Windows监控：基于Prometheus+Grafana监控CPU、内存、磁盘、网络、GPU信息

今天药忘吃喽~ 2022-12-01 15:55 1015阅读 0赞

**目录**

1. 系统环境准备

windows\_exporter-0.13.0-amd64

Collectors 指标

nvidia\_smi\_exporter

nvidia-smi.exe查看GPU信息

nvidia-smi 输出信息解释

prometheus-2.19.2.windows-amd64

grafana-7.1.5.windows-amd64

2. 安装wmi-exporter

3. 安装nvidia\_smi\_exporter

构建

运行

访问：localhost:9101/metrics

等价Command

Prometheus 配置

4. 安装prometheus

prometheus配置

prometheus启动

访问prometheus

5. 安装Grafana

启动Grafana

Grafana配置数据源

Grafana选择监控仪表盘

6. 自动化启动脚本

--------------------

# 1. 系统环境准备 #

## windows\_exporter-0.13.0-amd64 ##

> 下载地址：[https://github.com/martinlindhe/wmi\_exporter/releases][https_github.com_martinlindhe_wmi_exporter_releases]

**A Prometheus exporter for Windows machines. 可以帮助收集windows上的CPU、内存、磁盘、网络**

### Collectors 指标 ###

<table> 
 <thead> 
  <tr> 
   <th>Name</th> 
   <th>Description</th> 
   <th>Enabled by default</th> 
  </tr> 
 </thead> 
 <tbody> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.ad.md" rel="nofollow">ad</a></td> 
   <td>Active Directory Domain Services</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.adfs.md" rel="nofollow">adfs</a></td> 
   <td>Active Directory Federation Services</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.cpu.md" rel="nofollow">cpu</a></td> 
   <td>CPU usage</td> 
   <td>✓</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.cs.md" rel="nofollow">cs</a></td> 
   <td>"Computer System" metrics (system properties, num cpus/total memory)</td> 
   <td>✓</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.container.md" rel="nofollow">container</a></td> 
   <td>Container metrics</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.dhcp.md" rel="nofollow">dhcp</a></td> 
   <td>DHCP Server</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.dns.md" rel="nofollow">dns</a></td> 
   <td>DNS Server</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.exchange.md" rel="nofollow">exchange</a></td> 
   <td>Exchange metrics</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.fsrmquota.md" rel="nofollow">fsrmquota</a></td> 
   <td>Microsoft File Server Resource Manager (FSRM) Quotas collector</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.hyperv.md" rel="nofollow">hyperv</a></td> 
   <td>Hyper-V hosts</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.iis.md" rel="nofollow">iis</a></td> 
   <td>IIS sites and applications</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.logical_disk.md" rel="nofollow">logical_disk</a></td> 
   <td>Logical disks, disk I/O</td> 
   <td>✓</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.logon.md" rel="nofollow">logon</a></td> 
   <td>User logon sessions</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.memory.md" rel="nofollow">memory</a></td> 
   <td>Memory usage metrics</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.msmq.md" rel="nofollow">msmq</a></td> 
   <td>MSMQ queues</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.mssql.md" rel="nofollow">mssql</a></td> 
   <td><a href="https://docs.microsoft.com/en-us/sql/relational-databases/performance-monitor/use-sql-server-objects#SQLServerPOs" rel="nofollow">SQL Server Performance Objects</a>&nbsp;metrics</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.netframework_clrexceptions.md" rel="nofollow">netframework_clrexceptions</a></td> 
   <td>.NET Framework CLR Exceptions</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.netframework_clrinterop.md" rel="nofollow">netframework_clrinterop</a></td> 
   <td>.NET Framework Interop Metrics</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.netframework_clrjit.md" rel="nofollow">netframework_clrjit</a></td> 
   <td>.NET Framework JIT metrics</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.netframework_clrloading.md" rel="nofollow">netframework_clrloading</a></td> 
   <td>.NET Framework CLR Loading metrics</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.netframework_clrlocksandthreads.md" rel="nofollow">netframework_clrlocksandthreads</a></td> 
   <td>.NET Framework locks and metrics threads</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.netframework_clrmemory.md" rel="nofollow">netframework_clrmemory</a></td> 
   <td>.NET Framework Memory metrics</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.netframework_clrremoting.md" rel="nofollow">netframework_clrremoting</a></td> 
   <td>.NET Framework Remoting metrics</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.netframework_clrsecurity.md" rel="nofollow">netframework_clrsecurity</a></td> 
   <td>.NET Framework Security Check metrics</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.net.md" rel="nofollow">net</a></td> 
   <td>Network interface I/O</td> 
   <td>✓</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.os.md" rel="nofollow">os</a></td> 
   <td>OS metrics (memory, processes, users)</td> 
   <td>✓</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.process.md" rel="nofollow">process</a></td> 
   <td>Per-process metrics</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.remote_fx.md" rel="nofollow">remote_fx</a></td> 
   <td>RemoteFX protocol (RDP) metrics</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.service.md" rel="nofollow">service</a></td> 
   <td>Service state metrics</td> 
   <td>✓</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.system.md" rel="nofollow">system</a></td> 
   <td>System calls</td> 
   <td>✓</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.tcp.md" rel="nofollow">tcp</a></td> 
   <td>TCP connections</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.thermalzone.md" rel="nofollow">thermalzone</a></td> 
   <td>Thermal information</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.terminal_services.md" rel="nofollow">terminal_services</a></td> 
   <td>Terminal services (RDS)</td> 
   <td>&nbsp;</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.textfile.md" rel="nofollow">textfile</a></td> 
   <td>Read prometheus metrics from a text file</td> 
   <td>✓</td> 
  </tr> 
  <tr> 
   <td><a href="https://github.com/prometheus-community/windows_exporter/blob/master/docs/collector.vmware.md" rel="nofollow">vmware</a></td> 
   <td>Performance counters installed by the Vmware Guest agent</td> 
   <td>&nbsp;</td> 
  </tr> 
 </tbody> 
</table>

有关报指标，配置设置和使用示例的更多信息，请参见每个收集器上的链接文档。

## nvidia\_smi\_exporter ##

> 下载地址：[https://github.com/zhebrak/nvidia\_smi\_exporter][https_github.com_zhebrak_nvidia_smi_exporter]

**他是用于Prometheus的一个nvidia-smi metrics exporter ，可以帮助手机windows中的GPU信息，相当于执行了如下命令**

> nvidia-smi --query-gpu=name,index,temperature.gpu,utilization.gpu,utilization.memory,memory.total,memory.free,memory.used --format=csv,noheader,nounits

### nvidia-smi.exe查看GPU信息 ###

> （1）打开cmd窗口（win+R，再输入cmd）
> 
> （2）进入C:\\Program Files\\NVIDIA Corporation\\NVSMI中，执行nvidia-smi.exe

