# Telegraf Configuration # # Telegraf is entirely plugin driven. All metrics are gathered from the # declared inputs, and sent to the declared outputs. # # Plugins must be declared in here to be active. # To deactivate a plugin, comment out the name and any variables. # # Use 'telegraf -config telegraf.conf -test' to see what metrics a config # file would generate. # # Environment variables can be used anywhere in this config file, simply surround # them with ${}. For strings the variable must be within quotes (ie, "${STR_VAR}"), # for numbers and booleans they should be plain (ie, ${INT_VAR}, ${BOOL_VAR}) # Global tags can be specified here in key="value" format. [global_tags] # dc = "us-east-1" # will tag all metrics with dc=us-east-1 # rack = "1a" ## Environment variables can be used as tags, and throughout the config file # user = "$USER" # Configuration for telegraf agent [agent] ## Default data collection interval for all inputs interval = "10s" ## Rounds collection interval to 'interval' ## ie, if interval="10s" then always collect on :00, :10, :20, etc. round_interval = true ## Telegraf will send metrics to outputs in batches of at most ## metric_batch_size metrics. ## This controls the size of writes that Telegraf sends to output plugins. metric_batch_size = 1000 ## Maximum number of unwritten metrics per output. Increasing this value ## allows for longer periods of output downtime without dropping metrics at the ## cost of higher maximum memory usage. metric_buffer_limit = 10000 ## Collection jitter is used to jitter the collection by a random amount. ## Each plugin will sleep for a random time within jitter before collecting. ## This can be used to avoid many plugins querying things like sysfs at the ## same time, which can have a measurable effect on the system. collection_jitter = "0s" ## Collection offset is used to shift the collection by the given amount. ## This can be be used to avoid many plugins querying constraint devices ## at the same time by manually scheduling them in time. # collection_offset = "0s" ## Default flushing interval for all outputs. Maximum flush_interval will be ## flush_interval + flush_jitter flush_interval = "10s" ## Jitter the flush interval by a random amount. This is primarily to avoid ## large write spikes for users running a large number of telegraf instances. ## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s flush_jitter = "0s" ## Collected metrics are rounded to the precision specified. Precision is ## specified as an interval with an integer + unit (e.g. 0s, 10ms, 2us, 4s). ## Valid time units are "ns", "us" (or "µs"), "ms", "s". ## ## By default or when set to "0s", precision will be set to the same ## timestamp order as the collection interval, with the maximum being 1s: ## ie, when interval = "10s", precision will be "1s" ## when interval = "250ms", precision will be "1ms" ## ## Precision will NOT be used for service inputs. It is up to each individual ## service input to set the timestamp at the appropriate precision. precision = "0s" ## Log at debug level. # debug = false ## Log only error level messages. # quiet = false ## Log target controls the destination for logs and can be one of "file", ## "stderr" or, on Windows, "eventlog". When set to "file", the output file ## is determined by the "logfile" setting. # logtarget = "file" ## Name of the file to be logged to when using the "file" logtarget. If set to ## the empty string then logs are written to stderr. # logfile = "" ## The logfile will be rotated after the time interval specified. When set ## to 0 no time based rotation is performed. Logs are rotated only when ## written to, if there is no log activity rotation may be delayed. # logfile_rotation_interval = "0h" ## The logfile will be rotated when it becomes larger than the specified ## size. When set to 0 no size based rotation is performed. # logfile_rotation_max_size = "0MB" ## Maximum number of rotated archives to keep, any older logs are deleted. ## If set to -1, no archives are removed. # logfile_rotation_max_archives = 5 ## Pick a timezone to use when logging or type 'local' for local time. ## Example: America/Chicago # log_with_timezone = "" ## Override default hostname, if empty use os.Hostname() hostname = "" ## If set to true, do no set the "host" tag in the telegraf agent. omit_hostname = false ## Method of translating SNMP objects. Can be "netsnmp" which ## translates by calling external programs snmptranslate and snmptable, ## or "gosmi" which translates using the built-in gosmi library. # snmp_translator = "netsnmp" ############################################################################### # OUTPUT PLUGINS # ############################################################################### # Configuration for sending metrics to InfluxDB [[outputs.influxdb]] ## The full HTTP or UDP URL for your InfluxDB instance. ## ## Multiple URLs can be specified for a single cluster, only ONE of the ## urls will be written to each interval. # urls = ["unix:///var/run/influxdb.sock"] # urls = ["udp://127.0.0.1:8089"] # urls = ["http://127.0.0.1:8086"] ## The target database for metrics; will be created as needed. ## For UDP url endpoint database needs to be configured on server side. # database = "telegraf" ## The value of this tag will be used to determine the database. If this ## tag is not set the 'database' option is used as the default. # database_tag = "" ## If true, the 'database_tag' will not be included in the written metric. # exclude_database_tag = false ## If true, no CREATE DATABASE queries will be sent. Set to true when using ## Telegraf with a user without permissions to create databases or when the ## database already exists. # skip_database_creation = false ## Name of existing retention policy to write to. Empty string writes to ## the default retention policy. Only takes effect when using HTTP. # retention_policy = "" ## The value of this tag will be used to determine the retention policy. If this ## tag is not set the 'retention_policy' option is used as the default. # retention_policy_tag = "" ## If true, the 'retention_policy_tag' will not be included in the written metric. # exclude_retention_policy_tag = false ## Write consistency (clusters only), can be: "any", "one", "quorum", "all". ## Only takes effect when using HTTP. # write_consistency = "any" ## Timeout for HTTP messages. # timeout = "5s" ## HTTP Basic Auth # username = "telegraf" # password = "metricsmetricsmetricsmetrics" ## HTTP User-Agent # user_agent = "telegraf" ## UDP payload size is the maximum packet size to send. # udp_payload = "512B" ## Optional TLS Config for use on HTTP connections. # tls_ca = "/etc/telegraf/ca.pem" # tls_cert = "/etc/telegraf/cert.pem" # tls_key = "/etc/telegraf/key.pem" ## Use TLS but skip chain & host verification # insecure_skip_verify = false ## HTTP Proxy override, if unset values the standard proxy environment ## variables are consulted to determine which proxy, if any, should be used. # http_proxy = "http://corporate.proxy:3128" ## Additional HTTP headers # http_headers = {"X-Special-Header" = "Special-Value"} ## HTTP Content-Encoding for write request body, can be set to "gzip" to ## compress body or "identity" to apply no encoding. # content_encoding = "gzip" ## When true, Telegraf will output unsigned integers as unsigned values, ## i.e.: "42u". You will need a version of InfluxDB supporting unsigned ## integer values. Enabling this option will result in field type errors if ## existing data has been written. # influx_uint_support = false # # Configuration for Amon Server to send metrics to. # [[outputs.amon]] # ## Amon Server Key # server_key = "my-server-key" # required. # # ## Amon Instance URL # amon_instance = "https://youramoninstance" # required # # ## Connection timeout. # # timeout = "5s" # # Publishes metrics to an AMQP broker # [[outputs.amqp]] # ## Brokers to publish to. If multiple brokers are specified a random broker # ## will be selected anytime a connection is established. This can be # ## helpful for load balancing when not using a dedicated load balancer. # brokers = ["amqp://localhost:5672/influxdb"] # # ## Maximum messages to send over a connection. Once this is reached, the # ## connection is closed and a new connection is made. This can be helpful for # ## load balancing when not using a dedicated load balancer. # # max_messages = 0 # # ## Exchange to declare and publish to. # exchange = "telegraf" # # ## Exchange type; common types are "direct", "fanout", "topic", "header", "x-consistent-hash". # # exchange_type = "topic" # # ## If true, exchange will be passively declared. # # exchange_passive = false # # ## Exchange durability can be either "transient" or "durable". # # exchange_durability = "durable" # # ## Additional exchange arguments. # # exchange_arguments = { } # # exchange_arguments = {"hash_property" = "timestamp"} # # ## Authentication credentials for the PLAIN auth_method. # # username = "" # # password = "" # # ## Auth method. PLAIN and EXTERNAL are supported # ## Using EXTERNAL requires enabling the rabbitmq_auth_mechanism_ssl plugin as # ## described here: https://www.rabbitmq.com/plugins.html # # auth_method = "PLAIN" # # ## Metric tag to use as a routing key. # ## ie, if this tag exists, its value will be used as the routing key # # routing_tag = "host" # # ## Static routing key. Used when no routing_tag is set or as a fallback # ## when the tag specified in routing tag is not found. # # routing_key = "" # # routing_key = "telegraf" # # ## Delivery Mode controls if a published message is persistent. # ## One of "transient" or "persistent". # # delivery_mode = "transient" # # ## Static headers added to each published message. # # headers = { } # # headers = {"database" = "telegraf", "retention_policy" = "default"} # # ## Connection timeout. If not provided, will default to 5s. 0s means no # ## timeout (not recommended). # # timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## If true use batch serialization format instead of line based delimiting. # ## Only applies to data formats which are not line based such as JSON. # ## Recommended to set to true. # # use_batch_format = false # # ## Content encoding for message payloads, can be set to "gzip" to or # ## "identity" to apply no encoding. # ## # ## Please note that when use_batch_format = false each amqp message contains only # ## a single metric, it is recommended to use compression with batch format # ## for best results. # # content_encoding = "identity" # # ## Data format to output. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md # # data_format = "influx" # # Send metrics to Azure Application Insights # [[outputs.application_insights]] # ## Instrumentation key of the Application Insights resource. # instrumentation_key = "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxx" # # ## Regions that require endpoint modification https://docs.microsoft.com/en-us/azure/azure-monitor/app/custom-endpoints # # endpoint_url = "https://dc.services.visualstudio.com/v2/track" # # ## Timeout for closing (default: 5s). # # timeout = "5s" # # ## Enable additional diagnostic logging. # # enable_diagnostic_logging = false # # ## Context Tag Sources add Application Insights context tags to a tag value. # ## # ## For list of allowed context tag keys see: # ## https://github.com/microsoft/ApplicationInsights-Go/blob/master/appinsights/contracts/contexttagkeys.go # # [outputs.application_insights.context_tag_sources] # # "ai.cloud.role" = "kubernetes_container_name" # # "ai.cloud.roleInstance" = "kubernetes_pod_name" # # Sends metrics to Azure Data Explorer # [[outputs.azure_data_explorer]] # ## Azure Data Explorer cluster endpoint # ## ex: endpoint_url = "https://clustername.australiasoutheast.kusto.windows.net" # endpoint_url = "" # # ## The Azure Data Explorer database that the metrics will be ingested into. # ## The plugin will NOT generate this database automatically, it's expected that this database already exists before ingestion. # ## ex: "exampledatabase" # database = "" # # ## Timeout for Azure Data Explorer operations # # timeout = "20s" # # ## Type of metrics grouping used when pushing to Azure Data Explorer. # ## Default is "TablePerMetric" for one table per different metric. # ## For more information, please check the plugin README. # # metrics_grouping_type = "TablePerMetric" # # ## Name of the single table to store all the metrics (Only needed if metrics_grouping_type is "SingleTable"). # # table_name = "" # # ## Creates tables and relevant mapping if set to true(default). # ## Skips table and mapping creation if set to false, this is useful for running Telegraf with the lowest possible permissions i.e. table ingestor role. # # create_tables = true # # Send aggregate metrics to Azure Monitor # [[outputs.azure_monitor]] # ## Timeout for HTTP writes. # # timeout = "20s" # # ## Set the namespace prefix, defaults to "Telegraf/". # # namespace_prefix = "Telegraf/" # # ## Azure Monitor doesn't have a string value type, so convert string # ## fields to dimensions (a.k.a. tags) if enabled. Azure Monitor allows # ## a maximum of 10 dimensions so Telegraf will only send the first 10 # ## alphanumeric dimensions. # # strings_as_dimensions = false # # ## Both region and resource_id must be set or be available via the # ## Instance Metadata service on Azure Virtual Machines. # # # ## Azure Region to publish metrics against. # ## ex: region = "southcentralus" # # region = "" # # # ## The Azure Resource ID against which metric will be logged, e.g. # ## ex: resource_id = "/subscriptions//resourceGroups//providers/Microsoft.Compute/virtualMachines/" # # resource_id = "" # # ## Optionally, if in Azure US Government, China or other sovereign # ## cloud environment, set appropriate REST endpoint for receiving # ## metrics. (Note: region may be unused in this context) # # endpoint_url = "https://monitoring.core.usgovcloudapi.net" # # Configuration for Google Cloud BigQuery to send entries # [[outputs.bigquery]] # ## Credentials File # credentials_file = "/path/to/service/account/key.json" # # ## Google Cloud Platform Project # project = "my-gcp-project" # # ## The namespace for the metric descriptor # dataset = "telegraf" # # ## Timeout for BigQuery operations. # # timeout = "5s" # # ## Character to replace hyphens on Metric name # # replace_hyphen_to = "_" # # Publish Telegraf metrics to a Google Cloud PubSub topic # [[outputs.cloud_pubsub]] # ## Required. Name of Google Cloud Platform (GCP) Project that owns # ## the given PubSub topic. # project = "my-project" # # ## Required. Name of PubSub topic to publish metrics to. # topic = "my-topic" # # ## Required. Data format to consume. # ## Each data format has its own unique set of configuration options. # ## Read more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # ## Optional. Filepath for GCP credentials JSON file to authorize calls to # ## PubSub APIs. If not set explicitly, Telegraf will attempt to use # ## Application Default Credentials, which is preferred. # # credentials_file = "path/to/my/creds.json" # # ## Optional. If true, will send all metrics per write in one PubSub message. # # send_batched = true # # ## The following publish_* parameters specifically configures batching # ## requests made to the GCP Cloud PubSub API via the PubSub Golang library. Read # ## more here: https://godoc.org/cloud.google.com/go/pubsub#PublishSettings # # ## Optional. Send a request to PubSub (i.e. actually publish a batch) # ## when it has this many PubSub messages. If send_batched is true, # ## this is ignored and treated as if it were 1. # # publish_count_threshold = 1000 # # ## Optional. Send a request to PubSub (i.e. actually publish a batch) # ## when it has this many PubSub messages. If send_batched is true, # ## this is ignored and treated as if it were 1 # # publish_byte_threshold = 1000000 # # ## Optional. Specifically configures requests made to the PubSub API. # # publish_num_go_routines = 2 # # ## Optional. Specifies a timeout for requests to the PubSub API. # # publish_timeout = "30s" # # ## Optional. If true, published PubSub message data will be base64-encoded. # # base64_data = false # # ## Optional. PubSub attributes to add to metrics. # # [outputs.cloud_pubsub.attributes] # # my_attr = "tag_value" # # Configuration for AWS CloudWatch output. # [[outputs.cloudwatch]] # ## Amazon REGION # region = "us-east-1" # # ## Amazon Credentials # ## Credentials are loaded in the following order # ## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified # ## 2) Assumed credentials via STS if role_arn is specified # ## 3) explicit credentials from 'access_key' and 'secret_key' # ## 4) shared profile from 'profile' # ## 5) environment variables # ## 6) shared credentials file # ## 7) EC2 Instance Profile # #access_key = "" # #secret_key = "" # #token = "" # #role_arn = "" # #web_identity_token_file = "" # #role_session_name = "" # #profile = "" # #shared_credential_file = "" # # ## Endpoint to make request against, the correct endpoint is automatically # ## determined and this option should only be set if you wish to override the # ## default. # ## ex: endpoint_url = "http://localhost:8000" # # endpoint_url = "" # # ## Namespace for the CloudWatch MetricDatums # namespace = "InfluxData/Telegraf" # # ## If you have a large amount of metrics, you should consider to send statistic # ## values instead of raw metrics which could not only improve performance but # ## also save AWS API cost. If enable this flag, this plugin would parse the required # ## CloudWatch statistic fields (count, min, max, and sum) and send them to CloudWatch. # ## You could use basicstats aggregator to calculate those fields. If not all statistic # ## fields are available, all fields would still be sent as raw metrics. # # write_statistics = false # # ## Enable high resolution metrics of 1 second (if not enabled, standard resolution are of 60 seconds precision) # # high_resolution_metrics = false # # Configuration for AWS CloudWatchLogs output. # [[outputs.cloudwatch_logs]] # ## The region is the Amazon region that you wish to connect to. # ## Examples include but are not limited to: # ## - us-west-1 # ## - us-west-2 # ## - us-east-1 # ## - ap-southeast-1 # ## - ap-southeast-2 # ## ... # region = "us-east-1" # # ## Amazon Credentials # ## Credentials are loaded in the following order # ## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified # ## 2) Assumed credentials via STS if role_arn is specified # ## 3) explicit credentials from 'access_key' and 'secret_key' # ## 4) shared profile from 'profile' # ## 5) environment variables # ## 6) shared credentials file # ## 7) EC2 Instance Profile # #access_key = "" # #secret_key = "" # #token = "" # #role_arn = "" # #web_identity_token_file = "" # #role_session_name = "" # #profile = "" # #shared_credential_file = "" # # ## Endpoint to make request against, the correct endpoint is automatically # ## determined and this option should only be set if you wish to override the # ## default. # ## ex: endpoint_url = "http://localhost:8000" # # endpoint_url = "" # # ## Cloud watch log group. Must be created in AWS cloudwatch logs upfront! # ## For example, you can specify the name of the k8s cluster here to group logs from all cluster in oine place # log_group = "my-group-name" # # ## Log stream in log group # ## Either log group name or reference to metric attribute, from which it can be parsed: # ## tag: or field:. If log stream is not exist, it will be created. # ## Since AWS is not automatically delete logs streams with expired logs entries (i.e. empty log stream) # ## you need to put in place appropriate house-keeping (https://forums.aws.amazon.com/thread.jspa?threadID=178855) # log_stream = "tag:location" # # ## Source of log data - metric name # ## specify the name of the metric, from which the log data should be retrieved. # ## I.e., if you are using docker_log plugin to stream logs from container, then # ## specify log_data_metric_name = "docker_log" # log_data_metric_name = "docker_log" # # ## Specify from which metric attribute the log data should be retrieved: # ## tag: or field:. # ## I.e., if you are using docker_log plugin to stream logs from container, then # ## specify log_data_source = "field:message" # log_data_source = "field:message" # # Configuration for CrateDB to send metrics to. # [[outputs.cratedb]] # # A github.com/jackc/pgx/v4 connection string. # # See https://pkg.go.dev/github.com/jackc/pgx/v4#ParseConfig # url = "postgres://user:password@localhost/schema?sslmode=disable" # # Timeout for all CrateDB queries. # timeout = "5s" # # Name of the table to store metrics in. # table = "metrics" # # If true, and the metrics table does not exist, create it automatically. # table_create = true # # The character(s) to replace any '.' in an object key with # key_separator = "_" # # Configuration for DataDog API to send metrics to. # [[outputs.datadog]] # ## Datadog API key # apikey = "my-secret-key" # # ## Connection timeout. # # timeout = "5s" # # ## Write URL override; useful for debugging. # # url = "https://app.datadoghq.com/api/v1/series" # # ## Set http_proxy (telegraf uses the system wide proxy settings if it isn't set) # # http_proxy_url = "http://localhost:8888" # # ## Override the default (none) compression used to send data. # ## Supports: "zlib", "none" # # compression = "none" # # Send metrics to nowhere at all # [[outputs.discard]] # # no configuration # # Send telegraf metrics to a Dynatrace environment # [[outputs.dynatrace]] # ## For usage with the Dynatrace OneAgent you can omit any configuration, # ## the only requirement is that the OneAgent is running on the same host. # ## Only setup environment url and token if you want to monitor a Host without the OneAgent present. # ## # ## Your Dynatrace environment URL. # ## For Dynatrace OneAgent you can leave this empty or set it to "http://127.0.0.1:14499/metrics/ingest" (default) # ## For Dynatrace SaaS environments the URL scheme is "https://{your-environment-id}.live.dynatrace.com/api/v2/metrics/ingest" # ## For Dynatrace Managed environments the URL scheme is "https://{your-domain}/e/{your-environment-id}/api/v2/metrics/ingest" # url = "" # # ## Your Dynatrace API token. # ## Create an API token within your Dynatrace environment, by navigating to Settings > Integration > Dynatrace API # ## The API token needs data ingest scope permission. When using OneAgent, no API token is required. # api_token = "" # # ## Optional prefix for metric names (e.g.: "telegraf") # prefix = "telegraf" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # # ## Optional flag for ignoring tls certificate check # # insecure_skip_verify = false # # # ## Connection timeout, defaults to "5s" if not set. # timeout = "5s" # # ## If you want metrics to be treated and reported as delta counters, add the metric names here # additional_counters = [ ] # # ## Optional dimensions to be added to every metric # # [outputs.dynatrace.default_dimensions] # # default_key = "default value" # # Configuration for Elasticsearch to send metrics to. # [[outputs.elasticsearch]] # ## The full HTTP endpoint URL for your Elasticsearch instance # ## Multiple urls can be specified as part of the same cluster, # ## this means that only ONE of the urls will be written to each interval. # urls = [ "http://node1.es.example.com:9200" ] # required. # ## Elasticsearch client timeout, defaults to "5s" if not set. # timeout = "5s" # ## Set to true to ask Elasticsearch a list of all cluster nodes, # ## thus it is not necessary to list all nodes in the urls config option. # enable_sniffer = false # ## Set to true to enable gzip compression # enable_gzip = false # ## Set the interval to check if the Elasticsearch nodes are available # ## Setting to "0s" will disable the health check (not recommended in production) # health_check_interval = "10s" # ## HTTP basic authentication details # # username = "telegraf" # # password = "mypassword" # ## HTTP bearer token authentication details # # auth_bearer_token = "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9" # # ## Index Config # ## The target index for metrics (Elasticsearch will create if it not exists). # ## You can use the date specifiers below to create indexes per time frame. # ## The metric timestamp will be used to decide the destination index name # # %Y - year (2016) # # %y - last two digits of year (00..99) # # %m - month (01..12) # # %d - day of month (e.g., 01) # # %H - hour (00..23) # # %V - week of the year (ISO week) (01..53) # ## Additionally, you can specify a tag name using the notation {{tag_name}} # ## which will be used as part of the index name. If the tag does not exist, # ## the default tag value will be used. # # index_name = "telegraf-{{host}}-%Y.%m.%d" # # default_tag_value = "none" # index_name = "telegraf-%Y.%m.%d" # required. # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Template Config # ## Set to true if you want telegraf to manage its index template. # ## If enabled it will create a recommended index template for telegraf indexes # manage_template = true # ## The template name used for telegraf indexes # template_name = "telegraf" # ## Set to true if you want telegraf to overwrite an existing template # overwrite_template = false # ## If set to true a unique ID hash will be sent as sha256(concat(timestamp,measurement,series-hash)) string # ## it will enable data resend and update metric points avoiding duplicated metrics with diferent id's # force_document_id = false # # ## Specifies the handling of NaN and Inf values. # ## This option can have the following values: # ## none -- do not modify field-values (default); will produce an error if NaNs or infs are encountered # ## drop -- drop fields containing NaNs or infs # ## replace -- replace with the value in "float_replacement_value" (default: 0.0) # ## NaNs and inf will be replaced with the given number, -inf with the negative of that number # # float_handling = "none" # # float_replacement_value = 0.0 # # ## Pipeline Config # ## To use a ingest pipeline, set this to the name of the pipeline you want to use. # # use_pipeline = "my_pipeline" # ## Additionally, you can specify a tag name using the notation {{tag_name}} # ## which will be used as part of the pipeline name. If the tag does not exist, # ## the default pipeline will be used as the pipeline. If no default pipeline is set, # ## no pipeline is used for the metric. # # use_pipeline = "{{es_pipeline}}" # # default_pipeline = "my_pipeline" # # Configuration for Event Hubs output plugin # [[outputs.event_hubs]] # ## The full connection string to the Event Hub (required) # ## The shared access key must have "Send" permissions on the target Event Hub. # connection_string = "Endpoint=sb://namespace.servicebus.windows.net/;SharedAccessKeyName=RootManageSharedAccessKey;SharedAccessKey=superSecret1234=;EntityPath=hubName" # # ## Client timeout (defaults to 30s) # # timeout = "30s" # # ## Data format to output. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md # data_format = "json" # # Send metrics to command as input over stdin # [[outputs.exec]] # ## Command to ingest metrics via stdin. # command = ["tee", "-a", "/dev/null"] # # ## Timeout for command to complete. # # timeout = "5s" # # ## Data format to output. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md # # data_format = "influx" # # Run executable as long-running output plugin # [[outputs.execd]] # ## Program to run as daemon # command = ["my-telegraf-output", "--some-flag", "value"] # # ## Delay before the process is restarted after an unexpected termination # restart_delay = "10s" # # ## Data format to export. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md # data_format = "influx" # # Send telegraf metrics to file(s) # [[outputs.file]] # ## Files to write to, "stdout" is a specially handled file. # files = ["stdout", "/tmp/metrics.out"] # # ## Use batch serialization format instead of line based delimiting. The # ## batch format allows for the production of non line based output formats and # ## may more efficiently encode metric groups. # # use_batch_format = false # # ## The file will be rotated after the time interval specified. When set # ## to 0 no time based rotation is performed. # # rotation_interval = "0d" # # ## The logfile will be rotated when it becomes larger than the specified # ## size. When set to 0 no size based rotation is performed. # # rotation_max_size = "0MB" # # ## Maximum number of rotated archives to keep, any older logs are deleted. # ## If set to -1, no archives are removed. # # rotation_max_archives = 5 # # ## Data format to output. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md # data_format = "influx" # # Configuration for Graphite server to send metrics to # [[outputs.graphite]] # ## TCP endpoint for your graphite instance. # ## If multiple endpoints are configured, output will be load balanced. # ## Only one of the endpoints will be written to with each iteration. # servers = ["localhost:2003"] # ## Prefix metrics name # prefix = "" # ## Graphite output template # ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md # template = "host.tags.measurement.field" # # ## Enable Graphite tags support # # graphite_tag_support = false # # ## Define how metric names and tags are sanitized; options are "strict", or "compatible" # ## strict - Default method, and backwards compatible with previous versionf of Telegraf # ## compatible - More relaxed sanitizing when using tags, and compatible with the graphite spec # # graphite_tag_sanitize_mode = "strict" # # ## Character for separating metric name and field for Graphite tags # # graphite_separator = "." # # ## Graphite templates patterns # ## 1. Template for cpu # ## 2. Template for disk* # ## 3. Default template # # templates = [ # # "cpu tags.measurement.host.field", # # "disk* measurement.field", # # "host.measurement.tags.field" # #] # # ## timeout in seconds for the write connection to graphite # timeout = 2 # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Send telegraf metrics to graylog # [[outputs.graylog]] # ## Endpoints for your graylog instances. # servers = ["udp://127.0.0.1:12201"] # # ## Connection timeout. # # timeout = "5s" # # ## The field to use as the GELF short_message, if unset the static string # ## "telegraf" will be used. # ## example: short_message_field = "message" # # short_message_field = "" # # ## According to GELF payload specification, additional fields names must be prefixed # ## with an underscore. Previous versions did not prefix custom field 'name' with underscore. # ## Set to true for backward compatibility. # # name_field_no_prefix = false # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Send telegraf metrics to GroundWork Monitor # [[outputs.groundwork]] # ## URL of your groundwork instance. # url = "https://groundwork.example.com" # # ## Agent uuid for GroundWork API Server. # agent_id = "" # # ## Username and password to access GroundWork API. # username = "" # password = "" # # ## Default display name for the host with services(metrics). # # default_host = "telegraf" # # ## Default service state. # # default_service_state = "SERVICE_OK" # # ## The name of the tag that contains the hostname. # # resource_tag = "host" # # ## The name of the tag that contains the host group name. # # group_tag = "group" # # Configurable HTTP health check resource based on metrics # [[outputs.health]] # ## Address and port to listen on. # ## ex: service_address = "http://localhost:8080" # ## service_address = "unix:///var/run/telegraf-health.sock" # # service_address = "http://:8080" # # ## The maximum duration for reading the entire request. # # read_timeout = "5s" # ## The maximum duration for writing the entire response. # # write_timeout = "5s" # # ## Username and password to accept for HTTP basic authentication. # # basic_username = "user1" # # basic_password = "secret" # # ## Allowed CA certificates for client certificates. # # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"] # # ## TLS server certificate and private key. # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # # ## One or more check sub-tables should be defined, it is also recommended to # ## use metric filtering to limit the metrics that flow into this output. # ## # ## When using the default buffer sizes, this example will fail when the # ## metric buffer is half full. # ## # ## namepass = ["internal_write"] # ## tagpass = { output = ["influxdb"] } # ## # ## [[outputs.health.compares]] # ## field = "buffer_size" # ## lt = 5000.0 # ## # ## [[outputs.health.contains]] # ## field = "buffer_size" # # A plugin that can transmit metrics over HTTP # [[outputs.http]] # ## URL is the address to send metrics to # url = "http://127.0.0.1:8080/telegraf" # # ## Timeout for HTTP message # # timeout = "5s" # # ## HTTP method, one of: "POST" or "PUT" # # method = "POST" # # ## HTTP Basic Auth credentials # # username = "username" # # password = "pa$$word" # # ## OAuth2 Client Credentials Grant # # client_id = "clientid" # # client_secret = "secret" # # token_url = "https://indentityprovider/oauth2/v1/token" # # scopes = ["urn:opc:idm:__myscopes__"] # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Optional Cookie authentication # # cookie_auth_url = "https://localhost/authMe" # # cookie_auth_method = "POST" # # cookie_auth_username = "username" # # cookie_auth_password = "pa$$word" # # cookie_auth_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" # # ## Data format to output. # ## Each data format has it's own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md # # data_format = "influx" # # ## Use batch serialization format (default) instead of line based format. # ## Batch format is more efficient and should be used unless line based # ## format is really needed. # # use_batch_format = true # # ## HTTP Content-Encoding for write request body, can be set to "gzip" to # ## compress body or "identity" to apply no encoding. # # content_encoding = "identity" # # ## Additional HTTP headers # # [outputs.http.headers] # # # Should be set manually to "application/json" for json data_format # # Content-Type = "text/plain; charset=utf-8" # # ## Idle (keep-alive) connection timeout. # ## Maximum amount of time before idle connection is closed. # ## Zero means no limit. # # idle_conn_timeout = 0 # # ## 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 = "" # # Configuration for sending metrics to InfluxDB # [[outputs.influxdb_v2]] # ## The URLs of the InfluxDB cluster nodes. # ## # ## Multiple URLs can be specified for a single cluster, only ONE of the # ## urls will be written to each interval. # ## ex: urls = ["https://us-west-2-1.aws.cloud2.influxdata.com"] # urls = ["http://127.0.0.1:8086"] # # ## Token for authentication. # token = "" # # ## Organization is the name of the organization you wish to write to; must exist. # organization = "" # # ## Destination bucket to write into. # bucket = "" # # ## The value of this tag will be used to determine the bucket. If this # ## tag is not set the 'bucket' option is used as the default. # # bucket_tag = "" # # ## If true, the bucket tag will not be added to the metric. # # exclude_bucket_tag = false # # ## Timeout for HTTP messages. # # timeout = "5s" # # ## Additional HTTP headers # # http_headers = {"X-Special-Header" = "Special-Value"} # # ## HTTP Proxy override, if unset values the standard proxy environment # ## variables are consulted to determine which proxy, if any, should be used. # # http_proxy = "http://corporate.proxy:3128" # # ## HTTP User-Agent # # user_agent = "telegraf" # # ## Content-Encoding for write request body, can be set to "gzip" to # ## compress body or "identity" to apply no encoding. # # content_encoding = "gzip" # # ## Enable or disable uint support for writing uints influxdb 2.0. # # influx_uint_support = false # # ## Optional TLS Config for use on HTTP connections. # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Configuration for sending metrics to an Instrumental project # [[outputs.instrumental]] # ## Project API Token (required) # api_token = "API Token" # required # ## Prefix the metrics with a given name # prefix = "" # ## Stats output template (Graphite formatting) # ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md#graphite # template = "host.tags.measurement.field" # ## Timeout in seconds to connect # timeout = "2s" # ## Display Communication to Instrumental # debug = false # # Configuration for the Kafka server to send metrics to # [[outputs.kafka]] # ## URLs of kafka brokers # brokers = ["localhost:9092"] # ## Kafka topic for producer messages # topic = "telegraf" # # ## The value of this tag will be used as the topic. If not set the 'topic' # ## option is used. # # topic_tag = "" # # ## If true, the 'topic_tag' will be removed from to the metric. # # exclude_topic_tag = false # # ## Optional Client id # # client_id = "Telegraf" # # ## Set the minimal supported Kafka version. Setting this enables the use of new # ## Kafka features and APIs. Of particular interest, lz4 compression # ## requires at least version 0.10.0.0. # ## ex: version = "1.1.0" # # version = "" # # ## Optional topic suffix configuration. # ## If the section is omitted, no suffix is used. # ## Following topic suffix methods are supported: # ## measurement - suffix equals to separator + measurement's name # ## tags - suffix equals to separator + specified tags' values # ## interleaved with separator # # ## Suffix equals to "_" + measurement name # # [outputs.kafka.topic_suffix] # # method = "measurement" # # separator = "_" # # ## Suffix equals to "__" + measurement's "foo" tag value. # ## If there's no such a tag, suffix equals to an empty string # # [outputs.kafka.topic_suffix] # # method = "tags" # # keys = ["foo"] # # separator = "__" # # ## Suffix equals to "_" + measurement's "foo" and "bar" # ## tag values, separated by "_". If there is no such tags, # ## their values treated as empty strings. # # [outputs.kafka.topic_suffix] # # method = "tags" # # keys = ["foo", "bar"] # # separator = "_" # # ## The routing tag specifies a tagkey on the metric whose value is used as # ## the message key. The message key is used to determine which partition to # ## send the message to. This tag is prefered over the routing_key option. # routing_tag = "host" # # ## The routing key is set as the message key and used to determine which # ## partition to send the message to. This value is only used when no # ## routing_tag is set or as a fallback when the tag specified in routing tag # ## is not found. # ## # ## If set to "random", a random value will be generated for each message. # ## # ## When unset, no message key is added and each message is routed to a random # ## partition. # ## # ## ex: routing_key = "random" # ## routing_key = "telegraf" # # routing_key = "" # # ## Compression codec represents the various compression codecs recognized by # ## Kafka in messages. # ## 0 : None # ## 1 : Gzip # ## 2 : Snappy # ## 3 : LZ4 # ## 4 : ZSTD # # compression_codec = 0 # # ## Idempotent Writes # ## If enabled, exactly one copy of each message is written. # # idempotent_writes = false # # ## RequiredAcks is used in Produce Requests to tell the broker how many # ## replica acknowledgements it must see before responding # ## 0 : the producer never waits for an acknowledgement from the broker. # ## This option provides the lowest latency but the weakest durability # ## guarantees (some data will be lost when a server fails). # ## 1 : the producer gets an acknowledgement after the leader replica has # ## received the data. This option provides better durability as the # ## client waits until the server acknowledges the request as successful # ## (only messages that were written to the now-dead leader but not yet # ## replicated will be lost). # ## -1: the producer gets an acknowledgement after all in-sync replicas have # ## received the data. This option provides the best durability, we # ## guarantee that no messages will be lost as long as at least one in # ## sync replica remains. # # required_acks = -1 # # ## The maximum number of times to retry sending a metric before failing # ## until the next flush. # # max_retry = 3 # # ## The maximum permitted size of a message. Should be set equal to or # ## smaller than the broker's 'message.max.bytes'. # # max_message_bytes = 1000000 # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Optional SOCKS5 proxy to use when connecting to brokers # # socks5_enabled = true # # socks5_address = "127.0.0.1:1080" # # socks5_username = "alice" # # socks5_password = "pass123" # # ## Optional SASL Config # # sasl_username = "kafka" # # sasl_password = "secret" # # ## Optional SASL: # ## one of: OAUTHBEARER, PLAIN, SCRAM-SHA-256, SCRAM-SHA-512, GSSAPI # ## (defaults to PLAIN) # # sasl_mechanism = "" # # ## used if sasl_mechanism is GSSAPI (experimental) # # sasl_gssapi_service_name = "" # # ## One of: KRB5_USER_AUTH and KRB5_KEYTAB_AUTH # # sasl_gssapi_auth_type = "KRB5_USER_AUTH" # # sasl_gssapi_kerberos_config_path = "/" # # sasl_gssapi_realm = "realm" # # sasl_gssapi_key_tab_path = "" # # sasl_gssapi_disable_pafxfast = false # # ## used if sasl_mechanism is OAUTHBEARER (experimental) # # sasl_access_token = "" # # ## SASL protocol version. When connecting to Azure EventHub set to 0. # # sasl_version = 1 # # # Disable Kafka metadata full fetch # # metadata_full = false # # ## Data format to output. