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Spring IO Platform Brussels-RELEASE

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.

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Spring Cloud Data Flow 1.2 M1 released

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.
  • Performance optimizations to “stream list” operation. Instead of making individual calls for each app associated with the stream, the newly introduced MultiStateAppDeployer SPI operation invokes a call per stream that queries all the application statuses in a single network call
  • Improves error reporting for “stream list” operation
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Spring Cloud Task 1.2.0.M1 is now available

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.

  • Add support for parent execution ids - In complex use cases, the ability for one task to launch multiple other tasks is very common. Spring Cloud Task has already supported this via partitioned batch jobs launching worker nodes as tasks. This release provides the ability within the task repository to associate the parent child relationship that occurs from that capability (both in the batch use case and with raw tasks).

  • Upgrade to Spring Cloud Camden SR5 - This release is compatible with Spring Cloud Camden’s recent SR5 release.

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Spring Cloud Pipelines 1.0.0.M3 Released

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.

Production deployment

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 step:

  • we’re deleting the old instance (fooService-venerable)

Important
Remember to run this step only after you have confirmed that both instances are working fine!
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Spring for Apache Kafka 1.1.3 available now

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.

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Spring Cloud Camden.SR5 is available

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.

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Cloud Foundry Manifest Editor Beta released for Visual Studio Code

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 servers”. Those language servers are independent of the editor that you use. The editor and the language server are connected using a protocol (called the language server protocol). Even though Visual Studio Code introduced this protocol, other editors and IDEs started to adopt this language server protocol - like the Eclipse IDE (from version 4.7 on) or Eclipse Che as a cloud IDE. Other lightweight editors like Sublime Text and Atom will likely offer support in the near future, too. As a result, we can focus on implementing the Cloud Foundry manifest editor support as an independent language server and you can add this support to the editor or IDE of your choice.

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Spring IO Platform Brussels-RC1

It’s my pleasure to announce that Spring IO Platform Brussels-RC1 is available now from the Spring milestone repository.

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.

Read more...

Spring IO Platform Athens-SR3

I am pleased to announce that Spring IO Platform Athens-SR3 is now available from both repo.spring.io and Maven Central.

This maintenance release upgrades the versions of a number of the projects in the Platform:

  • Spring AMQP 1.6.7
  • Spring Boot 1.4.4
  • Spring Data Hopper SR7
  • Spring Framework 4.3.6
  • Spring Integration 4.3.7

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

Project Page | GitHub | Issues | Documentation

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Spring Cloud Dalston M1 Released

On behalf of the community, I am pleased to announce that Milestone 1 (M1) of the Spring Cloud Dalston Release Train is available today. The release can be found in our Spring Milestone repository. You can check out the Dalston release notes for more information.

Notable Changes in the Dalston Release Train

Spring Cloud Vault Config is a new project that provides client-side support for externalized secret management in a distributed system via Hashicorp Vault.

Config Server

Hashicorp Vault was previously added as a backend to Config Server to go along with the VCS based backends. Config Server now has support for multiple backends via a Composite pattern. This allows for combinations of backend types that was not possible before, such as: Vault and git or multiple git backends. Authentication to git repositories hosted by AWS Codecommit is now supported.

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