Introducing Apache Airflow 2.9
The Airflow 2.9 release brings significant enhancements to user-favorite features like data-aware scheduling, dynamic task mapping, and object storage.
Ensuring Data Pipeline Integrity: A Comprehensive Guide to Testing Airflow DAGs
An introduction to testing strategies, best practices, and implementation techniques.
Introducing Cohort 2 of the Astronomer Champions Program for Apache Airflow!
Our beta cohort of 10 is now joined by 23 hand-selected individuals who, we believe, truly embody what it means to champion the Apache Airflow Project.
The Airflow 2.0 Scheduler
A technical deep-dive into Apache Airflow's refactored Scheduler, now significantly faster and ready for scale.
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.
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.
Why Airflow?
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.
Astronomer v0.10
Announcing v0.10 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.
