While testing a universal database library, a bug erroneously updated a production column. A backup saved us. I now steer clear of production setups and haven’t informed my supervisors.
hey lu, i’ve been in that spot too. now i strictly separate testing and prod, and sometimes i run a canry release for risky changes. messes like that taught me hard - better safe than sorry, right?
hey lu! that sounds like a rough day – sometimes bugs really catch u off-guard. did u find any further ways to secure the test env? maybe we’ve both seen near misses like this, let’s share some tips? keen to hear ur experince
hey, been in that mess too. i now exclusively use an isolated test env so no prod data gets messed up. backups saved my ass once, so id keep those safety nets active.
I have faced similar incidents where minor oversights almost led to serious production issues. My experience taught me that establishing clearly defined boundaries between test and production environments is vital. I now enforce strict checks and deploy automated scripts that simulate production settings without risking actual data. Implementing a review process before any code deployment has also been an effective measure in preventing such errors. Meticulous planning and compartmentalized environments are key practices that have helped safeguard production data and enhance overall system integrity.
hey lu, even tho it’s messy, how do u now balance speed vs prod saftey? i been tinkering with auto-checks but not sure if it’s enuf. what kinda checks do u lean on these days?