Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
En podkast av Confluent
270 Episoder
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Optimizing Apache Kafka's Internals with Its Co-Creator Jun Rao
Publisert: 28.4.2022 -
Using Event-Driven Design with Apache Kafka Streaming Applications ft. Bobby Calderwood
Publisert: 21.4.2022 -
Monitoring Extreme-Scale Apache Kafka Using eBPF at New Relic
Publisert: 13.4.2022 -
Confluent Platform 7.1: New Features + Updates
Publisert: 12.4.2022 -
Scaling an Apache Kafka Based Architecture at Therapie Clinic
Publisert: 7.4.2022 -
Bridging Frontend and Backend with GraphQL and Apache Kafka ft. Gerard Klijs
Publisert: 29.3.2022 -
Building Real-Time Data Governance at Scale with Apache Kafka ft. Tushar Thole
Publisert: 22.3.2022 -
Handling 2 Million Apache Kafka Messages Per Second at Honeycomb
Publisert: 15.3.2022 -
Why Data Mesh? ft. Ben Stopford
Publisert: 10.3.2022 -
Serverless Stream Processing with Apache Kafka ft. Bill Bejeck
Publisert: 3.3.2022 -
The Evolution of Apache Kafka: From In-House Infrastructure to Managed Cloud Service ft. Jay Kreps
Publisert: 24.2.2022 -
What’s Next for the Streaming Audio Podcast ft. Kris Jenkins
Publisert: 16.2.2022 -
On to the Next Chapter ft. Tim Berglund
Publisert: 3.2.2022 -
Intro to Event Sourcing with Apache Kafka ft. Anna McDonald
Publisert: 1.2.2022 -
Expanding Apache Kafka Multi-Tenancy for Cloud-Native Systems ft. Anna Povzner and Anastasia Vela
Publisert: 27.1.2022 -
Apache Kafka 3.1 - Overview of Latest Features, Updates, and KIPs
Publisert: 24.1.2022 -
Optimizing Cloud-Native Apache Kafka Performance ft. Alok Nikhil and Adithya Chandra
Publisert: 20.1.2022 -
From Batch to Real-Time: Tips for Streaming Data Pipelines with Apache Kafka ft. Danica Fine
Publisert: 13.1.2022 -
Real-Time Change Data Capture and Data Integration with Apache Kafka and Qlik
Publisert: 6.1.2022 -
Modernizing Banking Architectures with Apache Kafka ft. Fotios Filacouris
Publisert: 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.
