270 Epizód

  1. Machine Learning with Kafka Streams, Kafka Connect, and ksqlDB ft. Kai Waehner

    Közzétéve: 2019. 12. 04.

  2. Real-Time Payments with Clojure and Apache Kafka ft. Bobby Calderwood

    Közzétéve: 2019. 11. 27.

  3. Announcing ksqlDB ft. Jay Kreps

    Közzétéve: 2019. 11. 20.

  4. Installing Apache Kafka with Ansible ft. Viktor Gamov and Justin Manchester

    Közzétéve: 2019. 11. 18.

  5. Securing the Cloud with VPC Peering ft. Daniel LaMotte

    Közzétéve: 2019. 11. 13.

  6. ETL and Event Streaming Explained ft. Stewart Bryson

    Közzétéve: 2019. 11. 06.

  7. The Pro’s Guide to Fully Managed Apache Kafka Services ft. Ricardo Ferreira

    Közzétéve: 2019. 11. 04.

  8. Kafka Screams: The Scariest JIRAs and How To Survive Them ft. Anna McDonald

    Közzétéve: 2019. 10. 30.

  9. Data Integration with Apache Kafka and Attunity

    Közzétéve: 2019. 10. 28.

  10. Distributed Systems Engineering with Apache Kafka ft. Colin McCabe

    Közzétéve: 2019. 10. 23.

  11. Apache Kafka on Kubernetes, Microsoft Azure, and ZooKeeper with Lena Hall

    Közzétéve: 2019. 10. 16.

  12. Improving Fairness Through Connection Throttling in the Cloud with KIP-402 ft. Gwen Shapira

    Közzétéve: 2019. 10. 09.

  13. Data Modeling for Apache Kafka – Streams, Topics & More with Dani Traphagen

    Közzétéve: 2019. 10. 07.

  14. MySQL, Cassandra, BigQuery, and Streaming Analytics with Joy Gao

    Közzétéve: 2019. 10. 02.

  15. Scaling Apache Kafka with Todd Palino

    Közzétéve: 2019. 09. 25.

  16. Understand What’s Flying Above You with Kafka Streams ft. Neil Buesing

    Közzétéve: 2019. 09. 23.

  17. KIP-500: Apache Kafka Without ZooKeeper ft. Colin McCabe and Jason Gustafson

    Közzétéve: 2019. 09. 18.

  18. Should You Run Apache Kafka on Kubernetes? ft. Balthazar Rouberol

    Közzétéve: 2019. 09. 16.

  19. Jay Kreps on the Last 10 Years of Apache Kafka and Event Streaming

    Közzétéve: 2019. 09. 12.

  20. Connecting to Apache Kafka with Neo4j

    Közzétéve: 2019. 09. 09.

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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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