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IBM Cloud Pak for Data

You're reading from   IBM Cloud Pak for Data An enterprise platform to operationalize data, analytics, and AI

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Product type Paperback
Published in Nov 2021
Publisher Packt
ISBN-13 9781800562127
Length 336 pages
Edition 1st Edition
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Authors (3):
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Hemanth Manda Hemanth Manda
Author Profile Icon Hemanth Manda
Hemanth Manda
Sriram Srinivasan Sriram Srinivasan
Author Profile Icon Sriram Srinivasan
Sriram Srinivasan
Deepak Rangarao Deepak Rangarao
Author Profile Icon Deepak Rangarao
Deepak Rangarao
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: The Basics
2. Chapter 1: The AI Ladder – IBM's Prescriptive Approach FREE CHAPTER 3. Chapter 2: Cloud Pak for Data: A Brief Introduction 4. Section 2: Product Capabilities
5. Chapter 3: Collect – Making Data Simple and Accessible 6. Chapter 4: Organize – Creating a Trusted Analytics Foundation 7. Chapter 5: Analyzing: Building, Deploying, and Scaling Models with Trust and Transparency 8. Chapter 6: Multi-Cloud Strategy and Cloud Satellite 9. Chapter 7: IBM and Partner Extension Services 10. Chapter 8: Customer Use Cases 11. Section 3: Technical Details
12. Chapter 9: Technical Overview, Management, and Administration 13. Chapter 10: Security and Compliance 14. Chapter 11: Storage 15. Chapter 12: Multi-Tenancy 16. Other Books You May Enjoy

Secure operations in a shared environment

In traditional systems, many applications share the same operating system, be it a virtual machine or bare metal. However, for security reasons, these applications are typically never granted access to the operating system or run as root. Since many programs, from different products or vendors, would be operating on the same machine, care is also taken to isolate each of these operating system processes from each other.

While it has been common to simply spin up a separate virtual machine for each application to completely isolate them, it was also expensive to operate and could possibly lead to a waste of compute resources. Containers have proven to be much less expensive in the long run, but there is a trade-off with regard to less isolation of workloads. In this section, we will look at how the stack enables security from the ground up, starting with the host operating system in the cluster, to OpenShift security constructs as well as...

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