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How to Set Up JupyterHub on AWS

If you are setting up JupyterHub for a business, you will also likely want to do this with a security-first approach. In this article, we will share the top tutorials to provide you with a comprehensive guide on how to set up JupyterHub that works well for teams and businesses.
By Mel Denisse | | Data Science & ML

You have been tasked with setting up JupyterHub. Where do you start? You are probably reading AWS documentation, googling alternatives, and finding a bit of information overload.

If you are setting up JupyterHub for a business, you will also likely want to do this with a security-first approach. In this article, we will share the top tutorials to provide you with a comprehensive guide on how to set up JupyterHub that works well for teams and businesses.

The Littlest JupyterHub

Author: The JupyterHub Development Team

This article provides the official guide for setting up a JupyterHub instance on a single machine. This is a great way to get started - but since everyone is sharing the same machine, data scientists can easily run out of RAM, and also crash each other’s processes.

Zero to JupyterHub with Kubernetes

Author: The JupyterHub Development Team

This article provides the official guide for deploying JupyterHub on a Kubernetes cluster. Running JupyterHub on Kubernetes is a good way to give data scientists access to scalable hardware. This guide can get complicated, because it addresses multiple clouds, and many different configuration options that different companies and institutions require.

AWS Logo

Setting up JupyterHub on AWS - the easiest, friendliest guide to getting it done!

Author: Quansight Published in 2022

This article provides a step-by-step walkthrough on how to install JupyterHub for your organization in your AWS account. It offers an easy approach, but is light on security. In the end, your team will be able to access multiple AWS instances and conduct data science in over 40 programming languages.

Setting up JupyterHub Securely on AWS - a thorough approach with high security setup!

Author: Quansight Published in 2022

This article is a follow up to the previous article and covers setting up JupyterHub with an emphasis on security for enterprise. These security features include setting up HTTP and SSL, single sign-on (SSO) with OAuth, and a private container registry. Once complete, your team will have a secure data science solution, with support for variable AWS machines, authentication, and much more. Guaranteed to make your IT security stakeholders sleep easier

How to Create a GPU-Powered Containerized Multi-User JupyterHub Research Server

Author: Tolga Üstünkök Published in 2020

This comprehensive article will break down using Docker to containerize your JupyterHub in the cloud, prepared for multiple users and GPU machines. This guide does not use Kubernetes - which makes it much simpler, but can be limiting if you need to scale beyond a single machine.

Multi user Jupter Notebooks with authentication - focuses on teacher-student use case!

Author: Vishma Dias Published in 2019

Vishma provides a walkthrough for setting up JupyterHub for educational use cases, where a teacher and multiple students work on a project. It shows how to authenticate users (i.e. the students), and enable link sharing.

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There you have it! A full list of ways to set up JupyterHub on AWS for personal use, academic settings, teams, and enterprise-security.

Check out other resources on setting up JupyterHub:

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