C:\Users\Administrator
    λ cd C:\Program Files\NVIDIA Corporation\NVSMI
    
    C:\Program Files\NVIDIA Corporation\NVSMI
    λ nvidia-smi.exe -l
    Fri Aug 28 10:58:21 2020
    +-----------------------------------------------------------------------------+
    | NVIDIA-SMI 446.14       Driver Version: 446.14       CUDA Version: 11.0     |
    |-------------------------------+----------------------+----------------------+
    | GPU  Name            TCC/WDDM | Bus-Id        Disp.A | Volatile Uncorr. ECC |
    | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
    |===============================+======================+======================|
    |   0  GeForce GTX 106... WDDM  | 00000000:01:00.0  On |                  N/A |
    | 27%   36C    P8    10W / 120W |   1079MiB /  6144MiB |      2%      Default |
    +-------------------------------+----------------------+----------------------+
    
    +-----------------------------------------------------------------------------+
    | Processes:                                                                  |
    |  GPU                  PID   Type   Process name                  GPU Memory |
    |                                                                  Usage      |
    |=============================================================================|
    |    0                  680    C+G   ...lPanel\SystemSettings.exe    N/A      |
    |    0                 1388    C+G   ...U-2019.1.3\bin\idea64.exe    N/A      |
    |    0                 1704    C+G   ...w5n1h2txyewy\SearchUI.exe    N/A      |
    |    0                 2328    C+G   ...gram\WeChat\WeChatApp.exe    N/A      |
    |    0                 3220    C+G   ...sk\baidunetdiskrender.exe    N/A      |
    |    0                 5296    C+G   ...y\ShellExperienceHost.exe    N/A      |
    |    0                 5940    C+G   ...me\Application\chrome.exe    N/A      |
    |    0                 6976    C+G   ...b3d8bbwe\WinStore.App.exe    N/A      |
    |    0                 8636    C+G   ...ekyb3d8bbwe\YourPhone.exe    N/A      |
    |    0                 8664    C+G   ...es.TextInput.InputApp.exe    N/A      |
    |    0                 9880    C+G   ...kyb3d8bbwe\Calculator.exe    N/A      |
    |    0                11552    C+G   ...2701\Applet\WeChatApp.exe    N/A      |
    |    0                11560    C+G   ...1055.127\DesktopMgr64.exe    N/A      |
    |    0                11864    C+G   ...gram\WeChat\wechatweb.exe    N/A      |
    |    0                12840    C+G   Insufficient Permissions        N/A      |
    |    0                13792    C+G   C:\Windows\explorer.exe         N/A      |
    |    0                16004    C+G   ...typora\program\Typora.exe    N/A      |
    +-----------------------------------------------------------------------------+

###  nvidia-smi 输出信息解释 ###

> 表格中会显示显卡的一些信息，第一行是版本信息，第二行是标题栏，第三行就是具体的显卡信息了，如果有多个显卡，会有多行，每一行的信息值对应标题栏对应位置的信息。
> 
> GPU：编号，0
> 
> Name：显卡名，NVS 4200M
> 
> TCC/WDDM：WDDM
> 
> Fan：风扇转速，在0到100%之间变动。N/A，表示没转
> 
> Temp：显卡温度，这里是66摄氏度
> 
> Perf：性能状态，congP0-P12，P0性能最大，P12最小，这里是P0
> 
> Pwr：能耗，Usage是使用量，Cap是总量
> 
> BusId：涉及GPU总线
> 
> Disp.A：表示GPU的显示是否已经初始化
> 
> Memory-Usage：显存使用率，这里才用很少，5%不到
> 
> CPU-Util：GPU利用率
> 
> Compute M：计算模式
> 
> 需要注意的一点是显存占用率和GPU占用率是两个不一样的东西，类似于内存和CPU，两个指标的占用率不一定是互相对应的。

## prometheus-2.19.2.windows-amd64 ##

> 下载地址：[https://prometheus.io/download/][https_prometheus.io_download]`      `
> 
> 选择windows 版本即可

## grafana-7.1.5.windows-amd64 ##

> 下载地址：[https://grafana.com/grafana/download][https_grafana.com_grafana_download]    
> 选择windows 版本即可

# 2. 安装wmi-exporter #

>  *  下载地址：https://github.com/martinlindhe/wmi\_exporter/releases选择最新msi文件下载安装即可。
>  *  完成安装后会自动创建一个开机自启的服务，通过服务(services.msc)判断是否有有windows\_exporter

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZseTkxMDkwNQ_size_16_color_FFFFFF_t_70][]

>  *  通过访问http://ip+默认端口9182（如：http://localhost:9182） 出现下图，即代表安装采集数据成功。

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZseTkxMDkwNQ_size_16_color_FFFFFF_t_70 1][]

# 3. 安装nvidia\_smi\_exporter #

> 依赖于go的编译环境
> 
> go的下载：[https://golang.google.cn/dl/][https_golang.google.cn_dl]

### 构建 ###

> go build -v nvidia_smi_exporter

> 会自动生成一个nvidia\_smi\_exporter.exe文件

### 运行 ###

> ./nvidia_smi_exporter [<port>]

> Default port is 9101

### 访问：localhost:9101/metrics ###

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZseTkxMDkwNQ_size_16_color_FFFFFF_t_70 2][]

temperature_gpu{gpu="TITAN X (Pascal)[0]"} 41
    utilization_gpu{gpu="TITAN X (Pascal)[0]"} 0
    utilization_memory{gpu="TITAN X (Pascal)[0]"} 0
    memory_total{gpu="TITAN X (Pascal)[0]"} 12189
    memory_free{gpu="TITAN X (Pascal)[0]"} 12189
    memory_used{gpu="TITAN X (Pascal)[0]"} 0
    temperature_gpu{gpu="TITAN X (Pascal)[1]"} 78
    utilization_gpu{gpu="TITAN X (Pascal)[1]"} 95
    utilization_memory{gpu="TITAN X (Pascal)[1]"} 59
    memory_total{gpu="TITAN X (Pascal)[1]"} 12189
    memory_free{gpu="TITAN X (Pascal)[1]"} 1738
    memory_used{gpu="TITAN X (Pascal)[1]"} 10451
    temperature_gpu{gpu="TITAN X (Pascal)[2]"} 83
    utilization_gpu{gpu="TITAN X (Pascal)[2]"} 99
    utilization_memory{gpu="TITAN X (Pascal)[2]"} 82
    memory_total{gpu="TITAN X (Pascal)[2]"} 12189
    memory_free{gpu="TITAN X (Pascal)[2]"} 190
    memory_used{gpu="TITAN X (Pascal)[2]"} 11999
    temperature_gpu{gpu="TITAN X (Pascal)[3]"} 84
    utilization_gpu{gpu="TITAN X (Pascal)[3]"} 97
    utilization_memory{gpu="TITAN X (Pascal)[3]"} 76
    memory_total{gpu="TITAN X (Pascal)[3]"} 12189
    memory_free{gpu="TITAN X (Pascal)[3]"} 536
    memory_used{gpu="TITAN X (Pascal)[3]"} 11653

