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Add missing cgroup memory panels ... #139

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merged 4 commits into from
Dec 13, 2024
Merged

Add missing cgroup memory panels ... #139

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c315d67
Add missing cgroup memory panels ...
afcollins Nov 8, 2024
0d78160
fs panel name
afcollins Dec 4, 2024
c5dfb96
Merge branch 'master' into cgroupMemory
afcollins Dec 10, 2024
c841e02
Remove comment
afcollins Dec 10, 2024
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12 changes: 12 additions & 0 deletions assets/ocp-performance/panels.libsonnet
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Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,8 @@ local g = import 'github.com/grafana/grafonnet/gen/grafonnet-latest/main.libsonn
local fieldOverride = g.panel.timeSeries.fieldOverride,
local custom = timeSeries.fieldConfig.defaults.custom,
local options = timeSeries.options,
local standardOptions = timeSeries.standardOptions,
local byRegexp = timeSeries.standardOptions.override.byRegexp,

generic(title, unit, targets, gridPos):
timeSeries.new(title)
Expand Down Expand Up @@ -45,6 +47,16 @@ local g = import 'github.com/grafana/grafonnet/gen/grafonnet-latest/main.libsonn
+ options.legend.withSortBy('Max')
+ options.legend.withSortDesc(true)
+ options.legend.withPlacement('bottom'),

