mirror of
https://github.com/prometheus/prometheus.git
synced 2025-02-02 08:31:11 -08:00
afde4707c5
Update and rewrite the mixin dashboards to use the grafonnet ([1]) library. Grafana has deprecated angular plugins ([2]) as used by grafonnet-lib ([3]) with removal pending for grafana version 12. Additionally grafonnet-lib is deprecated/unmaintained in favor of grafonnet. Therefore the mixin dashboards have been updated to use grafonnet. Closes: https://github.com/prometheus/prometheus/issues/14404 [1] https://github.com/grafana/grafonnet [2] https://grafana.com/docs/grafana/latest/developers/angular_deprecation/ [3] https://github.com/grafana/grafonnet-lib Signed-off-by: Jan Horstmann <horstmann@osism.tech>
826 lines
37 KiB
Plaintext
826 lines
37 KiB
Plaintext
local grafana = import 'github.com/grafana/grafonnet/gen/grafonnet-latest/main.libsonnet';
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local dashboard = grafana.dashboard;
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local prometheus = grafana.query.prometheus;
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local variable = dashboard.variable;
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local panel = grafana.panel;
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local row = panel.row;
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{
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grafanaDashboards+:: {
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local panelTimeSeriesStdOptions =
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{}
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+ panel.timeSeries.queryOptions.withDatasource('prometheus', '$datasource')
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+ panel.timeSeries.fieldConfig.defaults.custom.withFillOpacity(10)
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+ panel.timeSeries.fieldConfig.defaults.custom.withShowPoints('never')
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+ panel.timeSeries.options.tooltip.withMode('multi')
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,
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local panelTimeSeriesStacking =
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{}
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+ panel.timeSeries.fieldConfig.defaults.custom.withFillOpacity(100)
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+ panel.timeSeries.fieldConfig.defaults.custom.withLineWidth(0)
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+ panel.timeSeries.fieldConfig.defaults.custom.stacking.withMode('normal')
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,
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'prometheus.json':
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local showMultiCluster = $._config.showMultiCluster;
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local datasourceVariable =
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variable.datasource.new('datasource', 'prometheus')
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+ variable.datasource.generalOptions.withLabel('Data source')
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+ variable.datasource.generalOptions.withCurrent('default')
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+ variable.datasource.generalOptions.showOnDashboard.withLabelAndValue()
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;
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local clusterVariable =
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variable.query.new('cluster')
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+ variable.query.generalOptions.withLabel('cluster')
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+ variable.query.withDatasourceFromVariable(datasourceVariable)
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+ variable.query.refresh.onTime()
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+ variable.query.withSort(type='alphabetical', asc=false)
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+ variable.query.selectionOptions.withIncludeAll(true, '.+')
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+ variable.query.selectionOptions.withMulti(true)
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+ variable.query.generalOptions.withCurrent('$__all')
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+ variable.query.queryTypes.withLabelValues($._config.clusterLabel, metric='prometheus_build_info{%(prometheusSelector)s}' % $._config)
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+ variable.datasource.generalOptions.showOnDashboard.withLabelAndValue()
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;
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local jobVariable =
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variable.query.new('job')
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+ variable.query.generalOptions.withLabel('job')
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+ variable.query.withDatasourceFromVariable(datasourceVariable)
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+ variable.query.refresh.onTime()
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+ variable.query.withSort(type='alphabetical', asc=false)
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+ variable.query.selectionOptions.withIncludeAll(true, '.+')
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+ variable.query.selectionOptions.withMulti(true)
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+ if showMultiCluster then
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variable.query.queryTypes.withLabelValues('job', metric='prometheus_build_info{cluster=~"$cluster"}')
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else
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variable.query.queryTypes.withLabelValues('job', metric='prometheus_build_info{%(prometheusSelector)s}' % $._config)
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;
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local instanceVariable =
