Redis
In-memory speed for caches, queues and leaderboards.
Redis keeps data in memory and typically answers in under a millisecond, which is why apps put it next to their main database. It is a key-value store whose values are real data structures: strings, hashes, lists, sets and sorted sets. This track starts from zero in redis-cli. You will store and expire keys, count with atomic increments and model objects with hashes. Then you will build the patterns that power real apps: a cache in front of a database, a rate limiter, a job queue, a leaderboard and live events with pub/sub.
Every example shows the exact replies redis-cli prints, so you always know what to expect.
- Lessons
- 14
- Time
- 2 h
- Level
- Beginner
- Bronze open
- Silver open
- Gold locked
Ready to prove it?
Three exams are waiting: Bronze, Silver and Gold.
What you'll be able to do
- Store, read and expire keys in redis-cli
- Count safely with INCR and model objects with hashes
- Put a cache in front of a database with cache-aside
- Rate-limit requests and run a simple job queue
- Build a live leaderboard with sorted sets
- Choose between pub/sub and streams for events
The journey
1 Module 1Keys in memory
What Redis is, strings and counters, expiry, naming keys, and hashes.
0 / 42 Module 2Patterns that power apps
Caching, rate limiting, queues and sets, leaderboards, and live events.
0 / 63 Module 3What comes next
Transactions and scripts, persistence and replication, streams in depth, and Redis from code.
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