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kubernetes skillA

kubernetes is agent-read markdown (skill) from yuecao365/offercome: Kubernetes 怎么面：调度与工作负载、网络、存储、可观测排查、多集群治理。JD 点名 K8s 时读。.

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What the file says

## 面试官在意什么

Kubernetes 相关岗位分两类：一类是"用 K8s 的人"（SRE、运维开发、平台运维），日常是维护集群、排查 Pod 与网络问题、治理资源与成本、做集群升级；另一类是"造 K8s 平台的人"（容器平台研发、Operator 开发），日常是写控制器、扩展调度器、封装 PaaS。两类面试都会先考核心对象与控制循环的理解，再往各自方向深挖：前者追故障排查与集群治理，后者追 API 扩展、Informer 机制与控制器的幂等性。面试官最在意三件事：一是能否说清"声明式 + 控制循环"这个心智模型并用它解释各种现象，二是遇到 Pod 起不来、网络不通、节点异常时有没有一套分层的排查路径而不是逐个猜，三是有没有生产规模的经验——节点数、Pod 数、升级次数、踩过的坑。

校招侧重原理：Pod 生命周期、调度流程、Service 的实现方式、容器的隔离机制，动手能力看能否写清一个 Deployment 并解释每个字段；社招侧重生产治理：资源配额与 QoS、探针与优雅退出、CNI/存储选型、集群升级、多集群与成本、Operator 设计。近两年一线厂的 K8s 面试越来越多地给"describe 输出与事件"让候选人现场判断，纯背 kubectl 命令的题减少。

怎么问才像这个方向的面试官：
- 先问清角色是"用 K8s"还是"造 K8s 平台"，前者追排查与治理，后者追控制器与 API 扩展，不要拿 Operator 内部机制去为难运维岗、也不要拿 kubectl 技巧去考平台研发。
- 从 describe 输出、事件或一段现象切入，要求给分层排查路径与验证命令，只会说"看日志"的要追具体看哪一个组件的什么日志。
- 每个治理方案必追副作用：调 limit、加探针、上网格、开超卖都有代价，说不出代价的当作没做过。
- 不考版本时效（某版本新增字段）与某发行版专属特性，考的是控制循环心智、网络与调度原理、生产规模的踩坑经验。
- 2026 年 K8s 面试多了 AI 负载一轴：GPU 设备插件与拓扑感知调度、gang 调度、动态资源分配、GPU 利用率当 SLO；可观测默认以 OpenTelemetry 采集。候选人没跑过 GPU 负载不扣分，但被问到要能用同一套调度与资源模型推演。

## 项目 / 实习怎么深挖

简历上出现下面这类经历时从哪里切、追什么。追到候选人能说出机制、数字的来源与一次真实的故障或取舍才算实；只有框架名与结论、说不出自己那一段的，记为危险信号。通用的追问方法见 project-deep-dive。

- 简历出现"维护 K8s 集群" → 追集群数、节点数、Pod 数、版本、升级过几次、最严重的一次集群级故障
…

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How to install

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A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
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Source

GitHub

yuecao365/offercome · 23 stars · license MIT · pushed 2026-09-23 · branch main

API

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