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

Summary

In this chapter, you studied the OSI reference model to understand the different layers of a network and the various protocols available for each layer. You also learned that the various protocols can be grouped into two main groups: TCP and UDP.

Then, you learned about web browser development tools, which allow you to monitor your website’s activities, such as memory usage and network traffic. You also saw the errors it raises via the console window. This can help identify problems and resolve them.

From there, you learned how to add gRPC for desktop clients and servers, and gRPC-Web for web-based clients and servers. You learned that gRPC helps reduce the size of data compared to the JSON data format, thus reducing page load time.

After that, you learned how to optimize internet resources. This includes using the correct file format and reducing the size of images, caching items to reduce network traffic and load times, reducing the number of background services...