Cloud Pak_General

Question 1

Cloud Paks

Answer 1

IBM had in the past as on-premises license software, and are designed to support variety of use cases:

WebSphere Hybrid Edition (formerly Cloud Pak for Application) - helps developers to build, deploy and run applications in microservices framework, it includes everything you need to modernize your app portfolio
Cloud Pak for Business Automation - automates business processes and streamline operations, it helps to digitize and automate more types of work at scale
Cloud Pak for Data - accelerates the shift toward artificial intelligence (AI) usage, it simplifies and automates how you collect, organize, analyze, and infuse data across your business
Cloud Pak for Integration - helps integration specialists, it connects systems and applications for better decisions
Cloud Pak for Watson AIOps - designed for proactive multicloud management, it helps to securely automate end-to-end lifecycle management
Cloud Pak for Security - helps you find and respond to threats and risk and enables you to assess hidden threats, make more informed risk-based decisions, and respond to incidents faster

Question 2

Cloud Pak 4 Data

Answer 2

Consolidate software

From The Cloud Pak for Data platform you can access services that span the entire analytics lifecycle. It means that within the tool you can: collect, analyze and organize data, and infuse the Machine Learning models into applications. IBM Cloud Pak for Data gives the power to “lift and shift” data and AI workloads to its platform, and eliminate the expensive need to integrate competitive solutions.

Question 3

Cloud Pak 4 Data

Answer 3

Cloud Pak for Data brings Red Hat OpenShift’s container management and orchestration which gives flexibility to run on top of any private, public cloud, or hybrid cloud infrastructure based on a microservices architecture. That helps reduce administration expenses and simplifies provisioning.

Question 4

Container

Answer 4

A container is an executable package of software that includes everything (e.g. libraries and binaries) needed to run it.

Question 5

Kubernetes

Answer 5

Kubernetes is an open-source container orchestration system. It automates some maintenance tasks required for containers and provides features like self-healing, load balancing and horizontal scaling (these concepts will be explained later in this course).

Question 6

Pod

Answer 6

Pod is the smallest deployable unit of computing that can be made up of one or more containers.

Question 7

Node

Answer 7

Node is a server that hosts applications in a Kubernetes cluster.

Question 8

Kubelet

Answer 8

Kubelet is the primary node agent for launching and monitoring containers.

Question 9

MicroServices

Answer 9

Microservices (or microservices architecture) are a cloud native architectural approach in which a single application is composed of many loosely coupled and independently deployable smaller components, or services.

Question 10

Red Hat OpenShift

Answer 10

Red Hat OpenShift Container Platform is Kubernetes extension which provides enterprise-ready enhancements to Kubernetes.

Question 11

Red Hat Enterprise Linux CoreOS

Answer 11

Red Hat Enterprise Linux CoreOS is a lightweight operating system designed specifically for managing containers.

Question 12

Microservice

Answer 12

You can think of a microservice as a simple entity, performing a single function, or a service. Different microservices can connect to the single user interface.

Question 13

Operator

Answer 13

An operator is an application that manages other applications and does not have user functionality. It adds the important functional value to the Red Hat OpenShift Container Platform. With operators you can deploy applications and their components, without the need for manual upgrades of operating system and control plane applications. They enable simplified, cluster-wide management of critical components.