前言
春暖花开的五月,疫情根本过来,值得庆祝,在这美妙的日子里咱们来实战一下 K8S 的高可用负载平衡集群吧。
更新历史
- 2020 年 05月 07 日 - 初稿 - 左程立
- 原文地址 - https://blog.zuolinux.com/2020/05/07/k8s-cluster-on-centos7.html
平台环境
软件信息
- CentOS Linux release 7.7.1908 (Kernel 3.10.0-1062.18.1.el7.x86_64)
- Docker CE 18.09.9
- Kubernetes v1.18.2
- Calico v3.8
- Keepalived v1.3.5
- HAproxy v1.5.18
硬件信息
主机名 | ip |
---|---|
master01 | 192.168.10.12 |
master02 | 192.168.10.13 |
master03 | 192.168.10.14 |
work01 | 192.168.10.15 |
work02 | 192.168.10.16 |
work03 | 192.168.10.17 |
VIP | 192.168.10.19 |
集群配置
初始化
master/worker 均执行
# cat >> /etc/hosts << EOF192.168.10.12 master01192.168.10.13 master02192.168.10.14 master03192.168.10.15 work01192.168.10.16 work02192.168.10.17 work03EOF
# 敞开防火墙systemctl stop firewalldsystemctl disable firewalld# 敞开 SeLinuxsetenforce 0sed -i "s/SELINUX=enforcing/SELINUX=disabled/g" /etc/selinux/config# 敞开 swapswapoff -ayes | cp /etc/fstab /etc/fstab_bakcat /etc/fstab_bak |grep -v swap > /etc/fstab# 装置wgetyum install wget -y# 备份mv /etc/yum.repos.d/CentOS-Base.repo /etc/yum.repos.d/CentOS-Base.repo.backup# 阿里云yum源wget -O /etc/yum.repos.d/CentOS-Base.repo http://mirrors.aliyun.com/repo/Centos-7.repo# 获取阿里云epel源wget -O /etc/yum.repos.d/epel.repo http://mirrors.aliyun.com/repo/epel-7.repo# 清理缓存并创立新的缓存yum clean all && yum makecache# 更新yum update -y#同步工夫timedatectltimedatectl set-ntp true
装置 Docker
master/worker 均装置
# 装置 Docker CE# 设置仓库# 装置所需包yum install -y yum-utils device-mapper-persistent-data lvm2# 新增 Docker 装置源yum-config-manager \ --add-repo \ http://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo# 装置 Docker CE.yum install -y containerd.io \ docker-ce-18.09.9 \ docker-ce-cli-18.09.9# 启动 Docker 并增加开机启动systemctl start dockersystemctl enable docker#将Docker 的 Cgroup Driver 批改为 systemd#批改为国内源cat > /etc/docker/daemon.json <<EOF{ "exec-opts": ["native.cgroupdriver=systemd"], "log-driver": "json-file", "log-opts": { "max-size": "100m" }, "storage-driver": "overlay2", "registry-mirrors":[ "http://hub-mirror.c.163.com", "https://docker.mirrors.ustc.edu.cn", "https://registry.docker-cn.com" ]}EOFmkdir -p /etc/systemd/system/docker.service.d# Restart docker.systemctl daemon-reloadsystemctl restart docker
装置 kubeadm、kubelet 、kubectl
master/worker 节点均执行
# 配置K8S的yum源,最好应用官网源cat <<EOF > /etc/yum.repos.d/kubernetes.repo[kubernetes]name=Kubernetesbaseurl=http://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64enabled=1gpgcheck=1repo_gpgcheck=1gpgkey=http://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg https://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpgEOF# 减少配置cat <<EOF > /etc/sysctl.d/k8s.confnet.ipv4.ip_forward=1net.bridge.bridge-nf-call-ip6tables = 1net.bridge.bridge-nf-call-iptables = 1EOF# 加载sysctl --system# 装置以后日期最新稳定版(v1.18.2) kubelet、 kubeadm 、kubectlyum install -y kubelet-1.18.2 kubeadm-1.18.2 kubectl-1.18.2 --disableexcludes=kubernetes# 启动并设置 kubelet 开机启动systemctl start kubeletsystemctl enable kubelet
HAProxy 实现 apiserver 负载平衡集群
所有 master 节点执行
yum install haproxy-1.5.18 -ycat > /etc/haproxy/haproxy.cfg <<EOFglobal log 127.0.0.1 local2 chroot /var/lib/haproxy pidfile /var/run/haproxy.pid maxconn 4000 user haproxy group haproxy daemon # turn on stats unix socket stats socket /var/lib/haproxy/statsdefaults mode http log global option httplog option dontlognull option http-server-close retries 3 timeout http-request 10s timeout queue 1m timeout connect 10s timeout client 1m timeout server 1m timeout http-keep-alive 10s timeout check 10s maxconn 3000frontend k8s-api mode tcp option tcplog bind *:16443 default_backend k8s-apibackend k8s-api mode tcp balance roundrobin server master01 192.168.10.12:6443 check server master02 192.168.10.13:6443 check server master03 192.168.10.14:6443 checkEOF
所有 master 节点启动 HAProxy
systemctl start haproxysystemctl enable haproxy
Keepalived实现 apiserver 高可用集群
所有 master 节点执行
yum -y install keepalived psmisc
master01 上 keepalived 的配置:
