Building Technology

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.

Instead of jumping right into the instructions, this book will provide you first with all the necessary concepts that you need to learn in order to make the learning process a whole lot easier. This way, you're sure not to get lost in confusion once you get to the more complex lessons provided in the latter chapters. Examples are provided for a more knowledgeable approach on your learning.

How can we apply technology to drive business value? For years we've been told that the performance of software delivery teams doesn't matter - that it can't provide a competitive advantage to our companies. Through four years of groundbreaking research to include data collected from the State of DevOps reports conducted with Puppet, Dr. Nicole Forsgren, Jez Humble, and Gene Kim set out to find a way to measure software delivery performance - and what drives it - using rigorous statistical methods.

Recent breakthroughs in AI have not only increased demand for AI products, they've also lowered the barriers to entry for those who want to build AI products. The model-as-a-service approach has transformed AI from an esoteric discipline into a powerful development tool that anyone can use. Everyone, including those with minimal or no prior AI experience, can now leverage AI models to build applications. In this book, author Chip Huyen discusses AI engineering: the process of building applications with readily available foundation models.

Drawing from her experience at Google and Meta, Dr. Marily Nika delivers the definitive guide for product managers building AI and GenAI powered products. Packed with smart strategies, actionable tools, and real-world examples, this book breaks down the complex world of AI agents and generative AI products into a playbook for driving innovation to help product leaders bridge the gap between niche AI and GenAI technologies and user pain points.

How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances? Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times best-selling author Martin Ford uncovers the truth behind these questions from some of the brightest minds in the artificial intelligence community.

In today's fast-paced world, more and more organizations require rapid application development with reduced development costs and increased productivity. This practical guide shows application developers how to use Power Apps, Microsoft's low-code, no-code application framework that helps developers make apps faster, modernize business processes, and solve tough challenges. Author Arpit Shrivastava provides a comprehensive overview of designing and building cost-effective applications with Microsoft Power Apps.

Cyber risk management is one of the most urgent issues facing enterprises today. This book presents a detailed framework for designing, developing, and implementing a cyber risk management program that addresses your company's specific needs. Ideal for corporate directors, senior executives, security risk practitioners, and auditors at many levels, this guide offers both the strategic insight and tactical guidance you're looking for.

This audiobook teaches you how to build an intelligent system from end to end and leverage machine learning in practice. You will understand how to apply your existing skills in software engineering, data science, machine learning, management, and program management to produce working systems.

Engaging users is essential to every area of online business... Discover everything you need to know to make sure that happens. Are you considering a career in UX design? Or maybe you collaborate with UX designers and don’t fully understand what it is they do…It’s a field that flummoxes many people because it’s such a fast-growing industry, and if you have no background in design, it can seem like an intimidating field to break into.

In an era of rapid technological disruption, The AI Leverage is a transformative guide for navigating change with clarity, confidence, and conviction. Blending personal storytelling with practical strategies like the revolutionary 360 Character Rule, this book empowers listeners to uncover their purpose, build lasting resilience, and pursue meaningful success. Whether you're a leader, creative, entrepreneur, or professional in transition, this book provides the tools to turn uncertainty into opportunity. Don’t just survive the future, leverage it. Your transformation starts here.

Cybersecurity is one of the world’s fastest growing, most exciting fields—but that doesn’t mean it’s easy to enter the industry and succeed. Now there’s a complete guide to creating a great cybersecurity career, whether you’re migrating to cybersecurity from another field or already a cybersecurity professional.

Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models.

Unlock the World of Neural Networks in Python! Ready to dive into AI and machine learning? This guide makes it easy, even if you're a Python pro or a total beginner!

Factories create massive amounts of data from IoT sensors, MES, SCADA, quality systems, supply chain, maintenance, and others. Yet most organizations can’t turn it into decisions fast enough. The result is reactive firefighting and AI pilots that stall. The Unified Manufacturing Data Architecture (UMDA) is a practical framework built for industry, not adapted from IT. It shows you how to handle real-time streams, integrate legacy systems, enforce security, and scale AI across sites.

Have you ever looked at a skyscraper and wondered how it was built? Do you ever look up at a tall building and wonder how it does not fall down? This story helps you explore the changes that have led to the creation of skyscrapers! You will get to see the different materials that have been developed to allow for better stability. You will get to understand how things like iron, steel, and concrete have revolutionized the way buildings are built and designed. By the end of this story, you will have a new appreciation for the skyscrapers that are all over the world!

Is Raspberry Pi 2 what you want to learn? Always wondered how one becomes proficient in this programming language? Does it interest you how Raspberry Pi works? Download this book to discover everything you need to know about programming!

As businesses increasingly rely on cloud technologies, traditional application architectures struggle to keep pace with demands for scalability, agility, and resilience. Cloud-Native Architecture is your essential guide to designing and building modern applications optimized for the cloud environment.

As artificial intelligence evolves beyond narrow task execution, a new frontier is emerging— Building Agency AI, where intelligent systems are designed to act with autonomy, adapt to uncertainty, and pursue goals independently. This book explores the foundations, architectures, and real-world applications of agentic AI systems, from personal digital assistants and autonomous vehicles to intelligent enterprise agents and AI-driven scientific discovery.

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.