Caching in System Design

Sat, 20 Jun 2026 12:00:00 +0000

Caching trades memory and freshness for speed and reduced load. By storing a copy of frequently accessed data closer to the consumer, you serve repeated requests without touching the primary data store.

At scale, caching is one of the highest-leverage tools available. A database query that takes 20ms on a cold path takes under 1ms when served from Redis. That difference compounds across millions of requests per day.

Caches live at many layers. Client-side caches store data in the browser or mobile app. CDN caches hold static assets and rendered pages at the edge.

Caching on TutorialEdge.net

Caching in System Design