Book Image

Software Architecture with C++

By : Adrian Ostrowski, Piotr Gaczkowski
Book Image

Software Architecture with C++

By: Adrian Ostrowski, Piotr Gaczkowski

Overview of this book

Software architecture refers to the high-level design of complex applications. It is evolving just like the languages we use, but there are architectural concepts and patterns that you can learn to write high-performance apps in a high-level language without sacrificing readability and maintainability. If you're working with modern C++, this practical guide will help you put your knowledge to work and design distributed, large-scale apps. You'll start by getting up to speed with architectural concepts, including established patterns and rising trends, then move on to understanding what software architecture actually is and start exploring its components. Next, you'll discover the design concepts involved in application architecture and the patterns in software development, before going on to learn how to build, package, integrate, and deploy your components. In the concluding chapters, you'll explore different architectural qualities, such as maintainability, reusability, testability, performance, scalability, and security. Finally, you will get an overview of distributed systems, such as service-oriented architecture, microservices, and cloud-native, and understand how to apply them in application development. By the end of this book, you'll be able to build distributed services using modern C++ and associated tools to deliver solutions as per your clients' requirements.
Table of Contents (24 chapters)
1
Section 1: Concepts and Components of Software Architecture
5
Section 2: The Design and Development of C++ Software
6
Architectural and System Design
10
Section 3: Architectural Quality Attributes
15
Section 4: Cloud-Native Design Principles
21
About Packt

Drawbacks of concurrency and how to deal with it

While concurrency improves performance and resource utilization, it also makes your code much harder to design and debug. This is because, unlike in a single-threaded flow, the timing of operations cannot be determined upfront. In single-threaded code, you either write to the resource or read from it, but you always know the order of the operations and can, therefore, predict the state of the object.

With concurrency, several threads or processes can be either reading from an object or modifying it at the same time. If the modifications aren't atomic, we can reach one of the variants of the common update problem. Consider the following code:

TransactionStatus chargeTheAccount(AccountNumber acountNumber, Amount amount)
{
  Amount accountBalance = getAcountBalance(accountNumber);
  if (accountBalance > amount)
  {
    setAccountBalance(accountNumber, accountBalance - amount);
    return TransactionStatus::TransactionSuccessful;
 ...