# 0voice/k8s_awesome_document

【2021年新鲜出炉】K8s（Kubernetes）的工程师资料合辑，书籍推荐，面试题，精选文章，开源项目，PPT，视频，大厂资料

Repository: https://github.com/0voice/k8s_awesome_document
Canonical: https://ross.abutalabs.com/products/k8s_awesome_document
License Family: other
Topics: kubernetes, go, k8s, golang, docker
Last push: 2024-05-20T12:16:19+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1773, "days_push": 835, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1615, forks 460 (observed 2026-08-28T04:05:11.468581+00:00)

## What it is
A curated Chinese-language collection of Kubernetes learning resources, including book recommendations, interview questions, articles, videos, slides, and open-source projects. It is a documentation/awesome-list repository rather than runnable software.

## Use cases
- learning kubernetes from scratch
- preparing for kubernetes interview questions
- finding recommended kubernetes books and videos
- discovering kubernetes open-source projects
- learning docker and cloud-native concepts
- finding kubernetes command cheat sheets

## When to choose
- you want a curated starting point for learning Kubernetes
- you are preparing for DevOps or SRE interviews covering K8s
- you prefer Chinese-language learning materials

## When to avoid
- you need runnable tooling or code for managing clusters
- you need up-to-date official documentation
- you only read English-language resources

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, developer-tools
- domain: cloud-computing, tutorials, awesome-lists
- platform: -
- tags: kubernetes, k8s, docker, interview-questions, curated-list, cloud-native, chinese-language, devops, containers, linux

## Member repositories
- 0voice/k8s_awesome_document (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:11.468581+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:50:05.091572+00:00, confidence not recorded.
  - readme: https://github.com/0voice/k8s_awesome_document (fetched 2026-08-28T04:05:11.468581+00:00, sha 9de6776bad0a)
- Data as of 2026-08-30T08:39:29.467469+00:00.