二进制部署多Master高可用K8S集群-v1.18（三）

七、部署work节点

kubernetes worker 节点运行如下组件

docker
kubelet
kube-proxy
calico
kube-nginx

注意：

k8s-master1实现与其他work节点免密认证
特别说明：本章节部署的组件是在所有节点都进行部署，包括master和worker节点
如果未注明，则所有操作在k8s-master1节点进行远程操作集群中的work节点

1、安装依赖包

所有节点安装对应依赖包，所有操作均在k8s-master1节点操作

[root@k8s-master1 ~]# for node_ip in ${NODE_IPS[@]}
  do
    echo ">>> ${node_ip}"
    ssh root@${node_ip} "yum install -y epel-release"
    ssh root@${node_ip} "yum install -y chrony conntrack ipvsadm ipset jq iptables curl sysstat libseccomp wget socat git"
  done

2、部署docker

2.1、下载和分发 Docker 二进制文件

2.1.1：下载程序包

[root@k8s-master1 ~]# cd /opt/k8s/work/
[root@k8s-master1 work]# wget https://download.docker.com/linux/static/stable/x86_64/docker-19.03.9.tgz
[root@k8s-master1 work]# tar -xzvf docker-19.03.9.tgz

2.1.2文章来源(Source)：https://www.dqzboy.com：分发程序包

将程序包分发给各个所有节点

[root@k8s-master1 work]# for node_ip in ${NODE_IPS[@]}
  do
    echo ">>> ${node_ip}"
    scp docker/*  root@${node_ip}:/opt/k8s/bin/
    ssh root@${node_ip} "chmod +x /opt/k8s/bin/*"
  done

3.2、创建和分发 systemd unit 文件

3.2.1：创建systemd unit 文件

[root@k8s-master1 work]# cat > docker.service <<"EOF"
[Unit]
Description=Docker Application Container Engine
Documentation=http://docs.docker.io
 
[Service]
WorkingDirectory=##DOCKER_DIR##
Environment="PATH=/opt/k8s/bin:/bin:/sbin:/usr/bin:/usr/sbin"
ExecStart=/opt/k8s/bin/dockerd
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
EOF

更改IPTABLES防火墙策略

[root@k8s-master1 work]# for i in 192.168.66.{65..67}; do echo ">>> $i";ssh root@$i "iptables -P FORWARD ACCEPT"; done

[root@k8s-master1 work]# for i in 192.168.66.{65..67}; do echo ">>> $i";ssh root@$i "echo '/sbin/iptables -P FORWARD ACCEPT' >> /etc/rc.local"; done

3.2.2：分发 systemd unit 文件到所有 worker 机器

[root@k8s-master1 work]# sed -i -e "s|##DOCKER_DIR##|${DOCKER_DIR}|" docker.service

[root@k8s-master1 work]# for node_ip in ${NODE_IPS[@]}
  do
    echo ">>> ${node_ip}"
    scp docker.service root@${node_ip}:/etc/systemd/system/
  done

3.3：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)

3.3.1：配置docker加速

由于网络环境原因。默认去下载官方的docker hub会下载失败所以使用阿里云的docker加速器
登入自己的阿里云生成docker.json，阿里文章来源(Source)：浅时光博客云镜像地址

[root@k8s-master1 work]# cat > docker-daemon.json <<EOF
{
    "registry-mirrors": ["https://a7ye1cuu.mirror.aliyuncs.com","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": "${DOCKER_DIR}/data",
    "exec-root": "${DOCKER_DIR}/exec",
    "log-opts": {
      "max-size": "100m",
      "max-file": "5"
    }
}
EOF

3.3.2：分发至work节点

[root@k8s-master1 work]# for node_ip in ${NODE_IPS[@]}
  do
    echo ">>> ${node_ip}"
    ssh root@${node_ip} "mkdir -p  /etc/docker/ ${DOCKER_DIR}/{data,exec}"
    scp docker-daemon.json root@${node_ip}:/etc/docker/daemon.json
  done

