Azure's AI-based service, Optimization Insights, helps you identify and remove CPU and Memory bottlenecks by:
Optimization Insights service is built entirely using Azure. Behind the scenes, our system's smart-sampling agent grabs samples from the profiles captured on your app every X minutes. These samples are then sent to the AI model to extract the most relevant insights and recommendations.
Before you can use Optimization Insights on your Azure application:
Once you've been onboarded to the private preview, you'll notice the new Optimization Insights (preview) tab from your resource's profiler page. Navigate to that tab to view the insights we've identified in your application over a specific period of time.
Currently, you can only access Optimization Insights through one of the following entry points. From the resource's overview page:
Select Optimization Insights (preview) under Investigate in the left navigation pane.
Navigate to the Performance blade from the left navigation pane and select Optimization Insights (preview) from the top menu.
On the Optimization Insights page, you can filter the results by:
You can also sort columns in the insights results based on:
After sorting and filtering the Optimization Insights results, you can then select each insight to view:
Select the Call Stack button within the insight's details pane to access the full call stack surrounding the performance issue.
The call stack results should look like: