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  • Book Overview & Buying ASP.NET Core 2 High Performance
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ASP.NET Core 2 High Performance

ASP.NET Core 2 High Performance - Second Edition

By : Singleton
2.3 (3)
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ASP.NET Core 2 High Performance

ASP.NET Core 2 High Performance

2.3 (3)
By: Singleton

Overview of this book

The ASP.NET Core 2 framework is used to develop high-performance and cross-platform web applications. It is built on .NET Core 2 and includes significantly more framework APIs than version 1. This book addresses high-level performance improvement techniques. It starts by showing you how to locate and measure problems and then shows you how to solve some of the most common ones. Next, it shows you how to get started with ASP.NET Core 2 on Windows, Mac, Linux, and with Docker containers. The book illustrates what problems can occur as latency increases when deploying to a cloud infrastructure. It also shows you how to optimize C# code and choose the best data structures for the job. It covers new features in C# 6 and 7, along with parallel programming and distributed architectures. By the end of this book, you will be fixing latency issues and optimizing performance problems, but you will also know how this affects the complexity and maintenance of your application. Finally, we will explore a few highly advanced techniques for further optimization.
Table of Contents (13 chapters)
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3
Setting Up Your Environment
4
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...

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