270 Episodo

  1. Optimizing Apache Kafka's Internals with Its Co-Creator Jun Rao

    Publicado: 28/4/2022

  2. Using Event-Driven Design with Apache Kafka Streaming Applications ft. Bobby Calderwood

    Publicado: 21/4/2022

  3. Monitoring Extreme-Scale Apache Kafka Using eBPF at New Relic

    Publicado: 13/4/2022

  4. Confluent Platform 7.1: New Features + Updates

    Publicado: 12/4/2022

  5. Scaling an Apache Kafka Based Architecture at Therapie Clinic

    Publicado: 7/4/2022

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

    Publicado: 29/3/2022

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

    Publicado: 22/3/2022

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

    Publicado: 15/3/2022

  9. Why Data Mesh? ft. Ben Stopford

    Publicado: 10/3/2022

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

    Publicado: 3/3/2022

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

    Publicado: 24/2/2022

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

    Publicado: 16/2/2022

  13. On to the Next Chapter ft. Tim Berglund

    Publicado: 3/2/2022

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

    Publicado: 1/2/2022

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

    Publicado: 27/1/2022

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

    Publicado: 24/1/2022

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

    Publicado: 20/1/2022

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

    Publicado: 13/1/2022

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

    Publicado: 6/1/2022

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

    Publicado: 28/12/2021

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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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