IClL4yow=="
## Organization is the name of the organization you wish to write to; must exist.
organization = "devopsschool"
bucket = "demo"
# 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"
# # Sends metrics to Azure Data Explorer
# [[outputs.azure_data_explorer]]
# ## Azure Data Explorer cluster endpoint
# ## ex: endpoint_url = "https://clustername.australiasoutheast.kusto.windows.net"
# endpoint_url = ""
#
# ## The Azure Data Explorer database that the metrics will be ingested into.
# ## The plugin will NOT generate this database automatically, it's expected that this database already exists before ingestion.
# ## ex: "exampledatabase"
# database = ""
#
# ## Timeout for Azure Data Explorer operations
# # timeout = "20s"
#
# ## Type of metrics grouping used when pushing to Azure Data Explorer.
# ## Default is "TablePerMetric" for one table per different metric.
# ## For more information, please check the plugin README.
# # metrics_grouping_type = "TablePerMetric"
#
# ## Name of the single table to store all the metrics (Only needed if metrics_grouping_type is "SingleTable").
# # table_name = ""
#
# ## Creates tables and relevant mapping if set to true(default).
# ## Skips table and mapping creation if set to false, this is useful for running Telegraf with the lowest possible permissions i.e. table ingestor role.
# # create_tables = true
# # 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"
# # Configuration for Google Cloud BigQuery to send entries
# [[outputs.bigquery]]
# ## Credentials File
# credentials_file = "/path/to/service/account/key.json"
#
# ## Google Cloud Platform Project
# project = "my-gcp-project"
#
# ## The namespace for the metric descriptor
# dataset = "telegraf"
#
# ## Timeout for BigQuery operations.
# # timeout = "5s"
#
# ## Character to replace hyphens on Metric name
# # replace_hyphen_to = "_"
# # 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) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
# ## 2) Assumed credentials via STS if role_arn is specified
# ## 3) explicit credentials from 'access_key' and 'secret_key'
# ## 4) shared profile from 'profile'
# ## 5) environment variables
# ## 6) shared credentials file
# ## 7) EC2 Instance Profile
# #access_key = ""
# #secret_key = ""
# #token = ""
# #role_arn = ""
# #web_identity_token_file = ""
# #role_session_name = ""
# #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 AWS CloudWatchLogs output.
# [[outputs.cloudwatch_logs]]
# ## The region is the Amazon region that you wish to connect to.
# ## Examples include but are not limited to:
# ## - us-west-1
# ## - us-west-2
# ## - us-east-1
# ## - ap-southeast-1
# ## - ap-southeast-2
# ## ...
# region = "us-east-1"
#
# ## Amazon Credentials
# ## Credentials are loaded in the following order
# ## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
# ## 2) Assumed credentials via STS if role_arn is specified
# ## 3) explicit credentials from 'access_key' and 'secret_key'
# ## 4) shared profile from 'profile'
# ## 5) environment variables
# ## 6) shared credentials file
# ## 7) EC2 Instance Profile
# #access_key = ""
# #secret_key = ""
# #token = ""
# #role_arn = ""
# #web_identity_token_file = ""
# #role_session_name = ""
# #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 = ""
#
# ## Cloud watch log group. Must be created in AWS cloudwatch logs upfront!
# ## For example, you can specify the name of the k8s cluster here to group logs from all cluster in oine place
# log_group = "my-group-name"
#
# ## Log stream in log group
# ## Either log group name or reference to metric attribute, from which it can be parsed:
# ## tag:<TAG_NAME> or field:<FIELD_NAME>. If log stream is not exist, it will be created.
# ## Since AWS is not automatically delete logs streams with expired logs entries (i.e. empty log stream)
# ## you need to put in place appropriate house-keeping (https://forums.aws.amazon.com/thread.jspa?threadID=178855)
# log_stream = "tag:location"
#
# ## Source of log data - metric name
# ## specify the name of the metric, from which the log data should be retrieved.
# ## I.e., if you are using docker_log plugin to stream logs from container, then
# ## specify log_data_metric_name = "docker_log"
# log_data_metric_name = "docker_log"
#
# ## Specify from which metric attribute the log data should be retrieved:
# ## tag:<TAG_NAME> or field:<FIELD_NAME>.
# ## I.e., if you are using docker_log plugin to stream logs from container, then
# ## specify log_data_source = "field:message"
# log_data_source = "field:message"
# # Configuration for CrateDB to send metrics to.
# [[outputs.cratedb]]
# # A github.com/jackc/pgx/v4 connection string.
# # See https://pkg.go.dev/github.com/jackc/pgx/v4#ParseConfig
# 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
# # The character(s) to replace any '.' in an object key with
# key_separator = "_"
# # 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"
#
# ## Set http_proxy (telegraf uses the system wide proxy settings if it isn't set)
# # http_proxy_url = "http://localhost:8888"
# # 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"
#
# ## If you want metrics to be treated and reported as delta counters, add the metric names here
# additional_counters = [ ]
#
# ## Optional dimensions to be added to every metric
# # [outputs.dynatrace.default_dimensions]
# # default_key = "default value"
# # 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 to true to enable gzip compression
# enable_gzip = 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
#
# ## Specifies the handling of NaN and Inf values.
# ## This option can have the following values:
# ## none -- do not modify field-values (default); will produce an error if NaNs or infs are encountered
# ## drop -- drop fields containing NaNs or infs
# ## replace -- replace with the value in "float_replacement_value" (default: 0.0)
# ## NaNs and inf will be replaced with the given number, -inf with the negative of that number
# # float_handling = "none"
# # float_replacement_value = 0.0
# # Configuration for Event Hubs output plugin
# [[outputs.event_hubs]]
# ## The full connection string to the Event Hub (required)
# ## The shared access key must have "Send" permissions on the target Event Hub.
# connection_string = "Endpoint=sb://namespace.servicebus.windows.net/;SharedAccessKeyName=RootManageSharedAccessKey;SharedAccessKey=superSecret1234=;EntityPath=hubName"
#
# ## Client timeout (defaults to 30s)
# # timeout = "30s"
#
# ## 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 = "json"
# # 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
#
# ## Define how metric names and tags are sanitized; options are "strict", or "compatible"
# ## strict - Default method, and backwards compatible with previous versionf of Telegraf
# ## compatible - More relaxed sanitizing when using tags, and compatible with the graphite spec
# # graphite_tag_sanitize_mode = "strict"
#
# ## 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]]
# ## Endpoints for your graylog instances.
# servers = ["udp://127.0.0.1:12201"]
#
# ## Connection timeout.
# # timeout = "5s"
#
# ## 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 = ""
#
# ## According to GELF payload specification, additional fields names must be prefixed
# ## with an underscore. Previous versions did not prefix custom field 'name' with underscore.
# ## Set to true for backward compatibility.
# # name_field_no_prefix = 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
# # Send telegraf metrics to GroundWork Monitor
# [[outputs.groundwork]]
# ## URL of your groundwork instance.
# url = "https://groundwork.example.com"
#
# ## Agent uuid for GroundWork API Server.
# agent_id = ""
#
# ## Username and password to access GroundWork API.
# username = ""
# password = ""
#
# ## Default display name for the host with services(metrics).
# # default_host = "telegraf"
#
# ## Default service state.
# # default_service_state = "SERVICE_OK"
#
# ## The name of the tag that contains the hostname.
# # resource_tag = "host"
# # 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$$word"
#
# ## OAuth2 Client Credentials Grant
# # client_id = "clientid"
# # client_secret = "secret"
# # token_url = "https://indentityprovider/oauth2/v1/token"
# # scopes = ["urn:opc:idm:__myscopes__"]
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = false
#
# ## Optional Cookie authentication
# # cookie_auth_url = "https://localhost/authMe"
# # cookie_auth_method = "POST"
# # cookie_auth_username = "username"
# # cookie_auth_password = "pa$$word"
# # cookie_auth_body = '{"username": "user", "password": "pa$$word", "authenticate": "me"}'
# ## cookie_auth_renewal not set or set to "0" will auth once and never renew the cookie
# # cookie_auth_renewal = "5m"
#
# ## 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"
#
# ## Use batch serialization format (default) instead of line based format.
# ## Batch format is more efficient and should be used unless line based
# ## format is really needed.
# # use_batch_format = true
#
# ## 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"
#
# ## Idle (keep-alive) connection timeout.
# ## Maximum amount of time before idle connection is closed.
# ## Zero means no limit.
# # idle_conn_timeout = 0
# # 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 = ""
#
# ## Compression codec represents the various compression codecs recognized by
# ## Kafka in messages.
# ## 0 : None
# ## 1 : Gzip
# ## 2 : Snappy
# ## 3 : LZ4
# ## 4 : ZSTD
# # compression_codec = 0
#
# ## Idempotent Writes
# ## If enabled, exactly one copy of each message is written.
# # idempotent_writes = false
#
# ## 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
# # 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"
#
# ## Optional SASL:
# ## one of: OAUTHBEARER, PLAIN, SCRAM-SHA-256, SCRAM-SHA-512, GSSAPI
# ## (defaults to PLAIN)
# # sasl_mechanism = ""
#
# ## used if sasl_mechanism is GSSAPI (experimental)
# # sasl_gssapi_service_name = ""
# # ## One of: KRB5_USER_AUTH and KRB5_KEYTAB_AUTH
# # sasl_gssapi_auth_type = "KRB5_USER_AUTH"
# # sasl_gssapi_kerberos_config_path = "/"
# # sasl_gssapi_realm = "realm"
# # sasl_gssapi_key_tab_path = ""
# # sasl_gssapi_disable_pafxfast = false
#
# ## used if sasl_mechanism is OAUTHBEARER (experimental)
# # sasl_access_token = ""
#
# ## SASL protocol version. When connecting to Azure EventHub set to 0.
# # sasl_version = 1
#
# # Disable Kafka metadata full fetch
# # metadata_full = 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"
# # 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) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
# ## 2) Assumed credentials via STS if role_arn is specified
# ## 3) explicit credentials from 'access_key' and 'secret_key'
# ## 4) shared profile from 'profile'
# ## 5) environment variables
# ## 6) shared credentials file
# ## 7) EC2 Instance Profile
# #access_key = ""
# #secret_key = ""
# #token = ""
# #role_arn = ""
# #web_identity_token_file = ""
# #role_session_name = ""
# #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 = "telegraf@influxdb.com" # 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"
