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High-Performance Programming in C# and .NET

You're reading from   High-Performance Programming in C# and .NET Understand the nuts and bolts of developing robust, faster, and resilient applications in C# 10.0 and .NET 6

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781800564718
Length 660 pages
Edition 1st Edition
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Author (1):
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Jason Alls Jason Alls
Author Profile Icon Jason Alls
Jason Alls
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Table of Contents (22) Chapters Close

Preface 1. Part 1: High-Performance Code Foundation
2. Chapter 1: Introducing C# 10.0 and .NET 6 FREE CHAPTER 3. Chapter 2: Implementing C# Interoperability 4. Chapter 3: Predefined Data Types and Memory Allocations 5. Chapter 4: Memory Management 6. Chapter 5: Application Profiling and Tracing 7. Part 2: Writing High-Performance Code
8. Chapter 6: The .NET Collections 9. Chapter 7: LINQ Performance 10. Chapter 8: File and Stream I/O 11. Chapter 9: Enhancing the Performance of Networked Applications 12. Chapter 10: Setting Up Our Database Project 13. Chapter 11: Benchmarking Relational Data Access Frameworks 14. Chapter 12: Responsive User Interfaces 15. Chapter 13: Distributed Systems 16. Part 3: Threading and Concurrency
17. Chapter 14: Multi-Threaded Programming 18. Chapter 15: Parallel Programming 19. Chapter 16: Asynchronous Programming 20. Assessments 21. Other Books You May Enjoy

Chapter 13: Distributed Systems

In this chapter, you will learn about distributed applications and how you can improve their performance. You will understand how to build performant applications using the Command Query Responsibility Separation (CQRS) software design pattern, event sourcing, and microservices. You will learn how to use cloud providers such as Microsoft Azure to build scalable distributed solutions using Cosmos DB, Azure Functions, and the open source Pulumi infrastructure tool.

In this chapter, we will cover the following topics:

  • Implementing the CQRS design pattern: In this section, we will implement the CQRS design pattern with a sample project that demonstrates the separation of commands and queries.
  • Implementing event sourcing: Many resources always show event sourcing with CQRS. But in this section, we will write a sample project that demonstrates pure event sourcing without CQRS. By doing this, you will know how to implement CQRS and event sourcing...
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