Python
Intermediate
What is Python Logging Best Practices?
Structured approaches to implementing logging in Python applications using the built-in logging module for debugging and monitoring.
Python's logging module provides a flexible framework with five severity levels: DEBUG, INFO, WARNING, ERROR, and CRITICAL. Best practices include: use getLogger(__name__) for per-module loggers, configure logging once at application entry point, use structured logging (JSON format) for production, include contextual information (request IDs, user IDs), avoid logging sensitive data (passwords, tokens), use appropriate levels consistently, and configure different handlers for different environments (console for dev, file/syslog for production). Log rotation (RotatingFileHandler, TimedRotatingFileHandler) prevents disk exhaustion. Libraries should log to NullHandler by default, letting applications configure output.
