Monitoring complex systems requires clear visualization of metrics. This skill helps you create production-ready Grafana dashboards that provide actionable insights into infrastructure and application performance.
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Verwendung von "grafana-dashboards". Create a stat panel showing total active connections
Erwartetes Ergebnis:
A Stat panel configuration with Prometheus query summing active connection metrics, color thresholds for normal/warning/critical states, and auto-refresh enabled
Verwendung von "grafana-dashboards". Build a heatmap for request latency distribution
Erwartetes Ergebnis:
A Heatmap panel with histogram buckets on the Y-axis, time on X-axis, and color intensity representing request frequency per latency bucket
Sicherheitsaudit
SicherStatic analysis produced false positives by misinterpreting markdown code block delimiters (```) as shell execution and configuration examples as suspicious patterns. The skill contains only documentation with JSON, YAML, and HCL examples for Grafana dashboard configuration. No actual code execution, network access, or filesystem operations are present.
Qualitätsbewertung
Was du bauen kannst
DevOps Engineer Building Monitoring Stack
Create comprehensive dashboards for a new Kubernetes cluster, implementing infrastructure monitoring with node metrics, pod status, and resource utilization panels.
SRE Implementing SLO Tracking
Build service reliability dashboards that visualize error budgets, availability metrics, and latency percentiles across microservices.
Developer Adding Application Observability
Design application-specific dashboards showing request rates, error rates, response times, and business KPIs for a new feature.
Probiere diese Prompts
Create a Grafana dashboard JSON configuration for monitoring a REST API with panels for request rate, error rate, and response time percentiles.
Generate a complete infrastructure dashboard using the USE method. Include panels for CPU utilization, memory usage, disk I/O, and network traffic for a Kubernetes cluster.
Add alert conditions to a dashboard panel that triggers when error rate exceeds 5% for 5 minutes, with Slack notification configuration.
Generate Terraform configuration to provision Grafana dashboards from JSON files stored in a Git repository, including folder organization and automated updates.
Bewährte Verfahren
- Organize panels hierarchically: critical metrics at top, trends in middle, detailed data at bottom
- Use dashboard variables for namespace, service, and environment to enable filtering without duplicating dashboards
- Set appropriate refresh intervals based on metric criticality - 30 seconds for production, 5 minutes for capacity planning
Vermeiden
- Avoid overcrowding dashboards - focus on actionable metrics, not data dumping
- Do not use raw metric queries without rate() or increase() functions for counters
- Never set alert thresholds without understanding baseline behavior and normal variance
Häufig gestellte Fragen
What data sources does this skill support?
Can this skill deploy dashboards to my Grafana instance?
How do I adapt these dashboards for my specific metrics?
What is the RED method mentioned in the skill?
How should I organize dashboards for a microservices architecture?
Can I use these examples with Grafana Cloud?
Entwicklerdetails
Autor
sickn33Lizenz
MIT
Repository
https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/grafana-dashboardsRef
main
Dateistruktur
đź“„ SKILL.md