You're reading from MLOps with Red Hat OpenShift

Product typeBook

Published inJan 2024

PublisherPackt

ISBN-139781805120230

Edition1st Edition

Concepts

Machine Learning

Authors (2):

Ross Brigoli

Faisal Masood

View More author details

References

Model serving via model mesh: https://kserve.github.io/website/0.8/modelserving/mms/modelmesh/overview/

Alibi library to explain the model outcome: https://kserve.github.io/website/0.8/modelserving/detect/alibi_detect/alibi_detect/

How OpenShift scales the cluster: https://docs.openshift.com/container-platform/4.13/machine_management/applying-autoscaling.html

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MLOps with Red Hat OpenShift

Published in: Jan 2024Publisher: PacktISBN-13: 9781805120230

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.
Read more about 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.
Read more about Faisal Masood

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