February 3, 2022 | Episode 199

On to the Next Chapter ft. Tim Berglund

  • Transcript
  • Notes

After nearly 200 podcast episodes of Streaming Audio, Tim Berglund bids farewell in his last episode as host of the show. 

Tim reflects on the many great memories with guests who have appeared on the segment—and each for its own reasons. He has covered a wide variety of topics, ranging from Apache Kafka® fundamentals, microservices, event stream processing, use cases, to cloud-native Kafka, data mesh, and more. 

As Tim mentions, the Streaming Audio podcast will continue on to explore all things about Kafka and the cloud while featuring new voices and topics. You can subscribe to the Streaming Audio podcast on your podcast platform of choice to get the latest updates and news. Thank you for listening and stay tuned. 

Continue Listening

Episode 200February 16, 2022 | 2 min

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.

Episode 201March 3, 2022 | 42 min

Serverless Stream Processing with Apache Kafka ft. Bill Bejeck

What is serverless? Having worked as a software engineer for over 15 years and as a regular contributor to Kafka Streams, Bill Bejeck (Integration Architect, Confluent) is an Apache Kafka committer and author of “Kafka Streams in Action.” In today’s episode, he explains what serverless and the architectural concepts behind it are.

Episode 201February 24, 2022 | 46 min

The Evolution of Apache Kafka: From In-House Infrastructure to Managed Cloud Service ft. Jay Kreps

When it comes to Apache Kafka, there’s no one better to tell the story than Jay Kreps (Co-Founder and CEO, Confluent), one of the original creators of Kafka. In this episode, he talks about the evolution of Kafka from in-house infrastructure to a managed cloud service and discusses what’s next for infrastructure engineers who used to self-manage the workload.

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