# kelseyhightower/kubernetes-the-hard-way > A step-by-step tutorial for manually bootstrapping Kubernetes without scripts or automation, to understand the cluster and its components. Aimed at engineers who want to learn Kubernetes fundamentals from the inside. - Magnitude: 5.4 out of 10 — Breakout - Stars: 50,034 total · +46 stars today, ≈ 83 by evening - Star trust: star growth looks organic - Category: Learning & lists · License: Apache-2.0 · Created: 2016-07-07 · Last push: 2025-04-10 - GitHub: https://github.com/kelseyhightower/kubernetes-the-hard-way · Page: https://gitnova.dev/en/r/kelseyhightower/kubernetes-the-hard-way ## Useful for - Bootstrap a learning Kubernetes cluster manually on multiple VMs to understand its architecture - Study etcd, control plane, and worker node setup without ready-made scripts - Verify cluster operation after manual installation via smoke test ## Why it’s here - 46 stars so far today, about 83 expected by the end of the day. The usual pace is 12 per day, so that's 7.2× as much. - Over the last two days the pace is 9.1× that of the previous week and a half. - The spike has held for 3 days in a row — not a one-off blip. - GitHub Trending today: #10, +105 stars. - About 22 forks a day — people are taking the code. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 15,910 - Issues and pull requests: 931 - Watchers: 950 - Average over the last week: 45 per day - Usual pace: 12 per day - Stars in the last hour (measured): 6 ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-08-27 … 2026-09-25: 10, 10, 13, 11, 17, 14, 12, 9, 9, 7, 16, 12, 6, 6, 17, 10, 13, 13, 9, 8, 13, 17, 7, 13, 22, 5, 11, 45, 133, 46 ## Spotted in now - GitHub Trending today: #10, +105 stars ## Similar by description 1. **navaneethkrishnansuresh/Inference-Engineering** — 0.4 · Steady · Language models · Jupyter Notebook · +1 star today, ≈ 2 by evening A hands-on course on LLM inference engineering covering what happens when a model serves a request: tokenization, prefill, decode, KV cache, scheduling and batching. Aimed at developers who want to understand the runtime side of model… Full card: https://gitnova.dev/en/r/navaneethkrishnansuresh/Inference-Engineering.md 2. **amitshekhariitbhu/ai-engineer-roadmap** — 1.2 · Cooling · Learning & lists · Markdown · +5 stars today, ≈ 8 by evening A step-by-step AI Engineering roadmap covering ML foundations, transformers, RAG, agents, and deployment, with a blog for every topic. For anyone aiming to become an AI/LLM/Agent engineer from scratch. Full card: https://gitnova.dev/en/r/amitshekhariitbhu/ai-engineer-roadmap.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-25 14:45 UTC, updated every 30 minutes.