Gunnar Morling's guest appearances

Gunnar Morling

The InfoQ Podcast

Streaming Audio: Apache Kafka® & Real-Time Data

A Bootiful Podcast

Real-Time Analytics with Tim Berglund

Zhamak Dehghani

Chris Richardson

Pat Helland

Sam Newman

Kelsey Hightower

Bryan Liles

Lin Clark

Cathy O'Neil

Mike Lee

Michael Feathers

Kent Beck

Arun Gupta

Cornelia Davis

Anastasiia Voitova

David Wells

OwlTail

Follow: https://stree.ai/podcast | Sub: https://stree.ai/sub | New episodes every Monday! Mr. Debezium (also known as Gunnar Morling, Software Engineer at Decodable) has been in the business of open source for a long time. While working with Debezium at Red Hat for the better part of a decade, he’s seen how all sorts of technologies integrate together and which to use in a variety of use cases. In this episode, Tim talks to Gunnar about his new role at Decodable, if it’s really a “Pinot vs Flink” world we’re living in, and when to utilize a variety of streaming technologies.ABOUT THE PODCASTFrom StarTree, the original creators of Apache Pinot, "Real-Time Analytics with Tim Berglund" is a podcast dedicated to bringing analytics from the dashboard to the user interface. Accessible but technically rich, the show focuses on the infrastructure, tools, and techniques being developed by the people building the systems that are serving analytics to our users in real-time. New episodes every Monday. Follow on Spotify, Apple, Google, etc at https://stree.ai/podcast

Follow: <a href="https://stree.ai/podcast" rel="nofollow" target="_blank">https://stree.ai/podcast</a> | Sub: <a href="https://stree.ai/sub" rel="nofollow" target="_blank">https://stree.ai/sub</a> | New episodes every Monday! Mr. Debezium (also known as Gunnar Morling, Software Engineer at Decodable) has been in the business of open source for a long time. While working with Debezium at Red Hat for the better part of a decade, he’s seen how all sorts of technologies integrate together and which to use in a variety of use cases. In this episode, Tim talks to Gunnar about his new role at Decodable, if it’s really a “Pinot vs Flink” world we’re living in, and when to utilize a variety of streaming technologies. ABOUT THE PODCAST From StarTree, the original creators of Apache Pinot, "Real-Time Analytics with Tim Berglund" is a podcast dedicated to bringing analytics from the dashboard to the user interface. Accessible but technically rich, the show focuses on the infrastructure, tools, and techniques being developed by the people building the systems that are serving analytics to our users in real-time. New episodes every Monday. Follow on Spotify, Apple, Google, etc at <a href="https://stree.ai/podcast" rel="nofollow" target="_blank">https://stree.ai/podcast</a>

Mr. Debezium on Pinot, Flink, CDC & Decodable | Ep. 4: Gunnar Morling

Today, on The InfoQ Podcast, Wes Reisz talks with Gunnar Morling. Gunnar is a software engineer at RedHat and leads the Debezium project. Debezium is an open-source distributed platform for change data capture (CDC). On the show, the two discuss the project and many of its use cases. Additionally, topics covered on the podcast include bootstrapping, configuration, challenges, debugging, and operational modes. The show wraps with long term strategic goals for the project.Why listen to this podcast: - CDC is a set of software design patterns used to react to changing data in a data store. Used for things like internal changelogs, integrations, replication, and event streaming, CDC can be implemented leveraging queries or against the DB transaction log. Debezium leverages the transaction log to implement CDC and is extremely performant. - Debezium has mature source and sink connectors for MySQL, SQL Server, and MongoDB. In addition, there are Incumbating connectors for Cassandra, Oracle, and DB2. Community sink connectors have been created for ElasticSearch. - In a standard deployment, Debezium leverages a Kafka cluster by deploying connectors into Kafka Connect. The connectors establish a connection to the source database and then write changes to a Kafka topic.  - Debezium can be run in embedded mode. Embedded mode imports Java library into your own project and leverages callbacks for change events. The library approach allows Debezium implementations against other tools like AWS Kinesis or Azure's Event Hub. Going forward, there are plans to make a ready-made Debezium runtime.    - Out of the box, Debezium has a one-to-one mapping between tables and Kafka topic queues. The default approach exposes the internal table structure to the outside. One approach to address exposing DB internals is to leverage the Outbox Pattern. The Outbox Pattern uses a separate outbox table as a source. Inserts into your normal business logic tables also make writes to the outbox. Change events are then published to Kafka from the outbox source table.More on this: Quick scan our curated show notes on InfoQ https://bit.ly/3737GZBYou can also subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. bit.ly/24x3IVqSubscribe: www.youtube.com/infoqLike InfoQ on Facebook: bit.ly/2jmlyG8Follow on Twitter: twitter.com/InfoQFollow on LinkedIn: www.linkedin.com/company/infoqCheck the landing page on InfoQ: https://bit.ly/3737GZB

