Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
A podcast by Confluent
267 Episodes
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Learn How Stream-Processing Works The Simplest Way Possible
Published: 12/20/2022 -
Building and Designing Events and Event Streams with Apache Kafka
Published: 12/15/2022 -
Rethinking Apache Kafka Security and Account Management
Published: 12/8/2022 -
Real-time Threat Detection Using Machine Learning and Apache Kafka
Published: 11/29/2022 -
Improving Apache Kafka Scalability and Elasticity with Tiered Storage
Published: 11/22/2022 -
Decoupling with Event-Driven Architecture
Published: 11/15/2022 -
If Streaming Is the Answer, Why Are We Still Doing Batch?
Published: 11/9/2022 -
Security for Real-Time Data Stream Processing with Confluent Cloud
Published: 11/3/2022 -
Running Apache Kafka in Production
Published: 10/27/2022 -
Build a Real Time AI Data Platform with Apache Kafka
Published: 10/20/2022 -
Optimizing Apache JVMs for Apache Kafka
Published: 10/13/2022 -
Apache Kafka 3.3 - KRaft, Kafka Core, Streams, & Connect Updates
Published: 10/3/2022 -
Application Data Streaming with Apache Kafka and Swim
Published: 10/3/2022 -
International Podcast Day - Apache Kafka Edition | Streaming Audio Special
Published: 9/30/2022 -
How to Build a Reactive Event Streaming App - Coding in Motion
Published: 9/20/2022 -
Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka
Published: 9/15/2022 -
Reddit Sentiment Analysis with Apache Kafka-Based Microservices
Published: 9/8/2022 -
Capacity Planning Your Apache Kafka Cluster
Published: 8/30/2022 -
Streaming Real-Time Sporting Analytics for World Table Tennis
Published: 8/25/2022 -
Real-Time Event Distribution with Data Mesh
Published: 8/18/2022
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.