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Solutions Architect's Handbook

You're reading from   Solutions Architect's Handbook Kick-start your career with architecture design principles, strategies, and generative AI techniques

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781835084236
Length 578 pages
Edition 3rd Edition
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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 (20) Chapters Close

Preface 1. Solutions Architects in Organizations 2. Principles of Solution Architecture Design FREE CHAPTER 3. Cloud Migration and Cloud Architecture Design 4. Solution Architecture Design Patterns 5. Cloud-Native Architecture Design Patterns 6. Performance Considerations 7. Security Considerations 8. Architectural Reliability Considerations 9. Operational Excellence Considerations 10. Cost Considerations 11. DevOps and Solution Architecture Framework 12. Data Engineering for Solution Architecture 13. Machine Learning Architecture 14. Generative AI Architecture 15. Rearchitecting Legacy Systems 16. Solution Architecture Document 17. Learning Soft Skills to Become a Better Solutions Architect 18. Other Books You May Enjoy
19. Index

Technology selection for performance optimization

In Chapter 4 and Chapter 5, you learned about various design patterns, including microservice, event-driven, cached-based, and stateless patterns. An organization may choose a combination of these design patterns depending on their solution’s design needs. You can have multiple approaches to architecture design, depending on your workload. Once you have finalized your strategy and start to implement your solution, the next step is to optimize your application. To optimize your application, you must collect data by performing load testing and defining benchmarking as per your application’s performance requirements.

Performance optimization is a continuous improvement process in which you need to be cognizant of optimal resource utilization from the beginning of solution design until after the application’s launch. You need to choose the right resources as per the workload or tune the application and infrastructure...

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