Spring Session 1.2.1 Released
I'm pleased to announce the release of Spring Session 1.2.1.RELEASE. This release contains numerous bug fixes and trivial enhancements.
I'm pleased to announce the release of Spring Session 1.2.1.RELEASE. This release contains numerous bug fixes and trivial enhancements.
I am pleased to announce that Gradle dependency management plugin 0.6.0.RELEASE is now available from Maven Central, JCenter, and the Gradle Plugin Portal.
This new release is compatible with Gradle 3.0. At the time of writing it's tested against 3.0 M2 and the 0.6.x line will continue to track Gradle 3.0 development to maintain compatibility if at all possible.
Previously, an imported bom's properties could be overridden using project properties. This new release adds support for overriding a property as part of the import. bomProperty
can be used to override properties one at a time (and can be used multiple times to override multiple…
We are pleased to announce the Spring for Apache Hadoop 2.4.0 GA release.
In addition to version upgrades for Hadoop distros Spring for Apache Hadoop 2.4 adds the following improvements:
See the release changelog for details.
We continue to provide version specific artifacts with their respective transitive dependencies in the Spring IO milestone repository:
I am pleased to announce the 1.0.0.M3 release of Spring Cloud Data Flow for Cloud Foundry, a team effort that encompasses many new features under the hood:
This third milestone builds upon the recent RC1 release of Spring Cloud Data Flow and also adds Cloud Foundry specific refinements. Some highlights include:
Alignment with Cloud Foundry’s global environment properties such as ORG, API, and URL as opposed to previous naming variants
Adds security integration to authenticate against OAUTH backend server that’s compatible with Cloud Foundry
Publishes security configurations for easier overrides when connecting to OAUTH backend server that’s compatible with Cloud Foundry
Preliminary iterations on performance testing on Cloud Foundry with and without taps’s in real-time streaming pipeline
Builds upon feature-toggle support from Spring Cloud Data Flow’s core project to conditionally refine what features get included in each release
…On behalf of the Spring Cloud Data Flow team, I am pleased to announce the 1.0.0.RC1 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 and UI) 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 first release candicate
I am pleased to announce the 1.0.0.RC1 release candidate of Spring Cloud Data Flow for Kubernetes, a team effort that encompasses many new features under the hood.
This release candidate builds upon the recent 1.0.0.RC1 release of Spring Cloud Data Flow and also adds Cloud Foundry specific refinements. Some highlights include:
/info
…I am pleased to announce the 1.0.0.RC1 release candidate of Spring Cloud Data Flow for Mesos, a team effort that encompasses many new features under the hood.
This release candidate builds upon the recent 1.0.0.RC1 release of Spring Cloud Data Flow. Some highlights include:
To get started using Spring Cloud Data Flow for Mesos follow these steps outlined…
On behalf of the team I am pleased to announce the release of Spring Cloud Data Flow 1.0 RC1.
Several exciting new features have been added in this release which carry over to the other Data Flow Server implementations that were also released today.
Follow the links above for details on features unique to each individual runtime platform. The highlights of the release are:
We are pleased to announce the release of Spring Cloud Task 1.0.0.RC1. This is the first release candidate of the Spring Cloud Task project!
This release really represents the polishing of the functionality that existed within 1.0.0.M2:
There are a few minor breaking changes (renaming of a few methods) but those are all to get things right for our 1.0.0.GA. This release will serve as the baseline version of Spring Cloud Data Flow's 1.0.0.RC1 as well.
We…
On behalf of the Spring Data team I’d like to announce the availability of the second service release of the Spring Data Hopper release train. The release ships 103 issues fixed. We fixed a couple of bugs in the area of repository projections, especially for JPA users and introduce Hibernate 5.2 compatibility with this release (also already back-ported to the Gosling release train for inclusion in the upcoming service release). Hopper SR2 is a recommended upgrade for all Hopper users and also users of previous release trains.
Here are the released modules: