style: format all files with prettier

This commit is contained in:
Seth Hobson
2026-01-19 17:07:03 -05:00
parent 8d37048deb
commit 56848874a2
355 changed files with 15215 additions and 10241 deletions

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@@ -22,6 +22,7 @@ Design effective Grafana dashboards for monitoring applications, infrastructure,
## Dashboard Design Principles
### 1. Hierarchy of Information
```
┌─────────────────────────────────────┐
│ Critical Metrics (Big Numbers) │
@@ -33,11 +34,13 @@ Design effective Grafana dashboards for monitoring applications, infrastructure,
```
### 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
@@ -63,7 +66,7 @@ Design effective Grafana dashboards for monitoring applications, infrastructure,
"legendFormat": "{{service}}"
}
],
"gridPos": {"x": 0, "y": 0, "w": 12, "h": 8}
"gridPos": { "x": 0, "y": 0, "w": 12, "h": 8 }
},
{
"title": "Error Rate %",
@@ -77,14 +80,14 @@ Design effective Grafana dashboards for monitoring applications, infrastructure,
"alert": {
"conditions": [
{
"evaluator": {"params": [5], "type": "gt"},
"operator": {"type": "and"},
"query": {"params": ["A", "5m", "now"]},
"evaluator": { "params": [5], "type": "gt" },
"operator": { "type": "and" },
"query": { "params": ["A", "5m", "now"] },
"type": "query"
}
]
},
"gridPos": {"x": 12, "y": 0, "w": 12, "h": 8}
"gridPos": { "x": 12, "y": 0, "w": 12, "h": 8 }
},
{
"title": "P95 Latency",
@@ -95,7 +98,7 @@ Design effective Grafana dashboards for monitoring applications, infrastructure,
"legendFormat": "{{service}}"
}
],
"gridPos": {"x": 0, "y": 8, "w": 24, "h": 8}
"gridPos": { "x": 0, "y": 8, "w": 24, "h": 8 }
}
]
}
@@ -107,13 +110,16 @@ Design effective Grafana dashboards for monitoring applications, infrastructure,
## Panel Types
### 1. Stat Panel (Single Value)
```json
{
"type": "stat",
"title": "Total Requests",
"targets": [{
"expr": "sum(http_requests_total)"
}],
"targets": [
{
"expr": "sum(http_requests_total)"
}
],
"options": {
"reduceOptions": {
"values": false,
@@ -128,9 +134,9 @@ Design effective Grafana dashboards for monitoring applications, infrastructure,
"thresholds": {
"mode": "absolute",
"steps": [
{"value": 0, "color": "green"},
{"value": 80, "color": "yellow"},
{"value": 90, "color": "red"}
{ "value": 0, "color": "green" },
{ "value": 80, "color": "yellow" },
{ "value": 90, "color": "red" }
]
}
}
@@ -139,35 +145,41 @@ Design effective Grafana dashboards for monitoring applications, infrastructure,
```
### 2. Time Series Graph
```json
{
"type": "graph",
"title": "CPU Usage",
"targets": [{
"expr": "100 - (avg by (instance) (rate(node_cpu_seconds_total{mode=\"idle\"}[5m])) * 100)"
}],
"targets": [
{
"expr": "100 - (avg by (instance) (rate(node_cpu_seconds_total{mode=\"idle\"}[5m])) * 100)"
}
],
"yaxes": [
{"format": "percent", "max": 100, "min": 0},
{"format": "short"}
{ "format": "percent", "max": 100, "min": 0 },
{ "format": "short" }
]
}
```
### 3. Table Panel
```json
{
"type": "table",
"title": "Service Status",
"targets": [{
"expr": "up",
"format": "table",
"instant": true
}],
"targets": [
{
"expr": "up",
"format": "table",
"instant": true
}
],
"transformations": [
{
"id": "organize",
"options": {
"excludeByName": {"Time": true},
"excludeByName": { "Time": true },
"indexByName": {},
"renameByName": {
"instance": "Instance",
@@ -181,14 +193,17 @@ Design effective Grafana dashboards for monitoring applications, infrastructure,
```
### 4. Heatmap
```json
{
"type": "heatmap",
"title": "Latency Heatmap",
"targets": [{
"expr": "sum(rate(http_request_duration_seconds_bucket[5m])) by (le)",
"format": "heatmap"
}],
"targets": [
{
"expr": "sum(rate(http_request_duration_seconds_bucket[5m])) by (le)",
"format": "heatmap"
}
],
"dataFormat": "tsbuckets",
"yAxis": {
"format": "s"
@@ -199,6 +214,7 @@ Design effective Grafana dashboards for monitoring applications, infrastructure,
## Variables
### Query Variables
```json
{
"templating": {
@@ -225,6 +241,7 @@ Design effective Grafana dashboards for monitoring applications, infrastructure,
```
### Use Variables in Queries
```
sum(rate(http_requests_total{namespace="$namespace", service=~"$service"}[5m]))
```
@@ -241,11 +258,11 @@ sum(rate(http_requests_total{namespace="$namespace", service=~"$service"}[5m]))
"params": [5],
"type": "gt"
},
"operator": {"type": "and"},
"operator": { "type": "and" },
"query": {
"params": ["A", "5m", "now"]
},
"reducer": {"type": "avg"},
"reducer": { "type": "avg" },
"type": "query"
}
],
@@ -254,9 +271,7 @@ sum(rate(http_requests_total{namespace="$namespace", service=~"$service"}[5m]))
"frequency": "1m",
"message": "Error rate is above 5%",
"noDataState": "no_data",
"notifications": [
{"uid": "slack-channel"}
]
"notifications": [{ "uid": "slack-channel" }]
}
}
```
@@ -264,13 +279,14 @@ sum(rate(http_requests_total{namespace="$namespace", service=~"$service"}[5m]))
## Dashboard Provisioning
**dashboards.yml:**
```yaml
apiVersion: 1
providers:
- name: 'default'
- name: "default"
orgId: 1
folder: 'General'
folder: "General"
type: file
disableDeletion: false
updateIntervalSeconds: 10
@@ -284,6 +300,7 @@ providers:
### Infrastructure Dashboard
**Key Panels:**
- CPU utilization per node
- Memory usage per node
- Disk I/O
@@ -296,6 +313,7 @@ providers:
### Database Dashboard
**Key Panels:**
- Queries per second
- Connection pool usage
- Query latency (P50, P95, P99)
@@ -309,6 +327,7 @@ providers:
### Application Dashboard
**Key Panels:**
- Request rate
- Error rate
- Response time (percentiles)