chore(inputs_a-l): migrate sample configs into separate files (#11132)
This commit is contained in:
Sebastian Spaink
GitHub
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# Gather ActiveMQ metrics
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[[inputs.activemq]]
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## ActiveMQ WebConsole URL
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url = "http://127.0.0.1:8161"
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## Required ActiveMQ Endpoint
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## deprecated in 1.11; use the url option
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# server = "192.168.50.10"
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# port = 8161
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## Credentials for basic HTTP authentication
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# username = "admin"
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# password = "admin"
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## Required ActiveMQ webadmin root path
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# webadmin = "admin"
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## Maximum time to receive response.
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# response_timeout = "5s"
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## Optional TLS Config
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# tls_ca = "/etc/telegraf/ca.pem"
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# tls_cert = "/etc/telegraf/cert.pem"
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# tls_key = "/etc/telegraf/key.pem"
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## Use TLS but skip chain & host verification
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# insecure_skip_verify = false
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# Read stats from aerospike server(s)
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[[inputs.aerospike]]
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## Aerospike servers to connect to (with port)
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## This plugin will query all namespaces the aerospike
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## server has configured and get stats for them.
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servers = ["localhost:3000"]
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# username = "telegraf"
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# password = "pa$$word"
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## Optional TLS Config
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# enable_tls = false
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# tls_ca = "/etc/telegraf/ca.pem"
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# tls_cert = "/etc/telegraf/cert.pem"
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# tls_key = "/etc/telegraf/key.pem"
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# tls_name = "tlsname"
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## If false, skip chain & host verification
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# insecure_skip_verify = true
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# Feature Options
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# Add namespace variable to limit the namespaces executed on
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# Leave blank to do all
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# disable_query_namespaces = true # default false
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# namespaces = ["namespace1", "namespace2"]
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# Enable set level telemetry
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# query_sets = true # default: false
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# Add namespace set combinations to limit sets executed on
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# Leave blank to do all sets
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# sets = ["namespace1/set1", "namespace1/set2", "namespace3"]
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# Histograms
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# enable_ttl_histogram = true # default: false
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# enable_object_size_linear_histogram = true # default: false
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# by default, aerospike produces a 100 bucket histogram
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# this is not great for most graphing tools, this will allow
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# the ability to squash this to a smaller number of buckets
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# To have a balanced histogram, the number of buckets chosen
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# should divide evenly into 100.
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# num_histogram_buckets = 100 # default: 10
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# Pull Metric Statistics from Aliyun CMS
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[[inputs.aliyuncms]]
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## Aliyun Credentials
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## Credentials are loaded in the following order
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## 1) Ram RoleArn credential
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## 2) AccessKey STS token credential
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## 3) AccessKey credential
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## 4) Ecs Ram Role credential
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## 5) RSA keypair credential
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## 6) Environment variables credential
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## 7) Instance metadata credential
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# access_key_id = ""
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# access_key_secret = ""
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# access_key_sts_token = ""
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# role_arn = ""
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# role_session_name = ""
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# private_key = ""
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# public_key_id = ""
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# role_name = ""
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## Specify the ali cloud region list to be queried for metrics and objects discovery
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## If not set, all supported regions (see below) would be covered, it can provide a significant load on API, so the recommendation here
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## is to limit the list as much as possible. Allowed values: https://www.alibabacloud.com/help/zh/doc-detail/40654.htm
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## Default supported regions are:
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## 21 items: cn-qingdao,cn-beijing,cn-zhangjiakou,cn-huhehaote,cn-hangzhou,cn-shanghai,cn-shenzhen,
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## cn-heyuan,cn-chengdu,cn-hongkong,ap-southeast-1,ap-southeast-2,ap-southeast-3,ap-southeast-5,
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## ap-south-1,ap-northeast-1,us-west-1,us-east-1,eu-central-1,eu-west-1,me-east-1
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##
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## From discovery perspective it set the scope for object discovery, the discovered info can be used to enrich
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## the metrics with objects attributes/tags. Discovery is supported not for all projects (if not supported, then
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## it will be reported on the start - for example for 'acs_cdn' project:
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## 'E! [inputs.aliyuncms] Discovery tool is not activated: no discovery support for project "acs_cdn"' )
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## Currently, discovery supported for the following projects:
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## - acs_ecs_dashboard
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## - acs_rds_dashboard
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## - acs_slb_dashboard
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## - acs_vpc_eip
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regions = ["cn-hongkong"]
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# The minimum period for AliyunCMS metrics is 1 minute (60s). However not all
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# metrics are made available to the 1 minute period. Some are collected at
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# 3 minute, 5 minute, or larger intervals.
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# See: https://help.aliyun.com/document_detail/51936.html?spm=a2c4g.11186623.2.18.2bc1750eeOw1Pv
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# Note that if a period is configured that is smaller than the minimum for a
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# particular metric, that metric will not be returned by the Aliyun OpenAPI
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# and will not be collected by Telegraf.
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#
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## Requested AliyunCMS aggregation Period (required - must be a multiple of 60s)
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period = "5m"
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## Collection Delay (required - must account for metrics availability via AliyunCMS API)
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delay = "1m"
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## Recommended: use metric 'interval' that is a multiple of 'period' to avoid
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## gaps or overlap in pulled data
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interval = "5m"
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## Metric Statistic Project (required)
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project = "acs_slb_dashboard"
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## Maximum requests per second, default value is 200
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ratelimit = 200
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## How often the discovery API call executed (default 1m)
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#discovery_interval = "1m"
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## Metrics to Pull (Required)
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[[inputs.aliyuncms.metrics]]
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## Metrics names to be requested,
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## described here (per project): https://help.aliyun.com/document_detail/28619.html?spm=a2c4g.11186623.6.690.1938ad41wg8QSq
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names = ["InstanceActiveConnection", "InstanceNewConnection"]
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## Dimension filters for Metric (these are optional).
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## This allows to get additional metric dimension. If dimension is not specified it can be returned or
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## the data can be aggregated - it depends on particular metric, you can find details here: https://help.aliyun.com/document_detail/28619.html?spm=a2c4g.11186623.6.690.1938ad41wg8QSq
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##
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## Note, that by default dimension filter includes the list of discovered objects in scope (if discovery is enabled)
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## Values specified here would be added into the list of discovered objects.
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## You can specify either single dimension:
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#dimensions = '{"instanceId": "p-example"}'
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## Or you can specify several dimensions at once:
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#dimensions = '[{"instanceId": "p-example"},{"instanceId": "q-example"}]'
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## Enrichment tags, can be added from discovery (if supported)
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## Notation is <measurement_tag_name>:<JMES query path (https://jmespath.org/tutorial.html)>
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## To figure out which fields are available, consult the Describe<ObjectType> API per project.
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## For example, for SLB: https://api.aliyun.com/#/?product=Slb&version=2014-05-15&api=DescribeLoadBalancers¶ms={}&tab=MOCK&lang=GO
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#tag_query_path = [
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# "address:Address",
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# "name:LoadBalancerName",
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# "cluster_owner:Tags.Tag[?TagKey=='cs.cluster.name'].TagValue | [0]"
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# ]
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## The following tags added by default: regionId (if discovery enabled), userId, instanceId.
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## Allow metrics without discovery data, if discovery is enabled. If set to true, then metric without discovery
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## data would be emitted, otherwise dropped. This cane be of help, in case debugging dimension filters, or partial coverage
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## of discovery scope vs monitoring scope
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#allow_dps_without_discovery = false
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# Query statistics from AMD Graphics cards using rocm-smi binary
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[[inputs.amd_rocm_smi]]
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## Optional: path to rocm-smi binary, defaults to $PATH via exec.LookPath
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# bin_path = "/opt/rocm/bin/rocm-smi"
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## Optional: timeout for GPU polling
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# timeout = "5s"
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# AMQP consumer plugin
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[[inputs.amqp_consumer]]
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## Brokers to consume from. If multiple brokers are specified a random broker
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## will be selected anytime a connection is established. This can be
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## helpful for load balancing when not using a dedicated load balancer.
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brokers = ["amqp://localhost:5672/influxdb"]
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## Authentication credentials for the PLAIN auth_method.
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# username = ""
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# password = ""
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## Name of the exchange to declare. If unset, no exchange will be declared.
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exchange = "telegraf"
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## Exchange type; common types are "direct", "fanout", "topic", "header", "x-consistent-hash".
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# exchange_type = "topic"
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## If true, exchange will be passively declared.
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# exchange_passive = false
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## Exchange durability can be either "transient" or "durable".
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# exchange_durability = "durable"
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## Additional exchange arguments.
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# exchange_arguments = { }
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# exchange_arguments = {"hash_property" = "timestamp"}
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## AMQP queue name.
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queue = "telegraf"
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## AMQP queue durability can be "transient" or "durable".
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queue_durability = "durable"
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## If true, queue will be passively declared.
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# queue_passive = false
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## A binding between the exchange and queue using this binding key is
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## created. If unset, no binding is created.
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binding_key = "#"
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## Maximum number of messages server should give to the worker.
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# prefetch_count = 50
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## Maximum messages to read from the broker that have not been written by an
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## output. For best throughput set based on the number of metrics within
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## each message and the size of the output's metric_batch_size.
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##
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## For example, if each message from the queue contains 10 metrics and the
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## output metric_batch_size is 1000, setting this to 100 will ensure that a
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## full batch is collected and the write is triggered immediately without
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## waiting until the next flush_interval.
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# max_undelivered_messages = 1000
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## Auth method. PLAIN and EXTERNAL are supported
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## Using EXTERNAL requires enabling the rabbitmq_auth_mechanism_ssl plugin as
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## described here: https://www.rabbitmq.com/plugins.html
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# auth_method = "PLAIN"
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## Optional TLS Config
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# tls_ca = "/etc/telegraf/ca.pem"
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# tls_cert = "/etc/telegraf/cert.pem"
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# tls_key = "/etc/telegraf/key.pem"
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## Use TLS but skip chain & host verification
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# insecure_skip_verify = false
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## Content encoding for message payloads, can be set to "gzip" to or
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## "identity" to apply no encoding.
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# content_encoding = "identity"
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## Data format to consume.
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## Each data format has its own unique set of configuration options, read
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## more about them here:
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## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
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data_format = "influx"
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# Read Apache status information (mod_status)
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[[inputs.apache]]
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## An array of URLs to gather from, must be directed at the machine
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## readable version of the mod_status page including the auto query string.
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## Default is "http://localhost/server-status?auto".
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urls = ["http://localhost/server-status?auto"]
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## Credentials for basic HTTP authentication.
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# username = "myuser"
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# password = "mypassword"
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## Maximum time to receive response.
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# response_timeout = "5s"
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## Optional TLS Config
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# tls_ca = "/etc/telegraf/ca.pem"
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# tls_cert = "/etc/telegraf/cert.pem"
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# tls_key = "/etc/telegraf/key.pem"
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## Use TLS but skip chain & host verification
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# insecure_skip_verify = false
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# Monitor APC UPSes connected to apcupsd
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[[inputs.apcupsd]]
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# A list of running apcupsd server to connect to.
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# If not provided will default to tcp://127.0.0.1:3551
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servers = ["tcp://127.0.0.1:3551"]
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## Timeout for dialing server.
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timeout = "5s"
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# Gather metrics from Apache Aurora schedulers
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[[inputs.aurora]]
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## Schedulers are the base addresses of your Aurora Schedulers
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schedulers = ["http://127.0.0.1:8081"]
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## Set of role types to collect metrics from.
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##
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## The scheduler roles are checked each interval by contacting the
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## scheduler nodes; zookeeper is not contacted.
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# roles = ["leader", "follower"]
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## Timeout is the max time for total network operations.
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# timeout = "5s"
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## Username and password are sent using HTTP Basic Auth.
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# username = "username"
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# password = "pa$$word"
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## Optional TLS Config
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# tls_ca = "/etc/telegraf/ca.pem"
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# tls_cert = "/etc/telegraf/cert.pem"
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# tls_key = "/etc/telegraf/key.pem"
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## Use TLS but skip chain & host verification
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# insecure_skip_verify = false
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# Gather Azure Storage Queue metrics
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[[inputs.azure_storage_queue]]
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## Required Azure Storage Account name
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account_name = "mystorageaccount"
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## Required Azure Storage Account access key
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account_key = "storageaccountaccesskey"
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## Set to false to disable peeking age of oldest message (executes faster)
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# peek_oldest_message_age = true
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# Read metrics of bcache from stats_total and dirty_data
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[[inputs.bcache]]
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## Bcache sets path
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## If not specified, then default is:
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bcachePath = "/sys/fs/bcache"
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## By default, Telegraf gather stats for all bcache devices
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## Setting devices will restrict the stats to the specified
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## bcache devices.
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bcacheDevs = ["bcache0"]
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# Collects Beanstalkd server and tubes stats
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[[inputs.beanstalkd]]
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## Server to collect data from
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server = "localhost:11300"
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## List of tubes to gather stats about.
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## If no tubes specified then data gathered for each tube on server reported by list-tubes command
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tubes = ["notifications"]
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# Read metrics exposed by Beat
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[[inputs.beat]]
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## An URL from which to read Beat-formatted JSON
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## Default is "http://127.0.0.1:5066".
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url = "http://127.0.0.1:5066"
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## Enable collection of the listed stats
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## An empty list means collect all. Available options are currently
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## "beat", "libbeat", "system" and "filebeat".
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# include = ["beat", "libbeat", "filebeat"]
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## HTTP method
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# method = "GET"
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## Optional HTTP headers
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# headers = {"X-Special-Header" = "Special-Value"}
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## Override HTTP "Host" header
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# host_header = "logstash.example.com"
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## Timeout for HTTP requests
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# timeout = "5s"
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## Optional HTTP Basic Auth credentials
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# username = "username"
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# password = "pa$$word"
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## Optional TLS Config
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# tls_ca = "/etc/telegraf/ca.pem"
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# tls_cert = "/etc/telegraf/cert.pem"
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# tls_key = "/etc/telegraf/key.pem"
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## Use TLS but skip chain & host verification
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# insecure_skip_verify = false
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# Read BIND nameserver XML statistics
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[[inputs.bind]]
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## An array of BIND XML statistics URI to gather stats.
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## Default is "http://localhost:8053/xml/v3".
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# urls = ["http://localhost:8053/xml/v3"]
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# gather_memory_contexts = false
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# gather_views = false
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## Timeout for http requests made by bind nameserver
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# timeout = "4s"
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# Collect bond interface status, slaves statuses and failures count
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[[inputs.bond]]
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## Sets 'proc' directory path
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## If not specified, then default is /proc
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# host_proc = "/proc"
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## Sets 'sys' directory path
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## If not specified, then default is /sys
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# host_sys = "/sys"
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## By default, telegraf gather stats for all bond interfaces
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## Setting interfaces will restrict the stats to the specified
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## bond interfaces.
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# bond_interfaces = ["bond0"]
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## Tries to collect additional bond details from /sys/class/net/{bond}
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## currently only useful for LACP (mode 4) bonds
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# collect_sys_details = false
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# Collect Kafka topics and consumers status from Burrow HTTP API.
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[[inputs.burrow]]
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## Burrow API endpoints in format "schema://host:port".
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## Default is "http://localhost:8000".
