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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
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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

Microservices and serverless architectures

As cloud computing advances, application design techniques are also advancing. One significant development is the microservice architectural style. Applications are structured an as a collection of loosely coupled services that combine to implement business capabilities. The microservice architecture is used to support the continuous delivery/deployment of large, complex applications. It also enables an organization to evolve its technology stack. Another important new approach is the exclusive use of third-party services that provide ephemeral containers using a just-in-time infrastructure provisioning model, called serverless computing. With this execution model, the cloud provider dynamically manages the allocation of machine resources. Pricing is based on the actual amount of resources consumed by an application, rather than on pre...

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