Books

Go beyond C++ syntax and learn to use the STL with confidence. Explore containers, algorithms, iterators, ranges and more through practical examples, performance insights and real-world patterns. Build a deeper understanding of how the STL works, when to use each tool and how to write cleaner, faster and more maintainable C++.

Stop letting Windows decide how you work. This guide takes you from everyday tasks to the tools and techniques professionals rely on, covering PowerShell, WSL2, security, automation and AI. Packed with practical examples, it helps you unlock the full potential of Windows 11 with confidence.

Discover how eBPF is changing Linux systems engineering. Starting with the fundamentals, this book walks you through building, debugging and deploying real eBPF programs for observability, networking, security and performance. Learn practical techniques you can use with confidence in production across modern Linux environments.

Distributed systems can feel overwhelming until you build one yourself. This book takes you from core networking and concurrency concepts to a complete production-ready platform in Go. Every chapter adds real working code so you learn not just the theory but how reliable systems are built and run at scale.

Build offensive security tools that go beyond simple scripts. BlackHat Ruby shows how to create scanners, fuzzers, protocol analyzers and exploit frameworks with clean, practical Ruby code. Along the way you'll see how these techniques work, where the legal boundaries are and how defenders spot and stop them.

Build serious AI systems on NVIDIA DGX Spark with a practical guide that goes far beyond setup. Learn to deploy LLMs, create RAG pipelines, orchestrate AI agents, and optimize performance for real production workloads. Whether you are experimenting or scaling enterprise AI, this book shows you how to get there.

Designing AI is only half the journey. Learn how to deploy, secure, govern, monitor, and scale Enterprise AI systems for production with practical architectures and proven operational strategies.

Enterprise AI is more than LLMs and chatbots. Learn how to design secure, scalable, and production-ready AI systems using a vendor-neutral architecture that connects data, models, agents, APIs, governance, and enterprise integration into one modern AI stack.

The Linux Virtual Filesystem is the abstraction that unifies every filesystem in Linux behind a single interface. This book explores its architecture, kernel implementation, and modern applications, giving system administrators, developers, and kernel engineers the knowledge to understand, troubleshoot, and extend the VFS.

Artificial intelligence is reshaping financial markets. Intelligent Markets shows you how to build production-ready AI trading systems from first principles, combining market fundamentals, practical architecture, and fully runnable code to create autonomous agents that can research, execute, and manage trades in live markets.

macOS powers millions of devices, but few developers ever explore what lies beneath its polished interface. Inside macOS explains how the XNU kernel, Mach, BSD, Apple Silicon, APFS, and modern security technologies work together, giving systems programmers, security researchers, and engineers a deep understanding of Apple's operating system.

Make ChatGPT, Perplexity, Claude and Google AI cite the sites you build. A code-first AEO/GEO guide for developers and agencies — with a production-tested Next.js boilerplate.

Build a cloud-native distributed system in Go with authentication, databases, Kafka, gRPC, circuit breakers, and distributed tracing. Each chapter teaches a pattern and extracts it into a reusable platform SDK. By the final chapter, you'll have six deployable services, a complete platform SDK, and the patterns to build the next one faster.

If You’re Designing Edge Systems the Way Blog Posts Describe Them…You’re Already Behind.Most edge computing material sounds impressive—until you try to deploy it at scale.Then the failures show up: Latency explodes. State breaks. Control planes collapse. Security assumptions fail. Operations become unmanageable.That’s because edge computing is not a product category. It’s a large-scale distributed systems problem—with harsher constraints than the cloud.This book is written for people who actually have to make those systems work.

China is transitioning from industrial robotics dominance to national-scale humanoid robot deployment. This 2026 edition delivers a systems-level, engineering-driven analysis of how that transition is unfolding—across hardware design, AI control architectures, manufacturing supply chains, policy frameworks, and real-world deployment.