270 Epizód

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

    Közzétéve: 2023. 01. 05.

  2. The Present and Future of Stream Processing

    Közzétéve: 2022. 12. 28.

  3. Top 6 Worst Apache Kafka JIRA Bugs

    Közzétéve: 2022. 12. 21.

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

    Közzétéve: 2022. 12. 20.

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

    Közzétéve: 2022. 12. 15.

  6. Rethinking Apache Kafka Security and Account Management

    Közzétéve: 2022. 12. 08.

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

    Közzétéve: 2022. 11. 29.

  8. Improving Apache Kafka Scalability and Elasticity with Tiered Storage

    Közzétéve: 2022. 11. 22.

  9. Decoupling with Event-Driven Architecture

    Közzétéve: 2022. 11. 15.

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

    Közzétéve: 2022. 11. 09.

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

    Közzétéve: 2022. 11. 03.

  12. Running Apache Kafka in Production

    Közzétéve: 2022. 10. 27.

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

    Közzétéve: 2022. 10. 20.

  14. Optimizing Apache JVMs for Apache Kafka

    Közzétéve: 2022. 10. 13.

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

    Közzétéve: 2022. 10. 03.

  16. Application Data Streaming with Apache Kafka and Swim

    Közzétéve: 2022. 10. 03.

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

    Közzétéve: 2022. 09. 30.

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

    Közzétéve: 2022. 09. 20.

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

    Közzétéve: 2022. 09. 15.

  20. Reddit Sentiment Analysis with Apache Kafka-Based Microservices

    Közzétéve: 2022. 09. 08.

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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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