HPE Compute Security - Kevin Depew, HPE & David Chang, AMD
>>Hey everyone, welcome to this event, HPE Compute Security. I'm your host, Lisa Martin. Kevin Dee joins me next Senior director, future Surfer Architecture at hpe. Kevin, it's great to have you back on the program. >>Thanks, Lisa. I'm glad to be here. >>One of the topics that we're gonna unpack in this segment is, is all about cybersecurity. And if we think of how dramatically the landscape has changed in the last couple of years, I was looking at some numbers that H P V E had provided. Cybercrime will reach 10.5 trillion by 2025. It's a couple years away. The average total cost of a data breach is now over 4 million, 15% year over year crime growth predicted over the next five years. It's no longer if we get hit, it's when it's how often. What's the severity? Talk to me about the current situation with the cybersecurity landscape that you're seeing. >>Yeah, I mean the, the numbers you're talking about are just staggering and then that's exactly what we're seeing and that's exactly what we're hearing from our customers is just absolutely key. Customers have too much to lose. The, the dollar cost is just, like I said, staggering. And, and here at HP we know we have a huge part to play, but we also know that we need partnerships across the industry to solve these problems. So we have partnered with, with our, our various partners to deliver these Gen 11 products. Whether we're talking about partners like a M D or partners like our Nick vendors, storage card vendors. We know we can't solve the problem alone. And we know this, the issue is huge. And like you said, the numbers are staggering. So we're really, we're really partnering with, with all the right players to ensure we have a secure solution so we can stay ahead of the bad guys to try to limit the, the attacks on our customers. >>Right. Limit the damage. What are some of the things that you've seen particularly change in the last 18 months or so? Anything that you can share with us that's eye-opening, more eye-opening than some of the stats we already shared? >>Well, there, there's been a massive number of attacks just in the last 12 months, but I wouldn't really say it's so much changed because the amount of attacks has been increasing dramatically over the years for many, many, many years. It's just a very lucrative area for the bad guys, whether it's ransomware or stealing personal data, whatever it is, it's there. There's unfortunately a lot of money to be made into it, made from it, and a lot of money to be lost by the good guys, the good guys being our customers. So it's not so much that it's changed, it's just that it's even accelerating faster. So the real change is, it's accelerating even faster because it's becoming even more lucrative. So we have to stay ahead of these bad guys. One of the statistics of Microsoft operating environments, the number of tax in the last year, up 50% year over year, that's a huge acceleration and we've gotta stay ahead of that. We have to make sure our customers don't get impacted to the level that these, these staggering number of attacks are. The, the bad guys are out there. We've gotta protect, protect our customers from the bad guys. >>Absolutely. The acceleration that you talked about is, it's, it's kind of frightening. It's very eye-opening. We do know that security, you know, we've talked about it for so long as a, as a a C-suite priority, a board level priority. We know that as some of the data that HPE e also sent over organizations are risking are, are listing cyber risks as a top five concern in their organization. IT budgets spend is going up where security is concerned. And so security security's on everyone's mind. In fact, the cube did, I guess in the middle part of last, I did a series on this really focusing on cybersecurity as a board issue and they went into how companies are structuring security teams changing their assumptions about the right security model, offense versus defense. But security's gone beyond the board, it's top of mind and it's on, it's in an integral part of every conversation. So my question for you is, when you're talking to customers, what are some of the key challenges that they're saying, Kevin, these are some of the things the landscape is accelerating, we know it's a matter of time. What are some of those challenges and that they're key pain points that they're coming to you to help solve? >>Yeah, at the highest level it's simply that security is incredibly important to them. We talked about the numbers. There's so much money to be lost that what they come to us and say, is security's important for us? What can you do to protect us? What can you do to prevent us from being one of those statistics? So at a high level, that's kind of what we're seeing at a, with a little more detail. We know that there's customers doing digital transformations. We know that there's customers going hybrid cloud, they've got a lot of initiatives on their own. They've gotta spend a lot of time and a lot of bandwidth tackling things that are important to their business. They just don't have the bandwidth to worry about yet. Another thing which is security. So we are doing everything we can and partnering with everyone we can to help solve those problems for customers. >>Cuz we're hearing, hey, this is huge, this is too big of a risk. How do you protect us? And by the way, we only have limited bandwidth, so what can we do? What we can do is make them assured that that platform is secure, that we're, we are creating a foundation for a very secure platform and that we've worked with our partners to secure all the pieces. So yes, they still have to worry about security, but there's pieces that we've taken care of that they don't have to worry about and there's capabilities that we've provided that they can use and we've made that easy so they can build su secure solutions on top of it. >>What are some of the things when you're in customer conversations, Kevin, that you talk about with customers in terms of what makes HPE E'S approach to security really unique? >>Well, I think a big thing is security is part of our, our dna. It's part of everything we do. Whether we're designing our own asics for our bmc, the ilo ASIC ILO six used on Gen 11, or whether it's our firmware stack, the ILO firmware, our our system, UFI firmware, all those pieces in everything we do. We're thinking about security. When we're building products in our factory, we're thinking about security. When we're think designing our supply chain, we're thinking about security. When we make requirements on our suppliers, we're driving security to be a key part of those components. So security is in our D N a security's top of mind. Security is something we think about in everything we do. We have to think like the bad guys, what could the bad guy take advantage of? What could the bad guy exploit? So we try to think like them so that we can protect our customers. >>And so security is something that that really is pervasive across all of our development organizations, our supply chain organizations, our factories, and our partners. So that's what we think is unique about HPE is because security is so important and there's a whole lot of pieces of our reliance servers that we do ourselves that many others don't do themselves. And since we do it ourselves, we can make sure that security's in the design from the start, that those pieces work together in a secure manner. So we think that gives us a, an advantage from a security standpoint. >>Security is very much intention based at HPE e I was reading in some notes, and you just did a great job of talking about this, that fundamental security approach, security is fundamental to defend against threats that are increasingly complex through what you also call an uncompromising focus to state-of-the-art security and in in innovations built into your D N A. And then organizations can protect their infrastructure, their workloads, their data from the bad guys. Talk to us briefly in our final few minutes here, Kevin, about fundamental uncompromising protected the value in it for me as an HPE customer. >>Yeah, when we talk about fundamental, we're talking about the those fundamental technologies that are part of our platform. Things like we've integrated TPMS and sorted them down in our platforms. We now have platform certificates as a standard part of the platform. We have I dev id and probably most importantly, our platforms continue to support what we really believe was a groundbreaking technology, Silicon Root of trust and what that's able to do. We have millions of lines of firmware code in our platforms and with Silicon Root of trust, we can authenticate all of those lines of firmware. Whether we're talking about the the ILO six firmware, our U E I firmware, our C P L D in the system, there's other pieces of firmware. We authenticate all those to make sure that not a single line of code, not a single bit has been changed by a bad guy, even if the bad guy has physical access to the platform. >>So that silicon route of trust technology is making sure that when that system boots off and that hands off to the operating system and then eventually the customer's application stack that it's starting with a solid foundation, that it's starting with a system that hasn't been compromised. And then we build other things into that silicon root of trust, such as the ability to do the scans and the authentications at runtime, the ability to automatically recover if we detect something has been compromised, we can automatically update that compromised piece of firmware to a good piece before we've run it because we never want to run firmware that's been compromised. So that's all part of that Silicon Root of Trust solution and that's a fundamental piece of the platform. And then when we talk about uncompromising, what we're really talking about there is how we don't compromise security. >>And one of the ways we do that is through an extension of our Silicon Root of trust with a capability called S Spdm. And this is a technology that we saw the need for, we saw the need to authenticate our option cards and the firmware in those option cards. Silicon Root Prota, Silicon Root Trust protects against many attacks, but one piece it didn't do is verify the actual option card firmware and the option cards. So we knew to solve that problem we would have to partner with others in the industry, our nick vendors, our storage controller vendors, our G vendors. So we worked with industry standards bodies and those other partners to design a capability that allows us to authenticate all of those devices. And we worked with those vendors to get the support both in their side and in our platform side so that now Silicon Rivers and trust has been extended to where we protect and we trust those option cards as well. >>So that's when, when what we're talking about with Uncompromising and with with Protect, what we're talking about there is our capabilities around protecting against, for example, supply chain attacks. We have our, our trusted supply chain solution, which allows us to guarantee that our server, when it leaves our factory, what the server is, when it leaves our factory, will be what it is when it arrives at the customer. And if a bad guy does anything in that transition, the transit from our factory to the customer, they'll be able to detect that. So we enable certain capabilities by default capability called server configuration lock, which can ensure that nothing in the server exchange, whether it's firmware, hardware, configurations, swapping out processors, whatever it is, we'll detect if a bad guy did any of that and the customer will know it before they deploy the system. That gets enabled by default. >>We have an intrusion detection technology option when you use by the, the trusted supply chain that is included by default. That lets you know, did anybody open that system up, even if the system's not plugged in, did somebody take the hood off and potentially do something malicious to it? We also enable a capability called U EFI secure Boot, which can go authenticate some of the drivers that are located on the option card itself. Those kind of capabilities. Also ilo high security mode gets enabled by default. So all these things are enabled in the platform to ensure that if it's attacked going from our factory to the customer, it will be detected and the customer won't deploy a system that's been maliciously attacked. So that's got >>It, >>How we protect the customer through those capabilities. >>Outstanding. You mentioned partners, my last question for you, we've got about a minute left, Kevin is bring AMD into the conversation, where do they fit in this >>AMD's an absolutely crucial partner. No one company even HP can do it all themselves. There's a lot of partnerships, there's a lot of synergies working with amd. We've been working with AMD for almost 20 years since we delivered our first AM MD base ProLiant back in 2004 H HP ProLiant, DL 5 85. So we've been working with them a long time. We work with them years ahead of when a processor is announced, we benefit each other. We look at their designs and help them make their designs better. They let us know about their technology so we can take advantage of it in our designs. So they have a lot of security capabilities, like their memory encryption technologies, their a MD secure processor, their secure encrypted virtualization, which is an absolutely unique and breakthrough technology to protect virtual