How do you implement agentic AI for automated Redis cluster optimization?
Redis cluster optimization agents tune Redis configurations for optimal performance and resource utilization. Configure agents with access to Redis cluster metrics, application query patterns, and memory analysis tools. The agent monitors key metrics including memory usage, hit rates, eviction rates, replication lag, and command latency. Implement memory optimization by identifying oversized keys, inefficient data structures, and unused keys consuming memory. Recommend data structure changes that improve memory efficiency for specific access patterns. Optimize eviction policies based on actual key access patterns. Tune connection pool settings and persistence configurations based on workload characteristics. Generate cluster health reports with specific optimization recommendations and projected improvements. Track optimization impact through before and after performance comparisons.