k8s部署手册-v04

2023-01-06 1123

一、基础配置

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 <<EOF
127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4
::1 localhost localhost.localdomain localhost6 localhost6.localdomain6

192.168.1.62 lookup apiserver.cluster.local
192.168.1.60 k8s-master01
192.168.1.61 k8s-master02
192.168.1.62 k8s-master03
192.168.1.63 k8s-node01
192.168.1.64 k8s-node02
EOF

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 <<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

#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 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 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

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

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 sealos && chmod +x sealos && mv sealos /usr/bin

sealos 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-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-

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

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

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192.168.1.60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_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 192.168.1.60

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 192.168.1.60:/nfs_dir /nfs_dir

#添加开机挂载
echo "mount 192.168.1.60:/nfs_dir /nfs_dir" >> /etc/rc.local

cat /etc/rc.local

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: 192.168.1.60   # 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/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

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
 
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harbor
cd /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/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 $a 192.168.1.77:80/library/$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 192.168.1.77 | 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; done
docker images |grep library

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

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

七、helm3安装

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/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

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
          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: LoadBalancer
EOF

 

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=true
kubectl label node k8s-master02  boge/ingress-controller-ready=true
kubectl 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

3.0 部署

yum install haproxy keepalived -y

#重启程序
systemctl restart haproxy.service
systemctl 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.service
systemctl  enable haproxy.service

3.1 修改配置haproxy

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

3.2 A机器修改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
    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

3.3 B机器修改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
    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

3.4 重启


#重启程序
systemctl restart haproxy.service
systemctl 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 <<EOF
apiVersion: v1
kind: Service
metadata:
  namespace: test
  name: nginx
  labels:
    app: nginx
spec:
  ports:
    - port: 80
      protocol: TCP
      targetPort: 80
  selector:
    app: nginx
---
apiVersion: apps/v1
kind: Deployment
metadata:
  namespace: test
  name: nginx
  labels:
    app: nginx
spec:
  replicas: 1
  selector:
    matchLabels:
      app: nginx
  template:
    metadata:
      labels:
        app: nginx
    spec:
      containers:
        - name: nginx
          image: nginx
          ports:
            - containerPort: 80
---
apiVersion: extensions/v1beta1
kind: Ingress
metadata:
  namespace: test
  name: nginx-ingress
spec:
  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

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

2.部署elasticsearch

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

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



kubectl apply -f 03-kibana.6.8.13.yaml

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


kubectl 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

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

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 <<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

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"

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.yaml

kubectl 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.yaml

kubectl 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.yaml

kubectl 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 --force
kubectl 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 "\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

#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

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'

3.启动容器（需要稍等很久……）

cd /data/git
docker-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

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

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>

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

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

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

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

JAVA_HOME

/var/jenkins_home/jdk/

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

JAVA_HOME

/var/jenkins_home/maven/

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

#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 Configuration


Save Apply
保存 应用

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

原文作者：「大虾别跑」
原文链接：https://blog.csdn.net/qq_35583325/article/details/128172276

关注公众号【OSC DevOps】阅读更多精彩文章。

扫码添加【开源中国源创君】微信，稍后邀请您进入DevOps学习交流群。

微信关注我们

原文链接：https://my.oschina.net/u/6148787/blog/5889769

转载内容版权归作者及来源网站所有！

低调大师中文资讯倾力打造互联网数据资讯、行业资源、电子商务、移动互联网、网络营销平台。持续更新报道IT业界、互联网、市场资讯、驱动更新,是最及时权威的产业资讯及硬件资讯报道平台。

openGauss易知易会的几个实用特性

本文将介绍几个简单易用的数据库特性。单列显示整行数据 where比较列合并独立写布尔列 using关键字 domain 单列显示整行数据首先我们准备测试数据表： create table users(id int,name text,email text,deleted_at timestamp,delete boolean); insert into users values(1,'jerome','chong.peng@enmotech.com',null,false); insert into users values(2,'sara','lynn.wood@poland.com','2001-09-11',true); insert into users values(3,'dolores','th000@sky.com',null,false); insert into users values(4,'evan','rachel.moore@hollywood.com',null,false); 通常我们使用如下语句进行查询 openGauss# select ...

