class Amazonite::CloudWatch::PutMetricAlarmInput

Included Modules

Defined in:

cloudwatch/put_metric_alarm_input.cr

Constructors

Instance Method Summary

Constructor Detail

def self.new(pull : JSON::PullParser) #

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def self.new(alarm_name : String, alarm_description : String | Nil = nil, actions_enabled : Bool | Nil = nil, ok_actions : Array(String) | Nil = nil, alarm_actions : Array(String) | Nil = nil, insufficient_data_actions : Array(String) | Nil = nil, metric_name : String | Nil = nil, namespace : String | Nil = nil, statistic : Statistic | Nil = nil, extended_statistic : String | Nil = nil, dimensions : Array(Dimension) | Nil = nil, period : Int32 | Nil = nil, unit : StandardUnit | Nil = nil, evaluation_periods : Int32 | Nil = nil, datapoints_to_alarm : Int32 | Nil = nil, threshold : Float64 | Nil = nil, comparison_operator : ComparisonOperator | Nil = nil, treat_missing_data : String | Nil = nil, evaluate_low_sample_count_percentile : String | Nil = nil, metrics : Array(MetricDataQuery) | Nil = nil, tags : Array(Tag) | Nil = nil, threshold_metric_id : String | Nil = nil, evaluation_window : EvaluationWindow | Nil = nil, warm_up_configuration : WarmUpConfiguration | Nil = nil, evaluation_criteria : EvaluationCriteria | Nil = nil, evaluation_interval : Int32 | Nil = nil) #

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Instance Method Detail

def ==(other : self) #
Description copied from class Reference

Returns true if this reference is the same as other. Invokes same?.


def actions_enabled : Bool | Nil #

Indicates whether actions should be executed during any changes to the alarm state. The default is TRUE.


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def actions_enabled=(actions_enabled : Bool | Nil) #

Indicates whether actions should be executed during any changes to the alarm state. The default is TRUE.


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def alarm_actions : Array(String) | Nil #

The actions to execute when this alarm transitions to the ALARM state from any other state. Each action is specified as an Amazon Resource Name (ARN). Valid values:

EC2 actions:

  • arn:aws:automate:*region*:ec2:stop

  • arn:aws:automate:*region*:ec2:terminate

  • arn:aws:automate:*region*:ec2:reboot

  • arn:aws:automate:*region*:ec2:recover

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Stop/1.0

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Terminate/1.0

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Reboot/1.0

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Recover/1.0

Autoscaling action:

arn:aws:autoscaling:*region*:*account-id*:scalingPolicy:*policy-id*:autoScalingGroupName/*group-friendly-name*:policyName/*policy-friendly-name*

Lambda actions:

  • Invoke the latest version of a Lambda function: arn:aws:lambda:*region*:*account-id*:function:*function-name*

  • Invoke a specific version of a Lambda function: arn:aws:lambda:*region*:*account-id*:function:*function-name*:*version-number*

  • Invoke a function by using an alias Lambda function: arn:aws:lambda:*region*:*account-id*:function:*function-name*:*alias-name*

SNS notification action:

  • arn:aws:sns:*region*:*account-id*:*sns-topic-name*

SSM integration actions:

  • arn:aws:ssm:*region*:*account-id*:opsitem:*severity*#CATEGORY=*category-name*

  • arn:aws:ssm-incidents::*account-id*:responseplan/*response-plan-name*

Start a Amazon Q Developer operational investigation

arn:aws:aiops:*region*:*account-id*:investigation-group:*investigation-group-id*


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def alarm_actions=(alarm_actions : Array(String) | Nil) #

The actions to execute when this alarm transitions to the ALARM state from any other state. Each action is specified as an Amazon Resource Name (ARN). Valid values:

EC2 actions:

  • arn:aws:automate:*region*:ec2:stop

  • arn:aws:automate:*region*:ec2:terminate

  • arn:aws:automate:*region*:ec2:reboot

  • arn:aws:automate:*region*:ec2:recover

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Stop/1.0

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Terminate/1.0

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Reboot/1.0

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Recover/1.0

Autoscaling action:

arn:aws:autoscaling:*region*:*account-id*:scalingPolicy:*policy-id*:autoScalingGroupName/*group-friendly-name*:policyName/*policy-friendly-name*

Lambda actions:

  • Invoke the latest version of a Lambda function: arn:aws:lambda:*region*:*account-id*:function:*function-name*

  • Invoke a specific version of a Lambda function: arn:aws:lambda:*region*:*account-id*:function:*function-name*:*version-number*

  • Invoke a function by using an alias Lambda function: arn:aws:lambda:*region*:*account-id*:function:*function-name*:*alias-name*

SNS notification action:

  • arn:aws:sns:*region*:*account-id*:*sns-topic-name*

SSM integration actions:

  • arn:aws:ssm:*region*:*account-id*:opsitem:*severity*#CATEGORY=*category-name*

  • arn:aws:ssm-incidents::*account-id*:responseplan/*response-plan-name*

Start a Amazon Q Developer operational investigation

arn:aws:aiops:*region*:*account-id*:investigation-group:*investigation-group-id*


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def alarm_description : String | Nil #

The description for the alarm.


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def alarm_description=(alarm_description : String | Nil) #

The description for the alarm.


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def alarm_name : String #

The name for the alarm. This name must be unique within the Region.

The name must contain only UTF-8 characters, and can't contain ASCII control characters


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def alarm_name=(alarm_name : String) #

The name for the alarm. This name must be unique within the Region.

The name must contain only UTF-8 characters, and can't contain ASCII control characters


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def comparison_operator : ComparisonOperator | Nil #

The arithmetic operation to use when comparing the specified statistic and threshold. The specified statistic value is used as the first operand.

The values LessThanLowerOrGreaterThanUpperThreshold, LessThanLowerThreshold, and GreaterThanUpperThreshold are used only for alarms based on anomaly detection models.


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def comparison_operator=(comparison_operator : ComparisonOperator | Nil) #

The arithmetic operation to use when comparing the specified statistic and threshold. The specified statistic value is used as the first operand.

The values LessThanLowerOrGreaterThanUpperThreshold, LessThanLowerThreshold, and GreaterThanUpperThreshold are used only for alarms based on anomaly detection models.


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def datapoints_to_alarm : Int32 | Nil #

The number of data points 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.


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def datapoints_to_alarm=(datapoints_to_alarm : Int32 | Nil) #

The number of data points 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.


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def dimensions : Array(Dimension) | Nil #

The dimensions for the metric specified in MetricName.


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def dimensions=(dimensions : Array(Dimension) | Nil) #

The dimensions for the metric specified in MetricName.


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def evaluate_low_sample_count_percentile : String | Nil #

Used only for alarms based on percentiles. If you specify ignore, the alarm state does not change during periods with too few data points to be statistically significant. If you specify evaluate or omit this parameter, the alarm is always evaluated and possibly changes state no matter how many data points are available. For more information, see Percentile-Based CloudWatch Alarms and Low Data Samples.

Valid Values: evaluate | ignore


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def evaluate_low_sample_count_percentile=(evaluate_low_sample_count_percentile : String | Nil) #

Used only for alarms based on percentiles. If you specify ignore, the alarm state does not change during periods with too few data points to be statistically significant. If you specify evaluate or omit this parameter, the alarm is always evaluated and possibly changes state no matter how many data points are available. For more information, see Percentile-Based CloudWatch Alarms and Low Data Samples.

Valid Values: evaluate | ignore


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def evaluation_criteria : EvaluationCriteria | Nil #

The evaluation criteria for the alarm. For each PutMetricAlarm operation, you must specify either MetricName, a Metrics array, or an EvaluationCriteria.

If you use the EvaluationCriteria parameter, you cannot include the Namespace, MetricName, Dimensions, Period, Unit, Statistic, ExtendedStatistic, Metrics, Threshold, ComparisonOperator, ThresholdMetricId, EvaluationPeriods, or DatapointsToAlarm parameters of PutMetricAlarm in the same operation. Instead, all evaluation parameters are defined within this structure.

For an example of how to use this parameter, see the PromQL alarm example on this page.


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def evaluation_criteria=(evaluation_criteria : EvaluationCriteria | Nil) #

The evaluation criteria for the alarm. For each PutMetricAlarm operation, you must specify either MetricName, a Metrics array, or an EvaluationCriteria.

If you use the EvaluationCriteria parameter, you cannot include the Namespace, MetricName, Dimensions, Period, Unit, Statistic, ExtendedStatistic, Metrics, Threshold, ComparisonOperator, ThresholdMetricId, EvaluationPeriods, or DatapointsToAlarm parameters of PutMetricAlarm in the same operation. Instead, all evaluation parameters are defined within this structure.

