Links:Unconventional GuideTranscriptCorey: This episode is sponsored in part by LaunchDarkly. Take a look at what it takes to get your code into production. I’m going to just guess that it’s awful because it’s always awful. No one loves their deployment process. What if launching new features didn’t require you to do a full-on code and possibly infrastructure deploy? What if you could test on a small subset of users and then roll it back immediately if results aren’t what you expect? LaunchDarkly does exactly this. To learn more, visit launchdarkly.com and tell them Corey sent you, and watch for the wince.Pete: Hello, and welcome to the AWS Morning Brief: Fridays From the Field. I'm Pete Cheslock.Jesse: I'm Jesse DeRose.Pete: We're back again. Hashtag Triple F.Jesse: It's going to be a thing.Pete: We're still trying to make it a thing. Desperately trying to make it a thing. Otherwise, we're just going to look like fools, Jesse, if it's not a thing.Jesse: Oh now, I wouldn't want to look like a fool, you know, next to anybody else in my company.Pete: [laugh]. It definitely seems to be the one that trait you need to have to work at Duckbill is, to be okay looking like a fool. So, we are midway through the Unconventional Guide to AWS Cost Optimizations, cost savings. And we have been sharing a link on pretty much if not all of these recordings where you can send us feedback. And you can send us questions. And someone finally sent us a question. I think people are listening out there, Jesse. Isn't that great? Jesse: We have one follower. Yay.Pete: It's amazing. So, we are really happy that someone asked us a question. You can be the next person to ask us a question by going into lastweekinaws.com/QA. That's not our quality assurance site for testing, new branding things, and new products. QA is for ‘question and answer.’ So, go there, check it out, drop in a message, you can put your name there or not, it's totally fine. But this first question—well, first, I need to actually, I need to admit something. I'm lying right now. This question actually came in months ago. We saw it and thought that was a great question, we should answer it at some point. And then we forgot about it. So we're bringing it back up again, and I think it's relevant so I don't feel too bad about it.Jesse: Yeah, we saw this question around the time that we started recording the entire Unconventional Guide series. And apologies to this listener. This is a very good question. We want to talk about it, so we are talking about it today. But it took a little bit of a time for us to get to this. Pete: But you know what? We made it. We're here.Jesse: We’re here.Pete: We're here. So, Nick Moore asked this great question. He said, “Hey, Pete and Jesse. Very much enjoying your Friday segment on the Morning Brief.” Thank you very much for that. “If possible, I'd like to hear you talk about your experiences with cost optimization for quote, ‘big data’ projects in the cloud, i.e. Using platforms like Hadoop to process large and complex data, either using pass—like, EMR or [IS 00:03:03]. Is this something that your customers ask about often/at all? And how do or would you approach it? Thanks, again.” Well, hey, this is a truly awesome question. And at a high level, many of our clients actually are pretty heavy users of various Amazon services for their, kind of, big data needs. And big data, it's all relative, right? I mean, to some companies, big data is in the hundreds of terabytes, to other companies it's in the hundreds of petabytes. It's totally relative, but at the end of the day, it's going to be a challenge, no matter how big of a company you are. Your big data challenges are always a challenge.Jesse: You've got some kind of data science or data analytics work that you want to do with large data sets. That may be large datasets comparatively to the work that you're doing; that may be large data sets comparatively to the industry. Doesn't matter. Either way, it is big