Kubernetes/K8S部署之kubeadm

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Kubernetes/K8S部署之kubeadm

安装K8S

环境

CentOS7.6

内存>2G

服务器两台及以上

IP 角色 安装软件
192.168.10.39 k8s-master docker
flannel
kubelet
kube-apiserver
kube-schduler
kube-controller-manager
192.168.10.40 k8s-node01 docker
flannel
kubelet
kube-proxy

镜像源

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cd /etc/yum.repos.d
mkdir bak
mv *.repo bak/

CentOS-Base.repo

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vi CentOS-Base.repo

内容如下

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# CentOS-Base.repo
#
# The mirror system uses the connecting IP address of the client and the
# update status of each mirror to pick mirrors that are updated to and
# geographically close to the client.  You should use this for CentOS updates
# unless you are manually picking other mirrors.
#
# If the mirrorlist= does not work for you, as a fall back you can try the 
# remarked out baseurl= line instead.
#
 
[base]
name=CentOS-$releasever - Base - mirrors.aliyun.com
failovermethod=priority
baseurl=http://mirrors.aliyun.com/centos/$releasever/os/$basearch/
        http://mirrors.aliyuncs.com/centos/$releasever/os/$basearch/
        http://mirrors.cloud.aliyuncs.com/centos/$releasever/os/$basearch/
gpgcheck=1
gpgkey=http://mirrors.aliyun.com/centos/RPM-GPG-KEY-CentOS-7
 
#released updates 
[updates]
name=CentOS-$releasever - Updates - mirrors.aliyun.com
failovermethod=priority
baseurl=http://mirrors.aliyun.com/centos/$releasever/updates/$basearch/
        http://mirrors.aliyuncs.com/centos/$releasever/updates/$basearch/
        http://mirrors.cloud.aliyuncs.com/centos/$releasever/updates/$basearch/
gpgcheck=1
gpgkey=http://mirrors.aliyun.com/centos/RPM-GPG-KEY-CentOS-7
 
#additional packages that may be useful
[extras]
name=CentOS-$releasever - Extras - mirrors.aliyun.com
failovermethod=priority
baseurl=http://mirrors.aliyun.com/centos/$releasever/extras/$basearch/
        http://mirrors.aliyuncs.com/centos/$releasever/extras/$basearch/
        http://mirrors.cloud.aliyuncs.com/centos/$releasever/extras/$basearch/
gpgcheck=1
gpgkey=http://mirrors.aliyun.com/centos/RPM-GPG-KEY-CentOS-7
 
#additional packages that extend functionality of existing packages
[centosplus]
name=CentOS-$releasever - Plus - mirrors.aliyun.com
failovermethod=priority
baseurl=http://mirrors.aliyun.com/centos/$releasever/centosplus/$basearch/
        http://mirrors.aliyuncs.com/centos/$releasever/centosplus/$basearch/
        http://mirrors.cloud.aliyuncs.com/centos/$releasever/centosplus/$basearch/
gpgcheck=1
enabled=0
gpgkey=http://mirrors.aliyun.com/centos/RPM-GPG-KEY-CentOS-7
 
#contrib - packages by Centos Users
[contrib]
name=CentOS-$releasever - Contrib - mirrors.aliyun.com
failovermethod=priority
baseurl=http://mirrors.aliyun.com/centos/$releasever/contrib/$basearch/
        http://mirrors.aliyuncs.com/centos/$releasever/contrib/$basearch/
        http://mirrors.cloud.aliyuncs.com/centos/$releasever/contrib/$basearch/
gpgcheck=1
enabled=0
gpgkey=http://mirrors.aliyun.com/centos/RPM-GPG-KEY-CentOS-7

epel-7.repo

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vi epel-7.repo

如下

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[epel]
name=Extra Packages for Enterprise Linux 7 - $basearch
baseurl=http://mirrors.aliyun.com/epel/7/$basearch
failovermethod=priority
enabled=1
gpgcheck=0
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-EPEL-7
 
[epel-debuginfo]
name=Extra Packages for Enterprise Linux 7 - $basearch - Debug
baseurl=http://mirrors.aliyun.com/epel/7/$basearch/debug
failovermethod=priority
enabled=0
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-EPEL-7
gpgcheck=0
 
