[jira] [Updated] (AIRAVATA-3598) Airavata Jupyter Platform Services

["Himanshu Hansaria (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/AIRAVATA-3598?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Himanshu Hansaria updated AIRAVATA-3598:
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    Attachment: image-2022-04-18-12-46-29-459.png

> Airavata Jupyter Platform Services
> ----------------------------------
>
>                 Key: AIRAVATA-3598
>                 URL: https://issues.apache.org/jira/browse/AIRAVATA-3598
>             Project: Airavata
>          Issue Type: Epic
>            Reporter: Suresh Marru
>            Priority: Major
>              Labels: gsoc2022, mentor
>         Attachments: image-2022-04-18-12-46-29-459.png
>
>
> # UI Framework 
>  ## To host the jupyter environment we will need to envolop the notebooks in a user interface and connect it with Apache Airavata services 
>  ## Leverage Airavata communications from within the Django Portal - [https://github.com/apache/airavata-django-portal] 
>  ## Explore if the platform is better to be developed as VSCode extensions leveraging jupyter extensions like - [https://github.com/Microsoft/vscode-jupyter]
>  ## Alternatively, explore developing a standalone native application using ElectronJS
>  # Draft up a platform architecture - Airavata based infrastructure with functionality similar to collab. 
>  # Authenticate with Airavata Custos Framework - [https://github.com/apache/airavata-custos] 
>  # Extend Notebook filesystem using the virtual file system approaching integration with Airavata based storage and catalog
>  # Make the notebooks registered with Airavata app catalog and experiment catalog. 
>  
> Advanced Possibilities:
> Explore Multi-tenanted JupyterHub 
>  * Can K8 namespace isolation accomplish?
>  * Make deployment of Jupyter support as part of the default core
>  * Data and the user-level tenancy can be assumed, how to make sure infrastructure can isolate them, like not one gateway crashing a hosting environment.
>  # How to leverage computational resources jupypter hub



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