Redis Cluster Architecture for High-Throughput Caching

Redis Cluster Architecture for High-Throughput Caching

Redis Cluster distributes data across multiple nodes using hash slot partitioning, providing horizontal scalability and automatic failover for high-throughput caching and data storage workloads.

Cluster Topology and Data Distribution

Redis Cluster divides the keyspace into 16384 hash slots distributed across master nodes. Each master handles a subset of slots, and replica nodes provide read scaling and failover capability for each master.

Client libraries must be cluster-aware, using the MOVED and ASK redirections to route commands to the correct node. Multi-key operations work only when all keys map to the same hash slot, which you can control using hash tags in your key naming conventions.

Plan your cluster with at least three master nodes and one replica per master for production deployments. Use Redis Sentinel for simpler high-availability requirements where you do not need the horizontal scaling that cluster mode provides.

Back to Blog