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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.
59 lines
2.9 KiB
HTML
59 lines
2.9 KiB
HTML
{{ template "head" . }}
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{{ template "prom_right_table_head" }}
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<tr><th>{{ .Params.backend }}</th><th>{{ template "prom_query_drilldown" (args (printf "sum(min by (server)(haproxy_server_up{job='haproxy',backend='%s'}))" .Params.backend)) }} / {{ template "prom_query_drilldown" (args (printf "count(sum by (server)(haproxy_server_up{job='haproxy',backend='%s'}))" .Params.backend))}}</th></tr>
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<tr>
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<td>Responses</td>
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<td>{{ template "prom_query_drilldown" (args (printf "sum(irate(haproxy_backend_http_responses_total{job='haproxy',backend='%s'}[5m]))" .Params.backend) "/s" "humanizeNoSmallPrefix") }}</td>
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</tr>
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<tr>
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<td>Data In</td>
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<td>{{ template "prom_query_drilldown" (args (printf "sum(irate(haproxy_backend_bytes_in_total{job='haproxy',backend='%s'}[5m]))" .Params.backend) "B/s" "humanize") }}</td>
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</tr>
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<tr>
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<td>Data Out</td>
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<td>{{ template "prom_query_drilldown" (args (printf "sum(irate(haproxy_backend_bytes_out_total{job='haproxy',backend='%s'}[5m]))" .Params.backend) "B/s" "humanize") }}</td>
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</tr>
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<tr>
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<td>Current Sessions</td>
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<td>{{ template "prom_query_drilldown" (args (printf "sum(haproxy_backend_current_sessions{job='haproxy',backend='%s'})" .Params.backend) "" "humanize") }}</td>
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</tr>
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<tr>
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<td>Current Queue</td>
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<td>{{ template "prom_query_drilldown" (args (printf "sum(haproxy_backend_current_queue{job='haproxy',backend='%s'})" .Params.backend) "" "humanize") }}</td>
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</tr>
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<tr><th colspan="2">Server Errors</th></tr>
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<tr>
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<td>Connection Errors</td>
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<td>{{ template "prom_query_drilldown" (args (printf "sum(irate(haproxy_backend_connection_errors_total{job='haproxy',backend='%s'}[5m]))" .Params.backend) "/s" "humanizeNoSmallPrefix") }}</td>
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</tr>
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<tr>
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<td>Response Errors</td>
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<td>{{ template "prom_query_drilldown" (args (printf "sum(irate(haproxy_backend_connection_errors_total{job='haproxy',backend='%s'}[5m]))" .Params.backend) "/s" "humanizeNoSmallPrefix") }}</td>
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</tr>
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<tr>
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<td>Retry Warnings</td>
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<td>{{ template "prom_query_drilldown" (args (printf "sum(irate(haproxy_backend_retry_warnings_total{job='haproxy',backend='%s'}[5m]))" .Params.backend) "/s" "humanizeNoSmallPrefix") }}</td>
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</tr>
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{{ template "prom_right_table_tail" }}
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{{ template "prom_content_head" . }}
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<h1>HAProxy Backend - {{ .Params.backend }}</h1>
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<h3>Responses</h3>
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<div id="responsesGraph"></div>
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<script>
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new PromConsole.Graph({
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node: document.querySelector("#responsesGraph"),
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expr: "sum by (code)(irate(haproxy_backend_http_responses_total{job='haproxy',backend='{{ .Params.backend }}'}[5m]))",
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renderer: 'area',
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yTitle: 'Queries',
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yAxisFormatter: PromConsole.NumberFormatter.humanizeNoSmallPrefix,
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yHoverFormatter: PromConsole.NumberFormatter.humanizeNoSmallPrefix,
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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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