# cat > /etc/keepalived/keepalived.conf <<EOF! Configuration File for keepalivedglobal_defs { router_id master01 script_user root enable_script_security }vrrp_script check_haproxy { script "killall -0 haproxy" interval 2 weight 10}vrrp_instance VI_1 { state MASTER interface ens192 virtual_router_id 50 priority 100 advert_int 1 authentication { auth_type PASS auth_pass 1111 } virtual_ipaddress { 192.168.10.19 } track_script { check_haproxy }}EOF
master02 上 keepalived 的配置:
# cat > /etc/keepalived/keepalived.conf <<EOF! Configuration File for keepalivedglobal_defs { router_id master02 script_user root enable_script_security }vrrp_script check_haproxy { script "killall -0 haproxy" interval 2 weight 10}vrrp_instance VI_1 { state BACKUP interface ens192 virtual_router_id 50 priority 98 advert_int 1 authentication { auth_type PASS auth_pass 1111 } virtual_ipaddress { 192.168.10.19 } track_script { check_haproxy }}EOF
master03 上 keepalived 的配置:
# cat > /etc/keepalived/keepalived.conf <<EOF! Configuration File for keepalivedglobal_defs { router_id master03 script_user root enable_script_security }vrrp_script check_haproxy { script "killall -0 haproxy" interval 2 weight 10}vrrp_instance VI_1 { state BACKUP interface ens192 virtual_router_id 50 priority 96 advert_int 1 authentication { auth_type PASS auth_pass 1111 } virtual_ipaddress { 192.168.10.19 } track_script { check_haproxy }}EOF
所有 master 节点执行
service keepalived startsystemctl enable keepalived
留神
- vrrp_script 中参数 weight 肯定要大于 master 和 backup 的 priority 的相差值
- vrrp_instance 中参数 nopreempt 能够避免 master 复原后主动回切
创立 K8S 集群
在初始化之前,须要先设置 hosts 解析
MASTER_IP 为 VIP 的地址
APISERVER_NAME 为 VIP 的域名
export MASTER_IP=192.168.10.19export APISERVER_NAME=k8s.apiecho "${MASTER_IP} ${APISERVER_NAME}" >> /etc/hosts
在 master01 上执行 kubeadm init 进行初始化
kubeadm init \ --apiserver-advertise-address 0.0.0.0 \ --apiserver-bind-port 6443 \ --cert-dir /etc/kubernetes/pki \ --control-plane-endpoint k8s.api \ --image-repository registry.cn-hangzhou.aliyuncs.com/google_containers \ --kubernetes-version 1.18.2 \ --pod-network-cidr 192.10.0.0/16 \ --service-cidr 192.20.0.0/16 \ --service-dns-domain cluster.local \ --upload-certs
留神保留后果中两行 kubeadm join 结尾内容,用于增加其余 master、worker 节点到集群中。
加载环境变量
master01 上执行,用于治理集群
如果在root用户下
echo "export KUBECONFIG=/etc/kubernetes/admin.conf" >> ~/.bash_profilesource .bash_profile
如果非root用户下
mkdir -p $HOME/.kubesudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/configsudo chown $(id -u):$(id -g) $HOME/.kube/config
装置 Pod 网络组件
master01 上执行
# 获取配置文件mkdir calico && cd calicowget https://docs.projectcalico.org/v3.8/manifests/calico.yaml# 批改配置文件vi calico.yaml# 找到 192.168.0.0/16 ,批改为 192.10.0.0/16# 部署 Pod 网络组件kubectl apply -f calico.yaml
实时查看 pod 的状态
watch kubectl get pods --all-namespaces -o wide
增加其余 master 节点到K8S集群
在其余 master 节点执行应用 master01 上 kubeadm init 的执行后果中蕴含 join 的指令信息
端口由 6443 批改为 16443
export MASTER_IP=192.168.10.19export APISERVER_NAME=k8s.apiecho "${MASTER_IP} ${APISERVER_NAME}" >> /etc/hosts
kubeadm join k8s.api:16443 --token ztjux9.2tau56zck212j9ra \ --discovery-token-ca-cert-hash sha256:a2b552266902fb5f6620330fc1a6638a9cdd6fec3408edba1082e6c8389ac517 \ --control-plane --certificate-key 961494e7d0a9de0219e2b0dc8bdaa9ca334ecf093a6c5f648aa34040ad39b61a
echo "export KUBECONFIG=/etc/kubernetes/admin.conf" >> ~/.bash_profilesource .bash_profile
将所有 Worker 节点增加到K8S集群
在worker 节点执行应用 master01 上 kubeadm init 的执行后果中蕴含 join 的指令信息
端口由 6443 批改为 16443
export MASTER_IP=192.168.10.19export APISERVER_NAME=k8s.apiecho "${MASTER_IP} ${APISERVER_NAME}" >> /etc/hosts
kubeadm join k8s.api:16443 --token ztjux9.2tau56zck212j9ra \ --discovery-token-ca-cert-hash sha256:a2b552266902fb5f6620330fc1a6638a9cdd6fec3408edba1082e6c8389ac517
master01 上查看集群
watch kubectl get nodes -o wide
全副为 Ready 阐明集群装置胜利。
破坏性测试
- 把 master01 的 haproxy 停掉
- 把 master01 机器关机
能够看到 VIP 能够漂移到 master02 上
而后能够在 master02 做同样操作察看 VIP 是否能够漂到 master03 上
结束语
明天次要是实战搭建了 K8S 高可用负载平衡集群,是我实际操作的记录。
那么你有没有发现有个中央其实能够进一步的优化。
送你一碗鸡汤喝
- 问题遇到的越早越好,如果你没有遇到问题,阐明你的问题更大。
参考文章
https://wsgzao.github.io/post...https://www.kubernetes.org.cn...
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