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kubernetes 手动搭建

发布时间：2020-08-01 18:43:25 作者：筱筱1205
来源：网络 阅读：455

01.系统初始化和全局变量

主机分配

主机名

系统

ip地址

vip

dev-k8s-master1

centos7.6

172.19.201.244

172.19.201.242

dev-k8s-master2

centos7.6

172.19.201.249


dev-k8s-master2

centos7.6

172.19.201.248


dev-k8s-node1

centos7.6

172.19.201.247


dev-k8s-node2

centos7.6

172.19.201.246


dev-k8s-node3

centos7.6

172.19.201.243


flanne


10.10.0.0/16


docker


10.10.1.1/24


主机名

设置永久主机名称，然后重新登录:

 

hostnamectl set-hostname dev-k8s-master1

 

设置的主机名保存在 /etc/hostname 文件中；


无密码 ssh 登录其它节点

如果没有特殊指明，本文档的所有操作均在 zhangjun-k8s01 节点上执行，然后远程分发文件和执行命令，所以需要添加该节点到其它节点的 ssh 信任关系。

设置 zhangjun-k8s01 的 root 账户可以无密码登录所有节点：

ssh-keygen -t rsa

ssh-copy-id root@dev_k8s_master1

...

 

更新 PATH 变量

将可执行文件目录添加到 PATH 环境变量中：

echo 'PATH=/opt/k8s/bin:$PATH' >>/root/.bashrc

source /root/.bashrc

 

安装依赖包

在每台机器上安装依赖包：

CentOS:

yum install -y epel-release

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

 

 

关闭防火墙

在每台机器上关闭防火墙，清理防火墙规则，设置默认转发策略：

systemctl stop firewalld

systemctl disable firewalld

iptables -F && iptables -X && iptables -F -t nat && iptables -X -t nat

iptables -P FORWARD ACCEPT

 

关闭 swap 分区

如果开启了 swap 分区，kubelet 会启动失败(可以通过将参数 --fail-swap-on 设置为 false 来忽略 swap on)，故需要在每台机器上关闭 swap 分区。同时注释 /etc/fstab 中相应的条目，防止开机自动挂载 swap 分区：

 

swapoff -a

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

关闭 SELinux

关闭 SELinux，否则后续 K8S 挂载目录时可能报错 Permission denied：

setenforce 0

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

加载内核模块

modprobe ip_vs_rr

modprobe br_netfilter

 

优化内核参数

cat > kubernetes.conf <<EOF
net.bridge.bridge-nf-call-iptables=1
net.bridge.bridge-nf-call-ip6tables=1
net.ipv4.ip_forward=1
net.ipv4.tcp_tw_recycle=0
vm.swappiness=0
vm.overcommit_memory=1
vm.panic_on_oom=0
fs.inotify.max_user_instances=8192
fs.inotify.max_user_watches=1048576
fs.file-max=52706963
fs.nr_open=52706963
net.ipv6.conf.all.disable_ipv6=1
net.netfilter.nf_conntrack_max=2310720
EOF

cp kubernetes.conf  /etc/sysctl.d/kubernetes.conf

sysctl -p /etc/sysctl.d/kubernetes.conf

设置系统时区

# 调整系统 TimeZone

timedatectl set-timezone Asia/Shanghai

 

关闭无关的服务

systemctl stop postfix && systemctl disable postfix

设置 rsyslogd 和 systemd journald

systemd 的 journald 是 Centos 7 缺省的日志记录工具，它记录了所有系统、内核、Service Unit 的日志。

相比 systemd，journald 记录的日志有如下优势：

journald 默认将日志转发给 rsyslog，这会导致日志写了多份，/var/log/messages 中包含了太多无关日志，不方便后续查看，同时也影响系统性能。

# 持久化保存日志的目录

mkdir /var/log/journal
mkdir /etc/systemd/journald.conf.d
cat > /etc/systemd/journald.conf.d/99-prophet.conf <<EOF
[Journal]
Storage=persistent
Compress=yes
SyncIntervalSec=5m
RateLimitInterval=30s
RateLimitBurst=1000
SystemMaxUse=10G
SystemMaxFileSize=200M
MaxRetentionSec=2week
ForwardToSyslog=no
EOF

 

systemctl restart systemd-journald

 

创建相关目录

创建目录：

mkdir -p  /opt/k8s/{bin,work} /etc/{kubernetes,etcd}/cert

升级内核

yum -y update

rpm --import https://www.elrepo.org/RPM-GPG-KEY-elrepo.org

rpm -Uvh http://www.elrepo.org/elrepo-release-7.0-2.el7.elrepo.noarch.rpm

yum --disablerepo="*" --enablerepo="elrepo-kernel" list available

yum --enablerepo=elrepo-kernel install kernel-lt.x86_64 -y

sudo awk -F\' '$1=="menuentry " {print i++ " : " $2}' /etc/grub2.cfg

       kubernetes 手动搭建      

sudo grub2-set-default 0

安装内核源文件（可选，在升级完内核并重启机器后执行）:

 

 

02.创建 CA 证书和秘钥

安装 cfssl 工具集

sudo mkdir -p /opt/k8s/cert && cd /opt/k8s

wget https://pkg.cfssl.org/R1.2/cfssl_linux-amd64

mv cfssl_linux-amd64 /opt/k8s/bin/cfssl

 

wget https://pkg.cfssl.org/R1.2/cfssljson_linux-amd64

mv cfssljson_linux-amd64 /opt/k8s/bin/cfssljson

 

wget https://pkg.cfssl.org/R1.2/cfssl-certinfo_linux-amd64

mv cfssl-certinfo_linux-amd64 /opt/k8s/bin/cfssl-certinfo

 

chmod +x /opt/k8s/bin/*

export PATH=/opt/k8s/bin:$PATH

 

创建根证书 (CA)

CA 证书是集群所有节点共享的，只需要创建一个 CA 证书，后续创建的所有证书都由它签名。

创建配置文件

CA 配置文件用于配置根证书的使用场景 (profile) 和具体参数 (usage，过期时间、服务端认证、客户端认证、加密等)，后续在签名其它证书时需要指定特定场景。

cd /opt/k8s/work
cat > ca-config.json <<EOF
{
 "signing": {
   "default": {
     "expiry": "87600h"
   },
   "profiles": {
     "kubernetes": {
       "usages": [
           "signing",
           "key encipherment",
           "server auth",
           "client auth"
       ],
       "expiry": "87600h"
     }
   }
 }
}
EOF

 

 

创建证书签名请求文件

cd /opt/k8s/work
cat > ca-csr.json <<EOF
{
 "CN": "kubernetes",
 "key": {
   "algo": "rsa",
   "size": 2048
 },
 "names": [
   {
     "C": "CN",
     "ST": "BeiJing",
     "L": "BeiJing",
     "O": "k8s",
     "OU": "4Paradigm"
   }
 ],
 "ca": {
   "expiry": "876000h"
}
}
EOF

 

 

生成 CA 证书和私钥

cd /opt/k8s/work

cfssl gencert -initca ca-csr.json | cfssljson -bare ca

ls ca*

 

分发证书文件

将生成的 CA 证书、秘钥文件、配置文件拷贝到所有节点的 /etc/kubernetes/cert 目录下：

mkdir -p /etc/kubernetes/cert

scp ca*.pem ca-config.json root@${node_ip}:/etc/kubernetes/cert

 

 

下载和分发 kubectl 二进制文件

下载和解压：

cd /opt/k8s/work

wget https://dl.k8s.io/v1.14.2/kubernetes-client-linux-amd64.tar.gz

tar -xzvf kubernetes-client-linux-amd64.tar.gz

 

分发到所有使用 kubectl 的节点：

 

scp kubernetes/client/bin/kubectl root@dev-k8s-master1:/opt/k8s/bin/

chmod +x /opt/k8s/bin/*

 

 

创建 admin 证书和私钥

kubectl 与 apiserver https 安全端口通信，apiserver 对提供的证书进行认证和授权。

kubectl 作为集群的管理工具，需要被授予最高权限，这里创建具有最高权限的 admin 证书。

创建证书签名请求：

cd /opt/k8s/work
cat > admin-csr.json <<EOF
{
 "CN": "admin",
 "hosts": [],
 "key": {
   "algo": "rsa",
   "size": 2048
 },
 "names": [
   {
     "C": "CN",
     "ST": "BeiJing",
     "L": "BeiJing",
     "O": "system:masters",
     "OU": "4Paradigm"
   }
 ]
}
EOF

 

 

生成证书和私钥：

cd /opt/k8s/work

cfssl gencert -ca=/opt/k8s/work/ca.pem \

 -ca-key=/opt/k8s/work/ca-key.pem \

 -config=/opt/k8s/work/ca-config.json \

 -profile=kubernetes admin-csr.json | cfssljson -bare admin

 

 