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md # # data_format = "influx" # # Configuration for the AWS Kinesis output. # [[outputs.kinesis]] # ## Amazon REGION of kinesis endpoint. # region = "ap-southeast-2" # # ## Amazon Credentials # ## Credentials are loaded in the following order # ## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified # ## 2) Assumed credentials via STS if role_arn is specified # ## 3) explicit credentials from 'access_key' and 'secret_key' # ## 4) shared profile from 'profile' # ## 5) environment variables # ## 6) shared credentials file # ## 7) EC2 Instance Profile # #access_key = "" # #secret_key = "" # #token = "" # #role_arn = "" # #web_identity_token_file = "" # #role_session_name = "" # #profile = "" # #shared_credential_file = "" # # ## Endpoint to make request against, the correct endpoint is automatically # ## determined and this option should only be set if you wish to override the # ## default. # ## ex: endpoint_url = "http://localhost:8000" # # endpoint_url = "" # # ## Kinesis StreamName must exist prior to starting telegraf. # streamname = "StreamName" # # ## The partition key can be calculated using one of several methods: # ## # ## Use a static value for all writes: # # [outputs.kinesis.partition] # # method = "static" # # key = "howdy" # # # ## Use a random partition key on each write: # # [outputs.kinesis.partition] # # method = "random" # # # ## Use the measurement name as the partition key: # # [outputs.kinesis.partition] # # method = "measurement" # # # ## Use the value of a tag for all writes, if the tag is not set the empty # ## default option will be used. When no default, defaults to "telegraf" # # [outputs.kinesis.partition] # # method = "tag" # # key = "host" # # default = "mykey" # # # ## Data format to output. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md # data_format = "influx" # # ## debug will show upstream aws messages. # debug = false # # Configuration for Librato API to send metrics to. # [[outputs.librato]] # ## Librato API Docs # ## http://dev.librato.com/v1/metrics-authentication # ## Librato API user # api_user = "telegraf@influxdb.com" # required. # ## Librato API token # api_token = "my-secret-token" # required. # ## Debug # # debug = false # ## Connection timeout. # # timeout = "5s" # ## Output source Template (same as graphite buckets) # ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md#graphite # ## This template is used in librato's source (not metric's name) # template = "host" # # # Send aggregate metrics to Logz.io # [[outputs.logzio]] # ## Connection timeout, defaults to "5s" if not set. # timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # # ## Logz.io account token # token = "your logz.io token" # required # # ## Use your listener URL for your Logz.io account region. # # url = "https://listener.logz.io:8071" # # Send logs to Loki # [[outputs.loki]] # ## The domain of Loki # domain = "https://loki.domain.tld" # # ## Endpoint to write api # # endpoint = "/loki/api/v1/push" # # ## Connection timeout, defaults to "5s" if not set. # # timeout = "5s" # # ## Basic auth credential # # username = "loki" # # password = "pass" # # ## Additional HTTP headers # # http_headers = {"X-Scope-OrgID" = "1"} # # ## If the request must be gzip encoded # # gzip_request = false # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # # Sends metrics to MongoDB # [[outputs.mongodb]] # # connection string examples for mongodb # dsn = "mongodb://localhost:27017" # # dsn = "mongodb://mongod1:27017,mongod2:27017,mongod3:27017/admin&replicaSet=myReplSet&w=1" # # # overrides serverSelectionTimeoutMS in dsn if set # # timeout = "30s" # # # default authentication, optional # # authentication = "NONE" # # # for SCRAM-SHA-256 authentication # # authentication = "SCRAM" # # username = "root" # # password = "***" # # # for x509 certificate authentication # # authentication = "X509" # # tls_ca = "ca.pem" # # tls_key = "client.pem" # # # tls_key_pwd = "changeme" # required for encrypted tls_key # # insecure_skip_verify = false # # # database to store measurements and time series collections # # database = "telegraf" # # # granularity can be seconds, minutes, or hours. # # configuring this value will be based on your input collection frequency. # # see https://docs.mongodb.com/manual/core/timeseries-collections/#create-a-time-series-collection # # granularity = "seconds" # # # optionally set a TTL to automatically expire documents from the measurement collections. # # ttl = "360h" # # Configuration for MQTT server to send metrics to # [[outputs.mqtt]] # ## MQTT Brokers # ## The list of brokers should only include the hostname or IP address and the # ## port to the broker. This should follow the format '{host}:{port}'. For # ## example, "localhost:1883" or "127.0.0.1:8883". # servers = ["localhost:1883"] # # ## MQTT Topic for Producer Messages # ## MQTT outputs send metrics to this topic format: # ## /// (e.g. prefix/web01.example.com/mem) # topic_prefix = "telegraf" # # ## QoS policy for messages # ## The mqtt QoS policy for sending messages. # ## See https://www.ibm.com/support/knowledgecenter/en/SSFKSJ_9.0.0/com.ibm.mq.dev.doc/q029090_.htm # ## 0 = at most once # ## 1 = at least once # ## 2 = exactly once # # qos = 2 # # ## Keep Alive # ## Defines the maximum length of time that the broker and client may not # ## communicate. Defaults to 0 which turns the feature off. # ## # ## For version v2.0.12 and later mosquitto there is a bug # ## (see https://github.com/eclipse/mosquitto/issues/2117), which requires # ## this to be non-zero. As a reference eclipse/paho.mqtt.golang defaults to 30. # # keep_alive = 0 # # ## username and password to connect MQTT server. # # username = "telegraf" # # password = "metricsmetricsmetricsmetrics" # # ## client ID # ## The unique client id to connect MQTT server. If this parameter is not set # ## then a random ID is generated. # # client_id = "" # # ## Timeout for write operations. default: 5s # # timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## When true, metrics will be sent in one MQTT message per flush. Otherwise, # ## metrics are written one metric per MQTT message. # # batch = false # # ## When true, metric will have RETAIN flag set, making broker cache entries until someone # ## actually reads it # # retain = false # # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md # data_format = "influx" # # Send telegraf measurements to NATS # [[outputs.nats]] # ## URLs of NATS servers # servers = ["nats://localhost:4222"] # # ## Optional client name # # name = "" # # ## Optional credentials # # username = "" # # password = "" # # ## Optional NATS 2.0 and NATS NGS compatible user credentials # # credentials = "/etc/telegraf/nats.creds" # # ## NATS subject for producer messages # subject = "telegraf" # # ## Use Transport Layer Security # # secure = false # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Data format to output. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md # data_format = "influx" # # Send metrics to New Relic metrics endpoint # [[outputs.newrelic]] # ## The 'insights_key' parameter requires a NR license key. # ## New Relic recommends you create one # ## with a convenient name such as TELEGRAF_INSERT_KEY. # ## reference: https://docs.newrelic.com/docs/apis/intro-apis/new-relic-api-keys/#ingest-license-key # # insights_key = "New Relic License Key Here" # # ## Prefix to add to add to metric name for easy identification. # ## This is very useful if your metric names are ambiguous. # # metric_prefix = "" # # ## Timeout for writes to the New Relic API. # # timeout = "15s" # # ## HTTP Proxy override. If unset use values from the standard # ## proxy environment variables to determine proxy, if any. # # http_proxy = "http://corporate.proxy:3128" # # ## Metric URL override to enable geographic location endpoints. # # If not set use values from the standard # # metric_url = "https://metric-api.newrelic.com/metric/v1" # # Send telegraf measurements to NSQD # [[outputs.nsq]] # ## Location of nsqd instance listening on TCP # server = "localhost:4150" # ## NSQ topic for producer messages # topic = "telegraf" # # ## Data format to output. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md # data_format = "influx" # # Send OpenTelemetry metrics over gRPC # [[outputs.opentelemetry]] # ## Override the default (localhost:4317) OpenTelemetry gRPC service # ## address:port # # service_address = "localhost:4317" # # ## Override the default (5s) request timeout # # timeout = "5s" # # ## Optional TLS Config. # ## # ## Root certificates for verifying server certificates encoded in PEM format. # # tls_ca = "/etc/telegraf/ca.pem" # ## The public and private keypairs for the client encoded in PEM format. # ## May contain intermediate certificates. # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS, but skip TLS chain and host verification. # # insecure_skip_verify = false # ## Send the specified TLS server name via SNI. # # tls_server_name = "foo.example.com" # # ## Override the default (gzip) compression used to send data. # ## Supports: "gzip", "none" # # compression = "gzip" # # ## Additional OpenTelemetry resource attributes # # [outputs.opentelemetry.attributes] # # "service.name" = "demo" # # ## Additional gRPC request metadata # # [outputs.opentelemetry.headers] # # key1 = "value1" # # Configuration for OpenTSDB server to send metrics to # [[outputs.opentsdb]] # ## prefix for metrics keys # prefix = "my.specific.prefix." # # ## DNS name of the OpenTSDB server # ## Using "opentsdb.example.com" or "tcp://opentsdb.example.com" will use the # ## telnet API. "http://opentsdb.example.com" will use the Http API. # host = "opentsdb.example.com" # # ## Port of the OpenTSDB server # port = 4242 # # ## Number of data points to send to OpenTSDB in Http requests. # ## Not used with telnet API. # http_batch_size = 50 # # ## URI Path for Http requests to OpenTSDB. # ## Used in cases where OpenTSDB is located behind a reverse proxy. # http_path = "/api/put" # # ## Debug true - Prints OpenTSDB communication # debug = false # # ## Separator separates measurement name from field # separator = "_" # # Configuration for the Prometheus client to spawn # [[outputs.prometheus_client]] # ## Address to listen on # listen = ":9273" # # ## Metric version controls the mapping from Telegraf metrics into # ## Prometheus format. When using the prometheus input, use the same value in # ## both plugins to ensure metrics are round-tripped without modification. # ## # ## example: metric_version = 1; # ## metric_version = 2; recommended version # # metric_version = 1 # # ## Use HTTP Basic Authentication. # # basic_username = "Foo" # # basic_password = "Bar" # # ## If set, the IP Ranges which are allowed to access metrics. # ## ex: ip_range = ["192.168.0.0/24", "192.168.1.0/30"] # # ip_range = [] # # ## Path to publish the metrics on. # # path = "/metrics" # # ## Expiration interval for each metric. 0 == no expiration # # expiration_interval = "60s" # # ## Collectors to enable, valid entries are "gocollector" and "process". # ## If unset, both are enabled. # # collectors_exclude = ["gocollector", "process"] # # ## Send string metrics as Prometheus labels. # ## Unless set to false all string metrics will be sent as labels. # # string_as_label = true # # ## If set, enable TLS with the given certificate. # # tls_cert = "/etc/ssl/telegraf.crt" # # tls_key = "/etc/ssl/telegraf.key" # # ## Set one or more allowed client CA certificate file names to # ## enable mutually authenticated TLS connections # # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"] # # ## Export metric collection time. # # export_timestamp = false # # Configuration for the Riemann server to send metrics to # [[outputs.riemann]] # ## The full TCP or UDP URL of the Riemann server # url = "tcp://localhost:5555" # # ## Riemann event TTL, floating-point time in seconds. # ## Defines how long that an event is considered valid for in Riemann # # ttl = 30.0 # # ## Separator to use between measurement and field name in Riemann service name # ## This does not have any effect if 'measurement_as_attribute' is set to 'true' # separator = "/" # # ## Set measurement name as Riemann attribute 'measurement', instead of prepending it to the Riemann service name # # measurement_as_attribute = false # # ## Send string metrics as Riemann event states. # ## Unless enabled all string metrics will be ignored # # string_as_state = false # # ## A list of tag keys whose values get sent as Riemann tags. # ## If empty, all Telegraf tag values will be sent as tags # # tag_keys = ["telegraf","custom_tag"] # # ## Additional Riemann tags to send. # # tags = ["telegraf-output"] # # ## Description for Riemann event # # description_text = "metrics collected from telegraf" # # ## Riemann client write timeout, defaults to "5s" if not set. # # timeout = "5s" # # Configuration for the Riemann server to send metrics to # [[outputs.riemann_legacy]] # ## DEPRECATED: The 'riemann_legacy' plugin is deprecated in version 1.3.0, use 'outputs.riemann' instead (see https://github.com/influxdata/telegraf/issues/1878). # ## URL of server # url = "localhost:5555" # ## transport protocol to use either tcp or udp # transport = "tcp" # ## separator to use between input name and field name in Riemann service name # separator = " " # # Send aggregate metrics to Sensu Monitor # [[outputs.sensu]] # ## BACKEND API URL is the Sensu Backend API root URL to send metrics to # ## (protocol, host, and port only). The output plugin will automatically # ## append the corresponding backend API path # ## /api/core/v2/namespaces/:entity_namespace/events/:entity_name/:check_name). # ## # ## Backend Events API reference: # ## https://docs.sensu.io/sensu-go/latest/api/events/ # ## # ## AGENT API URL is the Sensu Agent API root URL to send metrics to # ## (protocol, host, and port only). The output plugin will automatically # ## append the correspeonding agent API path (/events). # ## # ## Agent API Events API reference: # ## https://docs.sensu.io/sensu-go/latest/api/events/ # ## # ## NOTE: if backend_api_url and agent_api_url and api_key are set, the output # ## plugin will use backend_api_url. If backend_api_url and agent_api_url are # ## not provided, the output plugin will default to use an agent_api_url of # ## http://127.0.0.1:3031 # ## # # backend_api_url = "http://127.0.0.1:8080" # # agent_api_url = "http://127.0.0.1:3031" # # ## API KEY is the Sensu Backend API token # ## Generate a new API token via: # ## # ## $ sensuctl cluster-role create telegraf --verb create --resource events,entities # ## $ sensuctl cluster-role-binding create telegraf --cluster-role telegraf --group telegraf # ## $ sensuctl user create telegraf --group telegraf --password REDACTED # ## $ sensuctl api-key grant telegraf # ## # ## For more information on Sensu RBAC profiles & API tokens, please visit: # ## - https://docs.sensu.io/sensu-go/latest/reference/rbac/ # ## - https://docs.sensu.io/sensu-go/latest/reference/apikeys/ # ## # # api_key = "${SENSU_API_KEY}" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Timeout for HTTP message # # timeout = "5s" # # ## HTTP Content-Encoding for write request body, can be set to "gzip" to # ## compress body or "identity" to apply no encoding. # # content_encoding = "identity" # # ## Sensu Event details # ## # ## Below are the event details to be sent to Sensu. The main portions of the # ## event are the check, entity, and metrics specifications. For more information # ## on Sensu events and its components, please visit: # ## - Events - https://docs.sensu.io/sensu-go/latest/reference/events # ## - Checks - https://docs.sensu.io/sensu-go/latest/reference/checks # ## - Entities - https://docs.sensu.io/sensu-go/latest/reference/entities # ## - Metrics - https://docs.sensu.io/sensu-go/latest/reference/events#metrics # ## # ## Check specification # ## The check name is the name to give the Sensu check associated with the event # ## created. This maps to check.metatadata.name in the event. # [outputs.sensu.check] # name = "telegraf" # # ## Entity specification # ## Configure the entity name and namespace, if necessary. This will be part of # ## the entity.metadata in the event. # ## # ## NOTE: if the output plugin is configured to send events to a # ## backend_api_url and entity_name is not set, the value returned by # ## os.Hostname() will be used; if the output plugin is configured to send # ## events to an agent_api_url, entity_name and entity_namespace are not used. # # [outputs.sensu.entity] # # name = "server-01" # # namespace = "default" # # ## Metrics specification # ## Configure the tags for the metrics that are sent as part of the Sensu event # # [outputs.sensu.tags] # # source = "telegraf" # # ## Configure the handler(s) for processing the provided metrics # # [outputs.sensu.metrics] # # handlers = ["influxdb","elasticsearch"] # # Send metrics and events to SignalFx # [[outputs.signalfx]] # ## SignalFx Org Access Token # access_token = "my-secret-token" # # ## The SignalFx realm that your organization resides in # signalfx_realm = "us9" # Required if ingest_url is not set # # ## You can optionally provide a custom ingest url instead of the # ## signalfx_realm option above if you are using a gateway or proxy # ## instance. This option takes precident over signalfx_realm. # ingest_url = "https://my-custom-ingest/" # # ## Event typed metrics are omitted by default, # ## If you require an event typed metric you must specify the # ## metric name in the following list. # included_event_names = ["plugin.metric_name"] # # Generic socket writer capable of handling multiple socket types. # [[outputs.socket_writer]] # ## URL to connect to # # address = "tcp://127.0.0.1:8094" # # address = "tcp://example.com:http" # # address = "tcp4://127.0.0.1:8094" # # address = "tcp6://127.0.0.1:8094" # # address = "tcp6://[2001:db8::1]:8094" # # address = "udp://127.0.0.1:8094" # # address = "udp4://127.0.0.1:8094" # # address = "udp6://127.0.0.1:8094" # # address = "unix:///tmp/telegraf.sock" # # address = "unixgram:///tmp/telegraf.sock" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Period between keep alive probes. # ## Only applies to TCP sockets. # ## 0 disables keep alive probes. # ## Defaults to the OS configuration. # # keep_alive_period = "5m" # # ## Content encoding for packet-based connections (i.e. UDP, unixgram). # ## Can be set to "gzip" or to "identity" to apply no encoding. # ## # # content_encoding = "identity" # # ## Data format to generate. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # # data_format = "influx" # # Send metrics to SQL Database # [[outputs.sql]] # ## Database driver # ## Valid options: mssql (Microsoft SQL Server), mysql (MySQL), pgx (Postgres), # ## sqlite (SQLite3), snowflake (snowflake.com) clickhouse (ClickHouse) # # driver = "" # # ## Data source name # ## The format of the data source name is different for each database driver. # ## See the plugin readme for details. # # data_source_name = "" # # ## Timestamp column name # # timestamp_column = "timestamp" # # ## Table creation template # ## Available template variables: # ## {TABLE} - table name as a quoted identifier # ## {TABLELITERAL} - table name as a quoted string literal # ## {COLUMNS} - column definitions (list of quoted identifiers and types) # # table_template = "CREATE TABLE {TABLE}({COLUMNS})" # # ## Table existence check template # ## Available template variables: # ## {TABLE} - tablename as a quoted identifier # # table_exists_template = "SELECT 1 FROM {TABLE} LIMIT 1" # # ## Initialization SQL # # init_sql = "" # # ## Metric type to SQL type conversion # ## The values on the left are the data types Telegraf has and the values on # ## the right are the data types Telegraf will use when sending to a database. # ## # ## The database values used must be data types the destination database # ## understands. It is up to the user to ensure that the selected data type is # ## available in the database they are using. Refer to your database # ## documentation for what data types are available and supported. # #[outputs.sql.convert] # # integer = "INT" # # real = "DOUBLE" # # text = "TEXT" # # timestamp = "TIMESTAMP" # # defaultvalue = "TEXT" # # unsigned = "UNSIGNED" # # bool = "BOOL" # # ## This setting controls the behavior of the unsigned value. By default the # ## setting will take the integer value and append the unsigned value to it. The other # ## option is "literal", which will use the actual value the user provides to # ## the unsigned option. This is useful for a database like ClickHouse where # ## the unsigned value should use a value like "uint64". # # conversion_style = "unsigned_suffix" # # Configuration for Google Cloud Stackdriver to send metrics to # [[outputs.stackdriver]] # ## GCP Project # project = "erudite-bloom-151019" # # ## The namespace for the metric descriptor # namespace = "telegraf" # # ## Custom resource type # # resource_type = "generic_node" # # ## Additional resource labels # # [outputs.stackdriver.resource_labels] # # node_id = "$HOSTNAME" # # namespace = "myapp" # # location = "eu-north0" # # A plugin that can transmit metrics to Sumo Logic HTTP Source # [[outputs.sumologic]] # ## Unique URL generated for your HTTP Metrics Source. # ## This is the address to send metrics to. # # url = "https://events.sumologic.net/receiver/v1/http/" # # ## Data format to be used for sending metrics. # ## This will set the "Content-Type" header accordingly. # ## Currently supported formats: # ## * graphite - for Content-Type of application/vnd.sumologic.graphite # ## * carbon2 - for Content-Type of application/vnd.sumologic.carbon2 # ## * prometheus - for Content-Type of application/vnd.sumologic.prometheus # ## # ## More information can be found at: # ## https://help.sumologic.com/03Send-Data/Sources/02Sources-for-Hosted-Collectors/HTTP-Source/Upload-Metrics-to-an-HTTP-Source#content-type-headers-for-metrics # ## # ## NOTE: # ## When unset, telegraf will by default use the influx serializer which is currently unsupported # ## in HTTP Source. # data_format = "carbon2" # # ## Timeout used for HTTP request # # timeout = "5s" # # ## Max HTTP request body size in bytes before compression (if applied). # ## By default 1MB is recommended. # ## NOTE: # ## Bear in mind that in some serializer a metric even though serialized to multiple # ## lines cannot be split any further so setting this very low might not work # ## as expected. # # max_request_body_size = 1000000 # # ## Additional, Sumo specific options. # ## Full list can be found here: # ## https://help.sumologic.com/03Send-Data/Sources/02Sources-for-Hosted-Collectors/HTTP-Source/Upload-Metrics-to-an-HTTP-Source#supported-http-headers # # ## Desired source name. # ## Useful if you want to override the source name configured for the source. # # source_name = "" # # ## Desired host name. # ## Useful if you want to override the source host configured for the source. # # source_host = "" # # ## Desired source category. # ## Useful if you want to override the source category configured for the source. # # source_category = "" # # ## Comma-separated key=value list of dimensions to apply to every metric. # ## Custom dimensions will allow you to query your metrics at a more granular level. # # dimensions = "" # # Configuration for Syslog server to send metrics to # [[outputs.syslog]] # ## URL to connect to # ## ex: address = "tcp://127.0.0.1:8094" # ## ex: address = "tcp4://127.0.0.1:8094" # ## ex: address = "tcp6://127.0.0.1:8094" # ## ex: address = "tcp6://[2001:db8::1]:8094" # ## ex: address = "udp://127.0.0.1:8094" # ## ex: address = "udp4://127.0.0.1:8094" # ## ex: address = "udp6://127.0.0.1:8094" # address = "tcp://127.0.0.1:8094" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Period between keep alive probes. # ## Only applies to TCP sockets. # ## 0 disables keep alive probes. # ## Defaults to the OS configuration. # # keep_alive_period = "5m" # # ## The framing technique with which it is expected that messages are # ## transported (default = "octet-counting"). Whether the messages come # ## using the octect-counting (RFC5425#section-4.3.1, RFC6587#section-3.4.1), # ## or the non-transparent framing technique (RFC6587#section-3.4.2). Must # ## be one of "octet-counting", "non-transparent". # # framing = "octet-counting" # # ## The trailer to be expected in case of non-transparent framing (default = "LF"). # ## Must be one of "LF", or "NUL". # # trailer = "LF" # # ## SD-PARAMs settings # ## Syslog messages can contain key/value pairs within zero or more # ## structured data sections. For each unrecognized metric tag/field a # ## SD-PARAMS is created. # ## # ## Example: # ## [[outputs.syslog]] # ## sdparam_separator = "_" # ## default_sdid = "default@32473" # ## sdids = ["foo@123", "bar@456"] # ## # ## input => xyzzy,x=y foo@123_value=42,bar@456_value2=84,something_else=1 # ## output (structured data only) => [foo@123 value=42][bar@456 value2=84][default@32473 something_else=1 x=y] # # ## SD-PARAMs separator between the sdid and tag/field key (default = "_") # # sdparam_separator = "_" # # ## Default sdid used for tags/fields that don't contain a prefix defined in # ## the explicit sdids setting below If no default is specified, no SD-PARAMs # ## will be used for unrecognized field. # # default_sdid = "default@32473" # # ## List of explicit prefixes to extract from tag/field keys and use as the # ## SDID, if they match (see above example for more details): # # sdids = ["foo@123", "bar@456"] # # ## Default severity value. Severity and Facility are used to calculate the # ## message PRI value (RFC5424#section-6.2.1). Used when no metric field # ## with key "severity_code" is defined. If unset, 5 (notice) is the default # # default_severity_code = 5 # # ## Default facility value. Facility and Severity are used to calculate the # ## message PRI value (RFC5424#section-6.2.1). Used when no metric field with # ## key "facility_code" is defined. If unset, 1 (user-level) is the default # # default_facility_code = 1 # # ## Default APP-NAME value (RFC5424#section-6.2.5) # ## Used when no metric tag with key "appname" is defined. # ## If unset, "Telegraf" is the default # # default_appname = "Telegraf" # # Configuration for Amazon Timestream output. # [[outputs.timestream]] # ## Amazon Region # region = "us-east-1" # # ## Amazon Credentials # ## Credentials are loaded in the following order: # ## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified # ## 2) Assumed credentials via STS if role_arn is specified # ## 3) explicit credentials from 'access_key' and 'secret_key' # ## 4) shared profile from 'profile' # ## 5) environment variables # ## 6) shared credentials file # ## 7) EC2 Instance Profile # #access_key = "" # #secret_key = "" # #token = "" # #role_arn = "" # #web_identity_token_file = "" # #role_session_name = "" # #profile = "" # #shared_credential_file = "" # # ## Endpoint to make request against, the correct endpoint is automatically # ## determined and this option should only be set if you wish to override the # ## default. # ## ex: endpoint_url = "http://localhost:8000" # # endpoint_url = "" # # ## Timestream database where the metrics will be inserted. # ## The database must exist prior to starting Telegraf. # database_name = "yourDatabaseNameHere" # # ## Specifies if the plugin should describe the Timestream database upon starting # ## to validate if it has access necessary permissions, connection, etc., as a safety check. # ## If the describe operation fails, the plugin will not start # ## and therefore the Telegraf agent will not start. # describe_database_on_start = false # # ## The mapping mode specifies how Telegraf records are represented in Timestream. # ## Valid values are: single-table, multi-table. # ## For example, consider the following data in line protocol format: # ## weather,location=us-midwest,season=summer temperature=82,humidity=71 1465839830100400200 # ## airquality,location=us-west no2=5,pm25=16 1465839830100400200 # ## where weather and airquality are the measurement names, location and season are tags, # ## and temperature, humidity, no2, pm25 are fields. # ## In multi-table mode: # ## - first line will be ingested to table named weather # ## - second line will be ingested to table named airquality # ## - the tags will be represented as dimensions # ## - first table (weather) will have two records: # ## one with measurement name equals to temperature, # ## another with measurement name equals to humidity # ## - second table (airquality) will have two records: # ## one with measurement name equals to no2, # ## another with measurement name equals to pm25 # ## - the Timestream tables from the example will look like this: # ## TABLE "weather": # ## time | location | season | measure_name | measure_value::bigint # ## 2016-06-13 17:43:50 | us-midwest | summer | temperature | 82 # ## 2016-06-13 17:43:50 | us-midwest | summer | humidity | 71 # ## TABLE "airquality": # ## time | location | measure_name | measure_value::bigint # ## 2016-06-13 17:43:50 | us-west | no2 | 5 # ## 2016-06-13 17:43:50 | us-west | pm25 | 16 # ## In single-table mode: # ## - the data will be ingested to a single table, which name will be valueOf(single_table_name) # ## - measurement name will stored in dimension named valueOf(single_table_dimension_name_for_telegraf_measurement_name) # ## - location and season will be represented as dimensions # ## - temperature, humidity, no2, pm25 will be represented as measurement name # ## - the Timestream table from the example will look like this: # ## Assuming: # ## - single_table_name = "my_readings" # ## - single_table_dimension_name_for_telegraf_measurement_name = "namespace" # ## TABLE "my_readings": # ## time | location | season | namespace | measure_name | measure_value::bigint # ## 2016-06-13 17:43:50 | us-midwest | summer | weather | temperature | 82 # ## 2016-06-13 17:43:50 | us-midwest | summer | weather | humidity | 71 # ## 2016-06-13 17:43:50 | us-west | NULL | airquality | no2 | 5 # ## 2016-06-13 17:43:50 | us-west | NULL | airquality | pm25 | 16 # ## In most cases, using multi-table mapping mode is recommended. # ## However, you can consider using single-table in situations when you have thousands of measurement names. # mapping_mode = "multi-table" # # ## Only valid and required for mapping_mode = "single-table" # ## Specifies the Timestream table where the metrics will be uploaded. # # single_table_name = "yourTableNameHere" # # ## Only valid and required for mapping_mode = "single-table" # ## Describes what will be the Timestream dimension name for the Telegraf # ## measurement name. # # single_table_dimension_name_for_telegraf_measurement_name = "namespace" # # ## Specifies if the plugin should create the table, if the table do not exist. # ## The plugin writes the data without prior checking if the table exists. # ## When the table does not exist, the error returned from Timestream will cause # ## the plugin to create the table, if this parameter is set to true. # create_table_if_not_exists = true # # ## Only valid and required if create_table_if_not_exists = true # ## Specifies the Timestream table magnetic store retention period in days. # ## Check Timestream documentation for more details. # create_table_magnetic_store_retention_period_in_days = 365 # # ## Only valid and required if create_table_if_not_exists = true # ## Specifies the Timestream table memory store retention period in hours. # ## Check Timestream documentation for more details. # create_table_memory_store_retention_period_in_hours = 24 # # ## Only valid and optional if create_table_if_not_exists = true # ## Specifies the Timestream table tags. # ## Check Timestream documentation for more details # # create_table_tags = { "foo" = "bar", "environment" = "dev"} # # ## Specify the maximum number of parallel go routines to ingest/write data # ## If not specified, defaulted to 1 go routines # max_write_go_routines = 25 # # Write metrics to Warp 10 # [[outputs.warp10]] # # Prefix to add to the measurement. # prefix = "telegraf." # # # URL of the Warp 10 server # warp_url = "http://localhost:8080" # # # Write token to access your app on warp 10 # token = "Token" # # # Warp 10 query timeout # # timeout = "15s" # # ## Print Warp 10 error body # # print_error_body = false # # ## Max string error size # # max_string_error_size = 511 # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Configuration for Wavefront server to send metrics to # [[outputs.wavefront]] # ## Url for Wavefront Direct Ingestion. For Wavefront Proxy Ingestion, see # ## the 'host' and 'port' optioins below. # url = "https://metrics.wavefront.com" # # ## Authentication Token for Wavefront. Only required if using Direct Ingestion # #token = "DUMMY_TOKEN" # # ## DNS name of the wavefront proxy server. Do not use if url is specified # #host = "wavefront.example.com" # # ## Port that the Wavefront proxy server listens on. Do not use if url is specified # #port = 2878 # # ## prefix for metrics keys # #prefix = "my.specific.prefix." # # ## whether to use "value" for name of simple fields. default is false # #simple_fields = false # # ## character to use between metric and field name. default is . (dot) # #metric_separator = "." # # ## Convert metric name paths to use metricSeparator character # ## When true will convert all _ (underscore) characters in final metric name. default is true # #convert_paths = true # # ## Use Strict rules to sanitize metric and tag names from invalid characters # ## When enabled forward slash (/) and comma (,) will be accepted # #use_strict = false # # ## Use Regex to sanitize metric and tag names from invalid characters # ## Regex is more thorough, but significantly slower. default is false # #use_regex = false # # ## point tags to use as the source name for Wavefront (if none found, host will be used) # #source_override = ["hostname", "address", "agent_host", "node_host"] # # ## whether to convert boolean values to numeric values, with false -> 0.0 and true -> 1.0. default is true # #convert_bool = true # # ## Truncate metric tags to a total of 254 characters for the tag name value. Wavefront will reject any # ## data point exceeding this limit if not truncated. Defaults to 'false' to provide backwards compatibility. # #truncate_tags = false # # ## Flush the internal buffers after each batch. This effectively bypasses the background sending of metrics # ## normally done by the Wavefront SDK. This can be used if you are experiencing buffer overruns. The sending # ## of metrics will block for a longer time, but this will be handled gracefully by the internal buffering in # ## Telegraf. # #immediate_flush = true # # Generic WebSocket output writer. # [[outputs.websocket]] # ## URL is the address to send metrics to. Make sure ws or wss scheme is used. # url = "ws://127.0.0.1:8080/telegraf" # # ## Timeouts (make sure read_timeout is larger than server ping interval or set to zero). # # connect_timeout = "30s" # # write_timeout = "30s" # # read_timeout = "30s" # # ## Optionally turn on using text data frames (binary by default). # # use_text_frames = false # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Optional SOCKS5 proxy to use # # socks5_enabled = true # # socks5_address = "127.0.0.1:1080" # # socks5_username = "alice" # # socks5_password = "pass123" # # ## Data format to output. # ## Each data format has it's own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md # # data_format = "influx" # # ## Additional HTTP Upgrade headers # # [outputs.websocket.headers] # # Authorization = "Bearer " # # Send aggregated metrics to Yandex.Cloud Monitoring # [[outputs.yandex_cloud_monitoring]] # ## Timeout for HTTP writes. # # timeout = "20s" # # ## Yandex.Cloud monitoring API endpoint. Normally should not be changed # # endpoint_url = "https://monitoring.api.cloud.yandex.net/monitoring/v2/data/write" # # ## All user metrics should be sent with "custom" service specified. Normally should not be changed # # service = "custom" ############################################################################### # PROCESSOR PLUGINS # ############################################################################### # # Attach AWS EC2 metadata to metrics # [[processors.aws_ec2]] # ## Instance identity document tags to attach to metrics. # ## For more information see: # ## https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instance-identity-documents.html # ## # ## Available tags: # ## * accountId # ## * architecture # ## * availabilityZone # ## * billingProducts # ## * imageId # ## * instanceId # ## * instanceType # ## * kernelId # ## * pendingTime # ## * privateIp # ## * ramdiskId # ## * region # ## * version # imds_tags = [] # # ## EC2 instance tags retrieved with DescribeTags action. # ## In case tag is empty upon retrieval it's omitted when tagging metrics. # ## Note that in order for this to work, role attached to EC2 instance or AWS # ## credentials available from the environment must have a policy attached, that # ## allows ec2:DescribeTags. # ## # ## For more information see: # ## https://docs.aws.amazon.com/AWSEC2/latest/APIReference/API_DescribeTags.html # ec2_tags = [] # # ## Timeout for http requests made by against aws ec2 metadata endpoint. # timeout = "10s" # # ## ordered controls whether or not the metrics need to stay in the same order # ## this plugin received them in. If false, this plugin will change the order # ## with requests hitting cached results moving through immediately and not # ## waiting on slower lookups. This may cause issues for you if you are # ## depending on the order of metrics staying the same. If so, set this to true. # ## Keeping the metrics