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sk8s - Simple Kubernetes (k8s) Virtual Appliance

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I recently had a need for a for a basic Kubernetes (k8s) Cluster which I also needed to have running locally in my vSphere Home Lab for testing purposes. I know there are a number of great blog articles out there that shows you how to setup your own k8s from scratch, including a recent blog series from Myles Gray. However, I was looking for something quick that I could consume without requiring any setup. To be honest, installing your own k8s from scratch is so 2017 😉

If you ask most people, they simply just want to consume k8s as an integrated solution that just works and not have to worry about installing and managing the underlying components that make up k8s. VMware PKS and PKS Cloud are two great examples of this where Pivotal and VMware provides a comprehensive solution (including Software Defined Networking) for managing the complete lifecycle (Day 0 to Day N) for running Enterprise K8s, whether that is within your own datacenter or running as a public cloud service. For my exploratory use case, PKS was overkill and I also did not have the required infrastructure setup in this particular environment, so I had to rule that out for now.

While searching online, I accidentally stumbled onto a recent VMware Open Source project called sk8s, short for Simple Kubernetes (k8s) which looked really interesting. At first glance, a few things stood out to me immediately. This project was created by none other than Andrew Kutz, for those not familiar with Andrew's work, he famously created the Storage vMotion UI plugin for the vSphere C# Client before VMware had native UI for the feature. He was also the creator of the first vCenter Simulator back in the day called simDK that was also widely used by a number of customers including myself. I knew Andrew had joined our Cloud Native Business Unit (CNABU), but I was not sure what he was up to these days, guess I now know 🙂 and is helping both VMware and the OSS community in k8s development.

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Common PowerCLI examples for VM Provisioning in VMware Cloud on AWS

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One of the huge benefits of VMware Cloud on AWS (VMC) is not only the ability to extend your existing on-premises environment and tap into the potentially unlimited capacity of the Cloud, but customers can continue to use the existing tools and scripts that they are already familiar with. When it comes to Automation, PowerCLI is still by far the most popular tool that our customers uses on a regular basis. With VMC, this is no different as the SDDC is simply made up of vSphere, vSAN and NSX which PowerCLI fully supports.

One learning curve that I have seen for some customers when working with VMC is around general provisioning and the implication of the restrictive permission model in VMC. Unlike your on-premises vSphere environment, in VMC, you are no longer running as a vSphere Administrator but rather a Cloud Administrator. This simply means you no longer have to worry about managing the underlying infrastructure (patch, upgrade, monitor, etc) and you get to focus deploying and managing your workloads.

What this technically translates to is that you are restricted to a particular part of the vSphere Inventory where you have permissions to actually deploy workloads. This is to help isolate your workloads and ensure that you do not negatively impact the VMware Management VMs by accident and thus affecting your SDDC.

  • From the Hosts/Clusters view, you must use the Compute-ResourcePool
  • From the VM view, you must use the Workloads Folder
  • From the Datastore view, you must use the WorkloadDatastore


When using the vSphere UI to deploy new workloads, the UI does a really good job of guiding you towards the right inventory objects, but this may not always be apparent when using the CLI or API, especially for new folks or folks who never use the UI 😉

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Quick Tip - Import OVF/OVA as VM Template using OVFTool 4.3 Update 1

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OVFTool is an extremely versatile command-line utility for importing and exporting Virtual Machines to and from the OVF/OVA format and it supports a number of VMware platforms including VMware Cloud on AWS (VMC), vSphere (vCenter Server and ESXi), Fusion, Workstation, Player and even vCloud Director (vCD).

An infrequent asks that I have seen from customers is the ability to deploy an OVF/OVA as a VM Template rather than just a Virtual Machine in a vSphere-based environment. OVFTool has had the ability to deploy to vAppTemplate for vCD-based environments, so it would make sense to also support vCenter Server VM Templates as well. Today, the workflow is a two-step process, deploy the OVF/OVA and then use the vSphere API to convert the VM to a VM Template.

With the latest OVFTool 4.3 Update 1 which was a minor release last year, we now have a new parameter called importAsTemplate which will allow customers to easily import an OVF/OVA directly into as a VM Template. Below is a quick sample using this new option and I am deploying to a VMC-based environment (see this article for requirements when using OVFTool with VMC)

ovftool.exe `
--acceptAllEulas `
--allowAllExtraConfig `
--name=PhotonOS-Template `
--datastore=WorkloadDatastore `
--net:None=sddc-cgw-network-1 `
--vmFolder=Templates `
--importAsTemplate `
C:\Users\william\Desktop\photon-hw13_uefi-3.0-49fd219.ova `
'vi://*protected email*@vcenter.sddc-a-b-c-d.vmwarevmc.com/SDDC-Datacenter/host/Cluster-1/Resources/Compute-ResourcePool/'

Once the upload has completed, we can take a look at our vSphere UI and see that our imported OVA been automatically been converted to a VM Template!