distributed-tracing
Track requests across microservices to identify latency, dependencies, and failure points.
- 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
Distributed Tracing
Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices.
Purpose
Track requests across distributed systems to understand latency, dependencies, and failure points.
When to Use
- Debug latency issues
- Understand service dependencies
- Identify bottlenecks
- Trace error propagation
- Analyze request paths
Distributed Tracing Concepts
Trace Structure
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