clay-coffman/FSND

Public repository for the Full-Stack Nanodegree program.

Udacity Full-stack Nanodegree Projects

Projects completed as part of the Udacity-FSND.

Project 1: Booking Site Fyyur

projects/01_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

Project 2: Trivia API

projects/02_trivia_api/

Using 'Flask' and 'React', created a Full-Stack App to manage questions for different categories & develop an API to power the Quiz Gameplay. Frontend was mostly boilerplate/provided by Udacity.

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
• README.md to document project setup & API endpoints

Applied concepts:

• test-driven-development (TDD) to rapidly create highly tested & maintainable endpoints.
• directly test and make response to any endpoint out there with curl (or http in most cases...).
• implement errorhandler to format & design appropiate error messages to client

Project 3: Coffee Shop (Security & Authorization)

projects/03_coffee_shop_full_stack/

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.

Project 4: Server Deployment, Containerization and Testing

projects/04_docker_k8s_deploy

Deployed a Flask API to a Kubernetes cluster using Docker, AWS EKS, CodePipeline, and CodeBuild. Immediately shut it down because it cost $50 to get up and running for < 1 day (bunch of failed deploys due to bad CloudFormation template).

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
• CloudFormation for reource provision and management

Project 5: Capstone

TBD... probably going to do this in a separate repo that I will link to here as it's part of a project I want to work on separately from this course...