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Multi-Cloud Architecture and Governance

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

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781800203198
Length 412 pages
Edition 1st Edition
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Authors (2):
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Jeroen Mulder Jeroen Mulder
Author Profile Icon Jeroen Mulder
Jeroen Mulder
Jeroen Mulder Jeroen Mulder
Author Profile Icon Jeroen Mulder
Jeroen Mulder
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Toc

Table of Contents (28) Chapters Close

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

Summary

This chapter was about securing and protecting data in cloud environments. We have learned that when moving data from on-premises systems to the cloud, companies have to set specific controls to protect their data. The owner of the data remains responsible for protecting the data; that doesn't shift to the cloud provider.

We have learned that companies need to think first about data protection policies. What data needs to be protected? Which laws and international frameworks are applicable to be compliant? A best practice is to start thinking about the data model and then draw a matrix, showing what the policy should be for critical and sensitive data. We've also studied the principles of DLP using data classification and labeling.

This chapter also explored the different options a company has to store data in cloud environments and how we can protect data from a technological point of view. After finishing this chapter, you should have a good understanding...

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