hcloud-cloud-controller-mana VS virtual-kubelet

When it comes to load balancing, I think the hcloud-cloud-controller-manager[1] is probably your best bet, and although I haven't tested it, I'm sure it can be coerced into some kind of working configuration with the vSwitch/Cloud Network coupling, even none of cluster is actually Cloud-based.

I haven't used Sidero Omni yet, but if it's as well architected as Talos is, I'm sure it's an excellent solution. It still leaves open the question of ordering and provisioning the servers themselves. For simpler use-cases it wouldn't be too difficult to hack together a script to interact with the Hetzner Robot API to achieve this goal, but if I wanted any level of robustness, and if you'll excuse the shameless plug, I think I'd write a custom operator in Rust using my hrobot-rs[2] library :)

[1] https://github.com/hetznercloud/hcloud-cloud-controller-mana...

It's not even close to major public cloud providers, but this is my setup:

* https://github.com/kube-hetzner/terraform-hcloud-kube-hetzne... (Terraform, Kubernetes bootstrap)

* Flux for CI

* nginx-ingress + Hetzner Loadbalancer (thanks to https://github.com/hetznercloud/hcloud-cloud-controller-mana...)

* Hetzner storage volumes (thanks to https://github.com/hetznercloud/csi-driver)

Kube-Hetzner supports Hetzner Cloud loadbalancers and volumes out of the box, though it also supports other components.

Speaking of k8s, anyone here know of ready-made solutions for getting XCode (i.e. xcodebuild) running in pods? As far as I'm aware, there are no good solutions for getting XCode running on Linux, so at the moment I'm just futzing about with a virtual-kubelet[0] implementation that spawns MacOS VMs. This works just fine, but the problem seems like such an obvious one that I expect there to be some existing solution(s) I just missed.

[0]:https://github.com/virtual-kubelet/virtual-kubelet/

Have you looked into virtual kubelet yet? It allows you to make a virtual node in your on-prem cluster that schedules workloads on services like AWS Fargate or Azure Container Instances.

If you are serious about implementing this yourself, you may want to look into virtual kubelet: https://virtual-kubelet.io/

I just stumbled upon this project a while back and don't have experience with it, so I don't know how well it works and what caveats you may face, but there's Virtual Kubelet, which aims to do just that, i.e. running a virtual Kubernetes node outside the cluster. Its Kip provider sounds like the thing you're looking for.

Are you looking something like the following: https://github.com/virtual-kubelet/virtual-kubelet

Kubeedge docs are light on self-justification... How does https://github.com/kubeedge/kubeedge differ from https://github.com/virtual-kubelet/virtual-kubelet or just running a regular kubelet on that edge machine?

If this sounds interesting, do check out Virtual Nodes in Azure Kubernetes Service to see how you can use them to seamlessly scale your applications to Azure Container Instances and benefit from quick provisioning of pods, and only pay per second for their execution time. The virtual nodes add-on for AKS, is based on the open source project Virtual Kubelet which is an open source Kubernetes kubelet implementation.

Use cases like these are made possible by projects like KubeEdge , K3s and Virtual Kubelets. You can read more about how they power the edge with different architectures and compromises here.

This is a complicated question to answer.

This isn't my expertise (the cluster orchestration system), but I can answer to the best of my abilities: Titus, today is a system that sits on top of Kubernetes, and uses Kubernetes components to do its thing, but we've substituted many of the systems with our own. For example, closer to my area of knowledge, we've used our own executor / provider along with the Virtual Kubelet project (https://github.com/virtual-kubelet/virtual-kubelet) instead of Kubelet.

We're exploring where we can leverage the Kubernetes ecosystem, adapt components, or help contribute changes back that others can leverage to enable our use of more COTS components of Kubernetes.

tl;dr: We're swapping out the engines while in flight