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

Solutions


Now that you understand a bit more about the causes of latency-based problems, and how to analyze them, we can demonstrate some potential solutions. The measurements that you have taken using the previously illustrated tools will help you quantify the scale of the problems, and choose the appropriate fixes to be applied.

Batching API requests

Rendering a typical web page may require calls to many different APIs (or DB tables) to gather the data required for it. Due to the style of object-oriented programming encouraged by C# (and many other languages), these API calls are often performed in series. However, if the result of one call does not affect another, then this is suboptimal, and the calls could be performed in parallel. We'll cover DB tables later in this chapter, as there are better approaches for them.

Concurrent calls can be more pertinent if you implement a microservices architecture (as opposed to the traditional monolith, or big ball of mud), and have lots of different...