Kubernetes进阶实战读书笔记:使用kubeadm部署v1.18.6版本Kubernetes集群

一、集群环境准备

本文系搭建kubernetes v1.18.6 集群笔记,使用三台虚拟机作为 CentOS 测试机,安装kubeadm、kubelet、kubectl均使用yum安装,网络组件选用的是 flannel行文中难免出现错误,如果读者有高见,请评论与我交流、如需转载请注明原始出处:https://www.cnblogs.com/luoahong/p/13432410.html

部署集群没有特殊说明均使用root用户执行命令

1、硬件信息

root@master ~]# lscpu
......
CPU(s):                4
CPU MHz:               2397.220
Hypervisor vendor:     KVM

[root@master ~]# free -h
              total        used        free      shared  buff/cache   available
Mem:            17G        1.0G         13G         17M        2.6G         16G

[root@master ~]# lsblk
NAME   MAJ:MIN RM  SIZE RO TYPE MOUNTPOINT
sr0     11:0    1 1024M  0 rom  
vda    253:0    0  100G  0 disk 

2、软件信息

[root@master ~]# cat /etc/redhat-release 
CentOS Linux release 7.5.1804 (Core)

[root@master ~]# kubectl version 
Client Version: version.Info{Major:"1", Minor:"18", GitVersion:"v1.18.6"

[root@master ~]# docker version 
Client: Docker Engine - Community
 Version:           19.03.12

3、保证环境正确性

purposecommands
保证集群各节点互通 ping -c 3 <ip>
保证MAC地址唯一 ip link 或 ifconfig -a
保证集群内主机名唯一 查询 hostnamectl status,修改 hostnamectl set-hostname <hostname>
保证系统产品uuid唯一 dmidecode -s system-uuid 或 sudo cat /sys/class/dmi/id/product_uuid

 



 

 

 

4、确保端口开放正常

kube-master节点端口检查:

[root@master ~]# netstat -lntup
Active Internet connections (only servers)
Proto Recv-Q Send-Q Local Address           Foreign Address         State       PID/Program name
tcp6       0      0 :::10250                :::*                    LISTEN      14154/kubelet                
      
tcp        0      0 127.0.0.1:10249         0.0.0.0:*               LISTEN      14494/kube-proxy
tcp6       0      0 :::10256                :::*                    LISTEN      14494/kube-proxy 
      
tcp        0      0 192.168.118.4:2379      0.0.0.0:*               LISTEN      13805/etcd                  
tcp        0      0 192.168.118.4:2380      0.0.0.0:*               LISTEN      13805/etcd          
            
tcp        0      0 127.0.0.1:10257         0.0.0.0:*               LISTEN      13817/kube-controll 

tcp        0      0 127.0.0.1:10259         0.0.0.0:*               LISTEN      13877/kube-schedule    
         
tcp6       0      0 :::6443                 :::*                    LISTEN      13755/kube-apiserve 

kube-node*节点端口检查:

[root@node1 ~]# netstat -lntup
Active Internet connections (only servers)
Proto Recv-Q Send-Q Local Address           Foreign Address         State       PID/Program name    

xy    
tcp        0      0 0.0.0.0:30443           0.0.0.0:*               LISTEN      13294/kube-proxy    
tcp        0      0 0.0.0.0:30964           0.0.0.0:*               LISTEN      13294/kube-proxy  
           
tcp6       0      0 :::10250                :::*                    LISTEN      12951/kubelet       
tcp6       0      0 :::10256                :::*                    LISTEN      13294/kube-proxy

二、环境初始化(所有节点执行)  

1、配置主机互信

1、分别在各节点配置hosts映射:

cat >> /etc/hosts <<EOF
192.168.118.4 master
192.168.118.19 node1
192.168.118.20 node2
EOF

2、master生成ssh密钥,分发公钥到各节点:

#生成ssh密钥,直接一路回车
ssh-keygen -t rsa

#复制刚刚生成的密钥到各节点可信列表中,需分别输入各主机密码
ssh-copy-id /root/.ssh/id_rsa.pub master
ssh-copy-id /root/.ssh/id_rsa.pub node1
ssh-copy-id /root/.ssh/id_rsa.pub node2

2、禁用swap

swapoff -a
sed -i 's/.*swap.*/#&/' /etc/fstab三、部署docker

三、部署docker(所有节点执行)

1、添加docker yum源

#安装必要依赖
yum install -y yum-utils device-mapper-persistent-data lvm2
#添加aliyun docker-ce yum源
yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
#重建yum缓存
yum makecache fast

2、安装docker

#查看可用docker版本
yum list docker-ce.x86_64 --showduplicates | sort -r

#安装指定版本docker
yum install -y docker-ce-19.03.12-3.el7

3、确保网络模块开机自动加载

lsmod | grep overlay
lsmod | grep br_netfilter

若上面命令无返回值输出或提示文件不存在,需执行以下命令:

cat > /etc/modules-load.d/docker.conf <<EOF
overlay
br_netfilter
EOF
modprobe overlay
modprobe br_netfilter

4、使桥接流量对iptables可见

cat > /etc/sysctl.d/k8s.conf <<EOF
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
EOF
sysctl --system

验证是否生效,均返回 1 即正确

sysctl -n net.bridge.bridge-nf-call-iptables
sysctl -n net.bridge.bridge-nf-call-ip6tables

5、配置docker

mkdir /etc/docker
#修改cgroup驱动为systemd[k8s官方推荐]、限制容器日志量、修改存储类型,最后的docker家目录可修改
cat > /etc/docker/daemon.json <<EOF
{
  "exec-opts": ["native.cgroupdriver=systemd"],
  "log-driver": "json-file",
  "log-opts": {
    "max-size": "100m"
  },
  "storage-driver": "overlay2",
  "storage-opts": [
    "overlay2.override_kernel_check=true"
  ],
  "registry-mirrors": ["https://7uuu3esz.mirror.aliyuncs.com"],
  "data-root": "/data/docker"
}
EOF
#添加开机自启,立即启动
systemctl enable --now docker

6、验证docker是否正常

#查看docker信息,判断是否与配置一致
docker info
#hello-docker测试
docker run --rm hello-world
#删除测试image
docker rmi hello-world

四、部署kubernetes集群

未特殊说明,各节点均需执行如下步骤

1、添加kubernetes源

cat > /etc/yum.repos.d/kubernetes.repo <<EOF
[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
#重建yum缓存,输入y添加证书认证
yum makecache fast

2、安装kubeadm、kubelet、kubectl

各节点均需安装kubeadm、kubelet,kubectl仅kube-master节点需安装(作为worker节点,kubectl无法使用,可以不装)

yum install -y kubelet kubeadm kubectl --disableexcludes=kubernetes
systemctl enable --now kubelet

3、配置自动补全命令

#安装bash自动补全插件
yum install bash-completion -y
#设置kubectl与kubeadm命令补全,下次login生效
kubectl completion bash >/etc/bash_completion.d/kubectl
kubeadm completion bash > /etc/bash_completion.d/kubeadm

4、预拉取kubernetes镜像

#!/bin/bash

KUBE_VERSION=v1.18.6
PAUSE_VERSION=3.2
CORE_DNS_VERSION=1.6.7
ETCD_VERSION=3.4.3-0

# pull kubernetes images from hub.docker.com
docker pull kubeimage/kube-proxy-amd64:$KUBE_VERSION
docker pull kubeimage/kube-controller-manager-amd64:$KUBE_VERSION
docker pull kubeimage/kube-apiserver-amd64:$KUBE_VERSION
docker pull kubeimage/kube-scheduler-amd64:$KUBE_VERSION
# pull aliyuncs mirror docker images
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/pause:$PAUSE_VERSION
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/coredns:$CORE_DNS_VERSION
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/etcd:$ETCD_VERSION

