Monitoring Event Streams: Visualize Kafka Clients in Confluent Cloud

This post introduces the concept of monitoring Kafka client applications in Confluent Cloud, focusing on visualizing client metrics and identifying failure scenarios. It details the use of the kafka-lag-exporter for consumer lag and the ccloud-exporter for Confluent Metrics API data, both integrated with Prometheus and Grafana. The post also outlines common client failure scenarios like partition limits and request rate limits, explaining how these are reflected in monitoring dashboards and providing examples of metric thresholds and throttling times.