创建 kubeconfig 文件

kubeconfig 为 kubectl 的配置文件，包含访问 apiserver 的所有信息，如 apiserver 地址、CA 证书和自身使用的证书；

cd /opt/k8s/work

 

# 设置集群参数

kubectl config set-cluster kubernetes \

 --certificate-authority=/opt/k8s/work/ca.pem \

 --embed-certs=true \

 --server=https://172.19.201.242:8443 \

 --kubeconfig=kubectl.kubeconfig

 

# 设置客户端认证参数

kubectl config set-credentials admin \

 --client-certificate=/opt/k8s/work/admin.pem \

 --client-key=/opt/k8s/work/admin-key.pem \

 --embed-certs=true \

 --kubeconfig=kubectl.kubeconfig

 

# 设置上下文参数

kubectl config set-context kubernetes \

 --cluster=kubernetes \

 --user=admin \

 --kubeconfig=kubectl.kubeconfig

 

# 设置默认上下文

kubectl config use-context kubernetes --kubeconfig=kubectl.kubeconfig

分发 kubeconfig 文件

分发到所有使用 kubectl 命令的节点：

cd /opt/k8s/work

mkdir -p ~/.kube

scp kubectl.kubeconfig root@dev-k8s-master1:~/.kube/config

 

03.部署 kubectl 命令行工具

下载和分发 kubectl 二进制文件

下载和解压：

cd /opt/k8s/work

wget https://dl.k8s.io/v1.14.2/kubernetes-client-linux-amd64.tar.gz

tar -xzvf kubernetes-client-linux-amd64.tar.gz

 

分发到所有使用 kubectl 的节点：

 

cd /opt/k8s/work

scp kubernetes/client/bin/kubectl root@dev-k8s-master1:/opt/k8s/bin/

chmod +x /opt/k8s/bin/*

创建 admin 证书和私钥

kubectl 与 apiserver https 安全端口通信，apiserver 对提供的证书进行认证和授权。

kubectl 作为集群的管理工具，需要被授予最高权限，这里创建具有最高权限的 admin 证书。

创建证书签名请求：

cd /opt/k8s/work
cat > admin-csr.json <<EOF
{
 "CN": "admin",
 "hosts": [],
 "key": {
   "algo": "rsa",
   "size": 2048
 },
 "names": [
   {
     "C": "CN",
     "ST": "BeiJing",
     "L": "BeiJing",
     "O": "system:masters",
     "OU": "4Paradigm"
   }
 ]
}
EOF

 

 

生成证书和私钥：

cd /opt/k8s/work

cfssl gencert -ca=/opt/k8s/work/ca.pem \

 -ca-key=/opt/k8s/work/ca-key.pem \

 -config=/opt/k8s/work/ca-config.json \

 -profile=kubernetes admin-csr.json | cfssljson -bare admin

 

 

创建 kubeconfig 文件

kubeconfig 为 kubectl 的配置文件，包含访问 apiserver 的所有信息，如 apiserver 地址、CA 证书和自身使用的证书；

cd /opt/k8s/work

 

# 设置集群参数

kubectl config set-cluster kubernetes \

 --certificate-authority=/opt/k8s/work/ca.pem \

 --embed-certs=true \

 --server="https://172.19.201.202:8443" \

 --kubeconfig=kubectl.kubeconfig

 

# 设置客户端认证参数

kubectl config set-credentials admin \

 --client-certificate=/opt/k8s/work/admin.pem \

 --client-key=/opt/k8s/work/admin-key.pem \

 --embed-certs=true \

 --kubeconfig=kubectl.kubeconfig

 

# 设置上下文参数

kubectl config set-context kubernetes \

 --cluster=kubernetes \

 --user=admin \

 --kubeconfig=kubectl.kubeconfig

 

# 设置默认上下文

kubectl config use-context kubernetes --kubeconfig=kubectl.kubeconfig

 

 

分发 kubeconfig 文件

分发到所有使用 kubectl 命令的节点：

cd /opt/k8s/work

mkdir -p ~/.kube

scp kubectl.kubeconfig root@dev-k8s-master1:/root/.kube/config

 

 

 

 

04部署haproxy+keepalived

部署keepalived【所有master】

此处的keeplived的主要作用是为haproxy提供vip（172.19.201.242），在三个haproxy实例之间提供主备，降低当其中一个haproxy失效的时对服务的影响。

 

安装keepalived

yum install -y keepalived

配置keepalived：

[注意：VIP地址是否正确，且各个节点的priority不同，master1节点为MASTER，其余节点为BACKUP，killall -0 意思是根据进程名称检测进程是否存活]

cat > /etc/keepalived/keepalived.conf <<EOF
! Configuration File for keepalived
global_defs {
  router_id LVS_DEVEL
}
vrrp_script check_haproxy {
   script "killall -0 haproxy"
   interval 3
   weight -2
   fall 10
   rise 2
}
vrrp_instance VI_1 {
   state MASTER
   interface eno1
   virtual_router_id 51
   priority 100
   advert_int 1
   authentication {
       auth_type PASS
       auth_pass 1111
   }
   virtual_ipaddress {
       172.19.201.242
   }
}
EOF

 

scp -pr /etc/keepalived/keepalived.conf root@dev-k8s-master2:/etc/keepalived/   (master节点)

 

1.killall -0 根据进程名称检测进程是否存活，如果服务器没有该命令，请使用yum install psmisc -y安装

2.第一个master节点的state为MASTER，其他master节点的state为BACKUP

3.priority表示各个节点的优先级，范围：0～250（非强制要求）

 

启动并检测服务

systemctl enable keepalived.service 

systemctl start keepalived.service

systemctl status keepalived.service 

ip address show eno1

 

部署haproxy【所有master】

此处的haproxy为apiserver提供反向代理，haproxy将所有请求轮询转发到每个master节点上。相对于仅仅使用keepalived主备模式仅单个master节点承载流量，这种方式更加合理、健壮。

 

安装haproxy

yum install -y haproxy

配置haproxy【三个master节点一样】

cat > /etc/haproxy/haproxy.cfg << EOF
#---------------------------------------------------------------------
# Example configuration for a possible web application.  See the
# full configuration options online.
#
#   http://haproxy.1wt.eu/download/1.4/doc/configuration.txt
#
#---------------------------------------------------------------------
 
#---------------------------------------------------------------------
# Global settings
#---------------------------------------------------------------------
global
   # to have these messages end up in /var/log/haproxy.log you will
   # need to:
   #
   # 1) configure syslog to accept network log events.  This is done
   #    by adding the '-r' option to the SYSLOGD_OPTIONS in
   #    /etc/sysconfig/syslog
   #
   # 2) configure local2 events to go to the /var/log/haproxy.log
   #   file. A line like the following can be added to
   #   /etc/sysconfig/syslog
   #
   #    local2.*                       /var/log/haproxy.log
   #
   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/stats
 
#---------------------------------------------------------------------
# common defaults that all the 'listen' and 'backend' sections will
# use if not designated in their block
#---------------------------------------------------------------------
defaults
   mode                    http
   log                     global
   option                  httplog
   option                  dontlognull
   option http-server-close
   option forwardfor       except 127.0.0.0/8
   option                  redispatch
   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                 3000
 
#---------------------------------------------------------------------
# main frontend which proxys to the backends
#---------------------------------------------------------------------
frontend  kubernetes-apiserver
   mode                 tcp
   bind                 *:8443
   option               tcplog
   default_backend      kubernetes-apiserver
 
 
#---------------------------------------------------------------------
# round robin balancing between the various backends
#---------------------------------------------------------------------
backend kubernetes-apiserver
   mode        tcp
   balance     roundrobin
   server  dev-k8s-master1 172.19.201.244:6443 check
   server  dev-k8s-master2 172.19.201.249:6443 check
   server  dev-k8s-master3 172.19.201.248:6443 check
 
#---------------------------------------------------------------------
# collection haproxy statistics message
#---------------------------------------------------------------------
listen stats
   bind                 *:1080
   stats auth           admin:awesomePassword
   stats refresh        5s
   stats realm          HAProxy\ Statistics
   stats uri            /admin?stats

 

 

把配置文件拷贝到其他两台master节点

scp -pr /etc/haproxy/haproxy.cfg root@dev-k8s-master2:/etc/haproxy/

 

启动并检测服务

 systemctl enable haproxy.service 

 systemctl start haproxy.service 

 systemctl status haproxy.service 

 ss -lnt | grep -E "8443|1080"

 

05.部署 etcd 集群

下载和分发 etcd 二进制文件

到 etcd 的 release 页面 下载最新版本的发布包：

cd /opt/k8s/work

wget https://github.com/coreos/etcd/releases/download/v3.3.13/etcd-v3.3.13-linux-amd64.tar.gz

tar -xvf etcd-v3.3.13-linux-amd64.tar.gz

 

