Master、Node节点都需要安装、配置Docker
# 卸载原来的docker
sudo yum remove docker \
docker-client \
docker-client-latest \
docker-common \
docker-latest \
docker-latest-logrotate \
docker-logrotate \
docker-engine
# 安装依赖
sudo yum update -y && sudo yum install -y yum-utils \
device-mapper-persistent-data \
lvm2
# 添加官方yum库
sudo yum-config-manager \
--add-repo \
https://download.docker.com/linux/centos/docker-ce.repo
# 安装docker
sudo yum install docker-ce docker-ce-cli containerd.io
# 查看docker版本
docker --version
# 开机启动
systemctl enable --now docker或使用脚本一键安装
curl -fsSL "https://get.docker.com/" | sh
systemctl enable --now docker修改docker cgroup驱动，与k8s一致，使用systemd
# 修改docker cgroup驱动：native.cgroupdriver=systemd
# 注意不要将原来配置的加速下载给删除了
vim /etc/docker/daemon.json
{
"exec-opts": ["native.cgroupdriver=systemd"],
"log-driver": "json-file",
"log-opts": {
"max-size": "100m"
},
"storage-driver": "overlay2",
"storage-opts": [
"overlay2.override_kernel_check=true"
]
}
systemctl restart docker # 重启使配置生效master、node节点都需要安装kubelet kubeadm kubectl。
安装kubernetes的时候，需要安装kubelet, kubeadm等包，但k8s官网给的yum源是packages.cloud.google.com，国内访问不了，此时我们可以使用阿里云的yum仓库镜像。
cat <<EOF > /etc/yum.repos.d/kubernetes.repo
[kubernetes]
name=Kubernetes
baseurl=http://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=0
repo_gpgcheck=0
gpgkey=http://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg
http://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
EOF
# 关闭SElinux
setenforce 0
sed -i 's/^SELINUX=enforcing$/SELINUX=permissive/' /etc/selinux/config
# 安装kubelet kubeadm kubectl
yum install -y kubelet kubeadm kubectl --disableexcludes=kubernetes
systemctl enable --now kubelet # 开机启动kubelet
# centos8不用管 centos7用户还需要设置路由：
yum install -y bridge-utils.x86_64
modprobe br_netfilter # 加载br_netfilter模块，使用lsmod查看开启的模块
cat <<EOF > /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
EOF
sysctl --system # 重新加载所有配置文件
systemctl disable --now firewalld # 关闭防火墙
# k8s要求关闭swap
swapoff -a && sysctl -w vm.swappiness=0 # 关闭swap
sed -ri '/^[^#]*swap/s@^@#@' /etc/fstab # 取消开机挂载swap,其实云主机一般没有.# Master端：
kubeadm config images pull # 拉取集群所需镜像，这个需要翻墙,结合网上搜索完善了一下按照我的流程来就不会出错
kubeadm config images list # 列出所需镜像
#(不是一定是下面的,根据实际情况来,此处输出的结果比如:k8s.gcr.io/kube-apiserver:v1.14.1,必须和下面打tag的k8s.gcr.io/kube-apiserver:v1.14.1一模一样,最后集群初始化的时候指定相应的版本就行,否则就会再去谷歌仓库pull)
#直接把下面的语句运行就好了
[root@master hanzhong]# cat k8spull.sh
#!/bin/bash
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-apiserver:v1.18.2
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-controller-manager:v1.18.2
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-scheduler:v1.18.2
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-proxy:v1.18.2
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.2
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/etcd:3.4.3-0
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/coredns:1.6.7
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kube-apiserver:v1.18.2 k8s.gcr.io/kube-apiserver:v1.18.2
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kube-controller-manager:v1.18.2 k8s.gcr.io/kube-controller-manager:v1.18.2
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kube-scheduler:v1.18.2 k8s.gcr.io/kube-scheduler:v1.18.2
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kube-proxy:v1.18.2 k8s.gcr.io/kube-proxy:v1.18.2
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.2 k8s.gcr.io/pause:3.2
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/etcd:3.4.3-0 k8s.gcr.io/etcd:3.4.3-0
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/coredns:1.6.7 k8s.gcr.io/coredns:1.6.7
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/kube-apiserver:v1.18.2
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/kube-controller-manager:v1.18.2
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/kube-scheduler:v1.18.2
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/kube-proxy:v1.18.2
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.2
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/etcd:3.4.3-0
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/coredns:1.6.7
# Node端,每一个都需要：
[root@node~]# cat k8spullnode.sh
#!/bin/bash
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/kube-proxy:v1.18.2
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.2
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/kube-proxy:v1.18.2 k8s.gcr.io/kube-proxy:v1.18.2
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.2 k8s.gcr.io/pause:3.2
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/kube-proxy:v1.18.2
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/pause:3.2
最后每台机器docker images 查看一下。
