DoK Talks #73- Build Reproducible Experiments with Kubeflow and lakeFS

Data on Kubernetes
Thu, Aug 12, 9:00 AM (PDT)

About this event

Kubeflow is a cloud-native ML platform that simplifies the training and deployment of machine learning pipelines on Kubernetes. lakeFS is wrapper layer around an object store that enables git-like operations such as branching and committing over datasets. Learn how to build ML workflows that are portable, scalable, and reproducible by integrating lakeFS operations into your Kubeflow pipeline components

Speaker

  • Barak Amar

    Barak Amar

    Treeverse

    Software Engineer

    Barak is a software developer of the open source lakeFS project at Treeverse. He has more than 15 years of experience in a wide range of systems, from scheduling to security. He’s passionate about three things: programming languages, distributed systems, and long-distance running.

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  • Host

  • Bart Farrell

    Bart Farrell

    Data on Kubernetes

    Community Builder

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  • Organizers

  • Ihor Dvoretskyi

    Ihor Dvoretskyi

    Cloud Native Computing Foundation

    Organizer

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  • Bart Farrell

    Bart Farrell

    Data on Kubernetes Community

    Organizer

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  • Melissa Logan

    Melissa Logan

    Organizer

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  • Diogenese Topper

    Diogenese Topper

    Organizer

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  • Iker Arce

    Iker Arce

    Organizer

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