We duplicate the production environment and sanitize all the data to be anonymous. We run our automated tests on this production-like data to smoke test. Our tests are driven by pytest and Playwright. God bless, I have to say how much I love Playwright. It just makes sense.
This is my first time hearing about Playwright. Curious to know what you like about it over other frameworks? I didn't glean a whole lot from the website.
How big is your production dataset? Are you duplicating this for each deploy? Asking this because I work on a medium size app with only about 80k users and the production data is already in the tens of terabytes.
We are in tens of gigabytes and not tens of terabytes. I don't think our approach would work well for that dataset size unless you are able to shed some historical data that you don't need to assert functionality.
