使用Kubeadm部署kubernetes集群
省略网络，hosts等相关配置
一、主机安全配置
1、关闭firewalld（每台机器）
[root@XXX ~]# systemctl stop firewalld
[root@XXX ~]# systemctl disable firewalld
# 确认是否运行
[root@XXX ~]# firewall-cmd --state
not running
2、SELINUX配置（每台机器）
做出以下配置，一定要重启系统才能生效
[root@XXX ~]# sed -ri 's/SELINUX=enforcing/SELINUX=disabled/' /etc/selinux/config
[root@master local]# cat /etc/selinux/config
# This file controls the state of SELinux on the system.
# SELINUX= can take one of these three values:
# enforcing - SELinux security policy is enforced.
# permissive - SELinux prints warnings instead of enforcing.
# disabled - No SELinux policy is loaded.
SELINUX=disabled
# SELINUXTYPE= can take one of three values:
# targeted - Targeted processes are protected,
# minimum - Modification of targeted policy. Only selected processes are protected.
# mls - Multi Level Security protection.
SELINUXTYPE=targeted
3、主机时间同步（每台机器）
由于最小化安装系统，需要单独安装ntpdate
[root@XXX ~]# yum -y install ntpdate
[root@XXX ~]# crontab -e
0 */1 * * * ntpdate time1.aliyun.com
按 Esc 按： wq 回车
[root@master local]# ntpdate time1.aliyun.com
4 Nov 14:54:54 ntpdate[1637]: adjust time server 203.107.6.88 offset 0.238380 sec
4、永久关闭swap分区（每台机器）
使用kubeadm部署必须关闭swap分区，修改配置文件后
需要重启操作系统。如果安装centOS7的时候选择的是自动创建分区，那么是一定会创建swap分区的。
#打开编辑并注释掉相关内容
[root@node2 local]# vim /etc/fstab
#
# /etc/fstab
# Created by anaconda on Wed Sep 16 18:50:24 2020
#
# Accessible filesystems, by reference, are maintained under '/dev/disk'
# See man pages fstab(5), findfs(8), mount(8) and/or blkid(8) for more info
#
/dev/mapper/centos-root / xfs defaults 0 0
UUID=71a3a2c7-1e60-4bc6-b641-8e82b3d1e79b /boot xfs defaults 0 0
#/dev/mapper/centos-swap swap swap defaults 0 0
#保存，退出
#使用命令查看，此时是还有的，因为没有重启
[root@node2 local]# free -m
total used free shared buff/cache available
Mem: 3770 138 3456 11 175 3421
Swap: 2047 0 2047
# 重启
[root@node2 local]# reboot
# 重启完毕后再次查看
[root@node1 ~]# free -m
total used free shared buff/cache available
Mem: 3770 134 3448 11 187 3419
Swap: 0 0 0
5、添加网桥过滤（每台机器）
目的是为了实现内核的过滤
# 添加网桥过滤及地址转发
[root@master ~]# vim /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward = 1
vm.swappiness = 0
# 加载br_netfilter模块
[root@master ~]# modprobe br_netfilter
[root@master ~]# lsmod | grep br_netfilter
br_netfilter 22256 0
bridge 151336 1 br_netfilter
# 加载网桥过滤配置文件
[root@master ~]# sysctl -p /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward = 1
vm.swappiness = 0
6、开启ipvs（每台机器）
ipvs比iptables的转换效率要高，这里就直接部署ipvs就可以了
# 安装ipset以及ipvsadm
[root@master ~]# yum -y install ipset ipvsadm
#添加需要加载的模块（直接复制下面所有内容，粘贴到命令行中）
cat > /etc/sysconfig/modules/ipvs.modules <<EOF
#!/bin/bash
modprobe -- ip_vs
modprobe -- ip_vs_rr
modprobe -- ip_vs_wrr
modprobe -- ip_vs_sh
modprobe -- nf_conntrack_ipv4
EOF
#验证一下
[root@master ~]# ll /etc/sysconfig/modules/
