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Architecting Cloud Computing Solutions

You're reading from   Architecting Cloud Computing Solutions Build cloud strategies that align technology and economics while effectively managing risk

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788472425
Length 378 pages
Edition 1st Edition
Tools
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Authors (2):
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Kevin L. Jackson Kevin L. Jackson
Author Profile Icon Kevin L. Jackson
Kevin L. Jackson
Scott Goessling Scott Goessling
Author Profile Icon Scott Goessling
Scott Goessling
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Toc

Table of Contents (24) Chapters Close

Preface 1. Prologue FREE CHAPTER 2. What is Cloud Computing? 3. Governance and Change Management 4. Design Considerations 5. Business Drivers, Metrics, and Use Cases 6. Architecture Executive Decisions 7. Architecting for Transition 8. Baseline Cloud Architectures 9. Solution Reference Architectures 10. Cloud Environment Key Tenets and Virtualization 11. Cloud Clients and Key Cloud Services 12. Operational Requirements 13. CSP Performance 14. Cloud Application Development 15. Data Security 16. Application Security 17. Risk Management and Business Continuity 18. Hands-On Lab 1 – Basic Cloud Design (Single Server) 19. Hands-On Lab 2 – Advanced Cloud Design Insight 20. Hands-On Lab 3 – Optimizing Current State (12 Months Later) 21. Cloud Architecture – Lessons Learned
22. Epilogue
23. Other Books You May Enjoy

Summary

Cloud computing represents a new operational model for delivering information technology services. This brings with it a number of unique operational requirements. This chapter explains each of those within an operational context so that they can be appropriately included in every architected cloud solution. Security controls are equally crucial due to the importance associated with managing and controlling access to all data.

The DCRM is presented in here, in this chapter, as a communicative tool. While the other models presented in this text are specific to cloud computing, this one represents a more generalized approach more suitable when evaluating portability and interoperability when operating across different cloud computing and traditional designs.

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