PostgreSQLMetricredis.keyspace.misses
Number of failed lookups of keys in the main dictionarySummary
Cumulative counter of key lookup attempts where the requested key did not exist in Redis. High miss rates relative to hits indicate cache ineffectiveness — applications are requesting keys that were never stored or have been evicted. Spikes in misses may indicate cache warmup after restart, mass eviction events, or application bugs requesting non-existent keys. Monitor the miss rate (misses / (hits + misses)) as a key cache health indicator.
Related Insights (2)
High Redis memory fragmentation ratio (>1.5) causes actual memory usage to exceed redis.memory.maxmemory limits, triggering premature key evictions and reducing cache hit rates even when logical memory usage appears healthy.
When 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.