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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.
61 lines
2.5 KiB
HTML
61 lines
2.5 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">CPU(s): {{ template "prom_query_drilldown" (args (printf "scalar(count(count by (cpu)(node_cpu{job='node',instance='%s'})))" .Params.instance)) }}</th>
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</tr>
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{{ range printf "sum by (mode)(irate(node_cpu{job='node',instance='%s'}[5m])) * 100 / scalar(count(count by (cpu)(node_cpu{job='node',instance='%s'})))" .Params.instance .Params.instance | query | sortByLabel "mode" }}
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<tr>
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<td>{{ .Labels.mode | title }} CPU</td>
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<td>{{ .Value | printf "%.1f" }}%</td>
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</tr>
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{{ end }}
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<tr><th colspan="2">Misc</th></tr>
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<tr>
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<td>Processes Running</td>
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<td>{{ template "prom_query_drilldown" (args (printf "node_procs_running{job='node',instance='%s'}" .Params.instance) "" "humanize") }}</td>
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</tr>
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<tr>
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<td>Processes Blocked</td>
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<td>{{ template "prom_query_drilldown" (args (printf "node_procs_blocked{job='node',instance='%s'}" .Params.instance) "" "humanize") }}</td>
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</tr>
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<tr>
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<td>Forks</td>
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<td>{{ template "prom_query_drilldown" (args (printf "irate(node_forks{job='node',instance='%s'}[5m])" .Params.instance) "/s" "humanize") }}</td>
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</tr>
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<tr>
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<td>Context Switches</td>
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<td>{{ template "prom_query_drilldown" (args (printf "irate(node_context_switches{job='node',instance='%s'}[5m])" .Params.instance) "/s" "humanize") }}</td>
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</tr>
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<tr>
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<td>Interrupts</td>
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<td>{{ template "prom_query_drilldown" (args (printf "irate(node_intr{job='node',instance='%s'}[5m])" .Params.instance) "/s" "humanize") }}</td>
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</tr>
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<tr>
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<td>1m Loadavg</td>
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<td>{{ template "prom_query_drilldown" (args (printf "node_load1{job='node',instance='%s'}" .Params.instance)) }}</td>
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</tr>
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<tr>
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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>Node CPU - {{ reReplaceAll "(.*?://)([^:/]+?)(:\\d+)?/.*" "$2" .Params.instance }}</h1>
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<h3>CPU Usage</h3>
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<div id="cpuGraph"></div>
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<script>
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new PromConsole.Graph({
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node: document.querySelector("#cpuGraph"),
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expr: "sum by (mode)(irate(node_cpu{job='node',instance='{{ .Params.instance }}',mode!='idle'}[5m]))",
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renderer: 'area',
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max: {{ with printf "count(count by (cpu)(node_cpu{job='node',instance='%s'}))" .Params.instance | query }}{{ . | first | value }}{{ else}}undefined{{end}},
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yAxisFormatter: PromConsole.NumberFormatter.humanizeNoSmallPrefix,
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yHoverFormatter: PromConsole.NumberFormatter.humanizeNoSmallPrefix,
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yTitle: 'Cores'
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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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