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nightingale/integrations/VMware/dashboards/vsphere.json

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  1. {

  2.   "name": "Vsphere",

  3.   "tags": "Categraf Nightingale VMware-Sphere",

  4.   "ident": "",

  5.   "configs": {

  6.     "var": [

  7.       {

  8.         "name": "datasource",

  9.         "type": "datasource",

  10.         "definition": "prometheus",

  11.         "defaultValue": 2

  12.       },

  13.       {

  14.         "name": "vcenter",

  15.         "type": "query",

  16.         "datasource": {

  17.           "cate": "prometheus",

  18.           "value": "${datasource}"

  19.         },

  20.         "definition": "vsphere_host_cpu_usage_average",

  21.         "reg": "/.*vcenter=\"(.*?)\".*/",

  22.         "multi": false

  23.       },

  24.       {

  25.         "name": "cluster",

  26.         "type": "query",

  27.         "datasource": {

  28.           "cate": "prometheus",

  29.           "value": "${datasource}"

  30.         },

  31.         "definition": "vsphere_host_cpu_usage_average{vcenter=\"$vcenter\"}",

  32.         "reg": "/.*clustername=\"(.*?)\".*/"

  33.       },

  34.       {

  35.         "name": "esxi",

  36.         "type": "query",

  37.         "datasource": {

  38.           "cate": "prometheus",

  39.           "value": "${datasource}"

  40.         },

  41.         "definition": "vsphere_host_cpu_usage_average{vcenter=\"$vcenter\"}",

  42.         "reg": "/.*esxhostname=\"(.*?)\".*/"

  43.       },

  44.       {

  45.         "name": "vmname",

  46.         "type": "query",

  47.         "datasource": {

  48.           "cate": "prometheus",

  49.           "value": "${datasource}"

  50.         },

  51.         "definition": "vsphere_vm_sys_uptime_latest{vcenter=\"$vcenter\"}",

  52.         "reg": "/.*vmname=\"(.*?)\".*/"

  53.       },

  54.       {

  55.         "name": "datastore",

  56.         "type": "query",

  57.         "datasource": {

  58.           "cate": "prometheus",

  59.           "value": "${datasource}"

  60.         },

  61.         "definition": "vsphere_datastore_disk_provisioned_latest{vcenter=\"$vcenter\"}",

  62.         "reg": "/.*dsname=\"(.*?)\".*/"

  63.       }

  64.     ],

  65.     "panels": [

  66.       {

  67.         "type": "row",

  68.         "id": "0a149fdd-5c4c-4d09-857c-b16ca3e60f1f",

  69.         "name": "vSphere Overview",

  70.         "collapsed": true,

  71.         "layout": {

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  73.           "w": 24,

  74.           "x": 0,

  75.           "y": 0,

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  77.           "isResizable": false

  78.         },

  79.         "panels": []

  80.       },

  81.       {

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  90.           "isResizable": true

  91.         },

  92.         "version": "2.0.0",

  93.         "datasourceCate": "prometheus",

  94.         "targets": [

  95.           {

  96.             "refId": "A",

  97.             "expr": "count(count(vsphere_host_cpu_usage_average) by(vcenter))",

  98.             "legend": "vCenter Summary"

  99.           },

  100.           {

  101.             "expr": "count(count(vsphere_host_cpu_usage_average) by(clustername))",

  102.             "refId": "B",

  103.             "legend": "cluster Summary"

  104.           },

  105.           {

  106.             "expr": "count(count(vsphere_host_cpu_usage_average) by(esxhostname))",

  107.             "refId": "C",

  108.             "legend": "ESXi Summary"

  109.           },

  110.           {

  111.             "expr": "count(count(vsphere_vm_cpu_used_summation) by(vmname))",

  112.             "refId": "D",

  113.             "legend": "VM Summary"

  114.           },

  115.           {

  116.             "expr": "count(count(vsphere_datastore_disk_used_latest) by(dsname))",

  117.             "refId": "E",

  118.             "legend": "Datastore Summary"

  119.           }

  120.         ],

  121.         "name": "",

  122.         "custom": {

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  125.           "calc": "lastNotNull",

  126.           "valueField": "Value",

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  132.         },

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  135.           "thresholds": {

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  139.                 "value": null,

  140.                 "type": "base"

  141.               }

  142.             ]

  143.           }

  144.         },

  145.         "datasourceValue": "${datasource}"

  146.       },

  147.       {

  148.         "type": "barGauge",

  149.         "id": "6e2b4ee6-1f73-413a-a174-840490177541",

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  159.         "datasourceCate": "prometheus",

  160.         "targets": [

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  164.             "legend": "{{esxhostname}}"

  165.           }

  166.         ],

  167.         "name": "EXSI cpu使用率排名",

  168.         "custom": {

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  188.         },

  189.         "datasourceValue": "${datasource}"

  190.       },

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  204.         "targets": [

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  207.             "expr": "(sum(vsphere_host_mem_usage_average{}) by(esxhostname)/count(vsphere_host_mem_usage_average{}) by(esxhostname))",

  208.             "legend": "{{esxhostname}}"

