Operations | Monitoring | ITSM | DevOps | Cloud

Your Python app is throwing errors in production right now. Some of them are obvious: a 500 response, an angry Slack message from support. But most are quiet. A background task swallows an exception. A race condition surfaces only under load. A third-party API returns unexpected data and your code handles it by not handling it. If you’re relying on log files and user reports to find these, you’re debugging after the damage is done.

When an error appears in production, the hardest part often isn’t seeing what broke. It’s understanding why. That’s why we built Root Cause Analysis (RCA). It helps connect the dots between an error and its likely cause, so you can spend less time investigating and more time moving forward. Until now, RCA was only available through plans that included AI credits. Starting today, free plan users can purchase an AI credit subscription and use RCA without changing plans.