Caching Strategies at Scale
Put a Redis cache in front of a slow data path with the cache-aside pattern, choose sensible TTLs and invalidation rules, and protect the cache from stampedes under load.
Prerequisites: REST API Fundamentals with Node.js; Database Schema Design; Redis running locally.
Targeted versions: Redis 7.x / Valkey-compatible; ioredis client; verified against Redis documentation and current caching-pattern references, mid-2026.
You'll add a Redis cache in front of your tasks endpoint from earlier in this roadmap, using the cache-aside pattern — the most common caching strategy in real systems — and then harden it against the two failure modes that catch most people off guard: stale data after a write, and a stampede of duplicate work when a hot key expires.
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