Redis is a popular in-memory data structure store used for caching, real-time statistics storage, and message brokering. Understanding its operational aspects is essential for DevOps and Platform engineers. Key points include eviction policies (noeviction, allkeys-lru/lfu/random, volatile-lru/lfu/random/ttl), persistence through RDB snapshots or AOF logs, and handling split-brain scenarios in Redis Cluster. Choosing the right eviction policy depends on application requirements, while combining LRU and LFU algorithms can improve performance. Persistence mechanisms have trade-offs between speed of recovery and resource consumption. Split-brain scenarios occur when network issues cause multiple masters to be elected in different partitions, leading to data inconsistencies. To avoid split-brain, maintain a reliable network infrastructure, configure cluster nodes properly, and consider using alternatives like Dragonfly for large datasets.