It is my pleasure to announce that the Spring Framework 4.2.6 and 3.2.17 maintenance releases are available now. We also released the second release candidate of the 4.3 line.

4.3 RC2 contains many refinements and fixes, especially in the web framework area. We are about to finalize 4.3 with a scheduled GA in early June. Preparations towards merging 5.0 features into master will happen right afterwards, with a first 5.0 milestone expected in July.

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Spring Boot 1.3.4 has been released and is available now from repo.spring.io and Maven Central.

This maintenance release includes a number of fixes and 3rd party dependency updates.

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On behalf of the community, I'm pleased to announce the release of Spring Security 4.1.0.RELEASE. This release evolved through 4.1.0 RC1, 4.1.0 RC2, and 4.1.0 closing nearly 200 tickets.

What’s New in Spring Security 4.1

You can find highlights of what's new in the What’s New in Spring Security 4.1 section of the reference. For details refer to the changelog links above.

Contributions

Without the community we couldn't be the successful project we are today. I'd like to thank everyone that created issues & provided feedback.

Feedback Please

If you have feedback on this release, I encourage you to reach out via StackOverflow, GitHub Issues, or via the comments section. You can also ping me @rob_winch or Joe (our latest full time Spring Security team member) @joe_grandja…

On behalf of the Spring Cloud Data Flow team, I am pleased to announce the 1.0.0.M2 release of Spring Cloud Data Flow for Cloud Foundry.

Spring Cloud Data Flow for Cloud Foundry allows one to use all the goodness of Spring Cloud Data Flow (like the Shell, UI and Flo) while targeting Cloud Foundry as a backend. Stream components are deployed as individual apps in Cloud Foundry, leveraging the power of the platform to handle scaling and health monitoring.

This second milestone

• builds upon the 1.0.0.M1 release of Cloud Foundry implementation of spring-cloud-deployer
• builds upon the 1.0.0.M3 release of Spring Cloud Data Flow
• builds upon the 2.0.0.M4 release of the Cloud Foundry java client, leveraging its reactive programming style
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On behalf of the Spring Cloud Data Flow team, I am pleased to announce the 1.0.0.M2 release of Spring Cloud Data Flow for Apache YARN.

Spring Cloud Data Flow for Apache YARN allows one to use all the goodness of Spring Cloud Data Flow (like the Shell, UI and Flo) while targeting Apache YARN as a backend. Stream components are deployed as individual apps in Apache YARN, leveraging the power of the platform to handle scaling and health monitoring.

This second milestone

• builds upon the 1.0.0.M1 release of Spring Cloud YARN Deployer.
• builds upon the 1.0.0.M3 release of Spring Cloud Data Flow.
• Adds Spring Cloud Task support to orchestrate short-lived tasks including Spring Batch jobs in a YARN cluster.
• Improved IP address discovery for internal coordination.
• Adds support to host, resolve and register OOTB apps from HDFS.
• Adds installable RPM bits.
• Adds Ambari plugin to provision SCDF on YARN.
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We are pleased to announce the release of Spring Cloud Task 1.0.0.M2. This is the second milestone of the Spring Cloud Task project with some exciting new features!

What's New?

With the M1 release of Spring Cloud Task, we introduced the concept of a task, the @EnableTask annotation, and the general concept of a microservice that has an end. We've been quite busy since then. Some of the highlights of what is new include:

• Spring Cloud Task Listeners
• Integration with Spring Cloud Stream
• Integration with Spring Batch
• More samples

Let's take a look at what each of these include.

Spring Cloud…

On behalf of the team, I am pleased to announce the 1.0.0.M3 release of Spring Cloud Data Flow.

Over the last few months, we have added exciting new features and improvements to the overall orchestration of data microservices on a variety of platforms. We have also made some changes that significantly benefit developers, such as exposing Spring Boot Starters for all of the stream and task applications we publish. Following are some of the highlights from this release:

For the complete list of features, bug-fixes, and improvements, please refer to the closed 1.0.0.M3 GitHub…

On behalf of the team, I am pleased to announce 1.0.0.M2 releases of Spring Cloud Data Flow for Apache Mesos and Spring Cloud Data Flow for Kubernetes.

Spring Cloud Data Flow for Apache Mesos allows one to use all the goodness of Spring Cloud Data Flow (like the Shell, UI and Flo) while targeting Apache Mesos as a backend. Stream components are deployed as individual apps using Marathon, leveraging the power of the platform to handle scaling and health monitoring.

This second milestone

• Builds upon 1.0.0.M1 release of the Spring Cloud Deployer Mesos/Marathon implementation
• Builds upon 1.0.0.M3 release of Spring Cloud Data Flow
• Replaces spring-cloud-marathon-connector with environment variables for service connection parameters. We will improve the service discovery in future release and tie in to Mesos/Marathon’s native service discovery mechanism for runtime credentials
• Adds support to resolve, register, and run OOTB and custom apps as docker images
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I am pleased to announce that Spring Integration 4.3.0.M2 is now available from the Spring milestone repository. This release closes about 50 JIRAs and includes almost a 100 commits.

Thanks to everyone who has contributed. Especially to the Spring Cloud Stream team, whose comprehensive Spring Integration usage influences the project direction.

Some key feature since the First Milestone:

• The Spring Integration runtime object model, together with Component Metrics, now can be exposed as a graph, which may be used to visualize the current state of the integration application. When running in a web container, the @EnableIntegrationGraphController annotation, together with an IntegrationGraphServer bean, creates a service to retrieve the model and state over the REST protocol, e.g. in JSON notation:
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