This chapter explores the complexities of handling large datasets and presents a novel infrastructure solution for executing tasks closer to data sources. It emphasizes the significance of geographic and computational factors in enhancing processing efficiency, latency reduction, and improved security in multi-region environments.
Large datasets require large computational resources to process that data. More frequently, where you process that data geographically can be just as important as how you process it.
Expanso provides job execution infrastructure that runs jobs where data resides, to help reduce latency and improve security and data governance.
David Aronchick is the CEO of Expanso. He previously worked at Google on the Kubernetes team, which influenced his decision to start Expanso. David joins the show to talk about his company.
This episode is hosted by Lee Atchison. Lee Atchison is a software architect, author, and thought leader on cloud computing and application modernization. His best-selling book, Architecting for Scale (O’Reilly Media), is an essential resource for technical teams looking to maintain high availability and manage risk in their cloud environments.
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