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Skills · Infrastructure & ops

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.

Originally by wshobson · MIT

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npx agentalley add 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.

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grafana-dashboards/SKILL.md383 lines8.0 KBRawView on GitHub
Frontmatter — 2 properties
namegrafana-dashboards
descriptionCreate 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.
1---
2name: grafana-dashboards
3description: 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.
4---A5 — No allowed-tools declared — no way to tell what this skill may touch
5 
6# Grafana Dashboards
7 
8Create and manage production-ready Grafana dashboards for comprehensive system observability.
9 
10## Purpose
11 
12Design effective Grafana dashboards for monitoring applications, infrastructure, and business metrics.
13 
14## When to Use
15 
16- Visualize Prometheus metrics
17- Create custom dashboards
18- Implement SLO dashboards
19- Monitor infrastructure
20- Track business KPIs
21 
22## Dashboard Design Principles
23 
24### 1. Hierarchy of Information
25 
26```
27┌─────────────────────────────────────┐
28│ Critical Metrics (Big Numbers) │
29├─────────────────────────────────────┤
30│ Key Trends (Time Series) │
31├─────────────────────────────────────┤
32│ Detailed Metrics (Tables/Heatmaps) │
33└─────────────────────────────────────┘
34```
35 
36### 2. RED Method (Services)
37 
38- **Rate** - Requests per second
39- **Errors** - Error rate
40- **Duration** - Latency/response time
41 
42### 3. USE Method (Resources)
43 
44- **Utilization** - % time resource is busy
45- **Saturation** - Queue length/wait time
46- **Errors** - Error count
47 
48## Dashboard Structure
49 
50### API Monitoring Dashboard
51 
52```json
53{
54 "dashboard": {
55 "title": "API Monitoring",
56 "tags": ["api", "production"],
57 "timezone": "browser",
58 "refresh": "30s",
59 "panels": [
60 {
61 "title": "Request Rate",
62 "type": "graph",
63 "targets": [
64 {
65 "expr": "sum(rate(http_requests_total[5m])) by (service)",
66 "legendFormat": "{{service}}"
67 }
68 ],
69 "gridPos": { "x": 0, "y": 0, "w": 12, "h": 8 }
70 },
71 {
72 "title": "Error Rate %",
73 "type": "graph",
74 "targets": [
75 {
76 "expr": "(sum(rate(http_requests_total{status=~\"5..\"}[5m])) / sum(rate(http_requests_total[5m]))) * 100",
77 "legendFormat": "Error Rate"
78 }
79 ],
80 "alert": {
81 "conditions": [
82 {
83 "evaluator": { "params": [5], "type": "gt" },
84 "operator": { "type": "and" },
85 "query": { "params": ["A", "5m", "now"] },
86 "type": "query"
87 }
88 ]
89 },
90 "gridPos": { "x": 12, "y": 0, "w": 12, "h": 8 }
91 },
92 {
93 "title": "P95 Latency",
94 "type": "graph",
95 "targets": [
96 {
97 "expr": "histogram_quantile(0.95, sum(rate(http_request_duration_seconds_bucket[5m])) by (le, service))",
98 "legendFormat": "{{service}}"
99 }
100 ],
101 "gridPos": { "x": 0, "y": 8, "w": 24, "h": 8 }
102 }
103 ]
104 }
105}
106```
107 
108**Reference:** See `assets/api-dashboard.json`
109 
110## Panel Types
111 
112### 1. Stat Panel (Single Value)
113 
114```json
115{
116 "type": "stat",
117 "title": "Total Requests",
118 "targets": [
119 {
120 "expr": "sum(http_requests_total)"
121 }
122 ],
123 "options": {
124 "reduceOptions": {
125 "values": false,
126 "calcs": ["lastNotNull"]
127 },
128 "orientation": "auto",
129 "textMode": "auto",
130 "colorMode": "value"
131 },
132 "fieldConfig": {
133 "defaults": {
134 "thresholds": {
135 "mode": "absolute",
136 "steps": [
137 { "value": 0, "color": "green" },
138 { "value": 80, "color": "yellow" },
139 { "value": 90, "color": "red" }
140 ]
141 }
142 }
143 }
144}
145```
146 
147### 2. Time Series Graph
148 
149```json
150{
151 "type": "graph",
152 "title": "CPU Usage",
153 "targets": [
154 {
155 "expr": "100 - (avg by (instance) (rate(node_cpu_seconds_total{mode=\"idle\"}[5m])) * 100)"
156 }
157 ],
158 "yaxes": [
159 { "format": "percent", "max": 100, "min": 0 },
160 { "format": "short" }
161 ]
162}
163```
164 
165### 3. Table Panel
166 
167```json
168{
169 "type": "table",
170 "title": "Service Status",
171 "targets": [
172 {
173 "expr": "up",