总用量 4
-rw-r--r-- 1 root root 130 11月 4 15:22 ipvs.modules
# 修改权限
[root@master ~]# chmod 755 /etc/sysconfig/modules/ipvs.modules
#执行
[root@master ~]# sh /etc/sysconfig/modules/ipvs.modules
#验证其中一个
[root@master ~]# lsmod | grep ip_vs_rr
ip_vs_rr 12600 0
ip_vs 145497 6 ip_vs_rr,ip_vs_sh,ip_vs_wrr
7、在manager节点及work节点安装指定版本的docker-ce（每台机器都要操作）
Kubsernetes不能直接管理容器，它最小的管理单元是pod，pod是可以管理相关容器，因此，K8s需要借助于docker这种容器管理工具来完成容器的管理。
yum源获取，建议使用清华镜像源，官方提供的镜像由于网络速度原因下载较慢
[root@master ~]# wget -O /etc/yum.repos.d/docker-ce.repo https://mirrors.tuna.tsinghua.edu.cn/docker-ce/linux/ce
ntos/docker-ce.repo--2020-11-06 11:35:06-- https://mirrors.tuna.tsinghua.edu.cn/docker-ce/linux/centos/docker-ce.repo
正在解析主机 mirrors.tuna.tsinghua.edu.cn (mirrors.tuna.tsinghua.edu.cn)... 101.6.8.193, 2402:f000:1:408:8100::1
正在连接 mirrors.tuna.tsinghua.edu.cn (mirrors.tuna.tsinghua.edu.cn)|101.6.8.193|:443... 已连接。
已发出 HTTP 请求，正在等待回应... 200 OK
长度：1919 (1.9K) [application/octet-stream]
正在保存至: “/etc/yum.repos.d/docker-ce.repo”
100%[======================================================================>] 1,919 --.-K/s 用时 0s
2020-11-06 11:35:07 (583 MB/s) - 已保存 “/etc/yum.repos.d/docker-ce.repo” [1919/1919])
# 查看yum源
[root@master ~]# ls /etc/yum.repos.d/
CentOS-Base.repo CentOS-Debuginfo.repo CentOS-Media.repo CentOS-Vault.repo docker-ce.repo
CentOS-CR.repo CentOS-fasttrack.repo CentOS-Sources.repo CentOS-x86_64-kernel.repo
# docker yum源的排序，这里我们使用18.06.3.ce-3.el7这个版本
[root@master ~]# yum list docker-ce.x86_64 --showduplicates | sort -r
# 安装指定docker
[root@master ~]# yum -y install --setopt=obsoletes=0 docker-ce-18.06.3.ce-3.el7
# 颜值一下docker版本
[root@master ~]# docker version
Client:
Version: 18.06.3-ce
API version: 1.38
Go version: go1.10.3
Git commit: d7080c1
Built: Wed Feb 20 02:26:51 2019
OS/Arch: linux/amd64
Experimental: false
Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running?
# 设置为开机自启动
[root@master ~]# systemctl enable docker
Created symlink from /etc/systemd/system/multi-user.target.wants/docker.service to /usr/lib/systemd/system/docke
r.service.
# 启动docker
[root@master ~]# systemctl start docker
# 再次查看会包含服务器版本
[root@master ~]# docker version
Client:
Version: 18.06.3-ce
API version: 1.38
Go version: go1.10.3
Git commit: d7080c1
Built: Wed Feb 20 02:26:51 2019
OS/Arch: linux/amd64
Experimental: false
Server:
Engine:
Version: 18.06.3-ce
API version: 1.38 (minimum version 1.12)
Go version: go1.10.3
Git commit: d7080c1
Built: Wed Feb 20 02:28:17 2019
OS/Arch: linux/amd64
Experimental: false
8、修改docker-ce服务配置文件
修改其目的是为了后续使用/etc/docker/daemon.json来进行更多配置
#修改内容如下 注意：有些版本不需要修改，请注意观察
[root@XXX ~]# cat /usr/lib/systemd/system/docker.service
[Unit]
...
[Service]
...
ExecStart=/usr/bin/dockerd #如果原文件此行后面 有-H选项，请删除-H(含)后面所有内容。
...
[Install]
...
