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

Leveraging different types of measuring tools

There are several ways to measure performance, each focusing on a different scope. Let's go through them one by one.

Benchmarks can be used to time the speed of your system in a pre-made test. Usually, they result in either a time to finish or another performance metric such as orders processed per second. There are several types of benchmarks:

  • Microbenchmarks, which you can use to measure the execution of a small code fragment. We'll cover them in the next section.
  • Simulations, which are synthetic tests on a larger scale with artificial data. They can be useful if you don't have access to the target data or your target hardware. For instance, when you are planning to check the performance of hardware that you're working on, but it doesn't exist yet, or when you plan to handle incoming traffic, but can only assume how the traffic will look.
  • Replays, which can be a very accurate way of measuring performance under the...