On behalf of the Spring Integration team, I am pleased to announce that the 4.3.7.RELEASE of Spring Integration is now available.

This release contains a few important bug fixes as well as a couple of improvements.

In particular, this version uses the recently announced Spring Framework 4.3.6.

Please be aware that some performance issues were detected when using Spring Integration with Spring Framework versions 4.3.4 and 4.3.5. We recommend that all users upgrade to this version, but this could be particularly important for users of Spring Integration versions 4.3.5 and 4.3.6, which used those versions of Spring Framework respectively. See this issue…

On behalf of the team, I am happy to announce that Spring Framework 4.3.6 is available now.

This maintenance release is the base for the upcoming Spring Boot 1.4.4 and 1.5.0 releases and includes over 60 fixes and selected improvements.

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It's my pleasure to announce that 1.0.0.RELEASE of the Dependency Management Plugin has been released. It's available from Gradle's Plugin Portal as well as Maven Central and Bintray. Thank you to everyone who tried out the release candidates.

What's new?

To learn about what's new in 1.0, please read the post announcing 1.0.0.RC1.

Thank you

Thank you for all of the feedback and suggestions that you have contributed to the plugin thus far. Please let us know on GitHub or Gitter about any problems you find or improvements that you'd like to see.

Welcome to another installment of This Week in Spring! As usual, we've got a lot to cover so let's get to it: we've got an fresh batch of both new Spring Cloud software from the team and microservice themed S1P 2016 replays from Pieter Humphrey this week, so fasten your seat belt!

• Spring Cloud Data Flow product manager Sabby Anandan put together a great post on the Spring Cloud Data Flow 1.1 release
• Spring Cloud Data Flow for Cloud Foundry lead Eric Bottard just announced the latest release supporting memory optimizations, Maven cache and disk optimizations, improved error handling, and task support.
• Spring Cloud Stream lead Marius Bogoevici just announced Spring Cloud Stream Brooklyn.SR2 and Chelsea.M1
• Spring Integration Java DSL lead and all around great guy Artem Bilan just announced
…

Recorded at SpringOne Platform 2016. Speaker: Tomas Lin, Netflix Slides: http://www.slideshare.net/SpringCentral/putting-a-spel-on-spinnaker-evolving-an-expression-language-for-continuous-delivery-at-netflix

Spinnaker is an open source, multi-cloud continuous delivery platform. It is used by over 90% of cloud deployments at Netflix. The Spring Expression Language (SpEL) is heavily leveraged to fully articulate and extend Spinnaker’s automated deployment pipelines. SpEL is used heavily to interact with pipeline stages and triggers for variable substitution, information retrieval and…

Recorded at SpringOne Platform 2016. Speaker: Clint Checketts, Domo.com Slides: http://www.slideshare.net/SpringCentral/implementing-config-server-and-extending-it

Spring Cloud Config Server is a great tool for getting your application configuration under source control. We'll start with the quick overview of Spring's Environment and properties and how config server enhances those, while keeping the same model.

Next we'll discuss what concerns you need to take into account when rolling out config server like security, encryption, and location of your repositories (if using Git).

Finally we…

Recorded at SpringOne Platform 2016. Slides: http://www.slideshare.net/SpringCentral/how-to-properly-blame-things-for-causing-latency

Latency analysis is the act of blaming components for causing user perceptible delay. In today's world of microservices, this can be tricky as requests can fan out across polyglot components and even data-centers. In many cases, the root source of latency isn't a component, but rather a link between components.

This session will overview how to debug latency problems, using call graphs created by Zipkin. We'll use trace zipkin itself, setting up from scratch…

Recorded at SpringOne Platform 2016. Speakers: Marcin Grzejszczak, Reshmi Krishna Slides: http://www.slideshare.net/SpringCentral/implementing-microservices-tracing-with-spring-cloud-and-zipkin

2015 was the year of microservices. It’s already common knowledge that creating distributed systems is not easy. It’s 2016 and it’s time to show how that complexity can be contained.

Service Discovery and Registry (Zookeeper / Consul / Eureka), easy request sending with client side load balancing (Feign + Ribbon), request proxying with Zuul. Everything is easy with Spring Cloud. Just add a dependency…

Recorded at SpringOne Platform 2016. Speaker: Agim Emruli Slides: http://www.slideshare.net/SpringCentral/spring-cloud-on-aws

Spring Cloud allows to implement cloud native application across different cloud platforms. Spring Cloud has also a dedicated support for running applications on the Amazon Web Service platform. This talk will introduce common patterns and best-practices to run the application the AWS cloud and how to use the platform provided services efficiently.