The purpose of this project is to operationalize a Python flask app—in a provided file, app.py—using kubernetes, which is an open-source system for automating the management of containerized applications.

In this project you will find:

• app.py : Python flask app
• requirements.txt : list of dependencies (Python Packages)
• Makefile : used to cerate a new environment, install dependencies, lint project files
• make_prediction.sh : used to make a prediction when app.py is running
• Dockerfile : contains all the commands to be called on the command line to containerize this application
• run_docker.sh : Shell script used to deploy the containerized application using Docker
• upload_docker.sh : Shell script used to upload the built image to docker
• run_kubernetes.sh : Shell script used to deploy this application using kubectl
• output_txt_files : contains
  • docker_out.txt : Sample of log output after running a prediction via Docker
  • kubernetes.out.txt : Sample of terminal output after running a prediction via Kubernetes deployment
• .circleci : contains congif.yml, used to test environment set up with CircleCi

Starting project files : Udacity Project

• 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
3. Run in Kubernetes: ./run_kubernetes.sh

• Setup and Configure Docker locally
• Setup and Configure Kubernetes locally
• Create Flask app in Container
• Run via kubectl

• Mohamed BOUSETTA MAHJOUB - Initial work - MedMahj