探索云原生技术之容器编排引擎-kubernetes常用的可视化管理工具搭建

摸鱼打酱油2023-10-25 8:37

❤️作者简介：2022新星计划第三季云原生与云计算赛道Top5🏅、华为云享专家🏅、云原生领域潜力新星🏅

💛博客首页：C站个人主页🌞

💗作者目的：如有错误请指正，将来会不断的完善笔记，帮助更多的Java爱好者入门，共同进步！

文章目录

kubernetes常用的可视化管理工具搭建

  • 注意：本次搭建可视化管理工具的kubernetes版本为1.21.10，如果版本过高或过低可能会出错。

第一种：kubernetes（v1.21.10）上安装kubernetes-dashboard（V2.4.0）

配置yaml文件
  • 1：创建配置文件：（也可以使用github上的配置文件，不过要经过修改之后才能使用）
shell 复制代码 
vi recommended.yaml
  • 内容如下：（这里的配置文件是经过我们优化之后的，不是github上原原本本的配置内容）
yaml 复制代码 
# Copyright 2017 The Kubernetes Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

apiVersion: v1
kind: Namespace
metadata:
  name: kubernetes-dashboard

---

apiVersion: v1
kind: ServiceAccount
metadata:
  labels:
    k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard
  namespace: kubernetes-dashboard

---

kind: Service
apiVersion: v1
metadata:
  labels:
    k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard
  namespace: kubernetes-dashboard
spec:
  type: NodePort # 新增内容
  ports:
    - port: 443
      targetPort: 8443
      nodePort: 30010 # 新增内容
  selector:
    k8s-app: kubernetes-dashboard

---

apiVersion: v1
kind: Secret
metadata:
  labels:
    k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard-certs
  namespace: kubernetes-dashboard
type: Opaque

---

apiVersion: v1
kind: Secret
metadata:
  labels:
    k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard-csrf
  namespace: kubernetes-dashboard
type: Opaque
data:
  csrf: ""

---

apiVersion: v1
kind: Secret
metadata:
  labels:
    k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard-key-holder
  namespace: kubernetes-dashboard
type: Opaque

---

kind: ConfigMap
apiVersion: v1
metadata:
  labels:
    k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard-settings
  namespace: kubernetes-dashboard

---

kind: Role
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  labels:
    k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard
  namespace: kubernetes-dashboard
rules:
  # Allow Dashboard to get, update and delete Dashboard exclusive secrets.
  - apiGroups: [""]
    resources: ["secrets"]
    resourceNames: ["kubernetes-dashboard-key-holder", "kubernetes-dashboard-certs", "kubernetes-dashboard-csrf"]
    verbs: ["get", "update", "delete"]
    # Allow Dashboard to get and update 'kubernetes-dashboard-settings' config map.
  - apiGroups: [""]
    resources: ["configmaps"]
    resourceNames: ["kubernetes-dashboard-settings"]
    verbs: ["get", "update"]
    # Allow Dashboard to get metrics.
  - apiGroups: [""]
    resources: ["services"]
    resourceNames: ["heapster", "dashboard-metrics-scraper"]
    verbs: ["proxy"]
  - apiGroups: [""]
    resources: ["services/proxy"]
    resourceNames: ["heapster", "http:heapster:", "https:heapster:", "dashboard-metrics-scraper", "http:dashboard-metrics-scraper"]
    verbs: ["get"]

---

kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  labels:
    k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard
rules:
  # Allow Metrics Scraper to get metrics from the Metrics server
  - apiGroups: ["metrics.k8s.io"]
    resources: ["pods", "nodes"]
    verbs: ["get", "list", "watch"]

---

apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  labels:
    k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard
  namespace: kubernetes-dashboard
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: Role
  name: kubernetes-dashboard
subjects:
  - kind: ServiceAccount
    name: kubernetes-dashboard
    namespace: kubernetes-dashboard

---

apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  name: kubernetes-dashboard
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: kubernetes-dashboard
subjects:
  - kind: ServiceAccount
    name: kubernetes-dashboard
    namespace: kubernetes-dashboard

---

kind: Deployment
apiVersion: apps/v1
metadata:
  labels:
    k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard
  namespace: kubernetes-dashboard
spec:
  replicas: 1
  revisionHistoryLimit: 10
  selector:
    matchLabels:
      k8s-app: kubernetes-dashboard
  template:
    metadata:
      labels:
        k8s-app: kubernetes-dashboard
    spec:
      containers:
        - name: kubernetes-dashboard
          image: kubernetesui/dashboard:v2.4.0
          imagePullPolicy: Always
          ports:
            - containerPort: 8443
              protocol: TCP
          args:
            - --auto-generate-certificates
            - --namespace=kubernetes-dashboard
            # Uncomment the following line to manually specify Kubernetes API server Host
            # If not specified, Dashboard will attempt to auto discover the API server and connect
            # to it. Uncomment only if the default does not work.
            # - --apiserver-host=http://my-address:port
          volumeMounts:
            - name: kubernetes-dashboard-certs
              mountPath: /certs
              # Create on-disk volume to store exec logs
            - mountPath: /tmp
              name: tmp-volume
          livenessProbe:
            httpGet:
              scheme: HTTPS
              path: /
              port: 8443
            initialDelaySeconds: 30
            timeoutSeconds: 30
          securityContext:
            allowPrivilegeEscalation: false
            readOnlyRootFilesystem: true
            runAsUser: 1001
            runAsGroup: 2001
      volumes:
        - name: kubernetes-dashboard-certs
          secret:
            secretName: kubernetes-dashboard-certs
        - name: tmp-volume
          emptyDir: {}
      serviceAccountName: kubernetes-dashboard
      nodeSelector:
        "kubernetes.io/os": linux
      # Comment the following tolerations if Dashboard must not be deployed on master
      tolerations:
        - key: node-role.kubernetes.io/master
          effect: NoSchedule

---

kind: Service
apiVersion: v1
metadata:
  labels:
    k8s-app: dashboard-metrics-scraper
  name: dashboard-metrics-scraper
  namespace: kubernetes-dashboard
spec:
  ports:
    - port: 8000
      targetPort: 8000
  selector:
    k8s-app: dashboard-metrics-scraper

---

kind: Deployment
apiVersion: apps/v1
metadata:
  labels:
    k8s-app: dashboard-metrics-scraper
  name: dashboard-metrics-scraper
  namespace: kubernetes-dashboard
spec:
  replicas: 1
  revisionHistoryLimit: 10
  selector:
    matchLabels:
      k8s-app: dashboard-metrics-scraper
  template:
    metadata:
      labels:
        k8s-app: dashboard-metrics-scraper
    spec:
      securityContext:
        seccompProfile:
          type: RuntimeDefault
      containers:
        - name: dashboard-metrics-scraper
          image: kubernetesui/metrics-scraper:v1.0.7
          ports:
            - containerPort: 8000
              protocol: TCP
          livenessProbe:
            httpGet:
              scheme: HTTP
              path: /
              port: 8000
            initialDelaySeconds: 30
            timeoutSeconds: 30
          volumeMounts:
          - mountPath: /tmp
            name: tmp-volume
          securityContext:
            allowPrivilegeEscalation: false
            readOnlyRootFilesystem: true
            runAsUser: 1001
            runAsGroup: 2001
      serviceAccountName: kubernetes-dashboard
      nodeSelector:
        "kubernetes.io/os": linux
      # Comment the following tolerations if Dashboard must not be deployed on master
      tolerations:
        - key: node-role.kubernetes.io/master
          effect: NoSchedule
      volumes:
        - name: tmp-volume
          emptyDir: {}
  • 2：执行配置文件：
shell 复制代码 
[root@k8s-master ~]# kubectl apply -f recommended.yaml 
namespace/kubernetes-dashboard created
serviceaccount/kubernetes-dashboard created
service/kubernetes-dashboard created
secret/kubernetes-dashboard-certs created
secret/kubernetes-dashboard-csrf created
secret/kubernetes-dashboard-key-holder created
configmap/kubernetes-dashboard-settings created
role.rbac.authorization.k8s.io/kubernetes-dashboard created
clusterrole.rbac.authorization.k8s.io/kubernetes-dashboard created
rolebinding.rbac.authorization.k8s.io/kubernetes-dashboard created
clusterrolebinding.rbac.authorization.k8s.io/kubernetes-dashboard created
deployment.apps/kubernetes-dashboard created
service/dashboard-metrics-scraper created
deployment.apps/dashboard-metrics-scraper created
  • 3：查看namespace为kubernetes-dashboard下的pod和service和deployment：（需要等到dashboard的pod全部处于Running状态）
shell 复制代码 
[root@k8s-master ~]# kubectl get pod,service,deployment -n kubernetes-dashboard
NAME                                            READY   STATUS    RESTARTS   AGE
pod/dashboard-metrics-scraper-c45b7869d-7jnc5   1/1     Running   0          2m14s
pod/kubernetes-dashboard-576cb95f94-spjt9       1/1     Running   0          2m14s

NAME                                TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)         AGE
service/dashboard-metrics-scraper   ClusterIP   10.96.116.190   <none>        8000/TCP        2m14s
service/kubernetes-dashboard        NodePort    10.96.39.222    <none>        443:30010/TCP   2m14s

NAME                                        READY   UP-TO-DATE   AVAILABLE   AGE
deployment.apps/dashboard-metrics-scraper   1/1     1            1           2m14s
deployment.apps/kubernetes-dashboard        1/1     1            1           2m14s
创建账户
  • 1：创建账户：
shell 复制代码 
[root@k8s-master ~]# kubectl create serviceaccount dashboard-admin -n kubernetes-dashboard
serviceaccount/dashboard-admin created
  • 2：分配权限：
shell 复制代码 
[root@k8s-master ~]# kubectl create clusterrolebinding dashboard-admin-rb --clusterrole=cluster-admin --serviceaccount=kubernetes-dashboard:dashboard-admin
clusterrolebinding.rbac.authorization.k8s.io/dashboard-admin-rb created
获取token
  • 1：查询dashboard的secret：
shell 复制代码 
[root@k8s-master ~]# kubectl get secrets -n kubernetes-dashboard | grep dashboard-admin
dashboard-admin-token-nfdvh        kubernetes.io/service-account-token   3      55s
  • 2：根据查询到的dashboard的secrets使用describe命令来查询其Token：（保存token，生产环境token千万要保密）
shell 复制代码 
[root@k8s-master ~]# kubectl describe secrets dashboard-admin-token-nfdvh -n kubernetes-dashboard
Name:         dashboard-admin-token-nfdvh
Namespace:    kubernetes-dashboard
Labels:       <none>
Annotations:  kubernetes.io/service-account.name: dashboard-admin
              kubernetes.io/service-account.uid: 8db8eb4a-72d3-4b86-b5df-6eb4d54d8473

Type:  kubernetes.io/service-account-token

Data
====
ca.crt:     1066 bytes
namespace:  20 bytes
token:      eyJhbGciOiJSUzI1NiIsImtpZCI6InA1TWNFMVAtTHlaeVBZcUlubEhvQ1JHcEctaElMRlJFRGZOTS1uTFo1V3cifQ.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.XkUtUxWnqsqrHT8Nqdb26lY8awcW5bwbjdHmLo3CFSVmdXZgIzgLvHFNVU3WL8hAiNgl-csYDqvQ6cs7BiwgaOZgg691ho-ip1TcJi-uQwEcz-I6P6QFjVc527Rj3TUeVb5QREGQ2CYOf0YAsVZf9l-44ddvIXjlAFeuyIFHicMg2tOsceXbiu6Ha8dNeHWVkABKqCOf3PlbyZNshsWgEpvUAKoiO4bcSSt8twGmYdvE7nGDLYkSYpThFFhFbL3xG5DDINOsksQzsviDjgoIvC2JvECvFVgrDIN1jFkfuPxbePDP6XWnKTXS7fmcLHxmrAF5iBnJPZ0fhnRtGMgNPQ
进入kubernetes-dashboard的可视化界面
  • 1：查询dashboard的service对外暴露的端口：（由于我们在配置文件中指定的端口是30010且不会随着service的改变而改变）
shell 复制代码 
[root@k8s-master ~]# kubectl get service -n kubernetes-dashboard
NAME                        TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)         AGE
dashboard-metrics-scraper   ClusterIP   10.96.116.190   <none>        8000/TCP        3h39m
kubernetes-dashboard        NodePort    10.96.39.222    <none>        443:30010/TCP   3h39m
  • 3：选择Token模式登陆，并将刚刚获取到的token复制到输入框中，点击登陆即可。

第二种：kubernetes（v1.21.10）上安装Kuboard v3（hostPath模式）⭐

安装k8s监控工具metrics-server

metrics-server地址

k8s与metrics-server版本的对应关系
  • k8s和metrics-server的版本一定要符合下面的对应关系：（截止到2022/7/4日，目前metrics-server最新版为0.6.X。）
Metrics-Server version Supported k8s version
0.6.x 1.19+
0.5.x *1.8+
0.4.x *1.8+
0.3.x 1.8-1.21
在Master节点安装监控工具metrics-server(v0.6.1)
  • 1：创建配置文件：
shell 复制代码 
vi k8s-metrics.yaml
  • 内容如下：
yaml 复制代码 
apiVersion: v1
kind: ServiceAccount
metadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server
  namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  labels:
    k8s-app: metrics-server
    rbac.authorization.k8s.io/aggregate-to-admin: "true"
    rbac.authorization.k8s.io/aggregate-to-edit: "true"
    rbac.authorization.k8s.io/aggregate-to-view: "true"
  name: system:aggregated-metrics-reader
rules:
- apiGroups:
  - metrics.k8s.io
  resources:
  - pods
  - nodes
  verbs:
  - get
  - list
  - watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  labels:
    k8s-app: metrics-server
  name: system:metrics-server
rules:
- apiGroups:
  - ""
  resources:
  - nodes/metrics
  verbs:
  - get
- apiGroups:
  - ""
  resources:
  - pods
  - nodes
  verbs:
  - get
  - list
  - watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server-auth-reader
  namespace: kube-system
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: Role
  name: extension-apiserver-authentication-reader
subjects:
- kind: ServiceAccount
  name: metrics-server
  namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server:system:auth-delegator
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: system:auth-delegator
subjects:
- kind: ServiceAccount
  name: metrics-server
  namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  labels:
    k8s-app: metrics-server
  name: system:metrics-server
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: system:metrics-server
subjects:
- kind: ServiceAccount
  name: metrics-server
  namespace: kube-system
---
apiVersion: v1
kind: Service
metadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server
  namespace: kube-system
spec:
  ports:
  - name: https
    port: 443
    protocol: TCP
    targetPort: https
  selector:
    k8s-app: metrics-server
---
apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server
  namespace: kube-system
spec:
  selector:
    matchLabels:
      k8s-app: metrics-server
  strategy:
    rollingUpdate:
      maxUnavailable: 0
  template:
    metadata:
      labels:
        k8s-app: metrics-server
    spec:
      containers:
      - args:
        - --cert-dir=/tmp
        - --secure-port=4443
        - --kubelet-preferred-address-types=InternalIP,ExternalIP,Hostname
        - --kubelet-use-node-status-port
        - --metric-resolution=15s
        - --kubelet-insecure-tls # 使用非安全的协议
        image: bitnami/metrics-server:0.6.1   # k8s.gcr.io/metrics-server/metrics-server:v0.6.1
        imagePullPolicy: IfNotPresent
        livenessProbe:
          failureThreshold: 3
          httpGet:
            path: /livez
            port: https
            scheme: HTTPS
          periodSeconds: 10
        name: metrics-server
        ports:
        - containerPort: 4443
          name: https
          protocol: TCP
        readinessProbe:
          failureThreshold: 3
          httpGet:
            path: /readyz
            port: https
            scheme: HTTPS
          initialDelaySeconds: 20
          periodSeconds: 10
        resources:
          requests:
            cpu: 100m
            memory: 200Mi
        securityContext:
          allowPrivilegeEscalation: false
          readOnlyRootFilesystem: true
          runAsNonRoot: true
          runAsUser: 1000
        volumeMounts:
        - mountPath: /tmp
          name: tmp-dir
      nodeSelector:
        kubernetes.io/os: linux
      priorityClassName: system-cluster-critical
      serviceAccountName: metrics-server
      volumes:
      - emptyDir: {}
        name: tmp-dir
---
apiVersion: apiregistration.k8s.io/v1
kind: APIService
metadata:
  labels:
    k8s-app: metrics-server
  name: v1beta1.metrics.k8s.io
spec:
  group: metrics.k8s.io
  groupPriorityMinimum: 100
  insecureSkipTLSVerify: true
  service:
    name: metrics-server
    namespace: kube-system
  version: v1beta1
  versionPriority: 100
  • 2：执行配置文件：
shell 复制代码 
[root@k8s-master ~]# kubectl apply -f k8s-metrics.yaml
serviceaccount/metrics-server created
clusterrole.rbac.authorization.k8s.io/system:aggregated-metrics-reader created
clusterrole.rbac.authorization.k8s.io/system:metrics-server created
rolebinding.rbac.authorization.k8s.io/metrics-server-auth-reader created
clusterrolebinding.rbac.authorization.k8s.io/metrics-server:system:auth-delegator created
clusterrolebinding.rbac.authorization.k8s.io/system:metrics-server created
service/metrics-server created
deployment.apps/metrics-server created
apiservice.apiregistration.k8s.io/v1beta1.metrics.k8s.io created
  • 3：等待一会再检查是否安装成功：（安装成功）
shell 复制代码 
[root@k8s-master ~]# kubectl top nodes --use-protocol-buffers
NAME          CPU(cores)   CPU%   MEMORY(bytes)   MEMORY%   
k8s-master    242m         12%    1130Mi          61%       
k8s-slave01   140m         7%     896Mi           48%       
k8s-slave02   126m         6%     787Mi           42%
使用 hostPath 模式提供持久化⭐
  • 1：创建文件夹：
shell 复制代码 
mkdir kuboard && cd kuboard
  • 2：拉取配置文件：
shell 复制代码 
wget https://addons.kuboard.cn/kuboard/kuboard-v3.yaml
  • 3：执行配置文件：
shell 复制代码 
[root@k8s-master kuboard]# kubectl apply -f kuboard-v3.yaml 
namespace/kuboard created
configmap/kuboard-v3-config created
serviceaccount/kuboard-boostrap created
clusterrolebinding.rbac.authorization.k8s.io/kuboard-boostrap-crb created
daemonset.apps/kuboard-etcd created
deployment.apps/kuboard-v3 created
service/kuboard-v3 created
  • 4：等待 Kuboard v3安装成功。
    • 何为成功？
      • 就是pods和我们下面的一样，并且全部处于Running状态
shell 复制代码 
[root@k8s-master kuboard]# kubectl get pods -n kuboard
NAME                               READY   STATUS    RESTARTS   AGE
kuboard-agent-2-7776757c59-wfmdw   1/1     Running   0          2m2s
kuboard-agent-649bfbb7f9-kxs64     1/1     Running   0          2m2s
kuboard-etcd-cwgkl                 1/1     Running   0          4m
kuboard-questdb-5c94d4698-vgkm9    1/1     Running   0          2m2s
kuboard-v3-5fc46b5557-n6vr6        1/1     Running   0          4m

注意：如果安装的pods和我上面不一样的话，就说明出错了，可以看后面的解决方案！

访问 Kuboard管理界面

  • 在浏览器中打开链接 http://你的节点ip地址:30080（我们访问的是192.168.184.100:30080）

  • 输入初始用户名和密码，并登录：

    • 用户名： admin
    • 密码： Kuboard123
登录页/首页


实战（详细图解）⭐

案例过程：

1：利用kuboard创建一个Deployment（nginx:1.19）和Service（并且可以在集群外访问的到，端口为31011）。

2：使用kuboard对Deployment进行扩缩容和开启动态扩缩容（HPA）。

3：再利用kuboard对这个Deployment进行升级到（nginx:1.22）。

4：浏览器访问这个Service。（ip+31011）。









修改kuboard密码
卸载Kuboard v3（谨慎使用）
  • 1：删除配置文件：
shell 复制代码 
kubectl delete -f https://addons.kuboard.cn/kuboard/kuboard-v3.yaml
  • 2：清理遗留数据。在 master 节点以及带有 k8s.kuboard.cn/role=etcd 标签的节点上执行
shell 复制代码 
rm -rf /usr/share/kuboard
安装kuboard常见错误

CrashLoopBackOff：

  • kuboard-v3-xxxxx 的容器出现 CrashLoopBackOff 的状态，可能的原因有：
    • 缺少 kuboard-etcd-xxxx 容器，请查看本章节后面关于 缺少 Master Role 的描述;
    • kuboard-etcd-xxxx 容器未就绪，请查看 kuboard-etcd-xxxx 容器的日志，解决其不能启动的问题；
  • kuboard-agent-xxxxx 出现 CrashLoopBackOff 的状态，可能的原因有：
    • 其依赖的 kuboard-v3 尚未就绪，请耐心等候一会儿即可（根据您的服务器下载镜像速度的不同，大约 3-5 分钟）；
    • kuboard-v3 已经处于 READY （1/1）状态，但是集群的网络插件配置错误或者其他的网络因素，导致 kuboard-agent 的容器不能访问到 kuboard-v3 的容器；

