附022.Kubernetes_2.1.18.3超融合框架图部署架构一

kubeadm介绍

kubeadm概述

参考附003.Kubeadm部署Kubernetes

kubeadm功能

参考附003.Kubeadm部署Kubernetes。

本方案描述

  • 本方案采用kubeadm部署Kubernetes 1.18.3版本;
  • etcd采用混部方式;
  • Keepalived:实现VIP高可用;
  • Nginx:以Pod形式运行与Kubernetes之上,即in Kubernetes模式,提供反向代理至3个master 6443端口;
  • 其他主要部署组件包括:

    • Metrics:度量;
    • Dashboard:Kubernetes 图形UI界面;
    • Helm:Kubernetes Helm包管理工具;
    • Ingress:Kubernetes 服务暴露;
    • Longhorn:Kubernetes 动态存储组件。

部署规划

节点规划

节点主机名IP类型运行服务
master01172.24.8.71Kubernetes master节点docker、etcd、kube-apiserver、kube-scheduler、kube-controller-manager、kubectl、kubelet、metrics、calico
master02172.24.8.72Kubernetes master节点docker、etcd、kube-apiserver、kube-scheduler、kube-controller-manager、kubectl、kubelet、metrics、calico
master03172.24.8.73Kubernetes master节点docker、etcd、kube-apiserver、kube-scheduler、kube-controller-manager、kubectl、kubelet、metrics、calico
worker01172.24.8.74Kubernetes worker节点docker、kubelet、proxy、calico
worker02172.24.8.75Kubernetes worker节点docker、kubelet、proxy、calico
worker03172.24.8.76Kubernetes worker节点docker、kubelet、proxy、calico

Kubernetes的高可用主要指的是控制平面的高可用,即指多套Master节点组件和Etcd组件,工作节点通过负载均衡连接到各Master。
附022.Kubernetes_2.1.18.3超融合框架图部署架构一

Kubernetes高可用架构中etcd与Master节点组件混布方式特点:

  • Etcd混布方式
  • 所需机器资源少
  • 部署简单,利于管理
  • 容易进行横向扩展
  • 风险大,一台宿主机挂了,master和etcd就都少了一套,集群冗余度受到的影响比较大。

提示:本实验使用Keepalived+Nginx架构实现Kubernetes的高可用。

初始准备

[root@master01 ~]# hostnamectl set-hostname master01 #其他节点依次修改

[root@master01 ~]# cat >> /etc/hosts << EOF

172.24.8.71 master01··

172.24.8.72 master02

172.24.8.73 master03

172.24.8.74 worker01

172.24.8.75 worker02

172.24.8.76 worker03

EOF

[root@master01 ~]# vi k8sinit.sh

#!/bin/sh

#****************************************************************#

# ScriptName: k8sinit.sh

# Author: xhy

# Create Date: 2020-05-30 16:30

# Modify Author: xhy

# Modify Date: 2020-05-30 16:30

# Version:

#***************************************************************#

# Initialize the machine. This needs to be executed on every machine.

# Add docker user

useradd -m docker

# Disable the SELinux.

sed -i 's/^SELINUX=.*/SELINUX=disabled/' /etc/selinux/config

# Turn off and disable the firewalld.

systemctl stop firewalld

systemctl disable firewalld

# Modify related kernel parameters & Disable the swap.

cat > /etc/sysctl.d/k8s.conf << EOF

net.ipv4.ip_forward = 1

net.bridge.bridge-nf-call-ip6tables = 1

net.bridge.bridge-nf-call-iptables = 1

net.ipv4.tcp_tw_recycle = 0

vm.swappiness = 0

vm.overcommit_memory = 1

vm.panic_on_oom = 0

net.ipv6.conf.all.disable_ipv6 = 1

EOF

sysctl -p /etc/sysctl.d/k8s.conf >&/dev/null

swapoff -a

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

modprobe br_netfilter

# Add ipvs modules

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

modprobe -- nf_conntrack

EOF

chmod 755 /etc/sysconfig/modules/ipvs.modules

bash /etc/sysconfig/modules/ipvs.modules

# Install rpm

yum install -y conntrack ntpdate ntp ipvsadm ipset jq iptables curl sysstat libseccomp wget

# Install Docker Compose

sudo curl -L "http://down.linuxsb.com:8888/docker/compose/releases/download/1.25.4/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose

sudo chmod +x /usr/local/bin/docker-compose

# Update kernel

rpm --import http://down.linuxsb.com:8888/RPM-GPG-KEY-elrepo.org

rpm -Uvh http://down.linuxsb.com:8888/elrepo-release-7.0-4.el7.elrepo.noarch.rpm

yum --disablerepo="*" --enablerepo="elrepo-kernel" install -y kernel-ml

sed -i 's/^GRUB_DEFAULT=.*/GRUB_DEFAULT=0/' /etc/default/grub

grub2-mkconfig -o /boot/grub2/grub.cfg

yum update -y

# Reboot the machine.

# reboot

提示:对于某些特性,可能需要升级内核,内核升级操作见《018.Linux升级内核》。4.19版及以上内核nf_conntrack_ipv4已经改为nf_conntrack。

互信配置

为了更方便远程分发文件和执行命令,本实验配置master节点到其它节点的 ssh 信任关系。

[root@master01 ~]# ssh-keygen -f ~/.ssh/id_rsa -N ''

