2024/03/15 - 8 updated api methods
Changes Support for Flink 1.18 in Managed Service for Apache Flink
2024/03/13 - 3 updated api methods
Changes Support new RuntimeEnvironmentUpdate parameter within UpdateApplication API allowing callers to change the Flink version upon which their application runs.
2023/06/28 - 6 updated api methods
Changes Support for new runtime environment in Kinesis Data Analytics Studio: Zeppelin-0.10, Apache Flink-1.15
2022/11/22 - 6 updated api methods
Changes Support for Apache Flink 1.15 in Kinesis Data Analytics.
2021/10/13 - 6 updated api methods
Changes Support for Apache Flink 1.13 in Kinesis Data Analytics. Changed the required status of some Update properties to better fit the corresponding Create properties.
2021/05/19 - 7 updated api methods
Changes Kinesis Data Analytics now allows rapid iteration on Apache Flink stream processing through the Kinesis Data Analytics Studio feature.
2021/05/10 - 2 new 5 updated api methods
Changes Amazon Kinesis Analytics now supports ListApplicationVersions and DescribeApplicationVersion API for Apache Flink applications
2021/05/05 - 1 new 8 updated api methods
Changes Amazon Kinesis Analytics now supports RollbackApplication for Apache Flink applications to revert the application to the previous running version
2021/04/26 - 1 new 4 updated api methods
Changes Amazon Kinesis Data Analytics now supports custom application maintenance configuration using UpdateApplicationMaintenanceConfiguration API for Apache Flink applications. Customers will have visibility when their application is under maintenance status using 'MAINTENANCE' application status.
2020/11/19 - 1 new 4 updated api methods
Changes Amazon Kinesis Data Analytics now supports building and running streaming applications using Apache Flink 1.11 and provides a way to access the Apache Flink dashboard for supported Flink versions.
2020/10/06 - 5 updated api methods
Changes Amazon Kinesis Analytics now supports StopApplication with 'force' option
2020/09/09 - 4 updated api methods
Changes Kinesis Data Analytics is adding new AUTOSCALING application status for applications during auto scaling and also adding FlinkRunConfigurationDescription in the ApplicationDetails.
2019/12/17 - 4 updated api methods
Changes Kinesis Data Analytics service now supports running Java applications using Flink 1.8.
2019/11/25 - 2 new 4 updated api methods
Changes Kinesis Data Analytics service adds support to configure Java applications to access resources in a VPC. Also releasing support to configure Java applications to set allowNonRestoreState flag through the service APIs.
2019/05/08 - 3 new 1 updated api methods
Changes Kinesis Data Analytics APIs now support tagging on applications.
2019/05/08 - 3 new 1 updated api methods
Changes Kinesis Data Analytics APIs now support tagging on applications.
2019/05/08 - 3 new 1 updated api methods
Changes Kinesis Data Analytics APIs now support tagging on applications.
2019/05/08 - 3 new 1 updated api methods
Changes Kinesis Data Analytics APIs now support tagging on applications.
2018/11/28 - 21 new api methods
Changes Improvements to error messages, validations, and more to the Kinesis Data Analytics APIs.
2017/12/21 - 4 updated api methods
Changes Kinesis Analytics now supports AWS Lambda functions as output.
2017/10/04 - 2 new 5 updated api methods
Changes Kinesis Analytics now supports schema discovery on objects in S3. Additionally, Kinesis Analytics now supports input data preprocessing through Lambda.
2017/06/02 - 2 new 3 updated api methods
Changes Kinesis Analytics publishes error messages CloudWatch logs in case of application misconfigurations
2016/08/11 - 13 new api methods
Changes Adds the new service Amazon Kinesis Analytics, a fully managed service for continuously querying streaming data using standard SQL. With Kinesis Analytics, you can write standard SQL queries on streaming data and gain actionable insights in real-time, without having to learn any new programming skills. The service allows you to build applications that continuously read data from streaming data sources, process that data using standard SQL, and send the processed data to up to four destinations of your choice. Kinesis Analytics enables you to generate time-series analytics, feed a real-time dashboard, create real-time alarms and notifications, and much more.