Reducing repeated database queries with Redis

Project Overview

Repeated requests for listings and dashboard data were placing avoidable work on the academy's database. Some responses could be reused between changes to the underlying records.

We introduced Redis using a cache-aside approach. The API checks the cache first, queries the database when necessary, and stores the result for later requests. Targeted invalidation removes affected entries when records change.

The team monitored cache use and adjusted expiry rules. Expiry rules and invalidation were part of the design: a fast response was useful only while the underlying information remained current.