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17,596 | 1 | 760,659 | 27,024 | 0 | kured | Kured | Display if nodes need rebooting and resource usage from kured | 2022-12-13 19:46:29 UTC | 2022-12-13 19:46:48 UTC | 0 | null | 0 | 0 | nodeExporter | null | 0 | 0 | 27,024 | 1 | 17,596 | 1 | 0 | Display if nodes need rebooting and resource usage from kured | {
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} | 2022-12-13 19:46:29 UTC | null | 0 | 0 |
17,939 | 1 | 779,118 | 27,508 | 0 | chia-farming | Chia Farming | Farming dashboard for use with chia-exporter | 2023-01-24 19:55:03 UTC | 2023-01-24 19:59:57 UTC | 0 | Shows core chia farm metrics with data collected by [Chia Exporter](https://github.com/Chia-Network/chia-exporter) | 80,952 | 80,953 | Other | null | 2 | 5 | 27,508 | 1 | 17,939 | 1 | 0 | null | {
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} | 2023-03-11 13:07:45 UTC | null | 0 | 0 |
18,259 | 1 | 800,246 | 28,031 | 0 | home-energy-usage | Home Energy Usage | A dashboard that shows your home energy usage. Using Prometheus, Home Assistant and the Emporia Vue 2. | 2023-03-12 07:20:22 UTC | 2023-03-12 07:20:58 UTC | 0 | null | 0 | 0 | Other | null | 0 | 0 | 28,031 | 1 | 18,259 | 1 | 0 | A dashboard that shows your home energy usage. Using Prometheus, Home Assistant and the Emporia Vue 2. | {
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} | 2023-03-12 07:20:22 UTC | null | 0 | 0 |
18,423 | 1 | 828,367 | 28,254 | 0 | localcert-exporter | localcert-exporter | localcert exporter pour connaitre les dates de création et expiration des certificats en *.prem | 2023-04-02 22:02:24 UTC | 2023-04-02 22:04:24 UTC | 0 | * https://hub.docker.com/repository/docker/hetimop/localcert-exporter/general
* https://github.com/Hetimop/localcert-exporter | 0 | 0 | Other | null | 0 | 0 | 28,254 | 1 | 18,423 | 1 | 0 | null | {
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"serial": "Serial",
"serial 1": "",
"subject": "",
"url": "Domaine"
}
}
}
],
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"style": "dark",
"tags": [],
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"to": "now"
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"title": "localcert-exporter",
"uid": "M-9lEMYVz",
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"description": "localcert exporter pour connaitre les dates de création et expiration des certificats en *.prem"
} | 2023-04-02 22:02:24 UTC | 2023-04-02 22:04:20 UTC | 0 | 0 |
18,521 | 1 | 836,532 | 28,405 | 0 | wordpress-statistics-dashboard | Wordpress statistics dashboard | Wordpress statistics dashboard includes:
- Top 5 pages
- Top browsers
- Top 10 Referring Sites
- Top Engines
- Total Visitors
- Total Online Users
- Total Visits
- Top 10 Countries (Count Visitor)
- Top 10 Countries (Hits)
- Visit & Visitor in the last 10 days
| 2023-04-14 10:30:11 UTC | 2023-04-14 10:31:00 UTC | 0 | null | 0 | 0 | collectd | null | 0 | 0 | 28,405 | 1 | 18,521 | 1 | 0 | Wordpress statistics dashboard includes:
- Top 5 pages
- Top browsers
- Top 10 Referring Sites
- Top Engines
- Total Visitors
- Total Online Users
- Total Visits
- Top 10 Countries (Count Visitor)
- Top 10 Countries (Hits)
- Visit & Visitor in the last 10 days
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"rawSql": "SELECT DATE(last_counter) as time, count(*) as Visitor FROM hawarfql_wp588.wpl7_statistics_visitor group by last_counter;",
"refId": "B",
"select": [
[
{
"params": [
"comment_ID"
],
"type": "column"
}
]
],
"table": "wpl7_comments",
"timeColumn": "comment_date",
"timeColumnType": "timestamp",
"where": [
{
"name": "$__timeFilter",
"params": [],
"type": "macro"
}
]
}
],
"thresholds": [],
"timeFrom": null,
"timeRegions": [],
"timeShift": null,
"title": "Visit & Visitor in the last 10 days",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"transparent": true,
"type": "graph",
"xaxis": {
"buckets": 10,
"max": 10,
"min": 1,
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"$$hashKey": "object:252",
"format": "short",
"label": null,
"logBase": 2,
"max": null,
"min": null,
"show": false
},
{
"$$hashKey": "object:253",
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": false
}
],
"yaxis": {
"align": false,
"alignLevel": null
}
}
],
"refresh": "",
"schemaVersion": 26,
"style": "dark",
"tags": [],
"templating": {
"list": []
},
"time": {
"from": "now-7d",
"to": "now"
},
"timepicker": {
"refresh_intervals": [
"5s",
"10s",
"30s",
"1m",
"5m",
"15m",
"30m",
"1h",
"2h",
"1d"
]
},
"timezone": "",
"title": "Wordpress statistics dashboard",
"uid": "wckvJzOMk",
"version": 120,
"description": "Wordpress statistics dashboard includes:\r\n - Top 5 pages\r\n - Top browsers\r\n - Top 10 Referring Sites\r\n - Top Engines\r\n - Total Visitors \r\n - Total Online Users\r\n - Total Visits\r\n - Top 10 Countries (Count Visitor)\r\n - Top 10 Countries (Hits)\r\n - Visit & Visitor in the last 10 days\r\n"
} | 2023-04-14 10:30:11 UTC | 2023-04-14 10:31:01 UTC | 0 | 0 |
18,612 | 1 | 275,428 | 28,532 | 0 | kernel-ebpf-hook | kernel eBPF hook | Add ebpf-exporter metrics dashboard | 2023-04-27 01:56:19 UTC | 2023-05-14 01:30:30 UTC | 0 | # Kubeservice eBPF Exporter
`eBPF Exporter` is a Prometheus exporter for custom eBPF metrics.
[Kubeservice eBPF Exporter](https://github.com/kubeservice-stack/ebpf_exporter) motivation of this exporter is to allow you to write eBPF code and export metrics that are not otherwise accessible from the Linux kernel.
This chart creates a [Kubeservice eBPF Exporter](https://github.com/kubeservice-stack/ebpf_exporter) deployment on a [Kubernetes](http://kubernetes.io) cluster using the [Helm](https://helm.sh) package manager.
## Source Code
* <https://github.com/kubeservice-stack/ebpf_exporter>
## Requirements
Kubernetes 1.13+
Kernel 4.15+
## Add Helm repository
```console
helm repo add kubeservice-stack https://kubeservice-stack.github.io/kubservice-charts
helm repo update
```
_See [`helm repo`](https://helm.sh/docs/helm/helm_repo/) for command documentation._
## Install Chart
```console
helm install [RELEASE_NAME] kubeservice-ebpf-exporter
```
_See [configuration](#configuration) below._
_See [helm install](https://helm.sh/docs/helm/helm_install/) for command documentation._
## Uninstall Chart
```console
helm uninstall [RELEASE_NAME]
```
This removes all the Kubernetes components associated with the chart and deletes the release.
_See [helm uninstall](https://helm.sh/docs/helm/helm_uninstall/) for command documentation._
## Upgrading Chart
```console
helm upgrade [RELEASE_NAME] [CHART] --install
```
_See [helm upgrade](https://helm.sh/docs/helm/helm_upgrade/) for command documentation._
## Configuration
See [Customizing the Chart Before Installing](https://helm.sh/docs/intro/using_helm/#customizing-the-chart-before-installing). To see all configurable options with detailed comments, visit the chart's [values.yaml](./values.yaml), or run these configuration commands:
```console
# Helm 2
$ helm inspect values kubeservice-ebpf-exporter
# Helm 3
$ helm show values kubeservice-ebpf-exporter
```
See [kubeservice-stack/ebpf_exporter/README.md](https://github.com/kubeservice-stack/ebpf_exporter) for further information.
## Values
Parameter | Description | Default
--------- | ----------- | -------
`image.repository` | image repository | `dongjiang1989/ebpf-exporter`
`image.tag` | image tag | `latest`
`image.pullPolicy` | image pull policy | `IfNotPresent`
`service.type` | service type | `ClusterIP`
`service.port` | service port | `80`
`service.annotations` | service annotations | `{}`
`resources` | resource requests of the pods in the daemonset | `{}`
`podAnnotations` | annotations of pods in daemonset | `{}`
`nodeSelector` | node selector rules | `{}`
`tolerations` | node tolerations | `- effect: NoSchedule operator: Exists`
`affinity` | pod affinity rules | `{}`
----------------------------------------------
Autogenerated from chart metadata using [helm-docs v1.4.0](https://github.com/norwoodj/helm-docs/releases/v1.4.0) | 83,729 | 83,730 | Other | null | 0 | 0 | 28,532 | 1 | 18,612 | 1 | 0 | null | {
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"name": "DS_PROMETHEUS",
"label": "Prometheus",
"description": "Prometheus DataSource",
"type": "datasource",
"pluginId": "prometheus",
"pluginName": "Prometheus"
}
],
"__elements": {},
"__requires": [
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "9.2.4"
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{
"type": "panel",
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{
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"annotations": {
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"repeat": "hostname",
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],
"title": "ebpf enable ${hostname}",
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"panels": [],
"targets": [
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"title": "BIO Latencies",
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"gridPos": {
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"heatmap": {},
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"legend": {
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"options": {
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"calculation": {},
"cellGap": 2,
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"color": {
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"mode": "scheme",
"reverse": false,
"scale": "exponential",
"scheme": "Spectral",
"steps": 128
},
"exemplars": {
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"filterValues": {
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"legend": {
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"rowsFrame": {
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"showValue": "never",
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"yAxis": {
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"reverse": false,
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"reverseYBuckets": false,
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},
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"format": "heatmap",
"interval": "20s",
"legendFormat": "{{le}}",
"range": true,
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],
"title": "biolatency read",
"tooltip": {
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},
"tooltipDecimals": 2,
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"yBucketBound": "auto"
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},
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},
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} | 2023-04-27 01:56:19 UTC | 2023-04-27 02:19:51 UTC | 0 | 0 |
17,335 | 1 | 107,130 | 26,643 | 0 | smokeping | Smokeping blackbox_exporter | Smokeping-like latency and loss graphs from blackbox_exporter and prometheus | 2022-11-02 22:49:47 UTC | 2022-11-02 23:00:17 UTC | 0 | This dashboard generates Smokeping-like visualizations from blackbox_exporter measurements stored in prometheus. With a scrape interval of 15 seconds you get 20 packets every 5 minutes, which is an equivalent resolution to Smokeping, but lower intervals can be used for higher sensitivity.
The "smoke" shows the range of minimum RTT, 10th percentile, 20th percentile ... 90th percentile, and maximum. The median is shown with a strong green line. Packet loss is overlaid.
For ICMP probes: probe_icmp_duration_seconds{phase="rtt"} is used, giving the ping time without DNS lookup or other overheads.
For other probes (HTTP or DNS): probe_duration_seconds is used, giving the complete request/response cycle time. | 0 | 0 | Other | null | 1 | 1 | 26,643 | 1 | 17,335 | 1 | 0 | null | {
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} | 2023-02-17 17:53:00 UTC | null | 0 | 0 |
18,814 | 1 | 497,832 | 28,846 | 0 | kubernetes-networking | Kubernetes / Networking | The Grafana dashboard for Network Observability add-on for AKS.
• Get access to cluster level network metrics like packet drops, connections stats and more.
• (Coming soon) Access to pod-level metrics for tracking network errors
| 2023-05-23 17:32:15 UTC | 2023-05-23 17:36:04 UTC | 0 | The Grafana dashboard for Network Observability add-on for AKS.
The new Network Observability add-on for AKS (Public Preview) provides complete observability into the network health and connectivity of your AKS cluster.
Key customer benefits
- Get access to cluster level network metrics like packet drops, connections stats and more.
- (GA) Access to pod-level metrics and network debuggability features
- Support for all Azure CNIs - AzureCNI and AzureCNI (Powered by Cilium)
- Support for all AKS node types - Linux and Windows
- Easy deployment using native Azure tools - AKS CLI, ARM templates, PowerShell, etc.
- Seamless integration with the Azure managed Prometheus and Azure-managed Grafana offerings.
Read more in the [Network Observability add-on documentation](https://learn.microsoft.com/en-us/azure/azure-monitor/containers/container-insights-overview) and in our [blog](https://techcommunity.microsoft.com/t5/azure-observability-blog/comprehensive-network-observability-for-aks-through-azure/ba-p/3825852).
| 84,561 | 84,562 | null | null | 0 | 0 | 28,846 | 1 | 18,814 | 1 | 0 | null | {
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} | 2023-05-23 17:32:15 UTC | 2023-05-23 17:36:01 UTC | 0 | 0 |
17,021 | 1 | 694,717 | 26,098 | 0 | fly-app | Fly App | Basic metrics for your app on Fly.io | 2022-09-20 04:06:46 UTC | 2022-09-20 04:07:11 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 26,098 | 1 | 17,021 | 1 | 0 | Basic metrics for your app on Fly.io | {
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} | 2022-09-20 04:06:46 UTC | null | 0 | 0 |
17,569 | 1 | 363,584 | 26,966 | 0 | uyuni-server | SUSE Manager Server | Overview of SUSE Manager server | 2022-12-08 14:59:46 UTC | 2022-12-08 15:01:11 UTC | 0 | null | 79,493 | 79,494 | null | null | 0 | 0 | 26,966 | 1 | 17,569 | 1 | 0 | null | {
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} | 2023-01-11 08:05:05 UTC | null | 0 | 0 |
17,854 | 1 | 773,880 | 27,383 | 0 | ruckus-msp-cloud-dashboard-devices | RUCKUS MSP Cloud Dashboard - Devices | This Dashboard queries all APs from all the End Customers (tenants) of MSP and show a single windows to monitor | 2023-01-11 08:55:51 UTC | 2023-01-11 08:56:12 UTC | 0 | null | 80,577 | 80,578 | Other | null | 0 | 0 | 27,383 | 1 | 17,854 | 1 | 0 | This Dashboard queries all APs from all the End Customers (tenants) of MSP and show a single windows to monitor | {
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"style": "dark",
"tags": [
"ruckus",
"msp",
"cloud"
],
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"list": [
{
"current": {},
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"definition": "select Device_Name, value from $series_name WHERE time >= now() - 15m and time <= now()",
"description": "Enter your End Device name",
"hide": 0,
"includeAll": false,
"label": "Device",
"multi": false,
"name": "device",
"options": [],
"query": "select Device_Name, value from $series_name WHERE time >= now() - 15m and time <= now()",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 1,
"type": "query"
},
{
"current": {
"selected": false,
"text": "sltaps",
"value": "sltaps"
},
"hide": 2,
"name": "series_name",
"options": [
{
"selected": true,
"text": "sltaps",
"value": "sltaps"
}
],
"query": "sltaps",
"skipUrlSync": false,
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},
"time": {
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},
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"uid": "MHK5JWhVk",
"version": 21,
"weekStart": "",
"gnetId": 17854
} | 2023-01-11 08:55:51 UTC | null | 0 | 0 |
18,359 | 1 | 738,545 | 28,181 | 0 | thermostat | Tado + Tuya thermostat data | Dashboard which uses the data from https://github.com/eko/tado-exporter and https://github.com/acoster/tuya-exporter to display temperature, humidity and heating status. | 2023-03-25 11:23:28 UTC | 2023-03-25 11:29:35 UTC | 0 | Uses data collected by https://github.com/eko/tado-exporter and https://github.com/acoster/tuya-exporter to display temperature, humidity and heating status.
To have the 24h aggregation displayed, the following computation rule must be added to Prometheus:
```yaml
groups:
- name: agg24h
rules:
- record: zone:tado_minutes_heating_on:24h
expr: sum_over_time(((sum(tado_activity_heating_power_percentage) by (zone)) > bool 0)[24h:1m])
- record: zone:tado_minutes_window_open:24h
expr: sum_over_time(tado_sensor_window_opened[24h:1m])
``` | 0 | 0 | Other | null | 0 | 0 | 28,181 | 1 | 18,359 | 1 | 0 | null | {
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"options": {
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"text": "Closed"
},
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"text": "Open"
}
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}
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}
]
},
{
"matcher": {
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} | 2023-03-25 11:23:28 UTC | 2023-03-25 11:29:34 UTC | 0 | 0 |
18,329 | 1 | 819,611 | 28,143 | 0 | ecoflow-smart-home-panel | Ecoflow Smart Home Panel | Monitoring metrics from Ecoflow Smart Home Panel
Metrics extracted by this worker:
https://github.com/vbash/ecoflow_exporter | 2023-03-21 08:29:40 UTC | 2023-03-21 08:44:07 UTC | 0 | https://github.com/vbash/ecoflow_exporter | 82,663 | 82,664 | Other | null | 0 | 0 | 28,143 | 1 | 18,329 | 1 | 0 | null | {
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"uid": "${DS_PROMETHEUS}"
},
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"w": 12,
"x": 0,
"y": 138
},
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"show": true,
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},
"lines": true,
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"nullPointMode": "null",
"options": {
"alertThreshold": true
},
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"pointradius": 2,
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"targets": [
{
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"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"exemplar": true,
"expr": "rate(omds_tcp_input_total{instance=\"$instance\"} [$__rate_interval]) ",
"interval": "1m",
"legendFormat": "TCP input",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"exemplar": true,
"expr": "rate(omds_cidb_input_total{instance=\"$instance\"} [$__rate_interval]) ",
"interval": "1m",
"legendFormat": "CIDB {{host}}",
"refId": "B"
}
],
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"tooltip": {
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"value_type": "individual"
},
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"show": true,
"values": []
},
"yaxes": [
{
"$$hashKey": "object:560",
"format": "short",
"logBase": 1,
"show": true
},
{
"$$hashKey": "object:561",
"format": "short",
"logBase": 1,
"show": true
}
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}
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": {
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"uid": "${DS_PROMETHEUS}"
},
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"w": 12,
"x": 12,
"y": 138
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},
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},
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"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"exemplar": true,
"expr": "rate(omds_tcp_output_total{instance=\"$instance\"} [$__rate_interval])",
"interval": "1m",
"legendFormat": "Total TCP outputs",
"refId": "A"
}
],
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"sort": 0,
"value_type": "individual"
},
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},
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},
{
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"format": "short",
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}
],
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}
}
],
"refresh": "30s",
"schemaVersion": 37,
"style": "dark",
"tags": [
"ODP",
"OMEGAMON",
"OMEGAMON Data Provider"
],
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{
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"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"definition": "label_values(jvm_classes_loaded_classes, instance)",
"hide": 0,
"includeAll": false,
"label": "Instance",
"multi": false,
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"refId": "Prometheus-instance-Variable-Query"
},
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"skipUrlSync": false,
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"tagValuesQuery": "",
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"type": "query",
"useTags": false
},
{
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"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"definition": "label_values(jvm_classes_loaded_classes{instance=\"$instance\"}, application)",
"hide": 0,
"includeAll": false,
"label": "Application",
"multi": false,
"name": "application",
"options": [],
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"query": "label_values(jvm_classes_loaded_classes{instance=\"$instance\"}, application)",
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"type": "query",
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},
{
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"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"definition": "",
"hide": 0,
"includeAll": true,
"label": "Memory Pool (heap)",
"multi": false,
"name": "memory_pool_heap",
"options": [],
"query": {
"query": "label_values(jvm_memory_used_bytes{application=\"$application\", instance=\"$instance\", area=\"heap\"},id)",
"refId": "Prometheus-memory_pool_heap-Variable-Query"
},
"refresh": 1,
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"type": "query",
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},
{
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"type": "prometheus",
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},
"definition": "",
"hide": 0,
"includeAll": true,
"label": "Memory Pool (nonheap)",
"multi": false,
"name": "memory_pool_nonheap",
"options": [],
"query": {
"query": "label_values(jvm_memory_used_bytes{application=\"$application\", instance=\"$instance\", area=\"nonheap\"},id)",
"refId": "Prometheus-memory_pool_nonheap-Variable-Query"
},
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 1,
"tagValuesQuery": "",
"tagsQuery": "",
"type": "query",
"useTags": false
}
]
},
"time": {
"from": "now-30m",
"to": "now"
},
"timepicker": {
"refresh_intervals": [
"10s",
"30s",
"1m",
"5m",
"15m",
"30m",
"1h",
"2h",
"1d"
],
"time_options": [
"5m",
"15m",
"1h",
"6h",
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"2d",
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"30d"
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},
"timezone": "",
"title": "OMEGAMON Data Provider Stack Monitoring V1",
"uid": "9ceAK4VVk",
"version": 3,
"weekStart": ""
} | 2022-10-12 01:27:50 UTC | null | 0 | 0 |
17,399 | 1 | 742,828 | 26,731 | 0 | asterisk-call-statistics | Asterisk call statistics | Statistics of calls. You can change the data yourself to display the data. All information is taken from Mysql. Write me on sord23@gmail.com if you have a questions.