For an example of how to use this parameter, see the PromQL alarm example on this page.


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def evaluation_interval : Int32 | Nil #

The frequency, in seconds, at which the alarm is evaluated. Valid values are 10, 20, 30, and any multiple of 60.

This parameter is required for alarms that use EvaluationCriteria, and cannot be specified for alarms configured with MetricName or Metrics.


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def evaluation_interval=(evaluation_interval : Int32 | Nil) #

The frequency, in seconds, at which the alarm is evaluated. Valid values are 10, 20, 30, and any multiple of 60.

This parameter is required for alarms that use EvaluationCriteria, and cannot be specified for alarms configured with MetricName or Metrics.


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def evaluation_periods : Int32 | Nil #

The number of periods over which data is compared to the specified threshold. If you are setting an alarm that requires that a number of consecutive data points be breaching to trigger the alarm, this value specifies that number. If you are setting an "M out of N" alarm, this value is the N.


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def evaluation_periods=(evaluation_periods : Int32 | Nil) #

The number of periods over which data is compared to the specified threshold. If you are setting an alarm that requires that a number of consecutive data points be breaching to trigger the alarm, this value specifies that number. If you are setting an "M out of N" alarm, this value is the N.


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def evaluation_window : EvaluationWindow | Nil #

The evaluation window that the alarm uses to select the range of metric data that it evaluates. Specify either a sliding window or a wall clock window. If you omit this parameter, the alarm uses a sliding window.

A sliding window advances each time the alarm is evaluated, forming a rolling time window. A wall clock window aligns the evaluated range to fixed clock boundaries, such as the top of the hour or the start of the day.

You can use EvaluationWindow with any type of metric alarm except alarms that are based on a PromQL query.

For more information, see Alarm evaluation windows in the CloudWatch User Guide.


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def evaluation_window=(evaluation_window : EvaluationWindow | Nil) #

The evaluation window that the alarm uses to select the range of metric data that it evaluates. Specify either a sliding window or a wall clock window. If you omit this parameter, the alarm uses a sliding window.

A sliding window advances each time the alarm is evaluated, forming a rolling time window. A wall clock window aligns the evaluated range to fixed clock boundaries, such as the top of the hour or the start of the day.

You can use EvaluationWindow with any type of metric alarm except alarms that are based on a PromQL query.

For more information, see Alarm evaluation windows in the CloudWatch User Guide.


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def extended_statistic : String | Nil #

The extended statistic for the metric specified in MetricName. When you call PutMetricAlarm and specify a MetricName, you must specify either Statistic or ExtendedStatistic but not both.

If you specify ExtendedStatistic, the following are valid values:

  • p90

  • tm90

  • tc90

  • ts90

  • wm90

  • IQM

  • PR(*n*:*m*) where n and m are values of the metric

  • TC(*X*%:*X*%) where X is between 10 and 90 inclusive.

  • TM(*X*%:*X*%) where X is between 10 and 90 inclusive.

  • TS(*X*%:*X*%) where X is between 10 and 90 inclusive.

  • WM(*X*%:*X*%) where X is between 10 and 90 inclusive.

For more information about these extended statistics, see CloudWatch statistics definitions.


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def extended_statistic=(extended_statistic : String | Nil) #

The extended statistic for the metric specified in MetricName. When you call PutMetricAlarm and specify a MetricName, you must specify either Statistic or ExtendedStatistic but not both.

If you specify ExtendedStatistic, the following are valid values:

  • p90

  • tm90

  • tc90

  • ts90

  • wm90

  • IQM

  • PR(*n*:*m*) where n and m are values of the metric

  • TC(*X*%:*X*%) where X is between 10 and 90 inclusive.

  • TM(*X*%:*X*%) where X is between 10 and 90 inclusive.

  • TS(*X*%:*X*%) where X is between 10 and 90 inclusive.

  • WM(*X*%:*X*%) where X is between 10 and 90 inclusive.

For more information about these extended statistics, see CloudWatch statistics definitions.


