The 1.1.1.RELEASE maintenance release of Spring Cloud Data Flow for Cloud Foundry is now available and includes a variety of stability and performance improvements. Following are the highlights:

• Stability Improvements The instability problems when using SCDF’s 1.1.0.RELEASE on PCF manifested to the users in the following forms.

  • stream list operation would hang and eventually time out with “IllegalStateException: 503 Bad Gateway” or “IllegalStateException: Timeout on block read” exceptions. This is addressed in the cf-java-client library.

  • With SCDF server sitting cold/idle for a period of time and with OAUTH token refresh routine happening in the background, any new operation to the server would never complete. The OAUTH refresh token routine had a bug in successfully negotiating for new tokens. This is addressed in the cf-java-client library.

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A batch update of releases has arrived and it is brought to you with the new Aluminium-SR1 Bill Of Material. Just in time for Spring Framework M5 !

Reactor-Core 3.0.5

release notes

An important quality update with new features including predicated-based windows and the checkpoint operator, fixes, test coverage and for the first time in 3.0.x line, a draft reference guide.

We are now working on 3.0.6.RELEASE which is going to be our last major 3.0 content update before 3.1.0.RELEASE. We encourage our Spring Community to just follow deprecated instructions if they hit any of the @Deprecated API, thus simply preparing for a quick, painless, upgrade when time comes. Have a look at our issues backlog…

It's my pleasure to announce that Spring IO Platform Brussels-RELEASE is available now from the Spring release repository and Maven Central.

The Brussels release introduces the following projects to the Platform:

• Spring Kafka 1.1

The Brussels release also upgrades the versions of a number of projects:

• Spring AMQP 1.7
• Spring Boot 1.5
• Spring Data Ingalls
• Spring Integration Java DSL 1.2
• Spring Integration Kafka 2.1
• Spring LDAP 2.3
• Spring Security 4.2
• Spring Session 1.3
• Spring Web Services 2.4

The versions of numerous third-party dependencies have also been updated.

Project Page | GitHub | Issues | …

On behalf of the team, I am excited to announce the release of the first milestone of Spring Cloud Data Flow 1.2.

Note: A great way to start using this new release(s) is to follow the release matrix on the project page, which includes the download coordinates and the links to the reference guide.

Over the last few weeks, we have added new features and improvements to the overall orchestration of data microservices. The following new features were included in the 1.2.0.M1 release:

Core

• Introduce dedicated prefixes for deployment properties. Using the deployer properties is as simple as deployer.<appname>.xxx as opposed to app.<appname>.spring.cloud.deployer.xxx
• Introduce a new REST-API controller and shell support to cleanup Task Executions
• Foundation work to consolidate the use of controllers between Task deployments and Task Executions
• Consolidate REST-API call traces and return codes for consistency
• Adds role-based access control to define who has access to create, deploy, destroy, or view streams/tasks. This works seamlessly in coordination with the supported authentication methods…

We are pleased to announce that Spring Cloud Task 1.2.0.M1 is now available via Github and the Pivotal download repository. Many thanks to all of those who contributed to this release.

Spring Cloud Task 1.2.0.M1 offers the following features:

This is the first milestone for the 1.2.x line of Spring Cloud Task. Intended to continue the integrations required for Spring Cloud Data Flow, this release provides the following new features:

• Better DataSource integration between task and batch - This release makes configuring the DataSource used by the task/batch integration easier.

• Allows an external process to update the external execution id - Prior to this release, the external execution id (the execution id for the underlying platform) had to be updated by the task itself. In some use cases, this is not possible. This release exposes the ability to update the external execution id outside the scope of the task itself.

• Allow the user to configure a prefix for the task tables - Similar to how Spring Batch allows a user to configure a prefix for the batch repository tables, Spring Cloud Task now exposes the ability to configure a prefix for task repository tables as well.

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On behalf of the Spring Cloud team it is my pleasure to announce a new milestone release of Spring Cloud Pipelines - 1.0.0.M3.

What’s new?

Apart from some bug and documentation fixes it’s providing an out of the box support for blue green deployment on Cloud Foundry (both for Concourse and Jenkins)! This is how we do it.

When you click deploy to prod

• we’re renaming the current instance of the app e.g. fooService to fooService-venerable

• we’re deploying the new instance of the app under the fooService name

• now two instances of the same application are running on production

When you click on the Complete switch over…

It is my pleasure to announce that the Spring for Apache Kafka 1.1.3 maintenance release is available now.

As usual, thanks to the community for any feedback and contribution as always. Looking forward for more!

This release contains several bug fixes, including proper offset commit handling when using a BatchListener; therefore an upgrade is highly recommended.

Right now master has been switched to the version 2.0 for Java 8 and Spring Framework 5.0 code base. We have some plans for high-level API for Kafka Streams and Reactor Kafka support.

Project Page | GitHub | Help | Documentation

On behalf of the team, I am pleased to announce that Service Release 5 of the Spring Cloud Camden Release Train is available today. The release can be found in our Spring Release repository and Maven Central. The documentation can be found here.

Included in this release is the Spring Boot 1.5 compatibility of all the Spring Cloud projects. Other than the addition of Spring Cloud Task, this release includes primarily bug fixes.

NOTE: This release is not compatible with Spring Boot 1.3. In other words your Spring Boot 1.3 application will not work with Camden.SR5.

The following modules were…

As part of our activities to support developers around the globe building applications with Spring and deploying those apps to Cloud Foundry and PCF, we are proud to announce our first beta version of the Cloud Foundry Manifest editing support for Visual Studio Code (on macOS, Linux x64, and Windows).

Why Visual Studio Code?

Visual Studio Code is a lightweight and open-source code editor that runs on macOS, Linux x64, and Windows. It is based on an interesting architecture with regards to extensibility. Support for languages in Visual Studio Code gets implemented as so called “language…