zero-to-jupyterhub-k8s | Helm Chart & Documentation for deploying JupyterHub on Kubernetes | Continuous Deployment library

by jupyterhub Python Version: 2.0.0 License: Non-SPDX

X-Ray Key Features Code Snippets(1)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | zero-to-jupyterhub-k8s Summary

zero-to-jupyterhub-k8s is a Python library typically used in Devops, Continuous Deployment, Jupyter applications. zero-to-jupyterhub-k8s has no bugs, it has no vulnerabilities and it has medium support. However zero-to-jupyterhub-k8s build file is not available and it has a Non-SPDX License. You can download it from GitHub.

This repo contains a Helm chart for JupyterHub and a guide to use it. Together they allow you to make a JupyterHub available to a very large group of users such as the staff and students of a university.

Support

Quality

Security

License

Reuse

Support

zero-to-jupyterhub-k8s has a medium active ecosystem.

It has 1330 star(s) with 752 fork(s). There are 60 watchers for this library.

It had no major release in the last 12 months.

There are 69 open issues and 1185 have been closed. On average issues are closed in 110 days. There are 10 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of zero-to-jupyterhub-k8s is 2.0.0

Quality

zero-to-jupyterhub-k8s has 0 bugs and 0 code smells.

Security

zero-to-jupyterhub-k8s has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

zero-to-jupyterhub-k8s code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

zero-to-jupyterhub-k8s has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

zero-to-jupyterhub-k8s releases are available to install and integrate.

zero-to-jupyterhub-k8s has no build file. You will be need to create the build yourself to build the component from source.

zero-to-jupyterhub-k8s saves you 499 person hours of effort in developing the same functionality from scratch.

It has 1468 lines of code, 55 functions and 16 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed zero-to-jupyterhub-k8s and discovered the below as its top functions. This is intended to give you an instant insight into zero-to-jupyterhub-k8s implemented functionality, and help decide if they suit your requirements.

Run linter on the given values
Run a command
Update a secret
Runs the validation
Flatten a nested dictionary
Recursively cleans up the keys in the given dictionary
Find images in a dictionary
Recursively reduce nested structure
Parse a schema
Get configuration value from yaml
Load configuration
Recursively merge two dictionaries
Get a secret value
Return git ref from chartpress version
Get the environment variable name
Return the value of a configuration value
Set the value of a config property
Convert CamelCase to CamelCase
Setup logging

Get all kandi verified functions for this library.

zero-to-jupyterhub-k8s Key Features

No Key Features are available at this moment for zero-to-jupyterhub-k8s.

zero-to-jupyterhub-k8s Examples and Code Snippets

Using JupyterHub's REST API-Enabling users to spawn multiple named-servers via the API

Python

Lines of Code : 6

License : Non-SPDX (NOASSERTION)

Copy

curl -X POST -H "Authorization: token " "http://127.0.0.1:8081/hub/api/users//server"

hub:
  extraConfig: |
    c.JupyterHub.allow_named_servers = True

curl -X POST -H "Authorization: token " "http://127.0.0.1:8081/hub/api/users//servers/"
curl -X

Community Discussions

Trending Discussions on zero-to-jupyterhub-k8s

How to migrate data from Google Cloud VM to Google Kubernetes Engine?

QUESTION

How to migrate data from Google Cloud VM to Google Kubernetes Engine?

Asked 2020-Sep-17 at 11:28

I am running JupyterHub on Google Cloud VM but due to some reasons I am not able to access JupyterHub running on VM now. Rather than resolving the issue with current JupyterHub I wanted to migrate JupyterHub on our Google Kubernetes Engine, so I installed another JupyterHub on Google Kubernetes Engine using zero-to-jupyterhub-k8s.

Now everything is running fine but I want to migrate the data saved on the old JupyterHub VM to my new JupyterHub. The new JupyterHub using Persistent Volume claims as storage for each of the pods of users. Could someone please let me know how can I do it?

...

ANSWER

Answered 2020-Sep-17 at 11:28

Posting this answer as a community wiki for a better visibility as well to add some additional resources that could help when encountered with similar scenario.

The issue portrayed in the question was resolved by copying user data to GCS bucket and then mounting the data to the user pods as posted in the comment:

I solved this issue by copying the data from the VM to Google Cloud Storage and then mounted the GCS Bucket on the user pods in JupyterHub on Google Kubernetes Engine.

The guide for installing zero-to-jupyterhub-k8s:

Resources on mounting GCS bucket to the Kubernetes pod:

Citing the Github page:

Disclaimer!

The big catch is that for this to work, the container has to be built with gcsfuse. The Dockerfile includes a base build for debian jessie.

The most note worthy parts of the configuration are the following:

Source https://stackoverflow.com/questions/63231663

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install zero-to-jupyterhub-k8s

You can download it from GitHub.
You can use zero-to-jupyterhub-k8s like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: