We had a rollout where requests in one client environment started timing out under load. Not locally. Not in staging. Only in their infra. At first, everything looked normal. No crashes. No clear errors. Just slow requests piling up until the system started struggling. The obvious move would have been to add more logs and redeploy. We didn’t do that. When your system runs continuously, every redeploy is a risk. You don’t push changes blindly. You need to understand the problem before touching anything. So instead of changing code, we changed how we looked at the system. Start With One Request Instead of scanning logs randomly, we focused on a single request and followed it through the system. That changed everything. What we saw was simple: The API received the request instantly An internal service call was taking several seconds The downstream AI layer was fast So the problem wasn’t external. It was inside our own system. Break Down the Time Looking at request-level logs wasn’t enough.…