Architecture Engineering

This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks.

Salary surveys worldwide regularly place software architect in the top ten best jobs, yet no real guide exists to help developers become architects. Until now. This updated edition provides a comprehensive overview of software architecture's many aspects, with five new chapters covering the latest insights from the field. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming architecture, governance, data, generative AI, team topologies, and many other topics.

Artificial intelligence is no longer just a chatbot. It is an operational control layer. OpenClaw for Revenue-Generating AI Systems is a practical, implementation-focused guide to building real AI-native systems that automate workflows, manage risk, scale securely, and generate recurring revenue. This book moves beyond prompt experimentation and shows you how to design, build, deploy, and monetize production-grade AI systems using OpenClaw. You will learn how to transform AI from a feature into a revenue engine. What You’ll Build Inside this book, you’ll implement fully structured, real...

AI Hardware, Software, and Architectures Powering Modern Artificial Intelligence From GPUs and ASICs to CUDA, Accelerators, Compilers, and Runtimes Modern artificial intelligence is not powered by models alone—it is driven by a carefully engineered stack of hardware, software, and system architectures working together at scale. This book provides a clear, practical, and system-level view of how modern AI actually runs, from silicon to software. It explains how GPUs, ASICs, and emerging accelerators execute neural networks, how CUDA and alternative runtimes expose hardware capabilities, ...

Building LLMs from Scratch is a complete, end-to-end guide to designing, training, evaluating, and deploying a real Large Language Model—not a toy example, not a wrapper around an API, and not a collection of disconnected tutorials. This book walks you through a single, cohesive use case: building a production-ready Engineering Copilot LLM from the ground up. Every chapter builds on the previous one, showing how modern LLM systems are actually constructed, governed, optimized, and maintained in the real world. You will learn not just how LLMs work, but how to engineer them responsibly. ...

Build a Real AI Agent. Deploy It. Monetize It. Most AI books explain concepts. This book shows you how to build a revenue-generating AI agent from start to finish — and turn it into a real SaaS product. Building a Revenue-Generating AI Agent is a complete implementation guide for developers, engineers, and founders who want more than theory. Inside, you’ll design, build, deploy, and monetize a production-ready AI system using modern architecture patterns. You won’t just build a chatbot. You will build: A structured AI agent architecture A document ingestion pipeline A chunking and ...

"Software Architecture and Design Patterns" is an intensely practical, hands-on guide written for the modern software developer to understanding and applying the core concepts of software architecture and design patterns. In a world where technology evolves at a breakneck pace, the principles of good design and robust architecture remain the timeless foundation of all successful software. This book is dedicated to teaching those principles not as abstract theory, but as a tangible craft. It is built to bridge the critical gap between writing lines of code and architecting resilient, ...

If you are preparing for ISSEP while still shipping systems, supporting design reviews, or owning security outcomes, you already know the hard part is not memorizing terms. The hard part is turning a wide body of engineering and security knowledge into fast, defensible choices under time pressure. This book was built for that reality. ISSEP for Busy People is written for practitioners who build, assess, or lead security engineering work: security engineers, architects, system engineers, technical leads, and managers who must translate intent into requirements, design, and evidence. The ...

The demolition of Penn Station in 1963 destroyed not just a soaring neoclassical edifice, but also a building that commemorated one of the last century's great engineering feats: the construction of railroad tunnels into New York City. Now, in this gripping narrative, Jill Jonnes tells this fascinating story - a high-stakes drama that pitted the money and will of the nation's mightiest railroad against the corruption of Tammany Hall, the unruly forces of nature, and the machinations of labor agitators.

Are you an engineer, technician, student, or field professional who learns best by seeing? This is the visual engineering reference you have been looking for. The Engineering Drawing Vault delivers one of the largest collections of practical engineering illustrations ever assembled in a single reference volume. With more than 460 professionally illustrated diagrams, schematics, system layouts, and technical drawings spanning eight critical engineering disciplines, this book belongs on every engineer's desk, in every classroom, and in every field kit. This comprehensive visual reference ...

