Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
Todd Palino talks about the start of Apache Kafka® at LinkedIn, what learning to use Kafka was like, how Kafka has changed, and what he and others in the community hope for in the future of Kafka.
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.
Colin McCabe and Jason Gustafson discuss the history of Kafka, the creation of KIP-500, and the implications of removing ZooKeeper dependency and replacing it with a self-managed metadata quoroum.
What are the maturing stages of Kubernetes adoption? How did Datadog experience these stages? Balthazar Rouberol explains what to think about before hopping on Kubernetes hype train.
Jay Kreps to talk about stream processing, his early coding days at LinkedIn, starting Confluent, the highs, the lows, and everything in between.
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 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.
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
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