Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
Nationwide Building Society, a financial institution in the United Kingdom with 137 years of history and over 18,000 employees, relies on Apache Kafka for their event streaming needs. But how did this come to be? In this episode, Tim Berglund talks with Rob Jackson (Principal Architect, Nationwide) about their Kafka adoption journey as they celebrate two years in production.
Coming up with an honest test built on open source tools in an easily documented, replicable environment for a distributed system like Apache Kafka is not simple. Alok Nikhil (Cloud Native Engineer, Confluent) shares about getting Kafka in the cloud and how best to leverage Confluent Cloud for high performance and scalability.
Tim Berglund picks the brain of a distributed systems engineer, Guozhang Wang, tech lead in the Streaming department of Confluent. Guozhang explains what compelled him to join the Stream Processing team at Confluent coming from the Apache Kafka® core infrastructure.
Confluent Platform and Confluent Cloud run efficiently largely because of the dedication of the Developer Productivity team. Mohinish Shaikh (Developer, Confluent) talks about how his team builds the product pipelines for the entire event streaming platform and ensures seamless delivery of several engineering processes across engineering and the rest of the org.
What’s it like being a Microsoft Azure Cloud advocate working with Apache Kafka® and change data capture (CDC) solutions? Abhishek Gupta would know!
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.
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