>>Hello everyone. Welcome back to the Cube's Live coverage. I'm John Fur, host of the Cube. We got two sets here, three sets total. Another one in the executive center. It's our 10th year covering AWS Reinvent. I remember 2013 like it was yesterday. You know, now it's a massive of people buying out restaurants. 35,000 people now it's 55,000, soon to be 70,000 back. Great event. Continuing to set the standard in the industry. We had an amazing guest here, Leah Bibo, vice President of Product Marketing. She's in charge of the messaging, the product, overseeing how these products gonna market. Leah, great to see you. Thanks for joining me on the Cube today. >>Absolutely. It's great to be here. It's also my 10 reinvent, so it's, it's been a wild ride. >>Absolutely. Yeah. You and I were talking before we came on camera, how much we love products and yes, this is a product-centric company, has been from day one and you know, over the years watching the announcements, the tsunami of announcements, just all the innovation that's come out from AWS over the years has been staggering to say the least. Everyone always jokes about, oh my God, 5,000 new announcements, over 200 services you're managing and you're marketing them. It's pretty crazy right now. And Adam, as he comes on, as I called them, the solutions CEO on my piece I wrote on Friday, we're in an era where solutions, the products are enabling more solutions. Unpack the messaging around this cuz this is really big moment for aws. >>Absolutely. Well, I'll say first of all that we are a customer focused company that happens to be really good at innovating incredible products and services for our customers. So today the, the energy in the room and what Adam talked about, I think is focused on a few great things for customers that are really important for transformation. So we talked a lot about best price performance for workloads and we talked about extreme workloads, but if you think about the work that we've been doing to innovate on the silicon side, we're really talking about with Graviton all your workloads and getting really great price performance for all of them. You know, we came out with graviton three 25% faster than graviton two, also 60% more energy efficient. We talked about something that is emerging that I think is gonna be really big, which is simulation and really the ability to model these complex worlds and all the little interactions, which I think, you know, in the future as we have more complex environments like 3D simulation is gonna be a bigger part of every, every business's >>Business. You know, just as an aside, we were talking on the analyst segment that speeds and feeds are back and the old days and the data center days was like, we don't wanna talk about speeds and feeds about solutions and you know, the outcomes when you get the cloud, it was like, okay, get the workloads over there, but people want faster and lower cost performance workloads gotta be running at at high performance. And, and there's a real discussion around those. Let's unpack security data performance. What, what does that mean for customers? Because again, I get the workloads run fast. That's great. What else is behind the curtain, so to speak from a customer standpoint? >>Absolutely. Well I think if you're gonna move all your workloads to the cloud, you know, security is a really big area that's important. It's important to every one of our enterprise companies customers. Actually it's important to all of our customers and we've been working, you know, since the beginning of AWS to really create and build the most secure global infrastructure. And you know, as our customers have moved mission critical workloads, we've built out a lot more capabilities and now we have a whole portfolio of security services. And what we announced today is kind of game changing. The service called Security Lake, which brings together, you know, an ecosystem of security data in a format that's open. So you can share data between all of these sources and it's gonna give folks the opportunity to really be able to analyze data, find threats faster, and just kind of know their security posture. And I think, you know, as we talked about today, you don't wanna think about the cloud as unfathomable, the unfathomable, you really need to know that security. And I think that like a lot of things we discussed, security is a data opportunity, right? And I think we, we had a section on on data, but really if you look at the keynote across security, across solutions, across the purpose built things we made, it's all, it all comes down to data and it's really the, the transformational element that our customers >>Are. I mean the data secured is very integral part good call out there. And I, I wanna just double down on that real quick because I remember in 2014 I interviewed Steven Schmidt when he was the CSOs and back then in 2014, if you remember the conversation was this, the clouds not secure, gotta be on premises. Now in today's keynote, Adam says, and he laid out the whole global security footprint. There's a lot going on that Amazon has now become more secure than on-prem. He actually made that statement. So, and then plus you got thousands of security partners, third party partners, you got the open cyber security framework which you guys co-found with all the other, so you got securities not as a team sport, this is what they, they said yes, yes. What does that mean for customers? Because now this is a big deal. >>Well I think for customers, I mean it means nothing but goodness, right? But all of these thousands of security partners have really innovated and created solutions that our customers are using. But they all have different types of data in different silos. And to really get a full picture bringing all that data together is really important. And it's not easy today. You know, log data from different sources, data from detection services and really what customers want is an easier way to get it all together. Which is why we have the open OCS F and really analyze using the tools of their choice. And whether that's AWS tools for analytics or it's tools from our partners, customers need to be able to make that choice so that they can feel like their applications and their workloads are the most secure on aws. >>You know, I've been very impressed with guard duty and I've been following Merit Bear's blogs on online. She's in the security team, she's amazing. Shout out to her. She's been pushing guard duty for a long time now there's big news around guard duty. So you got EKS protection, you know, at Coan this was the biggest cloud native issue, the runtime of Kubernetes and inside the container and outside the container detection of threats, right? As a real software supply chain concern. How are you guys marketing that? This is a huge announcement. EKS protection I know is very nuanced but it's pretty big deal. >>It is a big deal. It is a big deal. And guard duty has been kind of like a quiet service that maybe you don't hear a lot about, but has been really, really popular with our customers. Adam mentioned that 85% of, you know, our top 2000 customers are using guard duty today. And it was a big moment. We launched EKS protection, you know, a little bit earlier and the customer uptake on that has been really incredible. And it is because you can protect your Kubernetes cluster, which is really important because so many customers are, you know, part of their