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def hash(hasher) #
Description copied from class Reference

See Object#hash(hasher)


def insufficient_data_actions : Array(String) | Nil #

The actions to execute when this alarm transitions to the INSUFFICIENT_DATA state from any other state. Each action is specified as an Amazon Resource Name (ARN). Valid values:

EC2 actions:

  • arn:aws:automate:*region*:ec2:stop

  • arn:aws:automate:*region*:ec2:terminate

  • arn:aws:automate:*region*:ec2:reboot

  • arn:aws:automate:*region*:ec2:recover

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Stop/1.0

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Terminate/1.0

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Reboot/1.0

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Recover/1.0

Autoscaling action:

arn:aws:autoscaling:*region*:*account-id*:scalingPolicy:*policy-id*:autoScalingGroupName/*group-friendly-name*:policyName/*policy-friendly-name*

Lambda actions:

  • Invoke the latest version of a Lambda function: arn:aws:lambda:*region*:*account-id*:function:*function-name*

  • Invoke a specific version of a Lambda function: arn:aws:lambda:*region*:*account-id*:function:*function-name*:*version-number*

  • Invoke a function by using an alias Lambda function: arn:aws:lambda:*region*:*account-id*:function:*function-name*:*alias-name*

SNS notification action:

  • arn:aws:sns:*region*:*account-id*:*sns-topic-name*

SSM integration actions:

  • arn:aws:ssm:*region*:*account-id*:opsitem:*severity*#CATEGORY=*category-name*

  • arn:aws:ssm-incidents::*account-id*:responseplan/*response-plan-name*


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def insufficient_data_actions=(insufficient_data_actions : Array(String) | Nil) #

The actions to execute when this alarm transitions to the INSUFFICIENT_DATA state from any other state. Each action is specified as an Amazon Resource Name (ARN). Valid values:

EC2 actions:

  • arn:aws:automate:*region*:ec2:stop

  • arn:aws:automate:*region*:ec2:terminate

  • arn:aws:automate:*region*:ec2:reboot

  • arn:aws:automate:*region*:ec2:recover

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Stop/1.0

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Terminate/1.0

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Reboot/1.0

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Recover/1.0

Autoscaling action:

arn:aws:autoscaling:*region*:*account-id*:scalingPolicy:*policy-id*:autoScalingGroupName/*group-friendly-name*:policyName/*policy-friendly-name*

Lambda actions:

  • Invoke the latest version of a Lambda function: arn:aws:lambda:*region*:*account-id*:function:*function-name*

  • Invoke a specific version of a Lambda function: arn:aws:lambda:*region*:*account-id*:function:*function-name*:*version-number*

  • Invoke a function by using an alias Lambda function: arn:aws:lambda:*region*:*account-id*:function:*function-name*:*alias-name*

SNS notification action:

  • arn:aws:sns:*region*:*account-id*:*sns-topic-name*

SSM integration actions:

  • arn:aws:ssm:*region*:*account-id*:opsitem:*severity*#CATEGORY=*category-name*

  • arn:aws:ssm-incidents::*account-id*:responseplan/*response-plan-name*


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def metric_name : String | Nil #

The name for the metric associated with the alarm. For each PutMetricAlarm operation, you must specify either MetricName, a Metrics array, or an EvaluationCriteria.

If you are creating an alarm based on a math expression, you cannot specify this parameter, or any of the Namespace, Dimensions, Period, Unit, Statistic, or ExtendedStatistic parameters. Instead, you specify all this information in the Metrics array.


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def metric_name=(metric_name : String | Nil) #

The name for the metric associated with the alarm. For each PutMetricAlarm operation, you must specify either MetricName, a Metrics array, or an EvaluationCriteria.

If you are creating an alarm based on a math expression, you cannot specify this parameter, or any of the Namespace, Dimensions, Period, Unit, Statistic, or ExtendedStatistic parameters. Instead, you specify all this information in the Metrics array.


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def metrics : Array(MetricDataQuery) | Nil #

An array of MetricDataQuery structures that enable you to create an alarm based on the result of a metric math expression. For each PutMetricAlarm operation, you must specify either MetricName, a Metrics array, or an EvaluationCriteria.

Each item in the Metrics array either retrieves a metric or performs a math expression.

One item in the Metrics array is the expression that the alarm watches. You designate this expression by setting ReturnData to true for this object in the array. For more information, see MetricDataQuery.

If you use the Metrics parameter, you cannot include the Namespace, MetricName, Dimensions, Period, Unit, Statistic, or ExtendedStatistic parameters of PutMetricAlarm in the same operation. Instead, you retrieve the metrics you are using in your math expression as part of the Metrics array.


