Add prediction endpoint container to k8s.yaml

[j-knudson]

previous: #24

Background

We currently have a k8s.yaml script to run a series of containers in a pod. The prediction endpoint has been containerized and is available on docker hub. That container has been added to the VPS and is available to run in a development setting.

Technical Details

We have an Nginx container currently exposed on port 9000. The internal port for the prediction container is 5000. Configure the new container to be a part of the pod. Create a connection using WSGI (such as gunicorn) and running Nginx as a reverse proxy.

Potentially helpful links:
Flask Documentation

Tutorials: 1, 2, 3, 4

Acceptance Criteria

• A prediction endpoint container is a part of the pod
• The container can be used to generate a prediction
• It is configured for a production deployment
• The wiki has been updated with details on using the new container