#
# # Send aggregate metrics to Logz.io
# [[outputs.logzio]]
# ## Connection timeout, defaults to "5s" if not set.
# timeout = "5s"
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
#
# ## Logz.io account token
# token = "your logz.io token" # required
#
# ## Use your listener URL for your Logz.io account region.
# # url = "https://listener.logz.io:8071"
# # Send logs to Loki
# [[outputs.loki]]
# ## The domain of Loki
# domain = "https://loki.domain.tld"
#
# ## Endpoint to write api
# # endpoint = "/loki/api/v1/push"
#
# ## Connection timeout, defaults to "5s" if not set.
# # timeout = "5s"
#
# ## Basic auth credential
# # username = "loki"
# # password = "pass"
#
# ## Additional HTTP headers
# # http_headers = {"X-Scope-OrgID" = "1"}
#
# ## If the request must be gzip encoded
# # gzip_request = false
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# # Sends metrics to MongoDB
# [[outputs.mongodb]]
# # connection string examples for mongodb
# dsn = "mongodb://localhost:27017"
# # dsn = "mongodb://mongod1:27017,mongod2:27017,mongod3:27017/admin&replicaSet=myReplSet&w=1"
#
# # overrides serverSelectionTimeoutMS in dsn if set
# # timeout = "30s"
#
# # default authentication, optional
# # authentication = "NONE"
#
# # for SCRAM-SHA-256 authentication
# # authentication = "SCRAM"
# # username = "root"
# # password = "***"
#
# # for x509 certificate authentication
# # authentication = "X509"
# # tls_ca = "ca.pem"
# # tls_key = "client.pem"
# # # tls_key_pwd = "changeme" # required for encrypted tls_key
# # insecure_skip_verify = false
#
# # database to store measurements and time series collections
# # database = "telegraf"
#
# # granularity can be seconds, minutes, or hours.
# # configuring this value will be based on your input collection frequency.
# # see https://docs.mongodb.com/manual/core/timeseries-collections/#create-a-time-series-collection
# # granularity = "seconds"
#
# # optionally set a TTL to automatically expire documents from the measurement collections.
# # ttl = "360h"
# # 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
#
# ## Defines the maximum length of time that the broker and client may not communicate.
# ## Defaults to 0 which turns the feature off. For version v2.0.12 of eclipse/mosquitto there is a
# ## [bug](https://github.com/eclipse/mosquitto/issues/2117) which requires keep_alive to be set.
# ## As a reference eclipse/paho.mqtt.golang v1.3.0 defaults to 30.
# # keep_alive = 0
#
# ## 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 client name
# # name = ""
#
# ## 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"
#
# ## HTTP Proxy override. If unset use values from the standard
# ## proxy environment variables to determine proxy, if any.
# # http_proxy = "http://corporate.proxy:3128"
#
# ## Metric URL override to enable geographic location endpoints.
# # If not set use values from the standard
# # metric_url = "https://metric-api.newrelic.com/metric/v1"
# # 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"
# # Send OpenTelemetry metrics over gRPC
# [[outputs.opentelemetry]]
# ## Override the default (localhost:4317) OpenTelemetry gRPC service
# ## address:port
# # service_address = "localhost:4317"
#
# ## Override the default (5s) request timeout
# # timeout = "5s"
#
# ## Optional TLS Config.
# ##
# ## Root certificates for verifying server certificates encoded in PEM format.
# # tls_ca = "/etc/telegraf/ca.pem"
# ## The public and private keypairs for the client encoded in PEM format.
# ## May contain intermediate certificates.
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS, but skip TLS chain and host verification.
# # insecure_skip_verify = false
# ## Send the specified TLS server name via SNI.
# # tls_server_name = "foo.example.com"
#
# ## Override the default (gzip) compression used to send data.
# ## Supports: "gzip", "none"
# # compression = "gzip"
#
# ## Additional OpenTelemetry resource attributes
# # [outputs.opentelemetry.attributes]
# # "service.name" = "demo"
#
# ## Additional gRPC request metadata
# # [outputs.opentelemetry.headers]
# # key1 = "value1"
# # 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;
# ## 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 = " "
# # Send aggregate metrics to Sensu Monitor
# [[outputs.sensu]]
# ## BACKEND API URL is the Sensu Backend API root URL to send metrics to
# ## (protocol, host, and port only). The output plugin will automatically
# ## append the corresponding backend API path
# ## /api/core/v2/namespaces/:entity_namespace/events/:entity_name/:check_name).
# ##
# ## Backend Events API reference:
# ## https://docs.sensu.io/sensu-go/latest/api/events/
# ##
# ## AGENT API URL is the Sensu Agent API root URL to send metrics to
# ## (protocol, host, and port only). The output plugin will automatically
# ## append the correspeonding agent API path (/events).
# ##
# ## Agent API Events API reference:
# ## https://docs.sensu.io/sensu-go/latest/api/events/
# ##
# ## NOTE: if backend_api_url and agent_api_url and api_key are set, the output
# ## plugin will use backend_api_url. If backend_api_url and agent_api_url are
# ## not provided, the output plugin will default to use an agent_api_url of
# ## http://127.0.0.1:3031
# ##
# # backend_api_url = "http://127.0.0.1:8080"
# # agent_api_url = "http://127.0.0.1:3031"
#
# ## API KEY is the Sensu Backend API token
# ## Generate a new API token via:
# ##
# ## $ sensuctl cluster-role create telegraf --verb create --resource events,entities
# ## $ sensuctl cluster-role-binding create telegraf --cluster-role telegraf --group telegraf
# ## $ sensuctl user create telegraf --group telegraf --password REDACTED
# ## $ sensuctl api-key grant telegraf
# ##
# ## For more information on Sensu RBAC profiles & API tokens, please visit:
# ## - https://docs.sensu.io/sensu-go/latest/reference/rbac/
# ## - https://docs.sensu.io/sensu-go/latest/reference/apikeys/
# ##
# # api_key = "${SENSU_API_KEY}"
#
# ## 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
#
# ## Timeout for HTTP message
# # timeout = "5s"
#
# ## HTTP Content-Encoding for write request body, can be set to "gzip" to
# ## compress body or "identity" to apply no encoding.
# # content_encoding = "identity"
#
# ## Sensu Event details
# ##
# ## Below are the event details to be sent to Sensu. The main portions of the
# ## event are the check, entity, and metrics specifications. For more information
# ## on Sensu events and its components, please visit:
# ## - Events - https://docs.sensu.io/sensu-go/latest/reference/events
# ## - Checks - https://docs.sensu.io/sensu-go/latest/reference/checks
# ## - Entities - https://docs.sensu.io/sensu-go/latest/reference/entities
# ## - Metrics - https://docs.sensu.io/sensu-go/latest/reference/events#metrics
# ##
# ## Check specification
# ## The check name is the name to give the Sensu check associated with the event
# ## created. This maps to check.metatadata.name in the event.
# [outputs.sensu.check]
# name = "telegraf"
#
# ## Entity specification
# ## Configure the entity name and namespace, if necessary. This will be part of
# ## the entity.metadata in the event.
# ##
# ## NOTE: if the output plugin is configured to send events to a
# ## backend_api_url and entity_name is not set, the value returned by
# ## os.Hostname() will be used; if the output plugin is configured to send
# ## events to an agent_api_url, entity_name and entity_namespace are not used.
# # [outputs.sensu.entity]
# # name = "server-01"
# # namespace = "default"
#
# ## Metrics specification
# ## Configure the tags for the metrics that are sent as part of the Sensu event
# # [outputs.sensu.tags]
# # source = "telegraf"
#
# ## Configure the handler(s) for processing the provided metrics
# # [outputs.sensu.metrics]
# # handlers = ["influxdb","elasticsearch"]
# # Send metrics and events to SignalFx
# [[outputs.signalfx]]
# ## SignalFx Org Access Token
# access_token = "my-secret-token"
#
# ## The SignalFx realm that your organization resides in
# signalfx_realm = "us9" # Required if ingest_url is not set
#
# ## You can optionally provide a custom ingest url instead of the
# ## signalfx_realm option above if you are using a gateway or proxy
# ## instance. This option takes precident over signalfx_realm.
# ingest_url = "https://my-custom-ingest/"
#
# ## Event typed metrics are omitted by default,
# ## If you require an event typed metric you must specify the
# ## metric name in the following list.
# included_event_names = ["plugin.metric_name"]
# # 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"
# # Send metrics to SQL Database
# [[outputs.sql]]
# ## Database driver
# ## Valid options: mssql (Microsoft SQL Server), mysql (MySQL), pgx (Postgres),
# ## sqlite (SQLite3), snowflake (snowflake.com)
# # driver = ""
#
# ## Data source name
# ## The format of the data source name is different for each database driver.
# ## See the plugin readme for details.
# # data_source_name = ""
#
# ## Timestamp column name
# # timestamp_column = "timestamp"
#
# ## Table creation template
# ## Available template variables:
# ## {TABLE} - table name as a quoted identifier
# ## {TABLELITERAL} - table name as a quoted string literal
# ## {COLUMNS} - column definitions (list of quoted identifiers and types)
# # table_template = "CREATE TABLE {TABLE}({COLUMNS})"
#
# ## Table existence check template
# ## Available template variables:
# ## {TABLE} - tablename as a quoted identifier
# # table_exists_template = "SELECT 1 FROM {TABLE} LIMIT 1"
#
# ## Initialization SQL
# # init_sql = ""
#
# ## Metric type to SQL type conversion
# #[outputs.sql.convert]
# # integer = "INT"
# # real = "DOUBLE"
# # text = "TEXT"
# # timestamp = "TIMESTAMP"
# # defaultvalue = "TEXT"
# # unsigned = "UNSIGNED"
# # 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) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
# ## 2) Assumed credentials via STS if role_arn is specified
# ## 3) explicit credentials from 'access_key' and 'secret_key'
# ## 4) shared profile from 'profile'
# ## 5) environment variables
# ## 6) shared credentials file
# ## 7) EC2 Instance Profile
# #access_key = ""
# #secret_key = ""
# #token = ""
# #role_arn = ""
# #web_identity_token_file = ""
# #role_session_name = ""
# #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
#
# ## Flush the internal buffers after each batch. This effectively bypasses the background sending of metrics
# ## normally done by the Wavefront SDK. This can be used if you are experiencing buffer overruns. The sending
# ## of metrics will block for a longer time, but this will be handled gracefully by the internal buffering in
# ## Telegraf.
# #immediate_flush = true
#
# ## 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
# # Generic WebSocket output writer.
# [[outputs.websocket]]
# ## URL is the address to send metrics to. Make sure ws or wss scheme is used.
# url = "ws://127.0.0.1:8080/telegraf"
#
# ## Timeouts (make sure read_timeout is larger than server ping interval or set to zero).
# # connect_timeout = "30s"
# # write_timeout = "30s"
# # read_timeout = "30s"
#
# ## Optionally turn on using text data frames (binary by default).
# # use_text_frames = 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 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"
