day1

Kubeflow Dojo Day 1 HandsOn

In today's HandsOn, we will go over how to create a Jupyter Notebook on Kubeflow, run some python example code, and executing the Kubeflow pipeline using the permission we have within the Kubeflow Jupyter Notebook Server.

Instructions

1. Go to the Kubeflow dashboard. It should be <minikube/public_ip>:31380. Then create a username call anonymous.

2. Click on the Jupyter Servers tab on the left-hand panel.

3. Click on the New Server button.

4. Give any name to your Jupyter Server, and keep the rest with the default settings. At the end of the form, click on the Launch button.

5. Once the Jupyter Server is ready, click on the Connect button to access the Jupyter Server.

6. Within the Jupyter Server, click upload and select the lightweight_component.ipynb example in this directory. Then click on the notebook and start running code using the Jupyter Notebook running on Kubeflow. The rest of the instructions are within the Jupyter Notebook.