• k8s部署手册-v06

    一、基础配置

    1.修改主机名

    hostnamectl set-hostname k8s-master01
hostnamectl set-hostname k8s-master02
hostnamectl set-hostname k8s-master03
hostnamectl set-hostname k8s-node01
hostnamectl set-hostname k8s-node02

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    2.添加 主机名与IP地址解析

    cat > /etc/hosts <<EOF
127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4
::1 localhost localhost.localdomain localhost6 localhost6.localdomain6


192.168.1.220 k8s-master01
192.168.1.221 k8s-master02
192.168.1.222 k8s-master03
192.168.1.223 k8s-node01
192.168.1.224 k8s-node02
EOF

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    3.升级服务器，时间同步，关闭防火墙，重启服务器

    #添加访问互联路由
cat > /etc/resolv.conf <<EOF
nameserver 114.114.114.114
nameserver 8.8.8.8
EOF

cat /etc/resolv.conf

# ssh连接Linux比较慢
#sed -i "s|#UseDNS yes|UseDNS no|" /etc/ssh/sshd_config
#sed -i "s|GSSAPIAuthentication yes|GSSAPIAuthentication no|" /etc/ssh/sshd_config


#设置为阿里云yum源

rm -rf /etc/yum.repos.d/bak && mkdir -p /etc/yum.repos.d/bak && mv /etc/yum.repos.d/* /etc/yum.repos.d/bak

curl -o /etc/yum.repos.d/CentOS-7.repo http://mirrors.aliyun.com/repo/Centos-7.repo


yum clean all && yum makecache

cd /etc/yum.repos.d


#CentOS7使用/etc/rc.d/rc.local设置开机自动启动
chmod +x /etc/rc.d/rc.local


# 将vim设置为黏贴模式，防止复制时自动缩进
echo "set paste" >> /root/.vimrc


#安装依赖包

yum -y install vim net-tools lrzsz unzip gcc telnet wget sshpass ntpdate ntp curl

yum -y install conntrack ipvsadm ipset  iptables  sysstat libseccomp git  

#时间同步
echo '*/5 * * * * /usr/sbin/ntpdate ntp1.aliyun.com >/dev/null 2>&1'>/var/spool/cron/root && crontab -l



#设置防火墙为 Iptables 并设置空规则
systemctl  stop firewalld  &&  systemctl  disable firewalld

yum -y install iptables-services  &&  systemctl  start iptables  &&  systemctl  enable iptables  &&  iptables -F  &&  service iptables save


#关闭 SELINUX
swapoff -a && sed -i '/ swap / s/^\(.*\)$/#\1/g' /etc/fstab
setenforce 0 && sed -i 's/^SELINUX=.*/SELINUX=disabled/' /etc/selinux/config

#调整内核参数，对于 K8S
cat > /etc/sysctl.d/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 # 禁止使用 swap 空间，只有当系统 OOM 时才允许使用它
vm.overcommit_memory=1 # 不检查物理内存是否够用
vm.panic_on_oom=0 # 开启 OOM  
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

modprobe ip_vs_rr && modprobe br_netfilter && sysctl -p /etc/sysctl.d/kubernetes.conf


#关闭系统不需要服务
systemctl stop postfix && systemctl disable postfix



#  k8s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]
# 持久化保存到磁盘
Storage=persistent
 
# 压缩历史日志
Compress=yes
 
SyncIntervalSec=5m
RateLimitInterval=30s
RateLimitBurst=1000
 
# 最大占用空间 10G
SystemMaxUse=10G
 
# 单日志文件最大 200M
SystemMaxFileSize=200M
 
# 日志保存时间 36 周
MaxRetentionSec=36week
 
# 不将日志转发到 syslog
ForwardToSyslog=no
EOF

systemctl restart systemd-journald

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    4.升级内核，重启服务器

    # 导入elrepo gpg key
rpm --import https://www.elrepo.org/RPM-GPG-KEY-elrepo.org


# 安装elrepo YUM源仓库
yum -y install https://www.elrepo.org/elrepo-release-7.0-4.el7.elrepo.noarch.rpm

# 安装kernel-ml版本，ml为长期稳定版本，lt为长期维护版本
yum --enablerepo="elrepo-kernel" -y install kernel-lt.x86_64


# 设置grub2默认引导为0
grub2-set-default 0


# 重新生成grub2引导文件
grub2-mkconfig -o /boot/grub2/grub.cfg


# 更新后，需要重启，使用升级的内核生效。
reboot


# 重启后，需要验证内核是否为更新对应的版本
uname -r



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    二、sealos部署k8s-v1.19

    1.安装sealos3.3

    
#添加访问互联路由
cat > /etc/resolv.conf <<EOF
nameserver 8.8.8.8
nameserver 114.114.114.114
nameserver 223.5.5.5
EOF

cat /etc/resolv.conf

#时间同步
ntpdate ntp1.aliyun.com

 
wget -c https://github.com/fanux/sealos/releases/download/v3.3.8/sealos

#tar zxvf sealos*.tar.gz sealo
chmod +x sealos && mv sealos /usr/bin

sealos version

#时间同步
ntpdate ntp1.aliyun.com

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    2.离线安装k8s 1.19

    链接：https://pan.baidu.com/s/1F9sZoHBX1K1ihBP9rZSHBQ?pwd=jood 
提取码：jood



#时间同步
ntpdate ntp1.aliyun.com

#安装
sealos init --passwd 1qaz@WSX \
	--master 192.168.1.220 \
	--master 192.168.1.221 \
	--master 192.168.1.222 \
	--node 192.168.1.223 \
	--node 192.168.1.224 \
	--pkg-url /root/kube1.19.16.tar.gz \
	--version v1.19.16



#安装
sealos init --passwd 1qaz@WSX \
	--master 192.168.1.115 \
	--master 192.168.1.116 \
	--master 192.168.1.117 \
	--node 192.168.1.118 \
	--node 192.168.1.119 \
	--pkg-url /root/kube1.19.16.tar.gz \
	--version v1.19.16


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    3.验证集群

    kubectl get nodes
 
kubectl get pod -A
 
 
 
#配置kubectl自动补全
yum install -y bash-completion
source /usr/share/bash-completion/bash_completion
source <(kubectl completion bash)
echo "source <(kubectl completion bash)" >> /etc/profile


#查看污点
kubectl describe node |grep -i taints

#去除污点
#kubectl taint node k8s-master02 node-role.kubernetes.io/master:NoSchedule-
#kubectl taint node k8s-master03 node-role.kubernetes.io/master:NoSchedule-

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    4.sealos3.3常用命令

    #添加 node 节点：
sealos join --node 192.168.1.63,192.168.1.64

 
#添加master
sealos join --master 192.168.1.61,192.168.1.62
 
 
#删除 node 节点：
sealos clean --node 192.168.1.63,192.168.1.64
 
 
#删除 master 节点：
sealos clean --master 192.168.1.61,192.168.1.62
 

#重置集群
sealos clean --all -f

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    5.安装top命令

    cat > /root/top.yaml <<EOF
apiVersion: v1
kind: ServiceAccount
metadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server
  namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  labels:
    k8s-app: metrics-server
    rbac.authorization.k8s.io/aggregate-to-admin: "true"
    rbac.authorization.k8s.io/aggregate-to-edit: "true"
    rbac.authorization.k8s.io/aggregate-to-view: "true"
  name: system:aggregated-metrics-reader
rules:
- apiGroups:
  - metrics.k8s.io
  resources:
  - pods
  - nodes
  verbs:
  - get
  - list
  - watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  labels:
    k8s-app: metrics-server
  name: system:metrics-server
rules:
- apiGroups:
  - ""
  resources:
  - pods
  - nodes
  - nodes/stats
  - namespaces
  - configmaps
  verbs:
  - get
  - list
  - watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server-auth-reader
  namespace: kube-system
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: Role
  name: extension-apiserver-authentication-reader
subjects:
- kind: ServiceAccount
  name: metrics-server
  namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server:system:auth-delegator
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: system:auth-delegator
subjects:
- kind: ServiceAccount
  name: metrics-server
  namespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
  labels:
    k8s-app: metrics-server
  name: system:metrics-server
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: system:metrics-server
subjects:
- kind: ServiceAccount
  name: metrics-server
  namespace: kube-system
---
apiVersion: v1
kind: Service
metadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server
  namespace: kube-system
spec:
  ports:
  - name: https
    port: 443
    protocol: TCP
    targetPort: https
  selector:
    k8s-app: metrics-server
---
apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server
  namespace: kube-system
spec:
  selector:
    matchLabels:
      k8s-app: metrics-server
  strategy:
    rollingUpdate:
      maxUnavailable: 0
  template:
    metadata:
      labels:
        k8s-app: metrics-server
    spec:
      containers:
      - args:
        - --cert-dir=/tmp
        - --kubelet-insecure-tls
        - --secure-port=4443
        - --kubelet-preferred-address-types=InternalIP,ExternalIP,Hostname
        - --kubelet-use-node-status-port
        #这里可以自己把metrics-server做到自己的阿里云镜像里面，并把下面替换成自己的镜像地址
        image: registry.cn-hangzhou.aliyuncs.com/lfy_k8s_images/metrics-server:v0.4.3
        imagePullPolicy: IfNotPresent
        livenessProbe:
          failureThreshold: 3
          httpGet:
            path: /livez
            port: https
            scheme: HTTPS
          periodSeconds: 10
        name: metrics-server
        ports:
        - containerPort: 4443
          name: https
          protocol: TCP
        readinessProbe:
          failureThreshold: 3
          httpGet:
            path: /readyz
            port: https
            scheme: HTTPS
          periodSeconds: 10
        securityContext:
          readOnlyRootFilesystem: true
          runAsNonRoot: true
          runAsUser: 1000
        volumeMounts:
        - mountPath: /tmp
          name: tmp-dir
      nodeSelector:
        kubernetes.io/os: linux
      priorityClassName: system-cluster-critical
      serviceAccountName: metrics-server
      volumes:
      - emptyDir: {}
        name: tmp-dir
---
apiVersion: apiregistration.k8s.io/v1
kind: APIService
metadata:
  labels:
    k8s-app: metrics-server
  name: v1beta1.metrics.k8s.io
spec:
  group: metrics.k8s.io
  groupPriorityMinimum: 100
  insecureSkipTLSVerify: true
  service:
    name: metrics-server
    namespace: kube-system
  version: v1beta1
  versionPriority: 100
EOF



kubectl apply -f /root/top.yaml



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    三、部署nfs

    1.服务端

    #添加访问互联路由
cat > /etc/resolv.conf <<EOF
nameserver 114.114.114.114
nameserver 8.8.8.8
EOF

# 我们这里在192.168.1.225上安装（在生产中，大家要提供作好NFS-SERVER环境的规划）
yum -y install nfs-utils
 
# 创建NFS挂载目录
mkdir /nfs_dir
chown nobody.nobody /nfs_dir
 
# 修改NFS-SERVER配置
echo '/nfs_dir *(rw,sync,no_root_squash)' > /etc/exports
 
# 重启服务
systemctl restart rpcbind.service
systemctl restart nfs-utils.service 
systemctl restart nfs-server.service 
 
# 增加NFS-SERVER开机自启动
systemctl enable  rpcbind.service
systemctl enable  nfs-utils.service 
systemctl enable  nfs-server.service 
 
# 验证NFS-SERVER是否能正常访问
#showmount -e 192.168.1.225

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    2.客户端

    #需要挂载的服务器执行
mkdir /nfs_dir
yum install nfs-utils -y

#挂载
mount 192.168.1.225:/nfs_dir /nfs_dir

#添加开机挂载
echo "mount 192.168.1.225:/nfs_dir /nfs_dir" >> /etc/rc.local


cat /etc/rc.local



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    四、部署StorageClass

    1.创建nfs-sc.yaml

    cat > /root/nfs-sc.yaml <<EOF
apiVersion: v1
kind: ServiceAccount
metadata:
  name: nfs-client-provisioner
  namespace: kube-system
 
---
kind: ClusterRole
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: nfs-client-provisioner-runner
rules:
  - apiGroups: [""]
    resources: ["persistentvolumes"]
    verbs: ["get", "list", "watch", "create", "delete"]
  - apiGroups: [""]
    resources: ["persistentvolumeclaims"]
    verbs: ["get", "list", "watch", "update"]
  - apiGroups: ["storage.k8s.io"]
    resources: ["storageclasses"]
    verbs: ["get", "list", "watch"]
  - apiGroups: [""]
    resources: ["events"]
    verbs: ["list", "watch", "create", "update", "patch"]
  - apiGroups: [""]
    resources: ["endpoints"]
    verbs: ["get", "list", "watch", "create", "update", "patch"]
 
---
kind: ClusterRoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
  name: run-nfs-client-provisioner
subjects:
  - kind: ServiceAccount
    name: nfs-client-provisioner
    namespace: kube-system 
roleRef:
  kind: ClusterRole
  name: nfs-client-provisioner-runner
  apiGroup: rbac.authorization.k8s.io
 
---
kind: Deployment
apiVersion: apps/v1
metadata:
  name: nfs-provisioner-01
  namespace: kube-system
spec:
  replicas: 1
  strategy:
    type: Recreate
  selector:
    matchLabels:
      app: nfs-provisioner-01
  template:
    metadata:
      labels:
        app: nfs-provisioner-01
    spec:
      serviceAccountName: nfs-client-provisioner
      containers:
        - name: nfs-client-provisioner
#老版本插件使用jmgao1983/nfs-client-provisioner:latest
#          image: jmgao1983/nfs-client-provisioner:latest
          image: vbouchaud/nfs-client-provisioner:latest
          imagePullPolicy: IfNotPresent
          volumeMounts:
            - name: nfs-client-root
              mountPath: /persistentvolumes
          env:
            - name: PROVISIONER_NAME
              value: nfs-provisioner-01  # 此处供应者名字供storageclass调用
            - name: NFS_SERVER
              value: 192.168.1.225   # 填入NFS的地址
            - name: NFS_PATH
              value: /nfs_dir   # 填入NFS挂载的目录
      volumes:
        - name: nfs-client-root
          nfs:
            server: 192.168.1.225   # 填入NFS的地址
            path: /nfs_dir   # 填入NFS挂载的目录
 
---
apiVersion: storage.k8s.io/v1
kind: StorageClass
metadata:
  name: nfs-boge
provisioner: nfs-provisioner-01
# Supported policies: Delete、 Retain ， default is Delete
reclaimPolicy: Retain
EOF




#创建
kubectl apply -f /root/nfs-sc.yaml

#查看
kubectl -n kube-system get pod


kubectl get sc

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    五、harbor仓库搭建

    1.安装

     
#目录/root上传文件docker-compose和harbor-offline-installer-v1.2.0.tgz


mv /root/docker-compose /usr/local/bin/
chmod a+x /usr/local/bin/docker-compose
 
ln -s /usr/local/bin/docker-compose /usr/bin/docker-compose
 
tar -zxvf harbor-offline-installer-v2.4.1.tgz
 
mv harbor /usr/local/
 
cd /usr/local/harbor/
 
cp harbor.yml.tmpl harbor.yml

#修改配置信息
sed -i 's/hostname: reg.mydomain.com/hostname: 192.168.1.225/g' harbor.yml
sed -i 's/https/#https/g' harbor.yml
sed -i 's/port: 443/#port: 443/g' harbor.yml
sed -i 's/certificate/#certificate/g' harbor.yml
sed -i 's/private_key/#private_key/g' harbor.yml

#数据库目录
mkdir /data

cat > /etc/docker/daemon.json <<EOF
{
    "registry-mirrors": ["https://gv33cz42.mirror.aliyuncs.com", "https://registry.cn-hangzhou.aliyuncs.com", "https://registry.docker-cn.com", "https://docker.mirrors.ustc.edu.cn", "https://dockerhub.azk8s.cn"],
  "insecure-registries":
        ["192.168.1.225:80"],
    "exec-opts": ["native.cgroupdriver=systemd"],
    "max-concurrent-downloads": 20,
    "live-restore": true,
    "storage-driver": "overlay2",
    "max-concurrent-uploads": 10,
    "debug": true,
    "log-opts": {
    "max-size": "100m",
    "max-file": "10"
    }
}
EOF


 
systemctl daemon-reload && systemctl restart docker && systemctl status docker

 
 
#安装
./install.sh
 
 
## 重启harbor
cd /usr/local/harbor/
docker-compose down -v
docker-compose up -d
docker ps|grep harbor
netstat -ntlp


访问url
http://192.168.1.225/


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    2.需要访问仓库的其他节点的 daemon.json添加如下内容

    
cat > /etc/docker/daemon.json <<EOF
{
  "registry-mirrors": [
     "https://bxsfpjcb.mirror.aliyuncs.com"
  ],
  "max-concurrent-downloads": 10,
  "log-driver": "json-file",
  "log-level": "warn",
  "log-opts": {
    "max-size": "10m",
    "max-file": "3"
    },
  "insecure-registries":
        ["127.0.0.1","192.168.1.225:80"],
  "data-root":"/var/lib/docker"
}
EOF



#重启
systemctl daemon-reload && systemctl restart docker && systemctl status docker



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    3.节点使用仓库

     
#登入仓库网站
docker login -u admin -p Harbor12345 192.168.1.225:80

#下载镜像
docker pull daocloud.io/library/nginx:1.9.1

#给镜像打上标签
docker tag daocloud.io/library/nginx:1.9.1 192.168.1.225:80/library/nginx:1.9.1
 
#镜像上传
docker push 192.168.1.225:80/library/nginx:1.9.1

#删除镜像
docker rmi 192.168.1.225:80/library/nginx:1.9.1
 
#将镜像保存为本地tar文件，
docker save k8s.gcr.io/coredns:1.7.0  > /root/coredns-v1.7.0.tar 


#使用load加载tar文件
docker load -i  /root/coredns-v1.7.0.tar

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    4.批量打包上传harbor镜像

    
cd /root
#查看服务器镜像名称
docker images | awk 'NR!=1{print $1":"$2}' > 01-image-old.txt && cat 01-image-old.txt

# /换成-
rm -rf  02-image-sed.txt && cp 01-image-old.txt 02-image-sed.txt && sed -i  "s|/|-|g" 02-image-sed.txt  && cat /root/02-image-sed.txt


#打标签harbor仓库

vim /root/03-tar-image.sh 
#####################################################
#!/bin/sh
old=/root/01-image-old.txt
new=/root/02-image-sed.txt
l=$(cat /root/01-image-old.txt| wc -l)
for ((i=1 ; i<=$l ; i++))
do
a=$(sed -n "$i"p $old)
b=$(sed -n "$i"p $new)
#echo "update xxxx  set uid='$a' where uid='$b';"
docker tag $a 192.168.1.225:80/library/$b
done
#####################################################




#运行打仓库标签
bash /root/03-tar-image.sh

docker images |grep library



#查看打标harbor仓库images名称
docker images |grep 192.168.1.225 | awk '{print $1":"$2}'  > 04-tar-image.txt && cat 04-tar-image.txt

#上传到harbor仓库
for h in `cat 04-tar-image.txt`; do docker push $h; done




#删除打标镜像
for d in `cat 04-tar-image.txt`; do docker rmi $d; done
docker images |grep library

