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

Pipes and filters pattern

The first integration pattern that we'll discuss is called pipes and filters. Its purpose is to decompose a big processing task into a series of smaller, independent ones (called filters), which you can then connect together (using pipes, such as message queues). This approach gives you scalability, performance, and reusability.

Assume you need to receive and process an incoming order. You can do it in one big module, so you don't need extra communication, but the different functions of such a module would be hard to test and it would be harder to scale them well.

Instead, you can split the order processing into separate steps, each handled by a distinct component: one for decoding, one for validating, another one for the actual processing of the order, and then yet another one for storing it somewhere. With this approach, you can now independently perform each of those steps, easily replace or disable them if needed, and reuse them for processing...