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Microservices Design Patterns in .NET

You're reading from   Microservices Design Patterns in .NET Making sense of microservices design and architecture using .NET Core

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Product type Paperback
Published in Jan 2023
Publisher Packt
ISBN-13 9781804610305
Length 300 pages
Edition 1st Edition
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Author (1):
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Trevoir Williams Trevoir Williams
Author Profile Icon Trevoir Williams
Trevoir Williams
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Table of Contents (21) Chapters Close

Preface 1. Part 1: Understanding Microservices and Design Patterns
2. Chapter 1: Introduction to Microservices – the Big Picture FREE CHAPTER 3. Chapter 2: Working with the Aggregator Pattern 4. Chapter 3: Synchronous Communication between Microservices 5. Chapter 4: Asynchronous Communication between Microservices 6. Chapter 5: Working with the CQRS Pattern 7. Chapter 6: Applying Event Sourcing Patterns 8. Part 2: Database and Storage Design Patterns
9. Chapter 7: Handling Data for Each Microservice with the Database per Service Pattern 10. Chapter 8: Implement Transactions across Microservices Using the Saga Pattern 11. Part 3: Resiliency, Security, and Infrastructure Patterns
12. Chapter 9: Building Resilient Microservices 13. Chapter 10: Performing Health Checks on Your Services 14. Chapter 11: Implementing the API and BFF Gateway Patterns 15. Chapter 12: Securing Microservices with Bearer Tokens 16. Chapter 13: Microservice Container Hosting 17. Chapter 14: Implementing Centralized Logging for Microservices 18. Chapter 15: Wrapping It All Up 19. Index 20. Other Books You May Enjoy

What can event sourcing patterns do for me?

Applications built with microservices architecture are structured to have a set of loosely coupled and independent services. Using the database-per-service pattern, we further segregate each service by giving it an individual data store. This now presents a unique challenge to keep the data in sync between services. It becomes more difficult given that we need to compromise on our ACID principles. We can recall that the acronym ACID stands for atomicity, consistency, isolation, and durability. We are most concerned about the principle of atomicity in this context. We cannot guarantee that all our write operations will be completed as a unit. The atomic principle dictates that all data operations should complete or fail as a unit. Given the allowance for different technologies to be used for the data stores, we cannot absolutely guarantee that.

Considering all these factors, we turn to a new pattern called event sourcing, which allows us...

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