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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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3.2 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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4.3.8 使用Prometheus监控kubernetes集群
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4.4 存储管理
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4.4.1 GlusterFS
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4.4.1.1 使用GlusterFS做持久化存储
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4.4.1.2 在OpenShift中使用GlusterFS做持久化存储
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4.4.2 CephFS
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4.4.2.1 使用Ceph做持久化存储
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< / li >
< / ul >
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< / ul >
< / li >
< / ul >
< / li >
< li class = "chapter " data-level = "1.5" data-path = "../usecases/" >
< a href = "../usecases/" >
5. 领域应用
< / a >
< ul class = "articles" >
< li class = "chapter " data-level = "1.5.1" data-path = "../usecases/microservices.html" >
< a href = "../usecases/microservices.html" >
5.1 微服务架构
< / a >
< ul class = "articles" >
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< li class = "chapter " data-level = "1.5.1.1" data-path = "../usecases/service-discovery-in-microservices.html" >
< a href = "../usecases/service-discovery-in-microservices.html" >
5.1.1 微服务中的服务发现
< / a >
< / li >
< / ul >
< / li >
< li class = "chapter " data-level = "1.5.2" data-path = "../usecases/service-mesh.html" >
< a href = "../usecases/service-mesh.html" >
5.2 Service Mesh 服务网格
< / a >
< ul class = "articles" >
< li class = "chapter " data-level = "1.5.2.1" data-path = "../usecases/istio.html" >
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< a href = "../usecases/istio.html" >
5.1.1 Istio
< / a >
< ul class = "articles" >
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< li class = "chapter " data-level = "1.5.2.1.1" data-path = "../usecases/istio-installation.html" >
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< a href = "../usecases/istio-installation.html" >
5.1.1.1 安装istio
< / a >
< / li >
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< li class = "chapter " data-level = "1.5.2.1.2" data-path = "../usecases/configuring-request-routing.html" >
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< a href = "../usecases/configuring-request-routing.html" >
5.1.1.2 配置请求的路由规则
< / a >
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< / ul >
< / li >
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< li class = "chapter " data-level = "1.5.2.2" data-path = "../usecases/linkerd.html" >
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< a href = "../usecases/linkerd.html" >
5.1.2 Linkerd
< / a >
< ul class = "articles" >
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< li class = "chapter " data-level = "1.5.2.2.1" data-path = "../usecases/linkerd-user-guide.html" >
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< a href = "../usecases/linkerd-user-guide.html" >
5.1.2.1 Linkerd 使用指南
< / a >
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< li class = "chapter " data-level = "1.5.3" data-path = "../usecases/big-data.html" >
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< a href = "../usecases/big-data.html" >
5.2 大数据
< / a >
< ul class = "articles" >
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< li class = "chapter " data-level = "1.5.3.1" data-path = "../usecases/spark-standalone-on-kubernetes.html" >
