270 Epizód

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

    Közzétéve: 2022. 04. 28.

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

    Közzétéve: 2022. 04. 21.

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

    Közzétéve: 2022. 04. 13.

  4. Confluent Platform 7.1: New Features + Updates

    Közzétéve: 2022. 04. 12.

  5. Scaling an Apache Kafka Based Architecture at Therapie Clinic

    Közzétéve: 2022. 04. 07.

  6. Bridging Frontend and Backend with GraphQL and Apache Kafka ft. Gerard Klijs

    Közzétéve: 2022. 03. 29.

  7. Building Real-Time Data Governance at Scale with Apache Kafka ft. Tushar Thole

    Közzétéve: 2022. 03. 22.

  8. Handling 2 Million Apache Kafka Messages Per Second at Honeycomb

    Közzétéve: 2022. 03. 15.

  9. Why Data Mesh? ft. Ben Stopford

    Közzétéve: 2022. 03. 10.

  10. Serverless Stream Processing with Apache Kafka ft. Bill Bejeck

    Közzétéve: 2022. 03. 03.

  11. The Evolution of Apache Kafka: From In-House Infrastructure to Managed Cloud Service ft. Jay Kreps

    Közzétéve: 2022. 02. 24.

  12. What’s Next for the Streaming Audio Podcast ft. Kris Jenkins

    Közzétéve: 2022. 02. 16.

  13. On to the Next Chapter ft. Tim Berglund

    Közzétéve: 2022. 02. 03.

  14. Intro to Event Sourcing with Apache Kafka ft. Anna McDonald

    Közzétéve: 2022. 02. 01.

  15. Expanding Apache Kafka Multi-Tenancy for Cloud-Native Systems ft. Anna Povzner and Anastasia Vela

    Közzétéve: 2022. 01. 27.

  16. Apache Kafka 3.1 - Overview of Latest Features, Updates, and KIPs

    Közzétéve: 2022. 01. 24.

  17. Optimizing Cloud-Native Apache Kafka Performance ft. Alok Nikhil and Adithya Chandra

    Közzétéve: 2022. 01. 20.

  18. From Batch to Real-Time: Tips for Streaming Data Pipelines with Apache Kafka ft. Danica Fine

    Közzétéve: 2022. 01. 13.

  19. Real-Time Change Data Capture and Data Integration with Apache Kafka and Qlik

    Közzétéve: 2022. 01. 06.

  20. Modernizing Banking Architectures with Apache Kafka ft. Fotios Filacouris

    Közzétéve: 2021. 12. 28.

4 / 14

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.

Visit the podcast's native language site