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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

Building an industrial IoT solution

Industrial customers seek to gain insights into their industrial data and achieve outcomes such as lower energy costs, detecting and fixing equipment issues, spotting inefficiencies in manufacturing lines, improving product quality, and improving production output. These customers are looking for visibility into operational technology (OT) data from machines and product life cycles (PLCs) systems for performing Root Cause Analysis (RCA) when a production line or a machine goes down. Furthermore, IoT improves production throughput without compromising product quality by understanding micro-stoppages of machinery in real time.

Data collection and organization across multiple sources, sites, or factories are challenging to build and maintain. Organizations need a consistent representation of all their assets that can be easily shared with users and used to build applications, at a plant, across plants, and at a company level. Data collected and...

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