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RPi-2W-Stratum-1-NTP-Server/dashboard.json
2026-06-18 14:14:09 +00:00

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{
"annotations": {
"list": [
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"builtIn": 1,
"datasource": {
"type": "grafana",
"uid": "-- Grafana --"
},
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"type": "dashboard"
}
]
},
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 0,
"id": 0,
"links": [],
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"collapsed": false,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 0
},
"id": 7,
"panels": [],
"title": "Time Data",
"type": "row"
},
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"type": "influxdb",
"uid": "${source}"
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"color": {
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"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "system",
"orderByTime": "ASC",
"policy": "default",
"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"system\")\n |> filter(fn: (r) => r[\"_field\"] == \"uptime\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")",
"refId": "A",
"resultFormat": "time_series",
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{
"params": [
"uptime"
],
"type": "field"
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"type": "last"
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"tags": [
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"key": "host::tag",
"operator": "=~",
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}
],
"title": "System Uptime",
"type": "stat"
},
{
"datasource": {
"type": "datasource",
"uid": "-- Mixed --"
},
"description": "The stratum indicates how many hops away from a computer with an attached reference clock we are. Such a computer is a stratum-1 computer, so the computer in the example is two hops away (i.e. foo.example.net is a stratum-2 and is synchronised from a stratum-1)",
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"type": "__expr__",
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"expression": "0+1",
"refId": "A",
"type": "math"
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],
"title": "Stratum",
"type": "stat"
},
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"datasource": {
"type": "influxdb",
"uid": "dff8g4ffvqsxse"
},
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},
"unit": "celsius"
},
"overrides": []
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"gridPos": {
"h": 4,
"w": 2,
"x": 7,
"y": 1
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"id": 23,
"options": {
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"targets": [
{
"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"sensors\")\n |> filter(fn: (r) => r[\"_field\"] == \"temp_input\")\n |> filter(fn: (r) => r[\"chip\"] == \"cpu_thermal-virtual-0\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")",
"refId": "A"
}
],
"title": "CPU temperature",
"type": "stat"
},
{
"datasource": {
"type": "influxdb",
"uid": "${source}"
},
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"color": {
"mode": "thresholds"
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"gridPos": {
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"w": 3,
"x": 9,
"y": 1
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"id": 4,
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"justifyMode": "auto",
"orientation": "auto",
"percentChangeColorMode": "standard",
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"fields": "/^total NTPRANA$/",
"values": false
},
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"textMode": "value",
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"targets": [
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"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUX-V2_(CHRONY)}"
},
"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"processes\")\n |> filter(fn: (r) => r[\"_field\"] == \"total\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")",
"rawQuery": true,
"refId": "A",
"resultFormat": "time_series"
}
],
"title": "Processes",
"type": "stat"
},
{
"datasource": {
"type": "influxdb",
"uid": "${source}"
},
"description": "Root delay - This is the total of the network path delays to the stratum-1 computer from which the computer is ultimately synchronised. In certain extreme situations, this value can be negative. (This can arise in a symmetric peer arrangement where the computers frequencies are not tracking each other and the network delay is very short relative to the turn-around time at each computer.) \n\nRoot dispersion - This is the total dispersion accumulated through all the computers back to the stratum-1 computer from which the computer is ultimately synchronised. Dispersion is due to system clock resolution, statistical measurement variations etc. An absolute bound on the computers clock accuracy. (The estimate of the total amount of error/variance between that server and the correct time.)\n\nSystem time - In normal operation, chronyd never steps the system clock, because any jump in the timescale can have adverse consequences for certain application programs. Instead, any error in the system clock is corrected by slightly speeding up or slowing down the system clock until the error has been removed, and then returning to the system clocks normal speed. A consequence of this is that there will be a period when the system clock (as read by other programs using the gettimeofday() system call, or by the date command in the shell) will be different from chronyd's estimate of the current true time (which it reports to NTP clients when it is operating in server mode). The value reported on this line is the difference due to this effect.",
