EVOLUTION-MANAGER

Edit File: telegraf.conf.01072024

# Telegraf Configuration # # Telegraf is entirely plugin driven. All metrics are gathered from the # declared inputs, and sent to the declared outputs. # # Plugins must be declared in here to be active. # To deactivate a plugin, comment out the name and any variables. # # Use 'telegraf -config telegraf.conf -test' to see what metrics a config # file would generate. # # Environment variables can be used anywhere in this config file, simply surround # them with ${}. For strings the variable must be within quotes (ie, "${STR_VAR}"), # for numbers and booleans they should be plain (ie, ${INT_VAR}, ${BOOL_VAR}) # Global tags can be specified here in key="value" format. [global_tags] # dc = "us-east-1" # will tag all metrics with dc=us-east-1 # rack = "1a" ## Environment variables can be used as tags, and throughout the config file # user = "$USER" # Configuration for telegraf agent [agent] ## Default data collection interval for all inputs interval = "10s" ## Rounds collection interval to 'interval' ## ie, if interval="10s" then always collect on :00, :10, :20, etc. round_interval = true ## Telegraf will send metrics to outputs in batches of at most ## metric_batch_size metrics. ## This controls the size of writes that Telegraf sends to output plugins. metric_batch_size = 1000 ## Maximum number of unwritten metrics per output. Increasing this value ## allows for longer periods of output downtime without dropping metrics at the ## cost of higher maximum memory usage. metric_buffer_limit = 10000 ## Collection jitter is used to jitter the collection by a random amount. ## Each plugin will sleep for a random time within jitter before collecting. ## This can be used to avoid many plugins querying things like sysfs at the ## same time, which can have a measurable effect on the system. collection_jitter = "0s" ## Default flushing interval for all outputs. Maximum flush_interval will be ## flush_interval + flush_jitter flush_interval = "10s" ## Jitter the flush interval by a random amount. This is primarily to avoid ## large write spikes for users running a large number of telegraf instances. ## ie, a jitter of 5s and interval 10s means flushes will happen every 10-15s flush_jitter = "0s" ## By default or when set to "0s", precision will be set to the same ## timestamp order as the collection interval, with the maximum being 1s. ## ie, when interval = "10s", precision will be "1s" ## when interval = "250ms", precision will be "1ms" ## Precision will NOT be used for service inputs. It is up to each individual ## service input to set the timestamp at the appropriate precision. ## Valid time units are "ns", "us" (or "µs"), "ms", "s". precision = "" ## Log at debug level. # debug = false ## Log only error level messages. # quiet = false ## Log target controls the destination for logs and can be one of "file", ## "stderr" or, on Windows, "eventlog". When set to "file", the output file ## is determined by the "logfile" setting. # logtarget = "file" 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 = "" logfile = "/var/log/telegraf/telegraf.log" ## The logfile will be rotated after the time interval specified. When set ## to 0 no time based rotation is performed. Logs are rotated only when ## written to, if there is no log activity rotation may be delayed. # logfile_rotation_interval = "0d" ## The logfile will be rotated when it becomes larger than the specified ## size. When set to 0 no size based rotation is performed. # logfile_rotation_max_size = "0MB" ## Maximum number of rotated archives to keep, any older logs are deleted. ## If set to -1, no archives are removed. # logfile_rotation_max_archives = 5 ## Override default hostname, if empty use os.Hostname() hostname = "" ## If set to true, do no set the "host" tag in the telegraf agent. omit_hostname = false ############################################################################### # OUTPUT PLUGINS # ############################################################################### # Configuration for sending metrics to InfluxDB [[outputs.influxdb]] ## The full HTTP or UDP URL for your InfluxDB instance. ## ## Multiple URLs can be specified for a single cluster, only ONE of the ## urls will be written to each interval. # urls = ["unix:///var/run/influxdb.sock"] # urls = ["udp://127.0.0.1:8089"] # urls = ["http://127.0.0.1:8086"] 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" database = "sensores" ## 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 = "sensores" ## If true, the database tag will not be added to the 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 = "autogen" ## 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 = "identity" ## When true, Telegraf will output unsigned integers as unsigned values, ## i.e.: "42u". You will need a version of InfluxDB supporting unsigned ## integer values. Enabling this option will result in field type errors if ## existing data has been written. # influx_uint_support = false # # Configuration for Amon Server to send metrics to. # [[outputs.amon]] # ## Amon Server Key # server_key = "my-server-key" # required. # # ## Amon Instance URL # amon_instance = "https://youramoninstance" # required # # ## Connection timeout. # # timeout = "5s" # # Publishes metrics to an AMQP broker # [[outputs.amqp]] # ## Broker to publish to. # ## deprecated in 1.7; use the brokers option # # url = "amqp://localhost:5672/influxdb" # # ## Brokers to publish to. If multiple brokers are specified a random broker # ## will be selected anytime a connection is established. This can be # ## helpful for load balancing when not using a dedicated load balancer. # brokers = ["amqp://localhost:5672/influxdb"] # # ## Maximum messages to send over a connection. Once this is reached, the # ## connection is closed and a new connection is made. This can be helpful for # ## load balancing when not using a dedicated load balancer. # # max_messages = 0 # # ## Exchange to declare and publish to. # exchange = "telegraf" # # ## Exchange type; common types are "direct", "fanout", "topic", "header", "x-consistent-hash". # # exchange_type = "topic" # # ## If true, exchange will be passively declared. # # exchange_passive = false # # ## Exchange durability can be either "transient" or "durable". # # exchange_durability = "durable" # # ## Additional exchange arguments. # # exchange_arguments = { } # # exchange_arguments = {"hash_propery" = "timestamp"} # # ## Authentication credentials for the PLAIN auth_method. # # username = "" # # password = "" # # ## Auth method. PLAIN and EXTERNAL are supported # ## Using EXTERNAL requires enabling the rabbitmq_auth_mechanism_ssl plugin as # ## described here: https://www.rabbitmq.com/plugins.html # # auth_method = "PLAIN" # # ## Metric tag to use as a routing key. # ## ie, if this tag exists, its value will be used as the routing key # # routing_tag = "host" # # ## Static routing key. Used when no routing_tag is set or as a fallback # ## when the tag specified in routing tag is not found. # # routing_key = "" # # routing_key = "telegraf" # # ## Delivery Mode controls if a published message is persistent. # ## One of "transient" or "persistent". # # delivery_mode = "transient" # # ## InfluxDB database added as a message header. # ## deprecated in 1.7; use the headers option # # database = "telegraf" # # ## InfluxDB retention policy added as a message header # ## deprecated in 1.7; use the headers option # # retention_policy = "default" # # ## Static headers added to each published message. # # headers = { } # # headers = {"database" = "telegraf", "retention_policy" = "default"} # # ## Connection timeout. If not provided, will default to 5s. 0s means no # ## timeout (not recommended). # # timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## If true use batch serialization format instead of line based delimiting. # ## Only applies to data formats which are not line based such as JSON. # ## Recommended to set to true. # # use_batch_format = false # # ## 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" # # ## Timeout for closing (default: 5s). # # timeout = "5s" # # ## Enable additional diagnostic logging. # # enable_diagnostic_logging = false # # ## Context Tag Sources add Application Insights context tags to a tag value. # ## # ## For list of allowed context tag keys see: # ## https://github.com/Microsoft/ApplicationInsights-Go/blob/master/appinsights/contracts/contexttagkeys.go # # [outputs.application_insights.context_tag_sources] # # "ai.cloud.role" = "kubernetes_container_name" # # "ai.cloud.roleInstance" = "kubernetes_pod_name" # # Send aggregate metrics to Azure Monitor # [[outputs.azure_monitor]] # ## Timeout for HTTP writes. # # timeout = "20s" # # ## Set the namespace prefix, defaults to "Telegraf/<input-name>". # # namespace_prefix = "Telegraf/" # # ## Azure Monitor doesn't have a string value type, so convert string # ## fields to dimensions (a.k.a. tags) if enabled. Azure Monitor allows # ## a maximum of 10 dimensions so Telegraf will only send the first 10 # ## alphanumeric dimensions. # # strings_as_dimensions = false # # ## Both region and resource_id must be set or be available via the # ## Instance Metadata service on Azure Virtual Machines. # # # ## Azure Region to publish metrics against. # ## ex: region = "southcentralus" # # region = "" # # # ## The Azure Resource ID against which metric will be logged, e.g. # ## ex: resource_id = "/subscriptions/<subscription_id>/resourceGroups/<resource_group>/providers/Microsoft.Compute/virtualMachines/<vm_name>" # # resource_id = "" # # ## 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" # # 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. # # [[inputs.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) Assumed credentials via STS if role_arn is specified # ## 2) explicit credentials from 'access_key' and 'secret_key' # ## 3) shared profile from 'profile' # ## 4) environment variables # ## 5) shared credentials file # ## 6) EC2 Instance Profile # #access_key = "" # #secret_key = "" # #token = "" # #role_arn = "" # #profile = "" # #shared_credential_file = "" # # ## Endpoint to make request against, the correct endpoint is automatically # ## determined and this option should only be set if you wish to override the # ## default. # ## ex: endpoint_url = "http://localhost:8000" # # endpoint_url = "" # # ## Namespace for the CloudWatch MetricDatums # namespace = "InfluxData/Telegraf" # # ## If you have a large amount of metrics, you should consider to send statistic # ## values instead of raw metrics which could not only improve performance but # ## also save AWS API cost. If enable this flag, this plugin would parse the required # ## CloudWatch statistic fields (count, min, max, and sum) and send them to CloudWatch. # ## You could use basicstats aggregator to calculate those fields. If not all statistic # ## fields are available, all fields would still be sent as raw metrics. # # write_statistics = false # # ## Enable high resolution metrics of 1 second (if not enabled, standard resolution are of 60 seconds precision) # # high_resolution_metrics = false # # Configuration for CrateDB to send metrics to. # [[outputs.cratedb]] # # A github.com/jackc/pgx connection string. # # See https://godoc.org/github.com/jackc/pgx#ParseDSN # url = "postgres://user:password@localhost/schema?sslmode=disable" # # Timeout for all CrateDB queries. # timeout = "5s" # # Name of the table to store metrics in. # table = "metrics" # # If true, and the metrics table does not exist, create it automatically. # table_create = true # # Configuration for DataDog API to send metrics to. # [[outputs.datadog]] # ## Datadog API key # apikey = "my-secret-key" # required. # # # The base endpoint URL can optionally be specified but it defaults to: # #url = "https://app.datadoghq.com/api/v1/series" # # ## Connection timeout. # # timeout = "5s" # # Send metrics to nowhere at all # [[outputs.discard]] # # no configuration # # Configuration for Elasticsearch to send metrics to. # [[outputs.elasticsearch]] # ## The full HTTP endpoint URL for your Elasticsearch instance # ## Multiple urls can be specified as part of the same cluster, # ## this means that only ONE of the urls will be written to each interval. # urls = [ "http://node1.es.example.com:9200" ] # required. # ## Elasticsearch client timeout, defaults to "5s" if not set. # timeout = "5s" # ## Set to true to ask Elasticsearch a list of all cluster nodes, # ## thus it is not necessary to list all nodes in the urls config option. # enable_sniffer = false # ## Set the interval to check if the Elasticsearch nodes are available # ## Setting to "0s" will disable the health check (not recommended in production) # health_check_interval = "10s" # ## HTTP basic authentication details # # username = "telegraf" # # password = "mypassword" # # ## Index Config # ## The target index for metrics (Elasticsearch will create if it not exists). # ## You can use the date specifiers below to create indexes per time frame. # ## The metric timestamp will be used to decide the destination index name # # %Y - year (2016) # # %y - last two digits of year (00..99) # # %m - month (01..12) # # %d - day of month (e.g., 01) # # %H - hour (00..23) # # %V - week of the year (ISO week) (01..53) # ## Additionally, you can specify a tag name using the notation {{tag_name}} # ## which will be used as part of the index name. If the tag does not exist, # ## the default tag value will be used. # # index_name = "telegraf-{{host}}-%Y.%m.%d" # # default_tag_value = "none" # index_name = "telegraf-%Y.%m.