skill-observability-tracing

What problem does it solve?

This guide provides best practices for implementing distributed tracing with OpenTelemetry across Node.js and Python apps, enabling end-to-end visibility, performance insights, and error diagnosis.

Core Features & Use Cases

• Instrumentation setup for Node.js and Python
• Context propagation, sampling strategies, and trace export to Jaeger/Tempo
• Manual instrumentation and semantic conventions for consistent tracing
• Use Case: diagnose latency across multiple services by correlating traces and spans

Quick Start

Configure your application to initialize OpenTelemetry tracing early and export traces to your OTLP endpoint.