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1. 前言
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2. 概念原理
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2.1 设计理念
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2.2 Objects
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2.2.1 Pod
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2.2.1.1 Pod解析
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2.2.1.2 Init容器
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2.2.1.3 Pod安全策略
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2.2.1.4 Pod的生命周期
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2.2.2 Node
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2.2.3 Namespace
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2.2.4 Service
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2.2.5 Volume和Persistent Volume
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2.2.6 Deployment
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2.2.7 Secret
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2.2.8 StatefulSet
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2.2.9 DaemonSet
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2.2.10 ServiceAccount
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2.2.11 ReplicationController和ReplicaSet
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2.2.12 Job
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2.2.13 CronJob
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2.2.14 Ingress
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2.2.15 ConfigMap
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2.2.16 Horizontal Pod Autoscaling
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2.2.17 Label
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2.2.18 垃圾收集
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2.2.19 NetworkPolicy
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3. 用户指南
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3.1 资源对象配置
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3.1.1 配置Pod的liveness和readiness探针
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3.1.2 配置Pod的Service Account
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3.1.3 Secret配置
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3.2.3 管理namespace中的资源配额
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3.2 命令使用
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3.2.1 使用kubectl
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3.2.2 docker用户过度到kubectl命令行指南
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3.3 集群安全性管理
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3.3.1 管理集群中的TLS
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3.3.2 kubelet的认证授权
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3.3.3 TLS bootstrap
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3.3.4 kubectl的用户认证授权
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3.3.5 RBAC——基于角色的访问控制
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3.3.6 IP伪装代理
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3.4 访问 Kubernetes 集群
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3.4.1 访问集群
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3.4.2 使用 kubeconfig 文件配置跨集群认证
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3.4.3 通过端口转发访问集群中的应用程序
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3.4.4 使用 service 访问群集中的应用程序
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3.5 在kubernetes中开发部署应用
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3.5.1 适用于kubernetes的应用开发部署流程
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3.5.2 迁移传统应用到kubernetes中——以Hadoop YARN为例
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4. 最佳实践
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4.1 在CentOS上部署kubernetes1.6集群
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4.1.1 创建TLS证书和秘钥
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4.1.2 创建kubeconfig文件
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4.1.3 创建高可用etcd集群
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4.1.4 安装kubectl命令行工具
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4.1.5 部署master节点
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4.1.6 部署node节点
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4.1.7 安装kubedns插件
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4.1.8 安装dashboard插件
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4.1.9 安装heapster插件
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4.1.10 安装EFK插件
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4.2 服务发现与负载均衡
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4.2.1 安装Traefik ingress
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4.2.2 分布式负载测试
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4.2.3 网络和集群性能测试
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4.2.4 边缘节点配置
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4.3 运维管理
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4.3.1 服务滚动升级
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4.3.2 应用日志收集
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4.3.3 配置最佳实践
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4.3.4 集群及应用监控
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4.3.5 使用Jenkins进行持续构建与发布
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4.3.6 数据持久化问题
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4.3.7 管理容器的计算资源
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5.2.2 运行支持kubernetes原生调度的Spark程序
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< p > Linkerd是 一 个 用 于 云 原 生 应 用 的 开 源 、 可 扩 展 的 service mesh（ 一 般 翻 译 成 服 务 网 格 ， 还 有 一 种 说 法 叫 ” 服 务 啮 合 层 “ ， 见 < a href = "http://www.infoq.com/cn/news/2017/05/istio" target = "_blank" > Istio： 用 于 微 服 务 的 服 务 啮 合 层 < / a > ） 。 < / p >
< h2 id = "linkerd是什么" > Linkerd是 什 么 < / h2 >
< p > Linkerd的 出 现 是 为 了 解 决 像 twitter、 google这 类 超 大 规 模 生 产 系 统 的 复 杂 性 问 题 。 Linkerd不 是 通 过 控 制 服 务 之 间 的 通 信 机 制 来 解 决 这 个 问 题 ， 而 是 通 过 在 服 务 实 例 之 上 添 加 一 个 抽 象 层 来 解 决 的 。 < / p >
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< figure id = "fig1.5.2.2.1" > < img src = "https://linkerd.io/images/diagram-individual-instance.png" alt = "source https://linkerd.io" > < figcaption > 图 片 - source https://linkerd.io< / figcaption > < / figure >
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< p > Linkerd负 责 跨 服 务 通 信 中 最 困 难 、 易 出 错 的 部 分 ， 包 括 延 迟 感 知 、 负 载 平 衡 、 连 接 池 、 TLS、 仪 表 盘 、 请 求 路 由 等 — — 这 些 都 会 影 响 应 用 程 序 伸 缩 性 、 性 能 和 弹 性 。 < / p >
< h2 id = "如何运行" > 如 何 运 行 < / h2 >
< p > Linkerd作 为 独 立 代 理 运 行 ， 无 需 特 定 的 语 言 和 库 支 持 。 应 用 程 序 通 常 会 在 已 知 位 置 运 行 linkerd实 例 ， 然 后 通 过 这 些 实 例 代 理 服 务 调 用 — — 即 不 是 直 接 连 接 到 目 标 服 务 ， 服 务 连 接 到 它 们 对 应 的 linkerd实 例 ， 并 将 它 们 视 为 目 标 服 务 。 < / p >
< p > 在 该 层 上 ， linkerd应 用 路 由 规 则 ， 与 现 有 服 务 发 现 机 制 通 信 ， 对 目 标 实 例 做 负 载 均 衡 — — 与 此 同 时 调 整 通 信 并 报 告 指 标 。 < / p >
< p > 通 过 延 迟 调 用 linkerd的 机 制 ， 应 用 程 序 代 码 与 以 下 内 容 解 耦 ： < / p >
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< p > 应 用 程 序 也 将 从 一 致 的 全 局 流 量 控 制 系 统 中 受 益 。 这 对 于 多 语 言 应 用 程 序 尤 其 重 要 ， 因 为 通 过 库 来 实 现 这 种 一 致 性 是 非 常 困 难 的 。 < / p >
< p > Linkerd实 例 可 以 作 为 sidecar（ 既 为 每 个 应 用 实 体 或 每 个 主 机 部 署 一 个 实 例 ） 来 运 行 。 由 于 linkerd实 例 是 无 状 态 和 独 立 的 ， 因 此 它 们 可 以 轻 松 适 应 现 有 的 部 署 拓 扑 。 它 们 可 以 与 各 种 配 置 的 应 用 程 序 代 码 一 起 部 署 ， 并 且 基 本 不 需 要 去 协 调 它 们 。 < / p >
< h2 id = "参考" > 参 考 < / h2 >
< p > < a href = "http://www.infoq.com/cn/news/2017/05/buoyant-release-ver-1-of-linkerd" target = "_blank" > Buoyant发 布 服 务 网 格 Linkerd的 1.0版 本 < / a > < / p >
< p > < a href = "https://linkerd.io/documentation/" target = "_blank" > Linkerd documentation< / a > < / p >
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< p > < a href = "http://www.infoq.com/cn/news/2017/05/istio" target = "_blank" > Istio： 用 于 微 服 务 的 服 务 啮 合 层 < / a > < / p >
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