colima VS kind

If you don't need a GUI, the following combo works pretty well:

- https://github.com/abiosoft/colima

- https://github.com/peterldowns/localias

You might look into CoLima as a way to get started.

https://github.com/abiosoft/colima?tab=readme-ov-file

Its user interface is Docker-like, using containers.

For full desktop, I've only used the commercial app "Parallels", which can set up an Ubuntu desktop for you. Also Fedora and Alpine and Debian I believe.

But

> I don't really have any resources to share. I just know how to boot a vmlinuz with an initramfs using QEMU, and decided to download the Linux kernel source code and try compiling it.

I highly recommend working through Linux from Scratch and possibly the Gentoo Handbook. It's a journey.

I could not find any guide how to add WASM container capability to Docker running on Colima. This guide provides a few Colima templates for exactly this, which adds WasmEdge, Wasmtime and Wasmer runtime types.

Colima runs much faster on Macos: https://github.com/abiosoft/colima

After docker desktop became unusable, I jumped to colima and never looked back. I still use the docker runtime in it (the non-proprietary part) but it also supports containerd. On Mac it's just a "brew install colima" and then "colima start"

I also install the compose and ecr credentials plug-ins (since I use ecr for my container registry.) It has the full functionality of docker desktop minus the UI, which I never used anyways.

https://github.com/abiosoft/colima

On my M1 Pro system, I have nothing but positive things to say about the experience of using Colima (https://github.com/abiosoft/colima). Quick to set up and fast to use.

I'd say Lima and Colima should be enough for most use cases:

https://lima-vm.io/

https://github.com/abiosoft/colima

The bash/zsh equivalent wouldn't be too hard, but I use fish.

[0] https://github.com/abiosoft/colima, https://hn.algolia.com/?q=https%3A%2F%2Fgithub.com%2Fabiosof...

[1] https://orbstack.dev [3], https://hn.algolia.com/?q=https%3A%2F%2Forbstack.dev

[2] https://github.com/abiosoft/colima#customizing-the-vm and https://github.com/abiosoft/colima/blob/main/docs/FAQ.md#edi...

[3] I’m on OrbStack now, but it isn’t so much better at how I use Docker than Colima is that I think that it’s an instant buy, especially with the planned subscription model. If I used anything other than the Docker integration, I might think it's better, but as of right now, no.

I also have some issues with its insistence on asking for elevated permissions. I will never grant permission[4] to make a symlink to the "standard" Docker socket; context and `$DOCKER_HOST` work well enough. It should not ask if the permission hasn't been given once. I also worry about other "advanced" features that may need an elevated permissions helper[5].

[4] https://github.com/orbstack/orbstack/issues/281#issuecomment...

[5] https://github.com/orbstack/orbstack/issues/281#issuecomment... and following

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