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Debezium Blog

I am excited to announce the second maintenance release for the Debezium 3 release stream, 3.0.2.Final. This maintenance release introduces a number of features, let’s take a moment and dive into the highlights.

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After consulting with the community both inside and outside of Red Hat, we have made the decision to submit a request for the Debezium project to join the Commonhaus Foundation.

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The Debezium project is conducting our 2024 Community Feedback survey, and we want to hear from YOU!

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I am pleased to announce the first maintenance release for the Debezium 3 release stream, 3.0.1.Final. This maintenance release introduces several new features including support for Cassandra 5, PostgreSQL 17, and MySQL 9.1. In addition, there are some configuration improvements with Debezium Server supporting YAML.

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In today’s dynamic data environments, detecting and understanding data mutation patterns is critical for system reliability. In this blog post, we’ll explore how to use Debezium for comprehensive database activity logging and analysis in microservice architectures. We’ll delve into how Debezium captures row-level changes and streams them in real-time, enabling immediate visibility into database operations. By integrating with analytics tools, we’ll see how to build detailed activity dashboards that reveal the volume and nature of operations per table. These insights are invaluable for identifying unexpected patterns, such as a sudden drop in inserts caused by a new microservice deployment with a bug. You will learn how to set up Debezium, configure it for this specific use case, and utilize the generated data to create actionable dashboards.

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