Introduction to Redis
summary
Introduces Redis, an in‑memory key‑value store (strings, hashes, lists, sets, sorted sets) that can reach ~150,000 ops/sec on modest hardware. Covers concrete use cases: per-key TTL HTTP caching, high‑throughput pub/sub for web chat, and leaderboards using sorted sets; explains persistence tradeoffs between RDB snapshots and AOF command logs and mentions scaling with sharding (cluster) and high availability via Sentinel.
AI-written summary · about
chapters (9)
- 0:00Introduction
- 1:11What is Redis?
- 4:23Redis as key-value
- 8:14Redis data types
- 15:24Redis as cache
- 18:58Pub/sub
- 20:02Disk persistence
- 23:20Practical use cases
- 26:32Transactions and cluster
related talks
01h 01mMemory First An introduction to Redis
27mBehind the Keys: Redis Oyster Cult
10mRedis, databaza në memorie me shumë përdorime
24mWhen Real Time Meets Big Data & Analytics
59mUsing Redis beyond caching
46mFun with Ruby and Redis
50mNext Level Redis With Spring Data
25mpersistent collections as a service