# 添加daemon.josn文件
[root@node1 ~]# vim /etc/docker/daemon.json
{
"exec-opts": ["native.cgroupdriver=systemd"]
}
# 对docker进行重启操作
[root@master ~]# systemctl restart docker
# 查看有没有启动
[root@master ~]# systemctl status docker
● docker.service - Docker Application Container Engine
Loaded: loaded (/usr/lib/systemd/system/docker.service; enabled; vendor preset: disabled)
Active: active (running) since 五 2020-11-06 15:13:47 CST; 53s ago
Docs: https://docs.docker.com
Main PID: 10633 (dockerd)
Tasks: 22
Memory: 46.8M
CGroup: /system.slice/docker.service
├─10633 /usr/bin/dockerd
└─10640 docker-containerd --config
...
9、部署软件及配置
所有k8s集群节点均需安装，默认yum源是谷歌，可以使用阿里云yum
| 需求 | kubeadm | kubelet | kubectl | docker-ce |
|---|---|---|---|---|
| 值 | 初始化集群、管理集群等，版本为：1.17.2 | 用于接收api-server指令，对pod生命周期进行管理，版本为：1.17.2 | 集群命令行管理工具，版本为：1.17.2 | 18.06.3 |
# 谷歌yum源
[kubernetes]
name=Kubernetes
baseurl=https://packages.cloud.google.com/yum /repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=1
repo_gpgcheck=1
gpgkey=https://packages.cloud.google.com/yum/doc/yum-key.gpg https://packages.cloud.google.com/yum/doc/rpm-package-key.gpg
# 阿里云yum源
[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
# 新建文件（每台机器）
[root@master ~]# vim /etc/yum.repos.d/k8s.repo
[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
:wq 保存退出
# 检查yum源是否可用（每台机器）
[root@master ~]# yum list | grep kubeadm
导入 GPG key 0xA7317B0F:
用户ID : "Google Cloud Packages Automatic Signing Key <gc-team@google.com>"
指纹 : d0bc 747f d8ca f711 7500 d6fa 3746 c208 a731 7b0f
来自 : https://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg
y
kubeadm.x86_64 1.19.3-0 kubernetes
# 安装
[root@master ~]# yum -y install kubeadm kubelet kubectl
9.1 修改kubelet相关配置
主要配置kubelet，如果不配置可能会导致k8s集群无法启动
# 为了实现docker使用的cgroupdriver与kubelet使用的 cgroup的一致性，建议修改如下文件内容。
[root@XXX ~]# vim /etc/sysconfig/kubelet
KUBELET_EXTRA_ARGS="--cgroup-driver=systemd"
# 设置为开机启动，注意:这里千万不要去手动启动它，它的启动是由kubeadm初始化的时候启动
[root@master ~]# systemctl enable kubelet
Created symlink from /etc/systemd/system/multi-user.target.wants/kubelet.service to /usr/lib/systemd/system/kube
let.service.
9.2 k8s集群容器镜像准备
由于使用kubeadm部署集群，集群所有核心组件均以Pod运行，需要为主机准备镜像，不同角色主机准备不同的镜像。
Master主机镜像
# 在master主机上操作
# 查看集群使用的容器镜像
[root@master ~]# kubeadm config images list
W1108 17:10:38.408422 11402 configset.go:348] WARNING: kubeadm cannot validate component configs for API groups [ku
belet.config.k8s.io kubeproxy.config.k8s.io]k8s.gcr.io/kube-apiserver:v1.19.3
k8s.gcr.io/kube-controller-manager:v1.19.3
k8s.gcr.io/kube-scheduler:v1.19.3
k8s.gcr.io/kube-proxy:v1.19.3
k8s.gcr.io/pause:3.2
k8s.gcr.io/etcd:3.4.13-0
k8s.gcr.io/coredns:1.7.0
# 创建一个python下载脚本，shell脚本都可以，主要是实现国内镜像拉取改名字，删除原来的（这里很多小伙伴直接拉取镜像是不可以的，需要翻墙）
[root@master ~]# vim kubeadm_images.py
#! /usr/bin/python3
import os
images=[
"kube-apiserver:v1.19.3",
"kube-controller-manager:v1.19.3",
"kube-scheduler:v1.19.3",
"kube-proxy:v1.19.3",
"pause:3.2",
"etcd:3.4.13-0",
"coredns:1.7.0",
]
for i in images:
pullCMD = "docker pull registry.cn-hangzhou.aliyuncs.com/google_containers/{}".format(i)
print("run cmd '{}', please wait ...".format(pullCMD))
os.system(pullCMD)
tagCMD = "docker tag registry.cn-hangzhou.aliyuncs.com/google_containers/{} k8s.gcr.io/{}".format(i, i)
print("run cmd '{}', please wait ...".format(tagCMD ))
os.system(tagCMD)
rmiCMD = "docker rmi registry.cn-hangzhou.aliyuncs.com/google_containers/{}".format(i)
print("run cmd '{}', please wait ...".format(rmiCMD ))
