Uber's Michelangelo: Strategic AI Overhaul and Impact // MLOps podcast

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  • Опубликовано: 4 окт 2024

Комментарии • 5

  • @matthewrice7590
    @matthewrice7590 3 месяца назад +1

    Thanks for the overview! Michelangelo seems like quite the feat of engineering. Major kudos to the engineers who designed and built this out.
    Would be awesome to get more insight into how they calculated the trade-off between costs associated with the long-term development/maintenance/management of a custom system like this versus using something off the shelf and fully managed like Sagemaker/VertexAI/etc. Obviously you are going to be paying a premium for something like Sagemaker, but I can't help but be skeptical that going with a custom approach like this would pay-off in the long term considering the significant engineering effort that must go into ongoing development and refinement, especially when considering the immense complexity of a system like this. Maybe I'm just not thinking big enough haha

    • @CarlosMatiasdelaTorre
      @CarlosMatiasdelaTorre 3 месяца назад

      For somewhat big companies building an internal dev platform makes a lot of sense to avoid vendor lock-in, ensure long term support, abstract services, ensure compliance across geographies, improve security and cost management, etc.
      For smaller companies it may not be the same.

    • @matthewrice7590
      @matthewrice7590 3 месяца назад

      @@CarlosMatiasdelaTorre good points!

  • @CarlosMatiasdelaTorre
    @CarlosMatiasdelaTorre 3 месяца назад

    Demetrios, my man, I loved the format. Now I'm off to read the post 😅

    • @MLOps
      @MLOps  3 месяца назад

      letsss gooooooo! i am going to start trying to do more of these! thanks for the support!