The latest insights from our team of Apache Airflow® experts.
Learn how Robinhood scaled mission-critical financial workflows with Airflow, from trading to clearing, migration strategies, and future plans.
Learn how Ford’s Mach1ML platform, powered by Airflow and Astronomer, delivers scalable, efficient MLOps for AI-driven innovation and next-gen vehicles.
Discover how Instacart scaled Apache Airflow to handle 2,200 pipelines and 16 million tasks monthly with custom tools, IaC, and centralized management.
This guide covers best practices for everything from choosing the right Airflow deployment model to configuring your DAGs for optimal performance.
The new provider will make it easier for organizations to use Airflow to automate and manage their Fivetran pipelines.
We are excited to announce the partnership between Astronomer and Snowflake, aimed at revolutionizing the way organizations leverage data and execute their data pipelines.
Use Apache Airflow® with DuckDB and MotherDuck in three different ways. Access the DuckDB Python package directly, leverage the DuckDB Airflow provider, and use DuckDB with the Astro Python SDK.
Use ~1,000 open-source Airflow operators and define your own custom operators in the Astro Cloud IDE with the newly released cell type functionality
Looking for alternatives to MWAA for more efficient data pipeline workflow management? Explore the top 7 data orchestration tools and workflow management solutions for seamless productivity. Find the best fit for your business needs.
Picking the right tools for your data stack depends on your exact business and engineering needs, and the choice may seem daunting. Thankfully, there are several popular tools, each with thousands of users, all with a unique approach for managing data pipelines.
Migrating the Astronomer Registry’s backend from Airtable to Postgres and a Golang REST API
This new functionality in Astro lets you easily implement DAG-level or task-level alerts to be sent to Slack or PagerDuty.
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