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variable.query.new('instance')
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+ variable.query.generalOptions.withLabel('instance')
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+ variable.query.withDatasourceFromVariable(datasourceVariable)
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+ variable.query.refresh.onTime()
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+ variable.query.withSort(type='alphabetical', asc=false)
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+ variable.query.selectionOptions.withIncludeAll(true, '.+')
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+ variable.query.selectionOptions.withMulti(true)
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+ if showMultiCluster then
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variable.query.queryTypes.withLabelValues('instance', metric='prometheus_build_info{cluster=~"$cluster", job=~"$job"}')
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else
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variable.query.queryTypes.withLabelValues('instance', metric='prometheus_build_info{job=~"$job"}')
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;
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local prometheusStats =
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panel.table.new('Prometheus Stats')
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+ panel.table.queryOptions.withDatasource('prometheus', '$datasource')
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+ panel.table.standardOptions.withUnit('short')
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+ panel.table.standardOptions.withDecimals(2)
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+ panel.table.standardOptions.withDisplayName('')
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+ panel.table.standardOptions.withOverrides([
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panel.table.standardOptions.override.byName.new('Time')
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+ panel.table.standardOptions.override.byName.withProperty('displayName', 'Time')
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+ panel.table.standardOptions.override.byName.withProperty('custom.align', null)
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+ panel.table.standardOptions.override.byName.withProperty('custom.hidden', 'true'),
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panel.table.standardOptions.override.byName.new('cluster')
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+ panel.table.standardOptions.override.byName.withProperty('custom.align', null)
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+ panel.table.standardOptions.override.byName.withProperty('unit', 'short')
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+ panel.table.standardOptions.override.byName.withProperty('decimals', 2)
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+ if showMultiCluster then panel.table.standardOptions.override.byName.withProperty('displayName', 'Cluster') else {},
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panel.table.standardOptions.override.byName.new('job')
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+ panel.table.standardOptions.override.byName.withProperty('custom.align', null)
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+ panel.table.standardOptions.override.byName.withProperty('unit', 'short')
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+ panel.table.standardOptions.override.byName.withProperty('decimals', 2)
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+ panel.table.standardOptions.override.byName.withProperty('displayName', 'Job'),
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panel.table.standardOptions.override.byName.new('instance')
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+ panel.table.standardOptions.override.byName.withProperty('displayName', 'Instance')
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+ panel.table.standardOptions.override.byName.withProperty('custom.align', null)
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+ panel.table.standardOptions.override.byName.withProperty('unit', 'short')
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+ panel.table.standardOptions.override.byName.withProperty('decimals', 2),
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panel.table.standardOptions.override.byName.new('version')
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+ panel.table.standardOptions.override.byName.withProperty('displayName', 'Version')
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+ panel.table.standardOptions.override.byName.withProperty('custom.align', null)
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+ panel.table.standardOptions.override.byName.withProperty('unit', 'short')
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+ panel.table.standardOptions.override.byName.withProperty('decimals', 2),
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panel.table.standardOptions.override.byName.new('Value #A')
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+ panel.table.standardOptions.override.byName.withProperty('displayName', 'Count')
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+ panel.table.standardOptions.override.byName.withProperty('custom.align', null)
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+ panel.table.standardOptions.override.byName.withProperty('unit', 'short')
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+ panel.table.standardOptions.override.byName.withProperty('decimals', 2)
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+ panel.table.standardOptions.override.byName.withProperty('custom.hidden', 'true'),
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panel.table.standardOptions.override.byName.new('Value #B')
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+ panel.table.standardOptions.override.byName.withProperty('displayName', 'Uptime')
