Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
Gunnar Morling shares 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 in the context of microservices, 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 working collaboratively with the community on Debezium.
Jason Gustafson dives into the challenges of working on distributed systems, particularly when it comes to a unique system like Apache Kafka. He also discusses ways in which Confluent is working with the community to solve active problems, and what it takes to be a distributed systems engineer.
Tim Berglund (Senior Director of Developer Experience, Confluent) explains the Kafka Improvement Proposals (KIPs) and what’s new in Apache Kafka 2.3.
If you operate a Kafka cluster, hopefully you upgrade your brokers occasionally. Well, what if you have to do it with hundreds or thousands of brokers, such as you’d have to do if you were running Confluent Cloud? Today, Gwen Shapira shares some of the lessons she’s learned doing just that.
Mitch Henderson explains how to plan and deploy your first application running on Confluent Platform. He covers critical factors to consider, how to make decisions about deployment solutions, how to go about setting up monitoring and testing, the marks of success, and what to do after your first project launches successfully.
Tim Berglund is a teacher, author, and technology leader with Confluent, where he serves as the senior director of developer advocacy. He can frequently be found at speaking at conferences in the U.S. and all over the world. Tim is the co-presenter of various O'Reilly training videos on topics ranging from Git to distributed systems, and he is the author of "Gradle Beyond the Basics." He lives in Littleton, CO, U.S., with the wife of his youth.
Gwen Shapira is an engineering leader at Confluent. She has over 15 years of experience working with code and customers to build scalable data architectures, integrating relational and big data technologies. Gwen is the author of "Kafka: The Definitive Guide" and "Hadoop Application Architectures." Gwen is a frequent presenter at industry conferences, a PMC member on the Apache Kafka project, and a committer on Apache Sqoop™. When Gwen isn't building data pipelines or thinking up new features, you can find her pedaling on her bike exploring the roads and trails of California, and beyond.
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