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Build Logging in Test Automation Framework

Logging setup for Python-based test automation frameworks. Best practices for logging configuration.

Logging is a crucial yet often overlooked part of test automation. Without proper logging, debugging test failures can become frustrating and time-consuming. This course will teach you how to set up, configure, and optimize logging for your automation framework using Python’s built-in logging module.

What you’ll learn

Course Content

Requirements

Logging is a crucial yet often overlooked part of test automation. Without proper logging, debugging test failures can become frustrating and time-consuming. This course will teach you how to set up, configure, and optimize logging for your automation framework using Python’s built-in logging module.

Whether you’re a Junior QA Automation Engineer looking to strengthen your foundation, a Middle/Senior Engineeraiming to improve logging practices, or a DevOps Engineer interested in how automation frameworks handle logging, this course will provide valuable insights.

You Will Learn:

– Why logging is essential in automated testing
– A hands-on case study on setting up a logging solution from scratch
– Best practices for implementing structured and informative logs
– In-depth details of key test automation service implementations
– How to configure and use loggers for essential test automation services (API, SFTP, HTTP)
Approaches to logger configuration – how to inject logging into SFTP, HTTP, and database connections
Handling multiple loggers – structuring logging for large-scale automation projects

By the end of this course, you will have the skills to integrate logging into your automation framework, making test execution more transparent, debugging more efficient, and reporting more insightful.

Prerequisites: Basic Python programming (0.5–1 year of experience is enough).

Join now and take your test automation skills to the next level!