Redis Development Company

Consider Redis when your database is under heavy read load (add cache-aside), you need session storage that works across multiple servers, you need rate limiting or distributed locks, you want background job queuing, or you need real-time pub/sub between services.

Redis is primarily designed as a cache or message broker, not a primary database. While it supports persistence (RDB/AOF), its durability guarantees are weaker than PostgreSQL or MongoDB. We recommend Redis as a secondary data store alongside a primary relational or document database.

Redis supports rich data structures, persistence, pub/sub, clustering, Lua scripting, and TTL on any key. Memcached is a simpler pure string cache with no persistence or pub/sub. For new projects, Redis is almost always the better choice.

We configure the eviction policy based on the use case: allkeys-lru for pure caches, volatile-lru to only evict keys with TTLs, and noeviction for queues where data must never be lost. Memory limits are set conservatively with alerts before the limit is reached.

Redis Sentinel monitors a master-replica setup and orchestrates automatic failover — one primary shard, high availability. Redis Cluster shards data across multiple primary nodes for horizontal scale-out. Most applications need Sentinel, not Cluster.

We use TTL expiry for simple cases, write-through invalidation (delete or update cache on every write) for critical data, and event-driven invalidation (delete cache keys on database change events) for complex systems.