267 Épisodes

  1. Learn How Stream-Processing Works The Simplest Way Possible

    Publié: 20/12/2022

  2. Building and Designing Events and Event Streams with Apache Kafka

    Publié: 15/12/2022

  3. Rethinking Apache Kafka Security and Account Management

    Publié: 08/12/2022

  4. Real-time Threat Detection Using Machine Learning and Apache Kafka

    Publié: 29/11/2022

  5. Improving Apache Kafka Scalability and Elasticity with Tiered Storage

    Publié: 22/11/2022

  6. Decoupling with Event-Driven Architecture

    Publié: 15/11/2022

  7. If Streaming Is the Answer, Why Are We Still Doing Batch?

    Publié: 09/11/2022

  8. Security for Real-Time Data Stream Processing with Confluent Cloud

    Publié: 03/11/2022

  9. Running Apache Kafka in Production

    Publié: 27/10/2022

  10. Build a Real Time AI Data Platform with Apache Kafka

    Publié: 20/10/2022

  11. Optimizing Apache JVMs for Apache Kafka

    Publié: 13/10/2022

  12. Apache Kafka 3.3 - KRaft, Kafka Core, Streams, & Connect Updates

    Publié: 03/10/2022

  13. Application Data Streaming with Apache Kafka and Swim

    Publié: 03/10/2022

  14. International Podcast Day - Apache Kafka Edition | Streaming Audio Special

    Publié: 30/09/2022

  15. How to Build a Reactive Event Streaming App - Coding in Motion

    Publié: 20/09/2022

  16. Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka

    Publié: 15/09/2022

  17. Reddit Sentiment Analysis with Apache Kafka-Based Microservices

    Publié: 08/09/2022

  18. Capacity Planning Your Apache Kafka Cluster

    Publié: 30/08/2022

  19. Streaming Real-Time Sporting Analytics for World Table Tennis

    Publié: 25/08/2022

  20. Real-Time Event Distribution with Data Mesh

    Publié: 18/08/2022

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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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