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local g = import 'github.com/grafana/grafonnet/gen/grafonnet-latest/main.libsonnet'; | ||
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{ | ||
stat: { | ||
local stat = g.panel.stat, | ||
local options = stat.options, | ||
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base(title, unit, targets, gridPos): | ||
stat.new(title) | ||
+ stat.datasource.withType('prometheus') | ||
+ stat.datasource.withUid('$Datasource') | ||
+ stat.standardOptions.withUnit(unit) | ||
+ stat.queryOptions.withTargets(targets) | ||
+ stat.gridPos.withX(gridPos.x) | ||
+ stat.gridPos.withY(gridPos.y) | ||
+ stat.gridPos.withH(gridPos.h) | ||
+ stat.gridPos.withW(gridPos.w) | ||
+ options.withJustifyMode("auto") | ||
+ options.withGraphMode("none") | ||
+ options.text.withTitleSize(12) | ||
+ stat.standardOptions.color.withMode('thresholds') | ||
+ options.withColorMode('none'), | ||
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genericStatLegendPanel(title, unit, targets, gridPos): | ||
self.base(title, unit, targets, gridPos) | ||
+ stat.options.reduceOptions.withCalcs([ | ||
'last' | ||
]) | ||
}, | ||
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timeSeries: { | ||
local timeSeries = g.panel.timeSeries, | ||
local custom = timeSeries.fieldConfig.defaults.custom, | ||
local options = timeSeries.options, | ||
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base(title, unit, targets, gridPos): | ||
timeSeries.new(title) | ||
+ timeSeries.queryOptions.withTargets(targets) | ||
+ timeSeries.datasource.withType('prometheus') | ||
+ timeSeries.datasource.withUid('$Datasource') | ||
+ timeSeries.standardOptions.withUnit(unit) | ||
+ timeSeries.gridPos.withX(gridPos.x) | ||
+ timeSeries.gridPos.withY(gridPos.y) | ||
+ timeSeries.gridPos.withH(gridPos.h) | ||
+ timeSeries.gridPos.withW(gridPos.w) | ||
+ custom.withDrawStyle("line") | ||
+ custom.withLineInterpolation("linear") | ||
+ custom.withBarAlignment(0) | ||
+ custom.withLineWidth(1) | ||
+ custom.withFillOpacity(10) | ||
+ custom.withGradientMode("none") | ||
+ custom.withSpanNulls(false) | ||
+ custom.withPointSize(5) | ||
+ custom.withSpanNulls(false) | ||
+ custom.stacking.withMode("none") | ||
+ custom.withShowPoints('never') | ||
+ options.tooltip.withMode('multi') | ||
+ options.tooltip.withSort('desc') | ||
+ options.legend.withShowLegend(true) | ||
+ options.legend.withPlacement('bottom'), | ||
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genericTimeSeriesPanel(title, unit, targets, gridPos): | ||
self.base(title, unit, targets, gridPos) | ||
+ options.legend.withCalcs([]) | ||
+ options.legend.withDisplayMode('table'), | ||
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genericTimeSeriesLegendPanel(title, unit, targets, gridPos): | ||
self.base(title, unit, targets, gridPos) | ||
+ options.legend.withCalcs([ | ||
"mean", | ||
"max" | ||
]) | ||
+ options.legend.withDisplayMode('table'), | ||
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}, | ||
} |
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local g = import 'github.com/grafana/grafonnet/gen/grafonnet-latest/main.libsonnet'; | ||
local variables = import './variables.libsonnet'; | ||
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local generateTimeSeriesQuery(query, legend) = [ | ||
local prometheusQuery = g.query.prometheus; | ||
prometheusQuery.new('$'+variables.Datasource.name, query) | ||
+ prometheusQuery.withFormat('time_series') | ||
+ prometheusQuery.withIntervalFactor(2) | ||
+ prometheusQuery.withLegendFormat(legend), | ||
]; | ||