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servers = ["http://localhost:8000"]
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## Override Burrow API prefix.
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## Useful when Burrow is behind reverse-proxy.
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# api_prefix = "/v3/kafka"
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## Maximum time to receive response.
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# response_timeout = "5s"
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## Limit per-server concurrent connections.
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## Useful in case of large number of topics or consumer groups.
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# concurrent_connections = 20
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## Filter clusters, default is no filtering.
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## Values can be specified as glob patterns.
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# clusters_include = []
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# clusters_exclude = []
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## Filter consumer groups, default is no filtering.
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## Values can be specified as glob patterns.
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# groups_include = []
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# groups_exclude = []
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## Filter topics, default is no filtering.
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## Values can be specified as glob patterns.
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# topics_include = []
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# topics_exclude = []
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## Credentials for basic HTTP authentication.
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||||
# 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
|
||||
|
|
@ -0,0 +1,20 @@
|
|||
# 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"
|
||||
]
|
||||
|
|
@ -0,0 +1,42 @@
|
|||
# Collects performance metrics from the MON, OSD, MDS and RGW nodes in a Ceph storage cluster.
|
||||
[[inputs.ceph]]
|
||||
## This is the recommended interval to poll. Too frequent and you will lose
|
||||
## data points due to timeouts during rebalancing and recovery
|
||||
interval = '1m'
|
||||
|
||||
## All configuration values are optional, defaults are shown below
|
||||
|
||||
## location of ceph binary
|
||||
ceph_binary = "/usr/bin/ceph"
|
||||
|
||||
## directory in which to look for socket files
|
||||
socket_dir = "/var/run/ceph"
|
||||
|
||||
## prefix of MON and OSD socket files, used to determine socket type
|
||||
mon_prefix = "ceph-mon"
|
||||
osd_prefix = "ceph-osd"
|
||||
mds_prefix = "ceph-mds"
|
||||
rgw_prefix = "ceph-client"
|
||||
|
||||
## suffix used to identify socket files
|
||||
socket_suffix = "asok"
|
||||
|
||||
## Ceph user to authenticate as, ceph will search for the corresponding keyring
|
||||
## e.g. client.admin.keyring in /etc/ceph, or the explicit path defined in the
|
||||
## client section of ceph.conf for example:
|
||||
##
|
||||
## [client.telegraf]
|
||||
## keyring = /etc/ceph/client.telegraf.keyring
|
||||
##
|
||||
## Consult the ceph documentation for more detail on keyring generation.
|
||||
ceph_user = "client.admin"
|
||||
|
||||
## Ceph configuration to use to locate the cluster
|
||||
ceph_config = "/etc/ceph/ceph.conf"
|
||||
|
||||
## Whether to gather statistics via the admin socket
|
||||
gather_admin_socket_stats = true
|
||||
|
||||
## Whether to gather statistics via ceph commands, requires ceph_user and ceph_config
|
||||
## to be specified
|
||||
gather_cluster_stats = false
|
||||
|
|
@ -0,0 +1,14 @@
|
|||
# Read specific statistics per cgroup
|
||||
[[inputs.cgroup]]
|
||||
## Directories in which to look for files, globs are supported.
|
||||
## Consider restricting paths to the set of cgroups you really
|
||||
## want to monitor if you have a large number of cgroups, to avoid
|
||||
## any cardinality issues.
|
||||
# paths = [
|
||||
# "/sys/fs/cgroup/memory",
|
||||
# "/sys/fs/cgroup/memory/child1",
|
||||
# "/sys/fs/cgroup/memory/child2/*",
|
||||
# ]
|
||||
## cgroup stat fields, as file names, globs are supported.
|
||||
## these file names are appended to each path from above.
|
||||
# files = ["memory.*usage*", "memory.limit_in_bytes"]
|
||||
|
|
@ -0,0 +1,4 @@
|
|||
# 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
|
||||
|
|
@ -0,0 +1,40 @@
|
|||
# Cisco model-driven telemetry (MDT) input plugin for IOS XR, IOS XE and NX-OS platforms
|
||||
[[inputs.cisco_telemetry_mdt]]
|
||||
## Telemetry transport can be "tcp" or "grpc". TLS is only supported when
|
||||
## using the grpc transport.
|
||||
transport = "grpc"
|
||||
|
||||
## Address and port to host telemetry listener
|
||||
service_address = ":57000"
|
||||
|
||||
## Grpc Maximum Message Size, default is 4MB, increase the size.
|
||||
max_msg_size = 4000000
|
||||
|
||||
## Enable TLS; grpc transport only.
|
||||
# tls_cert = "/etc/telegraf/cert.pem"
|
||||
# tls_key = "/etc/telegraf/key.pem"
|
||||
|
||||
## Enable TLS client authentication and define allowed CA certificates; grpc
|
||||
## transport only.
|
||||
# tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
|
||||
|
||||
## Define (for certain nested telemetry measurements with embedded tags) which fields are tags
|
||||
# embedded_tags = ["Cisco-IOS-XR-qos-ma-oper:qos/interface-table/interface/input/service-policy-names/service-policy-instance/statistics/class-stats/class-name"]
|
||||
|
||||
## Define aliases to map telemetry encoding paths to simple measurement names
|
||||
[inputs.cisco_telemetry_mdt.aliases]
|
||||
ifstats = "ietf-interfaces:interfaces-state/interface/statistics"
|
||||
## Define Property Xformation, please refer README and https://pubhub.devnetcloud.com/media/dme-docs-9-3-3/docs/appendix/ for Model details.
|
||||
[inputs.cisco_telemetry_mdt.dmes]
|
||||
# Global Property Xformation.
|
||||
# prop1 = "uint64 to int"
|
||||
# prop2 = "uint64 to string"
|
||||
# prop3 = "string to uint64"
|
||||
# prop4 = "string to int64"
|
||||
# prop5 = "string to float64"
|
||||
# auto-prop-xfrom = "auto-float-xfrom" #Xform any property which is string, and has float number to type float64
|
||||
# Per Path property xformation, Name is telemetry configuration under sensor-group, path configuration "WORD Distinguished Name"
|
||||
# Per Path configuration is better as it avoid property collision issue of types.
|
||||
# dnpath = '{"Name": "show ip route summary","prop": [{"Key": "routes","Value": "string"}, {"Key": "best-paths","Value": "string"}]}'
|
||||
# dnpath2 = '{"Name": "show processes cpu","prop": [{"Key": "kernel_percent","Value": "float"}, {"Key": "idle_percent","Value": "float"}, {"Key": "process","Value": "string"}, {"Key": "user_percent","Value": "float"}, {"Key": "onesec","Value": "float"}]}'
|
||||
# dnpath3 = '{"Name": "show processes memory physical","prop": [{"Key": "processname","Value": "string"}]}'
|
||||
|
|
@ -0,0 +1,65 @@
|
|||
# Read metrics from one or many ClickHouse servers
|
||||
[[inputs.clickhouse]]
|
||||
## Username for authorization on ClickHouse server
|
||||
## example: username = "default"
|
||||
username = "default"
|
||||
|
||||
## Password for authorization on ClickHouse server
|
||||
## example: password = "super_secret"
|
||||
|
||||
## HTTP(s) timeout while getting metrics values
|
||||
## The timeout includes connection time, any redirects, and reading the response body.
|
||||
## example: timeout = 1s
|
||||
# timeout = 5s
|
||||
|
||||
## List of servers for metrics scraping
|
||||
## metrics scrape via HTTP(s) clickhouse interface
|
||||
## https://clickhouse.tech/docs/en/interfaces/http/
|
||||
## example: servers = ["http://127.0.0.1:8123","https://custom-server.mdb.yandexcloud.net"]
|
||||
servers = ["http://127.0.0.1:8123"]
|
||||
|
||||
## If "auto_discovery"" is "true" plugin tries to connect to all servers available in the cluster
|
||||
## with using same "user:password" described in "user" and "password" parameters
|
||||
## and get this server hostname list from "system.clusters" table
|
||||
## see
|
||||
## - https://clickhouse.tech/docs/en/operations/system_tables/#system-clusters
|
||||
## - https://clickhouse.tech/docs/en/operations/server_settings/settings/#server_settings_remote_servers
|
||||
## - https://clickhouse.tech/docs/en/operations/table_engines/distributed/
|
||||
## - https://clickhouse.tech/docs/en/operations/table_engines/replication/#creating-replicated-tables
|
||||
## example: auto_discovery = false
|
||||
# auto_discovery = true
|
||||
|
||||
## Filter cluster names in "system.clusters" when "auto_discovery" is "true"
|
||||
## when this filter present then "WHERE cluster IN (...)" filter will apply
|
||||
## please use only full cluster names here, regexp and glob filters is not allowed
|
||||
## for "/etc/clickhouse-server/config.d/remote.xml"
|
||||
## <yandex>
|
||||
## <remote_servers>
|
||||
## <my-own-cluster>
|
||||
## <shard>
|
||||
## <replica><host>clickhouse-ru-1.local</host><port>9000</port></replica>
|
||||
## <replica><host>clickhouse-ru-2.local</host><port>9000</port></replica>
|
||||
## </shard>
|
||||
## <shard>
|
||||
## <replica><host>clickhouse-eu-1.local</host><port>9000</port></replica>
|
||||
## <replica><host>clickhouse-eu-2.local</host><port>9000</port></replica>
|
||||
## </shard>
|
||||
## </my-onw-cluster>
|
||||
## </remote_servers>
|
||||
##
|
||||
## </yandex>
|
||||
##
|
||||
## example: cluster_include = ["my-own-cluster"]
|
||||
# cluster_include = []
|
||||
|
||||
## Filter cluster names in "system.clusters" when "auto_discovery" is "true"
|
||||
## when this filter present then "WHERE cluster NOT IN (...)" filter will apply
|
||||
## example: cluster_exclude = ["my-internal-not-discovered-cluster"]
|
||||
# cluster_exclude = []
|
||||
|
||||
## Optional TLS Config
|
||||
# tls_ca = "/etc/telegraf/ca.pem"
|
||||
# tls_cert = "/etc/telegraf/cert.pem"
|
||||
# tls_key = "/etc/telegraf/key.pem"
|
||||
## Use TLS but skip chain & host verification
|
||||
# insecure_skip_verify = false
|
||||
|
|
@ -0,0 +1,74 @@
|
|||
# Read metrics from Google PubSub
|
||||
[[inputs.cloud_pubsub]]
|
||||
## Required. Name of Google Cloud Platform (GCP) Project that owns
|
||||
## the given PubSub subscription.
|
||||
project = "my-project"
|
||||
|
||||
## Required. Name of PubSub subscription to ingest metrics from.
|
||||
subscription = "my-subscription"
|
||||
|
||||
## Required. Data format to consume.
|
||||
## Each data format has its own unique set of configuration options.
|
||||
## Read more about them here:
|
||||
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
|
||||
data_format = "influx"
|
||||
|
||||
## Optional. Filepath for GCP credentials JSON file to authorize calls to
|
||||
## PubSub APIs. If not set explicitly, Telegraf will attempt to use
|
||||
## Application Default Credentials, which is preferred.
|
||||
# credentials_file = "path/to/my/creds.json"
|
||||
|
||||
## Optional. Number of seconds to wait before attempting to restart the
|
||||
## PubSub subscription receiver after an unexpected error.
|
||||
## If the streaming pull for a PubSub Subscription fails (receiver),
|
||||
## the agent attempts to restart receiving messages after this many seconds.
|
||||
# retry_delay_seconds = 5
|
||||
|
||||
## Optional. Maximum byte length of a message to consume.
|
||||
## Larger messages are dropped with an error. If less than 0 or unspecified,
|
||||
## treated as no limit.
|
||||
# max_message_len = 1000000
|
||||
|
||||
## Optional. Maximum messages to read from PubSub that have not been written
|
||||
## to an output. Defaults to %d.
|
||||
## For best throughput set based on the number of metrics within
|
||||
## each message and the size of the output's metric_batch_size.
|
||||
##
|
||||
## For example, if each message contains 10 metrics and the output
|
||||
## metric_batch_size is 1000, setting this to 100 will ensure that a
|
||||
## full batch is collected and the write is triggered immediately without
|
||||
## waiting until the next flush_interval.
|
||||
# max_undelivered_messages = 1000
|
||||
|
||||
## The following are optional Subscription ReceiveSettings in PubSub.
|
||||
## Read more about these values:
|
||||
## https://godoc.org/cloud.google.com/go/pubsub#ReceiveSettings
|
||||
|
||||
## Optional. Maximum number of seconds for which a PubSub subscription
|
||||
## should auto-extend the PubSub ACK deadline for each message. If less than
|
||||
## 0, auto-extension is disabled.
|
||||
# max_extension = 0
|
||||
|
||||
## Optional. Maximum number of unprocessed messages in PubSub
|
||||
## (unacknowledged but not yet expired in PubSub).
|
||||
## A value of 0 is treated as the default PubSub value.
|
||||
## Negative values will be treated as unlimited.
|
||||
# max_outstanding_messages = 0
|
||||
|
||||
## Optional. Maximum size in bytes of unprocessed messages in PubSub
|
||||
## (unacknowledged but not yet expired in PubSub).
|
||||
## A value of 0 is treated as the default PubSub value.
|
||||
## Negative values will be treated as unlimited.
|
||||
# max_outstanding_bytes = 0
|
||||
|
||||
## Optional. Max number of goroutines a PubSub Subscription receiver can spawn
|
||||
## to pull messages from PubSub concurrently. This limit applies to each
|
||||
## subscription separately and is treated as the PubSub default if less than
|
||||
## 1. Note this setting does not limit the number of messages that can be
|
||||
## processed concurrently (use "max_outstanding_messages" instead).
|
||||
# max_receiver_go_routines = 0
|
||||
|
||||
## Optional. If true, Telegraf will attempt to base64 decode the
|
||||
## PubSub message data before parsing. Many GCP services that
|
||||
## output JSON to Google PubSub base64-encode the JSON payload.
|
||||
# base64_data = false
|
||||
|
|
@ -0,0 +1,49 @@
|
|||
# Google Cloud Pub/Sub Push HTTP listener
|
||||
[[inputs.cloud_pubsub_push]]
|
||||
## Address and port to host HTTP listener on
|
||||
service_address = ":8080"
