mirror of
https://github.com/prometheus/prometheus.git
synced 2024-12-26 22:19:40 -08:00
392 lines
15 KiB
Plaintext
392 lines
15 KiB
Plaintext
local grafana = import 'github.com/grafana/grafonnet-lib/grafonnet/grafana.libsonnet';
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local g = import 'github.com/grafana/jsonnet-libs/grafana-builder/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(
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'%(prefix)sOverview' % $._config.grafanaPrometheus
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)
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.addMultiTemplate('cluster', 'prometheus_build_info{%(prometheusSelector)s}' % $._config, 'cluster')
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.addMultiTemplate('job', 'prometheus_build_info{cluster=~"$cluster"}', 'job')
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.addMultiTemplate('instance', 'prometheus_build_info{cluster=~"$cluster", job=~"$job"}', '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 (cluster, job, instance, version) (prometheus_build_info{cluster=~"$cluster", job=~"$job", instance=~"$instance"})',
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'max by (cluster, job, instance) (time() - process_start_time_seconds{cluster=~"$cluster", job=~"$job", instance=~"$instance"})',
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], {
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cluster: { alias: 'Cluster' },
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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', type: 'number', unit: 's' },
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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{cluster=~"$cluster",job=~"$job",instance=~"$instance"}[5m])) by (cluster, job, scrape_job, instance) * 1e3', '{{cluster}}:{{job}}:{{instance}}:{{scrape_job}}') +
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{ yaxes: g.yaxes('ms') }
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)
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.addPanel(
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g.panel('Targets') +
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g.queryPanel('sum by (cluster, job, instance) (prometheus_sd_discovered_targets{cluster=~"$cluster", job=~"$job",instance=~"$instance"})', '{{cluster}}:{{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('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{cluster=~"$cluster", job=~"$job",instance=~"$instance"}[5m]) / rate(prometheus_target_interval_length_seconds_count{cluster=~"$cluster", job=~"$job",instance=~"$instance"}[5m]) * 1e3', '{{cluster}}:{{job}}:{{instance}} {{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 (cluster, job, instance) (rate(prometheus_target_scrapes_exceeded_body_size_limit_total{cluster=~"$cluster",job=~"$job",instance=~"$instance"}[1m]))',
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'sum by (cluster, job, instance) (rate(prometheus_target_scrapes_exceeded_sample_limit_total{cluster=~"$cluster",job=~"$job",instance=~"$instance"}[1m]))',
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'sum by (cluster, job, instance) (rate(prometheus_target_scrapes_sample_duplicate_timestamp_total{cluster=~"$cluster",job=~"$job",instance=~"$instance"}[1m]))',
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'sum by (cluster, job, instance) (rate(prometheus_target_scrapes_sample_out_of_bounds_total{cluster=~"$cluster",job=~"$job",instance=~"$instance"}[1m]))',
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'sum by (cluster, job, instance) (rate(prometheus_target_scrapes_sample_out_of_order_total{cluster=~"$cluster",job=~"$job",instance=~"$instance"}[1m]))',
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], [
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'exceeded body size limit: {{cluster}} {{job}} {{instance}}',
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'exceeded sample limit: {{cluster}} {{job}} {{instance}}',
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'duplicate timestamp: {{cluster}} {{job}} {{instance}}',
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'out of bounds: {{cluster}} {{job}} {{instance}}',
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'out of order: {{cluster}} {{job}} {{instance}}',
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]) +
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g.stack
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)
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.addPanel(
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g.panel('Appended Samples') +
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g.queryPanel('rate(prometheus_tsdb_head_samples_appended_total{cluster=~"$cluster", job=~"$job",instance=~"$instance"}[5m])', '{{cluster}} {{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{cluster=~"$cluster",job=~"$job",instance=~"$instance"}', '{{cluster}} {{job}} {{instance}} head series') +
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g.stack
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)
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.addPanel(
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g.panel('Head Chunks') +
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g.queryPanel('prometheus_tsdb_head_chunks{cluster=~"$cluster",job=~"$job",instance=~"$instance"}', '{{cluster}} {{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{cluster=~"$cluster",job=~"$job",instance=~"$instance",slice="inner_eval"}[5m])', '{{cluster}} {{job}} {{instance}}') +
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g.stack,
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)
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.addPanel(
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g.panel('Stage Duration') +
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g.queryPanel('max by (slice) (prometheus_engine_query_duration_seconds{quantile="0.9",cluster=~"$cluster", 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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tags: $._config.grafanaPrometheus.tags,
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refresh: $._config.grafanaPrometheus.refresh,
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},
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// Remote write specific dashboard.
