On behalf of the team and everyone who has contributed, I am pleased to announce that Spring Boot 2.1.5 has been released and is now available from repo.spring.io and Maven Central.

This is a maintenance release that includes a number of important dependency updates and bug fixes.

A gentle reminder that Spring Boot 1.5 will be end of life in august, so all users should now be upgrading to Spring Boot 2.1.

How can you help?

If you're interested in helping out, check out the "ideal for contribution" tag in the issue repository. If you have general questions, please ask on stackoverflow.com using the spring-boot tag or chat with the community on Gitter…

On behalf of the team and everyone that contributed, I am pleased to announce that the third milestone of Spring Boot 2.2 has been released and is available from our milestone repository. This release closes over 100 issues and pull requests.

For a complete list of changes and upgrade instructions, please see the Spring Boot 2.2 Release Notes on the wiki and the updated reference documentation.

If you want to get started with 2.2 and try out the new features, you can bootstrap a new project on https://start.spring.io.

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

The 4th Generation of Reactor is arriving. On behalf of the team we want to thank all our community for the tremendous feedback. Over the last year we have grown our reactive line-up significantly including R2DBC and BlockHound. Our adoption in the java ecosystem looks phenomenal and we are collaborating with major corps including Microsoft and Google. We have more than doubled our regular Gitter audience with some awesome -you guessed it- reactive discussions happening every day. Finally, Sergei Egorov has joined the core team and we have no plans to stop expanding!

Dysprosium-M1 is available on our milestone repository. It is paving the way for more changes in the work. It's worth noting that 2 features are being deprecated, and evaluated for removal at the…

The 8th Service Release for Californium is out. Beyond fixing its share of issues, it is shipping with a turbo-charged reactor-netty -thanks to changes backported- from our new Dysprosium-M1 release.

The release is available on your preferred maven central repository.

Change logs and release notes:

• reactor-core 3.2.9.RELEASE
• reactor-netty 0.8.8.RELEASE

Note that the release overrides Californium-SR7 which has shipped with an unwelcome regression in reactor-netty 0.8.7.

Bismuth EOL

Anticipating the coming Dysprosium-RELEASE, our reactor-core 3.1.x and reactor-netty 0.7.x lines will not receive further patches. We encourage our users to update to Californium releases trains, which match Spring Boot 2.1.x and Spring Framework 5.1.x…

I am pleased to announce the availability of Spring Data releases Moore M4, Lovelace SR8, and Ingalls SR22. Our releases build on the most recent Spring Framework releases and are going to be picked up by Spring Boot 2.2 M3, 2.1.5 and 1.5.21 respectively.

Moore M4 is also a pre-requisite for Spring Data R2DBC 1.0 M2. It ships with 70 tickets fixed. There are a few notable new features amongst these:

• Support for reactive transaction management for MongoDB
• Annotation-based Collation support for MongoDB
• Reactive Index Operations in Elasticsearch and delete by query

Please find a high-level overview of what has been added in our release wiki…

On behalf of the team and everyone who has contributed, I am pleased to announce that Spring Boot 1.5.21 has been released and is now available from repo.spring.io and Maven Central.

Spring Boot 1.5.21 is a maintenance release that includes 9 dependency updates and selected bug fixes.

If you haven’t already upgraded to Spring Boot 2, please consider doing so as support for 1.x will end on August 1st 2019.

How can you help?

If you're interested in helping out, check out the "ideal for contribution" tag in the issue repository. If you have general questions, please ask on stackoverflow.com using the spring-boot tag or chat with the community on Gitter…

Today it’s my pleasure to announce General Availability of Spring Integration for Amazon Web Services extension version 2.2.0 and Spring Cloud Stream Binder for AWS Kinesis version 1.2.0.

These releases can be downloaded from Maven Central, JCenter, and our release repository:

compile "org.springframework.integration:spring-integration-aws:2.2.0.RELEASE"

If you don’t use Kinesis Binder. Or via Binder dependency:

compile "org.springframework.cloud:spring-cloud-stream-binder-kinesis:1.2.0.RELEASE"

The main theme of both these releases is about new functionality to support Kinesis Client and Kinesis Producer libraries. For this purpose the spring-integration-aws is shipped with KclMessageDrivenChannelAdapter and KplMessageHandler implementations, respectively. At the moment an implementation is based on the KCL v1.x, since not all AWS dependencies we use in the spring-integration-aws provide the AWS SKD v2 implementation. Based on the Kinesis Client Library investigation, an additional CheckpointMode.periodic has been introduced to both KclMessageDrivenChannelAdapter and …

I am pleased to announce that Spring Batch 4.2.0.M2 is available now from our milestone repository.

What’s new?

This release adds a new item reader and a new item writer for Apache Kafka:

• KafkaItemReader can read messages from a single partition or multiple partitions of the same topic. This reader stores message offsets in the ExecutionContext to support restart.
• KafkaItemWriter uses a KafkaTemplate from the Spring for Apache Kafka project to send messages to a given topic.

I would like to thank Mathieu Ouellet for his amazing contribution in adding support for Apache Kafka in Spring Batch!

We are pleased to announce the availability of the second milestone of the Spring for Apache Kafka 2.3 release - 2.3.0.M2.

Highlights

• SeekToCurrentErrorHandler can be configured to not retry certain exceptions.

• The new RecoveringDeserializationExceptionHandler can recover from failed deserialization operations in Kafka Streams applications, for example to send the failed message to a dead-letter topic.

• The new HeaderEnricher transformer can be added to a Kafka Streams topology to add headers.

• The new MessagingTransformer can be used to invoke a Spring Integration flow within a Kafka Streams topology.

• The new AggregatingReplyingKafkaTemplate can send a record and wait for responses from multiple consumers.

…