267 Episodes

  1. Teaching Apache Kafka Online with Stéphane Maarek

    Published: 8/19/2019
  2. Connecting Apache Cassandra to Apache Kafka with Jeff Carpenter from DataStax

    Published: 8/12/2019
  3. Transparent GDPR Encryption with David Jacot

    Published: 8/8/2019
  4. Confluent Platform 5.3 | What's New in This Release

    Published: 7/31/2019
  5. How to Convert Python Batch Jobs into Kafka Streams Applications with Rishi Dhanaraj

    Published: 7/29/2019
  6. Ask Confluent #14: In Control of Kafka with Dan Norwood

    Published: 7/22/2019
  7. Kafka in Action with Dylan Scott

    Published: 7/15/2019
  8. Change Data Capture with Debezium ft. Gunnar Morling

    Published: 7/10/2019
  9. Distributed Systems Engineering with Apache Kafka ft. Jason Gustafson

    Published: 7/2/2019
  10. Apache Kafka 2.3 | What's New in This Release + Updates and KIPs

    Published: 6/25/2019
  11. Rolling Kafka Upgrades and Confluent Cloud ft. Gwen Shapira

    Published: 6/25/2019
  12. Deploying Confluent Platform, from Zero to Hero ft. Mitch Henderson

    Published: 6/18/2019
  13. Why Kafka Connect? ft. Robin Moffatt

    Published: 6/12/2019
  14. Schema Registry Made Simple by Confluent Cloud ft. Magesh Nandakumar

    Published: 6/3/2019
  15. Why is Stream Processing Hard? ft. Michael Drogalis

    Published: 5/29/2019
  16. Testing Kafka Streams Applications with Viktor Gamov

    Published: 5/20/2019
  17. Chris Riccomini on the History of Apache Kafka and Stream Processing

    Published: 5/16/2019
  18. Ask Confluent #13: Machine Learning with Kai Waehner

    Published: 5/8/2019
  19. Diving into Exactly Once Semantics with Guozhang Wang

    Published: 4/22/2019
  20. Ask Confluent #12: In Search of the Lost Offsets

    Published: 4/17/2019

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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.