elizabethadegbaju/CDK-Airflow-on-Fargate

Deployment of Airflow on Fargate with AWS Python CDK

Airflow on Fargate with AWS Python CDK

Architecture

The architecture of the infrastructure to be deployed on AWS is shown below.

Prerequisites

The cdk.json file tells the CDK Toolkit how to execute your app.

This project is set up like a standard Python project. The initialization process also creates a virtualenv within this project, stored under the .venv directory. To create the virtualenv it assumes that there is a python3 executable in your path with access to the venv package.

Getting Started

To manually create a virtualenv on MacOS and Linux:

make install

If for any reason the automatic creation of the virtualenv fails, you can create the virtualenv manually.

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements-dev.txt

AWS CDK

Because AWS CDK is written in Typescript, you need to have node installed. I would not recommend to install AWS CDK globally, due to version collision. With having node installed,you should also have npx.

Commands

At this point you can now synthesize the CloudFormation template for this code.

make synth # or `npx cdk synth`

Before deploying to a real AWS Environment, you need to export your credentials

and run

make deploy # alternatively: cdk deploy

or you pass a profile (should be properly configured aws configure)

make deploy PROFILE=my-profile

Useful commands

• npx cdk ls list all stacks in the app
• npx cdk synth emits the synthesized CloudFormation template
• npx cdk deploy deploy this stack to your default AWS account/region
• npx cdk diff compare deployed stack with current state
• npx cdk docs open CDK documentation
• npx cdk watch watch files and autodeploy it
• npx cdk destroy delete your stack

You can also extend your Makefile.

Troubleshooting

Sometimes it helps to remove the cdk.out and do cdk synth again.

Enjoy!