Kafka Metrics (JMX) and Health Checks
Understand key Kafka broker and client metrics exposed via JMX and how to perform health checks for your Spring Boot applications.
Why Monitor Kafka & Apps?
In event-driven systems with Kafka, understanding the health and performance of your brokers and applications is crucial. Monitoring helps you detect issues early, optimize resource usage, and ensure reliable message processing.
Without proper monitoring, you'd be flying blind, unaware of potential bottlenecks, outages, or data loss risks. It's like driving a car without a dashboard!
Introducing JMX for Java Apps
JMX stands for Java Management Extensions. It's a standard technology for monitoring and managing Java applications. Kafka, being a Java application, exposes a wealth of operational data through JMX.
JMX uses objects called MBeans (Managed Beans) to expose attributes (data) and operations (actions) of an application. These MBeans provide insights into everything from memory usage to Kafka-specific metrics.
All lessons in this course
- Kafka Metrics (JMX) and Health Checks
- Integrating with Prometheus & Grafana
- Distributed Tracing with Sleuth/Zipkin
- Monitoring Consumer Lag and Setting Alerts