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@@ -54,14 +54,19 @@ In this article, you learn how to secure inferencing environments (online endpoi
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For information on securing managed online endpoints, see the [Use network isolation with managed online endpoints](how-to-secure-online-endpoint.md) article.
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## Secure Azure Kubernetes Service
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## Secure Azure Kubernetes Service online endpoints
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To configure and attach an Azure Kubernetes Service cluster for secure inference, use the following steps:
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To use Azure Kubernetes Service cluster for secure inference, use the following steps:
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1. Create or configure a [secure Kubernetes inferencing environment](how-to-secure-kubernetes-inferencing-environment.md).
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1.[Attach the Kubernetes cluster to the workspace](how-to-attach-kubernetes-anywhere.md).
* Studio UI - Follow the steps in [managed online endpoint deployment](how-to-use-managed-online-endpoint-studio.md) through the Studio. After entering the __Endpoint name__ select __Kubernetes__ as the compute type instead of __Managed__
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Afterwards, you can use the cluster for inference deployments to online endpoints. For more information, see [How to deploy an online endpoint](how-to-deploy-online-endpoints.md).
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## Limit outbound connectivity from the virtual network
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@@ -76,4 +81,4 @@ This article is part of a series on securing an Azure Machine Learning workflow.
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*[Secure the training environment](how-to-secure-training-vnet.md)
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*[Enable studio functionality](how-to-enable-studio-virtual-network.md)
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*[Use custom DNS](how-to-custom-dns.md)
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*[Use a firewall](how-to-access-azureml-behind-firewall.md)
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*[Use a firewall](how-to-access-azureml-behind-firewall.md)
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