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In memory data store for caching, queues and real time features.
Redis keeps data in memory for sub millisecond access. It is used as a cache, a message broker, a rate limiter and a store for sessions and leaderboards.
Commonly used in: Caching, queues, sessions, rate limits and real time counters in almost every scaled app.
Speeding up hot paths
Background jobs
Real time presence and counters
Caching layers
Job queues
Rate limiting and session stores
Live availability counters
We add Redis where measured performance needs it, and treat cache invalidation as part of the design rather than an afterthought.
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