I was looking into the different ways of installing Kubernetes in https://kubernetes.io/docs/setup/pick-right-solution/ but I'm still not sure which one is the best for me.
I have access to a testbed that can provision CENTOS 7.3 VM's through vagrant. This tesbed is basically a bare-metal environment in which the VM's are started up.
I can configure each host individually so I suppose kubeadm (https://kubernetes.io/docs/setup/independent/create-cluster-kubeadm/) would be a good way to go?
Brandon,
While the Kubernetes community supports multiple cluster deployment solutions simultaneously (mainly because there is no single best solution that will satisfy all the needs of everyone), Kubeadm (https://kubernetes.io/docs/setup/independent/create-cluster-kubeadm/) - is the right solution that we may suggest for you.
Kubeadm is a community-driven, cross-distribution cluster deployment and LCM tool, that is widely recognized as a standard way to deploy Kubernetes clusters with a wide variety of options.
Also, feel free to check the article (https://medium.com/#lizrice/kubernetes-in-vagrant-with-kubeadm-21979ded6c63) that describes the way of Kubernetes cluster deployment with Kubeadm and Vagrant.
Related
I'm looking for a way to create a live Kubernetes cluster without too much hassle.
I've got a nice HP server, which could run a few VM's with kubernetes on top. The reason for VM's is to isolate this from the host machine. Ideally, the VMs should only run containerd and kubelet and are essentially disposable for node-upgrades.
However, I get lost in what tooling would provide this. minikube? microk8s? k3s? rancher? charmed kubernetes? some existing qemu image? some existing vagrant config? The more managed it is, the better. So far I liked minikube, but it doesn't have "start on reboot" for example, nor the flexibility for node upgrades.
I have tried a lot of tools to train for the CKAD certification. For my usage, the better option for a local cluster was k3s and multipass (for online clusters, I have used Civo). Both are very fast to proceed their respective tasks, so it allows me to create clusters at will and dispose them to be able to work on clean environments.
multipass to create VM quickly
k3s which is nothing else than a lightweight kubernetes
You can find easily some tutorials to automate the creation of clusters for example:
https://betterprogramming.pub/local-k3s-cluster-made-easy-with-multipass-108bf6ce577c
https://medium.com/#yankee.exe/setting-up-multi-node-kubernetes-cluster-with-k3s-and-multipass-d4efed47fed5
https://github.com/superseb/multipass-k3s
I am already running a single master kubernetes cluster now and I am doing research about setting up Highly available Kubernetes clusters. I was thinking of Multi master cluster setup then realized self-hosted cluster might be a better option to go future ready.
Additional challenge is I am doing it in Bare Metal (Meaning, I am going to use cloud vms from these cloud provider, Hetzner, Linode, DigitialOcean and they have CSI driver, cloud controller manager etc., )
In this case, I see 2 options.
Setup with bootkube (https://github.com/kubernetes-sigs/bootkube)
Setup with kubeadm self-hosting. (https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/self-hosting/)
I assume this is still an early topic hence I am not able to find guidance to choose the right approach and then correct documentation. I need this for a scalable production environment where I will start small with at least 8 nodes and can grow faster.
Is bootkube considerable for future readiness?
or kubeadm self-hosting is still in alpha stage, am I getting into a risk running a production environment?
Any good, documentation, blog, article to go in this direction?
I use Keepalived + Haproxy and Ansible to deploy HA kubernetes cluster. Now kubeadm supports join control plane command, so it easy to integrate with ansible.
You can also refer: https://github.com/kubernetes-sigs/kubespray.
I've found a partial answer Difference between Minikube, Kubernetes, Docker Compose, Docker Swarm, etc here, but I still do not completely get it:
In my understanding, kubernetes is a container-orchestration system. However, Minikube looks very similar to me.
Can somebody explain me when you would use minikube versus when you would use minikube, and why?
I think your question should have been "Can somebody explain me when you would use minikube versus when you would use Kubernetes, and why?"
