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

Building custom notebooks

Though RHODS comes with a few in-built notebooks that you can use, you may require a different library version and/or dependency, or you may want to add your organization certificates to the notebook. The point is there can be many reasons why the provided notebooks may require some tuning.

In this section, you will learn how to tune the existing notebook images, import third-party notebook images, and create your custom notebook images.

RHODS allows you to bring notebook images into the platform, either by importing an existing container image from a registry such as DockerHub, Quay, or any other container registry, or by customizing an existing notebook image. Let’s look at how to create custom notebook images and import them into RHODS.

Creating a custom notebook image

Creating custom notebook images follows a standard container image build process. This involves creating a Dockerfile that describes how the container image is to be built...