Tag: jupyterhub

• Deploy CVMFS on Kubernetes

  [Wed 26 February 2020]

• Simulate users on JupyterHub

  [Wed 30 October 2019]

• Deploy Cluster Autoscaler for Kubernetes on Jetstream

  [Thu 12 September 2019]

• Deploy Kubernetes and JupyterHub on Jetstream with Magnum

  [Fri 14 June 2019]

• Kubernetes monitoring with Prometheus and Grafana

  [Sat 20 April 2019]

• Scale Kubernetes manually on Jetstream

  [Fri 22 February 2019]

• Deploy Pangeo on Kubernetes deployment on Jetstream created with Kubespray

  [Thu 20 December 2018]

• Deploy JupyterHub on a Supercomputer for a workshop or tutorial 2018 edition

  [Wed 07 November 2018]

• Deploy JupyterHub on Kubernetes deployment on Jetstream created with Kubespray 3/3

  [Mon 24 September 2018]

• PEARC18 Paper on Deploying Jupyterhub at scale on XSEDE

  [Mon 23 July 2018]

• Install custom Python environment on Jupyter Notebooks at NERSC

  [Thu 21 December 2017]

• ECSS Symposium about Jupyterhub deployments on XSEDE

  [Fri 15 December 2017]

• Deploy scalable Jupyterhub with Kubernetes on Jetstream

  [Tue 05 December 2017]

• Deploy scalable Jupyterhub on Docker Swarm mode

  [Thu 26 October 2017]

• Deployment of Jupyterhub with Globus Auth to spawn Notebook on Comet in Singularity containers

  [Fri 11 August 2017]

• Deploy Jupyterhub on a Supercomputer with SSH Authentication

  [Tue 16 May 2017]

• Configure Globus on your local machine for GridFTP with XSEDE authentication

  [Wed 19 April 2017]

• Sample deployment of Jupyterhub in HPC on SDSC Comet

  [Sun 26 February 2017]

• Customize your Python environment in Jupyterhub

  [Fri 24 February 2017]

• Automated deployment of Jupyterhub with Ansible

  [Fri 03 February 2017]

• Jupyterhub Docker Spawner with GPU support

  [Wed 12 October 2016]

• Jupyterhub deployment on multiple nodes with Docker Swarm

  [Tue 24 May 2016]

• Quick Jupyterhub deployment for workshops with pre-built image

  [Thu 28 April 2016]

• Deploy Jupyterhub on a Virtual Machine for a Workshop

  [Sat 16 April 2016]

• Use your own Python installation (kernel) in Jupyterhub

  [Mon 05 October 2015]

• Run Jupyterhub on a Supercomputer

  [Thu 02 April 2015]