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B3LB cluster monitoring.json
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B3LB cluster monitoring.json
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"query": "from(bucket: \"bucket\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"bigbluebutton_meetings\" or r[\"_measurement\"] == \"bigbluebutton_recordings\")\n |> filter(fn: (r) => r[\"_field\"] == \"active_meetings\" or r[\"_field\"] == \"participant_count\" or r[\"_field\"] == \"video_count\" or r[\"_field\"] == \"voice_participant_count\" or r[\"_field\"] == \"recordings_count\" )\n |> group(columns: [\"_field\"])\n |> aggregateWindow(every: 10s, fn: sum, createEmpty: false)\n |> yield(name: \"sum\")",
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"query": "from(bucket: \"bucket\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"bigbluebutton_meetings\")\n |> filter(fn: (r) => r[\"_field\"] == \"active_meetings\" or r[\"_field\"] == \"participant_count\")\n |> group(columns: [\"_field\"])\n |> aggregateWindow(every: 10s, fn: sum, createEmpty: false)\n |> yield(name: \"sum\")",
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"title": "Participants over meetings",
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"query": "from(bucket: \"bucket\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"bigbluebutton_api\")\n |> filter(fn: (r) => r[\"_field\"] == \"online\")\n |> group(columns: [\"b3lb_host\"])\n |> aggregateWindow(every: 10s, fn: sum, createEmpty: true)\n |> fill(value: 0, column: \"_value\")\n |> yield(name: \"_value\")\n\n",
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"title": "Cluster metrics over participants",
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{
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]
}
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"matcher": {
"id": "byName",
"options": "bigbluebutton_meetings"
},
"properties": [
{
"id": "displayName",
"value": "Partipants"
}
]
},
{
"matcher": {
"id": "byName",
"options": "cpu"
},
"properties": [
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"id": "displayName",
"value": "CPU average"
}
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"options": {
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"displayMode": "table",
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}
},
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${source}"
},
"query": "from(bucket: \"bucket\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"bigbluebutton_meetings\")\n |> filter(fn: (r) => r[\"_field\"] == \"participant_count\")\n |> group(columns: [\"_measurement\"])\n |> aggregateWindow(every: 10s, fn: sum, createEmpty: false)\n |> yield(name: \"sum\")\n\nfrom(bucket: \"bucket\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"cpu\")\n |> filter(fn: (r) => r[\"_field\"] == \"usage_system\")\n |> group(columns: [\"_measurement\"])\n |> aggregateWindow(every: 10s, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")\n\n",
"refId": "A"
}
],
"title": "CPU (average) over participants",
"type": "timeseries"
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{
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"uid": "${source}"
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},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "mem"
},
"properties": [
{
"id": "displayName",
"value": "Memory average"
}
]
},
{
"matcher": {
"id": "byName",
"options": "bigbluebutton_meetings"
},
"properties": [
{
"id": "displayName",
"value": "Participants"
}
]
}
]
},
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"x": 0,
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},
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"options": {
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}
},
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${source}"
},
"query": "from(bucket: \"bucket\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"bigbluebutton_meetings\")\n |> filter(fn: (r) => r[\"_field\"] == \"participant_count\")\n |> group(columns: [\"_measurement\"])\n |> aggregateWindow(every: 10s, fn: sum, createEmpty: false)\n |> yield(name: \"sum\")\n\nfrom(bucket: \"bucket\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"mem\")\n |> filter(fn: (r) => r[\"_field\"] == \"used_percent\")\n |> group(columns: [\"_measurement\"])\n |> aggregateWindow(every: 10s, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")\n\n",
"refId": "A"
}
],
"title": "Memory (average %) over participants",
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${source}"
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"options": "bigbluebutton_meetings"
},
"properties": [
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"value": "Participants"
}
]
},
{
"matcher": {
"id": "byName",
"options": "bytes_recv"
},
"properties": [
{
"id": "displayName",
"value": "Bandwidth (received)"
}
]
},
{
"matcher": {
"id": "byName",
"options": "bytes_sent"
},
"properties": [
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"id": "displayName",
"value": "Bandwidth (sent)"
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"options": {
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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\"] == \"bigbluebutton_meetings\")\n |> filter(fn: (r) => r[\"_field\"] == \"participant_count\")\n |> group(columns: [\"_measurement\"])\n |> aggregateWindow(every: 10s, fn: sum, createEmpty: false)\n |> yield(name: \"sum\")\n\nfrom(bucket: \"bucket\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"net\")\n |> filter(fn: (r) => r[\"_field\"] == \"bytes_sent\" or r[\"_field\"] == \"bytes_recv\")\n |> group(columns: [\"_field\"])\n |> aggregateWindow(every: 10s, fn: mean, createEmpty: false)\n |> yield(name: \"mean\")\n\n",
"refId": "A"
}
],
"title": "Bandwidth (average) over participants",
"type": "timeseries"
}
],
"refresh": "10s",
"schemaVersion": 35,
"style": "dark",
"tags": [],
"templating": {
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"text": "InfluxDB",
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},
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