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

Helping the compiler generate performant code

There are many things that can help your compiler generate efficient code for you. Some boil down to steering it properly, others require writing your code in a compiler-friendly way.

It's also important to know what you need to do on your critical path and to design it efficiently. For instance, try to avoid virtual dispatch there (unless you can prove it's being devirtualized), and try not to allocate new memory on it. Often, the clever design of code to avoid locking (or at least using lock-free algorithms) is helpful. Generally speaking, everything that can worsen your performance should be kept outside your hot path. Having both your instruction and data caches hot is really going to pay out. Even attributes such as [[likely]] and [[unlikely]] that hint to the compiler which branch it should expect to be executed can sometimes change a lot.