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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

Health checks and microservices

A health check allows us to monitor the health of our services. Frankly, another service or resource that exposes an HTTP endpoint becomes a capable candidate for health checks. We can simply make a request to this endpoint and hope for a response that indicates a successful response. The simplest form of a health check can come from implementing a simple GET request, which returns a 200OK HTTP response. We can add further intelligence to such an endpoint, check connectivity to other key services, and use those to influence the response code returned.

Health checks are useful mechanisms for both monolithic and microservices applications. In the context of microservices, however, we have an increased challenge of monitoring and maintaining several services. Even more so if they are configured to scale on individual levels. Health checks can be used to monitor the health and uptime of interdependent services and carry out some form of corrective action...

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