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"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"barWidthFactor": 0.6,
"drawStyle": "line",
"fillOpacity": 5,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "stepAfter",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
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},
"showPoints": "auto",
"showValues": false,
"spanNulls": true,
"stacking": {
"group": "A",
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},
"thresholdsStyle": {
"mode": "off"
}
},
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"steps": [
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},
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}
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},
"unit": "s"
},
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"matcher": {
"id": "byName",
"options": "root_delay {host=\"NTPRANA\", leap_status=\"normal\", reference_id=\"50505300\", stratum=\"1\"}"
},
"properties": [
{
"id": "displayName",
"value": "Root delay"
}
]
},
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"id": "byName",
"options": "root_dispersion {host=\"NTPRANA\", leap_status=\"normal\", reference_id=\"50505300\", stratum=\"1\"}"
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"id": "displayName",
"value": "Root dispersion"
}
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"options": "system_time {host=\"NTPRANA\", leap_status=\"normal\", reference_id=\"50505300\", stratum=\"1\"}"
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"properties": [
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"id": "displayName",
"value": "System time"
}
]
}
]
},
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"w": 12,
"x": 12,
"y": 1
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"id": 2,
"options": {
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"displayMode": "list",
"placement": "bottom",
"showLegend": true
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"mode": "multi",
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"targets": [
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"datasource": {
"type": "influxdb",
"uid": "${source}"
},
"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"chrony\")\n |> filter(fn: (r) => r[\"_field\"] == \"root_delay\" or r[\"_field\"] == \"root_dispersion\" or r[\"_field\"] == \"system_time\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")",
"refId": "A"
}
],
"title": "Sources",
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${source}"
},
"description": "Last offset - This is the estimated local offset on the last clock update.\n\nRMS offset - This is a long-term average of the offset value.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
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"axisCenteredZero": false,
"axisColorMode": "text",
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"unit": "s"
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"options": "last_offset {host=\"NTPRANA\", leap_status=\"normal\", reference_id=\"50505300\", stratum=\"1\"}"
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"id": "displayName",
"value": "Last offset"
}
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"options": "rms_offset {host=\"NTPRANA\", leap_status=\"normal\", reference_id=\"50505300\", stratum=\"1\"}"
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"value": "RMS offset"
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},
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"x": 0,
"y": 5
},
"id": 1,
"options": {
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],
"displayMode": "list",
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"showLegend": true
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"targets": [
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"alias": "Last Offset",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUX-V2_(CHRONY)}"
},
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "chrony",
"orderByTime": "ASC",
"policy": "default",
"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"chrony\")\n |> filter(fn: (r) => r[\"_field\"] == \"last_offset\" or r[\"_field\"] == \"rms_offset\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"last_offset"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "host::tag",
"operator": "=~",
"value": "/^$host$/"
}
]
}
],
"title": "Offset",
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "dff8g4ffvqsxse"
},
"description": "Frequency - The frequency is the rate by which the systems clock would be wrong if chronyd was not correcting it. It is expressed in ppm (parts per million). For example, a value of 1ppm would mean that when the systems clock thinks it has advanced 1 second, it has actually advanced by 1.000001 seconds relative to true time.\n\nResidual freq - This shows the residual frequency for the currently selected reference source. This reflects any difference between what the measurements from the reference source indicate the frequency should be and the frequency currently being used. The reason this is not always zero is that a smoothing procedure is applied to the frequency. Each time a measurement from the reference source is obtained and a new residual frequency computed, the estimated accuracy of this residual is compared with the estimated accuracy (see skew next) of the existing frequency value. A weighted average is computed for the new frequency, with weights depending on these accuracies. If the measurements from the reference source follow a consistent trend, the residual will be driven to zero over time.\n\nSkew - This is the estimated error bound on the frequency.\n\nhttps://chrony.tuxfamily.org/doc/3.3/chronyc.html#_system_clock",
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"color": {
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"axisCenteredZero": false,
"axisColorMode": "text",
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"barWidthFactor": 0.6,
"drawStyle": "line",
"fillOpacity": 6,
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},
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],
"measurement": "chrony",
"orderByTime": "ASC",
"policy": "default",
"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"chrony\")\n |> filter(fn: (r) => r[\"_field\"] == \"frequency\" or r[\"_field\"] == \"residual_freq\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")",
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"params": [
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"operator": "=~",
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],
"title": "Frequency",
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"collapsed": false,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 17
},
"id": 17,
"panels": [],
"title": "GPS Data",
"type": "row"
},
{
"datasource": {
"type": "influxdb",
"uid": "dff8g4ffvqsxse"
},
"fieldConfig": {
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},
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"w": 2,
"x": 0,
"y": 18
},
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"values": false
},
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"targets": [
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"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"gps_sky\")\n |> filter(fn: (r) => r[\"_field\"] == \"uSat\")\n |> aggregateWindow(every: v.windowPeriod, fn: last, createEmpty: false)\n |> yield(name: \"last\")",
"refId": "A"
}
],
"title": "Satellites in use",
"type": "stat"
},
{
"datasource": {
"type": "influxdb",
"uid": "dff8g4ffvqsxse"
},
"fieldConfig": {
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},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "beidou_used {device=\"/dev/ttyS0\", host=\"ntprana\"}"
},
"properties": [
{
"id": "displayName",
"value": "Beidou"
}
]
},
{
"matcher": {
"id": "byName",
"options": "galileo_used {device=\"/dev/ttyS0\", host=\"ntprana\"}"
},
"properties": [
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"id": "displayName",
"value": "Galileo"
}
]
},
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"id": "byName",
"options": "glonass_used {device=\"/dev/ttyS0\", host=\"ntprana\"}"
},
"properties": [
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"id": "displayName",
"value": "GLONASS"
}
]
},
{
"matcher": {
"id": "byName",
"options": "gps_used {device=\"/dev/ttyS0\", host=\"ntprana\"}"
},
"properties": [
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"id": "displayName",
"value": "GPS"
}
]
},
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"value": "QZSS"
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"options": "sbas_used {device=\"/dev/ttyS0\", host=\"ntprana\"}"
},
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"options": "unknown_used {device=\"/dev/ttyS0\", host=\"ntprana\"}"
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"mode": "single",
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"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"gps_sky\")\n |> filter(fn: (r) => r[\"_field\"] == \"beidou_used\" or r[\"_field\"] == \"glonass_used\" or r[\"_field\"] == \"galileo_used\" or r[\"_field\"] == \"gps_used\" or r[\"_field\"] == \"qzss_used\" or r[\"_field\"] == \"sbas_used\" or r[\"_field\"] == \"unknown_used\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")",
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}
],
"title": "Satelites per System used",
"type": "timeseries"
