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Solutions Architect's Handbook

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

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Product type Paperback
Published in Jan 2022
Publisher Packt
ISBN-13 9781801816618
Length 590 pages
Edition 2nd Edition
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Authors (2):
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Saurabh Shrivastava Saurabh Shrivastava
Author Profile Icon Saurabh Shrivastava
Saurabh Shrivastava
Neelanjali Srivastav Neelanjali Srivastav
Author Profile Icon Neelanjali Srivastav
Neelanjali Srivastav
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Toc

Table of Contents (22) Chapters Close

Preface 1. The Meaning of Solution Architecture FREE CHAPTER 2. Solution Architects in an Organization 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 for Solution Architecture 14. Machine Learning Architecture 15. The Internet of Things Architecture 16. Quantum Computing 17. Rearchitecting Legacy Systems 18. Solution Architecture Document 19. Learning Soft Skills to Become a Better Solution Architect 20. Other Books You May Enjoy
21. Index

Preface

The Solutions Architect's Handbook guides readers to create robust, scalable, highly available, and fault-tolerant solutions by learning different aspects of solution architecture and next-generation architecture design in the cloud environment. This book will start by detailing solution architecture and how it fits in an agile enterprise environment. It will further take the reader through the journey of solution architecture design by providing detailed knowledge of design pillars, advanced design patterns, anti-patterns, and cloud-native aspects of modern software design. The reader will further dive deep into solution design performance optimization, security, compliance, reliability, cost optimization, and operational excellence. This book provides an in-depth understanding of the automation of security, infrastructure, DevOps, disaster recovery, and documentation of solution architecture. This book also provides a good understanding of future-proof architecture design with data engineering, machine learning, IoT, and quantum computing. As a bonus, this book also offers a soft-skill aspect of solution architect and continuous learning techniques.

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