The Astronomer Blog: Data Orchestration Insights & Guides

September 9, 2022

Announcing Astro’s HIPAA and PCI-DSS Compliance

Two more reasons that users who need high levels of data security and protection can count on Astro.

September 1, 2022

How We Track the Growth of Apache Airflow®

Find out how we use data to keep track of what’s happening in the Airflow project.

August 22, 2022

Reimagining Airflow for Data Engineers and Data Scientists with the Astro Python SDK

Discover the Astro Python SDK—an open-source framework for writing Airflow data pipelines.

August 9, 2022

Astro Is Now Available on All Major Cloud Providers

Astro is now available on AWS, Microsoft Azure, and Google Cloud in 47 regions across six continents. Learn more on our blog.

August 5, 2022

Everything You Should Know About Airflow 2.3’s New Grid View

Learn about Airflow 2.3’s new grid view. Find out how to easily visualize complex representations in Airflow’s UI with this long-awaited intuitive feature.

July 14, 2022

The Astronomer Providers Package — A Better Option for Long-Running Tasks

Learn about Astronomer Providers — a collection of open-source operators, hooks, and sensors that allow you to schedule long-running tasks asynchronously.

June 17, 2022

Ventana Research Names Astronomer as a Finalist for Its Digital Innovation Awards

Astronomer is a finalist for the 15th Annual Ventana Research Digital Innovation Awards, recognized for innovative technologies in their markets.

June 10, 2022

Introducing Astro, the Fully Managed Data Orchestration Platform, Powered by Airflow

Discover Astro – the data orchestration platform powered by Airflow. Find out how to build, run, and observe data pipelines efficiently and with context.

June 2, 2022

Introducing New Astro CLI Commands to Make DAG Testing Easier

Learn how the new Astro CLI commands provide a great DAG development experience for Airflow users. Get to know the dev parse and dev pytest commands.

Astronomer Blog

Build, run, & observe your data workflows. All in one place.

Build, run, & observe
your data workflows.
All in one place.