%d" # required. # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Template Config # ## Set to true if you want telegraf to manage its index template. # ## If enabled it will create a recommended index template for telegraf indexes # manage_template = true # ## The template name used for telegraf indexes # template_name = "telegraf" # ## Set to true if you want telegraf to overwrite an existing template # overwrite_template = false # # Send metrics to command as input over stdin # [[outputs.exec]] # ## Command to injest 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" # # 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 effiently 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 # # ## timeout in seconds for the write connection to graphite # timeout = 2 # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Send telegraf metrics to graylog(s) # [[outputs.graylog]] # ## UDP endpoint for your graylog instance. # servers = ["127.0.0.1:12201", "192.168.1.1:12201"] # # 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 # # ## 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" # # ## 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" # # 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://127.0.0.1:9999"] # # ## 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 Communcation to Instrumental # debug = false # # Configuration for the Kafka server to send metrics to # [[outputs.kafka]] # ## URLs of kafka brokers # brokers = ["localhost:9092"] # ## Kafka topic for producer messages # topic = "telegraf" # # ## Optional Client id # # client_id = "Telegraf" # # ## Set the minimal supported Kafka version. Setting this enables the use of new # ## Kafka features and APIs. Of particular interest, lz4 compression # ## requires at least version 0.10.0.0. # ## ex: version = "1.1.0" # # version = "" # # ## Optional topic suffix configuration. # ## If the section is omitted, no suffix is used. # ## Following topic suffix methods are supported: # ## measurement - suffix equals to separator + measurement's name # ## tags - suffix equals to separator + specified tags' values # ## interleaved with separator # # ## Suffix equals to "_" + measurement name # # [outputs.kafka.topic_suffix] # # method = "measurement" # # separator = "_" # # ## Suffix equals to "__" + measurement's "foo" tag value. # ## If there's no such a tag, suffix equals to an empty string # # [outputs.kafka.topic_suffix] # # method = "tags" # # keys = ["foo"] # # separator = "__" # # ## Suffix equals to "_" + measurement's "foo" and "bar" # ## tag values, separated by "_". If there is no such tags, # ## their values treated as empty strings. # # [outputs.kafka.topic_suffix] # # method = "tags" # # keys = ["foo", "bar"] # # separator = "_" # # ## Telegraf tag to use as a routing key # ## ie, if this tag exists, its value will be used as the routing key # routing_tag = "host" # # ## Static routing key. Used when no routing_tag is set or as a fallback # ## when the tag specified in routing tag is not found. If set to "random", # ## a random value will be generated for each message. # ## ex: routing_key = "random" # ## routing_key = "telegraf" # # routing_key = "" # # ## CompressionCodec represents the various compression codecs recognized by # ## Kafka in messages. # ## 0 : No compression # ## 1 : Gzip compression # ## 2 : Snappy compression # ## 3 : LZ4 compression # # compression_codec = 0 # # ## RequiredAcks is used in Produce Requests to tell the broker how many # ## replica acknowledgements it must see before responding # ## 0 : the producer never waits for an acknowledgement from the broker. # ## This option provides the lowest latency but the weakest durability # ## guarantees (some data will be lost when a server fails). # ## 1 : the producer gets an acknowledgement after the leader replica has # ## received the data. This option provides better durability as the # ## client waits until the server acknowledges the request as successful # ## (only messages that were written to the now-dead leader but not yet # ## replicated will be lost). # ## -1: the producer gets an acknowledgement after all in-sync replicas have # ## received the data. This option provides the best durability, we # ## guarantee that no messages will be lost as long as at least one in # ## sync replica remains. # # required_acks = -1 # # ## The maximum number of times to retry sending a metric before failing # ## until the next flush. # # max_retry = 3 # # ## The maximum permitted size of a message. Should be set equal to or # ## smaller than the broker's 'message.max.bytes'. # # max_message_bytes = 1000000 # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Optional SASL Config # # sasl_username = "kafka" # # sasl_password = "secret" # # ## Data format to output. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md # # data_format = "influx" # # Configuration for the AWS Kinesis output. # [[outputs.kinesis]] # ## Amazon REGION of kinesis endpoint. # region = "ap-southeast-2" # # ## Amazon Credentials # ## Credentials are loaded in the following order # ## 1) Assumed credentials via STS if role_arn is specified # ## 2) explicit credentials from 'access_key' and 'secret_key' # ## 3) shared profile from 'profile' # ## 4) environment variables # ## 5) shared credentials file # ## 6) EC2 Instance Profile # #access_key = "" # #secret_key = "" # #token = "" # #role_arn = "" # #profile = "" # #shared_credential_file = "" # # ## Endpoint to make request against, the correct endpoint is automatically # ## determined and this option should only be set if you wish to override the # ## default. # ## ex: endpoint_url = "http://localhost:8000" # # endpoint_url = "" # # ## Kinesis StreamName must exist prior to starting telegraf. # streamname = "StreamName" # ## DEPRECATED: PartitionKey as used for sharding data. # partitionkey = "PartitionKey" # ## DEPRECATED: If set the paritionKey will be a random UUID on every put. # ## This allows for scaling across multiple shards in a stream. # ## This will cause issues with ordering. # use_random_partitionkey = false # ## The partition key can be calculated using one of several methods: # ## # ## Use a static value for all writes: # # [outputs.kinesis.partition] # # method = "static" # # key = "howdy" # # # ## Use a random partition key on each write: # # [outputs.kinesis.partition] # # method = "random" # # # ## Use the measurement name as the partition key: # # [outputs.kinesis.partition] # # method = "measurement" # # # ## Use the value of a tag for all writes, if the tag is not set the empty # ## 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]] # ## Librator API Docs # ## http://dev.librato.com/v1/metrics-authentication # ## Librato API user # api_user = "telegraf@influxdb.com" # required. # ## Librato API token # api_token = "my-secret-token" # required. # ## Debug # # debug = false # ## Connection timeout. # # timeout = "5s" # ## Output source Template (same as graphite buckets) # ## see https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md#graphite # ## This template is used in librato's source (not metric's name) # template = "host" # # # Configuration for MQTT server to send metrics to # [[outputs.mqtt]] # servers = ["localhost:1883"] # required. # # ## MQTT outputs send metrics to this topic format # ## "<topic_prefix>/<hostname>/<pluginname>/" # ## ex: prefix/web01.example.com/mem # topic_prefix = "telegraf" # # ## QoS policy for messages # ## 0 = at most once # ## 1 = at least once # ## 2 = exactly once # # qos = 2 # # ## username and password to connect MQTT server. # # username = "telegraf" # # password = "metricsmetricsmetricsmetrics" # # ## client ID, if not set a random ID is generated # # client_id = "" # # ## Timeout for write operations. default: 5s # # timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## When true, metrics will be sent in one MQTT message per flush. Otherwise, # ## metrics are written one metric per MQTT message. # # batch = false # # ## When true, metric will have RETAIN flag set, making broker cache entries until someone # ## actually reads it # # retain = false # # ## Data format to output. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md # data_format = "influx" # # Send telegraf measurements to NATS # [[outputs.nats]] # ## URLs of NATS servers # servers = ["nats://localhost:4222"] # ## Optional credentials # # username = "" # # password = "" # ## NATS subject for producer messages # subject = "telegraf" # # ## 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 telegraf measurements to NSQD # [[outputs.nsq]] # ## Location of nsqd instance listening on TCP # server = "localhost:4150" # ## NSQ topic for producer messages # topic = "telegraf" # # ## Data format to output. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_OUTPUT.md # data_format = "influx" # # Configuration for OpenTSDB server to send metrics to # [[outputs.opentsdb]] # ## prefix for metrics keys # prefix = "my.specific.prefix." # # ## DNS name of the OpenTSDB server # ## Using "opentsdb.example.com" or "tcp://opentsdb.example.com" will use the # ## telnet API. "http://opentsdb.example.com" will use the Http API. # host = "opentsdb.example.com" # # ## Port of the OpenTSDB server # port = 4242 # # ## Number of data points to send to OpenTSDB in Http requests. # ## Not used with telnet API. # http_batch_size = 50 # # ## URI Path for Http requests to OpenTSDB. # ## Used in cases where OpenTSDB is located behind a reverse proxy. # http_path = "/api/put" # # ## Debug true - Prints OpenTSDB communication # debug = false # # ## Separator separates measurement name from field # separator = "_" # # Configuration for the Prometheus client to spawn # [[outputs.prometheus_client]] # ## Address to listen on # listen = ":9273" # # ## 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; deprecated in 1.13 # ## metric_version = 2; recommended version # # metric_version = 1 # # ## Use HTTP Basic Authentication. # # basic_username = "Foo" # # basic_password = "Bar" # # ## If set, the IP Ranges which are allowed to access metrics. # ## ex: ip_range = ["192.168.0.0/24", "192.168.1.0/30"] # # ip_range = [] # # ## Path to publish the metrics on. # # path = "/metrics" # # ## Expiration interval for each metric. 0 == no expiration # # expiration_interval = "60s" # # ## Collectors to enable, valid entries are "gocollector" and "process". # ## If unset, both are enabled. # # collectors_exclude = ["gocollector", "process"] # # ## Send string metrics as Prometheus labels. # ## Unless set to false all string metrics will be sent as labels. # # string_as_label = true # # ## If set, enable TLS with the given certificate. # # tls_cert = "/etc/ssl/telegraf.crt" # # tls_key = "/etc/ssl/telegraf.key" # # ## Set one or more allowed client CA certificate file names to # ## enable mutually authenticated TLS connections # # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"] # # ## Export metric collection time. # # export_timestamp = false # # Configuration for the Riemann server to send metrics to # [[outputs.riemann]] # ## The full TCP or UDP URL of the Riemann server # url = "tcp://localhost:5555" # # ## Riemann event TTL, floating-point time in seconds. # ## Defines how long that an event is considered valid for in Riemann # # ttl = 30.0 # # ## Separator to use between measurement and field name in Riemann service name # ## This does not have any effect if 'measurement_as_attribute' is set to 'true' # separator = "/" # # ## Set measurement name as Riemann attribute 'measurement', instead of prepending it to the Riemann service name # # measurement_as_attribute = false # # ## Send string metrics as Riemann event states. # ## Unless enabled all string metrics will be ignored # # string_as_state = false # # ## A list of tag keys whose values get sent as Riemann tags. # ## If empty, all Telegraf tag values will be sent as tags # # tag_keys = ["telegraf","custom_tag"] # # ## Additional Riemann tags to send. # # tags = ["telegraf-output"] # # ## Description for Riemann event # # description_text = "metrics collected from telegraf" # # ## Riemann client write timeout, defaults to "5s" if not set. # # timeout = "5s" # # Configuration for the Riemann server to send metrics to # [[outputs.riemann_legacy]] # ## URL of server # url = "localhost:5555" # ## transport protocol to use either tcp or udp # transport = "tcp" # ## separator to use between input name and field name in Riemann service name # separator = " " # # Generic socket writer capable of handling multiple socket types. # [[outputs.socket_writer]] # ## URL to connect to # # address = "tcp://127.0.0.1:8094" # # address = "tcp://example.com:http" # # address = "tcp4://127.0.0.1:8094" # # address = "tcp6://127.0.0.1:8094" # # address = "tcp6://[2001:db8::1]:8094" # # address = "udp://127.0.0.1:8094" # # address = "udp4://127.0.0.1:8094" # # address = "udp6://127.0.0.1:8094" # # address = "unix:///tmp/telegraf.sock" # # address = "unixgram:///tmp/telegraf.sock" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Period between keep alive probes. # ## Only applies to TCP sockets. # ## 0 disables keep alive probes. # ## Defaults to the OS configuration. # # keep_alive_period = "5m" # # ## Data format to generate. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # # data_format = "influx" # # Configuration for 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" # # ## Additonal resource labels # # [outputs.stackdriver.resource_labels] # # node_id = "$HOSTNAME" # # namespace = "myapp" # # location = "eu-north0" # # 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-trasparent 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 unrecognised 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 explict sdids setting below If no default is specified, no SD-PARAMs # ## will be used for unrecognised 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 Wavefront server to send metrics to # [[outputs.wavefront]] # ## Url for Wavefront Direct Ingestion or using HTTP with Wavefront Proxy # ## If using Wavefront Proxy, also specify port. example: http://proxyserver:2878 # url = "https://metrics.wavefront.com" # # ## Authentication Token for Wavefront. Only required if using Direct Ingestion # #token = "DUMMY_TOKEN" # # ## DNS name of the wavefront proxy server. Do not use if url is specified # #host = "wavefront.example.com" # # ## Port that the Wavefront proxy server listens on. Do not use if url is specified # #port = 2878 # # ## prefix for metrics keys # #prefix = "my.specific.prefix." # # ## whether to use "value" for name of simple fields. default is false # #simple_fields = false # # ## character to use between metric and field name. default is . (dot) # #metric_separator = "." # # ## Convert metric name paths to use metricSeparator character # ## When true will convert all _ (underscore) characters in final metric name. default is true # #convert_paths = true # # ## Use Strict rules to sanitize metric and tag names from invalid characters # ## When enabled forward slash (/) and comma (,) will be accpeted # #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 # # ## Define a mapping, namespaced by metric prefix, from string values to numeric values # ## deprecated in 1.9; use the enum processor plugin # #[[outputs.wavefront.string_to_number.elasticsearch]] # # green = 1.0 # # yellow = 0.5 # # red = 0.0 ############################################################################### # PROCESSOR PLUGINS # ############################################################################### # # Clone metrics and apply modifications. # [[processors.clone]] # ## All modifications on inputs and aggregators can be overridden: # # name_override = "new_name" # # name_prefix = "new_name_prefix" # # name_suffix = "new_name_suffix" # # ## Tags to be added (all values must be strings) # # [processors.clone.tags] # # additional_tag = "tag_value" # # Convert values to another metric value type # [[processors.converter]] # ## Tags to convert # ## # ## The table key determines the target type, and the array of key-values # ## select the keys to convert. The array may contain globs. # ## <target-type> = [<tag-key>...] # [processors.converter.tags] # string = [] # integer = [] # unsigned = [] # boolean = [] # float = [] # # ## Fields to convert # ## # ## The table key determines the target type, and the array of key-values # ## select the keys to convert. The array may contain globs. # ## <target-type> = [<field-key>...] # [processors.converter.fields] # tag = [] # string = [] # integer = [] # unsigned = [] # boolean = [] # float = [] # # Dates measurements, tags, and fields that pass through this filter. # [[processors.date]] # ## New tag to create # tag_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" # # Map enum values according to given table. # [[processors.enum]] # [[processors.enum.mapping]] # ## Name of the field to map # field = "status" # # ## Name of the tag to map # # 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 # # 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" # # Print all metrics that pass through this filter. # [[processors.printer]] # # Transforms tag and field values with regex pattern # [[processors.regex]] # ## Tag and field conversions defined in a separate sub-tables # # [[processors.regex.tags]] # # ## Tag to change # # key = "resp_code" # # ## Regular expression to match on a tag value # # pattern = "^(\\d)\\d\\d$" # # ## Matches of the pattern will be replaced with this string. Use ${1} # # ## notation to use the text of the first submatch. # # replacement = "${1}xx" # # # [[processors.regex.fields]] # # ## Field to change # # key = "request" # # ## All the power of the Go regular expressions available here # # ## For example, named subgroups # # pattern = "^/api(?P<method>/[\\w/]+)\\S*" # # replacement = "${method}" # # ## If result_key is present, a new field will be created # # ## instead of changing existing field # # result_key = "method" # # ## Multiple conversions may be applied for one field sequentially # ## Let's extract one more value # # [[processors.regex.fields]] # # key = "request" # # pattern = ".