Book Image

IBM Cloud Pak for Data

By : Hemanth Manda, Sriram Srinivasan, Deepak Rangarao
3 (1)
Book Image

IBM Cloud Pak for Data

3 (1)
By: Hemanth Manda, Sriram Srinivasan, Deepak Rangarao

Overview of this book

Cloud Pak for Data is IBM's modern data and AI platform that includes strategic offerings from its data and AI portfolio delivered in a cloud-native fashion with the flexibility of deployment on any cloud. The platform offers a unique approach to addressing modern challenges with an integrated mix of proprietary, open-source, and third-party services. You'll begin by getting to grips with key concepts in modern data management and artificial intelligence (AI), reviewing real-life use cases, and developing an appreciation of the AI Ladder principle. Once you've gotten to grips with the basics, you will explore how Cloud Pak for Data helps in the elegant implementation of the AI Ladder practice to collect, organize, analyze, and infuse data and trustworthy AI across your business. As you advance, you'll discover the capabilities of the platform and extension services, including how they are packaged and priced. With the help of examples present throughout the book, you will gain a deep understanding of the platform, from its rich capabilities and technical architecture to its ecosystem and key go-to-market aspects. By the end of this IBM book, you'll be able to apply IBM Cloud Pak for Data's prescriptive practices and leverage its capabilities to build a trusted data foundation and accelerate AI adoption in your enterprise.
Table of Contents (17 chapters)
Section 1: The Basics
Section 2: Product Capabilities
Section 3: Technical Details

Chapter 12: Multi-Tenancy

Multi-tenancy is a software architecture design where multiple users or organizations share the same instance of the software and its underlying resources. This is a standard practice with Software-as-a-Service (SaaS) offerings, such as Cloud Pak for Data as a service in the IBM Cloud, but the interpretation of tenancy and how this tenancy is implemented can vary widely on-premises or in private clouds. Security and compliance requirements in the enterprise, as well as the quality of service assurances, play a significant role in deciding how much can be shared.

Nowadays, it is a fundamental expectation that any true cloud-native platform stack enables at least some level of multi-tenant sharing out of the box. Supporting a new project or initiative can be accelerated just by reusing the existing shared infrastructure. Trivially, you could assume assigning independent virtual machines (VMs) to each tenant would be sufficient to achieve multi-tenancy –...