At this scale, even minor overloads aren't isolated events, they cascade. A brief spike in one part of the system can ripple outward: downstream services time out, retries pile up, and degradation amplifies into broader failure. This blog shares how we built an intelligent load manager that detects overload from multiple signals to keep our databases stable and fair under pressure.
https://www.uber.com/us/en/blog/from-static-rate-limiting-to-intelligent-load-management