3.4：启动 docker 服务

[root@k8s-master1 work]# for node_ip in ${NODE_IPS[@]}
  do
    echo ">>> ${node_ip}"
    ssh root@${node_ip} "systemctl daemon-reload && systemctl enable docker && systemctl restart docker"
  done

3.5：检查服务运行状态

[root@k8s-master1 work]# for node_ip in ${NODE_IPS[@]}
  do
    echo ">>> ${node_ip}"
    ssh root@${node_ip} "systemctl status docker|grep Active"
  done

3.6：检查 docker0 网桥

[root@k8s-master1 work]# for node_ip in ${NODE_IPS[@]}
  do
    echo ">>> ${node_ip}"
    ssh root@${node_ip} "/usr/sbin/ip addr show docker0"
  done

4、部署 kubelet 组件

4.1、创建 kubelet bootstrap kubeconfig 文件

4.1.1：创建文件

[root@k8s-master1 ~]# cd /opt/k8s/work
[root@k8s-master1 work]# 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

4.1.2：查看 kubeadm 为各节点创建的 token

[root@k8s-node1 work]# kubeadm token list --kubeconfig ~/.kube/config

4.1.3：查看各 token 关联的 Secret

[root@k8s-master1 work]# kubectl get secrets  -n kube-system|grep bootstrap-token

4.2、分发 bootstrap kubeconfig 文件到所有 worker 节点

[root@k8s-master1 work]# for node_name in ${NODE_NAMES[@]}
  do
    echo ">>> ${node_name}"
    scp kubelet-bootstrap-${node_name}.kubeconfig root@${node_name}:/etc/kubernetes/kubelet-bootstrap.kubeconfig
  done

4.3、创建和分发 kubelet 参数配置文件

4.3.1：创建 kubelet 参数配置模板文件

注意：需要 root 账户运行

[root@k8s-master1 work]# cat <<EOF | tee kubelet-config.yaml.template
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: "${CLUSTER_DNS_DOMAIN}"
clusterDNS:
  - "${CLUSTER_DNS_SVC_IP}"
podCIDR: "${CLUSTER_CIDR}"
maxPods: 220
serializeImagePulls: false
hairpinMode: promiscuous-bridge
cgroupDriver: cgroupfs
runtimeRequestTimeout: "15m"
rotateCertificates: true
serverTLSBootstrap: true
readOnlyPort: 0
port: 10250
address: "##NODE_IP##"
EOF

4.3.2：为各节点创建和分发 kubelet 配置文件

[root@k8s-master1 work]# for node_ip in ${NODE_IPS[@]}
  do 
    echo ">>> ${node_ip}"
    sed -e "s/##NODE_IP##/${node_ip}/" kubelet-config.yaml.template > kubelet-config-${node_ip}.yaml.template
    scp kubelet-config-${node_ip}.yaml.template root@${node_ip}:/etc/kubernetes/kubelet-config.yaml
  done

4.4、创建和分发 kubelet systemd unit 文件

4.4.1：创建 kubelet systemd unit 文件模板

[root@k8s-master1 work]# cat > kubelet.service.template <<EOF
[Unit]
Description=Kubernetes Kubelet
Documentation=https://github.com/GoogleCloudPlatform/kubernetes
After=docker.service
Requires=docker.service
 
[Service]
WorkingDirectory=${K8S_DIR}/kubelet
ExecStart=/opt/k8s/bin/kubelet \\
  --bootstrap-kubeconfig=/etc/kubernetes/kubelet-bootstrap.kubeconfig \\
  --cert-dir=/etc/kubernetes/cert \\
  --network-plugin=cni \\
  --cni-conf-dir=/etc/cni/net.d \\
  --cni-bin-dir=/opt/k8s/bin \\
  --root-dir=${K8S_DIR}/kubelet \\
  --kubeconfig=/etc/kubernetes/kubelet.kubeconfig \\
  --config=/etc/kubernetes/kubelet-config.yaml \\
  --hostname-override=##NODE_NAME## \\
  --pod-infra-container-image=registry.cn-hangzhou.aliyuncs.com/hu279318344/pause-amd64:3.1 \\
  --image-pull-progress-deadline=15m \\
  --volume-plugin-dir=${K8S_DIR}/kubelet/kubelet-plugins/volume/exec/ \\
  --logtostderr=true \\
  --v=2
Restart=always
RestartSec=5
StartLimitInterval=0

