Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
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.
librdkafka has finally reached 1.0! Several important new features include the idempotent producer, sparse broker connections, support for the vaunted KIP-62 and a complete makeover for the C#/.NET client.
Do metrics for detecting clients from old versions actually exist? Or is Gwen making features up? This and more useful advice is coming up on today's episode of Ask Confluent.
Nick Dearden explains the five stages of streaming maturity, from the first streaming project you ever build all the way to a state where an entire organization is transformed to think in terms of real-time, event-driven systems.
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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