(upbeat music) >> Okay, welcome back everyone to theCUBE's coverage of AWS re:Invent 2021. We're here live in Las Vegas for an in-person event. Of course, it's a hybrid event, virtual online. Many people online. A lot of people here on the event, a lot of action. cloud going next generation, mainframe transformation, more analytics, more chips, everything's faster and cheaper and getting better and better in the cloud. We've got the great coverage. We've got two great guests. We got Justin Hooper vice president of Global Operations Infrastructure Ingram Micro and JP Perot, EVP of Telecom Media and Technology and AWS executive sponsor for Atos. Gentlemen, thank you for joining me on theCUBE. >> Thank you. >> Thank you, glad to be here. >> So what is it about the conference so far? Pretty good, like a lot of people here? >> Super exciting. >> 27,000 people showing up. >> It's amazing. >> Real people not workers. >> Yeah, it feels almost normal. >> Yeah I can't believe the turnout. >> Got a great topic, you guys working together you got mainframe, you got analytics, transformation. Let's get into it. Let's start by introducing what you guys do, your company, and why you are here. JP, we'll start with you. >> Yeah, I can start. Okay, so yeah, so I'm leading, you know, in Atos all the cloud business and telecom media technology, Atos is a big company is a service and technology company, 11 billion Euro business, and we are leading all the transformation to cloud and also, all what is related to hybrid cloud transformation. Also with security. We are number two in the world in terms of security and cybersecurity. We have developed for so long lasting relationship with AWS. We have been an advanced technology partner of AWS for now many years, since 2013. And we have developed a specific program, you know, regarding manufacturing transformation and mega trends. So this is why we are super excited to be here with you Justin today, thank you, by the way having Ingram Micro with us, Justin. >> I appreciate it, it's good talking to you. Good to be here. >> And I'm Justin Hooper, I work for a Ingram Micro. I run their Global Infrastructure and IT operations. Ingram Micro is one of the world's largest technology suppliers, technology solutions, and cloud platform and services. >> Well, great for the intro. Thanks for that set up, a lot of action going on. You guys have recently purchased, you guys got the transformation in the cloud. What is the movement to the cloud? Take us through the current situation. >> Yeah, we see, a big acceleration and especially due to COVID situation. We have seen acceleration of transformation to cloud. There is a lot to do, a lot to do because many business critical application, which have not been transformed. And also, especially all the applications which are sitting on top of mainframe that is why executive discussion we are with Ingram at the moment is how we can help Ingram with some of the applications that are on mainframe to transform and design the future. >> Justin, take us through the transformation that they're helping you with, what's the key challenge? What problem are they solving? Take us through the specifics. >> Yeah, it's interesting because I'm actually a lover of the mainframe, I think most of the people at AWS would think, the mainframes, didn`t they put the rockets on the moon. That's old technology, but mainframes are still fantastic platforms. We, have great success, great resiliency with Atos . We are on the most modern chips, but there are a lot of restrictions. You know, you really have to size your mainframe for your peak workloads. You don't have the ability to separate segments, scale horizontally, and then there are really nuanced. Like it's hard to get resources that know mainframes, to be honest with you, it is just, there's a people issue there industry-wide, and we're not different than any other company and compete for resources, both on the system side and on the programming side. And we really want to look at how we can make a massive leave, if we're going to leave the mainframe, how do we start a journey where we can end up really being able to take advantage of horizontal scalability, the ability to have a utility compute model where we're really paying as we go, because that is the opposite how the mainframe model works today. >> Talk about the refactor 'cause I know I've covered a lot of mainframe stuff with IBM in the past and how banks are still using it. Everyone is they're real applications. They're mission critical. How are they integrating into the digital transformation. Containers, kubernetes are hot right now. You're starting to see a lot more integration. How do your customers and how do you guys see refactoring happening? I can see the integration, but that as the refactoring come in. >> There's really what we've learned with our partnership is there are really a couple of ways to do the refactoring. You can convert your old Cobalt code to something else like Java. And there are tools and companies out there that do that. Or you can really build a plan where you can effectively emulate your mainframe on commodity computing and through a relatively deep analysis with Atos, the recommendation that we're looking at is that ability to first get off of the hardware, get off of that reliance on the platform, but not jump all the way to modify your code to Java. There's not a lot of value in going from Cobalt to Java, for example, if you're not making improvements in your programs, adding business capabilities. So the journey starts with get off the hardware, but then it allows you to go and say, we are going to break