Table of Contents
A low-level client representing Amazon DevOps Guru
Amazon DevOps Guru is a fully managed service that helps you identify anomalous behavior in business critical operational applications. You specify the AWS resources that you want DevOps Guru to cover, then the Amazon CloudWatch metrics and AWS CloudTrail events related to those resources are analyzed. When anomalous behavior is detected, DevOps Guru creates an insight that includes recommendations, related events, and related metrics that can help you improve your operational applications. For more information, see What is Amazon DevOps Guru .
You can specify 1 or 2 Amazon Simple Notification Service topics so you are notified every time a new insight is created. You can also enable DevOps Guru to generate an OpsItem in AWS Systems Manager for each insight to help you manage and track your work addressing insights.
To learn about the DevOps Guru workflow, see How DevOps Guru works . To learn about DevOps Guru concepts, see Concepts in DevOps Guru .
import boto3
client = boto3.client('devops-guru')
These are the available methods:
Adds a notification channel to DevOps Guru. A notification channel is used to notify you about important DevOps Guru events, such as when an insight is generated.
If you use an Amazon SNS topic in another account, you must attach a policy to it that grants DevOps Guru permission to it notifications. DevOps Guru adds the required policy on your behalf to send notifications using Amazon SNS in your account. For more information, see Permissions for cross account Amazon SNS topics .
If you use an Amazon SNS topic that is encrypted by an AWS Key Management Service customer-managed key (CMK), then you must add permissions to the CMK. For more information, see Permissions for AWS KMS–encrypted Amazon SNS topics .
See also: AWS API Documentation
Request Syntax
response = client.add_notification_channel(
Config={
'Sns': {
'TopicArn': 'string'
}
}
)
[REQUIRED]
A NotificationChannelConfig object that specifies what type of notification channel to add. The one supported notification channel is Amazon Simple Notification Service (Amazon SNS).
Information about a notification channel configured in DevOps Guru to send notifications when insights are created.
If you use an Amazon SNS topic in another account, you must attach a policy to it that grants DevOps Guru permission to it notifications. DevOps Guru adds the required policy on your behalf to send notifications using Amazon SNS in your account. For more information, see Permissions for cross account Amazon SNS topics .
If you use an Amazon SNS topic that is encrypted by an AWS Key Management Service customer-managed key (CMK), then you must add permissions to the CMK. For more information, see Permissions for AWS KMS–encrypted Amazon SNS topics .
The Amazon Resource Name (ARN) of an Amazon Simple Notification Service topic.
{
'Id': 'string'
}
Response Structure
The ID of the added notification channel.
Exceptions
Check if an operation can be paginated.
Returns the number of open reactive insights, the number of open proactive insights, and the number of metrics analyzed in your AWS account. Use these numbers to gauge the health of operations in your AWS account.
See also: AWS API Documentation
Request Syntax
response = client.describe_account_health()
{
'OpenReactiveInsights': 123,
'OpenProactiveInsights': 123,
'MetricsAnalyzed': 123,
'ResourceHours': 123
}
Response Structure
An integer that specifies the number of open reactive insights in your AWS account.
An integer that specifies the number of open proactive insights in your AWS account.
An integer that specifies the number of metrics that have been analyzed in your AWS account.
The number of Amazon DevOps Guru resource analysis hours billed to the current AWS account in the last hour.
Exceptions
For the time range passed in, returns the number of open reactive insight that were created, the number of open proactive insights that were created, and the Mean Time to Recover (MTTR) for all closed reactive insights.
See also: AWS API Documentation
Request Syntax
response = client.describe_account_overview(
FromTime=datetime(2015, 1, 1),
ToTime=datetime(2015, 1, 1)
)
[REQUIRED]
The start of the time range passed in. The start time granularity is at the day level. The floor of the start time is used. Returned information occurred after this day.
dict
Response Syntax
{
'ReactiveInsights': 123,
'ProactiveInsights': 123,
'MeanTimeToRecoverInMilliseconds': 123
}
Response Structure
(dict) --
ReactiveInsights (integer) --
An integer that specifies the number of open reactive insights in your AWS account that were created during the time range passed in.
ProactiveInsights (integer) --
An integer that specifies the number of open proactive insights in your AWS account that were created during the time range passed in.
MeanTimeToRecoverInMilliseconds (integer) --
The Mean Time to Recover (MTTR) for all closed insights that were created during the time range passed in.
Exceptions
Returns details about an anomaly that you specify using its ID.
See also: AWS API Documentation
Request Syntax
response = client.describe_anomaly(
Id='string'
)
[REQUIRED]
The ID of the anomaly.
{
'ProactiveAnomaly': {
'Id': 'string',
'Severity': 'LOW'|'MEDIUM'|'HIGH',
'Status': 'ONGOING'|'CLOSED',
'UpdateTime': datetime(2015, 1, 1),
'AnomalyTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'AnomalyReportedTimeRange': {
'OpenTime': datetime(2015, 1, 1),
'CloseTime': datetime(2015, 1, 1)
},
'PredictionTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'SourceDetails': {
'CloudWatchMetrics': [
{
'MetricName': 'string',
'Namespace': 'string',
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'Stat': 'Sum'|'Average'|'SampleCount'|'Minimum'|'Maximum'|'p99'|'p90'|'p50',
'Unit': 'string',
'Period': 123
},
]
},
'AssociatedInsightId': 'string',
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'Limit': 123.0
},
'ReactiveAnomaly': {
'Id': 'string',
'Severity': 'LOW'|'MEDIUM'|'HIGH',
'Status': 'ONGOING'|'CLOSED',
'AnomalyTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'AnomalyReportedTimeRange': {
'OpenTime': datetime(2015, 1, 1),
'CloseTime': datetime(2015, 1, 1)
},
'SourceDetails': {
'CloudWatchMetrics': [
{
'MetricName': 'string',
'Namespace': 'string',
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'Stat': 'Sum'|'Average'|'SampleCount'|'Minimum'|'Maximum'|'p99'|'p90'|'p50',
'Unit': 'string',
'Period': 123
},
]
},
'AssociatedInsightId': 'string',
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
}
}
}
Response Structure
A ReactiveAnomaly object that represents the requested anomaly.
The ID of a proactive anomaly.
The severity of a proactive anomaly.
The status of a proactive anomaly.
The time of the anomaly's most recent update.
A time range that specifies when the observed unusual behavior in an anomaly started and ended. This is different from AnomalyReportedTimeRange , which specifies the time range when DevOps Guru opens and then closes an anomaly.
The time when the anomalous behavior started.
The time when the anomalous behavior ended.
A AnomalyReportedTimeRange object that specifies the time range between when the anomaly is opened and the time when it is closed.
The time when an anomaly is opened.
The time when an anomaly is closed.
The time range during which anomalous behavior in a proactive anomaly or an insight is expected to occur.
The time range during which a metric limit is expected to be exceeded. This applies to proactive insights only.
The time when the behavior in a proactive insight is expected to end.
Details about the source of the analyzed operational data that triggered the anomaly. The one supported source is Amazon CloudWatch metrics.
An array of CloudWatchMetricsDetail object that contains information about the analyzed metrics that displayed anomalous behavior.
Information about an Amazon CloudWatch metric.
The name of the CloudWatch metric.
The namespace of the CloudWatch metric. A namespace is a container for CloudWatch metrics.
An array of CloudWatch dimensions associated with
The dimension of a Amazon CloudWatch metric that is used when DevOps Guru analyzes the resources in your account for operational problems and anomalous behavior. A dimension is a name/value pair that is part of the identity of a metric. A metric can have up to 10 dimensions. For more information, see Dimensions in the Amazon CloudWatch User Guide .
The name of the CloudWatch dimension.
The value of the CloudWatch dimension.
The type of statistic associated with the CloudWatch metric. For more information, see Statistics in the Amazon CloudWatch User Guide .
The unit of measure used for the CloudWatch metric. For example, Bytes , Seconds , Count , and Percent .
The length of time associated with the CloudWatch metric in number of seconds.
The ID of the insight that contains this anomaly. An insight is composed of related anomalies.
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
An array of CloudFormation stack names.
A threshold that was exceeded by behavior in analyzed resources. Exceeding this threshold is related to the anomalous behavior that generated this anomaly.
A ProactiveAnomaly object that represents the requested anomaly.
The ID of the reactive anomaly.
The severity of the anomaly.
The status of the anomaly.
A time range that specifies when the observed unusual behavior in an anomaly started and ended. This is different from AnomalyReportedTimeRange , which specifies the time range when DevOps Guru opens and then closes an anomaly.
The time when the anomalous behavior started.
The time when the anomalous behavior ended.
A AnomalyReportedTimeRange object that specifies the time range between when the anomaly is opened and the time when it is closed.
The time when an anomaly is opened.
The time when an anomaly is closed.
Details about the source of the analyzed operational data that triggered the anomaly. The one supported source is Amazon CloudWatch metrics.
An array of CloudWatchMetricsDetail object that contains information about the analyzed metrics that displayed anomalous behavior.
Information about an Amazon CloudWatch metric.
The name of the CloudWatch metric.
The namespace of the CloudWatch metric. A namespace is a container for CloudWatch metrics.
An array of CloudWatch dimensions associated with
The dimension of a Amazon CloudWatch metric that is used when DevOps Guru analyzes the resources in your account for operational problems and anomalous behavior. A dimension is a name/value pair that is part of the identity of a metric. A metric can have up to 10 dimensions. For more information, see Dimensions in the Amazon CloudWatch User Guide .
The name of the CloudWatch dimension.
The value of the CloudWatch dimension.
The type of statistic associated with the CloudWatch metric. For more information, see Statistics in the Amazon CloudWatch User Guide .
The unit of measure used for the CloudWatch metric. For example, Bytes , Seconds , Count , and Percent .
The length of time associated with the CloudWatch metric in number of seconds.
The ID of the insight that contains this anomaly. An insight is composed of related anomalies.
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
An array of CloudFormation stack names.
Exceptions
Returns the most recent feedback submitted in the current AWS account and Region.
See also: AWS API Documentation
Request Syntax
response = client.describe_feedback(
InsightId='string'
)
{
'InsightFeedback': {
'Id': 'string',
'Feedback': 'VALID_COLLECTION'|'RECOMMENDATION_USEFUL'|'ALERT_TOO_SENSITIVE'|'DATA_NOISY_ANOMALY'|'DATA_INCORRECT'
}
}
Response Structure
Information about insight feedback received from a customer.
