Dashboard Builder

---
name: dashboard-builder
description: "Use when building an operator monitoring dashboard in Grafana, SigNoz or similar, organized around health, latency, throughput and saturation questions. For business KPI dashboards use kpi-dashboard-design."
tags: ["devops","operations","observability","visualization"]
tools: []
license: MIT
source: https://github.com/affaan-m/ECC
source_path: "skills/dashboard-builder"
source_commit: bf70150eb2df8070024e5bdf08e4aa08959e2735
---
# Dashboard Builder

Use this when the task is to build a dashboard people can operate from.

The goal is not "show every metric." The goal is to answer:

- is it healthy?
- where is the bottleneck?
- what changed?
- what action should someone take?

## When to Use

- "Build a Kafka monitoring dashboard"
- "Create a Grafana dashboard for Elasticsearch"
- "Make a SigNoz dashboard for this service"
- "Turn this metrics list into a real operational dashboard"

## Guardrails

- do not start from visual layout; start from operator questions
- do not include every available metric just because it exists
- do not mix health, throughput, and resource panels without structure
- do not ship panels without titles, units, and sane thresholds

## Workflow

### 1. Define the operating questions

Organize around:

- health / availability
- latency / performance
- throughput / volume
- saturation / resources
- service-specific risk

### 2. Study the target platform schema

Inspect existing dashboards first:

- JSON structure
- query language
- variables
- threshold styling
- section layout

### 3. Build the minimum useful board

Recommended structure:

1. overview
2. performance
3. resources
4. service-specific section

### 4. Cut vanity panels

Every panel should answer a real question. If it does not, remove it.

## Example Panel Sets

### Elasticsearch

- cluster health
- shard allocation
- search latency
- indexing rate
- JVM heap / GC

### Kafka

- broker count
- under-replicated partitions
- messages in / out
- consumer lag
- disk and network pressure

### API gateway / ingress

- request rate
- p50 / p95 / p99 latency
- error rate
- upstream health
- active connections

## Quality Checklist

- [ ] valid dashboard JSON
- [ ] clear section grouping
- [ ] titles and units are present
- [ ] thresholds/status colors are meaningful
- [ ] variables exist for common filters
- [ ] default time range and refresh are sensible
- [ ] no vanity panels with no operator value

## Related Skills

- `research-ops`
- `backend-patterns`
- `terminal-ops`