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

Chapter 11. Monitoring Performance Regressions

This chapter will cover writing automated tests to monitor performance, along with adding the tests to a Continuous Integration (CI) and deployment system. By constantly checking for regressions, you'll avoid building a slow application accidentally. We'll also cover how to safely load test a system without forcing it offline and how to ensure that the tests mimics real-life usage as far as possible.

Topics covered in this chapter include the following:

  • Profiling
  • Load testing
  • Automated testing
  • Performance monitoring
  • Continuous integration and deployment
  • Realistic environments and production-like data
  • UI testing with selenium and phantom headless browsers
  • A/B testing for conversion optimization
  • Cloud services and hosting
  • DevOps

You will see how to automate performance monitoring and testing so that you don't need to remember to keep doing it manually. You'll learn how to catch regressions early, before they cause trouble, and how to safely back them out...