I share real-world lessons from building scalable systems at Jump Trading, Binance, and running mission-critical cloud ops at GovTech and Singapore Air Force. No fluff, just practical takeaways, hard-earned fixes, and deep dives that matter.
Instead of always multiplying by a fixed exponent like 3, you randomize that exponent each retry. For example, anywhere between 3 to 4, so everyone’s retry schedule spreads out naturally.
This avoids the classic thundering-herd problem where all clients back off, wake up at the same time, and slam the server again. It’s a small tweak, but it makes the retry pattern a lot smoother and more stable in practice.