migration to the cloud is containers. Yeah. And so we're pretty excited that now we can answer that question of what's going on inside the container. And so you have both, yeah, right. You know that your Kubernetes pluses are good and you know what's going on inside the container and it's just more threats that you can detect and protect >>Yourself from. You know, as an aside, I'm sure you're watching this, but you know, we go to a lot of events, you know, the C I C D pipeline as developers are getting higher velocity coding, it has moved in because of DevOps on the cloud into the C I C D pipeline. So you're seeing that developer takes some of those IT roles in the coding workflow, hence the, the shift left and or container security, which you guys now, now and are driving towards. But the security and the data teams are emerging as a very key element inside the organizational structure. When I sat down with Adam, one of the things he was very adamant about in my conversation was not just digital transformation, business transformation, structural organizational moves are making where it's not a department anymore, it is the company, a technology is the company when you transform. Absolutely. So digital is the process, business is the outcome. This is a really huge message. What's your reaction to that? What's, what can you share extra cuz that's, this is a big part of the thing. He hit it right outta the gate on the front end of the keynote. >>Absolutely. Absolutely. I mean I think, you know, companies have been migrating to the cloud for a while, but I think that this time that we're going through has really accelerated that migration And as part of that, you know, digital transformation has become real for a lot of companies. And it is true what Adam said there is technology transformation involved, there's data transformation involved, but it, it is transforming businesses. And I think if you look at some of the things that Adam talked about, you know, aws, supply chain, security Lake, aws clean rooms, and Omic, aws, omic, you know, those are all examples of data and the ability to work with data transforming different lines of business within a company, transforming horizontal processes like contact centers and like supply chain and also, you know, going into vertical specific solutions. So what it means is that as technology becomes more pervasive, as data becomes more pervasive, businesses are transforming and that means that a lot more people are going to use the cloud and interact with the cloud and they might not want to or be able to kind of use our building blocks. And so what's really exciting that what we're able to do is make cloud more accessible to lines of business folks to analysts, to security folks. So >>It's, yeah, and that's, and that's why I was calling my this this new trend I see as Amazon Classic, my words, not your words, I call the, hey there was classic cloud and then you got the next gen clown, the new next generation. And I was talking with Adrian Cockcroft, former aws, so he's now retired, he's gonna come on later today. He and I were talking, he use this thing of you got a bag of Legos aka primitives or a toy that's been assembled for you glued together, ones out of the box, but they're not mutually exclusive. You can build a durable application and foundation with the building blocks more durable. You can manage it, refine it, but you got the solution that breaks. You don't have as much flexibility but you gotta replace it. That's okay too. So like this is now kind of a new portfolio approach to the cloud. It's very interesting and I think, I think, I think that's what I took away from the keynote is that you can have both. >>Yes, absolutely. You can do both. I mean, we're gonna go full throttle on releasing innovations and pushing the envelope on compute and storage and databases and our core services because they matter. And having, you know, the choice to choose from a wide range of options. I mean that's what, that's what customers need. You know, if you're gonna run hpc, you're gonna run machine learning and you're gonna run your SAP applications or your Windows applications, you need choice of what you know, specific type of instance and compute capabilities. You need to get the price performance. It's, it's definitely not a one size fits all. It's a 600 instance type. Size fits all maybe. >>Exactly. And you got a lot of instance and we'll get to that in a second. Yeah, I love the themes. I love this keynote themes you had like at first space, but I get the whole data, then you look at it, you can look at it differently. Really good metaphor, the ocean one I love with the security because he mentioned you can have the confidence to explore go deep snorkeling versus scuba and knowing how much oxygen you have. I mean, so really cool metaphor made me think very provocative. So again, this is kind of why people go to AWS because you now have these, these abilities to do things differently, depend on the context of what products you're working with. Yes. Explain why that was the core theme. Was there any rationale behind that? Was it just how you guys saw it? I mean that was pretty clever. >>Well, I think that, you know, we're, we're talking about environments and I think in this world, you know, there's uncertainty in a lot of places and we really feel like all of us need to be prepared for different types of environments. And so we wanted to explore what that could look like. And I think, you know, we're fascinated by space and the vastness and it is very much like the world of data. I don't know about you, but I actually scuba dive. So I love the depths of the ocean. I loved working on that part. There's extremes, extreme workloads like hpc, extreme workloads like machine learning with the growing models and there's an imagination, which is also one of my favorite areas to explore. >>Yeah. And you use the Antarctica one for about the whole environment and extreme conditions. That's good in the performance. And I love that piece of it. And I want to get into the, some of the things I love the speeds and fee. I think the, the big innovation with the silicon we've been covering as, you know, like a blanket. The, he's got the GRAVITON three 25% faster than GRAVITON two, the C seven GN network intense workloads. This is kind of a big deal. I mean this is one of those things where it might not get picked up in the major press, but the network use cases are significant. Nira has been successful. Share your thoughts on these kinds of innovations because they look kind of small, but they're not, they're >>Big, they're not small for sure, especially at the scale that our customers are, are, are running their applications. Like every little optimization that you can get really makes a huge difference. And I think it's exciting. I mean you hit on, you kind of hit on it when we've been working on silicon for a while now we know that, you know, if we're gonna keep pushing the element, the envelope in these areas, we had to, we had to go down to the silicon. And I think that Nitro has really been what's kind of been a breakthrough for us. You know, reinventing that virtualization layer, offloading security and storage and networking to special purpose chips. And I think that it's not just in the area of network optimization, right? You saw training optimized instances and inference optimized instances and HPC optimized instances. So yeah, we are kind of