Prometheus Server并不直接服务监控特定的目标,其主要任务负责数据的收集,存储并且对外提供数据查询支持。
因此为了能够能够监控到某些东西,如主机的CPU使用率,我们需要使用到Exporter。
Prometheus周期性的从Exporter暴露的HTTP服务地址(通常是/metrics)拉取监控样本数据。
Exporter可以是一个相对开放的概念,其可以是一个独立运行的程序独立于监控目标以外,也可以是直接内置在监控目标中。
只要能够向Prometheus提供标准格式的监控样本数据即可。
我们用来监控Windows系统的台式机或者服务器需要用到 windows_exporter
windows_exporter 下载地址 https://github.com/prometheus-community/windows_exporter/releases
大部分主机都是64位操作系统,因此我们下载amd64位的msi(已经封装成msi)
![](https://notepad.com.cn/wp-content/uploads/2022/12/2022-12-02_140602-1024x725.png)
双击下载的 windows_exporter-0.20.0-amd64 直接安装成服务进程
![](https://notepad.com.cn/wp-content/uploads/2022/12/2022-12-02_140936.png)
windows_exporter 安装完成之后默认监听地址为 127.0.0.1:9182
![](https://notepad.com.cn/wp-content/uploads/2022/12/2022-12-02_141218-1024x725.png)
使用普罗米修斯配置 windows_exporter 到 prometheus.yml 配置文件
# 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: "Windows" # metrics_path defaults to '/metrics' # scheme defaults to 'http'. static_configs: - targets: ["127.0.0.1:9182"]
我用图片标出新增的代码如下
![](https://notepad.com.cn/wp-content/uploads/2022/12/2022-12-02_141655-1024x619.png)
上面全部弄好之后我们自己去任务管理器服务手动重新启动 Prometheus 服务 或者cmd窗口用nssm命令重启 nssm restart Prometheus
打开普罗米修斯网页界面 127.0.0.1:9090 选择Status下面的Targets
![](https://notepad.com.cn/wp-content/uploads/2022/12/2022-12-02-14_25_38-Window.png)
可以看到我们新加的 Windows 块代码
![](https://notepad.com.cn/wp-content/uploads/2022/12/2022-12-02_142743-1024x725.png)
Grafana 可视化展示 windows_exporter 采集的数据
![](https://notepad.com.cn/wp-content/uploads/2022/12/2022-12-02-14_30_16-Window-1024x615.png)
Impot 导入数据 Windows面板号是17264
![](https://notepad.com.cn/wp-content/uploads/2022/12/2022-12-02_143227-1024x725.png)
Load 选择Prometheus数据 然后 Import
![](https://notepad.com.cn/wp-content/uploads/2022/12/2022-12-02_143328-1024x725.png)
最终效果如下
![](https://notepad.com.cn/wp-content/uploads/2022/12/2022-12-02_143458-794x1024.png)