1.配置数据导出的镜像:
docker run -d -p 9100:9100 -v "/proc:/host/proc:ro" -v "/sys:/host/sys:ro" -v "/:/rootfs:ro" --net="host" prom/node-exporter
部署成功后调用地址:http://192.168.1.225:9100/metrics
2.部署普罗米修斯的镜像:
首先将设置配置
mkdir -p /opt/prometheus
vi /opt/prometheus/prometheus.yml
global:
scrape_interval: 30s
evaluation_interval: 30s
scrape_configs:
- job_name: prometheus
static_configs:
- targets: ['localhost:9090']
labels:
instance: prometheus
- job_name: linux
static_configs:
- targets: ['192.168.1.225:9100']
labels:
instance: 192.168.1.225_linux
启动并拉取相关镜像
docker run -d \
-p 9090:9090 \
-v /opt/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml \
prom/prometheus
部署成功后的调用地址:http://192.168.1.225:9090/graph
3.配置grafana可视化界面:
生成配置配置文件
mkdir -p /opt/grafana_data
chmod 777 -R /opt/grafana_data
启动并拉取相关镜像
docker run -d \
-p 3000:3000 \
--name=grafana \
-v /opt/grafana_data:/var/lib/grafana \
grafana/grafana
http://192.168.1.225:3000/
login with admin/admin
Q.E.D.