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< a href = "../usecases/spark-standalone-on-kubernetes.html" >
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5.2.1 Spark standalone on Kubernetes
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< / a >
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< / li >
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< li class = "chapter " data-level = "1.5.3.2" data-path = "../usecases/running-spark-with-kubernetes-native-scheduler.html" >
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2017-09-14 15:57:50 +08:00
< a href = "../usecases/running-spark-with-kubernetes-native-scheduler.html" >
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5.2.2 运行支持kubernetes原生调度的Spark程序
< / a >
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< / li >
< / ul >
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< / li >
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< li class = "chapter " data-level = "1.5.4" data-path = "../usecases/serverless.html" >
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< a href = "../usecases/serverless.html" >
5.3 Serverless架构
< / a >
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< / li >
< / ul >
< / li >
< li class = "chapter " data-level = "1.6" data-path = "../develop/" >
< a href = "../develop/" >
6. 开发指南
< / a >
< ul class = "articles" >
< li class = "chapter " data-level = "1.6.1" data-path = "../develop/developing-environment.html" >
< a href = "../develop/developing-environment.html" >
6.1 开发环境搭建
< / a >
< / li >
< li class = "chapter " data-level = "1.6.2" data-path = "../develop/testing.html" >
< a href = "../develop/testing.html" >
6.2 单元测试和集成测试
< / a >
< / li >
< li class = "chapter " data-level = "1.6.3" data-path = "../develop/client-go-sample.html" >
< a href = "../develop/client-go-sample.html" >
6.3 client-go示例
< / a >
< / li >
< li class = "chapter " data-level = "1.6.4" data-path = "../develop/contribute.html" >
< a href = "../develop/contribute.html" >
6.4 社区贡献
< / a >
< / li >
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< / li >
< li class = "chapter " data-level = "1.7" data-path = "../appendix/" >
< a href = "../appendix/" >
7. 附录
< / a >
< ul class = "articles" >
< li class = "chapter " data-level = "1.7.1" data-path = "../appendix/docker-best-practice.html" >
< a href = "../appendix/docker-best-practice.html" >
7.1 Docker最佳实践
< / a >
< / li >
< li class = "chapter " data-level = "1.7.2" data-path = "../appendix/issues.html" >
< a href = "../appendix/issues.html" >
7.2 问题记录
< / a >
< / li >
< li class = "chapter " data-level = "1.7.3" data-path = "../appendix/tricks.html" >
< a href = "../appendix/tricks.html" >
7.3 使用技巧
< / a >
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< / li >
< li class = "chapter " data-level = "1.7.4" data-path = "../appendix/debug-kubernetes-services.html" >
< a href = "../appendix/debug-kubernetes-services.html" >
7.4 kubernetes service中的故障排查
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< / li >
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< li class = "divider" > < / li >
< li >
< a href = "https://www.gitbook.com" target = "blank" class = "gitbook-link" >
2017-09-19 22:01:07 +08:00
本书使用 GitBook 发布
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< / a >
< / li >
< / ul >
< / nav >
< / div >
< div class = "book-body" >
< div class = "body-inner" >
< div class = "book-header" role = "navigation" >
<!-- Title -->
< h1 >
< i class = "fa fa-circle-o-notch fa-spin" > < / i >
