Simply deploy and manage airflow on a small server or personal computer, with bash scripts

• If docker, python and pip have been installed, you can deploy airflow inside any Ubuntu-based system (or Windows Subsystem for Linux), with these command:

cd deployment # go to the `deployment` folder
chmod +x health.sh init.sh kill.sh run.sh wait-backend.sh teardown.sh # allow these scripts to be executed
./init.sh # Initilize postgres server, and create default user "Admin"
./run.sh # Run and connect airflow to postgres server.

• The installed Airflow version will be 2.7.3, and be hosted at the port 8080
• To login as admin user, the user name is "airflow", and password is "airflow"
• Example dags and plugins have been created for you in the folder src/
• For more customization and management, see the below steps.

• *Using a python virtual environment is recommended, you can use the commands below to quickly create and use a python venv

  python3 -m venv airflow-venv # create a virtual env called: airflow-venv
  source ./airflow-venv/bin/activate # activate the virtual environment.

• Please install docker (and docker compose) in your system/server.
• Allow bash cripts to be executed, using chmod:

  cd deployment
  chmod +x health.sh init.sh kill.sh run.sh wait-backend.sh teardown.sh

• config/requirements.txt is for you, to add custom 📦 python packages needed for your DAG
• config/airflow.secret.env is for:
  • 🤓 User login credential
  • 📚 Airflow versions.
  • 📂 Path to your airflow source folder (that will hold dags, plugins, logs, etc.). default is src/
  • 📂 Path to airflow.cfg folder. default is config/airflow.cfg
  • 🔗 Airflow exposed ports
  • 🔐 Your Fernet Key for airflow to encrypt sensitive info
• config/airflow.cfg is for common configurations (without secrets) for airflow, Examples: 🌏timezone

  [core]
  default_timezone = 	Asia/Ho_Chi_Minh # timezone of your apps
  [webserver]
  default_ui_timezone = Asia/Ho_Chi_Minh #timezone of the web UI

• config/postgres.env, is for postgresql database credential, This will be used by docker compose to create a containerized Postgres server, to be used as airflow backend.
• config/docker-compose.yaml is for building postgres server container.

Execute the command: ./deployment/init.sh, to perform these tasks:

• Install neccessary linux packages
• Create the airflow backend (postgres server).
• Connect Airflow to airflow backend
• Create Admin user.

Execute ./deployment/run.sh, to:

• Run the airflow scheduler in the backgound
• Run the airflow webserver in the backgound

• To kill airflow scheduler and webserver (without deleting data): ./deployment/kill.sh
• to check health of airflow (using airflow exposed ports, setup in config/airflow.secret.env): ./deployment/health.sh
• To Fully remove airflow-backend (container, images, mounted volume):

  cd deployment
  ./teardown.sh # you will be prompted to delete the mounted volume and docker image postgres:15