DevOps

Den här boken lär oss Podman genom att faktiskt använda det, laboration för laboration, från vårt allra första podman run till en komplett, rootless produktionsmiljö som startar sig själv efter en omstart. Vi bygger egna images, kopplar ihop containrar över nätverk vi själva skapar, sätter upp persistent lagring för riktiga databaser och lär oss felsöka system som faktiskt gått sönder, med flit.

Learn to write nginx modules in Rust by building a statistics module that counts requests across workers in shared memory and exposes them as Prometheus metrics.

사내 LLM 게이트웨이를 설계하고 운영하는 실무서입니다. 키리스 인증과 6단계 RBAC, 토큰 쿼터·예산과 비용 통제, 엔터프라이즈 규모 MCP, 운영 런북까지 다룹니다. 영문판 The AI Gateway Playbook의 한국어판(PDF 75쪽)입니다.

A practitioner's playbook for building an in-house LLM gateway: keyless auth, six-tier RBAC, quotas and budgets, per-token cost control, MCP at enterprise scale, and the operations to run it all. About 32,000 words with diagrams, configs, and checklists.

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.

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.

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.

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.

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.

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.

"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’.

You can read about Vault in an afternoon. You will still not be able to run it. Twenty-four chapters, each ending in a working lab on your own laptop — and five that ask you to break your setup on purpose, because nobody who has recovered a sealed cluster under pressure learned it from a reference manual.

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.

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.

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.