genericLegendCounterSumRightHand(title, unit, targets, gridPos):
self.genericLegendCounter(title, unit, targets, gridPos)
+ options.legend.withDisplayMode('table')
+ options.legend.withSortBy('Max')
+ standardOptions.withOverrides([
byRegexp.new('sum')
+ byRegexp.withProperty('custom.axisPlacement', 'right')
+ byRegexp.withProperty('custom.axisLabel', 'sum'),
]),
},
stat: {
local stat = g.panel.stat,
Expand Down
47 changes: 38 additions & 9 deletions assets/ocp-performance/queries.libsonnet
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Original file line number Diff line number Diff line change
Expand Up @@ -37,13 +37,23 @@ local generateTimeSeriesQuery(query, legend) = [
query():
generateTimeSeriesQuery('sum by (id) (( rate(container_cpu_usage_seconds_total{ job=~".*", id =~"/system.slice|/system.slice/kubelet.service|/system.slice/ovs-vswitchd.service|/system.slice/crio.service|/system.slice/systemd-journald.service|/system.slice/ovsdb-server.service|/system.slice/systemd-udevd.service|/kubepods.slice"}[$interval])) * 100 * on (node) group_left kube_node_role{ role = "control-plane" } )', '{{instance}}'),
},
workersCGroupMemoryRSS: {
query():
generateTimeSeriesQuery('sum by (id) ( container_memory_rss{ job=~".*", id =~"/system.slice|/system.slice/kubelet.service|/system.slice/ovs-vswitchd.service|/system.slice/crio.service|/system.slice/systemd-journald.service|/system.slice/ovsdb-server.service|/system.slice/systemd-udevd.service|/kubepods.slice"} * on (node) group_left kube_node_role{ role = "worker" } )', '{{instance}}'),
},
controlPlaneCGroupMemoryRSS: {
query():
generateTimeSeriesQuery('sum by (id) ( container_memory_rss{ job=~".*", id =~"/system.slice|/system.slice/kubelet.service|/system.slice/ovs-vswitchd.service|/system.slice/crio.service|/system.slice/systemd-journald.service|/system.slice/ovsdb-server.service|/system.slice/systemd-udevd.service|/kubepods.slice"} * on (node) group_left kube_node_role{ role = "control-plane" } )', '{{instance}}'),
},
workersMemoryAvailable: {
query():
generateTimeSeriesQuery('node_memory_MemAvailable_bytes * on (instance) group_left label_replace( kube_node_role{ role = "worker"} , "instance" , "$1" , "node" ,"(.*)")', '{{instance}}'),
generateTimeSeriesQuery('node_memory_MemAvailable_bytes * on (instance) group_left label_replace( kube_node_role{ role = "worker"} , "instance" , "$1" , "node" ,"(.*)")', '{{instance}}') +
generateTimeSeriesQuery('sum( node_memory_MemAvailable_bytes * on (instance) group_left label_replace( kube_node_role{ role = "worker"} , "instance" , "$1" , "node" ,"(.*)") )', 'sum'),
},
controlPlaneMemoryAvailable: {
query():
generateTimeSeriesQuery('node_memory_MemAvailable_bytes * on (instance) group_left label_replace( kube_node_role{ role = "control-plane"} , "instance" , "$1" , "node" ,"(.*)")', '{{instance}}'),
generateTimeSeriesQuery('node_memory_MemAvailable_bytes * on (instance) group_left label_replace( kube_node_role{ role = "control-plane"} , "instance" , "$1" , "node" ,"(.*)")', '{{instance}}') +
generateTimeSeriesQuery('sum( node_memory_MemAvailable_bytes * on (instance) group_left label_replace( kube_node_role{ role = "control-plane"} , "instance" , "$1" , "node" ,"(.*)") )', 'sum'),
},
workersContainerThreads: {
query():
Expand Down Expand Up @@ -114,9 +124,23 @@ local generateTimeSeriesQuery(query, legend) = [
query(nodeName):
generateTimeSeriesQuery('topk(10, container_memory_rss{container!="POD",name!="",node=~"' + nodeName + '",namespace!="",namespace=~"$namespace"})', '{{ pod }}: {{ container }}'),
},
containerWriteBytes: {
nodeCGroupCPU: {
query(nodeName):
generateTimeSeriesQuery('sum by (id) ( rate(container_cpu_usage_seconds_total{ job=~".*", id =~"/system.slice|/system.slice/kubelet.service|/system.slice/ovs-vswitchd.service|/system.slice/crio.service|/system.slice/systemd-journald.service|/system.slice/ovsdb-server.service|/system.slice/systemd-udevd.service|/kubepods.slice", node=~"' + nodeName + '"}[$interval])) * 100', '{{ id }}'),
},
nodeCGroupRSS: {
query(nodeName):
generateTimeSeriesQuery('sum(rate(container_fs_writes_bytes_total{device!~".+dm.+", node=~"' + nodeName + '", container!=""}[$interval])) by (device, container)', '{{ container }}: {{ device }}'),
generateTimeSeriesQuery('sum by (id) ( container_memory_rss{ job=~".*", id =~"/system.slice|/system.slice/kubelet.service|/system.slice/ovs-vswitchd.service|/system.slice/crio.service|/system.slice/systemd-journald.service|/system.slice/ovsdb-server.service|/system.slice/systemd-udevd.service|/kubepods.slice", node=~"' + nodeName + '"})', '{{ id }}'),
},
containerReadWriteBytesPod: {
query(nodeName):
generateTimeSeriesQuery('sum(rate(container_fs_writes_bytes_total{device!~".+dm.+", node=~"' + nodeName + '", pod!=""}[$interval])) by (device, pod)', '{{ pod }}: {{ device }} - write')
+ generateTimeSeriesQuery('sum(rate(container_fs_reads_bytes_total{device!~".+dm.+", node=~"' + nodeName + '", pod!=""}[$interval])) by (device, pod)', '{{ pod }}: {{ device }} - read'),
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Query labels have since changed, leaving this panel empty. Also, only included writes, so I added reads.

