Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
Jakub Korab discusses what professional services actually is and how it relates to customer success. It all centers around what customers want to do, and you’ll hear about trends, Kafka use cases, and real-life examples of professional services in action within various industries over the last year.
Apache Kafka 2.4 includes new Kafka Core developments and improvements to Kafka Streams and Kafka Connect, including MirrorMaker 2.0, RocksDB metrics, and more.
In today's spooktacular episode of Streaming Audio, Anna McDonald discusses six of the scariest Apache Kafka® JIRAs.
Gwen Shapira outlines KIP-402, which aims to improve fairness in how Apache Kafka® processes connections and how network threads pick up requests and new data. She also shares about her team’s efforts to make user-facing Kafka improvements.
Todd Palino talks about the start of Apache Kafka® at LinkedIn, what learning to use Kafka was like, how Kafka has changed, and what he and others in the community hope for in the future of Kafka.
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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