Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
A podcast by Confluent
267 Episodes
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Teaching Apache Kafka Online with Stéphane Maarek
Published: 8/19/2019 -
Connecting Apache Cassandra to Apache Kafka with Jeff Carpenter from DataStax
Published: 8/12/2019 -
Transparent GDPR Encryption with David Jacot
Published: 8/8/2019 -
Confluent Platform 5.3 | What's New in This Release
Published: 7/31/2019 -
How to Convert Python Batch Jobs into Kafka Streams Applications with Rishi Dhanaraj
Published: 7/29/2019 -
Ask Confluent #14: In Control of Kafka with Dan Norwood
Published: 7/22/2019 -
Kafka in Action with Dylan Scott
Published: 7/15/2019 -
Change Data Capture with Debezium ft. Gunnar Morling
Published: 7/10/2019 -
Distributed Systems Engineering with Apache Kafka ft. Jason Gustafson
Published: 7/2/2019 -
Apache Kafka 2.3 | What's New in This Release + Updates and KIPs
Published: 6/25/2019 -
Rolling Kafka Upgrades and Confluent Cloud ft. Gwen Shapira
Published: 6/25/2019 -
Deploying Confluent Platform, from Zero to Hero ft. Mitch Henderson
Published: 6/18/2019 -
Why Kafka Connect? ft. Robin Moffatt
Published: 6/12/2019 -
Schema Registry Made Simple by Confluent Cloud ft. Magesh Nandakumar
Published: 6/3/2019 -
Why is Stream Processing Hard? ft. Michael Drogalis
Published: 5/29/2019 -
Testing Kafka Streams Applications with Viktor Gamov
Published: 5/20/2019 -
Chris Riccomini on the History of Apache Kafka and Stream Processing
Published: 5/16/2019 -
Ask Confluent #13: Machine Learning with Kai Waehner
Published: 5/8/2019 -
Diving into Exactly Once Semantics with Guozhang Wang
Published: 4/22/2019 -
Ask Confluent #12: In Search of the Lost Offsets
Published: 4/17/2019
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.