The insight feedback ID.
The feedback provided by the customer.
Exceptions
Returns details about an insight that you specify using its ID.
See also: AWS API Documentation
Request Syntax
response = client.describe_insight(
Id='string'
)
[REQUIRED]
The ID of the insight.
{
'ProactiveInsight': {
'Id': 'string',
'Name': 'string',
'Severity': 'LOW'|'MEDIUM'|'HIGH',
'Status': 'ONGOING'|'CLOSED',
'InsightTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'PredictionTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'SsmOpsItemId': 'string'
},
'ReactiveInsight': {
'Id': 'string',
'Name': 'string',
'Severity': 'LOW'|'MEDIUM'|'HIGH',
'Status': 'ONGOING'|'CLOSED',
'InsightTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'SsmOpsItemId': 'string'
}
}
Response Structure
A ProactiveInsight object that represents the requested insight.
The ID of the proactive insight.
The name of the proactive insight.
The severity of the proactive insight.
The status of the proactive insight.
A time ranged that specifies when the observed behavior in an insight started and ended.
The time when the behavior described in an insight started.
The time when the behavior described in an insight ended.
The time range during which anomalous behavior in a proactive anomaly or an insight is expected to occur.
The time range during which a metric limit is expected to be exceeded. This applies to proactive insights only.
The time when the behavior in a proactive insight is expected to end.
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
An array of CloudFormation stack names.
The ID of the AWS System Manager OpsItem created for this insight. You must enable the creation of OpstItems insights before they are created for each insight.
A ReactiveInsight object that represents the requested insight.
The ID of a reactive insight.
The name of a reactive insight.
The severity of a reactive insight.
The status of a reactive insight.
A time ranged that specifies when the observed behavior in an insight started and ended.
The time when the behavior described in an insight started.
The time when the behavior described in an insight ended.
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
An array of CloudFormation stack names.
The ID of the AWS System Manager OpsItem created for this insight. You must enable the creation of OpstItems insights before they are created for each insight.
Exceptions
Returns the number of open proactive insights, open reactive insights, and the Mean Time to Recover (MTTR) for all closed insights in resource collections in your account. You specify the type of AWS resources collection. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
See also: AWS API Documentation
Request Syntax
response = client.describe_resource_collection_health(
ResourceCollectionType='AWS_CLOUD_FORMATION'|'AWS_SERVICE',
NextToken='string'
)
[REQUIRED]
An AWS resource collection type. This type specifies how analyzed AWS resources are defined. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
dict
Response Syntax
{
'CloudFormation': [
{
'StackName': 'string',
'Insight': {
'OpenProactiveInsights': 123,
'OpenReactiveInsights': 123,
'MeanTimeToRecoverInMilliseconds': 123
}
},
],
'Service': [
{
'ServiceName': 'API_GATEWAY'|'APPLICATION_ELB'|'AUTO_SCALING_GROUP'|'CLOUD_FRONT'|'DYNAMO_DB'|'EC2'|'ECS'|'EKS'|'ELASTIC_BEANSTALK'|'ELASTI_CACHE'|'ELB'|'ES'|'KINESIS'|'LAMBDA'|'NAT_GATEWAY'|'NETWORK_ELB'|'RDS'|'REDSHIFT'|'ROUTE_53'|'S3'|'SAGE_MAKER'|'SNS'|'SQS'|'STEP_FUNCTIONS'|'SWF',
'Insight': {
'OpenProactiveInsights': 123,
'OpenReactiveInsights': 123
}
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
CloudFormation (list) --
The returned CloudFormationHealthOverview object that contains an InsightHealthOverview object with the requested system health information.
(dict) --
Information about the health of AWS resources in your account that are specified by an AWS CloudFormation stack.
StackName (string) --
The name of the CloudFormation stack.
Insight (dict) --
Information about the health of the AWS resources in your account that are specified by an AWS CloudFormation stack, including the number of open proactive, open reactive insights, and the Mean Time to Recover (MTTR) of closed insights.
OpenProactiveInsights (integer) --
The number of open proactive insights.
OpenReactiveInsights (integer) --
The number of open reactive insights.
MeanTimeToRecoverInMilliseconds (integer) --
The Meant Time to Recover (MTTR) for the insight.
Service (list) --
An array of ServiceHealth objects that describes the health of the AWS services associated with the resources in the collection.
(dict) --
Represents the health of an AWS service.
ServiceName (string) --
The name of the AWS service.
Insight (dict) --
Represents the health of an AWS service. This is a ServiceInsightHealth that contains the number of open proactive and reactive insights for this service.
OpenProactiveInsights (integer) --
The number of open proactive insights in the AWS service
OpenReactiveInsights (integer) --
The number of open reactive insights in the AWS service
NextToken (string) --
The pagination token to use to retrieve the next page of results for this operation. If there are no more pages, this value is null.
Exceptions
Returns the integration status of services that are integrated with DevOps Guru. The one service that can be integrated with DevOps Guru is AWS Systems Manager, which can be used to create an OpsItem for each generated insight.
See also: AWS API Documentation
Request Syntax
response = client.describe_service_integration()
{
'ServiceIntegration': {
'OpsCenter': {
'OptInStatus': 'ENABLED'|'DISABLED'
}
}
}
Response Structure
Information about the integration of DevOps Guru with another AWS service, such as AWS Systems Manager.
Information about whether DevOps Guru is configured to create an OpsItem in AWS Systems Manager OpsCenter for each created insight.
Specifies if DevOps Guru is enabled to create an AWS Systems Manager OpsItem for each created insight.
Exceptions
Returns an estimate of the monthly cost for DevOps Guru to analyze your AWS resources. For more information, see Estimate your Amazon DevOps Guru costs and Amazon DevOps Guru pricing .
See also: AWS API Documentation
Request Syntax
response = client.get_cost_estimation(
NextToken='string'
)
{
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'Status': 'ONGOING'|'COMPLETED',
'Costs': [
{
'Type': 'string',
'State': 'ACTIVE'|'INACTIVE',
'Count': 123,
'UnitCost': 123.0,
'Cost': 123.0
},
],
'TimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'TotalCost': 123.0,
'NextToken': 'string'
}
Response Structure
The collection of the AWS resources used to create your monthly DevOps Guru cost estimate.
An object that specifies the CloudFormation stack that defines the AWS resources used to create a monthly estimate for DevOps Guru.
An array of CloudFormation stack names. Its size is fixed at 1 item.
The status of creating this cost estimate. If it's still in progress, the status ONGOING is returned. If it is finished, the status COMPLETED is returned.
An array of ResourceCost objects that each contains details about the monthly cost estimate to analyze one of your AWS resources.
An object that contains information about the estimated monthly cost to analyze an AWS resource. For more information, see Estimate your Amazon DevOps Guru costs and Amazon DevOps Guru pricing .
The type of the AWS resource.
The state of the resource. The resource is ACTIVE if it produces metrics, events, or logs within an hour, otherwise it is INACTIVE . You pay for the number of active AWS resource hours analyzed for each resource. Inactive resources are not charged.
The number of active resources analyzed for this service to create a monthly cost estimate.
The price per hour to analyze the resources in the service. For more information, see Estimate your Amazon DevOps Guru costs and Amazon DevOps Guru pricing .
The total estimated monthly cost to analyze the active resources for this resource.
The start and end time of the cost estimation.
The start time of the cost estimation.
The end time of the cost estimation.
The estimated monthly cost to analyze the AWS resources. This value is the sum of the estimated costs to analyze each resource in the Costs object in this response.
The pagination token to use to retrieve the next page of results for this operation. If there are no more pages, this value is null.
Exceptions
Create a paginator for an operation.
Returns lists AWS resources that are of the specified resource collection type. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
See also: AWS API Documentation
Request Syntax
response = client.get_resource_collection(
ResourceCollectionType='AWS_CLOUD_FORMATION'|'AWS_SERVICE',
NextToken='string'
)
[REQUIRED]
The type of AWS resource collections to return. The one valid value is CLOUD_FORMATION for AWS CloudFormation stacks.
dict
Response Syntax
{
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'NextToken': 'string'
}
Response Structure
(dict) --
ResourceCollection (dict) --
The requested list of AWS resource collections. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
CloudFormation (dict) --
Information about AWS CloudFormation stacks. You can use up to 500 stacks to specify which AWS resources in your account to analyze. For more information, see Stacks in the AWS CloudFormation User Guide .
StackNames (list) --
An array of CloudFormation stack names.
NextToken (string) --
The pagination token to use to retrieve the next page of results for this operation. If there are no more pages, this value is null.
Exceptions
Returns an object that can wait for some condition.
Returns a list of the anomalies that belong to an insight that you specify using its ID.
See also: AWS API Documentation
Request Syntax
response = client.list_anomalies_for_insight(
InsightId='string',
StartTimeRange={
'FromTime': datetime(2015, 1, 1),
'ToTime': datetime(2015, 1, 1)
},
MaxResults=123,
NextToken='string'
)
[REQUIRED]
The ID of the insight. The returned anomalies belong to this insight.
A time range used to specify when the requested anomalies started. All returned anomalies started during this time range.
The start time of the time range.
The end time of the time range.
dict
Response Syntax
{
'ProactiveAnomalies': [
{
'Id': 'string',
'Severity': 'LOW'|'MEDIUM'|'HIGH',
'Status': 'ONGOING'|'CLOSED',
'UpdateTime': datetime(2015, 1, 1),
'AnomalyTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'AnomalyReportedTimeRange': {
'OpenTime': datetime(2015, 1, 1),
'CloseTime': datetime(2015, 1, 1)
},
'PredictionTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'SourceDetails': {
'CloudWatchMetrics': [
{
'MetricName': 'string',
'Namespace': 'string',
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'Stat': 'Sum'|'Average'|'SampleCount'|'Minimum'|'Maximum'|'p99'|'p90'|'p50',
'Unit': 'string',
'Period': 123
},
]
},
'AssociatedInsightId': 'string',
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'Limit': 123.0
},
],
'ReactiveAnomalies': [
{
'Id': 'string',
'Severity': 'LOW'|'MEDIUM'|'HIGH',
'Status': 'ONGOING'|'CLOSED',
'AnomalyTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'AnomalyReportedTimeRange': {
'OpenTime': datetime(2015, 1, 1),
'CloseTime': datetime(2015, 1, 1)
},
'SourceDetails': {
'CloudWatchMetrics': [
{
'MetricName': 'string',
'Namespace': 'string',
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'Stat': 'Sum'|'Average'|'SampleCount'|'Minimum'|'Maximum'|'p99'|'p90'|'p50',
'Unit': 'string',
'Period': 123
},
]
},
'AssociatedInsightId': 'string',
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
}
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
ProactiveAnomalies (list) --
An array of ProactiveAnomalySummary objects that represent the requested anomalies
(dict) --
Details about a proactive anomaly. This object is returned by DescribeAnomaly.
