Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
With a virtual private cloud (VPC)—your own private network in the cloud that you can launch your own instances into—you can secure your cloud infrastructure and minimize the threat of potential attackers with VPC Peering, connecting VPCs together to create a path between them to keep your data safe and accessible to you alone.
What's the difference between a hosted solution and a managed solution? What about a partially managed solution versus a fully managed one? Ricardo Ferreira breaks down what a managed Kafka service truly means and why every developer should care.
Lena Hall joins Tim Berglund in the studio to talk about Apache Kafka, the various ways to run Kafka on Microsoft Azure, Kafka on Kubernetes (K8s), and some exciting events that are happening in the Kafka world.
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.
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 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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