#
# ## Additional HTTP Upgrade headers
# # [outputs.websocket.headers]
# # Authorization = "Bearer <TOKEN>"
# # Send aggregated metrics to Yandex.Cloud Monitoring
# [[outputs.yandex_cloud_monitoring]]
# ## Timeout for HTTP writes.
# # timeout = "20s"
#
# ## Yandex.Cloud monitoring API endpoint. Normally should not be changed
# # endpoint_url = "https://monitoring.api.cloud.yandex.net/monitoring/v2/data/write"
#
# ## All user metrics should be sent with "custom" service specified. Normally should not be changed
# # service = "custom"
###############################################################################
# PROCESSOR PLUGINS #
###############################################################################
# # Attach AWS EC2 metadata to metrics
# [[processors.aws_ec2]]
# ## Instance identity document tags to attach to metrics.
# ## For more information see:
# ## https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instance-identity-documents.html
# ##
# ## Available tags:
# ## * accountId
# ## * architecture
# ## * availabilityZone
# ## * billingProducts
# ## * imageId
# ## * instanceId
# ## * instanceType
# ## * kernelId
# ## * pendingTime
# ## * privateIp
# ## * ramdiskId
# ## * region
# ## * version
# imds_tags = []
#
# ## EC2 instance tags retrieved with DescribeTags action.
# ## In case tag is empty upon retrieval it's omitted when tagging metrics.
# ## Note that in order for this to work, role attached to EC2 instance or AWS
# ## credentials available from the environment must have a policy attached, that
# ## allows ec2:DescribeTags.
# ##
# ## For more information see:
# ## https://docs.aws.amazon.com/AWSEC2/latest/APIReference/API_DescribeTags.html
# ec2_tags = []
#
# ## Timeout for http requests made by against aws ec2 metadata endpoint.
# timeout = "10s"
#
# ## 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
#
# ## max_parallel_calls is the maximum number of AWS API calls to be in flight
# ## at the same time.
# ## It's probably best to keep this number fairly low.
# max_parallel_calls = 10
# # 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. Globs accepted.
# field = "status"
#
# ## Name of the tag to map. Globs accepted.
# # 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 as well as measurement, tag and field names 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 metric fields
# # [[processors.regex.field_rename]]
# # ## Regular expression to match on a field name
# # pattern = "^search_(\\w+)d$"
# # ## Matches of the pattern will be replaced with this string. Use ${1}
# # ## notation to use the text of the first submatch.
# # replacement = "${1}"
# # ## If the new field name already exists, you can either "overwrite" the
# # ## existing one with the value of the renamed field OR you can "keep"
# # ## both the existing and source field.
# # # result_key = "keep"
#
# ## Rename metric tags
# # [[processors.regex.tag_rename]]
# # ## Regular expression to match on a tag name
# # pattern = "^search_(\\w+)d$"
# # ## Matches of the pattern will be replaced with this string. Use ${1}
# # ## notation to use the text of the first submatch.
# # replacement = "${1}"
# # ## If the new tag name already exists, you can either "overwrite" the
# # ## existing one with the value of the renamed tag OR you can "keep"
# # ## both the existing and source tag.
# # # result_key = "keep"
#
# ## Rename metrics
# # [[processors.regex.metric_rename]]
# # ## Regular expression to match on an metric name
# # pattern = "^search_(\\w+)d$"
# # ## Matches of the pattern will be replaced with this string. Use ${1}
# # ## notation to use the text of the first submatch.
# # replacement = "${1}"
# # 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"
#
# ## The constants of the Starlark script.
# # [processors.starlark.constants]
# # max_size = 10
# # threshold = 0.75
# # default_name = "Julia"
# # debug_mode = true
# # 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"
#
# ## Sanitize a string to ensure it is a valid utf-8 string
# ## Each run of invalid UTF-8 byte sequences is replaced by the replacement string, which may be empty
# # [[processors.strings.valid_utf8]]
# # field = "message"
# # replacement = ""
# # 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"]
# # Calculates a derivative for every field.
# [[aggregators.derivative]]
# ## 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
# ##
# ## This aggregator will estimate a derivative for each field, which is
# ## contained in both the first and last metric of the aggregation interval.
# ## Without further configuration the derivative will be calculated with
# ## respect to the time difference between these two measurements in seconds.
# ## The formula applied is for every field:
# ##
# ## value_last - value_first
# ## derivative = --------------------------
# ## time_difference_in_seconds
# ##
# ## The resulting derivative will be named *fieldname_rate*. The suffix
# ## "_rate" can be configured by the *suffix* parameter. When using a
# ## derivation variable you can include its name for more clarity.
# # suffix = "_rate"
# ##
# ## As an abstraction the derivative can be calculated not only by the time
# ## difference but by the difference of a field, which is contained in the
# ## measurement. This field is assumed to be monotonously increasing. This
# ## feature is used by specifying a *variable*.
# ## Make sure the specified variable is not filtered and exists in the metrics
# ## passed to this aggregator!
# # variable = ""
# ##
# ## When using a field as the derivation parameter the name of that field will
# ## be used for the resulting derivative, e.g. *fieldname_by_parameter*.
# ##
# ## Note, that the calculation is based on the actual timestamp of the
# ## measurements. When there is only one measurement during that period, the
# ## measurement will be rolled over to the next period. The maximum number of
# ## such roll-overs can be configured with a default of 10.
# # max_roll_over = 10
# ##
# # 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
# # Keep the aggregate quantiles of each metric passing through.
# [[aggregators.quantile]]
# ## 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
#
# ## Quantiles to output in the range [0,1]
# # quantiles = [0.25, 0.5, 0.75]
#
# ## Type of aggregation algorithm
# ## Supported are:
# ## "t-digest" -- approximation using centroids, can cope with large number of samples
# ## "exact R7" -- exact computation also used by Excel or NumPy (Hyndman & Fan 1996 R7)
# ## "exact R8" -- exact computation (Hyndman & Fan 1996 R8)
# ## NOTE: Do not use "exact" algorithms with large number of samples
# ## to not impair performance or memory consumption!
# # algorithm = "t-digest"
#
# ## Compression for approximation (t-digest). The value needs to be
# ## greater or equal to 1.0. Smaller values will result in more
# ## performance but less accuracy.
# # compression = 100.0
# # Aggregate metrics using a Starlark script
# [[aggregators.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 = '''
# state = {}
#
# def add(metric):
# state["last"] = metric
#
# def push():
# return state.get("last")
#
# def reset():
# state.clear()
# '''
#
# ## File containing a Starlark script.
# # script = "/usr/local/bin/myscript.star"
#
# ## The constants of the Starlark script.
# # [aggregators.starlark.constants]
# # max_size = 10
# # threshold = 0.75
# # default_name = "Julia"
# # debug_mode = true
# # 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 #
###############################################################################
[[inputs.win_perf_counters]]
[[inputs.win_perf_counters.object]]
# Processor usage, alternative to native, reports on a per core.
ObjectName = "Processor"
Instances = ["*"]
Counters = [
"% Idle Time",
"% Interrupt Time",
"% Privileged Time",
"% User Time",
"% Processor Time"
]
Measurement = "win_cpu"
# Set to true to include _Total instance when querying for all (*).
#IncludeTotal=false
[[inputs.win_perf_counters.object]]
# Disk times and queues
ObjectName = "LogicalDisk"
Instances = ["*"]
Counters = [
"% Idle Time",
"% Disk Time",
"% Disk Read Time",
"% Disk Write Time",
"% User Time",
"% Free Space",
"Current Disk Queue Length",
"Free Megabytes",
"Disk Read Bytes/sec",
"Disk Write Bytes/sec"
]
Measurement = "win_disk"
# Set to true to include _Total instance when querying for all (*).
#IncludeTotal=false
[[inputs.win_perf_counters.object]]
ObjectName = "System"
Counters = [
"Context Switches/sec",
"System Calls/sec",
"Processor Queue Length",
"Threads",
"System Up Time",
"Processes"
]
Instances = ["------"]
Measurement = "win_system"
# Set to true to include _Total instance when querying for all (*).
#IncludeTotal=false
[[inputs.win_perf_counters.object]]
# Example query where the Instance portion must be removed to get data back,
# such as from the Memory object.
ObjectName = "Memory"
Counters = [
"Available Bytes",
"Cache Faults/sec",
"Demand Zero Faults/sec",
"Page Faults/sec",
"Pages/sec",
"Transition Faults/sec",
"Pool Nonpaged Bytes",
"Pool Paged Bytes"
]
# Use 6 x - to remove the Instance bit from the query.
Instances = ["------"]
Measurement = "win_mem"
# Set to true to include _Total instance when querying for all (*).
#IncludeTotal=false
[[inputs.win_perf_counters.object]]
# more counters for the Network Interface Object can be found at
# https://msdn.microsoft.com/en-us/library/ms803962.aspx
ObjectName = "Network Interface"
Counters = [
"Bytes Received/sec",
"Bytes Sent/sec",
"Packets Received/sec",
"Packets Sent/sec"
]
Instances = ["*"] # Use 6 x - to remove the Instance bit from the query.
Measurement = "win_net"
#IncludeTotal=false #Set to true to include _Total instance when querying for all (*).
[[inputs.win_perf_counters.object]]
# Process metrics
ObjectName = "Process"
Counters = [
"% Processor Time",
"Handle Count",
"Private Bytes",
"Thread Count",
"Virtual Bytes",
"Working Set"
]
Instances = ["*"]
Measurement = "win_proc"
#IncludeTotal=false #Set to true to include _Total instance when querying for all (*).
