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Database Monitoring Table of Contents Overview When to Use Quick Start Reference Guides Best Practices Overview Implement comprehensive database monitoring for performance analysis, health checks, and proactive alerting. Covers metrics collection, analysis, and troubleshooting strategies. When to Use Performance baseline establishment Real-time health monitoring Capacity planning Query performance analysis Resource utilization tracking Alerting rule configuration Incident response and troubleshooting Quick Start Minimal working example: -- View current connections SELECT pid, usename, application_name, client_addr, state, query_start, state_change FROM pg_stat_activity WHERE state != 'idle' ORDER BY query_start DESC; -- Count connections per database SELECT datname, COUNT(*) as connection_count, MAX(EXTRACT(EPOCH FROM (NOW() - query_start))) as max_query_duration_sec FROM pg_stat_activity GROUP BY datname; -- Find idle transactions SELECT pid, usename, // ... (see reference guides for full implementation) Reference Guides Detailed implementations in the references/ directory: Guide Contents Connection Monitoring Connection Monitoring Query Performance Monitoring Query Performance Monitoring Table & Index Monitoring Table & Index Monitoring Performance Schema Performance Schema InnoDB Monitoring InnoDB Monitoring PostgreSQL Monitoring Setup PostgreSQL Monitoring Setup Automated Monitoring Dashboard Automated Monitoring Dashboard Best Practices ✅ DO Follow established patterns and conventions Write clean, maintainable code Add appropriate documentation Test thoroughly before deploying ❌ DON'T Skip testing or validation Ignore error handling Hard-code configuration values 1d:[
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