dom
/
telegraf
1
0
Fork 0
Code Issues Pull Requests Releases Wiki Activity
telegraf/etc/telegraf.conf

4489 lines
152 KiB
Plaintext
Raw Blame History

This file contains invisible Unicode characters

This file contains invisible Unicode characters that are indistinguishable to humans but may be processed differently by a computer. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

# 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 prepend
# 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
## For failed writes, telegraf will cache metric_buffer_limit metrics for each
## output, and will flush this buffer on a successful write. Oldest metrics
## are dropped first when this buffer fills.
## This buffer only fills when writes fail to output plugin(s).
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 = ""
## Logging configuration:
## Run telegraf with debug log messages.
debug = false
## Run telegraf in quiet mode (error log messages only).
quiet = false
## Specify the log file name. The empty string means to log to stderr.
logfile = ""
## Override default hostname, if empty use os.Hostname()
hostname = ""
## If set to true, do no set the "host" tag in the telegraf agent.
omit_hostname = false
###############################################################################
# OUTPUT PLUGINS #
###############################################################################
# Configuration for sending metrics to InfluxDB
[[outputs.influxdb]]
## The full HTTP or UDP URL for your InfluxDB instance.
##
## Multiple URLs can be specified for a single cluster, only ONE of the
## urls will be written to each interval.
# urls = ["unix:///var/run/influxdb.sock"]
# urls = ["udp://127.0.0.1:8089"]
# urls = ["http://127.0.0.1:8086"]
## The target database for metrics; will be created as needed.
# database = "telegraf"
## 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 = ""
## 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 = 512
## 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 = "identity"
## 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_declare_passive = false
#
# ## Exchange durability can be either "transient" or "durable".
# # exchange_durability = "durable"
#
# ## Additional exchange arguments.
# # exchange_arguments = { }
# # exchange_arguments = {"hash_propery" = "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
#
# ## 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"
#
# ## Timeout for closing (default: 5s).
# # timeout = "5s"
#
# ## Enable additional diagnostic logging.
# # enable_diagnostic_logging = false
#
# ## Context Tag Sources add Application Insights context tags to a tag value.
# ##
# ## For list of allowed context tag keys see:
# ## https://github.com/Microsoft/ApplicationInsights-Go/blob/master/appinsights/contracts/contexttagkeys.go
# # [outputs.application_insights.context_tag_sources]
# # "ai.cloud.role" = "kubernetes_container_name"
# # "ai.cloud.roleInstance" = "kubernetes_pod_name"
# # Send aggregate metrics to Azure Monitor
# [[outputs.azure_monitor]]
# ## Timeout for HTTP writes.
# # timeout = "20s"
#
# ## Set the namespace prefix, defaults to "Telegraf/<input-name>".
# # namespace_prefix = "Telegraf/"
#
# ## Azure Monitor doesn't have a string value type, so convert string
# ## fields to dimensions (a.k.a. tags) if enabled. Azure Monitor allows
# ## a maximum of 10 dimensions so Telegraf will only send the first 10
# ## alphanumeric dimensions.
# # strings_as_dimensions = false
#
# ## Both region and resource_id must be set or be available via the
# ## Instance Metadata service on Azure Virtual Machines.
# #
# ## Azure Region to publish metrics against.
# ## ex: region = "southcentralus"
# # region = ""
# #
# ## The Azure Resource ID against which metric will be logged, e.g.
# ## ex: resource_id = "/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.Compute/virtualMachines/<vm_name>"
# # resource_id = ""
# # Configuration for AWS CloudWatch output.
# [[outputs.cloudwatch]]
# ## Amazon REGION
# region = "us-east-1"
#
# ## Amazon Credentials
# ## Credentials are loaded in the following order
# ## 1) Assumed credentials via STS if role_arn is specified
# ## 2) explicit credentials from 'access_key' and 'secret_key'
# ## 3) shared profile from 'profile'
# ## 4) environment variables
# ## 5) shared credentials file
# ## 6) EC2 Instance Profile
# #access_key = ""
# #secret_key = ""
# #token = ""
# #role_arn = ""
# #profile = ""
# #shared_credential_file = ""
#
# ## Endpoint to make request against, the correct endpoint is automatically
# ## determined and this option should only be set if you wish to override the
# ## default.
# ## ex: endpoint_url = "http://localhost:8000"
# # endpoint_url = ""
#
# ## Namespace for the CloudWatch MetricDatums
# namespace = "InfluxData/Telegraf"
#
# ## If you have a large amount of metrics, you should consider to send statistic
# ## values instead of raw metrics which could not only improve performance but
# ## also save AWS API cost. If enable this flag, this plugin would parse the required
# ## CloudWatch statistic fields (count, min, max, and sum) and send them to CloudWatch.
# ## You could use basicstats aggregator to calculate those fields. If not all statistic
# ## fields are available, all fields would still be sent as raw metrics.
# # write_statistics = false
# # Configuration for CrateDB to send metrics to.
# [[outputs.cratedb]]
# # A github.com/jackc/pgx connection string.
# # See https://godoc.org/github.com/jackc/pgx#ParseDSN
# url = "postgres://user:password@localhost/schema?sslmode=disable"
# # Timeout for all CrateDB queries.
# timeout = "5s"
# # Name of the table to store metrics in.
# table = "metrics"
# # If true, and the metrics table does not exist, create it automatically.
# table_create = true
# # Configuration for DataDog API to send metrics to.
# [[outputs.datadog]]
# ## Datadog API key
# apikey = "my-secret-key" # required.
#
# ## Connection timeout.
# # timeout = "5s"
# # Send metrics to nowhere at all
# [[outputs.discard]]
# # no configuration
# # Configuration for Elasticsearch to send metrics to.
# [[outputs.elasticsearch]]
# ## The full HTTP endpoint URL for your Elasticsearch instance
# ## Multiple urls can be specified as part of the same cluster,
# ## this means that only ONE of the urls will be written to each interval.
# urls = [ "http://node1.es.example.com:9200" ] # required.
# ## Elasticsearch client timeout, defaults to "5s" if not set.
# timeout = "5s"
# ## Set to true to ask Elasticsearch a list of all cluster nodes,
# ## thus it is not necessary to list all nodes in the urls config option.
# enable_sniffer = false
# ## Set the interval to check if the Elasticsearch nodes are available
# ## Setting to "0s" will disable the health check (not recommended in production)
# health_check_interval = "10s"
# ## HTTP basic authentication details (eg. when using Shield)
# # 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
# # Send telegraf metrics to file(s)
# [[outputs.file]]
# ## Files to write to, "stdout" is a specially handled file.
# files = ["stdout", "/tmp/metrics.out"]
#
# ## 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
#
# ## 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(s)
# [[outputs.graylog]]
# ## UDP endpoint for your graylog instance.
# servers = ["127.0.0.1:12201", "192.168.1.1:12201"]
# # 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/metric"
#
# ## Timeout for HTTP message
# # timeout = "5s"
#
# ## HTTP method, one of: "POST" or "PUT"
# # method = "POST"
#
# ## HTTP Basic Auth credentials
# # username = "username"
# # password = "pa$$word"
#
# ## OAuth2 Client Credentials Grant
# # client_id = "clientid"
# # client_secret = "secret"
# # token_url = "https://indentityprovider/oauth2/v1/token"
# # scopes = ["urn:opc:idm:__myscopes__"]
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = false
#
# ## Data format to output.
# ## Each data format has it's own unique set of configuration options, read
# ## more about them here:
# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
# # data_format = "influx"
#
# ## Additional HTTP headers
# # [outputs.http.headers]
# # # Should be set manually to "application/json" for json data_format
# # Content-Type = "text/plain; charset=utf-8"
# # Configuration for sending metrics to InfluxDB
# [[outputs.influxdb_v2]]
# ## The URLs of the InfluxDB cluster nodes.
# ##
# ## Multiple URLs can be specified for a single cluster, only ONE of the
# ## urls will be written to each interval.
# urls = ["http://127.0.0.1:9999"]
#
# ## Token for authentication.
# token = ""
#
# ## Organization is the name of the organization you wish to write to; must exist.
# organization = ""
#
# ## Bucket to the name fo the bucketwrite into; must exist.
# bucket = ""
#
# ## 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 Communcation 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"
