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Topic
Redis connection management, serialization, stampedes, outages, locks, sessions, pub/sub, memory pressure, and production failure behavior.
Practice items tagged with Redis Production.
Compares Redis pub/sub with durable queues when broadcasting cache invalidation or refresh events.
Explains hot-key behavior, traffic concentration, partition pressure, payload size, and mitigation options.
Explains Redis memory pressure, eviction policies, key sizing, TTL discipline, and what happens when the cache is full.
Explains how an API behaves when Redis is unavailable and which cache usages can safely fall back.
Explains delete-on-write, versioned keys, event-driven invalidation, and the race conditions around cache freshness.
Explains cache observability across hit rate, latency, source load, memory, evictions, stale data, and fallback behavior.