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{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "Page lookups/sec | Buffer Manager",
"policy": "default",
"query": "SELECT mean(\"value\") FROM \"Page lookups/sec | Buffer Manager\" WHERE \"servername\" =~ /$Instance$/ AND \"type\" = 'Performance counters' AND $timeFilter GROUP BY time($interval) fill(null)",
"refId": "D",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "servername",
"operator": "=~",
"value": "/$Instance$/"
},
{
"condition": "AND",
"key": "type",
"operator": "=",
"value": "Performance counters"
}
]
},
{
"alias": "Page reads/sec",
"dsType": "influxdb",
"groupBy": [
{
"params": [
"$interval"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "Page reads/sec | Buffer Manager",
"policy": "default",
"query": "SELECT mean(\"value\") FROM \"Page reads/sec | Buffer Manager\" WHERE \"servername\" =~ /$Instance$/ AND \"type\" = 'Performance counters' AND $timeFilter GROUP BY time($interval) fill(null)",
"refId": "E",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "servername",
"operator": "=~",
"value": "/$Instance$/"
},
{
"condition": "AND",
"key": "type",
"operator": "=",
"value": "Performance counters"
}
]
},
{
"alias": "Page writes/sec",
"dsType": "influxdb",
"groupBy": [
{
"params": [
"$interval"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "Page writes/sec | Buffer Manager",
"policy": "default",
"query": "SELECT mean(\"value\") FROM \"Page writes/sec | Buffer Manager\" WHERE \"servername\" =~ /$Instance$/ AND \"type\" = 'Performance counters' AND $timeFilter GROUP BY time($interval) fill(null)",
"refId": "F",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "servername",
"operator": "=~",
"value": "/$Instance$/"
},
{
"condition": "AND",
"key": "type",
"operator": "=",
"value": "Performance counters"
}
]
},
{
"alias": "Readahead pages/sec",
"dsType": "influxdb",
"groupBy": [
{
"params": [
"$interval"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "Readahead pages/sec | Buffer Manager",
"policy": "default",
"query": "SELECT mean(\"value\") FROM \"Readahead pages/sec | Buffer Manager\" WHERE \"servername\" =~ /$Instance$/ AND \"type\" = 'Performance counters' AND $timeFilter GROUP BY time($interval) fill(null)",
"refId": "G",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "servername",
"operator": "=~",
"value": "/$Instance$/"
},
{
"condition": "AND",
"key": "type",
"operator": "=",
"value": "Performance counters"
}
]
},
{
"alias": "Lazy writes/sec",
"dsType": "influxdb",
"groupBy": [
{
"params": [
"$interval"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "Lazy writes/sec | Buffer Manager",
"policy": "default",
"query": "SELECT mean(\"value\") FROM \"Lazy writes/sec | Buffer Manager\" WHERE \"servername\" =~ /$Instance$/ AND \"type\" = 'Performance counters' AND $timeFilter GROUP BY time($interval) fill(null)",
"refId": "H",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "servername",
"operator": "=~",
"value": "/$Instance$/"
},
{
"condition": "AND",
"key": "type",
"operator": "=",
"value": "Performance counters"
}
]
},
{
"alias": "Checkpoint pages/sec",
"dsType": "influxdb",
"groupBy": [
{
"params": [
"$interval"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "Checkpoint pages/sec | Buffer Manager",
"policy": "default",
"query": "SELECT mean(\"value\") FROM \"Checkpoint pages/sec | Buffer Manager\" WHERE \"servername\" =~ /$Instance$/ AND \"type\" = 'Performance counters' AND $timeFilter GROUP BY time($interval) fill(null)",
"refId": "I",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "servername",
"operator": "=~",
"value": "/$Instance$/"
},
{
"condition": "AND",
"key": "type",
"operator": "=",
"value": "Performance counters"
}
]
}
],
"timeFrom": null,
"timeShift": null,
"title": "Buffer Cache - Disk",
"tooltip": {
"msResolution": true,
"shared": true,
"sort": 2,
"value_type": "cumulative"
},
"type": "graph",
"xaxis": {
"show": true
},
"yaxes": [
{
"format": "short",
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"format": "short",
"logBase": 1,
"max": null,
"min": null,
"show": true
}
],
"thresholds": [],
"alert": {
"warn": {
"op": ">"
},
"crit": {
"op": ">"
}
},
"alerting": {}
},
{
"aliasColors": {},
"bars": false,
"datasource": "${DS_TELEGRAF-SQL_SERVER}",
"editable": true,
"error": false,
"fill": 5,
"grid": {},
"id": 75,
"isNew": true,
"legend": {
"alignAsTable": true,
"avg": true,
"current": false,
"max": true,
"min": false,
"rightSide": true,
"show": true,
"sort": "max",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "connected",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "png",
"seriesOverrides": [],
"span": 6,
"stack": true,
"steppedLine": false,
"targets": [
{
"alias": "SQL Cache",
"dsType": "influxdb",
"groupBy": [],
"measurement": "SQL Cache Memory (KB) | Memory Manager",
"policy": "default",
"query": "SELECT \"value\" FROM \"SQL Cache Memory (KB) | Memory Manager\" WHERE \"servername\" =~ /$Instance$/ AND \"type\" = 'Performance counters' AND $timeFilter",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
}
]
],
"tags": [
{
"key": "servername",
"operator": "=~",
"value": "/$Instance$/"
},
{
"condition": "AND",
"key": "type",
"operator": "=",
"value": "Performance counters"
}
]
},
{
"alias": "Optimizer",
"dsType": "influxdb",
"groupBy": [],
"measurement": "Optimizer Memory (KB) | Memory Manager",
"policy": "default",
"query": "SELECT \"value\" FROM \"Optimizer Memory (KB) | Memory Manager\" WHERE \"servername\" =~ /$Instance$/ AND \"type\" = 'Performance counters' AND $timeFilter",
"refId": "B",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
}
]
],
"tags": [
{
"key": "servername",
"operator": "=~",
"value": "/$Instance$/"
},
{
"condition": "AND",
"key": "type",
"operator": "=",
"value": "Performance counters"
}
]
},
{
"alias": "Log Pool",
"dsType": "influxdb",
"groupBy": [],
"measurement": "Log Pool Memory (KB) | Memory Manager",
"policy": "default",
"query": "SELECT \"value\" FROM \"Log Pool Memory (KB) | Memory Manager\" WHERE \"servername\" =~ /$Instance$/ AND \"type\" = 'Performance counters' AND $timeFilter",
"refId": "C",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
}
]
],
"tags": [
{
"key": "servername",
"operator": "=~",
"value": "/$Instance$/"
},
{
"condition": "AND",
"key": "type",
"operator": "=",
"value": "Performance counters"
}
]
},
{
"alias": "Lock",
"dsType": "influxdb",
"groupBy": [],
"measurement": "Lock Memory (KB) | Memory Manager",
"policy": "default",
"query": "SELECT \"value\" FROM \"Lock Memory (KB) | Memory Manager\" WHERE \"servername\" =~ /$Instance$/ AND \"type\" = 'Performance counters' AND $timeFilter",
"refId": "D",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
}
]
],
"tags": [
{
"key": "servername",
"operator": "=~",
"value": "/$Instance$/"
},
{
"condition": "AND",
"key": "type",
"operator": "=",
"value": "Performance counters"
}
]
},
{
"alias": "Database Cache",
"dsType": "influxdb",
"groupBy": [],
"measurement": "Database Cache Memory (KB) | Memory Manager",
"policy": "default",
"query": "SELECT \"value\" FROM \"Database Cache Memory (KB) | Memory Manager\" WHERE \"servername\" =~ /$Instance$/ AND \"type\" = 'Performance counters' AND $timeFilter",
"refId": "E",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
}
]
],
"tags": [
{
"key": "servername",
"operator": "=~",
"value": "/$Instance$/"
},
{
"condition": "AND",
"key": "type",
"operator": "=",
"value": "Performance counters"
}
]
},
{
"alias": "Connection",
"dsType": "influxdb",
"groupBy": [],
"measurement": "Connection Memory (KB) | Memory Manager",
"policy": "default",
"query": "SELECT \"value\" FROM \"Connection Memory (KB) | Memory Manager\" WHERE \"servername\" =~ /$Instance$/ AND \"type\" = 'Performance counters' AND $timeFilter",
"refId": "F",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
}
]
],
"tags": [
{
"key": "servername",
"operator": "=~",
"value": "/$Instance$/"
},
{
"condition": "AND",
"key": "type",
"operator": "=",
"value": "Performance counters"
}
]
}
],
"timeFrom": null,
"timeShift": null,
"title": "Memory Manager",
"tooltip": {
"msResolution": false,
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"show": true
},
"yaxes": [
{
"format": "kbytes",
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"format": "short",
"logBase": 1,
"max": null,
"min": null,
"show": true
}
],
"thresholds": [],
"alert": {
"warn": {
"op": ">"
},
"crit": {
"op": ">"
}
},
"alerting": {}
},
{
"aliasColors": {},
"bars": false,
"datasource": "${DS_TELEGRAF-SQL_SERVER}",
"editable": true,
"error": false,
"fill": 5,
"grid": {},
"id": 89,
"isNew": true,
"legend": {
"alignAsTable": true,
"avg": true,
"current": false,
"max": true,
"min": false,
"rightSide": true,
"show": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "connected",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "png",
"seriesOverrides": [],
"span": 12,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "Log Flushes/sec",
"dsType": "influxdb",
"groupBy": [
{
"params": [
"$interval"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "Log Flushes/sec | _Total | Databases",
"policy": "default",
"query": "SELECT mean(\"value\") FROM \"Full Scans/sec | Access Methods\" WHERE \"servername\" =~ /$Instance$/ AND \"type\" = 'Performance counters' AND $timeFilter GROUP BY time($interval) fill(null)",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "servername",
"operator": "=~",
"value": "/$Instance$/"
},
{
"condition": "AND",
"key": "type",
"operator": "=",
"value": "Performance counters"
}
]
},
{
"alias": "Log Pool Cache Misses/sec",
"dsType": "influxdb",
"groupBy": [
{
"params": [
"$interval"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "Log Pool Cache Misses/sec | _Total | Databases",
"policy": "default",
"query": "SELECT mean(\"value\") FROM \"Full Scans/sec | Access Methods\" WHERE \"servername\" =~ /$Instance$/ AND \"type\" = 'Performance counters' AND $timeFilter GROUP BY time($interval) fill(null)",
"refId": "B",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "servername",
"operator": "=~",
"value": "/$Instance$/"
},
{
"condition": "AND",
"key": "type",
"operator": "=",
"value": "Performance counters"
}
]
},
{
"alias": "Log Pool Disk Reads/sec",
"dsType": "influxdb",
"groupBy": [
{
"params": [
"$interval"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "Log Pool Disk Reads/sec | _Total | Databases",
"policy": "default",
"query": "SELECT mean(\"value\") FROM \"Full Scans/sec | Access Methods\" WHERE \"servername\" =~ /$Instance$/ AND \"type\" = 'Performance counters' AND $timeFilter GROUP BY time($interval) fill(null)",
"refId": "C",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "servername",
"operator": "=~",
"value": "/$Instance$/"
},
{
"condition": "AND",
"key": "type",
"operator": "=",
"value": "Performance counters"
}
]
},
{
"alias": "Log Pool Requests/sec",
"dsType": "influxdb",
"groupBy": [
{
"params": [
"$interval"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "Log Pool Requests/sec | _Total | Databases",
"policy": "default",
"query": "SELECT mean(\"value\") FROM \"Full Scans/sec | Access Methods\" WHERE \"servername\" =~ /$Instance$/ AND \"type\" = 'Performance counters' AND $timeFilter GROUP BY time($interval) fill(null)",
"refId": "D",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "servername",
"operator": "=~",
"value": "/$Instance$/"
},
{
"condition": "AND",
"key": "type",
"operator": "=",
"value": "Performance counters"
}
]
}
],
"timeFrom": null,
"timeShift": null,
"title": "Log activities",
"tooltip": {
"msResolution": true,
"shared": true,
"sort": 2,
"value_type": "cumulative"
},
"type": "graph",
"xaxis": {
"show": true
},
"yaxes": [
{
"format": "short",
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"format": "short",
"logBase": 1,
"max": null,
"min": null,
"show": true
}
],
"thresholds": [],
"alert": {
"warn": {
"op": ">"
},
"crit": {
"op": ">"
}
},
"alerting": {}
}
],
"showTitle": true,
"title": "Performance counters"
},
{
"collapse": false,
"editable": true,
"height": "250px",
"panels": [
{
"aliasColors": {
"WaitTime.TOTAL": "#BF1B00"
},
"bars": false,
"datasource": "${DS_TELEGRAF-SQL_SERVER}",
"editable": true,
"error": false,
"fill": 5,
"grid": {},
"id": 13,
"isNew": true,
"legend": {
"alignAsTable": true,
"avg": true,
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"hideEmpty": true,
"hideZero": true,
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"sort": "total",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
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"links": [],
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"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "png",
"seriesOverrides": [
{
"alias": "WaitTime.TOTAL",
"fill": 0,
"lines": true,
"linewidth": 2
}
],
"span": 6,
"stack": true,
"steppedLine": false,
"targets": [
{
"alias": "$col",
"dsType": "influxdb",
"groupBy": [],
"measurement": "Wait time (ms)",
"policy": "default",
"query": "SELECT \"Buffer\", \"CLR\", \"I/O\", \"Latch\", \"Lock\", \"Memory\", \"Network\", \"Service broker\", \"Other\", \"SQLOS\", \"XEvent\" FROM \"Wait time (ms)\" WHERE \"type\" = 'Wait stats' AND \"servername\" =~ /$Instance$/ AND $timeFilter",
"rawQuery": false,
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"Buffer"
],
"type": "field"
}
],
[
{
"params": [
"CLR"
],
"type": "field"
}
],
[
{
"params": [
"I/O"
],
"type": "field"
}
],
[
{
"params": [
"Latch"
],
"type": "field"
}
],
[
{
"params": [
"Lock"
],
"type": "field"
}
],
[
{
"params": [
"Memory"
],
"type": "field"
}
],
[
{
"params": [
"Network"
],
"type": "field"
}
],
[
{
"params": [
"Service broker"
],
"type": "field"
}
],
[
{
"params": [
"Other"
],
"type": "field"
}
],
[
{
"params": [
"SQLOS"
],
"type": "field"
}
],
[
{
"params": [
"XEvent"
],
"type": "field"
}
]
],
"tags": [
{
"key": "type",
"operator": "=",
"value": "Wait stats"
},
{
"condition": "AND",
"key": "servername",
"operator": "=~",
"value": "/$Instance$/"
}
]
}
],
"timeFrom": null,
"timeShift": null,
"title": "Wait Time",
"tooltip": {
"msResolution": false,
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"show": true
},
"yaxes": [
{
"format": "ms",
"label": "",
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"format": "ms",
"label": "Total",
"logBase": 1,
"max": null,
"min": null,
"show": true
}
],
"thresholds": [],
"alert": {
"warn": {
"op": ">"
},
"crit": {
"op": ">"
}
},
"alerting": {}
},
{
"aliasColors": {
"WaitTime.TOTAL": "#BF1B00"
},
"bars": false,
"datasource": "${DS_TELEGRAF-SQL_SERVER}",
"editable": true,
"error": false,
"fill": 5,
"grid": {},
"id": 76,
"isNew": true,
"legend": {
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"avg": true,
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"min": false,
"rightSide": true,
"show": true,
"sort": "total",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
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"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "png",
"seriesOverrides": [
{
"alias": "WaitTime.TOTAL",
"fill": 0,
"lines": true,
"linewidth": 2
}
],
"span": 6,
"stack": true,
"steppedLine": false,
"targets": [
{
"alias": "$col",
"dsType": "influxdb",
"groupBy": [],
"measurement": "Wait tasks",
"policy": "default",
"query": "SELECT \"Buffer\", \"CLR\", \"I/O\", \"Latch\", \"Lock\", \"Memory\", \"Network\", \"Service broker\", \"Other\", \"SQLOS\", \"XEvent\" FROM \"Wait tasks\" WHERE \"type\" = 'Wait stats' AND \"servername\" =~ /$Instance$/ AND $timeFilter",
"rawQuery": false,
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"Buffer"
],
"type": "field"
}
],
[
{
"params": [
"CLR"
],
"type": "field"
}
],
[
{
"params": [
"I/O"
],
"type": "field"
}
],
[
{
"params": [
"Latch"
],
"type": "field"
}
],
[
{
"params": [
"Lock"
],
"type": "field"
}
],
[
{
"params": [
"Memory"
],
"type": "field"
}
],
[
{
"params": [
"Network"
],
"type": "field"
}
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} | 2022-11-09 16:11:58 UTC | null | 0 | 0 |
18,852 | 1 | 814,662 | 28,914 | 0 | vega | Grafana for All | Grafana Dashboard using metrics from Prometheus, Infinity, Tuya Exporter, Promdapter, Windows Exporter, Solis Inverter Exporter, Node Exporter, Open Meteo API. | 2023-05-31 00:37:45 UTC | 2023-05-31 00:56:43 UTC | 0 | Grafana Dashboard using metrics from Prometheus, Infinity, Tuya Exporter, Promdapter, Windows Exporter, Solis Inverter Exporter, Node Exporter, Open Meteo API.
What you will need:
Tuya Exporter: (Smart Plug) https://github.com/rkosegi/tuya-smartplug-exporter
PromDapter: (HWiNFO) https://github.com/kallex/PromDapter
Windows Exporter: (Windows Info) https://github.com/prometheus-community/windows_exporter
Solis Inverter JSON API: (Photovoltaic system with Solis inverter) https://github.com/fss/solis-inverter
Node Exporter: (Used on PiKVM - IP-KVM on Raspberry Pi) https://github.com/prometheus/node_exporter
Open Meteo JSON API: (Weather) https://github.com/open-meteo/open-meteo | 84,769 | 84,770 | Other | null | 0 | 0 | 28,914 | 1 | 18,852 | 1 | 0 | Main server | {
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} | 2023-05-31 00:37:45 UTC | 2023-05-31 00:56:40 UTC | 0 | 0 |
17,290 | 1 | 724,048 | 26,580 | 0 | kubernetes-compute-resources-workload | EKS Workloads | Kubernetes / Compute Resources / Workload | 2022-10-28 09:47:13 UTC | 2022-10-28 09:48:00 UTC | 0 | This dashboard is part of the [AWS Observability Accelerator](https://aws.amazon.com/blogs/mt/announcing-aws-observability-accelerator-to-configure-comprehensive-observability-for-amazon-eks/) and enables you to monitor EKS workloads based on Prometheus metrics.
For an automated end-to-end setup based on Terraform as well as to provide feedback or report an issue with the dashboard, please visit the [AWS Observability Accelerator GitHub repo](https://github.com/aws-observability/terraform-aws-observability-accelerator/issues). | 0 | 0 | Other | null | 0 | 0 | 26,580 | 1 | 17,290 | 1 | 0 | null | {
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"expr": "sum(\n container_memory_working_set_bytes{cluster=\"$cluster\", namespace=\"$namespace\", container!=\"\", image!=\"\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=\"$workload\", workload_type=\"$type\"}\n) by (pod)\n/sum(\n kube_pod_container_resource_requests{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"memory\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=\"$workload\", workload_type=\"$type\"}\n) by (pod)\n",
"format": "table",
"instant": true,
"intervalFactor": 2,
"legendFormat": "",
"refId": "C",
"step": 10
},
{
"datasource": "${DS_AWS-OBSERVABILITY-ACCELERATOR}",
"expr": "sum(\n kube_pod_container_resource_limits{job=\"kube-state-metrics\", cluster=\"$cluster\", namespace=\"$namespace\", resource=\"memory\"}\n * on(namespace,pod)\n group_left(workload, workload_type) namespace_workload_pod:kube_pod_owner:relabel{cluster=\"$cluster\", namespace=\"$namespace\", workload=\"$workload\", workload_type=\"$type\"}\n) by (pod)\n",
"format": "table",
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"intervalFactor": 2,
"legendFormat": "",
"refId": "D",
"step": 10
},
{
"datasource": "${DS_AWS-OBSERVABILITY-ACCELERATOR}",
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"format": "table",
"instant": true,
"intervalFactor": 2,
"legendFormat": "",
"refId": "E",
"step": 10
}
],
"thresholds": [],
"title": "Memory Quota",
"tooltip": {
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"sort": 2,
"value_type": "individual"
},
"transform": "table",
"type": "table-old",
"xaxis": {
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"y": 32
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"id": 18,
"panels": [],
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{
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],
"title": "Current Network Usage",
"type": "row"
},
{
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"bars": false,
"columns": [],
"dashLength": 10,
"dashes": false,
"datasource": "${DS_AWS-OBSERVABILITY-ACCELERATOR}",
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"fontSize": "100%",
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"x": 0,
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},
"lines": true,
"linewidth": 1,
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"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"showHeader": true,
"sort": {
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"desc": true
},
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"styles": [
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"alias": "Time",
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"dateFormat": "YYYY-MM-DD HH:mm:ss",
"pattern": "Time",
"type": "hidden"
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{
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"dateFormat": "YYYY-MM-DD HH:mm:ss",
"decimals": 2,
"link": false,
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"linkTooltip": "Drill down",
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"pattern": "Value #A",
"thresholds": [],
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{
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"linkTooltip": "Drill down",
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{
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"linkTooltip": "Drill down",
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"pattern": "Value #D",
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},
{
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},
{
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{
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"decimals": 2,
"pattern": "/.*/",
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"refId": "B",
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"intervalFactor": 2,
"legendFormat": "",
"refId": "C",
"step": 10
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{
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"intervalFactor": 2,
"legendFormat": "",
"refId": "D",
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{
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"refId": "E",
"step": 10
},
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"legendFormat": "",
"refId": "F",
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}
],
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"title": "Current Network Usage",
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18,265 | 1 | 779,713 | 28,038 | 0 | darkping-icmp | DarkPing ICMP | Dashboard for DarkPing ICMP module. | 2023-03-13 03:56:43 UTC | 2023-03-13 04:00:29 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 28,038 | 1 | 18,265 | 1 | 0 | Dashboard for DarkPing ICMP module. | {
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16,842 | 1 | 680,152 | 25,816 | 0 | rare-freerouter-link-state-igp-peers-reachability-neighbor-count-summary | RARE/freeRouter RARE/freeRouter - BFD states | Display link state IGP peer reachability and neighbor count metrics | 2022-09-03 11:25:40 UTC | 2022-09-03 11:44:53 UTC | 0 | null | 0 | 0 | nodeExporter | null | 0 | 0 | 25,816 | 1 | 16,842 | 1 | 0 | Display link state IGP peer reachability and neighbor count metrics | {
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16,956 | 1 | 688,409 | 26,002 | 0 | changex-dashboard-community | ChangeX DASHBOARD Community | Dashboard without Notifications (For Community) | 2022-09-13 10:22:36 UTC | 2022-09-13 10:23:03 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 26,002 | 1 | 16,956 | 1 | 0 | null | {
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17,291 | 1 | 724,048 | 26,581 | 0 | kubernetes-kubelet | EKS Kubeletes | Kubernetes / Kubelet | 2022-10-28 09:48:36 UTC | 2022-10-28 09:49:46 UTC | 0 | This dashboard is part of the [AWS Observability Accelerator](https://aws.amazon.com/blogs/mt/announcing-aws-observability-accelerator-to-configure-comprehensive-observability-for-amazon-eks/) and enables you to monitor EKS kubeletes based on Prometheus metrics.
For an automated end-to-end setup based on Terraform as well as to provide feedback or report an issue with the dashboard, please visit the [AWS Observability Accelerator GitHub repo](https://github.com/aws-observability/terraform-aws-observability-accelerator/issues). | 0 | 0 | Other | null | 0 | 0 | 26,581 | 1 | 17,291 | 1 | 0 | null | {
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} | 2022-10-28 09:48:36 UTC | 2022-10-28 09:49:46 UTC | 0 | 0 |
18,146 | 1 | 799,760 | 27,854 | 0 | kubecost-dashboard-for-grafana-cloud | Kubecost Dashboard for Grafana Cloud | Cluster cost overview for Kubecost running Grafana Cloud's Managed Prometheus in the backend. | 2023-02-20 12:39:46 UTC | 2023-02-20 12:39:57 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 27,854 | 1 | 18,146 | 1 | 0 | Cluster cost overview for Kubecost running Grafana Cloud's Managed Prometheus in the backend. | {
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"id": 2,
"links": [],
"maxDataPoints": 100,
"options": {
"colorMode": "none",
"graphMode": "none",
"justifyMode": "auto",
"orientation": "horizontal",
"reduceOptions": {
"calcs": [
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],
"fields": "",
"values": false
},
"textMode": "auto"
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"pluginVersion": "8.3.5",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"exemplar": false,
"expr": "sum(\n avg(kube_node_status_capacity{resource=\"cpu\", unit=\"core\"}) by (node) * avg(node_cpu_hourly_cost) by (node) * 730 * (1-$useDiscount/100) +\n avg(node_gpu_hourly_cost) by (node) * 730 * (1-$useDiscount/100)\n)",
"format": "time_series",
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": " {{ node }}",
"refId": "A"
}
],
"timeFrom": "15m",
"title": "Monthly CPU Cost",
"type": "stat"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"description": "Monthly run rate of memory costs based on currently provisioned expenses.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"decimals": 2,
"mappings": [
{
"options": {
"match": "null",
"result": {
"text": "N/A"
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},
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"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "currencyUSD"
},
"overrides": []
},
"gridPos": {
"h": 3,
"w": 6,
"x": 6,
"y": 2
},
"hideTimeOverride": true,
"id": 3,
"links": [],
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"options": {
"colorMode": "none",
"graphMode": "none",
"justifyMode": "auto",
"orientation": "horizontal",
"reduceOptions": {
"calcs": [
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],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "8.3.5",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"exemplar": false,
"expr": "sum(\n avg(kube_node_status_capacity{resource=\"memory\", unit=\"byte\"}) by (node) / 1024 / 1024 / 1024 * avg(node_ram_hourly_cost) by (node) * 730 * (1-$useDiscount/100)\n)",
"format": "time_series",
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": " {{ node }}",
"refId": "A"
}
],
"timeFrom": "15m",
"title": "Monthly Memory Cost",
"type": "stat"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"description": "Monthly run rate of attached storage and PV costs based on currently provisioned resources.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"decimals": 2,
"mappings": [
{
"options": {
"N/A": {
"index": 1,
"text": "1"
}
},
"type": "value"
},
{
"options": {
"match": "null",
"result": {
"index": 0,
"text": "N/A"
}
},
"type": "special"
}
],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "currencyUSD"
},
"overrides": []
},
"gridPos": {
"h": 3,
"w": 6,
"x": 12,
"y": 2
},
"hideTimeOverride": true,
"id": 4,
"interval": "15",
"links": [],
"maxDataPoints": 100,
"options": {
"colorMode": "none",
"graphMode": "none",
"justifyMode": "auto",
"orientation": "horizontal",
"reduceOptions": {
"calcs": [
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],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "8.3.5",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"exemplar": false,
"expr": "sum(avg(pv_hourly_cost) by (persistentvolume) * 730 * avg(kube_persistentvolume_capacity_bytes) by (persistentvolume) / 1024 / 1024 / 1024) \n+\n(sum(sum(container_fs_limit_bytes{device!=\"tmpfs\", id=\"/\"}) by (instance) / 1024 / 1024 / 1024) * $localStorageGBCost OR on() vector(0))",
"format": "time_series",
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": " {{ node }}",
"refId": "A"
}
],
"timeFrom": "15m",
"title": "Monthly Storage Cost",
"type": "stat"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"description": "Sum of compute, memory, storage and network costs.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"decimals": 2,
"mappings": [
{
"options": {
"match": "null",
"result": {
"text": "N/A"
}
},
"type": "special"
}
],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "currencyUSD"
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 6,
"x": 18,
"y": 2
},
"hideTimeOverride": true,
"id": 11,
"links": [],
"maxDataPoints": 100,
"options": {
"colorMode": "none",
"graphMode": "none",
"justifyMode": "auto",
"orientation": "horizontal",
"reduceOptions": {
"calcs": [
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],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "8.3.5",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"exemplar": false,
"expr": "# Compute\nsum(\n avg(kube_node_status_capacity{resource=\"cpu\", unit=\"core\"}) by (node) * avg(node_cpu_hourly_cost) by (node) * 730 * (1-$useDiscount/100) +\n avg(node_gpu_hourly_cost) by (node) * 730 * (1-$useDiscount/100)\n) +\n\n\n# Memory\nsum(\n avg(kube_node_status_capacity{resource=\"memory\", unit=\"byte\"}) by (node) / 1024 / 1024 / 1024 * avg(node_ram_hourly_cost) by (node) * 730 * (1-$useDiscount/100)\n) +\n\n# Storage \n\nsum(avg(pv_hourly_cost) by (persistentvolume) * 730 * avg(kube_persistentvolume_capacity_bytes) by (persistentvolume) / 1024 / 1024 / 1024) \n+\n(sum(sum(container_fs_limit_bytes{device!=\"tmpfs\", id=\"/\"}) by (instance) / 1024 / 1024 / 1024) * $localStorageGBCost OR on() vector(0))",
"format": "time_series",
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": " {{ node }}",
"refId": "A"
}
],
"timeFrom": "15m",
"title": "Total Monthly Cost",
"type": "stat"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"description": "Current CPU use from applications divided by allocatable CPUs",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"decimals": 2,
"mappings": [
{
"options": {
"match": "null",
"result": {
"text": "N/A"
}
},
"type": "special"
}
],
"max": 100,
"min": 0,
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "rgba(245, 54, 54, 0.9)",
"value": null
},
{
"color": "rgba(50, 172, 45, 0.97)",
"value": 30
},
{
"color": "#c15c17",
"value": 80
}
]
},
"unit": "percent"
},
"overrides": []
},
"gridPos": {
"h": 4,
"w": 3,
"x": 0,
"y": 5
},
"hideTimeOverride": true,
"id": 13,
"links": [],
"maxDataPoints": 100,
"options": {
"orientation": "horizontal",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"showThresholdLabels": false,
"showThresholdMarkers": true
},
"pluginVersion": "8.3.5",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"exemplar": true,
"expr": "(\n sum(\n count(irate(container_cpu_usage_seconds_total{id=\"/\"}[10m])) by (instance)\n * on (instance) \n sum(irate(container_cpu_usage_seconds_total{id=\"/\"}[10m])) by (instance)\n ) \n / \n (sum (kube_node_status_allocatable{resource=\"cpu\", unit=\"core\"}))\n) * 100",
