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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

Chaos testing

While chaos testing involves executing tests designed to break services your application depends on, the overall discipline of chaos engineering was first established in 2010 by engineers at Netflix. The primary purpose of this type of engineering was to test how their services and applications behaved under extreme circumstances. In 2012, Netflix open sourced Chaos Monkey, which was their internal chaos testing platform. This opened the doors for other companies and engineers to be able to leverage and modify that suite and adapt it to their applications.

The order of chaos engineering

Chaos engineering follows a simple set of principles, allowing there to be order within the chaos, so to speak. The three main principles of chaos engineering, according to Gremlin, are as follows:

  1. Plan an experiment: This step starts with a hypothesis you formulate based on how your application would respond to a problem or outage. This can depend heavily on your definition...
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