安裝虛擬機
1.安裝3臺虛擬機，或者使用其他物理機都OK；
2.三臺IP地址分別爲：192.168.222.135,192.168.222.139,192.168.222.140
2.設置hostname，master節點設置
hostnamectl set-hostname master3.兩個node節點設置
hostnamectl set-hostname node14.退出shell重新登錄
安裝組件
1.在三臺服務器上都安裝docker、kubelet、kubeadm、kubectl，這裏有個腳本，大家可以拿來使用。
~]# vi setup.sh
以下內容複製進文件
#/bin/sh
# install some tools
sudo yum install -y vim telnet bind-utils wget
sudo bash -c '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=1
repo_gpgcheck=1
gpgkey=http://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg http://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
EOF'
# install and start docker
sudo yum install -y docker
sudo systemctl enable docker && sudo systemctl start docker
# Verify docker version is 1.12 and greater.
sudo setenforce 0
# install kubeadm, kubectl, and kubelet.
sudo yum install -y kubelet kubeadm kubectl
sudo bash -c 'cat <<EOF > /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward=1
EOF'
sudo sysctl --system
sudo systemctl stop firewalld
sudo systemctl disable firewalld
sudo swapoff -a
sudo systemctl enable kubelet && sudo systemctl start kubelet2.將setup.sh複製到另外兩臺服務器上
scp setup.sh [email protected]:/root/
scp setup.sh [email protected]:/root/3.分別在三臺服務器上執行這個腳本,腳本其實就是安裝一些組件，大家都應該能看得懂。
sh setup.sh安裝確認
分別在三臺機器上運行以下命令，確認是否安裝完畢需要的組件
[root@node2 ~]# which kubeadm
/usr/bin/kubeadm
[root@node2 ~]# which kubelet
/usr/bin/kubelet
[root@node2 ~]# which kubectl
/usr/local/bin/kubectl
[root@node2 ~]# docker version
Client:
Version: 1.13.1
API version: 1.26
Package version: docker-1.13.1-94.gitb2f74b2.el7.centos.x86_64
Go version: go1.10.3
Git commit: b2f74b2/1.13.1
Built: Tue Mar 12 10:27:24 2019
OS/Arch: linux/amd64
Server:
Version: 1.13.1
API version: 1.26 (minimum version 1.12)
Package version: docker-1.13.1-94.gitb2f74b2.el7.centos.x86_64
Go version: go1.10.3
Git commit: b2f74b2/1.13.1
Built: Tue Mar 12 10:27:24 2019
OS/Arch: linux/amd64
Experimental: false
確認沒問題後進入下一個步驟
master配置
1.主節點上進行kubeadmin init
sudo kubeadm init --pod-network-cidr 172.100.0.0/16 --apiserver-advertise-address 192.168.222.135
#--pod-network-cidr：pod節點的網段
#--apiserver-advertise-address：apiserver的IP地址，這裏寫成master節點的IP即可
#-**-apiserver-cert-extra-sans: 如果需要使用公網IP，加上這一條，並且後面加上你的公網IP地址**2.如果發現拉取鏡像失敗，我是拉取失敗了~~~~ 所以去百度了一下，我們通過 docker.io/mirrorgooglecontainers 中轉一下，運行以下命令，直接複製即可
kubeadm config images list |sed -e 's/^/docker pull /g' -e 's#k8s.gcr.io#docker.io/mirrorgooglecontainers#g' |sh -x
docker images |grep mirrorgooglecontainers |awk '{print "docker tag ",$1":"$2,$1":"$2}' |sed -e 's#docker.io/mirrorgooglecontainers#k8s.gcr.io#2' |sh -x
docker images |grep mirrorgooglecontainers |awk '{print "docker rmi ", $1":"$2}' |sh -x
docker pull coredns/coredns:1.2.2
docker tag coredns/coredns:1.2.2 k8s.gcr.io/coredns:1.3.1
docker rmi coredns/coredns:1.2.2查看鏡像列表，沒毛病，如果發現init還報錯的話，按照kubeadm的報錯信息更改下docker鏡像的tag，具體各位百度下吧
