This project uses docker, and Kubernetes to build a Microservice API in python virtual environment. The app predicts housing prices usign sklearn. Python App is a simple flask app that accepts data in an api, and sends response.

• Create a virtualenv and activate it
• Run make install to install the necessary dependencies

1. Standalone: python app.py
2. Run in Docker: ./run_docker.sh..Flask app will be available in port 80
3. Run in Kubernetes: ./run_kubernetes.sh

• run minikube create, and minikube start to create, and run the kubernetes pod
• Verify pod is running by typing kubectl get pods
• run ./run_kubernetes to create a deployment
• Flask app will be exposed to port 8888
• run ./make predictions to call Flask api