“Debezium (noun | de·be·zi·um | /dɪ:ˈbɪ:ziːəm/) – secret ingredient for change data capture” Updating caches and full-text indexes, synchronizing data between microservices, maintaining different read models in a CRQS-style architecture, and feeding operational data to your analytics tools — just a few use cases which benefit so much from streaming […]
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Hear from Christian Posta, Principal Architect, Red Hat, in this breakout session at Red Hat Summit 2017. One of the tenants of microservices, and a way to minimize dependencies, is that “a service should own its database.” This is easier said than done. Why? Because: your data. In working with […]
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Apache Kafka is an open-source stream-processing software platform developed by the Apache Software Foundation, written in Scala and Java. The project aims to provide a unified, high-throughput, low-latency platform for real-time data feeds. It is horizontally scalable, fault-tolerant, and speedy. The core concepts of Kafka are: Some limitations of Kafka […]
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