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kubernetes系列教程（十二）详解DaemonSet控制器

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kubernetes系列教程（十二）详解DaemonSet控制器

2023-05-04 13:49| 来源: 网络整理| 查看: 265

视频教程连接：kubernetes快速入门

写在前面

上章节中介绍了Deployment，ReplicaSet，ReplicationController等副本控制器的使用和场景，接下来介绍kubernetes系列教程控制器DaemonSet使用。

1. DaemonSet控制器1.1 DaemonSet简介

介绍DaemonSet时我们先来思考一个问题：相信大家都接触过监控系统比如zabbix，监控系统需要在被监控机安装一个agent，安装agent通常会涉及到以下几个场景：

所有节点都必须安装agent以便采集监控数据新加入的节点需要配置agent，手动或者运行脚本节点下线后需要手动在监控系统中删除

kubernetes中经常涉及到在node上安装部署应用，它是如何解决上述的问题的呢？答案是DaemonSet。DaemonSet守护进程简称DS，适用于在所有节点或部分节点运行一个daemon守护进程，如监控我们安装部署时网络插件kube-flannel和kube-proxy，DaemonSet具有如下特点：

DaemonSet确保所有节点运行一个Pod副本指定节点运行一个Pod副本，通过标签选择器或者节点亲和性新增节点会自动在节点增加一个Pod移除节点时垃圾回收机制会自动清理PodDaemnonSet控制器

DaemonSet适用于每个node节点均需要部署一个守护进程的场景，常见的场景例如：

日志采集agent，如fluentd或logstash监控采集agent，如Prometheus Node Exporter,Sysdig Agent,Ganglia gmond分布式集群组件，如Ceph MON，Ceph OSD，glusterd，Hadoop Yarn NodeManager等k8s必要运行组件，如网络flannel，weave，calico，kube-proxy等

安装k8s时默认在kube-system命名空间已经安装了有两个DaemonSet，分别为kube-flannel-ds-amd64和kube-proxy，分别负责flannel overlay网络的互通和service代理的实现，可以通过如下命令查看：

1. 查看kube-system命令空间的DaemonSet列表，当前集群有三个node节点，所以每个DS会运行三个Pod副本

[root@node-1 ~]# kubectl get ds -n kube-system NAME DESIRED CURRENT READY UP-TO-DATE AVAILABLE NODE SELECTOR AGE kube-flannel-ds-amd64 3 3 3 3 3 beta.kubernetes.io/arch=amd64 46d kube-proxy 3 3 3 3 3 beta.kubernetes.io/os=linux 46d

2. 查看Pod的副本情况，可以看到DaemonSet在每个节点都运行一个Pod

1.2 DaemonSet定义

DaemonSet的定义和Deployment定义使用相类似，需要定义apiVersion，Kind，metadata和spec属性信息，spec中不需要定义replicas个数，spec.template即定义DS生成容器的模版信息，如下是运行一个fluentd-elasticsearch镜像容器的daemon守护进程，运行在每个node上通过fluentd采集日志上报到ElasticSearch。

1. 通过yaml文件定义DaemonSet

[root@node-1 happylau]# cat fluentd-es-daemonset.yaml apiVersion: apps/v1 #api版本信息 kind: DaemonSet #类型为DaemonSet metadata: #元数据信息 name: fluentd-elasticsearch namespace: kube-system #运行的命名空间 labels: k8s-app: fluentd-logging spec: #DS模版 selector: matchLabels: name: fluentd-elasticsearch template: metadata: labels: name: fluentd-elasticsearch spec: tolerations: - key: node-role.kubernetes.io/master effect: NoSchedule containers: #容器信息 - name: fluentd-elasticsearch image: quay.io/fluentd_elasticsearch/fluentd:v2.5.2 resources: #resource资源 limits: memory: 200Mi requests: cpu: 100m memory: 200Mi volumeMounts: #挂载存储，agent需要到这些目录采集日志 - name: varlog mountPath: /var/log - name: varlibdockercontainers mountPath: /var/lib/docker/containers readOnly: true terminationGracePeriodSeconds: 30 volumes: #将主机的目录以hostPath的形式挂载到容器Pod中。 - name: varlog hostPath: path: /var/log - name: varlibdockercontainers hostPath: path: /var/lib/docker/containers

