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You're reading from  MLOps with Red Hat OpenShift

Product typeBook
Published inJan 2024
PublisherPackt
ISBN-139781805120230
Edition1st Edition
Concepts
Machine Learning
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Authors (2):
Ross Brigoli
Ross Brigoli
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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.
Read more about Ross Brigoli

Faisal Masood
Faisal Masood
author image
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.
Read more about Faisal Masood

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Optimizing cost for your ML platform

In this section, you will learn how to use different OpenShift capabilities with Red Hat Data Science to optimize the cost for your platform. While we will not dive deep into this topic, we will provide you with some basic concepts to continue optimizing your platform resources.

When you run any software on the Red Hat OpenShift platform, such as a Jupyter notebook, build pipelines, and model serving, all of it runs as containers on the platform. These containers run on the machines or worker nodes, which could be a VM in a cloud platform such as Amazon EC2. Let’s see how OpenShift provisions machines to run containers for your MLOps needs.

Machine management in OpenShift

Machine management is OpenShift’s capability to work with the cloud or on-premises infrastructure providers, such as Amazon Web Services (AWS) or VMware (VMW), and to provision and scale the machines for your workloads. OpenShift adapts to changing workloads...

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MLOps with Red Hat OpenShift
Published in: Jan 2024Publisher: PacktISBN-13: 9781805120230
© 2024 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
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.
Read more about Ross Brigoli

author image
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.
Read more about Faisal Masood

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