Amazon Kinesis Data Analytics for Apache Flink supports three new container level metrics and improved CloudFormation support

[Amazon Kinesis Data Analytics for Apache Flink](/kinesis/data-analytics/) now publishes three new container-level metrics to Amazon CloudWatch: CPU Utilization, Memory Utilization, and Disk Utilization of Flink Task Managers. Task Managers are the worker nodes of a Flink application that perform the data processing. These new metrics provide enhanced visibility to Task Manager resource usage and can be used to easily scale applications running on Kinesis Data Analytics. With this launch, Amazon Kinesis Data Analytics also provides improved logging performance and CloudFormation support for [VPC applications](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-vpcconfiguration.html) and [Maintenance Windows](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-kinesisanalyticsv2-application-applicationmaintenanceconfiguration.html). Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time with Apache Flink. Apache Flink is an open source framework and engine for processing data streams. Amazon Kinesis Data Analytics reduces the complexity of building and managing Apache Flink applications. Amazon Kinesis Data Analytics for Apache Flink integrates with Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Kinesis Data Streams, Amazon Opensearch Service, Amazon DynamoDB streams, Amazon Simple Storage Service (Amazon S3), custom integrations, and more using built-in connectors. You can learn more about Amazon Kinesis Data Analytics for Apache Flink [here](https://docs.aws.amazon.com/kinesisanalytics/latest/java/what-is.html). For Amazon Kinesis Data Analytics region availability, refer to the [AWS Region Table](/about-aws/global-infrastructure/regional-product-services/).