Featured Posts

Tags
analytics announcement announcement discussion survey apache kafka apache kafka apicurio avro aws batch caassandra camel cassandra cdc channels community community stories connectors containers cqrs custom datalake db2 ddd debezium debezium server debezium ui deduplication discussion docker elasticsearch event sourcing exactly once semantics example examples features fedora flink hiring ibmi iceberg images informix integration introduction jaeger jdbc json kafka kafka streams kafka streams kogito ksql kubernetes lakehouse machine learning mariadb metrics microservices mongo mongodb monitoring mysql news newsletter notifications online learning operator oracle outbox performance postgres presentation production quarkus questdb rds releases schema scylla secrets sentry serialization signaling smt snapshots spanner spark sql sqlserver tensorflow testcontainers tests time series timescaledb topics tracing transactions ui vagrant vitess website

Debezium Blog

We’re happy to announce that Debezium 0.4.1 is now available for use with Kafka Connect 0.10.1.1. This release includes several fixes for the MongoDB connector and MySQL connector, including improved support for Amazon RDS and Amazon Aurora (MySQL compatibility). See the release notes for specifics on these changes.

We’ve also updated the Debezium Docker images labelled 0.4 and latest, which we use in our tutorial.

Thanks to Jan, Horia, David, Josh, Johan, Sanjay, Saulius, and everyone in the community for their help with this release, issues, discussions, contributions, and questions!

Read More    

This post originally appeared on the WePay Engineering blog.

Change data capture has been around for a while, but some recent developments in technology have given it new life. Notably, using Kafka as a backbone to stream your database data in realtime has become increasingly common.

If you’re wondering why you might want to stream database changes into Kafka, I highly suggest reading The Hardest Part About Microservices: Your Data. At WePay, we wanted to integrate our microservices and downstream datastores with each other, so every system could get access to the data that it needed. We use Kafka as our data integration layer, so we needed a way to get our database data into it.

Last year, Yelp’s engineering team published an excellent series of posts on their data pipeline. These included a discussion on how they stream MySQL data into Kafka. Their architecture involves a series of homegrown pieces of software to accomplish the task, notably schematizer and MySQL streamer. The write-up triggered a thoughtful post on Debezium’s blog about a proposed equivalent architecture using Kafka connect, Debezium, and Confluent’s schema registry. This proposed architecture is what we’ve been implementing at WePay, and this post describes how we leverage Debezium and Kafka connect to stream our MySQL databases into Kafka.

Read More    

With the recent Debezium release, we’re happy to announce that a new PostgreSQL connector has been added alongside the already existing MySQL and MongoDB connectors.

Read More    

We’re happy to announce that Debezium 0.4.0 is now available for use with Kafka Connect 0.10.1.1. This release introduces a new PostgreSQL connector, and contains over a dozen fixes combined for the MongoDB connector and MySQL connector, including preliminar support for Amazon RDS and Amazon Aurora (MySQL compatibility). See the release notes for specifics on these changes.

We’ve also created Debezium Docker images labelled 0.4 and latest, which we use in our tutorial.

Thanks to Horia, Chris, Akshath, Ramesh, Matthias, Anton, Sagi, barton, and others for their help with this release, issues, discussions, contributions, and questions!

Read More    

We’re happy to announce that Debezium 0.3.6 is now available for use with Kafka Connect 0.10.0.1. This release contains over a dozen fixes combined for the MySQL connector and MongoDB connectors. See the release notes for specifics on these changes.

We’ve also updated the Debezium Docker images labelled 0.3 and latest, which we use in our tutorial.

Thanks to Farid, RenZhu, Dongjun, Anton, Chris, Dennis, Sharaf, Rodrigo, Tim, and others for their help with this release, issues, discussions, contributions, and questions!

Read More