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  1. Mastering AIOps: Operationalizing Generative AI and Intelligent IT Infrastructure

    Most AIOps material is written by people selling AIOps. This one separates what works in production today from what is still a roadmap promise — and says which is which, chapter by chapter.

  2. Harbor in Practice
    Harbor in Practice
    A Hands-On Lab Guide to Running a Private Container Registry on Virtual Machines and Kubernetes
    Thomas Zachmann

    Twenty-four chapters, twenty-three labs on your own laptop, and several that break Harbor on purpose. Install it on a VM and on Kubernetes, gate deployments on scans and signatures, back it up in an order you can defend — and become the person responsible for the registry, not just the one who installed it.

  3. The AI Diagnostic Manual
    The AI Diagnostic Manual
    Symptom-Based Troubleshooting for LLM Applications
    Cynked Press

    It is three in the morning and something is wrong with your LLM application. This is the book you open. Not a tutorial — a reference manual, organised by symptom, for the moment something you built has already broken.

  4. Argo Rollouts: Progressive Delivery for GitOps Practitioners
    Argo Rollouts: Progressive Delivery for GitOps Practitioners
    A Hands-On Guide to Kubernetes Canary and Blue-Green Deployments with Argo CD, Istio, and Prometheus
    Kirshi Yin | Curious Devs Corner

    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.

  5. Linux System Hardening
    Linux System Hardening
    A Practical Guide to Securing Linux from Kernel to Cloud
    Steve Publications

    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.

  6. Tokens per Dollar
    Tokens per Dollar
    A Kubernetes Field Guide to Affordable LLM Inference
    Nix

    Most self-hosted LLM deployments run at 10–30% utilization — full retail price for GPUs that mostly sit idle. Tokens per Dollar is a deliberately short field guide for platform engineers: tune vLLM (2–4x throughput on the same hardware), quantize to halve your GPU count, cache the prompt tokens you keep re-paying for, and autoscale on real token traffic instead of CPU. Working YAML throughout, and a case study that cuts a 70B deployment from $29,200 to $8,600 a month with better latency. Read it in an evening; it pays for itself the first day you apply it.

  7. PNA and PSC in Google Cloud
    PNA and PSC in Google Cloud
    A Guide to Private Connectivity
    Sudhanshu Jaiswal

    "In the city of Cloudville, every connection has a cost—but not every cost is necessary.What if the ‘enterprise-grade’ solution you’re using is actually overkill? What if you could slash costs by 100%, cut latency by 57%, and simplify your architecture by 65%—just by choosing the right private connectivity method in Google Cloud?The Tale of Two Neighborhoods uncovers the hidden trade-offs between Private Service Connect (PSC) and Private Network Access (PNA)—and why most teams are paying for a ‘gated courier service’ when they only need a ‘shared hallway’.

  8. Windows Server Automation for DevOps
    Windows Server Automation for DevOps
    Building Secure, Scalable, Production-Grade Infrastructure with PowerShell, DSC, Terraform, and CI/CD
    Steve Publications

    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.

  9. Deployment, Monitoring and Reliability
    Deployment, Monitoring and Reliability
    What a system looks like as it fails — not after
    Hatem M.

    A model that works in development and fails in production usually fails for reasons that havenothing to do with the model. It waits behind other requests. It loads slowly after a restart.It answers differently because somebody moved a decoding parameter by a tenth of a point. Aguardrail blocks a third of legitimate traffic and reports itself as working. None of those appear in a benchmark. They appear in an incident — and almost every one of themis invisible in an instantaneous measurement and obvious in a trend.

  10. Self-Hosted Development Infrastructure
    Self-Hosted Development Infrastructure
    Building Your Own Git Hosting, CI/CD, and Software Engineering Platform from the Ground Up
    Steve Publications

    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.

  11. Die Ungeschönte Architektur
    Die Ungeschönte Architektur
    29 technische Leitplanken für das Entwickeln, Auditieren und Bewerten von Software im KI-Zeitalter
    Marcus Niermann

    Ein Playbook gegen die agentische Drift — 29 Leitplanken, um KI-generierten Code prüfbar, ehrlich und auditierbar zu halten, destilliert aus über 27 Jahren Projekt- und Programmleitung in regulierten Branchen.

  12. GitHub Actions for Python Projects A Practical Guide to CI/CD Automation
    GitHub Actions for Python Projects A Practical Guide to CI/CD Automation
    Automating Testing, Building & Deployment
    AhmedAdawy

    Master automated workflows for your Python code with GitHub Actions for Python Projects. This practical guide covers automated testing, dependency management, coverage reports, documentation builds, and artifact generation to help you build reliable CI/CD pipelines effortlessly.

  13. Practical Nix for DevOps & Platform Engineering
    Practical Nix for DevOps & Platform Engineering
    From Zero to Production - Reproducible Systems at Scale
    Steve Publications

    Master Nix without the usual frustration. This practical guide takes you from your first reproducible development environment to production ready infrastructure with clear explanations and real examples. Learn the patterns that help DevOps and platform teams build reliable systems that scale with confidence.

  14. Backpressure in Microservices
    Backpressure in Microservices
    Bounded Queues, Worker Pools, Cancellation, Drop Policies, and Overload Control in Go
    Luca Sepe

    Stop overload from becoming unbounded queues, goroutines, and downstream calls. Build bounded backpressure that fails predictably.

  15. Modern DevOps for Cloud and AI Platforms
    Modern DevOps for Cloud and AI Platforms
    Architecting, Operating, and Scaling Reliable Software Systems in the Age of AI
    Steve Publications

    Cloud, Kubernetes, AI, security and automation have changed what DevOps really means. This book cuts through the hype with practical guidance for building reliable, scalable platforms using proven patterns, real production lessons and modern engineering practices that help teams move faster without sacrificing stability.