Redis stores key-value data in memory with optional persistence to disk. It supports strings, hashes, lists, sets, sorted sets, and streams, with sub-millisecond read latency. Redis Cluster and Sentinel provide high availability and horizontal scaling.
Codeaxes adds Redis to nearly every production stack to cache expensive database queries, store session tokens, implement rate limiters, and decouple services via pub/sub. It prevents PostgreSQL from becoming a bottleneck under read-heavy traffic patterns.