hetzner-k3s VS k3d

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 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

If you are a developer and want to learn how to deploy applications to a cluster, getting a cluster up an running can be a daunting task in it's own rights. There are many ways to do it: spinning up local virtual machines and configuring from scratch or using tools like minikube, etc. You may not care for the pain of setting up and configuring a cluster, and if that is you, then the quickest way that I have found is using k3d.