Welcome to the first edition of the Debezium community newsletter in which we share blog posts, group discussions, as well as StackOverflow questions that are relevant to our user community.
Gunnar Morling recently attended Kafka Summit in London where he gave a talk on Change Data Streaming Patterns for Microservices With Debezium. You can watch the full presentation here.
Strimzi provides an easy way to run Apache Kafka on Kubernetes or Openshift. This article by Sincy Sebastian shows just how simple it is to replicate change events from MySQL to Elastic Search using Debezium.
Debezium allows replicating data between heterogeneous data stores with ease. This article by Matthew Groves explains how you can replicate data from MySQL to CouchBase.
As the size of data that systems maintain continues to grow, this begins to impact how we capture, compute, and report real-time analytics. This article by Maria Patterson explains how you can use Debezium to stream data from Postgres, perform analytical calculations using KSQL, and then stream those results back to Postgres for consumption.
In a recent article published in Portuguese, Paulo Singaretti illustrates how they use Debezium and Kafka to stream changes from their relational database and then store the change stream results in Google Cloud Services.
This recent blog by Jia Zhai provides a complete tutorial showing how to use Debezium connectors with Apache Pulsar.
Time to upgrade
Debezium version 0.9.5 was just released. If you are using the 0.9 branch you should definitely check out 0.9.5. For details on the bug fixes as well as the enhancements this version includes, check out the release notes.
Questions and answers
We intend to publish new additions of this newsletter periodically. Should anyone have any suggestions on changes or what could be highlighted here, we welcome that feedback. You can reach out to us via any of our community channels found here.
Debezium is an open source distributed platform that turns your existing databases into event streams, so applications can see and respond almost instantly to each committed row-level change in the databases. Debezium is built on top of Kafka and provides Kafka Connect compatible connectors that monitor specific database management systems. Debezium records the history of data changes in Kafka logs, so your application can be stopped and restarted at any time and can easily consume all of the events it missed while it was not running, ensuring that all events are processed correctly and completely. Debezium is open source under the Apache License, Version 2.0.
We hope you find Debezium interesting and useful, and want to give it a try. Follow us on Twitter @debezium, chat with us on Gitter, or join our mailing list to talk with the community. All of the code is open source on GitHub, so build the code locally and help us improve ours existing connectors and add even more connectors. If you find problems or have ideas how we can improve Debezium, please let us know or log an issue.