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Fast ASP.NET Websites


Год: 2013
Автор: Dean Alan Hume
Жанр: Программирование
Издательство: Manning
ISBN: 9781617291258
Язык: Английский
Формат: PDF/EPUB
Качество: Изначально компьютерное (eBook)
Интерактивное оглавление: Да
Количество страниц: 210
Описание: Fast ASP.NET Websites delivers just what it promises—practical, hands-on guidance to create faster, more efficient ASP.NET sites and applications. This book offers step-by-step .NET-specific examples showing you how to apply classic page optimization tips, ASP.NET-specific techniques, and ways to leverage new HTML5 features.

There’s a real cost to inefficient HTTP requests, overloaded data streams and bulky scripts. Server throughput is a precious commodity and seconds—even tiny fractions of a second—can seem like an eternity while a visitor waits for your site to load. As an ASP.NET developer, there are dozens of techniques you can apply immediately to make your sites and applications faster. You’ll find them here.

Fast ASP.NET Websites delivers just what it promises—practical, hands-on guidance to create faster, more efficient ASP.NET sites and applications. This book offers step-by-step .NET-specific examples showing you how to apply classic page optimization tips, ASP.NET-specific techniques, and ways to leverage new HTML5 features.

Readers should be familiar with basic HTML, CSS, and ASP.NET concepts.

What’s Inside:
Drastically improved response times
Tips for Webforms and ASP.NET MVC sites
Optimizing existing pages
.NET-specific examples

Part 1: Defining performance
Chapter 1. High-speed websites
Chapter 2. First steps toward a faster website

Part 2: General performance best practices
Chapter 3. Compression
Chapter 4. Caching: The sell-by date
Chapter 5. Minifying and bundling static files
Chapter 6. HTML optimization tips
Chapter 7. Image optimization
Chapter 8. ETags
Chapter 9. Content Delivery Networks

Part 3: ASP.NET-specific techniques
Chapter 10. Tweaking ASP.NET MVC performance
Chapter 11. Tweaking ASP.NET Web Forms performance
Chapter 12. Data caching