[Install]
WantedBy=multi-user.target
EOF

4.4.2：为各节点创建和分发 kubelet systemd unit 文件

[root@k8s-master1 work]# for node_name in ${NODE_NAMES[@]}
  do 
    echo ">>> ${node_name}"
    sed -e "s/##NODE_NAME##/${node_name}/" kubelet.service.template > kubelet-${node_name}.service
    scp kubelet-${node_name}.service root@${node_name}:/etc/systemd/system/kubelet.service
  done

4.5、授予 kube-apiserver 访问 kubelet API 的权限

[root@k8s-master1 work]# kubectl create clusterrolebinding kube-apiserver:kubelet-apis --clusterrole=system:kubelet-api-admin --user kubernetes-master

clusterrolebinding.rbac.authorization.k8s.io/kube-apiserver:kubelet-apis created

4.6、Bootstrap Token Auth 和授予权限

[root@k8s-master1 work]# kubectl create clusterrolebinding kubelet-bootstrap --clusterrole=system:node-bootstrapper --group=system:bootstrappers

clusterrolebinding.rbac.authorization.k8s.io/kubelet-bootstrap created

4.7、自动 approve CSR 请求，生成 kubelet client 证书

[root@k8s-master1 ~]# cd /opt/k8s/work
[root@k8s-master1 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

[root@k8s-master1 work]# kubectl apply -f csr-crb.yaml

4.8、启动 kubelet 服务

[root@k8s-master1 work]# for node_ip in ${NODE_IPS[@]}
  do
    echo ">>> ${node_ip}"
    ssh root@${node_ip} "mkdir -p ${K8S_DIR}/kubelet"
    ssh root@${node_ip} "/usr/sbin/swapoff -a"
    ssh root@${node_ip} "systemctl daemon-reload && systemctl enable kubelet && systemctl restart kubelet"
  done

4.9、查看kubelet情况

稍等一会，三个节点的 CSR 都被自动 approved
Pending 的 CSR 用于创建 kubelet server 证书

[root@k8s-master1 work]# kubectl get csr

所有节点均注册（Ready 状态是预期的，现在查看状态显示为NotReady为正常想象，因为没有部署网络插件，后续安装了网络插件后就好）

[root@k8s-master1 work]# kubectl get node
NAME          STATUS         ROLES    AGE   VERSION
k8s-node1   NotReady    <none>   18h   v1.18.6
k8s-node2   NotReady    <none>   18h   v1.18.6
k8s-node3   NotReady    <none>   18h   v1.18.6

kube-controller-manage文章来源(Source)：浅时光博客r 为各 node 生成了 kubeconfig 文件和公私钥
注意在node节点执行以下命令查看

ls -l /etc/kubernetes/kubelet.kubeconfig
ls -l /etc/kubernetes/cert/kubelet-client-*

可以看到没有自动生成 kubelet server 证书文件

4.10、手动 approve server cert csr

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

[root@k8s-master1 ~]# kubectl get csr

手动approve

[root@k8s-master1 ~]# kubectl get csr | grep Pending | awk '{print $1}' | xargs kubectl certificate approve

在node节点查看，自动生成了server证书

ls -l /etc/kubernetes/cert/kubelet-*

4.11、kubelet api 认证和授权

[root@k8s-master1 ~]# curl -s --cacert /etc/kubernetes/cert/ca.pem https://192.168.66.65:10250/metrics
Unauthorized

[root@k8s-master1 ~]# curl -s --cacert /etc/kubernetes/cert/ca.pem https://192.168.66.66:10250/metrics
Unauthorized

[root@k8s-master1 ~]# curl -s --cacert /etc/kubernetes/cert/ca.pem https://192.168.66.67:10250/metrics
Unauthorized

[root@k8s-master1 ~]# curl -s --cacert /etc/kubernetes/cert/ca.pem -H "Authorization: Bearer 123456" https://192.168.66.65:10250/metrics
Unauthorized

