Books

Three women. One orphanage. A story stitched from silence and rewritten by love.For readers of Kristin Hannah, Colleen Hoover, and Taylor Jenkins Reid, this is a story that lingers — long after the last page.

🕰️ A love story hidden in the folds of time. 🔁 A system rewritten by choice, not control. 🕰️ Romantic. Mysterious. Mind-bending. For fans of The Time Traveler's Wife, Recursion, and The Invisible Life of Addie LaRue — this is a haunting, high-concept love story that asks: Can you rewrite the system without losing who you are?

Sacrifice is more than giving something away—it is an expression of faith, obedience, surrender, and commitment.The Power of Sacrifice takes you on a biblical journey into the principles behind sacrifice and its significance in the life of a believer. Discover what makes a sacrifice meaningful, the connection between sacrifice and obedience, and the spiritual lessons that can transform the way you give, serve, and walk with God.Understand sacrifice. Deepen your faith. Discover the principles that move the hand of God.

A clear, non‑technical guide that teaches families, seniors, and beginners how to secure their devices, protect their home Wi‑Fi, strengthen passwords, and safely back up important data.

Embarque em uma busca eletrizante por uma ilha perdida. Junte-se a Capitão Salty e Finn nesta jornada inesquecível rumo ao desconhecido

Embarque em uma busca eletrizante por uma ilha perdida. Junte-se a Capitão Salty e Finn nesta jornada inesquecível rumo ao desconhecido

Prompt engineering got you a demo; context engineering ships it. This hands-on book teaches you to decide what goes into the model's context window — retrieval, memory, assembly, compression, caching — by building ctxkit, a real Python context engine, one chapter at a time.

What does it take to build distributed systems that keep working when things go wrong? Engineering Distributed Systems on the BEAM goes beyond syntax to show how Erlang/OTP turns concurrency, failure and recovery into practical design tools. Build a real system from the ground up, then learn how to scale, deploy and operate it with confidence.

Build terminal apps that feel fast, polished and built to last. Terminal Interfaces takes you from the fundamentals of how terminals work to production-ready TUIs in Go, Python and Rust, using complete examples that grow from simple programs into powerful real-world tools.

Build the Next Generation of Enterprise AI SystemsCloud-Powered Agentic AI is a practical guide to designing, developing, deploying, and operating production-ready AI applications using Large Language Models (LLMs) and modern cloud-native technologies.From prompt engineering and Retrieval-Augmented Generation (RAG) to AI agents, multi-agent systems, Model Context Protocol (MCP), FastAPI, Docker, Kubernetes, and LLMOps, this book provides a complete roadmap for building scalable, secure, and maintainable AI solutions.Through hands-on examples, architecture diagrams, case studies, and a comprehensive capstone project, you will learn how to move beyond prototypes and engineer enterprise-grade AI systems.Inside this book, you'll learn how to:Build LLM-powered applications from scratchDesign Retrieval-Augmented Generation (RAG) pipelinesDevelop AI agents and multi-agent workflowsIntegrate tools using the Model Context Protocol (MCP)Deploy AI services with FastAPI, Docker, and KubernetesApply LLMOps for monitoring, evaluation, and continuous deliverySecure and govern AI applications in enterprise environmentsBuild a complete cloud-native AI platform from development to productionWhether you are an AI engineer, software developer, cloud architect, or machine learning practitioner, this book will equip you with the practical skills needed to build reliable and scalable AI systems in the era of generative AI.

Go beyond Go syntax and learn how real systems are built. Modern Go Systems Programming with Go 1.27 takes you from core language concepts to concurrency, networking, databases, observability and deployment, with runnable examples that show how everything fits together in production-grade distributed systems.

Master Kubernetes health checks from the basics to production-grade reliability. Learn how probes really work, troubleshoot failures fast and build applications that recover automatically. With practical YAML, real-world scenarios and proven reliability patterns, this guide helps you keep Kubernetes workloads healthy when it matters most.

This book is all about testing and closing the gap between infrastructure health and output quality, and how easily that gap can be filled for weeks by a failure that's gone unnoticed.This book looks at the less obvious side of the problem. In the next few chapters, we're going to run 41 experiments on one application. About half of them will give you a result that the system doesn't report. It's not a dig at anyone's engineering, since the systems in question are competently built and mostly behave well.

In a house that holds more memory than its walls were built for, ten immigrants watch their brightest dreams fade from neon to rust—and learn that what survives is more enduring than what was lost. A lyrical chronicle of adaptation, resilience, and the quiet courage required to stay.

Running LLMs locally is easy. Running them well is an engineering problem. Practical LLM Inference gets into the details that matter, from quantization and GGUF internals to GPU offloading, benchmarking and production deployment. Learn how to size hardware, find bottlenecks and build fast, reliable inference systems without the AI hand-waving.