mirror of https://github.com/kubeflow/examples.git
42 lines
1007 B
Bash
Executable File
42 lines
1007 B
Bash
Executable File
#!/bin/bash
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# Instantiates a fresh version of kubeflow on a cluster
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KF_VERSION=v0.1.0
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NAMESPACE=${KF_DEV_NAMESPACE}
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KF_ENV=cloud
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# Initialize an empty ksonnet app
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ks version
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ks init ks-kubeflow
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# Install kubeflow core package
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cd ks-kubeflow
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ks registry add kubeflow github.com/kubeflow/kubeflow/tree/${KF_VERSION}/kubeflow
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ks pkg install kubeflow/core@${KF_VERSION}
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# Generate core component
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ks generate core kubeflow-core --name=kubeflow-core
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# Enable anonymous usage metrics
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ks param set kubeflow-core reportUsage true
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ks param set kubeflow-core usageId $(uuidgen)
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# Define an environment
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ks env add ${KF_ENV}
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# Configure our cloud to use GCP features
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ks param set kubeflow-core cloud gke --env=${KF_ENV}
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# Set Jupyter storageclass
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ks param set kubeflow-core jupyterNotebookPVCMount /home/jovyan
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# Create a namespace for my deployment
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kubectl create namespace ${NAMESPACE}
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ks env set ${KF_ENV} --namespace ${NAMESPACE}
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# Instantiate objects on the cluster
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ks apply ${KF_ENV} -c kubeflow-core
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