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377 lines
12 KiB
377 lines
12 KiB
local g = import 'grafana-builder/grafana.libsonnet';
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local grafana = import 'grafonnet/grafana.libsonnet';
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local dashboard = grafana.dashboard;
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local row = grafana.row;
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local singlestat = grafana.singlestat;
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local prometheus = grafana.prometheus;
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local graphPanel = grafana.graphPanel;
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local tablePanel = grafana.tablePanel;
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local template = grafana.template;
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{
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grafanaDashboards+:: {
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'prometheus.json':
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g.dashboard('Prometheus')
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.addMultiTemplate('job', 'prometheus_build_info', 'job')
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.addMultiTemplate('instance', 'prometheus_build_info', 'instance')
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.addRow(
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g.row('Prometheus Stats')
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.addPanel(
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g.panel('Prometheus Stats') +
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g.tablePanel([
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'count by (job, instance, version) (prometheus_build_info{job=~"$job", instance=~"$instance"})',
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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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job: { alias: 'Job' },
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instance: { alias: 'Instance' },
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version: { alias: 'Version' },
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'Value #A': { alias: 'Count', type: 'hidden' },
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'Value #B': { alias: 'Uptime' },
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})
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)
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)
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.addRow(
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g.row('Discovery')
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.addPanel(
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g.panel('Target Sync') +
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g.queryPanel('sum(rate(prometheus_target_sync_length_seconds_sum{job=~"$job",instance=~"$instance"}[5m])) by (scrape_job) * 1e3', '{{scrape_job}}') +
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{ yaxes: g.yaxes('ms') }
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)
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.addPanel(
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g.panel('Targets') +
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g.queryPanel('sum(prometheus_sd_discovered_targets{job=~"$job",instance=~"$instance"})', 'Targets') +
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g.stack
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)
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)
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.addRow(
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g.row('Retrieval')
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.addPanel(
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g.panel('Average Scrape Interval Duration') +
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g.queryPanel('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', '{{interval}} configured') +
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{ yaxes: g.yaxes('ms') }
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)
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.addPanel(
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g.panel('Scrape failures') +
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g.queryPanel([
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'sum by (job) (rate(prometheus_target_scrapes_exceeded_sample_limit_total[1m]))',
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'sum by (job) (rate(prometheus_target_scrapes_sample_duplicate_timestamp_total[1m]))',
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'sum by (job) (rate(prometheus_target_scrapes_sample_out_of_bounds_total[1m]))',
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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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'exceeded sample limit: {{job}}',
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'duplicate timestamp: {{job}}',
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'out of bounds: {{job}}',
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'out of order: {{job}}',
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]) +
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g.stack
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)
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.addPanel(
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g.panel('Appended Samples') +
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g.queryPanel('rate(prometheus_tsdb_head_samples_appended_total{job=~"$job",instance=~"$instance"}[5m])', '{{job}} {{instance}}') +
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g.stack
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)
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)
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.addRow(
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g.row('Storage')
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.addPanel(
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g.panel('Head Series') +
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g.queryPanel('prometheus_tsdb_head_series{job=~"$job",instance=~"$instance"}', '{{job}} {{instance}} head series') +
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g.stack
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)
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.addPanel(
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g.panel('Head Chunks') +
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g.queryPanel('prometheus_tsdb_head_chunks{job=~"$job",instance=~"$instance"}', '{{job}} {{instance}} head chunks') +
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g.stack
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)
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)
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.addRow(
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g.row('Query')
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.addPanel(
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g.panel('Query Rate') +
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g.queryPanel('rate(prometheus_engine_query_duration_seconds_count{job=~"$job",instance=~"$instance",slice="inner_eval"}[5m])', '{{job}} {{instance}}') +
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g.stack,
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)
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.addPanel(
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g.panel('Stage Duration') +
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g.queryPanel('max by (slice) (prometheus_engine_query_duration_seconds{quantile="0.9",job=~"$job",instance=~"$instance"}) * 1e3', '{{slice}}') +
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{ yaxes: g.yaxes('ms') } +
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g.stack,
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)
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),
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// Remote write specific dashboard.
