Kafka and Sensu Integration

[[inputs.kafka_consumer]]
              ## Kafka brokers.
              brokers = ["localhost:9092"]

              ## Set the minimal supported Kafka version. Should be a string contains
              ## 4 digits in case if it is 0 version and 3 digits for versions starting
              ## from 1.0.0 separated by dot. This setting enables the use of new
              ## Kafka features and APIs.  Must be 0.10.2.0(used as default) or greater.
              ## Please, check the list of supported versions at
              ## https://pkg.go.dev/github.com/Shopify/sarama#SupportedVersions
              ##   ex: kafka_version = "2.6.0"
              ##   ex: kafka_version = "0.10.2.0"
              # kafka_version = "0.10.2.0"

              ## Topics to consume.
              topics = ["telegraf"]

              ## Topic regular expressions to consume.  Matches will be added to topics.
              ## Example: topic_regexps = [ "*test", "metric[0-9A-z]*" ]
              # topic_regexps = [ ]

              ## When set this tag will be added to all metrics with the topic as the value.
              # topic_tag = ""

              ## The list of Kafka message headers that should be pass as metric tags
              ## works only for Kafka version 0.11+, on lower versions the message headers
              ## are not available
              # msg_headers_as_tags = []

              ## The name of kafka message header which value should override the metric name.
              ## In case when the same header specified in current option and in msg_headers_as_tags
              ## option, it will be excluded from the msg_headers_as_tags list.
              # msg_header_as_metric_name = ""

              ## Set metric(s) timestamp using the given source.
              ## Available options are:
              ##   metric -- do not modify the metric timestamp
              ##   inner  -- use the inner message timestamp (Kafka v0.10+)
              ##   outer  -- use the outer (compressed) block timestamp (Kafka v0.10+)
              # timestamp_source = "metric"

              ## Optional Client id
              # client_id = "Telegraf"

              ## Optional TLS Config
              # enable_tls = false
              # 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.
              ## Defaults to the OS configuration if not specified or zero.
              # keep_alive_period = "15s"

              ## SASL authentication credentials.  These settings should typically be used
              ## with TLS encryption enabled
              # sasl_username = "kafka"
              # sasl_password = "secret"

              ## Optional SASL:
              ## one of: OAUTHBEARER, PLAIN, SCRAM-SHA-256, SCRAM-SHA-512, GSSAPI
              ## (defaults to PLAIN)
              # sasl_mechanism = ""

              ## used if sasl_mechanism is GSSAPI
              # sasl_gssapi_service_name = ""
              # ## One of: KRB5_USER_AUTH and KRB5_KEYTAB_AUTH
              # sasl_gssapi_auth_type = "KRB5_USER_AUTH"
              # sasl_gssapi_kerberos_config_path = "/"
              # sasl_gssapi_realm = "realm"
              # sasl_gssapi_key_tab_path = ""
              # sasl_gssapi_disable_pafxfast = false

              ## used if sasl_mechanism is OAUTHBEARER
              # sasl_access_token = ""

              ## SASL protocol version.  When connecting to Azure EventHub set to 0.
              # sasl_version = 1

              # Disable Kafka metadata full fetch
              # metadata_full = false

              ## Name of the consumer group.
              # consumer_group = "telegraf_metrics_consumers"

              ## Compression codec represents the various compression codecs recognized by
              ## Kafka in messages.
              ##  0 : None
              ##  1 : Gzip
              ##  2 : Snappy
              ##  3 : LZ4
              ##  4 : ZSTD
              # compression_codec = 0
              ## Initial offset position; one of "oldest" or "newest".
              # offset = "oldest"

              ## Consumer group partition assignment strategy; one of "range", "roundrobin" or "sticky".
              # balance_strategy = "range"

              ## Maximum number of retries for metadata operations including
              ## connecting. Sets Sarama library's Metadata.Retry.Max config value. If 0 or
              ## unset, use the Sarama default of 3,
              # metadata_retry_max = 0

              ## Type of retry backoff. Valid options: "constant", "exponential"
              # metadata_retry_type = "constant"

              ## Amount of time to wait before retrying. When metadata_retry_type is
              ## "constant", each retry is delayed this amount. When "exponential", the
              ## first retry is delayed this amount, and subsequent delays are doubled. If 0
              ## or unset, use the Sarama default of 250 ms
              # metadata_retry_backoff = 0

              ## Maximum amount of time to wait before retrying when metadata_retry_type is
              ## "exponential". Ignored for other retry types. If 0, there is no backoff
              ## limit.
              # metadata_retry_max_duration = 0

              ## When set to true, this turns each bootstrap broker address into a set of
              ## IPs, then does a reverse lookup on each one to get its canonical hostname.
              ## This list of hostnames then replaces the original address list.
              ## resolve_canonical_bootstrap_servers_only = false

              ## Strategy for making connection to kafka brokers. Valid options: "startup",
              ## "defer". If set to "defer" the plugin is allowed to start before making a
              ## connection. This is useful if the broker may be down when telegraf is
              ## started, but if there are any typos in the broker setting, they will cause
              ## connection failures without warning at startup
              # connection_strategy = "startup"

              ## Maximum length of a message to consume, in bytes (default 0/unlimited);
              ## larger messages are dropped
              max_message_len = 1000000

