kubeadm是Kubernetes官方提供的用于快速安装Kubernetes集群的工具，伴随Kubernetes每个版本的发布都会同步更新，kubeadm会对集群配置方面的一些实践做调整，通过实验kubeadm可以学习到Kubernetes官方在集群配置上一些新的最佳实践。
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1.准备
1.1系统配置
[root@k8s-master ~]# cat /etc/hosts
127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4
::1 localhost localhost.localdomain localhost6 localhost6.localdomain6
192.168.0.246 k8s-master
192.168.0.247 k8s-node1
192.168.0.248 k8s-node2
如果各个主机启用了防火墙，需要开放Kubernetes各个组件所需要的端口，可以查看Installing kubeadm中的”Check required ports”一节。 这里简单起见在各节点禁用防火墙：
systemctl stop firewalld
systemctl disable firewalld
禁用SELINUX：
setenforce 0
vi /etc/selinux/config
SELINUX=disabled
创建/etc/sysctl.d/k8s.conf文件，添加如下内容：
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward = 1
执行命令使修改生效。
modprobe br_netfilter
sysctl -p /etc/sysctl.d/k8s.conf
1.2kube-proxy开启ipvs的前置条件
由于ipvs已经加入到了内核的主干，所以为kube-proxy开启ipvs的前提需要加载以下的内核模块：
ip_vs
ip_vs_rr
ip_vs_wrr
ip_vs_sh
nf_conntrack_ipv4
在所有的Kubernetes节点node1和node2上执行以下脚本:
cat > /etc/sysconfig/modules/ipvs.modules <
chmod 755 /etc/sysconfig/modules/ipvs.modules && bash /etc/sysconfig/modules/ipvs.modules && lsmod | grep -e ip_vs -e nf_conntrack_ipv4
上面脚本创建了的/etc/sysconfig/modules/ipvs.modules文件，保证在节点重启后能自动加载所需模块。 使用lsmod | grep -e ip_vs -e nf_conntrack_ipv4命令查看是否已经正确加载所需的内核模块。
接下来还需要确保各个节点上已经安装了ipset软件包yum install ipset。 为了便于查看ipvs的代理规则，最好安装一下管理工具ipvsadm yum install ipvsadm。
如果以上前提条件如果不满足，则即使kube-proxy的配置开启了ipvs模式，也会退回到iptables模式。
1.3安装Docker
Kubernetes从1.6开始使用CRI(Container Runtime Interface)容器运行时接口。默认的容器运行时仍然是Docker，使用的是kubelet中内置dockershim CRI实现。
安装docker的yum源:
yum install -y yum-utils device-mapper-persistent-data lvm2
yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
查看最新的Docker版本：
yum list docker-ce.x86_64 --showduplicates |sort -r
docker-ce.x86_64 3:18.09.7-3.el7 docker-ce-stable
docker-ce.x86_64 3:18.09.6-3.el7 docker-ce-stable
docker-ce.x86_64 3:18.09.5-3.el7 docker-ce-stable
docker-ce.x86_64 3:18.09.4-3.el7 docker-ce-stable
docker-ce.x86_64 3:18.09.3-3.el7 docker-ce-stable
docker-ce.x86_64 3:18.09.2-3.el7 docker-ce-stable
docker-ce.x86_64 3:18.09.1-3.el7 docker-ce-stable
docker-ce.x86_64 3:18.09.0-3.el7 docker-ce-stable
docker-ce.x86_64 18.06.3.ce-3.el7 docker-ce-stable
docker-ce.x86_64 18.06.2.ce-3.el7 docker-ce-stable
docker-ce.x86_64 18.06.1.ce-3.el7 docker-ce-stable
docker-ce.x86_64 18.06.0.ce-3.el7 docker-ce-stable
docker-ce.x86_64 18.03.1.ce-1.el7.centos docker-ce-stable
docker-ce.x86_64 18.03.0.ce-1.el7.centos docker-ce-stable
Kubernetes 1.15当前支持的docker版本列表是1.13.1, 17.03, 17.06, 17.09, 18.06, 18.09。 这里在各节点安装docker的18.09.7版本。
yum makecache fast
yum install -y --setopt=obsoletes=0 \
docker-ce-18.09.7-3.el7
systemctl start docker
systemctl enable docker
确认一下iptables filter表中FOWARD链的默认策略(pllicy)为ACCEPT。
iptables -nvL
Chain INPUT (policy ACCEPT 263 packets, 19209 bytes)
pkts bytes target prot opt in out source destination
