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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

Components of IoT architecture

In the use cases mentioned in the previous section, organizations have many devices across multiple product lines. They needed an architecture to ingest various telemetry measures and attributes to support real-time consumption by users and service applications. At a high level, IoT architecture consists of three components, as shown in the following diagram:

Figure 15.1: IoT architecture cycle

As shown in the preceding diagram, the IoT architecture cycle has three elements:

  1. Managing IoT device software: To build IoT solutions, you need to deploy a large number of devices, ranging from thousands to millions. These devices should have the ability to generate the data required for the use case and perform an operation at the edge as required. The first thing you need to figure out is, how can I build devices that operate at the edge?
  2. Handling IoT device connectivity and control: Managing millions of devices and securing them...
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