What problem does it solve? Redis deployments often fail silently until latency spikes or memory pressure causes outages. This Skill tells you exactly which Redis metrics to monitor, which built-in commands to run during incident triage, and when to use Redis Insight, so you can catch issues before they impact users. ## Core Features & Use Cases - Metric Monitoring Guidance: Identifies the key INFO metrics to export (used_memory, connected_clients, hit ratio, ops/sec, rejected_connections) with concrete alert thresholds. - Incident Triage Commands: Covers SLOWLOG, INFO, MEMORY DOCTOR, CLIENT LIST, and FT.PROFILE for diagnosing slow queries, memory pressure, and connection storms. - Use Case: Your Redis-backed API suddenly shows high latency. Use this Skill to pull SLOWLOG entries, check MEMORY DOCTOR output, and compute the cache hit ratio to pinpoint whether the cause is slow queries, memory pressure, or cache misses. ## Quick Start Ask the AI to help you set up monitoring alerts for your Redis instance and show which commands to run when latency spikes.