Book Image

ASP.NET Core 2 High Performance - Second Edition

By : James Singleton
Book Image

ASP.NET Core 2 High Performance - Second Edition

By: James Singleton

Overview of this book

The ASP.NET Core 2 framework is used to develop high-performance and cross-platform web applications. It is built on .NET Core 2 and includes significantly more framework APIs than version 1. This book addresses high-level performance improvement techniques. It starts by showing you how to locate and measure problems and then shows you how to solve some of the most common ones. Next, it shows you how to get started with ASP.NET Core 2 on Windows, Mac, Linux, and with Docker containers. The book illustrates what problems can occur as latency increases when deploying to a cloud infrastructure. It also shows you how to optimize C# code and choose the best data structures for the job. It covers new features in C# 6 and 7, along with parallel programming and distributed architectures. By the end of this book, you will be fixing latency issues and optimizing performance problems, but you will also know how this affects the complexity and maintenance of your application. Finally, we will explore a few highly advanced techniques for further optimization.
Table of Contents (20 chapters)
Title Page
Credits
Foreword
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
3
Setting Up Your Environment
4
Measuring Performance Bottlenecks

Summary


We hope that you enjoyed this book and learned how to make your web applications well-performing and easy to maintain, particularly when you use C#, ASP.NET Core, and .NET Core. We tried to keep as much advice as possible applicable to general web app development, while gently introducing you to the latest open source frameworks from Microsoft and others.

Clearly, a topic such as this changes quite rapidly, so keep your eyes open online for updates. Hopefully, a lot of the lessons in this book are generally good ideas and they will still be sensible for a long time to come.

Always keep in mind that optimizing for its own sake is pointless, unless it's literally an academic exercise. You need to measure and weigh the benefits against the downsides; otherwise, you may end up making things worse. It is easy to make things more complex, harder to understand, difficult to maintain, or all of these.

It's important to instill these pragmatic performance ideas into the team culture, or else...