------实验所需机器
master(2C/4G,cpu核心数要求大于2) 20.0.0.101 docker、kubeadm、kubelet、kubectl、flannel
node01(2C/2G) 20.0.0.102 docker、kubeadm、kubelet、kubectl、flannel
node02(2C/2G) 20.0.0.103 docker、kubeadm、kubelet、kubectl、flannel
Harbor节点(hub.my.com) 20.0.0.104 docker、docker-compose、harbor-offline-v1.2.2
1、在所有节点上安装Docker和kubeadm
2、部署Kubernetes Master
3、部署容器网络插件
4、部署 Kubernetes Node,将节点加入Kubernetes集群中
5、部署 Dashboard Web 页面,可视化查看Kubernetes资源
6、部署 Harbor 私有仓库,存放镜像资源
------------------------------ 环境准备 ------------------------------
//所有节点,关闭防火墙规则,关闭selinux,关闭swap交换
systemctl stop firewalld
systemctl disable firewalld
setenforce 0
sed -i 's/enforcing/disabled/' /etc/selinux/config
iptables -F && iptables -t nat -F && iptables -t mangle -F && iptables -X
swapoff -a #交换分区必须要关闭
sed -ri 's/.*swap.*/#&/' /etc/fstab #永久关闭swap分区,&符号在sed命令中代表上次匹配的结果
#加载 ip_vs 模块
for i in $(ls /usr/lib/modules/$(uname -r)/kernel/net/netfilter/ipvs|grep -o "^[^.]*");do echo $i; /sbin/modinfo -F filename $i >/dev/null 2>&1 && /sbin/modprobe $i;done
hostnamectl set-hostname master01
hostnamectl set-hostname node01
hostnamectl set-hostname node02
//所有节点修改hosts文件
vim /etc/hosts
20.0.0.101 master01
20.0.0.102 node01
20.0.0.103 node02
//调整内核参数
cat > /etc/sysctl.d/kubernetes.conf << EOF
#开启网桥模式,可将网桥的流量传递给iptables链
net.bridge.bridge-nf-call-ip6tables=1
net.bridge.bridge-nf-call-iptables=1
#关闭ipv6协议
net.ipv6.conf.all.disable_ipv6=1
net.ipv4.ip_forward=1
EOF
//生效参数
sysctl --system
-------------------- 所有节点安装docker --------------------
yum install -y yum-utils device-mapper-persistent-data lvm2
yum-config-manager --add-repo https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
yum install -y docker-ce docker-ce-cli containerd.io
mkdir /etc/docker
cat > /etc/docker/daemon.json <
{
"registry-mirrors": ["https://6ijb8ubo.mirror.aliyuncs.com"],
"exec-opts": ["native.cgroupdriver=systemd"],
"log-driver": "json-file",
"log-opts": {
"max-size": "100m"
}
}
EOF
#使用Systemd管理的Cgroup来进行资源控制与管理,因为相对Cgroupfs而言,Systemd限制CPU、内存等资源更加简单和成熟稳定。
#日志使用json-file格式类型存储,大小为100M,保存在/var/log/containers目录下,方便ELK等日志系统收集和管理日志。
systemctl daemon-reload
systemctl restart docker.service
systemctl enable docker.service
docker info | grep "Cgroup Driver"
-------------------- 所有节点安装kubeadm,kubelet和kubectl --------------------
//定义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=0
repo_gpgcheck=0
gpgkey=https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg
EOF
yum install -y kubelet-1.20.11 kubeadm-1.20.11 kubectl-1.20.11
//开机自启kubelet
systemctl enable kubelet.service
#K8S通过kubeadm安装出来以后都是以Pod方式存在,即底层是以容器方式运行,所以kubelet必须设置开机自启
-------------------- 部署K8S集群 --------------------
//查看初始化需要的镜像
kubeadm config images list
//在 master 节点上传 v1.20.11.zip 压缩包至 /opt 目录
unzip v1.20.11.zip -d /opt/k8s
cd /opt/k8s/v1.20.11
for i in $(ls *.tar); do docker load -i $i; done
//复制镜像和脚本到 node 节点,并在 node 节点上执行脚本加载镜像文件
scp -r /opt/k8s root@node01:/opt
scp -r /opt/k8s root@node02:/opt
cd /opt/k8s/v1.20.11
for i in $(ls *.tar); do docker load -i $i; done
//初始化kubeadm (在master01操作)
方法一:
kubeadm config print init-defaults > /opt/kubeadm-config.yaml
cd /opt/
vim kubeadm-config.yaml
......
