267 Épisodes

  1. Confluent Platform 7.1: New Features + Updates

    Publié: 12/04/2022

  2. Scaling an Apache Kafka Based Architecture at Therapie Clinic

    Publié: 07/04/2022

  3. Bridging Frontend and Backend with GraphQL and Apache Kafka ft. Gerard Klijs

    Publié: 29/03/2022

  4. Building Real-Time Data Governance at Scale with Apache Kafka ft. Tushar Thole

    Publié: 22/03/2022

  5. Handling 2 Million Apache Kafka Messages Per Second at Honeycomb

    Publié: 15/03/2022

  6. Why Data Mesh? ft. Ben Stopford

    Publié: 10/03/2022

  7. Serverless Stream Processing with Apache Kafka ft. Bill Bejeck

    Publié: 03/03/2022

  8. The Evolution of Apache Kafka: From In-House Infrastructure to Managed Cloud Service ft. Jay Kreps

    Publié: 24/02/2022

  9. What’s Next for the Streaming Audio Podcast ft. Kris Jenkins

    Publié: 16/02/2022

  10. On to the Next Chapter ft. Tim Berglund

    Publié: 03/02/2022

  11. Intro to Event Sourcing with Apache Kafka ft. Anna McDonald

    Publié: 01/02/2022

  12. Expanding Apache Kafka Multi-Tenancy for Cloud-Native Systems ft. Anna Povzner and Anastasia Vela

    Publié: 27/01/2022

  13. Apache Kafka 3.1 - Overview of Latest Features, Updates, and KIPs

    Publié: 24/01/2022

  14. Optimizing Cloud-Native Apache Kafka Performance ft. Alok Nikhil and Adithya Chandra

    Publié: 20/01/2022

  15. From Batch to Real-Time: Tips for Streaming Data Pipelines with Apache Kafka ft. Danica Fine

    Publié: 13/01/2022

  16. Real-Time Change Data Capture and Data Integration with Apache Kafka and Qlik

    Publié: 06/01/2022

  17. Modernizing Banking Architectures with Apache Kafka ft. Fotios Filacouris

    Publié: 28/12/2021

  18. Running Hundreds of Stream Processing Applications with Apache Kafka at Wise

    Publié: 21/12/2021

  19. Lessons Learned From Designing Serverless Apache Kafka ft. Prachetaa Raghavan

    Publié: 14/12/2021

  20. Using Apache Kafka as Cloud-Native Data System ft. Gwen Shapira

    Publié: 07/12/2021

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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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