k8s 部署手册 - v04

1. 修改主机名

1.hostnamectl set-hostname k8s-master01
2.hostnamectl set-hostname k8s-master02
3.hostnamectl set-hostname k8s-master03
4.hostnamectl set-hostname k8s-node01
5.hostnamectl set-hostname k8s-node02

2. 添加 主机名与 IP 地址解析

cat > /etc/hosts <<EOF127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4::1 localhost localhost.localdomain localhost6 localhost6.localdomain6192.168.1.62 lookup apiserver.cluster.local192.168.1.60 k8s-master01192.168.1.61 k8s-master02192.168.1.62 k8s-master03192.168.1.63 k8s-node01192.168.1.64 k8s-node02EOF

3. 升级服务器内核，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 <<EOFnameserver 114.114.114.114nameserver 8.8.8.8EOFcat /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/bakcurl -o /etc/yum.repos.d/CentOS-7.repo http://mirrors.aliyun.com/repo/Centos-7.repoyum clean all && yum makecachecd /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#安装依赖包yum -y install vim net-tools lrzsz unzip gcc telnet wget sshpass ntpdate ntp curlyum -y install conntrack ipvsadm ipset jq 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 firewalldyum -y install iptables-services  &&  systemctl  start iptables  &&  systemctl  enable iptables  &&  iptables -F  &&  service iptables save#关闭 SELINUXswapoff -a && sed -i '/ swap / s/^(.*)$/#1/g' /etc/fstabsetenforce 0 && sed -i 's/^SELINUX=.*/SELINUX=disabled/' /etc/selinux/config#调整内核参数，对于 K8Scat > /etc/sysctl.d/kubernetes.conf <<EOFnet.bridge.bridge-nf-call-iptables=1net.bridge.bridge-nf-call-ip6tables=1net.ipv4.ip_forward=1#net.ipv4.tcp_tw_recycle=0vm.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=8192fs.inotify.max_user_watches=1048576fs.file-max=52706963fs.nr_open=52706963net.ipv6.conf.all.disable_ipv6=1net.netfilter.nf_conntrack_max=2310720EOFmodprobe 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

4. 升级内核，重启服务器

rpm --import https://www.elrepo.org/RPM-GPG-KEY-elrepo.org
 yum -y install https://www.elrepo.org/elrepo-release-7.0-4.el7.elrepo.noarch.rpm
 yum --enablerepo="elrepo-kernel" -y install kernel-lt.x86_64
 
awk -F ' '$1=="menuentry " {print i++ " : " $2}' /etc/grub2.cfg
grub2-set-default "CentOS Linux (5.4.225-1.el7.elrepo.x86_64) 7 (Core)"#grub2-set-default 'CentOS Linux (4.4.222-1.el7.elrepo.x86_64) 7 (Core)'
#重启服务器
reboot
################################

1. 安装 sealos3.3

#添加访问互联路由cat > /etc/resolv.conf <<EOFnameserver 8.8.8.8nameserver 114.114.114.114nameserver 223.5.5.5EOF
 cat /etc/resolv.conf #时间同步ntpdate ntp1.aliyun.com
 
 wget -c https://github.com/fanux/sealos/releases/download/v3.3.8/sealostar zxvf sealos*.tar.gz sealos && chmod +x sealos && mv sealos /usr/binsealos version#时间同步ntpdate ntp1.aliyun.com

2. 离线安装 k8s 1.19

链接：https://pan.baidu.com/s/1F9sZoHBX1K1ihBP9rZSHBQ?pwd=jood 提取码：jood#安装sealos init --passwd 1qaz@WSX 
	--master 192.168.1.60 
	--master 192.168.1.61 
	--master 192.168.1.62 
	--node 192.168.1.63 
	--node 192.168.1.64 
	--pkg-url /root/kube1.19.16.tar.gz 
	--version v1.19.16

3. 验证集群

kubectl get nodes
 kubectl get pod -A 
 
 #配置kubectl自动补全yum install -y bash-completionsource /usr/share/bash-completion/bash_completionsource <(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-

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mastersealos 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

5. 安装 top 命令

cat > /root/top.yaml <<EOFapiVersion: v1kind: ServiceAccountmetadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server
  namespace: kube-system---apiVersion: rbac.authorization.k8s.io/v1kind: ClusterRolemetadata:
  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-readerrules:- apiGroups:
  - metrics.k8s.io
  resources:
  - pods
  - nodes
  verbs:
  - get
  - list
  - watch---apiVersion: rbac.authorization.k8s.io/v1kind: ClusterRolemetadata:
  labels:
    k8s-app: metrics-server
  name: system:metrics-serverrules:- apiGroups:
  - ""
  resources:
  - pods
  - nodes
  - nodes/stats
  - namespaces
  - configmaps
  verbs:
  - get
  - list
  - watch---apiVersion: rbac.authorization.k8s.io/v1kind: RoleBindingmetadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server-auth-reader
  namespace: kube-systemroleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: Role
  name: extension-apiserver-authentication-readersubjects:- kind: ServiceAccount
  name: metrics-server
  namespace: kube-system---apiVersion: rbac.authorization.k8s.io/v1kind: ClusterRoleBindingmetadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server:system:auth-delegatorroleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: system:auth-delegatorsubjects:- kind: ServiceAccount
  name: metrics-server
  namespace: kube-system---apiVersion: rbac.authorization.k8s.io/v1kind: ClusterRoleBindingmetadata:
  labels:
    k8s-app: metrics-server
  name: system:metrics-serverroleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: system:metrics-serversubjects:- kind: ServiceAccount
  name: metrics-server
  namespace: kube-system---apiVersion: v1kind: Servicemetadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server
  namespace: kube-systemspec:
  ports:
  - name: https
    port: 443
    protocol: TCP
    targetPort: https
  selector:
    k8s-app: metrics-server---apiVersion: apps/v1kind: Deploymentmetadata:
  labels:
    k8s-app: metrics-server
  name: metrics-server
  namespace: kube-systemspec:
  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/v1kind: APIServicemetadata:
  labels:
    k8s-app: metrics-server
  name: v1beta1.metrics.k8s.iospec:
  group: metrics.k8s.io
  groupPriorityMinimum: 100
  insecureSkipTLSVerify: true
  service:
    name: metrics-server
    namespace: kube-system
  version: v1beta1
  versionPriority: 100EOFkubectl apply -f /root/top.yaml

1. 服务端

#添加访问互联路由cat > /etc/resolv.conf <<EOFnameserver 114.114.114.114nameserver 8.8.8.8EOF# 我们这里在192.168.1.60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_dirchown 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.servicesystemctl restart nfs-utils.service systemctl restart nfs-server.service  # 增加NFS-SERVER开机自启动systemctl enable  rpcbind.servicesystemctl enable  nfs-utils.service systemctl enable  nfs-server.service  # 验证NFS-SERVER是否能正常访问#showmount -e 192.168.1.60               
 

2. 客户端

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

1. 创建 nfs-sc.yaml

cat > /root/nfs-sc.yaml <<EOFapiVersion: v1kind: ServiceAccountmetadata:
  name: nfs-client-provisioner
  namespace: kube-system
 ---kind: ClusterRoleapiVersion: rbac.authorization.k8s.io/v1metadata:
  name: nfs-client-provisioner-runnerrules:
  - 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: ClusterRoleBindingapiVersion: rbac.authorization.k8s.io/v1metadata:
  name: run-nfs-client-provisionersubjects:
  - kind: ServiceAccount
    name: nfs-client-provisioner
    namespace: kube-system roleRef:
  kind: ClusterRole
  name: nfs-client-provisioner-runner
  apiGroup: rbac.authorization.k8s.io
 ---kind: DeploymentapiVersion: apps/v1metadata:
  name: nfs-provisioner-01
  namespace: kube-systemspec:
  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: 192.168.1.60   # 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: 192.168.1.60   # 填入NFS的地址
            path: /nfs_dir   # 填入NFS挂载的目录
 ---apiVersion: storage.k8s.io/v1kind: StorageClassmetadata:name: nfs-bogeprovisioner: nfs-provisioner-01# Supported policies: Delete、 Retain ， default is DeletereclaimPolicy: RetainEOF#创建kubectl apply -f /root/nfs-sc.yaml#查看kubectl -n kube-system get podkubectl get sc

