Streaming Audio: a Confluent podcast about Apache Kafka

Change Data Capture with Debezium ft. Gunnar Morling

July 10, 2019 Season 1 Episode 41
Streaming Audio: a Confluent podcast about Apache Kafka
Change Data Capture with Debezium ft. Gunnar Morling
Chapters
Streaming Audio: a Confluent podcast about Apache Kafka
Change Data Capture with Debezium ft. Gunnar Morling
Jul 10, 2019 Season 1 Episode 41
Confluent, original creators of Apache Kafka®
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.
Show Notes

Friends don’t let friends do dual writes! Gunnar Morling (Software Engineer, Red Hat) joins us on the podcast to share 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 (CDC) in the context of microservices—touching on the outbox pattern in particular, 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 engaging with members from the community to work collaboratively on Debezium.

EPISODE LINKS