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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.

Kafka Streams
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Episode 109July 15, 2020 | 54 min

Fault Tolerance and High Availability in Kafka Streams and ksqlDB ft. Matthias J. Sax

Apache Kafka® Committer Matthias J. Sax explains fault tolerance, high-availability stream processing, and Kafka Streams. He explains the differences between changelogging and checkpointing, as well as making changes in Kafka versus hot standbys, explaining what qualifies nodes as a hot standby, why Kafka Streams doesn’t do watermarking, and finally, why Kafka Streams is a library and not infrastructure.

Episode 97April 29, 2020 | 40 min

IoT Integration and Real-Time Data Correlation with Kafka Connect and Kafka Streams ft. Kai Waehner

There are two primary industries within the Internet of Things (IoT): industrial IoT (IIoT) and consumer IoT (CIoT), both of which can benefit from the Kafka ecosystem, including Kafka Streams and Kafka Connect.. Kai Waehner shares example use cases where he’s seen IoT integration in action, specifically focusing on Walmart and its real-time customer integration using the Walmart app.

Episode 92April 6, 2020 | 41 min

How to Run Kafka Streams on Kubernetes ft. Viktor Gamov

There’s something about YAML and the word “Docker” that doesn’t sit well with Viktor Gamov (Developer Advocate, Confluent), but Kafka Streams on Kubernetes is a phrase that does. Viktor describes what that process looks like and how Jib helps build, test, and deploy Kafka Streams applications on Kubernetes for an improved DevOps experience.

Episode 56September 23, 2019 | 13 min

Understand What’s Flying Above You with Kafka Streams ft. Neil Buesing

Neil Buesing (Director of Real-Time Data, Object Partners) discusses what a day in his life looks like and how Kafka Streams helps analyze flight data.

Episode 44July 29, 2019 | 31 min

How to Convert Python Batch Jobs into Kafka Streams Applications with Rishi Dhanaraj

Rishi Dhanaraj worked at Zenreach as an intern and took on a big pile of Python batch jobs, turning them into some really interesting Kafka Streams code. Listen in as he walks us through how he did it.

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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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