Interface AnomalyDetectionAlarmProps
- All Superinterfaces:
software.amazon.jsii.JsiiSerializable
- All Known Implementing Classes:
AnomalyDetectionAlarmProps.Jsii$Proxy
Example:
// Create a metric
Metric metric = Metric.Builder.create()
.namespace("AWS/EC2")
.metricName("CPUUtilization")
.statistic("Average")
.period(Duration.hours(1))
.build();
// Create an anomaly detection alarm
AnomalyDetectionAlarm alarm = AnomalyDetectionAlarm.Builder.create(this, "AnomalyAlarm")
.metric(metric)
.evaluationPeriods(1)
// Number of standard deviations for the band (default: 2)
.stdDevs(2)
// Alarm outside on either side of the band, or just below or above it (default: outside)
.comparisonOperator(ComparisonOperator.LESS_THAN_LOWER_OR_GREATER_THAN_UPPER_THRESHOLD)
.alarmDescription("Alarm when metric is outside the expected band")
.build();
-
Nested Class Summary
Nested ClassesModifier and TypeInterfaceDescriptionstatic final classA builder forAnomalyDetectionAlarmPropsstatic final classAn implementation forAnomalyDetectionAlarmProps -
Method Summary
Modifier and TypeMethodDescriptionbuilder()default BooleanWhether the actions for this alarm are enabled.default StringDescription for the alarm.default StringName of the alarm.default ComparisonOperatorComparison operator to use to check if metric is breaching.default NumberThe number of datapoints that must be breaching to trigger the alarm.default StringSpecifies whether to evaluate the data and potentially change the alarm state if there are too few data points to be statistically significant.The number of periods over which data is compared to the specified threshold.The metric to add the alarm on.default DurationDeprecated.default StringDeprecated.Usemetric.with({ statistic: ...default NumberThe number of standard deviations to use for the anomaly detection band.default TreatMissingDataSets how this alarm is to handle missing data points.Methods inherited from interface software.amazon.jsii.JsiiSerializable
$jsii$toJson
-
Method Details
-
getEvaluationPeriods
The number of periods over which data is compared to the specified threshold. -
getMetric
The metric to add the alarm on.Metric objects can be obtained from most resources, or you can construct custom Metric objects by instantiating one.
-
getActionsEnabled
Whether the actions for this alarm are enabled.Default: true
-
getAlarmDescription
Description for the alarm.Default: No description
-
getAlarmName
Name of the alarm.Default: Automatically generated name
-
getComparisonOperator
Comparison operator to use to check if metric is breaching.Must be one of the anomaly detection operators:
- LESS_THAN_LOWER_OR_GREATER_THAN_UPPER_THRESHOLD
- GREATER_THAN_UPPER_THRESHOLD
- LESS_THAN_LOWER_THRESHOLD
Default: LESS_THAN_LOWER_OR_GREATER_THAN_UPPER_THRESHOLD
-
getDatapointsToAlarm
The number of datapoints that must be breaching to trigger the alarm.This is used only if you are setting an "M out of N" alarm. In that case, this value is the M. For more information, see Evaluating an Alarm in the Amazon CloudWatch User Guide.
Default: ``evaluationPeriods``
- See Also:
-
getEvaluateLowSampleCountPercentile
Specifies whether to evaluate the data and potentially change the alarm state if there are too few data points to be statistically significant.Used only for alarms that are based on percentiles.
Default: - Not configured.
-
getPeriod
Deprecated.Usemetric.with({ period: ... })to encode the period into the Metric object(deprecated) The period over which the specified statistic is applied.Cannot be used with
MathExpressionobjects.Default: - The period from the metric
-
getStatistic
Deprecated.Usemetric.with({ statistic: ... })to encode the period into the Metric object(deprecated) What function to use for aggregating.Can be one of the following:
- "Minimum" | "min"
- "Maximum" | "max"
- "Average" | "avg"
- "Sum" | "sum"
- "SampleCount | "n"
- "pNN.NN"
Cannot be used with
MathExpressionobjects.Default: - The statistic from the metric
-
getStdDevs
The number of standard deviations to use for the anomaly detection band.The higher the value, the wider the band.
- Must be greater than 0. A value of 0 or negative values would not make sense in the context of calculating standard deviations.
- There is no strict maximum value defined, as standard deviations can theoretically extend infinitely. However, in practice, values beyond 5 or 6 standard deviations are rarely used, as they would result in an extremely wide anomaly detection band, potentially missing significant anomalies.
Default: 2
-
getTreatMissingData
Sets how this alarm is to handle missing data points.Default: TreatMissingData.Missing
-
builder
- Returns:
- a
AnomalyDetectionAlarmProps.BuilderofAnomalyDetectionAlarmProps
-
metric.with({ period: ...