背景

最近看着手里的几只树莓派在吃灰，心中不忍，遂想利用它们搭个小应用，并在新买的RPI4上监测他们的状态

过程

1、在各监测点上安装node_exporter

cd /home
curl -SL https://github.com/prometheus/node_exporter/releases/download/v0.16.0/node_exporter-0.16.0.linux-armv7.tar.gz > node_exporter.tar.gz && sudo tar -xvf node_exporter.tar.gz -C /usr/local/bin/ --strip-components=1

2、运行node_exporter

node_exporter

后面可以做为系统服务

vim /etc/systemd/system/node_exporter.service

输入

[Unit]
Description=Node Exporter
Wants=network-online.target
After=network-online.target

[Service]
User=root
ExecStart=/home/node_exporter

[Install]
WantedBy=default.target

开机启动

systemctl daemon-reload
systemctl status node_exporter
systemctl start node_exporter
systemctl enable node_exporter

3、在监测机上配置prometheus.yml

# 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']
  - job_name: 'RPi_Mariadb'
    static_configs:
      - targets: ['192.168.10.10:9100']
  - job_name: 'RPi_Redis'
    static_configs:
      - targets: ['192.168.10.11:9100']
  - job_name: 'RPi_dotnet'
    static_configs:
      - targets: ['192.168.10.12:9100']

3、安装docker

curl -sSL https://get.docker.com | sh

4、拉取镜象

docker pull prometheus

5、用上面的配置文件，创建一个新的镜象

FROM prom/prometheus
COPY ./prometheus.yml /etc/prometheus/prometheus.yml

6、运行容器

docker run -p 9090:9090 --name prometheus-rpi -d prometheus/rpi-monitor

7、运行grafana

docker run -i -p 3000:3000 --name grafana6 grafana/grafana-arm32v7-linux:6.5.1

8、配置datasource，导入dashboard 8919，最终效果如下图

引用

树莓派教程：使用监控系统 Prometheus 监控 Raspberry Pi 集群

【监控】Prometheus+Grafana监控简介

https://github.com/prometheus/node_exporter