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Spring REST Docs 1.1.3.RELEASE

It’s my pleasure to announce that Spring REST Docs 1.1.3.RELEASE is available from Maven Central, JCenter, and our release repository. My thanks to everyone who contributed to this release by reporting bugs and opening pull requests.

This maintenance release includes a handful of bug fixes and documentation improvements. It is a recommend upgrade for all Spring REST Docs users.

GitHub | Issues | Documentation | Twitter | Gitter | Stack Overflow

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Spring Boot 1.5.3 Available Now

It is my pleasure to announce that Spring Boot 1.5.3 has been released and is available now from repo.spring.io and Maven Central.

Spring Boot 1.5.3 adds over 60 fixes, improvements and 3rd party dependency updates to the 70 issues fixed in Spring Boot 1.4.6. Thanks to all that have contributed!

What’s next?

The first release candidate of Spring Framework 5 is really around the corner now. We intend to release a first milestone of Spring Boot 2 the week after with support for Spring WebFlux, the new Gradle plugin and more! If you want to try those now, and we’d love to hear your feedback if you do, please go to start.spring.io and select Spring Boot 2.0.0.BUILD-SNAPSHOT.

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Spring Cloud Data Flow 1.2 RC1 released

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

Note: A great way to start using this new release is to follow the Getting Started Guide in the reference documentation.

Highlights of the 1.2 RC1 release:

Composed Tasks

This release introduces Composed Tasks ! This feature provides the ability to orchestrate a flow of tasks as a cohesive unit-of-work. A complex ETL pipeline may include executions in sequence, parallel, conditional transitions, or a combination of all of the above. The composed task feature comes with DSL primitives and an interactive graphical interface to quickly build these type of topologies more easily. You can read more about it from the reference guide.

An ETL job, for example, may include multiple steps. Each step in the topology can be built as a finite short-lived Spring Cloud Task application. The orchestration of multiple tasks as steps can be easily defined with the help of the Data Flow Task DSL.

task create simple-etl --definition "extractDbToHDFS &&
      <analysisInSpark || enrichAndLoadHawq> &&
      <populateMgmtDashboard || runRegulatoryReport || loadAnalyticsStore>"

This will first run extractDbToHDFS and then run analysisInSpark and enrichAndLoadHawq in parallel, waiting for the both of them to complete before running the three remaining tasks in parallel and waiting for them to all complete before ending the job. The graphical representation of this topology looks like the following.

Visualization of Composed Tasks

Real-time Metrics and Monitoring

Real-time metrics are now part of the operational view of deployed streams. The applications that are part of a stream publish metrics contained in their Spring Boot /metrics actuator endpoint. This includes send and receive messages rates. A new server, the Spring Cloud Data Flow Metrics Collector, collects these metrics and calculates aggregate message rates. The Data Flow server queries the Metrics Collector to support showing message rates in the UI and in the shell. For more details about the architecture, refer to the Monitoring Deployed Applications Section in the reference guide.

The screenshot below shows the aggregate message rates for a time | log stream with three instances of the time and log applications. Each dot below the main application box shows the message rates for each individual application along with a guid value that can be used to identify the application on the platform where they are running.

Visualization of Input and Output Rates in Flo

The Runtime tab, shown below, also had improvements to show message rates and any other metrics exposed by the platform. For the script savvy users, the shell experience also includes these details via the runtime apps command.

Runtime Apps UI

Companion Artifact

The companion artifact support introduced in 1.2 M3 has had some improvements. The bulk registration workflow now eagerly resolves and downloads the metadata artifacts for all the out-of-the-box applications. This comes handy in the Shell or UI when reviewing the supported properties for each application.

OAUTH Improvements

This change will provide an additional option for REST-API users. Instead of providing a username:password combination via BasicAuth, users will now have the ability to retrieve an OAuth2 Access token from their OAuth2 provider directly and then provide the Access Token in the HTTP header, when invoking RESTful calls against secured Spring Cloud Data Flow setup.

Spring Cloud Stream App Starters - Bacon.RELEASE

Bacon.RELEASE is now generally available. All the out-of-the-box stream applications build upon Spring Cloud Stream Chelsea.RELEASE and Spring Cloud Dalston.RELEASE foundation. There were several enhancements and bug-fixes to the existing applications and this release-train also brings new applications such as MongoDB-sink, Aggregator-processor, Header-Enricher-processor, and PGCopy-sink.

