Self-hosted Kubernetes cluster#
In this document, you will learn how to create a local Kubernetes cluster, deploy it to Azure Arc, and link it to your Azure machine learning workspace computes.
Create Kubernetes cluster#
Please make sure Docker is installed: Docker Engine installation overview | Docker Documentation
Create local Kubernetes cluster. We will use kind: kind (k8s.io) to create the cluster in this tutorials:
Run command
kind create cluster
Please note that this command will create Kubernetes cluster config file in default path:
“$HOME/.kube/config”
. You can specify other kubeconfig files by setting the KUBECONFIG environment variable or by setting the--kubeconfig
flag.Kubernetes config documentation link: Organizing Cluster Access Using kubeconfig Files | Kubernetes
Add local Kubernetes cluster to Azure Arc#
Lunch Azure Arc page at Microsoft Azure Arc
Select
Add your infrastructure for free
:
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Select
Kubernetes clusters
:
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Fill out cluster details:
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Download and run the script on local machine
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It may take several minutes to link the cluster to Azure Arc. Then you should be able to see cluster verification passes in the last step.
Add AML extension to cluster#
Please follow the instructions to add AML extension to your Azure Arc Kubernetes: Deploy AzureML extension on Kubernetes cluster - Azure Machine Learning | Microsoft Learn
Link Azure Arc Kubernetes cluster to Azure Machine Learning#
In your Azure Machine Learning Workspace, select
Compute
–Attached computes
–New
–Kubernetes
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Select cluster that you created before - Attach:
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You should be able to use attached computes for your machine learning jobs here:
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