The release 2.4.0 mainly focused on the UI updates and selected enhacements. Our post for 2.4.0.M1 contains more info about the changes. Stay in touch... As always, we welcome feedback and contributions, so please reach out to us on Stackoverflow or GitHub or via Gitter.
This is a maintenance release for small bug fixes, enhancements, and dependency updates. Generally speaking, we’re now on Spring Cloud Hoxton SR1. List of fixed issues can be found from 2.3.1 Issue List Maven Preemptive Authentication Support for using Maven Wagon transport for HTTP has been added to the Maven Artifact Resolver infrastructure. The driver for this was a request from a user to be able to use preemptive authentication with JFrog’s artifactory. Use of it is currently optional via a property but we’re looking to make it default sometime in the future and possibly introduce more…
UI Changes to Stream Editor Stream Editor went through a much-needed touch of love and should now be more visually appealing. Here’s a simple screenshot what it looks like:
blog-new-stream-editor Maven Preemptive Authentication Support for using Maven Wagon transport for HTTP has been added to the Maven Artifact Resolver infrastructure. The driver for this was a request from a user to be able to use preemptive authentication with JFrog’s artifactory. Use of it is currently optional via a property but we’re looking to make it default sometime in the future and possibly introduce more wagon…
The release 2.3.0 delivers a lot of enhancements and generic compatibility changes for Spring Boot 2.2.x and Spring Cloud Hoxton. Continuous Deployment For Tasks As task applications evolve faster to keep up with business needs, the ability for new versions to be consumed via Data Flow in an automated way is needed. While Data Flow has supported the ability to register multiple versions of a task application in previous iterations, the ability to run them in a practical way by re-hydrating command line arguments, deployment properties, and application properties used in previous executions has…
I’m pleased to announce a first milestone release of a Spring Statemachine 3.0.0.M1 and with these words I can say that Statemachine is going reactive. Statemachine itself would not need to be reactive for its own execution but as soon as machine steps outside of its controlled environment to execute user defined logic like Actions and Guards there is no guarantees that those features would not block. Those using persisting features with a databases will benefit with reactive changes when that side of a world becomes more reactive. Essentially every time we need to take a step outside from a…
The Spring Cloud Data Flow team is pleased to announce the GA release of 2.2.0. In this GA release, Spring Cloud Data Flow team has worked on some of the key features including task application management, stability on the product by increasing the acceptance tests coverage across platforms (local, Kubernetes and Cloud Foundry), bug fixes and enhancements. Task Application Management It is now possible to stop and delete task executions using the SCDF Dashboard and the Shell.
We have added support for task application monitoring using micrometer integration. The core of the Micrometer…
The Spring Cloud Data Flow team is pleased to announce the release of a 2.1.0 M1 milestone-release. Follow the Getting Started guides for running on Local, Cloud Foundry, and Kubernetes. What’s new? SCDF Helm Chart and Apache Kafka With continued interest from the community, as of v2.0.2, we have now added support to toggle between RabbitMQ and Apache Kafka when using SCDF’s helm chart. Though the chart is in the PR status in Helm repository, you could still try it out and give us feedback. Docker Compose and Apache Kafka To continue with the same trend in regards to Apache Kafka, along with…
We’re pleased to announce a release of Spring Statemachine 1.2.0.RELEASE. Artifacts are available either from Maven Central or from Spring Repository. Let's see what we did for this initial 1.2.x release Usual bug fixes and small enhancements. Support for UML submachines. New Spring Data Repository abstraction keeping machine configurations in an external repository with built-in support for Redis, MongoDB and JPA. New samples. New support for state do actions. New monitoring and tracing API's. Initial support for Spring Boot auto-config. New transition and state error action concepts. There's…
We’re pleased to announce a release candicate of Spring Statemachine 1.2.0.RC1. Artifacts are available from Spring Repository. What we got into this release: Usual bug fixes and small enhancements New api's for tracing and monitoring New monitoring sample Full repository config support for Redis, MongoDB and JPA Boot auto-config enhacements Lot of documentation enhacements Full changes as usual are available from changelog. We're planning to fire up 1.2.0.RELEASE before xmas and possibly do a second release candicate if any major issues are found. Thank you for all who have contributed in…
On behalf of the Spring Cloud Data Flow team, I am pleased to announce the 1.1.0.RC1 release of Spring Cloud Data Flow for Apache YARN. Spring Cloud Data Flow for Apache YARN allows one to use all the goodness of Spring Cloud Data Flow (like the Shell and UI) while targeting Apache YARN as a backend. Stream components are deployed as individual apps in Apache YARN, leveraging the power of the platform to handle scaling and health monitoring. This first release candicate Builds upon Spring Cloud Data Flow 1.1.0.RC1 and Spring Cloud Deployer 1.1.0.RC1. Support for keeping multiple deployer…
