What resources does JupyterHub require on Kubernetes?
An example of an AI chatbot conversation about JupyterHub's resource needs in a Kubernetes environment.
What resources does JupyterHub require on Kubernetes?
JupyterHub typically requires CPU, memory, and storage resources. The exact requirements depend on the number of users and the workloads they run.
How do I determine the right amount of CPU and memory for my setup?
You can start by estimating the number of concurrent users and their expected workloads. A common starting point is 1 CPU and 2GB of RAM per user.
What about persistent storage? How much do I need?
Persistent storage needs depend on user data and notebooks. A good rule of thumb is to allocate at least 5GB per user, but this can vary.
Are there any best practices for scaling JupyterHub on Kubernetes?
Yes, consider using horizontal pod autoscaling, optimizing resource requests/limits, and monitoring usage to adjust resources dynamically.
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