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

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...