grafana-dashboards

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Create and manage production-ready Grafana dashboards for comprehensive system observability.

AI & Automation 27,681 stars 2854 forks Updated today MIT

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Skill Content

# Grafana Dashboards Create and manage production-ready Grafana dashboards for comprehensive system observability. ## Do not use this skill when - The task is unrelated to grafana dashboards - You need a different domain or tool outside this scope ## Instructions - Clarify goals, constraints, and required inputs. - Apply relevant best practices and validate outcomes. - Provide actionable steps and verification. - If detailed examples are required, open `resources/implementation-playbook.md`. ## Purpose Design effective Grafana dashboards for monitoring applications, infrastructure, and business metrics. ## Use this skill when - 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 ...

Details

Author
davila7
Repository
davila7/claude-code-templates
Created
11 months ago
Last Updated
today
Language
Python
License
MIT

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