Grafana Dashboards

Build production-ready Grafana dashboards for comprehensive observability

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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.

grafana monitoring dashboards observability metrics prometheus visualization infrastructure

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User Prompt

Help me create a Grafana dashboard for monitoring our API service with request rate, error percentage, and P95 latency panels. Include alerting for error rates above 5%.

Skill Processing

Analyzing request...

Agent Response

Complete dashboard JSON with request rate graphs, error rate monitoring with alerts, and latency percentile visualization

Quick Start (3 Steps)

Get up and running in minutes

Install

claude-code skill install grafana-dashboards

claude-code skill install grafana-dashboards

Config

First Trigger

@grafana-dashboards help

Commands

Command	Description	Required Args
@grafana-dashboards api-service-monitoring	Create a comprehensive dashboard to monitor API service health using RED method (Rate, Errors, Duration)	None
@grafana-dashboards infrastructure-overview	Build a high-level infrastructure dashboard showing cluster health and resource utilization	None
@grafana-dashboards database-performance-dashboard	Design a database monitoring dashboard with key performance indicators and connection metrics	None

Typical Use Cases

API Service Monitoring

Create a comprehensive dashboard to monitor API service health using RED method (Rate, Errors, Duration)

Infrastructure Overview

Build a high-level infrastructure dashboard showing cluster health and resource utilization

Database Performance Dashboard

Design a database monitoring dashboard with key performance indicators and connection metrics

Overview

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

 1{
 2  "dashboard": {
 3    "title": "API Monitoring",
 4    "tags": ["api", "production"],
 5    "timezone": "browser",
 6    "refresh": "30s",
 7    "panels": [
 8      {
 9        "title": "Request Rate",
10        "type": "graph",
11        "targets": [
12          {
13            "expr": "sum(rate(http_requests_total[5m])) by (service)",
14            "legendFormat": "{{service}}"
15          }
16        ],
17        "gridPos": { "x": 0, "y": 0, "w": 12, "h": 8 }
18      },
19      {
20        "title": "Error Rate %",
21        "type": "graph",
22        "targets": [
23          {
24            "expr": "(sum(rate(http_requests_total{status=~\"5..\"}[5m])) / sum(rate(http_requests_total[5m]))) * 100",
25            "legendFormat": "Error Rate"
26          }
27        ],
28        "alert": {
29          "conditions": [
30            {
31              "evaluator": { "params": [5], "type": "gt" },
32              "operator": { "type": "and" },
33              "query": { "params": ["A", "5m", "now"] },
34              "type": "query"
35            }
36          ]
37        },
38        "gridPos": { "x": 12, "y": 0, "w": 12, "h": 8 }
39      },
40      {
41        "title": "P95 Latency",
42        "type": "graph",
43        "targets": [
44          {
45            "expr": "histogram_quantile(0.95, sum(rate(http_request_duration_seconds_bucket[5m])) by (le, service))",
46            "legendFormat": "{{service}}"
47          }
48        ],
49        "gridPos": { "x": 0, "y": 8, "w": 24, "h": 8 }
50      }
51    ]
52  }
53}

Reference: See assets/api-dashboard.json

Panel Types

1. Stat Panel (Single Value)

 1{
 2  "type": "stat",
 3  "title": "Total Requests",
 4  "targets": [
 5    {
 6      "expr": "sum(http_requests_total)"
 7    }
 8  ],
 9  "options": {
10    "reduceOptions": {
11      "values": false,
12      "calcs": ["lastNotNull"]
13    },
14    "orientation": "auto",
15    "textMode": "auto",
16    "colorMode": "value"
17  },
18  "fieldConfig": {
19    "defaults": {
20      "thresholds": {
21        "mode": "absolute",
22        "steps": [
23          { "value": 0, "color": "green" },
24          { "value": 80, "color": "yellow" },
25          { "value": 90, "color": "red" }
26        ]
27      }
28    }
29  }
30}

2. Time Series Graph

 1{
 2  "type": "graph",
 3  "title": "CPU Usage",
 4  "targets": [
 5    {
 6      "expr": "100 - (avg by (instance) (rate(node_cpu_seconds_total{mode=\"idle\"}[5m])) * 100)"
 7    }
 8  ],
 9  "yaxes": [
10    { "format": "percent", "max": 100, "min": 0 },
11    { "format": "short" }
12  ]
13}

3. Table Panel

 1{
 2  "type": "table",
 3  "title": "Service Status",
 4  "targets": [
 5    {
 6      "expr": "up",
 7      "format": "table",
 8      "instant": true
 9    }
10  ],
11  "transformations": [
12    {
13      "id": "organize",
14      "options": {
15        "excludeByName": { "Time": true },
16        "indexByName": {},
17        "renameByName": {
18          "instance": "Instance",
19          "job": "Service",
20          "Value": "Status"
21        }
22      }
23    }
24  ]
25}

4. Heatmap

 1{
 2  "type": "heatmap",
 3  "title": "Latency Heatmap",
 4  "targets": [
 5    {
 6      "expr": "sum(rate(http_request_duration_seconds_bucket[5m])) by (le)",
 7      "format": "heatmap"
 8    }
 9  ],
10  "dataFormat": "tsbuckets",
11  "yAxis": {
12    "format": "s"
13  }
14}

