270 Avsnitt

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

    Publicerades: 2023-01-05

  2. The Present and Future of Stream Processing

    Publicerades: 2022-12-28

  3. Top 6 Worst Apache Kafka JIRA Bugs

    Publicerades: 2022-12-21

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

    Publicerades: 2022-12-20

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

    Publicerades: 2022-12-15

  6. Rethinking Apache Kafka Security and Account Management

    Publicerades: 2022-12-08

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

    Publicerades: 2022-11-29

  8. Improving Apache Kafka Scalability and Elasticity with Tiered Storage

    Publicerades: 2022-11-22

  9. Decoupling with Event-Driven Architecture

    Publicerades: 2022-11-15

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

    Publicerades: 2022-11-09

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

    Publicerades: 2022-11-03

  12. Running Apache Kafka in Production

    Publicerades: 2022-10-27

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

    Publicerades: 2022-10-20

  14. Optimizing Apache JVMs for Apache Kafka

    Publicerades: 2022-10-13

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

    Publicerades: 2022-10-03

  16. Application Data Streaming with Apache Kafka and Swim

    Publicerades: 2022-10-03

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

    Publicerades: 2022-09-30

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

    Publicerades: 2022-09-20

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

    Publicerades: 2022-09-15

  20. Reddit Sentiment Analysis with Apache Kafka-Based Microservices

    Publicerades: 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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