2min chapter

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Griffin, ML Platform at Instacart // Sahil Khanna // MLOps Podcast #145

MLOps.community

CHAPTER

We Don't Rebuild a New Feature Pipeline in Production

We do support users creating their custom models and applications. The only thing is they have to use that on the interfaces which we have created in order to integrate it. So all the feature pipeline in there, the computes if a compute feature based on some query or something and then store data in a dev environment. Then once the pipeline is working fine, we just export that data to productions and this feature is production is now it's immutable. You can't change it. And that kind of a little bit more on there, and there's less problems if it comes with that. Yeah.

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