Book Image

High-Performance Programming in C# and .NET

By : Jason Alls
Book Image

High-Performance Programming in C# and .NET

By: Jason Alls

Overview of this book

Writing high-performance code while building an application is crucial, and over the years, Microsoft has focused on delivering various performance-related improvements within the .NET ecosystem. This book will help you understand the aspects involved in designing responsive, resilient, and high-performance applications with the new version of C# and .NET. You will start by understanding the foundation of high-performance code and the latest performance-related improvements in C# 10.0 and .NET 6. Next, you’ll learn how to use tracing and diagnostics to track down performance issues and the cause of memory leaks. The chapters that follow then show you how to enhance the performance of your networked applications and various ways to improve directory tasks, file tasks, and more. Later, you’ll go on to improve data querying performance and write responsive user interfaces. You’ll also discover how you can use cloud providers such as Microsoft Azure to build scalable distributed solutions. Finally, you’ll explore various ways to process code synchronously, asynchronously, and in parallel to reduce the time it takes to process a series of tasks. By the end of this C# programming book, you’ll have the confidence you need to build highly resilient, high-performance applications that meet your customer's demands.
Table of Contents (22 chapters)
1
Part 1: High-Performance Code Foundation
7
Part 2: Writing High-Performance Code
16
Part 3: Threading and Concurrency

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...