Spring Cloud Data Flow 2.2.0 released, Spring Cloud Data Flow is to build real-time data integration and data processing pipeline toolkit.
This version GA developed a number of key features, main updates are as follows:
Task Management Application
You can now use SCDF dashboards and Shell to stop and delete tasks to perform. The new version adds support for integrated micrometer task of monitoring applications, Micrometer integrated core is located in Spring Cloud Task 2.2.0 version, if you want to try Task-metrics and SCDF integration, then this is a requirement.
Team gives an example application that is built on Spring Boot, the upstream version is compatible with Spring Batch and Spring Cloud Task of. By starting this application SCDF can now be used as a backend InfluxDB detected index, likewise, by Grafana dashboard statistical data visualization, shown below:
Access Flow / task application log
Spring Cloud Data Flow dashboard is now disclosed that the task flow and application logs. This feature is available for local, Kubernetes and Cloud Foundry platform, supported by a new REST API Spring Cloud Data Flow of.
Improved Dashboard
Can view this video to see improved information: https://youtu.be/rz-smoRLcFY
Patch database driver
Users attempting to use a proprietary database driver Patch Spring Cloud Data Flow can select a local clone and construction projects. But there is another option, the user has to Maven and Gradle in the document recording the process.
Acceptance Test
改进了针对受支持平台本地、Pivotal Cloud Foundry、Kubernetes（GKE 和 PKS）运行的验收测试的质量。
开发秘方
添加了新的教程，以帮助开发人员使用 Apache Kafka、RabbitMQ 和 Amazon Kinesis 配置和管理流应用程序。 在 Kubernetes 和 Cloud Foundry 上还有一个关于文件摄取和 ETL 处理的方法，请参阅 Spring Cloud Data Flow 网站。