Id (string) --
The ID of the anomaly.
Severity (string) --
The severity of the anomaly.
Status (string) --
The status of the anomaly.
UpdateTime (datetime) --
The time of the anomaly's most recent update.
AnomalyTimeRange (dict) --
A time range that specifies when the observed unusual behavior in an anomaly started and ended. This is different from AnomalyReportedTimeRange , which specifies the time range when DevOps Guru opens and then closes an anomaly.
StartTime (datetime) --
The time when the anomalous behavior started.
EndTime (datetime) --
The time when the anomalous behavior ended.
AnomalyReportedTimeRange (dict) --
A AnomalyReportedTimeRange object that specifies the time range between when the anomaly is opened and the time when it is closed.
OpenTime (datetime) --
The time when an anomaly is opened.
CloseTime (datetime) --
The time when an anomaly is closed.
PredictionTimeRange (dict) --
The time range during which anomalous behavior in a proactive anomaly or an insight is expected to occur.
StartTime (datetime) --
The time range during which a metric limit is expected to be exceeded. This applies to proactive insights only.
EndTime (datetime) --
The time when the behavior in a proactive insight is expected to end.
SourceDetails (dict) --
Details about the source of the analyzed operational data that triggered the anomaly. The one supported source is Amazon CloudWatch metrics.
CloudWatchMetrics (list) --
An array of CloudWatchMetricsDetail object that contains information about the analyzed metrics that displayed anomalous behavior.
(dict) --
Information about an Amazon CloudWatch metric.
MetricName (string) --
The name of the CloudWatch metric.
Namespace (string) --
The namespace of the CloudWatch metric. A namespace is a container for CloudWatch metrics.
Dimensions (list) --
An array of CloudWatch dimensions associated with
(dict) --
The dimension of a Amazon CloudWatch metric that is used when DevOps Guru analyzes the resources in your account for operational problems and anomalous behavior. A dimension is a name/value pair that is part of the identity of a metric. A metric can have up to 10 dimensions. For more information, see Dimensions in the Amazon CloudWatch User Guide .
Name (string) --
The name of the CloudWatch dimension.
Value (string) --
The value of the CloudWatch dimension.
Stat (string) --
The type of statistic associated with the CloudWatch metric. For more information, see Statistics in the Amazon CloudWatch User Guide .
Unit (string) --
The unit of measure used for the CloudWatch metric. For example, Bytes , Seconds , Count , and Percent .
Period (integer) --
The length of time associated with the CloudWatch metric in number of seconds.
AssociatedInsightId (string) --
The ID of the insight that contains this anomaly. An insight is composed of related anomalies.
ResourceCollection (dict) --
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
CloudFormation (dict) --
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
StackNames (list) --
An array of CloudFormation stack names.
Limit (float) --
A threshold that was exceeded by behavior in analyzed resources. Exceeding this threshold is related to the anomalous behavior that generated this anomaly.
ReactiveAnomalies (list) --
An array of ReactiveAnomalySummary objects that represent the requested anomalies
(dict) --
Details about a reactive anomaly. This object is returned by DescribeAnomaly.
Id (string) --
The ID of the reactive anomaly.
Severity (string) --
The severity of the reactive anomaly.
Status (string) --
The status of the reactive anomaly.
AnomalyTimeRange (dict) --
A time range that specifies when the observed unusual behavior in an anomaly started and ended. This is different from AnomalyReportedTimeRange , which specifies the time range when DevOps Guru opens and then closes an anomaly.
StartTime (datetime) --
The time when the anomalous behavior started.
EndTime (datetime) --
The time when the anomalous behavior ended.
AnomalyReportedTimeRange (dict) --
A AnomalyReportedTimeRange object that specifies the time range between when the anomaly is opened and the time when it is closed.
OpenTime (datetime) --
The time when an anomaly is opened.
CloseTime (datetime) --
The time when an anomaly is closed.
SourceDetails (dict) --
Details about the source of the analyzed operational data that triggered the anomaly. The one supported source is Amazon CloudWatch metrics.
CloudWatchMetrics (list) --
An array of CloudWatchMetricsDetail object that contains information about the analyzed metrics that displayed anomalous behavior.
(dict) --
Information about an Amazon CloudWatch metric.
MetricName (string) --
The name of the CloudWatch metric.
Namespace (string) --
The namespace of the CloudWatch metric. A namespace is a container for CloudWatch metrics.
Dimensions (list) --
An array of CloudWatch dimensions associated with
(dict) --
The dimension of a Amazon CloudWatch metric that is used when DevOps Guru analyzes the resources in your account for operational problems and anomalous behavior. A dimension is a name/value pair that is part of the identity of a metric. A metric can have up to 10 dimensions. For more information, see Dimensions in the Amazon CloudWatch User Guide .
Name (string) --
The name of the CloudWatch dimension.
Value (string) --
The value of the CloudWatch dimension.
Stat (string) --
The type of statistic associated with the CloudWatch metric. For more information, see Statistics in the Amazon CloudWatch User Guide .
Unit (string) --
The unit of measure used for the CloudWatch metric. For example, Bytes , Seconds , Count , and Percent .
Period (integer) --
The length of time associated with the CloudWatch metric in number of seconds.
AssociatedInsightId (string) --
The ID of the insight that contains this anomaly. An insight is composed of related anomalies.
ResourceCollection (dict) --
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
CloudFormation (dict) --
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
StackNames (list) --
An array of CloudFormation stack names.
NextToken (string) --
The pagination token to use to retrieve the next page of results for this operation. If there are no more pages, this value is null.
Exceptions
Returns a list of the events emitted by the resources that are evaluated by DevOps Guru. You can use filters to specify which events are returned.
See also: AWS API Documentation
Request Syntax
response = client.list_events(
Filters={
'InsightId': 'string',
'EventTimeRange': {
'FromTime': datetime(2015, 1, 1),
'ToTime': datetime(2015, 1, 1)
},
'EventClass': 'INFRASTRUCTURE'|'DEPLOYMENT'|'SECURITY_CHANGE'|'CONFIG_CHANGE'|'SCHEMA_CHANGE',
'EventSource': 'string',
'DataSource': 'AWS_CLOUD_TRAIL'|'AWS_CODE_DEPLOY',
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
}
},
MaxResults=123,
NextToken='string'
)
[REQUIRED]
A ListEventsFilters object used to specify which events to return.
An ID of an insight that is related to the events you want to filter for.
A time range during which you want the filtered events to have occurred.
The time when the event started.
The time when the event ended.
The class of the events you want to filter for, such as an infrastructure change, a deployment, or a schema change.
The AWS source that emitted the events you want to filter for.
The source, AWS_CLOUD_TRAIL or AWS_CODE_DEPLOY , of the events you want returned.
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
An array of CloudFormation stack names.
dict
Response Syntax
{
'Events': [
{
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'Id': 'string',
'Time': datetime(2015, 1, 1),
'EventSource': 'string',
'Name': 'string',
'DataSource': 'AWS_CLOUD_TRAIL'|'AWS_CODE_DEPLOY',
'EventClass': 'INFRASTRUCTURE'|'DEPLOYMENT'|'SECURITY_CHANGE'|'CONFIG_CHANGE'|'SCHEMA_CHANGE',
'Resources': [
{
'Type': 'string',
'Name': 'string',
'Arn': 'string'
},
]
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
Events (list) --
A list of the requested events.
(dict) --
An AWS resource event. AWS resource events and metrics are analyzed by DevOps Guru to find anomalous behavior and provide recommendations to improve your operational solutions.
ResourceCollection (dict) --
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
CloudFormation (dict) --
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
StackNames (list) --
An array of CloudFormation stack names.
Id (string) --
The ID of the event.
Time (datetime) --
A Timestamp that specifies the time the event occurred.
EventSource (string) --
The AWS source that emitted the event.
Name (string) --
The name of the event.
DataSource (string) --
The source, AWS_CLOUD_TRAIL or AWS_CODE_DEPLOY , where DevOps Guru analysis found the event.
EventClass (string) --
The class of the event. The class specifies what the event is related to, such as an infrastructure change, a deployment, or a schema change.
Resources (list) --
An EventResource object that contains information about the resource that emitted the event.
(dict) --
The AWS resource that emitted an event. AWS resource events and metrics are analyzed by DevOps Guru to find anomalous behavior and provide recommendations to improve your operational solutions.
Type (string) --
The type of resource that emitted an event.
Name (string) --
The name of the resource that emitted an event.
Arn (string) --
The Amazon Resource Name (ARN) of the resource that emitted an event.
NextToken (string) --
The pagination token to use to retrieve the next page of results for this operation. If there are no more pages, this value is null.
Exceptions
Returns a list of insights in your AWS account. You can specify which insights are returned by their start time and status (ONGOING , CLOSED , or ANY ).
See also: AWS API Documentation
Request Syntax
response = client.list_insights(
StatusFilter={
'Ongoing': {
'Type': 'REACTIVE'|'PROACTIVE'
},
'Closed': {
'Type': 'REACTIVE'|'PROACTIVE',
'EndTimeRange': {
'FromTime': datetime(2015, 1, 1),
'ToTime': datetime(2015, 1, 1)
}
},
'Any': {
'Type': 'REACTIVE'|'PROACTIVE',
'StartTimeRange': {
'FromTime': datetime(2015, 1, 1),
'ToTime': datetime(2015, 1, 1)
}
}
},
MaxResults=123,
NextToken='string'
)
[REQUIRED]
A filter used to filter the returned insights by their status. You can specify one status filter.
A ListInsightsAnyStatusFilter that specifies ongoing insights that are either REACTIVE or PROACTIVE .
Use to filter for either REACTIVE or PROACTIVE insights.
A ListInsightsClosedStatusFilter that specifies closed insights that are either REACTIVE or PROACTIVE .
Use to filter for either REACTIVE or PROACTIVE insights.
A time range used to specify when the behavior of the filtered insights ended.
