Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
A podcast by Confluent
267 Episodes
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Apache Kafka Security Best Practices
Published: 8/11/2022 -
What Could Go Wrong with a Kafka JDBC Connector?
Published: 8/4/2022 -
Apache Kafka Networking with Confluent Cloud
Published: 7/28/2022 -
Event-Driven Systems and Agile Operations
Published: 7/21/2022 -
Streaming Analytics and Real-Time Signal Processing with Apache Kafka
Published: 7/14/2022 -
Blockchain Data Integration with Apache Kafka
Published: 7/7/2022 -
Automating Multi-Cloud Apache Kafka Cluster Rollouts
Published: 6/30/2022 -
Common Apache Kafka Mistakes to Avoid
Published: 6/23/2022 -
Tips For Writing Abstracts and Speaking at Conferences
Published: 6/16/2022 -
How I Became a Developer Advocate
Published: 6/9/2022 -
Data Mesh Architecture: A Modern Distributed Data Model
Published: 6/2/2022 -
Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools
Published: 5/26/2022 -
Practical Data Pipeline: Build a Plant Monitoring System with ksqlDB
Published: 5/19/2022 -
Apache Kafka 3.2 - New Features & Improvements
Published: 5/17/2022 -
Scaling Apache Kafka Clusters on Confluent Cloud ft. Ajit Yagaty and Aashish Kohli
Published: 5/11/2022 -
Streaming Analytics on 50M Events Per Day with Confluent Cloud at Picnic
Published: 5/5/2022 -
Build a Data Streaming App with Apache Kafka and JS - Coding in Motion
Published: 5/3/2022 -
Optimizing Apache Kafka's Internals with Its Co-Creator Jun Rao
Published: 4/28/2022 -
Using Event-Driven Design with Apache Kafka Streaming Applications ft. Bobby Calderwood
Published: 4/21/2022 -
Monitoring Extreme-Scale Apache Kafka Using eBPF at New Relic
Published: 4/13/2022
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.