Cache Eviction and Expiration
Master techniques for managing cache size, setting expiration times (TTL), and handling cache invalidation.
Why Cache Expiration Matters
Caching is great for speed, but cached data can become stale, meaning it no longer reflects the true source of information. Also, caches have limited memory.
This lesson explores how to manage these issues using expiration and eviction techniques in Redis.
Introducing Time To Live (TTL)
Time To Live (TTL) defines how long a cached item remains valid. Once its TTL expires, Redis automatically removes the key.
- Prevents stale data from being served indefinitely.
- Frees up memory for newer, more relevant data.
All lessons in this course
- Why Cache? Introduction to Caching
- Implementing Basic Cache Patterns
- Cache Eviction and Expiration
- Preventing Cache Stampedes and Thundering Herds