Cloud

Accelerating Express APIs with Redis Caching

2026-07-12 • 1 min read

High-traffic API endpoints can overload database engines, leading to slow page responses and database connection limits.

Install a Redis key-value caching database layer to store completed SQL queries and API response JSON payloads.

Build cache middleware that checks Redis for requests, returning cached data instantly if found.

Set appropriate time-to-live (TTL) expiration rules to automatically evict old cache files.

Delete target Redis cache keys when write actions update user database profiles, keeping data synchronized.