Metric Types
The Metric Types entity defines the types of measurements collected from monitored objects.
A metric type represents a specific monitoring dimension associated with an infrastructure resource.
Examples of metric types include measurements such as:
- CPU utilization
- network latency
- service availability
- traffic volume
Each metric type defines the structure and meaning of the monitoring data collected from an object.
Relationship with Objects
Metric Types are always associated with a specific Object.
An object may have multiple metric types, each representing a different measurement dimension.
For example, a server object may include metric types such as:
- CPU usage
- memory usage
- disk activity
- network traffic
This structure allows the platform to organize monitoring data in a clear and consistent way.
Entity Interaction Model
Metric Types follow the standard entity interaction model described in
Working with Entities.
The interface includes:
- a pre-filter for searching metric types
- a table view displaying the results
- a CRUD dialog for editing the metric type configuration
- a structure page with Tree Hierarchy View and Connections View
Pre-filter and Table View
When opening the Metric Types section, users first access the filter interface.
Typical fields available for filtering and display include:
- Name
- Description
- Profile
- Object
- Status
By default, the table displays active metric types.
Metric Type Details (CRUD Dialog)
Selecting a metric type opens the CRUD dialog, which shows the full configuration of the entity.
Typical fields include:
- Name
- Description
- Profile
- Object
- Data Profile
- Automata Domain
- Status
- Feedback for Operator
From this dialog users can:
- edit the configuration
- duplicate the record
- delete the record
Metric Type Structure View
Selecting the Link icon opens the metric type structure page.
This page allows users to explore the hierarchy descending from the selected metric type through the Tree Hierarchy View.
Metric Types contain:
- Metrics
Metrics represent the actual monitoring data collected over time.
More information is available in Tree Hierarchy View.
Metric Type Actions
Metric Types support operational actions that allow administrators to control monitoring behavior.
These actions include:
- Downtimes – temporarily suspend monitoring alerts
- Dispatchers – configure automated responses to monitoring events
The interface also supports massive operations applied to multiple metric types:
- Massive Downtime
- Massive Dispatcher
Connections View
From the metric type structure page, users can switch to the Connections View.
Metric Types can be connected to:
- Downtimes
- Dispatchers
- Metrics
These relationships define how monitoring data is collected and how the platform reacts to operational conditions.
Role of Metric Types in the Platform
Metric Types define the structure of monitoring data collected from infrastructure resources.
They act as the bridge between:
- Objects, which represent monitored resources
- Metrics, which represent the time-series data collected from those resources
By defining metric types, the platform can organize monitoring data and apply operational logic such as alerts, automation rules, and analytics.