We have aptly named our two servers as kubernetes- master and kubernetes- worker. One server will be the master node, the other will be the worker node. You may follow steps 1 to 4 of this step-by-step tutorial to help you set up your Ubuntu server on CloudSigma. For best performance, the minimum system requirements for Kubernetes are 2GB of RAM and 2 CPUs. You will need to provision two servers, running on Ubuntu 20.04. It is also advisable to first get acquainted with our tutorial on getting to know Kubernetes tool-kit basics to familiarize yourself with the basics of the Kubernetes platform. You will learn more about some defining components of Kubernetes such as kubectl and kubeadm as we go along. This is a typical real-life application of Kubernetes. To test our configuration, we will deploy a Docker container running the Nginx webserver to the cluster.
#INSTALL KUBERNETES CLUSTER HOW TO#
We will further show you how to link the two servers to allow the master node to control the worker node. You also have the option to add more worker nodes once you understand the fundamentals.
As mentioned, having two nodes is the most basic configuration when working with Kubernetes. This guide will walk you through the steps of installing and deploying a Kubernetes cluster consisting of two nodes on Ubuntu 20.04. Worker nodes are servers that run the workloads – these are typically containerized applications and services. A master node is a server that manages the state of the cluster. Keeping scalability in mind, you have the option to expand the cluster with as many worker nodes as required.Ī node in Kubernetes refers to a server. A cluster needs a minimum of two nodes to work – one master node and a worker node. A cluster is a set of hosts meant for running containerized applications and services. Kubernetes works by orchestrating and managing clusters at scale across various cloud environments or even on-premise servers. Kubernetes is an open-source tool that is crucial in container orchestration.
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