Chain FORWARD (policy ACCEPT 0 packets, 0 bytes)
pkts bytes target prot opt in out source destination
0 0 DOCKER-USER all -- * * 0.0.0.0/0 0.0.0.0/0
0 0 DOCKER-ISOLATION-STAGE-1 all -- * * 0.0.0.0/0 0.0.0.0/0
0 0 ACCEPT all -- * docker0 0.0.0.0/0 0.0.0.0/0 ctstate RELATED,ESTABLISHED
0 0 DOCKER all -- * docker0 0.0.0.0/0 0.0.0.0/0
0 0 ACCEPT all -- docker0 !docker0 0.0.0.0/0 0.0.0.0/0
0 0 ACCEPT all -- docker0 docker0 0.0.0.0/0 0.0.0.0/0
1.4 修改docker cgroup driver为systemd
根据文档CRI installation中的内容，对于使用systemd作为init system的Linux的发行版，使用systemd作为docker的cgroup driver可以确保服务器节点在资源紧张的情况更加稳定，因此这里修改各个节点上docker的cgroup driver为systemd。
创建或修改/etc/docker/daemon.json：
{
"exec-opts": ["native.cgroupdriver=systemd"]
}
重启docker：
systemctl restart docker
docker info | grep Cgroup
Cgroup Driver: systemd
2.使用kubeadm部署Kubernetes
2.1 安装kubeadm和kubelet
下面在各节点安装kubeadm和kubelet：
cat < /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=1
repo_gpgcheck=1
gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
EOF
yum makecache fast
yum install -y kubelet-1.15.2 kubeadm-1.15.2 kubectl-1.15.2
...
Installed:
kubeadm.x86_64 0:1.15.0-0 kubectl.x86_64 0:1.15.0-0 kubelet.x86_64 0:1.15.0-0
Dependency Installed:
conntrack-tools.x86_64 0:1.4.4-4.el7 cri-tools.x86_64 0:1.12.0-0 kubernetes-cni.x86_64 0:0.7.5-0 libnetfilter_cthelper.x86_64 0:1.0.0-9.el7
libnetfilter_cttimeout.x86_64 0:1.0.0-6.el7 libnetfilter_queue.x86_64 0:1.0.2-2.el7_2
从安装结果可以看出还安装了cri-tools, kubernetes-cni, socat三个依赖：
官方从Kubernetes 1.14开始将cni依赖升级到了0.7.5版本
socat是kubelet的依赖
cri-tools是CRI(Container Runtime Interface)容器运行时接口的命令行工具
运行kubelet –help可以看到原来kubelet的绝大多数命令行flag参数都被DEPRECATED了，如：
......
--address 0.0.0.0 The IP address for the Kubelet to serve on (set to 0.0.0.0 for all IPv4 interfaces and::for all IPv6 interfaces) (default 0.0.0.0) (DEPRECATED: This parameter should be set via the config file specified by the Kubelet's --config flag. See https://kubernetes.io/docs/tasks/administer-cluster/kubelet-config-file/ for more information.)
......
而官方推荐我们使用–config指定配置文件，并在配置文件中指定原来这些flag所配置的内容。具体内容可以查看这里Set Kubelet parameters via a config file。这也是Kubernetes为了支持动态Kubelet配置（Dynamic Kubelet Configuration）才这么做的，参考Reconfigure a Node’s Kubelet in a Live Cluster。
kubelet的配置文件必须是json或yaml格式，具体可查看这里。
Kubernetes 1.8开始要求关闭系统的Swap，如果不关闭，默认配置下kubelet将无法启动。 关闭系统的Swap方法如下:
swapoff -a
修改 /etc/fstab 文件，注释掉 SWAP 的自动挂载，使用free -m确认swap已经关闭。 swappiness参数调整，修改/etc/sysctl.d/k8s.conf添加下面一行：
vm.swappiness=0
执行下面命令：
sysctl -p /etc/sysctl.d/k8s.conf
使修改生效。
2.2 使用kubeadm init初始化集群
在各节点开机启动kubelet服务：
systemctl enable kubelet.service
初始化master之前确认修改/etc/sysconfig/kubelet 中的内容为：
KUBELET_EXTRA_ARGS=--fail-swap-on=false
kubeadm init \
--apiserver-advertise-address=192.168.0.246 \
--image-repository registry.aliyuncs.com/google_containers \
--kubernetes-version v1.13.3 \
--service-cidr=10.1.0.0/16 \
--pod-network-cidr=10.244.0.0/16
结果主要内容如下：