*category=(\\w+).*" # # replacement = "${1}" # # result_key = "search_category" # # Rename measurements, tags, and fields that pass through this filter. # [[processors.rename]] # # Perform string processing on tags, fields, and measurements # [[processors.strings]] # ## Convert a tag value to uppercase # # [[processors.strings.uppercase]] # # tag = "method" # # ## Convert a field value to lowercase and store in a new field # # [[processors.strings.lowercase]] # # field = "uri_stem" # # dest = "uri_stem_normalised" # # ## Trim leading and trailing whitespace using the default cutset # # [[processors.strings.trim]] # # field = "message" # # ## Trim leading characters in cutset # # [[processors.strings.trim_left]] # # field = "message" # # cutset = "\t" # # ## Trim trailing characters in cutset # # [[processors.strings.trim_right]] # # field = "message" # # cutset = "\r\n" # # ## Trim the given prefix from the field # # [[processors.strings.trim_prefix]] # # field = "my_value" # # prefix = "my_" # # ## Trim the given suffix from the field # # [[processors.strings.trim_suffix]] # # field = "read_count" # # suffix = "_count" # # ## 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" # # 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"] # # Print all metrics that pass through this filter. # [[processors.topk]] # ## How many seconds between aggregations # # period = 10 # # ## How many top metrics to return # # k = 10 # # ## Over which tags should the aggregation be done. Globs can be specified, in # ## which case any tag matching the glob will aggregated over. If set to an # ## empty list is no aggregation over tags is done # # group_by = ['*'] # # ## Over which fields are the top k are calculated # # fields = ["value"] # # ## What aggregation to use. Options: sum, mean, min, max # # aggregation = "mean" # # ## Instead of the top k largest metrics, return the bottom k lowest metrics # # bottomk = false # # ## The plugin assigns each metric a GroupBy tag generated from its name and # ## tags. If this setting is different than "" the plugin will add a # ## tag (which name will be the value of this setting) to each metric with # ## the value of the calculated GroupBy tag. Useful for debugging # # add_groupby_tag = "" # # ## These settings provide a way to know the position of each metric in # ## the top k. The 'add_rank_field' setting allows to specify for which # ## fields the position is required. If the list is non empty, then a field # ## will be added to each and every metric for each string present in this # ## setting. This field will contain the ranking of the group that # ## the metric belonged to when aggregated over that field. # ## The name of the field will be set to the name of the aggregation field, # ## suffixed with the string '_topk_rank' # # add_rank_fields = [] # # ## These settings provide a way to know what values the plugin is generating # ## when aggregating metrics. The 'add_agregate_field' setting allows to # ## specify for which fields the final aggregation value is required. If the # ## list is non empty, then a field will be added to each every metric for # ## each field present in this setting. This field will contain # ## the computed aggregation for the group that the metric belonged to when # ## aggregated over that field. # ## The name of the field will be set to the name of the aggregation field, # ## suffixed with the string '_topk_aggregate' # # add_aggregate_fields = [] # # 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"] # # 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 # # ## Example config that aggregates all fields of the metric. # # [[aggregators.histogram.config]] # # ## The set of buckets. # # buckets = [0.0, 15.6, 34.5, 49.1, 71.5, 80.5, 94.5, 100.0] # # ## The name of metric. # # measurement_name = "cpu" # # ## Example config that aggregates only specific fields of the metric. # # [[aggregators.histogram.config]] # # ## The set of buckets. # # buckets = [0.0, 10.0, 20.0, 30.0, 40.0, 50.0, 60.0, 70.0, 80.0, 90.0, 100.0] # # ## The name of metric. # # measurement_name = "diskio" # # ## The concrete fields of metric # # fields = ["io_time", "read_time", "write_time"] # # 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 # # 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" # # ## Required ActiveMQ Endpoint # ## deprecated in 1.11; use the url option # # server = "127.0.0.1" # # port = 8161 # # ## Credentials for basic HTTP authentication # # username = "admin" # # password = "admin" # # ## Required ActiveMQ webadmin root path # # webadmin = "admin" # # ## Maximum time to receive response. # # response_timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read stats from aerospike server(s) # [[inputs.aerospike]] # ## Aerospike servers to connect to (with port) # ## This plugin will query all namespaces the aerospike # ## server has configured and get stats for them. # servers = ["localhost:3000"] # # # username = "telegraf" # # password = "pa$$word" # # ## Optional TLS Config # # enable_tls = false # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## If false, skip chain & host verification # # insecure_skip_verify = true # # 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 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 # # Collect bond interface status, slaves statuses and failures count # [[inputs.bond]] # ## Sets 'proc' directory path # ## If not specified, then default is /proc # # host_proc = "/proc" # # ## By default, telegraf gather stats for all bond interfaces # ## Setting interfaces will restrict the stats to the specified # ## bond interfaces. # # bond_interfaces = ["bond0"] # # Collect Kafka topics and consumers status from Burrow HTTP API. # [[inputs.burrow]] # ## Burrow API endpoints in format "schema://host:port". # ## Default is "http://localhost:8000". # servers = ["http://localhost:8000"] # # ## Override Burrow API prefix. # ## Useful when Burrow is behind reverse-proxy. # # api_prefix = "/v3/kafka" # # ## Maximum time to receive response. # # response_timeout = "5s" # # ## Limit per-server concurrent connections. # ## Useful in case of large number of topics or consumer groups. # # concurrent_connections = 20 # # ## Filter clusters, default is no filtering. # ## Values can be specified as glob patterns. # # clusters_include = [] # # clusters_exclude = [] # # ## Filter consumer groups, default is no filtering. # ## Values can be specified as glob patterns. # # groups_include = [] # # groups_exclude = [] # # ## Filter topics, default is no filtering. # ## Values can be specified as glob patterns. # # topics_include = [] # # topics_exclude = [] # # ## Credentials for basic HTTP authentication. # # username = "" # # password = "" # # ## Optional SSL config # # ssl_ca = "/etc/telegraf/ca.pem" # # ssl_cert = "/etc/telegraf/cert.pem" # # ssl_key = "/etc/telegraf/key.pem" # # insecure_skip_verify = false # # Collects performance metrics from the MON and OSD nodes in a Ceph storage cluster. # [[inputs.ceph]] # ## This is the recommended interval to poll. Too frequent and you will lose # ## data points due to timeouts during rebalancing and recovery # interval = '1m' # # ## All configuration values are optional, defaults are shown below # # ## location of ceph binary # ceph_binary = "/usr/bin/ceph" # # ## directory in which to look for socket files # socket_dir = "/var/run/ceph" # # ## prefix of MON and OSD socket files, used to determine socket type # mon_prefix = "ceph-mon" # osd_prefix = "ceph-osd" # # ## suffix used to identify socket files # socket_suffix = "asok" # # ## Ceph user to authenticate as # ceph_user = "client.admin" # # ## Ceph configuration to use to locate the cluster # ceph_config = "/etc/ceph/ceph.conf" # # ## Whether to gather statistics via the admin socket # gather_admin_socket_stats = true # # ## Whether to gather statistics via ceph commands # gather_cluster_stats = false # # Read specific statistics per cgroup # [[inputs.cgroup]] # ## Directories in which to look for files, globs are supported. # ## Consider restricting paths to the set of cgroups you really # ## want to monitor if you have a large number of cgroups, to avoid # ## any cardinality issues. # # paths = [ # # "/cgroup/memory", # # "/cgroup/memory/child1", # # "/cgroup/memory/child2/*", # # ] # ## cgroup stat fields, as file names, globs are supported. # ## these file names are appended to each path from above. # # files = ["memory.*usage*", "memory.limit_in_bytes"] # # Get standard chrony metrics, requires chronyc executable. # [[inputs.chrony]] # ## If true, chronyc tries to perform a DNS lookup for the time server. # # dns_lookup = false # # Pull Metric Statistics from Amazon CloudWatch # [[inputs.cloudwatch]] # ## Amazon Region # region = "us-east-1" # # ## Amazon Credentials # ## Credentials are loaded in the following order # ## 1) Assumed credentials via STS if role_arn is specified # ## 2) explicit credentials from 'access_key' and 'secret_key' # ## 3) shared profile from 'profile' # ## 4) environment variables # ## 5) shared credentials file # ## 6) EC2 Instance Profile # # access_key = "" # # secret_key = "" # # token = "" # # role_arn = "" # # profile = "" # # shared_credential_file = "" # # ## Endpoint to make request against, the correct endpoint is automatically # ## determined and this option should only be set if you wish to override the # ## default. # ## ex: endpoint_url = "http://localhost:8000" # # endpoint_url = "" # # # The minimum period for Cloudwatch metrics is 1 minute (60s). However not all # # metrics are made available to the 1 minute period. Some are collected at # # 3 minute, 5 minute, or larger intervals. See https://aws.amazon.com/cloudwatch/faqs/#monitoring. # # Note that if a period is configured that is smaller than the minimum for a # # particular metric, that metric will not be returned by the Cloudwatch API # # and will not be collected by Telegraf. # # # ## Requested CloudWatch aggregation Period (required - must be a multiple of 60s) # period = "5m" # # ## Collection Delay (required - must account for metrics availability via CloudWatch API) # delay = "5m" # # ## Recommended: use metric 'interval' that is a multiple of 'period' to avoid # ## gaps or overlap in pulled data # interval = "5m" # # ## Configure the TTL for the internal cache of metrics. # # cache_ttl = "1h" # # ## Metric Statistic Namespace (required) # 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. # # [[inputs.cloudwatch.metrics.dimensions]] # # name = "LoadBalancerName" # # value = "p-example" # # Collects conntrack stats from the configured directories and files. # [[inputs.conntrack]] # ## The following defaults would work with multiple versions of conntrack. # ## Note the nf_ and ip_ filename prefixes are mutually exclusive across # ## kernel versions, as are the directory locations. # # ## Superset of filenames to look for within the conntrack dirs. # ## Missing files will be ignored. # files = ["ip_conntrack_count","ip_conntrack_max", # "nf_conntrack_count","nf_conntrack_max"] # # ## Directories to search within for the conntrack files above. # ## Missing directrories will be ignored. # dirs = ["/proc/sys/net/ipv4/netfilter","/proc/sys/net/netfilter"] # # Gather health check statuses from services registered in Consul # [[inputs.consul]] # ## Consul server address # # address = "localhost" # # ## URI scheme for the Consul server, one of "http", "https" # # scheme = "http" # # ## ACL token used in every request # # token = "" # # ## HTTP Basic Authentication username and password. # # username = "" # # password = "" # # ## Data 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 one or many couchbase clusters # [[inputs.couchbase]] # ## specify servers via a url matching: # ## [protocol://][:password]@address[:port] # ## e.g. # ## http://couchbase-0.example.com/ # ## http://admin:secret@couchbase-0.example.com:8091/ # ## # ## If no servers are specified, then localhost is used as the host. # ## If no protocol is specified, HTTP is used. # ## If no port is specified, 8091 is used. # servers = ["http://localhost:8091"] # # Read CouchDB Stats from one or more servers # [[inputs.couchdb]] # ## Works with CouchDB stats endpoints out of the box # ## Multiple Hosts from which to read CouchDB stats: # hosts = ["http://localhost:8086/_stats"] # # ## Use HTTP Basic Authentication. # # basic_username = "telegraf" # # basic_password = "p@ssw0rd" # # Input plugin for DC/OS metrics # [[inputs.dcos]] # ## The DC/OS cluster URL. # cluster_url = "https://dcos-ee-master-1" # # ## The ID of the service account. # service_account_id = "telegraf" # ## The private key file for the service account. # service_account_private_key = "/etc/telegraf/telegraf-sa-key.pem" # # ## Path containing login token. If set, will read on every gather. # # token_file = "/home/dcos/.dcos/token" # # ## In all filter options if both include and exclude are empty all items # ## will be collected. Arrays may contain glob patterns. # ## # ## Node IDs to collect metrics from. If a node is excluded, no