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Spring Cloud Data Flow 1.5 M1 released

The Spring Cloud Data Flow team is pleased to announce the release of 1.5.0 M1. Follow the Getting Started guides for Local Server, Cloud Foundry, and Kubernetes.

Here are the highlights:

  • UI Improvements

  • Spring Boot & Spring Cloud Stream 2.0 Support

  • Nested splits for Composed Tasks

  • Metrics Collector 2.0 M1

  • Stream Application Starters Darwin M1 release train

  • Support for deploying to multiple Kubernetes clusters

UI Improvements

We have continued to improve the UI/UX of the Dashboard. You will immediately notice an overall lighter weight design. The Tasks tab has been rewritten to match the UX styling of the other tabs. The stream-builder view includes many optimizations ranging from better form validation and eager error reporting. Try it out!

There has also been a significant amount of refactoring to optimize the codebase and prepare for future extensions and feature additions.

Read more...

Kafka Streams and Spring Cloud Stream

On the heels of the recently announced Spring Cloud Stream Elmhurst.RELEASE, we are pleased to present another blog installment dedicated to Spring Cloud Stream’s native integration with the Apache Kafka Streams library. Let’s review the new improvements.

MessageChannel Binders

Spring Cloud Stream framework enables application developers to write event-driven applications that use the strong foundations of Spring Boot and Spring Integration. The underpinning of all these is the binder implementation, which is responsible for communication between the application and the message broker. These binders are MessageChannel-based implementations.

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New in Spring Data Lovelace M2 - Get ready for MongoDB 3.6 and 4.0.

With the latest Spring Data Lovelace Milestone 2 release, the MongoDB module is stacking up new features that are coming your way in the near future. As you might have followed in the news, MongoDB 4 is going to bring ACID transactions to the Document store. The latest MongoDB 3.6 server release already ships with the main building block for those, client sessions.

You can read all about isolation levels and causal consistency in the MongoDB reference. In short, sessions let you execute operations in an order that respects their causal relationships.

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Spring Tips: Redis

speaker: Josh Long

Hi Spring fans! In this installment we look at the many facets of Redis, the distributed data structure server. Spring supports Redis through the Spring Cache abstraction, Spring Session, the Spring message-listener container abstraction, and through the Spring Data Redis module.

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This Week in Spring - April 17th, 2018

Hi Spring fans! Welcome to another installment of This Week in Spring! This week I’m in Paris, France and I’ll be in Mainz, Germany, next week for JAX and Linz, Austria for the DevOne event. If you’re in any of these places then don’t hesitate to reach out!

We’ve got so much to cover so let’s get to it!

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Spring Integration for AWS 2.0.0.M2 and Spring Cloud Stream Kinesis Binder 1.0.0.M2

Dear Spring Community!

It’s my pleasure to announce Milestone releases for Spring projects supporting Amazon Web Services: Spring Integration for AWS 2.0.0.M2 and Spring Cloud Stream Binder for AWS Kinesis 1.0.0.M2.

Both milestones are available in the Spring Milestone repository and they can be consumed as maven dependencies:

<dependency>
    <groupId>org.springframework.integration</groupId>
    <artifactId>spring-integration-aws</artifactId>
    <version>2.0.0.M2</version>
</dependency>

<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-stream-binder-kinesis</artifactId>
    <version>1.0.0.M2</version>
</dependency>
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Spring Cloud Task 2.0.0.RC1 is now available

We are pleased to announce that Spring Cloud Task 2.0.0.RC1 is now available on Github and the Pivotal download repository. Many thanks to all of those who contributed to this release.

What’s New?

This release includes upgrades to existing dependencies as well as some nice new features. Let’s take a look at what’s new in this release.

Compatibility with Spring Cloud Stream 2.0

Spring Cloud Stream 2.0 was released a few days ago and provides a collection of impressive enhancements. Spring Cloud Task is updated and supports Spring Cloud Stream 2.0

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What's new in Spring Cloud GCP 1.0.0 Milestone 3

Dear Spring Community!

The Spring Cloud GCP is a set of Spring Boot starters that is designed to help you leverage Google Cloud Platform managed services directly from Spring Boot, allowing you to use Spring Messaging for Cloud Pub/Sub, Spring Resource for Cloud Storage, Spring Cloud Sleuth for Stackdriver Trace, Spring Data with Cloud SQL, and more.

We’ve just released Spring Cloud GCP 1.0.0.M3. Check out what’s new since the previous Milestone 2!

Spring Boot 2.0 GA Support

Spring Cloud GCP 1.0.0.M3 is now up to date to work with Spring Boot 2.0.1.RELEASE and Spring Cloud Finchley.M9.

To use Spring Cloud GCP 1.0.0.M3, simply import the BOM in your Spring Boot 2.0 project:

<dependencyManagement>
    <dependencies>
        <dependency>
            <groupId>org.springframework.cloud</groupId>
            <artifactId>spring-cloud-gcp-dependencies</artifactId>
            <version>1.0.0.M3</version>
            <type>pom</type>
            <scope>import</scope>
        </dependency>
    </dependencies>
</dependencyManagement>
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Spring Tool Suite 3.9.4 released

Dear Spring Community,

I am happy to announce the 3.9.4 release of the Spring Tool Suite, our Eclipse-based tooling.

Highlights from this release include:

  • updated to Eclipse Oxygen.3a release, including support for JDK 10
  • Pivotal tc Server updated to 4.0.0

To download the distributions, please go visit:

Detailed new and noteworthy notes can be found here: STS 3.9.4 New & Noteworthy.

STS 3.9.5 is scheduled to be released on top of Eclipse Photon (4.8.0) in late June 2018.

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Spring Data Lovelace M2 released

On behalf of the Spring Data team, I’d like to announce the availability of the second milestone of the Lovelace release train.

This release ships with updates for all store modules that contain new features, improvements, and bug fixes. Notable changes include:

  • MongoDB 3.6 support for Change Streams, $jsonSchema, and Client Sessions (in preparation for MongoDB Transactions).
  • Apache Cassandra mapping improvements for Map and Tuple Types, along with newly introduced Lifecycle Callbacks.
  • Upgrade to Apache Solr 7.
  • Improved Connection Handling for reactive Redis and static Master/Slave use.
  • SCAN support for Redis Cluster.
  • List support for Spring Data JDBC.
  • Composable repositories support via CDI.
Read more...