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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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Introduction to OpenShift

Although this book is not about operationalizing the OpenShift platform, a basic introduction to the platform is helpful. In this section, you will learn about the core concepts of Kubernetes and OpenShift.

OpenShift is a complete application platform based on Kubernetes. It is also categorized as Enterprise Kubernetes. Kubernetes provides a solid foundation for container hosting and orchestration. Moreover, Kubernetes provides core functionalities, such as cluster-state management, where a reconcile loop makes sure that the cluster state and the desired state are in sync. Kubernetes also includes a set of APIs to interact with the cluster. Kubernetes is a great platform, but in reality, applications need much more than just the core services provided by Kubernetes.

Assume that you want to deploy a Python application on a Kubernetes cluster. Let’s assess what is required. First, you need to package your application as a container image. Secondly...

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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.

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