Redis is an in memory data store used for caching, message queues, and high performance key value operations. Because Redis stores data in memory, it offers extremely low latency. It supports data structures such as lists, sets, sorted sets, and hashes. Redis is widely used to accelerate backend applications, reduce database load, and support real time features. Many systems use Redis for session storage, rate limiting, task queues, or pub/sub messaging.
How it Works
Redis runs as a server process and accepts commands over a TCP connection. It persists data either through periodic snapshots or append only logs. Redis operations are atomic, making it suitable for concurrency heavy workflows. Clustering enables horizontal scaling and partitioning. Because Redis is fast but memory bound, careful capacity planning is required. Integrating Redis correctly can dramatically improve application performance.