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Configuring NSX Advanced Load Balancer with Tanzu Kubernetes Grid (TKG) on VMware Cloud on AWS

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One of the exciting new features of the Tanzu Kubernetes Grid (TKG) 1.3 release is the support for NSX Advanced Load Balancer (NSX ALB) as a Layer-4 load balancer solution for your Kubernetes (K8s) based workloads. Most recently, there were a couple of customer inquiries asking whether TKG 1.3 and NSX ALB is supported on VMware Cloud on AWS (VMConAWS) and the answer is yes!


I suspect part of the reason on why this question came up is that it may have been difficult to find a clear support stance for this configuration and although there is some documentation in the AVI Portal for installing NSX ALB on VMConAWS, it certainly was not easy to find. I personally also found the instructions to a be on the lighter side after reading through a few times. Since I already had my TKG Demo Appliance Fling deployed in my VMConAWS SDDC, it was easy enough to un-deploy my existing TKG Management Cluster and set it up with NSX ALB. You can find the detailed instructions below and although the setup of NSX ALB and TKG is similiar to an on-premises vSphere deployment as recently documented by Cormac Hogan, there are still some subtle differences, especially if you are not placing both TKG and NSX ALB systems all on the same single, which you may find in demos 🙂

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How to create a custom Tanzu Kubernetes Grid (TKG) Node OVA based on Photon OS Real Time Kernel?

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One really cool feature of Tanzu Kubernetes Grid (TKG) is the ability to bring your custom images (BYOI) which can then be used to deploy TKG Workload Clusters. To do so, customers will need to use Kubernetes (K8s) Image Builder tool to author new OVA images and then make TKG aware by updating the Tanzu Kubernetes Release (TKR) Build of Materials (BOM) configuration.

I had played around with Image Builder awhile back during the TKG 1.2 release and it definitely was not very easy to use. I have been meaning to kick the tires on Image Builder again as I know with the latest 1.3.x release, there have been a number of improvements. This week I saw an inquiry from my buddy Alan Renouf who was looking to see if there was a way to use the new Photon OS Real Time Kernel as a base image for a K8s-based application that he was working with that had requirements for the real time kernel.

Interestingly enough, there was another inquiry with a similiar customer request for their edge deployment and I thought this would be a good opportunity to try out Image Builder again, which has been overhauled and the build process can be completely consumed as a Docker container, which definitely made things much easier than before. I also had never played with real time version of Photon OS, so this gave me a reason to try that out which was initially introduced with Photon OS 4.0 but it also looks like real time kernel was added to 3.0 recently, which is the version I had used to test.

Note: vSphere with Tanzu currently does not support the ability to bring your own image like TKG, I know this is something that has been asked about and is being considered in the future.

The BYOI process for TKG is comprised of two steps:

  • Create Custom TKG OVA
  • Update TKG with new TKR BOM

Although there are detailed documentation for this process, I still ran into a number of issues which I think the documentation could be improved with a complete working example rather than using generic values which lead to some interpretation, which I did not interpret correctly the first time through. After posting some questions in the Image Builder Slack Channel, I was able to finally connect the dots with the help from Scott Rosenberg, who I also knew, as a customer of our VMware Event Broker Appliance (VEBA) Fling. Putting everything together, I figure it would be useful to document the process I took and hopefully this can benefit other customers looking to build and consume their own OVA images with TKG.

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VMware Event Broker Appliance (VEBA) v0.6.1

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It has only been about two months since our jammed packed v0.6 release of the VMware Event Broker Appliance (VEBA) solution but the adoption and feedback has been extremely well received by our community. Within the first week or so, we already had a number of folks who had successfully deployed the new version and we started to see new feature enhancements as well as a couple of defects which were quickly resolved. In addition to working through the Github Issues, the team also spent quite a bit of time on creating  more example functions demonstrating how easy it is to author new Knative functions for VEBA across a number of different scripting and programming languages.

Today, we are excited to share a quick update with the release of VEBA v0.6.1 which is a dot release, but it certainly contains several new features that we believe the community can benefit from. For full change log, please refer to v0.6.1 release notes

Here are a few of the new highlighted features:

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