267 Épisodes

  1. Apache Kafka Security Best Practices

    Publié: 11/08/2022

  2. What Could Go Wrong with a Kafka JDBC Connector?

    Publié: 04/08/2022

  3. Apache Kafka Networking with Confluent Cloud

    Publié: 28/07/2022

  4. Event-Driven Systems and Agile Operations

    Publié: 21/07/2022

  5. Streaming Analytics and Real-Time Signal Processing with Apache Kafka

    Publié: 14/07/2022

  6. Blockchain Data Integration with Apache Kafka

    Publié: 07/07/2022

  7. Automating Multi-Cloud Apache Kafka Cluster Rollouts

    Publié: 30/06/2022

  8. Common Apache Kafka Mistakes to Avoid

    Publié: 23/06/2022

  9. Tips For Writing Abstracts and Speaking at Conferences

    Publié: 16/06/2022

  10. How I Became a Developer Advocate

    Publié: 09/06/2022

  11. Data Mesh Architecture: A Modern Distributed Data Model

    Publié: 02/06/2022

  12. Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools

    Publié: 26/05/2022

  13. Practical Data Pipeline: Build a Plant Monitoring System with ksqlDB

    Publié: 19/05/2022

  14. Apache Kafka 3.2 - New Features & Improvements

    Publié: 17/05/2022

  15. Scaling Apache Kafka Clusters on Confluent Cloud ft. Ajit Yagaty and Aashish Kohli

    Publié: 11/05/2022

  16. Streaming Analytics on 50M Events Per Day with Confluent Cloud at Picnic

    Publié: 05/05/2022

  17. Build a Data Streaming App with Apache Kafka and JS - Coding in Motion

    Publié: 03/05/2022

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

    Publié: 28/04/2022

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

    Publié: 21/04/2022

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

    Publié: 13/04/2022

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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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