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

Exploring monitoring and management tools

In this section, we will first study the native monitoring that Azure, AWS, and Google Cloud Platform have to offer. After that, we will take a brief look at some other popular end-to-end monitoring systems that are on the market and are more cross-cloud.

Before we dive into the tools, we should get a high-level understanding of how monitoring works. Typically, these tools work with agents that collect data on the health and performance of resources. This is often raw data that is compiled into a more comprehensible format so it can be analyzed. From there, it gets visualized, for instance, in graphical presentations in dashboards that can be viewed from a console.

Monitoring can also lead to triggers: a system can suffer from malfunctions or other issues. In that case, the monitoring service will send out an alert that triggers a response. That response can be either to start a scaling process if systems run out of resources such as...