# 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 telemetry
# # 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
# # To have a balanced histogram, the number of buckets chosen
# # should divide evenly into 100.
# # num_histogram_buckets = 100 # default: 10
# # Query statistics from AMD Graphics cards using rocm-smi binary
# [[inputs.amd_rocm_smi]]
# ## Optional: path to rocm-smi binary, defaults to $PATH via exec.LookPath
# # bin_path = "/opt/rocm/bin/rocm-smi"
#
# ## Optional: timeout for GPU polling
# # timeout = "5s"
# # 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$$word"
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = false
# # Gather Azure Storage Queue metrics
# [[inputs.azure_storage_queue]]
# ## Required Azure Storage Account name
# account_name = "mystorageaccount"
#
# ## Required Azure Storage Account access key
# account_key = "storageaccountaccesskey"
#
# ## Set to false to disable peeking age of oldest message (executes faster)
# # peek_oldest_message_age = true
# # Collects Beanstalkd server and tubes stats
# [[inputs.beanstalkd]]
# ## Server to collect data from
# server = "localhost:11300"
#
# ## List of tubes to gather stats about.
# ## If no tubes specified then data gathered for each tube on server reported by list-tubes command
# tubes = ["notifications"]
# # Read metrics exposed by Beat
# [[inputs.beat]]
# ## An URL from which to read Beat-formatted JSON
# ## Default is "http://127.0.0.1:5066".
# url = "http://127.0.0.1:5066"
#
# ## Enable collection of the listed stats
# ## An empty list means collect all. Available options are currently
# ## "beat", "libbeat", "system" and "filebeat".
# # include = ["beat", "libbeat", "filebeat"]
#
# ## HTTP method
# # method = "GET"
#
# ## Optional HTTP headers
# # headers = {"X-Special-Header" = "Special-Value"}
#
# ## Override HTTP "Host" header
# # host_header = "logstash.example.com"
#
# ## Timeout for HTTP requests
# # timeout = "5s"
#
# ## Optional HTTP Basic Auth credentials
# # username = "username"
# # password = "pa$$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 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
#
# ## Timeout for http requests made by bind nameserver
# # timeout = "4s"
# # 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 will search for the corresponding keyring
# ## e.g. client.admin.keyring in /etc/ceph, or the explicit path defined in the
# ## client section of ceph.conf for example:
# ##
# ## [client.telegraf]
# ## keyring = /etc/ceph/client.telegraf.keyring
# ##
# ## Consult the ceph documentation for more detail on keyring generation.
# 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, requires ceph_user and ceph_config
# ## to be specified
# 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) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
# ## 2) Assumed credentials via STS if role_arn is specified
# ## 3) explicit credentials from 'access_key' and 'secret_key'
# ## 4) shared profile from 'profile'
# ## 5) environment variables
# ## 6) shared credentials file
# ## 7) EC2 Instance Profile
# # access_key = ""
# # secret_key = ""
# # token = ""
# # role_arn = ""
# # web_identity_token_file = ""
# # role_session_name = ""
# # 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 = ""
#
# ## Set http_proxy (telegraf uses the system wide proxy settings if it's is not set)
# # http_proxy_url = "http://localhost:8888"
#
# # 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 Namespaces (required)
# namespaces = ["AWS/ELB"]
# # A single metric statistic namespace that will be appended to namespaces on startup
# # 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.
# # ## 'value' has wildcard / 'glob' matching support such as 'p-*'.
# # [[inputs.cloudwatch.metrics.dimensions]]
# # name = "LoadBalancerName"
# # value = "p-example"
# # 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 per-node and per-bucket metrics from Couchbase
# [[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 = ["http://localhost:8091"]
#
# ## Filter bucket fields to include only here.
# # bucket_stats_included = ["quota_percent_used", "ops_per_sec", "disk_fetches", "item_count", "disk_used", "data_used", "mem_used"]
#
# ## 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 (defaults to false)
# ## If set to false, tls_cert and tls_key are required
# # insecure_skip_verify = false
# # 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"
# # Fetch metrics from a CSGO SRCDS
# [[inputs.csgo]]
# ## Specify servers using the following format:
# ## servers = [
# ## ["ip1:port1", "rcon_password1"],
# ## ["ip2:port2", "rcon_password2"],
# ## ]
# #
# ## If no servers are specified, no data will be collected
# servers = []
# # 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...),
# ## network (eth0, eth1, ...) and cpu (cpu0, cpu1, ...) stats or not.
# ## Usage of this setting is discouraged since it will be deprecated in favor of 'perdevice_include'.
# ## Default value is 'true' for backwards compatibility, please set it to 'false' so that 'perdevice_include' setting
# ## is honored.
# perdevice = true
#
# ## Specifies for which classes a per-device metric should be issued
# ## Possible values are 'cpu' (cpu0, cpu1, ...), 'blkio' (8:0, 8:1, ...) and 'network' (eth0, eth1, ...)
# ## Please note that this setting has no effect if 'perdevice' is set to 'true'
# # perdevice_include = ["cpu"]
#
# ## Whether to report for each container total blkio and network stats or not.
# ## Usage of this setting is discouraged since it will be deprecated in favor of 'total_include'.
# ## Default value is 'false' for backwards compatibility, please set it to 'true' so that 'total_include' setting
# ## is honored.
# total = false
#
# ## Specifies for which classes a total metric should be issued. Total is an aggregated of the 'perdevice' values.
# ## Possible values are 'cpu', 'blkio' and 'network'
# ## Total 'cpu' is reported directly by Docker daemon, and 'network' and 'blkio' totals are aggregated by this plugin.
# ## Please note that this setting has no effect if 'total' is set to 'false'
# # total_include = ["cpu", "blkio", "network"]
#
# ## 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
# ## Use of wildcards is allowed. Use a wildcard at the end to retrieve index names that end with a changing value, like a date.
# 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
#
# ## Sets the number of most recent indices to return for indices that are configured with a date-stamped suffix.
# ## Each 'indices_include' entry ending with a wildcard (*) or glob matching pattern will group together all indices that match it, and sort them
# ## by the date or number after the wildcard. Metrics then are gathered for only the 'num_most_recent_indices' amount of most recent indices.
# # num_most_recent_indices = 0
# # Derive metrics from aggregating Elasticsearch query results
# [[inputs.elasticsearch_query]]
# ## 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".
# # 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
# ## This option is only used if enable_sniffer is also set (0s to disable it)
# # health_check_interval = "10s"
#
# ## HTTP basic authentication details (eg. when using x-pack)
# # username = "telegraf"
# # 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
#
# [[inputs.elasticsearch_query.aggregation]]
# ## measurement name for the results of the aggregation query
# measurement_name = "measurement"
#
# ## Elasticsearch indexes to query (accept wildcards).
# index = "index-*"
#
# ## The date/time field in the Elasticsearch index (mandatory).
# date_field = "@timestamp"
#
# ## If the field used for the date/time field in Elasticsearch is also using
# ## a custom date/time format it may be required to provide the format to
# ## correctly parse the field.
# ##
# ## If using one of the built in elasticsearch formats this is not required.
# # date_field_custom_format = ""
#
# ## Time window to query (eg. "1m" to query documents from last minute).
# ## Normally should be set to same as collection interval
# query_period = "1m"
#
# ## Lucene query to filter results
# # filter_query = "*"
#
# ## Fields to aggregate values (must be numeric fields)
# # metric_fields = ["metric"]
#
# ## Aggregation function to use on the metric fields
# ## Must be set if 'metric_fields' is set
# ## Valid values are: avg, sum, min, max, sum
# # metric_function = "avg"
#
# ## Fields to be used as tags
# ## Must be text, non-analyzed fields. Metric aggregations are performed per tag
# # tags = ["field.keyword", "field2.keyword"]
#
# ## Set to true to not ignore documents when the tag(s) above are missing
# # include_missing_tag = false
#
# ## String value of the tag when the tag does not exist
# ## Used when include_missing_tag is true
# # missing_tag_value = "null"
# # 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"]
#
# ## Some drivers declare statistics with extra whitespace, different spacing,
# ## and mix cases. This list, when enabled, can be used to clean the keys.
# ## Here are the current possible normalizations:
# ## * snakecase: converts fooBarBaz to foo_bar_baz
# ## * trim: removes leading and trailing whitespace
# ## * lower: changes all capitalized letters to lowercase
# ## * underscore: replaces spaces with underscores
# # normalize_keys = ["snakecase", "trim", "lower", "underscore"]
# # 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. Cautious when file name variation is high, this can increase the cardinality
# ## significantly. Read more about cardinality here:
# ## https://docs.influxdata.com/influxdb/cloud/reference/glossary/#series-cardinality
# # 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"
#
# ## List of additional fields to query.
# ## NOTE: Getting those fields might involve issuing additional API-calls, so please
# ## make sure you do not exceed the rate-limit of GitHub.
# ##
# ## Available fields are:
# ## - pull-requests -- number of open and closed pull requests (2 API-calls per repository)
# # additional_fields = []
# # 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$$word"
#
# ## HTTP entity-body to send with POST/PUT requests.
# # body = ""
#
# ## HTTP Content-Encoding for write request body, can be set to "gzip" to
# ## compress body or "identity" to apply no encoding.
# # content_encoding = "identity"
#
# ## HTTP Proxy support
# # http_proxy_url = ""
#
# ## OAuth2 Client Credentials Grant
# # client_id = "clientid"
# # client_secret = "secret"
# # token_url = "https://indentityprovider/oauth2/v1/token"
# # scopes = ["urn:opc:idm:__myscopes__"]
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = false
#
# ## Optional Cookie authentication
# # cookie_auth_url = "https://localhost/authMe"
# # cookie_auth_method = "POST"
# # cookie_auth_username = "username"
# # cookie_auth_password = "pa$$word"
# # cookie_auth_body = '{"username": "user", "password": "pa$$word", "authenticate": "me"}'
# ## cookie_auth_renewal not set or set to "0" will auth once and never renew the cookie
# # cookie_auth_renewal = "5m"
#
# ## Amount of time allowed to complete the HTTP request
# # timeout = "5s"
#
# ## List of success status codes
# # success_status_codes = [200]
#
# ## Data format to consume.
# ## Each data format has its own unique set of configuration options, read
# ## more about them here:
# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
# # data_format = "influx"
# # HTTP/HTTPS request given an address a method and a timeout
# [[inputs.http_response]]
# ## Deprecated in 1.12, use 'urls'
# ## Server address (default http://localhost)
# # address = "http://localhost"
#
# ## List of urls to query.
# # urls = ["http://localhost"]
#
# ## Set http_proxy (telegraf uses the system wide proxy settings if it's is not set)
# # http_proxy = "http://localhost:8888"
#
# ## Set response_timeout (default 5 seconds)
# # response_timeout = "5s"
#
# ## HTTP Request Method
# # method = "GET"
#
# ## Whether to follow redirects from the server (defaults to false)
# # follow_redirects = false
#
# ## Optional file with Bearer token
# ## file content is added as an Authorization header
# # bearer_token = "/path/to/file"
#
# ## Optional HTTP Basic Auth Credentials
# # username = "username"
# # password = "pa$$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
# # Monitors internet speed using speedtest.net service
# [[inputs.internet_speed]]
# ## Sets if runs file download test
# ## Default: false
# enable_file_download = false
# # 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
#
# ## Optionally provide the hex key for the IMPI connection.
# # hex_key = ""
#
# ## If ipmitool should use a cache
# ## for me ipmitool runs about 2 to 10 times faster with cache enabled on HP G10 servers (when using ubuntu20.04)
# ## the cache file may not work well for you if some sensors come up late
# # use_cache = false
#
# ## Path to the ipmitools cache file (defaults to OS temp dir)
# ## The provided path must exist and must be writable
# # cache_path = ""
# # 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"
# # 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 include or exclude from gathering
# ## When using both lists, job_exclude has priority.
# ## Wildcards are supported: [ "jobA/*", "jobB/subjob1/*"]
# # job_include = [ "*" ]
# # job_exclude = [ ]
#
# ## Nodes to include or exclude from gathering
# ## When using both lists, node_exclude has priority.
# # node_include = [ "*" ]
# # node_exclude = [ ]
#
# ## 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
# # 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"
# # tls_server_name = "kubernetes.example.com"
# ## 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 about LVM physical volumes, volume groups, logical volumes.
# [[inputs.lvm]]
# ## Use sudo to run LVM commands
# use_sudo = false
# # 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, RTU over TCP, ASCII over 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 = "1s"