4.12、证书认证和授权

权限不足的证书

[root@k8s-master1 ~]# curl -s --cacert /etc/kubernetes/cert/ca.pem --cert /etc/kubernetes/cert/kube-controller-manager.pem --key /etc/kubernetes/cert/kube-controller-manager-key.pem https://192.168.66.65:10250/metrics

Forbidden (user=system:kube-controller-manager, verb=get, resource=nodes, subresource=metrics)

使用部署 kubectl 命令行工具时创建的、具有最高权限的 admin 证书；

[root@k8s-master1 ~]# curl -s --cacert /etc/kubernetes/cert/ca.pem --cert /opt/k8s/work/admin.pem --key /opt/k8s/work/admin-key.pem https://192.168.66.65:10250/metrics|head

4.13、bear token 认证和授权

创建一个 ServiceAccount，将它和 ClusterRole system:kubelet-api-admin 绑定，从而具有调用 kubelet API 的权限；

[root@k8s-master1 ~]# kubectl create sa kubelet-api-test

serviceaccount/kubelet-api-test created

[root@k8s-master1 ~]# kubectl create clusterrolebinding kubelet-api-test --clusterrole=system:kubelet-api-admin --serviceaccount=default:kubelet-api-test

clusterrolebinding.rbac.authorization.k8s.io/kubelet-api-test created

[root@k8s-master1 ~]# SECRET=$(kubectl get secrets | grep kubelet-api-test | awk '{print $1}')
[root@k8s-master1 ~]# TOKEN=$(kubectl describe secret ${SECRET} | grep -E '^token' | awk '{print $2}')
[root@k8s-master1 ~]# echo ${TOKEN}

[root@k8s-master1 ~]# curl -s --cacert /etc/kubernetes/cert/ca.pem -H "Authorization: Bearer ${TOKEN}" https://192.168.66.65:10250/metrics |head

# HELP apiserver_audit_event_total [ALPHA] Counter of audit events generated and sent to the audit backend.
# TYPE apiserver_audit_event_total counter
apiserver_audit_event_total 0
# HELP apiserver_audit_requests_rejected_total [ALPHA] Counter of apiserver requests rejected due to an error in audit logging backend.
# TYPE apiserver_audit_requests_rejected_total counter
apiserver_audit_requests_rejected_total 0
# HELP apiserver_client_certificate_expiration_seconds [ALPHA] Distribution of the remaining lifetime on the certificate used to authenticate a request.
# TYPE apiserver_client_certificate_expiration_seconds histogram
apiserver_client_certificate_expiration_seconds_bucket{le="0"} 0
apiserver_client_certificate_expiration_seconds_bucket{le="1800"} 0

4.14：cadvisor 和 metrics

cadvisor 是内嵌在 kubelet 二进制中的，统计所在节点各容器的资源(CPU、内存、磁盘、网卡)使用情况的服务。
浏览器访问 https://192.168.66.65:10250/metrics和 https://192.168.66.65:10250/metrics/cadvisor 分别返回 kubelet 和 cadvisor 的 metrics。原文链接：https://www.dqzboy.com

注意：

kubelet.config.json 文章来源(Source)：https://www.dqzboy.com设置 authentication.anonymous.enabled 为 false，不允许匿名证书访问 10250 的 https 服务；
创建和导入相关证书，然后访问上面的 10250 端口；

4.14.1：导入根证书

将根证书 ca.pem 从服务器中(/opt/k8s/work)导出道自己的PC电脑中，然后再导入到操作系统，并设置永久信任

[root@k8s-master1 ~]# cd /opt/k8s/work/
[root@k8s-master1 work]# ls ca*
ca-config.json  ca.csr  ca-csr.json  ca-key.pem  ca.pem
[root@k8s-master1 work]# sz ca.pem

已经被信任但是，连接提示未授权401提示

4.14.2：创建浏览器证书

这里使用kubectl 命令行工具时创建的 admin 证书、私钥和上面的 ca 证书，创建一个浏览器可以使用 PKCS#12/PFX 格式的证书：

[root@k8s-master1 ~]# cd /opt/k8s/work/
[root@k8s-master1 work]# openssl pkcs12 -export -out admin.pfx -inkey admin-key.pem -in admin.pem -certfile ca.pem
Enter Export Password:	#设置密码
Verifying - Enter Export Password:

