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.
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.
Tim Berglund is joined by Viktor Gamov (Developer Advocate, Confluent) to discuss various approaches to testing Kafka Streams applications.
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.
Gwen and Kai chat about machine learning architectures, and whether software engineers and data science can learn to get along.
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.
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.Email Us