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Implementing Event-Driven Microservices Architecture in .NET 7

You're reading from   Implementing Event-Driven Microservices Architecture in .NET 7 Develop event-based distributed apps that can scale with ever-changing business demands using C# 11 and .NET 7

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Product type Paperback
Published in Mar 2023
Publisher Packt
ISBN-13 9781803232782
Length 326 pages
Edition 1st Edition
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Authors (2):
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Joshua Garverick Joshua Garverick
Author Profile Icon Joshua Garverick
Joshua Garverick
Omar Dean McIver Omar Dean McIver
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Omar Dean McIver
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Table of Contents (21) Chapters Close

Preface 1. Part 1:Event-Driven Architecture and .NET 7
2. Chapter 1: The Sample Application FREE CHAPTER 3. Chapter 2: The Producer-Consumer Pattern 4. Chapter 3: Message Brokers 5. Chapter 4: Domain Model and Asynchronous Events 6. Part 2:Testing and Deploying Microservices
7. Chapter 5: Containerization and Local Environment Setup 8. Chapter 6: Localized Testing and Debugging of Microservices 9. Chapter 7: Microservice Observability 10. Chapter 8: CI/CD Pipelines and Integrated Testing 11. Chapter 9: Fault Injection and Chaos Testing 12. Part 3:Testing and Deploying Microservices
13. Chapter 10: Modern Design Patterns for Scalability 14. Chapter 11: Minimizing Data Loss 15. Chapter 12: Service and Application Resiliency 16. Chapter 13: Telemetry Capture and Integration 17. Chapter 14: Observability Revisited 18. Assessments 19. Index 20. Other Books You May Enjoy

Chapter 1, The Sample Application

  1. Understanding the business perspective helps to tie real-world situations to conceptual designs as well as understand how behaviors of business objects can impact the need for resilient, scalable services to support them.
  2. It’s possible to theorize that there is a use case for a WorkOrders domain; however, the concept of WorkOrder may be better served as a supporting entity within the Maintenance domain.
  3. Every effort was taken to ensure no erroneous or excess information was included in the aggregates. Personal preference or strict adherence to prescriptive DDD patterns may cause that to shift.
  4. A traditional “relational” database tends to allow all forms of data manipulation, from inserts to updates to deletes while also structuring the data. NoSQL options allow for unstructured, heterogeneous data to be stored in the same logical data store. Using event sourcing strongly encourages the use of an append-only transaction...
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