Error monitoring and crash aggregation in Tag spotlight 🔗
Errors are aggregated based on the stack trace. The error stack trace contains the error type and error message in the body of the stack trace. The following table outlines the different ways errors are grouped together depending on the situation.
How errors are grouped together
Errors have a stack trace
Errors are grouped by the hash ID of the stack trace
Errors don’t have a stack trace
Errors are grouped by the hash ID of the message and error type
Errors don’t have an error message
Errors are grouped by the hash ID of the error type
The error ID can represent:
hash ID of a stack trace
hash ID of a message
hash ID of the error type
Mobile crash aggregation 🔗
A crash happens when a user encounters an error and has to exit the app. App errors are all other types of errors that occur but don’t result in the user having to exit the app. For example, ANR (application not responding).
Explore top crashes across in Tag Spotlight 🔗
From the Splunk RUM overview dashboard, select See all on the Crashes and App Errors chart to open Tag Spotlight. In Tag Spotlight you can explore application based errors, metrics, and events.
To learn more about Tag Spotlight, see:
Get a top-down view of your services in Tag Spotlight for an orientation to Tag Spotlight
Scenario: Deepu finds the root cause of an error using Tag Spotlight for a specific use case leveraging Tag Spotlight.
Open RUM. From the left navigation panel, select RUM and Browser as the source and the application you wan to monitor.
To open Tag Spotlight from either the Application Summary Dashboard, or Overview pages click on any metric.
JS Errors without stacktrace, type, or message 🔗
Sometimes, you might see a message in the UI that says
Learn more 🔗
For more examples on how you can use Tag Spotlight, see Scenario: Deepu finds the root cause of an error using Tag Spotlight.
To learn more about monitoring errors in Splunk RUM for browser, see the use case Scecnario: Kai identifies errors in browser spans.
For examples on working with tags, see Filter your data by tags in Splunk RUM