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This Week in Spring - November 29th, 2016

Welcome to another installment of This Week in Spring! I can’t believe how quickly this year has gone! This week I’m in Melbourne, Australia for the YOW! conference and then week it’s off to Brisbane and then Sydney for the next editions of the same show. Australia is the furthest I’ve ever been from my ‘native’ timezone - so even though I always post This Week in Spring every Tuesday, I appreciate that it’s still Monday for anybody west of Europe right now! Tonight, I’ll join my pal, Intellij’s Trisha Gee, and we’ll be speaking at the Melbourne JVM User Group. I’m super excited to be here, for my first time, helping bring the Spring down under. If you’re around then say hi (@starbuxman)!

Huge release week for the Spring Cloud Dataflow team!
* Spring Cloud Data Flow lead Dr. Mark Pollack just announced Spring Cloud Data Flow 1.1.GA
* Spring Cloud Task lead Michael Minella just announced Spring Cloud Task 1.1.0 with updated error handling, improvements to partitioned Spring Batch Jobs, external exection ID persistence, additional databases support and so much more.
* Spring Cloud Data Flow ninja Thomas Risberg just announced Spring Cloud Data Flow for Kubernetes 1.1.RC1 which improves support for running batch and stream processing while deploying to Kubernetes as a service fabric.
* Spring Cloud Data Flow ninja Janne Valkealahti just announced Spring Cloud Data Flow for Apache YARN 1.1.0 RC1

A Reactive Week
* Spring Data ninja Mark Paluch just published a super cool look at some of the upcoming support for reactive programming in Spring Data going well beyond some of the limited support for asynchronous types already in Spring Data. I personally can’t wait to see MongoDB fly with @EnableReactiveMongoRepositories!
* Spring Data lead Oliver Gierke just annonced the first milestone of Spring Data Kay, which is more than just a new release: it updates the baseline revision to Java 8, includes support for reactive programming in Spring Data MongoDB, Cassandra, and Redis, and so much more

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