How did you configure test parallelization?

Parallelization of tests allows speeding up the testing process by running multiple tests simultaneously. The setup depends on the framework and infrastructure used.

Main approaches:

• Parallel execution at the test case or test suite level. For example, in pytest, the -n parameter with the pytest-xdist plugin is used to run tests in multiple threads or processes.

• Distributed testing across multiple machines or containers. Used in large projects with CI/CD systems (Jenkins, GitLab CI) and cloud services (Selenium Grid, BrowserStack).

• Parallelization at the level of test suites. Dividing tests into groups and running each group separately.

Example of setting up parallel execution in pytest:

pip install pytest-xdist
pytest -n 4  # Run tests in 4 parallel threads

Important considerations:

• Test isolation to prevent conflicts during parallel execution.
• Management of shared resources (databases, files).
• Logs and reports should be correctly collected from parallel threads.

Thus, setting up parallelization requires analysis of the test base and infrastructure, as well as proper configuration of tools.