Deploying a Flask API

Cluster Address

• aeac32544bc4f11e9ae800e0db26f7bd-1514026131.us-west-2.elb.amazonaws.com

This is the project starter repo for the fourth course in the Udacity Full Stack Nanodegree: Server Deployment, Containerization, and Testing.

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.

Initial setup

1. Fork this project to your Github account.
2. Locally clone your forked version to begin working on the project.

Dependencies

• Docker Engine
  • Installation instructions for all OSes can be found here.
  • For Mac users, if you have no previous Docker Toolbox installation, you can install Docker Desktop for Mac. If you already have a Docker Toolbox installation, please read this before installing.
• AWS Account
  • You can create an AWS account by signing up here.

Project Steps

Completing the project involves several steps:

1. Write a Dockerfile for a simple Flask API
2. Build and test the container locally
3. Create an EKS cluster
4. Store a secret using AWS Parameter Store
5. Create a CodePipeline pipeline triggered by GitHub checkins
6. 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.