Book Image

ASP.NET Core 1.0 High Performance

By : James Singleton, Pawan Awasthi
Book Image

ASP.NET Core 1.0 High Performance

By: James Singleton, Pawan Awasthi

Overview of this book

ASP.NET Core is the new, open source, and cross-platform, web-application framework from Microsoft. It's a stripped down version of ASP.NET that's lightweight and fast. This book will show you how to make your web apps deliver high performance when using it. We'll address many performance improvement techniques from both a general web standpoint and from a C#, ASP.NET Core, and .NET Core perspective. This includes delving into the latest frameworks and demonstrating software design patterns that improve performance. We will highlight common performance pitfalls, which can often occur unnoticed on developer workstations, along with strategies to detect and resolve these issues early. By understanding and addressing challenges upfront, you can avoid nasty surprises when it comes to deployment time. We will introduce performance improvements along with the trade-offs that they entail. We will strike a balance between premature optimization and inefficient code by taking a scientific- and evidence-based approach. We'll remain pragmatic by focusing on the big problems. By reading this book, you'll learn what problems can occur when web applications are deployed at scale and know how to avoid or mitigate these issues. You'll gain experience of how to write high-performance applications without having to learn about issues the hard way. You'll see what's new in ASP.NET Core, why it's been rebuilt from the ground up, and what this means for performance. You will understand how you can now develop on and deploy to Windows, Mac OS X, and Linux using cross-platform tools, such as Visual Studio Code.
Table of Contents (18 chapters)
ASP.NET Core 1.0 High Performance
Credits
Foreword
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
2
Measuring Performance Bottlenecks

Science


We dealt with the computer in computer science by showcasing some hardware in the previous chapter. Now, it's time for the science bit.

It's important to take a scientific approach if you wish to achieve consistently reliable results. Have a methodology or test plan and follow it the same way every time, only changing the thing that you want to measure. Automation can help a lot with this.

It's also important to always measure for your use case on your systems with your data. What worked well for someone else may not work out great for you.

We will talk more about science and statistics later in the book. Taking a simple average can be misleading but it's fine to use it as a gentle introduction. Read Chapter 8, The Downsides of Performance Enhancing Tools, for more on concepts such as medians and percentiles.

Repeatability

Results need to be repeatable. If you get wildly different results every time you test, then they can't be relied upon. You should repeat tests and take the average...