metrics will # ## be collected for its containers or apps. # # node_include = [] # # node_exclude = [] # ## Container IDs to collect container metrics from. # # container_include = [] # # container_exclude = [] # ## Container IDs to collect app metrics from. # # app_include = [] # # app_exclude = [] # # ## Maximum concurrent connections to the cluster. # # max_connections = 10 # ## Maximum time to receive a response from cluster. # # response_timeout = "20s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## If false, skip chain & host verification # # insecure_skip_verify = true # # ## Recommended filtering to reduce series cardinality. # # [inputs.dcos.tagdrop] # # path = ["/var/lib/mesos/slave/slaves/*"] # # Read metrics from one or many disque servers # [[inputs.disque]] # ## An array of URI to gather stats about. Specify an ip or hostname # ## with optional port and password. # ## ie disque://localhost, disque://10.10.3.33:18832, 10.0.0.1:10000, etc. # ## If no servers are specified, then localhost is used as the host. # servers = ["localhost"] # # Provide a native collection for dmsetup based statistics for dm-cache # [[inputs.dmcache]] # ## Whether to report per-device stats or not # per_device = true # # Query given DNS server and gives statistics # [[inputs.dns_query]] # ## servers to query # servers = ["8.8.8.8"] # # ## Network is the network protocol name. # # network = "udp" # # ## Domains or subdomains to query. # # domains = ["."] # # ## Query record type. # ## Posible values: A, AAAA, CNAME, MX, NS, PTR, TXT, SOA, SPF, SRV. # # record_type = "A" # # ## Dns server port. # # port = 53 # # ## Query timeout in seconds. # # timeout = 2 # # Read metrics about docker containers # [[inputs.docker]] # ## Docker Endpoint # ## To use TCP, set endpoint = "tcp://[ip]:[port]" # ## To use environment variables (ie, docker-machine), set endpoint = "ENV" # endpoint = "unix:///var/run/docker.sock" # # ## Set to true to collect Swarm metrics(desired_replicas, running_replicas) # gather_services = false # # ## Only collect metrics for these containers, collect all if empty # container_names = [] # # ## Set the source tag for the metrics to the container ID hostname, eg first 12 chars # source_tag = false # # ## Containers to include and exclude. Globs accepted. # ## Note that an empty array for both will include all containers # container_name_include = [] # container_name_exclude = [] # # ## Container states to include and exclude. Globs accepted. # ## When empty only containers in the "running" state will be captured. # ## example: container_state_include = ["created", "restarting", "running", "removing", "paused", "exited", "dead"] # ## example: container_state_exclude = ["created", "restarting", "running", "removing", "paused", "exited", "dead"] # # container_state_include = [] # # container_state_exclude = [] # # ## Timeout for docker list, info, and stats commands # timeout = "5s" # # ## Whether to report for each container per-device blkio (8:0, 8:1...) and # ## network (eth0, eth1, ...) stats or not # perdevice = true # # ## Whether to report for each container total blkio and network stats or not # total = false # # ## Which environment variables should we use as a tag # ##tag_env = ["JAVA_HOME", "HEAP_SIZE"] # # ## docker labels to include and exclude as tags. Globs accepted. # ## Note that an empty array for both will include all labels as tags # docker_label_include = [] # docker_label_exclude = [] # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read statistics from one or many dovecot servers # [[inputs.dovecot]] # ## specify dovecot servers via an address:port list # ## e.g. # ## localhost:24242 # ## # ## If no servers are specified, then localhost is used as the host. # servers = ["localhost:24242"] # # ## Type is one of "user", "domain", "ip", or "global" # type = "global" # # ## Wildcard matches like "*.com". An empty string "" is same as "*" # ## If type = "ip" filters should be <IP/network> # filters = [""] # # Read metrics about docker containers from Fargate/ECS v2 meta endpoints. # [[inputs.ecs]] # ## ECS metadata url # # endpoint_url = "http://169.254.170.2" # # ## 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 # 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 # # 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"] # # Read metrics from one or more commands that can output to stdout # [[inputs.exec]] # ## Commands array # commands = [ # "/tmp/test.sh", # "/usr/bin/mycollector --foo=bar", # "/tmp/collect_*.sh" # ] # # ## Timeout for each command to complete. # timeout = "5s" # # ## measurement name suffix (for separating different commands) # name_suffix = "_mycollector" # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # Read metrics from fail2ban. # [[inputs.fail2ban]] # ## Use sudo to run fail2ban-client # use_sudo = false # # Read devices value(s) from a Fibaro controller # [[inputs.fibaro]] # ## Required Fibaro controller address/hostname. # ## Note: at the time of writing this plugin, Fibaro only implemented http - no https available # url = "http://<controller>:80" # # ## Required credentials to access the API (http://<controller/api/<component>) # username = "<username>" # password = "<password>" # # ## Amount of time allowed to complete the HTTP request # # timeout = "5s" # # Reload and gather from file[s] on telegraf's interval. # [[inputs.file]] # ## Files to parse each interval. # ## These accept standard unix glob matching rules, but with the addition of # ## ** as a "super asterisk". ie: # ## /var/log/**.log -> recursively find all .log files in /var/log # ## /var/log/*/*.log -> find all .log files with a parent dir in /var/log # ## /var/log/apache.log -> only read the apache log file # files = ["/var/log/apache/access.log"] # # ## The dataformat to be read from files # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # ## Name a tag containing the name of the file the data was parsed from. Leave empty # ## to disable. # # file_tag = "" # # Count files in a directory # [[inputs.filecount]] # ## Directory to gather stats about. # ## deprecated in 1.9; use the directories option # # directory = "/var/cache/apt/archives" # # ## Directories to gather stats about. # ## This accept standard unit glob matching rules, but with the addition of # ## ** as a "super asterisk". ie: # ## /var/log/** -> recursively find all directories in /var/log and count files in each directories # ## /var/log/*/* -> find all directories with a parent dir in /var/log and count files in each directories # ## /var/log -> count all files in /var/log and all of its subdirectories # directories = ["/var/cache/apt/archives"] # # ## Only count files that match the name pattern. Defaults to "*". # name = "*.deb" # # ## Count files in subdirectories. Defaults to true. # recursive = false # # ## Only count regular files. Defaults to true. # regular_only = true # # ## Follow all symlinks while walking the directory tree. Defaults to false. # follow_symlinks = false # # ## Only count files that are at least this size. If size is # ## a negative number, only count files that are smaller than the # ## absolute value of size. Acceptable units are B, KiB, MiB, KB, ... # ## Without quotes and units, interpreted as size in bytes. # size = "0B" # # ## Only count files that have not been touched for at least this # ## duration. If mtime is negative, only count files that have been # ## touched in this duration. Defaults to "0s". # mtime = "0s" # # Read stats about given file(s) # [[inputs.filestat]] # ## Files to gather stats about. # ## These accept standard unix glob matching rules, but with the addition of # ## ** as a "super asterisk". ie: # ## "/var/log/**.log" -> recursively find all .log files in /var/log # ## "/var/log/*/*.log" -> find all .log files with a parent dir in /var/log # ## "/var/log/apache.log" -> just tail the apache log file # ## # ## See https://github.com/gobwas/glob for more examples # ## # files = ["/var/log/**.log"] # # ## If true, read the entire file and calculate an md5 checksum. # md5 = false # # Read real time temps from fireboard.io servers # [[inputs.fireboard]] # ## Specify auth token for your account # auth_token = "invalidAuthToken" # ## You can override the fireboard server URL if necessary # # url = https://fireboard.io/api/v1/devices.json # ## You can set a different http_timeout if you need to # ## You should set a string using an number and time indicator # ## for example "12s" for 12 seconds. # # http_timeout = "4s" # # Read metrics exposed by fluentd in_monitor plugin # [[inputs.fluentd]] # ## This plugin reads information exposed by fluentd (using /api/plugins.json endpoint). # ## # ## Endpoint: # ## - only one URI is allowed # ## - https is not supported # endpoint = "http://localhost:24220/api/plugins.json" # # ## Define which plugins have to be excluded (based on "type" field - e.g. monitor_agent) # exclude = [ # "monitor_agent", # "dummy", # ] # # Gather repository information from GitHub hosted repositories. # [[inputs.github]] # ## List of repositories to monitor. # repositories = [ # "influxdata/telegraf", # "influxdata/influxdb" # ] # # ## Github API access token. Unauthenticated requests are limited to 60 per hour. # # access_token = "" # # ## Github API enterprise url. Github Enterprise accounts must specify their base url. # # enterprise_base_url = "" # # ## Timeout for HTTP requests. # # http_timeout = "5s" # # Read flattened metrics from one or more GrayLog HTTP endpoints # [[inputs.graylog]] # ## API endpoint, currently supported API: # ## # ## - multiple (Ex http://<host>:12900/system/metrics/multiple) # ## - namespace (Ex http://<host>:12900/system/metrics/namespace/{namespace}) # ## # ## For namespace endpoint, the metrics array will be ignored for that call. # ## Endpoint can contain namespace and multiple type calls. # ## # ## Please check http://[graylog-server-ip]:12900/api-browser for full list # ## of endpoints # servers = [ # "http://[graylog-server-ip]:12900/system/metrics/multiple", # ] # # ## Metrics list # ## List of metrics can be found on Graylog webservice documentation. # ## Or by hitting the the web service api at: # ## http://[graylog-host]:12900/system/metrics # metrics = [ # "jvm.cl.loaded", # "jvm.memory.pools.Metaspace.committed" # ] # # ## Username and password # username = "" # password = "" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read metrics of haproxy, via socket or csv stats page # [[inputs.haproxy]] # ## An array of address to gather stats about. Specify an ip on hostname # ## with optional port. ie localhost, 10.10.3.33:1936, etc. # ## Make sure you specify the complete path to the stats endpoint # ## including the protocol, ie http://10.10.3.33:1936/haproxy?stats # # ## If no servers are specified, then default to 127.0.0.1:1936/haproxy?stats # servers = ["http://myhaproxy.com:1936/haproxy?stats"] # # ## Credentials for basic HTTP authentication # # username = "admin" # # password = "admin" # # ## You can also use local socket with standard wildcard globbing. # ## Server address not starting with 'http' will be treated as a possible # ## socket, so both examples below are valid. # # servers = ["socket:/run/haproxy/admin.sock", "/run/haproxy/*.sock"] # # ## By default, some of the fields are renamed from what haproxy calls them. # ## Setting this option to true results in the plugin keeping the original # ## field names. # # keep_field_names = false # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Monitor disks' temperatures using hddtemp # [[inputs.hddtemp]] # ## By default, telegraf gathers temps data from all disks detected by the # ## hddtemp. # ## # ## Only collect temps from the selected disks. # ## # ## A * as the device name will return the temperature values of all disks. # ## # # address = "127.0.0.1:7634" # # devices = ["sda", "*"] # # Read formatted metrics from one or more HTTP endpoints # [[inputs.http]] # ## One or more URLs from which to read formatted metrics # urls = [ # "http://localhost/metrics" # ] # # ## HTTP method # # method = "GET" # # ## Optional HTTP headers # # headers = {"X-Special-Header" = "Special-Value"} # # ## Optional HTTP Basic Auth Credentials # # username = "username" # # password = "pa$$word" # # ## HTTP entity-body to send with POST/PUT requests. # # body = "" # # ## HTTP Content-Encoding for write request body, can be set to "gzip" to # ## compress body or "identity" to apply no encoding. # # content_encoding = "identity" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Amount of time allowed to complete the HTTP request # # timeout = "5s" # # ## List of success status codes # # success_status_codes = [200] # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # # data_format = "influx" # # HTTP/HTTPS request given an address a method and a timeout # [[inputs.http_response]] # ## Deprecated in 1.12, use 'urls' # ## Server address (default http://localhost) # # address = "http://localhost" # # ## List of urls to query. # # urls = ["http://localhost"] # # ## Set http_proxy (telegraf uses the system wide proxy settings if it's is not set) # # http_proxy = "http://localhost:8888" # # ## Set response_timeout (default 5 seconds) # # response_timeout = "5s" # # ## HTTP Request Method # # method = "GET" # # ## Whether to follow redirects from the server (defaults to false) # # follow_redirects = false # # ## Optional HTTP Request Body # # body = ''' # # {'fake':'data'} # # ''' # # ## Optional substring or regex match in body of the response # # response_string_match = "\"service_status\": \"up\"" # # response_string_match = "ok" # # response_string_match = "\".*_status\".?:.?