2023-01-06

396

终于等到你：Zadig v1.16.0 开发者福利版重磅发布，用的爽是硬道理，细节拉满

Hey 等了很久吧？ 2023 年伊始，Zadig 团队正式发布 v1.16.0 开发者福利版。该版本主要面向开发者体验深度优化，交互优化涉及 32 个前端改进点，三万行代码提交；能力上支持开发者仪表盘，首次支持国际化 i18n；开发者最关心的工作流也大大优化，支持多段代码预合并验证，IM 精准通知到人；自定义工作流海量能力扩展，组合场景也不用愁。 Zadig 团队愿用这满满的细节关怀，陪伴社区小伙伴迈向新的一年。Enjoy ～支持开发者仪表盘，一盘在手就知道“有” 通过运行中的工作流对团队情况一目了然。配置我的工作流和关注的环境，不用东找西找，专注创造支持国际化 i18n，全球化团队一站式协作首次支持了英文，一键切换，你和同事跨国跨地区协作更高效。 32 个体验交互优化，3 万行前端代码提交体验优化由 Zadig 开源小组两名新入职 00 后联合发起，深度体验，所到之处都是细节，用得爽才是硬道理代码分支选择组件优化、工作流展示更清晰、项目列表/镜像仓库选择支持搜索。日志支持自定义颜色眼睛看不花，优化前端字体引用加载，页面速度升个台阶。工作流面向角色协作增强，高效...

2023-01-06

436

发表评论

资源下载

更多资源

优质分享App

近一个月的开发和优化，本站点的第一个app全新上线。该app采用极致压缩，本体才4.36MB。系统里面做了大量数据访问、缓存优化。方便用户在手机上查看文章。后续会推出HarmonyOS的适配版本。

Mario

马里奥是站在游戏界顶峰的超人气多面角色。马里奥靠吃蘑菇成长，特征是大鼻子、头戴帽子、身穿背带裤，还留着胡子。与他的双胞胎兄弟路易基一起，长年担任任天堂的招牌角色。

Spring

Spring框架（Spring Framework）是由Rod Johnson于2002年提出的开源Java企业级应用框架，旨在通过使用JavaBean替代传统EJB实现方式降低企业级编程开发的复杂性。该框架基于简单性、可测试性和松耦合性设计理念，提供核心容器、应用上下文、数据访问集成等模块，支持整合Hibernate、Struts等第三方框架，其适用范围不仅限于服务器端开发，绝大多数Java应用均可从中受益。

Rocky Linux

Rocky Linux（中文名：洛基）是由Gregory Kurtzer于2020年12月发起的企业级Linux发行版，作为CentOS稳定版停止维护后与RHEL（Red Hat Enterprise Linux）完全兼容的开源替代方案，由社区拥有并管理，支持x86_64、aarch64等架构。其通过重新编译RHEL源代码提供长期稳定性，采用模块化包装和SELinux安全架构，默认包含GNOME桌面环境及XFS文件系统，支持十年生命周期更新。

k8s部署手册-v04

一、基础配置

1.修改主机名

2.添加 主机名与IP地址解析

3.升级服务器内核，时间同步，关闭防火墙，重启服务器

4.升级内核，重启服务器

二、sealos部署k8s-v1.19

1.安装sealos3.3

2.离线安装k8s 1.19

3.验证集群

4.sealos3.3常用命令

5.安装top命令

三、部署nfs

1.服务端

2.客户端

四、部署StorageClass

1.创建nfs-sc.yaml

五、harbor仓库搭建

1.安装

2.需要访问仓库的其他节点的 daemon.json添加如下内容

3.节点使用仓库

4.批量打包上传harbor镜像

六、kuboard界面管理

1.下载地址

2.编辑yaml

3.执行

七、helm3安装

1.helm包下载地址

2.安装helm

3.配置仓库

八、haproxy+keepalived+ingress

1.部署阿里云ingress

2.节点打标签

3.haproxy+keepalived部署

3.0 部署

3.1 修改配置haproxy

3.2 A机器修改keepalived配置

3.3 B机器修改keepalived配置

3.4 重启

4.部署nginx-ingress

5.测试nginx-ingress

九、elk日志监控

1.创建测试tomcat

2.部署elasticsearch

3.部署kibana

4.部署log-pilot

5.配置kibana页面

十、Prometheus监控

1.导入离线包

2.主节点创建

3. 访问下prometheus的UI

3.1 修改用户权限

4. 监控ingress-nginx

十一、安装kubesphere3.3

1.部署kubesphere时需要默认 StorageClass

2.下载yaml

3.运行yaml

4. 查看日志

5. 解决etcd监控证书找不到问题

6. 在安装后启用告警系统

6.0 配置钉钉报警

6.1 钉钉自定义机器配置

6.2 操作步骤

7. 在安装后启用应用商店，

8.在安装后启用服务网格 istio

9.在安装前启用 DevOps

10. 卸载方法

十二、 GitLab安装

1. 单独准备服务器，采用Docker安装

2.准备docker-compose.yml文件

3.启动容器（需要稍等很久……）

4.访问GitLab首页

5.查看root用户初始密码

6.第一次登录网页，需要修改密码 Password

十三、DevOps初始化环境

1.linux系统 安装Jenkins、jdk 、maven

1.下载地址

2.安装jdk maven

2.1 编辑maven配置

3.安装jenkins

2.添加主机名与IP地址解析

1.linux系统安装Jenkins、jdk 、maven