Change Data Capture (CDC) is a well-established software design pattern for a system that monitors and captures data changes, so that other software can respond to those events. Using a CDC engine like Debezium along with Camel integration framework, we can easily build data pipelines to bridge traditional data stores and new cloud-native event-driven architectures. The advantages of CDC comparing to a simple poll-based or query-based process are: All changes captured: intermediary changes (updates, deletes) between two runs of the poll loop may be missed.

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USECASES

The Apache Camel community is pleased to announce the first release (0.1.0) of Camel-Kafka-connector project. This release is an early opportunity for the community to try the project and share feedback about usage of the autogenerated connectors as well as features ideas and use cases for the next development iterations. The project provides a tiny integration layer between camel and kafka connect frameworks and generate one kafka connector for each existing camel component.

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RELEASES

Today I continue me practice on youtube and recorded a 10 minute video on creating a new Camel and Quarkus project that includes Rest and HTTP services with health checks and metrics out of the box. Then comparing the memory usage of running the example in JVM mode vs native compiled with GraalVM. Then showing for the finale how to quickly run 100 instances of the example each on their own TCP port and how quick Camel are to startup and service the first requests faster than you can type and click.

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CAMEL QUARKUS