#
# ## 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://localhost:502"
#
# ## Serial (RS485; RS232)
# # controller = "file:///dev/ttyUSB0"
# # baud_rate = 9600
# # data_bits = 8
# # parity = "N"
# # stop_bits = 1
# # transmission_mode = "RTU"
#
# ## Trace the connection to the modbus device as debug messages
# ## Note: You have to enable telegraf's debug mode to see those messages!
# # debug_connection = false
#
# ## For Modbus over TCP you can choose between "TCP", "RTUoverTCP" and "ASCIIoverTCP"
# ## default behaviour is "TCP" if the controller is TCP
# ## For Serial you can choose between "RTU" and "ASCII"
# # 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, FLOAT64-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 = [0]},
# { name = "tank_ph", byte_order = "AB", data_type = "INT16", scale=1.0, address = [1]},
# { name = "pump1_speed", byte_order = "ABCD", data_type = "INT32", scale=1.0, address = [3,4]},
# ]
#
# ## Enable workarounds required by some devices to work correctly
# # [inputs.modbus.workarounds]
# ## Pause between read requests sent to the device. This might be necessary for (slow) serial devices.
# # pause_between_requests = "0ms"
# ## Close the connection after every gather cycle. Usually the plugin closes the connection after a certain
# ## idle-timeout, however, if you query a device with limited simultaneous connectivity (e.g. serial devices)
# ## from multiple instances you might want to only stay connected during gather and disconnect afterwards.
# # close_connection_after_gather = false
# # 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:auth_key@10.10.3.30:27017,
# ## mongodb://10.10.3.33:18832,
# servers = ["mongodb://127.0.0.1:27017?connect=direct"]
#
# ## 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
#
# ## When true, collect usage statistics for each collection
# ## (insert, update, queries, remove, getmore, commands etc...).
# # gather_top_stat = 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 all channels from SHOW SLAVE STATUS command output
# # gather_all_slave_channels = false
#
# ## use MariaDB dialect for all channels SHOW SLAVE STATUS
# # mariadb_dialect = 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
#
# ## gather metrics from PERFORMANCE_SCHEMA.EVENTS_STATEMENTS_SUMMARY_BY_ACCOUNT_BY_EVENT_NAME
# # gather_perf_sum_per_acc_per_event = false
#
# ## list of events to be gathered for gather_perf_sum_per_acc_per_event
# ## in case of empty list all events will be gathered
# # perf_summary_events = []
#
# ## 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 per-mount NFS client metrics from /proc/self/mountstats
# [[inputs.nfsclient]]
# ## Read more low-level metrics (optional, defaults to false)
# # fullstat = false
#
# ## List of mounts to explictly include or exclude (optional)
# ## The pattern (Go regexp) is matched against the mount point (not the
# ## device being mounted). If include_mounts is set, all mounts are ignored
# ## unless present in the list. If a mount is listed in both include_mounts
# ## and exclude_mounts, it is excluded. Go regexp patterns can be used.
# # include_mounts = []
# # exclude_mounts = []
#
# ## List of operations to include or exclude from collecting. This applies
# ## only when fullstat=true. Symantics are similar to {include,exclude}_mounts:
# ## the default is to collect everything; when include_operations is set, only
# ## those OPs are collected; when exclude_operations is set, all are collected
# ## except those listed. If include and exclude are set, the OP is excluded.
# ## See /proc/self/mountstats for a list of valid operations; note that
# ## NFSv3 and NFSv4 have different lists. While it is not possible to
# ## have different include/exclude lists for NFSv3/4, unused elements
# ## in the list should be okay. It is possible to have different lists
# ## for different mountpoints: use mulitple [[input.nfsclient]] stanzas,
# ## with their own lists. See "include_mounts" above, and be careful of
# ## duplicate metrics.
# # include_operations = []
# # exclude_operations = []
# # 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 "/usr/bin/nvidia-smi"
# ## We will first try to locate the nvidia-smi binary with the explicitly specified value (or default value),
# ## if it is not found, we will try to locate it on PATH(exec.LookPath), if it is still not found, an error will be returned
# # bin_path = "/usr/bin/nvidia-smi"
#
# ## Optional: timeout for GPU polling
# # timeout = "5s"
# # Retrieve data from OPCUA devices
# [[inputs.opcua]]
# ## Metric name
# # name = "opcua"
# #
# ## 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 = ""
# #
# ## Option to select the metric timestamp to use. Valid options are:
# ## "gather" -- uses the time of receiving the data in telegraf
# ## "server" -- uses the timestamp provided by the server
# ## "source" -- uses the timestamp provided by the source
# # timestamp = "gather"
# #
# ## Node ID configuration
# ## name - field name to use in the output
# ## namespace - OPC UA namespace of the node (integer value 0 thru 3)
# ## identifier_type - OPC UA ID type (s=string, i=numeric, g=guid, b=opaque)
# ## identifier - OPC UA ID (tag as shown in opcua browser)
# ## Example:
# ## {name="ProductUri", namespace="0", identifier_type="i", identifier="2262"}
# # nodes = [
# # {name="", namespace="", identifier_type="", identifier=""},
# # {name="", namespace="", identifier_type="", identifier=""},
# #]
# #
# ## Node Group
# ## Sets defaults for OPC UA namespace and ID type so they aren't required in
# ## every node. A group can also have a metric name that overrides the main
# ## plugin metric name.
# ##
# ## Multiple node groups are allowed
# #[[inputs.opcua.group]]
# ## Group Metric name. Overrides the top level name. If unset, the
# ## top level name is used.
# # name =
# #
# ## Group default namespace. If a node in the group doesn't set its
# ## namespace, this is used.
# # namespace =
# #
# ## Group default identifier type. If a node in the group doesn't set its
# ## namespace, this is used.
# # identifier_type =
# #
# ## Node ID Configuration. Array of nodes with the same settings as above.
# # nodes = [
# # {name="", namespace="", identifier_type="", identifier=""},
# # {name="", namespace="", identifier_type="", identifier=""},
# #]
# # 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
# # Collects performance metrics from OpenStack services
# [[inputs.openstack]]
# ## The recommended interval to poll is '30m'
#
# ## The identity endpoint to authenticate against and get the service catalog from.
# authentication_endpoint = "https://my.openstack.cloud:5000"
#
# ## The domain to authenticate against when using a V3 identity endpoint.
# # domain = "default"
#
# ## The project to authenticate as.
# # project = "admin"
#
# ## User authentication credentials. Must have admin rights.
# username = "admin"
# password = "password"
#
# ## Available services are:
# ## "agents", "aggregates", "flavors", "hypervisors", "networks", "nova_services",
# ## "ports", "projects", "servers", "services", "stacks", "storage_pools", "subnets", "volumes"
# # enabled_services = ["services", "projects", "hypervisors", "flavors", "networks", "volumes"]
#
# ## Collect Server Diagnostics
# # server_diagnotics = false
#
# ## output secrets (such as adminPass(for server) and UserID(for volume)).
# # output_secrets = false
#
# ## Amount of time allowed to complete the HTTP(s) request.
# # timeout = "5s"
#
# ## HTTP Proxy support
# # http_proxy_url = ""
#
# ## 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
#
# ## Options for tags received from Openstack
# # tag_prefix = "openstack_tag_"
# # tag_value = "true"
#
# ## Timestamp format for timestamp data recieved from Openstack.
# ## If false format is unix nanoseconds.
# # human_readable_timestamps = false
#
# ## Measure Openstack call duration
# # measure_openstack_requests = false
# # 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 = ""
#
# ## Percentiles to calculate. This only works with the native method.
# # percentiles = [50, 95, 99]
#
# ## 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
#
# ## Number of data bytes to be sent. Corresponds to the "-s"
# ## option of the ping command. This only works with the native method.
# # size = 56
# # 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, supports globs when include_systemd_children is set to true
# # systemd_unit = "nginx.service"
# # include_systemd_children = false
# ## CGroup name or path, supports globs
# # 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
#
# ## Mode to use when calculating CPU usage. Can be one of 'solaris' or 'irix'.
# # mode = "irix"
#
# ## 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"
# ## Node name, defaults to OS hostname
# # node_name = ""
#
# ## 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"]
#
# ## Metrics to include and exclude. Globs accepted.
# ## Note that an empty array for both will include all metrics
# ## Currently the following metrics are supported: "exchange", "federation", "node", "overview", "queue"
# # metric_include = []
# # metric_exclude = []
#
# ## 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"]
# # Reads metrics from RavenDB servers via the Monitoring Endpoints
# [[inputs.ravendb]]
# ## Node URL and port that RavenDB is listening on
# url = "https://localhost:8080"
#
# ## RavenDB X509 client certificate setup
# # tls_cert = "/etc/telegraf/raven.crt"
# # tls_key = "/etc/telegraf/raven.key"
#
# ## Optional request timeout
# ##
# ## Timeout, specifies the amount of time to wait
# ## for a server's response headers after fully writing the request and
# ## time limit for requests made by this client
# # timeout = "5s"
#
# ## List of statistics which are collected
# # At least one is required
# # Allowed values: server, databases, indexes, collections
# #
# # stats_include = ["server", "databases", "indexes", "collections"]
#
# ## List of db where database stats are collected
# ## If empty, all db are concerned
# # db_stats_dbs = []
#
# ## List of db where index status are collected
# ## If empty, all indexes from all db are concerned
# # index_stats_dbs = []
#
# ## List of db where collection status are collected
# ## If empty, all collections from all db are concerned
# # collection_stats_dbs = []
# # 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://: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 = ["tcp://localhost:6379"]