# retag to k8s.gcr.io prefix
docker tag kubeimage/kube-proxy-amd64:$KUBE_VERSION  k8s.gcr.io/kube-proxy:$KUBE_VERSION
docker tag kubeimage/kube-controller-manager-amd64:$KUBE_VERSION k8s.gcr.io/kube-controller-manager:$KUBE_VERSION
docker tag kubeimage/kube-apiserver-amd64:$KUBE_VERSION k8s.gcr.io/kube-apiserver:$KUBE_VERSION
docker tag kubeimage/kube-scheduler-amd64:$KUBE_VERSION k8s.gcr.io/kube-scheduler:$KUBE_VERSION
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/pause:$PAUSE_VERSION k8s.gcr.io/pause:$PAUSE_VERSION
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/coredns:$CORE_DNS_VERSION k8s.gcr.io/coredns:$CORE_DNS_VERSION
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/etcd:$ETCD_VERSION k8s.gcr.io/etcd:$ETCD_VERSION

# untag origin tag, the images won't be delete.
docker rmi kubeimage/kube-proxy-amd64:$KUBE_VERSION
docker rmi kubeimage/kube-controller-manager-amd64:$KUBE_VERSION
docker rmi kubeimage/kube-apiserver-amd64:$KUBE_VERSION
docker rmi kubeimage/kube-scheduler-amd64:$KUBE_VERSION
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/pause:$PAUSE_VERSION
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/coredns:$CORE_DNS_VERSION
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/etcd:$ETCD_VERSION

脚本添加可执行权限,执行脚本拉取镜像:

由于网络原因建议在早上7点前执行速度更佳、其他时段速度很慢甚至连接超时

chmod +x get-k8s-images.sh
./get-k8s-images.sh

拉取完成,执行 docker images 查看镜像

[root@master ~]# docker images
REPOSITORY                           TAG                 IMAGE ID            CREATED             SIZE
k8s.gcr.io/kube-proxy                v1.18.6             c3d62d6fe412        2 weeks ago         117MB
k8s.gcr.io/kube-controller-manager   v1.18.6             ffce5e64d915        2 weeks ago         162MB
k8s.gcr.io/kube-apiserver            v1.18.6             56acd67ea15a        2 weeks ago         173MB
k8s.gcr.io/kube-scheduler            v1.18.6             0e0972b2b5d1        2 weeks ago         95.3MB
k8s.gcr.io/pause                     3.2                 80d28bedfe5d        5 months ago        683kB
k8s.gcr.io/coredns                   1.6.7               67da37a9a360        6 months ago        43.8MB
k8s.gcr.io/etcd                      3.4.3-0             303ce5db0e90        9 months ago        288MB

 五、初始化master(仅 master 节点需要执行此步骤)

1、修改kubelet配置默认cgroup driver

cat > /var/lib/kubelet/config.yaml <<EOF
apiVersion: kubelet.config.k8s.io/v1beta1
kind: KubeletConfiguration
cgroupDriver: systemd
EOF
systemctl restart kubelet