machines and hypervisor environments and protect them from malicious hypervisors. So they have some really great capabilities that they've built into their processor, and we also take advantage of the capabilities they have and ensure those are used in our solutions and in securing the platform. So a really such >>A great, great partnership. Great synergies there. Kevin, thank you so much for joining me on the program, talking about compute security, what HPE is doing to ensure that security is fundamental, that it is unpromised and that your customers are protected end to end. We appreciate your insights, we appreciate your time. >>Thank you very much, Lisa. >>We've just had a great conversation with Kevin Depu. Now I get to talk with David Chang, data center solutions marketing lead at a md. David, welcome to the program. >>Thank, thank you. And thank you for having me. >>So one of the hot topics of conversation that we can't avoid is security. Talk to me about some of the things that AMD is seeing from the customer's perspective, why security is so important for businesses across industries. >>Yeah, sure. Yeah. Security is, is top of mind for, for almost every, every customer I'm talking to right now. You know, there's several key market drivers and, and trends, you know, in, out there today that's really needing a better and innovative solution for, for security, right? So, you know, the high cost of data breaches, for example, will cost enterprises in downtime of, of the data center. And that time is time that you're not making money, right? And potentially even leading to your, to the loss of customer confidence in your, in your cust in your company's offerings. So there's real costs that you, you know, our customers are facing every day not being prepared and not having proper security measures set up in the data center. In fact, according to to one report, over 400 high-tech threats are being introduced every minute. So every day, numerous new threats are popping up and they're just, you know, the, you know, the bad guys are just getting more and more sophisticated. So you have to take, you know, measures today and you have to protect yourself, you know, end to end with solutions like what a AM MD and HPE has to offer. >>Yeah, you talked about some of the costs there. They're exorbitant. I've seen recent figures about the average, you know, cost of data breacher ransomware is, is close to, is over $4 million, the cost of, of brand reputation you brought up. That's a great point because nobody wants to be the next headline and security, I'm sure in your experiences. It's a board level conversation. It's, it's absolutely table stakes for every organization. Let's talk a little bit about some of the specific things now that A M D and HPE E are doing. I know that you have a really solid focus on building security features into the EPIC processors. Talk to me a little bit about that focus and some of the great things that you're doing there. >>Yeah, so, you know, we partner with H P E for a long time now. I think it's almost 20 years that we've been in business together. And, and you know, we, we help, you know, we, we work together design in security features even before the silicons even, you know, even born. So, you know, we have a great relationship with, with, with all our partners, including hpe and you know, HPE has, you know, an end really great end to end security story and AMD fits really well into that. You know, if you kind of think about how security all started, you know, in, in the data center, you, you've had strategies around encryption of the, you know, the data in, in flight, the network security, you know, you know, VPNs and, and, and security on the NS. And, and even on the, on the hard drives, you know, data that's at rest. >>You know, encryption has, you know, security has been sort of part of that strategy for a a long time and really for, you know, for ages, nobody really thought about the, the actual data in use, which is, you know, the, the information that's being passed from the C P U to the, the, the memory and, and even in virtualized environments to the, the, the virtual machines that, that everybody uses now. So, you know, for a long time nobody really thought about that app, you know, that third leg of, of encryption. And so a d comes in and says, Hey, you know, this is things that as, as the bad guys are getting more sophisticated, you, you have to start worrying about that, right? And, you know, for example, you know, you know, think, think people think about memory, you know, being sort of, you know, non-persistent and you know, when after, you know, after a certain time, the, the, you know, the, the data in the memory kind of goes away, right? >>But that's not true anymore because even in in memory data now, you know, there's a lot of memory modules that still can retain data up to 90 minutes even after p power loss. And with something as simple as compressed, compressed air or, or liquid nitrogen, you can actually freeze memory dams now long enough to extract the data from that memory module for up, you know, up, up to two or three hours, right? So lo more than enough time to read valuable data and, and, and even encryption keys off of that memory module. So our, our world's getting more complex and you know, more, the more data out there, the more insatiable need for compute and storage. You know, data management is becoming all, all the more important, you know, to keep all of that going and secure, you know, and, and creating security for those threats. It becomes more and more important. And, and again, especially in virtualized environments where, you know, like hyperconverged infrastructure or vir virtual desktop memories, it's really hard to keep up with all those different attacks, all those different attack surfaces. >>It sounds like what you were just talking about is what AMD has been able to do is identify yet another vulnerability Yes. Another attack surface in memory to be able to, to plug that hole for organizations that didn't, weren't able to do that before. >>Yeah. And, you know, and, and we kind of started out with that belief that security needed to be scalable and, and able to adapt to, to changing environments. So, you know, we, we came up with, you know, the, you know, the, the philosophy or the design philosophy that we're gonna continue to build on those security features generational generations and stay ahead of those evolving attacks. You know, great example is in, in the third gen, you know, epic C P U, that family that we had, we actually created this feature called S E V S N P, which stands for SECURENESS Paging. And it's really all around this, this new attack where, you know, your, the, the, you know, it's basically hypervisor based attacks where people are, you know, the bad actors are writing in to the memory and writing in basically bad data to corrupt the mem, you know, to corrupt the data in the memory. So s e V S and P is, was put in place to help, you know, secure that, you know, before that became a problem. And, you know, you heard in the news just recently that that becoming a more and more, more of a bigger issue. And the great news is that we had that feature built in, you know, before that became a big problem. >>And now you're on the fourth gen, those epic crosses talk of those epic processes. Talk to me a little bit about some of the innovations that are now in fourth gen. >>Yeah, so in fourth gen we actually added, you know, on top of that. So we've, we've got, you know, the sec the, the base of our, our, what we call infinity guard is, is all around the secure boot. The, you know, the, the, the, the secure root of trust that, you know, that we, we work with HPE on the, the strong memory encryption and the S E V, which is the secure encrypted virtualization. And so remember those s s and p, you know, incap capabilities that I talked about earlier. We've actually, in the fourth gen added two x the number of sev v s and P guests for even higher number of confidential VMs to support even more customers than before. Right? We've also added more guest protection from simultaneous multi threading or S M T side channel attacks. And, you know, while it's not officially part of Infinity Guard, we've actually added more APEC acceleration, which greatly benefits the security of those confidential VMs with the larger number of VCPUs, which basically means that you can build larger VMs and still be secured. And then lastly, we actually added even stronger a e s encryption. So we went from 128 bit to 256 bit, which is now military grade encryption on top of that. And, you know, and, and that's really, you know, the de facto crypto cryptography that is used for most of the applications for, you know, customers like the US federal government and, and all, you know, the, is really an essential element for memory security and the H B C applications. And I always say if it's good enough for the US government, it's good enough for you. >>Exactly. Well, it's got to be, talk a little bit about how AMD is doing this together with HPE a little bit about the partnership as we round out our conversation. >>Sure, absolutely. So security is only as strong as the layer below it, right? So, you know, that's why modern security must be built in rather than, than, you know, bolted on or, or, or, you know, added after the fact, right? So HPE and a MD actually developed this layered approach for protecting critical data together, right? Through our leadership and, and security features and innovations, we really deliver a set of hardware based features that, that help decrease potential attack surfaces. With, with that holistic approach that, you know, that safeguards the critical information across system, you know, the, the entire system lifecycle. And we provide the confidence of built-in silicon authentication on the world's most secure industry standard servers. And with a 360 degree approach that brings high availability to critical workloads while helping to defend, you know, against internal and external threats. So things like h hp, root of silicon root of trust with the trusted supply chain, which, you know, obviously AMD's part of that supply chain combined with AMD's Infinity guard technology really helps provide that end-to-end data protection in today's business. >>And that is so critical for businesses in every industry. As you mentioned, the attackers are getting more and more sophisticated, the vulnerabilities are increasing. The ability to have a pa, a partnership like H P E and a MD to deliver that end-to-end data protection is table stakes for businesses. David, thank you so much for joining me on the program, really walking us through what am MD is doing, the the fourth gen epic processors and how you're working together with HPE to really enable security to be successfully accomplished by businesses across industries. We appreciate your insights. >>Well, thank you again for having me, and we appreciate the partnership with hpe. >>Well, you wanna thank you for watching our special program HPE Compute Security. I do have a call to action for you. Go ahead and visit hpe com slash security slash compute. Thanks for watching.
SUMMARY :
Kevin, it's great to have you back on the program. One of the topics that we're gonna unpack in this segment is, is all about cybersecurity. And like you said, the numbers are staggering. Anything that you can share with us that's eye-opening, more eye-opening than some of the stats we already shared? So the real change is, it's accelerating even faster because it's becoming We do know that security, you know, we've talked about it for so long as a, as a a C-suite Yeah, at the highest level it's simply that security is incredibly important to them. And by the way, we only have limited bandwidth, So we try to think like them so that we can protect our customers. our reliance servers that we do ourselves that many others don't do themselves. and you just did a great job of talking about this, that fundamental security approach, of code, not a single bit has been changed by a bad guy, even if the bad guy has the ability to automatically recover if we detect something has been compromised, And one of the ways we do that is through an extension of our Silicon Root of trust with a capability ensure that nothing in the server exchange, whether it's firmware, hardware, configurations, That lets you know, into the conversation, where do they fit in this and in securing the platform. Kevin, thank you so much for joining me on the program, Now I get to talk with David Chang, And thank you for having me. So one of the hot topics of conversation that we can't avoid is security. numerous new threats are popping up and they're just, you know, the, you know, the cost of, of brand reputation you brought up. know, the data in, in flight, the network security, you know, you know, that app, you know, that third leg of, of encryption. the data from that memory module for up, you know, up, up to two or three hours, It sounds like what you were just talking about is what AMD has been able to do is identify yet another in the third gen, you know, epic C P U, that family that we had, Talk to me a little bit about some of the innovations Yeah, so in fourth gen we actually added, you know, Well, it's got to be, talk a little bit about how AMD is with that holistic approach that, you know, that safeguards the David, thank you so much for joining me on the program, Well, you wanna thank you for watching our special program HPE Compute Security.
