270 Epizód

  1. Capacity Planning Your Apache Kafka Cluster

    Közzétéve: 2022. 08. 30.

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

    Közzétéve: 2022. 08. 25.

  3. Real-Time Event Distribution with Data Mesh

    Közzétéve: 2022. 08. 18.

  4. Apache Kafka Security Best Practices

    Közzétéve: 2022. 08. 11.

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

    Közzétéve: 2022. 08. 04.

  6. Apache Kafka Networking with Confluent Cloud

    Közzétéve: 2022. 07. 28.

  7. Event-Driven Systems and Agile Operations

    Közzétéve: 2022. 07. 21.

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

    Közzétéve: 2022. 07. 14.

  9. Blockchain Data Integration with Apache Kafka

    Közzétéve: 2022. 07. 07.

  10. Automating Multi-Cloud Apache Kafka Cluster Rollouts

    Közzétéve: 2022. 06. 30.

  11. Common Apache Kafka Mistakes to Avoid

    Közzétéve: 2022. 06. 23.

  12. Tips For Writing Abstracts and Speaking at Conferences

    Közzétéve: 2022. 06. 16.

  13. How I Became a Developer Advocate

    Közzétéve: 2022. 06. 09.

  14. Data Mesh Architecture: A Modern Distributed Data Model

    Közzétéve: 2022. 06. 02.

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

    Közzétéve: 2022. 05. 26.

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

    Közzétéve: 2022. 05. 19.

  17. Apache Kafka 3.2 - New Features & Improvements

    Közzétéve: 2022. 05. 17.

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

    Közzétéve: 2022. 05. 11.

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

    Közzétéve: 2022. 05. 05.

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

    Közzétéve: 2022. 05. 03.

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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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