将创建的 admin.pfx 导入到系统的证书中

重启浏览器，再次访问，这里选中上面导入的 admin.pfx

https://192.168.66.65:10250/metrics

https://192.168.66.65:10250/metrics/cadvisor

5、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，创建路由规则以提供服务 IP 和负载均衡功能。
以下操作没有特殊说明，则全部在k8s-master1节点通过远程调用进行操作

5.1：创建 kube-proxy 证书

5.1.2：创建证书签名请求

[root@k8s-master1 ~]# cd /opt/k8s/work
[root@k8s-master1 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": "dqz"
    }
  ]
}
EOF

5.1.3：生成证书和私钥

[root@k8s-master1 ~]# cd /opt/k8s/work
[root@k8s-master1 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-proxy-csr.json | cfssljson -bare kube-proxy

[root@k8s-master1 work]# ls kube-proxy*
kube-proxy.csr  kube-proxy-csr.json  kube-proxy-key.pem  kube-proxy.pem

5.2：创建和分发 kubeconfig 文件

5.2.1：创建kubeconfig文件

[root@k8s-master1 work]# kubectl config set-cluster kubernetes \
  --certificate-authority=/opt/k8s/work/ca.pem \
  --embed-certs=true \
  --server=${KUBE_APISERVER} \
  --kubeconfig=kube-proxy.kubeconfig

[root@k8s-master1 work]# kubectl config set-credentials kube-proxy \
  --client-certificate=kube-proxy.pem \
  --client-key=kube-proxy-key.pem \
  --embed-certs=true \
  --kubeconfig=kube-proxy.kubeconfig

[root@k8s-master1 work]# kubectl config set-context default \
  --cluster=kubernetes \
  --user=kube-proxy \
  --kubeconfig=kube-proxy.kubeconfig

[root@k8s-master1 work]# kubectl config use-context default --kubeconfig=kube-proxy.kubeconfig

5.2.2：分发kubeconfig文件

分发至所有work节点机器

[root@k8s-master1 work]# for node_name in ${NODE_NAMES[@]}
  do
    echo ">>> ${node_name}"
    scp kube-proxy.kubeconfig root@${node_name}:/etc/kubernetes/
  done

5.3：创建 kube-proxy 配置文件

5.3.1：创建 kube-proxy config 文件模板

[root@k8s-master1 work]# cat > kube-proxy-config.yaml.template <<EOF
kind: KubeProxyConfiguration
apiVersion: kubeproxy.config.k8s.io/v1alpha1
clientConnection:
  burst: 200
  kubeconfig: "/etc/kubernetes/kube-proxy.kubeconfig"
  qps: 100
bindAddress: ##NODE_IP##
healthzBindAddress: ##NODE_IP##:10256
metricsBindAddress: ##NODE_IP##:10249
enableProfiling: true
clusterCIDR: ${CLUSTER_CIDR}
hostnameOverride: ##NODE_NAME##
mode: "ipvs"
portRange: ""
iptables:
  masqueradeAll: false
ipvs:
  scheduler: rr
  excludeCIDRs: []
EOF

5.3.2：为各节点创建和分发 kube-proxy 配置文件

[root@k8s-master1 work]# for (( i=0; i < 6; i++ ))
  do 
    echo ">>> ${NODE_NAMES[i]}"
    sed -e "s/##NODE_NAME##/${NODE_NAMES[i]}/" -e "s/##NODE_IP##/${NODE_IPS[i]}/" kube-proxy-config.yaml.template > kube-proxy-config-${NODE_NAMES[i]}.yaml.template
    scp kube-proxy-config-${NODE_NAMES[i]}.yaml.template root@${NODE_NAMES[i]}:/etc/kubernetes/kube-proxy-config.yaml
  done

