Modern backend systems spend enormous effort optimizing databases, tuning queries, and scaling infrastructure. Yet some of the most expensive production incidents begin with a single innocent event: A cache entry expires. Everything looks healthy. CPU is low. Memory is stable. Latency is acceptable. Then suddenly: PostgreSQL reaches 100% CPU Redis traffic spikes Request latency explodes Pods start scaling Error rates climb Nothing is technically "broken." Your cache simply stopped protecting you

Cache Stampede in Go: Preventing Thundering Herds with Singleflight, Stale Caching, and Request Coalescing
Serif COLAKEL