分发二进制文件到集群所有节点：

cd /opt/k8s/work

scp etcd-v3.3.13-linux-amd64/etcd* root@${node_ip}:/opt/k8s/bin

chmod +x /opt/k8s/bin/*

创建 etcd 证书和私钥

创建证书签名请求：

cd /opt/k8s/work
cat > etcd-csr.json <<EOF
{
 "CN": "etcd",
 "hosts": [
   "127.0.0.1",
   "172.19.201.244",
   "172.19.201.249",
   "172.19.201.248",
   "172.19.201.242"
 ],
 "key": {
   "algo": "rsa",
   "size": 2048
 },
 "names": [
   {
     "C": "CN",
     "ST": "BeiJing",
     "L": "BeiJing",
     "O": "k8s",
     "OU": "4Paradigm"
   }
 ]
}
EOF

 

 

生成证书和私钥：

cd /opt/k8s/work

cfssl gencert -ca=/opt/k8s/work/ca.pem \

   -ca-key=/opt/k8s/work/ca-key.pem \

   -config=/opt/k8s/work/ca-config.json \

   -profile=kubernetes etcd-csr.json | cfssljson -bare etcd

 

分发生成的证书和私钥到各 etcd 节点：

cd /opt/k8s/work

mkdir -p /etc/etcd/cert

scp etcd*.pem root@dev-k8s-master1:/etc/etcd/cert/

 

创建 etcd 的 systemd 文件

vim /etc/systemd/system/etcd.service
[Unit]
Description=Etcd Server
After=network.target
After=network-online.target
Wants=network-online.target
Documentation=https://github.com/coreos
 
[Service]
Type=notify
WorkingDirectory=/data/k8s/etcd/data
ExecStart=/opt/k8s/bin/etcd \
  --data-dir=/data/k8s/etcd/data \
  --wal-dir=/data/k8s/etcd/wal \
  --name=dev-k8s-master1 \
  --cert-file=/etc/etcd/cert/etcd.pem \
  --key-file=/etc/etcd/cert/etcd-key.pem \
  --trusted-ca-file=/etc/kubernetes/cert/ca.pem \
  --peer-cert-file=/etc/etcd/cert/etcd.pem \
  --peer-key-file=/etc/etcd/cert/etcd-key.pem \
  --peer-trusted-ca-file=/etc/kubernetes/cert/ca.pem \
  --peer-client-cert-auth \
  --client-cert-auth \
  --listen-peer-urls=https://172.19.201.244:2380 \
  --initial-advertise-peer-urls=https://172.19.201.244:2380 \
  --listen-client-urls=https://172.19.201.244:2379,http://127.0.0.1:2379 \
  --advertise-client-urls=https://172.19.201.244:2379 \
  --initial-cluster-token=etcd-cluster-0 \
  --initial-cluster=dev-k8s-master1=https://172.19.201.244:2380,dev-k8s-master2=https://172.19.201.249:2380,dev-k8s-master3=https://172.19.201.
248:2380 \
  --initial-cluster-state=new \
  --auto-compaction-mode=periodic \
  --auto-compaction-retention=1 \
  --max-request-bytes=33554432 \
  --quota-backend-bytes=6442450944 \
  --heartbeat-interval=250 \
  --election-timeout=2000
Restart=on-failure
RestartSec=5
LimitNOFILE=65536
 
[Install]
WantedBy=multi-user.target

 

 

验证服务状态

部署完 etcd 集群后，在任一 etcd 节点上执行如下命令：

cd /opt/k8s/work

ETCDCTL_API=3 /opt/k8s/bin/etcdctl \

   --endpoints=https://172.19.201.244:2379,https://172.19.201.249:2379,https://172.19.201.248:2379 \

   --cacert=/opt/k8s/work/ca.pem \

   --cert=/etc/etcd/cert/etcd.pem \

   --key=/etc/etcd/cert/etcd-key.pem endpoint health

 

输出结果：输出均为 healthy 时表示集群服务正常。

 

查看当前的 leader

ETCDCTL_API=3 /opt/k8s/bin/etcdctl \

 -w table --cacert=/opt/k8s/work/ca.pem \

 --cert=/etc/etcd/cert/etcd.pem \

 --key=/etc/etcd/cert/etcd-key.pem \

 --endpoints=https://172.19.201.244:2379,https://172.19.201.249:2379,https://172.19.201.248:2379 endpoint status

 

 

       kubernetes 手动搭建      

 

 

06.部署 flannel 网络

下载和分发 flanneld 二进制文件

从 flannel 的 release 页面 下载最新版本的安装包：

cd /opt/k8s/work

mkdir flannel

wget https://github.com/coreos/flannel/releases/download/v0.11.0/flannel-v0.11.0-linux-amd64.tar.gz

tar -xzvf flannel-v0.11.0-linux-amd64.tar.gz -C flannel

 

分发二进制文件到集群所有节点：

cd /opt/k8s/work

source /opt/k8s/bin/environment.sh

scp flannel/{flanneld,mk-docker-opts.sh} root@dev-k8s-node1:/opt/k8s/bin/

chmod +x /opt/k8s/bin/*

 

 

创建 flannel 证书和私钥

flanneld 从 etcd 集群存取网段分配信息，而 etcd 集群启用了双向 x509 证书认证，所以需要为 flanneld 生成证书和私钥。

创建证书签名请求：

cd /opt/k8s/work
cat > flanneld-csr.json <<EOF
{
 "CN": "flanneld",
 "hosts": [],
 "key": {
   "algo": "rsa",
   "size": 2048
 },
 "names": [
   {
     "C": "CN",
     "ST": "BeiJing",
     "L": "BeiJing",
     "O": "k8s",
     "OU": "4Paradigm"
   }
 ]
}
EOF

 

 

生成证书和私钥：

 

cfssl gencert -ca=/opt/k8s/work/ca.pem \

 -ca-key=/opt/k8s/work/ca-key.pem \

 -config=/opt/k8s/work/ca-config.json \

 -profile=kubernetes flanneld-csr.json | cfssljson -bare flanneld

 

将生成的证书和私钥分发到所有节点（master 和 worker）：

cd /opt/k8s/work

mkdir -p /etc/flanneld/cert

scp flanneld*.pem root@dev-k8s-master1:/etc/flanneld/cert

 

 

向 etcd 写入集群 Pod 网段信息

注意：本步骤只需执行一次。

cd /opt/k8s/work

etcdctl \

 --endpoints=https://172.19.201.244:2379,https://172.19.201.249:2379,https://172.19.201.248:2379 \

 --ca-file=/opt/k8s/work/ca.pem \

 --cert-file=/opt/k8s/work/flanneld.pem \

 --key-file=/opt/k8s/work/flanneld-key.pem \

 set /kubernetes/network/config '{"Network":"'10.10.0.0/16'", "SubnetLen": 21, "Backend": {"Type": "vxlan"}}'

 

 

创建 flanneld 的 systemd unit 文件

cat /etc/systemd/system/flanneld.service
[Unit]
Description=Flanneld overlay address etcd agent
After=network.target
After=network-online.target
Wants=network-online.target
After=etcd.service
Before=docker.service
 
[Service]
Type=notify
ExecStart=/opt/k8s/bin/flanneld \
  -etcd-cafile=/etc/kubernetes/cert/ca.pem \
  -etcd-certfile=/etc/flanneld/cert/flanneld.pem \
  -etcd-keyfile=/etc/flanneld/cert/flanneld-key.pem \
  -etcd-endpoints=https://172.19.201.244:2379,https://172.19.201.249:2379,https://172.19.201.248:2379 \
  -etcd-prefix=/kubernetes/network \
  -iface=eno1 \
  -ip-masq
ExecStartPost=/opt/k8s/bin/mk-docker-opts.sh -k DOCKER_NETWORK_OPTIONS -d /run/flannel/docker
Restart=always
RestartSec=5
StartLimitInterval=0
 
[Install]
WantedBy=multi-user.target
RequiredBy=docker.service

 

启动 flanneld 服务

systemctl daemon-reload && systemctl enable flanneld && systemctl restart flanneld

 

检查分配给各 flanneld 的 Pod 网段信息

查看集群 Pod 网段(/16)：

etcdctl \

 --endpoints=https://172.19.201.244:2379,https://172.19.201.249:2379,https://172.19.201.248:2379 \

 --ca-file=/etc/kubernetes/cert/ca.pem \

 --cert-file=/etc/flanneld/cert/flanneld.pem \

 --key-file=/etc/flanneld/cert/flanneld-key.pem \

 get /kubernetes/network/config

 

输出：

{"Network":"10.10.0.0/16", "SubnetLen": 21, "Backend": {"Type": "vxlan"}}

 

 

查看已分配的 Pod 子网段列表(/24):

etcdctl \

 --endpoints=https://172.19.201.244:2379,https://172.19.201.249:2379,https://172.19.201.248:2379 \