1. 安装

 #目录/root上传文件docker-compose和harbor-offline-installer-v1.2.0.tgzmv /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
 
sed -i 's/hostname: reg.mydomain.com/hostname: 192.168.1.77/g' harbor.yml
sed -i 's/https/#https/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
{    "registry-mirrors": ["https://nr240upq.mirror.aliyuncs.com", "https://registry.docker-cn.com", "https://docker.mirrors.ustc.edu.cn", "https://dockerhub.azk8s.cn", "http://hub-mirror.c.163.com"],    "exec-opts": ["native.cgroupdriver=systemd"],    "log-driver": "json-file",    "log-opts": {        "max-size": "100m"
    },    "insecure-registries": ["192.168.1.77:80"]
}
 
 
 
systemctl daemon-reload && systemctl restart docker 
 
#安装./install.sh 
 
## 重启harborcd /usr/local/harbor/
docker-compose down -v
docker-compose up -d
docker ps|grep harbor
netstat -ntlp

2. 需要访问仓库的其他节点的 daemon.json 添加如下内容

##-------------------vim /etc/docker/daemon.json     "registry-mirrors": ["https://nr240upq.mirror.aliyuncs.com", "https://registry.docker-cn.com", "https://docker.mirrors.ustc.edu.cn", "https://dockerhub.azk8s.cn"],    "insecure-registries": ["192.168.1.77:80"], 
##-------------------#重启systemctl daemon-reload && systemctl restart docker

3. 节点使用仓库

 #登入仓库网站
 docker login -u admin -p Harbor12345 192.168.1.77:80
 #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:1.9.1 192.168.1.77:80/library/nginx:1.9.1
 #镜像上传docker push 192.168.1.77:80/library/nginx:1.9.1
 #删除镜像docker rmi 192.168.1.77:80/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

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":"$2}' > 01-image-old.txt && cat 01-image-old.txt# /换成-rm -rf  02-image-sed.txt && cp 01-image-old.txt 02-image-sed.txt && sed -i  "s|/|-|g" 02-image-sed.txt  && cat /root/02-image-sed.txt#打标签harbor仓库vim /root/03-tar-image.sh######################################################!/bin/shold=/root/01-image-old.txt
new=/root/02-image-sed.txt
l=$(cat /root/01-image-old.txt| wc -l)for ((i=1 ; i<=$l ; i++))doa=$(sed -n "$i"p $old)
b=$(sed -n "$i"p $new)#echo "update xxxx  set uid='$a' where uid='$b';"docker tag $a 192.168.1.77:80/library/$bdone######################################################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 192.168.1.77 | 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; donedocker images |grep library#删除创建的文件rm -rf /root/0*txt  03-tar-image.sh

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1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

3. 执行

kubectl create -f kuboard-v3.yaml

kubectl get pod -n kuboard#############################################访问http://192.168.1.60:30080/
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

1.helm 包下载地址

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

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

3. 配置仓库

#添加公用的仓库helm repo add incubator https://charts.helm.sh/incubatorhelm 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/chartshelm repo add stable   https://kubernetes.oss-cn-hangzhou.aliyuncs.com/chartshelm repo add google  https://kubernetes-charts.storage.googleapis.comhelm 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

1. 部署阿里云 ingress

mkdir -p /data/k8s/cd /data/k8s/
 cat > /data/k8s/aliyun-ingress-nginx.yaml <<EOFapiVersion: v1kind: Namespacemetadata:
  name: ingress-nginx
  labels:
    app: ingress-nginx---apiVersion: v1kind: ServiceAccountmetadata:
  name: nginx-ingress-controller
  namespace: ingress-nginx
  labels:
    app: ingress-nginx---apiVersion: rbac.authorization.k8s.io/v1beta1kind: ClusterRolemetadata:
  name: nginx-ingress-controller
  labels:
    app: ingress-nginxrules:
  - 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/v1beta1kind: ClusterRoleBindingmetadata:
  name: nginx-ingress-controller
  labels:
    app: ingress-nginxroleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: nginx-ingress-controllersubjects:
  - kind: ServiceAccount
    name: nginx-ingress-controller
    namespace: ingress-nginx---apiVersion: v1kind: Servicemetadata:
  labels:
    app: ingress-nginx
  name: nginx-ingress-lb
  namespace: ingress-nginxspec:
  # 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: ConfigMapapiVersion: v1metadata:
  name: nginx-configuration
  namespace: ingress-nginx
  labels:
    app: ingress-nginxdata:
  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: ConfigMapapiVersion: v1metadata:
  name: tcp-services
  namespace: ingress-nginx
  labels:
    app: ingress-nginx---kind: ConfigMapapiVersion: v1metadata:
  name: udp-services
  namespace: ingress-nginx
  labels:
    app: ingress-nginx---apiVersion: apps/v1kind: DaemonSetmetadata:
  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
          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: Always
        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: LoadBalancerEOF

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

2. 节点打标签

#允许节点打标签kubectl label node k8s-master01  boge/ingress-controller-ready=truekubectl label node k8s-master02  boge/ingress-controller-ready=truekubectl label node k8s-master03  boge/ingress-controller-ready=true#删除标签#kubectl label node k8s-master01  boge/ingress-controller-ready=true --overwrite#kubectl label node k8s-master02  boge/ingress-controller-ready=true --overwrite#kubectl label node k8s-master03  boge/ingress-controller-ready=true --overwrite

3.haproxy+keepalived 部署

yum install haproxy keepalived -y#重启程序systemctl restart haproxy.servicesystemctl restart keepalived.service# 查看运行状态systemctl status haproxy.service systemctl status keepalived.service#开机自启动systemctl  enable keepalived.servicesystemctl  enable haproxy.service

vim /etc/haproxy/haproxy.cfg###################################################listen ingress-http
        bind 0.0.0.0:80
        mode tcp
        option tcplog
        option dontlognull
        option dontlog-normal
        balance roundrobin
        server 192.168.1.60 192.168.1.60:80 check inter 2000 fall 2 rise 2 weight 1
        server 192.168.1.61 192.168.1.61:80 check inter 2000 fall 2 rise 2 weight 1
        server 192.168.1.62 192.168.1.62:80 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 192.168.1.60 192.168.1.60:443 check inter 2000 fall 2 rise 2 weight 1
        server 192.168.1.61 192.168.1.61:443 check inter 2000 fall 2 rise 2 weight 1
        server 192.168.1.62 192.168.1.62:443 check inter 2000 fall 2 rise 2 weight 1

cat > /etc/keepalived/keepalived.conf <<EOFglobal_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
    unicast_src_ip 192.168.1.63	  	#本机ip
    unicast_peer {
        192.168.1.64  				#另一台机器ip
    }
    dont_track_primary
    interface ens33  				# 注意这里的网卡名称修改成你机器真实的内网网卡名称，可用命令ip addr查看
    virtual_router_id 111
    advert_int 3
    track_script {
        check-haproxy
    }
    virtual_ipaddress {
        192.168.1.100 				#vip  地址
    }}EOF

cat > /etc/keepalived/keepalived.conf <<EOFglobal_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
    unicast_src_ip 192.168.1.64	  	#本机ip
    unicast_peer {
        192.168.1.63  				#另一台机器ip
    }
    dont_track_primary
    interface ens33  				# 注意这里的网卡名称修改成你机器真实的内网网卡名称，可用命令ip addr查看
    virtual_router_id 111
    advert_int 3
    track_script {
        check-haproxy
    }
    virtual_ipaddress {
        192.168.1.100 				#vip  地址
    }}EOF

#重启程序systemctl restart haproxy.servicesystemctl restart keepalived.service# 查看运行状态systemctl status haproxy.service systemctl status keepalived.service

4. 部署 nginx-ingress

cat > /root/nginx-ingress.yaml <<EOFapiVersion: v1kind: Servicemetadata:
  namespace: test
  name: nginx
  labels:
    app: nginxspec:
  ports:
    - port: 80
      protocol: TCP
      targetPort: 80
  selector:
    app: nginx---apiVersion: apps/v1kind: Deploymentmetadata:
  namespace: test
  name: nginx
  labels:
    app: nginxspec:
  replicas: 1
  selector:
    matchLabels:
      app: nginx
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
        - name: nginx
          image: nginx
          ports:
            - containerPort: 80---apiVersion: extensions/v1beta1kind: Ingressmetadata:
  namespace: test
  name: nginx-ingressspec:
  rules:
    - host: nginx.boge.com
      http:
        paths:
          - backend:
              serviceName: nginx
              servicePort: 80
            path: /EOF

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20.6.1.226 nginx.boge.com#测试curl nginx.boge.com  

1. 创建测试 tomcat

cat > 01-tomcat-test.yaml <<EOFapiVersion: apps/v1kind: Deploymentmetadata:
  labels:
    app: tomcat
  name: tomcatspec:
  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: {}EOFkubectl apply -f 01-tomcat-test.yaml

