You're reading from Multi-Cloud Architecture and Governance Leverage Azure, AWS, GCP, and VMware vSphere to build effective multi-cloud solutions

Product type Paperback

Published in Dec 2020

Publisher Packt

ISBN-13 9781800203198

Length 412 pages

Edition 1st Edition

Tools

AWS

Concepts

Cloud Computing

Authors (2):

Jeroen Mulder

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Table of Contents (28) Chapters

Preface

1. Section 1 – Introduction to Architecture and Governance for Multi-Cloud Environments

2. Chapter 1: Introduction to Multi-Cloud FREE CHAPTER

3. Chapter 2: Business Acceleration Using a Multi-Cloud Strategy

4. Chapter 3: Getting Connected – Designing Connectivity

5. Chapter 4: Service Designs for Multi-Cloud

6. Chapter 5: Managing the Enterprise Cloud Architecture

7. Section 2 – Getting the Basics Right with BaseOps

8. Chapter 6: Designing, Implementing, and Managing the Landing Zone

9. Chapter 7: Designing Resilience and Performance

10. Chapter 8: Defining Automation Tools and Processes

11. Chapter 9: Defining and Using Monitoring and Management Tools

12. Section 3 – Cost Control in Multi-Cloud with FinOps

13. Chapter 10: Managing Licenses

14. Chapter 11: Defining Principles for Resource Provisioning and Consumption

15. Chapter 12: Defining Naming Conventions and Tagging

16. Chapter 13: Validating and Managing Bills

17. Section 4 – Security Control in Multi-Cloud with SecOps

18. Chapter 14: Defining Security Policies

19. Chapter 15: Implementing Identity and Access Management

20. Chapter 16: Defining Security Policies for Data

21. Chapter 17: Implementing and Integrating Security Monitoring

22. Section 5 – Structured Development on Multi-Cloud Environments with DevOps

23. Chapter 18: Designing and Implementing CI/CD Pipelines

24. Chapter 19: Introducing AIOps in Multi-Cloud

25. Chapter 20: Introducing Site Reliability Engineering in Multi-Cloud

26. Assessments

27. Other Books You May Enjoy

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Summary

In this chapter, we have discussed the basic principles of automation. We have learned how to abstract our environment in different layers: applications, systems, and configurations. We have studied tools that enable automation in Azure, AWS, and GCP, as well as found that there are many more tools that we can use to automate deployment and management of systems in multi-cloud environments. We have learned how to start designing the automation process and that version control is crucial in automation.

Now, if we have deployed our systems, we want to keep a close eye on them. That's what the next chapter is all about: monitoring and management.