You must have datasource named Asterisk with mysql database - default "asteriskcdrdb".
| 2022-11-12 18:44:33 UTC | 2022-11-12 18:45:09 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 26,731 | 1 | 17,399 | 1 | 0 | Statistics of calls. You can change the data yourself to display the data. All information is taken from Mysql. Write me on sord23@gmail.com if you have a questions.
You must have datasource named Asterisk with mysql database - default "asteriskcdrdb".
| {
"__inputs": [
{
"name": "DS_ASTERISK",
"label": "Asterisk",
"description": "",
"type": "datasource",
"pluginId": "mysql",
"pluginName": "MySQL"
}
],
"__requires": [
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "4.6.2"
},
{
"type": "panel",
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"name": "Graph",
"version": ""
},
{
"type": "datasource",
"id": "mysql",
"name": "MySQL",
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{
"type": "panel",
"id": "table",
"name": "Table",
"version": ""
}
],
"annotations": {
"list": [
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"builtIn": 1,
"datasource": "-- Grafana --",
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"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"type": "dashboard"
}
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"links": [],
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"text": "Total",
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"format": "time_series",
"rawSql": "SELECT clid as metric,\n count(*) as value,\n UNIX_TIMESTAMP(calldate) as time_sec\nFROM cdr\nWHERE ($__timeFilter(calldate) and (duration > '15') and length(src)=3 and length(dst)>3 and (disposition='ANSWERED'))\nand src not like 660 and src not like 654 and src not like 657 and src not like 647 and src not like 605 and src not like 615 and src not like '4%' and src not like 642 and src not like 617\nand src not like 646 and src not like 645 and src not like 600 and src not like 650 and src not like 648 and src not like '7%' and src not like 612 and src not like 652\nand src not like 609 and src not like 656 and src not like 644 and src not like 604 and src not like '3%' and src not like 655 and src not like 649 and src not like 614 and src not like 620\nGROUP BY clid\nORDER BY value",
"refId": "A"
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"transform": "timeseries_aggregations",
"type": "table"
},
{
"aliasColors": {},
"bars": true,
"dashLength": 10,
"dashes": false,
"datasource": "${DS_ASTERISK}",
"fill": 1,
"hideTimeOverride": false,
"id": 3,
"legend": {
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"avg": false,
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"rawSql": "SELECT\n UNIX_TIMESTAMP(calldate) as time_sec,\n clid as metric,\n count(*) as value\nFROM cdr\nWHERE ($__timeFilter(calldate) and ((src='606') or (src='608') or (src='680') or (src='681') or (src='682') or (src='659') or (src='632')) and length(src)=3 and length(dst)>3 and (duration > '15') and (disposition='ANSWERED'))\nGROUP BY clid\nORDER BY value DESC\n",
"refId": "A"
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Статистика звонков",
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"sort": 0,
"value_type": "individual"
},
"transparent": false,
"type": "graph",
"xaxis": {
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"mode": "series",
"name": null,
"show": true,
"values": [
"total"
]
},
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"format": "short",
"label": "Количество",
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{
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"label": "",
"logBase": 1,
"max": null,
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"show": true
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}
],
"repeat": null,
"repeatIteration": null,
"repeatRowId": null,
"showTitle": false,
"title": "Dashboard Row",
"titleSize": "h6"
}
],
"schemaVersion": 14,
"style": "dark",
"tags": [],
"templating": {
"list": []
},
"time": {
"from": "2018-01-14T22:48:26.000Z",
"to": "now"
},
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"title": "Asterisk call statistics",
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"description": "Statistics of calls. You can change the data yourself to display the data. All information is taken from Mysql. Write me on sord23@gmail.com if you have a questions.\r\nYou must have datasource named Asterisk with mysql database - default \"asteriskcdrdb\".\r\n"
} | 2022-11-12 18:44:33 UTC | null | 0 | 0 |
17,409 | 1 | 743,842 | 26,742 | 0 | proxmox-vm-overview | Proxmox VM [Flux] | Proxmox VM Dashboard complete written in Flux | 2022-11-14 20:22:08 UTC | 2022-11-16 10:15:54 UTC | 0 | Since Proxmox VE now has a native exporter for writing host/cluster metrics to InfluxDB 2.0 oss or cloud, i have written this grafana dashboard - completely in fluxlang.
It’s easy to use:
create a bucket + token in influxdb2
enable metric export in Proxmox VE.
verify that data is stored in the bucket
create a flux datasource in Grafana with a token that as read access to the bucket
import this dashboard template | 78,651 | 78,652 | Other | null | 0 | 0 | 26,742 | 1 | 17,409 | 1 | 0 | Only VMs - no containers! | {
"__inputs": [
{
"name": "DS_INFLUXDB",
"label": "InfluxDB",
"description": "v2.5.1",
"type": "datasource",
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}
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"name": "InfluxDB",
"version": "1.0.0"
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"description": "Proxmox VM Dashboard complete written in Flux",
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"fiscalYearStartMonth": 0,
"gnetId": 17409,
"graphTooltip": 0,
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"links": [],
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"values": false
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"textMode": "auto"
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"pluginVersion": "9.2.4",
"targets": [
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"uid": "${DS_INFLUXDB}"
},
"query": "from(bucket: \"${Bucket}\")\r\n |> range(start: v.timeRangeStart, stop:v.timeRangeStop)\r\n |> filter(fn: (r) =>\r\n r.object == \"qemu\" and\r\n r._field == \"cpu\"\r\n )\r\n |> filter(fn: (r) => r[\"vmid\"] == \"${server}\")\r\n |> aggregateWindow(every: v.windowPeriod, fn: mean)",
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"title": "CPU",
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{
"datasource": {
"type": "influxdb",
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],
"title": "Cores",
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{
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"uid": "${DS_INFLUXDB}"
},
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{
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},
"query": "from(bucket: \"proxmox\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"object\"] == \"qemu\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"uptime\")\r\n |> filter(fn: (r) => r[\"vmid\"] == \"${server}\")\r\n |> aggregateWindow(every: v.windowPeriod, fn: mean)",
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],
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}
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{
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"show": true,
"values": []
},
"yaxes": [
{
"format": "ops",
"logBase": 1,
"show": true
},
{
"format": "short",
"logBase": 1,
"show": true
}
],
"yaxis": {
"align": false
}
},
{
"collapsed": false,
"datasource": {
"type": "influxdb",
"uid": "kW6jRqvVz"
},
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 38
},
"id": 10,
"panels": [],
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "kW6jRqvVz"
},
"refId": "A"
}
],
"title": "Network",
"type": "row"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 10,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "smooth",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
},
"unit": "decbytes"
},
"overrides": []
},
"gridPos": {
"h": 6,
"w": 12,
"x": 0,
"y": 39
},
"id": 6,
"links": [],
"options": {
"legend": {
"calcs": [
"lastNotNull",
"max"
],
"displayMode": "table",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"pluginVersion": "9.2.4",
"targets": [
{
"alias": "$tag_host",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"dsType": "influxdb",
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"host"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "nics",
"orderByTime": "ASC",
"policy": "default",
"query": "from(bucket: \"proxmox\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"object\"] == \"qemu\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"netin\")\r\n |> filter(fn: (r) => r[\"vmid\"] == \"${server}\")\r\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\r\n |> derivative(unit: 1s, nonNegative: true)",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"netin"
],
"type": "field"
},
{
"params": [],
"type": "mean"
},
{
"params": [
"1s"
],
"type": "derivative"
},
{
"params": [
"$host"
],
"type": "alias"
}
]
],
"tags": [
{
"key": "object",
"operator": "=",
"value": "qemu"
}
],
"target": ""
}
],
"title": "Network transfer (in)",
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 10,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "smooth",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
},
"unit": "decbytes"
},
"overrides": []
},
"gridPos": {
"h": 6,
"w": 12,
"x": 12,
"y": 39
},
"id": 7,
"links": [],
"options": {
"legend": {
"calcs": [
"lastNotNull",
"max"
],
"displayMode": "table",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"pluginVersion": "9.2.4",
"targets": [
{
"alias": "$tag_host",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"dsType": "influxdb",
"groupBy": [
{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"host"
],
"type": "tag"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "nics",
"orderByTime": "ASC",
"policy": "default",
"query": "from(bucket: \"proxmox\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"object\"] == \"qemu\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"netout\")\r\n |> filter(fn: (r) => r[\"vmid\"] == \"${server}\")\r\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\r\n |> derivative(unit: 1s, nonNegative: true)",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"netout"
],
"type": "field"
},
{
"params": [],
"type": "mean"
},
{
"params": [
"1s"
],
"type": "derivative"
},
{
"params": [
"$host"
],
"type": "alias"
}
]
],
"tags": [
{
"key": "object",
"operator": "=",
"value": "qemu"
}
],
"target": ""
}
],
"title": "Network transfer (out)",
"type": "timeseries"
}
],
"refresh": "10s",
"schemaVersion": 37,
"style": "dark",
"tags": [],
"templating": {
"list": [
{
"current": {
"selected": false,
"text": "InfluxDB",
"value": "InfluxDB"
},
"description": "Fluxlang Capable Datasouce",
"hide": 0,
"includeAll": false,
"label": "Datasource",
"multi": false,
"name": "dsProxmox",
"options": [],
"query": "influxdb",
"queryValue": "",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"type": "datasource"
},
{
"current": {},
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"definition": "buckets()",
"hide": 0,
"includeAll": false,
"multi": false,
"name": "Bucket",
"options": [],
"query": "buckets()",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
},
{
"current": {},
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"definition": "from(bucket: \"${Bucket}\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => \r\n r._measurement == \"system\" and\r\n r.object == \"nodes\"\r\n )\r\n |> keyValues(keyColumns: [\"host\"])\r\n |> group()\r\n |> keep(columns: [\"host\"])\r\n |> distinct(column: \"host\")\r\n\r\n",
"hide": 0,
"includeAll": false,
"label": "Node",
"multi": false,
"name": "node",
"options": [],
"query": "from(bucket: \"${Bucket}\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => \r\n r._measurement == \"system\" and\r\n r.object == \"nodes\"\r\n )\r\n |> keyValues(keyColumns: [\"host\"])\r\n |> group()\r\n |> keep(columns: [\"host\"])\r\n |> distinct(column: \"host\")\r\n\r\n",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"type": "query"
},
{
"current": {},
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"definition": "from(bucket: \"${Bucket}\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => \r\n r.object == \"qemu\"\r\n )\r\n |> keyValues(keyColumns: [\"vmid\"])\r\n |> group()\r\n |> keep(columns: [\"vmid\"])\r\n |> distinct(column: \"vmid\")\r\n\r\n",
"hide": 0,
"includeAll": false,
"label": "Server",
"multi": false,
"name": "server",
"options": [],
"query": "from(bucket: \"${Bucket}\")\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => \r\n r.object == \"qemu\"\r\n )\r\n |> keyValues(keyColumns: [\"vmid\"])\r\n |> group()\r\n |> keep(columns: [\"vmid\"])\r\n |> distinct(column: \"vmid\")\r\n\r\n",
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 3,
"type": "query"
}
]
},
"time": {
"from": "now-3h",
"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": "Proxmox VM [Flux]",
"uid": "eCVEE2Zik",
"version": 14,
"weekStart": ""
} | 2022-11-14 20:22:08 UTC | 2022-11-14 20:28:35 UTC | 0 | 0 |
18,408 | 1 | 196,739 | 28,238 | 0 | database-status-dashboard | Redis Enterprise: Database Status | Prometheus-based dashboards for your Redis Enterprise Software databases. | 2023-03-31 23:00:00 UTC | 2023-04-15 13:37:41 UTC | 0 | # Redis Enterprise Software Database Dashboards
This dashboard summarizes metrics for your [Redis Enterprise Software](https://docs.redis.com/latest/rs/) databases. Some of the available metrics include the following:
* Latency
* Memory usage
* Operations per second
* Key count
* Expired keys
* Connection count
* Cache misses
* CPU
## Redis Software Dashboards
To effectively monitor your Redis Enterprise Software deployment, we recommend the following Grafana dashboards:
* [Redis Software Cluster Dashboard]()
* [Redis Software Database Dashboard]()
In addition to these dashboards, we recommend the cluster node and shard dashboards:
* [Redis Software Cluster Node Dashboard](https://github.com/redis-field-engineering/redis-enterprise-grafana-dashboards/blob/main/dashboards/software/basic/redis-software-node-dashboard.json)
* [Redis Software Shard Dashboard](https://github.com/redis-field-engineering/redis-enterprise-grafana-dashboards/blob/main/dashboards/software/basic/redis-software-shard-dashboard.json)
## Documentation
To view the complete set of available Redis Cloud dashboards, see the [Redis Enterprise Grafana Dashboards Github repository](https://github.com/redis-field-engineering/redis-enterprise-grafana-dashboards).
## Support
The Redis Grafana dashboards are supported by Redis, Inc. on a good faith effort basis. To report bugs, request features, or receive assistance, please [file an issue](https://github.com/redis-field-engineering/redis-enterprise-grafana-dashboards/issues).
## License
These dashboards and configurations are licensed under the MIT License. Copyright (C) 2023 Redis, Inc. | 83,410 | 83,411 | null | null | 0 | 0 | 28,238 | 1 | 18,408 | 1 | 0 | null | {
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{
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"pluginName": "Prometheus"
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{
"name": "DS_INFINITY",
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"pluginId": "yesoreyeram-infinity-datasource",
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{
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"type": "panel",
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},
{
"type": "datasource",
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"datasource": {
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"uid": "-- Grafana --"
},
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"target": {
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},
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"fiscalYearStartMonth": 0,
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"links": [
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"tags": [
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"targetBlank": true,
"type": "dashboards"
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],
"liveNow": false,
"panels": [
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},
"fieldConfig": {
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"step": 2400
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],
"title": "Latency",
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{
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当前适配版本Grafana9.4.7+windows_exporter-0.22.0-386.exe。 | 2023-05-01 04:55:13 UTC | 2023-05-01 14:23:47 UTC | 0 | 监控Windows系统。 | 83,919 | 83,920 | null | null | 0 | 0 | 28,575 | 1 | 18,640 | 1 | 0 | Basic overview of windows host metrics, based on WMI Exporter (v0.7.0) | {
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"legend": {
"alignAsTable": true,
"avg": true,
"current": false,
"max": false,
"min": false,
"rightSide": true,
"show": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 2,
"points": false,
"renderer": "flot",
"repeat": "host",
"repeatDirection": "v",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "irate(wmi_net_bytes_received_total{instance=~\"$host\",nic!~\"(?i).*(isatap|tunneling).*$\"}[5m]) > 0",
"format": "time_series",
"interval": "",
"intervalFactor": 1,
"legendFormat": "Received",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "- irate(wmi_net_bytes_sent_total{instance=~\"$host\",nic!~\"(?i).*(isatap|tunneling).*$\"}[5m]) < 0",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "Sent",
"refId": "B"
}
],
"thresholds": [],
"timeRegions": [],
"title": "Network Traffic | $host",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"mode": "time",
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 0,
"format": "bytes",
"label": "Load",
"logBase": 1,
"show": true
},
{
"format": "short",
"logBase": 1,
"show": true
}
],
"yaxis": {
"align": false
}
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fill": 3,
"gridPos": {
"h": 7,
"w": 12,
"x": 12,
"y": 4
},
"id": 32,
"legend": {
"alignAsTable": true,
"avg": false,
"current": false,
"max": true,
"min": false,
"rightSide": true,
"show": true,
"total": true,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 2,
"points": false,
"renderer": "flot",
"repeat": "host",
"repeatDirection": "v",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "irate(wmi_net_packets_outbound_discarded{instance=~\"$host\",nic!~\"isatap.+\"}[5m]) + irate(wmi_net_packets_outbound_errors{instance=~\"$host\"}[5m])",
"format": "time_series",
"hide": false,
"interval": "",
"intervalFactor": 1,
"legendFormat": "Sent ({{nic}})",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "irate(wmi_net_packets_received_discarded{instance=~\"$host\", nic!~\"isatap.+\"}[5m]) + irate(wmi_net_packets_received_errors{instance=~\"$host\"}[5m])",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "Received ({{nic}})",
"refId": "B"
}
],
"thresholds": [],
"timeRegions": [],
"title": "Network discarded/error | $host",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"mode": "time",
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 0,
"format": "pps",
"label": "Load",
"logBase": 1,
"show": true
},
{
"format": "short",
"logBase": 1,
"show": true
}
],
"yaxis": {
"align": false
}
}
],
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "-alul9EVz"
},
"refId": "A"
}
],
"title": "Network Details",
"type": "row"
},
{
"collapsed": true,
"datasource": {
"type": "prometheus",
"uid": "-alul9EVz"
},
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 8
},
"id": 29,
"panels": [
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fill": 3,
"gridPos": {
"h": 7,
"w": 8,
"x": 0,
"y": 5
},
"id": 33,
"legend": {
"alignAsTable": true,
"avg": false,
"current": true,
"max": false,
"min": false,
"rightSide": true,
"show": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 2,
"points": false,
"renderer": "flot",
"repeat": "host",
"repeatDirection": "v",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "wmi_logical_disk_free_bytes{instance=~\"$host\", volume !~ \"(HarddiskVolume.+|[A-Z]:.+)\"}",
"format": "time_series",
"interval": "",
"intervalFactor": 1,
"legendFormat": "{{volume}}",
"refId": "A"
}
],
"thresholds": [],
"timeRegions": [],
"title": "Disk (Free) | $host",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"mode": "time",
