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Today on Insights. We go back to a conversation Host Bill Russell had with Charles Boicey the Chief Innovation Officer at Clearsense. The topic of discussion was Rearchitecture and Hyperconverged Infrastructure. And Bill asks Charles to give us the nitty gritty.


Hello and welcome to another episode of Insights. My name is Bill Russell. I'm a former CIO for a 16 hospital system ???? and creator of This Weekin Health IT. A channel dedicated to keeping health IT staff current and engaged. Our hope is that these episodes serve as a resource for the advancement of your career and the continued success of your team. Now onto the ???? show.

Today on Insights. We go back to a conversation host Bill Russell had with Charles Boicey, the Chief Innovation Officer at Clearsense. The topic of discussion was rearchitecture and hyper-converged infrastructure. And Bill asks Charles to give us the nitty gritty.

One of the things that's always shocked me when I talked to you. Is, how rearchitecting a platform gives you the ability to really cut down on the number of people that needs to support a significantly large set of servers and storage and equipment. So, you know, what are some things we can do in data center ops?

Sure. It's a combination of basically hardware as well as a combination, a different skill set, if you will, as well as monitoring, you know, monitoring everything. And I'll kind of get into that in a bit.

Yeah, we unfortunately got to get into the tech Bill. There's no way I'm going to be able to get away from that. So you know, bringing on a, what's called a hyperconverged infrastructure, and that is the ability to actually from a storage perspective and from a compute perspective, actually use that which is needed. And from a storage perspective in particular, to be able to scale out as needed with low cost commodity, equipment. Even the introduction of low cost SSDs and so forth. So you're really distributing from a storage perspective. You're using what you need no more than that, but you're architected as such that you kind of keep yourself, future proof that you can expand upon that. And even in the introduction on the compute side, to be able to scale, you know, on CPU, on, on Ram and if you're now into a data science, rich environment, a GPU introduction. That's at the base bare metal level. And if you think of a hyperconverged, on top of that, we're now, I'm not going to mention vendor names, but you know, now we have the ability to, in the same environment, a bare metal servers, virtual machines, which everybody's familiar with as we move more into a containerized environment and our client and our vendors are moving that way. And then even furthered advanced for a serverless environment.

So this sets us up for two potentials. One is, I talked about future proofing. As emerging technologies come in, this is the environment for them. Let's go, you know, if you want to go into it now, we can, you mentioned earlier, this sets us up for a hybrid, for potential of a cloud environment. And if you want to go there, we'll go there. But this is really setting you up for that eventuality.

So everything is, is software based. It's software defined. We can actually write code. We can actually have it not be written code that the amount of volume or the load on the server will kick in additional processes and those kinds of things. If the software is written to take advantage of those kind of things.

Yeah, that's correct. So workloads in a containerized environment, as they increase, you know, multiple containers are spun up. You're exactly right. It gets away from how we used to do things where okay, we reached capacity, now we've got to throw that out and get a bigger box. Right. And then we reach capacity, now we going to get a bigger box. It prevents that, you know, every three years from having to just rip and replace.

Wow, thanks for tuning in another great episode. If you have feedback for us regarding this content and materials, or if you would like to help us to amplify great thinking to propel healthcare forward, which is our ???? mission, please send us a note at Thanks for listening. That's all for now. ????

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