Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
Ein Podcast von Confluent
270 Folgen
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Capacity Planning Your Apache Kafka Cluster
Vom: 30.8.2022 -
Streaming Real-Time Sporting Analytics for World Table Tennis
Vom: 25.8.2022 -
Real-Time Event Distribution with Data Mesh
Vom: 18.8.2022 -
Apache Kafka Security Best Practices
Vom: 11.8.2022 -
What Could Go Wrong with a Kafka JDBC Connector?
Vom: 4.8.2022 -
Apache Kafka Networking with Confluent Cloud
Vom: 28.7.2022 -
Event-Driven Systems and Agile Operations
Vom: 21.7.2022 -
Streaming Analytics and Real-Time Signal Processing with Apache Kafka
Vom: 14.7.2022 -
Blockchain Data Integration with Apache Kafka
Vom: 7.7.2022 -
Automating Multi-Cloud Apache Kafka Cluster Rollouts
Vom: 30.6.2022 -
Common Apache Kafka Mistakes to Avoid
Vom: 23.6.2022 -
Tips For Writing Abstracts and Speaking at Conferences
Vom: 16.6.2022 -
How I Became a Developer Advocate
Vom: 9.6.2022 -
Data Mesh Architecture: A Modern Distributed Data Model
Vom: 2.6.2022 -
Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools
Vom: 26.5.2022 -
Practical Data Pipeline: Build a Plant Monitoring System with ksqlDB
Vom: 19.5.2022 -
Apache Kafka 3.2 - New Features & Improvements
Vom: 17.5.2022 -
Scaling Apache Kafka Clusters on Confluent Cloud ft. Ajit Yagaty and Aashish Kohli
Vom: 11.5.2022 -
Streaming Analytics on 50M Events Per Day with Confluent Cloud at Picnic
Vom: 5.5.2022 -
Build a Data Streaming App with Apache Kafka and JS - Coding in Motion
Vom: 3.5.2022
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.
