77 lines
2.0 KiB
YAML
77 lines
2.0 KiB
YAML
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: jupyter-deployment
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spec:
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replicas: 1
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strategy:
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type: "Recreate"
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selector:
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matchLabels:
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app: jupyter
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template:
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metadata:
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labels:
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app: jupyter
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pod.staroid.com/isolation: dedicated
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pod.staroid.com/spot: "false"
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pod.staroid.com/instance-type: gpu-1
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spec:
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automountServiceAccountToken: true
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securityContext:
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runAsUser: 1000 # will be overrided by staroid
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runAsGroup: 100 # writable directories are accessible with GID 100. see https://github.com/jupyter/docker-stacks/blob/master/base-notebook/Dockerfile
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containers:
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- name: jupyter
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image: jupyter
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command:
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- "bash"
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- "-c"
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- >-
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mkdir -p ~/.ssh && chmod 700 ~/.ssh &&
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echo -n "$(echo $MLFLOW_TRACKING_URI | sed 's/.*\(mlflow[^:]*\).*/\1/g') " >> ~/.ssh/known_hosts &&
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echo $MLFLOW_ARTIFACT_STORE_RSA_PUB | base64 --decode >> ~/.ssh/known_hosts &&
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echo $MLFLOW_ARTIFACT_STORE_RSA_PRI | base64 --decode >> ~/.ssh/id_rsa &&
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chmod 600 ~/.ssh/* &&
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jupyter-lab --ip='*' --NotebookApp.token='' --NotebookApp.password='' --NotebookApp.allow_origin='*'
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env:
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- name: JUPYTER_ENABLE_LAB
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value: "yes"
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envFrom:
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- configMapRef:
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name: mlflow-env
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volumeMounts:
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- name: work-volume
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mountPath: /home/jovyan/work
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volumes:
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- name: work-volume
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persistentVolumeClaim:
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claimName: work
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---
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kind: Service
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apiVersion: v1
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metadata:
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name: jupyter
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spec:
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ports:
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- name: http
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port: 8888
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selector:
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app: jupyter
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---
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apiVersion: v1
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kind: PersistentVolumeClaim
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metadata:
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name: work
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annotations:
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storage.staroid.com/scope: Instance
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storage.staroid.com/file-manager: "1000:100"
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spec:
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storageClassName: nfs
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accessModes:
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- ReadWriteMany
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volumeMode: Filesystem
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resources:
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requests:
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storage: 1Gi
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