Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
Ein Podcast von Confluent
270 Folgen
-  Optimizing Apache Kafka's Internals with Its Co-Creator Jun RaoVom: 28.4.2022
-  Using Event-Driven Design with Apache Kafka Streaming Applications ft. Bobby CalderwoodVom: 21.4.2022
-  Monitoring Extreme-Scale Apache Kafka Using eBPF at New RelicVom: 13.4.2022
-  Confluent Platform 7.1: New Features + UpdatesVom: 12.4.2022
-  Scaling an Apache Kafka Based Architecture at Therapie ClinicVom: 7.4.2022
-  Bridging Frontend and Backend with GraphQL and Apache Kafka ft. Gerard KlijsVom: 29.3.2022
-  Building Real-Time Data Governance at Scale with Apache Kafka ft. Tushar TholeVom: 22.3.2022
-  Handling 2 Million Apache Kafka Messages Per Second at HoneycombVom: 15.3.2022
-  Why Data Mesh? ft. Ben StopfordVom: 10.3.2022
-  Serverless Stream Processing with Apache Kafka ft. Bill BejeckVom: 3.3.2022
-  The Evolution of Apache Kafka: From In-House Infrastructure to Managed Cloud Service ft. Jay KrepsVom: 24.2.2022
-  What’s Next for the Streaming Audio Podcast ft. Kris JenkinsVom: 16.2.2022
-  On to the Next Chapter ft. Tim BerglundVom: 3.2.2022
-  Intro to Event Sourcing with Apache Kafka ft. Anna McDonaldVom: 1.2.2022
-  Expanding Apache Kafka Multi-Tenancy for Cloud-Native Systems ft. Anna Povzner and Anastasia VelaVom: 27.1.2022
-  Apache Kafka 3.1 - Overview of Latest Features, Updates, and KIPsVom: 24.1.2022
-  Optimizing Cloud-Native Apache Kafka Performance ft. Alok Nikhil and Adithya ChandraVom: 20.1.2022
-  From Batch to Real-Time: Tips for Streaming Data Pipelines with Apache Kafka ft. Danica FineVom: 13.1.2022
-  Real-Time Change Data Capture and Data Integration with Apache Kafka and QlikVom: 6.1.2022
-  Modernizing Banking Architectures with Apache Kafka ft. Fotios FilacourisVom: 28.12.2021
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.
 
 