### 等价Command ###

nvidia-smi --query-gpu=name,index,temperature.gpu,utilization.gpu,utilization.memory,memory.total,memory.free,memory.used --format=csv,noheader,nounits

### Prometheus 配置 ###

- job_name: "gpu_exporter"
      static_configs:
      - targets: ['localhost:9101']

# 4. 安装prometheus #

>  *  下载地址：https://prometheus.io/download/       
>  *  选择windows 版本即可

### prometheus配置 ###

下载解压后，修改配置文件，修改新增windows\_exporter、nvidia\_smi\_exporter数据采集器配置：

# 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: 'Win-162'
        # metrics_path defaults to '/metrics'
        # scheme defaults to 'http'.
        static_configs:
        - targets: ['10.0.50.162:9182']
      # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
      - job_name: 'Win-162-GPU'
        # metrics_path defaults to '/metrics'
        # scheme defaults to 'http'.
        static_configs:
        - targets: ['10.0.50.162:9101']

### prometheus启动 ###

启动，cmd进入安装目录（& – -> 后台运行）

prometheus.exe --config.file=prometheus.yml --web.listen-address=:9090 &

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZseTkxMDkwNQ_size_16_color_FFFFFF_t_70 3][]

### 访问prometheus ###

访问 http://ip:9090 ,（如：http://localhost:9090）出现如下界面即为prometheus安装成功、数据采集器验证成功 （PS: up为成功，down 为不成功。）

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZseTkxMDkwNQ_size_16_color_FFFFFF_t_70 4][]

# ![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZseTkxMDkwNQ_size_16_color_FFFFFF_t_70 5][] #

# 5. 安装Grafana #

>  *  下载地址：https://grafana.com/grafana/download    
>  *  选择windows 版本即可

### 启动Grafana ###

>  解压完成，进入bin目录启动grafana-server.exe     打开浏览器访问 http://ip:3000,（如：http://localhost:3000） 用户名/密码 admin/admin

### Grafana**配置数据源 ** ###

>  Configuration  --   Add data source ---  Prometheus ， 输入名称，prometheus的访问url ，点击保存测试，验证是否成功

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZseTkxMDkwNQ_size_16_color_FFFFFF_t_70 6][]

### Grafana**选择监控仪表盘** ###

> 访问地址：https://grafana.com/dashboards  ---  serch框输入windows  ----  选择心仪模板 (注意模板所支持的数据源为prometheus)  -----   进行 ID 或者JOSN文件两种方式导入。
> 
> **推荐使用ID**

仪表盘模板推荐

> 模板ID:  10467
> 
> \-- Windows的Prometheus监控看板展示，增加了资源汇总展示，优化了明细展示。更新支持windows\_exporter 0.13.0。

模板导入成功即可看到监控数据

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZseTkxMDkwNQ_size_16_color_FFFFFF_t_70 7][]

