Project Summary

This Project was created for the needs of the Udacity: Microservices at Scale using AWS & Kubernetes Paid Course. It includes a Microservice for the Model Data Prediction. The Microservice was containized with Docker and Kubernetes. The code was tested with CircleCI.

App Execution

1. Standalone: python app.py
2. Run in Docker: ./run_docker.sh (Build and Run the Dockerfile)
3. Run in Kubernetes: ./run_kubernetes.sh (Prerequisete: Start Minikube)

SW Architecture

Output_txt_files: Include the log of executing the Microservice with Docker and Kubernetes app.py: The python Microservice Script Dockerfile: Needed Dockerfile for building the DockerFile image Makefile: For installing all needed dependencies for the Virtual Evn run_docker.sh: Shell script to run the Model Prediction Microservice with Docker run_kubernetes.sh: Shell script to run the Model Prediction Microservice with Kubernetes upload_docker.sh: Shell script to push the updated Docker image to Dockerhub after performing changes in the app.py