DEV348: Undifferentiated Heavy Lifting from CI/CD Toolsets w/ Corteva - a podcast by AWS

Cloud engineering teams at Corteva Agriscience, Agriculture Division of DowDuPont, have a challenge: how to support a global business of research scientists and software developers in building a world-class innovation organization. Modern agriculture produces larger and more varied data types, so their approach must be not only scalable and flexible, but also commit to operational excellence while remaining adoptable. This session will walk through how Corteva Agriscience builds container-based infrastructures with CI/CD pipelines that remove undifferentiated heavy lifting and allow teams to empower developers. Members of the cloud engineering team will discuss problems they face, solutions they implement, and show an example of how they leverage AWS services (AWS CodeCommit, AWS CodePipeline, AWS CloudFormation, AWS Fargate) to deploy a novel machine learning algorithm for scoring genetic markers.

Further episodes of AWS re:Invent 2018

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