On behalf of the Spring Data team, I'm pleased to announce the availability of the second milestone of the Moore release train.

Notable changes include:

• Support for Kotlin Coroutines in Spring Data MongoDB, Cassandra and Redis.
• Querydsl support for reactive repositories.
• Range type support for derived repository query methods using between for Spring Data MongoDB & Cassandra.
• exists projection in Neo4j repositories.
• Reactive repositories for Spring Data Elasticsearch.
• Pivotal Gemfire and Apache Geode upgrades.
• Upgrade to Spring HATEOAS 1.0 M1.
• ...and numerous features for the JDBC module like direct insert & update methods skipping the is new check.
…

The Spring Cloud Data Flow team is pleased to announce the release of 2.0 of Data Flow. Follow the Getting Started guides for running on Local, Cloud Foundry, and Kubernetes.

Hand in hand is the 2.0 release of Spring Cloud Skipper. The getting started section in the reference guide is the best place to start if you want to use Skipper separately from Data Flow.

Here are the highlights for Data Flow

• Stream deployment always delegates to Skipper

• Single server that runs on all supported platforms

• Launch tasks against multiple platforms

• UI improvements

• Standardize on OAuth2 and OpenID Connect for Security

• Revamped metrics and monitoring of deployed applications

• Updated analytics using micrometer

• Database migration support

• Update to Boot 2.1

• Update internals to use JPA

• Task/Job Execution and Performance improvements

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Dear Spring community, we’re proud to announce the first milestone of Spring HATEOAS 1.0. Spring HATEOAS has been in development for almost seven years now. What started as tiny extension to Spring MVC became the foundation for Spring Data REST later on and has served as a fundamental building block for hypermedia based APIs in Spring MVC applications.

We received a lot of input for more advanced features from the community and eventually decided that it was time to integrate those into the library. Also, we gained a significant amount of experience using the library in the wild and thought we…

The java-cfenv library is a new library for accessing Cloud Foundry Services. For Spring Boot users, it extracts service credentials from the VCAP_SERVICES environment variable and sets well known Spring Boot auto-configuration properties.

You can find more about it in the 1.0 M1 release blog as well as the README.

In this release the following Cloud Foundry Services are supported

• Databases - DB2, MySQL, Oracle, Postgresql, SqlServer

• RabbitMQ

• Cassandra

• MongoDB

• Redis

• Pivotal Single Sign On

Of note, there is a new interface, CfEnvProcessor that simplifies what you need to write in order to provide integration with other Cloud Foundry services. The docs on supporting other services…

On behalf of the community, I’d like to announce the availability of the Spring Vault service release 2.1.2 available from Maven Central.

This release ships with bug fixes and dependency version updates. Spring Vault 2.1.2 is going to be picked up by Spring Cloud Vault 2.1.2 with the Spring Cloud Greenwich SR1 release in the next days.

For a complete list of changes see the changelog.

End of Life for 1.1.x and 2.0.x Lines

With this release cycle, we have stopped backporting changes to the earlier Spring Vault 2.0.x line. The 2.0.x line has already reached its end of life. For the 1.1.x line, we’re going to backport fixes until Aug 1st, 2019, in alignment with Spring Boot 1.5.x and Spring Cloud Edgware…

The java-cfenv library is new library for accessing Cloud Foundry Services. For Spring Boot users, it extracts service credentials from the VCAP_SERVICES environment variable and sets well known Spring Boot auto-configuration properties.

In this release the following Cloud Foundry Services are supported

• Databases - DB2, MySQL, Oracle, Postgresql, SqlServer

• RabbitMQ

• Cassandara

• MongoDB

• Redis

In 1.0 RC1 two other modules were introduced that contain support for Pivotal’s Spring Cloud Service and Single Sign on tiles. The java-cfenv-boot-pivotal-scs module provides support for Config Server and java-cfenv-boot-pivotal-sso module…

On behalf of the community, I am pleased to announce that the Service Release 3 (SR3) of the Spring Cloud Finchley Release Train is available today. The release can be found in Maven Central. You can check out the Finchley release notes for more information.

Notable Changes in the Finchley Release Train

Spring Cloud Config

• Spring Cloud Config server now honors the if-modified-since header in requests before

retrieving data and returns last-modified header in response

• Issues

Spring Cloud Stream

*Elmhurst.SR2 Release

Spring Cloud Sleuth

• Issues

Spring Cloud Zookeeper

• Issues

Spring Cloud…

Dear Spring Community,

I am happy to announce the 4.1.2 release of the Spring Tools 4 for Eclipse, Visual Studio Code, and Atom.

Highlights from this release include:

• (Spring Boot) new: live hover information for bean wirings now supports war-packaged boot apps running in a local server installation
• (Spring Boot) new: live hover information for @Value annotations (#177)
• (Spring Boot) new: bean symbols from XML config files now include exact location information
• (Spring Boot) fixed: navigate to resource in live hovers for apps running on CF works again
• (Spring Boot) fixed: search for symbols in project now happens on the server side to avoid no project-related symbols showing up on the client side before you start typing in a query
• (Spring Boot) performance: improvement to further reduce the CPU load when checking processes for live hovers (#140…

The Spring Cloud Data Flow team is pleased to announce the release of 2.0 RC1 of Data Flow. Follow the Getting Started guides for running on Local, Cloud Foundry, and Kubernetes.

Hand in hand is the 2.0 RC1 release of Spring Cloud Skipper. The getting started section in the reference guide is the best place to start if you want to use Skipper separately from Data Flow.

Here are the highlights for Data Flow

• Revamped metrics and monitoring of deployed applications on Kubernetes

• Updated analytics using micrometer

• Security improvements

• Dashboard improvements

• Database migration support

…