# bregman-arie/devops-exercises

> A collection of over 2600 questions and exercises on DevOps, SRE and related topics: Linux, networking, Kubernetes, cloud, CI/CD, databases and more. Intended for interview preparation and knowledge checks.

- Magnitude: 3.0 out of 10 — Breakout
- Stars: 84,652 total · +14 stars today, ≈ 34 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: Python · Created: 2019-10-03 · Last push: 2025-12-27
- GitHub: https://github.com/bregman-arie/devops-exercises · Page: https://gitnova.dev/en/r/bregman-arie/devops-exercises

## Useful for

- Prepare for a DevOps engineer interview
- Test knowledge of networking, Linux or Kubernetes
- Use questions to conduct a technical interview

## Why it’s here

- 14 stars so far today, about 34 expected by the end of the day. The usual pace is 17 per day, so that's 2× as much.
- Over the last two days the pace is 2.7× that of the previous week and a half.
- GitHub Trending Python today: #11, +64 stars.
- About 16 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: 20,342
- Issues and pull requests: 556
- Watchers: 1,328
- Average over the last week: 24 per day
- Usual pace: 17 per day
- Stars in the last hour (measured): 3

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-08-28 … 2026-09-26: 11, 10, 17, 15, 18, 9, 11, 12, 14, 12, 13, 10, 11, 15, 11, 10, 15, 27, 34, 13, 17, 15, 9, 18, 13, 11, 17, 14, 58, 14

## Spotted in now

- GitHub Trending Python today: #11, +64 stars

## More in this category

1. **amitshekhariitbhu/ai-system-design** — 5.9 · Early signal · Learning & lists · Markdown · +75 stars today, ≈ 158 by evening
   A study guide to designing AI systems built on LLMs, RAG, and agents: from inference and GPUs to MCP, multi-agent systems, and interview preparation.
   Full card: https://gitnova.dev/en/r/amitshekhariitbhu/ai-system-design.md
2. **kelseyhightower/kubernetes-the-hard-way** — 5.5 · Breakout · Learning & lists · +26 stars today, ≈ 79 by evening
   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.
   Full card: https://gitnova.dev/en/r/kelseyhightower/kubernetes-the-hard-way.md
3. **rohitg00/ai-engineering-from-scratch** — 5.4 · Breakout · Learning & lists · Python · +175 stars today, ≈ 471 by evening
   Open-source AI engineering curriculum: 523 lessons across 20 phases (~342 hours) in Python, TypeScript, Rust and Julia, where every lesson ships a reusable artifact such as a prompt, skill, agent or MCP server.
   Full card: https://gitnova.dev/en/r/rohitg00/ai-engineering-from-scratch.md
4. **cdyforever/how-to-live-better** — 5.1 · Early signal · Learning & lists · HTML · +76 stars today, ≈ 144 by evening
   A single-file HTML reading page for the open book "High Cost-Performance Life Guide" — 528 tips across 32 sections, searchable, offline-capable, zero dependencies.
   Full card: https://gitnova.dev/en/r/cdyforever/how-to-live-better.md
5. **public-apis/public-apis** — 3.9 · Steady · Learning & lists · Python · +85 stars today, ≈ 214 by evening
   A community-curated list of free public APIs across dozens of categories, from animals and anime to finance, geocoding and weather. Aimed at developers looking for a ready-made API for a prototype or product.
   Full card: https://gitnova.dev/en/r/public-apis/public-apis.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 2026-09-26 12:21 UTC, updated every 30 minutes.