270 Episodo

  1. Capacity Planning Your Apache Kafka Cluster

    Publicado: 30/8/2022

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

    Publicado: 25/8/2022

  3. Real-Time Event Distribution with Data Mesh

    Publicado: 18/8/2022

  4. Apache Kafka Security Best Practices

    Publicado: 11/8/2022

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

    Publicado: 4/8/2022

  6. Apache Kafka Networking with Confluent Cloud

    Publicado: 28/7/2022

  7. Event-Driven Systems and Agile Operations

    Publicado: 21/7/2022

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

    Publicado: 14/7/2022

  9. Blockchain Data Integration with Apache Kafka

    Publicado: 7/7/2022

  10. Automating Multi-Cloud Apache Kafka Cluster Rollouts

    Publicado: 30/6/2022

  11. Common Apache Kafka Mistakes to Avoid

    Publicado: 23/6/2022

  12. Tips For Writing Abstracts and Speaking at Conferences

    Publicado: 16/6/2022

  13. How I Became a Developer Advocate

    Publicado: 9/6/2022

  14. Data Mesh Architecture: A Modern Distributed Data Model

    Publicado: 2/6/2022

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

    Publicado: 26/5/2022

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

    Publicado: 19/5/2022

  17. Apache Kafka 3.2 - New Features & Improvements

    Publicado: 17/5/2022

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

    Publicado: 11/5/2022

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

    Publicado: 5/5/2022

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

    Publicado: 3/5/2022

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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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