参考文档

https://akomljen.com/get-kubernetes-cluster-metrics-with-prometheus-in-5-minutes/https://github.com/kubernetes/ingress-nginx/tree/f56e839134fd4a1d020c3e95d4fe89496225041c/deploy/grafana/dashboardshttps://github.com/kubernetes/ingress-nginx/tree/f56e839134fd4a1d020c3e95d4fe89496225041c/deploy/monitoring

文档目录

部署monitoring

在ingress-nginx官网deploy/monitoring目录下载相关yaml文件

[root@elasticsearch01 monitoring]# pwd/k8s/yaml/ingress-nginx/monitoring[root@elasticsearch01 monitoring]# lsconfiguration.yaml  grafana.yaml  prometheus.yaml

使用kubectl部署prometheus和grafana容器pod

[root@elasticsearch01 monitoring]# kubectl create -f ./configmap/prometheus-configuration createddeployment.extensions/grafana createdservice/grafana createdrole.rbac.authorization.k8s.io/prometheus-server createdserviceaccount/prometheus-server createdrolebinding.rbac.authorization.k8s.io/prometheus-server createddeployment.apps/prometheus-server createdservice/prometheus-server created

查看对外暴露端口，服务以NoderPort方式对外提供服务

[root@elasticsearch01 monitoring]# kubectl get pods,svc -n ingress-nginx -o wide|egrep "grafana|prome"pod/grafana-69549786b6-69sqm                    1/1     Running   0          14m     10.254.73.6   10.2.8.34   
               
     
      pod/prometheus-server-8658d8cdbb-8kf2g          1/1     Running   0          14m     10.254.35.7   10.2.8.65   
                 
       
        service/grafana             NodePort       10.254.108.105   
        
                 3000:32358/TCP               14m     app.kubernetes.io/name=grafana,app.kubernetes.io/part-of=ingress-nginxservice/prometheus-server   NodePort       10.254.155.29    
         
           9090:37941/TCP 14m app.kubernetes.io/name=prometheus,app.kubernetes.io/part-of=ingress-nginx
         
        
       
      
     
    

配置grafana

在ingress-nginx官网deploy/grafana/dashboards目录下载相关nginx.json文件

配置prometheus数据源

导入dashboard

最终展示效果如下