When an application runs, it performs a tremendous number of tasks, with many happening behind the scenes. Even a simple to-do application has more than you'd expect. The app will at a bare minimum have tons of tasks like user logins, creating to-dos, updating to-dos, deleting to-dos, and duplicating to-dos. The tasks an application performs can result in success or potentially result in some errors.
For anything you're running that has users, you'll need to at least consider monitoring events happening so that they can be analyzed to identify bottlenecks in the performance of the application. This is where logging is useful. Without logging, it's impossible to have insight or observability into what your application is actually doing.
In this article, you'll learn how to create logs in a Python application using the Python logging module. Logging can help Python developers of all experience levels develop and analyze an application's performance more quickly. Let's dig in!
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The ultimate guide to Python logging - Honeybadger Developer Blog
Logging is a valuable tool for performance, monitoring, and debugging. Jump into this article to learn best practices for practical Python logging.
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