Book Image

Multi-Cloud Strategy for Cloud Architects - Second Edition

By : Jeroen Mulder
Book Image

Multi-Cloud Strategy for Cloud Architects - Second Edition

By: Jeroen Mulder

Overview of this book

Are you ready to unlock the full potential of your enterprise with the transformative power of multi-cloud adoption? As a cloud architect, you understand the challenges of navigating the vast array of cloud services and moving data and applications to public clouds. But with 'Multi-Cloud Strategy for Cloud Architects, Second Edition', you'll gain the confidence to tackle these complexities head-on. This edition delves into the latest concepts of BaseOps, FinOps, and DevSecOps, including the use of the DevSecOps Maturity Model. You'll learn how to optimize costs and maximize security using the major public clouds - Azure, AWS, and Google Cloud. Examples of solutions by the increasingly popular Oracle Cloud Infrastructure (OCI) and Alibaba Cloud have been added in this edition. Plus, you will discover cutting-edge ideas like AIOps and GreenOps. With practical use cases, including IoT, data mining, Web3, and financial management, this book empowers you with the skills needed to develop, release, and manage products and services in a multi-cloud environment. By the end of this book, you'll have mastered the intricacies of multi-cloud operations, financial management, and security. Don't miss your chance to revolutionize your enterprise with multi-cloud adoption.
Table of Contents (23 chapters)
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Evaluating cloud service models

In the early days, the cloud was merely another datacenter that hosted a multitude of customers, sharing resources such as compute power, network, and storage. The cloud has evolved over the years, now offering a variety of service models. In this section, you will learn the fundamentals of these models.


IaaS is likely still the best-known service model of the cloud. Typically, enterprises still start with IaaS when they initiate the migration to cloud providers. In practice, this means that enterprises perform a lift and shift of their (virtual) machines to resources that are hosted in the cloud. The cloud provider will manage only the infrastructure for the customer: network, storage, compute, and the virtualization layer. The latter is important, since customers will share physical resources in the cloud. These resources—for instance, servers—are virtualized so they can host multiple instances.


With PaaS cloud providers take more responsibility over resources, now including operating systems and middleware. A good example is a database platform. Customers don’t need to take care of the database platform, but simply run a database instance on a database platform. The database software, for example, MySQL or PostgreSQL, is taken care of by the cloud provider, including the underlying operating systems.


SaaS is generally perceived as the future model for cloud services. It basically means that the cloud provider manages everything in the software stack, from the infrastructure to the actual application with all its components, including data. Software updates, bug fixes, and infrastructure maintenance are all handled by the cloud provider. The user, who typically uses the application through some form of subscription, connects to the app through a portal or API without installing software on local machines.


FaaS refers to a cloud service that enables the development and management of serverless computing applications. Serverless does not mean that there are no services involved, but developers can program services without having to worry about setting up and maintaining a server: that’s taken care of by the cloud provider. The big advantage is that the programmed service only uses the exact amount of, for instance, CPU and memory, instead of an entire virtual machine.


A growing number of enterprises are adopting container technology to host, run, and scale their applications. To run containers, developers must set up a runtime environment for these containers. Typically, this is done with Kubernetes, which has developed as the industry standard to host, orchestrate, and run containers. Setting up Kubernetes clusters can be complex and time-consuming. Container as a Service (CaaS) is the solution. CaaS provides an easy way to set up container clusters.


Anything as a Service (XaaS) is a term used to express the idea that users can have everything as a service. The concept is widely spread with, for instance, Hardware as a Service (HaaS), Desktop as a Service (DaaS), or Database as a Service (DBaaS). This is not limited to IT, though. The general idea is that companies will offer services and products in an as a service model, using the cloud as the digital enabler. Examples are food delivery to homes, ordering taxis, or consulting a doctor using apps.

Although we will touch upon SaaS and containers, we will focus mainly on IaaS and PaaS as starting points to adopt multi-cloud. With that in mind, we can start by setting out our multi-cloud strategy.