Change Data Streaming Patterns With Debezium & Apache Flink | Decodable
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- Опубликовано: 26 авг 2024
- ABOUT THE TALK:
Microservices are one of the big trends in software engineering of the last few years.
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.
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, the strangler fig pattern and Apache Flink
- 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.
ABOUT THE SPEAKER:
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 (morling.dev) and has spoken at a wide range of conferences like QCon, Java One, and Devoxx. He lives in Hamburg, Germany.
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If someone can explain to me how you’re supposed to do a major version DB upgrade with a Debezium connector. It’s such an unbelievable pain that it’s a total dealbreaker. Unless I’m missing something
What is throughput limitation of embedded debezium?
Barely any.