We are pleased to announce that Spring Batch 4.0.0.M3 is now available via Github and the Pivotal download repository. This release represents the third milestone for the Spring Batch 4.0 release. Many thanks to all that contributed to this release.

What's new?

This milestone continues the work laid out in the previous 4.0.0 milestones. Specific updates include:

• Dependency updates
• Continued java configuration improvements
• Intial updates to documentation

Dependency updates

As the dependency graph of Spring Boot 2 evolves, we have been updating our dependencies to be in line with them…

The third milestone of Spring Boot 2.0 is available now from the Spring milestone repository. This milestone ensures compatibility with Spring Framework 5.0.0.RC3 and contains a number of other dependency upgrades. This release closes over 100 issues and pull requests, thanks to all that contributed!

For a complete list of changes, and upgrade instructions, see the Spring Boot 2.0.0.M3 Release Notes on the WIKI and the updated reference documentation.

If you want to get started and discover the new features, you can easily bootstrap a new project on https://start.spring.io

Project Page | GitHub | Issues | Documentation | Stack Overflow | …

On behalf of the team, I am pleased to announce the general availability of Spring Cloud Data Flow 1.2.3.

Local Server: Quick Start, Getting Started Guide

This is a maintenance release where we focused on improving the reference documentation. Other improvements include addition of an OSS licensed JDBC driver for Microsoft SQL Server. The latest local deployer version can now handle apps built using Spring Boot 2.0 milestone releases.

More details can be found in the release notes.

Feedback is important. Please reach out to us in StackOverflow and GitHub for questions and feature requests. We also welcome contributions! Any help improving the Spring Cloud Data Flow ecosystem…

On behalf of the team, I am pleased to announce that Spring Boot 1.5.5 has been released and is available now from repo.spring.io and Maven Central.

Spring Boot 1.5.5 includes 80 fixes, improvements and dependency updates. Thanks to all that have contributed with issue reports and pull requests.

What's next?

After the recent release of Spring Framework 5.0 RC3 and the flurry of other releases that followed, Spring Boot 2.0 M3 is just around the corner. If you want to take an early look at Spring Boot 2, and we’d love to hear your feedback if you do, please go to start.spring.io and select Spring Boot 2.0.0.BUILD-SNAPSHOT…

On behalf of the Spring Integration team I am pleased to announce that the Milestone 6 for the Spring Integration 5.0 version (5.0.0.M6) is now available.

It is available for download from the Milestone Repository:

repositories {
    maven { url 'http://repo.spring.io/libs-milestone' }
}
compile "org.springframework.integration:spring-integration-core:5.0.0.M6"

19 JIRAs (and some GitHub issues) made into this release, including bug fixes and a number of new features. Some highlights of features in the M6, since the previously announced Milestone 5:

• The Spring WebFlux based Reactive Channel Adapters are provided for the HTTP server side:
…

On behalf of the Spring Data team, I’d like to announce the availability of Ingalls SR5 release.
It ships with over 40 issues fixed in total and is therefore a recommended upgrade for all users. For your convenience the service release is going to be picked up by the upcoming Spring Boot 1.5.5.

The complete list of issues fixed can be found here.

Spring Data Ingalls SR5

• Spring Data Commons 1.13.5 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data JPA 1.11.5 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data KeyValue 1.2.5 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data for Apache Cassandra 1.5.5 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data for Apache Solr 2.1.5 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Gemfire 1.9.5 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data Neo4j 4.2.5 - Artifacts - JavaDocs - Documentation - Changelog
• Spring Data MongoDB 1.10.5 - Artifacts - JavaDocs - Documentation - …

On behalf of the Spring Data team, I’d like to announce the availability of the first and second release candiate of Spring Data Kay. This release ships over 120 tickets fixed. The curated changelog can be found in our release wiki, the complete list of issues fixed can be found here. Due to a severe issue in RC1 we immediately issued RC2.

Notable changes

• Enhanced tooling support by adding @NonNullApi and @Nullable annotations in Spring Data Commons to be picked up by your favorite IDE.
• Fine-tuning of the fluent API for MongoDB including a reactive counterpart and aggregation support.
• Spring Data for Apache Geode joins the release train.
• RedisCache got overhauled and is now way easier to configure.
• Cassandra 3.0 driver upgrade and support for @Indexed and @SASI.
• Child document support for Spring Data for Apache Solr.
• A lot of internal cleanups.
…

On behalf of the community I’m pleased to announce the release of Spring Session 2.0.0.M3. This release is focused primarily on ensuring compatibility with Spring Framework 5.0.0.RC3 and Spring Data Kay RC1 which is the minimum Spring version required.

This release includes the following new features:

• Support added for Spring WebFlux

• Support for WebFlux’s WebSession

• Added ReactorSessionRepository to support a reactive SessionRepository API. The default implementation provided is MapReactorSessionRepository.

We have split Spring Session into modules based upon the repository…

We are pleased to announce the availability of the Milestone 3 of the Spring for Apache Kafka 2.0 version.

It is available for download from the Milestone Repository:

repositories {
    maven { url 'http://repo.spring.io/libs-milestone' }
}
compile "org.springframework.kafka:spring-kafka:2.0.0.M3"

Since the previous announcement, these feature have made it into the current Milestone:

• Apache Kafka 0.11.0.0 client base line;

• With the new Apache Kafka foundation we have introduced KafkaTransactionManager and transactions support in the KafkaTemplate via new executeInTransaction() operation;

• The KafkaListenerContainer can now be supplied with the TransactionManager to perform polling and offset commits with transaction boundaries;

• The Kafka Headers support is provided as well. Now you can send and receive messages with any arbitrary headers, for example build request-reply scenarios using some correlationKey header;

• The ConsumerAwareErrorHandler is provided to manage Consumer state in case of errors;

  …