DaemonSet定义注意事项：

daemonset.spec.template定义Pod的模板信息，包含的metadata信息需要和selector保持一致template必须定义RestartPolicy的策略，切策略值为Always，保障服务异常时能自动重启恢复Pod运行在特定节点，支持指定调度策略，如nodeSelector，Node affinity，实现灵活调度

2. 生成DaemonSet

[root@node-1 happylau]# kubectl apply -f fluentd-es-daemonset.yaml daemonset.apps/fluentd-elasticsearch created

3. 查看DaemonSet列表

[root@node-1 happylau]# kubectl get daemonsets -n kube-system fluentd-elasticsearch NAME DESIRED CURRENT READY UP-TO-DATE AVAILABLE NODE SELECTOR AGE fluentd-elasticsearch 3 3 3 3 3 16s

4. 查看node上运行Pod的情况,在NODE列可以看到每个node都运行了一个Pod

[root@node-1 happylau]# kubectl get pods -n kube-system -o wide |grep fluentd fluentd-elasticsearch-blpqb 1/1 Running 0 3m7s 10.244.2.79 node-3 fluentd-elasticsearch-ksdlt 1/1 Running 0 3m7s 10.244.0.11 node-1 fluentd-elasticsearch-shtkh 1/1 Running 0 3m7s 10.244.1.64 node-2

5. 查看DaemonSet详情，可以看到DaemonSet支持RollingUpdate滚动更新策略

[root@node-1 happylau]# kubectl get daemonsets -n kube-system fluentd-elasticsearch -o yaml apiVersion: extensions/v1beta1 kind: DaemonSet metadata: annotations: kubectl.kubernetes.io/last-applied-configuration: | {"apiVersion":"apps/v1","kind":"DaemonSet","metadata":{"annotations":{},"labels":{"k8s-app":"fluentd-logging"},"name":"fluentd-elasticsearch","namespace":"kube-system"},"spec":{"selector":{"matchLabels":{"name":"fluentd-elasticsearch"}},"template":{"metadata":{"labels":{"name":"fluentd-elasticsearch"}},"spec":{"containers":[{"image":"quay.io/fluentd_elasticsearch/fluentd:v2.5.2","name":"fluentd-elasticsearch","resources":{"limits":{"memory":"200Mi"},"requests":{"cpu":"100m","memory":"200Mi"}},"volumeMounts":[{"mountPath":"/var/log","name":"varlog"},{"mountPath":"/var/lib/docker/containers","name":"varlibdockercontainers","readOnly":true}]}],"terminationGracePeriodSeconds":30,"tolerations":[{"effect":"NoSchedule","key":"node-role.kubernetes.io/master"}],"volumes":[{"hostPath":{"path":"/var/log"},"name":"varlog"},{"hostPath":{"path":"/var/lib/docker/containers"},"name":"varlibdockercontainers"}]}}}} creationTimestamp: "2019-10-30T15:19:20Z" generation: 1 labels: k8s-app: fluentd-logging name: fluentd-elasticsearch namespace: kube-system resourceVersion: "6046222" selfLink: /apis/extensions/v1beta1/namespaces/kube-system/daemonsets/fluentd-elasticsearch uid: c2c02c48-9f93-48f3-9d6c-32bfa671db0e spec: revisionHistoryLimit: 10 selector: matchLabels: name: fluentd-elasticsearch template: metadata: creationTimestamp: null labels: name: fluentd-elasticsearch spec: containers: - image: quay.io/fluentd_elasticsearch/fluentd:v2.5.2 imagePullPolicy: IfNotPresent name: fluentd-elasticsearch resources: limits: memory: 200Mi requests: cpu: 100m memory: 200Mi terminationMessagePath: /dev/termination-log terminationMessagePolicy: File volumeMounts: - mountPath: /var/log name: varlog - mountPath: /var/lib/docker/containers name: varlibdockercontainers readOnly: true dnsPolicy: ClusterFirst restartPolicy: Always #重启策略必须为Always，保障异常时能自动恢复 schedulerName: default-scheduler #默认调度策略 securityContext: {} terminationGracePeriodSeconds: 30 tolerations: - effect: NoSchedule key: node-role.kubernetes.io/master volumes: - hostPath: path: /var/log type: "" name: varlog - hostPath: path: /var/lib/docker/containers type: "" name: varlibdockercontainers templateGeneration: 1 updateStrategy: #滚动更新策略 rollingUpdate: maxUnavailable: 1 type: RollingUpdate status: currentNumberScheduled: 3 desiredNumberScheduled: 3 numberAvailable: 3 numberMisscheduled: 0 numberReady: 3 observedGeneration: 1 updatedNumberScheduled: 31.3 滚动更新与回滚

