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

We started with application profiling and tracing by looking at the various code metrics that are available to us. Various tools have different metrics available. These metrics cover the application, assemblies, namespaces, types, methods, and fields.

Then, we moved on to look at how we can perform static code analysis. We demonstrated static code analysis using Visual Studio 2022's built-in code analysis tool. We saw how to generate the following metrics: the maintainability index, cyclomatic complexity, the depth of inheritance, class coupling, lines of source code, and lines of executable code.

The next thing we looked at was the generation of memory dumps and how to view them from within Visual Studio 2022. We can view the dump time, the dump's location, the name of the process, the processor architecture, any exception information, the OS version, and the CLR version. Additionally, we can view loaded module names and their versions and physical paths.

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