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)
1
Section 1: The Basics
4
Section 2: Product Capabilities
11
Section 3: Technical Details

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...