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+ panel.table.standardOptions.override.byName.withProperty('custom.align', null)
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+ panel.table.standardOptions.override.byName.withProperty('unit', 's'),
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])
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+ if showMultiCluster then
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panel.table.queryOptions.withTargets([
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prometheus.new(
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'$datasource',
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'count by (cluster, job, instance, version) (prometheus_build_info{cluster=~"$cluster", job=~"$job", instance=~"$instance"})'
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)
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+ prometheus.withFormat('table')
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+ prometheus.withInstant(true)
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+ prometheus.withLegendFormat(''),
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prometheus.new(
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'$datasource',
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'max by (cluster, job, instance) (time() - process_start_time_seconds{cluster=~"$cluster", job=~"$job", instance=~"$instance"})'
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)
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+ prometheus.withFormat('table')
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+ prometheus.withInstant(true)
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+ prometheus.withLegendFormat(''),
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])
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else
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panel.table.queryOptions.withTargets([
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prometheus.new(
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'$datasource',
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'count by (job, instance, version) (prometheus_build_info{job=~"$job", instance=~"$instance"})'
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)
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+ prometheus.withFormat('table')
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+ prometheus.withInstant(true)
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+ prometheus.withLegendFormat(''),
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prometheus.new(
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'$datasource',
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'max by (job, instance) (time() - process_start_time_seconds{job=~"$job", instance=~"$instance"})'
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)
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+ prometheus.withFormat('table')
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+ prometheus.withInstant(true)
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+ prometheus.withLegendFormat(''),
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])
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;
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local targetSync =
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panel.timeSeries.new('Target Sync')
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+ panelTimeSeriesStdOptions
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+ panel.timeSeries.options.tooltip.withSort('desc')
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+ panel.timeSeries.standardOptions.withMin(0)
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+ panel.timeSeries.standardOptions.withUnit('ms')
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+ if showMultiCluster then
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panel.timeSeries.queryOptions.withTargets([
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prometheus.new(
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'$datasource',
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'sum(rate(prometheus_target_sync_length_seconds_sum{cluster=~"$cluster",job=~"$job",instance=~"$instance"}[5m])) by (cluster, job, scrape_job, instance) * 1e3'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('{{cluster}}:{{job}}:{{instance}}:{{scrape_job}}'),
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])
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else
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panel.timeSeries.queryOptions.withTargets([
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prometheus.new(
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'$datasource',
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'sum(rate(prometheus_target_sync_length_seconds_sum{job=~"$job",instance=~"$instance"}[5m])) by (scrape_job) * 1e3'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('{{scrape_job}}'),
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])
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;
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local targets =
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panel.timeSeries.new('Targets')
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+ panelTimeSeriesStdOptions
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+ panel.timeSeries.options.tooltip.withSort('desc')
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+ panel.timeSeries.standardOptions.withMin(0)
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+ panelTimeSeriesStacking
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+ panel.timeSeries.standardOptions.withUnit('short')
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+ if showMultiCluster then
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panel.timeSeries.queryOptions.withTargets([
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prometheus.new(
