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.M3 release of Spring Cloud Data Flow
• builds upon the 2.0.0.M4 release of the Cloud Foundry java client, leveraging its reactive programming style
…

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 Apache YARN.

Spring Cloud Data Flow for Apache YARN allows one to use all the goodness of Spring Cloud Data Flow (like the Shell, UI and Flo) 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 second milestone

• builds upon the 1.0.0.M1 release of Spring Cloud YARN Deployer.
• builds upon the 1.0.0.M3 release of Spring Cloud Data Flow.
• Adds Spring Cloud Task support to orchestrate short-lived tasks including Spring Batch jobs in a YARN cluster.
• Improved IP address discovery for internal coordination.
• Adds support to host, resolve and register OOTB apps from HDFS.
• Adds installable RPM bits.
• Adds Ambari plugin to provision SCDF on YARN.
…

We are pleased to announce the release of Spring Cloud Task 1.0.0.M2. This is the second milestone of the Spring Cloud Task project with some exciting new features!

What's New?

With the M1 release of Spring Cloud Task, we introduced the concept of a task, the @EnableTask annotation, and the general concept of a microservice that has an end. We've been quite busy since then. Some of the highlights of what is new include:

• Spring Cloud Task Listeners
• Integration with Spring Cloud Stream
• Integration with Spring Batch
• More samples

Let's take a look at what each of these include.

Spring Cloud…

On behalf of the team, I am pleased to announce the 1.0.0.M3 release of Spring Cloud Data Flow.

Over the last few months, we have added exciting new features and improvements to the overall orchestration of data microservices on a variety of platforms. We have also made some changes that significantly benefit developers, such as exposing Spring Boot Starters for all of the stream and task applications we publish. Following are some of the highlights from this release:

For the complete list of features, bug-fixes, and improvements, please refer to the closed 1.0.0.M3 GitHub…

On behalf of the team, I am pleased to announce 1.0.0.M2 releases of Spring Cloud Data Flow for Apache Mesos and Spring Cloud Data Flow for Kubernetes.

Spring Cloud Data Flow for Apache Mesos allows one to use all the goodness of Spring Cloud Data Flow (like the Shell, UI and Flo) while targeting Apache Mesos as a backend. Stream components are deployed as individual apps using Marathon, leveraging the power of the platform to handle scaling and health monitoring.

This second milestone

• Builds upon 1.0.0.M1 release of the Spring Cloud Deployer Mesos/Marathon implementation
• Builds upon 1.0.0.M3 release of Spring Cloud Data Flow
• Replaces spring-cloud-marathon-connector with environment variables for service connection parameters. We will improve the service discovery in future release and tie in to Mesos/Marathon’s native service discovery mechanism for runtime credentials
• Adds support to resolve, register, and run OOTB and custom apps as docker images
…

On behalf of the community, I'm pleased to announce the release of Spring Session 1.2.0.RC3. The release can be found in the Spring Milestone Repository (https://repo.spring.io/milestone/).

This release contains some fixes for the previous release.

Some highlights of the issues in this release include:

• JDBC Support persists session attributes on a separate table. This was in response to the community feedback (thanks!)
• Redis Session optimization
• Preparations for improved Spring Boot auto configuration
• Updated to Spring Data Hopper

See What's New in 1.2 for more details.

Our Community Support

Following 1.1.0.M1, it's my pleasure to announce that Spring REST Docs 1.1.0.RC1 has been released and is available from https://repo.spring.io/milestone/.

What's new?

HTTPie request snippet

A new HTTPie request snippet has been introduced. Similar to the existing curl request snippet, the new snippet contains the HTTPie command for a request. My thanks to Raman Gupta who contributed this new feature.

Reusable snippets

Snippets can now be created once with some common configuration and then reused. This reduces repetition when documenting common parts on an API, such as self links.

Relaxed…

Speaker: Michael Minella, Pivotal

One of the major promises of the cloud is that of flexibility. Today, most applications deployed to the cloud are long running processes that use the flexibility of cloud scaling. But computing is full of short lived tasks that start up, do their work, and then terminate. These tasks are excellent cloud use cases since resources can quickly be provisioned - and reclaimed.

In this webinar, we'll explore a new project in the Spring Cloud portfolio, Spring Cloud Task, a new framework for developing and orchestrating short-lived microservices. We'll explore…

Speakers: Mark Fisher & Mark Pollack, Pivotal The future of scalable data processing is microservices! Building on the ease of development and deployment provided by Spring Boot and the cloud native capabilities of Spring Cloud, the Spring Cloud Stream and Spring Cloud Task projects provide a simple and powerful framework for microservice stream and batch processing. At a higher level of abstraction, Spring Cloud Data Flow is an integrated orchestration layer that provides a highly productive experience for deploying and managing sophisticated data pipelines consisting of standalone…