#删除创建的文件
rm -rf /root/0*txt  03-tar-image.sh

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    六、kuboard界面管理

    1.下载地址

    curl -o kuboard-v3.yaml https://addons.kuboard.cn/kuboard/kuboard-v3-storage-class.yaml

    2.编辑yaml

    #编辑 kuboard-v3.yaml 文件中的配置，该部署文件中，有3处配置必须修改：storageClassName


  volumeClaimTemplates:
  - metadata:
      name: data
    spec:
      # 请填写一个有效的 StorageClass name
      storageClassName: nfs-boge
      accessModes: [ "ReadWriteMany" ]
      resources:
        requests:
          storage: 5Gi


---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: kuboard-data-pvc
  namespace: kuboard
spec:
  storageClassName: nfs-boge
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 10Gi


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    3.执行

    kubectl create -f kuboard-v3.yaml

kubectl get pod -n kuboard

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

#访问
http://192.168.1.220:30080/
输入初始用户名和密码，并登录
    用户名： admin
    密码： Kuboard123
#############################################	

#查看错误
journalctl -f -u kubelet.service

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    七、helm3安装

    1.helm包下载地址

     wget https://get.helm.sh/helm-v3.6.1-linux-amd64.tar.gz

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    2.安装helm

    #解压 && 移动到 /usr/bin 目录下:

tar -xvf helm-v3.6.1-linux-amd64.tar.gz && cd linux-amd64/ && mv helm /usr/bin 


#查看版本
helm version

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    3.配置仓库

    #添加公用的仓库
helm repo add incubator https://charts.helm.sh/incubator
helm repo add bitnami https://charts.bitnami.com/bitnami
# 配置helm微软源地址
helm repo add stable http://mirror.azure.cn/kubernetes/charts
# 配置helm阿里源地址
helm repo add aliyun https://kubernetes.oss-cn-hangzhou.aliyuncs.com/charts

helm repo add stable   https://kubernetes.oss-cn-hangzhou.aliyuncs.com/charts
helm repo add google  https://kubernetes-charts.storage.googleapis.com
helm repo add jetstack https://charts.jetstack.io

# 查看仓库
helm repo list
# 更新仓库
helm repo update  

# 删除仓库
#helm repo remove  aliyun


# helm list


#解决 执行helm警告kube/config文件不安全问题
chmod g-rw ~/.kube/config
chmod o-r ~/.kube/config

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    八、haproxy+keepalived+ingress

    1.部署阿里云ingress

    mkdir -p /data/k8s/

cd /data/k8s/
 
cat > /data/k8s/aliyun-ingress-nginx.yaml <<EOF
apiVersion: v1
kind: Namespace
metadata:
  name: ingress-nginx
  labels:
    app: ingress-nginx
---
apiVersion: v1
kind: ServiceAccount
metadata:
  name: nginx-ingress-controller
  namespace: ingress-nginx
  labels:
    app: ingress-nginx
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRole
metadata:
  name: nginx-ingress-controller
  labels:
    app: ingress-nginx
rules:
  - apiGroups:
      - ""
    resources:
      - configmaps
      - endpoints
      - nodes
      - pods
      - secrets
      - namespaces
      - services
    verbs:
      - get
      - list
      - watch
  - apiGroups:
      - "extensions"
      - "networking.k8s.io"
    resources:
      - ingresses
    verbs:
      - get
      - list
      - watch
  - apiGroups:
      - ""
    resources:
      - events
    verbs:
      - create
      - patch
  - apiGroups:
      - "extensions"
      - "networking.k8s.io"
    resources:
      - ingresses/status
    verbs:
      - update
  - apiGroups:
      - ""
    resources:
      - configmaps
    verbs:
      - create
  - apiGroups:
      - ""
    resources:
      - configmaps
    resourceNames:
      - "ingress-controller-leader-nginx"
    verbs:
      - get
      - update
---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
  name: nginx-ingress-controller
  labels:
    app: ingress-nginx
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: nginx-ingress-controller
subjects:
  - kind: ServiceAccount
    name: nginx-ingress-controller
    namespace: ingress-nginx
---
apiVersion: v1
kind: Service
metadata:
  labels:
    app: ingress-nginx
  name: nginx-ingress-lb
  namespace: ingress-nginx
spec:
  # DaemonSet need:
  # ----------------
  type: ClusterIP
  # ----------------
  # Deployment need:
  # ----------------
#  type: NodePort
  # ----------------
  ports:
  - name: http
    port: 80
    targetPort: 80
    protocol: TCP
  - name: https
    port: 443
    targetPort: 443
    protocol: TCP
  - name: metrics
    port: 10254
    protocol: TCP
    targetPort: 10254
  selector:
    app: ingress-nginx
---
kind: ConfigMap
apiVersion: v1
metadata:
  name: nginx-configuration
  namespace: ingress-nginx
  labels:
    app: ingress-nginx
data:
  keep-alive: "75"
  keep-alive-requests: "100"
  upstream-keepalive-connections: "10000"
  upstream-keepalive-requests: "100"
  upstream-keepalive-timeout: "60"
  allow-backend-server-header: "true"
  enable-underscores-in-headers: "true"
  generate-request-id: "true"
  http-redirect-code: "301"
  ignore-invalid-headers: "true"
  log-format-upstream: '{"@timestamp": "$time_iso8601","remote_addr": "$remote_addr","x-forward-for": "$proxy_add_x_forwarded_for","request_id": "$req_id","remote_user": "$remote_user","bytes_sent": $bytes_sent,"request_time": $request_time,"status": $status,"vhost": "$host","request_proto": "$server_protocol","path": "$uri","request_query": "$args","request_length": $request_length,"duration": $request_time,"method": "$request_method","http_referrer": "$http_referer","http_user_agent":  "$http_user_agent","upstream-sever":"$proxy_upstream_name","proxy_alternative_upstream_name":"$proxy_alternative_upstream_name","upstream_addr":"$upstream_addr","upstream_response_length":$upstream_response_length,"upstream_response_time":$upstream_response_time,"upstream_status":$upstream_status}'
  max-worker-connections: "65536"
  worker-processes: "2"
  proxy-body-size: 20m
  proxy-connect-timeout: "10"
  proxy_next_upstream: error timeout http_502
  reuse-port: "true"
  server-tokens: "false"
  ssl-ciphers: ECDHE-RSA-AES128-GCM-SHA256:ECDHE-ECDSA-AES128-GCM-SHA256:ECDHE-RSA-AES256-GCM-SHA384:ECDHE-ECDSA-AES256-GCM-SHA384:DHE-RSA-AES128-GCM-SHA256:DHE-DSS-AES128-GCM-SHA256:kEDH+AESGCM:ECDHE-RSA-AES128-SHA256:ECDHE-ECDSA-AES128-SHA256:ECDHE-RSA-AES128-SHA:ECDHE-ECDSA-AES128-SHA:ECDHE-RSA-AES256-SHA384:ECDHE-ECDSA-AES256-SHA384:ECDHE-RSA-AES256-SHA:ECDHE-ECDSA-AES256-SHA:DHE-RSA-AES128-SHA256:DHE-RSA-AES128-SHA:DHE-DSS-AES128-SHA256:DHE-RSA-AES256-SHA256:DHE-DSS-AES256-SHA:DHE-RSA-AES256-SHA:AES128-GCM-SHA256:AES256-GCM-SHA384:AES128-SHA256:AES256-SHA256:AES128-SHA:AES256-SHA:AES:CAMELLIA:DES-CBC3-SHA:!aNULL:!eNULL:!EXPORT:!DES:!RC4:!MD5:!PSK:!aECDH:!EDH-DSS-DES-CBC3-SHA:!EDH-RSA-DES-CBC3-SHA:!KRB5-DES-CBC3-SHA
  ssl-protocols: TLSv1 TLSv1.1 TLSv1.2
  ssl-redirect: "false"
  worker-cpu-affinity: auto
---
kind: ConfigMap
apiVersion: v1
metadata:
  name: tcp-services
  namespace: ingress-nginx
  labels:
    app: ingress-nginx
---
kind: ConfigMap
apiVersion: v1
metadata:
  name: udp-services
  namespace: ingress-nginx
  labels:
    app: ingress-nginx
---
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: nginx-ingress-controller
  namespace: ingress-nginx
  labels:
    app: ingress-nginx
  annotations:
    component.version: "v0.30.0"
    component.revision: "v1"
spec:
  # Deployment need:
  # ----------------
#  replicas: 1
  # ----------------
  selector:
    matchLabels:
      app: ingress-nginx
  template:
    metadata:
      labels:
        app: ingress-nginx
      annotations:
        prometheus.io/port: "10254"
        prometheus.io/scrape: "true"
        scheduler.alpha.kubernetes.io/critical-pod: ""
    spec:
      # DaemonSet need:
      # ----------------
      hostNetwork: true
      # ----------------
      serviceAccountName: nginx-ingress-controller
      priorityClassName: system-node-critical
      affinity:
        podAntiAffinity:
          preferredDuringSchedulingIgnoredDuringExecution:
          - podAffinityTerm:
              labelSelector:
                matchExpressions:
                - key: app
                  operator: In
                  values:
                  - ingress-nginx
              topologyKey: kubernetes.io/hostname
            weight: 100
        nodeAffinity:
          requiredDuringSchedulingIgnoredDuringExecution:
            nodeSelectorTerms:
            - matchExpressions:
              - key: type
                operator: NotIn
                values:
                - virtual-kubelet
      containers:
        - name: nginx-ingress-controller
          image: registry.cn-beijing.aliyuncs.com/acs/aliyun-ingress-controller:v0.30.0.2-9597b3685-aliyun
          imagePullPolicy: IfNotPresent
          args:
            - /nginx-ingress-controller
            - --configmap=$(POD_NAMESPACE)/nginx-configuration
            - --tcp-services-configmap=$(POD_NAMESPACE)/tcp-services
            - --udp-services-configmap=$(POD_NAMESPACE)/udp-services
            - --publish-service=$(POD_NAMESPACE)/nginx-ingress-lb
            - --annotations-prefix=nginx.ingress.kubernetes.io
            - --enable-dynamic-certificates=true
            - --v=2
          securityContext:
            allowPrivilegeEscalation: true
            capabilities:
              drop:
                - ALL
              add:
                - NET_BIND_SERVICE
            runAsUser: 101
          env:
            - name: POD_NAME
              valueFrom:
                fieldRef:
                  fieldPath: metadata.name
            - name: POD_NAMESPACE
              valueFrom:
                fieldRef:
                  fieldPath: metadata.namespace
          ports:
            - name: http
              containerPort: 80
            - name: https
              containerPort: 443
          livenessProbe:
            failureThreshold: 3
            httpGet:
              path: /healthz
              port: 10254
              scheme: HTTP
            initialDelaySeconds: 10
            periodSeconds: 10
            successThreshold: 1
            timeoutSeconds: 10
          readinessProbe:
            failureThreshold: 3
            httpGet:
              path: /healthz
              port: 10254
              scheme: HTTP
            periodSeconds: 10
            successThreshold: 1
            timeoutSeconds: 10
#          resources:
#            limits:
#              cpu: "1"
#              memory: 2Gi
#            requests:
#              cpu: "1"
#              memory: 2Gi
          volumeMounts:
          - mountPath: /etc/localtime
            name: localtime
            readOnly: true
      volumes:
      - name: localtime
        hostPath:
          path: /etc/localtime
          type: File
      nodeSelector:
        boge/ingress-controller-ready: "true"
      tolerations:
      - operator: Exists
      initContainers:
      - command:
        - /bin/sh
        - -c
        - |
          mount -o remount rw /proc/sys
          sysctl -w net.core.somaxconn=65535
          sysctl -w net.ipv4.ip_local_port_range="1024 65535"
          sysctl -w fs.file-max=1048576
          sysctl -w fs.inotify.max_user_instances=16384
          sysctl -w fs.inotify.max_user_watches=524288
          sysctl -w fs.inotify.max_queued_events=16384
        image: registry.cn-beijing.aliyuncs.com/acs/busybox:v1.29.2
        imagePullPolicy: IfNotPresent
        name: init-sysctl
        securityContext:
          privileged: true
          procMount: Default
---
## Deployment need for aliyun'k8s:
#apiVersion: v1
#kind: Service
#metadata:
#  annotations:
#    service.beta.kubernetes.io/alibaba-cloud-loadbalancer-id: "lb-xxxxxxxxxxxxxxxxxxx"
#    service.beta.kubernetes.io/alibaba-cloud-loadbalancer-force-override-listeners: "true"
#  labels:
#    app: nginx-ingress-lb
#  name: nginx-ingress-lb-local
#  namespace: ingress-nginx
#spec:
#  externalTrafficPolicy: Local
#  ports:
#  - name: http
#    port: 80
#    protocol: TCP
#    targetPort: 80
#  - name: https
#    port: 443
#    protocol: TCP
#    targetPort: 443
#  selector:
#    app: ingress-nginx
#  type: LoadBalancer
EOF

