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AWS GPU: Create a Managed Cluster Using the DKP CLI

These pages refer to DKP Enterprise and DKP Gov Advanced products.

In previous steps, you created a new Management cluster, which is self-managed. When you use these steps to create new Managed clusters, they will become Attached clusters under your Management Cluster.

When creating Managed clusters, you do not need to create and move CAPI objects, or install the Kommander component. Those tasks are only done on Management clusters!

Create New Managed GPU Cluster with the CLI

The below instructions tell you how to create a cluster and have it automatically attach to the workspace you set above.
If you do not set a workspace, it will be created in the default workspace, and you need to take additional steps to attach to a workspace later. For instructions on how to do this, see Attach a Kubernetes Cluster.

Your new, managed cluster needs to be part of either a new Workspace or an existing Workspace under a management cluster. Create or locate a workspace name to get started with your managed cluster.

Make New Cluster Part of a Workspace

  1. If you have an existing Workspace name, run this command to find the name:
    ⚠️ NOTE: If you need to create a new Workspace, follow the instructions to Create a New Workspace.

    CODE
    kubectl get workspace -A
  2. When you have the Workspace name, set the WORKSPACE_NAMESPACE environment variable:

    CODE
    export WORKSPACE_NAMESPACE=<workspace_namespace>

Name Your Cluster

Follow these steps:

  1. Give your cluster a unique name suitable for your environment.

    In AWS it is critical that the name is unique, as no two clusters in the same AWS account can have the same name.

  2. Set the environment variable:

    CODE
    export MANAGED_CLUSTER_NAME=<aws-additional>

The cluster name may only contain the following characters: a-z, 0-9, ., and -. Cluster creation will fail if the name has capital letters. See Kubernetes for more naming information.

3. Execute this command to create your Kubernetes cluster using any relevant flags but note that the --self-managed is absent so that this cluster can be attached to your previously created Management Cluster.

  • Execute this command to create a cluster with a GPU AMI:

    CODE
    dkp create cluster aws \
    --cluster-name=${MANAGED_CLUSTER_NAME} \
    --additional-tags=owner=$(whoami) \
    --kubeconfig=<management-cluster-kubeconfig-path> \
    --namespace ${WORKSPACE_NAMESPACE}
    --with-aws-bootstrap-credentials=true \
    --kubeconfig=<management-cluster-kubeconfig-path> \

    If your environment uses HTTP/HTTPS proxies, you must include the flags --http-proxy, --https-proxy, and --no-proxy and their related values in this command for it to be successful. More information is available in Configuring an HTTP/HTTPS Proxy.

  • Create the node pool after cluster creation:

    CODE
    dkp create nodepool aws -c ${CLUSTER_NAME} \
    --instance-type p2.xlarge \
    --ami-id=${AMI_ID_FROM_KIB} \
    --replicas=1 ${NODEPOOL_NAME} \
    --kubeconfig=${CLUSTER_NAME}.conf \

Retrieve the kubeconfig and Explore New AWS Cluster

Follow these steps:

  1. Fetch the kubeconfig file with the command:

    CODE
    dkp get kubeconfig --cluster-name ${MANAGED_CLUSTER_NAME} --kubeconfig <management-cluster-kubeconfig-path> -n ${WORKSPACE_NAMESPACE} > ${MANAGED_CLUSTER_NAME}.conf
  2. List the nodes with the following command:

    CODE
    kubectl --kubeconfig=${MANAGED_CLUSTER_NAME}.conf get nodes
  3. List the pods with the following command:

NOTE: Wait for the Status to move to Ready while calico-node pods are being deployed.

CODE
kubectl --kubeconfig=${MANAGED_CLUSTER_NAME}.conf get pods -A

Manually Attach a DKP CLI Cluster to the Management Cluster

These steps are only applicable if you do not set a WORKSPACE_NAMESPACE when creating a cluster. If you already set a WORKSPACE_NAMESPACE, then you do not need to perform these steps since the cluster is already attached to the workspace.

Starting with DKP 2.6, when you create a Managed Cluster with the DKP CLI, it attaches automatically to the Management Cluster after a few moments.

However, if you do not set a workspace, the attached cluster will be created in the default workspace. To ensure that the attached cluster is created in your desired workspace namespace, follow these instructions:

  1. Confirm you have your MANAGED_CLUSTER_NAME variable set with the following command:

    CODE
    echo ${MANAGED_CLUSTER_NAME}
  2. Retrieve your kubeconfig from the cluster you have created without setting a workspace:

    CODE
    dkp get kubeconfig --cluster-name ${MANAGED_CLUSTER_NAME} > ${MANAGED_CLUSTER_NAME}.conf
  3. You can now either [attach it in the UI](link to attaching it to workspace via UI that was earlier), or attach your cluster to the workspace you want in the CLI.
    NOTE: This is only necessary if you never set the workspace of your cluster upon creation.

  4. Retrieve the workspace where you want to attach the cluster:

    CODE
    kubectl get workspaces -A
  5. Set the WORKSPACE_NAMESPACE environment variable:

    CODE
    export WORKSPACE_NAMESPACE=<workspace-namespace>
  6. You need to create a secret in the desired workspace before attaching the cluster to that workspace. Retrieve the kubeconfig secret value of your cluster:

    CODE
    kubectl -n default get secret ${MANAGED_CLUSTER_NAME}-kubeconfig -o go-template='{{.data.value}}{{ "\n"}}'
  7. This will return a lengthy value. Copy this entire string for a secret using the template below as a reference. Create a new attached-cluster-kubeconfig.yaml file:

    CODE
    apiVersion: v1
    kind: Secret
    metadata:
      name: <your-managed-cluster-name>-kubeconfig
      labels:
        cluster.x-k8s.io/cluster-name: <your-managed-cluster-name>
    type: cluster.x-k8s.io/secret
    data:
      value: <value-you-copied-from-secret-above>
  8. Create this secret in the desired workspace:

    CODE
    kubectl apply -f attached-cluster-kubeconfig.yaml --namespace ${WORKSPACE_NAMESPACE}
  9. Create this kommandercluster object to attach the cluster to the workspace:

    CODE
    cat << EOF | kubectl apply -f -
    apiVersion: kommander.mesosphere.io/v1beta1
    kind: KommanderCluster
    metadata:
      name: ${MANAGED_CLUSTER_NAME}
      namespace: ${WORKSPACE_NAMESPACE}
    spec:
      kubeconfigRef:
        name: ${MANAGED_CLUSTER_NAME}-kubeconfig
      clusterRef:
        capiCluster:
          name: ${MANAGED_CLUSTER_NAME}
    EOF
  10. You can now view this cluster in your Workspace in the UI and you can confirm its status by running the below command. It may take a few minutes to reach "Joined" status:

    CODE
    kubectl get kommanderclusters -A

If you have several Essential Clusters and want to turn one of them to a Managed Cluster to be centrally administrated by a Management Cluster, refer to Platform Expansion: Convert a DKP Essential Cluster to a DKP Enterprise Managed Cluster.

Next Step:

Day 2 - Cluster Operations Management

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