Prometheus exporter for Confluent Cloud Metrics API

A simple prometheus exporter that can be used to extract metrics from Confluent Cloud Metric API. By default, the exporter will be exposing the metrics on port 2112 To use the exporter, the following environment variables need to be specified:

CCLOUD_USER: Your Confluent Cloud login, or the API Key created with ccloud api-key create --resource cloud
CCLOUD_PASSWORD: Your Confluent Cloud password, or the API Key Secret when created with ccloud api-key create --resource cloud

CCLOUD_USER and CCLOUD_PASSWORD environment variables will be used to invoke the https://api.telemetry.confluent.cloud endpoint.

Usage

./ccloudexporter -cluster <cluster_id>

Options

Usage of ./ccloudexporter:
  -cluster string
    	Cluster ID to fetch metric for. If not specified, the environment variable CCLOUD_CLUSTER will be used
  -config string
    	Path to configuration file used to override default behavior of ccloudexporter
  -delay int
    	Delay, in seconds, to fetch the metrics. By default set to 120, this, in order to avoid temporary data points. (default 120)
  -endpoint string
    	Base URL for the Metric API (default "https://api.telemetry.confluent.cloud/")
  -granularity string
    	Granularity for the metrics query, by default set to 1 minutes (default "PT1M")
  -listener string
    	Listener for the HTTP interface (default ":2112")
  -no-timestamp
    	Do not propagate the timestamp from the the metrics API to prometheus
  -timeout int
    	Timeout, in second, to use for all REST call with the Metric API (default 60)
  -version
    	Print the current version and exit

Examples

Building and executing

go get github.com/Dabz/ccloudexporter/cmd/ccloudexporter
go install github.com/Dabz/ccloudexporter/cmd/ccloudexporter
export [email protected]
export CCLOUD_PASSWORD=totopassword
./ccloudexporter -cluster lkc-abc123

Using docker

docker run \
  -e CCLOUD_USER=$CCLOUD_USER \
  -e CCLOUD_PASSWORD=$CCLOUD_PASSWORD
  -e CCLOUD_CLUSTER=lkc-abc123
  -p 2112:2112
  dabz/ccloudexporter:latest

Using docker-compose

export [email protected]
export CCLOUD_PASSWORD=totopassword
export CCLOUD_CLUSTER=lkc-abc123
docker-compose up -d

Configuration file

For more advanced deployment, you could specify a YAML configuration file with the -config flag. If you do not provide a configuration file, the exporter creates one from the provided flags.

Configuration

Global configuration

Key	Description	Default value
config.http.baseurl	Base URL for the Metric API	https://api.telemetry.confluent.cloud/
config.http.timeout	Timeout, in second, to use for all REST call with the Metric API	60
config.listener	Listener for the HTTP interface	:2112
config.noTimestamp	Do not propagate the timestamp from the metrics API to prometheus	false
config.delay	Delay, in seconds, to fetch the metrics. By default set to 120, this, in order to avoid temporary data points	120
config.granularity	Granularity for the metrics query, by default set to 1 minute	PT1M
rules	List of rules that need to be executed to fetch metrics

Rule configuration

Key	Description
rules.clusters	List of clusters to fetch metrics from
rules.labels	Labels to exposed to Prometheus and group by in the query
rules.topics	Optional list of topics to filter the metrics
rules.metrics	List of metrics to gather

Examples of configuration files

A simple configuration to fetch metrics for a cluster: simple.yaml
A configuration to fetch metrics at the partition granularity for a few topics: partition.yaml

Default configuration

config:
  http:
    baseurl: https://api.telemetry.confluent.cloud/
    timeout: 60
  listener: 0.0.0.0:2112
  noTimestamp: false
  delay: 60
  granularity: PT1M
rules:
  - clusters:
      - $CCLOUD_CLUSTER
    metrics:
      - io.confluent.kafka.server/received_bytes
      - io.confluent.kafka.server/sent_bytes
      - io.confluent.kafka.server/received_records
      - io.confluent.kafka.server/sent_records
      - io.confluent.kafka.server/retained_bytes
      - io.confluent.kafka.server/active_connection_count
      - io.confluent.kafka.server/request_count
      - io.confluent.kafka.server/partition_count
    labels:
      - cluster_id
      - topic
      - type

Limits

In order to avoid reaching the limit of 1,000 points set by the Confluent Cloud Metrics API, the following soft limits has been established in the exporter:

In order to group by partition, you need to specify one or multiple topics
You cannot specify more than 100 topics in a single rule
clusters, labels and metrics are required in each rule

How to build

go get github.com/Dabz/ccloudexporter/cmd/ccloudexporter

Grafana

A Grafana dashboard is provided in ./grafana/ folder.

zohimi / ccloudexporter Goto Github PK

ccloudexporter's Introduction