5.4：创建和分发 kube-proxy systemd unit 文件

5.4.1：创建文件

[root@k8s-master1 ~]# cd /opt/k8s/work
[root@k8s-master1 work]# cat > kube-proxy.service <<EOF
[Unit]
Description=Kubernetes Kube-Proxy Server
Documentation=https://github.com/GoogleCloudPlatform/kubernetes
After=network.target

[Service]
WorkingDirectory=${K8S_DIR}/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
EOF

5.4.2：分发文件

[root@k8s-master1 work]# for node_name in ${NODE_NAMES[@]}
  do 
    echo ">>> ${node_name}"
    scp kube-proxy.service root@${node_name}:/etc/systemd/system/
  done

5.5：启动kube-proxy服务

[root@k8s-master1 work]# for node_ip in ${NODE_IPS[@]}
  do
    echo ">>> ${node_ip}"
    ssh root@${node_ip} "mkdir -p ${K8S_DIR}/kube-proxy"
    ssh root@${node_ip} "modprobe ip_vs_rr"
    ssh root@${node_ip} "systemctl daemon-reload && systemctl enable kube-proxy && systemctl restart kube-proxy"
  done

5.6：检查启动结果

[root@k8s-master1 work]# for node_ip in ${NODE_IPS[@]}
  do
    echo ">>> ${node_ip}"
    ssh root@${node_ip} "systemctl status kube-proxy|grep Active"
  done

5.7：查看监听端口

登入各个work节点执行以下命令查看kube-proxy服务启动状况

[root@k8s-node1 ~]# netstat -lnpt|grep kube-prox
tcp        0      0 192.168.66.65:10249     0.0.0.0:*               LISTEN      35911/kube-proxy    
tcp        0      0 192.168.66.65:10256     0.0.0.0:*               LISTEN      35911/kube-proxy

5.8：查看 ipvs 路由规则

[root@k8s-master1 work]# for node_ip in ${NODE_IPS[@]}
  do
    echo ">>> ${node_ip}"
    ssh root@${node_ip} "/usr/sbin/ipvsadm -ln"
  done

>>> 192.168.66.62
IP Virtual Server version 1.2.1 (size=4096)
Prot LocalAddress:Port Scheduler Flags
  -> RemoteAddress:Port           Forward Weight ActiveConn InActConn
TCP  10.254.0.1:443 rr
  -> 192.168.66.62:6443           Masq    1      0          0         
  -> 192.168.66.63:6443           Masq    1      0          0         
  -> 192.168.66.64:6443           Masq    1      0          0         
>>> 192.168.66.63
IP Virtual Server version 1.2.1 (size=4096)
Prot LocalAddress:Port Scheduler Flags
  -> RemoteAddress:Port           Forward Weight ActiveConn InActConn
TCP  10.254.0.1:443 rr
  -> 192.168.66.62:6443           Masq    1      0          0         
  -> 192.168.66.63:6443           Masq    1      0          0         
  -> 192.168.66.64:6443           Masq    1      0          0         
>>> 192.168.66.64
IP Virtual Server version 1.2.1 (size=4096)
Prot LocalAddress:Port Scheduler Flags
  -> RemoteAddress:Port           Forward Weight ActiveConn InActConn
TCP  10.254.0.1:443 rr
  -> 192.168.66.62:6443           Masq    1      0          0         
  -> 192.168.66.63:6443           Masq    1      0          0         
  -> 192.168.66.64:6443           Masq    1      0          0  
>>> 192.168.66.65
IP Virtual Server version 1.2.1 (size=4096)
Prot LocalAddress:Port Scheduler Flags
  -> RemoteAddress:Port           Forward Weight ActiveConn InActConn
TCP  10.254.0.1:443 rr
  -> 192.168.66.62:6443           Masq    1      0          0         
  -> 192.168.66.63:6443           Masq    1      0          0         
  -> 192.168.66.64:6443           Masq    1      0          0         
>>> 192.168.66.66
IP Virtual Server version 1.2.1 (size=4096)
Prot LocalAddress:Port Scheduler Flags
  -> RemoteAddress:Port           Forward Weight ActiveConn InActConn
TCP  10.254.0.1:443 rr
  -> 192.168.66.62:6443           Masq    1      0          0         
  -> 192.168.66.63:6443           Masq    1      0          0         
  -> 192.168.66.64:6443           Masq    1      0          0         
>>> 192.168.66.67
IP Virtual Server version 1.2.1 (size=4096)
Prot LocalAddress:Port Scheduler Flags
  -> RemoteAddress:Port           Forward Weight ActiveConn InActConn
TCP  10.254.0.1:443 rr
  -> 192.168.66.62:6443           Masq    1      0          0         
  -> 192.168.66.63:6443           Masq    1      0          0         
  -> 192.168.66.64:6443           Masq    1      0          0

