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Quick Tip - How to use Apple Thunderbolt 2 ethernet adapter with ESXi 7.0 or greater

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I was doing some testing on my Apple 2018 Mac Mini with the latest ESXi 7.0 Update 1 release and I needed to setup a separate network connection as the onboard 10GbE was not working for me initially. I was out of ideas but I did remember that I still have my Apple Thunderbolt 2 to gigabit ethernet adapter which was something I had used quite a bit in the early days when I was using the Apple Mac Mini as my homelab system.

Like all recent Apple Mac's, the 2018 Mac Mini only supports Thunderbolt 3 (USB-C) ports and obviously not compatibility with the network adapter. Luckily, I did have an official Apple Thunderbolt 3 to Thunderbolt 2 adapter lying around which would allow me to connect the network adapter to the Mac Mini and to my surprise, it was automatically detected by the latest release of ESXi!


This partially came in a surprise because the Apple network adapter uses the Broadcom tg3 driver and I was not 100% sure if the native Broadcom (ntg3) would automatically claim this device since it was never officially supported.


Its definitely good to know this ethernet adapter still works as long as you have a TB2 to TB3 converter adapter and this should also work for any Intel NUC that have Thunderbolt 3 ports.

Automating kubectl-vsphere login for vSphere with Tanzu

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Before you can start deploying workloads to your vSphere with Tanzu Cluster, you need to first download the vSphere Plugin for Kubectl and then use that to login to your Supervisor Cluster which will generate a Kubernetes (K8s) context file that is stored in .kube/config

Here is an example of using the vSphere Plugin for Kubectl:

./kubectl-vsphere login --server=10.10.0.64 -u *protected email* --insecure-skip-tls-verify


For interactive sessions this is fine and upon successfully entering your password when prompted, you can switch to the correct K8s context to begin your workload deployment. For folks interested in automation, the one downside today is that the plugin does not provide a way to specify your password using either a command-line argument or reading from a configuration file.

I have actually seen this topic come up a few times both internally and externally for those wanting to automate the end to end deployment of a Tanzu Kubernetes Grid (TKG) Cluster and have gotten stuck on trying to figure a way around having to perform this required manual step.

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Using Terraform to deploy a Tanzu Kubernetes Grid (TKG) Cluster in vSphere with Tanzu 

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A few months back I saw that HashiCorp had released a new Kubernetes (K8s) Provider for Terraform, currently in Alpha state, which enable users to deploy K8s resources using the popular Infrastructure-as-Code (IaC) tool. I thought this would be pretty cool if it works with our vSphere with Tanzu solution, since the Tanzu Kubernetes Grid (TKG) Service uses ClusterAPI via a custom VM Operator to deploy TKG Guest Clusters which is just a fancy way of saying it uses K8s API to deploy more K8s 🙂

UPDATE (04/27/21) - vSphere 7.0 Update 2a has resolved the admission webhook issue and users can now deploy TKG Guest Cluster using K8s Provider for Terraform

The setting up the new K8s provider was pretty straight forward and after spending a few minutes in figuring out how to convert my existing TKG YAML to the required HCL format for Terraform to understand, I was able to to run a terraform "plan" but quickly ran into the following error:

failed: admission webhook "default.mutating.tanzukubernetescluster.run.tanzu.vmware.com" does not support dry run

It looks like our tanzukubernetescluster admission webhooks does not currently support dry run operations which can be quite useful but also common when using Terraform. I figured this was the end of that idea and I ended up just filing a feature enhancement internally for adding this support in the future as I can see this being quite useful for our customers.

After finishing up recent pet project of getting a fully functional vSphere with Tanzu on a homelab budget and just using 32GB of memory, I decided to take another look at this and discovered the required tweak to get this working was super trivial, literally a single line change.

Disclaimer: This is not officially supported by VMware, use at your own risk.

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