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Mingda Jia
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articles/machine-learning/v1/how-to-deploy-azure-kubernetes-service.md

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@@ -91,7 +91,7 @@ The front-end component (azureml-fe) that routes incoming inference requests to
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> When using a cluster configured as `dev-test`, the self-scaler is *disabled*. Even for FastProd/DenseProd clusters, Self-Scaler is only enabled when telemetry shows that it's needed.
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> [!IMPORTANT]
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> Azure Machine Learning does not upload and or save container logs, even for system containers. For full debuggability, you should [enable Container Insights for your AKS cluster](../../azure-monitor/containers/kubernetes-monitoring-enable.md#enable-container-insights) on your own to save and manage container logs, and share the related logs with AML team. Otherwise, AML does not commit SLA on azureml-fe related issues.
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> Azure Machine Learning does not upload and or save container logs, even for system containers. For full debuggability, you should [enable Container Insights for your AKS cluster](../../azure-monitor/containers/kubernetes-monitoring-enable.md#enable-container-insights) on your own to save and manage container logs, and share the related logs with AML team when necessary. Otherwise, AML does not commit SLA on azureml-fe related issues.
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> [!NOTE]
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> The maximum request payload is 100MB.

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