#
# ## 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 = "_"
#
# ## Telegraf 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. If set to "random",
# ## a random value will be generated for each message.
# ## ex: routing_key = "random"
# ## routing_key = "telegraf"
# # routing_key = ""
#
# ## CompressionCodec represents the various compression codecs recognized by
# ## Kafka in messages.
# ## 0 : No compression
# ## 1 : Gzip compression
# ## 2 : Snappy compression
# ## 3 : LZ4 compression
# # compression_codec = 0
#
# ## RequiredAcks is used in Produce Requests to tell the broker how many
# ## replica acknowledgements it must see before responding
# ## 0 : the producer never waits for an acknowledgement from the broker.
# ## This option provides the lowest latency but the weakest durability
# ## guarantees (some data will be lost when a server fails).
# ## 1 : the producer gets an acknowledgement after the leader replica has
# ## received the data. This option provides better durability as the
# ## client waits until the server acknowledges the request as successful
# ## (only messages that were written to the now-dead leader but not yet
# ## replicated will be lost).
# ## -1: the producer gets an acknowledgement after all in-sync replicas have
# ## received the data. This option provides the best durability, we
# ## guarantee that no messages will be lost as long as at least one in
# ## sync replica remains.
# # required_acks = -1
#
# ## The maximum number of times to retry sending a metric before failing
# ## until the next flush.
# # max_retry = 3
#
# ## The maximum permitted size of a message. Should be set equal to or
# ## smaller than the broker's 'message.max.bytes'.
# # max_message_bytes = 1000000
#
# ## Optional TLS Config
# # 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"
#
# ## Data format to output.
# ## Each data format has its own unique set of configuration options, read
# ## more about them here:
# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
# # data_format = "influx"
# # Configuration for the AWS Kinesis output.
# [[outputs.kinesis]]
# ## Amazon REGION of kinesis endpoint.
# region = "ap-southeast-2"
#
# ## Amazon Credentials
# ## Credentials are loaded in the following order
# ## 1) Assumed credentials via STS if role_arn is specified
# ## 2) explicit credentials from 'access_key' and 'secret_key'
# ## 3) shared profile from 'profile'
# ## 4) environment variables
# ## 5) shared credentials file
# ## 6) EC2 Instance Profile
# #access_key = ""
# #secret_key = ""
# #token = ""
# #role_arn = ""
# #profile = ""
# #shared_credential_file = ""
#
# ## Endpoint to make request against, the correct endpoint is automatically
# ## determined and this option should only be set if you wish to override the
# ## default.
# ## ex: endpoint_url = "http://localhost:8000"
# # endpoint_url = ""
#
# ## Kinesis StreamName must exist prior to starting telegraf.
# streamname = "StreamName"
# ## DEPRECATED: PartitionKey as used for sharding data.
# partitionkey = "PartitionKey"
# ## DEPRECATED: If set the paritionKey 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
# ## string will be used:
# # [outputs.kinesis.partition]
# # method = "tag"
# # key = "host"
#
#
# ## 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]]
# ## Librator 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"
#
# # 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
#
# ## Data format to output.
# ## Each data format has its own unique set of configuration options, read
# ## more about them here:
# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
# data_format = "influx"
# # Send telegraf measurements to NATS
# [[outputs.nats]]
# ## URLs of NATS servers
# servers = ["nats://localhost:4222"]
# ## Optional credentials
# # username = ""
# # password = ""
# ## NATS subject for producer messages
# subject = "telegraf"
#
# ## 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 telegraf measurements to NSQD
# [[outputs.nsq]]
# ## Location of nsqd instance listening on TCP
# server = "localhost:4150"
# ## NSQ topic for producer messages
# topic = "telegraf"
#
# ## Data format to output.
# ## Each data format has its own unique set of configuration options, read
# ## more about them here:
# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md
# data_format = "influx"
# # Configuration for OpenTSDB server to send metrics to
# [[outputs.opentsdb]]
# ## prefix for metrics keys
# prefix = "my.specific.prefix."
#
# ## DNS name of the OpenTSDB server
# ## Using "opentsdb.example.com" or "tcp://opentsdb.example.com" will use the
# ## telnet API. "http://opentsdb.example.com" will use the Http API.
# host = "opentsdb.example.com"
#
# ## Port of the OpenTSDB server
# port = 4242
#
# ## Number of data points to send to OpenTSDB in Http requests.
# ## Not used with telnet API.
# http_batch_size = 50
#
# ## URI Path for Http requests to OpenTSDB.
# ## Used in cases where OpenTSDB is located behind a reverse proxy.
# http_path = "/api/put"
#
# ## Debug true - Prints OpenTSDB communication
# debug = false
#
# ## Separator separates measurement name from field
# separator = "_"
# # Configuration for the Prometheus client to spawn
# [[outputs.prometheus_client]]
# ## Address to listen on
# listen = ":9273"
#
# ## 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"
# # Configuration for the Riemann server to send metrics to
# [[outputs.riemann]]
# ## The full TCP or UDP URL of the Riemann server
# url = "tcp://localhost:5555"
#
# ## Riemann event TTL, floating-point time in seconds.
# ## Defines how long that an event is considered valid for in Riemann
# # ttl = 30.0
#
# ## Separator to use between measurement and field name in Riemann service name
# ## This does not have any effect if 'measurement_as_attribute' is set to 'true'
# separator = "/"
#
# ## Set measurement name as Riemann attribute 'measurement', instead of prepending it to the Riemann service name
# # measurement_as_attribute = false
#
# ## Send string metrics as Riemann event states.
# ## Unless enabled all string metrics will be ignored
# # string_as_state = false
#
# ## A list of tag keys whose values get sent as Riemann tags.
# ## If empty, all Telegraf tag values will be sent as tags
# # tag_keys = ["telegraf","custom_tag"]
#
# ## Additional Riemann tags to send.
# # tags = ["telegraf-output"]
#
# ## Description for Riemann event
# # description_text = "metrics collected from telegraf"
#
# ## Riemann client write timeout, defaults to "5s" if not set.
# # timeout = "5s"
# # Configuration for the Riemann server to send metrics to
# [[outputs.riemann_legacy]]
# ## URL of server
# url = "localhost:5555"
# ## transport protocol to use either tcp or udp
# transport = "tcp"
# ## separator to use between input name and field name in Riemann service name
# separator = " "
# # Generic socket writer capable of handling multiple socket types.
# [[outputs.socket_writer]]
# ## URL to connect to
# # address = "tcp://127.0.0.1:8094"
# # address = "tcp://example.com:http"
# # address = "tcp4://127.0.0.1:8094"
# # address = "tcp6://127.0.0.1:8094"
# # address = "tcp6://[2001:db8::1]:8094"
# # address = "udp://127.0.0.1:8094"
# # address = "udp4://127.0.0.1:8094"
# # address = "udp6://127.0.0.1:8094"
# # address = "unix:///tmp/telegraf.sock"
# # address = "unixgram:///tmp/telegraf.sock"
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = false
