I take the opportunity of a short stop between SpringOne platform where I gave the first talk about Spring Fu and Kotlinconf to give an overview of the evolution of this project, summarize the current status and share what could be the next steps.

Early June, I announced a new experimental project named Spring Fu, with the goal to experiment on a new kind of API to configure Spring applications using Kotlin DSL and functional configuration.

Today, I am proud to announce a new experimental project: Spring Fu. It is a @Kotlin micro-framework that makes it easy to create lightweight Spring-powered applications with functional APIs instead of annotations. We are looking for feedback. https://t.co/R15wJ1gD8K pic.twitter.com/ScljoPZ8rW

— Sébastien Deleuze (@sdeleuze) June 8, 2018

I must admit I was not expecting the huge wave of feedback that followed, and I would like to thank the Spring community for such warm welcome. I have…

Whew! What a week! I'm exhausted! I've been running around visting one customer after another this week and it's only Tuesday! My brain is still a smoldering hole from the craziness of last week's epic SpringOne Platform 2018 event in Washington DC, and needless to say there's a ton of new things to investigate and tons of videos to be available to the audience soon. This week is a wee bit more tame, so without further ado, let's get to it!

I don't know where you are in the world as you read this but I hope you'll join me 17:00 BST, for my appearance at the vJUG where I'll be looking at Bootiful Testing…

With Spring Data Lovelace just released in its generally available version last week, it is time to have a brief walk through the new features we have added. The release train is pretty packed with features. In this blog post, I cover the more general ones. Advanced, store-specific news is covered in the following blog posts:

• Jens Schauder introducing Spring Data JDBC

• Jens again on how to model aggregates with Spring Data JDBC

• Christoph Strobl on MongoDB

• Mark Paluch on Spring Data for Apache Cassandra & Redis

Read up on those? Alright, then let’s get started on the more general items…

The past year has seen a lot of enhancements brought to the NoSQL Store including a bunch of new features and extended capabilities. We collaborated closely with the driver team at MongoDB, so the release already ships with decent support for sessions, change streams, schema validation, and (of course) transactions.

The most interesting new feature is probably MongoDB 4.0’s support for Multi-Document Transactions. If you have followed this blog before, you have probably read our Hands on Guide that explains both ClientSessions (which are the main building block) and transactions themselves. In short, SpringData provides you with everything you need to leverage Spring managed transaction support in your project. To use it, declare MongoTransactionManager…

On behalf of the community, it is my pleasure to announce the general availability of Spring Security 5.1. This release closes off 50+ tickets.

Please check out the What’s New in Spring Security 5.1.

As always, we look forward to hearing your feedback!

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Hi Spring fans! What a crazy week in Spring it's been! I'm at SpringOne Platform 2018 soaking up all the exciting community events, interacting with people from around the planet who love Pivotal and love Spring! I just got asked to take a selfie with a woman from Vietnam while five miles from the show - at a local mall where I happened to be for a community dinner! It's wonderful that the Pivotal brings people of so many disparate cultures and places together.

Today, Wednesday 26th, 2018, was a doozie! There are so many wonderful things happening this week, of course, but today was a very…

This blog post explains the new and noteworthy in Spring Data Lovelace for Apache Cassandra and Redis. Make sure to also check out the blog post on What’s new in Spring Data Lovelace for MongoDB?.

With Spring Data Lovelace just released in its generally available version last week, it’s time to have a brief walk through the new feature’s we have added. The release train is pretty packed with features.

In this blog post, I’ll be covering Apache Cassandra and Redis.

Spring Data for Apache Cassandra

With this release, we refined data access with Cassandra-specific types, introduced support for…

On behalf of the Spring Batch team, I’m pleased to announce that Spring Batch 4.1.0.RC1 is now available on Github and the Pivotal download repository.

What’s new?

In this release, we worked mainly on making Spring Batch build and run correctly on Java 8, 9, 10 and 11! This release is based on Spring Framework 5.1 GA as well as the latest versions of Spring Integration, Spring AMQP and Spring Data. For a complete list of changes, please refer to the change log.

What’s next?

Our plan is to release Spring Batch 4.1 GA by the end of October right in time for Spring Boot 2.1 GA. The focus will be on making this release candidate as stable as possible so please help us by testing new features and submitting your feedback on JIRA, StackOverflow or Gitter. You can consume Spring Batch 4.1.0.RC1 with Spring Boot 2.1.0.M4…

It's been such a crazy SpringOne Platform 2018 and we literally just started! I don't even know where to begin! The show represents the convergence of the best and the brightest in the ecosystem. It's absolutely amazing all the people who want and love to be here.

From our friends in the ecosystem, we see people from all organizations. IBM, Amazon Web Services, Microsoft and Google are all here hoping to make their platform the most compelling place to run Pivotal Cloud Foundry and Spring-based workloads. It's great to see my friends from all these organizations! Friends like my friends Erin…