This tutorial aims to guide you through the process of deploying your Flask applications on three well-known platforms: AWS, Heroku, and DigitalOcean. By the end of this tutorial, you will have a clear understanding of how to take your Flask application from your local environment and deploy it on these platforms.
Prerequisites:
- Basic Knowledge of Python
- Familiarity with Flask
- Accounts on AWS, Heroku, and DigitalOcean
eb init -p python-3.6 my-flask-app
in your project's root folder.eb create my-flask-env
.eb deploy
.heroku login
.git init
.heroku create
.git add .
and git commit -m "Deploy"
.git push heroku master
.sudo apt-get update
.sudo apt-get install python3-pip python3-dev nginx
.# application.py
from flask import Flask
application = Flask(__name__)
@application.route("/")
def hello():
return "Hello AWS!"
if __name__ == "__main__":
application.run(host='0.0.0.0', port=80)
# app.py
from flask import Flask
app = Flask(__name__)
@app.route("/")
def hello():
return "Hello Heroku!"
if __name__ == "__main__":
app.run()
# main.py
from flask import Flask
app = Flask(__name__)
@app.route("/")
def hello():
return "Hello DigitalOcean!"
if __name__ == "__main__":
app.run(host='0.0.0.0', port=80)
We covered how to deploy a Flask application on AWS, Heroku, and DigitalOcean. We learned how to use the AWS CLI, EB CLI, Heroku CLI, Git, and Nginx.
For further learning:
- Explore AWS, Heroku, and DigitalOcean documentation.
- Learn about Docker for creating containers for your applications.
Solutions:
1. Follow the steps from the "Deploying Flask on Heroku" section.
2. Follow the steps from the "Deploying Flask on AWS" section.
3. Add a database to your Flask app using SQLAlchemy and follow the steps from the "Deploying Flask on DigitalOcean" section.
Remember to practice and explore further to strengthen your understanding and skills.