Listen to Tim Berglund, Gwen Shapira, and guests unpack a variety of topics surrounding Apache Kafka®, Confluent, real-time data streaming, and the cloud.
It’s Halloween again, which means Anna McDonald (Staff Technical Account Manager, Confluent) is back for another spooktacular episode of Streaming Audio. In this episode, Anna shares six of the most spine-chilling, hair-raising Kafka JIRAs from the past year.
Neil Buesing, an Apache Kafka community stalwart at Object Partners, discusses the concept of a CoE (center of excellence), and how a CoE is integral to attain and sustain world-class performance, business value, and success in a business.
Apache Kafka 2.6 is out! This release includes progress toward adding client quota APIs to the admin client, exposing disk read and write metrics, and support for Java 14, in addition to Kafka Connect and Kafka Streams updates.
The five components of latency are produce time, publish time, commit time, catch-up time, and fetch time. When consumer pulling adds to latency, Anna Povzner shares some best practices to keep in mind for how to think about partitioning in conjunction with latency. She also discusses client configuration in the cloud, interesting problems she's helped solve for customers, and her top two tips for debugging latency.
Apache Kafka® 2.5 is here, and we’ve got some Kafka Improvement Proposals (KIPs) to discuss! Tim Berglund shares improvements and changes to over 10 KIPs all within the realm of Core Kafka, Kafka Connect, and Kafka Streams, including foundational improvements to exactly-once semantics, the ability to track a connector’s active topics, and adding a new co-group operator to the Streams DSL.
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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