A production incident involving intermittent connection failures and unstable recovery behavior. The fix was surgical. The real lesson was about what not to do first.
Every minute of instability translated directly to failed requests and visible errors for customers. This wasn't just a technical incident — it was a trust problem with a clock on it.
You're the on-call engineer at a SaaS platform. Production pods are restarting intermittently. Users are seeing failures. Logs are noisy and contradictory. Leadership is asking for answers. You don't have time to guess. What do you do first?
No hints. Just judgment.
Scaling pods feels decisive under incident pressure. It reduces visible restart frequency and buys a little breathing room. But if the restarts are caused by a bug rather than load, scaling distributes the broken behavior across more instances, increases system noise, and makes the failure harder to isolate. It is the reason some incidents run for hours — the team keeps buying time instead of finding the cause.