I can use auto-scaler in local minikube, but after deploying to ubuntu in aws cloud, I used the same command, the auto-scaler can not reduce the pod automatically.
In local minikube, in order to user auto-scaler, I have to install heapster, may I ask in order to run in cloud ubuntu, what do I need to install so as to make auto-scaler working?
Thanks
heapster is now depracted : https://github.com/kubernetes-retired/heapster
To enable auto-scaling on your cluster you can use HPA(horizontal pod auto-scaler) and you can also install metrics server to check all metrics.
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I'm considering to register a kubernetes cluster in Rancher. After that, how should I handle coming kubernetes upgrades? Can they be handled by Rancher itself?
I only found information about upgrading a k3s registered cluster.
You should be able to do it from the cluster view (if your cluster was installed via rancher) as documented:
From the Global view, find the cluster for which you want to upgrade Kubernetes. Select ⋮ > Edit.
Expand Cluster Options.
From the Kubernetes Version drop-down, choose the version of Kubernetes that you want to use for the cluster.
Click Save.
I'm testing with a small k8s cluster and ceph cluster to create and assign persistent volumes. Ceph cluster version is Nautilus and the machines in k8s cluster are ubuntu 20.04. As far as I understand, I can't install ceph nautilus common packages on Ubuntu 20.04. Is it possible to install Ceph Octopus common packages on the machines and connect them to a Nautilus cluster?
Yes, you can connect to a nautilus cluster with a client in versions of both octopus and pacific.
Edit: nevermind, I was wrong.
It depends of what you intend to do.
Obviously yes, an octopus client can connect to a nautilus cluster.
Though if you're looking to setup dynamic volume provisioning, nowadays you would need CSI (ceph-csi on github). And then, I think you need an octopus cluster at least.
I'm setting up a bare-metal hypervisor with VMware ESXi on a local server which will have a kubernetes cluster.
Should I use Linux containers with LXD to set up my Kubernetes cluster? or should I use several VMs that I can provide with my VMware hypervisor?
I'm not sure what you are referring to by using LXD to set up your Kubernetes cluster. Kubernetes doesn't officially support LXC/LXD.
So, you can use several VMs for your Kubernetes control (masters) and data planes (nodes). You can either use straight docker or any containerd or cri-o as shims to run your container runtime.
In any case, most of this stuff is already set up by the deployment tools like:
kubespray
kubeadm
kops
Vendor offerings (EKS, GKS, AKS, etc)
etc
If you are looking for something more minimal you can try:
minikube
kind
microk8s
K3s
I running docker desktop with kubernetes option turned on. I have one node called docker-for-dektop.
Now i have created a new ubuntu docker container. I want to add this container to my kubernetes cluster. Can be done? how can i do it?
As far as I'm aware, you cannot add a node to Docker for Desktop with Kubernetes enabled.
Docker for Desktop is a single-node Kubernetes or Docker Swarm cluster, you might try using kubernetes-the-hard-way as this explains how to setup a cluster and add nodes manually without the use of kubeadm.
But I don't think this might work as there will be a lot of issues with setting up the network to work correctly.
You can also use the instructions on how to install kubeadm with kubelet and kubectl on Linux machine and adding a node using kubeadm join.
I have MiniKube running on my Windows 10 machine. I would like to add an additional node to the cluster.
I have a Centos VM running on a different host that has k8s installed. How to I get the kubectrl join command to run on the VM from the master node running on my Windows machine?
Do I need to install an overlay network on the MiniKube VM? Or is one already installed?
Minikube is officially single-node at the moment. There's a discussion about this limitation at https://github.com/kubernetes/minikube/issues/94 But it seems people have found ways to do it with VirtualBox and there are other ways to run a multi-node cluster locally. Otherwise I'd suggest creating a cluster with one of the cloud providers (e.g. GKE).