The Spring Blog

Engineering
Releases
News and Events

Notes on Reactive Programming Part III: A Simple HTTP Server Application

In this article we continue the series on Reactive Programming, and the focus is less on learning the basic APIs and more on more concrete use cases and writing code that actually does something useful. We will see how Reactive is a useful abstraction for concurrent programming, but also that it has some very low level features that we should learn to treat with respect and caution. If we start to use these features to their full potential we can take control of layers in our application that previously were invisible, hidden by containers, platforms and frameworks.

Read more...

This Week in Spring - July 19th, 2016

Welcome to another installment of This Week in Spring! This week I am in Cincinnati and Columbus, Ohio, and Los Angeles and San Francisco, California talking to customers and doing meetups.

This is my favorite time of year! As we lead to SpringOne Platform, there’s so much good stuff being released that one can hardly keep up! I am really looking forward to this year’s SpringOne Platform show, coming in early August. It’s an amazing time to build applications, and SpringOne Platform is in a unique position to capture the larger discussion: why do we #devops, #cloud, #agile, or #microservice? Join the discussion August 1-4, 2016 in beautiful Las Vegas and let’s find out!

Read more...

Spring AMQP 1.6.1 available now

It is my pleasure to announce that the Spring AMQP 1.6.1 maintenance release is available now.

As usual, thanks to the community for any feedback and contribution all the ways!

This release contains several critical bug fixes, therefore an upgrade is highly recommended.

We haven’t switched master branch to 2.0 yet, but that is really our intention in the nearest future to start enjoying a new Spring 5.0 and Java 8 foundation for Spring AMQP project code base!

Read more...

Spring for Apache Kafka 1.0.2 available now

It is my pleasure to announce that the Spring for Apache Kafka 1.0.2 maintenance release is available now.

As usual, thanks to the community for any feedback and contribution all the ways!

This release contains several critical bug fixes, therefore an upgrade is highly recommended. The master branch has now switched to 1.1 and we are starting migrating to Kafka 0.10 and other features on the matter with possible Milestone 1 later this month.

For more details about Spring for Apache Kafka , check Gary Russell’s session at SpringOne Platform, which is taking place in Las Vegas between August 1-4 this year. There are many other great talks so check the agenda and get your ticket if you haven’t done so already.

Read more...

This Week in Spring - July 12th, 2016

Welcome to another installment of This Week in Spring! This week I’m in Dublin, Ireland and London, UK, and Boston, Massachusetts, giving open workshops at Pivotal Dublin and London and speaking to local customers. It’s been a fun week and there’s a lot to cover! So, let’s get to it!

This is my favorite time of year! As we lead to SpringOne Platform, there’s so much good stuff being released that one can hardly keep up! I am really looking forward to this year’s SpringOne Platform show, coming in early August. It’s an amazing time to build applications, and SpringOne Platform is in a unique position to capture the larger discussion: why do we #devops, #cloud, #agile, or #microservice? Join the discussion August 1-4, 2016 in beautiful Las Vegas and let’s find out!

Read more...

Spring Cloud Data Flow for Apache YARN 1.0.0 released

We are pleased to announce the release of Spring Cloud Data Flow for Apache YARN 1.0.0.RELEASE.

Spring Cloud Data Flow for Apache YARN provides support for orchestrating long-running (streaming) and short-lived (task/batch) data microservices on Apache YARN.

This project was originally conceptualized with the goal to supplement the existing Spring XD users who have investments running streaming and batch data pipelines in a more traditional bare-metal setup. We wanted to provide migration path to help port over their existing investments and the tools and techniques to reap the benefits of microservices style architecture.

Read more...

Spring Cloud Data Flow 1.0 GA released

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 applications so you can get started right away to develop solutions for use-cases such as data ingestion, real-time analytics and data import/export.

Read more...

Spring Cloud Data Flow for Cloud Foundry 1.0.0.M4 now available

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.

Journey Ahead

  • We are looking forward to Reactor and Cloud Foundry Java Client’s RC and GA releases and by this month, we shall release 1.0.0.RELEASE of Spring Cloud Data Flow for Cloud Foundry.

  • We have exciting work-in-progress to orchestrate short-lived microservices through TaskLauncher constructs in the Spring Cloud Deployer for Cloud Foundry project. We are hopeful to deliver the BETA release of this functionality alongside the upcoming Pivotal Cloud Foundry’s 1.7.x release.

Read more...

Spring Cloud Data Flow for Kubernetes 1.0 GA released

We are pleased to announce the release of Spring Cloud Data Flow’s Kubernetes 1.0.0.RELEASE.

Spring Cloud Data Flow for Kubernetes provides support for orchestrating long-running (streaming) and short-lived (task/batch) data microservices on Kubernetes.

This project was originally conceptualized by the community and we are thankful to Florian Rosenberg for his early contributions that eventually made it into the official Spring Cloud Deployer for Kubernetes project. Building upon this theme, we recently bumped into Donovan Muller’s blog, where he walks through his experience extending the Spring Cloud Deployer project for OpenShift, paving the path for Spring Cloud Data Flow to orchestrate data microservices on OpenShift.

Read more...