Books

Build high-volume systems. Thrive through sociotechnical challenges. Survive gruesome production incidents.

This study guide is designed to help IT professionals prepare for the Terraform Professional certification exam by covering all exam objectives in detail. It provides practical examples, tips, and best practices to master Terraform, a key tool for infrastructure as code, and validate your expertise in the competitive tech industry. Whether you're new to Terraform or an experienced user, this guide aims to enhance your skills and advance your career.

How to build a Data Engineering and Business Intelligence Stack using Node.js and Npm modules.

No matter how good you are at what you do today, tomorrow will likely demand a whole new set of skills. How do you plan to learn them?

In the rapidly evolving technology landscape, the ability to deploy scalable, secure, and efficient applications is paramount for businesses striving to maintain a competitive edge. Multi-tier architectures, also known as multi-layer architectures, provide a structured approach to application development that enhances these qualities. This book provides a high-level introduction to the architecture principles and services essential for building multi-tier applications on AWS.

The AWS documentation tells you how every parameter works. It does not tell you which ones matter, what breaks first, or how you will know before your users do. That knowledge is only earned by running these systems at scale. AWS in Production is twenty years of that — Lambda, API Gateway, IAM, DynamoDB, Step Functions, ECS Fargate, KMS, and CloudWatch, in the depth that production systems actually demand. Written by an engineer who has scaled payment infrastructure to 10 million daily transactions and learned every hard lesson that comes after the deployment.

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.

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

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.

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.

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.

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.

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.

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.

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.