It's my pleasure to announce that Spring IO Platform Brussels-RELEASE is available now from the Spring release repository and Maven Central.

The Brussels release introduces the following projects to the Platform:

• Spring Kafka 1.1

The Brussels release also upgrades the versions of a number of projects:

• Spring AMQP 1.7
• Spring Boot 1.5
• Spring Data Ingalls
• Spring Integration Java DSL 1.2
• Spring Integration Kafka 2.1
• Spring LDAP 2.3
• Spring Security 4.2
• Spring Session 1.3
• Spring Web Services 2.4

The versions of numerous third-party dependencies have also been updated.

Project Page | GitHub | Issues | …

On behalf of the team, I am excited to announce the release of the first milestone of Spring Cloud Data Flow 1.2.

Note: A great way to start using this new release(s) is to follow the release matrix on the project page, which includes the download coordinates and the links to the reference guide.

Over the last few weeks, we have added new features and improvements to the overall orchestration of data microservices. The following new features were included in the 1.2.0.M1 release:

Core

• Introduce dedicated prefixes for deployment properties. Using the deployer properties is as simple as deployer.<appname>.xxx as opposed to app.<appname>.spring.cloud.deployer.xxx
• Introduce a new REST-API controller and shell support to cleanup Task Executions
• Foundation work to consolidate the use of controllers between Task deployments and Task Executions
• Consolidate REST-API call traces and return codes for consistency
• Adds role-based access control to define who has access to create, deploy, destroy, or view streams/tasks. This works seamlessly in coordination with the supported authentication methods…

Speaker: Josh Long

Hi Spring fans! In this tip, we'll look at jOOQ (a fluent API for typesafe SQL query construction and execution) to quickly and easily interface with our SQL database.

Welcome to another installment of This Week in Spring! It's Valentines Day for some, and so happy Valentines day to you! This week I'm in Memphis, Tennessee for business and then it's off to Saint Louis where I'll be presenting on Reactive Spring with my buddy Mark Heckler (join us!), then it's off to Atlanta, Georgia, ahead of next week's big DevNexus show. Check out what Pivotal is up to at the event!

As usual, we've got a lot to cover so let's get going!

• Last week, in another installment of Spring Tips, I looked at distributed tracing with Spring Cloud Sleuth and Zipkin
• Spring Cloud Task lead Michael Minella has just announced that Spring Cloud Task 1.2.0.M1
• Marcin Grzejszczak has just announced Spring Cloud Pipelines 1.0.0.M3 with complete support for blue-green deployment on Cloud Foundry
• check out this SpringOne platform 2016 talk on Spring Data Hazelcast repositories
• there's a good article on the Spring Boot Actuator support on Pivotal Web Services
• this S1P talk on streaming live data in the Hadoop ecosystem looks interesting
• Oleg Zhurakousky gives a nice look at using Apache NiFi with Spring…

Recorded at SpringOne Platform 2016. Speaker: Victor Gamov, Neil Stevenson, Hazelcast Slides: http://www.slideshare.net/SpringCentral/spring-data-hazelcast-fluently-accessing-distributed-repositories

The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use data access technologies.

In this talk, Neil and Viktor will present using a new Spring Data for Hazelcast project and demonstrate how using the Spring Data paradigm gains the power of a distributed data repository.

The implementation is built on the new Spring Data KeyValue module and…

Recorded at SpringOne Platform 2016. Slides: http://www.slideshare.net/SpringCentral/streaming-live-data-and-the-hadoop-ecosystem

It’s not always easy to get the data you need for analysis. And it becomes even more challenging if it is live streaming data you are working with. Learn how you can make Hadoop work for you in the most effective way possible, especially when it comes to adapting to the agile business requirements of today’s competitive environment. We will cover the Hadoop ecosystem – what is Hadoop, HDFS, MapReduce, Yarn, and then how leading open source projects such as Hive…

Recorded at SpringOne Platform 2016. Speaker: Oleg Zhurakousky Slides: http://www.slideshare.net/SpringCentral/spring-with-apachenifi

Spring Integration has long captured the hearts and minds of the developers world wide for its emphasis on simplicity, modularity and productivity when it comes to all things related to work-flow orchestration and complex event processing and is successfully used in a variety of Big Data solutions. Apache NiFi, on the other hand, is a new addition to the already rich Big Data technology stack.

Can the two complement one another?

This hands-on talk, based on…

Recorded at SpringOne Platform 2016. Speaker: Andreas Evers, Ordina JWorks Slides: http://www.slideshare.net/SpringCentral/writing-comprehensive-and-guaranteed-uptodate-rest-api-documentation

RESTful APIs are eating the world, yet all too often the documentation can cause indigestion for the APIs' developers and their users. Developers have to deal with annotation overload, repetition, and an unpleasant writing environment. Users are then left with documentation that's inaccurate and difficult to use. It doesn't have to be this way.

This talk will introduce Spring REST Docs and its test…

Recorded at SpringOne Platform 2016. Speaker: Christian Posta, Redhat Slides: http://www.slideshare.net/SpringCentral/real-world-microservices-with-spring-cloud-netflix-oss-and-kubernetes

Building distributed systems - whether we call them SOA or microservices - is not easy. Open source communities like Spring, NetflixOSS and Kubernetes bring decades of experience building these systems, but the question always begs to be asked "do we implement these patterns in the application layer or in the infrastructure layer"?

This is a Java developer-oriented presentation showing developers how to…