Our automation suite is taking over two hours to run in our Jenkins pipeline, which is delaying our release cycles. We are using Selenium with Python, but the overhead of opening browser instances is massive. Are there specific Python-based frameworks or design patterns like Multiprocessing or Playwright that can significantly cut down the execution time for high-volume UI testing?
3 answers
We faced the exact same bottleneck last year. The first thing we did was move from Selenium to Playwright. Playwright's "Browser Contexts" are much lighter than Selenium's full browser instances, allowing you to run hundreds of tests in parallel on the same hardware. If you must stay with Selenium, you should implement the multiprocessing library in Python to distribute tests across multiple CPU cores. We also integrated a Selenium Grid with Docker, which allowed us to scale nodes horizontally. These changes combined reduced our total execution time from 130 minutes down to just 18 minutes. It was a massive win for our DevOps team and developer productivity.
Have you considered using a "Request-based" validation for your setup steps instead of doing everything through the UI?
Make sure you are using 'Explicit Waits' instead of 'Implicit' or 'Sleep' commands; it ensures the script moves forward the millisecond an element is ready.
Exactly, Sarah. We found so many time.sleep(5) calls in our legacy code. Replacing them with WebDriverWait shaved minutes off the total runtime.
Gregory, that was the biggest game changer for us! We started using the requests library to handle user login and data creation via APIs, only using the browser for the actual feature we are testing. This "Hybrid Automation" approach saves about 30 seconds per test case. By bypassing the UI for setup, our scripts are not only faster but also much more stable since there are fewer UI elements to break during the initialization phase of each test.