 

kubectl  apply -f /data/k8s/aliyun-ingress-nginx.yaml

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    2.node01/02节点打标签

    #允许节点打标签
kubectl label node k8s-node01  boge/ingress-controller-ready=true
kubectl label node k8s-node02  boge/ingress-controller-ready=true


#删除标签
#kubectl label node k8s-node01 boge/ingress-controller-ready-
#kubectl label node k8s-node02 boge/ingress-controller-ready-

#查看标签
kubectl get nodes --show-labels


kubectl -n ingress-nginx get po -owide




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    3.haproxy+keepalived部署

    3.0 k8s-mast01/02/03上面部署
    yum install haproxy keepalived  -y

#重启程序
systemctl restart haproxy.service && systemctl status haproxy.service 
systemctl restart keepalived.service && systemctl status haproxy.service 


# 查看运行状态
systemctl status haproxy.service 
systemctl status keepalived.service

#开机自启动
systemctl  enable keepalived.service
systemctl  enable haproxy.service



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    3.1 k8s-mast01/02/03修改配置haproxy
    cat >> /etc/haproxy/haproxy.cfg <<EOF
###################################################
listen ingress-http
        bind 0.0.0.0:80
        mode tcp
        option tcplog
        option dontlognull
        option dontlog-normal
        balance roundrobin
        server 192.168.1.223 192.168.1.223:80 check inter 2000 fall 2 rise 2 weight 1
        server 192.168.1.224 192.168.1.224:80 check inter 2000 fall 2 rise 2 weight 1

listen ingress-https
        bind 0.0.0.0:443
        mode tcp
        option tcplog
        option dontlognull
        option dontlog-normal
        balance roundrobin
        server 192.168.1.223 192.168.1.223:443 check inter 2000 fall 2 rise 2 weight 1
        server 192.168.1.224 192.168.1.224:443 check inter 2000 fall 2 rise 2 weight 1
###################################################
EOF

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    3.2 k8s-mast01/02/03修改keepalived配置
    cat > /etc/keepalived/keepalived.conf <<EOF
global_defs {
    router_id lb-master
}
vrrp_script check-haproxy {
    script "killall -0 haproxy"
    interval 5
    weight -60
}
vrrp_instance VI-kube-master {
    state MASTER
    priority 120
    dont_track_primary
    interface ens160  				# 注意这里的网卡名称修改成你机器真实的内网网卡名称
    virtual_router_id 111
    advert_int 3              # 指定VRRP 心跳包通告间隔时间，默认3秒
    track_script {
        check-haproxy
    }
    virtual_ipaddress {
        192.168.1.100				#vip  地址
    }
}
EOF

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    3.3 k8s-mast01/02/03 重启服务
    
#重启服务
systemctl restart haproxy.service
systemctl restart keepalived.service


# 查看运行状态
systemctl status haproxy.service 
systemctl status keepalived.service



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    4.部署nginx-ingress

    cat > /root/nginx-ingress.yaml <<EOF
apiVersion: v1
kind: Service
metadata:
  name: nginx
  labels:
    app: nginx
spec:
  ports:
    - port: 80
      protocol: TCP
      targetPort: 80
  selector:
    app: nginx
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: nginx
  labels:
    app: nginx
spec:
  replicas: 1
  selector:
    matchLabels:
      app: nginx
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
        - name: nginx
          image: nginx
          imagePullPolicy: IfNotPresent #镜像在本地不存在时才会拉取
          ports:
            - containerPort: 80
---
apiVersion: extensions/v1beta1
kind: Ingress
metadata:
  name: nginx-ingress
spec:
  rules:
    - host: nginx.boge.com
      http:
        paths:
          - backend:
              serviceName: nginx
              servicePort: 80
            path: /
EOF

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    5.测试nginx-ingress

    

kubectl apply -f /root/nginx-ingress.yaml
#查看创建的ingress资源
kubectl get ingress -A





#服务器新增域名解析
echo "192.168.1.100 nginx.boge.com" >> /etc/hosts




# 我们在其它节点上，加下本地hosts，来测试下效果
192.168.1.100 nginx.boge.com



#测试
curl nginx.boge.com

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    九、elk日志监控

    1.创建测试tomcat

    cat > 01-tomcat-test.yaml <<EOF
apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    app: tomcat
  name: tomcat
spec:
  replicas: 1
  selector:
    matchLabels:
      app: tomcat
  template:
    metadata:
      labels:
        app: tomcat
    spec:
      tolerations:
      - key: "node-role.kubernetes.io/master"
        effect: "NoSchedule"
      containers:
      - name: tomcat
        image: "tomcat:7.0"
        env:      # 注意点一，添加相应的环境变量（下面收集了两块日志1、stdout 2、/usr/local/tomcat/logs/catalina.*.log）
        - name: aliyun_logs_tomcat-syslog   # 如日志发送到es，那index名称为 tomcat-syslog
          value: "stdout"
        - name: aliyun_logs_tomcat-access   # 如日志发送到es，那index名称为 tomcat-access
          value: "/usr/local/tomcat/logs/catalina.*.log"
        volumeMounts:   # 注意点二，对pod内要收集的业务日志目录需要进行共享，可以收集多个目录下的日志文件
          - name: tomcat-log
            mountPath: /usr/local/tomcat/logs
      volumes:
        - name: tomcat-log
          emptyDir: {}
EOF



kubectl apply -f 01-tomcat-test.yaml

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    2.部署elasticsearch

    kubectl create ns logging



cat > 02-elasticsearch.6.8.13-statefulset.yaml << EOF
apiVersion: apps/v1
kind: StatefulSet
metadata:
  labels:
    addonmanager.kubernetes.io/mode: Reconcile
    k8s-app: elasticsearch-logging
    version: v6.8.13
  name: elasticsearch-logging
  namespace: logging
spec:
  replicas: 1
  revisionHistoryLimit: 10
  selector:
    matchLabels:
      k8s-app: elasticsearch-logging
      version: v6.8.13
  serviceName: elasticsearch-logging
  template:
    metadata:
      labels:
        k8s-app: elasticsearch-logging
        version: v6.8.13
    spec:
#      nodeSelector:
#        esnode: "true"  ## 注意给想要运行到的node打上相应labels
      containers:
      - env:
        - name: NAMESPACE
          valueFrom:
            fieldRef:
              apiVersion: v1
              fieldPath: metadata.namespace
        - name: cluster.name
          value: elasticsearch-logging-0
        - name: ES_JAVA_OPTS
          value: "-Xms512m -Xmx512m"
        image: elastic/elasticsearch:6.8.13
        name: elasticsearch-logging
        ports:
        - containerPort: 9200
          name: db
          protocol: TCP
        - containerPort: 9300
          name: transport
          protocol: TCP
        volumeMounts:
        - mountPath: /usr/share/elasticsearch/data
          name: elasticsearch-logging
      dnsConfig:
        options:
        - name: single-request-reopen
      initContainers:
      - command:
        - /bin/sysctl
        - -w
        - vm.max_map_count=262144
        image: busybox
        imagePullPolicy: IfNotPresent
        name: elasticsearch-logging-init
        resources: {}
        securityContext:
          privileged: true
      - name: fix-permissions
        image: busybox
        command: ["sh", "-c", "chown -R 1000:1000 /usr/share/elasticsearch/data"]
        securityContext:
          privileged: true
        volumeMounts:
        - name: elasticsearch-logging
          mountPath: /usr/share/elasticsearch/data
      volumes:
      - name: elasticsearch-logging
        hostPath:
          path: /esdata
---
apiVersion: v1
kind: Service
metadata:
  labels:
    k8s-app: elasticsearch-logging
  name: elasticsearch
  namespace: logging
spec:
  ports:
  - port: 9200
    protocol: TCP
    targetPort: db
  selector:
    k8s-app: elasticsearch-logging
  type: ClusterIP
EOF