ordered may be slightly slower. # ordered = false # # ## max_parallel_calls is the maximum number of AWS API calls to be in flight # ## at the same time. # ## It's probably best to keep this number fairly low. # max_parallel_calls = 10 # # Clone metrics and apply modifications. # [[processors.clone]] # ## All modifications on inputs and aggregators can be overridden: # # name_override = "new_name" # # name_prefix = "new_name_prefix" # # name_suffix = "new_name_suffix" # # ## Tags to be added (all values must be strings) # # [processors.clone.tags] # # additional_tag = "tag_value" # # Convert values to another metric value type # [[processors.converter]] # ## Tags to convert # ## # ## The table key determines the target type, and the array of key-values # ## select the keys to convert. The array may contain globs. # ## = [...] # [processors.converter.tags] # measurement = [] # string = [] # integer = [] # unsigned = [] # boolean = [] # float = [] # # ## Fields to convert # ## # ## The table key determines the target type, and the array of key-values # ## select the keys to convert. The array may contain globs. # ## = [...] # [processors.converter.fields] # measurement = [] # tag = [] # string = [] # integer = [] # unsigned = [] # boolean = [] # float = [] # # Dates measurements, tags, and fields that pass through this filter. # [[processors.date]] # ## New tag to create # tag_key = "month" # # ## New field to create (cannot set both field_key and tag_key) # # field_key = "month" # # ## Date format string, must be a representation of the Go "reference time" # ## which is "Mon Jan 2 15:04:05 -0700 MST 2006". # date_format = "Jan" # # ## If destination is a field, date format can also be one of # ## "unix", "unix_ms", "unix_us", or "unix_ns", which will insert an integer field. # # date_format = "unix" # # ## Offset duration added to the date string when writing the new tag. # # date_offset = "0s" # # ## Timezone to use when creating the tag or field using a reference time # ## string. This can be set to one of "UTC", "Local", or to a location name # ## in the IANA Time Zone database. # ## example: timezone = "America/Los_Angeles" # # timezone = "UTC" # # Filter metrics with repeating field values # [[processors.dedup]] # ## Maximum time to suppress output # dedup_interval = "600s" # # Defaults sets default value(s) for specified fields that are not set on incoming metrics. # [[processors.defaults]] # ## Ensures a set of fields always exists on your metric(s) with their # ## respective default value. # ## For any given field pair (key = default), if it's not set, a field # ## is set on the metric with the specified default. # ## # ## A field is considered not set if it is nil on the incoming metric; # ## or it is not nil but its value is an empty string or is a string # ## of one or more spaces. # ## = # # [processors.defaults.fields] # # field_1 = "bar" # # time_idle = 0 # # is_error = true # # Map enum values according to given table. # [[processors.enum]] # [[processors.enum.mapping]] # ## Name of the field to map. Globs accepted. # field = "status" # # ## Name of the tag to map. Globs accepted. # # tag = "status" # # ## Destination tag or field to be used for the mapped value. By default the # ## source tag or field is used, overwriting the original value. # dest = "status_code" # # ## Default value to be used for all values not contained in the mapping # ## table. When unset, the unmodified value for the field will be used if no # ## match is found. # # default = 0 # # ## Table of mappings # [processors.enum.mapping.value_mappings] # green = 1 # amber = 2 # red = 3 # # Run executable as long-running processor plugin # [[processors.execd]] # ## Program to run as daemon # ## eg: command = ["/path/to/your_program", "arg1", "arg2"] # command = ["cat"] # # ## Delay before the process is restarted after an unexpected termination # restart_delay = "10s" # # Performs file path manipulations on tags and fields # [[processors.filepath]] # ## Treat the tag value as a path and convert it to its last element, storing the result in a new tag # # [[processors.filepath.basename]] # # tag = "path" # # dest = "basepath" # # ## Treat the field value as a path and keep all but the last element of path, typically the path's directory # # [[processors.filepath.dirname]] # # field = "path" # # ## Treat the tag value as a path, converting it to its the last element without its suffix # # [[processors.filepath.stem]] # # tag = "path" # # ## Treat the tag value as a path, converting it to the shortest path name equivalent # ## to path by purely lexical processing # # [[processors.filepath.clean]] # # tag = "path" # # ## Treat the tag value as a path, converting it to a relative path that is lexically # ## equivalent to the source path when joined to 'base_path' # # [[processors.filepath.rel]] # # tag = "path" # # base_path = "/var/log" # # ## Treat the tag value as a path, replacing each separator character in path with a '/' character. Has only # ## effect on Windows # # [[processors.filepath.toslash]] # # tag = "path" # # Add a tag of the network interface name looked up over SNMP by interface number # [[processors.ifname]] # ## Name of tag holding the interface number # # tag = "ifIndex" # # ## Name of output tag where service name will be added # # dest = "ifName" # # ## Name of tag of the SNMP agent to request the interface name from # # agent = "agent" # # ## Timeout for each request. # # timeout = "5s" # # ## SNMP version; can be 1, 2, or 3. # # version = 2 # # ## SNMP community string. # # community = "public" # # ## Number of retries to attempt. # # retries = 3 # # ## The GETBULK max-repetitions parameter. # # max_repetitions = 10 # # ## SNMPv3 authentication and encryption options. # ## # ## Security Name. # # sec_name = "myuser" # ## Authentication protocol; one of "MD5", "SHA", or "". # # auth_protocol = "MD5" # ## Authentication password. # # auth_password = "pass" # ## Security Level; one of "noAuthNoPriv", "authNoPriv", or "authPriv". # # sec_level = "authNoPriv" # ## Context Name. # # context_name = "" # ## Privacy protocol used for encrypted messages; one of "DES", "AES" or "". # # priv_protocol = "" # ## Privacy password used for encrypted messages. # # priv_password = "" # # ## max_parallel_lookups is the maximum number of SNMP requests to # ## make at the same time. # # max_parallel_lookups = 100 # # ## ordered controls whether or not the metrics need to stay in the # ## same order this plugin received them in. If false, this plugin # ## may change the order when data is cached. If you need metrics to # ## stay in order set this to true. keeping the metrics ordered may # ## be slightly slower # # ordered = false # # ## cache_ttl is the amount of time interface names are cached for a # ## given agent. After this period elapses if names are needed they # ## will be retrieved again. # # cache_ttl = "8h" # # Adds noise to numerical fields # [[processors.noise]] # ## Specified the type of the random distribution. # ## Can be "laplacian", "gaussian" or "uniform". # # type = "laplacian # # ## Center of the distribution. # ## Only used for Laplacian and Gaussian distributions. # # mu = 0.0 # # ## Scale parameter for the Laplacian or Gaussian distribution # # scale = 1.0 # # ## Upper and lower bound of the Uniform distribution # # min = -1.0 # # max = 1.0 # # ## Apply the noise only to numeric fields matching the filter criteria below. # ## Excludes takes precedence over includes. # # include_fields = [] # # exclude_fields = [] # # Apply metric modifications using override semantics. # [[processors.override]] # ## All modifications on inputs and aggregators can be overridden: # # name_override = "new_name" # # name_prefix = "new_name_prefix" # # name_suffix = "new_name_suffix" # # ## Tags to be added (all values must be strings) # # [processors.override.tags] # # additional_tag = "tag_value" # # Parse a value in a specified field/tag(s) and add the result in a new metric # [[processors.parser]] # ## The name of the fields whose value will be parsed. # parse_fields = [] # # ## If true, incoming metrics are not emitted. # drop_original = false # # ## If set to override, emitted metrics will be merged by overriding the # ## original metric using the newly parsed metrics. # merge = "override" # # ## The dataformat to be read from files # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # Rotate a single valued metric into a multi field metric # [[processors.pivot]] # ## Tag to use for naming the new field. # tag_key = "name" # ## Field to use as the value of the new field. # value_key = "value" # # Given a tag/field of a TCP or UDP port number, add a tag/field of the service name looked up in the system services file # [[processors.port_name]] # [[processors.port_name]] # ## Name of tag holding the port number # # tag = "port" # ## Or name of the field holding the port number # # field = "port" # # ## Name of output tag or field (depending on the source) where service name will be added # # dest = "service" # # ## Default tcp or udp # # default_protocol = "tcp" # # ## Tag containing the protocol (tcp or udp, case-insensitive) # # protocol_tag = "proto" # # ## Field containing the protocol (tcp or udp, case-insensitive) # # protocol_field = "proto" # # Print all metrics that pass through this filter. # [[processors.printer]] # # Transforms tag and field values as well as measurement, tag and field names with regex pattern # [[processors.regex]] # ## Tag and field conversions defined in a separate sub-tables # # [[processors.regex.tags]] # # ## Tag to change # # key = "resp_code" # # ## Regular expression to match on a tag value # # pattern = "^(\\d)\\d\\d$" # # ## Matches of the pattern will be replaced with this string. Use ${1} # # ## notation to use the text of the first submatch. # # replacement = "${1}xx" # # # [[processors.regex.fields]] # # ## Field to change # # key = "request" # # ## All the power of the Go regular expressions available here # # ## For example, named subgroups # # pattern = "^/api(?P/[\\w/]+)\\S*" # # replacement = "${method}" # # ## If result_key is present, a new field will be created # # ## instead of changing existing field # # result_key = "method" # # ## Multiple conversions may be applied for one field sequentially # ## Let's extract one more value # # [[processors.regex.fields]] # # key = "request" # # pattern = ".*category=(\\w+).*" # # replacement = "${1}" # # result_key = "search_category" # # ## Rename metric fields # # [[processors.regex.field_rename]] # # ## Regular expression to match on a field name # # pattern = "^search_(\\w+)d$" # # ## Matches of the pattern will be replaced with this string. Use ${1} # # ## notation to use the text of the first submatch. # # replacement = "${1}" # # ## If the new field name already exists, you can either "overwrite" the # # ## existing one with the value of the renamed field OR you can "keep" # # ## both the existing and source field. # # # result_key = "keep" # # ## Rename metric tags # # [[processors.regex.tag_rename]] # # ## Regular expression to match on a tag name # # pattern = "^search_(\\w+)d$" # # ## Matches of the pattern will be replaced with this string. Use ${1} # # ## notation to use the text of the first submatch. # # replacement = "${1}" # # ## If the new tag name already exists, you can either "overwrite" the # # ## existing one with the value of the renamed tag OR you can "keep" # # ## both the existing and source tag. # # # result_key = "keep" # # ## Rename metrics # # [[processors.regex.metric_rename]] # # ## Regular expression to match on an metric name # # pattern = "^search_(\\w+)d$" # # ## Matches of the pattern will be replaced with this string. Use ${1} # # ## notation to use the text of the first submatch. # # replacement = "${1}" # # Rename measurements, tags, and fields that pass through this filter. # [[processors.rename]] # # ReverseDNS does a reverse lookup on IP addresses to retrieve the DNS name # [[processors.reverse_dns]] # ## For optimal performance, you may want to limit which metrics are passed to this # ## processor. eg: # ## namepass = ["my_metric_*"] # # ## cache_ttl is how long the dns entries should stay cached for. # ## generally longer is better, but if you expect a large number of diverse lookups # ## you'll want to consider memory use. # cache_ttl = "24h" # # ## lookup_timeout is how long should you wait for a single dns request to repsond. # ## this is also the maximum acceptable latency for a metric travelling through # ## the reverse_dns processor. After lookup_timeout is exceeded, a metric will # ## be passed on unaltered. # ## multiple simultaneous resolution requests for the same IP will only make a # ## single rDNS request, and they will all wait for the answer for this long. # lookup_timeout = "3s" # # ## max_parallel_lookups is the maximum number of dns requests to be in flight # ## at the same time. Requesting hitting cached values do not count against this # ## total, and neither do mulptiple requests for the same IP. # ## It's probably best to keep this number fairly low. # max_parallel_lookups = 10 # # ## ordered controls whether or not the metrics need to stay in the same order # ## this plugin received them in. If false, this plugin will change the order # ## with requests hitting cached results moving through immediately and not # ## waiting on slower lookups. This may cause issues for you if you are # ## depending on the order of metrics staying the same. If so, set this to true. # ## keeping the metrics ordered may be slightly slower. # ordered = false # # [[processors.reverse_dns.lookup]] # ## get the ip from the field "source_ip", and put the result in the field "source_name" # field = "source_ip" # dest = "source_name" # # [[processors.reverse_dns.lookup]] # ## get the ip from the tag "destination_ip", and put the result in the tag # ## "destination_name". # tag = "destination_ip" # dest = "destination_name" # # ## If you would prefer destination_name to be a field instead, you can use a # ## processors.converter after this one, specifying the order attribute. # # Add the S2 Cell ID as a tag based on latitude and longitude fields # [[processors.s2geo]] # ## The name of the lat and lon fields containing WGS-84 latitude and # ## longitude in decimal degrees. # # lat_field = "lat" # # lon_field = "lon" # # ## New tag to create # # tag_key = "s2_cell_id" # # ## Cell level (see https://s2geometry.io/resources/s2cell_statistics.html) # # cell_level = 9 # # Process metrics using a Starlark script # [[processors.starlark]] # ## The Starlark source can be set as a string in this configuration file, or # ## by referencing a file containing the script. Only one source or script # ## should be set at once. # ## # ## Source of the Starlark script. # source = ''' # def apply(metric): # return metric # ''' # # ## File containing a Starlark script. # # script = "/usr/local/bin/myscript.star" # # ## The constants of the Starlark script. # # [processors.starlark.constants] # # max_size = 10 # # threshold = 0.75 # # default_name = "Julia" # # debug_mode = true # # Perform string processing on tags, fields, and measurements # [[processors.strings]] # ## Convert a tag value to uppercase # # [[processors.strings.uppercase]] # # tag = "method" # # ## Convert a field value to lowercase and store in a new field # # [[processors.strings.lowercase]] # # field = "uri_stem" # # dest = "uri_stem_normalised" # # ## Convert a field value to titlecase # # [[processors.strings.titlecase]] # # field = "status" # # ## Trim leading and trailing whitespace using the default cutset # # [[processors.strings.trim]] # # field = "message" # # ## Trim leading characters in cutset # # [[processors.strings.trim_left]] # # field = "message" # # cutset = "\t" # # ## Trim trailing characters in cutset # # [[processors.strings.trim_right]] # # field = "message" # # cutset = "\r\n" # # ## Trim the given prefix from the field # # [[processors.strings.trim_prefix]] # # field = "my_value" # # prefix = "my_" # # ## Trim the given suffix from the field # # [[processors.strings.trim_suffix]] # # field = "read_count" # # suffix = "_count" # # ## Replace all non-overlapping instances of old with new # # [[processors.strings.replace]] # # measurement = "*" # # old = ":" # # new = "_" # # ## Trims strings based on width # # [[processors.strings.left]] # # field = "message" # # width = 10 # # ## Decode a base64 encoded utf-8 string # # [[processors.strings.base64decode]] # # field = "message" # # ## Sanitize a string to ensure it is a valid utf-8 string # ## Each run of invalid UTF-8 byte sequences is replaced by the replacement string, which may be empty # # [[processors.strings.valid_utf8]] # # field = "message" # # replacement = "" # # Restricts the number of tags that can pass through this filter and chooses which tags to preserve when over the limit. # [[processors.tag_limit]] # ## Maximum number of tags to preserve # limit = 10 # # ## List of tags to preferentially preserve # keep = ["foo", "bar", "baz"] # # Uses a Go template to create a new tag # [[processors.template]] # ## Tag to set with the output of the template. # tag = "topic" # # ## Go template used to create the tag value. In order to ease TOML # ## escaping requirements, you may wish to use single quotes around the # ## template string. # template = '{{ .Tag "hostname" }}.{{ .Tag "level" }}' # # Print all metrics that pass through this filter. # [[processors.topk]] # ## How many seconds between aggregations # # period = 10 # # ## How many top buckets to return per field # ## Every field specified to aggregate over will return k number of results. # ## For example, 1 field with k of 10 will return 10 buckets. While 2 fields # ## with k of 3 will return 6 buckets. # # k = 10 # # ## Over which tags should the aggregation be done. Globs can be specified, in # ## which case any tag matching the glob will aggregated over. If set to an # ## empty list is no aggregation over tags is done # # group_by = ['*'] # # ## The field(s) to aggregate # ## Each field defined is used to create an independent aggregation. Each # ## aggregation will return k buckets. If a metric does not have a defined # ## field the metric will be dropped from the aggregation. Considering using # ## the defaults processor plugin to ensure fields are set if required. # # fields = ["value"] # # ## What aggregation to use. Options: sum, mean, min, max # # aggregation = "mean" # # ## Instead of the top k largest metrics, return the bottom k lowest metrics # # bottomk = false # # ## The plugin assigns each metric a GroupBy tag generated from its name and # ## tags. If this setting is different than "" the plugin will add a # ## tag (which name will be the value of this setting) to each metric with # ## the value of the calculated GroupBy tag. Useful for debugging # # add_groupby_tag = "" # # ## These settings provide a way to know the position of each metric in # ## the top k. The 'add_rank_field' setting allows to specify for which # ## fields the position is required. If the list is non empty, then a field # ## will be added to each and every metric for each string present in this # ## setting. This field will contain the ranking of the group that # ## the metric belonged to when aggregated over that field. # ## The name of the field will be set to the name of the aggregation field, # ## suffixed with the string '_topk_rank' # # add_rank_fields = [] # # ## These settings provide a way to know what values the plugin is generating # ## when aggregating metrics. The 'add_aggregate_field' setting allows to # ## specify for which fields the final aggregation value is required. If the # ## list is non empty, then a field will be added to each every metric for # ## each field present in this setting. This field will contain # ## the computed aggregation for the group that the metric belonged to when # ## aggregated over that field. # ## The name of the field will be set to the name of the aggregation field, # ## suffixed with the string '_topk_aggregate' # # add_aggregate_fields = [] # # Rotate multi field metric into several single field metrics # [[processors.unpivot]] # ## Tag to use for the name. # tag_key = "name" # ## Field to use for the name of the value. # value_key = "value" ############################################################################### # AGGREGATOR PLUGINS # ############################################################################### # # Keep the aggregate basicstats of each metric passing through. # [[aggregators.basicstats]] # ## The period on which to flush & clear the aggregator. # period = "30s" # # ## If true, the original metric will be dropped by the # ## aggregator and will not get sent to the output plugins. # drop_original = false # # ## Configures which basic stats to push as fields # # stats = ["count", "min", "max", "mean", "stdev", "s2", "sum"] # # Calculates a derivative for every field. # [[aggregators.derivative]] # ## The period in which to flush the aggregator. # period = "30s" # ## # ## If true, the original metric will be dropped by the # ## aggregator and will not get sent to the output plugins. # drop_original = false # ## # ## This aggregator will estimate a derivative for each field, which is # ## contained in both the first and last metric of the aggregation interval. # ## Without further configuration the derivative will be calculated with # ## respect to the time difference between these two measurements in seconds. # ## The formula applied is for every field: # ## # ## value_last - value_first # ## derivative = -------------------------- # ## time_difference_in_seconds # ## # ## The resulting derivative will be named *fieldname_rate*. The suffix # ## "_rate" can be configured by the *suffix* parameter. When using a # ## derivation variable you can include its name for more clarity. # # suffix = "_rate" # ## # ## As an abstraction the derivative can be calculated not only by the time # ## difference but by the difference of a field, which is contained in the # ## measurement. This field is assumed to be monotonously increasing. This # ## feature is used by specifying a *variable*. # ## Make sure the specified variable is not filtered and exists in the metrics # ## passed to this aggregator! # # variable = "" # ## # ## When using a field as the derivation parameter the name of that field will # ## be used for the resulting derivative, e.g. *fieldname_by_parameter*. # ## # ## Note, that the calculation is based on the actual timestamp of the # ## measurements. When there is only one measurement during that period, the # ## measurement will be rolled over to the next period. The maximum number of # ## such roll-overs can be configured with a default of 10. # # max_roll_over = 10 # ## # # Report the final metric of a series # [[aggregators.final]] # ## The period on which to flush & clear the aggregator. # period = "30s" # ## If true, the original metric will be dropped by the # ## aggregator and will not get sent to the output plugins. # drop_original = false # # ## The time that a series is not updated until considering it final. # series_timeout = "5m" # # Create aggregate histograms. # [[aggregators.histogram]] # ## The period in which to flush the aggregator. # period = "30s" # # ## If true, the original metric will be dropped by the # ## aggregator and will not get sent to the output plugins. # drop_original = false # # ## If true, the histogram will be reset on flush instead # ## of accumulating the results. # reset = false # # ## Whether bucket values should be accumulated. If set to false, "gt" tag will be added. # ## Defaults to true. # cumulative = true # # ## Expiration interval for each histogram. The histogram will be expired if # ## there are no changes in any buckets for this time interval. 0 == no expiration. # # expiration_interval = "0m" # # ## If true, aggregated histogram are pushed to output only if it was updated since # ## previous push. Defaults to false. # # push_only_on_update = false # # ## Example config that aggregates all fields of the metric. # # [[aggregators.histogram.config]] # # ## Right borders of buckets (with +Inf implicitly added). # # buckets = [0.0, 15.6, 34.5, 49.1, 71.5, 80.5, 94.5, 100.0] # # ## The name of metric. # # measurement_name = "cpu" # # ## Example config that aggregates only specific fields of the metric. # # [[aggregators.histogram.config]] # # ## Right borders of buckets (with +Inf implicitly added). # # buckets = [0.0, 10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0] # # ## The name of metric. # # measurement_name = "diskio" # # ## The concrete fields of metric # # fields = ["io_time", "read_time", "write_time"] # # Merge metrics into multifield metrics by series key # [[aggregators.merge]] # ## If true, the original metric will be dropped by the # ## aggregator and will not get sent to the output plugins. # drop_original = true # # Keep the aggregate min/max of each metric passing through. # [[aggregators.minmax]] # ## General Aggregator Arguments: # ## The period on which to flush & clear the aggregator. # period = "30s" # ## If true, the original metric will be dropped by the # ## aggregator and will not get sent to the output plugins. # drop_original = false # # Keep the aggregate quantiles of each metric passing through. # [[aggregators.quantile]] # ## General Aggregator Arguments: # ## The period on which to flush & clear the aggregator. # period = "30s" # # ## If true, the original metric will be dropped by the # ## aggregator and will not get sent to the output plugins. # drop_original = false # # ## Quantiles to output in the range [0,1] # # quantiles = [0.25, 0.5, 0.75] # # ## Type of aggregation algorithm # ## Supported are: # ## "t-digest" -- approximation using centroids, can cope with large number of samples # ## "exact R7" -- exact computation also used by Excel or NumPy (Hyndman & Fan 1996 R7) # ## "exact R8" -- exact computation (Hyndman & Fan 1996 R8) # ## NOTE: Do not use "exact" algorithms with large number of samples # ## to not impair performance or memory consumption! # # algorithm = "t-digest" # # ## Compression for approximation (t-digest). The value needs to be # ## greater or equal to 1.0. Smaller values will result in more # ## performance but less accuracy. # # compression = 100.0 # # Aggregate metrics using a Starlark script # [[aggregators.starlark]] # ## The Starlark source can be set as a string in this configuration file, or # ## by referencing a file containing the script. Only one source or script # ## should be set at once. # ## # ## Source of the Starlark script. # source = ''' # state = {} # # def add(metric): # state["last"] = metric # # def push(): # return state.get("last") # # def reset(): # state.clear() # ''' # # ## File containing a Starlark script. # # script = "/usr/local/bin/myscript.star" # # ## The constants of the Starlark script. # # [aggregators.starlark.constants] # # max_size = 10 # # threshold = 0.75 # # default_name = "Julia" # # debug_mode = true # # Count the occurrence of values in fields. # [[aggregators.valuecounter]] # ## General Aggregator Arguments: # ## The period on which to flush & clear the aggregator. # period = "30s" # ## If true, the original metric will be dropped by the # ## aggregator and will not get sent to the output plugins. # drop_original = false # ## The fields for which the values will be counted # fields = [] ############################################################################### # INPUT PLUGINS # ############################################################################### # Read metrics about cpu usage [[inputs.cpu]] ## Whether to report per-cpu stats or not percpu = true ## Whether to report total system cpu stats or not totalcpu = true ## If true, collect raw CPU time metrics collect_cpu_time = false ## If true, compute and report the sum of all non-idle CPU states report_active = false # Read metrics about disk usage by mount point [[inputs.disk]] ## By default stats will be gathered for all mount points. ## Set mount_points will restrict the stats to only the specified mount points. # mount_points = ["/"] ## Ignore mount points by filesystem type. ignore_fs = ["tmpfs", "devtmpfs", "devfs", "iso9660", "overlay", "aufs", "squashfs"] # Read metrics about disk IO by device [[inputs.diskio]] ## By default, telegraf will gather stats for all devices including ## disk partitions. ## Setting devices will restrict the stats to the specified devices. # devices = ["sda", "sdb", "vd*"] ## Uncomment the following line if you need disk serial numbers. # skip_serial_number = false # ## On systems which support it, device metadata can be added in the form of ## tags. ## Currently only Linux is supported via udev properties. You can view ## available properties for a device by running: ## 'udevadm info -q property -n /dev/sda' ## Note: Most, but not all, udev properties can be accessed this way. Properties ## that are currently inaccessible include DEVTYPE, DEVNAME, and DEVPATH. # device_tags = ["ID_FS_TYPE", "ID_FS_USAGE"] # ## Using the same metadata source as device_tags, you can also customize the ## name of the device via templates. ## The 'name_templates' parameter is a list of templates to try and apply to ## the device. The template may contain variables in the form of '$PROPERTY' or ## '${PROPERTY}'. The first template which does not contain any variables not ## present for the device is used as the device name tag. ## The typical use case is for LVM volumes, to get the VG/LV name instead of ## the near-meaningless DM-0 name. # name_templates = ["$ID_FS_LABEL","$DM_VG_NAME/$DM_LV_NAME"] # Get kernel statistics from /proc/stat [[inputs.kernel]] # no configuration # Read metrics about memory usage [[inputs.mem]] # no configuration # Get the number of processes and group them by status [[inputs.processes]] # no configuration # Read metrics about swap memory usage [[inputs.swap]] # no configuration # Read metrics about system load & uptime [[inputs.system]] ## Uncomment to remove deprecated metrics. # fielddrop = ["uptime_format"] # # Gather ActiveMQ metrics # [[inputs.activemq]] # ## ActiveMQ WebConsole URL # url = "http://127.0.0.1:8161" # # ## Credentials for basic HTTP authentication # # username = "admin" # # password = "admin" # # ## Required ActiveMQ webadmin root path # # webadmin = "admin" # # ## Maximum time to receive response. # # response_timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read stats from aerospike server(s) # [[inputs.aerospike]] # ## Aerospike servers to connect to (with port) # ## This plugin will query all namespaces the aerospike # ## server has configured and get stats for them. # servers = ["localhost:3000"] # # # username = "telegraf" # # password = "pa$$word" # # ## Optional TLS Config # # enable_tls = false # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # # tls_name = "tlsname" # ## If false, skip chain & host verification # # insecure_skip_verify = true # # # Feature Options # # Add namespace variable to limit the namespaces executed on # # Leave blank to do all # # disable_query_namespaces = true # default false # # namespaces = ["namespace1", "namespace2"] # # # Enable set level telemetry # # query_sets = true # default: false # # Add namespace set combinations to limit sets executed on # # Leave blank to do all sets # # sets = ["namespace1/set1", "namespace1/set2", "namespace3"] # # # Histograms # # enable_ttl_histogram = true # default: false # # enable_object_size_linear_histogram = true # default: false # # # by default, aerospike produces a 100 bucket histogram # # this is not great for most graphing tools, this will allow # # the ability to squash this to a smaller number of buckets # # To have a balanced histogram, the number of buckets chosen # # should divide evenly into 100. # # num_histogram_buckets = 100 # default: 10 # # Query statistics from AMD Graphics cards using rocm-smi binary # [[inputs.amd_rocm_smi]] # ## Optional: path to rocm-smi binary, defaults to $PATH via exec.LookPath # # bin_path = "/opt/rocm/bin/rocm-smi" # # ## Optional: timeout for GPU polling # # timeout = "5s" # # Read Apache status information (mod_status) # [[inputs.apache]] # ## An array of URLs to gather from, must be directed at the machine # ## readable version of the mod_status page including the auto query string. # ## Default is "http://localhost/server-status?auto". # urls = ["http://localhost/server-status?auto"] # # ## Credentials for basic HTTP authentication. # # username = "myuser" # # password = "mypassword" # # ## Maximum time to receive response. # # response_timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Monitor APC UPSes connected to apcupsd # [[inputs.apcupsd]] # # A list of running apcupsd server to connect to. # # If not provided will default to tcp://127.0.0.1:3551 # servers = ["tcp://127.0.0.1:3551"] # # ## Timeout for dialing server. # timeout = "5s" # # Gather metrics from Apache Aurora schedulers # [[inputs.aurora]] # ## Schedulers are the base addresses of your Aurora Schedulers # schedulers = ["http://127.0.0.1:8081"] # # ## Set of role types to collect metrics from. # ## # ## The scheduler roles are checked each interval by contacting the # ## scheduler nodes; zookeeper is not contacted. # # roles = ["leader", "follower"] # # ## Timeout is the max time for total network operations. # # timeout = "5s" # # ## Username and password are sent using HTTP Basic Auth. # # username = "username" # # password = "pa$$word" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Gather Azure Storage Queue metrics # [[inputs.azure_storage_queue]] # ## Required Azure Storage Account name # account_name = "mystorageaccount" # # ## Required Azure Storage Account access key # account_key = "storageaccountaccesskey" # # ## Set to false to disable peeking age of oldest message (executes faster) # # peek_oldest_message_age = true # # Read metrics of bcache from stats_total and dirty_data # [[inputs.bcache]] # ## Bcache sets path # ## If not specified, then default is: # bcachePath = "/sys/fs/bcache" # # ## By default, Telegraf gather stats for all bcache devices # ## Setting devices will restrict the stats to the specified # ## bcache devices. # bcacheDevs = ["bcache0"] # # Collects Beanstalkd server and tubes stats # [[inputs.beanstalkd]] # ## Server to collect data from # server = "localhost:11300" # # ## List of tubes to gather stats about. # ## If no tubes specified then data gathered for each tube on server reported by list-tubes command # tubes = ["notifications"] # # Read metrics exposed by Beat # [[inputs.beat]] # ## An URL from which to read Beat-formatted JSON # ## Default is "http://127.0.0.1:5066". # url = "http://127.0.0.1:5066" # # ## Enable collection of the listed stats # ## An empty list means collect all. Available options are currently # ## "beat", "libbeat", "system" and "filebeat". # # include = ["beat", "libbeat", "filebeat"] # # ## HTTP method # # method = "GET" # # ## Optional HTTP headers # # headers = {"X-Special-Header" = "Special-Value"} # # ## Override HTTP "Host" header # # host_header = "logstash.example.com" # # ## Timeout for HTTP requests # # timeout = "5s" # # ## Optional HTTP Basic Auth credentials # # username = "username" # # password = "pa$$word" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read BIND nameserver XML statistics # [[inputs.bind]] # ## An array of BIND XML statistics URI to gather stats. # ## Default is "http://localhost:8053/xml/v3". # # urls = ["http://localhost:8053/xml/v3"] # # gather_memory_contexts = false # # gather_views = false # # ## Timeout for http requests made by bind nameserver # # timeout = "4s" # # Collect bond interface status, slaves statuses and failures count # [[inputs.bond]] # ## Sets 'proc' directory path # ## If not specified, then default is /proc # # host_proc = "/proc" # # ## Sets 'sys' directory path # ## If not specified, then default is /sys # # host_sys = "/sys" # # ## By default, telegraf gather stats for all bond interfaces # ## Setting interfaces will restrict the stats to the specified # ## bond interfaces. # # bond_interfaces = ["bond0"] # # ## Tries to collect additional bond details from /sys/class/net/{bond} # ## currently only useful for LACP (mode 4) bonds # # collect_sys_details = false # # # Collect Kafka topics and consumers status from Burrow HTTP API. # [[inputs.burrow]] # ## Burrow API endpoints in format "schema://host:port". # ## Default is "http://localhost:8000". # servers = ["http://localhost:8000"] # # ## Override Burrow API prefix. # ## Useful when Burrow is behind reverse-proxy. # # api_prefix = "/v3/kafka" # # ## Maximum time to receive response. # # response_timeout = "5s" # # ## Limit per-server concurrent connections. # ## Useful in case of large number of topics or consumer groups. # # concurrent_connections = 20 # # ## Filter clusters, default is no filtering. # ## Values can be specified as glob patterns. # # clusters_include = [] # # clusters_exclude = [] # # ## Filter consumer groups, default is no filtering. # ## Values can be specified as glob patterns. # # groups_include = [] # # groups_exclude = [] # # ## Filter topics, default is no filtering. # ## Values can be specified as glob patterns. # # topics_include = [] # # topics_exclude = [] # # ## Credentials for basic HTTP authentication. # # username = "" # # password = "" # # ## Optional SSL config # # ssl_ca = "/etc/telegraf/ca.pem" # # ssl_cert = "/etc/telegraf/cert.pem" # # ssl_key = "/etc/telegraf/key.pem" # # insecure_skip_verify = false # # Collects performance metrics from the MON, OSD, MDS and RGW nodes in a Ceph storage cluster. # [[inputs.ceph]] # ## This is the recommended interval to poll. Too frequent and you will lose # ## data points due to timeouts during rebalancing and recovery # interval = '1m' # # ## All configuration values are optional, defaults are shown below # # ## location of ceph binary # ceph_binary = "/usr/bin/ceph" # # ## directory in which to look for socket files # socket_dir = "/var/run/ceph" # # ## prefix of MON and OSD socket files, used to determine socket type # mon_prefix = "ceph-mon" # osd_prefix = "ceph-osd" # mds_prefix = "ceph-mds" # rgw_prefix = "ceph-client" # # ## suffix used to identify socket files # socket_suffix = "asok" # # ## Ceph user to authenticate as, ceph will search for the corresponding keyring # ## e.g. client.admin.keyring in /etc/ceph, or the explicit path defined in the # ## client section of ceph.conf for example: # ## # ## [client.telegraf] # ## keyring = /etc/ceph/client.telegraf.keyring # ## # ## Consult the ceph documentation for more detail on keyring generation. # ceph_user = "client.admin" # # ## Ceph configuration to use to locate the cluster # ceph_config = "/etc/ceph/ceph.conf" # # ## Whether to gather statistics via the admin socket # gather_admin_socket_stats = true # # ## Whether to gather statistics via ceph commands, requires ceph_user and ceph_config # ## to be specified # gather_cluster_stats = false # # Read specific statistics per cgroup # [[inputs.cgroup]] # ## Directories in which to look for files, globs are supported. # ## Consider restricting paths to the set of cgroups you really # ## want to monitor if you have a large number of cgroups, to avoid # ## any cardinality issues. # # paths = [ # # "/sys/fs/cgroup/memory", # # "/sys/fs/cgroup/memory/child1", # # "/sys/fs/cgroup/memory/child2/*", # # ] # ## cgroup stat fields, as file names, globs are supported. # ## these file names are appended to each path from above. # # files = ["memory.