ychangkim
78 lines
2.0 KiB
YAML
78 lines
2.0 KiB
YAML
# JupyterLab Simple Helm Chart - Default values
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# Deploys JupyterLab using pure Kubernetes resources without an Operator.
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# JupyterLab Docker image
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# Full image ref: <registry>/<repository>:<tag>
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# Leave registry empty to use Docker Hub (default).
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image:
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registry: "quay.io"
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repository: "jupyter/scipy-notebook"
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tag: "latest"
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pullPolicy: IfNotPresent
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# Running state: 1=running, 0=stopped
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replicas: 1
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# Compute resources
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resources:
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limits:
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cpu: "2000m"
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memory: "4096Mi"
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requests:
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cpu: "500m"
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memory: "1024Mi"
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# Number of NVIDIA GPUs to allocate (e.g. "1"). Leave empty to disable.
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# nvidia.com/gpu is set to the same value in both limits and requests (Kubernetes requirement).
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gpu: ""
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# JupyterLab process configuration
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jupyterConfig:
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# Access token (leave empty to disable token authentication)
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token: ""
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# External access Ingress configuration
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ingress:
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enabled: true
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ingressClassName: "kong"
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annotations:
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cert-manager.io/cluster-issuer: "root-ca-issuer"
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cert-manager.io/duration: "8760h"
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cert-manager.io/renew-before: "720h"
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konghq.com/https-redirect-status-code: "301"
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konghq.com/protocols: "https"
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hosts:
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- host: "jupyter.example.com"
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paths:
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- /
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tls:
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- hosts:
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- "jupyter.example.com"
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secretName: "jupyter-tls-secret"
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# Home directory volume: PVC mounted at the user's home directory.
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# mountPath: mount path inside the container (defaults to /home/jovyan if left empty)
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homeVolume:
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enabled: false
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mountPath: ""
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size: "5Gi"
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storageClassName: ""
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accessMode: "ReadWriteOnce"
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# Data volume: PVC mounted at <homeDir>/<mountPath>.
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# mountPath: subdirectory name under the home directory (defaults to "data" if left empty)
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dataVolume:
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enabled: false
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mountPath: ""
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size: "5Gi"
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storageClassName: ""
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accessMode: "ReadWriteOnce"
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# Shared group volume mounts (optional)
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# groupVolumes:
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# - claimName: "pvc-shared-data"
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# mountPath: "/group_data"
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groupVolumes: []
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# imagePullSecrets for private registries
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imagePullSecrets: []
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