但是他没有GPU信息，我们通过添加panel来显示GPU的温度和使用率，改造后的仪表盘JOSN文件

{
      "annotations": {
        "list": [
          {
            "builtIn": 1,
            "datasource": "-- Grafana --",
            "enable": true,
            "hide": true,
            "iconColor": "rgba(0, 211, 255, 1)",
            "name": "Annotations & Alerts",
            "type": "dashboard"
          }
        ]
      },
      "description": "Windows的Prometheus监控看板展示，增加了资源汇总展示，优化了明细展示。更新支持windows_exporter 0.13.0。同时支持nvidia_smi_exporter的GPU温度和使用率展示",
      "editable": true,
      "gnetId": 10467,
      "graphTooltip": 1,
      "id": 1,
      "iteration": 1598863585509,
      "links": [
        {
          "asDropdown": true,
          "icon": "external link",
          "tags": [],
          "targetBlank": true,
          "type": "dashboards"
        }
      ],
      "panels": [
        {
          "collapsed": false,
          "datasource": "Prometheus",
          "gridPos": {
            "h": 1,
            "w": 24,
            "x": 0,
            "y": 0
          },
          "id": 41,
          "panels": [],
          "title": "资源总览（关联JOB项）当前选中主机：【$show_hostname】实例：$instance",
          "type": "row"
        },
        {
          "columns": [],
          "datasource": "Prometheus",
          "fieldConfig": {
            "defaults": {
              "custom": {}
            },
            "overrides": []
          },
          "fontSize": "80%",
          "gridPos": {
            "h": 6,
            "w": 24,
            "x": 0,
            "y": 1
          },
          "id": 45,
          "pageSize": null,
          "showHeader": true,
          "sort": {
            "col": 0,
            "desc": true
          },
          "styles": [
            {
              "alias": "操作系统",
              "align": "auto",
              "colorMode": null,
              "colors": [
                "rgba(245, 54, 54, 0.9)",
                "rgba(237, 129, 40, 0.89)",
                "rgba(50, 172, 45, 0.97)"
              ],
              "dateFormat": "YYYY-MM-DD HH:mm:ss",
              "decimals": 2,
              "mappingType": 1,
              "pattern": "product",
              "preserveFormat": false,
              "sanitize": false,
              "thresholds": [],
              "type": "string",
              "unit": "short",
              "valueMaps": []
            },
            {
              "alias": "主机名",
              "align": "auto",
              "colorMode": null,
              "colors": [
                "rgba(245, 54, 54, 0.9)",
                "rgba(237, 129, 40, 0.89)",
                "rgba(50, 172, 45, 0.97)"
              ],
              "dateFormat": "YYYY-MM-DD HH:mm:ss",
              "decimals": 2,
              "link": false,
              "linkTooltip": "",
              "linkUrl": "",
              "mappingType": 1,
              "pattern": "hostname",
              "preserveFormat": false,
              "thresholds": [],
              "type": "string",
              "unit": "short"
            },
            {
              "alias": "instance(连接到明细)",
              "align": "auto",
              "colorMode": null,
              "colors": [
                "rgba(245, 54, 54, 0.9)",
                "rgba(237, 129, 40, 0.89)",
                "rgba(50, 172, 45, 0.97)"
              ],
              "dateFormat": "YYYY-MM-DD HH:mm:ss",
              "decimals": 2,
              "link": true,
              "linkTargetBlank": false,
              "linkTooltip": "${__cell_4}",
              "linkUrl": "/d/Kdh0OoSGz/?var-job=${__cell_5}&var-hostname=All&var-instance=${__cell_4}",
              "mappingType": 1,
              "pattern": "instance",
              "thresholds": [],
              "type": "string",
              "unit": "short"
            },
            {
              "alias": "CPU核数",
              "align": "auto",
              "colorMode": null,
              "colors": [
                "rgba(245, 54, 54, 0.9)",
                "rgba(237, 129, 40, 0.89)",
                "rgba(50, 172, 45, 0.97)"
              ],
              "dateFormat": "YYYY-MM-DD HH:mm:ss",
              "decimals": 2,
              "mappingType": 1,
              "pattern": "Value #B",
              "thresholds": [],
              "type": "string",
              "unit": "short"
            },
            {
              "alias": "总内存",
              "align": "auto",
              "colorMode": null,
              "colors": [
                "rgba(245, 54, 54, 0.9)",
                "rgba(237, 129, 40, 0.89)",
                "rgba(50, 172, 45, 0.97)"
              ],
              "dateFormat": "YYYY-MM-DD HH:mm:ss",
              "decimals": null,
              "mappingType": 1,
              "pattern": "Value #C",
              "thresholds": [],
              "type": "number",
              "unit": "bytes"
            },
            {
              "alias": "运行时间",
              "align": "auto",
              "colorMode": "cell",
              "colors": [
                "rgba(245, 54, 54, 0.9)",
                "rgba(237, 129, 40, 0.89)",
                "rgba(50, 172, 45, 0.97)"
              ],
              "dateFormat": "YYYY-MM-DD HH:mm:ss",
              "decimals": null,
              "mappingType": 1,
              "pattern": "Value #D",
              "thresholds": [
                "259200",
                "432000"
              ],
              "type": "number",
              "unit": "s"
            },
            {
              "alias": "C盘使用率",
              "align": "auto",
              "colorMode": "cell",
              "colors": [
                "rgba(50, 172, 45, 0.97)",
                "rgba(237, 129, 40, 0.89)",
                "rgba(245, 54, 54, 0.9)"
              ],
              "dateFormat": "YYYY-MM-DD HH:mm:ss",
              "decimals": 2,
              "mappingType": 1,
              "pattern": "Value #E",
              "thresholds": [
                "60",
                "80"
              ],
              "type": "number",
              "unit": "percentunit"
            },
            {
              "alias": "使用最多分区%",
              "align": "auto",
              "colorMode": "cell",
              "colors": [
                "rgba(50, 172, 45, 0.97)",
                "rgba(237, 129, 40, 0.89)",
                "rgba(245, 54, 54, 0.9)"
              ],
              "dateFormat": "YYYY-MM-DD HH:mm:ss",
              "decimals": 2,
              "mappingType": 1,
              "pattern": "Value #F",
              "thresholds": [
                "60",
                "80"
              ],
              "type": "number",
              "unit": "percentunit"
            },
            {
              "alias": "进程数",
              "align": "auto",
              "colorMode": null,
              "colors": [
                "rgba(245, 54, 54, 0.9)",
                "rgba(237, 129, 40, 0.89)",
                "rgba(50, 172, 45, 0.97)"
              ],
              "dateFormat": "YYYY-MM-DD HH:mm:ss",
              "decimals": 2,
              "link": false,
              "mappingType": 1,
              "pattern": "Value #G",
              "thresholds": [],
              "type": "string",
              "unit": "short"
            },
            {
              "alias": "运行服务",
              "align": "auto",
              "colorMode": null,
              "colors": [
                "rgba(245, 54, 54, 0.9)",
                "rgba(237, 129, 40, 0.89)",
                "rgba(50, 172, 45, 0.97)"
              ],
              "dateFormat": "YYYY-MM-DD HH:mm:ss",
              "decimals": 2,
              "mappingType": 1,
              "pattern": "Value #H",
              "thresholds": [],
              "type": "string",
              "unit": "short"
            },
            {
              "alias": "CPU使用率",
              "align": "auto",
              "colorMode": "cell",
              "colors": [
                "rgba(50, 172, 45, 0.97)",
                "rgba(237, 129, 40, 0.89)",
                "rgba(245, 54, 54, 0.9)"
              ],
              "dateFormat": "YYYY-MM-DD HH:mm:ss",
              "decimals": 2,
              "mappingType": 1,
              "pattern": "Value #I",
              "thresholds": [
                "50",
                "70"
              ],
              "type": "number",
              "unit": "percent"
            },
            {
              "alias": "内存使用率",
              "align": "auto",
              "colorMode": "cell",
              "colors": [
                "rgba(50, 172, 45, 0.97)",
                "rgba(237, 129, 40, 0.89)",
                "rgba(245, 54, 54, 0.9)"
              ],
              "dateFormat": "YYYY-MM-DD HH:mm:ss",
              "decimals": 2,
              "mappingType": 1,
              "pattern": "Value #J",
              "thresholds": [
                "60",
                "80"
              ],
              "type": "number",
              "unit": "percent"
            },
            {
              "alias": "CPU频率",
              "align": "auto",
              "colorMode": null,
              "colors": [
                "rgba(245, 54, 54, 0.9)",
                "rgba(237, 129, 40, 0.89)",
                "rgba(50, 172, 45, 0.97)"
              ],
              "dateFormat": "YYYY-MM-DD HH:mm:ss",
              "decimals": 2,
              "mappingType": 1,
              "pattern": "Value #K",
              "thresholds": [],
              "type": "number",
              "unit": "rothz"
            },
            {
              "alias": "",
              "align": "right",
              "colorMode": null,
              "colors": [
                "rgba(245, 54, 54, 0.9)",
                "rgba(237, 129, 40, 0.89)",
                "rgba(50, 172, 45, 0.97)"
              ],
              "decimals": 2,
              "pattern": "/.*/",
              "thresholds": [],
              "type": "hidden",
              "unit": "short"
            }
          ],
          "targets": [
            {
              "expr": "windows_os_info{job=~\"$job\"} * on(instance) group_right(product) windows_cs_hostname",
              "format": "table",
              "instant": true,
              "interval": "",
              "legendFormat": "",
              "refId": "A"
            },
            {
              "expr": "time() - windows_system_system_up_time{job=~\"$job\"}",
              "format": "table",
              "instant": true,
              "interval": "",
              "legendFormat": "",
              "refId": "D"
            },
            {
              "expr": "windows_cs_logical_processors{job=~\"$job\"} - 0",
              "format": "table",
              "instant": true,
              "interval": "",
              "legendFormat": "",
              "refId": "B"
            },
            {
              "expr": "avg by (instance) (windows_cpu_core_frequency_mhz{job=~\"$job\"})",
              "format": "table",
              "instant": true,
              "interval": "",
              "legendFormat": "",
              "refId": "K"
            },
            {
              "expr": "100 - (avg by (instance) (irate(windows_cpu_time_total{job=~\"$job\",mode=\"idle\"}[2m])) * 100)",
              "format": "table",
              "instant": true,
              "interval": "",
              "legendFormat": "CPU使用率",
              "refId": "I"
            },
            {
              "expr": "windows_cs_physical_memory_bytes{job=~\"$job\"} - 0",
              "format": "table",
              "instant": true,
              "interval": "",
              "legendFormat": "",
              "refId": "C"
            },
            {
              "expr": "100 - 100 * windows_os_physical_memory_free_bytes{job=~\"$job\"} / windows_cs_physical_memory_bytes{job=~\"$job\"}",
              "format": "table",
              "instant": true,
              "interval": "",
              "legendFormat": "内存使用率",
              "refId": "J"
            },
            {
              "expr": "1 - (windows_logical_disk_free_bytes{job=~\"$job\",volume=~\"C:\"}/windows_logical_disk_size_bytes{job=~\"$job\",volume=~\"C:\"})",
              "format": "table",
              "instant": true,
              "interval": "",
              "legendFormat": "",
              "refId": "E"
            },
            {
              "expr": "max by (instance) (1-windows_logical_disk_free_bytes/windows_logical_disk_size_bytes)",
              "format": "table",
              "instant": true,
              "interval": "",
              "legendFormat": "",
              "refId": "F"
            },
            {
              "expr": "windows_os_processes{job=~\"$job\"}",
              "format": "table",
              "instant": true,
              "interval": "",
              "legendFormat": "",
              "refId": "G"
            },
            {
              "expr": "sum by (instance) (windows_service_state{job=~\"$job\",state=~\"running\"})",
              "format": "table",
              "instant": true,
              "interval": "",
              "legendFormat": "",
              "refId": "H"
            }
          ],
          "timeFrom": null,
          "timeShift": null,
          "title": "$job：服务器资源总览",
          "transform": "table",
          "type": "table-old"
        },
        {
          "aliasColors": {},
          "bars": false,
          "dashLength": 10,
          "dashes": false,
          "datasource": "Prometheus",
          "decimals": 1,
          "fieldConfig": {
            "defaults": {
              "custom": {}
            },
            "overrides": []
          },
          "fill": 1,
          "fillGradient": 0,
          "gridPos": {
            "h": 6,
            "w": 8,
            "x": 0,
            "y": 7
          },
          "hiddenSeries": false,
          "id": 47,
          "legend": {
            "alignAsTable": true,
            "avg": true,
            "current": true,
            "max": true,
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            "rightSide": true,
            "show": false,
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            "total": false,
            "values": true
          },
          "lines": true,
          "linewidth": 1,
          "links": [],
          "nullPointMode": "null",
          "paceLength": 10,
          "percentage": false,
          "pluginVersion": "7.1.5",
          "pointradius": 5,
          "points": false,
          "renderer": "flot",
          "seriesOverrides": [],
          "spaceLength": 10,
          "stack": false,
          "steppedLine": false,
          "targets": [
            {
              "expr": "100 - (avg by (instance) (irate(windows_cpu_time_total{job=~\"$job\",mode=\"idle\"}[2m])) * 100)",
              "hide": false,
              "interval": "",
              "intervalFactor": 1,
              "legendFormat": "{
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              "refId": "B"
            }
          ],
          "thresholds": [],
          "timeFrom": null,
          "timeRegions": [],
          "timeShift": null,
          "title": "各主机CPU使用率",
          "tooltip": {
            "shared": true,
            "sort": 2,
            "value_type": "cumulative"
          },
          "type": "graph",
          "xaxis": {
            "buckets": null,
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            "name": null,
            "show": true,
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          },
          "yaxes": [
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              "label": null,
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            }
          ],
          "yaxis": {
            "align": false,
            "alignLevel": null
          }
        },
        {
          "aliasColors": {},
          "bars": false,
          "dashLength": 10,
          "dashes": false,
          "datasource": "Prometheus",
          "decimals": 1,
          "fieldConfig": {
            "defaults": {
              "custom": {}
            },
            "overrides": []
          },
          "fill": 1,
          "fillGradient": 0,
          "gridPos": {
            "h": 6,
            "w": 8,
            "x": 8,
            "y": 7
          },
          "hiddenSeries": false,
          "id": 56,
          "legend": {
            "alignAsTable": true,
            "avg": true,
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            "values": true
          },
          "lines": true,
          "linewidth": 1,
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          "nullPointMode": "null",
          "paceLength": 10,
          "percentage": false,
          "pluginVersion": "7.1.5",
          "pointradius": 5,
          "points": false,
          "renderer": "flot",
          "seriesOverrides": [],
          "spaceLength": 10,
          "stack": false,
          "steppedLine": false,
          "targets": [
            {
              "expr": "utilization_gpu",
              "hide": false,
              "interval": "",
              "intervalFactor": 1,
              "legendFormat": "{
       {instance}}_GPU",
              "refId": "B"
            }
          ],
          "thresholds": [],
          "timeFrom": null,
          "timeRegions": [],
          "timeShift": null,
          "title": "各主机GPU使用率",
          "tooltip": {
            "shared": true,
            "sort": 2,
            "value_type": "cumulative"
          },
          "type": "graph",
          "xaxis": {
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            "name": null,
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          "yaxes": [
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            }
          ],
          "yaxis": {
            "align": false,
            "alignLevel": null
          }
        },
        {
          "aliasColors": {
            "Free Physical memory": "semi-dark-green",
            "Free physical memory": "semi-dark-green",
            "Free virtual memory": "super-light-blue",
            "Physical memory": "dark-red",
            "Virtual memory": "dark-blue"
          },
          "bars": false,
          "dashLength": 10,
          "dashes": false,
          "datasource": "Prometheus",
          "fieldConfig": {
            "defaults": {
              "custom": {}
            },
            "overrides": []
          },
          "fill": 1,
          "fillGradient": 1,
          "gridPos": {
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            "w": 8,
            "x": 16,
            "y": 7
          },
          "hiddenSeries": false,
          "hideTimeOverride": false,
          "id": 49,
          "legend": {
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            "rightSide": true,
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            "sort": "current",
            "sortDesc": true,
            "total": false,
            "values": true
          },
          "lines": true,
          "linewidth": 2,
          "links": [],
          "nullPointMode": "null",
          "percentage": false,
          "pluginVersion": "7.1.5",
          "pointradius": 5,
          "points": false,
          "renderer": "flot",
          "seriesOverrides": [
            {
              "alias": "/.*Physical.*/",
              "linewidth": 3
            }
          ],
          "spaceLength": 10,
          "stack": false,
          "steppedLine": false,
          "targets": [
            {
              "expr": "100.0 - 100 * windows_os_physical_memory_free_bytes{job=~\"$job\"} / windows_cs_physical_memory_bytes{job=~\"$job\"}",
              "instant": false,
              "interval": "",
              "legendFormat": "{
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              "refId": "A"
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          ],
          "thresholds": [],
          "timeFrom": null,
          "timeRegions": [],
          "timeShift": null,
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          "tooltip": {
            "shared": true,
            "sort": 0,
            "value_type": "individual"
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          "type": "graph",
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          "yaxis": {
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            "alignLevel": null
          }
        },
        {
          "aliasColors": {},
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          "datasource": "Prometheus",
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          "fillGradient": 0,
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          },
          "hiddenSeries": false,
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          "legend": {