\"up\"" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## HTTP Request Headers (all values must be strings) # # [inputs.http_response.headers] # # Host = "github.com" # # ## Interface to use when dialing an address # # interface = "eth0" # # Read flattened metrics from one or more JSON HTTP endpoints # [[inputs.httpjson]] # ## NOTE This plugin only reads numerical measurements, strings and booleans # ## will be ignored. # # ## Name for the service being polled. Will be appended to the name of the # ## measurement e.g. httpjson_webserver_stats # ## # ## Deprecated (1.3.0): Use name_override, name_suffix, name_prefix instead. # name = "webserver_stats" # # ## URL of each server in the service's cluster # servers = [ # "http://localhost:9999/stats/", # "http://localhost:9998/stats/", # ] # ## Set response_timeout (default 5 seconds) # response_timeout = "5s" # # ## HTTP method to use: GET or POST (case-sensitive) # method = "GET" # # ## List of tag names to extract from top-level of JSON server response # # tag_keys = [ # # "my_tag_1", # # "my_tag_2" # # ] # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## HTTP parameters (all values must be strings). For "GET" requests, data # ## will be included in the query. For "POST" requests, data will be included # ## in the request body as "x-www-form-urlencoded". # # [inputs.httpjson.parameters] # # event_type = "cpu_spike" # # threshold = "0.75" # # ## HTTP Headers (all values must be strings) # # [inputs.httpjson.headers] # # X-Auth-Token = "my-xauth-token" # # apiVersion = "v1" # # Gather Icinga2 status # [[inputs.icinga2]] # ## Required Icinga2 server address # # server = "https://localhost:5665" # # ## Required Icinga2 object type ("services" or "hosts") # # object_type = "services" # # ## Credentials for basic HTTP authentication # # username = "admin" # # password = "admin" # # ## Maximum time to receive response. # # response_timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = true # # Read InfluxDB-formatted JSON metrics from one or more HTTP endpoints # [[inputs.influxdb]] # ## Works with InfluxDB debug endpoints out of the box, # ## but other services can use this format too. # ## See the influxdb plugin's README for more details. # # ## Multiple URLs from which to read InfluxDB-formatted JSON # ## Default is "http://localhost:8086/debug/vars". # urls = [ # "http://localhost:8086/debug/vars" # ] # # ## Username and password to send using HTTP Basic Authentication. # # username = "" # # password = "" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## http request & header timeout # timeout = "5s" # # Collect statistics about itself # [[inputs.internal]] # ## If true, collect telegraf memory stats. # # collect_memstats = true # # 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" # ## # ## optionally force session privilege level. Can be CALLBACK, USER, OPERATOR, ADMINISTRATOR # # privilege = "ADMINISTRATOR" # ## # ## optionally specify one or more servers via a url matching # ## [username[:password]@][protocol[(address)]] # ## e.g. # ## root:passwd@lan(127.0.0.1) # ## # ## if no servers are specified, local machine sensor stats will be queried # ## # # servers = ["USERID:PASSW0RD@lan(192.168.1.1)"] # # ## Recommended: use metric 'interval' that is a multiple of 'timeout' to avoid # ## gaps or overlap in pulled data # interval = "30s" # # ## Timeout for the ipmitool command to complete # timeout = "20s" # # ## Schema Version: (Optional, defaults to version 1) # metric_version = 2 # # Gather packets and bytes counters from Linux ipsets # [[inputs.ipset]] # ## By default, we only show sets which have already matched at least 1 packet. # ## set include_unmatched_sets = true to gather them all. # include_unmatched_sets = false # ## Adjust your sudo settings appropriately if using this option ("sudo ipset save") # use_sudo = false # ## The default timeout of 1s for ipset execution can be overridden here: # # timeout = "1s" # # Gather packets and bytes throughput from iptables # [[inputs.iptables]] # ## iptables require root access on most systems. # ## Setting 'use_sudo' to true will make use of sudo to run iptables. # ## Users must configure sudo to allow telegraf user to run iptables with no password. # ## iptables can be restricted to only list command "iptables -nvL". # use_sudo = false # ## Setting 'use_lock' to true runs iptables with the "-w" option. # ## Adjust your sudo settings appropriately if using this option ("iptables -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 exclude from gathering # # job_exclude = [ "job1", "job2/subjob1/subjob2", "job3/*"] # # ## Nodes to exclude from gathering # # node_exclude = [ "node1", "node2" ] # # ## Worker pool for jenkins plugin only # ## Empty this field will use default value 5 # # max_connections = 5 # # Read JMX metrics through Jolokia # [[inputs.jolokia]] # # DEPRECATED: the jolokia plugin has been deprecated in favor of the # # jolokia2 plugin # # see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/jolokia2 # # ## This is the context root used to compose the jolokia url # ## NOTE that Jolokia requires a trailing slash at the end of the context root # ## NOTE that your jolokia security policy must allow for POST requests. # context = "/jolokia/" # # ## This specifies the mode used # # mode = "proxy" # # # ## When in proxy mode this section is used to specify further # ## proxy address configurations. # ## Remember to change host address to fit your environment. # # [inputs.jolokia.proxy] # # host = "127.0.0.1" # # port = "8080" # # ## Optional http timeouts # ## # ## response_header_timeout, if non-zero, specifies the amount of time to wait # ## for a server's response headers after fully writing the request. # # response_header_timeout = "3s" # ## # ## client_timeout specifies a time limit for requests made by this client. # ## Includes connection time, any redirects, and reading the response body. # # client_timeout = "4s" # # ## Attribute delimiter # ## # ## When multiple attributes are returned for a single # ## [inputs.jolokia.metrics], the field name is a concatenation of the metric # ## name, and the attribute name, separated by the given delimiter. # # delimiter = "_" # # ## List of servers exposing jolokia read service # [[inputs.jolokia.servers]] # name = "as-server-01" # host = "127.0.0.1" # port = "8080" # # username = "myuser" # # password = "mypassword" # # ## List of metrics collected on above servers # ## Each metric consists in a name, a jmx path and either # ## a pass or drop slice attribute. # ## This collect all heap memory usage metrics. # [[inputs.jolokia.metrics]] # name = "heap_memory_usage" # mbean = "java.lang:type=Memory" # attribute = "HeapMemoryUsage" # # ## This collect thread counts metrics. # [[inputs.jolokia.metrics]] # name = "thread_count" # mbean = "java.lang:type=Threading" # attribute = "TotalStartedThreadCount,ThreadCount,DaemonThreadCount,PeakThreadCount" # # ## This collect number of class loaded/unloaded counts metrics. # [[inputs.jolokia.metrics]] # name = "class_count" # mbean = "java.lang:type=ClassLoading" # attribute = "LoadedClassCount,UnloadedClassCount,TotalLoadedClassCount" # # Read JMX metrics from a Jolokia REST agent endpoint # [[inputs.jolokia2_agent]] # # default_tag_prefix = "" # # default_field_prefix = "" # # default_field_separator = "." # # # Add agents URLs to query # urls = ["http://localhost:8080/jolokia"] # # username = "" # # password = "" # # response_timeout = "5s" # # ## Optional TLS config # # tls_ca = "/var/private/ca.pem" # # tls_cert = "/var/private/client.pem" # # tls_key = "/var/private/client-key.pem" # # insecure_skip_verify = false # # ## Add metrics to read # [[inputs.jolokia2_agent.metric]] # name = "java_runtime" # mbean = "java.lang:type=Runtime" # paths = ["Uptime"] # # Read JMX metrics from a Jolokia REST proxy endpoint # [[inputs.jolokia2_proxy]] # # default_tag_prefix = "" # # default_field_prefix = "" # # default_field_separator = "." # # ## Proxy agent # url = "http://localhost:8080/jolokia" # # username = "" # # password = "" # # response_timeout = "5s" # # ## Optional TLS config # # tls_ca = "/var/private/ca.pem" # # tls_cert = "/var/private/client.pem" # # tls_key = "/var/private/client-key.pem" # # insecure_skip_verify = false # # ## Add proxy targets to query # # default_target_username = "" # # default_target_password = "" # [[inputs.jolokia2_proxy.target]] # url = "service:jmx:rmi:///jndi/rmi://targethost:9999/jmxrmi" # # username = "" # # password = "" # # ## Add metrics to read # [[inputs.jolokia2_proxy.metric]] # name = "java_runtime" # mbean = "java.lang:type=Runtime" # paths = ["Uptime"] # # Read Kapacitor-formatted JSON metrics from one or more HTTP endpoints # [[inputs.kapacitor]] # ## Multiple URLs from which to read Kapacitor-formatted JSON # ## Default is "http://localhost:9092/kapacitor/v1/debug/vars". # urls = [ # "http://localhost:9092/kapacitor/v1/debug/vars" # ] # # ## Time limit for http requests # timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # 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" ] # # ## 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 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" # # ## 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", # # ] # # 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 = "" # # Retrives information on a specific host in a MarkLogic Cluster # [[inputs.marklogic]] # ## Base URL of the MarkLogic HTTP Server. # url = "http://localhost:8002" # # ## List of specific hostnames to retrieve information. At least (1) required. # # hosts = ["hostname1", "hostname2"] # # ## Using HTTP Basic Authentication. Management API requires 'manage-user' role privileges # # username = "myuser" # # password = "mypassword" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Read metrics from one or many mcrouter servers # [[inputs.mcrouter]] # ## An array of address to gather stats about. Specify an ip or hostname # ## with port. ie tcp://localhost:11211, tcp://10.0.0.1:11211, etc. # servers = ["tcp://localhost:11211", "unix:///var/run/mcrouter.sock"] # # ## Timeout for metric collections from all servers. Minimum timeout is "1s". # # timeout = "5s" # # Read metrics from one or many memcached servers # [[inputs.memcached]] # ## An array of address to gather stats about. Specify an ip on hostname # ## with optional port. ie localhost, 10.0.0.1:11211, etc. # servers = ["localhost:11211"] # # unix_sockets = ["/var/run/memcached.sock"] # # Telegraf plugin for gathering metrics from N Mesos masters # [[inputs.mesos]] # ## Timeout, in ms. # timeout = 100 # # ## A list of Mesos masters. # masters = ["http://localhost:5050"] # # ## Master metrics groups to be collected, by default, all enabled. # master_collections = [ # "resources", # "master", # "system", # "agents", # "frameworks", # "framework_offers", # "tasks", # "messages", # "evqueue", # "registrar", # "allocator", # ] # # ## A list of Mesos slaves, default is [] # # slaves = [] # # ## Slave metrics groups to be collected, by default, all enabled. # # slave_collections = [ # # "resources", # # "agent", # # "system", # # "executors", # # "tasks", # # "messages", # # ] # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Collects scores from a Minecraft server's scoreboard using the RCON protocol # [[inputs.minecraft]] # ## Address of the Minecraft server. # # server = "localhost" # # ## Server RCON Port. # # port = "25575" # # ## Server RCON Password. # password = "" # # ## Uncomment to remove deprecated metric components. # # tagdrop = ["server"] # # Read metrics from one or many MongoDB servers # [[inputs.mongodb]] # ## An array of URLs of the form: # ## "mongodb://" [user ":" pass "@"] host [ ":" port] # ## For example: # ## mongodb://user:auth_key@10.10.3.30:27017, # ## mongodb://10.10.3.33:18832, # servers = ["mongodb://127.0.0.1:27017"] # # ## When true, collect per database stats # # gather_perdb_stats = false # # ## When true, collect per collection stats # # gather_col_stats = 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 # # 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 databasee tables # # table_schema_databases = [] # # ## gather metrics from INFORMATION_SCHEMA.TABLES for databases provided above list # # gather_table_schema = false # # ## gather thread state counts from INFORMATION_SCHEMA.PROCESSLIST # # gather_process_list = 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 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 # # ## 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 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_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 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 to $PATH via exec.LookPath # # bin_path = "/usr/bin/nvidia-smi" # # ## Optional: timeout for GPU polling # # timeout = "5s" # # OpenLDAP cn=Monitor plugin # [[inputs.openldap]] # host = "localhost" # port = 389 # # # ldaps, starttls, or no encryption. default is an empty string, disabling all encryption. # # note that port will likely need to be changed to 636 for ldaps # # valid options: "" | "starttls" | "ldaps" # tls = "" # # # skip peer certificate verification. Default is false. # insecure_skip_verify = false # # # Path to PEM-encoded Root certificate to use to verify server certificate # tls_ca = "/etc/ssl/certs.pem" # # # dn/password to bind with. If bind_dn is empty, an anonymous bind is performed. # bind_dn = "" # bind_password = "" # # # Reverse metric names so they sort more naturally. Recommended. # # This defaults to false if unset, but is set to true when generating a new config # reverse_metric_names = true # # 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 overriden with (in milliseconds): # timeout = 1000 # # 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 = "" # # ## 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 # # 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>) # # exe = "nginx" # ## pattern as argument for pgrep (ie, pgrep -f <pattern>) # # pattern = "nginx" # ## user as argument for pgrep (ie, pgrep -u <user>) # # user = "nginx" # ## Systemd unit name # # systemd_unit = "nginx.service" # ## CGroup name or path # # cgroup = "systemd/system.slice/nginx.service" # # ## Windows service name # # win_service = "" # # ## override for process_name # ## This is optional; default is sourced from /proc/<pid>/status # # process_name = "bar" # # ## Field name prefix # # prefix = "" # # ## When true add the full cmdline as a tag. # # cmdline_tag = false # # ## Add PID as a tag instead of a field; useful to differentiate between # ## processes whose tags are otherwise the same. Can create a large number # ## of series, use judiciously. # # pid_tag = false # # ## Method to use when finding process IDs. Can be one of 'pgrep', or # ## 'native'. The pgrep finder calls the pgrep executable in the PATH while # ## the native finder performs the search directly in a manor dependent on the # ## platform. Default is 'pgrep' # # pid_finder = "pgrep" # # Reads last_run_summary.yaml file and converts to measurments # [[inputs.puppetagent]] # ## Location of puppet last run summary file # location = "/var/lib/puppet/state/last_run_summary.yaml" # # Reads metrics from RabbitMQ servers via the Management Plugin # [[inputs.rabbitmq]] # ## Management Plugin url. (default: http://localhost:15672) # # url = "http://localhost:15672" # ## Tag added to rabbitmq_overview series; deprecated: use tags # # name = "rmq-server-1" # ## Credentials # # username = "guest" # # password = "guest" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Optional request timeouts # ## # ## ResponseHeaderTimeout, if non-zero, specifies the amount of time to wait # ## for a server's response headers after fully writing the request. # # header_timeout = "3s" # ## # ## client_timeout specifies a time limit for requests made by this client. # ## Includes connection time, any redirects, and reading the response body. # # client_timeout = "4s" # # ## A list of nodes to gather as the rabbitmq_node measurement. If not # ## specified, metrics for all nodes are gathered. # # nodes = ["rabbit@node1", "rabbit@node2"] # # ## A list of queues to gather as the rabbitmq_queue