Q Very cool. Thank you. Um, in the, in the stack, um, so all of this is real time. What have you found to be particularly, uh, working particularly well for real time? I thought there was a little bit of spark. Is that where you guys are going or any, any, I guess, any lessons learned around what works, what doesn't for something that where real time is particularly critical?
A Um, I think the, um, We're, ok, so Spark is relatively new to us. We are starting to operate on, ah, you know, event analytics, you know, all these actions at the end. Our first step was really to send them off to Omniture or to Site Catalyst, Adobe Site Catalyst, or Google Analytics, where most of our customers want the data. Um, we're, we're going to generate eighty billion plus Events a month. So it's a large amount. So we're just getting going on that part of it. Now in terms of the broader question, you know, what, what lessons learned in build, in building, ah, real-time experiences, um, I think the, um, thing that life, so I've been at Live Fire two years. Live Fire is about a six-year-old company. It's actually the first company I've joined since, ah, leaving college, and I'm not a kid. Right? So, um, um, so this was a very interesting company to join, and I think the problem that they'd really figured out is at every moment how to, uh, how, how to deliver that experience in, in the browser. So it took a lot of polyfilling and, and hacking in various ways at the very beginning, uh, but whatever they've done, or whatever we've done, and what we continue to do, You know, shows up for everybody in a shrinking amount of time, and so, uh, that's, that's sort of, to me, been very interesting. Real time is real time, right? What it takes to do real time is real time itself, an…
AI assessment note: “Spark is relatively new to us. We are starting to operate on”