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Ardan Labs Podcast

Data, Innovation, and Passion with Catherine Johnson

Ardan Labs Podcast

Bill Kennedy

Ardanlabs, Golang, Computer Science, Technology, Tech, Kubernetes, Go Time Podcast, Ardan Labs, Docker, Tech Careers, Education, Bill Kennedy, Engineering

57 Ratings

🗓️ 19 November 2025

⏱️ 85 minutes

🧾️ Download transcript

Summary

In this episode of the Ardan Labs Podcast, Bill Kennedy talks with Catherine Johnson, VP of Global Solutions Engineering at Hydrolix, about her career journey through data management, scalability, and innovation. With a background spanning leadership roles at Hydrolix, Grafana Labs, and Oracle, Catherine shares insights into balancing engineering, entrepreneurship, and mentorship. She discusses the evolution of real-time data systems, the economics of storage, and the importance of data-drive...

Transcript

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0:00.0

Welcome to the Art Labs podcast. Our special guest today is Catherine Johnson. Catherine,

0:24.2

thank you for joining us today. Yeah, it's great to be here.

0:27.5

All right. Give everybody the two-minute spiel on what you're doing today and leave it today.

0:33.9

Don't, don't. I'm going to put you in the time machine at some point so I don't want to

0:38.0

sort of leak that out so just like really what you're working on today so I am at

0:45.0

hydraulics is a probably the best way to think about it is a massively scalable data

0:51.7

platform and I run the solutions Engineering team for hydraulics globally.

0:57.1

And so what we do is we work with customers to figure out the best fit for our technology

1:03.7

and the problems that they're trying to solve. So we want to understand what problem they're

1:09.0

specifically addressing, not just technical, but what's the value

1:12.1

of solving that technical problem? And then figure out if there's a good match between what we provide

1:18.4

as a company and what our customer is trying to solve. So I just jumped on the website. That is

1:24.8

h-d-r-o-l-I-------------------------------------------------------------------------------------------------------------- because logging data is some of the most, what would I say?

1:44.5

Like, expensive and almost unused at some level, right?

1:48.1

Because you only really look at it if there's a problem at some point.

1:52.4

That's your first message on the homepage.

1:54.7

Nice.

1:55.8

Okay.

1:56.4

So I think we've had some other companies here that like focused on big I mean when I think data

2:03.6

nowadays and I don't really live in this space but when I think data I think not like

2:07.9

Databricks like it's that name is just constantly coming up and I've never used it is that

2:13.2

like a competitor is that no dataicks is more of an analytics platform.

...

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