Today, on The InfoQ Podcast, Wes Reisz talks with Gunnar Morling. Gunnar is a software engineer at RedHat and leads the Debezium project. Debezium is an open-source distributed platform for change data capture (CDC). On the show, the two discuss the project and many of its use cases. Additionally, topics covered on the podcast include bootstrapping, configuration, challenges, debugging, and operational modes. The show wraps with long term strategic goals for the project. Why listen to this podcast: - CDC is a set of software design patterns used to react to changing data in a data store. Used for things like internal changelogs, integrations, replication, and event streaming, CDC can be implemented leveraging queries or against the DB transaction log. Debezium leverages the transaction log to implement CDC and is extremely performant. - Debezium has mature source and sink connectors for MySQL, SQL Server, and MongoDB. In addition, there are Incumbating connectors for Cassandra, Oracle, and DB2. Community sink connectors have been created for ElasticSearch. - In a standard deployment, Debezium leverages a Kafka cluster by deploying connectors into Kafka Connect. The connectors establish a connection to the source database and then write changes to a Kafka topic. - Debezium can be run in embedded mode. Embedded mode imports Java library into your own project and leverages callbacks for change events. The library approach allows Debezium implementations against other tools like AWS Kinesis or Azure's Event Hub. Going forward, there are plans to make a ready-made Debezium runtime. - Out of the box, Debezium has a one-to-one mapping between tables and Kafka topic queues. The default approach exposes the internal table structure to the outside. One approach to address exposing DB internals is to leverage the Outbox Pattern. The Outbox Pattern uses a separate outbox table as a source. Inserts into your normal business logic tables also make writes to the outbox. Change events are then published to Kafka from the outbox source table. More on this: Quick scan our curated show notes on InfoQ <a href="https://bit.ly/3737GZB" rel="nofollow" target="_blank">https://bit.ly/3737GZB</a> You can also subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. <a href="http://bit.ly/24x3IVq" rel="nofollow" target="_blank">bit.ly/24x3IVq</a> Subscribe: <a href="http://www.youtube.com/infoq" rel="nofollow" target="_blank">www.youtube.com/infoq</a> Like InfoQ on Facebook: <a href="http://bit.ly/2jmlyG8" rel="nofollow" target="_blank">bit.ly/2jmlyG8</a> Follow on Twitter: <a href="http://twitter.com/InfoQ" rel="nofollow" target="_blank">twitter.com/InfoQ</a> Follow on LinkedIn: <a href="http://www.linkedin.com/company/infoq" rel="nofollow" target="_blank">www.linkedin.com/company/infoq</a> Check the landing page on InfoQ: <a href="https://bit.ly/3737GZB" rel="nofollow" target="_blank">https://bit.ly/3737GZB</a>

Gunnar Morling on Change Data Capture and Debezium

Friends don’t let friends do dual writes! Gunnar Morling (Software Engineer, Red Hat) joins us on the podcast to share a little bit about what Debezium is, how it works, and which databases it supports. In addition to covering the various use cases and benefits from change data capture (CDC) in the context of microservices—touching on the outbox pattern in particular, Gunnar walks us through the advantages of log-based CDC as implemented through Debezium over polling-based approaches, why you’d want to avoid dual writes to multiple resources, and engaging with members from the community to work collaboratively on Debezium.EPISODE LINKSJoin us in Confluent Community Slack

Friends don’t let friends do dual writes! Gunnar Morling (Software Engineer, Red Hat) joins us on the podcast to share a little bit about what Debezium is, how it works, and which databases it supports.  In addition to covering the various use cases and benefits from change data capture (CDC) in the context of microservices—touching on the outbox pattern in particular, Gunnar walks us through the advantages of log-based CDC as implemented through Debezium over polling-based approaches, why you’d want to avoid dual writes to multiple resources, and engaging with members from the community to work collaboratively on Debezium. EPISODE LINKS<ul><li><a href="https://cnfl.io/confluent-community-slack" rel="nofollow" target="_blank">Join us in Confluent Community Slack</a></li></ul>

Change Data Capture with Debezium ft. Gunnar Morling