The Metric Summary Table widget is used for showing current and aggregate metric values in a tabular form. Like most widgets, you can scope the results to specific instances and metrics using a variety of filtering options. Also, pick from several configurable columns that you can add to the summary table to display availability/SLA, min, max, avg values. Tune the specific order of the columns as well as the sorting of rows.

On this page

Use case

The Metric Summary Table widget is useful when:

  • You want to display the current status of the metrics in an instance or a group of instances.
  • You want to display the historical availability, averages, and outage information of the selected metrics.


Linux servers status and availability

In this example, the widget displays the status and availability (24 hours) of all Linux servers. The Outages: 24 hours data point is also enabled, which shows the number of incidents that occurred on the Linux instance. 

You can also hover your mouse to an incident to show the details. Selecting the Incident ID will redirect you to the incident's page.


When creating or editing a widget, a drawer that shows the widget's configuration options slides out from the right. Each configurable option is described in the following table.

Field Description
Widget name

Name of the widget as it appears on the dashboard.

This field shows the default name of the widget. Select the pen icon to rename the widget. 

Metrics Availability, status, and outage information will be derived from the selected metrics.
Filter metrics

You can also use the filters to fine-tune your search results. 


  • No filter
  • By tags
  • By option string
Filter instance by
Filter instances by the following:


  • No filter
  • Tags
  • Group
  • Name
Data Points 
Select which data points you want to show or hide.

  • Service
  • Server
  • Metric Status
  • Metric Value
  • Availability: 24 hours
  • Availability: 7 days
  • Outages: 24 hours
  • Outages: 7 days 
  • Avg Value: 24 hours
  • Avg value: 7 days
  • Min value: 24 hours 
  • Min value: 7 days 
  • Max value: 24 hours 
  • Max value: 7 days