Performance bottleneck of backend

[SongshGeo]

I am not satisfied with the data update speed because the backend is implemented in Python, which I am more familiar with, but it's not the fastest solution for web deployment.

[j-buettner]

If run locally its actually rather quick. So we can always deploy it on the DT machine locally

[SongshGeo]

Definitely, to save costs, I only purchased a very cheap, lightweight server. It's noticeably faster on my personal machine than on the server. I'm not sure what equipment will be available at that time, but I've already packaged the environment using Docker. If the equipment supports Docker, then we can also deploy it locally in advance.

However, in any case, as suggested today, I will try to focus more on the storyline and reduce interactive displays by then.

[j-buettner]

Sure, the computer we will be using is in the Berlin office with the rest of the mobile DT equipment. I can try to deploy whatever you have then on this machine in the first week of November.

[SongshGeo]

That would be great. Then, performance improvement is not a priority.