 --ca-file=/etc/kubernetes/cert/ca.pem \

 --cert-file=/etc/flanneld/cert/flanneld.pem \

 --key-file=/etc/flanneld/cert/flanneld-key.pem \

 ls /kubernetes/network/subnets

 

输出（结果视部署情况而定）：

       kubernetes 手动搭建      

 

查看某一 Pod 网段对应的节点 IP 和 flannel 接口地址:

 

etcdctl \

 --endpoints=https://172.19.201.244:2379,https://172.19.201.249:2379,https://172.19.201.248:2379 \

 --ca-file=/etc/kubernetes/cert/ca.pem \

 --cert-file=/etc/flanneld/cert/flanneld.pem \

 --key-file=/etc/flanneld/cert/flanneld-key.pem \

 get  /kubernetes/network/subnets/10.10.80.0-21

 

输出（结果视部署情况而定）：

       kubernetes 手动搭建      

检查节点 flannel 网络信息

       kubernetes 手动搭建      

 

flannel.1 网卡的地址为分配的 Pod 子网段的第一个 IP（.0），且是 /32 的地址；

[root@dev-k8s-node1 ~]# ip route show |grep flannel.1

       kubernetes 手动搭建      

 

 

验证各节点能通过 Pod 网段互通

在各节点上部署 flannel 后，检查是否创建了 flannel 接口(名称可能为 flannel0、flannel.0、flannel.1 等)：

 

ssh dev-k8s-node2 "/usr/sbin/ip addr show flannel.1|grep -w inet"

       kubernetes 手动搭建      

 

在各节点上 ping 所有 flannel 接口 IP，确保能通：

 

ssh dev-k8s-node2 "ping -c 2 10.10.176.0"

       kubernetes 手动搭建      

 

 

07.部署高可用 kube-apiserver 集群

创建 kubernetes 证书和私钥

创建证书签名请求：

cd /opt/k8s/work
cat > kubernetes-csr.json <<EOF
{
 "CN": "kubernetes",
 "hosts": [
   "127.0.0.1",
   "172.19.201.244",
   "172.19.201.249",
   "172.19.201.248",
   "172.19.201.242",
   "kubernetes",
   "kubernetes.default",
   "kubernetes.default.svc",
   "kubernetes.default.svc.cluster",
   "kubernetes.default.svc.cluster.local."
 ],
 "key": {
   "algo": "rsa",
   "size": 2048
 },
 "names": [
   {
     "C": "CN",
     "ST": "BeiJing",
     "L": "BeiJing",
     "O": "k8s",
     "OU": "4Paradigm"
   }
 ]
}
EOF

 

kubernetes 服务 IP 是 apiserver 自动创建的，一般是 --service-cluster-ip-range 参数指定的网段的第一个IP，后续可以通过下面命令获取：

 

kubectl get svc kubernetes

       kubernetes 手动搭建      

 

 

生成证书和私钥：

cfssl gencert -ca=/opt/k8s/work/ca.pem \

 -ca-key=/opt/k8s/work/ca-key.pem \

 -config=/opt/k8s/work/ca-config.json \

 -profile=kubernetes kubernetes-csr.json | cfssljson -bare kubernetes

ls kubernetes*pem

 

将生成的证书和私钥文件拷贝到所有 master 节点：

 

cd /opt/k8s/work

mkdir -p /etc/kubernetes/cert

scp kubernetes*.pem root@dev-k8s-master1:/etc/kubernetes/cert/

 

 

创建加密配置文件

cd /opt/k8s/work
cat > encryption-config.yaml <<EOF
kind: EncryptionConfig
apiVersion: v1
resources:
 - resources:
     - secrets
   providers:
     - aescbc:
         keys:
           - name: key1
             secret: $(head -c 32 /dev/urandom | base64)
     - identity: {}
EOF

 

将加密配置文件拷贝到 master 节点的 /etc/kubernetes 目录下：

 

cd /opt/k8s/work

scp encryption-config.yaml root@dev-k8s-master1:/etc/kubernetes/

 

 

创建审计策略文件

cd /opt/k8s/work
cat > audit-policy.yaml <<EOF
apiVersion: audit.k8s.io/v1beta1
kind: Policy
rules:
 # The following requests were manually identified as high-volume and low-risk, so drop them.
 - level: None
   resources:
     - group: ""
       resources:
         - endpoints
         - services
         - services/status
   users:
     - 'system:kube-proxy'
   verbs:
     - watch
 
 - level: None
   resources:
     - group: ""
       resources:
         - nodes
         - nodes/status
   userGroups:
     - 'system:nodes'
   verbs:
     - get
 
 - level: None
   namespaces:
     - kube-system
   resources:
     - group: ""
       resources:
         - endpoints
   users:
     - 'system:kube-controller-manager'
     - 'system:kube-scheduler'
     - 'system:serviceaccount:kube-system:endpoint-controller'
   verbs:
     - get
     - update
 
 - level: None
   resources:
     - group: ""
       resources:
         - namespaces
         - namespaces/status
         - namespaces/finalize
   users:
     - 'system:apiserver'
   verbs:
     - get
 
 # Don't log HPA fetching metrics.
 - level: None
   resources:
     - group: metrics.k8s.io
   users:
     - 'system:kube-controller-manager'
   verbs:
     - get
     - list
 
 # Don't log these read-only URLs.
 - level: None
   nonResourceURLs:
     - '/healthz*'
     - /version
     - '/swagger*'
 
 # Don't log events requests.
 - level: None
   resources:
     - group: ""
       resources:
         - events
 
 # node and pod status calls from nodes are high-volume and can be large, don't log responses for expected updates from nodes
 - level: Request
   omitStages:
     - RequestReceived
   resources:
     - group: ""
       resources:
         - nodes/status
         - pods/status
   users:
     - kubelet
     - 'system:node-problem-detector'
     - 'system:serviceaccount:kube-system:node-problem-detector'
   verbs:
     - update
     - patch
 
 - level: Request
   omitStages:
     - RequestReceived
   resources:
     - group: ""
       resources:
         - nodes/status
         - pods/status
   userGroups:
     - 'system:nodes'
   verbs:
     - update
     - patch
 
 # deletecollection calls can be large, don't log responses for expected namespace deletions
 - level: Request
   omitStages:
     - RequestReceived
   users:
     - 'system:serviceaccount:kube-system:namespace-controller'
   verbs:
     - deletecollection
 
 # Secrets, ConfigMaps, and TokenReviews can contain sensitive & binary data,
 # so only log at the Metadata level.
 - level: Metadata
   omitStages:
     - RequestReceived
   resources:
     - group: ""
       resources:
         - secrets
         - configmaps
     - group: authentication.k8s.io
       resources:
         - tokenreviews
 # Get repsonses can be large; skip them.
 - level: Request
   omitStages:
     - RequestReceived
   resources:
     - group: ""
     - group: admissionregistration.k8s.io
     - group: apiextensions.k8s.io
     - group: apiregistration.k8s.io
     - group: apps
     - group: authentication.k8s.io
     - group: authorization.k8s.io
     - group: autoscaling
     - group: batch
     - group: certificates.k8s.io
     - group: extensions
     - group: metrics.k8s.io
     - group: networking.k8s.io
     - group: policy
     - group: rbac.authorization.k8s.io
     - group: scheduling.k8s.io
     - group: settings.k8s.io
     - group: storage.k8s.io
   verbs:
     - get
     - list
     - watch
 
 # Default level for known APIs
 - level: RequestResponse
   omitStages:
     - RequestReceived
   resources:
     - group: ""
     - group: admissionregistration.k8s.io
     - group: apiextensions.k8s.io
     - group: apiregistration.k8s.io
     - group: apps
     - group: authentication.k8s.io
     - group: authorization.k8s.io
     - group: autoscaling
     - group: batch
     - group: certificates.k8s.io
     - group: extensions
     - group: metrics.k8s.io
     - group: networking.k8s.io
     - group: policy
     - group: rbac.authorization.k8s.io
     - group: scheduling.k8s.io
     - group: settings.k8s.io
     - group: storage.k8s.io
     
 # Default level for all other requests.
 - level: Metadata
   omitStages:
     - RequestReceived
EOF

 

分发审计策略文件：

 

cd /opt/k8s/work

scp audit-policy.yaml root@dev-k8s-master1:/etc/kubernetes/audit-policy.yaml

 

 

创建后续访问 metrics-server 使用的证书

创建证书签名请求:

cat > proxy-client-csr.json <<EOF
{
 "CN": "aggregator",
 "hosts": [],
 "key": {
   "algo": "rsa",
   "size": 2048
 },
 "names": [
   {
     "C": "CN",
     "ST": "BeiJing",
     "L": "BeiJing",
     "O": "k8s",
     "OU": "4Paradigm"
   }
 ]
}
EOF


 

 

 

