About this preview

This site is a first-iteration preview of the RackN TechOps Handbook as a docs-style book. It is for internal review and is not published.

What is here

• All 18 chapters, converted from the current Word drafts with light cleanup only. The editorial change log lists every change.
• A PDF of each chapter, built when the site builds, with a cover, running header, and page numbers.
• An interactive walkthrough of BMC-to-ready onboarding in Digital Rebar, embedded in the out-of-band management chapter. Its sources are listed in Walkthrough sources.
• Full-text search, a sidebar for the whole book, an on-page table of contents, and previous and next links on every chapter.

Book order

The drafts were written as a numbered series that started with APIs. This preview leads with the bare metal chapters instead, because they are the closest to publishable and the closest to what RackN sells.

Part	Chapters	Why it sits here
Start Here	Introduction to the Series	Frames the series and its audience
1. Bare Metal Foundations	Out-of-Band Management, Practical Hardware Checks, UEFI Secure Boot	Day 0 work on physical servers, with the most field detail in the set
2. Automation Interfaces	Command Line Interfaces, API Design, API Consumption, Asynchronous APIs	How automation talks to infrastructure, from the CLI to event-driven APIs
3. Packaging and Running Ops Software	Containerization, Container Management, systemd, Governance and SBOM	How ops tooling is packaged, supervised, and governed
4. Production Operations	Logs, Metrics, and Traces, SSH Security and Access, High Availability	Day 2 work once systems are running
5. Strategy, AI, and Team Culture	AI and Data Sovereignty, AI and Digital Twins, The Two-But Rule	Wider topics that sit outside the technical spine

How the site is built

The site uses Astro with the Starlight docs theme, the same framework family as the new RackN site. Starlight provides the sidebar, on-page table of contents, Pagefind search, previous and next links, Expressive Code highlighting, and a responsive layout out of the box. A Python script converts the Word files to Markdown and logs each change. After the Astro build, a second script prints each chapter to PDF with headless Chrome.

Known gaps

• The chapter text still reads as generated textbook copy, and most RackN-specific material from the first drafts is missing from the second drafts.
• No chapter covers AI Factory, Sovereign AI, Bare Metal AI, or Neocloud operations.
• Several chapters contain case studies and statistics with no source, and a few factual errors. EVALUATION.md lists them by chapter.
• Most chapters end their sections with “plug these search terms into ChatGPT” boxes, which send readers away from RackN.