< a href = ".." > 4.1.5 部署master节点< / a >
< / h1 >
< / div >
< div class = "page-wrapper" tabindex = "-1" role = "main" >
< div class = "page-inner" >
< div class = "search-plus" id = "book-search-results" >
< div class = "search-noresults" >
< section class = "normal markdown-section" >
< h1 id = "部署master节点" > 部 署 master节 点 < / h1 >
< p > kubernetes master 节 点 包 含 的 组 件 ： < / p >
< ul >
< li > kube-apiserver< / li >
< li > kube-scheduler< / li >
< li > kube-controller-manager< / li >
< / ul >
< p > 目 前 这 三 个 组 件 需 要 部 署 在 同 一 台 机 器 上 。 < / p >
< ul >
< li > < code > kube-scheduler< / code > 、 < code > kube-controller-manager< / code > 和 < code > kube-apiserver< / code > 三 者 的 功 能 紧 密 相 关 ； < / li >
< li > 同 时 只 能 有 一 个 < code > kube-scheduler< / code > 、 < code > kube-controller-manager< / code > 进 程 处 于 工 作 状 态 ， 如 果 运 行 多 个 ， 则 需 要 通 过 选 举 产 生 一 个 leader； < / li >
< / ul >
< p > < del > 本 文 档 记 录 部 署 一 个 三 个 节 点 的 高 可 用 kubernetes master 集 群 步 骤 。 （ 后 续 创 建 一 个 load balancer 来 代 理 访 问 kube-apiserver 的 请 求 ） < / del > < / p >
< p > 暂 时 未 实 现 master节 点 的 高 可 用 。 < / p >
< h2 id = "tls-证书文件" > TLS 证 书 文 件 < / h2 >
< p > pem和 token.csv证 书 文 件 我 们 在 < a href = "01-TLS证书和秘钥.md" > TLS证 书 和 秘 钥 < / a > 这 一 步 中 已 经 创 建 过 了 。 我 们 再 检 查 一 下 。 < / p >
< pre > < code class = "lang-bash" > $ ls /etc/kubernetes/ssl
admin-key.pem admin.pem ca-key.pem ca.pem kube-proxy-key.pem kube-proxy.pem kubernetes-key.pem kubernetes.pem
< / code > < / pre >
< h2 id = "下载最新版本的二进制文件" > 下 载 最 新 版 本 的 二 进 制 文 件 < / h2 >
< p > 有 两 种 下 载 方 式 < / p >
< p > < strong > 方 式 一 < / strong > < / p >
< p > 从 < a href = "https://github.com/kubernetes/kubernetes/releases" target = "_blank" > github release 页 面 < / a > 下 载 发 布 版 tarball， 解 压 后 再 执 行 下 载 脚 本 < / p >
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< pre > < code class = "lang-shell" > wget https://github.com/kubernetes/kubernetes/releases/download/v1.6.0/kubernetes.tar.gz
tar -xzvf kubernetes.tar.gz
cd kubernetes
./cluster/get-kube-binaries.sh
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< / code > < / pre >
< p > < strong > 方 式 二 < / strong > < / p >
< p > 从 < a href = "https://github.com/kubernetes/kubernetes/blob/master/CHANGELOG.md" target = "_blank" > < code > CHANGELOG< / code > 页 面 < / a > 下 载 < code > client< / code > 或 < code > server< / code > tarball 文 件 < / p >
< p > < code > server< / code > 的 tarball < code > kubernetes-server-linux-amd64.tar.gz< / code > 已 经 包 含 了 < code > client< / code > (< code > kubectl< / code > ) 二 进 制 文 件 ， 所 以 不 用 单 独 下 载 < code > kubernetes-client-linux-amd64.tar.gz< / code > 文 件 ； < / p >
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< pre > < code class = "lang-shell" > # wget https://dl.k8s.io/v1.6.0/kubernetes-client-linux-amd64.tar.gz
wget https://dl.k8s.io/v1.6.0/kubernetes-server-linux-amd64.tar.gz
tar -xzvf kubernetes-server-linux-amd64.tar.gz
cd kubernetes
tar -xzvf kubernetes-src.tar.gz
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< / code > < / pre >
< p > 将 二 进 制 文 件 拷 贝 到 指 定 路 径 < / p >
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< pre > < code class = "lang-bash" > cp -r server/bin/{kube-apiserver,kube-controller-manager,kube-scheduler,kubectl,kube-proxy,kubelet} /usr/< span class = "hljs-built_in" > local< / span > /bin/
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< / code > < / pre >
< h2 id = "配置和启动-kube-apiserver" > 配 置 和 启 动 kube-apiserver< / h2 >
< p > < strong > 创 建 kube-apiserver的 service配 置 文 件 < / strong > < / p >