|
||||
|
||||
## Application secret to verify messages originate from Cloud Pub/Sub
|
||||
# token = ""
|
||||
|
||||
## Path to listen to.
|
||||
# path = "/"
|
||||
|
||||
## Maximum duration before timing out read of the request
|
||||
# read_timeout = "10s"
|
||||
## Maximum duration before timing out write of the response. This should be set to a value
|
||||
## large enough that you can send at least 'metric_batch_size' number of messages within the
|
||||
## duration.
|
||||
# write_timeout = "10s"
|
||||
|
||||
## Maximum allowed http request body size in bytes.
|
||||
## 0 means to use the default of 524,288,00 bytes (500 mebibytes)
|
||||
# max_body_size = "500MB"
|
||||
|
||||
## Whether to add the pubsub metadata, such as message attributes and subscription as a tag.
|
||||
# add_meta = false
|
||||
|
||||
## Optional. Maximum messages to read from PubSub that have not been written
|
||||
## to an output. Defaults to 1000.
|
||||
## For best throughput set based on the number of metrics within
|
||||
## each message and the size of the output's metric_batch_size.
|
||||
##
|
||||
## For example, if each message contains 10 metrics and the output
|
||||
## metric_batch_size is 1000, setting this to 100 will ensure that a
|
||||
## full batch is collected and the write is triggered immediately without
|
||||
## waiting until the next flush_interval.
|
||||
# max_undelivered_messages = 1000
|
||||
|
||||
## Set one or more allowed client CA certificate file names to
|
||||
## enable mutually authenticated TLS connections
|
||||
# tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
|
||||
|
||||
## Add service certificate and key
|
||||
# tls_cert = "/etc/telegraf/cert.pem"
|
||||
# tls_key = "/etc/telegraf/key.pem"
|
||||
|
||||
## Data format to consume.
|
||||
## Each data format has its own unique set of configuration options, read
|
||||
## more about them here:
|
||||
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
|
||||
data_format = "influx"
|
||||
|
|
@ -0,0 +1,95 @@
|
|||
# Pull Metric Statistics from Amazon CloudWatch
|
||||
[[inputs.cloudwatch]]
|
||||
## Amazon Region
|
||||
region = "us-east-1"
|
||||
|
||||
## Amazon Credentials
|
||||
## Credentials are loaded in the following order
|
||||
## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
|
||||
## 2) Assumed credentials via STS if role_arn is specified
|
||||
## 3) explicit credentials from 'access_key' and 'secret_key'
|
||||
## 4) shared profile from 'profile'
|
||||
## 5) environment variables
|
||||
## 6) shared credentials file
|
||||
## 7) EC2 Instance Profile
|
||||
# access_key = ""
|
||||
# secret_key = ""
|
||||
# token = ""
|
||||
# role_arn = ""
|
||||
# web_identity_token_file = ""
|
||||
# role_session_name = ""
|
||||
# profile = ""
|
||||
# shared_credential_file = ""
|
||||
|
||||
## Endpoint to make request against, the correct endpoint is automatically
|
||||
## determined and this option should only be set if you wish to override the
|
||||
## default.
|
||||
## ex: endpoint_url = "http://localhost:8000"
|
||||
# endpoint_url = ""
|
||||
|
||||
## Set http_proxy (telegraf uses the system wide proxy settings if it's is not set)
|
||||
# http_proxy_url = "http://localhost:8888"
|
||||
|
||||
# The minimum period for Cloudwatch metrics is 1 minute (60s). However not all
|
||||
# metrics are made available to the 1 minute period. Some are collected at
|
||||
# 3 minute, 5 minute, or larger intervals. See https://aws.amazon.com/cloudwatch/faqs/#monitoring.
|
||||
# Note that if a period is configured that is smaller than the minimum for a
|
||||
# particular metric, that metric will not be returned by the Cloudwatch API
|
||||
# and will not be collected by Telegraf.
|
||||
#
|
||||
## Requested CloudWatch aggregation Period (required - must be a multiple of 60s)
|
||||
period = "5m"
|
||||
|
||||
## Collection Delay (required - must account for metrics availability via CloudWatch API)
|
||||
delay = "5m"
|
||||
|
||||
## Recommended: use metric 'interval' that is a multiple of 'period' to avoid
|
||||
## gaps or overlap in pulled data
|
||||
interval = "5m"
|
||||
|
||||
## Recommended if "delay" and "period" are both within 3 hours of request time. Invalid values will be ignored.
|
||||
## Recently Active feature will only poll for CloudWatch ListMetrics values that occurred within the last 3 Hours.
|
||||
## If enabled, it will reduce total API usage of the CloudWatch ListMetrics API and require less memory to retain.
|
||||
## Do not enable if "period" or "delay" is longer than 3 hours, as it will not return data more than 3 hours old.
|
||||
## See https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_ListMetrics.html
|
||||
#recently_active = "PT3H"
|
||||
|
||||
## Configure the TTL for the internal cache of metrics.
|
||||
# cache_ttl = "1h"
|
||||
|
||||
## Metric Statistic Namespaces (required)
|
||||
namespaces = ["AWS/ELB"]
|
||||
# A single metric statistic namespace that will be appended to namespaces on startup
|
||||
# namespace = "AWS/ELB"
|
||||
|
||||
## Maximum requests per second. Note that the global default AWS rate limit is
|
||||
## 50 reqs/sec, so if you define multiple namespaces, these should add up to a
|
||||
## maximum of 50.
|
||||
## See http://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_limits.html
|
||||
# ratelimit = 25
|
||||
|
||||
## Timeout for http requests made by the cloudwatch client.
|
||||
# timeout = "5s"
|
||||
|
||||
## Namespace-wide statistic filters. These allow fewer queries to be made to
|
||||
## cloudwatch.
|
||||
# statistic_include = [ "average", "sum", "minimum", "maximum", sample_count" ]
|
||||
# statistic_exclude = []
|
||||
|
||||
## Metrics to Pull
|
||||
## Defaults to all Metrics in Namespace if nothing is provided
|
||||
## Refreshes Namespace available metrics every 1h
|
||||
#[[inputs.cloudwatch.metrics]]
|
||||
# names = ["Latency", "RequestCount"]
|
||||
#
|
||||
# ## Statistic filters for Metric. These allow for retrieving specific
|
||||
# ## statistics for an individual metric.
|
||||
# # statistic_include = [ "average", "sum", "minimum", "maximum", sample_count" ]
|
||||
# # statistic_exclude = []
|
||||
#
|
||||
# ## Dimension filters for Metric. All dimensions defined for the metric names
|
||||
# ## must be specified in order to retrieve the metric statistics.
|
||||
# ## 'value' has wildcard / 'glob' matching support such as 'p-*'.
|
||||
# [[inputs.cloudwatch.metrics.dimensions]]
|
||||
# name = "LoadBalancerName"
|
||||
# value = "p-example"
|
||||
|
|
@ -0,0 +1,14 @@
|
|||
# Collects conntrack stats from the configured directories and files.
|
||||
[[inputs.conntrack]]
|
||||
## The following defaults would work with multiple versions of conntrack.
|
||||
## Note the nf_ and ip_ filename prefixes are mutually exclusive across
|
||||
## kernel versions, as are the directory locations.
|
||||
|
||||
## Superset of filenames to look for within the conntrack dirs.
|
||||
## Missing files will be ignored.
|
||||
files = ["ip_conntrack_count","ip_conntrack_max",
|
||||
"nf_conntrack_count","nf_conntrack_max"]
|
||||
|
||||
## Directories to search within for the conntrack files above.
|
||||
## Missing directories will be ignored.
|
||||
dirs = ["/proc/sys/net/ipv4/netfilter","/proc/sys/net/netfilter"]
|
||||
|
|
@ -0,0 +1,37 @@
|
|||
# Gather health check statuses from services registered in Consul
|
||||
[[inputs.consul]]
|
||||
## Consul server address
|
||||
# address = "localhost:8500"
|
||||
|
||||
## URI scheme for the Consul server, one of "http", "https"
|
||||
# scheme = "http"
|
||||
|
||||
## Metric version controls the mapping from Consul metrics into
|
||||
## Telegraf metrics. Version 2 moved all fields with string values
|
||||
## to tags.
|
||||
##
|
||||
## example: metric_version = 1; deprecated in 1.16
|
||||
## metric_version = 2; recommended version
|
||||
# metric_version = 1
|
||||
|
||||
## ACL token used in every request
|
||||
# token = ""
|
||||
|
||||
## HTTP Basic Authentication username and password.
|
||||
# username = ""
|
||||
# password = ""
|
||||
|
||||
## Data center to query the health checks from
|
||||
# datacenter = ""
|
||||
|
||||
## Optional TLS Config
|
||||
# tls_ca = "/etc/telegraf/ca.pem"
|
||||
# tls_cert = "/etc/telegraf/cert.pem"
|
||||
# tls_key = "/etc/telegraf/key.pem"
|
||||
## Use TLS but skip chain & host verification
|
||||
# insecure_skip_verify = true
|
||||
|
||||
## Consul checks' tag splitting
|
||||
# When tags are formatted like "key:value" with ":" as a delimiter then
|
||||
# they will be splitted and reported as proper key:value in Telegraf
|
||||
# tag_delimiter = ":"
|
||||
|
|
@ -0,0 +1,19 @@
|
|||
# Read metrics from the Consul Agent API
|
||||
[[inputs.consul_agent]]
|
||||
## URL for the Consul agent
|
||||
# url = "http://127.0.0.1:8500"
|
||||
|
||||
## Use auth token for authorization.
|
||||
## If both are set, an error is thrown.
|
||||
## If both are empty, no token will be used.
|
||||
# token_file = "/path/to/auth/token"
|
||||
## OR
|
||||
# token = "a1234567-40c7-9048-7bae-378687048181"
|
||||
|
||||
## Set timeout (default 5 seconds)
|
||||
# timeout = "5s"
|
||||
|
||||
## Optional TLS Config
|
||||
# tls_ca = /path/to/cafile
|
||||
# tls_cert = /path/to/certfile
|
||||
# tls_key = /path/to/keyfile
|
||||
|
|
@ -0,0 +1,23 @@
|
|||
# Read per-node and per-bucket metrics from Couchbase
|
||||
[[inputs.couchbase]]
|
||||
## specify servers via a url matching:
|
||||
## [protocol://][:password]@address[:port]
|
||||
## e.g.
|
||||
## http://couchbase-0.example.com/
|
||||
## http://admin:secret@couchbase-0.example.com:8091/
|
||||
##
|
||||
## If no servers are specified, then localhost is used as the host.
|
||||
## If no protocol is specified, HTTP is used.
|
||||
## If no port is specified, 8091 is used.
|
||||
servers = ["http://localhost:8091"]
|
||||
|
||||
## Filter bucket fields to include only here.
|
||||
# bucket_stats_included = ["quota_percent_used", "ops_per_sec", "disk_fetches", "item_count", "disk_used", "data_used", "mem_used"]
|
||||
|
||||
## Optional TLS Config
|
||||
# tls_ca = "/etc/telegraf/ca.pem"
|
||||
# tls_cert = "/etc/telegraf/cert.pem"
|
||||
# tls_key = "/etc/telegraf/key.pem"
|
||||
## Use TLS but skip chain & host verification (defaults to false)
|
||||
## If set to false, tls_cert and tls_key are required
|
||||
# insecure_skip_verify = false
|
||||
|
|
@ -0,0 +1,9 @@
|
|||
# Read CouchDB Stats from one or more servers
|
||||
[[inputs.couchdb]]
|
||||
## Works with CouchDB stats endpoints out of the box
|
||||
## Multiple Hosts from which to read CouchDB stats:
|
||||
hosts = ["http://localhost:8086/_stats"]
|
||||
|
||||
## Use HTTP Basic Authentication.
|
||||
# basic_username = "telegraf"
|
||||
# basic_password = "p@ssw0rd"
|
||||
|
|
@ -0,0 +1,10 @@
|
|||
# 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
|
||||
|
|
@ -0,0 +1,10 @@
|
|||
# Fetch metrics from a CSGO SRCDS
|
||||
[[inputs.csgo]]
|
||||
## Specify servers using the following format:
|
||||
## servers = [
|
||||
## ["ip1:port1", "rcon_password1"],
|
||||
## ["ip2:port2", "rcon_password2"],
|
||||
## ]
|
||||
#
|
||||
## If no servers are specified, no data will be collected
|
||||
servers = []
|
||||
|
|
@ -0,0 +1,42 @@
|
|||
# Input plugin for DC/OS metrics
|
||||
[[inputs.dcos]]
|
||||
## The DC/OS cluster URL.
|
||||
cluster_url = "https://dcos-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/*"]
|
||||
|
|
@ -0,0 +1,44 @@
|
|||
# Ingests files in a directory and then moves them to a target directory.
|
||||
[[inputs.directory_monitor]]
|
||||
## The directory to monitor and read files from.
|
||||
directory = ""
|
||||
#
|
||||
## The directory to move finished files to.
|
||||
finished_directory = ""
|
||||
#
|
||||
## The directory to move files to upon file error.
|
||||
## If not provided, erroring files will stay in the monitored directory.
|
||||
# error_directory = ""
|
||||
#
|
||||
## The amount of time a file is allowed to sit in the directory before it is picked up.
|
||||
## This time can generally be low but if you choose to have a very large file written to the directory and it's potentially slow,
|
||||
## set this higher so that the plugin will wait until the file is fully copied to the directory.
|
||||
# directory_duration_threshold = "50ms"
|
||||
#
|
||||
## A list of the only file names to monitor, if necessary. Supports regex. If left blank, all files are ingested.
|
||||
# files_to_monitor = ["^.*\.csv"]
|
||||
#
|
||||
## A list of files to ignore, if necessary. Supports regex.
|
||||
# files_to_ignore = [".DS_Store"]
|
||||
#
|
||||
## Maximum lines of the file to process that have not yet be written by the
|
||||
## output. For best throughput set to the size of the output's metric_buffer_limit.
|
||||
## Warning: setting this number higher than the output's metric_buffer_limit can cause dropped metrics.
|
||||
# max_buffered_metrics = 10000
|
||||
#
|
||||
## The maximum amount of file paths to queue up for processing at once, before waiting until files are processed to find more files.
|
||||
## Lowering this value will result in *slightly* less memory use, with a potential sacrifice in speed efficiency, if absolutely necessary.
