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DockerCon 2019
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310981 - Kubernetes Best Practices: Deploying ML workloads at Visa using Docker Enterprise

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Session Description

How do you run on-premises Kubernetes on bare metal? What are the best practices to deploy workloads, including machine learning?

Visa uses Docker Enterprise to deliver multi-tenant Kubernetes for various Visa workloads, including machine learning and deep learning tools for our data science teams. In this talk, the Visa and Docker team will share what they’ve learned about running on-premises Kubernetes on bare metal, and some of the best practices around operating Kubernetes. We'll explain how those workloads can run in Docker containers, best practices for networking, security, logging and monitoring, along with the issues we encountered and how we resolved them. We’ll also show how to ingrate NVIDIA GPU’s along with demo of implementing Kubeflow (Alpha) on top of Docker Enterprise with Kubernetes.


Additional Information
Using Docker for IT Infra & Ops
Breakout
40 minutes
Session Schedule
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