< p > serivce配 置 文 件 < code > /usr/lib/systemd/system/kube-apiserver.service< / code > 内 容 ： < / p >
< pre > < code class = "lang-ini" > [Unit]
Description=Kubernetes API Service
Documentation=https://github.com/GoogleCloudPlatform/kubernetes
After=network.target
After=etcd.service
[Service]
EnvironmentFile=-/etc/kubernetes/config
EnvironmentFile=-/etc/kubernetes/apiserver
ExecStart=/usr/local/bin/kube-apiserver \
$KUBE_LOGTOSTDERR \
$KUBE_LOG_LEVEL \
$KUBE_ETCD_SERVERS \
$KUBE_API_ADDRESS \
$KUBE_API_PORT \
$KUBELET_PORT \
$KUBE_ALLOW_PRIV \
$KUBE_SERVICE_ADDRESSES \
$KUBE_ADMISSION_CONTROL \
$KUBE_API_ARGS
Restart=on-failure
Type=notify
LimitNOFILE=65536
[Install]
WantedBy=multi-user.target
< / code > < / pre >
< p > < code > /etc/kubernetes/config< / code > 文 件 的 内 容 为 ： < / p >
< pre > < code class = "lang-ini" > < span class = "hljs-comment" > ###< / span >
< span class = "hljs-comment" > # kubernetes system config< / span >
< span class = "hljs-comment" > #< / span >
< span class = "hljs-comment" > # The following values are used to configure various aspects of all< / span >
< span class = "hljs-comment" > # kubernetes services, including< / span >
< span class = "hljs-comment" > #< / span >
< span class = "hljs-comment" > # kube-apiserver.service< / span >
< span class = "hljs-comment" > # kube-controller-manager.service< / span >
< span class = "hljs-comment" > # kube-scheduler.service< / span >
< span class = "hljs-comment" > # kubelet.service< / span >
< span class = "hljs-comment" > # kube-proxy.service< / span >
< span class = "hljs-comment" > # logging to stderr means we get it in the systemd journal< / span >
< span class = "hljs-attr" > KUBE_LOGTOSTDERR< / span > =< span class = "hljs-string" > " --logtostderr=true" < / span >
< span class = "hljs-comment" > # journal message level, 0 is debug< / span >
< span class = "hljs-attr" > KUBE_LOG_LEVEL< / span > =< span class = "hljs-string" > " --v=0" < / span >
< span class = "hljs-comment" > # Should this cluster be allowed to run privileged docker containers< / span >
< span class = "hljs-attr" > KUBE_ALLOW_PRIV< / span > =< span class = "hljs-string" > " --allow-privileged=true" < / span >
< span class = "hljs-comment" > # How the controller-manager, scheduler, and proxy find the apiserver< / span >
< span class = "hljs-comment" > #KUBE_MASTER=" --master=http://sz-pg-oam-docker-test-001.tendcloud.com:8080" < / span >
< span class = "hljs-attr" > KUBE_MASTER< / span > =< span class = "hljs-string" > " --master=http://172.20.0.113:8080" < / span >
< / code > < / pre >
< p > 该 配 置 文 件 同 时 被 kube-apiserver、 kube-controller-manager、 kube-scheduler、 kubelet、 kube-proxy使 用 。 < / p >
< p > apiserver配 置 文 件 < code > /etc/kubernetes/apiserver< / code > 内 容 为 ： < / p >
< pre > < code class = "lang-Ini" > < span class = "hljs-comment" > ###< / span >
< span class = "hljs-comment" > ## kubernetes system config< / span >
< span class = "hljs-comment" > ##< / span >
< span class = "hljs-comment" > ## The following values are used to configure the kube-apiserver< / span >
< span class = "hljs-comment" > ##< / span >
< span class = "hljs-comment" > #< / span >
< span class = "hljs-comment" > ## The address on the local server to listen to.< / span >
< span class = "hljs-comment" > #KUBE_API_ADDRESS=" --insecure-bind-address=sz-pg-oam-docker-test-001.tendcloud.com" < / span >
< span class = "hljs-attr" > KUBE_API_ADDRESS< / span > =< span class = "hljs-string" > " --advertise-address=172.20.0.113 --bind-address=172.20.0.113 --insecure-bind-address=172.20.0.113" < / span >
