Logging in a Python web application can be implemented using the built-in logging module, which provides a flexible framework for emitting log messages at various severity levels.

Implementing logging in a Python web application is essential for monitoring application behavior, debugging issues, and maintaining operational awareness. The built-in logging module in Python provides a powerful and flexible framework for emitting log messages at different severity levels, such as DEBUG, INFO, WARNING, ERROR, and CRITICAL. To get started, developers can configure the logging module by specifying a logging level, format, and output destination (such as console or log files). For example, setting the logging level to DEBUG will capture all log messages of level DEBUG and higher, while INFO will capture INFO and higher messages. Developers can also create custom loggers to categorize logs from different parts of the application, which is particularly useful in larger projects. It’s important to ensure that sensitive information is not logged, especially in production environments. Additionally, configuring log rotation helps manage log file sizes and ensures that older logs are archived or deleted as necessary. By effectively implementing logging, developers can gain valuable insights into application performance, diagnose issues, and improve overall maintainability.