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