001k8s环境部署
0 机器资源定义虚拟机我们准备三台CentOS7服务器(一个master,两个node),并且给他们分配静态ip,静态ip配置可以参考我的这篇文章192.168.150.100 k8s-master01192.168.150.110 k8s-node01192.168.150.120 k8s-node01设置主机名称(重要)hostnamectlset-hostname k8s-master01h
0 机器资源定义
虚拟机我们准备三台CentOS7服务器(一个master,两个node),并且给他们分配静态ip,静态ip配置可以参考我的这篇文章
192.168.150.100 k8s-master01
192.168.150.110 k8s-node01
192.168.150.120 k8s-node01
设置主机名称(重要)
hostnamectl set-hostname k8s-master01
hostnamectl set-hostname k8s-node01
hostnamectl set-hostname k8s-node02
1 配置hosts(重要)
vi /etc/hosts
192.168.67.200 k8s-master01
192.168.67.201 k8s-node01
192.168.67.202 k8s-node01
2 检查系统版本
需要保证系统内核为7.5以上,否则可能会有位置错误
3 关闭安全selinux和swap虚拟内存
swap为虚拟内存,会降低k8s性能,同时也可以减少不必要的安装问题
swapoff -a && sed -i '/ swap / s/^\(.*\)$/#\1/g' /etc/fstab
selinux是linux系统下的一个安全服务,可是安装k8s的时候它的存在并不是一件好事
setenforce 0 && sed -i 's/^SELINUX=.*/SELINUX=disabled/' /etc/selinux/config
4 同步时间
k8s要求各个节点时间强一致
# 启动chronyd服务
[root@master ~]# systemctl start chronyd
[root@master ~]# systemctl enable chronyd
[root@master ~]# date
5 禁用防火墙
kubernetes和docker 在运行的中会产生大量的iptables规则,为了不让系统规则跟它们混淆,直接关闭系统的规则
# 1 关闭firewalld服务
[root@master ~]# systemctl stop firewalld
[root@master ~]# systemctl disable firewalld
# 2 关闭iptables服务
[root@master ~]# systemctl stop iptables
[root@master ~]# systemctl disable iptables
6.修改内核参数
vi /etc/sysctl.d/kubernetes.conf
把下方内容粘贴进去
# 修改linux的内核采纳数,添加网桥过滤和地址转发功能
# 编辑/etc/sysctl.d/kubernetes.conf文件,添加如下配置:
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward = 1
重新加载并检验
# 重新加载配置
[root@master ~]# sysctl -p
# 加载网桥过滤模块
[root@master ~]# modprobe br_netfilter
# 查看网桥过滤模块是否加载成功
[root@master ~]# lsmod | grep br_netfilter
7.配置ipvs
在Kubernetes中Service有两种带来模型,一种是基于iptables的,一种是基于ipvs的两者比较的话,ipvs的性能明显要高一些,但是如果要使用它,需要手动载入ipvs模块
# 1.安装ipset和ipvsadm
[root@master ~]# yum install ipset ipvsadmin -y
# 2.添加需要加载的模块写入脚本文件
[root@master ~]# cat <<EOF> /etc/sysconfig/modules/ipvs.modules
#!/bin/bash
modprobe -- ip_vs
modprobe -- ip_vs_rr
modprobe -- ip_vs_wrr
modprobe -- ip_vs_sh
modprobe -- nf_conntrack_ipv4
EOF
# 3.为脚本添加执行权限
[root@master ~]# chmod +x /etc/sysconfig/modules/ipvs.modules
# 4.执行脚本文件
[root@master ~]# /bin/bash /etc/sysconfig/modules/ipvs.modules
# 5.查看对应的模块是否加载成功
[root@master ~]# lsmod | grep -e ip_vs -e nf_conntrack_ipv4
这里建议给三个节点拍个快照后再继续下面的步骤
8.安装docker
# 1、切换镜像源
wget https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo -O /etc/yum.repos.d/docker-ce.repo
如果没有wget命令可以更新一下yum源,然后使用yum安装
yum update
yum instatll wget
# 2、查看当前镜像源中支持的docker版本(可以跳过安装指定版本即可)
yum list docker-ce --showduplicates
