grafana-dashboards

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Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.

AI & Automation 36,166 stars 3920 forks Updated yesterday MIT

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Skill Content

# Grafana Dashboards Create and manage production-ready Grafana dashboards for comprehensive system observability. ## Purpose Design effective Grafana dashboards for monitoring applications, infrastructure, and business metrics. ## When to Use - Visualize Prometheus metrics - Create custom dashboards - Implement SLO dashboards - Monitor infrastructure - Track business KPIs ## Dashboard Design Principles ### 1. Hierarchy of Information ``` ┌─────────────────────────────────────┐ │ Critical Metrics (Big Numbers) │ ├─────────────────────────────────────┤ │ Key Trends (Time Series) │ ├─────────────────────────────────────┤ │ Detailed Metrics (Tables/Heatmaps) │ └─────────────────────────────────────┘ ``` ### 2. RED Method (Services) - **Rate** - Requests per second - **Errors** - Error rate - **Duration** - Latency/response time ### 3. USE Method (Resources) - **Utilization** - % time resource is busy - **Saturation** - Queue length/wait time - **Errors** - Error count ## Dashboard Structure ### API Monitoring Dashboard ```json { "dashboard": { "title": "API Monitoring", "tags": ["api", "production"], "timezone": "browser", "refresh": "30s", "panels": [ { "title": "Request Rate", "type": "graph", "targets": [ { "expr": "sum(rate(http_requests_total[5m])) by (service)", "legendFormat": "{{service}}" } ], "gridPos": { "x": 0, "y": 0, "w": 1...

Details

Author
wshobson
Repository
wshobson/agents
Created
10 months ago
Last Updated
yesterday
Language
Python
License
MIT

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