However, if you want to install a different underlying container runtime, you can harness the power of the Container Runtime Interface and use basically any runtime you want. The most popular and recommended one is Docker, and it’s the one we will use for the purpose of this guide. Containers in this case are not virtualised servers but rather a solution that packages code and dependencies to run a single application (service) in an isolated (containerised) environment, essentially disassociating applications from the host machine. You can manage this cluster from the command line on your kubemaster node.Įvery Kubernetes instance runs on top of a container runtime, which is software responsible for managing container operations. Once they have been installed and other configurations done, you will be able to create your first k8s cluster. The k8s installation’s three core modules: Kubelet, kubeadm, and kubectl are agents that control the node and communicate with the Kubernetes Master. We strongly recommend you only use VMs aka Cloud Servers to run Kubernetes, not system containers aka VPS, as these can cause issues with k8s.Ī node is comprised of the Kubelet, a container runtime, and the kube-proxy. A node is a VM that serves as a worker machine in your k8s cluster to host running applications. The Master is the virtual machine (VM) that administers all activities on your cluster. Got Ubuntu on your VMs? Learn How to install Kubernetes and deploy a cluster with Docker on Ubuntu 18.04Ī Kubernetes cluster consists of a Master and at least one to several worker node(s). From service discovery to auto-restarts, and from resource allocation tracking to compute utilisation and scaling a well-configured k8s cluster can manage a lot on its own. It’s the go-to way to automate the deployment, scaling, and maintenance of containerised applications across different nodes. Kubernetes ( k8s) is an open-source, cloud-native, container orchestration and management platform.
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