community-edition VS microk8s

"They have even abandoned their Tanzu community edition." https://tanzucommunityedition.io/

Actually it is free for non-commercial use in a vSphere env up to 100 cores. For public cloud I have no idea how do they count the licenses/cores but you can give a shoot with the TKG. The TKG replaces the TCE. https://tanzucommunityedition.io

You choose to run production workloads on the community edition?

e.g. https://tanzucommunityedition.io/ has some opinions about how to set things up but there's no support contract, so I'd view it as providing guidance or defaults that are likely to work for most use-cases, similar to "I want to make a web app but i'm not already an expert with years of production experience, so i'll use a framework like django/rails/spring/etc. instead of writing free-form from scratch"

Tanzu Community Edition (https://tanzucommunityedition.io/) with "unmanaged clusters" is a fully free + OSS solution for using the cluster and package management tools of vmware's Tanzu without being locked in to other parts of the vmware stack. I honestly don't know all the details but there's a way of buying a support contract also.

You can check out TCE https://tanzucommunityedition.io/ This helps to setup in a single click with UI based deployment

Making its cluster available for many flavors through its Community Edition called TCE (Tanzu Community Edition)

Might I sugest Tanzu? https://tanzucommunityedition.io/

Tanzu Community Edition also supports vSphere/AWS - https://tanzucommunityedition.io/

Hey vnadkarni! Would be great for you to join the community on the Kubernetes Slack. Questions can also be posted in the GitHub Issues or Discussions.

If you want hands-on practice you should have a running Kubernetes cluster (I used MicroK8s for this tutorial) and Helm (see how to install on Installing Helm tutorial). It is important that you understand the basics of these tools to fully understand.

And install microk8s:

MicroK8s is a lightweight, batteries included Kubernetes distribution by Canonical designed for running edge workloads which also happens to be developer-friendly and a great choice for building your own homelab. The following lab covers how to install and run MicroK8s on your own edge node running Ubuntu 22.04 LTS, deploy the NGINX web service and exposing your NGINX website to the Internet with SSL/TLS enabled using AWS resources included within the Free Tier.

One quick and easy win I can recommend, is microk8s.

I had the same problem (and there's a github issue about this: https://github.com/canonical/microk8s/issues/2186). I swapped to k3s and the usage was half of what microk8s used.

microk8s currently has a showstopping issue that makes it guaranteed to have an irrecoverable failure in HA mode. see https://github.com/canonical/microk8s/issues/3227

k0s is better but also has a lot of bugs. it's the closest to vanilla kubernetes among all the distributions.

> like the simplest GPU support

linux users should be ready to install the nvidia device plugin. if they can't do that, they're never going to succeed in running a gpu accelerated application on their cluster anyway.

> like bootstrapping

in my experience, writing all the bootstrap scripts is painful. but now that there's chatgpt, so much of the drudgery as gone away.

MicroK8S to spin up a Kubernetes cluster

They now power my microk8s/x86 cluster (in addition to my 8-node Raspberry Pi4 ARM64 microk8s cluster), microceph cluster and my LXD cluster, and all are configured with WOL, so I can bring up the cluster from any machine in the homelab, on demand.