About Corey QuinnOver the course of my career, I’ve worn many different hats in the tech world: systems administrator, systems engineer, director of technical operations, and director of DevOps, to name a few. Today, I’m a cloud economist at The Duckbill Group, the author of the weekly Last Week in AWS newsletter, and the host of two podcasts: Screaming in the Cloud and, you guessed it, AWS Morning Brief, which you’re about to listen to.Links
A Cloud Guru Blog post, Lift and Shift Shot Clock: https://acloudguru.com/blog/engineering/the-lift-and-shift-shot-clock-cloud-migration 
The Duckbill Group: https://www.duckbillgroup.com/

TranscriptCorey: This episode is sponsored in part by Catchpoint. Look, 80 percent of performance and availability issues don’t occur within your application code in your data center itself. It occurs well outside those boundaries, so it’s difficult to understand what’s actually happening. What Catchpoint does is makes it easier for enterprises to detect, identify, and of course, validate how reachable their application is, and of course, how happy their users are. It helps you get visibility into reachability, availability, performance, reliability, and of course, absorbency, because we’ll throw that one in, too. And it’s used by a bunch of interesting companies you may have heard of, like, you know, Google, Verizon, Oracle—but don’t hold that against them—and many more. To learn more, visit www.catchpoint.com, and tell them Corey sent you; wait for the wince.Pete: Hello, and welcome to the AWS Morning Brief: Whiteboard Confessional. I am again Pete Cheslock, not Corey Quinn. He is still out, so you're stuck with me for the time being. But not just me because I am pleased to have Jesse DeRose join me again today. Welcome back, Jesse.Jesse: Thanks again for having me.Pete: So, we are taking this podcast down a slightly different approach. If you've listened to the last few that Jessie and I have ran while Corey has been gone, we've been focusing on kind of deep-diving into some interesting, in some cases, new Amazon services. But today, we're actually not talking about any specific Amazon service. We're talking about another topic we're both very passionate about. And it's something we see a lot with our clients, at The Duckbill Group is people treating the Cloud like a data center. And what we know is that the Cloud, Amazon, these are not just data centers, and if you treat it like one, you're not actually going to save any money, you're not going to get any of the benefits out of it. And so there's an impact that these companies will face when they choose between something like cloud-native versus cloud-agnostic or a hybrid-cloud model as they adopt cloud services. So, let's start with a definition of each one. Jessie, can you help me out on this?Jesse: Absolutely. So, a lot of companies today are cloud-native. They focus primarily on one of the major cloud providers when they initially start their business, and they leverage whatever cloud-native offerings are available within that cloud provider, rather than leveraging a data center. So, they pay for things like AWS Lambda, or Azure Functions, or whatever cloud offering Google's about to shut down next, rather than paying for a data center, rather than investing in physical hardware and spinning up virtual machines, they focus specifically on the cloud-native offerings available to them within their cloud provider.Whereas cloud-agnostic is usually leveraged by organizations that already use data centers so they're harder pressed to immediately migrate to the Cloud, the ROI is murkier, and there's definitely sunk costs involved. So, in some cases, they focus on the cloud-agnostic model where they leverage their own data centers, and cloud providers equally so that compute resources run virtual servers, no matter where they are. Effectively, all they're looking for is some kind of compute resources to run all their virtual servers, whether that is in