Flask Amazon Web Services (AWS) Dashboard

Description

Motivation behind this project was to learn about AWS VPCs and security groups and experiment with their Python SDK, boto3. This is an Amazon AWS Dashboard to validate VPC and security group configuration written in Python using Flask and Bootstrap on the front end and Boto3 using EC2 API on the back end.

Installation Setup:

Environment tested on:

• MAC OS X 10.13.3 (High Sierra)
• Python 3.7.1

Requirements:

• AWS account (free tier)
• Create an IAM user that has access keys (best practice)
• Configure environment variable for CSFR form validation
  • Run export SECRET_KEY = "enter secret key here"
• Static folder contains:
  • css\bootstrap.min.css
  • css/main.css

Setup virtual environment:

• virtualenv --python=python3.7 .
• source ./bin/activate
• pip install -r requirements.txt

Usage

Run locally

• Run python flask-aws-dashboard-heroku.py
• Open browser to http://127.0.0.1:5000/
• 3 buttons (for each flask route, two GET and one POST) do just as their names describe. Login to your AWS dashboard to compare output.
  • show vpc
  • show security groups
  • create vpc - create a new vpc

Deploy Heroku

• Create an account on Heroku
• Config vars
  • AWS_ACCESS_KEY_ID
  • AWS_SECRET_ACCESS_KEY
  • AWS_EC2_REGION
  • SECRET_KEY

Setup environment:

• heroku login
• heroku create
• git init
• git commit -am "enter descriptive message here"
• git push heroku master

License

GNU General Public License v3.0