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 192.168.0.246:6443 --token 4qcl2f.gtl3h8e5kjltuo0r \
--discovery-token-ca-cert-hash sha256:7ed5404175cc0bf18dbfe53f19d4a35b1e3d40c19b10924275868ebf2a3bbe6e
执行以下命令：
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
最后给出了将节点加入集群的命令：
kubeadm join 192.168.0.246:6443 –token 4qcl2f.gtl3h8e5kjltuo0r \ –discovery-token-ca-cert-hash sha256:7ed5404175cc0bf18dbfe53f19d4a35b1e3d40c19b10924275868ebf2a3bbe6e
查看一下集群状态，确认个组件都处于healthy状态：
kubectl get cs
NAME STATUS MESSAGE ERROR
controller-manager Healthy ok
scheduler Healthy ok
etcd-0 Healthy {"health":"true"}
2.3 安装Pod Network
接下来安装flannel network add-on：
kdir -p ~/k8s/
cd ~/k8s
curl -O https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
kubectl apply -f kube-flannel.yml
clusterrole.rbac.authorization.k8s.io/flannel created
clusterrolebinding.rbac.authorization.k8s.io/flannel created
serviceaccount/flannel created
configmap/kube-flannel-cfg created
daemonset.extensions/kube-flannel-ds-amd64 created
daemonset.extensions/kube-flannel-ds-arm64 created
daemonset.extensions/kube-flannel-ds-arm created
daemonset.extensions/kube-flannel-ds-ppc64le created
daemonset.extensions/kube-flannel-ds-s390x created
[这里注意kube-flannel.yml这个文件里的flannel的镜像是0.11.0，quay.io/coreos/flannel:v0.11.0-amd64请添加链接描述]()
如果镜像拉取失败请每一个node进行手动拉取：
docker pull quay-mirror.qiniu.com/coreos/flannel:v0.11.0-amd64
docker tag quay-mirror.qiniu.com/coreos/flannel:v0.11.0-amd64 quay.io/coreos/flannel:v0.11.0-amd64
docker rmi quay-mirror.qiniu.com/coreos/flannel:v0.11.0-amd64
使用kubectl get pod –all-namespaces -o wide确保所有的Pod都处于Running状态。
kubectl get pod -n kube-system
NAME READY STATUS RESTARTS AGE
coreDNS-5c98db65d4-dr8lf 1/1 Running 0 52m
coredns-5c98db65d4-lp8dg 1/1 Running 0 52m
etcd-node1 1/1 Running 0 51m
kube-apiserver-node1 1/1 Running 0 51m
kube-controller-manager-node1 1/1 Running 0 51m
kube-flannel-ds-amd64-mm296 1/1 Running 0 44s
kube-proxy-kchkf 1/1 Running 0 52m
kube-scheduler-node1 1/1 Running 0 51m
2.5 向Kubernetes集群中添加Node节点
下面将node主机添加到Kubernetes集群中，在node上执行:
kubeadm join 192.168.99.11:6443 --token 4qcl2f.gtl3h8e5kjltuo0r \
--discovery-token-ca-cert-hash sha256:7ed5404175cc0bf18dbfe53f19d4a35b1e3d40c19b10924275868ebf2a3bbe6e
加入集群很是顺利，下面在master节点上执行命令查看集群中的节点：
kubectl get node
NAME STATUS ROLES AGE VERSION
k8s-master Ready master 57m v1.15.2
k8s-node1 Ready 11s v1.15.2
k8s-node2 Ready 11s v1.15.2
2.6 kube-proxy开启ipvs
修改ConfigMap的kube-system/kube-proxy中的config.conf，mode: “ipvs”
kubectl edit cm kube-proxy -n kube-system
之后重启各个节点上的kube-proxy pod：
kubectl get pod -n kube-system | grep kube-proxy | awk '{system("kubectl delete pod "$1" -n kube-system")}'
kubectl get pod -n kube-system | grep kube-proxy
kube-proxy-7fsrg 1/1 Running 0 3s
kube-proxy-k8vhm 1/1 Running 0 9s
kubectl logs kube-proxy-7fsrg -n kube-system
I0703 04:42:33.308289 1 server_others.go:170] Using ipvs Proxier.