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 0,
"format": "bytes",
"label": "",
"logBase": 1,
"min": "0",
"show": true
},
{
"format": "short",
"logBase": 1,
"show": false
}
],
"yaxis": {
"align": false
}
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fill": 3,
"gridPos": {
"h": 7,
"w": 8,
"x": 8,
"y": 5
},
"id": 34,
"legend": {
"alignAsTable": true,
"avg": true,
"current": false,
"max": false,
"min": false,
"rightSide": true,
"show": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 2,
"points": false,
"renderer": "flot",
"repeat": "host",
"repeatDirection": "v",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "- irate(wmi_logical_disk_write_bytes_total{instance=~\"$host\", volume !~ \"(HarddiskVolume.+|[A-Z]:.+)\"}[5m]) < 0",
"format": "time_series",
"interval": "",
"intervalFactor": 1,
"legendFormat": "Write {{volume}}",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "irate(wmi_logical_disk_read_bytes_total{instance=~\"$host\", volume !~ \"(HarddiskVolume.+|[A-Z]:.+)\"}[5m]) > 0",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "Read {{volume}}",
"refId": "B"
}
],
"thresholds": [],
"timeRegions": [],
"title": "Disk Activity | $host",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"mode": "time",
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 0,
"format": "bytes",
"label": "",
"logBase": 1,
"show": true
},
{
"format": "short",
"logBase": 1,
"show": false
}
],
"yaxis": {
"align": false
}
},
{
"aliasColors": {},
"bars": false,
"dashLength": 10,
"dashes": false,
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fill": 3,
"gridPos": {
"h": 7,
"w": 8,
"x": 16,
"y": 5
},
"id": 39,
"legend": {
"alignAsTable": true,
"avg": true,
"current": false,
"max": false,
"min": false,
"rightSide": true,
"show": true,
"total": false,
"values": true
},
"lines": true,
"linewidth": 1,
"links": [],
"nullPointMode": "null",
"percentage": false,
"pointradius": 2,
"points": false,
"renderer": "flot",
"repeat": "host",
"repeatDirection": "v",
"seriesOverrides": [],
"spaceLength": 10,
"stack": false,
"steppedLine": false,
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "- irate(wmi_logical_disk_write_seconds_total{instance=~\"$host\", volume !~ \"(HarddiskVolume.+|[A-Z]:.+)\"}[5m]) < 0",
"format": "time_series",
"interval": "",
"intervalFactor": 1,
"legendFormat": "Write {{volume}}",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "irate(wmi_logical_disk_read_seconds_total{instance=~\"$host\", volume !~ \"(HarddiskVolume.+|[A-Z]:.+)\"}[5m]) > 0",
"format": "time_series",
"intervalFactor": 1,
"legendFormat": "Read {{volume}}",
"refId": "B"
}
],
"thresholds": [],
"timeRegions": [],
"title": "Disk IO | $host",
"tooltip": {
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"mode": "time",
"show": true,
"values": []
},
"yaxes": [
{
"decimals": 0,
"format": "bytes",
"label": "",
"logBase": 1,
"show": true
},
{
"format": "short",
"logBase": 1,
"show": false
}
],
"yaxis": {
"align": false
}
}
],
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "-alul9EVz"
},
"refId": "A"
}
],
"title": "Disk Details",
"type": "row"
}
],
"refresh": "10s",
"revision": 1,
"schemaVersion": 38,
"style": "dark",
"tags": [
"wmi_exporter",
"windows",
"ops"
],
"templating": {
"list": [
{
"current": {},
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"definition": "label_values(windows_os_time , job)",
"hide": 0,
"includeAll": false,
"label": "Job",
"multi": false,
"name": "job",
"options": [],
"query": {
"query": "label_values(windows_os_time , job)",
"refId": "StandardVariableQuery"
},
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 1,
"tagValuesQuery": "",
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
"current": {},
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"definition": "label_values(windows_os_time{job=~\"$job\"},instance)",
"hide": 0,
"includeAll": false,
"label": "Hostname",
"multi": true,
"name": "host",
"options": [],
"query": {
"query": "label_values(windows_os_time{job=~\"$job\"},instance)",
"refId": "StandardVariableQuery"
},
"refresh": 1,
"regex": "/([^]+)/",
"skipUrlSync": false,
"sort": 1,
"tagValuesQuery": "",
"tagsQuery": "",
"type": "query",
"useTags": false
}
]
},
"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"
]
},
"timezone": "",
"title": "Windows Host Metrics | Base 10171",
"uid": "rvykW6zZk",
"version": 4,
"weekStart": ""
} | 2023-05-01 04:55:13 UTC | 2023-05-01 14:21:06 UTC | 0 | 0 |
18,861 | 1 | 225,578 | 28,927 | 0 | mysql | Mysql | Dashboard for mysql server instance | 2023-06-01 12:59:08 UTC | 2023-06-01 13:06:41 UTC | 0 | Collect mysql, innodb and mysql-log metrics | 84,800 | 84,801 | collectd | ```
LoadPlugin mysql
<Plugin mysql>
<Database "{{ data.instance }}">
Host "{{ data.host }}"
Alias "{{ data.alias }}"
Port "{{ data.port }}"
User "{{ data.user }}"
Password "{{ data.passw }}"
InnodbStats true
MasterStats true
SlaveStats true
</Database>
</Plugin>
<Plugin "Tail">
<File "{{ collectd_mysql_log }}">
Instance "daemon"
# crached tables
<Match>
Regex " mysqld:.*\\[ERROR\\].* is marked as crashed and "
DSType "CounterInc"
Type "counter"
Instance "mysql__crashed_tables"
</Match>
# mysql access denied
<Match>
Regex " mysqld:.*\\[Warning\\] Access denied for user "
DSType "CounterInc"
Type "counter"
Instance "mysql__access_denied"
</Match>
# mysql connection aborted
<Match>
Regex " mysqld:.*\\[Warning\\] Aborted connection [0-9]+ to db:"
DSType "CounterInc"
Type "counter"
Instance "mysql__conn_aborted"
</Match>
# ERROR
<Match>
Regex " mysqld:.*\\[ERROR\\].*"
DSType "CounterInc"
Type "counter"
Instance "mysql__error"
</Match>
# Warning
<Match>
Regex " mysqld:.*\\[Warning\\].*"
DSType "CounterInc"
Type "counter"
Instance "mysql__warning"
</Match>
# Note
<Match>
Regex " mysqld:.*\\[Note\\].*"
DSType "CounterInc"
Type "counter"
Instance "mysql__note"
</Match>
# InnoDB
<Match>
Regex " mysqld:.*InnoDB:.*"
DSType "CounterInc"
Type "counter"
Instance "mysql__innodb"
</Match>
</File>
</Plugin>
``` | 0 | 0 | 28,927 | 1 | 18,861 | 1 | 0 | null | {
"__inputs": [
{
"name": "DS_GRAPHITE",
"label": "Graphite",
"description": "graphite datasource",
"type": "datasource",
"pluginId": "graphite",
"pluginName": "Graphite"
},
{
"name": "VAR_PREFIX",
"type": "constant",
"label": "prefix",
"value": "rco",
"description": "prefix of collectd write_graphite plugin"
}
],
"__elements": {},
"__requires": [
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "9.5.1"
},
{
"type": "datasource",
"id": "graphite",
"name": "Graphite",
"version": "1.0.0"
},
{
"type": "panel",
"id": "stat",
"name": "Stat",
"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": 1,
"id": null,
"links": [
{
"asDropdown": true,
"icon": "external link",
"includeVars": true,
"keepTime": true,
"tags": [
"main"
],
"targetBlank": false,
"title": "main",
"type": "dashboards"
}
],
"liveNow": false,
"panels": [
{
"collapsed": false,
"datasource": {
"type": "graphite",
"uid": "VLcL-1mMk"
},
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 0
},
"id": 19,
"panels": [],
"targets": [
{
"datasource": {
"type": "graphite",
"uid": "VLcL-1mMk"
},
"refId": "A"
}
],
"title": "System",
"type": "row"
},
{
"datasource": {
"type": "graphite",
"uid": "${DS_GRAPHITE}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"links": [],
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "red",
"value": null
},
{
"color": "#EAB839",
"value": 3600
},
{
"color": "green",
"value": 86400
}
]
},
"unit": "s"
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 6,
"x": 0,
"y": 1
},
"id": 69,
"links": [],
"maxDataPoints": 5,
"options": {
"colorMode": "value",
"graphMode": "none",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"textMode": "value"
},
"pluginVersion": "9.5.1",
"targets": [
{
"datasource": {
"type": "graphite",
"uid": "${DS_GRAPHITE}"
},
"hide": false,
"refCount": 0,
"refId": "A",
"target": "${prefix}.collectd.${vm}.${instance}.uptime",
"textEditor": true
}
],
"timeFrom": "5m",
"title": "Uptime",
"type": "stat"
},
{
"datasource": {
"type": "graphite",
"uid": "${DS_GRAPHITE}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "bars",
"fillOpacity": 100,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"decimals": 0,
"links": [],
"mappings": [],
"min": 0,
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "none"
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 18,
"x": 6,
"y": 1
},
"id": 32,
"links": [],
"options": {
"legend": {
"calcs": [
"max",
"sum",
"mean"
],
"displayMode": "table",
"placement": "right",
"showLegend": true
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"pluginVersion": "9.5.1",
"targets": [
{
"datasource": {
"type": "graphite",
"uid": "${DS_GRAPHITE}"
},
"refId": "A",
"target": "aliasByMetric(aliasSub(nonNegativeDerivative(${prefix}.collectd.${vm}.tail-daemon.counter-mysql__*), '^.*\\.counter-mysql__(.*?)$', '\\1'))",
"textEditor": true
}
],
"title": "Log Messages",
"type": "timeseries"
},
{
"datasource": {
"type": "graphite",
"uid": "${DS_GRAPHITE}"
},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 10,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"links": [],
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "none"
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 12,
"x": 0,
"y": 8
},
"id": 5,
"links": [],
"options": {
"legend": {
"calcs": [
"mean",
"max"
],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"pluginVersion": "9.5.1",
"targets": [
{
"datasource": {
"type": "graphite",
"uid": "${DS_GRAPHITE}"
},
"refCount": 0,
"refId": "A",
"target": "aliasSub(${prefix}.collectd.${vm}.${instance}.threads-*, '^.*\\.threads-(.*)$', '\\1')",
"textEditor": true
}
],
"title": "Clients",
"type": "timeseries"
},
{
"datasource": {
"type": "graphite",
"uid": "${DS_GRAPHITE}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 10,
"gradientMode": "none",
"hideFrom": {
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17,453 | 1 | 614,262 | 26,807 | 0 | nginx-ingress-controller | NGINX Ingress: dashboard | nginx.json from https://github.com/kubernetes/ingress-nginx/tree/main/deploy/grafana/dashboards | 2022-11-21 13:32:47 UTC | 2022-11-21 13:54:48 UTC | 0 | Source: https://raw.githubusercontent.com/kubernetes/ingress-nginx/main/deploy/grafana/dashboards/nginx.json | 0 | 0 | Other | null | 0 | 0 | 26,807 | 1 | 17,453 | 1 | 0 | null | {
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} | 2022-11-21 13:32:47 UTC | 2022-11-21 13:40:25 UTC | 0 | 0 |
17,711 | 1 | 765,248 | 27,178 | 0 | uprod-kubernetes-views-namespaces | namespace-kubernetes | This is a modern 'Namespaces View' dashboard for your Kubernetes cluster(s). Made for kube-prometheus-stack and take advantage of the latest Grafana features (8.x.x). GitHub repository: https://github.com/dotdc/grafana-dashboards-kubernetes | 2022-12-27 04:25:19 UTC | 2022-12-27 04:31:28 UTC | 0 | All the node values will be viewed | 0 | 0 | nodeExporter | Prometheus node exporter | 0 | 0 | 27,178 | 1 | 17,711 | 1 | 0 | This is a modern 'Namespaces View' dashboard for your Kubernetes cluster(s). Made for kube-prometheus-stack and take advantage of the latest Grafana features (8.x.x). GitHub repository: https://github.com/dotdc/grafana-dashboards-kubernetes | {
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},
"mappings": [],
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"mode": "absolute",
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]
},
"unit": "voltamp"
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},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
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},
"id": 31,
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"placement": "bottom"
},
"tooltip": {
"mode": "single"
}
},
"pluginVersion": "7.4.1",
"targets": [
{
"alias": "Volts",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
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{
"params": [
"$__interval"
],
"type": "time"
},
{
"params": [
"none"
],
"type": "fill"
}
],
"measurement": "Energy",
"orderByTime": "ASC",
"policy": "default",
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"refId": "A",
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],
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],
"measurement": "Energy",
"orderByTime": "ASC",
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"query": "SELECT first(\"CPUTemp\") FROM \"Temperature\" WHERE (\"Location\" = 'Bedroom RPi') AND $timeFilter GROUP BY time($__interval) fill(null)",
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"current"
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"refresh": "",
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"style": "dark",
"tags": [],
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},
"time": {
"from": "now-5m",
"to": "now"
},
"timepicker": {},
"timezone": "",
"title": "Home Status",
"uid": "R8LmdKRRk",
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"weekStart": "",
"gnetId": 17917,
"description": "t"
} | 2023-01-20 15:59:39 UTC | 2023-01-20 16:00:13 UTC | 0 | 0 |
18,080 | 1 | 719,035 | 27,763 | 0 | android-device | Android devices | Android device monitoring using Prometheus | 2023-02-11 13:20:03 UTC | 2023-02-11 13:28:29 UTC | 0 | A basic dashboard for [Prometheus android exporter](https://play.google.com/store/apps/details?id=info.knacki.prometheusandroidexporter) (I am not the author of the app)
Prometheus configs:
```
- job_name: 'android'
static_configs:
- targets: ['1.1.1.1:9100']
labels:
machine: 'Phone0'
```
I added machine label to be able to filter based on device | 0 | 0 | null | null | 0 | 0 | 27,763 | 1 | 18,080 | 1 | 0 | null | {
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"__elements": {},
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"id": "bargauge",
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"name": "Annotations & Alerts",
"target": {
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"refId": "A"
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"title": "Uptime",
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"type": "prometheus",
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}
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},
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"datasource": {
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},
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18,115 | 1 | 796,023 | 27,819 | 0 | kubernetes-apps-logs | Kubernetes / Apps / Logs | This dashboard shows application logs from loki | 2023-02-16 05:04:55 UTC | 2023-02-16 05:37:29 UTC | 0 | Features:
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18,169 | 1 | 547,080 | 27,908 | 0 | vscode-exporter | VSCode Exporter | Dashboard for VSCode Exporter metrics. | 2023-02-25 18:42:23 UTC | 2023-02-25 18:44:13 UTC | 0 | Basic dashboard to visualize metrics from the [VSCode Exporter](https://github.com/guicaulada/vscode-exporter). | 81,914 | 81,915 | Other | null | 0 | 0 | 27,908 | 1 | 18,169 | 1 | 0 | null | {
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17,988 | 1 | 568,285 | 27,577 | 0 | orchestrator-overview-nightnode | Orchestrator Overview NightNode | Live Peer Salty-Minning.eth | 2023-01-29 00:17:06 UTC | 2023-01-29 00:17:56 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 27,577 | 1 | 17,988 | 1 | 0 | null | {
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16,736 | 1 | 695,507 | 25,664 | 0 | shahroz | shahroz | This is for test | 2022-08-19 00:41:39 UTC | 2022-08-19 00:43:39 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 25,664 | 1 | 16,736 | 1 | 0 | null | {
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"pxlScript": "# Copyright 2018- The Pixie Authors.\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing, software\n# distributed under the License is distributed on an \"AS IS\" BASIS,\n# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n# See the License for the specific language governing permissions and\n# limitations under the License.\n#\n# SPDX-License-Identifier: Apache-2.0\n\n''' HTTP Data Tracer\n\nThis script traces all HTTP/HTTP2 data on the cluster.\n'''\nimport px\n\n# $pixieCluster - work around for grafana to update panel on variable change\n\ndef http_data(start_time: int, source_filter: str, destination_filter: str, num_head: int):\n\n df = px.DataFrame(table='http_events', start_time=start_time)\n\n # Add context.\n df.node = df.ctx['node']\n df.pid = px.upid_to_pid(df.upid)\n df = add_source_dest_columns(df)\n\n # Filter out entities as specified by the user.\n df = df[px.contains(df.source, source_filter)]\n df = df[px.contains(df.destination, destination_filter)]\n\n # Add additional filters below:\n\n # Restrict number of results.\n df = df.head(num_head)\n # Avoid conversion to wide format\n df.timestamp = df.time_\n df = df.drop(columns=['time_'])\n \n df.latency = df.latency / px.pow(10,6)\n df.resp_body_size = df.resp_body_size / px.pow(2,10) \n\n # Order columns.\n df = df['timestamp', 'source', 'destination', 'latency', 'major_version', 'req_path',\n 'req_method', 'req_headers', 'req_body', 'req_body_size', 'resp_status',\n 'resp_message', 'resp_headers', 'resp_body', 'resp_body_size']\n\n return df\n\n\ndef add_source_dest_columns(df):\n ''' Add source and destination columns for the HTTP request.\n\n HTTP requests are traced server-side (trace_role==2), unless the server is\n outside of the cluster in which case the request is traced client-side (trace_role==1).\n\n When trace_role==2, the HTTP request source is the remote_addr column\n and destination is the pod column. When trace_role==1, the HTTP request\n source is the pod column and the destination is the remote_addr column.\n\n Input DataFrame must contain trace_role, upid, remote_addr columns.\n '''\n df.pod = df.ctx['pod']\n df.namespace = df.ctx['namespace']\n\n # If remote_addr is a pod, get its name. If not, use IP address.\n df.ra_pod = px.pod_id_to_pod_name(px.ip_to_pod_id(df.remote_addr))\n df.is_ra_pod = df.ra_pod != ''\n df.ra_name = px.select(df.is_ra_pod, df.ra_pod, df.remote_addr)\n\n df.is_server_tracing = df.trace_role == 2\n df.is_source_pod_type = px.select(df.is_server_tracing, df.is_ra_pod, True)\n df.is_dest_pod_type = px.select(df.is_server_tracing, True, df.is_ra_pod)\n\n # Set source and destination based on trace_role.\n df.source = px.select(df.is_server_tracing, df.ra_name, df.pod)\n df.destination = px.select(df.is_server_tracing, df.pod, df.ra_name)\n\n # Filter out messages with empty source / destination.\n df = df[df.source != '']\n df = df[df.destination != '']\n\n df = df.drop(['ra_pod', 'is_ra_pod', 'ra_name', 'is_server_tracing'])\n return df\n\noutput = http_data($__from, '$sourceFilter', '$destinationFilter', $maxNumRecords)\n\npx.display(output)"
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} | 2022-09-16 15:29:33 UTC | 2022-09-16 15:30:22 UTC | 0 | 0 |
17,856 | 1 | 400,131 | 27,386 | 0 | nginx-ingress-controller-request-handling-performance | NGINX Ingress controller - Request Handling Performance | Just a copy of the standard dashboard but capable of filtering by namespace | 2023-01-11 11:19:44 UTC | 2023-01-11 11:20:40 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 27,386 | 1 | 17,856 | 1 | 0 | null | {
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} | 2023-01-28 11:47:08 UTC | 2023-01-28 11:50:09 UTC | 0 | 0 |
18,449 | 1 | 788,700 | 28,307 | 0 | google-cloud-billing-costs-ssdq | Google Cloud Billing invoice Costs | Display your Google Cloud Platform billing costs straight from BigQuery. invoice cost exclude discounts | 2023-04-06 04:17:15 UTC | 2023-04-06 04:18:04 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 28,307 | 1 | 18,449 | 1 | 0 | Display your Google Cloud Platform billing costs straight from BigQuery. | {
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} | 2023-04-06 04:17:15 UTC | 2023-04-06 04:18:04 UTC | 0 | 0 |
18,700 | 1 | 766,082 | 28,683 | 0 | eth-docker-logs | ETH Docker Logs | Easily view the last x minutes of logs from ETH Docker (https://eth-docker.net/) containers via Loki data source | 2023-05-09 07:28:55 UTC | 2023-05-09 07:36:51 UTC | 0 | Are you running ETHDocker (https://eth-docker.net/)? It comes with support for outputting log files from the consensus, execution, and validator docker containers, which you can check yourself on the command line, but this is a handy dashboard that pulls them all together in one place.
