267 Épisodes

  1. How Tim Berglund Found His Calling | Ep. 2

    Publié: 29/09/2025

  2. Building Real-time Systems for Apple, Nike & more ft. Adi Polak | Ep. 1

    Publié: 22/09/2025

  3. We're back! Welcome to the Confluent Developer Podcast.

    Publié: 02/09/2025

  4. Apache Kafka 3.5 - Kafka Core, Connect, Streams, & Client Updates

    Publié: 15/06/2023

  5. A Special Announcement from Streaming Audio

    Publié: 13/04/2023

  6. How to use Data Contracts for Long-Term Schema Management

    Publié: 21/03/2023

  7. How to use Python with Apache Kafka

    Publié: 14/03/2023

  8. Next-Gen Data Modeling, Integrity, and Governance with YODA

    Publié: 07/03/2023

  9. Migrate Your Kafka Cluster with Minimal Downtime

    Publié: 01/03/2023

  10. Real-Time Data Transformation and Analytics with dbt Labs

    Publié: 22/02/2023

  11. What is the Future of Streaming Data?

    Publié: 15/02/2023

  12. What can Apache Kafka Developers learn from Online Gaming?

    Publié: 08/02/2023

  13. Apache Kafka 3.4 - New Features & Improvements

    Publié: 07/02/2023

  14. How to use OpenTelemetry to Trace and Monitor Apache Kafka Systems

    Publié: 01/02/2023

  15. What is Data Democratization and Why is it Important?

    Publié: 26/01/2023

  16. Git for Data: Managing Data like Code with lakeFS

    Publié: 19/01/2023

  17. Using Kafka-Leader-Election to Improve Scalability and Performance

    Publié: 12/01/2023

  18. Real-Time Machine Learning and Smarter AI with Data Streaming

    Publié: 05/01/2023

  19. The Present and Future of Stream Processing

    Publié: 28/12/2022

  20. Top 6 Worst Apache Kafka JIRA Bugs

    Publié: 21/12/2022

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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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