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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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Toc

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

Summary

In this chapter, you learned the foundation of Docker, pulling, creating, and running Docker images. You used containers that store state with volumes running databases in Docker containers, passed environmental variables and secrets to running Docker containers, and used .NET Aspire to run multiple containers at once.

Using .NET Aspire, you configured orchestration for multiple services – including the configuration of a SQL Server Docker container. Comparing this to the work needed with Docker, this was an easy task – but it’s still useful to understand the foundations.

With native AOT, you reduced startup times and the memory footprint, which you might be able to use with some of your services.

Before moving on to the next chapter, using the bot, you can now easily play thousands of games. The bot uses a simple algorithm to set random moves from a list of possible moves. Using the games query, check the number of moves the bot needs to find...

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