W0703 04:42:33.309074 1 proxier.go:401] IPVS scheduler not specified, use rr by default
I0703 04:42:33.309831 1 server.go:534] Version: v1.15.0
I0703 04:42:33.320088 1 conntrack.go:52] Setting nf_conntrack_max to 131072
I0703 04:42:33.320365 1 config.go:96] Starting endpoints config controller
I0703 04:42:33.320393 1 controller_utils.go:1029] Waiting for caches to sync for endpoints config controller
I0703 04:42:33.320455 1 config.go:187] Starting service config controller
I0703 04:42:33.320470 1 controller_utils.go:1029] Waiting for caches to sync for service config controller
I0703 04:42:33.420899 1 controller_utils.go:1036] Caches are synced for endpoints config controller
I0703 04:42:33.420969 1 controller_utils.go:1036] Caches are synced for service config controller
3.Kubernetes常用组件部署
越来越多的公司和团队开始使用Helm这个Kubernetes的包管理器，这里也将使用Helm安装Kubernetes的常用组件。
3.1 Helm的安装
Helm由客户端命helm令行工具和服务端tiller组成，Helm的安装十分简单。 下载helm命令行工具到master节点node1的/usr/local/bin下，这里下载的2.14.1版本：
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/
为了安装服务端tiller，还需要在这台机器上配置好kubectl工具和kubeconfig文件，确保kubectl工具可以在这台机器上访问apiserver且正常使用。 这里的master节点已经配置好了kubectl。
因为Kubernetes APIServer开启了RBAC访问控制，所以需要创建tiller使用的service account: tiller并分配合适的角色给它。 详细内容可以查看helm文档中的Role-based Access Control。 这里简单起见直接分配cluster-admin这个集群内置的ClusterRole给它。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
kubectl create -f helm-rbac.yaml
serviceaccount/tiller created
clusterrolebinding.rbac.authorization.k8s.io/tiller created
接下来使用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"}
如果 tiller拉取失败请在所有Node节点手动拉取镜像：
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/tiller:v2.14.1
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/tiller:v2.14.1 gcr.io/kubernetes-helm/tiller:v2.14.1
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/tiller:v2.14.1
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
示例：
helm init --upgrade -i registry.cn-hangzhou.aliyuncs.com/google_containers/tiller:v2.14.1 --service-account=tiller --stable-repo-url https://kubernetes.oss-cn-hangzhou.aliyuncs.com/charts
最后在master上修改helm chart仓库的地址为azure提供的镜像地址（阿里云地址：）：
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
3.3 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
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-pkm2s kubernetes.io/service-account-token 3 3m7s
kubectl describe -n kube-system secret/kubernetes-dashboard-token-pkm2s
Name: kubernetes-dashboard-token-pkm2s
Namespace: kube-system
Labels:
Annotations: kubernetes.io/service-account.name: kubernetes-dashboard
kubernetes.io/service-account.uid: 2f0781dd-156a-11e9-b0f0-080027bb7c43
Type: kubernetes.io/service-account-token
Data
ca.crt: 1025 bytes
namespace: 11 bytes
token: eyJhbGciOiJSUzI1NiIsImtpZCI6IiJ9.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.24ad6ZgZMxdydpwlmYAiMxZ9VSIN7dDR7Q6-RLW0qC81ajXoQKHAyrEGpIonfld3gqbE0xO8nisskpmlkQra72-9X6sBPoByqIKyTsO83BQlME2sfOJemWD0HqzwSCjvSQa0x-bUlq9HgH2vEXzpFuSS6Svi7RbfzLXlEuggNoC4MfA4E2hF1OXml8iAKx-49y1BQQe5FGWyCyBSi1TD-ZpVs44H5gIvsGK2kcvi0JT4oHXtWjjQBKLIWL7xxyRCSE4HmUZT2StIHnOwlX7IEIB0oBX4mPg2_xNGnqwcu-8OERU9IoqAAE2cZa0v3b5O2LMcJPrcxrVOukvRIumA
在dashboard的登录窗口使用上面的token登录。
3.4 使用Helm部署metrics-server
从Heapster的github https://github.com/kubernetes/heapster中可以看到已经，heapster已经DEPRECATED。 这里是heapster的deprecation timeline。 可以看出heapster从Kubernetes 1.12开始从Kubernetes各种安装脚本中移除。
Kubernetes推荐使用metrics-server。我们这里也使用helm来部署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
使用下面的命令可以获取到关于集群节点基本的指标信息：
如果拉取镜像失败请手动拉取：
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/metrics-server-amd64:v0.3.5
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/metrics-server-amd64:v0.3.5 gcr.io/google_containers/metrics-server-amd64:v0.3.5
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/metrics-server-amd64:v0.3.5