It also makes it nice to search log files by date at the same time, which is nice for tracking down what happened at a specific time. | 0 | 0 | Other | null | 0 | 0 | 28,683 | 1 | 18,700 | 1 | 0 | Easily view the last x minutes of logs from ETH Docker containers via Loki data source | {
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17,254 | 1 | 731,282 | 26,514 | 0 | flyte-admin-dashboard-via-prometheus | Flyte Admin Dashboard (via Prometheus) | Flyte Admin/Control Plane Dashboard. This is great for monitoring FlyteAdmin and the Service API. | 2022-10-24 04:21:12 UTC | 2022-10-24 04:22:05 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 26,514 | 1 | 17,254 | 1 | 0 | Flyte Admin/Control Plane Dashboard. This is great for monitoring FlyteAdmin and the Service API. | {
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"prometheus",
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},
"timezone": "utc",
"title": "Flyte Admin Dashboard (via Prometheus)",
"uid": "Z9aPEAyGz",
"version": 1
} | 2022-10-24 04:21:12 UTC | null | 0 | 0 |
17,328 | 1 | 734,241 | 26,636 | 0 | app-logs | App Logs | Dashboard for visualising logs collected with the .NET Core library for monitoring | 2022-11-01 23:48:47 UTC | 2022-11-01 23:51:42 UTC | 0 | [https://github.com/gerrkoff/monitoring](https://github.com/gerrkoff/monitoring) | 0 | 0 | Other | null | 0 | 0 | 26,636 | 1 | 17,328 | 1 | 0 | null | {
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18,138 | 1 | 755,144 | 27,844 | 0 | grafana-dashboard-for-cloudflare-analytics-and-overview | Grafana Dashboard for Cloudflare Analytics and Overview | Grafana Dashboard for Cloudflare - Pulls out all the Cloudflare Information, and Analytics from the GraphQL API. | 2023-02-19 05:18:06 UTC | 2023-02-19 05:18:38 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 27,844 | 1 | 18,138 | 1 | 0 | Grafana Dashboard for Cloudflare - Pulls out all the Cloudflare Information, and Analytics from the GraphQL API. | {
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"name": "DS_INFLUXDB",
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"description": "#!/bin/bash ## .SYNOPSIS ## Grafana Dashboard for Cloudflare - Using RestAPI to InfluxDB Script ## ## .DESCRIPTION ## This Script will query Cloudflare GraphQL and send the data directly to InfluxDB, which can be used to present it to Grafana. ## The Script and the Grafana Dashboard it is provided as it is, and bear in mind you can not open support Tickets regarding this project. It is a Community Project ## ## .Notes ## NAME: cloudflare-analytics.sh ## LASTEDIT: 19/03/2021 ## VERSION: 2.0 ## KEYWORDS: Cloudflare, InfluxDB, Grafana ## .Link ## https://jorgedelacruz.es/ ## https://jorgedelacruz.uk/ ## # Configurations ## # Endpoint URL for InfluxDB InfluxDBURL=\"YOURINFLUXSERVERIP\" #Your InfluxDB Server, http://FQDN or https://FQDN if using SSL InfluxDBPort=\"8086\" #Default Port InfluxDB=\"telegraf\" #Default Database InfluxDBUser=\"USER\" #User for Database InfluxDBPassword=\"PASSWORD\" #Password for Database # Endpoint URL for login action cloudflareapikey=\"YOURAPIKEY\" cloudflarezone=\"YOURZONEID\" cloudflareemail=\"YOUREMAIL\" # Time variables back_seconds=60*60*24*7 # 24 hours end_epoch=$(date +'%s') let start_epoch=$end_epoch-$back_seconds start_date=$(date --date=\"@$start_epoch\" +'%Y-%m-%d') end_date=$(date --date=\"@$end_epoch\" +'%Y-%m-%d') # Payload to query to the new GraphQL (You can always add more variables, or remove the ones you do not need) PAYLOAD='{ \"query\": \"query { viewer { zones(filter: {zoneTag: $zoneTag}) { httpRequests1dGroups(limit:7, filter: $filter,) { dimensions { date } sum { browserMap { pageViews uaBrowserFamily } bytes cachedBytes cachedRequests contentTypeMap { bytes requests edgeResponseContentTypeName } countryMap { bytes requests threats clientCountryName } encryptedBytes encryptedRequests ipClassMap { requests ipType } pageViews requests responseStatusMap { requests edgeResponseStatus } threats threatPathingMap { requests threatPathingName } } uniq { uniques } } } } }\",' PAYLOAD=\"$PAYLOAD \\\"variables\\\": { \\\"zoneTag\\\": \\\"$cloudflarezone\\\", \\\"filter\\\": { \\\"date_geq\\\": \\\"$start_date\\\", \\\"date_leq\\\": \\\"$end_date\\\" } } }\" ## # Cloudflare Analytics. This part will check on your Cloudflare Analytics, extracting the data from the last 24 hours ## cloudflareUrl=$(curl -s -X POST -H \"Content-Type: application/json\" -H \"X-Auth-Email: $cloudflareemail\" -H \"X-Auth-Key: $cloudflareapikey\" --data \"$(echo $PAYLOAD)\" https://api.cloudflare.com/client/v4/graphql/ 2>&1 -k --silent) declare -i arraydays=0 for requests in $(echo \"$cloudflareUrl\" | jq -r '.data.viewer.zones[0].httpRequests1dGroups[].sum.requests'); do ## Requests cfRequestsAll=$(echo \"$cloudflareUrl\" | jq --raw-output \".data.viewer.zones[0].httpRequests1dGroups[$arraydays].sum.requests\") if [[ $cfRequestsAll = \"null\" ]]; then break else cfRequestsCached=$(echo \"$cloudflareUrl\" | jq --raw-output \".data.viewer.zones[0].httpRequests1dGroups[$arraydays].sum.cachedRequests\") cfRequestsUncached=$(echo \"$cfRequestsAll - $cfRequestsCached\" | bc) ## Bandwidth cfBandwidthAll=$(echo \"$cloudflareUrl\" | jq --raw-output \".data.viewer.zones[0].httpRequests1dGroups[$arraydays].sum.bytes\") cfBandwidthCached=$(echo \"$cloudflareUrl\" | jq --raw-output \".data.viewer.zones[0].httpRequests1dGroups[$arraydays].sum.cachedBytes\") cfBandwidthUncached=$(echo \"$cfBandwidthAll - $cfBandwidthCached\" | bc) ## Threats cfThreatsAll=$(echo \"$cloudflareUrl\" | jq --raw-output \".data.viewer.zones[0].httpRequests1dGroups[$arraydays].sum.threats\") ## Pageviews cfPageviewsAll=$(echo \"$cloudflareUrl\" | jq --raw-output \".data.viewer.zones[0].httpRequests1dGroups[$arraydays].sum.pageViews\") ## Unique visits cfUniquesAll=$(echo \"$cloudflareUrl\" | jq --raw-output \".data.viewer.zones[0].httpRequests1dGroups[$arraydays].uniq.uniques\") ## Timestamp date=$(echo \"$cloudflareUrl\" | jq --raw-output \".data.viewer.zones[0].httpRequests1dGroups[$arraydays].dimensions.date\") cfTimeStamp=`date -d \"${date}\" '+%s'` #echo \"cloudflare_analytics,cfZone=$cloudflarezone cfRequestsAll=$cfRequestsAll,cfRequestsCached=$cfRequestsCached,cfRequestsUncached=$cfRequestsUncached,cfBandwidthAll=$cfBandwidthAll,cfBandwidthCached=$cfBandwidthCached,cfBandwidthUncached=$cfBandwidthUncached,cfThreatsAll=$cfThreatsAll,cfPageviewsAll=$cfPageviewsAll,cfUniquesAll=$cfUniquesAll $cfTimeStamp\" echo \"Writing Zone data to InfluxDB cloudflare_analytics\" curl -i -XPOST \"$InfluxDBURL:$InfluxDBPort/write?precision=s&db=$InfluxDB\" -u \"$InfluxDBUser:$InfluxDBPassword\" --data-binary \"cloudflare_analytics,cfZone=$cloudflarezone cfRequestsAll=$cfRequestsAll,cfRequestsCached=$cfRequestsCached,cfRequestsUncached=$cfRequestsUncached,cfBandwidthAll=$cfBandwidthAll,cfBandwidthCached=$cfBandwidthCached,cfBandwidthUncached=$cfBandwidthUncached,cfThreatsAll=$cfThreatsAll,cfPageviewsAll=$cfPageviewsAll,cfUniquesAll=$cfUniquesAll $cfTimeStamp\" ## Requests per Country declare -i arraycountry=0 for requests in $(echo \"$cloudflareUrl\" | jq -r '.data.viewer.zones[0].httpRequests1dGroups[].sum.countryMap[]'); do cfRequestsCC=$(echo \"$cloudflareUrl\" | jq --raw-output \".data.viewer.zones[0].httpRequests1dGroups[$arraydays].sum.countryMap[$arraycountry].clientCountryName\") if [[ $cfRequestsCC = \"null\" ]]; then break else cfRequests=$(echo \"$cloudflareUrl\" | jq --raw-output \".data.viewer.zones[0].httpRequests1dGroups[$arraydays].sum.countryMap[$arraycountry].requests // \"0\"\") echo \"Writing stats for day $date\" #echo \"cloudflare_analytics_country,country=$cfRequestsCC visits=$cfRequests $cfTimeStamp\" echo \"Writing Zone data per Country to InfluxDB cloudflare_analytics_country\" curl -i -XPOST \"$InfluxDBURL:$InfluxDBPort/write?precision=s&db=$InfluxDB\" -u \"$InfluxDBUser:$InfluxDBPassword\" --data-binary \"cloudflare_analytics_country,country=$cfRequestsCC visits=$cfRequests $cfTimeStamp\" arraycountry=$arraycountry+1 fi done arraydays=$arraydays+1 fi done ",
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{
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"usage_average"
],
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{
"key": "vcenter",
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},
{
"condition": "AND",
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}
]
}
],
"title": "Cluster RAM Usage in %",
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},
{
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},
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{
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"$inter"
],
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},
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],
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"refId": "A",
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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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"$inter"
],
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{
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{
"params": [
"bytesRx_average"
],
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}
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{
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"value": "/^$clustername$/"
}
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},
{
"alias": "$tag_clustername - Transmited",
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"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"dsType": "influxdb",
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{
"params": [
"$inter"
],
"type": "time"
},
{
"params": [
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],
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],
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}
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"query": "from(bucket: v.defaultBucket)\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] == \"vsphere_host_net\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"bytesTx_average\")\r\n |> filter(fn: (r) => r[\"clustername\"] =~ /${clustername:regex}/)\r\n |> group(columns: [\"clustername\",\"_field\"])\r\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\r\n |> yield(name: \"mean\")\r\n",
"rawQuery": false,
"refId": "B",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"bytesTx_average"
],
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}
]
}
],
"title": "Cluster Network Usage",
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},
{
"datasource": {
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},
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},
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},
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},
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},
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{
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"type": "influxdb",
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},
"dsType": "influxdb",
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{
"params": [
"$inter"
],
"type": "time"
},
{
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],
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"refId": "A",
"resultFormat": "time_series",
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{
"params": [
"totalReadLatency_average"
],
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},
{
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}
]
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"tags": [
{
"key": "clustername",
"operator": "=~",
"value": "/^$clustername$/"
}
]
},
{
"alias": "$tag_clustername - WriteAverage",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"dsType": "influxdb",
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{
"params": [
"$inter"
],
"type": "time"
},
{
"params": [
"clustername"
],
"type": "tag"
},
{
"params": [
"none"
],
"type": "fill"
}
],
"measurement": "vsphere_host_storageAdapter",
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"policy": "default",
"query": "from(bucket: v.defaultBucket)\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] == \"vsphere_host_storageAdapter\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"totalWriteLatency_average\")\r\n |> group(columns: [\"clustername\",\"_field\"])\r\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\r\n |> yield(name: \"mean\")",
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"refId": "B",
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"select": [
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{
"params": [
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],
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{
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}
]
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"value": "/^$clustername$/"
}
]
}
],
"title": "Cluster Storage Adapter",
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},
{
"collapsed": false,
"datasource": {
"type": "influxdb",
"uid": "InfluxDB"
},
"gridPos": {
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"w": 24,
"x": 0,
"y": 20
},
"id": 25,
"panels": [],
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "InfluxDB"
},
"refId": "A"
}
],
"title": "Datastore Status",
"type": "row"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"fieldConfig": {
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},
"mappings": [],
"max": 100,
"min": 0,
"thresholds": {
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"steps": [
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"color": "dark-green",
"value": null
},
{
"color": "dark-orange",
"value": 65
},
{
"color": "dark-red",
"value": 85
}
]
},
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},
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"w": 4,
"x": 0,
"y": 21
},
"hideTimeOverride": true,
"id": 34,
"interval": "$inter",
"links": [],
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"options": {
"orientation": "auto",
"reduceOptions": {
"calcs": [
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],
"fields": "",
"values": false
},
"showThresholdLabels": false,
"showThresholdMarkers": true
},
"pluginVersion": "9.1.3",
"repeat": "datastore",
"repeatDirection": "h",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"groupBy": [
{
"params": [
"$inter"
],
"type": "time"
},
{
"params": [
"null"
],
"type": "fill"
}
],
"measurement": "vsphere_datastore_disk",
"orderByTime": "ASC",
"policy": "default",
"query": "from(bucket: v.defaultBucket)\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] == \"vsphere_datastore_disk\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"capacity_latest\" or r[\"_field\"] == \"used_latest\")\r\n |> filter(fn: (r) => r[\"source\"] =~ /${datastore:regex}/)\r\n |> group()\r\n |> pivot(rowKey:[\"_time\"], columnKey: [\"_field\"], valueColumn: \"_value\")\r\n |> map(fn: (r) => ({ r with _value: float(v: r.used_latest) / float(v: r.capacity_latest) * 100.0 }))\r\n |> group(columns: [\"source\",\"_field\"])\r\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)",
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"refId": "A",
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"select": [
[
{
"params": [
"used_latest"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "source",
"operator": "=",
"value": "ZEXT-NETAPP-01"
}
]
}
],
"timeFrom": "3h",
"title": "$datastore",
"type": "gauge"
},
{
"collapsed": false,
"datasource": {
"type": "influxdb",
"uid": "InfluxDB"
},
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 33
},
"id": 20,
"panels": [],
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "InfluxDB"
},
"refId": "A"
}
],
"title": "Hypervisor Status",
"type": "row"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "CPU Usage Avg. %",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 30,
"gradientMode": "hue",
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"viz": false
},
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"pointSize": 5,
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},
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"spanNulls": true,
"stacking": {
"group": "A",
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},
"thresholdsStyle": {
"mode": "off"
}
},
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"min": 0,
"thresholds": {
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{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "percent"
},
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},
"gridPos": {
"h": 7,
"w": 6,
"x": 0,
"y": 34
},
"id": 15,
"interval": "$inter",
"links": [],
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"graph": {},
"legend": {
"calcs": [
"last",
"min",
"max"
],
"displayMode": "table",
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"showLegend": true
},
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"sort": "none"
}
},
"pluginVersion": "7.5.3",
"targets": [
{
"alias": "$tag_esxhostname",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"dsType": "influxdb",
"groupBy": [
{
"params": [
"$inter"
],
"type": "time"
},
{
"params": [
"esxhostname"
],
"type": "tag"
},
{
"params": [
"none"
],
"type": "fill"
}
],
"measurement": "vsphere_host_cpu",
"orderByTime": "ASC",
"policy": "default",
"query": "from(bucket: v.defaultBucket)\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] == \"vsphere_host_cpu\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"usage_average\")\r\n |> filter(fn: (r) => r[\"cpu\"] == \"instance-total\")\r\n |> filter(fn: (r) => r[\"esxhostname\"] =~ /${esxi:regex}/)\r\n |> group(columns: [\"esxhostname\"])\r\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\r\n |> yield(name: \"mean\")",
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"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"usage_average"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "esxhostname",
"operator": "=~",
"value": "/^$esxi$/"
},
{
"condition": "AND",
"key": "cpu",
"operator": "=",
"value": "instance-total"
}
]
}
],
"title": "Hypervisor CPU",
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"fieldConfig": {
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},
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},
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},
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}
},
"mappings": [],
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"min": 0,
"thresholds": {
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"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "percent"
},
"overrides": []
},
"gridPos": {
"h": 7,
"w": 6,
"x": 6,
"y": 34
},
"id": 16,
"interval": "$inter",
"links": [],
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"legend": {
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"min",
"max"
],
"displayMode": "table",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
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"sort": "none"
}
},
"pluginVersion": "7.5.3",
"targets": [
{
"alias": "$tag_esxhostname mem usage average",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"dsType": "influxdb",
"groupBy": [
{
"params": [
"$inter"
],
"type": "time"
},
{
"params": [
"esxhostname"
],
"type": "tag"
},
{
"params": [
"none"
],
"type": "fill"
}
],
"measurement": "vsphere_host_mem",
"orderByTime": "ASC",
"policy": "default",
"query": "from(bucket: v.defaultBucket)\r\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\r\n |> filter(fn: (r) => r[\"_measurement\"] == \"vsphere_host_mem\")\r\n |> filter(fn: (r) => r[\"_field\"] == \"usage_average\")\r\n |> filter(fn: (r) => r[\"esxhostname\"] =~ /${esxi:regex}/)\r\n |> group(columns: [\"esxhostname\"])\r\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\r\n |> yield(name: \"mean\")",
"refId": "A",
"resultFormat": "time_series",
"select": [
[
{
"params": [
"usage_average"
],
"type": "field"
},
{
"params": [],
"type": "mean"
}
]
],
"tags": [
{
"key": "esxhostname",
"operator": "=~",
"value": "/^$esxi$/"
}
]
}
],
"title": "Hypervisor Memory",
"type": "timeseries"
},
{
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} | 2023-05-22 12:30:47 UTC | null | 0 | 0 |
16,733 | 1 | 191,871 | 25,658 | 0 | kubernetes-ram-utilization-workload | Kubernetes Test RAM Utilization | Kubernetes | 2022-08-18 14:15:26 UTC | 2022-09-07 01:08:47 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 25,658 | 1 | 16,733 | 1 | 0 | null | {
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} | 2022-08-18 14:15:26 UTC | 2022-09-07 01:08:47 UTC | 0 | 0 |
18,114 | 1 | 797,098 | 27,818 | 0 | kong-official-cx | Kong - CX | Dashboard that graphs metrics exported via Prometheus plugin in Kong (http://github.com/kong/kong)
+ Total Requests | 2023-02-15 23:44:15 UTC | 2023-02-15 23:48:44 UTC | 0 | null | 81,653 | 81,654 | null | null | 0 | 0 | 27,818 | 1 | 18,114 | 1 | 0 | Dashboard that graphs metrics exported via Prometheus plugin in Kong (http://github.com/kong/kong)
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},
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"title": "TDM-iotawatt",
"uid": "OEdqdlggz",
"version": 5
} | 2022-12-16 09:14:19 UTC | null | 0 | 0 |
17,831 | 1 | 417,978 | 27,345 | 0 | a-custommade-loki-logs | A_CustomMade_Loki_Logs | Test | 2023-01-08 18:55:47 UTC | 2023-01-08 18:56:13 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 27,345 | 1 | 17,831 | 1 | 0 | null | {
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17,900 | 1 | 434,154 | 27,443 | 0 | 1-kubernetes-all-in-one-cluster-monitoring-kr-v1-26-0 | 1 Kubernetes All-in-one Cluster Monitoring KR(v1.26.0) | This dashboard is the education purpose for the Grafana panel and other functions. Thus it cannot be guaranteed for other environment. | 2023-01-18 08:01:43 UTC | 2023-01-19 08:12:48 UTC | 0 | # 쿠버네티스 올인원 모니터링 대시보드
## **제작자**
- ✔️[Hoon Jo](https://github.com/sysnet4admin)
- ✔️[Seongju Moon](https://github.com/seongjumoon)
- ✔️[Gnu Shim](https://github.com/gnu-gnu)
## 관련 정보
- 📖도서: [컨테이너 인프라 환경 구축을 위한 쿠버네티스/도커](http://www.yes24.com/Product/Goods/102099414)
- ℹ️소스: [깃허브](https://github.com/SeongJuMoon/_Lecture_graf_learning.kit)
## 중요한 알림
이 대시보드는 📖[컨테이너 인프라 환경 구축을 위한 쿠버네티스/도커](http://www.yes24.com/Product/Goods/102099414) 책에서 사용된 대시보드를 v1.26.0에 맞게 변경하였습니다. 따라서 📖[컨테이너 인프라 환경 구축을 위한 쿠버네티스/도커](http://www.yes24.com/Product/Goods/102099414) 책에서 제공하는 가상머신 환경에 유사하게 최적화 되어 있습니다. 하지만 책의 실습 버전과 다소 차이가 있기 때문에 직접적인 연결은 되지 않으며, 클라우드 사에서 제공하는 EKS,AKS,GKE에서도 일부 익스포터를 깔고 설정하면 동작되는 것은 확인하였습니다. 하지만 여러가지의 고려 사항들이 있을 수 있기 때문에 이를 보증하진 않습니다.
이 대시보드는 쿠버네티스 클러스터의 운영과 문제 해결에 필요한 정보를 보여줍니다.
4개의 영역으로 구성되어 있으며
각 영역에서는 아래와 같은 정보를 확인할 수 있습니다.
