Python Observability and Tracing for Production Systems
This site is built for backend engineers, SREs, and platform teams who need reliable observability patterns in real systems. Use the guides to implement structured logging, context-safe trace propagation, and OpenTelemetry pipelines that scale under load.
Start with an architecture hub, then drill into implementation pages for async safety, performance controls, and production deployment trade-offs.
Python Logging Fundamentals
Handler architecture, formatter choices, severity routing, and context-safe logging patterns.
Modern Logging Libraries
Structlog and Loguru deployment patterns, async sinks, and production trade-offs.
Distributed Tracing + OpenTelemetry
OTel SDK setup, context propagation, span lifecycle controls, and sampling strategies.
How To Navigate This Documentation
Each pillar starts with architecture decisions and operational constraints, then links to deeper pages for one implementation pattern at a time. Pages include production code snippets and expected output blocks so patterns can be validated quickly.