生成证书和私钥：

 

cfssl gencert -ca=/etc/kubernetes/cert/ca.pem \

 -ca-key=/etc/kubernetes/cert/ca-key.pem  \

 -config=/etc/kubernetes/cert/ca-config.json  \

 -profile=kubernetes proxy-client-csr.json | cfssljson -bare proxy-client

 

ls proxy-client*.pem

将生成的证书和私钥文件拷贝到所有 master 节点：

 

scp proxy-client*.pem root@dev-k8s-master1:/etc/kubernetes/cert/

 

 

创建 kube-apiserver systemd unit 配置文件

cd /opt/k8s/work

vim /etc/systemd/system/kube-apiserver.service
[Unit]
Description=Kubernetes API Server
Documentation=https://github.com/GoogleCloudPlatform/kubernetes
After=network.target
 
[Service]
WorkingDirectory=/data/k8s/k8s/kube-apiserver
ExecStart=/opt/k8s/bin/kube-apiserver \
  --advertise-address=172.19.201.244 \
  --default-not-ready-toleration-seconds=360 \
  --default-unreachable-toleration-seconds=360 \
  --feature-gates=DynamicAuditing=true \
  --max-mutating-requests-inflight=2000 \
  --max-requests-inflight=4000 \
  --default-watch-cache-size=200 \
  --delete-collection-workers=2 \
  --encryption-provider-config=/etc/kubernetes/encryption-config.yaml \
  --etcd-cafile=/etc/kubernetes/cert/ca.pem \
  --etcd-certfile=/etc/kubernetes/cert/kubernetes.pem \
  --etcd-keyfile=/etc/kubernetes/cert/kubernetes-key.pem \
  --etcd-servers=https://172.19.201.244:2379,https://172.19.201.249:2379,https://172.19.201.248:2379 \
  --bind-address=172.19.201.244 \
  --secure-port=6443 \
  --tls-cert-file=/etc/kubernetes/cert/kubernetes.pem \
  --tls-private-key-file=/etc/kubernetes/cert/kubernetes-key.pem \
  --insecure-port=0 \
  --audit-dynamic-configuration \
  --audit-log-maxage=15 \
  --audit-log-maxbackup=3 \
  --audit-log-maxsize=100 \
  --audit-log-truncate-enabled \
  --audit-log-path=/data/k8s/k8s/kube-apiserver/audit.log \
  --audit-policy-file=/etc/kubernetes/audit-policy.yaml \
  --profiling \
  --anonymous-auth=false \
  --client-ca-file=/etc/kubernetes/cert/ca.pem \
  --enable-bootstrap-token-auth \
  --requestheader-allowed-names="aggregator" \
  --requestheader-client-ca-file=/etc/kubernetes/cert/ca.pem \
  --requestheader-extra-headers-prefix="X-Remote-Extra-" \
  --requestheader-group-headers=X-Remote-Group \
  --requestheader-username-headers=X-Remote-User \
  --service-account-key-file=/etc/kubernetes/cert/ca.pem \
  --authorization-mode=Node,RBAC \
  --runtime-config=api/all=true \
  --enable-admission-plugins=NodeRestriction \
  --allow-privileged=true \
  --apiserver-count=3 \
  --event-ttl=168h \
  --kubelet-certificate-authority=/etc/kubernetes/cert/ca.pem \
  --kubelet-client-certificate=/etc/kubernetes/cert/kubernetes.pem \
  --kubelet-client-key=/etc/kubernetes/cert/kubernetes-key.pem \
  --kubelet-https=true \
  --kubelet-timeout=10s \
  --proxy-client-cert-file=/etc/kubernetes/cert/proxy-client.pem \
  --proxy-client-key-file=/etc/kubernetes/cert/proxy-client-key.pem \
  --service-cluster-ip-range=10.254.0.0/16 \
  --service-node-port-range=30000-32767 \
  --logtostderr=true \
  --v=2
Restart=on-failure
RestartSec=10
Type=notify
LimitNOFILE=65536
 
[Install]
WantedBy=multi-user.target

 

 

 

 

启动 kube-apiserver 服务

启动服务前必须先创建工作目录；

mkdir -p /data/k8s/k8s/kube-apiserver

systemctl daemon-reload && systemctl enable kube-apiserver && systemctl restart kube-apiserver

 

打印 kube-apiserver 写入 etcd 的数据

ETCDCTL_API=3 etcdctl \

   --endpoints=https://172.19.201.244:2379,https://172.19.201.249:2379,https://172.19.201.248:2379 \

   --cacert=/opt/k8s/work/ca.pem \

   --cert=/opt/k8s/work/etcd.pem \

   --key=/opt/k8s/work/etcd-key.pem \

   get /registry/ --prefix --keys-only

 

检查集群信息

$ kubectl cluster-info

Kubernetes master is running at https://172.19.201.242:8443

To further debug and diagnose cluster problems, use 'kubectl cluster-info dump'.

 

$ kubectl get all --all-namespaces

NAMESPACE   NAME                 TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)   AGE

default     service/kubernetes   ClusterIP   10.254.0.1   <none>        443/TCP   12m

 

$ kubectl get componentstatuses

       kubernetes 手动搭建      

检查 kube-apiserver 监听的端口

sudo netstat -lnpt|grep kube

       kubernetes 手动搭建      

 

授予 kube-apiserver 访问 kubelet API 的权限

在执行 kubectl exec、run、logs 等命令时，apiserver 会将请求转发到 kubelet 的 https 端口。这里定义 RBAC 规则，授权 apiserver 使用的证书（kubernetes.pem）用户名（CN：kuberntes）访问 kubelet API 的权限：

kubectl create clusterrolebinding kube-apiserver:kubelet-apis --clusterrole=system:kubelet-api-admin --user kubernetes

       kubernetes 手动搭建      

 

 

 

08.部署高可用 kube-controller-manager 集群

创建 kube-controller-manager 证书和私钥

创建证书签名请求：

cd /opt/k8s/work
cat > kube-controller-manager-csr.json <<EOF
{
   "CN": "system:kube-controller-manager",
   "key": {
       "algo": "rsa",
       "size": 2048
   },
   "hosts": [
     "127.0.0.1",
     "172.19.201.244",
     "172.19.201.249",
"172.19.201.248",
     "172.19.201.242"
   ],
   "names": [
     {
       "C": "CN",
       "ST": "BeiJing",
       "L": "BeiJing",
       "O": "system:kube-controller-manager",
       "OU": "4Paradigm"
     }
   ]
}
EOF

 

生成证书和私钥：

cd /opt/k8s/work

cfssl gencert -ca=/opt/k8s/work/ca.pem \

 -ca-key=/opt/k8s/work/ca-key.pem \

 -config=/opt/k8s/work/ca-config.json \

 -profile=kubernetes kube-controller-manager-csr.json | cfssljson -bare kube-controller-manager

 

ls kube-controller-manager*pem

将生成的证书和私钥分发到所有 master 节点：

 

cd /opt/k8s/work

scp kube-controller-manager*.pem root@dev-k8s-master1:/etc/kubernetes/cert/

 

 

创建和分发 kubeconfig 文件

kube-controller-manager 使用 kubeconfig 文件访问 apiserver，该文件提供了 apiserver 地址、嵌入的 CA 证书和 kube-controller-manager 证书：

 

cd /opt/k8s/work

kubectl config set-cluster kubernetes \

 --certificate-authority=/opt/k8s/work/ca.pem \

 --embed-certs=true \

 --server=https://172.19.201.242:8443 \

 --kubeconfig=kube-controller-manager.kubeconfig

 

kubectl config set-credentials system:kube-controller-manager \

 --client-certificate=kube-controller-manager.pem \

 --client-key=kube-controller-manager-key.pem \

 --embed-certs=true \

 --kubeconfig=kube-controller-manager.kubeconfig

 

kubectl config set-context system:kube-controller-manager \

 --cluster=kubernetes \

 --user=system:kube-controller-manager \

 --kubeconfig=kube-controller-manager.kubeconfig

 

kubectl config use-context system:kube-controller-manager --kubeconfig=kube-controller-manager.kubeconfig

 

分发 kubeconfig 到所有 master 节点：

 

cd /opt/k8s/work

scp kube-controller-manager.kubeconfig root@dev-k8s-master1:/etc/kubernetes/

创建 kube-controller-manager systemd unit 模板文件

cd /opt/k8s/work

cat /etc/systemd/system/kube-controller-manager.service
[Unit]
Description=Kubernetes Controller Manager
Documentation=https://github.com/GoogleCloudPlatform/kubernetes
 
