> For the complete documentation index, see [llms.txt](https://docs.kaisar.io/kaisar-network/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.kaisar.io/kaisar-network/kaisar-ai-ops/dashboard/dashboard.md).

# Dashboard

The Dashboard is your central hub for monitoring and managing all AI operations in Kaisar AI Ops.

## Overview

The dashboard provides a comprehensive view of:

* Recent experiments and their status
* Active deployments and health metrics
* System resource usage
* Quick access to common actions

![Dashboard Overview](https://3962875474-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F01Fyr0ujWr1ipjmUOTbr%2Fuploads%2Fgit-blob-c743951a45e6a5935334a0107ead12c25f1e0be8%2Fkaisar_dashboard_1764148113793.png?alt=media)

## Dashboard Components

### 1. Navigation Sidebar

Located on the left side, the sidebar provides access to:

* **Dashboard**: Main overview (current page)
* **Organization**: Team and access management
* **Deep Learning Platform**: Experiments, Models, Datasets
* **Deployments**: Production model deployments

### 2. Main Content Area

The central area displays:

* **Activity Feed**: Recent experiments, deployments, and updates
* **Status Cards**: Quick metrics and summaries
* **Charts and Graphs**: Visual representation of performance metrics

### 3. Top Bar

The top navigation bar includes:

* **Search**: Find experiments, models, datasets, or deployments
* **Notifications**: System alerts and updates
* **User Profile**: Access settings and logout

## Key Features

### Recent Activity

View your most recent:

* Experiment runs and their status (running, completed, failed)
* Model deployments and updates
* Dataset uploads and modifications
* Team member activities

### Quick Actions

Common tasks accessible from the dashboard:

* **Create Experiment**: Start a new ML training run
* **Deploy Model**: Push a model to production
* **Upload Dataset**: Add new training data
* **View Metrics**: Check system performance

### Metrics Overview

Monitor key performance indicators:

* **Active Experiments**: Number of currently running experiments
* **Total Models**: Registered models in your organization
* **Deployments**: Active production deployments
* **Resource Usage**: Compute and storage utilization

## Customization

### Filtering and Sorting

* Filter by date range, status, or owner
* Sort by creation time, name, or status
* Save custom views for quick access

### Widgets

Customize your dashboard by:

* Adding or removing metric widgets
* Rearranging layout
* Setting default views

## Navigation Tips

### Keyboard Shortcuts

* `Ctrl/Cmd + K`: Open search
* `Ctrl/Cmd + N`: Create new experiment
* `Ctrl/Cmd + D`: Go to dashboard

### Quick Search

Use the search bar to quickly find:

* Experiments by name or ID
* Models by version or tag
* Datasets by name
* Deployments by status

## Best Practices

1. **Check Daily**: Review your dashboard daily for updates and alerts
2. **Monitor Failures**: Address failed experiments or deployments promptly
3. **Track Resources**: Keep an eye on resource usage to avoid limits
4. **Stay Organized**: Use tags and naming conventions for easy filtering