distributed-tracing

You can track requests across microservices by implementing distributed tracing with Jaeger and Tempo. This approach visualizes request paths and dependencies to pinpoint exactly where latency issues and errors occur in your system.

Distributed tracing helps debug slow request flows by visualizing the exact path a request takes across services. It traces errors and failure propagation, allowing you to identify specific services causing delays.

Yes, you need OpenTelemetry to set up Jaeger and Tempo for microservices observability. Implementing distributed tracing requires application instrumentation with OpenTelemetry and context propagation via HTTP headers.

The best way to visualize request paths and dependencies in distributed systems is using distributed tracing tools like Jaeger and Tempo. These tools provide deep visibility into request flows for performance analysis.

Yes, you can trace an e-commerce request from the frontend through the API gateway to the payment service. Distributed tracing follows the request flow across all microservices to find exactly where delays occur.

Context propagation via HTTP headers matters for distributed tracing because it passes trace context between microservices. Without proper HTTP header propagation, trace context is lost and request flows cannot be visualized across service boundaries.