Setup EKS Anywhere cluster according to the EKS Anywhere documentation.

Create an EKS Anywhere production cluster to reproduce the EKS Anywhere Conformance e2e results.

Create a Kubernetes cluster on a target workload environment with EKS Anywhere run on an administrative machine.

The target workload environment will need:

• A vSphere 7+ environment running vCenter
• Capacity to deploy 6-10VMs
• DHCP service running in vSphere environment in the primary VM network for your workload cluster
• One network in vSphere to use for the cluster. This network must have inbound access into vCenter
• A OVA imported into vSphere and converted into template for the workload VMs
• User credentials to create vms and attach networks, etc

Each VM will require:

• 2 vCPU
• 8GB RAM
• 25GB Disk

The administrative machine will need:

• Docker 20.x.x
• Mac OS (10.15) / Ubuntu (20.04.2 LTS)
• 4 CPU cores
• 16GB memory
• 30GB free disk space

On the administrative machine, install and configure the Kubernetes command-line tool kubectl

The method to install Docker depends on your operating system and architecture. If you are using Ubuntu use the Docker CE installation instructions to install Docker and not the Snap installation.

Install EKS Anywhere on your administrative machine.

Download a binary release of sonobuoy.

If you are on a Mac, you many need to open the Security & Privacy and approve sonobuoy for execution.

if [[ "$(uname)" == "Darwin" ]]
then
  SONOBUOY=https://github.com/vmware-tanzu/sonobuoy/releases/download/v0.50.0/sonobuoy_0.50.0_darwin_amd64.tar.gz
else
  SONOBUOY=https://github.com/vmware-tanzu/sonobuoy/releases/download/v0.50.0/sonobuoy_0.50.0_linux_386.tar.gz
fi
wget -qO- ${SONOBUOY} |tar -xz sonobuoy
chmod 755 sonobuoy

1. Generate a cluster configuration:

   CLUSTER_NAME=prod
   eksctl anywhere generate clusterconfig $CLUSTER_NAME --provider vsphere >cluster.yaml

2. Populate cluster configuration. For example:

   apiVersion: anywhere.eks.amazonaws.com/v1alpha1
   kind: Cluster
   metadata:
     name: prod
   spec:
     clusterNetwork:
       cni: cilium
       pods:
         cidrBlocks:
         - 192.168.0.0/16
       services:
         cidrBlocks:
         - 10.96.0.0/12
     controlPlaneConfiguration:
       count: 2
       endpoint:
         host: "198.18.100.79"
       machineGroupRef:
         kind: VSphereMachineConfig
         name: prod-cp
     datacenterRef:
       kind: VSphereDatacenterConfig
       name: prod
     externalEtcdConfiguration:
       count: 3
       machineGroupRef:
         kind: VSphereMachineConfig
         name: prod-etcd
     kubernetesVersion: "1.29"
     managementCluster:
       name: prod
     workerNodeGroupConfigurations:
     - count: 2
       machineGroupRef:
         kind: VSphereMachineConfig
         name: prod
   ---
   apiVersion: anywhere.eks.amazonaws.com/v1alpha1
   kind: VSphereDatacenterConfig
   metadata:
     name: prod
   spec:
     datacenter: "SDDC-Datacenter"
     insecure: false
     network: "/SDDC-Datacenter/network/sddc-cgw-network-1"
     server: "vcenter.sddc-44-239-186-141.vmwarevmc.com"
     thumbprint: ""
   ---
   apiVersion: anywhere.eks.amazonaws.com/v1alpha1
   kind: VSphereMachineConfig
   metadata:
     name: prod-cp
   spec:
     datastore: "/SDDC-Datacenter/datastore/WorkloadDatastore"
     diskGiB: 25
     folder: "/SDDC-Datacenter/vm/capv/prod"
     memoryMiB: 8192
     numCPUs: 2
     osFamily: bottlerocket
     resourcePool: "*/Resources/Compute-ResourcePool"
     users:
     - name: ec2-user
       sshAuthorizedKeys:
       - "ssh-rsa AAAA..."
   ---
   apiVersion: anywhere.eks.amazonaws.com/v1alpha1
   kind: VSphereMachineConfig
   metadata:
     name: prod
   spec:
     datastore: "/SDDC-Datacenter/datastore/WorkloadDatastore"
     diskGiB: 25
     folder: "/SDDC-Datacenter/vm/capv/prod"
     memoryMiB: 8192
     numCPUs: 2
     osFamily: bottlerocket
     resourcePool: "*/Resources/Compute-ResourcePool"
     users:
     - name: ec2-user
       sshAuthorizedKeys:
       - "ssh-rsa AAAA..."
   ---
   apiVersion: anywhere.eks.amazonaws.com/v1alpha1
   kind: VSphereMachineConfig
   metadata:
     name: prod-etcd
   spec:
     datastore: "/SDDC-Datacenter/datastore/WorkloadDatastore"
     diskGiB: 25
     folder: "/SDDC-Datacenter/vm/capv/prod"
     memoryMiB: 8192
     numCPUs: 2
     osFamily: bottlerocket
     resourcePool: "*/Resources/Compute-ResourcePool"
     users:
     - name: ec2-user
       sshAuthorizedKeys:
       - "ssh-rsa AAAA..."

3. Set credential environment variables

   export EKSA_VSPHERE_USERNAME='billy'
   export EKSA_VSPHERE_PASSWORD='t0p$ecret'

4. Create a cluster

   eksctl anywhere create cluster -f cluster.yaml -v 4

./sonobuoy run --mode=certified-conformance
results=$(./sonobuoy retrieve)
mkdir ./results
tar xzf $results -C ./results
./sonobuoy e2e ${results}
mv results/plugins/e2e/results/global/* .

eksctl anywhere delete cluster prod -v 4
rm -rf cluster.yaml prod *tar.gz results