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Spring Team at Devoxx US 2017

Join the Spring Team at the 1st ever Devoxx event in the United States on March 21-23, 2017!
Pivotal is sponsoring and will be at booth # 104 from 10am-8pm on Tuesday March 21st, and 9:45am - 4:30pm on Wednesday March 22rd.

We will have experts available to talk to you about Spring Boot, Spring Cloud, Spring Cloud Data Flow, Cloud Foundry, and much more. Stop by and learn about Cloud Native Java from the leaders at Pivotal.

Don’t miss talks from Spring leaders on Cloud-Native, Reactive Spring, Eclipse and Big Data!

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Spring Integration 4.3.7 is Available

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 for details to see if you are affected

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Dependency Management Plugin 1.0.0.RELEASE

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.

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This Week in Spring - January 24th, 2017

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!

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SpringOne Platform 2016 Replay: Putting a SpEL on Spinnaker: Evolving an Expression Language for Continuous Delivery

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 conditional evaluation. This session will walk through the evolution of Spinnaker’s use of SpEL over two years of active development. We will share the code, features and wisdom gained from helping the Netflix and open source community adopt SpEL. You should attend if you are interested in the Spinnaker platform and the continuous delivery pipelines feature, or wish to learn how to fully harness SpEL for your own tools.

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SpringOne Platform 2016 Replay: Implementing Config Server and extending it

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).

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SpringOne Platform 2016 Replay: An Introduction to Distributed Tracing and Zipkin

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 using docker. While we’re at it, we’ll discuss how the model works, and how to safely trace production. Finally, we’ll overview the ecosystem, including tools to trace ruby, c#, java and spring boot apps.

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SpringOne Platform 2016 Replay: Implementing Microservices tracing with Spring Cloud and Zipkin

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, a couple of lines of configuration and you’re ready to go.

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