docker-compose.yaml
version: '3.8' services: grafana: image: grafana/grafana:9.3.1 container_name: grafana hostname: grafana restart: always ports: - '9000:3000' volumes: - grafana-data:/var/lib/grafana - /etc/localtime:/etc/localtime:ro prometheus: image: prom/prometheus:v2.40.2 container_name: prometheus hostname: prometheus restart: always ports: - '9090:9090' volumes: - prometheus-data:/etc/prometheus - /etc/localtime:/etc/localtime:ro node_exporter: # image: quay.io/prometheus/node-exporter:latest image: prom/node-exporter:v1.4.0 container_name: node_exporter hostname: node_exporter restart: always network_mode: host pid: host command: - '--path.rootfs=/host' volumes: - '/:/host:ro,rslave' - /etc/localtime:/etc/localtime:ro alertmanager: image: prom/alertmanager:v0.24.0 container_name: alertmanager hostname: alertmanager restart: always ports: - '9093:9093' volumes: - alertmanager-data:/etc/alertmanager - /etc/localtime:/etc/localtime:ro volumes: grafana-data: prometheus-data: alertmanager-data:点击复制复制失败已复制
Tip
node_exporter 占用 9100 端口，使用 host 网络，因此处于容器网络中的 prometheus 和 grafana 是不能通过 hostname 来访问的，需要通过网关的 ip 来访问，使用 $ docker inspect prometheus 命令来查看网关ip。
Prometheus 配置
接下来配置 prometheus ，首先通过命令： $ docker volume ls 命令找到volume具名挂在的名称，如下所示：
$ docker volume ls DRIVER VOLUME NAME local d927b4b286e87a17f4e66d0a840a72f2b6c8403d370313526b1618a94bc864fd local monitor_alertmanager-data local monitor_grafana-data local monitor_prometheus-data点击复制复制失败已复制
这样就知道 monitor_prometheus-data 就是 prometheus 容器挂载的卷了，接下来通过 $ docker volume inspect monitor_prometheus-data 命令拿到存储地址：
$ docker volume inspect monitor_prometheus-data [ { "CreatedAt": "2021-12-11T21:46:35+08:00", "Driver": "local", "Labels": { "com.docker.compose.project": "monitor", "com.docker.compose.version": "1.29.2", "com.docker.compose.volume": "prometheus-data" }, "Mountpoint": "/var/lib/docker/volumes/monitor_prometheus-data/_data", "Name": "monitor_prometheus-data", "Options": null, "Scope": "local" } ]点击复制复制失败已复制
由 Mountpoint 字段可以知道，这个卷的实际位置在 /var/lib/docker/volumes/monitor_prometheus-data/_data 路径下，接下来编辑 prometheus.yml 文件，写配置即可。
$ sudo vim /var/lib/docker/volumes/monitor_prometheus-data/_data/prometheus.yml点击复制复制失败已复制
配置示例：
# my global config global: scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute. evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute. # scrape_timeout is set to the global default (10s). # Alertmanager configuration alerting: alertmanagers: - static_configs: - targets: ["alertmanager:9093"] # Load rules once and periodically evaluate them according to the global 'evaluation_interval'. rule_files: # - "first_rules.yml" # - "second_rules.yml" # A scrape configuration containing exactly one endpoint to scrape: # Here it's Prometheus itself. scrape_configs: # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config. - job_name: "prometheus" # metrics_path defaults to '/metrics' # scheme defaults to 'http'. static_configs: - targets: ["localhost:9090"] labels: instance: "prometheus" - job_name: "linux" static_configs: - targets: ["192.168.0.1:9100"] # 注意这里写的是网关的ip labels: instance: "本机" - job_name: "grafana" static_configs: - targets: ["grafana:3000"] labels: instance: "grafana" - job_name: "外部服务器" scheme: https basic_auth: username: prometheus password: basic auth密码 static_configs: - targets: ["外部服务域名"] labels: instance: "外部服务器"
