第一次在云恓社区写博客,就先把自己整理的Kubernetes高可用集群基础环境的搭建流程拿过来试试水.哈哈
先对配置做个简单介绍:proxy使用的是ipvs,网络使用的是calico,堆叠式etcd集群,apiserver的负载均衡使用haproxy+keepalived

本人的github链接 https://github.com/JackWBC/k8s_v1.15.0_HA_cluster

虚拟机环境准备

操作系统 CentOS7 x86_64 mini (建议至少2核CPU,2G内存)
网卡 ens33(不同服务器的不一样, 将安装过程中对应的网卡名称改成自己的即可)
3个master, 3个node, 域名与IP如下

角色	域名	IP
master	master1.k8s	192.168.250.141
master	master2.k8s	192.168.250.142
master	master3.k8s	192.168.250.143
node	node1.k8s	192.168.250.144
node	node2.k8s	192.168.250.145
node	node3.k8s	192.168.250.146
虚拟IP	--	192.168.250.99

虚拟机基础配置

在所有master与node上操作

解决 setLocale 问题

cat <<EOF >  /etc/environment
LANG=en_US.UTF-8
LC_ALL=C
EOF

停止iptables

systemctl stop firewalld.service && systemctl disable  firewalld.service

设置 SELinux 为 disabled 模式

setenforce 0
sed -i 's/^SELINUX=enforcing$/SELINUX=disabled/' /etc/selinux/config

禁用交换分区

swapoff -a && sed -i '/ swap / s/^/#/' /etc/fstab

设置sysctl

cat <<EOF > /etc/sysctl.conf
fs.file-max=1000000
net.bridge.bridge-nf-call-ip6tables = 1
net.bridge.bridge-nf-call-iptables = 1
net.ipv4.ip_forward = 1
vm.swappiness = 0
net.ipv4.ip_forward = 1
net.ipv4.tcp_max_tw_buckets = 6000
net.ipv4.tcp_sack = 1
net.ipv4.tcp_window_scaling = 1
net.ipv4.tcp_rmem = 4096 87380 4194304
net.ipv4.tcp_wmem = 4096 16384 4194304
net.ipv4.tcp_max_syn_backlog = 16384
net.core.netdev_max_backlog = 32768
net.core.somaxconn = 32768
net.core.wmem_default = 8388608
net.core.rmem_default = 8388608
net.core.rmem_max = 16777216
net.core.wmem_max = 16777216
net.ipv4.tcp_timestamps = 1
net.ipv4.tcp_fin_timeout = 20
net.ipv4.tcp_synack_retries = 2
net.ipv4.tcp_syn_retries = 2
net.ipv4.tcp_syncookies = 1
net.ipv4.tcp_tw_reuse = 1
net.ipv4.tcp_mem = 94500000 915000000 927000000
net.ipv4.tcp_max_orphans = 3276800
net.ipv4.ip_local_port_range = 1024 65000
net.nf_conntrack_max = 6553500
net.netfilter.nf_conntrack_max = 6553500
net.netfilter.nf_conntrack_tcp_timeout_close_wait = 60
net.netfilter.nf_conntrack_tcp_timeout_fin_wait = 120
net.netfilter.nf_conntrack_tcp_timeout_time_wait = 120
net.netfilter.nf_conntrack_tcp_timeout_established = 3600
EOF

加载ipvs

cat << EOF | tee /etc/sysconfig/modules/ipvs.modules
modprobe -- ip_vs
modprobe -- ip_vs_rr
modprobe -- ip_vs_wrr
modprobe -- ip_vs_sh
modprobe -- nf_conntrack_ipv4
EOF
chmod 755 /etc/sysconfig/modules/ipvs.modules && bash /etc/sysconfig/modules/ipvs.modules && lsmod | grep -e ip_vs -e nf_conntrack_ipv4

修改yum repo, 提升下载速度

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

CentOS-Base.repo

vi /etc/yum.repos.d/CentOS-Base.repo

# 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.
#
#
[os]
name=Qcloud centos os - $basearch
baseurl=http://mirrors.cloud.tencent.com/centos/$releasever/os/$basearch/
enabled=1
gpgcheck=1
gpgkey=http://mirrors.cloud.tencent.com/centos/RPM-GPG-KEY-CentOS-7

[updates]
name=Qcloud centos updates - $basearch
baseurl=http://mirrors.cloud.tencent.com/centos/$releasever/updates/$basearch/
enabled=1
gpgcheck=1
gpgkey=http://mirrors.cloud.tencent.com/centos/RPM-GPG-KEY-CentOS-7

