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.

P
Pete DeJoy

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.

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Paola Peraza Calderon

Crash Course: Remote Work for Parents

Self-help guide to working from home with kids.

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Samantha Black

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.

D
Daniel Imberman

Profiling the Airflow Scheduler

Ash explains how he's been benchmarking and profiling the Airflow scheduler using py-spy and Flame Graphs.

A
Ash Berlin-Taylor

Why Airflow?

Airflow continues to win due to an active and expanding community, and very deep, proven functionality.

R
Ry Walker

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.

P
Paola Peraza Calderon

Astronomer v0.10

Announcing v0.10 of the Astronomer platform.

P
Pete DeJoy

Announcing Astronomer v0.9

Release notes for v0.9 of the Astronomer Platform

P
Pete DeJoy

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.

P
Paola Peraza Calderon

Never miss an update from us.

Do Airflow the easy way.

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