270 Folgen

  1. Ask Confluent #13: Machine Learning with Kai Waehner

    Vom: 8.5.2019

  2. Diving into Exactly Once Semantics with Guozhang Wang

    Vom: 22.4.2019

  3. Ask Confluent #12: In Search of the Lost Offsets

    Vom: 17.4.2019

  4. Ben Stopford on Microservices and Event Streaming

    Vom: 8.4.2019

  5. Magnus Edenhill on librdkafka 1.0

    Vom: 3.4.2019

  6. Ask Confluent #11: More Services, More Metrics, More Fun

    Vom: 26.3.2019

  7. It’s Time for Streaming to Have a Maturity Model ft. Nick Dearden

    Vom: 18.3.2019

  8. Containerized Apache Kafka On Kubernetes with Viktor Gamov

    Vom: 11.3.2019

  9. Catch Your Bus with KSQL: A Stream Processing Recipe by Leslie Kurt

    Vom: 4.3.2019

  10. KTable Update Suppression (and a Bunch About KTables) ft. John Roesler

    Vom: 27.2.2019

  11. Splitting and Routing Events with KSQL ft. Pascal Vantrepote

    Vom: 25.2.2019

  12. Ask Confluent #10: Cooperative Rebalances for Kafka Connect ft. Konstantine Karantasis

    Vom: 20.2.2019

  13. The Future of Serverless and Streaming with Neil Avery

    Vom: 14.2.2019

  14. Using Terraform and Confluent Cloud with Ricardo Ferreira

    Vom: 23.1.2019

  15. Ask Confluent #9: With and Without ZooKeeper

    Vom: 8.1.2019

  16. Ask Confluent #8: Guozhang Wang on Kafka Streams Standby Tasks

    Vom: 18.12.2018

  17. Ask Confluent #7: Kafka Consumers and Streams Failover Explained ft. Matthias Sax

    Vom: 3.12.2018

  18. Ask Confluent #6: Kafka, Partitions, and Exactly Once ft. Jason Gustafson

    Vom: 5.11.2018

  19. Kafka Summit SF 2018 Panel | Microsoft, Slack, Confluent, University of Cambridge

    Vom: 18.10.2018

  20. Kafka Streams in Action with Bill Bejeck

    Vom: 27.9.2018

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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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