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

Chapter 16: Defining Security Policies for Data

Data is an important asset of any company. Enterprises store their data more and more in multi-cloud. How do they secure data? All cloud platforms have technologies to encrypt data but differ on how they apply encryption and store and handle keys. But data will move from one cloud to another or to user devices, so data needs to be secured in transit, next to data at rest. This is done with encryption, using encryption keys. These keys need to be secured as well, preventing non-authorized users from accessing the keys and encrypted data.

Before we discuss data protection itself, we will briefly talk about data models and how we can classify data. We will explore the different storage solutions the major clouds offer. Next, we will learn how data can be protected by defining policies for data loss prevention (DLP), information labeling to control access, and using encryption.

In this chapter, we're going to cover the following...