[Service]
WorkingDirectory=/data/k8s/k8s/kube-controller-manager
ExecStart=/opt/k8s/bin/kube-controller-manager \
  --port=0 \
  --secure-port=10252 \
  --bind-address=127.0.0.1 \
  --kubeconfig=/etc/kubernetes/kube-controller-manager.kubeconfig \
  --authentication-kubeconfig=/etc/kubernetes/kube-controller-manager.kubeconfig \
  --authorization-kubeconfig=/etc/kubernetes/kube-controller-manager.kubeconfig \
  --service-cluster-ip-range=10.254.0.0/16 \
  --cluster-name=kubernetes \
  --cluster-signing-cert-file=/etc/kubernetes/cert/ca.pem \
  --cluster-signing-key-file=/etc/kubernetes/cert/ca-key.pem \
  --experimental-cluster-signing-duration=8760h \
  --root-ca-file=/etc/kubernetes/cert/ca.pem \
  --service-account-private-key-file=/etc/kubernetes/cert/ca-key.pem \
  --leader-elect=true \
  --controllers=*,bootstrapsigner,tokencleaner \
  --tls-cert-file=/etc/kubernetes/cert/kube-controller-manager.pem \
  --tls-private-key-file=/etc/kubernetes/cert/kube-controller-manager-key.pem \
  --use-service-account-credentials=true \
  --kube-api-qps=1000 \
  --kube-api-burst=2000 \
  --logtostderr=true \
  --v=2
Restart=on-failure
RestartSec=5
 
[Install]
WantedBy=multi-user.target

 

 

 

创建目录

mkdir -p /data/k8s/k8s/kube-controller-manager

 

启动服务

systemctl daemon-reload && systemctl enable kube-controller-manager && systemctl restart kube-controller-manager

 

kube-controller-manager 监听 10252 端口，接收 https 请求：

sudo netstat -lnpt | grep kube-cont

       kubernetes 手动搭建      

 

 

kube-controller-manager 赋予相应的权限

kubectl create clusterrolebinding controller-manager:system:auth-delegator --user system:kube-controller-manager --clusterrole system:auth-delegator

 

 

kubectl describe clusterrole system:kube-controller-manager

       kubernetes 手动搭建      

 

kubectl get clusterrole|grep controller

       kubernetes 手动搭建      

 

kubectl describe clusterrole system:controller:deployment-controller

       kubernetes 手动搭建      

 

查看当前的 leader

kubectl get endpoints kube-controller-manager --namespace=kube-system  -o yaml

       kubernetes 手动搭建      

 

 

09.部署高可用 kube-scheduler 集群

创建 kube-scheduler 证书和私钥

创建证书签名请求：

cd /opt/k8s/work
cat > kube-scheduler-csr.json <<EOF
{
   "CN": "system:kube-scheduler",
   "hosts": [
     "127.0.0.1",
     "172.19.201.244",
     "172.19.201.249",
      "172.19.201.248",
     "172.19.201.242"
   ],
   "key": {
       "algo": "rsa",
       "size": 2048
   },
   "names": [
     {
       "C": "CN",
       "ST": "BeiJing",
       "L": "BeiJing",
       "O": "system:kube-scheduler",
       "OU": "4Paradigm"
     }
   ]
}
EOF

 

生成证书和私钥：

cd /opt/k8s/work

 

cfssl gencert -ca=/opt/k8s/work/ca.pem \

 -ca-key=/opt/k8s/work/ca-key.pem \

 -config=/opt/k8s/work/ca-config.json \

 -profile=kubernetes kube-scheduler-csr.json | cfssljson -bare kube-scheduler

 

 

将生成的证书和私钥分发到所有 master 节点：

cd /opt/k8s/work

scp kube-scheduler*.pem root@dev-k8s-master1:/etc/kubernetes/cert/

 

 

创建和分发 kubeconfig 文件

kube-scheduler 使用 kubeconfig 文件访问 apiserver，该文件提供了 apiserver 地址、嵌入的 CA 证书和 kube-scheduler 证书：

 

cd /opt/k8s/work

kubectl config set-cluster kubernetes \

 --certificate-authority=/opt/k8s/work/ca.pem \

 --embed-certs=true \

 --server=https://172.19.201.242:8443 \

 --kubeconfig=kube-scheduler.kubeconfig

 

kubectl config set-credentials system:kube-scheduler \

 --client-certificate=kube-scheduler.pem \

 --client-key=kube-scheduler-key.pem \

 --embed-certs=true \

 --kubeconfig=kube-scheduler.kubeconfig

 

kubectl config set-context system:kube-scheduler \

 --cluster=kubernetes \

 --user=system:kube-scheduler \

 --kubeconfig=kube-scheduler.kubeconfig

 

kubectl config use-context system:kube-scheduler --kubeconfig=kube-scheduler.kubeconfig

 

分发 kubeconfig 到所有 master 节点：

cd /opt/k8s/work

scp kube-scheduler.kubeconfig root@dev-k8s-master1:/etc/kubernetes/

创建 kube-scheduler 配置文件

cd /opt/k8s/work
cat <<EOF | sudo tee kube-scheduler.yaml
apiVersion: kubescheduler.config.k8s.io/v1alpha1
kind: KubeSchedulerConfiguration
clientConnection:
 kubeconfig: "/etc/kubernetes/kube-scheduler.kubeconfig"
leaderElection:
 leaderElect: true
EOF

 

分发 kube-scheduler 配置文件到所有 master 节点：

scp kube-scheduler.yaml root@dev-k8s-master1:/etc/kubernetes/

 

 

 

创建 kube-scheduler systemd 文件

cat /etc/systemd/system/kube-scheduler.service
[Unit]
Description=Kubernetes Scheduler
Documentation=https://github.com/GoogleCloudPlatform/kubernetes
 
[Service]
WorkingDirectory=/data/k8s/k8s/kube-scheduler
ExecStart=/opt/k8s/bin/kube-scheduler \
  --config=/etc/kubernetes/kube-scheduler.yaml \
  --address=127.0.0.1 \
  --kube-api-qps=100 \
  --logtostderr=true \
  --v=2
Restart=always
RestartSec=5
StartLimitInterval=0
 
[Install]
WantedBy=multi-user.target

 

 

 

创建目录

mkdir -p /data/k8s/k8s/kube-scheduler

 

启动 kube-scheduler 服务

systemctl daemon-reload && systemctl enable kube-scheduler && systemctl restart kube-scheduler

 

检查服务运行状态

systemctl status kube-scheduler

 

查看输出的 metrics

sudo netstat -lnpt |grep kube-sch

       kubernetes 手动搭建      

 

curl -s --cacert /opt/k8s/work/ca.pem --cert /opt/k8s/work/admin.pem --key /opt/k8s/work/admin-key.pem https://172.19.201.244:10259/metrics |head

       kubernetes 手动搭建      

 

查看当前的 leader

$ kubectl get endpoints kube-scheduler --namespace=kube-system  -o yaml

       kubernetes 手动搭建      

 

 

10.部署 docker 组件

下载和分发 docker 二进制文件

到 docker 下载页面 下载最新发布包：

cd /opt/k8s/work

wget https://download.docker.com/linux/static/stable/x86_64/docker-18.09.6.tgz

tar -xvf docker-18.09.6.tgz

 

分发二进制文件到所有 worker 节点：

cd /opt/k8s/work

scp docker/*  root@dev-k8s-node1:/opt/k8s/bin/

ssh root@dev-k8s-node1 "chmod +x /opt/k8s/bin/*"

 

 

在work节点创建和分发 systemd unit 文件

cat /etc/systemd/system/docker.service
[Unit]
Description=Docker Application Container Engine
Documentation=http://docs.docker.io
 
[Service]
WorkingDirectory=/data/k8s/docker
Environment="PATH=/opt/k8s/bin:/bin:/sbin:/usr/bin:/usr/sbin"
EnvironmentFile=-/run/flannel/docker
ExecStart=/opt/k8s/bin/dockerd $DOCKER_NETWORK_OPTIONS
ExecReload=/bin/kill -s HUP $MAINPID
Restart=on-failure
RestartSec=5
LimitNOFILE=infinity
LimitNPROC=infinity
LimitCORE=infinity
Delegate=yes
KillMode=process
 
[Install]
WantedBy=multi-user.target

 

 

 

sudo iptables -P FORWARD ACCEPT

/sbin/iptables -P FORWARD ACCEPT

 

分发 systemd unit 文件到所有 worker 机器:

cd /opt/k8s/work

scp docker.service root@dev-k8s-node1:/etc/systemd/system/

 

配置和分发 docker 配置文件

使用国内的仓库镜像服务器以加快 pull image 的速度，同时增加下载的并发数 (需要重启 dockerd 生效)：

cd /opt/k8s/work

分发 docker 配置文件到所有 worker 节点：

mkdir -p  /etc/docker/ /data/k8s/docker/{data,exec}

cat /etc/docker/daemon.json
{
    "registry-mirrors": ["https://docker.mirrors.ustc.edu.cn","https://hub-mirror.c.163.com"],
    "insecure-registries": ["docker02:35000"],
    "max-concurrent-downloads": 20,
    "live-restore": true,
    "max-concurrent-uploads": 10,
    "debug": true,
    "data-root": "/data/k8s/docker/data",
    "exec-root": "/data/k8s/docker/exec",
    "log-opts": {
      "max-size": "100m",
      "max-file": "5"
    }
}

