Introducing Apache Airflow 2.9
- Kenten Danas Manager, Developer Relations
The Airflow 2.9 release brings significant enhancements to user-favorite features like data-aware scheduling, dynamic task mapping, and object storage.
The Airflow 2.9 release brings significant enhancements to user-favorite features like data-aware scheduling, dynamic task mapping, and object storage.
An introduction to testing strategies, best practices, and implementation techniques.
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.
Apache Airflow 2.6 contains over 500 commits from over 130 contributors, adding up to 35 new features, 50 general improvements, and 27 bug fixes.
We are excited to announce the public launch of Kubernetes Executor support in Astro. With this, you can now take advantage of the underpinning power of Kubernetes to manage resources and scale your Airflow workloads.
Ensure that all code changes are deployed within your CI/CD processes, increase code quality, and enforce automated testing.
See why OpenLineage is ascendant and find out how to get an in-person overview of this open-source standard at the upcoming Data Council conference in Austin, Texas.
Astro customers can isolate teams or projects to specific clusters in their data planes, ensuring that data goes where it’s supposed to go.
The K8s Executor offers Astro customers task isolation, efficient resourcing, and simplicity.
The refactored GreatExpectationsOperator boosts ease of use and flexibility.
The updated interface features an overview of recent task and DAG runs and resource guides for new and advanced users.
Today, we shared some important business updates with the company.
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