268 Episodes

  1. Using Apache Kafka as Cloud-Native Data System ft. Gwen Shapira

    Published: 12/7/2021
  2. ksqlDB Fundamentals: How Apache Kafka, SQL, and ksqlDB Work Together ft. Simon Aubury

    Published: 12/1/2021
  3. Explaining Stream Processing and Apache Kafka ft. Eugene Meidinger

    Published: 11/23/2021
  4. Handling Message Errors and Dead Letter Queues in Apache Kafka ft. Jason Bell

    Published: 11/16/2021
  5. Confluent Platform 7.0: New Features + Updates

    Published: 11/9/2021
  6. Real-Time Stream Processing with Kafka Streams ft. Bill Bejeck

    Published: 11/4/2021
  7. Automating Infrastructure as Code with Apache Kafka and Confluent ft. Rosemary Wang

    Published: 10/26/2021
  8. Getting Started with Spring for Apache Kafka ft. Viktor Gamov

    Published: 10/19/2021
  9. Powering Event-Driven Architectures on Microsoft Azure with Confluent

    Published: 10/14/2021
  10. Automating DevOps for Apache Kafka and Confluent ft. Pere Urbón-Bayes

    Published: 10/7/2021
  11. Intro to Kafka Connect: Core Components and Architecture ft. Robin Moffatt

    Published: 9/28/2021
  12. Designing a Cluster Rollout Management System for Apache Kafka ft. Twesha Modi

    Published: 9/23/2021
  13. Apache Kafka 3.0 - Improving KRaft and an Overview of New Features

    Published: 9/21/2021
  14. How to Build a Strong Developer Community with Global Engagement ft. Robin Moffatt and Ale Murray

    Published: 9/14/2021
  15. What Is Data Mesh, and How Does it Work? ft. Zhamak Dehghani

    Published: 9/9/2021
  16. Multi-Cluster Apache Kafka with Cluster Linking ft. Nikhil Bhatia

    Published: 8/31/2021
  17. Using Apache Kafka and ksqlDB for Data Replication at Bolt

    Published: 8/26/2021
  18. Placing Apache Kafka at the Heart of a Data Revolution at Saxo Bank

    Published: 8/19/2021
  19. Advanced Stream Processing with ksqlDB ft. Michael Drogalis

    Published: 8/11/2021
  20. Minimizing Software Speciation with ksqlDB and Kafka Streams ft. Mitch Seymour

    Published: 8/5/2021

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Hi, we’re Tim Berglund, Adi Polak, and Viktor Gamov and we’re excited to bring you the Confluent Developer podcast (formerly “Streaming Audio.”) Our hand-crafted weekly episodes feature in-depth interviews with our community of software developers (actual human beings - not AI) talking about some of the most interesting challenges they’ve faced in their careers. We aim to explore the conditions that gave rise to each person’s technical hurdles, as well as how their experiences transformed their understanding and approach to building systems. Whether you’re a seasoned open source data streaming engineer, or just someone who’s interested in learning more about Apache Kafka®,  Apache Flink® and real-time data, we hope you’ll appreciate the stories, the discussion, and our effort to bring you a high-quality show worth your time.