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{ | ||
currentNodeCount: { | ||
query(): | ||
generateTimeSeriesQuery('sum(kube_node_info{})','Number of nodes') | ||
+ generateTimeSeriesQuery('sum(kube_node_status_condition{status="true"}) by (condition) > 0','Node: {{ condition }}') | ||
}, | ||
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currentNamespaceCount: { | ||
query(): | ||
generateTimeSeriesQuery('sum(kube_namespace_status_phase) by (phase)','{{ phase }}') | ||
}, | ||
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currentPodCount: { | ||
query(): | ||
generateTimeSeriesQuery('sum(kube_pod_status_phase{}) by (phase) > 0','{{ phase}} Pods') | ||
}, | ||
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numberOfNodes: { | ||
query(): | ||
generateTimeSeriesQuery('sum(kube_node_info{})','Number of nodes') | ||
+ generateTimeSeriesQuery('sum(kube_node_status_condition{status="true"}) by (condition) > 0','Node: {{ condition }}') | ||
}, | ||
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namespaceCount: { | ||
query(): | ||
generateTimeSeriesQuery('sum(kube_namespace_status_phase) by (phase) > 0','{{ phase }} namespaces') | ||
}, | ||
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podCount: { | ||
query(): | ||
generateTimeSeriesQuery('sum(kube_pod_status_phase{}) by (phase)','{{phase}} pods') | ||
}, | ||
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secretAndConfigMapCount: { | ||
query(): | ||
generateTimeSeriesQuery('count(kube_secret_info{})','secrets') | ||
+ generateTimeSeriesQuery('count(kube_configmap_info{})','Configmaps') | ||
}, | ||
deployCount: { | ||
query(): | ||
generateTimeSeriesQuery('count(kube_deployment_labels{})','Deployments') | ||
}, | ||
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serviceCount: { | ||
query(): | ||
generateTimeSeriesQuery('count(kube_service_info{})','Services') | ||
}, | ||
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top10ContainerRSS: { | ||
query(): | ||
generateTimeSeriesQuery('topk(10, container_memory_rss{namespace!="",container!="POD",name!=""})','{{ namespace }} - {{ name }}') | ||
}, | ||
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top10ContainerCPU: { | ||
query(): | ||
generateTimeSeriesQuery('topk(10,irate(container_cpu_usage_seconds_total{namespace!="",container!="POD",name!=""}[$interval])*100)','{{ namespace }} - {{ name }}') | ||
}, | ||
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goroutinesCount: { | ||
query(): | ||
generateTimeSeriesQuery('topk(10, sum(go_goroutines{}) by (job,instance))','{{ job }} - {{ instance }}') | ||
}, | ||
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podDistribution: { | ||
query(): | ||
generateTimeSeriesQuery('count(kube_pod_info{}) by (exported_node)','{{ node }}') | ||
}, | ||
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basicCPU: { | ||
query(nodeName): | ||
generateTimeSeriesQuery('sum by (instance, mode)(rate(node_cpu_seconds_total{node=~"' + nodeName + '",job=~".*"}[$interval])) * 100','Busy {{mode}}') | ||
}, | ||
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systemMemory: { | ||
query(nodeName): | ||
generateTimeSeriesQuery('node_memory_Active_bytes{node=~"' + nodeName + '"}','Active') | ||
+ generateTimeSeriesQuery('node_memory_MemTotal_bytes{node=~"' + nodeName + '"}','Total') | ||
+ generateTimeSeriesQuery('node_memory_Cached_bytes{node=~"' + nodeName + '"} + node_memory_Buffers_bytes{node=~"' + nodeName + '"}','Cached + Buffers') | ||
+ generateTimeSeriesQuery('node_memory_MemAvailable_bytes{node=~"' + nodeName + '"}','Available') | ||
}, | ||
