- name
- prometheus-configuration
- description
- 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.
# 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
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