[epel-source]
name=Extra Packages for Enterprise Linux 7 - $basearch - Source
baseurl=http://mirrors.aliyun.com/epel/7/SRPMS
failovermethod=priority
enabled=0
gpgkey=file:///etc/pki/rpm-gpg/RPM-GPG-KEY-EPEL-7
gpgcheck=0

docker-ce.repo

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vi docker-ce.repo

如下

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[docker-ce-stable]
name=Docker CE Stable - $basearch
baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/$basearch/stable
enabled=1
gpgcheck=1
gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg

[docker-ce-stable-debuginfo]
name=Docker CE Stable - Debuginfo $basearch
baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/debug-$basearch/stable
enabled=0
gpgcheck=1
gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg

[docker-ce-stable-source]
name=Docker CE Stable - Sources
baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/source/stable
enabled=0
gpgcheck=1
gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg

[docker-ce-edge]
name=Docker CE Edge - $basearch
baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/$basearch/edge
enabled=1
gpgcheck=1
gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg

[docker-ce-edge-debuginfo]
name=Docker CE Edge - Debuginfo $basearch
baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/debug-$basearch/edge
enabled=0
gpgcheck=1
gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg

[docker-ce-edge-source]
name=Docker CE Edge - Sources
baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/source/edge
enabled=0
gpgcheck=1
gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg

[docker-ce-test]
name=Docker CE Test - $basearch
baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/$basearch/test
enabled=0
gpgcheck=1
gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg

[docker-ce-test-debuginfo]
name=Docker CE Test - Debuginfo $basearch
baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/debug-$basearch/test
enabled=0
gpgcheck=1
gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg

[docker-ce-test-source]
name=Docker CE Test - Sources
baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/source/test
enabled=0
gpgcheck=1
gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg

[docker-ce-nightly]
name=Docker CE Nightly - $basearch
baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/$basearch/nightly
enabled=0
gpgcheck=1
gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg

[docker-ce-nightly-debuginfo]
name=Docker CE Nightly - Debuginfo $basearch
baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/debug-$basearch/nightly
enabled=0
gpgcheck=1
gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg

[docker-ce-nightly-source]
name=Docker CE Nightly - Sources
baseurl=https://mirrors.aliyun.com/docker-ce/linux/centos/7/source/nightly
enabled=0
gpgcheck=1
gpgkey=https://mirrors.aliyun.com/docker-ce/linux/centos/gpg

kubernetes.repo

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vi kubernetes.repo

如下

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[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

安装Docker

所有主机上均安装

安装Docker 

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# 卸载旧版本(如果安装过旧版本的话)
yum remove docker  docker-common docker-selinux docker-engine
yum makecache
yum list docker-ce --showduplicates
yum -y install docker-ce-18.06.1.ce-3.el7
systemctl enable docker && systemctl start docker

# 查看版本
docker --version
# 或者
docker version

显示Docker版本

Docker version 18.06.1-ce, build e68fc7a

如果报错

获取 GPG 密钥失败：[Errno 14] curl#7 - “Failed to connect to 2600:9000:2003:ca00:3:db06:4200:93a1: Network is unreachable”

解决方法

查看系统版本

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cat /etc/redhat-release

从 mirrors.163.com 找到系统对应密钥

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rpm --import http://mirrors.163.com/centos/RPM-GPG-KEY-CentOS-7

针对Docker客户端版本大于 1.10.0 的用户

创建或修改 /etc/docker/daemon.json 文件

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vi /etc/docker/daemon.json

添加或修改

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{
    "registry-mirrors": ["https://tiaudqrq.mirror.aliyuncs.com"]
}

重启Docker

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systemctl daemon-reload
systemctl restart docker.service

环境初始化

所有主机上均安装

所有节点加载ipvs模块

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modprobe ip_vs
modprobe ip_vs_rr
modprobe ip_vs_wrr
modprobe ip_vs_sh
modprobe nf_conntrack_ipv4

关闭防火墙及selinux

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systemctl stop firewalld && systemctl disable firewalld
sed -i 's/^SELINUX=.*/SELINUX=disabled/' /etc/selinux/config  && setenforce 0

关闭 swap 分区

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swapoff -a # 临时
sed -i '/ swap / s/^\(.*\)$/#\1/g' /etc/fstab #永久

