Database Monitoring
Table of Contents
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