2. 部署 elasticsearch

cat > 02-elasticsearch.6.8.13-statefulset.yaml <<EOFapiVersion: apps/v1kind: StatefulSetmetadata:
  labels:
    addonmanager.kubernetes.io/mode: Reconcile
    k8s-app: elasticsearch-logging
    version: v6.8.13
  name: elasticsearch-logging
  namespace: loggingspec:
  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: v1kind: Servicemetadata:
  labels:
    k8s-app: elasticsearch-logging
  name: elasticsearch
  namespace: loggingspec:
  ports:
  - port: 9200
    protocol: TCP
    targetPort: db
  selector:
    k8s-app: elasticsearch-logging
  type: ClusterIP
  
  
  
  
  kubectl apply -f 02-elasticsearch.6.8.13-statefulset.yaml

3. 部署 kibana

cat > 03-kibana.6.8.13.yaml <<EOFapiVersion: apps/v1kind: Deploymentmetadata:
  name: kibana
  namespace: logging
  labels:
    app: kibanaspec:
  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: v1kind: Servicemetadata:
  name: kibana
  namespace: logging
  labels:
    app: kibanaspec:
  ports:
  - port: 5601
    protocol: TCP
    targetPort: 5601
  type: ClusterIP
  selector:
    app: kibana---apiVersion: extensions/v1beta1kind: Ingressmetadata:
  name: kibana
  namespace: loggingspec:
  rules:
  - host: kibana.boge.com
    http:
      paths:
      - path: /
        backend:
          serviceName: kibana
          servicePort: 5601kubectl apply -f 03-kibana.6.8.13.yaml

4. 部署 log-pilot

cat > 04-log-pilot.yml <<EOFapiVersion: apps/v1kind: DaemonSetmetadata:
  name: log-pilot
  namespace: logging
  labels:
    app: log-pilot
  # 设置期望部署的namespacespec:
  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: mylogkubectl apply -f 04-log-pilot.yml

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*
————————————————
版权声明：本文为CSDN博主「大虾别跑」的原创文章，遵循CC 4.0 BY-SA版权协议，转载请附上原文出处链接及本声明。
原文链接：https://blog.csdn.net/qq_35583325/article/details/128172276

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

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

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"}}'service/prometheus-k8s patched 
# 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

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

4. 监控 ingress-nginx

cat > servicemonitor.yaml <<EOFapiVersion: monitoring.coreos.com/v1kind: ServiceMonitormetadata:
  labels:
    app: ingress-nginx
  name: nginx-ingress-scraping
  namespace: ingress-nginxspec:
  endpoints:
  - interval: 30s
    path: /metrics
    port: metrics
  jobLabel: app
  namespaceSelector:
    matchNames:
    - ingress-nginx
  selector:
    matchLabels:
      app: ingress-nginxEOFkubectl apply -f servicemonitor.yamlkubectl -n ingress-nginx get servicemonitors.monitoring.coreos.com

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"

2. 下载 yaml

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#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

3. 运行 yaml

kubectl apply -f kubesphere-installer.yamlkubectl apply -f cluster-configuration.yaml

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

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

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.yamlkubectl apply -f cluster-configuration.yaml

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.yamlkubectl apply -f cluster-configuration.yaml

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。

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”。

10. 卸载方法

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

#删除残余文件
vi del.sh

#!/usr/bin/env bash
 function delete_sure(){
  cat << eof$(echo -e "33[1;36mNote:33[0m")
Delete the KubeSphere cluster, including the module kubesphere-system kubesphere-devops-system kubesphere-devops-worker kubesphere-monitoring-system kubesphere-logging-system openpitrix-system.eof
 read -p "Please reconfirm that you want to delete the KubeSphere cluster.  (yes/no) " answhile [[ "x"$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    exitfi
}
 
 
delete_sure 
# delete ks-installerkubectl delete deploy ks-installer -n kubesphere-system 2>/dev/null
 # delete helmfor namespaces in kubesphere-system kubesphere-devops-system kubesphere-monitoring-system kubesphere-logging-system openpitrix-system kubesphere-monitoring-federateddo
  helm list -n $namespaces | grep -v NAME | awk '{print $1}' | sort -u | xargs -r -L1 helm uninstall -n $namespaces 2>/dev/nulldone 
# delete kubefedkubectl get cc -n kubesphere-system ks-installer -o jsonpath="{.status.multicluster}" | grep enableif [[ $? -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/nullfi
 
