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IT Admins can be a key enabler to an organizations App Modernization efforts

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Whether you call it Digital Transformation, Digital First, Application Modernization (App Modernization) or some other fancy name, the fact of the matter is, almost every single business is going through some form of transformation to become more competitive in this new digital era. According to a recent survey by VMware, 91% of executives agree their major app initiative in 2021 is to migrate and modernize legacy apps. While this transformation has been going on for some time, the COVID-19 global pandemic has certainly super charged its acceleration and is now a critical imperative for many organizations to be able to create and deliver new digital experiences for their end users.

As part of my role within the VMware Cloud team, I have been taking a closer look at how some of our customers are thinking about their App Modernization strategy and to better understand their overall plan and thought process. With some of the recent customer conversations that I have had, many organizations are just starting their App Modernization journey and one of the challenges that I have observed is simply where and how to get started. There are certainly many different factors that can affect or even slow down these initiatives including organizational structure, tension between lines of businesses, development, operations and IT teams. However, before an organization can decide what application/services they are interested in modernizing, they need to first have a complete understanding of their current application estate.

This understanding is critical before an organization can determine the appropriate modernization strategy (Retain, Rehost, Replatform, Refactor or Retire) for a given application.


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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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