Confluent Cloud
Collect metrics from your Confluent Cloud Kafka clusters and connectors
groundcover supports collecting metrics from Confluent Cloud, so you can visualize your Kafka clusters' and connectors' performance and set up monitors on them.
Prerequisites
You'll need a Confluent Cloud API key with access to the Metrics API, and the resource IDs of the Kafka clusters (and, optionally, connectors) you want metrics for.
The Metrics API requires an API key that is resource-scoped for resource management, with the MetricsViewer role assigned to it. A Kafka-cluster-scoped API key will not work and causes an authentication error.
Kafka cluster resource IDs start with
lkc-and are found on each cluster's Cluster settings page.Connector resource IDs start with
lcc-and are found on each connector's settings page.
Adding the Confluent Cloud Integration
Navigate to Data Sources and select Confluent Cloud.
Provide the following parameters:
Kafka cluster resource IDs — one or more
lkc-...IDs. At least one is required.Connector resource IDs (optional) — one or more
lcc-...IDs, if you also want connector metrics.Authentication — your Confluent Cloud API key and secret, sent as HTTP basic auth.
Scrape interval and timeout — control the cadence of scraping.
groundcover queries Confluent's Metrics API directly (api.telemetry.confluent.cloud) — there's no exporter or agent to run yourself.
For the full list of metrics Confluent Cloud exposes through the Metrics API, see Confluent's Metrics reference.
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