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

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Installing Redis on Red Hat OpenShift

Redis is a super-fast in-memory database. Redis provides a key-value store with different data structures, such as lists, for the applications to use. In our case, the video generates a lot of frames and our application will infer these frames and keep a count of frames/images with faces. So, we decided to use Redis to keep an atomic counter.

OpenShift will host the Redis server. You will find the complete non-production Redis setup in the chapter7/redis/redis-server.yaml file. Open the file and paste it into the OpenShift GUI while you are in the face-detection project. Hit the Create button and you will have a running Redis cluster on your platform. The following screenshot shows redis-server.yaml in the OpenShift UI.

Figure 7.11 – Installing the Redis server

Validate that the server is running by checking the services section of the OpenShift console within the wines project, identify the Pods, and validate...

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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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