community VS virtual-kubelet

Multiple container runtimes are supported, like conatinerd, cri-o, or other CRI compliant runtimes.

More recently, the Kubernetes SIG Network has been evolving the Gateway API to support service meshes.

https://github.com/kubernetes/kubernetes https://www.kubernetes.dev/resources/calendar/ https://github.com/kubernetes/community/blob/master/governance.md https://github.com/kubernetes/steering https://github.com/kubernetes/community/blob/master/sig-list.md

According to this doc it takes the average of CPU utilization of a pod (average across the last 1 minute) divided by the CPU requested by the pod. Then it computes the arithmetic mean of all the pods' CPU.

metrics-server has not supported kubectl top Resource Metrics API

With the Gateway API being a superset of the Ingress API, it might make sense to consolidate both. Thanks to the SIG Network community, Gateway API is still growing and will soon be production ready.

Projects in/around Kubernetes and the CNCF are generally where I spend what little time I can these days. Most communities are incredibly welcoming and provide timely feedback. But the problem space of "managing a cloud platform" can take several years to really wrap ones head around, setting aside focused topics via SIGs like networking, storage, observability, API design, etc.

Krew is a plugin manager maintained by the Kubernetes Special Interest Group (SIG) CLI community. Krew makes it easy to use kubectl plugins and helps you discover, install, and manage them on your machine. It is similar to tools like apt, dnf, or brew. Today, over 200 kubectl plugins are available on Krew - and that number is only increasing. Some projects are actively used and some get deprecated over time, but are still accessible via Krew.

[1] https://k8s.devstats.cncf.io/d/9/companies-table?orgId=1&var-period_name=Last%20decade&var-metric=contributions [2] https://kubernetes.io/releases/release/ [3] https://github.com/kubernetes/community/blob/master/governance.md [4] https://github.com/kubernetes/community/blob/master/sig-list.md

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