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Spring Cloud Data Flow for Apache YARN 1.0.2 released

We are pleased to announce the release of Spring Cloud Data Flow for Apache YARN 1.0.2.RELEASE.

Spring Cloud Data Flow for Apache YARN provides support for orchestrating long-running (streaming) and short-lived (task/batch) data microservices on Apache YARN.

Apart from usual minor fixes, we have worked on the following themes.

  • Builds upon Spring Cloud Data Flow’s 1.0.1.RELEASE
  • Support for Apache Ambari 2.4
  • Adds Apache Ambari installation of Spring Cloud Data Flow for HDP 2.5 stack
  • UX improvements around Apache Ambari configuration settings and quicklinks
  • Adds support to interact with kerberized Apache Kafka cluster
  • Yarn deployer APIs and the auto-configuration improvements
  • Certification of partitioned batch-jobs running as short-lived Tasks in YARN
  • Improved documentation

For a complete list of changes and improvements, please refer to
1.0.2.RELEASE server release, 1.0.2.RELEASE deployer release, 1.0-3.RELEASE rpm release and 1.0-3.RELEASE ambari plugin release.

Looking into a future:

  • We’re planning to start work for 1.1.x
  • Better and faster interoperability with YARN
  • Integration to Ambari’s Extensions and Management Packs allowing upgrades
  • Better versioning for release artifacts needed for upgrade support
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