1. 클러스터 요약
- 마스터 정상 가동률
- 네임스페이스, Pod, PVC의 숫자
- 노드별 현황 정보를 보여주는 테이블
2. 클러스터 전체 정보
- 노드별 CPU 점유율
- 노드별 메모리 사용량
- 클러스터 수준의 초당 평균 네트워크 트래픽
- API 서버 호출 통계
3. 노드별 정보
- CPU 점유율
- 메모리 점유율
- 디스크 사용률
- CPU 코어 개수
- 전체 메모리 용량
- 파일 디스크립터와 컨텍스트 스위칭
- 완료된 디스크 IOPS
4. Pod별 정보
- 가동 시간
- 가동 상태
- 10분 이내 재시작 시도 횟수
- 리소스 사용량(메모리, CPU, FS)
- 리소스 할당 제한
- 초당 네트워크 트래픽
- 메모리 상태(Swap/Failure)
- 스레드 개수
[Release Note]
2023/01/28
- 최초 릴리즈
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"color": "green",
"value": null
}
]
},
"unit": "decbytes"
},
"overrides": []
},
"gridPos": {
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"w": 2,
"x": 9,
"y": 20
},
"id": 143,
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"colorMode": "value",
"graphMode": "none",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"last"
],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "9.2.4",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "kube_node_status_allocatable{resource=\"memory\",node=\"$node\"}",
"instant": true,
"interval": "",
"legendFormat": "",
"refId": "A"
}
],
"title": "메모리",
"type": "stat"
},
{
"collapsed": false,
"datasource": {
"type": "prometheus",
"uid": "siWL5MTVk"
},
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 23
},
"id": 168,
"panels": [],
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "siWL5MTVk"
},
"refId": "A"
}
],
"title": "Pod $pod",
"type": "row"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"decimals": 2,
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "blue",
"value": null
}
]
},
"unit": "s"
},
"overrides": []
},
"gridPos": {
"h": 6,
"w": 5,
"x": 0,
"y": 24
},
"id": 179,
"options": {
"colorMode": "value",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"mean"
],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "9.2.4",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "time()-kube_pod_start_time{pod=\"$pod\"}",
"instant": true,
"interval": "",
"legendFormat": "",
"refId": "A"
}
],
"title": "Pod 생성시간",
"type": "stat"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"mappings": [
{
"options": {
"0": {
"text": "Good"
},
"1": {
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"thresholds": {
"mode": "absolute",
"steps": [
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"color": "green",
"value": null
},
{
"color": "red",
"value": 1
}
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}
},
"overrides": []
},
"gridPos": {
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"w": 5,
"x": 5,
"y": 24
},
"id": 173,
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"colorMode": "background",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
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],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "9.2.4",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "sum(kube_pod_container_status_waiting{pod=\"$pod\", reason!~\"ContainerCreating\"})",
"instant": true,
"interval": "",
"legendFormat": "",
"refId": "A"
}
],
"title": "Pod 가동 상태",
"type": "stat"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "yellow",
"value": 2
},
{
"color": "red",
"value": 5
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 6,
"w": 3,
"x": 10,
"y": 24
},
"id": 175,
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"colorMode": "background",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
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],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "9.2.4",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "sum(round(increase(kube_pod_container_status_restarts_total{pod=\"$pod\"}[10m])))",
"format": "time_series",
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": "",
"refId": "A"
}
],
"title": "10분 이내 재시작",
"type": "stat"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"fieldConfig": {
"defaults": {
"decimals": 2,
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
},
"unit": "decbytes"
},
"overrides": [
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"matcher": {
"id": "byName",
"options": "CPU(%)"
},
"properties": [
{
"id": "unit",
"value": "percentunit"
},
{
"id": "thresholds",
"value": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 0.9
}
]
}
}
]
},
{
"matcher": {
"id": "byName",
"options": "Memory(bytes)"
},
"properties": [
{
"id": "max",
"value": 1073741824
}
]
},
{
"matcher": {
"id": "byName",
"options": "File system usage"
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"properties": [
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"id": "max",
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}
]
}
]
},
"gridPos": {
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"w": 7,
"x": 13,
"y": 24
},
"id": 171,
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"minVizHeight": 10,
"minVizWidth": 0,
"orientation": "horizontal",
"reduceOptions": {
"calcs": [
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],
"fields": "",
"values": false
},
"showUnfilled": true
},
"pluginVersion": "9.2.4",
"targets": [
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"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "sum(rate(container_cpu_usage_seconds_total{pod=\"$pod\"}[$duration]))",
"interval": "",
"legendFormat": "CPU(%)",
"range": true,
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "sum(container_memory_usage_bytes{pod=\"$pod\"})",
"interval": "",
"legendFormat": "Memory(bytes)",
"refId": "B"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "sum(container_fs_usage_bytes{pod=\"$pod\"}) # not working on containerD now",
"interval": "",
"legendFormat": "File system usage",
"range": true,
"refId": "C"
}
],
"title": "리소스 사용량",
"type": "bargauge"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
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"noValue": "∞",
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"color": "rgb(255, 255, 255)",
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}
]
}
},
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"matcher": {
"id": "byName",
"options": "Memory"
},
"properties": [
{
"id": "unit",
"value": "decbytes"
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},
{
"matcher": {
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},
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"w": 4,
"x": 20,
"y": 24
},
"id": 177,
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"graphMode": "none",
"justifyMode": "auto",
"orientation": "horizontal",
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"calcs": [
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],
"fields": "",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "9.2.4",
"targets": [
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"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"expr": "sum(kube_pod_container_resource_limits_cpu_cores{pod=\"$pod\"})",
"interval": "",
"legendFormat": "CPU core",
"range": true,
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "sum(kube_pod_container_resource_limits_memory_bytes{pod=\"$pod\"})",
"interval": "",
"legendFormat": "Memory",
"refId": "B"
}
],
"title": "리소스 할당 제한",
"type": "stat"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
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"fieldConfig": {
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},
"custom": {
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"axisColorMode": "text",
"axisGridShow": true,
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"drawStyle": "bars",
"fillOpacity": 100,
"gradientMode": "none",
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"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
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},
"showPoints": "never",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"links": [],
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "decbytes"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "in"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "#73BF69",
"mode": "fixed"
}
},
{
"id": "custom.transform",
"value": "negative-Y"
}
]
},
{
"matcher": {
"id": "byName",
"options": "out"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "#5794F2",
"mode": "fixed"
}
}
]
}
]
},
"gridPos": {
"h": 8,
"w": 8,
"x": 0,
"y": 30
},
"id": 169,
"options": {
"legend": {
"calcs": [
"mean",
"max",
"min"
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"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
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"sort": "none"
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},
"pluginVersion": "9.2.4",
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},
"expr": "sum(rate(container_network_receive_bytes_total{pod=\"$pod\"}[$duration]))",
"interval": "",
"intervalFactor": 1,
"legendFormat": "in",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "sum(rate(container_network_transmit_bytes_total{pod=\"$pod\"}[$duration]))",
"interval": "",
"legendFormat": "out",
"refId": "B"
}
],
"title": "초당 네트워크 트래픽",
"transformations": [],
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},
{
"datasource": {
"type": "prometheus",
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},
"description": "",
"fieldConfig": {
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},
"custom": {
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"axisColorMode": "text",
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"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 10,
"gradientMode": "none",
"hideFrom": {
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"tooltip": false,
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},
"lineInterpolation": "linear",
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"pointSize": 5,
"scaleDistribution": {
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},
"showPoints": "never",
"spanNulls": false,
"stacking": {
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},
"thresholdsStyle": {
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}
},
"links": [],
"mappings": [],
"thresholds": {
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},
{
"color": "red",
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]
},
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},
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"matcher": {
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"properties": [
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},
{
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},
{
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}
]
}
]
},
"gridPos": {
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"w": 8,
"x": 8,
"y": 30
},
"id": 180,
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"displayMode": "list",
"placement": "bottom",
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},
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},
"pluginVersion": "9.2.4",
"targets": [
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"datasource": {
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},
"expr": "sum(container_memory_swap{pod=\"$pod\"}) by (pod)",
"interval": "",
"intervalFactor": 1,
"legendFormat": "Swap",
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "sum(rate(container_memory_failcnt{pod=\"$pod\"}[$duration])) by (pod)",
"interval": "",
"legendFormat": "Memory Failure",
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}
],
"title": "메모리 상태(Swap/Failure)",
"transformations": [],
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"description": "",
"fieldConfig": {
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},
"custom": {
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"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "points",
"fillOpacity": 40,
"gradientMode": "opacity",
"hideFrom": {
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"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
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"pointSize": 5,
"scaleDistribution": {
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},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
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},
"thresholdsStyle": {
"mode": "off"
}
},
"links": [],
"mappings": [],
"thresholds": {
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{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "short"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "Thread"
},
"properties": [
{
"id": "custom.drawStyle",
"value": "bars"
},
{
"id": "custom.fillOpacity",
"value": 100
},
{
"id": "color",
"value": {
"fixedColor": "orange",
"mode": "fixed"
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},
{
"id": "custom.lineWidth",
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}
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}
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},
"gridPos": {
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"w": 8,
"x": 16,
"y": 30
},
"id": 182,
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"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
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}
},
"pluginVersion": "9.2.4",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"expr": "sum(container_threads{pod=\"$pod\", container!=\"POD\"})",
"interval": "",
"intervalFactor": 5,
"legendFormat": "Thread",
"refId": "A"
}
],
"title": "스레드 개수",
"type": "timeseries"
}
],
"refresh": "30s",
"schemaVersion": 37,
"style": "dark",
"tags": [
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"k8s"
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"templating": {
"list": [
{
"current": {},
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"definition": "label_values(node_uname_info, nodename)",
"hide": 0,
"includeAll": false,
"multi": false,
"name": "node",
"options": [],
"query": {
"query": "label_values(node_uname_info, nodename)",
"refId": "StandardVariableQuery"
},
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 1,
"tagValuesQuery": "",
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
"auto": false,
"auto_count": 30,
"auto_min": "10s",
"current": {
"selected": false,
"text": "5m",
"value": "5m"
},
"hide": 0,
"name": "duration",
"options": [
{
"selected": false,
"text": "2m",
"value": "2m"
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{
"selected": true,
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{
"selected": false,
"text": "10m",
"value": "10m"
},
{
"selected": false,
"text": "30m",
"value": "30m"
},
{
"selected": false,
"text": "1h",
"value": "1h"
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],
"query": "2m,5m,10m,30m,1h",
"queryValue": "",
"refresh": 2,
"skipUrlSync": false,
"type": "interval"
},
{
"current": {},
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"definition": "query_result(node_uname_info{nodename=\"$node\"})",
"hide": 0,
"includeAll": false,
"multi": false,
"name": "instance",
"options": [],
"query": {
"query": "query_result(node_uname_info{nodename=\"$node\"})",
"refId": "StandardVariableQuery"
},
"refresh": 1,
"regex": "/instance=\"(.+?)\"/",
"skipUrlSync": false,
"sort": 0,
"tagValuesQuery": "",
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
"current": {},
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"definition": "label_values(kube_pod_labels, namespace)",
"hide": 0,
"includeAll": false,
"multi": false,
"name": "namespace",
"options": [],
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"refId": "Prometheus-namespace-Variable-Query"
},
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 1,
"tagValuesQuery": "",
"tagsQuery": "",
"type": "query",
"useTags": false
},
{
"current": {},
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"definition": "label_values(kube_pod_info{namespace=\"$namespace\"}, pod)",
"hide": 0,
"includeAll": false,
"multi": false,
"name": "pod",
"options": [],
"query": {
"query": "label_values(kube_pod_info{namespace=\"$namespace\"}, pod)",
"refId": "StandardVariableQuery"
},
"refresh": 1,
"regex": "",
"skipUrlSync": false,
"sort": 0,
"tagValuesQuery": "",
"tagsQuery": "",
"type": "query",
"useTags": false
}
]
},
"time": {
"from": "now-3h",
"to": "now"
},
"timepicker": {
"refresh_intervals": [
"10s",
"30s",
"1m",
"5m",
"15m",
"30m",
"1h",
"2h",
"1d"
]
},
"timezone": "",
"title": "1 Kubernetes All-in-one Cluster Monitoring KR(v1.26.0)",
"uid": "4b545447f",
"version": 4,
"weekStart": ""
} | 2023-01-18 08:01:43 UTC | 2023-01-18 08:27:08 UTC | 0 | 0 |
16,832 | 1 | 577,278 | 25,804 | 0 | tnpsc | Agnocon | Describe the total list of calls | 2022-09-02 05:34:55 UTC | 2022-09-02 05:41:53 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 25,804 | 1 | 16,832 | 1 | 0 | null | {
"__inputs": [
{
"name": "DS_POSTGRESQL",
"label": "PostgreSQL",
"description": "",
"type": "datasource",
"pluginId": "postgres",
"pluginName": "PostgreSQL"
}
],
"__elements": {},
"__requires": [
{
"type": "panel",
"id": "gauge",
"name": "Gauge",
"version": ""
},
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "9.1.0"
},
{
"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": ""
},
{
"type": "panel",
"id": "yesoreyeram-boomtheme-panel",
"name": "Boom Theme",
"version": "0.2.1"
}
],
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": {
"type": "grafana",
"uid": "-- Grafana --"
},
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} | 2022-09-02 05:34:55 UTC | 2022-09-02 05:41:53 UTC | 0 | 0 |
17,109 | 1 | 719,037 | 26,250 | 0 | hzg-stats-livius | HZG Stats Livius | Statistik der Heizung in der Livius | 2022-10-02 10:53:20 UTC | 2022-10-02 10:55:52 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 26,250 | 1 | 17,109 | 1 | 0 | null | {
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"query": "from(bucket: \"bktRP4GH\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"ePowerWP\")\n |> filter(fn: (r) => r[\"meter\"] == \"WPGH\")\n |> filter(fn: (r) => r[\"mptype\"] == \"totalEnergy\")\n //|> increase()\n //|> aggregateWindow(every: 5m, fn: last, offset: -1h)\n // |> duplicate(column: \"_stop\", as: \"_time\")\n //|> max()\n |> aggregateWindow(every: v.windowPeriod, fn: last, createEmpty: false)\n |> increase()\n |> yield(name: \"increase\")",
"refId": "A"
}
],
"title": "Verbrauch WP GH in der Periode",
"type": "stat"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"fieldConfig": {
"defaults": {
"color": {
"fixedColor": "red",
"mode": "fixed"
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "kwatth"
},
"overrides": []
},
"gridPos": {
"h": 4,
"w": 6,
"x": 11,
"y": 0
},
"id": 63,
"options": {
"colorMode": "none",
"graphMode": "area",
"justifyMode": "auto",
"orientation": "auto",
"reduceOptions": {
"calcs": [
"max"
],
"fields": "/^gascnt$/",
"values": false
},
"textMode": "auto"
},
"pluginVersion": "9.0.4",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"query": "from(bucket: \"cloudbktcp\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"Gas\")\n |> filter(fn: (r) => r[\"_field\"] == \"gascnt\")\n |> aggregateWindow(every: v.windowPeriod, column: \"_field\", fn: last, createEmpty: false)\n |> increase()\n |> map(fn: (r) => ({\n r with\n _value: float(v: r._value)*0.105\n }))\n // |> yield(name: \"gas\")",
"refId": "A"
}
],
"title": "Gas",
"type": "stat"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "thresholds"
},
"custom": {
"align": "center",
"displayMode": "auto",
"inspect": false,
"minWidth": 0
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "sumGH"
},
"properties": [
{
"id": "displayName",
"value": "GH"
}
]
},
{
"matcher": {
"id": "byName",
"options": "sumVH"
},
"properties": [
{
"id": "displayName",
"value": "VH"
}
]
},
{
"matcher": {
"id": "byName",
"options": "VH"
},
"properties": [
{
"id": "custom.width",
"value": 76
}
]
},
{
"matcher": {
"id": "byName",
"options": "GH"
},
"properties": [
{
"id": "custom.width",
"value": 77
}
]
}
]
},
"gridPos": {
"h": 4,
"w": 4,
"x": 17,
"y": 0
},
"id": 68,
"options": {
"footer": {
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true,
"sortBy": []
},
"pluginVersion": "9.0.4",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB}"
},
"query": "import \"contrib/tomhollingworth/events\"\nimport \"influxdata/influxdb/monitor\"\n\nfrom(bucket: \"LiviusStats\")\n|> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n // |> range(start: -1d, stop: now())\n // |> range(start: 2022-04-13T23:29:39Z, stop: 2022-04-14T15:42:30Z)\n |> filter(fn: (r) => r[\"_measurement\"] == \"gasstat\")\n // |> keep(columns: [\"_time\", \"_value\", \"_stop\", \"_measurement\"])\n |> group()\n |> sort(columns: [\"_time\"])\n |> duplicate(column: \"_value\", as: \"gasrate\")\n |> derivative(unit: 1s, columns: [\"gasrate\"])\n |> duplicate(column: \"_value\", as: \"gascnt_delta\")\n |> difference(columns: [\"gascnt_delta\"])\n |> filter(fn: (r) => r.gascnt_delta > 1)\n |> reduce(\n fn: (r, accumulator) =>\n ({\n sumVH: (((float(v: r.gasrate < 0.1 and r.gasrate > 0.081) + (float(v: r.gasrate > 0.1) /2.0))* float(v: r.gascnt_delta +1)) *0.105)+ accumulator.sumVH,\n sumGH: (((float(v: r.gasrate <= 0.081) + (float(v: r.gasrate > 0.1) /2.0))* float(v: r.gascnt_delta +1))* 0.105) + accumulator.sumGH,\n }),\n identity: {sumVH: 0.0, sumGH: 0.0},\n )",
"refId": "A"
}
],
"title": "Gas",
"type": "table"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"description": "shows results for the whole time since start of the capture until now",
"fieldConfig": {
"defaults": {
"color": {
"fixedColor": "text",
"mode": "fixed"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"axisSoftMin": 0,
"barAlignment": 0,
"drawStyle": "bars",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineStyle": {
"fill": "solid"
},
"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
}
]
},
"unit": "percentunit"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "Temp"
},
"properties": [
{
"id": "custom.axisPlacement",
"value": "right"
},
{
"id": "displayName",
"value": "Temp"
},
{
"id": "unit",
"value": "celsius"
},
{
"id": "color",
"value": {
"fixedColor": "green",
"mode": "fixed"
}
},
{
"id": "custom.drawStyle",
"value": "line"
},
{
"id": "custom.lineStyle",
"value": {
"dash": [
10,
10
],
"fill": "dash"
}
}
]
},
{
"__systemRef": "hideSeriesFrom",
"matcher": {
"id": "byNames",
"options": {
"mode": "exclude",
"names": [
"Temp",
"ratio"
],
"prefix": "All except:",
"readOnly": true
}
},
"properties": [
{
"id": "custom.hideFrom",
"value": {
"legend": true,
"tooltip": true,
"viz": true
}
}
]
}
]
},
"gridPos": {
"h": 8,
"w": 9,
"x": 0,
"y": 4
},
"id": 70,
"options": {
"legend": {
"calcs": [
"min",
"max",
"mean"
],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"pluginVersion": "8.2.2",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"query": "f1 = 2.8\n\n// JAZ rough estimation\nVHWP =\n from(bucket: \"cloudbktcp\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"ePower\")\n |> filter(fn: (r) => r[\"_field\"] == \"sumWh\")\n |> filter(fn: (r) => r[\"eMeter\"] == \"VHWP\")\n |> aggregateWindow(every: 1d, fn: last, createEmpty: false)\n // |> map(fn: (r) => ({r with _value: float(v: r._value) * f1}))\n |> difference()\n |> keep(columns: [\"_time\", \"_value\"])\n |> rename(columns: {_value: \"VHWPvalue\"})\n |> yield(name: \"VHWPsum\")\n\nGHWP =\n from(bucket: \"bktRP4GH\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"ePowerWP\")\n |> filter(fn: (r) => r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r[\"meter\"] == \"WPGH\")\n |> filter(fn: (r) => r[\"mptype\"] == \"totalEnergy\")\n |> aggregateWindow(every: 1d, fn: last, createEmpty: false)\n // |> map(fn: (r) => ({r with _value: float(v: r._value) * f1}))\n |> difference()\n |> keep(columns: [\"_time\", \"_value\"])\n |> yield(name: \"GHWPsum\")\n\nf2 = 105.0\nGas =\n from(bucket: \"cloudbktcp\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"Gas\")\n |> filter(fn: (r) => r[\"_field\"] == \"gascnt\")\n |> increase()\n |> aggregateWindow(every: 1d, fn: last, createEmpty: false)\n \n //ga scnt might restart at 0\n |> map(fn: (r) => ({r with _value: float(v: r._value) * f2}))\n |> difference(nonNegative: true)\n |> keep(columns: [\"_time\", \"_value\"])\n |> rename(columns: {_value: \"Gasvalue\"})\n |> yield(name: \"gas\")\n\nWP = join(tables: {VHWP: VHWP, GHWP: GHWP}, on: [\"_time\"])\n|> map(fn: (r) => ({_time: r._time, WPsum: float(v: (r._value + r.VHWPvalue))}))\n//WP\njoin(tables: {WP: WP, Gas: Gas}, on: [\"_time\"])\n|> map(fn: (r) => ({_time: r._time, ratio: (r.WPsum *f1)/ ((r.WPsum*f1) + r.Gasvalue)} ))",
