Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
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 and Robin cover the motivating factors for Kafka Connect, why people end up reinventing the wheel when they're not aware of it and Kafka Connect's capabilities. They also talk about the importance of schemas in Apache Kafka® pipelines and programs, and how the Confluent Schema Registry can help.
Tim Berglund and Magesh Nandakumar discuss why schemas matter for building systems on Apache Kafka®, and how Confluent Schema Registry helps with the problem. They talk about how Schema Registry works, how you can collaborate around schema change through `avsc` files, and what it means for this to be available in Confluent Cloud today.
Tim Berglund and Michael Drogalis talk about all things stream processing: why it’s complex, how it has evolved, and what’s on the horizon to make it simpler.
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.
If there's something you want to know about Apache Kafka, Confluent or event streaming, please send us an email with your question and we'll hope to answer it on the next episode of Ask Confluent.
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