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

Parallel programming

While SIMD is good at increasing the performance of a single thread running on one core, it doesn't work across multiple cores or processors and its applications are limited. Modern scaling means adding more CPUs, not simply making a single thread faster. We don't just want to parallelize our data as SIMD does; we should actually focus more on parallelizing our processing, as this can scale better.

There are various .NET technologies available to help with parallel processing so that you don't have to write your own threading code. Two such parallel extensions are Parallel LINQ (PLINQ), which extends the LINQ operations you're familiar with, and the Task Parallel Library (TPL).

Task Parallel Library

One of the main features of the TPL is to extend loops to run in parallel. However, you need to be careful with parallel processing, as it can actually make your software slower while doing simple tasks. The overheads involved with marshalling the multiple tasks can dwarf the...