LAB - Python Containers

An interactive workshop on constructing images for Python applications.

Warning

This workshop use a privileged pod for the workshop environment. You should evaluate the workshop configuration and the implications of this. It is recommended that you do not deploy this workshop to a production system.

Prerequisites

In order to use the workshop you should have the eduk8s operator installed.

For installation instructions for the eduk8s operator see:

• https://github.com/eduk8s/eduk8s-operator

Deployment

To load the workshop definition run:

kubectl apply -f https://raw.githubusercontent.com/eduk8s-labs/lab-python-containers/master/resources/workshop.yaml

To deploy a sample training portal which hosts the workshop, run:

kubectl apply -f https://raw.githubusercontent.com/eduk8s-labs/lab-python-containers/master/resources/training-portal.yaml

Then run:

kubectl get trainingportal/lab-python-containers

This will output the URL to access the web portal for the training environment.

You need to be a cluster admin to create the deployment using this method.

Deletion

To delete the training portal deployment, run:

kubectl delete -f https://raw.githubusercontent.com/eduk8s-labs/lab-python-containers/master/resources/training-portal.yaml

When you are finished with the workshop definition, you can delete it by running:

kubectl delete -f https://raw.githubusercontent.com/eduk8s-labs/lab-python-containers/master/resources/workshop.yaml