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Kevin Depew | HPE ProLiant Gen11 – Trusted Security by Design
>>Hey everyone, welcome to the cube. Lisa Martin here with Kevin Depu, senior Director Future Server Architecture at hpe. Kevin, it's great to have you on the program. You're gonna be breaking down everything that's exciting and compelling about Gen 11. How are you today? >>Thanks Lisa, and I'm doing great. >>Good, good, good. So let's talk about ProLiant Gen 11, the next generation of compute. I read some great stats on hpe.com. I saw that Gen 11 added 28 new world records while delivering up to 99% higher performance and 43% more energy efficiency than the previous version. That's amazing. Talk to me about Gen 11. What makes this update so compelling? >>Well, you talked about some of the stats regarding the performance and the power efficiency, and those are excellent. We partnered with amd, we've got excellent performance on these platforms. We have excellent power efficiency, but the advantage of this platform go beyond that. Today we're gonna talk a lot about cybersecurity and we've got a lot of security capabilities in these platforms. We've built on top of the security capabilities that we've had, generation over generation, we've got some new exciting capabilities we'll be talking about. So whether it's the performance, whether it's power efficient, whether it's security, all those capabilities are in this platform. Security is part of our dna. We put it into the design from the very beginning, and we've partnered with AMD to deliver what we think is a very compelling story. >>The security piece is absolutely critical. The to, we could have a, you know, an entire separate conversation on the cybersecurity landscape and the changes there. But one of the things I also noticed in the material on Gen 11 is that HPE says it's fundamental. What do you mean by that and what's new that makes it so fundamental? >>Well, by saying it's fundamental is security is a fundamental part of the platform. You need systems that are reliable. You need systems that have excellent performance. You need systems that are, have very good power efficiency, those things you talked about before, those are all very important to have a good server, but security's a part that's absolutely critical as well. So security is one of the fundamental capabilities of the platform. I had mentioned. We built on top of capabilities, capabilities like our silicon root of trust, which ensures that the firmware stack on these platforms is not compromised. Those are continuing this platform and have been expanded on. We have our trusted supply chain and we've expanded on that as well. We have a lot of security capabilities, our platform certificates, our IEB IDs. There's just a lot of security capabilities that are absolutely fundamental to these being a good solution because as we said, security is fundamental. It's an absolutely critical part of these platforms. >>Absolutely. For companies in every industry. I wanna talk a little bit about about one of the other things that HPE describes Gen 11 as as being uncompromising. And I wanted to understand what that means and what's the value add in it for customers? >>Yeah. Well, by uncompromising means we can't compromise on security. Security to what I said before, it's fundamental. It can't be promised. You have to have security be strong on these platforms. So one of the capabilities, which we're specifically talking about when we talk about Uncompromising is a capability called spdm. We've extended our silicon root of trust, which is one of our key technologies we've had since our Gen 10 platforms. We've extended that through something called spdm. We saw a problem in the industry with the ability to authenticate option cards and other devices in the system. Silicon Root of Trust verified many pieces of firmware in the platform, but one piece that it wasn't verifying was the option cards. And we needed, we knew we needed to solve this problem and we knew we couldn't do it a hundred percent on our own because we needed to work with our partners, whether it's a storage option card, a nick, or even devices in the future, we needed to make sure that we could verify that those were what they were meant to be. >>They weren't compromised, they weren't maliciously compromised and that we could authenticate them. So we worked with industry standards bodies to create the S P M specification. And what that allows us to do is authenticate the option cards in the systems. So that's one of our new capabilities that we've added in these platforms. So we've gone beyond securing all of the things that Silicon Real Trust secured in the past to extending that to the option cards and their firmware as well. So when we boot up one of these platforms, when we hand off to the OS and to the the customers software solution, they can be, they can rest assured that all the things that have run all that, that platform is not compromised. A bad guy has not gone in and changed things and that includes a bad guy with physical access to the platform. So that's why we have unpromised security in these platforms. >>Outstanding. That sounds like great work that's been done there and giving customers that piece of mind where security is concerned is table stakes for everybody across the organization. Kevin, you mentioned partners. I know HPE is extending protection to the partner ecosystem. I wanted to get a little bit more info on that from you. >>Yeah, we've worked with our option co card vendors, numerous partners across the industry to support spdm. We were the ones who kind of went to the, the industry standards bodies and said, we need to solve this problem. And we had agreement from everybody. Everybody agrees this is a problem that had to be solved. So, but to solve it, you've gotta have a partnership. We can't just do it on our own. There's a lot of things that we HPE can solve on our own. This is not one of them to be able to get a method that we could authenticate and trust the option cards in the system. We needed to work with our option card vendors. So that's something that we, we did. And we use also some capabilities that we work with some of our processor vendor partners as well. So working with partners across the industry, we were able to deliver spdm. >>So we know that option card, whether it's a storage card or a Nick Card or, or GPUs in the future, those, those may not be there from day one, but we know that those option cards are what they intended because you could do an attack where you compromise the option card, you compromise the firmware in that option card and option cards have the ability to read and write to memory using something called dma. And if those cards are running firmware that's being created by a bad guy, they can do a lot of, of very costly attacks. I mean we, there's a lot of statistics that showed just how, how costly cybersecurity attacks are. If option cards have been compromised, you can do some really bad things. So this is how we can trust those option cards. And we had to partner with those, those partners in the industry to both define the spec and both sides had to implement to that specification so that we could deliver the solution we're delivering. >>HPE is such a strong partner ecosystem. You did a great job of articulating the value in this for customers. From a security perspective, I know that you're also doing a lot of collaboration and work with amd. Talk to me a little bit about that and the value in it for your joint customers. >>Yeah, absolutely. AMD is a longstanding partner. We actually started working with AMD about 20 years ago when we delivered our first AMD opton based platform, the HP pro, HP Pliant, DL 5 85. So we've got a long engineering relationship with AMD and we've been making products with AMD since they introduced their epic generation processor in 2017. That's when AMD really upped the secure their security game. They created capabilities with their AMD secure processor, their secure encryption virtualization, their memory encryption technologies. And we work with AMD long before platforms actually release. So they come to us with their ideas, their designs, we collaborate with them on things we think are valuable when we see areas where they can do things better, we provide feedback. So we really have a partnership to make these processors better. And it's not something where we just work with them for a short amount of time and deliver a product. >>We're working with them for years before those products come out. So that partnership allows both parties to create better platforms cuz we understand what they're capable of, they understand what our needs are as a, as a server provider. And so we help them make their processors better and they help us make our products better. And that extends in all areas, whether it's performance, power, efficiency, but very importantly in what we're talking about here, security. So they have got an excellent security story with all of their technologies. Again, memory encryption. They, they've got some exceptional technologies there. All their secure encryption, virtualization to secure virtualized environments, those are all things that they excel at. And we take advantage of those in our designs. We make sure that those so work with our servers as part of a solution >>Sounds like a very deeply technically integrated and longstanding relationship that's really symbiotic for both sides. I wanted to get some information from you on HPE server security optimized service. Talk to me about what that is. How does that help HP help its customers get around some of those supply chain challenges that are persistent? >>Yeah, what that is is with our previous generation of products, we announced something called our HPE trusted supply chain and but that was focused on the US market with the solution for gen 11. We've expanded that to other markets. It's, it's available from factories other than the ones in our us it's available for shipping products to other geographies. So what that really was is taking the HPE trusted supply chain and expanding it to additional geographies throughout the world, which provides a big, big benefit for our non-US based customers. And what that is, is we're trying to make sure that the server that we ship out of our factories is indeed exactly what that customer is getting. So try to prevent any possibility of attack in the supply chain going from our factories to the customer. And if there is an attack, we can detect it and the customer knows about it. >>So they won't deploy a system that's been compromised cuz there, there have been high profile cases of supply chain attacks. We don't want to have that with our, our customers buying our Reliant products. So we do things like enable you I Secure Boot, which is an ability to authenticate the, what's called a u i option ROM driver on option cards. That's enabled by default. Normally that's not enabled by default. We enable our high security mode in our ILO product. We include our intrusion tech detection technology option, which is an optional feature, but it's their standard when you buy one of the boxes with this, this capability, this trusted supply chain capability. So there's a lot of capabilities that get enabled at the factory. We also enable server configuration lock, which allows a customer to detect, get a bad guy, modify anything in the platform when it transits from our factory to them. So what it allows a customer to do is get that platform and know that it is indeed what it is intended to be and that it hasn't been attacked and we've now expanded that to many geographies throughout the world. >>Excellent. So much more coverage across the world, which is so incredibly important. As cyber attacks continue to rise year over year, the the ransomware becomes a household word, the ransoms get even more expensive, especially considering the cybersecurity skills gap. I'm just wondering what are some of the, the ways in which everything that you've described with Gen 11 and the HPE partner ecosystem with A and B for example, how does that help customers to get around that security skills gap that is present? >>Well, the key thing there is we care about our customer security. So as I mentioned, security is in our dna. We do, we consider security in everything. We do every update to firm where we make, when we do the hardware design, whatever we're doing, we're always considering what could a bad guy do? What could a bad guy take advantage of and attempt to prevent it. And AMD does the same thing. You can look at all the technologies they have in their AMD processor. They're, they're making sure their processor is secure. We're making sure our platform is secure so the customer doesn't have to worry about it. So that's something the customer can trust us. They can trust the amd so they know that that's not the area where they, they have to expend their bandwidth. They can extend their bandwidth on the security on other parts of the, the solution versus knowing that the platform and the CPU is secure. >>And beyond that, we create features and capabilities that they can take advantage of in the, in the case of amd, a lot of their capabilities are things that the software stack and the OS can take advantage of. We have capabilities on the client side that the software and that they can take advantage of, whether it's server configuration lock or whatever. We try to create features that are easy for them to use to make their environments more secure. So we're making things that can trust the platform, they can trust the processor, they don't have to worry about that. And then we have features and capabilities that lets them solve some of the problems easier. So we're, we're trying to, to help them with that skills gap by making certain things easier and making certain things that they don't even have to worry about. >>Right. It sounds like allowing them to be much more strategic about the security skills that they do have. My last question for you, Kevin, is Gen 11 available now? Where can folks go to get their hands on it? >>So Gen 11 was announced earlier this month. The products will actually be shipping before the end of this year, before the end of 2022. And you can go to our website and find all about our compute security. So it all that information's available on our website. >>Awesome. Kevin, it's been a pleasure talking to you, unpacking Gen 11, the value in it, why security is fundamental to the uncompromising nature with which HPE and partners have really updated the system and the rest of world coverage that you guys are enabling. We appreciate your insights on your time, Kevin. >>Thank you very much, Lisa. Appreciate >>It. And we want to let you and the audience know, check out hpe.com/info/compute for more info on 11. Thanks for watching.