AI agents are no longer experimental—they are becoming core building blocks of modern software systems. From document analysis and workflow automation to enterprise decision support, AI agents now operate at the intersection of reasoning, data, and action. Building AI Agents Using Modern Platforms and Frameworks is a practical, architecture-first guide to designing, implementing, and scaling AI agent systems across today’s most widely used tools and platforms. Rather than focusing on a single vendor or framework, this book teaches you how to think like an AI agent architect. You will ...

The role of the cloud engineer is changing faster than most professionals realize. Infrastructure is no longer just built. It is generated, optimized, and continuously improved with AI. Workflows are no longer manual. They are automated, monitored, and intelligently adjusted in real time. The engineers who understand this shift are not just keeping their jobs. They are becoming the most valuable people in the room. This book is not about theory. It is about transformation. Cloud Engineering in the Age of AI is a practical, story-driven guide for engineers who want to move beyond routine ...

Large Language Models (LLMs) and Transformers are redefining how software is built, deployed, and operated. But most resources either stay theoretical or treat LLMs as black-box APIs. This book takes a different approach. LLM & Transformers: A Practical Guide to Building, Deploying & Operating AI Large Language Models From Scratch is a comprehensive, hands-on guide designed for engineers, architects, and technical practitioners who want to understand how LLMs actually work—and how to build real systems with them. Rather than focusing on hype or surface-level usage, this book walks you ...

Most AI books teach you prompts. This book teaches you systems. If you’ve ever felt that building AI applications is more than just calling an API… you’re right. This book takes you beyond chatbots and into the world of Agentic AI — where intelligent agents plan, reason, use tools, remember context, and collaborate to solve real problems. What Makes This Book Different? Unlike typical AI books that focus on isolated concepts, this guide shows you how to engineer complete AI systems. You won’t just learn what agents are — you’ll build them. ✔ Design intelligent agents with ...

Reality is not what it seems. Not fixed. Not silent. Not separate from the one who observes it. Quantum experiments reveal seams in the world… places where information appears without traveling… where outcomes wait for attention… where time behaves like something far more flexible than a river. These seams form a doorway. A narrow line where darkness gives way to light… where the familiar dissolves into the possible… where a question becomes the beginning of understanding. This book does not claim answers. It offers a key. If you have ever sensed something beneath the surface… Step closer.

The only concise, high-impact handbook you’ll ever need to master system design. The Ultimate System Design Cheatsheet isn’t another 400-page textbook full of theory. It’s a fast, practical, no-fluff guide that distills years of experience, research, and top interview questions into one compact, visual, and easy-to-recall handbook. Whether you’re preparing for FAANG-level interviews, architecting a startup system, or simply trying to understand how large-scale applications actually work — this cheatsheet will give you absolute clarity in record time.

"AI Engineering Design Pattern" is a definitive, implementation-oriented guide for building production-grade Artificial Intelligence systems. It systematically demystifies the process of taking a machine learning model from a conceptual stage to a fully deployed, operational, and maintainable application. This book is engineered to serve as a core textbook for university courses and as an indispensable reference for industry practitioners. Philosophy The central philosophy of this book is "Systems First, Models Second." While the machine learning model is the "brain" of an AI application, ...

Have you ever wondered how bridges don’t fall down or how really old buildings stay standing up? Basic principles of architecture and engineering, including an introduction to bridges, locks, arches, columns, and skyscrapers, are explored in this newest engaging addition to the How Do series.

Creativity Engineered reframes creativity as the master key for adaptation and renewal. Grounded in up-to-date insights from neuroscience, psychology, design, and ethics, it shows that creativity isn’t an accident of genius—it’s a disciplined, trainable system anyone can build and apply. This book pairs clear, research-literate explanation with actionable frameworks for working with (not against) uncertainty—and for collaborating wisely with AI.

"How to Become a Cloud Engineer in less than 6 Months" has been specifically prepared to help foster a career in cloud computing for anyone wanting to move to a rewarding career in Cloud Computing. In this book "How to Become a Cloud Engineer in less than 6 Months" you’ll find cloud career insight from technical experts that is covered in detail for anyone new to cloud computing. This guide has been designed to help you prepare for a rewarding career as a cloud engineer. This book provides readers the following to get started preparing for a cloud career. What a cloud engineer role could ...