Streaming Audio: A Confluent Podcast about Apache Kafka
Join our hosts and guests from the community as they discuss the latest Apache Kafka®️ news, use cases, and trends spanning the topics of data streaming, microservices, modern IT architectures, and the cloud.
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.
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.
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.
Ask Confluent #13: Machine Learning with Kai Waehner
Gwen and Kai chat about machine learning architectures, and whether software engineers and data science can learn to get along.
Diving into Exactly Once Semantics with Guozhang Wang
Kafka Streams Engineer Guozhang Wang walks through the implementation of transactional messaging in Kafka in some detail, including the idempotent producer API, the transaction coordinator responsible for managing the transaction log and consumer configurations.
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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