ip8的服务器监控ip110和ip111的服务器

被监控的服务器110和111只需要安装node-export和nvidia-container-toolkit

下载镜像包

docker pull prom/node-exporter
docker pull prom/prometheus
docker pull grafana/grafana

新建目录

mkdir /opt/prometheus
cd /opt/prometheus/
vim prometheus.yml

global:scrape_interval:     60sevaluation_interval: 60sscrape_configs:- job_name: prometheusstatic_configs:- targets: ['localhost:9090']labels:instance: prometheus- job_name: linuxstatic_configs:- targets: ['10.20.13.8:9100']labels:instance: master- job_name: nodestatic_configs:- targets: ['10.20.13.111:9100','10.20.13.110:9100']

启动普罗米修斯

docker run  -d \-p 9090:9090 \-v /opt/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml  \prom/prometheus

启动node-export  

docker run -d -p 9100:9100 \-v "/proc:/host/proc:ro" \-v "/sys:/host/sys:ro" \-v "/:/rootfs:ro" \prom/node-exporter

新建目录

mkdir /opt/grafana-storage
chmod 777 -R /opt/grafana-storage

启动grafana

docker run -d \-p 3000:3000 \--name=grafana \-v /opt/grafana-storage:/var/lib/grafana \grafana/grafana

访问grafana  url

10.20.13.8:3000
默认会先跳转到登录页面，默认的用户名和密码都是admin

添加data source时，ip地址要填写本机Ip地址     http://ip:9090

安装显卡监控

curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg   && curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list |     sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' |     sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list

apt update
apt upgrade 
apt-get install -y nvidia-container-toolkit
nvidia-ctk runtime configure --runtime=docker
systemctl restart docker

运行容器

docker run -d     --restart always     --gpus all     -p 9400:9400     --name gpu-exporter     nvcr.io/nvidia/k8s/dcgm-exporter:3.2.5-3.1.8-ubuntu22.04

在配置文件中加入端口

vim /opt/prometheus/prometheus.yml

加入一段

- job_name: gpu_metricsstatic_configs:- targets: ['10.20.13.111:9400','10.20.13.110:9400']

在grafanan导入监控gpu模板  id12239