[root@master01 ~]# ssh-copy-id -i ~/.ssh/id_rsa.pub root@master01

[root@master01 ~]# ssh-copy-id -i ~/.ssh/id_rsa.pub root@master02

[root@master01 ~]# ssh-copy-id -i ~/.ssh/id_rsa.pub root@master03

[root@master01 ~]# ssh-copy-id -i ~/.ssh/id_rsa.pub root@worker01

[root@master01 ~]# ssh-copy-id -i ~/.ssh/id_rsa.pub root@worker02

[root@master01 ~]# ssh-copy-id -i ~/.ssh/id_rsa.pub root@worker03

提示:此操作仅需要在master节点操作。

其他准备

[root@master01 ~]# vi environment.sh

#!/bin/sh

#****************************************************************#

# ScriptName: environment.sh

# Author: xhy

# Create Date: 2020-05-30 16:30

# Modify Author: xhy

# Modify Date: 2020-05-30 16:30

# Version:

#***************************************************************#

# 集群 MASTER 机器 IP 数组

export MASTER_IPS=(172.24.8.71 172.24.8.72 172.24.8.73)

# 集群 MASTER IP 对应的主机名数组

export MASTER_NAMES=(master01 master02 master03)

# 集群 NODE 机器 IP 数组

export NODE_IPS=(172.24.8.74 172.24.8.75 172.24.8.76)

# 集群 NODE IP 对应的主机名数组

export NODE_NAMES=(worker01 worker02 worker03)

# 集群所有机器 IP 数组

export ALL_IPS=(172.24.8.71 172.24.8.72 172.24.8.73 172.24.8.74 172.24.8.75 172.24.8.76)

# 集群所有IP 对应的主机名数组

export ALL_NAMES=(master01 master02 master03 worker01 worker02 worker03)

[root@master01 ~]# source environment.sh

[root@master01 ~]# chmod +x *.sh

[root@master01 ~]# for all_ip in ${ALL_IPS[@]}

do

echo ">>> ${all_ip}"

scp -rp /etc/hosts root@${all_ip}:/etc/hosts

scp -rp k8sinit.sh root@${all_ip}:/root/

ssh root@${all_ip} "bash /root/k8sinit.sh"

done

集群部署

Docker安装

[root@master01 ~]# for all_ip in ${ALL_IPS[@]}

do

echo ">>> ${all_ip}"

ssh root@${all_ip} "yum -y install yum-utils device-mapper-persistent-data lvm2"

ssh root@${all_ip} "yum-config-manager --add-repo http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo"

ssh root@${all_ip} "yum -y install docker-ce"

ssh root@${all_ip} "mkdir /etc/docker"

ssh root@${all_ip} "cat > /etc/docker/daemon.json <<EOF

{

\"registry-mirrors\": [\"https://dbzucv6w.mirror.aliyuncs.com\"],

\"exec-opts\": [\"native.cgroupdriver=systemd\"],

\"log-driver\": \"json-file\",

\"log-opts\": {

\"max-size\": \"100m\"

},

\"storage-driver\": \"overlay2\",

\"storage-opts\": [

\"overlay2.override_kernel_check=true\"

]

}

EOF"

ssh root@${all_ip} "systemctl restart docker"

ssh root@${all_ip} "systemctl enable docker"

ssh root@${all_ip} "systemctl status docker"

ssh root@${all_ip} "iptables -nvL"

done

提示:如上仅需Master01节点操作,从而实现所有节点自动化安装。

相关组件包

需要在每台机器上都安装以下的软件包:

  • 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 container 等;
  • kubectl: 用来与集群通信的命令行工具。

kubeadm不能安装或管理 kubelet 或 kubectl ,所以得保证他们满足通过 kubeadm 安装的 Kubernetes控制层对版本的要求。如果版本没有满足要求,可能导致一些意外错误或问题。

具体相关组件安装见;附001.kubectl介绍及使用书

提示:Kubernetes 1.18版本所有兼容相应组件的版本参考:https://github.com/kubernetes/kubernetes/blob/master/CHANGELOG/CHANGELOG-1.18.md。

正式安装

[root@master01 ~]# for all_ip in ${ALL_IPS[@]}

do

echo ">>> ${all_ip}"

ssh root@${all_ip} "cat <<EOF > /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"

ssh root@${all_ip} "yum install -y kubeadm-1.18.3-0.x86_64 kubelet-1.18.3-0.x86_64 kubectl-1.18.3-0.x86_64 --disableexcludes=kubernetes"

ssh root@${all_ip} "systemctl enable kubelet"

done

[root@master01 ~]# yum search -y kubelet --showduplicates #查看相应版本
附022.Kubernetes_2.1.18.3超融合框架图部署架构一

提示:如上仅需Master01节点操作,从而实现所有节点自动化安装,同时此时不需要启动kubelet,初始化的过程中会自动启动的,如果此时启动了会出现报错,忽略即可。

说明:同时安装了cri-tools, kubernetes-cni, socat三个依赖:

socat:kubelet的依赖;

cri-tools:即CRI(Container Runtime Interface)容器运行时接口的命令行工具。

部署高可用组件I

Keepalived安装

[root@master01 ~]# for master_ip in ${MASTER_IPS[@]}

do

echo ">>> ${master_ip}"

ssh root@${master_ip} "yum -y install gcc gcc-c++ make libnl libnl-devel libnfnetlink-devel openssl-devel"

ssh root@${master_ip} "wget http://down.linuxsb.com:8888/software/keepalived-2.0.20.tar.gz"

ssh root@${master_ip} "tar -zxvf keepalived-2.0.20.tar.gz"

ssh root@${master_ip} "cd keepalived-2.0.20/ && ./configure --sysconf=/etc --prefix=/usr/local/keepalived && make && make install"

ssh root@${master_ip} "systemctl enable keepalived && systemctl start keepalived"

done

提示:如上仅需Master01节点操作,从而实现所有节点自动化安装。

创建配置文件

[root@master01 ~]# wget http://down.linuxsb.com:8888/ngkek8s.sh		#拉取自动部署脚本

[root@master01 ~]# chmod u+x ngkek8s.sh

[root@master01 ~]# vi ngkek8s.sh

#!/bin/sh

#****************************************************************#

# ScriptName: k8s_ha.sh

# Author: xhy

# Create Date: 2020-05-13 16:32

# Modify Author: xhy

# Modify Date: 2020-06-12 12:53

# Version: v2

#***************************************************************#

#######################################

# set variables below to create the config files, all files will create at ./config directory

#######################################

# master keepalived virtual ip address

export K8SHA_VIP=172.24.8.100

# master01 ip address

export K8SHA_IP1=172.24.8.71

# master02 ip address

export K8SHA_IP2=172.24.8.72

# master03 ip address

export K8SHA_IP3=172.24.8.73

# master01 hostname

export K8SHA_HOST1=master01

# master02 hostname

export K8SHA_HOST2=master02

# master03 hostname

export K8SHA_HOST3=master03

# master01 network interface name

export K8SHA_NETINF1=eth0

# master02 network interface name

export K8SHA_NETINF2=eth0

# master03 network interface name

export K8SHA_NETINF3=eth0

# keepalived auth_pass config

export K8SHA_KEEPALIVED_AUTH=412f7dc3bfed32194d1600c483e10ad1d

# kubernetes CIDR pod subnet

export K8SHA_PODCIDR=10.10.0.0

# kubernetes CIDR svc subnet

export K8SHA_SVCCIDR=10.20.0.0

[root@master01 ~]# ./ngkek8s.sh

解释:如上仅需Master01节点操作。执行ngkek8s.sh脚本后,会自动生成以下配置文件:

  • kubeadm-config.yaml:kubeadm初始化配置文件,位于当前目录
  • keepalived:keepalived配置文件,位于各个master节点的/etc/keepalived目录
  • nginx-lb:nginx-lb负载均衡配置文件,位于各个master节点的/etc/kubernetes/nginx-lb/目录
  • calico.yaml:calico网络组件部署文件,位于config/calico/目录

[root@master01 ~]# cat kubeadm-config.yaml		#检查集群初始化配置

apiVersion: kubeadm.k8s.io/v1beta2

kind: ClusterConfiguration

networking:

serviceSubnet: "10.20.0.0/16" #设置svc网段

podSubnet: "10.10.0.0/16" #设置Pod网段

dnsDomain: "cluster.local"

kubernetesVersion: "v1.18.3" #设置安装版本

controlPlaneEndpoint: "172.24.8.100:16443" #设置相关API VIP地址

apiServer:

certSANs:

- master01

- master02

- master03

- 127.0.0.1

- 172.24.8.71

- 172.24.8.72

- 172.24.8.73

- 172.24.8.100

timeoutForControlPlane: 4m0s

certificatesDir: "/etc/kubernetes/pki"

imageRepository: "k8s.gcr.io"

---

apiVersion: kubeproxy.config.k8s.io/v1alpha1

kind: KubeProxyConfiguration

featureGates:

SupportIPVSProxyMode: true

mode: ipvs

提示:如上仅需Master01节点操作,更多config文件参考:https://godoc.org/k8s.io/kubernetes/cmd/kubeadm/app/apis/kubeadm/v1beta2。

此kubeadm部署初始化配置更多参考:https://pkg.go.dev/k8s.io/kubernetes/cmd/kubeadm/app/apis/kubeadm/v1beta2?tab=doc。

启动Keepalived

[root@master01 ~]# cat /etc/keepalived/check_apiserver.sh	#确认Keepalived配置

[root@master01 ~]# for master_ip in ${MASTER_IPS[@]}

do

echo ">>> ${master_ip}"

ssh root@${master_ip} "systemctl start keepalived.service && systemctl enable keepalived.service"

ssh root@${master_ip} "systemctl status keepalived.service | grep Active"

done

[root@master01 ~]# for all_ip in ${ALL_IPS[@]}

do

echo ">>> ${all_ip}"

ssh root@${all_ip} "ping -c1 172.24.8.100"

done #等待10s左右执行检查

提示:如上仅需Master01节点操作,从而实现所有节点自动启动服务。

启动Nginx

执行ngkek8s.sh脚本后,nginx-lb的配置文件会自动复制到各个master的节点的/etc/kubernetes/nginx-lb目录。

[root@master01 ~]# for master_ip in ${MASTER_IPS[@]}

do

echo ">>> ${master_ip}"

ssh root@${master_ip} "cd /etc/kubernetes/nginx-lb/ && docker-compose up -d"

ssh root@${master_ip} "docker-compose ps"

done

提示:如上仅需Master01节点操作,从而实现所有节点自动启动服务。

初始化集群-Master

拉取镜像

[root@master01 ~]# kubeadm --kubernetes-version=v1.18.3 config images list #列出所需镜像

[root@master01 ~]# cat config/downimage.sh			#确认版本,提前下载镜像

#!/bin/sh

#****************************************************************#

# ScriptName: downimage.sh

# Author: xhy

# Create Date: 2020-05-29 19:55

# Modify Author: xhy

# Modify Date: 2020-05-30 16:07

# Version: v2

#***************************************************************#

KUBE_VERSION=v1.18.3

CALICO_VERSION=v3.14.1

CALICO_URL=calico

KUBE_PAUSE_VERSION=3.2

ETCD_VERSION=3.4.3-0

CORE_DNS_VERSION=1.6.7

GCR_URL=k8s.gcr.io

METRICS_SERVER_VERSION=v0.3.6

INGRESS_VERSION=0.32.0

CSI_PROVISIONER_VERSION=v1.4.0

CSI_NODE_DRIVER_VERSION=v1.2.0

CSI_ATTACHER_VERSION=v2.0.0

CSI_RESIZER_VERSION=v0.3.0

ALIYUN_URL=registry.cn-hangzhou.aliyuncs.com/google_containers

UCLOUD_URL=uhub.service.ucloud.cn/uxhy

QUAY_URL=quay.io

kubeimages=(kube-proxy:${KUBE_VERSION}

kube-scheduler:${KUBE_VERSION}

kube-controller-manager:${KUBE_VERSION}

kube-apiserver:${KUBE_VERSION}

pause:${KUBE_PAUSE_VERSION}

etcd:${ETCD_VERSION}

coredns:${CORE_DNS_VERSION}

metrics-server-amd64:${METRICS_SERVER_VERSION}

)

for kubeimageName in ${kubeimages[@]} ; do

docker pull $UCLOUD_URL/$kubeimageName

docker tag $UCLOUD_URL/$kubeimageName $GCR_URL/$kubeimageName

docker rmi $UCLOUD_URL/$kubeimageName

done

calimages=(cni:${CALICO_VERSION}

pod2daemon-flexvol:${CALICO_VERSION}

node:${CALICO_VERSION}

kube-controllers:${CALICO_VERSION})

for calimageName in ${calimages[@]} ; do

docker pull $UCLOUD_URL/$calimageName

docker tag $UCLOUD_URL/$calimageName $CALICO_URL/$calimageName

docker rmi $UCLOUD_URL/$calimageName

done

ingressimages=(nginx-ingress-controller:${INGRESS_VERSION})

for ingressimageName in ${ingressimages[@]} ; do

docker pull $UCLOUD_URL/$ingressimageName

docker tag $UCLOUD_URL/$ingressimageName $QUAY_URL/kubernetes-ingress-controller/$ingressimageName

docker rmi $UCLOUD_URL/$ingressimageName

done

csiimages=(csi-provisioner:${CSI_PROVISIONER_VERSION}

csi-node-driver-registrar:${CSI_NODE_DRIVER_VERSION}

csi-attacher:${CSI_ATTACHER_VERSION}

csi-resizer:${CSI_RESIZER_VERSION}

)

for csiimageName in ${csiimages[@]} ; do

docker pull $UCLOUD_URL/$csiimageName

docker tag $UCLOUD_URL/$csiimageName $QUAY_URL/k8scsi/$csiimageName

docker rmi $UCLOUD_URL/$csiimageName

done

[root@master01 ~]# for all_ip in ${ALL_IPS[@]}

do

echo ">>> ${all_ip}"

scp -rp config/downimage.sh root@${all_ip}:/root/

ssh root@${all_ip} "bash downimage.sh &"

done

提示:如上仅需Master01节点操作,从而实现所有节点自动拉取镜像。
[root@master01 ~]# docker images #确认验证

附022.Kubernetes_2.1.18.3超融合框架图部署架构一

Master上初始化

[root@master01 ~]# kubeadm init --config=kubeadm-config.yaml --upload-certs

保留如下命令用于后续节点添加:

You can now join any number of the control-plane node running the following command on each as root:

kubeadm join 172.24.8.100:16443 --token xb9wda.v0yf7tlsgo8mdrhk \

--discovery-token-ca-cert-hash sha256:249884d81a23bd821e38d3345866a99e6d55e443b545825c3c448f30f8e52c3b \

--control-plane --certificate-key e30428776a47ed2c7e18c9e2951d9e40e068c9ecec5a4858457f1475f1a2a39a

Please note that the certificate-key gives access to cluster sensitive data, keep it secret!

As a safeguard, uploaded-certs will be deleted in two hours; If necessary, you can use

"kubeadm init phase upload-certs --upload-certs" to reload certs afterward.

Then you can join any number of worker nodes by running the following on each as root:

kubeadm join 172.24.8.100:16443 --token xb9wda.v0yf7tlsgo8mdrhk \

--discovery-token-ca-cert-hash sha256:249884d81a23bd821e38d3345866a99e6d55e443b545825c3c448f30f8e52c3b

附022.Kubernetes_2.1.18.3超融合框架图部署架构一

注意:如上token具有默认24小时的有效期,token和hash值可通过如下方式获取:

kubeadm token list

如果 Token 过期以后,可以输入以下命令,生成新的 Token:

kubeadm token create

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

[root@master01 ~]# mkdir -p $HOME/.kube
[root@master01 ~]# sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
[root@master01 ~]# sudo chown $(id -u):$(id -g) $HOME/.kube/config

[root@master01 ~]# cat << EOF >> ~/.bashrc

export KUBECONFIG=$HOME/.kube/config

EOF #设置KUBECONFIG环境变量

[root@master01 ~]# echo "source <(kubectl completion bash)" >> ~/.bashrc

[root@master01 ~]# source ~/.bashrc

附加:初始化过程大致步骤如下:

  1. [kubelet-start] 生成kubelet的配置文件”/var/lib/kubelet/config.yaml”
  2. [certificates]生成相关的各种证书
  3. [kubeconfig]生成相关的kubeconfig文件
  4. [bootstraptoken]生成token记录下来,后边使用kubeadm join往集群中添加节点时会用到

提示:初始化仅需要在master01上执行,若初始化异常可通过kubeadm reset && rm -rf $HOME/.kube重置。

添加其他master节点

[root@master02 ~]# kubeadm join 172.24.8.100:16443 --token xb9wda.v0yf7tlsgo8mdrhk \

--discovery-token-ca-cert-hash sha256:249884d81a23bd821e38d3345866a99e6d55e443b545825c3c448f30f8e52c3b \

--control-plane --certificate-key e30428776a47ed2c7e18c9e2951d9e40e068c9ecec5a4858457f1475f1a2a39a

