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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.
78 lines
3.2 KiB
HTML
78 lines
3.2 KiB
HTML
{{ template "head" . }}
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{{ template "prom_right_table_head" }}
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{{ template "prom_right_table_job_head" "cassandra" }}
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<tr>
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<td>Queries</td>
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<td>{{ template "prom_query_drilldown" (args "sum by (job)(irate(cassandra_clientrequest_latency{job='cassandra'}[5m]))" "/s" "humanizeNoSmallPrefix") }}</td>
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</tr>
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<tr>
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<td>Timeout Ratio</td>
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<td>{{ template "prom_query_drilldown" (args "sum by (job)(irate(cassandra_clientrequest_timeouts{job='cassandra'}[5m])) / sum by (job)(rate(cassandra_clientrequest_latency{job='cassandra'}[5m]))" "" "humanizeNoSmallPrefix") }}</td>
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</tr>
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<tr>
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<td>Unavailable Ratio</td>
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<td>{{ template "prom_query_drilldown" (args "sum by (job)(irate(cassandra_clientrequest_unavailables{job='cassandra'}[5m])) / sum by (job)(rate(cassandra_clientrequest_latency{job='cassandra'}[5m]))" "" "humanizeNoSmallPrefix") }}</td>
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</tr>
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<tr><th colspan="2">Internals</th></tr>
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<tr>
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<td>Hints Inprogress</td>
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<td>{{ template "prom_query_drilldown" (args "sum by (job)(cassandra_storage_totalhintsinprogress{job='cassandra'})" "" "humanize") }}</td>
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</tr>
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<tr>
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<td>Blocked Tasks</td>
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<td>{{ template "prom_query_drilldown" (args "sum by (job)(cassandra_threadpools_currentlyblockedtasks{job='cassandra'})" "" "humanize") }}</td>
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</tr>
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<tr><th colspan="2">Average Node Disk</th></tr>
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<tr>
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<td>Compacted</td>
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<td>{{ template "prom_query_drilldown" (args "avg by (job)(irate(cassandra_compaction_bytescompacted{job='cassandra'}[5m]))" "B/s" "humanize1024") }}</td>
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</tr>
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<tr>
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<td>Live CF</td>
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<td>{{ template "prom_query_drilldown" (args "avg by (job)(sum by (job, instance)(cassandra_columnfamily_totaldiskspaceused{job='cassandra'}))" "B" "humanize1024") }}</td>
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</tr>
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<tr>
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<td>Total CF</td>
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<td>{{ template "prom_query_drilldown" (args "avg by (job)(sum by (job, instance)(cassandra_columnfamily_totaldiskspaceused{job='cassandra'}))" "B" "humanize1024") }}</td>
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</tr>
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<tr>
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<td>Commit Log</td>
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<td>{{ template "prom_query_drilldown" (args "avg by (job)(cassandra_commitlog_totalcommitlogsize{job='cassandra'})" "B" "humanize1024") }}</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>Cassandra</h1>
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<h3>Client Queries</h3>
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<div id="queryGraph"></div>
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<script>
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new PromConsole.Graph({
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node: document.querySelector("#queryGraph"),
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expr: "sum by (job, clientrequest)(irate(cassandra_clientrequest_latency{job='cassandra'}[5m]))",
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name: "[[clientrequest]]",
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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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yTitle: "Queries"
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})
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</script>
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<h3>Client Latency</h3>
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<div id="latencyGraph"></div>
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<script>
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new PromConsole.Graph({
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node: document.querySelector("#latencyGraph"),
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expr: "sum by (job, clientrequest)(irate(cassandra_clientrequest_totallatency{job='cassandra'}[5m])) / sum by (job, clientrequest)(rate(cassandra_clientrequest_latency{job='cassandra'}[5m])) / 1000000",
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name: "[[clientrequest]]",
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yAxisFormatter: PromConsole.NumberFormatter.humanize,
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yHoverFormatter: PromConsole.NumberFormatter.humanize,
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yUnits: "s",
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yTitle: "Latency"
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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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