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How Are You Using JupyterHub?
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We need to store your e-mail address to contact you. The information provided in this form will be shared only with the planning committee to help them review your application fairly. These details will be stored in a Google Drive that team members have access to. The servers are based in the USA. You can ask for your e-mail address or any information to be removed from our database at any time. Please select the "I understand and I accept" option before proceeding.
We need to store your e-mail address to contact you. The information provided in this form will be shared only with the planning committee to help them review your application fairly. These details will be stored in a Google Drive that team members have access to. The servers are based in the USA. You can ask for your e-mail address or any information to be removed from our database at any time. Please select the "I understand and I accept" option before proceeding.
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What is your name?
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What is the name of your organization?
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What is the primary purpose of your JupyterHub deployment?
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Approximately how many total users does your deployment serve?
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Approximately how many concurrently active users does your deployment serve?
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How many people are on the team that manages your JupyterHub deployment?
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Deployment details
Which JupyterHub distribution or deployment method do you use?
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What infrastructure do you run JupyterHub on?
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Does your JupyterHub provide access to GPUs? If so, please tell us more about how you provide it (driver support, software images, GPU resource exhaustion, time-slicing, multi-instance groups, cost management, etc.). Please, share a link to public configuration, where possible.
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Does your JupyterHub allow users to scale resources?
If so, please tell us more about how you provide it (parallel processing across multiple nodes using Dask Gateway, kbatch, Ray, etc.). Please, share a link to public configuration, where possible.
If so, please tell us more about how you provide it (parallel processing across multiple nodes using Dask Gateway, kbatch, Ray, etc.). Please, share a link to public configuration, where possible.
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Which authenticator do you use?
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What Proxy implementation do you use?
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Which spawner do you use?
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Did you customize any components? If so, which components did you customize?
Please, provide links to customizations (GitHub or similar) if available
Please, provide links to customizations (GitHub or similar) if available
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Administration and maintenance
Which documentation or resources do you use when maintaining JupyterHub?
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How often do you upgrade JupyterHub?
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How do you monitor usage?
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What is the estimated hosting cost per user per month?
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Do you provide documentation to your users? If so, add the link to the documentation here, if it is public:
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What tool do you use to write the documentation?
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User environment
Which kernels are available to users?
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What interfaces are available to users?
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Contributing and Community
How often do you contribute issues or PRs to JupyterHub-related projects?
(1 = Never; 2 = Less than once a month; 3 = About once a month; 4 = Several times a month; 5 = Once a week or more)
(1 = Never; 2 = Less than once a month; 3 = About once a month; 4 = Several times a month; 5 = Once a week or more)
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What could the community do to support you in making contributions?
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Are you aware of the following communication channels?
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What are the top 3 lessons learned or things you wish you had support for?
(Feel free to add more if you have time!)
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Is there anything else you would like to share, clarify, or elaborate on regarding the questions above? Is there anything you feel was missing or that you would have liked to be asked?
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Would you be interested in having your JupyterHub deployment featured as a community use case?
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Privacy and sharing (detailed vs. aggregate)
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Waiting for responses
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