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Any idea how this can be tackled at scale?

author WBE User

4 Answers

What kind of scale are we talking about?

Sounds like you are looking for bare VMs where firing up a code-server instance for any given user would create a directory and start a Docker container mounting that directory for data persistence.

If the disk space becomes a bottleneck (though disks are reaaaally cheap), you may start getting fancy, e.g. offloading unused projects into S3 and then pulling them back if used again.

Knowing what I know about VSCode in general, it feels like you’ll run out of RAM faster though. 😊

writen by Kirill Rogovoy

Also, make sure to put resource restrictions on each container. Especially RAM.

writen by Kirill Rogovoy

What Kirill said, I would use S3 for everything related to file saving. It’s very cheap, fast and reliable. You could create a folder per project / user and load them when the user spins up the VS Code project.

writen by Luca Restagno (ikoichi on Twitter)

Why vs code, though. There are already some coding sandboxes you could use.

writen by Benedikt

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