Infrastructure Monitoring
SkillMonitoring & opsSet up comprehensive infrastructure monitoring with Prometheus, Grafana, and alerting systems for metrics, health checks, and performance tracking.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Infrastructure Monitoring skill
What this skill tells your AI
The instructions your AI receives, as published by aj-geddes/useful-ai-prompts in skills/infrastructure-monitoring/SKILL.md and read by ahel’s review.
Table of Contents
- Overview
- When to Use
- Quick Start
- Reference Guides
- Best Practices
Overview
Implement comprehensive infrastructure monitoring to track system health, performance metrics, and resource utilization with alerting and visualization across your entire stack.
When to Use
- Real-time performance monitoring
- Capacity planning and trends
- Incident detection and alerting
- Service health tracking
- Resource utilization analysis
- Performance troubleshooting
- Compliance and audit trails
- Historical data analysis
Quick Start
Minimal working example:
# prometheus.yml
global:
scrape_interval: 15s
evaluation_interval: 15s
external_labels:
monitor: "infrastructure-monitor"
environment: "production"
# Alertmanager configuration
alerting:
alertmanagers:
- static_configs:
- targets:
- localhost:9093
# Rule files
rule_files:
- "alerts.yml"
- "rules.yml"
scrape_configs:
# Prometheus itself
- job_name: "prometheus"
static_configs:
- targets: ["localhost:9090"]
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Prometheus Configuration | Prometheus Configuration |
| Alert Rules | Alert Rules |
| Alertmanager Configuration | Alertmanager Configuration |
| Grafana Dashboard | Grafana Dashboard |
| Monitoring Deployment | Monitoring Deployment |
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
Signals
- GitHub stars
- 336
- Forks
- 55
- Last commit
- Mar 2026
Advanced
- Catalog kind
- skill
- Gateway key
infrastructure-monitoring- Source
- github.com/aj-geddes/useful-ai-prompts