#
# ## Optional. Specify redis commands to retrieve values
# # [[inputs.redis.commands]]
# # # The command to run where each argument is a separate element
# # command = ["get", "sample-key"]
# # # The field to store the result in
# # field = "sample-key-value"
# # # The type of the result
# # # Can be "string", "integer", or "float"
# # 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:auth_key@10.10.3.30:28105,
# ## 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:password@127.0.0.1:28015"]
# ##
# ## If you use older versions of rethinkdb (<2.2) with auth_key, protocol
# ## have to be named "rethinkdb".
# # servers = ["rethinkdb://username:auth_key@127.0.0.1:28015"]
# # 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"
# # 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"
#
# ## Optionally call smartctl and nvme-cli with a specific concurrency policy.
# ## By default, smartctl and nvme-cli are called in separate threads (goroutines) to gather disk attributes.
# ## Some devices (e.g. disks in RAID arrays) may have access limitations that require sequential reading of
# ## SMART data - one individual array drive at the time. In such case please set this configuration option
# ## to "sequential" to get readings for all drives.
# ## valid options: concurrent, sequential
# # read_method = "concurrent"
# # Retrieves SNMP values from remote agents
# [[inputs.snmp]]
# ## Agent addresses to retrieve values from.
# ## format: agents = ["<scheme://><hostname>:<port>"]
# ## scheme: optional, either udp, udp4, udp6, tcp, tcp4, tcp6.
# ## default is udp
# ## port: optional
# ## example: agents = ["udp://127.0.0.1:161"]
# ## agents = ["tcp://127.0.0.1:161"]
# ## agents = ["udp4://v4only-snmp-agent"]
# agents = ["udp://127.0.0.1:161"]
#
# ## Timeout for each request.
# # timeout = "5s"
#
# ## SNMP version; can be 1, 2, or 3.
# # version = 2
#
# ## Path to mib files
# # path = ["/usr/share/snmp/mibs"]
#
# ## 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", "SHA224", "SHA256", "SHA384", "SHA512" 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"
# # 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
# # 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"
# # Input plugin to collect Windows Event Log messages
# [[inputs.win_eventlog]]
# ## Telegraf should have Administrator permissions to subscribe for some Windows Events channels
# ## (System log, for example)
#
# ## LCID (Locale ID) for event rendering
# ## 1033 to force English language
# ## 0 to use default Windows locale
# # locale = 0
#
# ## Name of eventlog, used only if xpath_query is empty
# ## Example: "Application"
# # eventlog_name = ""
#
# ## xpath_query can be in defined short form like "Event/System[EventID=999]"
# ## or you can form a XML Query. Refer to the Consuming Events article:
# ## https://docs.microsoft.com/en-us/windows/win32/wes/consuming-events
# ## XML query is the recommended form, because it is most flexible
# ## You can create or debug XML Query by creating Custom View in Windows Event Viewer
# ## and then copying resulting XML here
# xpath_query = '''
# <QueryList>
# <Query Id="0" Path="Security">
# <Select Path="Security">*</Select>
# <Suppress Path="Security">*[System[( (EventID &gt;= 5152 and EventID &lt;= 5158) or EventID=5379 or EventID=4672)]]</Suppress>
# </Query>
# <Query Id="1" Path="Application">
# <Select Path="Application">*[System[(Level &lt; 4)]]</Select>
# </Query>
# <Query Id="2" Path="Windows PowerShell">
# <Select Path="Windows PowerShell">*[System[(Level &lt; 4)]]</Select>
# </Query>
# <Query Id="3" Path="System">
# <Select Path="System">*</Select>
# </Query>
# <Query Id="4" Path="Setup">
# <Select Path="Setup">*</Select>
# </Query>
# </QueryList>
# '''
#
# ## System field names:
# ## "Source", "EventID", "Version", "Level", "Task", "Opcode", "Keywords", "TimeCreated",
# ## "EventRecordID", "ActivityID", "RelatedActivityID", "ProcessID", "ThreadID", "ProcessName",
# ## "Channel", "Computer", "UserID", "UserName", "Message", "LevelText", "TaskText", "OpcodeText"
#
# ## In addition to System, Data fields can be unrolled from additional XML nodes in event.
# ## Human-readable representation of those nodes is formatted into event Message field,
# ## but XML is more machine-parsable
#
# # Process UserData XML to fields, if this node exists in Event XML
# process_userdata = true
#
# # Process EventData XML to fields, if this node exists in Event XML
# process_eventdata = true
#
# ## Separator character to use for unrolled XML Data field names
# separator = "_"
#
# ## Get only first line of Message field. For most events first line is usually more than enough
# only_first_line_of_message = true
#
# ## Parse timestamp from TimeCreated.SystemTime event field.
# ## Will default to current time of telegraf processing on parsing error or if set to false
# timestamp_from_event = true
#
# ## Fields to include as tags. Globbing supported ("Level*" for both "Level" and "LevelText")
# event_tags = ["Source", "EventID", "Level", "LevelText", "Task", "TaskText", "Opcode", "OpcodeText", "Keywords", "Channel", "Computer"]
#
# ## Default list of fields to send. All fields are sent by default. Globbing supported
# event_fields = ["*"]
#
# ## Fields to exclude. Also applied to data fields. Globbing supported
# exclude_fields = ["TimeCreated", "Binary", "Data_Address*"]
#
# ## Skip those tags or fields if their value is empty or equals to zero. Globbing supported
# exclude_empty = ["*ActivityID", "UserID"]
# # Input plugin to counterPath Performance Counters on Windows operating systems
# [[inputs.win_perf_counters]]
# ## By default this plugin returns basic CPU and Disk statistics.
# ## See the README file for more examples.
# ## Uncomment examples below or write your own as you see fit. If the system
# ## being polled for data does not have the Object at startup of the Telegraf
# ## agent, it will not be gathered.
# ## Settings:
# # PrintValid = false # Print All matching performance counters
# # Whether request a timestamp along with the PerfCounter data or just use current time
# # UsePerfCounterTime=true
# # If UseWildcardsExpansion params is set to true, wildcards (partial wildcards in instance names and wildcards in counters names) in configured counter paths will be expanded
# # and in case of localized Windows, counter paths will be also localized. It also returns instance indexes in instance names.
# # If false, wildcards (not partial) in instance names will still be expanded, but instance indexes will not be returned in instance names.
# #UseWildcardsExpansion = false
# # When running on a localized version of Windows and with UseWildcardsExpansion = true, Windows will
# # localize object and counter names. When LocalizeWildcardsExpansion = false, use the names in object.Counters instead
# # of the localized names. Only Instances can have wildcards in this case. ObjectName and Counters must not have wildcards when this
# # setting is false.
# #LocalizeWildcardsExpansion = true
# # Period after which counters will be reread from configuration and wildcards in counter paths expanded
# CountersRefreshInterval="1m"
#
# [[inputs.win_perf_counters.object]]
# # Processor usage, alternative to native, reports on a per core.
# ObjectName = "Processor"
# Instances = ["*"]
# Counters = [
# "% Idle Time",
# "% Interrupt Time",
# "% Privileged Time",
# "% User Time",
# "% Processor Time",
# "% DPC Time",
# ]
# Measurement = "win_cpu"
# # Set to true to include _Total instance when querying for all (*).
# # IncludeTotal=false
# # Print out when the performance counter is missing from object, counter or instance.
# # WarnOnMissing = false
#
# [[inputs.win_perf_counters.object]]
# # Disk times and queues
# ObjectName = "LogicalDisk"
# Instances = ["*"]
# Counters = [
# "% Idle Time",
# "% Disk Time",
# "% Disk Read Time",
# "% Disk Write Time",
# "% User Time",
# "% Free Space",
# "Current Disk Queue Length",
# "Free Megabytes",
# ]
# Measurement = "win_disk"
#
# [[inputs.win_perf_counters.object]]
# ObjectName = "PhysicalDisk"
# Instances = ["*"]
# Counters = [
# "Disk Read Bytes/sec",
# "Disk Write Bytes/sec",
# "Current Disk Queue Length",
# "Disk Reads/sec",
# "Disk Writes/sec",
# "% Disk Time",
# "% Disk Read Time",
# "% Disk Write Time",
# ]
# Measurement = "win_diskio"
#
# [[inputs.win_perf_counters.object]]
# ObjectName = "Network Interface"
# Instances = ["*"]
# Counters = [
# "Bytes Received/sec",
# "Bytes Sent/sec",
# "Packets Received/sec",
# "Packets Sent/sec",
# "Packets Received Discarded",
# "Packets Outbound Discarded",
# "Packets Received Errors",
# "Packets Outbound Errors",
# ]
# Measurement = "win_net"
#
#
# [[inputs.win_perf_counters.object]]
# ObjectName = "System"
# Counters = [
# "Context Switches/sec",
# "System Calls/sec",
# "Processor Queue Length",
# "System Up Time",
# ]
# Instances = ["------"]
# Measurement = "win_system"
#
# [[inputs.win_perf_counters.object]]
# # Example counterPath where the Instance portion must be removed to get data back,
# # such as from the Memory object.
# ObjectName = "Memory"
# Counters = [
# "Available Bytes",
# "Cache Faults/sec",
# "Demand Zero Faults/sec",
# "Page Faults/sec",
# "Pages/sec",
# "Transition Faults/sec",
# "Pool Nonpaged Bytes",
# "Pool Paged Bytes",
# "Standby Cache Reserve Bytes",
# "Standby Cache Normal Priority Bytes",
# "Standby Cache Core Bytes",
# ]
# Instances = ["------"] # Use 6 x - to remove the Instance bit from the counterPath.
# Measurement = "win_mem"
#
# [[inputs.win_perf_counters.object]]
# # Example query where the Instance portion must be removed to get data back,
# # such as from the Paging File object.
# ObjectName = "Paging File"
# Counters = [
# "% Usage",
# ]
# Instances = ["_Total"]
# Measurement = "win_swap"
# # Input plugin to report Windows services info.
# [[inputs.win_services]]
# ## Names of the services to monitor. Leave empty to monitor all the available services on the host. Globs accepted.
# service_names = [
# "LanmanServer",
# "TermService",
# "Win*",
# ]
# #excluded_service_names = [] # optional, list of service names to exclude
# # 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
# ## Prefix your entry with 'file://' if you intend to use relative paths
# sources = ["tcp://example.org:443", "https://influxdata.com:443",
# "udp://127.0.0.1:4433", "/etc/ssl/certs/ssl-cert-snakeoil.pem",
# "/etc/mycerts/*.mydomain.org.pem", "file:///path/to/*.pem"]
#
# ## 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, pools and datasets
# [[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
# ## By default, don't gather zdataset stats
# # datasetMetrics = 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 #
###############################################################################
# # Pull Metric Statistics from Aliyun CMS
# [[inputs.aliyuncms]]
# ## Aliyun Credentials
# ## Credentials are loaded in the following order
# ## 1) Ram RoleArn credential
# ## 2) AccessKey STS token credential
# ## 3) AccessKey credential
# ## 4) Ecs Ram Role credential
# ## 5) RSA keypair credential
# ## 6) Environment variables credential
# ## 7) Instance metadata credential
#
# # access_key_id = ""
# # access_key_secret = ""
# # access_key_sts_token = ""
# # role_arn = ""
# # role_session_name = ""
# # private_key = ""
# # public_key_id = ""
# # role_name = ""
#
# ## Specify the ali cloud region list to be queried for metrics and objects discovery
# ## If not set, all supported regions (see below) would be covered, it can provide a significant load on API, so the recommendation here
# ## is to limit the list as much as possible. Allowed values: https://www.alibabacloud.com/help/zh/doc-detail/40654.htm
# ## Default supported regions are:
# ## 21 items: cn-qingdao,cn-beijing,cn-zhangjiakou,cn-huhehaote,cn-hangzhou,cn-shanghai,cn-shenzhen,
# ## cn-heyuan,cn-chengdu,cn-hongkong,ap-southeast-1,ap-southeast-2,ap-southeast-3,ap-southeast-5,
# ## ap-south-1,ap-northeast-1,us-west-1,us-east-1,eu-central-1,eu-west-1,me-east-1
# ##
# ## From discovery perspective it set the scope for object discovery, the discovered info can be used to enrich
# ## the metrics with objects attributes/tags. Discovery is supported not for all projects (if not supported, then
# ## it will be reported on the start - for example for 'acs_cdn' project:
# ## 'E! [inputs.aliyuncms] Discovery tool is not activated: no discovery support for project "acs_cdn"' )
# ## Currently, discovery supported for the following projects:
# ## - acs_ecs_dashboard
# ## - acs_rds_dashboard
# ## - acs_slb_dashboard
# ## - acs_vpc_eip
# regions = ["cn-hongkong"]
#
# # The minimum period for AliyunCMS 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://help.aliyun.com/document_detail/51936.html?spm=a2c4g.11186623.2.18.2bc1750eeOw1Pv
