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February 16, 2022 | Episode 200

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

  • Transcript
  • Notes

Kris Jenkins:

Hello. You're listening to the Streaming Audio podcast, and for those of you wondering what's happened to Tim Berglund's accent. The sad news is that he's moved on to try something new. Tim, we look forward to seeing what comes next. Good luck. But the show must go on. Right? The spice must flow. The data remains in motion. There's still a raft of event streaming stories to tell and industry experts to chat with about Apache Kafka, real-time systems, stream processing, cloud-native architectures, event modeling, loads of things. We've got conversations to have about the technologies that enable all those things, and the businesses being transformed by them. Some of those conversations I've already had the privilege to record.

Guest 1:

Exactly. That was the thing when I first heard it, I was like-

Kris Jenkins:

Yeah.

Guest 1:

... "What do you mean serverless?"

Guest 2:

You think about this way that this system was two years ago, and you're like, "Oh, gosh. This would've been scary." Right?

Guest 3:

We shifted away from thinking about time as sort of... Yeah. And the narrative, the story as the fundamental construct of our records, and we started thinking about the data model. We started-

Guest 4:

The data mesh approach takes a third approach, which is to say, there is no protocol, we're just getting raw data.

Guest 5:

So, the data pipeline, what we did is that, okay, we started from that pipeline. We knew that in the backlog we had this tech deck to remove, and we wanted to move the pipeline into Kafka. So, what we did is that-

Kris Jenkins:

So, I'm your new host, Kris Jenkins. If you are a new listener, welcome. And if you're a long time listener, I hope you'll welcome me to Streaming Audio. Subscribe to us on your podcasting app of choice or on YouTube, and you'll be notified when there's a new event on the topic of Kafka. Yes, I went with that pun. No, I'm not ashamed of myself.

Kris Jenkins:

You'll find us at developer.confluent.io. If you're a beginner, we have getting started guides. And if you're more advanced, there are blog posts, recipes, in depth courses, architectural patterns, all sorts. If you take one of our courses, you can follow along easily by setting up a complement cloud account. And if you do that, make sure you register with the code PODCAST100, and we'll give you a hundred dollars of extra free credit.

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 space

If 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

Continue Listening

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.

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 203March 10, 2022 | 44 min

Why Data Mesh? ft. Ben Stopford

With experience in data infrastructure and distributed data technologies, author of the book “Designing Event-Driven Systems” Ben Stopford (Lead Technologist, Office of the CTO, Confluent) explains the data mesh paradigm, differences between traditional data warehouses and microservices, as well as how you can get started with data mesh.

Got questions?

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.

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