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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
 Goessling Goessling
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Goessling
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Toc

Table of Contents (29) Chapters Close

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

Technical architecture requirements


Cloud computing services are consumed using an on-demand model. Service providers, therefore, meter and monitor the consumption of every resource by every user. Every resource, in turn, uses specific metrics and measurement units to bill users. Most organizations do not measure IT usage in this way. Neither do they typically place resource measurement sensors across their IT platform. IT is usually seen as a shared cost center with only the total cost and total capacity requirements tracked. This makes it extremely difficult to estimate service usage rates and expected cost when an application is transitioned to a CSP. Infrastructure analysis is used to get estimates of resource usage by particular applications, business processes, and organizational segments. This is normally one of the most difficult aspects of developing the business case and resultant cost-benefit analysis. Responses provide insight into the economic comparison between IaaS service...

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