📋

Python Logging Config

Verified

by Community

Configure Python's logging module for production applications. Covers log levels, formatters, handlers, filters, logger hierarchy, dictConfig, structured JSON logging, and integration with monitoring tools like Sentry and Datadog.

loggingpythonmonitoringstructuredconfiguration

Python Logging Config

A guide to setting up structured, production-grade logging in Python applications using the built-in logging module.

Usage

Ask about logging configuration, handlers, formatters, structured logging, or log aggregation.

Examples

  • "Configure dictConfig for a production application"
  • "How do I set up JSON structured logging?"
  • "Create custom log handlers for different outputs"

Guidelines

  • Use logging.getLogger(__name__) for module-level loggers
  • Configure logging once at application startup with dictConfig
  • Use structured JSON format for machine-parseable logs
  • Set appropriate log levels per environment
  • Never log sensitive information like passwords or tokens