Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
Un podcast de Confluent
267 Épisodes
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Domain-Driven Design and Apache Kafka with Paul Rayner
Publié: 18/03/2020 -
Machine Learning with TensorFlow and Apache Kafka ft. Chris Mattmann
Publié: 11/03/2020 -
Distributed Systems Engineering with Apache Kafka ft. Gwen Shapira
Publié: 04/03/2020 -
Towards Successful Apache Kafka Implementations ft. Jakub Korab
Publié: 26/02/2020 -
Knative 101: Kubernetes and Serverless Explained with Jacques Chester
Publié: 19/02/2020 -
Paving a Data Highway with Kafka Connect ft. Liz Bennett
Publié: 12/02/2020 -
Distributed Systems Engineering with Apache Kafka ft. Jun Rao
Publié: 05/02/2020 -
How to Write a Successful Conference Abstract | Streaming Audio Special
Publié: 04/02/2020 -
Streaming Call of Duty at Activision with Apache Kafka ft. Yaroslav Tkachenko
Publié: 27/01/2020 -
Confluent Platform 5.4 | What's New in This Release + Updates
Publié: 22/01/2020 -
Making Apache Kafka Connectors for the Cloud ft. Magesh Nandakumar
Publié: 13/01/2020 -
Location Data and Geofencing with Apache Kafka ft. Guido Schmutz
Publié: 08/01/2020 -
Multi-Cloud Monitoring and Observability with the Metrics API ft. Dustin Cote
Publié: 30/12/2019 -
Apache Kafka and Apache Druid – The Perfect Pair ft. Rachel Pedreschi
Publié: 23/12/2019 -
Apache Kafka 2.4 – Overview of Latest Features, Updates, and KIPs
Publié: 16/12/2019 -
Cloud-Native Patterns with Cornelia Davis
Publié: 16/12/2019 -
Ask Confluent #16: ksqlDB Edition
Publié: 12/12/2019 -
Machine Learning with Kafka Streams, Kafka Connect, and ksqlDB ft. Kai Waehner
Publié: 04/12/2019 -
Real-Time Payments with Clojure and Apache Kafka ft. Bobby Calderwood
Publié: 27/11/2019 -
Announcing ksqlDB ft. Jay Kreps
Publié: 20/11/2019
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.