1. 更新镜像至最新版本

[root@node-1 ~]# kubectl set image daemonsets fluentd-elasticsearch fluentd-elasticsearch=quay.io/fluentd_elasticsearch/fluentd:latest -n kube-system daemonset.extensions/fluentd-elasticsearch image updated

2. 查看滚动更新状态

[root@node-1 ~]# kubectl rollout status daemonset -n kube-system fluentd-elasticsearch Waiting for daemon set "fluentd-elasticsearch" rollout to finish: 1 out of 3 new pods have been updated... Waiting for daemon set "fluentd-elasticsearch" rollout to finish: 1 out of 3 new pods have been updated... Waiting for daemon set "fluentd-elasticsearch" rollout to finish: 1 out of 3 new pods have been updated... Waiting for daemon set "fluentd-elasticsearch" rollout to finish: 2 out of 3 new pods have been updated... Waiting for daemon set "fluentd-elasticsearch" rollout to finish: 2 out of 3 new pods have been updated... Waiting for daemon set "fluentd-elasticsearch" rollout to finish: 2 out of 3 new pods have been updated... Waiting for daemon set "fluentd-elasticsearch" rollout to finish: 2 of 3 updated pods are available... daemon set "fluentd-elasticsearch" successfully rolled out

3. 查看DaemonSet详情，可以看到DS滚动更新的过程：DaemonSet先将node上的pod删除然后再创建

DaemonSet滚动更新过程

4. 查看DaemonSet滚动更新版本，REVSION 1为初始的版本

[root@node-1 ~]# kubectl rollout history daemonset -n kube-system fluentd-elasticsearch daemonset.extensions/fluentd-elasticsearch REVISION CHANGE-CAUSE 1 2

5. 更新回退，如果配置没有符合到预期可以回滚到原始的版本

[root@node-1 ~]# kubectl rollout undo daemonset -n kube-system fluentd-elasticsearch --to-revision=1 daemonset.extensions/fluentd-elasticsearch rolled back

6. 确认版本回退情况

DaemonSet版本回退

7. 观察版本回退的过程，回退的过程和和滚动更新过程类似，先删除Pod再创建

DaemonSet回退过程

8. 删除DaemonSet

[root@node-1 ~]# kubectl delete daemonsets -n kube-system fluentd-elasticsearch daemonset.extensions "fluentd-elasticsearch" deleted [root@node-1 ~]# kubectl get pods -n kube-system |grep fluentd fluentd-elasticsearch-d6f6f 0/1 Terminating 0 110m1.4 DaemonSet调度

前面kubernetes系列教程（七）深入玩转pod调度文章介绍了Pod的调度机制，DaemonSet通过kubernetes默认的调度器scheduler会在所有的node节点上运行一个Pod副本，可以通过如下三种方式将Pod运行在部分节点上：

