Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
Un podcast de Confluent
267 Épisodes
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Ben Stopford on Microservices and Event Streaming
Publié: 08/04/2019 -
Magnus Edenhill on librdkafka 1.0
Publié: 03/04/2019 -
Ask Confluent #11: More Services, More Metrics, More Fun
Publié: 26/03/2019 -
It’s Time for Streaming to Have a Maturity Model ft. Nick Dearden
Publié: 18/03/2019 -
Containerized Apache Kafka On Kubernetes with Viktor Gamov
Publié: 11/03/2019 -
Catch Your Bus with KSQL: A Stream Processing Recipe by Leslie Kurt
Publié: 04/03/2019 -
KTable Update Suppression (and a Bunch About KTables) ft. John Roesler
Publié: 27/02/2019 -
Splitting and Routing Events with KSQL ft. Pascal Vantrepote
Publié: 25/02/2019 -
Ask Confluent #10: Cooperative Rebalances for Kafka Connect ft. Konstantine Karantasis
Publié: 20/02/2019 -
The Future of Serverless and Streaming with Neil Avery
Publié: 14/02/2019 -
Using Terraform and Confluent Cloud with Ricardo Ferreira
Publié: 23/01/2019 -
Ask Confluent #9: With and Without ZooKeeper
Publié: 08/01/2019 -
Ask Confluent #8: Guozhang Wang on Kafka Streams Standby Tasks
Publié: 18/12/2018 -
Ask Confluent #7: Kafka Consumers and Streams Failover Explained ft. Matthias Sax
Publié: 03/12/2018 -
Ask Confluent #6: Kafka, Partitions, and Exactly Once ft. Jason Gustafson
Publié: 05/11/2018 -
Kafka Summit SF 2018 Panel | Microsoft, Slack, Confluent, University of Cambridge
Publié: 18/10/2018 -
Kafka Streams in Action with Bill Bejeck
Publié: 27/09/2018 -
Joins in KSQL 5.0 with Hojjat Jafarpour
Publié: 20/09/2018 -
Ask Confluent #5: Kafka, KSQL and Viktor Gamov
Publié: 10/09/2018 -
KSQL Use Cases with Nick Dearden
Publié: 06/09/2018
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.