Real-time overview

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This topic describes how to view detailed metrics for crashes, stuttering, and exceptions after you enable the Crash Analytics service.

Background information

The Crash Analytics service provides real-time data collection, analysis, monitoring, and alerting for the stability of your mobile applications. The service detects and analyzes exceptions such as crashes, stuttering, main thread I/O, large memory images, memory leaks, resource leaks, main thread stuttering, and excessive file handle usage.

The Crash Analytics service supports Android, iOS, and HarmonyOS NEXT applications. It helps you establish a 5 minute online fault detection capability. When used with App Performance Analytics and Remote Log Access, it builds a closed-loop process for exception detection, location, and recovery to improve the user experience of your application.

Procedure

  1. Log on to the EMAS Management Console, select Application Monitoring, and then click Enter to open the Application Monitoring console.

  2. In the Application Monitoring console, in the navigation pane on the left, choose Application Monitoring > Real-time Overview.

  3. On the Real-time Overview page, select a specific application to view its overview data.

    Parameter

    Description

    New issues

    The number of times all fault types occurred today.

    Affected devices

    Total number of users affected by all fault types today.

    Alert ranking

    Alerts that occurred most frequently.

    Crash count

    The number of crashes that occurred during the statistical period.

    ANR/Stuttering count

    The number of Application Not Responding (ANR) events or stuttering instances that occurred during the statistical period.

    Startup time

    The time it took for the application to start during the statistical period. The default unit is ms.

    OOM count

    The number of out-of-memory (OOM) errors that occurred during the statistical period.

    Custom multi-dimensional analysis charts

    Charts subscribed to in multi-dimensional analysis are displayed here.