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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

Multi-tenancy, resource management, and security

OpenShift clusters are considered shared environments in many mature enterprises. They expect to expand such clusters when needed to accommodate more workloads and re-balance available resources. It is far more cost-effective to share the same OpenShift cluster and consolidate management and operations rather than assign a separate cluster to each tenant. Since such clusters include different types of workloads from different vendors, and applications that require sophisticated access management and security practices, a focus on tenancy is important from the start.

The concept of tenancy itself is very subjective. In some situations, dev-test and production installations may be considered different tenants in the same cluster. In other cases, different departments, or different project use cases, may be treated as individual tenants. When this concept is extended to ISVs operating a cluster on behalf of their clients, each of those...

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