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

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

In Camel 3.2.0 we’ll release the complete set of Camel AWS2 components. In Camel 3.1.0 we already have a bunch of AWS2 components living together with the original AWS components. The aim of this post is giving a full perspective of what will change for the end users and the roadmap for new features. New components Except camel-aws-xray, which is a particular component needing much more work to be migrated, all the original AWS components have been migrated to AWS SDK v2.

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CAMEL