# Run Linux Desktop Apps in mybinder.org / your JupyterHub

**URL:** https://discourse.jupyter.org/t/run-linux-desktop-apps-in-mybinder-org-your-jupyterhub/11964
**Category:** Show and Tell
**Tags:** announcement
**Created:** [December 1, 2021, 10:38am UTC](https://discourse.jupyter.org/t/run-linux-desktop-apps-in-mybinder-org-your-jupyterhub/11964 "2021-12-01T10:38:04Z")
**Posts on this page:** 1
**Showing post:** 13

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### Author: ![vvcb](https://yyz1.discourse-cdn.com/flex031/user_avatar/discourse.jupyter.org/vvcb/32/9346_2.png) [@vvcb](https://discourse.jupyter.org/u/vvcb)
#### Post date: [March 21, 2023, 12:15am UTC](https://discourse.jupyter.org/t/run-linux-desktop-apps-in-mybinder-org-your-jupyterhub/11964/13 "2023-03-21T00:15:57Z")

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And, if we set it up so that any time a user requests a ‘workspace’ aka ‘server’, the following happens:

2 containers get spun up - ideally as 2 separate pods (rather than 2 containers in a pod)

- Pod A: Lightweight, Linux desktop environment with limited tools and a modern browser, wrapped in Guacamole.
- Pod B: The usual single user server with a choice of interfaces running on customisable compute, etc.
- Pod A and Pod B can potentially be scheduled to run on different node pools with different resources, etc.

Pod B is only accessible from Pod A - enforced through network policy ?Calico.

Persistent storage is disabled on Pod A so that even if the user downloads data from JupyterLab served via Pod B - this ends up in Pod A which is entirely ephemeral and is lost when the user has to shutdown the server to access a different workspace. Pod A (Guacamole) prevents removal of data from the desktop environment.

Pod B gets its persistence storage through PV/PVC, in our case Azure File storage.

This prevents moving data from one workspace to another. Let’s discuss when we talk on Wednesday.

Let’s drag one more person to the party 🙂

@yuvipanda - I have been looking at this → [[Request for Implementations] Disabling downloads from a JupyterHub](https://discourse.jupyter.org/t/request-for-implementations-disabling-downloads-from-a-jupyterhub/7613) in the context of this → [Secure data environment for NHS health and social care data - policy guidelines - GOV.UK](https://www.gov.uk/government/publications/secure-data-environment-policy-guidelines/secure-data-environment-for-nhs-health-and-social-care-data-policy-guidelines).

Will be great to get your thoughts. NHS England has budgeted £100m for Secure Data Environments and seeing that a major chunk of data science happens within the Jupyter universe, will be good to discover what is possible and what has already been done. I love z2jh and will be great to see what others are doing in this space.

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