数据展示方案：Prometheus+Grafana+JMeter 备忘

1.建立目录：

在目录 /mydata/docker/progra/ 下面建立：

mkdir -p prometheus grafana/provisioning/dashboards grafana/provisioning/datasources

touch docker-compose.yml prometheus/prometheus.yml

touch grafana/provisioning/dashboards/dashboard.yml

touch grafana/provisioning/datasources/datasource.yml

2：内容，prometheus/prometheus.yml

global:scrape_interval: 15sevaluation_interval: 15sscrape_configs:- job_name: 'prometheus'static_configs:- targets: ['localhost:9090']labels:instance: prometheus- job_name: 'node-exporter'static_configs:- targets: ['node-exporter:9100']labels:instance: host-monitoring- job_name: 'docker'static_configs:- targets: ['host.docker.internal:9323']

grafana/provisioning/datasources/datasource.yml

apiVersion: 1datasources:- name: Prometheustype: prometheusaccess: proxyurl: http://prometheus:9090isDefault: trueversion: 1editable: falsejsonData:timeInterval: 15s

grafana/provisioning/dashboards/dashboard.yml

apiVersion: 1providers:- name: 'Default'orgId: 1folder: ''type: filedisableDeletion: falseupdateIntervalSeconds: 30allowUiUpdates: trueoptions:path: /etc/grafana/provisioning/dashboardsfoldersFromFilesStructure: true

docker-compose.yml:

version: '3.8'services:prometheus:image: prom/prometheus:latestcontainer_name: prometheususer: "root"volumes:- ./prometheus/prometheus.yml:/etc/prometheus/prometheus.yml- ./prometheus/data:/prometheuscommand:- '--config.file=/etc/prometheus/prometheus.yml'- '--storage.tsdb.path=/prometheus'- '--web.enable-lifecycle'ports:- "9090:9090"networks:- monitoring_netrestart: unless-stoppednode-exporter:image: prom/node-exporter:latestcontainer_name: node-exporterprivileged: trueuser: rootvolumes:- /proc:/host/proc:ro- /sys:/host/sys:ro- /:/rootfs:rocommand:- '--path.procfs=/host/proc'- '--path.sysfs=/host/sys'- '--collector.filesystem.ignored-mount-points'- '^/(sys|proc|dev|host|etc|rootfs/var/lib/docker/containers|rootfs/var/lib/docker/overlay2|rootfs/run/docker/netns|rootfs/var/lib/docker/aufs)($$|/)'ports:- "9100:9100"networks:- monitoring_netrestart: unless-stoppedgrafana:image: grafana/grafana-enterprise:latestcontainer_name: grafanauser: "root"volumes:- ./grafana/data:/var/lib/grafana- ./grafana/provisioning:/etc/grafana/provisioningenvironment:- GF_SECURITY_ADMIN_PASSWORD=admin123- GF_USERS_ALLOW_SIGN_UP=falseports:- "3000:3000"networks:- monitoring_netrestart: unless-stoppeddepends_on:- prometheusnetworks:monitoring_net:driver: bridge# 移除了volumes定义，使用本地目录挂载

3.权限：

# 进入您的项目目录
cd /mydata/docker/progra/# 创建数据目录
mkdir -p prometheus/data grafana/data# 设置目录权限（避免权限问题）
sudo chmod -R 777 prometheus/data grafana/data
sudo chown -R 1000:1000 prometheus/data  # Prometheus 默认使用uid 1000
sudo chown -R 472:472 grafana/data       # Grafana 默认使用uid 472

4. 在 grafana 3000中导入：

导入现成的仪表盘（推荐，最快最简单）
这是最常用的方法，Grafana社区有大量制作好的专业仪表盘。在Grafana中导入仪表盘登录Grafana后，点击左侧导航栏的 "+" 号 -> 选择 "Import"在 "Import via grafana.com" 输入框中，输入以下任意一个ID：1860 - Node Exporter Full（最全面）11074 - Node Exporter Quickstart（较简洁）8919 - 另一个流行的Node监控面板https://grafana.com/static/assets/img/blog/import-dashboard.png配置数据源点击 "Load" 后，会看到配置页面在 "Prometheus" 下拉菜单中，选择我们之前配置好的 "Prometheus" 数据源点击 "Import"查看监控数据导入成功后，您会立即看到一个完整的服务器监控仪表盘包含CPU、内存、磁盘、网络、负载等所有关键指标