AWS Cloud Control v1.38.0, Nov 5 25

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AWS Cloud Control v1.38.0 published on Wednesday, Nov 5, 2025 by Pulumi

pulumi/pulumi-aws-native

aws-native.aps.AnomalyDetector

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Explain and create an aws-native.aps.AnomalyDetector resource

We recommend new projects start with resources from the AWS provider.

AWS Cloud Control v1.38.0 published on Wednesday, Nov 5, 2025 by Pulumi

pulumi/pulumi-aws-native

Create AnomalyDetector Resource

Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

Constructor syntax

new AnomalyDetector(name: string, args: AnomalyDetectorArgs, opts?: CustomResourceOptions);

@overload
def AnomalyDetector(resource_name: str,
                    args: AnomalyDetectorArgs,
                    opts: Optional[ResourceOptions] = None)

@overload
def AnomalyDetector(resource_name: str,
                    opts: Optional[ResourceOptions] = None,
                    alias: Optional[str] = None,
                    configuration: Optional[AnomalyDetectorConfigurationArgs] = None,
                    workspace: Optional[str] = None,
                    evaluation_interval_in_seconds: Optional[int] = None,
                    labels: Optional[Sequence[AnomalyDetectorLabelArgs]] = None,
                    missing_data_action: Optional[AnomalyDetectorMissingDataActionArgs] = None,
                    tags: Optional[Sequence[_root_inputs.TagArgs]] = None)

func NewAnomalyDetector(ctx *Context, name string, args AnomalyDetectorArgs, opts ...ResourceOption) (*AnomalyDetector, error)

public AnomalyDetector(string name, AnomalyDetectorArgs args, CustomResourceOptions? opts = null)

public AnomalyDetector(String name, AnomalyDetectorArgs args)
public AnomalyDetector(String name, AnomalyDetectorArgs args, CustomResourceOptions options)

type: aws-native:aps:AnomalyDetector
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

Parameters

name string: The unique name of the resource.
args AnomalyDetectorArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

resource_name str: The unique name of the resource.
args AnomalyDetectorArgs: The arguments to resource properties.
opts ResourceOptions: Bag of options to control resource's behavior.

ctx Context: Context object for the current deployment.
name string: The unique name of the resource.
args AnomalyDetectorArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args AnomalyDetectorArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args AnomalyDetectorArgs: The arguments to resource properties.
options CustomResourceOptions: Bag of options to control resource's behavior.

AnomalyDetector Resource Properties

To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

Inputs

In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

The AnomalyDetector resource accepts the following input properties:

Alias string: The AnomalyDetector alias.
Configuration Pulumi.AwsNative.Aps.Inputs.AnomalyDetectorConfiguration: Determines the anomaly detector's algorithm and its configuration.
Workspace string: Required to identify a specific APS Workspace associated with this Anomaly Detector.
EvaluationIntervalInSeconds int: The AnomalyDetector period of detection and metric generation.
Labels List<Pulumi.AwsNative.Aps.Inputs.AnomalyDetectorLabel>: An array of key-value pairs to provide meta-data.
MissingDataAction Pulumi.AwsNative.Aps.Inputs.AnomalyDetectorMissingDataAction: The action to perform when running the expression returns no data.
Tags List<Pulumi.AwsNative.Inputs.Tag>: An array of key-value pairs to apply to this resource.

Alias string: The AnomalyDetector alias.
Configuration AnomalyDetectorConfigurationArgs: Determines the anomaly detector's algorithm and its configuration.
Workspace string: Required to identify a specific APS Workspace associated with this Anomaly Detector.
EvaluationIntervalInSeconds int: The AnomalyDetector period of detection and metric generation.
Labels []AnomalyDetectorLabelArgs: An array of key-value pairs to provide meta-data.
MissingDataAction AnomalyDetectorMissingDataActionArgs: The action to perform when running the expression returns no data.
Tags TagArgs: An array of key-value pairs to apply to this resource.

