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
About the Author
About the Reviewer
Measuring Performance Bottlenecks

The price of performance

Developers should have an idea of the available budget for performance and understand the cost of the code that they write, not just in execution throughput but in readability, maintainability, and power efficiency. Throwing more cores at a unit of work is not nearly as good as refactoring it to be simpler.

Efficiency has become increasingly important, especially with the rise of mobile devices and cloud computing time-based usage billing. Parallelizing an inefficient algorithm may solve a performance problem in the time domain, but it's a crude brute-force approach and altering the underlying implementation may be better.

Less is often more and sometimes doing nothing is the best approach. Software engineering is not only about knowing what to build but what not to build. Keeping things simple helps others on your team use your work. You should aim to avoid surprising anyone with nonobvious behavior. For example, consider that you build an API and then give it conventional...