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Redis Introduction
Redis is an in-memory data store β it keeps data in RAM, so reads and writes take *microseconds*. It's one of the most widely used pieces of infrastructure in modern backends.
Not just a cache
Redis is famous as a cache, but it does far more: session store, rate limiter, message broker, job queue, leaderboard, and real-time analytics. It stores rich data types, not just strings.
| Use | How Redis helps |
|---|---|
| Caching | serve hot data without hitting the database |
| Sessions | fast, shared session storage with expiry |
| Rate limiting | atomic counters per user/IP |
| Queues / Pub-Sub | background jobs and real-time messaging |
| Leaderboards | sorted sets ranked by score |
Why it's fast
- Data lives in memory, not on disk.
- It's effectively single-threaded for commands β so each command is atomic, with no locking needed.
- Simple, efficient data structures purpose-built for speed.
The trade-off
Note: Because it's in-memory, Redis is limited by RAM and data can be lost on crash β but it can persist to disk for durability (covered later). It complements your main database rather than replacing it.
Tip: Think of Redis as a fast layer *alongside* your primary store (PostgreSQL, MongoDB): keep the source of truth there, and use Redis for the speed-critical, ephemeral, or high-throughput parts.
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