  
  
kubectl apply -f 02-elasticsearch.6.8.13-statefulset.yaml

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    3.部署kibana

    cat > 03-kibana.6.8.13.yaml <<EOF
apiVersion: apps/v1
kind: Deployment
metadata:
  name: kibana
  namespace: logging
  labels:
    app: kibana
spec:
  selector:
    matchLabels:
      app: kibana
  template:
    metadata:
      labels:
        app: kibana
    spec:
      containers:
      - name: kibana
        image: elastic/kibana:6.8.13
        resources:
          limits:
            cpu: 1000m
          requests:
            cpu: 100m
        env:
          - name: ELASTICSEARCH_URL
            value: http://elasticsearch:9200
        ports:
        - containerPort: 5601
---
apiVersion: v1
kind: Service
metadata:
  name: kibana
  namespace: logging
  labels:
    app: kibana
spec:
  ports:
  - port: 5601
    protocol: TCP
    targetPort: 5601
  type: ClusterIP
  selector:
    app: kibana
---
apiVersion: extensions/v1beta1
kind: Ingress
metadata:
  name: kibana
  namespace: logging
spec:
  rules:
  - host: kibana.boge.com
    http:
      paths:
      - path: /
        backend:
          serviceName: kibana
          servicePort: 5601
EOF




kubectl apply -f 03-kibana.6.8.13.yaml

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    4.部署log-pilot

    cat > 04-log-pilot.yml <<EOF
apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: log-pilot
  namespace: logging
  labels:
    app: log-pilot
  # 设置期望部署的namespace

spec:
  selector:
    matchLabels:
      app: log-pilot
  updateStrategy:
    type: RollingUpdate
  template:
    metadata:
      labels:
        app: log-pilot
      annotations:
        scheduler.alpha.kubernetes.io/critical-pod: ''
    spec:
      # 是否允许部署到Master节点上
      #tolerations:
      #- key: node-role.kubernetes.io/master
      #  effect: NoSchedule
      containers:
      - name: log-pilot
        # 版本请参考https://github.com/AliyunContainerService/log-pilot/releases
        image: registry.cn-hangzhou.aliyuncs.com/acs/log-pilot:0.9.7-filebeat
        resources:
          limits:
            memory: 500Mi
          requests:
            cpu: 200m
            memory: 200Mi
        env:
          - name: "NODE_NAME"
            valueFrom:
              fieldRef:
                fieldPath: spec.nodeName
          ##--------------------------------
#          - name: "LOGGING_OUTPUT"
#            value: "logstash"
#          - name: "LOGSTASH_HOST"
#            value: "logstash-g1"
#          - name: "LOGSTASH_PORT"
#            value: "5044"
          ##--------------------------------
          - name: "LOGGING_OUTPUT"
            value: "elasticsearch"
          ## 请确保集群到ES网络可达
          - name: "ELASTICSEARCH_HOSTS"
            value: "elasticsearch:9200"
          ## 配置ES访问权限
          #- name: "ELASTICSEARCH_USER"
          #  value: "{es_username}"
          #- name: "ELASTICSEARCH_PASSWORD"
          #  value: "{es_password}"
          ##--------------------------------
          ## https://github.com/AliyunContainerService/log-pilot/blob/master/docs/filebeat/docs.md
          ## to file need configure 1
#          - name: LOGGING_OUTPUT
#            value: file
#          - name: FILE_PATH
#            value: /tmp
#          - name: FILE_NAME
#            value: filebeat.log
        volumeMounts:
        - name: sock
          mountPath: /var/run/docker.sock
        - name: root
          mountPath: /host
          readOnly: true
        - name: varlib
          mountPath: /var/lib/filebeat
        - name: varlog
          mountPath: /var/log/filebeat
        - name: localtime
          mountPath: /etc/localtime
          readOnly: true
         ## to file need configure 2
#        - mountPath: /tmp
#          name: mylog
        livenessProbe:
          failureThreshold: 3
          exec:
            command:
            - /pilot/healthz
          initialDelaySeconds: 10
          periodSeconds: 10
          successThreshold: 1
          timeoutSeconds: 2
        securityContext:
          capabilities:
            add:
            - SYS_ADMIN
      terminationGracePeriodSeconds: 30
      volumes:
      - name: sock
        hostPath:
          path: /var/run/docker.sock
      - name: root
        hostPath:
          path: /
      - name: varlib
        hostPath:
          path: /var/lib/filebeat
          type: DirectoryOrCreate
      - name: varlog
        hostPath:
          path: /var/log/filebeat
          type: DirectoryOrCreate
      - name: localtime
        hostPath:
          path: /etc/localtime
       ## to file need configure 3
#      - hostPath:
#          path: /tmp/mylog
#          type: ""
#        name: mylog
EOF

kubectl apply -f 04-log-pilot.yml



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    4.1 url配置

    节点加入hosts解析
    echo “192.168.1.100 kibana.boge.com” >> /etc/hosts

    5.配置kibana页面

    Managenment>index Patterns>Create index pattern

    #创建日志
    Create index pattern> index pattern(tomcat-access*)>Next step

    #创建时间
    Time Filter field name(@timestamp)>Create index pattern

    #查看日志展示
    Discover>tomcat-access*

    十、Prometheus监控

    1.导入离线包

    链接：https://pan.baidu.com/s/1DyMJPT8r_TUpI8Dr31SVew?pwd=m1bk 
提取码：m1bk


#导入上传tar包
sudo docker load -i alertmanager-v0.21.0.tar
sudo docker load -i grafana-7.3.4.tar
sudo docker load -i k8s-prometheus-adapter-v0.8.2.tar
sudo docker load -i kube-rbac-proxy-v0.8.0.tar
sudo docker load -i kube-state-metrics-v1.9.7.tar
sudo docker load -i node-exporter-v1.0.1.tar
sudo docker load -i prometheus-config-reloader-v0.43.2.tar
sudo docker load -i prometheus_demo_service.tar
sudo docker load -i prometheus-operator-v0.43.2.tar
sudo docker load -i prometheus-v2.22.1.tar

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    2.主节点创建

    
#解压下载的代码包
sudo unzip kube-prometheus-master.zip
sudo rm -f kube-prometheus-master.zip && cd kube-prometheus-master


#这里建议先看下有哪些镜像，便于在下载镜像快的节点上先收集好所有需要的离线docker镜像
find ./ -type f |xargs grep 'image: '|sort|uniq|awk '{print $3}'|grep ^[a-zA-Z]|grep -Evw 'error|kubeRbacProxy'|sort -rn|uniq


kubectl create -f manifests/setup
kubectl create -f manifests/



#过一会查看创建结果：
kubectl -n monitoring get all
 
 
 
# 附：清空上面部署的prometheus所有服务：
# kubectl delete --ignore-not-found=true -f manifests/ -f manifests/setup

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    3. 访问下prometheus的UI

    # 修改下prometheus UI的service模式，便于我们访问
kubectl -n monitoring patch svc prometheus-k8s -p '{"spec":{"type":"NodePort"}}'

# kubectl -n monitoring get svc prometheus-k8s 
NAME             TYPE       CLUSTER-IP    EXTERNAL-IP   PORT(S)          AGE
prometheus-k8s   NodePort   10.68.23.79   <none>        9090:22129/TCP   7m43s

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    3.1 修改用户权限

    #   kubectl edit clusterrole prometheus-k8s
#------ 原始的rules -------
rules:
- apiGroups:
  - ""
  resources:
  - nodes/metrics
  verbs:
  - get
- nonResourceURLs:
  - /metrics
  verbs:
  - get
#---------------------------

apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: prometheus-k8s
rules:
- apiGroups:
  - ""
  resources:
  - nodes
  - services
  - endpoints
  - pods
  - nodes/proxy
  verbs:
  - get
  - list
  - watch
- apiGroups:
  - ""
  resources:
  - configmaps
  - nodes/metrics
  verbs:
  - get
- nonResourceURLs:
  - /metrics
  verbs:
  - get

