

Jupyter Hub on Amazon EKS
Jul 11, 2025
Join Adit Modi, an AWS Solution Architect and 12x certified expert, as he dives into deploying Jupyter Hub on Amazon EKS. He discusses the complexities of scaling Jupyter environments, emphasizes security with Azure AD integration, and shares resource optimization tactics using Karpenter. Adit also explores how to enhance JupyterHub with Q integration for better performance and debugging. With insights on EFS for data management and the importance of observability tools, he inspires data scientists and engineers to elevate their cloud capabilities.
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Jupyter Notebook Essentials
- Jupyter Notebooks provide a versatile coding environment for data scientists and analysts.
- They enable code execution, visualization, and rich documentation in one interactive platform.
JupyterHub Multi-User Benefits
- JupyterHub supports multi-user environments with separate logins and data isolation.
- It enhances security and management with custom domains and authentication.
Choosing EKS for JupyterHub
- SageMaker is ideal for training models but less flexible for custom libraries and GPU sharing.
- EKS offers better scalability and flexibility for multi-user JupyterHub deployments than EC2, ECS, or SageMaker.