Hi Spring fans! Happy New Year! And welcome to another installment of This Year in Spring!

The year that was...

I write this edition from a desk overlooking the beautiful jungle of Martinique, a beautiful island nation in the French Caribbean. I’m sipping some rhum martinique, enjoying the semi-sweltering heat, and thinking about the year that's been 2024. Every year at this time, since 2011, I write this year in spring, an abbreviated look at the year from the rearview mirror.

So many amazing things happened this year. It’s sort of difficult to put my finger on any one thing. But, I shall try…

Hi, Spring fans! (and happy holidays!) in this installment I talk to Intact's Luke Shannon about their use of Spring, developer portals, and so much more.

This Week in Spring - December 17th, 2024

Hi, Spring fans! Welcome to another installment of a Bootiful Podcast! It's the 17th of December, 2024! And you know what means? The end of the year is nearly upon us! I can't believe it. It's been a very long year indeed, but I'm happy to get on board a flight bound for San Francisco soon and wind down my year in the company of friends and family. I hope you will too. Let's dive right into this week's roundup!

• Spring Data 2024.1.1 and 2024.0.7 released
• the amazing K. Siva Prasad Reddy (SivaLabs) on A Bootiful Podcast
• Spring Framework 6.1.16 and 6.2.1 are available now
• Announcing Spring AI MCP: a Java SDK for the Model Context Protocol
• Introducing Spring AI Amazon Bedrock Nova Integratino via Converse API
• A nice blog by Michael Minella: Spring Support Updates
• this is an interesting comparison of performance and efficiency in a Spring application implemented using the reactive system and a Spring application implemented without reactive, and - importantly - without Java 21's virtual threads…

Hi, Spring fans! In today's installment I talk to industry legend K. Siva Prasad Reddy (@sivalabs). You've probably read one of his blogs. I know I have!

We're excited to introduce Spring AI MCP, a robust Java SDK implementation of the Model Context Protocol (MCP). This new addition to the Spring AI ecosystem brings standardized AI model integration capabilities to the Java platform.

What is MCP?

The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). MCP provides a standardized way to connect AI models to different data sources and tools, making integration seamless and consistent. It helps you build agents and complex workflows on top of LLMs. LLMs frequently…

The Amazon Bedrock Nova models represent a new generation of foundation models supporting a broad range of use cases, from text and image understanding to video-to-text analysis.

With the Spring AI Bedrock Converse API integration, developers can seamlessly connect to these advanced Nova models and build sophisticated conversational applications with minimal effort.

This blog post introduces the key features of Amazon Nova models, demonstrates their integration with Spring AI's Bedrock Converse API, and provides practical examples for text, image, video, document processing, and function…

Hi, Spring fans! Welcome to another installment of This Week in Spring! As I write this I am in the southern hemisphere (it's summer down here!), in Brisbane, waiting to board a plane for Sydney. It's been a ton of fun!

• I did a video looking at the latest-and-greatest in Spring Framework 6.2 - check it out!
• I did another video looking at the latest-and-greatest in Spring Data 2024.1
• in last week's installment of A Bootiful Podcast, I talk to Spring Security lead Rob Winch
• to learn more about Spring AI's new audio features, check out this blog by Christian Tzolov
• Spring Tools 4.27.0 has been released
• this is an interesting read from Karanbir Singh on Spring Boot 3.4x's OAuth2 client using RestClient
• WireMock now has an official Spring Boot integration
• this video by BellSoft's Catherine Edelveis on using CRaC with Spring Boot…

Hi, Spring fans! In this installment, we'll talk to the amazing Rob Winch, lead of Spring Security 6.4, about the jam-packed new release! #spring #springboot #security #java

This blog post is co-authored by our great contributor Thomas Vitale.

OpenAI provides specialized models for speech-to-text and text-to-speech conversion, recognized for their performance and cost-efficiency. Spring AI integrates these capabilities via Voice-to-Text and Text-to-Speech (TTS).

The new Audio Generation feature (gpt-4o-audio-preview) goes further, enabling mixed input and output modalities. Audio inputs can contain richer data than text alone. Audio can convey nuanced information like tone and inflection, and together with the audio outputs it enables asynchronous speech-to-speech interactions. Additionally, this new multimodality opens up possibilities for innovative applications, such as structured data extraction. Developers can extract structured information not just from simple text, but also from images and audio, building complex, structured objects…