You are viewing documentation for Kubeflow 0.5

This is a static snapshot from the time of the Kubeflow 0.5 release.
For up-to-date information, see the latest version.

Submit Kubernetes Resources

Submitting Kubernetes resources from a Jupyter notebook

Kubeflow assigns the jupyter-notebook service account to the Jupyter notebook Pods. This service account is bound to the jupyter-notebook role, which has namespace-scoped permissions to the following Kubernetes resources:

  • Pods
  • Deployments
  • Services
  • Jobs
  • TFJobs
  • PyTorchJobs

You can therefore create the above Kubernetes resources directly from your Jupyter notebook in Kubeflow. The Kubernetes kubectl command-line tool is pre-installed in the notebook.

Run the following command in a Jupyter notebook cell to create Kubernetes resources:

!kubectl create -f myspec.yaml

The myspec.yaml file should describe one of the above Kubernetes resources. For information about the format of the YAML file, see the Kubernetes object guide.

Next steps

Last modified 19.04.2019: Refactored and significantly updated the Jupyter notebooks docs (#633) (4e1d8ab2)