*usage*", "memory.limit_in_bytes"] # # Get standard chrony metrics, requires chronyc executable. # [[inputs.chrony]] # ## If true, chronyc tries to perform a DNS lookup for the time server. # # dns_lookup = false # # Pull Metric Statistics from Amazon CloudWatch # [[inputs.cloudwatch]] # ## Amazon Region # region = "us-east-1" # # ## Amazon Credentials # ## Credentials are loaded in the following order # ## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified # ## 2) Assumed credentials via STS if role_arn is specified # ## 3) explicit credentials from 'access_key' and 'secret_key' # ## 4) shared profile from 'profile' # ## 5) environment variables # ## 6) shared credentials file # ## 7) EC2 Instance Profile # # access_key = "" # # secret_key = "" # # token = "" # # role_arn = "" # # web_identity_token_file = "" # # role_session_name = "" # # profile = "" # # shared_credential_file = "" # # ## Endpoint to make request against, the correct endpoint is automatically # ## determined and this option should only be set if you wish to override the # ## default. # ## ex: endpoint_url = "http://localhost:8000" # # endpoint_url = "" # # ## Set http_proxy (telegraf uses the system wide proxy settings if it's is not set) # # http_proxy_url = "http://localhost:8888" # # # The minimum period for Cloudwatch metrics is 1 minute (60s). However not all # # metrics are made available to the 1 minute period. Some are collected at # # 3 minute, 5 minute, or larger intervals. See https://aws.amazon.com/cloudwatch/faqs/#monitoring. # # Note that if a period is configured that is smaller than the minimum for a # # particular metric, that metric will not be returned by the Cloudwatch API # # and will not be collected by Telegraf. # # # ## Requested CloudWatch aggregation Period (required - must be a multiple of 60s) # period = "5m" # # ## Collection Delay (required - must account for metrics availability via CloudWatch API) # delay = "5m" # # ## Recommended: use metric 'interval' that is a multiple of 'period' to avoid # ## gaps or overlap in pulled data # interval = "5m" # # ## Recommended if "delay" and "period" are both within 3 hours of request time. Invalid values will be ignored. # ## Recently Active feature will only poll for CloudWatch ListMetrics values that occurred within the last 3 Hours. # ## If enabled, it will reduce total API usage of the CloudWatch ListMetrics API and require less memory to retain. # ## Do not enable if "period" or "delay" is longer than 3 hours, as it will not return data more than 3 hours old. # ## See https://docs.aws.amazon.com/AmazonCloudWatch/latest/APIReference/API_ListMetrics.html # #recently_active = "PT3H" # # ## Configure the TTL for the internal cache of metrics. # # cache_ttl = "1h" # # ## Metric Statistic Namespaces (required) # namespaces = ["AWS/ELB"] # # A single metric statistic namespace that will be appended to namespaces on startup # # namespace = "AWS/ELB" # # ## Maximum requests per second. Note that the global default AWS rate limit is # ## 50 reqs/sec, so if you define multiple namespaces, these should add up to a # ## maximum of 50. # ## See http://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/cloudwatch_limits.html # # ratelimit = 25 # # ## Timeout for http requests made by the cloudwatch client. # # timeout = "5s" # # ## Namespace-wide statistic filters. These allow fewer queries to be made to # ## cloudwatch. # # statistic_include = [ "average", "sum", "minimum", "maximum", sample_count" ] # # statistic_exclude = [] # # ## Metrics to Pull # ## Defaults to all Metrics in Namespace if nothing is provided # ## Refreshes Namespace available metrics every 1h # #[[inputs.cloudwatch.metrics]] # # names = ["Latency", "RequestCount"] # # # # ## Statistic filters for Metric. These allow for retrieving specific # # ## statistics for an individual metric. # # # statistic_include = [ "average", "sum", "minimum", "maximum", sample_count" ] # # # statistic_exclude = [] # # # # ## Dimension filters for Metric. All dimensions defined for the metric names # # ## must be specified in order to retrieve the metric statistics. # # ## 'value' has wildcard / 'glob' matching support such as 'p-*'. # # [[inputs.cloudwatch.metrics.dimensions]] # # name = "LoadBalancerName" # # value = "p-example" # # Collects conntrack stats from the configured directories and files. # [[inputs.conntrack]] # ## The following defaults would work with multiple versions of conntrack. # ## Note the nf_ and ip_ filename prefixes are mutually exclusive across # ## kernel versions, as are the directory locations. # # ## Superset of filenames to look for within the conntrack dirs. # ## Missing files will be ignored. # files = ["ip_conntrack_count","ip_conntrack_max", # "nf_conntrack_count","nf_conntrack_max"] # # ## Directories to search within for the conntrack files above. # ## Missing directories will be ignored. # dirs = ["/proc/sys/net/ipv4/netfilter","/proc/sys/net/netfilter"] # # Gather health check statuses from services registered in Consul # [[inputs.consul]] # ## Consul server address # # address = "localhost:8500" # # ## URI scheme for the Consul server, one of "http", "https" # # scheme = "http" # # ## Metric version controls the mapping from Consul metrics into # ## Telegraf metrics. # ## # ## example: metric_version = 1; deprecated in 1.15 # ## metric_version = 2; recommended version # # metric_version = 1 # # ## ACL token used in every request # # token = "" # # ## HTTP Basic Authentication username and password. # # username = "" # # password = "" # # ## Data center to query the health checks from # # datacenter = "" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = true # # ## Consul checks' tag splitting # # When tags are formatted like "key:value" with ":" as a delimiter then # # they will be splitted and reported as proper key:value in Telegraf # # tag_delimiter = ":" # # Read metrics from the Consul Agent API # [[inputs.consul_agent]] # ## URL for the Consul agent # # url = "http://127.0.0.1:8500" # # ## Use auth token for authorization. # ## Only one of the options can be set. Leave empty to not use any token. # # 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 # # Read per-node and per-bucket metrics from Couchbase # [[inputs.couchbase]] # ## specify servers via a url matching: # ## [protocol://][:password]@address[:port] # ## e.g. # ## http://couchbase-0.example.com/ # ## http://admin:secret@couchbase-0.example.com:8091/ # ## # ## If no servers are specified, then localhost is used as the host. # ## If no protocol is specified, HTTP is used. # ## If no port is specified, 8091 is used. # servers = ["http://localhost:8091"] # # ## Filter bucket fields to include only here. # # bucket_stats_included = ["quota_percent_used", "ops_per_sec", "disk_fetches", "item_count", "disk_used", "data_used", "mem_used"] # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification (defaults to false) # ## If set to false, tls_cert and tls_key are required # # insecure_skip_verify = false # # Read CouchDB Stats from one or more servers # [[inputs.couchdb]] # ## Works with CouchDB stats endpoints out of the box # ## Multiple Hosts from which to read CouchDB stats: # hosts = ["http://localhost:8086/_stats"] # # ## Use HTTP Basic Authentication. # # basic_username = "telegraf" # # basic_password = "p@ssw0rd" # # Fetch metrics from a CSGO SRCDS # [[inputs.csgo]] # ## Specify servers using the following format: # ## servers = [ # ## ["ip1:port1", "rcon_password1"], # ## ["ip2:port2", "rcon_password2"], # ## ] # # # ## If no servers are specified, no data will be collected # servers = [] # # Input plugin for DC/OS metrics # [[inputs.dcos]] # ## The DC/OS cluster URL. # cluster_url = "https://dcos-ee-master-1" # # ## The ID of the service account. # service_account_id = "telegraf" # ## The private key file for the service account. # service_account_private_key = "/etc/telegraf/telegraf-sa-key.pem" # # ## Path containing login token. If set, will read on every gather. # # token_file = "/home/dcos/.dcos/token" # # ## In all filter options if both include and exclude are empty all items # ## will be collected. Arrays may contain glob patterns. # ## # ## Node IDs to collect metrics from. If a node is excluded, no metrics will # ## be collected for its containers or apps. # # node_include = [] # # node_exclude = [] # ## Container IDs to collect container metrics from. # # container_include = [] # # container_exclude = [] # ## Container IDs to collect app metrics from. # # app_include = [] # # app_exclude = [] # # ## Maximum concurrent connections to the cluster. # # max_connections = 10 # ## Maximum time to receive a response from cluster. # # response_timeout = "20s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## If false, skip chain & host verification # # insecure_skip_verify = true # # ## Recommended filtering to reduce series cardinality. # # [inputs.dcos.tagdrop] # # path = ["/var/lib/mesos/slave/slaves/*"] # # Read metrics from one or many disque servers # [[inputs.disque]] # ## An array of URI to gather stats about. Specify an ip or hostname # ## with optional port and password. # ## ie disque://localhost, disque://10.10.3.33:18832, 10.0.0.1:10000, etc. # ## If no servers are specified, then localhost is used as the host. # servers = ["localhost"] # # Provide a native collection for dmsetup based statistics for dm-cache # [[inputs.dmcache]] # ## Whether to report per-device stats or not # per_device = true # # Query given DNS server and gives statistics # [[inputs.dns_query]] # ## servers to query # servers = ["8.8.8.8"] # # ## Network is the network protocol name. # # network = "udp" # # ## Domains or subdomains to query. # # domains = ["."] # # ## Query record type. # ## Possible values: A, AAAA, CNAME, MX, NS, PTR, TXT, SOA, SPF, SRV. # # record_type = "A" # # ## Dns server port. # # port = 53 # # ## Query timeout in seconds. # # timeout = 2 # # Read metrics about docker containers # [[inputs.docker]] # ## Docker Endpoint # ## To use TCP, set endpoint = "tcp://[ip]:[port]" # ## To use environment variables (ie, docker-machine), set endpoint = "ENV" # endpoint = "unix:///var/run/docker.sock" # # ## Set to true to collect Swarm metrics(desired_replicas, running_replicas) # gather_services = false # # ## Set the source tag for the metrics to the container ID hostname, eg first 12 chars # source_tag = false # # ## Containers to include and exclude. Globs accepted. # ## Note that an empty array for both will include all containers # container_name_include = [] # container_name_exclude = [] # # ## Container states to include and exclude. Globs accepted. # ## When empty only containers in the "running" state will be captured. # ## example: container_state_include = ["created", "restarting", "running", "removing", "paused", "exited", "dead"] # ## example: container_state_exclude = ["created", "restarting", "running", "removing", "paused", "exited", "dead"] # # container_state_include = [] # # container_state_exclude = [] # # ## Timeout for docker list, info, and stats commands # timeout = "5s" # # ## 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"] # # ## Specifies for which classes a total metric should be issued. Total is an aggregated of the 'perdevice' values. # ## Possible values are 'cpu', 'blkio' and 'network' # ## Total 'cpu' is reported directly by Docker daemon, and 'network' and 'blkio' totals are aggregated by this plugin. # ## Please note that this setting has no effect if 'total' is set to 'false' # # total_include = ["cpu", "blkio", "network"] # # ## Which environment variables should we use as a tag # ##tag_env = ["JAVA_HOME", "HEAP_SIZE"] # # ## docker labels to include and exclude as tags. Globs accepted. # ## Note that an empty array for both will include all labels as tags # docker_label_include = [] # docker_label_exclude = [] # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read statistics from one or many dovecot servers # [[inputs.dovecot]] # ## specify dovecot servers via an address:port list # ## e.g. # ## localhost:24242 # ## # ## If no servers are specified, then localhost is used as the host. # servers = ["localhost:24242"] # # ## Type is one of "user", "domain", "ip", or "global" # type = "global" # # ## Wildcard matches like "*.com". An empty string "" is same as "*" # ## If type = "ip" filters should be # filters = [""] # # 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" # # Read metrics about docker containers from Fargate/ECS v2, v3 meta endpoints. # [[inputs.ecs]] # ## ECS metadata url. # ## Metadata v2 API is used if set explicitly. Otherwise, # ## v3 metadata endpoint API is used if available. # # endpoint_url = "" # # ## Containers to include and exclude. Globs accepted. # ## Note that an empty array for both will include all containers # # container_name_include = [] # # container_name_exclude = [] # # ## Container states to include and exclude. Globs accepted. # ## When empty only containers in the "RUNNING" state will be captured. # ## Possible values are "NONE", "PULLED", "CREATED", "RUNNING", # ## "RESOURCES_PROVISIONED", "STOPPED". # # container_status_include = [] # # container_status_exclude = [] # # ## ecs labels to include and exclude as tags. Globs accepted. # ## Note that an empty array for both will include all labels as tags # ecs_label_include = [ "com.amazonaws.ecs.*" ] # ecs_label_exclude = [] # # ## Timeout for queries. # # timeout = "5s" # # Read stats from one or more Elasticsearch servers or clusters # [[inputs.elasticsearch]] # ## specify a list of one or more Elasticsearch servers # # you can add username and password to your url to use basic authentication: # # servers = ["http://user:pass@localhost:9200"] # servers = ["http://localhost:9200"] # # ## Timeout for HTTP requests to the elastic search server(s) # http_timeout = "5s" # # ## When local is true (the default), the node will read only its own stats. # ## Set local to false when you want to read the node stats from all nodes # ## of the cluster. # local = true # # ## Set cluster_health to true when you want to also obtain cluster health stats # cluster_health = false # # ## Adjust cluster_health_level when you want to also obtain detailed health stats # ## The options are # ## - indices (default) # ## - cluster # # cluster_health_level = "indices" # # ## Set cluster_stats to true when you want to also obtain cluster stats. # cluster_stats = false # # ## Only gather cluster_stats from the master node. To work this require local = true # cluster_stats_only_from_master = true # # ## Indices to collect; can be one or more indices names or _all # ## Use of wildcards is allowed. Use a wildcard at the end to retrieve index names that end with a changing value, like a date. # indices_include = ["_all"] # # ## One of "shards", "cluster", "indices" # indices_level = "shards" # # ## node_stats is a list of sub-stats that you want to have gathered. Valid options # ## are "indices", "os", "process", "jvm", "thread_pool", "fs", "transport", "http", # ## "breaker". Per default, all stats are gathered. # # node_stats = ["jvm", "http"] # # ## HTTP Basic Authentication username and password. # # username = "" # # password = "" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Sets the number of most recent indices to return for indices that are configured with a date-stamped suffix. # ## Each 'indices_include' entry ending with a wildcard (*) or glob matching pattern will group together all indices that match it, and sort them # ## by the date or number after the wildcard. Metrics then are gathered for only the 'num_most_recent_indices' amount of most recent indices. # # num_most_recent_indices = 0 # # Derive metrics from aggregating Elasticsearch query results # [[inputs.elasticsearch_query]] # ## The full HTTP endpoint URL for your Elasticsearch instance # ## Multiple urls can be specified as part of the same cluster, # ## this means that only ONE of the urls will be written to each interval. # urls = [ "http://node1.es.example.com:9200" ] # required. # # ## Elasticsearch client timeout, defaults to "5s". # # timeout = "5s" # # ## Set to true to ask Elasticsearch a list of all cluster nodes, # ## thus it is not necessary to list all nodes in the urls config option # # enable_sniffer = false # # ## Set the interval to check if the Elasticsearch nodes are available # ## This option is only used if enable_sniffer is also set (0s to disable it) # # health_check_interval = "10s" # # ## HTTP basic authentication details (eg. when using x-pack) # # username = "telegraf" # # password = "mypassword" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # [[inputs.elasticsearch_query.aggregation]] # ## measurement name for the results of the aggregation query # measurement_name = "measurement" # # ## Elasticsearch indexes to query (accept wildcards). # index = "index-*" # # ## The date/time field in the Elasticsearch index (mandatory). # date_field = "@timestamp" # # ## If the field used for the date/time field in Elasticsearch is also using # ## a custom date/time format it may be required to provide the format to # ## correctly parse the field. # ## # ## If using one of the built in elasticsearch formats this is not required. # # date_field_custom_format = "" # # ## Time window to query (eg. "1m" to query documents from last minute). # ## Normally should be set to same as collection interval # query_period = "1m" # # ## Lucene query to filter results # # filter_query = "*" # # ## Fields to aggregate values (must be numeric fields) # # metric_fields = ["metric"] # # ## Aggregation function to use on the metric fields # ## Must be set if 'metric_fields' is set # ## Valid values are: avg, sum, min, max, sum # # metric_function = "avg" # # ## Fields to be used as tags # ## Must be text, non-analyzed fields. Metric aggregations are performed per tag # # tags = ["field.keyword", "field2.keyword"] # # ## Set to true to not ignore documents when the tag(s) above are missing # # include_missing_tag = false # # ## String value of the tag when the tag does not exist # ## Used when include_missing_tag is true # # missing_tag_value = "null" # # Returns ethtool statistics for given interfaces # [[inputs.ethtool]] # ## List of interfaces to pull metrics for # # interface_include = ["eth0"] # # ## List of interfaces to ignore when pulling metrics. # # interface_exclude = ["eth1"] # # ## Some drivers declare statistics with extra whitespace, different spacing, # ## and mix cases. This list, when enabled, can be used to clean the keys. # ## Here are the current possible normalizations: # ## * snakecase: converts fooBarBaz to foo_bar_baz # ## * trim: removes leading and trailing whitespace # ## * lower: changes all capitalized letters to lowercase # ## * underscore: replaces spaces with underscores # # normalize_keys = ["snakecase", "trim", "lower", "underscore"] # # Read metrics from one or more commands that can output to stdout # [[inputs.exec]] # ## Commands array # commands = [ # "/tmp/test.sh", # "/usr/bin/mycollector --foo=bar", # "/tmp/collect_*.sh" # ] # # ## Timeout for each command to complete. # timeout = "5s" # # ## measurement name suffix (for separating different commands) # name_suffix = "_mycollector" # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # Read metrics from fail2ban. # [[inputs.fail2ban]] # ## Use sudo to run fail2ban-client # use_sudo = false # # Read devices value(s) from a Fibaro controller # [[inputs.fibaro]] # ## Required Fibaro controller address/hostname. # ## Note: at the time of writing this plugin, Fibaro only implemented http - no https available # url = "http://:80" # # ## Required credentials to access the API (http://) # username = "" # password = "" # # ## Amount of time allowed to complete the HTTP request # # timeout = "5s" # # Parse a complete file each interval # [[inputs.file]] # ## Files to parse each interval. Accept standard unix glob matching rules, # ## as well as ** to match recursive files and directories. # files = ["/tmp/metrics.out"] # # # ## Name a tag containing the name of the file the data was parsed from. Leave empty # ## to disable. Cautious when file name variation is high, this can increase the cardinality # ## significantly. Read more about cardinality here: # ## https://docs.influxdata.com/influxdb/cloud/reference/glossary/#series-cardinality # # file_tag = "" # # # # ## Character encoding to use when interpreting the file contents. Invalid # ## characters are replaced using the unicode replacement character. When set # ## to the empty string the data is not decoded to text. # ## ex: character_encoding = "utf-8" # ## character_encoding = "utf-16le" # ## character_encoding = "utf-16be" # ## character_encoding = "" # # character_encoding = "" # # ## The dataformat to be read from files # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # Count files in a directory # [[inputs.filecount]] # ## Directories to gather stats about. # ## This accept standard unit glob matching rules, but with the addition of # ## ** as a "super asterisk". ie: # ## /var/log/** -> recursively find all directories in /var/log and count files in each directories # ## /var/log/*/* -> find all directories with a parent dir in /var/log and count files in each directories # ## /var/log -> count all files in /var/log and all of its subdirectories # directories = ["/var/cache/apt/archives"] # # ## Only count files that match the name pattern. Defaults to "*". # name = "*.deb" # # ## Count files in subdirectories. Defaults to true. # recursive = false # # ## Only count regular files. Defaults to true. # regular_only = true # # ## Follow all symlinks while walking the directory tree. Defaults to false. # follow_symlinks = false # # ## Only count files that are at least this size. If size is # ## a negative number, only count files that are smaller than the # ## absolute value of size. Acceptable units are B, KiB, MiB, KB, ... # ## Without quotes and units, interpreted as size in bytes. # size = "0B" # # ## Only count files that have not been touched for at least this # ## duration. If mtime is negative, only count files that have been # ## touched in this duration. Defaults to "0s". # mtime = "0s" # # Read stats about given file(s) # [[inputs.filestat]] # ## Files to gather stats about. # ## These accept standard unix glob matching rules, but with the addition of # ## ** as a "super asterisk". ie: # ## "/var/log/**.log" -> recursively find all .log files in /var/log # ## "/var/log/*/*.log" -> find all .log files with a parent dir in /var/log # ## "/var/log/apache.log" -> just tail the apache log file # ## # ## See https://github.com/gobwas/glob for more examples # ## # files = ["/var/log/**.log"] # # ## If true, read the entire file and calculate an md5 checksum. # md5 = false # # Read real time temps from fireboard.io servers # [[inputs.fireboard]] # ## Specify auth token for your account # auth_token = "invalidAuthToken" # ## You can override the fireboard server URL if necessary # # url = https://fireboard.io/api/v1/devices.json # ## You can set a different http_timeout if you need to # ## You should set a string using an number and time indicator # ## for example "12s" for 12 seconds. # # http_timeout = "4s" # # Read metrics exposed by fluentd in_monitor plugin # [[inputs.fluentd]] # ## This plugin reads information exposed by fluentd (using /api/plugins.json endpoint). # ## # ## Endpoint: # ## - only one URI is allowed # ## - https is not supported # endpoint = "http://localhost:24220/api/plugins.json" # # ## Define which plugins have to be excluded (based on "type" field - e.g. monitor_agent) # exclude = [ # "monitor_agent", # "dummy", # ] # # Gather repository information from GitHub hosted repositories. # [[inputs.github]] # ## List of repositories to monitor. # repositories = [ # "influxdata/telegraf", # "influxdata/influxdb" # ] # # ## Github API access token. Unauthenticated requests are limited to 60 per hour. # # access_token = "" # # ## Github API enterprise url. Github Enterprise accounts must specify their base url. # # enterprise_base_url = "" # # ## Timeout for HTTP requests. # # http_timeout = "5s" # # ## List of additional fields to query. # ## NOTE: Getting those fields might involve issuing additional API-calls, so please # ## make sure you do not exceed the rate-limit of GitHub. # ## # ## Available fields are: # ## - pull-requests -- number of open and closed pull requests (2 API-calls per repository) # # additional_fields = [] # # Read flattened metrics from one or more GrayLog HTTP endpoints # [[inputs.graylog]] # ## API endpoint, currently supported API: # ## # ## - multiple (e.g. http://:9000/api/system/metrics/multiple) # ## - namespace (e.g. http://: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 # # Read metrics of haproxy, via socket or csv stats page # [[inputs.haproxy]] # ## An array of address to gather stats about. Specify an ip on hostname # ## with optional port. ie localhost, 10.10.3.33:1936, etc. # ## Make sure you specify the complete path to the stats endpoint # ## including the protocol, ie http://10.10.3.33:1936/haproxy?stats # # ## If no servers are specified, then default to 127.0.0.1:1936/haproxy?stats # servers = ["http://myhaproxy.com:1936/haproxy?stats"] # # ## Credentials for basic HTTP authentication # # username = "admin" # # password = "admin" # # ## You can also use local socket with standard wildcard globbing. # ## Server address not starting with 'http' will be treated as a possible # ## socket, so both examples below are valid. # # servers = ["socket:/run/haproxy/admin.sock", "/run/haproxy/*.sock"] # # ## By default, some of the fields are renamed from what haproxy calls them. # ## Setting this option to true results in the plugin keeping the original # ## field names. # # keep_field_names = false # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Monitor disks' temperatures using hddtemp # [[inputs.hddtemp]] # ## By default, telegraf gathers temps data from all disks detected by the # ## hddtemp. # ## # ## Only collect temps from the selected disks. # ## # ## A * as the device name will return the temperature values of all disks. # ## # # address = "127.0.0.1:7634" # # devices = ["sda", "*"] # # Read formatted metrics from one or more HTTP endpoints # [[inputs.http]] # ## One or more URLs from which to read formatted metrics # urls = [ # "http://localhost/metrics" # ] # # ## HTTP method # # method = "GET" # # ## Optional HTTP headers # # headers = {"X-Special-Header" = "Special-Value"} # # ## Optional file with Bearer token # ## file content is added as an Authorization header # # bearer_token = "/path/to/file" # # ## Optional HTTP Basic Auth Credentials # # username = "username" # # password = "pa$$word" # # ## HTTP entity-body to send with POST/PUT requests. # # body = "" # # ## HTTP Content-Encoding for write request body, can be set to "gzip" to # ## compress body or "identity" to apply no encoding. # # content_encoding = "identity" # # ## HTTP Proxy support # # http_proxy_url = "" # # ## OAuth2 Client Credentials Grant # # client_id = "clientid" # # client_secret = "secret" # # token_url = "https://indentityprovider/oauth2/v1/token" # # scopes = ["urn:opc:idm:__myscopes__"] # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Optional Cookie authentication # # cookie_auth_url = "https://localhost/authMe" # # cookie_auth_method = "POST" # # cookie_auth_username = "username" # # cookie_auth_password = "pa$$word" # # cookie_auth_headers = '{"Content-Type": "application/json", "X-MY-HEADER":"hello"}' # # cookie_auth_body = '{"username": "user", "password": "pa$$word", "authenticate": "me"}' # ## cookie_auth_renewal not set or set to "0" will auth once and never renew the cookie # # cookie_auth_renewal = "5m" # # ## Amount of time allowed to complete the HTTP request # # timeout = "5s" # # ## List of success status codes # # success_status_codes = [200] # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # # data_format = "influx" # # HTTP/HTTPS request given an address a method and a timeout # [[inputs.http_response]] # ## List of urls to query. # # urls = ["http://localhost"] # # ## Set http_proxy (telegraf uses the system wide proxy settings if it's is not set) # # http_proxy = "http://localhost:8888" # # ## Set response_timeout (default 5 seconds) # # response_timeout = "5s" # # ## HTTP Request Method # # method = "GET" # # ## Whether to follow redirects from the server (defaults to false) # # follow_redirects = false # # ## Optional file with Bearer token # ## file content is added as an Authorization header # # bearer_token = "/path/to/file" # # ## Optional HTTP Basic Auth Credentials # # username = "username" # # password = "pa$$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 # # ## HTTP Request Headers (all values must be strings) # # [inputs.http_response.headers] # # Host = "github.com" # # ## Optional setting to map response http headers into tags # ## If the http header is not present on the request, no corresponding tag will be added # ## If multiple instances of the http header are present, only the first value will be used # # http_header_tags = {"HTTP_HEADER" = "TAG_NAME"} # # ## Interface to use when dialing an address # # interface = "eth0" # # Read flattened metrics from one or more JSON HTTP endpoints # [[inputs.httpjson]] # ## DEPRECATED: The 'httpjson' plugin is deprecated in version 1.6.0, use 'inputs.http' instead. # ## NOTE This plugin only reads numerical measurements, strings and booleans # ## will be ignored. # # ## URL of each server in the service's cluster # servers = [ # "http://localhost:9999/stats/", # "http://localhost:9998/stats/", # ] # ## Set response_timeout (default 5 seconds) # response_timeout = "5s" # # ## HTTP method to use: GET or POST (case-sensitive) # method = "GET" # # ## List of tag names to extract from top-level of JSON server response # # tag_keys = [ # # "my_tag_1", # # "my_tag_2" # # ] # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## HTTP parameters (all values must be strings). For "GET" requests, data # ## will be included in the query. For "POST" requests, data will be included # ## in the request body as "x-www-form-urlencoded". # # [inputs.httpjson.parameters] # # event_type = "cpu_spike" # # threshold = "0.75" # # ## HTTP Headers (all values must be strings) # # [inputs.httpjson.headers] # # X-Auth-Token = "my-xauth-token" # # apiVersion = "v1" # # 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"] # # Gather Icinga2 status # [[inputs.icinga2]] # ## Required Icinga2 server address # # server = "https://localhost:5665" # # ## Required Icinga2 object type ("services" or "hosts") # # object_type = "services" # # ## Credentials for basic HTTP authentication # # username = "admin" # # password = "admin" # # ## Maximum time to receive response. # # response_timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = true # # Gets counters from all InfiniBand cards and ports installed # [[inputs.infiniband]] # # no configuration # # Read InfluxDB-formatted JSON metrics from one or more HTTP endpoints # [[inputs.influxdb]] # ## Works with InfluxDB debug endpoints out of the box, # ## but other services can use this format too. # ## See the influxdb plugin's README for more details. # # ## Multiple URLs from which to read InfluxDB-formatted JSON # ## Default is "http://localhost:8086/debug/vars". # urls = [ # "http://localhost:8086/debug/vars" # ] # # ## Username and password to send using HTTP Basic Authentication. # # username = "" # # password = "" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## http request & header timeout # timeout = "5s" # # Intel PowerStat plugin enables monitoring of platform metrics (power, TDP) and Core 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 = [] # # Collect statistics about itself # [[inputs.internal]] # ## If true, collect telegraf memory stats. # # collect_memstats = true # # Monitors internet speed using speedtest.net service # [[inputs.internet_speed]] # ## Sets if runs file download test # # enable_file_download = false # # ## Caches the closest server location # # cache = false # # This plugin gathers interrupts data from /proc/interrupts and /proc/softirqs. # [[inputs.interrupts]] # ## When set to true, cpu metrics are tagged with the cpu. Otherwise cpu is # ## stored as a field. # ## # ## The default is false for backwards compatibility, and will be changed to # ## true in a future version. It is recommended to set to true on new # ## deployments. # # cpu_as_tag = false # # ## To filter which IRQs to collect, make use of tagpass / tagdrop, i.e. # # [inputs.interrupts.tagdrop] # # irq = [ "NET_RX", "TASKLET" ] # # Read metrics from the bare metal servers via IPMI # [[inputs.ipmi_sensor]] # ## optionally specify the path to the ipmitool executable # # path = "/usr/bin/ipmitool" # ## # ## Setting 'use_sudo' to true will make use of sudo to run ipmitool. # ## Sudo must be configured to allow the telegraf user to run ipmitool # ## without a password. # # use_sudo = false # ## # ## optionally force session privilege level. Can be CALLBACK, USER, OPERATOR, ADMINISTRATOR # # privilege = "ADMINISTRATOR" # ## # ## optionally specify one or more servers via a url matching # ## [username[:password]@][protocol[(address)]] # ## e.g. # ## root:passwd@lan(127.0.0.1) # ## # ## if no servers are specified, local machine sensor stats will be queried # ## # # servers = ["USERID:PASSW0RD@lan(192.168.1.1)"] # # ## Recommended: use metric 'interval' that is a multiple of 'timeout' to avoid # ## gaps or overlap in pulled data # interval = "30s" # # ## Timeout for the ipmitool command to complete # timeout = "20s" # # ## Schema Version: (Optional, defaults to version 1) # metric_version = 2 # # ## Optionally provide the hex key for the IMPI connection. # # hex_key = "" # # ## If ipmitool should use a cache # ## for me ipmitool runs about 2 to 10 times faster with cache enabled on HP G10 servers (when using ubuntu20.04) # ## the cache file may not work well for you if some sensors come up late # # use_cache = false # # ## Path to the ipmitools cache file (defaults to OS temp dir) # ## The provided path must exist and must be writable # # cache_path = "" # # Gather packets and bytes counters from Linux ipsets # [[inputs.ipset]] # ## By default, we only show sets which have already matched at least 1 packet. # ## set include_unmatched_sets = true to gather them all. # include_unmatched_sets = false # ## Adjust your sudo settings appropriately if using this option ("sudo ipset save") # use_sudo = false # ## The default timeout of 1s for ipset execution can be overridden here: # # timeout = "1s" # # Gather packets and bytes throughput from iptables # [[inputs.iptables]] # ## iptables require root access on most systems. # ## Setting 'use_sudo' to true will make use of sudo to run iptables. # ## Users must configure sudo to allow telegraf user to run iptables with no password. # ## iptables can be restricted to only list command "iptables -nvL". # use_sudo = false # ## Setting 'use_lock' to true runs iptables with the "-w" option. # ## Adjust your sudo settings appropriately if using this option ("iptables -w 5 -nvl") # use_lock = false # ## Define an alternate executable, such as "ip6tables". Default is "iptables". # # binary = "ip6tables" # ## defines the table to monitor: # table = "filter" # ## defines the chains to monitor. # ## NOTE: iptables rules without a comment will not be monitored. # ## Read the plugin documentation for more information. # chains = [ "INPUT" ] # # Collect virtual and real server stats from Linux IPVS # [[inputs.ipvs]] # # no configuration # # Read jobs and cluster metrics from Jenkins instances # [[inputs.jenkins]] # ## The Jenkins URL in the format "schema://host:port" # url = "http://my-jenkins-instance:8080" # # username = "admin" # # password = "admin" # # ## Set response_timeout # response_timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use SSL but skip chain & host verification # # insecure_skip_verify = false # # ## Optional Max Job Build Age filter # ## Default 1 hour, ignore builds older than max_build_age # # max_build_age = "1h" # # ## Optional Sub Job Depth filter # ## Jenkins can have unlimited layer of sub jobs # ## This config will limit the layers of pulling, default value 0 means # ## unlimited pulling until no more sub jobs # # max_subjob_depth = 0 # # ## Optional Sub Job Per Layer # ## In workflow-multibranch-plugin, each branch will be created as a sub job. # ## This config will limit to call only the lasted branches in each layer, # ## empty will use default value 10 # # max_subjob_per_layer = 10 # # ## Jobs to include or exclude from gathering # ## When using both lists, job_exclude has priority. # ## Wildcards are supported: [ "jobA/*", "jobB/subjob1/*"] # # job_include = [ "*" ] # # job_exclude = [ ] # # ## Nodes to include or exclude from gathering # ## When using both lists, node_exclude has priority. # # node_include = [ "*" ] # # node_exclude = [ ] # # ## Worker pool for jenkins plugin only # ## Empty this field will use default value 5 # # max_connections = 5 # # Read JMX metrics through Jolokia # [[inputs.jolokia]] # ## DEPRECATED: The 'jolokia' plugin is deprecated in version 1.5.0, use 'inputs.jolokia2' instead. # # DEPRECATED: the jolokia plugin has been deprecated in favor of the # # jolokia2 plugin # # see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/jolokia2 # # ## This is the context root used to compose the jolokia url # ## NOTE that Jolokia requires a trailing slash at the end of the context root # ## NOTE that your jolokia security policy must allow for POST requests. # context = "/jolokia/" # # ## This specifies the mode used # # mode = "proxy" # # # ## When in proxy mode this section is used to specify further # ## proxy address configurations. # ## Remember to change host address to fit your environment. # # [inputs.jolokia.proxy] # # host = "127.0.0.1" # # port = "8080" # # ## Optional http timeouts # ## # ## response_header_timeout, if non-zero, specifies the amount of time to wait # ## for a server's response headers after fully writing the request. # # response_header_timeout = "3s" # ## # ## client_timeout specifies a time limit for requests made by this client. # ## Includes connection time, any redirects, and reading the response body. # # client_timeout = "4s" # # ## Attribute delimiter # ## # ## When multiple attributes are returned for a single # ## [inputs.jolokia.metrics], the field name is a concatenation of the metric # ## name, and the attribute name, separated by the given delimiter. # # delimiter = "_" # # ## List of servers exposing jolokia read service # [[inputs.jolokia.servers]] # name = "as-server-01" # host = "127.0.0.1" # port = "8080" # # username = "myuser" # # password = "mypassword" # # ## List of metrics collected on above servers # ## Each metric consists in a name, a jmx path and either # ## a pass or drop slice attribute. # ## This collect all heap memory usage metrics. # [[inputs.jolokia.metrics]] # name = "heap_memory_usage" # mbean = "java.lang:type=Memory" # attribute = "HeapMemoryUsage" # # ## This collect thread counts metrics. # [[inputs.jolokia.metrics]] # name = "thread_count" # mbean = "java.lang:type=Threading" # attribute = "TotalStartedThreadCount,ThreadCount,DaemonThreadCount,PeakThreadCount" # # ## This collect number of class loaded/unloaded counts metrics. # [[inputs.jolokia.metrics]] # name = "class_count" # mbean = "java.lang:type=ClassLoading" # attribute = "LoadedClassCount,UnloadedClassCount,TotalLoadedClassCount" # # Read JMX