mirror of
https://github.com/prometheus/prometheus.git
synced 2024-12-29 07:29:42 -08:00
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" . }}
|
|
|
|
{{ template "prom_right_table_head" }}
|
|
{{ template "prom_right_table_job_head" "cassandra" }}
|
|
<tr>
|
|
<td>Queries</td>
|
|
<td>{{ template "prom_query_drilldown" (args "sum by (job)(irate(cassandra_clientrequest_latency{job='cassandra'}[5m]))" "/s" "humanizeNoSmallPrefix") }}</td>
|
|
</tr>
|
|
<tr>
|
|
<td>Timeout Ratio</td>
|
|
<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>
|
|
</tr>
|
|
<tr>
|
|
<td>Unavailable Ratio</td>
|
|
<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>
|
|
</tr>
|
|
<tr><th colspan="2">Internals</th></tr>
|
|
<tr>
|
|
<td>Hints Inprogress</td>
|
|
<td>{{ template "prom_query_drilldown" (args "sum by (job)(cassandra_storage_totalhintsinprogress{job='cassandra'})" "" "humanize") }}</td>
|
|
</tr>
|
|
<tr>
|
|
<td>Blocked Tasks</td>
|
|
<td>{{ template "prom_query_drilldown" (args "sum by (job)(cassandra_threadpools_currentlyblockedtasks{job='cassandra'})" "" "humanize") }}</td>
|
|
</tr>
|
|
<tr><th colspan="2">Average Node Disk</th></tr>
|
|
<tr>
|
|
<td>Compacted</td>
|
|
<td>{{ template "prom_query_drilldown" (args "avg by (job)(irate(cassandra_compaction_bytescompacted{job='cassandra'}[5m]))" "B/s" "humanize1024") }}</td>
|
|
</tr>
|
|
<tr>
|
|
<td>Live CF</td>
|
|
<td>{{ template "prom_query_drilldown" (args "avg by (job)(sum by (job, instance)(cassandra_columnfamily_totaldiskspaceused{job='cassandra'}))" "B" "humanize1024") }}</td>
|
|
</tr>
|
|
<tr>
|
|
<td>Total CF</td>
|
|
<td>{{ template "prom_query_drilldown" (args "avg by (job)(sum by (job, instance)(cassandra_columnfamily_totaldiskspaceused{job='cassandra'}))" "B" "humanize1024") }}</td>
|
|
</tr>
|
|
<tr>
|
|
<td>Commit Log</td>
|
|
<td>{{ template "prom_query_drilldown" (args "avg by (job)(cassandra_commitlog_totalcommitlogsize{job='cassandra'})" "B" "humanize1024") }}</td>
|
|
</tr>
|
|
{{ template "prom_right_table_tail" }}
|
|
|
|
{{ template "prom_content_head" .}}
|
|
<h1>Cassandra</h1>
|
|
|
|
<h3>Client Queries</h3>
|
|
<div id="queryGraph"></div>
|
|
<script>
|
|
new PromConsole.Graph({
|
|
node: document.querySelector("#queryGraph"),
|
|
expr: "sum by (job, clientrequest)(irate(cassandra_clientrequest_latency{job='cassandra'}[5m]))",
|
|
name: "[[clientrequest]]",
|
|
yAxisFormatter: PromConsole.NumberFormatter.humanizeNoSmallPrefix,
|
|
yHoverFormatter: PromConsole.NumberFormatter.humanizeNoSmallPrefix,
|
|
yUnits: "/s",
|
|
yTitle: "Queries"
|
|
})
|
|
</script>
|
|
|
|
<h3>Client Latency</h3>
|
|
<div id="latencyGraph"></div>
|
|
<script>
|
|
new PromConsole.Graph({
|
|
node: document.querySelector("#latencyGraph"),
|
|
expr: "sum by (job, clientrequest)(irate(cassandra_clientrequest_totallatency{job='cassandra'}[5m])) / sum by (job, clientrequest)(rate(cassandra_clientrequest_latency{job='cassandra'}[5m])) / 1000000",
|
|
name: "[[clientrequest]]",
|
|
yAxisFormatter: PromConsole.NumberFormatter.humanize,
|
|
yHoverFormatter: PromConsole.NumberFormatter.humanize,
|
|
yUnits: "s",
|
|
yTitle: "Latency"
|
|
})
|
|
</script>
|
|
{{ template "prom_content_tail" . }}
|
|
|
|
{{ template "tail" }}
|