Why We Built Our Data Platform on AWS, and Why We Rebuilt It With Open Source

Astronomer, originally pivoted from USERcycle, transformed its focus to address data infrastructure challenges by building a robust platform on AWS, leveraging open-source technologies and JavaScript to manage machine learning and analytical workloads efficiently. Initially, the platform aimed to facilitate real-time data ingestion and processing for clients, using AWS services like API Gateway and Lambda, alongside microservices for modularity. As the demand for more comprehensive data integration grew, Astronomer developed an ETL platform, exploring various open-source solutions before adopting Airflow, now integrated with Apache Mesos and Marathon for scalable workflow management. This strategic shift allowed Astronomer to pursue a portable, cross-infrastructure system, reducing reliance on specific IaaS providers and enhancing flexibility and control. By transitioning to a Docker-based architecture with REX-Ray for persistent storage, Astronomer ensured data durability and system resilience, setting the stage for future expansion and enhanced service offerings.

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