[centosplus]
name=Qcloud centosplus - $basearch
baseurl=http://mirrors.cloud.tencent.com/centos/$releasever/centosplus/$basearch/
enabled=0
gpgcheck=1
gpgkey=http://mirrors.cloud.tencent.com/centos/RPM-GPG-KEY-CentOS-7

[cloud]
name=Qcloud centos contrib - $basearch
baseurl=http://mirrors.cloud.tencent.com/centos/$releasever/cloud/$basearch/openstack-kilo/
enabled=0
gpgcheck=1
gpgkey=http://mirrors.cloud.tencent.com/centos/RPM-GPG-KEY-CentOS-7

[cr]
name=Qcloud centos cr - $basearch
baseurl=http://mirrors.cloud.tencent.com/centos/$releasever/cr/$basearch/
enabled=0
gpgcheck=1
gpgkey=http://mirrors.cloud.tencent.com/centos/RPM-GPG-KEY-CentOS-7

[extras]
name=Qcloud centos extras - $basearch
baseurl=http://mirrors.cloud.tencent.com/centos/$releasever/extras/$basearch/
enabled=1
gpgcheck=1
gpgkey=http://mirrors.cloud.tencent.com/centos/RPM-GPG-KEY-CentOS-7

[fasttrack]
name=Qcloud centos fasttrack - $basearch
baseurl=http://mirrors.cloud.tencent.com/centos/$releasever/fasttrack/$basearch/
enabled=0
gpgcheck=1
gpgkey=http://mirrors.cloud.tencent.com/centos/RPM-GPG-KEY-CentOS-7

kubernetes.repo

vi /etc/yum.repos.d/kubernetes.repo

[kubernetes]
name=Kubernetes
baseurl=http://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64
enabled=1
gpgcheck=0
repo_gpgcheck=0
gpgkey=http://mirrors.aliyun.com/kubernetes/yum/doc/yum-key.gpg http://mirrors.aliyun.com/kubernetes/yum/doc/rpm-package-key.gpg

docker-ce.repo

vi /etc/yum.repos.d/docker-ce.repo

[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=0
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

清空yum缓存并重新加载

yum clean all
yum makecache

安装相关插件

在所有节点上操作

yum install ipset -y

yum install ipvsadm -y

yum install -y docker-ce-18.09.7-3.el7
mkdir /etc/docker
cat > /etc/docker/daemon.json <<EOF
{
  "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
mkdir -p /etc/systemd/system/docker.service.d
systemctl daemon-reload && systemctl restart docker
systemctl enable docker && systemctl start docker

yum install -y kubelet kubeadm kubectl
systemctl enable kubelet && systemctl start kubelet
systemctl daemon-reload && systemctl restart kubelet

安装haproxy + keepalived, 实现HA

在所有的master节点上配置haproxy代理和keepalived

mkdir /etc/haproxy
cat >/etc/haproxy/haproxy.cfg<<EOF
global
  log 127.0.0.1 local0 err
  maxconn 4096
  uid 99
  gid 99
  #daemon
  nbproc 1
  pidfile haproxy.pid

defaults
  mode http
  log 127.0.0.1 local0 err
  maxconn 4096
  retries 3
  timeout connect 5s
  timeout client 30s
  timeout server 30s
  timeout check 2s

listen admin_stats
  mode http
  bind 0.0.0.0:1080
  log 127.0.0.1 local0 err
  stats refresh 30s
  stats uri     /haproxy-status
  stats realm   Haproxy\ Statistics
  stats auth    baicheng:baicheng
  stats hide-version
  stats admin if TRUE

frontend k8s-https
  bind 0.0.0.0:8443
  mode tcp
  #maxconn 4096
  default_backend k8s-https

backend k8s-https
  mode tcp
  balance roundrobin
  server master1.k8s 192.168.250.141:6443 weight 1 maxconn 1000 check inter 2000 rise 2 fall 3
  server master2.k8s 192.168.250.142:6443 weight 1 maxconn 1000 check inter 2000 rise 2 fall 3
  server master3.k8s 192.168.250.143:6443 weight 1 maxconn 1000 check inter 2000 rise 2 fall 3
EOF

docker run -d --name my-haproxy \
-v /etc/haproxy:/usr/local/etc/haproxy:ro \
-p 8443:8443 \
-p 1080:1080 \
--restart always \
registry.cn-shanghai.aliyuncs.com/baicheng_dev/haproxy:2.0.0

