Airflow in Action: DataOps Insights from 2,200 Pipelines at Instacart
- M Matthew Keep
Discover how Instacart scaled Apache Airflow to handle 2,200 pipelines and 16 million tasks monthly with custom tools, IaC, and centralized management.
The latest insights from our team of Apache Airflow® experts.
Discover how Instacart scaled Apache Airflow to handle 2,200 pipelines and 16 million tasks monthly with custom tools, IaC, and centralized management.
Explore how the Texas Rangers and Philadelphia Phillies use Airflow to revolutionize data orchestration and ML, driving faster insights and a competitive edge.
When data is your product, your pipelines are supply chains.
Learn more about Airflow-driven data quality checks, their benefits, and design. Find out how data quality issues are detected and solved at Astronomer.
Learn what the new upgraded Astro Python SDK 1.1 offers to Airflow users. Find out more about data-driven scheduling, dynamic tasks, and Redshift support.
Learn how Astro, the modern Airflow-powered data orchestration platform, helped Astronomer build a fully coordinated data ecosystem.
Learn how to tune the data system and have critical data products ready on time with micropipelines. See how to make DAG authoring easier with Airflow 2.4.
Hear from Steven Hillion and Taylor Merrick about how our data scientists combine tooling and process to encourage company-wide data product development.
Learn how Astronomer is using the new data-driven scheduling feature in Airflow 2.4. See how it benefits DAG authors and helps solve timing problems.
Learn all about the Astro CLI — the free, open source tool that makes it easy to install, run, and test Apache Airflow® from your command line.
Discover the newly released Apache Airflow® 2.4. Find out how its new data-driven scheduling logic enables faster and easier delivery of data.
Hear from Astronomer’s Senior Vice President of R&D about how data orchestration and observability improve the quality and reliability of dataflows.
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