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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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< h1 id = "spark-standalone-on-kubernetes" > Spark standalone on Kubernetes< / h1 >
< p > 该 项 目 是 基 于 Spark standalone 模 式 ， 对 资 源 的 分 配 调 度 还 有 作 业 状 态 查 询 的 功 能 实 在 有 限 ， 对 于 让 spark 使 用 真 正 原 生 的 kubernetes 资 源 调 度 推 荐 大 家 尝 试 < a href = "https://github.com/apache-spark-on-k8s/" target = "_blank" > https://github.com/apache-spark-on-k8s/< / a > < / p >
< p > 本 文 中 使 用 的 镜 像 我 已 编 译 好 上 传 到 了 时 速 云 上 ， 大 家 可 以 直 接 下 载 。 < / p >
< pre > < code > index.tenxcloud.com/jimmy/spark:1.5.2_v1
index.tenxcloud.com/jimmy/zeppelin:0.7.1
< / code > < / pre > < p > 代 码 和 使 用 文 档 见 Github地 址 ： < a href = "https://github.com/rootsongjc/spark-on-kubernetes" target = "_blank" > https://github.com/rootsongjc/spark-on-kubernetes< / a > < / p >
< p > 本 文 中 用 到 的 yaml 文 件 可 以 在 < a href = "../manifests/spark-standalone" > ../manifests/spark-standalone< / a > 目 录 下 找 到 ， 也 可 以 在 上 面 的 < a href = "https://github.com/rootsongjc/spark-on-kubernetes/" target = "_blank" > https://github.com/rootsongjc/spark-on-kubernetes/< / a > 项 目 的 manifests 目 录 下 找 到 。 < / p >
< p > < strong > 注 意 < / strong > ： 时 速 云 上 本 来 已 经 提 供 的 镜 像 < code > index.tenxcloud.com/google_containers/spark:1.5.2_v1< / code > ， 但 是 该 镜 像 似 乎 有 问 题 ， 下 载 总 是 失 败 。 < / p >
< h2 id = "在kubernetes上启动spark" > 在 Kubernetes上 启 动 spark< / h2 >
< p > 创 建 名 为 spark-cluster的 namespace， 所 有 操 作 都 在 该 namespace中 进 行 。 < / p >
< p > 所 有 yaml文 件 都 在 < code > manifests< / code > 目 录 下 。 < / p >
< pre > < code > $ kubectl create -f manifests/
< / code > < / pre > < p > 将 会 启 动 一 个 拥 有 三 个 worker的 spark集 群 和 zeppelin。 < / p >
< p > 同 时 在 该 namespace中 增 加 ingress配 置 ， 将 spark的 UI和 zeppelin页 面 都 暴 露 出 来 ， 可 以 在 集 群 外 部 访 问 。 < / p >
< p > 该 ingress后 端 使 用 traefik。 < / p >
< h2 id = "访问spark" > 访 问 spark< / h2 >
< p > 通 过 上 面 对 ingress的 配 置 暴 露 服 务 ， 需 要 修 改 本 机 的 /etc/hosts文 件 ， 增 加 以 下 配 置 ， 使 其 能 够 解 析 到 上 述 service。 < / p >
< pre > < code > 172.20.0.119 zeppelin.traefik.io
172.20.0.119 spark.traefik.io
< / code > < / pre > < p > 172.20.0.119是 我 设 置 的 VIP地 址 ， VIP的 设 置 和 traefik的 配 置 请 查 看 < a href = "https://github.com/rootsongjc/kubernetes-handbook" target = "_blank" > kubernetes-handbook< / a > 。 < / p >
< p > < strong > spark ui< / strong > < / p >
< p > 访 问 < a href = "http://spark.traefik.io" target = "_blank" > http://spark.traefik.io< / a > < / p >
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< figure id = "fig1.5.3.1.1" > < img src = "../images/spark-ui.jpg" alt = "spark master ui" > < figcaption > 图 片 - spark master ui< / figcaption > < / figure >
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< p > < strong > zeppelin ui< / strong > < / p >
< p > 访 问 < a href = "http://zepellin.treafik.io" target = "_blank" > http://zepellin.treafik.io< / a > < / p >
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< p > < img src = "../images/zeppelin-ui.jpg" alt = "zeppelin ui" > < / p >
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