Running Airflow Tasks in Isolated Environments

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Hosted By

  • Tamara Fingerlin
  • Kenten Danas

This webinar provides an extensive overview of the different options for running Airflow tasks in isolated environments - a Kubernetes pod or Python virtual environment that’s separate from your Airflow environment. The ability to run tasks in an isolated environment helps avoid common data pipeline problems, like dependency conflicts and resource management, and gives DAG authors control over how and where their tasks run. It’s useful, for example, if you need to run a task requiring Python packages that conflict with core Airflow.

Questions covered in the webinar include:

All of the sample code shown in this webinar can be found in this repo.

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