Other parts in this blog series

Part 1: Introduction to Transactions in Spring Cloud Stream Kafka Applications

Part 2: Producer Initiated Transactions in Spring Cloud Stream Kafka Applications

Part 3: Synchronizing with External Transaction Managers in Spring Cloud Stream Kafka Applications

Part 4: Transactional Rollback Strategies with Spring Cloud Stream and Apache Kafka

With the fundamental analysis of how transactions work with Spring Cloud Stream Kafka applications out of the way from our previous discussions in this series, we have finally arrived at the elephant in the room: the exactly-once semantics, a much-discussed and required feature in streaming applications. In this part of this blog series, we look at how you can get exactly-once semantics in Spring Cloud Stream applications via Apache Kafka transactions. The knowledge of how transactions work from the previous sections makes it relatively easy to understand how Spring Cloud Stream Kafka applications achieve…

With Spring Framework 6.1 and Spring Boot 3.2 general availability approaching, we would like to share an overview about several efforts the Spring team is pursuing to allow developers to optimize the runtime efficiency of their applications.

We are going to cover the following technologies and use cases:

• Spring MVC as a lean Virtual Threads web stack on JDK 21
• Optimized container deployment with Spring and GraalVM Native Image
• JVM Checkpoint Restore: Scale to zero with Spring and Project CRaC
• A glimpse into OpenJDK’s future with Spring AOT and Project Leyden

If you prefer watching a video…

Hi, Spring fans! Are you using Java 21 in production already? No? you should listen to this episode. Yes? Then you should listen to this episode! This week, Josh Long talks to legendary Java Language Architect Brian Goetz (@BrianGoetz) recaping the latest-and-greatest and previewing Java.next

Other parts in this blog series

Part 1: Introduction to Transactions in Spring Cloud Stream Kafka Applications

Part 2: Producer Initiated Transactions in Spring Cloud Stream Kafka Applications

Part 3: Synchronizing with External Transaction Managers in Spring Cloud Stream Kafka Applications

In the last three sections of this blog series, we analyzed how transactions work in Spring Cloud Stream Kafka applications. We encountered different contexts in which transactions are helpful, including both producer and consumer applications and how an application can correctly use them. Now that those fundamental elements are behind us, let’s move on to another aspect of transactions: rolling back a transaction when an error occurs. When an error occurs and a transactional system cannot commit the transaction, the transaction manager rolls back the transaction and does not persist anything for a downstream consumer to see. It would help if an application could dictate how this rollback mechanism works. Spring Cloud Stream facilitates this rollback…

Hi, Spring fans! Welcome to another installment of This Week in Spring! Last week I was in Antwerp, Belgium, for the amazing Devoxx Belgium event, and this week I've been in Amsterdam for the SpringOne Tour Amsterdam stop and - in the middle of the SpringOne Tour Amsterdam event - I dipped out to join my friend and fellow Java Champion Trustin Lee (@trustin) (he created Netty! the guy's a living legend!) for a discussion and ask-me-anything at the local Amsterdam Java User Group, hosted by fellow Java Champion and local Geertjan Wielenga (@GeertjanW). It was a lovely day indeed across the two…

Hi, Spring fans! In this installment, we'll talk to Spring Data legend Greg Turnquist (@gregturn) about the incredible next-level optimizations and query enhancements, the work in general, and so much more. Recorded live at SpringOne 2023 in Las Vegas!

Other parts in this blog series

Part 1: Introduction to Transactions in Spring Cloud Stream Kafka Applications

Part 2: Producer Initiated Transactions in Spring Cloud Stream Kafka Applications

In the previous part of this blog series, we saw the basics of transaction management, primarily when using producer-initiated Spring Cloud Stream Kafka applications. In that discussion, we also briefly saw how a Spring Cloud Stream Kafka consumer application could consume records produced transactionally with proper isolation levels. When you synchronize with external transaction managers, such as one…

Hi Spring fans! Welcome to another installment of This Week in Spring! How're you doin'? I've just flown in from Singapore - where I was keynoting and presenting at SpringOne Singapore - and am now in Antwerp, Belgium for the deliriously fun Devoxx Belgium show. I've missed this show, and it's a true pleasure to be back here! Next week, I'll be in Amsterdam, just next door, for the SpringOne Tour Amsterdam. If you're there, come out and say hi!

We've got a lot of stuff to look at this morning, so let's dive right into it.

• A Bootiful Podcast: Spring AI lead Dr. Mark Pollack
• Building a ChatGPT clone with Spring Boot, LangChain, and React in 20 minutes
• Dockerize Your Spring Boot App Like a Pro
• Hah. This is fun! Generate Dynamic Websites using ChatGPT and Spring AI
• a new release of GitHub - toedter/spring-hateoas-jsonapi: A JSON:API media type implementation for Spring HATEOAS
• How To Log Outgoing HTTP Requests with Spring Rest Client and Spring Boot 3
• Introduction to Transactions in Spring Cloud Stream Kafka Applications
• Spring Cloud 2023.0.0-M2 (aka Leyton) has been released
• …

Hi, Spring fans! In this episode I talk to Dr. Mark Pollack, lead of the new Spring AI project. This episode was recorded live at SpringOne at VMware Explore 2023, in Las Vegas.