[root@master02 ~]# mkdir -p $HOME/.kube

[root@master02 ~]# sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config

[root@master02 ~]# sudo chown $(id -u):$(id -g) $HOME/.kube/config

[root@master02 ~]# cat << EOF >> ~/.bashrc`

export KUBECONFIG=$HOME/.kube/config

EOF #设置KUBECONFIG环境变量

[root@master02 ~]# echo "source <(kubectl completion bash)" >> ~/.bashrc

[root@master02 ~]# source ~/.bashrc

提示:master03也如上执行添加至集群的controlplane。
提示:若添加异常可通过kubeadm reset && rm -rf $HOME/.kube重置。

安装NIC插件

NIC插件介绍

  • Calico 是一个安全的 L3 网络和网络策略提供者。
  • Canal 结合 Flannel 和 Calico, 提供网络和网络策略。
  • Cilium 是一个 L3 网络和网络策略插件, 能够透明的实施 HTTP/API/L7 策略。 同时支持路由(routing)和叠加/封装( overlay/encapsulation)模式。
  • Contiv 为多种用例提供可配置网络(使用 BGP 的原生 L3,使用 vxlan 的 overlay,经典 L2 和 Cisco-SDN/ACI)和丰富的策略框架。Contiv 项目完全开源。安装工具同时提供基于和不基于 kubeadm 的安装选项。
  • Flannel 是一个可以用于 Kubernetes 的 overlay 网络提供者。

    +Romana 是一个 pod 网络的层 3 解决方案,并且支持 NetworkPolicy API。Kubeadm add-on 安装细节可以在这里找到。

  • Weave Net 提供了在网络分组两端参与工作的网络和网络策略,并且不需要额外的数据库。
  • CNI-Genie 使 Kubernetes 无缝连接到一种 CNI 插件,例如:Flannel、Calico、Canal、Romana 或者 Weave。
    提示:本方案使用Calico插件。

设置标签

[root@master01 ~]# kubectl taint nodes --all node-role.kubernetes.io/master- #允许master部署应用

提示:部署完内部应用后可使用kubectl taint node master01 node-role.kubernetes.io/master="":NoSchedule重新设置Master为Master Only 状态。

部署calico

[root@master01 ~]# cat config/calico/calico.yaml	#检查配置

……

- name: CALICO_IPV4POOL_CIDR

value: "10.10.0.0/16" #检查Pod网段

……

- name: IP_AUTODETECTION_METHOD

value: "interface=eth.*" #检查节点之间的网卡

# Auto-detect the BGP IP address.

- name: IP

value: "autodetect"

……

[root@master01 ~]# kubectl apply -f config/calico/calico.yaml

[root@master01 ~]# kubectl get pods --all-namespaces -o wide #查看部署

[root@master01 ~]# kubectl get nodes

附022.Kubernetes_2.1.18.3超融合框架图部署架构一
附022.Kubernetes_2.1.18.3超融合框架图部署架构一

修改node端口范围

[root@master01 ~]# vi /etc/kubernetes/manifests/kube-apiserver.yaml

……

- --service-node-port-range=1-65535

……

部署高可用组件II

高可用说明

高可用kubernetes集群步骤三已完成配置,但是使用docker-compose方式启动nginx-lb由于无法提供kubernetes集群的健康检查和自动重启功能,nginx-lb作为高可用kubernetes集群的核心组件建议也作为kubernetes集群中的一个pod来进行管理。

污点和标签

[root@master01 ~]# kubectl taint node master01 node-`role.kubernetes.io/master="":NoSchedule

[root@master01 ~]# kubectl taint node master02 node-role.kubernetes.io/master="":NoSchedule

[root@master01 ~]# kubectl taint node master03 node-role.kubernetes.io/master="":NoSchedule

[root@master01 ~]# kubectl label nodes master01 node-role.kubernetes.io/master="true" --overwrite

[root@master01 ~]# kubectl label nodes master02 node-role.kubernetes.io/master="true" --overwrite

[root@master01 ~]# kubectl label nodes master02 node-role.kubernetes.io/master="true" --overwrite

容器化实现高可用

[root@master01 ~]# for master_ip in ${MASTER_IPS[@]}

do

echo ">>> ${master_ip}"

ssh root@${master_ip} "systemctl stop kubelet"

ssh root@${master_ip} "docker stop nginx-lb && docker rm nginx-lb"

scp -rp /root/config/k8s-nginx-lb.yaml root@${master_ip}:/etc/kubernetes/manifests/

ssh root@${master_ip} "systemctl restart kubelet docker"

done

提示:如上仅需Master01节点操作,从而实现所有Master节点自动启动服务。

[root@master01 ~]# kubectl -n kube-system get pods -o wide | grep -E 'NAME|nginx'

附022.Kubernetes_2.1.18.3超融合框架图部署架构一

添加Worker节点

添加Worker节点

[root@master01 ~]# source environment.sh

[root@master01 ~]# for node_ip in ${NODE_IPS[@]}

do

echo ">>> ${node_ip}"

ssh root@${node_ip} "kubeadm join 172.24.8.100:16443 --token xb9wda.v0yf7tlsgo8mdrhk \

--discovery-token-ca-cert-hash sha256:249884d81a23bd821e38d3345866a99e6d55e443b545825c3c448f30f8e52c3b"

ssh root@${node_ip} "systemctl enable kubelet.service"

done

提示:如上仅需Master01节点操作,从而实现所有Worker节点添加至集群,若添加异常可通过如下方式重置:

[root@node01 ~]# kubeadm reset

[root@node01 ~]# ifconfig cni0 down

[root@node01 ~]# ip link delete cni0

[root@node01 ~]# ifconfig flannel.1 down

[root@node01 ~]# ip link delete flannel.1

[root@node01 ~]# rm -rf /var/lib/cni/

确认验证

[root@master01 ~]# kubectl get nodes			         	#节点状态

[root@master01 ~]# kubectl get cs #组件状态

[root@master01 ~]# kubectl get serviceaccount #服务账户

[root@master01 ~]# kubectl cluster-info #集群信息

[root@master01 ~]# kubectl get pod -n kube-system -o wide #所有服务状态

附022.Kubernetes_2.1.18.3超融合框架图部署架构一
附022.Kubernetes_2.1.18.3超融合框架图部署架构一

提示:更多Kubetcl使用参考:https://kubernetes.io/docs/reference/kubectl/kubectl/
https://kubernetes.io/docs/reference/kubectl/overview/