SUMMARY :
Kevin, it's great to have you on the program. So let's talk about ProLiant Gen 11, the next generation of compute. We put it into the design from the very beginning, The to, we could have a, you know, an entire separate conversation So security is one of the fundamental capabilities of the platform. And I wanted to understand what that means and what's the value add in it for customers? a nick, or even devices in the future, we needed to make sure that we could verify in the past to extending that to the option cards and their firmware as well. is table stakes for everybody across the organization. the industry standards bodies and said, we need to solve this problem. the spec and both sides had to implement to that specification so that we could deliver You did a great job of articulating the value in this for customers. So they come to us with their ideas, their designs, we collaborate parties to create better platforms cuz we understand what they're capable of, Talk to me about what that is. possibility of attack in the supply chain going from our factories to the customer. So we do things like enable you I Secure Boot, So much more coverage across the world, which is so incredibly important. So that's something the customer can trust us. We have capabilities on the client side that the It sounds like allowing them to be much more strategic about the security skills that they do have. So it all that information's available on our website. Kevin, it's been a pleasure talking to you, unpacking Gen 11, the value in It. And we want to let you and the audience know, check out hpe.com/info/compute
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Kevin Miller and Ed Walsh | AWS re:Invent 2022 - Global Startup Program
hi everybody welcome back to re invent 2022. this is thecube's exclusive coverage we're here at the satellite set it's up on the fifth floor of the Venetian Conference Center and this is part of the global startup program the AWS startup showcase series that we've been running all through last year and and into this year with AWS and featuring some of its its Global Partners Ed wallson series the CEO of chaos search many times Cube Alum and Kevin Miller there's also a cube Alum vice president GM of S3 at AWS guys good to see you again yeah great to see you Dave hi Kevin this is we call this our Super Bowl so this must be like your I don't know uh World Cup it's a pretty big event yeah it's the World Cup for sure yeah so a lot of S3 talk you know I mean that's what got us all started in 2006 so absolutely what's new in S3 yeah it's been a great show we've had a number of really interesting launches over the last few weeks and a few at the show as well so you know we've been really focused on helping customers that are running Mass scale data Lakes including you know whether it's structured or unstructured data we actually announced just a few just an hour ago I think it was a new capability to give customers cross-account access points for sharing data securely with other parts of the organization and that's something that we'd heard from customers is as they are growing and have more data sets and they're looking to to get more out of their data they are increasingly looking to enable multiple teams across their businesses to access those data sets securely and that's what we provide with cross-count access points we also launched yesterday our multi-region access point failover capabilities and so again this is where customers have data sets and they're using multiple regions for certain critical workloads they're now able to to use that to fail to control the failover between different regions in AWS and then one other launch I would just highlight is some improvements we made to storage lens which is our really a very novel and you need capability to help customers really understand what storage they have where who's accessing it when it's being accessed and we added a bunch of new metrics storage lens has been pretty exciting for a lot of customers in fact we looked at the data and saw that customers who have adopted storage lens typically within six months they saved more than six times what they had invested in turning storage lens on and certainly in this environment right now we have a lot of customers who are it's pretty top of mind they're looking for ways to optimize their their costs in the cloud and take some of those savings and be able to reinvest them in new innovation so pretty exciting with the storage lens launch I think what's interesting about S3 is that you know pre-cloud Object Store was this kind of a niche right and then of course you guys announced you know S3 in 2006 as I said and okay great you know cheap and deep storage simple get put now the conversations about how to enable value from from data absolutely analytics and it's just a whole new world and Ed you've talked many times I love the term yeah we built chaos search on the on the shoulders of giants right and so the under underlying that is S3 but the value that you can build on top of that has been key and I don't think we've talked about his shoulders and Giants but we've talked about how we literally you know we have a big Vision right so hard to kind of solve the challenge to analytics at scale we really focus on the you know the you know Big Data coming environment get analytics so we talk about the on the shoulders Giants obviously Isaac Newton's you know metaphor of I learned from everything before and we layer on top so really when you talk about all the things come from S3 like I just smile because like we picked it up naturally we went all in an S3 and this is where I think you're going Dave but everyone is so let's just cut the chase like so any of the data platforms you're using S3 is what you're building but we did it a little bit differently so at first people using a cold storage like you said and then they ETL it up into a different platforms for analytics of different sorts now people are using it closer they're doing caching layers and cashing out and they're that's where but that's where the attributes of a scale or reliability are what we did is we actually make S3 a database so literally we have no persistence outside that three and that kind of comes in so it's working really well with clients because most of the thing is we pick up all these attributes of scale reliability and it shows up in the clients environments and so when you launch all these new scalable things we just see it like our clients constantly comment like one of our biggest customers fintech in uh Europe they go to Black Friday again black Friday's not one days and they lose scale from what is it 58 terabytes a day and they're going up to 187 terabytes a day and we don't Flinch they say how do you do that well we built our platform on S3 as long as you can stream it to S3 so they're saying I can't overrun S3 and it's a natural play so it's it's really nice that but we take out those attributes but same thing that's why we're able to you know help clients get you know really you know Equifax is a good example maybe they're able to consolidate 12 their divisions on one platform we couldn't have done that without the scale and the performance of what you can get S3 but also they saved 90 I'm able to do that but that's really because the only persistence is S3 and what you guys are delivering but and then we really for focus on shoulders Giants we're doing on top of that innovating on top of your platforms and bringing that out so things like you know we have a unique data representation that makes it easy to ingest this data because it's kind of coming at you four v's of big data we allow you to do that make it performant on s3h so now you're doing hot analytics on S3 as if it's just a native database in memory but there's no memory SSC caching and then multi-model once you get it there don't move it leverage it in place so you know elasticsearch access you know Cabana grafana access or SQL access with your tools so we're seeing that constantly but we always talk about on the shoulders of giants but even this week I get comments from our customers like how did you do that and most of it is because we built on top of what you guys provided so it's really working out pretty well and you know we talk a lot about digital transformation of course we had the pleasure sitting down with Adam solipski prior John Furrier flew to Seattle sits down his annual one-on-one with the AWS CEO which is kind of cool yeah it was it's good it's like study for the test you know and uh and so but but one of the interesting things he said was you know we're one of our challenges going forward is is how do we go Beyond digital transformation into business transformation like okay well that's that's interesting I was talking to a customer today AWS customer and obviously others because they're 100 year old company and they're basically their business was they call them like the Uber for for servicing appliances when your Appliance breaks you got to get a person to serve it a service if it's out of warranty you know these guys do that so they got to basically have a you know a network of technicians yeah and they gotta deal with the customers no phone right so they had a completely you know that was a business transformation right they're becoming you know everybody says they're coming a software company but they're building it of course yeah right on the cloud so wonder if you guys could each talk about what's what you're seeing in terms of changing not only in the sort of I.T and the digital transformation but also the business transformation yeah I know I I 100 agree that I think business transformation is probably that one of the top themes I'm hearing from customers of all sizes right now even in this environment I think customers are looking for what can I do to drive top line or you know improve bottom line or just improve my customer experience and really you know sort of have that effect where I'm helping customers get more done and you know it is it is very tricky because to do that successfully the customers that are doing that successfully I think are really getting into the lines of businesses and figuring out you know it's probably a different skill set possibly a different culture different norms and practices and process and so it's it's a lot more than just a like you said a lot more than just the technology involved but when it you know we sort of liquidate it down into the data that's where absolutely we see that as a critical function for lines of businesses to become more comfortable first off knowing what data sets they have what data they they could access but possibly aren't today and then starting to tap into those data sources and then as as that progresses figuring out how to share and collaborate with data sets across a company to you know to correlate across those data sets and and drive more insights and then as all that's being done of course it's important to measure the results and be able to really see is this what what effect is this having and proving that effect and certainly I've seen plenty of customers be able to show you know this is a percentage increase in top or bottom line and uh so that pattern is playing out a lot and actually a lot of how we think about where we're going with S3 is related to how do we make it easier for customers to to do everything that I just described to have to understand what data they have to make it accessible and you know it's great to have such a great ecosystem of partners that are then building on top of that and innovating to help customers connect really directly with the businesses that they're running and driving those insights well and customers are hours today one of the things I loved that Adam said he said where Amazon is strategically very very patient but tactically we're really impatient