缺少 Master Role：

  • 可能缺少 Master Role 的情况有：

    • 当您在 阿里云、腾讯云（以及其他云）托管 的 K8S 集群中以此方式安装 Kuboard 时，您执行 kubectl get nodes 将 看不到 master 节点；

    • 当您的集群是通过二进制方式安装时，您的集群中可能缺少 Master Role，或者当您删除了 Master 节点的node-role.kubernetes.io/master=标签时，此时执行

      kubectl get nodes

      ，结果如下所示：

      sh 复制代码 
      [root@k8s-19-master-01 ~]# kubectl get nodes
NAME               STATUS   ROLES    AGE   VERSION
k8s-19-master-01   Ready    <none>   19d   v1.19.11
k8s-19-node-01     Ready    <none>   19d   v1.19.11
k8s-19-node-02     Ready    <none>   19d   v1.19.11
k8s-19-node-03     Ready    <none>   19d   v1.19.11

  • 在集群中缺少 Master Role 节点时，您也可以为一个或者三个 worker 节点添加k8s.kuboard.cn/role=etcd的标签，来增加 kuboard-etcd 的实例数量；

    • 执行如下指令，可以为your-node-name节点添加所需要的标签

      sh 复制代码 
      kubectl label nodes your-node-name k8s.kuboard.cn/role=etcd

etcd：

  • Kuboard V3 依赖于 etcd 提供数据的持久化服务，在当前的安装方式下，kuboard-etcd 的存储卷被映射到宿主机节点的 hostPath (/usr/share/kuboard/etcd 目录)；
  • 为了确保每次重启，etcd 能够加载到原来的数据，以 DaemonSet 的形式部署 kuboard-etcd，并且其容器组将始终被调度到 master 节点，因此，您有多少个 master 节点，就会调度多少个 kuboard-etcd 的实例；
  • 某些情况下，您的 master 节点只有一个或者两个，却仍然想要保证 kubuoard-etcd 的高可用，此时，您可以通过为一到两个 worker 节点添加k8s.kuboard.cn/role=etcd的标签，来增加 kuboard-etcd 的实例数量；
    • 如果您已经安装了 Kuboard V3，通过此方式调整 etcd 数量时，需要按照如下步骤执行，否则 etcd 将不能正常启动：
      1. 执行 kubectl delete daemonset kuboard-etcd -n kuboard
      2. 为节点添加标签
      3. 执行 kubectl apply -f https://addons.kuboard.cn/kuboard/kuboard-v3.yaml
  • 建议 etcd 部署的数量为 奇数
相关推荐
NiNg_1_23441 分钟前
使用Docker Compose一键部署
运维·docker·容器
FLGB42 分钟前
Flink 与 Kubernetes (K8s)、YARN 和 Mesos集成对比
大数据·flink·kubernetes
萠哥啥都行1 小时前
Linux安装Docker以及Docker入门操作
运维·docker·容器
王哲晓1 小时前
Linux通过yum安装Docker
java·linux·docker
小江湖19941 小时前
元数据保护者，Caesium压缩不丢重要信息
运维·学习·软件需求·改行学it
gopher95111 小时前
linux驱动开发-中断子系统
linux·运维·驱动开发
汀、人工智能2 小时前
修改Docker默认存储路径，解决系统盘占用90%+问题(修改docker root dir)
docker·容器
吃面不喝汤662 小时前
如何配置和使用自己的私有 Docker Registry
运维·docker·容器
Rookie_explorers2 小时前
Linux下go环境安装、环境配置并执行第一个go程序
linux·运维·golang
学习向前冲2 小时前
AD域控服务器
运维·服务器
热门推荐
01RAG 实践- Ollama+RagFlow 部署本地知识库02组基轨迹建模 GBTM的介绍与实现（Stata 或 R）032024年高教社杯数学建模国赛C题超详细解题思路分析04苍穹外卖面试总结05yolov8实战第五天——yolov8+ffmpg实时视频流检测并进行实时推流——（推流，保姆教学）06【2024数模国赛赛题思路公开】国赛B题思路丨附可运行代码丨无偿自提07Coze扣子平台完整体验和实践（附国内和国际版对比）08CCF-CSP认证考试 202406-3 文本分词 100分题解09【2024高教社杯全国大学生数学建模竞赛】B题 生产过程中的决策问题——解题思路 代码 论文10借助 LocatorJS ，快速定位本地代码