looking at all the extremes of, of what customers want to do. >>I know you can't talk about the future, but I can almost connect the dots as you're talking. It's like, hmm, specialized instances, specialized chips, maybe programmability of workload, smart intelligence, generative AI, weaving in there. A lot of kind of cool things I can see around the corner around generative AI automation. Hey, go to this instance with that go here. This is kind of what I see kind of coming around the corner. >>And we have some of that with our instance optimizers, our cost optimizer products where, you know, we wanna help customers find the best instance for their workload, get the best utilization they possibly can, you know, cut costs, but still have the great performance. So I don't, I don't know about your future, John, it sounds great, but we have, you know, we're taking steps in that direction today. >>Still look in this code that's gonna be on this code. Okay. Any, okay, I wanna give you one final question. Well, well two questions. One was a comment Adam made, I'd love to get your reaction if you want to tighten your bell, come to the cloud. I thought that was a very interesting nuance. A lot of economic pressure. Cloud is an opportunity to get agile, time to value faster. We had Zs carve cube analyst who's with us earlier said, the more you spend on the cloud, the more you save. That was his line, which I thought was very smart. Spending more doesn't mean you're gonna lose money, means you can save money too. So a lot of cost optimization discussions. Absolutely. Hey, your belt come to the cloud. What does he mean by that? >>Well I think that in, in times where, you know, there's uncertainty and economic conditions, it is, it's really, you know, you sometimes wanna pull back kind of, you know, batten down the hatches. But the cloud really, and we saw this with C you know, if you, if you move to the cloud, not only can you cut costs, but you put yourself in this position where you can continue to innovate and you can be agile and you can be prepared for whatever environment you're in so that you know when things go back or you have a customer needs that and innovation that goes off like you, you can accelerate back up really, really quickly. And I think we talked about Airbnb, that example of how, you know, in, in that really tough time of covid when travel industry wasn't happening so much, you know, they were able to scale back and save money. And then at the same time when, you know, Airbnb's kind of once again travel came back, they were in a position to really, really quickly change with the, the customer needs. >>You know, Lee, it's always great talking with you. You got a lot of energy, you're so smart and we both love products and you're leading the product marketing. We have an Instagram challenge here on the cube. I'm gonna put you on the spot here. Oh my gosh. It's called Instagram. We called a bumper sticker section. We used to call it what's the bumper sticker for reinvent. But we kind of modernized that. If you were gonna do an Instagram reel right now, what would be the Instagram reel for reinvent Keynote day one. As we look for, we got Verner, we'll probably talk about productivity with developers. What's the Instagram reel for reinvent? >>Wow. That means I have to get short with it, right? I am, I'm not always, that's still wrong answer. Yeah, well I think, you know, this is really big day one, so it's excitement, it's, we're glad to be here. We have a lot coming for you. We're super excited. And if you think about it, it's price, performance, it's data, it's security and it's solutions for purpose-built use cases. >>Great job. Congratulations. I love the message. I love how you guys had the theme. I thought it was great. And it's great to see Amazon continue to innovate with, with the, with the, with the innovation on the product side. But as we get into transformation, starting to see these solutions and the ecosystem is thriving and looking forward to hearing the, the new partner, chief Aruba tomorrow. Absolutely. See what she's got a new plan apparently unveiling. So exciting. Everyone's pretty excited. Thanks for coming >>On. Great. Great. Thanks for having >>Me. All right. Leah, here in the cube. You are the cube, the leader in tech coverage. I'm John Fur, your host. More live coverage after the short break. We'll be right back here. Day two of the cube, day one of reinvent. Lot of great action. Three, four days of wall to wall coverage. We'll be right back.

Okay. We're back at AWS reinforced 2022. My name is Dave Vellante, and this is the cube we're here in Boston, home of lobster and CDA. And we're here, the convention center where the cube got started in 2010, Shariq Qureshi is here the senior manager at Deloitte and two LL P and merit bear is back on the cube. Good to see >>You guys can't keep me away, >>Right? No. Well, we love having you on the cube shark set up your role at, at Deloitte and toosh what do you actually, what's your swim lane, if you will. >>Yeah, sure. You know, I spend, I wear a lot of hats. I spend a lot of time in the assurance, the controls advisory audit type of role. So I spend our time, a lot of time working with our clients to understand, you know, regulatory requirements, compliance requirements, and then controls that they need to have in place in order to address risks, technology risks, and ultimately business risks. >>So I like to put forth premise, you know, when I walk around a show like this and come up with some observations and then I like to share 'em and then people like me. Well, you know, maybe so help me course correct. My epiphany at this event is the cloud is becoming the first line of defense. The CISO at your customers is now the second line of defense. I think audit is maybe the th third line of defense. Do, do you buy that the sort of organizational layered approach? >>No, because in fact, what we're here to talk about today is audit manager, which is integrated, right? Like if you're doing so the whole notion of cloud is that we are taking those bottom layers of the stack, right? So the concrete floors up through layer for the hypervisor, the, the racks and stacks and HVAC and guards and gates up through the hypervisor, right? Our, our proprietary hardware nitro ecosystem, which has security inheritance is okay upon that. We are then virtualized. Right? And so what we're really talking about is the ways that audit looks different today, that you can reason about what you're doing. So you're doing infrastructure as code. You can do securities code, you can do compliances code, and that's the beauty of it. So like for better, or in your case for worse in your analogy, you know, these are integrated, these are woven together and they are an API call >>Seamless. >>It, it is like easy to describe, right? I mean, like you can command line knowledge about your resources. You can also reason about it. So like, this is something that's embedded, for example, an inspector you can do network reachability know whether you have an internet facing endpoint, which is a PCI, you know, requirement, but that'll be dashboarded in your security hub. So there's the cloud is all the stuff we take away that you don't have to deal with. And also all the stuff that we manage on top of it that then you can reason about and augment and, and take action on. >>Okay. So at the same time you can't automate the audit entirely. Right? So, but, but