# # 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 Aliyun OpenAPI
# # and will not be collected by Telegraf.
# #
# ## Requested AliyunCMS aggregation Period (required - must be a multiple of 60s)
# period = "5m"
#
# ## Collection Delay (required - must account for metrics availability via AliyunCMS API)
# delay = "1m"
#
# ## Recommended: use metric 'interval' that is a multiple of 'period' to avoid
# ## gaps or overlap in pulled data
# interval = "5m"
#
# ## Metric Statistic Project (required)
# project = "acs_slb_dashboard"
#
# ## Maximum requests per second, default value is 200
# ratelimit = 200
#
# ## How often the discovery API call executed (default 1m)
# #discovery_interval = "1m"
#
# ## Metrics to Pull (Required)
# [[inputs.aliyuncms.metrics]]
# ## Metrics names to be requested,
# ## described here (per project): https://help.aliyun.com/document_detail/28619.html?spm=a2c4g.11186623.6.690.1938ad41wg8QSq
# names = ["InstanceActiveConnection", "InstanceNewConnection"]
#
# ## Dimension filters for Metric (these are optional).
# ## This allows to get additional metric dimension. If dimension is not specified it can be returned or
# ## the data can be aggregated - it depends on particular metric, you can find details here: https://help.aliyun.com/document_detail/28619.html?spm=a2c4g.11186623.6.690.1938ad41wg8QSq
# ##
# ## Note, that by default dimension filter includes the list of discovered objects in scope (if discovery is enabled)
# ## Values specified here would be added into the list of discovered objects.
# ## You can specify either single dimension:
# #dimensions = '{"instanceId": "p-example"}'
#
# ## Or you can specify several dimensions at once:
# #dimensions = '[{"instanceId": "p-example"},{"instanceId": "q-example"}]'
#
# ## Enrichment tags, can be added from discovery (if supported)
# ## Notation is <measurement_tag_name>:<JMES query path (https://jmespath.org/tutorial.html)>
# ## To figure out which fields are available, consult the Describe<ObjectType> API per project.
# ## For example, for SLB: https://api.aliyun.com/#/?product=Slb&version=2014-05-15&api=DescribeLoadBalancers&params={}&tab=MOCK&lang=GO
# #tag_query_path = [
# # "address:Address",
# # "name:LoadBalancerName",
# # "cluster_owner:Tags.Tag[?TagKey=='cs.cluster.name'].TagValue | [0]"
# # ]
# ## The following tags added by default: regionId (if discovery enabled), userId, instanceId.
#
# ## Allow metrics without discovery data, if discovery is enabled. If set to true, then metric without discovery
# ## data would be emitted, otherwise dropped. This cane be of help, in case debugging dimension filters, or partial coverage
# ## of discovery scope vs monitoring scope
# #allow_dps_without_discovery = false
# # 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:mypassword@10.10.10.1:8778","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"
# ##Define Property Xformation, please refer README and https://pubhub.devnetcloud.com/media/dme-docs-9-3-3/docs/appendix/ for Model details.
# [inputs.cisco_telemetry_mdt.dmes]
# ModTs = "ignore"
# CreateTs = "ignore"
# # 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"
# # Ingests files in a directory and then moves them to a target directory.
# [[inputs.directory_monitor]]
# ## The directory to monitor and read files from.
# directory = ""
# #
# ## The directory to move finished files to.
# finished_directory = ""
# #
# ## The directory to move files to upon file error.
# ## If not provided, erroring files will stay in the monitored directory.
# # error_directory = ""
# #
# ## The amount of time a file is allowed to sit in the directory before it is picked up.
# ## This time can generally be low but if you choose to have a very large file written to the directory and it's potentially slow,
# ## set this higher so that the plugin will wait until the file is fully copied to the directory.
# # directory_duration_threshold = "50ms"
# #
# ## A list of the only file names to monitor, if necessary. Supports regex. If left blank, all files are ingested.
# # files_to_monitor = ["^.*\.csv"]
# #
# ## A list of files to ignore, if necessary. Supports regex.
# # files_to_ignore = [".DS_Store"]
# #
# ## Maximum lines of the file to process that have not yet be written by the
# ## output. For best throughput set to the size of the output's metric_buffer_limit.
# ## Warning: setting this number higher than the output's metric_buffer_limit can cause dropped metrics.
# # max_buffered_metrics = 10000
# #
# ## The maximum amount of file paths to queue up for processing at once, before waiting until files are processed to find more files.
# ## Lowering this value will result in *slightly* less memory use, with a potential sacrifice in speed efficiency, if absolutely necessary.
# # file_queue_size = 100000
# #
# ## Name a tag containing the name of the file the data was parsed from. Leave empty
# ## to disable. Cautious when file name variation is high, this can increase the cardinality
# ## significantly. Read more about cardinality here:
# ## https://docs.influxdata.com/influxdb/cloud/reference/glossary/#series-cardinality
# # file_tag = ""
# #
# ## The dataformat to be read from the 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
# ## NOTE: We currently only support parsing newline-delimited JSON. See the format here: https://github.com/ndjson/ndjson-spec
# 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_CONNECTION_STRING"
# ##
# ## 2) Expected Environment Variables:
# ## - "EVENTHUB_NAMESPACE"
# ## - "EVENTHUB_NAME"
# ## - "EVENTHUB_KEY_NAME"
# ## - "EVENTHUB_KEY_VALUE"
#
# ## 3) Expected Environment Variables:
# ## - "EVENTHUB_NAMESPACE"
# ## - "EVENTHUB_NAME"
# ## - "AZURE_TENANT_ID"
# ## - "AZURE_CLIENT_ID"
# ## - "AZURE_CLIENT_SECRET"
#
# ## 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.
# ## If this option is uncommented, environment variables will be ignored.
# ## Connection string should contain EventHubName (EntityPath)
# # 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", "bytes")
# # 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.
# ## This option is deprecated and only available for backward-compatibility. Please use paths instead.
# # path = ""
#
# ## Paths to listen to.
# # paths = ["/telegraf"]
#
# ## Save path as http_listener_v2_path tag if set to true
# # path_tag = false
#
# ## 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 524,288,000 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"
# # 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
# # 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
# # sasl_username = "kafka"
# # sasl_password = "secret"
#
# ## Optional SASL:
# ## one of: OAUTHBEARER, PLAIN, SCRAM-SHA-256, SCRAM-SHA-512, GSSAPI
# ## (defaults to PLAIN)
# # sasl_mechanism = ""
#
# ## used if sasl_mechanism is GSSAPI (experimental)
# # sasl_gssapi_service_name = ""
# # ## One of: KRB5_USER_AUTH and KRB5_KEYTAB_AUTH
# # sasl_gssapi_auth_type = "KRB5_USER_AUTH"
# # sasl_gssapi_kerberos_config_path = "/"
# # sasl_gssapi_realm = "realm"
# # sasl_gssapi_key_tab_path = ""
# # sasl_gssapi_disable_pafxfast = false
#
# ## used if sasl_mechanism is OAUTHBEARER (experimental)
# # sasl_access_token = ""
#
# ## SASL protocol version. When connecting to Azure EventHub set to 0.
# # sasl_version = 1
#
# # Disable Kafka metadata full fetch
# # metadata_full = false
#
# ## Name of the consumer group.
# # consumer_group = "telegraf_metrics_consumers"
#
# ## Compression codec represents the various compression codecs recognized by
# ## Kafka in messages.
# ## 0 : None
# ## 1 : Gzip
# ## 2 : Snappy
# ## 3 : LZ4
# ## 4 : ZSTD
# # compression_codec = 0
#
# ## 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
#
# ## Maximum amount of time the consumer should take to process messages. If
# ## the debug log prints messages from sarama about 'abandoning subscription
# ## to [topic] because consuming was taking too long', increase this value to
# ## longer than the time taken by the output plugin(s).
# ##
# ## Note that the effective timeout could be between 'max_processing_time' and
# ## '2 * max_processing_time'.
# # max_processing_time = "100ms"
#
# ## 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) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
# ## 2) Assumed credentials via STS if role_arn is specified
# ## 3) explicit credentials from 'access_key' and 'secret_key'
# ## 4) shared profile from 'profile'
# ## 5) environment variables
# ## 6) shared credentials file
# ## 7) EC2 Instance Profile
# # access_key = ""
# # secret_key = ""
# # token = ""
# # role_arn = ""
# # web_identity_token_file = ""
# # role_session_name = ""
# # 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"
#
# ##
# ## The content encoding of the data from kinesis
# ## If you are processing a cloudwatch logs kinesis stream then set this to "gzip"
# ## as AWS compresses cloudwatch log data before it is sent to kinesis (aws
# ## also base64 encodes the zip byte data before pushing to the stream. The base64 decoding
# ## is done automatically by the golang sdk, as data is read from kinesis)
# ##
# # content_encoding = "identity"
#
# ## Optional
# ## Configuration for a dynamodb checkpoint
# [inputs.kinesis_consumer.checkpoint_dynamodb]
# ## unique name for this consumer
# app_name = "default"
# table_name = "default"
# # Listener capable of handling KNX bus messages provided through a KNX-IP Interface.
# [[inputs.knx_listener]]
# ## Type of KNX-IP interface.
# ## Can be either "tunnel" or "router".
# # service_type = "tunnel"
#
# ## Address of the KNX-IP interface.
# service_address = "localhost:3671"
#
# ## Measurement definition(s)
# # [[inputs.knx_listener.measurement]]
# # ## Name of the measurement
# # name = "temperature"
# # ## Datapoint-Type (DPT) of the KNX messages
# # dpt = "9.001"
# # ## List of Group-Addresses (GAs) assigned to the measurement
# # addresses = ["5/5/1"]
#
# # [[inputs.knx_listener.measurement]]
# # name = "illumination"
# # dpt = "9.004"
# # addresses = ["5/5/3"]
# # 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 separate 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/#",
# ]
# # topic_fields = "_/_/_/temperature"
# ## 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"
# ## Enable extracting tag values from MQTT topics
# ## _ denotes an ignored entry in the topic path
# ## [[inputs.mqtt_consumer.topic_parsing]]
# ## topic = ""
# ## measurement = ""
# ## tags = ""
# ## fields = ""
# ## [inputs.mqtt_consumer.topic_parsing.types]
# ##
# # 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"
# # Receive OpenTelemetry traces, metrics, and logs over gRPC
# [[inputs.opentelemetry]]
# ## Override the default (0.0.0.0:4317) destination OpenTelemetry gRPC service
# ## address:port
# # service_address = "0.0.0.0:4317"
#
# ## Override the default (5s) new connection timeout
# # timeout = "5s"
#
# ## Override the default (prometheus-v1) metrics schema.
# ## Supports: "prometheus-v1", "prometheus-v2"
# ## For more information about the alternatives, read the Prometheus input
# ## plugin notes.
# # metrics_schema = "prometheus-v1"
#
# ## Optional TLS Config.
# ## For advanced options: https://github.com/influxdata/telegraf/blob/v1.18.3/docs/TLS.md
# ##
# ## 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"
# # 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
# ##
# ## the tagvalue field is used to define custom tags (separated by comas).
# ## the query is expected to return columns which match the names of the
# ## defined tags. The values in these columns must be of a string-type,
# ## a number-type or a blob-type.
# ##
# ## The timestamp field is used to override the data points timestamp value. By
# ## default, all rows inserted with current time. By setting a timestamp column,
# ## the row will be inserted with that column's value.
# ##
# ## Structure :
# ## [[inputs.postgresql_extensible.query]]
# ## sqlquery string
# ## version string
# ## withdbname boolean
# ## tagvalue string (comma separated)
# ## measurement string
# ## timestamp 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;
# ## metric_version = 2; recommended version
# # metric_version = 1
#
# ## Url tag name (tag containing scrapped url. optional, default is "url")
# # url_tag = "url"
#
# ## Whether the timestamp of the scraped metrics will be ignored.
# ## If set to true, the gather time will be used.
# # ignore_timestamp = false
#
# ## 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
# ## Get the list of pods to scrape with either the scope of
# ## - cluster: the kubernetes watch api (default, no need to specify)
# ## - node: the local cadvisor api; for scalability. Note that the config node_ip or the environment variable NODE_IP must be set to the host IP.
