Redis Integration
We integrate Redis for caching, sessions, queues, and real-time features. Lightning-fast performance.
Redis Integration
We integrate Redis for caching, sessions, queues, and real-time features. Lightning-fast performance.
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Redis Capabilities
- In-memory storage
- Extremely high speed
- Multiple data structures
- Pub/Sub system
- Caching
- Sessions and queues
- Data persistence
- Clustering
Use Cases
About Redis
Redis (Remote Dictionary Server) is an in-memory data store created by Salvatore Sanfilippo in 2009. Redis stores all data in RAM, providing sub-millisecond responses. It supports persistence via RDB snapshots and AOF logging.
Redis is used by Twitter, GitHub, Stack Overflow, Pinterest, and Snapchat. Twitter caches user timelines in Redis. GitHub uses Redis for task queues and caching. Stack Overflow stores sessions and rate limiting in Redis, handling millions of requests.
Redis supports multiple data structures: strings, lists, sets, hashes, sorted sets, bitmaps, HyperLogLog. Pub/Sub enables real-time systems. Streams (Redis 5+) provide event logging similar to Kafka.
Typical Redis use cases: database query caching, user session storage, API rate limiting, task queues (Bull, Sidekiq), game leaderboards, geospatial indexes. Redis Cluster provides horizontal scaling and high availability.