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6430 lines
204 KiB
6430 lines
204 KiB
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"hide": false,
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"metricName": "select",
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"azureLogAnalytics": {
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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 $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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"resultFormat": "time_series",
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"workspace": "00000000-0000-0000-0000-000000000000"
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"value": "auto"
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{
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"text": "1 hour",
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"value": "PT1H"
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"top": "10"
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"hide": false,
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"datasource": "$ds",
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"defaults": {
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"unit": "percent"
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"h": 9,
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"id": 12,
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"options": {
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"metricName": "select",
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"azureLogAnalytics": {
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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 $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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"resultFormat": "time_series",
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"workspace": "00000000-0000-0000-0000-000000000000"
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},
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"aggOptions": ["Average", "Minimum", "Maximum"],
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"aggregation": "Average",
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"alias": "Table availability",
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{
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"text": "Geo type",
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{
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"text": "API name",
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"value": "ApiName"
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{
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"text": "Authentication",
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"value": "Authentication"
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}
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],
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"metricDefinition": "$ns/tableServices",
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"metricName": "Availability",
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{
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"text": "auto",
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"value": "auto"
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},
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{
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"text": "1 minute",
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"value": "PT1M"
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{
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"text": "5 minutes",
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{
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"text": "6 hours",
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"value": "PT6H"
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{
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"text": "12 hours",
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"value": "PT12H"
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{
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"text": "1 day",
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"metricName": "select",
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"azureLogAnalytics": {
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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 $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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"resultFormat": "time_series",
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"workspace": "00000000-0000-0000-0000-000000000000"
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},
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"azureMonitor": {
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"aggOptions": ["Average", "Minimum", "Maximum"],
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"aggregation": "Average",
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"alias": "Blob availability",
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"text": "Authentication",
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"metricDefinition": "$ns/blobServices",
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{
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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",
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"text": "File Share",
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|
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|
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|
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|
|
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|
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|
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"overrides": [
|
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{
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|
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|
|
"id": "byName",
|
|
"options": "Success Server Latency"
|
|
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|
|
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|
|
{
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|
"id": "color",
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|
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"azureLogAnalytics": {
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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",
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"resultFormat": "time_series",
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{
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"text": "API name",
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{
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},
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{
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|
"text": "1 minute",
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|
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|
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{
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{
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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 $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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"resultFormat": "time_series",
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"workspace": "00000000-0000-0000-0000-000000000000"
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{
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"type": "timeseries"
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"datasource": "$ds",
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"fieldConfig": {
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"defaults": {
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"unit": "ms"
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"matcher": {
