kubernetes 集群搭建

内容来源：https://study.163.com/course/courseMain.htm?courseId=1209568805

安装所需资源

　　软路由：https://pan.baidu.com/s/1On6h4IReUdzn6kOXImQHJg  提取码：vkcu

　　kubernetes资源：https://pan.baidu.com/s/1jbBzp-MpoBnFoPcngFE0uA 提取码：okte

　　Harbor安装资源：https://pan.baidu.com/s/1woBnOGII6nEnTOmnLQuFhA 提取码：toh7

安装教程汪洋老师讲的都比较详细，安装文档上面资源文档中也有，此处就不写了。

安装虚拟机的时候 CPU 最好设置 大于等于 4核 内存如果不够设置小点应该也是没影响的，我这边设置的是2G 

 

遇到的问题

由于无法 kexue上网（FQ），在最后一步部署网络的时候会无法下载 flannel-v0.12.0-amd64 docker镜像 会出现以下问题：

[root@k8s-master01 flannel]# kubectl create -f kube-flannel.yml 
podsecuritypolicy.policy/psp.flannel.unprivileged created
clusterrole.rbac.authorization.k8s.io/flannel created
clusterrolebinding.rbac.authorization.k8s.io/flannel created
serviceaccount/flannel created
configmap/kube-flannel-cfg created
daemonset.apps/kube-flannel-ds-amd64 created
daemonset.apps/kube-flannel-ds-arm64 created
daemonset.apps/kube-flannel-ds-arm created
daemonset.apps/kube-flannel-ds-ppc64le created
daemonset.apps/kube-flannel-ds-s390x created
[root@k8s-master01 flannel]# 
[root@k8s-master01 flannel]# 
[root@k8s-master01 flannel]# kubectl get pod -n kube-system
NAME                                   READY   STATUS     RESTARTS   AGE
coredns-5c98db65d4-2hfsb               0/1     Pending    0          3h42m
coredns-5c98db65d4-xwpht               0/1     Pending    0          3h42m
etcd-k8s-master01                      1/1     Running    0          3h42m
kube-apiserver-k8s-master01            1/1     Running    0          3h42m
kube-controller-manager-k8s-master01   1/1     Running    0          3h41m
kube-flannel-ds-amd64-7bcll            0/1     Init:0/1   0          10s
kube-proxy-dd9pl                       1/1     Running    0          3h42m
kube-scheduler-k8s-master01            1/1     Running    0          3h41m

 

