Distributed Tracing with Sleuth/Zipkin
Implement distributed tracing using Spring Cloud Sleuth and Zipkin to track event flows across multiple microservices.
Why Trace Distributed Systems?
In a microservices architecture, a single user request often travels through many different services. This distributed nature makes it incredibly hard to track the flow of requests and pinpoint where issues occur.
Distributed tracing helps you visualize the full journey of a request across all services involved, making debugging and performance monitoring much easier.
Trace and Span: Your Navigation Tools
Distributed tracing relies on two core concepts:
- Trace: Represents the complete journey of a request through a system, from start to finish. It's like a story of one operation.
- Span: A single, logical unit of work within a trace. Each operation (e.g., an HTTP request, a database call, sending a Kafka message) gets its own span. Spans have parent-child relationships, showing cause and effect.
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