|
||||
# file_queue_size = 100000
|
||||
#
|
||||
## Name a tag containing the name of the file the data was parsed from. Leave empty
|
||||
## to disable. Cautious when file name variation is high, this can increase the cardinality
|
||||
## significantly. Read more about cardinality here:
|
||||
## https://docs.influxdata.com/influxdb/cloud/reference/glossary/#series-cardinality
|
||||
# file_tag = ""
|
||||
#
|
||||
## The dataformat to be read from the files.
|
||||
## Each data format has its own unique set of configuration options, read
|
||||
## more about them here:
|
||||
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
|
||||
## NOTE: We currently only support parsing newline-delimited JSON. See the format here: https://github.com/ndjson/ndjson-spec
|
||||
data_format = "influx"
|
||||
|
|
@ -0,0 +1,13 @@
|
|||
# Read metrics about disk usage by mount point
|
||||
[[inputs.disk]]
|
||||
## By default stats will be gathered for all mount points.
|
||||
## Set mount_points will restrict the stats to only the specified mount points.
|
||||
# mount_points = ["/"]
|
||||
|
||||
## Ignore mount points by filesystem type.
|
||||
ignore_fs = ["tmpfs", "devtmpfs", "devfs", "iso9660", "overlay", "aufs", "squashfs"]
|
||||
|
||||
## Ignore mount points by mount options.
|
||||
## The 'mount' command reports options of all mounts in parathesis.
|
||||
## Bind mounts can be ignored with the special 'bind' option.
|
||||
# ignore_mount_opts = []
|
||||
|
|
@ -0,0 +1,27 @@
|
|||
# Read metrics about disk IO by device
|
||||
[[inputs.diskio]]
|
||||
## By default, telegraf will gather stats for all devices including
|
||||
## disk partitions.
|
||||
## Setting devices will restrict the stats to the specified devices.
|
||||
# devices = ["sda", "sdb", "vd*"]
|
||||
## Uncomment the following line if you need disk serial numbers.
|
||||
# skip_serial_number = false
|
||||
#
|
||||
## On systems which support it, device metadata can be added in the form of
|
||||
## tags.
|
||||
## Currently only Linux is supported via udev properties. You can view
|
||||
## available properties for a device by running:
|
||||
## 'udevadm info -q property -n /dev/sda'
|
||||
## Note: Most, but not all, udev properties can be accessed this way. Properties
|
||||
## that are currently inaccessible include DEVTYPE, DEVNAME, and DEVPATH.
|
||||
# device_tags = ["ID_FS_TYPE", "ID_FS_USAGE"]
|
||||
#
|
||||
## Using the same metadata source as device_tags, you can also customize the
|
||||
## name of the device via templates.
|
||||
## The 'name_templates' parameter is a list of templates to try and apply to
|
||||
## the device. The template may contain variables in the form of '$PROPERTY' or
|
||||
## '${PROPERTY}'. The first template which does not contain any variables not
|
||||
## present for the device is used as the device name tag.
|
||||
## The typical use case is for LVM volumes, to get the VG/LV name instead of
|
||||
## the near-meaningless DM-0 name.
|
||||
# name_templates = ["$ID_FS_LABEL","$DM_VG_NAME/$DM_LV_NAME"]
|
||||
|
|
@ -0,0 +1,7 @@
|
|||
# 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"]
|
||||
|
|
@ -0,0 +1,4 @@
|
|||
# Provide a native collection for dmsetup based statistics for dm-cache
|
||||
[[inputs.dmcache]]
|
||||
## Whether to report per-device stats or not
|
||||
per_device = true
|
||||
|
|
@ -0,0 +1,20 @@
|
|||
# Query given DNS server and gives statistics
|
||||
[[inputs.dns_query]]
|
||||
## servers to query
|
||||
servers = ["8.8.8.8"]
|
||||
|
||||
## Network is the network protocol name.
|
||||
# network = "udp"
|
||||
|
||||
## Domains or subdomains to query.
|
||||
# domains = ["."]
|
||||
|
||||
## Query record type.
|
||||
## Possible values: A, AAAA, CNAME, MX, NS, PTR, TXT, SOA, SPF, SRV.
|
||||
# record_type = "A"
|
||||
|
||||
## Dns server port.
|
||||
# port = 53
|
||||
|
||||
## Query timeout in seconds.
|
||||
# timeout = 2
|
||||
|
|
@ -0,0 +1,72 @@
|
|||
# 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)
|
||||
## Note: configure this in one of the manager nodes in a Swarm cluster.
|
||||
## configuring in multiple Swarm managers results in duplication of metrics.
|
||||
gather_services = false
|
||||
|
||||
## Only collect metrics for these containers. Values will be appended to
|
||||
## container_name_include.
|
||||
## Deprecated (1.4.0), use container_name_include
|
||||
container_names = []
|
||||
|
||||
## Set the source tag for the metrics to the container ID hostname, eg first 12 chars
|
||||
source_tag = false
|
||||
|
||||
## Containers to include and exclude. Collect all if empty. Globs accepted.
|
||||
container_name_include = []
|
||||
container_name_exclude = []
|
||||
|
||||
## Container states to include and exclude. Globs accepted.
|
||||
## When empty only containers in the "running" state will be captured.
|
||||
## example: container_state_include = ["created", "restarting", "running", "removing", "paused", "exited", "dead"]
|
||||
## example: container_state_exclude = ["created", "restarting", "running", "removing", "paused", "exited", "dead"]
|
||||
# container_state_include = []
|
||||
# container_state_exclude = []
|
||||
|
||||
## Timeout for docker list, info, and stats commands
|
||||
timeout = "5s"
|
||||
|
||||
## Whether to report for each container per-device blkio (8:0, 8:1...),
|
||||
## network (eth0, eth1, ...) and cpu (cpu0, cpu1, ...) stats or not.
|
||||
## Usage of this setting is discouraged since it will be deprecated in favor of 'perdevice_include'.
|
||||
## Default value is 'true' for backwards compatibility, please set it to 'false' so that 'perdevice_include' setting
|
||||
## is honored.
|
||||
perdevice = true
|
||||
|
||||
## Specifies for which classes a per-device metric should be issued
|
||||
## Possible values are 'cpu' (cpu0, cpu1, ...), 'blkio' (8:0, 8:1, ...) and 'network' (eth0, eth1, ...)
|
||||
## Please note that this setting has no effect if 'perdevice' is set to 'true'
|
||||
# perdevice_include = ["cpu"]
|
||||
|
||||
## Whether to report for each container total blkio and network stats or not.
|
||||
## Usage of this setting is discouraged since it will be deprecated in favor of 'total_include'.
|
||||
## Default value is 'false' for backwards compatibility, please set it to 'true' so that 'total_include' setting
|
||||
## is honored.
|
||||
total = false
|
||||
|
||||
## Specifies for which classes a total metric should be issued. Total is an aggregated of the 'perdevice' values.
|
||||
## Possible values are 'cpu', 'blkio' and 'network'
|
||||
## Total 'cpu' is reported directly by Docker daemon, and 'network' and 'blkio' totals are aggregated by this plugin.
|
||||
## Please note that this setting has no effect if 'total' is set to 'false'
|
||||
# total_include = ["cpu", "blkio", "network"]
|
||||
|
||||
## 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 = []
|
||||
|
||||
## Which environment variables should we use as a tag
|
||||
tag_env = ["JAVA_HOME", "HEAP_SIZE"]
|
||||
|
||||
## 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
|
||||
|
|
@ -0,0 +1,38 @@
|
|||
# Read logging output from the Docker engine
|
||||
[[inputs.docker_log]]
|
||||
## Docker Endpoint
|
||||
## To use TCP, set endpoint = "tcp://[ip]:[port]"
|
||||
## To use environment variables (ie, docker-machine), set endpoint = "ENV"
|
||||
# endpoint = "unix:///var/run/docker.sock"
|
||||
|
||||
## When true, container logs are read from the beginning; otherwise
|
||||
## reading begins at the end of the log.
|
||||
# from_beginning = false
|
||||
|
||||
## Timeout for Docker API calls.
|
||||
# timeout = "5s"
|
||||
|
||||
## Containers to include and exclude. Globs accepted.
|
||||
## Note that an empty array for both will include all containers
|
||||
# container_name_include = []
|
||||
# container_name_exclude = []
|
||||
|
||||
## Container states to include and exclude. Globs accepted.
|
||||
## When empty only containers in the "running" state will be captured.
|
||||
# container_state_include = []
|
||||
# container_state_exclude = []
|
||||
|
||||
## docker labels to include and exclude as tags. Globs accepted.
|
||||
## Note that an empty array for both will include all labels as tags
|
||||
# docker_label_include = []
|
||||
# docker_label_exclude = []
|
||||
|
||||
## Set the source tag for the metrics to the container ID hostname, eg first 12 chars
|
||||
source_tag = false
|
||||
|
||||
## Optional TLS Config
|
||||
# tls_ca = "/etc/telegraf/ca.pem"
|
||||
# tls_cert = "/etc/telegraf/cert.pem"
|
||||
# tls_key = "/etc/telegraf/key.pem"
|
||||
## Use TLS but skip chain & host verification
|
||||
# insecure_skip_verify = false
|
||||
|
|
@ -0,0 +1,18 @@
|
|||
# Read metrics about dovecot servers
|
||||
[[inputs.dovecot]]
|
||||
## specify dovecot servers via an address:port list
|
||||
## e.g.
|
||||
## localhost:24242
|
||||
## or as an UDS socket
|
||||
## e.g.
|
||||
## /var/run/dovecot/old-stats
|
||||
##
|
||||
## 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 = [""]
|
||||
|
|
@ -0,0 +1,32 @@
|
|||
# Reads metrics from DPDK applications using v2 telemetry interface.
|
||||
[[inputs.dpdk]]
|
||||
## Path to DPDK telemetry socket. This shall point to v2 version of DPDK telemetry interface.
|
||||
# socket_path = "/var/run/dpdk/rte/dpdk_telemetry.v2"
|
||||
|
||||
## Duration that defines how long the connected socket client will wait for a response before terminating connection.
|
||||
## This includes both writing to and reading from socket. Since it's local socket access
|
||||
## to a fast packet processing application, the timeout should be sufficient for most users.
|
||||
## Setting the value to 0 disables the timeout (not recommended)
|
||||
# socket_access_timeout = "200ms"
|
||||
|
||||
## Enables telemetry data collection for selected device types.
|
||||
## Adding "ethdev" enables collection of telemetry from DPDK NICs (stats, xstats, link_status).
|
||||
## Adding "rawdev" enables collection of telemetry from DPDK Raw Devices (xstats).
|
||||
# device_types = ["ethdev"]
|
||||
|
||||
## List of custom, application-specific telemetry commands to query
|
||||
## The list of available commands depend on the application deployed. Applications can register their own commands
|
||||
## via telemetry library API http://doc.dpdk.org/guides/prog_guide/telemetry_lib.html#registering-commands
|
||||
## For e.g. L3 Forwarding with Power Management Sample Application this could be:
|
||||
## additional_commands = ["/l3fwd-power/stats"]
|
||||
# additional_commands = []
|
||||
|
||||
## Allows turning off collecting data for individual "ethdev" commands.
|
||||
## Remove "/ethdev/link_status" from list to start getting link status metrics.
|
||||
[inputs.dpdk.ethdev]
|
||||
exclude_commands = ["/ethdev/link_status"]
|
||||
|
||||
## When running multiple instances of the plugin it's recommended to add a unique tag to each instance to identify
|
||||
## metrics exposed by an instance of DPDK application. This is useful when multiple DPDK apps run on a single host.
|
||||
## [inputs.dpdk.tags]
|
||||
## dpdk_instance = "my-fwd-app"
|
||||
|
|
@ -0,0 +1,26 @@
|
|||
# Read metrics about ECS containers
|
||||
[[inputs.ecs]]
|
||||
## ECS metadata url.
|
||||
## Metadata v2 API is used if set explicitly. Otherwise,
|
||||
## v3 metadata endpoint API is used if available.
|
||||
# endpoint_url = ""
|
||||
|
||||
## Containers to include and exclude. Globs accepted.
|
||||
## Note that an empty array for both will include all containers
|
||||
# container_name_include = []
|
||||
# container_name_exclude = []
|
||||
|
||||
## Container states to include and exclude. Globs accepted.
|
||||
## When empty only containers in the "RUNNING" state will be captured.
|
||||
## Possible values are "NONE", "PULLED", "CREATED", "RUNNING",
|
||||
## "RESOURCES_PROVISIONED", "STOPPED".
|
||||
# container_status_include = []
|
||||
# container_status_exclude = []
|
||||
|
||||
## ecs labels to include and exclude as tags. Globs accepted.
|
||||
## Note that an empty array for both will include all labels as tags
|
||||
ecs_label_include = [ "com.amazonaws.ecs.*" ]
|
||||
ecs_label_exclude = []
|
||||
|
||||
## Timeout for queries.
|
||||
# timeout = "5s"
|
||||
|
|
@ -0,0 +1,59 @@
|
|||
# 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 obtain cluster health stats
|
||||
cluster_health = false
|
||||
|
||||
## Adjust cluster_health_level when you want to obtain detailed health stats
|
||||
## The options are
|
||||
## - indices (default)
|
||||
## - cluster
|
||||
# cluster_health_level = "indices"
|
||||
|
||||
## Set cluster_stats to true when you want to obtain cluster stats.
|
||||
cluster_stats = false
|
||||
|
||||
## Only gather cluster_stats from the master node. To work this require local = true
|
||||
cluster_stats_only_from_master = true
|
||||
|
||||
## Indices to collect; can be one or more indices names or _all
|
||||
## Use of wildcards is allowed. Use a wildcard at the end to retrieve index names that end with a changing value, like a date.
|
||||
indices_include = ["_all"]
|
||||
|
||||
## One of "shards", "cluster", "indices"
|
||||
## Currently only "shards" is implemented
|
||||
indices_level = "shards"
|
||||
|
||||
## node_stats is a list of sub-stats that you want to have gathered. Valid options
|
||||
## are "indices", "os", "process", "jvm", "thread_pool", "fs", "transport", "http",
|
||||
## "breaker". Per default, all stats are gathered.
|
||||
# node_stats = ["jvm", "http"]
|
||||
|
||||
## HTTP Basic Authentication username and password.
|
||||
# username = ""
|
||||
# password = ""
|
||||
|
||||
## Optional TLS Config
|
||||
# tls_ca = "/etc/telegraf/ca.pem"
|
||||
# tls_cert = "/etc/telegraf/cert.pem"
|
||||
# tls_key = "/etc/telegraf/key.pem"
|
||||
## Use TLS but skip chain & host verification
|
||||
# insecure_skip_verify = false
|
||||
|
||||
## Sets the number of most recent indices to return for indices that are configured with a date-stamped suffix.
|
||||
## Each 'indices_include' entry ending with a wildcard (*) or glob matching pattern will group together all indices that match it, and
|
||||
## sort them by the date or number after the wildcard. Metrics then are gathered for only the 'num_most_recent_indices' amount of most
|
||||
## recent indices.
|
||||
# num_most_recent_indices = 0
|
||||
|
|
@ -0,0 +1,71 @@
|
|||
# Derive metrics from aggregating Elasticsearch query results
|
||||
[[inputs.elasticsearch_query]]
|
||||
## The full HTTP endpoint URL for your Elasticsearch instance
|
||||
## Multiple urls can be specified as part of the same cluster,
|
||||
## this means that only ONE of the urls will be written to each interval.
|
||||
urls = [ "http://node1.es.example.com:9200" ] # required.