talk about the challenges of, of, of, of automating and auditing cloud environment. >>Yeah. I mean, when I look at cloud, you know, organizations move to take advantage of cloud characteristics and cloud capabilities, right? So elasticity, scalability is one of them. And, you know, for market conditions, business, business outcomes, you know, resources expand and contract. And one of the questions that we often get as an auditor is how do you maintain a control environment for resources that weren't there yesterday, but are there today, or that are, that are no longer there and that are there today. So how do you maintain controls and how do you maintain security consistently uniformly throughout an audit environment? It's not there. So that's a challenge auditors, you know, historically when you look at the on-prem environment, you have servers that are there, it's a physical, it's a physical box. You can touch it and see it. And if it goes down, then, you know, it's still there. You can hug >>It if you're some people >>It's still there. So, but you know, with, you know, with cloud things get torn down that you don't see. So how do you maintain controls? That's, you know, it, one challenges, it >>Sounds like you're describing a CMDB for audit. >>I mean, that's a, that's an outcome of having, you know, getting good controls of having a CMDB to keep track and have an inventory of your assets. >>But the problem with CMDB is they're out of date, like so, so quickly, is it different in the cloud world? >>Yeah, exactly. I mean, yes. And yes, they are outta date. Cuz like anything static will be manual and imprecise, like it's gonna be, did John go calculate, like go count how many servers we have. That's why I was joking about server huggers versus like virtualizing it. So you put out a call and you know, not just whether it exists, but whether it's been patched, whether it's, you know, like there are ways that we can reason about what we've done, permissioning pruning, you know, like, and these, by the way, correspond to audit and compliance requirements. And so yes, we are not like there, it's not a click of a, whatever, a snap of the fingers, right. It takes work to translate between auditors and us. And it also takes work to have customers understand how they can augment the way that they think about compliance. But a lot of this is just the good stuff that they already need to be doing, right? Knowing internet facing endpoints or whatever, you know, like pruning permissioning. And there's a lot of ways that, you know, access analyzer, for example, these are automated reasoning tools that come from our formal reasoning group, automated reason group that's in identity. Like they, computers can reason about things in ways that are more complex, as long as it can be resolved. It's like EEU utility in mathematics. You don't go out and try to count every prime number. We accept the infinitude of primes to be true. If you believe in math, then we can reason about it. >>Okay. So hearing that there's a changing landscape yeah. In compliance shift from a lot of manual work to one that's much more highly automated, maybe not completely integrated and seamless. Right. But, but working in that direction, right. Yeah. Is that right? And maybe you could describe that in a little bit more detail, how that, you know, journey has progressed. >>I mean, just the fact alone that you have, you know, a lot of services, a lot of companies that are out there that are trying to remove the manual component and to automate things, to make things more efficient. So then, you know, developers can develop and we can be more agile and to do the things that, you know, really what the core competencies are of the business to remove those manual, you know, components to take out the human element and there's a growing need for it. You know, like we always look at security as, you know, like a second class citizen, we don't take advantage of, you know, the, you know, the opportunities that we need to, to do to maintain controls. So, you know, there's an opportunity here for us to look at and, and automate compliance, to automate controls and, and to make things, you know, seamless >>As a fun side benefit, you will actually hopefully have improved your actual security and also retain your workforce because people don't wanna be doing manual processes. You know, they wanna be doing stuff that humans are designed for, which is creative thinking, innovation, you know, creating ways to make new pathways instead of just like re walking these roads that a computer can analyze, >>You mentioned audit manager, what is that? I mean, let's give a plug for the product or the service. What's that all about what problems does it solve? Let's get >>Into that. Yeah. I mean, audit manager is a first of its kind service. You're not gonna find this offered through any other hyperscaler it's specifically geared and tailored towards the second line, which is security and compliance and a third line function, which is internal audit. So what is it looking to do and what is it looking to address some of those challenges working in a cloud space working, and if you have a cloud footprint. So for example, you know, most organizations operate in a multi account strategy, right? You don't just have one account, but how do you maintain consistency of controls across all your accounts? Auto manager is a service that can give, you know, kind of that single pane of view that to see across your entire landscape, just like a cartographer has a map to see, you know, the entire view of what he's designing auto managers does the same thing only from a cloud perspective. So there's also other, you know, features and capabilities that auto managers trying to integrate, you know, that presents challenges for those in compliance those in the audit space. So, you know, most companies, organizations they have, you know, not just one framework like SOC two or GDPR, high trust, HIPAA PCI, you know, you can select an industry accepted framework and evaluate your cloud consumption against, you know, an industry accepted framework to see where you stand in terms of your control posture, your security hygiene, >>And that's exclusive to AWS. Is that what you're saying? You won't find that on any other hyper scale >>And you'll find similarities in other products, but you won't find something that's specifically geared towards the second line and third line. There's also other features and capabilities to collect evidence, which is, I don't see that in the marketplace. >>Well, the only reason I ask that is because, you know, you, everybody has multiple clouds and I would love, I would love a, you know, an audit manager that's, that's span that transcends, you know, one cloud, is that possible? Or is that something that is just not feasible because of the, the, the deltas between clouds? >>I mean, anything's possible with the APIs right now, the way that, you know, you have to ingrain in, right. There's, you know, a, a feature that was introduced recently for audit manager was the ability to pull in APIs from third party sources. So now you're not just looking, looking exclusively at one cloud provider, you're looking at your entire digital ecosystem of services, your tools, your SA solutions that you're consuming to get a full, comprehensive picture of your environment. >>So compliance, risk, audit security, they're like cousins that are all sort of hanging out on the