"refId": "A"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"hide": false,
"query": "from(bucket: \"dwdbkt\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"weather\")\n //|> filter(fn: (r) => r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r[\"dataset\"] == \"temperature_air\")\n |>drop (columns: [\"_start\",\"_stop\", \"quality\" ])\n |> aggregateWindow(every: 1d, fn: mean, createEmpty: false)\n |> map(fn: (r) => ({\n r with\n _value: if r.dataset == \"precipitation\" \n then r._value\n else (r._value - 273.15) // Kelvin -> °C\n }))\n |> rename(columns: {_value: \"Temp\"})\n |> yield(name: \"Temp\")",
"refId": "D"
}
],
"timeFrom": "now-30d/d",
"title": "Deckungsbeitrag Umweltwärme",
"transformations": [
{
"id": "convertFieldType",
"options": {
"conversions": [],
"fields": {}
}
}
],
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"description": "shows results for the whole time since start of the capture until now",
"fieldConfig": {
"defaults": {
"color": {
"fixedColor": "blue",
"mode": "fixed"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"axisSoftMin": 0,
"barAlignment": 0,
"drawStyle": "bars",
"fillOpacity": 24,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineStyle": {
"fill": "solid"
},
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "normal"
},
"thresholdsStyle": {
"mode": "off"
}
},
"displayName": "VHWP",
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
},
"unit": "short"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "value"
},
"properties": [
{
"id": "displayName",
"value": "GHWP"
},
{
"id": "color",
"value": {
"fixedColor": "yellow",
"mode": "fixed"
}
}
]
},
{
"matcher": {
"id": "byName",
"options": "gascnt"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "red",
"mode": "fixed"
}
},
{
"id": "displayName",
"value": "Gas"
}
]
},
{
"matcher": {
"id": "byName",
"options": "Temp"
},
"properties": [
{
"id": "displayName",
"value": "Temperature avg"
},
{
"id": "custom.lineStyle",
"value": {
"dash": [
0,
10
],
"fill": "dot"
}
},
{
"id": "custom.drawStyle",
"value": "line"
},
{
"id": "color",
"value": {
"fixedColor": "green",
"mode": "fixed"
}
},
{
"id": "custom.axisPlacement",
"value": "right"
},
{
"id": "unit",
"value": "celsius"
},
{
"id": "custom.stacking",
"value": {
"group": "A",
"mode": "none"
}
},
{
"id": "custom.fillOpacity",
"value": 0
},
{
"id": "custom.lineStyle",
"value": {
"dash": [
10,
10
],
"fill": "dash"
}
},
{
"id": "custom.lineWidth",
"value": 2
},
{
"id": "custom.pointSize",
"value": 7
},
{
"id": "custom.showPoints",
"value": "always"
}
]
}
]
},
"gridPos": {
"h": 14,
"w": 11,
"x": 10,
"y": 4
},
"id": 66,
"options": {
"legend": {
"calcs": [
"min",
"max",
"mean",
"sum"
],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"pluginVersion": "8.2.2",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"query": "f1 = if (\"${Option1}\" == \"Primary\") then 1.0\n else if (\"${Option1}\" == \"Costs\") then 0.00021\n else 2.8\n\nfrom(bucket: \"cloudbktcp\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"ePower\")\n |> filter(fn: (r) => r[\"_field\"] == \"sumWh\")\n |> filter(fn: (r) => r[\"eMeter\"] == \"VHWP\")\n |> aggregateWindow(every: 1d, fn: last, createEmpty: false)\n |> map(fn: (r) => ({\n r with\n _value: float(v: r._value)* f1\n }))\n |> difference()\n |> yield(name: \"VHWPsum\")\n",
"refId": "A"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"hide": false,
"query": "f1 = if (\"${Option1}\" == \"Primary\") then 1.0\n else if (\"${Option1}\" == \"Costs\") then 0.00021\n else 2.8\n\nfrom(bucket: \"bktRP4GH\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"ePowerWP\")\n |> filter(fn: (r) => r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r[\"meter\"] == \"WPGH\")\n |> filter(fn: (r) => r[\"mptype\"] == \"totalEnergy\")\n |> aggregateWindow(every: 1d, fn: last, createEmpty: false)\n |> map(fn: (r) => ({\n r with\n _value: float(v: r._value)*f1\n }))\n |> difference()\n |> yield(name: \"GHWPsum\")",
"refId": "B"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"hide": false,
"query": "f2 = if (\"${Option1}\" == \"Primary\") then 108.0\n else if (\"${Option1}\" == \"Costs\") then 0.0044\n else 108.0*0.8\n\nfrom(bucket: \"cloudbktcp\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"Gas\")\n |> filter(fn: (r) => r[\"_field\"] == \"gascnt\")\n |> increase()\n |> aggregateWindow(every: 1d, fn: last, createEmpty: false)\n //ga scnt might restart at 0\n|> map(fn: (r) => ({\n r with\n _value: float(v: r._value)*f2\n }))\n |> difference(nonNegative: true)\n \n |> yield(name: \"gas\")",
"refId": "C"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"hide": false,
"query": "from(bucket: \"dwdbkt\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"weather\")\n //|> filter(fn: (r) => r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r[\"dataset\"] == \"temperature_air\")\n |>drop (columns: [\"_start\",\"_stop\", \"quality\" ])\n |> aggregateWindow(every: 1d, fn: mean, createEmpty: false)\n |> map(fn: (r) => ({\n r with\n _value: if r.dataset == \"precipitation\" \n then r._value\n else (r._value - 273.15) // Kelvin -> °C\n }))\n |> rename(columns: {_value: \"Temp\"})\n |> yield(name: \"Temp\")",
"refId": "D"
}
],
"timeFrom": "now-30d/d",
"title": "Daily Heating $Option1",
"transformations": [
{
"id": "convertFieldType",
"options": {
"conversions": [],
"fields": {}
}
}
],
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "bars",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineStyle": {
"fill": "solid"
},
"lineWidth": 1,
"pointSize": 3,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": true,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "kwatth"
},
"overrides": []
},
"gridPos": {
"h": 5,
"w": 8,
"x": 0,
"y": 12
},
"id": 57,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"pluginVersion": "8.4.3",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"query": "from(bucket: \"cloudbktcp\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"Gas\")\n |> filter(fn: (r) => r[\"_field\"] == \"gascnt\")\n |> increase() //gascnt might restart at 0\n |> aggregateWindow(every: 1d, fn: last, createEmpty: false)\n \n |> difference(nonNegative: true)\n |> map(fn: (r) => ({\n r with\n _value: float(v: r._value)*0.105\n }))\n \n |> yield(name: \"gas\")",
"refId": "A"
}
],
"timeFrom": "now-30d/d",
"title": "Gas",
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB_RP4GH}"
},
"description": "shows results for the whole time since start of the capture until now",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"axisSoftMin": 0,
"barAlignment": 0,
"drawStyle": "bars",
"fillOpacity": 15,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineStyle": {
"fill": "solid"
},
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "always",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"displayName": "Daily Sum",
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
},
"unit": "watth"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "runtime_sum"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "light-yellow",
"mode": "fixed"
}
},
{
"id": "custom.axisLabel",
"value": "runtime"
},
{
"id": "unit",
"value": "s"
},
{
"id": "custom.axisPlacement",
"value": "right"
},
{
"id": "displayName",
"value": "runtime sum"
}
]
},
{
"matcher": {
"id": "byName",
"options": "value"
},
"properties": [
{
"id": "displayName",
"value": "Energy sum"
},
{
"id": "color",
"value": {
"fixedColor": "blue",
"mode": "fixed"
}
}
]
}
]
},
"gridPos": {
"h": 5,
"w": 9,
"x": 0,
"y": 17
},
"id": 5,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"pluginVersion": "8.2.2",
"targets": [
{
"query": " import \"influxdata/influxdb/monitor\"\nfrom(bucket: \"statbkt\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"ePowerWP\")\n |> filter(fn: (r) => r[\"_field\"] == \"value\")\n //next steps are just for safety, if there a multiple tables\n |> group()\n |> sort(columns: [\"_time\"])\n |> monitor.stateChangesOnly()\n |> group()\n |> sort(columns: [\"_time\"])\n|>elapsed()\n//we want only the time between 2 off = info\n|> filter (fn: (r) => r[\"_level\"] == \"info\")\n|> sort(columns: [\"elapsed\"])\n|> filter (fn: (r) => r[\"elapsed\"] < 7200)\n|> keep (columns: [\"elapsed\", \"_time\"])\n|> aggregateWindow(every: 1d, column: \"elapsed\", fn: sum)\n|> rename(columns: {elapsed: \"runtime_sum\"})\n|> yield (name: \"runtime_sum\")\n \n from(bucket: \"bktWP\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"ePowerWP\")\n |> filter(fn: (r) => r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r[\"meter\"] == \"WPGH\")\n |> filter(fn: (r) => r[\"mptype\"] == \"totalEnergy\")\n |> aggregateWindow(every: 1d, fn: last, createEmpty: false)\n |> difference()\n |> yield(name: \"energy_sum\")\n",
"refId": "A",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB_RP4GH}"
}
}
],
"timeFrom": "now-14d/d",
"title": "GH Power Consumption WP Daily",
"transformations": [
{
"id": "convertFieldType",
"options": {
"conversions": [],
"fields": {}
}
}
],
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"description": "shows results for the whole time since start of the capture until now",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"axisSoftMin": 0,
"barAlignment": 0,
"drawStyle": "bars",
"fillOpacity": 15,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineStyle": {
"fill": "solid"
},
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "always",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"displayName": "Daily Sum",
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
},
"unit": "watth"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "runtime_sum"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "light-yellow",
"mode": "fixed"
}
},
{
"id": "custom.axisLabel",
"value": "runtime"
},
{
"id": "unit",
"value": "s"
},
{
"id": "custom.axisPlacement",
"value": "right"
},
{
"id": "displayName",
"value": "runtime sum"
}
]
},
{
"matcher": {
"id": "byName",
"options": "sumWh"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "semi-dark-blue",
"mode": "fixed"
}
}
]
}
]
},
"gridPos": {
"h": 5,
"w": 9,
"x": 10,
"y": 18
},
"id": 46,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"pluginVersion": "8.2.2",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"query": " import \"influxdata/influxdb/monitor\"\nfrom(bucket: \"LiviusStats\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"vhwp_runs_from_total\")\n |> filter(fn: (r) => r[\"_field\"] == \"sumWh\")\n //next steps are just for safety, if there a multiple tables\n |> group()\n |> sort(columns: [\"_time\"])\n |> monitor.stateChangesOnly()\n |> group()\n |> sort(columns: [\"_time\"])\n|>elapsed()\n//we want only the time between 2 off = info\n|> filter (fn: (r) => r[\"_level\"] == \"info\")\n|> sort(columns: [\"elapsed\"])\n|> filter (fn: (r) => r[\"elapsed\"] < 7200)\n|> keep (columns: [\"elapsed\", \"_time\"])\n|> aggregateWindow(every: 1d, column: \"elapsed\", fn: sum)\n|> rename(columns: {elapsed: \"runtime_sum\"})\n|> yield (name: \"runtime_sum\")\n \nfrom(bucket: \"cloudbktcp\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"ePower\")\n |> filter(fn: (r) => r[\"_field\"] == \"sumWh\")\n |> filter(fn: (r) => r[\"eMeter\"] == \"VHWP\")\n |> aggregateWindow(every: 1d, fn: last, createEmpty: false)\n |> difference()\n |> yield(name: \"energy_sum\")",
"refId": "A"
}
],
"timeFrom": "now-14d/d",
"title": "VH Power Consumption WP Daily",
"transformations": [
{
"id": "convertFieldType",
"options": {
"conversions": [],
"fields": {}
}
}
],
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB_RP4GH}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "bars",
"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"
}
},
"displayName": "Hausstrom",
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
},
"unit": "watth"
},
"overrides": []
},
"gridPos": {
"h": 5,
"w": 10,
"x": 0,
"y": 22
},
"id": 37,
"options": {
"legend": {
"calcs": [
"min",
"max",
"mean",
"sum"
],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"query": "from(bucket: \"bktWP\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"ePowerWP\")\n |> filter(fn: (r) => r[\"meter\"] == \"HSGH\")\n |> filter(fn: (r) => r[\"mptype\"] == \"totalEnergy\")\n |> aggregateWindow(every: 1d, fn: max, createEmpty: false)\n |> difference()\n |> yield(name: \"max\")",
"refId": "A",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB_RP4GH}"
}
}
],
"timeFrom": "now-30d/d",
"title": "GH Hausstrom täglich",
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "bars",
"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"
}
},
"displayName": "Hausstrom",
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
},
"unit": "watth"
},
"overrides": []
},
"gridPos": {
"h": 6,
"w": 10,
"x": 10,
"y": 23
},
"id": 64,
"options": {
"legend": {
"calcs": [
"min",
"max",
"mean",
"sum"
],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"query": "from(bucket: \"cloudbktcp\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"ePower\")\n |> filter(fn: (r) => r[\"_field\"] == \"sumWh\")\n |> filter(fn: (r) => r[\"eMeter\"] == \"VHHS\")\n |> aggregateWindow(every: 1d, fn: max, createEmpty: false)\n |> difference()\n |> yield(name: \"max\")",
"refId": "A"
}
],
"timeFrom": "now-30d/d",
"title": "VH Hausstrom täglich",
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
},
"unit": "celsius"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "value {dataset=\"precipitation\", parameter=\"precipitation_height\", station_id=\"00433\"}"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "light-purple",
"mode": "fixed"
}
},
{
"id": "custom.drawStyle",
"value": "bars"
},
{
"id": "custom.showPoints",
"value": "always"
},
{
"id": "displayName",
"value": "Niederschlag"
},
{
"id": "custom.fillOpacity",
"value": 18
},
{
"id": "unit",
"value": "lengthmm"
},
{
"id": "custom.lineStyle",
"value": {
"fill": "solid"
}
}
]
},
{
"matcher": {
"id": "byName",
"options": "value {dataset=\"temperature_air\", parameter=\"temperature_air_mean_200\", station_id=\"00433\"}"
},
"properties": [
{
"id": "displayName",
"value": "Lufttemperatur in 2 m Höhe"
}
]
},
{
"matcher": {
"id": "byName",
"options": "value {dataset=\"dew_point\", parameter=\"temperature_dew_point_mean_200\", station_id=\"00433\"}"
},
"properties": [
{
"id": "displayName",
"value": "Taupunkt in °C"
}
]
},
{
"matcher": {
"id": "byName",
"options": "Taupunkt in °C"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "light-blue",
"mode": "fixed"
}
}
]
},
{
"matcher": {
"id": "byName",
"options": "Lufttemperatur in 2 m Höhe"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "light-orange",
"mode": "fixed"
}
}
]
},
{
"__systemRef": "hideSeriesFrom",
"matcher": {
"id": "byNames",
"options": {
"mode": "exclude",
"names": [
"Lufttemperatur in 2 m Höhe",
"Niederschlag"
],
"prefix": "All except:",
"readOnly": true
}
},
"properties": [
{
"id": "custom.hideFrom",
"value": {
"legend": false,
"tooltip": false,
"viz": true
}
}
]
}
]
},
"gridPos": {
"h": 10,
"w": 17,
"x": 0,
"y": 29
},
"id": 28,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"query": "from(bucket: \"dwdbkt\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"weather\")\n //|> filter(fn: (r) => r[\"_field\"] == \"value\")\n |>drop (columns: [\"_start\",\"_stop\", \"quality\" ])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> map(fn: (r) => ({\n r with\n _value: if r.dataset == \"precipitation\" \n then r._value\n else (r._value - 273.15)\n }))\n |> yield(name: \"mean\")",
"refId": "A",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
}
}
],
"title": "DWD Tempelhof Wetter",
"type": "timeseries"
},
{
"collapsed": false,
"datasource": {
"type": "influxdb",
"uid": "5YkhJsqMz"
},
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 39
},
"id": 24,
"panels": [],
"title": "last 2 weeks",
"type": "row"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
},
"unit": "celsius"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "value {dataset=\"precipitation\", parameter=\"precipitation_height\", station_id=\"00433\"}"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "light-purple",
"mode": "fixed"
}
},
{
"id": "custom.drawStyle",
"value": "bars"
},
{
"id": "custom.showPoints",
"value": "always"
},
{
"id": "displayName",
"value": "Niederschlag"
},
{
"id": "custom.fillOpacity",
"value": 18
},
{
"id": "unit",
"value": "lengthmm"
},
{
"id": "custom.lineStyle",
"value": {
"fill": "solid"
}
}
]
},
{
"matcher": {
"id": "byName",
"options": "value {dataset=\"temperature_air\", parameter=\"temperature_air_mean_200\", station_id=\"00433\"}"
},
"properties": [
{
"id": "displayName",
"value": "Lufttemperatur in 2 m Höhe"
}
]
},
{
"matcher": {
"id": "byName",
"options": "value {dataset=\"dew_point\", parameter=\"temperature_dew_point_mean_200\", station_id=\"00433\"}"
},
"properties": [
{
"id": "displayName",
"value": "Taupunkt in °C"
}
]
}
]
},
"gridPos": {
"h": 9,
"w": 13,
"x": 0,
"y": 40
},
"id": 22,
"interval": "1h",
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"query": "from(bucket: \"dwdbkt\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"weather\")\n //|> filter(fn: (r) => r[\"_field\"] == \"value\")\n |>drop (columns: [\"_start\",\"_stop\", \"quality\" ])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> map(fn: (r) => ({\n r with\n _value: if r.dataset == \"precipitation\" \n then r._value\n else (r._value - 273.15)\n }))\n |> yield(name: \"mean\")",
"refId": "A",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
}
}
],
"timeFrom": "now-30d/d",
"title": "Wetterdaten DWD Tempelhof",
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB_RP4GH}"
},
"description": "shows result for the actual Time Range",
"fieldConfig": {
"defaults": {
"color": {
"fixedColor": "text",
"mode": "fixed"
},
"custom": {
"axisLabel": "RunTime scale",
"axisPlacement": "auto",
"axisSoftMax": 1,
"axisSoftMin": 0,
"barAlignment": 0,
"drawStyle": "bars",
"fillOpacity": 9,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 2,
"pointSize": 10,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"decimals": 0,
"links": [],
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
}
]
},
"unit": "s"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "min"
},
"properties": [
{
"id": "displayName",
"value": "min"
},
{
"id": "color",
"value": {
"fixedColor": "semi-dark-red",
"mode": "thresholds"
}
},
{
"id": "thresholds",
"value": {
"mode": "absolute",
"steps": [
{
"color": "dark-red"
},
{
"color": "semi-dark-red",
"value": 30
},
{
"color": "light-red",
"value": 60
},
{
"color": "super-light-red",
"value": 120
}
]
}
},
{
"id": "custom.lineWidth",
"value": 3
}
]
},
{
"matcher": {
"id": "byName",
"options": "mean"
},
"properties": [
{
"id": "displayName",
"value": "mean"
},
{
"id": "color",
"value": {
"fixedColor": "#e2bc0e78",
"mode": "fixed"
}
}
]
},
{
"matcher": {
"id": "byName",
"options": "max"
},
"properties": [
{
"id": "displayName",
"value": "max"
},
{
"id": "color",
"value": {
"fixedColor": "light-green",
"mode": "fixed"
}
},
{
"id": "custom.lineWidth",
"value": 1
},
{
"id": "custom.showPoints",
"value": "always"
},
{
"id": "custom.pointSize",
"value": 4
}
]
},
{
"matcher": {
"id": "byName",
"options": "count"
},
"properties": [
{
"id": "displayName",
"value": "count"
},
{
"id": "unit",
"value": "none"
},
{
"id": "custom.axisPlacement",
"value": "right"
},
{
"id": "custom.drawStyle",
"value": "points"
},
{
"id": "custom.pointSize",
"value": 9
},
{
"id": "color",
"value": {
"fixedColor": "dark-blue",
"mode": "fixed"
}
},
{
"id": "custom.axisLabel",
"value": "count"
},
{
"id": "custom.scaleDistribution",
"value": {
"type": "linear"
}
}
]
},
{
"matcher": {
"id": "byName",
"options": "sum"
},
"properties": [
{
"id": "displayName",
"value": "sum"
},
{
"id": "custom.lineWidth",
"value": 1
}
]
},
{
"__systemRef": "hideSeriesFrom",
"matcher": {
"id": "byNames",
"options": {
"mode": "exclude",
"names": [
"min"
],
"prefix": "All except:",
"readOnly": true
}
},
"properties": [
{
"id": "custom.hideFrom",
"value": {
"legend": false,
"tooltip": false,
"viz": true
}
}
]
}
]
},
"gridPos": {
"h": 7,
"w": 8,
"x": 0,
"y": 49
},
"id": 20,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"pluginVersion": "8.2.2",
"targets": [
{
"query": "import \"influxdata/influxdb/monitor\"\nelapsed_tbl = from(bucket: \"statbkt\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"ePowerWP\")\n |> filter(fn: (r) => r[\"_field\"] == \"value\")\n //next steps are just for safety, if there a multiple tables\n |> group()\n |> sort(columns: [\"_time\"])\n |> monitor.stateChangesOnly()\n |> group()\n |> sort(columns: [\"_time\"])\n|>elapsed()\n//we want only the time between 2 off = info\n|> filter (fn: (r) => r[\"_level\"] == \"info\")\n|> filter (fn: (r) => r[\"elapsed\"] < 14400)\n//|> keep (columns: [\"elapsed\", \"_time\"])\n\nelapsed_tbl\n|> aggregateWindow(every: 1d, column: \"elapsed\", timeSrc: \"_start\", fn: min)\n|> keep (columns: [\"elapsed\", \"_time\"])\n|> rename(columns: {elapsed: \"min\"})\n|> yield (name: \"min\")\n\nelapsed_tbl\n|> aggregateWindow(every: 1d, column: \"elapsed\", timeSrc: \"_start\", fn: mean)\n|> rename(columns: {elapsed: \"mean\"})\n|> yield (name: \"mean\")\n\nelapsed_tbl\n|> aggregateWindow(every: 1d, column: \"elapsed\", timeSrc: \"_start\", fn: max)\n|> keep (columns: [\"elapsed\", \"_time\"])\n|> rename(columns: {elapsed: \"max\"})\n|> yield (name: \"max\")\n\nelapsed_tbl\n|> aggregateWindow(every: 1d, column: \"elapsed\", timeSrc: \"_start\",fn: count)\n|> keep (columns: [\"elapsed\", \"_time\"])\n|> rename(columns: {elapsed: \"count\"})\n|> yield (name: \"count\")\n\nelapsed_tbl\n|> aggregateWindow(every: 1d, column: \"elapsed\", timeSrc: \"_start\", fn: sum)\n|> keep (columns: [\"elapsed\", \"_time\"])\n|> rename(columns: {elapsed: \"sum\"})\n|> yield (name: \"sum\")",
"refId": "A",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB_RP4GH}"
}
}
],
"timeFrom": "now-30d/d",
"title": "GHWP RunTime Stats",
"transformations": [
{
"id": "convertFieldType",
"options": {
"conversions": [
{
"destinationType": "string",
"targetField": "le"
}
],
"fields": {}
}
}
],
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"description": "shows result for the actual Time Range",
"fieldConfig": {
"defaults": {
"color": {
"fixedColor": "text",
"mode": "fixed"
},
"custom": {
"axisLabel": "RunTime scale",
"axisPlacement": "auto",
"axisSoftMax": 1,
"axisSoftMin": 0,
"barAlignment": 0,
"drawStyle": "bars",
"fillOpacity": 9,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 2,
"pointSize": 10,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"decimals": 0,
"links": [],
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
}
]
},
"unit": "s"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "min"
},
"properties": [
{
"id": "displayName",
"value": "min"
},
{
"id": "color",
"value": {
"fixedColor": "semi-dark-red",
"mode": "thresholds"
}
},
{
"id": "thresholds",
"value": {
"mode": "absolute",
"steps": [
{
"color": "dark-red"
},
{
"color": "semi-dark-red",
"value": 30
},
{
"color": "light-red",
"value": 60
},
{
"color": "super-light-red",
"value": 120
}
]
}
},
{
"id": "custom.lineWidth",
"value": 3
}
]
},
{
"matcher": {
"id": "byName",
"options": "mean"
},
"properties": [
{
"id": "displayName",
"value": "mean"
},
{
"id": "color",
"value": {
"fixedColor": "dark-yellow",