# 注意网卡配置
docker run --net=host --cap-add=NET_ADMIN -d \
-e KEEPALIVED_INTERFACE=ens33 \
-e KEEPALIVED_VIRTUAL_IPS="#PYTHON2BASH:['192.168.250.99']" \
-e KEEPALIVED_UNICAST_PEERS="#PYTHON2BASH:['192.168.250.141','192.168.250.142','192.168.250.143']" \
-e KEEPALIVED_PASSWORD=baicheng \
--name k8s-keepalived \
--restart always \
registry.cn-shanghai.aliyuncs.com/baicheng_dev/keepalived:2.0.16

haproxy与keepalived安装检查

# 查看日志
docker logs my-haproxy
docker logs k8s-keepalived

# ping虚拟IP
ping -c4 192.168.250.99

# 查看haproxy状态 (用户名baicheng, 密码baicheng)
http://master1.k8s:1080/haproxy-status
http://master2.k8s:1080/haproxy-status
http://master3.k8s:1080/haproxy-status

搭建k8s集群基础环境

在所有master节点上配置环境变量

vi .bash_profile
export CP0_IP="192.168.250.99"
export CP1_IP="192.168.250.141"
export CP1_HOSTNAME="master1.k8s"
export CP2_IP="192.168.250.142"
export CP2_HOSTNAME="master2.k8s"
export CP3_IP="192.168.250.143"
export CP3_HOSTNAME="master3.k8s"

source .bash_profile

# 查看是否生效
echo $CP0_IP

在master1上进行操作

cd /etc/kubernetes

cat >kubeadm-config.yaml<<EOF
apiVersion: kubeadm.k8s.io/v1beta2
kind: ClusterConfiguration
kubernetesVersion: v1.15.0
controlPlaneEndpoint:  $CP0_IP:8443
controllerManagerExtraArgs:
    node-monitor-grace-period: 10s
    pod-eviction-timeout: 10s
networking:
    podSubnet: 10.244.0.0/16
kubeProxy:
    config:
        mode: ipvs
imageRepository: registry.cn-shanghai.aliyuncs.com/baicheng_dev
clusterName: baicheng-k8s-cluster
EOF

sudo kubeadm init --config=kubeadm-config.yaml --experimental-upload-certs

根据init输出, 将剩余的master节点以及node节点全部join到集群中
同时根据init输出, 配置并使用kubectl

安装检测

使用kubectl get nodes查看是否所有节点均已加入集群, 并且处于notready状态
检测etcd集群状态

docker run --rm -it \
--net host \
-v /etc/kubernetes:/etc/kubernetes registry.cn-shanghai.aliyuncs.com/baicheng_dev/etcd:3.3.10 etcdctl \
--cert-file /etc/kubernetes/pki/etcd/peer.crt \
--key-file /etc/kubernetes/pki/etcd/peer.key \
--ca-file /etc/kubernetes/pki/etcd/ca.crt \
--endpoints https://${CP1_IP}:2379 cluster-health

配置网络插件 Calico

在任意master节点上操作

cd /etc/kubernetes
mkdir calico && cd calico

vi kube-calico.yaml
# kube-calico.yaml文件见本人github项目目录

kubectl apply -f kube-calico.yaml

使用kubectl get po --all-namespaces 查看并等待所有pod running&ready
这时再次使用kubectl get nodes, 所有节点均已ready

k8s_v1.15.0_HA集群基础环境搭建

虚拟机环境准备

虚拟机基础配置

解决 setLocale 问题

停止iptables

设置 SELinux 为 disabled 模式

禁用交换分区

设置sysctl

加载ipvs

修改yum repo, 提升下载速度

CentOS-Base.repo

kubernetes.repo

docker-ce.repo

清空yum缓存并重新加载

安装相关插件

安装haproxy + keepalived, 实现HA

搭建k8s集群基础环境

安装检测

配置网络插件 Calico

至此, k8s高可用集群的基础环境均已搭建完毕

谢谢

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插件

k8s_v1.15.0_HA集群基础环境搭建

虚拟机环境准备

虚拟机基础配置

解决 setLocale 问题

停止iptables

设置 SELinux 为 disabled 模式

禁用交换分区

设置sysctl

加载ipvs

修改yum repo, 提升下载速度

CentOS-Base.repo

kubernetes.repo

docker-ce.repo

清空yum缓存并重新加载

安装相关插件

安装haproxy + keepalived, 实现HA

搭建k8s集群基础环境

安装检测

配置网络插件 Calico

至此, k8s高可用集群的基础环境均已搭建完毕

谢谢

热门文章

最新文章

相关课程

相关电子书

相关实验场景

推荐镜像