Advanced Metrics Widget

Last updated - 29 September, 2025

You can use the Advanced Metrics widget to display an aggregation of metrics across multiple DataSources and visually represent the data similar to a Custom Graph widget, Big Number widget, Pie Chart widget, or a Gauge widget. The enhanced flexibility provided by the Advanced Metrics widget’s visualization options enables you to more effectively highlight the data most relevant to identifying root causes, prioritizing alerts, and reducing time to resolution.

The Advanced Metrics widget leverages LogicMonitor Query Language (LMQL) to query for the data you want to visually represent in the widget. You can use LMQL to build structured queries that combine multiple datapoints in a single query, and then filter data using any property. LMQL also supports the advanced aggregation of data directly in your queries.

When you configure an Advanced Metrics widget, you build the query you want to use and then choose the visualization option you want the returned query displayed in. LogicMonitor includes a Query Builder that provides you with a structured method for building your query. The Query Builder provides the base properties (for example, a resource or an instance) and the applicable values that you can choose to include in the query. You can also add additional property filters and values, and the query functions to perform the operations on your data.

Alternatively, you can create your query as a raw query directly in the widget configuration settings.

Configuring an Advanced Metrics Widget

1. In LogicMonitor, navigate to Dashboards, select a current Dashboard or create new, and then add an Advanced Metrics widget.
   For more information, see Dashboard Creation.
   For more information, see Widget Creation.
   
2. Configure the Basic Information settings.
   
   For more information, see Configuring Standard Widget Settings.
3. Create the query for the data you want to represent in the widget by doing one of the following:
   • To create the query using the built-in query builder, select Query Builder and do the following:
     1. In the Filter by field, use the base properties available to build your query.
        LogicMonitor provides Resource, DataSource, Instance, and Datapoint as base properties to build your query.
        

2. Enter additional properties for the query by selecting to add a property filter.
   A list of properties is displayed.
3. Type a property in the Search records field, or select a property from the list of properties displayed.
   LogicMonitor displays applicable properties as you type.
   
4. Type a value for the property in the Search records field, or select a value for the property from the list of values displayed for the property.
   LogicMonitor displays applicable values as you type.
   
5. In the Functions field, select the functions you want to use to perform specific operations or calculations on data.
   For example, selecting “Average” from Aggregate returns the average value of all the matching resources for the selected datapoint.

6. To return multiple data samples over a period of time for each matching metric, do any of the following:
   • To define how far back in time to query for data, add a time for Time range.

• To define how frequently datapoints are samples in that range, add a time for Step.

• To shift the evaluation time backwards by a specified duration, add a time for Offset.

• To create the query manually, select Raw Query and enter the string of queries you want to use in the Advanced Metrics Query field.
  

For more information, see LogicMonitor Query Language (LMQL) Reference for Advanced Metric Widget.

4. In the Display Settings, do the following to configure the type of visualization you want to use to represent the data for your query:
   • To display your data as a Line Graph, Area Graph, or Stack Graph, select “Line Graph,” “Area Graph,” or “Stack Graph” from the Visualization Type dropdown menu, and then configure the settings for how you want the data to display. For more information on configuring the specific settings for each type of graph, see Custom Graph Widget Creation.
   • To display your data as a Big Number widget, select “Big Number” from the Visualization Type dropdown menu, and then configure the settings for how you want the data to display. For more information on configuring the specific settings for each type of graph, see Big Number Widget.

• To display your data as a Pie Chart or a Donut Chart, select “Pie Chart” or “Donut Chart” from the Visualization Type dropdown menu, and then configure the settings for how you want the data to display. For more information on configuring the specific settings for each type of graph, see Pie Chart Widget.

• To display your data as a Gauge widget, select “Gauge” from the Visualization Type dropdown menu, and then configure the settings for how you want the data to display. For more information on configuring the specific settings for each type of graph, see Gauge Widget.

5. Configure the Widget Color Schema settings.
   For more information, see Configuring Standard Widget Settings.
6. Select Save.

Your data displays on your dashboard as the widget you configured.