Logging for Deployment in Python: A Practical Guide to Effective Debugging and Monitoring
Introduction
Are you still using print() statements for debugging in Python? Upgrade your logging game with Python's built-in logging module or the Loguru library!
If you're tired of scattered print statements cluttering your codebase, it's time to embrace the power of logging in Python. Whether you're a beginner or an experienced developer, mastering logging techniques is essential for effective debugging, monitoring, and troubleshooting of your Python applications.
Logging in Python allows you to set different levels of logging, such as DEBUG, INFO, WARNING, ERROR, and CRITICAL. With these levels, you can control the verbosity of log messages and focus on the information relevant to your current task.