C++ and Kubernetes: Building High-Performance Cloud Applications
C++ and Kubernetes: Building High-Performance Cloud Applications
Summary:
The book "C++ and Kubernetes: Building High-Performance Cloud Applications" is a practical guide for developers who want to combine the power of the C++ language with the flexibility of Kubernetes container orchestration. Unlike typical Kubernetes books focused on Python or Go, this edition focuses on the specifics of working with native code, low-level memory management, and high performance in a cloud environment.
What the book is about
The book covers the full cycle of developing and deploying C++ applications in Kubernetes:
- Building lightweight Docker images for C++ (multi-stage builds, Alpine, static linking);
- Writing microservices in C++ using gRPC and REST (Crow, Pistache libraries);
- Working with the Kubernetes API from C++ (cpp-k8s client library);
- Managing configurations, secrets, and environment variables for native applications;
- Monitoring and logging (Prometheus, OpenTelemetry in C++);
- Performance optimization: CPU pinning, Huge Pages, NUMA in containers;
- Testing in Kubernetes (unit tests, integration tests, chaos engineering).
Who this book is for
- C++ developers transitioning to a microservices architecture;
- DevOps engineers working with high-load systems in C++;
- Architects designing hybrid solutions (native code + cloud);
- Students and researchers studying modern approaches to cloud computing.
What you will learn
- How to avoid common mistakes when containerizing C++ (image size, dependencies, signals);
- Ways to efficiently communicate between microservices in C++ and other languages;
- Methods for debugging and profiling in Kubernetes (Valgrind, perf, GDB in pods);
- How to use Custom Resource Definitions (CRD) to manage C++ applications;
- Scaling patterns: from StatefulSets for databases to DaemonSets for metric collection.
The book contains over 50 real-world code examples, ready for use in a production environment. All examples are available in the repository and have been tested on Kubernetes 1.28+. Whether you are writing a high-load backend, a real-time system, or a library for working with hardware, you will find practical recipes in this book for successful work in the cloud.
This is not just a book about Kubernetes — it is a bridge between the world of low-level C++ and modern cloud infrastructure.