11 localAPIEndpoint:
12 advertiseAddress: 20.0.0.101 #指定master节点的IP地址
13 bindPort: 6443
......
34 kubernetesVersion: v1.20.11 #指定kubernetes版本号
35 networking:
36 dnsDomain: cluster.local
37 podSubnet: "10.244.0.0/16" #指定pod网段,10.244.0.0/16用于匹配flannel默认网段
38 serviceSubnet: 10.96.0.0/16 #指定service网段
39 scheduler: {}
#末尾再添加以下内容
---
apiVersion: kubeproxy.config.k8s.io/v1alpha1
kind: KubeProxyConfiguration
mode: ipvs #把默认的kube-proxy调度方式改为ipvs模式
kubeadm init --config=kubeadm-config.yaml --upload-certs | tee kubeadm-init.log
#--experimental-upload-certs 参数可以在后续执行加入节点时自动分发证书文件,K8S V1.16版本开始替换为 --upload-certs
#tee kubeadm-init.log 用以输出日志
less kubeadm-init.log
//kubernetes配置文件目录
ls /etc/kubernetes/
//存放ca等证书和密码的目录
ls /etc/kubernetes/pki
kubeadm init \
--apiserver-advertise-address=20.0.0.101 \
--image-repository registry.aliyuncs.com/google_containers \
--kubernetes-version=v1.20.11 \
--service-cidr=10.96.0.0/16 \
--pod-network-cidr=10.244.0.0/16 \
--token-ttl=0
--------------------------------------------------------------------------------------------
初始化集群需使用kubeadm init命令,可以指定具体参数初始化,也可以指定配置文件初始化。
可选参数:
--apiserver-advertise-address:apiserver通告给其他组件的IP地址,一般应该为Master节点的用于集群内部通信的IP地址,0.0.0.0表示节点上所有可用地址
--apiserver-bind-port:apiserver的监听端口,默认是6443
--cert-dir:通讯的ssl证书文件,默认/etc/kubernetes/pki
--control-plane-endpoint:控制台平面的共享终端,可以是负载均衡的ip地址或者dns域名,高可用集群时需要添加
--image-repository:拉取镜像的镜像仓库,默认是k8s.gcr.io
--kubernetes-version:指定kubernetes版本
--pod-network-cidr:pod资源的网段,需与pod网络插件的值设置一致。Flannel网络插件的默认为10.244.0.0/16,Calico插件的默认值为192.168.0.0/16;
--service-cidr:service资源的网段
--service-dns-domain:service全域名的后缀,默认是cluster.local
--token-ttl:默认token的有效期为24小时,如果不想过期,可以加上 --token-ttl=0 这个参数
---------------------------------------------------------------------------------------------
方法二初始化后需要修改 kube-proxy 的 configmap,开启 ipvs
kubectl edit cm kube-proxy -n=kube-system
修改mode: ipvs
提示:
......
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) $HOME/.kube/config
Alternatively, if you are the root user, you can run:
export KUBECONFIG=/etc/kubernetes/admin.conf
You should now deploy a pod network to the cluster.
