Microservices are one of the big trends in software engineering of the last few years; organising business functionality in several self-contained, loosely coupled services helps teams to work efficiently, make the most suitable technical decisions, and react quickly to new business requirements.
In this session we'll discuss and showcase how open-source change data capture (CDC) with Debezium can help developers with typical challenges they often face when working on microservices. Come and join us to learn how to:
- Employ the outbox pattern for reliable, eventually consistent data exchange between microservices, without incurring unsafe dual writes or tight coupling
- Gradually extract microservices from existing monolithic applications, using CDC and the strangler fig pattern
- Coordinate long-running business transactions across multiple services using CDC-based saga orchestration, ensuring such activity gets consistently applied or aborted by all participating services.
プレゼンター
Gunnar Morling
Gunnar Morling is a software engineer and open-source enthusiast by heart, currently working at Decodable on stream processing based on Apache Flink. In his prior role as a software engineer at Red Hat, he led the Debezium project, a distributed platform for change data capture. He is a Java Champion and has founded multiple open source projects such as JfrUnit, kcctl, and MapStruct. Gunnar is an avid blogger and has spoken at a wide range of conferences like QCon, Java One, and Devoxx.
プレゼンター
Hans-Peter Grahsl
Hans-Peter Grahsl is a Developer Advocate at Red Hat. He is an open-source community enthusiast and in particular passionate about event-driven architectures, distributed stream processing systems and data engineering. For his code contributions, conference talks and blog post writing at the intersection of the Apache Kafka and MongoDB communities, Hans-Peter received multiple community recognition awards. He is a regular speaker at international tech-related and developer conferences for several years.