Zipkin vs Jaeger

Developers should use Zipkin when building or maintaining distributed systems, especially microservices, to monitor request flows and debug latency issues meets developers should learn jaeger when building or maintaining distributed systems, especially microservices, to diagnose performance issues, identify bottlenecks, and debug complex request flows. Here's our take.

Zipkin

Nice Pick

Developers should use Zipkin when building or maintaining distributed systems, especially microservices, to monitor request flows and debug latency issues

Pros

• It is essential for identifying slow services, understanding dependencies between components, and optimizing performance in complex architectures
• Related to: distributed-tracing, microservices

Cons

• Specific tradeoffs depend on your use case

Jaeger

Developers should learn Jaeger when building or maintaining distributed systems, especially microservices, to diagnose performance issues, identify bottlenecks, and debug complex request flows

Pros

• It is essential for observability in modern applications, enabling teams to trace requests across multiple services, which is critical for maintaining reliability and performance in production environments
• Related to: distributed-tracing, opentelemetry

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use Zipkin if: You want it is essential for identifying slow services, understanding dependencies between components, and optimizing performance in complex architectures and can live with specific tradeoffs depend on your use case.

Use Jaeger if: You prioritize it is essential for observability in modern applications, enabling teams to trace requests across multiple services, which is critical for maintaining reliability and performance in production environments over what Zipkin offers.

The Bottom Line

Zipkin wins

Developers should use Zipkin when building or maintaining distributed systems, especially microservices, to monitor request flows and debug latency issues