Grafana dashboard: Azure Data Factory Factories
Description: https://github.com/yesoreyeram/grafana-azure-dashboards

# Data factory factories

![image](https://user-images.githubusercontent.com/153843/61211121-92688600-a6f6-11e9-967c-76f7a85f8a83.png)


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          "text": "Current",
          "value": "current"
        }
      ],
      "datasource": "$Subscription",
      "fontSize": "100%",
      "gridPos": {
        "h": 4,
        "w": 8,
        "x": 8,
        "y": 3
      },
      "id": 11,
      "links": [],
      "pageSize": null,
      "scroll": true,
      "showHeader": true,
      "sort": {
        "col": 2,
        "desc": true
      },
      "styles": [
        {
          "alias": "",
          "colorMode": "row",
          "colors": [
            "rgba(50, 172, 45, 0.97)",
            "rgba(237, 129, 40, 0.89)",
            "rgba(245, 54, 54, 0.9)"
          ],
          "decimals": 0,
          "pattern": "/.*/",
          "thresholds": [
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            "1"
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          "type": "number",
          "unit": "none"
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      ],
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        {
          "appInsights": {
            "groupBy": "none",
            "metricName": "select",
            "rawQuery": false,
            "rawQueryString": "",
            "spliton": "",
            "timeGrainType": "auto",
            "xaxis": "timestamp",
            "yaxis": ""
          },
          "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 $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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            "aggOptions": [
              "None",
              "Average",
              "Minimum",
              "Maximum",
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            "aggregation": "Total",
            "alias": "Type : {{dimensionvalue}}",
            "dimension": "ActivityType",
            "dimensionFilter": "*",
            "dimensions": [
              {
                "text": "None",
                "value": "None"
              },
              {
                "text": "Activity Type",
                "value": "ActivityType"
              },
              {
                "text": "Pipeline",
                "value": "PipelineName"
              },
              {
                "text": "Failure Type",
                "value": "FailureType"
              },
              {
                "text": "Activity",
                "value": "Name"
              }
            ],
            "metricDefinition": "Microsoft.DataFactory/factories",
            "metricName": "ActivityFailedRuns",
            "resourceGroup": "$ResourceGroup",
            "resourceName": "$ResourceName",
            "timeGrain": "PT1H",
            "timeGrains": [
              {
                "text": "auto",
                "value": "auto"
              },
              {
                "text": "1 minute",
                "value": "PT1M"
              },
              {
                "text": "5 minutes",
                "value": "PT5M"
              },
              {
                "text": "15 minutes",
                "value": "PT15M"
              },
              {
                "text": "30 minutes",
                "value": "PT30M"
              },
              {
                "text": "1 hour",
                "value": "PT1H"
              },
              {
                "text": "6 hours",
                "value": "PT6H"
              },
              {
                "text": "12 hours",
                "value": "PT12H"
              },
              {
                "text": "1 day",
                "value": "P1D"
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          },
          "queryType": "Azure Monitor",
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            "xaxis": "timestamp",
            "yaxis": ""
          },
          "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 $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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              "Average",
              "Minimum",
              "Maximum",
              "Total",
              "Count"
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            "aggregation": "Total",
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            "dimension": "Name",
            "dimensionFilter": "*",
            "dimensions": [
              {
                "text": "None",
                "value": "None"
              },
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                "text": "Activity Type",
                "value": "ActivityType"
              },
              {
                "text": "Pipeline",
                "value": "PipelineName"
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              {
                "text": "Failure Type",
                "value": "FailureType"
              },
              {
                "text": "Activity",
                "value": "Name"
              }
            ],
            "metricDefinition": "Microsoft.DataFactory/factories",
            "metricName": "ActivityFailedRuns",
            "resourceGroup": "$ResourceGroup",
            "resourceName": "$ResourceName",
            "timeGrain": "PT1H",
            "timeGrains": [
              {
                "text": "auto",
                "value": "auto"
              },
              {
                "text": "1 minute",
                "value": "PT1M"
              },
              {
                "text": "5 minutes",
                "value": "PT5M"
              },
              {
                "text": "15 minutes",
                "value": "PT15M"
              },
              {
                "text": "30 minutes",
                "value": "PT30M"
              },
              {
                "text": "1 hour",
                "value": "PT1H"
              },
              {
                "text": "6 hours",
                "value": "PT6H"
              },
              {
                "text": "12 hours",
                "value": "PT12H"
              },
              {
                "text": "1 day",
                "value": "P1D"
              }
            ]
          },
          "queryType": "Azure Monitor",
          "refId": "B"
        }
      ],
      "timeFrom": null,
