DevOps for C++ Developers: Automation, CI/CD and Containerization

The book "DevOps for C++ Developers" is a practical guide that bridges the gap between classical C++ development and modern DevOps practices. Unlike dynamically typed languages, C++ imposes special requirements on build, linking, and testing processes, which often makes standard DevOps approaches not directly applicable. The author, Alexey Voronov, with over 10 years of experience in developing high-load systems, shares proven methodologies and patterns for organizing the full delivery cycle of C++ applications.

The book is intended for Middle-level and above C++ developers who want to:

• Automate routine build and testing processes;
• Set up continuous integration (CI) for projects using CMake, Makefile, and other build systems;
• Package C++ applications into Docker containers (including multi-stage builds to reduce image size);
• Organize regression, unit, and integration testing in pipelines;
• Implement Infrastructure as Code practices for managing development and production environments.

Special attention is given to:

• Build and Dependencies — dependency management via vcpkg and Conan, build time optimization using caching (ccache, sccache);
• CI/CD Pipelines — step-by-step creation of pipelines in GitHub Actions, GitLab CI, and Jenkins for C++ projects;
• Containerization — creating lightweight Docker images for C++ applications, working with Alpine Linux, resolving issues with glibc and static linking;
• Testing — integrating Google Test, Catch2, and Boost.Test into CI, generating code coverage reports (gcov, lcov);
• Monitoring and Logging — setting up metric collection and centralized logging for C++ services.

All examples are based on real projects and come with ready-made configuration files that can be adapted to your own tasks. The book is written without fluff — each section contains practical advice, common mistakes, and ways to solve them.

After reading, you will be able to:

• Reduce the deployment time of new versions from hours to minutes;
• Avoid the "it works on my machine" syndrome thanks to automated testing in environments identical to production;
• Set up performance monitoring for your C++ services;
• Confidently use Docker, Kubernetes, and orchestration systems for C++ applications.

The book is suitable both for teams just starting to implement DevOps and for experienced engineers looking for specific solutions for the C++ ecosystem. All code examples are available in the repository on GitHub.