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Merge pull request #268785 from ssalgadodev/patch-77
Update how-to-troubleshoot-kubernetes-extension.md
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articles/machine-learning/how-to-troubleshoot-kubernetes-extension.md

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ms.reviewer: larryfr ssalgado
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ms.service: machine-learning
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ms.subservice: core
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ms.date: 10/10/2022
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ms.date: 03/10/2024
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ms.topic: how-to
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ms.custom: build-spring-2022, cliv2, sdkv2
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---
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# Troubleshoot Azure Machine Learning extension
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In this article, learn how to troubleshoot common problems you may encounter with [Azure Machine Learning extension](./how-to-deploy-kubernetes-extension.md) deployment in your AKS or Arc-enabled Kubernetes.
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In this article, you learn how to troubleshoot common problems you may encounter with [Azure Machine Learning extension](./how-to-deploy-kubernetes-extension.md) deployment in your AKS or Arc-enabled Kubernetes.
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## How is Azure Machine Learning extension installed
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Azure Machine Learning extension is released as a helm chart and installed by Helm V3. All components of Azure Machine Learning extension are installed in `azureml` namespace. You can use the following commands to check the extension status.
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* Increase the memory limit by using the parameter `nginxIngress.resources.controller.limits.memory=<new limit>`.
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Ensure to adjust these two parameters according to your specific node specifications and workload requirements to optimize your workloads effectively.
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## Next steps
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* [Virtual network overview](how-to-network-security-overview.md)
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* [Secure the training environment](how-to-secure-training-vnet.md)
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* [Step 1: Deploy Azure Machine Learning extension](how-to-deploy-kubernetes-extension.md)
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* [Step 2: Attach Kubernetes cluster to workspace](how-to-attach-kubernetes-to-workspace.md)

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