 

 

分发 docker 配置文件到所有 worker 节点：

mkdir -p  /etc/docker/ /data/k8s/docker/{data,exec}

scp docker-daemon.json root@dev-k8s-node1:/etc/docker/daemon.json

 

启动 docker 服务

systemctl daemon-reload && systemctl enable docker && systemctl restart docker

 

 

检查服务运行状态

systemctl status docker|grep active

 


 

配置docker的配置文件

vim /etc/docker/daemon.json
{
    "registry-mirrors": ["https://docker.mirrors.ustc.edu.cn","https://hub-mirror.c.163.com"],
    "insecure-registries": ["docker02:35000"],
    "max-concurrent-downloads": 20,
    "live-restore": true,
    "max-concurrent-uploads": 10,
    "debug": true,
    "data-root": "/data/k8s/docker/data",
    "exec-root": "/data/k8s/docker/exec",
    "log-opts": {
      "max-size": "100m",
      "max-file": "5"
    }
}

启动 docker 服务

systemctl daemon-reload && systemctl enable docker && systemctl restart docker

 

 

12.部署 kubelet 组件

创建 kubelet bootstrap kubeconfig 文件

cd /opt/k8s/work
vim /opt/k8s/bin/environment.sh
#!/bin/bash
KUBE_APISERVER="https://172.19.201.202:8443"
BOOTSTRAP_TOKEN="head -c 16 /dev/urandom | od -An -t x | tr -d ' '"
NODE_NAMES=(dev-k8s-node1 dev-k8s-node2 dev-k8s-node3)
 
 
source /opt/k8s/bin/environment.sh
for node_name in ${NODE_NAMES[@]}
 do
   echo ">>> ${node_name}"
 
   # 创建 token
   export BOOTSTRAP_TOKEN=$(kubeadm token create \
     --description kubelet-bootstrap-token \
     --groups system:bootstrappers:${node_name} \
     --kubeconfig ~/.kube/config)
 
   # 设置集群参数
   kubectl config set-cluster kubernetes \
     --certificate-authority=/etc/kubernetes/cert/ca.pem \
     --embed-certs=true \
     --server=${KUBE_APISERVER} \
     --kubeconfig=kubelet-bootstrap-${node_name}.kubeconfig
 
   # 设置客户端认证参数
   kubectl config set-credentials kubelet-bootstrap \
     --token=${BOOTSTRAP_TOKEN} \
     --kubeconfig=kubelet-bootstrap-${node_name}.kubeconfig
 
   # 设置上下文参数
   kubectl config set-context default \
     --cluster=kubernetes \
     --user=kubelet-bootstrap \
     --kubeconfig=kubelet-bootstrap-${node_name}.kubeconfig
 
   # 设置默认上下文
   kubectl config use-context default --kubeconfig=kubelet-bootstrap-${node_name}.kubeconfig
 done

 

证书中写入 Token 而非证书，证书后续由 kube-controller-manager 创建。

查看 kubeadm 为各节点创建的 token：

kubeadm token list --kubeconfig ~/.kube/config

       kubernetes 手动搭建      

 

分发 bootstrap kubeconfig 文件到所有 worker 节点

scp -pr kubelet-bootstrap-dev-k8s-master1.kubeconfig root@dev-k8s-master1:/etc/kubernetes/kubelet-bootstrap.kubeconfig

注：对应的文件名传到对应的主机上

创建和分发 kubelet 参数配置文件

cat > /etc/kubernetes/kubelet-config.yaml << EOF
kind: KubeletConfiguration
apiVersion: kubelet.config.k8s.io/v1beta1
authentication:
 anonymous:
   enabled: false
 webhook:
   enabled: true
 x509:
   clientCAFile: "/etc/kubernetes/cert/ca.pem"
authorization:
 mode: Webhook
clusterDomain: "cluster.local"
clusterDNS:
 - "10.254.0.2"
podCIDR: ""
maxPods: 220
serializeImagePulls: false
hairpinMode: promiscuous-bridge
cgroupDriver: cgroupfs
runtimeRequestTimeout: "15m"
rotateCertificates: true
serverTLSBootstrap: true
readOnlyPort: 0
port: 10250
address: "172.19.201.247"
EOF

 

 

为各节点创建和分发 kubelet 配置文件：（分发到work节点上）

scp -pr /etc/kubernetes/kubelet-config.yaml root@dev-k8s-master2:/etc/kubernetes/

 

创建和分发 kubelet systemd unit 文件

cat  /etc/systemd/system/kubelet.service 

[Unit]
Description=Kubernetes Kubelet
Documentation=https://github.com/GoogleCloudPlatform/kubernetes
After=docker.service
Requires=docker.service
 
[Service]
WorkingDirectory=/data/k8s/k8s/kubelet
ExecStart=/opt/k8s/bin/kubelet \
 --root-dir=/data/k8s/k8s/kubelet \
 --bootstrap-kubeconfig=/etc/kubernetes/kubelet-bootstrap.kubeconfig \
 --cert-dir=/etc/kubernetes/cert \
 --kubeconfig=/etc/kubernetes/kubelet.kubeconfig \
 --config=/etc/kubernetes/kubelet-config.yaml \
 --hostname-override=dev-k8s-node1 \
 --pod-infra-container-image=registry.cn-beijing.aliyuncs.com/k8s_images/pause-amd64:3.1 \
 --allow-privileged=true \
 --event-qps=0 \
 --kube-api-qps=1000 \
 --kube-api-burst=2000 \
 --registry-qps=0 \
 --image-pull-progress-deadline=30m \
 --logtostderr=true \
 --v=2
Restart=always
RestartSec=5
StartLimitInterval=0
 
[Install]
WantedBy=multi-user.target

 

 

为各节点创建和分发 kubelet systemd unit 文件：

scp -pr /etc/systemd/system/kubelet.service root@dev-k8s-node1:/etc/systemd/system/

 

Bootstrap Token Auth 和授予权限：

kubectl create clusterrolebinding kubelet-bootstrap --clusterrole=system:node-bootstrapper --group=system:bootstrappers

 

创建工作路径

mkdir -p /data/k8s/k8s/kubelet

 

关闭swapoff, 否则 kubelet 会启动失败

/usr/sbin/swapoff -a

 

启动 kubelet 服务

systemctl daemon-reload  && systemctl restart kubelet && systemctl enable kubelet

 

检测服务其否启动

systemctl status kubelet |grep active

 

自动 approve CSR 请求

创建三个 ClusterRoleBinding，分别用于自动 approve client、renew client、renew server 证书：

cd /opt/k8s/work

cat > csr-crb.yaml <<EOF
# Approve all CSRs for the group "system:bootstrappers"
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: auto-approve-csrs-for-group
subjects:
- kind: Group
  name: system:bootstrappers
  apiGroup: rbac.authorization.k8s.io
roleRef:
  kind: ClusterRole
  name: system:certificates.k8s.io:certificatesigningrequests:nodeclient
  apiGroup: rbac.authorization.k8s.io
---
# To let a node of the group "system:nodes" renew its own credentials
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: node-client-cert-renewal
subjects:
- kind: Group
  name: system:nodes
  apiGroup: rbac.authorization.k8s.io
roleRef:
  kind: ClusterRole
  name: system:certificates.k8s.io:certificatesigningrequests:selfnodeclient
  apiGroup: rbac.authorization.k8s.io
---
# A ClusterRole which instructs the CSR approver to approve a node requesting a
# serving cert matching its client cert.
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
 name: approve-node-server-renewal-csr
rules:
- apiGroups: ["certificates.k8s.io"]
 resources: ["certificatesigningrequests/selfnodeserver"]
 verbs: ["create"]
---
# To let a node of the group "system:nodes" renew its own server credentials
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: node-server-cert-renewal
subjects:
- kind: Group
  name: system:nodes
  apiGroup: rbac.authorization.k8s.io
roleRef:
  kind: ClusterRole
  name: approve-node-server-renewal-csr
  apiGroup: rbac.authorization.k8s.io
EOF

 

生效配置：

kubectl apply -f csr-crb.yaml

 

查看 kublet 的情况

等待一段时间(1-10 分钟)，三个节点的 CSR 都被自动 approved：

手动 approve server cert csr

基于安全性考虑，CSR approving controllers 默认不会自动 approve kubelet server 证书签名请求，需要手动 approve。

kubectl get csr

       kubernetes 手动搭建      

kubectl certificate approve csr-bjtp4  

 

13.部署kube-proxy 组件

kube-proxy 运行在所有 worker 节点上，，它监听 apiserver 中 service 和 Endpoint 的变化情况，创建路由规则来进行服务负载均衡。

 

