Amazon Kinesis Data Analytics for Apache Flink now supports Apache Flink version 1.15

Amazon Kinesis Data Analytics for Apache Flink now supports Apache Flink version 1.15\. This new version includes improvements to Flink's exactly-once processing semantics, Kinesis Data Streams and Kinesis Data Firehose connectors, Python User Defined Functions, Flink SQL, and more. The release also includes an AWS-contributed capability, a new [Async-Sink](https://flink.apache.org/2022/05/06/async-sink-base.html) framework which simplifies the creation of custom sinks to deliver processed data. For a complete list of features, improvements, and bug fixes please see the Apache Flink [release notes](https://docs.aws.amazon.com/kinesisanalytics/latest/java/flink-1-15-2.html) for 1.15\. Amazon Kinesis Data Analytics makes it easier 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 S3, custom integrations, and more using built-in connectors. You can learn more about Kinesis Data Analytics for Apache Flink in our [documentation](https://docs.aws.amazon.com/kinesisanalytics/latest/java/what-is.html) and what Apache Flink 1.15 offers by visiting the [official website](https://nightlies.apache.org/flink/flink-docs-release-1.15/). For Kinesis Data Analytics region availability, refer to the [AWS Region Table](/about-aws/global-infrastructure/regional-product-services/).