Books

Linux is one of the best decisions you can make for your computer — but knowing where to start is the hard part. This guide walks you through everything: choosing a distribution, installing it, and using it confidently every day. It was written by Jay LaCroix of Learn Linux TV, for complete beginners. No prior experience required.

Building fast LLM inference is about far more than turning the right knobs. This book takes you inside vLLM and the systems behind it, showing how memory, scheduling, GPUs and distributed serving shape real-world performance. Learn how to measure what matters, find bottlenecks and build inference infrastructure that scales without wasting money.

Take control of your development stack from the ground up. This book shows you how to build and run your own Git hosting, CI/CD and engineering platform, from a single server to infrastructure built for thousands. Learn how the pieces fit together, why key decisions matter and where the trade-offs really are.

Master PostgreSQL administration with a practical guide to deploying, securing, optimizing, and operating production databases. Covering PostgreSQL 17 and 18, this book combines real-world examples, hands-on labs, and proven best practices for reliable, high-performance systems.

Linux System Hardening is a practical guide to securing Linux systems from the kernel to the cloud. It explains how threats work, how to apply effective controls and what you give up along the way. Built for admins, security engineers and DevSecOps teams working with real production systems.

Take control of Windows Server automation from script to production. This practical guide shows you how to build secure, scalable infrastructure with PowerShell, DSC, Terraform and CI/CD. Learn proven patterns, avoid costly mistakes and tackle real-world deployment, security, monitoring and troubleshooting challenges with working code you can put to use.

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.

Master OpenTofu from the ground up with practical examples, proven patterns and expert guidance for real-world infrastructure. Whether you are migrating from Terraform or starting fresh, this book helps you build reliable, secure and maintainable cloud and on-premises environments with confidence.

Learn how to use Zabbix for building scalable and customizable enterprise monitoring solutions through detailed recipes, guiding you to overcome issues in infrastructure performance and enhance your monitoring setup by leveraging Zabbix 7 features.

What if one physical server could run several independent Linux kernels at the same time? Multikernel Linux explores the technologies behind it, from virtualization and bare-metal partitioning to CPU, memory, devices, networking and storage. It moves from core concepts to practical production setups, with a focus on what really works and why.

The Linux command line has come a long way. This practical guide explores the modern tools that make everyday terminal work faster, cleaner and more enjoyable. Learn ripgrep, fd, bat, eza, fzf, zoxide, btop, dust and more, with real-world workflows and tips for leaving old-school Unix habits behind.

Stop treating PostgreSQL like slightly broken MySQL and start using it the way it was designed.

A practical look at how the modern Internet edge really works. Explore DNS, BGP, TLS, HTTP/3 and the architecture behind content delivery, then apply that knowledge to building, securing and optimizing Cloudflare in production. No marketing fluff, just the engineering behind the edge.

Jellyfin makes self-hosting your media library look easy, but getting it right takes more than installing a server. This practical guide covers architecture, deployment, administration and optimization, helping you build a reliable setup that works smoothly for local and remote users alike.

Take a practical journey through SGLang, from its core architecture to real-world deployment and optimization. Built for engineers who need to run LLM inference reliably at scale, this handbook breaks down the tools, techniques and operational know-how needed to build and maintain production-ready SGLang systems.