Computer 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.

In the years following her role as the lead author of the international best seller, Limits to Growth - the first book to show the consequences of unchecked growth on a finite planet - Donella Meadows remained a pioneer of environmental and social analysis until her untimely death in 2001. Thinking in Systems is a concise and crucial book offering insight for problem-solving on scales ranging from the personal to the global. Edited by the Sustainability Institute's Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world....

All Systems Red is the tense first science fiction adventure novella in Martha Wells' series The Murderbot Diaries. For fans of Westworld, Ex Machina, Ann Leckie's Imperial Raadch series, or Iain M. Banks' Culture novels. The main character is a deadly security droid that has bucked its restrictive programming and is balanced between contemplative self-discovery and an idle instinct to kill all humans.

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.

Unlock the secrets of AI-powered income with AI Income Generator—the essential guide for anyone ready to turn artificial intelligence into real, sustainable revenue. Whether you’re a total beginner or a side hustle veteran, this audiobook walks you step-by-step through launching profitable online businesses using today’s most accessible AI tools—no coding required. Discover how to use ChatGPT, Canva, and automation platforms to create digital products, land freelance gigs, and build passive income streams that work while you sleep.

(ISC)2 Certified Information Systems Security Professional (CISSP) Official Study Guide, 9th Edition has been completely updated based on the latest 2021 CISSP Exam Outline. This bestselling Sybex study guide covers 100% of the exam objectives. You'll prepare for the exam smarter and faster with Sybex thanks to expert content, knowledge from our real-world experience, advice on mastering this adaptive exam, access to the Sybex online interactive learning environment, and much more. Reinforce what you've learned with key topic exam essentials and chapter review questions.

As artificial intelligence and automated systems increasingly shape our courts, hospitals, workplaces, and financial institutions, a fundamental question emerges: Who remains accountable when machines decide? Ethics in Autonomous Systems offers a rigorous yet accessible exploration of moral responsibility in a world governed by algorithms. Rather than treating automation as neutral or inevitable, this book challenges listeners to examine the ethical architecture beneath every line of code and every data-driven decision.

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.

NEW YORK TIMES BESTSELLER An urgent warning of the unprecedented risks that AI and other fast-developing technologies pose to global order, and how we might contain them while we have the chance—from a co-founder of the pioneering artificial intelligence company DeepMind and current CEO...

Your AI assistant loses all context the moment you close the chat. Your project history, codebase knowledge, and business data? Gone. You're stuck manually rebuilding context in every conversation, turning powerful AI into an expensive notepad. Model Context Protocol (MCP) changes everything. Building Memory for AI Systems with MCP shows developers, technical founders, and product builders how to integrate Claude AI with persistent memory systems to maintain context across sessions, access real data, and learn from experience over time.

Generative AI has revolutionized how organizations tackle problems, accelerating the journey from concept to prototype to solution. As the models become increasingly capable, we have witnessed a new design pattern emerge: AI agents. By combining tools, knowledge, memory, and learning with advanced foundation models, we can now sequence multiple model inferences together to solve ambiguous and difficult problems. From coding agents to research agents to analyst agents and more, we've already seen agents accelerate teams and organizations.

In February 2026, sixteen autonomous AI agents built a complete C compiler in just 14 days. They wrote 100,000 lines of production code, compiled the Linux kernel and PostgreSQL, and managed their own Git workflows without human intervention. This wasn't a research experiment. It was proof that AI agent swarms can deliver enterprise-grade software faster than traditional development teams.

Kill It with Fire examines aging computer systems, the evolution of technology over time, and how organizations can modernize, maintain, and future-proof their current systems. “Kill it with fire,” the typical first reaction to a legacy system falling into obsolescence, is a knee-jerk...

Technology has gradually transitioned from wired to wireless over the years with tons of benefits. From the internet of things to wireless communication, we are all witnesses of the huge benefits of wireless technologies. This audiobook covers various subjects and highlights both the benefits and challenges of wireless technologies.

Author Brendan Burns demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. This fully updated second edition includes new chapters on AI inference, AI training, and building robust systems for the real world.

This book takes a systemic look at our environment to better understand the risk landscape and take the lead to improve the management of cyber risk. To mitigate cyber risk from disrupting our organization's achievement of its business goals, IT needs to transform how they approach security. This book lays the foundation for a transformative journey for IT to re-imagine their cyber security program through the lens of systems thinking in the context of risk management.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.

Trust in Artificial Intelligence is not just a regulatory requirement—it is a matter of business ethics, cultural awareness, and responsible design. This book takes an integrated approach, revealing how Trustworthy AI Systems extend beyond algorithms, servers, and databases to also include appearance, environment, and humans.

As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.

Do you have a big interest in computers and how they work? Are you interested in learning how to become a hacker? Would you like to learn all of this in a safe and secure manner that can make life easier? Computer Networking: All in One contains all the knowledge you need to achieve your goals in the computer world.