February 17, 2021 | Episode 144

Integrating Spring Boot with Apache Kafka ft. Viktor Gamov

  • Transcript
  • Notes

Viktor Gamov (Developer Advocate, Confluent) joins Tim Berglund on this episode to talk all about Spring and Apache Kafka®. Viktor’s main focus lately has been helping developers build their apps with stream processing, and helping them do this effectively with different languages. Viktor recently hosted an online Spring Boot workshop that turned out to be a lot of fun. This means it was time to get him back on the show to talk about this all-important framework and how it integrates with Kafka and Kafka Streams. 

Spring Boot enables you to do more with less. Its features offer numerous benefits, making it easy to create standalone, production-grade Spring-based applications that you can just run.  The pattern also runs inside the Spring framework for a long time. The Spring Integration Framework implements many enterprise integration patterns and also has a pre-built Kafka connector.

Spring Boot was highly inspired by a 12-factor app manifesto that allows you to write portable apps and extract the configuration, providing different profiles for you to customize your deployment. 

This is a critical part of the Kafka client infrastructure. Even though it's a Java client, Confluent offers a native Spring for Apache Kafka integration for the configuration as a springboard inside Confluent Cloud. If you try to connect your application, you can copy a snippet and place it directly to your Spring application, which works with Confluent Cloud. Now, he’s working on bringing Spring Cloud Stream like YAML-based configuration into Confluent Cloud too so folks can easily copy and paste to work out of the box.

To close, Viktor shares about an interesting new project that the Confluent Developer Relations team is working on. Stick around to hear all about it and learn how Spring and Kafka work together.

Continue Listening

Episode 145February 22, 2021 | 48 min

Becoming Data Driven with Apache Kafka and Stream Processing ft. Daniel Jagielski

When it comes to adopting event-driven architectures, a couple of key considerations often arise: the way that an asynchronous core interacts with external synchronous systems and the question of “how do I refactor my monolith into services?” Daniel Jagielski, a consultant working as a tech lead/dev manager at VirtusLab for Tesco, recounts how these very themes emerged in his work with European clients, specifically Tesco.

Episode 146March 3, 2021 | 33 min

Gamified Fitness at Synthesis Software Technologies Using Apache Kafka and IoT

Synthesis Software Technologies, a Confluent partner, is migrating an existing behavioral IoT framework into Kafka to streamline and normalize vendor information. Nick Walker (Principle of Streaming) and Yoni Lew (DevOps Developer) of Synthesis discuss how they use Apache Kafka with the existing behavioral data that they collect.

Episode 147March 8, 2021 | 45 min

The Human Side of Apache Kafka and Microservices ft. SPOUD

Should enterprises be scared of Kafka? Why can it be hard to adopt Kafka? How do you drive Kafka adoption internally? All good questions, which Sam Benz (CTO) and Patrick Bönzli (Product Owner) address. They also explain how their company, SPOUD, has fully embraced Kafka for data delivery, which has proven to be successful for SPOUD since 2016 across various industries and use cases.

Got questions?

If there's something you want to know about Apache Kafka, Confluent or event streaming, please send us an email with your question and we'll hope to answer it on the next episode of Ask Confluent.

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