aws-cdk-lib.aws_kinesisanalytics.CfnApplicationV2.MonitoringConfigurationProperty

interface MonitoringConfigurationProperty

LanguageType name
.NETAmazon.CDK.AWS.KinesisAnalytics.CfnApplicationV2.MonitoringConfigurationProperty
Gogithub.com/aws/aws-cdk-go/awscdk/v2/awskinesisanalytics#CfnApplicationV2_MonitoringConfigurationProperty
Javasoftware.amazon.awscdk.services.kinesisanalytics.CfnApplicationV2.MonitoringConfigurationProperty
Pythonaws_cdk.aws_kinesisanalytics.CfnApplicationV2.MonitoringConfigurationProperty
TypeScript aws-cdk-lib » aws_kinesisanalytics » CfnApplicationV2 » MonitoringConfigurationProperty

Describes configuration parameters for Amazon CloudWatch logging for a Java-based Kinesis Data Analytics application.

For more information about CloudWatch logging, see Monitoring .

Example

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { aws_kinesisanalytics as kinesisanalytics } from 'aws-cdk-lib';
const monitoringConfigurationProperty: kinesisanalytics.CfnApplicationV2.MonitoringConfigurationProperty = {
  configurationType: 'configurationType',

  // the properties below are optional
  logLevel: 'logLevel',
  metricsLevel: 'metricsLevel',
};

Properties

NameTypeDescription
configurationTypestringDescribes whether to use the default CloudWatch logging configuration for an application.
logLevel?stringDescribes the verbosity of the CloudWatch Logs for an application.
metricsLevel?stringDescribes the granularity of the CloudWatch Logs for an application.

configurationType

Type: string

Describes whether to use the default CloudWatch logging configuration for an application.

You must set this property to CUSTOM in order to set the LogLevel or MetricsLevel parameters.


logLevel?

Type: string (optional)

Describes the verbosity of the CloudWatch Logs for an application.


metricsLevel?

Type: string (optional)

Describes the granularity of the CloudWatch Logs for an application.

The Parallelism level is not recommended for applications with a Parallelism over 64 due to excessive costs.