一. kubeadm init 失敗

報(bào)錯(cuò):

error execution phase preflight: [preflight] Some fatal errors occurred:
	[ERROR ImagePull]: failed to pull image k8s.gcr.io/kube-apiserver:v1.19.3: output: Error response from daemon: Get https://k8s.gcr.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
, error: exit status 1
	[ERROR ImagePull]: failed to pull image k8s.gcr.io/kube-controller-manager:v1.19.3: output: Error response from daemon: Get https://k8s.gcr.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
, error: exit status 1
	[ERROR ImagePull]: failed to pull image k8s.gcr.io/kube-scheduler:v1.19.3: output: Error response from daemon: Get https://k8s.gcr.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
, error: exit status 1
	[ERROR ImagePull]: failed to pull image k8s.gcr.io/kube-proxy:v1.19.3: output: Error response from daemon: Get https://k8s.gcr.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
, error: exit status 1
	[ERROR ImagePull]: failed to pull image k8s.gcr.io/pause:3.2: output: Error response from daemon: Get https://k8s.gcr.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
, error: exit status 1
	[ERROR ImagePull]: failed to pull image k8s.gcr.io/etcd:3.4.13-0: output: Error response from daemon: Get https://k8s.gcr.io/v2/: net/http: request canceled while waiting for connection (Client.Timeout exceeded while awaiting headers)
, error: exit status 1
	[ERROR ImagePull]: failed to pull image k8s.gcr.io/coredns:1.7.0: output: 

二. 原因

因?yàn)閗8s.gcr.io鏡像庫(kù)在國(guó)內(nèi)需要翻墻，所以普通下載無(wú)法成功完成，可以更改一下下載的鏡像庫(kù)地址為國(guó)內(nèi)地址，下載后將標(biāo)簽打回和kubeadm config一致的方法解決。文章來(lái)源地址http://www.zghlxwxcb.cn/news/detail-678003.html

• 更改前查看鏡像地址

[root@master01 opt]# kubeadm config images list
I0825 12:06:37.047523   32435 version.go:252] remote version is much newer: v1.28.1; falling back to: stable-1.19
W0825 12:06:38.260046   32435 configset.go:348] WARNING: kubeadm cannot validate component configs for API groups [kubelet.config.k8s.io kubeproxy.config.k8s.io]
k8s.gcr.io/kube-apiserver:v1.19.16
k8s.gcr.io/kube-controller-manager:v1.19.16
k8s.gcr.io/kube-scheduler:v1.19.16
k8s.gcr.io/kube-proxy:v1.19.16
k8s.gcr.io/pause:3.2
k8s.gcr.io/etcd:3.4.13-0
k8s.gcr.io/coredns:1.7.0

• 更改鏡像基地址

for i in `kubeadm config images list`; do
        imageName=${i#k8s.gcr.io/}
        docker pull registry.aliyuncs.com/google_containers/$imageName
        docker tag registry.aliyuncs.com/google_containers/$imageName k8s.gcr.io/$imageName
        docker rmi registry.aliyuncs.com/google_containers/$imageName
done;

三. 重新執(zhí)行 kubeadm init

[root@mater01 opt]# sudo kubeadm init


Your Kubernetes control-plane has initialized successfully!

To start using your cluster, you need to run the following as a regular user:

  mkdir -p $HOME/.kube
  sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
  sudo chown $(id -u):$(id -g) $HOME/.kube/config

You should now deploy a pod network to the cluster.
Run "kubectl apply -f [podnetwork].yaml" with one of the options listed at:
  https://kubernetes.io/docs/concepts/cluster-administration/addons/

Then you can join any number of worker nodes by running the following on each as root:

kubeadm join 101.16.97.0:6443 --token iplvm8.ex1q0syqg \
    --discovery-token-ca-cert-hash sha256:3266bbdab19c3640d43f486e63dc0a8660de5

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