same holiday, but, but they're different. Like what help us understand and squint through those different disciplines. >>Yeah. I mean, each of them have, you know, a different role and a hat to wear. So internal audit is more of your independent arm of management working or reporting directly towards, you know, to the audit committee or to the board to give an independent view on company control and posture security and compliance works with management to help design the, that there that are intended to prevent, detect, or even correct, you know, controls, breakdowns, you know, those action, those action verb items that you wanna prevent unauthorized access, or you wanna restrict changes from making its way into production unless it's approved and, and documented and tracked and so on and so forth. So each, you know, these roles they're very similar, but they're also different in terms of what their function is. >>How are customers dealing with regional differences? You mentioned GDPR, different regulations, data sovereignty, what are the global nuances and complexities that, that, that cloud brings. And how are you addressing those? >>Yeah. Merit, I don't know if you had any thoughts on that one. >>I mean, I think that a lot of what, and this will build off of your response to the sort of Venn diagrams of security and risk and compliance and audit. I think, you know, what we're seeing is that folks care about the same stuff. They care about privacy. They care about security. They care about incentivizing best practices. The form that that takes when it's a compliance framework is by definition a little bit static over time. Whereas security tends to be more quickly evolving with standards that are like industry standards. And so I think one of the things that, you know, all these compliance frameworks have in, in mind is to go after those best practices, the forms that they take may take different forms. You know what I mean? And so I, I see them as hopeful in the motivation sense that we are helping entities get the wherewithal, they need to grow up or mature or get even more security minded. I think there are times that they feel a little clunky, but you know, that's just Frank. Yeah. >>It, it, it can audit manager sort of help me solve that problem. Is that the intent? And I see what you're saying, merit, that there security is at a different pace than, than, you know, GDPR, a privacy, you know, person, >>Right. I mean, like security says, we want this outcome. We want to have, you know, data be protected. The compliance may say, it must be this particular encryption standard. You know what I mean? Like the form I see things taking over time will evolve and, and feels dynamic. Whereas I think that sometimes when we think about compliance and it's exactly why we need stuff like audit manager is to like help manage exactly what articulation of that are we getting in this place at this time for this regulated industry? And like almost every customer I have is regulated. If you're doing business, you're probably in PCI, right. >>And there's never just one silver bullet. So security is, is a number of things that you're gonna do, the number of tools that you're gonna have. And it's often the culture in, in what you develop in your people, your process and technology. So auto manager is one of the components of robust strategy on how to address security. >>But it's also one of those things where like, there are very few entities, maybe Deloitte is one that are like built to do compliance. They're built to do manufacturing, automotive hospitality. Yeah. You know, like they're doing some other industry as their industry. Right. And we wanna let them have less lag time as they make sure that they can do that core business. And the point is to enable them to move our, I mean like sure. I think that folks should move to the pod because of security, but you don't have to, you should move because it enables your business. And this is one of the ways in which it just like minimizes, you know, like whatever our tailwinds lagging or push it anyway, it pushes you. Right. I mean, like it minimizes the lag >>Definitely tailwind. So are you suggesting merit that you can inject that industry knowledge and specificity into things like audit manager and, and actually begin to automate that as, and of course Deloitte has, you know, industry expertise char, but, but, but how should we think about that? >>I mean, you're gonna, you're gonna look at your controls comprehensively a across the board. So if you operate in an industry, you're gonna look to see like, what's, what's important for you. What do you have to, you know, be mindful of? So if you have data residency concerns, you wanna make sure that you've tailored your controls based on the risks that you're addressing. So if there's a framework >>And remember that you can go in the console and choose what region you're, you know, like we never remove your data from your region that you have chosen, you know, like this is, there's an intentionality and an ability to do this with a click of a mouse or with an API call that's, you know, or with a cloud formation template. That's like, there is a deliberateness there. There's not just like best wishes. >>You know, >>ESG is in scope. I presume, you know, helping the CISO become more green, more diverse. Increasingly you're seeing ESG reports come out from major organizations. I presume that's part of the compliance, but maybe not, maybe it hasn't seeped in yet. Are you seeing >>For that? I think it's still a new service auto manager. It's still, you know, being developed, but, you know, continuous feedback to make sure that, you know, we're covering a, a broad range of services and, and, and those considerations are definitely in the scope. Yeah. >>I mean, are you hearing more of that from >>Clients? So, I mean, we have an internal commitment to sustainability, right. That has been very publicly announced and that I'm passionate about. We also have some other native tools that probably, you know, are worth mentioning here, like security hub that does, you know, CIS benchmarking and other things like that are traffic lighted in their dashboard. You know, like there are ways a lot of this is going to be the ways that we can take what might have been like an ugly ETL process and instead take the managed ness on top of it and, and consume that and allow your CISO to make high velocity decision, high velocity, high quality decisions. >>What's the relationship between your two firms? How do you work >>To I'm like we just met. >>Yeah. I sense that, so is it, is it, how do you integrate, I guess is >>A question. Yeah. I mean, I mean, from the audit perspective, our perspective, working with clients and understanding, you know, their requirements and then bringing the service audit manager from the technical aspect and how we can work together. So we have a few use cases, one we've working with the tech company who wanted to evaluate, you know, production workload that had content, you know, critical client information, client data. So they needed to create custom controls. We were working with them to create custom controls, which auto manager would evaluate their environment, which would, you know, there's a reporting aspect of it, which was used to, you know, to present to senior leadership. So we were working together with AWS and on helping craft what those custom controls were in implement at the customer. >>Yeah. I mean, among other things, delight can help augment workforce. It can help folks interpret their results when they get outputs and act upon them and understand industry standards for responsiveness there. I mean, mean like it's a way to augment your approach by, you know, bringing in someone who's done this before. >>Yeah. Cool, cool. Collaboration on a topic that's generally considered, sorry. Don't, don't hate me for saying this boring, but really important. And the fact that you're automating again makes it a lot more interesting guys. Excellent. Thanks for your sharp first time on the cube. Thank you. Absolutely on, appreciate it. Rapidly. Becoming a VIP. Thanks. Coming on. Hey, I'll take it. All right. Keep it right there. Thank you. This is Dave ante for the cube. You're watching our coverage of AWS reinforce 2022 from Boston. We'll be right back.