and the customers out there like how are you going to help me increase Revenue how are you going to help me cut costs you know we were talking about how off off camera how you know software can actually help do that yeah it's deflationary I love the quote right so software's deflationary as costs come up how do you go drive it also free up the team and you nail it it's like okay everyone wants to save money but they're not putting off these projects in fact the digital transformation or the business it's actually moving forward but they're getting a little bit bigger but everyone's looking for creative ways to look at their architecture and it becomes larger larger we talked about a couple of those examples but like even like uh things like observability they want to give this tool set this data to all the developers all their sres same data to all the security team and then to do that they need to find a way an architect should do that scale and save money simultaneously so we see constantly people who are pairing us up with some of these larger firms like uh or like keep your data dog keep your Splunk use us to reduce the cost that one and one is actually cheaper than what you have but then they use it either to save money we're saving 50 to 80 hard dollars but more importantly to free up your team from the toil and then they they turn around and make that budget neutral and then allowed to get the same tools to more people across the org because they're sometimes constrained of getting the access to everyone explain that a little bit more let's say I got a Splunk or data dog I'm sifting through you know logs how exactly do you help so it's pretty simple I'll use dad dog example so let's say using data dog preservability so it's just your developers your sres managing environments all these platforms are really good at being a monitoring alerting type of tool what they're not necessarily great at is keeping the data for longer periods like the log data the bigger data that's where we're strong what you see is like a data dog let's say you're using it for a minister for to keep 30 days of logs which is not enough like let's say you're running environment you're finding that performance issue you kind of want to look to last quarter in last month in or maybe last Black Friday so 30 days is not enough but will charge you two eighty two dollars and eighty cents a gigabyte don't focus on just 280 and then if you just turn the knob and keep seven days but keep two years of data on us which is on S3 it goes down to 22 cents plus our list price of 80 cents goes to a dollar two compared to 280. so here's the thing what they're able to do is just turn a knob get more data we do an integration so you can go right from data dog or grafana directly into our platform so the user doesn't see it but they save money A lot of times they don't just save the money now they use that to go fund and get data dog to a lot more people make sense so it's a creativity they're looking at it and they're looking at tools we see the same thing with a grafana if you look at the whole grafana play which is hey you can't put it in one place but put Prometheus for metrics or traces we fit well with logs but they're using that to bring down their costs because a lot of this data just really bogs down these applications the alerting monitoring are good at small data they're not good at the big data which is what we're really good at and then the one and one is actually less than you paid for the one so it and it works pretty well so things are really unpredictable right now in the economy you know during the pandemic we've sort of lockdown and then the stock market went crazy we're like okay it's going to end it's going to end and then it looked like it was going to end and then it you know but last year it reinvented just just in that sweet spot before Omicron so we we tucked it in which which was awesome right it was a great great event we really really missed one physical reinvent you know which was very rare so that's cool but I've called it the slingshot economy it feels like you know you're driving down the highway and you got to hit the brakes and then all of a sudden you're going okay we're through it Oh no you're gonna hit the brakes again yeah so it's very very hard to predict and I was listening to jassy this morning he was talking about yeah consumers they're still spending but what they're doing is they're they're shopping for more features they might be you know buying a TV that's less expensive you know more value for the money so okay so hopefully the consumer spending will get us out of this but you don't really know you know and I don't yeah you know we don't seem to have the algorithms we've never been through something like this before so what are you guys seeing in terms of customer Behavior given that uncertainty well one thing I would highlight that I think particularly going back to what we were just talking about as far as business and digital transformation I think some customers are still appreciating the fact that where you know yesterday you may have had to to buy some Capital put out some capital and commit to something for a large upfront expenditure is that you know today the value of being able to experiment and scale up and then most importantly scale down and dynamically based on is the experiment working out am I seeing real value from it and doing that on a time scale of a day or a week or a few months that is so important right now because again it gets to I am looking for a ways to innovate and to drive Top Line growth but I I can't commit to a multi-year sort of uh set of costs to to do that so and I think plenty of customers are finding that even a few months of experimentation gives them some really valuable insight as far as is this going to be successful or not and so I think that again just of course with S3 and storage from day one we've been elastic pay for what you use if you're not using the storage you don't get charged for it and I think that particularly right now having the applications and the rest of the ecosystem around the storage and the data be able to scale up and scale down is is just ever more important and when people see that like typically they're looking to do more with it so if they find you usually find these little Department projects but they see a way to actually move faster and save money I think it is a mix of those two they're looking to expand it which can be a nightmare for sales Cycles because they take longer but people are looking well why don't you leverage this and go across division so we do see people trying to leverage it because they're still I don't think digital transformation is slowing down but a lot more to be honest a lot more approvals at this point for everything it is you know Adam and another great quote in his in his keynote he said if you want to save money the Cloud's a place to do it absolutely and I read an article recently and I was looking through and I said this is the first time you know AWS has ever seen a downturn because the cloud was too early back then I'm like you weren't paying attention in 2008 because that was the first major inflection point for cloud adoption where CFO said okay stop the capex we're going to Opex and you saw the cloud take off and then 2010 started this you know amazing cycle that we really haven't seen anything like it where they were doubling down in Investments and they were real hardcore investment it wasn't like 1998 99 was all just going out the door for no clear reason yeah so that Foundation is now in place and I think it makes a lot of sense and it could be here for for a while where people are saying Hey I want to optimize and I'm going to do that on the cloud yeah no I mean I've obviously I certainly agree with Adam's quote I think really that's been in aws's DNA from from day one right is that ability to scale costs with with the actual consumption and paying for what you use and I think that you know certainly moments like now are ones that can really motivate change in an organization in a way that might not have been as palatable when it just it didn't feel like it was as necessary yeah all right we got to go give you a last word uh I think it's been a great event I love all your announcements I think this is wonderful uh it's been a great show I love uh in fact how many people are here at reinvent north of 50 000. yeah I mean I feel like it was it's as big if not bigger than 2019. people have said ah 2019 was a record when you count out all the professors I don't know it feels it feels as big if not bigger so there's great energy yeah it's quite amazing and uh and we're thrilled to be part of it guys thanks for coming on thecube again really appreciate it face to face all right thank you for watching this is Dave vellante for the cube your leader in Enterprise and emerging Tech coverage we'll be right back foreign
SUMMARY :
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Kevin Farley, MariaDB | AWS re:Invent 2022 - Global Startup Program
>>Well, hello everybody at John Wallace here on the Cube, and glad to have you along here for day two of our coverage here at AWS Reinvent 22. We're up in the global startup program, which is part of AWS's Startup Showcase, and I've got Kevin Farley with me. He is the director of Strategic Alliances with Maria Day db. And Kevin, good to see you this morning. Good to see you, John. Thanks for joining us. Thank >>You. >>Appreciate it. Yeah. First off, tell us about Maria db. Sure. Obviously data's your thing. Yep. But to share that with some folks at home who might not be familiar with your offering. >>Yeah. So Maria DB's been around as a corporate entity for 10 plus years, and we have a massive customer base. You know, there's a billion downloads from Docker Hub, 75% of the Fortune 500. We have an enormous sea of really happy users. But what we realize is that all of these users are really thinking about what do we, what does it mean to transform it? What does cloud modernization mean? And how do we build a strategy on something we really love to drive it into the cloud and take it to the future. So what we launched about two years ago, two and a half years ago, is Skye. It's our database as a service. It leverages all the best elements, what we provide on the enterprise platform. It marries to the AWS cloud, and it really provides the best of both worlds for our >>Customers. So in your thought then, what, what problem is that solving? >>I think what you see in the overall database market is that many people have been using what we would call legacy technology. There's been lots of sort of stratification and mixes of different database solutions. All of them come with some promise, and all of 'em come with a lot of compromise. So I think what the market is really looking for is something that can take what they know and love, can bring it to the cloud and can survive the port drive the performance and scale. That completely changes the landscape, especially as you think about what modern data needs look like, right? What people did 10 years ago with the exponential scale of data no longer works. And what they need is something that not only can really deliver against their core business values and their core business deliverables, but gets 'em to the future. How do we drive something new? How do we innovate? How do we change the game? And I think what we built with AWS really delivers what we call cloud scale. It's taking something that is the best technology, and I as a V can build, marrying it to, you know, Kubernetes layer, marrying it to global availability, thinking about having true global high availability across all of your environments and really delivering that to customers through an integrated partnership. >>Could we see this coming? I mean, because you know data, right? I