distributed-tracing

Implement distributed tracing with Jaeger/Tempo to track requests across microservices and identify performance bottlenecks.

• Track requests across microservices using traces and spans
• Propagate context between services via HTTP headers
• Visualize request flows and identify latency or errors
• Enable observability in distributed systems

• Track end-to-end request journeys (trace)
• Break down operations into spans (operations within a trace)
• Propagate context between services (context propagation)
• Use tags and logs to filter and analyze data
• Supports multiple languages (Python, Node.js, Go)
• Integrates with Kubernetes and Docker
• Provides UI for real-time monitoring
• Identifies performance bottlenecks and errors

1. 1.Deploy Jaeger or Tempo using Kubernetes or Docker Compose
2. 2.Instrument applications (Flask, Express, Go) with OpenTelemetry
3. 3.Configure context propagation via HTTP headers
4. 4.Start and monitor spans in the Jaeger UI