General
568 installs
python-observability
by wshobson/agents
Python observability patterns including structured logging, metrics, and distributed tracing. Use when adding logging, implementing metrics collection, setting…
Skill content
Python Observability Instrument Python applications with structured logs, metrics, and traces. When something breaks in production, you need to answer "what, where, and why" without deploying new code. When to Use This Skill - Adding structured logging to applications - Implementing metrics collection with Prometheus - Setting up distributed tracing across services - Propagating correlation IDs through request chains - Debugging production issues - Building observability dashboards Core Concepts 1. Structured Logging Emit logs as JSON with consistent fields for production environments. Machine-readable logs enable powerful queries and alerts. For local development, consider human-readable formats.