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} | 2022-04-07 09:06:41 UTC | 2022-04-07 09:07:20 UTC | 0 | 0 |
12,834 | 1 | 399,888 | 18,527 | 11 | fydp-monitor-dashboard | FYDP Monitor Dashboard | Shows data collected from vertical farm | 2020-08-16 20:53:47 UTC | 2020-08-16 20:54:57 UTC | 0 | Dashboard for Team 1 FYDP | 0 | 0 | null | null | 0 | 0 | 18,527 | 1 | 12,834 | 1 | 11 | null | {
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} | 2021-12-23 03:12:44 UTC | 2021-12-23 03:14:49 UTC | 0 | 0 |
17,003 | 1 | 679,963 | 26,071 | 11 | stromverbrauch | Power | A way to visualize your data from your electricity meter | 2022-09-16 20:30:07 UTC | 2022-09-16 20:44:47 UTC | 0 | A Dashboard visualizing the HT and NT Values from your electricity meter. Board is getting the data from influxdb1.8. All panels are stored only with the two electricity meter values NT and HT so it's quite easy to adjust. | 76,991 | 76,992 | Other | null | 0 | 0 | 26,071 | 1 | 17,003 | 1 | 11 | Visualisierung des Stromverbrauches | {
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} | 2022-09-16 20:30:07 UTC | 2022-09-16 20:44:47 UTC | 0 | 0 |
16,117 | 1 | 193,429 | 24,453 | 12 | jobs-view | Jobs View - Aerospike Monitoring Stack | Jobs View dashboard for Aerospike Monitoring Stack | 2022-04-17 09:51:56 UTC | 2022-04-17 16:36:44 UTC | 0 | Jobs View dashboard for [Aerospike Monitoring Stack](https://docs.aerospike.com/monitorstack)
Aerospike's Monitoring Stack extracts operational metrics from Aerospike database clusters for visualization and analysis in Prometheus and Grafana.
See [Aerospike Monitoring Stack Architecture](https://docs.aerospike.com/monitorstack/new/components-of-monitoring-stack) and [Aerospike Monitoring Stack Installation](https://docs.aerospike.com/monitorstack/new/installing-components) for more details | 72,657 | 72,658 | Other | null | 0 | 0 | 24,453 | 1 | 16,117 | 1 | 12 | null | {
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],
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{
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],
"title": "Records Throttled",
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},
{
"datasource": "${DS_AEROSPIKE_PROMETHEUS}",
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],
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},
{
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],
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},
{
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{
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{
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"definition": "label_values(aerospike_jobs_priority{job=\"aerospike\", cluster_name=~\"$cluster|$^\", ns=~\"$namespace|$^\", set=~\"$set|$^\" },trid)",
"description": null,
"error": null,
"hide": 0,
"includeAll": false,
"label": "Job ID",
"multi": false,
"name": "job_id",
"options": [],
"query": {
"query": "label_values(aerospike_jobs_priority{job=\"aerospike\", cluster_name=~\"$cluster|$^\", ns=~\"$namespace|$^\", set=~\"$set|$^\" },trid)",
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]
},
"time": {
"from": "now-6h",
"to": "now"
},
"timepicker": {},
"timezone": "",
"title": "Jobs View - Aerospike Monitoring Stack",
"uid": "1gneHNQoL",
"version": 22,
"description": "Jobs View dashboard for Aerospike Monitoring Stack"
} | 2022-04-17 09:51:56 UTC | 2022-04-17 16:36:44 UTC | 0 | 0 |
13,528 | 1 | 253,647 | 19,761 | 12 | caringo-swarm-gateway-v7 | Caringo Swarm Gateway v7 | Example dashboard to visualize the metrics for Caringo Swarm Gateway v7.1.0 and higher | 2020-12-08 13:05:12 UTC | 2020-12-08 13:06:40 UTC | 0 | This dashboard is an example of how to visualize metrics provided by Caringo Swarm Content Gateway v7.1.0 and above. Note: some statistics will only show a value once you have done some S3 operations against the gateway.
If you have any questions don't hesitate to ask us.
The Caringo Team.
| 58,747 | 58,748 | Other | null | 0 | 0 | 19,761 | 1 | 13,528 | 1 | 12 | null | {
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} | 2020-12-08 13:05:12 UTC | 2020-12-08 13:06:39 UTC | 0 | 0 |
13,756 | 1 | 228,208 | 20,103 | 12 | codequality-by-metrix-3-file | CodeQuality by Metrix++ 3:File | Visualize code quality metrics LoC (Lines of Code), CC (Cyclomatic Complexity) and resulting CCD (Cyclomatic Complexity Density) collected for your codebase by Metrix++ in Prometheus | 2021-01-20 20:33:10 UTC | 2021-01-20 21:01:51 UTC | 0 | This dashboard allows you to visualize code quality metrics
1. LoC (Lines of Code)
1. CC (Cyclomatic Complexity)
1. and the resulting CCD (Cyclomatic Complexity Density), as division of CD by LoC
(all 3 horizontally in successive columns) collected for your codebase **files** (C/C++, C# and Java) by [Metrix++](https://metrixplusplus.github.io/home.html) in Prometheus.
For each metric, 3 graphs are rendered vertically showing successively:
1. total absolute for the current selection (codebase **files**)
1. distribution of the total 1. over the next level items (**regions**, i.e. methods, structures...)
1. deviation over the time of the total 1. by next level items (**regions**)
It is part of a set of 3 dashboards, linked for the sake of drilldown analysis:
1. _[CodeQuality by Metrix++ 1:Overall](https://grafana.com/grafana/dashboards/13754)_
1. _[CodeQuality by Metrix++ 2:Folder](https://grafana.com/grafana/dashboards/13755)_
1. **_[CodeQuality by Metrix++ 3:File](https://grafana.com/grafana/dashboards/13756)_**
**_[CodeQuality by Metrix++ 3:File](https://grafana.com/grafana/dashboards/13756)_** is designed as **last** dashboard used during analysis, showing metrics at codebase **file** level (selection) up to (scolling down to) the next level information about **regions** (i.e. methods, structures...).
First it requires you to put [Metrix++](https://metrixplusplus.github.io/home.html) in place for your codebase (C/C++, C# and Java), (see also its [github repo](https://github.com/metrixplusplus/metrixplusplus)), and to setup a Prometheus instance scraping the output of the following commands:
- `python metrix++.py view --ll=ERROR --format=prometheus`
- `python metrix++.py view --ll=ERROR --format=prometheus -- /home/mycodebase`
- `python metrix++.py view --ll=ERROR --format=prometheus -- /home/mycodebase/src`
- `python metrix++.py view --ll=ERROR --format=prometheus -- /home/mycodebase/src/main`
- `python metrix++.py view --ll=ERROR --format=prometheus -- /home/mycodebase/src/main/java`
- `python metrix++.py view --ll=ERROR --format=prometheus -- /home/mycodebase/src/main/java/Foo.java` | 59,782 | 59,783 | Other | null | 0 | 0 | 20,103 | 1 | 13,756 | 1 | 12 | null | {
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13,218 | 1 | 371,814 | 19,190 | 12 | sn-snmp | SELKS SN-SNMP | Dashboard SELKS for Grafana
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And find more dashboard on the github repo
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13,735 | 1 | 325,683 | 20,075 | 12 | seneye | Seneye-exporter | Graph aquarium ph, temperature, ammonia, and alerts from the seneye probe, via the [seneye-exporter](https://github.com/jcodybaker/seneye-exporter). | 2021-01-18 23:21:59 UTC | 2021-01-18 23:26:28 UTC | 0 | Graph aquarium ph, temperature, ammonia, and alerts from the seneye probe, via the [seneye-exporter](https://github.com/jcodybaker/seneye-exporter).
NOTE: This software is NOT authorized or endorsed by "seneye ltd", the maker of Seneye devices. | 0 | 0 | Other | null | 0 | 0 | 20,075 | 1 | 13,735 | 1 | 12 | null | {
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13,226 | 1 | 371,814 | 19,198 | 12 | sn-trafficid | SELKS SN-TrafficID | Dashboard SELKS for Grafana
SN-TrafficID
https://github.com/b4b857f6ee/selks_grafana_dashboard | 2020-10-21 11:44:51 UTC | 2020-10-21 11:45:14 UTC | 0 | Follow the information here : https://github.com/b4b857f6ee/selks_grafana_dashboard
And find more dashboard on the github repo
Needed : https://www.stamus-networks.com/scirius-open-source | 57,279 | 57,280 | null | null | 0 | 0 | 19,198 | 1 | 13,226 | 1 | 12 | null | {
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} | 2020-10-21 11:44:51 UTC | 2020-10-21 11:45:13 UTC | 0 | 0 |
13,197 | 1 | 427,304 | 19,169 | 12 | srcds-dashboard | SRCDS Dashboard | Displays metrics collected using srcds_exporter. | 2020-10-18 11:36:59 UTC | 2020-10-18 11:37:13 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 19,169 | 1 | 13,197 | 1 | 12 | Displays metrics collected using srcds_exporter. | {
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14,546 | 1 | 506,417 | 21,529 | 12 | csgo-counter-strike-global-offensive | CSGO (Counter-Strike: Global Offensive) | Dashboard for the CSGO Exporter | 2021-06-05 15:29:35 UTC | 2021-06-05 15:33:30 UTC | 0 | Install the [CS:GO Exporter](https://github.com/kinduff/csgo_exporter) for Prometheus as explained in the README of the linked Github repo. Configure the Prometheus or any promQL enabled datasource which scrapes this exporter in the dashboard settings. | 63,833 | 63,834 | Other | null | 0 | 0 | 21,529 | 1 | 14,546 | 1 | 12 | null | {
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"title": "CSGO (Counter-Strike: Global Offensive)",
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} | 2021-06-05 15:29:35 UTC | 2021-06-05 15:33:28 UTC | 0 | 0 |
16,569 | 1 | 528,806 | 25,312 | 12 | azure-asset-inventory | Azure Asset Inventory | A high level view of all your Azure resources across all accounts accounts and regions. | 2022-07-13 08:22:27 UTC | 2023-02-15 12:16:31 UTC | 0 | # Azure Cloud Asset Inventory
This dashboard provides a high level view of all your resources across all accounts accounts and regions. This works with PostgreSQL as the storage layer and CloudQuery (https://github.com/cloudquery/cloudquery) as the ingestion layer.
## How to Install
1. Install [CloudQuery](https://www.cloudquery.io/docs/quickstart/) and fetch your resources
2. [Follow the instructions for installing the view and dashboard here](https://github.com/cloudquery/cloudquery/tree/main/plugins/source/azure/dashboards)
## GitHub
Feel free to contribute or open an [issue](https://github.com/cloudquery/cloudquery) | 74,885 | 74,886 | null | null | 0 | 0 | 25,312 | 1 | 16,569 | 1 | 12 | null | {
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{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "9.0.2"
},
{
"type": "panel",
"id": "piechart",
"name": "Pie chart",
"version": ""
},
{
"type": "datasource",
"id": "postgres",
"name": "PostgreSQL",
"version": "1.0.0"
},
{
"type": "panel",
"id": "stat",
"name": "Stat",
"version": ""
},
{
"type": "panel",
"id": "table",
"name": "Table",
"version": ""
}
],
"annotations": {
"list": [
{
"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,
"iteration": 1657121653142,
"links": [],
"liveNow": false,
"panels": [
{
"collapsed": false,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 0
},
"id": 2,
"panels": [],
"title": "CloudQuery",
"type": "row"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "This panel will show OK if the aws_resources view has been created and is accessible to the current Postgres user. See https://github.com/cloudquery/dashboards#aws for more information.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": [
{
"matcher": {
"id": "byFrameRefID",
"options": "A"
},
"properties": [
{
"id": "mappings",
"value": [
{
"options": {
"0": {
"index": 1,
"text": "Not OK"
},
"1": {
"index": 0,
"text": "OK"
}
},
"type": "value"
}
]
},
{
"id": "thresholds",
"value": {
"mode": "absolute",
"steps": [
{
"color": "red",
"value": null
},
{
"color": "green",
"value": 1
}
]
}
}
]
}
]
},
"gridPos": {
"h": 2,
"w": 7,
"x": 0,
"y": 1
},
"id": 4,
"options": {
"colorMode": "value",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "9.0.2",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT count(*) FROM information_schema.tables\n WHERE table_schema = 'public'\n AND table_name = 'azure_resources'",
"refId": "A",
"select": [
[
{
"params": [
"provisioned_throughput_in_mibps"
],
"type": "column"
}
]
],
"table": "aws_efs_filesystems",
"timeColumn": "creation_time",
"timeColumnType": "timestamp",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Data Source",
"type": "stat"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "Time since the most recent CloudQuery fetch happened.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"decimals": 0,
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
},
"unit": "dateTimeFromNow"
},
"overrides": []
},
"gridPos": {
"h": 2,
"w": 17,
"x": 7,
"y": 1
},
"id": 8,
"options": {
"colorMode": "value",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "/^Time$/",
"values": false
},
"text": {},
"textMode": "value"
},
"pluginVersion": "9.0.2",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "time_series",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "select fetch_date as time, 1 from azure_resources order by fetch_date desc limit 1;",
"refId": "A",
"select": [
[
{
"params": [
"provisioned_throughput_in_mibps"
],
"type": "column"
}
]
],
"table": "aws_efs_filesystems",
"timeColumn": "creation_time",
"timeColumnType": "timestamp",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Last Fetch",
"type": "stat"
},
{
"collapsed": false,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 3
},
"id": 6,
"panels": [],
"title": "Resources",
"type": "row"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 7,
"x": 0,
"y": 4
},
"id": 10,
"options": {
"colorMode": "value",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "9.0.2",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "select count(*) from azure_resources where subscription_id in (${subscription_ids}) AND location in (${locations}) and cq_table in (${cq_tables});",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Total Resources",
"type": "stat"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
}
},
"mappings": []
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 8,
"x": 7,
"y": 4
},
"id": 12,
"options": {
"displayLabels": [
"percent"
],
"legend": {
"displayMode": "list",
"placement": "bottom"
},
"pieType": "pie",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": true
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"pluginVersion": "8.4.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "select coalesce(azss.display_name, ar.subscription_id) as name, count(*) from azure_resources ar\nleft join azure_subscription_subscriptions azss on azss.subscription_id = ar.subscription_id\nwhere \n location in (${locations}) \n and cq_table in (${cq_tables}) \ngroup by coalesce(azss.display_name, ar.subscription_id)\norder by count desc;",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Total Resources by Subscription",
"type": "piechart"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"align": "auto",
"displayMode": "auto",
"inspect": false
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 9,
"w": 9,
"x": 15,
"y": 4
},
"id": 20,
"options": {
"footer": {
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true,
"sortBy": [
{
"desc": true,
"displayName": "count"
}
]
},
"pluginVersion": "9.0.2",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "select cq_table, count(*) \nfrom azure_resources \nwhere subscription_id in (${subscription_ids})\nand cq_table in (${cq_tables}) \nand location in (${locations}) \ngroup by cq_table order by count desc;",
"refId": "A",
"select": [
[
{
"params": [
"data_transfer_progress_current_rate_in_mega_bytes_per_second"
],
"type": "column"
}
]
],
"table": "aws_redshift_clusters",
"timeColumn": "cluster_create_time",
"timeColumnType": "timestamp",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Count by Resource Type",
"type": "table"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"description": "Excludes resources with no specified location",
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 12,
"w": 12,
"x": 0,
"y": 13
},
"id": 16,
"options": {
"basemap": {
"config": {},
"name": "Layer 0",
"type": "default"
},
"controls": {
"mouseWheelZoom": true,
"showAttribution": true,
"showDebug": false,
"showScale": false,
"showZoom": true
},
"layers": [
{
"config": {
"blur": 15,
"radius": 13,
"weight": {
"field": "count",
"fixed": 1,
"max": 1,
"min": 0
}
},
"location": {
"latitude": "latitude",
"longitude": "longitude",
"mode": "coords"
},
"name": "Location",
"tooltip": true,
"type": "heatmap"
}
],
"tooltip": {
"mode": "details"
},
"view": {
"id": "zero",
"lat": 0,
"lon": 0,
"zoom": 1
}
},
"pluginVersion": "9.0.2",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "select azal.name, latitude::float, longitude::float, count(*) from azure_resources azr\nleft join azure_account_locations azal on azal.name = azr.location\nwhere azr.subscription_id in (${subscription_ids}) \nand azr.location != 'unavailable'\nand cq_table in (${cq_tables}) \ngroup by azal.name, latitude, longitude order by count desc;",
"refId": "A",
"select": [
[
{
"params": [
"provisioned_throughput_in_mibps"
],
"type": "column"
}
]
],
"table": "aws_efs_filesystems",
"timeColumn": "creation_time",
"timeColumnType": "timestamp",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Resource Map",
"type": "geomap"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-BlYlRd"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"axisSoftMin": 0,
"fillOpacity": 80,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineWidth": 1,
"scaleDistribution": {
"type": "linear"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 12,
"w": 12,
"x": 12,
"y": 13
},
"id": 14,
"options": {
"barRadius": 0,
"barWidth": 0.97,
"groupWidth": 0.7,
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"orientation": "auto",
"showValue": "auto",
"stacking": "none",
"tooltip": {
"mode": "single",
"sort": "none"
},
"xTickLabelRotation": -90,
"xTickLabelSpacing": 0
},
"pluginVersion": "8.4.7",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "select location, count(*) from azure_resources where subscription_id in (${subscription_ids}) and cq_table in (${cq_tables}) group by location order by count desc;",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Resources by Location",
"type": "barchart"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": "auto",
"displayMode": "auto",
"inspect": false
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "cq_meta"
},
"properties": [
{
"id": "custom.width",
"value": 392
}
]
},
{
"matcher": {
"id": "byName",
"options": "cq_table"
},
"properties": [
{
"id": "custom.width",
"value": 326
}
]
},
{
"matcher": {
"id": "byName",
"options": "account_id"
},
"properties": [
{
"id": "custom.width",
"value": 188
}
]
},
{
"matcher": {
"id": "byName",
"options": "region"
},
"properties": [
{
"id": "custom.width",
"value": 164
}
]
},
{
"matcher": {
"id": "byName",
"options": "fetch_date"
},
"properties": [
{
"id": "custom.width",
"value": 270
}
]
},
{
"matcher": {
"id": "byName",
"options": "cq_id"
},
"properties": [
{
"id": "custom.width",
"value": 293
}
]
}
]
},
"gridPos": {
"h": 12,
"w": 24,
"x": 0,
"y": 25
},
"id": 18,
"options": {
"footer": {
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true,
"sortBy": []
},
"pluginVersion": "9.0.2",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "select cq_id, cq_table, subscription_id, location, id, fetch_date from azure_resources \nwhere subscription_id in (${subscription_ids}) \nand location in (${locations})\nand cq_table in (${cq_tables});",
"refId": "A",
"select": [
[
{
"params": [
"value"
],
"type": "column"
}
]
],
"timeColumn": "time",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Azure Resources",
"type": "table"
}
],
"schemaVersion": 36,
"style": "dark",
"tags": [],
"templating": {
"list": [
{
"current": {},
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"definition": "select distinct(subscription_id) from azure_resources",
"hide": 0,
"includeAll": true,
"multi": true,
"name": "subscription_ids",
"options": [],
"query": "select distinct(subscription_id) from azure_resources",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
},
{
"current": {},
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"definition": "select distinct(cq_table) from azure_resources;",
"hide": 0,
"includeAll": true,
"multi": true,
"name": "cq_tables",
"options": [],
"query": "select distinct(cq_table) from azure_resources;",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
},
{
"allValue": "",
"current": {},
"datasource": {
"type": "postgres",
"uid": "${DS_POSTGRESQL}"
},
"definition": "select distinct(location) from azure_resources;",
"hide": 0,
"includeAll": true,
"multi": true,
"name": "locations",
"options": [],
"query": "select distinct(location) from azure_resources;",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
}
]
},
"time": {
"from": "now-6h",
"to": "now"
},
"timepicker": {},
"timezone": "",
"title": "Azure Asset Inventory",
"uid": "ji8R8567z",
"version": 5,
"weekStart": "",
"gnetId": 16569,
"description": "A high level view of all your Azure resources across all accounts accounts and regions."
} | 2022-07-13 08:22:27 UTC | 2022-07-13 08:23:50 UTC | 0 | 0 |
13,246 | 1 | 423,572 | 19,230 | 13 | rare-freerouter-bridge-mac-packet | RARE/freeRouter - bridge MAC packet | Display Bridge MAC packet metrics | 2020-10-22 09:32:04 UTC | 2020-10-22 09:37:35 UTC | 0 | `scope:local` to freeRouter node
freeRouter Prometheus configuration: (copy & paste in freeRouter CLI)
```
metric brmac command sho bridge 1 | beg addr
metric brmac prepend br_mac_
metric brmac name 0 mac=
metric brmac addname 1 * ifc=
metric brmac replace \. _
metric brmac column 3 name pack_tx
metric brmac column 3 split + typ="sw" typ="hw"
metric brmac column 4 name pack_rx
metric brmac column 4 split + typ="sw" typ="hw"
metric brmac column 5 name pack_dr
metric brmac column 5 split + typ="sw" typ="hw"
metric brmac column 6 name byte_tx
metric brmac column 6 split + typ="sw" typ="hw"
metric brmac column 7 name byte_rx
metric brmac column 7 split + typ="sw" typ="hw"
metric brmac column 8 name byte_dr
metric brmac column 8 split + typ="sw" typ="hw"
``` | 57,386 | 57,387 | Other | null | 0 | 0 | 19,230 | 1 | 13,246 | 1 | 13 | Display Bridge MAC packet metrics | {
"__inputs": [
{
"name": "DS_MP-LS.PROMETHEUS",
"label": "mp-ls.prometheus",
"description": "",
"type": "datasource",
"pluginId": "prometheus",
"pluginName": "Prometheus"
}
],
"__requires": [
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "7.2.0"
},
{
"type": "panel",
"id": "graph",
"name": "Graph",
"version": ""
},
{
"type": "datasource",
"id": "prometheus",
"name": "Prometheus",
"version": "1.0.0"
}
],
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": "-- Grafana --",
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"type": "dashboard"
}
]
},
"description": "Display Bridge MAC packet metrics",
"editable": true,
"gnetId": 13246,
"graphTooltip": 0,
"id": null,
"iteration": 1603357273158,
"links": [],
"panels": [
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_MP-LS.PROMETHEUS}",
"description": "",
"fieldConfig": {
"defaults": {
"custom": {},
"links": [],
"unit": "pps"
},
"overrides": []
},
"fill": 1,
"fillGradient": 0,
"gridPos": {
"h": 9,
"w": 24,
"x": 0,
"y": 0
},
"hiddenSeries": false,
"id": 2,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": true,
"min": true,
"rightSide": false,
"show": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"maxPerRow": 3,
"nullPointMode": "null",
"options": {
"alertThreshold": true
},
"percentage": false,
"pluginVersion": "7.2.0",
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16,753 | 1 | 107,459 | 25,687 | 13 | dashboard-trend-micro-apexone-general-old | 106 - Dashboard Trend Micro Apex One - General | [TREND MICRO OPEX ONE - CYBERSECURITY BEST PRACTICES - GENERAL DASHBOARD] | 2022-08-21 23:02:24 UTC | 2022-08-22 00:48:09 UTC | 0 | [TREND MICRO OPEX ONE - CYBERSECURITY BEST PRACTICES - GENERAL DASHBOARD]
Você leu esse título e bateu aquele frio na espinha, não é?
Eu entendo muito bem o quanto essa preocupação ronda a sua empresa ou a sua infraestrutura.
Agora, vamos voltar um passo atrás e entender como juntos podemos reduzir a exposição da sua empresa aos ataques cibernéticos analisando em real timer o que esta aocntecendo na sua empresa?
Como podemos aumentar exponencialmente a inteligência do Trend Micro OpexOne, combinando o poder do monitoramento Zabbix com a versatilidade das dashboards Grafana; na área de segurança da informação. Identifique ameaças e vulnerabilidades rapidamente com esta poderosa integração de recursos
Você precisa fazer sua escolha. E você precisa fazer AGORA.
É isso que vai determinar se você vai permanecer onde está, ou se fará parte da história que seu dashboard vai contar quando você monitorar a solução e apresentar os dados.
Vamos ser claros, práticos e objetivos ok.
Estou disponibilizando algumas vagas para inicio do curso de monitoramento do trend micro Apex One.
lembrando que esse valor e promocional com vagas limitadas!!!
01- Monitoramento da solução trend micro.
02- Instalação e configuração do Zabbix 6.2
03- Grafana 9.
