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序言
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1. Kubernetes与云原生应用概览
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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 创建用户认证授权的kubeconfig文件
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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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3.5.3 使用StatefulSet部署用状态应用
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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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4.2.5 安装Nginx ingress
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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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4.3.6 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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4.3.9 使用Heapster获取集群和对象的metric数据
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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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4.5 服务编排管理
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4.5.1 使用Helm管理kubernetes应用
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4.5.2 构建私有Chart仓库
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4.6 持续集成与发布
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4.6.1 使用Jenkins进行持续集成与发布
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4.6.2 使用Drone进行持续集成与发布
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4.7 更新与升级
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4.7.1 手动升级kubernetes集群
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4.7.2 升级dashboard
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5. 领域应用
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5.1 微服务架构
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5.1.1 微服务中的服务发现
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5.2 Service Mesh 服务网格
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5.1.1 Istio
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5.1.1.1 安装istio
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5.1.1.2 配置请求的路由规则
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5.1.2 Linkerd
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5.1.2.1 Linkerd 使用指南
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5.2 大数据
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5.2.1 Spark standalone on Kubernetes
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< 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
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5.3 Serverless架构
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5.4 边缘计算
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6. 开发指南
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6.1 开发环境搭建
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6.2 单元测试和集成测试
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6.3 client-go示例
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6.4 社区贡献
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6.5 Minikube
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7. 附录
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7.1 Docker最佳实践
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7.2 问题记录
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7.3 使用技巧
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7.4 kubernetes中的应用故障排查
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7.5 Kubernetes相关资讯和情报链接
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本书使用 GitBook 发布
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< h1 id = "job" > Job< / h1 >
< p > Job负 责 批 处 理 任 务 ， 即 仅 执 行 一 次 的 任 务 ， 它 保 证 批 处 理 任 务 的 一 个 或 多 个 Pod成 功 结 束 。 < / p >
< h2 id = "job-spec格式" > Job Spec格 式 < / h2 >
< ul >
< li > spec.template格 式 同 Pod< / li >
< li > RestartPolicy仅 支 持 Never或 OnFailure< / li >
< li > 单 个 Pod时 ， 默 认 Pod成 功 运 行 后 Job即 结 束 < / li >
< li > < code > .spec.completions< / code > 标 志 Job结 束 需 要 成 功 运 行 的 Pod个 数 ， 默 认 为 1< / li >
< li > < code > .spec.parallelism< / code > 标 志 并 行 运 行 的 Pod的 个 数 ， 默 认 为 1< / li >
< li > < code > spec.activeDeadlineSeconds< / code > 标 志 失 败 Pod的 重 试 最 大 时 间 ， 超 过 这 个 时 间 不 会 继 续 重 试 < / li >
< / ul >
< p > 一 个 简 单 的 例 子 ： < / p >
< pre > < code class = "lang-yaml" > < span class = "hljs-attr" > apiVersion:< / span > batch/v1
< span class = "hljs-attr" > kind:< / span > Job
< span class = "hljs-attr" > metadata:< / span >
< span class = "hljs-attr" > name:< / span > pi
< span class = "hljs-attr" > spec:< / span >
< span class = "hljs-attr" > template:< / span >
< span class = "hljs-attr" > metadata:< / span >
< span class = "hljs-attr" > name:< / span > pi
< span class = "hljs-attr" > spec:< / span >
< span class = "hljs-attr" > containers:< / span >
< span class = "hljs-attr" > - name:< / span > pi
< span class = "hljs-attr" > image:< / span > perl
< span class = "hljs-attr" > command:< / span > [< span class = "hljs-string" > " perl" < / span > , < span class = "hljs-string" > " -Mbignum=bpi" < / span > , < span class = "hljs-string" > " -wle" < / span > , < span class = "hljs-string" > " print bpi(2000)" < / span > ]
< span class = "hljs-attr" > restartPolicy:< / span > Never
< / code > < / pre >
< pre > < code class = "lang-bash" > $ kubectl create < span class = "hljs-_" > -f< / span > ./job.yaml
job < span class = "hljs-string" > " pi" < / span > created
$ pods=$(kubectl get pods --selector=job-name=pi --output=jsonpath={.items..metadata.name})
$ kubectl logs < span class = "hljs-variable" > $pods< / span >
3.141592653589793238462643383279502...
< / code > < / pre >
< h2 id = "bare-pods" > Bare Pods< / h2 >
< p > 所 谓 Bare Pods是 指 直 接 用 PodSpec来 创 建 的 Pod（ 即 不 在 ReplicaSets或 者 ReplicationController的 管 理 之 下 的 Pods） 。 这 些 Pod在 Node重 启 后 不 会 自 动 重 启 ， 但 Job则 会 创 建 新 的 Pod继 续 任 务 。 所 以 ， 推 荐 使 用 Job来 替 代 Bare Pods， 即 便 是 应 用 只 需 要 一 个 Pod。 < / p >
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