< span class = "hljs-comment" > #< / span >
< span class = "hljs-comment" > ## The port on the local server to listen on.< / span >
< span class = "hljs-comment" > #KUBE_API_PORT=" --port=8080" < / span >
< span class = "hljs-comment" > #< / span >
< span class = "hljs-comment" > ## Port minions listen on< / span >
< span class = "hljs-comment" > #KUBELET_PORT=" --kubelet-port=10250" < / span >
< span class = "hljs-comment" > #< / span >
< span class = "hljs-comment" > ## Comma separated list of nodes in the etcd cluster< / span >
< span class = "hljs-attr" > KUBE_ETCD_SERVERS< / span > =< span class = "hljs-string" > " --etcd-servers=https://172.20.0.113:2379,https://172.20.0.114:2379,https://172.20.0.115:2379" < / span >
< span class = "hljs-comment" > #< / span >
< span class = "hljs-comment" > ## Address range to use for services< / span >
< span class = "hljs-attr" > KUBE_SERVICE_ADDRESSES< / span > =< span class = "hljs-string" > " --service-cluster-ip-range=10.254.0.0/16" < / span >
< span class = "hljs-comment" > #< / span >
< span class = "hljs-comment" > ## default admission control policies< / span >
< span class = "hljs-attr" > KUBE_ADMISSION_CONTROL< / span > =< span class = "hljs-string" > " --admission-control=ServiceAccount,NamespaceLifecycle,NamespaceExists,LimitRanger,ResourceQuota" < / span >
< span class = "hljs-comment" > #< / span >
< span class = "hljs-comment" > ## Add your own!< / span >
< span class = "hljs-attr" > KUBE_API_ARGS< / span > =< span class = "hljs-string" > " --authorization-mode=RBAC --runtime-config=rbac.authorization.k8s.io/v1beta1 --kubelet-https=true --experimental-bootstrap-token-auth --token-auth-file=/etc/kubernetes/token.csv --service-node-port-range=30000-32767 --tls-cert-file=/etc/kubernetes/ssl/kubernetes.pem --tls-private-key-file=/etc/kubernetes/ssl/kubernetes-key.pem --client-ca-file=/etc/kubernetes/ssl/ca.pem --service-account-key-file=/etc/kubernetes/ssl/ca-key.pem --etcd-cafile=/etc/kubernetes/ssl/ca.pem --etcd-certfile=/etc/kubernetes/ssl/kubernetes.pem --etcd-keyfile=/etc/kubernetes/ssl/kubernetes-key.pem --enable-swagger-ui=true --apiserver-count=3 --audit-log-maxage=30 --audit-log-maxbackup=3 --audit-log-maxsize=100 --audit-log-path=/var/lib/audit.log --event-ttl=1h" < / span >
< / code > < / pre >
< ul >
< li > < code > --authorization-mode=RBAC< / code > 指 定 在 安 全 端 口 使 用 RBAC 授 权 模 式 ， 拒 绝 未 通 过 授 权 的 请 求 ； < / li >
< li > kube-scheduler、 kube-controller-manager 一 般 和 kube-apiserver 部 署 在 同 一 台 机 器 上 ， 它 们 使 用 < strong > 非 安 全 端 口 < / strong > 和 kube-apiserver通 信 ;< / li >
< li > kubelet、 kube-proxy、 kubectl 部 署 在 其 它 Node 节 点 上 ， 如 果 通 过 < strong > 安 全 端 口 < / strong > 访 问 kube-apiserver， 则 必 须 先 通 过 TLS 证 书 认 证 ， 再 通 过 RBAC 授 权 ； < / li >
< li > kube-proxy、 kubectl 通 过 在 使 用 的 证 书 里 指 定 相 关 的 User、 Group 来 达 到 通 过 RBAC 授 权 的 目 的 ； < / li >
< li > 如 果 使 用 了 kubelet TLS Boostrap 机 制 ， 则 不 能 再 指 定 < code > --kubelet-certificate-authority< / code > 、 < code > --kubelet-client-certificate< / code > 和 < code > --kubelet-client-key< / code > 选 项 ， 否 则 后 续 kube-apiserver 校 验 kubelet 证 书 时 出 现 ” x509: certificate signed by unknown authority“ 错 误 ； < / li >
< li > < code > --admission-control< / code > 值 必 须 包 含 < code > ServiceAccount< / code > ； < / li >
< li > < code > --bind-address< / code > 不 能 为 < code > 127.0.0.1< / code > ； < / li >
< li > < code > runtime-config< / code > 配 置 为 < code > rbac.authorization.k8s.io/v1beta1< / code > ， 表 示 运 行 时 的 apiVersion； < / li >
< li > < code > --service-cluster-ip-range< / code > 指 定 Service Cluster IP 地 址 段 ， 该 地 址 段 不 能 路 由 可 达 ； < / li >