Link: https://go.hotmart.com/D73634682F
Voucher: DESCONTOGRAFANA | 75,827 | 75,828 | null | null | 0 | 0 | 25,687 | 1 | 16,753 | 1 | 13 | null | {
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14,714 | 1 | 520,511 | 21,845 | 13 | chia-monitor | Chia Monitor Mwsen | Displays all important metrics from your Chia farming node and all connected harvesters, collected by chia-monitor. | 2021-07-10 00:25:58 UTC | 2021-07-10 00:26:53 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 21,845 | 1 | 14,714 | 1 | 13 | Displays all important metrics from your Chia farming node and all connected harvesters, collected by chia-monitor. | {
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14,586 | 1 | 510,826 | 21,610 | 13 | air-monitor | Air monitor (ClearGrass) | ClearGrassAirMonitor for https://github.com/Tan4ek/ClearGrassAirMonitor_prometheus_node_exporter | 2021-06-14 15:37:38 UTC | 2021-06-14 15:41:07 UTC | 0 | null | 0 | 0 | nodeExporter | null | 0 | 0 | 21,610 | 1 | 14,586 | 1 | 13 | ClearGrassAirMonitor | {
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15,262 | 1 | 566,593 | 22,907 | 13 | flow-monitoring | Logiq Flow-monitoring | Flow monitoring dashboard helps visualise the EPS savings and egress traffic details and data pipeline distribution | 2021-11-18 14:09:41 UTC | 2021-11-18 14:41:31 UTC | 0 | null | 68,698 | 68,699 | null | null | 0 | 0 | 22,907 | 1 | 15,262 | 1 | 13 | null | {
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} | 2021-11-18 14:09:41 UTC | 2021-11-18 14:41:31 UTC | 0 | 0 |
13,755 | 1 | 228,208 | 20,102 | 13 | codequality-by-metrix-2-folder | CodeQuality by Metrix++ 2:Folder | Visualize code quality metrics LoC (Lines of Code), CC (Cyclomatic Complexity) and resulting CCD (Cyclomatic Complexity Density) collected for your codebase by Metrix++ in Prometheus | 2021-01-20 20:32:34 UTC | 2021-01-20 21:00:49 UTC | 0 | This dashboard allows you to visualize code quality metrics
1. LoC (Lines of Code)
1. CC (Cyclomatic Complexity)
1. and the resulting CCD (Cyclomatic Complexity Density), as division of CD by LoC
(all 3 horizontally in successive columns) collected for your codebase **folders** (C/C++, C# and Java) by [Metrix++](https://metrixplusplus.github.io/home.html) in Prometheus.
For each metric, 3 graphs are rendered vertically showing successively:
1. total absolute for the current selection (codebase **folders**)
1. distribution of the total 1. over the next level items (**files**)
1. deviation over the time of the total 1. by next level items (**files**)
It is part of a set of 3 dashboards, linked for the sake of drilldown analysis:
1. _[CodeQuality by Metrix++ 1:Overall](https://grafana.com/grafana/dashboards/13754)_
1. **_[CodeQuality by Metrix++ 2:Folder](https://grafana.com/grafana/dashboards/13755)_**
1. _[CodeQuality by Metrix++ 3:File](https://grafana.com/grafana/dashboards/13756)_
**_[CodeQuality by Metrix++ 2:Folder](https://grafana.com/grafana/dashboards/13755)_** is designed as **second** dashboard used during analysis, showing metrics at codebase **folder** level (selection) up to (scolling down to) the next level information about **files**, with support for drilldown to the next linked _[CodeQuality by Metrix++ 3:File](https://grafana.com/grafana/dashboards/13756)_.
First it requires you to put [Metrix++](https://metrixplusplus.github.io/home.html) in place for your codebase (C/C++, C# and Java), (see also its [github repo](https://github.com/metrixplusplus/metrixplusplus)), and to setup a Prometheus instance scraping the output of the following commands:
- `python metrix++.py view --ll=ERROR --format=prometheus`
- `python metrix++.py view --ll=ERROR --format=prometheus -- /home/mycodebase`
- `python metrix++.py view --ll=ERROR --format=prometheus -- /home/mycodebase/src`
- `python metrix++.py view --ll=ERROR --format=prometheus -- /home/mycodebase/src/main`
- `python metrix++.py view --ll=ERROR --format=prometheus -- /home/mycodebase/src/main/java`
- `python metrix++.py view --ll=ERROR --format=prometheus -- /home/mycodebase/src/main/java/Foo.java` | 59,775 | 59,776 | Other | null | 0 | 0 | 20,102 | 1 | 13,755 | 1 | 13 | null | {
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"definition": "label_values(std_code_lines_code_total{},job)",
"hide": 0,
"includeAll": false,
"label": "Codebase",
"multi": false,
"name": "codebase",
"options": [],
"query": "label_values(std_code_lines_code_total{},job)",
"refresh": 2,
"regex": "",
"skipUrlSync": false,
"sort": 1,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
"allValue": ".*",
"current": {},
"datasource": "${DS_PROMETHEUS_(VLEI)}",
"definition": "label_values(std_code_complexity_cyclomatic_avg{job=~\"$codebase\",file!~`.*(cpp|h|java)`},file)",
"hide": 0,
"includeAll": false,
"label": "Folder",
"multi": true,
"name": "folderFilter",
"options": [],
"query": "label_values(std_code_complexity_cyclomatic_avg{job=~\"$codebase\",file!~`.*(cpp|h|java)`},file)",
"refresh": 2,
"regex": "",
"skipUrlSync": false,
"sort": 1,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
"allValue": null,
"current": {
"tags": [],
"text": "1h",
"value": "1h"
},
"hide": 0,
"includeAll": false,
"label": "Delta time range",
"multi": false,
"name": "deltaTimeRange",
"options": [
{
"selected": false,
"text": "1m",
"value": "1m"
},
{
"selected": true,
"text": "1h",
"value": "1h"
},
{
"selected": false,
"text": "1d",
"value": "1d"
},
{
"selected": false,
"text": "1w",
"value": "1w"
}
],
"query": "1m, 1h, 1d, 1w",
"skipUrlSync": false,
"type": "custom"
}
]
},
"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": "CodeQuality by Metrix++ 2:Folder",
"uid": "zVVjKvR4w",
"version": 26,
"description": "Visualize code quality metrics LoC (Lines of Code), CC (Cyclomatic Complexity) and resulting CCD (Cyclomatic Complexity Density) collected for your codebase by Metrix++ in Prometheus"
} | 2021-01-20 20:32:34 UTC | 2021-01-20 20:43:49 UTC | 0 | 0 |
1,485 | 1 | 45,123 | 1,974 | 269 | restify | Restify | Restify metrics | 2017-02-10 22:00:14 UTC | 2017-02-10 22:09:30 UTC | 0 | null | 7,629 | 7,632 | null | null | 0 | 0 | 1,974 | 1 | 1,485 | 1 | 269 | Restify metrics | {
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}
],
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{
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"id": null,
"title": "Restify",
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"restify",
"http"
],
"style": "dark",
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"sharedCrosshair": false,
"rows": [
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"targets": [
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],
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},
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"steppedLine": false,
"targets": [
{
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"intervalFactor": 2,
"legendFormat": "{{path}}",
"refId": "A",
"step": 2
}
],
"timeFrom": null,
"timeShift": null,
"title": "Main paths",
"tooltip": {
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{
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}
],
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},
{
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"panels": [
{
"aliasColors": {},
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"datasource": "${DS_PROMETHEUS}",
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"points": false,
"renderer": "flot",
"seriesOverrides": [],
"span": 4,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "histogram_quantile(0.95, sum(rate(restify_path_duration_bucket{instance=~\"$servers\"}[10s])) by (le))",
"intervalFactor": 2,
"legendFormat": "Global",
"refId": "A",
"step": 2
}
],
"timeFrom": null,
"timeShift": null,
"title": "Response time (95th percentile)",
"tooltip": {
"msResolution": false,
"shared": true,
"sort": 0,
"value_type": "cumulative"
},
"type": "graph",
"xaxis": {
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"min": null,
"show": true
},
{
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"label": null,
"logBase": 1,
"max": null,
"min": null,
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]
},
{
"aliasColors": {},
"bars": false,
"datasource": "${DS_PROMETHEUS}",
"editable": true,
"error": false,
"fill": 1,
"grid": {
"threshold1": null,
"threshold1Color": "rgba(216, 200, 27, 0.27)",
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"threshold2Color": "rgba(234, 112, 112, 0.22)"
},
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"isNew": true,
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"avg": true,
"current": false,
"max": true,
"min": true,
"rightSide": true,
"show": true,
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"values": true
},
"lines": true,
"linewidth": 2,
"links": [],
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"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"span": 8,
"stack": false,
"steppedLine": false,
"targets": [
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"legendFormat": "{{path}}",
"refId": "A",
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}
],
"timeFrom": null,
"timeShift": null,
"title": "Resp. time / path",
"tooltip": {
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"shared": true,
"sort": 0,
"value_type": "cumulative"
},
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"xaxis": {
"show": true
},
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{
"format": "s",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": false
}
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}
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"title": "Response time"
},
{
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"editable": true,
"height": "250px",
"panels": [
{
"aliasColors": {},
"cacheTimeout": null,
"combine": {
"label": "Others",
"threshold": 0
},
"datasource": "${DS_PROMETHEUS}",
"editable": true,
"error": false,
"fontSize": "80%",
"format": "short",
"id": 5,
"interval": null,
"isNew": true,
"legend": {
"percentage": false,
"show": true,
"values": false
},
"legendType": "Right side",
"links": [],
"maxDataPoints": 3,
"nullPointMode": "connected",
"pieType": "pie",
"span": 4,
"strokeWidth": 1,
"targets": [
{
"expr": "sum(restify_status_codes{instance=~\"$servers\"}) by (status_code)",
"intervalFactor": 2,
"legendFormat": "{{status_code}}",
"refId": "A",
"step": 240
}
],
"title": "Status codes",
"type": "grafana-piechart-panel",
"valueName": "current"
},
{
"aliasColors": {},
"cacheTimeout": null,
"combine": {
"label": "Others",
"threshold": 0
},
"datasource": "${DS_PROMETHEUS}",
"editable": true,
"error": false,
"fontSize": "80%",
"format": "short",
"id": 8,
"interval": null,
"isNew": true,
"legend": {
"percentage": false,
"show": true,
"sortDesc": true,
"values": true
},
"legendType": "Right side",
"links": [],
"maxDataPoints": 3,
"nullPointMode": "connected",
"pieType": "pie",
"span": 4,
"strokeWidth": 1,
"targets": [
{
"expr": "restify_path_count{status_code=\"404\",instance=~\"$instances\"}",
"intervalFactor": 2,
"legendFormat": "{{path}}",
"refId": "A",
"step": 240
}
],
"title": "404 paths",
"type": "grafana-piechart-panel",
"valueName": "current"
},
{
"aliasColors": {},
"cacheTimeout": null,
"combine": {
"label": "Others",
"threshold": 0
},
"datasource": "${DS_PROMETHEUS}",
"editable": true,
"error": false,
"fontSize": "80%",
"format": "short",
"id": 7,
"interval": null,
"isNew": true,
"legend": {
"percentage": false,
"show": true,
"values": true
},
"legendType": "Right side",
"links": [],
"maxDataPoints": 3,
"nullPointMode": "connected",
"pieType": "pie",
"span": 4,
"strokeWidth": 1,
"targets": [
{
"expr": "restify_path_count{status_code=\"500\",instance=~\"$servers\"}",
"intervalFactor": 2,
"legendFormat": "{{path}}",
"refId": "A",
"step": 240
}
],
"title": "500 paths",
"type": "grafana-piechart-panel",
"valueName": "current"
}
],
"title": "Status codes"
},
{
"collapse": false,
"editable": true,
"height": "250px",
"panels": [
{
"aliasColors": {},
"bars": false,
"datasource": "${DS_PROMETHEUS}",
"editable": true,
"error": false,
"fill": 1,
"grid": {
"threshold1": null,
"threshold1Color": "rgba(216, 200, 27, 0.27)",
"threshold2": null,
"threshold2Color": "rgba(234, 112, 112, 0.22)"
},
"id": 6,
"isNew": true,
"legend": {
"avg": false,
"current": false,
"max": false,
"min": false,
"show": true,
"total": false,
"values": false
},
"lines": true,
"linewidth": 2,
"links": [],
"nullPointMode": "connected",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"span": 6,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "sum(rate(restify_status_codes{instance=~\"$servers\"}[10s])) by (status_code)",
"intervalFactor": 2,
"legendFormat": "{{status_code}}",
"refId": "A",
"step": 2
}
],
"timeFrom": null,
"timeShift": null,
"title": "Status codes rate",
"tooltip": {
"msResolution": false,
"shared": true,
"sort": 0,
"value_type": "cumulative"
},
"type": "graph",
"xaxis": {
"show": true
},
"yaxes": [
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
},
{
"aliasColors": {},
"bars": false,
"datasource": "${DS_PROMETHEUS}",
"editable": true,
"error": false,
"fill": 1,
"grid": {
"threshold1": null,
"threshold1Color": "rgba(216, 200, 27, 0.27)",
"threshold2": null,
"threshold2Color": "rgba(234, 112, 112, 0.22)"
},
"id": 9,
"isNew": true,
"legend": {
"alignAsTable": true,
"avg": true,
"current": false,
"max": true,
"min": true,
"rightSide": true,
"show": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 2,
"links": [],
"nullPointMode": "connected",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"span": 6,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "histogram_quantile(0.95, sum(rate(restify_path_duration_bucket{instance=~\"$servers\"}[10s])) by (status_code, le))",
"intervalFactor": 2,
"legendFormat": "{{status_code}}",
"refId": "A",
"step": 2
}
],
"timeFrom": null,
"timeShift": null,
"title": "Response time / Status codes",
"tooltip": {
"msResolution": false,
"shared": true,
"sort": 0,
"value_type": "cumulative"
},
"type": "graph",
"xaxis": {
"show": true
},
"yaxes": [
{
"format": "s",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": false
}
]
}
],
"title": "Status code distribution"
}
],
"time": {
"from": "now-5m",
"to": "now"
},
"timepicker": {
"refresh_intervals": [
"5s",
"10s",
"30s",
"1m",
"5m",
"15m",
"30m",
"1h",
"2h",
"1d"
],
"time_options": [
"5m",
"15m",
"1h",
"6h",
"12h",
"24h",
"2d",
"7d",
"30d"
]
},
"templating": {
"list": [
{
"current": {},
"datasource": "${DS_PROMETHEUS}",
"hide": 0,
"includeAll": true,
"label": "Servers",
"multi": true,
"name": "servers",
"options": [],
"query": "up{instance=~'.+'}",
"refresh": 1,
"regex": "/instance=\"([^\"]+)\"/",
"type": "query"
}
]
},
"annotations": {
"list": []
},
"refresh": false,
"schemaVersion": 12,
"version": 21,
"links": [],
"gnetId": 1485
} | 2017-02-10 22:00:14 UTC | 2017-02-10 22:09:30 UTC | 0 | 0 |
5,901 | 1 | 144,558 | 8,019 | 525 | ups-dashboard | UPS Dashboard | Dashboard to monitor APC (Schneider Electric) UPS Management cards. | 2018-05-02 10:29:44 UTC | 2018-05-03 01:30:59 UTC | 0 | The UPS dashboard shows the following
* UPS Model
* UPS and Battery Status
* Graphs for:
* Load and Efficiency
* Run Time Remaining
* Voltage (both input and output)
* Battery Charge Capacity
* Time On Battery
* Battery Temperature (Celcius)
* Energy Usage (kWh)
* Current (Ampere Load)
All graphs, where possible, use high precision counters. | 0 | 0 | Telegraf | ```
[[inputs.snmp.field]]
name = "hostname"
oid = "RFC1213-MIB::sysName.0"
is_tag = true
[[inputs.snmp.field]]
name = "uptime"
oid = "DISMAN-EXPRESSION-MIB::sysUpTimeInstance"
[[inputs.snmp.field]]
name = "model"
oid = "PowerNet-MIB::upsBasicIdentModel.0"
[[inputs.snmp.field]]
name = "name"
oid = "PowerNet-MIB::upsBasicIdentName.0"
[[inputs.snmp.field]]
name = "upsBasicBatteryTimeOnBattery"
oid = "PowerNet-MIB::upsBasicBatteryTimeOnBattery.0"
[[inputs.snmp.field]]
name = "upsAdvBatteryRunTimeRemaining"
oid = "PowerNet-MIB::upsAdvBatteryRunTimeRemaining.0"
[[inputs.snmp.field]]
name = "upsAdvBatteryReplaceIndicator"
oid = "PowerNet-MIB::upsAdvBatteryReplaceIndicator.0"
[[inputs.snmp.field]]
name = "upsHighPrecBatteryCapacity"
oid = "PowerNet-MIB::upsHighPrecBatteryCapacity.0"
conversion = "float(1)"
[[inputs.snmp.field]]
name = "upsHighPrecBatteryTemperature"
oid = "PowerNet-MIB::upsHighPrecBatteryTemperature.0"
conversion = "float(1)"
[[inputs.snmp.field]]
name = "upsBasicOutputStatus"
oid = "PowerNet-MIB::upsBasicOutputStatus.0"
[[inputs.snmp.field]]
name = "upsHighPrecOutputLoad"
oid = "PowerNet-MIB::upsHighPrecOutputLoad.0"
conversion = "float(1)"
[[inputs.snmp.field]]
name = "upsHighPrecOutputEfficiency"
oid = "PowerNet-MIB::upsHighPrecOutputEfficiency.0"
conversion = "float(1)"
[[inputs.snmp.field]]
name = "upsHighPrecOutputVoltage"
oid = "PowerNet-MIB::upsHighPrecOutputVoltage.0"
conversion = "float(1)"
[[inputs.snmp.field]]
name = "upsHighPrecInputLineVoltage"
oid = "PowerNet-MIB::upsHighPrecInputLineVoltage.0"
conversion = "float(1)"
[[inputs.snmp.field]]
name = "upsHighPrecOutputCurrent"
oid = "PowerNet-MIB::upsHighPrecOutputCurrent.0"
conversion = "float(1)"
[[inputs.snmp.field]]
name = "upsHighPrecOutputEnergyUsage"
oid = "PowerNet-MIB::upsHighPrecOutputEnergyUsage.0"
conversion = "float(1)"