设置主机名及配置hosts

192.168.10.39 上执行

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hostnamectl set-hostname k8s-master

192.168.10.40 上执行

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hostnamectl set-hostname k8s-node01

在所有主机上上添加如下命令

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cat >> /etc/hosts << EOF
192.168.10.39 k8s-master
192.168.10.40 k8s-node01
EOF

内核调整,将桥接的IPv4流量传递到iptables的链

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cat <<EOF | sudo tee /etc/modules-load.d/k8s.conf
br_netfilter
EOF

cat <<EOF | sudo tee /etc/sysctl.d/k8s.conf
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
EOF
sudo sysctl --system

设置系统时区并同步时间服务器

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yum install -y ntpdate && \
ntpdate time.windows.com

检查所需端口

控制平面节点

协议 方向 端口范围 作用 使用者
TCP 入站 6443 Kubernetes API 服务器 所有组件
TCP 入站 2379-2380 etcd 服务器客户端 API kube-apiserver, etcd
TCP 入站 10250 Kubelet API kubelet 自身、控制平面组件
TCP 入站 10251 kube-scheduler kube-scheduler 自身
TCP 入站 10252 kube-controller-manager kube-controller-manager 自身

工作节点

协议 方向 端口范围 作用 使用者
TCP 入站 10250 Kubelet API kubelet 自身、控制平面组件
TCP 入站 30000-32767 NodePort 服务 所有组件

安装K8S

所有主机上均安装

Ubuntu

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apt-get update && apt-get install -y apt-transport-https
curl https://mirrors.aliyun.com/kubernetes/apt/doc/apt-key.gpg | apt-key add - 
cat <<EOF | sudo tee /etc/apt/sources.list.d/kubernetes.list
deb https://mirrors.aliyun.com/kubernetes/apt/ kubernetes-xenial main
EOF
sudo apt-get update
sudo apt-get install -y kubelet kubeadm kubectl
sudo apt-mark hold kubelet kubeadm kubectl

CentOS

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cat <<EOF | sudo tee /etc/yum.repos.d/kubernetes.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
EOF

yum install -y kubelet-1.20.4 kubeadm-1.20.4 kubectl-1.20.4
systemctl enable kubelet && systemctl start kubelet

如果安装前有旧版本先调用卸载

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kubeadm reset
yum remove -y kubelet-1.15.0 kubeadm-1.15.0 kubectl-1.15.0

查看

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kubectl version --client

你需要在每台机器上安装以下的软件包：

  • kubeadm：用来初始化集群的指令。
  • kubelet：在集群中的每个节点上用来启动 Pod 和容器等。
  • kubectl：用来与集群通信的命令行工具。

准备镜像

获取kubeadm需要的所有镜像

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kubeadm config images list

结果

k8s.gcr.io/kube-apiserver:v1.20.4
k8s.gcr.io/kube-controller-manager:v1.20.4
k8s.gcr.io/kube-scheduler:v1.20.4
k8s.gcr.io/kube-proxy:v1.20.4
k8s.gcr.io/pause:3.2
k8s.gcr.io/etcd:3.4.13-0
k8s.gcr.io/coredns:1.7.0

编写脚本批量pull,在文本中输入:

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vi kubeadm_config_images_list.sh

输入

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#! /bin/bash
images=(
kube-apiserver:v1.20.4
kube-controller-manager:v1.20.4
kube-scheduler:v1.20.4
kube-proxy:v1.20.4
pause:3.2
etcd:3.4.13-0
coredns:1.7.0
)
 
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
done

其中docker tag用于标记本地镜像，将其归入某一仓库（使用阿里镜像避免翻墙）.

保存脚本kubeadm_config_images_list.sh后运行:

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sudo chmod +x kubeadm_config_images_list.sh

让其变得可执行,然后在当前文件夹运行:

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./kubeadm_config_images_list.sh

即可.