|
||||
|
||||
## Elasticsearch client timeout, defaults to "5s".
|
||||
# timeout = "5s"
|
||||
|
||||
## Set to true to ask Elasticsearch a list of all cluster nodes,
|
||||
## thus it is not necessary to list all nodes in the urls config option
|
||||
# enable_sniffer = false
|
||||
|
||||
## Set the interval to check if the Elasticsearch nodes are available
|
||||
## This option is only used if enable_sniffer is also set (0s to disable it)
|
||||
# health_check_interval = "10s"
|
||||
|
||||
## HTTP basic authentication details (eg. when using x-pack)
|
||||
# username = "telegraf"
|
||||
# password = "mypassword"
|
||||
|
||||
## Optional TLS Config
|
||||
# tls_ca = "/etc/telegraf/ca.pem"
|
||||
# tls_cert = "/etc/telegraf/cert.pem"
|
||||
# tls_key = "/etc/telegraf/key.pem"
|
||||
## Use TLS but skip chain & host verification
|
||||
# insecure_skip_verify = false
|
||||
|
||||
[[inputs.elasticsearch_query.aggregation]]
|
||||
## measurement name for the results of the aggregation query
|
||||
measurement_name = "measurement"
|
||||
|
||||
## Elasticsearch indexes to query (accept wildcards).
|
||||
index = "index-*"
|
||||
|
||||
## The date/time field in the Elasticsearch index (mandatory).
|
||||
date_field = "@timestamp"
|
||||
|
||||
## If the field used for the date/time field in Elasticsearch is also using
|
||||
## a custom date/time format it may be required to provide the format to
|
||||
## correctly parse the field.
|
||||
##
|
||||
## If using one of the built in elasticsearch formats this is not required.
|
||||
# date_field_custom_format = ""
|
||||
|
||||
## Time window to query (eg. "1m" to query documents from last minute).
|
||||
## Normally should be set to same as collection interval
|
||||
query_period = "1m"
|
||||
|
||||
## Lucene query to filter results
|
||||
# filter_query = "*"
|
||||
|
||||
## Fields to aggregate values (must be numeric fields)
|
||||
# metric_fields = ["metric"]
|
||||
|
||||
## Aggregation function to use on the metric fields
|
||||
## Must be set if 'metric_fields' is set
|
||||
## Valid values are: avg, sum, min, max, sum
|
||||
# metric_function = "avg"
|
||||
|
||||
## Fields to be used as tags
|
||||
## Must be text, non-analyzed fields. Metric aggregations are performed per tag
|
||||
# tags = ["field.keyword", "field2.keyword"]
|
||||
|
||||
## Set to true to not ignore documents when the tag(s) above are missing
|
||||
# include_missing_tag = false
|
||||
|
||||
## String value of the tag when the tag does not exist
|
||||
## Used when include_missing_tag is true
|
||||
# missing_tag_value = "null"
|
||||
|
|
@ -0,0 +1,16 @@
|
|||
# Returns ethtool statistics for given interfaces
|
||||
[[inputs.ethtool]]
|
||||
## List of interfaces to pull metrics for
|
||||
# interface_include = ["eth0"]
|
||||
|
||||
## List of interfaces to ignore when pulling metrics.
|
||||
# interface_exclude = ["eth1"]
|
||||
|
||||
## Some drivers declare statistics with extra whitespace, different spacing,
|
||||
## and mix cases. This list, when enabled, can be used to clean the keys.
|
||||
## Here are the current possible normalizations:
|
||||
## * snakecase: converts fooBarBaz to foo_bar_baz
|
||||
## * trim: removes leading and trailing whitespace
|
||||
## * lower: changes all capitalized letters to lowercase
|
||||
## * underscore: replaces spaces with underscores
|
||||
# normalize_keys = ["snakecase", "trim", "lower", "underscore"]
|
||||
|
|
@ -0,0 +1,84 @@
|
|||
# Azure Event Hubs service input plugin
|
||||
[[inputs.eventhub_consumer]]
|
||||
## The default behavior is to create a new Event Hub client from environment variables.
|
||||
## This requires one of the following sets of environment variables to be set:
|
||||
##
|
||||
## 1) Expected Environment Variables:
|
||||
## - "EVENTHUB_CONNECTION_STRING"
|
||||
##
|
||||
## 2) Expected Environment Variables:
|
||||
## - "EVENTHUB_NAMESPACE"
|
||||
## - "EVENTHUB_NAME"
|
||||
## - "EVENTHUB_KEY_NAME"
|
||||
## - "EVENTHUB_KEY_VALUE"
|
||||
|
||||
## 3) Expected Environment Variables:
|
||||
## - "EVENTHUB_NAMESPACE"
|
||||
## - "EVENTHUB_NAME"
|
||||
## - "AZURE_TENANT_ID"
|
||||
## - "AZURE_CLIENT_ID"
|
||||
## - "AZURE_CLIENT_SECRET"
|
||||
|
||||
## Uncommenting the option below will create an Event Hub client based solely on the connection string.
|
||||
## This can either be the associated environment variable or hard coded directly.
|
||||
## If this option is uncommented, environment variables will be ignored.
|
||||
## Connection string should contain EventHubName (EntityPath)
|
||||
# connection_string = ""
|
||||
|
||||
## Set persistence directory to a valid folder to use a file persister instead of an in-memory persister
|
||||
# persistence_dir = ""
|
||||
|
||||
## Change the default consumer group
|
||||
# consumer_group = ""
|
||||
|
||||
## By default the event hub receives all messages present on the broker, alternative modes can be set below.
|
||||
## The timestamp should be in https://github.com/toml-lang/toml#offset-date-time format (RFC 3339).
|
||||
## The 3 options below only apply if no valid persister is read from memory or file (e.g. first run).
|
||||
# from_timestamp =
|
||||
# latest = true
|
||||
|
||||
## Set a custom prefetch count for the receiver(s)
|
||||
# prefetch_count = 1000
|
||||
|
||||
## Add an epoch to the receiver(s)
|
||||
# epoch = 0
|
||||
|
||||
## Change to set a custom user agent, "telegraf" is used by default
|
||||
# user_agent = "telegraf"
|
||||
|
||||
## To consume from a specific partition, set the partition_ids option.
|
||||
## An empty array will result in receiving from all partitions.
|
||||
# partition_ids = ["0","1"]
|
||||
|
||||
## Max undelivered messages
|
||||
# max_undelivered_messages = 1000
|
||||
|
||||
## Set either option below to true to use a system property as timestamp.
|
||||
## You have the choice between EnqueuedTime and IoTHubEnqueuedTime.
|
||||
## It is recommended to use this setting when the data itself has no timestamp.
|
||||
# enqueued_time_as_ts = true
|
||||
# iot_hub_enqueued_time_as_ts = true
|
||||
|
||||
## Tags or fields to create from keys present in the application property bag.
|
||||
## These could for example be set by message enrichments in Azure IoT Hub.
|
||||
# application_property_tags = []
|
||||
# application_property_fields = []
|
||||
|
||||
## Tag or field name to use for metadata
|
||||
## By default all metadata is disabled
|
||||
# sequence_number_field = "SequenceNumber"
|
||||
# enqueued_time_field = "EnqueuedTime"
|
||||
# offset_field = "Offset"
|
||||
# partition_id_tag = "PartitionID"
|
||||
# partition_key_tag = "PartitionKey"
|
||||
# iot_hub_device_connection_id_tag = "IoTHubDeviceConnectionID"
|
||||
# iot_hub_auth_generation_id_tag = "IoTHubAuthGenerationID"
|
||||
# iot_hub_connection_auth_method_tag = "IoTHubConnectionAuthMethod"
|
||||
# iot_hub_connection_module_id_tag = "IoTHubConnectionModuleID"
|
||||
# iot_hub_enqueued_time_field = "IoTHubEnqueuedTime"
|
||||
|
||||
## Data format to consume.
|
||||
## Each data format has its own unique set of configuration options, read
|
||||
## more about them here:
|
||||
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
|
||||
data_format = "influx"
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
# This is an example plugin
|
||||
[[inputs.example]]
|
||||
example_option = "example_value"
|
||||
|
|
@ -0,0 +1,26 @@
|
|||
# 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"
|
||||
]
|
||||
|
||||
## Environment variables
|
||||
## Array of "key=value" pairs to pass as environment variables
|
||||
## e.g. "KEY=value", "USERNAME=John Doe",
|
||||
## "LD_LIBRARY_PATH=/opt/custom/lib64:/usr/local/libs"
|
||||
# environment = []
|
||||
|
||||
## 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"
|
||||
|
|
@ -0,0 +1,30 @@
|
|||
# Run executable as long-running input plugin
|
||||
[[inputs.execd]]
|
||||
## One program to run as daemon.
|
||||
## NOTE: process and each argument should each be their own string
|
||||
command = ["telegraf-smartctl", "-d", "/dev/sda"]
|
||||
|
||||
## Environment variables
|
||||
## Array of "key=value" pairs to pass as environment variables
|
||||
## e.g. "KEY=value", "USERNAME=John Doe",
|
||||
## "LD_LIBRARY_PATH=/opt/custom/lib64:/usr/local/libs"
|
||||
# environment = []
|
||||
|
||||
## Define how the process is signaled on each collection interval.
|
||||
## Valid values are:
|
||||
## "none" : Do not signal anything. (Recommended for service inputs)
|
||||
## The process must output metrics by itself.
|
||||
## "STDIN" : Send a newline on STDIN. (Recommended for gather inputs)
|
||||
## "SIGHUP" : Send a HUP signal. Not available on Windows. (not recommended)
|
||||
## "SIGUSR1" : Send a USR1 signal. Not available on Windows.
|
||||
## "SIGUSR2" : Send a USR2 signal. Not available on Windows.
|
||||
signal = "none"
|
||||
|
||||
## Delay before the process is restarted after an unexpected termination
|
||||
restart_delay = "10s"
|
||||
|
||||
## Data format to consume.
|
||||
## Each data format has its own unique set of configuration options, read
|
||||
## more about them here:
|
||||
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
|
||||
data_format = "influx"
|
||||
|
|
@ -0,0 +1,4 @@
|
|||
# Read metrics from fail2ban.
|
||||
[[inputs.fail2ban]]
|
||||
## Use sudo to run fail2ban-client
|
||||
use_sudo = false
|
||||
|
|
@ -0,0 +1,12 @@
|
|||
# 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"
|
||||
|
|
@ -0,0 +1,27 @@
|
|||
# Parse a complete file each interval
|
||||
[[inputs.file]]
|
||||
## Files to parse each interval. Accept standard unix glob matching rules,
|
||||
## as well as ** to match recursive files and directories.
|
||||
files = ["/tmp/metrics.out"]
|
||||
|
||||
## Character encoding to use when interpreting the file contents. Invalid
|
||||
## characters are replaced using the unicode replacement character. When set
|
||||
## to the empty string the data is not decoded to text.
|
||||
## ex: character_encoding = "utf-8"
|
||||
## character_encoding = "utf-16le"
|
||||
## character_encoding = "utf-16be"
|
||||
## character_encoding = ""
|
||||
# character_encoding = ""
|
||||
|
||||
## Data format to consume.
|
||||
## Each data format has its own unique set of configuration options, read
|
||||
## more about them here:
|
||||
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
|
||||
data_format = "influx"
|
||||
|
||||
|
||||
## Name a tag containing the name of the file the data was parsed from. Leave empty
|
||||
## to disable. Cautious when file name variation is high, this can increase the cardinality
|
||||
## significantly. Read more about cardinality here:
|
||||
## https://docs.influxdata.com/influxdb/cloud/reference/glossary/#series-cardinality
|
||||
# file_tag = ""
|
||||
|
|
@ -0,0 +1,32 @@
|
|||
# Count files in a directory
|
||||
[[inputs.filecount]]
|
||||
## Directories to gather stats about.
|
||||
## This accept standard unit glob matching rules, but with the addition of
|
||||
## ** as a "super asterisk". ie:
|
||||
## /var/log/** -> recursively find all directories in /var/log and count files in each directories
|
||||
## /var/log/*/* -> find all directories with a parent dir in /var/log and count files in each directories
|
||||
## /var/log -> count all files in /var/log and all of its subdirectories
|
||||
directories = ["/var/cache/apt", "/tmp"]
|
||||
|
||||
## Only count files that match the name pattern. Defaults to "*".
|
||||
name = "*"
|
||||
|
||||
## Count files in subdirectories. Defaults to true.
|
||||
recursive = true
|
||||
|
||||
## Only count regular files. Defaults to true.
|
||||
regular_only = true
|
||||
|
||||
## Follow all symlinks while walking the directory tree. Defaults to false.
|
||||
follow_symlinks = false
|
||||
|
||||
## Only count files that are at least this size. If size is
|
||||
## a negative number, only count files that are smaller than the
|
||||
## absolute value of size. Acceptable units are B, KiB, MiB, KB, ...
|
||||
## Without quotes and units, interpreted as size in bytes.
|
||||
size = "0B"
|
||||
|
||||
## Only count files that have not been touched for at least this
|
||||
## duration. If mtime is negative, only count files that have been
|
||||
## touched in this duration. Defaults to "0s".
|
||||
mtime = "0s"
|
||||
|
|
@ -0,0 +1,9 @@
|
|||
# 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". See https://github.com/gobwas/glob.
|
||||
files = ["/etc/telegraf/telegraf.conf", "/var/log/**.log"]
|
||||
|
||||
## If true, read the entire file and calculate an md5 checksum.
|
||||
md5 = false
|
||||
|
|
@ -0,0 +1,10 @@
|
|||
# Read real time temps from fireboard.io servers
|
||||
[[inputs.fireboard]]
|
||||
## Specify auth token for your account
|
||||
auth_token = "invalidAuthToken"
|
||||
## You can override the fireboard server URL if necessary
|
||||
# url = https://fireboard.io/api/v1/devices.json
|
||||
## You can set a different http_timeout if you need to
|
||||
## You should set a string using an number and time indicator
|
||||
## for example "12s" for 12 seconds.
|
||||
# http_timeout = "4s"
|
||||
|
|
@ -0,0 +1,14 @@
|
|||
# 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",
|
||||
]
|
||||
|
|
@ -0,0 +1,24 @@
|
|||
# Gather repository information from GitHub hosted repositories.
|
||||
[[inputs.github]]
|
||||
## List of repositories to monitor
|
||||
repositories = [
|
||||
"influxdata/telegraf",
|
||||
"influxdata/influxdb"
|
||||
]
|
||||
|
||||
## Github API access token. Unauthenticated requests are limited to 60 per hour.
|
||||
# access_token = ""
|
||||
|
||||
## Github API enterprise url. Github Enterprise accounts must specify their base url.
|
||||
# enterprise_base_url = ""
|
||||
|
||||
## Timeout for HTTP requests.
|
||||
# http_timeout = "5s"
|
||||
|
||||
## List of additional fields to query.
|
||||
## NOTE: Getting those fields might involve issuing additional API-calls, so please
|
||||
## make sure you do not exceed the rate-limit of GitHub.
|
||||
##
|
||||
## Available fields are:
|
||||
## - pull-requests -- number of open and closed pull requests (2 API-calls per repository)
|
||||
# additional_fields = []
|
||||
|
|
@ -0,0 +1,68 @@
|
|||
# gNMI telemetry input plugin
|
||||
[[inputs.gnmi]]
|
||||
## Address and port of the gNMI GRPC server
|
||||
addresses = ["10.49.234.114:57777"]
|
||||
|
||||
## define credentials
|
||||
username = "cisco"
|
||||
password = "cisco"
|
||||
|
||||
## gNMI encoding requested (one of: "proto", "json", "json_ietf", "bytes")
|
||||
# encoding = "proto"
|
||||
|
||||
## redial in case of failures after
|
||||
redial = "10s"
|
||||
|
||||
## enable client-side TLS and define CA to authenticate the device
|
||||
# enable_tls = true
|
||||
# tls_ca = "/etc/telegraf/ca.pem"
|
||||
# insecure_skip_verify = true
|
||||
|
||||
## define client-side TLS certificate & key to authenticate to the device
|
||||
# tls_cert = "/etc/telegraf/cert.pem"
|
||||
# tls_key = "/etc/telegraf/key.pem"
|
||||
|
||||
## gNMI subscription prefix (optional, can usually be left empty)
|
||||
## See: https://github.com/openconfig/reference/blob/master/rpc/gnmi/gnmi-specification.md#222-paths
|
||||
# origin = ""
|
||||
# prefix = ""
|
||||
# target = ""
|
||||
|
||||
## Define additional aliases to map telemetry encoding paths to simple measurement names
|
||||
# [inputs.gnmi.aliases]
|
||||
# ifcounters = "openconfig:/interfaces/interface/state/counters"
|
||||
|
||||
[[inputs.gnmi.subscription]]
|
||||
## Name of the measurement that will be emitted
|
||||
name = "ifcounters"
|
||||
|
||||
## Origin and path of the subscription
|
||||
## See: https://github.com/openconfig/reference/blob/master/rpc/gnmi/gnmi-specification.md#222-paths
|
||||
##
|
||||
## origin usually refers to a (YANG) data model implemented by the device
|
||||
## and path to a specific substructure inside it that should be subscribed to (similar to an XPath)
|
||||
## YANG models can be found e.g. here: https://github.com/YangModels/yang/tree/master/vendor/cisco/xr
|
||||
origin = "openconfig-interfaces"
|
||||
path = "/interfaces/interface/state/counters"
|
||||
|
||||
# Subscription mode (one of: "target_defined", "sample", "on_change") and interval
|
||||
subscription_mode = "sample"
|
||||
sample_interval = "10s"
|
||||
|
||||
## Suppress redundant transmissions when measured values are unchanged
|
||||
# suppress_redundant = false
|
||||
|
||||
## If suppression is enabled, send updates at least every X seconds anyway
|
||||
# heartbeat_interval = "60s"
|
||||
|
||||
#[[inputs.gnmi.subscription]]
