Streaming changes from your datastore enables you to solve multiple challenges: synchronizing data between microservices, maintaining different read models in a CQRS-style architecture, updating caches and full-text indexes, and feeding operational data to your analytics tools.
Join this session to learn what change data capture (CDC) is about and how it can be implemented using Debezium, an open-source CDC solution based on Apache Kafka. Find out how Debezium captures all the changes from datastores such as MySQL, PostgreSQL and MongoDB, how to react to the change events in near real time, and how Debezium is designed to not compromise on data correctness and completeness also if things go wrong.
In a live-demo session based on top of Red Hat’s OpenShift platform we’ll show how to set up a change data stream to any downstream consumers, without any code changes needed.