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…

I am pleased to announce that Spring Integration 4.3.0.M2 is now available from the Spring milestone repository. This release closes about 50 JIRAs and includes almost a 100 commits.

Thanks to everyone who has contributed. Especially to the Spring Cloud Stream team, whose comprehensive Spring Integration usage influences the project direction.

Some key feature since the First Milestone:

• The Spring Integration runtime object model, together with Component Metrics, now can be exposed as a graph, which may be used to visualize the current state of the integration application. When running in a web container, the @EnableIntegrationGraphController annotation, together with an IntegrationGraphServer bean, creates a service to retrieve the model and state over the REST protocol, e.g. in JSON notation:
…

Welcome to another installment of This Week in Spring! This week I'm in Budapest, Hungary, for the amazing Craft Conf. This show is a very special show indeed. Special, for me, first in that I'll be joined by industry titans like Adrian Cochroft, Jez Humble, Sam Newman, and Kyle Kingsbury, and in that I'll join two of my friends from Pivotal - Andrew Clay Shafer and Bridget Kromhout (also titans)! I'm so excited to be among these, and many more, that I can hardly contain it and I recommend you consider making the trip if it's convenient, one day, yourself.

Now then, we've got a lot to get…

We’re pleased to announce a first release candidate of Spring Statemachine 1.1.0.RC1. The release can be found in the Spring Milestone repository https://repo.spring.io/milestone.

What we got into this first release candidate:

• Fixed 20 tickets.
• Usual bug fixes.
• New junction, exit/entry pseudostates.
• New uml modeling support based on Eclipse Papyrus

Full changes as usual is available from changelog.

UML Modeling

One of the most requested features has been to be able to use modeling frameworks to design a statechart instead of using plain good old JavaConfig. Work for this started a while back and first step for this was to use Eclipse Papyrus…