#
# ## Period between keep alive probes.
# ## Only applies to TCP sockets.
# ## 0 disables keep alive probes.
# ## Defaults to the OS configuration.
# # keep_alive_period = "5m"
#
# ## Data format to generate.
# ## Each data format has its own unique set of configuration options, read
# ## more about them here:
# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
# # data_format = "influx"
# # Configuration for Wavefront server to send metrics to
# [[outputs.wavefront]]
# ## DNS name of the wavefront proxy server
# host = "wavefront.example.com"
#
# ## Port that the Wavefront proxy server listens on
# port = 2878
#
# ## prefix for metrics keys
# #prefix = "my.specific.prefix."
#
# ## whether to use "value" for name of simple fields
# #simple_fields = false
#
# ## character to use between metric and field name. defaults to . (dot)
# #metric_separator = "."
#
# ## Convert metric name paths to use metricSeperator character
# ## When true (default) will convert all _ (underscore) chartacters in final metric name
# #convert_paths = true
#
# ## Use Regex to sanitize metric and tag names from invalid characters
# ## Regex is more thorough, but significantly slower
# #use_regex = false
#
# ## point tags to use as the source name for Wavefront (if none found, host will be used)
# #source_override = ["hostname", "agent_host", "node_host"]
#
# ## whether to convert boolean values to numeric values, with false -> 0.0 and true -> 1.0. default true
# #convert_bool = true
#
# ## Define a mapping, namespaced by metric prefix, from string values to numeric values
# ## The example below maps "green" -> 1.0, "yellow" -> 0.5, "red" -> 0.0 for
# ## any metrics beginning with "elasticsearch"
# #[[outputs.wavefront.string_to_number.elasticsearch]]
# # green = 1.0
# # yellow = 0.5
# # red = 0.0
###############################################################################
# PROCESSOR PLUGINS #
###############################################################################
# # 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]
# 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]
# tag = []
# string = []
# integer = []
# unsigned = []
# boolean = []
# float = []
# # Map enum values according to given table.
# [[processors.enum]]
# [[processors.enum.mapping]]
# ## Name of the field to map
# field = "status"
#
# ## Destination field to be used for the mapped value. By default the source
# ## 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
# yellow = 2
# red = 3
# # 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"
# # Print all metrics that pass through this filter.
# [[processors.printer]]
# # Transforms tag and field values with regex pattern
# [[processors.regex]]
# ## Tag and field conversions defined in a separate sub-tables
# # [[processors.regex.tags]]
# # ## Tag to change
# # key = "resp_code"
# # ## Regular expression to match on a tag value
# # pattern = "^(\\d)\\d\\d$"
# # ## Pattern for constructing a new value (${1} represents first subgroup)
# # replacement = "${1}xx"
#
# # [[processors.regex.fields]]
# # key = "request"
# # ## All the power of the Go regular expressions available here
# # ## For example, named subgroups
# # pattern = "^/api(?P<method>/[\\w/]+)\\S*"
# # replacement = "${method}"
# # ## If result_key is present, a new field will be created
# # ## instead of changing existing field
# # result_key = "method"
#
# ## Multiple conversions may be applied for one field sequentially
# ## Let's extract one more value
# # [[processors.regex.fields]]
# # key = "request"
# # pattern = ".*category=(\\w+).*"
# # replacement = "${1}"
# # result_key = "search_category"
# # Rename measurements, tags, and fields that pass through this filter.
# [[processors.rename]]
# # 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"
#
# ## 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"
# # 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_agregate_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 = []
###############################################################################
# AGGREGATOR PLUGINS #
###############################################################################
# # Keep the aggregate basicstats of each metric passing through.
# [[aggregators.basicstats]]
# ## 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
# # 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
#
# ## Example config that aggregates all fields of the metric.
# # [[aggregators.histogram.config]]
# # ## The set of buckets.
# # 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]]
# # ## The set of buckets.
# # 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"]
# # Keep the aggregate min/max of each metric passing through.
# [[aggregators.minmax]]
# ## General Aggregator Arguments:
# ## The period on which to flush & clear the aggregator.
# period = "30s"
# ## If true, the original metric will be dropped by the
# ## aggregator and will not get sent to the output plugins.
# drop_original = false
# # Count the occurance of values in fields.
# [[aggregators.valuecounter]]
# ## General Aggregator Arguments:
# ## The period on which to flush & clear the aggregator.
# period = "30s"
# ## If true, the original metric will be dropped by the
# ## aggregator and will not get sent to the output plugins.
# drop_original = false
# ## The fields for which the values will be counted
# fields = []
###############################################################################
# INPUT PLUGINS #
###############################################################################
# Read metrics about cpu usage
[[inputs.cpu]]
## Whether to report per-cpu stats or not
percpu = true
## Whether to report total system cpu stats or not
totalcpu = true
## If true, collect raw CPU time metrics.
collect_cpu_time = false
## If true, compute and report the sum of all non-idle CPU states.
report_active = false
# Read metrics about disk usage by mount point
[[inputs.disk]]
## By default stats will be gathered for all mount points.
## Set mount_points will restrict the stats to only the specified mount points.
# mount_points = ["/"]
## Ignore mount points by filesystem type.
ignore_fs = ["tmpfs", "devtmpfs", "devfs", "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'