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          "targets": [
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              "expr": "temperature_gpu",
              "hide": false,
              "interval": "",
              "intervalFactor": 1,
              "legendFormat": "{
       {instance}}_GPU",
              "refId": "B"
            }
          ],
          "thresholds": [],
          "timeFrom": null,
          "timeRegions": [],
          "timeShift": null,
          "title": "各主机GPU温度",
          "tooltip": {
            "shared": true,
            "sort": 2,
            "value_type": "cumulative"
          },
          "type": "graph",
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            "x": 5,
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          "spaceLength": 10,
          "stack": false,
          "steppedLine": false,
          "targets": [
            {
              "application": {
                "filter": ""
              },
              "expr": "irate(windows_logical_disk_reads_total{job=~\"$job\",instance=~\"$instance\"}[5m])",
              "format": "time_series",
              "functions": [],
              "group": {
                "filter": ""
              },
              "hide": false,
              "host": {
                "filter": ""
              },
              "intervalFactor": 1,
              "item": {
                "filter": ""
              },
              "legendFormat": "read {
       {volume}}",
              "metric": "mysql_global_status_questions",
              "mode": 0,
              "options": {
                "showDisabledItems": false
              },
              "refId": "B",
              "step": 20
            },
            {
              "application": {
                "filter": ""
              },
              "expr": "irate(windows_logical_disk_writes_total{job=~\"$job\",instance=~\"$instance\"}[5m])",
              "format": "time_series",
              "functions": [],
              "group": {
                "filter": ""
              },
              "hide": false,
              "host": {
                "filter": ""
              },
              "intervalFactor": 1,
              "item": {
                "filter": ""
              },
              "legendFormat": "write {
       {volume}}",
              "metric": "mysql_global_status_questions",
              "mode": 0,
              "options": {
                "showDisabledItems": false
              },
              "refId": "C",
              "step": 20
            }
          ],
          "thresholds": [],
          "timeFrom": null,
          "timeRegions": [],
          "timeShift": null,
          "title": "磁盘IO",
          "tooltip": {
            "shared": true,
            "sort": 0,
            "value_type": "individual"
          },
          "type": "graph",
          "xaxis": {
            "buckets": null,
            "mode": "time",
            "name": null,
            "show": true,
            "values": []
          },
          "yaxes": [
            {
              "format": "iops",
              "label": null,
              "logBase": 1,
              "max": null,
              "min": null,
              "show": true
            },
            {
              "format": "short",
              "label": null,
              "logBase": 1,
              "max": null,
              "min": null,
              "show": true
            }
          ],
          "yaxis": {
            "align": false,
            "alignLevel": null
          }
        },
        {
          "aliasColors": {},
          "bars": true,
          "dashLength": 10,
          "dashes": false,
          "datasource": "Prometheus",
          "decimals": 2,
          "fieldConfig": {
            "defaults": {
              "custom": {}
            },
            "overrides": []
          },
          "fill": 1,
          "fillGradient": 0,
          "gridPos": {
            "h": 6,
            "w": 6,
            "x": 0,
            "y": 42
          },
          "hiddenSeries": false,
          "hideTimeOverride": false,
          "id": 29,
          "legend": {
            "alignAsTable": true,
            "avg": true,
            "current": false,
            "max": true,
            "min": true,
            "rightSide": false,
            "show": false,
            "total": false,
            "values": true
          },
          "lines": false,
          "linewidth": 1,
          "links": [],
          "nullPointMode": "null",
          "paceLength": 10,
          "percentage": false,
          "pluginVersion": "7.1.5",
          "pointradius": 5,
          "points": false,
          "renderer": "flot",
          "seriesOverrides": [],
          "spaceLength": 10,
          "stack": true,
          "steppedLine": false,
          "targets": [
            {
              "expr": "(irate(windows_net_bytes_total{job=~\"$job\",instance=~\"$instance\",nic!~'isatap.*|VPN.*'}[5m]) * 8 / windows_net_current_bandwidth{job=~\"$job\",instance=~\"$instance\",nic!~'isatap.*|VPN.*'}) * 100",
              "legendFormat": "{
       {nic}}",
              "refId": "A"
            }
          ],
          "thresholds": [],
          "timeFrom": null,
          "timeRegions": [],
          "timeShift": null,
          "title": "网络使用率",
          "tooltip": {
            "shared": true,
            "sort": 0,
            "value_type": "individual"
          },
          "type": "graph",
          "xaxis": {
            "buckets": null,
            "mode": "time",
            "name": null,
            "show": true,
            "values": []
          },
          "yaxes": [
            {
              "format": "percent",
              "label": null,
              "logBase": 1,
              "max": null,
              "min": null,
              "show": true
            },
            {
              "format": "bytes",
              "label": null,
              "logBase": 1,
              "max": null,
              "min": null,
              "show": true
            }
          ],
          "yaxis": {
            "align": false,
            "alignLevel": null
          }
        },
        {
          "aliasColors": {},
          "bars": false,
          "dashLength": 10,
          "dashes": false,
          "datasource": "Prometheus",
          "fieldConfig": {
            "defaults": {
              "custom": {}
            },
            "overrides": []
          },
          "fill": 1,
          "fillGradient": 0,
          "gridPos": {
            "h": 6,
            "w": 6,
            "x": 6,
            "y": 42
          },
          "hiddenSeries": false,
          "hideTimeOverride": false,
          "id": 10,
          "legend": {
            "alignAsTable": false,
            "avg": false,
            "current": true,
            "max": false,
            "min": false,
            "rightSide": false,
            "show": true,
            "total": false,
            "values": true
          },
          "lines": true,
          "linewidth": 1,
          "links": [],
          "nullPointMode": "null as zero",
          "percentage": false,
          "pluginVersion": "7.1.5",
          "pointradius": 5,
          "points": false,
          "renderer": "flot",
          "seriesOverrides": [],
          "spaceLength": 10,
          "stack": false,
          "steppedLine": false,
          "targets": [
            {
              "application": {
                "filter": ""
              },
              "expr": "irate(windows_net_packets_outbound_discarded{job=~\"$job\",instance=~\"$instance\", nic!~'isatap.*|VPN.*'}[5m]) + irate(windows_net_packets_outbound_errors{job=~\"$job\",instance=~\"$instance\"}[5m])",
              "format": "time_series",
              "functions": [],
              "group": {
                "filter": ""
              },
              "hide": false,
              "host": {
                "filter": ""
              },
              "interval": "",
              "intervalFactor": 1,
              "item": {
                "filter": ""
              },
              "legendFormat": "outbound",
              "metric": "mysql_global_status_questions",
              "mode": 0,
              "options": {
                "showDisabledItems": false
              },
              "refId": "B",
              "step": 15
            },
            {
              "application": {
                "filter": ""
              },
              "expr": "irate(windows_net_packets_received_discarded{job=~\"$job\",instance=~\"$instance\", nic!~'isatap.*|VPN.*'}[5m]) + irate(windows_net_packets_received_errors{job=~\"$job\",instance=~\"$instance\"}[5m])",
              "format": "time_series",
              "functions": [],
              "group": {
                "filter": ""
              },
              "hide": false,
              "host": {
                "filter": ""
              },
              "interval": "",
              "intervalFactor": 1,
              "item": {
                "filter": ""
              },
              "legendFormat": "received",
              "metric": "mysql_global_status_questions",
              "mode": 0,
              "options": {
                "showDisabledItems": false
              },
              "refId": "A",
              "step": 15
            }
          ],
          "thresholds": [],
          "timeFrom": null,
          "timeRegions": [],
          "timeShift": null,
          "title": "Network discarded/error packets",
          "tooltip": {
            "shared": true,
            "sort": 2,
            "value_type": "individual"
          },
          "type": "graph",
          "xaxis": {
            "buckets": null,
            "mode": "time",
            "name": null,
            "show": true,
            "values": []
          },
          "yaxes": [
            {
              "format": "pps",
              "label": null,
              "logBase": 1,
              "max": null,
              "min": null,
              "show": true
            },
            {
              "format": "short",
              "label": null,
              "logBase": 1,
              "max": null,
              "min": null,
              "show": true
            }
          ],
          "yaxis": {
            "align": false,
            "alignLevel": null
          }
        },
