Dashboard Overview
Dashboards provide visual access to the operational and analytical data managed by XAUTOMATA.
Each dashboard is composed of multiple widgets, arranged in a configurable layout.
Widgets retrieve data from the platform and display it using charts, tables, grids, or custom visual components.
Dashboard Structure
A dashboard is made up of:
- a name and description
- a scope and type
- a refresh interval
- a set of widget associations
Each widget in the dashboard has its own:
- position
- size
- order
- settings
This allows dashboards to be configured to match different operational needs.
Dashboard Types
Dashboards can be defined with different types.
The platform distinguishes between:
- Global dashboards, designed to be reused across multiple users or operational contexts.
- Personal dashboards, associated with a specific user.
This distinction allows the platform to support both standardized monitoring views and user-specific workspaces.
Dashboard Scope
Dashboards also define a scope, which determines the operational context where they apply.
Available scopes include:
- Customer
- Virtual Domain
This allows dashboards to be tailored to different organizational or infrastructure contexts.
Widgets in Dashboards
Widgets are the main building blocks of dashboards.
A widget can display data using different visual formats, such as:
- charts
- tables
- maps
- custom views
Each widget is configured to retrieve its own data and render it according to its specific purpose.
Typical Dashboard Usage
Dashboards are typically used to:
- monitor infrastructure and service status
- analyze trends and time series
- investigate anomalies
- review network and cloud cost metrics
- export data for further analysis
Main Dashboard Domains
The platform currently includes dashboards for different operational domains, including:
- IT Infrastructure
- Network
- Cloud Cost
Each dashboard groups together widgets relevant to the same functional area.
Relationship with the Data Manager
Dashboards depend on the data configured in the Data Manager.
For example:
- metrics and services feed infrastructure dashboards
- cost registrations feed cloud cost dashboards
- cost views enrich analytical accounting widgets
Without the underlying entity configuration, dashboards would not have meaningful data to display.