[root@master ~]# docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
k8s.gcr.io/kube-proxy v1.14.1 20a2d7035165 2 days ago 82.1 MB
k8s.gcr.io/kube-apiserver v1.14.1 cfaa4ad74c37 2 days ago 210 MB
k8s.gcr.io/kube-controller-manager v1.14.1 efb3887b411d 2 days ago 158 MB
k8s.gcr.io/kube-scheduler v1.14.1 8931473d5bdb 2 days ago 81.6 MB
k8s.gcr.io/etcd 3.3.10 2c4adeb21b4f 4 months ago 258 MB
k8s.gcr.io/coredns 1.3.1 367cdc8433a4 7 months ago 39.2 MB
k8s.gcr.io/pause 3.1 da86e6ba6ca1 15 months ago 742 kB
3.kubeadm輸出的主要信息，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 192.168.222.135:6443 --token srbxk3.x6xo6nhv3a4ng08m \
--discovery-token-ca-cert-hash sha256:b302232cbf1c5f3d418cea5553b641181d4bb384aadbce9b1d97b37cde477773 4.運行kubeadm配置
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config5.安裝網絡插件
kubectl apply -f "https://cloud.weave.works/k8s/net?k8s-version=$(kubectl version | base64 | tr -d '\n')"6.確認是否安裝完成，查看pod內是否有weave-net即可
[root@master ~]# kubectl get pod --all-namespaces
NAMESPACE NAME READY STATUS RESTARTS AGE
kube-system coredns-fb8b8dccf-glszh 1/1 Running 0 23m
kube-system coredns-fb8b8dccf-xcmtx 1/1 Running 0 23m
kube-system etcd-master 1/1 Running 0 22m
kube-system kube-apiserver-master 1/1 Running 0 22m
kube-system kube-controller-manager-master 1/1 Running 0 22m
kube-system kube-proxy-z84wh 1/1 Running 0 23m
kube-system kube-scheduler-master 1/1 Running 0 22m
kube-system weave-net-phwjz 2/2 Running 0 95s加入node
1.在兩臺node上分別運行主要信息內的命令，如下（這個不能複製，需要查看自己的kubeadm輸出的信息）：
kubeadm join 192.168.222.135:6443 --token srbxk3.x6xo6nhv3a4ng08m \
--discovery-token-ca-cert-hash sha256:b302232cbf1c5f3d418cea5553b641181d4bb384aadbce9b1d97b37cde4777732.加入節點之後，發現node一直處於notready狀態，好糾結
[root@master bin]# kubectl get node
NAME STATUS ROLES AGE VERSION
master Ready master 167m v1.14.1
node1 NotReady <none> 142m v1.14.1
node2 NotReady <none> 142m v1.14.1
3.查看pod節點，發現weave沒啓動
[root@master bin]# kubectl get pods --all-namespaces
NAMESPACE NAME READY STATUS RESTARTS AGE
kube-system coredns-fb8b8dccf-glszh 1/1 Running 1 168m
kube-system coredns-fb8b8dccf-xcmtx 1/1 Running 1 168m
kube-system etcd-master 1/1 Running 1 167m
kube-system kube-apiserver-master 1/1 Running 1 167m
kube-system kube-controller-manager-master 1/1 Running 1 167m
kube-system kube-proxy-bq2rf 0/1 ContainerCreating 0 143m
kube-system kube-proxy-m8f7z 0/1 ContainerCreating 0 143m
kube-system kube-proxy-z84wh 1/1 Running 1 168m
kube-system kube-scheduler-master 1/1 Running 1 167m
kube-system weave-net-8xmpx 0/2 ContainerCreating 0 143m
kube-system weave-net-phwjz 2/2 Running 4 147m
kube-system weave-net-xwqwm 0/2 ContainerCreating 0 143m
4.使用describe pods發現報錯，沒有拉取鏡像，可是本機上已經有k8s.gcr.io/pause:3.1 鏡像了，在不懈的努力下，終於知道了，原來node節點上也需要該鏡像
kubectl describe pods --namespace=kube-system weave-net-8xmpx
