Distributed Tracing

About

This skill provides comprehensive guidance for establishing deep observability within distributed systems by tracking request journeys through complex service meshes. It offers production-ready implementation patterns for OpenTelemetry across multiple languages including Python, Node.js, and Go, alongside infrastructure setup for Jaeger and Grafana Tempo. By utilizing this skill, developers can effectively map service dependencies, debug high latency in production environments, and gain granular visibility into inter-service communication and failure points.

Key Features

• Infrastructure deployment configurations for Kubernetes and Docker Compose
• Multi-language instrumentation patterns for OpenTelemetry (Python, Node.js, Go)
• Guidance on trace analysis for identifying latency bottlenecks and error propagation
• Advanced sampling techniques to balance observability detail with system overhead
• 23,139 GitHub stars
• Context propagation strategies for maintaining trace integrity across service boundaries

Use Cases

• Debugging high latency and performance bottlenecks in complex microservice architectures
• Tracing error propagation and identifying root causes in multi-service application failures
• Mapping service dependencies and visualizing request paths across distributed systems