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Are you running into scaling issues because all students are on a single box? I think the JupyterHub proxying service should be able to handle way more than 70
by hogu 7y ago
Are you running into scaling issues because all students are on a single box? I think the JupyterHub proxying service should be able to handle way more than 70 users, but I could see 70 users on a single machine being problematic. I'm doing a lot of work around JupyterHub - happy to help out if I can, I can be reached at hugo@saturncloud.io
- acbart 7y agoWell, it's a virtual server, so I'm not sure how that plays with things. I supposed getting more servers in play would help, but that feels more like throwing hardware at a software problem. It doesn't feel like JH should have this much overhead - is the kernel really doing so much work?
- hogu 7y agoDepends on what your students are doing right? Also I'd bet your running out of ram before CPU. You should try doing the same workload without JH involved - I'd bet you'd still run out of ram. Also - I'd throw hardware at software problems all day long if I could. Hardware is cheap compared to developer time