# 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]]
# no configuration
# # Gather ActiveMQ metrics
# [[inputs.activemq]]
# ## Required ActiveMQ Endpoint
# # server = "192.168.50.10"
#
# ## Required ActiveMQ port
# # 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
# # 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
# # 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
# # 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
# # Read metrics of bcache from stats_total and dirty_data
# [[inputs.bcache]]
# ## Bcache sets path
# ## If not specified, then default is:
# bcachePath = "/sys/fs/bcache"
#
# ## By default, telegraf gather stats for all bcache devices
# ## Setting devices will restrict the stats to the specified
# ## bcache devices.
# bcacheDevs = ["bcache0"]
# # Collects Beanstalkd server and tubes stats
# [[inputs.beanstalkd]]
# ## Server to collect data from
# server = "localhost:11300"
#
# ## List of tubes to gather stats about.
# ## If no tubes specified then data gathered for each tube on server reported by list-tubes command
# tubes = ["notifications"]
# # 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 and OSD 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"
#
# ## suffix used to identify socket files
# socket_suffix = "asok"
#
# ## Ceph user to authenticate as
# ceph_user = "client.admin"
#
# ## Ceph configuration to use to locate the cluster
# ceph_config = "/etc/ceph/ceph.conf"
#
# ## Whether to gather statistics via the admin socket
# gather_admin_socket_stats = true
#
# ## Whether to gather statistics via ceph commands
# gather_cluster_stats = false
# # Read specific statistics per cgroup
# [[inputs.cgroup]]
# ## Directories in which to look for files, globs are supported.
# ## Consider restricting paths to the set of cgroups you really
# ## want to monitor if you have a large number of cgroups, to avoid
# ## any cardinality issues.
# # paths = [
# # "/cgroup/memory",
# # "/cgroup/memory/child1",
# # "/cgroup/memory/child2/*",
# # ]
# ## cgroup stat fields, as file names, globs are supported.
# ## these file names are appended to each path from above.
# # files = ["memory.*usage*", "memory.limit_in_bytes"]
# # Get standard chrony metrics, requires chronyc executable.
# [[inputs.chrony]]
# ## If true, chronyc tries to perform a DNS lookup for the time server.
# # dns_lookup = false
# # Pull Metric Statistics from Amazon CloudWatch
# [[inputs.cloudwatch]]
# ## Amazon Region
# region = "us-east-1"
#
# ## Amazon Credentials
# ## Credentials are loaded in the following order
# ## 1) Assumed credentials via STS if role_arn is specified
# ## 2) explicit credentials from 'access_key' and 'secret_key'
# ## 3) shared profile from 'profile'
# ## 4) environment variables
# ## 5) shared credentials file
# ## 6) EC2 Instance Profile
# #access_key = ""
# #secret_key = ""
# #token = ""
# #role_arn = ""
# #profile = ""
# #shared_credential_file = ""
#
# ## Endpoint to make request against, the correct endpoint is automatically
# ## determined and this option should only be set if you wish to override the
# ## default.
# ## ex: endpoint_url = "http://localhost:8000"
# # endpoint_url = ""
#
# # The minimum period for Cloudwatch metrics is 1 minute (60s). However not all
# # metrics are made available to the 1 minute period. Some are collected at
# # 3 minute, 5 minute, or larger intervals. See https://aws.amazon.com/cloudwatch/faqs/#monitoring.
# # Note that if a period is configured that is smaller than the minimum for a
# # particular metric, that metric will not be returned by the Cloudwatch API
# # and will not be collected by Telegraf.
# #
# ## Requested CloudWatch aggregation Period (required - must be a multiple of 60s)
# period = "5m"
#
# ## Collection Delay (required - must account for metrics availability via CloudWatch API)
# delay = "5m"
#
# ## Recommended: use metric 'interval' that is a multiple of 'period' to avoid
# ## gaps or overlap in pulled data
# interval = "5m"
#
# ## Configure the TTL for the internal cache of metrics.
# ## Defaults to 1 hr if not specified
# #cache_ttl = "10m"
#
# ## Metric Statistic Namespace (required)
# namespace = "AWS/ELB"
#
# ## Maximum requests per second. Note that the global default AWS rate limit is
# ## 400 reqs/sec, so if you define multiple namespaces, these should add up to a
# ## maximum of 400. Optional - default value is 200.
# ## See http://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_limits.html
# ratelimit = 200
#
# ## Metrics to Pull (optional)
# ## Defaults to all Metrics in Namespace if nothing is provided
# ## Refreshes Namespace available metrics every 1h
# #[[inputs.cloudwatch.metrics]]
# # names = ["Latency", "RequestCount"]
# #
# # ## Dimension filters for Metric. These are optional however all dimensions
# # ## defined for the metric names must be specified in order to retrieve
# # ## the metric statistics.
# # [[inputs.cloudwatch.metrics.dimensions]]
# # name = "LoadBalancerName"
# # value = "p-example"
# # Collects conntrack stats from the configured directories and files.
# [[inputs.conntrack]]
# ## The following defaults would work with multiple versions of conntrack.
# ## Note the nf_ and ip_ filename prefixes are mutually exclusive across
# ## kernel versions, as are the directory locations.
#
# ## Superset of filenames to look for within the conntrack dirs.
# ## Missing files will be ignored.
# files = ["ip_conntrack_count","ip_conntrack_max",
# "nf_conntrack_count","nf_conntrack_max"]
#
# ## Directories to search within for the conntrack files above.
# ## Missing directrories will be ignored.
# dirs = ["/proc/sys/net/ipv4/netfilter","/proc/sys/net/netfilter"]
# # Gather health check statuses from services registered in Consul
# [[inputs.consul]]
# ## Consul server address
# # address = "localhost"
#
# ## URI scheme for the Consul server, one of "http", "https"
# # scheme = "http"
#
# ## ACL token used in every request
# # token = ""
#
# ## HTTP Basic Authentication username and password.
# # username = ""
# # password = ""
#
# ## Data centre to query the health checks from
# # datacentre = ""
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = true
#
# ## Consul checks' tag splitting
# # When tags are formatted like "key:value" with ":" as a delimiter then
# # they will be splitted and reported as proper key:value in Telegraf
# # tag_delimiter = ":"
# # Read metrics from one or many couchbase clusters
# [[inputs.couchbase]]
# ## specify servers via a url matching:
# ## [protocol://][:password]@address[:port]
# ## e.g.
# ## http://couchbase-0.example.com/
# ## http://admin: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"]
# # 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"]
# # 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.
# ## Posible 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 = []
#
# ## 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 = []
#
# ## Timeout for docker list, info, and stats commands
# timeout = "5s"
#
# ## Whether to report for each container per-device blkio (8:0, 8:1...) and
# ## network (eth0, eth1, ...) stats or not
# perdevice = true
# ## Whether to report for each container total blkio and network stats or not
# total = false
# ## Which environment variables should we use as a tag
# ##tag_env = ["JAVA_HOME", "HEAP_SIZE"]
#
# ## docker labels to include and exclude as tags. Globs accepted.
# ## Note that an empty array for both will include all labels as tags
# docker_label_include = []
# docker_label_exclude = []
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = false
# # Read statistics from one or many dovecot servers
# [[inputs.dovecot]]
# ## specify dovecot servers via an address:port list
# ## e.g.
# ## localhost:24242
# ##
# ## If no servers are specified, then localhost is used as the host.
# servers = ["localhost:24242"]
# ## Type is one of "user", "domain", "ip", or "global"
# type = "global"
# ## Wildcard matches like "*.com". An empty string "" is same as "*"
# ## If type = "ip" filters should be <IP/network>
# filters = [""]
# # Read 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 from the
# ## Master node.
# cluster_stats = false
#
# ## 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"]
#
# ## 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 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"
# # Reload and gather from file[s] on telegraf's interval.
# [[inputs.file]]
# ## Files to parse each interval.
# ## 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 read the apache log file
# files = ["/var/log/apache/access.log"]
#
# ## 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.
# directory = "/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
#
# ## Only count files that are at least this size in bytes. If size is
# ## a negative number, only count files that are smaller than the
# ## absolute value of size. Defaults to 0.
# size = 0
#
# ## 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 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",
# ]
# # 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 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
#
# ## Amount of time allowed to complete the HTTP request
# # timeout = "5s"
#
# ## 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]]
# ## Server address (default http://localhost)
# # address = "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 HTTP Request Body
# # body = '''
# # {'fake':'data'}
# # '''
#
# ## Optional substring or regex match in body of the response
# # response_string_match = "\"service_status\": \"up\""
# # response_string_match = "ok"
# # response_string_match = "\".*_status\".?:.?\"up\""
#
# ## 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"
# # 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 (default: "https://localhost:5665")
# # server = "https://localhost:5665"
#
# ## Required Icinga2 object type ("services" or "hosts, default "services")
# # 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
# # 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"
# ]
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = false
