Book Image

C# 7 and .NET Core 2.0 High Performance

By : Ovais Mehboob Ahmed Khan
Book Image

C# 7 and .NET Core 2.0 High Performance

By: Ovais Mehboob Ahmed Khan

Overview of this book

While writing an application, performance is paramount. Performance tuning for realworld applications often involves activities geared toward fnding bottlenecks; however, this cannot solve the dreaded problem of slower code. If you want to improve the speed of your code and optimize an application's performance, then this book is for you. C# 7 and .NET Core 2.0 High Performance begins with an introduction to the new features of what?explaining how they help in improving an application's performance. Learn to identify the bottlenecks in writing programs and highlight common performance pitfalls, and learn strategies to detect and resolve these issues early. You will explore multithreading and asynchronous programming with .NET Core and learn the importance and effcient use of data structures. This is followed with memory management techniques and design guidelines to increase an application’s performance. Gradually, the book will show you the importance of microservices architecture for building highly performant applications and implementing resiliency and security in .NET Core. After reading this book, you will learn how to structure and build scalable, optimized, and robust applications in C#7 and .NET.
Table of Contents (11 chapters)
Designing Guidelines for .NET Core Application Performance

Understanding the use of Big O notation to measure the performance and complexity of an algorithm

Big O notation is used to define the complexity and performance of an algorithm with respect to time or space consumed during execution. It is an essential technique to express the performance of an algorithm and determine the worst-case complexity of the program.

To understand it in detail, let's go through some code examples and use Big O notation to calculate their performance.

If we calculate the complexity of the following program, the Big O notation will be equal to O(1):

static int SumNumbers(int a, int b) 
  return a + b; 

This is because, however the parameter is specified, it is just adding and returning it.

Let's consider another program that loops through the list. The Big O notation will be determined as O(N):

static bool FindItem(List<string> items...