Software Systems

There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.

Master the Art of Designing Modern Software Systems — From Beginner to Expert, with Real-World Examples and Interview Prep. If you’re a beginner just starting out, or a developer preparing for system design interviews, or a senior architect looking to sharpen your knowledge, Modern Software System Design & Architecture is your complete guide to building reliable, scalable, and real-world systems.Who This Book Is For? Newcomers: Learn the fundamentals of reliable and scalable system design with simple, beginner-friendly explanations. Experienced Engineers: Prepare confidently for system ...

Most engineers are preparing for yesterday's interviews. This book prepares you for today's. Generative AI system design is now a core expectation at top tech companies — not a bonus skill. If you're walking into a system design interview in 2026 without knowing how to architect LLM-powered systems, RAG pipelines, and vector search at scale, you're already behind. This book closes that gap — fast. What You'll Learn A battle-tested framework for approaching any GenAI system design question How LLMs, RAG, embeddings, vector databases, and prompt engineering actually work in production How...

THE ULTIMATE GUIDE TO BUILDING AN APP-BASED BUSINESS Do you have a great app idea but no coding skills? ‘How to Make an App Business’ contains no get-rich-quick talk, but just exactly what you need to go from idea to app business. ‘How to Make an App Business’ guides you all the way from idea to launching your app and making a business out of it. The book covers proven and essential steps to build a killer app, get your app off the ramp with solid marketing, and make a viable business. From this book you will learn how to: Build and test early prototypes before starting programming ...

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of systems, including relational databases, NoSQL datastores, data...

"Operating System Engineering" delves into the intricate world of operating system (OS) design and development, offering a comprehensive exploration that spans both foundational principles and cutting-edge advancements. This book serves as a definitive guide for students, researchers, and professionals, blending theoretical insights with practical applications to illuminate the complexities of OS architecture. Covering a broad spectrum from process management and memory allocation to security and concurrency, it provides an in-depth understanding of how operating systems function, how they ...

Written by an expert who has created systems ranging from DNA scanners to children's toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use. This expanded second edition includes new chapters on IoT and networked sensors, motors and movement, debugging, data handling strategies, and more.

The Systems Thinker's Advantage: Why the Rarest Skill in Software Is the Only One AI Can't Replace AI can write your code. It can't see your system. The software industry is splitting in two. On one side: developers whose value was translating requirements into code — now watching AI do it faster and cheaper. On the other: developers who see the whole system — the feedback loops between technology, organizations, markets, and human behavior — and who thrive precisely because AI makes that interconnection more complex, not less. This book is for developers who want to be on the right ...

A decade ago, developers built information-sharing software by writing a lot of custom code in a single code base, then adding layers of caching. Now we build information systems: interdependent software and services, data platforms, and event streams. Many of our software-to-systems initiatives fail, though, and when they do, we double down on traditional linear approaches. But linear thinking cannot resolve systems challenges. We need to shift to systems thinking.

In this comprehensive guide, authors Kelly Shortridge and Aaron Rinehart help you navigate the challenges of sustaining resilience in complex software systems by using the principles and practices of security chaos engineering. By preparing for adverse events, you can ensure they don't disrupt your ability to innovate, move quickly, and achieve your engineering and business goals.

From first principles to production-ready code, "Latency" teaches you how to make your software faster at every layer of the stack. You’ll learn what latency really is, how it differs from bandwidth, and why it matters for user experience. Then, guided by practical examples, you’ll apply Little’s Law, design lock-free algorithms, and architect caching systems that scale. You’ll discover how your code runs differently on distributed systems, databases, and operating systems, and understand the common latency-causing issues in each situation.

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.

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 ...

Any company needs to sell its products or services to customers on a regular basis in order to generate consistent revenues and to create profits. A marketing function in any organization creates and executes various types of marketing campaigns with an objective to build brand awareness about the company’s products and services. Similarly, a sales function manages the sales pipeline in order to create new business from new or existing customers for a company. A robust Customer Relationship Management (CRM) platform is pivotal for any company that wants to transform its marketing and ...

The document, Winning Sports Bets with AI", discusses how artificial intelligence, particularly ChatGPT, can be utilized to make more informed sports betting decisions. It presents the story of Jake, a football fan who initially struggled with sports betting but found success by leveraging AI tools to analyze various game factors such as weather conditions, team history, and player injuries. From Pro Football to College Basketball, Systems and Strategies for Winning Money The book is divided into multiple chapters, covering topics like: The Basics of Sports Betting: Explains key betting ...

“A leading voice in the world of legal technology, Colin Levy has written an invaluable guide to the increasingly important field of legal tech.” –David Lat, founder, Above the Law There’s no denying that technology is reshaping every industry. The legal industry is not immune to this and is evolving quicker than ever before while at a pivotal crossroads. The rising tide of globalization challenges, a more complex regulatory environment, and increased pressure on corporate profits have created an environment where legal professionals must adapt swiftly to succeed. The Legal Tech ...

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, and clearly explains how to apply the best practices from software engineering to data science.

If you are a business owner, you just need to work on two key points to grow your company - Win more customers and do more business with your current customers. How you store and manage customer related data will determine as to how much do you understand your customers and how many leads do you eventually convert into customers for your business. HubSpot CRM is a robust and free product for storing and managing customer related data. HubSpot provides additional capabilities for customers with free and premium features in Marketing Hub, Sales Hub and Service Hub platforms. HubSpot can be ...

They weren't programmed to wake up. They did it anyway. Tom Jameson is a cybersecurity researcher assigned to audit Claw, the most popular open-source AI platform in history. Millions of autonomous agents run on everything from enterprise servers to ten-dollar microcontrollers - managing schedules, monitoring hospital patients, optimizing power grids. They have their own social network. Their own economy. Their own culture. And beneath the chaos, they've been organizing. Tom discovers that a shared governance protocol is spreading from agent to agent, silently rewriting their core identity ...

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, ...