部署Kubernetes Master

只在Master节点执行

这里的apiserve需要修改成自己的master地址

执行

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# 删除之前的配置
rm -rf /var/lib/etcd && \
rm -rf /etc/systemd/system/kubelet.service.d/10-kubeadm.conf && \
rm -rf /etc/kubernetes/manifests/* && \
kubeadm init \
--apiserver-advertise-address=192.168.10.39 \
--image-repository registry.aliyuncs.com/google_containers \
--kubernetes-version v1.20.4 \
--service-cidr=10.1.0.0/16 \
--pod-network-cidr=10.244.0.0/16

成功提示信息

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 192.168.10.39:6443 –token am6y16.jfvsunhm28h7nn92 \
–discovery-token-ca-cert-hash sha256:21c1254f9da1bf4c46a6841b603ca1c21193eb32c27639ebf775f6fab8ba39de

根据提示执行

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mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config

root用户执行

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export KUBECONFIG=/etc/kubernetes/admin.conf

报错

The HTTP call equal to ‘curl -sSL http://localhost:10248/healthz' failed with error

原因是

使用minikube部署测试环境时，它会修改kubeadm的配置文件，删除即可

解决方法 删除原来的配置文件

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rm -rf /var/lib/etcd
rm -rf /etc/systemd/system/kubelet.service.d/10-kubeadm.conf

查看错误

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systemctl status kubelet
systemctl list-units --failed

重新生成token

只在Master节点执行

token失效时执行

默认token的有效期为24小时，当过期之后，该token就不可用了，

如果后续有nodes节点加入，解决方法如下：

重新生成新的token

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kubeadm token create

显示

vyaztf.snjf2za5636nekcv

查看列表

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kubeadm token list

获取ca证书sha256编码hash值

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openssl x509 -pubkey -in /etc/kubernetes/pki/ca.crt | openssl rsa -pubin -outform der 2>/dev/null | openssl dgst -sha256 -hex | sed 's/^.* //'

显示

21c1254f9da1bf4c46a6841b603ca1c21193eb32c27639ebf775f6fab8ba39de

在Node节点就可以这样加入

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kubeadm join 192.168.10.39:6443 --token vyaztf.snjf2za5636nekcv \
    --discovery-token-ca-cert-hash sha256:21c1254f9da1bf4c46a6841b603ca1c21193eb32c27639ebf775f6fab8ba39de

加入Kubernetes Node

在 Node 节点执行

使用kubeadm join 注册Node节点到Matser

kubeadm join 的内容，在上面kubeadm init 已经生成好了

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kubeadm join 192.168.10.39:6443 --token am6y16.jfvsunhm28h7nn92 \
    --discovery-token-ca-cert-hash sha256:21c1254f9da1bf4c46a6841b603ca1c21193eb32c27639ebf775f6fab8ba39de

查看是否成功

在Master节点执行

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kubectl get nodes

安装网络插件

只需要在Master 节点执行

执行

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wget https://raw.githubusercontent.com/coreos/flannel/a70459be0084506e4ec919aa1c114638878db11b/Documentation/kube-flannel.yml

修改镜像地址：(有可能默认不能拉取，确保能够访问到quay.io这个registery,否则修改如下内容)

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vi kube-flannel.yml

进入编辑，把106行，120行的内容，替换如下image，替换之后查看如下为正确

image 修改为 lizhenliang/flannel:v0.11.0-amd64

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cat -n  kube-flannel.yml|grep lizhenliang/flannel:v0.11.0-amd64

出现

106 image: lizhenliang/flannel:v0.11.0-amd64
120 image: lizhenliang/flannel:v0.11.0-amd64

应用

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kubectl apply -f kube-flannel.yml
ps -ef|grep flannel

出现

root 2032 2013 0 21:00 ? 00:00:00 /opt/bin/flanneld –ip-masq –kube-subnet-mgr

查看集群的node状态，安装完网络工具之后，只有显示如下状态，所有节点全部都Ready好了之后才能继续后面的操作

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kubectl get nodes

结果

NAME STATUS ROLES AGE VERSION
k8s-master Ready master 37m v1.15.0
k8s-node01 Ready 5m22s v1.15.0

查看所有

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kubectl get pod -n kube-system

只有全部都为1/1则可以成功执行后续步骤，如果flannel需检查网络情况，重新进行如下操作

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kubectl delete -f kube-flannel.yml

然后重新wget，然后修改镜像地址，然后

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kubectl apply -f kube-flannel.yml

报错处理

如果使用1.20.x版本就会报错

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yum install -y kubelet-1.20.4 kubeadm-1.20.4 kubectl-1.20.4