"mode": "fixed"
}
}
]
},
{
"matcher": {
"id": "byName",
"options": "max"
},
"properties": [
{
"id": "displayName",
"value": "max"
},
{
"id": "color",
"value": {
"fixedColor": "light-green",
"mode": "fixed"
}
},
{
"id": "custom.lineWidth",
"value": 1
},
{
"id": "custom.showPoints",
"value": "always"
},
{
"id": "custom.pointSize",
"value": 4
}
]
},
{
"matcher": {
"id": "byName",
"options": "count"
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"properties": [
{
"id": "displayName",
"value": "count"
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{
"id": "unit",
"value": "none"
},
{
"id": "custom.axisPlacement",
"value": "right"
},
{
"id": "custom.drawStyle",
"value": "points"
},
{
"id": "custom.pointSize",
"value": 9
},
{
"id": "color",
"value": {
"fixedColor": "semi-dark-green",
"mode": "fixed"
}
},
{
"id": "custom.axisLabel",
"value": "count"
},
{
"id": "custom.scaleDistribution",
"value": {
"type": "linear"
}
}
]
},
{
"matcher": {
"id": "byName",
"options": "sum"
},
"properties": [
{
"id": "displayName",
"value": "sum"
},
{
"id": "custom.lineWidth",
"value": 1
}
]
},
{
"__systemRef": "hideSeriesFrom",
"matcher": {
"id": "byNames",
"options": {
"mode": "exclude",
"names": [
"min"
],
"prefix": "All except:",
"readOnly": true
}
},
"properties": [
{
"id": "custom.hideFrom",
"value": {
"legend": false,
"tooltip": false,
"viz": true
}
}
]
}
]
},
"gridPos": {
"h": 7,
"w": 9,
"x": 8,
"y": 49
},
"id": 43,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "multi",
"sort": "none"
}
},
"pluginVersion": "8.2.2",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"query": "elapsed_tbl = from(bucket: \"LiviusStats\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"vhwp_runs_from_total\")\n |> filter(fn: (r) => r[\"_field\"] == \"sumWh\")\n |>group()\n |> sort(columns: [\"_time\"])\n|> elapsed()\n|> filter (fn: (r) => r[\"_level\"] == \"info\")\n|> sort(columns: [\"elapsed\"])\n|> filter (fn: (r) => r[\"elapsed\"] < 10000)\n//|> keep (columns: [\"elapsed\"])\n|> keep (columns: [\"elapsed\", \"_time\"])\n\nelapsed_tbl\n|> aggregateWindow(every: 1d, column: \"elapsed\", timeSrc: \"_start\", fn: min)\n|> keep (columns: [\"elapsed\", \"_time\"])\n|> rename(columns: {elapsed: \"min\"})\n|> yield (name: \"min\")\n\nelapsed_tbl\n|> aggregateWindow(every: 1d, column: \"elapsed\", timeSrc: \"_start\", fn: mean)\n|> rename(columns: {elapsed: \"mean\"})\n|> yield (name: \"mean\")\n\nelapsed_tbl\n|> aggregateWindow(every: 1d, column: \"elapsed\", timeSrc: \"_start\", fn: max)\n|> keep (columns: [\"elapsed\", \"_time\"])\n|> rename(columns: {elapsed: \"max\"})\n|> yield (name: \"max\")\n\nelapsed_tbl\n|> aggregateWindow(every: 1d, column: \"elapsed\", timeSrc: \"_start\",fn: count)\n|> keep (columns: [\"elapsed\", \"_time\"])\n|> rename(columns: {elapsed: \"count\"})\n|> yield (name: \"count\")\n\nelapsed_tbl\n|> aggregateWindow(every: 1d, column: \"elapsed\", timeSrc: \"_start\", fn: sum)\n|> keep (columns: [\"elapsed\", \"_time\"])\n|> rename(columns: {elapsed: \"sum\"})\n|> yield (name: \"sum\")",
"refId": "A"
}
],
"timeFrom": "now-30d/d",
"title": "VHWP RunTime Stats",
"transformations": [
{
"id": "convertFieldType",
"options": {
"conversions": [
{
"destinationType": "string",
"targetField": "le"
}
],
"fields": {}
}
}
],
"type": "timeseries"
},
{
"alert": {
"alertRuleTags": {},
"conditions": [
{
"evaluator": {
"params": [
100
],
"type": "lt"
},
"operator": {
"type": "and"
},
"query": {
"params": [
"A",
"2h",
"now"
]
},
"reducer": {
"params": [],
"type": "sum"
},
"type": "query"
}
],
"executionErrorState": "alerting",
"for": "8h",
"frequency": "1h",
"handler": 1,
"message": "grafana hat beim stündlichen Stromverbrauch der WPGH einen Wert kleiner 1000 Wh entdeckt",
"name": "Power Consumption WP hourly alert",
"noDataState": "alerting",
"notifications": []
},
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"description": "shows results for the whole time since start of the capture until now",
"fieldConfig": {
"defaults": {
"color": {
"fixedColor": "green",
"mode": "thresholds",
"seriesBy": "last"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "bars",
"fillOpacity": 5,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineStyle": {
"fill": "solid"
},
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"displayName": "hour sum",
"mappings": [],
"thresholds": {
"mode": "percentage",
"steps": [
{
"color": "green"
},
{
"color": "#EAB839",
"value": 50
},
{
"color": "light-red",
"value": 75
},
{
"color": "dark-red",
"value": 80.0001
}
]
},
"unit": "watth"
},
"overrides": [
{
"__systemRef": "hideSeriesFrom",
"matcher": {
"id": "byNames",
"options": {
"mode": "exclude",
"names": [
"hour sum"
],
"prefix": "All except:",
"readOnly": true
}
},
"properties": [
{
"id": "custom.hideFrom",
"value": {
"legend": false,
"tooltip": false,
"viz": true
}
}
]
},
{
"matcher": {
"id": "byName",
"options": "hour sum"
},
"properties": [
{
"id": "color",
"value": {
"fixedColor": "green",
"mode": "fixed"
}
}
]
}
]
},
"gridPos": {
"h": 6,
"w": 11,
"x": 0,
"y": 56
},
"id": 7,
"options": {
"legend": {
"calcs": [
"max",
"mean",
"sum"
],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"pluginVersion": "8.2.2",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"query": "from(bucket: \"bktRP4GH\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"ePowerWP\")\n //|> filter(fn: (r) => r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r[\"meter\"] == \"WPGH\")\n |> filter(fn: (r) => r[\"mptype\"] == \"totalEnergy\")\n |> aggregateWindow(every: 1h, fn: last)\n |> difference()\n |> filter(fn: (r) => r[\"_value\"] < 20000)\n |> yield(name: \"sum\")",
"refId": "A"
}
],
"thresholds": [
{
"colorMode": "critical",
"op": "lt",
"value": 100,
"visible": true
}
],
"timeShift": "65m",
"title": "GH WP Power Consumption hourly",
"transformations": [],
"type": "timeseries"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"description": "shows results for the whole time since start of the capture until now",
"fieldConfig": {
"defaults": {
"color": {
"fixedColor": "green",
"mode": "thresholds",
"seriesBy": "last"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "bars",
"fillOpacity": 5,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineStyle": {
"fill": "solid"
},
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"displayName": "hour sum",
"mappings": [],
"thresholds": {
"mode": "percentage",
"steps": [
{
"color": "green"
},
{
"color": "#EAB839",
"value": 50
},
{
"color": "light-red",
"value": 75
},
{
"color": "dark-red",
"value": 80.0001
}
]
},
"unit": "watth"
},
"overrides": []
},
"gridPos": {
"h": 6,
"w": 11,
"x": 11,
"y": 56
},
"id": 44,
"options": {
"legend": {
"calcs": [
"max",
"mean",
"sum"
],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"pluginVersion": "8.2.2",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"query": "from(bucket: \"cloudbktcp\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"ePower\")\n |> filter(fn: (r) => r[\"eMeter\"] == \"VHWP\")\n |> filter(fn: (r) => r[\"_field\"] == \"sumWh\")\n |> aggregateWindow(every: 1h, fn: last)\n |> difference()\n |> filter(fn: (r) => r[\"_value\"] < 20000)\n |> yield(name: \"sum\")",
"refId": "A"
}
],
"title": "VH WP Power Consumption hourly",
"transformations": [],
"type": "timeseries"
},
{
"collapsed": false,
"datasource": {
"type": "influxdb",
"uid": "5YkhJsqMz"
},
"gridPos": {
"h": 1,
"w": 24,
"x": 0,
"y": 62
},
"id": 10,
"panels": [],
"title": "Laufzeiten",
"type": "row"
},
{
"datasource": {
"type": "datasource",
"uid": "-- Mixed --"
},
"description": "shows result for the actual Time Range",
"fieldConfig": {
"defaults": {
"color": {
"fixedColor": "blue",
"mode": "fixed"
},
"custom": {
"axisLabel": "Häufigkeit",
"axisPlacement": "auto",
"axisSoftMin": 0,
"fillOpacity": 80,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineWidth": 1,
"scaleDistribution": {
"type": "linear"
}
},
"displayName": "Display Name",
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
}
]
},
"unit": "none"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "_value"
},
"properties": [
{
"id": "unit",
"value": "percentunit"
}
]
}
]
},
"gridPos": {
"h": 6,
"w": 9,
"x": 0,
"y": 63
},
"id": 6,
"options": {
"barRadius": 0,
"barWidth": 0.66,
"groupWidth": 0.7,
"legend": {
"calcs": [],
"displayMode": "hidden",
"placement": "bottom"
},
"orientation": "auto",
"showValue": "auto",
"stacking": "none",
"text": {},
"tooltip": {
"mode": "single",
"sort": "none"
},
"xTickLabelRotation": 0,
"xTickLabelSpacing": 0
},
"pluginVersion": "8.2.2",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB_RP4GH}"
},
"query": "import \"influxdata/influxdb/monitor\"\nfrom(bucket: \"statbkt\")\n |> range(start: 2021-11-06T18:00:00Z, stop: now())\n |> filter(fn: (r) => r[\"_measurement\"] == \"ePowerWP\")\n |> filter(fn: (r) => r[\"_field\"] == \"value\")\n //next steps are just for safety, if there a multiple tables\n |> group()\n |> sort(columns: [\"_time\"])\n |> monitor.stateChangesOnly()\n |> group()\n |> sort(columns: [\"_time\"])\n|>elapsed()\n//we want only the time between 2 off = info\n|> filter (fn: (r) => r[\"_level\"] == \"info\")\n|> sort(columns: [\"elapsed\"])\n|> filter (fn: (r) => r[\"elapsed\"] < 10000)\n|> keep (columns: [\"elapsed\"])\n|> rename(columns: {elapsed: \"_value\"})\n|> toFloat()\n|> histogram(\n bins:[0.0, 60.0, 120.0, 300.0, 600.0, 1200.0, 1800.0, 2400.0, 3600.0, 7200.0, 43000.0],\n normalize: true\n )\n|> difference()",
"refId": "A"
}
],
"title": "GHWP Laufzeit in s Histogram overall",
"transformations": [
{
"id": "convertFieldType",
"options": {
"conversions": [
{
"destinationType": "string",
"targetField": "le"
}
],
"fields": {}
}
}
],
"type": "barchart"
},
{
"datasource": {
"type": "datasource",
"uid": "-- Mixed --"
},
"description": "shows result for the actual Time Range",
"fieldConfig": {
"defaults": {
"color": {
"fixedColor": "green",
"mode": "fixed"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"axisSoftMin": 0,
"fillOpacity": 80,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineWidth": 1,
"scaleDistribution": {
"type": "linear"
}
},
"displayName": "Starts",
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
}
]
},
"unit": "none"
},
"overrides": []
},
"gridPos": {
"h": 6,
"w": 8,
"x": 9,
"y": 63
},
"id": 41,
"options": {
"barRadius": 0,
"barWidth": 0.66,
"groupWidth": 0.7,
"legend": {
"calcs": [
"sum"
],
"displayMode": "list",
"placement": "bottom"
},
"orientation": "auto",
"showValue": "auto",
"stacking": "none",
"text": {},
"tooltip": {
"mode": "single",
"sort": "none"
},
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"xTickLabelSpacing": 0
},
"pluginVersion": "8.2.2",
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"query": "from(bucket: \"LiviusStats\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"vhwp_runs_from_total\")\n |> filter(fn: (r) => r[\"_field\"] == \"sumWh\")\n |>group()\n |> sort(columns: [\"_time\"])\n|> elapsed()\n|> filter (fn: (r) => r[\"_level\"] == \"info\")\n|> sort(columns: [\"elapsed\"])\n|> filter (fn: (r) => r[\"elapsed\"] < 10000)\n|> keep (columns: [\"elapsed\"])\n|> rename(columns: {elapsed: \"_value\"})\n|> toFloat()\n|> histogram(\n bins:[0.0, 60.0, 120.0, 300.0, 600.0, 1200.0, 1800.0, 2400.0, 3600.0, 7200.0, float(v: \"+Inf\")]\n )\n|> difference()\n",
"refId": "A"
}
],
"title": "VHWP Laufzeit in s Histogram TimeRange",
"transformations": [
{
"id": "convertFieldType",
"options": {
"conversions": [
{
"destinationType": "string",
"targetField": "le"
}
],
"fields": {}
}
}
],
"type": "barchart"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB_RP4GH}"
},
"description": "shows result for the actual Time Range",
"fieldConfig": {
"defaults": {
"color": {
"fixedColor": "semi-dark-blue",
"mode": "fixed"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"axisSoftMin": 0,
"fillOpacity": 80,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineWidth": 1,
"scaleDistribution": {
"type": "linear"
}
},
"displayName": "Starts",
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 6,
"w": 7,
"x": 17,
"y": 63
},
"id": 4,
"options": {
"barRadius": 0,
"barWidth": 0.66,
"groupWidth": 0.7,
"legend": {
"calcs": [
"sum"
],
"displayMode": "list",
"placement": "bottom"
},
"orientation": "auto",
"showValue": "auto",
"stacking": "none",
"text": {},
"tooltip": {
"mode": "single",
"sort": "none"
},
"xTickLabelRotation": 0,
"xTickLabelSpacing": 0
},
"pluginVersion": "8.2.2",
"targets": [
{
"query": "import \"influxdata/influxdb/monitor\"\nfrom(bucket: \"statbkt\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"ePowerWP\")\n |> filter(fn: (r) => r[\"_field\"] == \"value\")\n //next steps are just for safety, if there a multiple tables\n |> group()\n |> sort(columns: [\"_time\"])\n |> monitor.stateChangesOnly()\n |> group()\n |> sort(columns: [\"_time\"])\n|>elapsed()\n//we want only the time between 2 off = info\n|> filter (fn: (r) => r[\"_level\"] == \"info\")\n|> sort(columns: [\"elapsed\"])\n|> filter (fn: (r) => r[\"elapsed\"] < 7200)\n|> keep (columns: [\"elapsed\"])\n|> rename(columns: {elapsed: \"_value\"})\n|> toFloat()\n|> histogram(\n bins:[0.0, 60.0, 120.0, 300.0, 600.0, 1200.0, 1800.0, 2400.0, 3600.0, 7200.0, float(v: \"+Inf\")]\n )\n|> difference()",
"refId": "A",
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB_RP4GH}"
}
}
],
"title": "GH WP RunTime Histogram TimeRange",
"transformations": [
{
"id": "convertFieldType",
"options": {
"conversions": [
{
"destinationType": "string",
"targetField": "le"
}
],
"fields": {}
}
}
],
"type": "barchart"
},
{
"datasource": {
"type": "datasource",
"uid": "-- Mixed --"
},
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisLabel": "",
"axisPlacement": "auto",
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
},
"unit": "celsius"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "weather value {dataset=\"temperature_air\", parameter=\"temperature_air_mean_200\", station_id=\"00433\"}"
},
"properties": [
{
"id": "displayName",
"value": "Lufttemperatur in 2 m Höhe"
}
]
},
{
"matcher": {
"id": "byName",
"options": "count"
},
"properties": [
{
"id": "custom.axisPlacement",
"value": "right"
},
{
"id": "unit",
"value": "none"
},
{
"id": "custom.lineStyle",
"value": {
"dash": [
0,
10
],
"fill": "dot"
}
},
{
"id": "custom.drawStyle",
"value": "line"
},
{
"id": "custom.showPoints",
"value": "always"
},
{
"id": "custom.pointSize",
"value": 5
},
{
"id": "displayName",
"value": "WP_GH Starts pro Tag"
}
]
},
{
"matcher": {
"id": "byName",
"options": "VHcount"
},
"properties": [
{
"id": "custom.drawStyle",
"value": "line"
},
{
"id": "custom.axisPlacement",
"value": "right"
},
{
"id": "custom.lineStyle",
"value": {
"dash": [
0,
10
],
"fill": "dot"
}
},
{
"id": "custom.showPoints",
"value": "always"
},
{
"id": "unit",
"value": "none"
},
{
"id": "displayName",
"value": "WP_VH Starts pro Tag"
}
]
}
]
},
"gridPos": {
"h": 9,
"w": 15,
"x": 0,
"y": 69
},
"id": 38,
"interval": "1h",
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"query": "from(bucket: \"dwdbkt\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"weather\")\n //|> filter(fn: (r) => r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r[\"dataset\"] == \"temperature_air\")\n |>drop (columns: [\"_start\",\"_stop\", \"quality\" ])\n |> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)\n |> map(fn: (r) => ({\n r with\n _value: if r.dataset == \"precipitation\" \n then r._value\n else (r._value - 273.15) // Kelvin -> °C\n }))\n |> yield(name: \"mean\")",
"refId": "A"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB_RP4GH}"
},
"hide": false,
"query": "import \"influxdata/influxdb/monitor\"\nelapsed_tbl = from(bucket: \"statbkt\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"ePowerWP\")\n |> filter(fn: (r) => r[\"_field\"] == \"value\")\n //next steps are just for safety, if there a multiple tables\n |> group()\n |> sort(columns: [\"_time\"])\n |> monitor.stateChangesOnly()\n |> group()\n |> sort(columns: [\"_time\"])\n|>elapsed()\n//we want only the time between 2 off = info\n|> filter (fn: (r) => r[\"_level\"] == \"info\")\n|> filter (fn: (r) => r[\"elapsed\"] < 14400)\n//|> keep (columns: [\"elapsed\", \"_time\"])\n\n\nelapsed_tbl\n//|> aggregateWindow(every: 1d, column: \"elapsed\", timeSrc: \"_start\",fn: count)\n|> aggregateWindow(every: 1d, column: \"elapsed\",fn: count)\n|> keep (columns: [\"elapsed\", \"_time\"])\n|> rename(columns: {elapsed: \"count\"})\n|> yield (name: \"count\")",
"refId": "B"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"hide": false,
"query": "from(bucket: \"LiviusStats\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"vhwp_runs_from_total\")\n |> filter(fn: (r) => r[\"_field\"] == \"sumWh\")\n |>group()\n |> sort(columns: [\"_time\"])\n|> elapsed()\n|> filter (fn: (r) => r[\"_level\"] == \"info\")\n|> sort(columns: [\"elapsed\"])\n|> filter (fn: (r) => r[\"elapsed\"] < 10000)\n//|> keep (columns: [\"elapsed\"])\n|> keep (columns: [\"elapsed\", \"_time\"])\n|> aggregateWindow(every: 1d, column: \"elapsed\", timeSrc: \"_start\",fn: count)\n|> keep (columns: [\"elapsed\", \"_time\"])\n|> rename(columns: {elapsed: \"VHcount\"})\n|> yield (name: \"VHcount\")",
"refId": "C"
}
],
"timeFrom": "now-60d/d",
"title": "Aussen-Temperatur und tägliche WP Starts",
"type": "timeseries"
},
{
"datasource": {
"type": "datasource",
"uid": "-- Mixed --"
},
"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",
"lineStyle": {
"dash": [
10,
10
],
"fill": "dash"
},
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
},
"unit": "celsius"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "weather value {dataset=\"temperature_air\", parameter=\"temperature_air_mean_200\", station_id=\"00433\"}"
},
"properties": [
{
"id": "displayName",
"value": "Lufttemperatur in 2 m Höhe"
}
]
},
{
"matcher": {
"id": "byName",
"options": "mean"
},
"properties": [
{
"id": "custom.axisPlacement",
"value": "right"
},
{
"id": "unit",
"value": "none"
},
{
"id": "custom.lineStyle",
"value": {
"dash": [
0,
10
],
"fill": "dot"
}
},
{
"id": "custom.drawStyle",
"value": "line"
},
{
"id": "custom.showPoints",
"value": "always"
},
{
"id": "custom.pointSize",
"value": 5
},
{
"id": "displayName",
"value": "durchschnittliche WP Laufzeit in s"
}
]
}
]
},
"gridPos": {
"h": 8,
"w": 15,
"x": 7,
"y": 78
},
"id": 55,
"interval": "1h",
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"query": "from(bucket: \"dwdbkt\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"weather\")\n //|> filter(fn: (r) => r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r[\"dataset\"] == \"temperature_air\")\n |>drop (columns: [\"_start\",\"_stop\", \"quality\" ])\n |> aggregateWindow(every: 1d, fn: mean, createEmpty: false)\n |> map(fn: (r) => ({\n r with\n _value: if r.dataset == \"precipitation\" \n then r._value\n else (r._value - 273.15) // Kelvin -> °C\n }))\n |> yield(name: \"mean\")",
"refId": "A"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB_RP4GH}"
},
"hide": false,
"query": "import \"influxdata/influxdb/monitor\"\nelapsed_tbl = from(bucket: \"statbkt\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"ePowerWP\")\n |> filter(fn: (r) => r[\"_field\"] == \"value\")\n //next steps are just for safety, if there a multiple tables\n |> group()\n |> sort(columns: [\"_time\"])\n |> monitor.stateChangesOnly()\n |> group()\n |> sort(columns: [\"_time\"])\n|>elapsed()\n//we want only the time between 2 off = info\n|> filter (fn: (r) => r[\"_level\"] == \"info\")\n|> filter (fn: (r) => r[\"elapsed\"] < 14400)\n//|> keep (columns: [\"elapsed\", \"_time\"])\n\n\nelapsed_tbl\n//|> aggregateWindow(every: 1d, column: \"elapsed\", timeSrc: \"_start\",fn: mean)\n|> aggregateWindow(every: 1d, column: \"elapsed\",fn: mean)\n|> keep (columns: [\"elapsed\", \"_time\"])\n|> rename(columns: {elapsed: \"mean\"})\n|> yield (name: \"mean\")",
"refId": "B"
}
],
"timeFrom": "now-60d/d",
"title": "durchschnittliche Aussen-Temp und tägliche WP mean runtime",
"type": "timeseries"
},
{
"datasource": {
"type": "datasource",
"uid": "-- Mixed --"
},
"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",
"lineStyle": {
"dash": [
10,
10
],
"fill": "dash"
},
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green"
},
{
"color": "red",
"value": 80
}
]
},
"unit": "celsius"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "value"
},
"properties": [
{
"id": "displayName",
"value": "Lufttemperatur in 2 m Höhe"
}
]
},
{
"matcher": {
"id": "byName",
"options": "count"
},
"properties": [
{
"id": "custom.axisPlacement",
"value": "right"
},
{
"id": "unit",
"value": "none"
},
{
"id": "custom.lineStyle",
"value": {
"dash": [
0,
10
],
"fill": "dot"
}
},
{
"id": "custom.drawStyle",
"value": "line"
},
{
"id": "custom.showPoints",
"value": "always"
},
{
"id": "custom.pointSize",
"value": 5
},
{
"id": "displayName",
"value": "WP Starts pro Tag"
}
]
}
]
},
"gridPos": {
"h": 7,
"w": 13,
"x": 9,
"y": 86
},
"id": 40,
"interval": "1h",
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom"
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB-LOCAL}"
},
"query": "from(bucket: \"dwdbkt\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"weather\")\n //|> filter(fn: (r) => r[\"_field\"] == \"value\")\n |> filter(fn: (r) => r[\"dataset\"] == \"temperature_air\")\n |>drop (columns: [\"_start\",\"_stop\", \"quality\" ])\n |> aggregateWindow(every: 1d, fn: mean, createEmpty: false)\n |> map(fn: (r) => ({\n r with\n _value: if r.dataset == \"precipitation\" \n then r._value\n else (r._value - 273.15) // Kelvin -> °C\n }))\n |> yield(name: \"mean\")",
"refId": "A"
},
{
"datasource": {
"type": "influxdb",
"uid": "${DS_INFLUXDB_RP4GH}"
},
"hide": false,
"query": "import \"influxdata/influxdb/monitor\"\nelapsed_tbl = from(bucket: \"statbkt\")\n |> range(start: v.timeRangeStart, stop: v.timeRangeStop)\n |> filter(fn: (r) => r[\"_measurement\"] == \"ePowerWP\")\n |> filter(fn: (r) => r[\"_field\"] == \"value\")\n //next steps are just for safety, if there a multiple tables\n |> group()\n |> sort(columns: [\"_time\"])\n |> monitor.stateChangesOnly()\n |> group()\n |> sort(columns: [\"_time\"])\n|>elapsed()\n//we want only the time between 2 off = info\n|> filter (fn: (r) => r[\"_level\"] == \"info\")\n|> filter (fn: (r) => r[\"elapsed\"] < 14400)\n//|> keep (columns: [\"elapsed\", \"_time\"])\n\n\nelapsed_tbl\n//|> aggregateWindow(every: 1d, column: \"elapsed\", timeSrc: \"_start\",fn: count)\n|> aggregateWindow(every: 1d, column: \"elapsed\",fn: count)\n|> keep (columns: [\"elapsed\", \"_time\"])\n|> rename(columns: {elapsed: \"count\"})\n|> yield (name: \"count\")",
"refId": "B"
}
],
"timeFrom": "now-60d/d",
"title": "durchschnittliche Aussen-Temp und tägliche WP Starts",
"type": "timeseries"
}
],
"refresh": false,
"schemaVersion": 36,
"style": "dark",
"tags": [],
"templating": {
"list": [
{
"current": {
"selected": true,
"text": "Primary",
"value": "Primary"
},
"hide": 0,
"includeAll": false,
"label": "Daily Heating Option",
"multi": false,
"name": "Option1",
"options": [
{
"selected": false,
"text": "Costs",
"value": "Costs"
},
{
"selected": true,
"text": "Primary",
"value": "Primary"
},
{
"selected": false,
"text": "Heat",
"value": "Heat"
}
],
"query": "Costs, Primary, Heat",
"queryValue": "",
"skipUrlSync": false,
"type": "custom"
}
]
},
"time": {
"from": "now-24h",
"to": "now"
},
"timepicker": {},
"timezone": "",
"title": "HZG Stats Livius",
"uid": "GI9Zk85nk",
"version": 357,
"weekStart": "",
"gnetId": 17109
} | 2022-10-02 10:53:20 UTC | 2022-10-02 10:55:52 UTC | 0 | 0 |
18,328 | 1 | 683,756 | 28,140 | 0 | disk-space-utilization | Disk Utilization | Disk_space_utilization
Mix by node_exporter and windows_exporter. | 2023-03-21 02:30:35 UTC | 2023-04-10 07:52:19 UTC | 0 | Only requires the default job_name: node or windows , add as many targets as you need in `prometheus.yml`.
