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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

Building Resilient Microservices

Coming off the heels of the Saga pattern, we can appreciate the value of having fail-safes built into our microservices application. We need to ensure that we adequately handle inevitable failures.

We can’t assume that our distributed microservices will always be up and running. We also can’t assume that our supporting infrastructure will be reliable. These considerations lead us down a path where we must anticipate the occurrence of failures, whether prolonged or transient.

A prolonged outage can be due to a downed server or service, some generally important part of the infrastructure. These tend to be easier to detect and mitigate since they have a more obvious impact on the runtime of the application. Transient failures are far more difficult to detect since they can last a few seconds to a few minutes at a time and aren’t usually tied to any obvious issue in the infrastructure. Something as simple as a service taking 5...

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