hetzner-k3s VS k3d

Also highly recommended https://github.com/vitobotta/hetzner-k3s

This is with the new version not yet released of my tool https://github.com/vitobotta/hetzner-k3s.

It uses k3s as Kubernetes flavor and Hetzner Cloud as provider. For this test I used extremely high concurrency so the tool hung twice of the process because I was hitting the Hetzner API too hard, so I had to interrupt it again and continue.

Excluding the time it paused/hubg due to the API, I calculated around 11 minutes total for the cluster creation. This includes:

- creating all the resources (cloud instances, firewall, load balancer for the Kubernetes API)

Try my project Hetzner-K3s, it’s by far the easiest and quickest way to create and manage clusters in Hetzner cloud. https://github.com/vitobotta/hetzner-k3s

Hi all, if you already use Kubernetes in any capacity or are you interested in it, would you mind spending a few minutes voting in a quick poll and hopefully answering a few questions? I would appreciate your help a ton because it would help me make the right decision and hopefully avoid a costly waste of time.

Everything is in a Github discussion at https://github.com/vitobotta/hetzner-k3s/discussions/296. A huge thank you in advance if you can help with this!

The new release introduces more customisation options for cluster/service CIDRs, cluster DNS, updated manifests for CSI/CCM/autoscaler, and a couple of improvement for creating large clusters. Check it out at https://github.com/vitobotta/hetzner-k3s

If you are already familiar with this tool, I'd love to know how it's worked for you so far. :)

https://github.com/vitobotta/hetzner-k3s

Kubernetes on Hetzner Cloud the easiest way

There’s this cool GitHub project that helps automate a lot of the process for K3s on Hetzner: https://github.com/vitobotta/hetzner-k3s

If you are willing to leave AWS in order to save a lot of money, you have an option in https://github.com/vitobotta/hetzner-k3s

k3d is irreplaceable when we want quickly and cheaply test Kubernetes Alpha features. All we need to do is to pass the correct feature gate to the correct control plane component.

You can use any other cloud or create a local Kubernetes cluster using minikube, k3d or kind.

K3D: is a lightweight distribution of Kubernetes designed for resource-constrained environments. It is an excellent option for running Kubernetes on virtual machines or cloud servers.

k3d is a lightweight wrapper that makes running Kubernetes (specifically, the lightweight k3s distribution) in Docker straightforward and efficient. It's designed to provide developers with a quick and easy way to test Kubernetes without the overhead of setting up a full cluster.

If you customer prefers to run the standard docker engine you could use k3d

You don’t need to run Rancher from a Kubernetes cluster, the rancher/rancher image works fine with Docker (it uses k3d, aka « k3s in docker » : https://k3d.io/).

K3d and Skaffold for local development