Running Apache Airflow + Docker for Free Using GitHub Codespaces

📰 Dev.to · Tanmay

Learn to run Apache Airflow with Docker using GitHub Codespaces for free, streamlining ETL pipeline development and saving costs

intermediate Published 8 Jun 2026
Action Steps
  1. Set up a GitHub Codespaces environment
  2. Install Docker and Apache Airflow using the Codespaces terminal
  3. Configure Airflow to work with Docker
  4. Run a sample DAG to test the setup
  5. Deploy and manage your ETL pipeline using Airflow
Who Needs to Know This

Data engineers and DevOps teams can benefit from this setup to efficiently manage and automate workflows, while developers can use it to test and deploy their ETL pipelines

Key Insight

💡 GitHub Codespaces provides a free and efficient way to run Apache Airflow with Docker, ideal for ETL pipeline development and testing

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🚀 Run Apache Airflow with Docker for free using GitHub Codespaces! 💸

Key Takeaways

Learn to run Apache Airflow with Docker using GitHub Codespaces for free, streamlining ETL pipeline development and saving costs

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