Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
A podcast by Confluent
270 Episodio
-  Real-Time Machine Learning and Smarter AI with Data StreamingPubblicato: 05/01/2023
-  The Present and Future of Stream ProcessingPubblicato: 28/12/2022
-  Top 6 Worst Apache Kafka JIRA BugsPubblicato: 21/12/2022
-  Learn How Stream-Processing Works The Simplest Way PossiblePubblicato: 20/12/2022
-  Building and Designing Events and Event Streams with Apache KafkaPubblicato: 15/12/2022
-  Rethinking Apache Kafka Security and Account ManagementPubblicato: 08/12/2022
-  Real-time Threat Detection Using Machine Learning and Apache KafkaPubblicato: 29/11/2022
-  Improving Apache Kafka Scalability and Elasticity with Tiered StoragePubblicato: 22/11/2022
-  Decoupling with Event-Driven ArchitecturePubblicato: 15/11/2022
-  If Streaming Is the Answer, Why Are We Still Doing Batch?Pubblicato: 09/11/2022
-  Security for Real-Time Data Stream Processing with Confluent CloudPubblicato: 03/11/2022
-  Running Apache Kafka in ProductionPubblicato: 27/10/2022
-  Build a Real Time AI Data Platform with Apache KafkaPubblicato: 20/10/2022
-  Optimizing Apache JVMs for Apache KafkaPubblicato: 13/10/2022
-  Apache Kafka 3.3 - KRaft, Kafka Core, Streams, & Connect UpdatesPubblicato: 03/10/2022
-  Application Data Streaming with Apache Kafka and SwimPubblicato: 03/10/2022
-  International Podcast Day - Apache Kafka Edition | Streaming Audio SpecialPubblicato: 30/09/2022
-  How to Build a Reactive Event Streaming App - Coding in MotionPubblicato: 20/09/2022
-  Real-Time Stream Processing, Monitoring, and Analytics With Apache KafkaPubblicato: 15/09/2022
-  Reddit Sentiment Analysis with Apache Kafka-Based MicroservicesPubblicato: 08/09/2022
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.
