267 Épisodes

  1. Ben Stopford on Microservices and Event Streaming

    Publié: 08/04/2019
  2. Magnus Edenhill on librdkafka 1.0

    Publié: 03/04/2019
  3. Ask Confluent #11: More Services, More Metrics, More Fun

    Publié: 26/03/2019
  4. It’s Time for Streaming to Have a Maturity Model ft. Nick Dearden

    Publié: 18/03/2019
  5. Containerized Apache Kafka On Kubernetes with Viktor Gamov

    Publié: 11/03/2019
  6. Catch Your Bus with KSQL: A Stream Processing Recipe by Leslie Kurt

    Publié: 04/03/2019
  7. KTable Update Suppression (and a Bunch About KTables) ft. John Roesler

    Publié: 27/02/2019
  8. Splitting and Routing Events with KSQL ft. Pascal Vantrepote

    Publié: 25/02/2019
  9. Ask Confluent #10: Cooperative Rebalances for Kafka Connect ft. Konstantine Karantasis

    Publié: 20/02/2019
  10. The Future of Serverless and Streaming with Neil Avery

    Publié: 14/02/2019
  11. Using Terraform and Confluent Cloud with Ricardo Ferreira

    Publié: 23/01/2019
  12. Ask Confluent #9: With and Without ZooKeeper

    Publié: 08/01/2019
  13. Ask Confluent #8: Guozhang Wang on Kafka Streams Standby Tasks

    Publié: 18/12/2018
  14. Ask Confluent #7: Kafka Consumers and Streams Failover Explained ft. Matthias Sax

    Publié: 03/12/2018
  15. Ask Confluent #6: Kafka, Partitions, and Exactly Once ft. Jason Gustafson

    Publié: 05/11/2018
  16. Kafka Summit SF 2018 Panel | Microsoft, Slack, Confluent, University of Cambridge

    Publié: 18/10/2018
  17. Kafka Streams in Action with Bill Bejeck

    Publié: 27/09/2018
  18. Joins in KSQL 5.0 with Hojjat Jafarpour

    Publié: 20/09/2018
  19. Ask Confluent #5: Kafka, KSQL and Viktor Gamov

    Publié: 10/09/2018
  20. KSQL Use Cases with Nick Dearden

    Publié: 06/09/2018

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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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