Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov
A podcast by Confluent
270 Episoade
-
Capacity Planning Your Apache Kafka Cluster
Publicat: 30.08.2022 -
Streaming Real-Time Sporting Analytics for World Table Tennis
Publicat: 25.08.2022 -
Real-Time Event Distribution with Data Mesh
Publicat: 18.08.2022 -
Apache Kafka Security Best Practices
Publicat: 11.08.2022 -
What Could Go Wrong with a Kafka JDBC Connector?
Publicat: 04.08.2022 -
Apache Kafka Networking with Confluent Cloud
Publicat: 28.07.2022 -
Event-Driven Systems and Agile Operations
Publicat: 21.07.2022 -
Streaming Analytics and Real-Time Signal Processing with Apache Kafka
Publicat: 14.07.2022 -
Blockchain Data Integration with Apache Kafka
Publicat: 07.07.2022 -
Automating Multi-Cloud Apache Kafka Cluster Rollouts
Publicat: 30.06.2022 -
Common Apache Kafka Mistakes to Avoid
Publicat: 23.06.2022 -
Tips For Writing Abstracts and Speaking at Conferences
Publicat: 16.06.2022 -
How I Became a Developer Advocate
Publicat: 09.06.2022 -
Data Mesh Architecture: A Modern Distributed Data Model
Publicat: 02.06.2022 -
Flink vs Kafka Streams/ksqlDB: Comparing Stream Processing Tools
Publicat: 26.05.2022 -
Practical Data Pipeline: Build a Plant Monitoring System with ksqlDB
Publicat: 19.05.2022 -
Apache Kafka 3.2 - New Features & Improvements
Publicat: 17.05.2022 -
Scaling Apache Kafka Clusters on Confluent Cloud ft. Ajit Yagaty and Aashish Kohli
Publicat: 11.05.2022 -
Streaming Analytics on 50M Events Per Day with Confluent Cloud at Picnic
Publicat: 05.05.2022 -
Build a Data Streaming App with Apache Kafka and JS - Coding in Motion
Publicat: 03.05.2022
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.
