Deterministic Systems Collection

Designing Deterministic Systems with Modern C++ is about building software systems you can reason about. Rather than treating Linux as something to “port to” late in development, this book uses a standard Linux host as a first-class environment for designing, validating, and stress-testing deterministic behavior before hardware exists. Using modern C++ and disciplined system architecture, it focuses on bounded execution, explicit ownership, analyzable data flow, and long-term maintainability—problems that dominate real embedded systems but are rarely addressed directly.

Instead of treating the host machine as an afterthought, this book embraces it as the most powerful tool you have. You’ll learn how to build a pseudo-realtime development environment using techniques like CPU isolation, memory locking, scheduling policies, and high-resolution timers. These tools allow you to prototype and validate embedded-style systems long before hardware arrives.

Throughout the book, we build a complete working example:

The Weather Reporter Device — a small “IoT-style” embedded system that ingests multiple sensor inputs, processes them through deterministic pipelines, and outputs standardized weather reports in multiple formats (NMEA, JSON, and compact binary).

Along the way, you’ll learn modern, production-strength C++ techniques, including:

• Practical use of C++17 for embedded and host-based development
• Clean modular design without unnecessary inheritance
• External polymorphism and type erasure for flexible interfaces
• Deterministic message parsing, serialization, and buffer handling
• Strategies for writing testable and replaceable components
• Building real-time–style pipelines on non–real-time hardware
• Simulating sensors, processors, and timing behaviors on Linux
• Designing APIs that survive scaling, refactoring, and porting

This book emphasizes clarity over cleverness, determinism over abstraction, and testability over hacks. Every chapter is structured around real code, real constraints, and real engineering trade-offs.

Whether you're a professional firmware engineer, a modern C++ developer exploring embedded systems, or someone building small devices and simulators on Linux, this book will give you a concrete foundation and a clear path from idea to working system.

This book is about building software systems at the right level of abstraction.

I first wrote about this here.

In many codebases, the structure of the system is buried in implementation details—classes, methods, and glue code that obscure how data actually flows and how components interact.

Over time, this makes systems harder to understand, harder to change, and more fragile than they need to be.

Instead of starting with code, we describe the system using a simple, domain-focused model. That model defines the data, the flow of that data, and the components that transform it. From that description, we generate the implementation using explicit, deterministic rules.

The result is a system where:

• the architecture is visible and intentional
• the implementation follows a consistent pattern
• repetitive infrastructure is generated instead of hand-written

This is not about generating code faster. It is about generating code correctly and consistently, in a way that preserves the structure of the system over time.

The techniques in this book use simple tools—YAML, Python, and Jinja2—but the goal is not the tools themselves. The goal is to move from programming at the level of syntax to designing at the level of systems.

This approach is especially relevant for embedded and systems software, where control, predictability, and long-term maintainability matter.

If you have worked on systems that became difficult to reason about as they grew, this book offers a different path.