Change data capture pipelines with Debezium and Kafka Streams

Day 2 /  / Track 3  /  EN

Change data capture (CDC) via Debezium is liberation for your data: by capturing changes from the log files of the database, it enables a wide range of use cases such as reliable microservices data exchange, the creation of audit logs, invalidating caches, and much more.

In this talk, we're taking CDC to the next level by exploring the benefits of integrating Debezium with streaming queries via Kafka Streams. Come and join us to learn:

  • how to run low-latency streaming queries on your operational data;
  • how to enrich audit logs with application-provided metadata;
  • how to materialize aggregate views based on multiple change data streams, ensuring transactional boundaries of the source database.

We'll also explore how to leverage the Quarkus stack for running your Kafka Streams applications on the JVM, as well as natively via GraalVM, many goodies included, such as its live coding feature for instant feedback during development, health checks, metrics, and more.


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Speakers

Gunnar Morling
Red Hat

Gunnar Morling is a software engineer and open-source enthusiast by heart. He is leading the Debezium project, a tool for change data capture (CDC). He is a Java Champion, the spec lead for Bean Validation 2.0 (JSR 380) and has founded multiple open source projects such as Deptective and MapStruct. Prior to joining Red Hat, Gunnar worked on a wide range of Java EE projects in the logistics and retail industries. He's based in Hamburg, Germany.

Invited Experts

Dmitry Aleksandrov
Oracle

Co-leader of the Bulgarian Java User Group. In addition to work, Dmitry performs talks at conferences. Organizer of jPrime.io Conference — largest Java conference in Balkans.

List of his main interests includes dynamic languages on JVM (Nashorn project) and Java EE, as well as all Spring Framework's infrastructure. He is into experimental Java projects.