Kubernetes学习（2）----创建dashboard

6080阅读　0评论2017-08-31　frankzfz
分类：云计算

  在master节点上创建dashboard，在创建dashborad的时候，会在node节点上pull一个kubernetes-dashboard-amd64的镜像，然后在node节点上使用该镜像创建一个container，

1.1 查看namespace 

使用kubectl get namespace命令可以获取到，这个版本的kubernets默认有kube-system的namespace，如果没有的话，可以使用下面的脚本进行创建，

kubernetes-namespace.jason文件的内容如下：

{

  "kind": "Namespace",

  "apiVersion": "v1",

  "metadata": {

    "name": "kube-system"

  }

}

 使用kubectl create -f kubernetes-namespace.jason创建kube-system命名空间。

1.2 dashboard的搭建

1.2.1 dashboard的搭建

创建kubernetes-dashboard.yaml文件，该文件用于创建dashboard。

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  1. cat kubernetes-dashboard.yaml
  2. # Copyright 2015 Google Inc. All Rights Reserved.
  3. #
  4. # Licensed under the Apache License, Version 2.0 (the "License");
  5. # you may not use this file except in compliance with the License.
  6. # You may obtain a copy of the License at
  7. #
  8. # http://www.apache.org/licenses/LICENSE-2.0
  9. #
  10. # Unless required by applicable law or agreed to in writing, software
  11. # distributed under the License is distributed on an "AS IS" BASIS,
  12. # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13. # See the License for the specific language governing permissions and
  14. # limitations under the License.

  16. # Configuration to deploy release version of the Dashboard UI.
  17. #
  18. # Example usage: kubectl create -f <this_file>

  20. kind: Deployment
  21. apiVersion: extensions/v1beta1
  22. metadata:
  23.   labels:
  24.     app: kubernetes-dashboard
  25.     version: v1.1.1
  26.   name: kubernetes-dashboard
  27.   namespace: kube-system
  28. spec:
  29.   replicas: 1
  30.   selector:
  31.     matchLabels:
  32.       app: kubernetes-dashboard
  33.   template:
  34.     metadata:
  35.       labels:
  36.         app: kubernetes-dashboard
  37.     spec:
  38.       containers:
  39.       - name: kubernetes-dashboard
  40.         image: gcr.io/google_containers/kubernetes-dashboard-amd64:v1.6.0
  41.         imagePullPolicy: IfNotPresent
  42.         ports:
  43.         - containerPort: 9090
  44.           protocol: TCP
  45.         args:
  46.           # Uncomment the following line to manually specify Kubernetes API server Host
  47.           # If not specified, Dashboard will attempt to auto discover the API server and connect
  48.           # to it. Uncomment only if the default does not work.
  49.         - --apiserver-host=http://10.9.178.109:8080 ## 请修改为自己的kebu-apiserver
  50.         livenessProbe:
  51.           httpGet:
  52.             path: /
  53.             port: 9090
  54.           initialDelaySeconds: 30
  55.           timeoutSeconds: 30
  56. ---
  57. kind: Service
  58. apiVersion: v1
  59. metadata:
  60.   labels:
  61.     app: kubernetes-dashboard
  62.   name: kubernetes-dashboard
  63.   namespace: kube-system
  64. spec:
  65.   type: NodePort
  66.   ports:
  67.   - port: 80
  68.     targetPort: 9090
  69.   selector:
  70. app: kubernetes-dashboard

上面文件中image: gcr.io/google_containers/kubernetes-dashboard-amd64:v1.6.0 这里使用的从google下载的镜像，生成container，如果被墙了，可以使用国内的镜像库下载后使用，这里使用有两种方法:第一种：下载下来后，配置kubernetes-dashboard.yaml文件中的 images为pull下来的name,第二种：是把下载下来的image docker tag成 gcr.io/google_containers/kubernetes-dashboard-amd64 这样就不需要进行专门的指定。

例如下面的方法：

docker pull registry.cn-hangzhou.aliyuncs.com/google-containers/pause-amd64:3.0

docker tag registry.cn-hangzhou.aliyuncs.com/google-containers/pause-amd64:3.0 gcr.io/google_containers/pause-amd64:3.0