measurement. If not # ## specified, metrics for all queues are gathered. # # queues = ["telegraf"] # # ## A list of exchanges to gather as the rabbitmq_exchange measurement. If not # ## specified, metrics for all exchanges are gathered. # # exchanges = ["telegraf"] # # ## Queues to include and exclude. Globs accepted. # ## Note that an empty array for both will include all queues # queue_name_include = [] # queue_name_exclude = [] # # ## 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"] # # Read metrics from one or many redis servers # [[inputs.redis]] # ## specify servers via a url matching: # ## [protocol://][:password]@address[:port] # ## e.g. # ## tcp://localhost:6379 # ## tcp://:password@192.168.99.100 # ## unix:///var/run/redis.sock # ## # ## If no servers are specified, then localhost is used as the host. # ## If no port is specified, 6379 is used # servers = ["tcp://localhost:6379"] # # ## specify server password # # password = "s#cr@t%" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = true # # Read metrics from one or many RethinkDB servers # [[inputs.rethinkdb]] # ## An array of URI to gather stats about. Specify an ip or hostname # ## with optional port add password. ie, # ## rethinkdb://user:auth_key@10.10.3.30:28105, # ## rethinkdb://10.10.3.33:18832, # ## 10.0.0.1:10000, etc. # servers = ["127.0.0.1:28015"] # ## # ## If you use actual rethinkdb of > 2.3.0 with username/password authorization, # ## protocol have to be named "rethinkdb2" - it will use 1_0 H. # # servers = ["rethinkdb2://username:password@127.0.0.1:28015"] # ## # ## If you use older versions of rethinkdb (<2.2) with auth_key, protocol # ## have to be named "rethinkdb". # # servers = ["rethinkdb://username:auth_key@127.0.0.1:28015"] # # Read metrics one or many Riak servers # [[inputs.riak]] # # Specify a list of one or more riak http servers # servers = ["http://localhost:8098"] # # Read API usage and limits for a Salesforce organisation # [[inputs.salesforce]] # ## specify your credentials # ## # username = "your_username" # password = "your_password" # ## # ## (optional) security token # # security_token = "your_security_token" # ## # ## (optional) environment type (sandbox or production) # ## default is: production # ## # # environment = "production" # ## # ## (optional) API version (default: "39.0") # ## # # version = "39.0" # # Monitor sensors, requires lm-sensors package # [[inputs.sensors]] # ## Remove numbers from field names. # ## If true, a field name like 'temp1_input' will be changed to 'temp_input'. # # remove_numbers = true # # ## Timeout is the maximum amount of time that the sensors command can run. # # timeout = "5s" # # Read metrics from storage devices supporting S.M.A.R.T. # [[inputs.smart]] # ## Optionally specify the path to the smartctl executable # # path = "/usr/bin/smartctl" # # ## On most platforms smartctl requires root access. # ## Setting 'use_sudo' to true will make use of sudo to run smartctl. # ## Sudo must be configured to to allow the telegraf user to run smartctl # ## without a password. # # use_sudo = false # # ## Skip checking disks in this power mode. Defaults to # ## "standby" to not wake up disks that have stoped rotating. # ## See --nocheck in the man pages for smartctl. # ## smartctl version 5.41 and 5.42 have faulty detection of # ## power mode and might require changing this value to # ## "never" depending on your disks. # # nocheck = "standby" # # ## Gather 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. # # excludes = [ "/dev/pass6" ] # # ## Optionally specify devices and device type, if unset # ## a scan (smartctl --scan) for S.M.A.R.T. devices will # ## done and all found will be included except for the # ## excluded in excludes. # # devices = [ "/dev/ada0 -d atacam" ] # # ## Timeout for the smartctl command to complete. # # timeout = "30s" # # Retrieves SNMP values from remote agents # [[inputs.snmp]] # ## Agent addresses to retrieve values from. # ## example: agents = ["udp://127.0.0.1:161"] # ## agents = ["tcp://127.0.0.1:161"] # agents = ["udp://127.0.0.1:161"] # # ## 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 = "" # # ## Add fields and tables defining the variables you wish to collect. This # ## example collects the system uptime and interface variables. Reference the # ## full plugin documentation for configuration details. # # DEPRECATED! PLEASE USE inputs.snmp INSTEAD. # [[inputs.snmp_legacy]] # ## Use 'oids.txt' file to translate oids to names # ## To generate 'oids.txt' you need to run: # ## snmptranslate -m all -Tz -On | sed -e 's/"//g' > /tmp/oids.txt # ## Or if you have an other MIB folder with custom MIBs # ## snmptranslate -M /mycustommibfolder -Tz -On -m all | sed -e 's/"//g' > oids.txt # snmptranslate_file = "/tmp/oids.txt" # [[inputs.snmp.host]] # address = "192.168.2.2:161" # # SNMP community # community = "public" # default public # # SNMP version (1, 2 or 3) # # Version 3 not supported yet # version = 2 # default 2 # # SNMP response timeout # timeout = 2.0 # default 2.0 # # SNMP request retries # retries = 2 # default 2 # # Which get/bulk do you want to collect for this host # collect = ["mybulk", "sysservices", "sysdescr"] # # Simple list of OIDs to get, in addition to "collect" # get_oids = [] # # [[inputs.snmp.host]] # address = "192.168.2.3:161" # community = "public" # version = 2 # timeout = 2.0 # retries = 2 # collect = ["mybulk"] # get_oids = [ # "ifNumber", # ".1.3.6.1.2.1.1.3.0", # ] # # [[inputs.snmp.get]] # name = "ifnumber" # oid = "ifNumber" # # [[inputs.snmp.get]] # name = "interface_speed" # oid = "ifSpeed" # instance = "0" # # [[inputs.snmp.get]] # name = "sysuptime" # oid = ".1.3.6.1.2.1.1.3.0" # unit = "second" # # [[inputs.snmp.bulk]] # name = "mybulk" # max_repetition = 127 # oid = ".1.3.6.1.2.1.1" # # [[inputs.snmp.bulk]] # name = "ifoutoctets" # max_repetition = 127 # oid = "ifOutOctets" # # [[inputs.snmp.host]] # address = "192.168.2.13:161" # #address = "127.0.0.1:161" # community = "public" # version = 2 # timeout = 2.0 # retries = 2 # #collect = ["mybulk", "sysservices", "sysdescr", "systype"] # collect = ["sysuptime" ] # [[inputs.snmp.host.table]] # name = "iftable3" # include_instances = ["enp5s0", "eth1"] # # # SNMP TABLEs # # table without mapping neither subtables # [[inputs.snmp.table]] # name = "iftable1" # oid = ".1.3.6.1.2.1.31.1.1.1" # # # table without mapping but with subtables # [[inputs.snmp.table]] # name = "iftable2" # oid = ".1.3.6.1.2.1.31.1.1.1" # sub_tables = [".1.3.6.1.2.1.2.2.1.13"] # # # table with mapping but without subtables # [[inputs.snmp.table]] # name = "iftable3" # oid = ".1.3.6.1.2.1.31.1.1.1" # # if empty. get all instances # mapping_table = ".1.3.6.1.2.1.31.1.1.1.1" # # if empty, get all subtables # # # table with both mapping and subtables # [[inputs.snmp.table]] # name = "iftable4" # oid = ".1.3.6.1.2.1.31.1.1.1" # # if empty get all instances # mapping_table = ".1.3.6.1.2.1.31.1.1.1.1" # # if empty get all subtables # # sub_tables could be not "real subtables" # sub_tables=[".1.3.6.1.2.1.2.2.1.13", "bytes_recv", "bytes_send"] # # Read stats from one or more Solr servers or cores # [[inputs.solr]] # ## specify a list of one or more Solr servers # servers = ["http://localhost:8983"] # # ## specify a list of one or more Solr cores (default - all) # # cores = ["main"] # # ## Optional HTTP Basic Auth Credentials # # username = "username" # # password = "pa$$word" # # Read metrics from Microsoft SQL Server # [[inputs.sqlserver]] # ## Specify instances to monitor with a list of connection strings. # ## All connection parameters are optional. # ## By default, the host is localhost, listening on default port, TCP 1433. # ## for Windows, the user is the currently running AD user (SSO). # ## See https://github.com/denisenkom/go-mssqldb for detailed connection # ## parameters, in particular, tls connections can be created like so: # ## "encrypt=true;certificate=<cert>;hostNameInCertificate=<SqlServer host fqdn>" # # servers = [ # # "Server=192.168.1.10;Port=1433;User Id=<user>;Password=<pw>;app name=telegraf;log=1;", # # ] # # ## Optional parameter, setting this to 2 will use a new version # ## of the collection queries that break compatibility with the original # ## dashboards. # query_version = 2 # # ## If you are using AzureDB, setting this to true will gather resource utilization metrics # # azuredb = false # # ## If you would like to exclude some of the metrics queries, list them here # ## Possible choices: # ## - PerformanceCounters # ## - WaitStatsCategorized # ## - DatabaseIO # ## - DatabaseProperties # ## - CPUHistory # ## - DatabaseSize # ## - DatabaseStats # ## - MemoryClerk # ## - VolumeSpace # ## - PerformanceMetrics # ## - Schedulers # ## - AzureDBResourceStats # ## - AzureDBResourceGovernance # ## - SqlRequests # ## - ServerProperties # exclude_query = [ 'Schedulers' ] # # Gather timeseries from Google Cloud Platform v3 monitoring API # [[inputs.stackdriver]] # ## GCP Project # project = "erudite-bloom-151019" # # ## Include timeseries that start with the given metric type. # metric_type_prefix_include = [ # "compute.googleapis.com/", # ] # # ## Exclude timeseries that start with the given metric type. # # metric_type_prefix_exclude = [] # # ## Many metrics are updated once per minute; it is recommended to override # ## the agent level interval with a value of 1m or greater. # interval = "1m" # # ## Maximum number of API calls to make per second. The quota for accounts # ## varies, it can be viewed on the API dashboard: # ## https://cloud.google.com/monitoring/quotas#quotas_and_limits # # rate_limit = 14 # # ## The delay and window options control the number of points selected on # ## each gather. When set, metrics are gathered between: # ## start: now() - delay - window # ## end: now() - delay # # # ## Collection delay; if set too low metrics may not yet be available. # # delay = "5m" # # # ## If unset, the window will start at 1m and be updated dynamically to span # ## the time between calls (approximately the length of the plugin interval). # # window = "1m" # # ## TTL for cached list of metric types. This is the maximum amount of time # ## it may take to discover new metrics. # # cache_ttl = "1h" # # ## If true, raw bucket counts are collected for distribution value types. # ## For a more lightweight collection, you may wish to disable and use # ## distribution_aggregation_aligners instead. # # gather_raw_distribution_buckets = true # # ## Aggregate functions to be used for metrics whose value type is # ## distribution. These aggregate values are recorded in in addition to raw # ## bucket counts; if they are enabled. # ## # ## For a list of aligner strings see: # ## https://cloud.google.com/monitoring/api/ref_v3/rpc/google.monitoring.v3#aligner # # distribution_aggregation_aligners = [ # # "ALIGN_PERCENTILE_99", # # "ALIGN_PERCENTILE_95", # # "ALIGN_PERCENTILE_50", # # ] # # ## Filters can be added to reduce the number of time series matched. All # ## functions are supported: starts_with, ends_with, has_substring, and # ## one_of. Only the '=' operator is supported. # ## # ## The logical operators when combining filters are defined statically using # ## the following values: # ## filter ::= <resource_labels> {AND <metric_labels>} # ## resource_labels ::= <resource_labels> {OR <resource_label>} # ## metric_labels ::= <metric_labels> {OR <metric_label>} # ## # ## For more details, see https://cloud.google.com/monitoring/api/v3/filters # # # ## Resource labels refine the time series selection with the following expression: # ## resource.labels.<key> = <value> # # [[inputs.stackdriver.filter.resource_labels]] # # key = "instance_name" # # value = 'starts_with("localhost")' # # # ## Metric labels refine the time series selection with the following expression: # ## metric.labels.<key> = <value> # # [[inputs.stackdriver.filter.metric_labels]] # # key = "device_name" # # value = 'one_of("sda", "sdb")' # # Get synproxy counter statistics from procfs # [[inputs.synproxy]] # # no configuration # # 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" # # Reads metrics from a Teamspeak 3 Server via ServerQuery # [[inputs.teamspeak]] # ## Server address for Teamspeak 3 ServerQuery # # server = "127.0.0.1:10011" # ## Username for ServerQuery # username = "serverqueryuser" # ## Password for ServerQuery # password = "secret" # ## Array of virtual servers # # virtual_servers = [1] # # Read metrics about temperature # [[inputs.temp]] # # no configuration # # Read Tengine's basic status information (ngx_http_reqstat_module) # [[inputs.tengine]] # # An array of Tengine reqstat module URI to gather stats. # urls = ["http://127.0.0.1/us"] # # # HTTP response timeout (default: 5s) # # response_timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.cer" # # tls_key = "/etc/telegraf/key.key" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Gather metrics from the Tomcat server status page. # [[inputs.tomcat]] # ## URL of the Tomcat server status # # url = "http://127.0.0.1:8080/manager/status/all?XML=true" # # ## HTTP Basic Auth Credentials # # username = "tomcat" # # password = "s3cret" # # ## Request timeout # # timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # Inserts sine and cosine waves for demonstration purposes # [[inputs.trig]] # ## Set the amplitude # amplitude = 10.0 # # Read Twemproxy stats data # [[inputs.twemproxy]] # ## Twemproxy stats address and port (no scheme) # addr = "localhost:22222" # ## Monitor pool name # pools = ["redis_pool", "mc_pool"] # # A plugin to collect stats from the Unbound DNS resolver # [[inputs.unbound]] # ## Address of server to connect to, read from unbound conf default, optionally ':port' # ## Will lookup IP if given a hostname # server = "127.0.0.1:8953" # # ## If running as a restricted user you can prepend sudo for additional access: # # use_sudo = false # # ## The default location of the unbound-control binary can be overridden with: # # binary = "/usr/sbin/unbound-control" # # ## The default timeout of 1s can be overriden with: # # timeout = "1s" # # ## When set to true, thread metrics are tagged with the thread id. # ## # ## The default is false for backwards compatibility, and will be 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 timout # # 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" # # ## By default, telegraf gather stats for 3 metric points. # ## Setting stats will override the defaults shown below. # ## Glob matching can be used, ie, stats = ["MAIN.