Books

An advanced technical reference to Qiskit architecture, IBM Quantum hardware, pulse-level control, error mitigation, quantum algorithms, and scalable quantum-classical computing.Quantum computing is moving beyond the construction of theoretical circuits toward the practical challenge of executing workloads on noisy, hardware-constrained quantum processors. This transition requires a detailed understanding of quantum algorithms, compiler architecture, device topology, calibration, error mitigation, and the classical infrastructure that supports quantum execution. Advanced IBM Quantum Computing and Qiskit Architecture is an 80-chapter technical reference exploring the engineering principles behind modern Qiskit development and IBM Quantum systems. It connects quantum programming abstractions with hardware-aware compilation, runtime execution, performance analysis, and the challenges of building reproducible quantum-classical workflows.

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.

Build Linux systems that do more than boot. This hands-on guide takes you from bootloader and kernel to secure updates, reproducible images, manufacturing and fleet operations. With runnable code and production-tested techniques, you’ll learn how to build Linux appliances designed for the real world.

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.

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.

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.

Legacy modernization is an evidence problem before it is a code-generation problem. Use Claude Code to recover hidden behavior, build a verification harness, and move critical systems in controlled, reversible slices without handing production decisions to AI. Includes 26 practical chapters, 86 diagrams, and a runnable companion lab.