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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

Implementing the repository pattern

By definition, a repository is a central storage area for data or items. In the context of database development, we use the word repository to label a widely used and convenient development pattern. This pattern helps us to extend the default interfaces and code given to us by our ORM, making it reusable and even more specific for certain operations.

One side effect of this pattern is that we end up with more code and files, but the general benefit is that we can centralize our core operations. As a result, we abstract our business logic and database operations away from our controllers and eliminate repeating database access logic throughout our application. It helps us to maintain the single responsibility principle in our code base as we seek to author clean code.

In any application, we need to carry out four main operations against any database table. We need to create, read, update, and delete data. In the context of an API, we need a...

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