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"id": "byName",
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"options": "Mean"
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{
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"id": "custom.displayMode",
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"value": "lcd-gauge"
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{
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"id": "color",
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"value": {
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"mode": "continuous-GrYlRd"
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{
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"matcher": {
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{
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"id": "custom.displayMode",
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"value": "gradient-gauge"
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{
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"value": {
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"fixedColor": "red",
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"matcher": {
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{
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|
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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 $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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{
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},
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"datasource": "$ds",
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"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"
|
|
}
|
|
],
|
|
"top": "10"
|
|
},
|
|
"insightsAnalytics": {
|
|
"query": "",
|
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"resultFormat": "time_series"
|
|
},
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|
"queryType": "Azure Monitor",
|
|
"refId": "A",
|
|
"subscription": "$sub"
|
|
},
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{
|
|
"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 $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
|
|
"resultFormat": "time_series",
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|
"workspace": "00000000-0000-0000-0000-000000000000"
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},
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"azureMonitor": {
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"aggregation": "Average",
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"dimensionFilter": "*",
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{
|
|
"dimension": "ApiName",
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|
"filter": "",
|
|
"operator": "eq"
|
|
}
|
|
],
|
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"dimensions": [
|
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{
|
|
"text": "Geo type",
|
|
"value": "GeoType"
|
|
},
|
|
{
|
|
"text": "API name",
|
|
"value": "ApiName"
|
|
},
|
|
{
|
|
"text": "Authentication",
|
|
"value": "Authentication"
|
|
}
|
|
],
|
|
"metricDefinition": "$ns/tableServices",
|
|
"metricName": "Availability",
|
|
"metricNamespace": "Microsoft.Storage/storageAccounts/tableServices",
|
|
"resourceGroup": "$rg",
|
|
"resourceName": "$resource/default",
|
|
"timeGrain": "auto",
|
|
"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"
|
|
}
|
|
],
|
|
"top": "10"
|
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},
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|
"hide": false,
|
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"insightsAnalytics": {
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"query": "",
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"resultFormat": "time_series"
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},
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"queryType": "Azure Monitor",
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"refId": "B",
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"subscription": "$sub"
|
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},
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{
|
|
"appInsights": {
|
|
"dimension": [],
|
|
"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 $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
|
|
"resultFormat": "time_series",
|
|
"workspace": "00000000-0000-0000-0000-000000000000"
|
|
},
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"azureMonitor": {
|
|
"aggOptions": ["Average", "Minimum", "Maximum"],
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"aggregation": "Average",
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|
"alias": "",
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|
"allowedTimeGrainsMs": [60000, 300000, 900000, 1800000, 3600000, 21600000, 43200000, 86400000],
|
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"dimensionFilter": "*",
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"dimensionFilters": [
|
|
{
|
|
"dimension": "ApiName",
|
|
"filter": "",
|
|
"operator": "eq"
|
|
}
|
|
],
|
|
"dimensions": [
|
|
{
|
|
"text": "Geo type",
|
|
"value": "GeoType"
|
|
},
|
|
{
|
|
"text": "API name",
|
|
"value": "ApiName"
|
|
},
|
|
{
|
|
"text": "Authentication",
|
|
"value": "Authentication"
|
|
},
|
|
{
|
|
"text": "File Share",
|
|
"value": "FileShare"
|
|
}
|
|
],
|
|
"metricDefinition": "$ns/fileServices",
|
|
"metricName": "Availability",
|
|
"metricNamespace": "Microsoft.Storage/storageAccounts/fileServices",
|
|
"resourceGroup": "$rg",
|
|
"resourceName": "$resource/default",
|
|
"timeGrain": "auto",
|
|
"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"
|
|
}
|
|
],
|
|
"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 $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
|
|
"resultFormat": "time_series",
|
|
"workspace": "00000000-0000-0000-0000-000000000000"
|
|
},
|
|
"azureMonitor": {
|
|
"aggOptions": ["Average", "Minimum", "Maximum"],
|
|
"aggregation": "Average",
|
|
"alias": "",
|
|
"allowedTimeGrainsMs": [60000, 300000, 900000, 1800000, 3600000, 21600000, 43200000, 86400000],
|
|
"dimensionFilter": "*",
|
|
"dimensionFilters": [
|
|
{
|
|
"dimension": "ApiName",
|
|
"filter": "",
|
|
"operator": "eq"
|
|
}
|
|
],
|
|
"dimensions": [
|
|
{
|
|
"text": "Geo type",
|
|
"value": "GeoType"
|
|
},
|
|
{
|
|
"text": "API name",
|
|
"value": "ApiName"
|
|
},
|
|
{
|
|
"text": "Authentication",
|
|
"value": "Authentication"
|
|
}
|
|
],
|
|
"metricDefinition": "$ns/queueServices",
|
|
"metricName": "Availability",
|
|
"metricNamespace": "Microsoft.Storage/storageAccounts/queueServices",
|
|
"resourceGroup": "$rg",
|
|
"resourceName": "$resource/default",
|
|
"timeGrain": "auto",
|
|
"timeGrains": [
|
|
{
|
|
"text": "auto",
|
|
"value": "auto"
|
|
},
|
|
{
|
|
"text": "1 minute",
|
|
"value": "PT1M"
|
|
},
|
|
{
|
|
"text": "5 minutes",
|
|
"value": "PT5M"
|
|
},
|
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{
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|
"text": "15 minutes",
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|
"value": "PT15M"
|
|
},
|
|
{
|
|
"text": "30 minutes",
|
|
"value": "PT30M"
|
|
},
|
|
{
|
|
"text": "1 hour",
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|
"value": "PT1H"
|
|
},
|
|
{
|
|
"text": "6 hours",
|
|
"value": "PT6H"
|
|
},
|
|
{
|
|
"text": "12 hours",
|
|
"value": "PT12H"
|
|
},
|
|
{
|
|
"text": "1 day",
|
|
"value": "P1D"
|
|
}
|
|
],
|
|
"top": "10"
|
|
},
|
|
"hide": false,
|
|
"insightsAnalytics": {
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|
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|
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},
|
|
"queryType": "Azure Monitor",
|
|
"refId": "D",
|
|
"subscription": "$sub"
|
|
}
|
|
],
|
|
"timeFrom": null,
|
|
"timeShift": null,
|
|
"title": "Availability by API name",
|
|
"transformations": [
|
|
{
|
|
"id": "reduce",
|
|
"options": {
|
|
"includeTimeField": false,
|
|
"mode": "seriesToRows",