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'$datasource',
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'sum by (cluster, job, instance) (prometheus_sd_discovered_targets{cluster=~"$cluster", job=~"$job",instance=~"$instance"})'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('{{cluster}}:{{job}}:{{instance}}'),
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])
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else
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panel.timeSeries.queryOptions.withTargets([
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prometheus.new(
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'$datasource',
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'sum(prometheus_sd_discovered_targets{job=~"$job",instance=~"$instance"})'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('Targets'),
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])
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;
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local averageScrapeIntervalDuration =
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panel.timeSeries.new('Average Scrape Interval Duration')
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+ panelTimeSeriesStdOptions
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+ panel.timeSeries.options.tooltip.withSort('desc')
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+ panel.timeSeries.standardOptions.withMin(0)
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+ panel.timeSeries.standardOptions.withUnit('ms')
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+ if showMultiCluster then
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panel.timeSeries.queryOptions.withTargets([
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prometheus.new(
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'$datasource',
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'rate(prometheus_target_interval_length_seconds_sum{cluster=~"$cluster", job=~"$job",instance=~"$instance"}[5m]) / rate(prometheus_target_interval_length_seconds_count{cluster=~"$cluster", job=~"$job",instance=~"$instance"}[5m]) * 1e3'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('{{cluster}}:{{job}}:{{instance}} {{interval}} configured'),
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])
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else
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panel.timeSeries.queryOptions.withTargets([
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prometheus.new(
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'$datasource',
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'rate(prometheus_target_interval_length_seconds_sum{job=~"$job",instance=~"$instance"}[5m]) / rate(prometheus_target_interval_length_seconds_count{job=~"$job",instance=~"$instance"}[5m]) * 1e3'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('{{interval}} configured'),
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])
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;
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local scrapeFailures =
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panel.timeSeries.new('Scrape failures')
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+ panelTimeSeriesStdOptions
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+ panel.timeSeries.options.tooltip.withSort('desc')
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+ panel.timeSeries.standardOptions.withMin(0)
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+ panelTimeSeriesStacking
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+ panel.timeSeries.standardOptions.withUnit('ms')
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+ if showMultiCluster then
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panel.timeSeries.queryOptions.withTargets([
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prometheus.new(
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'$datasource',
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'sum by (cluster, job, instance) (rate(prometheus_target_scrapes_exceeded_body_size_limit_total{cluster=~"$cluster",job=~"$job",instance=~"$instance"}[1m]))'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('exceeded body size limit: {{cluster}} {{job}} {{instance}}'),
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prometheus.new(
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'$datasource',
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'sum by (cluster, job, instance) (rate(prometheus_target_scrapes_exceeded_sample_limit_total{cluster=~"$cluster",job=~"$job",instance=~"$instance"}[1m]))'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('exceeded sample limit: {{cluster}} {{job}} {{instance}}'),
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prometheus.new(
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'$datasource',
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'sum by (cluster, job, instance) (rate(prometheus_target_scrapes_sample_duplicate_timestamp_total{cluster=~"$cluster",job=~"$job",instance=~"$instance"}[1m]))'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('duplicate timestamp: {{cluster}} {{job}} {{instance}}'),
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prometheus.new(
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'$datasource',
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'sum by (cluster, job, instance) (rate(prometheus_target_scrapes_sample_out_of_bounds_total{cluster=~"$cluster",job=~"$job",instance=~"$instance"}[1m]))'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('out of bounds: {{cluster}} {{job}} {{instance}}'),
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prometheus.new(
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'$datasource',
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'sum by (cluster, job, instance) (rate(prometheus_target_scrapes_sample_out_of_order_total{cluster=~"$cluster",job=~"$job",instance=~"$instance"}[1m]))'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('out of order: {{cluster}} {{job}} {{instance}}'),