2、初始化master 10.244.0.0/16是flannel固定使用的IP段,设置取决于网络组件要求

[root@master ~]# kubeadm init --pod-network-cidr=10.244.0.0/16 --kubernetes-version=v1.18.6
W0803 23:20:21.320111   12805 configset.go:202] WARNING: kubeadm cannot validate component configs for API groups [kubelet.config.k8s.io kubeproxy.config.k8s.io]
[init] Using Kubernetes version: v1.18.6
[preflight] Running pre-flight checks
[preflight] Pulling images required for setting up a Kubernetes cluster
[preflight] This might take a minute or two, depending on the speed of your internet connection
[preflight] You can also perform this action in beforehand using 'kubeadm config images pull'
[kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"
[kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"
[kubelet-start] Starting the kubelet
[certs] Using certificateDir folder "/etc/kubernetes/pki"
[certs] Generating "ca" certificate and key
[certs] Generating "apiserver" certificate and key
[certs] apiserver serving cert is signed for DNS names [master kubernetes kubernetes.default kubernetes.default.svc kubernetes.default.svc.cluster.local] and IPs [10.96.0.1 192.168.118.4]
[certs] Generating "apiserver-kubelet-client" certificate and key
[certs] Generating "front-proxy-ca" certificate and key
[certs] Generating "front-proxy-client" certificate and key
[certs] Generating "etcd/ca" certificate and key
[certs] Generating "etcd/server" certificate and key
[certs] etcd/server serving cert is signed for DNS names [master localhost] and IPs [192.168.118.4 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [master localhost] and IPs [192.168.118.4 127.0.0.1 ::1]
[certs] Generating "etcd/healthcheck-client" certificate and key
[certs] Generating "apiserver-etcd-client" certificate and key
[certs] Generating "sa" key and public key
[kubeconfig] Using kubeconfig folder "/etc/kubernetes"
[kubeconfig] Writing "admin.conf" kubeconfig file
[kubeconfig] Writing "kubelet.conf" kubeconfig file
[kubeconfig] Writing "controller-manager.conf" kubeconfig file
[kubeconfig] Writing "scheduler.conf" kubeconfig file
[control-plane] Using manifest folder "/etc/kubernetes/manifests"
[control-plane] Creating static Pod manifest for "kube-apiserver"
[control-plane] Creating static Pod manifest for "kube-controller-manager"
W0803 23:20:28.237080   12805 manifests.go:225] the default kube-apiserver authorization-mode is "Node,RBAC"; using "Node,RBAC"
[control-plane] Creating static Pod manifest for "kube-scheduler"
W0803 23:20:28.238090   12805 manifests.go:225] the default kube-apiserver authorization-mode is "Node,RBAC"; using "Node,RBAC"
[etcd] Creating static Pod manifest for local etcd in "/etc/kubernetes/manifests"
[wait-control-plane] Waiting for the kubelet to boot up the control plane as static Pods from directory "/etc/kubernetes/manifests". This can take up to 4m0s
[apiclient] All control plane components are healthy after 20.503032 seconds
[upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config-1.18" in namespace kube-system with the configuration for the kubelets in the cluster
[upload-certs] Skipping phase. Please see --upload-certs
[mark-control-plane] Marking the node master as control-plane by adding the label "node-role.kubernetes.io/master=''"
[mark-control-plane] Marking the node master as control-plane by adding the taints [node-role.kubernetes.io/master:NoSchedule]
[bootstrap-token] Using token: aw0koc.6d40t5a2ydm299c9
[bootstrap-token] Configuring bootstrap tokens, cluster-info ConfigMap, RBAC Roles
[bootstrap-token] configured RBAC rules to allow Node Bootstrap tokens to get nodes
[bootstrap-token] configured RBAC rules to allow Node Bootstrap tokens to post CSRs in order for nodes to get long term certificate credentials
[bootstrap-token] configured RBAC rules to allow the csrapprover controller automatically approve CSRs from a Node Bootstrap Token
[bootstrap-token] configured RBAC rules to allow certificate rotation for all node client certificates in the cluster
[bootstrap-token] Creating the "cluster-info" ConfigMap in the "kube-public" namespace
[kubelet-finalize] Updating "/etc/kubernetes/kubelet.conf" to point to a rotatable kubelet client certificate and key
[addons] Applied essential addon: CoreDNS
[addons] Applied essential addon: kube-proxy

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 192.168.118.4:6443 --token aw0koc.6d40t5a2ydm299c9 \
    --discovery-token-ca-cert-hash sha256:38343d02ddd645b2f74ddf886925c93115604ea72a01b0b03088ca1d2ac14c6f 

3、为日常使用集群的用户添加kubectl使用权限

[root@master ~]#mkdir -p $HOME/.kube
[root@master ~]#sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
[root@master ~]#sudo chown $(id -u):$(id -g) $HOME/.kube/config
[root@master ~]# echo "export KUBECONFIG=$HOME/.kube/admin.conf" >> ~/.bashrc

4、配置master认证

[root@master ~]# echo 'export KUBECONFIG=/etc/kubernetes/admin.conf' >> /etc/profile
[root@master ~]# . /etc/profile

如果不配置这个,会提示如下输出:

The connection to the server localhost:8080 was refused - did you specify the right host or port?

