website/content/docs/notebooks/submit-kubernetes.md

+++ title = "Submit Kubernetes Resources" description = "Submitting Kubernetes resources from a Jupyter notebook" weight = 40 +++

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

• See the guide to setting up your Jupyter notebooks in Kubeflow.
• Explore the components of Kubeflow, including custom Kubernetes resources.