mean, yeah, we, we, everybody talked about the tsunami of growth, you know, >>Back 10 >>Sure. 11 years ago. But, but maybe the headlights didn't go far enough or, or, but, but you could see that there was going to be crunch time. >>There's no doubt. And I think that this has been a, there's, there's been these sort of pocket solutions, right? So if you think at the entire no sequel world, right? People said, oh, I need scale, I can get it, but what do I have to give up asset compliance? So I have to change the way I think about what data is and how I, I can govern it. So there's been these things that deliver on half the promise, but there's never been something that comes together and really drives what we deliver through CIQ is something called expand. So distributed SQL really tied to the SQL Query language, having that asset data. So having everything you need without the compromise built on the cloud allows you to scale out and allows you to think about, I can actually do exponential layers of, of data, data modeling, data querying, complete read, write, driving that forward. And I think it gives us a whole nother dynamic that we can deliver on in a way that hasn't been before. And I think that's kind of the holy grail of what people are looking for is how am I building modern applications and how do I have a database in the cloud that's really gonna support >>It? You know, you talk about distributed, you know, sequel and, and I mean, there's a little mystery behind it, isn't there? Or at least maybe not mystery. There's a little, I guess, confusion or, or just misunderstanding. I mean, I, how, nail that down a little bit. I >>Would say the best way to say it, honestly, this is the great thing, is it people believe it's too good to be true. And I think what we see over and over >>Again, you know, what they say about that. >>But this is the great part is, you know, you know, we've just had two taste studies recently with aws, with HIT labs and Certified power, both on expand, both proof in the pudding. They did the POCs, they're like, oh my God, this works. If you watch the keynote yesterday, you know, Adam had a slide that was, you know, as big as the entire room and it highlighted Samsung and they said, you know, we're doing 80,000 requests per second. So the, you know, the story there is that AWS is able as, as an entity with their scale and their breadth to handle that kind of workload. But guess what that is? That's MariaDB expand underneath there driving all of that utilization. So it's already there, it's already married, it's already in the cloud, and now we're taking it to a completely different level with a fully managed database solution. Right? >>How impressive is that? Right? I mean, you would think that somebody out there who, I mean that that volume, that kind of capacity is, is mind blowing. >>I mean, to your kind of previous point, it's like one of those things, do I see what's coming and it's here, right? You know, it's, is it actually ever gonna be possible? And now we're showing that it really is on a daily basis for some of the biggest brands in the world. We're also seeing companies moving off not only transitioning from, you know, MariaDB or myse, but all of the big licensed, you know, conversions as well. So you think about Oracle DBS Bank is one of our biggest customers, one of the largest Oracle conversions in the world onto MariaDB. And now thinking about what is the promise of connecting that to the cloud? How do you take things that you're currently doing, OnPrem delivering a hybrid model that also then starts to say, Hey, here's my path to cloud modernization. Skye gives me that bridge. And then you take it one layer farther and you think about multi-cloud, right? That's one of the things that's critical that ISVs can really only deliver in a meaningful way, is how can we have a solution for a customer that we can take to any availability zone. We can have performance, proximity, cost, proximity. We're always able to have that total data dexterity across any environment we need and we can build on that for the future. >>So if, if we're talking about cloud database and there's so many good things going forward here. You're talking about easy use and scalability and all that. But as with ever have you talked about this, there's some push and there's some pull. Yeah. So, so what's the, what's the other side that's still, you know, you that you think has to be >>Addressed? And I think that's a great question. So there's, we see that there's poll, right? We've seen these deals, this pipeline growth, this, there's great adoption. But what I think we're still not at the point of massive hockey stick adoption is that customers still don't fully understand the capabilities distributed SQL and the power they can actually deliver. So the more we drive case studies, the more we drive POCs, the more we prove the model, I think you're gonna see just a massive adoption scale. And I also think customers are tired of doing lots of different things in lots of different pockets. So neither one of the key elements of Sky SQL is we can do both transactional and analytical data out of the same database driven by the same proxy. So what, instead of having DBAs and developers try to figure out, okay, I'm gonna pull from this database here. >>Yeah. That there, it's, it's this big spaghetti wire concept that is super expensive and super time intensive. So the ability to write modern applications and pull data from both pockets and really be able to have that as a seamless entity and deliver that to customers is massive. I mean, another part of the keynote yesterday was a new deliverable, like kind of no etl. Adam talked about Aurora and Redshift and the massive complexity of what used to exist for getting data back and forth. You also have to pay for two different databases. It's super expensive. So I think the idea that you can take the real focus of AWS and US is customer value. How do you deliver that next thing that changes the game? Always utilizes AWS delivers on that promise, but then takes a net new technology that really starts to think about how do we bring things together? How do we make it more simple? How do we make it more powerful? And how do we deliver more customer value as we go forward? >>But you know, if, if I'm, I'm still an on-prim guy, just pretend I'm not saying I am. Just pretend I just for the sake of the discussion here, it's like I just can't let it go. Yeah. Right. I, I still, you know, there's control, there's the known versus the unknown. The uncertain. Yeah. So twist my arm just a little bit more and get me over the hum. >>Well, first of all, you don't have to, right? And there's gonna be some industries and some verticals that will always have elements of their business that will be OnPrem. Guess what? We make the best based in the world. It can be MariaDB, but there's those that then say, these, these elements of our business are gonna be far more effective moving to the cloud. So we give you Skye, there's a natural symbiotic bridge between everything we do and how we deliver it. Where you can be hybrid and it's great. You can adopt the cloud as your business needs grow. And you can have multi-cloud. This is that, that idea that you can, can have your cake and eat it too, right? You can literally have all these elements of your business met without these big pressure to say, you gotta throw that away. You gotta move to this. It's really, how do you kind of gracefully adopt the cloud in a way that makes sense for your business? Where are you trying to drive your business? Is it time to value, right? Is it governance? Is it is there's different elements of what matters the most to individual businesses. You know, we wanna address those and we can address >>Those. So you're saying you don't have to dive >>In, you don't have to dive >>In. You, you can, you can go ankle deep, knee deep, whatever you wanna >>Do. Absolutely. And you know, some of the largest MariaDB users still have massive, massive on-prem implementations. And that's okay. But there's elements that are starting to fall behind. There's cost savings, there's things that they need to do in the cloud that they can't do. OnPrem. And that's where expand Skye really says, okay, here is your platform. Grow as you want to, migrate as you want to. And we're there every step along the way. We, we also provide a whole Sky DBA team. Some guys just say, I wanna get outta the database world at all. This is, this is expensive, it's costly and it's difficult to be an expert. So you can bring in our DBA team and they'll man and run, they'll, they'll run your entire environment. They'll optimize it, you know, they'll troubleshoot it, they'll bug fix, they'll do everything for you. So you can just say, I just wanna focus on building phenomenal applications for my customers. And the database game as we knew it is not something that I know I want to invest in anymore. Right. I wanna make that transition >>That makes that really, yeah. You know, I mean really attractive to a lot of people because you are, you talk about a lot of headache there. Yeah. So let's talk about AWS before Sure. I let you go just about that relationship. Okay. You've talked about the platform that it provides you and, and obviously the benefits, but just talk about how you've worked with AWS over the years Yep. And, and how you see that relationship allowing you to expand your services, no pun intended. >>For sure. So, I mean, I would start with the way we even contemplated architecture. You know, we worked with the satisfactory team. We made sure that the things that we built were optimized in their environment. You know, I think it was a lot of collaboration on how does this combined entity really make the most value for our customers? How does it make the most sense for our developers as we build it out? Then we work in the, in the global startup team. So the strategic element of who we are, not all startups are created equal, right? We have, right, we have 75% of the Fortune 100, we've got over a billion downloads. So, you know, we come in with promise. And the reason this partnership is so valuable and the reason there's so much investment going forward is cuz what really, what do the cloud guys care about? >>The very, very most, they want all of these mission critical, big workloads that are on prem to land in their cloud. What do we have a massive, massive TAM sitting out there, these customers that could go to aws. So we both see, like if we can deliver incredible value to that customer base, these big workloads will end up in aws. They'll use other AWS services. And as we scale and grow, you know, we have that platform that's already built for it. So I think that when you go back to like the tenants, the core principles of aws, the one that always stands out, the one that we always kind of lean back on is, are we delivering customer value? Is this the best thing for the customer? Because we do have some competition just like many other, other partners do, right? So there is Aurora and there is rds and there is times when that's a great service for a customer. But when people are really thinking about where do I need my database to go? Where do I really need to be set for the future growth? Where am I gonna get the kind of ROI I need going forward? That's where you can go, Hey, sky sql, expand distributed sql. This is the best game in town. It's built on aws and collectively, you know, we're gonna present that to a customer. I'm >>Sold. Done. >>I love it. Right? >>Maria db, check 'em out, they're on the show floor. Great traffic. I know at at the, at the booth. They're here at AWS Reinvent. So check 'em out. Maria db. Thanks >>Kevin. Hey, thanks John. Appreciate your >>Time. Appreciate Great. That was great. Right back with more, you're watching the cube, the leader in high tech coverage.