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])
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else
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panel.timeSeries.queryOptions.withTargets([
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prometheus.new(
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'$datasource',
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'sum by (job) (rate(prometheus_target_scrapes_exceeded_body_size_limit_total[1m]))'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('exceeded body size limit: {{job}}'),
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prometheus.new(
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'$datasource',
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'sum by (job) (rate(prometheus_target_scrapes_exceeded_sample_limit_total[1m]))'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('exceeded sample limit: {{job}}'),
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prometheus.new(
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'$datasource',
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'sum by (job) (rate(prometheus_target_scrapes_sample_duplicate_timestamp_total[1m]))'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('duplicate timestamp: {{job}}'),
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prometheus.new(
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'$datasource',
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'sum by (job) (rate(prometheus_target_scrapes_sample_out_of_bounds_total[1m]))'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('out of bounds: {{job}}'),
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prometheus.new(
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'$datasource',
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'sum by (job) (rate(prometheus_target_scrapes_sample_out_of_order_total[1m]))'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('out of order: {{job}}'),
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])
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;
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local appendedSamples =
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panel.timeSeries.new('Appended Samples')
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+ panelTimeSeriesStdOptions
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+ panel.timeSeries.options.tooltip.withSort('desc')
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+ panel.timeSeries.standardOptions.withMin(0)
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+ panelTimeSeriesStacking
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+ panel.timeSeries.standardOptions.withUnit('short')
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+ if showMultiCluster then
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panel.timeSeries.queryOptions.withTargets([
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prometheus.new(
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'$datasource',
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'rate(prometheus_tsdb_head_samples_appended_total{cluster=~"$cluster", job=~"$job",instance=~"$instance"}[5m])'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('{{cluster}} {{job}} {{instance}}'),
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])
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else
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panel.timeSeries.queryOptions.withTargets([
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prometheus.new(
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'$datasource',
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'rate(prometheus_tsdb_head_samples_appended_total{job=~"$job",instance=~"$instance"}[5m])'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('{{job}} {{instance}}'),
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])
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;
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local headSeries =
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panel.timeSeries.new('Head Series')
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+ panelTimeSeriesStdOptions
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+ panel.timeSeries.options.tooltip.withSort('desc')
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+ panel.timeSeries.standardOptions.withMin(0)
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+ panelTimeSeriesStacking
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+ panel.timeSeries.standardOptions.withUnit('short')
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+ if showMultiCluster then
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panel.timeSeries.queryOptions.withTargets([
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prometheus.new(
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'$datasource',
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'prometheus_tsdb_head_series{cluster=~"$cluster",job=~"$job",instance=~"$instance"}'
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)
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+ prometheus.withFormat('time_series')
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+ prometheus.withLegendFormat('{{cluster}} {{job}} {{instance}} head series'),
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])
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else
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panel.timeSeries.queryOptions.withTargets([
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prometheus.new(
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'$datasource',
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'prometheus_tsdb_head_series{job=~"$job",instance=~"$instance"}'
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)
|
|
+ prometheus.withFormat('time_series')
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|