metrics from a Jolokia REST agent endpoint # [[inputs.jolokia2_agent]] # # default_tag_prefix = "" # # default_field_prefix = "" # # default_field_separator = "." # # # Add agents URLs to query # urls = ["http://localhost:8080/jolokia"] # # username = "" # # password = "" # # response_timeout = "5s" # # ## Optional TLS config # # tls_ca = "/var/private/ca.pem" # # tls_cert = "/var/private/client.pem" # # tls_key = "/var/private/client-key.pem" # # insecure_skip_verify = false # # ## Add metrics to read # [[inputs.jolokia2_agent.metric]] # name = "java_runtime" # mbean = "java.lang:type=Runtime" # paths = ["Uptime"] # # Read JMX metrics from a Jolokia REST proxy endpoint # [[inputs.jolokia2_proxy]] # # default_tag_prefix = "" # # default_field_prefix = "" # # default_field_separator = "." # # ## Proxy agent # url = "http://localhost:8080/jolokia" # # username = "" # # password = "" # # response_timeout = "5s" # # ## Optional TLS config # # tls_ca = "/var/private/ca.pem" # # tls_cert = "/var/private/client.pem" # # tls_key = "/var/private/client-key.pem" # # insecure_skip_verify = false # # ## Add proxy targets to query # # default_target_username = "" # # default_target_password = "" # [[inputs.jolokia2_proxy.target]] # url = "service:jmx:rmi:///jndi/rmi://targethost:9999/jmxrmi" # # username = "" # # password = "" # # ## Add metrics to read # [[inputs.jolokia2_proxy.metric]] # name = "java_runtime" # mbean = "java.lang:type=Runtime" # paths = ["Uptime"] # # Read Kapacitor-formatted JSON metrics from one or more HTTP endpoints # [[inputs.kapacitor]] # ## Multiple URLs from which to read Kapacitor-formatted JSON # ## Default is "http://localhost:9092/kapacitor/v1/debug/vars". # urls = [ # "http://localhost:9092/kapacitor/v1/debug/vars" # ] # # ## Time limit for http requests # timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Get kernel statistics from /proc/vmstat # [[inputs.kernel_vmstat]] # # no configuration # # Read status information from one or more Kibana servers # [[inputs.kibana]] # ## Specify a list of one or more Kibana servers # servers = ["http://localhost:5601"] # # ## Timeout for HTTP requests # timeout = "5s" # # ## HTTP Basic Auth credentials # # username = "username" # # password = "pa$$word" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read metrics from the Kubernetes api # [[inputs.kube_inventory]] # ## URL for the Kubernetes API # url = "https://127.0.0.1" # # ## Namespace to use. Set to "" to use all namespaces. # # namespace = "default" # # ## Use bearer token for authorization. ('bearer_token' takes priority) # ## If both of these are empty, we'll use the default serviceaccount: # ## at: /run/secrets/kubernetes.io/serviceaccount/token # # bearer_token = "/path/to/bearer/token" # ## OR # # bearer_token_string = "abc_123" # # ## Set response_timeout (default 5 seconds) # # response_timeout = "5s" # # ## Optional Resources to exclude from gathering # ## Leave them with blank with try to gather everything available. # ## Values can be - "daemonsets", deployments", "endpoints", "ingress", "nodes", # ## "persistentvolumes", "persistentvolumeclaims", "pods", "services", "statefulsets" # # resource_exclude = [ "deployments", "nodes", "statefulsets" ] # # ## Optional Resources to include when gathering # ## Overrides resource_exclude if both set. # # resource_include = [ "deployments", "nodes", "statefulsets" ] # # ## selectors to include and exclude as tags. Globs accepted. # ## Note that an empty array for both will include all selectors as tags # ## selector_exclude overrides selector_include if both set. # # selector_include = [] # # selector_exclude = ["*"] # # ## Optional TLS Config # # tls_ca = "/path/to/cafile" # # tls_cert = "/path/to/certfile" # # tls_key = "/path/to/keyfile" # # tls_server_name = "kubernetes.example.com" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read metrics from the kubernetes kubelet api # [[inputs.kubernetes]] # ## URL for the kubelet # url = "http://127.0.0.1:10255" # # ## Use bearer token for authorization. ('bearer_token' takes priority) # ## If both of these are empty, we'll use the default serviceaccount: # ## at: /run/secrets/kubernetes.io/serviceaccount/token # # bearer_token = "/path/to/bearer/token" # ## OR # # bearer_token_string = "abc_123" # # ## Pod labels to be added as tags. An empty array for both include and # ## exclude will include all labels. # # label_include = [] # # label_exclude = ["*"] # # ## Set response_timeout (default 5 seconds) # # response_timeout = "5s" # # ## Optional TLS Config # # tls_ca = /path/to/cafile # # tls_cert = /path/to/certfile # # tls_key = /path/to/keyfile # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read metrics from a LeoFS Server via SNMP # [[inputs.leofs]] # ## An array of URLs of the form: # ## host [ ":" port] # servers = ["127.0.0.1:4020"] # # Provides Linux sysctl fs metrics # [[inputs.linux_sysctl_fs]] # # no configuration # # Read metrics exposed by Logstash # [[inputs.logstash]] # ## The URL of the exposed Logstash API endpoint. # url = "http://127.0.0.1:9600" # # ## Use Logstash 5 single pipeline API, set to true when monitoring # ## Logstash 5. # # single_pipeline = false # # ## Enable optional collection components. Can contain # ## "pipelines", "process", and "jvm". # # collect = ["pipelines", "process", "jvm"] # # ## Timeout for HTTP requests. # # timeout = "5s" # # ## Optional HTTP Basic Auth credentials. # # username = "username" # # password = "pa$$word" # # ## Optional TLS Config. # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # # ## Use TLS but skip chain & host verification. # # insecure_skip_verify = false # # ## Optional HTTP headers. # # [inputs.logstash.headers] # # "X-Special-Header" = "Special-Value" # # Read metrics from local Lustre service on OST, MDS # [[inputs.lustre2]] # ## An array of /proc globs to search for Lustre stats # ## If not specified, the default will work on Lustre 2.5.x # ## # # ost_procfiles = [ # # "/proc/fs/lustre/obdfilter/*/stats", # # "/proc/fs/lustre/osd-ldiskfs/*/stats", # # "/proc/fs/lustre/obdfilter/*/job_stats", # # ] # # mds_procfiles = [ # # "/proc/fs/lustre/mdt/*/md_stats", # # "/proc/fs/lustre/mdt/*/job_stats", # # ] # # Read metrics about LVM physical volumes, volume groups, logical volumes. # [[inputs.lvm]] # ## Use sudo to run LVM commands # use_sudo = false # # Gathers metrics from the /3.0/reports MailChimp API # [[inputs.mailchimp]] # ## MailChimp API key # ## get from https://admin.mailchimp.com/account/api/ # api_key = "" # required # ## Reports for campaigns sent more than days_old ago will not be collected. # ## 0 means collect all. # days_old = 0 # ## Campaign ID to get, if empty gets all campaigns, this option overrides days_old # # campaign_id = "" # # Retrieves information on a specific host in a MarkLogic Cluster # [[inputs.marklogic]] # ## Base URL of the MarkLogic HTTP Server. # url = "http://localhost:8002" # # ## List of specific hostnames to retrieve information. At least (1) required. # # hosts = ["hostname1", "hostname2"] # # ## Using HTTP Basic Authentication. Management API requires 'manage-user' role privileges # # username = "myuser" # # password = "mypassword" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read metrics from one or many mcrouter servers # [[inputs.mcrouter]] # ## An array of address to gather stats about. Specify an ip or hostname # ## with port. ie tcp://localhost:11211, tcp://10.0.0.1:11211, etc. # servers = ["tcp://localhost:11211", "unix:///var/run/mcrouter.sock"] # # ## Timeout for metric collections from all servers. Minimum timeout is "1s". # # timeout = "5s" # # Get md array statistics from /proc/mdstat # [[inputs.mdstat]] # ## Sets file path # ## If not specified, then default is /proc/mdstat # # file_name = "/proc/mdstat" # # Read metrics from one or many memcached servers # [[inputs.memcached]] # ## An array of address to gather stats about. Specify an ip on hostname # ## with optional port. ie localhost, 10.0.0.1:11211, etc. # servers = ["localhost:11211"] # # unix_sockets = ["/var/run/memcached.sock"] # # ## Optional TLS Config # # enable_tls = true # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## If false, skip chain & host verification # # insecure_skip_verify = true # # Telegraf plugin for gathering metrics from N Mesos masters # [[inputs.mesos]] # ## Timeout, in ms. # timeout = 100 # # ## A list of Mesos masters. # masters = ["http://localhost:5050"] # # ## Master metrics groups to be collected, by default, all enabled. # master_collections = [ # "resources", # "master", # "system", # "agents", # "frameworks", # "framework_offers", # "tasks", # "messages", # "evqueue", # "registrar", # "allocator", # ] # # ## A list of Mesos slaves, default is [] # # slaves = [] # # ## Slave metrics groups to be collected, by default, all enabled. # # slave_collections = [ # # "resources", # # "agent", # # "system", # # "executors", # # "tasks", # # "messages", # # ] # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Collects scores from a Minecraft server's scoreboard using the RCON protocol # [[inputs.minecraft]] # ## Address of the Minecraft server. # # server = "localhost" # # ## Server RCON Port. # # port = "25575" # # ## Server RCON Password. # password = "" # # ## Uncomment to remove deprecated metric components. # # tagdrop = ["server"] # # Generate metrics for test and demonstration purposes # [[inputs.mock]] # ## Set the metric name to use for reporting # metric_name = "mock" # # ## Optional string key-value pairs of tags to add to all metrics # # [inputs.mock.tags] # # "key" = "value" # # ## One or more mock data fields *must* be defined. # ## # ## [[inputs.mock.random]] # ## name = "rand" # ## min = 1.0 # ## max = 6.0 # ## [[inputs.mock.sine_wave]] # ## name = "wave" # ## amplitude = 1.0 # ## period = 0.5 # ## [[inputs.mock.step]] # ## name = "plus_one" # ## start = 0.0 # ## step = 1.0 # ## [[inputs.mock.stock]] # ## name = "abc" # ## price = 50.00 # ## volatility = 0.2 # # Retrieve data from MODBUS slave devices # [[inputs.modbus]] # ## Connection Configuration # ## # ## The plugin supports connections to PLCs via MODBUS/TCP, RTU over TCP, ASCII over TCP or # ## via serial line communication in binary (RTU) or readable (ASCII) encoding # ## # ## Device name # name = "Device" # # ## Slave ID - addresses a MODBUS device on the bus # ## Range: 0 - 255 [0 = broadcast; 248 - 255 = reserved] # slave_id = 1 # # ## Timeout for each request # timeout = "1s" # # ## Maximum number of retries and the time to wait between retries # ## when a slave-device is busy. # # busy_retries = 0 # # busy_retries_wait = "100ms" # # # TCP - connect via Modbus/TCP # controller = "tcp://localhost:502" # # ## Serial (RS485; RS232) # # controller = "file:///dev/ttyUSB0" # # baud_rate = 9600 # # data_bits = 8 # # parity = "N" # # stop_bits = 1 # # ## Trace the connection to the modbus device as debug messages # ## Note: You have to enable telegraf's debug mode to see those messages! # # debug_connection = false # # ## For Modbus over TCP you can choose between "TCP", "RTUoverTCP" and "ASCIIoverTCP" # ## default behaviour is "TCP" if the controller is TCP # ## For Serial you can choose between "RTU" and "ASCII" # # transmission_mode = "RTU" # # ## Define the configuration schema # ## |---register -- define fields per register type in the original style (only supports one slave ID) # ## |---request -- define fields on a requests base # configuration_type = "register" # # ## Per register definition # ## # # ## Digital Variables, Discrete Inputs and Coils # ## measurement - the (optional) measurement name, defaults to "modbus" # ## name - the variable name # ## address - variable address # # discrete_inputs = [ # { name = "start", address = [0]}, # { name = "stop", address = [1]}, # { name = "reset", address = [2]}, # { name = "emergency_stop", address = [3]}, # ] # coils = [ # { name = "motor1_run", address = [0]}, # { name = "motor1_jog", address = [1]}, # { name = "motor1_stop", address = [2]}, # ] # # ## Analog Variables, Input Registers and Holding Registers # ## measurement - the (optional) measurement name, defaults to "modbus" # ## name - the variable name # ## byte_order - the ordering of bytes # ## |---AB, ABCD - Big Endian # ## |---BA, DCBA - Little Endian # ## |---BADC - Mid-Big Endian # ## |---CDAB - Mid-Little Endian # ## data_type - INT16, UINT16, INT32, UINT32, INT64, UINT64, # ## FLOAT32-IEEE, FLOAT64-IEEE (the IEEE 754 binary representation) # ## FLOAT32, FIXED, UFIXED (fixed-point representation on input) # ## scale - the final numeric variable representation # ## address - variable address # # holding_registers = [ # { name = "power_factor", byte_order = "AB", data_type = "FIXED", scale=0.01, address = [8]}, # { name = "voltage", byte_order = "AB", data_type = "FIXED", scale=0.1, address = [0]}, # { name = "energy", byte_order = "ABCD", data_type = "FIXED", scale=0.001, address = [5,6]}, # { name = "current", byte_order = "ABCD", data_type = "FIXED", scale=0.001, address = [1,2]}, # { name = "frequency", byte_order = "AB", data_type = "UFIXED", scale=0.1, address = [7]}, # { name = "power", byte_order = "ABCD", data_type = "UFIXED", scale=0.1, address = [3,4]}, # ] # input_registers = [ # { name = "tank_level", byte_order = "AB", data_type = "INT16", scale=1.0, address = [0]}, # { name = "tank_ph", byte_order = "AB", data_type = "INT16", scale=1.0, address = [1]}, # { name = "pump1_speed", byte_order = "ABCD", data_type = "INT32", scale=1.0, address = [3,4]}, # ] # # # ## Per request definition # ## # # ## Define a request sent to the device # ## Multiple of those requests can be defined. Data will be collated into metrics at the end of data collection. # # [[inputs.modbus.request]] # ## ID of the modbus slave device to query. # ## If you need to query multiple slave-devices, create several "request" definitions. # # slave_id = 0 # # ## Byte order of the data. # ## |---ABCD or MSW-BE -- Big Endian (Motorola) # ## |---DCBA or LSW-LE -- Little Endian (Intel) # ## |---BADC or MSW-LE -- Big Endian with byte swap # ## |---CDAB or LSW-BE -- Little Endian with byte swap # # byte_order = "ABCD" # # ## Type of the register for the request # ## Can be "coil", "discrete", "holding" or "input" # # register = "holding" # # ## Name of the measurement. # ## Can be overriden by the individual field definitions. Defaults to "modbus" # # measurement = "modbus" # # ## Field definitions # ## Analog Variables, Input Registers and Holding Registers # ## address - address of the register to query. For coil and discrete inputs this is the bit address. # ## name *1 - field name # ## type *1,2 - type of the modbus field, can be INT16, UINT16, INT32, UINT32, INT64, UINT64 and # ## FLOAT32, FLOAT64 (IEEE 754 binary representation) # ## scale *1,2 - (optional) factor to scale the variable with # ## output *1,2 - (optional) type of resulting field, can be INT64, UINT64 or FLOAT64. Defaults to FLOAT64 if # ## "scale" is provided and to the input "type" class otherwise (i.e. INT* -> INT64, etc). # ## measurement *1 - (optional) measurement name, defaults to the setting of the request # ## omit - (optional) omit this field. Useful to leave out single values when querying many registers # ## with a single request. Defaults to "false". # ## # ## *1: Those fields are ignored if field is omitted ("omit"=true) # ## # ## *2: Thise fields are ignored for both "coil" and "discrete"-input type of registers. For those register types # ## the fields are output as zero or one in UINT64 format by default. # # ## Coil / discrete input example # # fields = [ # # { address=0, name="motor1_run"}, # # { address=1, name="jog", measurement="motor"}, # # { address=2, name="motor1_stop", omit=true}, # # { address=3, name="motor1_overheating"}, # # ] # # ## Per-request tags # ## These tags take precedence over predefined tags. # # [[inputs.modbus.request.tags]] # # name = "value" # # ## Holding / input example # ## All of those examples will result in FLOAT64 field outputs # # fields = [ # # { address=0, name="voltage", type="INT16", scale=0.1 }, # # { address=1, name="current", type="INT32", scale=0.001 }, # # { address=3, name="power", type="UINT32", omit=true }, # # { address=5, name="energy", type="FLOAT32", scale=0.001, measurement="W" }, # # { address=7, name="frequency", type="UINT32", scale=0.1 }, # # { address=8, name="power_factor", type="INT64", scale=0.01 }, # # ] # # ## Holding / input example with type conversions # # fields = [ # # { address=0, name="rpm", type="INT16" }, # will result in INT64 field # # { address=1, name="temperature", type="INT16", scale=0.1 }, # will result in FLOAT64 field # # { address=2, name="force", type="INT32", output="FLOAT64" }, # will result in FLOAT64 field # # { address=4, name="hours", type="UINT32" }, # will result in UIN64 field # # ] # # ## Per-request tags # ## These tags take precedence over predefined tags. # # [[inputs.modbus.request.tags]] # # name = "value" # # # # ## Enable workarounds required by some devices to work correctly # # [inputs.modbus.workarounds] # ## Pause between read requests sent to the device. This might be necessary for (slow) serial devices. # # pause_between_requests = "0ms" # ## Close the connection after every gather cycle. Usually the plugin closes the connection after a certain # ## idle-timeout, however, if you query a device with limited simultaneous connectivity (e.g. serial devices) # ## from multiple instances you might want to only stay connected during gather and disconnect afterwards. # # close_connection_after_gather = false # # Read metrics from one or many MongoDB servers # [[inputs.mongodb]] # ## An array of URLs of the form: # ## "mongodb://" [user ":" pass "@"] host [ ":" port] # ## For example: # ## mongodb://user:auth_key@10.10.3.30:27017, # ## mongodb://10.10.3.33:18832, # servers = ["mongodb://127.0.0.1:27017?connect=direct"] # # ## When true, collect cluster status # ## Note that the query that counts jumbo chunks triggers a COLLSCAN, which # ## may have an impact on performance. # # gather_cluster_status = true # # ## When true, collect per database stats # # gather_perdb_stats = false # # ## When true, collect per collection stats # # gather_col_stats = false # # ## When true, collect usage statistics for each collection # ## (insert, update, queries, remove, getmore, commands etc...). # # gather_top_stat = false # # ## List of db where collections stats are collected # ## If empty, all db are concerned # # col_stats_dbs = ["local"] # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read metrics and status information about processes managed by Monit # [[inputs.monit]] # ## Monit HTTPD address # address = "http://127.0.0.1:2812" # # ## Username and Password for Monit # # username = "" # # password = "" # # ## Amount of time allowed to complete the HTTP request # # timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Aggregates the contents of multiple files into a single point # [[inputs.multifile]] # ## Base directory where telegraf will look for files. # ## Omit this option to use absolute paths. # base_dir = "/sys/bus/i2c/devices/1-0076/iio:device0" # # ## If true, Telegraf discard all data when a single file can't be read. # ## Else, Telegraf omits the field generated from this file. # # fail_early = true # # ## Files to parse each interval. # [[inputs.multifile.file]] # file = "in_pressure_input" # dest = "pressure" # conversion = "float" # [[inputs.multifile.file]] # file = "in_temp_input" # dest = "temperature" # conversion = "float(3)" # [[inputs.multifile.file]] # file = "in_humidityrelative_input" # dest = "humidityrelative" # conversion = "float(3)" # # Read metrics from one or many mysql servers # [[inputs.mysql]] # ## specify servers via a url matching: # ## [username[:password]@][protocol[(address)]]/[?tls=[true|false|skip-verify|custom]] # ## see https://github.com/go-sql-driver/mysql#dsn-data-source-name # ## e.g. # ## servers = ["user:passwd@tcp(127.0.0.1:3306)/?tls=false"] # ## servers = ["user@tcp(127.0.0.1:3306)/?tls=false"] # # # ## If no servers are specified, then localhost is used as the host. # servers = ["tcp(127.0.0.1:3306)/"] # # ## Selects the metric output format. # ## # ## This option exists to maintain backwards compatibility, if you have # ## existing metrics do not set or change this value until you are ready to # ## migrate to the new format. # ## # ## If you do not have existing metrics from this plugin set to the latest # ## version. # ## # ## Telegraf >=1.6: metric_version = 2 # ## <1.6: metric_version = 1 (or unset) # metric_version = 2 # # ## if the list is empty, then metrics are gathered from all database tables # # table_schema_databases = [] # # ## gather metrics from INFORMATION_SCHEMA.TABLES for databases provided above list # # gather_table_schema = false # # ## gather thread state counts from INFORMATION_SCHEMA.PROCESSLIST # # gather_process_list = false # # ## gather user statistics from INFORMATION_SCHEMA.USER_STATISTICS # # gather_user_statistics = false # # ## gather auto_increment columns and max values from information schema # # gather_info_schema_auto_inc = false # # ## gather metrics from INFORMATION_SCHEMA.INNODB_METRICS # # gather_innodb_metrics = false # # ## gather metrics from SHOW SLAVE STATUS command output # # gather_slave_status = false # # ## gather metrics from all channels from SHOW SLAVE STATUS command output # # gather_all_slave_channels = false # # ## use MariaDB dialect for all channels SHOW SLAVE STATUS # # mariadb_dialect = false # # ## gather metrics from SHOW BINARY LOGS command output # # gather_binary_logs = false # # ## gather metrics from PERFORMANCE_SCHEMA.GLOBAL_VARIABLES # # gather_global_variables = true # # ## gather metrics from PERFORMANCE_SCHEMA.TABLE_IO_WAITS_SUMMARY_BY_TABLE # # gather_table_io_waits = false # # ## gather metrics from PERFORMANCE_SCHEMA.TABLE_LOCK_WAITS # # gather_table_lock_waits = false # # ## gather metrics from PERFORMANCE_SCHEMA.TABLE_IO_WAITS_SUMMARY_BY_INDEX_USAGE # # gather_index_io_waits = false # # ## gather metrics from PERFORMANCE_SCHEMA.EVENT_WAITS # # gather_event_waits = false # # ## gather metrics from PERFORMANCE_SCHEMA.FILE_SUMMARY_BY_EVENT_NAME # # gather_file_events_stats = false # # ## gather metrics from PERFORMANCE_SCHEMA.EVENTS_STATEMENTS_SUMMARY_BY_DIGEST # # gather_perf_events_statements = false # # ## the limits for metrics form perf_events_statements # # perf_events_statements_digest_text_limit = 120 # # perf_events_statements_limit = 250 # # perf_events_statements_time_limit = 86400 # # ## gather metrics from PERFORMANCE_SCHEMA.EVENTS_STATEMENTS_SUMMARY_BY_ACCOUNT_BY_EVENT_NAME # # gather_perf_sum_per_acc_per_event = false # # ## list of events to be gathered for gather_perf_sum_per_acc_per_event # ## in case of empty list all events will be gathered # # perf_summary_events = [] # # ## Some queries we may want to run less often (such as SHOW GLOBAL VARIABLES) # ## example: interval_slow = "30m" # # interval_slow = "" # # ## Optional TLS Config (will be used if tls=custom parameter specified in server uri) # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Provides metrics about the state of a NATS server # [[inputs.nats]] # ## The address of the monitoring endpoint of the NATS server # server = "http://localhost:8222" # # ## Maximum time to receive response # # response_timeout = "5s" # # Neptune Apex data collector # [[inputs.neptune_apex]] # ## The Neptune Apex plugin reads the publicly available status.xml data from a local Apex. # ## Measurements will be logged under "apex". # # ## The base URL of the local Apex(es). If you specify more than one server, they will # ## be differentiated by the "source" tag. # servers = [ # "http://apex.local", # ] # # ## The response_timeout specifies how long to wait for a reply from the Apex. # #response_timeout = "5s" # # Read metrics about network interface usage # [[inputs.net]] # ## By default, telegraf gathers stats from any up interface (excluding loopback) # ## Setting interfaces will tell it to gather these explicit interfaces, # ## regardless of status. # ## # # interfaces = ["eth0"] # ## # ## On linux systems telegraf also collects protocol stats. # ## Setting ignore_protocol_stats to true will skip reporting of protocol metrics. # ## # # ignore_protocol_stats = false # ## # # Collect response time of a TCP or UDP connection # [[inputs.net_response]] # ## Protocol, must be "tcp" or "udp" # ## NOTE: because the "udp" protocol does not respond to requests, it requires # ## a send/expect string pair (see below). # protocol = "tcp" # ## Server address (default localhost) # address = "localhost:80" # # ## Set timeout # # timeout = "1s" # # ## Set read timeout (only used if expecting a response) # # read_timeout = "1s" # # ## The following options are required for UDP checks. For TCP, they are # ## optional. The plugin will send the given string to the server and then # ## expect to receive the given 'expect' string back. # ## string sent to the server # # send = "ssh" # ## expected string in answer # # expect = "ssh" # # ## Uncomment to remove deprecated fields # # fielddrop = ["result_type", "string_found"] # # Read TCP metrics such as established, time wait and sockets counts. # [[inputs.netstat]] # # no configuration # # Read per-mount NFS client metrics from /proc/self/mountstats # [[inputs.nfsclient]] # ## Read more low-level metrics (optional, defaults to false) # # fullstat = false # # ## List of mounts to explictly include or exclude (optional) # ## The pattern (Go regexp) is matched against the mount point (not the # ## device being mounted). If include_mounts is set, all mounts are ignored # ## unless present in the list. If a mount is listed in both include_mounts # ## and exclude_mounts, it is excluded. Go regexp patterns can be used. # # include_mounts = [] # # exclude_mounts = [] # # ## List of operations to include or exclude from collecting. This applies # ## only when fullstat=true. Symantics are similar to {include,exclude}_mounts: # ## the default is to collect everything; when include_operations is set, only # ## those OPs are collected; when exclude_operations is set, all are collected # ## except those listed. If include and exclude are set, the OP is excluded. # ## See /proc/self/mountstats for a list of valid operations; note that # ## NFSv3 and NFSv4 have different lists. While it is not possible to # ## have different include/exclude lists for NFSv3/4, unused elements # ## in the list should be okay. It is possible to have different lists # ## for different mountpoints: use mulitple [[input.nfsclient]] stanzas, # ## with their own lists. See "include_mounts" above, and be careful of # ## duplicate metrics. # # include_operations = [] # # exclude_operations = [] # # Read Nginx's basic status information (ngx_http_stub_status_module) # [[inputs.nginx]] # # An array of Nginx stub_status URI to gather stats. # urls = ["http://localhost/server_status"] # # ## Optional TLS Config # tls_ca = "/etc/telegraf/ca.pem" # tls_cert = "/etc/telegraf/cert.cer" # tls_key = "/etc/telegraf/key.key" # ## Use TLS but skip chain & host verification # insecure_skip_verify = false # # # HTTP response timeout (default: 5s) # response_timeout = "5s" # # Read Nginx Plus' full status information (ngx_http_status_module) # [[inputs.nginx_plus]] # ## An array of ngx_http_status_module or status URI to gather stats. # urls = ["http://localhost/status"] # # # HTTP response timeout (default: 5s) # response_timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read Nginx Plus Api documentation # [[inputs.nginx_plus_api]] # ## An array of API URI to gather stats. # urls = ["http://localhost/api"] # # # Nginx API version, default: 3 # # api_version = 3 # # # HTTP response timeout (default: 5s) # response_timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read Nginx virtual host traffic status module information (nginx-module-sts) # [[inputs.nginx_sts]] # ## An array of ngx_http_status_module or status URI to gather stats. # urls = ["http://localhost/status"] # # ## HTTP response timeout (default: 5s) # response_timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read nginx_upstream_check module status information (https://github.com/yaoweibin/nginx_upstream_check_module) # [[inputs.nginx_upstream_check]] # ## An URL where Nginx Upstream check module is enabled # ## It should be set to return a JSON formatted response # url = "http://127.0.0.1/status?format=json" # # ## HTTP method # # method = "GET" # # ## Optional HTTP headers # # headers = {"X-Special-Header" = "Special-Value"} # # ## Override HTTP "Host" header # # host_header = "check.example.com" # # ## Timeout for HTTP requests # timeout = "5s" # # ## Optional HTTP Basic Auth credentials # # username = "username" # # password = "pa$$word" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read Nginx virtual host traffic status module information (nginx-module-vts) # [[inputs.nginx_vts]] # ## An array of ngx_http_status_module or status URI to gather stats. # urls = ["http://localhost/status"] # # ## HTTP response timeout (default: 5s) # response_timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read metrics from the Nomad API # [[inputs.nomad]] # ## URL for the Nomad agent # # url = "http://127.0.0.1:4646" # # ## 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 # # A plugin to collect stats from the NSD authoritative DNS name server # [[inputs.nsd]] # ## Address of server to connect to, optionally ':port'. Defaults to the # ## address in the nsd config file. # server = "127.0.0.1:8953" # # ## If running as a restricted user you can prepend sudo for additional access: # # use_sudo = false # # ## The default location of the nsd-control binary can be overridden with: # # binary = "/usr/sbin/nsd-control" # # ## The default location of the nsd config file can be overridden with: # # config_file = "/etc/nsd/nsd.conf" # # ## The default timeout of 1s can be overridden with: # # timeout = "1s" # # Read NSQ topic and channel statistics. # [[inputs.nsq]] # ## An array of NSQD HTTP API endpoints # endpoints = ["http://localhost:4151"] # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Collect kernel snmp counters and network interface statistics # [[inputs.nstat]] # ## file paths for proc files. If empty default paths will be used: # ## /proc/net/netstat, /proc/net/snmp, /proc/net/snmp6 # ## These can also be overridden with env variables, see README. # proc_net_netstat = "/proc/net/netstat" # proc_net_snmp = "/proc/net/snmp" # proc_net_snmp6 = "/proc/net/snmp6" # ## dump metrics with 0 values too # dump_zeros = true # # Get standard NTP query metrics, requires ntpq executable. # [[inputs.ntpq]] # ## If false, set the -n ntpq flag. Can reduce metric gather time. # dns_lookup = true # # Pulls statistics from nvidia GPUs attached to the host # [[inputs.nvidia_smi]] # ## Optional: path to nvidia-smi binary, defaults "/usr/bin/nvidia-smi" # ## We will first try to locate the nvidia-smi binary with the explicitly specified value (or default value), # ## if it is not found, we will try to locate it on PATH(exec.LookPath), if it is still not found, an error will be returned # # bin_path = "/usr/bin/nvidia-smi" # # ## Optional: timeout for GPU polling # # timeout = "5s" # # Retrieve data from OPCUA devices # [[inputs.opcua]] # ## Metric name # # name = "opcua" # # # ## OPC UA Endpoint URL # # endpoint = "opc.tcp://localhost:4840" # # # ## Maximum time allowed to establish a connect to the endpoint. # # connect_timeout = "10s" # # # ## Maximum time allowed for a request over the estabilished connection. # # request_timeout = "5s" # # # ## Security policy, one of "None", "Basic128Rsa15", "Basic256", # ## "Basic256Sha256", or "auto" # # security_policy = "auto" # # # ## Security mode, one of "None", "Sign", "SignAndEncrypt", or "auto" # # security_mode = "auto" # # # ## Path to cert.pem. Required when security mode or policy isn't "None". # ## If cert path is not supplied, self-signed cert and key will be generated. # # certificate = "/etc/telegraf/cert.pem" # # # ## Path to private key.pem. Required when security mode or policy isn't "None". # ## If key path is not supplied, self-signed cert and key will be generated. # # private_key = "/etc/telegraf/key.pem" # # # ## Authentication Method, one of "Certificate", "UserName", or "Anonymous". To # ## authenticate using a specific ID, select 'Certificate' or 'UserName' # # auth_method = "Anonymous" # # # ## Username. Required for auth_method = "UserName" # # username = "" # # # ## Password. Required for auth_method = "UserName" # # password = "" # # # ## Option to select the metric timestamp to use. Valid options are: # ## "gather" -- uses the time of receiving the data in telegraf # ## "server" -- uses the timestamp provided by the server # ## "source" -- uses the timestamp provided by the source # # timestamp = "gather" # # # ## Node ID configuration # ## name - field name to use in the output # ## namespace - OPC UA namespace of the node (integer value 0 thru 3) # ## identifier_type - OPC UA ID type (s=string, i=numeric, g=guid, b=opaque) # ## identifier - OPC UA ID (tag as shown in opcua browser) # ## Example: # ## {name="ProductUri", namespace="0", identifier_type="i", identifier="2262"} # # nodes = [ # # {name="", namespace="", identifier_type="", identifier=""}, # # {name="", namespace="", identifier_type="", identifier=""}, # #] # # # ## Node Group # ## Sets defaults for OPC UA namespace and ID type so they aren't required in # ## every node. A group can also have a metric name that overrides the main # ## plugin metric name. # ## # ## Multiple node groups are allowed # #[[inputs.opcua.group]] # ## Group Metric name. Overrides the top level name. If unset, the # ## top level name is used. # # name = # # # ## Group default namespace. If a node in the group doesn't set its # ## namespace, this is used. # # namespace = # # # ## Group default identifier type. If a node in the group doesn't set its # ## namespace, this is used. # # identifier_type = # # # ## Node ID Configuration. Array of nodes with the same settings as above. # # nodes = [ # # {name="", namespace="", identifier_type="", identifier=""}, # # {name="", namespace="", identifier_type="", identifier=""}, # #] # # ## Enable workarounds required by some devices to work correctly # # [inputs.opcua.workarounds] # ## Set additional valid status codes, StatusOK (0x0) is always considered valid # # additional_valid_status_codes = ["0xC0"] # # OpenLDAP cn=Monitor plugin # [[inputs.openldap]] # host = "localhost" # port = 389 # # # ldaps, starttls, or no encryption. default is an empty string, disabling all encryption. # # note that port will likely need to be changed to 636 for ldaps # # valid options: "" | "starttls" | "ldaps" # tls = "" # # # skip peer certificate verification. Default is false. # insecure_skip_verify = false # # # Path to PEM-encoded Root certificate to use to verify server certificate # tls_ca = "/etc/ssl/certs.pem" # # # dn/password to bind with. If bind_dn is empty, an anonymous bind is performed. # bind_dn = "" # bind_password = "" # # # Reverse metric names so they sort more naturally. Recommended. # # This defaults to false if unset, but is set to true when generating a new config # reverse_metric_names = true # # Get standard NTP query metrics from OpenNTPD. # [[inputs.openntpd]] # ## Run ntpctl binary with sudo. # # use_sudo = false # # ## Location of the ntpctl binary. # # binary = "/usr/sbin/ntpctl" # # ## Maximum time the ntpctl binary is allowed to run. # # timeout = "5ms" # # A plugin to collect stats from Opensmtpd - a validating, recursive, and caching DNS resolver # [[inputs.opensmtpd]] # ## If running as a restricted user you can prepend sudo for additional access: # #use_sudo = false # # ## The default location of the smtpctl binary can be overridden with: # binary = "/usr/sbin/smtpctl" # # ## The default timeout of 1000ms can be overridden with (in milliseconds): # timeout = 1000 # # Collects performance metrics from OpenStack services # [[inputs.openstack]] # ## The recommended interval to poll is '30m' # # ## The identity endpoint to authenticate against and get the service catalog from. # authentication_endpoint = "https://my.openstack.cloud:5000" # # ## The domain to authenticate against when using a V3 identity endpoint. # # domain = "default" # # ## The project to authenticate as. # # project = "admin" # # ## User authentication credentials. Must have admin rights. # username = "admin" # password = "password" # # ## Available services are: # ## "agents", "aggregates", "flavors", "hypervisors", "networks", "nova_services", # ## "ports", "projects", "servers", "services", "stacks", "storage_pools", "subnets", "volumes" # # enabled_services = ["services", "projects", "hypervisors", "flavors", "networks", "volumes"] # # ## Collect Server Diagnostics # # server_diagnotics = false # # ## output secrets (such as adminPass(for server) and UserID(for volume)). # # output_secrets = false # # ## Amount of time allowed to complete the HTTP(s) request. # # timeout = "5s" # # ## HTTP Proxy support # # http_proxy_url = "" # # ## Optional TLS Config # # tls_ca = /path/to/cafile # # tls_cert = /path/to/certfile # # tls_key = /path/to/keyfile # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Options for tags received from Openstack # # tag_prefix = "openstack_tag_" # # tag_value = "true" # # ## Timestamp format for timestamp data recieved from Openstack. # ## If false format is unix nanoseconds. # # human_readable_timestamps = false # # ## Measure Openstack call duration # # measure_openstack_requests = false # # Read current weather and forecasts data from openweathermap.org # [[inputs.openweathermap]] # ## OpenWeatherMap API key. # app_id = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" # # ## City ID's to collect weather data from. # city_id = ["5391959"] # # ## Language of the description field. Can be one of "ar", "bg", # ## "ca", "cz", "de", "el", "en", "fa", "fi", "fr", "gl", "hr", "hu", # ## "it", "ja", "kr", "la", "lt", "mk", "nl", "pl", "pt", "ro", "ru", # ## "se", "sk", "sl", "es", "tr", "ua", "vi", "zh_cn", "zh_tw" # # lang = "en" # # ## APIs to fetch; can contain "weather" or "forecast". # fetch = ["weather", "forecast"] # # ## OpenWeatherMap base URL # # base_url = "https://api.openweathermap.org/" # # ## Timeout for HTTP response. # # response_timeout = "5s" # # ## Preferred unit system for temperature and wind speed. Can be one of # ## "metric", "imperial", or "standard". # # units = "metric" # # ## Query interval; OpenWeatherMap updates their weather data every 10 # ## minutes. # interval = "10m" # # Read metrics of passenger using passenger-status # [[inputs.passenger]] # ## Path of passenger-status. # ## # ## Plugin gather metric via parsing XML output of passenger-status # ## More information about the tool: # ## https://www.phusionpassenger.com/library/admin/apache/overall_status_report.html # ## # ## If no path is specified, then the plugin simply execute passenger-status # ## hopefully it can be found in your PATH # command = "passenger-status -v --show=xml" # # Gather counters from PF # [[inputs.pf]] # ## PF require root access on most systems. # ## Setting 'use_sudo' to true will make use of sudo to run pfctl. # ## Users must configure sudo to allow telegraf user to run pfctl with no password. # ## pfctl can be restricted to only list command "pfctl -s info". # use_sudo = false # # Read metrics of phpfpm, via HTTP status page or socket # [[inputs.phpfpm]] # ## An array of