alias String: The AnomalyDetector alias.
configuration AnomalyDetectorConfiguration: Determines the anomaly detector's algorithm and its configuration.
workspace String: Required to identify a specific APS Workspace associated with this Anomaly Detector.
evaluationIntervalInSeconds Integer: The AnomalyDetector period of detection and metric generation.
labels List<AnomalyDetectorLabel>: An array of key-value pairs to provide meta-data.
missingDataAction AnomalyDetectorMissingDataAction: The action to perform when running the expression returns no data.
tags List<Tag>: An array of key-value pairs to apply to this resource.

alias string: The AnomalyDetector alias.
configuration AnomalyDetectorConfiguration: Determines the anomaly detector's algorithm and its configuration.
workspace string: Required to identify a specific APS Workspace associated with this Anomaly Detector.
evaluationIntervalInSeconds number: The AnomalyDetector period of detection and metric generation.
labels AnomalyDetectorLabel[]: An array of key-value pairs to provide meta-data.
missingDataAction AnomalyDetectorMissingDataAction: The action to perform when running the expression returns no data.
tags Tag[]: An array of key-value pairs to apply to this resource.

alias str: The AnomalyDetector alias.
configuration AnomalyDetectorConfigurationArgs: Determines the anomaly detector's algorithm and its configuration.
workspace str: Required to identify a specific APS Workspace associated with this Anomaly Detector.
evaluation_interval_in_seconds int: The AnomalyDetector period of detection and metric generation.
labels Sequence[AnomalyDetectorLabelArgs]: An array of key-value pairs to provide meta-data.
missing_data_action AnomalyDetectorMissingDataActionArgs: The action to perform when running the expression returns no data.
tags Sequence[TagArgs]: An array of key-value pairs to apply to this resource.

alias String: The AnomalyDetector alias.
configuration Property Map: Determines the anomaly detector's algorithm and its configuration.
workspace String: Required to identify a specific APS Workspace associated with this Anomaly Detector.
evaluationIntervalInSeconds Number: The AnomalyDetector period of detection and metric generation.
labels List<Property Map>: An array of key-value pairs to provide meta-data.
missingDataAction Property Map: The action to perform when running the expression returns no data.
tags List<Property Map>: An array of key-value pairs to apply to this resource.

Outputs

All input properties are implicitly available as output properties. Additionally, the AnomalyDetector resource produces the following output properties:

Arn string: The AnomalyDetector ARN.
Id string: The provider-assigned unique ID for this managed resource.

Arn string: The AnomalyDetector ARN.
Id string: The provider-assigned unique ID for this managed resource.

arn String: The AnomalyDetector ARN.
id String: The provider-assigned unique ID for this managed resource.

arn string: The AnomalyDetector ARN.
id string: The provider-assigned unique ID for this managed resource.

arn str: The AnomalyDetector ARN.
id str: The provider-assigned unique ID for this managed resource.

arn String: The AnomalyDetector ARN.
id String: The provider-assigned unique ID for this managed resource.

Supporting Types

AnomalyDetectorConfiguration, AnomalyDetectorConfigurationArgs

RandomCutForest Pulumi.AwsNative.Aps.Inputs.AnomalyDetectorRandomCutForestConfiguration: The Random Cut Forest algorithm configuration for anomaly detection.

RandomCutForest AnomalyDetectorRandomCutForestConfiguration: The Random Cut Forest algorithm configuration for anomaly detection.

randomCutForest AnomalyDetectorRandomCutForestConfiguration: The Random Cut Forest algorithm configuration for anomaly detection.

randomCutForest AnomalyDetectorRandomCutForestConfiguration: The Random Cut Forest algorithm configuration for anomaly detection.

random_cut_forest AnomalyDetectorRandomCutForestConfiguration: The Random Cut Forest algorithm configuration for anomaly detection.

randomCutForest Property Map: The Random Cut Forest algorithm configuration for anomaly detection.

AnomalyDetectorIgnoreNearExpected, AnomalyDetectorIgnoreNearExpectedArgs

Amount double
Ratio double

Amount float64
Ratio float64

amount Double
ratio Double

amount number
ratio number

amount float
ratio float

amount Number
ratio Number

AnomalyDetectorLabel, AnomalyDetectorLabelArgs

A key-value pair to provide meta-data and multi-dimensional data analysis for filtering and aggregation.

