On behalf of the Spring Cloud Data Flow team, I am pleased to announce the 1.0.0.RC1 release of Spring Cloud Data Flow for Apache YARN.

Spring Cloud Data Flow for Apache YARN allows one to use all the goodness of Spring Cloud Data Flow (like the Shell and UI) while targeting Apache YARN as a backend. Stream components are deployed as individual apps in Apache YARN, leveraging the power of the platform to handle scaling and health monitoring.

This first release candicate

• Adds several improvements to launching of short-lived applications a.k.a tasks to Apache YARN
• Builds upon Spring StateMachine 1.1.0.RELEASE that includes new features, stability, and API improvements
• Adds support to configure command line args as a separate set of properties to be passed to an application when it's deployed. This is an important requirement for running Spring Batch jobs
• Several Ambari plugin improvements to simplify provisioning of Spring Cloud Data Flow’s YARN server
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I am pleased to announce the 1.0.0.RC1 release candidate of Spring Cloud Data Flow for Kubernetes, a team effort that encompasses many new features under the hood.

This release candidate builds upon the recent 1.0.0.RC1 release of Spring Cloud Data Flow and also adds Cloud Foundry specific refinements. Some highlights include:

• Implements the TaskLauncher SPI to support launching of short-lived applications a.k.a tasks. They will be created as Kubernetes jobs and each task launch will create a new pod as part of the Kubernetes job
• Adds support to configure command line args as a separate set of properties to be passed to an application when it's deployed. This is an important requirement for running Spring Batch jobs orchestrated as tasks using Spring Cloud Task programming model
• Adds support for RDBMS “datasource” to supplement persistent repository requirements
• Adds /info…

I am pleased to announce the 1.0.0.RC1 release candidate of Spring Cloud Data Flow for Mesos, a team effort that encompasses many new features under the hood.

This release candidate builds upon the recent 1.0.0.RC1 release of Spring Cloud Data Flow. Some highlights include:

• Improves orchestration mechanics by inheriting latest improvements to spring-cloud-deployer contracts and the supported functionalities.
• Builds upon feature-toggle support from Spring Cloud Data Flow’s core project to conditionally refine what features get included in each release

To get started using Spring Cloud Data Flow for Mesos follow these steps outlined…

On behalf of the team I am pleased to announce the release of Spring Cloud Data Flow 1.0 RC1.

Several exciting new features have been added in this release which carry over to the other Data Flow Server implementations that were also released today.

Data Flow Local Server

Data Flow for Cloud Foundry

Data Flow for Apache YARN

Data Flow for Kubernetes

Data Flow for Apache Mesos

Follow the links above for details on features unique to each individual runtime platform. The highlights of the release are:

• Spring Flo is now an open source project and has been integrated into the Spring Cloud Data Flow dashboard allowing you to visually design data pipelines in your browser.
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We are pleased to announce the release of Spring Cloud Task 1.0.0.RC1. This is the first release candidate of the Spring Cloud Task project!

What's New?

This release really represents the polishing of the functionality that existed within 1.0.0.M2:

• The TaskRepository
• Task listeners
• Task integration with Spring Batch
• Task integration with Spring Cloud Stream

There are a few minor breaking changes (renaming of a few methods) but those are all to get things right for our 1.0.0.GA. This release will serve as the baseline version of Spring Cloud Data Flow's 1.0.0.RC1 as well.

What's Next?

We…

On behalf of the Spring Data team I’d like to announce the availability of the second service release of the Spring Data Hopper release train. The release ships 103 issues fixed. We fixed a couple of bugs in the area of repository projections, especially for JPA users and introduce Hibernate 5.2 compatibility with this release (also already back-ported to the Gosling release train for inclusion in the upcoming service release). Hopper SR2 is a recommended upgrade for all Hopper users and also users of previous release trains.

Here are the released modules:

• Spring Data Cassandra 1.4.2 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Commons 1.12.2 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Couchbase 2.1.2 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Elasticsearch 2.0.2 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Envers 1.0.2 - Artifacts - JavaDocs - Documentation
• Spring Data Gemfire 1.8.2 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data JPA 1.10.2 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data KeyValue 1.1.2 - Artifacts - JavaDocs - Documentation - …

Dear Spring community,

I’m pleased to announce that Spring Integration Framework 4.3 GA is now available from repo.spring.io, as well as Maven Central! Also the maintainance 4.2.8 version has been released, too. Together with an internal 4.2.7 release it includes some important bug fixes.

In addition to the feature themes mentioned in 4.3 RC1 announcement, the GA release includes several major changes:

• Upgrade to Spring Framework 4.3 GA, Spring AMQP 1.6 GA, Spring Security 4.1 GA;

• The FtpRemoteFileTemplate now provides ExistsMode option to control how an exists() operation should work;

• The FileSplitter lets represent FileMarker object as a JSON string (markersJson option) to avoid an additional spring-integration-file dependency on the consumer applications in distributed environments;

• A new JdbcLockRegistry feature has been introduced. Special thanks to Dave Syer!

• The Integration Graph has been improved with generic gateway nodes and LinkNode now has a type (input, output, error, discard, route) property for better visualization experience;

  …

On behalf of the team, I am pleased to announce that Service Release 1 of the Spring Cloud Brixton Release Train is available today. The release can be found in our Spring Release repository and Maven Central.

This is primarily a bug fix release with a few small features. Of particular note is a change that allows Brixton Eureka Servers to work with Angel Eureka clients.

The following modules were updated as part of Brixton.SR1:

• Spring Cloud Commons 1.1.1.RELEASE
• Spring Cloud Config 1.1.1.RELEASE
• Spring Cloud Consul 1.0.1.RELEASE
• Spring Cloud Netflix 1.1.1.RELEASE & 1.1.2.RELEASE
• Spring Cloud Sleuth 1.0.1.RELEASE
• Spring Cloud Stream 1.0.2.RELEASE
• Spring Cloud Zookeeper 1.0.1.RELEASE
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Dear Spring community,

I'm pleased to announce that Spring Framework 4.3 GA (a.k.a. 4.3.0.RELEASE) is now available from repo.spring.io as well as Maven Central!

In addition to the feature themes mentioned in my 4.3 RC1 announcement, the GA release covers compatibility with several recent third-party releases, in particular: Hibernate ORM 5.2, Jackson 2.8, Netty 4.1, Undertow 1.4, and Tomcat 8.5.2 / 9.0 M6. Also, please note that our Hibernate 3.x support is finally deprecated (even Hibernate 4.x is not actively supported by Red Hat anymore) and that Spring 4.3's Jackson support requires…