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

Considering improved I/O performance

There are several common I/O tasks that we do often, such as traversing directories searching for files, adding, renaming, moving and deleting directories, adding, renaming, moving, and deleting files, password protecting files and directories, encrypting and decrypting files and directories, and compressing files and directories. We also transmit and load files synchronously, asynchronously, and via streams such as file streams and memory streams. Then, there are all the NoSQL and SQL data operations, all of which will be happening frequently on corporate networks, and streaming data and audio/visual content at work and home.

When working with I/O, it is quite easy to completely slow a system down to the point that it becomes unusable while file reading and file writing is taking place. So, if you are going to be performing heavy I/O, you must keep the system where the work is being carried out fully operational and responsive for the end user...