Installing Kube AI Hub on Minikube

In addition to installing Kube AI Hub on a Linux machine, you can also deploy it on minikube cluster. This tutorial demonstrates the general steps of completing a minimal Kube AI Hub installation on Minikube.

Prerequisites

• To install Kube AI Hub 3.2.1 on Minikube, your Minikube version must be v1.23.x, v1.24.x, v1.25.x.
• Make sure your machine meets the minimal hardware requirement: CPU > 2 Core, Memory > 2 GB, 20GB free disk space, Container or virtual machine manager, such as: Docker, Hyperkit, Hyper-V, KVM, Parallels, Podman, VirtualBox, or VMware Fusion/Workstation.
• A default Storage Class in your Minikube cluster needs to be configured before the installation.

Pre-checks

1. Make sure your minikube version is compatible by running minikube version in your terminal. The output may look as below:

   ❯ minikube version
   minikube version: v1.24.0
   commit: 76b94fb3c4e8ac5062daf70d60cf03ddcc0a741b
   

2. Check if the available resources in your cluster meet the minimum requirements.

   ❯ free -g
                    total        used        free      shared  buff/cache   available
   Mem:              6           2           2           0           1           3
   Swap:             0           0           0
   ## Memory > 2GB 
   ❯ lscpu
   Architecture:        x86_64
   CPU op-mode(s):      32-bit, 64-bit
   Byte Order:          Little Endian
   Address sizes:       40 bits physical, 48 bits virtual
   CPU(s):              4
   ## More than 2 CPUs
   ❯ df -h
   Filesystem      Size  Used Avail Use% Mounted on
   udev            3.4G     0  3.4G   0% /dev
   tmpfs           694M  2.6M  692M   1% /run
   /dev/sda3       198G  116G   73G  62% /             ## Available more than 20GB free disk space
   

3. Make sure your Kubectl version is compatible by running kubectl version in your minikube cluster node. The output may look as below:

   ❯ kubectl version
   Client Version: version.Info{Major:"1", Minor:"23", GitVersion:"v1.23.1", GitCommit:"86ec240af8cbd1b60bcc4c03c20da9b98005b92e", GitTreeState:"clean", BuildDate:"2021-12-16T11:41:01Z", GoVersion:"go1.17.5", Compiler:"gc", Platform:"linux/amd64"}
   Server Version: version.Info{Major:"1", Minor:"22", GitVersion:"v1.22.3", GitCommit:"c92036820499fedefec0f847e2054d824aea6cd1", GitTreeState:"clean", BuildDate:"2021-10-27T18:35:25Z", GoVersion:"go1.16.9", Compiler:"gc", Platform:"linux/amd64"}
   

   Note

   Pay attention to the Server Version line. If GitVersion shows an older one, you need to upgrade Kubectl first.

4. Check if there is a default StorageClass in your cluster. An existing default StorageClass is a prerequisite for Kube AI Hub installation.

   $ kubectl get sc
   NAME                      PROVISIONER               AGE
   glusterfs (default)       kubernetes.io/glusterfs   3d4h
   

If your Minikube cluster environment meets all the requirements above, then you are ready to deploy Kube AI Hub on your Minikube.

Video Demonstration

Deploy Kube AI Hub

After you make sure your machine meets the conditions, perform the following steps to install Kube AI Hub.

1. Start minikube.

   ❯ minikube start
   😄  minikube v1.24.0 on Debian 10.1
   🎉  minikube 1.25.2 is available! Download it: https://github.com/kubernetes/minikube/releases/tag/v1.25.2
   💡  To disable this notice, run: 'minikube config set WantUpdateNotification false'
   
   ✨  Using the docker driver based on existing profile
   👍  Starting control plane node minikube in cluster minikube
   🚜  Pulling base image ...
   🔄  Restarting existing docker container for "minikube" ...
   🐳  Preparing Kubernetes v1.22.3 on Docker 20.10.8 ...
   🔎  Verifying Kubernetes components...
       ▪ Using image gcr.io/k8s-minikube/storage-provisioner:v5
   🌟  Enabled addons: storage-provisioner, default-storageclass
   🏄  Done! kubectl is now configured to use "minikube" cluster and "default" namespace by default
   

2. Run the following commands to start installation:

   kubectl apply -f https://github.com/kubesphere/ks-installer/releases/download/v3.2.1/kubesphere-installer.yaml
   
   kubectl apply -f https://github.com/kubesphere/ks-installer/releases/download/v3.2.1/cluster-configuration.yaml
   

3. After Kube AI Hub is successfully installed, you can run the following command to view the installation logs:

   kubectl logs -n kubesphere-system $(kubectl get pod -n kubesphere-system -l 'app in (ks-install, ks-installer)' -o jsonpath='{.items[0].metadata.name}') -f
   

4. Use kubectl get pod --all-namespaces to see whether all Pods are running normally in relevant namespaces of Kube AI Hub. If they are, check the port (30880 by default) of the console by running the following command:

   kubectl get svc/ks-console -n kubesphere-system
   

5. Make sure port 30880 is opened in your security group and access the web console through the NodePort (IP:30880) with the default account and password (admin/P@88w0rd).

6. After logging in to the console, you can check the status of different components in System Components. You may need to wait for some components to be up and running if you want to use related services.

Enable Pluggable Components (Optional)

This guide is used only for the minimal installation by default. For more information about how to enable other components in Kube AI Hub, see Enable Pluggable Components.

Code Demonstration

Uninstall Kube AI Hub from Minikube

You can uninstall Kube AI Hub from your existing Minikube cluster by using kubesphere-delete.sh. Copy it from the GitHub source file and execute this script on your local machine.