addresses to gather stats about. Specify an ip or hostname # ## with optional port and path # ## # ## Plugin can be configured in three modes (either can be used): # ## - http: the URL must start with http:// or https://, ie: # ## "http://localhost/status" # ## "http://192.168.130.1/status?full" # ## # ## - unixsocket: path to fpm socket, ie: # ## "/var/run/php5-fpm.sock" # ## or using a custom fpm status path: # ## "/var/run/php5-fpm.sock:fpm-custom-status-path" # ## # ## - fcgi: the URL must start with fcgi:// or cgi://, and port must be present, ie: # ## "fcgi://10.0.0.12:9000/status" # ## "cgi://10.0.10.12:9001/status" # ## # ## Example of multiple gathering from local socket and remote host # ## urls = ["http://192.168.1.20/status", "/tmp/fpm.sock"] # urls = ["http://localhost/status"] # # ## Duration allowed to complete HTTP requests. # # timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Ping given url(s) and return statistics # [[inputs.ping]] # ## Hosts to send ping packets to. # urls = ["example.org"] # # ## Method used for sending pings, can be either "exec" or "native". When set # ## to "exec" the systems ping command will be executed. When set to "native" # ## the plugin will send pings directly. # ## # ## While the default is "exec" for backwards compatibility, new deployments # ## are encouraged to use the "native" method for improved compatibility and # ## performance. # # method = "exec" # # ## Number of ping packets to send per interval. Corresponds to the "-c" # ## option of the ping command. # # count = 1 # # ## Time to wait between sending ping packets in seconds. Operates like the # ## "-i" option of the ping command. # # ping_interval = 1.0 # # ## If set, the time to wait for a ping response in seconds. Operates like # ## the "-W" option of the ping command. # # timeout = 1.0 # # ## If set, the total ping deadline, in seconds. Operates like the -w option # ## of the ping command. # # deadline = 10 # # ## Interface or source address to send ping from. Operates like the -I or -S # ## option of the ping command. # # interface = "" # # ## Percentiles to calculate. This only works with the native method. # # percentiles = [50, 95, 99] # # ## Specify the ping executable binary. # # binary = "ping" # # ## Arguments for ping command. When arguments is not empty, the command from # ## the binary option will be used and other options (ping_interval, timeout, # ## etc) will be ignored. # # arguments = ["-c", "3"] # # ## Use only IPv6 addresses when resolving a hostname. # # ipv6 = false # # ## Number of data bytes to be sent. Corresponds to the "-s" # ## option of the ping command. This only works with the native method. # # size = 56 # # Measure postfix queue statistics # [[inputs.postfix]] # ## Postfix queue directory. If not provided, telegraf will try to use # ## 'postconf -h queue_directory' to determine it. # # queue_directory = "/var/spool/postfix" # # Read metrics from one or many PowerDNS servers # [[inputs.powerdns]] # ## An array of sockets to gather stats about. # ## Specify a path to unix socket. # unix_sockets = ["/var/run/pdns.controlsocket"] # # Read metrics from one or many PowerDNS Recursor servers # [[inputs.powerdns_recursor]] # ## Path to the Recursor control socket. # unix_sockets = ["/var/run/pdns_recursor.controlsocket"] # # ## Directory to create receive socket. This default is likely not writable, # ## please reference the full plugin documentation for a recommended setup. # # socket_dir = "/var/run/" # ## Socket permissions for the receive socket. # # socket_mode = "0666" # # Monitor process cpu and memory usage # [[inputs.procstat]] # ## PID file to monitor process # pid_file = "/var/run/nginx.pid" # ## executable name (ie, pgrep ) # # exe = "nginx" # ## pattern as argument for pgrep (ie, pgrep -f ) # # pattern = "nginx" # ## user as argument for pgrep (ie, pgrep -u ) # # user = "nginx" # ## Systemd unit name, supports globs when include_systemd_children is set to true # # systemd_unit = "nginx.service" # # include_systemd_children = false # ## CGroup name or path, supports globs # # cgroup = "systemd/system.slice/nginx.service" # # ## Windows service name # # win_service = "" # # ## override for process_name # ## This is optional; default is sourced from /proc//status # # process_name = "bar" # # ## Field name prefix # # prefix = "" # # ## When true add the full cmdline as a tag. # # cmdline_tag = false # # ## Mode to use when calculating CPU usage. Can be one of 'solaris' or 'irix'. # # mode = "irix" # # ## Add the PID as a tag instead of as a field. When collecting multiple # ## processes with otherwise matching tags this setting should be enabled to # ## ensure each process has a unique identity. # ## # ## Enabling this option may result in a large number of series, especially # ## when processes have a short lifetime. # # pid_tag = false # # ## Method to use when finding process IDs. Can be one of 'pgrep', or # ## 'native'. The pgrep finder calls the pgrep executable in the PATH while # ## the native finder performs the search directly in a manor dependent on the # ## platform. Default is 'pgrep' # # pid_finder = "pgrep" # # Provides metrics from Proxmox nodes (Proxmox Virtual Environment > 6.2). # [[inputs.proxmox]] # ## API connection configuration. The API token was introduced in Proxmox v6.2. Required permissions for user and token: PVEAuditor role on /. # base_url = "https://localhost:8006/api2/json" # api_token = "USER@REALM!TOKENID=UUID" # ## Node name, defaults to OS hostname # # node_name = "" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # insecure_skip_verify = false # # # HTTP response timeout (default: 5s) # response_timeout = "5s" # # Reads last_run_summary.yaml file and converts to measurements # [[inputs.puppetagent]] # ## Location of puppet last run summary file # location = "/var/lib/puppet/state/last_run_summary.yaml" # # Reads metrics from RabbitMQ servers via the Management Plugin # [[inputs.rabbitmq]] # ## Management Plugin url. (default: http://localhost:15672) # # url = "http://localhost:15672" # ## Credentials # # username = "guest" # # password = "guest" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Optional request timeouts # ## # ## ResponseHeaderTimeout, if non-zero, specifies the amount of time to wait # ## for a server's response headers after fully writing the request. # # header_timeout = "3s" # ## # ## client_timeout specifies a time limit for requests made by this client. # ## Includes connection time, any redirects, and reading the response body. # # client_timeout = "4s" # # ## A list of nodes to gather as the rabbitmq_node measurement. If not # ## specified, metrics for all nodes are gathered. # # nodes = ["rabbit@node1", "rabbit@node2"] # # ## A list of exchanges to gather as the rabbitmq_exchange measurement. If not # ## specified, metrics for all exchanges are gathered. # # exchanges = ["telegraf"] # # ## Metrics to include and exclude. Globs accepted. # ## Note that an empty array for both will include all metrics # ## Currently the following metrics are supported: "exchange", "federation", "node", "overview", "queue" # # metric_include = [] # # metric_exclude = [] # # ## Queues to include and exclude. Globs accepted. # ## Note that an empty array for both will include all queues # queue_name_include = [] # queue_name_exclude = [] # # ## Federation upstreams include and exclude when gathering the rabbitmq_federation measurement. # ## If neither are specified, metrics for all federation upstreams are gathered. # ## Federation link metrics will only be gathered for queues and exchanges # ## whose non-federation metrics will be collected (e.g a queue excluded # ## by the 'queue_name_exclude' option will also be excluded from federation). # ## Globs accepted. # # federation_upstream_include = ["dataCentre-*"] # # federation_upstream_exclude = [] # # Read raindrops stats (raindrops - real-time stats for preforking Rack servers) # [[inputs.raindrops]] # ## An array of raindrops middleware URI to gather stats. # urls = ["http://localhost:8080/_raindrops"] # # Reads metrics from RavenDB servers via the Monitoring Endpoints # [[inputs.ravendb]] # ## Node URL and port that RavenDB is listening on. By default, # ## attempts to connect securely over HTTPS, however, if the user # ## is running a local unsecure development cluster users can use # ## HTTP via a URL like "http://localhost:8080" # url = "https://localhost:4433" # # ## RavenDB X509 client certificate setup # # tls_cert = "/etc/telegraf/raven.crt" # # tls_key = "/etc/telegraf/raven.key" # # ## Optional request timeout # ## # ## Timeout, specifies the amount of time to wait # ## for a server's response headers after fully writing the request and # ## time limit for requests made by this client # # timeout = "5s" # # ## List of statistics which are collected # # At least one is required # # Allowed values: server, databases, indexes, collections # # # # stats_include = ["server", "databases", "indexes", "collections"] # # ## List of db where database stats are collected # ## If empty, all db are concerned # # db_stats_dbs = [] # # ## List of db where index status are collected # ## If empty, all indexes from all db are concerned # # index_stats_dbs = [] # # ## List of db where collection status are collected # ## If empty, all collections from all db are concerned # # collection_stats_dbs = [] # # Read CPU, Fans, Powersupply and Voltage metrics of hardware server through redfish APIs # [[inputs.redfish]] # ## Server url # address = "https://127.0.0.1:5000" # # ## Username, Password for hardware server # username = "root" # password = "password123456" # # ## ComputerSystemId # computer_system_id="2M220100SL" # # ## Amount of time allowed to complete the HTTP request # # timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read metrics from one or many redis servers # [[inputs.redis]] # ## specify servers via a url matching: # ## [protocol://][:password]@address[:port] # ## e.g. # ## tcp://localhost:6379 # ## tcp://:password@192.168.99.100 # ## unix:///var/run/redis.sock # ## # ## If no servers are specified, then localhost is used as the host. # ## If no port is specified, 6379 is used # servers = ["tcp://localhost:6379"] # # ## Optional. Specify redis commands to retrieve values # # [[inputs.redis.commands]] # # # The command to run where each argument is a separate element # # command = ["get", "sample-key"] # # # The field to store the result in # # field = "sample-key-value" # # # The type of the result # # # Can be "string", "integer", or "float" # # type = "string" # # ## specify server password # # password = "s#cr@t%" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = true # # Read metrics from one or many redis-sentinel servers # [[inputs.redis_sentinel]] # ## specify servers via a url matching: # ## [protocol://][:password]@address[:port] # ## e.g. # ## tcp://localhost:26379 # ## tcp://:password@192.168.99.100 # ## unix:///var/run/redis-sentinel.sock # ## # ## If no servers are specified, then localhost is used as the host. # ## If no port is specified, 26379 is used # # servers = ["tcp://localhost:26379"] # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = true # # Read metrics from one or many RethinkDB servers # [[inputs.rethinkdb]] # ## An array of URI to gather stats about. Specify an ip or hostname # ## with optional port add password. ie, # ## rethinkdb://user:auth_key@10.10.3.30:28105, # ## rethinkdb://10.10.3.33:18832, # ## 10.0.0.1:10000, etc. # servers = ["127.0.0.1:28015"] # ## # ## If you use actual rethinkdb of > 2.3.0 with username/password authorization, # ## protocol have to be named "rethinkdb2" - it will use 1_0 H. # # servers = ["rethinkdb2://username:password@127.0.0.1:28015"] # ## # ## If you use older versions of rethinkdb (<2.2) with auth_key, protocol # ## have to be named "rethinkdb". # # servers = ["rethinkdb://username:auth_key@127.0.0.1:28015"] # # Read metrics one or many Riak servers # [[inputs.riak]] # # Specify a list of one or more riak http servers # servers = ["http://localhost:8098"] # # Read API usage and limits for a Salesforce organisation # [[inputs.salesforce]] # ## specify your credentials # ## # username = "your_username" # password = "your_password" # ## # ## (optional) security token # # security_token = "your_security_token" # ## # ## (optional) environment type (sandbox or production) # ## default is: production # ## # # environment = "production" # ## # ## (optional) API version (default: "39.0") # ## # # version = "39.0" # # Monitor sensors, requires lm-sensors package # [[inputs.sensors]] # ## Remove numbers from field names. # ## If true, a field name like 'temp1_input' will be changed to 'temp_input'. # # remove_numbers = true # # ## Timeout is the maximum amount of time that the sensors command can run. # # timeout = "5s" # # Read metrics from storage devices supporting S.M.A.R.T. # [[inputs.smart]] # ## Optionally specify the path to the smartctl executable # # path_smartctl = "/usr/bin/smartctl" # # ## Optionally specify the path to the nvme-cli executable # # path_nvme = "/usr/bin/nvme" # # ## Optionally specify if vendor specific attributes should be propagated for NVMe disk case # ## ["auto-on"] - automatically find and enable additional vendor specific disk info # ## ["vendor1", "vendor2", ...] - e.g. "Intel" enable additional Intel specific disk info # # enable_extensions = ["auto-on"] # # ## On most platforms used cli utilities requires root access. # ## Setting 'use_sudo' to true will make use of sudo to run smartctl or nvme-cli. # ## Sudo must be configured to allow the telegraf user to run smartctl or nvme-cli # ## without a password. # # use_sudo = false # # ## Skip checking disks in this power mode. Defaults to # ## "standby" to not wake up disks that have stopped rotating. # ## See --nocheck in the man pages for smartctl. # ## smartctl version 5.41 and 5.42 have faulty detection of # ## power mode and might require changing this value to # ## "never" depending on your disks. # # nocheck = "standby" # # ## Gather all returned S.M.A.R.T. attribute metrics and the detailed # ## information from each drive into the 'smart_attribute' measurement. # # attributes = false # # ## Optionally specify devices to exclude from reporting if disks auto-discovery is performed. # # excludes = [ "/dev/pass6" ] # # ## Optionally specify devices and device type, if unset # ## a scan (smartctl --scan and smartctl --scan -d nvme) for S.M.A.R.T. devices will be done # ## and all found will be included except for the excluded in excludes. # # devices = [ "/dev/ada0 -d atacam", "/dev/nvme0"] # # ## Timeout for the cli command to complete. # # timeout = "30s" # # ## Optionally call smartctl and nvme-cli with a specific concurrency policy. # ## By default, smartctl and nvme-cli are called in separate threads (goroutines) to gather disk attributes. # ## Some devices (e.g. disks in RAID arrays) may have access limitations that require sequential reading of # ## SMART data - one individual array drive at the time. In such case please set this configuration option # ## to "sequential" to get readings for all drives. # ## valid options: concurrent, sequential # # read_method = "concurrent" # # Retrieves SNMP values from remote agents # [[inputs.snmp]] # ## Agent addresses to retrieve values from. # ## format: agents = [":"] # ## scheme: optional, either udp, udp4, udp6, tcp, tcp4, tcp6. # ## default is udp # ## port: optional # ## example: agents = ["udp://127.0.0.1:161"] # ## agents = ["tcp://127.0.0.1:161"] # ## agents = ["udp4://v4only-snmp-agent"] # agents = ["udp://127.0.0.1:161"] # # ## Timeout for each request. # # timeout = "5s" # # ## SNMP version; can be 1, 2, or 3. # # version = 2 # # ## Path to mib files # ## Used by the gosmi translator. # ## To add paths when translating with netsnmp, use the MIBDIRS environment variable # # path = ["/usr/share/snmp/mibs"] # # ## Agent host tag; the tag used to reference the source host # # agent_host_tag = "agent_host" # # ## SNMP community string. # # community = "public" # # ## Number of retries to attempt. # # retries = 3 # # ## The GETBULK max-repetitions parameter. # # max_repetitions = 10 # # ## SNMPv3 authentication and encryption options. # ## # ## Security Name. # # sec_name = "myuser" # ## Authentication protocol; one of "MD5", "SHA", "SHA224", "SHA256", "SHA384", "SHA512" or "". # # auth_protocol = "MD5" # ## Authentication password. # # auth_password = "pass" # ## Security Level; one of "noAuthNoPriv", "authNoPriv", or "authPriv". # # sec_level = "authNoPriv" # ## Context Name. # # context_name = "" # ## Privacy protocol used for encrypted messages; one of "DES", "AES" or "". # # priv_protocol = "" # ## Privacy password used for encrypted messages. # # priv_password = "" # # ## Add fields and tables defining the variables you wish to collect. This # ## example collects the system uptime and interface variables. Reference the # ## full plugin documentation for configuration details. # # DEPRECATED! PLEASE USE inputs.snmp INSTEAD. # [[inputs.snmp_legacy]] # ## DEPRECATED: The 'snmp_legacy' plugin is deprecated in version 1.0.0, use 'inputs.snmp' instead. # ## Use 'oids.txt' file to translate oids to names # ## To generate 'oids.txt' you need to run: # ## snmptranslate -m all -Tz -On | sed -e 's/"//g' > /tmp/oids.txt # ## Or if you have an other MIB folder with custom MIBs # ## snmptranslate -M /mycustommibfolder -Tz -On -m all | sed -e 's/"//g' > oids.txt # snmptranslate_file = "/tmp/oids.txt" # [[inputs.snmp.host]] # address = "192.168.2.2:161" # # SNMP community # community = "public" # default public # # SNMP version (1, 2 or 3) # # Version 3 not supported yet # version = 2 # default 2 # # SNMP response timeout # timeout = 2.0 # default 2.0 # # SNMP request retries # retries = 2 # default 2 # # Which get/bulk do you want to collect for this host # collect = ["mybulk", "sysservices", "sysdescr"] # # Simple list of OIDs to get, in addition to "collect" # get_oids = [] # # [[inputs.snmp.host]] # address = "192.168.2.3:161" # community = "public" # version = 2 # timeout = 2.0 # retries = 2 # collect = ["mybulk"] # get_oids = [ # "ifNumber", # ".1.3.6.1.2.1.1.3.0", # ] # # [[inputs.snmp.get]] # name = "ifnumber" # oid = "ifNumber" # # [[inputs.snmp.get]] # name = "interface_speed" # oid = "ifSpeed" # instance = "0" # # [[inputs.snmp.get]] # name = "sysuptime" # oid = ".1.3.6.1.2.1.1.3.0" # unit = "second" # # [[inputs.snmp.bulk]] # name = "mybulk" # max_repetition = 127 # oid = ".1.3.6.1.2.1.1" # # [[inputs.snmp.bulk]] # name = "ifoutoctets" # max_repetition = 127 # oid = "ifOutOctets" # # [[inputs.snmp.host]] # address = "192.168.2.13:161" # #address = "127.0.0.1:161" # community = "public" # version = 2 # timeout = 2.0 # retries = 2 # #collect = ["mybulk", "sysservices", "sysdescr", "systype"] # collect = ["sysuptime" ] # [[inputs.snmp.host.table]] # name = "iftable3" # include_instances = ["enp5s0", "eth1"] # # # SNMP TABLEs # # table without mapping neither subtables # [[inputs.snmp.table]] # name = "iftable1" # oid = ".1.3.6.1.2.1.31.1.1.1" # # # table without mapping but with subtables # [[inputs.snmp.table]] # name = "iftable2" # oid = ".1.3.6.1.2.1.31.1.1.1" # sub_tables = [".1.3.6.1.2.1.2.2.1.13"] # # # table with mapping but without subtables # [[inputs.snmp.table]] # name = "iftable3" # oid = ".1.3.6.1.2.1.31.1.1.1" # # if empty. get all instances # mapping_table = ".1.3.6.1.2.1.31.1.1.1.1" # # if empty, get all subtables # # # table with both mapping and subtables # [[inputs.snmp.table]] # name = "iftable4" # oid = ".1.3.6.1.2.1.31.1.1.1" # # if empty get all instances # mapping_table = ".1.3.6.1.2.1.31.1.1.1.1" # # if empty get all subtables # # sub_tables could be not "real subtables" # sub_tables=[".1.3.6.1.2.1.2.2.1.13", "bytes_recv", "bytes_send"] # # Gather indicators from established connections, using iproute2's `ss` command. # [[inputs.socketstat]] # ## ss can display information about tcp, udp, raw, unix, packet, dccp and sctp sockets # ## List of protocol types to collect # # protocols = [ "tcp", "udp" ] # ## The default timeout of 1s for ss execution can be overridden here: # # timeout = "1s" # # Read stats from one or more Solr servers or cores # [[inputs.solr]] # ## specify a list of one or more Solr servers # servers = ["http://localhost:8983"] # # ## specify a list of one or more Solr cores (default - all) # # cores = ["main"] # # ## Optional HTTP Basic Auth Credentials # # username = "username" # # password = "pa$$word" # # Gather timeseries from Google Cloud Platform v3 monitoring API # [[inputs.stackdriver]] # ## GCP Project # project = "erudite-bloom-151019" # # ## Include timeseries that start with the given metric type. # metric_type_prefix_include = [ # "compute.googleapis.com/", # ] # # ## Exclude timeseries that start with the given metric type. # # metric_type_prefix_exclude = [] # # ## Many metrics are updated once per minute; it is recommended to override # ## the agent level interval with a value of 1m or greater. # interval = "1m" # # ## Maximum number of API calls to make per second. The quota for accounts # ## varies, it can be viewed on the API dashboard: # ## https://cloud.google.com/monitoring/quotas#quotas_and_limits # # rate_limit = 14 # # ## The delay and window options control the number of points selected on # ## each gather. When set, metrics are gathered between: # ## start: now() - delay - window # ## end: now() - delay # # # ## Collection delay; if set too low metrics may not yet be available. # # delay = "5m" # # # ## If unset, the window will start at 1m and be updated dynamically to span # ## the time between calls (approximately the length of the plugin interval). # # window = "1m" # # ## TTL for cached list of metric types. This is the maximum amount of time # ## it may take to discover new metrics. # # cache_ttl = "1h" # # ## If true, raw bucket counts are collected for distribution value types. # ## For a more lightweight collection, you may wish to disable and use # ## distribution_aggregation_aligners instead. # # gather_raw_distribution_buckets = true # # ## Aggregate functions to be used for metrics whose value type is # ## distribution. These aggregate values are recorded in in addition to raw # ## bucket counts; if they are enabled. # ## # ## For a list of aligner strings see: # ## https://cloud.google.com/monitoring/api/ref_v3/rpc/google.monitoring.v3#aligner # # distribution_aggregation_aligners = [ # # "ALIGN_PERCENTILE_99", # # "ALIGN_PERCENTILE_95", # # "ALIGN_PERCENTILE_50", # # ] # # ## Filters can be added to reduce the number of time series matched. All # ## functions are supported: starts_with, ends_with, has_substring, and # ## one_of. Only the '=' operator is supported. # ## # ## The logical operators when combining filters are defined statically using # ## the following values: # ## filter ::= {AND } # ## resource_labels ::= {OR } # ## metric_labels ::= {OR } # ## # ## For more details, see https://cloud.google.com/monitoring/api/v3/filters # # # ## Resource labels refine the time series selection with the following expression: # ## resource.labels. = # # [[inputs.stackdriver.filter.resource_labels]] # # key = "instance_name" # # value = 'starts_with("localhost")' # # # ## Metric labels refine the time series selection with the following expression: # ## metric.labels. = # # [[inputs.stackdriver.filter.metric_labels]] # # key = "device_name" # # value = 'one_of("sda", "sdb")' # # Get synproxy counter statistics from procfs # [[inputs.synproxy]] # # no configuration # # Sysstat metrics collector # [[inputs.sysstat]] # ## Path to the sadc command. # # # ## Common Defaults: # ## Debian/Ubuntu: /usr/lib/sysstat/sadc # ## Arch: /usr/lib/sa/sadc # ## RHEL/CentOS: /usr/lib64/sa/sadc # sadc_path = "/usr/lib/sa/sadc" # required # # ## Path to the sadf command, if it is not in PATH # # sadf_path = "/usr/bin/sadf" # # ## Activities is a list of activities, that are passed as argument to the # ## sadc collector utility (e.g: DISK, SNMP etc...) # ## The more activities that are added, the more data is collected. # # activities = ["DISK"] # # ## Group metrics to measurements. # ## # ## If group is false each metric will be prefixed with a description # ## and represents itself a measurement. # ## # ## If Group is true, corresponding metrics are grouped to a single measurement. # # group = true # # ## Options for the sadf command. The values on the left represent the sadf # ## options and the values on the right their description (which are used for # ## grouping and prefixing metrics). # ## # ## Run 'sar -h' or 'man sar' to find out the supported options for your # ## sysstat version. # [inputs.sysstat.options] # -C = "cpu" # -B = "paging" # -b = "io" # -d = "disk" # requires DISK activity # "-n ALL" = "network" # "-P ALL" = "per_cpu" # -q = "queue" # -R = "mem" # -r = "mem_util" # -S = "swap_util" # -u = "cpu_util" # -v = "inode" # -W = "swap" # -w = "task" # # -H = "hugepages" # only available for newer linux distributions # # "-I ALL" = "interrupts" # requires INT activity # # ## Device tags can be used to add additional tags for devices. # ## For example the configuration below adds a tag vg with value rootvg for # ## all metrics with sda devices. # # [[inputs.sysstat.device_tags.sda]] # # vg = "rootvg" # # Gather systemd units state # [[inputs.systemd_units]] # ## Set timeout for systemctl execution # # timeout = "1s" # # # ## Filter for a specific unit type, default is "service", other possible # ## values are "socket", "target", "device", "mount", "automount", "swap", # ## "timer", "path", "slice" and "scope ": # # unittype = "service" # # # ## Filter for a specific pattern, default is "" (i.e. all), other possible # ## values are valid pattern for systemctl, e.g. "a*" for all units with # ## names starting with "a" # # pattern = "" # ## pattern = "telegraf* influxdb*" # ## pattern = "a*" # # Reads metrics from a Teamspeak 3 Server via ServerQuery # [[inputs.teamspeak]] # ## Server address for Teamspeak 3 ServerQuery # # server = "127.0.0.1:10011" # ## Username for ServerQuery # username = "serverqueryuser" # ## Password for ServerQuery # password = "secret" # ## Array of virtual servers # # virtual_servers = [1] # # Read metrics about temperature # [[inputs.temp]] # # no configuration # # Read Tengine's basic status information (ngx_http_reqstat_module) # [[inputs.tengine]] # # An array of Tengine reqstat module URI to gather stats. # urls = ["http://127.0.0.1/us"] # # # HTTP response timeout (default: 5s) # # response_timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.cer" # # tls_key = "/etc/telegraf/key.key" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Gather metrics from the Tomcat server status page. # [[inputs.tomcat]] # ## URL of the Tomcat server status # # url = "http://127.0.0.1:8080/manager/status/all?XML=true" # # ## HTTP Basic Auth Credentials # # username = "tomcat" # # password = "s3cret" # # ## Request timeout # # timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Inserts sine and cosine waves for demonstration purposes # [[inputs.trig]] # ## Set the amplitude # amplitude = 10.0 # # Read Twemproxy stats data # [[inputs.twemproxy]] # ## Twemproxy stats address and port (no scheme) # addr = "localhost:22222" # ## Monitor pool name # pools = ["redis_pool", "mc_pool"] # # A plugin to collect stats from the Unbound DNS resolver # [[inputs.unbound]] # ## Address of server to connect to, read from unbound conf default, optionally ':port' # ## Will lookup IP if given a hostname # server = "127.0.0.1:8953" # # ## If running as a restricted user you can prepend sudo for additional access: # # use_sudo = false # # ## The default location of the unbound-control binary can be overridden with: # # binary = "/usr/sbin/unbound-control" # # ## The default location of the unbound config file can be overridden with: # # config_file = "/etc/unbound/unbound.conf" # # ## The default timeout of 1s can be overridden with: # # timeout = "1s" # # ## When set to true, thread metrics are tagged with the thread id. # ## # ## The default is false for backwards compatibility, and will be changed to # ## true in a future version. It is recommended to set to true on new # ## deployments. # thread_as_tag = false # # Read uWSGI metrics. # [[inputs.uwsgi]] # ## List with urls of uWSGI Stats servers. URL must match pattern: # ## scheme://address[:port] # ## # ## For example: # ## servers = ["tcp://localhost:5050", "http://localhost:1717", "unix:///tmp/statsock"] # servers = ["tcp://127.0.0.1:1717"] # # ## General connection timeout # # timeout = "5s" # # A plugin to collect stats from Varnish HTTP Cache # [[inputs.varnish]] # ## If running as a restricted user you can prepend sudo for additional access: # #use_sudo = false # # ## The default location of the varnishstat binary can be overridden with: # binary = "/usr/bin/varnishstat" # # ## Additional custom arguments for the varnishstat command # # binary_args = ["-f", "MAIN.*"] # # ## The default location of the varnishadm binary can be overriden with: # adm_binary = "/usr/bin/varnishadm" # # ## Custom arguments for the varnishadm command # # adm_binary_args = [""] # # ## Metric version defaults to metric_version=1, use metric_version=2 for removal of nonactive vcls. # metric_version = 1 # # ## Additional regexps to override builtin conversion of varnish metrics into telegraf metrics. # ## Regexp group "_vcl" is used for extracting the VCL name. Metrics that contains nonactive VCL's are skipped. # ## Regexp group "_field" overrides field name. Other named regexp groups are used as tags. # # regexps = ['XCNT\.(?P<_vcl>[\w\-]*)\.(?P[\w\-.+]*)\.(?P<_field>[\w\-.+]*)\.val'] # # ## By default, telegraf gather stats for 3 metric points. # ## Setting stats will override the defaults shown below. # ## Glob matching can be used, ie, stats = ["MAIN.*"] # ## stats may also be set to ["*"], which will collect all stats # stats = ["MAIN.cache_hit", "MAIN.cache_miss", "MAIN.uptime"] # # ## Optional name for the varnish instance (or working directory) to query # ## Usually append after -n in varnish cli # # instance_name = instanceName # # ## Timeout for varnishstat command # # timeout = "1s" # # Read metrics from the Vault API # [[inputs.vault]] # ## URL for the Vault agent # # url = "http://127.0.0.1:8200" # # ## Use Vault token for authorization. # ## Vault token configuration is mandatory. # ## If both are empty or both are set, an error is thrown. # # token_file = "/path/to/auth/token" # ## OR # token = "s.CDDrgg5zPv5ssI0Z2P4qxJj2" # # ## 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 # # Collect Wireguard server interface and peer statistics # [[inputs.wireguard]] # ## Optional list of Wireguard device/interface names to query. # ## If omitted, all Wireguard interfaces are queried. # # devices = ["wg0"] # # Monitor wifi signal strength and quality # [[inputs.wireless]] # ## Sets 'proc' directory path # ## If not specified, then default is /proc # # host_proc = "/proc" # # Reads metrics from a SSL certificate # [[inputs.x509_cert]] # ## List certificate sources # ## Prefix your entry with 'file://' if you intend to use relative paths # sources = ["tcp://example.org:443", "https://influxdata.com:443", # "udp://127.0.0.1:4433", "/etc/ssl/certs/ssl-cert-snakeoil.pem", # "/etc/mycerts/*.mydomain.org.pem", "file:///path/to/*.pem"] # # ## Timeout for SSL connection # # timeout = "5s" # # ## Pass a different name into the TLS request (Server Name Indication) # ## example: server_name = "myhost.example.org" # # server_name = "" # # ## Don't include root or intermediate certificates in output # # exclude_root_certs = false # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # # Gathers Metrics From a Dell EMC XtremIO Storage Array's V3 API # [[inputs.xtremio]] # ## XtremIO User Interface Endpoint # url = "https://xtremio.example.com/" # required # # ## Credentials # username = "user1" # password = "pass123" # # ## Metrics to collect from the XtremIO # # collectors = ["bbus","clusters","ssds","volumes","xms"] # # ## 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 # # Read metrics of ZFS from arcstats, zfetchstats, vdev_cache_stats, pools and datasets # [[inputs.zfs]] # ## ZFS kstat path. Ignored on FreeBSD # ## If not specified, then default is: # # kstatPath = "/proc/spl/kstat/zfs" # # ## By default, telegraf gather all zfs stats # ## If not specified, then default is: # # kstatMetrics = ["arcstats", "zfetchstats", "vdev_cache_stats"] # ## For Linux, the default is: # # kstatMetrics = ["abdstats", "arcstats", "dnodestats", "dbufcachestats", # # "dmu_tx", "fm", "vdev_mirror_stats", "zfetchstats", "zil"] # ## By default, don't gather zpool stats # # poolMetrics = false # ## By default, don't gather zdataset stats # # datasetMetrics = false # # Reads 'mntr' stats from one or many zookeeper servers # [[inputs.zookeeper]] # ## An array of address to gather stats about. Specify an ip or hostname # ## with port. ie localhost:2181, 10.0.0.1:2181, etc. # # ## If no servers are specified, then localhost is used as the host. # ## If no port is specified, 2181 is used # servers = [":2181"] # # ## Timeout for metric collections from all servers. Minimum timeout is "1s". # # timeout = "5s" # # ## Optional TLS Config # # enable_tls = true # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## If false, skip chain & host verification # # insecure_skip_verify = true ############################################################################### # SERVICE INPUT PLUGINS # ############################################################################### # # Pull Metric Statistics from Aliyun CMS # [[inputs.aliyuncms]] # ## Aliyun Credentials # ## Credentials are loaded in the following order # ## 1) Ram RoleArn credential # ## 2) AccessKey STS token credential # ## 3) AccessKey credential # ## 4) Ecs Ram Role credential # ## 5) RSA keypair credential # ## 6) Environment variables credential # ## 7) Instance metadata credential # # # access_key_id = "" # # access_key_secret = "" # # access_key_sts_token = "" # # role_arn = "" # # role_session_name = "" # # private_key = "" # # public_key_id = "" # # role_name = "" # # ## Specify the ali cloud region list to be queried for metrics and objects discovery # ## If not set, all supported regions (see below) would be covered, it can provide a significant load on API, so the recommendation here # ## is to limit the list as much as possible. Allowed values: https://www.alibabacloud.com/help/zh/doc-detail/40654.htm # ## Default supported regions are: # ## 21 items: cn-qingdao,cn-beijing,cn-zhangjiakou,cn-huhehaote,cn-hangzhou,cn-shanghai,cn-shenzhen, # ## cn-heyuan,cn-chengdu,cn-hongkong,ap-southeast-1,ap-southeast-2,ap-southeast-3,ap-southeast-5, # ## ap-south-1,ap-northeast-1,us-west-1,us-east-1,eu-central-1,eu-west-1,me-east-1 # ## # ## From discovery perspective it set the scope for object discovery, the discovered info can be used to enrich # ## the metrics with objects attributes/tags. Discovery is supported not for all projects (if not supported, then # ## it will be reported on the start - for example for 'acs_cdn' project: # ## 'E! [inputs.aliyuncms] Discovery tool is not activated: no discovery support for project "acs_cdn"' ) # ## Currently, discovery supported for the following projects: # ## - acs_ecs_dashboard # ## - acs_rds_dashboard # ## - acs_slb_dashboard # ## - acs_vpc_eip # regions = ["cn-hongkong"] # # # The minimum period for AliyunCMS metrics is 1 minute (60s). However not all # # metrics are made available to the 1 minute period. Some are collected at # # 3 minute, 5 minute, or larger intervals. # # See: https://help.aliyun.com/document_detail/51936.html?spm=a2c4g.11186623.2.18.2bc1750eeOw1Pv # # Note that if a period is configured that is smaller than the minimum for a # # particular metric, that metric will not be returned by the Aliyun OpenAPI # # and will not be collected by Telegraf. # # # ## Requested AliyunCMS aggregation Period (required - must be a multiple of 60s) # period = "5m" # # ## Collection Delay (required - must account for metrics availability via AliyunCMS API) # delay = "1m" # # ## Recommended: use metric 'interval' that is a multiple of 'period' to avoid # ## gaps or overlap in pulled data # interval = "5m" # # ## Metric Statistic Project (required) # project = "acs_slb_dashboard" # # ## Maximum requests per second, default value is 200 # ratelimit = 200 # # ## How often the discovery API call executed (default 1m) # #discovery_interval = "1m" # # ## Metrics to Pull (Required) # [[inputs.aliyuncms.metrics]] # ## Metrics names to be requested, # ## described here (per project): https://help.aliyun.com/document_detail/28619.html?spm=a2c4g.11186623.6.690.1938ad41wg8QSq # names = ["InstanceActiveConnection", "InstanceNewConnection"] # # ## Dimension filters for Metric (these are optional). # ## This allows to get additional metric dimension. If dimension is not specified it can be returned or # ## the data can be aggregated - it depends on particular metric, you can find details here: https://help.aliyun.com/document_detail/28619.html?spm=a2c4g.11186623.6.690.1938ad41wg8QSq # ## # ## Note, that by default dimension filter includes the list of discovered objects in scope (if discovery is enabled) # ## Values specified here would be added into the list of discovered objects. # ## You can specify either single dimension: # #dimensions = '{"instanceId": "p-example"}' # # ## Or you can specify several dimensions at once: # #dimensions = '[{"instanceId": "p-example"},{"instanceId": "q-example"}]' # # ## Enrichment tags, can be added from discovery (if supported) # ## Notation is : # ## To figure out which fields are available, consult the Describe API per project. # ## For example, for SLB: https://api.aliyun.com/#/?product=Slb&version=2014-05-15&api=DescribeLoadBalancers¶ms={}&tab=MOCK&lang=GO # #tag_query_path = [ # # "address:Address", # # "name:LoadBalancerName", # # "cluster_owner:Tags.Tag[?TagKey=='cs.cluster.name'].TagValue | [0]" # # ] # ## The following tags added by default: regionId (if discovery enabled), userId, instanceId. # # ## Allow metrics without discovery data, if discovery is enabled. If set to true, then metric without discovery # ## data would be emitted, otherwise dropped. This cane be of help, in case debugging dimension filters, or partial coverage # ## of discovery scope vs monitoring scope # #allow_dps_without_discovery = false # # AMQP consumer plugin # [[inputs.amqp_consumer]] # ## Brokers to consume from. If multiple brokers are specified a random broker # ## will be selected anytime a connection is established. This can be # ## helpful for load balancing when not using a dedicated load balancer. # brokers = ["amqp://localhost:5672/influxdb"] # # ## Authentication credentials for the PLAIN auth_method. # # username = "" # # password = "" # # ## Name of the exchange to declare. If unset, no exchange will be declared. # exchange = "telegraf" # # ## Exchange type; common types are "direct", "fanout", "topic", "header", "x-consistent-hash". # # exchange_type = "topic" # # ## If true, exchange will be passively declared. # # exchange_passive = false # # ## Exchange durability can be either "transient" or "durable". # # exchange_durability = "durable" # # ## Additional exchange arguments. # # exchange_arguments = { } # # exchange_arguments = {"hash_property" = "timestamp"} # # ## AMQP queue name. # queue = "telegraf" # # ## AMQP queue durability can be "transient" or "durable". # queue_durability = "durable" # # ## If