# IF-MIB::ifTable contains counters on input and output traffic as well as errors and discards.
[[inputs.snmp.table]]
name = "interface"
inherit_tags = [ "hostname" ]
oid = "IF-MIB::ifTable"
# Interface tag - used to identify interface in metrics database
[[inputs.snmp.table.field]]
name = "ifDescr"
oid = "IF-MIB::ifDescr"
is_tag = true
# IF-MIB::ifXTable contains newer High Capacity (HC) counters that do not overflow as fast for a few of the ifTable counters
[[inputs.snmp.table]]
name = "interface"
inherit_tags = [ "hostname" ]
oid = "IF-MIB::ifXTable"
# Interface tag - used to identify interface in metrics database
[[inputs.snmp.table.field]]
name = "ifDescr"
oid = "IF-MIB::ifDescr"
is_tag = true
# EtherLike-MIB::dot3StatsTable contains detailed ethernet-level information about what kind of errors have been logged on an interface (such as FCS error, frame too long, etc)
[[inputs.snmp.table]]
name = "interface"
inherit_tags = [ "hostname" ]
oid = "EtherLike-MIB::dot3StatsTable"
# Interface tag - used to identify interface in metrics database
[[inputs.snmp.table.field]]
name = "ifDescr"
oid = "IF-MIB::ifDescr"
is_tag = true
``` | 1 | 2 | 8,019 | 1 | 5,901 | 1 | 525 | null | {
"__inputs": [
{
"name": "DS_TELEGRAF",
"label": "telegraf",
"description": "",
"type": "datasource",
"pluginId": "influxdb",
"pluginName": "InfluxDB"
}
],
"__requires": [
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "5.1.0"
},
{
"type": "panel",
"id": "graph",
"name": "Graph",
"version": "5.0.0"
},
{
"type": "datasource",
"id": "influxdb",
"name": "InfluxDB",
"version": "5.0.0"
},
{
"type": "panel",
"id": "singlestat",
"name": "Singlestat",
"version": "5.0.0"
}
],
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"metric": "container_memory_usage:sort_desc",
"refId": "A",
"step": 10
}
],
"thresholds": [],
"timeFrom": null,
"timeRegions": [],
"timeShift": null,
"title": "System services memory usage",
"tooltip": {
"msResolution": false,
"shared": true,
"sort": 2,
"value_type": "cumulative"
},
"type": "graph",
"xaxis": {
"buckets": null,
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"name": null,
"show": true,
"values": []
},
"yaxes": [
{
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"label": null,
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"max": null,
"min": null,
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},
{
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"logBase": 1,
"max": null,
"min": null,
"show": false
}
],
"yaxis": {
"align": false,
"alignLevel": null
}
}
],
"title": "System services memory usage",
"type": "row"
},
{
"collapsed": true,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 27
},
"id": 41,
"panels": [
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_RANCHER_MONITORING}",
"decimals": 2,
"editable": true,
"error": false,
"fill": 0,
"grid": {},
"gridPos": {
"h": 7,
"w": 24,
"x": 0,
"y": 28
},
"id": 27,
"isNew": true,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": false,
"min": false,
"rightSide": true,
"show": true,
"sideWidth": 200,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 2,
"links": [],
"nullPointMode": "connected",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": true,
"targets": [
{
"expr": "sum (container_memory_working_set_bytes{image!=\"\",name=~\"^k8s_.*\",container_name!=\"POD\",node=~\"^$Node$\"}) by (container_name, pod_name)",
"interval": "10s",
"intervalFactor": 1,
"legendFormat": "pod: {{ pod_name }} | {{ container_name }}",
"metric": "container_memory_usage:sort_desc",
"refId": "A",
"step": 10
},
{
"expr": "sum (container_memory_working_set_bytes{image!=\"\",name!~\"^k8s_.*\",node=~\"^$Node$\"}) by (node, name, image)",
"interval": "10s",
"intervalFactor": 1,
"legendFormat": "docker: {{ node }} | {{ image }} ({{ name }})",
"metric": "container_memory_usage:sort_desc",
"refId": "B",
"step": 10
},
{
"expr": "sum (container_memory_working_set_bytes{rkt_container_name!=\"\",node=~\"^$Node$\"}) by (node, rkt_container_name)",
"interval": "10s",
"intervalFactor": 1,
"legendFormat": "rkt: {{ node }} | {{ rkt_container_name }}",
"metric": "container_memory_usage:sort_desc",
"refId": "C",
"step": 10
}
],
"thresholds": [],
"timeFrom": null,
"timeRegions": [],
"timeShift": null,
"title": "Containers memory usage",
"tooltip": {
"msResolution": false,
"shared": true,
"sort": 2,
"value_type": "cumulative"
},
"type": "graph",
"xaxis": {
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"values": []
},
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"show": true
},
{
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}
],
"yaxis": {
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}
}
],
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},
{
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"x": 0,
"y": 28
},
"id": 42,
"panels": [
{
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"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_RANCHER_MONITORING}",
"decimals": 2,
"editable": true,
"error": false,
"fill": 0,
"grid": {},
"gridPos": {
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"w": 24,
"x": 0,
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},
"id": 28,
"isNew": true,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": false,
"min": false,
"rightSide": false,
"show": true,
"sideWidth": 200,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 2,
"links": [],
"nullPointMode": "connected",
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"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": true,
"targets": [
{
"expr": "sum (container_memory_working_set_bytes{id!=\"/\",node=~\"^$Node$\"}) by (id)",
"interval": "10s",
"intervalFactor": 1,
"legendFormat": "{{ id }}",
"metric": "container_memory_usage:sort_desc",
"refId": "A",
"step": 10
}
],
"thresholds": [],
"timeFrom": null,
"timeRegions": [],
"timeShift": null,
"title": "All processes memory usage",
"tooltip": {
"msResolution": false,
"shared": true,
"sort": 2,
"value_type": "cumulative"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
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},
"yaxes": [
{
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"logBase": 1,
"max": null,
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"show": true
},
{
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"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": false
}
],
"yaxis": {
"align": false,
"alignLevel": null
}
}
],
"title": "All processes memory usage",
"type": "row"
},
{
"collapsed": true,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 29
},
"id": 43,
"panels": [
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_RANCHER_MONITORING}",
"decimals": 2,
"editable": true,
"error": false,
"fill": 1,
"grid": {},
"gridPos": {
"h": 7,
"w": 24,
"x": 0,
"y": 30
},
"id": 16,
"isNew": true,
"legend": {
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"avg": true,
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"sideWidth": 200,
"sort": "current",
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"values": true
},
"lines": true,
"linewidth": 2,
"links": [],
"nullPointMode": "connected",
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"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "sum (rate (container_network_receive_bytes_total{image!=\"\",name=~\"^k8s_.*\",node=~\"^$Node$\"}[5m])) by (pod_name)",
"interval": "10s",
"intervalFactor": 1,
"legendFormat": "-> {{ pod_name }}",
"metric": "network",
"refId": "A",
"step": 10
},
{
"expr": "- sum (rate (container_network_transmit_bytes_total{image!=\"\",name=~\"^k8s_.*\",node=~\"^$Node$\"}[5m])) by (pod_name)",
"interval": "10s",
"intervalFactor": 1,
"legendFormat": "<- {{ pod_name }}",
"metric": "network",
"refId": "B",
"step": 10
}
],
"thresholds": [],
"timeFrom": null,
"timeRegions": [],
"timeShift": null,
"title": "Pods network I/O (5m avg)",
"tooltip": {
"msResolution": false,
"shared": true,
"sort": 2,
"value_type": "cumulative"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
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},
"yaxes": [
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}
],
"yaxis": {
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}
}
],
"title": "Pods network I/O",
"type": "row"
},
{
"collapsed": true,
"gridPos": {
"h": 1,
"w": 24,
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"y": 30
},
"id": 44,
"panels": [
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_RANCHER_MONITORING}",
"decimals": 2,
"editable": true,
"error": false,
"fill": 1,
"grid": {},
"gridPos": {
"h": 7,
"w": 24,
"x": 0,
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},
"id": 30,
"isNew": true,
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"avg": true,
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"rightSide": true,
"show": true,
"sideWidth": 200,
"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 2,
"links": [],
"nullPointMode": "connected",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
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"hide": false,
"interval": "10s",
"intervalFactor": 1,
"legendFormat": "-> pod: {{ pod_name }} | {{ container_name }}",
"metric": "network",
"refId": "B",
"step": 10
},
{
"expr": "- sum (rate (container_network_transmit_bytes_total{image!=\"\",name=~\"^k8s_.*\",node=~\"^$Node$\"}[5m])) by (container_name, pod_name)",
"hide": false,
"interval": "10s",
"intervalFactor": 1,
"legendFormat": "<- pod: {{ pod_name }} | {{ container_name }}",
"metric": "network",
"refId": "D",
"step": 10
},
{
"expr": "sum (rate (container_network_receive_bytes_total{image!=\"\",name!~\"^k8s_.*\",node=~\"^$Node$\"}[5m])) by (node, name, image)",
"hide": false,
"interval": "10s",
"intervalFactor": 1,
"legendFormat": "-> docker: {{ node }} | {{ image }} ({{ name }})",
"metric": "network",
"refId": "A",
"step": 10
},
{
"expr": "- sum (rate (container_network_transmit_bytes_total{image!=\"\",name!~\"^k8s_.*\",node=~\"^$Node$\"}[5m])) by (node, name, image)",
"hide": false,
"interval": "10s",
"intervalFactor": 1,
"legendFormat": "<- docker: {{ node }} | {{ image }} ({{ name }})",
"metric": "network",
"refId": "C",
"step": 10
},
{
"expr": "sum (rate (container_network_transmit_bytes_total{rkt_container_name!=\"\",node=~\"^$Node$\"}[5m])) by (node, rkt_container_name)",
"hide": false,
"interval": "10s",
"intervalFactor": 1,
"legendFormat": "-> rkt: {{ node }} | {{ rkt_container_name }}",
"metric": "network",
"refId": "E",
"step": 10
},
{
"expr": "- sum (rate (container_network_transmit_bytes_total{rkt_container_name!=\"\",node=~\"^$Node$\"}[5m])) by (node, rkt_container_name)",
"hide": false,
"interval": "10s",
"intervalFactor": 1,
"legendFormat": "<- rkt: {{ node }} | {{ rkt_container_name }}",
"metric": "network",
"refId": "F",
"step": 10
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Containers network I/O (5m avg)",
"tooltip": {
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"shared": true,
"sort": 2,
"value_type": "cumulative"
},
"type": "graph",
"xaxis": {
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"mode": "time",
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"show": true,
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},
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},
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],
"title": "Containers network I/O",
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},
{
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},
"id": 45,
"panels": [
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"dashLength": 10,
"dashes": false,
"datasource": "${DS_RANCHER_MONITORING}",
"decimals": 2,
"editable": true,
"error": false,
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"w": 24,
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},
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"sort": "current",
"sortDesc": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 2,
"links": [],
"nullPointMode": "connected",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "sum (rate (container_network_receive_bytes_total{id!=\"/\",node=~\"^$Node$\"}[5m])) by (id)",
"interval": "10s",
"intervalFactor": 1,
"legendFormat": "-> {{ id }}",
"metric": "network",
"refId": "A",
"step": 10
},
{
"expr": "- sum (rate (container_network_transmit_bytes_total{id!=\"/\",node=~\"^$Node$\"}[5m])) by (id)",
"interval": "10s",
"intervalFactor": 1,
"legendFormat": "<- {{ id }}",
"metric": "network",
"refId": "B",
"step": 10
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "All processes network I/O (5m avg)",
"tooltip": {
"msResolution": false,
"shared": true,
"sort": 2,
"value_type": "cumulative"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"format": "Bps",
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"max": null,
"min": null,
"show": true
},
{
"format": "short",
"label": null,
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"max": null,
"min": null,
"show": false
}
]
}
],
"title": "All processes network I/O",
"type": "row"
}
],
"refresh": "1m",
"schemaVersion": 18,
"style": "dark",
"tags": [],
"templating": {
"list": [
{
"allValue": ".*",
"current": {},
"datasource": "${DS_RANCHER_MONITORING}",
"definition": "",
"hide": 0,
"includeAll": true,
"label": null,
"multi": false,
"name": "Node",
"options": [],
"query": "label_values(node_boot_time_seconds, node)",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
}
]
},
"time": {
"from": "now-30m",
"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": "K8 Cluster Detail Dashboard",
"uid": "icjpCppik",
"version": 3
} | 2019-09-13 22:54:49 UTC | 2019-09-13 22:55:31 UTC | 1 | 4 |
13,145 | 1 | 423,572 | 19,096 | 14 | rare-freerouter-nrpe | RARE/freeRouter - NRPE | Display NREP metrics | 2020-10-12 15:35:20 UTC | 2020-10-12 15:37:39 UTC | 0 | `scope:local` to freeRouter node
freeRouter Prometheus configuration: (copy & paste in freeRouter CLI)
```
metric nrpe command sho nrpe home
metric nrpe prepend nrpe_
metric nrpe name 0 name=
metric nrpe skip 2
metric nrpe column 1 name state
metric nrpe column 1 replace false 0
metric nrpe column 1 replace true 1
metric nrpe column 2 name asked
metric nrpe column 3 name time
metric nrpe column 4 name passed
metric nrpe column 6 name failed
``` | 56,883 | 56,884 | Other | null | 0 | 0 | 19,096 | 1 | 13,145 | 1 | 14 | null | {
"__inputs": [
{
"name": "DS_PROMETHEUS",
"label": "Prometheus",
"description": "prometheus metric collector that receives metric from freeRouter control plane",
"type": "datasource",
"pluginId": "prometheus",
"pluginName": "Prometheus"
}
],
"__requires": [
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "7.2.0"
},
{
"type": "panel",
"id": "graph",
"name": "Graph",
"version": ""
},
{
"type": "datasource",
"id": "prometheus",
"name": "Prometheus",
"version": "1.0.0"
},
{
"type": "panel",
"id": "stat",
"name": "Stat",
"version": ""
}
],
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": "-- Grafana --",
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"type": "dashboard"
}
]
},
"editable": true,
"gnetId": 13145,
"graphTooltip": 0,
"id": null,
"iteration": 1602514306943,
"links": [],
"panels": [
{
"datasource": "${DS_PROMETHEUS}",
"fieldConfig": {
"defaults": {
"custom": {},
"mappings": [
{
"from": "",
"id": 0,
"text": "down",
"to": "",
"type": 1,
"value": "0"
},
{
"from": "",
"id": 1,
"text": "up",
"to": "",
"type": 1,
"value": "1"
}
],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "black",
"value": null
},
{
"color": "red",
"value": -0.1
},
{
"color": "dark-green",
"value": 0.1
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 3,
"w": 4,
"x": 0,
"y": 0
},
"id": 12,
"maxPerRow": 12,
"options": {
"colorMode": "background",
"graphMode": "none",
"justifyMode": "center",
"orientation": "vertical",
"reduceOptions": {
"calcs": [
"last"
],
"fields": "",
"values": false
},
"textMode": "value"
},
"pluginVersion": "7.2.0",
"repeat": "nrpe_name",
"repeatDirection": "h",
"targets": [
{
"expr": "nrpe_state{instance=\"$instance\",name=\"$nrpe_name\"}",
"instant": true,
"interval": "",
"legendFormat": "",
"refId": "A"
}
],
"timeFrom": null,
"timeShift": null,
"title": "NRPE ${nrpe_name}",
"type": "stat"
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_PROMETHEUS}",
"fieldConfig": {
"defaults": {
"custom": {},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "dark-green",
"value": null
}
]
},
"unit": "none"
},
"overrides": []
},
"fill": 1,
"fillGradient": 0,
"gridPos": {
"h": 11,
"w": 12,
"x": 0,
"y": 3
},
"hiddenSeries": false,
"id": 3,
"legend": {
"alignAsTable": true,
"avg": false,
"current": true,
"max": true,
"min": true,
"show": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"nullPointMode": "null",
"options": {
"alertThreshold": true
},
"percentage": false,
"pluginVersion": "7.2.0",
"pointradius": 2,
"points": false,
"renderer": "flot",
"repeat": "nrpe_name",
"repeatDirection": "v",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "rate(nrpe_failed{instance=\"$instance\",name=\"$nrpe_name\"}[1m])",
"interval": "",
"legendFormat": "Failed",
"refId": "B"
},
{
"expr": "rate(nrpe_passed{instance=\"$instance\",name=\"$nrpe_name\"}[1m])",
"interval": "",
"legendFormat": "Passed",
"refId": "C"
}
],
"thresholds": [],
"timeFrom": null,
"timeRegions": [],
"timeShift": null,
"title": "${nrpe_name}:failed/passed rate",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"$$hashKey": "object:67",
"format": "none",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"$$hashKey": "object:68",
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
],
"yaxis": {
"align": false,
"alignLevel": null
}
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_PROMETHEUS}",
"fieldConfig": {
"defaults": {
"custom": {},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "dark-green",
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}
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],
"thresholds": [],
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"timeRegions": [],
"timeShift": null,
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},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
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"min": null,
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"$$hashKey": "object:68",
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"align": false,
"alignLevel": null
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],
"schemaVersion": 26,
"style": "dark",
"tags": [
"[scope:local]"
],
"templating": {
"list": [
{
"allValue": null,
"current": {},
"datasource": "${DS_PROMETHEUS}",
"definition": "label_values({__name__=~\"^nrpe_.*\"},instance)",
"hide": 0,
"includeAll": false,
"label": null,
"multi": false,
"name": "instance",
"options": [],
"query": "label_values({__name__=~\"^nrpe_.*\"},instance)",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
"allValue": null,
"current": {},
"datasource": "${DS_PROMETHEUS}",
"definition": "label_values(nrpe_state{instance=\"$instance\"},name)",
"hide": 0,
"includeAll": true,
"label": null,
"multi": true,
"name": "nrpe_name",
"options": [],
"query": "label_values(nrpe_state{instance=\"$instance\"},name)",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
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},
"time": {
"from": "now-6h",
"to": "now"
},
"timepicker": {},
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"title": "RARE/freeRouter - NRPE",
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} | 2020-10-12 15:35:20 UTC | 2020-10-12 15:37:39 UTC | 0 | 0 |
14,864 | 1 | 286,202 | 22,145 | 14 | stree-index | stree-index | 服务树统计大盘 | 2021-08-12 03:43:48 UTC | 2021-08-12 04:34:09 UTC | 0 | # 在开源服务树的基础上又做的二次开发,功能点如下
- 多种资源按任意标签的分布情况
- g.p.a使用每种资源的情况
- 机器cpu、内存、磁盘分布情况
# 如果有付费需要的话 +vx ning1875
# [prometheus课程链接](https://ke.qq.com/course/3549215?tuin=361e95b0) | 65,833 | 65,834 | Other | null | 0 | 0 | 22,145 | 1 | 14,864 | 1 | 14 | null | {
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{
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],
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}
],
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},
{
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"dashes": false,
"datasource": "${DS_POSTGRESQL}",
"description": "",
"fieldConfig": {
"defaults": {
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"unit": "percent"
},
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},
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"fillGradient": 0,
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"w": 24,
"x": 0,
"y": 66
},
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"targets": [
{
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"rawSql": "select timestamp as \"time\" , avg_1hr_pct as \"1hr\" ,avg_1d_pct as \"1day\", avg_7d_pct as \"7day\" \nfrom results , availability where results.availability_id = availability.availability_id and zone in ($zone_list) and region = '$region_list' and product = '$product_list' \nand network = '$network_list' order by timestamp \n",
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"title": " Availability data : $zone_list/$product_list/$network_list /$region_list",
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{
"alert": {
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{
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"type": "gt"
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},
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"handler": 1,
"message": "turnaround time more than 20",
"name": "Turnaround time alert : 1/amd/ff",
"noDataState": "no_data",
"notifications": []
},
"aliasColors": {},
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"dashLength": 10,
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"rawQuery": true,
"rawSql": "select timestamp as \"time\" ,avg_1d_pct as \"1day\"\nfrom results , turnaround_time where results.tat_id = turnaround_time.tat_id and product = 'amd' \nand network = 'ff' and zone = '1' order by timestamp\n",
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],
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"timeRegions": [],
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"title": "Turnaround time : $zone_list/$product_list/$network_list ",
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"style": "dark",
"tags": [],
"templating": {
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{
"allValue": null,
"current": {},
"datasource": "${DS_POSTGRESQL}",
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"error": null,
"hide": 0,
"includeAll": true,
"label": "",
"multi": true,
"name": "zone_list",
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},
{
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"current": {},
"datasource": "${DS_POSTGRESQL}",
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"tagsQuery": "",
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},
{
"allValue": "",
"current": {},
"datasource": "${DS_POSTGRESQL}",
"definition": "select distinct communication from zone ",
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"error": null,
"hide": 0,
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"label": null,
"multi": true,
"name": "com_list",
"options": [],
"query": "select distinct communication from zone ",
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"skipUrlSync": false,
"sort": 0,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
"allValue": null,
"current": {},
"datasource": "${DS_POSTGRESQL}",
"definition": "select distinct customername from top_customers order by customername",
"description": "Only for top_customers",
"error": null,
"hide": 0,
"includeAll": true,
"label": null,
"multi": true,
"name": "cust_list",
"options": [],
"query": "select distinct customername from top_customers order by customername",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
"allValue": null,
"current": {},
"datasource": "${DS_POSTGRESQL}",
"definition": "select distinct region from geo ",
"description": "Only for Geo and availability ",
"error": null,
"hide": 0,
"includeAll": false,
"label": null,
"multi": false,
"name": "region_list",
"options": [],
"query": "select distinct region from geo ",
"refresh": 1,
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"skipUrlSync": false,
"sort": 0,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
"allValue": "",
"current": {},
"datasource": "${DS_POSTGRESQL}",
"definition": "select distinct metric from additional_status_code",
"description": "only for additional status code ",
"error": null,
"hide": 0,
"includeAll": true,
"label": null,
"multi": true,
"name": "add_status_code",
"options": [],
"query": "select distinct metric from additional_status_code",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
"allValue": null,
"current": {},
"datasource": "${DS_POSTGRESQL}",
"definition": "select distinct metric from flits",
"description": "Only for Flits",
"error": null,
"hide": 0,
"includeAll": true,
"label": null,
"multi": true,
"name": "Flits_list",
"options": [],
"query": "select distinct metric from flits",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
}
]
},
"time": {
"from": "now-24h",
"to": "now"
},
"timepicker": {},
"timezone": "browser",
"title": "Network Attributes Trend Analysis - AMD/OD/DD/WSD",
"uid": "gm8H7Zink",
"version": 80
} | 2021-07-18 18:08:53 UTC | null | 0 | 0 |
15,896 | 1 | 616,340 | 24,100 | 14 | spider-crawler-task-monitor | spider-crawler-task-monitor | spider-crawler-task-monitor with docker
contract me:https://github.com/zengfr | 2022-03-15 09:53:45 UTC | 2022-03-15 09:57:11 UTC | 0 | spider-crawler-task-monitor with docker
contract me:https://github.com/zengfr | 71,727 | 71,728 | collectd | spider-crawler-task-monitor with docker
contract me:https://github.com/zengfr | 1 | 5 | 24,100 | 1 | 15,896 | 1 | 14 | null | {
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} | 2022-03-15 09:53:45 UTC | 2022-03-15 09:56:21 UTC | 1 | 5 |
2,914 | 1 | 78,589 | 4,018 | 1,806 | apache-traffic-server | Apache Traffic Server Dashboard | Apache Traffic Server Monitoring Template | 2017-08-13 06:28:13 UTC | 2017-08-13 10:19:17 UTC | 0 | This is a dashboard for monitoring Apache Traffic Server metrics collected by custom exporter and stored in Prometheus TSDB.
If you have any suggestions or want to contribute, check [https://github.com/buraksarp/apache-traffic-server-exporter.git](https://github.com/buraksarp/apache-traffic-server-exporter.git) | 13,291 | 13,294 | Other | null | 0 | 0 | 4,018 | 1 | 2,914 | 1 | 1,806 | Apache Traffic Server | {
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} | 2017-08-13 06:28:13 UTC | 2017-08-13 10:19:17 UTC | 0 | 0 |
15,784 | 1 | 590,855 | 23,887 | 15 | dashboard-navigation | Dashboard navigation | Dashboard navigation | 2022-02-21 00:26:01 UTC | 2022-02-21 00:26:44 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 23,887 | 1 | 15,784 | 1 | 15 | null | {
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14,736 | 1 | 413,891 | 21,893 | 15 | sense-collector-mains-overview | Sense Collector - Mains Overview | Sense Collector provides a way of collecting real-time data from the Sense Energy Monitor. These Grafana dashboards offer visualizations for detected devices and smart plugs and their wattage, voltage, and amp utilization. | 2021-07-19 04:19:24 UTC | 2021-07-19 04:29:46 UTC | 0 | **Mains Overview** provides three panels showing Wattage (Stacked), Voltages, and Frequency. There are dropdowns at the top of the dashboard to show Leg 1, Leg 2, or both together. Device Status On, Off, and Idle event annotations may be toggled on or off.
More details on these Sense Collector dashboards may be found:
Github Project: [https://github.com/lux4rd0/sense-collector/](https://github.com/lux4rd0/sense-collector/)
Web Site: [https://labs.lux4rd0.com/sense-collector/](https://labs.lux4rd0.com/sense-collector/) | 65,177 | 65,178 | null | null | 0 | 0 | 21,893 | 1 | 14,736 | 1 | 15 | Sense Collector provides a way of collecting real-time data from the Sense Energy Monitor. These Grafana dashboards offer visualizations for detected devices and smart plugs and their wattage, voltage, and amp utilization. | {
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} | 2021-07-19 04:19:24 UTC | 2021-07-19 04:20:37 UTC | 0 | 0 |
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14,477 | 1 | 500,142 | 21,427 | 15 | flussonic-exporter | Flussonic Exporter | OS and Streams metrics directly from official Flussonic Exporter: CPU/RAM/Network/Disk usage, Online streams, bitrate, connected clients. | 2021-05-22 12:53:53 UTC | 2021-05-22 12:54:02 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 21,427 | 1 | 14,477 | 1 | 15 | OS and Streams metrics directly from official Flussonic Exporter: CPU/RAM/Network/Disk usage, Online streams, bitrate, connected clients. | {
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} | 2020-08-05 12:24:00 UTC | 2020-08-05 12:24:30 UTC | 0 | 0 |
12,388 | 1 | 317,073 | 17,745 | 15 | meteorologie | Meteorologie Roßbach Saale | Wetteraufzeichnung Roßbach Saale | 2020-06-02 10:04:58 UTC | 2020-06-02 10:07:12 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 17,745 | 1 | 12,388 | 1 | 15 | null | {
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],
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"timeShift": null,
"title": "Sonnenscheindauer",
"type": "gauge"
}
],
"refresh": "5m",
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"style": "dark",
"tags": [],
"templating": {
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},
"time": {
"from": "now-6h",
"to": "now"
},
"timepicker": {
"refresh_intervals": [
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"1m",
"5m",
"15m",
"30m",
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} | 2020-06-02 10:04:58 UTC | 2020-06-02 10:07:08 UTC | 0 | 0 |
14,403 | 1 | 494,843 | 21,273 | 15 | midway-app-dashboard | Midway App Dashboard | 更多信息请查看:https://github.com/midwayjs/midway | 2021-05-11 09:03:56 UTC | 2021-05-11 09:06:56 UTC | 0 | Prometheus(普罗米修斯)是一个最初在 SoundCloud 上构建的监控系统。 自 2012 年成为社区开源项目,拥有非常活跃的开发人员和用户社区。为强调开源及独立维护,Prometheus 于 2016 年加入云原生云计算基金会(CNCF),成为继 Kubernetes 之后的第二个托管项目。
Grafana 是一个开源的度量分析与可视化套件。纯 Javascript 开发的前端工具,通过访问库(如InfluxDB),展示自定义报表、显示图表等。Grafana支持许多不同的数据源。每个数据源都有一个特定的查询编辑器,该编辑器定制的特性和功能是公开的特定数据来源。而 Prometheus 正好是其支持的数据源之一。
本篇介绍了 Midway 如何接入 Grafana + Prometheus。
接入效果如下:
![image.png](https://cdn.nlark.com/yuque/0/2021/png/187105/1617259935548-a2df4339-3229-4391-bd3d-4ba8e6979d4d.png#height=498&id=KoiiE&margin=%5Bobject%20Object%5D&name=image.png&originHeight=996&originWidth=1914&originalType=binary&size=969345&status=done&style=none&width=957)
## 安装组件
首先安装 Midway 提供的指标监控组件:
```bash
$ npm install @midwayjs/prometheus -S
```
在 `configuration.ts` 中,引入这个组件:
```typescript
// src/configuration.ts
import { Configuration } from '@midwayjs/decorator';
import * as prometheus from '@midwayjs/prometheus'; // 导入模块
import { join } from 'path';
@Configuration({
imports: [prometheus], // 引入模块
importConfigs: [join(__dirname, 'config')]
})
export class AutoConfiguration {
}
```
启动我们的应用,此时访问的时候多了一个 `${host}:${port}/metrics` 。
:::info
Prometheus 基于 HTTP 获取监控数据,请加载 web/koa/express 任一框架,并使用多框架模式启动。
:::
访问接口,返回如下,里面的内容是当前的指标。
![image.png](https://cdn.nlark.com/yuque/0/2021/png/187105/1617260048533-4f725824-9471-40c9-be8b-6dcbf27d9cca.png#height=997&id=DIl0G&margin=%5Bobject%20Object%5D&name=image.png&originHeight=1994&originWidth=2276&originalType=binary&size=1070956&status=done&style=none&width=1138)
## 其他配置
指标组件也提供了相关的配置,方便开发者进行配置。
可以在 `config.default.ts` 中,修改 prometheus 的配置。
```typescript
import { DefaultConfig } from '@midwayjs/prometheus';
export const prometheus: DefaultConfig = {
labels: {
APP_NAME: 'demo_project'
},
}
```
更多的配置,我们可以查看 `DefaultConfig` 这个定义进行配置。
通过配置,我们例如可以归类哪些 node 是同一个应用,因为我们部署的时候,node 程序是分布式的。例如上面我们加了 APP_NAME,用来区分不同的应用,这样在监控指标中,我们可以区分不同的应用。
## 数据采集
我们前面在 Midway 中引入的组件主要是在 Node 中加了指标模块。接下来我们需要让 Prometheus 来采集我们的指标数据。
如果开发者所在部门已经有 Prometheus+grafana 了,则只需将应用的指标地址上报给 PE 或者通过接口上报即可。此处我们假设大家没有 Prometheus+grafana,然后按照下面描述进行操作。
## 搭建 Prometheus
此处我们通过 docker-compose 来搭建 Prometheus, docker-compose.yml 文件如下:
```yaml
version: "2.2"
services:
tapi:
logging:
driver: "json-file"
options:
max-size: "50m"
image: prom/prometheus
restart: always
volumes:
- ./prometheus_data:/prometheus_data:rw
- ./prometheus.yml:/etc/prometheus/prometheus.yml
- ./targets.json:/etc/prometheus/targets.json
command:
- '--storage.tsdb.path=/prometheus_data'
- '--config.file=/etc/prometheus/prometheus.yml'
- '--storage.tsdb.retention=10d'
- '--web.enable-lifecycle'
ports:
- "9090:9090"
```
`prometheus.yml` 文件如下:
```yaml
global:
scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
scrape_configs:
- job_name: "node"
file_sd_configs:
- refresh_interval: 1m
files:
- "/etc/prometheus/targets.json"
- job_name: 'prometheus'
static_configs:
- targets: ['localhost:9090']
```
然后采集的 `targets.json` 如下:下面文件里面 `${ip}` 替换为 Node.js 应用所在服务器的 ip 地址。
```json
[
{
"targets": [ "${ip}:7001" ],
"labels": {
"env": "prod",
"job": "api"
}
}
]
```
然后当我们修改了这个文件后,通过prometheus的reload方法进行热加载。
然后我们启动 `docker-compose.yml` 文件,
```bash
$ docker-compose up
```
至此,Prometheus 已经会去拉取我们 Node 应用程序的指标数据了。
接下来就是如何展示这些采集到的数据了。
## 数据展示
我们可以借助 Grafana 来展示我们的数据。
此处我们简单通过 Docker 来搭建一下 Grafana:
```bash
$ docker run -d --name=grafana -p 3000:3000 grafana/grafana
```
然后我们访问 127.0.0.1:3000,默认账号密码:admin:admin。
然后访问后如下效果:
![image.png](https://cdn.nlark.com/yuque/0/2021/png/187105/1617260561047-c2643a69-6258-491b-937d-9bfc4558252f.png#height=346&id=yNdWZ&margin=%5Bobject%20Object%5D&name=image.png&originHeight=692&originWidth=1496&originalType=binary&size=551202&status=done&style=none&width=748)
然后我们让 Grafana 接入我们的 Prometheus 数据源:
![image.png](https://cdn.nlark.com/yuque/0/2021/png/187105/1617260581029-1e2e06a8-3054-4ad8-96b5-d50ab9bb1612.png#height=286&id=atAvT&margin=%5Bobject%20Object%5D&name=image.png&originHeight=572&originWidth=1490&originalType=binary&size=169944&status=done&style=none&width=745)
然后我们点击 Grafana 添加图表:
![image.png](https://cdn.nlark.com/yuque/0/2021/png/187105/1617260624113-dd547d04-54be-4a6b-abaf-8dbeb5b85907.png#height=366&id=AsgrW&margin=%5Bobject%20Object%5D&name=image.png&originHeight=732&originWidth=1404&originalType=binary&size=160998&status=done&style=none&width=702)
这边 ID 选择 11159,然后点击 load,然后点击下一步,然后点击 import 后,就能看到我们刚刚接入的效果了。
![image.png](https://cdn.nlark.com/yuque/0/2021/png/187105/1617260639226-ee4afa51-93b8-458a-9f48-7e90b0fd6435.png#height=498&id=chhAE&margin=%5Bobject%20Object%5D&name=image.png&originHeight=996&originWidth=1914&originalType=binary&size=969345&status=done&style=none&width=957)
这样开发者可以运维自己的 Node 程序了,例如,是否最近引入了一个 NPM 包导致了什么内存泄漏的情况,是否最近有应用重启的情况了。
当然还能支持其他的自定义操作。
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"interval": "",
"legendFormat": "{{instance}}: {{process}}:",
"refId": "E"
}
],
"thresholds": [],
"timeFrom": null,
"timeRegions": [],
"timeShift": null,
"title": "Netframework CLR Exceptions",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
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],
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"alignLevel": null
}
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_PROMETHEUS}",
"description": "It shows the number of instant errors received in TCP connections.",
"fieldConfig": {
"defaults": {
"custom": {}
},
"overrides": []
},
"fill": 7,
"fillGradient": 3,
"gridPos": {
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"w": 12,
"x": 0,
"y": 27
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"hiddenSeries": false,
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"pointradius": 2,
"points": true,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
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"legendFormat": " {{instance}}: {{process}}:",
"refId": "A"
}
],
"thresholds": [],
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"title": "TCP Connection Failures",
"tooltip": {
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"sort": 0,
"value_type": "individual"
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}
},
{
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"dashLength": 10,
"dashes": false,
"datasource": "${DS_PROMETHEUS}",
"description": "After the connection is established, it shows the instant number of data transfer.",
"fieldConfig": {
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},
"overrides": []
},
"fill": 7,
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"pointradius": 2,
"points": true,
"renderer": "flot",
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"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
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"interval": "",
"legendFormat": " {{instance}}: {{process}}:",
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}
],
"thresholds": [],
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"timeRegions": [],
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"title": "TCP Connections Established",
"tooltip": {
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"sort": 0,
"value_type": "individual"
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"show": true
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"show": true
}
],
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}
},
{
"datasource": "${DS_PROMETHEUS}",
"description": "Shows the number of connections per minute tried using the web service.",
"fieldConfig": {
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"align": null
},
"mappings": [],
"thresholds": {
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{
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},
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"id": 8,
"options": {
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"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "7.3.7",
"targets": [
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"format": "time_series",
"instant": false,
"interval": "",
"legendFormat": "{{instance}}: {{site}}",
"refId": "A"
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],
"timeFrom": null,
"timeShift": null,
"title": "IIS Connections Attempts",
"type": "stat"
},
{
"datasource": "${DS_PROMETHEUS}",
"description": "Percentage of total users making an anonymous connection with the web service",
"fieldConfig": {
"defaults": {
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},
"mappings": [],
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},
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"fields": "",
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"textMode": "auto"
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"pluginVersion": "7.3.7",
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"legendFormat": "{{instance}}: {{site}}",
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],
"timeFrom": null,
"timeShift": null,
"title": "Anonymous Users Rate ",
"type": "stat"
},
{
"datasource": "${DS_PROMETHEUS}",
"description": "Average number of requests received in one minute in total",
"fieldConfig": {
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"legendFormat": " {{instance}}: {{app}}",
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],
"timeFrom": null,
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"title": "Total Requests Rate",
"type": "stat"
},
{
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"datasource": "${DS_PROMETHEUS}",
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},
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},
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],
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},
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],
"refresh": "5s",
"schemaVersion": 26,
"style": "dark",
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"templating": {
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"includeAll": false,
"label": "Job",
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"name": "job",
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"label": "Application",
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"label": "Hostname",
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},
"time": {
"from": "now-5m",
"to": "now"
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"refresh_intervals": [
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"30s",
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"title": "opentext XECM Server IIS and TCP Connections",
"uid": "bymucahidk",
"version": 6
} | 2021-11-10 14:18:24 UTC | 2021-11-10 14:19:17 UTC | 0 | 0 |
13,366 | 1 | 417,710 | 19,449 | 15 | paug-workload-dashboard-ramstat | paug-workload-dashboard-ramstat | Dashboard template for workload specific pay as you go visualization. Current example is for measuring & monitoring excess memory usage by workload and also auto calculate and display excess memory used [GB-minutes] above pre-defined threshold for selected duration. | 2020-11-09 15:43:49 UTC | 2020-11-09 15:56:14 UTC | 0 | Dashboard template for workload specific pay as you go visualization. Current example is for measuring & monitoring excess memory usage by workload and also auto calculate and display excess memory used [GB-minutes] above pre-defined threshold for selected duration.