此时master节点已经初始化成功,但是还未完装网络组件,还无法与其他节点通讯

[root@master ~]# kubectl get nodes
NAME     STATUS     ROLES    AGE   VERSION
master   NotReady   master   81s   v1.18.6

5、安装网络组件,以flannel为例

由于网络原因建议在早上7点前执行速度更佳、其他时段速度很慢甚至连接超时

创建运行

[root@master ~]# wget https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
[root@master ~]# kubectl apply -f kube-flannel.yml  

 查看是否都正常运行

[root@master ~]# kubectl get pod -n kube-system
NAME                             READY   STATUS    RESTARTS   AGE
coredns-66bff467f8-d9xjc         1/1     Running   0          2m22s
coredns-66bff467f8-lvldb         1/1     Running   0          2m22s
etcd-master                      1/1     Running   0          2m34s
kube-apiserver-master            1/1     Running   0          2m34s
kube-controller-manager-master   1/1     Running   0          2m34s
kube-proxy-lg58q                 1/1     Running   0          2m22s
kube-scheduler-master            1/1     Running   0          2m33s

查看kube-master节点状态

[root@master ~]# kubectl get nodes
NAME     STATUS   ROLES    AGE   VERSION
master   Ready    master   12h   v1.18.6

如果STATUS提示NotReady,可以通过 kubectl describe node master 查看具体的描述信息,性能差的服务器到达Ready状态时间会长些

六、初始化node*节点并加入集群

1、备份镜像供其他节点使用

便于后续传输给其他node节点,当然有镜像仓库更好

docker save k8s.gcr.io/kube-proxy:v1.18.6 \
            k8s.gcr.io/kube-apiserver:v1.18.6 \
            k8s.gcr.io/kube-controller-manager:v1.18.6 \
            k8s.gcr.io/kube-scheduler:v1.18.6 \
            k8s.gcr.io/pause:3.2 \
            k8s.gcr.io/coredns:1.6.7 \
            k8s.gcr.io/etcd:3.4.3-0 > k8s-imagesV1.18.6.tar

拷贝镜像到node节点

[root@master ~]#scp k8s-imagesV1.18.6.tar node1
[root@master ~]#scp k8s-imagesV1.18.6.tar node2

2、node节点载入镜像

docker load < k8s-imagesV1.18.6.tar
[root@node1 ~]#docker load < k8s-imagesV1.18.6.tar
225df95e717c: Loading layer [==================================================>]  336.4kB/336.4kB
c965b38a6629: Loading layer [==================================================>]  43.58MB/43.58MB
Loaded image: k8s.gcr.io/coredns:1.6.7
fe9a8b4f1dcc: Loading layer [==================================================>]  43.87MB/43.87MB
ce04b89b7def: Loading layer [==================================================>]  224.9MB/224.9MB
1b2bc745b46f: Loading layer [==================================================>]  21.22MB/21.22MB
Loaded image: k8s.gcr.io/etcd:3.4.3-0
82a5cde9d9a9: Loading layer [==================================================>]  53.87MB/53.87MB
a2b38eae1b39: Loading layer [==================================================>]  21.62MB/21.62MB
f378e9487360: Loading layer [==================================================>]  5.168MB/5.168MB
a35a0b8b55f5: Loading layer [==================================================>]  4.608kB/4.608kB
dea351e760ec: Loading layer [==================================================>]  8.192kB/8.192kB
d57a645c2b0c: Loading layer [==================================================>]  8.704kB/8.704kB
602805206b58: Loading layer [==================================================>]  38.39MB/38.39MB
Loaded image: k8s.gcr.io/kube-proxy:v1.18.6
2d99d0f31eb7: Loading layer [==================================================>]  120.7MB/120.7MB
Loaded image: k8s.gcr.io/kube-apiserver:v1.18.6
82d47bbb60b8: Loading layer [==================================================>]  110.1MB/110.1MB
Loaded image: k8s.gcr.io/kube-controller-manager:v1.18.6
80eec301f276: Loading layer [==================================================>]  42.96MB/42.96MB
Loaded image: k8s.gcr.io/kube-scheduler:v1.18.6
ba0dae6243cc: Loading layer [==================================================>]  684.5kB/684.5kB
Loaded image: k8s.gcr.io/pause:3.2

