Systems Engineering

Complex systems demand better ways of working. SysML in Practice is a practical guide to Model-Based Systems Engineering, showing you how to use SysML to model, analyze, and manage complex systems with confidence. With clear explanations, real-world examples, and industry case studies, you'll gain the skills to apply MBSE effectively from your first system model to enterprise-scale engineering.

This book gives senior technology leaders a practical operating system for enterprise AI strategy. It turns scattered pilots into a board-ready plan by walking through strategy, economics, vendor decisions, ownership, governance, GenAI architecture, and roadmap assembly: AI Platform Scorecard, Use-Case Prioritization Matrix, Budget Model + Cost Guardrails, Vendor Decision Framework, RACI Matrix.

Large language models are not the architecture. Enterprise Intelligence Architecture shows how memory, governance, orchestration, validation, and model routing work together to build AI systems that are reliable, explainable, and production-ready. A practical blueprint for architects, AI engineers, and technical leaders.

Build Android applications that scale with confidence. Android App Architecture Mastery (2026 Edition) delivers a production-focused blueprint for designing modular, testable, and maintainable apps using Clean Architecture, MVVM, MVI, Kotlin Coroutines, Flow, Hilt, Jetpack Compose, and modern Android engineering best practices.

Prepare for senior Go interviews, or for the jump from mid-level to senior, with a focus on AI platform engineering: LLM gateways, RAG, vector search, Kubernetes, observability, concurrency ownership, and production failure modes. Includes interview questions, senior-level answer rubrics, executable Go examples, and a production-oriented RAG service capstone you can run, test, break, and explain.

Build a Linux operating system from source with only the components you need. Learn how the kernel, boot process, system utilities, libraries and package management work together while gaining the practical skills to build and maintain your own Linux distribution.

I wrote this book to show exactly what happens when you add Rust to the kernel. Not as a toy. Not as a single driver in a conference demo. It's a full module that covers process management, memory allocation, file systems, networking, device drivers, inter-process communication, and even machine learning inference. It's all built on safe abstractions, all compiled into one loadable binary, all tested on a running kernel. You'll find that each chapter adds new source files to the same module.

In a galaxy not so far, far away… You have just received a set of requirements—or desires disguised as requirements—wild needs or want statements vaguely describing some notion of what the system should do. Now what? Where do you start with the specifications? Rule One: Don’t Panic, and reach for Engineering on Purpose!