distributed-tracing

Distributed tracing tracks requests across microservices to pinpoint latency issues. By visualizing the request journey, you can identify exactly which network hop or service causes performance bottlenecks during complex processes like e-commerce checkout.

OpenTelemetry instruments your services to generate trace data and exports it to Jaeger. This configuration enables end-to-end request tracking by collecting spans from each microservice and visualizing the complete request flow in Jaeger.

Tracing the path of failed requests is the best way to debug errors in distributed systems. By following the trace data across services, you can identify the exact root cause of failures, such as a payment service timing out during checkout.

Yes, this solution supports both Jaeger and Zipkin as tracing backends. You can configure your OpenTelemetry instrumentation to export span data to either platform, allowing you to choose based on your existing performance monitoring infrastructure.

You configure correlation ID propagation by instrumenting your Node.js application with OpenTelemetry. This ensures trace context is passed between services, allowing the tracing backend to stitch together spans into a complete request trace.