Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
En podcast af Confluent
269 Episoder
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The Present and Future of Stream Processing
Udgivet: 28.12.2022 -
Top 6 Worst Apache Kafka JIRA Bugs
Udgivet: 21.12.2022 -
Learn How Stream-Processing Works The Simplest Way Possible
Udgivet: 20.12.2022 -
Building and Designing Events and Event Streams with Apache Kafka
Udgivet: 15.12.2022 -
Rethinking Apache Kafka Security and Account Management
Udgivet: 8.12.2022 -
Real-time Threat Detection Using Machine Learning and Apache Kafka
Udgivet: 29.11.2022 -
Improving Apache Kafka Scalability and Elasticity with Tiered Storage
Udgivet: 22.11.2022 -
Decoupling with Event-Driven Architecture
Udgivet: 15.11.2022 -
If Streaming Is the Answer, Why Are We Still Doing Batch?
Udgivet: 9.11.2022 -
Security for Real-Time Data Stream Processing with Confluent Cloud
Udgivet: 3.11.2022 -
Running Apache Kafka in Production
Udgivet: 27.10.2022 -
Build a Real Time AI Data Platform with Apache Kafka
Udgivet: 20.10.2022 -
Optimizing Apache JVMs for Apache Kafka
Udgivet: 13.10.2022 -
Apache Kafka 3.3 - KRaft, Kafka Core, Streams, & Connect Updates
Udgivet: 3.10.2022 -
Application Data Streaming with Apache Kafka and Swim
Udgivet: 3.10.2022 -
International Podcast Day - Apache Kafka Edition | Streaming Audio Special
Udgivet: 30.9.2022 -
How to Build a Reactive Event Streaming App - Coding in Motion
Udgivet: 20.9.2022 -
Real-Time Stream Processing, Monitoring, and Analytics With Apache Kafka
Udgivet: 15.9.2022 -
Reddit Sentiment Analysis with Apache Kafka-Based Microservices
Udgivet: 8.9.2022 -
Capacity Planning Your Apache Kafka Cluster
Udgivet: 30.8.2022
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.
