Rachel Pedreschi's involvement in the open source community focuses primarily on Apache Druid, a real-time, high-performance datastore that provides fast, sub-second analytics and complements another powerful open source project as well: Apache Kafka®. Together, Kafka and Druid provide real-time event streaming and high-performance streaming analytics with powerful visualizations.

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.

Host Tim Berglund catches up with Cornelia Davis, author of Cloud-Native Patterns and VP of Technology at Pivotal, on what cloud-native patterns are, the example code she created, her latest book, and how she wrote the book for the customers she interacts with on a daily basis.

Vinoth Chandar and Gwen Shapira discuss what ksqlDB is, the kinds of applications that you can build with it, vulnerabilities, and various ksqlDB use cases. They also talk about what's currently the best version of Apache Kafka version for performance improvements that don’t cause breaking changes to existing Kafka configuration and functionality.

Kai Waehner defines machine learning in depth, describes the architecture of his dream machine learning pipeline, shares its relevance to Apache Kafka and the related ecosystem, and discusses the importance of security and fraud detection.