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Full Stack Nanodegree Progam -- Udacity

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.

Projects

  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

Capstone Project

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