Run "kubectl apply -f [podnetwork].yaml" with one of the options listed at:
https://kubernetes.io/docs/concepts/cluster-administration/addons/
Then you can join any number of worker nodes by running the following on each as root:
kubeadm join 20.0.0.101:6443 --token wfjo7j.baa0aheyw39w3m7h \
--discovery-token-ca-cert-hash sha256:77100ff66b20100cbd9f1c289788e43aee69c5b4e24cc2c74c2e5d634a074fdc
//设定kubectl
kubectl需经由API server认证及授权后方能执行相应的管理操作,kubeadm 部署的集群为其生成了一个具有管理员权限的认证配置文件 /etc/kubernetes/admin.conf,它可由 kubectl 通过默认的 “$HOME/.kube/config” 的路径进行加载。
mkdir -p $HOME/.kube
cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
chown $(id -u):$(id -g) $HOME/.kube/config
kubeadm join 20.0.0.101:6443 --token abcdef.0123456789abcdef --discovery-token-ca-cert-hash sha256:16e64ad2239bbcc30a0232e54e1887bed781084efd50605b2b6e68267002c1ca
kubectl get node
以上notready是网络问题:
//如果 kubectl get cs 发现集群不健康,在master01更改以下两个文件
kubectl get cs
vim /etc/kubernetes/manifests/kube-scheduler.yaml
vim /etc/kubernetes/manifests/kube-controller-manager.yaml
# 修改如下内容
把--bind-address=127.0.0.1变成--bind-address=20.0.0.101 #修改成k8s的控制节点master01的ip
把httpGet:字段下的hosts由127.0.0.1变成20.0.0.101(有两处)
#- --port=0 # 搜索port=0,把这一行注释掉
systemctl restart kubelet
//所有节点上传flannel-cni-v1.2.0.tar ,flannel-v0.22.2.tar镜像node 到 /opt 目录,master节点上传cni-plugins-linux-amd64-v1.2.0.tgz,(由于版本更新后 不使用这个) flannel-cni-v1.2.0.tar ,flannel-v0.22.2.tar文件
cd /opt
docker load -i flannel-v0.22.2.tar
docker load -i flannel-cni-v1.2.0.tar
将flannel-cni-v1.2.0.tar flannel-v0.22.2.tar传给node01和node02
scp flannel-cni-v1.2.0.tar flannel-v0.22.2.tar node01:/opt/
scp flannel-cni-v1.2.0.tar flannel-v0.22.2.tar node02:/opt/
在node01和node02加载插件和服务:
cd /opt
docker load -i flannel-v0.22.2.tar
docker load -i flannel-cni-v1.2.0.tar
//在 master 节点创建 flannel 资源(将kube-flannel.yml传入/opt )
kubectl apply -f kube-flannel.yml
方法二:
kubectl apply -f https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
kubectl apply -f https://github.com/flannel-io/flannel/releases/latest/download/kube-flannel.yml
//在 node 节点上执行 kubeadm join 命令加入群集
kubeadm join 20.0.0.101:6443 --token abcdef.0123456789abcdef \
--discovery-token-ca-cert-hash sha256:b13fbf5f78d05ec623205f2ecd84d2577a54fbdcb47894a1b061fac81a50192f
//在master节点查看节点状态
kubectl get nodes
kubectl get pods -n kube-system
注意:要是一直有kube-flannel 状态不是running 则需要将 kube-flannel.yml 重新写入以下内容,
随后在执行一次命令: kubectl apply -f kube-flannel.yml
kube-flannel.yml如下:
---
apiVersion: policy/v1beta1
kind: PodSecurityPolicy
metadata:
name: psp.flannel.unprivileged
annotations:
seccomp.security.alpha.kubernetes.io/allowedProfileNames: docker/default
seccomp.security.alpha.kubernetes.io/defaultProfileName: docker/default
apparmor.security.beta.kubernetes.io/allowedProfileNames: runtime/default
apparmor.security.beta.kubernetes.io/defaultProfileName: runtime/default
spec:
privileged: false
volumes:
- configMap
- secret
- emptyDir
- hostPath
allowedHostPaths:
- pathPrefix: "/etc/cni/net.d"
- pathPrefix: "/etc/kube-flannel"
- pathPrefix: "/run/flannel"
readOnlyRootFilesystem: false
# Users and groups
runAsUser:
rule: RunAsAny
supplementalGroups:
rule: RunAsAny
fsGroup:
rule: RunAsAny
# Privilege Escalation
allowPrivilegeEscalation: false
defaultAllowPrivilegeEscalation: false
# Capabilities
allowedCapabilities: ['NET_ADMIN', 'NET_RAW']
defaultAddCapabilities: []
requiredDropCapabilities: []
# Host namespaces
hostPID: false
hostIPC: false
hostNetwork: true
hostPorts:
- min: 0
max: 65535
# SELinux
seLinux:
# SELinux is unused in CaaSP
rule: 'RunAsAny'
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: flannel
rules:
- apiGroups: ['extensions']
resources: ['podsecuritypolicies']
