Redis is a powerful in-memory data store that can dramatically improve your application performance. In this article, we explore the best caching strategies and patterns for production systems.
Cache-Aside Pattern
The most common caching pattern. Check cache first, if miss, load from database and store in cache.
Write-Through Caching
Write to both cache and database simultaneously. Ensures cache is always up to date but adds latency to write operations.
TTL-Based Expiration
Set appropriate TTL values based on your data's staleness tolerance. Use shorter TTLs for frequently changing data and longer TTLs for static content.