Zero to JupyterHub with Kubernetes 下篇 - Jupyterhub on k8s

前言：纯个人记录使用。

• 搭建 Zero to JupyterHub with Kubernetes 上篇 - Kubernetes 离线二进制部署。
• 搭建 Zero to JupyterHub with Kubernetes 中篇 - Kubernetes 常规使用记录。
• 搭建 Zero to JupyterHub with Kubernetes 下篇 - Jupyterhub on k8s。

官方文档：Zero to JupyterHub with Kubernetes

**版本对应：**This documentation is for Helm chart version 2.0.0 that deploys JupyterHub version 3.0.0 and other components versioned in hub/images/requirements.txt. The Helm chart requires Kubernetes version >=1.20.0 and Helm >=3.5

组件	版本
kubernetes	v1.20.4
jupyterhub-chart	2.0.0
helm	v3.12.3

第一部分: Setup Kubernetes

1、Setup Kubernetes

kubernetes-v1.20.4 离线二进制部署

[root@k8s-master /data/s0/kubernetes]$ kubectl version --short
Client Version: v1.20.4
Server Version: v1.20.4

2、Setting up helm

通过百度网盘分享的文件：helm-v3.12.3-linux-amd64.tar.gz
链接：https://pan.baidu.com/s/1f8xONKHWshHxieu7jEN4yA
提取码：1234

# 解压安装
[root@k8s-master /data/s0/kubernetes/helm]$ tar -xzvf helm-v3.12.3-linux-amd64.tar.gz
[root@k8s-master /data/s0/kubernetes/helm]$ ln -s /data/s0/kubernetes/helm/linux-amd64/helm /usr/local/bin
# 验证
[root@k8s-master /data/s0/kubernetes/helm]$ helm version
version.BuildInfo{
   
   Version:"v3.12.3", GitCommit:"3a31588ad33fe3b89af5a2a54ee1d25bfe6eaa5e", GitTreeState:"clean", GoVersion:"go1.20.7"}

第二部分: Setup JupyterHub

1、Installing JupyterHub

1.1 下载所需jupyterhub chart版本

​ JupyterHub’s Helm chart 仓库 --> jupyterhub-2.0.0.tgz

通过百度网盘分享的文件：jupyterhub-2.0.0.tgz
链接：https://pan.baidu.com/s/1ZrEHC9al29ye7n0W3UAi3g
提取码：1234

1.2 下载相关离线镜像

# 解压安装
[root@k8s-master /data/s0/kubernetes/helm]$ tar -xzvf jupyterhub-2.0.0.tgz   # jupyterhub chart 
# 查看所需镜像
[root@k8s-master /data/s0/kubernetes/helm]$ cat jupyterhub/Chart.yaml
annotations:
  artifacthub.io/images: |
    - image: jupyterhub/configurable-http-proxy:4.5.3
      name: configurable-http-proxy
    - image: jupyterhub/k8s-hub:2.0.0
      name: k8s-hub
    - image: jupyterhub/k8s-image-awaiter:2.0.0
      name: k8s-image-awaiter
    - image: jupyterhub/k8s-network-tools:2.0.0
      name: k8s-network-tools
    - image: jupyterhub/k8s-secret-sync:2.0.0
      name: k8s-secret-sync
    - image: jupyterhub/k8s-singleuser-sample:2.0.0
      name: k8s-singleuser-sample
    - image: k8s.gcr.io/kube-scheduler:v1.23.10  # helm upgrate 启动部署时，此版本有问题，改为v1.20.15，注意values.yaml中镜像名称修改，镜像保持一致
      name: kube-scheduler
    - image: k8s.gcr.io/pause:3.8  # 部署k8s时已下载安装，注意values.yaml中镜像名称修改，保持一致
      name: pause
    - image: k8s.gcr.io/pause:3.8
      name: pausd
    - image: traefik:v2.8.4
      name: traefik
      
# 联网保存本地镜像
# 1. 下载保存 jupyterhub/configurable-http-proxy:4.5.3
> docker pull quay.io/jupyterhub/configurable-http-proxy:4.5.3
> docker tag quay.io/jupyterhub/configurable-http-proxy:4.5.3 jupyterhub/configurable-http-proxy:4.5.3
> docker save -o configurable-http-proxy:4.5.3.tar jupyterhub/configurable-http-proxy:4.5.3  

