The PRQL: Event-Driven Applications: Where Low Latency Meets High Impact with Apurva Mehta of Responsive

Eric Dodds 00:05
Welcome to The Data Stack Show PRQL. This is a short bonus episode where we preview the upcoming show, you’ll get to meet our guests and hear about the topics we’re going to cover. If they’re interesting to you, you can catch the full length show when it drops on Wednesday. We are here with the Apurva from Responsive and we are so excited to chat about many topics today. event based applications and all the infrastructure both underneath in on top of them to run them. So a perfect, thank you so much for joining us on the show today.

Apurva Mehta 00:42
Great, thank you for having me excited to be here.

Eric Dodds 00:46
Give us just your brief background, you spent a lot of time in the world of streaming, or you’re a multi time entrepreneur, but give us the story. How did you get into the world of streaming?

Apurva Mehta 00:56
Yeah, thanks. No, yeah, I have a close that exposed. I mean, I was at LinkedIn, you know, like, I’ve been at LinkedIn content, and now I’m doing responsive, but I got exposed to streaming at LinkedIn, you know, the SAMSA job back in the day. And, you know, through LinkedIn got to know the founders of confluent Murata concerned, worked in Kafka and Kafka case, equal Kafka streams for years, basically, and you know, responsive continues the line, we’re building a platform to manage these event driven applications in the cloud. And yep, so it began at LinkedIn, I would say 2013

Kostas Pardalis 01:32
That so some profile GitHub, a couple of actually have many questions, that’s, I’d like to ask you, hopefully, we’ll have the time like to go through all of that stuff. But some of like, the high level topics that I’m really interesting in those, like, first of all, I’d love to hear from you, like, what is Kafka? And what are other technology indoor as a protocol, or as a standard may probably, and what’s happening with, like, the products that are built around it. And the next thing that is like, very interesting is and inspired from what you’re doing, like today about developer experience and like, things around like Kafka streams, right? Like, what’s, what it means like to build why we want to build things with Kafka streams writes, and what can be done better for the engineers out there that they are using Kafka streams and Kafka, obviously, to work with that. So that’s like, few of the things that I’d love to get deeper into, like, but how about you? What are some things that you’re excited about, like discussing today? Yeah, all

Apurva Mehta 02:45
of that sounds, and those are all topics and very passionate about, I think it’s good to tell the story that like, what you said Kafka as a tech standard as a technology, the differentiation there, I think, I will also say, talking a bit about like, this world on top of Kafka, right, like stream processing, I think is a very overloaded word. Many use cases, many different ways to slice that space up, right? Many different technologies in that space. You know, I think, talking about the space itself, and how, you know, how me sharing my point of view on how to think about it, and then maybe getting into Kafka streams and like, how the technologies differ with a focus on Kafka streams, I think would be a very interesting, I think, an educational conversation, you know, so that I’m excited about doing that. Yeah.

Kostas Pardalis 03:34
100% And let’s do it’s, what do you think, Eric?

Eric Dodds 03:38
Yeah, let’s do again. This is gonna be great. All right. That’s a wrap for the prequel. The full length episode will drop Wednesday morning. Subscribe now so you don’t miss it.