267 Épisodes

  1. Domain-Driven Design and Apache Kafka with Paul Rayner

    Publié: 18/03/2020
  2. Machine Learning with TensorFlow and Apache Kafka ft. Chris Mattmann

    Publié: 11/03/2020
  3. Distributed Systems Engineering with Apache Kafka ft. Gwen Shapira

    Publié: 04/03/2020
  4. Towards Successful Apache Kafka Implementations ft. Jakub Korab

    Publié: 26/02/2020
  5. Knative 101: Kubernetes and Serverless Explained with Jacques Chester

    Publié: 19/02/2020
  6. Paving a Data Highway with Kafka Connect ft. Liz Bennett

    Publié: 12/02/2020
  7. Distributed Systems Engineering with Apache Kafka ft. Jun Rao

    Publié: 05/02/2020
  8. How to Write a Successful Conference Abstract | Streaming Audio Special

    Publié: 04/02/2020
  9. Streaming Call of Duty at Activision with Apache Kafka ft. Yaroslav Tkachenko

    Publié: 27/01/2020
  10. Confluent Platform 5.4 | What's New in This Release + Updates

    Publié: 22/01/2020
  11. Making Apache Kafka Connectors for the Cloud ft. Magesh Nandakumar

    Publié: 13/01/2020
  12. Location Data and Geofencing with Apache Kafka ft. Guido Schmutz

    Publié: 08/01/2020
  13. Multi-Cloud Monitoring and Observability with the Metrics API ft. Dustin Cote

    Publié: 30/12/2019
  14. Apache Kafka and Apache Druid – The Perfect Pair ft. Rachel Pedreschi

    Publié: 23/12/2019
  15. Apache Kafka 2.4 – Overview of Latest Features, Updates, and KIPs

    Publié: 16/12/2019
  16. Cloud-Native Patterns with Cornelia Davis

    Publié: 16/12/2019
  17. Ask Confluent #16: ksqlDB Edition

    Publié: 12/12/2019
  18. Machine Learning with Kafka Streams, Kafka Connect, and ksqlDB ft. Kai Waehner

    Publié: 04/12/2019
  19. Real-Time Payments with Clojure and Apache Kafka ft. Bobby Calderwood

    Publié: 27/11/2019
  20. Announcing ksqlDB ft. Jay Kreps

    Publié: 20/11/2019

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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.

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