Closed robknapen closed 5 months ago
we show machine resources via another installed tooling so no further action planned
@eox-cs1 so no integration with FAIRiCUBE requirements foreseen?
@KathiSchleidt What? I said that there is already a tool available to monitor used machine resources. So no need for another one.
I could not test the resource estimate creation on EOX Hub, it is on my list (or to poke Bachir to do it), but this the kernel usage is an "add-on" to the "measurerer" by Antonio, not a conflicting solution. Rob, how do you use the kernel usage? if the kernel usage is used for monitoring but available outside the jupyter lab, it might be fine?
It is this extension: https://github.com/jupyter-server/jupyter-resource-usage
Which allows a live view of the resource usage of the running notebook. I find it handy to keep an eye on long running / data intensive processes that are executed remotely. So a different purpose than the "measurerer". But it overlaps with the screenshot that @eox-cs1 included before, so should be covered.
covered enough to close this issue?
By the looks of it. So let me close the issue for now :)
it is available inside JupyterLab, va the sidebar
The fairicubeuc2-torch kernel (and perhaps others as well) might need some updating so that the kernel usage details can be displayed: