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AWS v6.73.0 published on Wednesday, Mar 19, 2025 by Pulumi
pulumi/pulumi-aws

aws.cloudwatch.LogAnomalyDetector

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AWS v6.73.0 published on Wednesday, Mar 19, 2025 by Pulumi
pulumi/pulumi-aws

    Resource for managing an AWS CloudWatch Logs Log Anomaly Detector.

    Example Usage

    Basic Usage

    import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

const test: aws.cloudwatch.LogGroup[] = [];
for (const range = {value: 0}; range.value < 2; range.value++) {
    test.push(new aws.cloudwatch.LogGroup(`test-${range.value}`, {name: `testing-${range.value}`}));
}
const testLogAnomalyDetector = new aws.cloudwatch.LogAnomalyDetector("test", {
    detectorName: "testing",
    logGroupArnLists: [test[0].arn],
    anomalyVisibilityTime: 7,
    evaluationFrequency: "TEN_MIN",
    enabled: false,
});

    import pulumi
import pulumi_aws as aws

test = []
for range in [{"value": i} for i in range(0, 2)]:
    test.append(aws.cloudwatch.LogGroup(f"test-{range['value']}", name=f"testing-{range['value']}"))
test_log_anomaly_detector = aws.cloudwatch.LogAnomalyDetector("test",
    detector_name="testing",
    log_group_arn_lists=[test[0].arn],
    anomaly_visibility_time=7,
    evaluation_frequency="TEN_MIN",
    enabled=False)

    package main

import (
	"fmt"

	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/cloudwatch"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		var test []*cloudwatch.LogGroup
		for index := 0; index < 2; index++ {
			key0 := index
			val0 := index
			__res, err := cloudwatch.NewLogGroup(ctx, fmt.Sprintf("test-%v", key0), &cloudwatch.LogGroupArgs{
				Name: pulumi.Sprintf("testing-%v", val0),
			})
			if err != nil {
				return err
			}
			test = append(test, __res)
		}
		_, err = cloudwatch.NewLogAnomalyDetector(ctx, "test", &cloudwatch.LogAnomalyDetectorArgs{
			DetectorName: pulumi.String("testing"),
			LogGroupArnLists: pulumi.StringArray{
				test[0].Arn,
			},
			AnomalyVisibilityTime: pulumi.Int(7),
			EvaluationFrequency:   pulumi.String("TEN_MIN"),
			Enabled:               pulumi.Bool(false),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;

return await Deployment.RunAsync(() => 
{
    var test = new List<Aws.CloudWatch.LogGroup>();
    for (var rangeIndex = 0; rangeIndex < 2; rangeIndex++)
    {
        var range = new { Value = rangeIndex };
        test.Add(new Aws.CloudWatch.LogGroup($"test-{range.Value}", new()
        {
            Name = $"testing-{range.Value}",
        }));
    }
    var testLogAnomalyDetector = new Aws.CloudWatch.LogAnomalyDetector("test", new()
    {
        DetectorName = "testing",
        LogGroupArnLists = new[]
        {
            test[0].Arn,
        },
        AnomalyVisibilityTime = 7,
        EvaluationFrequency = "TEN_MIN",
        Enabled = false,
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.cloudwatch.LogGroup;
import com.pulumi.aws.cloudwatch.LogGroupArgs;
import com.pulumi.aws.cloudwatch.LogAnomalyDetector;
import com.pulumi.aws.cloudwatch.LogAnomalyDetectorArgs;
import com.pulumi.codegen.internal.KeyedValue;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        for (var i = 0; i < 2; i++) {
            new LogGroup("test-" + i, LogGroupArgs.builder()
                .name(String.format("testing-%s", range.value()))
                .build());

        
}
        var testLogAnomalyDetector = new LogAnomalyDetector("testLogAnomalyDetector", LogAnomalyDetectorArgs.builder()
            .detectorName("testing")
            .logGroupArnLists(test[0].arn())
            .anomalyVisibilityTime(7)
            .evaluationFrequency("TEN_MIN")
            .enabled("false")
            .build());

    }
}

    resources:
  test:
    type: aws:cloudwatch:LogGroup
    properties:
      name: testing-${range.value}
    options: {}
  testLogAnomalyDetector:
    type: aws:cloudwatch:LogAnomalyDetector
    name: test
    properties:
      detectorName: testing
      logGroupArnLists:
        - ${test[0].arn}
      anomalyVisibilityTime: 7
      evaluationFrequency: TEN_MIN
      enabled: 'false'

