Join Kris Jenkins and guests from the community as they discuss the latest Apache Kafka® news, use cases, and trends spanning the topics of data streaming, microservices, modern IT architectures, and the cloud.
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.
Payments leverages Confluent Cloud to help banks of all sizes transform to real-time banking services from traditionally batch-oriented, bankers’ hours operational mode. This is achieved through Apache Kafka® and the Kafka Streams and Kafka Connect APIs from Clojure using functional programming paradigms like transducers.
Kris Jenkins is a senior developer advocate for Confluent, a veteran contractor, and former CTO and co-founder of a gold-trading business. He's especially interested in software design, functional programming, real-time systems, and electronic music.
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.Email Us