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Warning FailedCreatePodSandBox 77m (x8 over 120m) kubelet, node2 Failed create pod sandbox: rpc error: code = Unknown desc = failed pulling image "k8s.gcr.io/pause:3.1": Get https://k8s.gcr.io/v1/_ping: dial tcp 64.233.189.82:443: connect: connection refused
Warning FailedCreatePodSandBox 32m (x9 over 91m) kubelet, node2 Failed create pod sandbox: rpc error: code = Unknown desc = failed pulling image "k8s.gcr.io/pause:3.1": Get https://k8s.gcr.io/v1/_ping: dial tcp 64.233.188.82:443: connect: connection refused
Warning FailedCreatePodSandBox 22m (x23 over 133m) kubelet, node2 Failed create pod sandbox: rpc error: code = Unknown desc = failed pulling image "k8s.gcr.io/pause:3.1": Get https://k8s.gcr.io/v1/_ping: dial tcp 108.177.97.82:443: connect: connection refused
Warning FailedCreatePodSandBox 17m (x56 over 125m) kubelet, node2 Failed create pod sandbox: rpc error: code = Unknown desc = failed pulling image "k8s.gcr.io/pause:3.1": Get https://k8s.gcr.io/v1/_ping: dial tcp 74.125.203.82:443: connect: connection refused
Warning FailedCreatePodSandBox 12m (x24 over 110m) kubelet, node2 Failed create pod sandbox: rpc error: code = Unknown desc = failed pulling image "k8s.gcr.io/pause:3.1": Get https://k8s.gcr.io/v1/_ping: dial tcp 74.125.204.82:443: connect: connection refused
Warning FailedCreatePodSandBox 2m31s (x20 over 96m) kubelet, node2 Failed create pod sandbox: rpc error: code = Unknown desc = failed pulling image "k8s.gcr.io/pause:3.1": Get https://k8s.gcr.io/v1/_ping: dial tcp 108.177.125.82:443: connect: connection refused
5.node節點下載該鏡像，分別運行以下命令，執行後發現還需要k8s.gcr.io/kube-proxy:v1.14.1 該鏡像，那麼一起處理吧（pull的鏡像版本可以自己改，不改的話根據我的命令執行也可以）。
docker pull mirrorgooglecontainers/pause:3.1
docker tag docker.io/mirrorgooglecontainers/pause:3.1 k8s.gcr.io/pause:3.1
docker pull mirrorgooglecontainers/kube-proxy-amd64:v1.11.3
docker tag docker.io/mirrorgooglecontainers/kube-proxy-amd64:v1.11.3 k8s.gcr.io/kube-proxy:v1.14.16.大功告成
創建一個pod測試
1.配置一個yml文件
vim nginx.yml
apiVersion: v1
kind: Pod
metadata:
name: nginx
labels:
app: web
spec:
containers:
- name: nginx
image: nginx
ports:
- containerPort: 802.創建pod
kubectl create -f nginx.yml3.查看IP並訪問
[root@master ~]# kubectl get pod -o wide
NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES
nginx 1/1 Running 0 4m11s 10.44.0.1 node1 <none> <none>
[root@master ~]# curl 10.44.0.1
<!DOCTYPE html>
<html>
<head>
<title>Welcome to nginx!</title>
<style>
body {
width: 35em;
margin: 0 auto;
font-family: Tahoma, Verdana, Arial, sans-serif;
}
</style>
</head>
<body>
<h1>Welcome to nginx!</h1>
<p>If you see this page, the nginx web server is successfully installed and
working. Further configuration is required.</p>
<p>For online documentation and support please refer to
<a href="http://nginx.org/">nginx.org</a>.<br/>
Commercial support is available at
<a href="http://nginx.com/">nginx.com</a>.</p>
<p><em>Thank you for using nginx.</em></p>
</body>
</html>
感謝大家觀看