On behalf of the Spring Data team, I’m happy to announce the first milestone of the Ingalls release train. The release ships 230 tickets fixed! The most noteworthy new features are:

• Use of method handles for property access in conversion subsystem (Commons, MongoDB).
• Upgrade to Cassandra 3.0 for Spring Data Cassandra (see the updated examples for details).
• Support for declarative query methods for Cassandra repositories.
• Support for Redis geo commands.
• Any-match mode for query-by-example.
• Support for XML and JSON based projections for REST payloads (see the example for details)

Find a curated change log in our release train wiki or skim through a full list of changes in JIRA…

Dear Spring Community,

It is my pleasure to announce that the Spring Integration AWS 1.0.0.RELEASE is available now.

As usual, thanks to the community for any feedback and contributions!

This release contains several critical bug fixes (mostly community driven) and aligns requirements of the upcoming Spring Cloud Stream Application Starters release.

We haven’t added any new features since the latest announcement and have concentrated mostly on improvements, bug fixes and integration testing, to deliver this product as soon as possible. For the next 1.1 version we would like to hear from you about priorities since there are still many Amazon features…

Dear Spring community,

I’m pleased to announce that a number of Spring Integration 4.x.x (4.3.1, 4.2.9, 4.1.9, 4.0.9) maintenance versions have been released. It’s strongly recommended for everyone to upgrade because these releases contain some important bug fixes and improvements.

We do not anticipate releasing more versions of the for 4.1.x and 4.0.x branches. If you use these in your projects, consider upgrading to 4.3.x as soon as possible.

While you can find all the changes for 4.3.1 in its Release Notes, here are some highlights:

• It is a foundation for upcoming Spring Boot 1.4 GA;

• Routers can now resolve channelKey as a Class<?> correctly. Previously such a configuration produced the following exception:

…

It's my pleasure to announce that Spring REST Docs 1.1.1.RELEASE is available from Maven Central, JCenter, and our release repository. My thanks to everyone who contributed to this release by reporting bugs and opening pull requests.

This maintenance release includes a number of bug fixes and is a recommend upgrade for all Spring REST Docs users.

Project Page | GitHub | Issues | Documentation

It is my pleasure to announce that the Spring AMQP 1.6.1 maintenance release is available now.

As usual, thanks to the community for any feedback and contribution all the ways!

This release contains several critical bug fixes, therefore an upgrade is highly recommended.

We haven’t switched master branch to 2.0 yet, but that is really our intention in the nearest future to start enjoying a new Spring 5.0 and Java 8 foundation for Spring AMQP project code base!

Project Page | GitHub | Help | Documentation

It is my pleasure to announce that the Spring for Apache Kafka 1.0.2 maintenance release is available now.

As usual, thanks to the community for any feedback and contribution all the ways!

This release contains several critical bug fixes, therefore an upgrade is highly recommended. The master branch has now switched to 1.1 and we are starting migrating to Kafka 0.10 and other features on the matter with possible Milestone 1 later this month.

Project Page | GitHub | Help | Documentation

For more details about Spring for Apache Kafka , check Gary Russell’s session at SpringOne Platform, which is taking place in Las Vegas between August 1-4 this year. There are many other great talks so check the agenda and get your ticket…

We are pleased to announce the release of Spring Cloud Data Flow for Apache YARN 1.0.0.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.

This project was originally conceptualized with the goal to supplement the existing Spring XD users who have investments running streaming and batch data pipelines in a more traditional bare-metal setup. We wanted to provide migration path to help port over their existing investments and the tools and techniques to reap the benefits of…

On behalf of the team, I’m excited to announce the 1.0 GA release of Spring Cloud Data Flow!

Note

A great way to start using this new release is to follow the Getting Started section of the reference documentation. It uses a Data Flow server that runs on your computer and deploys a new process for each application.

Spring Cloud Data Flow (SCDF) is an orchestration service for data microservices on modern runtimes. SCDF lets you describe data pipelines that can either be composed of long lived streaming applications or short lived task applications and then deploys these to platform runtimes that you may already be using today, such as Cloud Foundry, Apache YARN, Apache Mesos, and Kubernetes. We provide a wide range of stream and task…

We are pleased to announce the release of Spring Cloud Data Flow’s Cloud Foundry 1.0.0.M4.

In this milestone release, we have few improvements to the APIs and the general stability of the overall design constructs.

• Builds upon 1.0.0.RELEASE of Spring Cloud Data Flow Core (shell, UI, REST-APIs, etc.)

• Streamlines application vs. deployment property semantics

• Adds a migration guide and other documentation fragments to the reference documentation

• Adds a project site

Journey Ahead

• We are looking forward to Reactor and Cloud Foundry Java Client’s RC and GA releases and by this month, we shall release 1.0.0.RELEASE of Spring Cloud Data Flow for Cloud Foundry.

• We have exciting work-in-progress to orchestrate short-lived microservices through TaskLauncher constructs in the Spring Cloud Deployer for Cloud Foundry project. We are hopeful to deliver the BETA release of this functionality alongside the upcoming Pivotal Cloud Foundry’s 1.7.x release.

…