      "timeShift": null,
      "title": "Activity Failures / Hour",
      "transform": "timeseries_aggregations",
      "type": "table"
    },
    {
      "columns": [
        {
          "text": "Avg",
          "value": "avg"
        },
        {
          "text": "Current",
          "value": "current"
        }
      ],
      "datasource": "$Subscription",
      "fontSize": "100%",
      "gridPos": {
        "h": 4,
        "w": 8,
        "x": 16,
        "y": 3
      },
      "id": 12,
      "links": [],
      "pageSize": null,
      "scroll": true,
      "showHeader": true,
      "sort": {
        "col": 0,
        "desc": true
      },
      "styles": [
        {
          "alias": "",
          "colorMode": "row",
          "colors": [
            "rgba(50, 172, 45, 0.97)",
            "rgba(237, 129, 40, 0.89)",
            "rgba(245, 54, 54, 0.9)"
          ],
          "decimals": 0,
          "pattern": "/.*/",
          "thresholds": [
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            "1"
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          "type": "number",
          "unit": "none"
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      "targets": [
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          "appInsights": {
            "groupBy": "none",
            "metricName": "select",
            "rawQuery": false,
            "rawQueryString": "",
            "spliton": "",
            "timeGrainType": "auto",
            "xaxis": "timestamp",
            "yaxis": ""
          },
          "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 $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
            "resultFormat": "time_series"
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          "azureMonitor": {
            "aggOptions": [
              "None",
              "Average",
              "Minimum",
              "Maximum",
              "Total",
              "Count"
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            "aggregation": "Total",
            "alias": "Type : {{dimensionvalue}}",
            "dimension": "FailureType",
            "dimensionFilter": "*",
            "dimensions": [
              {
                "text": "None",
                "value": "None"
              },
              {
                "text": "Trigger",
                "value": "Name"
              },
              {
                "text": "Failure Type",
                "value": "FailureType"
              }
            ],
            "metricDefinition": "Microsoft.DataFactory/factories",
            "metricName": "TriggerFailedRuns",
            "resourceGroup": "$ResourceGroup",
            "resourceName": "$ResourceName",
            "timeGrain": "PT1H",
            "timeGrains": [
              {
                "text": "auto",
                "value": "auto"
              },
              {
                "text": "1 minute",
                "value": "PT1M"
              },
              {
                "text": "5 minutes",
                "value": "PT5M"
              },
              {
                "text": "15 minutes",
                "value": "PT15M"
              },
              {
                "text": "30 minutes",
                "value": "PT30M"
              },
              {
                "text": "1 hour",
                "value": "PT1H"
              },
              {
                "text": "6 hours",
                "value": "PT6H"
              },
              {
                "text": "12 hours",
                "value": "PT12H"
              },
              {
                "text": "1 day",
                "value": "P1D"
              }
            ]
          },
          "queryType": "Azure Monitor",
          "refId": "A"
        },
        {
          "appInsights": {
            "groupBy": "none",
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            "xaxis": "timestamp",
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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 $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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          "azureMonitor": {
            "aggOptions": [
              "None",
              "Average",
              "Minimum",
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            "aggregation": "Total",
            "alias": "Trigger : {{dimensionvalue}}",
            "dimension": "Name",
            "dimensionFilter": "*",
            "dimensions": [
              {
                "text": "None",
                "value": "None"
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                "text": "Failure Type",
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            "metricDefinition": "Microsoft.DataFactory/factories",
            "metricName": "TriggerFailedRuns",
            "resourceGroup": "$ResourceGroup",
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            "timeGrain": "PT1H",
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              {
                "text": "auto",
                "value": "auto"
              },
              {
                "text": "1 minute",
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              {
                "text": "5 minutes",
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              },
              {
                "text": "15 minutes",
                "value": "PT15M"
              },
              {
                "text": "30 minutes",
                "value": "PT30M"
              },
              {
                "text": "1 hour",
                "value": "PT1H"
              },
              {
                "text": "6 hours",
                "value": "PT6H"
              },
              {
                "text": "12 hours",
                "value": "PT12H"
              },
              {
                "text": "1 day",
                "value": "P1D"
              }
            ]
          },
          "queryType": "Azure Monitor",
          "refId": "B"
        }
      ],
      "timeFrom": null,
      "timeShift": null,
      "title": "Trigger Failures / Hour",
      "transform": "timeseries_aggregations",
      "type": "table"
    },
    {
      "columns": [
        {
          "text": "Avg",
          "value": "avg"
        },
        {
          "text": "Current",
          "value": "current"
        }
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      "datasource": "$Subscription",
