Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Kubeflow Operations Guide: Managing Cloud and On-Premise Deployment

Kubeflow Operations Guide: Managing Cloud and On-Premise Deployment

Katzenellenbogen, Michael
Harris, Austin
Patterson, Josh

Paperback

General ComputersProgramming

Publisher Price: $65.99

ISBN10: 1492053279
ISBN13: 9781492053279
Publisher: Oreilly Media
Published: Jan 12 2021
Pages: 301
Weight: 1.10
Height: 0.70 Width: 7.00 Depth: 9.10
Language: English

Building models is a small part of the story when it comes to deploying machine learning applications. The entire process involves developing, orchestrating, deploying, and running scalable and portable machine learning workloads--a process Kubeflow makes much easier. This practical book shows data scientists, data engineers, and platform architects how to plan and execute a Kubeflow project to make their Kubernetes workflows portable and scalable.

Authors Josh Patterson, Michael Katzenellenbogen, and Austin Harris demonstrate how this open source platform orchestrates workflows by managing machine learning pipelines. You'll learn how to plan and execute a Kubeflow platform that can support workflows from on-premises to cloud providers including Google, Amazon, and Microsoft.

  • Dive into Kubeflow architecture and learn best practices for using the platform
  • Understand the process of planning your Kubeflow deployment
  • Install Kubeflow on an existing on-premise Kubernetes cluster
  • Deploy Kubeflow on Google Cloud Platform, AWS, and Azure
  • Use KFServing to develop and deploy machine learning models

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