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    4. 监控ingress-nginx

    cat > servicemonitor.yaml <<EOF
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  labels:
    app: ingress-nginx
  name: nginx-ingress-scraping
  namespace: ingress-nginx
spec:
  endpoints:
  - interval: 30s
    path: /metrics
    port: metrics
  jobLabel: app
  namespaceSelector:
    matchNames:
    - ingress-nginx
  selector:
    matchLabels:
      app: ingress-nginx
EOF


kubectl apply -f servicemonitor.yaml


kubectl -n ingress-nginx get servicemonitors.monitoring.coreos.com

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    十一、安装kubesphere3.3

    官网参考文档

    https://kubesphere.com.cn/docs/v3.3/pluggable-components/alerting/

    1.部署kubesphere时需要默认 StorageClass

    kubectl edit sc nfs-boge

      metadata:
    annotations:
      storageclass.beta.kubernetes.io/is-default-class: "true"

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    2.下载yaml

    您的 Kubernetes 版本必须为：v1.20.x、v1.21.x、* v1.22.x、* v1.23.x 和 * v1.24.x。带星号的版本可能出现边缘节点部分功能不可用的情况。因此，如需使用边缘节点，推荐安装 v1.21.x。
wget https://github.com/kubesphere/ks-installer/releases/download/v3.3.0/kubesphere-installer.yaml
wget https://github.com/kubesphere/ks-installer/releases/download/v3.3.0/cluster-configuration.yaml


wget https://github.com/kubesphere/ks-installer/releases/download/v3.3.2/kubesphere-installer.yaml
wget https://github.com/kubesphere/ks-installer/releases/download/v3.3.2/cluster-configuration.yaml



#修改cluster-configuration.yaml
#将ectd下的 endpointIps改为你的master节点的私有IP地址。
#endpointIps: XX.X.X.X
  etcd:
    monitoring: true       # Enable or disable etcd monitoring dashboard installation. You have to create a Secret for etcd before you enable it.
    endpointIps: '192.168.1.220,192.168.1.221,192.168.1.222'


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    参考修改

    apiVersion: installer.kubesphere.io/v1alpha1
kind: ClusterConfiguration
metadata:
  name: ks-installer
  namespace: kubesphere-system
  labels:
    version: v3.1.1
spec:
  persistence:
    storageClass: ""        #这里保持默认即可，因为我们有了默认的存储类
  authentication:
    jwtSecret: ""           # Keep the jwtSecret consistent with the Host Cluster. Retrieve the jwtSecret by executing "kubectl -n kubesphere-system get cm kubesphere-config -o yaml | grep -v "apiVersion" | grep jwtSecret" on the Host Cluster.
  local_registry: ""        # Add your private registry address if it is needed.
  etcd:
    monitoring: true       # 改为"true"，表示开启etcd的监控功能
    endpointIps: 192.168.11.24  # 改为自己的master节点IP地址
    port: 2379              # etcd port.
    tlsEnable: true
  common:
    redis:
      enabled: true         #改为"true"，开启redis功能
    openldap:
      enabled: true         #改为"true"，开启轻量级目录协议
    minioVolumeSize: 20Gi # Minio PVC size.
    openldapVolumeSize: 2Gi   # openldap PVC size.
    redisVolumSize: 2Gi # Redis PVC size.
    monitoring:
      # type: external   # Whether to specify the external prometheus stack, and need to modify the endpoint at the next line.
      endpoint: http://prometheus-operated.kubesphere-monitoring-system.svc:9090 # Prometheus endpoint to get metrics data.
    es:   # Storage backend for logging, events and auditing.
      # elasticsearchMasterReplicas: 1   # The total number of master nodes. Even numbers are not allowed.
      # elasticsearchDataReplicas: 1     # The total number of data nodes.
      elasticsearchMasterVolumeSize: 4Gi   # The volume size of Elasticsearch master nodes.
      elasticsearchDataVolumeSize: 20Gi    # The volume size of Elasticsearch data nodes.
      logMaxAge: 7                     # Log retention time in built-in Elasticsearch. It is 7 days by default.
      elkPrefix: logstash              # The string making up index names. The index name will be formatted as ks--log.
      basicAuth:
        enabled: false
        username: ""
        password: ""
      externalElasticsearchUrl: ""
      externalElasticsearchPort: ""
  console:
    enableMultiLogin: true  # Enable or disable simultaneous logins. It allows different users to log in with the same account at the same time.
    port: 30880
  alerting:                # (CPU: 0.1 Core, Memory: 100 MiB) It enables users to customize alerting policies to send messages to receivers in time with different time intervals and alerting levels to choose from.
    enabled: true         # 改为"true"，开启告警功能
    # thanosruler:
    #   replicas: 1
    #   resources: {}
  auditing:                # Provide a security-relevant chronological set of records，recording the sequence of activities happening on the platform, initiated by different tenants.
    enabled: true         #  改为"true"，开启审计功能
  devops:                  # (CPU: 0.47 Core, Memory: 8.6 G) Provide an out-of-the-box CI/CD system based on Jenkins, and automated workflow tools including Source-to-Image & Binary-to-Image.
    enabled: true             # 改为"true"，开启DevOps功能
    jenkinsMemoryLim: 2Gi      # Jenkins memory limit.
    jenkinsMemoryReq: 1500Mi   # Jenkins memory request.
    jenkinsVolumeSize: 8Gi     # Jenkins volume size.
    jenkinsJavaOpts_Xms: 512m  # The following three fields are JVM parameters.
    jenkinsJavaOpts_Xmx: 512m
    jenkinsJavaOpts_MaxRAM: 2g
  events:                  # Provide a graphical web console for Kubernetes Events exporting, filtering and alerting in multi-tenant Kubernetes clusters.
    enabled: true         # 改为"true"，开启集群的事件功能
    ruler:
      enabled: true
      replicas: 2
  logging:                 # (CPU: 57 m, Memory: 2.76 G) Flexible logging functions are provided for log query, collection and management in a unified console. Additional log collectors can be added, such as Elasticsearch, Kafka and Fluentd.
    enabled: true        # 改为"true"，开启日志功能
    logsidecar:
      enabled: true
      replicas: 2
  metrics_server:                    # (CPU: 56 m, Memory: 44.35 MiB) It enables HPA (Horizontal Pod Autoscaler).
    enabled: false                   # 这个不用修改，因为在上面我们已经安装过了，如果这里开启，镜像是官方的，会拉取镜像失败
  monitoring:
    storageClass: ""                 # If there is an independent StorageClass you need for Prometheus, you can specify it here. The default StorageClass is used by default.
    # prometheusReplicas: 1          # Prometheus replicas are responsible for monitoring different segments of data source and providing high availability.
    prometheusMemoryRequest: 400Mi   # Prometheus request memory.
    prometheusVolumeSize: 20Gi       # Prometheus PVC size.
    # alertmanagerReplicas: 1          # AlertManager Replicas.
  multicluster:
    clusterRole: none  # host | member | none  # You can install a solo cluster, or specify it as the Host or Member Cluster.
  network:
    networkpolicy: # Network policies allow network isolation within the same cluster, which means firewalls can be set up between certain instances (Pods).
      # Make sure that the CNI network plugin used by the cluster supports NetworkPolicy. There are a number of CNI network plugins that support NetworkPolicy, including Calico, Cilium, Kube-router, Romana and Weave Net.
      enabled: true # 改为"true"，开启网络策略
    ippool: # Use Pod IP Pools to manage the Pod network address space. Pods to be created can be assigned IP addresses from a Pod IP Pool.
      type: none #如果你的网络插件是calico，需要修改为"calico"，这里我是Flannel，保持默认。
    topology: # Use Service Topology to view Service-to-Service communication based on Weave Scope.
      type: none # Specify "weave-scope" for this field to enable Service Topology. "none" means that Service Topology is disabled.
  openpitrix: # An App Store that is accessible to all platform tenants. You can use it to manage apps across their entire lifecycle.
    store:
      enabled: true # 改为"true"，开启应用商店
  servicemesh:         # (0.3 Core, 300 MiB) Provide fine-grained traffic management, observability and tracing, and visualized traffic topology.
    enabled: true     # 改为"true"，开启微服务治理
  kubeedge:          # Add edge nodes to your cluster and deploy workloads on edge nodes.
    enabled: false   # 这个就不修改了，这个是边缘服务，我们也没有边缘的设备。
    cloudCore:
      nodeSelector: {"node-role.kubernetes.io/worker": ""}
      tolerations: []
      cloudhubPort: "10000"
      cloudhubQuicPort: "10001"
      cloudhubHttpsPort: "10002"
      cloudstreamPort: "10003"
      tunnelPort: "10004"
      cloudHub:
        advertiseAddress: # At least a public IP address or an IP address which can be accessed by edge nodes must be provided.
          - ""            # Note that once KubeEdge is enabled, CloudCore will malfunction if the address is not provided.
        nodeLimit: "100"
      service:
        cloudhubNodePort: "30000"
        cloudhubQuicNodePort: "30001"
        cloudhubHttpsNodePort: "30002"
        cloudstreamNodePort: "30003"
        tunnelNodePort: "30004"
    edgeWatcher:
      nodeSelector: {"node-role.kubernetes.io/worker": ""}
      tolerations: []
      edgeWatcherAgent:
        nodeSelector: {"node-role.kubernetes.io/worker": ""}
        tolerations: []
        


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    3.运行yaml

    kubectl apply -f kubesphere-installer.yaml

kubectl apply -f cluster-configuration.yaml


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    4. 查看日志

    kubectl logs -n kubesphere-system $(kubectl get pod -n kubesphere-system -l 'app in (ks-install, ks-installer)' -o jsonpath='{.items[0].metadata.name}') -f


#访问任意机器的 30880端口
#账号 ： admin
#密码 ： P@88w0rd

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    5. 解决etcd监控证书找不到问题

    kubectl -n kubesphere-monitoring-system create secret generic kube-etcd-client-certs  \
--from-file=etcd-client-ca.crt=/etc/kubernetes/pki/etcd/ca.crt  \
--from-file=etcd-client.crt=/etc/kubernetes/pki/etcd/healthcheck-client.crt  \
--from-file=etcd-client.key=/etc/kubernetes/pki/etcd/healthcheck-client.key