The earliest end time in the time range.
The latest end time in the time range.
A ListInsightsAnyStatusFilter that specifies insights of any status that are either REACTIVE or PROACTIVE .
Use to filter for either REACTIVE or PROACTIVE insights.
A time range used to specify when the behavior of the filtered insights started.
The start time of the time range.
The end time of the time range.
dict
Response Syntax
{
'ProactiveInsights': [
{
'Id': 'string',
'Name': 'string',
'Severity': 'LOW'|'MEDIUM'|'HIGH',
'Status': 'ONGOING'|'CLOSED',
'InsightTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'PredictionTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'ServiceCollection': {
'ServiceNames': [
'API_GATEWAY'|'APPLICATION_ELB'|'AUTO_SCALING_GROUP'|'CLOUD_FRONT'|'DYNAMO_DB'|'EC2'|'ECS'|'EKS'|'ELASTIC_BEANSTALK'|'ELASTI_CACHE'|'ELB'|'ES'|'KINESIS'|'LAMBDA'|'NAT_GATEWAY'|'NETWORK_ELB'|'RDS'|'REDSHIFT'|'ROUTE_53'|'S3'|'SAGE_MAKER'|'SNS'|'SQS'|'STEP_FUNCTIONS'|'SWF',
]
}
},
],
'ReactiveInsights': [
{
'Id': 'string',
'Name': 'string',
'Severity': 'LOW'|'MEDIUM'|'HIGH',
'Status': 'ONGOING'|'CLOSED',
'InsightTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'ServiceCollection': {
'ServiceNames': [
'API_GATEWAY'|'APPLICATION_ELB'|'AUTO_SCALING_GROUP'|'CLOUD_FRONT'|'DYNAMO_DB'|'EC2'|'ECS'|'EKS'|'ELASTIC_BEANSTALK'|'ELASTI_CACHE'|'ELB'|'ES'|'KINESIS'|'LAMBDA'|'NAT_GATEWAY'|'NETWORK_ELB'|'RDS'|'REDSHIFT'|'ROUTE_53'|'S3'|'SAGE_MAKER'|'SNS'|'SQS'|'STEP_FUNCTIONS'|'SWF',
]
}
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
ProactiveInsights (list) --
The returned list of proactive insights.
(dict) --
Details about a proactive insight. This object is returned by DescribeInsight.
Id (string) --
The ID of the proactive insight.
Name (string) --
The name of the proactive insight.
Severity (string) --
The severity of the proactive insight.
Status (string) --
The status of the proactive insight.
InsightTimeRange (dict) --
A time ranged that specifies when the observed behavior in an insight started and ended.
StartTime (datetime) --
The time when the behavior described in an insight started.
EndTime (datetime) --
The time when the behavior described in an insight ended.
PredictionTimeRange (dict) --
The time range during which anomalous behavior in a proactive anomaly or an insight is expected to occur.
StartTime (datetime) --
The time range during which a metric limit is expected to be exceeded. This applies to proactive insights only.
EndTime (datetime) --
The time when the behavior in a proactive insight is expected to end.
ResourceCollection (dict) --
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
CloudFormation (dict) --
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
StackNames (list) --
An array of CloudFormation stack names.
ServiceCollection (dict) --
A collection of the names of AWS services.
ServiceNames (list) --
An array of strings that each specifies the name of an AWS service.
ReactiveInsights (list) --
The returned list of reactive insights.
(dict) --
Information about a reactive insight. This object is returned by DescribeInsight.
Id (string) --
The ID of a reactive summary.
Name (string) --
The name of a reactive insight.
Severity (string) --
The severity of a reactive insight.
Status (string) --
The status of a reactive insight.
InsightTimeRange (dict) --
A time ranged that specifies when the observed behavior in an insight started and ended.
StartTime (datetime) --
The time when the behavior described in an insight started.
EndTime (datetime) --
The time when the behavior described in an insight ended.
ResourceCollection (dict) --
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
CloudFormation (dict) --
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
StackNames (list) --
An array of CloudFormation stack names.
ServiceCollection (dict) --
A collection of the names of AWS services.
ServiceNames (list) --
An array of strings that each specifies the name of an AWS service.
NextToken (string) --
The pagination token to use to retrieve the next page of results for this operation. If there are no more pages, this value is null.
Exceptions
Returns a list of notification channels configured for DevOps Guru. Each notification channel is used to notify you when DevOps Guru generates an insight that contains information about how to improve your operations. The one supported notification channel is Amazon Simple Notification Service (Amazon SNS).
See also: AWS API Documentation
Request Syntax
response = client.list_notification_channels(
NextToken='string'
)
{
'Channels': [
{
'Id': 'string',
'Config': {
'Sns': {
'TopicArn': 'string'
}
}
},
],
'NextToken': 'string'
}
Response Structure
An array that contains the requested notification channels.
Information about a notification channel. A notification channel is used to notify you when DevOps Guru creates an insight. The one supported notification channel is Amazon Simple Notification Service (Amazon SNS).
If you use an Amazon SNS topic in another account, you must attach a policy to it that grants DevOps Guru permission to it notifications. DevOps Guru adds the required policy on your behalf to send notifications using Amazon SNS in your account. For more information, see Permissions for cross account Amazon SNS topics .
If you use an Amazon SNS topic that is encrypted by an AWS Key Management Service customer-managed key (CMK), then you must add permissions to the CMK. For more information, see Permissions for AWS KMS–encrypted Amazon SNS topics .
The ID of a notification channel.
A NotificationChannelConfig object that contains information about configured notification channels.
Information about a notification channel configured in DevOps Guru to send notifications when insights are created.
If you use an Amazon SNS topic in another account, you must attach a policy to it that grants DevOps Guru permission to it notifications. DevOps Guru adds the required policy on your behalf to send notifications using Amazon SNS in your account. For more information, see Permissions for cross account Amazon SNS topics .
If you use an Amazon SNS topic that is encrypted by an AWS Key Management Service customer-managed key (CMK), then you must add permissions to the CMK. For more information, see Permissions for AWS KMS–encrypted Amazon SNS topics .
The Amazon Resource Name (ARN) of an Amazon Simple Notification Service topic.
The pagination token to use to retrieve the next page of results for this operation. If there are no more pages, this value is null.
Exceptions
Returns a list of a specified insight's recommendations. Each recommendation includes a list of related metrics and a list of related events.
See also: AWS API Documentation
Request Syntax
response = client.list_recommendations(
InsightId='string',
NextToken='string',
Locale='DE_DE'|'EN_US'|'EN_GB'|'ES_ES'|'FR_FR'|'IT_IT'|'JA_JP'|'KO_KR'|'PT_BR'|'ZH_CN'|'ZH_TW'
)
[REQUIRED]
The ID of the requested insight.
dict
Response Syntax
{
'Recommendations': [
{
'Description': 'string',
'Link': 'string',
'Name': 'string',
'Reason': 'string',
'RelatedEvents': [
{
'Name': 'string',
'Resources': [
{
'Name': 'string',
'Type': 'string'
},
]
},
],
'RelatedAnomalies': [
{
'Resources': [
{
'Name': 'string',
'Type': 'string'
},
],
'SourceDetails': [
{
'CloudWatchMetrics': [
{
'MetricName': 'string',
'Namespace': 'string'
},
]
},
]
},
]
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
Recommendations (list) --
An array of the requested recommendations.
(dict) --
Recommendation information to help you remediate detected anomalous behavior that generated an insight.
Description (string) --
A description of the problem.
Link (string) --
A hyperlink to information to help you address the problem.
Name (string) --
The name of the recommendation.
Reason (string) --
The reason DevOps Guru flagged the anomalous behavior as a problem.
RelatedEvents (list) --
Events that are related to the problem. Use these events to learn more about what's happening and to help address the issue.
(dict) --
Information about an event that is related to a recommendation.
Name (string) --
The name of the event. This corresponds to the Name field in an Event object.
Resources (list) --
A ResourceCollection object that contains arrays of the names of AWS CloudFormation stacks. You can specify up to 500 AWS CloudFormation stacks.
(dict) --
Information about an AWS resource that emitted and event that is related to a recommendation in an insight.
Name (string) --
The name of the resource that emitted the event. This corresponds to the Name field in an EventResource object.
Type (string) --
The type of the resource that emitted the event. This corresponds to the Type field in an EventResource object.
RelatedAnomalies (list) --
Anomalies that are related to the problem. Use these Anomalies to learn more about what's happening and to help address the issue.
(dict) --
Information about an anomaly that is related to a recommendation.
Resources (list) --
An array of objects that represent resources in which DevOps Guru detected anomalous behavior. Each object contains the name and type of the resource.
(dict) --
Information about a resource in which DevOps Guru detected anomalous behavior.
Name (string) --
The name of the resource.
Type (string) --
The type of the resource.
SourceDetails (list) --
Information about where the anomalous behavior related the recommendation was found. For example, details in Amazon CloudWatch metrics.
(dict) --
Contains an array of RecommendationRelatedCloudWatchMetricsSourceDetail objects that contain the name and namespace of an Amazon CloudWatch metric.
CloudWatchMetrics (list) --
An array of CloudWatchMetricsDetail objects that contains information about the analyzed metrics that displayed anomalous behavior.
(dict) --
Information about an Amazon CloudWatch metric that is analyzed by DevOps Guru. It is one of many analyzed metrics that are used to generate insights.
MetricName (string) --
The name of the CloudWatch metric.
Namespace (string) --
The namespace of the CloudWatch metric. A namespace is a container for CloudWatch metrics.
NextToken (string) --
The pagination token to use to retrieve the next page of results for this operation. If there are no more pages, this value is null.
Exceptions
Collects customer feedback about the specified insight.
See also: AWS API Documentation
Request Syntax
response = client.put_feedback(
InsightFeedback={
'Id': 'string',
'Feedback': 'VALID_COLLECTION'|'RECOMMENDATION_USEFUL'|'ALERT_TOO_SENSITIVE'|'DATA_NOISY_ANOMALY'|'DATA_INCORRECT'
}
)
The feedback from customers is about the recommendations in this insight.
The insight feedback ID.
The feedback provided by the customer.
{}
Response Structure
Exceptions
Removes a notification channel from DevOps Guru. A notification channel is used to notify you when DevOps Guru generates an insight that contains information about how to improve your operations.
See also: AWS API Documentation
Request Syntax
response = client.remove_notification_channel(
Id='string'
)
[REQUIRED]
The ID of the notification channel to be removed.
