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            "metricName": "select",
            "timeGrain": "auto"
          },
          "azureLogAnalytics": {
            "query": "//change this example to create your own time series query\n<table name>                                                              //the table to query (e.g. Usage, Heartbeat, Perf)\n| where $__timeFilter(TimeGenerated)                                      //this is a macro used to show the full chart’s time range, choose the datetime column here\n| summarize count() by <group by column>, bin(TimeGenerated, $__interval) //change “group by column” to a column in your table, such as “Computer”. The $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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                "value": "auto"
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            "resultFormat": "time_series"
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          "queryType": "Azure Monitor",
          "refId": "B",
          "subscription": "$sub"
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      "type": "timeseries"
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          "azureLogAnalytics": {
            "query": "//change this example to create your own time series query\n<table name>                                                              //the table to query (e.g. Usage, Heartbeat, Perf)\n| where $__timeFilter(TimeGenerated)                                      //this is a macro used to show the full chart’s time range, choose the datetime column here\n| summarize count() by <group by column>, bin(TimeGenerated, $__interval) //change “group by column” to a column in your table, such as “Computer”. The $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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                "value": "Authentication"
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                "value": "auto"
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                "value": "PT1M"
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          "azureLogAnalytics": {
            "query": "//change this example to create your own time series query\n<table name>                                                              //the table to query (e.g. Usage, Heartbeat, Perf)\n| where $__timeFilter(TimeGenerated)                                      //this is a macro used to show the full chart’s time range, choose the datetime column here\n| summarize count() by <group by column>, bin(TimeGenerated, $__interval) //change “group by column” to a column in your table, such as “Computer”. The $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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            "top": "10"
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            "sort": [
              {
                "desc": true,
                "field": "Mean"
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      "id": 48,
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      "title": "Availability",
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    {
      "datasource": "$ds",
      "description": "The data comes from Storage metrics. It measures the availability of requests on Storage accounts.",
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          "values": false
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            "metricName": "select",
            "timeGrain": "auto"
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          "azureLogAnalytics": {
            "query": "//change this example to create your own time series query\n<table name>                                                              //the table to query (e.g. Usage, Heartbeat, Perf)\n| where $__timeFilter(TimeGenerated)                                      //this is a macro used to show the full chart’s time range, choose the datetime column here\n| summarize count() by <group by column>, bin(TimeGenerated, $__interval) //change “group by column” to a column in your table, such as “Computer”. The $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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            "resultFormat": "time_series"
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            "metricName": "select",
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          "azureLogAnalytics": {
            "query": "//change this example to create your own time series query\n<table name>                                                              //the table to query (e.g. Usage, Heartbeat, Perf)\n| where $__timeFilter(TimeGenerated)                                      //this is a macro used to show the full chart’s time range, choose the datetime column here\n| summarize count() by <group by column>, bin(TimeGenerated, $__interval) //change “group by column” to a column in your table, such as “Computer”. The $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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          "azureLogAnalytics": {
            "query": "//change this example to create your own time series query\n<table name>                                                              //the table to query (e.g. Usage, Heartbeat, Perf)\n| where $__timeFilter(TimeGenerated)                                      //this is a macro used to show the full chart’s time range, choose the datetime column here\n| summarize count() by <group by column>, bin(TimeGenerated, $__interval) //change “group by column” to a column in your table, such as “Computer”. The $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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            "metricName": "select",