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diskThroughput: { | ||
query(nodeName): | ||
generateTimeSeriesQuery('rate(node_disk_read_bytes_total{device=~"$block_device",node=~"' + nodeName + '"}[$interval])','{{ device }} - read') | ||
+ generateTimeSeriesQuery('rate(node_disk_written_bytes_total{device=~"$block_device",node=~"' + nodeName + '"}[$interval])','{{ device }} - write') | ||
}, | ||
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diskIOPS: { | ||
query(nodeName): | ||
generateTimeSeriesQuery('rate(node_disk_reads_completed_total{device=~"$block_device",node=~"' + nodeName + '"}[$interval])','{{ device }} - read') | ||
+ generateTimeSeriesQuery('rate(node_disk_writes_completed_total{device=~"$block_device",node=~"' + nodeName + '"}[$interval])','{{ device }} - write') | ||
}, | ||
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networkUtilization: { | ||
query(nodeName): | ||
generateTimeSeriesQuery('rate(node_network_receive_bytes_total{node=~"' + nodeName + '",device=~"$net_device"}[$interval]) * 8','{{instance}} - {{device}} - RX') | ||
+ generateTimeSeriesQuery('rate(node_network_transmit_bytes_total{node=~"' + nodeName + '",device=~"$net_device"}[$interval]) * 8','{{instance}} - {{device}} - TX') | ||
}, | ||
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networkPackets: { | ||
query(nodeName): | ||
generateTimeSeriesQuery('rate(node_network_receive_packets_total{node=~"' + nodeName + '",device=~"$net_device"}[$interval])','{{instance}} - {{device}} - RX') | ||
+ generateTimeSeriesQuery('rate(node_network_transmit_packets_total{node=~"' + nodeName + '",device=~"$net_device"}[$interval])','{{instance}} - {{device}} - TX') | ||
}, | ||
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networkDrop: { | ||
query(nodeName): | ||
generateTimeSeriesQuery('topk(10, rate(node_network_receive_drop_total{node=~"' + nodeName + '"}[$interval]))','rx-drop-{{ device }}') | ||
+ generateTimeSeriesQuery('topk(10,rate(node_network_transmit_drop_total{node=~"' + nodeName + '"}[$interval]))','tx-drop-{{ device }}') | ||
}, | ||
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conntrackStats: { | ||
query(nodeName): | ||
generateTimeSeriesQuery('node_nf_conntrack_entries{node=~"' + nodeName + '"}','conntrack_entries') | ||
+ generateTimeSeriesQuery('node_nf_conntrack_entries_limit{node=~"' + nodeName + '"}','conntrack_limit') | ||
}, | ||
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top10ContainersCPU: { | ||
query(nodeName): | ||
generateTimeSeriesQuery('topk(10, sum(irate(container_cpu_usage_seconds_total{container!="POD",name!="",instance=~"' + nodeName + '",namespace!="",namespace=~"$namespace"}[$interval])) by (pod,container,namespace,name,service) * 100)','{{ pod }}: {{ container }}') | ||
}, | ||
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top10ContainersRSS: { | ||
query(nodeName): | ||
generateTimeSeriesQuery('topk(10, container_memory_rss{container!="POD",name!="",instance=~"' + nodeName + '",namespace!="",namespace=~"$namespace"})','{{ pod }}: {{ container }}') | ||
} | ||
} |
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local g = import 'github.com/grafana/grafonnet/gen/grafonnet-latest/main.libsonnet'; | ||
local var = g.dashboard.variable; | ||
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{ | ||
Datasource: | ||
var.datasource.new('Datasource','prometheus') | ||
+ var.datasource.withRegex('') | ||
+ var.query.withRefresh(1) | ||
+ var.query.selectionOptions.withIncludeAll(false) | ||
+ var.query.selectionOptions.withMulti(false), | ||
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_worker_node: | ||