{}
Response Structure
Exceptions
Returns a list of insights in your AWS account. You can specify which insights are returned by their start time, one or more statuses (ONGOING , CLOSED , and CLOSED ), one or more severities (LOW , MEDIUM , and HIGH ), and type (REACTIVE or PROACTIVE ).
Use the Filters parameter to specify status and severity search parameters. Use the Type parameter to specify REACTIVE or PROACTIVE in your search.
See also: AWS API Documentation
Request Syntax
response = client.search_insights(
StartTimeRange={
'FromTime': datetime(2015, 1, 1),
'ToTime': datetime(2015, 1, 1)
},
Filters={
'Severities': [
'LOW'|'MEDIUM'|'HIGH',
],
'Statuses': [
'ONGOING'|'CLOSED',
],
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'ServiceCollection': {
'ServiceNames': [
'API_GATEWAY'|'APPLICATION_ELB'|'AUTO_SCALING_GROUP'|'CLOUD_FRONT'|'DYNAMO_DB'|'EC2'|'ECS'|'EKS'|'ELASTIC_BEANSTALK'|'ELASTI_CACHE'|'ELB'|'ES'|'KINESIS'|'LAMBDA'|'NAT_GATEWAY'|'NETWORK_ELB'|'RDS'|'REDSHIFT'|'ROUTE_53'|'S3'|'SAGE_MAKER'|'SNS'|'SQS'|'STEP_FUNCTIONS'|'SWF',
]
}
},
MaxResults=123,
NextToken='string',
Type='REACTIVE'|'PROACTIVE'
)
[REQUIRED]
The start of the time range passed in. Returned insights occurred after this time.
The start time of the time range.
The end time of the time range.
A SearchInsightsFilters object that is used to set the severity and status filters on your insight search.
An array of severity values used to search for insights.
An array of status values used to search for insights.
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
An array of CloudFormation stack names.
A collection of the names of AWS services.
An array of strings that each specifies the name of an AWS service.
[REQUIRED]
The type of insights you are searching for (REACTIVE or PROACTIVE ).
dict
Response Syntax
{
'ProactiveInsights': [
{
'Id': 'string',
'Name': 'string',
'Severity': 'LOW'|'MEDIUM'|'HIGH',
'Status': 'ONGOING'|'CLOSED',
'InsightTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'PredictionTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'ServiceCollection': {
'ServiceNames': [
'API_GATEWAY'|'APPLICATION_ELB'|'AUTO_SCALING_GROUP'|'CLOUD_FRONT'|'DYNAMO_DB'|'EC2'|'ECS'|'EKS'|'ELASTIC_BEANSTALK'|'ELASTI_CACHE'|'ELB'|'ES'|'KINESIS'|'LAMBDA'|'NAT_GATEWAY'|'NETWORK_ELB'|'RDS'|'REDSHIFT'|'ROUTE_53'|'S3'|'SAGE_MAKER'|'SNS'|'SQS'|'STEP_FUNCTIONS'|'SWF',
]
}
},
],
'ReactiveInsights': [
{
'Id': 'string',
'Name': 'string',
'Severity': 'LOW'|'MEDIUM'|'HIGH',
'Status': 'ONGOING'|'CLOSED',
'InsightTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'ServiceCollection': {
'ServiceNames': [
'API_GATEWAY'|'APPLICATION_ELB'|'AUTO_SCALING_GROUP'|'CLOUD_FRONT'|'DYNAMO_DB'|'EC2'|'ECS'|'EKS'|'ELASTIC_BEANSTALK'|'ELASTI_CACHE'|'ELB'|'ES'|'KINESIS'|'LAMBDA'|'NAT_GATEWAY'|'NETWORK_ELB'|'RDS'|'REDSHIFT'|'ROUTE_53'|'S3'|'SAGE_MAKER'|'SNS'|'SQS'|'STEP_FUNCTIONS'|'SWF',
]
}
},
],
'NextToken': 'string'
}
Response Structure
(dict) --
ProactiveInsights (list) --
The returned proactive insights.
(dict) --
Details about a proactive insight. This object is returned by DescribeInsight.
Id (string) --
The ID of the proactive insight.
Name (string) --
The name of the proactive insight.
Severity (string) --
The severity of the proactive insight.
Status (string) --
The status of the proactive insight.
InsightTimeRange (dict) --
A time ranged that specifies when the observed behavior in an insight started and ended.
StartTime (datetime) --
The time when the behavior described in an insight started.
EndTime (datetime) --
The time when the behavior described in an insight ended.
PredictionTimeRange (dict) --
The time range during which anomalous behavior in a proactive anomaly or an insight is expected to occur.
StartTime (datetime) --
The time range during which a metric limit is expected to be exceeded. This applies to proactive insights only.
EndTime (datetime) --
The time when the behavior in a proactive insight is expected to end.
ResourceCollection (dict) --
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
CloudFormation (dict) --
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
StackNames (list) --
An array of CloudFormation stack names.
ServiceCollection (dict) --
A collection of the names of AWS services.
ServiceNames (list) --
An array of strings that each specifies the name of an AWS service.
ReactiveInsights (list) --
The returned reactive insights.
(dict) --
Information about a reactive insight. This object is returned by DescribeInsight.
Id (string) --
The ID of a reactive summary.
Name (string) --
The name of a reactive insight.
Severity (string) --
The severity of a reactive insight.
Status (string) --
The status of a reactive insight.
InsightTimeRange (dict) --
A time ranged that specifies when the observed behavior in an insight started and ended.
StartTime (datetime) --
The time when the behavior described in an insight started.
EndTime (datetime) --
The time when the behavior described in an insight ended.
ResourceCollection (dict) --
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
CloudFormation (dict) --
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
StackNames (list) --
An array of CloudFormation stack names.
ServiceCollection (dict) --
A collection of the names of AWS services.
ServiceNames (list) --
An array of strings that each specifies the name of an AWS service.
NextToken (string) --
The pagination token to use to retrieve the next page of results for this operation. If there are no more pages, this value is null.
Exceptions
Starts the creation of an estimate of the monthly cost to analyze your AWS resources.
See also: AWS API Documentation
Request Syntax
response = client.start_cost_estimation(
ResourceCollection={
'CloudFormation': {
'StackNames': [
'string',
]
}
},
ClientToken='string'
)
[REQUIRED]
The collection of AWS resources used to create a monthly DevOps Guru cost estimate.
An object that specifies the CloudFormation stack that defines the AWS resources used to create a monthly estimate for DevOps Guru.
An array of CloudFormation stack names. Its size is fixed at 1 item.
The idempotency token used to identify each cost estimate request.
This field is autopopulated if not provided.
dict
Response Syntax
{}
Response Structure
Exceptions
Updates the collection of resources that DevOps Guru analyzes. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks. This method also creates the IAM role required for you to use DevOps Guru.
See also: AWS API Documentation
Request Syntax
response = client.update_resource_collection(
Action='ADD'|'REMOVE',
ResourceCollection={
'CloudFormation': {
'StackNames': [
'string',
]
}
}
)
[REQUIRED]
Specifies if the resource collection in the request is added or deleted to the resource collection.
[REQUIRED]
Contains information used to update a collection of AWS resources.
An collection of AWS CloudFormation stacks. You can specify up to 500 AWS CloudFormation stacks.
An array of the names of the AWS CloudFormation stacks to update. You can specify up to 500 AWS CloudFormation stacks.
dict
Response Syntax
{}
Response Structure
Exceptions
Enables or disables integration with a service that can be integrated with DevOps Guru. The one service that can be integrated with DevOps Guru is AWS Systems Manager, which can be used to create an OpsItem for each generated insight.
See also: AWS API Documentation
Request Syntax
response = client.update_service_integration(
ServiceIntegration={
'OpsCenter': {
'OptInStatus': 'ENABLED'|'DISABLED'
}
}
)
[REQUIRED]
An IntegratedServiceConfig object used to specify the integrated service you want to update, and whether you want to update it to enabled or disabled.
Information about whether DevOps Guru is configured to create an OpsItem in AWS Systems Manager OpsCenter for each created insight.
Specifies if DevOps Guru is enabled to create an AWS Systems Manager OpsItem for each created insight.
{}
Response Structure
Exceptions
The available paginators are:
paginator = client.get_paginator('describe_resource_collection_health')
Creates an iterator that will paginate through responses from DevOpsGuru.Client.describe_resource_collection_health().
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
ResourceCollectionType='AWS_CLOUD_FORMATION'|'AWS_SERVICE',
PaginationConfig={
'MaxItems': 123,
'StartingToken': 'string'
}
)
[REQUIRED]
An AWS resource collection type. This type specifies how analyzed AWS resources are defined. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.
A token to specify where to start paginating. This is the NextToken from a previous response.
dict
Response Syntax
{
'CloudFormation': [
{
'StackName': 'string',
'Insight': {
'OpenProactiveInsights': 123,
'OpenReactiveInsights': 123,
'MeanTimeToRecoverInMilliseconds': 123
}
},
],
'Service': [
{
'ServiceName': 'API_GATEWAY'|'APPLICATION_ELB'|'AUTO_SCALING_GROUP'|'CLOUD_FRONT'|'DYNAMO_DB'|'EC2'|'ECS'|'EKS'|'ELASTIC_BEANSTALK'|'ELASTI_CACHE'|'ELB'|'ES'|'KINESIS'|'LAMBDA'|'NAT_GATEWAY'|'NETWORK_ELB'|'RDS'|'REDSHIFT'|'ROUTE_53'|'S3'|'SAGE_MAKER'|'SNS'|'SQS'|'STEP_FUNCTIONS'|'SWF',
'Insight': {
'OpenProactiveInsights': 123,
'OpenReactiveInsights': 123
}
},
],
}
Response Structure
(dict) --
CloudFormation (list) --
The returned CloudFormationHealthOverview object that contains an InsightHealthOverview object with the requested system health information.
(dict) --
Information about the health of AWS resources in your account that are specified by an AWS CloudFormation stack.
StackName (string) --
The name of the CloudFormation stack.
Insight (dict) --
Information about the health of the AWS resources in your account that are specified by an AWS CloudFormation stack, including the number of open proactive, open reactive insights, and the Mean Time to Recover (MTTR) of closed insights.
OpenProactiveInsights (integer) --
The number of open proactive insights.