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    6. 在安装后启用告警系统,

    在 cluster-configuration.yaml 文件中，搜索 alerting，将 enabled 的 false 更改为 true 以启用告警系统。完成后保存文件

    alerting:
  enabled: true # 将“false”更改为“true”。


#运行
kubectl apply -f kubesphere-installer.yaml

kubectl apply -f cluster-configuration.yaml

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    6.0 配置钉钉报警

    6.1 钉钉自定义机器配置

    添加自定义机器人，安全配置，勾选** 加签**

    6.2 操作步骤

    左上角>平台管理>平台设置>通知管理>通知配置>钉钉>群机器人配置
    开启-已启用
    填写自己的 Webhook URL
    填写自己的 密钥 （加签）
    发送测试信息
    确定

    查看钉钉群消息.是否发送成功？？？？？

    7. 在安装后启用应用商店，

    在该 YAML 文件中，搜索 openpitrix，将 enabled 的 false 改为 true。完成后，点击右下角的确定，保存配置。

    openpitrix:
  store:
    enabled: true # 将“false”更改为“true”。


#运行
kubectl apply -f kubesphere-installer.yaml

kubectl apply -f cluster-configuration.yaml

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    8.在安装后启用服务网格 istio

    在该配置文件中，搜索 servicemesh，并将 enabled 的 false 改为 true。完成后，点击右下角的确定，保存配置

    servicemesh:
enabled: true # 将“false”更改为“true”。
istio: # Customizing the istio installation configuration, refer to https://istio.io/latest/docs/setup/additional-setup/customize-installation/
  components:
    ingressGateways:
    - name: istio-ingressgateway # 将服务暴露至服务网格之外。默认不开启。
      enabled: false
    cni:
      enabled: false # 启用后，会在 Kubernetes pod 生命周期的网络设置阶段完成 Istio 网格的 pod 流量转发设置工作。

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    9.在安装前启用 DevOps

    在该 YAML 文件中，搜索 devops，将 enabled 的 false 改为 true。完成后，点击右下角的确定，保存配置。

    devops:
  enabled: true # 将“false”更改为“true”。

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    10. 卸载方法

    
kubectl delete -f cluster-configuration.yaml --force
kubectl delete -f kubesphere-installer.yaml --force

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    #删除残余文件
    vi del.sh

    #!/usr/bin/env bash
 
function delete_sure(){
  cat << eof
$(echo -e "\033[1;36mNote:\033[0m")
Delete the KubeSphere cluster, including the module kubesphere-system kubesphere-devops-system kubesphere-devops-worker kubesphere-monitoring-system kubesphere-logging-system openpitrix-system.
eof
 
read -p "Please reconfirm that you want to delete the KubeSphere cluster.  (yes/no) " ans
while [[ "x"$ans != "xyes" && "x"$ans != "xno" ]]; do
    read -p "Please reconfirm that you want to delete the KubeSphere cluster.  (yes/no) " ans
done
 
if [[ "x"$ans == "xno" ]]; then
    exit
fi
}
 
 
delete_sure
 
# delete ks-installer
kubectl delete deploy ks-installer -n kubesphere-system 2>/dev/null
 
# delete helm
for namespaces in kubesphere-system kubesphere-devops-system kubesphere-monitoring-system kubesphere-logging-system openpitrix-system kubesphere-monitoring-federated
do
  helm list -n $namespaces | grep -v NAME | awk '{print $1}' | sort -u | xargs -r -L1 helm uninstall -n $namespaces 2>/dev/null
done
 
# delete kubefed
kubectl get cc -n kubesphere-system ks-installer -o jsonpath="{.status.multicluster}" | grep enable
if [[ $? -eq 0 ]]; then
  # delete kubefed types resources
  for kubefed in `kubectl api-resources --namespaced=true --api-group=types.kubefed.io -o name`
  do
    kubectl delete -n kube-federation-system $kubefed --all 2>/dev/null
  done
  for kubefed in `kubectl api-resources --namespaced=false --api-group=types.kubefed.io -o name`
  do
    kubectl delete $kubefed --all 2>/dev/null
  done
  # delete kubefed core resouces
  for kubefed in `kubectl api-resources --namespaced=true --api-group=core.kubefed.io -o name`
  do
    kubectl delete -n kube-federation-system $kubefed --all 2>/dev/null
  done
  for kubefed in `kubectl api-resources --namespaced=false --api-group=core.kubefed.io -o name`
  do
    kubectl delete $kubefed --all 2>/dev/null
  done
  # uninstall kubefed chart
  helm uninstall -n kube-federation-system kubefed 2>/dev/null
fi
 
 
helm uninstall -n kube-system snapshot-controller 2>/dev/null
 
# delete kubesphere deployment & statefulset
kubectl delete deployment -n kubesphere-system `kubectl get deployment -n kubesphere-system -o jsonpath="{.items[*].metadata.name}"` 2>/dev/null
kubectl delete statefulset -n kubesphere-system `kubectl get statefulset -n kubesphere-system -o jsonpath="{.items[*].metadata.name}"` 2>/dev/null
 
# delete monitor resources
kubectl delete prometheus -n kubesphere-monitoring-system k8s 2>/dev/null
kubectl delete Alertmanager -n kubesphere-monitoring-system main 2>/dev/null
kubectl delete DaemonSet -n kubesphere-monitoring-system node-exporter 2>/dev/null
kubectl delete statefulset -n kubesphere-monitoring-system `kubectl get statefulset -n kubesphere-monitoring-system -o jsonpath="{.items[*].metadata.name}"` 2>/dev/null
 
# delete grafana
kubectl delete deployment -n kubesphere-monitoring-system grafana 2>/dev/null
kubectl --no-headers=true get pvc -n kubesphere-monitoring-system -o custom-columns=:metadata.namespace,:metadata.name | grep -E kubesphere-monitoring-system | xargs -n2 kubectl delete pvc -n 2>/dev/null
 
# delete pvc
pvcs="kubesphere-system|openpitrix-system|kubesphere-devops-system|kubesphere-logging-system"
kubectl --no-headers=true get pvc --all-namespaces -o custom-columns=:metadata.namespace,:metadata.name | grep -E $pvcs | xargs -n2 kubectl delete pvc -n 2>/dev/null
 
 
# delete rolebindings
delete_role_bindings() {
  for rolebinding in `kubectl -n $1 get rolebindings -l iam.kubesphere.io/user-ref -o jsonpath="{.items[*].metadata.name}"`
  do
    kubectl -n $1 delete rolebinding $rolebinding 2>/dev/null
  done
}
 
# delete roles
delete_roles() {
  kubectl -n $1 delete role admin 2>/dev/null
  kubectl -n $1 delete role operator 2>/dev/null
  kubectl -n $1 delete role viewer 2>/dev/null
  for role in `kubectl -n $1 get roles -l iam.kubesphere.io/role-template -o jsonpath="{.items[*].metadata.name}"`
  do
    kubectl -n $1 delete role $role 2>/dev/null
  done
}
 
# remove useless labels and finalizers
for ns in `kubectl get ns -o jsonpath="{.items[*].metadata.name}"`
do
  kubectl label ns $ns kubesphere.io/workspace-
  kubectl label ns $ns kubesphere.io/namespace-
  kubectl patch ns $ns -p '{"metadata":{"finalizers":null,"ownerReferences":null}}'
  delete_role_bindings $ns
  delete_roles $ns
done
 
# delete clusterroles
delete_cluster_roles() {
  for role in `kubectl get clusterrole -l iam.kubesphere.io/role-template -o jsonpath="{.items[*].metadata.name}"`
  do
    kubectl delete clusterrole $role 2>/dev/null
  done
 
  for role in `kubectl get clusterroles | grep "kubesphere" | awk '{print $1}'| paste -sd " "`
  do
    kubectl delete clusterrole $role 2>/dev/null
  done
}
delete_cluster_roles
 
# delete clusterrolebindings
delete_cluster_role_bindings() {
  for rolebinding in `kubectl get clusterrolebindings -l iam.kubesphere.io/role-template -o jsonpath="{.items[*].metadata.name}"`
  do
    kubectl delete clusterrolebindings $rolebinding 2>/dev/null
  done
 
  for rolebinding in `kubectl get clusterrolebindings | grep "kubesphere" | awk '{print $1}'| paste -sd " "`
  do
    kubectl delete clusterrolebindings $rolebinding 2>/dev/null
  done
}
delete_cluster_role_bindings
 
# delete clusters
for cluster in `kubectl get clusters -o jsonpath="{.items[*].metadata.name}"`
do
  kubectl patch cluster $cluster -p '{"metadata":{"finalizers":null}}' --type=merge
done
kubectl delete clusters --all 2>/dev/null
 
# delete workspaces
for ws in `kubectl get workspaces -o jsonpath="{.items[*].metadata.name}"`
do
  kubectl patch workspace $ws -p '{"metadata":{"finalizers":null}}' --type=merge
done
kubectl delete workspaces --all 2>/dev/null
 
# make DevOps CRs deletable
for devops_crd in $(kubectl get crd -o=jsonpath='{range .items[*]}{.metadata.name}{"\n"}{end}' | grep "devops.kubesphere.io"); do
    for ns in $(kubectl get ns -ojsonpath='{.items..metadata.name}'); do
        for devops_res in $(kubectl get $devops_crd -n $ns -oname); do
            kubectl patch $devops_res -n $ns -p '{"metadata":{"finalizers":[]}}' --type=merge
        done
    done
done
 
# delete validatingwebhookconfigurations
for webhook in ks-events-admission-validate users.iam.kubesphere.io network.kubesphere.io validating-webhook-configuration resourcesquotas.quota.kubesphere.io
do
  kubectl delete validatingwebhookconfigurations.admissionregistration.k8s.io $webhook 2>/dev/null
done
 
