This is the project starter repo for the fourth course in the Udacity Full Stack Nanodegree: Server Deployment, Containerization, and Testing.
Current Endpoint: ab6921cf52f704aabac5cbd1e231908c-2126562758.ap-northeast-2.elb.amazonaws.com
In this project you will containerize and deploy a Flask API to a Kubernetes cluster using Docker, AWS EKS, CodePipeline, and CodeBuild.
The Flask app that will be used for this project consists of a simple API with three endpoints:
GET '/'
: This is a simple health check, which returns the response 'Healthy'.POST '/auth'
: This takes a email and password as json arguments and returns a JWT based on a custom secret.GET '/contents'
: This requires a valid JWT, and returns the un-encrpyted contents of that token.
The app relies on a secret set as the environment variable JWT_SECRET
to produce a JWT. The built-in Flask server is adequate for local development, but not production, so you will be using the production-ready Gunicorn server when deploying the app.
- Fork this project to your Github account.
- Locally clone your forked version to begin working on the project.
- Docker Engine
- AWS Account
- You can create an AWS account by signing up here.
Completing the project involves several steps:
- Write a Dockerfile for a simple Flask API
- Build and test the container locally
- Create an EKS cluster
- Store a secret using AWS Parameter Store
- Create a CodePipeline pipeline triggered by GitHub checkins
- Create a CodeBuild stage which will build, test, and deploy your code
For more detail about each of these steps, see the project lesson here.