  上面的文件中需要指定- --apiserver-host为master节点的ip地址。

2.2.2 创建kubernetes-dashboard

根据上面的文件使用kubectl create -f kubernetes-dashboard.yaml 命令创建dashboard，

[root@10-9-178-109 k8s]# kubectl create -f kubernetes-dashboard.yaml

deployment "kubernetes-dashboard" created

service "kubernetes-dashboard" created

创建完成后使用kubectl get pod --namespace="kube-system" 查看器状态，

使用kubectl describe pods kubernetes-dashboard-2098749498-w3vl9  --namespace=kube-system命令可以查看运行的状态：


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  1. Name: kubernetes-dashboard-2098749498-w3vl9
  2. Namespace: kube-system
  3. Node: 10.9.106.37/10.9.106.37
  4. Start Time: Mon, 07 Aug 2017 11:09:22 +0800
  5. Labels: app=kubernetes-dashboard
  6.                    pod-template-hash=2098749498
  7. Annotations: kubernetes.io/created-by={"kind":"SerializedReference","apiVersion":"v1","reference":{"kind":"ReplicaSet","namespace":"kube-system","name":"kubernetes-dashboard-2098749498","uid":"cfa92117-7b1d-11e7-a...
  8. Status: Running
  9. IP: 192.168.72.2
  10. Created By: ReplicaSet/kubernetes-dashboard-2098749498
  11. Controlled By: ReplicaSet/kubernetes-dashboard-2098749498
  12. Containers:
  13.   kubernetes-dashboard:
  14.     Container ID: docker://13da640b3958032ae1565fbeed51003f906537206f191f514ac490492d0e9f79
  15.     Image: gcr.io/google_containers/kubernetes-dashboard-amd64:v1.6.0
  16.     Image ID: docker://sha256:416701f962f2f18e393d63e3840f7a3cda6da144e09692ccbf780f7f8bd0ef3f
  17.     Port: 9090/TCP
  18.     Args:
  19.       --apiserver-host=
  20.     State: Running
  21.       Started: Mon, 07 Aug 2017 11:09:23 +0800
  22.     Ready: True
  23.     Restart Count: 0
  24.     Liveness: http-get delay=30s timeout=30s period=10s #success=1 #failure=3
  25.     Environment:
  26.     Mounts:
  27. Conditions:
  28.   Type Status
  29.   Initialized True
  30.   Ready True
  31. PodScheduled True
  32. Volumes:
  33. QoS Class: BestEffort
  34. Node-Selectors:
  35. Tolerations:
  36. Events:
  37.   FirstSeen LastSeen Count From SubObjectPath Type Reason Message
  38.   --------- -------- ----- ---- ------------- -------- ------ -------
  39.   2m 2m 1 default-scheduler Normal Scheduled Successfully assigned kubernetes-dashboard-2098749498-w3vl9 to 10.9.106.37
  40.   2m 2m 1 kubelet, 10.9.106.37 spec.containers{kubernetes-dashboard} Normal Pulled Container image "gcr.io/google_containers/kubernetes-dashboard-amd64:v1.6.0" already present on machine
  41.   2m 2m 1 kubelet, 10.9.106.37 spec.containers{kubernetes-dashboard} Normal Created Created container
  42.   2m 2m 1 kubelet, 10.9.106.37 spec.containers{kubernetes-dashboard} Normal Started Started container
  43.   2m 1m 6 kubelet, 10.9.106.37 Warning MissingClusterDNS kubelet does not have ClusterDNS IP configured and cannot create Pod using "ClusterFirst


创建成功后在node节点，可以看到启动了两个container 


使用kubectl describe service  kubernetes-dashboard  --namespace="kube-system"命令可以查看到node节点的信息，其中192.168.72.2的IP地址为


在node节点上使用gcr.io/google_containers/pause-amd64:3.0镜像 启动的container的ip地址为 192.168.72.2，这个就是基础镜像的ip地址，根据etcd和flanneld分配的，在master的节点上可以ping通这个ip地址，这里其实相当于在两台host上，使用etcd和flanneld搭建了一个跨主机的vxlan的overlay网络。使用pause-amd64镜像生成的container，作为基础镜像，在node节点上其余的container使用docker的 container网络模型共享网络。

在node节点上docker inspect 13da640b3958 可以看到kubernetes-dashboard-amd64的网络模式为container，这里的container的id为 192.178.72.2的container

保证在master节点上能ping通node节点上的pause-amd64生成的container后，可以在浏览器重输入：master public ip + 8080/ui 例如：后，可以出现久违的kubernetes的页面信息。



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