Oh neat! I want to take a look at this. Only a few more weeks at the client but it’d be nice to reduce the complexity of the software stack if I can before handoff.
Can you please elaborate on the latter point? My jupyterhub’s fully containerized and allows users to select their own containers (from a list i built) at launch, and launch multiple containers at the same time, not sure I follow how toes are stepped on.
Oh yes. I see. Yeah, no ML here actually (doing the testing infra of endpoints), but certainly when there is its an issue.
How does clearml session avoid it? I guess only if autoscaling is used (one worker one machine)?
But this config should almost never need to change!
Exactly the idea 🙂
notice the password (initially random) is also fixed on your local machine, for the exact same reason
None
No they are not, they are taking the vscode backend and put it behind a webserver-ish
exactly! it is very cool to see it in action, and it really works very well, kudos for these guys
do you have a video showing the use case for clearml-session
I totally think we should, I'll pass it along 🙂
what is the difference between vscode via clearml-session and vscode via remote ssh extension ?
Nice! remote vscode is usually thought of as SSH, basically you have your vscode running on your machine, and using SSH vscode automatically connects to the remote machine.
Clearml-Session also ads a new capability VSCode inside your browser, where the VSCode itself as well as the code are running on the remote machine, and clearml-session provides you with a secure http link to that remote machine and you develop (IDE) inside your browser
I'm guessing this is done through code-server?
I'm currently rolling a JupyterHub instance (multiuser, with codeserver inside) on the same machine as clearml-server. That’s where tasks are executed etc. so, all browser dev env.
It sounds like there’s an option to basically bypass this latter step and just use clearml’s credentialing to accomplish much the same thing? Am I understanding clearml-session correctly?
do you have a video showing the use case for clearml-session ? I struggle a bit about how is it used for ?
I'm guessing this is done through code-server?
correct
I'm currently rolling a JupyterHub instance (multiuser, with codeserver inside) on the same machine as clearml-server. That’s where tasks are executed etc. so, all browser dev env.
Yeah, the idea with clearml-session each user can self serve themselves the container that works best for them. With a jupyterhub they start to step on each other's toes very quickly ...
Oh my goodness. Thank you! I'd seen that before, but for some reason it didn't register I could run that with VS Code...
But this config should almost never need to change!
Host clearml-session
HostName localhost
User root
Port 8022
what is the difference between vscode via clearml-session and vscode via remote ssh extension ?
Without clearml-session, how one could set this up ?? I cannot find any documentation/guide on how to do this ... The official doc seems to say: you start a code server that then connect to vscode.dev Then from your laptop, you go to vscode.dev in order to access to your code server. Is there anyway you do this but without going to vscode.dev ???
Hi @<1541954607595393024:profile|BattyCrocodile47>
Did you check None ?
You are not supposed to do 2,3,4
After (1) you should just do
ssh root@localhost -p 8022
and provide the password that is written in the CLI
(Notice to pass --public-ip if your remote machine is using a public IP you can access)
Can you please elaborate on the latter point? My jupyterhub’s fully containerized and allows users to select their own containers (from a list i built) at launch, and launch multiple containers at the same time, not sure I follow how toes are stepped on. (edited)
Definitely a great start, usually it breaks on memory / GPU-mem where too many containers on the same machine are eating each others GPU ram (that cannot be virtualized)
wow , did not know that vscode have a http "interface" !!! Make kind of sense as vscode is just a Chrome rendering webpage behind the scene ?
just saw that repo: who are coder ? That not the vscode developer team is it ?
I guess only if autoscaling is used (one worker one machine)?
yes, basically depending on how you set autoscaling / k8s integration 🙂