cluster-api-provider-hetzner VS cluster-api

Hetzner Cloud is officially supported, but that means setting up VPSs in Hetzner's Cloud offering, whereas this project was intended as a more or less independent pure bare-metal cluster. I see they offer Bare Metal support as well, but I haven't dived too deep into it.

I haven't used KubeOne, but I have previously used Syself's https://github.com/syself/cluster-api-provider-hetzner which I believe works in a similar fashion. I think the approach is very interesting and plays right into the Kubernetes Operator playbook and its self-healing ambitions.

That being said, the complexity of the approach, probably in trying to span and resolve inconsistencies across such a wide landscape of providers, caused me quite a bit of grief. I eventually abandoned this approach after having some operator somewhere consistently attempt and fail to spin up a secondary control plane VPS against my wishes. After poring over loads of documentation and half a dozen CRDs in an attempt to resolve it, I threw in my hat.

Of course, Kubermatic is not Syself, and this was about a year ago, so it is entirely possible that both projects are absolutely superb solutions to the problem at this point.

For anyone interested in Kubernetes on Hetzner, there's a really interesting CAPI provider being actively developed:

https://github.com/syself/cluster-api-provider-hetzner

Just a hint running ML Workloads on Hetzner is pretty cheap! You could use for managing k8s: https://github.com/syself/cluster-api-provider-hetzner

we (Syself) release Cluster-API Provider Hetzner v1.0.0-beta.16.

ah okay they come from the upstream cluster-api project. The caph project implements only the infrastructure provider part of Cluster API.

you can easily use it with https://github.com/syself/cluster-api-provider-hetzner

I would use cluster-api-provider-hetzner from Syself.

In this blog post, we will demonstrate how easy and fast it is to deploy Sveltos on an RKE2 cluster with the help of ArgoCD, register two RKE2 Cluster API (CAPI) clusters and create a ClusterProfile to deploy Prometheus and Grafana Helm charts down the managed CAPI clusters.

4. Having moved to a container orchestrator, all of my nodes are immutable. Hardware and VM instances _can_ be born magically into existence. Nearly all infra providers support [cluster-api](https://cluster-api.sigs.k8s.io/). Network infrastructure can now be managed with TF, so I go that route.

## Linux curl -L https://github.com/kubernetes-sigs/cluster-api/releases/download/v1.4.4/clusterctl-linux-amd64 -o clusterctl sudo install -o root -g root -m 0755 clusterctl /usr/local/bin/clusterctl ## Mac brew install clusterctl

Did you ever try CAPI? https://github.com/kubernetes-sigs/cluster-api

You might find interesting the capi-rancher-import k8s operator we use in Sylva, it would adopt in Rancher server the Cluster API created k8s clusters (with bootstrap provider kubeadm or even rke2 - you can lookup CAPBR for the latter). I understand your clusters are not created by Cluster API, so if you could move the workloads/resources to new clusters created by Cluster API, this can come handy. (Adoption of non-CAPI clusters into CAPI is not yet a standard practice, more in https://github.com/kubernetes-sigs/cluster-api/issues/7776)

Most of the comments have mentioned older tools like kubespray, Ansible, Rancher etc. I would suggest the cloud native way using ClusterAPI or use a tool that relies on ClusterAPI in the backend called Talos

Cluster API

Sveltos is a powerful open source project that makes managing Kubernetes add-ons a breeze. It automatically discovers ClusterAPI powered clusters and allows you to easily register any other cluster (like GKE). Then, it seamlessly manages Kubernetes add-ons across all your clusters.