指定nodeName节点运行通过标签运行nodeSelector通过亲和力调度node Affinity和node Anti-affinity

DaemonSet调度算法用于实现将Pod运行在特定的node节点上，如下以通过node affinity亲和力将Pod调度到部分的节点上node-2上为例。

1. 为node添加一个app=web的labels

[root@node-1 happylau]# kubectl get nodes --show-labels NAME STATUS ROLES AGE VERSION LABELS node-1 Ready master 47d v1.15.3 beta.kubernetes.io/arch=amd64,beta.kubernetes.io/os=linux,kubernetes.io/arch=amd64,kubernetes.io/hostname=node-1,kubernetes.io/os=linux,node-role.kubernetes.io/master= node-2 Ready 47d v1.15.3 app=web,beta.kubernetes.io/arch=amd64,beta.kubernetes.io/os=linux,kubernetes.io/arch=amd64,kubernetes.io/hostname=node-2,kubernetes.io/os=linux node-3 Ready 47d v1.15.3 beta.kubernetes.io/arch=amd64,beta.kubernetes.io/os=linux,kubernetes.io/arch=amd64,kubernetes.io/hostname=node-3,kubernetes.io/os=linux

2. 添加node affinity亲和力调度算法，requiredDuringSchedulingIgnoredDuringExecution设置基本需要满足条件，preferredDuringSchedulingIgnoredDuringExecution设置优选满足条件

[root@node-1 happylau]# cat fluentd-es-daemonset.yaml apiVersion: apps/v1 kind: DaemonSet metadata: name: fluentd-elasticsearch namespace: kube-system labels: k8s-app: fluentd-logging spec: selector: matchLabels: name: fluentd-elasticsearch template: metadata: labels: name: fluentd-elasticsearch spec: tolerations: - key: node-role.kubernetes.io/master effect: NoSchedule containers: - name: fluentd-elasticsearch image: quay.io/fluentd_elasticsearch/fluentd:v2.5.2 resources: limits: memory: 200Mi requests: cpu: 100m memory: 200Mi volumeMounts: - name: varlog mountPath: /var/log - name: varlibdockercontainers mountPath: /var/lib/docker/containers readOnly: true affinity: nodeAffinity: preferredDuringSchedulingIgnoredDuringExecution: #优先满足条件 - weight: 1 preference: matchExpressions: - key: app operator: In values: - web requiredDuringSchedulingIgnoredDuringExecution: #要求满足条件 nodeSelectorTerms: - matchExpressions: - key: kubernetes.io/hostname operator: In values: - node-2 - node-3 terminationGracePeriodSeconds: 30 volumes: - name: varlog hostPath: path: /var/log - name: varlibdockercontainers hostPath: path: /var/lib/docker/containers

3. 生成DS，并查看列表

[root@node-1 happylau]# kubectl delete ds -n kube-system fluentd-elasticsearch daemonset.extensions "fluentd-elasticsearch" deleted [root@node-1 happylau]# kubectl get daemonsets -n kube-system fluentd-elasticsearch NAME DESIRED CURRENT READY UP-TO-DATE AVAILABLE NODE SELECTOR AGE fluentd-elasticsearch 1 1 1 1 1 112s

4. 校验Pod运行的情况，DaemonSet的Pod调度到node-2节点上

[root@node-1 happylau]# kubectl get pods -n kube-system -o wide NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES fluentd-elasticsearch-9kngs 1/1 Running 0 2m39s 10.244.1.82 node-2 写在最后

本文介绍了kubernetes中DaemonSet控制器，DS控制器能确保所有的节点运行一个特定的daemon守护进程，此外通过nodeSelector或node Affinity能够实现将Pod调度到特定的node节点。

参考文档

DaemonSet：https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/

当你的才华撑不起你的野心时，你就应该静下心来学习

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关于作者 刘海平（HappyLau ）云计算高级顾问 目前在腾讯云从事公有云相关工作，曾就职于酷狗，EasyStack，拥有多年公有云+私有云计算架构设计，运维，交付相关经验，参与了酷狗，南方电网，国泰君安等大型私有云平台建设，精通Linux，Kubernetes，OpenStack，Ceph等开源技术，在云计算领域具有丰富实战经验，拥有RHCA/OpenStack/Linux授课经验。



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