},
containerReadWriteBytesCGroup: {
query(nodeName):
generateTimeSeriesQuery('sum(rate(container_fs_writes_bytes_total{device!~".+dm.+", node=~"' + nodeName + '", id =~"/system.slice/kubelet.service|/system.slice/ovs-vswitchd.service|/system.slice/crio.service|/system.slice/systemd-journald.service|/system.slice/ovsdb-server.service|/system.slice/systemd-udevd.service|/kubepods.slice"}[$interval])) by (device, id)', '{{ id }}: {{ device }} - write')
+ generateTimeSeriesQuery('sum(rate(container_fs_reads_bytes_total{device!~".+dm.+", node=~"' + nodeName + '", id =~"/system.slice/kubelet.service|/system.slice/ovs-vswitchd.service|/system.slice/crio.service|/system.slice/systemd-journald.service|/system.slice/ovsdb-server.service|/system.slice/systemd-udevd.service|/kubepods.slice"}[$interval])) by (device, id)', '{{ id }}: {{ device }} - read'),
},
stackroxCPU: {
query():
Expand Down Expand Up @@ -186,23 +210,28 @@ local generateTimeSeriesQuery(query, legend) = [
},
kubeletCPU: {
query():
generateTimeSeriesQuery('topk(10,irate(process_cpu_seconds_total{service="kubelet",job="kubelet"}[$interval])*100)', 'kubelet - {{node}}'),
generateTimeSeriesQuery('topk(10,irate(process_cpu_seconds_total{service="kubelet",job="kubelet"}[$interval])*100 * on (node) group_left kube_node_role{ role = "worker" })', 'kubelet - {{node}}'),
},
crioCPU: {
query():
generateTimeSeriesQuery('topk(10,irate(process_cpu_seconds_total{service="kubelet",job="crio"}[$interval])*100)', 'crio - {{node}}'),
generateTimeSeriesQuery('topk(10,irate(process_cpu_seconds_total{service="kubelet",job="crio"}[$interval])*100 * on (node) group_left kube_node_role{ role = "worker" })', 'crio - {{node}}'),
},
kubeletMemory: {
query():
generateTimeSeriesQuery('topk(10,process_resident_memory_bytes{service="kubelet",job="kubelet"})', 'kubelet - {{node}}'),
generateTimeSeriesQuery('topk(10,process_resident_memory_bytes{service="kubelet",job="kubelet"} * on (node) group_left kube_node_role{ role = "worker" })', 'kubelet - {{node}}'),
},
crioMemory: {
query():
generateTimeSeriesQuery('topk(10,process_resident_memory_bytes{service="kubelet",job="crio"})', 'crio - {{node}}'),
generateTimeSeriesQuery('topk(10,process_resident_memory_bytes{service="kubelet",job="crio"} * on (node) group_left kube_node_role{ role = "worker" })', 'crio - {{node}}'),
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We weren't filtering on workers, so control plane nodes would show up if workers < 10

},
crioINodes: {
query():
generateTimeSeriesQuery('(1 - node_filesystem_files_free{fstype!="",mountpoint="/run"} / node_filesystem_files{fstype!="",mountpoint="/run"}) * 100', '/var/run - {{instance}}'),
generateTimeSeriesQuery('(1 - node_filesystem_files_free{fstype!="",mountpoint="/run"} / node_filesystem_files{fstype!="",mountpoint="/run"}) * 100', '{{instance}}'),
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/var/run wasn't in the query and also redundant in the label

},
crioINodesCount: {
query():
generateTimeSeriesQuery('node_filesystem_files{fstype!="",mountpoint="/run"} - node_filesystem_files_free{fstype!="",mountpoint="/run"}', '{{instance}}')
+ generateTimeSeriesQuery('sum(node_filesystem_files{fstype!="",mountpoint="/run"} - node_filesystem_files_free{fstype!="",mountpoint="/run"})', 'sum'),
},
currentNodeCount: {
query():
Expand Down
2 changes: 1 addition & 1 deletion assets/ocp-performance/variables.libsonnet
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Expand Up @@ -22,7 +22,7 @@ local var = g.dashboard.variable;
+ var.query.withDatasourceFromVariable(self.datasource)
+ var.query.queryTypes.withLabelValues(
'node',
'kube_node_role{role=~"work.*"}',
'kube_node_role{role=~"worker"}', // Do we want to include the workload node for some reason? WHy is it a regexp?
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pulled in workload node if there was one, which we don't need metrics for and was confusing.

