Ep 410 - Why Data Movement Defines Hybrid & AI Success

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What challenges do enterprises face with data movement in hybrid and AI architectures?

Justin Parisi 0:00
Most people don't spend a lot of time thinking about how things are connected. I know I don't. But today, we brought in a guy who thinks about this stuff all the time, particularly where hybrid and private cloud use cases are concerned. Glenn Deckhazer joins us to discuss his role at Equinix, where everything is connected.
Unknown 0:19
Welcome to the Tech on Tap podcast. I love NetApp. I love NetApp because it's so fun.
Justin Parisi 0:32
I'm here in the basement of my house and with me today I have Glenn Deckhazer. So Glenn, what do you do and how do we reach you?
Glenn Dekheyser 0:37
Well, I'm in the basement of my house too.
Justin Parisi 0:39
Are you? Yeah, I am. Is it snowing where you are?
Glenn Dekheyser 0:42
It's cold. I don't know about snowing. It's definitely cold.
Justin Parisi 0:45
School closed for us because we're wimps.
Glenn Dekheyser 0:48
They open the schools longer when it's cold and snowy up here. So LinkedIn's where I'm doing most of my social stuff today. I am on Blue Sky, but LinkedIn's where I do most of my industry stuff.
Justin Parisi 0:58
Okay, excellent. So you work at a company called Equinix, and we've worked with them in the past with cloud partnerships and that sort of thing. So what exactly does Equinix do?
Glenn Dekheyser 1:08
Our tagline is the world's digital infrastructure company, right? We've got 276 data centers globally, all connected via Mixed Fabric, which is private digital interconnect. And we're kind of known not just for that, but also for our ability to connect customers to the clouds and resources that they need very, very quickly through Equinix Fabric or even through classic fiber cross-connects. Equinix houses some of the world's most critical ecosystems, financial ecosystems, healthcare, content delivery, hyperscale clouds. And just to give you guys an idea of the scale of where we sit, we like to say that 95% of all internet traffic around the world at some point in its life will traverse through an Equinix data center.
Glenn Dekheyser 1:51
So people don't realize how much they use us without knowing us. I like to say that If you pick up your iPhone and you turn it on, you open up an app, you've probably used this 10 times and didn't realize it. But we also happen to have a large amount of the cloud on-ramps. We were the first to have a cloud on-ramp through a direct connector at AWS. And NetApp and Equinix got started with that first relationship you were just Alluding to, I think it was back 2015 with NetApp Private Storage. So there was the idea I could put a physical NetApp close to the cloud, connected over this link, which at the time was maximum one gig a second. You could do over one gig a second, but they were doing it to do iSCSI connections to run virtual machines in the cloud and run them.
Glenn Dekheyser 2:31
but the data store is back over one gig. Like I said, it worked for the things it worked for. It was a great solution that was a little bit before its time. Consider now that we've got 100 gig connections to the cloud in local metros in some cases. You can make more by going direct, but the clouds typically put their switch infrastructure at Equinix to get close to the customers they want consuming. So a customer that has Equinix as their co-location, has their compute, has their storage, has their IT, core running at Equinix can connect to many clouds around the world, more than any other provider by a long shot, I'd say, by a factor of three or four. I don't know what it is these days. But you can connect there with very low latency, as low as you can get.
Glenn Dekheyser 3:17
Sometimes getting ping latencies from your physical presence to the virtual machine in the cloud lower than it would be from the virtual machine to the virtual storage in the same service. So you can get somewhat parity on latency and then you just got to worry about the throughput and then you can get a lot of really cool use cases, especially with AI and moving data around. We'll get to that, but you start to see why NetApp would be very interested in harnessing that power. given NetApp's supremacy in data motion. For a very long time, it's one of the things that I always exploited NetApp at great advantage for my customers, was getting data around in consistent ways that it could be used read-only, read-write, cloning, all the cool things you could do, and doing it efficiently with deduped and compressed SnapMirror or vaulting, or now FlexCaching has really become a big deal.

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