In-Memory Data Structure Server
Redis is not just a cache — it is a data structure server. Strings, hashes, lists, sets, sorted sets, streams, and HyperLogLog are all first-class citizens. We use Redis for session storage, rate limiting, pub/sub messaging, real-time leaderboards, distributed locks, and BullMQ job queues.
Common Redis Patterns We Deploy
- Write-through and write-behind caching for database query results
- Token bucket rate limiting for API protection
- Pub/Sub for real-time notifications across microservices
- Sorted sets for leaderboards and time-based queues
- Redis Streams as a lightweight message broker
- Redis Sentinel and Cluster for high availability