up those complex programs. We are going to separate the data differently. And once you do that, you can start to take advantage of containers and start to separate yourself even more and really get into the cloud. But, there are ways to piece your way through that. >> You know that's really good insight, JP, I'd love to get your reaction on this too, because what Justin's getting at is what we hear a lot from experienced CIOs of large companies that have a lot of existing stuff. And the theme is and the word they use is you don't want to touch the white hot core. Meaning it's so mission critical that if you mangle it too hard, touch it too hard a lot of bad things happen. So this idea of push things out to the cloud that around the edges, and then work your way slowly in is a risk management and practical approach. >> Not exactly, you said it right, its exactly a risk management So, and Justin explain it different factors, which come to the end point in terms of decision there is one issue regarding competencies, because their lack of competency in the markets. There is what kind of business critical apps you have. There is a transformation as such, you know, as Justin explain you can record, or you can move, you know, to a different platform. So, each time it's a program, it's a program and analysis that we do with our customer advising the customer about, hey, based on your critical application, what is the right journey, what is the right transformation to do the right risk management? >> Justin you're taking the hot core I saw you nodding your head. You're like, yeah, what's your take on that? >> Well, yeah, I agree with you. And that fear, uncertainty and doubt it's kept people on the mainframe for a really long time. The technology has caught up and the expertise where just as JP said, you've got to be really careful in the way you plan it, and you've got to make sure that you can always get back. And so the approach that we're looking at taking is, you're able to accommodate more risk if there's an easy roll back plan, and some of the new new technologies and processes are going to allow that, so, you know, if I screw this up, I get to go find a job someplace else. So I'm aware of the white hot core, but I am confident it can be done. >> Yeah, and then technology, if you don't have to kill the old to bring in the new, you can do both, and I like your approach. I think that's a success path that people are talking about it's well documented. But at the end of the day, we're back in distributed computing, I mean, I want to get this at the end, but I want to give you guys some time to think about it. As cloud becomes everywhere as Adam Selipsky talks about, it's not just about mainframes, this it's a distributed computing paradigm. So we're going to come back to that, but let's get into the SAP Redshift `cause I think that's something that you guys are working on I think that's worth calling out here. Analytics is huge, tell us what's going on there, how you guys are working together on that. >> Yeah, so we have designed a high level of competency around SAP, and especially the migration and the SAP Redshift. So we have designed this program also with AWS and is something we are discussing at the moment also with Ingram. So we see an acceleration of this trajectory. It has been also highly pushed by SAP as well. And also we are one of the strongest partner of SAP and we see many many customers engage into this transformation at the moment. >> The cloud really gives you a lot of advantages when you're doing migration, especially around a pre-existing software, like SAP was pretty big, complex mission critical So you can throw compute at it, a lot of cool capabilities. >> Yeah, that's true, but you need, you still need to configure a lot of things as well, because it's, you need to customize and you have to really fine tune, you know, what is it, what is going to be available to the customer needs and to what you need in your company as well. >> Okay, lets get back to what Justin was saying about emulation, I mean, I can run SAP (laughs) on Amazon. I mean, we've talked about it, I wrote a story about this prior to the event called Superclouds. You can build these super applications that combine things that you never would have thought was possible. SAP running on Amazon or Ford can come to Redshift when you need it, so you have a lot more flexibility. This is now the new normal. >> Correct. >> Correct. Or Justin maybe you want also to comment on that, you know? >> You know, the great thing about being on Redshift is we pick that as a platform for our data warehouse a number of years ago, and there were basically analytics capabilities, but what we're seeing a lot here at re:Invent is as Amazon is catching up with their out of the box ML and AI capabilities in Redshift. So it feels good that we pick the platform that they're growing the capabilities in right, as we're advancing out of more of the traditional analytics and trying to go to that machine learning. And one of the things that we work at the Atos on is migrating off of SAPBW and saying, maybe we don't need that as a data and reporting platform, if we're solid with Redshift and we certainly don't need both. So we're working with them to look at the case to move all the way to Redshift, and then we can run our analytics and build the ML in that. >> And you know, that was a big theme in the keynote. This purpose-built capabilities, it's almost like having, you know, if you're building a building, you got iron steel girders made for you. You got this now better value in the platform to build on. This brings up the notion of distributed computing. >> JP: Yeah. >> In a way there's the same game, different generation. I mean, isn't it? You've got to integrate this still transformations inflection points, this is current. I feel like this now more than ever is a time where you can actually roll it all together with a little help from your friends or if Amazon's got somebody, you know, who want to reinvent the wheel. What's your reaction to that? 