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

Pragmatic solutions with hardware


The best approach to take with a poorly performing application is usually to fix the software. However, it is good to be pragmatic and try to look at the bigger picture. Depending on the size and scale of an application, it can be cheaper to throw better hardware at it, at least as a short term measure.

Hardware is much cheaper than a developer's time and is always getting better. Installing some new hardware can work as a quick fix and buy you some time. You can then address the root causes of any performance issues in software as part of the ongoing development. You can add a little time to the schedule to refactor and improve an area of the code base as you work on it.

Once you discover that the cause of your performance problem is latency, you have two possible approaches:

  • Reduce the number of latency-sensitive operations
  • Reduce the latency itself using faster computers or by moving the computers closer together

With the rise of cloud computing, you may not...