国内不fq安装K8S三: 使用helm安装kubernet-dashboard

目录

• 3 使用helm安装kubernet-dashboard
  • 3.1 Helm的安装
  • 3.2 使用Helm部署Nginx Ingress
  • 3.3 使用Helm部署dashboard
  • 3.4 使用Helm部署metrics-server

国内不fq安装K8S一: 安装docker

国内不fq安装K8S二: 安装kubernet

国内不fq安装K8S三: 使用helm安装kubernet-dashboard

国内不fq安装K8S四: 安装过程中遇到的问题和解决方法

本文是按照"青蛙小白"的博客一步一步执行的：(全程无问题)

https://blog.frognew.com/2019/07/kubeadm-install-kubernetes-1.15.html

3 使用helm安装kubernet-dashboard

3.1 Helm的安装

$ curl -O https://get.helm.sh/helm-v2.14.1-linux-amd64.tar.gz
$ tar -zxvf helm-v2.14.1-linux-amd64.tar.gz
$ cd linux-amd64/
$ cp helm /usr/local/bin/

创建helm-rbac.yaml文件：

apiVersion: v1
kind: ServiceAccount
metadata:
  name: tiller
  namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
  name: tiller
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: cluster-admin
subjects:
  - kind: ServiceAccount
    name: tiller
    namespace: kube-system

创建tiller使用的service account: tiller并分配合适的角色给它

$ kubectl create -f helm-rbac.yaml
serviceaccount/tiller created
clusterrolebinding.rbac.authorization.k8s.io/tiller created

使用helm部署tiller:

helm init --service-account tiller --skip-refresh
Creating /root/.helm
Creating /root/.helm/repository
Creating /root/.helm/repository/cache
Creating /root/.helm/repository/local
Creating /root/.helm/plugins
Creating /root/.helm/starters
Creating /root/.helm/cache/archive
Creating /root/.helm/repository/repositories.yaml
Adding stable repo with URL: https://kubernetes-charts.storage.googleapis.com
Adding local repo with URL: http://127.0.0.1:8879/charts
$HELM_HOME has been configured at /root/.helm.

Tiller (the Helm server-side component) has been installed into your Kubernetes Cluster.

Please note: by default, Tiller is deployed with an insecure 'allow unauthenticated users' policy.
To prevent this, run `helm init` with the --tiller-tls-verify flag.
For more information on securing your installation see: https://docs.helm.sh/using_helm/#securing-your-helm-installation
Happy Helming!

tiller默认被部署在k8s集群中的kube-system这个namespace下：

kubectl get pod -n kube-system -l app=helm
NAME                            READY   STATUS    RESTARTS   AGE
tiller-deploy-c4fd4cd68-dwkhv   1/1     Running   0          83s
helm version
Client: &version.Version{SemVer:"v2.14.1", GitCommit:"5270352a09c7e8b6e8c9593002a73535276507c0", GitTreeState:"clean"}
Server: &version.Version{SemVer:"v2.14.1", GitCommit:"5270352a09c7e8b6e8c9593002a73535276507c0", GitTreeState:"clean"}

注意由于某些原因需要网络可以访问gcr.io和kubernetes-charts.storage.googleapis.com，如果无法访问可以通过helm init --service-account tiller --tiller-image /tiller:v2.13.1 --skip-refresh使用私有镜像仓库中的tiller镜像,如：

helm init --service-account tiller --tiller-image gcr.azk8s.cn/kubernetes-helm/tiller:v2.14.1 --skip-refresh

如果错过了怎么办？可以用"kubectl edit deployment tiller-deploy -n kube-system"修改默认的gcr源即可,其他gcr源同理。

最后在node1上修改helm chart仓库的地址为azure提供的镜像地址：

helm repo add stable http://mirror.azure.cn/kubernetes/charts
"stable" has been added to your repositories

helm repo list
NAME  	URL
stable	http://mirror.azure.cn/kubernetes/charts
local 	http://127.0.0.1:8879/charts

3.2 使用Helm部署Nginx Ingress

我们将kub1(192.168.15.174)做为边缘节点，打上Label：

$ kubectl label node kub1 node-role.kubernetes.io/edge=
node/kub1 labeled
$ kubectl get node
NAME   STATUS   ROLES         AGE     VERSION
kub1   Ready    edge,master   6h43m   v1.15.2
kub2   Ready    <none>        6h36m   v1.15.2

stable/nginx-ingress chart的值文件ingress-nginx.yaml如下：

controller:
  replicaCount: 1
  hostNetwork: true
  nodeSelector:
    node-role.kubernetes.io/edge: ''
  affinity:
    podAntiAffinity:
        requiredDuringSchedulingIgnoredDuringExecution:
        - labelSelector:
            matchExpressions:
            - key: app
              operator: In
              values:
              - nginx-ingress
            - key: component
              operator: In
              values:
              - controller
          topologyKey: kubernetes.io/hostname
  tolerations:
      - key: node-role.kubernetes.io/master
        operator: Exists
        effect: NoSchedule
      - key: node-role.kubernetes.io/master
        operator: Exists
        effect: PreferNoSchedule
defaultBackend:
  nodeSelector:
    node-role.kubernetes.io/edge: ''
  tolerations:
      - key: node-role.kubernetes.io/master
        operator: Exists
        effect: NoSchedule
      - key: node-role.kubernetes.io/master
        operator: Exists
        effect: PreferNoSchedule

安装nginx-ingress

$ helm repo update
$ helm install stable/nginx-ingress \
-n nginx-ingress \
--namespace ingress-nginx  \
-f ingress-nginx.yaml