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def metrics=(metrics : Array(MetricDataQuery) | Nil) #

An array of MetricDataQuery structures that enable you to create an alarm based on the result of a metric math expression. For each PutMetricAlarm operation, you must specify either MetricName, a Metrics array, or an EvaluationCriteria.

Each item in the Metrics array either retrieves a metric or performs a math expression.

One item in the Metrics array is the expression that the alarm watches. You designate this expression by setting ReturnData to true for this object in the array. For more information, see MetricDataQuery.

If you use the Metrics parameter, you cannot include the Namespace, MetricName, Dimensions, Period, Unit, Statistic, or ExtendedStatistic parameters of PutMetricAlarm in the same operation. Instead, you retrieve the metrics you are using in your math expression as part of the Metrics array.


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def namespace : String | Nil #

The namespace for the metric associated specified in MetricName.


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def namespace=(namespace : String | Nil) #

The namespace for the metric associated specified in MetricName.


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def ok_actions : Array(String) | Nil #

The actions to execute when this alarm transitions to an OK state from any other state. Each action is specified as an Amazon Resource Name (ARN). Valid values:

EC2 actions:

  • arn:aws:automate:*region*:ec2:stop

  • arn:aws:automate:*region*:ec2:terminate

  • arn:aws:automate:*region*:ec2:reboot

  • arn:aws:automate:*region*:ec2:recover

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Stop/1.0

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Terminate/1.0

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Reboot/1.0

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Recover/1.0

Autoscaling action:

arn:aws:autoscaling:*region*:*account-id*:scalingPolicy:*policy-id*:autoScalingGroupName/*group-friendly-name*:policyName/*policy-friendly-name*

Lambda actions:

  • Invoke the latest version of a Lambda function: arn:aws:lambda:*region*:*account-id*:function:*function-name*

  • Invoke a specific version of a Lambda function: arn:aws:lambda:*region*:*account-id*:function:*function-name*:*version-number*

  • Invoke a function by using an alias Lambda function: arn:aws:lambda:*region*:*account-id*:function:*function-name*:*alias-name*

SNS notification action:

  • arn:aws:sns:*region*:*account-id*:*sns-topic-name*

SSM integration actions:

  • arn:aws:ssm:*region*:*account-id*:opsitem:*severity*#CATEGORY=*category-name*

  • arn:aws:ssm-incidents::*account-id*:responseplan/*response-plan-name*


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def ok_actions=(ok_actions : Array(String) | Nil) #

The actions to execute when this alarm transitions to an OK state from any other state. Each action is specified as an Amazon Resource Name (ARN). Valid values:

EC2 actions:

  • arn:aws:automate:*region*:ec2:stop

  • arn:aws:automate:*region*:ec2:terminate

  • arn:aws:automate:*region*:ec2:reboot

  • arn:aws:automate:*region*:ec2:recover

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Stop/1.0

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Terminate/1.0

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Reboot/1.0

  • arn:aws:swf:*region*:*account-id*:action/actions/AWS_EC2.InstanceId.Recover/1.0

Autoscaling action:

arn:aws:autoscaling:*region*:*account-id*:scalingPolicy:*policy-id*:autoScalingGroupName/*group-friendly-name*:policyName/*policy-friendly-name*

Lambda actions:

  • Invoke the latest version of a Lambda function: arn:aws:lambda:*region*:*account-id*:function:*function-name*

  • Invoke a specific version of a Lambda function: arn:aws:lambda:*region*:*account-id*:function:*function-name*:*version-number*

  • Invoke a function by using an alias Lambda function: arn:aws:lambda:*region*:*account-id*:function:*function-name*:*alias-name*

SNS notification action:

  • arn:aws:sns:*region*:*account-id*:*sns-topic-name*

SSM integration actions:

  • arn:aws:ssm:*region*:*account-id*:opsitem:*severity*#CATEGORY=*category-name*

  • arn:aws:ssm-incidents::*account-id*:responseplan/*response-plan-name*


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def period : Int32 | Nil #

The length, in seconds, used each time the metric specified in MetricName is evaluated. Valid values are 10, 20, 30, and any multiple of 60.

Period is required for alarms based on static thresholds. If you are creating an alarm based on a metric math expression, you specify the period for each metric within the objects in the Metrics array.

