JupyterHub ด้วย Kubernetes บน Windows

  1. ติดตั้ง kubectl บน Windows
  2. ติดตั้ง minikube บน Windows
  3. ติดตั้ง helm
  4. ติดตั้ง JupyterHub

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ติดตั้ง Kubernetes บน Windows

1.ติดตั้ง kubectl บน Windows

Require Docker 18.09 or higher

ติดตั้งด้วย Chocolatey

เปิด PowerShell (Run as administrator)

Set-ExecutionPolicy Bypass -Scope Process -Force; [System.Net.ServicePointManager]::SecurityProtocol = [System.Net.ServicePointManager]::SecurityProtocol -bor 3072; iex ((New-Object System.Net.WebClient).DownloadString('https://chocolatey.org/install.ps1'))
choco install kubernetes-cli

ตรวจสอบว่าติดตั้งเรียบร้อยมั๊ย

>kubectl version --client
Client Version: version.Info{Major:"1", Minor:"21", GitVersion:"v1.21.2", GitCommit:"092fbfbf53427de67cac1e9fa54aaa09a28371d7", GitTreeState:"clean", BuildDate:"2021-06-16T12:59:11Z", GoVersion:"go1.16.5", Compiler:"gc", Platform:"windows/amd64"}

ไปที่ home directory

cd ~

สร้างไดเร็กทอรี่ .kube 

mkdir .kube

สร้างไฟล์ .kube/config

Verify kubectl configuration

> kubectl cluster-info

ถ้าได้แบบนี้ก็ ok

Kubernetes control plane is running at https://127.0.0.1:62648
CoreDNS is running at https://127.0.0.1:62648/api/v1/namespaces/kube-system/services/kube-dns:dns/proxy

To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.

แต่ถ้าได้แบบนี้ แสดงว่ายังไม่ได้สั่ง minikube start

To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.
Unable to connect to the server: dial tcp [::1]:8080: connectex: No connection could be made because the target machine actively refused it.

เปิด browser ไปที่ https://127.0.0.1:62648 จะได้

{
  "kind": "Status",
  "apiVersion": "v1",
  "metadata": {
    
  },
  "status": "Failure",
  "message": "forbidden: User \"system:anonymous\" cannot get path \"/\"",
  "reason": "Forbidden",
  "details": {
    
  },
  "code": 403
}

แปลว่า ok ใช้ได้ เพราะยังไม่ได้ authen

kubectl cluster-info dump
kubectl describe service kubernetes
> kubectl proxy
Starting to serve on 127.0.0.1:8001

2.ติดตั้ง minikube บน Windows

ลง Kubernetes ผ่าน Minikube

ดาว์นโหลด minikube-installer.exe และติดตั้ง

Start your cluster เปิด cmd ด้วยสิทธิ admin (Run as administrator)

minikube start


Interact with your cluster

If you already have kubectl installed, you can now use it to access your shiny new cluster:

kubectl get po -A

แสดง dashboard

minikube dashboard

LoadBalancer deployments

To access a LoadBalancer deployment, use the “minikube tunnel” command. Here is an example deployment:

kubectl create deployment balanced --image=k8s.gcr.io/echoserver:1.4  
kubectl expose deployment balanced --type=LoadBalancer --port=8080

In another window, start the tunnel to create a routable IP for the ‘balanced’ deployment:

minikube tunnel

To find the routable IP, run this command and examine the EXTERNAL-IP column:

kubectl get services balanced

Manage your cluster

minikube pause
minikube stop
minikube addons list

3.ติดตั้ง helm

ติดตั้ง helm ด้วย Chocolatey

choco install kubernetes-helm

ตรวจสอบ

helm version

4.ติดตั้ง JupyterHub

Initialize a Helm chart configuration file ด้วยการสร้างไฟล์ config.yaml

เช่นสร้างไว้ที่ C:\helm\config.yaml แล้วใส่ข้อความ (ใน comment) ตามนี้

# This file can update the JupyterHub Helm chart's default configuration values.
#
# For reference see the configuration reference and default values, but make
# sure to refer to the Helm chart version of interest to you!
#
# Introduction to YAML:     https://www.youtube.com/watch?v=cdLNKUoMc6c
# Chart config reference:   https://zero-to-jupyterhub.readthedocs.io/en/stable/resources/reference.html
# Chart default values:     https://github.com/jupyterhub/zero-to-jupyterhub-k8s/blob/HEAD/jupyterhub/values.yaml
# Available chart versions: https://jupyterhub.github.io/helm-chart/
#

ติดตั้ง JupyterHub

helm repo add jupyterhub https://jupyterhub.github.io/helm-chart/
helm repo update

จะเห็น output ประมาณนี้

Hang tight while we grab the latest from your chart repositories...
...Skip local chart repository
...Successfully got an update from the "stable" chart repository
...Successfully got an update from the "jupyterhub" chart repository
Update Complete. ⎈ Happy Helming!⎈

Now install the chart configured by your config.yaml by running this command from the directory that contains your config.yaml:

helm upgrade --cleanup-on-fail \
  --install <helm-release-name> jupyterhub/jupyterhub \
  --namespace <k8s-namespace> \
  --create-namespace \
  --version=<chart-version> \
  --values config.yaml

เช่น

helm upgrade --cleanup-on-fail --install jhub jupyterhub/jupyterhub --namespace jhub --create-namespace --version=1.0.0 --values config.yaml

While Step 2 is running, you can see the pods being created by entering in a different terminal:

kubectl get pod --namespace jhub

Wait for the hub and proxy pod to enter the Running state.

NAME                    READY     STATUS    RESTARTS   AGE
hub-5d4ffd57cf-k68z8    1/1       Running   0          37s
proxy-7cb9bc4cc-9bdlp   1/1       Running   0          37s

Find the IP we can use to access the JupyterHub. Run the following command until the EXTERNAL-IP of the proxy-public service is available like in the example output.

kubectl get service --namespace <k8s-namespace>

NAME           TYPE           CLUSTER-IP      EXTERNAL-IP     PORT(S)        AGE
hub            ClusterIP      10.51.243.14    <none>          8081/TCP       1m
proxy-api      ClusterIP      10.51.247.198   <none>          8001/TCP       1m
proxy-public   LoadBalancer   10.51.248.230   104.196.41.97   80:31916/TCP   1m

เช่น

kubectl get service --namespace jhub

ถ้าไม่เห็น EXTERNAL-IP เปิดอีก cmd แล้วรัน

minikube tunnel

ถ้าอยากดูรายละเอียด

>kubectl describe service proxy-public --namespace jhub

เปิด browser ไปที่ EXTERNAL-IP