Spring Team
Marius Bogoevici

Marius Bogoevici

Spring Cloud Stream Lead

New York, NY

Marius Bogoevici is a software engineer at Pivotal, leading Spring Cloud Stream, and working on Spring Cloud Data Flow, Spring XD, and other Spring projects.
Blog Posts by Marius Bogoevici

Spring Cloud Stream Brooklyn.SR2 and Chelsea.M1 released

On behalf of the community, I am happy to announce the release of Spring Cloud Stream Brooklyn.SR2 and Chelsea.M1 release trains. As part of the next installment to Brooklyn release train, Brooklyn.SR2 adds a number of new features and fixes. The next release train Chelsea.M1 builds on top of Spring Boot 1.5 and a contains a core improvement listed below.

What is new?

A few highlights of the improved areas:

  • Schema Registry Support: fixed issues related to using the Schema Registry server, in particular support for MySQL and Postgresql;
  • Aggregate Applications: improved support for property propagation via namespaces;
  • Reactive support: Aligns declarative (e.g. reactive) handler support with imperative mode, which makes it easier to seamlessly adopt a functional programming model. In particular, this adds support for the following idiom:
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Spring Cloud Stream Brooklyn.RELEASE is available

On behalf of the team, I am happy to announce the general availability of the Spring Cloud Stream Brooklyn release train. Spring Cloud Stream Brooklyn.RELEASE is available for use in the Spring Release repository and in Maven Central. A detailed description of the features and new capabilities as discussed below can be found in the reference documentation. The release notes are available here and include important information on the migration path.

At a high level, Brooklyn.RELEASE introduces the following new features:

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Spring Cloud Stream Brooklyn.RC1 is available

On behalf of the team, I am pleased to announce the release of the first release candidate of the Spring Cloud Stream Brooklyn release train. Spring Cloud Stream Brooklyn.RC1 is available for use in the Spring Milestone repository, a detailed description of its features can be found in the reference documentation. Release notes are available here and include important information on the migration path.

As this release follows closely the previous milestone release it contains a small number of fixes, and one major addition, which is support for Kafka 0.10 via drop-in dependency replacement.

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Spring Cloud Stream Brooklyn.M1 is available

On behalf of the team, I am pleased to announce the release of the first milestone of the Spring Cloud Stream Brooklyn release train. Spring Cloud Stream Brooklyn.M1 is available for use in the Spring Milestone repository, a detailed description of its features can be found in the reference documentation. Release notes are available here and include important information on the migration path.

From a Monolith to a Release Train

Spring Cloud Stream Brooklyn.M1 succeeds Spring Cloud Stream 1.0. The change in the naming scheme reflects the project’s structural changes, in particular switching from a monolithic structure, where the core components and the binder implementations are contained together, to a more decentralized one. In the new structure, the core and binder implementations are separate projects, with their own release cadence. A release train BOM aggregates the release components together and manages their versions.

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Spring Cloud Stream 1.0.2.RELEASE is available

Shortly after the 1.0.1.RELEASE announcement last week we’ve identified a critical and very specific issue concerning multi-binder configurations in cloud environments. As a result, we have decided to follow up with a 1.0.2.RELEASE to handle that and ensure that the fix is available in the upcoming Brixton.SR1 release. The artifacts can be found in Spring Repository as well as Maven Central.


I will be talking about Spring Cloud Stream at Spring One Platform, which will be taking place in Las Vegas between August 1-4 this year. There are many other great talks so check the agenda and get your ticket if you haven’t done so already.

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Spring Cloud Stream 1.0.1.RELEASE is available

On behalf of the team, I am pleased to announce that Spring Cloud Stream 1.0.1.RELEASE is now available. The artifacts can be found in Spring Repository as well as Maven Central.

As a maintenance release it includes a number of fixes and improvements, such as:

  • additional configuration options for bindings;
  • the ability to create binder configurations that do not interfere with the user-created ones; this is a feature useful for libraries that include Spring Cloud Stream under the hood and wish to do so
    transparently.
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Spring Cloud Stream 1.0.0.RELEASE is available

On behalf of the team, I am pleased to announce the general availability of Spring Cloud Stream 1.0.0.RELEASE. The artifacts can be found in Spring Repository as well as Maven Central.

The goal of Spring Cloud Stream is to be a lightweight framework for developing event-driven microservices, building on the ease of development and deployment of Spring Boot, and the component model and integration capabilities of Spring Integration. As part of the Spring Cloud family of projects, it has a specific focus on cloud-native architectures.

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Spring Cloud Stream 1.0.0.RC2 is now available

On behalf of the team, I am pleased to announce the release of Spring Cloud Stream 1.0.0.RC2, available here. As part of the release candidate cycle, it comes with a number of bug fixes and a small number adjustments. The complete list of changes is available here.

Some highlights:
- Spring Cloud Stream applications now use the ObjectMapper provided by Spring Boot, if available;
- Header embedding is now a general purpose producer/consumer property. It can be enabled or disabled by middlewares that require embedding for header propagation. This allows easier interoperability outside Spring Cloud Stream; (until now it was a Kafka-specific property);
- Further documentation and sample improvements.

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Spring Cloud Stream 1.0.0.RC1 is now available

On behalf of the team, I am pleased to announce that the first release candidate for Spring Cloud Stream is out. As the last milestone before 1.0.0.RELEASE, it stabilizes the APIs, and comes with a number of new features and bug fixes, in the area of tooling support, and content type management. Here is a highlight of the most important changes:

Binder and binding property restructuring

The configuration for binders and bindings has changed to a model friendlier to Spring Boot configuration metadata. Now all the configuration properties (including binding-specific properties) support validation and completion (in Spring Tool Suite).

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Spring Cloud Stream 1.0.0.M4 is now available

On behalf of the team, I am pleased to announce the release of Spring Cloud Stream 1.0.0.M4. The new release comes with a few major changes and enhancements, and it defines core abstractions and primitives that we believe to be essential for the development of distributed real-time data processing applications. To name some of them:

Default publish-subscribe semantics

The most important change in Spring Cloud Stream 1.0.0.M4 is the way in which applications interact with each other. We have opted for a default publish-subscribe model, in which each application that receives messages from a given destination will receive a copy of the message. This is a better fit for the processing model of stream applications, where intermediate topics act as data hubs for the various intersecting data streams, also making scenarios such as tapping easier and more efficient. This feature goes hand in hand with the next, which is consumer groups.

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