Minikube is a small and easy Kubernetes setup for your Work-PC. You can install and configure a Kubernetes cluster very easily with it. However, for a production environment it is not the best choice. Minikube normally starts a virtual machine on your PC witch will affects the performance of your cluster other than Kubernetes which will run directly with your kernel if you use linux. Furthermore, like Butuzov already answered, it is only one node, not a "real" cluster.
So you use Kubernetes if you are in a production environment where you need distributed systems and workload as well as redundancy and failure safety.
Hope that helps for your understanding.
Edit: Use cases
Minikube:
Developer or DevOps who trying to execute a complex distributed system locally for testing purposes but with deployment over Helm.
Developer or DevOps who tries to create a deployment with Helm locally.
Kubernetes (standalone):
Execute complex distributed system on production systems.
Execute heavy workload (multiple products, distributed systems) in production
minikube - is one node cluster, with a master that can get loads, with a lot of solved and automated issues. designated to test, learn things from kubernetes ecosystem.
kubernetes itself is orchestrator that can come to you as managed service with a lot of problems (pv or loadbalancers) solved or like a lego, or you will tune here and there... well thing we called production ready.
minikube is ok to learn (not always but in 90% of cases) or experiment with tiny loads.
I have tried with
minikube tool, It's a single node.
kubeadm tool, It's a multinode but single master.
I am looking for the tool which can be configure multi master kubernetes cluster in
local.
There's no tool to install a multi-master Kubernetes cluster locally as of this writing. Generally, a multi-master setup is meant for production environments and a local setup is generally far from what someone would describe as a production environment.
You can probably piece together a local installation from this and Kubernetes the Hard Way.
Kubeadm can be used to create a multi-master highly available setup. Documentation regarding this can be found # https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/high-availability/.
If you only have access to one physical machine, but want to create a multi master setup you can use manually provision several VMs and create the cluster, or you can automate everything by using tools such as Vagrant and Ansible Playbooks. Tutorials regarding this is available # https://github.com/justmeandopensource/kubernetes/tree/master/kubeadm-ha-multi-master. You can also have a look at justmeandopensource channel on youtube (https://www.youtube.com/user/wenkatn) for detailed tutorials (I used them and was of great help).
if have a limited amount of the physical machine and you want to run the setup of multiple masters you can use the LXD container to first create the VMs and use those VM containers to setup the K8s clusters.
Some of resource link : https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/ha-topology/
with kubeadm : https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/high-availability/
also as mentioned by #rico kubernetes the hard way is the ultimate thing to use : https://github.com/kelseyhightower/kubernetes-the-hard-way
here one nice tutorial link of youtube using kubeadm: https://www.youtube.com/watch?v=q92MYG-EW-w
you can also follow this github opensource repo guide : https://github.com/hub-kubernetes/kubernetes-multi-master
I am trying to install kubernetes on Self-hosted production environment running on Ubuntu 16.04. I am not able to find any helpful guide to setup production grade kubernetes master and connect worked nodes to it.
any help is much appreciated.
you can use the kubespray to self Host production environment.
https://github.com/kubernetes-incubator/kubespray
Depends on what you understand by saying "self-host". The most people think it's about deploying kubernetes in the own environment.
If you want to compare different approaches to deploy k8s in a custom environment, refer to this article which covers a bunch of options suitable for that.
If you are interested in how to set up an HA Kubernetes cluster using kubeadm, refer to this article.
However, in kubernetes, there is a different definition of "self-hosted". It means running kubernetes itself as a workload in kubernetes. If you are interested in a real self-hosted approach (on a custom environment), refer to this article
Hope this helps
You can use typhoon which can be used to provision an HA kubernetes cluster.
Here is a sample configuration which I used to bring up my own home cluster.
A few advantages of typhoon are that you have the option of choosing your choice of a cloud provider for provisioning your infrastructure, which is done using terraform and the fact that it gives you upstream k8s is a big plus too.
Internally, it uses bootkube to bring up the temporary control plane, which would consist of
api-server
controller-manager
scheduler
and then when we have the temporary control plane object, we inject the objects to the API server to have our k8s cluster.
Have a look at this kubecon talk given by CoreOS which explains how this is working.