Productionalizing Machine Learning on Kubernetes with AWS EKS and S3

July 15, 2020
from 11:00 AM to 12:00 PM  

About this webinar

A big challenge our customers face is the deployment of machine learning models to production in enterprise environments.

This requires dealing with a complex set of moving workloads through different pipelines. Once the machine learning models are developed, they need to be trained, deployed, monitored and kept track of.

Key takeaways

In this session Data Reply shows, how using AWS EKS, Kubeflow and Seldon enables us to productionalize the deployment of Machine Learning models including CI/CD pipelines, Model Registry and Inference layer using a microservice architecture.

  • Learn about usage patterns for Kubernetes for training and serving machine learning applications.
  • Take away concrete architecture blueprint.
  • Learn, how to get started in designing Machine Learning applications for production.

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