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Introducing VMware Tanzu Community Edition (TCE) - Tanzu Kubernetes for everyone!

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A very exciting new project was just announced at the DevOps Loop Conference called Tanzu Community Edition or TCE for short.

What is TCE and why should you care?

Today, it can be challenging for end users (administrators, architects, developers, platform operators, etc.) to get first hand experience with VMware's Tanzu portfolio. Some of the challenges can include downloading the software, licensing the software and having the required resources to run the software.

TCE aims to provide a frictionless experience for anyone that wants to get hands with an enterprise grade Kubernetes platform, that is fully featured with our Tanzu commercial offerings. TCE is easy to use, freely available for anyone to download and use for learning, testing, development and pre-production purposes.

In addition, TCE also includes newer features that are not found in the Tanzu commercial offering (yet) and early experimental features that the community will be the first to try out! As features further develop and mature based on feedback from the community, they will eventually graduate into our commercial offerings.
Not only does TCE provide access to the same commercial offering of our Kubernetes runtime called Tanzu Kubernetes Grid (TKG), but it also includes additional packages that can be optionally installed that can help with building, managing, deploying and running modern applications and services.

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Exploration of Tanzu Kubernetes Grid (TKG) multi-vCenter Server templating using YTT

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The motivation behind this blog post originates from a really cool blog post by Mike Brown who shared an interesting Telco use case for wanting to running Tanzu Kubernetes Grid (TKG) on VMware Cloud on AWS (VMConAWS) and centrally managing TKG Workload Clusters, which would run at each individual Edge/Cell Site location.

While reading through Mike's blog post, I noticed one of the steps was to edit the generated YAML from the TKG Management Cluster which would then be used to deploy the individual TKG Workload Clusters. This would need to happen for each new deployment 😮 and of course, this could be very error prone and frustrating for end users. Here is an example of what the YAML file looks like which is over 1K+ lines!

This screams for automation and I had been looking for a reason to try out YTT again, which is a YAML templating tool that is part of the open source project Carvel. Although I had played with YTT before, it did not feel intuitive, especially for a new user who was trying to solve a quick problem. I figured this was my opportunity to take another look at YTT.

After a couple of hours and a lot of trial/error, I ended up with a partial solution and realized that I would not be able to figure this out given there were even more complicated sections within the YAML. I felt the bar to getting started with YTT was still too high and it may not be the right tool for this particular situation. I opted for a quicker solution using sed, which I had experience with before, but I also know that depending on the problem, sed can be just as complex and I also dislike regular expressions  🙂

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Packer reference for VMware Harbor Virtual Appliance

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I recently had a need to setup a container registry for a project that I was working on and Harbor was of course my default choice. Although Harbor is pretty easy to setup, I did not want to manually go through the installation each time I needed Harbor and I figured it was time to build my own Harbor Virtual Appliance (OVA), just like I have shown in the past with these reference implementations here and here.

For those interested, you can find the reference implementation for building a Harbor Virtual Appliance at https://github.com/lamw/harbor-appliance

Note: For internal VMware Employees, if you prefer not to build the appliance yourself, drop me an email or DM and I can provide you with the link to the Harbor Appliance OVA.

When deploying the Harbor Appliance, you will find the basic OVF properties that I have encoded including networking, credentials, debugging and advanced settings. Hopefully should be pretty straight forward for anyone who has deployed an OVA before to vSphere.

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