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

Hashing and checksums

Hashing is an important concept, which is often used to ensure data integrity or lookup values quickly and so it is optimized to be fast. This is why general hashing functions should not be used on their own to securely store passwords. If the algorithm is quick, then the password can be guessed in a reasonably short amount of time. Hashing algorithms vary in their complexity, speed of execution, output length, and collision rate.

A very basic error detection algorithm is called a parity check. This adds a single bit to a block of data and is rarely used directly in programming. It is, however, extensively used at the hardware level, as it is very quick. Yet, it may miss many errors where there are an even number of corruptions.

A Cyclic Redundancy Check (CRC) is a slightly more complex error detecting algorithm. The CRC-32 (also written CRC32) version is commonly used in software, particularly in compression formats, as a checksum.


You may be familiar with the built...