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256 lines
8.4 KiB
256 lines
8.4 KiB
local grafana = import 'github.com/grafana/grafonnet-lib/grafonnet/grafana.libsonnet';
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local dashboard = grafana.dashboard;
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local row = grafana.row;
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local prometheus = grafana.prometheus;
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local template = grafana.template;
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local graphPanel = grafana.graphPanel;
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local promgrafonnet = import 'github.com/kubernetes-monitoring/kubernetes-mixin/lib/promgrafonnet/promgrafonnet.libsonnet';
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local gauge = promgrafonnet.gauge;
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{
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grafanaDashboards+:: {
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'nodes.json':
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local idleCPU =
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graphPanel.new(
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'CPU Usage',
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datasource='$datasource',
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span=6,
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format='percentunit',
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max=1,
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min=0,
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stack=true,
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)
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.addTarget(prometheus.target(
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|||
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(
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(1 - rate(node_cpu_seconds_total{%(nodeExporterSelector)s, mode="idle", instance="$instance"}[$__interval]))
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/ ignoring(cpu) group_left
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count without (cpu)( node_cpu_seconds_total{%(nodeExporterSelector)s, mode="idle", instance="$instance"})
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)
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||| % $._config,
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legendFormat='{{cpu}}',
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intervalFactor=5,
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interval='1m',
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));
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local systemLoad =
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graphPanel.new(
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'Load Average',
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datasource='$datasource',
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span=6,
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format='short',
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min=0,
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fill=0,
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)
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.addTarget(prometheus.target('node_load1{%(nodeExporterSelector)s, instance="$instance"}' % $._config, legendFormat='1m load average'))
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.addTarget(prometheus.target('node_load5{%(nodeExporterSelector)s, instance="$instance"}' % $._config, legendFormat='5m load average'))
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.addTarget(prometheus.target('node_load15{%(nodeExporterSelector)s, instance="$instance"}' % $._config, legendFormat='15m load average'))
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.addTarget(prometheus.target('count(node_cpu_seconds_total{%(nodeExporterSelector)s, instance="$instance", mode="idle"})' % $._config, legendFormat='logical cores'));
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local memoryGraph =
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graphPanel.new(
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'Memory Usage',
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datasource='$datasource',
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span=9,
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format='bytes',
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stack=true,
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min=0,
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)
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.addTarget(prometheus.target(
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|||
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(
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node_memory_MemTotal_bytes{%(nodeExporterSelector)s, instance="$instance"}
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-
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node_memory_MemFree_bytes{%(nodeExporterSelector)s, instance="$instance"}
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-
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node_memory_Buffers_bytes{%(nodeExporterSelector)s, instance="$instance"}
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-
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node_memory_Cached_bytes{%(nodeExporterSelector)s, instance="$instance"}
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)
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||| % $._config, legendFormat='memory used'
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))
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.addTarget(prometheus.target('node_memory_Buffers_bytes{%(nodeExporterSelector)s, instance="$instance"}' % $._config, legendFormat='memory buffers'))
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.addTarget(prometheus.target('node_memory_Cached_bytes{%(nodeExporterSelector)s, instance="$instance"}' % $._config, legendFormat='memory cached'))
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.addTarget(prometheus.target('node_memory_MemFree_bytes{%(nodeExporterSelector)s, instance="$instance"}' % $._config, legendFormat='memory free'));
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// TODO: It would be nicer to have a gauge that gets a 0-1 range and displays it as a percentage 0%-100%.
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// This needs to be added upstream in the promgrafonnet library and then changed here.
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// NOTE: avg() is used to circumvent a label change caused by a node_exporter rollout.
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local memoryGauge = gauge.new(
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'Memory Usage',
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|||
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100 -
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(
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avg(node_memory_MemAvailable_bytes{%(nodeExporterSelector)s, instance="$instance"})
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/
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avg(node_memory_MemTotal_bytes{%(nodeExporterSelector)s, instance="$instance"})
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* 100
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)
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||| % $._config,
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).withLowerBeingBetter();
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local diskIO =
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graphPanel.new(
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'Disk I/O',
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datasource='$datasource',
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span=6,
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min=0,
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fill=0,
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)
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// TODO: Does it make sense to have those three in the same panel?
