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May 8, 2019 | Episode 31

Ask Confluent #13: Machine Learning with Kai Waehner

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Gwen and Kai chat about machine learning architectures, and whether software engineers and data scientists can learn to get along.

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Episode 32May 16, 2019 | 50 min

Chris Riccomini on the History of Apache Kafka and Stream Processing

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.

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Episode 33May 20, 2019 | 42 min

Testing Kafka Streams Applications with Viktor Gamov

Tim Berglund is joined by Viktor Gamov (Developer Advocate, Confluent) to discuss various approaches to testing Kafka Streams applications.

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Episode 34May 29, 2019 | 45 min

Why is Stream Processing Hard? ft. Michael Drogalis

Tim Berglund and Michael Drogalis talk about all things stream processing: why it’s complex, how it has evolved, and what’s on the horizon to make it simpler.

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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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