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Documentation Index

Fetch the complete documentation index at: https://arivu.mintlify.app/llms.txt

Use this file to discover all available pages before exploring further.

Dashboard Overview

What is a Dashboard?

Dashboards in Arivu are customizable, real-time analytical interfaces that display data from your queries, automations, and integrations in an organized, visual format. They enable you to monitor key metrics, trends, and system performance at a glance.

Real-time Updates

Watch your data refresh automatically as new results come in.

Customizable Layout

Drag, drop, and arrange widgets to match your workflow.

Multi-Source Data

Combine data from multiple databases and LLMs in one view.

Collaborative

Share dashboards with your team and track key metrics together.

Dashboard Features

Widget System

Create widgets from saved queries and visualizations. Each widget displays live data with configurable refresh intervals.

Pin to Dashboard

Mark important automations or queries to appear on your main dashboard for quick access and monitoring.

Interactive Visualizations

Display data as tables, charts, gauges, and custom components for comprehensive insights.

Dashboard Variables

Use filters and variables to customize dashboard views without requiring query modifications.

Creating Your First Dashboard

1

Open Dashboards

Navigate to the Dashboards section from the main menu
2

Create New Dashboard

Click “Create Dashboard” and give it a descriptive name
3

Add Widgets

Click “Add Widget” and select from your saved queries or automations
4

Customize Layout

Drag widgets to arrange them in your preferred layout
5

Set Refresh Rate

Configure how often each widget updates its data
6

Save

Save your dashboard configuration
Pro tip: Create multiple dashboards for different personas or business areas (e.g., Operations Dashboard, Sales Dashboard, Infrastructure Monitoring).

Dashboard Best Practices

Organization

  • Group related metrics together for easier scanning
  • Use consistent naming conventions for clarity
  • Arrange by priority (most important metrics at the top)

Performance

  • Limit heavy queries to lower refresh rates (every 5+ minutes)
  • Use aggregated data rather than raw datasets
  • Archive old dashboards to keep the interface clean

Accessibility

  • Choose contrasting colors for charts
  • Label all axes and metrics clearly
  • Add descriptions to complex visualizations

Next Steps