Redis Persistence & HA
Understand Redis persistence options (RDB, AOF) and strategies for high availability using Sentinel or Cluster.
Saving Your Redis Data
Imagine your Redis server suddenly crashes! Without a plan, all the valuable data stored in its memory would be lost forever. This is where persistence comes in.
Redis persistence means saving your in-memory dataset to disk. This ensures that even if Redis restarts or crashes, your data can be restored from the saved copy.
RDB: The Snapshot Method
Redis Database (RDB) persistence works by taking periodic snapshots of your dataset. It creates a compact, point-in-time representation of your data.
- Pros: Very fast for backups and restores, compact file size.
- Cons: Potential for data loss between snapshots if a crash occurs.
All lessons in this course
- Redis Persistence & HA
- Distributed Caching with Redis
- Redis Pub/Sub for Invalidation
- Redis Cluster and Sharding