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Pragmatic Microservices with C# and Azure

You're reading from   Pragmatic Microservices with C# and Azure Build, deploy, and scale microservices efficiently to meet modern software demands

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Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781835088296
Length 508 pages
Edition 1st Edition
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Author (1):
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Christian Nagel Christian Nagel
Author Profile Icon Christian Nagel
Christian Nagel
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Table of Contents (23) Chapters Close

Preface 1. Part 1: Creating Microservices with .NET FREE CHAPTER
2. Chapter 1: Introduction to .NET Aspire and Microservices 3. Chapter 2: Minimal APIs – Creating REST Services 4. Chapter 3: Writing Data to Relational and NoSQL Databases 5. Chapter 4: Creating Libraries for Client Applications 6. Part 2: Hosting and Deploying
7. Chapter 5: Containerization of Microservices 8. Chapter 6: Microsoft Azure for Hosting Applications 9. Chapter 7: Flexible Configurations 10. Chapter 8: CI/CD – Publishing with GitHub Actions 11. Chapter 9: Authentication and Authorization with Services and Clients 12. Part 3: Troubleshooting and Scaling
13. Chapter 10: All About Testing the Solution 14. Chapter 11: Logging and Monitoring 15. Chapter 12: Scaling Services 16. Part 4: More communication options
17. Chapter 13: Real-Time Messaging with SignalR 18. Chapter 14: gRPC for Binary Communication 19. Chapter 15: Asynchronous Communication with Messages and Events 20. Chapter 16: Running Applications On-Premises and in the Cloud 21. Index 22. Other Books You May Enjoy

Asynchronous Communication with Messages and Events

In the previous chapter, we updated our services using binary communication. However, some services don’t need connected services: the client and the server do not need to be connected at the same time, which means communication can be done asynchronously. This communication can be done by sending messages to a queue or publishing events.

In this chapter, we’ll use Azure services for asynchronous communication – that is, Azure Queue Storage and Azure Event Hubs. We’ll also use Apache Kafka as an alternative option.

You’ll learn how to do the following:

  • Differentiate message queues and events
  • Send and receive messages using a queue
  • Publish and subscribe events with Azure Event Hubs
  • Use Apache Kafka for event processing
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