  209.           }

  210.         ],

  211.         "name": "EXSI mem使用率排名",

  212.         "custom": {

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  228.               }

  229.             }

  230.           ],

  231.           "standardOptions": {}

  232.         },

  233.         "datasourceValue": "${datasource}"

  234.       },

  235.       {

  236.         "type": "barGauge",

  237.         "id": "d651d6eb-5e30-408c-ba7f-1823d960251a",

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  244.           "isResizable": true

  245.         },

  246.         "version": "2.0.0",

  247.         "datasourceCate": "prometheus",

  248.         "targets": [

  249.           {

  250.             "refId": "A",

  251.             "expr": "(sum(vsphere_vm_cpu_usage_average{}) by(vmname)/count(vsphere_vm_cpu_usage_average{}) by(vmname))",

  252.             "legend": "{{vmname}}"

  253.           }

  254.         ],

  255.         "name": "VM cpu使用率排名",

  256.         "custom": {

  257.           "calc": "lastNotNull",

  258.           "baseColor": "#9470ff",

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  260.           "sortOrder": "desc"

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  271.                 "to": 100

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  274.           ],

  275.           "standardOptions": {}

  276.         },

  277.         "datasourceValue": "${datasource}"

  278.       },

  279.       {

  280.         "type": "barGauge",

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  294.             "refId": "A",

  295.             "expr": "(sum(vsphere_vm_mem_usage_average{}) by(vmname)/count(vsphere_vm_mem_usage_average{}) by(vmname))",

  296.             "legend": "{{vmname}}"

  297.           }

  298.         ],

  299.         "name": "VM mem使用率排名",

  300.         "custom": {

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  319.           "standardOptions": {}

  320.         },

  321.         "datasourceValue": "${datasource}"

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  323.       {

  324.         "type": "row",

  325.         "id": "5329376c-2084-4f4d-b5f4-372cd702b643",

  326.         "name": "cluster Status",

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  355.             "legend": ""

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  383.         "datasourceValue": "${datasource}"

  384.       },

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  401.             "refId": "B",

  402.             "legend": "{{clustername}}"

  403.           }

  404.         ],

  405.         "name": "cluster CPU Usage %",

  406.         "maxPerRow": 4,

  407.         "options": {

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  411.           "legend": {

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  415.           "thresholds": {

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  432.           "stack": "off",

  433.           "scaleDistribution": {

  434.             "type": "linear"

  435.           }

  436.         },

  437.         "datasourceValue": "${datasource}"

  438.       },

  439.       {

  440.         "type": "timeseries",

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  449.         },

  450.         "version": "2.0.0",

  451.         "datasourceCate": "prometheus",

  452.         "targets": [

  453.           {

  454.             "expr": "(sum(vsphere_host_mem_usage_average{clustername=\"$cluster\",vcenter=\"$vcenter\"}) by(clustername)/count(vsphere_host_mem_usage_average{clustername=\"$cluster\",vcenter=\"$vcenter\"}) by(clustername))",

  455.             "refId": "B",

  456.             "legend": "{{clustername}}"

  457.           }

  458.         ],

  459.         "name": "cluster RAM Usage in %",

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  461.         "options": {

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  486.           "stack": "off",

  487.           "scaleDistribution": {

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  489.           }

  490.         },

  491.         "datasourceValue": "${datasource}"

  492.       },

  493.       {

  494.         "type": "timeseries",

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  503.         },

  504.         "version": "2.0.0",

  505.         "datasourceCate": "prometheus",

  506.         "targets": [

  507.           {

  508.             "expr": "(sum(vsphere_host_net_bytesRx_average{clustername=\"$cluster\",vcenter=\"$vcenter\"}) by(clustername))/1000 ",

  509.             "refId": "B",

  510.             "legend": "{{clustername}}-net_bytesRx"

  511.           },

  512.           {

  513.             "expr": "(sum(vsphere_host_net_bytesTx_average{clustername=\"$cluster\",vcenter=\"$vcenter\"}) by(clustername))/1000",

  514.             "refId": "A",

  515.             "legend": "{{clustername}}-net_bytesTx"

  516.           }

  517.         ],

  518.         "name": "cluster Network Usage",

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  520.         "options": {

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  552.         },

  553.         "datasourceValue": "${datasource}"

  554.       },

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  570.             "expr": "sum(vsphere_datastore_disk_capacity_latest{vcenter=\"$vcenter\"}) by(source) / 1024 / 1024",

  571.             "refId": "A",

  572.             "legend": "总量(GB)"

  573.           },

  574.           {

  575.             "expr": "sum(vsphere_datastore_disk_used_latest{vcenter=\"$vcenter\"}) by(source) / 1024 / 1024",

  576.             "refId": "B",

  577.             "legend": "使用量(GB)"

  578.           },

  579.           {

  580.             "expr": "sum(vsphere_datastore_disk_used_latest{vcenter=\"$vcenter\"}/vsphere_datastore_disk_capacity_latest{vcenter=\"$vcenter\"}) by(source)*100",

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  582.             "legend": "使用率(%)"

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  1242.           }

  1243.         },

  1244.         "datasourceValue": "${datasource}"

  1245.       }

  1246.     ],

  1247.     "version": "3.0.0",

  1248.     "datasourceValue": "Default"

  1249.   }

  1250. }