On behalf of the team, I am pleased to announce that Camden Service Release 4 of Spring Cloud is available today. The release can be found in our Spring Release repository and Maven Central.

This release includes primarily bug fixes. Release notes can be found on our wiki.

The following modules were updated as part of Camden.SR4:

• Spring Cloud Commons 1.1.7.RELEASE
• Spring Cloud Netflix 1.2.4.RELEASE
• Spring Cloud Sleuth 1.1.1.RELEASE
• Spring Cloud Contract 1.0.3.RELEASE

And, as always, we welcome feedback: either on GitHub, on Gitter, on Stack Overflow, or on Twitter.

We are pleased to announce that Spring Cloud Task 1.1.2.RELEASE is now available via Github, Pivotal download repository, and Maven Central.

The main driver for this Spring Cloud Task release is to correct an error in the dependencies within the 1.1.1.RELEASE.

What do you think?

We look forward to your feedback on these new features in Github, StackOverflow, or to me directly via Twitter @michaelminella!

Spring Cloud Task Home | Source on GitHub | Reference Documentation

Welcome to another installment of This Week in Spring! This week I'm in San Francisco and New York City talking to developers and toiling on the final edits to the O'Reilly book Cloud Native Java (almost there!). Also, marketing ninja Pieter Humphrey is ramping up the S1P 2016 replays, so fasten your seat belt and check the S1P 2016 YouTube playlist for the most current releases. We've got a lot to cover this week so let's get to it!

• Spring Cloud Task ninja Glen Renfro just announced Spring Cloud Task 1.1.1 with a fast following, bug-fix only, 1.1.2 release.
• our latest and greatest Spring Boot team member Madhura Bhave just announced Spring Boot 1.5.0.RC1
• Spring Integration guru Artem Bilan just announced Spring Integration 5.0.M2
• Spring Batch and Spring Cloud Task lead Michael Minella just announced Spring Batch 4.0 complete with a lot of niceties and - in particular a feature I've wanted forever - an easy way to build instances of the more sophisticated ItemReader and ItemWriter intances, including the FlatFileItemReader…

Recorded at SpringOne Platform 2016. Speaker: Spencer Gibb Slides: http://www.slideshare.net/SpringCentral/spring-cloud-with-consul-and-vault

Historically it is difficult to store and configure secrets within applications. In the new age of microservices, it is also a challenge to register instances for discovery. Fortunately, Consul and Vault make securing secrets a breeze. Consul's Service Registration mechanism makes easy work of service discovery. When combined with Spring Boot's auto configuration we can leverage Consul and Vault by simply updating our classpath.

In this session we will…

Recorded at SpringOne Platform 2016. Speaker: Oliver Gierke Slides: http://www.slideshare.net/SpringCentral/advanced-spring-data-rest

Spring Data REST provides a solid foundation to build domain-driven REST webservices leveraging hypermedia. It takes away the boilerplate part of the development and allows you to concentrate and easily hook code to cover more advanced scenarios, like custom state transitions. The talk is going to look into which means the library provides to easily integrate manually coded REST resources, tweak representations and work with lookup types (database backed value…

Recorded at SpringOne Platform 2016. Speaker: Shin Tanimoto Slides: http://www.slideshare.net/SpringCentral/lets-visualize-your-spring-boot-applications

In the microservice era, working with tens of hundreds of services leads to difficulties getting a grasp of the application health such as error frequency, server resources, response times and throughput. It is said visualization tools can help us command a view of the whole system and detect problems in the early stages or prevent them from occurring, but the important thing is to choose proper tools and create dashboards the right way.

…

Recorded at SpringOne Platform 2016. Speakers: John Blum, Luke Shannon Slides: http://www.slideshare.net/SpringCentral/spring-data-and-inmemory-data-management-in-action-64852094

In this session we will be presenting and coding a live Spring Boot-based application powered by Apache Geode (a.k.a. Pivotal GemFire) running on Cloud Foundry. Attendees will learn in-memory computing and data management concepts including data access and querying using Spring Data Repositories and GemFire OQL, complex/real-time event processing with GemFire CQs, data affinity using GemFire Functions conveniently…

Recorded at SpringOne Platform 2016. Speakers: Scott Frederick Slides: http://www.slideshare.net/SpringCentral/consuming-data-services-with-spring-apps-on-cloud-foundry

Applications running on Cloud Foundry often need to connect to data services such as relational databases, document and data structure stores, and messaging services. Spring Cloud Connectors, Spring Boot and Cloud Foundry make it easy to connect Java and Spring applications to these types of data sources. Spring Boot and the Cloud Foundry Java Buildpack provide auto-configuration capabilities that make it possible to connect…

Recorded at SpringOne Platform 2016. Speakers: Mark Paluch, John Blum Slides: http://www.slideshare.net/SpringCentral/sneak-peek-at-spring-data-cassandra

Spring Data Cassandra was a community-maintained module for several years. The Spring Data team promotes the Cassandra module with the Ingalls release train to a core module. Project leads John Blum and Mark Paluch will guide you through the upcoming changes in Spring Data Cassandra and give you an impression what to expect from the upcoming version.