For convenience, we have generated the bit.ly links that includes the latest coordinates for docker and maven artifacts.

Spring Cloud Task App Starters - Belmont.RC1

The App Starters Belmont.RC1 release is now complete. To support Composed Task feature in Spring Cloud Data Flow, we have added a new out-of-the-box application named Composed Task Runner. This is a task that executes others tasks in a directed graph as specified by a DSL that is passed in via the --graph command line argument.

The Belmont.RC1 builds upon Spring Cloud Task 1.2 RC1 and Spring Cloud Dalston.RELEASE foundation.

For convenience, we have generated the bit.ly links that includes the latest coordinates for docker and maven artifacts.

What’s Next?

The 1.2.0.RELEASE is around the corner. We are aiming to wrap it over the next 2-3 weeks. Spring Cloud Data Flow’s runtime implementations will catch up and adapt to this foundation momentarily after the core release.

Feedback is important. Please reach out to us in StackOverflow and GitHub for questions and feature requests. We also welcome contributions! Any help improving the Spring Cloud Data Flow ecosystem is appreciated.

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Spring Boot 1.4.6 Available Now

On behalf of the team, I am pleased to announce that Spring Boot 1.4.6 is now available from repo.spring.io and Maven Central.

Spring Boot 1.4.6 includes 70 fixes and a selection of improvements and dependency upgrades. Thanks to all that have contributed!

How can you help?

If you’re interested in helping out, check out the “ideal for contribution” tag in the issue repository. If you have general questions, please ask on stackoverflow.com using the spring-boot tag.

Project Page | GitHub | Issues | Documentation | Stack Overflow | Gitter

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Spring Cloud Pipelines 1.0.0.M4 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.M4.

What’s new?

Apart from some bug and documentation fixes it contains a community feature done by Łukasz Szczęsny with support for Jenkins Declarative Pipeline with Blue Ocean. This is how it looks like

Production deployment

You can read more about this feature in Spring Cloud Pipelines Docs

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Spring Cloud Task 1.2.0.RC1 is now available

We are pleased to announce that Spring Cloud Task 1.2.0.RC1 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.RC1 offers the following features:

  • Upgrade to Spring Cloud Stream Chelsea GA.
  • Renamed closecontext.enable to closecontext.enabled as to match the Spring Boot style for enabled properties.
  • Task name can be set when creating a TaskExecution externally, allowing the launcher to set the name in a persistent manor.
  • Added Ordered Interface to Task Events and Batch Job Events so the user can establish when task or batch events are emitted from their Spring Cloud Task application.
  • Cleaned up Spring Cloud Task dependencies.
  • Update default task name creation to prevent conflicts with JMX.
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Spring Cloud Stream Chelsea goes GA!

On behalf of the community, I am happy to announce the general availability of the Spring Cloud Stream Chelsea release train. For this release train, the first general availability release is Chelsea.SR1, which fixes a number of issues over Chelsea.RELEASE (all within the scope of the metrics export feature). Chelsea.SR1 is also included as part of Spring Cloud Dalston.RELEASE.

The new release is available in Maven Central, and a detailed description of its features can be found in the reference documentation. For information about artifacts and most recent changes, please consult the release notes, as follows:

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Spring Data Kay M2 released

On behalf of the Spring Data team, I’d like to announce the availability of the second milestone of the release train Kay. The release is an important step towards a second generation of Spring Data.

We’ve upgraded the majority of the codebase to Java 8, now also embracing e.g. Optional in method signatures. This mostly affects internal SPIs but also leaks into user code, especially in CrudRepository. The support for reactive Spring Data repositories has been extended to Couchbase (Thanks, Subhashni!), the Redis module has a reactive template API now. The release also ships support for IsEmpty and IsNotEmpty for derived queries and implementaitons of those for MongoDB and JPA. The aggregation framework in MongoDB now also supports streaming results.

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Spring Cloud Dalston Released

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

Notable Changes in the Dalston Release Train

Vault

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

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. In the previous (Camden) release, Hashicorp Vault was already added as a backend to Config Server to go along with the VCS based backends.

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