kubectl top node
NAME CPU(cores) CPU% MEMORY(bytes) MEMORY%
node1 650m 32% 1276Mi 73%
node2 73m 3% 527Mi 30%
kubectl top pod -n kube-system
NAME CPU(cores) MEMORY(bytes)
coredns-5c98db65d4-dr8lf 8m 7Mi
coredns-5c98db65d4-lp8dg 6m 8Mi
etcd-node1 44m 46Mi
kube-apiserver-node1 74m 295Mi
kube-controller-manager-node1 35m 50Mi
kube-flannel-ds-amd64-7lwm9 2m 8Mi
kube-flannel-ds-amd64-mm296 5m 9Mi
kube-proxy-7fsrg 1m 11Mi
kube-proxy-k8vhm 3m 11Mi
kube-scheduler-node1 8m 15Mi
kubernetes-dashboard-848b8dd798-c4sc2 2m 14Mi
metrics-server-8456fb6676-fwh3t 10m 19Mi
tiller-deploy-7bf78cdbf7-9q94c 1m 16Mi
遗憾的是，当前Kubernetes Dashboard还不支持metrics-server。因此如果使用metrics-server替代了heapster，将无法在dashboard中以图形展示Pod的内存和CPU情况(实际上这也不是很重要，当前我们是在Prometheus和Grafana中定制的Kubernetes集群中各个Pod的监控，因此在dashboard中查看Pod内存和CPU也不是很重要)。 Dashboard的github上有很多这方面的讨论，如https://github.com/kubernetes/dashboard/issues/2986，Dashboard已经准备在将来的某个时间点支持metrics-server。但由于metrics-server和metrics pipeline肯定是Kubernetes在monitor方面未来的方向，所以推荐使用metrics-server。
k8s国内镜像仓库
docker pull registry.aliyuncs.com/google_containers/kube-apiserver:v1.15.0
docker tag registry.aliyuncs.com/google_containers/kube-apiserver:v1.15.0 k8s.gcr.io/ube-apiserver:v1.15.0
docker rmi registry.aliyuncs.com/google_containers/kube-apiserver:v1.15.0
docker pull registry.aliyuncs.com/google_containers/pause:3.1
docker tag registry.aliyuncs.com/google_containers/pause:3.1 k8s.gcr.io/pause:3.1
docker rmi registry.aliyuncs.com/google_containers/pause:3.1
docker pull registry.aliyuncs.com/google_containers/kube-controller-manager:v1.15.0
docker tag registry.aliyuncs.com/google_containers/kube-controller-manager:v1.15.0 k8s.gcr.io/kube-controller-manager:v1.15.0
docker rmi registry.aliyuncs.com/google_containers/kube-controller-manager:v1.15.0
docker pull registry.aliyuncs.com/google_containers/kube-scheduler:v1.15.0
docker tag registry.aliyuncs.com/google_containers/kube-scheduler:v1.15.0 k8s.gcr.io/kube-scheduler:v1.15.0
docker rmi registry.aliyuncs.com/google_containers/kube-scheduler:v1.15.0
docker pull registry.aliyuncs.com/google_containers/coredns:1.3.1
docker tag registry.aliyuncs.com/google_containers/coredns:1.3.1 k8s.gcr.io/coredns:1.3.1
docker rmi registry.aliyuncs.com/google_containers/coredns:1.3.1
docker pull registry.aliyuncs.com/google_containers/etcd:3.3.10
docker tag registry.aliyuncs.com/google_containers/etcd:3.3.10 k8s.gcr.io/etcd:3.3.10
docker rmi registry.aliyuncs.com/google_containers/etcd:3.3.10
docker pull quay-mirror.qiniu.com/coreos/flannel:v0.11.0-amd64
docker tag quay-mirror.qiniu.com/coreos/flannel:v0.11.0-amd64 quay.io/coreos/flannel:v0.11.0-amd64
docker rmi quay-mirror.qiniu.com/coreos/flannel:v0.11.0-amd64
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/tiller:v2.14.1
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/tiller:v2.14.1 gcr.io/kubernetes-helm/tiller:v2.14.1
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/tiller:v2.14.1
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kubernetes-dashboard-amd64:v1.10.1
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kubernetes-dashboard-amd64:v1.10.1 k8s.gcr.io/kubernetes-dashboard-amd64:v1.10.1
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/kubernetes-dashboard-amd64:v1.10.1
docker pull registry.aliyuncs.com/google_containers/kube-proxy:v1.15.0
docker tag registry.aliyuncs.com/google_containers/kube-proxy:v1.15.0 k8s.gcr.io/kube-proxy:v1.15.0
docker rmi registry.aliyuncs.com/google_containers/kube-proxy:v1.15.0
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/metrics-server-amd64:v0.3.5
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/metrics-server-amd64:v0.3.5 k8s.gcr.io/metrics-server-amd64:v0.3.5
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/metrics-server-amd64:v0.3.5
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