When you troubleshoot frontend performance issues or analyze user behavior patterns, you need a way to slice through large volumes of session data quickly. The data exploration feature in Application Real-Time Monitoring Service (ARMS) lets you query, filter, and aggregate Real User Monitoring (RUM) event data across sessions, page views, resource loads, and exceptions. Drill down into individual sessions to trace user journeys end to end and pinpoint performance bottlenecks.
Prerequisites
Before you begin, make sure that you have:
An application integrated to RUM. For integration instructions, see Integrate a web application or an HTML5 application, Monitor Android apps, or Integrate a mini program
Open the Data Explorer page
Log on to the ARMS console.
In the left-side navigation pane, choose . In the top navigation bar, select the region where your application runs.
Filter data
The Data Explorer page provides time-based, attribute-based, and metric-based controls for narrowing your query results.
Set the time range
In the upper-right corner of the page, use the time selector to define the query window.
Apply search conditions and quick filters
In the search box and the Quick Filter section, filter data across the following dimensions:
Application
Session
Device
System
User
Geography
Combine multiple filters to isolate specific segments. For example, select an application and a geographic region to focus on sessions from users in a particular area.
Aggregate and visualize metrics
In the metric aggregation section, select a metric and a grouping dimension. Then choose a chart type:
Column chart
Line chart
Pie chart
Map
Drill down into sessions
The session list at the bottom of the Data Explorer page displays individual session records. Click a session ID to open its detail view.
The session detail view provides three levels of drill-down data:
Page views (PVs)
Resource loading
User actions