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

Higher stability and reliability

Using Git to store the state of your system means you have access to an audit log. This log contains a description of all the changes introduced. If your task tracking system integrates with Git (which is a good practice), you can typically tell which business feature is related to the system's change.

With GitOps, there is less need to allow manual access to the nodes or the entire cluster, which reduces the chance of accidental errors originating from running an invalid command. Those random errors that get into the system are easily fixed by using Git's powerful revert feature.

Recovery from a severe disaster (such as losing the entire control plane) is also a lot easier. All it requires is setting up a new clean cluster, installing a GitOps operator there, and pointing it to the repository with your configuration. After a short while, you have an exact replica of your previous production system, all without manual intervention.