Spring Cloud Stream 1.3 goes GA

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 application business-logic and Apache Kafka. With most of the standard message broker-specific settings exposed as Spring Boot properties, it is easy to use and override to adapt to business needs.

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Spring Vault 1.1.0 GA and 2.0.0 M3 available

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.

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Spring Session Data Geode/GemFire 2.0.0.M2 Available

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.

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