antonputra/tutorials

DevOps Exercises is a GitHub repository collecting 2624 questions and exercises spanning Linux, networking, Kubernetes, Terraform, and cloud platforms, written as plain markdown Q&A with no app or course wrapped around it.

trimstray/the-book-of-secret-knowledge is a highly-starred GitHub repository offering a curated collection of resources for system and network administrators, DevOps, pentesters, and security researchers, though it aims to be useful for everyone. It compiles inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, and CLI/web tools, organized into main chapters such as CLI Tools, GUI Tools, Systems/Services, Networks, Hacking/Penetration Testing, and Shell One-liners. The project emphasizes quality over quantity, welcoming contributions that are inviting, clear, not tiring, and useful, with an active RSS feed for updates.

GitHub Readme Stats is an unmaintained JavaScript project that served as the dominant tool for embedding dynamically generated stat cards into GitHub profile READMEs. It offered five card types — a main stats card with commits, stars, PRs and issues; extra pins that broke the six-repo limit on GitHub profiles; gist pins; a top languages card with multiple layout options; and a WakaTime integration — all rendered as SVG images via query parameters. The breadth of customization was genuinely impressive: over a dozen built-in themes, full hex color control, locale support spanning dozens of languages, gradient backgrounds, and responsive dark/light mode tricks using GitHub's theme context tags. The catch is that the public Vercel deployment hits rate limits constantly, the maintainers are a small team prioritizing community upvotes, and the README explicitly directs users to GitHub Stats Extended as the active successor. For anyone who wants this functionality today, self-hosting or switching to the fork is the move — the original is effectively archived.

act is a command-line tool that runs the workflows in a repo's .github/workflows/ folder on your own machine instead of on GitHub's servers. It calls Docker's API to fetch or assemble the images a workflow needs and runs each job in a container set up to mirror GitHub's environment variables and filesystem, per the README, so you get fast feedback on a workflow edit without committing and pushing, or can use the same workflow definitions as a local task runner instead of a Makefile.