270 Folgen

  1. How to Measure the Business Value of Confluent Cloud ft. Lyndon Hedderly

    Vom: 27.7.2020

  2. Modernizing Inventory Management Technology ft. Sina Sojoodi and Rohit Kelapure

    Vom: 20.7.2020

  3. Fault Tolerance and High Availability in Kafka Streams and ksqlDB ft. Matthias J. Sax

    Vom: 15.7.2020

  4. Benchmarking Apache Kafka Latency at the 99th Percentile ft. Anna Povzner

    Vom: 8.7.2020

  5. Open Source Workflow Automation with Apache Kafka ft. Bernd Ruecker

    Vom: 29.6.2020

  6. Growing the Event Streaming Community During COVID-19 ft. Ale Murray

    Vom: 24.6.2020

  7. From Monolith to Microservices with Sam Newman

    Vom: 17.6.2020

  8. Exploring Event Streaming Use Cases with µKanren ft. Tim Baldridge

    Vom: 8.6.2020

  9. Introducing JSON and Protobuf Support ft. David Araujo and Tushar Thole

    Vom: 1.6.2020

  10. Scaling Apache Kafka in Retail with Microservices ft. Matt Simpson from Boden

    Vom: 27.5.2020

  11. Connecting Snowflake and Apache Kafka ft. Isaac Kunen

    Vom: 20.5.2020

  12. AMA with Tim Berglund | Streaming Audio Special

    Vom: 18.5.2020

  13. Kubernetes Meets Apache Kafka ft. Kelsey Hightower

    Vom: 13.5.2020

  14. Apache Kafka Fundamentals: The Concept of Streams and Tables ft. Michael Noll

    Vom: 4.5.2020

  15. IoT Integration and Real-Time Data Correlation with Kafka Connect and Kafka Streams ft. Kai Waehner

    Vom: 29.4.2020

  16. Confluent Platform 5.5 | What's New in This Release + Updates

    Vom: 24.4.2020

  17. Making Abstract Algebra Count in the World of Event Streaming ft. Sam Ritchie

    Vom: 22.4.2020

  18. Apache Kafka 2.5 – Overview of Latest Features, Updates, and KIPs

    Vom: 16.4.2020

  19. Streaming Data Integration – Where Development Meets Deployment ft. James Urquhart

    Vom: 15.4.2020

  20. How to Run Kafka Streams on Kubernetes ft. Viktor Gamov

    Vom: 6.4.2020

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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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