# 3、安装特定版本的docker-ce
# 必须制定--setopt=obsoletes=0,否则yum会自动安装更高版本
[root@master ~]# yum install --setopt=obsoletes=0 docker-ce-18.06.3.ce-3.el7 -y
# 4、添加一个配置文件
#Docker 在默认情况下使用Vgroup Driver为cgroupfs,而Kubernetes推荐使用systemd来替代cgroupfs
[root@master ~]# mkdir /etc/docker
[root@master ~]# cat <<EOF> /etc/docker/daemon.json
{
"exec-opts": ["native.cgroupdriver=systemd"],
"registry-mirrors": ["https://kn0t2bca.mirror.aliyuncs.com"]
}
EOF
# 5、启动dokcer
[root@master ~]# systemctl restart docker
[root@master ~]# systemctl enable docker
这里建议给三个节点拍完快照后继续下面的操作
9.安装k8s组件
# 1、由于kubernetes的镜像在国外,速度比较慢,这里切换成国内的镜像源
vi /etc/yum.repos.d/kubernetes.repo
写入下面的内容
# 2、编辑/etc/yum.repos.d/kubernetes.repo,添加下面的配置
[kubernetes]
name=Kubernetes
baseurl=http://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgchech=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
# 3、安装kubeadm、kubelet和kubectl
yum install --setopt=obsoletes=0 kubeadm-1.17.4-0 kubelet-1.17.4-0 kubectl-1.17.4-0 -y
# 4、配置kubelet的cgroup
#编辑/etc/sysconfig/kubelet, 添加下面的配置
vi /etc/sysconfig/kubelet
KUBELET_CGROUP_ARGS="--cgroup-driver=systemd"
KUBE_PROXY_MODE="ipvs"
# 5、设置kubelet开机自启
systemctl enable kubelet
建议在此处拍过快照后进行下面的操作
10.准备集群镜像
在三个服务器中定义变量并使用for循环下载需要的镜像
images=(
kube-apiserver:v1.17.4
kube-controller-manager:v1.17.4
kube-scheduler:v1.17.4
kube-proxy:v1.17.4
pause:3.1
etcd:3.4.3-0
coredns:1.6.5
)
for imageName in ${images[@]};do
docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/$imageName
docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/$imageName k8s.gcr.io/$imageName
docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/$imageName
done
11.集群初始
下面的操作只需要在master节点上执行即可化
kubeadm init \
--apiserver-advertise-address=你的masterip \
--image-repository registry.aliyuncs.com/google_containers \
--kubernetes-version=v1.17.4 \
--service-cidr=10.96.0.0/12 \
--pod-network-cidr=10.244.0.0/16
创建后我们根据提示创建必要的文件
# 创建必要文件 创建后会给出提示
[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
同时为了让master可以控制node我们也需要根据图片中的提示在node节点中执行相应的命令(下面的要换成自己的)
kubeadm join 192.168.67.200:6443 --token ghlcxv.8rxxw24d7gzlnqcw \
--discovery-token-ca-cert-hash sha256:854071f748b04c41a53961c39902c38749cd643874bc8731a154c99a6d9cc1ea
检验master可以感知到的节点
因为现在还没有在master中安装网络插件所以节点之间还不能进行通信,所以STATUS为NotReady.
kubectl apply -f kube-flannel.yml
注 kube-flannel.yml文件需要单独下载
wget https://raw.githubusercontent.com/coreos/flannel/master/Documentation/kube-flannel.yml
你也可以拷贝下面的内容进行使用,只需要将文件名称改成与命令中一致即可
---
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
运行完毕后需要等待大概两分钟左右,具体时间和虚拟机的配置有关。
k8s环境至安装完毕,建议拍快照后,再进行其他实验学习
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