网站交接需要哪些企业网站主题
目录
部署efk
1、所有节点都要安装
2、创建nfs存储
3、在master主机操作
4、创建nfs存储访问、构建es集群
5、部署kibana
6、安装fluentd组件
部署efk
使用k8s集群部署
1、所有节点都要安装
yum install -y nfs-utils yum install -y socat
2、创建nfs存储
mkdir /data/v1 -p
vim /etc/exports
/data/v1 192.168.58.0/24(rw,sync,no_root_squash)
[root@k8s-master efk]# systemctl enable --now nfs
Created symlink /etc/systemd/system/multi-user.target.wants/nfs-server.service → /usr/lib/systemd/system/nfs-server.service.
[root@k8s-master efk]# exportfs -arv
exportfs: /etc/exports [1]: Neither 'subtree_check' or 'no_subtree_check' specified for export "192.168.58.0/24:/data/v1".Assuming default behaviour ('no_subtree_check').NOTE: this default has changed since nfs-utils version 1.0.x
exporting 192.168.58.0/24:/data/v1
[root@k8s-master efk]# showmount -e
Export list for k8s-master:
/data/v1 192.168.58.0/24
3、在master主机操作
安装efk服务
rz efk.zip unzip efk.zip cd efk/
修改配置文件
vim deployment.yaml
#修改为本机ip地址
vim kibana.yaml
#在spec字段中增加type字段
4、创建nfs存储访问、构建es集群
[root@k8s-master efk]# ls class.yaml elasticsearch-statefulset.yaml fluentd.yaml kube-logging.yaml rbac.yaml deployment.yaml elasticsearch_svc.yaml kibana.yaml pod.yaml serviceaccount.yaml
##创建nfs存储访问 kubectl create -f serviceaccount.yaml kubectl create -f rbac.yaml kubectl create -f deployment.yaml kubectl create -f class.yaml ##构建es集群 kubectl create -f kube-logging.yaml kubectl create -f elasticsearch-statefulset.yaml kubectl create -f elasticsearch_svc.yaml
[root@k8s-master efk]# kubectl -n kube-logging get po -o wide NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES es-cluster-0 1/1 Running 0 32s 10.244.169.154 k8s-node2 <none> <none> es-cluster-1 1/1 Running 0 25s 10.244.36.90 k8s-node1 <none> <none> es-cluster-2 1/1 Running 0 20s 10.244.169.155 k8s-node2 <none> <none>
5、部署kibana
vim kibana.yml
server.name: kibana server.host: "0" elasticsearch.hosts: [ "http://elasticsearch:9200" ] xpack.monitoring.ui.container.elasticsearch.enabled: true i18n.locale: "zh-CN"
kubectl -n kube-logging create configmap kibana-configmap --from-file=kibana.yml=./kibana.yml
vim kibana.yaml
#最后加入volumeMounts:- name: kibana-configmountPath: /usr/share/kibana/config/volumes:- name: kibana-configconfigMap:name: kibana-configmap
等待es的pod running后执行
[root@k8s-master efk]# kubectl -n kube-logging get po -o wide NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES es-cluster-0 1/1 Running 0 32s 10.244.169.154 k8s-node2 <none> <none> es-cluster-1 1/1 Running 0 25s 10.244.36.90 k8s-node1 <none> <none> es-cluster-2 1/1 Running 0 20s 10.244.169.155 k8s-node2 <none> <none>
kubectl apply -f kibana.yaml
[root@k8s-master efk]# kubectl -n kube-logging get po NAME READY STATUS RESTARTS AGE es-cluster-0 1/1 Running 0 7m15s es-cluster-1 1/1 Running 0 7m8s es-cluster-2 1/1 Running 0 7m3s kibana-7645484fc7-8gjfk 1/1 Running 0 4m59s
安装完后在master节点执行
[root@k8s-master efk]# kubectl port-forward --address 192.168.58.180 es-cluster-0 9200:9200 --namespace=kube-logging Forwarding from 192.168.58.180:9200 -> 9200 Handling connection for 9200 Handling connection for 9200
网站访问：http://192.168.58.180:9200/_cluster/health?pretty
查看暴露端口号
[root@k8s-master efk]kubectl -n kube-logging get svc NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE elasticsearch ClusterIP None <none> 9200/TCP,9300/TCP 8m15s kibana NodePort 10.97.151.213 <none> 5601:31403/TCP 6m4s
网站访问：192.168.58.180:31403
6、安装fluentd组件
查看污点并复制污点
kubectl describe nodes k8s-master
修改配置文件
vim fluentd.yaml
##修改key的污点 ##在tolerations字段中加上：operator: Exists
kubectl apply -f fluentd.yaml
[root@k8s-master efk]# kubectl -n kube-logging get po -o wide NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES es-cluster-0 1/1 Running 0 40m 10.244.169.154 k8s-node2 <none> <none> es-cluster-1 1/1 Running 0 40m 10.244.36.90 k8s-node1 <none> <none> es-cluster-2 1/1 Running 0 40m 10.244.169.155 k8s-node2 <none> <none> fluentd-5rndr 1/1 Running 0 114s 10.244.169.157 k8s-node2 <none> <none> fluentd-kjc7h 1/1 Running 0 3m43s 10.244.235.197 k8s-master <none> <none> fluentd-xrkr2 1/1 Running 0 2m3s 10.244.36.93 k8s-node1 <none> <none> kibana-7645484fc7-8gjfk 1/1 Running 0 38m 10.244.36.91 k8s-node1 <none> <none>
网站访问：192.168.58.180:31715
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