It was not my intent to claim this work as my own, sorry for any confusion.
The repo is owned by the faculty of mathematics and computer science at the University of Göttingen (as far as I know). I don't have any contact points (yet) and have only looked a bit into existing alternatives to MaximaPool. As the project is public, I thought it could be interesting to share.
As far as I know, it is already used in production, see here:
https://projects.gwdg.de/projects/netzwerk-mathe-digital/wiki/stack-maxima-pool-technical-details
It seems to be maintained mainly by Ilias users, but thanks to the architecture of STACK, this should still make it applicable to anyone using STACK in a Moodle environment.
As far as AWS is concerned I can only speak for myself and what I perceive to be the situation amongst German universities: Most would be very hesitant to needlessly place any service inside a cloud environment. Deployable docker images (such as the one you shared) or install & configuration scripts (such as an Ansible playbook) seem to be much more favored.
The repo is owned by the faculty of mathematics and computer science at the University of Göttingen (as far as I know). I don't have any contact points (yet) and have only looked a bit into existing alternatives to MaximaPool. As the project is public, I thought it could be interesting to share.
As far as I know, it is already used in production, see here:
https://projects.gwdg.de/projects/netzwerk-mathe-digital/wiki/stack-maxima-pool-technical-details
It seems to be maintained mainly by Ilias users, but thanks to the architecture of STACK, this should still make it applicable to anyone using STACK in a Moodle environment.
As far as AWS is concerned I can only speak for myself and what I perceive to be the situation amongst German universities: Most would be very hesitant to needlessly place any service inside a cloud environment. Deployable docker images (such as the one you shared) or install & configuration scripts (such as an Ansible playbook) seem to be much more favored.