创建 kube-proxy 证书

创建证书签名请求：

cd /opt/k8s/work

cat > kube-proxy-csr.json <<EOF
{
 "CN": "system:kube-proxy",
 "key": {
   "algo": "rsa",
   "size": 2048
 },
 "names": [
   {
     "C": "CN",
     "ST": "BeiJing",
     "L": "BeiJing",
     "O": "k8s",
     "OU": "4Paradigm"
   }
 ]
}
EOF

 

 

生成证书和私钥：

cfssl gencert -ca=/opt/k8s/work/ca.pem \

 -ca-key=/opt/k8s/work/ca-key.pem \

 -config=/opt/k8s/work/ca-config.json \

 -profile=kubernetes  kube-proxy-csr.json | cfssljson -bare kube-proxy

 

 

创建和分发 kubeconfig 文件

kubectl config set-cluster kubernetes \

 --certificate-authority=/opt/k8s/work/ca.pem \

 --embed-certs=true \

 --server=https://172.19.201242:8443 \

 --kubeconfig=kube-proxy.kubeconfig

 

kubectl config set-credentials kube-proxy \

 --client-certificate=kube-proxy.pem \

 --client-key=kube-proxy-key.pem \

 --embed-certs=true \

 --kubeconfig=kube-proxy.kubeconfig

 

kubectl config set-context default \

 --cluster=kubernetes \

 --user=kube-proxy \

 --kubeconfig=kube-proxy.kubeconfig

 

kubectl config use-context default --kubeconfig=kube-proxy.kubeconfig

 

分发 kubeconfig 文件：（拷贝到work工作节点）

scp kube-proxy.kubeconfig root@master1:/etc/kubernetes/        

 

 

创建 kube-proxy 配置文件

cat >  /etc/kubernetes/kube-proxy-config.yaml <<EOF
kind: KubeProxyConfiguration
apiVersion: kubeproxy.config.k8s.io/v1alpha1
clientConnection:
  kubeconfig: "/etc/kubernetes/kube-proxy.kubeconfig"
bindAddress: 172.19.201.247
clusterCIDR: 10.10.0.0/16
healthzBindAddress: 172.19.201.247:10256
hostnameOverride: dev-k8s-node1
metricsBindAddress: 172.19.201.247:10249
mode: "ipvs"
EOF

 

注：修改各个节点上的配置文件，写上对应的主机名

 

为各节点创建和分发 kube-proxy 配置文件：（拷贝到所有工作节点）

scp -pr /etc/kubernetes/kube-proxy-config.yaml root@dev-k8s-node1: /etc/kubernetes/

   

 

创建和分发 kube-proxy systemd unit 文件

cat  /etc/systemd/system/kube-proxy.service
[Unit]
Description=Kubernetes Kube-Proxy Server
Documentation=https://github.com/GoogleCloudPlatform/kubernetes
After=network.target
 
[Service]
WorkingDirectory=/data/k8s/k8s/kube-proxy
ExecStart=/opt/k8s/bin/kube-proxy \
  --config=/etc/kubernetes/kube-proxy-config.yaml \
  --logtostderr=true \
  --v=2
Restart=on-failure
RestartSec=5
LimitNOFILE=65536
 
[Install]
WantedBy=multi-user.target

 

必须先创建工作目录

mkdir -p /data/k8s/k8s/kube-proxy

 

启动kube-proxy服务

systemctl daemon-reload && systemctl enable kube-proxy && systemctl restart kube-proxy

 

检查启动结果，确保状态为 active (running)

systemctl status kube-proxy|grep active

 

查看监听端口和 metrics

netstat -lnpt|grep kube-proxy

 

14.部署coredns插件

修改配置文件

将下载的 kubernetes-server-linux-amd64.tar.gz 解压后，再解压其中的 kubernetes-src.tar.gz 文件。

cd /opt/k8s/work/kubernetes/

tar -xzvf kubernetes-src.tar.gz

 

coredns 目录是 cluster/addons/dns：

cd /opt/k8s/work/kubernetes/cluster/addons/dns/coredns

cp coredns.yaml.base coredns.yaml

source /opt/k8s/bin/environment.sh

sed -i -e "s/__PILLAR__DNS__DOMAIN__/${CLUSTER_DNS_DOMAIN}/" -e "s/__PILLAR__DNS__SERVER__/${CLUSTER_DNS_SVC_IP}/" coredns.yaml

创建 coredns

kubectl create -f coredns.yaml

检查 coredns 功能

[root@dev-k8s-master1 test]# kubectl get pods  -n kube-system

NAME                                    READY   STATUS    RESTARTS   AGE

coredns-6dcf4d5b7b-tvn26                1/1     Running   5          17h

 

15.部署 ingress 插件

下载源码包

wget https://github.com/kubernetes/ingress-nginx/archive/nginx-0.20.0.tar.gz

tar -zxvf nginx-0.20.0.tar.gz

 

进入工作路径

cd ingress-nginx-nginx-0.20.0/deploy

创建 ingress

kubectl create -f mandatory.yaml

 

cd /opt/k8s/work/ingress-nginx-nginx-0.20.0/deploy/provider/baremetal

创建 ingress service

kubectl create -f service-nodeport.yaml

检验ingress-nginx是否启动

kubectl get pods -n ingress-nginx

 

       kubernetes 手动搭建      

 

16.部署dashboard 插件

修改配置文件

cd /opt/k8s/work/kubernetes/cluster/addons/dashboard

 

修改 service 定义，指定端口类型为 NodePort，这样外界可以通过地址 NodeIP:NodePort 访问 dashboard；

 

cat dashboard-service.yaml

apiVersion: v1
kind: Service
metadata:
 name: kubernetes-dashboard
 namespace: kube-system
 labels:
   k8s-app: kubernetes-dashboard
   kubernetes.io/cluster-service: "true"
   addonmanager.kubernetes.io/mode: Reconcile
spec:
 type: NodePort # 增加这一行
 selector:
   k8s-app: kubernetes-dashboard
 ports:
 - port: 443
   targetPort: 8443

 

执行所有定义文件

$ ls *.yaml

dashboard-configmap.yaml  dashboard-controller.yaml  dashboard-rbac.yaml  dashboard-secret.yaml  dashboard-service.yaml

 

$ kubectl apply -f  .

 

查看分配的 NodePort

$ kubectl get deployment kubernetes-dashboard  -n kube-system

       kubernetes 手动搭建      

 

创建登录 Dashboard 的 token 和 kubeconfig 配置文件

dashboard 默认只支持 token 认证（不支持 client 证书认证），所以如果使用 Kubeconfig 文件，需要将 token 写入到该文件。

 

创建登录 token

kubectl create sa dashboard-admin -n kube-system

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

ADMIN_SECRET=$(kubectl get secrets -n kube-system | grep dashboard-admin | awk '{print $1}')

DASHBOARD_LOGIN_TOKEN=$(kubectl describe secret -n kube-system ${ADMIN_SECRET} | grep -E '^token' | awk '{print $2}')

echo ${DASHBOARD_LOGIN_TOKEN}

使用输出的 token 登录 Dashboard。

 

创建使用 token 的 KubeConfig 文件

kubectl config set-cluster kubernetes \

 --certificate-authority=/etc/kubernetes/cert/ca.pem \

 --embed-certs=true \

 --server=https://172.19.201.202:8443 \

 --kubeconfig=dashboard.kubeconfig

 

# 设置客户端认证参数，使用上面创建的 Token

kubectl config set-credentials dashboard_user \

 --token=${DASHBOARD_LOGIN_TOKEN} \

 --kubeconfig=dashboard.kubeconfig

 

# 设置上下文参数

kubectl config set-context default \

 --cluster=kubernetes \

 --user=dashboard_user \

 --kubeconfig=dashboard.kubeconfig

 

# 设置默认上下文

kubectl config use-context default --kubeconfig=dashboard.kubeconfig

用生成的 dashboard.kubeconfig 登录 Dashboard。

 

 

       kubernetes 手动搭建      

 

             

 

 

 

17.错误排查

当k8s新增加节点时， 新添加的node，创建pods 分配不了ip，报错如下：

Warning  FailedCreatePodSandBox  72s (x26 over 6m40s)  kubelet, dev-k8s-master2  Failed create pod sandbox: rpc error: code = Unknown desc = failed pulling image "registr

y.cn-beijing.aliyuncs.com/k8s_images/pause-amd64:3.1": Error response from daemon: pull access denied for registry.cn-beijing.aliyuncs.com/k8s_images/pause-amd64, repository does not exist or may require 'docker login'

 

解决方法：

在node节点操作：

docker pull lc13579443/pause-amd64

docker tag lc13579443/pause-amd64 registry.cn-beijing.aliyuncs.com/k8s_images/pause-amd64:3.1

重启kubelet

systemctl daemon-reload && systemctl restart kubelet

 

 


 

 

 

 

 

 

 

 

 


推荐阅读：
  1. 搭建Kubernetes，基于Kubeadm
  2. 如何在Kubernetes中搭建Elasticsearch集群

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