kubevious VS k3s

Unlike the other tools mentioned in this post, Kubevious has no way of changing the cluster state. It is intended solely as an observability tool, focusing on potential issues in your cluster. It highlights potential threats and risks for every resource you may run.

kubevious: UI tool and query the cluster with regex https://github.com/kubevious/kubevious

Project: Kubevious

In many ways, Kubevious is like many other Kubernetes Dashboard alternatives in that it provides the capability to view, edit, and maintain your configurations. However, Kubevious is going strong on one specific selling point: simplicity.

But since you asked I’ll give quick summary to the scope of the change. Prior version of Kubevious comes with a graphival view, where resources are reresented in a tree structure under namespaces and grouped in a logical group of “application”. This lets you see configmaps, services, ingresses, etc that are somehow related to this application. See here: https://github.com/kubevious/kubevious

For self-hosting I've found https://k3s.io to be really good from the SUSE people. Works on basically any Linux distro and makes self-hosting k8s not miserable.

Yes it’s going to depend on which k8s distribution you’re using. We have work in-progress for k3s to natively support nix-snapshotter: https://github.com/k3s-io/k3s/pull/9319

For other distributions, nix-snapshotter works with official containerd releases so it’s just a matter of toml configuration and a systemd unit for nix-snapshotter.

We run Kubernetes outside of NixOS, but yes the NixOS modules provided by the nix-snapshotter certainly make it simple.

K3S: is a lightweight distribution of Kubernetes that is designed for resource-constrained environments. It is an excellent option for running Kubernetes on a virtual machine or cloud server.

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.

Kubernetes - k3s distribution

I’ve created a local cluster with K3S and installing Windmill could not be simpler with just one chart to configure, which already has sane defaults to get started. For this demo we will also configure workers to passthrough environment variables to our scripts so that they have access to the Kubernetes API server for later.

You should be familiar with Kubernetes and have set up a Kubernetes cluster. I recommend k3s.

K3s' go.mod[0] is insane.

[0] https://github.com/k3s-io/k3s/blob/master/go.mod