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Streaming Audio Podcast

Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.

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Episode 132December 7, 2020 | 42 min

Apache Kafka and Porsche: Fast Cars and Fast Data ft. Sridhar Mamella

Apache Kafka + Porsche = Fast cars and fast data! Sridhar Mamella (Platform Manager, Data Stream Platforms, Porsche) discusses how Kafka’s event streaming technology powers Porsche through their StreamZilla platform.

Episode 131December 2, 2020 | 60 min

Tales from the Frontline of Apache Kafka DevOps ft. Jason Bell

Jason Bell delves into his 32-year journey as a DevOps engineer and how he discovered Apache Kafka. As a Kafka DevOps engineer today, Jason works with on-prem clusters and faces challenges like instant replicas going down and bringing other developers who are new to Kafka up to speed so that they can eventually adopt it and begin building out APIs for Kafka.

Episode 130November 23, 2020 | 44 min

Multi-Tenancy in Apache Kafka ft. Anna Pozvner

Anna Povzner kicks off the conversation with Tim Berglund by explaining what multi-tenancy is, why it is worthy to be desired, and advantages over single-tenant architecture. By putting more applications and use cases on the same Kafka cluster instead of having a separate Kafka cluster for each individual application and use case, multi-tenancy helps minimize the costs of physical machines and also maintenance.

Episode 129November 18, 2020 | 50 min

Distributed Systems Engineering with Apache Kafka ft. Roger Hoover

Roger Hoover, one of the first engineers to work on Confluent Cloud, joins Tim Berglund to chat about the evolution of Confluent Cloud, all the stages that it’s been through, and the lessons he’s learned on the way.

Episode 128November 12, 2020 | 52 min

Why Kafka Streams Does Not Use Watermarks ft. Matthias J. Sax

Matthias J. Sax is back to discuss how event streaming has changed the game, making time management more simple yet efficient. He explains what watermarking is, the reasons behind why Kafka Streams doesn’t use them, and an alternative approach to watermarking informally called the “slack time approach.”

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Meet your hosts

Tim Berglund

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

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.

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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