#
# ## http request & header timeout
# timeout = "5s"
# # Collect statistics about itself
# [[inputs.internal]]
# ## If true, collect telegraf memory stats.
# # collect_memstats = true
# # This plugin gathers interrupts data from /proc/interrupts and /proc/softirqs.
# [[inputs.interrupts]]
# ## 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"
# ##
# ## optionally force session privilege level. Can be CALLBACK, USER, OPERATOR, ADMINISTRATOR
# # privilege = "ADMINISTRATOR"
# ##
# ## optionally specify one or more servers via a url matching
# ## [username[:password]@][protocol[(address)]]
# ## e.g.
# ## root:passwd@lan(127.0.0.1)
# ##
# ## if no servers are specified, local machine sensor stats will be queried
# ##
# # servers = ["USERID:PASSW0RD@lan(192.168.1.1)"]
#
# ## Recommended: use metric 'interval' that is a multiple of 'timeout' to avoid
# ## gaps or overlap in pulled data
# interval = "30s"
#
# ## Timeout for the ipmitool command to complete
# timeout = "20s"
#
# ## Schema Version: (Optional, defaults to version 1)
# metric_version = 2
# # Gather packets and bytes counters from Linux ipsets
# [[inputs.ipset]]
# ## By default, we only show sets which have already matched at least 1 packet.
# ## set include_unmatched_sets = true to gather them all.
# include_unmatched_sets = false
# ## Adjust your sudo settings appropriately if using this option ("sudo ipset save")
# use_sudo = false
# ## The default timeout of 1s for ipset execution can be overridden here:
# # timeout = "1s"
# # Gather packets and bytes throughput from iptables
# [[inputs.iptables]]
# ## iptables require root access on most systems.
# ## Setting 'use_sudo' to true will make use of sudo to run iptables.
# ## Users must configure sudo to allow telegraf user to run iptables with no password.
# ## iptables can be restricted to only list command "iptables -nvL".
# use_sudo = false
# ## Setting 'use_lock' to true runs iptables with the "-w" option.
# ## Adjust your sudo settings appropriately if using this option ("iptables -wnvl")
# use_lock = false
# ## Define an alternate executable, such as "ip6tables". Default is "iptables".
# # binary = "ip6tables"
# ## defines the table to monitor:
# table = "filter"
# ## defines the chains to monitor.
# ## NOTE: iptables rules without a comment will not be monitored.
# ## Read the plugin documentation for more information.
# chains = [ "INPUT" ]
# # Read JMX metrics through Jolokia
# [[inputs.jolokia]]
# # DEPRECATED: the jolokia plugin has been deprecated in favor of the
# # jolokia2 plugin
# # see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/jolokia2
#
# ## This is the context root used to compose the jolokia url
# ## NOTE that Jolokia requires a trailing slash at the end of the context root
# ## NOTE that your jolokia security policy must allow for POST requests.
# context = "/jolokia/"
#
# ## This specifies the mode used
# # mode = "proxy"
# #
# ## When in proxy mode this section is used to specify further
# ## proxy address configurations.
# ## Remember to change host address to fit your environment.
# # [inputs.jolokia.proxy]
# # host = "127.0.0.1"
# # port = "8080"
#
# ## Optional http timeouts
# ##
# ## response_header_timeout, if non-zero, specifies the amount of time to wait
# ## for a server's response headers after fully writing the request.
# # response_header_timeout = "3s"
# ##
# ## client_timeout specifies a time limit for requests made by this client.
# ## Includes connection time, any redirects, and reading the response body.
# # client_timeout = "4s"
#
# ## Attribute delimiter
# ##
# ## When multiple attributes are returned for a single
# ## [inputs.jolokia.metrics], the field name is a concatenation of the metric
# ## name, and the attribute name, separated by the given delimiter.
# # delimiter = "_"
#
# ## List of servers exposing jolokia read service
# [[inputs.jolokia.servers]]
# name = "as-server-01"
# host = "127.0.0.1"
# port = "8080"
# # username = "myuser"
# # password = "mypassword"
#
# ## List of metrics collected on above servers
# ## Each metric consists in a name, a jmx path and either
# ## a pass or drop slice attribute.
# ## This collect all heap memory usage metrics.
# [[inputs.jolokia.metrics]]
# name = "heap_memory_usage"
# mbean = "java.lang:type=Memory"
# attribute = "HeapMemoryUsage"
#
# ## This collect thread counts metrics.
# [[inputs.jolokia.metrics]]
# name = "thread_count"
# mbean = "java.lang:type=Threading"
# attribute = "TotalStartedThreadCount,ThreadCount,DaemonThreadCount,PeakThreadCount"
#
# ## This collect number of class loaded/unloaded counts metrics.
# [[inputs.jolokia.metrics]]
# name = "class_count"
# mbean = "java.lang:type=ClassLoading"
# attribute = "LoadedClassCount,UnloadedClassCount,TotalLoadedClassCount"
# # Read JMX metrics from a Jolokia REST agent endpoint
# [[inputs.jolokia2_agent]]
# # default_tag_prefix = ""
# # default_field_prefix = ""
# # default_field_separator = "."
#
# # Add agents URLs to query
# urls = ["http://localhost:8080/jolokia"]
# # username = ""
# # password = ""
# # response_timeout = "5s"
#
# ## Optional TLS config
# # tls_ca = "/var/private/ca.pem"
# # tls_cert = "/var/private/client.pem"
# # tls_key = "/var/private/client-key.pem"
# # insecure_skip_verify = false
#
# ## Add metrics to read
# [[inputs.jolokia2_agent.metric]]
# name = "java_runtime"
# mbean = "java.lang:type=Runtime"
# paths = ["Uptime"]
# # Read JMX metrics from a Jolokia REST proxy endpoint
# [[inputs.jolokia2_proxy]]
# # default_tag_prefix = ""
# # default_field_prefix = ""
# # default_field_separator = "."
#
# ## Proxy agent
# url = "http://localhost:8080/jolokia"
# # username = ""
# # password = ""
# # response_timeout = "5s"
#
# ## Optional TLS config
# # tls_ca = "/var/private/ca.pem"
# # tls_cert = "/var/private/client.pem"
# # tls_key = "/var/private/client-key.pem"
# # insecure_skip_verify = false
#
# ## Add proxy targets to query
# # default_target_username = ""
# # default_target_password = ""
# [[inputs.jolokia2_proxy.target]]
# url = "service:jmx:rmi:///jndi/rmi://targethost:9999/jmxrmi"
# # username = ""
# # password = ""
#
# ## Add metrics to read
# [[inputs.jolokia2_proxy.metric]]
# name = "java_runtime"
# mbean = "java.lang:type=Runtime"
# paths = ["Uptime"]
# # Read Kapacitor-formatted JSON metrics from one or more HTTP endpoints
# [[inputs.kapacitor]]
# ## Multiple URLs from which to read Kapacitor-formatted JSON
# ## Default is "http://localhost:9092/kapacitor/v1/debug/vars".
# urls = [
# "http://localhost:9092/kapacitor/v1/debug/vars"
# ]
#
# ## Time limit for http requests
# timeout = "5s"
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = false
# # Get kernel statistics from /proc/vmstat
# [[inputs.kernel_vmstat]]
# # no configuration
# # Read status information from one or more Kibana servers
# [[inputs.kibana]]
# ## specify a list of one or more Kibana servers
# servers = ["http://localhost:5601"]
#
# ## Timeout for HTTP requests
# timeout = "5s"
#
# ## HTTP Basic Auth credentials
# # username = "username"
# # password = "pa$$word"
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = false
# # Read metrics from the kubernetes kubelet api
# [[inputs.kubernetes]]
# ## URL for the kubelet
# url = "http://1.1.1.1:10255"
#
# ## Use bearer token for authorization
# # bearer_token = /path/to/bearer/token
#
# ## 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 from local Lustre service on OST, MDS
# [[inputs.lustre2]]
# ## An array of /proc globs to search for Lustre stats
# ## If not specified, the default will work on Lustre 2.5.x
# ##
# # ost_procfiles = [
# # "/proc/fs/lustre/obdfilter/*/stats",
# # "/proc/fs/lustre/osd-ldiskfs/*/stats",
# # "/proc/fs/lustre/obdfilter/*/job_stats",
# # ]
# # mds_procfiles = [
# # "/proc/fs/lustre/mdt/*/md_stats",
# # "/proc/fs/lustre/mdt/*/job_stats",
# # ]
# # Gathers metrics from the /3.0/reports MailChimp API
# [[inputs.mailchimp]]
# ## MailChimp API key
# ## get from https://admin.mailchimp.com/account/api/
# api_key = "" # required
# ## Reports for campaigns sent more than days_old ago will not be collected.
# ## 0 means collect all.
# days_old = 0
# ## Campaign ID to get, if empty gets all campaigns, this option overrides days_old
# # campaign_id = ""
# # 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",
# "tasks",
# "messages",
# "evqueue",
# "registrar",
# ]
# ## 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]]
# ## server address for minecraft
# # server = "localhost"
# ## port for RCON
# # port = "25575"
# ## password RCON for mincraft server
# # password = ""
# # 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"]
#
# ## When true, collect per database stats
# # gather_perdb_stats = 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
# # 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
#
# ## 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
# #
# ## if the list is empty, then metrics are gathered from all databasee 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 = true
