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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In this chapter, we discussed the basic architecture principles to build and manage a data platform. We looked at data lakes that can hold vast amounts of raw data and how we can build these lakes on top of cloud storage. The next step is to fetch the right data that is usable in data models. We must extract, transfer and load – ETL or ELT for short - the accurate data sets in environments where data analysts can work with this data. Typically, data warehouses are used for this.

We studied the various propositions for data operations of the major cloud providers AWS, Azure, Google Cloud, Alibaba, and Oracle. Next, we discussed the challenges that come with building and operating data platforms. There will be challenges with respect to access to data, accuracy, but also privacy and compliancy. Data gravity is another problem that we must solve. It’s not easy to move huge amounts of data across platform, hence we must find other solutions to work with data in different...