+ prometheus.withLegendFormat('{{job}} {{instance}} head series'),
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])
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;
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|
|
|
local headChunks =
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panel.timeSeries.new('Head Chunks')
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|
+ panelTimeSeriesStdOptions
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|
+ panel.timeSeries.options.tooltip.withSort('desc')
|
|
+ panel.timeSeries.standardOptions.withMin(0)
|
|
+ panelTimeSeriesStacking
|
|
+ panel.timeSeries.standardOptions.withUnit('short')
|
|
+ if showMultiCluster then
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panel.timeSeries.queryOptions.withTargets([
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prometheus.new(
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'$datasource',
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'prometheus_tsdb_head_chunks{cluster=~"$cluster",job=~"$job",instance=~"$instance"}'
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withLegendFormat('{{cluster}} {{job}} {{instance}} head chunks'),
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|
])
|
|
else
|
|
panel.timeSeries.queryOptions.withTargets([
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prometheus.new(
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|
'$datasource',
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'prometheus_tsdb_head_chunks{job=~"$job",instance=~"$instance"}'
|
|
)
|
|
+ prometheus.withFormat('time_series')
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|
+ prometheus.withLegendFormat('{{job}} {{instance}} head chunks'),
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|
])
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|
;
|
|
|
|
local queryRate =
|
|
panel.timeSeries.new('Query Rate')
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|
+ panelTimeSeriesStdOptions
|
|
+ panel.timeSeries.options.tooltip.withSort('desc')
|
|
+ panel.timeSeries.standardOptions.withMin(0)
|
|
+ panelTimeSeriesStacking
|
|
+ panel.timeSeries.standardOptions.withUnit('short')
|
|
+ if showMultiCluster then
|
|
panel.timeSeries.queryOptions.withTargets([
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|
prometheus.new(
|
|
'$datasource',
|
|
'rate(prometheus_engine_query_duration_seconds_count{cluster=~"$cluster",job=~"$job",instance=~"$instance",slice="inner_eval"}[5m])'
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|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withLegendFormat('{{cluster}} {{job}} {{instance}}'),
|
|
])
|
|
else
|
|
panel.timeSeries.queryOptions.withTargets([
|
|
prometheus.new(
|
|
'$datasource',
|
|
'rate(prometheus_engine_query_duration_seconds_count{job=~"$job",instance=~"$instance",slice="inner_eval"}[5m])'
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withLegendFormat('{{job}} {{instance}}'),
|
|
])
|
|
;
|
|
|
|
local stageDuration =
|
|
panel.timeSeries.new('Stage Duration')
|
|
+ panelTimeSeriesStdOptions
|
|
+ panel.timeSeries.options.tooltip.withSort('desc')
|
|
+ panel.timeSeries.standardOptions.withMin(0)
|
|
+ panelTimeSeriesStacking
|
|
+ panel.timeSeries.standardOptions.withUnit('ms')
|
|
+ if showMultiCluster then
|
|
panel.timeSeries.queryOptions.withTargets([
|
|
prometheus.new(
|
|
'$datasource',
|
|
'max by (slice) (prometheus_engine_query_duration_seconds{quantile="0.9",cluster=~"$cluster", job=~"$job",instance=~"$instance"}) * 1e3'
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withLegendFormat('{{slice}}'),
|
|
])
|
|
else
|
|
panel.timeSeries.queryOptions.withTargets([
|
|
prometheus.new(
|
|
'$datasource',
|
|
'max by (slice) (prometheus_engine_query_duration_seconds{quantile="0.9",job=~"$job",instance=~"$instance"}) * 1e3'
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withLegendFormat('{{slice}}'),
|
|
])
|
|
;
|
|
|
|
dashboard.new('%(prefix)sOverview' % $._config.grafanaPrometheus)
|
|
+ dashboard.time.withFrom('now-1h')
|
|
+ dashboard.withTags($._config.grafanaPrometheus.tags)
|
|
+ dashboard.timepicker.withRefreshIntervals($._config.grafanaPrometheus.refresh)
|
|
+ dashboard.withVariables(std.prune([
|
|
datasourceVariable,
|
|
if showMultiCluster then clusterVariable,
|
|
jobVariable,
|
|
instanceVariable,
|
|
]))
|
|
+ dashboard.withPanels(
|
|
grafana.util.grid.makeGrid([
|
|
row.new('Prometheus Stats')
|
|
+ row.withPanels([
|
|
prometheusStats,
|
|
]),
|
|
], panelWidth=24, panelHeight=7)
|
|
+
|
|
grafana.util.grid.makeGrid([
|
|
row.new('Discovery')
|
|
+ row.withPanels([
|
|
targetSync,
|
|
targets,
|
|
]),
|
|
], panelWidth=12, panelHeight=7, startY=8)
|
|
+
|
|
grafana.util.grid.makeGrid([
|
|
row.new('Retrieval')
|
|
+ row.withPanels([
|
|
averageScrapeIntervalDuration,
|
|
scrapeFailures,
|
|
appendedSamples,
|
|
]),
|
|
], panelWidth=8, panelHeight=7, startY=16)
|
|
+
|
|
grafana.util.grid.makeGrid([
|
|
row.new('Storage')
|
|
+ row.withPanels([
|
|
headSeries,
|
|
headChunks,
|
|
]),
|
|
row.new('Query')
|
|
+ row.withPanels([
|
|
queryRate,
|
|
stageDuration,
|
|
]),
|
|
], panelWidth=12, panelHeight=7, startY=24)
|
|
),
|
|
// Remote write specific dashboard.
|
|
'prometheus-remote-write.json':
|
|
|
|
local datasourceVariable =
|
|
variable.datasource.new('datasource', 'prometheus')
|
|
+ variable.datasource.generalOptions.withCurrent('default')
|
|
+ variable.datasource.generalOptions.showOnDashboard.withLabelAndValue()
|
|
;
|
|
|
|
local clusterVariable =
|
|
variable.query.new('cluster')
|
|
+ variable.query.withDatasourceFromVariable(datasourceVariable)
|
|
+ variable.query.refresh.onTime()
|
|
+ variable.query.selectionOptions.withIncludeAll(true)
|
|
+ variable.query.generalOptions.withCurrent('$__all')
|
|
+ variable.query.queryTypes.withLabelValues($._config.clusterLabel, metric='prometheus_build_info')
|
|
+ variable.datasource.generalOptions.showOnDashboard.withLabelAndValue()
|
|
;
|
|
|
|
local instanceVariable =
|
|
variable.query.new('instance')
