Caching Strategies

Overview

Poorly designed caches cause data staleness, thundering herds on cold starts, unbounded memory growth, and invalidation bugs that silently serve wrong data for hours. Use this guide when designing a new cache layer, reviewing caching code, or debugging performance regressions tied to cache misuse.

When to use: Adding caching to a service or API; reviewing code that reads from Redis, Memcached, or an in-process store; evaluating CDN configuration; auditing memory usage of long-running processes; troubleshooting stale-data incidents.

Quick Reference