Build and Monitor Machine Learning Services in Kubernetes


“There are many options to build and deploy machine learning models to production at scale. We’ll walk through the growing suite of tools to centralize model building and deployment at scale, with technologies like Kubeflow, Seldon and TensorRT. Finally, we’ll address techniques for monitoring these new services.

You’ll walk away with an understanding of a complete development lifecycle for scalable machine learning services.”

Speaker

kirk-kaiser

Kirk Kaiser

 

I’m currently at Developer Evangelist at Datadog.

Previously, I was the lead backend developer at Triller, scaling to the app from zero to millions of users, and handling the traffic from the

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