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'prometheus-remote-write.json':
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local timestampComparison =
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graphPanel.new(
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'Highest Timestamp In vs. Highest Timestamp Sent',
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datasource='$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(remote_name, url) group_right(instance) (prometheus_remote_storage_queue_highest_sent_timestamp_seconds{cluster=~"$cluster", instance=~"$instance", url=~"$url"} != 0)
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)
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|||,
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legendFormat='{{cluster}}:{{instance}} {{remote_name}}:{{url}}',
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));
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local timestampComparisonRate =
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graphPanel.new(
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'Rate[5m]',
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datasource='$datasource',
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span=6,
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)
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.addTarget(prometheus.target(
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clamp_min(
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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 (remote_name, url) group_right(instance) rate(prometheus_remote_storage_queue_highest_sent_timestamp_seconds{cluster=~"$cluster", instance=~"$instance", url=~"$url"}[5m])
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, 0)
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legendFormat='{{cluster}}:{{instance}} {{remote_name}}:{{url}}',
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));
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local samplesRate =
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graphPanel.new(
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'Rate, in vs. succeeded or dropped [5m]',
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datasource='$datasource',
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span=12,
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)
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.addTarget(prometheus.target(
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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(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]))
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-
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(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]))
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|||,
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legendFormat='{{cluster}}:{{instance}} {{remote_name}}:{{url}}'
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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=~"$instance", url=~"$url"}',
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legendFormat='{{cluster}}:{{instance}} {{remote_name}}:{{url}}'
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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=~"$instance", url=~"$url"}',
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legendFormat='{{cluster}}:{{instance}} {{remote_name}}:{{url}}'
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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=~"$instance", url=~"$url"}',
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legendFormat='{{cluster}}:{{instance}} {{remote_name}}:{{url}}'
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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=~"$instance", url=~"$url"}',
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legendFormat='{{cluster}}:{{instance}} {{remote_name}}:{{url}}'
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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=~"$instance", url=~"$url"}',
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legendFormat='{{cluster}}:{{instance}} {{remote_name}}:{{url}}'
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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=~"$instance", url=~"$url"} or prometheus_remote_storage_samples_pending{cluster=~"$cluster", instance=~"$instance", url=~"$url"}',
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legendFormat='{{cluster}}:{{instance}} {{remote_name}}:{{url}}'
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));
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local walSegment =
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graphPanel.new(
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'TSDB Current Segment',
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datasource='$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=~"$instance"}',
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legendFormat='{{cluster}}:{{instance}} {{consumer}}'
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));
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local droppedSamples =
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graphPanel.new(
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'Dropped Samples',
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datasource='$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", url=~"$url"}[5m]) or rate(prometheus_remote_storage_samples_dropped_total{cluster=~"$cluster", instance=~"$instance", url=~"$url"}[5m])',
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legendFormat='{{cluster}}:{{instance}} {{remote_name}}:{{url}}'
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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=~"$instance", url=~"$url"}[5m]) or rate(prometheus_remote_storage_samples_failed_total{cluster=~"$cluster", instance=~"$instance", url=~"$url"}[5m])',
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legendFormat='{{cluster}}:{{instance}} {{remote_name}}:{{url}}'
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));
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local retriedSamples =
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graphPanel.new(
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'Retried Samples',
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datasource='$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", url=~"$url"}[5m]) or rate(prometheus_remote_storage_samples_retried_total{cluster=~"$cluster", instance=~"$instance", url=~"$url"}[5m])',
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legendFormat='{{cluster}}:{{instance}} {{remote_name}}:{{url}}'
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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=~"$instance", url=~"$url"}[5m])',
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legendFormat='{{cluster}}:{{instance}} {{remote_name}}:{{url}}'
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));
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dashboard.new(
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title='%(prefix)sRemote Write' % $._config.grafanaPrometheus,
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editable=true
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)
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.addTemplate(
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{
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hide: 0,
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label: null,
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name: 'datasource',
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options: [],
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query: 'prometheus',
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refresh: 1,
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regex: '',
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type: 'datasource',
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},
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)
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.addTemplate(
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template.new(
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'cluster',
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'$datasource',
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'label_values(prometheus_build_info, 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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'instance',
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'$datasource',
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'label_values(prometheus_build_info{cluster=~"$cluster"}, 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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'url',
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'$datasource',
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'label_values(prometheus_remote_storage_shards{cluster=~"$cluster", instance=~"$instance"}, url)' % $._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(
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'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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tags: $._config.grafanaPrometheus.tags,
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refresh: $._config.grafanaPrometheus.refresh,
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},
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},
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}
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