On behalf of the team and everyone who contributed, I am pleased to announce the first Milstone for 4.0.0 of Spring AMQP.

The patch versions 3.1.9 and 3.2.3 also have been released.

The notable changes in 4.0.0 generation so far are:

• Migration null-safety to JSpecify and NullAway;
• Removal of previously deprecated API;
• Migrate some data classes to Java record.

The 4.0.0-M1 is also the first Milestone for this project which, according to our new policy, has been published to Maven Central.

Many thanks to community for feedback and prompt fixes!

See more info in the Release Notes.

Don't…

We are pleased to announce the release of Spring for Apache Kafka versions 3.3.3 and 3.2.7. We extend our gratitude to all contributors who made these releases possible.

Release Notes

See the release notes for more details on what's included in these releases:

https://github.com/spring-projects/spring-kafka/releases/tag/v3.3.3

https://github.com/spring-projects/spring-kafka/releases/tag/v3.2.7

Kafka Client 3.9.0 compatibility

Spring for Apache Kafka version 3.3.3 is compatible with Kafka Client 3.9.0, though the framework's compile-time dependency uses Kafka Client 3.8.1. To use Kafka Client 3.9.0 or later with version 3.3.3, applications must manually upgrade their Kafka Client version. For instructions on overriding Kafka Client versions in Spring Boot, please refer to this guide…

On behalf of the team and everyone who contributed, I am pleased to announce the second Milestone of Spring Integration 6.5.0 generation.

In addition, the 6.3.8 and 6.4.2 versions with bug fixes and dependency upgrades have been released.

Some notable changes in 6.5.0-M2 are:

• The StreamTransformer now removes an IntegrationMessageHeaderAccessor.CLOSEABLE_RESOURCE header after closing it;
• The inbound channel adapters for Apache Kafka now generate ID & TIMESTAMP headers by default to be consistent with the rest of similar channel adapters in Spring Integration;
• A custom TaskScheduler is now propagated via DelayerEndpointSpec;
• The SftpSession now follows symlinks for its list operations via STAT command;
• The latest milestones for Micrometer, Spring Data and Spring Security dependencies.
…

On behalf of the team and everyone who has contributed, it is my pleasure to announce the releases of Spring Authorization Server 1.5.0-M1, 1.4.2 and 1.3.5.

See the 1.5.0-M1, 1.4.2 and 1.3.5 release notes for complete details.

To get started using Spring Authorization Server, see the Getting Started chapter of the reference documentation and the samples to become familiar with setup and configuration.

Project Page | GitHub Issues | Project Board

Hi, Spring fans! It's the week of February 18th, 2025, and you know what that means? ConFoo and Devnexus are nearly here! Next week, I'll be traveling to amazing Montreal, Canada, to speak at the ConFoo show for an amazing community, poutine, and technology! Then, a few days later, it's off to awesome Atlanta, Georgia, where I'll be doing a workshop, a talk on Spring AI with Dr. Mark Pollack, and my usual Spring Boot latest-and-greatest talk. If you're going to either of those shows (why not both?), please don't hesitate to say "salut" or "hello"!

There's a lot of great stuff in this week's…

I am pleased to announce that Spring for GraphQL 1.3.4 is now available on Maven Central.

1.3.4 closes 14 issues. This version will ship with Spring Boot 3.3.9 and 3.4.3, to be released this week.

How can you help?

If you have general questions, please ask on stackoverflow.com using the spring-graphql tag.

Project Page | GitHub | Issues | Documentation | Stack Overflow

On behalf of the team and everyone who has contributed, I’m happy to announce that Spring for Apache Pulsar 1.1.9 and 1.2.3 have been released and are now available from Maven Central.

The releases will be included in the upcoming Spring Boot 3.3.9 and 3.4.3 releases, respectively.

Please see the release notes (1.1.9 and 1.2.3) for more details.

This blog post is co-authored with David Soria Parra, Christian Tzolov, and Dariusz Jędrzejczyk.

What is MCP

The Model Context Protocol (MCP), an open protocol developed by Anthropic, is transforming the way AI applications connect and share context. It has garnered extensive support across AI applications, functioning as a standardized interface for Large Language Models (LLMs) to interact with data sources, tools, and AI agents. Whether you're building autonomous systems that need to access databases, orchestrating complex AI workflows, or creating systems where multiple agents collaborate…