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