Packt+ | Advance your knowledge in tech

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

Product type Paperback

Published in May 2018

Publisher Packt

ISBN-13 9781788472425

Length 378 pages

Edition 1st Edition

Tools

AWS

Concepts

Cloud Computing

Authors (2):

Kevin L. Jackson

Goessling

View More author details

Table of Contents (29) Chapters

Title Page

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

Leave a review - let other readers know what you think

Index

Application workloads

Application workload, dictated by user characteristics, represents a major factor in cloud computing solution design. Application scalability and cost efficiency are enhanced by the solution architect's ability to leverage the automated provisioning and de-provisioning of cloud technology services. Dynamic instantiation and decommissioning of virtual machines based on workload variations is often ignored or delayed when a lift and shift application migration strategy is pursued. Failing to design or redesign solutions with application workload variability in mind can nullify any positive return on a cloud deployment investment.

Static workloads

Static workloads show flat resource utilization over time within particular boundaries. Applications with static workloads are less likely to see benefit from an elastic cloud that uses a pay-per-use model because resource requirements are constant. Periodic workloads are very common in real deployments. Examples include monthly...