====== JupyterHub ======


===== Introduction =====


JupyterHub is an open source tool that lets you host a distributed Jupyter Notebook environment. With JupyterHub, users can log in to the server, and write Python code in a web browser, without having to install software on their local machine. The Jupyter Notebook and JupyterLab interface provided by JupyterHub is the same as the Jupyter interface running locally. JupyterHub supports web browsers, tablets and smartphones. Users or organizations looking for a managed, hosted Jupyter Notebook solution can leverage one of these services. JupyterHub simplifies teaching by offering a programming environment with Jupyter Notebooks that requires no local installation or maintenance. This allows teachers and students to focus on applications like programming, data analysis, and statistics while customizing the setup to suit specific subject needs.

JupyterHub is a do-it-yourself solution that lets you install and manage your own Jupyter Notebook server.

The JupyterHub architecture is designed to supply each single user of a group with a Jupyter Notebook server. To achieve this, the architecture uses the following three main subsystems:
  * Hub—designed to manage user accounts and authentication. The hub uses a Spawner when coordinating single-user notebook servers.
  * Proxy—serves as the public-facing component. This proxy dynamically routes HTTP requests to single-user notebook servers and the Hub.
  * Single-user notebook server—an object called Spawner starts a single-user notebook when a user logs in.



===== JupyterHub Architecture =====


{{ :jupy_arch.png?nolink |}}

===== JupyterHub with Kubernetes =====

JupyterHub with Kubernetes provides a powerful solution for hosting Jupyter Notebooks in a scalable and secure environment. By utilizing Kubernetes, it dynamically manages resources, deploying isolated, containerized notebook instances for each user. This ensures consistent performance, even with high user demand, and simplifies maintenance by centralizing deployment and updates. 

The highly customizable platform supports diverse programming languages, libraries, and resource configurations tailored to user or group needs. It also integrates seamlessly with authentication systems, ensuring secure access for individuals or teams. This makes it particularly valuable for educational institutions, research organizations, and enterprises requiring collaborative and resource-efficient environments for data analysis, machine learning, and software development.


===== JupyterHub Kubernetes Architecture =====

{{ eolab:crunchy_cloud:jupyterhub_config:keycloak.png?nolink |}}