β

Spring Cloud Data Flow 1.5 RC1 released

Spring 16 阅读

The Spring Cloud Data Flow team is pleased to announce the release of 1.5.0 RC1 . Follow the Getting Started guides for Local Server , Cloud Foundry , and Kubernetes .

Here are the highlights:

General Improvements

  • Switch to Hikari connection pool and restructure code to use fewer connections.

  • Several bug fixes in underling deployer libraries.

Dashboard

  • Editing a created/deployed stream is now possible from the Stream Builder . The application and deployment properties can be edited and re-deployed. The App version can be switched, too.

  • A new paginator component is added to all the list page. Switching from a list of 20, 30, 50, or 100 items per page is possible. This further simplifies the bulk operation workflows.

  • Introduction of end-to-end testing via Selenium and SauceLabs.

App Starters:

  • New release - Celsius.SR2

  • Updated Rabbit source/sink to work on PCF

  • Updated python apps

Kubernetes Server

  • The client and the cluster version compatibility have be improved due to Core Workload APIs going GA. For example, a StatefulSet deployment for a partitioned streaming-pipeline dynamically resolves the version compatibility - no more hardcoded StatefulSet endpoints.

  • Extending the annotation support added to the “pod” configurations, it is now also possible to add custom annotations to “jobs” deployment.

  • Deploying with custom liveness and readiness probe ports is now supported.

Review the 1.5.0.M1 release blog for new feature improvements already added to the 1.5 code base.

Stay in touch…​

As always, we welcome feedback and contributions, so please reach out to us on Stackoverflow or GitHub or via Gitter .

Please try it out, share your feedback, and consider contributing to the project!

作者:Spring
原文地址:Spring Cloud Data Flow 1.5 RC1 released, 感谢原作者分享。

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