"format": "time_series",
"interval": "",
"intervalFactor": 1,
"legendFormat": "",
"refId": "A",
"step": 10
}
],
"timeFrom": "",
"title": "CPU Utilization",
"type": "gauge"
},
{
"datasource": {
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"description": "Current CPU reservation requests from applications vs allocatable CPU",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"decimals": 2,
"mappings": [
{
"options": {
"match": "null",
"result": {
"text": "N/A"
}
},
"type": "special"
}
],
"max": 100,
"min": 0,
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "rgba(245, 54, 54, 0.9)",
"value": null
},
{
"color": "rgba(50, 172, 45, 0.97)",
"value": 30
},
{
"color": "#c15c17",
"value": 80
}
]
},
"unit": "percent"
},
"overrides": []
},
"gridPos": {
"h": 4,
"w": 3,
"x": 3,
"y": 5
},
"id": 15,
"links": [],
"maxDataPoints": 100,
"options": {
"orientation": "horizontal",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"showThresholdLabels": false,
"showThresholdMarkers": true
},
"pluginVersion": "8.3.5",
"targets": [
{
"expr": "SUM(kube_pod_container_resource_requests{resource=\"cpu\", unit=\"core\"}) / SUM(kube_node_status_allocatable{resource=\"cpu\", unit=\"core\"}) * 100",
"format": "time_series",
"interval": "",
"intervalFactor": 1,
"refId": "A",
"step": 10
}
],
"title": "CPU Requests",
"type": "gauge"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"description": "Current RAM use vs RAM available",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [
{
"options": {
"match": "null",
"result": {
"text": "N/A"
}
},
"type": "special"
}
],
"max": 100,
"min": 0,
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "rgba(245, 54, 54, 0.9)",
"value": null
},
{
"color": "rgba(50, 172, 45, 0.97)",
"value": 30
},
{
"color": "#c15c17",
"value": 80
}
]
},
"unit": "percent"
},
"overrides": []
},
"gridPos": {
"h": 4,
"w": 3,
"x": 6,
"y": 5
},
"hideTimeOverride": true,
"id": 17,
"interval": "15",
"links": [],
"maxDataPoints": 100,
"options": {
"orientation": "horizontal",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"showThresholdLabels": false,
"showThresholdMarkers": true
},
"pluginVersion": "8.3.5",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"exemplar": true,
"expr": "SUM(container_memory_working_set_bytes{namespace!=\"\"}) / SUM(kube_node_status_allocatable{resource=\"memory\", unit=\"byte\"}) * 100",
"format": "time_series",
"instant": false,
"interval": "",
"intervalFactor": 1,
"legendFormat": "",
"refId": "A",
"step": 10
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"exemplar": true,
"expr": "",
"format": "time_series",
"instant": false,
"interval": "",
"intervalFactor": 1,
"legendFormat": "",
"refId": "B"
}
],
"timeFrom": "",
"title": "RAM Utilization",
"type": "gauge"
},
{
"datasource": {
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"description": "Current RAM requests vs RAM available",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [
{
"options": {
"match": "null",
"result": {
"text": "N/A"
}
},
"type": "special"
}
],
"max": 100,
"min": 0,
"thresholds": {
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"steps": [
{
"color": "rgba(245, 54, 54, 0.9)",
"value": null
},
{
"color": "rgba(50, 172, 45, 0.97)",
"value": 30
},
{
"color": "#c15c17",
"value": 80
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]
},
"unit": "percent"
},
"overrides": []
},
"gridPos": {
"h": 4,
"w": 3,
"x": 9,
"y": 5
},
"id": 19,
"links": [],
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"options": {
"orientation": "horizontal",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"showThresholdLabels": false,
"showThresholdMarkers": true
},
"pluginVersion": "8.3.5",
"targets": [
{
"expr": "(\n sum(kube_pod_container_resource_requests{resource=\"memory\", unit=\"byte\", namespace!=\"\"})\n /\n sum(kube_node_status_allocatable{resource=\"memory\", unit=\"byte\"})\n) * 100",
"format": "time_series",
"interval": "",
"intervalFactor": 1,
"refId": "A",
"step": 10
}
],
"title": "RAM Requests",
"type": "gauge"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"description": "This gauge shows the current standard storage use, including cluster storage, vs storage available",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"decimals": 2,
"mappings": [
{
"options": {
"match": "null",
"result": {
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}
},
"type": "special"
}
],
"max": 100,
"min": 0,
"thresholds": {
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"steps": [
{
"color": "rgba(245, 54, 54, 0.9)",
"value": null
},
{
"color": "rgba(50, 172, 45, 0.97)",
"value": 30
},
{
"color": "#c15c17",
"value": 80
}
]
},
"unit": "percent"
},
"overrides": []
},
"gridPos": {
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"w": 6,
"x": 12,
"y": 5
},
"hideTimeOverride": true,
"id": 21,
"links": [],
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"options": {
"orientation": "horizontal",
"reduceOptions": {
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"lastNotNull"
],
"fields": "",
"values": false
},
"showThresholdLabels": false,
"showThresholdMarkers": true
},
"pluginVersion": "8.3.5",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"exemplar": true,
"expr": "sum (\n sum(kube_persistentvolumeclaim_info) by (persistentvolumeclaim, namespace)\n + on (persistentvolumeclaim, namespace)\n sum(pod_pvc_allocation) by (persistentvolumeclaim, namespace) or up * 0\n + sum(container_fs_usage_bytes{device=~\"^/dev/[sv]d[a-z][1-9]$\",id=\"/\"})\n) /\nsum (\n sum(kube_persistentvolumeclaim_info) by (persistentvolumeclaim, namespace)\n + on (persistentvolumeclaim, namespace)\n sum(kube_persistentvolumeclaim_resource_requests_storage_bytes) by (persistentvolumeclaim, namespace) or up * 0\n + sum(container_fs_limit_bytes{device=~\"^/dev/[sv]d[a-z][1-9]$\",id=\"/\"})\n) * 100",
"format": "time_series",
"interval": "",
"intervalFactor": 1,
"legendFormat": "",
"refId": "A",
"step": 10
}
],
"timeFrom": "",
"title": "Storage Utilization",
"type": "gauge"
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": {
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"description": "Monthly run rate of CPU + GPU costs",
"fill": 1,
"fillGradient": 0,
"gridPos": {
"h": 7,
"w": 6,
"x": 0,
"y": 9
},
"hiddenSeries": false,
"id": 6,
"interval": "1m",
"legend": {
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"current": false,
"max": false,
"min": false,
"show": false,
"total": false,
"values": false
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"options": {
"alertThreshold": true
},
"percentage": false,
"pluginVersion": "8.3.5",
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "sum(\n avg(kube_node_status_capacity{resource=\"cpu\", unit=\"core\"}) by (node) * avg(node_cpu_hourly_cost) by (node) * 730 +\n avg(node_gpu_hourly_cost) by (node) * 730\n)",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "compute cost",
"refId": "A"
}
],
"thresholds": [],
"timeRegions": [],
"title": "Compute Cost",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"mode": "time",
"show": true,
"values": []
},
"yaxes": [
{
"format": "currencyUSD",
"logBase": 1,
"min": "0",
"show": true
},
{
"format": "short",
"logBase": 1,
"show": true
}
],
"yaxis": {
"align": false
}
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": {
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"description": "Monthly run rate of memory costs",
"fill": 1,
"fillGradient": 0,
"gridPos": {
"h": 7,
"w": 6,
"x": 6,
"y": 9
},
"hiddenSeries": false,
"id": 9,
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"current": false,
"max": false,
"min": false,
"show": false,
"total": false,
"values": false
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"options": {
"alertThreshold": true
},
"percentage": false,
"pluginVersion": "8.3.5",
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "sum(\n avg(kube_node_status_capacity{resource=\"memory\", unit=\"byte\"}) by (node) / 1024 / 1024 / 1024 * avg(node_ram_hourly_cost) by (node) * 730\n)",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "memory cost",
"refId": "A"
}
],
"thresholds": [],
"timeRegions": [],
"title": "Memory Cost",
"tooltip": {
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"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
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"show": true,
"values": []
},
"yaxes": [
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"format": "currencyUSD",
"logBase": 1,
"min": "0",
"show": true
},
{
"format": "short",
"logBase": 1,
"show": true
}
],
"yaxis": {
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}
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"description": "Monthly run rate of attached disk + PV storage costs",
"fill": 1,
"fillGradient": 0,
"gridPos": {
"h": 7,
"w": 6,
"x": 12,
"y": 9
},
"hiddenSeries": false,
"id": 10,
"interval": "1m",
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"current": false,
"max": false,
"min": false,
"show": false,
"total": false,
"values": false
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"options": {
"alertThreshold": true
},
"percentage": false,
"pluginVersion": "8.3.5",
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"exemplar": true,
"expr": "sum(\n avg(avg_over_time(pv_hourly_cost[$timeRange] offset 1m)) by (persistentvolume) * 730 \n * avg(avg_over_time(kube_persistentvolume_capacity_bytes[$timeRange] offset 1m)) by (persistentvolume) / 1024 / 1024 / 1024\n) +\n(sum(sum(container_fs_limit_bytes{device!=\"tmpfs\", id=\"/\"}) by (instance) / 1024 / 1024 / 1024) * $localStorageGBCost OR on() vector(0))",
"format": "time_series",
"interval": "",
"intervalFactor": 1,
"legendFormat": "storage cost",
"refId": "A"
}
],
"thresholds": [],
"timeRegions": [],
"title": "Storage Cost",
"tooltip": {
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"sort": 0,
"value_type": "individual"
},
"type": "graph",
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"show": true,
"values": []
},
"yaxes": [
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"format": "currencyUSD",
"logBase": 1,
"min": "0",
"show": true
},
{
"format": "short",
"logBase": 1,
"show": true
}
],
"yaxis": {
"align": false
}
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"description": "Sum of compute, memory, and storage costs",
"fill": 1,
"fillGradient": 0,
"gridPos": {
"h": 7,
"w": 6,
"x": 18,
"y": 9
},
"hiddenSeries": false,
"id": 22,
"interval": "1m",
"legend": {
"avg": false,
"current": false,
"max": false,
"min": false,
"show": false,
"total": false,
"values": false
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"options": {
"alertThreshold": true
},
"percentage": false,
"pluginVersion": "8.3.5",
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"exemplar": true,
"expr": "# Compute\nsum(\n avg(kube_node_status_capacity{resource=\"cpu\", unit=\"core\"}) by (node) * avg(node_cpu_hourly_cost) by (node) * 730 * (1-$useDiscount/100) +\n avg(node_gpu_hourly_cost) by (node) * 730 * (1-$useDiscount/100)\n) +\n\n\n# Memory\nsum(\n avg(kube_node_status_capacity{resource=\"memory\", unit=\"byte\"}) by (node) / 1024 / 1024 / 1024 * avg(node_ram_hourly_cost) by (node) * 730 * (1-$useDiscount/100)\n) +\n\n# Storage \n\nsum(avg(pv_hourly_cost) by (persistentvolume) * 730 * avg(kube_persistentvolume_capacity_bytes) by (persistentvolume) / 1024 / 1024 / 1024) \n+\n(sum(sum(container_fs_limit_bytes{device!=\"tmpfs\", id=\"/\"}) by (instance) / 1024 / 1024 / 1024) * $localStorageGBCost OR on() vector(0))",
"format": "time_series",
"instant": false,
"interval": "",
"intervalFactor": 1,
"legendFormat": "total cost",
"refId": "A"
}
],
"thresholds": [],
"timeRegions": [],
"title": "Total Cost",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"mode": "time",
"show": true,
"values": []
},
"yaxes": [
{
"format": "currencyUSD",
"logBase": 1,
"min": "0",
"show": true
},
{
"format": "short",
"logBase": 1,
"show": true
}
],
"yaxis": {
"align": false
}
},
{
"columns": [],
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"description": "Cost of by resource class of currently provisioned nodes",
"fontSize": "100%",
"gridPos": {
"h": 9,
"w": 12,
"x": 0,
"y": 16
},
"id": 8,
"links": [],
"scroll": true,
"showHeader": true,
"sort": {
"col": 4,
"desc": false
},
"styles": [
{
"alias": "",
"align": "auto",
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"dateFormat": "YYYY-MM-DD HH:mm:ss",
"decimals": 2,
"mappingType": 1,
"pattern": "Time",
"thresholds": [],
"type": "hidden",
"unit": "short"
},
{
"alias": "Compute Cost",
"align": "auto",
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"dateFormat": "YYYY-MM-DD HH:mm:ss",
"decimals": 2,
"mappingType": 1,
"pattern": "Value",
"thresholds": [],
"type": "number",
"unit": "short"
},
{
"alias": "CPU Cost",
"align": "auto",
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"dateFormat": "YYYY-MM-DD HH:mm:ss",
"decimals": 2,
"mappingType": 1,
"pattern": "Value #A",
"thresholds": [],
"type": "number",
"unit": "currencyUSD"
},
{
"alias": "Mem Cost",
"align": "auto",
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"dateFormat": "YYYY-MM-DD HH:mm:ss",
"decimals": 2,
"mappingType": 1,
"pattern": "Value #B",
"thresholds": [],
"type": "number",
"unit": "currencyUSD"
},
{
"alias": "Total",
"align": "auto",
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"dateFormat": "YYYY-MM-DD HH:mm:ss",
"decimals": 2,
"mappingType": 1,
"pattern": "Value #C",
"thresholds": [],
"type": "number",
"unit": "currencyUSD"
},
{
"alias": "",
"align": "auto",
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"dateFormat": "YYYY-MM-DD HH:mm:ss",
"decimals": 2,
"mappingType": 1,
"pattern": "instance",
"thresholds": [],
"type": "hidden",
"unit": "short"
},
{
"alias": "GPU",
"align": "auto",
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"dateFormat": "YYYY-MM-DD HH:mm:ss",
"decimals": 2,
"mappingType": 1,
"pattern": "Value #D",
"thresholds": [],
"type": "number",
"unit": "short"
},
{
"alias": "",
"align": "auto",
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"decimals": 2,
"pattern": "/.*/",
"thresholds": [],
"type": "number",
"unit": "short"
}
],
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"exemplar": false,
"expr": "avg(kube_node_status_capacity{resource=\"cpu\", unit=\"core\"}) by (node) * avg(node_cpu_hourly_cost or up * 0) by (node) * 730 * (1-$useDiscount/100)",
"format": "table",
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": "",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"exemplar": false,
"expr": "avg(kube_node_status_capacity{resource=\"memory\", unit=\"byte\"}) by (node) / 1024 / 1024 / 1024 * avg(node_ram_hourly_cost) by (node) * 730 * (1-$useDiscount/100)",
"format": "table",
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": "",
"refId": "B"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"exemplar": false,
"expr": "avg(node_gpu_hourly_cost) by (node) * 730 * (1-$useDiscount/100)",
"format": "table",
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": "",
"refId": "D"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"exemplar": false,
"expr": "# CPU \navg(kube_node_status_capacity{resource=\"cpu\", unit=\"core\"}) by (node) * avg(node_cpu_hourly_cost or up * 0) by (node) * 730 * (1-$useDiscount/100) +\n# GPU\navg(node_gpu_hourly_cost) by (node) * 730 * (1-$useDiscount/100) +\n# Memory\navg(kube_node_status_capacity{resource=\"memory\", unit=\"byte\"}) by (node) / 1024 / 1024 / 1024 * avg(node_ram_hourly_cost) by (node) * 730 * (1-$useDiscount/100)\n",
"format": "table",
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": "",
"refId": "C"
}
],
"title": "Monthly Cost by Node",
"transform": "table",
"type": "table-old"
},
{
"datasource": {
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"description": "Monthly run rate of attached disk + PV storage costs based on currently provisioned resources.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-GrYlRd"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "currencyUSD"
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 12,
"x": 12,
"y": 16
},
"id": 25,
"interval": "1m",
"links": [],
"options": {
"displayMode": "lcd",
"orientation": "horizontal",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"showUnfilled": true,
"text": {}
},
"pluginVersion": "8.3.5",
"targets": [
{
"expr": "sum(\n avg(kube_node_status_capacity{resource=\"cpu\", unit=\"core\"}) by (node) * avg(node_cpu_hourly_cost) by (node) * 730 +\n avg(node_gpu_hourly_cost) by (node) * 730\n)",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "cpu",
"refId": "B"
},
{
"expr": "sum(\n avg(kube_node_status_capacity{resource=\"memory\", unit=\"byte\"}) by (node) / 1024 / 1024 / 1024 * avg(node_ram_hourly_cost) by (node) * 730\n)",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "memory",
"refId": "A"
},
{
"expr": "sum(\n avg(avg_over_time(pv_hourly_cost[$timeRange] offset 1m)) by (persistentvolume) * 730 \n * avg(avg_over_time(kube_persistentvolume_capacity_bytes[$timeRange] offset 1m)) by (persistentvolume) / 1024 / 1024 / 1024\n) +\nsum(avg(container_fs_limit_bytes{device!=\"tmpfs\", id=\"/\"}) by (instance) / 1024 / 1024 / 1024) * $localStorageGBCost",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "storage",
"refId": "C"
},
{
"expr": "SUM(rate(node_network_transmit_bytes_total{device=\"eth0\"}[60m]) / 1024 / 1024 / 1024 ) * (60 * 60 * 24 * 30) * $percentEgress * $egressCost ",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "network",
"refId": "D"
}
],
"title": "Monthly Cost by Resource",
"type": "bargauge"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
}
},
"mappings": []
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 25
},
"id": 29,
"options": {
"displayLabels": [
"percent"
],
"legend": {
"displayMode": "list",
"placement": "right",
"values": []
},
"pieType": "pie",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"tooltip": {
"mode": "single"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"exemplar": true,
"expr": "sum(sum(container_memory_allocation_bytes) by (container,namespace, instance) * on(instance) group_left() (\n\t\t\t\tnode_ram_hourly_cost{} / 1024 / 1024 / 1024\n\t\t\t\t+ on(node,instance_type) group_left()\n\t\t\t\t\tlabel_replace\n\t\t\t\t\t(\n\t\t\t\t\t\tkube_node_labels{}, \"instance_type\", \"$1\", \"label_node_kubernetes_io_instance_type\", \"(.*)\"\n\t\t\t\t\t) * 0\n\t\t\t)\n + \n sum(container_cpu_allocation) by (container,namespace, instance) * on(instance) group_left() (\n\t \t\t\tnode_cpu_hourly_cost{} + on(node,instance_type) group_left()\n\t\t \t\t\tlabel_replace\n\t\t \t\t\t(\n\t\t \t\t\t\tkube_node_labels{}, \"instance_type\", \"$1\", \"label_node_kubernetes_io_instance_type\", \"(.*)\"\n\t\t \t\t\t) * 0\n\t\t \t)) by (namespace, container)",
"interval": "",
"legendFormat": "{{namespace}} / {{container}}",
"refId": "A"
}
],
"title": "Hourly Cost by Container",
"type": "piechart"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
}
},
"mappings": []
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 25
},
"id": 31,
"options": {
"displayLabels": [
"percent"
],
"legend": {
"displayMode": "list",
"placement": "right",
"values": []
},
"pieType": "pie",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"tooltip": {
"mode": "single"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"exemplar": true,
"expr": "sum(sum(container_memory_allocation_bytes) by (namespace,instance) * on(instance) group_left() (\n\t\t\t\tnode_ram_hourly_cost{} / 1024 / 1024 / 1024\n\t\t\t\t+ on(node,instance_type) group_left()\n\t\t\t\t\tlabel_replace\n\t\t\t\t\t(\n\t\t\t\t\t\tkube_node_labels{}, \"instance_type\", \"$1\", \"label_node_kubernetes_io_instance_type\", \"(.*)\"\n\t\t\t\t\t) * 0\n\t\t\t)\n + \n sum(container_cpu_allocation) by (namespace,instance) * on(instance) group_left() (\n\t \t\t\tnode_cpu_hourly_cost{} + on(node,instance_type) group_left()\n\t\t \t\t\tlabel_replace\n\t\t \t\t\t(\n\t\t \t\t\t\tkube_node_labels{}, \"instance_type\", \"$1\", \"label_node_kubernetes_io_instance_type\", \"(.*)\"\n\t\t \t\t\t) * 0\n\t\t \t)) by (namespace)",
"interval": "",
"legendFormat": "{{namespace}}",
"refId": "A"
}
],
"title": "Hourly Cost by Namespace",
"type": "piechart"
}
],
"refresh": false,
"schemaVersion": 34,
"style": "dark",
"tags": [
"cost",
"utilization",
"metrics"
],
"templating": {
"list": [
{
"auto": true,
"auto_count": 1,
"auto_min": "1m",
"current": {
"selected": false,
"text": "auto",
"value": "$__auto_interval_timeRange"
},
"hide": 2,
"name": "timeRange",
"options": [
{
"selected": true,
"text": "auto",
"value": "$__auto_interval_timeRange"
},
{
"selected": false,
"text": "1h",
"value": "1h"
},
{
"selected": false,
"text": "6h",
"value": "6h"
},
{
"selected": false,
"text": "12h",
"value": "12h"
},
{
"selected": false,
"text": "1d",
"value": "1d"
},
{
"selected": false,
"text": "7d",
"value": "7d"
},
{
"selected": false,
"text": "14d",
"value": "14d"
},
{
"selected": false,
"text": "30d",
"value": "30d"
},
{
"selected": false,
"text": "90d",
"value": "90d"
}
],
"query": "1h,6h,12h,1d,7d,14d,30d,90d",
"refresh": 2,
"skipUrlSync": false,
"type": "interval"
},
{
"hide": 2,
"label": "Cost per Gb hour for attached disks",
"name": "localStorageGBCost",
"query": "${VAR_LOCALSTORAGEGBCOST}",
"skipUrlSync": false,
"type": "constant",
"current": {
"value": "${VAR_LOCALSTORAGEGBCOST}",
"text": "${VAR_LOCALSTORAGEGBCOST}",
"selected": false
},
"options": [
{
"value": "${VAR_LOCALSTORAGEGBCOST}",
"text": "${VAR_LOCALSTORAGEGBCOST}",
"selected": false
}
]
},
{
"current": {
"selected": true,
"text": "0",
"value": "0"
},
"hide": 0,
"label": "Sustained Use Discount %",
"name": "useDiscount",
"options": [
{
"selected": true,
"text": "0",
"value": "0"
}
],
"query": "0",
"skipUrlSync": false,
"type": "textbox"
},
{
"hide": 2,
"name": "percentEgress",
"query": "${VAR_PERCENTEGRESS}",
"skipUrlSync": false,
"type": "constant",
"current": {
"value": "${VAR_PERCENTEGRESS}",
"text": "${VAR_PERCENTEGRESS}",
"selected": false
},
"options": [
{
"value": "${VAR_PERCENTEGRESS}",
"text": "${VAR_PERCENTEGRESS}",
"selected": false
}
]
},
{
"hide": 2,
"name": "egressCost",
"query": "${VAR_EGRESSCOST}",
"skipUrlSync": false,
"type": "constant",
"current": {
"value": "${VAR_EGRESSCOST}",
"text": "${VAR_EGRESSCOST}",
"selected": false
},
"options": [
{
"value": "${VAR_EGRESSCOST}",
"text": "${VAR_EGRESSCOST}",
"selected": false
}
]
},
{
"current": {
"selected": false,
"text": "grafanacloud-prom",
"value": "grafanacloud-prom"
},
"hide": 0,
"includeAll": false,
"multi": false,
"name": "datasource",
"options": [],
"query": "prometheus",
"queryValue": "",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"type": "datasource"
},
{
"current": {},
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"definition": "query_result(sum(container_memory_working_set_bytes{namespace!=\"\"}) by (namespace))",
"hide": 0,
"includeAll": false,
"label": "ns",
"multi": false,
"name": "namespace",
"options": [],
"query": {
"query": "query_result(sum(container_memory_working_set_bytes{namespace!=\"\"}) by (namespace))",
"refId": "StandardVariableQuery"
},
"refresh": 1,
"regex": "/namespace=\\\"(.*?)(\\\")/",
"skipUrlSync": false,
"sort": 0,
"type": "query"
},
{
"current": {},
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"definition": "query_result(sum(container_memory_working_set_bytes{namespace=\"$namespace\"}) by (pod))",
"hide": 0,
"includeAll": false,
"label": "pod",
"multi": false,
"name": "pod",
"options": [],
"query": {
"query": "query_result(sum(container_memory_working_set_bytes{namespace=\"$namespace\"}) by (pod))",
"refId": "StandardVariableQuery"
},
"refresh": 1,
"regex": "/pod=\\\"(.*?)(\\\")/",
"skipUrlSync": false,
"sort": 1,
"type": "query"
},
{
"current": {},
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"definition": "cluster",
"hide": 0,
"includeAll": false,
"multi": false,
"name": "cluster",
"options": [],
"query": {
"query": "cluster",
"refId": "StandardVariableQuery"
},
"refresh": 1,
"regex": "/cluster=\\\"(.*?)(\\\")/",
"skipUrlSync": false,
"sort": 0,
"type": "query"
},
{
"current": {},
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"definition": "query_result(sum(container_memory_working_set_bytes{namespace=\"$namespace\"}) by (container))",
"hide": 0,
"includeAll": false,
"label": "conatiner",
"multi": false,
"name": "container",
"options": [],
"query": {
"query": "query_result(sum(container_memory_working_set_bytes{namespace=\"$namespace\"}) by (container))",
"refId": "StandardVariableQuery"
},
"refresh": 1,
"regex": "/container=\\\"(.*?)(\\\")/",
"skipUrlSync": false,
"sort": 0,
"type": "query"
},
{
"current": {},
"datasource": {
"type": "prometheus",
"uid": "${DS_GRAFANACLOUD-PROM}"
},
"definition": "node",
"hide": 0,
"includeAll": false,
"label": "node",
"multi": false,
"name": "node",
"options": [],
"query": {
"query": "node",
"refId": "StandardVariableQuery"
},
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
}
]
},
"time": {
"from": "now-7d",
"to": "now"
},
"timepicker": {
"refresh_intervals": [
"5s",
"10s",
"30s",
"1m",
"5m",
"15m",
"30m",
"1h",
"2h",
"1d"
],
"time_options": [
"5m",
"15m",
"1h",
"6h",
"12h",
"24h",
"2d",
"7d",
"30d"
]
},
"timezone": "",
"title": "Kubecost Dashboard for Grafana Cloud",
"uid": "JOUdHGZZz",
"version": 5,
"weekStart": "",
"gnetId": 18146
} | 2023-02-20 12:39:46 UTC | null | 0 | 0 |
18,580 | 1 | 841,606 | 28,493 | 0 | amlen-exporter | Amlen exporter | Dashboard for amlen prometheus exporter
https://github.com/heywood8/amlen-prometheus-exporter | 2023-04-21 18:49:10 UTC | 2023-04-21 18:53:20 UTC | 0 | null | 83,594 | 83,595 | Other | null | 0 | 0 | 28,493 | 1 | 18,580 | 1 | 0 | null | {
"__inputs": [
{
"name": "DS_PROMETHEUS",
"label": "Prometheus",
"description": "",
"type": "datasource",
"pluginId": "prometheus",
"pluginName": "Prometheus"
}
],
"__elements": {},
"__requires": [
{
"type": "panel",
"id": "gauge",
"name": "Gauge",
"version": ""
},
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "9.3.1"
},
{
"type": "datasource",
"id": "prometheus",
"name": "Prometheus",
"version": "1.0.0"
},
{
"type": "panel",
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} | 2023-04-21 18:49:10 UTC | 2023-04-21 18:50:31 UTC | 0 | 0 |
18,610 | 1 | 390,500 | 28,529 | 0 | ssp-v4-monitoring-dashboard | SSP-v4-Monitoring-Dashboard | Monitoring Dashboard for SSP v4 | 2023-04-26 06:11:09 UTC | 2023-04-26 06:11:41 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 28,529 | 1 | 18,610 | 1 | 0 | Monitoring Dashboard for SSP v4 | {
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} | 2023-04-26 06:11:09 UTC | null | 0 | 0 |
18,816 | 1 | 861,931 | 28,854 | 0 | test1 | test1 | test1 | 2023-05-24 02:50:42 UTC | 2023-05-24 02:50:59 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 28,854 | 1 | 18,816 | 1 | 0 | test1 | {
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"rawSql": "select label\r\n, gmv_yesterday\r\n, (gmv_yesterday - gmv_p2d)/gmv_p2d vs_last_2_day\r\n, (gmv_yesterday - gmv_p1w)/gmv_p1w vs_last_week\r\n, (gmv_yesterday - gmv_p1m)/gmv_p1m vs_last_month\r\nfrom \r\n(\r\n\tselect \r\n\tflag_act_exp \r\n\t, case \r\n\t\t\twhen flag_act_exp = 'ACTIVE' then 'only real agent operation account'\r\n\t\t\telse 'EXPIRED'\r\n\tend label\r\n\t, sum(\r\n\t\tcase \r\n\t\t\twhen substr(dt,1,10) = date_sub(curdate(), interval 1 day) then gmv end\r\n\t) gmv_yesterday\r\n\t, sum(\r\n\t\tcase \r\n\t\t\twhen substr(dt,1,10) = date_sub(curdate(), interval 2 day) then gmv end\r\n\t) gmv_p2d\r\n\t, sum(\r\n\t\tcase \r\n\t\t\twhen substr(dt,1,10) = date_sub(curdate(), interval 7 day) then gmv end\r\n\t) gmv_p1w\r\n\t, sum(\r\n\t\tcase \r\n\t\t\twhen substr(dt,1,10) = date_sub(curdate(), interval 1 month) then gmv end\r\n\t) gmv_p1m\r\n\t, sum(\r\n\t\tcase \r\n\t\t\twhen substr(dt,1,10) = date_sub(curdate(), interval 1 day) then number_of_orders end\r\n\t) order_yesterday\r\n\t, sum(\r\n\t\tcase \r\n\t\t\twhen substr(dt,1,10) = date_sub(curdate(), interval 7 day) then number_of_orders end\r\n\t) order_p1w\r\n\t, sum(\r\n\t\tcase \r\n\t\t\twhen substr(dt,1,10) = date_sub(curdate(), interval 1 month) then number_of_orders end\r\n\t) order_p1m\r\n\tfrom daily_gmv dg \r\n\tgroup by flag_act_exp \r\n\t, case \r\n\t\t\twhen flag_act_exp = 'ACTIVE' then 'only real agent operation account'\r\n\t\t\telse 'EXPIRED'\r\n\tend \r\n\tunion all\r\n\tselect flag_act_exp\r\n\t, account label\r\n\t, sum(\r\n\t\tcase \r\n\t\t\twhen substr(dt,1,10) = date_sub(curdate(), interval 1 day) then gmv end\r\n\t) gmv_yesterday\r\n\t, sum(\r\n\t\tcase \r\n\t\t\twhen substr(dt,1,10) = date_sub(curdate(), interval 2 day) then gmv end\r\n\t) gmv_p2d\r\n\t, sum(\r\n\t\tcase \r\n\t\t\twhen substr(dt,1,10) = date_sub(curdate(), interval 7 day) then gmv end\r\n\t) gmv_p1w\r\n\t, sum(\r\n\t\tcase \r\n\t\t\twhen substr(dt,1,10) = date_sub(curdate(), interval 1 month) then gmv end\r\n\t) gmv_p1m\r\n\t, sum(\r\n\t\tcase \r\n\t\t\twhen substr(dt,1,10) = date_sub(curdate(), interval 1 day) then number_of_orders end\r\n\t) order_yesterday\r\n\t, sum(\r\n\t\tcase \r\n\t\t\twhen substr(dt,1,10) = date_sub(curdate(), interval 7 day) then number_of_orders end\r\n\t) order_p1w\r\n\t, sum(\r\n\t\tcase \r\n\t\t\twhen substr(dt,1,10) = date_sub(curdate(), interval 1 month) then number_of_orders end\r\n\t) order_p1m\r\n\tfrom daily_gmv dg \r\n\tgroup by flag_act_exp \r\n\t, account \r\n\torder by flag_act_exp , gmv_yesterday desc\r\n) gmv\r\nwhere flag_act_exp = 'ACTIVE'\r\n",
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"tags": [],
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"time": {
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"to": "now"
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"timepicker": {
"refresh_intervals": [
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},
"timezone": "",
"title": "test1",
"uid": "e5114524-afd1-4e03-9040-285562fa2506",
"version": 11,
"weekStart": "",
"gnetId": 18816
} | 2023-05-24 02:50:42 UTC | null | 0 | 0 |
17,566 | 1 | 47,256 | 26,963 | 0 | home-energy-usage-v2 | Home Energy Usage v2 | A dashboard that shows your home energy usage. Using Prometheus, Home Assistant and the Emporia Vue 2. | 2022-12-07 20:03:45 UTC | 2022-12-07 20:08:39 UTC | 0 | null | 0 | 0 | Telegraf | null | 0 | 0 | 26,963 | 1 | 17,566 | 1 | 0 | A dashboard that shows your home energy usage. Using Prometheus, Home Assistant and the Emporia Vue 2. | {
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} | 2022-12-07 20:03:45 UTC | 2022-12-07 20:07:39 UTC | 0 | 0 |
17,586 | 1 | 760,035 | 27,006 | 0 | pi-k3s-simple-dashboard | Raspberry Pi K3S Nodes Overview | Dashboards for a K3S cluster where the Nodes consist of Raspberry Pi's (also does other kinds of nodes). Based on Dashboard 12869 (from matt7b7b). | 2022-12-12 22:42:22 UTC | 2022-12-13 21:30:45 UTC | 0 | This shows the health of the K3S Nodes.
As this is for a Homelab with RaspberryPis, there is a focus on the node being up and its temperature.
Based on Dashboard [12869](https://grafana.com/grafana/dashboards/12869-pi-k3s-simple-dashboard/) (from [matt7b7b](https://grafana.com/orgs/matt7b7b)). | 79,535 | 79,536 | nodeExporter | Nothing specific. | 0 | 0 | 27,006 | 1 | 17,586 | 1 | 0 | null | {
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"uid": "hRPap9IGz",
"version": 3,
"weekStart": "",
"description": "Dashboards for a K3S cluster where the Nodes consist of Raspberry Pi's (also does other kinds of nodes). Based on Dashboard 12869 (from matt7b7b)."
