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Copy pathintel_core_and_igpu_telemetry.json
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intel_core_and_igpu_telemetry.json
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[
{
"apiVersion": "influxdata.com/v2alpha1",
"kind": "Dashboard",
"metadata": {
"name": "elated-leavitt-fc0001"
},
"spec": {
"charts": [
{
"colors": [
{
"id": "0",
"name": "honeydew",
"type": "min",
"hex": "#7CE490"
},
{
"id": "1",
"name": "ruby",
"type": "max",
"hex": "#BF3D5E",
"value": 100
}
],
"decimalPlaces": 2,
"height": 4,
"kind": "Gauge",
"name": "Intel iGPU Telemetry",
"queries": [
{
"query": "from(bucket: \"telegraf-bucket\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"gpu_usage\")\n |> filter(fn: (r) => r[\"_field\"] == \"iGPU Compute Util\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"
}
],
"staticLegend": {},
"suffix": "%",
"width": 3
},
{
"colors": [
{
"id": "0",
"name": "honeydew",
"type": "min",
"hex": "#7CE490"
},
{
"id": "1",
"name": "ruby",
"type": "max",
"hex": "#BF3D5E",
"value": 100
}
],
"decimalPlaces": 2,
"height": 4,
"kind": "Gauge",
"name": "Intel dGPU Arc",
"queries": [
{
"query": "from(bucket: \"telegraf-bucket\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"gpu_usage\")\n |> filter(fn: (r) => r[\"_field\"] == \"dGPU Arc Compute Util\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"
}
],
"staticLegend": {},
"suffix": "%",
"width": 3,
"xPos": 3
},
{
"height": 4,
"kind": "Markdown",
"name": "Name this Cell",
"note": "",
"staticLegend": {},
"width": 6,
"xPos": 3,
"yPos": 4
},
{
"colors": [
{
"id": "0",
"name": "laser",
"type": "min",
"hex": "#00C9FF"
},
{
"id": "1",
"name": "planet",
"type": "max",
"hex": "#513CC6",
"value": 100
}
],
"decimalPlaces": 2,
"height": 4,
"kind": "Gauge",
"name": "Intel CPU Telemetry",
"queries": [
{
"query": "from(bucket: \"telegraf-bucket\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"cpu\")\n |> filter(fn: (r) => r[\"_field\"] == \"usage_user\")\n |> filter(fn: (r) => r[\"cpu\"] == \"cpu-total\")\n |> aggregateWindow(every: 5s, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"
}
],
"staticLegend": {},
"suffix": "%",
"width": 3,
"xPos": 6
},
{
"colors": [
{
"id": "0",
"name": "laser",
"type": "min",
"hex": "#00C9FF"
},
{
"id": "1",
"name": "planet",
"type": "max",
"hex": "#513CC6",
"value": 100
}
],
"decimalPlaces": 2,
"height": 4,
"kind": "Gauge",
"name": "System Memory % Usage",
"queries": [
{
"query": "from(bucket: \"telegraf-bucket\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"mem\")\n |> filter(fn: (r) => r[\"_field\"] == \"used_percent\")\n |> aggregateWindow(every: 5s, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")"
}
],
"staticLegend": {},
"suffix": "%",
"width": 3,
"xPos": 9
}
],
"name": "System telemetry (dGPU,iGPU,CPU,MEM)"
}
}
]