Redis Cluster
Redis Cluster is a distributed implementation of Redis that automatically partitions data across multiple Redis nodes, providing high availability and scalability. It uses a master-slave architecture with automatic failover and data sharding to handle large datasets and high-throughput workloads. This allows Redis to operate as a distributed in-memory data store while maintaining its low-latency performance characteristics.
Developers should use Redis Cluster when they need to scale Redis beyond the memory limits of a single server or require high availability for critical caching, session storage, or real-time data processing applications. It's particularly useful for microservices architectures, real-time analytics platforms, and applications with high read/write loads where data partitioning and fault tolerance are essential. Learning Redis Cluster is valuable for building resilient, horizontally scalable systems that leverage Redis's speed in distributed environments.