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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

Database per service pattern

The microservices architecture promotes autonomy and loose coupling of services. This concept of loose coupling should ideally be implemented throughout the entire code base and infrastructure. Sadly, this is only sometimes possible for cost reasons, especially at the database level.

Databases can be expensive to license, implement, host, and maintain. The costs also vary based on the needs of the service that the database supports and the type of storage that is needed. One compelling reason to have individual databases is that we always want to choose the best technology stack for each microservice. Each one needs to retain its individuality, and the database choice is integral to the implementation process.

We have different types of databases, and it is important to appreciate the nuances between each and use that knowledge to scope the best database solution for the data we can expect to store for each microservice. Let us look at some of the...

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