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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Introducing AIOps and GreenOps in Multi-Cloud

AIOps stands for Artificial Intelligence for Operations, but what does it really mean? AIOps is still a rather new concept but can help to optimize your multi-cloud platform. It analyzes the health and behavior of workloads end to end—that is, right from the application’s code all the way down to the underlying infrastructure. AIOps tooling will help in discovering issues, thereby providing advice for optimization. The best part is that good AIOps tools do this cross-platform since they operate from the perspective of the application and even the business chain.

This chapter is an introduction to the concept of AIOps. The components of AIOps will be discussed, including data analytics, automation, and Machine Learning (ML). After completing this chapter, you will have a good understanding of how AIOps can help in optimizing cloud environments and how enterprises can get started with implementing AIOps.

We will also...