Architecture of C++ Applications: Scalability and Maintainability
300 pages
English
PDF
4.5

Architecture of C++ Applications: Scalability and Maintainability

Architecture of C++ Applications: Scalability and Maintainability

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Summary:

The book "Architecture of C++ Applications" is a practical guide to creating scalable, maintainable, and high-performance software systems in C++. Unlike many textbooks that focus on syntax or individual algorithms, this book is dedicated to making the right architectural decisions at all stages of development: from choosing a project structure to implementing complex design patterns and dependency management.



The author, Alexey Petrov, a senior developer with 15 years of experience, shares proven approaches. You will learn not just to write code, but to build systems that are easy to extend, test, and maintain for years.



Who is this book for?

  • Junior and Middle developers who want to move from writing "working code" to designing architecture.
  • Senior engineers seeking to systematize knowledge and learn modern approaches (C++17/20).
  • Software architects looking for concrete examples of implementing patterns in C++.
  • Team Leads who want to foster a culture of quality code and code review in their team.


What will you learn from the book?

  • Fundamental principles: SOLID, DRY, KISS, YAGNI and their application in the context of C++.
  • Design patterns: Implementation of classic GoF patterns (Factory, Observer, Strategy, Command) taking into account C++ specifics (RAII, smart pointers, move semantics).
  • Dependency management: Loose coupling, dependency injection (DI), working with the Pimpl idiom.
  • Modularity and components: Designing libraries, working with namespaces, C++20 modules.
  • Memory management: How to avoid leaks, correctly use smart pointers, memory pools, and allocators.
  • Architecture testing: Unit tests, mocks, component composition testing.
  • Refactoring legacy code: Step-by-step strategies for turning "spaghetti code" into clean architecture.
  • Performance and safety: Profiling, asynchrony, working with multithreading without data races.


Book features

  • All code examples are written in modern C++17/20 using std::optional, std::variant, ranges.
  • Real-world industry cases: game engines, financial systems, embedded software.
  • Exercises and self-test questions at the end of each chapter.
  • Comparative analysis of various architectural approaches (monolith, microservices, plugins).


The book is available for reading in PDF, EPUB formats, and online on the PythonLib website. It is ideal for those who want to become not just a programmer, but an engineer-architect.

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