Submit Kubernetes Resources

Submitting Kubernetes resources from a Jupyter notebook

Kubeflow assigns the jupyter-notebook service account to the Jupyter notebookPods. 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 yourJupyter notebook in Kubeflow. The Kuberneteskubectlcommand-line tool is pre-installed in the notebook.

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

  1. !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 theKubernetes object guide.

Next steps