Hi, Spring fans! Welcome to another installment of This Week in Spring! And what a week it will be! I'm in Venice, Italy, on a little vacation, but tomorrow I begin a quick journey to beautiful Sofia, Bulgaria, where I'll be speaking at the amazing JPrime software show (it's my first time speaking there, though not even my 20th time speaking in Bulgaria!). I'm so looking forward to it.

Then, I turn right back around and head to Barcelona, Spain, for the not-to-be-missed Spring IO event! I love Spring IO, and you should too! It is, in my estimation, the premier Spring event in EMEA and an…

Spring Boot 3.3.0 has been released, and it contains support for SBOMs. SBOM stands for "Software Bill of Materials" and describes the components used to build a software artifact. In the context of this blog post, that's your Spring Boot application. These SBOMs are useful because they describe exactly what your application contains. With that information, you can assess if a security vulnerability affects your application, or use automated security tools to scan your applications and alert you on security vulnerabilities.

There are multiple SBOM formats out there, the most widely used ones are CycloneDX, SPDX, and Syft. Spring Boot 3.3.0 supports CycloneDX out of the box. The…

Hi, Spring fans! In today's installment we talk to Tagir Valeev, a fellow Java Champion and IntelliJ IDEA Java legend.

Also: don't forget to try out the just-released Spring Boot 3.3 release!

Welcome to another installment of This Week in Spring! It's been yet another amazing and exciting week and with it a bevy of new releases. And of course, in about a week's time, we will find ourselves at Spring IO, ready to show a lot of these new things. Will you be there? I will! Anyway, let's dive right into it. There are a ton of new releases!

• Spring for Apache Pulsar 1.0.6 is available now
• Spring for Apache Pulsar 1.1.0 is available now
• Spring AMQP 3.0.14 and 3.1.5 available now
• Spring Web Services 4.0.11 is available now
• Spring Data 2024.0 goes GA
• Spring Data 2024.1.6 and 2023.0.12 available now
• Spring Framework 6.2.0-M2 available now
• In last week's exciting installment of a A Bootiful Podcast, I talked to Oleg Šelajev, of Docker and Testcontainers legend
• Spring Framework 6.1.7, 6.0.20 and 5.3.35 available now
…

May 21, 2024, at 9 AM PST

You can now use Azure Spring Apps to effectively run Spring Batch applications with adaptive cost control. You only pay when batch jobs are running, and you can simply lift and shift your Spring Batch jobs with no code change.

Spring Batch is a framework for processing large amounts of data in Java applications. It provides reusable functions for logging, transaction management, job statistics, job restart, skipping errors, and resource management. It also supports high-performance tasks through optimization and partitioning. Introduced in March 2008, Spring Batch is…

Hi, Spring and Testcontainers fans! In this interview, I talk to Oleg Šelajev

Hi, Spring fans! Welcome to another installment of This Week in Spring!

This week's highlights in the Spring ecosystem emphasize the ongoing advancements and applications of Spring AI. The discussions range from exploring the impressive VectorStore abstraction and enhanced structured output support to practical integrations with platforms like Azure OpenAI and Neo4J. There are several posts this week about how Spring AI can power intelligent applications. The celebration of Spring Boot's 10th anniversary with its cofounders and a historical reflection by Spring founder Rod Johnson further…

Hi, Spring fans! In this installment I talk to cofounders Phil Webb and Dr. David Syer, on the occassion of the 10th Anniversary of Spring Boot

UPDATE: (04.06.2024) Adde snippets for using structured output with the new, fluent ChatClient API .

UPDATE: (17.05.2024) Generic Types support for BeanOutputConverter added.

Science works with chunks and bits and pieces of things with the continuity presumed, and Art works only with the continuities of things with the chunks and bits and pieces presumed. - Robert M. Pirsig

The ability of LLMs to produce structured outputs is important for downstream applications that rely on reliably parsing output values. Developers want to quickly turn results from an AI model into data types, such as…