        {
          "aliasColors": {},
          "bars": false,
          "dashLength": 10,
          "dashes": false,
          "datasource": "Prometheus",
          "fieldConfig": {
            "defaults": {
              "custom": {}
            },
            "overrides": []
          },
          "fill": 1,
          "fillGradient": 0,
          "gridPos": {
            "h": 6,
            "w": 6,
            "x": 12,
            "y": 42
          },
          "hiddenSeries": false,
          "hideTimeOverride": false,
          "id": 12,
          "legend": {
            "alignAsTable": false,
            "avg": false,
            "current": true,
            "max": false,
            "min": false,
            "rightSide": false,
            "show": true,
            "total": false,
            "values": true
          },
          "lines": true,
          "linewidth": 1,
          "links": [],
          "nullPointMode": "null as zero",
          "percentage": false,
          "pluginVersion": "7.1.5",
          "pointradius": 5,
          "points": false,
          "renderer": "flot",
          "seriesOverrides": [],
          "spaceLength": 10,
          "stack": false,
          "steppedLine": false,
          "targets": [
            {
              "application": {
                "filter": ""
              },
              "expr": "windows_system_threads{job=~\"$job\",instance=~\"$instance\"}",
              "format": "time_series",
              "functions": [],
              "group": {
                "filter": ""
              },
              "hide": false,
              "host": {
                "filter": ""
              },
              "interval": "",
              "intervalFactor": 1,
              "item": {
                "filter": ""
              },
              "legendFormat": "system_threads",
              "metric": "mysql_global_status_questions",
              "mode": 0,
              "options": {
                "showDisabledItems": false
              },
              "refId": "A",
              "step": 20
            }
          ],
          "thresholds": [],
          "timeFrom": null,
          "timeRegions": [],
          "timeShift": null,
          "title": "system_threads",
          "tooltip": {
            "shared": false,
            "sort": 0,
            "value_type": "individual"
          },
          "type": "graph",
          "xaxis": {
            "buckets": null,
            "mode": "time",
            "name": null,
            "show": true,
            "values": []
          },
          "yaxes": [
            {
              "format": "none",
              "label": null,
              "logBase": 1,
              "max": null,
              "min": null,
              "show": true
            },
            {
              "format": "short",
              "label": null,
              "logBase": 1,
              "max": null,
              "min": null,
              "show": true
            }
          ],
          "yaxis": {
            "align": false,
            "alignLevel": null
          }
        },
        {
          "aliasColors": {},
          "bars": false,
          "dashLength": 10,
          "dashes": false,
          "datasource": "Prometheus",
          "fieldConfig": {
            "defaults": {
              "custom": {}
            },
            "overrides": []
          },
          "fill": 1,
          "fillGradient": 0,
          "gridPos": {
            "h": 6,
            "w": 6,
            "x": 18,
            "y": 42
          },
          "hiddenSeries": false,
          "hideTimeOverride": false,
          "id": 13,
          "legend": {
            "alignAsTable": false,
            "avg": false,
            "current": true,
            "max": true,
            "min": false,
            "rightSide": false,
            "show": true,
            "total": false,
            "values": true
          },
          "lines": true,
          "linewidth": 1,
          "links": [],
          "nullPointMode": "null as zero",
          "percentage": false,
          "pluginVersion": "7.1.5",
          "pointradius": 5,
          "points": false,
          "renderer": "flot",
          "seriesOverrides": [],
          "spaceLength": 10,
          "stack": false,
          "steppedLine": false,
          "targets": [
            {
              "application": {
                "filter": ""
              },
              "expr": "irate(windows_system_exception_dispatches_total{job=~\"$job\",instance=~\"$instance\"}[5m])",
              "format": "time_series",
              "functions": [],
              "group": {
                "filter": ""
              },
              "hide": false,
              "host": {
                "filter": ""
              },
              "interval": "",
              "intervalFactor": 1,
              "item": {
                "filter": ""
              },
              "legendFormat": "exceptions",
              "metric": "mysql_global_status_questions",
              "mode": 0,
              "options": {
                "showDisabledItems": false
              },
              "refId": "A",
              "step": 20
            }
          ],
          "thresholds": [],
          "timeFrom": null,
          "timeRegions": [],
          "timeShift": null,
          "title": "System exception dispatches",
          "tooltip": {
            "shared": false,
            "sort": 0,
            "value_type": "individual"
          },
          "type": "graph",
          "xaxis": {
            "buckets": null,
            "mode": "time",
            "name": null,
            "show": true,
            "values": []
          },
          "yaxes": [
            {
              "format": "short",
              "label": null,
              "logBase": 1,
              "max": null,
              "min": null,
              "show": true
            },
            {
              "format": "short",
              "label": null,
              "logBase": 1,
              "max": null,
              "min": null,
              "show": true
            }
          ],
          "yaxis": {
            "align": false,
            "alignLevel": null
          }
        }
      ],
      "refresh": false,
      "schemaVersion": 26,
      "style": "dark",
      "tags": [
        "Prometheus",
        "windows_exporter"
      ],
      "templating": {
        "list": [
          {
            "allValue": null,
            "current": {
              "selected": false,
              "text": "Win-225",
              "value": "Win-225"
            },
            "datasource": "Prometheus",
            "definition": "label_values(windows_cs_hostname, job)",
            "hide": 0,
            "includeAll": false,
            "label": "JOB",
            "multi": false,
            "name": "job",
            "options": [],
            "query": "label_values(windows_cs_hostname, job)",
            "refresh": 1,
            "regex": "",
            "skipUrlSync": false,
            "sort": 1,
            "tagValuesQuery": "",
            "tags": [],
            "tagsQuery": "",
            "type": "query",
            "useTags": false
          },
          {
            "allValue": null,
            "current": {
              "selected": false,
              "text": "All",
              "value": "$__all"
            },
            "datasource": "Prometheus",
            "definition": "label_values(windows_cs_hostname{job=~\"$job\"}, hostname)",
            "hide": 0,
            "includeAll": true,
            "label": "主机名",
            "multi": false,
            "name": "hostname",
            "options": [],
            "query": "label_values(windows_cs_hostname{job=~\"$job\"}, hostname)",
            "refresh": 1,
            "regex": "",
            "skipUrlSync": false,
            "sort": 5,
            "tagValuesQuery": "",
            "tags": [],
            "tagsQuery": "",
            "type": "query",
            "useTags": false
          },
          {
            "allValue": null,
            "current": {
              "selected": false,
              "text": "10.0.50.225:9182",
              "value": "10.0.50.225:9182"
            },
            "datasource": "Prometheus",
            "definition": "label_values(windows_cs_hostname{job=~\"$job\",hostname=~\"$hostname\"}, instance)",
            "hide": 0,
            "includeAll": false,
            "label": "instance",
            "multi": false,
            "name": "instance",
            "options": [],
            "query": "label_values(windows_cs_hostname{job=~\"$job\",hostname=~\"$hostname\"}, instance)",
            "refresh": 1,
            "regex": "",
            "skipUrlSync": false,
            "sort": 5,
            "tagValuesQuery": "",
            "tags": [],
            "tagsQuery": "",
            "type": "query",
            "useTags": false
          },
          {
            "allValue": null,
            "current": {
              "selected": false,
              "text": "SKY-20190610LFO",
              "value": "SKY-20190610LFO"
            },
            "datasource": "Prometheus",
            "definition": "label_values(windows_cs_hostname{job=~\"$job\",instance=~\"$instance\"}, hostname)",
            "hide": 2,
            "includeAll": false,
            "label": "展示使用的主机名",
            "multi": false,
            "name": "show_hostname",
            "options": [],
            "query": "label_values(windows_cs_hostname{job=~\"$job\",instance=~\"$instance\"}, hostname)",
            "refresh": 1,
            "regex": "",
            "skipUrlSync": false,
            "sort": 0,
            "tagValuesQuery": "",
            "tags": [],
            "tagsQuery": "",
            "type": "query",
            "useTags": false
          }
        ]
      },
      "time": {
        "from": "now-3h",
        "to": "now"
      },
      "timepicker": {
        "refresh_intervals": [
          "10s",
          "30s",
          "1m",
          "5m",
          "15m",
          "30m",
          "1h",
          "2h",
          "1d"
        ],
        "time_options": [
          "5m",
          "15m",
          "1h",
          "6h",
          "12h",
          "24h",
          "2d",
          "7d",
          "30d"
        ]
      },
      "timezone": "",
      "title": "Windows Overriew",
      "uid": "Kdh0OoSGz",
      "version": 2
    }

