2018-08-07 05:14:00 -07:00
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local g = import 'grafana-builder/grafana.libsonnet';
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{
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2019-07-11 06:30:57 -07:00
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grafanaDashboards+:: {
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2018-08-07 05:14:00 -07:00
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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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2019-06-26 14:22:16 -07:00
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version: { alias: 'Version' },
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2018-08-07 05:14:00 -07:00
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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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2019-06-26 14:22:16 -07:00
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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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2018-08-07 05:14:00 -07:00
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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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2019-06-26 14:22:16 -07:00
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g.queryPanel('sum(prometheus_sd_discovered_targets{job=~"$job",instance=~"$instance"})', 'Targets') +
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2018-08-07 05:14:00 -07:00
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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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2019-06-26 14:22:16 -07:00
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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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2018-08-07 05:14:00 -07:00
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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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2019-06-26 14:22:16 -07:00
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g.queryPanel('rate(prometheus_tsdb_head_samples_appended_total{job=~"$job",instance=~"$instance"}[5m])', '{{job}} {{instance}}') +
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2018-08-07 05:14:00 -07:00
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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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2019-06-26 14:22:16 -07:00
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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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2018-08-07 05:14:00 -07:00
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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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2019-06-17 15:02:42 -07:00
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),
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2019-06-26 07:23:09 -07:00
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// Remote write specific dashboard.
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2019-06-17 15:02:42 -07:00
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'prometheus-remote-write.json':
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g.dashboard('Prometheus Remote Write')
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2019-06-26 07:23:09 -07:00
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.addMultiTemplate('instance', 'prometheus_build_info', 'instance')
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.addMultiTemplate('cluster', 'kube_pod_container_info{image=~".*prometheus.*"}', 'cluster')
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.addRow(
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g.row('Timestamps')
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.addPanel(
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g.panel('Highest Timestamp In vs. Highest Timestamp Sent') +
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g.queryPanel('prometheus_remote_storage_highest_timestamp_in_seconds{cluster=~"$cluster", instance=~"$instance"} - ignoring(queue) group_right(instance) prometheus_remote_storage_queue_highest_sent_timestamp_seconds{cluster=~"$cluster", instance=~"$instance"}', '{{cluster}}:{{instance}}-{{queue}}') +
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{ yaxes: g.yaxes('s') }
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)
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.addPanel(
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g.panel('Rate[5m]') +
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g.queryPanel('rate(prometheus_remote_storage_highest_timestamp_in_seconds{cluster=~"$cluster", instance=~"$instance"}[5m]) - ignoring (queue) group_right(instance) rate(prometheus_remote_storage_queue_highest_sent_timestamp_seconds{cluster=~"$cluster", instance=~"$instance"}[5m])', '{{cluster}}:{{instance}}-{{queue}}')
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)
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)
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.addRow(
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g.row('Samples')
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.addPanel(
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g.panel('Rate, in vs. succeeded or dropped [5m]') +
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g.queryPanel('rate(prometheus_remote_storage_samples_in_total{cluster=~"$cluster", instance=~"$instance"}[5m])- ignoring(queue) group_right(instance) rate(prometheus_remote_storage_succeeded_samples_total{cluster=~"$cluster", instance=~"$instance"}[5m]) - rate(prometheus_remote_storage_dropped_samples_total{cluster=~"$cluster", instance=~"$instance"}[5m])', '{{cluster}}:{{instance}}-{{queue}}')
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)
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)
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.addRow(
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2019-10-09 09:59:02 -07:00
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g.row('Shards Overview')
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2019-06-26 07:23:09 -07:00
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.addPanel(
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g.panel('Num. Shards') +
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g.queryPanel('prometheus_remote_storage_shards{cluster=~"$cluster", instance=~"$instance"}', '{{cluster}}:{{instance}}-{{queue}}')
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)
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2019-10-09 09:59:02 -07:00
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.addPanel(
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g.panel('Desired Shards') +
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g.queryPanel('prometheus_remote_storage_shards_desired{cluster=~"$cluster", instance=~"$instance"}', '{{cluster}}:{{instance}}-{{queue}}')
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)
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)
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.addRow(
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g.row('Shards Details')
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2019-06-26 07:23:09 -07:00
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.addPanel(
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g.panel('Capacity') +
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g.queryPanel('prometheus_remote_storage_shard_capacity{cluster=~"$cluster", instance=~"$instance"}', '{{cluster}}:{{instance}}-{{queue}}')
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2019-10-09 09:59:02 -07:00
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)
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.addPanel(
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g.panel('Min Shards') +
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g.queryPanel('prometheus_remote_storage_shards_min{cluster=~"$cluster", instance=~"$instance"}', '{{cluster}}:{{instance}}-{{queue}}')
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)
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.addPanel(
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g.panel('Max Shards') +
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g.queryPanel('prometheus_remote_storage_shards_max{cluster=~"$cluster", instance=~"$instance"}', '{{cluster}}:{{instance}}-{{queue}}')
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)
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)
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.addRow(
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g.row('WAL Segments')
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.addPanel(
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g.panel('TSDB Current Segment') +
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g.queryPanel('prometheus_tsdb_wal_segment_current{cluster=~"$cluster", instance=~"$instance"}', '{{cluster}}:{{instance}}')
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)
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.addPanel(
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g.panel('Remote Write Current Segment') +
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g.queryPanel('prometheus_wal_watcher_current_segment{cluster=~"$cluster", instance=~"$instance"}', '{{cluster}}:{{instance}}-{{queue}}')
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2019-06-26 07:23:09 -07:00
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)
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)
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.addRow(
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g.row('Misc Rates.')
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.addPanel(
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g.panel('Dropped Samples') +
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g.queryPanel('rate(prometheus_remote_storage_dropped_samples_total{cluster=~"$cluster", instance=~"$instance"}[5m])', '{{cluster}}:{{instance}}-{{queue}}')
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)
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.addPanel(
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g.panel('Failed Samples') +
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g.queryPanel('rate(prometheus_remote_storage_failed_samples_total{cluster=~"$cluster", instance=~"$instance"}[5m])', '{{cluster}}:{{instance}}-{{queue}}')
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)
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.addPanel(
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g.panel('Retried Samples') +
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g.queryPanel('rate(prometheus_remote_storage_retried_samples_total{cluster=~"$cluster", instance=~"$instance"}[5m])', '{{cluster}}:{{instance}}-{{queue}}')
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)
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.addPanel(
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g.panel('Enqueue Retries') +
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g.queryPanel('rate(prometheus_remote_storage_enqueue_retries_total{cluster=~"$cluster", instance=~"$instance"}[5m])', '{{cluster}}:{{instance}}-{{queue}}')
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)
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),
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},
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2018-08-07 05:14:00 -07:00
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}
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