This repository is for the projects completed during the Full Stack Nanodegree Program at Udacity. This README serves as an overveiw and a table of contents for the projects completed.

1. Fyyur

   Aim of the project was to build a full-stack Web App with Flask and Boostrap which enables Venues & Artists to list themselves and arrange Shows together.

   Used tech stack:

   • SQLAlchemy as ORM library of choice
   • PostgreSQL as database
   • Python3 and Flask for server language and framework
   • Flask-Migrate for creating and running schema migrations
   • Frontend: HTML, CSS, and Javascript with Bootstrap 3 (mainly provided by Udacity Team)

   Applied concepts:

   • How to use Git Bash & Github as version control tool
   • Configure local database and connect it to a web application
   • Create Model Schemas with columns and relationships (1:1, 1:n and N:N)
   • Use SQLAlchemy ORM with PostgreSQL to query, insert, edit & delete Data
   • Use WTForms to encapsulate input forms in seperate file & to allow for custom validations
   • Use Boostrap as a simple to use Front End Libary and Ajax to fetch flask routes
   • Create SQL-like Queries, but without any SQL syntax, only using SQLAlchemy ORM
   • How to clearly structurize a larger web application in different files & folders

   View running website

2. Full Stack Trivia App

   Using 'Flask' and 'React', created a Full-Stack App to manage questions for different categories & develop an API to power the Quiz Gameplay.

   Used tech stack:

   • React Components as frontend (provided by Udacity Team)
   • Python3 and Flask for server language and API development
   • cors to handle access to the API
   • unittest for automated testing of APIs
   • curl to get responses from API
   • README.md to document project setup & API endpoints

   Applied concepts:

   • using best-practice PEP8-style to design and structur code
   • test-driven-development (TDD) to rapidly create highly tested & maintainable endpoints.
   • directly test and make response to any endpoint out there with curl.
   • implement errorhandler to format & design appropiate error messages to client
   • becoming aware of the importance of extensive project documentation & testing.

   View running website

3. Coffee Shop App

   Using 'Flask' and 'Auth0', created a Full-Stack App to let Users login to Site & make actions according to their Role & Permission Sets.

   Used tech stack:

   • Python3 & Flask for server language and API development
   • SQLAlchemy as ORM / Sqlite as database
   • Ionic to serve and build the frontend (provided by Udacity Team)
   • Auth0 as external Authorization Service & permission creation
   • jose JavaScript Object Signing and Encryption for JWTs. Useful for encoding, decoding, and verifying JWTs.
   • postman to automatize endpoint testing & verification of correct Authorization behaviour.

   View running website

4. Deployment to Kudernetes

   Deployed a Flask API to a Kubernetes cluster using Docker, AWS EKS, CodePipeline, and CodeBuild.

   (Application has been teared down after successfull review to avoid incurring additional costs)

   Used tech stack:

   • Docker for app containerization & image creation to ensure environment consistency across development and production server
   • AWS EKS & Kubernetes as container orchestration service to allow for horizontal scaling
   • aswscli to interact with AWS Cloud Services
   • ekscli for EKS cluster creation
   • kubectl to interact with kubernetes cluster & pods
   • CodePipeline for Continuous Delivery (CD) & to watch Github Repo for changes
   • CodeBuild for Continuous Integration (CI), together with pytest for automated testing before deployment

This is the last project of the Udacity-Full-Stack-Nanodegree Course. It covers following technical topics in 1 app:

1. Database modeling with postgres & sqlalchemy (see models.py)
2. API to performance CRUD Operations on database with Flask (see app.py)
3. Automated testing with Unittest (see test_app)
4. Authorization & Role based Authentification with Auth0 (see auth.py)
5. Deployment on Heroku (see setup.sh)

View website