270 Folgen

  1. Cloud Marketplace Considerations with Dan Rosanova

    Vom: 30.3.2020

  2. Explore, Expand, and Extract with 3X Thinking ft. Kent Beck

    Vom: 25.3.2020

  3. Ask Confluent #17: The “What is Apache Kafka?” Episode ft. Tim Berglund

    Vom: 24.3.2020

  4. Domain-Driven Design and Apache Kafka with Paul Rayner

    Vom: 18.3.2020

  5. Machine Learning with TensorFlow and Apache Kafka ft. Chris Mattmann

    Vom: 11.3.2020

  6. Distributed Systems Engineering with Apache Kafka ft. Gwen Shapira

    Vom: 4.3.2020

  7. Towards Successful Apache Kafka Implementations ft. Jakub Korab

    Vom: 26.2.2020

  8. Knative 101: Kubernetes and Serverless Explained with Jacques Chester

    Vom: 19.2.2020

  9. Paving a Data Highway with Kafka Connect ft. Liz Bennett

    Vom: 12.2.2020

  10. Distributed Systems Engineering with Apache Kafka ft. Jun Rao

    Vom: 5.2.2020

  11. How to Write a Successful Conference Abstract | Streaming Audio Special

    Vom: 4.2.2020

  12. Streaming Call of Duty at Activision with Apache Kafka ft. Yaroslav Tkachenko

    Vom: 27.1.2020

  13. Confluent Platform 5.4 | What's New in This Release + Updates

    Vom: 22.1.2020

  14. Making Apache Kafka Connectors for the Cloud ft. Magesh Nandakumar

    Vom: 13.1.2020

  15. Location Data and Geofencing with Apache Kafka ft. Guido Schmutz

    Vom: 8.1.2020

  16. Multi-Cloud Monitoring and Observability with the Metrics API ft. Dustin Cote

    Vom: 30.12.2019

  17. Apache Kafka and Apache Druid – The Perfect Pair ft. Rachel Pedreschi

    Vom: 23.12.2019

  18. Apache Kafka 2.4 – Overview of Latest Features, Updates, and KIPs

    Vom: 16.12.2019

  19. Cloud-Native Patterns with Cornelia Davis

    Vom: 16.12.2019

  20. Ask Confluent #16: ksqlDB Edition

    Vom: 12.12.2019

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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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