3、获取加入kubernetes命令

刚才在初始化master节点时,有在最后输出其加入集群的命令,假如我没记下来,那怎么办呢?

访问kube-master输入创建新token命令,同时输出加入集群的命令:

[root@master ~]# kubeadm token create --print-join-command
W0804 11:51:54.344223   11517 configset.go:202] WARNING: kubeadm cannot validate component configs for API groups [kubelet.config.k8s.io kubeproxy.config.k8s.io]
kubeadm join 192.168.118.4:6443 --token eynx2u.ph1ohakkqx1utkl8     --discovery-token-ca-cert-hash sha256:38343d02ddd645b2f74ddf886925c93115604ea72a01b0b03088ca1d2ac14c6f

 和初始化的集群命令对比

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:

#建议记录下来便于以后添加新的node使用
kubeadm join 192.168.118.4:6443 --token aw0koc.6d40t5a2ydm299c9 \ --discovery-token-ca-cert-hash sha256:38343d02ddd645b2f74ddf886925c93115604ea72a01b0b03088ca1d2ac14c6f
#以下是通过kubeadm token create --print-join-command命令获实时取的
kubeadm join 192.168.118.4:6443 --token eynx2u.ph1ohakkqx1utkl8 --discovery-token-ca-cert-hash sha256:38343d02ddd645b2f74ddf886925c93115604ea72a01b0b03088ca1d2ac14c6f

4、在node*节点上执行加入集群命令

[root@node1 ~]# kubeadm join 192.168.118.4:6443 --token aw0koc.6d40t5a2ydm299c9 \
>     --discovery-token-ca-cert-hash sha256:38343d02ddd645b2f74ddf886925c93115604ea72a01b0b03088ca1d2ac14c6f
W0803 23:41:00.380582   12778 join.go:346] [preflight] WARNING: JoinControlPane.controlPlane settings will be ignored when control-plane flag is not set.
[preflight] Running pre-flight checks
[preflight] Reading configuration from the cluster...
[preflight] FYI: You can look at this config file with 'kubectl -n kube-system get cm kubeadm-config -oyaml'
[kubelet-start] Downloading configuration for the kubelet from the "kubelet-config-1.18" ConfigMap in the kube-system namespace
[kubelet-start] Writing kubelet configuration to file "/var/lib/kubelet/config.yaml"
[kubelet-start] Writing kubelet environment file with flags to file "/var/lib/kubelet/kubeadm-flags.env"
[kubelet-start] Starting the kubelet
[kubelet-start] Waiting for the kubelet to perform the TLS Bootstrap...

This node has joined the cluster:
* Certificate signing request was sent to apiserver and a response was received.
* The Kubelet was informed of the new secure connection details.

Run 'kubectl get nodes' on the control-plane to see this node join the cluster.

5、查看集群节点状态

[root@master ~]# kubectl get nodes
NAME     STATUS   ROLES    AGE   VERSION
master   Ready    master   12h   v1.18.6
node1    Ready    <none>   11h   v1.18.6
node2    Ready    <none>   11h   v1.18.6
posted @ 2020-08-04 12:01  活的潇洒80  阅读(649)  评论(0编辑  收藏