os.system(rmiCMD)
# 执行脚本
[root@master ~]# python kubeadm_images.py
# 查看已下载的镜像
[root@master ~]# docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
k8s.gcr.io/kube-proxy v1.19.3 cdef7632a242 3 weeks ago 118MB
k8s.gcr.io/kube-apiserver v1.19.3 a301be0cd44b 3 weeks ago 119MB
k8s.gcr.io/kube-controller-manager v1.19.3 9b60aca1d818 3 weeks ago 111MB
k8s.gcr.io/kube-scheduler v1.19.3 aaefbfa906bd 3 weeks ago 45.7MB
k8s.gcr.io/etcd 3.4.13-0 0369cf4303ff 2 months ago 253MB
k8s.gcr.io/coredns 1.7.0 bfe3a36ebd25 4 months ago 45.2MB
k8s.gcr.io/pause 3.2 80d28bedfe5d 8 months ago 683kB
Worker主机镜像（涉及docker基础中的制作镜像和load镜像）
只需要两个镜像
# master节点操作
# 制作第一个镜像
[root@master ~]# docker save -o kube-p.tar k8s.gcr.io/kube-proxy:v1.19.3
[root@master ~]# ls
anaconda-ks.cfg kubeadm_images.py kube-p.tar
# 制作第二个镜像
[root@master ~]# docker save -o p.tar k8s.gcr.io/pause:3.2
[root@master ~]# ls
anaconda-ks.cfg kubeadm_images.py kube-p.tar p.tar
# 拷贝到worker1和worker2节点
[root@master ~]# scp kube-p.tar p.tar node1:/root
kube-p.tar 100% 114MB 28.5MB/s 00:04
p.tar 100% 677KB 24.2MB/s 00:00
[root@master ~]# scp kube-p.tar p.tar node2:/root
kube-p.tar 100% 114MB 16.3MB/s 00:07
p.tar 100% 677KB 23.1MB/s 00:00
# 分别在另外两个节点中加载刚刚传输过来的jar包，也就是我们的镜像
[root@node2 ~]# ls
anaconda-ks.cfg kube-p.tar p.tar
您在 /var/spool/mail/root 中有新邮件
[root@node2 ~]# docker load -i kube-p.tar
91e3a07063b3: Loading layer [==================================================>] 53.89MB/53.89MB
b4e54f331697: Loading layer [==================================================>] 21.78MB/21.78MB
b9b82a97c787: Loading layer [==================================================>] 5.168MB/5.168MB
1b55846906e8: Loading layer [==================================================>] 4.608kB/4.608kB
061bfb5cb861: Loading layer [==================================================>] 8.192kB/8.192kB
78dd6c0504a7: Loading layer [==================================================>] 8.704kB/8.704kB
f1b0b899d419: Loading layer [==================================================>] 38.81MB/38.81MB
Loaded image: k8s.gcr.io/kube-proxy:v1.19.3
[root@node2 ~]# docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
k8s.gcr.io/kube-proxy v1.19.3 cdef7632a242 3 weeks ago 118MB
[root@node2 ~]# docker load -i p.tar
ba0dae6243cc: Loading layer [==================================================>] 684.5kB/684.5kB
Loaded image: k8s.gcr.io/pause:3.2
[root@node2 ~]# docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
k8s.gcr.io/kube-proxy v1.19.3 cdef7632a242 3 weeks ago 118MB
k8s.gcr.io/pause 3.2 80d28bedfe5d 8 months ago 683kB
9.3 K8s集群初始化
在master节点上操作
# kubeadm初始化（生成证书，注意：将生成的日志全部 复制下来后面需要用到）
[root@master ~]# kubeadm init --kubernetes-version=v1.19.3 --pod-network-cidr=172.16.0.0/16 --apiserver-advertise-add
runknown flag: --apiserver-advertise-addr
To see the stack trace of this error execute with --v=5 or higher
[root@master ~]# kubeadm init --kubernetes-version=v1.19.3 --pod-network-cidr=172.16.0.0/16 --apiserver-advertise-add
ress=192.168.177.135W1108 17:48:12.509898 14299 configset.go:348] WARNING: kubeadm cannot validate component configs for API groups [ku
belet.config.k8s.io kubeproxy.config.k8s.io][init] Using Kubernetes version: v1.19.3
[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'
[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 [kubernetes kubernetes.default kubernetes.default.svc kubernet
