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…

On behalf of the team, I am pleased to announce the GA release of Spring Cloud Data Flow 1.1. Follow the links in the getting started guide to download the local server implementation and shell to create Stream and Tasks.

General highlights of the 1.1 GA Release include:

• Builds upon Spring Boot 1.4, Spring Cloud Camden SR2, Spring Integration 4.3 and Spring Cloud Task 1.1 release improvements.

• Adds LDAP, Basic and File based backend authentication

• Improvements to OAUTH backed authentication

• LDAP authentication is now supported with SSL

• Adds a form-based login page for non-OAUTH backend authentication methods such as the LDAP, Basic and File-based options

• Adds the ability to pass application specific properties via YAML file. This is particularly useful when deploying streams that require many deployment properties to be set.

• Portable deployment properties for memory, disk and cpu are in place for support across various runtime implementations.

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On behalf of the team, I am pleased to announce the first release candidate of Spring Cloud Data Flow 1.1. Follow the links in the getting started guide to download the local server implementation and shell to create Stream and Tasks.

The 1.1 RC1 release includes the following new features and improvements:

• Builds upon Camden.SR2 release improvements

• LDAP authentication is now supported with SSL

• Portable deployment properties for memory and cpu are in place for support across various runtime implementations

• Passing Java Options to the local JVM when launching application is now supported

• UI Improvements

  • List pages now support sorting

  • Server-side search support for stream and task list pages

  • Content-assist for bulk task definitions including the support for incremental validations of task application properties

• Add content assist support for tasks in the shell

• Thanks to the community for adding DB2 support for the TaskRepository

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On behalf of the team, I am pleased to announce the release of the second milestone of Spring Cloud Data Flow 1.1. You can download the local server that is part of this release here.

The 1.1 M2 release includes the following new features and improvements:

• Builds upon Boot 1.4.1 and Spring Cloud Camden improvements

• Task application properties can now be referenced using non-prefixed property names

• Add visual representation for related streams. This representation also includes nested TAPs and the downstream processing nodes in an overall topology view.

• The UI adds bulk import support for Task definitions. This allows importing task definitions from a file or the ability to add multiple task-definitions using the Flo-editor

• The flo-editor embeds CodeMirror for incremental DSL syntax validation and error reporting. There’s also a toggle on/off button to enable and disable incremental validations.

• Adds a form-based login page for non-OAUTH backend authentication methods such as the LDAP, Basic and File-based options.

• Adds the ability to pass application specific properties via YAML file. This is particularly useful when deploying streams with that set many deployment properties.

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On behalf of the team, I’m excited to announce the 1.0 GA release of Spring Cloud Data Flow!

Note

A great way to start using this new release is to follow the Getting Started section of the reference documentation. It uses a Data Flow server that runs on your computer and deploys a new process for each application.

Spring Cloud Data Flow (SCDF) is an orchestration service for data microservices on modern runtimes. SCDF lets you describe data pipelines that can either be composed of long lived streaming applications or short lived task applications and then deploys these to platform runtimes that you may already be using today, such as Cloud Foundry, Apache YARN, Apache Mesos, and Kubernetes. We provide a wide range of stream and task…

On behalf of the team I am pleased to announce the release of Spring Cloud Data Flow 1.0 RC1.

Several exciting new features have been added in this release which carry over to the other Data Flow Server implementations that were also released today.

Data Flow Local Server

Data Flow for Cloud Foundry

Data Flow for Apache YARN

Data Flow for Kubernetes

Data Flow for Apache Mesos

Follow the links above for details on features unique to each individual runtime platform. The highlights of the release are:

• Spring Flo is now an open source project and has been integrated into the Spring Cloud Data Flow dashboard allowing you to visually design data pipelines in your browser.
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Today we are pleased to announce the general availability of Spring XD 1.3.1 and Flo for Spring XD 1.0.1

• Spring XD 1.3.1 GA: zip, brew and rpm.
• Flo for Spring XD 1.0.1 GA: zip.

Here are some highlights of bug fixes and general improvements. Consult the JIRA release notes for the full list of issues fixed.

• Support for encryption in XD configuration files
• Support for Kafka sync or async producers
• Fix for Embedded Headers Message Converter Buffer Overflow
• Update default redis pool settings to have no limit on number of active connections
• Upgrade to Spring Integration 4.2.5, Spring Framework 4.2.5, Spring AMQP 3.6
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On behalf of the team, I am pleased to announce several releases in the Spring Cloud Stream and Spring Cloud Data Flow family of projects.

Spring Cloud Stream 1.0 M3 introduces the following features

• Many improvements in middleware binding. In particular for supporting multiple binders, so you can now have RabbitMQ as an input and Kafka be the output, for example.
• Partitioning improvements

Spring Cloud Stream Modules 1.0 M2 adds many new modules with updated documentation.

• Sources: File, Load Generator, sftp, and tcp
• Processors: httpclient, PMML, and Splitter
• Sinks: Cassandra, Field Value Counter, file, ftp, gemfire, HDFS Dataset, JDBC, tcp, throughput, and websocket
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Today we are pleased to announce the general availability of Spring XD 1.3 and Flo for Spring XD 1.0.

• Spring XD 1.3 GA: zip, brew and rpm.
• Flo for Spring XD 1.0 GA: zip.

In addition to bug fixes we have also added several new features in the 1.3 release line

• Job Composition DSL allows for the creation of a complex graph of job executions.
• Flo for Spring XD designer supports creating composed jobs.
• Admin UI supports execution history of composed jobs.
• Cassandra Sink and Header Enricher Processor
• Gpfdist sink now supports update operations and full range of control file options
• Spark 1.3.1 Support
• A timeout value for flushing writes to HDFS in order to ensure data is persisted on the HDFS DataNode’s disks.
• General dependency upgrades, Spring Data Gosling, SI 4.2, and Boot 1.2
• …

On behalf of the Spring XD team, I am very pleased to announce the first release candidate of Spring XD 1.3 is now available for download. You can also install using brew and rpm.

This release includes some major new functionality for batch jobs. We have introduced the ability to create composed jobs that allows you to create a complex graph of jobs executed based on a new Job DSL. Flo for Spring XD UI has been updated to support the new Job DSL and provide a visual drag and drop canvas for creating composed jobs. Spring XD’s job execution UI also supports execution history of composed…