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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
Authors (2):
Ross Brigoli Ross Brigoli
Profile icon Ross Brigoli
Faisal Masood Faisal Masood
Profile icon 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 Other Books You May Enjoy

Installing OpenShift on AWS

Red Hat OpenShift Service on AWS (ROSA) is a fully managed Red Hat OpenShift platform. ROSA is operated and supported jointly by AWS and Red Hat. With ROSA, you move your focus from managing infrastructure to managing applications and bringing more business value to your organization. ROSA provides an integrated experience for OpenShift cluster creation, a pay-as-you-go (hourly and annual) billing, and a single invoice for AWS deployments. ROSA helps to reduce operational complexity with automated deployment and management, backed by a global Red Hat site reliability engineering (SRE) team.

The workflow for ROSA creation involves many steps. The setup defined here shows you the steps involved in an easy way and for learning purposes. The settings provided here are not recommended for production clusters.

Note

In a production setup, you will need to integrate the platform with your own identity provider (IdP). You may need to configure firewalls...

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