Hello! Newbie here…
I installed a not so powerfull Oracle Linux 9 VM with the available resources: 12GB RAM and 2 vCPUs. It is used in classes in a satisfactory way. With more than 25 users, things sometimes go bad.
I already configured c.JupyterHub.shutdown_on_logout = True and this helps.
I also set up Idle Culler, but it is not working, but the process is running:
in jupyterhub_config.py
import sys
c.JupyterHub.services = [
{
“name”: “idle-culler”,
“command”: [
sys.executable, “-m”,
“jupyterhub_idle_culler”,
“–timeout=1200”
],
}
]
c.JupyterHub.load_roles = [
{
“name”: “idle-culler”,
“description”: “Culls idle servers”,
“scopes”: [“read:users:name”, “read:users:activity”, “servers”],
“services”: [“idle-culler”],
}
]
what am I missing?
Also, is there a way to limit user CPU and memory? Sometimes a loop made by a a student is enough to kill the server, sometimes it is not.
Versions:
Selected Jupyter core packages…
IPython : 8.18.1
ipykernel : 6.29.5
ipywidgets : 8.1.5
jupyter_client : 8.6.3
jupyter_core : 5.7.2
jupyter_server : 2.14.2
jupyterlab : 4.2.5
nbclient : 0.10.0
nbconvert : 7.16.4
nbformat : 5.10.4
notebook : 7.2.2
qtconsole : not installed
traitlets : 5.14.3
system status jupyterhub:
/opt/jupyterhub/bin/python3 /opt/jupyterhub/bin/jupyterhub -f /opt/jupyterhub/etc/jupyterhub/jupyterhub_config.py
node /usr/local/bin/configurable-http-proxy --ip “” --port 8000 --api-ip 127.0.0.1 --api-port 8001 --error-target http://127.0.0.1:8081/hub/error --log-level info --ssl-key /opt/jupyterhub/etc/certificado/>
/opt/jupyterhub/bin/python3 -m jupyterhub_idle_culler --timeout=1200
Thanks and regards.
Dave