```yaml
- job_name: node
static_configs:
- targets: ['localhost:9100']
- job_name: windows
static_configs:
- targets: ['localhost:9182']
``` | 0 | 0 | null | null | 0 | 0 | 28,140 | 1 | 18,328 | 1 | 0 | null | {
"__inputs": [
{
"name": "DS_PROMETHEUS",
"label": "Prometheus",
"description": "",
"type": "datasource",
"pluginId": "prometheus",
"pluginName": "Prometheus"
}
],
"__elements": {},
"__requires": [
{
"type": "panel",
"id": "bargauge",
"name": "Bar gauge",
"version": ""
},
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "9.4.3"
},
{
"type": "datasource",
"id": "prometheus",
"name": "Prometheus",
"version": "1.0.0"
}
],
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": {
"type": "datasource",
"uid": "grafana"
},
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"target": {
"limit": 100,
"matchAny": false,
"tags": [],
"type": "dashboard"
},
"type": "dashboard"
}
]
},
"description": "Disk_space_utilization\nMix by node_exporter and windows_exporter.",
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 0,
"id": null,
"links": [],
"liveNow": false,
"panels": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"description": "",
"fieldConfig": {
"defaults": {
"color": {
"mode": "continuous-GrYlRd"
},
"mappings": [],
"max": 100,
"min": 0,
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
}
]
},
"unit": "percent"
},
"overrides": []
},
"gridPos": {
"h": 24,
"w": 18,
"x": 0,
"y": 0
},
"id": 2,
"options": {
"displayMode": "lcd",
"minVizHeight": 10,
"minVizWidth": 0,
"orientation": "horizontal",
"reduceOptions": {
"calcs": [
"lastNotNull"
],
"fields": "",
"values": false
},
"showUnfilled": true,
"text": {}
},
"pluginVersion": "9.4.3",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "${DS_PROMETHEUS}"
},
"editorMode": "code",
"exemplar": true,
"expr": "topk(40, (100 - (windows_logical_disk_free_bytes{volume!~\"HarddiskVolume.*\",} / windows_logical_disk_size_bytes)*100 or 100 - ((node_filesystem_avail_bytes{device!~'rootfs',mountpoint!~'/mnt|/media'} * 100) / node_filesystem_size_bytes{device!~'rootfs'}) ) )",
"format": "time_series",
"instant": true,
"interval": "",
"intervalFactor": 1,
"legendFormat": "{{desc}} {{instance}} {{volume}} {{mountpoint}} Space utilization",
"refId": "A"
}
],
"title": "磁盘空间利用率",
"transformations": [
{
"id": "filterFieldsByName",
"options": {
"include": {}
}
}
],
"type": "bargauge"
}
],
"refresh": "1m",
"revision": 1,
"schemaVersion": 38,
"style": "dark",
"tags": [
"prometheus"
],
"templating": {
"list": []
},
"time": {
"from": "now-6h",
"to": "now"
},
"timepicker": {},
"timezone": "",
"title": "Disk Utilization",
"uid": "_Yj7Asqnz",
"version": 5,
"weekStart": "",
"gnetId": 18328
} | 2023-03-21 02:30:35 UTC | 2023-04-10 07:52:19 UTC | 0 | 0 |
18,856 | 1 | 868,503 | 28,918 | 0 | azure-service-bus | Azure Service Bus | https://github.com/yesoreyeram/grafana-azure-dashboards | 2023-06-01 00:00:13 UTC | 2023-06-01 00:00:35 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 28,918 | 1 | 18,856 | 1 | 0 | https://github.com/yesoreyeram/grafana-azure-dashboards | {
"__inputs": [],
"__requires": [
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "6.1.6"
},
{
"type": "datasource",
"id": "grafana-azure-monitor-datasource",
"name": "Azure Monitor",
"version": "0.3.0"
},
{
"type": "panel",
"id": "graph",
"name": "Graph",
"version": ""
},
{
"type": "panel",
"id": "singlestat",
"name": "Singlestat",
"version": ""
}
],
"_author": "Sriramajeyam Sugumaran",
"annotations": {
"list": [
{
"builtIn": 1,
"datasource": "-- Grafana --",
"enable": true,
"hide": true,
"iconColor": "rgba(0, 211, 255, 1)",
"name": "Annotations & Alerts",
"type": "dashboard"
}
]
},
"editable": true,
"gnetId": 18856,
"graphTooltip": 0,
"id": null,
"links": [
{
"icon": "doc",
"tags": [],
"targetBlank": true,
"title": "Metrics Definitions",
"tooltip": "",
"type": "link",
"url": "https://docs.microsoft.com/en-in/azure/azure-monitor/platform/metrics-supported#microsoftservicebusnamespaces"
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} | 2022-12-01 20:28:01 UTC | null | 0 | 0 |
17,541 | 1 | 755,991 | 26,932 | 0 | corsair-rmi-hxi-psu | Corsair RMi-HXi PSU for Unraid | A modest dashboard to display metrics for Corsair RMi and HXi-series PSU. | 2022-12-05 20:12:53 UTC | 2022-12-06 13:10:34 UTC | 0 | Tested with Unraid and docker Image Grafana-Unraid-Stack. Need the plugin Corsair PSU Statistics. Activate SNMP on Unraid
Its a Fork from ID: 12101 By: ivangraf | 0 | 0 | Telegraf | null | 0 | 0 | 26,932 | 1 | 17,541 | 1 | 0 | A modest dashboard to display metrics for Corsair RMi and HXi-series PSU. | {
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} | 2022-12-05 20:12:53 UTC | 2022-12-05 20:31:39 UTC | 0 | 0 |
17,728 | 1 | 568,677 | 27,199 | 0 | opentelemetry-collector-0-68-0-v20221229 | OpenTelemetry Collector 0.68.0 v20221229 | Provides information about the status of the OpenTelemetry Collector Contrib | 2022-12-29 09:14:25 UTC | 2022-12-29 09:18:42 UTC | 0 | OpenTelemetry Collector version: 0.68.0 with usage of processors: memory_limiter, batch
In addition: designed for Logs, Metrics and Traces
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} | 2023-01-24 22:44:46 UTC | 2023-01-24 22:47:30 UTC | 0 | 0 |
18,116 | 1 | 796,023 | 27,820 | 0 | kubernetes-apps-logs | Kubernetes / Apps / Logs | test | 2023-02-16 05:43:33 UTC | 2023-02-16 05:43:49 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 27,820 | 1 | 18,116 | 1 | 0 | null | {
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18,122 | 1 | 450,958 | 27,826 | 0 | greenplum | Greenplum集群监控优化版 | Greenplum集群监控优化版 | 2023-02-17 04:13:19 UTC | 2023-02-17 04:20:26 UTC | 0 | 基于https://grafana.com/grafana/dashboards/13822修改,我的官网:www.xmmup.com | 81,702 | 81,703 | null | null | 0 | 0 | 27,826 | 1 | 18,122 | 1 | 0 | Greenplum集群监控状态图 | {
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} | 2023-02-17 04:13:19 UTC | 2023-02-17 04:14:40 UTC | 0 | 0 |
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} | 2023-04-02 02:21:07 UTC | null | 0 | 0 |
18,618 | 1 | 530,148 | 28,541 | 0 | prometheus-2-22 | Prometheus 2.22 | Overview of metrics from Prometheus 2.0.
Useful for using prometheus to monitor your prometheus. | 2023-04-27 13:46:35 UTC | 2023-04-27 13:49:13 UTC | 0 | null | 83,769 | 83,770 | collectd | null | 0 | 0 | 28,541 | 1 | 18,618 | 1 | 0 | Overview of metrics from Prometheus 2.0.
Useful for using prometheus to monitor your prometheus.
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"datasource": {
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"description": "The time required for Prometheus to scrape the sample of the target",
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"x": 0,
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"id": 57,
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"refId": "A"
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"y": 17
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{
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"refId": "B",
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],
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"value_type": "individual"
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18,522 | 1 | 836,532 | 28,406 | 0 | loki-stack-monitoring-promtail-loki | Loki stack monitoring (Promtail, Loki) | This dashboard can be used to detect issues on the Loki stack, when deployed in Kubernetes. Shows: some error metrics published by Promtail/Loki. Error and warning logs emitted by Promtail/Loki. Memory and CPU usage of Promtail/Loki compared against the Kubernetes memory/cpu limits and requests. | 2023-04-14 10:32:28 UTC | 2023-04-14 10:51:43 UTC | 0 | null | 0 | 0 | Other | null | 0 | 0 | 28,406 | 1 | 18,522 | 1 | 0 | This dashboard can be used to detect issues on the Loki stack, when deployed in Kubernetes. Shows: some error metrics published by Promtail/Loki. Error and warning logs emitted by Promtail/Loki. Memory and CPU usage of Promtail/Loki compared against the Kubernetes memory/cpu limits and requests. | {
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} | 2022-12-05 14:08:24 UTC | 2022-12-05 14:09:11 UTC | 0 | 0 |
17,657 | 1 | 763,862 | 27,118 | 0 | badbread-vital-dash | badbread Vital Dash | A copy of my "Vital Dashboard" aka "Home dash".
PFblocker, worldping, minecraft, vsphere, Smart things (temperature sensors), apcupsd, speedtest, nas growth over time, bandwidth use over time (great for quota's), uptime monitor, unifi wifi score and users, more
I'm sure it could use some polishing up, very sure of that, but enjoy none the less. | 2022-12-19 22:01:32 UTC | 2022-12-19 22:01:47 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 27,118 | 1 | 17,657 | 1 | 0 | A copy of my "Vital Dashboard" aka "Home dash".
PFblocker, worldping, minecraft, vsphere, Smart things (temperature sensors), apcupsd, speedtest, nas growth over time, bandwidth use over time (great for quota's), uptime monitor, unifi wifi score and users, more
I'm sure it could use some polishing up, very sure of that, but enjoy none the less. | {
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} | 2022-12-19 22:01:32 UTC | 2022-12-19 22:01:47 UTC | 0 | 0 |
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18,532 | 1 | 837,227 | 28,417 | 0 | pfsense-system-dashboard | pfSense System Dashboard | See the github link for the most up-to-date dashboard.
A Grafana dashboard built to monitor pfSense that relies on influx and Telegraf. All artifacts and instructions are maintained in github at https://github.com/VictorRobellini/pfSense-Dashboard | 2023-04-15 18:12:40 UTC | 2023-04-15 18:33:23 UTC | 0 | null | 0 | 0 | collectd | null | 0 | 0 | 28,417 | 1 | 18,532 | 1 | 0 | See the github link for the most up-to-date dashboard.
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} | 2023-04-15 18:12:40 UTC | 2023-04-15 18:33:23 UTC | 0 | 0 |
17,523 | 1 | 581,821 | 26,908 | 0 | prometheus-2-0-overview | Prometheus 2.0 Overview | Get started faster with Grafana Cloud then easily build these dashboards. https://grafana.com/products/cloud/
Overview of metrics from Prometheus 2.0.
Useful for using prometheus to monitor your prometheus.
Revisions welcome! | 2022-12-01 11:28:59 UTC | 2022-12-01 11:34:28 UTC | 0 | null | 0 | 0 | Other | null | 0 | 0 | 26,908 | 1 | 17,523 | 1 | 0 | Get started faster with Grafana Cloud then easily build these dashboards. https://grafana.com/products/cloud/
Overview of metrics from Prometheus 2.0.
Useful for using prometheus to monitor your prometheus.
Revisions welcome! | {
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} | 2022-12-01 11:28:59 UTC | 2022-12-01 11:34:28 UTC | 0 | 0 |
18,829 | 1 | 316,156 | 28,871 | 0 | azure-loadbalancer | Azure Loadbalancer | Use Azure Loadbalancer Monitor | 2023-05-24 17:23:46 UTC | 2023-05-24 17:26:18 UTC | 0 | Loadbalancer Monitor | 84,655 | 84,656 | null | null | 0 | 0 | 28,871 | 1 | 18,829 | 1 | 0 | Use Azure Monitor to view relevante information of Database | {
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4,824 | 1 | 37,330 | 6,420 | 512 | apache-request-latency | Apache Request Latency | Displays Request Timing for requests made to Apache Hosted services for OpenStack (Gnocchi, Keystone Admin, Keystone Main, Nova placement api) | 2018-02-23 18:04:33 UTC | 2018-02-23 18:08:53 UTC | 0 | null | 0 | 0 | collectd | null | 0 | 0 | 6,420 | 1 | 4,824 | 1 | 512 | null | {
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} | 2018-02-23 18:04:33 UTC | 2018-02-23 18:08:54 UTC | 0 | 0 |
1,004 | 1 | 37,059 | 1,454 | 3,584 | elasticsearch | elasticsearch-logstash | Browse, analyze logs in Elasticsearch
status_codes, pie-chart, top 10 clientip, line-chart and etc... | 2016-11-30 03:36:48 UTC | 2016-11-30 03:48:02 UTC | 0 | null | 5,672 | 5,675 | null | null | 0 | 0 | 1,454 | 1 | 1,004 | 1 | 3,584 | null | {
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} | 2016-11-30 03:36:48 UTC | 2016-11-30 03:48:02 UTC | 0 | 0 |
17,161 | 1 | 644,385 | 26,376 | 1 | k8s-logs | K8s Logs | This dashboard shows logs along with log generation rate, error and exception log rate and the amount of log generated with its rate in MB | 2022-10-12 05:06:40 UTC | 2022-10-12 05:14:48 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 26,376 | 1 | 17,161 | 1 | 1 | null | {
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} | 2022-10-12 05:06:40 UTC | 2022-10-12 05:13:27 UTC | 0 | 0 |
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17,013 | 1 | 711,864 | 26,083 | 1 | flask-web-app | Flask Web App Test | Dashboard for official Prometheus Python Client's metrics | 2022-09-19 09:01:06 UTC | 2022-09-19 09:02:55 UTC | 0 | Test | 0 | 0 | null | null | 0 | 0 | 26,083 | 1 | 17,013 | 1 | 1 | Dashboard for official Prometheus Python Client's metrics | {
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16,417 | 1 | 564,263 | 25,015 | 1 | dashboard-makeover-challenge-output | Dashboard Makeover Challenge output | Extreme Dashboard Makeover Workshop | 2022-06-08 19:41:34 UTC | 2022-06-08 19:41:52 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 25,015 | 1 | 16,417 | 1 | 1 | null | {
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} | 2022-10-26 17:36:15 UTC | 2022-10-26 17:36:35 UTC | 0 | 0 |
17,155 | 1 | 721,688 | 26,352 | 1 | k6-load-testing-results | k6 Load Testing Results | A dashboard for visualizing results from the k6.io load testing tool, using the InfluxDB exporter | 2022-10-11 14:42:24 UTC | 2022-10-11 14:42:54 UTC | 0 | null | 0 | 0 | null | null | 0 | 0 | 26,352 | 1 | 17,155 | 1 | 1 | A dashboard for visualizing results from the k6.io load testing tool, using the InfluxDB exporter | {
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} | 2022-10-11 14:42:24 UTC | null | 0 | 0 |
15,079 | 1 | 547,757 | 22,550 | 1 | bm-dashboard | BM dashboard | Battery Manager | 2021-10-05 09:20:07 UTC | 2021-10-05 09:27:39 UTC | 0 | null | 67,418 | 67,419 | null | null | 0 | 0 | 22,550 | 1 | 15,079 | 1 | 1 | null | {
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},
{
"datasource": "${DS_GRAFANACLOUD-RGREGORIC-GRAPHITE}",
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},
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},
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},
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},
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],
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"type": "stat"
},
{
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},
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"targets": [
{
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],
"title": "Output 2",
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}
],
"schemaVersion": 30,
"style": "dark",
"tags": [],
"templating": {
"list": []
},
"time": {
"from": "now-6h",
"to": "now"
},
"timepicker": {
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},
"timezone": "",
"title": "BM dashboard",
"uid": "UlXsbRDnk",
"version": 8,
"description": "Battery Manager"
} | 2021-10-05 09:20:07 UTC | 2021-10-05 09:22:03 UTC | 0 | 0 |