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Prometheus Grafana Integration with Confluent CCloud metrics (/export) endpoint

  • A Sample POC to showcase Prometheus & Grafana integration with CCloud Metrics endpoint
  • Grafana configured with Prometheus as a Datasource for Dashboard construction.
  • Prometheus Scrape config - scrapes metrics from CCloud Metrics endpoint.

NOTE

  • This demo depends on a Confluent Cloud instance available for you and you should be able to create an API Key and plugin that api key to the correct location (mentioned below). The utility could scrape the following:
    1. One or many Kafka cluster.
    2. One or many fully managed Connectors running on Confluent cloud.
    3. One or many fully managed ksqlDB cluster running on Confluent cloud.
    4. One or many Schema Registry.

Confluent Cloud Cost Exporter

This project integrates Confluent Cloud Cost information with Prometheus. It uses current month to query the cost information from Confluent Cloud and expose it as Prometheus metrics.

Confluent Costs API considerations:

  • Cost data can take up to 72 hours to become available
  • Start date can reach a maximum of one year into the past
  • One month is the maximum window between start and end dates.

More info

Confluent Cloud Costs Grafana Dashboard:

  • Filters by resource: Environment, Kafka Cluster, Connectors, ksqlDB and Flink Compute Pools.

  • Breakdown of costs by day

  • Breakdown of costs by product, line type and network access type.

  • Breakdown of costs by resource:

How to run

Step 1

git clone https://github.com/confluentinc/jmx-monitoring-stacks
cd jmx-monitoring-stacks/ccloud-prometheus-grafana

Step 2

You will need to find some details from your CCloud Environments and feed it in this step. Please keep the following handy:

  • API/Key Secret
  • Inventory Information from your CCloud instance:
    • Kafka Cluster (lkc) IDs
    • ksqlDB Cluster (lksqlc) IDs
    • Connect Cluster (lcc) IDs
    • Schema Registry (lsrc) IDs

Now edit the file ./ccloud-prometheus-grafana/utils/env_variables.env and add the above information in the respective columns:

  • Update CCloud CONFLUENT_CLOUD_API_KEY and CONFLUENT_CLOUD_API_SECRET ( Note: Resource type= cloud Api-Key)
  • Update CCLOUD_KAFKA_LKC_ID accepts single or multiple kafka clusters as comma-separated-string lkc-XXXX values
    • e.g "lkc-XXXX, lkc-yyyy" or for single cluster "lkc-xxxx"
  • Update CCLOUD_CONNECT_LCC_IDS accepts single or multiple connect clusters as comma-separated-string lcc-XXXX values
    • e.g "lcc-XXXX, lcc-yyyy" or for single cluster "lcc-xxxx"
  • Update CCLOUD_KSQL_LKSQLC_IDS accepts single or multiple ksqlDB clusters as comma-separated-string lksqlc-XXXX values
    • e.g "lksqlc-XXXX, lksqlc-yyyy" or for single cluster "lksqlc-xxxx"
  • Update CCLOUD_SR_LSRC_IDS accepts single or multiple Schema Registry instances as comma-separated-string lsrc-XXXX values
    • e.g "lsrc-XXXX, lsrc-yyyy" or for single instance "lsrc-xxxx"

Step 3

  • Start the CCloud export demo
./start.sh

Step 4 ( select dashboard )

  • Open Grafana_Endpoint
    • userid: admin
    • password: password
  • Select Option to Browse Dashboards
  • Open Confluent Cloud Dashboard or Confluent Cloud Cost dashboard.

Step 5

  • Stop the demo
./stop.sh

Additional Links