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Category: "Amazon Web Services"

Books

  1. Building an AI agent demo takes a week. Getting it to production in an enterprise takes a year. This is the battle-tested guide to surviving that year ... covering the IAM policies, networking, data architecture, and cost engineering nobody warns you about.

  2. Technical manual and report on AI agents swarms
    "Integrating Swarm Intelligence and Human Ingenuity: A Vision of Tomorrow's World"
    Chetan Ladwa

    "Explore the synergy of AI swarm technology""Integrating Swarm Intelligence and Human Ingenuity: A Vision of Tomorrow's World" Delve into a world where AI enhances human capabilities, transforming industries and society. Uncover the secrets of this groundbreaking tech and its profound impact. A future where AI collaborates with us awaits.

  3. Stop memorizing AWS services and start mastering the learning strategies that build lasting expertise. Learn the systematic approach that AWS professionals use to quickly understand any cloud service.

  4. On-Call In Action
    Site Reliability Engineering Best Practices for Building Resilient Systems
    Quan Huynh

    Stop just reacting to problems; start engineering true reliability. "On-Call In Action" equips you with hands-on SRE strategies, proven incident management lifecycles, and effective alerting techniques. Build a world-class on-call capability that keeps your services running 24/7 and your team thriving.

  5. Throughout the book, we use a car-search platform as a unifying example. From ingestingdata about car listings to enriching, it with analytics and providing real-time search results, thisplatform showcases the challenges and opportunities of modern data platforms. By followingits journey, you will gain actionable insights that can be applied to a wide range of domains.Building the software platforms is not just about technology; it’s about solving real-worldproblems with creativity within the given guardrails both financial or engineering. This bookwill be guiding you through every phase of design, implementation, and evolution. Let’s buildthe future of data platforms together.

  6. Apache Airflow
    Quick Start Guide
    Rohit Jain

    A hands-on guide to building, scheduling, and deploying data pipelines with Apache Airflow 2.x from scratch to AWS MWAA production deployment.

  7. Stop merely inhabiting the cloud and start mastering it. "Mastering AWS for Web Applications" provides a high-stakes roadmap for transforming your AWS footprint into a secure, high-performing, and sustainable engine using the Well-Architected Framework. Move beyond basic deployment to unlock the strategic remediations that slash costs and eliminate operational risk.

  8. Stop chasing the hype and start mastering the architecture of reality. From transitioning legacy government monoliths to microservices to securing cloud-native banking platforms, this guide provides a strategic "autopsy" of real-world assignments. Learn to balance the explosion of AI and ML workloads with the practical demands of sustainability, zero-trust security, and the latest Java 24 capabilities.

  9. Go Orchestrated
    Martin Rosselle

    24 chapters. 20,000+ lines of code. One rule: every example has to be something you'd actually use. Go Orchestrated takes you from idiomatic Go through every corner of the standard library to building a full Kubernetes operator — with real code at every step. No toy demos. No hand-waving. If you already know how to code and want to get serious about Go in 2026, start here. Part I is free. Grab the Community Edition and see for yourself.

  10. THE GLOBAL DATA WAR
    Artificial Intelligence, Big Tech, and the Race for Data, Chips, and Cloud
    Nilesh Shantaram Devlekar

    Artificial Intelligence has become the new global power race. Nations are competing for data, infrastructure, and algorithmic dominance that will define the future world order.

  11. The "It Works on My Machine" Excuse Ends Today. Understand Docker. Ship with Confidence. Own Production. This book is written for front-end developers who are tired of using Docker without truly understanding it. Instead of abstract theory or backend-centric explanations, it teaches Docker in a clear, practical way—aligned with how front-end engineers think and how real front-end applications are built and shipped.You’ll work with a real GitHub repository, follow real production workflows, and learn how to build, run, and deploy a React.js application using Docker—ending with a full deployment to Amazon EC2. Every step is explained with purpose, so you understand not just what to do, but why it works.By the end of the book, Docker will no longer feel like a black box. You’ll know how to create reliable builds, debug problems with confidence, and take ownership of your production environment as a front-end developer.If you want to stop guessing, stop copying commands, and finally ship front-end applications with confidence—this book is for you.

  12. No es un libro sobre productos. Tampoco es un manual técnico.Es una historia sobre cómo la infraestructura llegó hasta acá.Sobre decisiones inevitables, modelos que dejaron de escalar y plataformas que surgieron cuando la complejidad ya no podía sostenerse. Sobre virtualización, cloud, negocio y personas. Sobre aciertos, errores y aprendizajes que marcaron una era.Este primer volumen no intenta explicar VMware Cloud Foundation. Intenta explicar por qué era inevitable que existiera.Porque antes de discutir arquitectura, conviene entender el camino.

  13. You Don't Know JSON
    Beyond Six Data Types: The Complete Ecosystem
    Dayna Blackwell

    JSON succeeded not because it was better--XML had schemas, namespaces, and 10 years of tooling, but because it understood modularity in ways XML never could. This book deconstructs how a deliberately incomplete format defeated a comprehensive standard, then shows you the production patterns (JSON Schema, JSONB, MessagePack, versioning strategies) that make JSON systems scale from prototype to billions of requests.

  14. Generative AI Application Patterns with AWS
    Volume 1
    Yudho Ahmad Diponegoro

    Building generative AI application is not only about LLM choice and prompt engineering, but also about the well-architected cloud solution.

  15. Are you an experienced Java developer who wants a shortcut to the best Lambda knowledge? I've distilled my 8+ years of using Lambda and 6+ years working with some of AWS's biggest Serverless customers into a short book. If you want to improve quickly, this is the book for you.