es.default.svc.cluster.local master] and IPs [10.96.0.1 192.168.177.135][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 [localhost master] and IPs [192.168.177.135 127.0.0.1 ::1]
[certs] Generating "etcd/peer" certificate and key
[certs] etcd/peer serving cert is signed for DNS names [localhost master] and IPs [192.168.177.135 127.0.0.1 ::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
[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
[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/kuberne
tes/manifests". This can take up to 4m0s[apiclient] All control plane components are healthy after 16.002852 seconds
[upload-config] Storing the configuration used in ConfigMap "kubeadm-config" in the "kube-system" Namespace
[kubelet] Creating a ConfigMap "kubelet-config-1.19" 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:No
Schedule][bootstrap-token] Using token: ttd325.fkw9ksxtbnfbd5kx
[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 te
rm certificate credentials[bootstrap-token] configured RBAC rules to allow the csrapprover controller automatically approve CSRs from a Node Bo
otstrap 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 192.168.177.135:6443 --token ttd325.fkw9ksxtbnfbd5kx
--discovery-token-ca-cert-hash sha256:0e273db3742cf2f7d981e550fa0e7b830004b3f41e8712af5aa975ce2823da63
# 将上面的输出信息复制完保存在桌面上后继续操作
# 准备集群管理文件
[root@master ~]# mkdir .kube
[root@master ~]# cp -i /etc/kubernetes/admin.conf .kube/config
[root@master ~]# ll .kube/config
-rw------- 1 root root 5567 11月 8 17:55 .kube/config
# 网络配置（网络插件的使用）
[root@master ~]# scp -r calico-39 node1:/root
calico-cni.tar 100% 156MB 22.2MB/s 00:07
calico-node.tar 100% 186MB 18.6MB/s 00:10
calico.yml 100% 21KB 4.2MB/s 00:00
kube-controllers.tar 100% 48MB 24.1MB/s 00:02
pod2daemon-flexvol.tar 100% 9821KB 37.3MB/s 00:00
[root@master ~]# scp -r calico-39 node2:/root
calico-cni.tar 100% 156MB 25.9MB/s 00:06
calico-node.tar 100% 186MB 20.6MB/s 00:09
calico.yml 100% 21KB 1.9MB/s 00:00
kube-controllers.tar 100% 48MB 24.1MB/s 00:02
pod2daemon-flexvol.tar 100% 9821KB 49.6MB/s 00:00
[root@master ~]# ll
总用量 117580
-rw-------. 1 root root 1271 9月 16 18:54 anaconda-ks.cfg
drwxr-xr-x 2 root root 127 11月 8 17:59 calico-39
-rw-r--r-- 1 root root 786 11月 8 17:15 kubeadm_images.py
-rw------- 1 root root 119695360 11月 8 17:22 kube-p.tar
-rw------- 1 root root 692736 11月 8 17:24 p.tar
# 镜像准备（每台机器都要操作）
[root@master calico-39]# ll
总用量 408720
-rw-r--r-- 1 root root 163265024 11月 8 17:59 calico-cni.tar
-rw-r--r-- 1 root root 194709504 11月 8 17:59 calico-node.tar
-rw-r--r-- 1 root root 21430 11月 8 17:59 calico.yml
-rw-r--r-- 1 root root 50465280 11月 8 17:59 kube-controllers.tar
-rw-r--r-- 1 root root 10056192 11月 8 17:59 pod2daemon-flexvol.tar
[root@master calico-39]# docker load -i calico-cni.tar
1c95c77433e8: Loading layer [==================================================>] 72.47MB/72.47MB
f919277f01fb: Loading layer [==================================================>] 90.76MB/90.76MB
0094c919faf3: Loading layer [==================================================>] 10.24kB/10.24kB
9e1263ee4198: Loading layer [==================================================>] 2.56kB/2.56kB
Loaded image: calico/cni:v3.9.0
[root@master calico-39]# docker load -i calico-node.tar
538afb24c98b: Loading layer [==================================================>] 33.76MB/33.76MB
85b8bbfa3535: Loading layer [==================================================>] 3.584kB/3.584kB
