背景
JupyterHub 为用户组带来了笔记本的强大功能。它使用户能够访问计算环境和资源,而不会给用户带来安装和维护任务的负担。用户——包括学生、研究人员和数据科学家——可以在他们自己的工作空间中完成他们的工作,共享资源可以由系统管理员有效管理。
JupyterHub 在云端或您自己的硬件上运行,可以为世界上的任何用户提供预先配置的数据科学环境。它是可定制和可扩展的,适用于小型和大型团队、学术课程和大型基础设施。
第一步、参考:https://cloud.tencent.com/developer/article/1902519 创建动态挂载存储
第二步、安装helm
root@hello:~# curl https://baltocdn.com/helm/signing.asc | sudo apt-key add -
root@hello:~# sudo apt-get install apt-transport-https --yes
root@hello:~# echo "deb https://baltocdn.com/helm/stable/debian/ all main" | sudo tee /etc/apt/sources.list.d/helm-stable-debian.list
root@hello:~# sudo apt-get update
root@hello:~# sudo apt-get install helm
第三步、导入镜像
root@hello:~# docker load -i pause-3.5.tar
root@hello:~# docker load -i kube-scheduler.tar
第四步、安装jupyterhub
helm repo add jupyterhub https://jupyterhub.github.io/helm-chart/
helm repo update
helm upgrade --cleanup-on-fail \
--install ju jupyterhub/jupyterhub \
--namespace ju \
--create-namespace \
--version=1.2.0 \
--values config.yaml
注:此文件可以自定义内容,具体看注释,如下开启lab功能
root@hello:~# vim config.yaml
root@hello:~# cat config.yaml
# 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/
# #
singleuser:
defaultUrl: "/lab"
extraEnv:
JUPYTERHUB_SINGLEUSER_APP: "jupyter_server.serverapp.ServerApp"
#singleuser:
# defaultUrl: "/lab"
# extraEnv:
# JUPYTERHUB_SINGLEUSER_APP: "notebook.notebookapp.NotebookApp"
root@hello:~#
root@hello:~#
root@hello:~#
第五步、修改svc为nodeport
root@hello:~# kubectl get svc -A
NAMESPACE NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
default kubernetes ClusterIP 10.68.0.1 <none> 443/TCP 16h
ju hub ClusterIP 10.68.60.16 <none> 8081/TCP 114s
ju proxy-api ClusterIP 10.68.239.54 <none> 8001/TCP 114s
ju proxy-public LoadBalancer 10.68.62.47 <pending> 80:32070/TCP 114s
kube-system dashboard-metrics-scraper ClusterIP 10.68.244.241 <none> 8000/TCP 16h
kube-system kube-dns ClusterIP 10.68.0.2 <none> 53/UDP,53/TCP,9153/TCP 16h
kube-system kube-dns-upstream ClusterIP 10.68.221.104 <none> 53/UDP,53/TCP 16h
kube-system kubernetes-dashboard NodePort 10.68.206.196 <none> 443:32143/TCP 16h
kube-system metrics-server ClusterIP 10.68.1.149 <none> 443/TCP 16h
kube-system node-local-dns ClusterIP None <none> 9253/TCP 16h
root@hello:~# kubectl edit svc proxy-public -n ju
service/proxy-public edited
root@hello:~#
root@hello:~#
root@hello:~# kubectl get svc -A
NAMESPACE NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
default kubernetes ClusterIP 10.68.0.1 <none> 443/TCP 16h
ju hub ClusterIP 10.68.60.16 <none> 8081/TCP 2m19s
ju proxy-api ClusterIP 10.68.239.54 <none> 8001/TCP 2m19s
ju proxy-public NodePort 10.68.62.47 <none> 80:32070/TCP 2m19s
kube-system dashboard-metrics-scraper ClusterIP 10.68.244.241 <none> 8000/TCP 16h
kube-system kube-dns ClusterIP 10.68.0.2 <none> 53/UDP,53/TCP,9153/TCP 16h
kube-system kube-dns-upstream ClusterIP 10.68.221.104 <none> 53/UDP,53/TCP 16h
kube-system kubernetes-dashboard NodePort 10.68.206.196 <none> 443:32143/TCP 16h
kube-system metrics-server ClusterIP 10.68.1.149 <none> 443/TCP 16h
kube-system node-local-dns ClusterIP None <none> 9253/TCP 16h
root@hello:~#
https://blog.csdn.net/qq_33921750
https://my.oschina.net/u/3981543
https://www.zhihu.com/people/chen-bu-yun-2
https://segmentfault.com/u/hppyvyv6/articles
https://juejin.cn/user/3315782802482007
https://space.bilibili.com/352476552/article
https://cloud.tencent.com/developer/column/93230
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