< li > 缺 省 情 况 下 kubernetes 对 象 保 存 在 etcd < code > /registry< / code > 路 径 下 ， 可 以 通 过 < code > --etcd-prefix< / code > 参 数 进 行 调 整 ； < / li >
< / ul >
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< p > 完 整 unit 见 < a href = "../systemd/kube-apiserver.service" > kube-apiserver.service< / a > < / p >
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< p > < strong > 启 动 kube-apiserver< / strong > < / p >
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< pre > < code class = "lang-bash" > systemctl daemon-reload
systemctl < span class = "hljs-built_in" > enable< / span > kube-apiserver
systemctl start kube-apiserver
systemctl status kube-apiserver
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< / code > < / pre >
< h2 id = "配置和启动-kube-controller-manager" > 配 置 和 启 动 kube-controller-manager< / h2 >
< p > < strong > 创 建 kube-controller-manager的 serivce配 置 文 件 < / strong > < / p >
< p > 文 件 路 径 < code > /usr/lib/systemd/system/kube-controller-manager.service< / code > < / p >
< pre > < code class = "lang-ini" > Description=Kubernetes Controller Manager
Documentation=https://github.com/GoogleCloudPlatform/kubernetes
[Service]
EnvironmentFile=-/etc/kubernetes/config
EnvironmentFile=-/etc/kubernetes/controller-manager
ExecStart=/usr/local/bin/kube-controller-manager \
$KUBE_LOGTOSTDERR \
$KUBE_LOG_LEVEL \
$KUBE_MASTER \
$KUBE_CONTROLLER_MANAGER_ARGS
Restart=on-failure
LimitNOFILE=65536
[Install]
WantedBy=multi-user.target
< / code > < / pre >
< p > 配 置 文 件 < code > /etc/kubernetes/controller-manager< / code > 。 < / p >
< pre > < code class = "lang-ini" > < span class = "hljs-comment" > ###< / span >
< span class = "hljs-comment" > # The following values are used to configure the kubernetes controller-manager< / span >
< span class = "hljs-comment" > # defaults from config and apiserver should be adequate< / span >
< span class = "hljs-comment" > # Add your own!< / span >
< span class = "hljs-attr" > KUBE_CONTROLLER_MANAGER_ARGS< / span > =< span class = "hljs-string" > " --address=127.0.0.1 --service-cluster-ip-range=10.254.0.0/16 --cluster-name=kubernetes --cluster-signing-cert-file=/etc/kubernetes/ssl/ca.pem --cluster-signing-key-file=/etc/kubernetes/ssl/ca-key.pem --service-account-private-key-file=/etc/kubernetes/ssl/ca-key.pem --root-ca-file=/etc/kubernetes/ssl/ca.pem --leader-elect=true" < / span >
< / code > < / pre >
< ul >
< li > < code > --service-cluster-ip-range< / code > 参 数 指 定 Cluster 中 Service 的 CIDR范 围 ， 该 网 络 在 各 Node 间 必 须 路 由 不 可 达 ， 必 须 和 kube-apiserver 中 的 参 数 一 致 ； < / li >
< li > < code > --cluster-signing-*< / code > 指 定 的 证 书 和 私 钥 文 件 用 来 签 名 为 TLS BootStrap 创 建 的 证 书 和 私 钥 ； < / li >
< li > < code > --root-ca-file< / code > 用 来 对 kube-apiserver 证 书 进 行 校 验 ， < strong > 指 定 该 参 数 后 ， 才 会 在 Pod 容 器 的 ServiceAccount 中 放 置 该 CA 证 书 文 件 < / strong > ； < / li >
< li > < p > < code > --address< / code > 值 必 须 为 < code > 127.0.0.1< / code > ， 因 为 当 前 kube-apiserver 期 望 scheduler 和 controller-manager 在 同 一 台 机 器 ， 否 则 ： < / p >
< pre > < code class = "lang-bash" > $ kubectl get componentstatuses
NAME STATUS MESSAGE ERROR
scheduler Unhealthy Get http://127.0.0.1:10251/healthz: dial tcp 127.0.0.1:10251: getsockopt: connection refused
controller-manager Healthy ok
etcd-2 Healthy {< span class = "hljs-string" > " health" < / span > : < span class = "hljs-string" > " true" < / span > }
etcd-0 Healthy {< span class = "hljs-string" > " health" < / span > : < span class = "hljs-string" > " true" < / span > }