var.query.new('_worker_node','label_values(kube_node_labels{}, exported_node)') | ||
+ var.query.generalOptions.withLabel('Worker') | ||
+ var.query.withSort(0) | ||
+ var.query.withRefresh(2) | ||
+ var.query.selectionOptions.withIncludeAll(false) | ||
+ var.query.selectionOptions.withMulti(true), | ||
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namespace: | ||
var.query.new('namespace','label_values(kube_pod_info, exported_namespace)') | ||
+ var.query.generalOptions.withLabel('Namespace') | ||
+ var.query.withSort(0) | ||
+ var.query.withRefresh(2) | ||
+ var.query.selectionOptions.withIncludeAll(true) | ||
+ var.query.selectionOptions.withMulti(false), | ||
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block_device: | ||
var.query.new('block_device','label_values(node_disk_written_bytes_total,device)') | ||
+ var.query.generalOptions.withLabel('Block device') | ||
+ var.query.withSort(0) | ||
+ var.datasource.withRegex('/^(?:(?!dm|rb).)*$/') | ||
+ var.query.withRefresh(2) | ||
+ var.query.selectionOptions.withIncludeAll(true) | ||
+ var.query.selectionOptions.withMulti(true), | ||
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net_device: | ||
var.query.new('net_device','label_values(node_network_receive_bytes_total,device)') | ||
+ var.query.generalOptions.withLabel('Network device') | ||
+ var.query.withSort(0) | ||
+ var.datasource.withRegex('/^((br|en|et).*)$/') | ||
+ var.query.withRefresh(2) | ||
+ var.query.selectionOptions.withIncludeAll(true) | ||
+ var.query.selectionOptions.withMulti(true), | ||
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interval: | ||
var.interval.new('interval',['2m','3m','4m','5m']) | ||
+ var.query.withDatasourceFromVariable(self.Datasource) | ||
+ var.interval.generalOptions.withLabel('interval') | ||
+ var.interval.withAutoOption(count=30, minInterval='10s') | ||
+ var.query.withRefresh(2) | ||
+ var.query.selectionOptions.withMulti(false) | ||
+ var.query.selectionOptions.withIncludeAll(false) | ||
} |
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local panels = import '../../assets/k8s-perf/panels.libsonnet'; | ||
local queries = import '../../assets/k8s-perf/queries.libsonnet'; | ||
local variables = import '../../assets/k8s-perf/variables.libsonnet'; | ||
local g = import 'github.com/grafana/grafonnet/gen/grafonnet-latest/main.libsonnet'; | ||
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g.dashboard.new('k8s Performance') | ||
+ g.dashboard.time.withFrom('now-1h') | ||
+ g.dashboard.time.withTo('now') | ||
+ g.dashboard.withTimezone('utc') | ||
+ g.dashboard.timepicker.withRefreshIntervals(['5s', '10s', '30s', '1m', '5m', '15m', '30m', '1h', '2h', '1d']) | ||
+ g.dashboard.timepicker.withTimeOptions(['5m', '15m', '1h', '6h', '12h', '24h', '2d', '7d', '30d']) | ||
+ g.dashboard.withRefresh('30s') | ||
+ g.dashboard.withEditable(false) | ||
+ g.dashboard.graphTooltip.withSharedCrosshair() | ||
+ g.dashboard.withVariables([ | ||
variables.Datasource, | ||
variables._worker_node, | ||
variables.namespace, | ||
variables.block_device, | ||
variables.net_device, | ||
variables.interval, | ||
]) | ||
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+ g.dashboard.withPanels([ | ||
g.panel.row.new('Cluster Details') | ||
+ g.panel.row.withCollapsed(true) | ||
+ g.panel.row.withGridPos({ x: 0, y: 14, w: 24, h: 1 }) | ||
+ g.panel.row.withPanels([ | ||
panels.stat.genericStatLegendPanel('Current Node Count', 'none', queries.currentNodeCount.query(), { x: 0, y: 4, w: 8, h: 3 }), | ||
panels.stat.genericStatLegendPanel('Current namespace Count', 'none', queries.currentNamespaceCount.query(), { x: 8, y: 4, w: 8, h: 3 }), | ||