174 "format": "table",
175 "instant": true
176 }
177 ],
178 "transformations": [
179 {
180 "id": "organize",
181 "options": {
182 "excludeByName": { "Time": true },
183 "indexByName": {},
184 "renameByName": {
185 "instance": "Instance",
186 "job": "Service",
187 "Value": "Status"
188 }
189 }
190 }
191 ]
192}
193```
194 
195### 4. Heatmap
196 
197```json
198{
199 "type": "heatmap",
200 "title": "Latency Heatmap",
201 "targets": [
202 {
203 "expr": "sum(rate(http_request_duration_seconds_bucket[5m])) by (le)",
204 "format": "heatmap"
205 }
206 ],
207 "dataFormat": "tsbuckets",
208 "yAxis": {
209 "format": "s"
210 }
211}
212```
213 
214## Variables
215 
216### Query Variables
217 
218```json
219{
220 "templating": {
221 "list": [
222 {
223 "name": "namespace",
224 "type": "query",
225 "datasource": "Prometheus",
226 "query": "label_values(kube_pod_info, namespace)",
227 "refresh": 1,
228 "multi": false
229 },
230 {
231 "name": "service",
232 "type": "query",
233 "datasource": "Prometheus",
234 "query": "label_values(kube_service_info{namespace=\"$namespace\"}, service)",
235 "refresh": 1,
236 "multi": true
237 }
238 ]
239 }
240}
241```
242 
243### Use Variables in Queries
244 
245```
246sum(rate(http_requests_total{namespace="$namespace", service=~"$service"}[5m]))
247```
248 
249## Alerts in Dashboards
250 
251```json
252{
253 "alert": {
254 "name": "High Error Rate",
255 "conditions": [
256 {
257 "evaluator": {
258 "params": [5],
259 "type": "gt"
260 },
261 "operator": { "type": "and" },
262 "query": {
263 "params": ["A", "5m", "now"]
264 },
265 "reducer": { "type": "avg" },
266 "type": "query"
267 }
268 ],
269 "executionErrorState": "alerting",
270 "for": "5m",
271 "frequency": "1m",
272 "message": "Error rate is above 5%",
273 "noDataState": "no_data",
274 "notifications": [{ "uid": "slack-channel" }]
275 }
276}
277```
278 
279## Dashboard Provisioning
280 
281**dashboards.yml:**
282 
283```yaml
284apiVersion: 1
285 
286providers:
287 - name: "default"
288 orgId: 1
289 folder: "General"
290 type: file
291 disableDeletion: false
292 updateIntervalSeconds: 10
293 allowUiUpdates: true
294 options:
295 path: /etc/grafana/dashboards
296```
297 
298## Common Dashboard Patterns
299 
300### Infrastructure Dashboard
301 
302**Key Panels:**
303 
304- CPU utilization per node
305- Memory usage per node
306- Disk I/O
307- Network traffic
308- Pod count by namespace
309- Node status
310 
311**Reference:** See `assets/infrastructure-dashboard.json`
312 
313### Database Dashboard
314 
315**Key Panels:**
316 
317- Queries per second
318- Connection pool usage
319- Query latency (P50, P95, P99)
320- Active connections
321- Database size
322- Replication lag
323- Slow queries
324 
325**Reference:** See `assets/database-dashboard.json`
326 
327### Application Dashboard
328 
329**Key Panels:**
330 
331- Request rate
332- Error rate
333- Response time (percentiles)
334- Active users/sessions
335- Cache hit rate
336- Queue length
337 
338## Best Practices
339 
3401. **Start with templates** (Grafana community dashboards)
3412. **Use consistent naming** for panels and variables
3423. **Group related metrics** in rows
3434. **Set appropriate time ranges** (default: Last 6 hours)
3445. **Use variables** for flexibility
3456. **Add panel descriptions** for context
3467. **Configure units** correctly
3478. **Set meaningful thresholds** for colors
3489. **Use consistent colors** across dashboards
34910. **Test with different time ranges**
350 
351## Dashboard as Code
352 
353### Terraform Provisioning
354 
355```hcl
356resource "grafana_dashboard" "api_monitoring" {
357 config_json = file("${path.module}/dashboards/api-monitoring.json")
358 folder = grafana_folder.monitoring.id
359}
360 
361resource "grafana_folder" "monitoring" {
362 title = "Production Monitoring"
363}
364```
365 
366### Ansible Provisioning
367 
368```yaml
369- name: Deploy Grafana dashboards
370 copy:
371 src: "{{ item }}"
372 dest: /etc/grafana/dashboards/
373 with_fileglob:
374 - "dashboards/*.json"
375 notify: restart grafana
376```
377 
378 
379## Related Skills
380 
381- `prometheus-configuration` - For metric collection
382- `slo-implementation` - For SLO dashboards
383 

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