AlarmProps

class aws_cdk.aws_cloudwatch.AlarmProps(*, evaluation_periods, threshold, actions_enabled=None, alarm_description=None, alarm_name=None, comparison_operator=None, datapoints_to_alarm=None, evaluate_low_sample_count_percentile=None, period=None, statistic=None, treat_missing_data=None, metric)

Bases: aws_cdk.aws_cloudwatch.CreateAlarmOptions

__init__(*, evaluation_periods, threshold, actions_enabled=None, alarm_description=None, alarm_name=None, comparison_operator=None, datapoints_to_alarm=None, evaluate_low_sample_count_percentile=None, period=None, statistic=None, treat_missing_data=None, metric)

Properties for Alarms.

Parameters

  • evaluation_periods (Union[int, float]) – The number of periods over which data is compared to the specified threshold.

  • threshold (Union[int, float]) – The value against which the specified statistic is compared.

  • actions_enabled (Optional[bool]) – Whether the actions for this alarm are enabled. Default: true

  • alarm_description (Optional[str]) – Description for the alarm. Default: No description

  • alarm_name (Optional[str]) – Name of the alarm. Default: Automatically generated name

  • comparison_operator (Optional[ComparisonOperator]) – Comparison to use to check if metric is breaching. Default: GreaterThanOrEqualToThreshold

  • datapoints_to_alarm (Union[int, float, None]) – 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

  • evaluate_low_sample_count_percentile (Optional[str]) – 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.

  • period (Optional[Duration]) – The period over which the specified statistic is applied. Default: Duration.minutes(5)

  • statistic (Optional[str]) – What function to use for aggregating. Can be one of the following: - “Minimum” | “min” - “Maximum” | “max” - “Average” | “avg” - “Sum” | “sum” - “SampleCount | “n” - “pNN.NN” Default: Average

  • treat_missing_data (Optional[TreatMissingData]) – Sets how this alarm is to handle missing data points. Default: TreatMissingData.Missing

  • metric (IMetric) – 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.

Attributes

actions_enabled

Whether the actions for this alarm are enabled.

default :default: true

Return type

Optional[bool]

alarm_description

Description for the alarm.

default :default: No description

Return type

Optional[str]

alarm_name

Name of the alarm.

default :default: Automatically generated name

Return type

Optional[str]

comparison_operator

Comparison to use to check if metric is breaching.

default :default: GreaterThanOrEqualToThreshold

Return type

Optional[ComparisonOperator]

datapoints_to_alarm

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 :default: evaluationPeriods

see :see: https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/AlarmThatSendsEmail.html#alarm-evaluation

Return type

Union[int, float, None]

evaluate_low_sample_count_percentile

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 :default: - Not configured.

Return type

Optional[str]

evaluation_periods

The number of periods over which data is compared to the specified threshold.

Return type

Union[int, float]

metric

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.

Return type

IMetric

period

The period over which the specified statistic is applied.

default :default: Duration.minutes(5)

Return type

Optional[Duration]

statistic

What function to use for aggregating.

Can be one of the following:

  • “Minimum” | “min”

  • “Maximum” | “max”

  • “Average” | “avg”

  • “Sum” | “sum”

  • “SampleCount | “n”

  • “pNN.NN”

default :default: Average

Return type

Optional[str]

threshold

The value against which the specified statistic is compared.

Return type

Union[int, float]

treat_missing_data

Sets how this alarm is to handle missing data points.

default :default: TreatMissingData.Missing

Return type

Optional[TreatMissingData]