JupyterHub — 3 Technical Articles

Jan 13, 2022 · Backend Development

Implementing Online Execution of Pandas Code on a Webpage: Lessons and Solutions

This article describes the author's exploration of various approaches—including custom servers, JupyterHub, JupyterBook, and Thebe—to enable users to run pandas code directly within a webpage, detailing the requirements, challenges, and the final implementation that embeds interactive execution while preserving user isolation and minimal setup.

JupyterHubWeb Developmentonline execution

0 likes · 8 min read

Implementing Online Execution of Pandas Code on a Webpage: Lessons and Solutions

Bitu Technology

Jun 5, 2020 · Cloud Native

Building Tubi Data Runtime on JupyterHub: Architecture, Authentication, Storage, GPU Support, and Autoscaling

This article details how Tubi built the Tubi Data Runtime platform on JupyterHub using Kubernetes, covering authentication with Okta SSO, custom Docker images, shared EFS storage, multi‑service support, GPU enablement, node affinity, cluster autoscaling, and monitoring with Prometheus.

AWSDockerGPU

0 likes · 17 min read

Building Tubi Data Runtime on JupyterHub: Architecture, Authentication, Storage, GPU Support, and Autoscaling

Bitu Technology

May 29, 2020 · Big Data

Optimizing Data Access in Tubi Data Runtime: Redshift Connector, SQL Cell Magic, and JupyterLab Extensions

This article explains how Tubi Data Runtime (TDR) streamlines data access on JupyterHub by introducing an optimized Redshift connector, custom SQL cell magic, and JupyterLab extensions for data exploration, reducing latency and resource usage while enhancing collaboration and usability for data scientists and engineers.

DataConnectorJupyterHubKubernetes

0 likes · 12 min read

Optimizing Data Access in Tubi Data Runtime: Redshift Connector, SQL Cell Magic, and JupyterLab Extensions