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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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