C++ and Kubernetes: Building High-Performance Cloud Applications
300 pages
English
PDF
4.5

C++ and Kubernetes: Building High-Performance Cloud Applications

C++ and Kubernetes: Building High-Performance Cloud Applications

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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.

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