Opt in or out of generating and receiving event log files. Track file events such as user downloads with real-time notifications (beta). Get more information about SOAP API exceptions and Apex Unexpected Exception events. When you append new data to Event Monitoring Analytics app datasets (beta), data now uploads more efficiently.
- Opt in for Event Log File Generation (Release Update)
You can now opt in or out of generating and delivering event log files. Previously, all instances received event log files automatically. With this update, event log files are only generated and delivered to instances that opt in to receive event log files. This update automatically disables event log file generation for Developer and Trial editions, and for instances that don’t have the Event Monitoring add-on subscription by default. If you have Salesforce Shield or Salesforce Event Monitoring add-on subscriptions, you’re opted in to receiving event log files by default. This update is available starting in Spring ’23. - Track File Downloads in Near Real-Time with FileEvent (Beta)
With FileEvent in Salesforce Real-Time Event Monitoring, you now get real-time notifications when a user downloads a file. File Event supports transaction security policies. - Get the Category of the Apex Unexpected Exception Event
Use the new EXCEPTION_CATEGORY field of the Apex Unexpected Exception event type of the EventLogFile object. The EXCEPTION_CATEGORY field provides a breakdown of unhandled exceptions based on the type. For example, the LimitException exception type is split into subcategories that indicate if you exceeded the total heap size or CPU time. - Get More Information about SOAP API Exceptions
Use the new EXCEPTION_MESSAGE field for the Apex SOAP Event Type to see information about errors in handling a SOAP API request or why an API request failed. - Streamline Dataset Updates for the Event Monitoring Analytics App (Beta)
Now when you create an app and enable the append dataset configuration (beta), you’re less likely to see duplicate records when the dataflow runs. This improvement reduces the chances of reaching your row count limit.