Book Image

Multi-Cloud Architecture and Governance

By : Jeroen Mulder
Book Image

Multi-Cloud Architecture and Governance

By: Jeroen Mulder

Overview of this book

Multi-cloud has emerged as one of the top cloud computing trends, with businesses wanting to reduce their reliance on only one vendor. But when organizations shift to multiple cloud services without a clear strategy, they may face certain difficulties, in terms of how to stay in control, how to keep all the different components secure, and how to execute the cross-cloud development of applications. This book combines best practices from different cloud adoption frameworks to help you find solutions to these problems. With step-by-step explanations of essential concepts and practical examples, you’ll begin by planning the foundation, creating the architecture, designing the governance model, and implementing tools, processes, and technologies to manage multi-cloud environments. You’ll then discover how to design workload environments using different cloud propositions, understand how to optimize the use of these cloud technologies, and automate and monitor the environments. As you advance, you’ll delve into multi-cloud governance, defining clear demarcation models and management processes. Finally, you’ll learn about managing identities in multi-cloud: who’s doing what, why, when, and where. By the end of this book, you’ll be able to create, implement, and manage multi-cloud architectures with confidence
Table of Contents (28 chapters)
1
Section 1 – Introduction to Architecture and Governance for Multi-Cloud Environments
7
Section 2 – Getting the Basics Right with BaseOps
12
Section 3 – Cost Control in Multi-Cloud with FinOps
17
Section 4 – Security Control in Multi-Cloud with SecOps
22
Section 5 – Structured Development on Multi-Cloud Environments with DevOps

The provisioning and consumption of resources in on-premises propositions

We are talking about multi-cloud in this book. In Chapter 1, Introduction to Multi-Cloud, we defined that the cloud could involve public clouds such as Azure, AWS, and GCP, but also private clouds. In most cases, private clouds are still on-premises environments that take a significant investment. Companies use private clouds for different reasons, the most important one being compliancy—data and systems that aren't allowed to be moved to a public cloud.

The challenge with private clouds is that companies have to make major up-front investments to get hardware that enables the setup of a private cloud. They don't want to overspend by way of too much hardware, but they also don't want to be confronted with capacity limits on their hardware. Forecasting and capacity management are really crucial in terms of cost control on private clouds, even more so than in public clouds.

One of...