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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Index

Building and sizing a data platform

As with every service that we deploy in cloud, we need something to build a platform on a foundation. Hence, building a landing zone that can hold raw data is the first step. This landing zone should be an environment that serves only one purpose: to capture raw data. It’s recommended to build this landing zone separate from core IT systems. It should be scalable, but at low-cost, since it will hold a lot of data. The issue with keeping data is that it might increase the cloud bill exponentially. Data storage comes at a very low price per unit of data, but the catch is that we need a lot of these small units.

Important is to implement governance from the start. This includes defining and implementing guardrails for classification of data and tagging.

Once the landing zone has been established, data analysts can start using the data lake as a sandbox environment. This is the second stage. Analysts can start building prototypes of data models and...