)
+ var.query.withRefresh(2)
+ var.query.selectionOptions.withMulti()
Expand Down
46 changes: 27 additions & 19 deletions templates/General/ocp-performance.jsonnet
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Expand Up @@ -34,14 +34,16 @@ g.dashboard.new('Openshift Performance')
panels.timeSeries.genericLegend('Control Plane CPU Usage', 'percent', queries.controlPlanesCPU.query(), { x: 12, y: 2, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Workers Load1', 'short', queries.workersLoad1.query(), { x: 0, y: 9, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Control Plane Load1', 'short', queries.controlPlanesLoad1.query(), { x: 12, y: 9, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Workers CGroup CPU Rate', 'short', queries.workersCGroupCpuRate.query(), { x: 0, y: 17, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Control Plane CGroup CPU Rate', 'short', queries.controlPlaneCGroupCpuRate.query(), { x: 12, y: 17, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounter('Workers Memory Available', 'bytes', queries.workersMemoryAvailable.query(), { x: 0, y: 25, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounter('Control Plane Memory Available', 'bytes', queries.controlPlaneMemoryAvailable.query(), { x: 12, y: 25, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounter('Workers Container Threads', 'short', queries.workersContainerThreads.query(), { x: 0, y: 33, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounter('Control Plane Container Threads', 'short', queries.controlPlaneContainerThreads.query(), { x: 12, y: 33, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Workers Disk IOPS', 'short', queries.workersIOPS.query(), { x: 0, y: 41, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Control Plane Disk IOPS', 'short', queries.controlPlaneIOPS.query(), { x: 12, y: 41, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounterSumRightHand('Workers Memory Available', 'bytes', queries.workersMemoryAvailable.query(), { x: 0, y: 17, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounterSumRightHand('Control Plane Memory Available', 'bytes', queries.controlPlaneMemoryAvailable.query(), { x: 12, y: 17, w: 12, h: 8 }),
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Reordered. Changed to SumRightHand, which can be helpful to remove individual worker variances and uses different legend stats. Looks like:
Screenshot 2024-12-04 at 11 57 24 ataglanceMemory

panels.timeSeries.genericLegend('Workers CGroup CPU Rate', 'short', queries.workersCGroupCpuRate.query(), { x: 0, y: 25, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Control Plane CGroup CPU Rate', 'short', queries.controlPlaneCGroupCpuRate.query(), { x: 12, y: 25, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounter('Workers CGroup Memory RSS', 'bytes', queries.workersCGroupMemoryRSS.query(), { x: 0, y: 33, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounter('Control Plane CGroup Memory RSS', 'bytes', queries.controlPlaneCGroupMemoryRSS.query(), { x: 12, y: 33, w: 12, h: 8 }),
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Reordered all be together and added cgroup memory. Looks like:
Screenshot 2024-12-04 at 11 57 24 ataglanceCGroup

