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Acrolinx fixes
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articles/ai-studio/how-to/develop/trace-production-sdk.md

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@@ -42,7 +42,7 @@ You can also [deploy to other platforms, such as Docker container, Kubernetes cl
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## Enable trace and collect system metrics for your deployment
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If you're using Azure AI Foundry portal to deploy, then you can turn-on **Application Insights diagnostics** in **Advanced settings** > **Deployment** step in the deployment wizard, in which way the tracing data and system metrics are collected to the project linked to Application Insights.
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If you're using Azure AI Foundry portal to deploy, you can turn on **Application Insights diagnostics** in the **Advanced settings** > **Deployment** step in the deployment wizard, in which way the tracing data and system metrics are collected to the project linked to Application Insights.
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If you're using the SDK or CLI, you can add a property `app_insights_enabled: true` in the deployment yaml file that collects data to the project linked to application insights.
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You can view the detailed trace in the specified Application Insights. The following screenshot shows an example of an event of a deployed flow containing multiple nodes. In Application Insights -> Investigate -> Transaction search, and you can select each node to view its detailed trace.
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The **Dependency** type events record calls from your deployments. The name of that event is the name of flow folder. Learn more about [Transaction search and diagnostics in Application Insights](/azure/azure-monitor/app/transaction-search-and-diagnostics).
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The **Dependency** type events record calls from your deployments. The name of that event is the name of the flow folder. Learn more about [Transaction search and diagnostics in Application Insights](/azure/azure-monitor/app/transaction-search-and-diagnostics).
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## View system metrics in Application Insights
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