如果访问http://192.168.15.174返回default backend，则部署完成。

如果backend的pod找不到image和上面处理tiller没image的方法一样,不再多说。

3.3 使用Helm部署dashboard

kubernetes-dashboard.yaml：

image:
  repository: k8s.gcr.io/kubernetes-dashboard-amd64
  tag: v1.10.1
ingress:
  enabled: true
  hosts:
    - k8s.frognew.com
  annotations:
    nginx.ingress.kubernetes.io/ssl-redirect: "true"
    nginx.ingress.kubernetes.io/backend-protocol: "HTTPS"
  tls:
    - secretName: frognew-com-tls-secret
      hosts:
      - k8s.frognew.com
nodeSelector:
    node-role.kubernetes.io/edge: ''
tolerations:
    - key: node-role.kubernetes.io/master
      operator: Exists
      effect: NoSchedule
    - key: node-role.kubernetes.io/master
      operator: Exists
      effect: PreferNoSchedule
rbac:
  clusterAdminRole: true

注意上面有hosts选项，因为我是在局域网里测试的,所以直接把两处hosts选项删掉,install之后使用IP访问是一样的。

$ helm install stable/kubernetes-dashboard \
-n kubernetes-dashboard \
--namespace kube-system  \
-f kubernetes-dashboard.yaml

$ kubectl -n kube-system get secret | grep kubernetes-dashboard-token
kubernetes-dashboard-token-5d5b2                 kubernetes.io/service-account-token   3      4h24m
$ kubectl describe -n kube-system secret/kubernetes-dashboard-token-5d5b2
Name:         kubernetes-dashboard-token-5d5b2
Namespace:    kube-system
Labels:       <none>
Annotations:  kubernetes.io/service-account.name: kubernetes-dashboard
              kubernetes.io/service-account.uid: 82c89647-1a1c-450f-b2bb-8753de12f104

Type:  kubernetes.io/service-account-token

Data
====
ca.crt:     1025 bytes
namespace:  11 bytes
token:      eyJhbGciOiJSUzI1NiIsImtpZCI6IiJ9.eyJpc3MiOiJrdWJlcm5ldGVzL3NlcnZpY2VhY2NvdW50Iiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9uYW1lc3BhY2UiOiJrdWJlLXN5c3RlbSIsImt1YmVybmV0ZXMuaW8vc2VydmljZWFjY291bnQvc2VjcmV0Lm5hbWUiOiJrdWJlcm5ldGVzLWRhc2hib2FyZC10b2tlbi01ZDViMiIsImt1YmVybmV0ZXMuaW8vc2VydmljZWFjY291bnQvc2VydmljZS1hY2NvdW50Lm5hbWUiOiJrdWJlcm5ldGVzLWRhc2hib2FyZCIsImt1YmVybmV0ZXMuaW8vc2VydmljZWFjY291bnQvc2VydmljZS1hY2NvdW50LnVpZCI6IjgyYzg5NjQ3LTFhMWMtNDUwZi1iMmJiLTg3NTNkZTEyZjEwNCIsInN1YiI6InN5c3RlbTpzZXJ2aWNlYWNjb3VudDprdWJlLXN5c3RlbTprdWJlcm5ldGVzLWRhc2hib2FyZCJ9.UF2Fnq-SnqM3oAIwJFvXsW64SAFstfHiagbLoK98jWuyWDPoYyPQvdB1elRsJ8VWSzAyTyvNw2MD9EgzfDdd9_56yWGNmf4Jb6prbA43PE2QQHW69kLiA6seP5JT9t4V_zpjnhpGt0-hSfoPvkS4aUnJBllldCunRGYrxXq699UDt1ah4kAmq5MqhH9l_9jMtcPwgpsibBgJY-OD8vElITv63fP4M16DFtvig9u0EnIwhAGILzdLSkfwBJzLvC_ukii_2A9e-v2OZBlTXYgNQ1MnS7CvU8mu_Ycoxqs0r1kZ4MjlNOUOt6XFjaN8BlPwfEPf2VNx0b1ZgZv-euQQtA

在dashboard的登录窗口使用上面的token登录。

访问地址:https://192.168.15.174然后选择token方式登录，然后用把上面的token粘贴进去即可。

3.4 使用Helm部署metrics-server

metrics-server.yaml:

args:
- --logtostderr
- --kubelet-insecure-tls
- --kubelet-preferred-address-types=InternalIP
nodeSelector:
    node-role.kubernetes.io/edge: ''
tolerations:
    - key: node-role.kubernetes.io/master
      operator: Exists
      effect: NoSchedule
    - key: node-role.kubernetes.io/master
      operator: Exists
      effect: PreferNoSchedule

$ helm install stable/metrics-server \
-n metrics-server \
--namespace kube-system \
-f metrics-server.yaml

使用命令获取到关于集群节点基本的指标信息：

$ kubectl top node
NAME   CPU(cores)   CPU%   MEMORY(bytes)   MEMORY%
kub1   433m         5%     2903Mi          37%
kub2   101m         1%     1446Mi          18%
$ kubectl top pod -n kube-system
NAME                                    CPU(cores)   MEMORY(bytes)
coredns-5c98db65d4-7n4gm                7m           14Mi
coredns-5c98db65d4-s5zfr                7m           14Mi
etcd-kub1                               49m          72Mi
kube-apiserver-kub1                     61m          219Mi
kube-controller-manager-kub1            36m          47Mi
kube-flannel-ds-amd64-mssbt             5m           17Mi
kube-flannel-ds-amd64-pb4dz             5m           15Mi
kube-proxy-hc4kh                        1m           17Mi
kube-proxy-rp4cx                        1m           18Mi
kube-scheduler-kub1                     3m           15Mi
kubernetes-dashboard-77f9fd6985-ctwmc   1m           23Mi
metrics-server-75bfbbbf76-6blkn         4m           17Mi
tiller-deploy-7dd9d8cd47-ztl7w          1m           12Mi