Book Image

MLOps with Red Hat OpenShift

By : Ross Brigoli, Faisal Masood
Book Image

MLOps with Red Hat OpenShift

By: Ross Brigoli, Faisal Masood

Overview of this book

MLOps with OpenShift offers practical insights for implementing MLOps workflows on the dynamic OpenShift platform. As organizations worldwide seek to harness the power of machine learning operations, this book lays the foundation for your MLOps success. Starting with an exploration of key MLOps concepts, including data preparation, model training, and deployment, you’ll prepare to unleash OpenShift capabilities, kicking off with a primer on containers, pods, operators, and more. With the groundwork in place, you’ll be guided to MLOps workflows, uncovering the applications of popular machine learning frameworks for training and testing models on the platform. As you advance through the chapters, you’ll focus on the open-source data science and machine learning platform, Red Hat OpenShift Data Science, and its partner components, such as Pachyderm and Intel OpenVino, to understand their role in building and managing data pipelines, as well as deploying and monitoring machine learning models. Armed with this comprehensive knowledge, you’ll be able to implement MLOps workflows on the OpenShift platform proficiently.
Table of Contents (13 chapters)
Free Chapter
1
Part 1: Introduction
3
Part 2: Provisioning and Configuration
6
Part 3: Operating ML Workloads

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...