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Spring Cloud Data Flow 2.3.0.M1 and 2.2.1 GA Released

The Spring Cloud Data Flow team is pleased to announce the milestone release 2.3.0.M1 and the release of 2.2.1 GA.

Along with the bug fixes and enhancements, the first milestone of 2.3.0 also has the following new features:

  • Improved Prometheus monitoring based on Prometheus RSocket. It uses persistent bidirectional (RSocket) connections between the Stream/Task applications and a Prometheus RSocket Proxy instance. When Prometheus scrapes the proxy instance, and the proxy, in turn, uses the connections to pull metrics from the applications.
  • Ability to pass OAuth Access Token as command-line arguments for Composed Tasks
  • Users can now specify a description of the stream when creating it. Thanks to Daniel Serleg for the contribution!
  • Spring Cloud Scheduler SPI is now merged into Spring Cloud Deployer. We’ll deprecate the explicit spring-cloud-scheduler project and its implementations on Cloud Foundry, K8s and have them available as part of spring-cloud-deployer.

You can see the full list of changes on Github.

The release 2.2.1 GA is mostly the bug fixes on 2.2.x base and you can see the changes on Github.

Stay in touch…

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

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