7a653a5cb14b: Loading layer [==================================================>] 3.584kB/3.584kB
97cc86557fed: Loading layer [==================================================>] 21.86MB/21.86MB
3abae82a71aa: Loading layer [==================================================>] 11.26kB/11.26kB
7c85b99e7c27: Loading layer [==================================================>] 11.26kB/11.26kB
0e20735d7144: Loading layer [==================================================>] 6.55MB/6.55MB
2e3dede6195a: Loading layer [==================================================>] 2.975MB/2.975MB
f85ff1d9077d: Loading layer [==================================================>] 55.87MB/55.87MB
9d55754fd45b: Loading layer [==================================================>] 1.14MB/1.14MB
Loaded image: calico/node:v3.9.0
[root@master calico-39]# docker load -i kube-controllers.tar
fd6ffbcdb09f: Loading layer [==================================================>] 47.35MB/47.35MB
9c4005f3e0bc: Loading layer [==================================================>] 3.104MB/3.104MB
Loaded image: calico/kube-controllers:v3.9.0
[root@master calico-39]# docker load -i pod2daemon-flexvol.tar
3fc64803ca2d: Loading layer [==================================================>] 4.463MB/4.463MB
3aff8caf48a7: Loading layer [==================================================>] 5.12kB/5.12kB
89effeea5ce5: Loading layer [==================================================>] 5.572MB/5.572MB
Loaded image: calico/pod2daemon-flexvol:v3.9.0
[root@master calico-39]# docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
k8s.gcr.io/kube-proxy v1.19.3 cdef7632a242 3 weeks ago 118MB
k8s.gcr.io/kube-scheduler v1.19.3 aaefbfa906bd 3 weeks ago 45.7MB
k8s.gcr.io/kube-apiserver v1.19.3 a301be0cd44b 3 weeks ago 119MB
k8s.gcr.io/kube-controller-manager v1.19.3 9b60aca1d818 3 weeks ago 111MB
k8s.gcr.io/etcd 3.4.13-0 0369cf4303ff 2 months ago 253MB
k8s.gcr.io/coredns 1.7.0 bfe3a36ebd25 4 months ago 45.2MB
k8s.gcr.io/pause 3.2 80d28bedfe5d 8 months ago 683kB
calico/node v3.9.0 f9d62fb5edb1 14 months ago 190MB
calico/pod2daemon-flexvol v3.9.0 aa79ce3237eb 14 months ago 9.78MB
calico/cni v3.9.0 56c7969ed8e6 14 months ago 160MB
calico/kube-controllers v3.9.0 f5cc48269a09 14 months ago 50.4MB
# 只需在master节点中修改calico的yml文件
# 由于calico自身网络发现机制有问题，因为需要修改 calico使用的物理网卡，添加607及608行，修改620行
[root@master calico-39]# vim calico.yml
604 # Auto-detect the BGP IP address.
605 - name: IP
606 value: "autodetect"
607 - name: IP_AUTODETECTION_METHOD
608 value: "interface=ens.*"
609 # Enable IPIP
610 - name: CALICO_IPV4POOL_IPIP
611 value: "Always"
612 # Set MTU for tunnel device used if ipip is enabled
613 - name: FELIX_IPINIPMTU
614 valueFrom:
615 configMapKeyRef:
616 name: calico-config
617 key: veth_mtu
618 # The default IPv4 pool to create on startup if none exists. Pod IPs will be
619 # chosen from this range. Changing this value after installation will have
620 # no effect. This should fall within `--cluster-cidr`.
621 - name: CALICO_IPV4POOL_CIDR
622 value: "172.16.0.0/16"
# 应用calico资源清文件
[root@master calico-39]# kubectl apply -f calico.yml
# 添加工作节点到集群（注意：只需要在工作节点执行，并且回到主目录，执行的命令就是上面输出复制的最后一行，比对进行复制，如下是成功的输出）
[root@node1 ~]# kubeadm join 192.168.177.135:6443 --token ttd325.fkw9ksxtbnfbd5kx
> --discovery-token-ca-cert-hash sha256:0e273db3742cf2f7d981e550fa0e7b830004b3f41e8712af5aa975ce2823da63
[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] 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.
