Creating monitoring dashboards
Building operational insights
Visualizing time-series data
Creating drill-down dashboards
Sharing metrics with stakeholders

Quick Start

Minimal working example:

{
  "dashboard": {
    "title": "Application Performance",
    "description": "Real-time application metrics",
    "tags": ["production", "performance"],
    "timezone": "UTC",
    "refresh": "30s",
    "templating": {
      "list": [
        {
          "name": "datasource",
          "type": "datasource",
          "datasource": "prometheus"
        },
        {
          "name": "service",
          "type": "query",
          "datasource": "prometheus",
          "query": "label_values(requests_total, service)"
        }
      ]
    },
    "panels": [
      {
        "id": 1,
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide	Contents
Grafana Dashboard JSON	Grafana Dashboard JSON
Grafana Provisioning Configuration	Grafana Provisioning Configuration
Grafana Alert Configuration	Grafana Alert Configuration
Grafana API Client	Grafana API Client
Docker Compose Setup	Docker Compose Setup

Best Practices

✅ DO

Use meaningful dashboard titles
Add documentation panels
Implement row-based organization
Use variables for flexibility
Set appropriate refresh intervals
Include runbook links in alerts
Test alerts before deploying
Use consistent color schemes
Version control dashboard JSON

❌ DON'T

Overload dashboards with too many panels
Mix different time ranges without justification
Create without runbooks
Ignore alert noise
Use inconsistent metric naming
Set refresh too frequently
Forget to configure datasources
Leave default passwords

grafana-dashboard

Grafana Dashboard

Table of Contents

Overview

When to Use