Licensing of Microsoft products has historically been a minefield of complexity. You can even sit for an official exam on it and get a qualification. Microsoft's recent move toward open source practices is very encouraging, as the biggest benefit of open source is not the free monetary cost but that you don't have to think about licensing costs. You can also fix issues, and with a permissive license (such as MIT), you don't have to worry about much. The time costs and cognitive load of working out licensing implications now and in future can dwarf the financial sums involved (especially for a small company or startup).
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Book Overview & Buying
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Table Of Contents
ASP.NET Core 2 High Performance - Second Edition
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ASP.NET Core 2 High Performance
By:
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)
Preface
Free Chapter
What's New in ASP.NET Core 2?
Why Performance Is a Feature
Setting Up Your Environment
Measuring Performance Bottlenecks
Fixing Common Performance Problems
Addressing Network Performance
Optimizing I/O Performance
Understanding Code Execution and Asynchronous Operations
Learning Caching and Message Queuing
The Downsides of Performance-Enhancing Tools
Monitoring Performance Regressions