verbs: ['use']
resourceNames: ['psp.flannel.unprivileged']
- apiGroups:
- ""
resources:
- pods
verbs:
- get
- apiGroups:
- ""
resources:
- nodes
verbs:
- list
- watch
- apiGroups:
- ""
resources:
- nodes/status
verbs:
- patch
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: flannel
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: flannel
subjects:
- kind: ServiceAccount
name: flannel
namespace: kube-system
---
apiVersion: v1
kind: ServiceAccount
metadata:
name: flannel
namespace: kube-system
---
kind: ConfigMap
apiVersion: v1
metadata:
name: kube-flannel-cfg
namespace: kube-system
labels:
tier: node
app: flannel
data:
cni-conf.json: |
{
"name": "cbr0",
"cniVersion": "0.3.1",
"plugins": [
{
"type": "flannel",
"delegate": {
"hairpinMode": true,
"isDefaultGateway": true
}
},
{
"type": "portmap",
"capabilities": {
"portMappings": true
}
}
]
}
net-conf.json: |
{
"Network": "10.244.0.0/16",
"Backend": {
"Type": "vxlan"
}
}
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
name: kube-flannel-ds
namespace: kube-system
labels:
tier: node
app: flannel
spec:
selector:
matchLabels:
app: flannel
template:
metadata:
labels:
tier: node
app: flannel
spec:
affinity:
nodeAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
nodeSelectorTerms:
- matchExpressions:
- key: kubernetes.io/os
operator: In
values:
- linux
hostNetwork: true
priorityClassName: system-node-critical
tolerations:
- operator: Exists
effect: NoSchedule
serviceAccountName: flannel
initContainers:
- name: install-cni
image: quay.io/coreos/flannel:v0.14.0
command:
- cp
args:
- -f
- /etc/kube-flannel/cni-conf.json
- /etc/cni/net.d/10-flannel.conflist
volumeMounts:
- name: cni
mountPath: /etc/cni/net.d
- name: flannel-cfg
mountPath: /etc/kube-flannel/
containers:
- name: kube-flannel
image: quay.io/coreos/flannel:v0.14.0
command:
- /opt/bin/flanneld
args:
- --ip-masq
- --kube-subnet-mgr
resources:
requests:
cpu: "100m"
memory: "50Mi"
limits:
cpu: "100m"
memory: "50Mi"
securityContext:
privileged: false
capabilities:
add: ["NET_ADMIN", "NET_RAW"]
env:
- name: POD_NAME
valueFrom:
fieldRef:
fieldPath: metadata.name
- name: POD_NAMESPACE
valueFrom:
fieldRef:
fieldPath: metadata.namespace
volumeMounts:
- name: run
mountPath: /run/flannel
- name: flannel-cfg
mountPath: /etc/kube-flannel/
volumes:
- name: run
hostPath:
path: /run/flannel
- name: cni
hostPath:
path: /etc/cni/net.d
- name: flannel-cfg
configMap:
name: kube-flannel-cfg
//测试 pod 资源创建
kubectl create deployment nginx --image=nginx
kubectl get pods -o wide
//暴露端口提供服务
kubectl expose deployment nginx --port=80 --type=NodePort
kubectl get svc
//测试访问
curl http://node01:32134
//扩展3个副本
kubectl scale deployment nginx --replicas=3
kubectl get pods -o wide
------------------------------ 部署 Dashboard ------------------------------
//在 master01 节点上操作
#上传 recommended.yaml 文件到 /opt/k8s 目录中
cd /opt/k8s
vim recommended.yaml
#默认Dashboard只能集群内部访问,修改Service为NodePort类型,暴露到外部:
kind: Service
apiVersion: v1
metadata:
labels:
k8s-app: kubernetes-dashboard
name: kubernetes-dashboard
namespace: kubernetes-dashboard
spec:
ports:
- port: 443
targetPort: 8443
nodePort: 30001 #添加
type: NodePort #添加
selector:
k8s-app: kubernetes-dashboard
kubectl apply -f recommended.yaml
#创建service account并绑定默认cluster-admin管理员集群角色
kubectl create serviceaccount dashboard-admin -n kube-system
kubectl create clusterrolebinding dashboard-admin --clusterrole=cluster-admin --serviceaccount=kube-system:dashboard-admin
kubectl describe secrets -n kube-system $(kubectl -n kube-system get secret | awk '/dashboard-admin/{print $1}')
#使用输出的token登录Dashboard
https://NodeIP:30001
访问:https://20.0.0.102:30001
如果使用谷歌浏览器或者自带浏览器出现不安全无法打开,请更换火狐浏览器,忽略安全即可完美解决!!