# 2. 下载保存 jupyterhub/k8s-hub:2.0.0
> docker pull quay.io/jupyterhub/k8s-hub:2.0.0
> docker tag quay.io/jupyterhub/k8s-hub:2.0.0 jupyterhub/k8s-hub:2.0.0
> docker save -o k8s-hub:2.0.0.tar jupyterhub/k8s-hub:2.0.0

# 3. 下载保存 jupyterhub/k8s-image-awaiter:2.0.0
> docker pull quay.io/jupyterhub/k8s-image-awaiter:2.0.0
> docker tag  quay.io/jupyterhub/k8s-image-awaiter:2.0.0 jupyterhub/k8s-image-awaiter:2.0.0

> docker save -o k8s-image-awaiter:2.0.0.tar jupyterhub/k8s-image-awaiter:2.0.0
# 4. 下载保存 jupyterhub/k8s-network-tools:2.0.0
> docker pull quay.io/jupyterhub/k8s-network-tools:2.0.0
> docker tag  quay.io/jupyterhub/k8s-network-tools:2.0.0 jupyterhub/k8s-network-tools:2.0.0
> docker save -o k8s-network-tools:2.0.0.tar jupyterhub/k8s-network-tools:2.0.0

# 5. 下载保存 jupyterhub/k8s-secret-sync:2.0.0
> docker pull quay.io/jupyterhub/k8s-secret-sync:2.0.0
> docker tag quay.io/jupyterhub/k8s-secret-sync:2.0.0 jupyterhub/k8s-secret-sync:2.0.0
> docker save -o k8s-secret-sync:2.0.0.tar jupyterhub/k8s-secret-sync:2.0.0

# 6. 下载保存 jupyterhub/k8s-singleuser-sample:2.0.0
> docker pull m.daocloud.io/docker.io/jupyterhub/k8s-singleuser-sample:2.0.0
> docker tag m.daocloud.io/docker.io/jupyterhub/k8s-singleuser-sample:2.0.0 jupyterhub/k8s-singleuser-sample:2.0.0
> docker save -o k8s-singleuser-sample:2.0.0.tar jupyterhub/k8s-singleuser-sample:2.0.0

# 7. 下载保存 k8s.gcr.io/kube-scheduler:v1.20.15
> docker pull k8s-gcr.m.daocloud.io/kube-scheduler:v1.20.15
> docker tag k8s-gcr.m.daocloud.io/kube-scheduler:v1.20.15  k8s.gcr.io/kube-scheduler:v1.20.15
> docker save -o kube-scheduler:v1.20.15.tar k8s.gcr.io/kube-scheduler:v1.20.15

# 8. 下载保存 traefik:v2.8.4
> docker pull m.daocloud.io/docker.io/library/traefik:v2.8.4
> docker tag m.daocloud.io/docker.io/library/traefik:v2.8.4 traefik:v2.8.4
> docker save -o traefik:v2.8.4.tar traefik:v2.8.4

## 9. 将离线镜像打包上传
> tar -czvf jupyterhub-chart-images.tgz ./*
> scp jupyterhub-chart-images.tgz k8s-master:/data/s0/kubernetes/helm

1.3 加载镜像

# ------------------ k8s-matser，k8s-node1、k8s-node2 ----------------------------
# 1. 加载镜像，node1、node2节点同理
[root@k8s-master /data/s0/kubernetes/helm]$ tar -xzvf jupyterhub-chart-images.tgz -C ./chart-images
[root@k8s-master /data/s0/kubernetes/helm/chart-images]$ docker load -i configurable-http-proxy:4.5.3.tar
[root@k8s-master /data/s0/kubernetes/helm/chart-images]$ docker load -i k8s-hub:2.0.0.tar
[root@k8s-master /data/s0/kubernetes/helm/chart-images]$ docker load -i k8s-image-awaiter:2.0.0.tar
[root@k8s-master /data/s0/kubernetes/helm/chart-images]$ docker load -i k8s-network-tools:2.0.0.tar
[root@k8s-master /data/s0/kubernetes/helm/chart-images]$ docker load -i k8s-secret-sync:2.0.0.tar
[root@k8s-mas