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          "azureLogAnalytics": {
            "query": "//change this example to create your own time series query\n<table name>                                                              //the table to query (e.g. Usage, Heartbeat, Perf)\n| where $__timeFilter(TimeGenerated)                                      //this is a macro used to show the full chart’s time range, choose the datetime column here\n| summarize count() by <group by column>, bin(TimeGenerated, $__interval) //change “group by column” to a column in your table, such as “Computer”. The $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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                "text": "File Share",
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                "text": "1 day",
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            "top": "10"
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          "hide": false,
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          "azureLogAnalytics": {
            "query": "//change this example to create your own time series query\n<table name>                                                              //the table to query (e.g. Usage, Heartbeat, Perf)\n| where $__timeFilter(TimeGenerated)                                      //this is a macro used to show the full chart’s time range, choose the datetime column here\n| summarize count() by <group by column>, bin(TimeGenerated, $__interval) //change “group by column” to a column in your table, such as “Computer”. The $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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            "aggOptions": ["Average", "Minimum", "Maximum"],
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            "dimensionFilter": "*",
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                "text": "Geo type",
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                "text": "Authentication",
                "value": "Authentication"
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          "azureLogAnalytics": {
            "query": "//change this example to create your own time series query\n<table name>                                                              //the table to query (e.g. Usage, Heartbeat, Perf)\n| where $__timeFilter(TimeGenerated)                                      //this is a macro used to show the full chart’s time range, choose the datetime column here\n| summarize count() by <group by column>, bin(TimeGenerated, $__interval) //change “group by column” to a column in your table, such as “Computer”. The $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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            "query": "//change this example to create your own time series query\n<table name>                                                              //the table to query (e.g. Usage, Heartbeat, Perf)\n| where $__timeFilter(TimeGenerated)                                      //this is a macro used to show the full chart’s time range, choose the datetime column here\n| summarize count() by <group by column>, bin(TimeGenerated, $__interval) //change “group by column” to a column in your table, such as “Computer”. The $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
            "resultFormat": "time_series",
            "workspace": "00000000-0000-0000-0000-000000000000"
          },
          "azureMonitor": {
            "aggOptions": ["Average"],
            "aggregation": "Average",
            "alias": "Table Count",
            "allowedTimeGrainsMs": [3600000],
            "dimensionFilter": "*",
            "dimensionFilters": [],
            "dimensions": [],
            "metricDefinition": "$ns/tableServices",
            "metricName": "TableCount",
            "metricNamespace": "Microsoft.Storage/storageAccounts/tableServices",
            "resourceGroup": "$rg",
            "resourceName": "$resource/default",
            "timeGrain": "auto",
            "timeGrains": [
              {
                "text": "auto",
                "value": "auto"
              },
              {
                "text": "1 hour",
                "value": "PT1H"
              }
            ],
            "top": "10"
          },
          "hide": false,
          "insightsAnalytics": {
            "query": "",
            "resultFormat": "time_series"
          },
          "queryType": "Azure Monitor",
          "refId": "C",
          "subscription": "$sub"
        },
        {
          "appInsights": {
            "dimension": [],
            "metricName": "select",
            "timeGrain": "auto"
          },
          "azureLogAnalytics": {
            "query": "//change this example to create your own time series query\n<table name>                                                              //the table to query (e.g. Usage, Heartbeat, Perf)\n| where $__timeFilter(TimeGenerated)                                      //this is a macro used to show the full chart’s time range, choose the datetime column here\n| summarize count() by <group by column>, bin(TimeGenerated, $__interval) //change “group by column” to a column in your table, such as “Computer”. The $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
            "resultFormat": "time_series",
            "workspace": "00000000-0000-0000-0000-000000000000"
