When deploying Airflow in a local development environment, Docker Compose is often used for its simplicity and convenience. Related documentationĪpache Airflow is a powerful platform for programmatically authoring, scheduling, and monitoring workflows. Getting Helpįor assistance, reach out to the #production-docker-image channel on Airflow Slack or consult the GitHub issues page for Airflow.īy following these guidelines, you can deploy Apache Airflow using Docker Compose in a production environment with confidence. Regularly update your Airflow image and dependencies to incorporate security patches and new features. Set up monitoring and logging to observe resource usage and troubleshoot issues. Managing DAGsįor production, consider baking DAGs into the Docker image or mounting them as volumes to facilitate updates without rebuilding the image. Initialize the database and create an admin user with the following commands: docker-compose up airflow-initĪccess the Airflow web UI at with the default credentials ( airflow/ airflow). env file or directly in the docker-compose.yaml. Set the necessary environment variables in a. Persistent Storageįor production, it's crucial to configure persistent storage for databases and logs to prevent data loss. Run docker compose build to create your custom image.Ĭonfigure docker-compose.yaml to allow Airflow services to communicate with external services, such as databases or other containers.Place your requirements.txt in the same directory and list all the necessary Python packages.RUN pip install apache-airflow=$ -r requirements.txt Create a Dockerfile and use it to build your custom image: FROM apache/airflow:2.6.1 To add custom dependencies or configurations, you can extend the official Airflow Docker image. Initialize the database and start all services: Set the AIRFLOW_UID environment variable:Įcho -e "AIRFLOW_UID=$(id -u)" >.Create directories for DAGs, logs, and plugins: Download the docker-compose.yaml file provided by the Airflow community:Ĭurl -LfO ' ' 2. Ensure Docker has at least 4 GB of memory allocated.Install Docker and Docker Compose on your system.Below is a comprehensive guide to get you started: Prerequisites Deploying Apache Airflow using Docker Compose involves several key steps to ensure a smooth and efficient setup.
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