Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
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. In this episode, Viktor Gamov (Developer Advocate, Confluent) joins Tim Berglund on this episode to talk all about Spring and Apache Kafka.
Josh Long shares how the Spring and Kotlin teams have worked hard to make sure that Kotlin and Spring Boot are a first-class experience for all developers trying to get to production faster and safer. He also talks about the issues that arise when wrapping one set of APIs with another, as often arises in the Spring Framework: when APIs should leak, when they should not, and how not to try to be a better Kafka Streams when the original is working well enough.
Tim Berglund is a teacher, author, and technology leader with Confluent, where he serves as the senior director of developer advocacy. He can frequently be found at speaking at conferences in the U.S. and all over the world. Tim is the co-presenter of various O'Reilly training videos on topics ranging from Git to distributed systems, and he is the author of "Gradle Beyond the Basics." He lives in Littleton, CO, U.S., with the wife of his youth.
Gwen Shapira is an engineering leader at Confluent. She has over 15 years of experience working with code and customers to build scalable data architectures, integrating relational and big data technologies. Gwen is the author of "Kafka: The Definitive Guide" and "Hadoop Application Architectures." Gwen is a frequent presenter at industry conferences, a PMC member on the Apache Kafka project, and a committer on Apache Sqoop™. When Gwen isn't building data pipelines or thinking up new features, you can find her pedaling on her bike exploring the roads and trails of California, and beyond.
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