      "fontSize": "100%",
      "gridPos": {
        "h": 5,
        "w": 8,
        "x": 0,
        "y": 7
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      "id": 13,
      "links": [],
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      "scroll": true,
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      "sort": {
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        "desc": true
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          "colorMode": "row",
          "colors": [
            "rgba(245, 54, 54, 0.9)",
            "rgba(237, 129, 40, 0.89)",
            "rgba(50, 172, 45, 0.97)"
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          "pattern": "/.*/",
          "thresholds": [
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            "rawQueryString": "",
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            "timeGrainType": "auto",
            "xaxis": "timestamp",
            "yaxis": ""
          },
          "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 $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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              "Average",
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              "Maximum",
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            "alias": "{{dimensionvalue}}",
            "dimension": "Name",
            "dimensionFilter": "*",
            "dimensions": [
              {
                "text": "None",
                "value": "None"
              },
              {
                "text": "Failure Type",
                "value": "FailureType"
              },
              {
                "text": "Pipeline",
                "value": "Name"
              }
            ],
            "metricDefinition": "Microsoft.DataFactory/factories",
            "metricName": "PipelineSucceededRuns",
            "resourceGroup": "$ResourceGroup",
            "resourceName": "$ResourceName",
            "timeGrain": "PT1H",
            "timeGrains": [
              {
                "text": "auto",
                "value": "auto"
              },
              {
                "text": "1 minute",
                "value": "PT1M"
              },
              {
                "text": "5 minutes",
                "value": "PT5M"
              },
              {
                "text": "15 minutes",
                "value": "PT15M"
              },
              {
                "text": "30 minutes",
                "value": "PT30M"
              },
              {
                "text": "1 hour",
                "value": "PT1H"
              },
              {
                "text": "6 hours",
                "value": "PT6H"
              },
              {
                "text": "12 hours",
                "value": "PT12H"
              },
              {
                "text": "1 day",
                "value": "P1D"
              }
            ]
          },
          "queryType": "Azure Monitor",
          "refId": "A"
        }
      ],
      "timeFrom": null,
      "timeShift": null,
      "title": "Pipleline Succeeded  / Hour",
      "transform": "timeseries_aggregations",
      "type": "table"
    },
    {
      "columns": [
        {
          "text": "Avg",
          "value": "avg"
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        {
          "text": "Current",
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        "h": 5,
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        "x": 8,
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            "rgba(237, 129, 40, 0.89)",
            "rgba(50, 172, 45, 0.97)"
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          "decimals": 0,
          "pattern": "/.*/",
          "thresholds": [
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          "appInsights": {
            "groupBy": "none",
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            "rawQueryString": "",
            "spliton": "",
            "timeGrainType": "auto",
            "xaxis": "timestamp",
            "yaxis": ""
          },
          "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 $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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              "None",
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            "dimension": "Name",
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                "text": "Activity Type",
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            "metricName": "ActivitySucceededRuns",
            "resourceGroup": "$ResourceGroup",
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            "timeGrains": [
              {
                "text": "auto",
                "value": "auto"
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              {
                "text": "1 minute",
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                "text": "5 minutes",
                "value": "PT5M"
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              {
                "text": "15 minutes",
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                "text": "30 minutes",
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                "text": "1 hour",
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              {
                "text": "6 hours",
                "value": "PT6H"
              },
              {
                "text": "12 hours",
                "value": "PT12H"
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              {
                "text": "1 day",
                "value": "P1D"
              }
            ]
          },
          "queryType": "Azure Monitor",
          "refId": "A"
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      ],
      "timeFrom": null,
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          "text": "Avg",
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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": "15 minutes",
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                "text": "30 minutes",
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                "text": "6 hours",
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                "text": "12 hours",
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              {
                "text": "1 day",
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