更多kubeadm使用参考:https://kubernetes.io/docs/reference/setup-tools/kubeadm/kubeadm/

Metrics部署

Metrics

Kubernetes的早期版本依靠Heapster来实现完整的性能数据采集和监控功能,Kubernetes从1.8版本开始,性能数据开始以Metrics API的方式提供标准化接口,并且从1.10版本开始将Heapster替换为Metrics Server。在Kubernetes新的监控体系中,Metrics Server用于提供核心指标(Core Metrics),包括Node、Pod的CPU和内存使用指标。

对其他自定义指标(Custom Metrics)的监控则由Prometheus等组件来完成。

开启聚合层

有关聚合层知识参考:https://blog.csdn.net/liukuan73/article/details/81352637

kubeadm方式部署默认已开启。

获取部署文件

[root@master01 ~]# mkdir metrics

[root@master01 ~]# cd metrics/

[root@master01 metrics]# wget https://github.com/kubernetes-sigs/metrics-server/releases/download/v0.3.6/components.yaml

[root@master01 metrics]# vi components.yaml

……

apiVersion: apps/v1

kind: Deployment

……

spec:

replicas: 3 #根据集群规模调整副本数

……

spec:

hostNetwork: true

……

- name: metrics-server

image: k8s.gcr.io/metrics-server-amd64:v0.3.6

imagePullPolicy: IfNotPresent

args:

- --cert-dir=/tmp

- --secure-port=4443

- --kubelet-insecure-tls #追加此args

- --kubelet-preferred-address-types=InternalIP,Hostname,InternalDNS,ExternalDNS,ExternalIP #追加此args

……

正式部署

[root@master01 metrics]# kubectl apply -f components.yaml

[root@master01 metrics]# kubectl -n kube-system get pods -l k8s-app=metrics-server

NAME READY STATUS RESTARTS AGE

metrics-server-7b97647899-ghnxw 1/1 Running 0 11s

metrics-server-7b97647899-nqwvq 1/1 Running 0 10s

metrics-server-7b97647899-zkmxs 1/1 Running 0 10s

查看资源监控

[root@k8smaster01 ~]# kubectl top nodes

[root@k8smaster01 ~]# kubectl top pods --all-namespaces

附022.Kubernetes_2.1.18.3超融合框架图部署架构一
附022.Kubernetes_2.1.18.3超融合框架图部署架构一

提示:Metrics Server提供的数据也可以供HPA控制器使用,以实现基于CPU使用率或内存使用值的Pod自动扩缩容功能。

部署参考:https://linux48.com/container/2019-11-13-metrics-server.html

有关metrics更多部署参考:
https://kubernetes.io/docs/tasks/debug-application-cluster/resource-metrics-pipeline/

开启开启API Aggregation参考:
https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/apiserver-aggregation/

API Aggregation介绍参考:
https://kubernetes.io/docs/tasks/access-kubernetes-api/configure-aggregation-layer/

Nginx ingress部署

参考附020.Nginx-ingress部署及使用,建议采用社区版。

Dashboard部署

设置标签

[root@master01 ~]# kubectl label nodes master01 dashboard=yes

[root@master01 ~]# kubectl label nodes master02 dashboard=yes

[root@master01 ~]# kubectl label nodes master03 dashboard=yes

创建证书

本实验已获取免费一年的证书,免费证书获取可参考:https://freessl.cn。

[root@master01 ~]# mkdir -p /root/dashboard/certs

[root@master01 ~]# cd /root/dashboard/certs

[root@master01 certs]# mv k8s.odocker.com tls.crt

[root@master01 certs]# mv k8s.odocker.com tls.crt

[root@master01 certs]# ll

total 8.0K

-rw-r--r-- 1 root root 1.9K Jun 8 11:46 tls.crt

-rw-r--r-- 1 root root 1.7K Jun 8 11:46 tls.ke

提示:也可手动如下操作创建自签证书:

[root@master01 ~]# openssl req -x509 -nodes -days 365 -newkey rsa:2048 -keyout tls.key -out tls.crt -subj "/C=CN/ST=ZheJiang/L=HangZhou/O=Xianghy/OU=Xianghy/CN=k8s.odocker.com"

手动创建secret

[root@master01 ~]# kubectl create ns kubernetes-dashboard	#v2版本dashboard独立ns

[root@master01 ~]# kubectl create secret generic kubernetes-dashboard-certs --from-file=$HOME/dashboard/certs/ -n kubernetes-dashboard

[root@master01 ~]# kubectl get secret kubernetes-dashboard-certs -n kubernetes-dashboard -o yaml #查看新证书`

下载yaml

[root@master01 ~]# cd /root/dashboard

[root@master01 dashboard]# wget https://raw.githubusercontent.com/kubernetes/dashboard/v2.0.1/aio/deploy/recommended.yaml

修改yaml

[root@master01 dashboard]# vi recommended.yaml

……

kind: Service

apiVersion: v1

metadata:

labels:

k8s-app: kubernetes-dashboard

name: kubernetes-dashboard

namespace: kubernetes-dashboard

spec:

type: NodePort #新增

ports:

- port: 443

targetPort: 8443

nodePort: 30001 #新增

selector:

k8s-app: kubernetes-dashboard

---

…… #如下全部注释

#apiVersion: v1

#kind: Secret

#metadata:

# labels:

# k8s-app: kubernetes-dashboard

# name: kubernetes-dashboard-certs

# namespace: kubernetes-dashboard

#type: Opaque

……

kind: Deployment

……

replicas: 3 #适当调整为3副本

……

imagePullPolicy: IfNotPresent #修改镜像下载策略

ports:

- containerPort: 8443

protocol: TCP

args:

- --auto-generate-certificates

- --namespace=kubernetes-dashboard

- --tls-key-file=tls.key

- --tls-cert-file=tls.crt

- --token-ttl=3600 #追加如上args

……

nodeSelector:

"beta.kubernetes.io/os": linux

"dashboard": "yes" #部署在master节点

……

kind: Service

apiVersion: v1

metadata:

labels:

k8s-app: dashboard-metrics-scraper

name: dashboard-metrics-scraper

namespace: kubernetes-dashboard

spec:

type: NodePort #新增

ports:

- port: 8000

nodePort: 30000 #新增

targetPort: 8000

selector:

k8s-app: dashboard-metrics-scraper

……

replicas: 3 #适当调整为3副本

……

nodeSelector:

"beta.kubernetes.io/os": linux

"dashboard": "yes" #部署在master节点

……

正式部署

[root@master01 dashboard]# kubectl apply -f recommended.yaml

[root@master01 dashboard]# kubectl get deployment kubernetes-dashboard -n kubernetes-dashboard

[root@master01 dashboard]# kubectl get services -n kubernetes-dashboard

[root@master01 dashboard]# kubectl get pods -o wide -n kubernetes-dashboard

附022.Kubernetes_2.1.18.3超融合框架图部署架构一

提示:master01 NodePort 30001/TCP映射到 dashboard pod 443 端口。

创建管理员账户

提示:dashboard v2版本默认没有创建具有管理员权限的账户,可如下操作创建。

[root@master01 dashboard]# vi dashboard-admin.yaml

---

apiVersion: v1

kind: ServiceAccount

metadata:

name: admin-user

namespace: kubernetes-dashboard

---

apiVersion: rbac.authorization.k8s.io/v1

kind: ClusterRoleBinding

metadata:

name: admin-user

roleRef:

apiGroup: rbac.authorization.k8s.io

kind: ClusterRole

name: cluster-admin

subjects:

- kind: ServiceAccount

name: admin-user

namespace: kubernetes-dashboard

[root@master01 dashboard]# kubectl apply -f dashboard-admin.yaml

ingress暴露dashboard

创建ingress tls

[root@master01 ~]# cd /root/dashboard/certs

[root@master01 certs]# kubectl -n kubernetes-dashboard create secret tls kubernetes-dashboard-tls --cert=tls.crt --key=tls.key

[root@master01 certs]# kubectl -n kubernetes-dashboard describe secrets kubernetes-dashboard-tls

附022.Kubernetes_2.1.18.3超融合框架图部署架构一

创建ingress策略

[root@master01 ~]# cd /root/dashboard/

[root@master01 dashboard]# vi dashboard-ingress.yaml

apiVersion: networking.k8s.io/v1beta1

kind: Ingress

metadata:

name: kubernetes-dashboard-ingress

namespace: kubernetes-dashboard

annotations:

kubernetes.io/ingress.class: "nginx"

nginx.ingress.kubernetes.io/use-regex: "true"

nginx.ingress.kubernetes.io/ssl-passthrough: "true"

nginx.ingress.kubernetes.io/rewrite-target: /

nginx.ingress.kubernetes.io/ssl-redirect: "true"

#nginx.ingress.kubernetes.io/secure-backends: "true"

nginx.ingress.kubernetes.io/backend-protocol: "HTTPS"

nginx.ingress.kubernetes.io/proxy-connect-timeout: "600"

nginx.ingress.kubernetes.io/proxy-read-timeout: "600"

nginx.ingress.kubernetes.io/proxy-send-timeout: "600"

nginx.ingress.kubernetes.io/configuration-snippet: |

proxy_ssl_session_reuse off;

spec:

rules:

- host: k8s.odocker.com

http:

paths:

- path: /

backend:

serviceName: kubernetes-dashboard

servicePort: 443

tls:

- hosts:

- k8s.odocker.com

secretName: kubernetes-dashboard-tls

[root@master01 dashboard]# kubectl apply -f dashboard-ingress.yaml

[root@master01 dashboard]# kubectl -n kubernetes-dashboard get ingress

附022.Kubernetes_2.1.18.3超融合框架图部署架构一

访问dashboard

导入证书

将k8s.odocker.com导入浏览器,并设置为信任,导入操作略。

创建kubeconfig文件

使用token相对复杂,可将token添加至kubeconfig文件中,使用KubeConfig文件访问dashboard。

[root@master01 dashboard]# ADMIN_SECRET=$(kubectl -n kubernetes-dashboard get secret | grep admin-user | awk '{print $1}')

[root@master01 dashboard]# DASHBOARD_LOGIN_TOKEN=$(kubectl describe secret -n kubernetes-dashboard ${ADMIN_SECRET} | grep -E '^token' | awk '{print $2}')

[root@master01 dashboard]# kubectl config set-cluster kubernetes \

--certificate-authority=/etc/kubernetes/pki/ca.crt \

--embed-certs=true \

--server=172.24.8.100:16443 \

--kubeconfig=local-ngkek8s-dashboard-admin.kubeconfig # 设置集群参数

[root@master01 dashboard]# kubectl config set-credentials dashboard_user \

--token=${DASHBOARD_LOGIN_TOKEN} \

--kubeconfig=local-ngkek8s-dashboard-admin.kubeconfig # 设置客户端认证参数,使用上面创建的 Token

[root@master01 dashboard]# kubectl config set-context default \

--cluster=kubernetes \

--user=dashboard_user \

--kubeconfig=local-ngkek8s-dashboard-admin.kubeconfig # 设置上下文参数

[root@master01 dashboard]# kubectl config use-context default --kubeconfig=local-ngkek8s-dashboard-admin.kubeconfig # 设置默认上下文

