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Spring REST Docs 2.0.2.RELEASE

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.

GitHub | Issues | Documentation | Twitter | Gitter | Stack Overflow

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Spring REST Docs 1.2.5.RELEASE

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.

GitHub | Issues | Documentation | Twitter | Gitter | Stack Overflow

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Spring Batch 4.1.0.M2 Released

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.

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Spring Cloud Data Flow 1.6 M2 released

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 current time.

Data Flow provides the ability to schedule and unschedule a task definition. The schedule is based on a cron expression. Building upon the PCF Java Client the team has created a portable scheduler interface in the Spring Cloud Scheduler SPI project (Service Provider Interface) and an implementation for PCF, Spring Cloud Scheduler for Cloud Foundry. The Dashboard provides access to schedule and unschedule a task as shown in the screenshot below.

Create Schedule
List and Delete Schedules
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Spring Cloud Data Flow 1.6 M1 and 1.5.2 released

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 at runtime. Imagine influencing the batch-job (running as a Task) that accepts timezone as an argument to perform timezone specific data processing. In this release, we have adapted the parsing logic to include key-value pairs as values. Thanks to the community for reporting, giving us feedback, and sharing of their use-cases.

While reviewing the parsing rules for in-line vs. property files based properties for stream and task definitions, the community has found a difference in behavior, and that we have documented it for general guidance.

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Spring Tool Suite 3.9.5 released

Dear Spring Community,

I am happy to announce the 3.9.5 release of the Spring Tool Suite, our Eclipse-based tooling.

Highlights from this release include:

  • updated to Eclipse Photon release, including support for JDK 9/10, performance improvements, and more.
  • Pivotal tc Server updated to 4.0.1
  • various bug fixes

To download the distributions, please go visit:

Detailed new and noteworthy notes can be found here: STS 3.9.5 New & Noteworthy.

STS 3.9.6 is scheduled to be released on top of Eclipse 2018-09 in late September 2018.

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Spring Cloud Edgware.SR4 Has Been Released

On behalf of the community, I am pleased to announce that the Service Release 4 (SR4) of the Spring Cloud Edgware Release Train is available today. You can find the release in Maven Central. You can also check out the Edgware release notes for more information.

Notable Changes in the Edgware Release Train

spring-boot-autoconfigure-processor

  • All of the projects have a new optional dependency, spring-boot-autoconfigure-processor. See Spring Cloud Commons issue #377.

Spring Cloud Commons

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Spring Cloud Open Service Broker 2.0.0.RELEASE is now available

We’re pleased to announce that the 2.0.0 release of Spring Cloud Open Service Broker is now generally available. Spring Cloud Open Service Broker is a framework for building Spring Boot applications that implement the Open Service Broker API.

The Open Service Broker API project allows developers to deliver services to applications running within cloud native platforms such as Cloud Foundry, Kubernetes, and OpenShift. Spring Cloud Open Service Broker provides a framework based on Spring Boot that enables you to quickly create a service broker for your own managed service on platform that support the Open Service Broker API.

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Spring Cloud Task 1.2.3.RELEASE is now available

We are pleased to announce that Spring Cloud Task 1.2.3.RELEASE is now available via Maven Central, Github and the Pivotal download repository. This release adds the ability to retrieve the last TaskExecution for a specific task. A special thanks to Gunnar Hillert for the contributions around this issue. And additional thanks to Ilayaperumal Gopinathan for helping out with the project.

Spring Cloud Task Home | Source on GitHub | Reference Documentation

We look forward to your feedback in Github, StackOverflow, to me directly via Twitter @cppwfs

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