rd VS kind

So, please please solve this request here: https://github.com/rancher-sandbox/rancher-desktop/issues/18...

https://github.com/rancher-sandbox/rancher-desktop/releases

Then in Rancher Desktop you enable WSL integration as shown here:

If using rancher desktop: https://docs.rancherdesktop.io/tutorials/working-with-images/ https://github.com/rancher-sandbox/rancher-desktop/issues/952

> docker desktop is pretty dead now that it's got restrictive licensing etc...

It would probably be nice to hear more about why you think this is! I've certainly heard of some having to move away from Docker Desktop.

However, at the scale where you need a license (250 employees or 10 million $ in annual revenue) it's not quite as big of an issue, especially at their current pricing per seat: https://www.docker.com/pricing/

> stick to standard open source tools like Colima etc...

Sticking to open source is a great idea!

I think mentioning that Colima runs on macOS and Linux only at the moment is also a good idea: https://github.com/abiosoft/colima

A large market share of the Docker Desktop installs are Windows in particular (since it's "the one way" how most install Docker nowadays, as opposed to not really needing a GUI or the supporting tools on Linux).

In another comment I mentioned Podman Desktop as a mostly viable alternative: https://github.com/containers/podman-desktop

Then there's also Rancher Desktop as well: https://github.com/rancher-sandbox/rancher-desktop

Regardless, it's nice to see reputable orgs behind the open source projects as well, which gives a bit more credence to their chances of surviving for the years to come.

Great, then can you speak to whether rancher-desktop supports the "--platform" argument to "run" the same way that finch does?

I wouldn't mind answering it myself, but it looks like rancher-desktop is an electron something or other: https://github.com/rancher-sandbox/rancher-desktop/blob/v1.6... and even downloading the 500MB release zip shows that there's `Rancher Desktop.app/Contents/Resources/resources/darwin/lima/bin/limactl` hidden in it, but I'm a distrustful sort and I don't want to crawl through unlimited lines of typescript to find out what this is going to do to my system

Maybe it's just that I'm not the right audience for this, since I am the polar opposite of "some gui fanciness," as I came up through the docker-machine universe, and now colima, and thus have a lot more comfort debugging CLI tooling when something inevitably goes toes up

To get started, you'll need to install clusteradm and kubectl and start up three Kubernetes clusters. To simplify cluster administration, this article starts up three kind clusters with the following names and purposes:

Kind: is a tool for running local Kubernetes clusters using Docker container "nodes." It was primarily designed for testing Kubernetes itself but can also be used for local development or continuous integration.

Fortunately, just as projects like kind and Minikube enable developers to spin up a local Kubernetes environment in no time, CRC, also known as OpenShift Local and a recursive acronym for "CRC - Runs Containers", offers developers a local OpenShift environment by means of a pre-configured VM similar to how Minikube works under the hood.

I recently purchased a used Lenovo M900 Think Centre (i7 with 32GB RAM) from eBay to expand my mini-homelab, which was just a single Synology DS218+ plugged into my ISP's router (yuck!). Since I've been spending a big chunk of time at work playing around with Kubernetes, I figured that I'd put my skills to the test and run a k3s node on the new server. While I was familiar with k3s before starting this project, I'd never actually run it before, opting for tools like kind (and minikube before that) to run small test clusters for my local development work.

Features compared to https://kind.sigs.k8s.io/

Kind allows you to run a Kubernetes cluster inside Docker. This is incredibly useful for developing Helm charts, Operators, or even just testing out different k8s features in a safe way.

Check out KinD

If you're just messing around, just use kind (https://kind.sigs.k8s.io) or minikube if you want VMs (https://minikube.sigs.k8s.io). Both work on ARM-based platforms.

You can also use k3s; it's hella easy to get started with and it works great.

We'll install APIClarity into a Kubernetes cluster to test our API documentation. We're using a Kind cluster for demonstration purposes. Of course, if you have another Kubernetes cluster up and running elsewhere, all steps also work there.

yes I know there is lens, but it does not allow me to see logs of multiple pods at same time and what is even more important it is not friendly for ephemeral clusters - in my case with help of kind I am recreating whole cluster each time from scratch