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"options": "gdop {device=\"/dev/ttyS0\", host=\"ntprana\"}"
},
"properties": [
{
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]
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{
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"options": "hdop {device=\"/dev/ttyS0\", host=\"ntprana\"}"
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},
{
"matcher": {
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"options": "tdop {device=\"/dev/ttyS0\", host=\"ntprana\"}"
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"properties": [
{
"id": "displayName",
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},
{
"matcher": {
"id": "byName",
"options": "vdop {device=\"/dev/ttyS0\", host=\"ntprana\"}"
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"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"gps_sky\")\n |> filter(fn: (r) => r[\"_field\"] == \"tdop\" or r[\"_field\"] == \"vdop\" or r[\"_field\"] == \"hdop\" or r[\"_field\"] == \"gdop\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")",
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"matcher": {
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"options": "avg_signal_used {device=\"/dev/ttyS0\", host=\"ntprana\"}"
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"properties": [
{
"id": "displayName",
"value": "Average signal of used satelites"
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},
{
"matcher": {
"id": "byName",
"options": "avg_signal_visible {device=\"/dev/ttyS0\", host=\"ntprana\"}"
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"properties": [
{
"id": "displayName",
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"id": "byName",
"options": "max_signal {device=\"/dev/ttyS0\", host=\"ntprana\"}"
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{
"id": "displayName",
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"x": 16,
"y": 18
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"id": 22,
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"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"gps_sky\")\n |> filter(fn: (r) => r[\"_field\"] == \"avg_signal_used\" or r[\"_field\"] == \"avg_signal_visible\" or r[\"_field\"] == \"max_signal\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")",
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}
],
"title": "Signal Strenght",
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "dff8g4ffvqsxse"
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"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"gps_sky\")\n |> filter(fn: (r) => r[\"_field\"] == \"nSat\")\n |> aggregateWindow(every: v.windowPeriod, fn: last, createEmpty: false)\n |> yield(name: \"last\")",
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"title": "Available satellites",
"type": "stat"
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{
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{
"matcher": {
"id": "byName",
"options": "beidou_used {device=\"/dev/ttyS0\", host=\"ntprana\"}"
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"properties": [
{
"id": "displayName",
"value": "Beidou"
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},
{
"matcher": {
"id": "byName",
"options": "galileo_visible {device=\"/dev/ttyS0\", host=\"ntprana\"}"
},
"properties": [
{
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{
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"id": "byName",
"options": "glonass_visible {device=\"/dev/ttyS0\", host=\"ntprana\"}"
},
"properties": [
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"value": "GLONASS"
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{
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"id": "byName",
"options": "gps_visible {device=\"/dev/ttyS0\", host=\"ntprana\"}"
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{
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"options": "qzss_visible {device=\"/dev/ttyS0\", host=\"ntprana\"}"
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"properties": [
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{
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"id": "byName",
"options": "sbas_visible {device=\"/dev/ttyS0\", host=\"ntprana\"}"
},
"properties": [
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"id": "displayName",
"value": "SBAS"
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]
},
{
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"id": "byName",
"options": "unknown_visible {device=\"/dev/ttyS0\", host=\"ntprana\"}"
},
"properties": [
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},
{
"matcher": {
"id": "byName",
"options": "beidou_visible {device=\"/dev/ttyS0\", host=\"ntprana\"}"
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"properties": [
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"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"gps_sky\")\n |> filter(fn: (r) => r[\"_field\"] == \"beidou_visible\" or r[\"_field\"] == \"galileo_visible\" or r[\"_field\"] == \"glonass_visible\" or r[\"_field\"] == \"gps_visible\" or r[\"_field\"] == \"qzss_visible\" or r[\"_field\"] == \"sbas_visible\" or r[\"_field\"] == \"unknown_visible\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")",
