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

 

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

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

Name Description Enabled by default
ad Active Directory Domain Services  
adfs Active Directory Federation Services  
cpu CPU usage
cs "Computer System" metrics (system properties, num cpus/total memory)
container Container metrics  
dhcp DHCP Server  
dns DNS Server  
exchange Exchange metrics  
fsrmquota Microsoft File Server Resource Manager (FSRM) Quotas collector  
hyperv Hyper-V hosts  
iis IIS sites and applications  
logical_disk Logical disks, disk I/O
logon User logon sessions  
memory Memory usage metrics  
msmq MSMQ queues  
mssql SQL Server Performance Objects metrics  
netframework_clrexceptions .NET Framework CLR Exceptions  
netframework_clrinterop .NET Framework Interop Metrics  
netframework_clrjit .NET Framework JIT metrics  
netframework_clrloading .NET Framework CLR Loading metrics  
netframework_clrlocksandthreads .NET Framework locks and metrics threads  
netframework_clrmemory .NET Framework Memory metrics  
netframework_clrremoting .NET Framework Remoting metrics  
netframework_clrsecurity .NET Framework Security Check metrics  
net Network interface I/O
os OS metrics (memory, processes, users)
process Per-process metrics  
remote_fx RemoteFX protocol (RDP) metrics  
service Service state metrics
system System calls
tcp TCP connections  
thermalzone Thermal information  
terminal_services Terminal services (RDS)  
textfile Read prometheus metrics from a text file
vmware Performance counters installed by the Vmware Guest agent  

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

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/      

选择windows 版本即可

grafana-7.1.5.windows-amd64

下载地址: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

Windows监控:基于Prometheus+Grafana监控CPU、内存、磁盘、网络、GPU信息_第1张图片

  • 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。

Windows监控:基于Prometheus+Grafana监控CPU、内存、磁盘、网络、GPU信息_第2张图片

3. 安装nvidia_smi_exporter

依赖于go的编译环境

go的下载: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 []

Default port is 9101

访问:localhost:9101/metrics

Windows监控:基于Prometheus+Grafana监控CPU、内存、磁盘、网络、GPU信息_第3张图片

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=` 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=` 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 &

Windows监控:基于Prometheus+Grafana监控CPU、内存、磁盘、网络、GPU信息_第4张图片

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。)

Windows监控:基于Prometheus+Grafana监控CPU、内存、磁盘、网络、GPU信息_第5张图片

Windows监控:基于Prometheus+Grafana监控CPU、内存、磁盘、网络、GPU信息_第6张图片

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

Windows监控:基于Prometheus+Grafana监控CPU、内存、磁盘、网络、GPU信息_第7张图片

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

Windows监控:基于Prometheus+Grafana监控CPU、内存、磁盘、网络、GPU信息_第8张图片

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=~\"$job\"}",
          "format": "table",
          "instant": true,
          "interval": "",
          "legendFormat": "",
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        "values": []
      },
      "yaxes": [
        {
          "format": "none",
          "label": null,
          "logBase": 1,
          "max": null,
          "min": null,
          "show": true
        },
        {
          "format": "short",
          "label": null,
          "logBase": 1,
          "max": null,
          "min": null,
          "show": true
        }
      ],
      "yaxis": {
        "align": false,
        "alignLevel": null
      }
    },
    {
      "aliasColors": {},
      "bars": false,
      "dashLength": 10,
      "dashes": false,
      "datasource": "Prometheus",
      "fieldConfig": {
        "defaults": {
          "custom": {}
        },
        "overrides": []
      },
      "fill": 1,
      "fillGradient": 0,
      "gridPos": {
        "h": 6,
        "w": 6,
        "x": 18,
        "y": 42
      },
      "hiddenSeries": false,
      "hideTimeOverride": false,
      "id": 13,
      "legend": {
        "alignAsTable": false,
        "avg": false,
        "current": true,
        "max": true,
        "min": false,
        "rightSide": false,
        "show": true,
        "total": false,
        "values": true
      },
      "lines": true,
      "linewidth": 1,
      "links": [],
      "nullPointMode": "null as zero",
      "percentage": false,
      "pluginVersion": "7.1.5",
      "pointradius": 5,
      "points": false,
      "renderer": "flot",
      "seriesOverrides": [],
      "spaceLength": 10,
      "stack": false,
      "steppedLine": false,
      "targets": [
        {
          "application": {
            "filter": ""
          },
          "expr": "irate(windows_system_exception_dispatches_total{job=~\"$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

 

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