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Windows Laptop

Use this option only if you would like to follow this guide on your Windows Laptop with a GPU Simulator. In this setup, we will be deploying a Ubuntu 22.04 LTS VM using Multipass and install a single node Rafay MKS Kubernetes Cluster in it.

Step 1: Install Multipass

In this step, you will download and install Multipass on your Windows laptop.

  • Download the Multipass installer Multipass
  • Run the installer
  • Once installed, open the Multipass application
  • In the Multipass Catalogue, select the gear icon for Ubuntu 22.04 LTS
  • Configure the instance with a minimum of 4 CPUs, 8 GB of memory and 75 GB of disk capacity
  • Click Launch

Multipass

  • Once the launch is complete, open a command line and access the instance shell by running the following command. Be sure to update the command with the instance name
multipass shell <instance-name>

Step 2: Provision Rafay MKS Kubernetes Cluster

In this step, you will provision a Kubernetes cluster on the newly created VM.

Configuration

  • Login into your Rafay Org with Org Admin or Infra Admin privileges
  • Navigate to Infrastructure -> Clusters
  • Click New Cluster
  • Select Create a New Cluster and click Continue

Import

  • Select Data Center/ Edge -> Linux Installer -> Upstream Kubernetes
  • Enter a cluster name
  • Click Continue

Import

  • Select Ubuntu22.04 for the operating system
  • Click Continue

Import

Prerequisites

The installer requires the "bzip2" package installed on the Ubuntu VM. Install the bzip2 package using the command shown below 

sudo apt-get install bzip2

Node Configuration and Cluster Provisioning

  • Copy the conjurer installer command and execute it on your node. Users are strongly recommended to perform a preflight check before installation.
  • Approve the "discovered" node
  • Configure the node and enable the "master" and "storage" roles
  • Provision Rafay MKS Kubernetes

Info

The cluster provisioning process involves downloading and installing multiple software packages and can take 20-30 mins to complete.

Once successfully provisioned, the Rafay MKS Kubernetes cluster should look like the image below.

Rafay MKS Kubernetes Cluster