A Great Expectations Provider for Apache Airflow
We're pleased to announce an official integration that allows users to leverage Great Expectations natively in their DAGs.
Introducing Airflow 2.0
A breakdown of the major features incorporated in Apache Airflow 2.0, including a refactored, highly-available Scheduler, over 30 UI/UX improvements, a new REST API and much more.
Crash Course: Remote Work for Parents
Self-help guide to working from home with kids.
Introducing KEDA for Airflow
Using KEDA (Kubernetes Event-Driven Autoscaler), we've developed a robust method to scale Apache Airflow workers to be faster and more versatile than any previous architecture.
Profiling the Airflow Scheduler
Ash explains how he's been benchmarking and profiling the Airflow scheduler using py-spy and Flame Graphs.
Airflow continues to win due to an active and expanding community, and very deep, proven functionality.
The Next Generation of Astronomer Cloud
A new release of Astronomer Cloud built to support our latest features and designed to be a first step towards multi-cloud and multi-region support.
Announcing v0.10 of the Astronomer platform.
Announcing Astronomer v0.9
Release notes for v0.9 of the Astronomer Platform
7 Common Errors to Check when Debugging Airflow DAGs
Tasks not running? DAG stuck? Logs nowhere to be found? We’ve been there. Here’s a list of common snags and some corresponding fixes to consider when you’re debugging your Airflow deployment.
Never miss an update from us.
Do Airflow the easy way.