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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.
77 lines
3.4 KiB
HTML
77 lines
3.4 KiB
HTML
{{ template "head" . }}
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{{ template "prom_right_table_head" }}
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<th colspan="2">Disks</th>
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</tr>
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{{ range printf "node_disk_io_time_ms{job='node',instance='%s'}" .Params.instance | query | sortByLabel "device" }}
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<th colspan="2">{{ .Labels.device }}</th>
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<tr>
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<td>Utilization</td>
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<td>{{ template "prom_query_drilldown" (args (printf "irate(node_disk_io_time_ms{job='node',instance='%s',device='%s'}[5m]) / 1000 * 100" .Labels.instance .Labels.device) "%" "printf.1f") }}</td>
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</tr>
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<tr>
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<td>Throughput</td>
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<td>{{ template "prom_query_drilldown" (args (printf "irate(node_disk_sectors_read{job='node',instance='%s',device='%s'}[5m]) * 512 + rate(node_disk_sectors_written{job='node',instance='%s',device='%s'}[5m]) * 512" .Labels.instance .Labels.device .Labels.instance .Labels.device) "B/s" "humanize") }}</td>
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</tr>
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<tr>
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<td>Avg Read Time</td>
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<td>{{ template "prom_query_drilldown" (args (printf "irate(node_disk_read_time_ms{job='node',instance='%s',device='%s'}[5m]) / 1000 / rate(node_disk_reads_completed{job='node',instance='%s',device='%s'}[5m])" .Labels.instance .Labels.device .Labels.instance .Labels.device) "s" "humanize") }}</td>
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</tr>
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<tr>
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<td>Avg Write Time</td>
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<td>{{ template "prom_query_drilldown" (args (printf "irate(node_disk_write_time_ms{job='node',instance='%s',device='%s'}[5m]) / 1000 / rate(node_disk_writes_completed{job='node',instance='%s',device='%s'}[5m])" .Labels.instance .Labels.device .Labels.instance .Labels.device) "s" "humanize") }}</td>
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</tr>
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{{ end }}
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<th colspan="2">Filesystem Fullness</th>
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</tr>
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{{ define "roughlyNearZero" }}
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{{ if gt .1 . }}~0{{ else }}{{ printf "%.1f" . }}{{ end }}
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{{ end }}
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{{ range printf "node_filesystem_size{job='node',instance='%s'}" .Params.instance | query | sortByLabel "mountpoint" }}
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<tr>
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<td>{{ .Labels.mountpoint }}</td>
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<td>{{ template "prom_query_drilldown" (args (printf "100 - node_filesystem_free{job='node',instance='%s',mountpoint='%s'} / node_filesystem_size{job='node'} * 100" .Labels.instance .Labels.mountpoint) "%" "roughlyNearZero") }}</td>
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</tr>
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{{ end }}
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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 Disk - {{ reReplaceAll "(.*?://)([^:/]+?)(:\\d+)?/.*" "$2" .Params.instance }}</h1>
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<h3>Disk I/O Utilization</h3>
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<div id="diskioGraph"></div>
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<script>
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new PromConsole.Graph({
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node: document.querySelector("#diskioGraph"),
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expr: [
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"irate(node_disk_io_time_ms{job='node',instance='{{ .Params.instance }}',device!~'^(md\\d+$|dm-)'}[5m]) / 1000 * 100",
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],
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min: 0,
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name: '[[ device ]]',
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yUnits: "%",
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yAxisFormatter: PromConsole.NumberFormatter.humanizeNoSmallPrefix,
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yHoverFormatter: PromConsole.NumberFormatter.humanizeNoSmallPrefix,
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yTitle: 'Disk I/O Utilization'
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})
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</script>
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<h3>Filesystem Usage</h3>
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<div id="fsGraph"></div>
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<script>
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new PromConsole.Graph({
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node: document.querySelector("#fsGraph"),
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expr: "100 - node_filesystem_free{job='node',instance='{{ .Params.instance }}'} / node_filesystem_size{job='node'} * 100",
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min: 0,
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max: 100,
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name: '[[ mountpoint ]]',
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yUnits: "%",
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yAxisFormatter: PromConsole.NumberFormatter.humanizeNoSmallPrefix,
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yHoverFormatter: PromConsole.NumberFormatter.humanizeNoSmallPrefix,
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yTitle: 'Filesystem Fullness'
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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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