Listen to Tim Berglund and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
Chris Riccomini tells us how Apache Kafka® and the stream processing framework Samza came about, and also what he’s doing these days at WePay—building systems that use Kafka as a primary datastore.
Gwen and Kai chat about machine learning architectures, and whether software engineers and data science can learn to get along.
Kafka Streams Engineer Guozhang Wang walks through the implementation of transactional messaging in Kafka in some detail, including the idempotent producer API, the transaction coordinator responsible for managing the transaction log and consumer configurations.
Stanislav Kozlovski joins us to discuss common pitfalls when using Kafka consumers and a new KIP that promises to make consumer restarts much smoother.
In this podcast, Ben Stopford explores the event-driven paradigm and how it relates to the microservice architectures we build today. Ben dives deep into coupling, evolution and challenges of our increasingly data-oriented culture.
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.
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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