# 6. 自动化启动脚本 #

@echo off
    echo.
    echo Windows指标采集[开始准备]
    echo.
    
    echo CPU\Mem\Disk\Net采集[开始]
    echo 依赖于windows_exporter-0.13.0-amd64服务，完成安装后会自动创建一个开机自启的服务，通过服务(services.msc)判断有windows_exporter
    echo CPU\Mem\Disk\Net采集[开始]-- 可以通过 http://localhost:9182/metrics 访问
    
    
    echo GPU采集[开始]
    start /d "D:\JT\java\prometheus\nvidia_smi_exporter" nvidia_smi_exporter.exe & ping localhost -n 2
    ::urlstatus=$(curl -X GET -i  http://localhost:9101/metrics  | grep 200)
    ::if [ "$urlstatus" != "" ];then
    ::	echo "GPU采集准备好了" 
    ::fi
    echo "GPU采集[完成]-- 可以通过 http://localhost:9101/metrics 访问"
    
    echo Prometheus[开始]
    start /d "D:\JT\java\prometheus\prometheus-2.19.2.windows-amd64" prometheus.exe --config.file=prometheus.yml --web.listen-address=:9090 & ping localhost -n 30
    echo Prometheus[完成] -- 可以通过 http://localhost:9090 访问
    
    echo Grafana[开始]
    start /d "D:\JT\java\prometheus\grafana-7.1.5.windows-amd64\grafana-7.1.5\bin" grafana-server.exe & ping localhost -n 30
    echo Grafana[完成] -- 可以通过 http://localhost:3000/d/Kdh0OoSGz/win-162?orgId=1 访问 【账号：admin 密码：123456】
    
    ::执行完命令后关闭cmd命令窗口
    ::设置开机时运行
    ::bat脚本复制到此文件夹C:\ProgramData\Microsoft\Windows\Start Menu\Programs\StartUp
    echo Windows指标采集[准备完毕]
    ::taskkill /f /im cmd.exe
    ::exit
    pause

[https_github.com_martinlindhe_wmi_exporter_releases]: https://github.com/martinlindhe/wmi_exporter/releases
[https_github.com_zhebrak_nvidia_smi_exporter]: https://github.com/zhebrak/nvidia_smi_exporter
[https_prometheus.io_download]: https://prometheus.io/download/
[https_grafana.com_grafana_download]: https://grafana.com/grafana/download
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[https_golang.google.cn_dl]: https://golang.google.cn/dl/
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