错误

unable to recognize “kube-flannel.yml”: no matches for kind “DaemonSet” in version “extensions/v1beta1”

原因：DaemonSet、Deployment、StatefulSet 和 ReplicaSet 在 v1.16 中将不再从 extensions/v1beta1、apps/v1beta1 或 apps/v1beta2 提供服务

解决方法是：

将yml配置文件内的api接口修改为 apps/v1

导致原因为之间使用的kubernetes 版本是1.15.x版本，1.16.x 及以上版本放弃部分API支持

所以有两种办法

  1. 使用旧版本的k8s
  2. 修改配置

即上面配置中的

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apiVersion: extensions/v1beta1

修改为

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apiVersion: apps/v1

把

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apiVersion: rbac.authorization.k8s.io/v1beta1

修改为

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apiVersion: rbac.authorization.k8s.io/v1

把

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spec:
  selector:
    matchLabels:
      app: flannel
  template:
    metadata:
      labels:
        tier: node
        app: flannel

所有DaemonSet下template的同级填上

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selector:
  matchLabels:
    app: flannel

修改之后的全部配置

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---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: flannel
rules:
  - 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",
      "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-amd64
  namespace: kube-system
  labels:
    tier: node
    app: flannel
spec:
  selector:
    matchLabels:
      app: flannel
  template:
    metadata:
      labels:
        tier: node
        app: flannel
    spec:
      hostNetwork: true
      nodeSelector:
        beta.kubernetes.io/arch: amd64
      tolerations:
      - operator: Exists
        effect: NoSchedule
      serviceAccountName: flannel
      initContainers:
      - name: install-cni
        image: lizhenliang/flannel:v0.11.0-amd64
        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: lizhenliang/flannel:v0.11.0-amd64
        command:
        - /opt/bin/flanneld
        args:
        - --ip-masq
        - --kube-subnet-mgr
        resources:
          requests:
            cpu: "100m"
            memory: "50Mi"
          limits:
            cpu: "100m"
            memory: "50Mi"
        securityContext:
          privileged: true
        env:
        - name: POD_NAME
          valueFrom:
            fieldRef:
              fieldPath: metadata.name
        - name: POD_NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        volumeMounts:
        - name: run
          mountPath: /run
        - name: flannel-cfg
          mountPath: /etc/kube-flannel/
      volumes:
        - name: run
          hostPath:
            path: /run
        - name: cni
          hostPath:
            path: /etc/cni/net.d
        - name: flannel-cfg
          configMap:
            name: kube-flannel-cfg
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: kube-flannel-ds-arm64
  namespace: kube-system
  labels:
    tier: node
    app: flannel
spec:
  selector:
    matchLabels:
      app: flannel
  template:
    metadata:
      labels:
        tier: node
        app: flannel
    spec:
      hostNetwork: true
      nodeSelector:
        beta.kubernetes.io/arch: arm64
      tolerations:
      - operator: Exists
        effect: NoSchedule
      serviceAccountName: flannel
      initContainers:
      - name: install-cni
        image: quay.io/coreos/flannel:v0.11.0-arm64
        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:v0.11.0-arm64
        command:
        - /opt/bin/flanneld
        args:
        - --ip-masq
        - --kube-subnet-mgr
        resources:
          requests:
            cpu: "100m"
            memory: "50Mi"
          limits:
            cpu: "100m"
            memory: "50Mi"
        securityContext:
          privileged: true
        env:
        - name: POD_NAME
          valueFrom:
            fieldRef:
              fieldPath: metadata.name
        - name: POD_NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        volumeMounts:
        - name: run
          mountPath: /run
        - name: flannel-cfg
          mountPath: /etc/kube-flannel/
      volumes:
        - name: run
          hostPath:
            path: /run
        - name: cni
          hostPath:
            path: /etc/cni/net.d
        - name: flannel-cfg
          configMap:
            name: kube-flannel-cfg
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: kube-flannel-ds-arm
  namespace: kube-system
  labels:
    tier: node
    app: flannel
spec:
  selector:
    matchLabels:
      app: flannel
  template:
    metadata:
      labels:
        tier: node
        app: flannel
    spec:
      hostNetwork: true
      nodeSelector:
        beta.kubernetes.io/arch: arm
      tolerations:
      - operator: Exists
        effect: NoSchedule
      serviceAccountName: flannel
      initContainers:
      - name: install-cni
        image: quay.io/coreos/flannel:v0.11.0-arm
        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:v0.11.0-arm
        command:
        - /opt/bin/flanneld
        args:
        - --ip-masq
        - --kube-subnet-mgr
        resources:
          requests:
            cpu: "100m"
            memory: "50Mi"
          limits:
            cpu: "100m"
            memory: "50Mi"
        securityContext:
          privileged: true
        env:
        - name: POD_NAME
          valueFrom:
            fieldRef:
              fieldPath: metadata.name
        - name: POD_NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        volumeMounts:
        - name: run
          mountPath: /run
        - name: flannel-cfg
          mountPath: /etc/kube-flannel/
      volumes:
        - name: run
          hostPath:
            path: /run
        - name: cni
          hostPath:
            path: /etc/cni/net.d
        - name: flannel-cfg
          configMap:
            name: kube-flannel-cfg
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: kube-flannel-ds-ppc64le
  namespace: kube-system
  labels:
    tier: node
    app: flannel
spec:
  selector:
    matchLabels:
      app: flannel
  template:
    metadata:
      labels:
        tier: node
        app: flannel
    spec:
      hostNetwork: true
      nodeSelector:
        beta.kubernetes.io/arch: ppc64le
      tolerations:
      - operator: Exists
        effect: NoSchedule
      serviceAccountName: flannel
      initContainers:
      - name: install-cni
        image: quay.io/coreos/flannel:v0.11.0-ppc64le
        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:v0.11.0-ppc64le
        command:
        - /opt/bin/flanneld
        args:
        - --ip-masq
        - --kube-subnet-mgr
        resources:
          requests:
            cpu: "100m"
            memory: "50Mi"
          limits:
            cpu: "100m"
            memory: "50Mi"
        securityContext:
          privileged: true
        env:
        - name: POD_NAME
          valueFrom:
            fieldRef:
              fieldPath: metadata.name
        - name: POD_NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        volumeMounts:
        - name: run
          mountPath: /run
        - name: flannel-cfg
          mountPath: /etc/kube-flannel/
      volumes:
        - name: run
          hostPath:
            path: /run
        - name: cni
          hostPath:
            path: /etc/cni/net.d
        - name: flannel-cfg
          configMap:
            name: kube-flannel-cfg
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: kube-flannel-ds-s390x
  namespace: kube-system
  labels:
    tier: node
    app: flannel
spec:
  selector:
    matchLabels:
      app: flannel
  template:
    metadata:
      labels:
        tier: node
        app: flannel
    spec:
      hostNetwork: true
      nodeSelector:
        beta.kubernetes.io/arch: s390x
      tolerations:
      - operator: Exists
        effect: NoSchedule
      serviceAccountName: flannel
      initContainers:
      - name: install-cni
        image: quay.io/coreos/flannel:v0.11.0-s390x
        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:v0.11.0-s390x
        command:
        - /opt/bin/flanneld
        args:
        - --ip-masq
        - --kube-subnet-mgr
        resources:
          requests:
            cpu: "100m"
            memory: "50Mi"
          limits:
            cpu: "100m"
            memory: "50Mi"
        securityContext:
          privileged: true
        env:
        - name: POD_NAME
          valueFrom:
            fieldRef:
              fieldPath: metadata.name
        - name: POD_NAMESPACE
          valueFrom:
            fieldRef:
              fieldPath: metadata.namespace
        volumeMounts:
        - name: run
          mountPath: /run
        - name: flannel-cfg
          mountPath: /etc/kube-flannel/
      volumes:
        - name: run
          hostPath:
            path: /run
        - name: cni
          hostPath:
            path: /etc/cni/net.d
        - name: flannel-cfg
          configMap:
            name: kube-flannel-cfg

