Three months ago, I was hunting down a memory leak in our Flask API that was driving me absolutely insane. The app would run fine for hours, then suddenly RAM usage would spike and everything would crash. Profilers showed nothing useful. Logs were useless. My manager kept asking "is it fixed yet?"
In my desperation, I started writing small Python scripts to track every possible metric I could think of - not because I knew what I was doing, but because I was running out of ideas. I tracked function call counts, database connection pools, even how many times certain variables were accessed. Most of it was probably stupid, but I was grasping at straws.
The weird thing is, those hacky little monitoring scripts I threw together in frustration actually became the most useful debugging tool our team has ever had. Not because they're sophisticated (they're definitely not), but because they were built by someone who was genuinely confused about what was happening in their own code.
This talk is the story of how desperation led to accidentally building something useful, and why sometimes the best tools come from not knowing what you're supposed to be doing. I'll show you the exact scripts I wrote (warts and all), the embarrassing assumptions I made, and how you can steal these ideas to debug your own mysterious problems - even if you have no idea what you're doing either.