This is the public repository for Udacity's Full-Stack Nanodegree program.

5 project demonstrate my skills of building Full-stack application includes

1. Fyyur -

• A musical venue and artist booking site that facilitates the discovery and bookings of shows between local performing artists and venues. By utilizing Flask, SQLAlchemy, Postgres database, I created functionality with end point that enable CRUD function for artisis list and venues lists.

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

2. Trivia app -

• Implement backend for udacity trivia app which allow user to display questions, delete questions, add questions, search for questions based on a text query string and lastly play the quiz game, randomizing either all questions or within a specific category.

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.

3. coffee_shop_full_stack -

• Programmed a backedend application for udacity coffe shop application that utilized third-party validation for user which has different authorities toward application. Display graphics representing the ratios of ingredients in each drink.
• Allow public users to view drink names and graphics.
• Allow the shop baristas to see the recipe information.
• Allow the shop managers to create new drinks and edit existing drinks.
• 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.

4. Server Deployment, Containerization and Testing.

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

5. Capstone Project

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