-------------------- 安装Harbor私有仓库 --------------------
//修改主机名
hostnamectl set-hostname hub.xiaoma.com
//所有节点加上主机名映射
echo '20.0.0.104 hub.xiaoma.com' >> /etc/hosts
//安装 docker
yum install -y yum-utils device-mapper-persistent-data lvm2
yum-config-manager --add-repo https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
yum install -y docker-ce docker-ce-cli containerd.io
mkdir /etc/docker
cat > /etc/docker/daemon.json <
{
"registry-mirrors": ["https://6ijb8ubo.mirror.aliyuncs.com"],
"exec-opts": ["native.cgroupdriver=systemd"],
"log-driver": "json-file",
"log-opts": {
"max-size": "100m"
},
"insecure-registries": ["https://hub.xiaoyuan.com"]
}
EOF
systemctl start docker
systemctl enable docker
//所有 node 节点都修改 docker 配置文件,加上私有仓库配置
cat > /etc/docker/daemon.json <
{
"registry-mirrors": ["https://6ijb8ubo.mirror.aliyuncs.com"],
"exec-opts": ["native.cgroupdriver=systemd"],
"log-driver": "json-file",
"log-opts": {
"max-size": "100m"
},
"insecure-registries": ["https://hub.xiaoma.com"]
}
EOF
systemctl daemon-reload
systemctl restart docker
//安装 Harbor
//上传 harbor-offline-installer-v1.2.2.tgz 和 docker-compose 文件到 /opt 目录
cd /opt
cp docker-compose /usr/local/bin/
chmod +x /usr/local/bin/docker-compose
tar zxvf harbor-offline-installer-v1.2.2.tgz
cd harbor/
vim harbor.cfg
5 hostname = hub.xiaoma.com
9 ui_url_protocol = https
24 ssl_cert = /data/cert/server.crt
25 ssl_cert_key = /data/cert/server.key
59 harbor_admin_password = Harbor12345
//生成证书
mkdir -p /data/cert
cd /data/cert
#生成私钥
openssl genrsa -des3 -out server.key 2048
输入两遍密码:123456
#生成证书签名请求文件
openssl req -new -key server.key -out server.csr
输入私钥密码:123456
输入国家名:CN
输入省名:NJ
输入市名:NJ
输入组织名:MY
输入机构名:MY
输入域名:hub.xiaoma.com
输入管理员邮箱:[email protected]
其它全部直接回车
#备份私钥
cp server.key server.key.org
#清除私钥密码
openssl rsa -in server.key.org -out server.key
输入私钥密码:123456
#签名证书
签证1000天
openssl x509 -req -days 1000 -in server.csr -signkey server.key -out server.crt
chmod +x /data/cert/*
cd /opt/harbor/
./install.sh
在本地使用火狐浏览器访问:
https://hub.my.com
添加例外 -> 确认安全例外
用户名:admin
密码:Harbor12345
//在一个node节点上登录harbor
#注意要做本地映射
echo 20.0.0.104 hub.my.com >> /etc/hosts
docker login -u admin -p Harbor12345 https://hub.xiaoma.com
//上传镜像
#给镜像打标签。在这个命令中,nginx:latest 是要被标记的镜像,hub.xiaoma.com/library/nginx:v1 是新的标签和名称。
docker tag nginx:latest hub.xiaoma.com/library/nginx:v1
#将标记的镜像推送到远程仓库。在这种情况下,它将hub.xiaoma.com/library/nginx:v1镜像推送到远程仓库。
docker push hub.xiaoma.com/library/nginx:v1
//在master节点上删除之前创建的nginx资源
#删除名为"nginx"的部署
kubectl delete deployment nginx
#创建一个名为"nginx-deployment"的新部署,使用镜像"hub.xiaoma.com/library/nginx:v1"。它还指定该部署应该监听端口80,并具有3个副本
kubectl create deployment nginx-deployment --image=hub.xiaoma.com/library/nginx:v1 --port=80 --replicas=3
#创建一个服务来暴露"nginx-deployment"部署,该服务监听端口30000,并将流量转发到部署的pod的端口80。
kubectl expose deployment nginx-deployment --port=30000 --target-port=80
#获取服务(services)和Pods的信息。
kubectl get svc,pods
yum install ipvsadm -y
ipvsadm -Ln
curl 10.96.222.161:30000
kubectl edit svc nginx-deployment
25 type: NodePort #把调度策略改成NodePort
kubectl get svc
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/kubernetes ClusterIP 10.96.0.1 443/TCP 29m
service/nginx-deployment NodePort 10.96.222.161 30000:32340/TCP 22m
浏览器访问:
20.0.0.101:32340
20.0.0.102:32340
20.0.0.104:32340
#将cluster-admin角色权限授予用户system:anonymous
kubectl create clusterrolebinding cluster-system-anonymous --clusterrole=cluster-admin --user=system:anonymous
########### 内核参数优化方案 ##########
cat > /etc/sysctl.d/kubernetes.conf <