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…

I can't even believe it's May already! STOP THE WORLD I WANT OFF! Well, at least the times are exciting! There's so much cool stuff to look at this week so let's get to it!

• New sessions are up on the shiny new SpringOne Platform website check it out! In addition to an Adrian Cockcroft keynote, we're got speakers booked from Netflix, Google, Comcast, Express Scripts, Kroger, along with Spring leaders like Juergen Hoeller, Dr. Dave Syer, Rossen Stoyanchev, Oliver Gierke, and of course, yours truly!
• and join Spring Cloud Data Flow leads Mark Fisher and Mark Pollack for a look at Data Driven Microservices with Spring Cloud Data Flow
• Spring Session and Spring Security lead Rob Winch has just announced Spring Session 1.2.0.RC3.
• Spring REST Docs lead …

As we've just shipped the GA release of Spring Data release train Hopper, let's take a deeper look at the changes and features that come with the 13 modules on the train. A very fundamental change in the release train's dependencies is the upgrade to Spring Framework 4.2 (currently 4.2.5) as baseline. This is in preparation for the upcoming 4.3 release of the framework. We also took the chance to upgrade our Querydsl integration to 4.x (currently 4.1) which required some breaking changes in very core abstractions. Besides that, Hopper contains quite a few significant major version changes its…

I am pleased to announce the release of Spring Data Geode 1.0.0.APACHE-GEODE-INCUBATING-M2, offering support for the recently announced Apache Geode 1.0.0-incubating.M2 release.

Spring Data Geode is a specific version of Spring Data GemFire with support for Apache Geode rather than Pivotal GemFire.

Both Spring Data GemFire and Spring Data Geode are based on the same source repository in GitHub, however, Apache Geode support lives in the apache-geode branch. Therefore, you won't find a separate Spring Data project specifically for Apache Geode, but this is of little consequence since your existing knowledge of Pivotal GemFire combined with Spring Data GemFire will be immediately useful and transferable to Apache Geode and Spring Data Geode…

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
…

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.
…

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
…