Streaming Audio: A Confluent Podcast about Apache Kafka

Rishi Dhanaraj worked at Zenreach as an intern and took on a big pile of Python batch jobs, turning them into some really interesting Kafka Streams code. Listen in as he walks us through how he did it.

Is Apache Kafka® actually a database? Can you install Confluent Control Center on Google Cloud Platform (GCP)? All this, plus some tips from Dan Norwood, the first user of Kafka Streams.

Author Dylan Scott tells all about his upcoming Manning title Kafka in Action, which shares how Apache Kafka® can be used by beginners who are just starting out their own projects. It also dispels common Hadoop-related myths, as Kafka has grown to become a powerful event streaming platform beyond big data ecosystems alone.

Gunnar Morling shares a little bit about what Debezium is, how it works, and which databases it supports. In addition to covering the various use cases and benefits from change data capture in the context of microservices, Gunnar walks us through the advantages of log-based CDC as implemented through Debezium over polling-based approaches, why you’d want to avoid dual writes to multiple resources, and working collaboratively with the community on Debezium.

Jason Gustafson dives into the challenges of working on distributed systems, particularly when it comes to a unique system like Apache Kafka. He also discusses ways in which Confluent is working with the community to solve active problems, and what it takes to be a distributed systems engineer.