Please refer "https://github.com/lokeshbhatt/paug-workload-dashboard" for more details. | 58,000 | 58,001 | Other | null | 0 | 0 | 19,449 | 1 | 13,366 | 1 | 15 | RAMUsage | {
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"label": "InfluxDB-1",
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"type": "datasource",
"pluginId": "influxdb",
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]
},
"description": "Dashboard template for workload specific pay as you go visualization. Current example is for measuring & monitoring excess memory usage by workload and also auto calculate and display excess memory used [GB-minutes] above pre-defined threshold for selected duration.",
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},
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9,625 | 1 | 228,613 | 13,339 | 783 | mysql-table-statistics | MySQL Table Statistics | Copy of dashboards from https://github.com/percona/grafana-dashboards | 2019-01-11 16:12:46 UTC | 2019-01-11 16:13:03 UTC | 0 | Commit 2caf03feaca80cdeebe128ae3282de806a6cb498 from https://github.com/percona/grafana-dashboards | 0 | 0 | Other | null | 0 | 0 | 13,339 | 1 | 9,625 | 1 | 783 | null | {
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"fontSize": "100%",
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{
"content": "The next two graphs are available only for [Percona Server](https://www.percona.com/doc/percona-server/5.6/diagnostics/user_stats.html) and [MariaDB](https://mariadb.com/kb/en/mariadb/user-statistics/) and require `userstat` variable turned on.",
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"selected": false,
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"selected": false,
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"query": "1s,5s,1m,5m,1h,6h,1d",
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"includeAll": false,
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"query": "label_values(mysql_up, instance)",
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"refresh_on_load": false,
"regex": "",
"skipUrlSync": false,
"sort": 1,
"tagValuesQuery": null,
"tags": [],
"tagsQuery": null,
"type": "query",
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},
"time": {
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"to": "now"
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"timepicker": {
"collapse": false,
"enable": true,
"hidden": false,
"notice": false,
"now": true,
"refresh_intervals": [
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"status": "Stable",
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"timezone": "browser",
"title": "MySQL Table Statistics",
"uid": "CiMg9oiik",
"version": 1,
"description": "Copy of dashboards from https://github.com/percona/grafana-dashboards"
} | 2019-01-11 16:12:46 UTC | 2019-01-11 16:13:03 UTC | 0 | 0 |
11,464 | 1 | 324,997 | 16,146 | 783 | cockroach-storage | Cockroach Storage | Storage dashboard: storage availability. | 2019-12-23 22:14:43 UTC | 2019-12-23 22:15:41 UTC | 0 | Storage dashboard: storage availability.
## Requirements:
```
[Prometheus]
job_name: "cockroachdb"
```
[Monitor Cockroach with Prometheus](https://www.cockroachlabs.com/docs/stable/monitor-cockroachdb-with-prometheus.html) | 0 | 0 | null | null | 0 | 0 | 16,146 | 1 | 11,464 | 1 | 783 | null | {
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} | 2020-09-21 06:57:18 UTC | 2020-09-21 06:57:51 UTC | 0 | 0 |
13,206 | 1 | 371,814 | 19,178 | 16 | sn-anomaly | SELKS SN-ANOMALY | Dashboard SELKS for Grafana
SN-ANOMALY
https://github.com/b4b857f6ee/selks_grafana_dashboard | 2020-10-20 19:43:11 UTC | 2020-10-21 18:27:24 UTC | 0 | Follow the information here : https://github.com/b4b857f6ee/selks_grafana_dashboard
And find more dashboard on the github repo
Needed : https://www.stamus-networks.com/scirius-open-source | 57,211 | 57,212 | null | null | 0 | 0 | 19,178 | 1 | 13,206 | 1 | 16 | null | {
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],
"query": "logstash-anomaly-*",
"refId": "A",
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],
"timeFrom": null,
"timeShift": null,
"title": "SN-ANOMALY-EventsList",
"transformations": [
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"id": "filterFieldsByName",
"options": {
"include": {
"names": [
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"src_port",
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"anomaly.event",
"vlan"
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}
},
{
"id": "organize",
"options": {
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"indexByName": {
"@timestamp": 0,
"anomaly.event": 8,
"anomaly.layer": 7,
"anomaly.type": 9,
"dest_ip": 5,
"dest_port": 6,
"event_type": 1,
"proto": 4,
"src_ip": 2,
"src_port": 3
},
"renameByName": {}
}
}
],
"type": "table"
}
],
"refresh": false,
"schemaVersion": 26,
"style": "dark",
"tags": [],
"templating": {
"list": [
{
"current": {
"selected": false,
"text": "Elasticsearch",
"value": "Elasticsearch"
},
"hide": 0,
"includeAll": false,
"label": null,
"multi": false,
"name": "Elasticsearch",
"options": [],
"query": "elasticsearch",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
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]
},
"time": {
"from": "now-24h",
"to": "now"
},
"timepicker": {},
"timezone": "",
"title": "SELKS SN-ANOMALY",
"uid": "pCcojWpGk",
"version": 17,
"description": "Dashboard SELKS for Grafana\r\nSN-ANOMALY\r\nhttps://github.com/b4b857f6ee/selks_grafana_dashboard"
} | 2020-10-20 19:43:11 UTC | 2020-10-20 19:43:35 UTC | 0 | 0 |
16,487 | 1 | 383,613 | 25,156 | 16 | opstree-elasticsearch-sre-dashboard | Opstree/Elasticsearch SRE | Display Elasticsearch metrics for SRE | 2022-06-22 05:18:41 UTC | 2022-06-23 03:21:46 UTC | 0 | ##ES Metrics
**Availability:**
- Cluster Health
**Reliability:**
- Unassigned Shards
- Query Time
**Serviceability:**
- Active Shard
- Initializing Shards
- Reallocating Shards
- Delayed Shards
- Thread Pool Queued
- Thread Pool Active
- Thread Pool Rejected
- GC Time
- JVM Heap Utilization
- CPU Utilization
- Load Average
- Indexing Time
- Merging Time
**Error:**
- Node failure
- Disk utilization
### Contributor Information
**nitish.jha@opstree.com** | 74,270 | 74,271 | Other | null | 0 | 0 | 25,156 | 1 | 16,487 | 1 | 16 | Display Elasticsearch metrics | {
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12,407 | 1 | 389,214 | 17,777 | 16 | eot-devices | EoT Devices | Template for devices in EoT: https://envot.io | 2020-06-04 11:00:49 UTC | 2020-06-04 11:32:53 UTC | 0 | Template to show logged data of devices in an [Environment of Things](https://envot.io). | 53,284 | 53,285 | Other | null | 0 | 0 | 17,777 | 1 | 12,407 | 1 | 16 | null | {
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} | 2022-02-13 05:23:24 UTC | null | 0 | 0 |
14,278 | 1 | 485,664 | 21,017 | 16 | bull-queue-prometheus | Bull Queue Prometheus | Graphs for Bull Queues
https://github.com/UpHabit/bull_exporter | 2021-04-21 00:33:54 UTC | 2021-04-21 00:34:10 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 21,017 | 1 | 14,278 | 1 | 16 | Graphs for Bull Queues
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} | 2021-04-21 00:33:54 UTC | null | 0 | 0 |
13,951 | 1 | 467,346 | 20,441 | 16 | thegeekfreaks-unraid-dashboard-1-1 | TheGeekFreaks Unraid Dashboard 1.1 | Developed byTheGeekFreaks | 2021-02-23 18:30:10 UTC | 2021-02-23 18:30:59 UTC | 0 | null | 0 | 0 | Other | null | 0 | 0 | 20,441 | 1 | 13,951 | 1 | 16 | Developed byTheGeekFreaks | {
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} | 2021-02-23 18:30:10 UTC | null | 0 | 0 |
16,128 | 1 | 107,459 | 24,465 | 16 | dashboard-kaspersky-security-center-geral-vulnerabilidade-de-softwares-emogi | 102- Dashboard Kaspersky Security Center Geral - Vulnerabilidade de Softwares - emogi | O curso "Zabbix 6.0 for Security - Do Zero à Administração do Kaspersky Security Center" objetiva capacitar o aluno(a) a implementar e administrar com excelência esta conceituada solução de segurança em ambientes pequenos, médios e de grande porte.
Curso:
https://go.hotmart.com/T53704086C | 2022-04-18 05:18:22 UTC | 2022-06-21 00:31:32 UTC | 0 | O curso "Zabbix 6.0 for Security - Do Zero à Administração do Kaspersky Security Center" objetiva capacitar o aluno(a) a implementar e administrar com excelência esta conceituada solução de segurança em ambientes pequenos, médios e de grande porte.
Curso:
https://go.hotmart.com/T53704086C | 72,734 | 72,735 | null | null | 0 | 0 | 24,465 | 1 | 16,128 | 1 | 16 | Kaspersky Security Center - do Zero à Monitoração com Zabbix 6.0
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13,696 | 1 | 218,248 | 19,992 | 16 | system-info-dashboard | System Info Dashboard (for Capella applications) | Shows various system information metrics. Based on dashboard 13466 by vasilgerman, with some additions for Capella Cambria applications. | 2021-01-08 22:12:37 UTC | 2021-01-08 22:23:44 UTC | 0 | Shows data collected by Windows System Exporter (using windows_exporter.exe 0.15.0). Based on dashboard 13466 by vasilgerman, with some additions for to show service and sub-processes of Capella Cambria applications. | 59,438 | 59,439 | null | null | 0 | 0 | 19,992 | 1 | 13,696 | 1 | 16 | Shows various system information metrics. Based on dashboard 13466 by vasilgerman. | {
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} | 2022-09-05 13:03:59 UTC | null | 0 | 0 |
16,060 | 1 | 626,646 | 24,367 | 16 | promxox-metrics | ShiftMon Proxmox | Proxmox metrics using the built metric server and victoriametrics | 2022-04-06 03:35:45 UTC | 2022-09-19 18:08:57 UTC | 0 | This Dashboard displays both guest and host usage for all nodes in a Proxmox VE cluster. It uses the built in metrics servers to ship metrics via the influxdb protocol to Victoriametrics This dashboard is a part of the ShiftMon project.
https://gitlab.com/shiftsystems/shift-rmm | 72,418 | 72,419 | Telegraf | This is configured by setting up the metrics server for proxmox in the datacenter section as seen in the screenshot below. You can use https if you have a valid certificate. You can also configure vm-auth and use a bearer token. | 0 | 0 | 24,367 | 1 | 16,060 | 1 | 16 | null | {
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"expr": "system_used{object=\"storages\",nodename=\"$node\"} / system_total{object=\"storages\",nodename=\"$node\"}",
"format": "time_series",
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": "{{ host }}",
"refId": "A"
}
],
"title": "Storage Percent",
"transformations": [],
"type": "gauge"
},
{
"datasource": {
"uid": "${DS_SHIFT-METRICS}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": "auto",
"displayMode": "auto"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "dtdhms"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 4,
"x": 20,
"y": 0
},
"id": 2,
"options": {
"footer": {
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true
},
"pluginVersion": "8.4.5",
"targets": [
{
"exemplar": true,
"expr": "system_uptime{object=\"nodes\"}",
"interval": "",
"legendFormat": "{{host}}",
"refId": "A"
}
],
"title": "Uptime",
"transformations": [
{
"id": "reduce",
"options": {
"reducers": [
"lastNotNull"
]
}
},
{
"id": "organize",
"options": {
"excludeByName": {},
"indexByName": {},
"renameByName": {
"Field": "Node",
"Last *": "Uptime"
}
}
}
],
"type": "table"
},
{
"datasource": {
"uid": "${DS_SHIFT-METRICS}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [],
"max": 1,
"min": 0,
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "#EAB839",
"value": 0.75
},
{
"color": "red",
"value": 0.9
}
]
},
"unit": "percentunit"
},
"overrides": []
},
"gridPos": {
"h": 4,
"w": 5,
"x": 0,
"y": 4
},
"id": 13,
"options": {
"colorMode": "value",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"text": {},
"textMode": "auto"
},
"pluginVersion": "8.4.5",
"targets": [
{
"exemplar": true,
"expr": "system_cpu{object=~\"lxc|qemu\",nodename=\"$node\",host=\"$guest\"}",
"interval": "",
"legendFormat": "{{host}}",
"refId": "A"
}
],
"title": "Guest CPU",
"type": "stat"
},
{
"datasource": {
"uid": "${DS_SHIFT-METRICS}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"mappings": [],
"max": 1,
"min": 0,
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "#EAB839",
"value": 70
},
{
"color": "red",
"value": 95
}
]
},
"unit": "percentunit"
},
"overrides": []
},
"gridPos": {
"h": 4,
"w": 5,
"x": 5,
"y": 4
},
"id": 14,
"options": {
"colorMode": "value",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"text": {},
"textMode": "auto"
},
"pluginVersion": "8.4.5",
"targets": [
{
"exemplar": true,
"expr": "system_mem{object=~\"qemu|lxc\",nodename=\"$node\",host=\"$guest\"} / system_maxmem{object=~\"qemu|lxc\",nodename=\"$node\",host=\"$guest\"}",
"interval": "",
"legendFormat": "{{host}}",
"refId": "A"
}
],
"title": "Guest Mem",
"type": "stat"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_SHIFT-METRICS}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": "auto",
"displayMode": "auto"
},
"mappings": [],
"min": 100,
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "bytes"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 8
},
"id": 11,
"options": {
"footer": {
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"frameIndex": 0,
"showHeader": true,
"sortBy": [
{
"desc": true,
"displayName": "type"
}
]
},
"pluginVersion": "8.4.5",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_SHIFT-METRICS}"
},
"exemplar": false,
"expr": "system_used{object=\"storages\",nodename=\"$node\"} ",
"format": "table",
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": "",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_SHIFT-METRICS}"
},
"exemplar": false,
"expr": "system_total{object=\"storages\",nodename=\"$node\"}",
"format": "table",
"hide": false,
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": "",
"refId": "B"
}
],
"title": "Node Storage",
"transformations": [
{
"id": "seriesToColumns",
"options": {
"byField": "host"
}
},
{
"id": "calculateField",
"options": {
"alias": "Percent",
"binary": {
"left": "Value #A",
"operator": "/",
"reducer": "sum",
"right": "Value #B"
},
"mode": "binary",
"reduce": {
"reducer": "sum"
},
"replaceFields": false
}
},
{
"id": "organize",
"options": {
"excludeByName": {
"Time 1": true,
"Time 2": true,
"__name__ 1": true,
"__name__ 2": true,
"nodename 1": true,
"nodename 2": true,
"object 1": true,
"object 2": true,
"type 2": true
},
"indexByName": {
"Percent": 4,
"Time 1": 5,
"Time 2": 8,
"Value #A": 2,
"Value #B": 3,
"host": 0,
"nodename 1": 6,
"nodename 2": 9,
"object 1": 7,
"object 2": 10,
"type 1": 1,
"type 2": 11
},
"renameByName": {
"Percent": "",
"Time 1": "",
"Value #A": "Used",
"Value #B": "Available",
"host": "Storage",
"type 1": "Type"
}
}
}
],
"type": "table"
},
{
"datasource": {
"uid": "${DS_SHIFT-METRICS}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": "auto",
"displayMode": "auto"
},
"mappings": [
{
"options": {
"qemu": {
"index": 0,
"text": "vm"
}
},
"type": "value"
}
],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 8
},
"id": 16,
"options": {
"footer": {
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"frameIndex": 2,
"showHeader": true
},
"pluginVersion": "8.4.5",
"targets": [
{
"exemplar": true,
"expr": "system_disk{object=~\"qemu|lxc\",nodename=\"$node\"} / 1073742000",
"format": "table",
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": "",
"refId": "A"
},
{
"exemplar": true,
"expr": "system_maxmem{object=~\"lxc|qemu\",nodename=\"$node\"} / 1073742000",
"format": "table",
"hide": false,
"instant": true,
"interval": "",
"legendFormat": "",
"refId": "B"
},
{
"exemplar": true,
"expr": "system_cpus{nodename=\"$node\"}",
"format": "table",
"hide": false,
"instant": true,
"interval": "",
"legendFormat": "",
"refId": "C"
},
{
"exemplar": true,
"expr": "system_mem{object=~\"lxc|qemu\",nodename=\"$node\"} / 1073742000",
"format": "table",
"hide": false,
"instant": true,
"interval": "",
"legendFormat": "",
"refId": "D"
},
{
"exemplar": true,
"expr": "system_cpu{nodename=\"$node\"}",
"format": "table",
"hide": false,
"instant": true,
"interval": "",
"legendFormat": "",
"refId": "E"
}
],
"title": "Guest Resources",
"transformations": [
{
"id": "seriesToColumns",
"options": {
"byField": "vmid"
}
},
{
"id": "organize",
"options": {
"excludeByName": {
"Time 1": true,
"Time 2": true,
"Time 3": true,
"Time 4": true,
"Time 5": true,
"__name__": true,
"__name__ 1": true,
"__name__ 2": true,
"host 2": true,
"host 3": true,
"host 4": true,
"host 5": true,
"nodename 1": true,
"nodename 2": true,
"nodename 3": true,
"nodename 4": true,
"nodename 5": true,
"object 1": false,
"object 2": true,
"object 3": true,
"object 4": true,
"object 5": true
},
"indexByName": {
"Time 1": 8,
"Time 2": 10,
"Time 3": 14,
"Time 4": 18,
"Time 5": 22,
"Value #A": 5,
"Value #B": 4,
"Value #C": 2,
"Value #D": 3,
"Value #E": 1,
"__name__ 1": 26,
"__name__ 2": 27,
"host 1": 0,
"host 2": 11,
"host 3": 15,
"host 4": 19,
"host 5": 23,
"nodename 1": 9,
"nodename 2": 12,
"nodename 3": 16,
"nodename 4": 20,
"nodename 5": 24,
"object 1": 7,
"object 2": 13,
"object 3": 17,
"object 4": 21,
"object 5": 25,
"vmid": 6
},
"renameByName": {
"Value #A": "Disk Used",
"Value #B": "Memory",
"Value #C": "CPU",
"Value #D": "Mem Used",
"Value #E": "CPU Percent",
"host 1": "Guest",
"object 1": "Type"
}
}
}
],
"type": "table"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_SHIFT-METRICS}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "bytes"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 7,
"x": 0,
"y": 16
},
"id": 18,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_SHIFT-METRICS}"
},
"exemplar": true,
"expr": "irate(system_netin{object=~\"lxc|qemu\",nodename=\"$node\"})",
"interval": "",
"legendFormat": "{{host}}_in",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_SHIFT-METRICS}"
},
"exemplar": true,
"expr": "irate(system_netout{object=~\"lxc|qemu\",nodename=\"$node\"})",
"hide": false,
"interval": "",
"legendFormat": "{{host}}_out",
"refId": "B"
}
],
"title": "Guest network Traffic",
"type": "timeseries"
},
{
"datasource": {
"uid": "${DS_SHIFT-METRICS}"
},
"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",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 8,
"x": 7,
"y": 16
},
"id": 22,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"exemplar": true,
"expr": "cpustat_wait{}",
"interval": "",
"legendFormat": "{{host}}",
"refId": "A"
}
],
"title": "iowait",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_SHIFT-METRICS}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "binBps"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 9,
"x": 15,
"y": 16
},
"id": 20,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_SHIFT-METRICS}"
},
"exemplar": true,
"expr": "irate(system_diskread{nodename=\"$node\"})",
"interval": "",
"legendFormat": "{{host}}",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_SHIFT-METRICS}"
},
"exemplar": true,
"expr": "irate(system_diskwrite{nodename=\"$node\"})",
"hide": false,
"interval": "",
"legendFormat": "{{host}}",
"refId": "B"
}
],
"title": "Guest Diskio",
"type": "timeseries"
}
],
"refresh": false,
"schemaVersion": 35,
"style": "dark",
"tags": [],
"templating": {
"list": [
{
"current": {
"selected": false,
"text": "shift-metrics",
"value": "shift-metrics"
},
"hide": 0,
"includeAll": false,
"multi": false,
"name": "metrics",
"options": [],
"query": "prometheus",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"type": "datasource"
},
{
"current": {
"selected": false,
"text": "shift-logs",
"value": "shift-logs"
},
"hide": 0,
"includeAll": false,
"multi": false,
"name": "logs",
"options": [],
"query": "loki",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"type": "datasource"
},
{
"current": {},
"datasource": {
"type": "prometheus",
"uid": "${DS_SHIFT-METRICS}"
},
"definition": "label_values(cpustat_idle{object=\"nodes\"},host)",
"hide": 0,
"includeAll": false,
"multi": false,
"name": "node",
"options": [],
"query": {
"query": "label_values(cpustat_idle{object=\"nodes\"},host)",
"refId": "StandardVariableQuery"
},
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
},
{
"current": {},
"datasource": {
"type": "prometheus",
"uid": "${DS_SHIFT-METRICS}"
},
"definition": "label_values(system_cpu{object=~\"lxc|qemu\",nodename=\"$node\"},host)",
"hide": 0,
"includeAll": false,
"multi": false,
"name": "guest",
"options": [],
"query": {
"query": "label_values(system_cpu{object=~\"lxc|qemu\",nodename=\"$node\"},host)",
"refId": "StandardVariableQuery"
},
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
}
]
},
"time": {
"from": "now-1h",
"to": "now"
},
"timepicker": {},
"timezone": "",
"title": "ShiftMon Proxmox",
"uid": "CcDBg5Knk",
"version": 38,
"weekStart": "",
"gnetId": 16060,
"description": "Proxmox metrics using the built metric server and victoriametrics"
} | 2022-04-06 03:35:45 UTC | 2022-04-06 04:05:38 UTC | 0 | 0 |
11,369 | 1 | 311,115 | 15,962 | 272 | azure-network-security-group-nsg-flows | Azure Network Security Group (NSG) Flows | https://github.com/bhozar/grafana-dashboards
Azure NSG flow log visualization dashboard. | 2019-12-08 21:31:37 UTC | 2019-12-08 22:57:58 UTC | 0 | # Azure NSG Flow Log Dashboard
Dashboard to visualize Azure NSG Flow Logs data from [Logstash Event Hubs plugin](https://www.elastic.co/guide/en/logstash/current/plugins-inputs-azure_event_hubs.html)
Deploy Microsofts [Azure Network Watcher NSG Flow Logs Connector](https://github.com/microsoft/AzureNetworkWatcherNSGFlowLogsConnector) Function App to gather the data. Enabling Application Insights to troubleshoot the Function app is helpful at the start but the cost can quickly add up.
Setup Azure NSG FLow Logs to stream data in an Azure EventHub so the ES plugin can pickup the data.
To control the costs and increase throughput you will want to increase the batch sizes of how often the Logstash Event Hub data source saves the checkpoints to storage, and increase the number of `pipeline.workers` and `pipeline.batch.size` options.
# Bugs, suggestions and feedback
Bug reports, suggestions and feedback to [GitHub](https://github.com/bhozar/grafana-dashboards/tree/master/azurensgflowlog) please!
# Logstash Filters
## 00-input-azureeventhubs.conf
```
input {
azure_event_hubs {
event_hub_connections => ["Endpoint=sb://xxxxxxx.servicebus.windows.net/;SharedAccessKeyName=logstash-ro;SharedAccessKey=..."]
threads => 32
max_batch_size => 1000
# checkpoint_interval => 30
initial_position => "end"
decorate_events => true
consumer_group => "logstash-nsglogs"
## Storage account required to store starting point between restarts
storage_connection => "DefaultEndpointsProtocol=https;AccountName=...EndpointSuffix=core.windows.net"
tags => ["azurensglogs"]
}
}
```
## 01-filter-azure-nsg-logs.conf
```
filter {
if [@metadata][azure_event_hubs][consumer_group] == "logstash-nsglogs" {
# if "azurensglogs" in [tags] {
mutate {
gsub => [ "message", "^{\"records\":\[{", "" ]
gsub => [ "message", "},{.*}]}$", "" ]
gsub => [ "message", "[\"]", "" ]
}
kv {
field_split_pattern => ","
value_split => ":"
}
mutate {
convert => {"startTime" => "integer"}
convert => {"sourcePort" => "integer"}
convert => {"destinationPort" => "integer"}
convert => {"packetsStoD" => "integer"}
convert => {"bytesStoD" => "integer"}
convert => {"packetsDtoS" => "integer"}
convert => {"bytesDtoS" => "integer"}
split => { "[resourceId]" => "/"}
add_field => { "Subscription" => "%{[resourceId][2]}"
"ResourceGroup" => "%{[resourceId][4]}"
"NetworkSecurityGroup" => "%{[resourceId][8]}"
}
convert => {"Subscription" => "string"}
convert => {"ResourceGroup" => "string"}
convert => {"NetworkSecurityGroup" => "string"}
remove_field => [ "[resourceId]" ]
remove_field => [ "message" ]
copy => { "sourceAddress" => "sourceHost" }
copy => { "destinationAddress" => "destinationHost" }
}
date{
match => ["startTime" , "UNIX"]
}
translate {
field => "destinationPort"
destination => "destinationServiceName"
dictionary_path => '/etc/logstash/dictionary.d/iana_service_names_tcp.yml'
}
translate {
field => "destinationPort"
destination => "destinationServiceName"
dictionary_path => '/etc/logstash/dictionary.d/custom_service_names_tcp.yml'
}
cidr {
address => [ "%{[sourceAddress]}" ]
network => [ "0.0.0.0/32", "10.0.0.0/8", "172.16.0.0/12", "192.168.0.0/16", "fc00::/7", "127.0.0.0/8", "::1/128","169.254.0.0/16", "fe80::/10","224.0.0.0/4", "ff00::/8","255.255.255.255/32" ]
add_field => { "[sourceLocality]" => "private" }
}
if [sourceLocality] != "private" {
geoip {
source => "[sourceAddress]"
}
}
# if [sourceLocality] == "private" {
dns {
reverse => [ "sourceHost" ]
action => "replace"
hit_cache_size => 10000
hit_cache_ttl => 3000
failed_cache_size => 2000
failed_cache_ttl => 600
}
# }
dns {
reverse => [ "destinationHost" ]
action => "replace"
hit_cache_size => 10000
hit_cache_ttl => 3000
failed_cache_size => 2000
failed_cache_ttl => 600
}
translate {
field => "sourceAddress"
destination => "sourceAddressMaliciousIP"
dictionary_path => '/etc/logstash/dictionary.d/maliciousIP.yaml'
}
translate {
field => "destinationAddress"
destination => "destinationsAddressMaliciousIP"
dictionary_path => '/etc/logstash/dictionary.d/maliciousIP.yaml'
}
translate {
field => "sourceAddress"
destination => "sourceAddressTorExit"
dictionary_path => '/etc/logstash/dictionary.d/torexit.yaml'
}
translate {
field => "destinationAddress"
destination => "destinationAddressTorExit"
dictionary_path => '/etc/logstash/dictionary.d/torexit.yaml'
}
# Monitoring system IP addresses
translate {
field => "sourceAddress"
destination => "sourceAddressStatusCake"
dictionary_path => '/etc/logstash/dictionary.d/statuscakeIP.yaml'
}
translate {
field => "destinationAddress"
destination => "destinationAddressStatusCake"
dictionary_path => '/etc/logstash/dictionary.d/statuscakeIP.yaml'
}
}
}
```
## Logstash pipelines.yml
```
- pipeline.id: main
path.config: "/etc/logstash/conf.d/*.conf"
pipeline.workers: 16
pipeline.batch.size: 500
```
## Dictionary Files
Example files an scripts to allow download/updating of files are available on [GitHub](https://github.com/bhozar/grafana-dashboards/tree/master/azurensgflowlog/logstash/dictionary.d)
# Screenshots
![Azure NSG Flow Log Dashboard](https://grafana.com/api/dashboards/11369/images/7280/image)
![Azure NSG Flow Log Dashboard](https://grafana.com/api/dashboards/11369/images/7281/image)
| 48,535 | 48,536 | Other | null | 0 | 0 | 15,962 | 1 | 11,369 | 1 | 272 | Network Security Group (NSG) flows | {
"__inputs": [
{
"name": "DS_ELASTICSEARCH-NSG-FLOWS",
"label": "Elasticsearch-nsg-flows",
"description": "",
"type": "datasource",
"pluginId": "elasticsearch",
"pluginName": "Elasticsearch"
}
],
"__requires": [
{
"type": "panel",
"id": "bargauge",
"name": "Bar Gauge",
"version": ""
},
{
"type": "datasource",
"id": "elasticsearch",
"name": "Elasticsearch",
"version": "1.0.0"
},
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "6.5.1"
},
{
"type": "panel",
"id": "graph",
"name": "Graph",
"version": ""
},
{
"type": "panel",
"id": "singlestat",
"name": "Singlestat",
"version": ""
},
{
"type": "panel",
"id": "table",
"name": "Table",
"version": ""
}
],
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": "-- Grafana --",
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"type": "dashboard"
}
]
},
"description": "https://github.com/bhozar/grafana-dashboards\nAzure NSG flow log visualization dashboard.",
"editable": true,
"gnetId": 11369,
"graphTooltip": 0,
"id": 227,
"iteration": 1575840026326,
"links": [],
"panels": [
{
"collapsed": true,
"datasource": null,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 0
},
"id": 78,
"panels": [
{
"aliasColors": {
"Inbound Bytes": "semi-dark-green",
"Outbound Bytes": "semi-dark-yellow"
},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "MetaQueries",
"fill": 1,
"fillGradient": 0,
"gridPos": {
"h": 6,
"w": 24,
"x": 0,
"y": 1
},
"hiddenSeries": false,
"id": 53,
"legend": {
"alignAsTable": true,
"avg": false,
"current": false,
"max": true,
"min": false,
"rightSide": true,
"show": true,
"sort": "total",
"sortDesc": false,
"total": true,
"values": true
},
"lines": true,
"linewidth": 1,
"nullPointMode": "null",
"options": {
"dataLinks": []
},
"percentage": false,
"pointradius": 2,
"points": false,
"renderer": "flot",
"seriesOverrides": [
{
"alias": "/.*Outbound.*/",
"transform": "negative-Y"
},
{
"alias": "/.*Total.*/",
"lines": false
},
{
"alias": "/.*Packets.*/",
"yaxis": 2
}
],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "Bytes Inbound",
"bucketAggs": [
{
"field": "@timestamp",
"id": "2",
"settings": {
"interval": "auto",
"min_doc_count": 1,
"trimEdges": 0
},
"type": "date_histogram"
}
],
"datasource": "Elasticsearch-nsg-flows",
"metrics": [
{
"field": "bytesDtoS",
"id": "1",
"meta": {},
"settings": {},
"type": "sum"
}
],
"query": "deviceDirection.keyword:$devicedirection AND NetworkSecurityGroup.keyword:$nsg AND nsgRuleName.keyword:$nsgrule AND sourceHost.keyword:$sourcehost AND destinationHost.keyword:$destinationhost AND destinationPort:$destinationport AND deviceAction.keyword:$deviceaction",
"refId": "A",
"timeField": "@timestamp"
},
{
"alias": "Bytes Outbound",
"bucketAggs": [
{
"field": "@timestamp",
"id": "2",
"settings": {
"interval": "auto",
"min_doc_count": 1,
"trimEdges": 0
},
"type": "date_histogram"
}
],
"datasource": "Elasticsearch-nsg-flows",
"hide": false,
"metrics": [
{
"field": "bytesStoD",
"id": "1",
"meta": {},
"settings": {},
"type": "sum"
}
],
"query": "deviceDirection.keyword:$devicedirection AND NetworkSecurityGroup.keyword:$nsg AND nsgRuleName.keyword:$nsgrule AND sourceHost.keyword:$sourcehost AND destinationHost.keyword:$destinationhost AND destinationPort:$destinationport AND deviceAction.keyword:$deviceaction",
"refId": "B",
"timeField": "@timestamp"
},
{
"datasource": "MetaQueries",
"expression": "A['Bytes Inbound']+B['Bytes Outbound']",
"hide": false,
"outputMetricName": "Bytes Total",
"periods": 7,
"queryType": "Arithmetic",
"refId": "C",
"timeshiftUnit": "days"
},
{
"alias": "Packets Inbound",
"bucketAggs": [
{
"field": "@timestamp",
"id": "2",
"settings": {
"interval": "auto",
"min_doc_count": 1,
"trimEdges": 0
},
"type": "date_histogram"
}
],
"datasource": "Elasticsearch-nsg-flows",
"metrics": [
{
"field": "packetsDtoS",
"id": "1",
"meta": {},
"settings": {},
"type": "sum"
}
],
"query": "deviceDirection.keyword:$devicedirection AND NetworkSecurityGroup.keyword:$nsg AND nsgRuleName.keyword:$nsgrule AND sourceHost.keyword:$sourcehost AND destinationHost.keyword:$destinationhost AND destinationPort:$destinationport AND deviceAction.keyword:$deviceaction",
"refId": "D",
"timeField": "@timestamp"
},
{
"alias": "Packets Outbound",
"bucketAggs": [
{
"field": "@timestamp",
"id": "2",
"settings": {
"interval": "auto",
"min_doc_count": 1,
"trimEdges": 0
},
"type": "date_histogram"
}
],
"datasource": "Elasticsearch-nsg-flows",
"hide": false,
"metrics": [
{
"field": "packetsStoD",
"id": "1",
"meta": {},
"settings": {},
"type": "sum"
}
],
"query": "deviceDirection.keyword:$devicedirection AND NetworkSecurityGroup.keyword:$nsg AND nsgRuleName.keyword:$nsgrule AND sourceHost.keyword:$sourcehost AND destinationHost.keyword:$destinationhost AND destinationPort:$destinationport AND deviceAction.keyword:$deviceaction",
"refId": "E",
"timeField": "@timestamp"
},
{
"datasource": "MetaQueries",
"expression": "D['Packets Inbound']+E['Packets Outbound']",
"hide": false,
"outputMetricName": "Total Packets",
"periods": 7,
"queryType": "Arithmetic",
"refId": "F",
"timeshiftUnit": "days"
}
],
"thresholds": [],
"timeFrom": null,
"timeRegions": [],
"timeShift": null,
"title": "Bytes and Packet flow",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"format": "decbytes",
"label": "Bytes",
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"format": "short",
"label": "Packets",
"logBase": 1,
"max": null,
"min": null,
"show": true
}
],
"yaxis": {
"align": true,
"alignLevel": null
}
},
{
"cacheTimeout": null,
"datasource": "Elasticsearch-nsg-flows",
"gridPos": {
"h": 8,
"w": 11,
"x": 0,
"y": 7
},
"id": 70,
"links": [],
"options": {
"displayMode": "gradient",
"fieldOptions": {
"calcs": [
"sum"
],
"defaults": {
"mappings": [],
"max": 500000,
"min": 0,
"thresholds": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
],
"unit": "locale"
},
"override": {},
"values": false
},
"orientation": "horizontal"
},
"pluginVersion": "6.5.1",
"targets": [
{
"alias": "{{term destinationPort}} ({{term destinationServiceName.keyword}})",
"bucketAggs": [
{
"fake": true,
"field": "destinationPort",
"id": "4",
"settings": {
"min_doc_count": 1,
"order": "desc",
"orderBy": "_count",
"size": "10"
},
"type": "terms"
},
{
"fake": true,
"field": "destinationServiceName.keyword",
"id": "3",
"settings": {
"min_doc_count": 1,
"order": "desc",
"orderBy": "_count",
"size": "10"
},
"type": "terms"
},
{
"field": "@timestamp",
"id": "2",
"settings": {
"interval": "20m",
"min_doc_count": 1,
"trimEdges": 0
},
"type": "date_histogram"
}
],
"metrics": [
{
"field": "select field",
"id": "1",
"type": "count"
}
],
"query": "deviceDirection.keyword:$devicedirection AND NetworkSecurityGroup.keyword:$nsg AND nsgRuleName.keyword:$nsgrule AND sourceHost.keyword:$sourcehost AND destinationHost.keyword:$destinationhost AND destinationPort:$destinationport AND deviceAction.keyword:$deviceaction",
"refId": "A",
"timeField": "@timestamp"
}
],
"timeFrom": null,
"timeShift": null,
"title": "Top 10 Services by Destination",
"type": "bargauge"
},
{
"cacheTimeout": null,
"datasource": "Elasticsearch-nsg-flows",
"gridPos": {
"h": 16,
"w": 13,
"x": 11,
"y": 7
},
"id": 118,
"links": [],
"options": {
"displayMode": "gradient",
"fieldOptions": {
"calcs": [
"sum"
],
"defaults": {
"mappings": [],
"max": 500000,
"min": 0,
"thresholds": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
],
"unit": "locale"
},
"override": {},
"values": false
},
"orientation": "horizontal"
},
"pluginVersion": "6.5.1",
"targets": [
{
"alias": "{{term destinationPort}} ({{term destinationServiceName.keyword}})",
"bucketAggs": [
{
"fake": true,
"field": "destinationPort",
"id": "4",
"settings": {
"min_doc_count": 1,
"order": "desc",
"orderBy": "_count",
"size": "20"
},
"type": "terms"
},
{
"fake": true,
"field": "destinationServiceName.keyword",
"id": "3",
"settings": {
"min_doc_count": 1,
"order": "desc",
"orderBy": "_count",
"size": "20"
},
"type": "terms"
},
{
"field": "@timestamp",
"id": "2",
"settings": {
"interval": "20m",
"min_doc_count": 1,
"trimEdges": 0
},
"type": "date_histogram"
}
],
"metrics": [
{
"field": "select field",
"id": "1",
"type": "count"
}
],
"query": "deviceDirection.keyword:$devicedirection AND NetworkSecurityGroup.keyword:$nsg AND nsgRuleName.keyword:$nsgrule AND sourceHost.keyword:$sourcehost AND destinationHost.keyword:$destinationhost AND destinationPort:$destinationport AND deviceAction.keyword:$deviceaction",
"refId": "A",
"timeField": "@timestamp"
}
],
"timeFrom": null,
"timeShift": null,
"title": "Top 20 Low Port Number Services by Destination",
"type": "bargauge"
},
{
"cacheTimeout": null,
"colorBackground": true,
"colorValue": false,
"colors": [
"#d44a3a",
"rgba(237, 129, 40, 0.89)",
"#299c46"
],
"datasource": "Elasticsearch-nsg-flows",
"format": "none",
"gauge": {
"maxValue": 100,
"minValue": 0,
"show": false,
"thresholdLabels": false,
"thresholdMarkers": true
},
"gridPos": {
"h": 2,
"w": 11,
"x": 0,
"y": 15
},
"id": 7,
"interval": null,
"links": [],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"nullPointMode": "connected",
"nullText": null,
"options": {},
"postfix": "",
"postfixFontSize": "70%",
"prefix": "Flow Count<br>🧮",
"prefixFontSize": "70%",
"rangeMaps": [
{
"from": "null",
"text": "N/A",
"to": "null"
}
],
"sparkline": {
"fillColor": "rgba(31, 118, 189, 0.18)",
"full": false,
"lineColor": "rgb(31, 120, 193)",
"show": false,
"ymax": null,
"ymin": null
},
"tableColumn": "",
"targets": [
{
"bucketAggs": [
{
"field": "@timestamp",
"id": "2",
"settings": {
"interval": "auto",
"min_doc_count": 0,
"trimEdges": 0
},
"type": "date_histogram"
}
],
"metrics": [
{
"field": "select field",
"id": "1",
"type": "count"
}
],
"query": "deviceDirection.keyword:$devicedirection AND NetworkSecurityGroup.keyword:$nsg AND nsgRuleName.keyword:$nsgrule AND sourceHost.keyword:$sourcehost AND destinationHost.keyword:$destinationhost AND destinationPort:$destinationport AND deviceAction.keyword:$deviceaction",
"refId": "A",
"timeField": "@timestamp"
}
],
"thresholds": "0,10",
"timeFrom": null,
"timeShift": null,
"title": "",
"transparent": true,
"type": "singlestat",
"valueFontSize": "80%",
"valueMaps": [
{
"op": "=",
"text": "N/A",
"value": "null"
}
],
"valueName": "total"
},
{
"circleMaxSize": "30",
"circleMinSize": "3",
"colors": [
"rgba(0, 247, 0, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(240, 4, 45, 0.97)"
],
"datasource": "Elasticsearch-nsg-flows",
"decimals": 0,
"esGeoPoint": "geoip.location",
"esLocationName": "geoip.city_name.keyword",
"esMetric": "Count",
"gridPos": {
"h": 14,
"w": 11,
"x": 0,
"y": 17
},
"height": "600px",
"hideEmpty": true,
"hideZero": true,
"id": 51,
"initialZoom": "2",
"links": [],
"locationData": "table",
"mapCenter": "(0°, 0°)",
"mapCenterLatitude": 0,
"mapCenterLongitude": 0,
"maxDataPoints": 1,
"mouseWheelZoom": true,
"options": {},
"showLegend": true,
"stickyLabels": false,
"tableQueryOptions": {
"geohashField": "geohash",
"labelField": "geoip.city_name.keyword",
"latitudeField": "geoip.latitude",
"longitudeField": "geoip.longitude",
"metricField": "Count",
"queryType": "coordinates"
},
"targets": [
{
"alias": "count",
"bucketAggs": [
{
"fake": true,
"field": "geoip.latitude",
"id": "4",
"settings": {
"min_doc_count": 1,
"order": "desc",
"orderBy": "_count",
"size": "0"
},
"type": "terms"
},
{
"fake": true,
"field": "geoip.longitude",
"id": "5",
"settings": {
"min_doc_count": 1,
"order": "desc",
"orderBy": "_count",
"size": "0"
},
"type": "terms"
},
{
"fake": true,
"field": "geoip.city_name.keyword",
"id": "3",
"settings": {
"min_doc_count": 1,
"order": "desc",
"orderBy": "_count",
"size": "0"
},
"type": "terms"
}
],
"dsType": "elasticsearch",
"metrics": [
{
"field": "select field",
"id": "1",
"type": "count"
}
],
"query": "!sourceLocality.keyword:private AND deviceDirection.keyword:$devicedirection AND NetworkSecurityGroup.keyword:$nsg AND nsgRuleName.keyword:$nsgrule AND sourceHost.keyword:$sourcehost AND destinationHost.keyword:$destinationhost AND destinationPort:$destinationport AND deviceAction.keyword:$deviceaction",
"refId": "A",
"timeField": "@timestamp"
}
],
"thresholds": "1000,10000",
"title": "Public IP's",
"transparent": true,
"type": "grafana-worldmap-panel",
"unitPlural": "",
"unitSingle": "",
"valueName": "total"
},
{
"cacheTimeout": null,
"colorBackground": true,
"colorPrefix": false,
"colorValue": false,
"colors": [
"#299c46",
"rgba(237, 129, 40, 0.89)",
"#d44a3a"
],
"datasource": "Elasticsearch-nsg-flows",
"format": "none",
"gauge": {
"maxValue": 100,
"minValue": 0,
"show": false,
"thresholdLabels": false,
"thresholdMarkers": true
},
"gridPos": {
"h": 2,
"w": 4,
"x": 11,
"y": 23
},
"id": 25,
"interval": null,
"links": [],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"nullPointMode": "connected",
"nullText": null,
"options": {},
"postfix": "<br>Denied Flows",
"postfixFontSize": "50%",
"prefix": "❌",
"prefixFontSize": "70%",
"rangeMaps": [
{
"from": "null",
"text": "N/A",
"to": "null"
}
],
"sparkline": {
"fillColor": "rgba(31, 118, 189, 0.18)",
"full": false,
"lineColor": "rgb(31, 120, 193)",
"show": false,
"ymax": null,
"ymin": null
},
"tableColumn": "",
"targets": [
{
"bucketAggs": [
{
"field": "@timestamp",
"id": "2",
"settings": {
"interval": "auto",
"min_doc_count": 0,
"trimEdges": 0
},
"type": "date_histogram"
}
],
"metrics": [
{
"field": "select field",
"id": "1",
"type": "count"
}
],
"query": "deviceAction.keyword:D AND deviceDirection.keyword:$devicedirection AND NetworkSecurityGroup.keyword:$nsg AND nsgRuleName.keyword:$nsgrule AND sourceHost.keyword:$sourcehost AND destinationHost.keyword:$destinationhost AND destinationPort:$destinationport",
"refId": "A",
"timeField": "@timestamp"
}
],
"thresholds": "1,2",
"timeFrom": null,
"timeShift": null,
"title": "",
"transparent": true,
"type": "singlestat",
"valueFontSize": "80%",
"valueMaps": [
{
"op": "=",
"text": "N/A",
"value": "null"
}
],
"valueName": "total"
},
{
"cacheTimeout": null,
"colorBackground": true,
"colorValue": false,
"colors": [
"#d44a3a",
"rgba(237, 129, 40, 0.89)",
"#299c46"
],
"datasource": "Elasticsearch-nsg-flows",
"format": "none",
"gauge": {
"maxValue": 100,
"minValue": 0,
"show": false,
"thresholdLabels": false,
"thresholdMarkers": true
},
"gridPos": {
"h": 2,
"w": 4,
"x": 15,
"y": 23
},
"id": 26,
"interval": null,
"links": [],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"nullPointMode": "connected",
"nullText": null,
"options": {},
"postfix": "<br><right>Accepted Flows</right>",
"postfixFontSize": "50%",
"prefix": "✔️",
"prefixFontSize": "70%",
"rangeMaps": [
{
"from": "null",
"text": "N/A",
"to": "null"
}
],
"sparkline": {
"fillColor": "rgba(31, 118, 189, 0.18)",
"full": false,
"lineColor": "rgb(31, 120, 193)",
"show": false,
"ymax": null,
"ymin": null
},
"tableColumn": "",
"targets": [
{
"bucketAggs": [
{
"field": "@timestamp",
"id": "2",
"settings": {
"interval": "auto",
"min_doc_count": 0,
"trimEdges": 0
},
"type": "date_histogram"
}
],
"metrics": [
{
"field": "select field",
"id": "1",
"type": "count"
}
],
"query": "deviceAction.keyword:A AND deviceDirection.keyword:$devicedirection AND NetworkSecurityGroup.keyword:$nsg AND nsgRuleName.keyword:$nsgrule AND sourceHost.keyword:$sourcehost AND destinationHost.keyword:$destinationhost AND destinationPort:$destinationport",
"refId": "A",
"timeField": "@timestamp"
}
],
"thresholds": "0,10",
"timeFrom": null,
"timeShift": null,
"title": "",
"transparent": true,
"type": "singlestat",
"valueFontSize": "80%",
"valueMaps": [
{
"op": "=",
"text": "N/A",
"value": "null"
}
],
"valueName": "total"
},
{
"cacheTimeout": null,
"colorBackground": true,
"colorValue": false,
"colors": [
"#d44a3a",
"rgba(237, 129, 40, 0.89)",
"#299c46"
],
"datasource": "Elasticsearch-nsg-flows",
"format": "dateTimeAsUS",
"gauge": {
"maxValue": 100,
"minValue": 0,
"show": false,
"thresholdLabels": false,
"thresholdMarkers": true
},
"gridPos": {
"h": 2,
"w": 5,
"x": 19,
"y": 23
},
"id": 67,
"interval": null,
"links": [],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"nullPointMode": "connected",
"nullText": null,
"options": {},
"postfix": "",
"postfixFontSize": "50%",
"prefix": "Latest Flow<br>📆",
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} | 2019-12-08 21:31:37 UTC | 2019-12-08 22:57:58 UTC | 0 | 0 |
15,580 | 1 | 590,789 | 23,523 | 17 | home | Internetspeed | Small dashboard visualize upload, download and ping (current and timewindow of today) | 2022-01-19 21:06:27 UTC | 2022-01-19 21:14:44 UTC | 0 | It uses the build in [[inputs.internet_speed]], so no need for speedtest_cli but no jitter
https://github.com/influxdata/telegraf/issues/9852
reading from an bucket in influxdb_v2 called telegraf | 0 | 0 | Telegraf | null | 0 | 0 | 23,523 | 1 | 15,580 | 1 | 17 | null | {
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} | 2022-01-19 21:06:27 UTC | 2022-01-19 21:14:44 UTC | 0 | 0 |
12,970 | 1 | 415,265 | 18,761 | 17 | mpdv-process-data-overview | MPDV Process data - Overview | Status overview of all subcategories of process data processing | 2020-09-08 08:09:17 UTC | 2020-09-15 08:48:45 UTC | 0 | null | 56,123 | 56,124 | Other | null | 0 | 0 | 18,761 | 1 | 12,970 | 1 | 17 | null | {
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} | 2020-09-08 08:09:17 UTC | 2020-09-08 08:10:17 UTC | 0 | 0 |
14,296 | 1 | 190,574 | 21,051 | 17 | lolminer | Prometheus lolMiner Exporter | Example dashboard for HON95's Prometheus lolMiner Exporter | 2021-04-23 18:50:12 UTC | 2021-05-06 23:16:30 UTC | 0 | [Prometheus lolMiner Exporter by HON95](https://github.com/HON95/prometheus-lolminer-exporter) | 0 | 0 | Other | null | 0 | 0 | 21,051 | 1 | 14,296 | 1 | 17 | null | {
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} | 2021-04-23 18:50:12 UTC | 2021-04-23 18:54:05 UTC | 0 | 0 |
14,880 | 1 | 532,050 | 22,174 | 17 | reef-node | Reef Node | Reef network node metrics | 2021-08-18 01:42:08 UTC | 2021-08-18 01:52:19 UTC | 0 | Reef Node by default serves Prometheus metrics on port 9615.
It is based on the https://grafana.com/grafana/dashboards/12425. Thanks phillux!
Example Prometheus configuration to scrape Reef Node metrics each 5s.
```
scrape_configs:
- job_name: 'reef-node'
# Override the global default and scrape targets from this job every 5 seconds.
scrape_interval: 5s
static_configs:
- targets: ['127.0.0.1:9615']
```
Next, you need to set up Prometheus as the Data Source in the Grafana and import this Dashboard. | 65,954 | 65,955 | Other | null | 0 | 0 | 22,174 | 1 | 14,880 | 1 | 17 | Reef network node metrics | {
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13,931 | 1 | 466,503 | 20,405 | 17 | open-weather-map | Open Weather Map | Access current weather data for any location on Earth including over 200,000 cities! | 2021-02-19 21:50:42 UTC | 2021-02-19 21:50:49 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 20,405 | 1 | 13,931 | 1 | 17 | Access current weather data for any location on Earth including over 200,000 cities! | {
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"type": "alias"
}
],
[
{
"params": [
"sys_sunset"
],
"type": "field"
},
{
"params": [
"*1000"
],
"type": "math"
},
{
"params": [
"Sunset time"
],
"type": "alias"
}
]
],
"tags": [
{
"key": "sys_country",
"operator": "=~",
"value": "/^$country$/"
},
{
"condition": "AND",
"key": "name",
"operator": "=~",
"value": "/^$city$/"
}
]
}
],
"title": "Current weather data",
"transform": "table",
"type": "table"
}
],
"title": "General",
"type": "row"
}
],
"schemaVersion": 16,
"style": "dark",
"tags": [],
"templating": {
"list": [
{
"allValue": null,
"current": {},
"datasource": "${DS_SNMP}",
"definition": "SHOW TAG VALUES FROM \"openweathermap\" WITH KEY = \"sys_country\"",
"hide": 2,
"includeAll": true,
"label": "Country",
"multi": true,
"name": "country",
"options": [],
"query": "SHOW TAG VALUES FROM \"openweathermap\" WITH KEY = \"sys_country\"",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 1,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
"allValue": null,
"current": {},
"datasource": "${DS_SNMP}",
"definition": "SHOW TAG VALUES FROM \"openweathermap\" WITH KEY = \"name\"",
"hide": 0,
"includeAll": true,
"label": "City",
"multi": true,
"name": "city",
"options": [],
"query": "SHOW TAG VALUES FROM \"openweathermap\" WITH KEY = \"name\"",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 1,
"tagValuesQuery": "SHOW TAG VALUES FROM \"openweathermap\" WITH KEY = \"name\" WHERE sys_country= '$tag'",
"tags": [
"BY",
"CA",
"CN",
"DE",
"FR",
"GB",
"JP",
"RU",
"UA",
"US"
],
"tagsQuery": "SHOW TAG VALUES FROM \"openweathermap\" WITH KEY = \"sys_country\"",
"type": "query",
"useTags": true
}
]
},
"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": "Open Weather Map",
"uid": "7wISvn_iz",
"version": 2
} | 2021-02-19 21:50:42 UTC | null | 0 | 0 |
11,089 | 1 | 308,494 | 15,498 | 17 | embers-detailed-data | EMBERS_detailed_data | Στοιχεία στάθμευσης από τις οδούς Γαριβάλδη και Όθωνος | 2019-11-04 12:17:54 UTC | 2019-11-04 12:18:48 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 15,498 | 1 | 11,089 | 1 | 17 | null | {
"__inputs": [
{
"name": "DS_GEORGE",
"label": "george",
"description": "",
"type": "datasource",
"pluginId": "mysql",
"pluginName": "MySQL"
}
],
"__requires": [
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "5.2.2"
},
{
"type": "datasource",
"id": "mysql",
"name": "MySQL",
"version": "5.0.0"
},
{
"type": "panel",
"id": "singlestat",
"name": "Singlestat",
"version": "5.0.0"
},
{
"type": "panel",
"id": "table",
"name": "Table",
"version": "5.0.0"
}
],
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": "-- Grafana --",
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"type": "dashboard"
}
]
},
"editable": true,
"gnetId": 11089,
"graphTooltip": 0,
"id": null,
"links": [],
"panels": [
{
"cacheTimeout": null,
"colorBackground": false,
"colorValue": true,
"colors": [
"#508642",
"#64b0c8",
"#d44a3a"
],
"datasource": "${DS_GEORGE}",
"format": "none",
"gauge": {
"maxValue": 100,
"minValue": 0,
"show": false,
"thresholdLabels": false,
"thresholdMarkers": true
},
"gridPos": {
"h": 7,
"w": 7,
"x": 0,
"y": 0
},
"id": 8,
"interval": null,
"links": [],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"nullPointMode": "connected",
"nullText": null,
"postfix": " spots",
"postfixFontSize": "100%",
"prefix": "",
"prefixFontSize": "50%",
"rangeMaps": [
{
"from": "null",
"text": "N/A",
"to": "null"
}
],
"sparkline": {
"fillColor": "rgba(31, 118, 189, 0.18)",
"full": false,
"lineColor": "rgb(31, 120, 193)",
"show": false
},
"tableColumn": "count(distinct ParkingSpotID)",
"targets": [
{
"alias": "",
"format": "table",
"rawSql": " select \tcount(distinct ParkingSpotID)\n from ParkingEvent ;\n ",
"refId": "A"
}
],
"thresholds": "",
"title": "Total Parking Spots",
"type": "singlestat",
"valueFontSize": "170%",
"valueMaps": [
{
"op": "=",
"text": "N/A",
"value": "null"
}
],
"valueName": "avg"
},
{
"cacheTimeout": null,
"colorBackground": false,
"colorValue": true,
"colors": [
"#299c46",
"rgba(237, 129, 40, 0.89)",
"#d44a3a"
],
"datasource": "${DS_GEORGE}",
"format": "none",
"gauge": {
"maxValue": 47,
"minValue": 0,
"show": true,
"thresholdLabels": false,
"thresholdMarkers": true
},
"gridPos": {
"h": 7,
"w": 9,
"x": 7,
"y": 0
},
"id": 10,
"interval": null,
"links": [],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"nullPointMode": "connected",
"nullText": null,
"postfix": "",
"postfixFontSize": "50%",
"prefix": "",
"prefixFontSize": "50%",
"rangeMaps": [
{
"from": "null",
"text": "N/A",
"to": "null"
}
],
"sparkline": {
"fillColor": "rgba(31, 118, 189, 0.18)",
"full": false,
"lineColor": "rgb(31, 120, 193)",
"show": false
},
"tableColumn": "occuppied",
"targets": [
{
"alias": "",
"format": "table",
"rawSql": "select \n occuppied \n from ( select \tcount(*)-count(EndTimestamp='NULL') as occuppied, \n count(EndTimestamp='NULL') as free \n from ParkingEvent \n where ParkingEventID in (\tselect max(ParkingEventID) as id \n from ParkingEvent \n group by ParkingSpotID)) a;",
"refId": "A"
}
],
"thresholds": "20, 38",
"title": "Occupied Parking Spots",
"type": "singlestat",
"valueFontSize": "80%",
"valueMaps": [
{
"op": "=",
"text": "N/A",
"value": "null"
}
],
"valueName": "avg"
},
{
"cacheTimeout": null,
"colorBackground": false,
"colorValue": true,
"colors": [
"#299c46",
"rgba(237, 129, 40, 0.89)",
"#d44a3a"
],
"datasource": "${DS_GEORGE}",
"format": "none",
"gauge": {
"maxValue": 100,
"minValue": 0,
"show": false,
"thresholdLabels": false,
"thresholdMarkers": true
},
"gridPos": {
"h": 7,
"w": 8,
"x": 16,
"y": 0
},
"id": 12,
"interval": null,
"links": [],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"nullPointMode": "connected",
"nullText": null,
"postfix": "",
"postfixFontSize": "50%",
"prefix": "",
"prefixFontSize": "50%",
"rangeMaps": [
{
"from": "null",
"text": "N/A",
"to": "null"
}
],
"sparkline": {
"fillColor": "rgba(31, 118, 189, 0.18)",
"full": false,
"lineColor": "rgb(31, 120, 193)",
"show": false
},
"tableColumn": "pct_occuppied",
"targets": [
{
"alias": "",
"format": "table",
"rawSql": "select \n \n concat(round((occuppied/(occuppied+free))* 100,2),'%') as pct_occuppied \nfrom ( select \tcount(*)-count(EndTimestamp='NULL') as occuppied, \n count(EndTimestamp='NULL') as free \n from ParkingEvent \n where ParkingEventID in (\tselect max(ParkingEventID) as id \n from ParkingEvent \n group by ParkingSpotID)) a;",
"refId": "A"
}
],
"thresholds": "",
"title": "Percentage of Occuppied",
"type": "singlestat",
"valueFontSize": "170%",
"valueMaps": [
{
"op": "=",
"text": "N/A",
"value": "null"
}
],
"valueName": "avg"
},
{
"columns": [],
"datasource": "${DS_GEORGE}",
"fontSize": "100%",
"gridPos": {
"h": 14,
"w": 24,
"x": 0,
"y": 7
},
"id": 4,
"links": [],
"pageSize": null,
"scroll": true,
"showHeader": true,
"sort": {
"col": null,
"desc": false
},
"styles": [
{
"alias": "Time",
"dateFormat": "YYYY-MM-DD HH:mm:ss",
"pattern": "Time",
"type": "date"
},
{
"alias": "Parking Event ID ",
"colorMode": null,
"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": 0,
"mappingType": 1,
"pattern": "ParkingEventID",
"thresholds": [],
"type": "number",
"unit": "none"
},
{
"alias": "Entry Date",
"colorMode": null,
"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": "EntryDate",
"thresholds": [],
"type": "date",
"unit": "short"
},
{
"alias": "Start Timestamp",
"colorMode": null,
"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": "StartTimestamp",
"thresholds": [],
"type": "date",
"unit": "short"
},
{
"alias": "End Timestamp",
"colorMode": null,
"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": "EndTimestamp",
"thresholds": [],
"type": "date",
"unit": "short"
},
{
"alias": "",
"colorMode": null,
"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": [
{
"alias": "",
"format": "table",
"rawSql": "select * from PARKINGSPOT_LATEST_EVENT_PER_SPOT\n ",
"refId": "A"
}
],
"title": "Latest Activity per spot",
"transform": "table",
"type": "table"
},
{
"columns": [],
"datasource": "${DS_GEORGE}",
"fontSize": "100%",
"gridPos": {
"h": 22,
"w": 24,
"x": 0,
"y": 21
},
"id": 6,
"links": [],
"pageSize": null,
"scroll": true,
"showHeader": true,
"sort": {
"col": 0,
"desc": true
},
"styles": [
{
"alias": "Time",
"dateFormat": "YYYY-MM-DD HH:mm:ss",
"pattern": "Time",
"type": "date"
},
{
"alias": "Parking Event ID",
"colorMode": null,
"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": 0,
"mappingType": 1,
"pattern": "ParkingEventID",
"thresholds": [],
"type": "number",
"unit": "none"
},
{
"alias": "Entry Date",
"colorMode": null,
"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": "EntryDate",
"thresholds": [],
"type": "date",
"unit": "short"
},
{
"alias": "Start Timestamp",
"colorMode": null,
"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": "StartTimestamp",
"thresholds": [],
"type": "date",
"unit": "short"
},
{
"alias": "End Timestamp",
"colorMode": null,
"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": "EndTimestamp",
"thresholds": [],
"type": "date",
"unit": "short"
},
{
"alias": "",
"colorMode": null,
"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": [
{
"alias": "",
"format": "table",
"rawSql": "SELECT * from PARKINGSPOT_ALL_ACTIVITY;",
"refId": "A"
}
],
"title": "All Activity",
"transform": "table",
"type": "table"
}
],
"schemaVersion": 16,
"style": "dark",
"tags": [],
"templating": {
"list": []
},
"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": "EMBERS_detailed_data",
"uid": "IMVwOGTmk",
"version": 4,
"description": "Στοιχεία στάθμευσης από τις οδούς Γαριβάλδη και Όθωνος"
} | 2019-11-04 12:17:54 UTC | 2019-11-04 12:18:48 UTC | 0 | 0 |
16,802 | 1 | 699,298 | 25,756 | 17 | 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/4411 | 2022-08-29 03:47:34 UTC | 2022-08-29 03:53:16 UTC | 0 | Tested with infludb version (influxdb:1.8) and grafana 8.4
Docker compose file looks like below
```yml
version: '3.4'
networks:
k6:
grafana:
services:
influxdb:
image: influxdb:1.8
networks:
- k6
- grafana
ports:
- "8086:8086"
environment:
- INFLUXDB_DB=k6
grafana:
image: grafana/grafana:8.4.10
networks:
- grafana
ports:
- "3000:3000"
environment:
- GF_AUTH_ANONYMOUS_ORG_ROLE=Admin
- GF_AUTH_ANONYMOUS_ENABLED=true
- GF_AUTH_BASIC_ENABLED=false
volumes:
- ./grafana:/etc/grafana/provisioning/
``` | 76,212 | 76,213 | null | null | 0 | 0 | 25,756 | 1 | 16,802 | 1 | 17 | A dashboard for visualizing results from the k6.io load testing tool, using the InfluxDB exporter.Based on https://grafana.com/dashboards/4411 | {
"__inputs": [
{
"name": "DS_INFLUXDB",
"label": "InfluxDB",
"description": "",
"type": "datasource",
"pluginId": "influxdb",
"pluginName": "InfluxDB"
}
],
"__elements": [],
"__requires": [
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "8.4.10"
},
{
"type": "panel",
"id": "graph",
"name": "Graph (old)",
"version": ""
},
{
"type": "panel",
"id": "heatmap",
"name": "Heatmap",
"version": ""
},
{
"type": "datasource",
"id": "influxdb",
"name": "InfluxDB",
"version": "1.0.0"
},
{
"type": "panel",
"id": "stat",
"name": "Stat",
"version": ""
},
{
"type": "panel",
"id": "table-old",
"name": "Table (old)",
"version": ""
},
{
"type": "panel",
"id": "text",
"name": "Text",
"version": ""
}
],
"annotations": {
"list": [
{
"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"
}
]
},
"description": "A dashboard for visualizing results from the k6.io load testing tool, using the InfluxDB exporter.Based on https://grafana.com/dashboards/4411",
"editable": true,
"fiscalYearStartMonth": 0,
"gnetId": 16802,
"graphTooltip": 2,
"id": null,
"iteration": 1661744707309,
"links": [],
"liveNow": false,
"panels": [
{
"collapsed": true,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 0
},
"id": 68,
"panels": [
{
"content": "### To choose which measurements to show, use the **Measurements** drop-down in the top left corner!\n\nK6 collects metrics for several phases during the HTTP request lifetime.\n\nThe combined delays for the application and network (send, wait, recieve) are available in this metric:\n * **http_req_duration** _( Total time for request, excluding time spent blocked (http_req_blocked), DNS lookup (http_req_looking_up) and TCP connect (http_req_connecting) time. )_\n\nThis metric can also be broken down into these metrics:\n * **http_req_tls_handshaking** _( Time spent handshaking TLS session with remote host. )_\n * **http_req_sending** _( Time spent sending data to remote host. )_\n * **http_req_waiting** _( Time spent waiting for response from remote host (a.k.a. \"time to first byte\", or \"TTFB\"). )_\n * **http_req_receiving** _( Time spent receiving response data from remote host. )_\n\nThese metrics measure delays and durations on the client:\n\n * **http_req_blocked** _( Time spent blocked (waiting for a free TCP connection slot) before initiating request. )_\n * **http_req_looking_up** _( Time spent looking up remote host name in DNS. )_\n * **http_req_connecting** _( Time spent establishing TCP connection to remote host. )_\n\n\n### View official K6.io documentation here: [https://docs.k6.io/docs/result-metrics][1]\n\n\n[1]: https://docs.k6.io/docs/result-metrics\n\n",
"gridPos": {
"h": 7,
"w": 24,
"x": 0,
"y": 1
},
"id": 66,
"links": [],
"mode": "markdown",
"title": "",
"transparent": true,
"type": "text"
}
],
"title": "Documentation",
"type": "row"
},
{
"collapsed": false,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 1
},
"id": 69,
"panels": [],
"title": "K6 Test overview (all URLs)",
"type": "row"
},
{
"aliasColors": {},
"bars": true,
"dashLength": 10,
"dashes": false,
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"fill": 1,
"fillGradient": 0,
"gridPos": {
"h": 7,
"w": 6,
"x": 0,
"y": 2
},
"hiddenSeries": false,
"id": 1,
"interval": ">1s",
"legend": {
"alignAsTable": true,
"avg": false,
"current": false,
"max": true,
"min": true,
"show": true,
"total": false,
"values": true
},
"lines": false,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"options": {
"alertThreshold": true
},
"percentage": false,
"pluginVersion": "8.4.10",
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"alias": "Active VUs",
"dsType": "influxdb",
"groupBy": [
{
"params": [
"1s"
],
"type": "time"
},
{
"params": [
"none"
],
"type": "fill"
}
],
"measurement": "vus",
"orderByTime": "ASC",
"policy": "default",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"value"
],
"type": "field"
},
{
"params": [],
"type": "sum"
}
]
],
"tags": []
}
],
"thresholds": [],
"timeRegions": [],
"title": "Virtual Users",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"mode": "time",
"show": true,
"values": []
},
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2,580 | 1 | 70,974 | 3,477 | 785 | riverbed | Dual Band Monitoring | Dashboard para Monitoramento de banda, podendo selecionar as variaveis de grupo, host e Itens | 2017-07-05 10:00:22 UTC | 2017-07-05 10:10:06 UTC | 0 | Dashboard para Monitoramento de banda, podendo selecionar as variaveis de grupo, host e Itens | 12,093 | 12,096 | null | null | 1 | 3 | 3,477 | 1 | 2,580 | 1 | 785 | null | {
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"from": "now-1h",
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},
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"title": "Dual Band Monitoring ",
"version": 27,
"description": "Dashboard para Monitoramento de banda, podendo selecionar as variaveis de grupo, host e Itens"
} | 2017-07-05 10:00:22 UTC | 2017-07-05 10:10:06 UTC | 1 | 3 |
10,532 | 1 | 23,483 | 14,722 | 2,833 | azure-virtual-machine | Azure Virtual Machine | https://github.com/yesoreyeram/grafana-azure-dashboards | 2019-07-15 11:01:55 UTC | 2019-07-15 11:11:20 UTC | 0 | # Virtual Machines
![image](https://user-images.githubusercontent.com/153843/61209376-7adace80-a6f1-11e9-88d7-5bf102fe52c8.png)
| 0 | 0 | null | null | 2 | 5 | 14,722 | 1 | 10,532 | 1 | 2,833 | null | {
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},
{
"click": "menuItemSelected(13,1)",
"text": "litre (L)",
"value": "litre"
},
{
"click": "menuItemSelected(13,2)",
"text": "cubic metre",
"value": "m3"
},
{
"click": "menuItemSelected(13,3)",
"text": "Normal cubic metre",
"value": "Nm3"
},
{
"click": "menuItemSelected(13,4)",
"text": "cubic decimetre",
"value": "dm3"
},
{
"click": "menuItemSelected(13,5)",
"text": "gallons",
"value": "gallons"
}
],
"text": "volume"
},
{
"submenu": [
{
"click": "menuItemSelected(14,0)",
"text": "Watt (W)",
"value": "watt"
},
{
"click": "menuItemSelected(14,1)",
"text": "Kilowatt (kW)",
"value": "kwatt"
},
{
"click": "menuItemSelected(14,2)",
"text": "Milliwatt (mW)",
"value": "mwatt"
},
{
"click": "menuItemSelected(14,3)",
"text": "Watt per square metre (W/m²)",
"value": "Wm2"
},
{
"click": "menuItemSelected(14,4)",
"text": "Volt-ampere (VA)",
"value": "voltamp"
},
{
"click": "menuItemSelected(14,5)",
"text": "Kilovolt-ampere (kVA)",
"value": "kvoltamp"
},
{
"click": "menuItemSelected(14,6)",
"text": "Volt-ampere reactive (var)",
"value": "voltampreact"
},
{
"click": "menuItemSelected(14,7)",
"text": "Kilovolt-ampere reactive (kvar)",
"value": "kvoltampreact"
},
{
"click": "menuItemSelected(14,8)",
"text": "Watt-hour (Wh)",
"value": "watth"
},
{
"click": "menuItemSelected(14,9)",
"text": "Kilowatt-hour (kWh)",
"value": "kwatth"
},
{
"click": "menuItemSelected(14,10)",
"text": "Kilowatt-min (kWm)",
"value": "kwattm"
},
{
"click": "menuItemSelected(14,11)",
"text": "Joule (J)",
"value": "joule"
},
{
"click": "menuItemSelected(14,12)",