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'prometheus-remote-write.json':
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local timestampComparison =
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graphPanel.new(
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'Highest Timestamp In vs. Highest Timestamp Sent',
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datasource='$datasource',
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span=6,
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)
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.addTarget(prometheus.target(
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|||
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(
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prometheus_remote_storage_highest_timestamp_in_seconds{cluster=~"$cluster", instance=~"$instance"}
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-
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ignoring(queue) group_right(instance) prometheus_remote_storage_queue_highest_sent_timestamp_seconds{cluster=~"$cluster", instance=~"$instance"}
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)
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|||,
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legendFormat='{{cluster}}:{{instance}}-{{queue}}',
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));
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local timestampComparisonRate =
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graphPanel.new(
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'Rate[5m]',
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datasource='$datasource',
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span=6,
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)
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.addTarget(prometheus.target(
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|||
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(
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rate(prometheus_remote_storage_highest_timestamp_in_seconds{cluster=~"$cluster", instance=~"$instance"}[5m])
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-
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ignoring (queue) group_right(instance) rate(prometheus_remote_storage_queue_highest_sent_timestamp_seconds{cluster=~"$cluster", instance=~"$instance"}[5m])
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)
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legendFormat='{{cluster}}:{{instance}}-{{queue}}',
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));
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local samplesRate =
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graphPanel.new(
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'Rate, in vs. succeeded or dropped [5m]',
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datasource='$datasource',
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span=12,
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)
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.addTarget(prometheus.target(
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|||
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rate(
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prometheus_remote_storage_samples_in_total{cluster=~"$cluster", instance=~"$instance"}[5m])
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-
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ignoring(queue) group_right(instance) rate(prometheus_remote_storage_succeeded_samples_total{cluster=~"$cluster", instance=~"$instance"}[5m])
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-
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rate(prometheus_remote_storage_dropped_samples_total{cluster=~"$cluster", instance=~"$instance"}[5m])
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|||,
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legendFormat='{{cluster}}:{{instance}}-{{queue}}'
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));
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local currentShards =
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graphPanel.new(
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'Current Shards',
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datasource='$datasource',
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span=12,
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min_span=6,
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)
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.addTarget(prometheus.target(
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'prometheus_remote_storage_shards{cluster=~"$cluster", instance=~"$instance"}',
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legendFormat='{{cluster}}:{{instance}}-{{queue}}'
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));
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local maxShards =
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graphPanel.new(
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'Max Shards',
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datasource='$datasource',
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span=4,
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)
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.addTarget(prometheus.target(
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'prometheus_remote_storage_shards_max{cluster=~"$cluster", instance=~"$instance"}',
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legendFormat='{{cluster}}:{{instance}}-{{queue}}'
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));
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local minShards =
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graphPanel.new(
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'Min Shards',
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datasource='$datasource',
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span=4,
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)
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.addTarget(prometheus.target(
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'prometheus_remote_storage_shards_min{cluster=~"$cluster", instance=~"$instance"}',
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legendFormat='{{cluster}}:{{instance}}-{{queue}}'
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));
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local desiredShards =
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graphPanel.new(
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'Desired Shards',
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datasource='$datasource',
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span=4,
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)
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.addTarget(prometheus.target(
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'prometheus_remote_storage_shards_desired{cluster=~"$cluster", instance=~"$instance"}',
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legendFormat='{{cluster}}:{{instance}}-{{queue}}'
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));
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local shardsCapacity =
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graphPanel.new(
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'Shard Capacity',
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datasource='$datasource',
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span=6,
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)
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.addTarget(prometheus.target(
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'prometheus_remote_storage_shard_capacity{cluster=~"$cluster", instance=~"$instance"}',
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legendFormat='{{cluster}}:{{instance}}-{{queue}}'
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));
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local pendingSamples =
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graphPanel.new(
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'Pending Samples',
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datasource='$datasource',
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span=6,
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)
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.addTarget(prometheus.target(
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'prometheus_remote_storage_pending_samples{cluster=~"$cluster", instance=~"$instance"}',
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legendFormat='{{cluster}}:{{instance}}-{{queue}}'
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));
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local walSegment =
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graphPanel.new(
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'TSDB Current Segment',
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datasource='$datasource',
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span=6,
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formatY1='none',
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)
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.addTarget(prometheus.target(
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'prometheus_tsdb_wal_segment_current{cluster=~"$cluster", instance=~"$instance"}',
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legendFormat='{{cluster}}:{{instance}}'
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));
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local queueSegment =
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graphPanel.new(
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'Remote Write Current Segment',
