Expiration and eviction are two different promises
A TTL controls freshness over time. An eviction policy controls what happens under memory pressure. Your cache needs both decisions.
Redis.
An in-memory data structure server used for caches, counters, queues, and other application patterns.
Official documentationWhere it fits
An in-memory data structure server used for caches, counters, queues, and other application patterns.
This profile covers a in-memory data store in the Caching & in-memory category.
Evaluate it for your workload
Start with your access patterns, data size, concurrency, and recovery requirements. Check the official documentation for the exact edition, engine version, and deployment model you intend to use.
For self-managed deployments, account for upgrades, monitoring, access controls, and the process for recovering your data.
Learn by doing
Related guides appear below as they complete editorial review. Use those examples as a starting point for testing a representative development workload.
Put it into practice.
Guides & tutorialsCache-aside with Redis: the easy part is the lookup
Follow a cache hit and miss, then work through invalidation, stale data, and the race conditions hiding between them.