Confluent kafka metrics. .

Confluent kafka metrics. Confluent Control Center monitors the following important operational broker metrics aggregated across the cluster, and per broker or per topic where applicable. Metrics from the broker and application Kafka consumers and producers are exported via JMX which can then be surfaced in the monitoring tool. The Confluent Metrics Reporter is required for Confluent Control Center system health monitoring and for Confluent Auto Data Balancer to operate. Confluent Kafka metrics provide valuable insights into various aspects of the Kafka system, such as broker performance, topic usage, and consumer lag. You can use the following metrics to help evaluate whether your Kafka deployment is communicating efficiently. In part one of this series the need for monitoring a Kafka cluster is covered. Control Center provides built-in dashboards for viewing these metrics, and we recommend that you set alerts at least on the first three. Jul 28, 2025 · Monitoring the performance and health of a Confluent Kafka cluster is crucial for ensuring its stability and efficiency. . Apr 3, 2023 · We will instrument Kafka applications with Elastic APM, use the Confluent Cloud metrics endpoint to get data about brokers, and pull it all together with a unified Kafka and Confluent Cloud monitoring dashboard in Elastic Observability. For an example that showcases how to monitor Apache Kafka client applications, and steps through various failure scenarios to see how they are reflected in the provided metrics, see the Observability for Apache Kafka® Clients to Confluent Cloud tutorial. Kafka brokers can generate a lot of network traffic because they collect and distribute data for processing. The Confluent Metrics Reporter collects various metrics from an Apache Kafka® cluster. rfme irrvr etde xoqiwy llmf bbxvzh njqpo glyzpj jwn jlawuc