> ## Documentation Index
> Fetch the complete documentation index at: https://docs.budecosystem.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Quick Start

> Start using Dashboard in minutes to monitor health, performance, and model quality

Use this guide to run a first-pass health review using the Dashboard module.

```mermaid theme={null}
graph LR
    A[Open Dashboard] --> B[Review Summary Cards]
    B --> C[Set Time Filters]
    C --> D[Inspect Performance Charts]
    D --> E[Check Accuracy and Tokens]
    E --> F[Decide Next Actions]
```

## Step 1: Open Dashboard

1. Sign in to Bud Admin.
2. Select **Dashboard** from the left navigation.
3. Confirm the landing view shows summary cards and chart panels.

<img src="https://mintcdn.com/budecosystem-b7b14df4/5sEh-OGqCy8wOet3/images/image-51.png?fit=max&auto=format&n=5sEh-OGqCy8wOet3&q=85&s=c7ab9db6a36a50e9a14dc7823524f704" alt="Image" width="1920" height="2248" data-path="images/image-51.png" />

## Step 2: Read the Top Summary Area

1. Check **Total Requests** for recent load and trend direction.
2. Check **Models** for total plus cloud/local distribution.
3. Review **Endpoints**, **Clusters**, and **Projects** cards for readiness posture.

<Tip>
  If requests are rising while running endpoints are flat, prioritize capacity checks first.
</Tip>

## Step 3: Set Chart Time Windows

For each chart, pick one of:

* **LAST 24 HRS** for near-real-time anomaly checks
* **LAST 7 DAYS** for weekly trend analysis
* **LAST 30 DAYS** for capacity and planning patterns

## Step 4: Review Core Performance Charts

1. **API Calls**: identify top projects by volume.
2. **Latency**: look for regressions that may affect UX.
3. **Throughput**: verify processing efficiency at current load.

## Step 5: Review Quality and Cost Signals

1. **Model Usage**: identify the top five active models.
2. **Accuracy**: compare benchmark performance across those models.
3. **Token Metrics**: compare input vs. output token patterns.

## Step 6: Convert Signals into Actions

Typical follow-ups include:

* Scale or rebalance overloaded deployments.
* Investigate outlier projects in Observability.
* Re-evaluate low-accuracy high-usage models.
* Review token-heavy workloads for prompt optimization.

## Next Steps

<CardGroup cols={2}>
  <Card title="Dashboard Concepts" icon="book" href="/dashboard/dashboard-concepts">
    Learn how metrics and deltas are interpreted
  </Card>

  <Card title="Guides" icon="compass" href="/dashboard/guides/operational-monitoring">
    Apply dashboard data in production operations
  </Card>

  <Card title="Troubleshooting" icon="wrench" href="/dashboard/troubleshooting">
    Resolve common dashboard issues quickly
  </Card>
</CardGroup>