How can I set resource limits for JupyterHub on Kubernetes?
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How can I set resource limits for JupyterHub on Kubernetes?
You can set resource limits in the JupyterHub Helm chart by modifying the values.yaml file. Look for the resources section.
What specific values should I set for CPU and memory?
It depends on your workload, but a common starting point is 500m CPU and 1Gi memory for each user.
Can I set different limits for different user groups?
Yes, you can use the userGroups configuration to apply different resource limits for different groups.
How do I apply these changes after editing the values.yaml?
After editing, run helm upgrade with your release name to apply the changes.
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