panels.timeSeries.genericLegendCounter('Workers Container Threads', 'short', queries.workersContainerThreads.query(), { x: 0, y: 41, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounter('Control Plane Container Threads', 'short', queries.controlPlaneContainerThreads.query(), { x: 12, y: 41, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Workers Disk IOPS', 'short', queries.workersIOPS.query(), { x: 0, y: 49, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Control Plane Disk IOPS', 'short', queries.controlPlaneIOPS.query(), { x: 12, y: 49, w: 12, h: 8 }),
]),
g.panel.row.new('OVN')
+ g.panel.row.withGridPos({ x: 0, y: 0, w: 24, h: 1 })
Expand Down Expand Up @@ -81,9 +83,10 @@ g.dashboard.new('Openshift Performance')
+ g.panel.row.withPanels([
panels.timeSeries.genericLegend('Top 10 Kubelet CPU usage', 'percent', queries.kubeletCPU.query(), { x: 0, y: 3, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Top 10 crio CPU usage', 'percent', queries.crioCPU.query(), { x: 12, y: 3, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Top 10 Kubelet memory usage', 'bytes', queries.kubeletMemory.query(), { x: 0, y: 11, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Top 10 crio memory usage', 'bytes', queries.crioMemory.query(), { x: 12, y: 11, w: 12, h: 8 }),
panels.timeSeries.genericLegend('inodes usage in /var/run', 'percent', queries.crioINodes.query(), { x: 0, y: 19, w: 24, h: 8 }),
panels.timeSeries.genericLegendCounter('Top 10 Kubelet memory usage', 'bytes', queries.kubeletMemory.query(), { x: 0, y: 11, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounter('Top 10 crio memory usage', 'bytes', queries.crioMemory.query(), { x: 12, y: 11, w: 12, h: 8 }),
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genericLegendCounter intended for memory panels

panels.timeSeries.genericLegend('inodes usage in /run', 'percent', queries.crioINodes.query(), { x: 0, y: 19, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounterSumRightHand('inodes count in /run', 'none', queries.crioINodesCount.query(), { x: 12, y: 19, w: 12, h: 8 }),
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reduced size of full-width panel and added raw counter value as sometimes desired over percent usage if usage is low. Example:
Screenshot 2024-12-04 at 12 35 17 inodes

]),
g.panel.row.new('Cluster Details')
+ g.panel.row.withGridPos({ x: 0, y: 0, w: 24, h: 1 })
Expand Down Expand Up @@ -120,32 +123,37 @@ g.dashboard.new('Openshift Performance')
+ g.panel.row.withRepeat('_master_node')
+ g.panel.row.withPanels([
panels.timeSeries.genericLegend('CPU Basic: $_master_node', 'percent', queries.nodeCPU.query('$_master_node'), { x: 0, y: 0, w: 12, h: 8 }),
panels.timeSeries.genericLegend('System Memory: $_master_node', 'bytes', queries.nodeMemory.query('$_master_node'), { x: 12, y: 0, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounter('System Memory: $_master_node', 'bytes', queries.nodeMemory.query('$_master_node'), { x: 12, y: 0, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Disk throughput: $_master_node', 'Bps', queries.diskThroughput.query('$_master_node'), { x: 0, y: 8, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Disk IOPS: $_master_node', 'iops', queries.diskIOPS.query('$_master_node'), { x: 12, y: 8, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Network Utilization: $_master_node', 'bps', queries.networkUtilization.query('$_master_node'), { x: 0, y: 16, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Network Packets: $_master_node', 'pps', queries.networkPackets.query('$_master_node'), { x: 12, y: 16, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Network packets drop: $_master_node', 'pps', queries.networkDrop.query('$_master_node'), { x: 0, y: 24, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Conntrack stats: $_master_node', '', queries.conntrackStats.query('$_master_node'), { x: 12, y: 24, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounter('Conntrack stats: $_master_node', '', queries.conntrackStats.query('$_master_node'), { x: 12, y: 24, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Top 10 container CPU: $_master_node', 'percent', queries.top10ContainerCPU.query('$_master_node'), { x: 0, y: 24, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Top 10 container RSS: $_master_node', 'bytes', queries.top10ContainerRSS.query('$_master_node'), { x: 12, y: 24, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Container fs write rate: $_master_node', 'Bps', queries.containerWriteBytes.query('$_master_node'), { x: 0, y: 32, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounter('Top 10 container RSS: $_master_node', 'bytes', queries.top10ContainerRSS.query('$_master_node'), { x: 12, y: 24, w: 12, h: 8 }),
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genericLegendCounter intended for memory