|
|
+ variable.query.withDatasourceFromVariable(datasourceVariable)
|
|
+ variable.query.refresh.onTime()
|
|
+ variable.query.selectionOptions.withIncludeAll(true)
|
|
+ variable.query.queryTypes.withLabelValues('instance', metric='prometheus_build_info{cluster=~"$cluster"}')
|
|
;
|
|
|
|
local urlVariable =
|
|
variable.query.new('url')
|
|
+ variable.query.withDatasourceFromVariable(datasourceVariable)
|
|
+ variable.query.refresh.onTime()
|
|
+ variable.query.selectionOptions.withIncludeAll(true)
|
|
+ variable.query.queryTypes.withLabelValues('url', metric='prometheus_remote_storage_shards{cluster=~"$cluster", instance=~"$instance"}')
|
|
;
|
|
|
|
local timestampComparison =
|
|
panel.timeSeries.new('Highest Timestamp In vs. Highest Timestamp Sent')
|
|
+ panelTimeSeriesStdOptions
|
|
+ panel.timeSeries.standardOptions.withUnit('short')
|
|
+ panel.timeSeries.queryOptions.withTargets([
|
|
prometheus.new(
|
|
'$datasource',
|
|
|||
|
|
(
|
|
prometheus_remote_storage_highest_timestamp_in_seconds{cluster=~"$cluster", instance=~"$instance"}
|
|
-
|
|
ignoring(remote_name, url) group_right(instance) (prometheus_remote_storage_queue_highest_sent_timestamp_seconds{cluster=~"$cluster", instance=~"$instance", url=~"$url"} != 0)
|
|
)
|
|
|||
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withIntervalFactor(2)
|
|
+ prometheus.withLegendFormat('{{cluster}}:{{instance}} {{remote_name}}:{{url}}'),
|
|
]);
|
|
|
|
local timestampComparisonRate =
|
|
panel.timeSeries.new('Rate[5m]')
|
|
+ panelTimeSeriesStdOptions
|
|
+ panel.timeSeries.standardOptions.withUnit('short')
|
|
+ panel.timeSeries.queryOptions.withTargets([
|
|
prometheus.new(
|
|
'$datasource',
|
|
|||
|
|
clamp_min(
|
|
rate(prometheus_remote_storage_highest_timestamp_in_seconds{cluster=~"$cluster", instance=~"$instance"}[5m])
|
|
-
|
|
ignoring (remote_name, url) group_right(instance) rate(prometheus_remote_storage_queue_highest_sent_timestamp_seconds{cluster=~"$cluster", instance=~"$instance", url=~"$url"}[5m])
|
|
, 0)
|
|
|||
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withIntervalFactor(2)
|
|
+ prometheus.withLegendFormat('{{cluster}}:{{instance}} {{remote_name}}:{{url}}'),
|
|
]);
|
|
|
|
local samplesRate =
|
|
panel.timeSeries.new('Rate, in vs. succeeded or dropped [5m]')
|
|
+ panelTimeSeriesStdOptions
|
|
+ panel.timeSeries.standardOptions.withUnit('short')
|
|
+ panel.timeSeries.queryOptions.withTargets([
|
|
prometheus.new(
|
|
'$datasource',
|
|
|||
|
|
rate(
|
|
prometheus_remote_storage_samples_in_total{cluster=~"$cluster", instance=~"$instance"}[5m])
|
|
-
|
|
ignoring(remote_name, url) group_right(instance) (rate(prometheus_remote_storage_succeeded_samples_total{cluster=~"$cluster", instance=~"$instance", url=~"$url"}[5m]) or rate(prometheus_remote_storage_samples_total{cluster=~"$cluster", instance=~"$instance", url=~"$url"}[5m]))
|
|
-
|
|
(rate(prometheus_remote_storage_dropped_samples_total{cluster=~"$cluster", instance=~"$instance", url=~"$url"}[5m]) or rate(prometheus_remote_storage_samples_dropped_total{cluster=~"$cluster", instance=~"$instance", url=~"$url"}[5m]))
|
|
|||
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withIntervalFactor(2)
|
|
+ prometheus.withLegendFormat('{{cluster}}:{{instance}} {{remote_name}}:{{url}}'),
|
|
]);
|
|
|
|
local currentShards =
|
|
panel.timeSeries.new('Current Shards')
|
|
+ panelTimeSeriesStdOptions
|
|
+ panel.timeSeries.standardOptions.withUnit('short')
|
|
+ panel.timeSeries.queryOptions.withTargets([
|
|
prometheus.new(
|
|
'$datasource',
|
|
'prometheus_remote_storage_shards{cluster=~"$cluster", instance=~"$instance", url=~"$url"}'
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withIntervalFactor(2)
|
|
+ prometheus.withLegendFormat('{{cluster}}:{{instance}} {{remote_name}}:{{url}}'),
|
|
]);
|
|
|
|
local maxShards =
|
|
panel.timeSeries.new('Max Shards')
|
|
+ panelTimeSeriesStdOptions
|
|
+ panel.timeSeries.standardOptions.withUnit('short')
|
|
+ panel.timeSeries.queryOptions.withTargets([
|
|
prometheus.new(
|
|
'$datasource',
|
|
'prometheus_remote_storage_shards_max{cluster=~"$cluster", instance=~"$instance", url=~"$url"}'
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withIntervalFactor(2)
|
|
+ prometheus.withLegendFormat('{{cluster}}:{{instance}} {{remote_name}}:{{url}}'),
|
|
]);
|
|
|
|
local minShards =
|
|
panel.timeSeries.new('Min Shards')
|
|
+ panelTimeSeriesStdOptions
|
|
+ panel.timeSeries.standardOptions.withUnit('short')
|
|
+ panel.timeSeries.queryOptions.withTargets([
|
|
prometheus.new(
|
|
'$datasource',
|
|
'prometheus_remote_storage_shards_min{cluster=~"$cluster", instance=~"$instance", url=~"$url"}'
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withIntervalFactor(2)
|
|
+ prometheus.withLegendFormat('{{cluster}}:{{instance}} {{remote_name}}:{{url}}'),
|
|
]);
|
|
|
|
local desiredShards =
|
|
panel.timeSeries.new('Desired Shards')
|
|
+ panelTimeSeriesStdOptions
|
|
+ panel.timeSeries.standardOptions.withUnit('short')
|
|
+ panel.timeSeries.queryOptions.withTargets([
|
|
prometheus.new(
|
|
'$datasource',
|
|
'prometheus_remote_storage_shards_desired{cluster=~"$cluster", instance=~"$instance", url=~"$url"}'
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withIntervalFactor(2)
|
|
+ prometheus.withLegendFormat('{{cluster}}:{{instance}} {{remote_name}}:{{url}}'),
|
|
]);
|
|
|
|
local shardsCapacity =
|
|
panel.timeSeries.new('Shard Capacity')
|
|
+ panelTimeSeriesStdOptions
|
|
+ panel.timeSeries.standardOptions.withUnit('short')
|
|
+ panel.timeSeries.queryOptions.withTargets([
|
|
prometheus.new(
|
|
'$datasource',
|
|
'prometheus_remote_storage_shard_capacity{cluster=~"$cluster", instance=~"$instance", url=~"$url"}'
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withIntervalFactor(2)
|
|
+ prometheus.withLegendFormat('{{cluster}}:{{instance}} {{remote_name}}:{{url}}'),
|
|
]);
|
|
|
|
local pendingSamples =
|
|
panel.timeSeries.new('Pending Samples')
|
|
+ panelTimeSeriesStdOptions
|
|
+ panel.timeSeries.standardOptions.withUnit('short')
|
|
