Kubeflow Operations Guide

Managing On-Premises, Cloud, and Hybrid Deployment

By: Josh Patterson, Michael Katzenellenbogen, Austin Harris

Write A Review

Paperback | 22 December 2020

At a Glance

Paperback
303 Pages

Dimensions(cm)
23 x 17.5 x 2

Paperback

RRP $125.50

$55.25

56%OFF

or 4 interest-free payments of $13.81 with

In Stock and Aims to ship in 1-2 business days

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

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.