true, queue will be passively declared. # # queue_passive = false # # ## A binding between the exchange and queue using this binding key is # ## created. If unset, no binding is created. # binding_key = "#" # # ## Maximum number of messages server should give to the worker. # # prefetch_count = 50 # # ## Maximum messages to read from the broker that have not been written by an # ## output. For best throughput set based on the number of metrics within # ## each message and the size of the output's metric_batch_size. # ## # ## For example, if each message from the queue contains 10 metrics and the # ## output metric_batch_size is 1000, setting this to 100 will ensure that a # ## full batch is collected and the write is triggered immediately without # ## waiting until the next flush_interval. # # max_undelivered_messages = 1000 # # ## Auth method. PLAIN and EXTERNAL are supported # ## Using EXTERNAL requires enabling the rabbitmq_auth_mechanism_ssl plugin as # ## described here: https://www.rabbitmq.com/plugins.html # # auth_method = "PLAIN" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Content encoding for message payloads, can be set to "gzip" to or # ## "identity" to apply no encoding. # # content_encoding = "identity" # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # Read Cassandra metrics through Jolokia # [[inputs.cassandra]] # ## DEPRECATED: The 'cassandra' plugin is deprecated in version 1.7.0, use 'inputs.jolokia2' with the 'cassandra.conf' example configuration instead. # ## DEPRECATED: The cassandra plugin has been deprecated. Please use the # ## jolokia2 plugin instead. # ## # ## see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/jolokia2 # # context = "/jolokia/read" # ## List of cassandra servers exposing jolokia read service # servers = ["myuser:mypassword@10.10.10.1:8778","10.10.10.2:8778",":8778"] # ## List of metrics collected on above servers # ## Each metric consists of a jmx path. # ## This will collect all heap memory usage metrics from the jvm and # ## ReadLatency metrics for all keyspaces and tables. # ## "type=Table" in the query works with Cassandra3.0. Older versions might # ## need to use "type=ColumnFamily" # metrics = [ # "/java.lang:type=Memory/HeapMemoryUsage", # "/org.apache.cassandra.metrics:type=Table,keyspace=*,scope=*,name=ReadLatency" # ] # # Cisco model-driven telemetry (MDT) input plugin for IOS XR, IOS XE and NX-OS platforms # [[inputs.cisco_telemetry_mdt]] # ## Telemetry transport can be "tcp" or "grpc". TLS is only supported when # ## using the grpc transport. # transport = "grpc" # # ## Address and port to host telemetry listener # service_address = ":57000" # # ## Enable TLS; grpc transport only. # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # # ## Enable TLS client authentication and define allowed CA certificates; grpc # ## transport only. # # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"] # # ## Define (for certain nested telemetry measurements with embedded tags) which fields are tags # # embedded_tags = ["Cisco-IOS-XR-qos-ma-oper:qos/interface-table/interface/input/service-policy-names/service-policy-instance/statistics/class-stats/class-name"] # # ## Define aliases to map telemetry encoding paths to simple measurement names # [inputs.cisco_telemetry_mdt.aliases] # ifstats = "ietf-interfaces:interfaces-state/interface/statistics" # ##Define Property Xformation, please refer README and https://pubhub.devnetcloud.com/media/dme-docs-9-3-3/docs/appendix/ for Model details. # [inputs.cisco_telemetry_mdt.dmes] # ModTs = "ignore" # CreateTs = "ignore" # # Read metrics from one or many ClickHouse servers # [[inputs.clickhouse]] # ## Username for authorization on ClickHouse server # ## example: username = "default" # username = "default" # # ## Password for authorization on ClickHouse server # ## example: password = "super_secret" # # ## HTTP(s) timeout while getting metrics values # ## The timeout includes connection time, any redirects, and reading the response body. # ## example: timeout = 1s # # timeout = 5s # # ## List of servers for metrics scraping # ## metrics scrape via HTTP(s) clickhouse interface # ## https://clickhouse.tech/docs/en/interfaces/http/ # ## example: servers = ["http://127.0.0.1:8123","https://custom-server.mdb.yandexcloud.net"] # servers = ["http://127.0.0.1:8123"] # # ## If "auto_discovery"" is "true" plugin tries to connect to all servers available in the cluster # ## with using same "user:password" described in "user" and "password" parameters # ## and get this server hostname list from "system.clusters" table # ## see # ## - https://clickhouse.tech/docs/en/operations/system_tables/#system-clusters # ## - https://clickhouse.tech/docs/en/operations/server_settings/settings/#server_settings_remote_servers # ## - https://clickhouse.tech/docs/en/operations/table_engines/distributed/ # ## - https://clickhouse.tech/docs/en/operations/table_engines/replication/#creating-replicated-tables # ## example: auto_discovery = false # # auto_discovery = true # # ## Filter cluster names in "system.clusters" when "auto_discovery" is "true" # ## when this filter present then "WHERE cluster IN (...)" filter will apply # ## please use only full cluster names here, regexp and glob filters is not allowed # ## for "/etc/clickhouse-server/config.d/remote.xml" # ## # ## # ## # ## # ## clickhouse-ru-1.local9000 # ## clickhouse-ru-2.local9000 # ## # ## # ## clickhouse-eu-1.local9000 # ## clickhouse-eu-2.local9000 # ## # ## # ## # ## # ## # ## # ## example: cluster_include = ["my-own-cluster"] # # cluster_include = [] # # ## Filter cluster names in "system.clusters" when "auto_discovery" is "true" # ## when this filter present then "WHERE cluster NOT IN (...)" filter will apply # ## example: cluster_exclude = ["my-internal-not-discovered-cluster"] # # cluster_exclude = [] # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read metrics from Google PubSub # [[inputs.cloud_pubsub]] # ## Required. Name of Google Cloud Platform (GCP) Project that owns # ## the given PubSub subscription. # project = "my-project" # # ## Required. Name of PubSub subscription to ingest metrics from. # subscription = "my-subscription" # # ## Required. Data format to consume. # ## Each data format has its own unique set of configuration options. # ## Read more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # ## Optional. Filepath for GCP credentials JSON file to authorize calls to # ## PubSub APIs. If not set explicitly, Telegraf will attempt to use # ## Application Default Credentials, which is preferred. # # credentials_file = "path/to/my/creds.json" # # ## Optional. Number of seconds to wait before attempting to restart the # ## PubSub subscription receiver after an unexpected error. # ## If the streaming pull for a PubSub Subscription fails (receiver), # ## the agent attempts to restart receiving messages after this many seconds. # # retry_delay_seconds = 5 # # ## Optional. Maximum byte length of a message to consume. # ## Larger messages are dropped with an error. If less than 0 or unspecified, # ## treated as no limit. # # max_message_len = 1000000 # # ## Optional. Maximum messages to read from PubSub that have not been written # ## to an output. Defaults to 1000. # ## For best throughput set based on the number of metrics within # ## each message and the size of the output's metric_batch_size. # ## # ## For example, if each message contains 10 metrics and the output # ## metric_batch_size is 1000, setting this to 100 will ensure that a # ## full batch is collected and the write is triggered immediately without # ## waiting until the next flush_interval. # # max_undelivered_messages = 1000 # # ## The following are optional Subscription ReceiveSettings in PubSub. # ## Read more about these values: # ## https://godoc.org/cloud.google.com/go/pubsub#ReceiveSettings # # ## Optional. Maximum number of seconds for which a PubSub subscription # ## should auto-extend the PubSub ACK deadline for each message. If less than # ## 0, auto-extension is disabled. # # max_extension = 0 # # ## Optional. Maximum number of unprocessed messages in PubSub # ## (unacknowledged but not yet expired in PubSub). # ## A value of 0 is treated as the default PubSub value. # ## Negative values will be treated as unlimited. # # max_outstanding_messages = 0 # # ## Optional. Maximum size in bytes of unprocessed messages in PubSub # ## (unacknowledged but not yet expired in PubSub). # ## A value of 0 is treated as the default PubSub value. # ## Negative values will be treated as unlimited. # # max_outstanding_bytes = 0 # # ## Optional. Max number of goroutines a PubSub Subscription receiver can spawn # ## to pull messages from PubSub concurrently. This limit applies to each # ## subscription separately and is treated as the PubSub default if less than # ## 1. Note this setting does not limit the number of messages that can be # ## processed concurrently (use "max_outstanding_messages" instead). # # max_receiver_go_routines = 0 # # ## Optional. If true, Telegraf will attempt to base64 decode the # ## PubSub message data before parsing # # base64_data = false # # Google Cloud Pub/Sub Push HTTP listener # [[inputs.cloud_pubsub_push]] # ## Address and port to host HTTP listener on # service_address = ":8080" # # ## Application secret to verify messages originate from Cloud Pub/Sub # # token = "" # # ## Path to listen to. # # path = "/" # # ## Maximum duration before timing out read of the request # # read_timeout = "10s" # ## Maximum duration before timing out write of the response. This should be set to a value # ## large enough that you can send at least 'metric_batch_size' number of messages within the # ## duration. # # write_timeout = "10s" # # ## Maximum allowed http request body size in bytes. # ## 0 means to use the default of 524,288,00 bytes (500 mebibytes) # # max_body_size = "500MB" # # ## Whether to add the pubsub metadata, such as message attributes and subscription as a tag. # # add_meta = false # # ## Optional. Maximum messages to read from PubSub that have not been written # ## to an output. Defaults to 1000. # ## For best throughput set based on the number of metrics within # ## each message and the size of the output's metric_batch_size. # ## # ## For example, if each message contains 10 metrics and the output # ## metric_batch_size is 1000, setting this to 100 will ensure that a # ## full batch is collected and the write is triggered immediately without # ## waiting until the next flush_interval. # # max_undelivered_messages = 1000 # # ## Set one or more allowed client CA certificate file names to # ## enable mutually authenticated TLS connections # # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"] # # ## Add service certificate and key # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # Ingests files in a directory and then moves them to a target directory. # [[inputs.directory_monitor]] # ## The directory to monitor and read files from. # directory = "" # # # ## The directory to move finished files to. # finished_directory = "" # # # ## The directory to move files to upon file error. # ## If not provided, erroring files will stay in the monitored directory. # # error_directory = "" # # # ## The amount of time a file is allowed to sit in the directory before it is picked up. # ## This time can generally be low but if you choose to have a very large file written to the directory and it's potentially slow, # ## set this higher so that the plugin will wait until the file is fully copied to the directory. # # directory_duration_threshold = "50ms" # # # ## A list of the only file names to monitor, if necessary. Supports regex. If left blank, all files are ingested. # # files_to_monitor = ["^.*\.csv"] # # # ## A list of files to ignore, if necessary. Supports regex. # # files_to_ignore = [".DS_Store"] # # # ## Maximum lines of the file to process that have not yet be written by the # ## output. For best throughput set to the size of the output's metric_buffer_limit. # ## Warning: setting this number higher than the output's metric_buffer_limit can cause dropped metrics. # # max_buffered_metrics = 10000 # # # ## The maximum amount of file paths to queue up for processing at once, before waiting until files are processed to find more files. # ## Lowering this value will result in *slightly* less memory use, with a potential sacrifice in speed efficiency, if absolutely necessary. # # file_queue_size = 100000 # # # ## Name a tag containing the name of the file the data was parsed from. Leave empty # ## to disable. Cautious when file name variation is high, this can increase the cardinality # ## significantly. Read more about cardinality here: # ## https://docs.influxdata.com/influxdb/cloud/reference/glossary/#series-cardinality # # file_tag = "" # # # ## The dataformat to be read from the files. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # ## NOTE: We currently only support parsing newline-delimited JSON. See the format here: https://github.com/ndjson/ndjson-spec # data_format = "influx" # # Read logging output from the Docker engine # [[inputs.docker_log]] # ## Docker Endpoint # ## To use TCP, set endpoint = "tcp://[ip]:[port]" # ## To use environment variables (ie, docker-machine), set endpoint = "ENV" # # endpoint = "unix:///var/run/docker.sock" # # ## When true, container logs are read from the beginning; otherwise # ## reading begins at the end of the log. # # from_beginning = false # # ## Timeout for Docker API calls. # # timeout = "5s" # # ## Containers to include and exclude. Globs accepted. # ## Note that an empty array for both will include all containers # # container_name_include = [] # # container_name_exclude = [] # # ## Container states to include and exclude. Globs accepted. # ## When empty only containers in the "running" state will be captured. # # container_state_include = [] # # container_state_exclude = [] # # ## docker labels to include and exclude as tags. Globs accepted. # ## Note that an empty array for both will include all labels as tags # # docker_label_include = [] # # docker_label_exclude = [] # # ## Set the source tag for the metrics to the container ID hostname, eg first 12 chars # source_tag = false # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Azure Event Hubs service input plugin # [[inputs.eventhub_consumer]] # ## The default behavior is to create a new Event Hub client from environment variables. # ## This requires one of the following sets of environment variables to be set: # ## # ## 1) Expected Environment Variables: # ## - "EVENTHUB_CONNECTION_STRING" # ## # ## 2) Expected Environment Variables: # ## - "EVENTHUB_NAMESPACE" # ## - "EVENTHUB_NAME" # ## - "EVENTHUB_KEY_NAME" # ## - "EVENTHUB_KEY_VALUE" # # ## 3) Expected Environment Variables: # ## - "EVENTHUB_NAMESPACE" # ## - "EVENTHUB_NAME" # ## - "AZURE_TENANT_ID" # ## - "AZURE_CLIENT_ID" # ## - "AZURE_CLIENT_SECRET" # # ## Uncommenting the option below will create an Event Hub client based solely on the connection string. # ## This can either be the associated environment variable or hard coded directly. # ## If this option is uncommented, environment variables will be ignored. # ## Connection string should contain EventHubName (EntityPath) # # connection_string = "" # # ## Set persistence directory to a valid folder to use a file persister instead of an in-memory persister # # persistence_dir = "" # # ## Change the default consumer group # # consumer_group = "" # # ## By default the event hub receives all messages present on the broker, alternative modes can be set below. # ## The timestamp should be in https://github.com/toml-lang/toml#offset-date-time format (RFC 3339). # ## The 3 options below only apply if no valid persister is read from memory or file (e.g. first run). # # from_timestamp = # # latest = true # # ## Set a custom prefetch count for the receiver(s) # # prefetch_count = 1000 # # ## Add an epoch to the receiver(s) # # epoch = 0 # # ## Change to set a custom user agent, "telegraf" is used by default # # user_agent = "telegraf" # # ## To consume from a specific partition, set the partition_ids option. # ## An empty array will result in receiving from all partitions. # # partition_ids = ["0","1"] # # ## Max undelivered messages # # max_undelivered_messages = 1000 # # ## Set either option below to true to use a system property as timestamp. # ## You have the choice between EnqueuedTime and IoTHubEnqueuedTime. # ## It is recommended to use this setting when the data itself has no timestamp. # # enqueued_time_as_ts = true # # iot_hub_enqueued_time_as_ts = true # # ## Tags or fields to create from keys present in the application property bag. # ## These could for example be set by message enrichments in Azure IoT Hub. # # application_property_tags = [] # # application_property_fields = [] # # ## Tag or field name to use for metadata # ## By default all metadata is disabled # # sequence_number_field = "SequenceNumber" # # enqueued_time_field = "EnqueuedTime" # # offset_field = "Offset" # # partition_id_tag = "PartitionID" # # partition_key_tag = "PartitionKey" # # iot_hub_device_connection_id_tag = "IoTHubDeviceConnectionID" # # iot_hub_auth_generation_id_tag = "IoTHubAuthGenerationID" # # iot_hub_connection_auth_method_tag = "IoTHubConnectionAuthMethod" # # iot_hub_connection_module_id_tag = "IoTHubConnectionModuleID" # # iot_hub_enqueued_time_field = "IoTHubEnqueuedTime" # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # Run executable as long-running input plugin # [[inputs.execd]] # ## Program to run as daemon # command = ["telegraf-smartctl", "-d", "/dev/sda"] # # ## Define how the process is signaled on each collection interval. # ## Valid values are: # ## "none" : Do not signal anything. # ## The process must output metrics by itself. # ## "STDIN" : Send a newline on STDIN. # ## "SIGHUP" : Send a HUP signal. Not available on Windows. # ## "SIGUSR1" : Send a USR1 signal. Not available on Windows. # ## "SIGUSR2" : Send a USR2 signal. Not available on Windows. # signal = "none" # # ## Delay before the process is restarted after an unexpected termination # restart_delay = "10s" # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # gNMI telemetry input plugin # [[inputs.gnmi]] # ## Address and port of the gNMI GRPC server # addresses = ["10.49.234.114:57777"] # # ## define credentials # username = "cisco" # password = "cisco" # # ## gNMI encoding requested (one of: "proto", "json", "json_ietf", "bytes") # # encoding = "proto" # # ## redial in case of failures after # redial = "10s" # # ## enable client-side TLS and define CA to authenticate the device # # enable_tls = true # # tls_ca = "/etc/telegraf/ca.pem" # # insecure_skip_verify = true # # ## define client-side TLS certificate & key to authenticate to the device # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # # ## gNMI subscription prefix (optional, can usually be left empty) # ## See: https://github.com/openconfig/reference/blob/master/rpc/gnmi/gnmi-specification.md#222-paths # # origin = "" # # prefix = "" # # target = "" # # ## Define additional aliases to map telemetry encoding paths to simple measurement names # #[inputs.gnmi.aliases] # # ifcounters = "openconfig:/interfaces/interface/state/counters" # # [[inputs.gnmi.subscription]] # ## Name of the measurement that will be emitted # name = "ifcounters" # # ## Origin and path of the subscription # ## See: https://github.com/openconfig/reference/blob/master/rpc/gnmi/gnmi-specification.md#222-paths # ## # ## origin usually refers to a (YANG) data model implemented by the device # ## and path to a specific substructure inside it that should be subscribed to (similar to an XPath) # ## YANG models can be found e.g. here: https://github.com/YangModels/yang/tree/master/vendor/cisco/xr # origin = "openconfig-interfaces" # path = "/interfaces/interface/state/counters" # # # Subscription mode (one of: "target_defined", "sample", "on_change") and interval # subscription_mode = "sample" # sample_interval = "10s" # # ## Suppress redundant transmissions when measured values are unchanged # # suppress_redundant = false # # ## If suppression is enabled, send updates at least every X seconds anyway # # heartbeat_interval = "60s" # # #[[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 _. # # tag_only = true # # Accept metrics over InfluxDB 1.x HTTP API # [[inputs.http_listener]] # ## DEPRECATED: The 'http_listener' plugin is deprecated in version 1.9.0, has been renamed to 'influxdb_listener', use 'inputs.influxdb_listener' or 'inputs.http_listener_v2' instead. # ## Address and port to host InfluxDB listener on # service_address = ":8186" # # ## maximum duration before timing out read of the request # read_timeout = "10s" # ## maximum duration before timing out write of the response # write_timeout = "10s" # # ## Maximum allowed HTTP request body size in bytes. # ## 0 means to use the default of 32MiB. # max_body_size = "32MiB" # # ## Optional tag name used to store the database. # ## If the write has a database in the query string then it will be kept in this tag name. # ## This tag can be used in downstream outputs. # ## The default value of nothing means it will be off and the database will not be recorded. # # database_tag = "" # # ## If set the retention policy specified in the write query will be added as # ## the value of this tag name. # # retention_policy_tag = "" # # ## Set one or more allowed client CA certificate file names to # ## enable mutually authenticated TLS connections # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"] # # ## Add service certificate and key # tls_cert = "/etc/telegraf/cert.pem" # tls_key = "/etc/telegraf/key.pem" # # ## Optional username and password to accept for HTTP basic authentication. # ## You probably want to make sure you have TLS configured above for this. # # basic_username = "foobar" # # basic_password = "barfoo" # # ## Influx line protocol parser # ## 'internal' is the default. 'upstream' is a newer parser that is faster # ## and more memory efficient. # # parser_type = "internal" # # 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" # # Accept metrics over InfluxDB 1.x HTTP API # [[inputs.influxdb_listener]] # ## Address and port to host InfluxDB listener on # service_address = ":8186" # # ## maximum duration before timing out read of the request # read_timeout = "10s" # ## maximum duration before timing out write of the response # write_timeout = "10s" # # ## Maximum allowed HTTP request body size in bytes. # ## 0 means to use the default of 32MiB. # max_body_size = "32MiB" # # ## Optional tag name used to store the database. # ## If the write has a database in the query string then it will be kept in this tag name. # ## This tag can be used in downstream outputs. # ## The default value of nothing means it will be off and the database will not be recorded. # # database_tag = "" # # ## If set the retention policy specified in the write query will be added as # ## the value of this tag name. # # retention_policy_tag = "" # # ## Set one or more allowed client CA certificate file names to # ## enable mutually authenticated TLS connections # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"] # # ## Add service certificate and key # tls_cert = "/etc/telegraf/cert.pem" # tls_key = "/etc/telegraf/key.pem" # # ## Optional username and password to accept for HTTP basic authentication. # ## You probably want to make sure you have TLS configured above for this. # # basic_username = "foobar" # # basic_password = "barfoo" # # ## Influx line protocol parser # ## 'internal' is the default. 'upstream' is a newer parser that is faster # ## and more memory efficient. # # parser_type = "internal" # # 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" # # 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 = "" # # Intel Resource Director Technology plugin # [[inputs.intel_rdt]] # ## Optionally set sampling interval to Nx100ms. # ## This value is propagated to pqos tool. Interval format is defined by pqos itself. # ## If not provided or provided 0, will be set to 10 = 10x100ms = 1s. # # sampling_interval = "10" # # ## Optionally specify the path to pqos executable. # ## If not provided, auto discovery will be performed. # # pqos_path = "/usr/local/bin/pqos" # # ## Optionally specify if IPC and LLC_Misses metrics shouldn't be propagated. # ## If not provided, default value is false. # # shortened_metrics = false # # ## Specify the list of groups of CPU core(s) to be provided as pqos input. # ## Mandatory if processes aren't set and forbidden if processes are specified. # ## e.g. ["0-3", "4,5,6"] or ["1-3,4"] # # cores = ["0-3"] # # ## Specify the list of processes for which Metrics will be collected. # ## Mandatory if cores aren't set and forbidden if cores are specified. # ## e.g. ["qemu", "pmd"] # # processes = ["process"] # # ## Specify if the pqos process should be called with sudo. # ## Mandatory if the telegraf process does not run as root. # # use_sudo = false # # Read JTI OpenConfig Telemetry from listed sensors # [[inputs.jti_openconfig_telemetry]] # ## List of device addresses to collect telemetry from # servers = ["localhost:1883"] # # ## Authentication details. Username and password are must if device expects # ## authentication. Client ID must be unique when connecting from multiple instances # ## of telegraf to the same device # username = "user" # password = "pass" # client_id = "telegraf" # # ## Frequency to get data # sample_frequency = "1000ms" # # ## Sensors to subscribe for # ## A identifier for each sensor can be provided in path by separating with space # ## Else sensor path will be used as identifier # ## When identifier is used, we can provide a list of space separated sensors. # ## A single subscription will be created with all these sensors and data will # ## be saved to measurement with this identifier name # sensors = [ # "/interfaces/", # "collection /components/ /lldp", # ] # # ## We allow specifying sensor group level reporting rate. To do this, specify the # ## reporting rate in Duration at the beginning of sensor paths / collection # ## name. For entries without reporting rate, we use configured sample frequency # sensors = [ # "1000ms customReporting /interfaces /lldp", # "2000ms collection /components", # "/interfaces", # ] # # ## Optional TLS Config # # enable_tls = true # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Delay between retry attempts of failed RPC calls or streams. Defaults to 1000ms. # ## Failed streams/calls will not be retried if 0 is provided # retry_delay = "1000ms" # # ## To treat all string values as tags, set this to true # str_as_tags = false # # Read metrics from Kafka topics # [[inputs.kafka_consumer]] # ## Kafka brokers. # brokers = ["localhost:9092"] # # ## Topics to consume. # topics = ["telegraf"] # # ## When set this tag will be added to all metrics with the topic as the value. # # topic_tag = "" # # ## Optional Client id # # client_id = "Telegraf" # # ## Set the minimal supported Kafka version. Setting this enables the use of new # ## Kafka features and APIs. Must be 0.10.2.0 or greater. # ## ex: version = "1.1.0" # # version = "" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## SASL authentication credentials. These settings should typically be used # ## with TLS encryption enabled # # sasl_username = "kafka" # # sasl_password = "secret" # # ## Optional SASL: # ## one of: OAUTHBEARER, PLAIN, SCRAM-SHA-256, SCRAM-SHA-512, GSSAPI # ## (defaults to PLAIN) # # sasl_mechanism = "" # # ## used if sasl_mechanism is GSSAPI (experimental) # # sasl_gssapi_service_name = "" # # ## One of: KRB5_USER_AUTH and KRB5_KEYTAB_AUTH # # sasl_gssapi_auth_type = "KRB5_USER_AUTH" # # sasl_gssapi_kerberos_config_path = "/" # # sasl_gssapi_realm = "realm" # # sasl_gssapi_key_tab_path = "" # # sasl_gssapi_disable_pafxfast = false # # ## used if sasl_mechanism is OAUTHBEARER (experimental) # # sasl_access_token = "" # # ## SASL protocol version. When connecting to Azure EventHub set to 0. # # sasl_version = 1 # # # Disable Kafka metadata full fetch # # metadata_full = false # # ## Name of the consumer group. # # consumer_group = "telegraf_metrics_consumers" # # ## Compression codec represents the various compression codecs recognized by # ## Kafka in messages. # ## 0 : None # ## 1 : Gzip # ## 2 : Snappy # ## 3 : LZ4 # ## 4 : ZSTD # # compression_codec = 0 # # ## Initial offset position; one of "oldest" or "newest". # # offset = "oldest" # # ## Consumer group partition assignment strategy; one of "range", "roundrobin" or "sticky". # # balance_strategy = "range" # # ## Maximum length of a message to consume, in bytes (default 0/unlimited); # ## larger messages are dropped # max_message_len = 1000000 # # ## Maximum messages to read from the broker that have not been written by an # ## output. For best throughput set based on the number of metrics within # ## each message and the size of the output's metric_batch_size. # ## # ## For example, if each message from the queue contains 10 metrics and the # ## output metric_batch_size is 1000, setting this to 100 will ensure that a # ## full batch is collected and the write is triggered immediately without # ## waiting until the next flush_interval. # # max_undelivered_messages = 1000 # # ## Maximum amount of time the consumer should take to process messages. If # ## the debug log prints messages from sarama about 'abandoning subscription # ## to [topic] because consuming was taking too long', increase this value to # ## longer than the time taken by the output plugin(s). # ## # ## Note that the effective timeout could be between 'max_processing_time' and # ## '2 * max_processing_time'. # # max_processing_time = "100ms" # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # Read metrics from Kafka topic(s) # [[inputs.kafka_consumer_legacy]] # ## 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+. # ## topic(s) to consume # topics = ["telegraf"] # # ## an array of Zookeeper connection strings # zookeeper_peers = ["localhost:2181"] # # ## Zookeeper Chroot # zookeeper_chroot = "" # # ## the name of the consumer group # consumer_group = "telegraf_metrics_consumers" # # ## Offset (must be either "oldest" or "newest") # offset = "oldest" # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # ## Maximum length of a message to consume, in bytes (default 0/unlimited); # ## larger messages are dropped # max_message_len = 65536 # # Configuration for the AWS Kinesis input. # [[inputs.kinesis_consumer]] # ## Amazon REGION of kinesis endpoint. # region = "ap-southeast-2" # # ## Amazon Credentials # ## Credentials are loaded in the following order # ## 1) Web identity provider credentials via STS if role_arn and web_identity_token_file are specified # ## 2) Assumed credentials via STS if role_arn is specified # ## 3) explicit credentials from 'access_key' and 'secret_key' # ## 4) shared profile from 'profile' # ## 5) environment variables # ## 6) shared credentials file # ## 7) EC2 Instance Profile # # access_key = "" # # secret_key = "" # # token = "" # # role_arn = "" # # web_identity_token_file = "" # # role_session_name = "" # # profile = "" # # shared_credential_file = "" # # ## Endpoint to make request against, the correct endpoint is automatically # ## determined and this option should only be set if you wish to override the # ## default. # ## ex: endpoint_url = "http://localhost:8000" # # endpoint_url = "" # # ## Kinesis StreamName must exist prior to starting telegraf. # streamname = "StreamName" # # ## Shard iterator type (only 'TRIM_HORIZON' and 'LATEST' currently supported) # # shard_iterator_type = "TRIM_HORIZON" # # ## Maximum messages to read from the broker that have not been written by an # ## output. For best throughput set based on the number of metrics within # ## each message and the size of the output's metric_batch_size. # ## # ## For example, if each message from the queue contains 10 metrics and the # ## output metric_batch_size is 1000, setting this to 100 will ensure that a # ## full batch is collected and the write is triggered immediately without # ## waiting until the next flush_interval. # # max_undelivered_messages = 1000 # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # ## # ## The content encoding of the data from kinesis # ## If you are processing a cloudwatch logs kinesis stream then set this to "gzip" # ## as AWS compresses cloudwatch log data before it is sent to kinesis (aws # ## also base64 encodes the zip byte data before pushing to the stream. The base64 decoding # ## is done automatically by the golang sdk, as data is read from kinesis) # ## # # content_encoding = "identity" # # ## Optional # ## Configuration for a dynamodb checkpoint # [inputs.kinesis_consumer.checkpoint_dynamodb] # ## unique name for this consumer # app_name = "default" # table_name = "default" # # Listener capable of handling KNX bus messages provided through a KNX-IP Interface. # [[inputs.knx_listener]] # ## Type of KNX-IP interface. # ## Can be either "tunnel" or "router". # # service_type = "tunnel" # # ## Address of the KNX-IP interface. # service_address = "localhost:3671" # # ## Measurement definition(s) # # [[inputs.knx_listener.measurement]] # # ## Name of the measurement # # name = "temperature" # # ## Datapoint-Type (DPT) of the KNX messages # # dpt = "9.001" # # ## List of Group-Addresses (GAs) assigned to the measurement # # addresses = ["5/5/1"] # # # [[inputs.knx_listener.measurement]] # # name = "illumination" # # dpt = "9.004" # # addresses = ["5/5/3"] # # Read metrics off Arista LANZ, via socket # [[inputs.lanz]] # ## URL to Arista LANZ endpoint # servers = [ # "tcp://127.0.0.1:50001" # ] # # Stream and parse log file(s). # [[inputs.logparser]] # ## DEPRECATED: The 'logparser' plugin is deprecated in version 1.15.0, use 'inputs.tail' with 'grok' data format instead. # ## Log files to parse. # ## These accept standard unix glob matching rules, but with the addition of # ## ** as a "super asterisk". ie: # ## /var/log/**.log -> recursively find all .log files in /var/log # ## /var/log/*/*.log -> find all .log files with a parent dir in /var/log # ## /var/log/apache.log -> only tail the apache log file # files = ["/var/log/apache/access.log"] # # ## Read files that currently exist from the beginning. Files that are created # ## while telegraf is running (and that match the "files" globs) will always # ## be read from the beginning. # from_beginning = false # # ## Method used to watch for file updates. Can be either "inotify" or "poll". # # watch_method = "inotify" # # ## Parse logstash-style "grok" patterns: # [inputs.logparser.grok] # ## This is a list of patterns to check the given log file(s) for. # ## Note that adding patterns here increases processing time. The most # ## efficient configuration is to have one pattern per logparser. # ## Other common built-in patterns are: # ## %{COMMON_LOG_FORMAT} (plain apache & nginx access logs) # ## %{COMBINED_LOG_FORMAT} (access logs + referrer & agent) # patterns = ["%{COMBINED_LOG_FORMAT}"] # # ## Name of the outputted measurement name. # measurement = "apache_access_log" # # ## Full path(s) to custom pattern files. # custom_pattern_files = [] # # ## Custom patterns can also be defined here. Put one pattern per line. # custom_patterns = ''' # ''' # # ## Timezone allows you to provide an override for timestamps that # ## don't already include an offset # ## e.g. 04/06/2016 12:41:45 data one two 5.43µs # ## # ## Default: "" which renders UTC # ## Options are as follows: # ## 1. Local -- interpret based on machine localtime # ## 2. "Canada/Eastern" -- Unix TZ values like those found in https://en.wikipedia.org/wiki/List_of_tz_database_time_zones # ## 3. UTC -- or blank/unspecified, will return timestamp in UTC # # timezone = "Canada/Eastern" # # ## When set to "disable", timestamp will not incremented if there is a # ## duplicate. # # unique_timestamp = "auto" # # Read metrics from MQTT topic(s) # [[inputs.mqtt_consumer]] # ## Broker URLs for the MQTT server or cluster. To connect to multiple # ## clusters or standalone servers, use a separate plugin instance. # ## example: servers = ["tcp://localhost:1883"] # ## servers = ["ssl://localhost:1883"] # ## servers = ["ws://localhost:1883"] # servers = ["tcp://127.0.0.1:1883"] # ## Topics that will be subscribed to. # topics = [ # "telegraf/host01/cpu", # "telegraf/+/mem", # "sensors/#", # ] # # topic_fields = "_/_/_/temperature" # ## The message topic will be stored in a tag specified by this value. If set # ## to the empty string no topic tag will be created. # # topic_tag = "topic" # ## QoS policy for messages # ## 0 = at most once # ## 1 = at least once # ## 2 = exactly once # ## # ## When using a QoS of 1 or 2, you should enable persistent_session to allow # ## resuming unacknowledged messages. # # qos = 0 # ## Connection timeout for initial connection in seconds # # connection_timeout = "30s" # ## Maximum messages to read from the broker that have not been written by an # ## output. For best throughput set based on the number of metrics within # ## each message and the size of the output's metric_batch_size. # ## # ## For example, if each message from the queue contains 10 metrics and the # ## output metric_batch_size is 1000, setting this to 100 will ensure that a # ## full batch is collected and the write is triggered immediately without # ## waiting until the next flush_interval. # # max_undelivered_messages = 1000 # ## Persistent session disables clearing of the client session on connection. # ## In order for this option to work you must also set client_id to identify # ## the client. To receive messages that arrived while the client is offline, # ## also set the qos option to 1 or 2 and don't forget to also set the QoS when # ## publishing. # # persistent_session = false # ## If unset, a random client ID will be generated. # # client_id = "" # ## Username and password to connect MQTT server. # # username = "telegraf" # # password = "metricsmetricsmetricsmetrics" # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # ## Enable extracting tag values from MQTT topics # ## _ denotes an ignored entry in the topic path # ## [[inputs.mqtt_consumer.topic_parsing]] # ## topic = "" # ## measurement = "" # ## tags = "" # ## fields = "" # ## [inputs.mqtt_consumer.topic_parsing.types] # ## # # Read metrics from NATS subject(s) # [[inputs.nats_consumer]] # ## urls of NATS servers # servers = ["nats://localhost:4222"] # # ## subject(s) to consume # subjects = ["telegraf"] # # ## name a queue group # queue_group = "telegraf_consumers" # # ## Optional credentials # # username = "" # # password = "" # # ## Optional NATS 2.0 and NATS NGS compatible user credentials # # credentials = "/etc/telegraf/nats.creds" # # ## Use Transport Layer Security # # secure = false # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Sets the limits for pending msgs and bytes for each subscription # ## These shouldn't need to be adjusted except in very high throughput scenarios # # pending_message_limit = 65536 # # pending_bytes_limit = 67108864 # # ## Maximum messages to read from the broker that have not been written by an # ## output. For best throughput set based on the number of metrics within # ## each message and the size of the output's metric_batch_size. # ## # ## For example, if each message from the queue contains 10 metrics and the # ## output metric_batch_size is 1000, setting this to 100 will ensure that a # ## full batch is collected and the write is triggered immediately without # ## waiting until the next flush_interval. # # max_undelivered_messages = 1000 # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # Read NSQ topic for metrics. # [[inputs.nsq_consumer]] # ## An array representing the NSQD TCP HTTP Endpoints # nsqd = ["localhost:4150"] # # ## An array representing the NSQLookupd HTTP Endpoints # nsqlookupd = ["localhost:4161"] # topic = "telegraf" # channel = "consumer" # max_in_flight = 100 # # ## Maximum messages to read from the broker that have not been written by an # ## output. For best throughput set based on the number of metrics within # ## each message and the size of the output's metric_batch_size. # ## # ## For example, if each message from the queue contains 10 metrics and the # ## output metric_batch_size is 1000, setting this to 100 will ensure that a # ## full batch is collected and the write is triggered immediately without # ## waiting until the next flush_interval. # # max_undelivered_messages = 1000 # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # Receive OpenTelemetry traces, metrics, and logs over gRPC # [[inputs.opentelemetry]] # ## Override the default (0.0.0.0:4317) destination OpenTelemetry gRPC service # ## address:port # # service_address = "0.0.0.0:4317" # # ## Override the default (5s) new connection timeout # # timeout = "5s" # # ## Override the default (prometheus-v1) metrics schema. # ## Supports: "prometheus-v1", "prometheus-v2" # ## For more information about the alternatives, read the Prometheus input # ## plugin notes. # # metrics_schema = "prometheus-v1" # # ## Optional TLS Config. # ## For advanced options: https://github.com/influxdata/telegraf/blob/v1.18.3/docs/TLS.md # ## # ## Set one or more allowed client CA certificate file names to # ## enable mutually authenticated TLS connections. # # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"] # ## Add service certificate and key. # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # # Read metrics from one or many pgbouncer servers # [[inputs.pgbouncer]] # ## specify address via a url matching: # ## postgres://[pqgotest[:password]]@localhost[/dbname]\ # ## ?sslmode=[disable|verify-ca|verify-full] # ## or a simple string: # ## host=localhost user=pqgotest password=... sslmode=... dbname=app_production # ## # ## All connection parameters are optional. # ## # address = "host=localhost user=pgbouncer sslmode=disable" # # Read metrics from one or many postgresql servers # [[inputs.postgresql]] # ## specify address via a url matching: # ## postgres://[pqgotest[:password]]@localhost[/dbname]\ # ## ?sslmode=[disable|verify-ca|verify-full] # ## or a simple string: # ## host=localhost user=pqgotest password=... sslmode=... dbname=app_production # ## # ## All connection parameters are optional. # ## # ## Without the dbname parameter, the driver will default to a database # ## with the same name as the user. This dbname is just for instantiating a # ## connection with the server and doesn't restrict the databases we are trying # ## to grab metrics for. # ## # address = "host=localhost user=postgres sslmode=disable" # ## A custom name for the database that will be used as the "server" tag in the # ## measurement output. If not specified, a default one generated from # ## the connection address is used. # # outputaddress = "db01" # # ## connection configuration. # ## maxlifetime - specify the maximum lifetime of a connection. # ## default is forever (0s) # max_lifetime = "0s" # # ## A list of databases to explicitly ignore. If not specified, metrics for all # ## databases are gathered. Do NOT use with the 'databases' option. # # ignored_databases = ["postgres", "template0", "template1"] # # ## A list of databases to pull metrics about. If not specified, metrics for all # ## databases are gathered. Do NOT use with the 'ignored_databases' option. # # databases = ["app_production", "testing"] # # ## Whether to use prepared statements when connecting to the database. # ## This should be set to false when connecting through a PgBouncer instance # ## with pool_mode set to transaction. # # prepared_statements = true # # Read metrics from one or many postgresql servers # [[inputs.postgresql_extensible]] # ## specify address via a url matching: # ## postgres://[pqgotest[:password]]@localhost[/dbname]\ # ## ?sslmode=[disable|verify-ca|verify-full] # ## or a simple string: # ## host=localhost user=pqgotest password=... sslmode=... dbname=app_production # # # ## All connection parameters are optional. # # ## Without the dbname parameter, the driver will default to a database # ## with the same name as the user. This dbname is just for instantiating a # ## connection with the server and doesn't restrict the databases we are trying # ## to grab metrics for. # # # address = "host=localhost user=postgres sslmode=disable" # # ## connection configuration. # ## maxlifetime - specify the maximum lifetime of a connection. # ## default is forever (0s) # max_lifetime = "0s" # # ## Whether to use prepared statements when connecting to the database. # ## This should be set to false when connecting through a PgBouncer instance # ## with pool_mode set to transaction. # # prepared_statements = true # # ## A list of databases to pull metrics about. If not specified, metrics for all # ## databases are gathered. # ## databases = ["app_production", "testing"] # # # ## A custom name for the database that will be used as the "server" tag in the # ## measurement output. If not specified, a default one generated from # ## the connection address is used. # # outputaddress = "db01" # # # ## Define the toml config where the sql queries are stored # ## New queries can be added, if the withdbname is set to true and there is no # ## databases defined in the 'databases field', the sql query is ended by a # ## 'is not null' in order to make the query succeed. # ## Example : # ## The sqlquery : "SELECT * FROM pg_stat_database where datname" become # ## "SELECT * FROM pg_stat_database where datname IN ('postgres', 'pgbench')" # ## because the databases variable was set to ['postgres', 'pgbench' ] and the # ## withdbname was true. Be careful that if the withdbname is set to false you # ## don't have to define the where clause (aka with the dbname) the tagvalue # ## field is used to define custom tags (separated by commas) # ## The optional "measurement" value can be used to override the default # ## output measurement name ("postgresql"). # ## # ## The script option can be used to specify the .sql file path. # ## If script and sqlquery options specified at same time, sqlquery will be used # ## # ## the tagvalue field is used to define custom tags (separated by comas). # ## the query is expected to return columns which match the names of the # ## defined tags. The values in these columns must be of a string-type, # ## a number-type or a blob-type. # ## # ## The timestamp field is used to override the data points timestamp value. By # ## default, all rows inserted with current time. By setting a timestamp column, # ## the row will be inserted with that column's value. # ## # ## Structure : # ## [[inputs.postgresql_extensible.query]] # ## sqlquery string # ## version string # ## withdbname boolean # ## tagvalue string (comma separated) # ## measurement string # ## timestamp string # [[inputs.postgresql_extensible.query]] # sqlquery="SELECT * FROM pg_stat_database" # version=901 # withdbname=false # tagvalue="" # measurement="" # [[inputs.postgresql_extensible.query]] # sqlquery="SELECT * FROM pg_stat_bgwriter" # version=901 # withdbname=false # tagvalue="postgresql.stats" # # Read metrics from one or many prometheus clients # [[inputs.prometheus]] # ## An array of urls to scrape metrics from. # urls = ["http://localhost:9100/metrics"] # # ## Metric version controls the mapping from Prometheus metrics into # ## Telegraf metrics. When using the prometheus_client output, use the same # ## value in both plugins to ensure metrics are round-tripped without # ## modification. # ## # ## example: metric_version = 1; # ## metric_version = 2; recommended version # # metric_version = 1 # # ## Url tag name (tag containing scrapped url. optional, default is "url") # # url_tag = "url" # # ## Whether the timestamp of the scraped metrics will be ignored. # ## If set to true, the gather time will be used. # # ignore_timestamp = false # # ## An array of Kubernetes services to scrape metrics from. # # kubernetes_services = ["http://my-service-dns.my-namespace:9100/metrics"] # # ## Kubernetes config file to create client from. # # kube_config = "/path/to/kubernetes.config" # # ## Scrape Kubernetes pods for the following prometheus annotations: # ## - prometheus.io/scrape: Enable scraping for this pod # ## - prometheus.io/scheme: If the metrics endpoint is secured then you will need to # ## set this to 'https' & most likely set the tls config. # ## - prometheus.io/path: If the metrics path is not /metrics, define it with this annotation. # ## - prometheus.io/port: If port is not 9102 use this annotation # # monitor_kubernetes_pods = true # ## Get the list of pods to scrape with either the scope of # ## - cluster: the kubernetes watch api (default, no need to specify) # ## - node: the local cadvisor api; for scalability. Note that the config node_ip or the environment variable NODE_IP must be set to the host IP. # # pod_scrape_scope = "cluster" # ## Only for node scrape scope: node IP of the node that telegraf is running on. # ## Either this config or the environment variable NODE_IP must be set. # # node_ip = "10.180.1.1" # ## Only for node scrape scope: interval in seconds for how often to get updated pod list for scraping. # ## Default is 60 seconds. # # pod_scrape_interval = 60 # ## Restricts Kubernetes monitoring to a single namespace # ## ex: monitor_kubernetes_pods_namespace = "default" # # monitor_kubernetes_pods_namespace = "" # # label selector to target pods which have the label # # kubernetes_label_selector = "env=dev,app=nginx" # # field selector to target pods # # eg. To scrape pods on a specific node # # kubernetes_field_selector = "spec.nodeName=$HOSTNAME" # # # cache refresh interval to set the interval for re-sync of pods list. # # Default is 60 minutes. # # cache_refresh_interval = 60 # # ## Scrape Services available in Consul Catalog # # [inputs.prometheus.consul] # # enabled = true # # agent = "http://localhost:8500" # # query_interval = "5m" # # # [[inputs.prometheus.consul.query]] # # name = "a service name" # # tag = "a service tag" # # url = 'http://{{if ne .ServiceAddress ""}}{{.ServiceAddress}}{{else}}{{.Address}}{{end}}:{{.ServicePort}}/{{with .ServiceMeta.metrics_path}}{{.}}{{else}}metrics{{end}}' # # [inputs.prometheus.consul.query.tags] # # host = "{{.Node}}" # # ## Use bearer token for authorization. ('bearer_token' takes priority) # # bearer_token = "/path/to/bearer/token" # ## OR # # bearer_token_string = "abc_123" # # ## HTTP Basic Authentication username and password. ('bearer_token' and # ## 'bearer_token_string' take priority) # # username = "" # # password = "" # # ## Specify timeout duration for slower prometheus clients (default is 3s) # # response_timeout = "3s" # # ## Optional TLS Config # # tls_ca = /path/to/cafile # # tls_cert = /path/to/certfile # # tls_key = /path/to/keyfile # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # RAS plugin exposes counter metrics for Machine Check Errors provided by RASDaemon (sqlite3 output is required). # [[inputs.ras]] # ## Optional path to RASDaemon sqlite3 database. # ## Default: /var/lib/rasdaemon/ras-mc_event.db # # db_path = "" # # Riemann protobuff listener. # [[inputs.riemann_listener]] # ## URL to listen on. # ## Default is "tcp://:5555" # # service_address = "tcp://:8094" # # service_address = "tcp://127.0.0.1:http" # # service_address = "tcp4://:8094" # # service_address = "tcp6://:8094" # # service_address = "tcp6://[2001:db8::1]:8094" # # ## Maximum number of concurrent connections. # ## 0 (default) is unlimited. # # max_connections = 1024 # ## Read timeout. # ## 0 (default) is unlimited. # # read_timeout = "30s" # ## Optional TLS configuration. # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Enables client authentication if set. # # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"] # ## Maximum socket buffer size (in bytes when no unit specified). # # read_buffer_size = "64KiB" # ## Period between keep alive probes. # ## 0 disables keep alive probes. # ## Defaults to the OS configuration. # # keep_alive_period = "5m" # # SFlow V5 Protocol Listener # [[inputs.sflow]] # ## Address to listen for sFlow packets. # ## example: service_address = "udp://:6343" # ## service_address = "udp4://:6343" # ## service_address = "udp6://:6343" # service_address = "udp://:6343" # # ## Set the size of the operating system's receive buffer. # ## example: read_buffer_size = "64KiB" # # read_buffer_size = "" # # Receive SNMP traps # [[inputs.snmp_trap]] # ## Transport, local address, and port to listen on. Transport must # ## be "udp://". Omit local address to listen on all interfaces. # ## example: "udp://127.0.0.1:1234" # ## # ## Special permissions may be required to listen on a port less than # ## 1024. See README.md for details # ## # # service_address = "udp://:162" # ## # ## Path to mib files # # path = ["/usr/share/snmp/mibs"] # ## # ## Snmp version, defaults to 2c # # version = "2c" # ## SNMPv3 authentication and encryption options. # ## # ## Security Name. # # sec_name = "myuser" # ## Authentication protocol; one of "MD5", "SHA" or "". # # auth_protocol = "MD5" # ## Authentication password. # # auth_password = "pass" # ## Security Level; one of "noAuthNoPriv", "authNoPriv", or "authPriv". # # sec_level = "authNoPriv" # ## Privacy protocol used for encrypted messages; one of "DES", "AES", "AES192", "AES192C", "AES256", "AES256C" or "". # # priv_protocol = "" # ## Privacy password used for encrypted messages. # # priv_password = "" # # Generic socket listener capable of handling multiple socket types. # [[inputs.socket_listener]] # ## URL to listen on # # service_address = "tcp://:8094" # # service_address = "tcp://127.0.0.1:http" # # service_address = "tcp4://:8094" # # service_address = "tcp6://:8094" # # service_address = "tcp6://[2001:db8::1]:8094" # # service_address = "udp://:8094" # # service_address = "udp4://:8094" # # service_address = "udp6://:8094" # # service_address = "unix:///tmp/telegraf.sock" # # service_address = "unixgram:///tmp/telegraf.sock" # # ## Change the file mode bits on unix sockets. These permissions may not be # ## respected by some platforms, to safely restrict write permissions it is best # ## to place the socket into a directory that has previously been created # ## with the desired permissions. # ## ex: socket_mode = "777" # # socket_mode = "" # # ## Maximum number of concurrent connections. # ## Only applies to stream sockets (e.g. TCP). # ## 0 (default) is unlimited. # # max_connections = 1024 # # ## Read timeout. # ## Only applies to stream sockets (e.g. TCP). # ## 0 (default) is unlimited. # # read_timeout = "30s" # # ## Optional TLS configuration. # ## Only applies to stream sockets (e.g. TCP). # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Enables client authentication if set. # # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"] # # ## Maximum socket buffer size (in bytes when no unit specified). # ## For stream sockets, once the buffer fills up, the sender will start backing up. # ## For datagram sockets, once the buffer fills up, metrics will start dropping. # ## Defaults to the OS default. # # read_buffer_size = "64KiB" # # ## Period between keep alive probes. # ## Only applies to TCP sockets. # ## 0 disables keep alive probes. # ## Defaults to the OS configuration. # # keep_alive_period = "5m" # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # # data_format = "influx" # # ## Content encoding for message payloads, can be set to "gzip" to or # ## "identity" to apply no encoding. # # content_encoding = "identity" # # Read metrics from SQL queries # [[inputs.sql]] # ## Database Driver # ## See https://github.com/influxdata/telegraf/blob/master/docs/SQL_DRIVERS_INPUT.md for # ## a list of supported drivers. # driver = "mysql" # # ## Data source name for connecting # ## The syntax and supported options depends on selected driver. # dsn = "username:password@mysqlserver:3307/dbname?param=value" # # ## Timeout for any operation # ## Note that the timeout for queries is per query not per gather. # # timeout = "5s" # # ## Connection time limits # ## By default the maximum idle time and maximum lifetime of a connection is unlimited, i.e. the connections # ## will not be closed automatically. If you specify a positive time, the connections will be closed after # ## idleing or existing for at least that amount of time, respectively. # # connection_max_idle_time = "0s" # # connection_max_life_time = "0s" # # ## Connection count limits # ## By default the number of open connections is not limited and the number of maximum idle connections # ## will be inferred from the number of queries specified. If you specify a positive number for any of the # ## two options, connections will be closed when reaching the specified limit. The number of idle connections # ## will be clipped to the maximum number of connections limit if any. # # connection_max_open = 0 # # connection_max_idle = auto # # [[inputs.sql.query]] # ## Query to perform on the server # query="SELECT user,state,latency,score FROM Scoreboard WHERE application > 0" # ## Alternatively to specifying the query directly you can select a file here containing the SQL query. # ## Only one of 'query' and 'query_script' can be specified! # # query_script = "/path/to/sql/script.sql" # # ## Name of the measurement # ## In case both measurement and 'measurement_col' are given, the latter takes precedence. # # measurement = "sql" # # ## Column name containing the name of the measurement # ## If given, this will take precedence over the 'measurement' setting. In case a query result # ## does not contain the specified column, we fall-back to the 'measurement' setting. # # measurement_column = "" # # ## Column name containing the time of the measurement # ## If ommited, the time of the query will be used. # # time_column = "" # # ## Format of the time contained in 'time_col' # ## The time must be 'unix', 'unix_ms', 'unix_us', 'unix_ns', or a golang time format. # ## See https://golang.org/pkg/time/#Time.Format for details. # # time_format = "unix" # # ## Column names containing tags # ## An empty include list will reject all columns and an empty exclude list will not exclude any column. # ## I.e. by default no columns will be returned as tag and the tags are empty. # # tag_columns_include = [] # # tag_columns_exclude = [] # # ## Column names containing fields (explicit types) # ## Convert the given columns to the corresponding type. Explicit type conversions take precedence over # ## the automatic (driver-based) conversion below. # ## NOTE: Columns should not be specified for multiple types or the resulting type is undefined. # # field_columns_float = [] # # field_columns_int = [] # # field_columns_uint = [] # # field_columns_bool = [] # # field_columns_string = [] # # ## Column names containing fields (automatic types) # ## An empty include list is equivalent to '[*]' and all returned columns will be accepted. An empty # ## exclude list will not exclude any column. I.e. by default all columns will be returned as fields. # ## NOTE: We rely on the database driver to perform automatic datatype conversion. # # field_columns_include = [] # # field_columns_exclude = [] # # Read metrics from Microsoft SQL Server # [[inputs.sqlserver]] # ## Specify instances to monitor with a list of connection strings. # ## All connection parameters are optional. # ## By default, the host is localhost, listening on default port, TCP 1433. # ## for Windows, the user is the currently running AD user (SSO). # ## See https://github.com/denisenkom/go-mssqldb for detailed connection # ## parameters, in particular, tls connections can be created like so: # ## "encrypt=true;certificate=;hostNameInCertificate=" # servers = [ # "Server=192.168.1.10;Port=1433;User Id=;Password=;app name=telegraf;log=1;", # ] # # ## Authentication method # ## valid methods: "connection_string", "AAD" # # auth_method = "connection_string" # # ## "database_type" enables a specific set of queries depending on the database type. # ## In the config file, the sql server plugin section should be repeated each with a set of servers for a specific database_type. # ## Possible values for database_type are - "SQLServer" or "AzureSQLDB" or "AzureSQLManagedInstance" or "AzureSQLPool" # # database_type = "SQLServer" # # ## A list of queries to include. If not specified, all the below listed queries are used. # include_query = [] # # ## A list of queries to explicitly ignore. # exclude_query = ["SQLServerAvailabilityReplicaStates", "SQLServerDatabaseReplicaStates"] # # ## Queries enabled by default for database_type = "SQLServer" are - # ## SQLServerPerformanceCounters, SQLServerWaitStatsCategorized, SQLServerDatabaseIO, SQLServerProperties, SQLServerMemoryClerks, # ## SQLServerSchedulers, SQLServerRequests, SQLServerVolumeSpace, SQLServerCpu, SQLServerAvailabilityReplicaStates, SQLServerDatabaseReplicaStates # # ## Queries enabled by default for database_type = "AzureSQLDB" are - # ## AzureSQLDBResourceStats, AzureSQLDBResourceGovernance, AzureSQLDBWaitStats, AzureSQLDBDatabaseIO, AzureSQLDBServerProperties, # ## AzureSQLDBOsWaitstats, AzureSQLDBMemoryClerks, AzureSQLDBPerformanceCounters, AzureSQLDBRequests, AzureSQLDBSchedulers # # ## Queries enabled by default for database_type = "AzureSQLManagedInstance" are - # ## AzureSQLMIResourceStats, AzureSQLMIResourceGovernance, AzureSQLMIDatabaseIO, AzureSQLMIServerProperties, AzureSQLMIOsWaitstats, # ## AzureSQLMIMemoryClerks, AzureSQLMIPerformanceCounters, AzureSQLMIRequests, AzureSQLMISchedulers # # ## Queries enabled by default for database_type = "AzureSQLPool" are - # ## AzureSQLPoolResourceStats, AzureSQLPoolResourceGovernance, AzureSQLPoolDatabaseIO, AzureSQLPoolWaitStats, # ## AzureSQLPoolMemoryClerks, AzureSQLPoolPerformanceCounters, AzureSQLPoolSchedulers # # Statsd UDP/TCP Server # [[inputs.statsd]] # ## Protocol, must be "tcp", "udp", "udp4" or "udp6" (default=udp) # protocol = "udp" # # ## MaxTCPConnection - applicable when protocol is set to tcp (default=250) # max_tcp_connections = 250 # # ## Enable TCP keep alive probes (default=false) # tcp_keep_alive = false # # ## Specifies the keep-alive period for an active network connection. # ## Only applies to TCP sockets and will be ignored if tcp_keep_alive is false. # ## Defaults to the OS configuration. # # tcp_keep_alive_period = "2h" # # ## Address and port to host UDP listener on # service_address = ":8125" # # ## The following configuration options control when telegraf clears it's cache # ## of previous values. If set to false, then telegraf will only clear it's # ## cache when the daemon is restarted. # ## Reset gauges every interval (default=true) # delete_gauges = true # ## Reset counters every interval (default=true) # delete_counters = true # ## Reset sets every interval (default=true) # delete_sets = true # ## Reset timings & histograms every interval (default=true) # delete_timings = true # # ## Percentiles to calculate for timing & histogram stats # percentiles = [50.0, 90.0, 99.0, 99.9, 99.95, 100.0] # # ## separator to use between elements of a statsd metric # metric_separator = "_" # # ## Parses tags in the datadog statsd format # ## http://docs.datadoghq.com/guides/dogstatsd/ # parse_data_dog_tags = false # # ## Parses datadog extensions to the statsd format # datadog_extensions = false # # ## Parses distributions metric as specified in the datadog statsd format # ## https://docs.datadoghq.com/developers/metrics/types/?tab=distribution#definition # datadog_distributions = false # # ## Statsd data translation templates, more info can be read here: # ## https://github.com/influxdata/telegraf/blob/master/docs/TEMPLATE_PATTERN.md # # templates = [ # # "cpu.* measurement*" # # ] # # ## Number of UDP messages allowed to queue up, once filled, # ## the statsd server will start dropping packets # allowed_pending_messages = 10000 # # ## Number of timing/histogram values to track per-measurement in the # ## calculation of percentiles. Raising this limit increases the accuracy # ## of percentiles but also increases the memory usage and cpu time. # percentile_limit = 1000 # # ## Max duration (TTL) for each metric to stay cached/reported without being updated. # #max_ttl = "1000h" # # ## Sanitize name method # ## By default, telegraf will pass names directly as they are received. # ## However, upstream statsd now does sanitization of names which can be # ## enabled by using the "upstream" method option. This option will a) replace # ## white space with '_', replace '/' with '-', and remove charachters not # ## matching 'a-zA-Z_\-0-9\.;='. # #sanitize_name_method = "" # # Suricata stats and alerts plugin # [[inputs.suricata]] # ## Data sink for Suricata stats and alerts logs # # This is expected to be a filename of a # # unix socket to be created for listening. # source = "/var/run/suricata-stats.sock" # # # Delimiter for flattening field keys, e.g. subitem "alert" of "detect" # # becomes "detect_alert" when delimiter is "_". # delimiter = "_" # # ## Detect alert logs # # alerts = false # # Accepts syslog messages following RFC5424 format with transports as per RFC5426, RFC5425, or RFC6587 # [[inputs.syslog]] # ## Specify an ip or hostname with port - eg., tcp://localhost:6514, tcp://10.0.0.1:6514 # ## Protocol, address and port to host the syslog receiver. # ## If no host is specified, then localhost is used. # ## If no port is specified, 6514 is used (RFC5425#section-4.1). # server = "tcp://:6514" # # ## TLS Config # # tls_allowed_cacerts = ["/etc/telegraf/ca.pem"] # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # # ## Period between keep alive probes. # ## 0 disables keep alive probes. # ## Defaults to the OS configuration. # ## Only applies to stream sockets (e.g. TCP). # # keep_alive_period = "5m" # # ## Maximum number of concurrent connections (default = 0). # ## 0 means unlimited. # ## Only applies to stream sockets (e.g. TCP). # # max_connections = 1024 # # ## Read timeout is the maximum time allowed for reading a single message (default = 5s). # ## 0 means unlimited. # # read_timeout = "5s" # # ## The framing technique with which it is expected that messages are transported (default = "octet-counting"). # ## Whether the messages come using the octect-counting (RFC5425#section-4.3.1, RFC6587#section-3.4.1), # ## or the non-transparent framing technique (RFC6587#section-3.4.2). # ## Must be one of "octet-counting", "non-transparent". # # framing = "octet-counting" # # ## The trailer to be expected in case of non-transparent framing (default = "LF"). # ## Must be one of "LF", or "NUL". # # trailer = "LF" # # ## Whether to parse in best effort mode or not (default = false). # ## By default best effort parsing is off. # # best_effort = false # # ## The RFC standard to use for message parsing # ## By default RFC5424 is used. RFC3164 only supports UDP transport (no streaming support) # ## Must be one of "RFC5424", or "RFC3164". # # syslog_standard = "RFC5424" # # ## Character to prepend to SD-PARAMs (default = "_"). # ## A syslog message can contain multiple parameters and multiple identifiers within structured data section. # ## Eg., [id1 name1="val1" name2="val2"][id2 name1="val1" nameA="valA"] # ## For each combination a field is created. # ## Its name is created concatenating identifier, sdparam_separator, and parameter name. # # sdparam_separator = "_" # # Parse the new lines appended to a file # [[inputs.tail]] # ## File names or a pattern to tail. # ## These accept standard unix glob matching rules, but with the addition of # ## ** as a "super asterisk". ie: # ## "/var/log/**.log" -> recursively find all .log files in /var/log # ## "/var/log/*/*.log" -> find all .log files with a parent dir in /var/log # ## "/var/log/apache.log" -> just tail the apache log file # ## "/var/log/log[!1-2]* -> tail files without 1-2 # ## "/var/log/log[^1-2]* -> identical behavior as above # ## See https://github.com/gobwas/glob for more examples # ## # files = ["/var/mymetrics.out"] # # ## Read file from beginning. # # from_beginning = false # # ## Whether file is a named pipe # # pipe = false # # ## Method used to watch for file updates. Can be either "inotify" or "poll". # # watch_method = "inotify" # # ## Maximum lines of the file to process that have not yet be written by the # ## output. For best throughput set based on the number of metrics on each # ## line and the size of the output's metric_batch_size. # # max_undelivered_lines = 1000 # # ## Character encoding to use when interpreting the file contents. Invalid # ## characters are replaced using the unicode replacement character. When set # ## to the empty string the data is not decoded to text. # ## ex: character_encoding = "utf-8" # ## character_encoding = "utf-16le" # ## character_encoding = "utf-16be" # ## character_encoding = "" # # character_encoding = "" # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # ## Set the tag that will contain the path of the tailed file. If you don't want this tag, set it to an empty string. # # path_tag = "path" # # ## multiline parser/codec # ## https://www.elastic.co/guide/en/logstash/2.4/plugins-filters-multiline.html # #[inputs.tail.multiline] # ## The pattern should be a regexp which matches what you believe to be an # ## indicator that the field is part of an event consisting of multiple lines of log data. # #pattern = "^\s" # # ## This field must be either "previous" or "next". # ## If a line matches the pattern, "previous" indicates that it belongs to the previous line, # ## whereas "next" indicates that the line belongs to the next one. # #match_which_line = "previous" # # ## The invert_match field can be true or false (defaults to false). # ## If true, a message not matching the pattern will constitute a match of the multiline # ## filter and the what will be applied. (vice-versa is also true) # #invert_match = false # # ## After the specified timeout, this plugin sends a multiline event even if no new pattern # ## is found to start a new event. The default timeout is 5s. # #timeout = 5s # # Generic TCP listener # [[inputs.tcp_listener]] # ## DEPRECATED: The 'tcp_listener' plugin is deprecated in version 1.3.0, use 'inputs.socket_listener' instead. # # DEPRECATED: the TCP listener plugin has been deprecated in favor of the # # socket_listener plugin # # see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/socket_listener # # Generic UDP listener # [[inputs.udp_listener]] # ## DEPRECATED: The 'udp_listener' plugin is deprecated in version 1.3.0, use 'inputs.socket_listener' instead. # # DEPRECATED: the TCP listener plugin has been deprecated in favor of the # # socket_listener plugin # # see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/socket_listener # # Read metrics from VMware vCenter # [[inputs.vsphere]] # ## List of vCenter URLs to be monitored. These three lines must be uncommented # ## and edited for the plugin to work. # vcenters = [ "https://vcenter.local/sdk" ] # username = "user@corp.local" # password = "secret" # # ## VMs # ## Typical VM metrics (if omitted or empty, all metrics are collected) # # vm_include = [ "/*/vm/**"] # Inventory path to VMs to collect (by default all are collected) # # vm_exclude = [] # Inventory paths to exclude # vm_metric_include = [ # "cpu.demand.average", # "cpu.idle.summation", # "cpu.latency.average", # "cpu.readiness.average", # "cpu.ready.summation", # "cpu.run.summation", # "cpu.usagemhz.average", # "cpu.used.summation", # "cpu.wait.summation", # "mem.active.average", # "mem.granted.average", # "mem.latency.average", # "mem.swapin.average", # "mem.swapinRate.average", # "mem.swapout.average", # "mem.swapoutRate.average", # "mem.usage.average", # "mem.vmmemctl.average", # "net.bytesRx.average", # "net.bytesTx.average", # "net.droppedRx.summation", # "net.droppedTx.summation", # "net.usage.average", # "power.power.average", # "virtualDisk.numberReadAveraged.average", # "virtualDisk.numberWriteAveraged.average", # "virtualDisk.read.average", # "virtualDisk.readOIO.latest", # "virtualDisk.throughput.usage.average", # "virtualDisk.totalReadLatency.average", # "virtualDisk.totalWriteLatency.average", # "virtualDisk.write.average", # "virtualDisk.writeOIO.latest", # "sys.uptime.latest", # ] # # vm_metric_exclude = [] ## Nothing is excluded by default # # vm_instances = true ## true by default # # ## Hosts # ## Typical host metrics (if omitted or empty, all metrics are collected) # # host_include = [ "/*/host/**"] # Inventory path to hosts to collect (by default all are collected) # # host_exclude [] # Inventory paths to exclude # host_metric_include = [ # "cpu.coreUtilization.average", # "cpu.costop.summation", # "cpu.demand.average", # "cpu.idle.summation", # "cpu.latency.average", # "cpu.readiness.average", # "cpu.ready.summation", # "cpu.swapwait.summation", # "cpu.usage.average", # "cpu.usagemhz.average", # "cpu.used.summation", # "cpu.utilization.average", # "cpu.wait.summation", # "disk.deviceReadLatency.average", # "disk.deviceWriteLatency.average", # "disk.kernelReadLatency.average", # "disk.kernelWriteLatency.average", # "disk.numberReadAveraged.average", # "disk.numberWriteAveraged.average", # "disk.read.average", # "disk.totalReadLatency.average", # "disk.totalWriteLatency.average", # "disk.write.average", # "mem.active.average", # "mem.latency.average", # "mem.state.latest", # "mem.swapin.average", # "mem.swapinRate.average", # "mem.swapout.average", # "mem.swapoutRate.average", # "mem.totalCapacity.average", # "mem.usage.average", # "mem.vmmemctl.average", # "net.bytesRx.average", # "net.bytesTx.average", # "net.droppedRx.summation", # "net.droppedTx.summation", # "net.errorsRx.summation", # "net.errorsTx.summation", # "net.usage.average", # "power.power.average", # "storageAdapter.numberReadAveraged.average", # "storageAdapter.numberWriteAveraged.average", # "storageAdapter.read.average", # "storageAdapter.write.average", # "sys.uptime.latest", # ] # ## Collect IP addresses? Valid values are "ipv4" and "ipv6" # # ip_addresses = ["ipv6", "ipv4" ] # # # host_metric_exclude = [] ## Nothing excluded by default # # host_instances = true ## true by default # # # ## Clusters # # cluster_include = [ "/*/host/**"] # Inventory path to clusters to collect (by default all are collected) # # cluster_exclude = [] # Inventory paths to exclude # # cluster_metric_include = [] ## if omitted or empty, all metrics are collected # # cluster_metric_exclude = [] ## Nothing excluded by default # # cluster_instances = false ## false by default # # ## Datastores # # datastore_include = [ "/*/datastore/**"] # Inventory path to datastores to collect (by default all are collected) # # datastore_exclude = [] # Inventory paths to exclude # # datastore_metric_include = [] ## if omitted or empty, all metrics are collected # # datastore_metric_exclude = [] ## Nothing excluded by default # # datastore_instances = false ## false by default # # ## Datacenters # # datacenter_include = [ "/*/host/**"] # Inventory path to clusters to collect (by default all are collected) # # datacenter_exclude = [] # Inventory paths to exclude # datacenter_metric_include = [] ## if omitted or empty, all metrics are collected # datacenter_metric_exclude = [ "*" ] ## Datacenters are not collected by default. # # datacenter_instances = false ## false by default # # ## Plugin Settings # ## separator character to use for measurement and field names (default: "_") # # separator = "_" # # ## number of objects to retrieve per query for realtime resources (vms and hosts) # ## set to 64 for vCenter 5.5 and 6.0 (default: 256) # # max_query_objects = 256 # # ## number of metrics to retrieve per query for non-realtime resources (clusters and datastores) # ## set to 64 for vCenter 5.5 and 6.0 (default: 256) # # max_query_metrics = 256 # # ## number of go routines to use for collection and discovery of objects and metrics # # collect_concurrency = 1 # # discover_concurrency = 1 # # ## the interval before (re)discovering objects subject to metrics collection (default: 300s) # # object_discovery_interval = "300s" # # ## timeout applies to any of the api request made to vcenter # # timeout = "60s" # # ## When set to true, all samples are sent as integers. This makes the output # ## data types backwards compatible with Telegraf 1.9 or lower. Normally all # ## samples from vCenter, with the exception of percentages, are integer # ## values, but under some conditions, some averaging takes place internally in # ## the plugin. Setting this flag to "false" will send values as floats to # ## preserve the full precision when averaging takes place. # # use_int_samples = true # # ## Custom attributes from vCenter can be very useful for queries in order to slice the # ## metrics along different dimension and for forming ad-hoc relationships. They are disabled # ## by default, since they can add a considerable amount of tags to the resulting metrics. To # ## enable, simply set custom_attribute_exclude to [] (empty set) and use custom_attribute_include # ## to select the attributes you want to include. # ## By default, since they can add a considerable amount of tags to the resulting metrics. To # ## enable, simply set custom_attribute_exclude to [] (empty set) and use custom_attribute_include # ## to select the attributes you want to include. # # custom_attribute_include = [] # # custom_attribute_exclude = ["*"] # # ## The number of vSphere 5 minute metric collection cycles to look back for non-realtime metrics. In # ## some versions (6.7, 7.0 and possible more), certain metrics, such as cluster metrics, may be reported # ## with a significant delay (>30min). If this happens, try increasing this number. Please note that increasing # ## it too much may cause performance issues. # # metric_lookback = 3 # # ## Optional SSL Config # # ssl_ca = "/path/to/cafile" # # ssl_cert = "/path/to/certfile" # # ssl_key = "/path/to/keyfile" # ## Use SSL but skip chain & host verification # # insecure_skip_verify = false # # ## The Historical Interval value must match EXACTLY the interval in the daily # # "Interval Duration" found on the VCenter server under Configure > General > Statistics > Statistic intervals # # historical_interval = "5m" # # A Webhooks Event collector # [[inputs.webhooks]] # ## Address and port to host Webhook listener on # service_address = ":1619" # # [inputs.webhooks.filestack] # path = "/filestack" # # ## HTTP basic auth # #username = "" # #password = "" # # [inputs.webhooks.github] # path = "/github" # # secret = "" # # ## HTTP basic auth # #username = "" # #password = "" # # [inputs.webhooks.mandrill] # path = "/mandrill" # # ## HTTP basic auth # #username = "" # #password = "" # # [inputs.webhooks.rollbar] # path = "/rollbar" # # ## HTTP basic auth # #username = "" # #password = "" # # [inputs.webhooks.papertrail] # path = "/papertrail" # # ## HTTP basic auth # #username = "" # #password = "" # # [inputs.webhooks.particle] # path = "/particle" # # ## HTTP basic auth # #username = "" # #password = "" # # This plugin implements the Zipkin http server to gather trace and timing data needed to troubleshoot latency problems in microservice architectures. # [[inputs.zipkin]] # # path = "/api/v1/spans" # URL path for span data # # port = 9411 # Port on which Telegraf listens