We really couldn't add any information to Sadhana Nandakumar's excellent walkthrough for capturing and propagating database changes using Red Hat AMQ Streams and Red Hat Fuse. She's done a terrific job of laying out the steps and guiding users through the process of setting up such a system on Red Hat OpenShift. From Sadhana's text:
The idea is to enable applications to respond almost immediately whenever there is a data change. We capture the changes as they occur using Debezium and stream it using Red Hat AMQ Streams. We then filter and transform the data using Red Hat Fuse and send it to Elasticsearch, where the data can be further analyzed or used by downstream systems.
Head on over to the Red Hat Developer Blog to read the full how-to, with instructions and links to everything you'll need.
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Red Hatter since 2018, technology historian and founder of The Museum of Art and Digital Entertainment. Two decades of journalism mixed with technology expertise, storytelling and oodles of computing experience from inception to ewaste recycling. I have taught or had my work used in classes at USF, SFSU, AAU, UC Law Hastings and Harvard Law.
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