Yeah.

Give 'em a little shout-out here.

Uh, got an opportunity to come down here, do an internship.

Uh, my daughter was born two weeks to the day before I started my internship, so that was a pretty cool deal.

Unfortunately, leaving her and coming down here was pretty tough, but got put with a pretty good group of people that, you know, gave me a great opportunity, and pushed for me to get hired on full time.

So finished up my last semester of school, came down here.

That was, uh, 2008.

[laughs]

What do you think fundamentally changes when the workloads start to push data infrastructure in ways that start to test that reliability you need every single day?

You know, so what really fundamentally I think changes here is the infrastructure stops being this background assumption and it actually has to be part of the product conversation.

And in our case, you know, our workload was not simply this huge data volume.

You know, this wasn't data late.

This is very, very high frequency, you know, small, maybe 4K messages at times, highly transactional and fan out, you know, very one to many.

We might have one transaction coming in and it fans out to 30.

And these are all very small, very, you know, extremely sensitive, sensitive to latency, So we actually, we end up dealing with millions to tens of millions of these type of messages a day.

But how does that start to affect this new way of thinking on infrastructure and your data that you've created for these environments?