Data Manager Overview

The Data Manager is the central configuration area of the XAUTOMATA platform.

It allows users to define and manage the entities that represent the monitored environment.

These entities form the internal data model used by the platform to build digital representations of real-world systems.

Entity-Based Architecture

The Data Manager is based on an entity-driven architecture.

Each entity represents a type of object within the system and can be managed through configurable forms and tables.

Examples of entities include:

These entities are connected through relationships that reflect real-world structures.

Most entities in the Data Manager follow a common interaction pattern based on filtering, tabular results, CRUD dialogs, and entity relationships.

For a detailed explanation of how these interfaces work, see
Working with Entities.

The Customer Repository manages organizational information.

Entities in this area include:

This information is used to associate infrastructure, services, and dashboards with specific organizations.

The Objects Repository describes the technical infrastructure being monitored.

Entities include:

These entities allow XAUTOMATA to represent complex infrastructures and services as structured data.

Metrics provide the measurement layer of the platform.

Metrics are collected through Probes, which connect XAUTOMATA to monitored systems.

The observability model consists of:

This structure allows the platform to gather and analyze operational data from many sources.

The Tracking section provides tools to manage operational events such as maintenance windows or planned downtimes.

Entities include:

These tools help coordinate operational activities and system interventions.

The entities defined in the Data Manager provide the data used by dashboards and widgets.

For example:

Without the configuration defined in the Data Manager, dashboards would not have any data to display.