59 lines
1.9 KiB
Nix
59 lines
1.9 KiB
Nix
{ lib, pkgs, config, ... }:
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{
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grafanaAlertRuleDefinitions = [
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{
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uid = "high-cpu-usage-alert-uid";
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title = "HighCPUUsage";
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condition = "D"; # Condition is now D
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data = [
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# Query A: Calculate CPU usage percentage
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{
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refId = "A";
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datasourceUid = "vm-datasource-uid";
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queryType = "prometheus";
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relativeTimeRange = { from = 60; to = 0; }; # Query over the last minute
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model = {
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# Calculate average CPU usage over 1m, grouped by instance and job
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expr = ''(1 - avg by (instance, job) (rate(node_cpu_seconds_total{mode="idle"}[1m]))) * 100'';
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legendFormat = "CPU usage on {{instance}} ({{job}})";
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instant = false; # This is a range query
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};
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}
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# Expression C: Reduce Query A to its last value, preserving labels
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{
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refId = "C";
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datasourceUid = "__expr__";
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model = {
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type = "reduce";
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expression = "A"; # Input is Query A
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reducer = "last"; # Get the last value of each series in A
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};
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}
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# Expression D: Apply math condition to the reduced values from C
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{
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refId = "D";
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datasourceUid = "__expr__";
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model = {
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type = "math";
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expression = "$C > 90"; # Alert if CPU usage from C is > 90%
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};
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}
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];
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for = "5m"; # Duration the condition must be met
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noDataState = "NoData";
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execErrState = "Error";
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annotations = {
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summary = "High CPU usage on {{ $labels.instance }}";
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description = ''CPU usage on {{ $labels.instance }} (job: {{ $labels.job }}) has been above 90% for more than 5 minutes. Current value: {{ if $values.C }}{{ $values.C | humanizePercentage }}{{ else }}N/A{{ end }}%.'';
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};
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labels = {
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severity = "warning";
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category = "performance";
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};
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}
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];
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}
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