When microservice applications throw a high volume of exceptions, identifying which ones require immediate attention becomes difficult. Enterprise Distributed Application Service (EDAS) exception analysis aggregates exception data across your application to help you cut through the noise. With exception analysis, you can:
View total exception counts over a selected time range
Break down exceptions by type
Identify the ports where exceptions occur
Spot exception spikes and track trends over time using time series charts
Analyze exceptions
The Exceptions Diagnosis page provides two panels:
Exception list (left side): Lists all abnormal threads thrown by your application.
Exceptions (right side): Displays a time series curve chart showing how the selected exception count changes over time.
To open the Exceptions Diagnosis page and analyze your application exceptions:
Log on to the EDAS console.
In the left-side navigation pane, choose .
In the top navigation bar, select a region. In the upper part of the page, select a microservice namespace.
From the Cluster Type drop-down list, select Kubernetes Cluster.
Find the target application and click its name in the Application Name column.
In the left-side navigation pane of the application details page, choose .
In the upper-right corner of the Exceptions Diagnosis page, specify a time range to narrow results to a specific period.
In the exception list on the left side, select an abnormal thread.
In the Exceptions section on the right side, review the time series curve chart. Look for spikes or sustained increases to determine whether an excessive number of exceptions occurred during a particular period.