              ## Max undelivered messages
              ## This plugin uses tracking metrics, which ensure messages are read to
              ## outputs before acknowledging them to the original broker to ensure data
              ## is not lost. This option sets the maximum messages to read from the
              ## broker that have not been written by an output.
              ##
              ## This value needs to be picked with awareness of the agent's
              ## metric_batch_size value as well. Setting max undelivered messages too high
              ## can result in a constant stream of data batches to the output. While
              ## setting it too low may never flush the broker's messages.
              # max_undelivered_messages = 1000

              ## Maximum amount of time the consumer should take to process messages. If
              ## the debug log prints messages from sarama about 'abandoning subscription
              ## to [topic] because consuming was taking too long', increase this value to
              ## longer than the time taken by the output plugin(s).
              ##
              ## Note that the effective timeout could be between 'max_processing_time' and
              ## '2 * max_processing_time'.
              # max_processing_time = "100ms"

              ## The default number of message bytes to fetch from the broker in each
              ## request (default 1MB). This should be larger than the majority of
              ## your messages, or else the consumer will spend a lot of time
              ## negotiating sizes and not actually consuming. Similar to the JVM's
              ## `fetch.message.max.bytes`.
              # consumer_fetch_default = "1MB"

              ## 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"

[[outputs.sensu]]
  ## BACKEND API URL is the Sensu Backend API root URL to send metrics to
  ## (protocol, host, and port only). The output plugin will automatically
  ## append the corresponding backend API path
  ## /api/core/v2/namespaces/:entity_namespace/events/:entity_name/:check_name).
  ##
  ## Backend Events API reference:
  ## https://docs.sensu.io/sensu-go/latest/api/events/
  ##
  ## AGENT API URL is the Sensu Agent API root URL to send metrics to
  ## (protocol, host, and port only). The output plugin will automatically
  ## append the correspeonding agent API path (/events).
  ##
  ## Agent API Events API reference:
  ## https://docs.sensu.io/sensu-go/latest/api/events/
  ##
  ## NOTE: if backend_api_url and agent_api_url and api_key are set, the output
  ## plugin will use backend_api_url. If backend_api_url and agent_api_url are
  ## not provided, the output plugin will default to use an agent_api_url of
  ## http://127.0.0.1:3031
  ##
  # backend_api_url = "http://127.0.0.1:8080"
  # agent_api_url = "http://127.0.0.1:3031"

  ## API KEY is the Sensu Backend API token
  ## Generate a new API token via:
  ##
  ## $ sensuctl cluster-role create telegraf --verb create --resource events,entities
  ## $ sensuctl cluster-role-binding create telegraf --cluster-role telegraf --group telegraf
  ## $ sensuctl user create telegraf --group telegraf --password REDACTED
  ## $ sensuctl api-key grant telegraf
  ##
  ## For more information on Sensu RBAC profiles & API tokens, please visit:
  ## - https://docs.sensu.io/sensu-go/latest/reference/rbac/
  ## - https://docs.sensu.io/sensu-go/latest/reference/apikeys/
  ##
  # api_key = "${SENSU_API_KEY}"

  ## Optional TLS Config
  # tls_ca = "/etc/telegraf/ca.pem"
  # tls_cert = "/etc/telegraf/cert.pem"
  # tls_key = "/etc/telegraf/key.pem"
  ## Use TLS but skip chain & host verification
  # insecure_skip_verify = false

  ## Timeout for HTTP message
  # timeout = "5s"

  ## HTTP Content-Encoding for write request body, can be set to "gzip" to
  ## compress body or "identity" to apply no encoding.
  # content_encoding = "identity"

  ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
  ## plugin definition, otherwise additional config options are read as part of
  ## the table

  ## Sensu Event details
  ##
  ## Below are the event details to be sent to Sensu.  The main portions of the
  ## event are the check, entity, and metrics specifications. For more information
  ## on Sensu events and its components, please visit:
  ## - Events - https://docs.sensu.io/sensu-go/latest/reference/events
  ## - Checks -  https://docs.sensu.io/sensu-go/latest/reference/checks
  ## - Entities - https://docs.sensu.io/sensu-go/latest/reference/entities
  ## - Metrics - https://docs.sensu.io/sensu-go/latest/reference/events#metrics
  ##
  ## Check specification
  ## The check name is the name to give the Sensu check associated with the event
  ## created. This maps to check.metadata.name in the event.
  [outputs.sensu.check]
    name = "telegraf"

  ## Entity specification
  ## Configure the entity name and namespace, if necessary. This will be part of
  ## the entity.metadata in the event.
  ##
  ## NOTE: if the output plugin is configured to send events to a
  ## backend_api_url and entity_name is not set, the value returned by
  ## os.Hostname() will be used; if the output plugin is configured to send
  ## events to an agent_api_url, entity_name and entity_namespace are not used.
  # [outputs.sensu.entity]
  #   name = "server-01"
  #   namespace = "default"

  ## Metrics specification
  ## Configure the tags for the metrics that are sent as part of the Sensu event
  # [outputs.sensu.tags]
  #   source = "telegraf"

  ## Configure the handler(s) for processing the provided metrics
  # [outputs.sensu.metrics]
  #   handlers = ["influxdb","elasticsearch"]