#Redis

Compare Redis Pub/Sub and Apache Kafka. Discuss trade-offs regarding message persistence, consumer grouping, backpressure, and delivery guarantees.

Compare Redis Pub/Sub with periodic polling. What are the latency, network overhead, and scalability differences between the two approaches?

Explain how Redis Cluster provides horizontal scalability through hash slots, sharding, and node coordination.

Explain the architecture of Redis Sentinel, focusing on high availability, monitoring, notification, and automated failover.

Explain what Redis is, its data structures, and common production use cases such as caching, rate limiting, and session storage.