OpenReactiveInsights (integer) --
The number of open reactive insights.
MeanTimeToRecoverInMilliseconds (integer) --
The Meant Time to Recover (MTTR) for the insight.
Service (list) --
An array of ServiceHealth objects that describes the health of the AWS services associated with the resources in the collection.
(dict) --
Represents the health of an AWS service.
ServiceName (string) --
The name of the AWS service.
Insight (dict) --
Represents the health of an AWS service. This is a ServiceInsightHealth that contains the number of open proactive and reactive insights for this service.
OpenProactiveInsights (integer) --
The number of open proactive insights in the AWS service
OpenReactiveInsights (integer) --
The number of open reactive insights in the AWS service
paginator = client.get_paginator('get_cost_estimation')
Creates an iterator that will paginate through responses from DevOpsGuru.Client.get_cost_estimation().
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
PaginationConfig={
'MaxItems': 123,
'StartingToken': 'string'
}
)
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.
A token to specify where to start paginating. This is the NextToken from a previous response.
{
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'Status': 'ONGOING'|'COMPLETED',
'Costs': [
{
'Type': 'string',
'State': 'ACTIVE'|'INACTIVE',
'Count': 123,
'UnitCost': 123.0,
'Cost': 123.0
},
],
'TimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'TotalCost': 123.0,
}
Response Structure
The collection of the AWS resources used to create your monthly DevOps Guru cost estimate.
An object that specifies the CloudFormation stack that defines the AWS resources used to create a monthly estimate for DevOps Guru.
An array of CloudFormation stack names. Its size is fixed at 1 item.
The status of creating this cost estimate. If it's still in progress, the status ONGOING is returned. If it is finished, the status COMPLETED is returned.
An array of ResourceCost objects that each contains details about the monthly cost estimate to analyze one of your AWS resources.
An object that contains information about the estimated monthly cost to analyze an AWS resource. For more information, see Estimate your Amazon DevOps Guru costs and Amazon DevOps Guru pricing .
The type of the AWS resource.
The state of the resource. The resource is ACTIVE if it produces metrics, events, or logs within an hour, otherwise it is INACTIVE . You pay for the number of active AWS resource hours analyzed for each resource. Inactive resources are not charged.
The number of active resources analyzed for this service to create a monthly cost estimate.
The price per hour to analyze the resources in the service. For more information, see Estimate your Amazon DevOps Guru costs and Amazon DevOps Guru pricing .
The total estimated monthly cost to analyze the active resources for this resource.
The start and end time of the cost estimation.
The start time of the cost estimation.
The end time of the cost estimation.
The estimated monthly cost to analyze the AWS resources. This value is the sum of the estimated costs to analyze each resource in the Costs object in this response.
paginator = client.get_paginator('get_resource_collection')
Creates an iterator that will paginate through responses from DevOpsGuru.Client.get_resource_collection().
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
ResourceCollectionType='AWS_CLOUD_FORMATION'|'AWS_SERVICE',
PaginationConfig={
'MaxItems': 123,
'StartingToken': 'string'
}
)
[REQUIRED]
The type of AWS resource collections to return. The one valid value is CLOUD_FORMATION for AWS CloudFormation stacks.
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.
A token to specify where to start paginating. This is the NextToken from a previous response.
dict
Response Syntax
{
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
}
Response Structure
(dict) --
ResourceCollection (dict) --
The requested list of AWS resource collections. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
CloudFormation (dict) --
Information about AWS CloudFormation stacks. You can use up to 500 stacks to specify which AWS resources in your account to analyze. For more information, see Stacks in the AWS CloudFormation User Guide .
StackNames (list) --
An array of CloudFormation stack names.
paginator = client.get_paginator('list_anomalies_for_insight')
Creates an iterator that will paginate through responses from DevOpsGuru.Client.list_anomalies_for_insight().
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
InsightId='string',
StartTimeRange={
'FromTime': datetime(2015, 1, 1),
'ToTime': datetime(2015, 1, 1)
},
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
[REQUIRED]
The ID of the insight. The returned anomalies belong to this insight.
A time range used to specify when the requested anomalies started. All returned anomalies started during this time range.
The start time of the time range.
The end time of the time range.
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken from a previous response.
dict
Response Syntax
{
'ProactiveAnomalies': [
{
'Id': 'string',
'Severity': 'LOW'|'MEDIUM'|'HIGH',
'Status': 'ONGOING'|'CLOSED',
'UpdateTime': datetime(2015, 1, 1),
'AnomalyTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'AnomalyReportedTimeRange': {
'OpenTime': datetime(2015, 1, 1),
'CloseTime': datetime(2015, 1, 1)
},
'PredictionTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'SourceDetails': {
'CloudWatchMetrics': [
{
'MetricName': 'string',
'Namespace': 'string',
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'Stat': 'Sum'|'Average'|'SampleCount'|'Minimum'|'Maximum'|'p99'|'p90'|'p50',
'Unit': 'string',
'Period': 123
},
]
},
'AssociatedInsightId': 'string',
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'Limit': 123.0
},
],
'ReactiveAnomalies': [
{
'Id': 'string',
'Severity': 'LOW'|'MEDIUM'|'HIGH',
'Status': 'ONGOING'|'CLOSED',
'AnomalyTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'AnomalyReportedTimeRange': {
'OpenTime': datetime(2015, 1, 1),
'CloseTime': datetime(2015, 1, 1)
},
'SourceDetails': {
'CloudWatchMetrics': [
{
'MetricName': 'string',
'Namespace': 'string',
'Dimensions': [
{
'Name': 'string',
'Value': 'string'
},
],
'Stat': 'Sum'|'Average'|'SampleCount'|'Minimum'|'Maximum'|'p99'|'p90'|'p50',
'Unit': 'string',
'Period': 123
},
]
},
'AssociatedInsightId': 'string',
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
}
},
],
}
Response Structure
(dict) --
ProactiveAnomalies (list) --
An array of ProactiveAnomalySummary objects that represent the requested anomalies
(dict) --
Details about a proactive anomaly. This object is returned by DescribeAnomaly.
Id (string) --
The ID of the anomaly.
Severity (string) --
The severity of the anomaly.
Status (string) --
The status of the anomaly.
UpdateTime (datetime) --
The time of the anomaly's most recent update.
AnomalyTimeRange (dict) --
A time range that specifies when the observed unusual behavior in an anomaly started and ended. This is different from AnomalyReportedTimeRange , which specifies the time range when DevOps Guru opens and then closes an anomaly.
StartTime (datetime) --
The time when the anomalous behavior started.
EndTime (datetime) --
The time when the anomalous behavior ended.
AnomalyReportedTimeRange (dict) --
A AnomalyReportedTimeRange object that specifies the time range between when the anomaly is opened and the time when it is closed.
OpenTime (datetime) --
The time when an anomaly is opened.
CloseTime (datetime) --
The time when an anomaly is closed.
PredictionTimeRange (dict) --
The time range during which anomalous behavior in a proactive anomaly or an insight is expected to occur.
StartTime (datetime) --
The time range during which a metric limit is expected to be exceeded. This applies to proactive insights only.
EndTime (datetime) --
The time when the behavior in a proactive insight is expected to end.
SourceDetails (dict) --
Details about the source of the analyzed operational data that triggered the anomaly. The one supported source is Amazon CloudWatch metrics.
CloudWatchMetrics (list) --
An array of CloudWatchMetricsDetail object that contains information about the analyzed metrics that displayed anomalous behavior.
(dict) --
Information about an Amazon CloudWatch metric.
MetricName (string) --
The name of the CloudWatch metric.
Namespace (string) --
The namespace of the CloudWatch metric. A namespace is a container for CloudWatch metrics.
Dimensions (list) --
An array of CloudWatch dimensions associated with
(dict) --
The dimension of a Amazon CloudWatch metric that is used when DevOps Guru analyzes the resources in your account for operational problems and anomalous behavior. A dimension is a name/value pair that is part of the identity of a metric. A metric can have up to 10 dimensions. For more information, see Dimensions in the Amazon CloudWatch User Guide .
Name (string) --
The name of the CloudWatch dimension.
Value (string) --
The value of the CloudWatch dimension.
Stat (string) --
The type of statistic associated with the CloudWatch metric. For more information, see Statistics in the Amazon CloudWatch User Guide .
Unit (string) --
The unit of measure used for the CloudWatch metric. For example, Bytes , Seconds , Count , and Percent .
Period (integer) --
The length of time associated with the CloudWatch metric in number of seconds.
AssociatedInsightId (string) --
The ID of the insight that contains this anomaly. An insight is composed of related anomalies.
ResourceCollection (dict) --
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
CloudFormation (dict) --
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
StackNames (list) --
An array of CloudFormation stack names.
Limit (float) --
A threshold that was exceeded by behavior in analyzed resources. Exceeding this threshold is related to the anomalous behavior that generated this anomaly.
ReactiveAnomalies (list) --
An array of ReactiveAnomalySummary objects that represent the requested anomalies
(dict) --
Details about a reactive anomaly. This object is returned by DescribeAnomaly.
Id (string) --
The ID of the reactive anomaly.
Severity (string) --
The severity of the reactive anomaly.
Status (string) --
The status of the reactive anomaly.
AnomalyTimeRange (dict) --
A time range that specifies when the observed unusual behavior in an anomaly started and ended. This is different from AnomalyReportedTimeRange , which specifies the time range when DevOps Guru opens and then closes an anomaly.
StartTime (datetime) --
The time when the anomalous behavior started.
EndTime (datetime) --
The time when the anomalous behavior ended.
AnomalyReportedTimeRange (dict) --
A AnomalyReportedTimeRange object that specifies the time range between when the anomaly is opened and the time when it is closed.
OpenTime (datetime) --
The time when an anomaly is opened.
CloseTime (datetime) --
The time when an anomaly is closed.
SourceDetails (dict) --
Details about the source of the analyzed operational data that triggered the anomaly. The one supported source is Amazon CloudWatch metrics.
CloudWatchMetrics (list) --
An array of CloudWatchMetricsDetail object that contains information about the analyzed metrics that displayed anomalous behavior.
(dict) --
Information about an Amazon CloudWatch metric.
MetricName (string) --
The name of the CloudWatch metric.
Namespace (string) --
The namespace of the CloudWatch metric. A namespace is a container for CloudWatch metrics.
