113 lines
4.3 KiB
Plaintext
113 lines
4.3 KiB
Plaintext
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# Telegraf Configuration
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#
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# Telegraf is entirely plugin driven. All metrics are gathered from the
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# declared inputs, and sent to the declared outputs.
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#
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# Plugins must be declared in here to be active.
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# To deactivate a plugin, comment out the name and any variables.
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#
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# Use 'telegraf -config telegraf.conf -test' to see what metrics a config
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# file would generate.
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#
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# Environment variables can be used anywhere in this config file, simply surround
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# them with ${}. For strings the variable must be within quotes (ie, "${STR_VAR}"),
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# for numbers and booleans they should be plain (ie, ${INT_VAR}, ${BOOL_VAR})
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# Global tags can be specified here in key="value" format.
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[global_tags]
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# dc = "us-east-1" # will tag all metrics with dc=us-east-1
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# rack = "1a"
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## Environment variables can be used as tags, and throughout the config file
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# user = "$USER"
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# Configuration for telegraf agent
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[agent]
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## Default data collection interval for all inputs
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interval = "10s"
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## Rounds collection interval to 'interval'
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## ie, if interval="10s" then always collect on :00, :10, :20, etc.
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round_interval = true
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## Telegraf will send metrics to outputs in batches of at most
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## metric_batch_size metrics.
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## This controls the size of writes that Telegraf sends to output plugins.
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metric_batch_size = 1000
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## Maximum number of unwritten metrics per output. Increasing this value
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## allows for longer periods of output downtime without dropping metrics at the
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## cost of higher maximum memory usage.
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metric_buffer_limit = 10000
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## Collection jitter is used to jitter the collection by a random amount.
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## Each plugin will sleep for a random time within jitter before collecting.
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## This can be used to avoid many plugins querying things like sysfs at the
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## same time, which can have a measurable effect on the system.
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collection_jitter = "0s"
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## Collection offset is used to shift the collection by the given amount.
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## This can be be used to avoid many plugins querying constraint devices
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## at the same time by manually scheduling them in time.
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# collection_offset = "0s"
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## Default flushing interval for all outputs. Maximum flush_interval will be
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## flush_interval + flush_jitter
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flush_interval = "10s"
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## Jitter the flush interval by a random amount. This is primarily to avoid
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## large write spikes for users running a large number of telegraf instances.
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## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s
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flush_jitter = "0s"
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## Collected metrics are rounded to the precision specified. Precision is
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## specified as an interval with an integer + unit (e.g. 0s, 10ms, 2us, 4s).
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## Valid time units are "ns", "us" (or "µs"), "ms", "s".
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##
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## By default or when set to "0s", precision will be set to the same
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## timestamp order as the collection interval, with the maximum being 1s:
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## ie, when interval = "10s", precision will be "1s"
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## when interval = "250ms", precision will be "1ms"
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##
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## Precision will NOT be used for service inputs. It is up to each individual
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## service input to set the timestamp at the appropriate precision.
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precision = ""
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## Override default hostname, if empty use os.Hostname()
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hostname = ""
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## If set to true, do no set the "host" tag in the telegraf agent.
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omit_hostname = false
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###############################################################################
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# OUTPUT PLUGINS #
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###############################################################################
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[[outputs.influxdb_v2]]
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## The URLs of the InfluxDB cluster nodes.
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##
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## Multiple URLs can be specified for a single cluster, only ONE of the
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## urls will be written to each interval.
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## ex: urls = ["https://us-west-2-1.aws.cloud2.influxdata.com"]
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urls = ["http://${DOCKER_INFLUXDB_INIT_HOST}:8086"]
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## Token for authentication.
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token = "$DOCKER_INFLUXDB_INIT_ADMIN_TOKEN"
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## Organization is the name of the organization you wish to write to; must exist.
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organization = "$DOCKER_INFLUXDB_INIT_ORG"
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## Destination bucket to write into.
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bucket = "$DOCKER_INFLUXDB_INIT_BUCKET"
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[[inputs.kafka_consumer]]
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## Kafka brokers.
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brokers = ["kafka1:9092","kafka2:9092","kafka3:9092"]
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consumer_group = "telegraf"
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## Topics to consume.
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topics = ["random_walk"]
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offset = "newest"
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data_format = "value"
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data_type = "string"
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