} | 2022-12-12 22:42:22 UTC | 2022-12-13 21:30:03 UTC | 0 | 0 |
17,948 | 1 | 783,213 | 27,529 | 0 | tarantool-dashboard | Tarantool dashboard | Dashboard for Tarantool application and database server monitoring, based on grafonnet library. | 2023-01-26 01:03:56 UTC | 2023-01-26 01:05:44 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 27,529 | 1 | 17,948 | 1 | 0 | Dashboard for Tarantool application and database server monitoring, based on grafonnet library. | {
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"pluginId": "influxdb",
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"type": "datasource"
},
{
"description": "InfluxDB Tarantool metrics measurement",
"label": "Measurement",
"name": "INFLUXDB_MEASUREMENT",
"type": "constant",
"value": "tarantool_http"
},
{
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}
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},
{
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},
{
"id": "text",
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{
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}
],
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},
"description": "Dashboard for Tarantool application and database server monitoring, based on grafonnet library.",
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"gnetId": 17948,
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"hideControls": false,
"id": null,
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"panels": [
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},
"id": 2,
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"linewidth": 1,
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"points": false,
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],
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{
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},
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"thresholdsStyle": {
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},
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},
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{
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"index": 0,
"text": "not running"
}
},
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},
{
"options": {
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"result": {
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"text": "-"
},
"to": 0.999
},
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}
],
"max": 1,
"min": 0,
"thresholds": {
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"steps": []
}
},
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},
"gridPos": {
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"w": 12,
"x": 0,
"y": 7
},
"id": 5,
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],
"displayMode": "table",
"placement": "right"
},
"tooltip": {
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}
},
"targets": [
{
"alias": "$tag_label_pairs_alias $tag_label_pairs_stream ($tag_label_pairs_id)",
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{
"params": [
"$__interval"
],
"type": "time"
},
{
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],
"type": "tag"
},
{
"params": [
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],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
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"select": [
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{
"params": [
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},
{
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"operator": "=~",
"value": "/^$alias$/"
}
]
}
],
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"type": "timeseries"
},
{
"datasource": "${DS_INFLUXDB}",
"description": "`master` status means instance is available for read and\nwrite operations. `replica` status means instance is\navailable only for read operations.\n\nPanel works with `metrics >= 0.11.0` and Grafana 8.x.\n",
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"scaleDistribution": {
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"stacking": {
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"mode": "none"
},
"thresholdsStyle": {
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}
},
"mappings": [
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"index": 0,
"text": "master"
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{
"options": {
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"index": 0,
"text": "replica"
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},
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},
{
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"result": {
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"text": "-"
},
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},
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],
"max": 1,
"min": 0,
"thresholds": {
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"steps": []
}
},
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},
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"w": 12,
"x": 12,
"y": 7
},
"id": 6,
"options": {
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],
"displayMode": "table",
"placement": "right"
},
"tooltip": {
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},
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"groupBy": [
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],
"type": "time"
},
{
"params": [
"label_pairs_alias"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
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{
"params": [
"value"
],
"type": "field"
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{
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"type": "last"
}
]
],
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"operator": "=",
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},
{
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"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
}
]
}
],
"title": "Tarantool instance status",
"type": "timeseries"
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"description": "Replication lag value for Tarantool instance.\n\nPanel works with `metrics >= 0.13.0`.\n",
"fill": 0,
"gridPos": {
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"w": 12,
"x": 0,
"y": 15
},
"id": 7,
"legend": {
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"avg": false,
"current": true,
"max": true,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
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],
"type": "time"
},
{
"params": [
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],
"type": "tag"
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],
"type": "tag"
},
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"params": [
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],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
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{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
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"operator": "=",
"value": "tnt_replication_lag"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Tarantool replication lag",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
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"mode": "time",
"name": null,
"show": true,
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},
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"show": true
},
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"max": null,
"min": 0,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"description": "Clock drift across the cluster.\nmax shows difference with the fastest clock (always positive),\nmin shows difference with the slowest clock (always negative).\n\nPanel works with `metrics >= 0.10.0`.\n",
"fill": 1,
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"x": 12,
"y": 15
},
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"sort": "current",
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},
"lines": true,
"linewidth": 1,
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"points": false,
"renderer": "flot",
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"stack": false,
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],
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},
{
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],
"type": "tag"
},
{
"params": [
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],
"type": "fill"
}
],
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"policy": "${INFLUXDB_POLICY}",
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"resultFormat": "time_series",
"select": [
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{
"params": [
"value"
],
"type": "field"
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{
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"type": "last"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_clock_delta"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Instances clock delta",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
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"show": true
},
{
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"min": null,
"show": true
}
]
}
],
"repeat": null,
"repeatIteration": null,
"repeatRowId": null,
"showTitle": true,
"title": "Cluster overview",
"titleSize": "h6",
"type": "row"
},
{
"collapse": true,
"collapsed": true,
"gridPos": {
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"w": 24,
"x": 0,
"y": 23
},
"id": 9,
"panels": [
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 3,
"description": "Requests, processed with success (code 2xx) on Tarantool's side.\nGraph shows mean count per second.\n",
"fill": 0,
"gridPos": {
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"w": 8,
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},
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"legend": {
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},
"lines": true,
"linewidth": 1,
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"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
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"groupBy": [
{
"params": [
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],
"type": "time"
},
{
"params": [
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],
"type": "tag"
},
{
"params": [
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],
"type": "tag"
},
{
"params": [
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],
"type": "tag"
},
{
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"label_pairs_status"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
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{
"params": [
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],
"type": "field"
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{
"params": [],
"type": "mean"
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{
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"type": "non_negative_derivative"
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],
"tags": [
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"key": "metric_name",
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"value": "http_server_request_latency_count"
},
{
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},
{
"condition": "AND",
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"operator": "=~",
"value": "/^2\\d{2}$/"
}
]
}
],
"thresholds": [],
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"timeShift": null,
"title": "Success requests (code 2xx)",
"tooltip": {
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"sort": 2,
"value_type": "individual"
},
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},
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},
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"h": 8,
"w": 8,
"x": 16,
"y": 93
},
"id": 38,
"legend": {
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"avg": false,
"current": true,
"max": false,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
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],
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},
{
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],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
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{
"params": [
"value"
],
"type": "field"
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{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_slab_items_size"
},
{
"condition": "AND",
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"operator": "=~",
"value": "/^$alias$/"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Allocated for tuples (items_size)",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 0,
"format": "bytes",
"label": "in bytes",
"logBase": 1,
"max": null,
"min": 0,
"show": true
},
{
"decimals": 3,
"format": "bytes",
"label": null,
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"min": 0,
"show": true
}
]
}
],
"repeat": null,
"repeatIteration": null,
"repeatRowId": null,
"showTitle": true,
"title": "Tarantool memtx allocation overview",
"titleSize": "h6",
"type": "row"
},
{
"collapse": true,
"collapsed": true,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 101
},
"id": 39,
"panels": [
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 0,
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"fill": 0,
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 102
},
"id": 40,
"legend": {
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"avg": false,
"current": true,
"max": false,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
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"stack": false,
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],
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{
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{
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],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
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{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "last"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_space_len"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
},
{
"condition": "AND",
"key": "label_pairs_engine",
"operator": "=",
"value": "memtx"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Number of records (memtx)",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
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"format": "none",
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"show": true
},
{
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"format": "none",
"label": null,
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"max": null,
"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 0,
"description": "Number of records in the space (vinyl engine).\nName of space is specified after dash.\nBy default this metrics is disabled,\nto enable it you must set global variable\ninclude_vinyl_count to true. Beware that\ncount() operation scans the space and may\nslow down your app. \n\nPanel works with `metrics >= 0.13.0`.\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 102
},
"id": 41,
"legend": {
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"avg": false,
"current": true,
"max": false,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
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],
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},
{
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"type": "tag"
},
{
"params": [
"label_pairs_name"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
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{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "last"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_vinyl_tuples"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
},
{
"condition": "AND",
"key": "label_pairs_engine",
"operator": "=",
"value": "vinyl"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Number of records (vinyl)",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
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"format": "none",
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"min": null,
"show": true
},
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"format": "none",
"label": null,
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"max": null,
"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
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"fill": 0,
"gridPos": {
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"y": 110
},
"id": 42,
"legend": {
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"max": false,
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"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
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],
"type": "time"
},
{
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"type": "tag"
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{
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"label_pairs_name"
],
"type": "tag"
},
{
"params": [
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],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
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{
"params": [
"value"
],
"type": "field"
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{
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}
]
],
"tags": [
{
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"operator": "=",
"value": "tnt_space_bsize"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
},
{
"condition": "AND",
"key": "label_pairs_engine",
"operator": "=",
"value": "memtx"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Data size (memtx)",
"tooltip": {
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"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
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"format": "bytes",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"decimals": 3,
"format": "bytes",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 3,
"description": "Total number of bytes taken by the index.\nName of space is specified after dash,\nindex name specified in parentheses.\nIncludes both memtx and vinyl spaces.\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 8,
"x": 8,
"y": 110
},
"id": 43,
"legend": {
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"show": true,
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},
"lines": true,
"linewidth": 1,
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"pointradius": 5,
"points": false,
"renderer": "flot",
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"stack": false,
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],
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],
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{
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],
"type": "tag"
},
{
"params": [
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],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
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{
"params": [
"value"
],
"type": "field"
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{
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}
]
],
"tags": [
{
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"operator": "=",
"value": "tnt_space_index_bsize"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Index size",
"tooltip": {
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"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
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},
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"show": true
}
]
},
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"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
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"fill": 0,
"gridPos": {
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"y": 110
},
"id": 44,
"legend": {
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"sort": "current",
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"values": true
},
"lines": true,
"linewidth": 1,
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"pointradius": 5,
"points": false,
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],
"type": "time"
},
{
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{
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],
"type": "tag"
},
{
"params": [
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],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_space_total_bsize"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
},
{
"condition": "AND",
"key": "label_pairs_engine",
"operator": "=",
"value": "memtx"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Total size (memtx)",
"tooltip": {
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"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 0,
"format": "bytes",
"label": null,
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"max": null,
"min": null,
"show": true
},
{
"decimals": 3,
"format": "bytes",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
}
],
"repeat": null,
"repeatIteration": null,
"repeatRowId": null,
"showTitle": true,
"title": "Tarantool space statistics",
"titleSize": "h6",
"type": "row"
},
{
"collapse": true,
"collapsed": true,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 118
},
"id": 45,
"panels": [
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 3,
"description": "The amount of data stored in the `.run` files located in the `vinyl_dir` directory.\n\nPanel works with `metrics >= 0.8.0`.\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 119
},
"id": 46,
"legend": {
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"avg": false,
"current": true,
"max": false,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
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"total": false,
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},
"lines": true,
"linewidth": 1,
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],
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{
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],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
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{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_vinyl_disk_data_size"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Vinyl disk data",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
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"decimals": 0,
"format": "bytes",
"label": null,
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"max": null,
"min": null,
"show": true
},
{
"decimals": 3,
"format": "bytes",
"label": null,
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"max": null,
"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 3,
"description": "The amount of data stored in the `.index` files located in the `vinyl_dir` directory.\n\nPanel works with `metrics >= 0.8.0`.\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 119
},
"id": 47,
"legend": {
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"avg": false,
"current": true,
"max": false,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "$tag_label_pairs_alias",
"groupBy": [
{
"params": [
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],
"type": "time"
},
{
"params": [
"label_pairs_alias"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_vinyl_disk_index_size"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Vinyl disk index",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 0,
"format": "bytes",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"decimals": 3,
"format": "bytes",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 3,
"description": "Amount of memory in bytes currently used to store tuples (data).\n\nPanel works with `metrics >= 0.8.0`.\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 8,
"x": 0,
"y": 127
},
"id": 48,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": true,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "$tag_label_pairs_alias",
"groupBy": [
{
"params": [
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],
"type": "time"
},
{
"params": [
"label_pairs_alias"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_vinyl_memory_tuple_cache"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Tuples cache memory",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 0,
"format": "bytes",
"label": "in bytes",
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"decimals": 3,
"format": "bytes",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 3,
"description": "Amount of memory in bytes currently used to store indexes.\nIf the metric value is close to box.cfg.vinyl_memory, this\nindicates that vinyl_page_size was chosen incorrectly.\n\nPanel works with `metrics >= 0.8.0`.\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 8,
"x": 8,
"y": 127
},
"id": 49,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": true,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "$tag_label_pairs_alias",
"groupBy": [
{
"params": [
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],
"type": "time"
},
{
"params": [
"label_pairs_alias"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_vinyl_memory_page_index"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Index memory",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 0,
"format": "bytes",
"label": "in bytes",
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"decimals": 3,
"format": "bytes",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 3,
"description": "Amount of memory in bytes used by bloom filters.\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 8,
"x": 16,
"y": 127
},
"id": 50,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": true,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "$tag_label_pairs_alias",
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"label_pairs_alias"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_vinyl_memory_bloom_filter"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Bloom filter memory",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 0,
"format": "bytes",
"label": "in bytes",
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"decimals": 3,
"format": "bytes",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 3,
"description": "The estimated average rate of taking dumps, bytes per second.\nInitially, the rate value is 10 megabytes per second\nand being recalculated depending on the the actual rate.\nOnly significant dumps that are larger than one megabyte\nare used for the estimate.\n\nPanel works with `metrics >= 0.8.0`.\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 8,
"x": 0,
"y": 135
},
"id": 51,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": true,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "$tag_label_pairs_alias",
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"label_pairs_alias"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_vinyl_regulator_dump_bandwidth"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Vinyl regulator dump bandwidth",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 0,
"format": "Bps",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"decimals": 3,
"format": "Bps",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 3,
"description": "The actual average rate of performing the write operations, bytes per second.\nThe rate is calculated as a 5-second moving average.\nIf the metric value is gradually going down, this can indicate some disk issues.\n\nPanel works with `metrics >= 0.8.0`.\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 8,
"x": 8,
"y": 135
},
"id": 52,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": true,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "$tag_label_pairs_alias",
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"label_pairs_alias"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_vinyl_regulator_write_rate"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Vinyl regulator write rate",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 0,
"format": "Bps",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"decimals": 3,
"format": "Bps",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 3,
"description": "The write rate limit, bytes per second.\nThe regulator imposes the limit on transactions based on the observed dump/compaction performance.\nIf the metric value is down to approximately 100 Kbps,\nthis indicates issues with the disk or the scheduler.\n\nPanel works with `metrics >= 0.8.0`.\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 8,
"x": 16,
"y": 135
},
"id": 53,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": true,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "$tag_label_pairs_alias",
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"label_pairs_alias"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_vinyl_regulator_rate_limit"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Vinyl regulator rate limit",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 0,
"format": "Bps",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"decimals": 3,
"format": "Bps",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 3,
"description": "«Level 0» (L0) memory area in bytes. L0 is the area that\nvinyl can use for in-memory storage of an LSM tree.\nBy monitoring this metric, you can see when L0 is getting\nclose to its maximum (tnt_vinyl_regulator_dump_watermark),\nat which time a dump will occur. You can expect L0 = 0\nimmediately after the dump operation is completed.\n\nPanel works with `metrics >= 0.8.0`.\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 8,
"x": 0,
"y": 143
},
"id": 54,
"legend": {
"alignAsTable": true,
"avg": false,
"current": true,
"max": true,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "$tag_label_pairs_alias",
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"label_pairs_alias"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_vinyl_memory_level0"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Level 0 memory",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 0,
"format": "bytes",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"decimals": 3,
"format": "bytes",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 3,
"description": "The maximum amount of memory used for in-memory storing of a vinyl LSM tree.\nWhen accessing this maximum, the dumping must occur.\nFor details, see https://www.tarantool.io/en/doc/latest/book/box/engines/#engines-algorithm-filling-lsm.\nThe value is slightly smaller than the amount of memory allocated for vinyl trees,\nwhich is the `vinyl_memory` parameter.\n\nPanel works with `metrics >= 0.8.0`.\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 8,
"x": 8,
"y": 143
},
"id": 55,
"legend": {
"alignAsTable": true,
"avg": false,
"current": true,
"max": false,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "$tag_label_pairs_alias",
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"label_pairs_alias"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_vinyl_regulator_dump_watermark"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Vinyl regulator dump watermark",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 0,
"format": "bytes",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"decimals": 3,
"format": "bytes",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 3,
"description": "The number of fibers that are blocked waiting for Vinyl level0 memory quota.\n\nPanel works with `metrics >= 0.13.0` and `Tarantool >= 2.8.3`.\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 8,
"x": 16,
"y": 143
},
"id": 56,
"legend": {
"alignAsTable": true,
"avg": false,
"current": true,
"max": false,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
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"timeShift": null,
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"tooltip": {
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{
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}
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}
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"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Vinyl tx commit rate",
"tooltip": {
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"sort": 2,
"value_type": "individual"
},
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"name": null,
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"gridPos": {
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}
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}
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"thresholds": [],
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"timeShift": null,
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"tooltip": {
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"sort": 2,
"value_type": "individual"
},
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"buckets": null,
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},
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}
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"title": "Vinyl read views",
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},
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"x": 0,
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},
{
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"operator": "=~",
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},
{
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"value": "inprogress"
}
]
}
],
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"timeShift": null,
"title": "Vinyl scheduler tasks in progress",
"tooltip": {
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"sort": 2,
"value_type": "individual"
},
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"buckets": null,
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"name": null,
"show": true,
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"show": true
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"format": "none",
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"max": null,
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"show": true
}
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"datasource": "${DS_INFLUXDB}",
"decimals": 3,
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"fill": 0,
"gridPos": {
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"x": 6,
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},
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"measurement": "${INFLUXDB_MEASUREMENT}",
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"operator": "=",
"value": "tnt_vinyl_scheduler_tasks"
},
{
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"key": "label_pairs_alias",
"operator": "=~",
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},
{
"condition": "AND",
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"operator": "=",
"value": "failed"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Vinyl scheduler failed tasks rate",
"tooltip": {
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"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
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"format": "none",
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"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
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"format": "none",
"label": null,
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"max": null,
"min": null,
"show": true
}
]
},
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"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 3,
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"fill": 0,
"gridPos": {
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"x": 12,
"y": 159
},
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],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
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"operator": "=",
"value": "tnt_vinyl_scheduler_dump_time"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
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}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Vinyl scheduler dump time rate",
"tooltip": {
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"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
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"decimals": 3,
"format": "s",
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"show": true
},
{
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"format": "s",
"label": null,
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"show": true
}
]
},
{
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"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 3,
"description": "Scheduler dumps completed average per second rate.\n\nPanel works with `metrics >= 0.13.0`.\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 6,
"x": 18,
"y": 159
},
"id": 64,
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"show": true,
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"total": false,
"values": true
},
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"pointradius": 5,
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],
"type": "tag"
},
{
"params": [
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],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
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{
"params": [
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"repeatIteration": null,
"repeatRowId": null,
"showTitle": true,
"title": "Tarantool operations statistics",
"titleSize": "h6",
"type": "row"
},
{
"collapse": true,
"collapsed": true,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 283
},
"id": 110,
"panels": [
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 2,
"description": "Total count of success SELECT and PAIRS requests to cluster spaces with CRUD module.\nGraph shows average requests per second.\n\nCRUD 0.11.0 or newer is required to use statistics.\nEnable statistics with `crud.cfg{stats = true, stats_driver = 'metrics'}`\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 6,
"x": 0,
"y": 284
},
"id": 111,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": true,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "$tag_label_pairs_alias — $tag_label_pairs_name",
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"label_pairs_alias"
],
"type": "tag"
},
{
"params": [
"label_pairs_name"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
},
{
"params": [
"1s"
],
"type": "non_negative_derivative"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_crud_stats_count"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
},
{
"condition": "AND",
"key": "label_pairs_operation",
"operator": "=",
"value": "select"
},
{
"condition": "AND",
"key": "label_pairs_status",
"operator": "=",
"value": "ok"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "SELECT success requests",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 2,
"format": "none",
"label": "requests per second",
"logBase": 1,
"max": null,
"min": 0,
"show": true
},
{
"decimals": 2,
"format": "none",
"label": null,
"logBase": 1,
"max": null,
"min": 0,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 2,
"description": "99th percentile of success SELECT and PAIRS CRUD module requests latency with aging.\n\nCRUD 0.11.0 or newer is required to use statistics.\nEnable quantiles with `crud.cfg{stats = true, stats_driver = 'metrics', stats_quantiles = true}`.\nIf `No data` displayed yet data expected, try to calibrate tolerated error with\n`crud.cfg{stats_quantile_tolerated_error=1e-4}`.\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 6,
"x": 6,
"y": 284
},
"id": 112,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": true,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "$tag_label_pairs_alias — $tag_label_pairs_name",
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"label_pairs_alias"
],
"type": "tag"
},
{
"params": [
"label_pairs_name"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_crud_stats"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
},
{
"condition": "AND",
"key": "label_pairs_operation",
"operator": "=",
"value": "select"
},
{
"condition": "AND",
"key": "label_pairs_status",
"operator": "=",
"value": "ok"
},
{
"condition": "AND",
"key": "label_pairs_quantile",
"operator": "=",
"value": "0.99"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "SELECT success requests latency",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 3,
"format": "s",
"label": "99th percentile",
"logBase": 1,
"max": null,
"min": 0,
"show": true
},
{
"decimals": 2,
"format": "s",
"label": null,
"logBase": 1,
"max": null,
"min": 0,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 2,
"description": "Total count of error SELECT and PAIRS requests to cluster spaces with CRUD module.\nGraph shows average requests per second.\n\nCRUD 0.11.0 or newer is required to use statistics.\nEnable statistics with `crud.cfg{stats = true, stats_driver = 'metrics'}`\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 6,
"x": 12,
"y": 284
},
"id": 113,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": true,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "$tag_label_pairs_alias — $tag_label_pairs_name",
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"label_pairs_alias"
],
"type": "tag"
},
{
"params": [
"label_pairs_name"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
},
{
"params": [
"1s"
],
"type": "non_negative_derivative"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_crud_stats_count"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
},
{
"condition": "AND",
"key": "label_pairs_operation",
"operator": "=",
"value": "select"
},
{
"condition": "AND",
"key": "label_pairs_status",
"operator": "=",
"value": "error"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "SELECT error requests",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 2,
"format": "none",
"label": "requests per second",
"logBase": 1,
"max": null,
"min": 0,
"show": true
},
{
"decimals": 2,
"format": "none",
"label": null,
"logBase": 1,
"max": null,
"min": 0,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 2,
"description": "99th percentile of error SELECT and PAIRS CRUD module requests latency with aging.\n\nCRUD 0.11.0 or newer is required to use statistics.\nEnable quantiles with `crud.cfg{stats = true, stats_driver = 'metrics', stats_quantiles = true}`.\nIf `No data` displayed yet data expected, try to calibrate tolerated error with\n`crud.cfg{stats_quantile_tolerated_error=1e-4}`.\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 6,
"x": 18,
"y": 284
},
"id": 114,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": true,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "$tag_label_pairs_alias — $tag_label_pairs_name",
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"label_pairs_alias"
],
"type": "tag"
},
{
"params": [
"label_pairs_name"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_crud_stats"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
},
{
"condition": "AND",
"key": "label_pairs_operation",
"operator": "=",
"value": "select"
},
{
"condition": "AND",
"key": "label_pairs_status",
"operator": "=",
"value": "error"
},
{
"condition": "AND",
"key": "label_pairs_quantile",
"operator": "=",
"value": "0.99"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "SELECT error requests latency",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 3,
"format": "s",
"label": "99th percentile",
"logBase": 1,
"max": null,
"min": 0,
"show": true
},
{
"decimals": 2,
"format": "s",
"label": null,
"logBase": 1,
"max": null,
"min": 0,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 3,
"description": "Average number of tuples fetched during SELECT/PAIRS request for a space.\nBoth success and error requests are taken into consideration.\n\nCRUD 0.11.0 or newer is required to use statistics.\nEnable statistics with `crud.cfg{stats = true, stats_driver = 'metrics'}`\n\nCurrent value may be 0 from time to time due to fill(0)\nand GROUP BY including partial intervals.\nRefer to https://github.com/influxdata/influxdb/issues/8244\nfor updates.\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 8,
"x": 0,
"y": 292
},
"id": 115,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": true,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "$tag_label_pairs_alias — $tag_label_pairs_name",
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"none"
],
"type": "fill"
}
],
"policy": "default",
"query": "SELECT mean(\"tnt_crud_tuples_fetched\") / (mean(\"tnt_crud_stats_count_ok\") + mean(\"tnt_crud_stats_count_error\"))\nas \"tnt_crud_tuples_per_request\" FROM\n(SELECT \"value\" as \"tnt_crud_tuples_fetched\" FROM \"${INFLUXDB_POLICY}\".\"${INFLUXDB_MEASUREMENT}\"\nWHERE (\"metric_name\" = 'tnt_crud_tuples_fetched' AND \"label_pairs_alias\" =~ /^$alias$/\nAND \"label_pairs_operation\" = 'select') AND $timeFilter),\n(SELECT \"value\" as \"tnt_crud_stats_count_error\" FROM \"${INFLUXDB_POLICY}\".\"${INFLUXDB_MEASUREMENT}\"\nWHERE (\"metric_name\" = 'tnt_crud_stats_count' AND \"label_pairs_alias\" =~ /^$alias$/\nAND \"label_pairs_operation\" = 'select' AND \"label_pairs_status\" = 'error') AND $timeFilter),\n(SELECT \"value\" as \"tnt_crud_stats_count_ok\" FROM \"${INFLUXDB_POLICY}\".\"${INFLUXDB_MEASUREMENT}\"\nWHERE (\"metric_name\" = 'tnt_crud_stats_count' AND \"label_pairs_alias\" =~ /^$alias$/\nAND \"label_pairs_operation\" = 'select' AND \"label_pairs_status\" = 'ok') AND $timeFilter)\nGROUP BY time($__interval * 2), \"label_pairs_alias\", \"label_pairs_name\" fill(0)\n",
"rawQuery": true,
"refId": "A",
"resultFormat": "time_series",
"select": [],
"tags": []
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "SELECT tuples fetched",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 0,
"format": "none",
"label": "tuples per request",
"logBase": 1,
"max": null,
"min": 0,
"show": true
},
{
"decimals": 3,
"format": "none",
"label": null,
"logBase": 1,
"max": null,
"min": 0,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 3,
"description": "Average number of tuples looked up on storages while collecting responses\nfor SELECT/PAIRS requests (including scrolls for multibatch requests)\nfor a space. Both success and error requests are taken into consideration.\n\nCRUD 0.11.0 or newer is required to use statistics.\nEnable statistics with `crud.cfg{stats = true, stats_driver = 'metrics'}`\n\nCurrent value may be 0 from time to time due to fill(0)\nand GROUP BY including partial intervals.\nRefer to https://github.com/influxdata/influxdb/issues/8244\nfor updates.\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 8,
"x": 8,
"y": 292
},
"id": 116,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": true,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "$tag_label_pairs_alias — $tag_label_pairs_name",
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"none"
],
"type": "fill"
}
],
"policy": "default",
"query": "SELECT mean(\"tnt_crud_tuples_lookup\") / (mean(\"tnt_crud_stats_count_ok\") + mean(\"tnt_crud_stats_count_error\"))\nas \"tnt_crud_tuples_per_request\" FROM\n(SELECT \"value\" as \"tnt_crud_tuples_lookup\" FROM \"${INFLUXDB_POLICY}\".\"${INFLUXDB_MEASUREMENT}\"\nWHERE (\"metric_name\" = 'tnt_crud_tuples_lookup' AND \"label_pairs_alias\" =~ /^$alias$/\nAND \"label_pairs_operation\" = 'select') AND $timeFilter),\n(SELECT \"value\" as \"tnt_crud_stats_count_error\" FROM \"${INFLUXDB_POLICY}\".\"${INFLUXDB_MEASUREMENT}\"\nWHERE (\"metric_name\" = 'tnt_crud_stats_count' AND \"label_pairs_alias\" =~ /^$alias$/\nAND \"label_pairs_operation\" = 'select' AND \"label_pairs_status\" = 'error') AND $timeFilter),\n(SELECT \"value\" as \"tnt_crud_stats_count_ok\" FROM \"${INFLUXDB_POLICY}\".\"${INFLUXDB_MEASUREMENT}\"\nWHERE (\"metric_name\" = 'tnt_crud_stats_count' AND \"label_pairs_alias\" =~ /^$alias$/\nAND \"label_pairs_operation\" = 'select' AND \"label_pairs_status\" = 'ok') AND $timeFilter)\nGROUP BY time($__interval * 2), \"label_pairs_alias\", \"label_pairs_name\" fill(0)\n",
"rawQuery": true,
"refId": "A",
"resultFormat": "time_series",
"select": [],
"tags": []
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "SELECT tuples lookup",
"tooltip": {
"shared": true,
"sort": 2,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 0,
"format": "none",
"label": "tuples per request",
"logBase": 1,
"max": null,
"min": 0,
"show": true
},
{
"decimals": 3,
"format": "none",
"label": null,
"logBase": 1,
"max": null,
"min": 0,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_INFLUXDB}",
"decimals": 3,
"description": "Number of SELECT and PAIRS requests that resulted in map reduce.\nGraph shows average requests per second.\nBoth success and error requests are taken into consideration.\n\nCRUD 0.11.0 or newer is required to use statistics.\nEnable statistics with `crud.cfg{stats = true, stats_driver = 'metrics'}`\n",
"fill": 0,
"gridPos": {
"h": 8,
"w": 8,
"x": 16,
"y": 292
},
"id": 117,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": true,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": null,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"repeat": null,
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "$tag_label_pairs_alias — $tag_label_pairs_name",
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"label_pairs_alias"
],
"type": "tag"
},
{
"params": [
"label_pairs_name"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "${INFLUXDB_MEASUREMENT}",
"policy": "${INFLUXDB_POLICY}",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
},
{
"params": [
"1s"
],
"type": "non_negative_derivative"
}
]
],
"tags": [
{
"key": "metric_name",
"operator": "=",
"value": "tnt_crud_map_reduces"
},
{
"condition": "AND",
"key": "label_pairs_alias",
"operator": "=~",
"value": "/^$alias$/"
},
{
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18,569 | 1 | 840,111 | 28,471 | 0 | restic-exporter | Restic Exporter | Restic statistics dashboard | 2023-04-19 19:30:54 UTC | 2023-04-19 19:31:11 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 28,471 | 1 | 18,569 | 1 | 0 | Restic statistics dashboard | {
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18,777 | 1 | 860,011 | 28,799 | 0 | speedtest | SpeedTest | A dashboard to display speedtest data overtime. | 2023-05-18 16:56:27 UTC | 2023-05-18 16:56:39 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 28,799 | 1 | 18,777 | 1 | 0 | A dashboard to display speedtest data overtime. | {
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} | 2023-05-18 16:56:27 UTC | null | 0 | 0 |
18,369 | 1 | 823,968 | 28,191 | 0 | weatherlinkip-weather-station | WeatherLinkIP Weather Station | A dashboard that visualizes weather data captured from WeatherLinkIP-enabled weather stations like the Vantage Vue or Vantage Pro2 weather stations from Davis Instruments. | 2023-03-27 14:30:35 UTC | 2023-03-27 14:30:49 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 28,191 | 1 | 18,369 | 1 | 0 | A dashboard that visualizes weather data captured from WeatherLinkIP-enabled weather stations like the Vantage Vue or Vantage Pro2 weather stations from Davis Instruments. | {
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} | 2023-03-27 14:30:35 UTC | null | 0 | 0 |
18,525 | 1 | 833,360 | 28,410 | 0 | climate | climate | A simple dashboard to visualize temperature and humidity data from InfluxDB | 2023-04-14 15:00:29 UTC | 2023-04-14 15:03:41 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 28,410 | 1 | 18,525 | 1 | 0 | null | {
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18,780 | 1 | 858,006 | 28,802 | 0 | test-1 | test_1 | nanannanannaa | 2023-05-19 03:43:04 UTC | 2023-05-19 03:43:30 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 28,802 | 1 | 18,780 | 1 | 0 | null | {
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"refId": "A",
"sql": {
"columns": [
{
"parameters": [],
"type": "function"
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],
"groupBy": [
{
"property": {
"type": "string"
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"type": "groupBy"
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"limit": 50
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"title": "Order Growth",
"type": "table"
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],
"refresh": "",
"schemaVersion": 38,
"style": "dark",
"tags": [],
"templating": {
"list": []
},
"time": {
"from": "now-6h",
"to": "now"
},
"timepicker": {},
"timezone": "",
"title": "test_1",
"uid": "b19bdd91-3417-4c05-a2a4-58642b082139",
"version": 6,
"weekStart": "",
"gnetId": 18780,
"description": "nanannanannaa"
} | 2023-05-19 03:43:04 UTC | 2023-05-19 03:43:30 UTC | 0 | 0 |
18,555 | 1 | 316,977 | 28,448 | 0 | sae-application-overview | SAE Application Overview | 阿里云SAE应用全局大盘 | 2023-04-18 11:06:47 UTC | 2023-04-18 11:07:06 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 28,448 | 1 | 18,555 | 1 | 0 | 阿里云SAE应用全局大盘 | {
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"expr": "((sum by (pid) (sum_over_time(arms_app_requests_count{callType=~\"^dsf$|^http$|^dubbo$|^mq$|^user_method$|^producer$|^thrift$|^hsf$|^server$|^grpc$\",prpc=\"__all__\",ppid=\"__all__\",endpoint=\"__all__\",destId=\"__all__\",rpc!=\"__all__\"}[$__range])) - \nsum by (pid) (sum_over_time(arms_app_requests_count{callType=~\"^dsf$|^http$|^dubbo$|^mq$|^user_method$|^producer$|^thrift$|^hsf$|^server$|^grpc$\",prpc=\"__all__\",ppid=\"__all__\",endpoint=\"__all__\",destId=\"__all__\",rpc!=\"__all__\"}[$__range] offset 1d)))\n/ \nsum by (pid) (sum_over_time(arms_app_requests_count{callType=~\"^dsf$|^http$|^dubbo$|^mq$|^user_method$|^producer$|^thrift$|^hsf$|^server$|^grpc$\",prpc=\"__all__\",ppid=\"__all__\",endpoint=\"__all__\",destId=\"__all__\",rpc!=\"__all__\"}[$__range] offset 1d)))or on () group by (pid) (arms_system_cpu_idle{})-1",
"format": "table",
"hide": false,
"instant": true,
"range": false,
"refId": "D"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_ARMS_METRICS_CN-BEIJING_CLOUD_BEIJING_1335361019749128}"
},
"editorMode": "code",
"exemplar": false,
"expr": "((sum by (pid) (sum_over_time(arms_app_requests_error_count{callType=~\"^dsf$|^http$|^dubbo$|^mq$|^user_method$|^producer$|^thrift$|^hsf$|^server$|^grpc$\",prpc=\"__all__\",ppid=\"__all__\",endpoint=\"__all__\",destId=\"__all__\",rpc!=\"__all__\"}[$__range])) - sum by (pid) (sum_over_time(arms_app_requests_error_count{callType=~\"^dsf$|^http$|^dubbo$|^mq$|^user_method$|^producer$|^thrift$|^hsf$|^server$|^grpc$\",prpc=\"__all__\",ppid=\"__all__\",endpoint=\"__all__\",destId=\"__all__\",rpc!=\"__all__\"}[$__range] offset 1d )))\n/\nsum by (pid) (sum_over_time(arms_app_requests_error_count{callType=~\"^dsf$|^http$|^dubbo$|^mq$|^user_method$|^producer$|^thrift$|^hsf$|^server$|^grpc$\",prpc=\"__all__\",ppid=\"__all__\",endpoint=\"__all__\",destId=\"__all__\",rpc!=\"__all__\"}[$__range] offset 1d )))or on () group by (pid) (arms_system_cpu_idle{})-1",
"format": "table",
"hide": false,
"instant": true,
"range": false,
"refId": "E"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_ARMS_METRICS_CN-BEIJING_CLOUD_BEIJING_1335361019749128}"
},
"editorMode": "code",
"exemplar": false,
"expr": "((sum by (pid) (sum_over_time(arms_app_requests_seconds{callType=~\"^dsf$|^http$|^dubbo$|^mq$|^user_method$|^producer$|^thrift$|^hsf$|^server$|^grpc$\",prpc=\"__all__\",ppid=\"__all__\",endpoint=\"__all__\",destId=\"__all__\",rpc!=\"__all__\"}[$__range]))/sum by (pid) (sum_over_time(arms_app_requests_count{callType=~\"^dsf$|^http$|^dubbo$|^mq$|^user_method$|^producer$|^thrift$|^hsf$|^server$|^grpc$\",prpc=\"__all__\",ppid=\"__all__\",endpoint=\"__all__\",destId=\"__all__\",rpc!=\"__all__\"}[$__range]))\n-\nsum by (pid) (sum_over_time(arms_app_requests_seconds{callType=~\"^dsf$|^http$|^dubbo$|^mq$|^user_method$|^producer$|^thrift$|^hsf$|^server$|^grpc$\",prpc=\"__all__\",ppid=\"__all__\",endpoint=\"__all__\",destId=\"__all__\",rpc!=\"__all__\"}[$__range]))/sum by (pid) (sum_over_time(arms_app_requests_count{callType=~\"^dsf$|^http$|^dubbo$|^mq$|^user_method$|^producer$|^thrift$|^hsf$|^server$|^grpc$\",prpc=\"__all__\",ppid=\"__all__\",endpoint=\"__all__\",destId=\"__all__\",rpc!=\"__all__\"}[$__range] offset 1d )))\n/\nsum by (pid) (sum_over_time(arms_app_requests_seconds{callType=~\"^dsf$|^http$|^dubbo$|^mq$|^user_method$|^producer$|^thrift$|^hsf$|^server$|^grpc$\",prpc=\"__all__\",ppid=\"__all__\",endpoint=\"__all__\",destId=\"__all__\",rpc!=\"__all__\"}[$__range]))/sum by (pid) (sum_over_time(arms_app_requests_count{callType=~\"^dsf$|^http$|^dubbo$|^mq$|^user_method$|^producer$|^thrift$|^hsf$|^server$|^grpc$\",prpc=\"__all__\",ppid=\"__all__\",endpoint=\"__all__\",destId=\"__all__\",rpc!=\"__all__\"}[$__range] offset 1d )))or on () group by (pid) (arms_system_cpu_idle{})-1",
"format": "table",
"hide": false,
"instant": true,
"range": false,
"refId": "F"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_CLOUD-PRODUCT-PROMETHEUS_CN-BEIJING_SAE_1335361019749128}"
},
"editorMode": "code",
"exemplar": false,
"expr": "label_replace (avg by (appId)((app_replicas_count{}) > 0 ),\"pid\", \"$1\", \"appId\",\"(.*)\")",
"format": "table",
"hide": false,
"instant": true,
"range": false,
"refId": "G"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_CLOUD-PRODUCT-PROMETHEUS_CN-BEIJING_SAE_1335361019749128}"
},
"editorMode": "code",
"exemplar": false,
"expr": "label_replace (avg by (appId)(avg_over_time(cpu{product=\"sae_infrastructure\",tag=\"v2\",workload=\"app\"}[59s])),\"pid\", \"$1\", \"appId\",\"(.*)\")",
"format": "table",
"hide": false,
"instant": true,
"range": false,
"refId": "H"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_CLOUD-PRODUCT-PROMETHEUS_CN-BEIJING_SAE_1335361019749128}"
},
"editorMode": "code",
"exemplar": false,
"expr": "label_replace (avg by (appId)(avg_over_time(memoryPercent{product=\"sae_infrastructure\",tag=\"v2\",workload=\"app\"}[59s])),\"pid\", \"$1\", \"appId\",\"(.*)\")/100",
"format": "table",
"hide": false,
"instant": true,
"range": false,
"refId": "I"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_CLOUD-PRODUCT-PROMETHEUS_CN-BEIJING_SAE_1335361019749128}"
},
"editorMode": "code",
"exemplar": false,
"expr": "label_replace (avg by (appId)(avg_over_time(cpuCore{product=\"sae_infrastructure\",workload=\"app\"}[59s])),\"pid\", \"$1\", \"appId\",\"(.*)\")",
"format": "table",
"hide": false,
"instant": true,
"range": false,
"refId": "J"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_CLOUD-PRODUCT-PROMETHEUS_CN-BEIJING_SAE_1335361019749128}"
},
"editorMode": "code",
"exemplar": false,
"expr": "label_replace (avg by (appId)(avg_over_time(memoryTotalMB{product=\"sae_infrastructure\",tag=\"v2\",workload=\"app\"}[59s])),\"pid\", \"$1\", \"appId\",\"(.*)\")/1024",
"format": "table",
"hide": false,
"instant": true,
"range": false,
"refId": "K"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_CLOUD-PRODUCT-PROMETHEUS_CN-BEIJING_SAE_1335361019749128}"
},
"editorMode": "code",
"exemplar": false,
"expr": "label_replace (avg by (appId)(avg_over_time(cpuCore{product=\"sae_infrastructure\",workload=\"app\"}[59s])),\"pid\", \"$1\", \"appId\",\"(.*)\")",
"format": "table",
"hide": true,
"instant": true,
"range": false,
"refId": "L"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_CLOUD-PRODUCT-PROMETHEUS_CN-BEIJING_SAE_1335361019749128}"
},
"editorMode": "code",
"exemplar": false,
"expr": "label_replace (avg by (appId)(avg_over_time(diskUsed{product=\"sae_infrastructure\",workload=\"app\"}[59s])),\"pid\", \"$1\", \"appId\",\"(.*)\")\n/\nlabel_replace (avg by (appId)(avg_over_time(diskTotal{product=\"sae_infrastructure\",workload=\"app\"}[59s])),\"pid\", \"$1\", \"appId\",\"(.*)\")",
"format": "table",
"hide": false,
"instant": true,
"range": false,
"refId": "M"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_CLOUD-PRODUCT-PROMETHEUS_CN-BEIJING_SAE_1335361019749128}"
},
"editorMode": "code",
"exemplar": false,
"expr": "label_replace (avg by (appId)(avg_over_time(netRecv{product=\"sae_infrastructure\",workload=\"app\"}[59s])),\"pid\", \"$1\", \"appId\",\"(.*)\")",
"format": "table",
"hide": false,
"instant": true,
"range": false,
"refId": "N"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_CLOUD-PRODUCT-PROMETHEUS_CN-BEIJING_SAE_1335361019749128}"
},
"editorMode": "code",
"exemplar": false,
"expr": "label_replace (avg by (appId)(avg_over_time(netTran{product=\"sae_infrastructure\",workload=\"app\"}[59s])),\"pid\", \"$1\", \"appId\",\"(.*)\")",
"format": "table",
"hide": false,
"instant": true,
"range": false,
"refId": "O"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_CLOUD-PRODUCT-PROMETHEUS_CN-BEIJING_SAE_1335361019749128}"
},
"editorMode": "code",
"exemplar": false,
"expr": "label_replace (count by (appId,name ,namespace) (cpu{product=\"sae_infrastructure\",tag=\"v2\", workload=\"app\"}),\"pid\", \"$1\", \"appId\",\"(.*)\")",
"format": "table",
"hide": false,
"instant": true,
"range": false,
"refId": "P"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_CLOUD-PRODUCT-PROMETHEUS_CN-BEIJING_SAE_1335361019749128}"
},
"editorMode": "code",
"exemplar": false,
"expr": "label_replace (avg by (appId)((app_available_replicas_count{}) ),\"pid\", \"$1\", \"appId\",\"(.*)\")",
"format": "table",
"hide": false,
"instant": true,
"range": false,
"refId": "Q"
}
],
"title": "应用汇总",
"transformations": [
{
"id": "seriesToColumns",
"options": {
"byField": "pid"
}
},
{
"id": "organize",
"options": {
"excludeByName": {
"Time": true,
"Time 1": true,
"Time 10": true,
"Time 11": true,
"Time 13": true,
"Time 14": true,
"Time 15": true,
"Time 16": true,
"Time 2": true,
"Time 3": true,
"Time 4": true,
"Time 5": true,
"Time 6": true,
"Time 7": true,
"Time 8": true,
"Value #D": false,
"Value #P": true,
"appId": false,
"appId 1": false,
"appId 10": true,
"appId 2": true,
"appId 3": true,
"appId 4": true,
"appId 5": true,
"appId 6": true,
"appId 7": true,
"appId 8": true,
"appId 9": true,
"pid": false
},
"indexByName": {
"Time 1": 12,
"Time 10": 29,
"Time 11": 31,
"Time 12": 33,
"Time 13": 35,
"Time 14": 37,
"Time 15": 39,
"Time 16": 43,
"Time 2": 13,
"Time 3": 19,
"Time 4": 22,
"Time 5": 23,
"Time 6": 24,
"Time 7": 25,
"Time 8": 26,
"Time 9": 27,
"Value #A": 15,
"Value #B": 17,
"Value #C": 20,
"Value #D": 16,
"Value #E": 18,
"Value #F": 21,
"Value #G": 4,
"Value #H": 5,
"Value #I": 7,
"Value #J": 6,
"Value #K": 8,
"Value #M": 9,
"Value #N": 10,
"Value #O": 11,
"Value #P": 40,
"Value #Q": 3,
"appId 1": 0,
"appId 10": 44,
"appId 2": 28,
"appId 3": 30,
"appId 4": 32,
"appId 5": 34,
"appId 6": 36,
"appId 7": 38,
"appId 8": 41,
"appId 9": 42,
"name": 1,
"namespace": 2,
"pid": 14
},
"renameByName": {
"Time": "",
"Time 10": "",
"Time 11": "",
"Time 15": "",
"Value": "cpu使用率",
"Value #A": "请求数",
"Value #B": "错误数",
"Value #C": "平均耗时",
"Value #D": "请求数同比",
"Value #E": "错误数同比",
"Value #F": "耗时同比",
"Value #G": "目标实例数",
"Value #H": "cpu使用率",
"Value #I": "内存使用率",
"Value #J": "cpu总",
"Value #K": "内存总",
"Value #L": "磁盘总",
"Value #M": "磁盘使用率",
"Value #N": "接收字节",
"Value #O": "发送字节",
"Value #Q": "当前实例数",
"Value 1": "CPU使用率",
"Value 2": "内存使用率",
"appId": "应用ID",
"appId 1": "应用id",
"appId 8": "",
"name": "应用名",
"namespace": "命名空间",
"rpc": "接口",
"service": "应用名",
"{service=\"sc-gateway\"}": ""
}
}
},
{
"id": "filterByValue",
"options": {
"filters": [
{
"config": {
"id": "greater",
"options": {
"value": 0
}
},
"fieldName": "目标实例数"
}
],
"match": "any",
"type": "include"
}
},
{
"id": "sortBy",
"options": {
"fields": {},
"sort": [
{
"desc": true,
"field": "cpu使用率"
}
]
}
}
],
"type": "table"
}
],
"refresh": "10s",
"schemaVersion": 36,
"style": "dark",
"tags": [],
"templating": {
"list": []
},
"time": {
"from": "now-15m",
"to": "now"
},
"timepicker": {
"refresh_intervals": [
"10s",
"30s",
"1m",
"5m",
"15m",
"30m",
"1h",
"2h",
"1d"
]
},
"timezone": "",
"title": "SAE Application Overview",
"uid": "VH0lfu14z",
"version": 6,
"weekStart": ""
} | 2023-04-18 11:06:47 UTC | 2023-04-18 11:07:06 UTC | 0 | 0 |
18,615 | 1 | 233,073 | 28,535 | 0 | aws-billing | AWS Billing | Visualize your AWS spends and estimated AWS charges per AWS resource (EC2, ELB, ...). Monthly and daily spend can be seen. | 2023-04-27 09:59:47 UTC | 2023-04-27 14:26:56 UTC | 0 | This AWS Billing dashboard is inspired by the one created by monitoringartist. This shows a birds' eye view of the billing status and the cost associated with different components.
Cloudwatch config - http://docs.grafana.org/datasources/cloudwatch/ | 0 | 0 | Other | null | 0 | 0 | 28,535 | 1 | 18,615 | 1 | 0 | Visualize estimated AWS charges per AWS resource (EC2, S3, ...) | {
"__inputs": [],
"__elements": {},
"__requires": [
{
"type": "datasource",
"id": "cloudwatch",
"name": "CloudWatch",
"version": "1.0.0"
},
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "9.4.7"
},
{
"type": "panel",
"id": "stat",
"name": "Stat",
"version": ""
},
{
"type": "panel",
"id": "text",
"name": "Text",
"version": ""
},
{
"type": "panel",
"id": "timeseries",
"name": "Time series",
"version": ""
}
],
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"target": {
"limit": 100,
"matchAny": false,
"tags": [],
"type": "dashboard"
},
"type": "dashboard"
}
]
},
"description": "Visualize your AWS spends and estimated AWS charges per AWS resource (EC2, ELB, ...). Monthly and daily spend can be seen.",
"editable": true,
"fiscalYearStartMonth": 0,
"gnetId": 18615,
"graphTooltip": 0,
"id": null,
"links": [],
"liveNow": false,
"panels": [
{
"datasource": {
"type": "cloudwatch",
"uid": "$datasource"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-YlBl"
},
"links": [],
"mappings": [],
"min": 0,
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
},
"unit": "currencyUSD"
},
"overrides": []
},
"gridPos": {
"h": 5,
"w": 4,
"x": 0,
"y": 0
},
"hideTimeOverride": true,
"id": 1,
"links": [],
"options": {
"colorMode": "value",
"graphMode": "none",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "9.4.7",
"targets": [
{
"alias": "Total",
"application": {
"filter": ""
},
"datasource": {
"uid": "$datasource"
},
"dimensions": {
"Currency": "USD"
},
"expression": "",
"functions": [],
"group": {
"filter": ""
},
"highResolution": false,
"host": {
"filter": ""
},
"id": "",
"item": {
"filter": ""
},
"label": "Total",
"matchExact": true,
"metricEditorMode": 0,
"metricName": "EstimatedCharges",
"metricQueryType": 0,
"mode": 0,
"namespace": "AWS/Billing",
"options": {
"showDisabledItems": false
},
"period": "",
"queryMode": "Metrics",
"refId": "A",
"region": "us-east-1",
"returnData": false,
"sql": {
"select": {
"name": "AVG",
"type": "function"
}
},
"statistic": "Average"
},
{
"alias": "{{ServiceName}}",
"application": {
"filter": ""
},
"datasource": {
"uid": "$datasource"
},
"dimensions": {
"Currency": "USD",
"ServiceName": "*"
},
"expression": "",
"functions": [],
"group": {
"filter": ""
},
"hide": true,
"highResolution": false,
"host": {
"filter": ""
},
"id": "",
"item": {
"filter": ""
},
"label": "${PROP('Dim.ServiceName')}",
"matchExact": true,
"metricEditorMode": 0,
"metricName": "EstimatedCharges",
"metricQueryType": 0,
"mode": 0,
"namespace": "AWS/Billing",
"options": {
"showDisabledItems": false
},
"period": "",
"queryMode": "Metrics",
"refId": "B",
"region": "us-east-1",
"returnData": false,
"sqlExpression": "",
"statistic": "Average"
}
],
"timeFrom": "now-1M/M",
"timeShift": "1M/M",
"title": "Total Cost Last Month",
"type": "stat"
},
{
"datasource": {
"type": "cloudwatch",
"uid": "$datasource"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-YlBl"
},
"links": [],
"mappings": [],
"min": 0,
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
},
"unit": "currencyUSD"
},
"overrides": []
},
"gridPos": {
"h": 5,
"w": 4,
"x": 4,
"y": 0
},
"hideTimeOverride": true,
"id": 5,
"links": [],
"options": {
"colorMode": "value",
"graphMode": "none",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "9.4.7",
"targets": [
{
"alias": "Total",
"application": {
"filter": ""
},
"datasource": {
"uid": "$datasource"
},
"dimensions": {
"Currency": "USD"
},
"expression": "",
"functions": [],
"group": {
"filter": ""
},
"hide": false,
"highResolution": false,
"host": {
"filter": ""
},
"id": "",
"item": {
"filter": ""
},
"label": "Total",
"matchExact": true,
"metricEditorMode": 0,
"metricName": "EstimatedCharges",
"metricQueryType": 0,
"mode": 0,
"namespace": "AWS/Billing",
"options": {
"showDisabledItems": false
},
"period": "",
"queryMode": "Metrics",
"refId": "A",
"region": "us-east-1",
"returnData": false,
"sql": {
"select": {
"name": "AVG",
"type": "function"
}
},
"statistic": "Average"
},
{
"alias": "{{ServiceName}}",
"application": {
"filter": ""
},
"datasource": {
"uid": "$datasource"
},
"dimensions": {
"Currency": "USD",
"ServiceName": "AmazonEC2"
},
"expression": "",
"functions": [],
"group": {
"filter": ""
},
"hide": true,
"highResolution": false,
"host": {
"filter": ""
},
"id": "",
"item": {
"filter": ""
},
"label": "${PROP('Dim.ServiceName')}",
"matchExact": true,
"metricEditorMode": 0,
"metricName": "EstimatedCharges",
"metricQueryType": 0,
"mode": 0,
"namespace": "AWS/Billing",
"options": {
"showDisabledItems": false
},
"period": "",
"queryMode": "Metrics",
"refId": "B",
"region": "us-east-1",
"returnData": false,
"sqlExpression": "",
"statistic": "Average"
}
],
"timeFrom": "now-1M/M",
"title": "Total Cost This Month",
"type": "stat"
},
{
"datasource": {
"type": "cloudwatch",
"uid": "$datasource"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-YlRd"
},
"links": [],
"mappings": [],
"min": 0,
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
},
"unit": "currencyUSD"
},
"overrides": []
},
"gridPos": {
"h": 5,
"w": 4,
"x": 8,
"y": 0
},
"hideTimeOverride": true,
"id": 6,
"links": [],
"options": {
"colorMode": "value",
"graphMode": "none",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
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17,801 | 1 | 463,473 | 27,291 | 0 | grafana-news-tutorial | Grafana News Tutorial | A tutorial from https://grafana.com/tutorials/grafana-fundamentals-cloud/ | 2023-01-04 19:09:19 UTC | 2023-01-04 19:29:41 UTC | 0 | A dashboard created by following the tutorial from https://grafana.com/tutorials/grafana-fundamentals-cloud/ | 0 | 0 | Other | null | 0 | 0 | 27,291 | 1 | 17,801 | 1 | 0 | A tutorial from https://grafana.com/tutorials/grafana-fundamentals-cloud/ | {
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17,323 | 1 | 433,491 | 26,631 | 0 | pfsense-system-dashboard | pfSense System Dashboard | See the github link for the most up-to-date dashboard.
A Grafana dashboard built to monitor pfSense that relies on influx and Telegraf. All artifacts and instructions are maintained in github at https://github.com/VictorRobellini/pfSense-Dashboard | 2022-11-01 18:40:20 UTC | 2022-11-01 18:41:03 UTC | 0 | null | 0 | 0 | Telegraf | null | 0 | 0 | 26,631 | 1 | 17,323 | 1 | 0 | See the github link for the most up-to-date dashboard.
A Grafana dashboard built to monitor pfSense that relies on influx and Telegraf. All artifacts and instructions are maintained in github at https://github.com/VictorRobellini/pfSense-Dashboard | {
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} | 2022-11-01 18:40:20 UTC | null | 0 | 0 |
17,878 | 1 | 68,768 | 27,414 | 0 | keycloak-metrics-dashboard2 | Keycloak Metrics Dashboard New Visualizations | Dashboard of Keycloak metrics exported with Keycloak Metrics SPI
https://github.com/aerogear/keycloak-metrics-spi
Keycloak dashboard with actual visualizations
- is a copy of dashboard id 10441 | 2023-01-13 21:31:04 UTC | 2023-01-13 23:15:35 UTC | 0 | Dashboard of Keycloak metrics exported with Keycloak Metrics SPI
https://github.com/aerogear/keycloak-metrics-spi | 80,689 | 80,690 | Other | null | 0 | 0 | 27,414 | 1 | 17,878 | 1 | 0 | Dashboard of Keycloak metrics exported with Keycloak Metrics SPI
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18,497 | 1 | 832,194 | 28,373 | 0 | node-overview | Qumulo Node Overview | Node-specific OpenMetrics from your Qumulo cluster | 2023-04-11 21:19:51 UTC | 2023-04-14 22:10:40 UTC | 0 | See the state of your Qumulo cluster at a glance. This dashboard includes all node-specific metrics from the Qumulo OpenMetrics REST API. Compatible with Qumulo version 6.0.2+
For a complete, easily deployable package which includes both Grafana dashboards backed by a Prometheus time-series database, visit our Github: [https://github.com/Qumulo/qumulo-monitoring-dashboard](https://github.com/Qumulo/qumulo-monitoring-dashboard) | 83,389 | 83,390 | null | null | 0 | 0 | 28,373 | 1 | 18,497 | 1 | 0 | null | {
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} | 2023-04-11 21:19:51 UTC | 2023-04-11 21:25:32 UTC | 0 | 0 |
17,360 | 1 | 512,593 | 26,673 | 0 | spring-http-example | Spring HTTP Example | An example dashboard for Spring HTTP metrics | 2022-11-06 11:26:47 UTC | 2022-11-06 11:34:27 UTC | 0 | A basic dashboard for Spring Boot HTTP metrics. This project on [Github](https://github.com/anemyte/spring-http-dashboard). | 0 | 0 | null | null | 0 | 0 | 26,673 | 1 | 17,360 | 1 | 0 | null | {
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} | 2022-11-06 11:26:47 UTC | 2022-11-06 11:34:26 UTC | 0 | 0 |
17,518 | 1 | 592,198 | 26,902 | 0 | telemetria | Telemetria Dash | Telemetria Dash | 2022-11-30 19:12:34 UTC | 2022-11-30 19:12:56 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 26,902 | 1 | 17,518 | 1 | 0 | null | {
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"liveNow": false,
"panels": [
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 0
},
"id": 17,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"query": "from(bucket:\"devices\")\n|> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n|> filter(fn: (r) => r._measurement == \"10c325\" and r._field == \"dojot.temperatura\")\n|> toFloat()",
"refId": "A"
}
],
"title": "Dispositivo ID = 10c325",
"type": "timeseries"
},
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"description": "",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 0
},
"id": 35,
"options": {
"code": {
"language": "plaintext",
"showLineNumbers": false,
"showMiniMap": false
},
"content": "# Linha com 1 atributo para 1 dispositivo sem uso de variáveis\n\nGráfico simples que exibe o atributo temperatura do dispositivo \"10c325\" ao longo do tempo.\nO range utilizado na query \"aponta\" para o combo de período que está no menu, no topo, onde é possível escolher diversos períodos. Esse range, por sua vez, também é parametrizável, podendo aceitar muitos valores, e não apenas os valores contidos no referido combo.\nA função \"toFloat()\" no final da query é necessária para converter o valor da temperatura de string para float, pois, hoje na Dojot, todos os dados são gravados como string (apesar de recentemente ter sido implementada uma configuração para isso na Dojot, permitindo a gravação e recuperação dos dados do InfluxDB pelos tipos originais).",
"mode": "markdown"
},
"pluginVersion": "9.2.1",
"targets": [
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"refId": "A"
}
],
"title": "Painel 1",
"type": "text"
},
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 3,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "Temperatura"
},
"properties": [
{
"id": "custom.axisPlacement",
"value": "left"
},
{
"id": "unit",
"value": "celsius"
}
]
},
{
"matcher": {
"id": "byName",
"options": "Umidade"
},
"properties": [
{
"id": "custom.axisPlacement",
"value": "right"
},
{
"id": "unit",
"value": "humidity"
}
]
}
]
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 8
},
"id": 18,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"pluginVersion": "2.1.0",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"query": "from(bucket:\"devices\")\n|> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n|> filter(fn: (r) => r._measurement == \"10c325\" and r._field == \"dojot.temperatura\")\n|> map(fn: (r) => ({r with Temperatura: float(v: r._value)}))\n|> keep(columns: [\"Temperatura\", \"_time\"])",
"refId": "A"
},
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"hide": false,
"query": "from(bucket:\"devices\")\n|> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n|> filter(fn: (r) => r._measurement == \"10c325\" and r._field == \"dojot.umidade\")\n|> map(fn: (r) => ({r with Umidade: float(v: r._value)}))\n|> keep(columns: [\"Umidade\", \"_time\"])",
"refId": "C"
}
],
"title": "Dispositivo ID = 10c325",
"type": "timeseries"
},
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"description": "",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 8
},
"id": 36,
"options": {
"code": {
"language": "plaintext",
"showLineNumbers": false,
"showMiniMap": false
},
"content": "# Linha com 2 atributos para 1 dispositivo sem uso de variáveis\n\nNesse painel foram usadas duas queries, sendo que cada query consulta um atributo diferente do mesmo dispositivo. Nas queries foi possível definir também os nomes \"Temperatura\" e \"Umidade\" (através das funções map() e keep()) para os atributos consultados, para que sejam exibidos de maneira mais legível no gráfico.\nNas configurações do Grafana no lado direito foi possível definir para cada atributo a posição que cada um seria exibido no gráfico e também a unidade de medida. Para isso foi utilizada a opção \"Add field override\", que é a última opção do lado direito. Após clicar nela, foi selecionada a opção \"Fields with name\" -> \"Add override property\" -> \"Axis > Placement\" para configurar a posição e \"Standard options > Unit\" para as unidades de medida.",
"mode": "markdown"
},
"pluginVersion": "9.2.1",
"targets": [
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"refId": "A"
}
],
"title": "Painel 2",
"type": "text"
},
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 16
},
"id": 20,
"options": {
"colorMode": "value",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "9.2.1",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"query": "from(bucket:\"devices\")\n|> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n|> filter(fn: (r) => r._measurement == \"10c325\" and r._field == \"dojot.temperatura\")\n|> toFloat()\n|> mean()",
"refId": "A"
}
],
"title": "Temperatura média dispositivo ID = 10c325",
"type": "stat"
},
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"description": "",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 16
},
"id": 37,
"options": {
"code": {
"language": "plaintext",
"showLineNumbers": false,
"showMiniMap": false
},
"content": "# \"Label\" com 1 atributo para 1 dispositivo sem uso de variáveis com função de agregação (média, máx, mín)\n\nNesse painel, obtemos o valor médio de temperatura através da função \"mean()\" na query. O período escolhido para obter essa média pode ser alterado no combo já citado num painel anterior. Já o valor médio pode ser obtido também através das configurações do Grafana, no lado direito, na opção \"Value options --> Calculation --> Mean\".",
"mode": "markdown"
},
"pluginVersion": "9.2.1",
"targets": [
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"refId": "A"
}
],
"title": "Painel 3",
"type": "text"
},
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 24
},
"id": 21,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "single"
}
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"query": "from(bucket:\"devices\")\n|> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n|> filter(fn: (r) => r._measurement == \"10c325\" and r._field == \"dojot.temperatura\")\n|> map(fn: (r) => ({r with Temperatura: float(v: r._value)}))\n|> keep(columns: [\"Temperatura\", \"_time\"])\n|> limit(n: ${limitVar})",
"refId": "A"
}
],
"title": "Dispositivo ID = 10c325",
"type": "timeseries"
},
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"description": "",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 24
},
"id": 38,
"options": {
"content": "# Linha com 1 atributo para 1 dispositivo limitando a quantidade de pontos por variável\n\nNesse painel, estamos limitando a quantidade de itens consultados na query através da função \"limit\" e com a variável \"limitVar\" que pode ser carregada através do combo \"Limite\" lá no topo.",
"mode": "markdown"
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"refId": "A"
}
],
"title": "Painel 4",
"type": "text"
},
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 32
},
"id": 22,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "single"
}
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"query": "from(bucket:\"devices\")\n|> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n|> filter(fn: (r) => r._measurement == \"${deviceId}\" and r._field == \"dojot.temperatura\")\n|> map(fn: (r) => ({r with Temperatura: float(v: r._value)}))\n|> keep(columns: [\"Temperatura\", \"_time\"])",
"refId": "A"
}
],
"title": "Dispositivo ${device}",
"type": "timeseries"
},
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"description": "",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 32
},
"id": 39,
"options": {
"content": "# Linha com 1 atributo para 1 dispositivo variável\n\nNesse painel, o nome do dispositivo que está no título é obtido através de uma variável que é carregada através da seleção do combo \"Nome do dispositivo\", no topo, no canto esquerdo, pelo usuário. Nesse combo o usuário pode selecionar apenas um dispositivo de cada vez. Já na query que é executada na linguagem Flux, é utilizado o ID do dispositivo (também com uma variável) ao invés do nome, mesmo sem o usuário ter escolhido explicitamente um ID. Isso ocorre pois ao selecionar um nome de dispositivo no combo, uma nova consulta ao banco de dados é feita para obter o ID, atribuindo na variável de forma transparente ao usuário. Isso também só foi possível devido ao nome do dispositivo ser único no banco de dados, não sendo possível existir 2 nomes de dispositivos iguais.",
"mode": "markdown"
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"refId": "A"
}
],
"title": "Painel 5",
"type": "text"
},
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 40
},
"id": 23,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "single"
}
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"query": "from(bucket:\"devices\")\n|> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n|> filter(fn: (r) => r._measurement == \"${deviceId}\" and r._field == \"dojot.${field}\")\n|> map(fn: (r) => ({r with Temperatura: float(v: r._value)}))\n|> keep(columns: [\"Temperatura\", \"_time\"])",
"refId": "A"
}
],
"title": "Dispositivo ID = 10c325",
"type": "timeseries"
},
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"description": "",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 40
},
"id": 40,
"options": {
"content": "# Linha com 1 atributo variável para 1 dispositivo\n\nNesse painel, a query também está usando variável, só que desta vez no atributo. A variável \"field\" é carregada com a seleção do combo \"Atributo\".",
"mode": "markdown"
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"refId": "A"
}
],
"title": "Painel 6",
"type": "text"
},
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 3,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "10c325"
},
"properties": [
{
"id": "unit",
"value": "celsius"
}
]
},
{
"matcher": {
"id": "byName",
"options": "9eac60"
},
"properties": [
{
"id": "unit",
"value": "celsius"
}
]
}
]
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 48
},
"id": 15,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "single"
}
},
"pluginVersion": "2.1.0",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"query": "from(bucket:\"devices\")\n|> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n|> filter(fn: (r) => contains(value: r[\"_measurement\"], set: ${devicesIds:json}))\n|> filter(fn: (r) => r[\"_field\"] == \"dojot.${field}\")\n|> toFloat()\n|> drop(columns: [\"_field\"])",
"refId": "A"
}
],
"title": "Temperatura nos dispositivos: ${devices}",
"type": "timeseries"
},
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"description": "",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 48
},
"id": 41,
"options": {
"content": "# Linha com 1 atributo para 2 dispositivos variáveis\n\nNesse painel, a query utiliza uma variável que contém uma lista de IDs que é carregada através da seleção do combo \"Dispositivos\". Nesse combo é possível selecionar mais de um dispositivo de uma vez. Assim como num painel anterior, aqui também usa-se o nome dos dispositivos no combo, porém, usa-se os IDs na query. Nesse painel selecionamos 2 dispositivos na lista, mas é possível inserir mais, sendo recomendado, nesse caso, atualizar a configuração \"override\", já explicada anteriormente, para que os novos dispositivos exibam a unidade de medida correta. Na query utilizamos a função drop() para ocultar o nome do atributo no gráfico, deixando apenas o ID do dispositivo.",
"mode": "markdown"
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"refId": "A"
}
],
"title": "Painel 7",
"type": "text"
},
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "area"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
}
]
},
"unit": "short"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "Temperatura"
},
"properties": [
{
"id": "thresholds",
"value": {
"mode": "absolute",
"steps": [
{
"color": "blue"
},
{
"color": "#EAB839",
"value": 20
},
{
"color": "red",
"value": 30
}
]
}
},
{
"id": "unit",
"value": "celsius"
}
]
}
]
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 56
},
"id": 28,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "single"
}
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"query": "from(bucket:\"devices\")\n|> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n|> filter(fn: (r) => r._measurement == \"${deviceId}\" and r._field == \"dojot.${field}\")\n|> map(fn: (r) => ({r with Temperatura: float(v: r._value)}))\n|> keep(columns: [\"Temperatura\", \"_time\"])",
"refId": "A"
}
],
"title": "Device ${device}",
"type": "timeseries"
},
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"description": "",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 56
},
"id": 42,
"options": {
"content": "# Linha/área com 1 atributo para 1 dispositivo com uso de limites\n\nPainel parecido com outros anteriores, mas com o uso de cores no gráfico conforme os valores dos atributos. Essa configuração do Grafana é feita no lado direito, na opção \"Add field override\", que é a última opção do lado direito. Após clicar nela, foi selecionada a opção \"Fields with name\" -> \"Add override property\" -> \"Thresholds\".",
"mode": "markdown"
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"refId": "A"
}
],
"title": "Painel 8",
"type": "text"
},
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
}
]
}
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "Temperatura"
},
"properties": [
{
"id": "unit",
"value": "celsius"
},
{
"id": "thresholds",
"value": {
"mode": "absolute",
"steps": [
{
"color": "blue"
},
{
"color": "#EAB839",
"value": 20
},
{
"color": "red",
"value": 30
}
]
}
}
]
}
]
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 64
},
"id": 29,
"options": {
"colorMode": "value",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"query": "from(bucket:\"devices\")\n|> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n|> filter(fn: (r) => r._measurement == \"${deviceId}\" and r._field == \"dojot.${field}\")\n|> map(fn: (r) => ({r with Temperatura: float(v: r._value)}))\n|> keep(columns: [\"Temperatura\", \"_time\"])",
"refId": "A"
}
],
"title": "Device ${device}",
"type": "stat"
},
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"description": "",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 64
},
"id": 43,
"options": {
"content": "# \"Label\" com último valor de 1 atributo para 1 dispositivo, contendo os últimos pontos na base do gráfico\n\nNesse painel estamos usando a opção \"Stat\" lá em cima, à direita, nas configurações do Grafana, no tipo de gráfico, e em \"Value options\" -> \"Calculation\" selecionamos \"Last\" para que seja exibido o valor mais atual de temperatura. Embaixo do valor que é exibido no painel, é exibido uma gráfico no estilo time-series com um \"resumo\" das temperaturas obtidas no período escolhido.",
"mode": "markdown"
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"refId": "A"
}
],
"title": "Painel 9",
"type": "text"
},
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 72
},
"id": 30,
"options": {
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"showThresholdLabels": false,
"showThresholdMarkers": true
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"query": "from(bucket:\"devices\")\n|> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n|> filter(fn: (r) => r._measurement == \"${deviceId}\" and r._field == \"dojot.${field}\")\n|> map(fn: (r) => ({r with Temperatura: float(v: r._value)}))\n|> keep(columns: [\"Temperatura\", \"_time\"])",
"refId": "A"
}
],
"title": "Device ${device}",
"type": "gauge"
},
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"description": "",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 72
},
"id": 44,
"options": {
"content": "# \"Gauge\" com último valor de 1 atributo para 1 dispositivo\n\nNesse painel estamos usando a opção \"Gauge\" lá em cima, à direita, nas configurações do Grafana, no tipo de gráfico, e em \"Value options\" -> \"Calculation\" selecionamos \"Last\" para que seja exibido o valor mais atual de temperatura. Esse gauge está utilizando a configuração default nos valores limite, ou seja, os valores mínimo e máximo que serão considerados no gauge são o menor e o maior valor contidos na lista retornada pela consulta.",
"mode": "markdown"
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"refId": "A"
}
],
"title": "Painel 10",
"type": "text"
},
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [],
"max": 40,
"min": 0,
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "blue"
},
{
"color": "#EAB839",
"value": 20
},
{
"color": "red",
"value": 30
}
]
},
"unit": "celsius"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 80
},
"id": 31,
"options": {
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"showThresholdLabels": false,
"showThresholdMarkers": true
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"query": "from(bucket:\"devices\")\n|> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n|> filter(fn: (r) => r._measurement == \"${deviceId}\" and r._field == \"dojot.${field}\")\n|> map(fn: (r) => ({r with Temperatura: float(v: r._value)}))\n|> keep(columns: [\"Temperatura\", \"_time\"])",
"refId": "A"
}
],
"title": "Device ${device}",
"type": "gauge"
},
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"description": "",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 80
},
"id": 45,
"options": {
"content": "# \"Gauge\" com último valor de 1 atributo para 1 dispositivo com uso de limites\n\nParecido com o painel anterior, porém, ao invés de valores default nos limites, estamos configurando os limites na parte de configurações do Grafana no lado direito, em \"Standard options\", valor mínimo = 0 e valor máximo = 40. Utilizamos também thresholds para exibir os valores por cores.",
"mode": "markdown"
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"refId": "A"
}
],
"title": "Painel 11",
"type": "text"
},
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 88
},
"id": 33,
"options": {
"basemap": {
"config": {},
"name": "Layer 0",
"type": "osm-standard"
},
"controls": {
"mouseWheelZoom": true,
"showAttribution": true,
"showDebug": false,
"showScale": false,
"showZoom": true
},
"layers": [
{
"config": {
"showLegend": true,
"style": {
"color": {
"fixed": "dark-green"
},
"opacity": 0.4,
"rotation": {
"fixed": 0,
"max": 360,
"min": -360,
"mode": "mod"
},
"size": {
"fixed": 5,
"max": 15,
"min": 2
},
"symbol": {
"fixed": "img/icons/marker/circle.svg",
"mode": "fixed"
},
"textConfig": {
"fontSize": 12,
"offsetX": 0,
"offsetY": 0,
"textAlign": "center",
"textBaseline": "middle"
}
}
},
"location": {
"latitude": "dojot.latitude",
"longitude": "dojot.longitude",
"mode": "coords"
},
"name": "Layer 1",
"type": "markers"
}
],
"view": {
"id": "coords",
"lat": -22.907104,
"lon": -47.06324,
"zoom": 5
}
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"query": "from(bucket:\"devices\")\n|> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n|> filter(fn: (r) => r._measurement == \"${deviceId}\")\n|> filter(fn: (r) => r._field == \"dojot.latitude\" or r._field == \"dojot.longitude\")\n|> toFloat()\n|> pivot(rowKey:[\"_time\"], columnKey: [\"_field\"], valueColumn: \"_value\")\n|> drop(columns: [\"_start\", \"_stop\", \"_time\"])",
"refId": "A"
}
],
"title": "Localização dispositivo ${device}",
"type": "geomap"
},
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"description": "",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 88
},
"id": 46,
"options": {
"content": "# Mapa para exibir posição de latitude e longitude\n\nNesse painel estamos exibindo a localização de um dispositivo no mapa, através da latitude e longitude (que devem ser do tipo float). A query precisa usar a função pivot() para que essa exibição no mapa funcione, pois essa função coloca os atributos latitude e longitude numa linha só (já que originalmente esses atributos estão em linhas diferentes no InfluxDB, na coluna \"_field\"), e o Geomap precisa desses atributos \"alinhados\". Já a função drop() está ocultando alguns dados desnecessários e deixando só latitude e longitude para serem exibidos no mapa, ao passar o mouse sobre o ponto da localização. Na parte de configurações, selecionamos os nomes dos atributos de latitude e longitude em \"Data Layer\" -> \"Location\" -> \"Coords\".",
"mode": "markdown"
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"refId": "A"
}
],
"title": "Painel 12",
"type": "text"
}
],
"refresh": "",
"schemaVersion": 37,
"style": "dark",
"tags": [],
"templating": {
"list": [
{
"current": {},
"datasource": {
"type": "influxdb",
"uid": "influxdb"
},
"definition": "import \"influxdata/influxdb/v1\"\nv1.measurements(bucket: v.bucket)",
"hide": 2,
"includeAll": false,
"label": "Device ID",
"multi": false,
"name": "deviceIds",
"options": [],
"query": "import \"influxdata/influxdb/v1\"\nv1.measurements(bucket: v.bucket)",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
},
{
"current": {},
"datasource": {
"type": "postgres",
"uid": "postgres"
},
"definition": "select label from admin.devices",
"hide": 0,
"includeAll": false,
"label": "Nome do dispositivo",
"multi": false,
"name": "device",
"options": [],
"query": "select label from admin.devices",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
},
{
"current": {},
"datasource": {
"type": "postgres",
"uid": "postgres"
},
"definition": "select label from admin.attrs",
"description": "",
"hide": 0,
"includeAll": false,
"label": "Atributo",
"multi": false,
"name": "field",
"options": [],
"query": "select label from admin.attrs",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
},
{
"current": {},
"datasource": {
"type": "postgres",
"uid": "postgres"
},
"definition": "select id from admin.devices where label = '${device}'",
"hide": 2,
"includeAll": false,
"multi": false,
"name": "deviceId",
"options": [],
"query": "select id from admin.devices where label = '${device}'",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
},
{
"current": {},
"datasource": {
"type": "postgres",
"uid": "postgres"
},
"definition": "select 'dojot.' || label from admin.attrs",
"hide": 2,
"includeAll": false,
"multi": true,
"name": "fields",
"options": [],
"query": "select 'dojot.' || label from admin.attrs",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
},
{
"current": {},
"datasource": {
"type": "postgres",
"uid": "postgres"
},
"definition": "select label from admin.devices",
"hide": 0,
"includeAll": false,
"label": "Dispositivos",
"multi": true,
"name": "devices",
"options": [],
"query": "select label from admin.devices",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
},
{
"current": {},
"datasource": {
"type": "postgres",
"uid": "postgres"
},
"definition": "select id from admin.devices where label in (${devices})",
"hide": 2,
"includeAll": true,
"multi": true,
"name": "devicesIds",
"options": [],
"query": "select id from admin.devices where label in (${devices})",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
},
{
"current": {
"selected": true,
"text": "100",
"value": "100"
},
"hide": 0,
"includeAll": false,
"label": "Limite",
"multi": false,
"name": "limitVar",
"options": [
{
"selected": false,
"text": "1",
"value": "1"
},
{
"selected": false,
"text": "5",
"value": "5"
},
{
"selected": false,
"text": "10",
"value": "10"
},
{
"selected": false,
"text": "15",
"value": "15"
},
{
"selected": false,
"text": "20",
"value": "20"
},
{
"selected": false,
"text": "50",
"value": "50"
},
{
"selected": true,
"text": "100",
"value": "100"
}
],
"query": "1,5,10,15,20,50,100",
"queryValue": "",
"skipUrlSync": false,
"type": "custom"
}
]
},
"time": {
"from": "now-30m",
"to": "now"
},
"timepicker": {},
"timezone": "",
"title": "Telemetria Dash",
"uid": "-6fKkWVVz1",
"version": 1,
"weekStart": "",
"gnetId": 17518,
"description": "Telemetria Dash"
} | 2022-11-30 19:12:34 UTC | 2022-11-30 19:12:56 UTC | 0 | 0 |
17,839 | 1 | 770,636 | 27,358 | 0 | venturenox-kubernetes-monitoring | Venturenox Kubernetes Monitoring | This dashboard provide following kubernetes metrics:
-Node metrics
-Autoscaling metrics
-Pods metrics
-Jobs metrics
-Resource Utilization | 2023-01-09 13:05:40 UTC | 2023-01-09 13:08:09 UTC | 0 | null | 80,493 | 80,494 | null | null | 0 | 0 | 27,358 | 1 | 17,839 | 1 | 0 | null | {
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"label": "prometheus",
"description": "",
"type": "datasource",
"pluginId": "prometheus",
"pluginName": "Prometheus"
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],
"__requires": [
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"type": "panel",
"id": "gauge",
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},
{
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"annotations": {
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},
"enable": true,
"hide": true,
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"target": {
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},
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}
]
},
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 0,
"id": 41,
"links": [],
"liveNow": false,
"panels": [
{
"collapsed": true,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 0
},
"id": 69,
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"editorMode": "code",
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}
],
"title": "Total Nodes",
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},
{
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"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
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"targets": [
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"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "sum(cluster_autoscaler_nodes_count{state=\"ready\"})/sum(cluster_autoscaler_nodes_count)*100",
"range": true,
"refId": "A"
}
],
"title": "Nodes Available",
"type": "gauge"
},
{
"datasource": {
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"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
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"steps": [
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"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 4,
"w": 4,
"x": 8,
"y": 1
},
"id": 35,
"options": {
"colorMode": "value",
"graphMode": "none",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
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},
"editorMode": "code",
"expr": "sum(cluster_autoscaler_nodes_count{state=\"unready\"})",
"range": true,
"refId": "A"
}
],
"title": "Nodes Unavailable",
"type": "stat"
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} | 2023-03-09 09:02:37 UTC | null | 0 | 0 |
18,352 | 1 | 595,198 | 28,171 | 0 | pv-anlage | PV Dashboard | PV Dashboard for Huawei Sun2000 Inverter | 2023-03-23 20:35:24 UTC | 2023-03-23 20:52:47 UTC | 0 | PV Dashboard for Huawei Sun2000 Inverter | 82,749 | 82,750 | Other | null | 0 | 0 | 28,171 | 1 | 18,352 | 1 | 0 | null | {
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} | 2023-03-23 20:35:24 UTC | 2023-03-23 20:41:49 UTC | 0 | 0 |
18,694 | 1 | 851,472 | 28,676 | 0 | erlang-memory-allocators | Erlang-Memory-Allocators | Erlang VM memory utilisation from erts_alloc perspective | 2023-05-08 12:45:42 UTC | 2023-05-08 12:46:18 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 28,676 | 1 | 18,694 | 1 | 0 | Erlang VM memory utilisation from erts_alloc perspective | {
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"legendFormat": "Multiblock Pool - Unused",
"refId": "D"
},
{
"expr": "sum (erlang_vm_allocators{alloc=~\"$memory_allocator\", usage=\"blocks_size\", kind=\"sbcs\"} * on(instance) group_left(rabbitmq_cluster, rabbitmq_node) rabbitmq_identity_info{rabbitmq_cluster=\"$rabbitmq_cluster\", namespace=\"$namespace\", rabbitmq_node=\"$rabbitmq_node\"})",
"legendFormat": "Singleblock - Used",
"refId": "E"
},
{
"expr": "sum (erlang_vm_allocators{alloc=~\"$memory_allocator\", usage=\"carriers_size\", kind=\"sbcs\"} * on(instance) group_left(rabbitmq_cluster, rabbitmq_node) rabbitmq_identity_info{rabbitmq_cluster=\"$rabbitmq_cluster\", namespace=\"$namespace\", rabbitmq_node=\"$rabbitmq_node\"})\n-\nsum (erlang_vm_allocators{alloc=~\"$memory_allocator\", usage=\"blocks_size\", kind=\"sbcs\"} * on(instance) group_left(rabbitmq_cluster, rabbitmq_node) rabbitmq_identity_info{rabbitmq_cluster=\"$rabbitmq_cluster\", namespace=\"$namespace\", rabbitmq_node=\"$rabbitmq_node\"})",
"legendFormat": "Singleblock - Unused",
"refId": "F"
}
],
"timeFrom": null,
"timeShift": null,
"title": "$memory_allocator - Usage",
"transform": "timeseries_aggregations",
"type": "table"
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_PROMETHEUS}",
"fill": 0,
"fillGradient": 0,
"gridPos": {
"h": 7,
"w": 16,
"x": 8,
"y": 25
},
"hiddenSeries": false,
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},
"lines": true,
"linewidth": 1,
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"nullPointMode": "null",
"options": {
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},
"percentage": false,
"pointradius": 0.5,
"points": false,
"renderer": "flot",
"seriesOverrides": [
{
"alias": "Multiblock - Used",
"color": "#1F60C4"
},
{
"alias": "Multiblock - Unused",
"color": "#8AB8FF"
},
{
"alias": "Multiblock Pool - Used",
"color": "#8F3BB8"
},
{
"alias": "Multiblock Pool - Unused",
"color": "#CA95E5"
},
{
"alias": "Singleblock - Used",
"color": "#FA6400"
},
{
"alias": "Singleblock - Unused",
"color": "#FFB357"
}
],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
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"format": "time_series",
"intervalFactor": 1,
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"refId": "A"
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{
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},
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}
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"timeRegions": [],
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"title": "$memory_allocator - Usage",
"tooltip": {
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},
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],
"yaxis": {
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},
{
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"value": "min"
},
{
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"value": "max"
},
{
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"value": "avg"
},
{
"text": "Current",
"value": "current"
}
],
"datasource": "${DS_PROMETHEUS}",
"description": "",
"fontSize": "100%",
"gridPos": {
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"w": 8,
"x": 0,
"y": 32
},
"id": 232,
"options": {},
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"pluginVersion": "6.4.1",
"scroll": true,
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"colorMode": null,
"colors": [
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"decimals": 0,
"mappingType": 1,
"pattern": "Metric",
"thresholds": [],
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},
{
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"colors": [
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"dateFormat": "YYYY-MM-DD HH:mm:ss",
"decimals": 1,
"mappingType": 1,
"pattern": "/.*/",
"thresholds": [],
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"unit": "decbytes"
}
],
"targets": [
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"legendFormat": "Multiblock - Carrier",
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},
{
"expr": "sum (erlang_vm_allocators{kind=\"mbcs\", alloc=\"$memory_allocator\", usage=\"blocks_size\"} * on(instance) group_left(rabbitmq_cluster, rabbitmq_node) rabbitmq_identity_info{rabbitmq_cluster=\"$rabbitmq_cluster\", namespace=\"$namespace\", rabbitmq_node=\"$rabbitmq_node\"})\n/\nsum (erlang_vm_allocators{kind=\"mbcs\", alloc=\"$memory_allocator\", usage=\"blocks\"} * on(instance) group_left(rabbitmq_cluster, rabbitmq_node) rabbitmq_identity_info{rabbitmq_cluster=\"$rabbitmq_cluster\", namespace=\"$namespace\", rabbitmq_node=\"$rabbitmq_node\"})",
"legendFormat": "Multiblock - Block",
"refId": "B"
},
{
"expr": "sum (erlang_vm_allocators{kind=\"mbcs_pool\", alloc=\"$memory_allocator\", usage=\"carriers_size\"} * on(instance) group_left(rabbitmq_cluster, rabbitmq_node) rabbitmq_identity_info{rabbitmq_cluster=\"$rabbitmq_cluster\", namespace=\"$namespace\", rabbitmq_node=\"$rabbitmq_node\"})\n/\nsum (erlang_vm_allocators{kind=\"mbcs_pool\", alloc=\"$memory_allocator\", usage=\"carriers\"} * on(instance) group_left(rabbitmq_cluster, rabbitmq_node) rabbitmq_identity_info{rabbitmq_cluster=\"$rabbitmq_cluster\", namespace=\"$namespace\", rabbitmq_node=\"$rabbitmq_node\"})",
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{
"expr": "sum (erlang_vm_allocators{kind=\"mbcs_pool\", alloc=\"$memory_allocator\", usage=\"blocks_size\"} * on(instance) group_left(rabbitmq_cluster, rabbitmq_node) rabbitmq_identity_info{rabbitmq_cluster=\"$rabbitmq_cluster\", namespace=\"$namespace\", rabbitmq_node=\"$rabbitmq_node\"})\n/\nsum (erlang_vm_allocators{kind=\"mbcs_pool\", alloc=\"$memory_allocator\", usage=\"blocks\"} * on(instance) group_left(rabbitmq_cluster, rabbitmq_node) rabbitmq_identity_info{rabbitmq_cluster=\"$rabbitmq_cluster\", namespace=\"$namespace\", rabbitmq_node=\"$rabbitmq_node\"})",
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"refId": "D"
},
{
"expr": "sum (erlang_vm_allocators{kind=\"sbcs\", alloc=\"$memory_allocator\", usage=\"carriers_size\"} * on(instance) group_left(rabbitmq_cluster, rabbitmq_node) rabbitmq_identity_info{rabbitmq_cluster=\"$rabbitmq_cluster\", namespace=\"$namespace\", rabbitmq_node=\"$rabbitmq_node\"})\n/\nsum (erlang_vm_allocators{kind=\"sbcs\", alloc=\"$memory_allocator\", usage=\"carriers\"} * on(instance) group_left(rabbitmq_cluster, rabbitmq_node) rabbitmq_identity_info{rabbitmq_cluster=\"$rabbitmq_cluster\", namespace=\"$namespace\", rabbitmq_node=\"$rabbitmq_node\"})",
"legendFormat": "Singleblock - Carrier",
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},
{
"expr": "sum (erlang_vm_allocators{kind=\"sbcs\", alloc=\"$memory_allocator\", usage=\"blocks_size\"} * on(instance) group_left(rabbitmq_cluster, rabbitmq_node) rabbitmq_identity_info{rabbitmq_cluster=\"$rabbitmq_cluster\", namespace=\"$namespace\", rabbitmq_node=\"$rabbitmq_node\"})\n/\nsum (erlang_vm_allocators{kind=\"sbcs\", alloc=\"$memory_allocator\", usage=\"blocks\"} * on(instance) group_left(rabbitmq_cluster, rabbitmq_node) rabbitmq_identity_info{rabbitmq_cluster=\"$rabbitmq_cluster\", namespace=\"$namespace\", rabbitmq_node=\"$rabbitmq_node\"})",
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}
],
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"title": "$memory_allocator - Average Size",
"transform": "timeseries_aggregations",
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},
{
"aliasColors": {},
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"w": 16,
"x": 8,
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},
"hiddenSeries": false,
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},
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},
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"pointradius": 0.5,
"points": false,
"renderer": "flot",
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"color": "#1F60C4"
},
{
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},
{
"alias": "Multiblock Pool - Block",
"color": "#8F3BB8"
},
{
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"color": "#CA95E5"
},
{
"alias": "Singleblock - Block",
"color": "#FA6400"
},
{
"alias": "Singleblock - Carrier",
"color": "#FFB357"
}
],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
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},
{
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},
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{
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],
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}
],
"refresh": "15s",
"schemaVersion": 22,
"style": "dark",
"tags": [
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],
"templating": {
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{
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"text": "default",
"value": "default"
},
"hide": 2,
"includeAll": false,
"label": "datasource",
"multi": false,
"name": "DS_PROMETHEUS",
"options": [],
"query": "prometheus",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"type": "datasource",
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},
{
"allValue": null,
"current": {},
"datasource": "${DS_PROMETHEUS}",
"definition": "label_values(rabbitmq_identity_info, namespace)",
"hide": 0,
"includeAll": false,
"label": "Namespace",
"multi": false,
"name": "namespace",
"options": [],
"query": "label_values(rabbitmq_identity_info, namespace)",
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},
{
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"current": {},
"datasource": "${DS_PROMETHEUS}",
"definition": "label_values(rabbitmq_identity_info{namespace=\"$namespace\"}, rabbitmq_cluster)",
"hide": 0,
"includeAll": false,
"label": "RabbitMQ Cluster",
"multi": false,
"name": "rabbitmq_cluster",
"options": [],
"query": "label_values(rabbitmq_identity_info{namespace=\"$namespace\"}, rabbitmq_cluster)",
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},
{
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"current": {},
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"definition": "label_values(erlang_vm_allocators, alloc)",
"hide": 0,
"includeAll": true,
"label": "Erlang Memory Allocator",
"multi": true,
"name": "memory_allocator",
"options": [],
"query": "label_values(erlang_vm_allocators, alloc)",
"refresh": 1,
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"skipUrlSync": false,
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"tagValuesQuery": "",
"tags": [],
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"type": "query",
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}
]
},
"time": {
"from": "now-15m",
"to": "now"
},
"timepicker": {
"refresh_intervals": [
"15s",
"30s",
"1m",
"5m",
"10m"
],
"time_options": [
"5m",
"15m",
"1h",
"6h",
"12h",
"24h",
"2d",
"7d",
"30d"
]
},
"timezone": "",
"title": "Erlang-Memory-Allocators",
"uid": "o_rtdpWik",
"version": 20210118,
"__inputs": [
{
"name": "DS_PROMETHEUS",
"label": "prometheus",
"description": "",
"type": "datasource",
"pluginId": "prometheus",
"pluginName": "Prometheus"
}
]
} | 2023-05-08 12:45:42 UTC | null | 0 | 0 |
17,444 | 1 | 747,296 | 26,796 | 0 | jmeter-report-influxdb2-0 | JMeter x InfluxDB2.0 | This dashboard to present Jmeter result | 2022-11-20 16:37:37 UTC | 2022-11-21 08:16:14 UTC | 0 | # Info
This dashboard i'm try to modification from someone uploaded on [grafana dashboards](https://grafana.com/grafana/dashboards/)
and i'll try to improve the chart and up to date for the future
# How to setup
Jmeter version 5.5 or higher
InfluxDB version 2.x or higher
Plugin Jmeter -> jmeter-plugins-influxdb2-listener-2.x.jar and then put in jmeter's folder -> lib/ext
For detail please visit [noviantonugroho4 github](https://github.com/noviantonugroho4/jmeter-influxdb2-grafana) | 78,799 | 78,800 | Other | null | 0 | 0 | 26,796 | 1 | 17,444 | 1 | 0 | This dashboard to present Jmeter result | {
"__inputs": [
{
"name": "DS_INFLUXDB",
"label": "InfluxDB",
"description": "InfluxDB 2.x or higher",
"type": "datasource",
"pluginId": "influxdb",
"pluginName": "InfluxDB"
}
],
"__elements": {
"NKdhkbj7k": {
"name": "Processing Time = Latency - Connect Time ",
"uid": "NKdhkbj7k",
"kind": 1,
"model": {
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
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"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 10,
"gradientMode": "none",
"hideFrom": {
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"tooltip": false,
"viz": false
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{
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"value"
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{
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],
"title": "General Metrics",
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},
{
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"99%": 7,
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"ErrorRate": 11,
"Max": 3,
"Median": 4,
"TPH": 10,
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"requestName": 0
},
"renameByName": {}
}
}
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},
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"query": "from(bucket: \"jmeter\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] == \"requestsRaw\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"responseTime\")\r\n |> filter(fn: (r) => r[\"runId\"] =~ /${runId:regex}/)\r\n |> filter(fn: (r) => r[\"samplerType\"] =~ /${samplerType:regex}/)\r\n |> group(columns: [\"requestName\"])\r\n |> toFloat()\r\n |> quantile(q: 0.90)\r\n |> group(columns: [\"requestName\"])\r\n |> keep(columns: [ \"_value\", \"requestName\"])\r\n |> rename(columns: {_value: \"request\"})\r\n\r\n",
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"query": "from(bucket: \"jmeter\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] == \"requestsRaw\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"responseTime\")\r\n |> filter(fn: (r) => r[\"runId\"] =~ /${runId:regex}/)\r\n |> filter(fn: (r) => r[\"samplerType\"] =~ /${samplerType:regex}/)\r\n |> group(columns: [\"requestName\"])\r\n |> toFloat()\r\n |> quantile(q: 0.95)\r\n |> group(columns: [\"requestName\"])\r\n |> keep(columns: [ \"_value\", \"requestName\"])\r\n |> rename(columns: {_value: \"request\"})\r\n\r\n",
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],
"title": "Response Time 95% percentile",
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}
],
"title": "Response Time 99% percentile",
"transformations": [],
"type": "bargauge"
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"x": 9,
"y": 17
},
"id": 96,
"links": [],
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},
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{
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],
"measurement": "responseError",
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"policy": "autogen",
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"rawQuery": true,
"refId": "C",
"resultFormat": "table",
"select": [
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{
"params": [
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],
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}
],
"title": "Summary of Error",
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},
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"panels": [],
"title": "Throughput",
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},
{
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"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
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"overrides": [
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"options": "meanActiveThreads"
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"properties": [
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"value": "Virtual Users"
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"w": 12,
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},
"id": 91,
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],
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],
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"query": "\r\n \r\n from(bucket: \"jmeter\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] == \"requestsRaw\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"responseTime\") \r\n |> filter(fn: (r) => r[\"runId\"] =~ /${runId:regex}/)\r\n |> group(columns: [\"_field\"])\r\n |> aggregateWindow(every: ${aggregation}s, fn: count, createEmpty: false) \r\n |> toFloat() \r\n |> map(fn: (r) => ({ r with _value: float(v: r._value /float(v: ${aggregation})) }))\r\n",
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}
],
"title": "Overall Throughput ",
"transformations": [],
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},
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],
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},
{
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],
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}
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"measurement": "requestsRaw",
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{
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},
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"title": "Overall Throughput per Request (status \"fail\")",
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},
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},
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},
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}
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},
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{
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],
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},
{
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}
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"orderByTime": "ASC",
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},
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],
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{
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],
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{
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"tags": []
}
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"uid": "${DS_INFLUXDB}"
},
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"w": 24,
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},
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"links": [],
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"max",
"min",
"mean"
],
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},
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"pluginVersion": "8.5.4",
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{
"alias": "Sent Bytes",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
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{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"requestName"
],
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],
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}
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"hide": false,
"measurement": "requestsRaw",
"orderByTime": "ASC",
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"query": "from(bucket: \"jmeter\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] == \"requestsRaw\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"receivedBytes\")\r\n |> filter(fn: (r) => r[\"runId\"] =~ /${runId:regex}/)\r\n |> filter(fn: (r) => r[\"samplerType\"] =~ /${samplerType:regex}/)\r\n |> group(columns: [\"_field\"])\r\n |> aggregateWindow(every: [[aggregation]]s, fn: mean, createEmpty: false)",
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"refId": "A",
"resultFormat": "time_series",
"select": [
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{
"params": [
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],
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},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "requestName",
"operator": "!=",
"value": "select tag value"
}
]
},
{
"alias": "Received Bytes",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"requestName"
],
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{
"params": [
"null"
],
"type": "fill"
}
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"refId": "B",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"receivedBytes"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "requestName",
"operator": "!=",
"value": "select tag value"
}
]
}
],
"title": "Bytes Throughput Over Time",
"transformations": [],
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
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}
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"thresholds": {
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},
{
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},
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"datasource": {
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},
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"requestName"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
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"measurement": "requestsRaw",
"orderByTime": "ASC",
"policy": "default",
"query": "from(bucket: \"jmeter\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] == \"requestsRaw\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"sentBytes\")\r\n |> filter(fn: (r) => r[\"runId\"] =~ /${runId:regex}/)\r\n |> filter(fn: (r) => r[\"samplerType\"] =~ /${samplerType:regex}/)\r\n |> group (columns: [\"requestName\"])\r\n |> aggregateWindow(every: [[aggregation]]s, fn: mean, createEmpty: false)",
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"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"receivedBytes"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "requestName",
"operator": "!=",
"value": "select tag value"
}
]
}
],
"title": "Sent Bytes per Request",
"transformations": [],
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
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},
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"scaleDistribution": {
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},
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"spanNulls": false,
"stacking": {
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},
"thresholdsStyle": {
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}
},
"mappings": [],
"thresholds": {
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"steps": [
{
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},
{
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"value": 80
}
]
},
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},
"overrides": []
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},
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"targets": [
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"datasource": {
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"uid": "${DS_INFLUXDB}"
},
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{
"params": [
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],
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],
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"policy": "default",
"query": "from(bucket: \"jmeter\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] == \"requestsRaw\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"receivedBytes\")\r\n |> filter(fn: (r) => r[\"runId\"] =~ /${runId:regex}/)\r\n |> filter(fn: (r) => r[\"samplerType\"] =~ /${samplerType:regex}/)\r\n |> group (columns: [\"requestName\"])\r\n |> aggregateWindow(every: [[aggregation]]s, fn: mean, createEmpty: false)",
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"resultFormat": "time_series",
"select": [
[
{
"params": [
"receivedBytes"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
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{
"key": "requestName",
"operator": "!=",
"value": "select tag value"
}
]
}
],
"title": "Received Bytes per Request",
"transformations": [],
"type": "timeseries"
},
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"w": 24,
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"y": 150
},
"id": 87,
"libraryPanel": {
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"name": "Processing Time = Latency - Connect Time "
}
},
{
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"datasource": {
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"uid": "UgPq-YFnk"
},
"gridPos": {
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"w": 24,
"x": 0,
"y": 160
},
"id": 46,
"panels": [],
"title": "Individual Request [[request]]",
"type": "row"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
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"error": false,
"gridPos": {
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"w": 24,
"x": 0,
"y": 161
},
"height": "180",
"id": 121,
"links": [],
"options": {
"code": {
"language": "plaintext",
"showLineNumbers": false,
"showMiniMap": false
},
"content": "<h3 style=\"text-align: center;\"><em>The following panels show aggregated metrics for <span style=\"color: #00ccff;\"><strong>selected request \"[[request]]\"</strong></span></em></h3>",
"mode": "html"
},
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{
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},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
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},
"custom": {
"axisLabel": "Response Time",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 30,
"gradientMode": "none",
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"tooltip": false,
"viz": false
},
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"scaleDistribution": {
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"stacking": {
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},
"thresholdsStyle": {
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}
},
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"thresholds": {
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"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
},
"unit": "ms"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "95 perc"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "#F9934E",
"mode": "fixed"
}
}
]
},
{
"matcher": {
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"options": "99 perc"
},
"properties": [
{
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"value": {
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}
}
]
},
{
"matcher": {
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},
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}
}
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}
]
},
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"w": 24,
"x": 0,
"y": 163
},
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"links": [],
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"placement": "bottom",
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},
"tooltip": {
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},
"pluginVersion": "8.5.4",
"targets": [
{
"alias": "Mean",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"dsType": "influxdb",
"groupBy": [
{
"params": [
"$aggregation"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"hide": false,
"measurement": "requestsRaw",
"orderByTime": "ASC",
"policy": "default",
"query": " from(bucket: \"jmeter\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] == \"requestsRaw\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"responseTime\")\r\n |> filter(fn: (r) => r[\"requestName\"] == \"${request}\")\r\n |> filter(fn: (r) => r[\"runId\"] =~ /${runId:regex}/) \r\n |> group(columns: [\"requestName\"])\r\n |> aggregateWindow(every: ${aggregation}s, fn: mean, createEmpty: false) \r\n |> keep(columns: [\"_time\", \"_value\"])\r\n |> rename(columns: {_value: \"Response Time. AVG\"})",
"rawQuery": true,
"refId": "AVG",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"responseTime"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "requestName",
"operator": "=~",
"value": "/^$request$/"
}
]
},
{
"alias": "90 perc",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"dsType": "influxdb",
"groupBy": [
{
"params": [
"$aggregation"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"hide": false,
"measurement": "requestsRaw",
"orderByTime": "ASC",
"policy": "default",
"query": " from(bucket: \"jmeter\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] == \"requestsRaw\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"responseTime\")\r\n |> filter(fn: (r) => r[\"requestName\"] == \"${request}\")\r\n |> filter(fn: (r) => r[\"runId\"] =~ /${runId:regex}/)\r\n |> filter(fn: (r) => r[\"samplerType\"] =~ /${samplerType:regex}/)\r\n |> group(columns: [\"requestName\"])\r\n |> aggregateWindow(every: ${aggregation}s, fn: max, createEmpty: false) \r\n |> keep(columns: [\"_time\", \"_value\"])\r\n |> rename(columns: {_value: \"Response Time. MAX\"})",
"rawQuery": true,
"refId": "MAX",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"responseTime"
],
"type": "field"
},
{
"params": [
"90"
],
"type": "percentile"
}
]
],
"tags": [
{
"key": "requestName",
"operator": "=~",
"value": "/^$request$/"
}
]
},
{
"alias": "95 perc",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"dsType": "influxdb",
"groupBy": [
{
"params": [
"$aggregation"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"hide": false,
"measurement": "requestsRaw",
"orderByTime": "ASC",
"policy": "default",
"query": " from(bucket: \"jmeter\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] == \"requestsRaw\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"responseTime\")\r\n |> filter(fn: (r) => r[\"requestName\"] == \"${request}\")\r\n |> filter(fn: (r) => r[\"runId\"] =~ /${runId:regex}/)\r\n |> filter(fn: (r) => r[\"samplerType\"] =~ /${samplerType:regex}/)\r\n |> toFloat()\r\n |> group(columns: [\"requestName\"])\r\n |> aggregateWindow(every: ${aggregation}s, fn: median, createEmpty: false) \r\n |> keep(columns: [\"_time\", \"_value\"])\r\n |> rename(columns: {_value: \"Response Time. Median\"})",
"rawQuery": true,
"refId": "Median",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"responseTime"
],
"type": "field"
},
{
"params": [
95
],
"type": "percentile"
}
]
],
"tags": [
{
"key": "requestName",
"operator": "=~",
"value": "/^$request$/"
}
]
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"orderByTime": "ASC",
"policy": "default",
"query": "from(bucket: \"jmeter\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] == \"requestsRaw\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"latency\") \r\n |> filter(fn: (r) => r[\"requestName\"] == \"${request}\")\r\n |> filter(fn: (r) => r[\"runId\"] =~ /${runId:regex}/)\r\n |> filter(fn: (r) => r[\"samplerType\"] =~ /${samplerType:regex}/)\r\n |> group (columns: [\"requestName\"])\r\n |> aggregateWindow(every: [[aggregation]]s, fn: mean, createEmpty: false)\r\n |> keep(columns: [\"_time\", \"_value\"])\r\n |> rename(columns: {_value: \"Latency\"})\r\n",
"refId": "Latency",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": []
}
],
"title": "Response Time [[request]]",
"transformations": [],
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "Throughput",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 10,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "smooth",
"lineStyle": {
"fill": "solid"
},
"lineWidth": 2,
"pointSize": 8,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "always",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
},
"unit": "ops"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 172
},
"id": 7,
"links": [],
"options": {
"legend": {
"calcs": [
"mean",
"lastNotNull",
"max",
"min"
],
"displayMode": "table",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"pluginVersion": "8.5.4",
"targets": [
{
"alias": "Throughput",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"dsType": "influxdb",
"groupBy": [
{
"params": [
"10s"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "requestsRaw",
"orderByTime": "ASC",
"policy": "default",
"query": " from(bucket: \"jmeter\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] == \"requestsRaw\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"responseTime\")\r\n |> filter(fn: (r) => r[\"requestName\"] == \"${request}\")\r\n |> filter(fn: (r) => r[\"runId\"] =~ /${runId:regex}/)\r\n |> group(columns: [\"requestName\"])\r\n |> aggregateWindow(every: ${aggregation}s, fn: count, createEmpty: false) \r\n |> toFloat() \r\n |> map(fn: (r) => ({ r with _value: float(v: r._value /float(v: ${aggregation})) }))\r\n",
"rawQuery": true,
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"responseTime"
],
"type": "field"
},
{
"params": [],
"type": "count"
}
]
],
"tags": [
{
"key": "requestName",
"operator": "=~",
"value": "/^$request$/"
}
]
}
],
"title": "Throughput per second [[request]] ",
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "errors / interval",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 10,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "smooth",
"lineWidth": 2,
"pointSize": 6,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "always",
"spanNulls": true,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"min": 0,
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
},
"unit": "short"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 172
},
"id": 11,
"interval": "",
"links": [],
"options": {
"legend": {
"calcs": [
"mean",
"lastNotNull",
"max",
"min"
],
"displayMode": "table",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"pluginVersion": "8.5.4",
"targets": [
{
"alias": "Errors per Second",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"dsType": "influxdb",
"groupBy": [
{
"params": [
"$aggregation"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "requestsRaw",
"orderByTime": "ASC",
"policy": "default",
"query": " from(bucket: \"jmeter\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] == \"requestsRaw\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"errorCount\")\r\n |> filter(fn: (r) => r[\"_value\"] == 1)\r\n |> filter(fn: (r) => r[\"requestName\"] == \"${request}\")\r\n |> filter(fn: (r) => r[\"runId\"] =~ /${runId:regex}/)\r\n |> group(columns: [\"_field\", \"requestName\"])\r\n |> aggregateWindow(every: ${aggregation}s, fn: count, createEmpty: false) \r\n |> toFloat() \r\n |> map(fn: (r) => ({ r with _value: float(v: r._value /float(v: ${aggregation})) }))\r\n",
"rawQuery": true,
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"errorCount"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "requestName",
"operator": "=~",
"value": "/^$request$/"
}
]
}
],
"title": "Error Rate [[request]]",
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
}
},
"mappings": [],
"unit": "none"
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 24,
"x": 0,
"y": 180
},
"id": 105,
"links": [],
"options": {
"displayLabels": [
"percent"
],
"legend": {
"displayMode": "list",
"placement": "bottom",
"showLegend": true,
"values": []
},
"pieType": "pie",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"pluginVersion": "8.2.3",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"hide": false,
"query": "from(bucket: \"jmeter\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] == \"requestsRaw\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"count\") \r\n |> filter(fn: (r) => r[\"requestName\"] == \"${request}\")\r\n |> filter(fn: (r) => r[\"runId\"] =~ /${runId:regex}/)\r\n |> group(columns: [\"requestName\", \"responseCode\"])\r\n |> toFloat()\r\n |> sum()\r\n |> keep(columns: [ \"requestName\", \"responseCode\", \"_value\"])\r\n |> rename(columns: {_value: \"request\"})\r\n\r\n \r\n \r\n ",
"refId": "A"
}
],
"title": "Response codes",
"transformations": [],
"type": "piechart"
}
],
"refresh": "5s",
"schemaVersion": 36,
"style": "dark",
"tags": [],
"templating": {
"list": [
{
"current": {},
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"definition": "import \"influxdata/influxdb/schema\"\r\n\r\nschema.measurementTagValues(\r\n bucket: \"jmeter\",\r\n measurement: \"requestsRaw\",\r\n tag: \"requestName\"\r\n)",
"hide": 0,
"includeAll": false,
"label": "Individual Request",
"multi": false,
"name": "request",
"options": [],
"query": "import \"influxdata/influxdb/schema\"\r\n\r\nschema.measurementTagValues(\r\n bucket: \"jmeter\",\r\n measurement: \"requestsRaw\",\r\n tag: \"requestName\"\r\n)",
"refresh": 2,
"regex": "",
"skipUrlSync": false,
"sort": 1,
"type": "query",
"useTags": false
},
{
"auto": false,
"current": {
"selected": true,
"text": "10",
"value": "10"
},
"hide": 0,
"includeAll": false,
"label": "Aggregation Interval",
"multi": false,
"name": "aggregation",
"options": [
{
"selected": false,
"text": "1",
"value": "1"
},
{
"selected": true,
"text": "10",
"value": "10"
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{
"selected": false,
"text": "30",
"value": "30"
},
{
"selected": false,
"text": "60",
"value": "60"
},
{
"selected": false,
"text": "600",
"value": "600"
},
{
"selected": false,
"text": "1800",
"value": "1800"
},
{
"selected": false,
"text": "3600",
"value": "3600"
}
],
"query": "1,10,30,60,600,1800,3600",
"queryValue": "",
"refresh": 0,
"skipUrlSync": false,
"type": "custom"
},
{
"allValue": "",
"current": {},
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"definition": "import \"influxdata/influxdb/schema\"\r\n\r\nschema.measurementTagValues(\r\n bucket: \"jmeter\",\r\n measurement: \"requestsRaw\",\r\n tag: \"runId\"\r\n)",
"description": "You can filter the data using run id",
"hide": 0,
"includeAll": true,
"label": "Run Id",
"multi": true,
"name": "runId",
"options": [],
"query": "import \"influxdata/influxdb/schema\"\r\n\r\nschema.measurementTagValues(\r\n bucket: \"jmeter\",\r\n measurement: \"requestsRaw\",\r\n tag: \"runId\"\r\n)",
"refresh": 2,
"regex": "",
"skipUrlSync": false,
"sort": 1,
"type": "query"
},
{
"allValue": "",
"current": {},
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"definition": "import \"influxdata/influxdb/schema\"\r\n\r\nschema.measurementTagValues(\r\n bucket: \"jmeter\",\r\n measurement: \"requestsRaw\",\r\n tag: \"samplerType\"\r\n)",
"description": "There is the possibility to filter the requests or transactions ",
"hide": 0,
"includeAll": true,
"label": "Type",
"multi": false,
"name": "samplerType",
"options": [],
"query": "import \"influxdata/influxdb/schema\"\r\n\r\nschema.measurementTagValues(\r\n bucket: \"jmeter\",\r\n measurement: \"requestsRaw\",\r\n tag: \"samplerType\"\r\n)",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 1,
"type": "query"
}
]
},
"time": {
"from": "now-1m",
"to": "now"
},
"timepicker": {
"refresh_intervals": [
"5s",
"10s",
"30s",
"1m",
"5m",
"15m",
"30m",
"1h",
"2h",
"1d"
],
"time_options": [
"5m",
"15m",
"1h",
"6h",
"12h",
"24h",
"2d",
"7d",
"30d"
]
},
"timezone": "browser",
"title": "JMeter x InfluxDB2.0",
"uid": "novianto-nugroho",
"version": 1,
"weekStart": ""
} | 2022-11-20 16:37:37 UTC | 2022-11-20 17:05:39 UTC | 0 | 0 |
17,533 | 1 | 519,379 | 26,922 | 0 | apache-iotdb-confignode-dashboard | Apache IoTDB ConfigNode Dashboard | The dashboard for Apache IoTDB ConfigNode v1.0 | 2022-12-04 12:22:41 UTC | 2022-12-04 12:36:01 UTC | 0 | null | 79,342 | 79,343 | null | null | 0 | 0 | 26,922 | 1 | 17,533 | 1 | 0 | null | {
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"name": "DS_PROMETHEUS",
"label": "Prometheus",
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],
"__elements": [],
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{
"type": "panel",
"id": "stat",
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{
"type": "panel",
"id": "timeseries",
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],
"annotations": {
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"datasource": {
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"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"target": {
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"tags": [],
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},
"description": "The dashboard for Apache IoTDB ConfigNode v1.0",
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"format": "time_series",
"intervalFactor": 2,
"legendFormat": "{{instance}}",
"range": true,
"refId": "A"
}
],
"title": "Running Containers",
"transparent": true,
"type": "stat"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 4,
"w": 3,
"x": 9,
"y": 1
},
"id": 20,
"options": {
"colorMode": "none",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "9.3.6",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "sum(kubelet_running_pods)",
"legendFormat": "__auto",
"range": true,
"refId": "A"
}
],
"title": "Running Pods",
"transparent": true,
"type": "stat"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
"fixedColor": "green",
"mode": "fixed"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "ms"
},
"overrides": []
},
"gridPos": {
"h": 4,
"w": 3,
"x": 12,
"y": 1
},
"id": 12,
"options": {
"colorMode": "value",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "9.3.6",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"exemplar": false,
"expr": "max(rate(http_request_duration_seconds_bucket{job=\"spegel\"})) [$__interval]",
"format": "table",
"instant": true,
"legendFormat": "__auto",
"range": false,
"refId": "A"
}
],
"title": "Max Request Duration",
"transparent": true,
"type": "stat"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"gridPos": {
"h": 4,
"w": 3,
"x": 18,
"y": 1
},
"id": 2,
"options": {
"code": {
"language": "plaintext",
"showLineNumbers": false,
"showMiniMap": false
},
"content": "<br>\n<div style=\"text-align: center;\"><a href=\"https://github.com/XenitAB/spegel\" target=\"_blank\">Spegel at GitHub</a> </div>\n\n",
"mode": "html"
},
"pluginVersion": "9.3.6",
"title": "Github link",
"transparent": true,
"type": "text"
},
{
"collapsed": false,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 5
},
"id": 9,
"panels": [],
"repeat": "datasource",
"repeatDirection": "h",
"type": "row"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
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},
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"align": "center",
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},
"mappings": [],
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},
{
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},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "instance"
},
"properties": [
{
"id": "custom.width",
"value": 226
}
]
},
{
"matcher": {
"id": "byName",
"options": "prometheus"
},
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},
"gridPos": {
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},
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"datasource": {
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},
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"expr": "spegel_advertised_images{job=~\"spegel\",instance=~\"$instance\"}",
"format": "table",
"instant": true,
"legendFormat": "__auto",
"range": false,
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"exemplar": false,
"expr": "spegel_advertised_keys{job=~\"spegel\",instance=~\"$instance\"} ",
"format": "table",
"hide": false,
"instant": true,
"legendFormat": "__auto",
"range": false,
"refId": "B"
}
],
"transformations": [
{
"id": "filterFieldsByName",
"options": {
"include": {
"names": [
"pod",
"Value #A",
"Value #B"
]
}
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},
{
"id": "merge",
"options": {}
},
{
"id": "renameByRegex",
"options": {
"regex": "Value #A",
"renamePattern": "Container cache"
}
},
{
"id": "renameByRegex",
"options": {
"regex": "Value #B",
"renamePattern": "Layers cache"
}
}
],
"transparent": true,
"type": "table"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"description": "",
"fieldConfig": {
"defaults": {
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"mode": "palette-classic"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "series",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 10,
"gradientMode": "opacity",
"hideFrom": {
"legend": false,
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"viz": false
},
"lineInterpolation": "smooth",
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"fill": "solid"
},
"lineWidth": 2,
"pointSize": 1,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 12,
"x": 12,
"y": 6
},
"id": 6,
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"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"pluginVersion": "9.3.6",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"exemplar": false,
"expr": "spegel_advertised_images{job=~\"spegel\",instance=~\"$instance\"}",
"format": "time_series",
"instant": false,
"legendFormat": "{{ instance }}",
"range": true,
"refId": "A"
}
],
"title": "Container Images Advertised ",
"transparent": true,
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "$datasource"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "series",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 36,
"gradientMode": "opacity",
"hideFrom": {
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"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
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},
"showPoints": "never",
"spanNulls": false,
"stacking": {
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"mode": "normal"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "requests"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "#F2495C",
"mode": "fixed"
}
},
{
"id": "custom.fillOpacity",
"value": 0
},
{
"id": "custom.lineWidth",
"value": 2
},
{
"id": "custom.stacking",
"value": {
"group": false,
"mode": "normal"
}
}
]
},
{
"matcher": {
"id": "byName",
"options": "limits"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "#FF9830",
"mode": "fixed"
}
},
{
"id": "custom.fillOpacity",
"value": 0
},
{
"id": "custom.lineWidth",
"value": 2
},
{
"id": "custom.stacking",
"value": {
"group": false,
"mode": "normal"
}
}
]
}
]
},
"gridPos": {
"h": 7,
"w": 12,
"x": 0,
"y": 13
},
"id": 28,
"interval": "1m",
"links": [],
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": false
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"pluginVersion": "9.3.6",
"targets": [
{
"datasource": {
"uid": "$datasource"
},
"editorMode": "code",
"exemplar": false,
"expr": "sum(node_namespace_pod_container:container_cpu_usage_seconds_total:sum_irate{container=\"$container\"}) by (pod)",
"format": "time_series",
"instant": false,
"intervalFactor": 2,
"legendFormat": "{{ container }}",
"range": true,
"refId": "A",
"step": 10
}
],
"title": "CPU Usage",
"transparent": true,
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "series",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 10,
"gradientMode": "opacity",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "smooth",
"lineWidth": 2,
"pointSize": 1,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 12,
"x": 12,
"y": 13
},
"id": 7,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"pluginVersion": "9.3.6",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"exemplar": false,
"expr": "spegel_advertised_keys{job=~\"spegel\",instance=~\"$instance\"} ",
"format": "time_series",
"instant": false,
"legendFormat": "{{ instance }}",
"range": true,
"refId": "A"
}
],
"title": "Images Layer Advertised ",
"transparent": true,
"type": "timeseries"
},
{
"collapsed": false,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 20
},
"id": 35,
"panels": [],
"title": "Kubelet",
"type": "row"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
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"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 6,
"gradientMode": "none",
"hideFrom": {
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"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "ops"
},
"overrides": []
},
"gridPos": {
"h": 10,
"w": 12,
"x": 0,
"y": 21
},
"id": 31,
"options": {
"legend": {
"calcs": [],
"displayMode": "table",
"placement": "right",
"showLegend": true
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "sum(rate(kubelet_runtime_operations_total{job=\"kubelet\", metrics_path=\"/metrics\", operation_type=~\"list_images|pull_image|start_container|list_images|list_containers|version|exec_sync|create_container\"}[$__rate_interval])) by (operation_type)",
"legendFormat": "__auto",
"range": true,
"refId": "A"
}
],
"title": "Kubelet Operation Rate",
"transparent": true,
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "$datasource"
},
"fieldConfig": {
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},
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},
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},
"showPoints": "never",
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"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
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{
"color": "green",
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},
{
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}
]
},
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},
"overrides": []
},
"gridPos": {
"h": 10,
"w": 12,
"x": 12,
"y": 21
},
"id": 33,
"links": [],
"options": {
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"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"pluginVersion": "9.3.6",
"targets": [
{
"datasource": {
"uid": "$datasource"
},
"editorMode": "code",
"expr": "sum(rate(kubelet_runtime_operations_errors_total{job=\"kubelet\", metrics_path=\"/metrics\",operation_type=~\"list_images|pull_image|start_container|list_images|list_containers|version|exec_sync|create_container\"}[$__rate_interval])) by (operation_type)",
"format": "time_series",
"intervalFactor": 2,
"legendFormat": "{{instance}} {{operation_type}}",
"range": true,
"refId": "A"
}
],
"title": "Kubelet Operation Error Rate",
"transparent": true,
"type": "timeseries"
}
],
"refresh": "30s",
"schemaVersion": 37,
"style": "dark",
"tags": [],
"templating": {
"list": [
{
"current": {
"selected": false,
"text": "Prometheus",
"value": "Prometheus"
},
"hide": 0,
"includeAll": false,
"label": "Data Source",
"multi": false,
"name": "datasource",
"options": [],
"query": "prometheus",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"type": "datasource"
},
{
"current": {
"selected": false,
"text": "registry",
"value": "registry"
},
"description": "",
"hide": 2,
"includeAll": false,
"label": "container",
"multi": false,
"name": "container",
"options": [
{
"selected": true,
"text": "registry",
"value": "registry"
}
],
"query": "registry",
"queryValue": "",
"skipUrlSync": false,
"type": "custom"
},
{
"current": {},
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"definition": "label_values(spegel_advertised_images,pod)",
"description": "",
"hide": 2,
"includeAll": false,
"label": "pod",
"multi": false,
"name": "pod",
"options": [],
"query": {
"query": "label_values(spegel_advertised_images,pod)",
"refId": "StandardVariableQuery"
},
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
},
{
"current": {},
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"definition": "label_values(spegel_advertised_keys,instance) ",
"hide": 0,
"includeAll": true,
"label": "instance",
"multi": true,
"name": "instance",
"options": [],
"query": {
"query": "label_values(spegel_advertised_keys,instance) ",
"refId": "StandardVariableQuery"
},
"refresh": 2,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
}
]
},
"time": {
"from": "now-3h",
"to": "now"
},
"timepicker": {},
"timezone": "",
"title": "Spegel stateless cluster local OCI registry mirror",
"uid": "1iY4QMJVk-psee",
"version": 1,
"weekStart": "",
"gnetId": 18089,
"description": "Spegel is a pull only OCI registry which runs locally on every Node in the Kubernetes cluster. Containerd is configured to use the local registry as a mirror, which would serve the image from within the cluster or from the source registry."
} | 2023-02-13 11:36:39 UTC | 2023-02-14 04:29:31 UTC | 0 | 0 |
18,345 | 1 | 683,756 | 28,164 | 0 | redis-overview | Redis Overview | redis_exporter for redis | 2023-03-23 02:21:46 UTC | 2023-04-10 02:44:16 UTC | 0 | # Redis_exporter
## 1.下载配置
下载文件:redis_exporter-v1.31.4.linux-amd64.tar.gz
解压:
```shell
tar -C /home -xvf redis_exporter-v1.31.4.linux-amd64.tar.gz && cd /home
mv redis_exporter-v1.31.4.linux-amd64 redis_exporter
```
配置systemd选项:
```shell
vim /usr/lib/systemd/system/redis_exporter.service
[Unit]
Description=Redis exporter
After=network.target
[Service]
User=prometheus
Group=prometheus
ExecStart=/home/redis_exporter/redis_exporter -redis.addr 10.1xx.1.2xx:6379
Type=simple
[Install]
WantedBy=multi-user.target
```
启动:
```shell
systemctl daemon-reload
systemctl start redis_exporter
systemctl status redis_exporter
systemctl enable redis_exporter
```
## 2.配置prometheus
添加至prometheus.yml:
- ```shell
- job_name: 'redis_exporter_targets'
static_configs:
- targets:
- "10.1xx.1.2xx:6379"
- "10.1xx.1.2xx:6379"
- "10.1xx.1.2xx:6379"
metrics_path: '/scrape'
relabel_configs:
- source_labels: [__address__]
target_label: __param_target
- source_labels: [__param_target]
target_label: instance
- target_label: __address__
replacement: "10.1xx.1.2xx:9121"
# config for scraping the exporter itself
- job_name: 'redis_exporter'
static_configs:
- targets:
- "10.19.1.2xx:9121"
```
| 0 | 0 | null | null | 0 | 0 | 28,164 | 1 | 18,345 | 1 | 0 | null | {
"__inputs": [
{
"name": "DS_PROMETHEUS",
"label": "Prometheus",
"description": "",
"type": "datasource",
"pluginId": "prometheus",
"pluginName": "Prometheus"
}
],
"__elements": {},
"__requires": [
{
"type": "panel",
"id": "bargauge",
"name": "Bar gauge",
"version": ""
},
{
"type": "panel",
"id": "gauge",
"name": "Gauge",
"version": ""
},
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "9.4.3"
},
{
"type": "panel",
"id": "graph",
"name": "Graph (old)",
"version": ""
},
{
"type": "datasource",
"id": "prometheus",
"name": "Prometheus",
"version": "1.0.0"
},
{
"type": "panel",
"id": "stat",
"name": "Stat",
"version": ""
}
],
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": {
"type": "datasource",
"uid": "grafana"
},
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} | 2023-03-23 02:21:46 UTC | 2023-03-23 02:26:15 UTC | 0 | 0 |
18,480 | 1 | 832,812 | 28,353 | 0 | mikrotik-mktxp-exporter | Mikrotik MKTXP Exporter | Mikrotik MKTXP Exporter metrics | 2023-04-10 06:57:38 UTC | 2023-04-10 06:58:35 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 28,353 | 1 | 18,480 | 1 | 0 | Mikrotik MKTXP Exporter metrics | {
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"displayMode": "table",
"placement": "right",
"showLegend": true,
"sortBy": "Mean",
"sortDesc": true
},
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"pluginVersion": "9.2.5",
"targets": [
{
"application": {
"filter": "Network"
},
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "rate(mktxp_queue_tree_queued_bytes_total{routerboard_name=\"$node\"}[4m])",
"format": "time_series",
"functions": [],
"group": {
"filter": "Network"
},
"hide": false,
"host": {
"filter": "MikroTik Router"
},
"instant": false,
"interval": "",
"intervalFactor": 1,
"item": {
"filter": "Incoming traffic on interface ether1-gateway"
},
"legendFormat": "{{ name }}",
"mode": 0,
"options": {
"showDisabledItems": false
},
"refId": "A"
}
],
"title": "Queue Tree Queued Bytes",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"description": "",
"fieldConfig": {
"defaults": {
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},
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"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 30,
"gradientMode": "none",
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"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"spanNulls": true,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"links": [],
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "Bps"
},
"overrides": [
{
"matcher": {
"id": "byRegexp",
"options": "/Upload/"
},
"properties": [
{
"id": "custom.transform",
"value": "negative-Y"
}
]
}
]
},
"gridPos": {
"h": 11,
"w": 12,
"x": 12,
"y": 211
},
"id": 105,
"links": [],
"options": {
"legend": {
"calcs": [
"mean",
"max",
"min"
],
"displayMode": "table",
"placement": "right",
"showLegend": true,
"sortBy": "Mean",
"sortDesc": true
},
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"pluginVersion": "9.2.5",
"targets": [
{
"application": {
"filter": "Network"
},
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "rate(mktxp_queue_tree_dropped_total{routerboard_name=\"$node\"}[4m])",
"format": "time_series",
"functions": [],
"group": {
"filter": "Network"
},
"hide": false,
"host": {
"filter": "MikroTik Router"
},
"instant": false,
"interval": "",
"intervalFactor": 1,
"item": {
"filter": "Incoming traffic on interface ether1-gateway"
},
"legendFormat": "{{ name }}",
"mode": 0,
"options": {
"showDisabledItems": false
},
"refId": "A"
}
],
"title": "Queue Tree Dropped Bytes",
"type": "timeseries"
},
{
"collapsed": false,
"datasource": {
"type": "prometheus",
"uid": "E1M7U50Gz"
},
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 222
},
"id": 80,
"panels": [],
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "E1M7U50Gz"
},
"refId": "A"
}
],
"title": "MKTXP Metrics",
"type": "row"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"color": {
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},
"links": [],
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
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"color": "green",
"value": null
},
{
"color": "yellow",
"value": 10
},
{
"color": "purple",
"value": 20
},
{
"color": "orange",
"value": 50
}
]
},
"unit": "ms"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 6,
"x": 0,
"y": 223
},
"id": 78,
"links": [],
"options": {
"displayMode": "gradient",
"minVizHeight": 10,
"minVizWidth": 0,
"orientation": "horizontal",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"showUnfilled": true,
"text": {}
},
"pluginVersion": "9.3.2",
"targets": [
{
"application": {
"filter": "Network"
},
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "rate(mktxp_collection_time_total{routerboard_name=\"$node\"}[4m]) ",
"format": "time_series",
"functions": [],
"group": {
"filter": "Network"
},
"hide": false,
"host": {
"filter": "MikroTik Router"
},
"instant": true,
"interval": "",
"intervalFactor": 1,
"item": {
"filter": "Incoming traffic on interface ether1-gateway"
},
"legendFormat": "{{ name }}",
"mode": 0,
"options": {
"showDisabledItems": false
},
"refId": "A"
}
],
"title": "MKTXP Collection Times",
"type": "bargauge"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
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"axisColorMode": "text",
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"gradientMode": "none",
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"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"log": 2,
"type": "log"
},
"showPoints": "never",
"spanNulls": true,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"links": [],
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "ms"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 18,
"x": 6,
"y": 223
},
"id": 77,
"links": [],
"options": {
"legend": {
"calcs": [
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],
"displayMode": "table",
"placement": "right",
"showLegend": true
},
"tooltip": {
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}
},
"pluginVersion": "9.3.2",
"targets": [
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"application": {
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},
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "rate(mktxp_collection_time_total{routerboard_name=\"$node\"}[4m])",
"format": "time_series",
"functions": [],
"group": {
"filter": "Network"
},
"hide": false,
"host": {
"filter": "MikroTik Router"
},
"instant": false,
"interval": "",
"intervalFactor": 1,
"item": {
"filter": "Incoming traffic on interface ether1-gateway"
},
"legendFormat": "{{ name }}",
"mode": 0,
"options": {
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},
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "sum(rate(mktxp_collection_time_total{routerboard_name=\"$node\"}[4m]))",
"interval": "",
"legendFormat": "Total",
"range": true,
"refId": "B"
}
],
"title": "MKTXP Collection Times",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
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"mode": "palette-classic"
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"axisPlacement": "auto",
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"fillOpacity": 10,
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},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
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},
"thresholdsStyle": {
"mode": "off"
}
},
"decimals": 0,
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"color": "green",
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},
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"color": "red",
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}
]
},
"unit": "bps"
},
"overrides": []
},
"gridPos": {
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"w": 12,
"x": 0,
"y": 231
},
"id": 27,
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"legendFormat": "{{direction}}",
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"title": "Internet Bandwidth",
"type": "timeseries"
},
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"uid": "${DS_PROMETHEUS}"
},
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},
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"legendFormat": "latency",
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}
],
"title": "Internet Latency",
"type": "timeseries"
}
],
"refresh": "10s",
"schemaVersion": 37,
"style": "dark",
"tags": [
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"dashboard",
"mktxp"
],
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"datasource": {
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"uid": "${DS_PROMETHEUS}"
},
"definition": "label_values(mktxp_system_identity_info, routerboard_name)",
"hide": 0,
"includeAll": false,
"label": "Routerboard",
"multi": false,
"name": "node",
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"query": "label_values(mktxp_system_identity_info, routerboard_name)",
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},
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"sort": 1,
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},
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},
"time": {
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"to": "now"
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"title": "Mikrotik MKTXP Exporter",
"uid": "Drt6FlxMkt-I",
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} | 2023-04-10 06:57:38 UTC | null | 0 | 0 |
18,681 | 1 | 618,572 | 28,659 | 0 | otel-kubeletstats | OpenTelemetry Kubernetes Kubeletstats | Monitors kubernetes pods using kubeletstat metrics scraped using Otel's kubeletstats receiver and Otel's Kubernetes cluster receiver | 2023-05-06 12:08:32 UTC | 2023-05-06 13:32:19 UTC | 0 | This dashboard shows important information from pods running in a kubernetes cluster. It relies on metrics collected using [Otel's Kubelet Stats receiver](https://github.com/open-telemetry/opentelemetry-collector-contrib/blob/main/receiver/kubeletstatsreceiver/README.md) and [Otel's Kubernetes cluster receiver](https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/receiver/k8sclusterreceiver). The following snippet shows an [OpenTelemetry collector's](https://opentelemetry.io/docs/collector/) configuration that should scrape the metrics required by this dashboard:
```
receivers:
kubeletstats:
auth_type: serviceAccount
collection_interval: 20s
endpoint: https://${env:OTEL_K8S_NODE_NAME}:10250
extra_metadata_labels:
- k8s.volume.type
insecure_skip_verify: true
metric_groups:
- container
- pod
- volume
- node
k8s_cluster:
allocatable_types_to_report:
- cpu
- memory
- storage
- ephemeral-storage
collection_interval: 15s
node_conditions_to_report:
- Ready
- MemoryPressure
processors:
resource/remove_container_id:
attributes:
- action: delete
key: container.id
- action: delete
key: container_id
exporters:
prometheusremotewrite/local:
endpoint: http://prometheus-server/api/v1/write
resource_to_telemetry_conversion:
enabled: true
service:
extensions:
- health_check
- memory_ballast
pipelines
metrics:
exporters:
- prometheusremotewrite/local
processors:
- resource/remove_container_id
receivers:
- kubeletstats
- k8s_cluster
```
Two things from that config snippet should be explained further:
* *container_id* label is removed from metrics. The biggest reason why this is done is because, when containers get restarted, they will create a new time series (because container_id labe is different). This demands more resources from prometheus and would break some panels (like rate(containers_restart))
* *prometheusremotewrite* exporter enables *resource_to_telemetry_conversion* is required to export existing attributes as prometheus labels.
| 84,096 | 84,097 | Other | null | 0 | 0 | 28,659 | 1 | 18,681 | 1 | 0 | null | {
"__inputs": [
{
"name": "DS_PROMETHEUS",
"label": "Prometheus",
"description": "",
"type": "datasource",
"pluginId": "prometheus",
"pluginName": "Prometheus"
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],
"__elements": {},
"__requires": [
{
"type": "panel",
"id": "gauge",
"name": "Gauge",
"version": ""
},
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"version": "9.4.3"
},
{
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"name": "Pie chart",
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"id": "prometheus",
"name": "Prometheus",
"version": "1.0.0"
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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",
"target": {
"limit": 100,
"matchAny": false,
"tags": [],
"type": "dashboard"
},
"type": "dashboard"
}
]
},
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 0,
"id": null,
"links": [],
"liveNow": false,
"panels": [
{
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 0
},
"id": 15,
"title": "Overview",
"type": "row"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"description": "This metric measures the average CPU utilization across all the containers in a given Pod. It represents the overall CPU utilization of the Pod, including all the containers running within it.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [],
"max": 1,
"min": 0,
"thresholds": {
"mode": "absolute",
"steps": [
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"color": "green",
"value": null
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{
"color": "#EAB839",
"value": 0.5
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"color": "red",
"value": 0.7
}
]
},
"unit": "percentunit"
},
"overrides": []
},
"gridPos": {
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"w": 6,
"x": 0,
"y": 1
},
"id": 7,
"options": {
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"fields": "",
"values": false
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"showThresholdLabels": false,
"showThresholdMarkers": true
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"pluginVersion": "9.4.3",
"targets": [
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"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "k8s_pod_cpu_utilization_ratio{k8s_pod_name=\"$pod_name\"}",
"legendFormat": "Pod {{k8s_pod_name}} CPU Usage",
"range": true,
"refId": "A"
}
],
"title": "Pod CPU Usage",
"type": "gauge"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"description": "This metric measures the memory utilization across all the containers in a given Pod. It represents the overall memory utilization of the Pod, including all the containers running within it.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
}
},
"mappings": [],
"unit": "bytes"
},
"overrides": [
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"matcher": {
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"options": ".*Used.*"
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"properties": [
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"value": {
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{
"matcher": {
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"options": ".*Available.*"
},
"properties": [
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"id": "color",
"value": {
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"mode": "fixed"
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}
]
}
]
},
"gridPos": {
"h": 8,
"w": 6,
"x": 6,
"y": 1
},
"id": 9,
"options": {
"legend": {
"displayMode": "list",
"placement": "bottom",
"showLegend": false,
"values": [
"value",
"percent"
]
},
"pieType": "pie",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "k8s_pod_memory_available_bytes{k8s_pod_name=\"$pod_name\"}",
"legendFormat": "Available RAM {{k8s_pod_name}}",
"range": true,
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "k8s_pod_memory_usage_bytes{k8s_pod_name=\"$pod_name\"}",
"hide": false,
"legendFormat": "Used RAM {{k8s_pod_name}}",
"range": true,
"refId": "B"
}
],
"title": "Pod Used RAM",
"type": "piechart"
},
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"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
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"mappings": [],
"thresholds": {
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"steps": [
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"value": null
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"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 1
},
"id": 21,
"options": {
"colorMode": "value",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "9.4.3",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "k8s_container_restarts_ratio{k8s_pod_name=\"$pod_name\"}",
"legendFormat": "__auto",
"range": true,
"refId": "A"
}
],
"title": "Container Restarts",
"type": "stat"
},
{
"collapsed": false,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 9
},
"id": 13,
"panels": [],
"title": "Resources - CPU",
"type": "row"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
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} | 2023-05-06 12:08:33 UTC | 2023-05-06 12:40:25 UTC | 0 | 0 |
8,156 | 1 | 194,669 | 11,108 | 256 | k6-load-testing-results | k6 Load Testing Results | A dashboard for visualizing results from the k6.io load testing tool, using the InfluxDB exporter.
Based on https://grafana.com/dashboards/2587
| 2018-09-28 15:47:41 UTC | 2018-09-28 15:48:20 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 11,108 | 1 | 8,156 | 1 | 256 | A dashboard for visualizing results from the k6.io load testing tool, using the InfluxDB exporter.
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} | 2018-09-28 15:47:41 UTC | 2018-09-28 15:48:20 UTC | 0 | 0 |
12,910 | 1 | 113,219 | 18,664 | 256 | proxmox-ve-node | Proxmox VE Node | Display data from the Proxmox host and hosted VM/CT | 2020-08-28 11:34:42 UTC | 2020-08-28 11:40:30 UTC | 0 | Configure Proxmox VE to send metrics to InfluxDB https://pve.proxmox.com/wiki/External_Metric_Server
https://www.cv4pve-metrics.com
https://github.com/Corsinvest/cv4pve-metrics
https://www.corsinvest.it | 55,635 | 55,636 | Telegraf | null | 0 | 0 | 18,664 | 1 | 12,910 | 1 | 256 | Display data from the Proxmox host and hosted VM/CT | {
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"definition": "SHOW TAG VALUES FROM system WITH KEY=host WHERE object='nodes'",
"hide": 0,
"includeAll": false,
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"query": "SHOW TAG VALUES FROM system WITH KEY=host WHERE object='nodes'",
"refresh": 1,
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"sort": 5,
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},
"time": {
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},
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"title": "Proxmox VE Node",
"uid": "KwmMGNZngKB",
"version": 5
} | 2020-08-28 11:34:42 UTC | null | 0 | 0 |
15,239 | 1 | 564,748 | 22,864 | 1 | adax | Adax | General-purpose dashboard for metrics from adax-prometheus-exporter | 2021-11-14 19:17:27 UTC | 2021-11-14 19:18:24 UTC | 0 | https://github.com/vilhelmprytz/adax-prometheus-exporter | 0 | 0 | Other | null | 0 | 0 | 22,864 | 1 | 15,239 | 1 | 1 | null | {
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} | 2021-11-14 19:17:27 UTC | 2021-11-14 19:18:24 UTC | 0 | 0 |
15,572 | 1 | 639 | 23,503 | 1 | samma-io | Samma.io Alerts | Samma.io scanners | 2022-01-17 17:47:00 UTC | 2022-02-25 09:05:13 UTC | 0 | # For Samma scanners
Security scanners for Kubernetes
This dashboard is the base dashboard for samma.io.
It used the elasticsearch backend and used for the guide and demo project.
It will also be a great base when first deploying samma
# Readmore
https://samma.io | 70,361 | 70,362 | null | null | 0 | 0 | 23,503 | 1 | 15,572 | 1 | 1 | null | {
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16,556 | 1 | 675,755 | 25,276 | 1 | freebox-monitoring | Freebox Monitoring | This is a pretty simple dashboard for Freebox Monitoring using https://github.com/saphoooo/freebox_exporter
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16,924 | 1 | 480,529 | 25,957 | 1 | server | Nomad Server | Monitor overall health, and resource usage of a Nomad cluster, Raft usage, RPC usage etc. | 2022-09-11 10:32:48 UTC | 2022-09-11 10:34:19 UTC | 0 | https://github.com/mr-karan/nomad-monitoring | 76,691 | 76,692 | Other | null | 0 | 0 | 25,957 | 1 | 16,924 | 1 | 1 | null | {
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16,622 | 1 | 628,537 | 25,425 | 1 | fmadio-device-info | FMADIO Appliance Details | Detailed monitoring of the health of FMADIO 10G 40G 100G Packet Capture Appliances | 2022-07-22 03:22:45 UTC | 2022-08-01 08:46:29 UTC | 0 | ##### FMADIO Appliance Details dashboard provides in-depth monitoring of key metrics from FMADIO 10G 40G 100G Packet capture appliances and compliments the FMADIO Fleet dashboard.
Metrics include:
- CPU Utilisation
- RAM utilisation
- Storage utilisation
- Packet Capture rate
- Component Temperatures
- Disk Temperatures
See also:
[FMADIO Fleet dashboard](https://grafana.com/grafana/dashboards/16488)
More info
[FMADIO 10G 40G 100G Packet Capture](https://fmad.io) | 75,137 | 75,138 | null | null | 0 | 0 | 25,425 | 1 | 16,622 | 1 | 1 | null | {
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},
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},
{
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"orderBy": "_term",
"size": "10"
},
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}
],
"datasource": {
"type": "elasticsearch",
"uid": "${DS_ELASTICSEARCH_SURICATA}"
},
"metrics": [
{
"id": "1",
"type": "count"
}
],
"query": "host.keyword:$capture_device and host.keyword:\"${capture_device}-suricata\"",
"refId": "A",
"timeField": "@timestamp"
}
],
"title": "Panel Title",
"type": "table"
}
],
"title": "Suricata",
"type": "row"
}
],
"refresh": "",
"schemaVersion": 36,
"style": "dark",
"tags": [],
"templating": {
"list": [
{
"current": {},
"datasource": {
"type": "elasticsearch",
"uid": "${DS_ELASTICSEARCH_FMADIO}"
},
"definition": "{\"find\":\"terms\",\"field\":\"host.keyword\"}",
"hide": 0,
"includeAll": true,
"label": "Device:",
"multi": false,
"name": "capture_device",
"options": [],
"query": "{\"find\":\"terms\",\"field\":\"host.keyword\"}",
"refresh": 2,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
}
]
},
"time": {
"from": "now-6h",
"to": "now"
},
"timepicker": {},
"timezone": "",
"title": "FMADIO Appliance Details",
"uid": "k9ujpUC7z",
"version": 96,
"weekStart": "",
"gnetId": 16622,
"description": "Detailed monitoring of the health of FMADIO 10G 40G 100G Packet Capture Appliances"
} | 2022-07-22 03:22:45 UTC | 2022-08-01 08:46:09 UTC | 0 | 0 |
16,481 | 1 | 666,466 | 25,142 | 1 | lighthouse-sitespeed-io-reports | Lighthouse (sitespeed.io) reports | Display Lighthouse reports provided by sitespeed.io/graphite | 2022-06-20 21:18:32 UTC | 2022-06-20 21:24:42 UTC | 0 | null | 0 | 0 | collectd | null | 0 | 0 | 25,142 | 1 | 16,481 | 1 | 1 | Display Lighthouse reports provided by sitespeed.io/graphite | {
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"current": {
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"text": "${VAR_BASE}"
},
"hide": 2,
"label": "sitespeed_io",
"name": "base",
"options": [
{
"value": "${VAR_BASE}",
"text": "${VAR_BASE}"
}
],
"query": "${VAR_BASE}",
"skipUrlSync": false,
"type": "constant"
},
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"current": {},
"datasource": "${DS_GRAPHITE}",
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"includeAll": false,
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"multi": false,
"name": "path",
"options": [],
"query": "$base.*",
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"skipUrlSync": false,
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"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
"allValue": null,
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"definition": "$base.$path.pageSummary.*",
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"name": "group",
"options": [],
"query": "$base.$path.pageSummary.*",
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"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
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"current": {},
"datasource": "${DS_GRAPHITE}",
"definition": "$base.$path.pageSummary.$group.*",
"hide": 0,
"includeAll": false,
"label": null,
"multi": false,
"name": "page",
"options": [],
"query": "$base.$path.pageSummary.$group.*",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
}
]
},
"time": {
"from": "now-6h",
"to": "now"
},
"timepicker": {
"refresh_intervals": [
"5s",
"10s",
"30s",
"1m",
"5m",
"15m",
"30m",
"1h",
"2h",
"1d"
],
"time_options": [
"5m",
"15m",
"1h",
"6h",
"12h",
"24h",
"2d",
"7d",
"30d"
]
},
"timezone": "",
"title": "Lighthouse (sitespeed.io) reports",
"uid": "S3sSmCWWk",
"version": 33,
"description": " Display Lighthouse reports provided by sitespeed.io/graphite"
} | 2022-06-20 21:18:32 UTC | null | 0 | 0 |
16,059 | 1 | 626,646 | 24,366 | 1 | adguard | ShiftMon Adguard | Dashboard for the adguard querylog sent to loki | 2022-04-06 03:19:53 UTC | 2022-04-06 03:31:41 UTC | 0 | This dashboard shows all queries on the left half and filter queries on the right by tailing the adgaurd querylog using telegraf. | 72,414 | 72,415 | Telegraf | ```
[[inputs.tail]]
fielddrop = ['''Answer''']
name_suffix = "_adguard"
files = ['''/opt/AdGuardHome/data/querylog.json*''']
data_format = "json"
tag_keys = ["Cached","Upstream"]
json_string_fields = ["*"]
[[ outputs.loki]]
domain = "$loki_url"
username = "$loki_user"
password = "$loki_password"
namepass = ["tail*","exec*","x509_cert","syslog"]
``` | 0 | 0 | 24,366 | 1 | 16,059 | 1 | 1 | null | {
"__inputs": [
{
"name": "DS_SHIFT-LOGS",
"label": "shift-logs",
"description": "",
"type": "datasource",
"pluginId": "loki",
"pluginName": "Loki"
}
],
"__elements": [],
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{
"type": "grafana",
"id": "grafana",
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},
{
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"id": "loki",
"name": "Loki",
"version": "1.0.0"
},
{
"type": "panel",
"id": "piechart",
"name": "Pie chart",
"version": ""
},
{
"type": "panel",
"id": "table",
"name": "Table",
"version": ""
}
],
"annotations": {
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"builtIn": 1,
"datasource": "-- Grafana --",
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"target": {
"limit": 100,
"matchAny": false,
"tags": [],
"type": "dashboard"
},
"type": "dashboard"
}
]
},
"editable": true,
"fiscalYearStartMonth": 0,
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"links": [],
"liveNow": false,
"panels": [
{
"datasource": {
"type": "loki",
"uid": "${DS_SHIFT-LOGS}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": "auto",
"displayMode": "auto"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 12,
"x": 0,
"y": 0
},
"id": 2,
"options": {
"footer": {
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true,
"sortBy": [
{
"desc": false,
"displayName": "AD"
}
]
},
"pluginVersion": "8.4.5",
"targets": [
{
"datasource": {
"type": "loki",
"uid": "${DS_SHIFT-LOGS}"
},
"expr": "{host=\"$host\",path=\"/opt/AdGuardHome/data/querylog.json\"} | logfmt",
"refId": "A"
}
],
"title": "All Queries",
"transformations": [
{
"id": "labelsToFields",
"options": {}
},
{
"id": "merge",
"options": {}
},
{
"id": "organize",
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"CP": true,
"Cached": true,
"OrigAnswer": true,
"QC": true,
"Result_IPList_0": true,
"Result_IPList_1": true,
"Result_Reason": true,
"Result_Rules_0_FilterListID": true,
"Result_Rules_0_IP": true,
"Result_Rules_0_Text": true,
"Result_Rules_1_FilterListID": true,
"Result_Rules_1_IP": true,
"Result_Rules_1_Text": true,
"Upstream": true,
"__name": true,
"host": true,
"id": true,
"line": true,
"path": true,
"ts": true,
"tsNs": true
},
"indexByName": {
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"QH": 2,
"QT": 3,
"Result_IPList_0": 21,
"Result_IPList_1": 22,
"Result_IsFiltered": 5,
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"Result_Rules_0_IP": 25,
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"Result_Rules_1_FilterListID": 23,
"Result_Rules_1_IP": 26,
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"T": 0,
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"__name": 15,
"host": 16,
"id": 10,
"line": 9,
"path": 13,
"ts": 8,
"tsNs": 11
},
"renameByName": {
"Cached": "",
"Elapsed": "query time",
"IP": "Source",
"QC": "",
"QH": "domain",
"QT": "Query type",
"Result_IsFiltered": "filtered",
"T": "Time",
"Upstream": ""
}
}
}
],
"type": "table"
},
{
"datasource": {
"type": "loki",
"uid": "${DS_SHIFT-LOGS}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": "auto",
"displayMode": "auto"
},
"mappings": [],
"thresholds": {
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"steps": [
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},
{
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}
},
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},
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"x": 12,
"y": 0
},
"id": 3,
"options": {
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"reducer": [
"sum"
],
"show": false
},
"showHeader": true,
"sortBy": [
{
"desc": true,
"displayName": "Result_Rules_1_Text"
}
]
},
"pluginVersion": "8.4.5",
"targets": [
{
"datasource": {
"type": "loki",
"uid": "${DS_SHIFT-LOGS}"
},
"expr": "{host=\"$host\",path=\"/opt/AdGuardHome/data/querylog.json\"} |~ \"Result_IsFiltered\"| logfmt ",
"refId": "A"
}
],
"title": "filtered queries",
"transformations": [
{
"id": "labelsToFields",
"options": {}
},
{
"id": "merge",
"options": {}
},
{
"id": "organize",
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"Result_Rules_1_IP": true,
"Result_Rules_1_Text": true,
"Upstream": true,
"__name": true,
"host": true,
"id": true,
"line": true,
"path": true,
"ts": true,
"tsNs": true
},
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"Result_Rules_1_FilterListID": 21,
"Result_Rules_1_IP": 24,
"Result_Rules_1_Text": 22,
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16,199 | 1 | 639,969 | 24,603 | 1 | dolphindb-logs | dolphinDB logs | log inspect for dolphinDB | 2022-05-02 12:06:02 UTC | 2022-05-02 12:15:22 UTC | 0 | log utility to inspect dolphinDB log. features as below:
1. select keyword
2. select node
3. select log level(DEBUG,INFO, WARNING,ERROR)
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16,344 | 1 | 520,924 | 24,903 | 1 | dashboard-promiedos | Dashboard Promiedos | Dashboard descriptivo de base de datos de partidos obtenidos de la página Promiedos | 2022-05-27 19:51:21 UTC | 2022-05-27 19:52:27 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 24,903 | 1 | 16,344 | 1 | 1 | null | {
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},
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"rawSql": "-- Ganadores\nselect case \n\twhen goles_local > goles_visitante then 'Ganó Local'\n\twhen goles_local < goles_visitante then 'Ganó Visitante'\n\twhen goles_local = goles_visitante then 'Empate'\nend as ganador, count(*)\nfrom \"ochoajuanm/promiedos-database\".partidos\ngroup by ganador\n",
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"to": "2022-05-26T00:00:00.000Z"
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} | 2022-05-27 19:51:21 UTC | 2022-05-27 19:52:23 UTC | 0 | 0 |
16,928 | 1 | 707,741 | 25,961 | 1 | sosivio-dashboard | Sosivio Dashboard | Sosivio is a predictive troubleshooting platform built specifically for Kubernetes environments and applications. Instantly start observing all flavors of Kubernetes with real-time metrics, cluster health checks, and using lean AI to predict and prevent critical failure before they appear! | 2022-09-11 14:22:58 UTC | 2022-09-15 14:26:24 UTC | 0 | Sosivio looks at multiple layers of the infrastructure stack including the kernel, operating system, processes, network, container runtime, application logs, and Kubernetes layer. This granular data is fed through multiple AI/ML engines to determine the root cause of issues before they occur and provide instant remediation via a recommended command line fix.
The Sosivio Dashboard for Grafana allows users to see Sosivio Failure Alerts directly in Grafana and instantly be redirected to Sosivio UI to remediate those failures. Additionally, add context around Grafana signals with Sosivio’s root cause determination for critical failures.
### Installation Steps
1. Install Sosivio by downloading our automated installer [here](https://sosiv.io/try-sosivio/) or refer to our [documentation](https://docs.sosiv.io/quickstart/).
2. Apply the following ServiceMonitor Resource to your cluster:
```yaml
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
name: sosivio
namespace: monitoring
labels:
app: sosivio
spec:
selector:
matchLabels:
app: notifier
namespaceSelector:
matchNames:
- sosivio
endpoints:
- interval: 10s
port: http
scheme: http
```
if you installed sosivio in a namespace other than `sosivio` - change the `.spec.namespaceSelector.matchNames` field to your installed namespace
3. Add the Sosivio Dashboard to Grafana by using the ‘Get this Dashboard’ section on this page.
| 76,737 | 76,738 | Other | null | 1 | 5 | 25,961 | 1 | 16,928 | 1 | 1 | null | {
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} | 2022-09-11 14:22:58 UTC | 2022-09-15 14:24:50 UTC | 1 | 5 |
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16,925 | 1 | 480,529 | 25,958 | 1 | allocations | Nomad Allocations | Monitor resource metrics like CPU, Memory and Disk for each allocation across namespaces in a Nomad cluster. | 2022-09-11 10:34:44 UTC | 2022-09-11 10:35:21 UTC | 0 | https://github.com/mr-karan/nomad-monitoring | 76,695 | 76,696 | Other | null | 0 | 0 | 25,958 | 1 | 16,925 | 1 | 1 | null | {
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10,124 | 1 | 249,198 | 14,154 | 257 | jvm | Kubernetes JVM | JVM overview | 2019-04-30 16:43:16 UTC | 2019-04-30 16:46:55 UTC | 0 | JVM overview | 0 | 0 | null | null | 0 | 0 | 14,154 | 1 | 10,124 | 1 | 257 | null | {
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5,668 | 1 | 140,957 | 7,672 | 513 | mongodb | MongoDB | MongoDB Prometheus Exporter Dashboard.
Works well with https://github.com/dcu/mongodb_exporter
If you have the node_exporter running on the mongo instance, you will also get some useful alert panels related to disk io and cpu. | 2018-04-19 06:46:57 UTC | 2018-04-19 06:48:15 UTC | 0 | null | 0 | 0 | Other | null | 0 | 0 | 7,672 | 1 | 5,668 | 1 | 513 | MongoDB Prometheus Exporter Dashboard.
Works well with https://github.com/dcu/mongodb_exporter
If you have the node_exporter running on the mongo instance, you will also get some useful alert panels related to disk io and cpu. | {
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} | 2018-04-19 06:46:57 UTC | 2018-04-19 06:48:15 UTC | 0 | 0 |
16,878 | 1 | 38,859 | 25,891 | 2 | stark-industries | Cloud Analytics Pulse | The Pulse dashboard provides an at-a-glance view of your cloud spend on both AWS and Google Cloud. | 2022-09-07 06:17:48 UTC | 2022-09-07 06:51:56 UTC | 0 | The Pulse dashboard provides an at-a-glance view of your cloud overall spend on both AWS and Google Cloud, including a breakdown by services, a comparison to previous months, and a forecast.
DoiT International's Cloud Management Platform (CMP) helps the developers and DevOps/FinOps teams at digital-native companies improve cloud operations, maintain security, control cost, and ensure governance of its cloud estate.
This dashboard requires an active subscription for DoiT Cloud Analytics [1] or a Flexsave [2] subscription.
[1] https://www.doit-intl.com/cloud-management-platform
[2] https://www.doit-intl.com/flexsave | 76,520 | 76,521 | null | null | 0 | 0 | 25,891 | 1 | 16,878 | 1 | 2 | null | {
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{
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}
],
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}
},
{
"aliasColors": {
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"VRAM": "blue"
},
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"target": "alias($afterburner.gauge-RAM_usage, 'RAM')"
},
{
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"target": "alias($afterburner.gauge-Memory_usage, 'VRAM')"
}
],
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},
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},
{
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"show": true
}
],
"yaxis": {
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}
},
{
"aliasColors": {
"CPU": "blue",
"CPU Power": "orange",
"GPU": "orange",
"GPU Memory Clock": "orange",
"GPU Power": "blue",
"RAM": "orange",
"VRAM": "blue",
"Voltage": "blue"
},
"bars": false,
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},
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"yaxis": 2
}
],
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"stack": false,
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"targets": [
{
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"refId": "A",
"target": "alias(scale($afterburner.gauge-Memory_clock, 1000000), 'GPU Memory Clock')"
},
{
"refCount": 0,
"refId": "B",
"target": "alias($afterburner.gauge-GPU_voltage, 'Voltage')"
}
],
"thresholds": [],
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"timeRegions": [],
"timeShift": null,
"title": "Voltage / Memory Clock",
"tooltip": {
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},
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},
{
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"format": "volt",
"label": null,
"logBase": 1,
"max": "2",
"min": "0",
"show": true
}
],
"yaxis": {
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"alignLevel": null
}
},
{
"aliasColors": {
"Fan 1 %": "blue",
"Fan 1 RPM": "blue",
"Fan 1 Speed": "blue",
"Fan 1 rpm": "orange",
"Fan 2 %": "orange",
"Fan 2 RPM": "orange",
"Fan 2 Speed": "blue",
"Fan 2 rpm": "orange",
"RAM": "orange",
"VRAM": "blue"
},
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},
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},
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"target": "alias($afterburner.gauge-Fan_speed_2, 'Fan 2 Speed')"
},
{
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"target": "alias($afterburner.gauge-Fan_tachometer, 'Fan 1 rpm')"
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"refId": "A",
"target": "alias($afterburner.gauge-CPU_power, 'CPU')"
},
{
"refCount": 0,
"refId": "B",
"target": "alias($afterburner.gauge-Power, 'GPU')"
}
],
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"timeRegions": [],
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"title": "Power",
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},
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}
}
],
"refresh": false,
"schemaVersion": 22,
"style": "dark",
"tags": [],
"templating": {
"list": [
{
"current": {
"selected": false,
"text": "grAfterburner-Graphite",
"value": "grAfterburner-Graphite"
},
"hide": 0,
"includeAll": false,
"label": "Graphite",
"multi": false,
"name": "graphite",
"options": [],
"query": "graphite",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"type": "datasource"
},
{
"current": {
"value": "${VAR_AFTERBURNER}",
"text": "${VAR_AFTERBURNER}"
},
"hide": 2,
"label": "CollectD Metric Prefix",
"name": "afterburner",
"options": [
{
"value": "${VAR_AFTERBURNER}",
"text": "${VAR_AFTERBURNER}"
}
],
"query": "${VAR_AFTERBURNER}",
"skipUrlSync": false,
"type": "constant"
}
]
},
"time": {
"from": "now-15m",
"to": "now"
},
"timepicker": {
"nowDelay": "",
"refresh_intervals": [
"1s",
"2s",
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"10s",
"30s",
"1m",
"2m",
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"timezone": "",
"title": "MSI",
"uid": "gGWviXrZ1",
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},
"version": 2
} | 2022-03-28 08:53:03 UTC | 2022-03-28 08:54:12 UTC | 0 | 0 |
16,700 | 1 | 417,484 | 25,584 | 2 | moosefs-overview | Moosefs Overview | Use the mfscli command to generate monitoring metrics that can be recognized by prometheus. | 2022-08-10 03:26:37 UTC | 2022-09-02 01:23:08 UTC | 0 | ## Vision requirement
- moosefs:3.0116
## How to use
### 1.Add the following to the node_exporter startup parameters
```
--collector.textfile.directory=/var/log/prometheus
```
reload node_exporter
### 2.Prepare the mfscli2prom script
- [mfscli2prom.awk](https://github.com/Leif160519/ansible-linux/blob/master/files/prometheus/exporter/mfscli2prom.awk)
### 3.Run mfscli2prom.awk on moosefs master node(monit is recommended)
```
check program "mfscli2prom" with path "/bin/sh -c '/usr/bin/mfscli -ns"|" -SIM -SMU -SIG -SCS -SIC -SSC -SQU | /opt/mfscli2prom.awk > /var/log/prometheus/mfscli.prom'" with timeout 10 seconds
if status != 0 for 2 cycles then alert
```
```
$:monit reload
$:/etc/monit.d# monit summary mfscli2prom
Monit 5.30.0 uptime: 39d 20h 24m
┌─────────────────────────────────┬────────────────────────────┬───────────────┐
│ Service Name │ Status │ Type │
├─────────────────────────────────┼────────────────────────────┼───────────────┤
│ mfscli2prom │ OK │ Program │
└─────────────────────────────────┴────────────────────────────┴───────────────┘
```
### 4.Check for generated files under /var/log/prometheus/
```
/var/log/prometheus/mfscli.prom
```
### 5.Check whether moosefs metrics are generated in node_exporter
```
···
# HELP moosefs_active_quotas_current_inodes Metric read from /var/log/prometheus/mfscli.prom
# TYPE moosefs_active_quotas_current_inodes untyped
moosefs_active_quotas_current_inodes{path="mfs_path_1"} 760242
moosefs_active_quotas_current_inodes{path="mfs_path_2"} 295
moosefs_active_quotas_current_inodes{path="mfs_path_3"} 761
···
```
| 75,533 | 75,534 | nodeExporter | ## Vision requirement
- moosefs:3.0116
## How to use
### 1.Add the following to the node_exporter startup parameters
```
--collector.textfile.directory=/var/log/prometheus
```
reload node_exporter
### 2.Prepare the mfscli2prom script
- [mfscli2prom.awk](https://github.com/Leif160519/ansible-linux/blob/master/files/prometheus/exporter/mfscli2prom.awk)
### 3.Run mfscli2prom.awk on moosefs master node(monit is recommended)
```
check program "mfscli2prom" with path "/bin/sh -c '/usr/bin/mfscli -ns"|" -SIM -SMU -SIG -SCS -SIC -SSC -SQU | /opt/mfscli2prom.awk > /var/log/prometheus/mfscli.prom'" with timeout 10 seconds
if status != 0 for 2 cycles then alert
```
```
$:monit reload
$:/etc/monit.d# monit summary mfscli2prom
Monit 5.30.0 uptime: 39d 20h 24m
┌─────────────────────────────────┬────────────────────────────┬───────────────┐
│ Service Name │ Status │ Type │
├─────────────────────────────────┼────────────────────────────┼───────────────┤
│ mfscli2prom │ OK │ Program │
└─────────────────────────────────┴────────────────────────────┴───────────────┘
```
### 4.Check for generated files under /var/log/prometheus/
```
/var/log/prometheus/mfscli.prom
```
### 5.Check whether moosefs metrics are generated in node_exporter
```
···
# HELP moosefs_active_quotas_current_inodes Metric read from /var/log/prometheus/mfscli.prom
# TYPE moosefs_active_quotas_current_inodes untyped
moosefs_active_quotas_current_inodes{path="mfs_path_1"} 760242
moosefs_active_quotas_current_inodes{path="mfs_path_2"} 295
moosefs_active_quotas_current_inodes{path="mfs_path_3"} 761
···
```
| 0 | 0 | 25,584 | 1 | 16,700 | 1 | 2 | null | {
"__inputs": [
{
"name": "DS_PROMETHEUS",
"label": "Prometheus",
"description": "mfscli2prom",
"type": "datasource",
"pluginId": "prometheus",
"pluginName": "Prometheus"
}
],
"__elements": [],
"__requires": [
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{
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{
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{
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],
"annotations": {
"list": [
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"datasource": {
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"uid": "-- Grafana --"
},
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"target": {
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"matchAny": false,
"tags": [],
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},
"description": "Use the mfscli command to generate monitoring metrics that can be recognized by prometheus.",
"editable": true,
"fiscalYearStartMonth": 0,
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"iteration": 1660101686176,
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} | 2022-08-11 13:24:49 UTC | null | 0 | 0 |
16,329 | 1 | 651,531 | 24,864 | 2 | openwrt | OpenWRT | Dashboard for OpenWRT routers with installed lua scripts. | 2022-05-26 10:52:56 UTC | 2022-05-26 10:53:20 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 24,864 | 1 | 16,329 | 1 | 2 | Dashboard for OpenWRT routers with installed lua scripts. | {
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} | 2022-05-26 10:52:56 UTC | null | 0 | 0 |
16,897 | 1 | 159,212 | 25,921 | 2 | kong-statsd-exporter | Kong statsd exporter(offcial) | Dashboard that graphs metrics exported via statsd plugin and prometheus statsd_exporter in Kong (http://github.com/kong/kong) | 2022-09-09 07:43:13 UTC | 2022-09-14 08:16:41 UTC | 0 | Dashboard graphing metrics collected via
https://github.com/Kong/kong/tree/master/kong/plugins/statsd | 76,626 | 76,627 | Other | null | 0 | 0 | 25,921 | 1 | 16,897 | 1 | 2 | Dashboard that graphs metrics exported via Prometheus plugin in Kong (http://github.com/kong/kong) | {
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14,269 | 1 | 485,054 | 21,006 | 1,026 | linkerd-pod | Linkerd Pod | Linkerd Pod, golden metrics per pod | 2021-04-20 18:57:24 UTC | 2021-04-20 18:57:48 UTC | 0 | null | 62,329 | 62,330 | null | null | 0 | 0 | 21,006 | 1 | 14,269 | 1 | 1,026 | null | {
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} | 2019-07-26 10:34:08 UTC | 2019-07-26 10:35:42 UTC | 2 | 1.5 |
16,911 | 1 | 291,952 | 25,943 | 3 | api-server-troubleshooter-v1-6-1 | API Server Troubleshooter v1.6.1 | Dashboards for obsessive people | 2022-09-10 15:20:07 UTC | 2022-09-10 15:34:50 UTC | 0 | Designed to work with rules from Kube Stack Prometheus. This is dashboard covers all the new changes with API Priority and Fairness rules. For more details please see a blog post I put together for how to troubleshoot the API server.
https://aws.amazon.com/blogs/containers/troubleshooting-amazon-eks-api-servers-with-prometheus/
| 76,651 | 76,652 | Other | null | 0 | 0 | 25,943 | 1 | 16,911 | 1 | 3 | Dashboards for obsessive people | {
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15,838 | 1 | 237,886 | 23,990 | 3 | rulek | Rulek | Rulek | 2022-03-02 20:29:59 UTC | 2022-03-02 20:34:11 UTC | 0 | null | 0 | 0 | Other | null | 0 | 0 | 23,990 | 1 | 15,838 | 1 | 3 | null | {
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16,178 | 1 | 533,153 | 24,563 | 3 | 1000-validators-periodic-trends | 1000 Validators Periodic trends | Monitoring on the current active validators at KUSAMA NETWORK | 2022-04-28 11:31:45 UTC | 2022-04-28 11:50:51 UTC | 0 | Monitoring on the current active nodes from 1000 Validators program at KUSAMA NETWORK by "Offline Event and Faults". Datasource JSON plugin for Grafana with endpoint https://kusama.w3f.community/candidates
For Support:
Reach me at RIOT/Matrix chat, my nick is "Little Endian"
Validators name for nomination:
- KSMNETWORK
- ADDRESS: H1bSKJxoxzxYRCdGQutVqFGeW7xU3AcN6vyEdZBU7Qb1rsZ
- LINK to COPY: https://polkadot.js.org/apps/#/staking?filter=KSMNETWORK&rpc=wss://kusama-rpc.polkadot.io/
OR:
- KSMNETWORK-WEST
- ADDRESS: GREVfZSgcQjmPgGfx9Y4WNfnqa9Jz96pQdHQzwMUwYcVeGa
- LINK to COPY/PASTE: https://polkadot.js.org/apps/#/staking?filter=KSMNETWORK-WEST&rpc=wss://kusama-rpc.polkadot.io
ADDRESSES:
- KUSAMA: H1bSKJxoxzxYRCdGQutVqFGeW7xU3AcN6vyEdZBU7Qb1rsZ
- POLKADOT: 15SGvLEA3PFWEJPhTM9qk2iRMXqNMfuZzDpi1GGaYQDcTBGJ
GITHUB:
- https://github.com/ksmnetwork
WEBSITE:
- HTTPS://KSM.NETWORK | 72,894 | 72,895 | Other | null | 0 | 0 | 24,563 | 1 | 16,178 | 1 | 3 | Monitoring of one thousand validators program by offline events and faults | {
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16,530 | 1 | 616,340 | 25,238 | 3 | spider-crawler-task-monitor | spider-crawler-task-monitor分布式爬虫全监控平台 | spider-crawler-task-monitor分布式爬虫全监控平台
含百度阿里腾讯抖音快手淘宝天猫拼多多 contract me:https://github.com/zengfr | 2022-07-03 06:59:11 UTC | 2022-07-03 07:05:34 UTC | 0 | spider-crawler-task-monitor分布式爬虫全监控平台
含百度阿里腾讯抖音快手淘宝天猫拼多多 contract me:https://github.com/zengfr | 74,648 | 74,649 | collectd | spider-crawler-task-monitor分布式爬虫全监控平台
含百度阿里腾讯抖音快手淘宝天猫拼多多 contract me:https://github.com/zengfr | 1 | 5 | 25,238 | 1 | 16,530 | 1 | 3 | null | {
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16,752 | 1 | 393,724 | 25,686 | 3 | flowercare | Flowercare | Grafana dashboard for flowercare-exporter: https://github.com/xperimental/flowercare-exporter | 2022-08-21 19:34:33 UTC | 2022-08-21 19:38:26 UTC | 0 | Grafana dashboard for flowercare-exporter:
https://github.com/xperimental/flowercare-exporter | 75,823 | 75,824 | Other | null | 0 | 0 | 25,686 | 1 | 16,752 | 1 | 3 | null | {
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16,525 | 1 | 672,506 | 25,226 | 3 | xservers | Xserver | xserver.a-real dashboard | 2022-06-30 18:20:30 UTC | 2022-06-30 18:40:40 UTC | 0 | ### Basic dashboard xserver.a-real. To collect metrics use [https://github.com/antikuz/xserver_exporter](https://github.com/antikuz/xserver_exporter) | 74,610 | 74,611 | Other | null | 0 | 0 | 25,226 | 1 | 16,525 | 1 | 3 | null | {
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} | 2022-03-02 16:27:03 UTC | 2022-03-02 16:27:36 UTC | 0 | 0 |
16,683 | 1 | 689,835 | 25,537 | 3 | freebsd-hosts-metrics-base | FreeBSD Hosts Metrics | Base | Basic overview of freebsd host metrics, based on node_exporter | 2022-08-05 17:37:35 UTC | 2022-08-05 17:38:11 UTC | 0 | This dashboards gives a basic overview of FreeBSD host metrics.
This is forked from https://grafana.com/grafana/dashboards/10180. | 0 | 0 | null | null | 0 | 0 | 25,537 | 1 | 16,683 | 1 | 3 | Basic overview of freebsd host metrics, based on node_exporter | {
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},
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"title": "FreeBSD Hosts Metrics | Base",
"uid": "22fG7lzVz",
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} | 2022-08-05 17:37:35 UTC | null | 0 | 0 |
17,074 | 1 | 543,931 | 26,198 | 3 | krakend-influxdb-v2 | KrakenD (official) - Influx v2 | Official Grafana dashboard for krakend metrics. Feeds from InfluxDB v2 using Flux queries. https://www.krakend.io/docs/extended-metrics/grafana/ | 2022-09-28 08:08:29 UTC | 2022-09-28 09:03:37 UTC | 0 | This dashboards feeds from an InfluxDB v2 database populated automatically by the KrakenD component `telemetry/influx`.
The dashboard is extensive and offers you metrics like:
- Requests from users to KrakenD
- Requests from KrakenD to your backends
- Response times
- Memory usage and details
- Endpoints and status codes
- Heatmaps
- Open connections
- Throughput
- Distributions, timers, garbage collection and a long etcetera
[Documentation to configure KrakenD](https://www.krakend.io/docs/telemetry/grafana/) | 77,302 | 77,303 | Other | null | 0 | 0 | 26,198 | 1 | 17,074 | 1 | 3 | null | {
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}
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}
],
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},
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}
],
"title": "Proxy response distribution (per $resolution)",
"type": "barchart"
},
{
"datasource": {
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"type": "field"
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{
"condition": "AND",
"key": "host",
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"value": "/^$host$/"
}
]
}
],
"title": "Proxy Timers (ok)",
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},
{
"cards": {},
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},
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}
],
"title": "OK Request HeatMap",
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"showHistogram": false
},
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"xAxis": {
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},
"yAxis": {
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},
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],
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"query": "from(bucket: \"krakend\")\n |> range(start: v.timeRangeStart)\n |> filter(fn: (r) => r._measurement == \"runtime\" and r._field == \"MemStats.HeapAlloc\" and r.host =~ /${host}/)\n |> aggregateWindow(every: ${resolution}, fn: mean)\n |> yield()",
"refId": "B"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUX}"
},
"query": "from(bucket: \"krakend\")\n |> range(start: v.timeRangeStart)\n |> filter(fn: (r) => r._measurement == \"runtime\" and r._field == \"MemStats.HeapInuse\" and r.host =~ /${host}/)\n |> aggregateWindow(every: ${resolution}, fn: mean)\n |> yield()",
"refId": "A"
}
],
"title": "Heap Alloc vs InUse",
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUX}"
},
"fieldConfig": {
"defaults": {
"color": {
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},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 10,
"gradientMode": "none",
"hideFrom": {
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"tooltip": false,
"viz": false
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"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
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},
"showPoints": "never",
"spanNulls": false,
"stacking": {
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"mode": "none"
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"thresholdsStyle": {
"mode": "off"
}
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"color": "green"
},
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"color": "red",
"value": 80
}
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"overrides": []
},
"gridPos": {
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"w": 12,
"x": 0,
"y": 170
},
"id": 42,
"links": [],
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"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
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"tooltip": {
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"sort": "none"
}
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"pluginVersion": "9.1.2",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUX}"
},
"query": "from(bucket: \"krakend\")\n |> range(start: v.timeRangeStart)\n |> filter(fn: (r) => r._measurement == \"runtime\" and r._field == \"MemStats.Lookups\" and r.host =~ /${host}/)\n |> aggregateWindow(every: ${resolution}, fn: sum)\n |> yield()",
"refId": "A"
}
],
"title": "Pointer Lookups",
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUX}"
},
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},
"custom": {
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"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 10,
"gradientMode": "none",
"hideFrom": {
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"tooltip": false,
"viz": false
},
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"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
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},
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"mode": "none"
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"mode": "off"
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},
{
"color": "red",
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}
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"w": 12,
"x": 12,
"y": 170
},
"id": 43,
"links": [],
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"displayMode": "list",
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"showLegend": true
},
"tooltip": {
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"sort": "none"
}
},
"pluginVersion": "9.1.2",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUX}"
},
"query": "from(bucket: \"krakend\")\n |> range(start: v.timeRangeStart)\n |> filter(fn: (r) => r._measurement == \"runtime\" and r._field == \"MemStats.Frees\" and r.host =~ /${host}/)\n |> aggregateWindow(every: ${resolution}, fn: sum)\n |> yield()",
"refId": "A"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUX}"
},
"hide": false,
"query": "from(bucket: \"krakend\")\n |> range(start: v.timeRangeStart)\n |> filter(fn: (r) => r._measurement == \"runtime\" and r._field == \"MemStats.Mallocs\" and r.host =~ /${host}/)\n |> group(columns: [\"host\"], mode: \"by\")\n |> aggregateWindow(every: ${resolution}, fn: sum)\n |> yield()",
"refId": "B"
}
],
"title": "Memory Management",
"type": "timeseries"
}
],
"refresh": "1m",
"schemaVersion": 37,
"style": "dark",
"tags": [],
"templating": {
"list": [
{
"current": {},
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUX}"
},
"definition": "import \"influxdata/influxdb/schema\"\nschema.tagValues(bucket: \"krakend\", tag: \"host\")",
"hide": 0,
"includeAll": true,
"multi": true,
"name": "host",
"options": [],
"query": "import \"influxdata/influxdb/schema\"\nschema.tagValues(bucket: \"krakend\", tag: \"host\")",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"tagValuesQuery": "",
"tagsQuery": "",
"type": "query",
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},
{
"auto": true,
"auto_count": 30,
"auto_min": "1m",
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},
"hide": 0,
"name": "resolution",
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{
"selected": true,
"text": "auto",
"value": "$__auto_interval_resolution"
},
{
"selected": false,
"text": "1m",
"value": "1m"
},
{
"selected": false,
"text": "2m",
"value": "2m"
},
{
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"text": "5m",
"value": "5m"
},
{
"selected": false,
"text": "10m",
"value": "10m"
},
{
"selected": false,
"text": "30m",
"value": "30m"
},
{
"selected": false,
"text": "1h",
"value": "1h"
},
{
"selected": false,
"text": "6h",
"value": "6h"
},
{
"selected": false,
"text": "12h",
"value": "12h"
},
{
"selected": false,
"text": "1d",
"value": "1d"
},
{
"selected": false,
"text": "7d",
"value": "7d"
},
{
"selected": false,
"text": "14d",
"value": "14d"
},
{
"selected": false,
"text": "30d",
"value": "30d"
}
],
"query": "1m,2m,5m,10m,30m,1h,6h,12h,1d,7d,14d,30d",
"queryValue": "",
"refresh": 2,
"skipUrlSync": false,
"type": "interval"
},
{
"current": {
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"text": "InfluxDB",
"value": "influx"
},
"hide": 0,
"name": "DS_INFLUX",
"options": [
{
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"text": "influx",
"value": "influx"
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],
"query": "InfluxDB",
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"type": "textbox"
}
]
},
"time": {
"from": "now-12h",
"to": "now"
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},
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"title": "KrakenD (official) - Influx v2",
"uid": "I9FkyxWikaaassa",
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"weekStart": "",
"description": "Official Grafana dashboard for krakend metrics. Feeds from InfluxDB v2 using Flux queries. https://www.krakend.io/docs/extended-metrics/grafana/"
} | 2022-09-28 08:08:29 UTC | 2022-09-28 09:03:37 UTC | 0 | 0 |
15,423 | 1 | 512,080 | 23,245 | 3 | pm-10 | PM 10 | Air Quality PM 10 | 2021-12-21 00:08:39 UTC | 2021-12-21 00:09:28 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 23,245 | 1 | 15,423 | 1 | 3 | null | {
"__inputs": [
{
"name": "DS_INFLUXDB",
"label": "InfluxDB",
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"type": "datasource",
"pluginId": "influxdb",
"pluginName": "InfluxDB"
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],
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"type": "panel",
"id": "gauge",
"name": "Gauge",
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},
{
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{
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"datasource": "-- Grafana --",
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
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"links": [
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"value": "esp8266-8192504"
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}
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"title": "PM 10",
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],
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"style": "dark",
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},
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"gnetId": 15423,
"description": "Air Quality PM 10"
} | 2021-12-21 00:08:39 UTC | 2021-12-21 00:09:28 UTC | 0 | 0 |
17,151 | 1 | 528,879 | 26,348 | 3 | postgresql-database | PostgreSQL Database | This dashboard works with postgres_exporter for prometheus | 2022-10-10 16:06:39 UTC | 2022-10-10 16:07:01 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 26,348 | 1 | 17,151 | 1 | 3 | This dashboard works with postgres_exporter for prometheus | {
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5,969 | 1 | 68,583 | 8,141 | 259 | transactions | Transactions | Transactions | 2018-05-08 06:00:18 UTC | 2018-05-08 06:11:47 UTC | 0 | Dashboard for JMeter + InfluxDB + Grafana integration | 27,260 | 27,263 | null | null | 0 | 0 | 8,141 | 1 | 5,969 | 1 | 259 | null | {
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} | 2018-05-08 06:00:18 UTC | 2018-05-08 06:11:46 UTC | 0 | 0 |
12,380 | 1 | 387,545 | 17,728 | 259 | pfsense | pfSense FreeBSD/HAProxy | This is a dashboard for zabbix FreeBSD and HAProxy | 2020-05-29 13:51:32 UTC | 2020-05-31 00:11:29 UTC | 0 | You will need zabbix FreeBSD templates, and modified HAProxy templates found in this link: https://github.com/elekgeek/zabbix you are free to use template_app_haproxy_agent-Modified.xml or template_app_haproxy_http-Modified.xml | 53,163 | 53,164 | null | null | 0 | 0 | 17,728 | 1 | 12,380 | 1 | 259 | null | {
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16,984 | 1 | 498,884 | 26,044 | 4 | pixie-namespace-overview | Pixie Namespace Overview | Dashboard includes a service map of the HTTP traffic between the services in the selected namspace, along with the latency, error rate, and throughput per service. It also lists pods available in the namespace. | 2022-09-16 01:07:11 UTC | 2022-09-16 01:21:13 UTC | 0 | To learn how to monitor service performance and infrastructure health using Pixie, see the [tutorial](https://docs.px.dev/tutorials/pixie-101/service-performance/). | 76,935 | 76,936 | Other | null | 0 | 0 | 26,044 | 1 | 16,984 | 1 | 4 | Dashboard includes a service map of the HTTP traffic between the services in the selected namspace, along with the latency, error rate, and throughput per service. It also lists pods available in the namespace. To learn how to monitor service performance and infrastructure health using Pixie, see https://docs.px.dev/tutorials/pixie-101/service-performance/ | {
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"pxlScript": "# Copyright 2018- The Pixie Authors.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n#\n# SPDX-License-Identifier: Apache-2.0\n\n''' Namespace Overview\n\nThis view gives a top-level summary of the pods and services in a given namespace,\nas well as a service map.\n\n'''\nimport px\n\n\n# Flag to filter out requests that come from an unresolvable IP.\nfilter_unresolved_inbound = True\n# Flag to filter out health checks from the data.\nfilter_health_checks = True\n# Flag to filter out ready checks from the data.\nfilter_ready_checks = True\nns_per_ms = 1000 * 1000\nns_per_s = 1000 * ns_per_ms\n# Window size to use on time_ column for bucketing.\nwindow_ns = px.DurationNanos(10 * ns_per_s)\n# Whether or not to include traffic from IPs that don't resolve to a known pod/service.\ninclude_ips = True\n\n# $pixieCluster - work around for grafana to update panel on variable change\nstart_time = __time_from\n\ndef pods_for_namespace(start_time: int, namespace: px.Namespace):\n ''' Gets a list of pods running per node.\n\n Args:\n @start_time Starting time of the data to examine.\n @namespace: The namespace to filter on.\n '''\n df = px.DataFrame(table='process_stats', start_time=start_time)\n df = df[df.ctx['namespace'] == namespace]\n df.pod = df.ctx['pod_name']\n df = df.groupby(['pod']).agg(\n rss=('rss_bytes', px.mean),\n vsize=('vsize_bytes', px.mean),\n )\n\n df.create_time = px.pod_name_to_start_time(df.pod)\n df.status = px.pod_name_to_status(df.pod)\n return df\n\n\ndef services_for_namespace(start_time: int, namespace: px.Namespace):\n ''' Get an overview of the services in the current cluster.\n Args:\n @start_time: The timestamp of data to start at.\n '''\n df = px.DataFrame(table='process_stats', start_time=start_time)\n df = df[df.ctx['namespace'] == namespace]\n df.service = df.ctx['service']\n df = df[df.service != '']\n df.pod = df.ctx['pod']\n df = df.groupby(['service', 'pod']).agg()\n df = df.groupby('service').agg(pod_count=('pod', px.count))\n service_let = inbound_service_let_summary(start_time, namespace)\n joined = df.merge(service_let, how='left', left_on='service', right_on='service',\n suffixes=['', '_x'])\n return joined.drop('service_x')\n\n\ndef inbound_service_let_summary(start_time: int, namespace: px.Namespace):\n ''' Compute a summary of traffic by requesting service, for requests on services in `namespace`.\n\n Args:\n @start_time: The timestamp of data to start at.\n @namespace: The namespace to filter on.\n\n '''\n df = inbound_service_let_helper(start_time, namespace)\n # Filter only to inbound service traffic (server-side).\n # Don't include traffic initiated by this service to an external location.\n df = df[df.trace_role == 2]\n df = df[df.service != '']\n df.responder = df.service\n per_ns_df = df.groupby(['timestamp', 'service']).agg(\n http_throughput_total=('latency', px.count),\n inbound_http_bytes_total=('req_body_size', px.sum),\n outbound_http_bytes_total=('resp_body_size', px.sum)\n )\n per_ns_df.http_request_throughput = per_ns_df.http_throughput_total / window_ns\n per_ns_df.inbound_http_throughput = per_ns_df.inbound_http_bytes_total / window_ns\n per_ns_df.outbound_http_throughput = per_ns_df.outbound_http_bytes_total / window_ns\n per_ns_df = per_ns_df.groupby('service').agg(\n http_request_throughput=('http_request_throughput', px.mean),\n inbound_http_throughput=('inbound_http_throughput', px.mean),\n outbound_http_throughput=('outbound_http_throughput', px.mean)\n )\n quantiles_df = df.groupby('service').agg(\n http_latency=('latency', px.quantiles)\n http_error_rate=('failure', px.mean),\n )\n quantiles_df.http_error_rate = px.Percent(quantiles_df.http_error_rate)\n joined = per_ns_df.merge(quantiles_df, left_on='service',\n right_on='service', how='inner',\n suffixes=['', '_x'])\n return joined[['service', 'http_latency', 'http_request_throughput', 'http_error_rate',\n 'inbound_http_throughput', 'outbound_http_throughput']]\n\n\ndef inbound_service_let_graph(start_time: int, namespace: px.Namespace):\n ''' Compute a summary of traffic by requesting service, for requests on services in `namespace`.\n Similar to `inbound_let_summary` but also breaks down by pod in addition to service.\n\n Args:\n @start_time: The timestamp of data to start at.\n @namespace: The namespace to filter on.\n\n '''\n df = inbound_service_let_helper(start_time, namespace)\n df = df.groupby(['timestamp', 'service', 'remote_addr', 'pod', 'trace_role']).agg(\n latency_quantiles=('latency', px.quantiles),\n error_rate=('failure', px.mean),\n throughput_total=('latency', px.count),\n inbound_bytes_total=('req_body_size', px.sum),\n outbound_bytes_total=('resp_body_size', px.sum)\n )\n\n # Get the traced and remote pod/service/IP information.\n df.traced_pod = df.pod\n df.traced_service = df.service\n df.traced_ip = px.pod_name_to_pod_ip(df.pod)\n df.remote_pod = px.pod_id_to_pod_name(px.ip_to_pod_id(df.remote_addr))\n df.remote_service = px.service_id_to_service_name(px.ip_to_service_id(df.remote_addr))\n df.remote_ip = df.remote_addr\n # If external IPs are excluded in the service graph, then we also exclude any\n # traffic where we don't know the remote pod or remote service name.\n df = df[include_ips or (df.remote_pod != '' or df.remote_service != '')]\n\n # Associate it with Client/Server roles, based on the trace role.\n df.is_server_side_tracing = df.trace_role == 2\n df.responder_pod = px.select(df.is_server_side_tracing, df.traced_pod, df.remote_pod)\n df.requestor_pod = px.select(df.is_server_side_tracing, df.remote_pod, df.traced_pod)\n df.responder_service = px.select(df.is_server_side_tracing, df.traced_service, df.remote_service)\n df.requestor_service = px.select(df.is_server_side_tracing, df.remote_service, df.traced_service)\n df.responder_ip = px.select(df.is_server_side_tracing, df.traced_ip, df.remote_ip)\n df.requestor_ip = px.select(df.is_server_side_tracing, df.remote_ip, df.traced_ip)\n\n # Compute statistics about each edge of the service graph.\n df.latency_p50 = px.DurationNanos(px.floor(px.pluck_float64(df.latency_quantiles, 'p50')))\n df.latency_p90 = px.DurationNanos(px.floor(px.pluck_float64(df.latency_quantiles, 'p90')))\n df.latency_p99 = px.DurationNanos(px.floor(px.pluck_float64(df.latency_quantiles, 'p99')))\n df.request_throughput = df.throughput_total / window_ns\n df.inbound_throughput = df.inbound_bytes_total / window_ns\n df.outbound_throughput = df.outbound_bytes_total / window_ns\n df.error_rate = px.Percent(df.error_rate)\n return df.groupby(['responder_pod', 'requestor_pod', 'responder_service',\n 'requestor_service', 'responder_ip', 'requestor_ip']).agg(\n latency_p50=('latency_p50', px.mean),\n latency_p90=('latency_p90', px.mean),\n latency_p99=('latency_p99', px.mean),\n request_throughput=('request_throughput', px.mean),\n error_rate=('error_rate', px.mean),\n inbound_throughput=('inbound_throughput', px.mean),\n outbound_throughput=('outbound_throughput', px.mean),\n throughput_total=('throughput_total', px.sum)\n )\n\n\ndef inbound_service_let_helper(start_time: int, namespace: px.Namespace):\n ''' Compute the let as a timeseries for requests received or by services in `namespace`.\n\n Args:\n @start_time: The timestamp of data to start at.\n @namespace: The namespace to filter on.\n\n '''\n df = px.DataFrame(table='http_events', start_time=start_time)\n df.service = df.ctx['service']\n df.pod = df.ctx['pod_name']\n df = df[df.ctx['namespace'] == namespace]\n df = df[df.pod != '']\n df.latency = df.latency\n df.timestamp = px.bin(df.time_, window_ns)\n\n df.failure = df.resp_status >= 400\n filter_out_conds = ((df.req_path != '/healthz' or not filter_health_checks) and (\n df.req_path != '/readyz' or not filter_ready_checks)) and (\n df['remote_addr'] != '-' or not filter_unresolved_inbound)\n\n df = df[filter_out_conds]\n return df\n\n \ndef graphnode_sources(start_time: int):\n df = inbound_service_let_graph(start_time, '$namespace')\n # Use Pod name for source node id and title. If pod name is not available,\n # use service name or IP address.\n df.source_svc_ip = px.select(df.requestor_service != '', df.requestor_service, df.requestor_ip)\n df.id = px.select(df.requestor_pod != '', df.requestor_pod, df.source_svc_ip)\n df.title = df.id\n df.arc__success = 0.1\n df.arc__failure = 0.9\n df = df.groupby(['id', 'title']).agg()\n \n return df\n\n\ndef graphnode_targets(start_time: int):\n df = inbound_service_let_graph(start_time, '$namespace')\n # Use Pod name for target node id and title. If pod name is not available,\n # use service name or IP address.\n df.target_svc_ip = px.select(df.responder_service != '', df.responder_service, df.responder_ip)\n df.id = px.select(df.responder_pod != '', df.responder_pod, df.target_svc_ip)\n df.title = df.id\n df = df.groupby(['id', 'title']).agg()\n \n return df\n\n\ndef nodes(start_time: int):\n node_sources = graphnode_sources(start_time)\n node_targets = graphnode_targets(start_time)\n df = node_sources.append(node_targets)\n return df\n\n\ndef edges(start_time: int):\n df = inbound_service_let_graph(start_time, '$namespace')\n df.source_svc_ip = px.select(df.requestor_service != '', df.requestor_service, df.requestor_ip)\n df.source = px.select(df.requestor_pod != '', df.requestor_pod, df.source_svc_ip)\n df.target_svc_ip = px.select(df.responder_service != '', df.responder_service, df.responder_ip)\n df.target = px.select(df.responder_pod != '', df.responder_pod, df.target_svc_ip)\n df.id = df.source + '-' + df.target\n df.mainStat = df.error_rate * 100\n df.secondaryStat = df.latency_p90 / ns_per_ms\n return df[['id', 'source', 'target', 'mainStat', 'secondaryStat']]\n\n\nnodes_table = nodes(start_time)\nedges_table = edges(start_time)\npx.display(nodes_table, \"nodes\")\npx.display(edges_table, \"edges\")"
},
"queryType": "run-script",
"refId": "A"
}
],
"title": "HTTP Service Map",
"type": "nodeGraph"
},
{
"datasource": "${DS_PIXIE_GRAFANA DATASOURCE PLUGIN}",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": "auto",
"displayMode": "auto",
"inspect": false
},
"decimals": 1,
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
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{
"color": "light-orange",
"value": 150
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{
"color": "red",
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},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "pod_count"
},
"properties": [
{
"id": "decimals"
}
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},
{
"matcher": {
"id": "byName",
"options": "http_latency_p99"
},
"properties": [
{
"id": "custom.displayMode",
"value": "color-text"
},
{
"id": "unit",
"value": "ms"
}
]
},
{
"matcher": {
"id": "byName",
"options": "http_error_rate"
},
"properties": [
{
"id": "unit",
"value": "percentunit"
}
]
},
{
"matcher": {
"id": "byName",
"options": "http_request_throughput"
},
"properties": [
{
"id": "unit",
"value": "/s"
}
]
},
{
"matcher": {
"id": "byName",
"options": "inbound_http_throughput"
},
"properties": [
{
"id": "unit",
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},
{
"matcher": {
"id": "byName",
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},
"properties": [
{
"id": "unit",
"value": "KBs"
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},
{
"matcher": {
"id": "byName",
"options": "service"
},
"properties": [
{
"id": "links",
"value": [
{
"targetBlank": false,
"title": "Service",
"url": "/d/qhHtFyCnk/px-service?orgId=1&${pixieCluster:queryparam}&var-pixieService=${__data.fields.service}"
}
]
}
]
}
]
},
"gridPos": {
"h": 13,
"w": 24,
"x": 0,
"y": 13
},
"id": 3,
"options": {
"footer": {
"fields": "",
"reducer": [
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],
"show": false
},
"showHeader": true
},
"pluginVersion": "7.5.1",
"targets": [
{
"datasource": "${DS_PIXIE_GRAFANA DATASOURCE PLUGIN}",
"queryBody": {
"pxlScript": "# Copyright 2018- The Pixie Authors.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n#\n# SPDX-License-Identifier: Apache-2.0\n\n''' Namespace Overview\n\nThis view gives a top-level summary of the pods and services in a given namespace,\nas well as a service map.\n\n'''\nimport px\n\n\n# Flag to filter out requests that come from an unresolvable IP.\nfilter_unresolved_inbound = True\n# Flag to filter out health checks from the data.\nfilter_health_checks = True\n# Flag to filter out ready checks from the data.\nfilter_ready_checks = True\nns_per_ms = 1000 * 1000\nns_per_s = 1000 * ns_per_ms\n# Window size to use on time_ column for bucketing.\nwindow_ns = px.DurationNanos(10 * ns_per_s)\n# Whether or not to include traffic from IPs that don't resolve to a known pod/service.\ninclude_ips = True\n\n# $pixieCluster - work around for grafana to update panel on variable change\nstart_time = __time_from\n\ndef pods_for_namespace(start_time: int, namespace: px.Namespace):\n ''' Gets a list of pods running per node.\n\n Args:\n @start_time Starting time of the data to examine.\n @namespace: The namespace to filter on.\n '''\n df = px.DataFrame(table='process_stats', start_time=start_time)\n df = df[df.ctx['namespace'] == namespace]\n df.pod = df.ctx['pod_name']\n df = df.groupby(['pod']).agg(\n rss=('rss_bytes', px.mean),\n vsize=('vsize_bytes', px.mean),\n )\n\n df.create_time = px.pod_name_to_start_time(df.pod)\n df.status = px.pod_name_to_status(df.pod)\n return df\n\n\ndef services_for_namespace(start_time: int, namespace: px.Namespace):\n ''' Get an overview of the services in the current cluster.\n Args:\n @start_time: The timestamp of data to start at.\n '''\n df = px.DataFrame(table='process_stats', start_time=start_time)\n df = df[df.ctx['namespace'] == namespace]\n df.service = df.ctx['service']\n df = df[df.service != '']\n df.pod = df.ctx['pod']\n df = df.groupby(['service', 'pod']).agg()\n df = df.groupby('service').agg(pod_count=('pod', px.count))\n service_let = inbound_service_let_summary(start_time, namespace)\n joined = df.merge(service_let, how='left', left_on='service', right_on='service',\n suffixes=['', '_x'])\n return joined.drop('service_x')\n\n\ndef inbound_service_let_summary(start_time: int, namespace: px.Namespace):\n ''' Compute a summary of traffic by requesting service, for requests on services in `namespace`.\n\n Args:\n @start_time: The timestamp of data to start at.\n @namespace: The namespace to filter on.\n\n '''\n df = inbound_service_let_helper(start_time, namespace)\n # Filter only to inbound service traffic (server-side).\n # Don't include traffic initiated by this service to an external location.\n df = df[df.trace_role == 2]\n df = df[df.service != '']\n df.responder = df.service\n per_ns_df = df.groupby(['timestamp', 'service']).agg(\n http_throughput_total=('latency', px.count),\n inbound_http_bytes_total=('req_body_size', px.sum),\n outbound_http_bytes_total=('resp_body_size', px.sum)\n )\n per_ns_df.http_request_throughput = per_ns_df.http_throughput_total / window_ns\n per_ns_df.inbound_http_throughput = per_ns_df.inbound_http_bytes_total / window_ns\n per_ns_df.outbound_http_throughput = per_ns_df.outbound_http_bytes_total / window_ns\n per_ns_df = per_ns_df.groupby('service').agg(\n http_request_throughput=('http_request_throughput', px.mean),\n inbound_http_throughput=('inbound_http_throughput', px.mean),\n outbound_http_throughput=('outbound_http_throughput', px.mean)\n )\n quantiles_df = df.groupby('service').agg(\n http_latency=('latency', px.quantiles)\n http_error_rate=('failure', px.mean),\n )\n quantiles_df.http_error_rate = px.Percent(quantiles_df.http_error_rate)\n joined = per_ns_df.merge(quantiles_df, left_on='service',\n right_on='service', how='inner',\n suffixes=['', '_x'])\n return joined[['service', 'http_latency', 'http_request_throughput', 'http_error_rate',\n 'inbound_http_throughput', 'outbound_http_throughput']]\n\n\ndef inbound_service_let_graph(start_time: int, namespace: px.Namespace):\n ''' Compute a summary of traffic by requesting service, for requests on services in `namespace`.\n Similar to `inbound_let_summary` but also breaks down by pod in addition to service.\n\n Args:\n @start_time: The timestamp of data to start at.\n @namespace: The namespace to filter on.\n\n '''\n df = inbound_service_let_helper(start_time, namespace)\n df = df.groupby(['timestamp', 'service', 'remote_addr', 'pod', 'trace_role']).agg(\n latency_quantiles=('latency', px.quantiles),\n error_rate=('failure', px.mean),\n throughput_total=('latency', px.count),\n inbound_bytes_total=('req_body_size', px.sum),\n outbound_bytes_total=('resp_body_size', px.sum)\n )\n\n # Get the traced and remote pod/service/IP information.\n df.traced_pod = df.pod\n df.traced_service = df.service\n df.traced_ip = px.pod_name_to_pod_ip(df.pod)\n df.remote_pod = px.pod_id_to_pod_name(px.ip_to_pod_id(df.remote_addr))\n df.remote_service = px.service_id_to_service_name(px.ip_to_service_id(df.remote_addr))\n df.remote_ip = df.remote_addr\n # If external IPs are excluded in the service graph, then we also exclude any\n # traffic where we don't know the remote pod or remote service name.\n df = df[include_ips or (df.remote_pod != '' or df.remote_service != '')]\n\n # Associate it with Client/Server roles, based on the trace role.\n df.is_server_side_tracing = df.trace_role == 2\n df.responder_pod = px.select(df.is_server_side_tracing, df.traced_pod, df.remote_pod)\n df.requestor_pod = px.select(df.is_server_side_tracing, df.remote_pod, df.traced_pod)\n df.responder_service = px.select(df.is_server_side_tracing, df.traced_service, df.remote_service)\n df.requestor_service = px.select(df.is_server_side_tracing, df.remote_service, df.traced_service)\n df.responder_ip = px.select(df.is_server_side_tracing, df.traced_ip, df.remote_ip)\n df.requestor_ip = px.select(df.is_server_side_tracing, df.remote_ip, df.traced_ip)\n\n # Compute statistics about each edge of the service graph.\n df.latency_p50 = px.DurationNanos(px.floor(px.pluck_float64(df.latency_quantiles, 'p50')))\n df.latency_p90 = px.DurationNanos(px.floor(px.pluck_float64(df.latency_quantiles, 'p90')))\n df.latency_p99 = px.DurationNanos(px.floor(px.pluck_float64(df.latency_quantiles, 'p99')))\n df.request_throughput = df.throughput_total / window_ns\n df.inbound_throughput = df.inbound_bytes_total / window_ns\n df.outbound_throughput = df.outbound_bytes_total / window_ns\n df.error_rate = px.Percent(df.error_rate)\n return df.groupby(['responder_pod', 'requestor_pod', 'responder_service',\n 'requestor_service', 'responder_ip', 'requestor_ip']).agg(\n latency_p50=('latency_p50', px.mean),\n latency_p90=('latency_p90', px.mean),\n latency_p99=('latency_p99', px.mean),\n request_throughput=('request_throughput', px.mean),\n error_rate=('error_rate', px.mean),\n inbound_throughput=('inbound_throughput', px.mean),\n outbound_throughput=('outbound_throughput', px.mean),\n throughput_total=('throughput_total', px.sum)\n )\n\n\ndef inbound_service_let_helper(start_time: int, namespace: px.Namespace):\n ''' Compute the let as a timeseries for requests received or by services in `namespace`.\n\n Args:\n @start_time: The timestamp of data to start at.\n @namespace: The namespace to filter on.\n\n '''\n df = px.DataFrame(table='http_events', start_time=start_time)\n df.service = df.ctx['service']\n df.pod = df.ctx['pod_name']\n df = df[df.ctx['namespace'] == namespace]\n df = df[df.pod != '']\n df.latency = df.latency\n df.timestamp = px.bin(df.time_, window_ns)\n\n df.failure = df.resp_status >= 400\n filter_out_conds = ((df.req_path != '/healthz' or not filter_health_checks) and (\n df.req_path != '/readyz' or not filter_ready_checks)) and (\n df['remote_addr'] != '-' or not filter_unresolved_inbound)\n\n df = df[filter_out_conds]\n return df\n\ndf = services_for_namespace(start_time, '$namespace')\ndf.http_latency_p99 = px.pluck_float64(df.http_latency,'p99') / px.pow(10,6)\ndf.http_request_throughput = df.http_request_throughput * px.pow(10,9)\ndf.inbound_http_throughput = df.inbound_http_throughput * px.pow(10,9) / px.pow(2, 10)\ndf.outbound_http_throughput = df.outbound_http_throughput * px.pow(10,9) / px.pow(2, 10)\n\ndf = df[['service', 'pod_count', 'http_latency_p99', 'http_request_throughput', 'http_error_rate', 'inbound_http_throughput', 'outbound_http_throughput']]\npx.display(df)"
},
"queryType": "run-script",
"refId": "A"
}
],
"title": "Service List",
"type": "table"
},
{
"datasource": "${DS_PIXIE_GRAFANA DATASOURCE PLUGIN}",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": "auto",
"displayMode": "auto",
"inspect": false
},
"decimals": 1,
"mappings": [
{
"options": {
"Failed": {
"color": "red",
"index": 5
},
"Pending": {
"color": "yellow",
"index": 6
},
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"color": "green",
"index": 0
},
"Succeeded": {
"color": "green",
"index": 4
},
"Terminated": {
"color": "red",
"index": 3
},
"Unknown": {
"color": "red",
"index": 7
},
"Waiting": {
"color": "yellow",
"index": 8
},
"false": {
"color": "red",
"index": 2
},
"true": {
"color": "green",
"index": 1
}
},
"type": "value"
}
],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "light-orange",
"value": 150
},
{
"color": "red",
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}
]
},
"unit": "decmbytes"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "phase"
},
"properties": [
{
"id": "custom.width",
"value": 142
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"pxlScript": "# Copyright 2018- The Pixie Authors.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n#\n# SPDX-License-Identifier: Apache-2.0\n\n''' Namespace Overview\n\nThis view gives a top-level summary of the pods and services in a given namespace,\nas well as a service map.\n\n'''\nimport px\n\n\n# Flag to filter out requests that come from an unresolvable IP.\nfilter_unresolved_inbound = True\n# Flag to filter out health checks from the data.\nfilter_health_checks = True\n# Flag to filter out ready checks from the data.\nfilter_ready_checks = True\nns_per_ms = 1000 * 1000\nns_per_s = 1000 * ns_per_ms\n# Window size to use on time_ column for bucketing.\nwindow_ns = px.DurationNanos(10 * ns_per_s)\n# Whether or not to include traffic from IPs that don't resolve to a known pod/service.\ninclude_ips = True\n\n# $pixieCluster - work around for grafana to update panel on variable change\nstart_time = __time_from\n\ndef pods_for_namespace(start_time: int, namespace: px.Namespace):\n ''' Gets a list of pods running per node.\n\n Args:\n @start_time Starting time of the data to examine.\n @namespace: The namespace to filter on.\n '''\n df = px.DataFrame(table='process_stats', start_time=start_time)\n df = df[df.ctx['namespace'] == namespace]\n df.pod = df.ctx['pod_name']\n df = df.groupby(['pod']).agg(\n rss=('rss_bytes', px.mean),\n vsize=('vsize_bytes', px.mean),\n )\n\n df.create_time = px.pod_name_to_start_time(df.pod)\n df.status = px.pod_name_to_status(df.pod)\n return df\n\n\ndef services_for_namespace(start_time: int, namespace: px.Namespace):\n ''' Get an overview of the services in the current cluster.\n Args:\n @start_time: The timestamp of data to start at.\n '''\n df = px.DataFrame(table='process_stats', start_time=start_time)\n df = df[df.ctx['namespace'] == namespace]\n df.service = df.ctx['service']\n df = df[df.service != '']\n df.pod = df.ctx['pod']\n df = df.groupby(['service', 'pod']).agg()\n df = df.groupby('service').agg(pod_count=('pod', px.count))\n service_let = inbound_service_let_summary(start_time, namespace)\n joined = df.merge(service_let, how='left', left_on='service', right_on='service',\n suffixes=['', '_x'])\n return joined.drop('service_x')\n\n\ndef inbound_service_let_summary(start_time: int, namespace: px.Namespace):\n ''' Compute a summary of traffic by requesting service, for requests on services in `namespace`.\n\n Args:\n @start_time: The timestamp of data to start at.\n @namespace: The namespace to filter on.\n\n '''\n df = inbound_service_let_helper(start_time, namespace)\n # Filter only to inbound service traffic (server-side).\n # Don't include traffic initiated by this service to an external location.\n df = df[df.trace_role == 2]\n df = df[df.service != '']\n df.responder = df.service\n per_ns_df = df.groupby(['timestamp', 'service']).agg(\n http_throughput_total=('latency', px.count),\n inbound_http_bytes_total=('req_body_size', px.sum),\n outbound_http_bytes_total=('resp_body_size', px.sum)\n )\n per_ns_df.http_request_throughput = per_ns_df.http_throughput_total / window_ns\n per_ns_df.inbound_http_throughput = per_ns_df.inbound_http_bytes_total / window_ns\n per_ns_df.outbound_http_throughput = per_ns_df.outbound_http_bytes_total / window_ns\n per_ns_df = per_ns_df.groupby('service').agg(\n http_request_throughput=('http_request_throughput', px.mean),\n inbound_http_throughput=('inbound_http_throughput', px.mean),\n outbound_http_throughput=('outbound_http_throughput', px.mean)\n )\n quantiles_df = df.groupby('service').agg(\n http_latency=('latency', px.quantiles)\n http_error_rate=('failure', px.mean),\n )\n quantiles_df.http_error_rate = px.Percent(quantiles_df.http_error_rate)\n joined = per_ns_df.merge(quantiles_df, left_on='service',\n right_on='service', how='inner',\n suffixes=['', '_x'])\n return joined[['service', 'http_latency', 'http_request_throughput', 'http_error_rate',\n 'inbound_http_throughput', 'outbound_http_throughput']]\n\n\ndef inbound_service_let_graph(start_time: int, namespace: px.Namespace):\n ''' Compute a summary of traffic by requesting service, for requests on services in `namespace`.\n Similar to `inbound_let_summary` but also breaks down by pod in addition to service.\n\n Args:\n @start_time: The timestamp of data to start at.\n @namespace: The namespace to filter on.\n\n '''\n df = inbound_service_let_helper(start_time, namespace)\n df = df.groupby(['timestamp', 'service', 'remote_addr', 'pod', 'trace_role']).agg(\n latency_quantiles=('latency', px.quantiles),\n error_rate=('failure', px.mean),\n throughput_total=('latency', px.count),\n inbound_bytes_total=('req_body_size', px.sum),\n outbound_bytes_total=('resp_body_size', px.sum)\n )\n\n # Get the traced and remote pod/service/IP information.\n df.traced_pod = df.pod\n df.traced_service = df.service\n df.traced_ip = px.pod_name_to_pod_ip(df.pod)\n df.remote_pod = px.pod_id_to_pod_name(px.ip_to_pod_id(df.remote_addr))\n df.remote_service = px.service_id_to_service_name(px.ip_to_service_id(df.remote_addr))\n df.remote_ip = df.remote_addr\n # If external IPs are excluded in the service graph, then we also exclude any\n # traffic where we don't know the remote pod or remote service name.\n df = df[include_ips or (df.remote_pod != '' or df.remote_service != '')]\n\n # Associate it with Client/Server roles, based on the trace role.\n df.is_server_side_tracing = df.trace_role == 2\n df.responder_pod = px.select(df.is_server_side_tracing, df.traced_pod, df.remote_pod)\n df.requestor_pod = px.select(df.is_server_side_tracing, df.remote_pod, df.traced_pod)\n df.responder_service = px.select(df.is_server_side_tracing, df.traced_service, df.remote_service)\n df.requestor_service = px.select(df.is_server_side_tracing, df.remote_service, df.traced_service)\n df.responder_ip = px.select(df.is_server_side_tracing, df.traced_ip, df.remote_ip)\n df.requestor_ip = px.select(df.is_server_side_tracing, df.remote_ip, df.traced_ip)\n\n # Compute statistics about each edge of the service graph.\n df.latency_p50 = px.DurationNanos(px.floor(px.pluck_float64(df.latency_quantiles, 'p50')))\n df.latency_p90 = px.DurationNanos(px.floor(px.pluck_float64(df.latency_quantiles, 'p90')))\n df.latency_p99 = px.DurationNanos(px.floor(px.pluck_float64(df.latency_quantiles, 'p99')))\n df.request_throughput = df.throughput_total / window_ns\n df.inbound_throughput = df.inbound_bytes_total / window_ns\n df.outbound_throughput = df.outbound_bytes_total / window_ns\n df.error_rate = px.Percent(df.error_rate)\n return df.groupby(['responder_pod', 'requestor_pod', 'responder_service',\n 'requestor_service', 'responder_ip', 'requestor_ip']).agg(\n latency_p50=('latency_p50', px.mean),\n latency_p90=('latency_p90', px.mean),\n latency_p99=('latency_p99', px.mean),\n request_throughput=('request_throughput', px.mean),\n error_rate=('error_rate', px.mean),\n inbound_throughput=('inbound_throughput', px.mean),\n outbound_throughput=('outbound_throughput', px.mean),\n throughput_total=('throughput_total', px.sum)\n )\n\n\ndef inbound_service_let_helper(start_time: int, namespace: px.Namespace):\n ''' Compute the let as a timeseries for requests received or by services in `namespace`.\n\n Args:\n @start_time: The timestamp of data to start at.\n @namespace: The namespace to filter on.\n\n '''\n df = px.DataFrame(table='http_events', start_time=start_time)\n df.service = df.ctx['service']\n df.pod = df.ctx['pod_name']\n df = df[df.ctx['namespace'] == namespace]\n df = df[df.pod != '']\n df.latency = df.latency\n df.timestamp = px.bin(df.time_, window_ns)\n\n df.failure = df.resp_status >= 400\n filter_out_conds = ((df.req_path != '/healthz' or not filter_health_checks) and (\n df.req_path != '/readyz' or not filter_ready_checks)) and (\n df['remote_addr'] != '-' or not filter_unresolved_inbound)\n\n df = df[filter_out_conds]\n return df\n \noutput = pods_for_namespace(start_time, '$namespace')\noutput.rss = output.rss / px.pow(2,20)\noutput.vsize = output.vsize / px.pow(2,20)\n\noutput.phase = px.pluck(output.status, \"phase\") \noutput.ready = px.pluck(output.status, \"ready\") \n\noutput = output[['pod', 'phase', 'ready', 'rss', 'vsize', 'create_time']]\npx.display(output)"
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13,424 | 1 | 408,323 | 19,573 | 4 | edge-cluster-8 | edge_cluster_8 | Cloud Monitoring Service | 2020-11-19 05:30:59 UTC | 2020-11-19 05:31:02 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 19,573 | 1 | 13,424 | 1 | 4 | Cloud Monitoring Service | {
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} | 2020-11-19 05:30:59 UTC | null | 0 | 0 |
16,893 | 1 | 706,571 | 25,915 | 4 | cloud-cross-environments-management | Cloud Cross-environments Management | Dashboard to be used on multiple cloud environments | 2022-09-08 17:06:26 UTC | 2022-09-13 15:13:00 UTC | 0 | This dashboard was developed as part of a Master Thesis to handle the complexity of multiple and diverse environments.
I tried as much to present data simply and clearly. For practical analysis and troubleshooting, data is presented in a hierarchy view, showing a systems summary and then detailed for each resource.
It is advisable to complement with alert rules definition on Prometheus level.
| 76,604 | 76,605 | null | null | 0 | 0 | 25,915 | 1 | 16,893 | 1 | 4 | Dashboard to be used on multiple cloud environments | {
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} | 2022-09-08 17:06:26 UTC | 2022-09-08 17:09:22 UTC | 0 | 0 |
16,585 | 1 | 679,093 | 25,336 | 4 | argoworkflows | ArgoWorkflows | sample dashboard | 2022-07-15 21:32:34 UTC | 2022-07-15 21:33:01 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 25,336 | 1 | 16,585 | 1 | 4 | null | {
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} | 2022-07-15 21:32:34 UTC | 2022-07-15 21:33:01 UTC | 0 | 0 |
16,331 | 1 | 142,910 | 24,866 | 4 | controle-de-consumo-da-franquia-minutagem | Controle de consumo da franquia - Minutagem | Painel para controle de consumo de minutos de chamadas realizadas.
O painel considera uma franquia de minutos que pode ser definida nas variáveis e selecionada na lista para efeito do calculo dos minutos excedentes e sua respectiva cobraça, que usa variáveis com os valores das tarifas. | 2022-05-26 17:16:41 UTC | 2022-05-26 17:33:51 UTC | 0 | null | 73,599 | 73,600 | null | null | 0 | 0 | 24,866 | 1 | 16,331 | 1 | 4 | null | {
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} | 2022-10-02 09:10:12 UTC | 2022-10-02 09:20:35 UTC | 0 | 0 |