Dimensions (list) --
An array of CloudWatch dimensions associated with
(dict) --
The dimension of a Amazon CloudWatch metric that is used when DevOps Guru analyzes the resources in your account for operational problems and anomalous behavior. A dimension is a name/value pair that is part of the identity of a metric. A metric can have up to 10 dimensions. For more information, see Dimensions in the Amazon CloudWatch User Guide .
Name (string) --
The name of the CloudWatch dimension.
Value (string) --
The value of the CloudWatch dimension.
Stat (string) --
The type of statistic associated with the CloudWatch metric. For more information, see Statistics in the Amazon CloudWatch User Guide .
Unit (string) --
The unit of measure used for the CloudWatch metric. For example, Bytes , Seconds , Count , and Percent .
Period (integer) --
The length of time associated with the CloudWatch metric in number of seconds.
AssociatedInsightId (string) --
The ID of the insight that contains this anomaly. An insight is composed of related anomalies.
ResourceCollection (dict) --
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
CloudFormation (dict) --
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
StackNames (list) --
An array of CloudFormation stack names.
paginator = client.get_paginator('list_events')
Creates an iterator that will paginate through responses from DevOpsGuru.Client.list_events().
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
Filters={
'InsightId': 'string',
'EventTimeRange': {
'FromTime': datetime(2015, 1, 1),
'ToTime': datetime(2015, 1, 1)
},
'EventClass': 'INFRASTRUCTURE'|'DEPLOYMENT'|'SECURITY_CHANGE'|'CONFIG_CHANGE'|'SCHEMA_CHANGE',
'EventSource': 'string',
'DataSource': 'AWS_CLOUD_TRAIL'|'AWS_CODE_DEPLOY',
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
}
},
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
[REQUIRED]
A ListEventsFilters object used to specify which events to return.
An ID of an insight that is related to the events you want to filter for.
A time range during which you want the filtered events to have occurred.
The time when the event started.
The time when the event ended.
The class of the events you want to filter for, such as an infrastructure change, a deployment, or a schema change.
The AWS source that emitted the events you want to filter for.
The source, AWS_CLOUD_TRAIL or AWS_CODE_DEPLOY , of the events you want returned.
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
An array of CloudFormation stack names.
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken from a previous response.
dict
Response Syntax
{
'Events': [
{
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'Id': 'string',
'Time': datetime(2015, 1, 1),
'EventSource': 'string',
'Name': 'string',
'DataSource': 'AWS_CLOUD_TRAIL'|'AWS_CODE_DEPLOY',
'EventClass': 'INFRASTRUCTURE'|'DEPLOYMENT'|'SECURITY_CHANGE'|'CONFIG_CHANGE'|'SCHEMA_CHANGE',
'Resources': [
{
'Type': 'string',
'Name': 'string',
'Arn': 'string'
},
]
},
],
}
Response Structure
(dict) --
Events (list) --
A list of the requested events.
(dict) --
An AWS resource event. AWS resource events and metrics are analyzed by DevOps Guru to find anomalous behavior and provide recommendations to improve your operational solutions.
ResourceCollection (dict) --
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
CloudFormation (dict) --
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
StackNames (list) --
An array of CloudFormation stack names.
Id (string) --
The ID of the event.
Time (datetime) --
A Timestamp that specifies the time the event occurred.
EventSource (string) --
The AWS source that emitted the event.
Name (string) --
The name of the event.
DataSource (string) --
The source, AWS_CLOUD_TRAIL or AWS_CODE_DEPLOY , where DevOps Guru analysis found the event.
EventClass (string) --
The class of the event. The class specifies what the event is related to, such as an infrastructure change, a deployment, or a schema change.
Resources (list) --
An EventResource object that contains information about the resource that emitted the event.
(dict) --
The AWS resource that emitted an event. AWS resource events and metrics are analyzed by DevOps Guru to find anomalous behavior and provide recommendations to improve your operational solutions.
Type (string) --
The type of resource that emitted an event.
Name (string) --
The name of the resource that emitted an event.
Arn (string) --
The Amazon Resource Name (ARN) of the resource that emitted an event.
paginator = client.get_paginator('list_insights')
Creates an iterator that will paginate through responses from DevOpsGuru.Client.list_insights().
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
StatusFilter={
'Ongoing': {
'Type': 'REACTIVE'|'PROACTIVE'
},
'Closed': {
'Type': 'REACTIVE'|'PROACTIVE',
'EndTimeRange': {
'FromTime': datetime(2015, 1, 1),
'ToTime': datetime(2015, 1, 1)
}
},
'Any': {
'Type': 'REACTIVE'|'PROACTIVE',
'StartTimeRange': {
'FromTime': datetime(2015, 1, 1),
'ToTime': datetime(2015, 1, 1)
}
}
},
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
[REQUIRED]
A filter used to filter the returned insights by their status. You can specify one status filter.
A ListInsightsAnyStatusFilter that specifies ongoing insights that are either REACTIVE or PROACTIVE .
Use to filter for either REACTIVE or PROACTIVE insights.
A ListInsightsClosedStatusFilter that specifies closed insights that are either REACTIVE or PROACTIVE .
Use to filter for either REACTIVE or PROACTIVE insights.
A time range used to specify when the behavior of the filtered insights ended.
The earliest end time in the time range.
The latest end time in the time range.
A ListInsightsAnyStatusFilter that specifies insights of any status that are either REACTIVE or PROACTIVE .
Use to filter for either REACTIVE or PROACTIVE insights.
A time range used to specify when the behavior of the filtered insights started.
The start time of the time range.
The end time of the time range.
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken from a previous response.
dict
Response Syntax
{
'ProactiveInsights': [
{
'Id': 'string',
'Name': 'string',
'Severity': 'LOW'|'MEDIUM'|'HIGH',
'Status': 'ONGOING'|'CLOSED',
'InsightTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'PredictionTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'ServiceCollection': {
'ServiceNames': [
'API_GATEWAY'|'APPLICATION_ELB'|'AUTO_SCALING_GROUP'|'CLOUD_FRONT'|'DYNAMO_DB'|'EC2'|'ECS'|'EKS'|'ELASTIC_BEANSTALK'|'ELASTI_CACHE'|'ELB'|'ES'|'KINESIS'|'LAMBDA'|'NAT_GATEWAY'|'NETWORK_ELB'|'RDS'|'REDSHIFT'|'ROUTE_53'|'S3'|'SAGE_MAKER'|'SNS'|'SQS'|'STEP_FUNCTIONS'|'SWF',
]
}
},
],
'ReactiveInsights': [
{
'Id': 'string',
'Name': 'string',
'Severity': 'LOW'|'MEDIUM'|'HIGH',
'Status': 'ONGOING'|'CLOSED',
'InsightTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'ServiceCollection': {
'ServiceNames': [
'API_GATEWAY'|'APPLICATION_ELB'|'AUTO_SCALING_GROUP'|'CLOUD_FRONT'|'DYNAMO_DB'|'EC2'|'ECS'|'EKS'|'ELASTIC_BEANSTALK'|'ELASTI_CACHE'|'ELB'|'ES'|'KINESIS'|'LAMBDA'|'NAT_GATEWAY'|'NETWORK_ELB'|'RDS'|'REDSHIFT'|'ROUTE_53'|'S3'|'SAGE_MAKER'|'SNS'|'SQS'|'STEP_FUNCTIONS'|'SWF',
]
}
},
],
}
Response Structure
(dict) --
ProactiveInsights (list) --
The returned list of proactive insights.
(dict) --
Details about a proactive insight. This object is returned by DescribeInsight.
Id (string) --
The ID of the proactive insight.
Name (string) --
The name of the proactive insight.
Severity (string) --
The severity of the proactive insight.
Status (string) --
The status of the proactive insight.
InsightTimeRange (dict) --
A time ranged that specifies when the observed behavior in an insight started and ended.
StartTime (datetime) --
The time when the behavior described in an insight started.
EndTime (datetime) --
The time when the behavior described in an insight ended.
PredictionTimeRange (dict) --
The time range during which anomalous behavior in a proactive anomaly or an insight is expected to occur.
StartTime (datetime) --
The time range during which a metric limit is expected to be exceeded. This applies to proactive insights only.
EndTime (datetime) --
The time when the behavior in a proactive insight is expected to end.
ResourceCollection (dict) --
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
CloudFormation (dict) --
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
StackNames (list) --
An array of CloudFormation stack names.
ServiceCollection (dict) --
A collection of the names of AWS services.
ServiceNames (list) --
An array of strings that each specifies the name of an AWS service.
ReactiveInsights (list) --
The returned list of reactive insights.
(dict) --
Information about a reactive insight. This object is returned by DescribeInsight.
Id (string) --
The ID of a reactive summary.
Name (string) --
The name of a reactive insight.
Severity (string) --
The severity of a reactive insight.
Status (string) --
The status of a reactive insight.
InsightTimeRange (dict) --
A time ranged that specifies when the observed behavior in an insight started and ended.
StartTime (datetime) --
The time when the behavior described in an insight started.
EndTime (datetime) --
The time when the behavior described in an insight ended.
ResourceCollection (dict) --
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
CloudFormation (dict) --
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
StackNames (list) --
An array of CloudFormation stack names.
ServiceCollection (dict) --
A collection of the names of AWS services.
ServiceNames (list) --
An array of strings that each specifies the name of an AWS service.
paginator = client.get_paginator('list_notification_channels')
Creates an iterator that will paginate through responses from DevOpsGuru.Client.list_notification_channels().
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
PaginationConfig={
'MaxItems': 123,
'StartingToken': 'string'
}
)
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.
A token to specify where to start paginating. This is the NextToken from a previous response.
{
'Channels': [
{
'Id': 'string',
'Config': {
'Sns': {
'TopicArn': 'string'
}
}
},
],
}
Response Structure
An array that contains the requested notification channels.
Information about a notification channel. A notification channel is used to notify you when DevOps Guru creates an insight. The one supported notification channel is Amazon Simple Notification Service (Amazon SNS).
If you use an Amazon SNS topic in another account, you must attach a policy to it that grants DevOps Guru permission to it notifications. DevOps Guru adds the required policy on your behalf to send notifications using Amazon SNS in your account. For more information, see Permissions for cross account Amazon SNS topics .
If you use an Amazon SNS topic that is encrypted by an AWS Key Management Service customer-managed key (CMK), then you must add permissions to the CMK. For more information, see Permissions for AWS KMS–encrypted Amazon SNS topics .
The ID of a notification channel.