etcd-1 Healthy {< span class = "hljs-string" > " health" < / span > : < span class = "hljs-string" > " true" < / span > }
< / code > < / pre >
< p > 如 果 有 组 件 report unhealthy请 参 考 ： < a href = "https://github.com/kubernetes-incubator/bootkube/issues/64" target = "_blank" > https://github.com/kubernetes-incubator/bootkube/issues/64< / a > < / p >
< / li >
< / ul >
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< p > 完 整 unit 见 < a href = "../systemd/kube-controller-manager.service" > kube-controller-manager.service< / a > < / p >
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< h3 id = "启动-kube-controller-manager" > 启 动 kube-controller-manager< / h3 >
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< pre > < code class = "lang-bash" > systemctl daemon-reload
systemctl < span class = "hljs-built_in" > enable< / span > kube-controller-manager
systemctl start kube-controller-manager
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< / code > < / pre >
< h2 id = "配置和启动-kube-scheduler" > 配 置 和 启 动 kube-scheduler< / h2 >
< p > < strong > 创 建 kube-scheduler的 serivce配 置 文 件 < / strong > < / p >
< p > 文 件 路 径 < code > /usr/lib/systemd/system/kube-scheduler.service< / code > 。 < / p >
< pre > < code class = "lang-ini" > [Unit]
Description=Kubernetes Scheduler Plugin
Documentation=https://github.com/GoogleCloudPlatform/kubernetes
[Service]
EnvironmentFile=-/etc/kubernetes/config
EnvironmentFile=-/etc/kubernetes/scheduler
ExecStart=/usr/local/bin/kube-scheduler \
$KUBE_LOGTOSTDERR \
$KUBE_LOG_LEVEL \
$KUBE_MASTER \
$KUBE_SCHEDULER_ARGS
Restart=on-failure
LimitNOFILE=65536
[Install]
WantedBy=multi-user.target
< / code > < / pre >
< p > 配 置 文 件 < code > /etc/kubernetes/scheduler< / code > 。 < / p >
< pre > < code class = "lang-Ini" > < span class = "hljs-comment" > ###< / span >
< span class = "hljs-comment" > # kubernetes scheduler config< / span >
< span class = "hljs-comment" > # default config should be adequate< / span >
< span class = "hljs-comment" > # Add your own!< / span >
< span class = "hljs-attr" > KUBE_SCHEDULER_ARGS< / span > =< span class = "hljs-string" > " --leader-elect=true --address=127.0.0.1" < / span >
< / code > < / pre >
< ul >
< li > < code > --address< / code > 值 必 须 为 < code > 127.0.0.1< / code > ， 因 为 当 前 kube-apiserver 期 望 scheduler 和 controller-manager 在 同 一 台 机 器 ； < / li >
< / ul >
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< p > 完 整 unit 见 < a href = "../systemd/kube-scheduler.service" > kube-scheduler.service< / a > < / p >
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< h3 id = "启动-kube-scheduler" > 启 动 kube-scheduler< / h3 >
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< pre > < code class = "lang-bash" > systemctl daemon-reload
systemctl < span class = "hljs-built_in" > enable< / span > kube-scheduler
systemctl start kube-scheduler
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< / code > < / pre >
< h2 id = "验证-master-节点功能" > 验 证 master 节 点 功 能 < / h2 >
< pre > < code class = "lang-bash" > $ kubectl get componentstatuses
NAME STATUS MESSAGE ERROR
scheduler Healthy ok
controller-manager Healthy ok
etcd-0 Healthy {< span class = "hljs-string" > " health" < / span > : < span class = "hljs-string" > " true" < / span > }
etcd-1 Healthy {< span class = "hljs-string" > " health" < / span > : < span class = "hljs-string" > " true" < / span > }
etcd-2 Healthy {< span class = "hljs-string" > " health" < / span > : < span class = "hljs-string" > " true" < / span > }
< / code > < / pre >
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