Book Image

Hands-On Design Patterns with C# and .NET Core

By : Gaurav Aroraa, Jeffrey Chilberto
Book Image

Hands-On Design Patterns with C# and .NET Core

By: Gaurav Aroraa, Jeffrey Chilberto

Overview of this book

Design patterns are essentially reusable solutions to common programming problems. When used correctly, they meet crucial software requirements with ease and reduce costs. This book will uncover effective ways to use design patterns and demonstrate their implementation with executable code specific to both C# and .NET Core. Hands-On Design Patterns with C# and .NET Core begins with an overview of object-oriented programming (OOP) and SOLID principles. It provides an in-depth explanation of the Gang of Four (GoF) design patterns, including creational, structural, and behavioral. The book then takes you through functional, reactive, and concurrent patterns, helping you write better code with streams, threads, and coroutines. Toward the end of the book, you’ll learn about the latest trends in architecture, exploring design patterns for microservices, serverless, and cloud native applications. You’ll even understand the considerations that need to be taken into account when choosing between different architectures such as microservices and MVC. By the end of the book, you will be able to write efficient and clear code and be comfortable working on scalable and maintainable projects of any size.
Table of Contents (19 chapters)
Free Chapter
1
Section 1: Essentials of Design Patterns in C# and .NET Core
4
Section 2: Deep Dive into Utilities and Patterns in .NET Core
10
Section 3: Functional Programming, Reactive Programming, and Coding for the Cloud

The principles of reactive programming

These days, everyone is talking about asynchronous programming. Various applications are built on RESTful services that use asynchronous programming. The term asynchronous is relevant to reactive programming. Reactive is all about data streams, and reactive programming is a model structure that is built around asynchronous data streams. Reactive programming is also known as the art of programming the propagation of changes. Let's go back to our example from Chapter 8, Concurrent Programming in .NET Core, where we were discussing the ticket collection counters at a big conference.

In addition to the three ticket-collection counters, we have one more counter named the calculation counter. This fourth counter concentrates on counting the collection, and it counts how many tickets are distributed from each of the three counters. Consider...