+ panel.timeSeries.queryOptions.withTargets([
|
|
prometheus.new(
|
|
'$datasource',
|
|
'prometheus_remote_storage_pending_samples{cluster=~"$cluster", instance=~"$instance", url=~"$url"} or prometheus_remote_storage_samples_pending{cluster=~"$cluster", instance=~"$instance", url=~"$url"}'
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withIntervalFactor(2)
|
|
+ prometheus.withLegendFormat('{{cluster}}:{{instance}} {{remote_name}}:{{url}}'),
|
|
]);
|
|
|
|
local walSegment =
|
|
panel.timeSeries.new('TSDB Current Segment')
|
|
+ panelTimeSeriesStdOptions
|
|
+ panel.timeSeries.options.tooltip.withMode('single')
|
|
+ panel.timeSeries.fieldConfig.defaults.custom.withFillOpacity(0)
|
|
+ panel.timeSeries.standardOptions.withUnit('none')
|
|
+ panel.timeSeries.queryOptions.withTargets([
|
|
prometheus.new(
|
|
'$datasource',
|
|
'prometheus_tsdb_wal_segment_current{cluster=~"$cluster", instance=~"$instance"}'
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withIntervalFactor(2)
|
|
+ prometheus.withLegendFormat('{{cluster}}:{{instance}}'),
|
|
]);
|
|
|
|
local queueSegment =
|
|
panel.timeSeries.new('Remote Write Current Segment')
|
|
+ panelTimeSeriesStdOptions
|
|
+ panel.timeSeries.options.tooltip.withMode('single')
|
|
+ panel.timeSeries.fieldConfig.defaults.custom.withFillOpacity(0)
|
|
+ panel.timeSeries.standardOptions.withUnit('none')
|
|
+ panel.timeSeries.queryOptions.withTargets([
|
|
prometheus.new(
|
|
'$datasource',
|
|
'prometheus_wal_watcher_current_segment{cluster=~"$cluster", instance=~"$instance"}'
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withIntervalFactor(2)
|
|
+ prometheus.withLegendFormat('{{cluster}}:{{instance}} {{consumer}}'),
|
|
]);
|
|
|
|
local droppedSamples =
|
|
panel.timeSeries.new('Dropped Samples')
|
|
+ panelTimeSeriesStdOptions
|
|
+ panel.timeSeries.options.tooltip.withMode('single')
|
|
+ panel.timeSeries.fieldConfig.defaults.custom.withFillOpacity(0)
|
|
+ panel.timeSeries.queryOptions.withTargets([
|
|
prometheus.new(
|
|
'$datasource',
|
|
'rate(prometheus_remote_storage_dropped_samples_total{cluster=~"$cluster", instance=~"$instance", url=~"$url"}[5m]) or rate(prometheus_remote_storage_samples_dropped_total{cluster=~"$cluster", instance=~"$instance", url=~"$url"}[5m])'
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withIntervalFactor(2)
|
|
+ prometheus.withLegendFormat('{{cluster}}:{{instance}} {{remote_name}}:{{url}}'),
|
|
]);
|
|
|
|
local failedSamples =
|
|
panel.timeSeries.new('Failed Samples')
|
|
+ panelTimeSeriesStdOptions
|
|
+ panel.timeSeries.options.tooltip.withMode('single')
|
|
+ panel.timeSeries.fieldConfig.defaults.custom.withFillOpacity(0)
|
|
+ panel.timeSeries.queryOptions.withTargets([
|
|
prometheus.new(
|
|
'$datasource',
|
|
'rate(prometheus_remote_storage_failed_samples_total{cluster=~"$cluster", instance=~"$instance", url=~"$url"}[5m]) or rate(prometheus_remote_storage_samples_failed_total{cluster=~"$cluster", instance=~"$instance", url=~"$url"}[5m])'
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withIntervalFactor(2)
|
|
+ prometheus.withLegendFormat('{{cluster}}:{{instance}} {{remote_name}}:{{url}}'),
|
|
]);
|
|
|
|
local retriedSamples =
|
|
panel.timeSeries.new('Retried Samples')
|
|
+ panelTimeSeriesStdOptions
|
|
+ panel.timeSeries.options.tooltip.withMode('single')
|
|
+ panel.timeSeries.fieldConfig.defaults.custom.withFillOpacity(0)
|
|
+ panel.timeSeries.queryOptions.withTargets([
|
|
prometheus.new(
|
|
'$datasource',
|
|
'rate(prometheus_remote_storage_retried_samples_total{cluster=~"$cluster", instance=~"$instance", url=~"$url"}[5m]) or rate(prometheus_remote_storage_samples_retried_total{cluster=~"$cluster", instance=~"$instance", url=~"$url"}[5m])'
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withIntervalFactor(2)
|
|
+ prometheus.withLegendFormat('{{cluster}}:{{instance}} {{remote_name}}:{{url}}'),
|
|
]);
|
|
|
|
local enqueueRetries =
|
|
panel.timeSeries.new('Enqueue Retries')
|
|
+ panelTimeSeriesStdOptions
|
|
+ panel.timeSeries.options.tooltip.withMode('single')
|
|
+ panel.timeSeries.fieldConfig.defaults.custom.withFillOpacity(0)
|
|
+ panel.timeSeries.queryOptions.withTargets([
|
|
prometheus.new(
|
|
'$datasource',
|
|
'rate(prometheus_remote_storage_enqueue_retries_total{cluster=~"$cluster", instance=~"$instance", url=~"$url"}[5m])'
|
|
)
|
|
+ prometheus.withFormat('time_series')
|
|
+ prometheus.withIntervalFactor(2)
|
|
+ prometheus.withLegendFormat('{{cluster}}:{{instance}} {{remote_name}}:{{url}}'),
|
|
]);
|
|
|
|
dashboard.new('%(prefix)sRemote Write' % $._config.grafanaPrometheus)
|
|
+ dashboard.time.withFrom('now-1h')
|
|
+ dashboard.withTags($._config.grafanaPrometheus.tags)
|
|
+ dashboard.timepicker.withRefreshIntervals($._config.grafanaPrometheus.refresh)
|
|
+ dashboard.withVariables([
|
|
datasourceVariable,
|
|
clusterVariable,
|
|
instanceVariable,
|
|
urlVariable,
|
|
])
|
|
+ dashboard.withPanels(
|
|
grafana.util.grid.makeGrid([
|
|
row.new('Timestamps')
|
|
+ row.withPanels([
|
|
timestampComparison,
|
|
timestampComparisonRate,
|
|
]),
|
|
], panelWidth=12, panelHeight=7)
|
|
+
|
|
grafana.util.grid.makeGrid([
|
|
row.new('Samples')
|
|
+ row.withPanels([
|
|
samplesRate
|
|
+ panel.timeSeries.gridPos.withW(24),
|
|
]),
|
|
row.new('Shards'),
|
|
], panelWidth=24, panelHeight=7, startY=8)
|
|
+
|
|
grafana.util.grid.wrapPanels([
|
|
currentShards
|
|
+ panel.timeSeries.gridPos.withW(24),
|
|
maxShards,
|
|
minShards,
|
|
desiredShards,
|
|
], panelWidth=8, panelHeight=7, startY=16)
|
|
+
|
|
grafana.util.grid.makeGrid([
|
|
row.new('Shard Details')
|
|
+ row.withPanels([
|
|
shardsCapacity,
|
|
pendingSamples,
|
|
]),
|
|
row.new('Segments')
|
|
+ row.withPanels([
|
|
walSegment,
|
|
queueSegment,
|
|
]),
|
|
], panelWidth=12, panelHeight=7, startY=24)
|
|
+
|
|
grafana.util.grid.makeGrid([
|
|
row.new('Misc. Rates')
|
|
+ row.withPanels([
|
|
droppedSamples,
|
|
failedSamples,
|
|
retriedSamples,
|
|
enqueueRetries,
|
|
]),
|
|
], panelWidth=6, panelHeight=7, startY=40)
|
|
),
|
|
},
|
|
}
|