Key string: The key name of the tag. You can specify a value that is 1 to 128 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.
Value string: The value for the tag. You can specify a value that is 0 to 256 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

Key string: The key name of the tag. You can specify a value that is 1 to 128 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.
Value string: The value for the tag. You can specify a value that is 0 to 256 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

key String: The key name of the tag. You can specify a value that is 1 to 128 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.
value String: The value for the tag. You can specify a value that is 0 to 256 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

key string: The key name of the tag. You can specify a value that is 1 to 128 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.
value string: The value for the tag. You can specify a value that is 0 to 256 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

key str: The key name of the tag. You can specify a value that is 1 to 128 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.
value str: The value for the tag. You can specify a value that is 0 to 256 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

key String: The key name of the tag. You can specify a value that is 1 to 128 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.
value String: The value for the tag. You can specify a value that is 0 to 256 Unicode characters in length and cannot be prefixed with aws:. You can use any of the following characters: the set of Unicode letters, digits, whitespace, _, ., /, =, +, and -.

AnomalyDetectorMissingDataAction, AnomalyDetectorMissingDataActionArgs

MarkAsAnomaly bool
Skip bool

MarkAsAnomaly bool
Skip bool

markAsAnomaly Boolean
skip Boolean

markAsAnomaly boolean
skip boolean

mark_as_anomaly bool
skip bool

markAsAnomaly Boolean
skip Boolean

AnomalyDetectorRandomCutForestConfiguration, AnomalyDetectorRandomCutForestConfigurationArgs

Query string: The Prometheus query used to retrieve the time-series data for anomaly detection.
Random Cut Forest queries must be wrapped by a supported PromQL aggregation operator. For more information, see Aggregation operators on the Prometheus docs website.
Supported PromQL aggregation operators : avg , count , group , max , min , quantile , stddev , stdvar , and sum .
IgnoreNearExpectedFromAbove Pulumi.AwsNative.Aps.Inputs.AnomalyDetectorIgnoreNearExpected: Configuration for ignoring values that are near expected values from above during anomaly detection.
IgnoreNearExpectedFromBelow Pulumi.AwsNative.Aps.Inputs.AnomalyDetectorIgnoreNearExpected: Configuration for ignoring values that are near expected values from below during anomaly detection.
SampleSize int: The number of data points sampled from the input stream for the Random Cut Forest algorithm. The default number is 256 consecutive data points.
ShingleSize int: The number of consecutive data points used to create a shingle for the Random Cut Forest algorithm. The default number is 8 consecutive data points.

Query string: The Prometheus query used to retrieve the time-series data for anomaly detection.
Random Cut Forest queries must be wrapped by a supported PromQL aggregation operator. For more information, see Aggregation operators on the Prometheus docs website.
Supported PromQL aggregation operators : avg , count , group , max , min , quantile , stddev , stdvar , and sum .
IgnoreNearExpectedFromAbove AnomalyDetectorIgnoreNearExpected: Configuration for ignoring values that are near expected values from above during anomaly detection.
IgnoreNearExpectedFromBelow AnomalyDetectorIgnoreNearExpected: Configuration for ignoring values that are near expected values from below during anomaly detection.
SampleSize int: The number of data points sampled from the input stream for the Random Cut Forest algorithm. The default number is 256 consecutive data points.
ShingleSize int: The number of consecutive data points used to create a shingle for the Random Cut Forest algorithm. The default number is 8 consecutive data points.

query String: The Prometheus query used to retrieve the time-series data for anomaly detection.
Random Cut Forest queries must be wrapped by a supported PromQL aggregation operator. For more information, see Aggregation operators on the Prometheus docs website.
Supported PromQL aggregation operators : avg , count , group , max , min , quantile , stddev , stdvar , and sum .
ignoreNearExpectedFromAbove AnomalyDetectorIgnoreNearExpected: Configuration for ignoring values that are near expected values from above during anomaly detection.
ignoreNearExpectedFromBelow AnomalyDetectorIgnoreNearExpected: Configuration for ignoring values that are near expected values from below during anomaly detection.
sampleSize Integer: The number of data points sampled from the input stream for the Random Cut Forest algorithm. The default number is 256 consecutive data points.
shingleSize Integer: The number of consecutive data points used to create a shingle for the Random Cut Forest algorithm. The default number is 8 consecutive data points.

