 Okay, we're back live in Los Angeles, California, here at the Hyatt in Irvine, right next to the John Wayne Airport, 12 miles from Newport Beach. This is theCUBE. This is where we go out to the events and talk to the smartest people. We can find, extract a signal from the noise and bring it to you and share that with you. This is our first CUBE event where we are on behalf of servicesangle.com where we cover the business of services, cloud, mobile and social, and the disruption that's happening. I'm John Furrier, founder of SiliconANGLE.com and I'm joined with my co-host. I'm Dave Vellante of Wikibon.org. John, I wish I had time to spend down here at the beach, but I don't. So we're here with Jerry Nolan, who is the Worldwide Director of Hyperscale Support for HP. Hyperscale is a hot topic. It's something that we've been covering. We were at the Project Moonshot announcement, which was very interesting. So Jerry, welcome to theCUBE. Thank you. Great to have you here. We just had Seamus on. You know Seamus very well. Absolutely, no Seamus. Keep the Irish theme going here. Yeah, that's right. And so, well let's start with talking about Hyperscale. I mean, it's an interesting topic, but for our audience out there that may not know what it is, you know, it sounds like an interesting buzzword. What is Hyperscale and why is it important? Excellent question, and it's one I've been asked many times by my friends. Hyperscale, it's a great term. At HP, it categorizes three types of customers. Firstly, service providers. You know, Think, eBay, Apple, you know, Microsoft being those types of customers. Second category would be high-performance computing. Think high-compute companies that need a lot of compute node like R&D. Lawrence Livermore, for example. Exactly, exactly. Western Gecko, those types of companies. And then web-hosters, companies, Think, GoDaddy, Think, RackSpace, that type of organization. And they typically need very large environments. They typically have large amounts of very talented IT staff on board. And tons of servers. Tons of servers. They have very large environments, hence the term hyperscale. They're expanding and growing at a rapid pace, and they have some very unique needs. So one of the things that I've been seeing in hyperscales is the energy is huge, right? You know, the trend of, with big data, we're seeing massive amounts of innovation around big analytics in medicine, chemistry, oil and gas, to medical. So you have an innovation happening where all this new big data is putting more compute power to work. Hence more services, hence more energy. So what are you seeing in terms of the data center challenges around energy and compute kind of, because people want compute to do those type of applications around big data and some of those emerging apps. But then you get the power issues. Obviously you get the pod. But what's the core challenge there? Yeah, well in hyperscale, it's actually interesting. It depends, obviously, it varies by customer, but one of the key challenges we see is all about speed. It's about how fast can I get new capability and new application capability online, and how fast can we onboard the services to support that. So I'd say that's a common trend across many of the companies that we deal with. And I think you heard from Sheamus, some of the unique ways we're doing that with data center care, building out sort of building blocks and capabilities that really help create a personalized experience for those types of customers. So the DOE came out with a paper around what they called exascale, which is sort of hyperscale, right? They're talking about a billion cores. And in there they reference some of the challenges, software support, reliability, John mentioned power and cooling. So, and Sheamus was talking about how a lot of your hyperscale customers, they basically want to pal it, and they want you to embed your services into their supply chain. So talk about how hyperscale is changing support. And then we can talk about some of the specific offerings that you have. Yeah, well hyperscale, it changes the world in terms of the types of services that we need to develop. So a great example would be imagine a customer who has 100,000 servers or systems from our spare parts point of view that requires a very unique approach in terms of how you manage the change out of disks, CPUs, fail items that fail. So we built a unique service for that space that allows customers to hold on-site inventory of parts. They, you know, typically if a blade server goes out, it's not really a big deal. They can, you know, you can go through every Friday and replace the ones that are broken. So this new service, cell service spares is really proving to be a big hit with these customers. And just an example of a unique requirement in that space where they have such a large scale of systems that it requires a very customized experience. Call handling would be another one. You know, when they call in these customers a lot of these customers buy the performance optimized data centers, the pods. And in that sense, they're buying complete data centers. So a call we had one last week, customer said, my pod is leaking. So not your typical IT support issue. So we need special advanced solution center technologists on the end of the phone to know how to deal with those types of issues. So these customers, they bring a whole new level of challenge to their vendors in terms of scale, in terms of the types of issues, in terms of the requirement to have an end to end experience. They don't want to be bounced around from pillar to post. They want somebody to pick up the phone, own their problem, regardless of what it is, and get it fixed really quickly. Hear a lot about the intersection of application development and operations. And it's something that we've been covering at Silicon Angle and Wikibon, you know, DevOps, where you're sort of cross training people. And I would think that a lot of the hyperscale customers are moving in that direction to be more efficient so that they can scale. Are you seeing that trend within your hyperscale base? And let me ask that and then I have a follow up. Okay, yeah, absolutely. I mean, these customers deploying technologies like Hadoop, they bring very unique challenges. So they're absolutely on that path. Yeah, and so then, is there a specific support dimension to that? How does that change? If I've now got, you know, the application development people and infrastructure management people cross trained in these disciplines, how does that change or does it change the support that you're bringing? It does. I mean, it changes on a number of levels. It changes from an experience point of view. If the customer has a problem in their environment, these environments are very complex. So while they're very dense and phenomenal environments, the types of problems, sometimes it can be problematic to even isolate the issue, let alone then resolve it. Because it could be an HP problem. It could be a hardware, a software, an operating system, a hypervisor, an application. So picking up the phone and having a single point of contact who can own your problem end to end and try and help you quickly isolate the problem and then bring in the associated experts and stick with you the whole time to get that done is a really big need for these guys and they really value that. I have a kind of a question coming from one of my friends who I follow on Twitter in respect.