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Hands-On Azure Digital Twins

You're reading from   Hands-On Azure Digital Twins A practical guide to building distributed IoT solutions

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Product type Paperback
Published in Mar 2022
Publisher Packt
ISBN-13 9781801071383
Length 446 pages
Edition 1st Edition
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Author (1):
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Alexander Meijers Alexander Meijers
Author Profile Icon Alexander Meijers
Alexander Meijers
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Table of Contents (25) Chapters Close

Preface 1. Section 1: Azure Digital Twin Essentials
2. Chapter 1: About Digital Twins FREE CHAPTER 3. Chapter 2: Requirements and Installation 4. Section 2: Getting Started with Azure Digital Twins
5. Chapter 3: Digital Twin Definition Model 6. Chapter 4: Understanding Models 7. Chapter 5: Model Elements 8. Chapter 6: Creating Relationships between Azure Digital Twin Models 9. Chapter 7: Querying Digital Twins 10. Chapter 8: Building Models Using Ontologies 11. Section 3: Digital Twins Advanced Techniques
12. Chapter 9: APIs and SDKs 13. Chapter 10: Building a Digital Twin Pipeline 14. Chapter 11: Updating the Model 15. Chapter 12: Event Routing 16. Chapter 13: Setting up Azure Maps 17. Chapter 14: Integrating Azure Maps 18. Chapter 15: Monitoring and Troubleshooting 19. Section 4: Digital Twin Implementations in Real-world Scenarios
20. Chapter 16: Facility of the Future 21. Chapter 17: Creating Digital Twins for Smart Building 22. Chapter 18: Simulations Using a Digital Twin 23. Assessments 24. Other Books You May Enjoy

Understanding service limits

It is important to understand that using the services, via APIs and SDKs, is not unlimited. The Azure Digital Twins instance has several types of limits. These types are explained here:

  • Functional Limits: Functional limits are limits that are defined by the ability of the service. Think of the number of instances, models, digital twins, and joins inside a query or the size of a certain message.
  • Rate Limits: These limits are limits of the requests we make to the service. Think of the number of read requests per second. When we try to read more than these limits, we are throttled on the result of the request. One such example is executing queries. When you create a solution, which is used by a lot of people, and the solution is continuously requesting data by querying, you could easily reach the query limit.

Service throttling takes place on additional requests when a certain limit is reached. We will receive the 429 error as a response...

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