---
name: database-monitoring
description: >
  Monitor database performance and health. Use when setting up monitoring,
  analyzing metrics, or troubleshooting database issues.
---

# Database Monitoring

## Table of Contents

- [Overview](#overview)
- [When to Use](#when-to-use)
- [Quick Start](#quick-start)
- [Reference Guides](#reference-guides)
- [Best Practices](#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:

```sql
-- 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](references/connection-monitoring.md) | Connection Monitoring |
| [Query Performance Monitoring](references/query-performance-monitoring.md) | Query Performance Monitoring |
| [Table & Index Monitoring](references/table-index-monitoring.md) | Table & Index Monitoring |
| [Performance Schema](references/performance-schema.md) | Performance Schema |
| [InnoDB Monitoring](references/innodb-monitoring.md) | InnoDB Monitoring |
| [PostgreSQL Monitoring Setup](references/postgresql-monitoring-setup.md) | PostgreSQL Monitoring Setup |
| [Automated Monitoring Dashboard](references/automated-monitoring-dashboard.md) | 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


---
Source attribution: aj-geddes
Original project: https://github.com/aj-geddes/useful-ai-prompts/blob/3f5182cfd739fc113f4af5244a1cf342ad7f7911/skills/database-monitoring/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 AJ Geddes

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.


# Mega AI Hub resource metadata

Creator / publisher: aj-geddes
Original project: https://github.com/aj-geddes/useful-ai-prompts/blob/3f5182cfd739fc113f4af5244a1cf342ad7f7911/skills/database-monitoring/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Development & Engineering
Roles: Backend Developer, Data Analyst, Data Engineer, Database Administrator, QA / Test Engineer
Specialties: Cross Platform, Database
Tools: MongoDB, MySQL, PostgreSQL, Redis, SQLite
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: ceaa9fc05f12b6952cdb38c00f98cfd4a973ac8d9fd7692db3deb0f5657f4f58