What are some use cases for Redis clustering?
Redis clustering is great for high availability and scalability. Common use cases include caching, session storage, and real-time analytics.
Can you explain how Redis clustering improves performance?
Redis clustering improves performance by distributing data across multiple nodes, allowing for parallel processing and reducing latency.
What are the benefits of using Redis for session management?
Using Redis for session management offers fast access times, persistence options, and the ability to handle large volumes of sessions efficiently.
Are there any limitations to Redis clustering?
Yes, some limitations include complexity in setup, potential data loss during partitioning, and the need for careful key management.
How does Redis handle data replication in a cluster?
Redis uses master-slave replication in clusters, where data is replicated from master nodes to slave nodes for redundancy and failover.
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