# # pod_scrape_scope = "cluster"
# ## Only for node scrape scope: node IP of the node that telegraf is running on.
# ## Either this config or the environment variable NODE_IP must be set.
# # node_ip = "10.180.1.1"
# ## Only for node scrape scope: interval in seconds for how often to get updated pod list for scraping.
# ## Default is 60 seconds.
# # pod_scrape_interval = 60
# ## 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"
#
# ## Scrape Services available in Consul Catalog
# # [inputs.prometheus.consul]
# # enabled = true
# # agent = "http://localhost:8500"
# # query_interval = "5m"
#
# # [[inputs.prometheus.consul.query]]
# # name = "a service name"
# # tag = "a service tag"
# # url = 'http://{{if ne .ServiceAddress ""}}{{.ServiceAddress}}{{else}}{{.Address}}{{end}}:{{.ServicePort}}/{{with .ServiceMeta.metrics_path}}{{.}}{{else}}metrics{{end}}'
# # [inputs.prometheus.consul.query.tags]
# # host = "{{.Node}}"
#
# ## 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
# # Riemann protobuff listener.
# [[inputs.riemann_listener]]
# ## URL to listen on.
# ## Default is "tcp://:5555"
# # 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"
#
# ## Maximum number of concurrent connections.
# ## 0 (default) is unlimited.
# # max_connections = 1024
# ## Read timeout.
# ## 0 (default) is unlimited.
# # read_timeout = "30s"
# ## Optional TLS configuration.
# # 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).
# # read_buffer_size = "64KiB"
# ## Period between keep alive probes.
# ## 0 disables keep alive probes.
# ## Defaults to the OS configuration.
# # keep_alive_period = "5m"
# # 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"
# ##
# ## Path to mib files
# # path = ["/usr/share/snmp/mibs"]
# ##
# ## 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"
# # Read metrics from SQL queries
# [[inputs.sql]]
# ## Database Driver
# ## See https://github.com/influxdata/telegraf/blob/master/docs/SQL_DRIVERS_INPUT.md for
# ## a list of supported drivers.
# driver = "mysql"
#
# ## Data source name for connecting
# ## The syntax and supported options depends on selected driver.
# dsn = "username:password@mysqlserver:3307/dbname?param=value"
#
# ## Timeout for any operation
# ## Note that the timeout for queries is per query not per gather.
# # timeout = "5s"
#
# ## Connection time limits
# ## By default the maximum idle time and maximum lifetime of a connection is unlimited, i.e. the connections
# ## will not be closed automatically. If you specify a positive time, the connections will be closed after
# ## idleing or existing for at least that amount of time, respectively.
# # connection_max_idle_time = "0s"
# # connection_max_life_time = "0s"
#
# ## Connection count limits
# ## By default the number of open connections is not limited and the number of maximum idle connections
# ## will be inferred from the number of queries specified. If you specify a positive number for any of the
# ## two options, connections will be closed when reaching the specified limit. The number of idle connections
# ## will be clipped to the maximum number of connections limit if any.
# # connection_max_open = 0
# # connection_max_idle = auto
#
# [[inputs.sql.query]]
# ## Query to perform on the server
# query="SELECT user,state,latency,score FROM Scoreboard WHERE application > 0"
# ## Alternatively to specifying the query directly you can select a file here containing the SQL query.
# ## Only one of 'query' and 'query_script' can be specified!
# # query_script = "/path/to/sql/script.sql"
#
# ## Name of the measurement
# ## In case both measurement and 'measurement_col' are given, the latter takes precedence.
# # measurement = "sql"
#
# ## Column name containing the name of the measurement
# ## If given, this will take precedence over the 'measurement' setting. In case a query result
# ## does not contain the specified column, we fall-back to the 'measurement' setting.
# # measurement_column = ""
#
# ## Column name containing the time of the measurement
# ## If ommited, the time of the query will be used.
# # time_column = ""
#
# ## Format of the time contained in 'time_col'
# ## The time must be 'unix', 'unix_ms', 'unix_us', 'unix_ns', or a golang time format.
# ## See https://golang.org/pkg/time/#Time.Format for details.
# # time_format = "unix"
#
# ## Column names containing tags
# ## An empty include list will reject all columns and an empty exclude list will not exclude any column.
# ## I.e. by default no columns will be returned as tag and the tags are empty.
# # tag_columns_include = []
# # tag_columns_exclude = []
#
# ## Column names containing fields (explicit types)
# ## Convert the given columns to the corresponding type. Explicit type conversions take precedence over
# ## the automatic (driver-based) conversion below.
# ## NOTE: Columns should not be specified for multiple types or the resulting type is undefined.
# # field_columns_float = []
# # field_columns_int = []
# # field_columns_uint = []
# # field_columns_bool = []
# # field_columns_string = []
#
# ## Column names containing fields (automatic types)
# ## An empty include list is equivalent to '[*]' and all returned columns will be accepted. An empty
# ## exclude list will not exclude any column. I.e. by default all columns will be returned as fields.
# ## NOTE: We rely on the database driver to perform automatic datatype conversion.
# # field_columns_include = []
# # field_columns_exclude = []
# # 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;",
# ]
#
# ## Authentication method
# ## valid methods: "connection_string", "AAD"
# # auth_method = "connection_string"
#
# ## "database_type" 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 - "SQLServer" or "AzureSQLDB" or "AzureSQLManagedInstance" or "AzureSQLPool"
#
# database_type = "SQLServer"
#
# ## A list of queries to include. If not specified, all the below listed queries are used.
# include_query = []
#
# ## A list of queries to explicitly ignore.
# exclude_query = ["SQLServerAvailabilityReplicaStates", "SQLServerDatabaseReplicaStates"]
#
# ## Queries enabled by default for database_type = "SQLServer" are -
# ## SQLServerPerformanceCounters, SQLServerWaitStatsCategorized, SQLServerDatabaseIO, SQLServerProperties, SQLServerMemoryClerks,
# ## SQLServerSchedulers, SQLServerRequests, SQLServerVolumeSpace, SQLServerCpu, SQLServerAvailabilityReplicaStates, SQLServerDatabaseReplicaStates
#
# ## Queries enabled by default for database_type = "AzureSQLDB" are -
# ## AzureSQLDBResourceStats, AzureSQLDBResourceGovernance, AzureSQLDBWaitStats, AzureSQLDBDatabaseIO, AzureSQLDBServerProperties,
# ## AzureSQLDBOsWaitstats, AzureSQLDBMemoryClerks, AzureSQLDBPerformanceCounters, AzureSQLDBRequests, AzureSQLDBSchedulers
#
# ## Queries enabled by default for database_type = "AzureSQLManagedInstance" are -
# ## AzureSQLMIResourceStats, AzureSQLMIResourceGovernance, AzureSQLMIDatabaseIO, AzureSQLMIServerProperties, AzureSQLMIOsWaitstats,
# ## AzureSQLMIMemoryClerks, AzureSQLMIPerformanceCounters, AzureSQLMIRequests, AzureSQLMISchedulers
#
# ## Queries enabled by default for database_type = "AzureSQLPool" are -
# ## AzureSQLPoolResourceStats, AzureSQLPoolResourceGovernance, AzureSQLPoolDatabaseIO, AzureSQLPoolWaitStats,
# ## AzureSQLPoolMemoryClerks, AzureSQLPoolPerformanceCounters, AzureSQLPoolSchedulers
#
# ## Following are old config settings
# ## You may use them only if you are using the earlier flavor of queries, however it is recommended to use
# ## the new mechanism of identifying the database_type there by use it's corresponding queries
#
# ## 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
# # 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
#
# ## Parses distributions metric as specified in the datadog statsd format
# ## https://docs.datadoghq.com/developers/metrics/types/?tab=distribution#definition
# datadog_distributions = 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
#
# ## Max duration (TTL) for each metric to stay cached/reported without being updated.
# #max_ttl = "1000h"
# # Suricata stats and alerts plugin
# [[inputs.suricata]]
# ## Data sink for Suricata stats and alerts logs
# # 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 = "_"
#
# ## Detect alert logs
# # alerts = false
# # 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
#
# ## The RFC standard to use for message parsing
# ## By default RFC5424 is used. RFC3164 only supports UDP transport (no streaming support)
# ## Must be one of "RFC5424", or "RFC3164".
# # syslog_standard = "RFC5424"
#
# ## 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
# ## "/var/log/log[!1-2]* -> tail files without 1-2
# ## "/var/log/log[^1-2]* -> identical behavior as above
# ## 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"
#
# ## Set the tag that will contain the path of the tailed file. If you don't want this tag, set it to an empty string.
# # path_tag = "path"
#
# ## 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 = "user@corp.local"
# 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 = ["*"]
#
# ## The number of vSphere 5 minute metric collection cycles to look back for non-realtime metrics. In
# ## some versions (6.7, 7.0 and possible more), certain metrics, such as cluster metrics, may be reported
# ## with a significant delay (>30min). If this happens, try increasing this number. Please note that increasing
# ## it too much may cause performance issues.
# # metric_lookback = 3
#
# ## 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
#
# ## The Historical Interval value must match EXACTLY the interval in the daily
# # "Interval Duration" found on the VCenter server under Configure > General > Statistics > Statistic intervals
# # historical_interval = "5m"
# # 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
view raw telegraf.conf hosted with ❤ by GitHub
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