
Solid Prometheus setup guide that covers the essentials without getting lost in the weeds. Handles scrape configs for static targets, Kubernetes service discovery, and file-based discovery, plus generates useful recording rules for request rates and error percentages. The alert rules are practical, covering service downtime, error rates, and resource utilization with sensible thresholds. Docker Compose and Helm charts are included for quick deployment. What I like is the clear architecture diagram and real-world relabeling configs that actually work in production environments.
$ npx -y skills add wshobson/agents --skill prometheus-configuration --agent claude-codeInstalls into .claude/skills of the current project.
Complete guide to Prometheus setup, metric collection, scrape configuration, and recording rules.
Configure Prometheus for comprehensive metric collection, alerting, and monitoring of infrastructure and applications.
Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.
Check scrape targets:
curl http://localhost:9090/api/v1/targets
Check configuration:
curl http://localhost:9090/api/v1/status/config
Test query:
curl 'http://localhost:9090/api/v1/query?query=up'
grafana-dashboards - For visualizationslo-implementation - For SLO monitoringdistributed-tracing - For request tracingSponsors