Spring co-founder and Spring Framework lead Juergen Hoeller wins JAX Special Jury Award

Engineering | Josh Long | October 10, 2017 | ...

The JAX Innovation awards just took place. The Spring team has been a recipient of the award in a few cases over the years (and a nominee in even more cases), but this year was exceptional.

This year, the jury awarded Spring co-founder and lead engineer Juergen Hoeller (or Jürgen Höller, in his native (Austrian) German language) the Special Jury Award.

We don't normally talk about individuals on this blog, but few can be said to have done so much towards making Spring - and all that has come as a result of it - so successful as Juergen Hoeller has, and does.

The JAX Innovation Awards…

Spring Session Data Geode/GemFire 2.0.0.M2 Available

Engineering | John Blum | October 06, 2017 | ...

Greetings Spring Community!

I am pleased to announce the second milestone of both Spring Session Data Geode for Apache Geode and Spring Session Data GemFire for Pivotal GemFire.

The 2nd milestone release brings many welcome improvements, including:

  • Upgrades to Spring Framework 5.0.0.RELEASE.

  • Upgrades to Spring Data Kay-RELEASE.

  • Upgrades to Spring Session 2.0.0.M4.

  • Upgrades to Spring Boot 2.0.0.M4.

  • Adds support for Pivotal GemFire and Apache Geode PDX Serialization.

  • Introduces a new Serialization framework and adapter for Pivotal GemFire/Apache Geode’s Data Serialization and PDX frameworks.

Spring Vault 1.1.0 GA and 2.0.0 M3 available

Releases | Mark Paluch | October 06, 2017 | ...

On behalf of the community, I’m pleased to announce the general availability of Spring Vault 1.1.0 and the third milestone of Spring Vault 2.0, available from Maven Cental respective the milestone repository.

Highlights of Spring Vault 1.1 GA release are:

  • Pull-mode support for AppRole authentication.

  • Vault login using via AWS IAM.

  • Support of batch transit operations.

  • Rotation of generic secrets based on their lease duration.

  • Introduction of VaultEndpointProvider to configure endpoints dynamically.

Looking at Spring Vault 2.0 M3 you will find the following enhancements:

  • Vault repositories via @EnableVaultRepositories built on top of Spring Data KeyValue.

  • Support to create and modify Vault’s policies represented as JSON.

Spring Cloud Stream 1.3 goes GA

Engineering | Vinicius Carvalho | October 06, 2017 | ...

We are pleased to announce the general availability release of the Spring Cloud Stream Ditmars release train.

Spring Cloud Stream Ditmars.RELEASE is available for use in the Spring Release repository. The release notes include relevant information about version compatibility with Spring Boot, Spring Cloud, Spring AMQP, and Spring for Apache Kafka.

The following sections list new features included in this release.

Apache Kafka

Kafka Streams for Apache Kafka

Spring Cloud Stream automates discovery and auto-configuration, and it provides a simple approach to facilitating the interactivity between…

Spring AMQP 2.0.0 RELEASE Available

Releases | Artem Bilan | October 05, 2017 | ...

I am pleased to announce that the 2.0.0.RELEASE of Spring AMQP is now available in the Spring release repository and Maven Central.

First of all thanks to all community members for any feedback and contributions to make this new instalment of Spring for AMQP and RabbitMQ support project!

Some highlights what we have after a year and a couple months of amazing team work:

  • Full Java 8 and Spring Framework 5.0 support;

  • New spring-rabbit-junit artifact with some useful testing utilities including BrokerRunning JUnit @Rule;

  • The amqp-client library of version 5.0;

  • A DirectMessageListenerContainer to allow to consume messages directly on the client thread instead of queue-based logic in the SimpleMessageListenerContainer;

  • A ConnectionNameStrategy option for the ConnectionFactory to name target Broker connections for possible diagnostics;

  • new RabbitOperations.invoke() for batch of template operation on the dedicated, thread-bound channel;

  • Encoder support for the Logback AmqpAppender;

Spring Cloud Dalston SR4 Is Now Available

Releases | Ryan Baxter | October 03, 2017 | ...

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

The following modules were updated as part of Dalston.SR4:

Module Version
Spring Cloud Contract 1.1.4.RELEASE
Spring Cloud Config 1.3.3.RELEASE
Spring Cloud Commons 1.2.4.RELEASE
Spring Cloud Netflix 1.3.5.RELEASE
Spring Cloud Sleuth 1.2.5.RELEASE

As always, we welcome feedback on GitHub, on Gitter, on Stack Overflow, or on Twitter

This Week in Spring - October 3rd, 2017 - Spring Framework 5.0 Edition!

Engineering | Josh Long | October 03, 2017 | ...

Welcome to another installment of This Week in Spring! This last week's been nuts! So much good stuff on offer. Spring Framework 5.0 is now available! And with Spring Framework 5.0 comes a deluge of releases, all of which you'll see in this post. Also, this week I - and others from the Pivotal and Spring teams - are at JavaOne and I hope you'll come find us and say hi at our booth or the various talks.

Spring For Apache Kafka 2.0 GA Available

Releases | Artem Bilan | October 02, 2017 | ...

We are pleased to announce the general availability of the 2.0.0.RELEASE of the Spring for Apache Kafka 2.0 version.

As mentioned in the 2.0 RC1 announcement, the 1.3 GA is also available supporting the Kafka 0.11.x.x client with Spring Framework 4.3.x applications.

They are available for download from the Release Repository and Maven Central:

repositories {
    maven { url 'http://repo.spring.io/release' }
}
compile "org.springframework.kafka:spring-kafka:2.0.0.RELEASE"

That was 6 months journey to bring a Java 8 and Spring Framework 5 vision for Spring for Apache Kafka project and here is…

Spring Data release train Kay goes GA

Engineering | Oliver Drotbohm | October 02, 2017 | ...

On behalf of the Spring Data engineering team I am happy to announce the general availability of Spring Data Kay. It's the first major revision since Spring Data's inception in 2009 and thus packed with tons of features. Here are the most significant ones:

  • Upgrade to Spring Framework 5.0, Java 8 and JavaEE 7 as baseline
  • Revised repository APIs (better method names, Optional etc.)
  • A revised repository composition model
  • Support for reactive data access for Cassandra, Couchbase, MongoDB and Redis
  • Addition of Spring Data Geode to the release train
  • Use of nullability annotations and advanced runtime checks on those
  • Kotlin support for null-safety and immutable data classes supported through Kotlin constructors
  • General Java 9 compatibility

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