>>live from Las Vegas. It's the Cube covering Splunk dot com. 19. Brought to you by spunk. >>Welcome back to the Cube, everyone. I'm John Ferrier with an angle on the Cube here in Las Vegas for Splunk dot com. 19. It's there 10 years of their customer main event. All the top customers and partners were here and, of course, accuse. Been covering dot com for seven years at a great guests from a censure. Mike Heinlein. Ecosystem Adventures. Global Analytics Plays and offerings lead a century Now. First of all, welcome to the Q. Thank you, John says. You're always has >>long titles. It's a very long title. Your lead. That's a mouthful. Offerings. Yeah, this >>meanings to these titles of the century. This, like >>Esso, I'm part of the Ecosystem Adventures Group, which helps to incubate our various different channel partners. And Dr Service is with those partners and then within the splint partnership. I'm focused on driving analytics offerings with various different practices that are already considering analytics and taking those >>to market. So you guys have a relation with spunk is evolving pretty quickly. >>It is >>what's the future look like? What's the current path >>Well, as you may be aware, we recently renewed our partnership with Bronco back in February. After two and 1/2 years, we had achieved most of our goals. And where we were starting to see is that where our initial objective was to help our clients to get Maur costs takeout and risk associated with their I T and Security operations way also learned a few things along the way, which is the Splunk Analyze politics engine can also be used outside of I t and Security and we can start to take it into industry verticals. And so one of the exciting things that we're doing is we brought our digital practice into the tent with us. We renewed in February, way have a couple of years. We're looking into the future, and we're gonna not only double down in i t and Security, but we're also going to start to build business analytics and io ti type solutions on top of within the vertical industries that were focused on one >>of those industries. Can you share them? >>Yeah. Yeah, so? So it would be things like energy utilities where power line analytics to reduce the amount of vegetation that might take out power lines cause fires cause outages. Patient flow, which would be how to help accelerate getting patients through the e. R and also increase throughput. Four Hospitals within supply Chain We're doing number of different things way have four different offerings that focus on technology, telecom, retail, consumer goods and manufacturing. So, like industrial type clients, >>so pretty much standard vertical industry that we normally see that's cracking in the business. Yeah, so I'll get your thoughts on this. One of the observations I want to share with you and get your reaction is is that with cloud and with data, it's interesting these day. There's a really key part of all this you mentioned. I I t and Security. Obviously, it's pretty straightforward. You see, that way started adding machine learning and a I and the things that domain expertise of these verticals become the pacing item the ke ke i t, if you will with scale of that what's going on? That's right level. Are you seeing that this is a fertile ground for opportunities that how you guys see it? Can you >>you Absolutely I think I think where it centuries strong is in our industry, Ackerman not just to 19 security, but within different industry verticals on. Then you take our digital practice, which is where our data science is live, where they're developing advanced analytics models and essentially working with a lot of the open source modeling tools like python that integrates very well a Splunk. It gives us the opportunity to take that data that could be bundled up. It could be data rest, maybe three years of sales data, and we create a forecast with it and do that on top of spunk. Or maybe something where within a supply chain or a flow within a hospital, were able to use machine learning to start to move some of the computer and thought from human beings to machines >>were some of the innovative service is you guys have built on top of Splunk because they're enabling platform. So again, opportunities. What are you guys doing in the >>soles? So both in the retail and in the technology space, we've created a couple of punishment engines. When you think of a supply chain, I need to know what my forecast is. What do I plan to sell? How many items. Do I need to have an inventory in the warehouse and in the store? And then how am I gonna get those items? And then how many should I order the next day? So we're using Splint to figure all of that out. >>What sort of surprise? Learnings You've got a deal with flunk because has always seems to be a new revelation when people get data and they start playing with insights. Beyond that, some sort of business breakthroughs are weird. Things happen when you start playing with data. Any anecdotal surprises, their learnings. You've seen >>a, well, a tremendous number. And in fact, what what happens is when you start to open up the silos. So most of our clients are stuck with a lot of legacy technologies that they've acquired over the last two or three decades. Splunk enables to open that Optimus get insights that we couldn't before. So it could be it could be. I could get a patient through a particular process, you know, twice as fast is what historically had been able to do. Or maybe for examples, something that Doug Merit mentioned yesterday, which is where we're partying very closely with Splunk for human trafficking. We've created an offering where split it already gone out created Data Lake of a lot of data from educational entities. Ngo's government agencies we took that builds a machine learning on top of it and able to identify high value targets or establishments that have a high risk of human trafficking, which is already starting to get results. In Florida, >>you mentioned health care no multiple times, someone of your key verticals. >>It is one that's emerging is very exciting. And it's kind of evidence of where we're working really well, a sponge. A lot of cases we've developed things that we take into Splunk, and we go to market together. In this particular case, Splunk created patient flow, took it to us. And now we're working to identify about a dozen different hospitals where we're gonna go meet with their CEOs and talk to him about what we can do to help them increased profit and patient satisfaction at the same time. >>What some of those conversations, like