X-Ray vs Jaeger

Developers should use X-Ray when building or maintaining cloud-native applications on AWS, especially those with complex architectures like microservices, serverless functions (e 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.

X-Ray

Nice Pick

Developers should use X-Ray when building or maintaining cloud-native applications on AWS, especially those with complex architectures like microservices, serverless functions (e

Pros

• g
• Related to: aws-lambda, 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 X-Ray if: You want g 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 X-Ray offers.

The Bottom Line

X-Ray wins

Developers should use X-Ray when building or maintaining cloud-native applications on AWS, especially those with complex architectures like microservices, serverless functions (e