Prometheus + Grafana 实时监控Windows

Prometheus 是一个最初在SoundCloud上构建的开源系统监视和警报工具包。
Grafana 是一个跨平台的开源的度量分析和可视化工具，可以通过将采集的数据查询然后可视化的展示，并及时通知。

Windows采集器（wmi_exporter）

要获取服务器运行时的参数，比如当前的CPU负载、内存消耗、硬盘使用、网络IO等等，就可以在服务器上运行一个node_exporter，它能把这些参数收集好，并且暴露出一个HTTP接口以便你访问查询。

1. 下载采集器
   从wmi_exporter下载
2. 安装
   直接双击安装即可。
   Windows默认9182端口。
3. 验证
   访问http://127.0.0.1:9182/metrics
   显示以下数据，数据采集器安装成功。
   

Prometheus

1. 下载
   从Prometheus下载

2. 配置
   打开prometheus.yml

   # my global config
   global:
     scrape_interval:     5s # Set the scrape interval to every 15 seconds. Default is every 1 minute.  evaluation_interval: 5s # Evaluate rules every 15 seconds. The default is every 1 minute.  # scrape_timeout is set to the global default (10s).# Alertmanager configurationalerting:  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:9182']
     evaluation_interval: 5s # 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:9182']
   scrape_configs:
     # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
     - job_name: '
   
       # metrics_path defaults to '
       # scheme defaults to '
   
       static_configs:
       - targets: ['

3. 运行(将默认端口9090改为8091)

   prometheus.exe --config.file=prometheus.yml --web.listen-address=:8091 &

4. 验证
   访问http://127.0.0.1:8091/
   目标列表中有你本地的机器，说明Prometheus已经成功监控到本地。
   

Grafana

1. 下载
   从Grafana下载

2. 启动
   双击安装即可。 进行到安装bin目录下：双击grafana-server.exe启动
   访问http://127.0.0.1:3000
   默认账号/密码：admin/admin
   

3. 配置Prometheus数据源
   从刚才配置好的prometheus那里获取本地性能数据并展示。
   

4. 搭建Prometheus仪表盘
   Import Dashboard: 10467
   

最终显示如下：