We are pleased to announce the first release milestone of Spring Shell 2.x! Two years in the making, Spring Shell 2 is a complete rewrite of Spring Shell, leveraging newer components (such as JLine 3) and applying better modularization. Spring Shell 2 is also built with Spring Boot in mind, making use of auto configuration and other boot features. The internal architecture now uses a pluggable model to discover what methods to turn into commands, how to parse user input into argument values and how to handle return values. This is very similar to the approach taken by Spring MVC for example…

On behalf of the Data Flow team, I am pleased to introduce you to the first of a hopefully long series of posts highlighting features of Data Flow and related projects. We’ll start gently with a short video discussing the Data Flow shell and some of its features (some of them coming directly from the Spring Shell project) by yours truly. Topics include: TAB completion Keyboard shortcuts Quotes handling in Spring Shell Quotes handling in Data Flow DSL Links The reference documentation section mentioned in the video can be found here, while reference on the general Data Flow DSL is here. Stay…

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…

We are pleased to announce the general availability of Spring Cloud Data Flow for Cloud Foundry version 1.1.0.RELEASE. In addition to all the bells and whistles of Spring Cloud Data Flow 1.1.2 that this release builds upon, the Cloud Foundry specifics include: Memory Optimizations: After much troubleshooting, we are pleased to deliver a memory efficient SCDF server in this release. With the changes now, regardless of how many stream/task deployments and concurrency, we have observed the memory usage of the server stay within the 200MB range as opposed to 1G or over to an eventual crash in…

Spring Cloud Data Flow for Cloud Foundry gets two new releases today, detailed below: 1.0.1.GA is a maintenance release that Builds upon 2.0.1.RELEASE of Cloud Foundry’s Java Client and 3.0.2.RELEASE of Reactor Builds upon 1.0.1.RELEASE of Spring Cloud Data Flow core Gets general clarifications and improvements in the reference documentation Fixes a bug pertaining to multiple ORG + Space combination causing task launch failures Fixes a bug where environment variables were not propagated correctly when launching a task 1.1.0.M1 is the first milestone in the new line of development. In addition…

We are pleased to announce the general availability of Spring Cloud Data Flow for Cloud Foundry version 1.0.0.RELEASE. Spring Cloud Data Flow for Cloud Foundry provides support for orchestrating long-running (streaming) and short-lived (task/batch) data microservices on Cloud Foundry runtime. As the successor to Spring XD, this project benefits from a much more decoupled architecture, leveraging the Spring Cloud Deployer for Cloud Foundry library, which also goes GA today. More details about Spring Cloud Data Flow’s architecture and its ecosystem can be found in this blog. Stream and Batch…

We are pleased to announce the 1.0.0.RC1 release of Spring Cloud Data Flow for Cloud Foundry. As we near completion towards a GA release in the upcoming days, this milestone brings the following improvements: Builds upon the 1.0.0.RC1 release of Spring Cloud Deployer Cloud Foundry, which itself builds upon Project Reactor 3.0.0.RELEASE and of CF-Java-Client 2.0.0.RELEASE Adds the ability to orchestrate short-lived tasks including Spring Batch Jobs in Cloud Foundry, which can be enabled as an experimental feature toggle Adds support for command line arguments as a separate set of properties to…

We are pleased to announce the release of Spring Cloud Data Flow’s Cloud Foundry 1.0.0.M4. In this milestone release, we have few improvements to the APIs and the general stability of the overall design constructs. Builds upon 1.0.0.RELEASE of Spring Cloud Data Flow Core (shell, UI, REST-APIs, etc.) Streamlines application vs. deployment property semantics Adds a migration guide and other documentation fragments to the reference documentation Adds a project site Journey Ahead We are looking forward to Reactor and Cloud Foundry Java Client’s RC and GA releases and by this month, we shall…

I am pleased to announce the 1.0.0.M3 release of Spring Cloud Data Flow for Cloud Foundry, a team effort that encompasses many new features under the hood: This third milestone builds upon the recent RC1 release of Spring Cloud Data Flow and also adds Cloud Foundry specific refinements. Some highlights include: Alignment with Cloud Foundry’s global environment properties such as ORG, API, and URL as opposed to previous naming variants Adds security integration to authenticate against OAUTH backend server that’s compatible with Cloud Foundry Publishes security configurations for easier…

On behalf of the Spring Cloud Data Flow team, I am pleased to announce the 1.0.0.M2 release of Spring Cloud Data Flow for Cloud Foundry. Spring Cloud Data Flow for Cloud Foundry allows one to use all the goodness of Spring Cloud Data Flow (like the Shell, UI and Flo) while targeting Cloud Foundry as a backend. Stream components are deployed as individual apps in Cloud Foundry, leveraging the power of the platform to handle scaling and health monitoring. This second milestone builds upon the 1.0.0.M1 release of Cloud Foundry implementation of spring-cloud-deployer builds upon the 1.0.0.M…