How do you implement agentic AI for automated database connection pool optimization?
Database connection pool optimization agents tune pool configurations based on workload patterns and database capacity. Configure agents with access to database metrics, application performance data, and connection pool configurations. The agent monitors pool utilization including active connections, idle connections, wait times, and connection creation rates. Analyze workload patterns to determine optimal pool sizes for different time periods. Detect connection leaks through long-lived idle connection tracking. Implement dynamic pool sizing that adjusts capacity based on real-time demand. Generate optimization recommendations for minimum and maximum pool sizes, idle timeout settings, and connection validation intervals. Track pool efficiency metrics including wait time percentiles and connection utilization ratios. Alert on approaching pool exhaustion before application errors occur.