Distributed Tracing

About

This skill provides a comprehensive framework for implementing end-to-end observability in distributed systems. It guides developers through the deployment of Jaeger and Tempo, the instrumentation of applications using OpenTelemetry across Python, Node.js, and Go, and the management of trace context propagation. By leveraging these patterns, teams can gain deep visibility into service dependencies, latency issues, and error propagation, making it an essential resource for debugging complex microservice architectures and maintaining high-performance production environments.

Key Features

• Multi-language OpenTelemetry instrumentation for Python, Node.js, and Go
• Context propagation patterns for HTTP service boundaries
• 0 GitHub stars
• Advanced sampling strategies including probabilistic and rate-limiting
• Kubernetes and Docker Compose deployment patterns for Jaeger and Tempo
• Trace-log correlation techniques for unified debugging

Use Cases

• Visualizing service dependencies and mapping system architecture
• Identifying high-latency bottlenecks in complex request chains
• Root cause analysis for intermittent errors across distributed services