将local-ngkek8s-dashboard-admin.kubeconfig文件导入,以便于浏览器使用该文件登录。

测试访问dashboard

本实验采用ingress所暴露的域名:https://k8s.odocker.com 方式访问。使用local-ngkek8s-dashboard-admin.kubeconfig文件访问。

附022.Kubernetes_2.1.18.3超融合框架图部署架构一

提示:

更多dashboard访问方式及认证可参考附004.Kubernetes Dashboard简介及使用。

dashboard登录整个流程可参考:https://www.cnadn.net/post/2613.html

Longhorn存储部署

Longhorn概述

Longhorn是用于Kubernetes的开源分布式块存储系统。
提示:更多介绍参考:https://github.com/longhorn/longhorn。

Longhorn部署

[root@master01 ~]# source environment.sh

[root@master01 ~]# for all_ip in ${ALL_IPS[@]}

do

echo ">>> ${all_ip}"

ssh root@${all_ip} "yum -y install iscsi-initiator-utils &"

done

提示:所有节点都需要安装。

[root@master01 ~]# mkdir longhorn

[root@master01 ~]# cd longhorn/

[root@master01 longhorn]# wget \

https://raw.githubusercontent.com/longhorn/longhorn/master/deploy/longhorn.yaml

[root@master01 longhorn]# vi longhorn.yaml

#……

---

kind: Service

apiVersion: v1

metadata:

labels:

app: longhorn-ui

name: longhorn-frontend

namespace: longhorn-system

spec:

type: NodePort #修改为nodeport

selector:

app: longhorn-ui

ports:

- port: 80

targetPort: 8000

nodePort: 30002

---

……

kind: DaemonSet

……

imagePullPolicy: IfNotPresent

……

#……

[root@master01 longhorn]# kubectl apply -f longhorn.yaml

[root@master01 longhorn]# kubectl -n longhorn-system get pods -o wide

附022.Kubernetes_2.1.18.3超融合框架图部署架构一

提示:若部署异常可删除重建,若出现无法删除namespace,可通过如下操作进行删除:

wget https://github.com/longhorn/longhorn/blob/master/uninstall/uninstall.yaml

rm -rf /var/lib/longhorn/

kubectl apply -f uninstall.yaml

kubectl delete -f longhorn.yaml

动态sc创建

提示:默认longhorn部署完成已创建一个sc,也可通过如下手动编写yaml创建。

 [root@master01 longhorn]# kubectl get sc

NAME PROVISIONER RECLAIMPOLICY VOLUMEBINDINGMODE ALLOWVOLUMEEXPANSION AGE

……

longhorn driver.longhorn.io Delete Immediate true 15m

[root@master01 longhorn]# vi longhornsc.yaml

kind: StorageClass

apiVersion: storage.k8s.io/v1

metadata:

name: longhornsc

provisioner: rancher.io/longhorn

parameters:

numberOfReplicas: "3"

staleReplicaTimeout: "30"

fromBackup: ""

[root@master01 longhorn]# kubectl create -f longhornsc.yaml

测试PV及PVC

[root@master01 longhorn]# vi longhornpod.yaml

apiVersion: v1

kind: PersistentVolumeClaim

metadata:

name: longhorn-pvc

spec:

accessModes:

- ReadWriteOnce

storageClassName: longhorn

resources:

requests:

storage: 2Gi

---

apiVersion: v1

kind: Pod

metadata:

name: longhorn-pod

namespace: default

spec:

containers:

- name: volume-test

image: nginx:stable-alpine

imagePullPolicy: IfNotPresent

volumeMounts:

- name: volv

mountPath: /data

ports:

- containerPort: 80

volumes:

- name: volv

persistentVolumeClaim:

claimName: longhorn-pvc

[root@master01 longhorn]# kubectl apply -f longhornpod.yaml

[root@master01 longhorn]# kubectl get pods

[root@master01 longhorn]# kubectl get pvc

[root@master01 longhorn]# kubectl get pv

附022.Kubernetes_2.1.18.3超融合框架图部署架构一

创建ingress访问UI

[root@master01 longhorn]# yum -y install httpd-tools

[root@master01 longhorn]# htpasswd -c auth xhy #创建用户名和密码

提示:也可通过如下命令创建:
USER=xhy; PASSWORD=x120952576; echo "${USER}:$(openssl passwd -stdin -apr1 <<< ${PASSWORD})" >> auth

[root@master01 longhorn]# kubectl -n longhorn-system create secret generic longhorn-basic-auth --from-file=auth

[root@master01 longhorn]# vi longhorn-ingress.yaml		#创建ingress规则

apiVersion: networking.k8s.io/v1beta1

kind: Ingress

metadata:

name: longhorn-ingress

namespace: longhorn-system

annotations:

nginx.ingress.kubernetes.io/auth-type: basic

nginx.ingress.kubernetes.io/auth-secret: longhorn-basic-auth

nginx.ingress.kubernetes.io/auth-realm: 'Authentication Required '

spec:

rules:

- host: longhorn.odocker.com

http:

paths:

- path: /

backend:

serviceName: longhorn-frontend

servicePort: 80

[root@master01 longhorn]# kubectl apply -f longhorn-ingress.yaml

确认验证

浏览器访问:longhorn.odocker.com,并输入账号和密码。

附022.Kubernetes_2.1.18.3超融合框架图部署架构一

登录查看。

附022.Kubernetes_2.1.18.3超融合框架图部署架构一

Helm安装

参考053.集群管理-Helm工具

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