On behalf of the team, I am pleased to announce that Spring Framework 5.0.8 is available now.

Spring Framework 5.0.8 includes 40 fixes and selected improvements and is the base for the upcoming Spring Boot 2.0.4 release next week.

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On behalf of the community, I am pleased to announce that Spring Security 5.0.7 (changelog) has been released. The release primarily delivers bug fixes and dependency version updates along with some minor improvements. The releases will be found in the upcoming Spring Boot maintenance releases coming later this week.

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The Spring Cloud Data Flow team is pleased to announce the release of 1.6 RC1. Follow the Getting Started guides for Local Server, Cloud Foundry, and Kubernetes.

Here are the release highlights:

PCF Scheduler

The Pivotal Cloud Foundry implementation of Scheduler improved on a few fronts to enhance the developer experience. Validation of the cron-expression and proactive measures to prevent the scheduler service from creating incorrect schedules is now part of this release.

Dashboard

The stream deployment history is available for review from the Dashboard. It is convenient to review the context…

It's my pleasure to announce that Spring REST Docs 1.2.5.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 handful of bug fixes and documentation improvements. It is a recommend upgrade for all Spring REST Docs 1.x users.

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It's my pleasure to announce that Spring REST Docs 2.0.2.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 4 bug fixes and documentation improvements. It is a recommend upgrade for all Spring REST Docs 2.x users.

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I am pleased to announce that Gradle dependency management plugin 1.0.6.RELEASE is now available from Maven Central, Bintray, and the Gradle Plugin Portal. This maintenance release fixes four issues.

For Spring Boot users, the new version will be included in the Spring Boot 1.5.15 and 2.0.4 releases. For all other users of the plugin, 1.0.6 is a recommended manual upgrade.

We are pleased to announce that Spring Batch 4.1.0.M2 is now available on Github and the Pivotal download repository. Many thanks to all of those who contributed to this release!

What’s new?

Here are the highlights of this release:

• Simplify remote partitioning
• Add a new JSON item writer
• Add support for validating items with the Bean Validation API

Simplify remote partitioning

In the 4.1.0.M1 release, we created new APIs to simplify the configuration of a remote chunking step. In this milestone, we continued this effort to simplify remote partitioning through two new builders: RemotePartitioningMasterStepBuilder and RemotePartitioningWorkerStepBuilder…

The Spring Cloud Data Flow team is pleased to announce the release of 1.6 M2. Follow the Getting Started guides for Local Server, Cloud Foundry, and Kubernetes.

Here are the highlights

• Task Scheduling on PCF

• Angluar 6 update

• App Hosting Tool

Task Scheduling on PCF

We are happy to introduce the native integration of PCF Scheduler in the SCDF for Cloud Foundry implementation!

A typical workflow for batch data processing involves scheduling batch applications. For example, the scheduler system accepts a cron expression and launches the application whenever the expression matches the…

The Spring Cloud Data Flow team is pleased to announce the 1.6 M1 release and 1.5.2 release.

For 1.6 M1, follow the Getting Started guides for Local Server, Cloud Foundry, and Kubernetes.

For 1.5.2, follow the Getting Started guides for Local Server, Cloud Foundry, and Kubernetes.

Areas of improvement for 1.6 M1:

• DSL and deployment property parsing

• Task Execution status

• Composed Task Runner security

• Dashboard

• Kubernetes deployments

DSL and deployment property parsing

Launching Tasks with custom arguments is a great approach to influence the Task application with differing behaviors…