when you go and knock on the doors and say, Hey, I got a new secret weapon to solve your problems because this is its new things that people have these problems that couldn't have attacked before in the past. Now they have potential capabilities. What are some of those conversations? Take out there like Come on in, educate me. I want to buy right away or door slammed in your face and get his attention. >>Well, so way just had a really exciting meeting with a very large brochure in the Midwest. And as was explaining the different things that we could do a Splunk she actually the head of supply chain. Excuse me. It almost seems like fairy dust to me. In other words, the hardest challenge that I have sometimes is able to say, Look, you're used to doing this 24 months, maybe 36 months. I think I could do it free in less than six, and that's just so hard for them to absorb. So So a lot of cases it's it's transitioning to Well, let us figure out how we could prove that to you. Doing some kind of a concept or a pilot. >>You know, it's interesting is that you know, when you see people get set up with data platform, it's kind of editor of stage. Let's set the foundation. Let's make sure things flowing in you well. And then they started getting some discoveries here and there, and then they get business value, and then it kind of goes to another level. I think this is where things I see you guys doing well and others here in the ecosystem floor, and that is that It's a workflow optimization issue, I think. Wait a minute, way have all this data. Well, let's go do this. That's a little bit more of a ballistic business process or some sort of. >>That's right. Your >>challenge. Is that how >>you Yes. So I would say you always have a business process, at least in the industry verticals, and you have a lot of data that silo on. Then you crack those silos open on, then it's really basically intersection of what we would call planning and execution, which is, for example, maybe I have on oil rig and I have a ship that is taking materials and people back and forth. But now I know that I have actual things. Head into that port where if I send this ship now, I'm gonna have to come back in the next 24 hours. If I hold that ship off for two or three hours, then I can get more materials and people on board, and I don't have to come back for another 48 hours. So now I've just reduced greatly my operating costs. >>And I think that's interesting. Is that you think about what you just said, Yeah, go back 15 years. What's the data base scheming and make that happen. Date is over there, it's over. They're gonna write a query that Leighton see. It never happens. >>It's Jackie, right? So we're kind of out of the business of trying to fit square pegs into relational round holes, which takes the better part of maybe 50% of a lot of projects to implement those solutions. And so, with spunk, you're basically dumping the date end and you're layering your scheme on top of it, which enables you to accelerate delivery. And additionally, I don't have to cobble together and stitched together multiple technologies to do ingestion analytic storage visualization so I could mobilize teams much more quickly. Then it would traditional solutions. >>You know, Mike, I'd love your thoughts on the center's transformation because looking at you. What you guys have done is a company. It's been interesting, a lot of successes. But firm's been around for a while, right? So impressed. Different names don't back the old school back minicomputers. You know, rolling out projects had long arises. Multiyear. Now the speedy a name has completely changed clouds. Here you got data. How has the Splunk on these Modern technology has changed the centers engagement practices. >>I think you're touching on what we would probably call agile delivery, right or continuous delivery, where our clients don't want to push off from shore into a big bang project where they don't get to see the results for 12 to 24 months. That's a lot of risk for them. So what's book enables us to do, really is to do a delivery and deliver value in Angel's sprints in three 12 you know, 16 weeks sprints where we're literally be giving them value. We also don't have to understand all of the data. If you're using relational databases, you pretty much have to understand everything before you push off from shore with spunk. I can no minimal amount and start and deliver value, and then as I go, I'm learning more about my data. I could deliver more use cases and more value. >>It's interesting, you know, go back to the old enterprise sales model. You know, you do a pilot or a POC poc that a pilot with pilots, a date and that's what months and then Then the decision makes. And then you got to start over for the time that it'll happen in about months. A year. Yeah, technology changes. >>That's right. >>You guys are doing essentially agile sprints that are kind of like a little Mini p O sees. That's that's correct. Docs are actually really work. >>That's right. That's >>the new seems like the new sales model is that >>Well, I would say it's something that, with the rapid prototyping capability, like a sponge that gives us that flexibility todo depending on what we're doing, we may not have that flexibility. We may be limited by the technology. >>How would you describe the strength of censure Splunk partnership? >>It's a very strong So like I mentioned before, we way started to a nap three years ago. Way just renewed that relationship in February, and we've added more practices from within Accenture like digital practice. So now we have strategy, digital technology and security. We're focusing in doubling down and security in our I T markets, but also then starting to explore new industry verticals in Business analytics and Io Ti. As I explained earlier, we're bringing things to Splunk in there helping us cell, and they're bringing things to Austin. We're helping themselves, and there's a lot of excitement. I mean, I think it's really a combination of the right people with the right industry knowledge at the right time with the right technology. >>Final question in the industry For a while, you see the waves pretty big wave run now. Lot of confluence coming together. Multiple different Durant cloud data scale, everything speed. What's exciting you these days? What's the big story that people should pay attention to right now? Well, in this space, I >>think it really dovetails into Doug Steam, and I don't mean Thio, really, you know, piggyback on that. But it's true, and that is that so many of our clients, you know, still have a lot of technical debt from decades ago, and we get to come in there and say, Look in a matter of weeks and months, we could help You make sense of this way, can help you capture revenue you couldn't capture before Dr Out costs that you couldn't drive out before and reduce risk that you couldn't reduce before. So I mean, it's it's probably the best time of my entire career. >>Frankly, Cooper, daddies and certainly containers helps. Yeah, make those legacy workloads somewhat compatible with modern infrastructure. When you have those technical debt conversations with customers kind of realizing like I'm on the verge of bankruptcy, what do I do it? Is it more advisor? You guys come in, more counseling slash get developed? >>Yeah, yeah, A lot of times it's It's helping them to come in and assess what their situation is. Help them build a road map into the future. Sometimes it's rationalizing some of the technical debt. Sometimes it's how can we augment what you already have? And then and then in the future is that reaches end of life. We almost just turn it off. But you're up and running, you know, on this other platform that we've augmented into that ecosystem >>So tech flow positive. >>There you go. >>Yeah, cash flow positive take from technical debt from checked bag. Mike. Thanks for coming up. Appreciate it. Thanks for the knights. Thanks for having me. Great insights. You get all the data and the insights here. Workflow is rocking the cube. Second day of three days. I'm John Barrymore coverage after this short break.