          },
          "azureMonitor": {
            "aggOptions": ["Average"],
            "aggregation": "Average",
            "alias": "File Count",
            "allowedTimeGrainsMs": [3600000],
            "dimensionFilter": "*",
            "dimensionFilters": [],
            "dimensions": [
              {
                "text": "File Share",
                "value": "FileShare"
              }
            ],
            "metricDefinition": "$ns/fileServices",
            "metricName": "FileCount",
            "metricNamespace": "Microsoft.Storage/storageAccounts/fileServices",
            "resourceGroup": "$rg",
            "resourceName": "$resource/default",
            "timeGrain": "auto",
            "timeGrains": [
              {
                "text": "auto",
                "value": "auto"
              },
              {
                "text": "1 hour",
                "value": "PT1H"
              }
            ],
            "top": "10"
          },
          "hide": false,
          "insightsAnalytics": {
            "query": "",
            "resultFormat": "time_series"
          },
          "queryType": "Azure Monitor",
          "refId": "D",
          "subscription": "$sub"
        },
        {
          "appInsights": {
            "dimension": [],
            "metricName": "select",
            "timeGrain": "auto"
          },
          "azureLogAnalytics": {
            "query": "//change this example to create your own time series query\n<table name>                                                              //the table to query (e.g. Usage, Heartbeat, Perf)\n| where $__timeFilter(TimeGenerated)                                      //this is a macro used to show the full chart’s time range, choose the datetime column here\n| summarize count() by <group by column>, bin(TimeGenerated, $__interval) //change “group by column” to a column in your table, such as “Computer”. The $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
            "resultFormat": "time_series",
            "workspace": "00000000-0000-0000-0000-000000000000"
          },
          "azureMonitor": {
            "aggOptions": ["Average"],
            "aggregation": "Average",
            "alias": "Queue Count",
            "allowedTimeGrainsMs": [3600000],
            "dimensionFilter": "*",
            "dimensionFilters": [],
            "dimensions": [],
            "metricDefinition": "$ns/queueServices",
            "metricName": "QueueCount",
            "metricNamespace": "Microsoft.Storage/storageAccounts/queueServices",
            "resourceGroup": "$rg",
            "resourceName": "$resource/default",
            "timeGrain": "auto",
            "timeGrains": [
              {
                "text": "auto",
                "value": "auto"
              },
              {
                "text": "1 hour",
                "value": "PT1H"
              }
            ],
            "top": "10"
          },
          "hide": false,
          "insightsAnalytics": {
            "query": "",
            "resultFormat": "time_series"
          },
          "queryType": "Azure Monitor",
          "refId": "E",
          "subscription": "$sub"
        }
      ],
      "timeFrom": null,
      "timeShift": null,
      "title": "Storage count",
      "type": "timeseries"
    }
  ],
  "refresh": false,
  "schemaVersion": 27,
  "style": "dark",
  "tags": [],
  "templating": {
    "list": [
      {
        "current": {},
        "description": null,
        "error": null,
        "hide": 0,
        "includeAll": false,
        "label": "Data Source",
        "multi": false,
        "name": "ds",
        "options": [],
        "query": "grafana-azure-monitor-datasource",
        "queryValue": "",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "type": "datasource"
      },
      {
        "allValue": null,
        "current": {},
        "datasource": "$ds",
        "definition": "subscriptions()",
        "description": null,
        "error": null,
        "hide": 0,
        "includeAll": false,
        "label": "Subscription",
        "multi": false,
        "name": "sub",
        "options": [],
        "query": "subscriptions()",
        "refresh": 2,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "description": null,
        "error": null,
        "hide": 2,
        "label": "Namespace",
        "name": "ns",
        "query": "Microsoft.Storage/storageAccounts",
        "skipUrlSync": false,
        "type": "constant"
      },
      {
        "allValue": null,
        "current": {},
        "datasource": "$ds",
        "definition": "ResourceGroups($sub)",
        "description": null,
        "error": null,
        "hide": 0,
        "includeAll": false,
        "label": "Resource Group",
        "multi": false,
        "name": "rg",
        "options": [],
        "query": "ResourceGroups($sub)",
        "refresh": 2,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      },
      {
        "allValue": null,
        "current": {},
        "datasource": "$ds",
        "definition": "ResourceNames($sub, $rg, $ns)",
        "description": null,
        "error": null,
        "hide": 0,
        "includeAll": false,
        "label": "Resource",
        "multi": false,
        "name": "resource",
        "options": [],
        "query": "ResourceNames($sub, $rg, $ns)",
        "refresh": 2,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      }
    ]
  },
  "time": {
    "from": "now-6h",
    "to": "now"
  },
  "timepicker": {},
  "timezone": "",
  "title": "Azure / Insights / Storage Accounts",
  "uid": "3n2E8CrGk",
  "version": 29
}