Performance Tuning And Optimizing Asp Net Applications

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Performance Tuning and Optimizing ASP.NET Applications

The technical book market today is flooded with a slew of titles on how to build applications with the .NET technology, and many are undoubtedly very good. But the majority of these titles simply take a "how-to" approach on programming with the .NET Framework. They often pay little more than cursory attention to the real-world issues and challenges that developers face. Performance is one of those challenges. This book is for intermediate to advanced .NET developers who need answers to the hard questions on how to build high-performance ASP.NET applications. Authors Jeffrey Hasan and Kenneth Tu focus on how to make good design decisions for performance. They discuss how to develop applications with performance in mind. And they pay special attention to the tools available to developers to quantify and monitor performance issues and to diagnose performance problems more quickly. Infused with the authors' collective experiences, gathered from years of building high-performance web applications, this is a book that developers will want to keep on the shelf for a long time.
Pro .NET Performance

Maximizing the performance of your algorithms and applications is extremely important and can give you a competitive advantage, a lower cost of ownership, and happier users. Pro .NET Performance explains the internals of Windows, the CLR, and the physical hardware that affect the performance of your applications, and gives you the knowledge and tools to measure how your code performs in isolation from external factors. The book is full of C# code samples and tips to help you squeeze every bit of juice from your application—lower memory utilization, consistent CPU usage, and fewer I/O operations across the network and disk. Pro .NET Performance will change the way you think about .NET application development. Guides you through performance measurement with a variety of profilers and other tools Explains how OS and CLR internals affect your application’s performance in unexpected ways Provides you with tips and real-life case studies for improving application performance