    Create LogAnomalyDetector Resource

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

    Constructor syntax

    new LogAnomalyDetector(name: string, args: LogAnomalyDetectorArgs, opts?: CustomResourceOptions);
    @overload
def LogAnomalyDetector(resource_name: str,
                       args: LogAnomalyDetectorArgs,
                       opts: Optional[ResourceOptions] = None)

@overload
def LogAnomalyDetector(resource_name: str,
                       opts: Optional[ResourceOptions] = None,
                       enabled: Optional[bool] = None,
                       log_group_arn_lists: Optional[Sequence[str]] = None,
                       anomaly_visibility_time: Optional[int] = None,
                       detector_name: Optional[str] = None,
                       evaluation_frequency: Optional[str] = None,
                       filter_pattern: Optional[str] = None,
                       kms_key_id: Optional[str] = None,
                       tags: Optional[Mapping[str, str]] = None)
    func NewLogAnomalyDetector(ctx *Context, name string, args LogAnomalyDetectorArgs, opts ...ResourceOption) (*LogAnomalyDetector, error)
    public LogAnomalyDetector(string name, LogAnomalyDetectorArgs args, CustomResourceOptions? opts = null)
    public LogAnomalyDetector(String name, LogAnomalyDetectorArgs args)
public LogAnomalyDetector(String name, LogAnomalyDetectorArgs args, CustomResourceOptions options)

    type: aws:cloudwatch:LogAnomalyDetector
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 LogAnomalyDetectorArgs
    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 LogAnomalyDetectorArgs
    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 LogAnomalyDetectorArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args LogAnomalyDetectorArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args LogAnomalyDetectorArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var logAnomalyDetectorResource = new Aws.CloudWatch.LogAnomalyDetector("logAnomalyDetectorResource", new()
{
    Enabled = false,
    LogGroupArnLists = new[]
    {
        "string",
    },
    AnomalyVisibilityTime = 0,
    DetectorName = "string",
    EvaluationFrequency = "string",
    FilterPattern = "string",
    KmsKeyId = "string",
    Tags = 
    {
        { "string", "string" },
    },
});

    example, err := cloudwatch.NewLogAnomalyDetector(ctx, "logAnomalyDetectorResource", &cloudwatch.LogAnomalyDetectorArgs{
	Enabled: pulumi.Bool(false),
	LogGroupArnLists: pulumi.StringArray{
		pulumi.String("string"),
	},
	AnomalyVisibilityTime: pulumi.Int(0),
	DetectorName:          pulumi.String("string"),
	EvaluationFrequency:   pulumi.String("string"),
	FilterPattern:         pulumi.String("string"),
	KmsKeyId:              pulumi.String("string"),
	Tags: pulumi.StringMap{
		"string": pulumi.String("string"),
	},
})

    var logAnomalyDetectorResource = new LogAnomalyDetector("logAnomalyDetectorResource", LogAnomalyDetectorArgs.builder()
    .enabled(false)
    .logGroupArnLists("string")
    .anomalyVisibilityTime(0)
    .detectorName("string")
    .evaluationFrequency("string")
    .filterPattern("string")
    .kmsKeyId("string")
    .tags(Map.of("string", "string"))
    .build());

    log_anomaly_detector_resource = aws.cloudwatch.LogAnomalyDetector("logAnomalyDetectorResource",
    enabled=False,
    log_group_arn_lists=["string"],
    anomaly_visibility_time=0,
    detector_name="string",
    evaluation_frequency="string",
    filter_pattern="string",
    kms_key_id="string",
    tags={
        "string": "string",
    })

    const logAnomalyDetectorResource = new aws.cloudwatch.LogAnomalyDetector("logAnomalyDetectorResource", {
    enabled: false,
    logGroupArnLists: ["string"],
    anomalyVisibilityTime: 0,
    detectorName: "string",
    evaluationFrequency: "string",
    filterPattern: "string",
    kmsKeyId: "string",
    tags: {
        string: "string",
    },
});

    type: aws:cloudwatch:LogAnomalyDetector
properties:
    anomalyVisibilityTime: 0
    detectorName: string
    enabled: false
    evaluationFrequency: string
    filterPattern: string
    kmsKeyId: string
    logGroupArnLists:
        - string
    tags:
        string: string

    LogAnomalyDetector 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 LogAnomalyDetector resource accepts the following input properties:

    Enabled bool
    LogGroupArnLists List<string>

    Array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.

    The following arguments are optional:

    AnomalyVisibilityTime int
    Number of days to have visibility on an anomaly. After this time period has elapsed for an anomaly, it will be automatically baselined and the anomaly detector will treat new occurrences of a similar anomaly as normal. Therefore, if you do not correct the cause of an anomaly during the time period specified in anomaly_visibility_time, it will be considered normal going forward and will not be detected as an anomaly. Valid Range: Minimum value of 7. Maximum value of 90.
    DetectorName string
    Name for this anomaly detector.
    EvaluationFrequency string
    Specifies how often the anomaly detector is to run and look for anomalies. Set this value according to the frequency that the log group receives new logs. For example, if the log group receives new log events every 10 minutes, then 15 minutes might be a good setting for evaluation_frequency. Valid Values: ONE_MIN | FIVE_MIN | TEN_MIN | FIFTEEN_MIN | THIRTY_MIN | ONE_HOUR.
    FilterPattern string
    You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here. For more information, see Filter and Pattern Syntax.
    KmsKeyId string
    Optionally assigns a AWS KMS key to secure this anomaly detector and its findings. If a key is assigned, the anomalies found and the model used by this detector are encrypted at rest with the key. If a key is assigned to an anomaly detector, a user must have permissions for both this key and for the anomaly detector to retrieve information about the anomalies that it finds.
    Tags Dictionary<string, string>
    Enabled bool
    LogGroupArnLists []string

    Array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.

    The following arguments are optional:

    AnomalyVisibilityTime int
    Number of days to have visibility on an anomaly. After this time period has elapsed for an anomaly, it will be automatically baselined and the anomaly detector will treat new occurrences of a similar anomaly as normal. Therefore, if you do not correct the cause of an anomaly during the time period specified in anomaly_visibility_time, it will be considered normal going forward and will not be detected as an anomaly. Valid Range: Minimum value of 7. Maximum value of 90.
    DetectorName string
    Name for this anomaly detector.
    EvaluationFrequency string
    Specifies how often the anomaly detector is to run and look for anomalies. Set this value according to the frequency that the log group receives new logs. For example, if the log group receives new log events every 10 minutes, then 15 minutes might be a good setting for evaluation_frequency. Valid Values: ONE_MIN | FIVE_MIN | TEN_MIN | FIFTEEN_MIN | THIRTY_MIN | ONE_HOUR.
    FilterPattern string
    You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here. For more information, see Filter and Pattern Syntax.
    KmsKeyId string
    Optionally assigns a AWS KMS key to secure this anomaly detector and its findings. If a key is assigned, the anomalies found and the model used by this detector are encrypted at rest with the key. If a key is assigned to an anomaly detector, a user must have permissions for both this key and for the anomaly detector to retrieve information about the anomalies that it finds.
    Tags map[string]string
    enabled Boolean
    logGroupArnLists List<String>

    Array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.

    The following arguments are optional:

    anomalyVisibilityTime Integer
    Number of days to have visibility on an anomaly. After this time period has elapsed for an anomaly, it will be automatically baselined and the anomaly detector will treat new occurrences of a similar anomaly as normal. Therefore, if you do not correct the cause of an anomaly during the time period specified in anomaly_visibility_time, it will be considered normal going forward and will not be detected as an anomaly. Valid Range: Minimum value of 7. Maximum value of 90.
    detectorName String
    Name for this anomaly detector.
    evaluationFrequency String
    Specifies how often the anomaly detector is to run and look for anomalies. Set this value according to the frequency that the log group receives new logs. For example, if the log group receives new log events every 10 minutes, then 15 minutes might be a good setting for evaluation_frequency. Valid Values: ONE_MIN | FIVE_MIN | TEN_MIN | FIFTEEN_MIN | THIRTY_MIN | ONE_HOUR.
    filterPattern String
    You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here. For more information, see Filter and Pattern Syntax.
    kmsKeyId String
    Optionally assigns a AWS KMS key to secure this anomaly detector and its findings. If a key is assigned, the anomalies found and the model used by this detector are encrypted at rest with the key. If a key is assigned to an anomaly detector, a user must have permissions for both this key and for the anomaly detector to retrieve information about the anomalies that it finds.
    tags Map<String,String>
    enabled boolean
    logGroupArnLists string[]

    Array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.

    The following arguments are optional:

    anomalyVisibilityTime number
    Number of days to have visibility on an anomaly. After this time period has elapsed for an anomaly, it will be automatically baselined and the anomaly detector will treat new occurrences of a similar anomaly as normal. Therefore, if you do not correct the cause of an anomaly during the time period specified in anomaly_visibility_time, it will be considered normal going forward and will not be detected as an anomaly. Valid Range: Minimum value of 7. Maximum value of 90.
    detectorName string
    Name for this anomaly detector.
    evaluationFrequency string
    Specifies how often the anomaly detector is to run and look for anomalies. Set this value according to the frequency that the log group receives new logs. For example, if the log group receives new log events every 10 minutes, then 15 minutes might be a good setting for evaluation_frequency. Valid Values: ONE_MIN | FIVE_MIN | TEN_MIN | FIFTEEN_MIN | THIRTY_MIN | ONE_HOUR.
    filterPattern string
    You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here. For more information, see Filter and Pattern Syntax.
    kmsKeyId string
    Optionally assigns a AWS KMS key to secure this anomaly detector and its findings. If a key is assigned, the anomalies found and the model used by this detector are encrypted at rest with the key. If a key is assigned to an anomaly detector, a user must have permissions for both this key and for the anomaly detector to retrieve information about the anomalies that it finds.
    tags {[key: string]: string}
    enabled bool
    log_group_arn_lists Sequence[str]

    Array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.

    The following arguments are optional:

    anomaly_visibility_time int
    Number of days to have visibility on an anomaly. After this time period has elapsed for an anomaly, it will be automatically baselined and the anomaly detector will treat new occurrences of a similar anomaly as normal. Therefore, if you do not correct the cause of an anomaly during the time period specified in anomaly_visibility_time, it will be considered normal going forward and will not be detected as an anomaly. Valid Range: Minimum value of 7. Maximum value of 90.
    detector_name str
    Name for this anomaly detector.
    evaluation_frequency str
    Specifies how often the anomaly detector is to run and look for anomalies. Set this value according to the frequency that the log group receives new logs. For example, if the log group receives new log events every 10 minutes, then 15 minutes might be a good setting for evaluation_frequency. Valid Values: ONE_MIN | FIVE_MIN | TEN_MIN | FIFTEEN_MIN | THIRTY_MIN | ONE_HOUR.
    filter_pattern str
    You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here. For more information, see Filter and Pattern Syntax.
    kms_key_id str
    Optionally assigns a AWS KMS key to secure this anomaly detector and its findings. If a key is assigned, the anomalies found and the model used by this detector are encrypted at rest with the key. If a key is assigned to an anomaly detector, a user must have permissions for both this key and for the anomaly detector to retrieve information about the anomalies that it finds.
    tags Mapping[str, str]
    enabled Boolean
    logGroupArnLists List<String>

    Array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.

    The following arguments are optional:

    anomalyVisibilityTime Number
    Number of days to have visibility on an anomaly. After this time period has elapsed for an anomaly, it will be automatically baselined and the anomaly detector will treat new occurrences of a similar anomaly as normal. Therefore, if you do not correct the cause of an anomaly during the time period specified in anomaly_visibility_time, it will be considered normal going forward and will not be detected as an anomaly. Valid Range: Minimum value of 7. Maximum value of 90.
    detectorName String
    Name for this anomaly detector.
    evaluationFrequency String
    Specifies how often the anomaly detector is to run and look for anomalies. Set this value according to the frequency that the log group receives new logs. For example, if the log group receives new log events every 10 minutes, then 15 minutes might be a good setting for evaluation_frequency. Valid Values: ONE_MIN | FIVE_MIN | TEN_MIN | FIFTEEN_MIN | THIRTY_MIN | ONE_HOUR.
    filterPattern String
    You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here. For more information, see Filter and Pattern Syntax.
    kmsKeyId String
    Optionally assigns a AWS KMS key to secure this anomaly detector and its findings. If a key is assigned, the anomalies found and the model used by this detector are encrypted at rest with the key. If a key is assigned to an anomaly detector, a user must have permissions for both this key and for the anomaly detector to retrieve information about the anomalies that it finds.
    tags Map<String>

    Outputs

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

    Arn string
    ARN of the log anomaly detector that you just created.
    Id string
    The provider-assigned unique ID for this managed resource.
    TagsAll Dictionary<string, string>

    Deprecated: Please use tags instead.

    Arn string
    ARN of the log anomaly detector that you just created.
    Id string
    The provider-assigned unique ID for this managed resource.
    TagsAll map[string]string

    Deprecated: Please use tags instead.

    arn String
    ARN of the log anomaly detector that you just created.
    id String
    The provider-assigned unique ID for this managed resource.
    tagsAll Map<String,String>

    Deprecated: Please use tags instead.

    arn string
    ARN of the log anomaly detector that you just created.
    id string
    The provider-assigned unique ID for this managed resource.
    tagsAll {[key: string]: string}

    Deprecated: Please use tags instead.

    arn str
    ARN of the log anomaly detector that you just created.
    id str
    The provider-assigned unique ID for this managed resource.
    tags_all Mapping[str, str]

    Deprecated: Please use tags instead.

    arn String
    ARN of the log anomaly detector that you just created.
    id String
    The provider-assigned unique ID for this managed resource.
    tagsAll Map<String>

    Deprecated: Please use tags instead.

    Look up Existing LogAnomalyDetector Resource

    Get an existing LogAnomalyDetector resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: LogAnomalyDetectorState, opts?: CustomResourceOptions): LogAnomalyDetector
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        anomaly_visibility_time: Optional[int] = None,
        arn: Optional[str] = None,
        detector_name: Optional[str] = None,
        enabled: Optional[bool] = None,
        evaluation_frequency: Optional[str] = None,
        filter_pattern: Optional[str] = None,
        kms_key_id: Optional[str] = None,
        log_group_arn_lists: Optional[Sequence[str]] = None,
        tags: Optional[Mapping[str, str]] = None,
        tags_all: Optional[Mapping[str, str]] = None) -> LogAnomalyDetector
    func GetLogAnomalyDetector(ctx *Context, name string, id IDInput, state *LogAnomalyDetectorState, opts ...ResourceOption) (*LogAnomalyDetector, error)
    public static LogAnomalyDetector Get(string name, Input<string> id, LogAnomalyDetectorState? state, CustomResourceOptions? opts = null)
    public static LogAnomalyDetector get(String name, Output<String> id, LogAnomalyDetectorState state, CustomResourceOptions options)
    resources:  _:    type: aws:cloudwatch:LogAnomalyDetector    get:      id: ${id}
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    AnomalyVisibilityTime int
    Number of days to have visibility on an anomaly. After this time period has elapsed for an anomaly, it will be automatically baselined and the anomaly detector will treat new occurrences of a similar anomaly as normal. Therefore, if you do not correct the cause of an anomaly during the time period specified in anomaly_visibility_time, it will be considered normal going forward and will not be detected as an anomaly. Valid Range: Minimum value of 7. Maximum value of 90.
    Arn string
    ARN of the log anomaly detector that you just created.
    DetectorName string
    Name for this anomaly detector.
    Enabled bool
    EvaluationFrequency string
    Specifies how often the anomaly detector is to run and look for anomalies. Set this value according to the frequency that the log group receives new logs. For example, if the log group receives new log events every 10 minutes, then 15 minutes might be a good setting for evaluation_frequency. Valid Values: ONE_MIN | FIVE_MIN | TEN_MIN | FIFTEEN_MIN | THIRTY_MIN | ONE_HOUR.
    FilterPattern string
    You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here. For more information, see Filter and Pattern Syntax.
    KmsKeyId string
    Optionally assigns a AWS KMS key to secure this anomaly detector and its findings. If a key is assigned, the anomalies found and the model used by this detector are encrypted at rest with the key. If a key is assigned to an anomaly detector, a user must have permissions for both this key and for the anomaly detector to retrieve information about the anomalies that it finds.
    LogGroupArnLists List<string>

    Array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.

    The following arguments are optional:

    Tags Dictionary<string, string>
    TagsAll Dictionary<string, string>

    Deprecated: Please use tags instead.

    AnomalyVisibilityTime int
    Number of days to have visibility on an anomaly. After this time period has elapsed for an anomaly, it will be automatically baselined and the anomaly detector will treat new occurrences of a similar anomaly as normal. Therefore, if you do not correct the cause of an anomaly during the time period specified in anomaly_visibility_time, it will be considered normal going forward and will not be detected as an anomaly. Valid Range: Minimum value of 7. Maximum value of 90.
    Arn string
    ARN of the log anomaly detector that you just created.
    DetectorName string
    Name for this anomaly detector.
    Enabled bool
    EvaluationFrequency string
    Specifies how often the anomaly detector is to run and look for anomalies. Set this value according to the frequency that the log group receives new logs. For example, if the log group receives new log events every 10 minutes, then 15 minutes might be a good setting for evaluation_frequency. Valid Values: ONE_MIN | FIVE_MIN | TEN_MIN | FIFTEEN_MIN | THIRTY_MIN | ONE_HOUR.
    FilterPattern string
    You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here. For more information, see Filter and Pattern Syntax.
    KmsKeyId string
    Optionally assigns a AWS KMS key to secure this anomaly detector and its findings. If a key is assigned, the anomalies found and the model used by this detector are encrypted at rest with the key. If a key is assigned to an anomaly detector, a user must have permissions for both this key and for the anomaly detector to retrieve information about the anomalies that it finds.
    LogGroupArnLists []string

    Array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.

    The following arguments are optional:

    Tags map[string]string
    TagsAll map[string]string

    Deprecated: Please use tags instead.

    anomalyVisibilityTime Integer
    Number of days to have visibility on an anomaly. After this time period has elapsed for an anomaly, it will be automatically baselined and the anomaly detector will treat new occurrences of a similar anomaly as normal. Therefore, if you do not correct the cause of an anomaly during the time period specified in anomaly_visibility_time, it will be considered normal going forward and will not be detected as an anomaly. Valid Range: Minimum value of 7. Maximum value of 90.
    arn String
    ARN of the log anomaly detector that you just created.
    detectorName String
    Name for this anomaly detector.
    enabled Boolean
    evaluationFrequency String
    Specifies how often the anomaly detector is to run and look for anomalies. Set this value according to the frequency that the log group receives new logs. For example, if the log group receives new log events every 10 minutes, then 15 minutes might be a good setting for evaluation_frequency. Valid Values: ONE_MIN | FIVE_MIN | TEN_MIN | FIFTEEN_MIN | THIRTY_MIN | ONE_HOUR.
    filterPattern String
    You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here. For more information, see Filter and Pattern Syntax.
    kmsKeyId String
    Optionally assigns a AWS KMS key to secure this anomaly detector and its findings. If a key is assigned, the anomalies found and the model used by this detector are encrypted at rest with the key. If a key is assigned to an anomaly detector, a user must have permissions for both this key and for the anomaly detector to retrieve information about the anomalies that it finds.
    logGroupArnLists List<String>

    Array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.

    The following arguments are optional:

    tags Map<String,String>
    tagsAll Map<String,String>

    Deprecated: Please use tags instead.

    anomalyVisibilityTime number
    Number of days to have visibility on an anomaly. After this time period has elapsed for an anomaly, it will be automatically baselined and the anomaly detector will treat new occurrences of a similar anomaly as normal. Therefore, if you do not correct the cause of an anomaly during the time period specified in anomaly_visibility_time, it will be considered normal going forward and will not be detected as an anomaly. Valid Range: Minimum value of 7. Maximum value of 90.
    arn string
    ARN of the log anomaly detector that you just created.
    detectorName string
    Name for this anomaly detector.
    enabled boolean
    evaluationFrequency string
    Specifies how often the anomaly detector is to run and look for anomalies. Set this value according to the frequency that the log group receives new logs. For example, if the log group receives new log events every 10 minutes, then 15 minutes might be a good setting for evaluation_frequency. Valid Values: ONE_MIN | FIVE_MIN | TEN_MIN | FIFTEEN_MIN | THIRTY_MIN | ONE_HOUR.
    filterPattern string
    You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here. For more information, see Filter and Pattern Syntax.
    kmsKeyId string
    Optionally assigns a AWS KMS key to secure this anomaly detector and its findings. If a key is assigned, the anomalies found and the model used by this detector are encrypted at rest with the key. If a key is assigned to an anomaly detector, a user must have permissions for both this key and for the anomaly detector to retrieve information about the anomalies that it finds.
    logGroupArnLists string[]

    Array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.

    The following arguments are optional:

    tags {[key: string]: string}
    tagsAll {[key: string]: string}

    Deprecated: Please use tags instead.

    anomaly_visibility_time int
    Number of days to have visibility on an anomaly. After this time period has elapsed for an anomaly, it will be automatically baselined and the anomaly detector will treat new occurrences of a similar anomaly as normal. Therefore, if you do not correct the cause of an anomaly during the time period specified in anomaly_visibility_time, it will be considered normal going forward and will not be detected as an anomaly. Valid Range: Minimum value of 7. Maximum value of 90.
    arn str
    ARN of the log anomaly detector that you just created.
    detector_name str
    Name for this anomaly detector.
    enabled bool
    evaluation_frequency str
    Specifies how often the anomaly detector is to run and look for anomalies. Set this value according to the frequency that the log group receives new logs. For example, if the log group receives new log events every 10 minutes, then 15 minutes might be a good setting for evaluation_frequency. Valid Values: ONE_MIN | FIVE_MIN | TEN_MIN | FIFTEEN_MIN | THIRTY_MIN | ONE_HOUR.
    filter_pattern str
    You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here. For more information, see Filter and Pattern Syntax.
    kms_key_id str
    Optionally assigns a AWS KMS key to secure this anomaly detector and its findings. If a key is assigned, the anomalies found and the model used by this detector are encrypted at rest with the key. If a key is assigned to an anomaly detector, a user must have permissions for both this key and for the anomaly detector to retrieve information about the anomalies that it finds.
    log_group_arn_lists Sequence[str]

    Array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.

    The following arguments are optional:

    tags Mapping[str, str]
    tags_all Mapping[str, str]

    Deprecated: Please use tags instead.

    anomalyVisibilityTime Number
    Number of days to have visibility on an anomaly. After this time period has elapsed for an anomaly, it will be automatically baselined and the anomaly detector will treat new occurrences of a similar anomaly as normal. Therefore, if you do not correct the cause of an anomaly during the time period specified in anomaly_visibility_time, it will be considered normal going forward and will not be detected as an anomaly. Valid Range: Minimum value of 7. Maximum value of 90.
    arn String
    ARN of the log anomaly detector that you just created.
    detectorName String
    Name for this anomaly detector.
    enabled Boolean
    evaluationFrequency String
    Specifies how often the anomaly detector is to run and look for anomalies. Set this value according to the frequency that the log group receives new logs. For example, if the log group receives new log events every 10 minutes, then 15 minutes might be a good setting for evaluation_frequency. Valid Values: ONE_MIN | FIVE_MIN | TEN_MIN | FIFTEEN_MIN | THIRTY_MIN | ONE_HOUR.
    filterPattern String
    You can use this parameter to limit the anomaly detection model to examine only log events that match the pattern you specify here. For more information, see Filter and Pattern Syntax.
    kmsKeyId String
    Optionally assigns a AWS KMS key to secure this anomaly detector and its findings. If a key is assigned, the anomalies found and the model used by this detector are encrypted at rest with the key. If a key is assigned to an anomaly detector, a user must have permissions for both this key and for the anomaly detector to retrieve information about the anomalies that it finds.
    logGroupArnLists List<String>

    Array containing the ARN of the log group that this anomaly detector will watch. You can specify only one log group ARN.

    The following arguments are optional:

    tags Map<String>
    tagsAll Map<String>

    Deprecated: Please use tags instead.

    Import

    Using pulumi import, import CloudWatch Log Anomaly Detector using the example_id_arg. For example:

    $ pulumi import aws:cloudwatch/logAnomalyDetector:LogAnomalyDetector example log_anomaly_detector-arn-12345678

    To learn more about importing existing cloud resources, see Importing resources.

    Package Details

    Repository
    AWS Classic pulumi/pulumi-aws
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the aws Terraform Provider.
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    AWS v6.73.0 published on Wednesday, Mar 19, 2025 by Pulumi
    pulumi/pulumi-aws