|
||||
# name = "descr"
|
||||
# origin = "openconfig-interfaces"
|
||||
# path = "/interfaces/interface/state/description"
|
||||
# subscription_mode = "on_change"
|
||||
|
||||
## If tag_only is set, the subscription in question will be utilized to maintain a map of
|
||||
## tags to apply to other measurements emitted by the plugin, by matching path keys
|
||||
## All fields from the tag-only subscription will be applied as tags to other readings,
|
||||
## in the format <name>_<fieldBase>.
|
||||
# tag_only = true
|
||||
|
|
@ -0,0 +1,38 @@
|
|||
# Read flattened metrics from one or more GrayLog HTTP endpoints
|
||||
[[inputs.graylog]]
|
||||
## API endpoint, currently supported API:
|
||||
##
|
||||
## - multiple (e.g. http://<host>:9000/api/system/metrics/multiple)
|
||||
## - namespace (e.g. http://<host>:9000/api/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]:9000/api/api-browser for full list
|
||||
## of endpoints
|
||||
servers = [
|
||||
"http://[graylog-server-ip]:9000/api/system/metrics/multiple",
|
||||
]
|
||||
|
||||
## Set timeout (default 5 seconds)
|
||||
# timeout = "5s"
|
||||
|
||||
## Metrics list
|
||||
## List of metrics can be found on Graylog webservice documentation.
|
||||
## Or by hitting the web service api at:
|
||||
## http://[graylog-host]:9000/api/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
|
||||
|
|
@ -0,0 +1,30 @@
|
|||
# Read metrics of HAProxy, via socket or HTTP 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
|
||||
|
||||
## Credentials for basic HTTP authentication
|
||||
# username = "admin"
|
||||
# password = "admin"
|
||||
|
||||
## If no servers are specified, then default to 127.0.0.1:1936/haproxy?stats
|
||||
servers = ["http://myhaproxy.com:1936/haproxy?stats"]
|
||||
|
||||
## 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
|
||||
|
|
@ -0,0 +1,11 @@
|
|||
# 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", "*"]
|
||||
|
|
@ -0,0 +1,66 @@
|
|||
# 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"}
|
||||
|
||||
## HTTP entity-body to send with POST/PUT requests.
|
||||
# body = ""
|
||||
|
||||
## HTTP Content-Encoding for write request body, can be set to "gzip" to
|
||||
## compress body or "identity" to apply no encoding.
|
||||
# content_encoding = "identity"
|
||||
|
||||
## Optional file with Bearer token
|
||||
## file content is added as an Authorization header
|
||||
# bearer_token = "/path/to/file"
|
||||
|
||||
## Optional HTTP Basic Auth Credentials
|
||||
# username = "username"
|
||||
# password = "pa$$word"
|
||||
|
||||
## OAuth2 Client Credentials. The options 'client_id', 'client_secret', and 'token_url' are required to use OAuth2.
|
||||
# client_id = "clientid"
|
||||
# client_secret = "secret"
|
||||
# token_url = "https://indentityprovider/oauth2/v1/token"
|
||||
# scopes = ["urn:opc:idm:__myscopes__"]
|
||||
|
||||
## HTTP Proxy support
|
||||
# http_proxy_url = ""
|
||||
|
||||
## Optional TLS Config
|
||||
# tls_ca = "/etc/telegraf/ca.pem"
|
||||
# tls_cert = "/etc/telegraf/cert.pem"
|
||||
# tls_key = "/etc/telegraf/key.pem"
|
||||
## Use TLS but skip chain & host verification
|
||||
# insecure_skip_verify = false
|
||||
|
||||
## Optional Cookie authentication
|
||||
# cookie_auth_url = "https://localhost/authMe"
|
||||
# cookie_auth_method = "POST"
|
||||
# cookie_auth_username = "username"
|
||||
# cookie_auth_password = "pa$$word"
|
||||
# cookie_auth_headers = '{"Content-Type": "application/json", "X-MY-HEADER":"hello"}'
|
||||
# cookie_auth_body = '{"username": "user", "password": "pa$$word", "authenticate": "me"}'
|
||||
## cookie_auth_renewal not set or set to "0" will auth once and never renew the cookie
|
||||
# cookie_auth_renewal = "5m"
|
||||
|
||||
## Amount of time allowed to complete the HTTP request
|
||||
# timeout = "5s"
|
||||
|
||||
## List of success status codes
|
||||
# success_status_codes = [200]
|
||||
|
||||
## Data format to consume.
|
||||
## Each data format has its own unique set of configuration options, read
|
||||
## more about them here:
|
||||
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
|
||||
# data_format = "influx"
|
||||
|
||||
|
|
@ -0,0 +1,50 @@
|
|||
# Generic HTTP write listener
|
||||
[[inputs.http_listener_v2]]
|
||||
## Address and port to host HTTP listener on
|
||||
service_address = ":8080"
|
||||
|
||||
## Paths to listen to.
|
||||
# paths = ["/telegraf"]
|
||||
|
||||
## Save path as http_listener_v2_path tag if set to true
|
||||
# path_tag = false
|
||||
|
||||
## HTTP methods to accept.
|
||||
# methods = ["POST", "PUT"]
|
||||
|
||||
## maximum duration before timing out read of the request
|
||||
# read_timeout = "10s"
|
||||
## maximum duration before timing out write of the response
|
||||
# write_timeout = "10s"
|
||||
|
||||
## Maximum allowed http request body size in bytes.
|
||||
## 0 means to use the default of 524,288,000 bytes (500 mebibytes)
|
||||
# max_body_size = "500MB"
|
||||
|
||||
## Part of the request to consume. Available options are "body" and
|
||||
## "query".
|
||||
# data_source = "body"
|
||||
|
||||
## Set one or more allowed client CA certificate file names to
|
||||
## enable mutually authenticated TLS connections
|
||||
# tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
|
||||
|
||||
## Add service certificate and key
|
||||
# tls_cert = "/etc/telegraf/cert.pem"
|
||||
# tls_key = "/etc/telegraf/key.pem"
|
||||
|
||||
## Optional username and password to accept for HTTP basic authentication.
|
||||
## You probably want to make sure you have TLS configured above for this.
|
||||
# basic_username = "foobar"
|
||||
# basic_password = "barfoo"
|
||||
|
||||
## Optional setting to map http headers into tags
|
||||
## If the http header is not present on the request, no corresponding tag will be added
|
||||
## If multiple instances of the http header are present, only the first value will be used
|
||||
# http_header_tags = {"HTTP_HEADER" = "TAG_NAME"}
|
||||
|
||||
## Data format to consume.
|
||||
## Each data format has its own unique set of configuration options, read
|
||||
## more about them here:
|
||||
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
|
||||
data_format = "influx"
|
||||
|
|
@ -0,0 +1,70 @@
|
|||
# HTTP/HTTPS request given an address a method and a timeout
|
||||
[[inputs.http_response]]
|
||||
## List of urls to query.
|
||||
# urls = ["http://localhost"]
|
||||
|
||||
## Set http_proxy (telegraf uses the system wide proxy settings if it's is not set)
|
||||
# http_proxy = "http://localhost:8888"
|
||||
|
||||
## Set response_timeout (default 5 seconds)
|
||||
# response_timeout = "5s"
|
||||
|
||||
## HTTP Request Method
|
||||
# method = "GET"
|
||||
|
||||
## Whether to follow redirects from the server (defaults to false)
|
||||
# follow_redirects = false
|
||||
|
||||
## Optional file with Bearer token
|
||||
## file content is added as an Authorization header
|
||||
# bearer_token = "/path/to/file"
|
||||
|
||||
## Optional HTTP Basic Auth Credentials
|
||||
# username = "username"
|
||||
# password = "pa$$word"
|
||||
|
||||
## Optional HTTP Request Body
|
||||
# body = '''
|
||||
# {'fake':'data'}
|
||||
# '''
|
||||
|
||||
## Optional name of the field that will contain the body of the response.
|
||||
## By default it is set to an empty String indicating that the body's content won't be added
|
||||
# response_body_field = ''
|
||||
|
||||
## Maximum allowed HTTP response body size in bytes.
|
||||
## 0 means to use the default of 32MiB.
|
||||
## If the response body size exceeds this limit a "body_read_error" will be raised
|
||||
# response_body_max_size = "32MiB"
|
||||
|
||||
## Optional substring or regex match in body of the response (case sensitive)
|
||||
# response_string_match = "\"service_status\": \"up\""
|
||||
# response_string_match = "ok"
|
||||
# response_string_match = "\".*_status\".?:.?\"up\""
|
||||
|
||||
## Expected response status code.
|
||||
## The status code of the response is compared to this value. If they match, the field
|
||||
## "response_status_code_match" will be 1, otherwise it will be 0. If the
|
||||
## expected status code is 0, the check is disabled and the field won't be added.
|
||||
# response_status_code = 0
|
||||
|
||||
## Optional TLS Config
|
||||
# tls_ca = "/etc/telegraf/ca.pem"
|
||||
# tls_cert = "/etc/telegraf/cert.pem"
|
||||
# tls_key = "/etc/telegraf/key.pem"
|
||||
## Use TLS but skip chain & host verification
|
||||
# insecure_skip_verify = false
|
||||
## Use the given name as the SNI server name on each URL
|
||||
# tls_server_name = ""
|
||||
|
||||
## HTTP Request Headers (all values must be strings)
|
||||
# [inputs.http_response.headers]
|
||||
# Host = "github.com"
|
||||
|
||||
## Optional setting to map response http headers into tags
|
||||
## If the http header is not present on the request, no corresponding tag will be added
|
||||
## If multiple instances of the http header are present, only the first value will be used
|
||||
# http_header_tags = {"HTTP_HEADER" = "TAG_NAME"}
|
||||
|
||||
## Interface to use when dialing an address
|
||||
# interface = "eth0"
|
||||
|
|
@ -0,0 +1,46 @@
|
|||
# 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"
|
||||
|
||||
## Tags 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 Request 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 Request Headers (all values must be strings).
|
||||
# [inputs.httpjson.headers]
|
||||
# X-Auth-Token = "my-xauth-token"
|
||||
# apiVersion = "v1"
|
||||
|
|
@ -0,0 +1,7 @@
|
|||
# Gathers huge pages measurements.
|
||||
[[inputs.hugepages]]
|
||||
## Supported huge page types:
|
||||
## - "root" - based on root huge page control directory: /sys/kernel/mm/hugepages
|
||||
## - "per_node" - based on per NUMA node directories: /sys/devices/system/node/node[0-9]*/hugepages
|
||||
## - "meminfo" - based on /proc/meminfo file
|
||||
# types = ["root", "per_node"]
|
||||
|
|
@ -0,0 +1,21 @@
|
|||
# Gather Icinga2 status
|
||||
[[inputs.icinga2]]
|
||||
## Required Icinga2 server address
|
||||
# server = "https://localhost:5665"
|
||||
|
||||
## Required Icinga2 object type ("services" or "hosts")
|
||||
# object_type = "services"
|
||||
|
||||
## Credentials for basic HTTP authentication
|
||||
# username = "admin"
|
||||
# password = "admin"
|
||||
|
||||
## Maximum time to receive response.
|
||||
# response_timeout = "5s"
|
||||
|
||||
## Optional TLS Config
|
||||
# tls_ca = "/etc/telegraf/ca.pem"
|
||||
# tls_cert = "/etc/telegraf/cert.pem"
|
||||
# tls_key = "/etc/telegraf/key.pem"
|
||||
## Use TLS but skip chain & host verification
|
||||
# insecure_skip_verify = true
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
# Gets counters from all InfiniBand cards and ports installed
|
||||
[[inputs.infiniband]]
|
||||
# no configuration
|
||||
|
|
@ -0,0 +1,25 @@
|
|||
# Read InfluxDB-formatted JSON metrics from one or more HTTP endpoints
|
||||
[[inputs.influxdb]]
|
||||
## Works with InfluxDB debug endpoints out of the box,
|
||||
## but other services can use this format too.
|
||||
## See the influxdb plugin's README for more details.
|
||||
|
||||
## Multiple URLs from which to read InfluxDB-formatted JSON
|
||||
## Default is "http://localhost:8086/debug/vars".
|
||||
urls = [
|
||||
"http://localhost:8086/debug/vars"
|
||||
]
|
||||
|
||||
## Username and password to send using HTTP Basic Authentication.
|
||||
# username = ""
|
||||
# password = ""
|
||||
|
||||
## Optional TLS Config
|
||||
# tls_ca = "/etc/telegraf/ca.pem"
|
||||
# tls_cert = "/etc/telegraf/cert.pem"
|
||||
# tls_key = "/etc/telegraf/key.pem"
|
||||
## Use TLS but skip chain & host verification
|
||||
# insecure_skip_verify = false
|
||||
|
||||
## http request & header timeout
|
||||
timeout = "5s"
|
||||
|
|
@ -0,0 +1,47 @@
|
|||
# Accept metrics over InfluxDB 1.x HTTP API
|
||||
[[inputs.influxdb_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 32MiB.