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],
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"datasource": {
"type": "influxdb",
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"matcher": {
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"properties": [
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},
{
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"id": "byName",
"options": "uSat {device=\"/dev/ttyS0\", host=\"ntprana\"}"
},
"properties": [
{
"id": "displayName",
"value": "Currently used satellites"
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]
}
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"h": 7,
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"query": "from(bucket: \"NTPRANA\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"gps_sky\")\n |> filter(fn: (r) => r[\"_field\"] == \"nSat\" or r[\"_field\"] == \"uSat\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")",
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{
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"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"mem\")\n |> filter(fn: (r) => r[\"_field\"] == \"used_percent\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")",
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"title": "Memory",
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{
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"type": "influxdb",
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{
"color": "#EAB839",
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{
"color": "red",
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{
"matcher": {
"id": "byRegexp",
"options": "^.*fstype=\"ext4\".*$"
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"properties": [
{
"id": "displayName",
"value": "EXT4 File System"
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{
"matcher": {
"id": "byRegexp",
"options": "^.*fstype=\"overlay\".*$"
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"properties": [
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"id": "displayName",
"value": "Overlay File System"
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"datasource": {
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"uid": "${DS_INFLUX-V2_(CHRONY)}"
},
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{
"params": [
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],
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},
{
"params": [
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"type": "fill"
}
],
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"measurement": "disk",
"orderByTime": "ASC",
"policy": "default",
"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"disk\")\n |> filter(fn: (r) => r[\"_field\"] == \"used_percent\")\n |> filter(fn: (r) => r[\"fstype\"] == \"ext4\" or r[\"fstype\"] == \"overlay\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")",
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{
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"value": "/^$host$/"
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{
"condition": "AND",
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"title": "Root partition",
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},
{
"datasource": {
"type": "influxdb",
"uid": "${source}"
},
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"mode": "palette-classic"
},
"custom": {
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"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"barWidthFactor": 0.6,
"drawStyle": "line",
"fillOpacity": 5,
"gradientMode": "none",
"hideFrom": {
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"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"showValues": false,
"spanNulls": true,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"decimals": 2,
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
},
{
"color": "red",
"value": 80
}
]
},
"unit": "percent"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "usage_system {cpu=\"cpu-total\", host=\"NTPRANA\"}"
},
"properties": [
{
"id": "displayName",
"value": "CPU total"
}
]
},
{
"matcher": {
"id": "byName",
"options": "usage_system {cpu=\"cpu0\", host=\"NTPRANA\"}"
},
"properties": [
{
"id": "displayName",
"value": "Core 1"
}
]
},
{
"matcher": {
"id": "byName",
"options": "usage_system {cpu=\"cpu1\", host=\"NTPRANA\"}"
},
"properties": [
{
"id": "displayName",
"value": "Core 2"
}
]
},
{
"matcher": {
"id": "byName",
"options": "usage_system {cpu=\"cpu2\", host=\"NTPRANA\"}"
},
"properties": [
{
"id": "displayName",
"value": "Core 3"
}
]
},
{
"matcher": {
"id": "byName",
"options": "usage_system {cpu=\"cpu3\", host=\"NTPRANA\"}"
},
"properties": [
{
"id": "displayName",
"value": "Core 4"
}
]
}
]
},
"gridPos": {
"h": 12,
"w": 12,
"x": 12,
"y": 33
},
"id": 12,
"options": {
"legend": {
"calcs": [
"lastNotNull"
],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"hideZeros": false,
"mode": "multi",
"sort": "none"
}
},
"pluginVersion": "12.3.1",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUX-V2_(CHRONY)}"
},
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"none"
],
"type": "fill"
}
],
"measurement": "cpu",
"orderByTime": "ASC",
"policy": "default",
"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"cpu\")\n |> filter(fn: (r) => r[\"_field\"] == \"usage_system\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")",
"rawQuery": false,
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"usage_guest"
],
"type": "field"
},
{
"params": [],
"type": "mean"
},
{
"params": [
"guest"
],
"type": "alias"
}
],
[
{
"params": [
"usage_guest_nice"
],
"type": "field"
},
{
"params": [],
"type": "mean"
},
{
"params": [
"guest_nice"
],
"type": "alias"
}
],
[
{
"params": [
"usage_iowait"
],
"type": "field"
},
{
"params": [],
"type": "mean"
},
{
"params": [
"iowait"
],
"type": "alias"
}
],
[
{
"params": [
"usage_irq"
],
"type": "field"
},
{
"params": [],
"type": "mean"
},
{
"params": [
"iowait"
],
"type": "alias"
}
],
[
{
"params": [
"usage_nice"
],
"type": "field"
},
{
"params": [],
"type": "mean"
},
{
"params": [
"iowait"
],
"type": "alias"
}
],
[
{
"params": [
"usage_softirq"
],
"type": "field"
},
{
"params": [],
"type": "mean"
},
{
"params": [
"softirq"
],
"type": "alias"
}
],
[
{
"params": [
"usage_steal"
],
"type": "field"
},
{
"params": [],
"type": "mean"
},
{
"params": [
"steal"
],
"type": "alias"
}
],
[
{
"params": [
"usage_system"
],
"type": "field"
},
{
"params": [],
"type": "mean"
},
{
"params": [
"system"
],
"type": "alias"
}
],
[
{
"params": [
"usage_user"
],
"type": "field"
},
{
"params": [],
"type": "mean"
},
{
"params": [
"user"
],
"type": "alias"
}
]
],
"tags": [
{
"key": "host::tag",
"operator": "=~",
"value": "/^$host$/"
},
{
"condition": "AND",
"key": "cpu::tag",
"operator": "=",
"value": "cpu-total"
}
]
}
],
"title": "CPU Usage - Detailed",
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${source}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"barWidthFactor": 0.6,
"drawStyle": "line",
"fillOpacity": 5,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "linear",
"lineStyle": {
"fill": "solid"
},
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"showValues": false,
"spanNulls": true,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
},
{
"color": "red",
"value": 80
}
]
},
"unit": "bytes"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": ""
},
"properties": []
}
]
},
"gridPos": {
"h": 7,
"w": 12,
"x": 0,
"y": 38
},
"id": 13,
"options": {
"legend": {
"calcs": [
"lastNotNull"
],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"hideZeros": false,
"mode": "multi",
"sort": "none"
}
},
"pluginVersion": "12.3.1",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUX-V2_(CHRONY)}"
},
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "mem",
"orderByTime": "ASC",
"policy": "default",
"query": "from(bucket: \"${bucket}\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"mem\")\n |> filter(fn: (r) => r[\"_field\"] == \"active\" or r[\"_field\"] == \"available\" or r[\"_field\"] == \"used\")\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"active"
],
"type": "field"
},
{
"params": [],
"type": "last"
},
{
"params": [
"active"
],
"type": "alias"
}
],
[
{
"params": [
"buffered"
],
"type": "field"
},
{
"params": [],
"type": "last"
},
{
"params": [
"buffered"
],
"type": "alias"
}
],
[
{
"params": [
"cached"
],
"type": "field"
},
{
"params": [],
"type": "last"
},
{
"params": [
"cached"
],
"type": "alias"
}
],
[
{
"params": [
"free"
],
"type": "field"
},
{
"params": [],
"type": "last"
},
{
"params": [
"free"
],
"type": "alias"
}
]
],
"tags": [
{
"key": "host::tag",
"operator": "=~",
"value": "/^$host$/"
}
]
}
],
"title": "Memory Usage - Detailed",
"type": "timeseries"
}
],
"preload": false,
"refresh": "10s",
"schemaVersion": 42,
"tags": [],
"templating": {
"list": [
{
"current": {
"text": "influxdb",
"value": "dff8g4ffvqsxse"
},
"includeAll": false,
"label": "Source",
"name": "source",
"options": [],
"query": "influxdb",
"refresh": 1,
"regex": "",
"type": "datasource"
},
{
"current": {
"text": "NTPRANA",
"value": "NTPRANA"
},
"datasource": {
"type": "influxdb",
"uid": "${source}"
},
"definition": "buckets()",
"includeAll": false,
"label": "Bucket",
"name": "bucket",
"options": [],
"query": {
"0": "S",
"1": "H",
"2": "O",
"3": "W",
"4": " ",
"5": "T",
"6": "A",
"7": "G",
"8": " ",
"9": "V",
"10": "A",
"11": "L",
"12": "U",
"13": "E",
"14": "S",
"15": " ",
"16": "F",
"17": "R",
"18": "O",
"19": "M",
"20": " ",
"21": "\"",
"22": "c",
"23": "h",
"24": "r",
"25": "o",
"26": "n",
"27": "y",
"28": "\"",
"29": " ",
"30": "W",
"31": "I",
"32": "T",
"33": "H",
"34": " ",
"35": "K",
"36": "E",
"37": "Y",
"38": " ",
"39": "=",
"40": " ",
"41": "\"",
"42": "h",
"43": "o",
"44": "s",
"45": "t",
"46": "\"",
"query": "buckets()"
},
"refresh": 1,
"regex": "",
"type": "query"
}
]
},
"time": {
"from": "now-30m",
"to": "now"
},
"timepicker": {},
"timezone": "browser",
"title": "NTPRANA",
"uid": "bdtx2dn916tj4f2",
"version": 4
}