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[Clearml-Session Discussion]
I Have Modified Clearml-Session And Clearml-Agent To Provide Gpu Resources To Our Company As A Tool, And It Is Being Well-Utilized By Data Scientists And Mlops Engineers In Our Company. Here’S What I Modified:
Hi @<1524922424720625664:profile|TartLeopard58>
- Opened container ports for VS Code, JupyterLab, and SSH.I think that by default it uses the host network so it can take care of that, are you saying you added k8s integration ?
- Added NodePort to the service to directly access via public IP:NodePort (previously only SSH was available, but now NodePort is added for VS Code and JupyterLab as well), allowing direct access without SSH tunneling.Interesting!
- Considering security vulnerabilities, SSH allows access with password or RSA key, VS Code requires a password, and JupyterLab allows access with a token."SSH allows access with password" it is a very long random password, not sure I see a risk here, wdyt?
- Since using the clearml-session CLI was inconvenient, I modified it to run as a task, allowing anyone who can access clearml-server to clone and enqueue the task.I'm assuming this only works if you are adding an HTTP/s routing ?
I'm with @<1529271085315395584:profile|AmusedCat74> , would love to learn more on what you did, sounds like a great addition
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one year ago
one year ago