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Solutions Architect's Handbook

You're reading from   Solutions Architect's Handbook Kick-start your solutions architect career by learning architecture design principles and strategies

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781838645649
Length 490 pages
Edition 1st Edition
Tools
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Authors (2):
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Neelanjali Srivastav Neelanjali Srivastav
Author Profile Icon Neelanjali Srivastav
Neelanjali Srivastav
Saurabh Shrivastava Saurabh Shrivastava
Author Profile Icon Saurabh Shrivastava
Saurabh Shrivastava
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Toc

Table of Contents (18) Chapters Close

Preface 1. The Meaning of Solution Architecture 2. Solution Architects in an Organization FREE CHAPTER 3. Attributes of the Solution Architecture 4. Principles of Solution Architecture Design 5. Cloud Migration and Hybrid Cloud Architecture Design 6. Solution Architecture Design Patterns 7. Performance Considerations 8. Security Considerations 9. Architectural Reliability Considerations 10. Operational Excellence Considerations 11. Cost Considerations 12. DevOps and Solution Architecture Framework 13. Data Engineering and Machine Learning 14. Architecting Legacy Systems 15. Solution Architecture Document 16. Learning Soft Skills to Become a Better Solution Architect 17. Other Books You May Enjoy

Handling concurrency

Concurrency is a critical factor for solution design as you want your application to process multiple tasks simultaneously—for example, your application needs to handle multiple users simultaneously and process their requests in the background. Another example is when your web user interface needs to collect and process web cookie data to understand user interaction with the product while showing users their profile information and the product catalog. Concurrency is about doing multiple tasks at the same time.

People often get confused between parallelism and concurrency by thinking that they are both the same thing; however, concurrency is different from parallelism. In parallelism, your application divides an enormous task into smaller subtasks, which it can process in parallel with a dedicated resource for each subtask. In concurrency, however, an application processes multiple tasks at the same time by utilizing shared resources among the threads. The...

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