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Cloud Native Data Orchestration For Machine Learning And Data Engineering With Flyte

Cloud Native Data Orchestration For Machine Learning And Data Engineering With Flyte

Episode 291 Published 3 years, 9 months ago
Description

Summary

Machine learning has become a meaningful target for data applications, bringing with it an increase in the complexity of orchestrating the entire data flow. Flyte is a project that was started at Lyft to address their internal needs for machine learning and integrated closely with Kubernetes as the execution manager. In this episode Ketan Umare and Haytham Abuelfutuh share the story of the Flyte project and how their work at Union is focused on supporting and scaling the code and community that has made Flyte successful.

Announcements

  • Hello and welcome to the Data Engineering Podcast, the show about modern data management
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  • Your host is Tobias Macey and today I’m interviewing Ketan Umare and Haytham Abuelfutuh about Flyte, the open source and kubernetes-native orchestration engine for your data systems

Interview

  • Introduction
  • How did you get involved in the area of data management?
  • Can you describe what Flyte is and the story behind it?
  • What was missing in the ecosystem of available tools that made it necessary/worthwhil
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