*"] # ## stats may also be set to ["*"], which will collect all stats # stats = ["MAIN.cache_hit", "MAIN.cache_miss", "MAIN.uptime"] # # ## Optional name for the varnish instance (or working directory) to query # ## Usually appened after -n in varnish cli # # instance_name = instanceName # # ## Timeout for varnishstat command # # timeout = "1s" # # 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 # sources = ["/etc/ssl/certs/ssl-cert-snakeoil.pem", "tcp://example.org:443"] # # ## Timeout for SSL connection # # timeout = "5s" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # # Read metrics of ZFS from arcstats, zfetchstats, vdev_cache_stats, and pools # [[inputs.zfs]] # ## ZFS kstat path. Ignored on FreeBSD # ## If not specified, then default is: # # kstatPath = "/proc/spl/kstat/zfs" # # ## By default, telegraf gather all zfs stats # ## If not specified, then default is: # # kstatMetrics = ["arcstats", "zfetchstats", "vdev_cache_stats"] # ## For Linux, the default is: # # kstatMetrics = ["abdstats", "arcstats", "dnodestats", "dbufcachestats", # # "dmu_tx", "fm", "vdev_mirror_stats", "zfetchstats", "zil"] # ## By default, don't gather zpool stats # # poolMetrics = false # # Reads 'mntr' stats from one or many zookeeper servers # [[inputs.zookeeper]] # ## An array of address to gather stats about. Specify an ip or hostname # ## with port. ie localhost:2181, 10.0.0.1:2181, etc. # # ## If no servers are specified, then localhost is used as the host. # ## If no port is specified, 2181 is used # servers = [":2181"] # # ## Timeout for metric collections from all servers. Minimum timeout is "1s". # # timeout = "5s" # # ## Optional TLS Config # # enable_tls = true # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## If false, skip chain & host verification # # insecure_skip_verify = true ############################################################################### # SERVICE INPUT PLUGINS # ############################################################################### # # AMQP consumer plugin # [[inputs.amqp_consumer]] # ## Broker to consume from. # ## deprecated in 1.7; use the brokers option # # url = "amqp://localhost:5672/influxdb" # # ## Brokers to consume from. If multiple brokers are specified a random broker # ## will be selected anytime a connection is established. This can be # ## helpful for load balancing when not using a dedicated load balancer. # brokers = ["amqp://localhost:5672/influxdb"] # # ## Authentication credentials for the PLAIN auth_method. # # username = "" # # password = "" # # ## 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_propery" = "timestamp"} # # ## AMQP queue name. # queue = "telegraf" # # ## AMQP queue durability can be "transient" or "durable". # queue_durability = "durable" # # ## If true, queue will be passively declared. # # queue_passive = false # # ## A binding between the exchange and queue using this binding key is # ## created. If unset, no binding is created. # binding_key = "#" # # ## Maximum number of messages server should give to the worker. # # prefetch_count = 50 # # ## Maximum messages to read from the broker that have not been written by an # ## output. For best throughput set based on the number of metrics within # ## each message and the size of the output's metric_batch_size. # ## # ## For example, if each message from the queue contains 10 metrics and the # ## output metric_batch_size is 1000, setting this to 100 will ensure that a # ## full batch is collected and the write is triggered immediately without # ## waiting until the next flush_interval. # # max_undelivered_messages = 1000 # # ## Auth method. PLAIN and EXTERNAL are supported # ## Using EXTERNAL requires enabling the rabbitmq_auth_mechanism_ssl plugin as # ## described here: https://www.rabbitmq.com/plugins.html # # auth_method = "PLAIN" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Content encoding for message payloads, can be set to "gzip" to or # ## "identity" to apply no encoding. # # content_encoding = "identity" # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # Read Cassandra metrics through Jolokia # [[inputs.cassandra]] # ## DEPRECATED: The cassandra plugin has been deprecated. Please use the # ## jolokia2 plugin instead. # ## # ## see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/jolokia2 # # context = "/jolokia/read" # ## List of cassandra servers exposing jolokia read service # servers = ["myuser:mypassword@10.10.10.1:8778","10.10.10.2:8778",":8778"] # ## List of metrics collected on above servers # ## Each metric consists of a jmx path. # ## This will collect all heap memory usage metrics from the jvm and # ## ReadLatency metrics for all keyspaces and tables. # ## "type=Table" in the query works with Cassandra3.0. Older versions might # ## need to use "type=ColumnFamily" # metrics = [ # "/java.lang:type=Memory/HeapMemoryUsage", # "/org.apache.cassandra.metrics:type=Table,keyspace=*,scope=*,name=ReadLatency" # ] # # Cisco GNMI telemetry input plugin based on GNMI telemetry data produced in IOS XR # [[inputs.cisco_telemetry_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") # # 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.cisco_telemetry_gnmi.aliases] # # ifcounters = "openconfig:/interfaces/interface/state/counters" # # [[inputs.cisco_telemetry_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 substructe 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" # # 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" # # 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" # # 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 # # Influx HTTP write listener # [[inputs.http_listener]] # ## Address and port to host HTTP listener on # service_address = ":8186" # # ## maximum duration before timing out read of the request # read_timeout = "10s" # ## maximum duration before timing out write of the response # write_timeout = "10s" # # ## Maximum allowed http request body size in bytes. # ## 0 means to use the default of 524,288,000 bytes (500 mebibytes) # max_body_size = "500MiB" # # ## Maximum line size allowed to be sent in bytes. # ## 0 means to use the default of 65536 bytes (64 kibibytes) # max_line_size = "64KiB" # # # ## 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 = "" # # ## Set one or more allowed client CA certificate file names to # ## enable mutually authenticated TLS connections # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"] # # ## Add service certificate and key # tls_cert = "/etc/telegraf/cert.pem" # tls_key = "/etc/telegraf/key.pem" # # ## Optional username and password to accept for HTTP basic authentication. # ## You probably want to make sure you have TLS configured above for this. # # basic_username = "foobar" # # basic_password = "barfoo" # # Generic HTTP write listener # [[inputs.http_listener_v2]] # ## Address and port to host HTTP listener on # service_address = ":8080" # # ## Path to listen to. # # path = "/telegraf" # # ## 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 524,288,00 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" # # ## 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" # # Influx HTTP write listener # [[inputs.influxdb_listener]] # ## Address and port to host HTTP listener on # service_address = ":8186" # # ## maximum duration before timing out read of the request # read_timeout = "10s" # ## maximum duration before timing out write of the response # write_timeout = "10s" # # ## Maximum allowed http request body size in bytes. # ## 0 means to use the default of 524,288,000 bytes (500 mebibytes) # max_body_size = "500MiB" # # ## Maximum line size allowed to be sent in bytes. # ## 0 means to use the default of 65536 bytes (64 kibibytes) # max_line_size = "64KiB" # # # ## 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 = "" # # ## Set one or more allowed client CA certificate file names to # ## enable mutually authenticated TLS connections # tls_allowed_cacerts = ["/etc/telegraf/clientca.pem"] # # ## Add service certificate and key # tls_cert = "/etc/telegraf/cert.pem" # tls_key = "/etc/telegraf/key.pem" # # ## Optional username and password to accept for HTTP basic authentication. # ## You probably want to make sure you have TLS configured above for this. # # basic_username = "foobar" # # basic_password = "barfoo" # # Read JTI OpenConfig Telemetry from listed sensors # [[inputs.jti_openconfig_telemetry]] # ## List of device addresses to collect telemetry from # servers = ["localhost:1883"] # # ## Authentication details. Username and password are must if device expects # ## authentication. Client ID must be unique when connecting from multiple instances # ## of telegraf to the same device # username = "user" # password = "pass" # client_id = "telegraf" # # ## Frequency to get data # sample_frequency = "1000ms" # # ## Sensors to subscribe for # ## A identifier for each sensor can be provided in path by separating with space # ## Else sensor path will be used as identifier # ## When identifier is used, we can provide a list of space separated sensors. # ## A single subscription will be created with all these sensors and data will # ## be saved to measurement with this identifier name # sensors = [ # "/interfaces/", # "collection /components/ /lldp", # ] # # ## We allow specifying sensor group level reporting rate. To do this, specify the # ## reporting rate in Duration at the beginning of sensor paths / collection # ## name. For entries without reporting rate, we use configured sample frequency # sensors = [ # "1000ms customReporting /interfaces /lldp", # "2000ms collection /components", # "/interfaces", # ] # # ## 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 # # ## Optional SASL Config # # sasl_username = "kafka" # # sasl_password = "secret" # # ## Name of the consumer group. # # consumer_group = "telegraf_metrics_consumers" # # ## 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 # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # Read metrics from Kafka topic(s) # [[inputs.kafka_consumer_legacy]] # ## topic(s) to consume # topics = ["telegraf"] # # ## an array of Zookeeper connection strings # zookeeper_peers = ["localhost:2181"] # # ## Zookeeper Chroot # zookeeper_chroot = "" # # ## the name of the consumer group # consumer_group = "telegraf_metrics_consumers" # # ## Offset (must be either "oldest" or "newest") # offset = "oldest" # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # ## Maximum length of a message to consume, in bytes (default 0/unlimited); # ## larger messages are dropped # max_message_len = 65536 # # Configuration for the AWS Kinesis input. # [[inputs.kinesis_consumer]] # ## Amazon REGION of kinesis endpoint. # region = "ap-southeast-2" # # ## Amazon Credentials # ## Credentials are loaded in the following order # ## 1) Assumed credentials via STS if role_arn is specified # ## 2) explicit credentials from 'access_key' and 'secret_key' # ## 3) shared profile from 'profile' # ## 4) environment variables # ## 5) shared credentials file # ## 6) EC2 Instance Profile # # access_key = "" # # secret_key = "" # # token = "" # # role_arn = "" # # profile = "" # # shared_credential_file = "" # # ## Endpoint to make request against, the correct endpoint is automatically # ## determined and this option should only be set if you wish to override the # ## default. # ## ex: endpoint_url = "http://localhost:8000" # # endpoint_url = "" # # ## Kinesis StreamName must exist prior to starting telegraf. # streamname = "StreamName" # # ## 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" # # ## Optional # ## Configuration for a dynamodb checkpoint # [inputs.kinesis_consumer.checkpoint_dynamodb] # ## unique name for this consumer # app_name = "default" # table_name = "default" # # Stream and parse log file(s). # [[inputs.logparser]] # ## Log files to parse. # ## These accept standard unix glob matching rules, but with the addition of # ## ** as a "super asterisk". ie: # ## /var/log/**.log -> recursively find all .log files in /var/log # ## /var/log/*/*.log -> find all .log files with a parent dir in /var/log # ## /var/log/apache.log -> only tail the apache log file # files = ["/var/log/apache/access.log"] # # ## Read files that currently exist from the beginning. Files that are created # ## while telegraf is running (and that match the "files" globs) will always # ## be read from the beginning. # from_beginning = false # # ## Method used to watch for file updates. Can be either "inotify" or "poll". # # watch_method = "inotify" # # ## Parse logstash-style "grok" patterns: # [inputs.logparser.grok] # ## This is a list of patterns to check the given log file(s) for. # ## Note that adding patterns here increases processing time. The most # ## efficient configuration is to have one pattern per logparser. # ## Other common built-in patterns are: # ## %{COMMON_LOG_FORMAT} (plain apache & nginx access logs) # ## %{COMBINED_LOG_FORMAT} (access logs + referrer & agent) # patterns = ["%{COMBINED_LOG_FORMAT}"] # # ## Name of the outputted measurement name. # measurement = "apache_access_log" # # ## Full path(s) to custom pattern files. # custom_pattern_files = [] # # ## Custom patterns can also be defined here. Put one pattern per line. # custom_patterns = ''' # ''' # # ## Timezone allows you to provide an override for timestamps that # ## don't already include an offset # ## e.g. 04/06/2016 12:41:45 data one two 5.43µs # ## # ## Default: "" which renders UTC # ## Options are as follows: # ## 1. Local -- interpret based on machine localtime # ## 2. "Canada/Eastern" -- Unix TZ values like those found in https://en.wikipedia.org/wiki/List_of_tz_database_time_zones # ## 3. UTC -- or blank/unspecified, will return timestamp in UTC # # timezone = "Canada/Eastern" # # ## When set to "disable", timestamp will not incremented if there is a # ## duplicate. # # unique_timestamp = "auto" [[inputs.mqtt_consumer]] #servers = ["tcp://127.0.0.1:1883"] servers = ["tcp://127.0.0.1:8883"] connection_timeout = "30s" qos = 0 data_format = "value" data_type = "float" topics = [ "sensor/temperatura", "sensor/presion", "fmo-agro-f001-0d-ptvjo-1/temperatura", "fmo-agro-f001-0d-ptvjo-1/humedad", "fmo-agro-f001-0d-ptvjo-1/presion", "fmo-agro-f001-0d-ptvjo-1/luminosidad", # "fmo-agro-f001-0d-ptvjo-1/altura", "fmo-agro-f001-0d-ptvjo-1/proximidad", ] #client_id = "telegraf" #data_format = "influx" username = "sensores" password = "S3ns0r3s.2020!" # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # # Read metrics from MQTT topic(s) # [[inputs.mqtt_consumer]] # ## MQTT broker URLs to be used. The format should be scheme://host:port, # ## schema can be tcp, ssl, or ws. # servers = ["tcp://127.0.0.1:1883"] # # ## Topics that will be subscribed to. # topics = [ # "telegraf/host01/cpu", # "telegraf/+/mem", # "sensors/#", # ] # # ## 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" # # 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 = "" # # ## Use Transport Layer Security # # secure = false # # ## Optional TLS Config # # tls_ca = "/etc/telegraf/ca.pem" # # tls_cert = "/etc/telegraf/cert.pem" # # tls_key = "/etc/telegraf/key.pem" # ## Use TLS but skip chain & host verification # # insecure_skip_verify = false # # ## Sets the limits for pending msgs and bytes for each subscription # ## These shouldn't need to be adjusted except in very high throughput scenarios # # pending_message_limit = 65536 # # pending_bytes_limit = 67108864 # # ## Maximum messages to read from the broker that have not been written by an # ## output. For best throughput set based on the number of metrics within # ## each message and the size of the output's metric_batch_size. # ## # ## For example, if each message from the queue contains 10 metrics and the # ## output metric_batch_size is 1000, setting this to 100 will ensure that a # ## full batch is collected and the write is triggered immediately without # ## waiting until the next flush_interval. # # max_undelivered_messages = 1000 # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # Read NSQ topic for metrics. # [[inputs.nsq_consumer]] # ## Server option still works but is deprecated, we just prepend it to the nsqd array. # # server = "localhost:4150" # # ## An array representing the NSQD TCP HTTP Endpoints # nsqd = ["localhost:4150"] # # ## An array representing the NSQLookupd HTTP Endpoints # nsqlookupd = ["localhost:4161"] # topic = "telegraf" # channel = "consumer" # max_in_flight = 100 # # ## Maximum messages to read from the broker that have not been written by an # ## output. For best throughput set based on the number of metrics within # ## each message and the size of the output's metric_batch_size. # ## # ## For example, if each message from the queue contains 10 metrics and the # ## output metric_batch_size is 1000, setting this to 100 will ensure that a # ## full batch is collected and the write is triggered immediately without # ## waiting until the next flush_interval. # # max_undelivered_messages = 1000 # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # Read metrics from one or many pgbouncer servers # [[inputs.pgbouncer]] # ## specify address via a url matching: # ## postgres://[pqgotest[:password]]@localhost[/dbname]\ # ## ?sslmode=[disable|verify-ca|verify-full] # ## or a simple string: # ## host=localhost user=pqotest password=... sslmode=... dbname=app_production # ## # ## All connection parameters are optional. # ## # address = "host=localhost user=pgbouncer sslmode=disable" # # Read metrics from one or many postgresql servers # [[inputs.postgresql]] # ## specify address via a url matching: # ## postgres://[pqgotest[:password]]@localhost[/dbname]\ # ## ?sslmode=[disable|verify-ca|verify-full] # ## or a simple string: # ## host=localhost user=pqotest password=... sslmode=... dbname=app_production # ## # ## All connection parameters are optional. # ## # ## Without the dbname parameter, the driver will default to a database # ## with the same name as the user. This dbname is just for instantiating a # ## connection with the server and doesn't restrict the databases we are trying # ## to grab metrics for. # ## # address = "host=localhost user=postgres sslmode=disable" # ## A custom name for the database that will be used as the "server" tag in the # ## measurement output. If not specified, a default one generated from # ## the connection address is used. # # outputaddress = "db01" # # ## connection configuration. # ## maxlifetime - specify the maximum lifetime of a connection. # ## default is forever (0s) # max_lifetime = "0s" # # ## A list of databases to explicitly ignore. If not specified, metrics for all # ## databases are gathered. Do NOT use with the 'databases' option. # # ignored_databases = ["postgres", "template0", "template1"] # # ## A list of databases to pull metrics about. If not specified, metrics for all # ## databases are gathered. Do NOT use with the 'ignored_databases' option. # # databases = ["app_production", "testing"] # # Read metrics from one or many postgresql servers # [[inputs.postgresql_extensible]] # ## specify address via a url matching: # ## postgres://[pqgotest[:password]]@localhost[/dbname]\ # ## ?sslmode=[disable|verify-ca|verify-full] # ## or a simple string: # ## host=localhost user=pqotest password=... sslmode=... dbname=app_production # # # ## All connection parameters are optional. # # ## Without the dbname parameter, the driver will default to a database # ## with the same name as the user. This dbname is just for instantiating a # ## connection with the server and doesn't restrict the databases we are trying # ## to grab metrics for. # # # address = "host=localhost user=postgres sslmode=disable" # # ## connection configuration. # ## maxlifetime - specify the maximum lifetime of a connection. # ## default is forever (0s) # max_lifetime = "0s" # # ## A list of databases to pull metrics about. If not specified, metrics for all # ## databases are gathered. # ## databases = ["app_production", "testing"] # # # ## A custom name for the database that will be used as the "server" tag in the # ## measurement output. If not specified, a default one generated from # ## the connection address is used. # # outputaddress = "db01" # # # ## Define the toml config where the sql queries are stored # ## New queries can be added, if the withdbname is set to true and there is no # ## databases defined in the 'databases field', the sql query is ended by a # ## 'is not null' in order to make the query succeed. # ## Example : # ## The sqlquery : "SELECT * FROM pg_stat_database where datname" become # ## "SELECT * FROM pg_stat_database where datname IN ('postgres', 'pgbench')" # ## because the databases variable was set to ['postgres', 'pgbench' ] and the # ## withdbname was true. Be careful that if the withdbname is set to false you # ## don't have to define the where clause (aka with the dbname) the tagvalue # ## field is used to define custom tags (separated by commas) # ## The optional "measurement" value can be used to override the default # ## output measurement name ("postgresql"). # ## # ## 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 # ## # ## Structure : # ## [[inputs.postgresql_extensible.query]] # ## sqlquery string # ## version string # ## withdbname boolean # ## tagvalue string (comma separated) # ## measurement string # [[inputs.postgresql_extensible.query]] # sqlquery="SELECT * FROM pg_stat_database" # version=901 # withdbname=false # tagvalue="" # measurement="" # [[inputs.postgresql_extensible.query]] # sqlquery="SELECT * FROM pg_stat_bgwriter" # version=901 # withdbname=false # tagvalue="postgresql.stats" # # 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; deprecated in 1.13 # ## metric_version = 2; recommended version # # metric_version = 1 # # ## Url tag name (tag containing scrapped url. optional, default is "url") # # url_tag = "scrapeUrl" # # ## 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 # ## Restricts Kubernetes monitoring to a single namespace # ## ex: monitor_kubernetes_pods_namespace = "default" # # monitor_kubernetes_pods_namespace = "" # # ## 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 # # 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" # ## Timeout running snmptranslate command # # timeout = "5s" # # 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" # # 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 # # ## 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 # # Suricata stats plugin # [[inputs.suricata]] # ## Data sink for Suricata stats log # # 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 = "_" # # 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-trasparent 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 # # ## Character to prepend to SD-PARAMs (default = "_"). # ## A syslog message can contain multiple parameters and multiple identifiers within structured data section. # ## Eg., [id1 name1="val1" name2="val2"][id2 name1="val1" nameA="valA"] # ## For each combination a field is created. # ## Its name is created concatenating identifier, sdparam_separator, and parameter name. # # sdparam_separator = "_" # # Stream a log file, like the tail -f command # [[inputs.tail]] # ## files to tail. # ## These accept standard unix glob matching rules, but with the addition of # ## ** as a "super asterisk". ie: # ## "/var/log/**.log" -> recursively find all .log files in /var/log # ## "/var/log/*/*.log" -> find all .log files with a parent dir in /var/log # ## "/var/log/apache.log" -> just tail the apache log file # ## # ## See https://github.com/gobwas/glob for more examples # ## # files = ["/var/mymetrics.out"] # ## Read file from beginning. # from_beginning = false # ## Whether file is a named pipe # pipe = false # # ## Method used to watch for file updates. Can be either "inotify" or "poll". # # watch_method = "inotify" # # ## Data format to consume. # ## Each data format has its own unique set of configuration options, read # ## more about them here: # ## https://github.com/influxdata/telegraf/blob/master/docs/DATA_FORMATS_INPUT.md # data_format = "influx" # # Generic TCP listener # [[inputs.tcp_listener]] # # DEPRECATED: the TCP listener plugin has been deprecated in favor of the # # socket_listener plugin # # see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/socket_listener # # Generic UDP listener # [[inputs.udp_listener]] # # DEPRECATED: the TCP listener plugin has been deprecated in favor of the # # socket_listener plugin # # see https://github.com/influxdata/telegraf/tree/master/plugins/inputs/socket_listener # # Read metrics from VMware vCenter # [[inputs.vsphere]] # ## List of vCenter URLs to be monitored. These three lines must be uncommented # ## and edited for the plugin to work. # vcenters = [ "https://vcenter.local/sdk" ] # username = "user@corp.local" # password = "secret" # # ## VMs # ## Typical VM metrics (if omitted or empty, all metrics are collected) # vm_metric_include = [ # "cpu.demand.average", # "cpu.idle.summation", # "cpu.latency.average", # "cpu.readiness.average", # "cpu.ready.summation", # "cpu.run.summation", # "cpu.usagemhz.average", # "cpu.used.summation", # "cpu.wait.summation", # "mem.active.average", # "mem.granted.average", # "mem.latency.average", # "mem.swapin.average", # "mem.swapinRate.average", # "mem.swapout.average", # "mem.swapoutRate.average", # "mem.usage.average", # "mem.vmmemctl.average", # "net.bytesRx.average", # "net.bytesTx.average", # "net.droppedRx.summation", # "net.droppedTx.summation", # "net.usage.average", # "power.power.average", # "virtualDisk.numberReadAveraged.average", # "virtualDisk.numberWriteAveraged.average", # "virtualDisk.read.average", # "virtualDisk.readOIO.latest", # "virtualDisk.throughput.usage.average", # "virtualDisk.totalReadLatency.average", # "virtualDisk.totalWriteLatency.average", # "virtualDisk.write.average", # "virtualDisk.writeOIO.latest", # "sys.uptime.latest", # ] # # vm_metric_exclude = [] ## Nothing is excluded by default # # vm_instances = true ## true by default # # ## Hosts # ## Typical host metrics (if omitted or empty, all metrics are collected) # host_metric_include = [ # "cpu.coreUtilization.average", # "cpu.costop.summation", # "cpu.demand.average", # "cpu.idle.summation", # "cpu.latency.average", # "cpu.readiness.average", # "cpu.ready.summation", # "cpu.swapwait.summation", # "cpu.usage.average", # "cpu.usagemhz.average", # "cpu.used.summation", # "cpu.utilization.average", # "cpu.wait.summation", # "disk.deviceReadLatency.average", # "disk.deviceWriteLatency.average", # "disk.kernelReadLatency.average", # "disk.kernelWriteLatency.average", # "disk.numberReadAveraged.average", # "disk.numberWriteAveraged.average", # "disk.read.average", # "disk.totalReadLatency.average", # "disk.totalWriteLatency.average", # "disk.write.average", # "mem.active.average", # "mem.latency.average", # "mem.state.latest", # "mem.swapin.average", # "mem.swapinRate.average", # "mem.swapout.average", # "mem.swapoutRate.average", # "mem.totalCapacity.average", # "mem.usage.average", # "mem.vmmemctl.average", # "net.bytesRx.average", # "net.bytesTx.average", # "net.droppedRx.summation", # "net.droppedTx.summation", # "net.errorsRx.summation", # "net.errorsTx.summation", # "net.usage.average", # "power.power.average", # "storageAdapter.numberReadAveraged.average", # "storageAdapter.numberWriteAveraged.average", # "storageAdapter.read.average", # "storageAdapter.write.average", # "sys.uptime.latest", # ] # ## 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_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_metric_include = [] ## if omitted or empty, all metrics are collected # # datastore_metric_exclude = [] ## Nothing excluded by default # # datastore_instances = false ## false by default for Datastores only # # ## Datacenters # datacenter_metric_include = [] ## if omitted or empty, all metrics are collected # datacenter_metric_exclude = [ "*" ] ## Datacenters are not collected by default. # # datacenter_instances = false ## false by default for Datastores only # # ## Plugin Settings # ## separator character to use for measurement and field names (default: "_") # # separator = "_" # # ## number of objects to retreive per query for realtime resources (vms and hosts) # ## set to 64 for vCenter 5.5 and 6.0 (default: 256) # # max_query_objects = 256 # # ## number of metrics to retreive per query for non-realtime resources (clusters and datastores) # ## set to 64 for vCenter 5.5 and 6.0 (default: 256) # # max_query_metrics = 256 # # ## number of go routines to use for collection and discovery of objects and metrics # # collect_concurrency = 1 # # discover_concurrency = 1 # # ## whether or not to force discovery of new objects on initial gather call before collecting metrics # ## when true for large environments this may cause errors for time elapsed while collecting metrics # ## when false (default) the first collection cycle may result in no or limited metrics while objects are discovered # # force_discover_on_init = false # # ## the interval before (re)discovering objects subject to metrics collection (default: 300s) # # object_discovery_interval = "300s" # # ## timeout applies to any of the api request made to vcenter # # timeout = "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_exlude to [] (empty set) and use custom_attribute_include # ## to select the attributes you want to include. # # custom_attribute_include = [] # # custom_attribute_exclude = ["*"] # # ## Optional SSL Config # # ssl_ca = "/path/to/cafile" # # ssl_cert = "/path/to/certfile" # # ssl_key = "/path/to/keyfile" # ## Use SSL but skip chain & host verification # # insecure_skip_verify = false # # A Webhooks Event collector # [[inputs.webhooks]] # ## Address and port to host Webhook listener on # service_address = ":1619" # # [inputs.webhooks.filestack] # path = "/filestack" # # [inputs.webhooks.github] # path = "/github" # # secret = "" # # [inputs.webhooks.mandrill] # path = "/mandrill" # # [inputs.webhooks.rollbar] # path = "/rollbar" # # [inputs.webhooks.papertrail] # path = "/papertrail" # # [inputs.webhooks.particle] # path = "/particle" # # This plugin implements the Zipkin http server to gather trace and timing data needed to troubleshoot latency problems in microservice architectures. # [[inputs.zipkin]] # # path = "/api/v1/spans" # URL path for span data # # port = 9411 # Port on which Telegraf listens