A reference project to deploy a Python Flask app onto Amazon ECS on AWS Fargate with Terraform. Inspired by this AWS tutorial
A todo app creating, and retrieving data from Amazon RDS
- Make sure you have installed Python 3, pip, Terraform, AWS CLI, and configured a
default
AWS CLI profile (see doc here)
terraform -help # prints Terraform options
which aws # prints /usr/local/bin/aws
aws --version # prints aws-cli/2.0.36 Python/3.7.4 Darwin/18.7.0 botocore/2.0.0
aws configure # configure your AWS CLI profile
python3 --version # prints Python 3 version
pip3 --version # prints pip version
- In a seperate terminal window, run
docker-compose -f docker-compose.dev.yml up
to run PostgreSQL database inside a container. Then, return to the original terminal window and run the following commands:
virtualenv -p /usr/bin/python3 venv # create new virtual environment venv
source venv/bin/activate # activate venv
pip3 install -r requirements.txt # installs python packages
python3 manage.py # visit app at http://localhost:5000/ping
deactivate # deactivates venv
pip3 install boto # installs new Python package
pip3 freeze > requirements.txt # updates requirements.txt
- Run
docker-compose up
to start app in container. Alternatively, you may choose to build, and run theapi
app image:
docker build -t matlau/python-flask-aws:latest . # build Docker image
docker run -p 5000:5000 matlau/python-flask-aws # visit app at http://localhost:5000/ping
-
Create an S3 bucket to store Terraform state. Populate bucket name in
01-main.tf
-
Create a secret on AWS Secrets Manager named
RDSPostgresPassword
with keyPOSTGRES_PASSWORD
, and your database password as value -
Populate
terraform.tfvars
:
default_region = "<YOUR_AWS_DEFAULT_REGION>"
app_name = "<GIVE_YOUR_APP_A_NAME!>"
environment = "<ENVIRONMENT_NAME>"
cd deploy # change to deploy directory
terraform init # initialises Terraform
terraform apply # deploys AWS stack. See output for API url
terraform destroy # destroys AWS stack
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate
If you find this project helpful, please give a ⭐ or even better buy me a coffee ☕ 👇 because I'm a caffeine addict 😅