Be sure to specify 10, 20, or 30 only for metrics that are stored by a PutMetricData call with a StorageResolution of 1. If you specify a period of 10, 20, or 30 for a metric that does not have sub-minute resolution, the alarm still attempts to gather data at the period rate that you specify. In this case, it does not receive data for the attempts that do not correspond to a one-minute data resolution, and the alarm might often lapse into INSUFFICENT_DATA status. Specifying 10, 20, or 30 also sets this alarm as a high-resolution alarm, which has a higher charge than other alarms. For more information about pricing, see Amazon CloudWatch Pricing.

An alarm's total current evaluation period can be no longer than seven days, so Period multiplied by EvaluationPeriods can't be more than 604,800 seconds. For alarms with a period of less than one hour (3,600 seconds), the total evaluation period can't be longer than one day (86,400 seconds).


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def period=(period : Int32 | Nil) #

The length, in seconds, used each time the metric specified in MetricName is evaluated. Valid values are 10, 20, 30, and any multiple of 60.

Period is required for alarms based on static thresholds. If you are creating an alarm based on a metric math expression, you specify the period for each metric within the objects in the Metrics array.

Be sure to specify 10, 20, or 30 only for metrics that are stored by a PutMetricData call with a StorageResolution of 1. If you specify a period of 10, 20, or 30 for a metric that does not have sub-minute resolution, the alarm still attempts to gather data at the period rate that you specify. In this case, it does not receive data for the attempts that do not correspond to a one-minute data resolution, and the alarm might often lapse into INSUFFICENT_DATA status. Specifying 10, 20, or 30 also sets this alarm as a high-resolution alarm, which has a higher charge than other alarms. For more information about pricing, see Amazon CloudWatch Pricing.

An alarm's total current evaluation period can be no longer than seven days, so Period multiplied by EvaluationPeriods can't be more than 604,800 seconds. For alarms with a period of less than one hour (3,600 seconds), the total evaluation period can't be longer than one day (86,400 seconds).


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def statistic : Statistic | Nil #

The statistic for the metric specified in MetricName, other than percentile. For percentile statistics, use ExtendedStatistic. When you call PutMetricAlarm and specify a MetricName, you must specify either Statistic or ExtendedStatistic, but not both.


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def statistic=(statistic : Statistic | Nil) #

The statistic for the metric specified in MetricName, other than percentile. For percentile statistics, use ExtendedStatistic. When you call PutMetricAlarm and specify a MetricName, you must specify either Statistic or ExtendedStatistic, but not both.


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def tags : Array(Tag) | Nil #

A list of key-value pairs to associate with the alarm. You can associate as many as 50 tags with an alarm. To be able to associate tags with the alarm when you create the alarm, you must have the cloudwatch:TagResource permission.

Tags can help you organize and categorize your resources. You can also use them to scope user permissions by granting a user permission to access or change only resources with certain tag values.

If you are using this operation to update an existing alarm, any tags you specify in this parameter are ignored. To change the tags of an existing alarm, use TagResource or UntagResource.

To use this field to set tags for an alarm when you create it, you must be signed on with both the cloudwatch:PutMetricAlarm and cloudwatch:TagResource permissions.


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def tags=(tags : Array(Tag) | Nil) #

A list of key-value pairs to associate with the alarm. You can associate as many as 50 tags with an alarm. To be able to associate tags with the alarm when you create the alarm, you must have the cloudwatch:TagResource permission.

Tags can help you organize and categorize your resources. You can also use them to scope user permissions by granting a user permission to access or change only resources with certain tag values.

If you are using this operation to update an existing alarm, any tags you specify in this parameter are ignored. To change the tags of an existing alarm, use TagResource or UntagResource.

To use this field to set tags for an alarm when you create it, you must be signed on with both the cloudwatch:PutMetricAlarm and cloudwatch:TagResource permissions.


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def threshold : Float64 | Nil #

The value against which the specified statistic is compared.

This parameter is required for alarms based on static thresholds, but should not be used for alarms based on anomaly detection models.


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def threshold=(threshold : Float64 | Nil) #

The value against which the specified statistic is compared.

This parameter is required for alarms based on static thresholds, but should not be used for alarms based on anomaly detection models.


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def threshold_metric_id : String | Nil #

If this is an alarm based on an anomaly detection model, make this value match the ID of the ANOMALY_DETECTION_BAND function.

