Site Reliability Engineering

AI agents are moving from experiments into real production systems. This book shows experienced engineers how to design, deploy and operate reliable agent systems that can scale. From architecture and infrastructure to security, reliability and governance, it provides practical patterns and production-ready examples for building autonomous systems that work in the real world.

Build AI agents that actually hold up in production. This practical guide covers agent architecture, tool use, multi-agent systems, security, reliability, observability and operations, with working code throughout. Learn how to build agents that are dependable, cost-aware and ready for the real world.

Learn Argo Rollouts through hands-on Kubernetes labs. Build canary and blue-green deployments, control traffic with Istio, validate releases with Prometheus, run Experiments, automate promotion and rollback, and manage progressive delivery with Argo CD and GitOps.

Learn real DevOps by building a production-style environment on your laptop. No cloud bills or subscriptions. Just systems you control end-to-end.

AI models do not have to be huge, slow or expensive. Distilling Intelligence explores how to build smaller models that perform at scale, then secure the APIs that serve them. From compression and distributed serving to extraction attacks, observability and incident response, this book covers what it takes to run AI reliably in the real world.

A brilliant engineer with no evidence is reduced to guessing, while an ordinary engineer with good evidence looks like a genius. Everything in this book is an attempt to get you to think differently. You don't need a huge team to do this. You don't need to get anyone's approval for a budget, and you don't have to rewrite any services. What you need is a system that tells you the truth about itself, and you need it before the incident rather than during it.As a team, we'll build that system together on one small storefront, and we'll do it the way real teams build, which is to say not perfectly but in order.

Somewhere there is a server with two GPUs for which no operational process exists. This book turns that into an operable platform — hands-on, in 23 labs: vLLM, KServe, LiteLLM, the NVIDIA GPU Operator, Keycloak, OpenBao, ArgoCD, pgvector. Not a tutorial: a reference work that shows the derivations behind every setting.

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.

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.

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.

Ansible has transformed IT automation, but even the most well-designed playbooks can encounter unexpected errors, cryptic logs, or behaviors that defy expectations. "Ansible Troubleshooting: A Practical Guide" is your roadmap to navigating these challenges with ease. , this book provides the insights and techniques you need to diagnose and resolve issues efficiently.

Build a hands-on cloud competition from the participant experience upward. Create a local Docker Challenge, an AWS Challenge, and a continuously scored AWS Battle, then deploy them to multiple teams with the open-source TenkaCloud platform.

Your CI/CD Pipeline Could Be Costing You More Than Time.AWS CodeBuild, Google Cloud Build, GitLab CI/CD, GitHub Actions, or Azure Pipelines—which one fits your team like a glove?In The CI/CD Pipeline Guide: Choosing Your Build Tool, we cut through the noise. No jargon. No bias. Just a clear, metaphor-driven breakdown of the top 5 CI/CD tools

"Tired of manual server setups that feel like reinventing the wheel every time?What if you could write down your server settings once—like a recipe—and let the computer do the rest? No more ‘oops, I forgot that checkbox.’ No more ‘Why is Server 7 acting weird?’Config as Code is the DevOps secret to consistency, speed, and sanity. And this book is your backstage pass."