panels.stat.genericStatLegendPanel('Current Pod Count', 'none', queries.currentPodCount.query(), { x: 16, y: 4, w: 8, h: 3 }), | ||
panels.timeSeries.genericTimeSeriesPanel('Number of nodes', 'none', queries.numberOfNodes.query(), { x: 0, y: 12, w: 8, h: 8 }), | ||
panels.timeSeries.genericTimeSeriesPanel('Namespace count', 'none', queries.namespaceCount.query(), { x: 8, y: 12, w: 8, h: 8 }), | ||
panels.timeSeries.genericTimeSeriesPanel('Pod count', 'none', queries.podCount.query(), { x: 16, y: 12, w: 8, h: 8 }), | ||
panels.timeSeries.genericTimeSeriesPanel('Secret & configmap count', 'none', queries.secretAndConfigMapCount.query(), { x: 0, y: 20, w: 8, h: 8 }), | ||
panels.timeSeries.genericTimeSeriesPanel('Deployment count', 'none', queries.deployCount.query(), { x: 8, y: 20, w: 8, h: 8 }), | ||
panels.timeSeries.genericTimeSeriesPanel('Services count', 'none', queries.serviceCount.query(), { x: 16, y: 20, w: 8, h: 8 }), | ||
panels.timeSeries.genericTimeSeriesLegendPanel('Top 10 container RSS', 'bytes', queries.top10ContainerRSS.query(), { x: 0, y: 28, w: 24, h: 8 }), | ||
panels.timeSeries.genericTimeSeriesLegendPanel('Top 10 container CPU', 'percent', queries.top10ContainerCPU.query(), { x: 0, y: 36, w: 12, h: 8 }), | ||
panels.timeSeries.genericTimeSeriesPanel('Goroutines count', 'none', queries.goroutinesCount.query(), { x: 12, y: 36, w: 12, h: 8 }), | ||
panels.timeSeries.genericTimeSeriesLegendPanel('Pod Distribution', 'none', queries.podDistribution.query(), { x: 0, y: 44, w: 24, h: 8 }), | ||
]), | ||
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g.panel.row.new('Node: $_worker_node') | ||
+ g.panel.row.withCollapsed(true) | ||
+ g.panel.row.withGridPos({ x: 0, y: 14, w: 24, h: 1 }) | ||
+ g.panel.row.withRepeat('_worker_node') | ||
+ g.panel.row.withPanels([ | ||
panels.timeSeries.genericTimeSeriesLegendPanel('CPU Basic: $_worker_node ', 'percent', queries.basicCPU.query('$_worker_node'), { x: 0, y: 0, w: 12, h: 8 }), | ||
panels.timeSeries.genericTimeSeriesLegendPanel('System Memory: $_worker_node ', 'bytes', queries.systemMemory.query('$_worker_node'), { x: 12, y: 0, w: 12, h: 8 }), | ||
panels.timeSeries.genericTimeSeriesLegendPanel('Disk throughput: $_worker_node ', 'Bps', queries.diskThroughput.query('$_worker_node'), { x: 0, y: 8, w: 12, h: 8 }), | ||
panels.timeSeries.genericTimeSeriesLegendPanel('Disk IOPS: $_worker_node', 'iops', queries.diskIOPS.query('$_worker_node'), { x: 12, y: 8, w: 12, h: 8 }), | ||
panels.timeSeries.genericTimeSeriesLegendPanel('Network Utilization: $_worker_node', 'bps', queries.networkUtilization.query('$_worker_node'), { x: 0, y: 16, w: 12, h: 8 }), | ||
panels.timeSeries.genericTimeSeriesLegendPanel('Network Packets: $_worker_node', 'pps', queries.networkPackets.query('$_worker_node'), { x: 12, y: 16, w: 12, h: 8 }), | ||
panels.timeSeries.genericTimeSeriesLegendPanel('Network packets drop: $_worker_node', 'pps', queries.networkDrop.query('$_worker_node'), { x: 0, y: 24, w: 12, h: 8 }), | ||
panels.timeSeries.genericTimeSeriesLegendPanel('Conntrack stats: $_worker_node', '', queries.conntrackStats.query('$_worker_node'), { x: 12, y: 24, w: 12, h: 8 }), | ||
panels.timeSeries.genericTimeSeriesLegendPanel('Top 10 container CPU: $_worker_node', 'percent', queries.top10ContainersCPU.query('$_worker_node'), { x: 0, y: 32, w: 12, h: 8 }), | ||
panels.timeSeries.genericTimeSeriesLegendPanel('Top 10 container RSS: $_worker_node', 'bytes', queries.top10ContainersRSS.query(' $_worker_node'), { x: 12, y: 32, w: 12, h: 8 }), | ||
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]), | ||
]) |