SUMMARY :
Well, hello everybody at John Wallace here on the Cube, and glad to have you along here for day two of But to share that with some folks at home who might not be familiar with your offering. drive it into the cloud and take it to the future. So in your thought then, what, what problem is that solving? I think what you see in the overall database market is that many people have or, but, but you could see that there was going to be crunch time. the compromise built on the cloud allows you to scale out and allows you to think about, You know, you talk about distributed, you know, sequel and, and I And I think what we see over and over But this is the great part is, you know, you know, we've just had two taste studies recently with aws, I mean, you would think that somebody out there who, And then you take it one layer farther and you think about multi-cloud, But as with ever have you talked about this, there's some push and there's some So neither one of the key elements of Sky SQL is we can do both transactional and analytical So I think the idea that you can take the real focus of AWS and But you know, if, if I'm, I'm still an on-prim guy, just pretend I'm not saying I am. So we give you Skye, there's a natural symbiotic bridge between everything So you're saying you don't have to dive And the database game as we knew it is not something that I know I want to invest in anymore. You know, I mean really attractive to a lot of people because you are, you talk about a lot of headache We made sure that the things that we built were optimized And as we scale and grow, you know, we have that platform that's already built for it. I love it. at the booth. Right back with more, you're watching the cube, the leader in
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Kevin Zawodzinski, Commvault & Paul Meighan, Amazon S3 & Glacier | AWS re:Invent 2022
(upbeat music) >> Welcome back friends. It's theCUBE LIVE in Las Vegas at the Venetian Expo, covering the first full day of AWS re:Invent 2022. I'm Lisa Martin, and I have the privilege of working much of this week with Dave Vellante. >> Hey. Yeah, it's good to be with you Lisa. >> It's always good to be with you. Dave, this show is, I can't say enough about the energy. It just keeps multiplying as I've been out on the show floor for a few minutes here and there. We've been having great conversations about cloud migration, digital transformation, business transformation. You name it, we're talking about it. >> Yeah, and I got to say the soccer Christians are really happy. (Lisa laughing) >> Right? Because the USA made it through. So that's a lot of additional excitement. >> That's true. >> People were crowded around the TVs at lunchtime. >> They were, they were. >> So yeah, but back to data. >> Back to data. We have a couple of guests here. We're going to be talking a lot with customer challenges, how they're helping to overcome them. Please welcome Kevin Zawodzinski, VP of Sales Engineering at COMMVAULT. >> Thank you. >> And Paul Meighan, Director of Product Management at AWS. Guys, it's great to have you on the program. Thank you for joining us. >> Thanks for having us. >> Thanks for having us. >> Isn't it great to be back in person? >> Paul: It really is. >> Kevin: Hell, yeah. >> You cannot replicate this on virtual, you just can't. It's nice to see how excited people are to be back. There's been a ton of buzz on our program today about Adam's keynote this morning. Amazing. A lot of synergies with the direction, Paul, that AWS is going in and where we're seeing its ecosystem as well. Paul, first question for you. Talk about, you know, in the customer environment, we know AWS is very customer obsessed. Some of the main challenges customers are facing today is they really continue this business transformation, this digital transformation, and they move to cloud native apps. What are some of those challenges and how do you help them eradicate those? >> Well, I can tell you that the biggest contribution that we make is really by focusing on the fundamentals when it comes to running storage at scale, right? So Amazon S3 is unique, distributed architecture, you know, it really does deliver on those fundamentals of durability, availability, performance, security and it does it at virtually unlimited scale, right? I mean, you guys have talked to a lot of storage folks in the industry and anyone who's run an estate at scale knows that doing that and executing on those fundamentals day after day is just super hard, right? And so we come to work every day, we focus on the fundamentals, and that focus allows customers to spend their time thinking about innovation instead of on how to keep their data durably stored. >> Well, and you guys both came out of the storage world. >> Right. >> Yeah, yeah. >> It was a box world, (Kevin laughs) and it ain't no more. >> Kevin: That's right, absolutely. >> It's a service and a service of scale. >> Kevin: Yeah. So architecture matters, right? >> Yeah. >> Yeah. >> Paul, talk a little bit about, speaking of innovation, talk about the evolution of S3. It's been around for a while now. Everyone knows it, loves it, but how has AWS architected it to really help meet customers where they are? >> Paul: Right. >> Because we know, again, there's that customer first focus. You write the press release down the road, you then follow that. How is it evolving? >> Well, I can tell you that architecture matters a lot and the architecture of Amazon S3 is pretty unique, right? I think, you know, the most important thing to understand about the architecture of S3 is that it is truly a regional service. So we're laid out across a minimum of 3 Availability Zones, or AZs, which are physically separated and isolated and have a distance of miles between them to protect against local events like floods and fires and power interruption, stuff like that. And so when you give us an object, we distribute that data across that minimum of 3 Availability Zones and then within multiple devices within each AZ, right? And so what that means is that when you store data with us, your data is on storage that's able to tolerate the failure of multiple devices with no impact to the integrity of your data, which is super powerful. And then again, super hard to do when you're trying to roll your own. So that's sort of a, like an overview of the architecture. In terms of how we think about our roadmap, you know, 90% of our roadmap comes directly from what customers tell us matters, and that's a tenant of how we think about customer obsession at AWS and it really is how we drive a roadmap. >> Right, so speaking of customers Kevin, what are customers asking you guys- >> Yeah. >> for, how does it relate to what you're doing with S3? >> Yeah, it's a wonderful question and one that is actually really appropriate for us being at re:Invent, right? So we got, last three years we've had customers here with us on stage talking about it. First of all, 3 years ago we did a virtual session, unfortunately, but glad to be back as you mentioned, with Coca-Cola and theirs was about scale and scope and really about how can we protect hundreds of thousands of objects, petabyte to data, in a simple and secure way, right. Then last year we actually met with a ACT, Inc. as well and co-presented with them and really talked about how we could protect modern workloads and their modern workloads around whether it was Aurora or as well as EKS and how they continue to evolve as well. And, last but not least it's going to be, this year we're talking with Illinois State University as well about how they're going to continue to grow, adapt and really leverage AWS and ourselves to further their support of their teachers and their staff. So that is really helping us quite a bit to continue to move forward. And the things we're doing, again, with our customer base it's really around, focused on what's important to them, right? Customer obsession, how are we working with that? How are we making sure that we're listening to them? Again, working with AWS to understand how can we evolve together and really ultimately their journeys. As you heard, even with those 3 examples they're all very different, right? And that's the point, is that everybody's at a different point in the journey. They're at a different place from a modernization perspective. So we're helping them evolve, as they're helping us evolve as well, and transform with AWS. >> So very mature COMMVAULT stack, the S3 bucket and all the other capabilities. Paul, you just talked about coming together- >> Right. >> Dave: for your customers. >> Yeah, yeah, absolutely. And just, you know, we were talking the other day, Paul and I were talking the other day, it's been, you know, we've worked with AWS, with integration since 2009, right? So a long time, right? I mean, for some that may not seem like a long time ago, but it is, right? It's, you know, over a decade of time and we've really advanced that integration considerably as well. >> What are some of the things that, I don't know if you had a chance to see the keynote this morning? >> Yeah, a little bit. >> What are some of the things that there was, and in fact this is funny, funny data point for you on data. One of my previous guests told me that Adam Selipsky spent exactly 52 minutes talking about data this morning. 52 minutes. >> Okay. >> That there's a data point. But talk about some of the things that he talked about, the direction AWS is going in, obviously new era in the last year. Talk about what you heard and how you think that will evolve the COMMVAULT-AWS relationship. >> Yeah, I think part of that is about flexibility, as Paul mentioned too, architecture matters, right? So as we evolve and some of the things that we pride ourselves on is that we developed our systems and our software and everything else to not worry about what do I have to build to today but how do I continue to evolve with my customer base? And that's what AWS does, right? And continues to do. So that's really how we would see the data environment. It's really about that integration. As they grow, as they add more features we're going to add more features as well. And we're right there with them, right? So there's a lot of things that we also talk about, Paul and I talk about, around, you know, how do we, like Graviton3 was brought up today around some of the innovations around that. We're supporting that with Auto Scale right now, right? So we're right there releasing, right when AWS releasing, co-developing things when necessary as well. >> So let's talk about security a little bit. First of all, what is COMMVAULT, right? You're not a security company but you're an adjacency to security. It's sort of, we're rethinking security. >> Kevin: Yep. >> including data protection, not a bolt-on anymore. You guys both have a background in that world and I'm sure that resonates. >> Yeah. >> So what is the security play here? What role does COMMVAULT play? I think we know pretty well what role AWS plays, but love to hear, Paul, your thoughts as well on security. >> Yeah, I'll start I guess. >> Go on Paul. >> Okay. Yeah, so on the security side of things, there's a quite a few things. So again, on the development side of things, we do things like file anomaly detection, so seeing patterns in data. We talked a lot about analytics as well in the keynote this morning. We look at what is happening in the customer environment, if there's something odd or out of place that's happening, we can detect that and we'll notify people. And we've seen that, we have case studies about that. Other things we do are simple, simple but elegant. Is with our security dashboard. So we'll use our security dashboard to show best practices. Are they using Multi-Factor Authentication? Are you viewing password complexity? You know, things like that. And allows people to understand from a security landscape perspective, how do we layer in protection with their other systems around security. We don't profess to be the security company, or a security company, but we help, you know, obviously add in those additional layers. >> And obviously you're securing, you know, the S3 piece of it. >> Mmmhmm. >> You know, from your standpoint because building it in. >> That's right. And we can tell you that for us, security is job zero. And anyone at AWS will tell you that, and not only that but it will always be our top priority. Right from the infrastructure on down. We're very focused on our shared responsibility model where we handle security from the hypervisor, or host operating system level, down to the physical security of the facilities in which our services run and then it's our customer's responsibility to build secure applications, right. >> Yeah. And you talk about Graviton earlier, Nitro comes into play and how you're, sort of, fencing off, you know, the various components of the system from the operating system, the VMs, and then that is designed in and that's a new evolution that it comes as part of the package. >> Yeah, absolutely. >> Absolutely. >> Paul, talk a little bit about, you know, security, talking about that we had so many conversations this year alone about the threat landscape and how it's dramatically changing, it's top of mind for everybody. Huge rise in ransomware attacks. Ransomware is now, when are we going to get hit? How often? What's the damage going to be? Rather than, are we going to get hit? It's, unfortunately it's progressed in that direction. How does ensuring data security impact how you're planning the roadmap at AWS and how are partners involved in shaping that? >> Right, so like I said, you know, 90% of our roadmap comes from what customers tell us matters, right? And clearly this is an issue that matters very much to customers right now, right? And so, you know, we're certainly hearing that from customers, and COMMVAULT, and partners like COMMVAULT have a big role to play in helping customers to secure and protect their applications, right? And that's why it's so critical that we come together here at re:Invent and we have a bunch of time here at the show with the COMMVAULT technical folks to talk through what they're hearing from customers and what we're hearing. And we have a number of regular touch points throughout the year as well, right? And so what COMMVAULT gets from the relationship is, sort of, early access and feedback into our features and roadmap. And what we get out of it really is that feedback from that large