'Cause we've seen the movie before, when it's hard. Now, it seems easier, maybe its not. >> Yeah, we see three layers co-existing in more more. We see that, see application on data will be spread over three dimensions there will be edge computing there will be private cloud and there will be public cloud. And we see more more pressure in the direction that many customers are saying, hey, where should I put my data? This spot will go on and be processed at the edge, this spot will be process in the public cloud. There is also one of the capability where we in Atos we are able to advise customers about what is the best way to process your data if you have a lot of latency, you can process at the edge. You know, there's less equipment, you can process the public cloud. So, we see this coexistence of model. >> Justin what's your take on this distributed computing throwback concept, because look at the rise of companies like Snowflake. Where'd they come from? They're on Amazon, they pick the cloud. Now they're on going to other clouds. You can build a supercloud. You can actually build this out now faster. What's your take? >> Yeah, I, my take is that it's a pendulum and it swings back and forth, and like you said, there was client server and then everything was web-based. And a lot of things look a lot like the mainframe, put everything in the cloud and then attached to it. And then all of a sudden, you know what? We need edge computing, pull some stuff back out of the cloud and put it where we need it. So, it's going to continue to evolve. What I have noticed that I like more is, the major home one swings and statements like I want to get out of the data center business and go to the cloud, I hear those less. And people are realizing there's there's hybrid. There's purpose build computing like you said, and we need to make sure that we're putting our data where it needs to be, putting our compute where it needs to be. And that's going to change on our customer base and evolving technologies 5G is changing the whole world around edge computing. So I'm enjoying the ride, I'm glad I'm in technology because I get to move with the ebbs and flows, but I don't think we're ever going to land. I think it's going to keep moving. >> Yeah that's a totally fair point where it's fun as a technologist, but you're right. If you're operating with cloud, it doesn't matter if you're on premises or edge or public cloud, it's the same thing (laughs). >> Justin: Yeah. >> It's just pick your, pick, your use case. >> Justin: Right, your use case- >> I want a low latency at the edge. I'm not going to move my data, send it to cloud. Of course, we're going to leave it there. >> Yeah. >> If you're on premise before- >> We've already move workloads back and forth. And a lot of companies are doing that too, you know? >> I think that's what they're getting at when they talk about cloud everywhere. I think that's their way of saying, okay, hybrid is real. They won't ever say multicloud though. (all laughing) Not yet. (all laughing) >> Won't hear that here. >> All right, quick summary. What do you guys do? And what's the future hold for the relationship. You guys got a good thing going on? Take us through what's the future look like. >> Yeah, for me it's a big thank you for the partnership with Ingram. So we are extremely excited by what we can do for you. And in terms of advising your transformation and, you know, I hope that you get the right service and the right advice, you know, from Atos. >> Yeah, it's been great. We, we've appreciated. We've been, we started as a mainframe customer and now they're helping to advise on how we could get off the mainframe. I mean really cannibalizing one of the other areas there in the spirit of evolving and partnership, and you guys are bringing a ton of expertise and the way you guys attack the account and we centralized through our account team is very helpful. You're very aware of what's going on on all sides of the business. >> Well, congratulations. >> That's a big part of the theme, the keynote today on, on ad about mainframe transmission. But at the end of the day, it's about modern infrastructure, modern application development. >> Justin: Absolutely. >> Getting out, having set the table for the next generation. >> JP: Yeah. >> Thanks for coming on theCUBE and you guys want to get a quick plug in real quick for the company talk about Atos and Ingram. Give a quick plug for what you guys are working on. >> Sorry- >> Give a quick plug about what you`re working on. Give a quick commercial one minute about the company. >> One minute. >> Yeah. >> At Atos we're really transforming or leading the industry in terms of secured transformation to cloud security will be more and more important as data is everything about where is the value. So we are really making sure that our customers, they get to maximize, they can maximize the value around data transformation to cloud in a secured way. >> Justin, JP, thanks for coming on theCUBE. Really appreciate the insights. Don't touch the hot core and make, take your time. Have a good time, you're watching theCUBE, the official broadcasting of AWS re:Invent leader in tech coverage, theCUBE. Thanks for watching. (upbeat music)