Creates or updates an alarm and associates it with the specified metric, metric math expression, or anomaly detection model
Creates or updates an alarm and associates it with the specified metric, metric math expression, or anomaly detection model.
Alarms based on anomaly detection models cannot have Auto Scaling actions.
When this operation creates an alarm, the alarm state is immediately set
to INSUFFICIENT_DATA
. The alarm is then evaluated and its state is set
appropriately. Any actions associated with the new state are then
executed.
When you update an existing alarm, its state is left unchanged, but the update completely overwrites the previous configuration of the alarm.
If you are an IAM user, you must have Amazon EC2 permissions for some alarm operations:
The iam:CreateServiceLinkedRole
for all alarms with EC2 actions
The iam:CreateServiceLinkedRole
to create an alarm with Systems
Manager OpsItem actions.
The first time you create an alarm in the AWS Management Console, the
CLI, or by using the PutMetricAlarm API, CloudWatch creates the
necessary service-linked rolea for you. The service-linked roles are
called AWSServiceRoleForCloudWatchEvents
and
AWSServiceRoleForCloudWatchAlarms_ActionSSM
. For more information, see
AWS service-linked role.
cloudwatch_put_metric_alarm(AlarmName, AlarmDescription, ActionsEnabled, OKActions, AlarmActions, InsufficientDataActions, MetricName, Namespace, Statistic, ExtendedStatistic, Dimensions, Period, Unit, EvaluationPeriods, DatapointsToAlarm, Threshold, ComparisonOperator, TreatMissingData, EvaluateLowSampleCountPercentile, Metrics, Tags, ThresholdMetricId)
AlarmName |
[required] The name for the alarm. This name must be unique within the Region. |
AlarmDescription |
The description for the alarm. |
ActionsEnabled |
Indicates whether actions should be executed during any changes to the
alarm state. The default is |
OKActions |
The actions to execute when this alarm transitions to an Valid Values: Valid Values (for use with IAM roles):
|
AlarmActions |
The actions to execute when this alarm transitions to the Valid Values: Valid Values (for use with IAM roles):
|
InsufficientDataActions |
The actions to execute when this alarm transitions to the
Valid Values: Valid Values (for use with IAM roles):
|
MetricName |
The name for the metric associated with the alarm. For each
If you are creating an alarm based on a math expression, you cannot
specify this parameter, or any of the |
Namespace |
The namespace for the metric associated specified in |
Statistic |
The statistic for the metric specified in |
ExtendedStatistic |
The percentile statistic for the metric specified in |
Dimensions |
The dimensions for the metric specified in |
Period |
The length, in seconds, used each time the metric specified in
Be sure to specify 10 or 30 only for metrics that are stored by a
An alarm's total current evaluation period can be no longer than one
day, so |
Unit |
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 don't specify 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 predictably. We recommend omitting |
EvaluationPeriods |
[required] 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. An alarm's total current evaluation period can be no longer than one
day, so this number multiplied by |
DatapointsToAlarm |
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. |
Threshold |
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. |
ComparisonOperator |
[required] The arithmetic operation to use when comparing the specified statistic and threshold. The specified statistic value is used as the first operand. The values |
TreatMissingData |
Sets how this alarm is to handle missing data points. If
Valid Values: |
EvaluateLowSampleCountPercentile |
Used only for alarms based on percentiles. If you specify Valid Values: |
Metrics |
An array of Each item in the One item in the If you use the |
Tags |
A list of key-value pairs to associate with the alarm. You can associate as many as 50 tags with an alarm. 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 |
ThresholdMetricId |
If this is an alarm based on an anomaly detection model, make this value
match the ID of the 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. |
An empty list.
svc$put_metric_alarm( AlarmName = "string", AlarmDescription = "string", ActionsEnabled = TRUE|FALSE, OKActions = list( "string" ), AlarmActions = list( "string" ), InsufficientDataActions = list( "string" ), MetricName = "string", Namespace = "string", Statistic = "SampleCount"|"Average"|"Sum"|"Minimum"|"Maximum", ExtendedStatistic = "string", Dimensions = list( list( Name = "string", Value = "string" ) ), Period = 123, Unit = "Seconds"|"Microseconds"|"Milliseconds"|"Bytes"|"Kilobytes"|"Megabytes"|"Gigabytes"|"Terabytes"|"Bits"|"Kilobits"|"Megabits"|"Gigabits"|"Terabits"|"Percent"|"Count"|"Bytes/Second"|"Kilobytes/Second"|"Megabytes/Second"|"Gigabytes/Second"|"Terabytes/Second"|"Bits/Second"|"Kilobits/Second"|"Megabits/Second"|"Gigabits/Second"|"Terabits/Second"|"Count/Second"|"None", EvaluationPeriods = 123, DatapointsToAlarm = 123, Threshold = 123.0, ComparisonOperator = "GreaterThanOrEqualToThreshold"|"GreaterThanThreshold"|"LessThanThreshold"|"LessThanOrEqualToThreshold"|"LessThanLowerOrGreaterThanUpperThreshold"|"LessThanLowerThreshold"|"GreaterThanUpperThreshold", TreatMissingData = "string", EvaluateLowSampleCountPercentile = "string", Metrics = list( list( Id = "string", MetricStat = list( Metric = list( Namespace = "string", MetricName = "string", Dimensions = list( list( Name = "string", Value = "string" ) ) ), Period = 123, Stat = "string", Unit = "Seconds"|"Microseconds"|"Milliseconds"|"Bytes"|"Kilobytes"|"Megabytes"|"Gigabytes"|"Terabytes"|"Bits"|"Kilobits"|"Megabits"|"Gigabits"|"Terabits"|"Percent"|"Count"|"Bytes/Second"|"Kilobytes/Second"|"Megabytes/Second"|"Gigabytes/Second"|"Terabytes/Second"|"Bits/Second"|"Kilobits/Second"|"Megabits/Second"|"Gigabits/Second"|"Terabits/Second"|"Count/Second"|"None" ), Expression = "string", Label = "string", ReturnData = TRUE|FALSE, Period = 123 ) ), Tags = list( list( Key = "string", Value = "string" ) ), ThresholdMetricId = "string" )
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