|
|
"reducers": ["mean"]
|
|
}
|
|
}
|
|
],
|
|
"type": "table"
|
|
},
|
|
{
|
|
"aliasColors": {},
|
|
"bars": false,
|
|
"dashLength": 10,
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"dashes": false,
|
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"datasource": "$ds",
|
|
"fieldConfig": {
|
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"defaults": {
|
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"color": {},
|
|
"custom": {},
|
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"thresholds": {
|
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"mode": "absolute",
|
|
"steps": []
|
|
},
|
|
"unit": "percent"
|
|
},
|
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"overrides": []
|
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},
|
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"fill": 1,
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"fillGradient": 0,
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"gridPos": {
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"h": 8,
|
|
"w": 12,
|
|
"x": 12,
|
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"y": 73
|
|
},
|
|
"hiddenSeries": false,
|
|
"id": 38,
|
|
"legend": {
|
|
"avg": false,
|
|
"current": false,
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|
"max": false,
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|
"min": false,
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"show": true,
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"total": true,
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"values": true
|
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},
|
|
"lines": true,
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"linewidth": 1,
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"nullPointMode": "null",
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|
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},
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"pluginVersion": "7.4.3",
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{
|
|
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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 $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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|
"resultFormat": "time_series",
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"workspace": "00000000-0000-0000-0000-000000000000"
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{
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{
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"text": "API name",
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|
"value": "ApiName"
|
|
},
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|
{
|
|
"text": "Authentication",
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|
"value": "Authentication"
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|
}
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|
],
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"metricDefinition": "$ns/blobServices",
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|
"metricName": "Availability",
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|
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|
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{
|
|
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|
|
"value": "auto"
|
|
},
|
|
{
|
|
"text": "1 minute",
|
|
"value": "PT1M"
|
|
},
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|
{
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|
"text": "5 minutes",
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|
"value": "PT5M"
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},
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{
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|
|
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{
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|
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},
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{
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},
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{
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"text": "6 hours",
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|
"value": "PT6H"
|
|
},
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{
|
|
"text": "12 hours",
|
|
"value": "PT12H"
|
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},
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{
|
|
"text": "1 day",
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"value": "P1D"
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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 $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
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|
"resultFormat": "time_series",
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{
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},
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{
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"text": "API name",
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"value": "ApiName"
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},
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{
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"text": "Authentication",
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"value": "Authentication"
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}
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],
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"metricDefinition": "$ns/tableServices",
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"metricName": "Availability",
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{
|
|
"text": "auto",
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|
"value": "auto"
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},
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{
|
|
"text": "1 minute",
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|
"value": "PT1M"
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|
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{
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|
"text": "5 minutes",
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|
"value": "PT5M"
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|
},
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{
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|
"text": "15 minutes",
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|
"value": "PT15M"
|
|
},
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{
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|
"text": "30 minutes",
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|
"value": "PT30M"
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|
},
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{
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|
"text": "1 hour",
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"value": "PT1H"
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|
},
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|
{
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|
"text": "6 hours",
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|
"value": "PT6H"
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|
},
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|
{
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|
"text": "12 hours",
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|
"value": "PT12H"
|
|
},
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|
{
|
|
"text": "1 day",
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|
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|
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],
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{
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"appInsights": {
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"metricName": "select",
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