distributed-tracing

Implement distributed tracing by instrumenting your microservices with provided guidelines and deploying the tracing stack. This applies Jaeger and Tempo to collect traces, manage context propagation, and observe requests end-to-end across your architecture.

Distributed tracing is used to provide end-to-end visibility into requests across microservices. It helps you pinpoint latency, map dependencies, and identify failure points by correlating spans and propagating context across service boundaries.

Use Jaeger and Tempo for tracing by integrating them into your stack to collect and visualize end-to-end traces. This enables context propagation and span management to correlate requests, allowing you to perform performance bottleneck analysis in distributed systems.

Yes, you can use OpenTelemetry for context propagation in distributed systems. It provides instrumentation code examples and best practices to correlate requests across microservices by managing spans and propagating context end-to-end.

The best way to debug latency in microservices is applying distributed tracing with Jaeger and Tempo. This approach uses analytics and visualization to identify bottlenecks and failure points, providing end-to-end visibility into request performance.