"text": "Electron volt (eV)",
"value": "ev"
},
{
"click": "menuItemSelected(14,13)",
"text": "Ampere (A)",
"value": "amp"
},
{
"click": "menuItemSelected(14,14)",
"text": "Kiloampere (kA)",
"value": "kamp"
},
{
"click": "menuItemSelected(14,15)",
"text": "Milliampere (mA)",
"value": "mamp"
},
{
"click": "menuItemSelected(14,16)",
"text": "Volt (V)",
"value": "volt"
},
{
"click": "menuItemSelected(14,17)",
"text": "Kilovolt (kV)",
"value": "kvolt"
},
{
"click": "menuItemSelected(14,18)",
"text": "Millivolt (mV)",
"value": "mvolt"
},
{
"click": "menuItemSelected(14,19)",
"text": "Decibel-milliwatt (dBm)",
"value": "dBm"
},
{
"click": "menuItemSelected(14,20)",
"text": "Ohm (Ω)",
"value": "ohm"
},
{
"click": "menuItemSelected(14,21)",
"text": "Lumens (Lm)",
"value": "lumens"
}
],
"text": "energy"
},
{
"submenu": [
{
"click": "menuItemSelected(15,0)",
"text": "Celsius (°C)",
"value": "celsius"
},
{
"click": "menuItemSelected(15,1)",
"text": "Farenheit (°F)",
"value": "farenheit"
},
{
"click": "menuItemSelected(15,2)",
"text": "Kelvin (K)",
"value": "kelvin"
}
],
"text": "temperature"
},
{
"submenu": [
{
"click": "menuItemSelected(16,0)",
"text": "Millibars",
"value": "pressurembar"
},
{
"click": "menuItemSelected(16,1)",
"text": "Bars",
"value": "pressurebar"
},
{
"click": "menuItemSelected(16,2)",
"text": "Kilobars",
"value": "pressurekbar"
},
{
"click": "menuItemSelected(16,3)",
"text": "Hectopascals",
"value": "pressurehpa"
},
{
"click": "menuItemSelected(16,4)",
"text": "Kilopascals",
"value": "pressurekpa"
},
{
"click": "menuItemSelected(16,5)",
"text": "Inches of mercury",
"value": "pressurehg"
},
{
"click": "menuItemSelected(16,6)",
"text": "PSI",
"value": "pressurepsi"
}
],
"text": "pressure"
},
{
"submenu": [
{
"click": "menuItemSelected(17,0)",
"text": "Newton-meters (Nm)",
"value": "forceNm"
},
{
"click": "menuItemSelected(17,1)",
"text": "Kilonewton-meters (kNm)",
"value": "forcekNm"
},
{
"click": "menuItemSelected(17,2)",
"text": "Newtons (N)",
"value": "forceN"
},
{
"click": "menuItemSelected(17,3)",
"text": "Kilonewtons (kN)",
"value": "forcekN"
}
],
"text": "force"
},
{
"submenu": [
{
"click": "menuItemSelected(18,0)",
"text": "Gallons/min (gpm)",
"value": "flowgpm"
},
{
"click": "menuItemSelected(18,1)",
"text": "Cubic meters/sec (cms)",
"value": "flowcms"
},
{
"click": "menuItemSelected(18,2)",
"text": "Cubic feet/sec (cfs)",
"value": "flowcfs"
},
{
"click": "menuItemSelected(18,3)",
"text": "Cubic feet/min (cfm)",
"value": "flowcfm"
},
{
"click": "menuItemSelected(18,4)",
"text": "Litre/hour",
"value": "litreh"
},
{
"click": "menuItemSelected(18,5)",
"text": "Litre/min (l/min)",
"value": "flowlpm"
},
{
"click": "menuItemSelected(18,6)",
"text": "milliLitre/min (mL/min)",
"value": "flowmlpm"
}
],
"text": "flow"
},
{
"submenu": [
{
"click": "menuItemSelected(19,0)",
"text": "Degrees (°)",
"value": "degree"
},
{
"click": "menuItemSelected(19,1)",
"text": "Radians",
"value": "radian"
},
{
"click": "menuItemSelected(19,2)",
"text": "Gradian",
"value": "grad"
}
],
"text": "angle"
},
{
"submenu": [
{
"click": "menuItemSelected(20,0)",
"text": "Meters/sec²",
"value": "accMS2"
},
{
"click": "menuItemSelected(20,1)",
"text": "Feet/sec²",
"value": "accFS2"
},
{
"click": "menuItemSelected(20,2)",
"text": "G unit",
"value": "accG"
}
],
"text": "acceleration"
},
{
"submenu": [
{
"click": "menuItemSelected(21,0)",
"text": "Becquerel (Bq)",
"value": "radbq"
},
{
"click": "menuItemSelected(21,1)",
"text": "curie (Ci)",
"value": "radci"
},
{
"click": "menuItemSelected(21,2)",
"text": "Gray (Gy)",
"value": "radgy"
},
{
"click": "menuItemSelected(21,3)",
"text": "rad",
"value": "radrad"
},
{
"click": "menuItemSelected(21,4)",
"text": "Sievert (Sv)",
"value": "radsv"
},
{
"click": "menuItemSelected(21,5)",
"text": "rem",
"value": "radrem"
},
{
"click": "menuItemSelected(21,6)",
"text": "Exposure (C/kg)",
"value": "radexpckg"
},
{
"click": "menuItemSelected(21,7)",
"text": "roentgen (R)",
"value": "radr"
},
{
"click": "menuItemSelected(21,8)",
"text": "Sievert/hour (Sv/h)",
"value": "radsvh"
}
],
"text": "radiation"
},
{
"submenu": [
{
"click": "menuItemSelected(22,0)",
"text": "parts-per-million (ppm)",
"value": "ppm"
},
{
"click": "menuItemSelected(22,1)",
"text": "parts-per-billion (ppb)",
"value": "conppb"
},
{
"click": "menuItemSelected(22,2)",
"text": "nanogram per cubic metre (ng/m³)",
"value": "conngm3"
},
{
"click": "menuItemSelected(22,3)",
"text": "nanogram per normal cubic metre (ng/Nm³)",
"value": "conngNm3"
},
{
"click": "menuItemSelected(22,4)",
"text": "microgram per cubic metre (μg/m³)",
"value": "conμgm3"
},
{
"click": "menuItemSelected(22,5)",
"text": "microgram per normal cubic metre (μg/Nm³)",
"value": "conμgNm3"
},
{
"click": "menuItemSelected(22,6)",
"text": "milligram per cubic metre (mg/m³)",
"value": "conmgm3"
},
{
"click": "menuItemSelected(22,7)",
"text": "milligram per normal cubic metre (mg/Nm³)",
"value": "conmgNm3"
},
{
"click": "menuItemSelected(22,8)",
"text": "gram per cubic metre (g/m³)",
"value": "congm3"
},
{
"click": "menuItemSelected(22,9)",
"text": "gram per normal cubic metre (g/Nm³)",
"value": "congNm3"
}
],
"text": "concentration"
}
],
"valueMaps": [
{
"op": "=",
"text": "N/A",
"value": "null"
}
]
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "$Subscriptions",
"fill": 1,
"gridPos": {
"h": 6,
"w": 14,
"x": 5,
"y": 1
},
"id": 27,
"legend": {
"avg": false,
"current": false,
"max": false,
"min": false,
"show": true,
"total": false,
"values": false
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 2,
"points": true,
"renderer": "flot",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"appInsights": {
"groupBy": "none",
"metricName": "select",
"rawQuery": false,
"rawQueryString": "",
"spliton": "",
"timeGrainType": "auto",
"xaxis": "timestamp",
"yaxis": ""
},
"azureLogAnalytics": {
"query": "//change this example to create your own time series query\n<table name> //the table to query (e.g. Usage, Heartbeat, Perf)\n| where $__timeFilter(TimeGenerated) //this is a macro used to show the full chart’s time range, choose the datetime column here\n| summarize count() by <group by column>, bin(TimeGenerated, $__interval) //change “group by column” to a column in your table, such as “Computer”. The $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
"resultFormat": "time_series"
},
"azureMonitor": {
"aggOptions": [
"None",
"Average",
"Minimum",
"Maximum",
"Total",
"Count"
],
"aggregation": "Average",
"alias": "CPU Usage",
"dimension": "",
"dimensionFilter": "*",
"dimensions": [],
"metricDefinition": "Microsoft.Compute/virtualMachines",
"metricName": "Percentage CPU",
"resourceGroup": "$ResourceGroup",
"resourceName": "$ResourceName",
"timeGrain": "auto",
"timeGrains": [
{
"text": "auto",
"value": "auto"
},
{
"text": "1 minute",
"value": "PT1M"
},
{
"text": "5 minutes",
"value": "PT5M"
},
{
"text": "15 minutes",
"value": "PT15M"
},
{
"text": "30 minutes",
"value": "PT30M"
},
{
"text": "1 hour",
"value": "PT1H"
},
{
"text": "6 hours",
"value": "PT6H"
},
{
"text": "12 hours",
"value": "PT12H"
},
{
"text": "1 day",
"value": "P1D"
}
]
},
"queryType": "Azure Monitor",
"refId": "A"
}
],
"thresholds": [],
"timeFrom": null,
"timeRegions": [],
"timeShift": null,
"title": "CPU Usage",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"buckets": null,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"format": "percent",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
],
"yaxis": {
"align": false,
"alignLevel": null
}
},
{
"cacheTimeout": null,
"colorBackground": false,
"colorValue": true,
"colors": [
"#299c46",
"rgba(237, 129, 40, 0.89)",
"#d44a3a"
],
"datasource": "$Subscriptions",
"format": "decbytes",
"gauge": {
"maxValue": 100,
"minValue": 0,
"show": false,
"thresholdLabels": false,
"thresholdMarkers": true
},
"gridPos": {
"h": 3,
"w": 5,
"x": 19,
"y": 1
},
"id": 11,
"interval": null,
"links": [],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"nullPointMode": "connected",
"nullText": null,
"postfix": "",
"postfixFontSize": "50%",
"prefix": "",
"prefixFontSize": "50%",
"rangeMaps": [
{
"from": "null",
"text": "N/A",
"to": "null"
}
],
"sparkline": {
"fillColor": "#cca300",
"full": false,
"lineColor": "rgb(234, 234, 234)",
"show": true
},
"tableColumn": "",
"targets": [
{
"appInsights": {
"groupBy": "none",
"metricName": "select",
"rawQuery": false,
"rawQueryString": "",
"spliton": "",
"timeGrainType": "auto",
"xaxis": "timestamp",
"yaxis": ""
},
"azureLogAnalytics": {
"query": "//change this example to create your own time series query\n<table name> //the table to query (e.g. Usage, Heartbeat, Perf)\n| where $__timeFilter(TimeGenerated) //this is a macro used to show the full chart’s time range, choose the datetime column here\n| summarize count() by <group by column>, bin(TimeGenerated, $__interval) //change “group by column” to a column in your table, such as “Computer”. The $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
"resultFormat": "time_series",
"workspace": "aeaf6b59-752c-4eb5-bf6b-23765ce37a4b"
},
"azureMonitor": {
"aggOptions": [
"None",
"Average",
"Minimum",
"Maximum",
"Total",
"Count"
],
"aggregation": "Total",
"dimension": "",
"dimensionFilter": "*",
"dimensions": [],
"metricDefinition": "Microsoft.Compute/virtualMachines",
"metricName": "Network In",
"resourceGroup": "$ResourceGroup",
"resourceName": "$ResourceName",
"timeGrain": "auto",
"timeGrains": [
{
"text": "auto",
"value": "auto"
},
{
"text": "1 minute",
"value": "PT1M"
},
{
"text": "5 minutes",
"value": "PT5M"
},
{
"text": "15 minutes",
"value": "PT15M"
},
{
"text": "30 minutes",
"value": "PT30M"
},
{
"text": "1 hour",
"value": "PT1H"
},
{
"text": "6 hours",
"value": "PT6H"
},
{
"text": "12 hours",
"value": "PT12H"
},
{
"text": "1 day",
"value": "P1D"
}
]
},
"queryType": "Azure Monitor",
"refId": "A"
}
],
"thresholds": "10000000000,20000000000",
"title": "Network In ",
"type": "singlestat",
"valueFontSize": "80%",
"valueMaps": [
{
"op": "=",
"text": "N/A",
"value": "null"
}
],
"valueName": "current"
},
{
"cacheTimeout": null,
"colorBackground": false,
"colorValue": true,
"colors": [
"#299c46",
"rgba(237, 129, 40, 0.89)",
"#d44a3a"
],
"datasource": "$Subscriptions",
"format": "decbytes",
"gauge": {
"maxValue": 100,
"minValue": 0,
"show": false,
"thresholdLabels": false,
"thresholdMarkers": true
},
"gridPos": {
"h": 3,
"w": 5,
"x": 19,
"y": 4
},
"id": 18,
"interval": null,
"links": [],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"nullPointMode": "connected",
"nullText": null,
"postfix": "",
"postfixFontSize": "50%",
"prefix": "",
"prefixFontSize": "50%",
"rangeMaps": [
{
"from": "null",
"text": "N/A",
"to": "null"
}
],
"sparkline": {
"fillColor": "#cca300",
"full": false,
"lineColor": "rgb(234, 234, 234)",
"show": true
},
"tableColumn": "",
"targets": [
{
"appInsights": {
"groupBy": "none",
"metricName": "select",
"rawQuery": false,
"rawQueryString": "",
"spliton": "",
"timeGrainType": "auto",
"xaxis": "timestamp",
"yaxis": ""
},
"azureLogAnalytics": {
"query": "//change this example to create your own time series query\n<table name> //the table to query (e.g. Usage, Heartbeat, Perf)\n| where $__timeFilter(TimeGenerated) //this is a macro used to show the full chart’s time range, choose the datetime column here\n| summarize count() by <group by column>, bin(TimeGenerated, $__interval) //change “group by column” to a column in your table, such as “Computer”. The $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
"resultFormat": "time_series",
"workspace": "aeaf6b59-752c-4eb5-bf6b-23765ce37a4b"
},
"azureMonitor": {
"aggOptions": [
"None",
"Average",
"Minimum",
"Maximum",
"Total",
"Count"
],
"aggregation": "Total",
"dimension": "",
"dimensionFilter": "*",
"dimensions": [],
"metricDefinition": "Microsoft.Compute/virtualMachines",
"metricName": "Network Out",
"resourceGroup": "$ResourceGroup",
"resourceName": "$ResourceName",
"timeGrain": "auto",
"timeGrains": [
{
"text": "auto",
"value": "auto"
},
{
"text": "1 minute",
"value": "PT1M"
},
{
"text": "5 minutes",
"value": "PT5M"
},
{
"text": "15 minutes",
"value": "PT15M"
},
{
"text": "30 minutes",
"value": "PT30M"
},
{
"text": "1 hour",
"value": "PT1H"
},
{
"text": "6 hours",
"value": "PT6H"
},
{
"text": "12 hours",
"value": "PT12H"
},
{
"text": "1 day",
"value": "P1D"
}
]
},
"queryType": "Azure Monitor",
"refId": "A"
}
],
"thresholds": "10000000000,20000000000",
"title": "Network Out",
"type": "singlestat",
"valueFontSize": "80%",
"valueMaps": [
{
"op": "=",
"text": "N/A",
"value": "null"
}
],
"valueName": "current"
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": "$Subscriptions",
"fill": 8,
"gridPos": {
"h": 6,
"w": 9,
"x": 0,
"y": 7
},
"id": 10,
"legend": {
"alignAsTable": true,
"avg": true,
"current": true,
"max": true,
"min": true,
"show": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [
{
"alias": "Network out total",
"transform": "negative-Y"
}
],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"appInsights": {
"groupBy": "none",
"metricName": "select",
"rawQuery": false,
"rawQueryString": "",
"spliton": "",
"timeGrainType": "auto",
"xaxis": "timestamp",
"yaxis": ""
},
"azureLogAnalytics": {
"query": "//change this example to create your own time series query\n<table name> //the table to query (e.g. Usage, Heartbeat, Perf)\n| where $__timeFilter(TimeGenerated) //this is a macro used to show the full chart’s time range, choose the datetime column here\n| summarize count() by <group by column>, bin(TimeGenerated, $__interval) //change “group by column” to a column in your table, such as “Computer”. The $__interval macro is used to auto-select the time grain. Can also use 1h, 5m etc.\n| order by TimeGenerated asc",
"resultFormat": "time_series",
"workspace": "aeaf6b59-752c-4eb5-bf6b-23765ce37a4b"
},
"azureMonitor": {
"aggOptions": [
"None",
"Average",
"Minimum",
"Maximum",
"Total",
"Count"
],
"aggregation": "Total",
"alias": "Network in total",
"dimension": "",
"dimensionFilter": "*",
"dimensions": [],
"metricDefinition": "Microsoft.Compute/virtualMachines",
"metricName": "Network In Total",
"resourceGroup": "$ResourceGroup",
"resourceName": "$ResourceName",
"timeGrain": "auto",
"timeGrains": [
{
"text": "auto",
"value": "auto"
},
{
"text": "1 minute",
"value": "PT1M"
},
{
"text": "5 minutes",
"value": "PT5M"
},
{
"text": "15 minutes",
"value": "PT15M"
},
{
"text": "30 minutes",
"value": "PT30M"
},
{
"text": "1 hour",
"value": "PT1H"
},
{
"text": "6 hours",
"value": "PT6H"
},
{
"text": "12 hours",
"value": "PT12H"
},
{
"text": "1 day",
"value": "P1D"
}
]
},
"queryType": "Azure Monitor",
"refId": "A"
},
{
"appInsights": {
"groupBy": "none",
"metricName": "select",
"rawQuery": false,
"rawQueryString": "",
"spliton": "",
"timeGrainType": "auto",
"xaxis": "timestamp",
"yaxis": ""
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} | 2019-07-15 11:01:55 UTC | 2019-07-15 11:11:20 UTC | 2 | 5 |
14,508 | 1 | 503,019 | 21,472 | 18 | appwrite-metrics | Appwrite Metrics | Dashboard for Appwrite Metrics | 2021-05-28 15:30:56 UTC | 2021-05-28 15:41:33 UTC | 0 | null | 63,325 | 63,326 | Telegraf | null | 0 | 0 | 21,472 | 1 | 14,508 | 1 | 18 | null | {
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} | 2021-05-28 15:30:56 UTC | 2021-05-28 15:33:05 UTC | 0 | 0 |
13,773 | 1 | 454,318 | 20,135 | 18 | chainx-validator-dashboard | ChainX Validator Dashboard | A dashboard for monitoring your ChainX validator node metrics.
Based on "My Polkadot Metrics" by phillux
https://grafana.com/grafana/dashboards/12425 | 2021-01-25 06:00:05 UTC | 2021-01-25 06:06:22 UTC | 0 | ChainX Validator Node Metrics
https://github.com/paritytech/polkadot
https://polkadot.network
A multi-blockchain node built with Rust running the core functionality on WebAssembly.
Metrics
Chain height
Rate of tasks
Currently running tasks
Peers connected, discovered, requested
State cache DB
GRANDPA validator messages
Queued blocks
Number of transactions in the ready queue
Number of leaves | 59,913 | 59,914 | null | null | 0 | 0 | 20,135 | 1 | 13,773 | 1 | 18 | A dashboard for monitoring your Centrifuge Chain node metrics.
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13,791 | 1 | 327,685 | 20,173 | 18 | cc-exporter | CC-Exporter | CoinCap Api Metrics Exporter (Cryptocurrency) | 2021-01-29 09:08:40 UTC | 2021-01-29 09:39:13 UTC | 0 | # cc-exporter
CC-Exporter is a Prometheus metrics exporter developed with Python which allows you to monitor Cryptocurrencies Market Cap from Grafana dashboards and define multiple alerts by generating metrics from CoinCap public api.
For more info visit cc-exporter github page: [https://github.com/Mtt6300/cc-exporter](https://github.com/Mtt6300/cc-exporter) | 0 | 0 | Other | null | 0 | 0 | 20,173 | 1 | 13,791 | 1 | 18 | null | {
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13,925 | 1 | 445,852 | 20,397 | 18 | 9125-kea-dhcp | 9125 - Kea-dhcp | Prometheus Kea exporter metrics. | 2021-02-19 13:48:42 UTC | 2021-02-19 13:53:15 UTC | 0 | find exporter here:
https://github.com/lotusnoir/ansible-apps_kea_exporter | 60,690 | 60,691 | null | null | 0 | 0 | 20,397 | 1 | 13,925 | 1 | 18 | Prometheus Kea exporter metrics. | {
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"error": null,
"hide": 0,
"includeAll": true,
"label": null,
"multi": true,
"name": "host",
"options": [],
"query": {
"query": "label_values({__name__=~\"kea_dhcp.*\"}, instance)",
"refId": "prometheus-sys-01-host-Variable-Query"
},
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
}
]
},
"time": {
"from": "now-1h",
"to": "now"
},
"timepicker": {
"refresh_intervals": [
"10s",
"30s",
"1m",
"5m",
"15m",
"30m",
"1h",
"2h",
"1d"
]
},
"timezone": "",
"title": "9125 - Kea-dhcp",
"uid": "_aIgpC1Mz",
"version": 5
} | 2021-02-19 13:48:42 UTC | null | 0 | 0 |
16,243 | 1 | 643,460 | 24,675 | 18 | 2-service-details | 2 - APM Service Details | Service details explaining the RED metrics and other insightful metrics from the Service and its Operations. | 2022-05-08 09:10:54 UTC | 2022-05-09 13:45:08 UTC | 0 | Service Details dashboard offered by Promscale on top of traces by leveraging SQL and TimescaleDB capabilities.
This dashboard contains details specific to a service:
1. **Requests** rate.
2. **Duration** of requests i.e. p99, p90, p50, and Average.
3. **Error rate**.
4. **Statistics by Operations** i.e. Requests rate per Operation.
5. **Slowest Operation Executions** describing Trace ID, Operation, Timestamp, and Duration.