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datasource='$datasource',
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span=6,
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formatY1='none',
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)
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.addTarget(prometheus.target(
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'prometheus_wal_watcher_current_segment{cluster=~"$cluster", instance=~"$instance"}',
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legendFormat='{{cluster}}:{{instance}}-{{queue}}'
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));
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local droppedSamples =
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graphPanel.new(
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'Dropped Samples',
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datasource='$datasource',
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span=3,
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)
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.addTarget(prometheus.target(
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'rate(prometheus_remote_storage_dropped_samples_total{cluster=~"$cluster", instance=~"$instance"}[5m])',
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legendFormat='{{cluster}}:{{instance}}-{{queue}}'
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));
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local failedSamples =
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graphPanel.new(
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'Failed Samples',
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datasource='$datasource',
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span=3,
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)
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.addTarget(prometheus.target(
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'rate(prometheus_remote_storage_failed_samples_total{cluster=~"$cluster", instance=~"$instance"}[5m])',
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legendFormat='{{cluster}}:{{instance}}-{{queue}}'
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));
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local retriedSamples =
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graphPanel.new(
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'Retried Samples',
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datasource='$datasource',
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span=3,
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)
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.addTarget(prometheus.target(
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'rate(prometheus_remote_storage_retried_samples_total{cluster=~"$cluster", instance=~"$instance"}[5m])',
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legendFormat='{{cluster}}:{{instance}}-{{queue}}'
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));
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local enqueueRetries =
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graphPanel.new(
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'Enqueue Retries',
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datasource='$datasource',
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span=3,
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)
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.addTarget(prometheus.target(
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'rate(prometheus_remote_storage_enqueue_retries_total{cluster=~"$cluster", instance=~"$instance"}[5m])',
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legendFormat='{{cluster}}:{{instance}}-{{queue}}'
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));
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dashboard.new('Prometheus Remote Write',
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editable=true)
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.addTemplate(
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{
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hide: 0,
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label: null,
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name: 'datasource',
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options: [],
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query: 'prometheus',
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refresh: 1,
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regex: '',
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type: 'datasource',
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},
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)
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.addTemplate(
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template.new(
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'instance',
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'$datasource',
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'label_values(prometheus_build_info, instance)' % $._config,
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refresh='time',
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current={
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selected: true,
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text: 'All',
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value: '$__all',
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},
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includeAll=true,
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)
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)
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.addTemplate(
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template.new(
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'cluster',
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'$datasource',
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'label_values(kube_pod_container_info{image=~".*prometheus.*"}, cluster)' % $._config,
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refresh='time',
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current={
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selected: true,
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text: 'All',
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value: '$__all',
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},
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includeAll=true,
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)
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)
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.addTemplate(
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template.new(
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'queue',
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'$datasource',
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'label_values(prometheus_remote_storage_shards{cluster=~"$cluster", instance=~"$instance"}, queue)' % $._config,
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refresh='time',
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includeAll=true,
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)
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)
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.addRow(
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row.new('Timestamps')
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.addPanel(timestampComparison)
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.addPanel(timestampComparisonRate)
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)
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.addRow(
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row.new('Samples')
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.addPanel(samplesRate)
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)
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.addRow(
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row.new('Shards'
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)
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.addPanel(currentShards)
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.addPanel(maxShards)
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.addPanel(minShards)
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.addPanel(desiredShards)
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)
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.addRow(
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row.new('Shard Details')
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.addPanel(shardsCapacity)
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.addPanel(pendingSamples)
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)
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.addRow(
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row.new('Segments')
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.addPanel(walSegment)
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.addPanel(queueSegment)
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)
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.addRow(
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row.new('Misc. Rates')
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.addPanel(droppedSamples)
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.addPanel(failedSamples)
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.addPanel(retriedSamples)
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.addPanel(enqueueRetries)
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)
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},
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}
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