For an example of how to use this parameter, see the Anomaly Detection Model Alarm example on this page.

If your alarm uses this parameter, it cannot have Auto Scaling actions.


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def threshold_metric_id=(threshold_metric_id : String | Nil) #

If this is an alarm based on an anomaly detection model, make this value match the ID of the ANOMALY_DETECTION_BAND function.

For an example of how to use this parameter, see the Anomaly Detection Model Alarm example on this page.

If your alarm uses this parameter, it cannot have Auto Scaling actions.


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def treat_missing_data : String | Nil #

Sets how this alarm is to handle missing data points. If TreatMissingData is omitted, the default behavior of missing is used. For more information, see Configuring How CloudWatch Alarms Treats Missing Data.

Valid Values: breaching | notBreaching | ignore | missing

Alarms that evaluate metrics in the AWS/DynamoDB namespace always ignore missing data even if you choose a different option for TreatMissingData. When an AWS/DynamoDB metric has missing data, alarms that evaluate that metric remain in their current state.

This parameter is not applicable to PromQL alarms.


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def treat_missing_data=(treat_missing_data : String | Nil) #

Sets how this alarm is to handle missing data points. If TreatMissingData is omitted, the default behavior of missing is used. For more information, see Configuring How CloudWatch Alarms Treats Missing Data.

Valid Values: breaching | notBreaching | ignore | missing

Alarms that evaluate metrics in the AWS/DynamoDB namespace always ignore missing data even if you choose a different option for TreatMissingData. When an AWS/DynamoDB metric has missing data, alarms that evaluate that metric remain in their current state.

This parameter is not applicable to PromQL alarms.


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def unit : StandardUnit | Nil #

The unit of measure for the statistic. For example, the units for the Amazon EC2 NetworkIn metric are Bytes because NetworkIn tracks the number of bytes that an instance receives on all network interfaces. You can also specify a unit when you create a custom metric. Units help provide conceptual meaning to your data. Metric data points that specify a unit of measure, such as Percent, are aggregated separately. If you are creating an alarm based on a metric math expression, you can specify the unit for each metric (if needed) within the objects in the Metrics array.

If you don't specify Unit, CloudWatch retrieves all unit types that have been published for the metric and attempts to evaluate the alarm. Usually, metrics are published with only one unit, so the alarm works as intended.

However, if the metric is published with multiple types of units and you don't specify a unit, the alarm's behavior is not defined and it behaves unpredictably.

We recommend omitting Unit so that you don't inadvertently specify an incorrect unit that is not published for this metric. Doing so causes the alarm to be stuck in the INSUFFICIENT DATA state.


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def unit=(unit : StandardUnit | Nil) #

The unit of measure for the statistic. For example, the units for the Amazon EC2 NetworkIn metric are Bytes because NetworkIn tracks the number of bytes that an instance receives on all network interfaces. You can also specify a unit when you create a custom metric. Units help provide conceptual meaning to your data. Metric data points that specify a unit of measure, such as Percent, are aggregated separately. If you are creating an alarm based on a metric math expression, you can specify the unit for each metric (if needed) within the objects in the Metrics array.

If you don't specify Unit, CloudWatch retrieves all unit types that have been published for the metric and attempts to evaluate the alarm. Usually, metrics are published with only one unit, so the alarm works as intended.

However, if the metric is published with multiple types of units and you don't specify a unit, the alarm's behavior is not defined and it behaves unpredictably.

We recommend omitting Unit so that you don't inadvertently specify an incorrect unit that is not published for this metric. Doing so causes the alarm to be stuck in the INSUFFICIENT DATA state.


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def validate! : Nil #

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def warm_up_configuration : WarmUpConfiguration | Nil #

The warm-up configuration for the alarm. A warm-up period delays alarm evaluation after you create or update the alarm. The warm-up period reduces alarm noise from missing data while a new resource or service starts publishing metrics.

For more information, see Alarm warm-up periods in the Amazon CloudWatch User Guide.


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def warm_up_configuration=(warm_up_configuration : WarmUpConfiguration | Nil) #

The warm-up configuration for the alarm. A warm-up period delays alarm evaluation after you create or update the alarm. The warm-up period reduces alarm noise from missing data while a new resource or service starts publishing metrics.

For more information, see Alarm warm-up periods in the Amazon CloudWatch User Guide.


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