# #
# ## gather user statistics from INFORMATION_SCHEMA.USER_STATISTICS
# gather_user_statistics = true
# #
# ## gather auto_increment columns and max values from information schema
# gather_info_schema_auto_inc = true
# #
# ## gather metrics from INFORMATION_SCHEMA.INNODB_METRICS
# gather_innodb_metrics = true
# #
# ## gather metrics from SHOW SLAVE STATUS command output
# gather_slave_status = true
# #
# ## gather metrics from SHOW BINARY LOGS command output
# gather_binary_logs = false
# #
# ## 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
# #
# ## Some queries we may want to run less often (such as SHOW GLOBAL VARIABLES)
# interval_slow = "30m"
#
# ## 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"
# # 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
# # fieldexclude = ["result_type", "string_found"]
# # Read TCP metrics such as established, time wait and sockets counts.
# [[inputs.netstat]]
# # no configuration
# # Read Nginx's basic status information (ngx_http_stub_status_module)
# [[inputs.nginx]]
# # An array of Nginx stub_status URI to gather stats.
# urls = ["http://localhost/server_status"]
#
# ## Optional TLS Config
# tls_ca = "/etc/telegraf/ca.pem"
# tls_cert = "/etc/telegraf/cert.cer"
# tls_key = "/etc/telegraf/key.key"
# ## Use TLS but skip chain & host verification
# insecure_skip_verify = false
#
# # HTTP response timeout (default: 5s)
# response_timeout = "5s"
# # Read Nginx Plus' full status information (ngx_http_status_module)
# [[inputs.nginx_plus]]
# ## An array of ngx_http_status_module or status URI to gather stats.
# urls = ["http://localhost/status"]
#
# # HTTP response timeout (default: 5s)
# response_timeout = "5s"
# # Read NSQ topic and channel statistics.
# [[inputs.nsq]]
# ## An array of NSQD HTTP API endpoints
# endpoints = ["http://localhost:4151"]
# # Collect kernel snmp counters and network interface statistics
# [[inputs.nstat]]
# ## file paths for proc files. If empty default paths will be used:
# ## /proc/net/netstat, /proc/net/snmp, /proc/net/snmp6
# ## These can also be overridden with env variables, see README.
# proc_net_netstat = "/proc/net/netstat"
# proc_net_snmp = "/proc/net/snmp"
# proc_net_snmp6 = "/proc/net/snmp6"
# ## dump metrics with 0 values too
# dump_zeros = true
# # Get standard NTP query metrics, requires ntpq executable.
# [[inputs.ntpq]]
# ## If false, set the -n ntpq flag. Can reduce metric gather time.
# dns_lookup = true
# # Pulls statistics from nvidia GPUs attached to the host
# [[inputs.nvidia_smi]]
# ## Optional: path to nvidia-smi binary, defaults to $PATH via exec.LookPath
# # bin_path = "/usr/bin/nvidia-smi"
#
# ## Optional: timeout for GPU polling
# # timeout = "5s"
# # 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
# # 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 overriden with (in milliseconds):
# timeout = 1000
# # 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 remove host
# ## urls = ["http://192.168.1.20/status", "/tmp/fpm.sock"]
# urls = ["http://localhost/status"]
# # Ping given url(s) and return statistics
# [[inputs.ping]]
# ## List of urls to ping
# urls = ["example.org"]
#
# ## Number of pings to send per collection (ping -c <COUNT>)
# # count = 1
#
# ## Interval, in s, at which to ping. 0 == default (ping -i <PING_INTERVAL>)
# ## Not available in Windows.
# # ping_interval = 1.0
#
# ## Per-ping timeout, in s. 0 == no timeout (ping -W <TIMEOUT>)
# # timeout = 1.0
#
# ## Total-ping deadline, in s. 0 == no deadline (ping -w <DEADLINE>)
# # deadline = 10
#
# ## Interface or source address to send ping from (ping -I <INTERFACE/SRC_ADDR>)
# ## on Darwin and Freebsd only source address possible: (ping -S <SRC_ADDR>)
# # interface = ""
# # Measure postfix queue statistics
# [[inputs.postfix]]
# ## Postfix queue directory. If not provided, telegraf will try to use
# ## 'postconf -h queue_directory' to determine it.
# # queue_directory = "/var/spool/postfix"
# # Read metrics from one or many PowerDNS servers
# [[inputs.powerdns]]
# ## An array of sockets to gather stats about.
# ## Specify a path to unix socket.
# unix_sockets = ["/var/run/pdns.controlsocket"]
# # Monitor process cpu and memory usage
# [[inputs.procstat]]
# ## PID file to monitor process
# pid_file = "/var/run/nginx.pid"
# ## executable name (ie, pgrep <exe>)
# # exe = "nginx"
# ## pattern as argument for pgrep (ie, pgrep -f <pattern>)
# # pattern = "nginx"
# ## user as argument for pgrep (ie, pgrep -u <user>)
# # user = "nginx"
# ## Systemd unit name
# # systemd_unit = "nginx.service"
# ## CGroup name or path
# # cgroup = "systemd/system.slice/nginx.service"
#
# ## override for process_name
# ## This is optional; default is sourced from /proc/<pid>/status
# # process_name = "bar"
#
# ## Field name prefix
# # prefix = ""
#
# ## Add PID as a tag instead of a field; useful to differentiate between
# ## processes whose tags are otherwise the same. Can create a large number
# ## of series, use judiciously.
# # 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"
# # Read metrics from one or many prometheus clients
# [[inputs.prometheus]]
# ## An array of urls to scrape metrics from.
# urls = ["http://localhost:9100/metrics"]
#
# ## An array of Kubernetes services to scrape metrics from.
# # kubernetes_services = ["http://my-service-dns.my-namespace:9100/metrics"]
#
# ## Use bearer token for authorization
# # bearer_token = /path/to/bearer/token
#
# ## 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
# # Reads last_run_summary.yaml file and converts to measurments
# [[inputs.puppetagent]]
# ## Location of puppet last run summary file
# location = "/var/lib/puppet/state/last_run_summary.yaml"
# # Reads metrics from RabbitMQ servers via the Management Plugin
# [[inputs.rabbitmq]]
# ## Management Plugin url. (default: http://localhost:15672)
# # url = "http://localhost:15672"
# ## Tag added to rabbitmq_overview series; deprecated: use tags
# # name = "rmq-server-1"
# ## Credentials
# # username = "guest"
# # password = "guest"
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = false
#
# ## Optional request timeouts
# ##
# ## ResponseHeaderTimeout, if non-zero, specifies the amount of time to wait
# ## for a server's response headers after fully writing the request.
# # header_timeout = "3s"
# ##
# ## client_timeout specifies a time limit for requests made by this client.
# ## Includes connection time, any redirects, and reading the response body.
# # client_timeout = "4s"
#
# ## A list of nodes to gather as the rabbitmq_node measurement. If not
# ## specified, metrics for all nodes are gathered.
# # nodes = ["rabbit@node1", "rabbit@node2"]
#
# ## A list of queues to gather as the rabbitmq_queue measurement. If not
# ## specified, metrics for all queues are gathered.
# # queues = ["telegraf"]
#
# ## A list of exchanges to gather as the rabbitmq_exchange measurement. If not
# ## specified, metrics for all exchanges are gathered.
# # exchanges = ["telegraf"]
#
# ## Queues to include and exclude. Globs accepted.
# ## Note that an empty array for both will include all queues
# queue_name_include = []
# queue_name_exclude = []
# # 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"]
# # 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"]
#
# ## 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"
# # Monitor sensors, requires lm-sensors package
# [[inputs.sensors]]
# ## Remove numbers from field names.
# ## If true, a field name like 'temp1_input' will be changed to 'temp_input'.
# # remove_numbers = true
#
# ## Timeout is the maximum amount of time that the sensors command can run.
# # timeout = "5s"
# # Read metrics from storage devices supporting S.M.A.R.T.
# [[inputs.smart]]
# ## Optionally specify the path to the smartctl executable
# # path = "/usr/bin/smartctl"
# #
# ## On most platforms smartctl requires root access.
# ## Setting 'use_sudo' to true will make use of sudo to run smartctl.
# ## Sudo must be configured to to allow the telegraf user to run smartctl
# ## with out password.
# # use_sudo = false
# #
# ## Skip checking disks in this power mode. Defaults to
# ## "standby" to not wake up disks that have stoped 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 detailed metrics for each SMART Attribute.
