MCP can transform the way you work with Claude Code. This practical guide takes you from the basics to production, showing you how to connect tools, build integrations, automate workflows and ship reliable, secure solutions you can use right away.
Build real-world systems software with Tcl/Tk, from your first installation to production-ready deployment. Learn to create command-line tools, desktop apps, network services and automation frameworks that run across Windows, macOS and Linux. Practical code and clear explanations take you from foundation to confident deployment.
Scraping is getting harder to control as bots become more sophisticated. This practical guide shows security engineers, SREs and platform architects how to build anti-scraping defenses that work at scale, from traffic analysis and behavioral detection to rate limiting, challenges, observability and continuous adaptation.
Master physical IBM Quantum hardware constraints, pulse-level programming, and advanced error mitigation protocols across 80 expert-level chapters.
Build AI that keeps working when the cloud doesn't. Local-First AI Engineering shows you how to run capable, private AI systems on infrastructure you control. From hardware and inference to RAG, agents, security and production ops, you'll learn how to build local AI that is fast, reliable and truly yours.
Build AI systems that do more than demo well. This hands-on guide shows you how to engineer autonomous software on Linux that is secure, observable, reliable and ready for production. From agents and memory to threat modeling, OpenTelemetry and Kubernetes, you’ll build a real system while learning what it takes to run AI you can actually trust.
Running NetBSD in production is one thing. Running it under serious traffic is another. NetBSD at Scale shows how to design, secure, tune and operate infrastructure built for real workloads. From architecture and automation to high availability and disaster recovery, it is a practical guide for engineers who need systems that keep working.
Master Terraform from your first configuration to production infrastructure at scale. Learn through practical examples, real cloud scenarios and proven patterns for building secure, reliable infrastructure. Go beyond the syntax to understand the decisions, trade-offs and workflows that help teams use Terraform with confidence.
Take OpenTelemetry from theory to production. This practical guide shows you how to design, deploy and operate observability at scale, with real configurations, proven architecture patterns and hands-on guidance for performance, security, troubleshooting and cost. Built for engineers who need telemetry that works when it matters.
The first thing many people hit with an AI coding assistant is a plateau. A correction made on Monday is gone by Thursday. This book is about the operating model above the prompt, where truth lives, how a correction becomes a standing rule that holds, and which judgments stay in human hands.
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.
Cloud networks rarely fail in obvious ways. A DNS lookup breaks, a route disappears or traffic vanishes somewhere between clouds. This book shows you how to understand what is really happening, build networks that hold up under pressure and troubleshoot failures with confidence across AWS, Azure, Google Cloud, Kubernetes and hybrid environments.
What really happens when you open a website, send a message or connect to a server across the world? This book builds the Internet from first principles, revealing how bits become packets, packets cross networks and protocols make it all work. Learn the machinery behind the Internet by understanding why each piece exists and how it fits together.
Building fast LLM systems takes more than a powerful GPU. This book shows you what actually happens between prompt and response, where latency hides and how to fix it. Work from kernels and inference engines to distributed clusters, benchmarking and production reliability, with practical guidance for building systems that stay fast under real-world load.