使用命令 kubectl describe pod kube-flannel-ds-amd64-7bcll -n kube-system 查看问题描述：

[root@k8s-master01 flannel]# kubectl describe pod kube-flannel-ds-amd64-7bcll -n kube-system
Name:           kube-flannel-ds-amd64-7bcll
Namespace:      kube-system
Priority:       0
Node:           k8s-master01/192.168.66.10
Start Time:     Fri, 27 Mar 2020 00:31:28 +0800
Labels:         app=flannel
                controller-revision-hash=6855c75b9
                pod-template-generation=1
                tier=node
Annotations:    <none>
Status:         Pending
IP:             192.168.66.10
Controlled By:  DaemonSet/kube-flannel-ds-amd64
Init Containers:
  install-cni:
    Container ID:  
    Image:         quay.io/coreos/flannel:v0.12.0-amd64
    Image ID:      
    Port:          <none>
    Host Port:     <none>
    Command:
      cp
    Args:
      -f
      /etc/kube-flannel/cni-conf.json
      /etc/cni/net.d/10-flannel.conflist
    State:          Waiting
      Reason:       PodInitializing
    Ready:          False
    Restart Count:  0
    Environment:    <none>
    Mounts:
      /etc/cni/net.d from cni (rw)
      /etc/kube-flannel/ from flannel-cfg (rw)
      /var/run/secrets/kubernetes.io/serviceaccount from flannel-token-rztlx (ro)
Containers:
  kube-flannel:
    Container ID:  
    Image:         quay.io/coreos/flannel:v0.12.0-amd64
    Image ID:      
    Port:          <none>
    Host Port:     <none>
    Command:
      /opt/bin/flanneld
    Args:
      --ip-masq
      --kube-subnet-mgr
    State:          Waiting
      Reason:       PodInitializing
    Ready:          False
    Restart Count:  0
    Limits:
      cpu:     100m
      memory:  50Mi
    Requests:
      cpu:     100m
      memory:  50Mi
    Environment:
      POD_NAME:       kube-flannel-ds-amd64-7bcll (v1:metadata.name)
      POD_NAMESPACE:  kube-system (v1:metadata.namespace)
    Mounts:
      /etc/kube-flannel/ from flannel-cfg (rw)
      /run/flannel from run (rw)
      /var/run/secrets/kubernetes.io/serviceaccount from flannel-token-rztlx (ro)
Conditions:
  Type              Status
  Initialized       False 
  Ready             False 
  ContainersReady   False 
  PodScheduled      True 
Volumes:
  run:
    Type:          HostPath (bare host directory volume)
    Path:          /run/flannel
    HostPathType:  
  cni:
    Type:          HostPath (bare host directory volume)
    Path:          /etc/cni/net.d
    HostPathType:  
  flannel-cfg:
    Type:      ConfigMap (a volume populated by a ConfigMap)
    Name:      kube-flannel-cfg
    Optional:  false
  flannel-token-rztlx:
    Type:        Secret (a volume populated by a Secret)
    SecretName:  flannel-token-rztlx
    Optional:    false
QoS Class:       Guaranteed
Node-Selectors:  <none>
Tolerations:     :NoSchedule
                 node.kubernetes.io/disk-pressure:NoSchedule
                 node.kubernetes.io/memory-pressure:NoSchedule
                 node.kubernetes.io/network-unavailable:NoSchedule
                 node.kubernetes.io/not-ready:NoExecute
                 node.kubernetes.io/pid-pressure:NoSchedule
                 node.kubernetes.io/unreachable:NoExecute
                 node.kubernetes.io/unschedulable:NoSchedule
Events:
  Type    Reason     Age   From                   Message
  ----    ------     ----  ----                   -------
  Normal  Scheduled  51s   default-scheduler      Successfully assigned kube-system/kube-flannel-ds-amd64-7bcll to k8s-master01
  Normal  Pulling    50s   kubelet, k8s-master01  Pulling image "quay.io/coreos/flannel:v0.12.0-amd64"

 

解决办法

由于我无法 kexue上网（FQ），于是通过公司公网服务先将此镜像拉取下来，然后再导出来，最后再将导出的镜像导入到自己的内网服务中 3台机器都导一下

#拉取镜像
docker pull quay.io/coreos/flannel:v0.12.0-amd64

#导出镜像
docker image save -o flannel-v0.12.0-amd64.tar quay.io/coreos/flannel:v0.12.0-amd64

#将导出的镜像下载，然后上传到自己的内网服务
 ....

#将镜像导入到docker
docker load -i flannel-v0.12.0-amd64.tar

如果没有公网服务上面资源包中也提供了次镜像，名为：flannel-v0.12.0-amd64.tar

 

以上执行完成之后 删除先前创建的 kube-flannel 然后从新创建就好了

#查看没有运行成功的 kube-flannel-ds-amd64-7bcll 是否存在
kubectl get pod -n kube-system

#删除 kube-flannel-ds-amd64-7bcll
kubectl delete -f kube-flannel.yml

#重新创建 kube-flannel-ds-amd64-7bcll
kubectl create -f kube-flannel.yml

#再次执行
kubectl get pod -n kube-system

#查看 node 状态
kubectl get node

 

如果初始化的时候默认加载的内核不是4.4可以查看一下教程：

https://www.cnblogs.com/Wolf-Dreams/p/10947799.html