Airflow Orchestrator
How to orchestrate pipelines with Airflow
The Airflow orchestrator is an orchestrator flavor provided with the ZenML airflow integration that uses Airflow to run your pipelines.

When to use it

You should use the Airflow orchestrator if
  • you're already using Airflow
  • you want to run your pipelines locally with a more production-ready setup than the local orchestrator
If you're looking to run your pipelines in the cloud, take a look at other orchestrator flavors.
We're currently reworking the Airflow orchestrator to make sure it works not only locally but also with Airflow instances deployed on cloud infrastructure.

How to deploy it

The Airflow orchestrator works without any additional infrastructure setup.

How to use it

To use the Airflow orchestrator, we need:
  • The ZenML airflow integration installed. If you haven't done so, run
    zenml integration install airflow
We can then register the orchestrator and use it in our active stack:
zenml orchestrator register <NAME> \
--flavor=airflow
# Add the orchestrator to the active stack
zenml stack update -o <NAME>
Once the orchestrator is part of the active stack, we can provision all required local resources by running:
zenml stack up
This command will start up an Airflow server on your local machine that's running in the same Python environment that you used to provision it. When it is finished, it will print a username and password which you can use to login to the Airflow UI here.
You can now run any ZenML pipeline using the Airflow orchestrator:
python file_that_runs_a_zenml_pipeline.py
A concrete example of using the Airflow orchestrator can be found here.
For more information and a full list of configurable attributes of the Airflow orchestrator, check out the API Docs.