# 初始化Master（Master需要至少2核）此处会各种报错,异常...成功与否就在此
kubeadm init --apiserver-advertise-address 你本机的IP --pod-network-cidr 10.244.0.0/16 --kubernetes-version 1.18.2
# --apiserver-advertise-address 指定与其它节点通信的接口
# --pod-network-cidr 指定pod网络子网，使用fannel网络必须使用这个CIDR
# --kubernetes-version 1.18.2 这里指定我们刚刚下载好的版本- 运行初始化，程序会检验环境一致性，可以根据实际错误提示进一步修复问题。
# 初始化结果：
[init] Using Kubernetes version: v1.14.1
[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] Activating the kubelet service
[certs] Using certificateDir folder "/etc/kubernetes/pki"
[certs] Using existing etcd/ca certificate authority
[certs] Using existing etcd/server certificate and key on disk
[certs] Using existing etcd/peer certificate and key on disk
[certs] Using existing etcd/healthcheck-client certificate and key on disk
[certs] Using existing apiserver-etcd-client certificate and key on disk
[certs] Using existing ca certificate authority
[certs] Using existing apiserver certificate and key on disk
[certs] Using existing apiserver-kubelet-client certificate and key on disk
[certs] Using existing front-proxy-ca certificate authority
[certs] Using existing front-proxy-client certificate and key on disk
[certs] Using the existing "sa" 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"
[control-plane] Creating static Pod manifest for "kube-scheduler"
[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 21.503375 seconds
[upload-config] storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config-1.14" in namespace kube-system with the configuration for the kubelets in the cluster
[upload-certs] Skipping phase. Please see --experimental-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: w2i0mh.5fxxz8vk5k8db0wq
[bootstrap-token] Configuring bootstrap tokens, cluster-info ConfigMap, RBAC Roles
[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
[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:
#每个机器创建的master以下部分都不同,需要自己保存好
kubeadm join 刚刚你写的IP:6443 --token bb27qe.gecbdh33f1wgj63w \
--discovery-token-ca-cert-hash sha256:72fe1f265d4a92d37e27ebc8a4fb524d58cd67384e67d0a04d334123c4955acd
最后这段话非常重要，请大家一定要记在文档里。
# Master端：
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
# Node端：
mkdir -p $HOME/.kube
# 复制Master端配置文件$HOME/.kube/config到./kube下，否则后面kubectl get nodes会出现如下错误
# The connection to the server localhost:8080 was refused - did you specify the right host or port?
sudo chown $(id -u):$(id -g) $HOME/.kube/configkubectl apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml# node1:
kubeadm join 刚刚你写的IP:6443 --token bb27qe.gecbdh33f1wgj63w \
--discovery-token-ca-cert-hash sha256:72fe1f265d4a92d37e27ebc8a4fb524d58cd67384e67d0a04d334123c4955acd
# node2:
kubeadm join 刚刚你写的IP:6443 --token bb27qe.gecbdh33f1wgj63w \
--discovery-token-ca-cert-hash sha256:72fe1f265d4a92d37e27ebc8a4fb524d58cd67384e67d0a04d334123c4955acd 输出日志：
[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-1.14" 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] Activating the kubelet service
[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.
# master：
kubectl get pods --all-namespaces
# ---输出信息---
NAMESPACE NAME READY STATUS RESTARTS AGE
kube-system coredns-fb8b8dccf-rn8kd 1/1 Running 0 170m
kube-system coredns-fb8b8dccf-slwr4 1/1 Running 0 170m
kube-system etcd-master 1/1 Running 0 169m
kube-system kube-apiserver-master 1/1 Running 0 169m
kube-system kube-controller-manager-master 1/1 Running 0 169m
kube-system kube-flannel-ds-amd64-l8c7c 1/1 Running 0 130m
kube-system kube-flannel-ds-amd64-lcmxw 1/1 Running 1 117m
kube-system kube-flannel-ds-amd64-pqnln 1/1 Running 1 72m
kube-system kube-proxy-4kcqb 1/1 Running 0 170m
kube-system kube-proxy-jcqjd 1/1 Running 0 72m
kube-system kube-proxy-vm9sj 1/1 Running 0 117m
kube-system kube-scheduler-master 1/1 Running 0 169m
# ---输出信息---
kubectl get nodes
# ---输出信息---
NAME STATUS ROLES AGE VERSION
master Ready master 171m v1.14.1
node1 Ready <none> 118m v1.14.1
node2 Ready <none> 74m v1.14.1
# ---输出信息---排错
journalctl -f # 当前输出日志
journalctl -f -u kubelet # 只看当前的kubelet进程日志出于安全考虑，默认配置下Kubernetes不会将Pod调度到Master节点。如果希望将k8s-master也当作Node使用，可以执行如下命令：
kubectl describe node localhost
#输出:Taints: node-role.kubernetes.io/master:NoSchedule(这个污点表示默认情况下master节点将不会调度运行Pod，即不运行工作负载。)
#可以部署到master
kubectl taint node localhost node-role.kubernetes.io/master=:NoSchedule-其中k8s-master是主机节点hostname如果要恢复Master Only状态，执行如下命令：
#不会部署到master
kubectl taint node k8s-master node-role.kubernetes.io/master:NoSchedule注意：kubeadm初始化的Kubernetes集群，master节点也被打上了一个node-role.kubernetes.io/master=的label，标识这个节点的角色为master。给Node设置Label和设置污点是两个不同的操作。
实践：Kubernetes master节点不运行工作负载，Kubernetes集群的Master节点是十分重要的，一个高可用的Kubernetes集群一般会存在3个以上的master节点，为了保证master节点的稳定性，一般不推荐将业务的Pod调度到master节点上。