Local cluster setup

EKS Anywhere docker provider deployments

EKS Anywhere supports a Docker provider for development and testing use cases only. This allows you to try EKS Anywhere on your local system before deploying to a supported provider.

To install the EKS Anywhere binaries and see system requirements please follow the installation guide



  1. Generate a cluster config

    eksctl anywhere generate clusterconfig $CLUSTER_NAME \
       --provider docker > $CLUSTER_NAME.yaml

    The command above creates a file named eksa-cluster.yaml with the contents below in the path where it is executed. The configuration specification is divided into two sections:

    • Cluster
    • DockerDatacenterConfig
    apiVersion: anywhere.eks.amazonaws.com/v1alpha1
    kind: Cluster
    name: dev-cluster
          cilium: {}
       count: 1
       kind: DockerDatacenterConfig
       name: dev-cluster
       count: 1
    kubernetesVersion: "1.21"
       name: dev-cluster
    - count: 1
       name: md-0
    apiVersion: anywhere.eks.amazonaws.com/v1alpha1
    kind: DockerDatacenterConfig
       name: dev-cluster
    spec: {}
    • Apart from the base configuration, you can add additional optional configuration to enable supported features:
  2. Configure Curated Packages

    The Amazon EKS Anywhere Curated Packages are only available to customers with the Amazon EKS Anywhere Enterprise Subscription. To request a free trial, talk to your Amazon representative or connect with one here

    . Cluster creation will succeed if authentication is not set up, but some warnings may be generated. Detailed package configurations can be found here


    If you are going to use packages, set up authentication. These credentials should have limited capabilities


    export EKSA_AWS_ACCESS_KEY_ID="your*access*id"
    export EKSA_AWS_SECRET_ACCESS_KEY="your*secret*key"  
  3. Create Cluster:

    Note The Amazon EKS Anywhere Curated Packages are only available to customers with the Amazon EKS Anywhere Enterprise Subscription. Due to this there might be some warnings in the CLI if proper authentication is not set up.

    eksctl anywhere create cluster -f $CLUSTER_NAME.yaml

    Example command output

    Performing setup and validations
    ✅ validation succeeded {"validation": "docker Provider setup is valid"}
    Creating new bootstrap cluster
    Installing cluster-api providers on bootstrap cluster
    Provider specific setup
    Creating new workload cluster
    Installing networking on workload cluster
    Installing cluster-api providers on workload cluster
    Moving cluster management from bootstrap to workload cluster
    Installing EKS-A custom components (CRD and controller) on workload cluster
    Creating EKS-A CRDs instances on workload cluster
    Installing GitOps Toolkit on workload cluster
    GitOps field not specified, bootstrap flux skipped
    Deleting bootstrap cluster
    🎉 Cluster created!
    The Amazon EKS Anywhere Curated Packages are only available to customers with the
    Amazon EKS Anywhere Enterprise Subscription
    Installing curated packages controller on management cluster
    secret/aws-secret created
    job.batch/eksa-auth-refresher created

    Note to install curated packages during cluster creation, use --install-packages packages.yaml flag

  4. Use the cluster

    Once the cluster is created you can use it with the generated KUBECONFIG file in your local directory

    export KUBECONFIG=${PWD}/${CLUSTER_NAME}/${CLUSTER_NAME}-eks-a-cluster.kubeconfig
    kubectl get ns

    Example command output

    NAME                                STATUS   AGE
    capd-system                         Active   21m
    capi-kubeadm-bootstrap-system       Active   21m
    capi-kubeadm-control-plane-system   Active   21m
    capi-system                         Active   21m
    capi-webhook-system                 Active   21m
    cert-manager                        Active   22m
    default                             Active   23m
    eksa-packages                       Active   23m
    eksa-system                         Active   20m
    kube-node-lease                     Active   23m
    kube-public                         Active   23m
    kube-system                         Active   23m

    You can now use the cluster like you would any Kubernetes cluster. Deploy the test application with:

    kubectl apply -f "https://anywhere.eks.amazonaws.com/manifests/hello-eks-a.yaml"

    Verify the test application in the deploy test application section


Next steps:

  • See the Cluster management

    section for more information on common operational tasks like scaling and deleting the cluster.

  • See the Package management

    section for more information on post-creation curated packages installation.

To verify that a cluster control plane is up and running, use the kubectl command to show that the control plane pods are all running.

kubectl get po -A -l control-plane=controller-manager
NAMESPACE                           NAME                                                             READY   STATUS    RESTARTS   AGE
capi-kubeadm-bootstrap-system       capi-kubeadm-bootstrap-controller-manager-57b99f579f-sd85g       2/2     Running   0          47m
capi-kubeadm-control-plane-system   capi-kubeadm-control-plane-controller-manager-79cdf98fb8-ll498   2/2     Running   0          47m
capi-system                         capi-controller-manager-59f4547955-2ks8t                         2/2     Running   0          47m
capi-webhook-system                 capi-controller-manager-bb4dc9878-2j8mg                          2/2     Running   0          47m
capi-webhook-system                 capi-kubeadm-bootstrap-controller-manager-6b4cb6f656-qfppd       2/2     Running   0          47m
capi-webhook-system                 capi-kubeadm-control-plane-controller-manager-bf7878ffc-rgsm8    2/2     Running   0          47m
capi-webhook-system                 capv-controller-manager-5668dbcd5-v5szb                          2/2     Running   0          47m
capv-system                         capv-controller-manager-584886b7bd-f66hs                         2/2     Running   0          47m

You may also check the status of the cluster control plane resource directly. This can be especially useful to verify clusters with multiple control plane nodes after an upgrade.

kubectl get kubeadmcontrolplanes.controlplane.cluster.x-k8s.io
supportbundletestcluster   true          true                   v1.20.7-eks-1-20-6   1          1       1

To verify that the expected number of cluster worker nodes are up and running, use the kubectl command to show that nodes are Ready.

This will confirm that the expected number of worker nodes are present. Worker nodes are named using the cluster name followed by the worker node group name (example: my-cluster-md-0)

kubectl get nodes
NAME                                           STATUS   ROLES                  AGE    VERSION
supportbundletestcluster-md-0-55bb5ccd-mrcf9   Ready    <none>                 4m   v1.20.7-eks-1-20-6
supportbundletestcluster-md-0-55bb5ccd-zrh97   Ready    <none>                 4m   v1.20.7-eks-1-20-6
supportbundletestcluster-mdrwf                 Ready    control-plane,master   5m   v1.20.7-eks-1-20-6

To test a workload in your cluster you can try deploying the hello-eks-anywhere