Analyze plug-in performance

When you add business logic to your plug-in you should be aware of the impact your plug-ins will have on overall system performance.

Time and resource constraints

There is a hard 2-minute time limit for a Dataverse message operation to complete. This limit includes executing the intended message operation and all registered synchronous plug-ins. There are also limitations on the amount of CPU and memory resources that can be used by extensions. If the limits are exceeded an exception is thrown and the entire message operation will be cancelled (rolled back).

If the time limit is exceeded, an TimeoutException will be thrown. If any custom extension exceeds threshold CPU, memory, or handle limits or is otherwise unresponsive, that process will be killed by the platform. At that point any current extension in that process will fail with exceptions. However, the next time that the extension is executed it will run normally.

Important

You cannot control how long the message operation or other synchronous registered plug-ins take to execute. You can only control how long your plug-in takes to execute based on its design and coding.

Our general recommendation is to limit the time your plug-in takes to execute to no more than 2 seconds.

If your plug-in requires more time to execute, consider registering your plug-in for asynchronous rather than synchronous execution. In fact, asynchronous execution should always be considered first when possible as it results in better application responsiveness and system scalability.

More information: Best practices and guidance regarding plug-in and workflow development

Monitor performance

Important

This feature is no longer operational or supported. Do not use.

This section will be removed in a future article update.

Run-time information about plug-ins and custom workflow extensions is captured and stored in the PluginTypeStatistic Table. These records are populated within 30 minutes to one hour after the custom code executes.

Plug-in performance analytics

In addition to using a debugger and profiler to learn how your plug-in is performing at the code level, you can interactively obtain metrics as to the overall performance of your registered plug-ins in an organization through Microsoft Dataverse analytics.

Through the Plug-in dashboard you can view metrics such as average execution time, failures, most active plug-ins, and more.

To access the dashboard, navigate to Power Platform Admin Center. Select Analytics > Dataverse > Plug-ins.

See also

Use plug-ins to extend business processes
Write Telemetry to your Application Insights resource using ILogger
Tutorial: Debug a plug-in
Debug Plug-ins