Python Logging That Actually Helps
Logging is the narrative of your system. Make it concise, contextual, and consistent.
1. Start with intent
Every log entry should answer a question. Is it for debugging, auditing, or user-facing support?
2. Structure your logs
Use JSON or key-value formats. Plain text is a dead end for automated analysis.
3. Log context, not just events
Include request IDs, pipeline stage names, and data volume summaries.
4. Keep levels meaningful
If everything is a warning, nothing is. Tune log levels and aggregate noise.