A NotificationChannelConfig object that contains information about configured notification channels.
Information about a notification channel configured in DevOps Guru to send notifications when insights are created.
If you use an Amazon SNS topic in another account, you must attach a policy to it that grants DevOps Guru permission to it notifications. DevOps Guru adds the required policy on your behalf to send notifications using Amazon SNS in your account. For more information, see Permissions for cross account Amazon SNS topics .
If you use an Amazon SNS topic that is encrypted by an AWS Key Management Service customer-managed key (CMK), then you must add permissions to the CMK. For more information, see Permissions for AWS KMS–encrypted Amazon SNS topics .
The Amazon Resource Name (ARN) of an Amazon Simple Notification Service topic.
paginator = client.get_paginator('list_recommendations')
Creates an iterator that will paginate through responses from DevOpsGuru.Client.list_recommendations().
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
InsightId='string',
Locale='DE_DE'|'EN_US'|'EN_GB'|'ES_ES'|'FR_FR'|'IT_IT'|'JA_JP'|'KO_KR'|'PT_BR'|'ZH_CN'|'ZH_TW',
PaginationConfig={
'MaxItems': 123,
'StartingToken': 'string'
}
)
[REQUIRED]
The ID of the requested insight.
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.
A token to specify where to start paginating. This is the NextToken from a previous response.
dict
Response Syntax
{
'Recommendations': [
{
'Description': 'string',
'Link': 'string',
'Name': 'string',
'Reason': 'string',
'RelatedEvents': [
{
'Name': 'string',
'Resources': [
{
'Name': 'string',
'Type': 'string'
},
]
},
],
'RelatedAnomalies': [
{
'Resources': [
{
'Name': 'string',
'Type': 'string'
},
],
'SourceDetails': [
{
'CloudWatchMetrics': [
{
'MetricName': 'string',
'Namespace': 'string'
},
]
},
]
},
]
},
],
}
Response Structure
(dict) --
Recommendations (list) --
An array of the requested recommendations.
(dict) --
Recommendation information to help you remediate detected anomalous behavior that generated an insight.
Description (string) --
A description of the problem.
Link (string) --
A hyperlink to information to help you address the problem.
Name (string) --
The name of the recommendation.
Reason (string) --
The reason DevOps Guru flagged the anomalous behavior as a problem.
RelatedEvents (list) --
Events that are related to the problem. Use these events to learn more about what's happening and to help address the issue.
(dict) --
Information about an event that is related to a recommendation.
Name (string) --
The name of the event. This corresponds to the Name field in an Event object.
Resources (list) --
A ResourceCollection object that contains arrays of the names of AWS CloudFormation stacks. You can specify up to 500 AWS CloudFormation stacks.
(dict) --
Information about an AWS resource that emitted and event that is related to a recommendation in an insight.
Name (string) --
The name of the resource that emitted the event. This corresponds to the Name field in an EventResource object.
Type (string) --
The type of the resource that emitted the event. This corresponds to the Type field in an EventResource object.
RelatedAnomalies (list) --
Anomalies that are related to the problem. Use these Anomalies to learn more about what's happening and to help address the issue.
(dict) --
Information about an anomaly that is related to a recommendation.
Resources (list) --
An array of objects that represent resources in which DevOps Guru detected anomalous behavior. Each object contains the name and type of the resource.
(dict) --
Information about a resource in which DevOps Guru detected anomalous behavior.
Name (string) --
The name of the resource.
Type (string) --
The type of the resource.
SourceDetails (list) --
Information about where the anomalous behavior related the recommendation was found. For example, details in Amazon CloudWatch metrics.
(dict) --
Contains an array of RecommendationRelatedCloudWatchMetricsSourceDetail objects that contain the name and namespace of an Amazon CloudWatch metric.
CloudWatchMetrics (list) --
An array of CloudWatchMetricsDetail objects that contains information about the analyzed metrics that displayed anomalous behavior.
(dict) --
Information about an Amazon CloudWatch metric that is analyzed by DevOps Guru. It is one of many analyzed metrics that are used to generate insights.
MetricName (string) --
The name of the CloudWatch metric.
Namespace (string) --
The namespace of the CloudWatch metric. A namespace is a container for CloudWatch metrics.
paginator = client.get_paginator('search_insights')
Creates an iterator that will paginate through responses from DevOpsGuru.Client.search_insights().
See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate(
StartTimeRange={
'FromTime': datetime(2015, 1, 1),
'ToTime': datetime(2015, 1, 1)
},
Filters={
'Severities': [
'LOW'|'MEDIUM'|'HIGH',
],
'Statuses': [
'ONGOING'|'CLOSED',
],
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'ServiceCollection': {
'ServiceNames': [
'API_GATEWAY'|'APPLICATION_ELB'|'AUTO_SCALING_GROUP'|'CLOUD_FRONT'|'DYNAMO_DB'|'EC2'|'ECS'|'EKS'|'ELASTIC_BEANSTALK'|'ELASTI_CACHE'|'ELB'|'ES'|'KINESIS'|'LAMBDA'|'NAT_GATEWAY'|'NETWORK_ELB'|'RDS'|'REDSHIFT'|'ROUTE_53'|'S3'|'SAGE_MAKER'|'SNS'|'SQS'|'STEP_FUNCTIONS'|'SWF',
]
}
},
Type='REACTIVE'|'PROACTIVE',
PaginationConfig={
'MaxItems': 123,
'PageSize': 123,
'StartingToken': 'string'
}
)
[REQUIRED]
The start of the time range passed in. Returned insights occurred after this time.
The start time of the time range.
The end time of the time range.
A SearchInsightsFilters object that is used to set the severity and status filters on your insight search.
An array of severity values used to search for insights.
An array of status values used to search for insights.
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
An array of CloudFormation stack names.
A collection of the names of AWS services.
An array of strings that each specifies the name of an AWS service.
[REQUIRED]
The type of insights you are searching for (REACTIVE or PROACTIVE ).
A dictionary that provides parameters to control pagination.
The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.
The size of each page.
A token to specify where to start paginating. This is the NextToken from a previous response.
dict
Response Syntax
{
'ProactiveInsights': [
{
'Id': 'string',
'Name': 'string',
'Severity': 'LOW'|'MEDIUM'|'HIGH',
'Status': 'ONGOING'|'CLOSED',
'InsightTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'PredictionTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'ServiceCollection': {
'ServiceNames': [
'API_GATEWAY'|'APPLICATION_ELB'|'AUTO_SCALING_GROUP'|'CLOUD_FRONT'|'DYNAMO_DB'|'EC2'|'ECS'|'EKS'|'ELASTIC_BEANSTALK'|'ELASTI_CACHE'|'ELB'|'ES'|'KINESIS'|'LAMBDA'|'NAT_GATEWAY'|'NETWORK_ELB'|'RDS'|'REDSHIFT'|'ROUTE_53'|'S3'|'SAGE_MAKER'|'SNS'|'SQS'|'STEP_FUNCTIONS'|'SWF',
]
}
},
],
'ReactiveInsights': [
{
'Id': 'string',
'Name': 'string',
'Severity': 'LOW'|'MEDIUM'|'HIGH',
'Status': 'ONGOING'|'CLOSED',
'InsightTimeRange': {
'StartTime': datetime(2015, 1, 1),
'EndTime': datetime(2015, 1, 1)
},
'ResourceCollection': {
'CloudFormation': {
'StackNames': [
'string',
]
}
},
'ServiceCollection': {
'ServiceNames': [
'API_GATEWAY'|'APPLICATION_ELB'|'AUTO_SCALING_GROUP'|'CLOUD_FRONT'|'DYNAMO_DB'|'EC2'|'ECS'|'EKS'|'ELASTIC_BEANSTALK'|'ELASTI_CACHE'|'ELB'|'ES'|'KINESIS'|'LAMBDA'|'NAT_GATEWAY'|'NETWORK_ELB'|'RDS'|'REDSHIFT'|'ROUTE_53'|'S3'|'SAGE_MAKER'|'SNS'|'SQS'|'STEP_FUNCTIONS'|'SWF',
]
}
},
],
}
Response Structure
(dict) --
ProactiveInsights (list) --
The returned proactive insights.
(dict) --
Details about a proactive insight. This object is returned by DescribeInsight.
Id (string) --
The ID of the proactive insight.
Name (string) --
The name of the proactive insight.
Severity (string) --
The severity of the proactive insight.
Status (string) --
The status of the proactive insight.
InsightTimeRange (dict) --
A time ranged that specifies when the observed behavior in an insight started and ended.
StartTime (datetime) --
The time when the behavior described in an insight started.
EndTime (datetime) --
The time when the behavior described in an insight ended.
PredictionTimeRange (dict) --
The time range during which anomalous behavior in a proactive anomaly or an insight is expected to occur.
StartTime (datetime) --
The time range during which a metric limit is expected to be exceeded. This applies to proactive insights only.
EndTime (datetime) --
The time when the behavior in a proactive insight is expected to end.
ResourceCollection (dict) --
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
CloudFormation (dict) --
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
StackNames (list) --
An array of CloudFormation stack names.
ServiceCollection (dict) --
A collection of the names of AWS services.
ServiceNames (list) --
An array of strings that each specifies the name of an AWS service.
ReactiveInsights (list) --
The returned reactive insights.
(dict) --
Information about a reactive insight. This object is returned by DescribeInsight.
Id (string) --
The ID of a reactive summary.
Name (string) --
The name of a reactive insight.
Severity (string) --
The severity of a reactive insight.
Status (string) --
The status of a reactive insight.
InsightTimeRange (dict) --
A time ranged that specifies when the observed behavior in an insight started and ended.
StartTime (datetime) --
The time when the behavior described in an insight started.
EndTime (datetime) --
The time when the behavior described in an insight ended.
ResourceCollection (dict) --
A collection of AWS resources supported by DevOps Guru. The one type of AWS resource collection supported is AWS CloudFormation stacks. DevOps Guru can be configured to analyze only the AWS resources that are defined in the stacks. You can specify up to 500 AWS CloudFormation stacks.
CloudFormation (dict) --
An array of the names of AWS CloudFormation stacks. The stacks define AWS resources that DevOps Guru analyzes. You can specify up to 500 AWS CloudFormation stacks.
StackNames (list) --
An array of CloudFormation stack names.
ServiceCollection (dict) --
A collection of the names of AWS services.
ServiceNames (list) --
An array of strings that each specifies the name of an AWS service.