|
||||
max_body_size = 0
|
||||
|
||||
## Maximum line size allowed to be sent in bytes.
|
||||
## deprecated in 1.14; parser now handles lines of unlimited length and option is ignored
|
||||
# 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 tag name used to store the database name.
|
||||
## If the write has a database in the query string then it will be kept in this tag name.
|
||||
## This tag can be used in downstream outputs.
|
||||
## The default value of nothing means it will be off and the database will not be recorded.
|
||||
## If you have a tag that is the same as the one specified below, and supply a database,
|
||||
## the tag will be overwritten with the database supplied.
|
||||
# database_tag = ""
|
||||
|
||||
## If set the retention policy specified in the write query will be added as
|
||||
## the value of this tag name.
|
||||
# retention_policy_tag = ""
|
||||
|
||||
## 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"
|
||||
|
||||
## Influx line protocol parser
|
||||
## 'internal' is the default. 'upstream' is a newer parser that is faster
|
||||
## and more memory efficient.
|
||||
# parser_type = "internal"
|
||||
|
|
@ -0,0 +1,32 @@
|
|||
# Accept metrics over InfluxDB 2.x HTTP API
|
||||
[[inputs.influxdb_v2_listener]]
|
||||
## Address and port to host InfluxDB listener on
|
||||
## (Double check the port. Could be 9999 if using OSS Beta)
|
||||
service_address = ":8086"
|
||||
|
||||
## Maximum allowed HTTP request body size in bytes.
|
||||
## 0 means to use the default of 32MiB.
|
||||
# max_body_size = "32MiB"
|
||||
|
||||
## Optional tag to determine the bucket.
|
||||
## If the write has a bucket in the query string then it will be kept in this tag name.
|
||||
## This tag can be used in downstream outputs.
|
||||
## The default value of nothing means it will be off and the database will not be recorded.
|
||||
# bucket_tag = ""
|
||||
|
||||
## Set one or more allowed client CA certificate file names to
|
||||
## enable mutually authenticated TLS connections
|
||||
# tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"]
|
||||
|
||||
## Add service certificate and key
|
||||
# tls_cert = "/etc/telegraf/cert.pem"
|
||||
# tls_key = "/etc/telegraf/key.pem"
|
||||
|
||||
## Optional token to accept for HTTP authentication.
|
||||
## You probably want to make sure you have TLS configured above for this.
|
||||
# token = "some-long-shared-secret-token"
|
||||
|
||||
## Influx line protocol parser
|
||||
## 'internal' is the default. 'upstream' is a newer parser that is faster
|
||||
## and more memory efficient.
|
||||
# parser_type = "internal"
|
||||
|
|
@ -0,0 +1,47 @@
|
|||
# Intel Performance Monitoring Unit plugin exposes Intel PMU metrics available through Linux Perf subsystem
|
||||
[[inputs.intel_pmu]]
|
||||
## List of filesystem locations of JSON files that contain PMU event definitions.
|
||||
event_definitions = ["/var/cache/pmu/GenuineIntel-6-55-4-core.json", "/var/cache/pmu/GenuineIntel-6-55-4-uncore.json"]
|
||||
|
||||
## List of core events measurement entities. There can be more than one core_events sections.
|
||||
[[inputs.intel_pmu.core_events]]
|
||||
## List of events to be counted. Event names shall match names from event_definitions files.
|
||||
## Single entry can contain name of the event (case insensitive) augmented with config options and perf modifiers.
|
||||
## If absent, all core events from provided event_definitions are counted skipping unresolvable ones.
|
||||
events = ["INST_RETIRED.ANY", "CPU_CLK_UNHALTED.THREAD_ANY:config1=0x4043200000000k"]
|
||||
|
||||
## Limits the counting of events to core numbers specified.
|
||||
## If absent, events are counted on all cores.
|
||||
## Single "0", multiple "0,1,2" and range "0-2" notation is supported for each array element.
|
||||
## example: cores = ["0,2", "4", "12-16"]
|
||||
cores = ["0"]
|
||||
|
||||
## Indicator that plugin shall attempt to run core_events.events as a single perf group.
|
||||
## If absent or set to false, each event is counted individually. Defaults to false.
|
||||
## This limits the number of events that can be measured to a maximum of available hardware counters per core.
|
||||
## Could vary depending on type of event, use of fixed counters.
|
||||
# perf_group = false
|
||||
|
||||
## Optionally set a custom tag value that will be added to every measurement within this events group.
|
||||
## Can be applied to any group of events, unrelated to perf_group setting.
|
||||
# events_tag = ""
|
||||
|
||||
## List of uncore event measurement entities. There can be more than one uncore_events sections.
|
||||
[[inputs.intel_pmu.uncore_events]]
|
||||
## List of events to be counted. Event names shall match names from event_definitions files.
|
||||
## Single entry can contain name of the event (case insensitive) augmented with config options and perf modifiers.
|
||||
## If absent, all uncore events from provided event_definitions are counted skipping unresolvable ones.
|
||||
events = ["UNC_CHA_CLOCKTICKS", "UNC_CHA_TOR_OCCUPANCY.IA_MISS"]
|
||||
|
||||
## Limits the counting of events to specified sockets.
|
||||
## If absent, events are counted on all sockets.
|
||||
## Single "0", multiple "0,1" and range "0-1" notation is supported for each array element.
|
||||
## example: sockets = ["0-2"]
|
||||
sockets = ["0"]
|
||||
|
||||
## Indicator that plugin shall provide an aggregated value for multiple units of same type distributed in an uncore.
|
||||
## If absent or set to false, events for each unit are exposed as separate metric. Defaults to false.
|
||||
# aggregate_uncore_units = false
|
||||
|
||||
## Optionally set a custom tag value that will be added to every measurement within this events group.
|
||||
# events_tag = ""
|
||||
|
|
@ -0,0 +1,9 @@
|
|||
# Intel PowerStat plugin enables monitoring of platform metrics (power, TDP) and per-CPU metrics like temperature, power and utilization.
|
||||
[[inputs.intel_powerstat]]
|
||||
## All global metrics are always collected by Intel PowerStat plugin.
|
||||
## User can choose which per-CPU metrics are monitored by the plugin in cpu_metrics array.
|
||||
## Empty array means no per-CPU specific metrics will be collected by the plugin - in this case only platform level
|
||||
## telemetry will be exposed by Intel PowerStat plugin.
|
||||
## Supported options:
|
||||
## "cpu_frequency", "cpu_busy_frequency", "cpu_temperature", "cpu_c1_state_residency", "cpu_c6_state_residency", "cpu_busy_cycles"
|
||||
# cpu_metrics = []
|
||||
|
|
@ -0,0 +1,28 @@
|
|||
# Read Intel RDT metrics
|
||||
[[inputs.intel_rdt]]
|
||||
## Optionally set sampling interval to Nx100ms.
|
||||
## This value is propagated to pqos tool. Interval format is defined by pqos itself.
|
||||
## If not provided or provided 0, will be set to 10 = 10x100ms = 1s.
|
||||
# sampling_interval = "10"
|
||||
|
||||
## Optionally specify the path to pqos executable.
|
||||
## If not provided, auto discovery will be performed.
|
||||
# pqos_path = "/usr/local/bin/pqos"
|
||||
|
||||
## Optionally specify if IPC and LLC_Misses metrics shouldn't be propagated.
|
||||
## If not provided, default value is false.
|
||||
# shortened_metrics = false
|
||||
|
||||
## Specify the list of groups of CPU core(s) to be provided as pqos input.
|
||||
## Mandatory if processes aren't set and forbidden if processes are specified.
|
||||
## e.g. ["0-3", "4,5,6"] or ["1-3,4"]
|
||||
# cores = ["0-3"]
|
||||
|
||||
## Specify the list of processes for which Metrics will be collected.
|
||||
## Mandatory if cores aren't set and forbidden if cores are specified.
|
||||
## e.g. ["qemu", "pmd"]
|
||||
# processes = ["process"]
|
||||
|
||||
## Specify if the pqos process should be called with sudo.
|
||||
## Mandatory if the telegraf process does not run as root.
|
||||
# use_sudo = false
|
||||
|
|
@ -0,0 +1,4 @@
|
|||
# Collect statistics about itself
|
||||
[[inputs.internal]]
|
||||
## If true, collect telegraf memory stats.
|
||||
# collect_memstats = true
|
||||
|
|
@ -0,0 +1,7 @@
|
|||
# Monitors internet speed using speedtest.net service
|
||||
[[inputs.internet_speed]]
|
||||
## Sets if runs file download test
|
||||
# enable_file_download = false
|
||||
|
||||
## Caches the closest server location
|
||||
# cache = false
|
||||
|
|
@ -0,0 +1,13 @@
|
|||
# This plugin gathers interrupts data from /proc/interrupts and /proc/softirqs.
|
||||
[[inputs.interrupts]]
|
||||
## When set to true, cpu metrics are tagged with the cpu. Otherwise cpu is
|
||||
## stored as a field.
|
||||
##
|
||||
## The default is false for backwards compatibility, and will be changed to
|
||||
## true in a future version. It is recommended to set to true on new
|
||||
## deployments.
|
||||
# cpu_as_tag = false
|
||||
|
||||
## To filter which IRQs to collect, make use of tagpass / tagdrop, i.e.
|
||||
# [inputs.interrupts.tagdrop]
|
||||
# irq = [ "NET_RX", "TASKLET" ]
|
||||
|
|
@ -0,0 +1,43 @@
|
|||
# Read metrics from the bare metal servers via IPMI
|
||||
[[inputs.ipmi_sensor]]
|
||||
## optionally specify the path to the ipmitool executable
|
||||
# path = "/usr/bin/ipmitool"
|
||||
##
|
||||
## Setting 'use_sudo' to true will make use of sudo to run ipmitool.
|
||||
## Sudo must be configured to allow the telegraf user to run ipmitool
|
||||
## without a password.
|
||||
# use_sudo = false
|
||||
##
|
||||
## optionally force session privilege level. Can be CALLBACK, USER, OPERATOR, ADMINISTRATOR
|
||||
# privilege = "ADMINISTRATOR"
|
||||
##
|
||||
## optionally specify one or more servers via a url matching
|
||||
## [username[:password]@][protocol[(address)]]
|
||||
## e.g.
|
||||
## root:passwd@lan(127.0.0.1)
|
||||
##
|
||||
## if no servers are specified, local machine sensor stats will be queried
|
||||
##
|
||||
# servers = ["USERID:PASSW0RD@lan(192.168.1.1)"]
|
||||
|
||||
## Recommended: use metric 'interval' that is a multiple of 'timeout' to avoid
|
||||
## gaps or overlap in pulled data
|
||||
interval = "30s"
|
||||
|
||||
## Timeout for the ipmitool command to complete. Default is 20 seconds.
|
||||
timeout = "20s"
|
||||
|
||||
## Schema Version: (Optional, defaults to version 1)
|
||||
metric_version = 2
|
||||
|
||||
## Optionally provide the hex key for the IMPI connection.
|
||||
# hex_key = ""
|
||||
|
||||
## If ipmitool should use a cache
|
||||
## for me ipmitool runs about 2 to 10 times faster with cache enabled on HP G10 servers (when using ubuntu20.04)
|
||||
## the cache file may not work well for you if some sensors come up late
|
||||
# use_cache = false
|
||||
|
||||
## Path to the ipmitools cache file (defaults to OS temp dir)
|
||||
## The provided path must exist and must be writable
|
||||
# cache_path = ""
|
||||
|
|
@ -0,0 +1,12 @@
|
|||
# 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")
|
||||
## You can avoid using sudo or root, by setting appropriate privileges for
|
||||
## the telegraf.service systemd service.
|
||||
use_sudo = false
|
||||
## The default timeout of 1s for ipset execution can be overridden here:
|
||||
# timeout = "1s"
|
||||
|
||||
|
|
@ -0,0 +1,18 @@
|
|||
# Gather packets and bytes throughput from iptables
|
||||
[[inputs.iptables]]
|
||||
## iptables require root access on most systems.
|
||||
## Setting 'use_sudo' to true will make use of sudo to run iptables.
|
||||
## Users must configure sudo to allow telegraf user to run iptables with no password.
|
||||
## iptables can be restricted to only list command "iptables -nvL".
|
||||
use_sudo = false
|
||||
## Setting 'use_lock' to true runs iptables with the "-w" option.
|
||||
## Adjust your sudo settings appropriately if using this option ("iptables -w 5 -nvl")
|
||||
use_lock = false
|
||||
## Define an alternate executable, such as "ip6tables". Default is "iptables".
|
||||
# binary = "ip6tables"
|
||||
## defines the table to monitor:
|
||||
table = "filter"
|
||||
## defines the chains to monitor.
|
||||
## NOTE: iptables rules without a comment will not be monitored.
|
||||
## Read the plugin documentation for more information.
|
||||
chains = [ "INPUT" ]
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
# Collect virtual and real server stats from Linux IPVS
|
||||
[[inputs.ipvs]]
|
||||
# no configuration
|
||||
|
|
@ -0,0 +1,47 @@
|
|||
# Read jobs and cluster metrics from Jenkins instances
|
||||
[[inputs.jenkins]]
|
||||
## The Jenkins URL in the format "schema://host:port"
|
||||
url = "http://my-jenkins-instance:8080"
|
||||
# username = "admin"
|
||||
# password = "admin"
|
||||
|
||||
## Set response_timeout
|
||||
response_timeout = "5s"
|
||||
|
||||
## Optional TLS Config
|
||||
# tls_ca = "/etc/telegraf/ca.pem"
|
||||
# tls_cert = "/etc/telegraf/cert.pem"
|
||||
# tls_key = "/etc/telegraf/key.pem"
|
||||
## Use SSL but skip chain & host verification
|
||||
# insecure_skip_verify = false
|
||||
|
||||
## Optional Max Job Build Age filter
|
||||
## Default 1 hour, ignore builds older than max_build_age
|
||||
# max_build_age = "1h"
|
||||
|
||||
## Optional Sub Job Depth filter
|
||||
## Jenkins can have unlimited layer of sub jobs
|
||||
## This config will limit the layers of pulling, default value 0 means
|
||||
## unlimited pulling until no more sub jobs
|
||||
# max_subjob_depth = 0
|
||||
|
||||
## Optional Sub Job Per Layer
|
||||
## In workflow-multibranch-plugin, each branch will be created as a sub job.
|
||||
## This config will limit to call only the lasted branches in each layer,
|
||||
## empty will use default value 10
|
||||
# max_subjob_per_layer = 10
|
||||
|
||||
## Jobs to include or exclude from gathering
|
||||
## When using both lists, job_exclude has priority.
|
||||
## Wildcards are supported: [ "jobA/*", "jobB/subjob1/*"]
|
||||
# job_include = [ "*" ]
|
||||
# job_exclude = [ ]
|
||||
|
||||
## Nodes to include or exclude from gathering
|
||||
## When using both lists, node_exclude has priority.
|
||||
# node_include = [ "*" ]
|
||||
# node_exclude = [ ]
|
||||
|
||||
## Worker pool for jenkins plugin only
|
||||
## Empty this field will use default value 5
|
||||
# max_connections = 5
|
||||
|
|
@ -0,0 +1,54 @@
|
|||
# Read JMX metrics through Jolokia
|
||||
[[inputs.jolokia]]
|
||||
## 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
|
||||
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"
|
||||
|
||||
## 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"
|
||||
|
|
@ -0,0 +1,24 @@
|
|||
# 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"]
|
||||
|
||||
|
|
@ -0,0 +1,31 @@
|
|||
# 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"]
|
||||
|
|
@ -0,0 +1,49 @@
|
|||
# Subscribe and receive OpenConfig Telemetry data using JTI
|
||||
[[inputs.jti_openconfig_telemetry]]
|
||||
## List of device addresses to collect telemetry from
|
||||
servers = ["localhost:1883"]
|
||||
|
||||
## Authentication details. Username and password are must if device expects
|
||||
## authentication. Client ID must be unique when connecting from multiple instances
|
||||
## of telegraf to the same device
|
||||
username = "user"
|
||||
password = "pass"
|
||||
client_id = "telegraf"
|
||||
|
||||
## Frequency to get data
|
||||
sample_frequency = "1000ms"
