What’s Next for the Streaming Audio Podcast ft. Kris Jenkins

Meet your new host of the Streaming Audio podcast: Kris Jenkins (Senior Developer Advocate, Confluent)! In this preview, Kris shares a few highlights from forthcoming episodes to look forward to, spanning topics from data mesh, cloud-native technologies, and serverless Apache Kafka®, to data modeling. As a developer advocate, Kris is endlessly fascinated about software design, functional programming, real-time systems, and electronic music. He is a veteran software developer and engineer, with a broad background from roles such as CTO of a Java/Oracle gold exchange and contract developer of several Haskell/PureScript-based event systems.There is still a raft of data streaming narratives to tell and many community experts to feature. We’ll cover what’s new and emerging, real-life Kafka use cases, and how people are currently using managed Kafka as a service, as well as the latest in the data streaming spaceIf there’s a subject you’d like to see covered on the show or if you know someone who should be featured, let us know via the Confluent Community engagement form. EPISODE LINKSGet involved in the Confluent CommunitySubscribe on Apple PodcastSubscribe on SpotifySubscribe on AndroidListen and Subscribe on PodLinkWatch the video version of this podcastJoin the Confluent CommunityLearn more with Kafka tutorials, resources, and guides at Confluent DeveloperLive demo: Intro to Event-Driven Microservices with ConfluentUse PODCAST100 to get an additional $100 of free Confluent Cloud usage (details)

Om Podcasten

Streaming Audio features all things Apache Kafka®, Confluent, real-time data, and the cloud. We cover frequently asked questions, best practices, and use cases from the Kafka community—from Kafka connectors and distributed systems, to data mesh, data integration, modern data architectures, and data mesh built with Confluent and cloud Kafka as a service. Join our hosts as they stream through a series of interviews, stories, and use cases with guests from the data streaming industry. Apache®️, Apache Kafka, Kafka, and the Kafka logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by The Apache Software Foundation is implied by the use of these marks.