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MLOps with Red Hat OpenShift

You're reading from MLOps with Red Hat OpenShift

Product type Book

Published in Jan 2024

Publisher Packt

ISBN-13 9781805120230

Pages 238 pages

Edition 1st Edition

Languages

Concepts

Machine Learning

Authors (2):

Ross Brigoli

Faisal Masood

View More author details

Table of Contents (13) Chapters

Preface

Part 1: Introduction

Chapter 1: Introduction to MLOps and OpenShift

Part 2: Provisioning and Configuration

Chapter 2: Provisioning an MLOps Platform in the Cloud

Chapter 3: Building Machine Learning Models with OpenShift

Part 3: Operating ML Workloads

Chapter 4: Managing a Model Training Workflow

Chapter 5: Deploying ML Models as a Service

Chapter 6: Operating ML Workloads

Chapter 7: Building a Face Detector Using the Red Hat ML Platform

Index

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Installing partner software on RedHat ODS

In order to complete our MLOps platform, we will need to install additional tools to OpenShift to complement the features of ODS. Several tools are considered partner software of the ODS platform. These software products are listed in the ODS console and can be viewed by clicking the Explore menu item in the ODS console, as shown in Figure 2.34:

Figure 2.34 – ODS console showing partner software

Figure 2.34 – ODS console showing partner software

One of the things that you will need to complete the MLOps platform is data versioning, and you will need data lineage too. We will use Pachyderm for this need.

Pachyderm is a powerful OSS tool designed to manage data in modern data pipelines. It serves as a data versioning and lineage system, enabling efficient tracking and control of data changes throughout the data processing life cycle.

With Pachyderm, you can easily keep track of modifications made to your data, similar to how version control systems ...

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Authors (2)

Ross Brigoli

Ross Brigoli is a consulting architect at Red Hat, where he focuses on designing and delivering solutions around microservices architecture, DevOps, and MLOps with Red Hat OpenShift for various industries. He has two decades of experience in software development and architecture.

See other products by Ross Brigoli

Faisal Masood

Faisal Masood is a cloud transformation architect at AWS. Faisal's focus is to assist customers in refining and executing strategic business goals. Faisal main interests are evolutionary architectures, software development, ML lifecycle, CD and IaC. Faisal has over two decades of experience in software architecture and development.

See other products by Faisal Masood

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