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. Speakers: Eric Bottard & Ilayaperumal Gopinathan Slides: http://www.slideshare.net/SpringCentral/orchestrate-all-the-things-with-spring-cloud-data-flow

What do things like Minecraft, a light bulb and your music library have in common? Well, nothing really. Until you come up with this crazy idea to link them together. This is where application orchestration comes in.

In this session, you’ll learn how Spring Cloud Data Flow allows easy composition of microservices together. As the spiritual successor to Spring XD and the natural sidekick of Spring Cloud…

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…

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: 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. 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: 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…

We are pleased to announce that Spring Cloud Task 1.2.0.M1 is now available via Github and the Pivotal download repository. Many thanks to all of those who contributed to this release.

Spring Cloud Task 1.2.0.M1 offers the following features:

This is the first milestone for the 1.2.x line of Spring Cloud Task. Intended to continue the integrations required for Spring Cloud Data Flow, this release provides the following new features:

• Better DataSource integration between task and batch - This release makes configuring the DataSource used by the task/batch integration easier.

• Allows an external process to update the external execution id - Prior to this release, the external execution id (the execution id for the underlying platform) had to be updated by the task itself. In some use cases, this is not possible. This release exposes the ability to update the external execution id outside the scope of the task itself.

• Allow the user to configure a prefix for the task tables - Similar to how Spring Batch allows a user to configure a prefix for the batch repository tables, Spring Cloud Task now exposes the ability to configure a prefix for task repository tables as well.

  …

On behalf of the Spring Cloud team it is my pleasure to announce a new milestone release of Spring Cloud Pipelines - 1.0.0.M3.

What’s new?

Apart from some bug and documentation fixes it’s providing an out of the box support for blue green deployment on Cloud Foundry (both for Concourse and Jenkins)! This is how we do it.

When you click deploy to prod

• we’re renaming the current instance of the app e.g. fooService to fooService-venerable

• we’re deploying the new instance of the app under the fooService name

• now two instances of the same application are running on production

When you click on the Complete switch over…