# ## Defaults to "false"
# ##
# # attributes = false
# #
# ## Optionally specify devices to exclude from reporting.
# # excludes = [ "/dev/pass6" ]
# #
# ## Optionally specify devices and device type, if unset
# ## a scan (smartctl --scan) for S.M.A.R.T. devices will
# ## done and all found will be included except for the
# ## excluded in excludes.
# # devices = [ "/dev/ada0 -d atacam" ]
# # Retrieves SNMP values from remote agents
# [[inputs.snmp]]
# agents = [ "127.0.0.1:161" ]
# ## Timeout for each SNMP query.
# timeout = "5s"
# ## Number of retries to attempt within timeout.
# retries = 3
# ## SNMP version, values can be 1, 2, or 3
# version = 2
#
# ## SNMP community string.
# community = "public"
#
# ## The GETBULK max-repetitions parameter
# max_repetitions = 10
#
# ## SNMPv3 auth parameters
# #sec_name = "myuser"
# #auth_protocol = "md5" # Values: "MD5", "SHA", ""
# #auth_password = "pass"
# #sec_level = "authNoPriv" # Values: "noAuthNoPriv", "authNoPriv", "authPriv"
# #context_name = ""
# #priv_protocol = "" # Values: "DES", "AES", ""
# #priv_password = ""
#
# ## measurement name
# name = "system"
# [[inputs.snmp.field]]
# name = "hostname"
# oid = ".1.0.0.1.1"
# [[inputs.snmp.field]]
# name = "uptime"
# oid = ".1.0.0.1.2"
# [[inputs.snmp.field]]
# name = "load"
# oid = ".1.0.0.1.3"
# [[inputs.snmp.field]]
# oid = "HOST-RESOURCES-MIB::hrMemorySize"
#
# [[inputs.snmp.table]]
# ## measurement name
# name = "remote_servers"
# inherit_tags = [ "hostname" ]
# [[inputs.snmp.table.field]]
# name = "server"
# oid = ".1.0.0.0.1.0"
# is_tag = true
# [[inputs.snmp.table.field]]
# name = "connections"
# oid = ".1.0.0.0.1.1"
# [[inputs.snmp.table.field]]
# name = "latency"
# oid = ".1.0.0.0.1.2"
#
# [[inputs.snmp.table]]
# ## auto populate table's fields using the MIB
# oid = "HOST-RESOURCES-MIB::hrNetworkTable"
# # 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"]
# # 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.
# # servers = [
# # "Server=192.168.1.10;Port=1433;User Id=<user>;Password=<pw>;app name=telegraf;log=1;",
# # ]
#
# ## Optional parameter, setting this to 2 will use a new version
# ## of the collection queries that break compatibility with the original
# ## dashboards.
# query_version = 2
#
# ## If you are using AzureDB, setting this to true will gather resource utilization metrics
# # azuredb = false
#
# ## If you would like to exclude some of the metrics queries, list them here
# ## Possible choices:
# ## - PerformanceCounters
# ## - WaitStatsCategorized
# ## - DatabaseIO
# ## - DatabaseProperties
# ## - CPUHistory
# ## - DatabaseSize
# ## - DatabaseStats
# ## - MemoryClerk
# ## - VolumeSpace
# ## - PerformanceMetrics
# # exclude_query = [ 'DatabaseIO' ]
# # Sysstat metrics collector
# [[inputs.sysstat]]
# ## Path to the sadc command.
# #
# ## Common Defaults:
# ## Debian/Ubuntu: /usr/lib/sysstat/sadc
# ## Arch: /usr/lib/sa/sadc
# ## RHEL/CentOS: /usr/lib64/sa/sadc
# sadc_path = "/usr/lib/sa/sadc" # required
# #
# #
# ## Path to the sadf command, if it is not in PATH
# # sadf_path = "/usr/bin/sadf"
# #
# #
# ## Activities is a list of activities, that are passed as argument to the
# ## sadc collector utility (e.g: DISK, SNMP etc...)
# ## The more activities that are added, the more data is collected.
# # activities = ["DISK"]
# #
# #
# ## Group metrics to measurements.
# ##
# ## If group is false each metric will be prefixed with a description
# ## and represents itself a measurement.
# ##
# ## If Group is true, corresponding metrics are grouped to a single measurement.
# # group = true
# #
# #
# ## Options for the sadf command. The values on the left represent the sadf
# ## options and the values on the right their description (which are used for
# ## grouping and prefixing metrics).
# ##
# ## Run 'sar -h' or 'man sar' to find out the supported options for your
# ## sysstat version.
# [inputs.sysstat.options]
# -C = "cpu"
# -B = "paging"
# -b = "io"
# -d = "disk" # requires DISK activity
# "-n ALL" = "network"
# "-P ALL" = "per_cpu"
# -q = "queue"
# -R = "mem"
# -r = "mem_util"
# -S = "swap_util"
# -u = "cpu_util"
# -v = "inode"
# -W = "swap"
# -w = "task"
# # -H = "hugepages" # only available for newer linux distributions
# # "-I ALL" = "interrupts" # requires INT activity
# #
# #
# ## Device tags can be used to add additional tags for devices.
# ## For example the configuration below adds a tag vg with value rootvg for
# ## all metrics with sda devices.
# # [[inputs.sysstat.device_tags.sda]]
# # vg = "rootvg"
# # 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 timeout of 1s can be overriden 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 change to
# ## true in a future version. It is recommended to set to true on new
# ## deployments.
# thread_as_tag = false
# # A plugin to collect stats from Varnish HTTP Cache
# [[inputs.varnish]]
# ## If running as a restricted user you can prepend sudo for additional access:
# #use_sudo = false
#
# ## The default location of the varnishstat binary can be overridden with:
# binary = "/usr/bin/varnishstat"
#
# ## By default, telegraf gather stats for 3 metric points.
# ## Setting stats will override the defaults shown below.
# ## Glob matching can be used, ie, stats = ["MAIN.*"]
# ## stats may also be set to ["*"], which will collect all stats
# stats = ["MAIN.cache_hit", "MAIN.cache_miss", "MAIN.uptime"]
#
# ## Optional name for the varnish instance (or working directory) to query
# ## Usually appened after -n in varnish cli
# # instance_name = instanceName
# # Reads metrics from a SSL certificate
# [[inputs.x509_cert]]
# ## List certificate sources
# sources = ["/etc/ssl/certs/ssl-cert-snakeoil.pem", "tcp://example.org:443"]
#
# ## Timeout for SSL connection
# # timeout = "5s"
#
# ## 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 ZFS from arcstats, zfetchstats, vdev_cache_stats, and pools
# [[inputs.zfs]]
# ## ZFS kstat path. Ignored on FreeBSD
# ## If not specified, then default is:
# # kstatPath = "/proc/spl/kstat/zfs"
#
# ## By default, telegraf gather all zfs stats
# ## If not specified, then default is:
# # kstatMetrics = ["arcstats", "zfetchstats", "vdev_cache_stats"]
# ## For Linux, the default is:
# # kstatMetrics = ["abdstats", "arcstats", "dnodestats", "dbufcachestats",
# # "dmu_tx", "fm", "vdev_mirror_stats", "zfetchstats", "zil"]
# ## By default, don't gather zpool stats
# # poolMetrics = false
# # Reads 'mntr' stats from one or many zookeeper servers
# [[inputs.zookeeper]]
# ## An array of address to gather stats about. Specify an ip or hostname
# ## with port. ie localhost:2181, 10.0.0.1:2181, etc.
#
# ## If no servers are specified, then localhost is used as the host.
# ## If no port is specified, 2181 is used
# servers = [":2181"]
#
# ## Timeout for metric collections from all servers. Minimum timeout is "1s".
# # timeout = "5s"
#
# ## Optional TLS Config
# # enable_tls = true
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## If false, skip chain & host verification
# # insecure_skip_verify = true
###############################################################################
# SERVICE INPUT PLUGINS #
###############################################################################
# # AMQP consumer plugin
# [[inputs.amqp_consumer]]
# ## Broker to consume from.
# ## deprecated in 1.7; use the brokers option
# # url = "amqp://localhost:5672/influxdb"
#
# ## Brokers to consume from. If multiple brokers are specified a random broker
# ## will be selected anytime a connection is established. This can be
# ## helpful for load balancing when not using a dedicated load balancer.
# brokers = ["amqp://localhost:5672/influxdb"]
#
# ## Authentication credentials for the PLAIN auth_method.
# # username = ""
# # password = ""
#
# ## Exchange to declare and consume from.
# 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_propery" = "timestamp"}
#
# ## AMQP queue name.
# queue = "telegraf"
#
# ## AMQP queue durability can be "transient" or "durable".
# queue_durability = "durable"
#
# ## Binding Key.
# binding_key = "#"
#
# ## Maximum number of messages server should give to the worker.
# # prefetch_count = 50
#
# ## 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
#
# ## 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"
# ]
# # Influx HTTP write listener
# [[inputs.http_listener]]
# ## Address and port to host HTTP 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 536,870,912 bytes (500 mebibytes)
# max_body_size = 0
#
# ## Maximum line size allowed to be sent in bytes.
# ## 0 means to use the default of 65536 bytes (64 kibibytes)
# max_line_size = 0
#
# ## 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"
# # 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",
# ]
#
# ## x509 Certificate to use with TLS connection. If it is not provided, an insecure
# ## channel will be opened with server
# ssl_cert = "/etc/telegraf/cert.pem"
#
# ## 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 topic(s)
# [[inputs.kafka_consumer]]
# ## kafka servers
# brokers = ["localhost:9092"]
# ## topic(s) to consume
# topics = ["telegraf"]
#
# ## 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 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"
#
# ## 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 = 1000000
# # 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
# # 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"
# '''
# # Read metrics from MQTT topic(s)
# [[inputs.mqtt_consumer]]
# ## MQTT broker URLs to be used. The format should be scheme://host:port,
# ## schema can be tcp, ssl, or ws.
# servers = ["tcp://localhost:1883"]
#
# ## 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"
#
# ## Topics to subscribe to
# topics = [
# "telegraf/host01/cpu",
# "telegraf/+/mem",
# "sensors/#",
# ]
#
# # if true, messages that can't be delivered while the subscriber is offline
# # will be delivered when it comes back (such as on service restart).
# # NOTE: if true, client_id MUST be set
# persistent_session = false
# # If empty, a random client ID will be generated.
# client_id = ""
#
# ## username and password to connect MQTT server.
# # username = "telegraf"
# # password = "metricsmetricsmetricsmetrics"
#
# ## Optional TLS Config
# # tls_ca = "/etc/telegraf/ca.pem"
# # tls_cert = "/etc/telegraf/cert.pem"
# # tls_key = "/etc/telegraf/key.pem"
# ## Use TLS but skip chain & host verification
# # insecure_skip_verify = false
#
# ## Data format to consume.
# ## Each data format has its own unique set of configuration options, read
# ## more about them here:
# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
# data_format = "influx"
# # Read metrics from NATS subject(s)
# [[inputs.nats_consumer]]
# ## urls of NATS servers
# # servers = ["nats://localhost:4222"]
# ## Use Transport Layer Security
# # secure = false
# ## subject(s) to consume
# # subjects = ["telegraf"]
# ## name a queue group
# # queue_group = "telegraf_consumers"
#
# ## 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
#
# ## 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
#
# ## Data format to consume.
# ## Each data format has its own unique set of configuration options, read
# ## more about them here:
# ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
# data_format = "influx"
# # Read metrics from one or many pgbouncer servers
# [[inputs.pgbouncer]]
# ## specify address via a url matching:
# ## postgres://[pqgotest[:password]]@localhost[/dbname]\
# ## ?sslmode=[disable|verify-ca|verify-full]
# ## or a simple string:
# ## host=localhost user=pqotest 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=pqotest 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=pqotest 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").
# #
# ## Structure :
# ## [[inputs.postgresql_extensible.query]]
# ## sqlquery string
# ## version string
# ## withdbname boolean
# ## tagvalue string (comma separated)
# ## measurement string
# [[inputs.postgresql_extensible.query]]
# sqlquery="SELECT * FROM pg_stat_database"
# version=901
# withdbname=false
# tagvalue=""
# measurement=""
# [[inputs.postgresql_extensible.query]]
# sqlquery="SELECT * FROM pg_stat_bgwriter"
# version=901
# withdbname=false
# tagvalue="postgresql.stats"
# # 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"
#
# ## 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.
# ## 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 = 65535
#
# ## 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"
# # 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 = [90]
#
# ## 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
#
# ## 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
# # Accepts syslog messages per RFC5425
# [[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"
#
# ## Whether to parse in best effort mode or not (default = false).
# ## By default best effort parsing is off.
# # best_effort = false
#
# ## Character to prepend to SD-PARAMs (default = "_").
# ## A syslog message can contain multiple parameters and multiple identifiers within structured data section.
# ## Eg., [id1 name1="val1" name2="val2"][id2 name1="val1" nameA="valA"]
# ## For each combination a field is created.
# ## Its name is created concatenating identifier, sdparam_separator, and parameter name.
# # sdparam_separator = "_"
# # Stream a log file, like the tail -f command
# [[inputs.tail]]
# ## files to tail.
# ## These accept standard unix glob matching rules, but with the addition of
# ## ** as a "super asterisk". ie:
# ## "/var/log/**.log" -> recursively find all .log files in /var/log
# ## "/var/log/*/*.log" -> find all .log files with a parent dir in /var/log
# ## "/var/log/apache.log" -> just tail the apache log file
# ##
# ## See https://github.com/gobwas/glob for more examples
# ##
# files = ["/var/mymetrics.out"]
# ## Read file from beginning.
# from_beginning = false
# ## Whether file is a named pipe
# pipe = false
#
# ## Method used to watch for file updates. Can be either "inotify" or "poll".
# # watch_method = "inotify"
#
# ## 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"
# # 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_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_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",
# ]
# # host_metric_exclude = [] ## Nothing excluded by default
# # host_instances = true ## true by default
#
# ## Clusters
# # cluster_metric_include = [] ## if omitted or empty, all metrics are collected
# # cluster_metric_exclude = [] ## Nothing excluded by default
# # cluster_instances = true ## true by default
#
# ## Datastores
# # datastore_metric_include = [] ## if omitted or empty, all metrics are collected
# # datastore_metric_exclude = [] ## Nothing excluded by default
# # datastore_instances = false ## false by default for Datastores only
#
# ## Datacenters
# 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 for Datastores only
#
# ## Plugin Settings
# ## separator character to use for measurement and field names (default: "_")
# # separator = "_"
#
# ## number of objects to retreive 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 retreive 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
#
# ## whether or not to force discovery of new objects on initial gather call before collecting metrics
# ## when true for large environments this may cause errors for time elapsed while collecting metrics
# ## when false (default) the first collection cycle may result in no or limited metrics while objects are discovered
# # force_discover_on_init = false
#
# ## 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 = "20s"
#
# ## Optional SSL Config
# # ssl_ca = "/path/to/cafile"
# # ssl_cert = "/path/to/certfile"
# # ssl_key = "/path/to/keyfile"
# ## Use SSL but skip chain & host verification
# # insecure_skip_verify = false
# # A Webhooks Event collector
# [[inputs.webhooks]]
# ## Address and port to host Webhook listener on
# service_address = ":1619"
#
# [inputs.webhooks.filestack]
# path = "/filestack"
#
# [inputs.webhooks.github]
# path = "/github"
# # secret = ""
#
# [inputs.webhooks.mandrill]
# path = "/mandrill"
#
# [inputs.webhooks.rollbar]
# path = "/rollbar"
#
# [inputs.webhooks.papertrail]
# path = "/papertrail"
#
# [inputs.webhooks.particle]
# path = "/particle"
# # This plugin implements the Zipkin http server to gather trace and timing data needed to troubleshoot latency problems in microservice architectures.
# [[inputs.zipkin]]
# # path = "/api/v1/spans" # URL path for span data
# # port = 9411 # Port on which Telegraf listens
Reference in New Issue View Git Blame Copy Permalink