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How to fix "extensions/v1beta1" & missing required field "selector" for Yelb Kubernetes application? 

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As you can see from my recent tweets, I have been spending some time with Kubernetes Cluster API (CAPI) and specifically Cluster API Provider vSphere (CAPV) and deploying upstream Kubernetes (K8s) running on VMware Cloud on AWS 🙂

After successfully deploying my first K8S Workload Cluster, I knew the first k8s application that I had to deploy on my shiny new K8s Cluster was Massimo Re Ferre' and Andrea Siviero famous "Yelb" application which I had demonstrated several years ago running on VMware PKS. In fact, I had even deployed it recently (late last year) in one of my Project Pacific cluster without any issue, so I was surprised when I ran into some challenges as you can see from the title of the blog post.

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Project Pacific - Workload Evolution in vSphere 

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Project Pacific was definitely one of the most exciting and most talked about announcement at this past VMworld. In case you missed the big news, check out this quick snippet of the Day 1 Keynote where Pat Gelsinger and Joe Beda (one of the co-creators of Kubernetes, now at VMware) introduces Project Pacific to the world.


If you ask most folks what Project Pacific is about, they would probably answer something with Kubernetes and Containers in vSphere, which is a fair assessment, especially as Kubernetes was probably mentioned once or twice during the conference 😉

However, Project Pacific is actually more than just Kubernetes but with all the new lingo like Supervisor and Guest Clusters, one can easily get lost in the implementation or what I would refer to as the "how" part of Project Pacific. If you ask me, the "why" part is much more significant and Project Pacific is fundamentally re-defining what and how to deploy a workload in vSphere.

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Running sk8s (Simple Kubernetes) on VMC with an AWS Elastic Load Balancer

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Last week I wrote about a really nifty Virtual Appliance called sk8s which can be used to quickly setup a Kubernetes (k8s) cluster for development and testing purposes. If you have not checked out that article, be sure to give that a read first to get the full context. As mentioned in the previous article, sk8s runs great on any vSphere deployment but it can also run on VMware Cloud on AWS (VMC) which adds an additional capability where an AWS Elastic Load Balancer (ELB) can automatically be provisioned and configured to front-end the k8s control plane as part of the deployment for external access.

The nice benefit of this is that you only need to configure access to the ELB and not directly to the underlying VMs running within the SDDC, both simplifying the setup but also reducing the need to expose the VMs directly to the internet. The write-up below is similar to that of the previous article, but it does expand into greater detail when deploying to VMC and all the required configuration changes within the VPC using the AWS Console and the Network and Security changes using the VMC Console.

Note: If you decide to use the integrated AWS ELB integration, please be aware that you will be charged for the consumption. For pricing, please see the AWS documentation here.

Prerequisites:

  • Access to the VMC Console and VMC SDDC
  • NSX-T Logical Network with DHCP enabled
  • AWS Access & Secret Key for automatically creating ELB (Optional)
  • govc

Step 1 - Install govc on your local desktop which has access to your VMC vSphere environment. If you have not installed govc, the quickest way is to simply download the latest binary, below is an example of installing the latest MacOS version:

curl -L https://github.com/vmware/govmomi/releases/download/v0.20.0/govc_darwin_amd64.gz | gunzip > /usr/local/bin/govc
chmod +x /usr/local/bin/govc

Step 2 - We need to verify a few settings in the AWS Console to ensure that the VPC that is connected to your SDDC is properly configured so that the provisioning of the ELB will be successful.

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