|
||||
|
||||
## Sensors to subscribe for
|
||||
## A identifier for each sensor can be provided in path by separating with space
|
||||
## Else sensor path will be used as identifier
|
||||
## When identifier is used, we can provide a list of space separated sensors.
|
||||
## A single subscription will be created with all these sensors and data will
|
||||
## be saved to measurement with this identifier name
|
||||
sensors = [
|
||||
"/interfaces/",
|
||||
"collection /components/ /lldp",
|
||||
]
|
||||
|
||||
## We allow specifying sensor group level reporting rate. To do this, specify the
|
||||
## reporting rate in Duration at the beginning of sensor paths / collection
|
||||
## name. For entries without reporting rate, we use configured sample frequency
|
||||
sensors = [
|
||||
"1000ms customReporting /interfaces /lldp",
|
||||
"2000ms collection /components",
|
||||
"/interfaces",
|
||||
]
|
||||
|
||||
## Optional TLS Config
|
||||
# enable_tls = true
|
||||
# tls_ca = "/etc/telegraf/ca.pem"
|
||||
# tls_cert = "/etc/telegraf/cert.pem"
|
||||
# tls_key = "/etc/telegraf/key.pem"
|
||||
## Use TLS but skip chain & host verification
|
||||
# insecure_skip_verify = false
|
||||
|
||||
## Delay between retry attempts of failed RPC calls or streams. Defaults to 1000ms.
|
||||
## Failed streams/calls will not be retried if 0 is provided
|
||||
retry_delay = "1000ms"
|
||||
|
||||
## To treat all string values as tags, set this to true
|
||||
str_as_tags = false
|
||||
|
|
@ -0,0 +1,99 @@
|
|||
# Read metrics from Kafka topics
|
||||
[[inputs.kafka_consumer]]
|
||||
## Kafka brokers.
|
||||
brokers = ["localhost:9092"]
|
||||
|
||||
## Topics to consume.
|
||||
topics = ["telegraf"]
|
||||
|
||||
## When set this tag will be added to all metrics with the topic as the value.
|
||||
# topic_tag = ""
|
||||
|
||||
## Optional Client id
|
||||
# client_id = "Telegraf"
|
||||
|
||||
## Set the minimal supported Kafka version. Setting this enables the use of new
|
||||
## Kafka features and APIs. Must be 0.10.2.0 or greater.
|
||||
## ex: version = "1.1.0"
|
||||
# version = ""
|
||||
|
||||
## Optional TLS Config
|
||||
# tls_ca = "/etc/telegraf/ca.pem"
|
||||
# tls_cert = "/etc/telegraf/cert.pem"
|
||||
# tls_key = "/etc/telegraf/key.pem"
|
||||
## Use TLS but skip chain & host verification
|
||||
# insecure_skip_verify = false
|
||||
|
||||
## SASL authentication credentials. These settings should typically be used
|
||||
## with TLS encryption enabled
|
||||
# sasl_username = "kafka"
|
||||
# sasl_password = "secret"
|
||||
|
||||
## Optional SASL:
|
||||
## one of: OAUTHBEARER, PLAIN, SCRAM-SHA-256, SCRAM-SHA-512, GSSAPI
|
||||
## (defaults to PLAIN)
|
||||
# sasl_mechanism = ""
|
||||
|
||||
## used if sasl_mechanism is GSSAPI (experimental)
|
||||
# sasl_gssapi_service_name = ""
|
||||
# ## One of: KRB5_USER_AUTH and KRB5_KEYTAB_AUTH
|
||||
# sasl_gssapi_auth_type = "KRB5_USER_AUTH"
|
||||
# sasl_gssapi_kerberos_config_path = "/"
|
||||
# sasl_gssapi_realm = "realm"
|
||||
# sasl_gssapi_key_tab_path = ""
|
||||
# sasl_gssapi_disable_pafxfast = false
|
||||
|
||||
## used if sasl_mechanism is OAUTHBEARER (experimental)
|
||||
# sasl_access_token = ""
|
||||
|
||||
## SASL protocol version. When connecting to Azure EventHub set to 0.
|
||||
# sasl_version = 1
|
||||
|
||||
# Disable Kafka metadata full fetch
|
||||
# metadata_full = false
|
||||
|
||||
## Name of the consumer group.
|
||||
# consumer_group = "telegraf_metrics_consumers"
|
||||
|
||||
## Compression codec represents the various compression codecs recognized by
|
||||
## Kafka in messages.
|
||||
## 0 : None
|
||||
## 1 : Gzip
|
||||
## 2 : Snappy
|
||||
## 3 : LZ4
|
||||
## 4 : ZSTD
|
||||
# compression_codec = 0
|
||||
## Initial offset position; one of "oldest" or "newest".
|
||||
# offset = "oldest"
|
||||
|
||||
## Consumer group partition assignment strategy; one of "range", "roundrobin" or "sticky".
|
||||
# balance_strategy = "range"
|
||||
|
||||
## Maximum length of a message to consume, in bytes (default 0/unlimited);
|
||||
## larger messages are dropped
|
||||
max_message_len = 1000000
|
||||
|
||||
## Maximum messages to read from the broker that have not been written by an
|
||||
## output. For best throughput set based on the number of metrics within
|
||||
## each message and the size of the output's metric_batch_size.
|
||||
##
|
||||
## For example, if each message from the queue contains 10 metrics and the
|
||||
## output metric_batch_size is 1000, setting this to 100 will ensure that a
|
||||
## full batch is collected and the write is triggered immediately without
|
||||
## waiting until the next flush_interval.
|
||||
# max_undelivered_messages = 1000
|
||||
|
||||
## Maximum amount of time the consumer should take to process messages. If
|
||||
## the debug log prints messages from sarama about 'abandoning subscription
|
||||
## to [topic] because consuming was taking too long', increase this value to
|
||||
## longer than the time taken by the output plugin(s).
|
||||
##
|
||||
## Note that the effective timeout could be between 'max_processing_time' and
|
||||
## '2 * max_processing_time'.
|
||||
# max_processing_time = "100ms"
|
||||
|
||||
## Data format to consume.
|
||||
## Each data format has its own unique set of configuration options, read
|
||||
## more about them here:
|
||||
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
|
||||
data_format = "influx"
|
||||
|
|
@ -0,0 +1,27 @@
|
|||
## DEPRECATED: The 'kafka_consumer_legacy' plugin is deprecated in version 1.4.0, use 'inputs.kafka_consumer' instead, NOTE: 'kafka_consumer' only supports Kafka v0.8+.
|
||||
# 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
|
||||
|
|
@ -0,0 +1,17 @@
|
|||
# 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
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
# Get kernel statistics from /proc/stat
|
||||
[[inputs.kernel]]
|
||||
# no configuration
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
# Get kernel statistics from /proc/vmstat
|
||||
[[inputs.kernel_vmstat]]
|
||||
# no configuration
|
||||
|
|
@ -0,0 +1,18 @@
|
|||
# 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
|
||||
|
|
@ -0,0 +1,66 @@
|
|||
# Configuration for the AWS Kinesis input.
|
||||
[[inputs.kinesis_consumer]]
|
||||
## Amazon REGION of kinesis endpoint.
|
||||
region = "ap-southeast-2"
|
||||
|
||||
## Amazon Credentials
|
||||
## Credentials are loaded in the following order
|
||||
## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified
|
||||
## 2) Assumed credentials via STS if role_arn is specified
|
||||
## 3) explicit credentials from 'access_key' and 'secret_key'
|
||||
## 4) shared profile from 'profile'
|
||||
## 5) environment variables
|
||||
## 6) shared credentials file
|
||||
## 7) EC2 Instance Profile
|
||||
# access_key = ""
|
||||
# secret_key = ""
|
||||
# token = ""
|
||||
# role_arn = ""
|
||||
# web_identity_token_file = ""
|
||||
# role_session_name = ""
|
||||
# profile = ""
|
||||
# shared_credential_file = ""
|
||||
|
||||
## Endpoint to make request against, the correct endpoint is automatically
|
||||
## determined and this option should only be set if you wish to override the
|
||||
## default.
|
||||
## ex: endpoint_url = "http://localhost:8000"
|
||||
# endpoint_url = ""
|
||||
|
||||
## Kinesis StreamName must exist prior to starting telegraf.
|
||||
streamname = "StreamName"
|
||||
|
||||
## Shard iterator type (only 'TRIM_HORIZON' and 'LATEST' currently supported)
|
||||
# shard_iterator_type = "TRIM_HORIZON"
|
||||
|
||||
## Maximum messages to read from the broker that have not been written by an
|
||||
## output. For best throughput set based on the number of metrics within
|
||||
## each message and the size of the output's metric_batch_size.
|
||||
##
|
||||
## For example, if each message from the queue contains 10 metrics and the
|
||||
## output metric_batch_size is 1000, setting this to 100 will ensure that a
|
||||
## full batch is collected and the write is triggered immediately without
|
||||
## waiting until the next flush_interval.
|
||||
# max_undelivered_messages = 1000
|
||||
|
||||
## Data format to consume.
|
||||
## Each data format has its own unique set of configuration options, read
|
||||
## more about them here:
|
||||
## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md
|
||||
data_format = "influx"
|
||||
|
||||
##
|
||||
## The content encoding of the data from kinesis
|
||||
## If you are processing a cloudwatch logs kinesis stream then set this to "gzip"
|
||||
## as AWS compresses cloudwatch log data before it is sent to kinesis (aws
|
||||
## also base64 encodes the zip byte data before pushing to the stream. The base64 decoding
|
||||
## is done automatically by the golang sdk, as data is read from kinesis)
|
||||
##
|
||||
# content_encoding = "identity"
|
||||
|
||||
## Optional
|
||||
## Configuration for a dynamodb checkpoint
|
||||
[inputs.kinesis_consumer.checkpoint_dynamodb]
|
||||
## unique name for this consumer
|
||||
app_name = "default"
|
||||
table_name = "default"
|
||||
|
|
@ -0,0 +1,22 @@
|
|||
# Listener capable of handling KNX bus messages provided through a KNX-IP Interface.
|
||||
[[inputs.knx_listener]]
|
||||
## Type of KNX-IP interface.
|
||||
## Can be either "tunnel" or "router".
|
||||
# service_type = "tunnel"
|
||||
|
||||
## Address of the KNX-IP interface.
|
||||
service_address = "localhost:3671"
|
||||
|
||||
## Measurement definition(s)
|
||||
# [[inputs.knx_listener.measurement]]
|
||||
# ## Name of the measurement
|
||||
# name = "temperature"
|
||||
# ## Datapoint-Type (DPT) of the KNX messages
|
||||
# dpt = "9.001"
|
||||
# ## List of Group-Addresses (GAs) assigned to the measurement
|
||||
# addresses = ["5/5/1"]
|
||||
|
||||
# [[inputs.knx_listener.measurement]]
|
||||
# name = "illumination"
|
||||
# dpt = "9.004"
|
||||
# addresses = ["5/5/3"]
|
||||
|
|
@ -0,0 +1,48 @@
|
|||
# Read metrics from the Kubernetes api
|
||||
[[inputs.kube_inventory]]
|
||||
## URL for the Kubernetes API
|
||||
url = "https://127.0.0.1"
|
||||
|
||||
## Namespace to use. Set to "" to use all namespaces.
|
||||
# namespace = "default"
|
||||
|
||||
## Use bearer token for authorization. ('bearer_token' takes priority)
|
||||
## If both of these are empty, we'll use the default serviceaccount:
|
||||
## at: /run/secrets/kubernetes.io/serviceaccount/token
|
||||
# bearer_token = "/path/to/bearer/token"
|
||||
## OR
|
||||
# bearer_token_string = "abc_123"
|
||||
|
||||
## Set response_timeout (default 5 seconds)
|
||||
# response_timeout = "5s"
|
||||
|
||||
## Optional Resources to exclude from gathering
|
||||
## Leave them with blank with try to gather everything available.
|
||||
## Values can be - "daemonsets", deployments", "endpoints", "ingress", "nodes",
|
||||
## "persistentvolumes", "persistentvolumeclaims", "pods", "services", "statefulsets"
|
||||
# resource_exclude = [ "deployments", "nodes", "statefulsets" ]
|
||||
|
||||
## Optional Resources to include when gathering
|
||||
## Overrides resource_exclude if both set.
|
||||
# resource_include = [ "deployments", "nodes", "statefulsets" ]
|
||||
|
||||
## selectors to include and exclude as tags. Globs accepted.
|
||||
## Note that an empty array for both will include all selectors as tags
|
||||
## selector_exclude overrides selector_include if both set.
|
||||
# selector_include = []
|
||||
# selector_exclude = ["*"]
|
||||
|
||||
## Optional TLS Config
|
||||
## Trusted root certificates for server
|
||||
# tls_ca = "/path/to/cafile"
|
||||
## Used for TLS client certificate authentication
|
||||
# tls_cert = "/path/to/certfile"
|
||||
## Used for TLS client certificate authentication
|
||||
# tls_key = "/path/to/keyfile"
|
||||
## Send the specified TLS server name via SNI
|
||||
# tls_server_name = "kubernetes.example.com"
|
||||
## Use TLS but skip chain & host verification
|
||||
# insecure_skip_verify = false
|
||||
|
||||
## Uncomment to remove deprecated metrics.
|
||||
# fielddrop = ["terminated_reason"]
|
||||
|
|
@ -0,0 +1,26 @@
|
|||
# Read metrics from the kubernetes kubelet api
|
||||
[[inputs.kubernetes]]
|
||||
## URL for the kubelet
|
||||
url = "http://127.0.0.1:10255"
|
||||
|
||||
## Use bearer token for authorization. ('bearer_token' takes priority)
|
||||
## If both of these are empty, we'll use the default serviceaccount:
|
||||
## at: /run/secrets/kubernetes.io/serviceaccount/token
|
||||
# bearer_token = "/path/to/bearer/token"
|
||||
## OR
|
||||
# bearer_token_string = "abc_123"
|
||||
|
||||
## Pod labels to be added as tags. An empty array for both include and
|
||||
## exclude will include all labels.
|
||||
# label_include = []
|
||||
# label_exclude = ["*"]
|
||||
|
||||
## Set response_timeout (default 5 seconds)
|
||||
# response_timeout = "5s"
|
||||
|
||||
## Optional TLS Config
|
||||
# tls_ca = /path/to/cafile
|
||||
# tls_cert = /path/to/certfile
|
||||
# tls_key = /path/to/keyfile
|
||||
## Use TLS but skip chain & host verification
|
||||
# insecure_skip_verify = false
|
||||
|
|
@ -0,0 +1,7 @@
|
|||
# Read metrics off Arista LANZ, via socket
|
||||
[[inputs.lanz]]
|
||||
## URL to Arista LANZ endpoint
|
||||
servers = [
|
||||
"tcp://switch1.int.example.com:50001",
|
||||
"tcp://switch2.int.example.com:50001",
|
||||
]
|
||||
|
|
@ -0,0 +1,5 @@
|
|||
# Read metrics from a LeoFS Server via SNMP
|
||||
[[inputs.leofs]]
|
||||
## An array of URLs of the form:
|
||||
## host [ ":" port]
|
||||
servers = ["127.0.0.1:4010"]
|
||||
|
|
@ -0,0 +1,3 @@
|
|||
# Provides Linux sysctl fs metrics
|
||||
[[inputs.linux_sysctl_fs]]
|
||||
# no configuration
|
||||
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Reference in New Issue