(relaxing guitar music) >> Announcer: Live from Los Angeles, it's theCUBE, covering Open Source Summit North America 2017. Brought to you by the Linux Foundation and Red Hat. >> Hey, welcome back everyone, live here in Los Angeles, this is CUBE's live coverage of Open Source Summit North America. I'm John Furrier, as part of the Linux Foundation I'm here with Stu Miniman, co-host now to Wikibon. [Unintelligible] Technical product marketing for Linux containers with Red Hat, welcome to theCUBE. >> Thanks for having me, pleasure to be here. >> Thanks for coming on, appreciate Red Hat has been, again, the gold standard when it comes to Open Source, this conference really is about Linux, so you can't go any further than to look at the shining example of success that is Red Hat. From when I was growing up, back in the day, when Open Source was radical, Tier 2, Tier 3 some would argue, alternative to the big boys who were the proprietary operating systems. Now, Tier 1, well documented, don't need to recycle all that, but the fact is, Rell is a Tier 1, supports multiple, seven, ten, how many years now has support Rell, is it over twelve? >> Yeah, we're 15 years of Red Hat Enterprise Linux at this point. >> Oh yeah, come on, John, remember when Red Hat Advance Server came out in, what was that, 2002, 2001, turned into Rell eventually. John, I was working for an infrastructure company and keepingupwiththecolonel.org was a total nightmare, and it needed some adult supervision, and that's what Red Hat brought. >> Yeah, of course, Stu, and this is well-known, every bang, this is Tier 1, is part of the operational infrastructure, so it's got to be stable, but now you've got all this growth going on, certainly we heard Zemlin talking about it on [Unintelligible] he's the Executive Director, saying, look it, we're going to have potentially by 2026 400 million libraries in Open Source. So certainly the Open Source realm is growing. >> Sure. >> Operating systems still has got to power all these applications and see what the best of both worlds, you want the stability foundational aspect of the operating system, while still encouraging experimentation, failure, growth, iteration, so Agile and DevOps Ethos is about Open Source, it is about trying it, same time you got to keep the lights on, they want downtime. What's your reaction, how do you guys look at that going forward? You want to enable more, but you don't want to break stuff. >> Yeah, I mean, that's really kind of one of the hearts of most of our customers' problems right, is if you put it in terms of spend, 75-80% of what people spend money on in IT right now, is keeping the lights on. That's really long-term not sustainable. Right, for anybody involved. So one of the things that we need to do, as an operating system, and as a... Broader than an just an operating system as a distribution, where customers come to us and not want just OS bits, but they also want tooling and application components. How do we draw that line between things that move a little bit faster and upstream, that are popular and people want and need access to, at the same time providing that really long-term, stable system user space that really shouldn't change over a long period of time, because that's what provides that sort of application stability that we can ride out over a long period of time. >> Matt, in the Keynote this morning, Jim put out a lot of stats, talking about 10,000 lines of code outed daily. 2,500 lines of code removed daily. 450 organizations contributing, so much going on in the space. What are they working on? What are some of the big issues, because it's stability, we've added growth, sure there's cool things like Coobernetties and containers, I remember that the hot t-shirt at the Red Hat Summit this year was Linux's containers, containers are Linux. So, we know a little bit about that story, so what sort of things is the community working on these days? >> Sure, so like you said, a lot of shiny objects, right? Even those objects, to be honest, they're not that shiny, you look at some of the original support for what's now Linux Containers, we're talking 2006, if you really want to draw the line, 2002, but there's a lot of things going on in new hardware enablement, it's not just new applications that are taking advantage of these different kinds of technologies, we've got new vendors coming out, ARM is about set to take off and add some new challenges and choices to the Enterprise customers. We've got a lot of folks who are working in networking, the networking is stacked within Rell has changed dramatically over the past ten years, and with Open Stack and things that are driving through DPDK, and into virtual functions and things along those lines, there's a lot of core stability and core change and things that we think of as stable over time. >> Matt, isn't some of those new work loads we spent a lot of time this last year hearing about edge computing, IoT, being something that's pretty important going forward, Linux looks like it's going to be a lot of these places, mobile, it's already all there. We talked this morning, 2017's the year of the Linux Desktop, just because there's so many devices now that are Linux, so how does the workload impact that? >> Yeah, so everything these days is really starting to get to the point where almost everything is a distributed workload. We've definitely left the single systems, single workload paradigm, and even the traditional up through the past few years, n-tier, we have app, web, and database, that's really starting to get pushed out across multiple devices. Not only is it getting compute closer to the edge with some of the IT devices, but simply looking at how we do reliability, stability, you mentioned DevOps, that whole ability to move that reliability layer away from relying on expensive components and hardware, or expensive components and software, they really distribute that layer of knowledge that the application and use more replaceable, more commodity sorts of productions. >> Matt, [Unintelligible] operations is, one of my degree in my undergraduate in computer science, and back in the 80s everything was just build your own operating systems, again, this is where systems come back. But even with the Cloud today is really a systems game, and all of us guys and gals from the old days are now in vogue again because the Cloud is an operating system. Now you got sub-systems, you got, maybe it's distributed a little bit more decentralized, but again, it's the same game, different era, if you will. So you're starting to see the absence on operating systems, so the question is Intel and the Grading Table, Paul Merit used to call Intel the hardened top, where a lot of proprietary stuff underneath that crust that no one really cares-- [Audio Cuts Out]