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Custom Virtual Machine Class Types with vSphere with Tanzu

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When you deploy a Tanzu Kubernetes Grid (TKG) Cluster using the integrated TKG Service in vSphere with Tanzu, you can specify a Virtual Machine Class Type which determines the amount of CPU and Memory resources that are allocated for both the Control Plane and/or Worker Node VMs for your TKG Cluster.

Here is a sample YAML specification that uses the best-effort-xsmall VM class type for both Control Plane and Worker Node, but you can certainly override and choose different classes based on your requirements.

apiVersion: run.tanzu.vmware.com/v1alpha1
kind: TanzuKubernetesCluster
metadata:
  name: william-tkc-01
  namespace: primp-industries
spec:
  distribution:
    version: v1.17.8+vmware.1-tkg.1.5417466
  settings:
    network:
      cni:
        name: antrea
      pods:
        cidrBlocks:
        - 193.0.2.0/16
      serviceDomain: managedcluster.local
      services:
        cidrBlocks:
        - 195.51.100.0/12
  topology:
    controlPlane:
      class: best-effort-xsmall
      count: 1
      storageClass: vsan-default-storage-policy
    workers:
      class: best-effort-xsmall
      count: 3
      storageClass: vsan-default-storage-policy

Today, the are a total of 16 VM Class types that you can select from, however these are not customizable which is something that has been coming up more recently. The vSphere with Tanzu team is aware of this request and is working on a solution that not only makes customizing CPU and Memory easier but also supporting storage customization. As you can see from the table below, 16GB is only supported configuration today.


In the mean time, if you need a supported path for customizing your TKG Guest Clusters, one option is to use the TKG Standalone / MultiCloud CLI, which can be used with a vSphere with Tanzu Cluster. You will need to deploy an additional TKG Management Cluster (basically a few VMs), but once you have that, you can override CPU, Memory and Storage of both the Control Plane and Worker Nodes using the following environment variables:

  • VSPHERE_WORKER_NUM_CPUS
  • VSPHERE_WORKER_MEM_MIB
  • VSPHERE_WORKER_DISK_GIB
  • VSPHERE_CONTROL_PLANE_NUM_CPUS
  • VSPHERE_CONTROL_PLANE_MEM_MIB
  • VSPHERE_CONTROL_PLANE_DISK_GIB

If you are interested, the easiest way to get started is by using my TKG Demo Appliance Fling which was just recently updated to the latest TKG 1.2 release which has support for K8s v1.19 which is currently not available on vSphere with Tanzu.

Now, you might ask, would it be possible to create your own custom VM class types using vSphere with Tanzu? Well .... keep reading to find out 🙂

Disclaimer: This is not officially supported by VMware, use at your own risk. These custom changes can potentially impact upgrades or automatically be reverted upon the next update or upgrade. You have been warned.

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Automating Workload Management on vSphere with Tanzu

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As promised, here is the complimentary solution to my existing Automated vSphere with Tanzu Lab Deployment Script, which will automatically deploy and configure the required infrastructure (vCenter Server Appliance, ESXi, vSAN and HAProxy VMs) so that you can quickly jump to enabling Workload Management on your vSphere Cluster.

FYI: Ben Corrie, one of the Engineers on the vSphere with Tanzu team recently published a vSphere with Tanzu 4-Part Deep Dive video series where he walks you through in deploying everything from scratch along with the concepts that should help you better understand how vSphere with Tanzu works. He is actually doing this in his own personal homelab and thought this might be useful to share with others. Kudos Ben and highly recommend folks check out his video if you new to vSphere with Tanzu and Kubernetes.


Enabling Workload Management is a manual step after the automated deployment script and as you know, I prefer to automate as much as I can. I have updated my existing PowerCLI Workload Management Module to now also support the new vSphere with Tanzu capability using HAProxy for networking instead of NSX-T. The module can be downloaded from PowerShell Gallery by simply running

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Automated vSphere with Tanzu Lab Deployment Script

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After sharing a sneak peak of my updated vSphere with Tanzu Automated Lab Deployment script on Twitter, I have been receiving non-stop requests on when the script will be available. It took a bit longer to finish off the documentation, creating the script was actually the easy part 😛

In any case, I am happy to finally share the automated script for deploying the new vSphere with Tanzu "Basic" which is included as part of vSphere 7.0 Update 1 is now available! You can find full details at the following Github repo: https://github.com/lamw/vsphere-with-tanzu-basic-automated-lab-deployment

In addition to the deployment instructions on the Github repo, I have also included a sample walkthrough which includes both deploying the vSphere with Tanzu environment as well as enabling Workload Management on the vSphere Cluster, which is not part of the automated deployment script.

I will also be updating my existing Workload Management PowerCLI Module to incorporate the new requirements for automating the enablement of Workload Management for a vSphere with Tanzu Basic Cluster. Together with this script, you will now have the ability to deploy vSphere with Tanzu end-to-end in under 1hr time!

More details will be shared in a later blog post and I hope folks enjoy the script, it was a ton of work!