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Jupyterpool

Jupyterpool Specification​

The Jupyterpool maintain a pool of Jupyter Kernels ready to be assigned the user. The size is configurable per Pool.

When assigned to a User, the Jupyter Kernels are injected with the User Secrets.

Your cluster needs to be provisionned to support the size of the defined Pools.

The complete specification is available here and the following sections show simple examples.

Manage the Jupyterpools​

kubectl get jupyterpool -A
kubectl get jupyterpool -o yaml -A

Relation with the Jupyter Environments​

If a JupyterPool defines some resources, they override the default ones set in the Jupyter Environments.

Jupyterpool Example​

cat <<EOF | kubectl apply -f -
apiVersion: datalayer.io/v1
kind: Jupyterpool
metadata:
  name: python-simple-pool
  namespace: datalayer-jupyter
  labels:
    project.datalayer.io/name: dev
spec:
  environment: python-simple-env
  size: 3
  affinity:
    nodeAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
        nodeSelectorTerms:
        - matchExpressions:
          - key: role.datalayer.io/jupyter
            operator: In
            values:
            - "true"
          - key: node.datalayer.io/variant
            operator: In
            values:
            - medium
          - key: node.datalayer.io/xpu
            operator: In
            values:
            - cpu
  burningRate: 0.01
  cull:
    seconds: 999999
EOF