Organizations running Apache Kafka as their streaming platform need comprehensive monitoring to maintain reliable operations. Without proper visibility into broker health, resource utilization, and data flow metrics, teams risk service disruptions, data loss, and degraded performance that can impact critical business operations. Effective monitoring and alerting are essential to detect anomalies early, from high system load to connectivity issues, enabling teams to take preventive action before problems affect production workloads.
Amazon Managed Streaming for Apache Kafka (Amazon MSK) addresses these monitoring challenges by publishing detailed metrics to Amazon CloudWatch. The service emits metrics at 1-minute intervals for provisioned (Standard) clusters, with flexible monitoring levels (DEFAULT, PER_BROKER, PER_TOPIC_PER_BROKER, or PER_TOPIC_PER_PARTITION) to control granularity and cost. At the DEFAULT level (free), cluster-level metrics are available; higher…