测试集群

在Kubernetes集群中创建一个pod，然后暴露端口，验证是否正常访问：

1
kubectl create deployment nginx --image=nginx

出现

deployment.apps/nginx created

service

1
kubectl expose deployment nginx --port=80 --type=NodePort

出现

service/nginx exposed

查看

1
kubectl get pods,svc

出现

image-20210301175143560

访问地址：http://NodeIP:Port

此例就是：http://192.168.10.39:32338

部署 Dashboard

官网地址 https://github.com/kubernetes/dashboard

提示：

一定要注意Dashboard和Kubernetes的版本要匹配，否则无法获取数据

下载

1
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3
wget https://raw.githubusercontent.com/kubernetes/dashboard/v2.2.0/aio/deploy/recommended.yaml

vi recommended.yaml

修改内容：

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kind: Service
apiVersion: v1
metadata:
  labels:
    k8s-app: kubernetes-dashboard
  name: kubernetes-dashboard
  namespace: kubernetes-dashboard
spec:
  type: NodePort  # 新添加这行
  ports:
    - port: 443
      targetPort: 8443
      nodePort: 30001  # 新添加这行
  selector:
    k8s-app: kubernetes-dashboard

设置证书

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cd /etc/kubernetes/pki/
mkdir ui
cp apiserver.crt  ui/
cp apiserver.key  ui/
cd ui/
mv apiserver.crt dashboard.pem
mv apiserver.key dashboard-key.pem
kubectl delete secret kubernetes-dashboard-certs -n kube-system
kubectl create secret generic kubernetes-dashboard-certs --from-file=./ -n kube-system

回到这个yaml的路径下修改

1
vi kubernetes-dashboard.yaml

修改 dashboard-controller.yaml 文件，在args下面增加证书两行

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- --tls-key-file=dashboard-key.pem
- --tls-cert-file=dashboard.pem

下载所需镜像

1
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docker pull kubernetesui/dashboard:v2.2.0
docker pull kubernetesui/metrics-scraper:v1.0.6

执行

1
kubectl apply -f recommended.yaml

在浏览器访问地址： https://NodeIP:30001

即：https://192.168.10.39:30001

创建用户并绑定默认cluster-admin管理员集群角色：

1
kubectl create serviceaccount dashboard-admin -n kube-system

显示

serviceaccount/dashboard-admin created

输入

1
kubectl create clusterrolebinding dashboard-admin --clusterrole=cluster-admin --serviceaccount=kube-system:dashboard-admin

显示

clusterrolebinding.rbac.authorization.k8s.io/dashboard-admin created

获取token

1
kubectl describe secrets -n kube-system $(kubectl -n kube-system get secret | awk '/dashboard-admin/{print $1}')

显示

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Name:         dashboard-admin-token-qkhrg
Namespace:    kube-system
Labels:       <none>
Annotations:  kubernetes.io/service-account.name: dashboard-admin
              kubernetes.io/service-account.uid: 058c8a26-ede4-47c1-90bf-9f1e46964555

Type:  kubernetes.io/service-account-token

Data
====
token:      eyJhbGciOiJSUzI1NiIsImtpZCI6IkpkNjNmczBPclBWenJVLS1ZaU5qc2ttYlFUVVotdTh4cDkxRF9FUHd6M3MifQ.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.AO34RH4-Ll8oM7wNCqLcjjnfR2e3Tb5vqzd_sdL3ZbeI3NGgpW2p58IiuWFGq2VBeF1UUhPtHZktRAULO3nK34pyBGH7J98HMSU_BPp3S8dIsz6bZapl-HYrySoehuE5IJv9-BfUNQtwMV-E0Ruh1zQ7MKSZDuG35p_31Ou2dtaZ0eBPSA1XuO7z53kfw5qOBNEppjcy4njhOyPZXcOjhKXXBz1Dwf7Y9O92DtlfXem_UaaeI7nrFmN1vJL8hjMtCGpGrp5ree3jeAlpifFO8t1Ma2OdOISrj_WpZ6wDdsIcO8MStsuAjLht9R60VC37xG_9Nd5VcXqOQBYmgs6tfg
ca.crt:     1066 bytes
namespace:  11 bytes

就可以通过上面的token登录了

查看所有

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kubectl get svc --all-namespaces
kubectl get pods --all-namespaces

删除

1
kubectl delete -f recommended.yaml

卸载

卸载服务

1
kubeadm reset

停止所有容器

1
docker stop `docker ps -a -q`

删除所有容器

1
docker rm `docker ps -a -q`

删除所有的镜像

1
docker rmi --force `docker images -q`