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prometheus-configuration

wshobson/agents
10.3K installs 39.9K GitHub stars
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Configure Prometheus metric collection, storage, monitoring, and alerts.
Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.

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The full skill.

Original instructions from the publisher’s SKILL.md

# Prometheus Configuration

Complete guide to Prometheus setup, metric collection, scrape configuration, and recording rules.

## Purpose

Configure Prometheus for comprehensive metric collection, alerting, and monitoring of infrastructure and applications.

## When to Use

- Set up Prometheus monitoring
- Configure metric scraping
- Create recording rules
- Design alert rules
- Implement service discovery

## Detailed patterns and worked examples

Detailed pattern documentation lives in `references/details.md`. Read that file when the navigation tier above is insufficient.

## Best Practices

1. **Use consistent naming** for metrics (prefix_name_unit)
2. **Set appropriate scrape intervals** (15-60s typical)
3. **Use recording rules** for expensive queries
4. **Implement high availability** (multiple Prometheus instances)
5. **Configure retention** based on storage capacity
6. **Use relabeling** for metric cleanup
7. **Monitor Prometheus itself**
8. **Implement federation** for large deployments
9. **Use Thanos/Cortex** for long-term storage
10. **Document custom metrics**

## Troubleshooting

**Check scrape targets:**

```bash
curl http://localhost:9090/api/v1/targets
```

**Check configuration:**

```bash
curl http://localhost:9090/api/v1/status/config
```

**Test query:**

```bash
curl 'http://localhost:9090/api/v1/query?query=up'
```


## Related Skills

- `grafana-dashboards` - For visualization
- `slo-implementation` - For SLO monitoring
- `distributed-tracing` - For request tracing

Skill folder

Files included alongside SKILL.md in the publisher’s repository.