 
helm uninstall -n kube-system snapshot-controller 2>/dev/null
 # delete kubesphere deployment & statefulsetkubectl delete deployment -n kubesphere-system `kubectl get deployment -n kubesphere-system -o jsonpath="{.items[*].metadata.name}"` 2>/dev/nullkubectl delete statefulset -n kubesphere-system `kubectl get statefulset -n kubesphere-system -o jsonpath="{.items[*].metadata.name}"` 2>/dev/null
 # delete monitor resourceskubectl delete prometheus -n kubesphere-monitoring-system k8s 2>/dev/nullkubectl delete Alertmanager -n kubesphere-monitoring-system main 2>/dev/nullkubectl delete DaemonSet -n kubesphere-monitoring-system node-exporter 2>/dev/nullkubectl delete statefulset -n kubesphere-monitoring-system `kubectl get statefulset -n kubesphere-monitoring-system -o jsonpath="{.items[*].metadata.name}"` 2>/dev/null
 # delete grafanakubectl delete deployment -n kubesphere-monitoring-system grafana 2>/dev/nullkubectl --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 pvcpvcs="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 rolebindingsdelete_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 rolesdelete_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 finalizersfor 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 clusterrolesdelete_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 clusterrolebindingsdelete_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 clustersfor 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 workspacesfor 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 deletablefor 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 validatingwebhookconfigurationsfor webhook in ks-events-admission-validate users.iam.kubesphere.io network.kubesphere.io validating-webhook-configuration resourcesquotas.quota.kubesphere.iodo
  kubectl delete validatingwebhookconfigurations.admissionregistration.k8s.io $webhook 2>/dev/nulldone 
# delete mutatingwebhookconfigurationsfor webhook in ks-events-admission-mutate logsidecar-injector-admission-mutate mutating-webhook-configurationdo
  kubectl delete mutatingwebhookconfigurations.admissionregistration.k8s.io $webhook 2>/dev/nulldone 
# delete usersfor 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 resourcesfor 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/nulldone 
# delete workspacetemplatesfor 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-federatedfor 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 crdsfor 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 nsfor 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-systemdo
  kubectl delete ns $ns 2>/dev/nulldone

#执行删除
sh del.sh

1. 单独准备服务器，采用 Docker 安装

docker search gitlabdocker pull gitlab/gitlab-ce

2. 准备 docker-compose.yml 文件

mkdir -p /data/gitvim /data/git/docker-compose.ymlversion: '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'

3. 启动容器（需要稍等很久……）

cd /data/gitdocker-compose up -d

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

6. 第一次登录网页，需要修改密码 Password

** 右上角 >>**

Administrator>Preferences>Password

1.linux 系统 安装 Jenkins、jdk 、maven

1. 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/localmv apache-maven*/ mavenmv jdk1.8*/ jdk

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

 <mirror>
    <id>nexus-aliyun</id>
    <mirrorOf>central</mirrorOf>
    <name>Nexus aliyun</name>
    <url>http://maven.aliyun.com/nexus/content/groups/public</url></mirror>
 
 <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> 
 
   <activeProfiles>
      <activeProfile>jdk1.8</activeProfile>
   </activeProfiles>
 

3. 安装 jenkins

docker pull jenkins/jenkins:2.319.1-lts

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

 #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

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LocaleLocalizationGit ParameterPublish Over SSH

5. 配置 jenkins

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

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

jdk8

JAVA_HOME

/var/jenkins_home/jdk/

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

maven

JAVA_HOME

/var/jenkins_home/maven/

Save Apply
保存 应用

运行 mvn 测试
mvn help:system

6.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

#主机 IP
Hostname

10.1.100.25

#主机用户名
Username

root

#拉取项目路径
Remote Directory

/data/work/mytest

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

#输入服务器密码
Passphrase / Password

xxxx

#点击 测试

Test ConfigurationSave Apply保存 应用

7.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 服务器密钥
echo “xxxxxx” >> /root/.ssh/authorized_keys

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 简单的项目创建

File>New>ProjectSpring Initializr>NextType(选择Maven)>Java Version (选择8) > NextWeb> 勾选√Spring Web> Next>Finish