可见所有通过 https 访问 K8S SVC kubernetes 的请求都转发到 kube-apiserver 节点的 6443 端口

6、部署 calico 网络

kubernetes 要求集群内各节点(包括 master 节点)能通过 Pod 网段互联互通。
calico 使用 IPIP 或 BGP 技术（默认为 IPIP）为各节点创建一个可以互通的 Pod 网络。

6.1、安装 calico 网络插件

[root@k8s-master1 ~]# cd /opt/k8s/work
[root@k8s-master1 work]# curl https://docs.projectcalico.org/manifests/calico.yaml -O

6.1.1：修改配置

将 Pod 网段地址修改为 10.68.0.0/16，这个根据实际情况来填写;
calico 自动探查互联网卡，如果有多块网卡，则可以配置用于互联的网络接口命名正则表达式，如上面的 en.*(根据自己服务器的网络接口名修改)；
修改typha_service_name
更改 CALICO_IPV4POOL_IPIP 为 Never 使用 BGP 模式;它会以daemonset方式安装在所有node主机，每台主机启动一个bird(BGP client)，它会将calico网络内的所有node分配的ip段告知集群内的主机，并通过本机的网卡eth0或者ens33转发数据；特别注意：基于OpenStack云主机搭建的k8s集群，这里 CALICO_IPV4POOL_IPIP值保持默认，如果使用BGP会出现Pod无法ping通的情况！！！
另外增加 IP_AUTODETECTION_METHOD 为 interface 使用匹配模式，默认是first-found模式，在复杂网络环境下还是有出错的可能

#备份默认文件
[root@k8s-master1 work]# cp calico.yaml calico.yaml.bak
[root@k8s-master1 work]# vim calico.yaml

# IP automatic detection
- name: IP_AUTODETECTION_METHOD
  value: "interface=en.*"

6.1.2：运行 calico 插件

[root@k8s-master1 work]# kubectl apply -f  calico.yaml

6.2、查看 calico 运行状态

[root@k8s-master1 work]# kubectl get pods -n kube-system -o wide

使用 docker命令查看 calico 使用的镜像，在worker节点执行

[root@k8s-node1 ~]# docker images

6.3、安装calicoctl

[root@k8s-master-1 ~]# for node_ip in ${NODE_IPS[@]}
  do
    echo ">>> ${node_ip}"
    ssh root@${node_ip} "cd /opt/k8s/work && wget https://github.com/projectcalico/calicoctl/releases/download/v3.18.3/calicoctl && chmod +x calicoctl && mv calicoctl /usr/local/bin" 
  done


[root@k8s-master-1 ~]# calicoctl version
Client Version:    v3.18.3
Git commit:        8871aca3

6.4、查看calico状态

[root@k8s-master1 ~]# calicoctl node status
Calico process is running.

IPv4 BGP status
+---------------+-------------------+-------+----------+-------------+
| PEER ADDRESS  |     PEER TYPE     | STATE |  SINCE   |    INFO     |
+---------------+-------------------+-------+----------+-------------+
| 192.168.66.64 | node-to-node mesh | up    | 06:32:38 | Established |
| 192.168.66.66 | node-to-node mesh | up    | 06:32:37 | Established |
| 192.168.66.67 | node-to-node mesh | up    | 06:32:38 | Established |
| 192.168.66.63 | node-to-node mesh | up    | 06:32:54 | Established |
| 192.168.66.65 | node-to-node mesh | up    | 06:43:40 | Established |
+---------------+-------------------+-------+----------+-------------+

IPv6 BGP status
No IPv6 peers found.