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articles/aks/azure-disks-dynamic-pv.md

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@@ -27,14 +27,14 @@ This article assumes that you have an existing AKS cluster. If you need an AKS c
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You also need the Azure CLI version 2.0.59 or later installed and configured. Run `az --version` to find the version. If you need to install or upgrade, see [Install Azure CLI][install-azure-cli].
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## Built in storage classes
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## Built-in storage classes
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A storage class is used to define how a unit of storage is dynamically created with a persistent volume. For more information on Kubernetes storage classes, see [Kubernetes Storage Classes][kubernetes-storage-classes].
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Each AKS cluster includes two pre-created storage classes, both configured to work with Azure disks:
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* The *default* storage class provisions a standard Azure disk.
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* Standard storage is backed by HDDs, and delivers cost-effective storage while still being performant. Standard disks are ideal for a cost effective dev and test workload.
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* Standard storage is backed by HDDs, and delivers cost-effective storage while still being performant. Standard disks are ideal for a cost-effective development and test workload.
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* The *managed-premium* storage class provisions a premium Azure disk.
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* Premium disks are backed by SSD-based high-performance, low-latency disk. Perfect for VMs running production workload. If the AKS nodes in your cluster use premium storage, select the *managed-premium* class.
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articles/aks/use-multiple-node-pools.md

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To get started, create an AKS cluster with a single node pool. The following example uses the [az group create][az-group-create] command to create a resource group named *myResourceGroup* in the *eastus* region. An AKS cluster named *myAKSCluster* is then created using the [az aks create][az-aks-create] command. A *--kubernetes-version* of *1.15.7* is used to show how to update a node pool in a following step. You can specify any [supported Kubernetes version][supported-versions].
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> [!NOTE]
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> The *Basic* load balancer SKU is **not supported** when using multiple node pools. By default, AKS clusters are created with the *Standard* load balancer SKU from Azure CLI and Azure portal.
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> The *Basic* load balancer SKU is **not supported** when using multiple node pools. By default, AKS clusters are created with the *Standard* load balancer SKU from the Azure CLI and Azure portal.
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```azurecli-interactive
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# Create a resource group in East US
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Issuing the `az aks upgrade` command with the `--control-plane-only` flag upgrades only the cluster control plane. None of the associated node pools in the cluster are changed.
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Upgrading individual node pools requires using `az aks nodepool upgrade`. This upgrades only the target node pool with the specified Kubernetes version
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Upgrading individual node pools requires using `az aks nodepool upgrade`. This upgrades only the target node pool with the specified Kubernetes version.
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### Validation rules for upgrades
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For more information on how to use advanced Kubernetes scheduled features, see [Best practices for advanced scheduler features in AKS][taints-tolerations]
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In this example, apply a taint to your GPU-based node using the [kubectl taint node][kubectl-taint] command. Specify the name of your GPU-based node from the output of the previous `kubectl get nodes` command. The taint is applied as a *key:value* and then a scheduling option. The following example uses the *sku=gpu* pair and defines pods otherwise have the *NoSchedule* ability:
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In this example, apply a taint to your GPU-based node using the [kubectl taint node][kubectl-taint] command. Specify the name of your GPU-based node from the output of the previous `kubectl get nodes` command. The taint is applied as a *key=value* pair and then a scheduling option. The following example uses the *sku=gpu* pair and defines pods otherwise have the *NoSchedule* ability:
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```console
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kubectl taint node aks-gpunodepool-28993262-vmss000000 sku=gpu:NoSchedule
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Normal Started 4m40s kubelet, aks-gpunodepool-28993262-vmss000000 Started container
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```
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Only pods that have this taint applied can be scheduled on nodes in *gpunodepool*. Any other pod would be scheduled in the *nodepool1* node pool. If you create additional node pools, you can use additional taints and tolerations to limit what pods can be scheduled on those node resources.
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Only pods that have this toleration applied can be scheduled on nodes in *gpunodepool*. Any other pod would be scheduled in the *nodepool1* node pool. If you create additional node pools, you can use additional taints and tolerations to limit what pods can be scheduled on those node resources.
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## Manage node pools using a Resource Manager template
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articles/terraform/terraform-create-k8s-cluster-with-tf-and-aks.md

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- **Configure Terraform**: Follow the directions in the article, [Terraform and configure access to Azure](/azure/virtual-machines/linux/terraform-install-configure)
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- **Azure service principal**: Follow the directions in the section of the **Create the service principal** section in the article, [Create an Azure service principal with Azure CLI](/cli/azure/create-an-azure-service-principal-azure-cli?view=azure-cli-latest). Take note of the values for the appId, displayName, password, and tenant.
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- **Azure service principal**: Follow the directions in the **Create the service principal** section in the article, [Create an Azure service principal with Azure CLI](/cli/azure/create-an-azure-service-principal-azure-cli?view=azure-cli-latest). Take note of the values for the appId, displayName, password, and tenant.
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## Create the directory structure
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## Create the Kubernetes cluster
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In this section, you see how to use the `terraform init` command to create the resources defined the configuration files you created in the previous sections.
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In this section, you see how to use the `terraform init` command to create the resources defined in the configuration files you created in the previous sections.
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1. In Cloud Shell, initialize Terraform. Replace the placeholders with appropriate values for your environment.
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