distributed-tracing

Track requests across microservices to identify latency, dependencies, and failure points. Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices. Track requests across distributed systems to understand latency, dependencies, and failure points. Reference: See references/jaeger-setup.md Reference: See references/instrumentation.md Reference: See assets/jaeger-config.yaml.template Jaeger Query: Jaeger Query: Jaeger automatically generates service dependency graphs showing: No traces appearing: High latency overhead: - Supports Jaeger and Tempo backends with OpenTelemetry instrumentation for Python, Node.js, and Go - Includes trace structure concepts (traces, spans, context, tags, logs) and automatic service dependency graph generation - Provides sampling strategies (probabilistic, rate-limiting, adaptive) to control tracing overhead in production - Covers context propagation via HTTP headers, trace analysis queries, and integration with logging for correlated logs - Debug latency issues - Understand service dependencies - Identify bottlenecks - Trace error propagation - Analyze request paths - Trace - End-to-end request journey - Span - Single operation within a trace - Context - Metadata propagated between services - Tags - Key-value pairs for filtering - Logs - Timestamped events within a span - Service relationships - Request...