Debezium Blog
The Debezium UI team continues to add support for more features, allowing users to configure connectors more easily. In this article, we’ll describe and demonstrate how to provide the additional properties for configuration that the UI does not expose by default. Read further for more information!
The Debezium UI team continues to add support for more features, allowing users to more easily configure connectors. In this article, we’ll describe and demonstrate the UI support for topic automatic creation. Read further for more information, including a video demo!
The Debezium UI team is pleased to announce support for Single Message Transformations (SMTs) in the Debezium UI!
Our goal with the Debezium graphical user interface is to allow users to set up and operate connectors more easily. To that end, we have added support for Kafka Connect single message transformations to the UI. Read futher for more information, and for a video demo of the new feature!
We are pleased to announce the first official release of the Debezium graphical user interface!
As announced a few months back, our team has been working on a Debezium UI proof-of-concept. The goal of the PoC was to explore ways in which a graphical UI could facilitate the getting started and operational experience of Debezium users.
Debezium is very flexible - each connector can be configured and fine-tuned in a variety of ways. It provides metrics which give the user insight into the state of the running Debezium connectors, allowing the customer to safely operate CDC pipelines in huge installations with thousands of connectors. This flexibility, however, comes with a learning curve for the user to understand all of the different settings and options.
To that end, we have produced a UI which will allow users to set up and operate connectors more easily. The UI is now available as part of the Debezium releases for our community!
Over the last five years, Debezium has become a leading open-source solution for change data capture for a variety of databases. Users from all kinds of industries work with Debezium for use cases like replication of data from operational databases into data warehouses, updating caches and search indexes, driving streaming queries via Kafka Streams or Apache Flink, synchronizing data between microservices, and many more.
When talking to Debezium users, we generally receive very good feedback on the range of applications enabled by Debezium and its flexibility: e.g. each connector can be configured and fine-tuned in many ways, depending on your specific requirements. A large number of metrics provide deep insight into the state of running Debezium connectors, allowing to safely operate CDC pipelines also in huge installations with thousands of connectors.
All this comes at the cost of a learning curve, though: users new to Debezium need to understand the different options and settings as well as learn about best practices for running Debezium in production. We’re therefore constantly exploring how the user experience of Debezium can be further improved, allowing people to set up and operate its connectors more easily.
