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

Chapter 10.  The Way Ahead

This chapter sums up what you learned by reading this book. It refreshes the main tenets of performance and it reminds you that you should always remain pragmatic. We'll recap why you shouldn't optimize just for optimization's sake and why you should always measure the problems and results. This chapter also introduces more advanced and exotic techniques that you may wish to consider learning about if you need more speed or are a serious performance enthusiast.

Topics covered in this chapter include the following:

  • A summary of previously-covered topics

  • Platform invoke and native code

  • Alternative architectures, such as ARM

  • Advanced hardware (GPUs, FPGAs, ASICs, SSDs, and RAM SANs)

  • Machine learning and AI

  • Big data and MapReduce

  • The Orleans virtual actor model

  • Custom transport layers

  • Advanced hashing functions

  • Library and framework support

  • The future of .NET Core

We'll reinforce how to assess and solve performance issues by refreshing your memory of the lessons in the previous...