验证K8s集群可用性方法(必须是在master节点上操作)
[root@master calico-39]# kubectl get nodes
NAME STATUS ROLES AGE VERSION
master Ready master 29m v1.19.3
node1 Ready <none> 2m30s v1.19.3
node2 Ready <none> 2m25s v1.19.3
# 查看集群健康状态
[root@master ~]# kubectl get cs
Warning: v1 ComponentStatus is deprecated in v1.19+
NAME STATUS MESSAGE ERROR
controller-manager Healthy ok
scheduler Healthy ok
etcd-0 Healthy {"health":"true"}
[root@master ~]# kubectl cluster-info
Kubernetes master is running at https://192.168.177.135:6443
KubeDNS is running at https://192.168.177.135:6443/api/v1/namespaces/kube-system/services/kube-dns:dns/proxy
To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.
出错修改：
在我们正常安装kubernetes1.18.6之后，可能会出现一下错误：
[root@k8s-master manifests]# kubectl get cs
NAME STATUS MESSAGE ERROR
scheduler Unhealthy Get http://127.0.0.1:10251/healthz: dial tcp 127.0.0.1:10251: connect: connection refused
controller-manager Unhealthy Get http://127.0.0.1:10252/healthz: dial tcp 127.0.0.1:10252: connect: connection refused
etcd-0 Healthy {"health":"true"}
出现这种情况，是/etc/kubernetes/manifests下的kube-controller-manager.yaml和kube-scheduler.yaml设置的默认端口是0，在文件中注释掉就可以了
kube-controller-manager.yaml文件修改：注释掉27行
1 apiVersion: v1
2 kind: Pod
3 metadata:
4 creationTimestamp: null
5 labels:
6 component: kube-controller-manager
7 tier: control-plane
8 name: kube-controller-manager
9 namespace: kube-system
10 spec:
11 containers:
12 - command:
13 - kube-controller-manager
14 - --allocate-node-cidrs=true
15 - --authentication-kubeconfig=/etc/kubernetes/controller-manager.conf
16 - --authorization-kubeconfig=/etc/kubernetes/controller-manager.conf
17 - --bind-address=127.0.0.1
18 - --client-ca-file=/etc/kubernetes/pki/ca.crt
19 - --cluster-cidr=10.244.0.0/16
20 - --cluster-name=kubernetes
21 - --cluster-signing-cert-file=/etc/kubernetes/pki/ca.crt
22 - --cluster-signing-key-file=/etc/kubernetes/pki/ca.key
23 - --controllers=*,bootstrapsigner,tokencleaner
24 - --kubeconfig=/etc/kubernetes/controller-manager.conf
25 - --leader-elect=true
26 - --node-cidr-mask-size=24
27 # - --port=0
28 - --requestheader-client-ca-file=/etc/kubernetes/pki/front-proxy-ca.crt
29 - --root-ca-file=/etc/kubernetes/pki/ca.crt
30 - --service-account-private-key-file=/etc/kubernetes/pki/sa.key
31 - --service-cluster-ip-range=10.1.0.0/16
32 - --use-service-account-credentials=true
kube-scheduler.yaml配置修改：注释掉19行
1 apiVersion: v1
2 kind: Pod
3 metadata:
4 creationTimestamp: null
5 labels:
6 component: kube-scheduler
7 tier: control-plane
8 name: kube-scheduler
9 namespace: kube-system
10 spec:
11 containers:
12 - command:
13 - kube-scheduler
14 - --authentication-kubeconfig=/etc/kubernetes/scheduler.conf
15 - --authorization-kubeconfig=/etc/kubernetes/scheduler.conf
16 - --bind-address=127.0.0.1
17 - --kubeconfig=/etc/kubernetes/scheduler.conf
18 - --leader-elect=true
19 # - --port=0
然后三台机器均重启kubelet
[root@k8s-master ]# systemctl restart kubelet.service
再次查看，就正常啦
[root@k8s-master manifests]# kubectl get cs
NAME STATUS MESSAGE ERROR
scheduler Healthy ok
controller-manager Healthy ok
etcd-0 Healthy {"health":"true"}