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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

Reviewing implementation details in infrastructure

In the last section, we focused slightly on the infrastructure provisioning of Kafka, although there is far more to setting up Kafka than simply running a script. To understand the producer and consumer examples, we made some assumptions about how to interact with Kafka and, specifically, a topic.

Topics

Topics are not unique to Kafka but are a construct that producer-consumer patterns leverage to store and retrieve messages relevant to a specific domain or grouping of events within a domain. Normally, topics are scoped to a specific subset of data. For example, with the domain model of the MTAEDA application, you m expect to find a topic for equipment, stations, and scheduling, among others.

Events and messages (known as records in Kafka) are written in an append-only fashion. This means that each record is immutable upon being written to a topic. Any changes that are required have to be appended to the end of the topic....

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