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genericLegendCounter intended for memory and non-rates (i.e. conntrack)

panels.timeSeries.genericLegend('cgroup CPU: $_master_node', 'percent', queries.nodeCGroupCPU.query('$_master_node'), { x: 0, y: 32, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounter('cgroup RSS: $_master_node', 'bytes', queries.nodeCGroupRSS.query('$_master_node'), { x: 12, y: 32, w: 12, h: 8 }),
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example:
Screenshot 2024-12-04 at 12 22 18 node cgroup cpumem

panels.timeSeries.genericLegend('Pod fs write rate: $_master_node', 'Bps', queries.containerReadWriteBytesPod.query('$_master_node'), { x: 0, y: 32, w: 12, h: 8 }),
panels.timeSeries.genericLegend('cgroup fs write rate: $_master_node', 'Bps', queries.containerReadWriteBytesCGroup.query('$_master_node'), { x: 12, y: 32, w: 12, h: 8 }),
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Break down pod vs top cgroup fs read/write usage. Example:
Screenshot 2024-12-04 at 13 06 48

]),
g.panel.row.new('Worker: $_worker_node')
+ g.panel.row.withGridPos({ x: 0, y: 0, w: 0, h: 8 })
+ g.panel.row.withCollapsed(true)
+ g.panel.row.withRepeat('_worker_node')
+ g.panel.row.withPanels([
panels.timeSeries.genericLegend('CPU Basic: $_worker_node', 'percent', queries.nodeCPU.query('$_worker_node'), { x: 0, y: 0, w: 12, h: 8 }),
panels.timeSeries.genericLegend('System Memory: $_worker_node', 'bytes', queries.nodeMemory.query('$_worker_node'), { x: 12, y: 0, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounter('System Memory: $_worker_node', 'bytes', queries.nodeMemory.query('$_worker_node'), { x: 12, y: 0, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Disk throughput: $_worker_node', 'Bps', queries.diskThroughput.query('$_worker_node'), { x: 0, y: 8, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Disk IOPS: $_worker_node', 'iops', queries.diskIOPS.query('$_worker_node'), { x: 12, y: 8, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Network Utilization: $_worker_node', 'bps', queries.networkUtilization.query('$_worker_node'), { x: 0, y: 16, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Network Packets: $_worker_node', 'pps', queries.networkPackets.query('$_worker_node'), { x: 12, y: 16, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Network packets drop: $_worker_node', 'pps', queries.networkDrop.query('$_worker_node'), { x: 0, y: 24, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Conntrack stats: $_worker_node', '', queries.conntrackStats.query('$_worker_node'), { x: 12, y: 24, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Top 10 container CPU: $_worker_node', 'percent', queries.top10ContainerCPU.query('$_worker_node'), { x: 0, y: 24, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Top 10 container RSS: $_worker_node', 'bytes', queries.top10ContainerRSS.query('$_worker_node'), { x: 12, y: 24, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounter('Conntrack stats: $_worker_node', '', queries.conntrackStats.query('$_worker_node'), { x: 12, y: 24, w: 12, h: 8 }),
panels.timeSeries.genericLegend('Top 10 container CPU: $_worker_node', 'percent', queries.top10ContainerCPU.query('$_worker_node'), { x: 0, y: 32, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounter('Top 10 container RSS: $_worker_node', 'bytes', queries.top10ContainerRSS.query('$_worker_node'), { x: 12, y: 32, w: 12, h: 8 }),
panels.timeSeries.genericLegend('cgroup CPU: $_worker_node', 'percent', queries.nodeCGroupCPU.query('$_worker_node'), { x: 0, y: 40, w: 12, h: 8 }),
panels.timeSeries.genericLegendCounter('cgroup RSS: $_worker_node', 'bytes', queries.nodeCGroupRSS.query('$_worker_node'), { x: 12, y: 40, w: 12, h: 8 }),
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See above comments about master node

]),
g.panel.row.new('Infra: $_infra_node')
+ g.panel.row.withGridPos({ x: 0, y: 0, w: 0, h: 8 })
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