# delete mutatingwebhookconfigurations
for webhook in ks-events-admission-mutate logsidecar-injector-admission-mutate mutating-webhook-configuration
do
  kubectl delete mutatingwebhookconfigurations.admissionregistration.k8s.io $webhook 2>/dev/null
done
 
# delete users
for user in `kubectl get users -o jsonpath="{.items[*].metadata.name}"`
do
  kubectl patch user $user -p '{"metadata":{"finalizers":null}}' --type=merge
done
kubectl delete users --all 2>/dev/null
 
 
# delete helm resources
for resource_type in `echo helmcategories helmapplications helmapplicationversions helmrepos helmreleases`; do
  for resource_name in `kubectl get ${resource_type}.application.kubesphere.io -o jsonpath="{.items[*].metadata.name}"`; do
    kubectl patch ${resource_type}.application.kubesphere.io ${resource_name} -p '{"metadata":{"finalizers":null}}' --type=merge
  done
  kubectl delete ${resource_type}.application.kubesphere.io --all 2>/dev/null
done
 
# delete workspacetemplates
for workspacetemplate in `kubectl get workspacetemplates.tenant.kubesphere.io -o jsonpath="{.items[*].metadata.name}"`
do
  kubectl patch workspacetemplates.tenant.kubesphere.io $workspacetemplate -p '{"metadata":{"finalizers":null}}' --type=merge
done
kubectl delete workspacetemplates.tenant.kubesphere.io --all 2>/dev/null
 
# delete federatednamespaces in namespace kubesphere-monitoring-federated
for resource in $(kubectl get federatednamespaces.types.kubefed.io -n kubesphere-monitoring-federated -oname); do
  kubectl patch "${resource}" -p '{"metadata":{"finalizers":null}}' --type=merge -n kubesphere-monitoring-federated
done
 
# delete crds
for crd in `kubectl get crds -o jsonpath="{.items[*].metadata.name}"`
do
  if [[ $crd == *kubesphere.io ]] || [[ $crd == *kubefed.io ]] ; then kubectl delete crd $crd 2>/dev/null; fi
done
 
# delete relevance ns
for ns in kube-federation-system kubesphere-alerting-system kubesphere-controls-system kubesphere-devops-system kubesphere-devops-worker kubesphere-logging-system kubesphere-monitoring-system kubesphere-monitoring-federated openpitrix-system kubesphere-system
do
  kubectl delete ns $ns 2>/dev/null
done

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    #执行删除
    sh del.sh

    十二、 GitLab安装

    1. 单独准备服务器，采用Docker安装

    docker search gitlab
docker pull gitlab/gitlab-ce

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    2.准备docker-compose.yml文件

    
mkdir -p /data/git

vim /data/git/docker-compose.yml

version: '3.1'
services:
  gitlab:
    image: 'gitlab/gitlab-ce:latest'
    container_name: gitlab
    restart: always
    environment:
      GITLAB_OMNIBUS_CONFIG: |
        external_url 'http://10.1.100.225:8929'#自己安装git的服务器IP
        gitlab_rails['gitlab_shell_ssh_port'] = 2224
    ports:
      - '8929:8929'
      - '2224:2224'
    volumes:
      - './config:/etc/gitlab'
      - './logs:/var/log/gitlab'
      - './data:/var/opt/gitlab'

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    3.启动容器（需要稍等很久……）

    cd /data/git
docker-compose up -d

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    4.访问GitLab首页

    http://10.1.100.225:8929

    5.查看root用户初始密码

    docker exec -it gitlab cat /etc/gitlab/initial_root_password

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    6.第一次登录网页，需要修改密码 Password

    **右上角>>**Administrator>Preferences>Password

    十三、DevOps初始化环境

    1.linux系统 安装Jenkins、jdk 、maven

    1.下载地址

    JDK包下载地址
    https://www.oracle.com/java/technologies/downloads/

    MAven下载地址
    https://maven.apache.org/download.cgi

    2.安装jdk maven

    tar -zxvf jdk-8*.tar.gz -C /usr/local/
tar -zxvf apache-maven-*.tar.gz -C /usr/local/

cd /usr/local
mv apache-maven*/ maven
mv jdk1.8*/ jdk

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    2.1 编辑maven配置

    vim /usr/local/maven/conf/settings.xml

     
<!--#maven配置阿里云仓库,在160行插入-->
<mirror>
    <id>nexus-aliyun</id>
    <mirrorOf>central</mirrorOf>
    <name>Nexus aliyun</name>
    <url>http://maven.aliyun.com/nexus/content/groups/public</url>
</mirror>
 
 
<!--#maven配置jdk,在252行插入-->
<profile>    
     <id>jdk1.8</id>    
     <activation>    
         <activeByDefault>true</activeByDefault>    
         <jdk>1.8</jdk>    
    </activation>    
    <properties>    
    	<maven.compiler.source>1.8</maven.compiler.source>    
    	<maven.compiler.target>1.8</maven.compiler.target>    
        <maven.compiler.compilerVersion>1.8</maven.compiler.compilerVersion>    
    </properties>     
</profile> 
 
<!--#maven配置jdk,在257行插入-->
   <activeProfiles>
      <activeProfile>jdk1.8</activeProfile>
   </activeProfiles>

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    3.安装jenkins

    3.1 下载

    docker pull jenkins/jenkins:2.319.1-lts

    3.2 创建yaml

    mkdir -p /data/jenkins/
    cd /data/jenkins/
    vim /data/jenkins/docker-compose.yml

    version: "3.1"
services:
  jenkins:
    image: jenkins/jenkins
    container_name: jenkins
    ports:
      - 8080:8080
      - 50000:50000
    volumes:
      - ./data/:/var/jenkins_home/
      - /var/run/docker.sock:/var/run/docker.sock
      - /usr/bin/docker:/usr/bin/docker
      - /etc/docker/daemon.json:/etc/docker/daemon.json

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    3.3 启动jenkins
     
#修改Jenkins用户权限
cd /var/run
 
chown root:root docker.sock
 
#其他用户有读和写权限
chmod o+rw docker.sock
 
 
cd /data/jenkins/
docker-compose up -d
 
#授权
chmod 777 /data/jenkins/data/
 
cat /data/jenkins/data/hudson.model.UpdateCenter.xml
#重新启动Jenkins容器后，由于Jenkins需要下载大量内容，但是由于默认下载地址下载速度较慢，
#需要重新设置下载地址为国内镜像站# 清华大学的插件源也可以
# 修改数据卷中的hudson.model.UpdateCenter.xml文件
# 将下载地址替换为http://mirror.esuni.jp/jenkins/updates/update-center.json
 
# 清华大学的插件源也可以
#https://mirrors.tuna.tsinghua.edu.cn/jenkins/updates/update-center.json
 
#重启
docker-compose restart
 
#查看日志
docker logs -f jenkins

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    3.4 访问页面，安装插件

    http://10.1.100.225:8080
    1.输入密码2.选择插件来安装3.点击安装

    4.jenkins插件安装

    中文界面>系统管理>插件管理>可选插件>搜索插件
英文界面> Manage Jenkins–Manage Plugins-Available>搜索插件
Locale
Localization
Git Parameter
Publish Over SSH

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    5. 配置jenkins

    mv /usr/local/maven/ /data/jenkins/data/
    mv /usr/local/jdk/ /data/jenkins/data/

    5.1 加载本地jdk

    Dashboard>系统管理>全局工具配置>Add JDK>去掉对钩 （√）自动安装
    NAME

    jdk8

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    JAVA_HOME

    /var/jenkins_home/jdk/

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    5.1 加载本地maven

    Dashboard>系统管理>全局工具配置>Add Maven>去掉对钩 （√）自动安装
    NAME

    maven

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    JAVA_HOME

    /var/jenkins_home/maven/

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    Save Apply
    保存 应用

    运行mvn测试
    mvn help:system

    3.jenkins拉取测试

    系统管理>系统配置>Publish over SSH>SSH Servers>Add

    #自定义项目名称
    name

    test

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    #主机IP
    Hostname

    10.1.100.25

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    #主机用户名
    Username

    root

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    #拉取项目路径
    Remote Directory

    /data/work/mytest

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    点击高级
    √ Use password authentication, or use a different key

    #输入服务器密码
    Passphrase / Password

    xxxx

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    #点击 测试

    Test Configuration


Save Apply
保存 应用

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    4.Jenkins服务器设置免密登入k8s-mast服务器

    #Jenkins服务器-进入jenkins容器
    docker exec -it jenkins bash

    #进入jenkins容器-生成免密登录公私钥,根据提示按回车
    ssh-keygen -t rsa

    #进入jenkins容器-查看jenkins 秘钥
    cat /var/jenkins_home/.ssh/id_rsa.pub

    #k8s-mast服务器中authorized_keys 加入Jenkins服务器秘钥
    echo “xxxxxx” >> /root/.ssh/authorized_keys

    十四、开发环境部署IDEA

    工具下载:

    链接：https://pan.baidu.com/s/1Jkyh_kgrT2o388Xiujbdeg?pwd=b7rx
    提取码：b7rx

    1. windows配置maven 和jdk

    https://blog.csdn.net/weixin_46565024/article/details/122758111

    2. IDEA简单得项目创建

    File>New>Project

Spring Initializr>Next

Type(选择Maven)>Java Version (选择8) > Next

Web> 勾选√Spring Web> Next>Finish

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    创建项目报错:Error：java：无效的源发行版：12

    解决方法:https://www.cnblogs.com/bJydsJ/p/16699429.html

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  • 原文地址：https://blog.csdn.net/qq_35583325/article/details/132719033