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文章目录
-
- kubernetes常用的可视化管理工具搭建
-
- 第一种:kubernetes(v1.21.10)上安装kubernetes-dashboard(V2.4.0)
- [第二种:kubernetes(v1.21.10)上安装Kuboard v3(hostPath模式)⭐](#第二种:kubernetes(v1.21.10)上安装Kuboard v3(hostPath模式)⭐)
-
- 安装k8s监控工具metrics-server
- [使用 hostPath 模式提供持久化⭐](#使用 hostPath 模式提供持久化⭐)
- [访问 Kuboard管理界面](#访问 Kuboard管理界面)
- [卸载Kuboard v3(谨慎使用)](#卸载Kuboard v3(谨慎使用))
- 安装kuboard常见错误
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)
- kubernetes-dashboardV2.4.0版本对应
- 注意:kubernetes-dashboardV2.4.0对应的kubernetes版本为1.20或者1.21,其余版本可能未适配。
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
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
# 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
[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
[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
[root@k8s-master ~]# kubectl create serviceaccount dashboard-admin -n kubernetes-dashboard
serviceaccount/dashboard-admin created
- 2:分配权限:
shell
[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
[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
[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
[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
- 2:使用浏览器访问30010端口:
- 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
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
vi k8s-metrics.yaml
- 内容如下:
yaml
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
[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
[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
mkdir kuboard && cd kuboard
- 2:拉取配置文件:
shell
wget https://addons.kuboard.cn/kuboard/kuboard-v3.yaml
- 3:执行配置文件:
shell
[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
- 何为成功?
shell
[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
- 用户名:
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
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
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[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
shkubectl 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:
- 执行
kubectl delete daemonset kuboard-etcd -n kuboard
- 为节点添加标签
- 执行
kubectl apply -f https://addons.kuboard.cn/kuboard/kuboard-v3.yaml
- 建议 etcd 部署的数量为 奇数