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f08abdb48b
irate is a rate function that only looks at the most recent two data points, and calucaltes a per-second value from that. This produces much more granular graphs for fast moving data, and works sanely across many scrape intervals. It doesn't do so well for slowly moving data.
126 lines
5.4 KiB
HTML
126 lines
5.4 KiB
HTML
{{ template "head" . }}
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{{ template "prom_right_table_head" }}
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<tr>
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<th colspan="2">Overview</th>
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</tr>
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<tr>
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<td>CPU</td>
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<td>{{ template "prom_query_drilldown" (args (printf "irate(process_cpu_seconds_total{job='prometheus',instance='%s'}[5m])" .Params.instance) "s/s" "humanizeNoSmallPrefix") }}</td>
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</tr>
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<tr>
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<td>Memory</td>
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<td>{{ template "prom_query_drilldown" (args (printf "process_resident_memory_bytes{job='prometheus',instance='%s'}" .Params.instance) "B" "humanize1024") }}</td>
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</tr>
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<tr>
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<td>Version</td>
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<td>{{ with query (printf "prometheus_build_info{job='prometheus',instance='%s'}" .Params.instance) }}{{. | first | label "version"}}{{end}}</td>
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</tr>
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<tr>
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<th colspan="2">Storage</th>
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</tr>
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<tr>
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<td>Ingested Samples</td>
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<td>{{ template "prom_query_drilldown" (args (printf "irate(prometheus_local_storage_ingested_samples_total{job='prometheus',instance='%s'}[5m])" .Params.instance) "/s" "humanizeNoSmallPrefix") }}</td>
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</tr>
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<tr>
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<td>Time Series</td>
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<td>{{ template "prom_query_drilldown" (args (printf "prometheus_local_storage_memory_series{job='prometheus',instance='%s'}" .Params.instance) "" "humanize") }}</td>
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</tr>
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<tr>
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<td>Indexing Queue</td>
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<td>{{ template "prom_query_drilldown" (args (printf "prometheus_local_storage_indexing_queue_length{job='prometheus',instance='%s'}" .Params.instance) "" "humanize") }}</td>
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</tr>
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<tr>
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<td>Chunks</td>
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<td>{{ template "prom_query_drilldown" (args (printf "prometheus_local_storage_memory_chunks{job='prometheus',instance='%s'}" .Params.instance) "" "humanize") }}</td>
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</tr>
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<tr>
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<td>Chunk Descriptors</td>
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<td>{{ template "prom_query_drilldown" (args (printf "prometheus_local_storage_memory_chunkdescs{job='prometheus',instance='%s'}" .Params.instance) "" "humanize") }}</td>
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</tr>
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<tr>
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<td>Chunks To Persist</td>
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<td>{{ template "prom_query_drilldown" (args (printf "prometheus_local_storage_chunks_to_persist{job='prometheus',instance='%s'}" .Params.instance) "" "humanize") }}</td>
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</tr>
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<tr>
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<td>Checkpoint Duration</td>
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<td>{{ template "prom_query_drilldown" (args (printf "prometheus_local_storage_checkpoint_duration_milliseconds{job='prometheus',instance='%s'} / 1000" .Params.instance) "" "humanizeDuration") }}</td>
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</tr>
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<tr>
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<th colspan="2">Rules</th>
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</tr>
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<tr>
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<td>Evaluation Duration</td>
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<td>{{ template "prom_query_drilldown" (args (printf "irate(prometheus_evaluator_duration_milliseconds_sum{job='prometheus',instance='%s'}[5m]) / rate(prometheus_evaluator_duration_milliseconds_count{job='prometheus',instance='%s'}[5m]) / 1000" .Params.instance .Params.instance) "" "humanizeDuration") }}</td>
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</tr>
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<tr>
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<td>Notification Latency</td>
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<td>{{ template "prom_query_drilldown" (args (printf "irate(prometheus_notifications_latency_milliseconds_sum{job='prometheus',instance='%s'}[5m]) / rate(prometheus_notifications_latency_milliseconds_count{job='prometheus',instance='%s'}[5m]) / 1000" .Params.instance .Params.instance) "" "humanizeDuration") }}</td>
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</tr>
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<tr>
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<td>Notification Queue</td>
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<td>{{ template "prom_query_drilldown" (args (printf "prometheus_notifications_queue_length{job='prometheus',instance='%s'}" .Params.instance) "" "humanize") }}</td>
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</tr>
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<tr>
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<th colspan="2">HTTP Server</th>
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</tr>
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{{ range printf "http_request_duration_microseconds_count{job='prometheus',instance='%s',handler=~'^(query.*|federate|consoles)$'}" .Params.instance | query | sortByLabel "handler" }}
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<tr>
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<td>{{ .Labels.handler }}</td>
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<td>{{ template "prom_query_drilldown" (args (printf "irate(http_request_duration_microseconds_count{job='prometheus',instance='%s',handler='%s'}[5m])" .Labels.instance .Labels.handler) "/s" "humanizeNoSmallPrefix") }}</td>
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</tr>
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{{ end }}
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{{ template "prom_right_table_tail" }}
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{{ template "prom_content_head" . }}
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<h1>Prometheus Overview - {{ .Params.instance }}</h1>
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<h3>Ingested Samples</h3>
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<div id="samplesGraph"></div>
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<script>
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new PromConsole.Graph({
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node: document.querySelector("#samplesGraph"),
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expr: "irate(prometheus_local_storage_ingested_samples_total{job='prometheus',instance='{{ .Params.instance }}'}[5m])",
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name: 'Ingested Samples',
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yAxisFormatter: PromConsole.NumberFormatter.humanizeNoSmallPrefix,
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yHoverFormatter: PromConsole.NumberFormatter.humanizeNoSmallPrefix,
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yTitle: "Samples",
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yUnits: "/s",
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})
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</script>
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<h3>Time Series</h3>
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<div id="seriesGraph"></div>
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<script>
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new PromConsole.Graph({
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node: document.querySelector("#seriesGraph"),
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expr: "prometheus_local_storage_memory_series{job='prometheus',instance='{{ .Params.instance }}'}",
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name: 'Time Series',
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yAxisFormatter: PromConsole.NumberFormatter.humanizeNoSmallPrefix,
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yHoverFormatter: PromConsole.NumberFormatter.humanizeNoSmallPrefix,
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yTitle: "Time Series",
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})
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</script>
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<h3>HTTP Server</h3>
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<div id="serverGraph"></div>
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<script>
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new PromConsole.Graph({
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node: document.querySelector("#serverGraph"),
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expr: "irate(http_request_duration_microseconds_count{job='prometheus',instance='{{ .Params.instance }}',handler=~'^(query.*|federate|consoles)$'}[5m])",
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name: '[[handler]]',
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yAxisFormatter: PromConsole.NumberFormatter.humanizeNoSmallPrefix,
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yHoverFormatter: PromConsole.NumberFormatter.humanizeNoSmallPrefix,
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yTitle: "Requests",
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yUnits: "/s",
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})
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</script>
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{{ template "prom_content_tail" . }}
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{{ template "tail" }}
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