Variables

Query Variables

 1{
 2  "templating": {
 3    "list": [
 4      {
 5        "name": "namespace",
 6        "type": "query",
 7        "datasource": "Prometheus",
 8        "query": "label_values(kube_pod_info, namespace)",
 9        "refresh": 1,
10        "multi": false
11      },
12      {
13        "name": "service",
14        "type": "query",
15        "datasource": "Prometheus",
16        "query": "label_values(kube_service_info{namespace=\"$namespace\"}, service)",
17        "refresh": 1,
18        "multi": true
19      }
20    ]
21  }
22}

Use Variables in Queries

sum(rate(http_requests_total{namespace="$namespace", service=~"$service"}[5m]))

Alerts in Dashboards

 1{
 2  "alert": {
 3    "name": "High Error Rate",
 4    "conditions": [
 5      {
 6        "evaluator": {
 7          "params": [5],
 8          "type": "gt"
 9        },
10        "operator": { "type": "and" },
11        "query": {
12          "params": ["A", "5m", "now"]
13        },
14        "reducer": { "type": "avg" },
15        "type": "query"
16      }
17    ],
18    "executionErrorState": "alerting",
19    "for": "5m",
20    "frequency": "1m",
21    "message": "Error rate is above 5%",
22    "noDataState": "no_data",
23    "notifications": [{ "uid": "slack-channel" }]
24  }
25}

Dashboard Provisioning

dashboards.yml:

 1apiVersion: 1
 2
 3providers:
 4  - name: "default"
 5    orgId: 1
 6    folder: "General"
 7    type: file
 8    disableDeletion: false
 9    updateIntervalSeconds: 10
10    allowUiUpdates: true
11    options:
12      path: /etc/grafana/dashboards

Common Dashboard Patterns

Infrastructure Dashboard

Key Panels:

CPU utilization per node
Memory usage per node
Disk I/O
Network traffic
Pod count by namespace
Node status

Reference: See assets/infrastructure-dashboard.json

Database Dashboard

Key Panels:

Queries per second
Connection pool usage
Query latency (P50, P95, P99)
Active connections
Database size
Replication lag
Slow queries

Reference: See assets/database-dashboard.json

Application Dashboard

Key Panels:

Request rate
Error rate
Response time (percentiles)
Active users/sessions
Cache hit rate
Queue length

Best Practices

Start with templates (Grafana community dashboards)
Use consistent naming for panels and variables
Group related metrics in rows
Set appropriate time ranges (default: Last 6 hours)
Use variables for flexibility
Add panel descriptions for context
Configure units correctly
Set meaningful thresholds for colors
Use consistent colors across dashboards
Test with different time ranges

Dashboard as Code

Terraform Provisioning

1resource "grafana_dashboard" "api_monitoring" {
2  config_json = file("${path.module}/dashboards/api-monitoring.json")
3  folder      = grafana_folder.monitoring.id
4}
5
6resource "grafana_folder" "monitoring" {
7  title = "Production Monitoring"
8}

Ansible Provisioning

1- name: Deploy Grafana dashboards
2  copy:
3    src: "{{ item }}"
4    dest: /etc/grafana/dashboards/
5  with_fileglob:
6    - "dashboards/*.json"
7  notify: restart grafana

Reference Files

assets/api-dashboard.json - API monitoring dashboard
assets/infrastructure-dashboard.json - Infrastructure dashboard
assets/database-dashboard.json - Database monitoring dashboard
references/dashboard-design.md - Dashboard design guide

prometheus-configuration - For metric collection
slo-implementation - For SLO dashboards

What Users Are Saying

Real feedback from the community

Environment Matrix

Dependencies

Grafana 8.0+

Prometheus (for metrics)

Valid data source connection

Framework Support

Prometheus ✓ (recommended) InfluxDB ✓ Elasticsearch ✓ MySQL ✓ PostgreSQL ✓

Grafana Dashboards

See It In Action

AI Conversation Simulator

Quick Start (3 Steps)

Install

Config

First Trigger

Commands

Typical Use Cases

API Service Monitoring

Infrastructure Overview

Database Performance Dashboard

Overview

Grafana Dashboards

Purpose

When to Use

Dashboard Design Principles

1. Hierarchy of Information

2. RED Method (Services)

3. USE Method (Resources)

Dashboard Structure

API Monitoring Dashboard

Panel Types

1. Stat Panel (Single Value)

2. Time Series Graph

3. Table Panel

4. Heatmap

Variables

Query Variables

Use Variables in Queries

Alerts in Dashboards

Dashboard Provisioning

Common Dashboard Patterns

Infrastructure Dashboard

Database Dashboard

Application Dashboard

Best Practices

Dashboard as Code

Terraform Provisioning

Ansible Provisioning

Reference Files

Related Skills

What Users Are Saying

Environment Matrix

Dependencies

Framework Support

Context Window

Security & Privacy

Information

Related Skills

Grafana Dashboards

Error Tracking

Error Tracking