query string: The Prometheus query used to retrieve the time-series data for anomaly detection.
Random Cut Forest queries must be wrapped by a supported PromQL aggregation operator. For more information, see Aggregation operators on the Prometheus docs website.
Supported PromQL aggregation operators : avg , count , group , max , min , quantile , stddev , stdvar , and sum .
ignoreNearExpectedFromAbove AnomalyDetectorIgnoreNearExpected: Configuration for ignoring values that are near expected values from above during anomaly detection.
ignoreNearExpectedFromBelow AnomalyDetectorIgnoreNearExpected: Configuration for ignoring values that are near expected values from below during anomaly detection.
sampleSize number: The number of data points sampled from the input stream for the Random Cut Forest algorithm. The default number is 256 consecutive data points.
shingleSize number: The number of consecutive data points used to create a shingle for the Random Cut Forest algorithm. The default number is 8 consecutive data points.

query str: The Prometheus query used to retrieve the time-series data for anomaly detection.
Random Cut Forest queries must be wrapped by a supported PromQL aggregation operator. For more information, see Aggregation operators on the Prometheus docs website.
Supported PromQL aggregation operators : avg , count , group , max , min , quantile , stddev , stdvar , and sum .
ignore_near_expected_from_above AnomalyDetectorIgnoreNearExpected: Configuration for ignoring values that are near expected values from above during anomaly detection.
ignore_near_expected_from_below AnomalyDetectorIgnoreNearExpected: Configuration for ignoring values that are near expected values from below during anomaly detection.
sample_size int: The number of data points sampled from the input stream for the Random Cut Forest algorithm. The default number is 256 consecutive data points.
shingle_size int: The number of consecutive data points used to create a shingle for the Random Cut Forest algorithm. The default number is 8 consecutive data points.

query String: The Prometheus query used to retrieve the time-series data for anomaly detection.
Random Cut Forest queries must be wrapped by a supported PromQL aggregation operator. For more information, see Aggregation operators on the Prometheus docs website.
Supported PromQL aggregation operators : avg , count , group , max , min , quantile , stddev , stdvar , and sum .
ignoreNearExpectedFromAbove Property Map: Configuration for ignoring values that are near expected values from above during anomaly detection.
ignoreNearExpectedFromBelow Property Map: Configuration for ignoring values that are near expected values from below during anomaly detection.
sampleSize Number: The number of data points sampled from the input stream for the Random Cut Forest algorithm. The default number is 256 consecutive data points.
shingleSize Number: The number of consecutive data points used to create a shingle for the Random Cut Forest algorithm. The default number is 8 consecutive data points.

Tag, TagArgs

A set of tags to apply to the resource.

Key string: The key name of the tag
Value string: The value of the tag

Key string: The key name of the tag
Value string: The value of the tag

key String: The key name of the tag
value String: The value of the tag

key string: The key name of the tag
value string: The value of the tag

key str: The key name of the tag
value str: The value of the tag

key String: The key name of the tag
value String: The value of the tag

Package Details

Repository: AWS Native pulumi/pulumi-aws-native
License: Apache-2.0

We recommend new projects start with resources from the AWS provider.

AWS Cloud Control v1.38.0 published on Wednesday, Nov 5, 2025 by Pulumi

pulumi/pulumi-aws-native

aws-native.aps.AnomalyDetector

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Create AnomalyDetector Resource

Constructor syntax

Parameters

AnomalyDetector Resource Properties

Inputs

Outputs

Supporting Types

AnomalyDetectorConfiguration, AnomalyDetectorConfigurationArgs

AnomalyDetectorIgnoreNearExpected, AnomalyDetectorIgnoreNearExpectedArgs

AnomalyDetectorLabel, AnomalyDetectorLabelArgs

AnomalyDetectorMissingDataAction, AnomalyDetectorMissingDataActionArgs

AnomalyDetectorRandomCutForestConfiguration, AnomalyDetectorRandomCutForestConfigurationArgs

Tag, TagArgs

Package Details

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