6. **Most Common Errors** describing Errors and Occurrences. | 73,175 | 73,176 | null | null | 0 | 0 | 24,675 | 1 | 16,243 | 1 | 18 | null | {
"__inputs": [
{
"name": "DS_PROMSCALE-SQL",
"label": "Promscale-SQL",
"description": "TimescaleDB as PostgreSQL data source",
"type": "datasource",
"pluginId": "postgres",
"pluginName": "PostgreSQL"
}
],
"__elements": [],
"__requires": [
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "8.5.2"
},
{
"type": "datasource",
"id": "postgres",
"name": "PostgreSQL",
"version": "1.0.0"
},
{
"type": "panel",
"id": "table",
"name": "Table",
"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"
}
]
},
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 2,
"id": null,
"iteration": 1652000882450,
"links": [
{
"asDropdown": false,
"icon": "external link",
"includeVars": true,
"keepTime": true,
"tags": [
"promscale",
"apm"
],
"targetBlank": false,
"title": "Menu",
"tooltip": "",
"type": "dashboards",
"url": ""
}
],
"liveNow": false,
"panels": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_PROMSCALE-SQL}"
},
"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",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "reqps"
},
"overrides": []
},
"gridPos": {
"h": 11,
"w": 8,
"x": 0,
"y": 0
},
"id": 2,
"interval": "1s",
"maxDataPoints": 300,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_PROMSCALE-SQL}"
},
"format": "time_series",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT\n time_bucket_gapfill('$__interval', start_time) AS time,\n coalesce(count(*)::numeric / (EXTRACT(epoch FROM '$__interval'::interval)), 0) AS \"Requests\"\nFROM ps_trace.span s\nWHERE $__timeFilter(start_time)\nAND (span_kind = 'server' OR parent_span_id is NULL)\nAND service_name = '${service}'\nGROUP BY 1\nORDER BY 1",
"refId": "A",
"select": [],
"table": "event",
"timeColumn": "\"time\"",
"timeColumnType": "timestamp",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Requests",
"type": "timeseries"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_PROMSCALE-SQL}"
},
"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",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "ms"
},
"overrides": []
},
"gridPos": {
"h": 11,
"w": 8,
"x": 8,
"y": 0
},
"id": 3,
"interval": "1s",
"maxDataPoints": 300,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"pluginVersion": "8.3.3",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_PROMSCALE-SQL}"
},
"format": "time_series",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT\n time_bucket_gapfill('$__interval', start_time) AS time,\n COALESCE(ROUND(approx_percentile(0.99, percentile_agg(duration_ms))::numeric, 3), 0) as \"p99\",\n COALESCE(ROUND(approx_percentile(0.90, percentile_agg(duration_ms))::numeric, 3), 0) as \"p90\",\n COALESCE(ROUND(approx_percentile(0.50, percentile_agg(duration_ms))::numeric, 3), 0) as \"p50\",\n COALESCE(AVG(duration_ms), 0) as \"Average\"\nFROM ps_trace.span s\nWHERE $__timeFilter(start_time)\nAND (span_kind = 'server' OR parent_span_id is NULL)\nAND service_name = '${service}'\nGROUP BY 1\nORDER BY 1",
"refId": "A",
"select": [],
"table": "event",
"timeColumn": "\"time\"",
"timeColumnType": "timestamp",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Duration",
"type": "timeseries"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_PROMSCALE-SQL}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"axisSoftMax": 1,
"axisSoftMin": 0,
"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": "line"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
},
"unit": "percentunit"
},
"overrides": []
},
"gridPos": {
"h": 11,
"w": 8,
"x": 16,
"y": 0
},
"id": 4,
"interval": "1s",
"maxDataPoints": 300,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_PROMSCALE-SQL}"
},
"format": "time_series",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT\n time_bucket('$__interval', start_time) as time,\n coalesce(count(*) filter (where status_code = 'error')::numeric / count(*), 0) as \"Error rate\"\nFROM ps_trace.span s\nWHERE $__timeFilter(start_time)\nAND (span_kind = 'server' OR parent_span_id is NULL)\nAND service_name = '${service}'\nGROUP BY 1\nORDER BY 1",
"refId": "A",
"select": [],
"table": "event",
"timeColumn": "\"time\"",
"timeColumnType": "timestamp",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Error Rate",
"type": "timeseries"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_PROMSCALE-SQL}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": "auto",
"displayMode": "auto",
"inspect": false
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "Requests"
},
"properties": [
{
"id": "unit",
"value": "reqps"
}
]
},
{
"matcher": {
"id": "byName",
"options": "Avg Duration"
},
"properties": [
{
"id": "unit",
"value": "ms"
}
]
},
{
"matcher": {
"id": "byName",
"options": "Error rate"
},
"properties": [
{
"id": "unit",
"value": "percentunit"
}
]
}
]
},
"gridPos": {
"h": 12,
"w": 8,
"x": 0,
"y": 11
},
"id": 10,
"options": {
"footer": {
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true,
"sortBy": []
},
"pluginVersion": "8.5.2",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_PROMSCALE-SQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT\n span_name as \"Operation\",\n count(*)::numeric / (${__to:date:seconds} - ${__from:date:seconds}) AS \"Requests\",\n sum(duration_ms) / count(*)::numeric as \"Avg Duration\",\n coalesce((count(*) filter (where status_code = 'error')::numeric / count(*)), 0) as \"Error rate\"\nFROM ps_trace.span s\nWHERE $__timeFilter(start_time)\nAND (span_kind = 'server' OR parent_span_id is NULL)\nAND service_name = '${service}'\nGROUP BY 1\nORDER BY 1",
"refId": "A",
"select": [],
"table": "event",
"timeColumn": "\"time\"",
"timeColumnType": "timestamp",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Statistics by Operation",
"type": "table"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_PROMSCALE-SQL}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": "auto",
"displayMode": "auto",
"inspect": false
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "Duration"
},
"properties": [
{
"id": "unit",
"value": "ms"
},
{
"id": "decimals",
"value": 2
},
{
"id": "custom.width",
"value": 143
}
]
},
{
"matcher": {
"id": "byName",
"options": "Trace ID"
},
"properties": [
{
"id": "custom.width",
"value": 282
},
{
"id": "links",
"value": [
{
"targetBlank": true,
"title": "View trace details",
"url": "/explore?left=%5B%22${__from}%22,%22${__to}%22,%22PC6F1FDB212D0F52B%22,%7B\"query\":\"${__value.raw}\"%7D%5D"
}
]
}
]
},
{
"matcher": {
"id": "byName",
"options": "start_time"
},
"properties": [
{
"id": "custom.width",
"value": 182
}
]
},
{
"matcher": {
"id": "byName",
"options": "Trace ID"
},
"properties": [
{
"id": "custom.width",
"value": 94
}
]
}
]
},
"gridPos": {
"h": 12,
"w": 8,
"x": 8,
"y": 11
},
"id": 7,
"options": {
"footer": {
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true,
"sortBy": []
},
"pluginVersion": "8.5.2",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_PROMSCALE-SQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT\n replace(trace_id::text, '-'::text, ''::text) as \"Trace ID\",\n span_name as \"Operation\",\n start_time as \"Time\",\n duration_ms as \"Duration\"\nFROM ps_trace.span\nWHERE $__timeFilter(start_time)\nAND (span_kind = 'server' OR parent_span_id is NULL)\nAND service_name = '${service}'\nORDER BY duration_ms DESC\nLIMIT 50\n;",
"refId": "A",
"select": [],
"table": "event",
"timeColumn": "\"time\"",
"timeColumnType": "timestamp",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Slowest Operation Executions",
"type": "table"
},
{
"datasource": {
"type": "postgres",
"uid": "${DS_PROMSCALE-SQL}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": "auto",
"displayMode": "auto",
"inspect": false
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 12,
"w": 8,
"x": 16,
"y": 11
},
"id": 9,
"options": {
"footer": {
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true,
"sortBy": []
},
"pluginVersion": "8.5.2",
"targets": [
{
"datasource": {
"type": "postgres",
"uid": "${DS_PROMSCALE-SQL}"
},
"format": "table",
"group": [],
"metricColumn": "none",
"rawQuery": true,
"rawSql": "SELECT\n status_message as \"Error\",\n count(*) as \"Occurrences\"\nFROM ps_trace.span\nWHERE $__timeFilter(start_time) AND\nstatus_code = 'error' AND\nservice_name = '${service}'\nGROUP BY 1\nORDER BY 2 DESC\n;",
"refId": "A",
"select": [],
"table": "event",
"timeColumn": "\"time\"",
"timeColumnType": "timestamp",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"title": "Most Common Errors",
"type": "table"
}
],
"refresh": "",
"schemaVersion": 36,
"style": "dark",
"tags": [
"promscale",
"apm"
],
"templating": {
"list": [
{
"current": {},
"datasource": {
"type": "postgres",
"uid": "${DS_PROMSCALE-SQL}"
},
"definition": "SELECT \n distinct(service_name)\nFROM ps_trace.span\nWHERE $__timeFilter(start_time)\n",
"hide": 0,
"includeAll": false,
"label": "Service",
"multi": false,
"name": "service",
"options": [],
"query": "SELECT \n distinct(service_name)\nFROM ps_trace.span\nWHERE $__timeFilter(start_time)\n",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 1,
"type": "query"
}
]
},
"time": {
"from": "now-1h",
"to": "now"
},
"timepicker": {},
"timezone": "",
"title": "2 - APM Service Details",
"uid": "YWfN6wL7z",
"version": 1,
"weekStart": "",
"gnetId": 16243,
"description": "Service details explaining the RED metrics and other insightful metrics from the Service and its Operations."
} | 2022-05-08 09:10:54 UTC | 2022-05-09 13:45:08 UTC | 0 | 0 |
9,568 | 1 | 220,452 | 13,235 | 5,394 | jvm-actuator | JVM (Actuator) | Dashboard for Micrometer(Java, Spring Boot, Actuator) | 2018-12-24 09:39:08 UTC | 2018-12-25 03:38:19 UTC | 0 | Spring boot with actuator.
Add this micrometer-registry-prometheus to pom.
prometheus.yml set as
```
scrape_configs:
- job_name: 'spring'
metrics_path: '/actuator/prometheus'
static_configs:
- targets: ['HOST:PORT']
``` | 0 | 0 | Other | null | 2 | 3.5 | 13,235 | 1 | 9,568 | 1 | 5,394 | Dashboard for Micrometer(Java, Spring Boot, Actuator) | {
"__inputs": [
{
"name": "DS_PROMETHEUS",
"label": "Prometheus",
"description": "",
"type": "datasource",
"pluginId": "prometheus",
"pluginName": "Prometheus"
}
],
"__requires": [
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "5.3.2"
},
{
"type": "panel",
"id": "graph",
"name": "Graph",
"version": "5.0.0"
},
{
"type": "datasource",
"id": "prometheus",
"name": "Prometheus",
"version": "5.0.0"
},
{
"type": "panel",
"id": "singlestat",
"name": "Singlestat",
"version": "5.0.0"
}
],
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": "-- Grafana --",
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"limit": 100,
"name": "Annotations & Alerts",
"showIn": 0,
"type": "dashboard"
},
{
"datasource": "${DS_PROMETHEUS}",
"enable": true,
"expr": "resets(process_uptime_seconds{instance=\"$instance\"}[1m]) > 0",
"iconColor": "rgba(255, 96, 96, 1)",
"name": "Restart Detection",
"showIn": 0,
"step": "1m",
"tagKeys": "restart-tag",
"textFormat": "uptime reset",
"titleFormat": "Restart"
}
]
},
"description": "Dashboard for Micrometer(Java, Spring Boot, Actuator)",
"editable": true,
"gnetId": 9568,
"graphTooltip": 1,
"id": null,
"iteration": 1545644183445,
"links": [],
"panels": [
{
"collapsed": false,
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 0
},
"id": 125,
"panels": [],
"repeat": null,
"title": "Quick Facts",
"type": "row"
},
{
"cacheTimeout": null,
"colorBackground": false,
"colorValue": true,
"colors": [
"rgba(245, 54, 54, 0.9)",
"rgba(237, 129, 40, 0.89)",
"rgba(50, 172, 45, 0.97)"
],
"datasource": "${DS_PROMETHEUS}",
"decimals": 1,
"editable": true,
"error": false,
"format": "s",
"gauge": {
"maxValue": 100,
"minValue": 0,
"show": false,
"thresholdLabels": false,
"thresholdMarkers": true
},
"gridPos": {
"h": 3,
"w": 6,
"x": 0,
"y": 1
},
"height": "",
"id": 63,
"interval": null,
"links": [],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"nullPointMode": "connected",
"nullText": null,
"postfix": "",
"postfixFontSize": "50%",
"prefix": "",
"prefixFontSize": "70%",
"rangeMaps": [
{
"from": "null",
"text": "N/A",
"to": "null"
}
],
"sparkline": {
"fillColor": "rgba(31, 118, 189, 0.18)",
"full": false,
"lineColor": "rgb(31, 120, 193)",
"show": false
},
"tableColumn": "",
"targets": [
{
"expr": "process_uptime_seconds{instance=\"$instance\"}",
"format": "time_series",
"intervalFactor": 2,
"legendFormat": "",
"metric": "",
"refId": "A",
"step": 14400
}
],
"thresholds": "",
"title": "Uptime",
"transparent": false,
"type": "singlestat",
"valueFontSize": "80%",
"valueMaps": [
{
"op": "=",
"text": "N/A",
"value": "null"
}
],
"valueName": "current"
},
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} | 2018-12-24 09:39:08 UTC | 2018-12-25 03:38:19 UTC | 2 | 3.5 |
15,599 | 1 | 107,459 | 23,555 | 19 | dashboard-impressora-p-b | 82- Dashboard Impressora P&B | Material do Treinamento Infraestrutura de TI com Ênfase em Zabbix 6.0 da 2MTI Treinamentos & Serviços.
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https://maratonadainfra.kpages.online/ | 2022-01-24 17:30:15 UTC | 2022-01-24 17:32:02 UTC | 0 | null | 70,462 | 70,463 | null | null | 0 | 0 | 23,555 | 1 | 15,599 | 1 | 19 | Material do Treinamento Infraestrutura de TI com Ênfase em Zabbix 6.0 da 2MTI Treinamentos & Serviços.Site:https://maratonadainfra.kpages.online/ | {
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},
"time": {
"from": "2021-09-29T05:49:33.277Z",
"to": "2021-09-29T11:49:33.277Z"
},
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"refresh_intervals": [
"5s",
"10s",
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"title": "AppMesh / Data Plane",
"uid": "ztjdNmknk",
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} | 2021-09-30 10:39:29 UTC | null | 0 | 0 |
16,981 | 1 | 710,340 | 26,041 | 19 | estat-sticas-postgresql-by-zabbix-agent-2 | Estatisticas PostgreSQL By Zabbix Agent 2 | Monitoramento PostgreSQL via Zabbix | 2022-09-15 23:21:46 UTC | 2022-09-18 14:52:45 UTC | 0 | Use o template do Zabbix "PostgreSQL by Zabbix agent 2" https://www.zabbix.com/integrations/postgresql#postgresql_agent2
para monitora seu PostgreSQL 14 (Testei na versão 14 do PostgreSQL Porem qualquer versão que o agente do zabbix conseguir coletar funcionara )
Importa o dashboard ao seu Grafana.
Altere a variável $host para seu Host PostgreSQL
Altere a variável $DB para o nome do seu Banco de Dados (Caso tenha outras bases é preciso colocar manualmente na variável )
Requisitos:
Zabbix-Agent2
PostgreSQL 10 ou Superior
Em breve, farei um vídeo para comunidade no Youtube mostrando como foi feito.
Canal H2Ops https://www.youtube.com/channel/UC-126o9Y3lYJSvzKIdfnNbQ | 76,905 | 76,906 | Other | null | 0 | 0 | 26,041 | 1 | 16,981 | 1 | 19 | null | {
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16,491 | 1 | 5,000 | 25,163 | 19 | tns-demo | TNS Demo Dashboard | This dashboard accompanies the Kubernetes Monitoring Walkthrough in the Grafana Cloud docs. | 2022-06-22 18:35:59 UTC | 2022-06-22 18:37:30 UTC | 0 | This dashboard accompanies the Kubernetes Monitoring Walkthrough in the Grafana Cloud docs. It is generated from source in the TNS demo app [GitHub repository](https://github.com/grafana/tns). Please follow the walkthrough to set up the demo app and configure Grafana Agent to collect the required telemetry data to power the demo. | 0 | 0 | Other | null | 0 | 0 | 25,163 | 1 | 16,491 | 1 | 19 | null | {
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} | 2022-06-22 18:35:59 UTC | 2022-06-22 18:37:30 UTC | 0 | 0 |
13,264 | 1 | 358,181 | 19,262 | 19 | federate | Demo upload dashbỏad | abc | 2020-10-24 11:32:33 UTC | 2020-10-24 11:33:36 UTC | 0 | demo | 0 | 0 | nodeExporter | null | 0 | 0 | 19,262 | 1 | 13,264 | 1 | 19 | null | {
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} | 2020-10-24 11:32:33 UTC | 2020-10-24 11:33:36 UTC | 0 | 0 |
12,294 | 1 | 61,457 | 17,561 | 275 | monitoring-vms-via-libvirt | Monitoring VMs on OpenStack (or KVM) using Graphite + Collectd | Collect metric of instances via Libvirt on all Compute node | 2020-05-14 08:01:55 UTC | 2020-05-14 08:13:47 UTC | 0 | Install Collectd on all Compute node (or KVM node) or any node that installed Libvirt to collect the metrics (ram, cpu, iops,..) of VMs, then push to a Graphite server.
Workflow: Collectd -> Graphite -> Grafana | 52,480 | 52,481 | collectd | Install on CentOS 7
```sh
yum install epel-release -y
yum install collectd -y
yum install collectd-virt.x86_64 -y
```
Example /etc/collectd.conf file
```sh
Hostname "compute01"
FQDNLookup false
LoadPlugin write_graphite
LoadPlugin unixsock
LoadPlugin virt
Interval 120
<Plugin unixsock>
SocketFile "/var/run/collectd-unixsock"
SocketGroup "collectd"
SocketPerms "0770"
DeleteSocket false
</Plugin>
<Plugin "virt">
RefreshInterval 120
Connection "qemu:///system"
BlockDeviceFormat "target"
HostnameFormat "uuid"
InterfaceFormat "address"
PluginInstanceFormat name
ExtraStats "cpu_util disk_err domain_state job_stats_background perf vcpupin"
</Plugin>
<Plugin write_graphite>
<Node "graphite">
Host "<ip_graphite>"
Port "2003"
Protocol "tcp"
LogSendErrors true
Prefix "collectd.compute01."
#Postfix "collectd"
StoreRates true
AlwaysAppendDS false
EscapeCharacter "_"
</Node>
</Plugin>
```
Start service
```sh
systemctl restart collectd
```
| 0 | 0 | 17,561 | 1 | 12,294 | 1 | 275 | Monitoring VMs on OpenStack or KVM via Libvirt | {
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"templating": {
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},
"time": {
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"refresh_intervals": [
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"time_options": [
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"timezone": "browser",
"title": "NGINX Ingress controller",
"uid": "nginx-ingress",
"version": 1
} | 2019-07-11 09:55:29 UTC | 2019-07-11 09:55:33 UTC | 0 | 0 |
16,110 | 1 | 632,290 | 24,445 | 275 | fastapi-observability | FastAPI Observability | Telemetry FastAPI application with three pillars of observability: Traces (Tempo), Metrics (Prometheus), Logs (Loki) on Grafana through OpenTelemetry and OpenMetrics. | 2022-04-15 17:08:21 UTC | 2023-05-18 15:34:20 UTC | 0 | Telemetry FastAPI application with three pillars of observability on Grafana:
1. Traces with [Tempo](https://github.com/grafana/tempo) and [OpenTelemetry Python SDK](https://github.com/open-telemetry/opentelemetry-python)
2. Metrics with [Prometheus](https://prometheus.io/) and [Prometheus Python Client](https://github.com/prometheus/client_python)
3. Logs with [Loki](https://github.com/grafana/loki)
Check more details on the GitHub repository: [FastAPI with Observability](https://github.com/Blueswen/fastapi-observability).
There is also a Spring Boot version: [Spring Boot with Observability](https://grafana.com/grafana/dashboards/17175-spring-boot-observability/). | 72,623 | 72,624 | Other | null | 0 | 0 | 24,445 | 1 | 16,110 | 1 | 275 | null | {
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} | 2022-04-15 17:08:21 UTC | 2022-04-19 12:24:49 UTC | 0 | 0 |
9,116 | 1 | 124,625 | 12,590 | 275 | tjdft-bdu-pje-1i-2i | Dashboard Banco de dados Postgress | Dashboard utilizado como comparativo de desempenho de dois servidores de banco de dados distintos. | 2018-11-20 15:09:50 UTC | 2018-11-20 15:19:33 UTC | 0 | Dashboard utilizado como comparativo de desempenho de dois servidores de banco de dados distintos.
- Linkedin : linkedin.com/in/isweluiz
- Github: https://github.com/isweluiz/grafana
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} | 2018-11-20 15:09:50 UTC | 2018-11-20 15:19:33 UTC | 0 | 0 |
14,785 | 1 | 517,393 | 21,989 | 20 | device-centric | Device Centric | This dashboard provides a window into the status and performance of a single device. | 2021-07-28 07:51:21 UTC | 2021-07-28 07:52:19 UTC | 0 | There are times when you will need a more detailed overview of a device, with the essential information available at a glance. The Device Centric Dashboard provides detailed status and performance information, covering parameters at both device and port level. | 65,459 | 65,460 | Other | null | 0 | 0 | 21,989 | 1 | 14,785 | 1 | 20 | This dashboard provides a window into the status and performance of a single device. | {
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"version": 2
} | 2021-07-28 07:51:21 UTC | 2021-07-28 07:52:18 UTC | 0 | 0 |
12,671 | 1 | 400,936 | 18,214 | 20 | unifast | unifast | unifast专用 | 2020-07-16 06:31:24 UTC | 2020-09-10 02:48:51 UTC | 0 | unifast专用
默认面板只支持默认注解使用,如使用的是自定义注解,请根据实际情况修改dashboard相关参数。
如需帮助请联系技术平台组。 | 56,032 | 56,033 | null | null | 2 | 5 | 18,214 | 1 | 12,671 | 1 | 20 | null | {
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} | 2020-07-16 06:31:24 UTC | 2020-09-10 02:20:03 UTC | 2 | 5 |
16,498 | 1 | 667,434 | 25,172 | 20 | dashboard-servers-linux | Dashboard Servers Linux | Dashboard baseado em informações coletadas em ambiente Linux;
Neste Dashboard, criei um Templating, onde através do Grupo selecionado é possível alterar os hosts e obter informações automáticas. | 2022-06-23 11:57:47 UTC | 2022-06-23 12:00:47 UTC | 0 | Good dashboard. | 0 | 0 | nodeExporter | null | 0 | 0 | 25,172 | 1 | 16,498 | 1 | 20 | Dashboard baseado em informações coletadas em ambiente Linux;
Neste Dashboard, criei um Templating, onde através do Grupo selecionado é possível alterar os hosts e obter informações automáticas. | {
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13,534 | 1 | 363,845 | 19,767 | 20 | solace-bridges | Solace bridges | Solace Bridges | 2020-12-08 14:43:34 UTC | 2020-12-08 14:43:48 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 19,767 | 1 | 13,534 | 1 | 20 | null | {
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14,659 | 1 | 485,948 | 21,753 | 21 | node-exporter-full | Node Exporter Full | Grafana dashboard for node exporter | 2021-07-01 15:25:05 UTC | 2021-07-01 15:25:47 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 21,753 | 1 | 14,659 | 1 | 21 | null | {
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} | 2021-07-01 15:25:05 UTC | 2021-07-01 15:25:47 UTC | 0 | 0 |
13,442 | 1 | 438,765 | 19,607 | 21 | bor | Bor | InfluxDB grafana dashboard for bor metrics of Validator node on Matic network | 2020-11-21 09:49:19 UTC | 2020-11-21 09:50:02 UTC | 0 | null | 58,346 | 58,347 | null | null | 0 | 0 | 19,607 | 1 | 13,442 | 1 | 21 | InfluxDB grafana dashboard for bor metrics | {
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} | 2020-11-21 09:49:19 UTC | 2020-11-21 09:50:02 UTC | 0 | 0 |
14,921 | 1 | 533,153 | 22,253 | 21 | total-panic | TOTAL PANIC for KUSAMA & PolkaDOT Validators | Telemetry on the Telemetry for KUSAMA & PolkaDOT Validators
Powerful analytics over the Telemetry Monitoring including Alert intergrations | 2021-08-25 22:01:59 UTC | 2021-08-26 02:55:14 UTC | 0 | KUSAMA and PolkaDOT Telemetry Monitoring with Grafana Cloud and JSON API:
https://github.com/TGReaper/Total-Panic
Powerful analytics over the Telemetry Monitoring including Alert intergrations with:
DingDing, Discord, Email, Google Hangouts Chat, Hipchat, Kafka, Line, Microsoft Teams, Opsgenie, Pagerduty, Prometheus Alertmanager, Pushover, Sensu, Sensu, Slack, Telegram, Threema, VictorOps, Webhook, Zenduty
For Support && Nominations in KUSAMA NETWORK:
Validators Display name. KSMNETWORK && KSMNETWORK-WEST
KUSAMA (KSM) Address
H1bSKJxoxzxYRCdGQutVqFGeW7xU3AcN6vyEdZBU7Qb1rsZ
PolkaDOT (DOT) Address:
15FxvBFDd3X7H9qcMGqsiuvFYEg4D3mBoTA2LQufreysTHKA | 66,269 | 66,270 | Other | null | 0 | 0 | 22,253 | 1 | 14,921 | 1 | 21 | KUSAMA and PolkaDOT Telemetry Monitoring with Grafana Cloud and JSON API | {
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13,205 | 1 | 371,814 | 19,177 | 21 | sn-all | SELKS SN-ALL | Dashboard SELKS for Grafana
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And find more dashboard on the github repo
Needed : https://www.stamus-networks.com/scirius-open-source | 57,207 | 57,208 | null | null | 0 | 0 | 19,177 | 1 | 13,205 | 1 | 21 | null | {
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},
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}
],
"hide": false,
"metrics": [
{
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"id": "1",
"meta": {},
"pipelineAgg": "select metric",
"pipelineVariables": [
{
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"pipelineAgg": "select metric"
}
],
"settings": {},
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],
"query": "NOT event_type:stats AND event_type:*",
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}
],
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"title": "SN-ALL-EventsList",
"transformations": [
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"id": "filterFieldsByName",
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"dest_port",
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}
],
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],
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{
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"value": "Elasticsearch"
},
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"type": "datasource"
}
]
},
"time": {
"from": "now-24h",
"to": "now"
},
"timepicker": {},
"timezone": "",
"title": "SELKS SN-ALL",
"uid": "mlSBCq5Gz",
"version": 17,
"description": "Dashboard SELKS for Grafana\r\nSN-ALL\r\nhttps://github.com/b4b857f6ee/selks_grafana_dashboard"
} | 2020-10-20 19:42:26 UTC | 2020-10-20 19:42:56 UTC | 0 | 0 |