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This article explains how Redis handles memory pressure using configurable maxmemory limits and a variety of eviction policies—including noeviction, volatile‑lru, volatile‑lfu, allkeys‑lru, and allkeys‑random—while offering guidance on selecting appropriate policies and sizing cache capacity for optimal performance.
This article explains how Redis handles memory exhaustion by using key expiration commands, describes the three expiration strategies, details the eight maxmemory eviction policies, and dives into the internal LRU and LFU algorithms with their configuration parameters and code examples.
This article explains how Redis handles key expiration, the commands for setting TTL, the three expiration strategies, the eight eviction policies, and the internal LRU and LFU algorithms, including their implementation details, sampling techniques, and configuration parameters for memory management.
This article presents common Redis interview questions covering cache penetration, breakdown, and avalanche, explains RDB and AOF persistence mechanisms with configuration commands, and details memory‑size tuning, LRU/LFU/RANDOM eviction policies, plus a practical flushAll scenario.