prometheus-configuration
Configure Prometheus monitoring
Prometheus setup is complex and easy to misconfigure. This skill provides clear examples for scraping, rules, and validation to help you implement robust monitoring.
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Using "prometheus-configuration". Create alert rules for high CPU and low disk space.
Expected outcome:
- High CPU alert fires after 5 minutes above 80 percent usage.
- Low disk alert fires after 5 minutes above 90 percent usage.
- Each alert includes severity labels and a short summary.
Using "prometheus-configuration". Show me how to configure Prometheus with Docker Compose.
Expected outcome:
- Docker Compose file mounts prometheus.yml config file.
- Data persists in named volume for storage retention.
- Prometheus runs on port 9090 with 30 day retention.
Using "prometheus-configuration". How do I set up recording rules for HTTP metrics?
Expected outcome:
- Request rate rule sums rate of http_requests_total over 5 minutes.
- Error rate rule filters 5xx status codes.
- P95 latency uses histogram_quantile for percentile calculation.
Security Audit
Low RiskThis is a documentation-only skill containing YAML configuration examples for Prometheus. No executable code, scripts, or malicious network behavior is present. Static findings are false positives caused by pattern-matching on documentation text rather than actual code analysis.
Risk Factors
🌐 Network access (6)
⚙️ External commands (38)
Quality Score
What You Can Build
Bootstrap monitoring stack
Deploy Prometheus with Helm and apply a baseline configuration for a new cluster.
Define alert coverage
Draft alert rules for availability, latency, and resource usage with clear labels.
Expose application metrics
Add a scrape job for application endpoints with TLS settings and labels.
Try These Prompts
Provide a simple prometheus.yml with one scrape job for my app and explain the key fields.
Create recording rules for request rate, error rate, and p95 latency with clear metric names.
Draft alert rules for service down, high error rate, and high latency with labels and annotations.
Show a scrape_config for Kubernetes pods using prometheus.io annotations and relabeling.
Best Practices
- Validate configs and rules with promtool before deployment
- Set scrape intervals that match system load and retention needs
- Use recording rules for expensive PromQL queries to improve performance
Avoid
- Scraping too frequently without proper storage planning
- Using alerts without clear labels and annotations
- Skipping recording rules for complex dashboard queries