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.addTarget(prometheus.target(
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'rate(node_disk_read_bytes_total{%(nodeExporterSelector)s, instance="$instance", %(diskDeviceSelector)s}[$__interval])' % $._config,
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legendFormat='{{device}} read',
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interval='1m',
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))
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.addTarget(prometheus.target(
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'rate(node_disk_written_bytes_total{%(nodeExporterSelector)s, instance="$instance", %(diskDeviceSelector)s}[$__interval])' % $._config,
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legendFormat='{{device}} written',
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interval='1m',
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))
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.addTarget(prometheus.target(
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'rate(node_disk_io_time_seconds_total{%(nodeExporterSelector)s, instance="$instance", %(diskDeviceSelector)s}[$__interval])' % $._config,
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legendFormat='{{device}} io time',
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interval='1m',
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)) +
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{
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seriesOverrides: [
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{
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alias: '/ read| written/',
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yaxis: 1,
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},
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{
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alias: '/ io time/',
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yaxis: 2,
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},
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],
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yaxes: [
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self.yaxe(format='bytes'),
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self.yaxe(format='s'),
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],
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};
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// TODO: Somehow partition this by device while excluding read-only devices.
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local diskSpaceUsage =
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graphPanel.new(
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'Disk Space Usage',
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datasource='$datasource',
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span=6,
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format='bytes',
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min=0,
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fill=1,
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stack=true,
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)
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.addTarget(prometheus.target(
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|||
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sum(
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max by (device) (
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node_filesystem_size_bytes{%(nodeExporterSelector)s, instance="$instance", %(fsSelector)s}
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-
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node_filesystem_avail_bytes{%(nodeExporterSelector)s, instance="$instance", %(fsSelector)s}
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)
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)
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||| % $._config,
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legendFormat='used',
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))
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.addTarget(prometheus.target(
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|||
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sum(
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max by (device) (
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node_filesystem_avail_bytes{%(nodeExporterSelector)s, instance="$instance", %(fsSelector)s}
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)
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)
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||| % $._config,
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legendFormat='available',
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)) +
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{
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seriesOverrides: [
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{
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alias: 'used',
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color: '#E0B400',
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},
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{
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alias: 'available',
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color: '#73BF69',
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},
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],
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};
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local networkReceived =
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graphPanel.new(
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'Network Received',
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datasource='$datasource',
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span=6,
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format='bytes',
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min=0,
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fill=0,
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)
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.addTarget(prometheus.target(
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'rate(node_network_receive_bytes_total{%(nodeExporterSelector)s, instance="$instance", device!="lo"}[$__interval])' % $._config,
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legendFormat='{{device}}',
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interval='1m',
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));
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local networkTransmitted =
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graphPanel.new(
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'Network Transmitted',
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datasource='$datasource',
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span=6,
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format='bytes',
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min=0,
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fill=0,
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)
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.addTarget(prometheus.target(
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'rate(node_network_transmit_bytes_total{%(nodeExporterSelector)s, instance="$instance", device!="lo"}[$__interval])' % $._config,
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legendFormat='{{device}}',
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interval='1m',
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));
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dashboard.new('Nodes', time_from='now-1h')
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.addTemplate(
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{
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current: {
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text: 'Prometheus',
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value: 'Prometheus',
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},
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hide: 0,
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label: null,
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name: 'datasource',
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options: [],
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query: 'prometheus',
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refresh: 1,
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regex: '',
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type: 'datasource',
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},
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)
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.addTemplate(
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template.new(
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'instance',
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'$datasource',
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'label_values(node_exporter_build_info{%(nodeExporterSelector)s}, instance)' % $._config,
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refresh='time',
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)
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)
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.addRow(
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row.new()
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.addPanel(idleCPU)
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.addPanel(systemLoad)
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)
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.addRow(
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row.new()
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.addPanel(memoryGraph)
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.addPanel(memoryGauge)
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)
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.addRow(
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row.new()
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.addPanel(diskIO)
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.addPanel(diskSpaceUsage)
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)
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.addRow(
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row.new()
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.addPanel(networkReceived)
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.addPanel(networkTransmitted)
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),
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},
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}
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