High Eviction Rate Indicates Memory Pressure
warningWhen redis.keys.evicted rate increases significantly, Redis is evicting keys to stay within maxmemory limits, potentially causing cache miss storms and degraded application performance as hot data is prematurely evicted.
Monitor redis.keys.evicted rate increasing over baseline. When redis.memory.used approaches redis.memory.maxmemory (>90%), evictions accelerate. Correlate with declining cache hit rate (redis.keyspace.hits / (hits + misses)) and increasing redis.keyspace.misses.
Review maxmemory-policy configuration - ensure it matches workload (volatile-lru, allkeys-lru, etc.). Increase maxmemory if physical memory allows. Analyze key TTLs to ensure appropriate expiration. Consider sharding data across multiple Redis instances if single-instance memory limits are reached. Monitor redis.keys.expired to distinguish evictions from natural expirations.