number of customers who interface with Amazon S3 through COMMVAULT. Who are using S3 as a backup target behind COMMVAULT, right? And so, you know, that partnership really allows us to get close to those customers and understand what really matters to them. >> Are you doing joint engineering, or is it more just, hey here you go COMMVAULT, here's the tools available, go, go build. Can you address that? >> Yeah, no, absolutely. There's definitely joint engineering like even things around, you know, data migration and movement of data, we integrate really well and we talk a lot about, hey, what are you, like as Paul mentioned, what are you seeing out there? We actually, I just left a conversation about an hour ago where we're talking about, you know, where are we seeing placement of data and how does that matter to, do you put it on, you know, instant access, or do you put it on Glacier, you know, what should be the best practices? And we tell them, again, some of the telemetry data that we have around what do we see customers doing, what's the patterns of data? And then we feed that back in and we use that to create joint solutions as well. >> You know, I wonder if we could talk about cloud, you know, optimization of cloud costs for a minute. That's obviously a big discussion point in the hallways with customers. And on your earnings call you guys talked about specifically some customers and they specifically mentioned, for example, pushing storage to lower cost tiers. So you brought up Glacier just then. What are you seeing in the field in that regard? How are customers taking advantage of that? And where does COMMVAULT play in, sort of, helping make that decision? >> You want to take part one or you want me to take it? >> I can take part one. I can tell you that, you know, we're very focused on helping customers optimize costs, however necessary, right? And, you know, we introduced intelligent hearing here at the show in 2019 and since launch it's helped customers to reduce costs by over $750 million, right? So that's a real commitment to optimizing costs on behalf of customers. We also launched, you know, later in 2020, Glacier Deep Archive, which is the lowest cost storage in the cloud. So it's an important piece of the puzzle, is to provide those storage options that can allow customers to match the workloads that are, that need to be on folder storage to the appropriate store. >> Yeah, and so, you know, S3 is not this, you know, backup and recovery system, not an archiving system and, you know, in terms of, but you have that intelligence in your platform. 'Cause when I heard that from the earnings call I was like, okay, how do customers then go about deciding what they can, you know, when it's all good times, like yeah, who cares? You know, just go, go, go. But when you got to tighten the belt, how do you guys? >> Yeah, and that goes back to understanding the data pattern. So some of that is we have intelligence and artificial intelligence and everything else and machine learning within our, so we can detect those patterns, right? We understand the patterns, we learn from that and we help customers right size, right. So ultimately we do see a blend, right? As Paul mentioned, we see, you know, hey I'm not going to put everything on Glacier necessarily upfront. Maybe they are, it all depends on their workloads and patterns. So we use the data that we collect from the different customers that we have to share those best practices out and create, you know, the right templates, so to speak, in ways for people to apply it. >> Guys, great joint, you talked about the joint engineering, joint go to market, obviously a very strong synergistic partnership between the two. A lot of excitement. This is only day one, I can only imagine what's going to be coming the next couple of days. But I have one final question for you, but I have same question for both of you. You had the chance to create your own bumper sticker, so you get a shiny new car and for some reason you want to put a bumper sticker on it. About COMMVAULT, what would it say? >> Yeah, so for me I would say comprehensive, yet simple, right? So ultimately about giving you all the bells and whistles but if you want to be very simple we can help you in every shape and form. >> Paul, what's your bumper sticker say about AWS? >> I would say that AWS starts with the customer and works backwards from there. >> Great one. >> Excellent. Guys- >> Kevin: Well done. >> it's been a pleasure to have you on the program. Thank you- >> Kevin: Thank you. >> for sharing what's going on, the updates on the AWS-COMMVAULT partnership and what's in it for customers. We appreciate it. >> Dave: Thanks you guys. >> Thanks a lot. >> Thank you. >> All right. For our guests and Dave Vellante, I'm Lisa Martin. You're watching theCUBE, the leader in live enterprise and emerging tech coverage. (upbeat music)
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Vegas at the Venetian Expo, to be with you Lisa. It's always good to be with you. Yeah, and I got to say the Because the USA made it through. around the TVs at lunchtime. how they're helping to overcome them. have you on the program. and how do you help them eradicate those? and that focus allows customers to Well, and you guys both and it ain't no more. architecture matters, right? but how has AWS architected it to you then follow that. And so when you give us an object, and really about how can we protect and all the other capabilities. And just, you know, we What are some of the Talk about what you heard and how Paul and I talk about, around, you know, First of all, what is COMMVAULT, right? in that world and I'm sure that resonates. but love to hear, Paul, your but we help, you know, you know, the S3 piece of it. You know, from your standpoint And anyone at AWS will tell you that, sort of, fencing off, you know, What's the damage going to be? And so, you know, that partnership really Are you doing joint engineering, like even things around, you know, could talk about cloud, you know, We also launched, you know, Yeah, and so, you know, and create, you know, the right templates, You had the chance to create we can help you in every shape and form. and works backwards from there. have you on the program. the updates on the the leader in live enterprise
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Ronen Schwartz, NetApp & Kevin McGrath | AWS re:Invent 2022
>>Hello, wonderful humans and welcome back to The Cube's Thrilling live coverage of AWS Reinvent here in Las Vegas, Nevada. I'm joined by my fantastic co-host, John Farer. John, things are really ramping up in here. Day one. >>Yep, it's packed already. I heard 70,000 maybe attendees really this year. I just saw that on Twitter. Again, it continues to show that over the past 10 years we've been here, you're seeing some of the players that were here from the beginning growing up and getting bigger and stronger, becoming more platforms, not just point solutions. You're seeing new entrants coming in, new startups, and the innovation you start to see happening, it's really compelling to fun to watch. And our next segment, we have multi 10 time Cube alumni coming on and a first timer, so it should be great. We'll get into some of the innovation, >>Not only as this guest went on the cube 10 times, he also spoke at the first AWS reinvent, just like you were covering it here with Cube. But without further ado, please welcome Ronan and Kevin from NetApp. Thank you gentlemen, both for being here and for matching in your dark blue. How's the show going for you? Ronan, I'm gonna ask you first, you've been here since the beginning. How does it feel in 2022? >>First, it's amazing to see so many people, right? So many humans in one place, flesh and blood. And it's also amazing to see, it's such a celebration for people in the cloud, right? Like this is our, this is our event, the people in the cloud. I'm really, really happy to be here and be in the cube as well. >>Fantastic. It, it is a party, it's a cloud party. Yes. How are you feeling being here, Kevin? I'm >>Feeling great. I mean, going all the way back to the early days of Spot T, which was the start that eventually got acquired as Spot by NetApp. I mean this was, this was our big event. This is what we lived for. We've gone, I've gone from everything, one of the smaller booths out here on the floor all the way up to the, the huge booth that we have today. So we've kind of grown along with the AWS ecosystem and it's just a lot of fun to get here, see all the customers and talk to everybody. >>That's a lot of fun. Fun. That's the theme that we've been talking about. And we wrote a story about on, on Silicon Angle, more that growth from that getting in and getting bigger, not just an ISV or part of the startup showcase or ecosystem. The progression of the investment on how cloud has changed deliverables. You've been part of that wave. What's the biggest walk away, what's, and what's the most important thing going on now cuz it's not stopping. You got new interests coming in and the folks are rising with the tide and getting platforms built around their products. >>Yeah, I would say, you know, years ago is, is cloud in my decision path and now it's cloud is in my decision path. How much is it and how am I going to use it? And I think especially coming up over the next year, macroeconomic events and everything going on is how do I make my next dollar in the cloud go further than my last dollar? Because I know I'm gonna be there, I know I'm gonna be growing in the cloud, so how do I effectively use it to run my business going forward? >>All right, take a minute to explain Spot now part of NetApp. What's the story? What take us through for the folks that aren't familiar with the journey, where it's come from, where it's today? >>Sure. So SPOT is all about cloud optimization. We help all of our customers deploy scale and optimize their applications in the cloud. And what we do is everything from VMs to containers to any type of custom application you want to deploy, we analyze those applications, we find the best price point to run them, we right size them, we do the automation so your DevOps team doesn't have to do it. And we basically make the whole cloud serverless for you at the end of the day. So whatever you're doing in the cloud, we'll manage that for you from the lowest level of the stack all the way up to the highest level financials. >>Is this what you call the evolved cloud state? >>It is in the evolve clouds a little bit more, and Ronan can touch on that a little bit too. The Evolve clouds not only the public cloud but also the cloud that you're building OnPrem, right? A lot of big companies, it's not necessarily a hundred percent one way or the other. The Evolve cloud is which cloud am I on? Am I on an OnPrem cloud and a public cloud or am I on multiple public clouds in an OnPrem cloud? And I think Ronan, you probably have an opinion on that too. >>Yeah, and and I think what we are hearing from our customers is that many of them are in a situation where a lot of their data has been built for years on premises. They're accelerating their move to the cloud, some of them are accelerating, they're moving into multiple cloud and that situation of an on-prem that is becoming cloudy and cloudy all the time. And then accelerated cloud adoption. This is what the customers are calling the Evolve cloud and that's what we're trying to support them in that journey. >>How many customers are you supporting in this Evolve cloud? You made it seem like you can just turnkey this for everyone, which I am here >>For it. Yeah, just to be clear, I mean we have thousands of customers, right? Everything from your small startups, people just getting going with a few VMs all the way to people scaling to tens and thousands of VMs in the cloud or even beyond VM services and you know, tens of millions of spend a month. You know, people are putting a lot of investment into the cloud and we have all walks of life under our, you know, customer portfolio. >>You know, multi-cloud has been a big topic in the industry. We call it super cloud. Cause we think super cloud kind of more represents the destination to multi-cloud. I mean everyone has multiple clouds, but they're best of breed defaults. They're not by design in most cases, but we're starting to see traction towards that potential common level services fix to late. See, I still think we're on the performance game now, so I have to ask, ask you guys. Performance has becoming back in VO speeds and feeds back during the data center days. Well, I wouldn't wanna talk speeds and feeds of solutions and then cloud comes in. Now we're at the era of cloud where people are moving their workloads there. There's a lot more automation going on, A lot more, as you said, part of the decision. It is the path. Yeah. So they say, now I wanna run my workloads on the better, faster infrastructure. No developer wants to run their apps on the slower hardware. >>I think that's a tall up for you. Ronan go. >>I mean, I put out my story, no developer ever said, give me the slower software performance and and pay more fast, >>Fastest find too fastest. >>Speed feeds your back, >>Right? And and performance comes in different, in different parameters, right? They think it is come throughput, it comes through latency. And I think even a stronger word today is price performance, right? How much am I paying for the performance that that I need? NetApp is actually offering a very, very big advantage for customers on both the high end performance as well as in the dollar per performance. That is, that is needed. This is actually one of the key differentiator that Fsx for NetApp on top is an AWS storage based on the NetApp on top storage operating system. This is one of the biggest advantages it is offering. It is SAP certified, for example, where latency is the key, is the key item. It is offering new and fastest throughput available, but also leveraging some advanced features like tiering and so on, is offering unique competitive advantage in the dollar for performance specifically. >>And why, why is performance important now, in your opinion? Obviously besides the obvious of no one wants to run their stuff on the slower infrastructure, but why are some people so into it now? >>I think performance as a single parameter is, is definitely a key influencer of the user experience. None, none of us will, will compromise our our experience. The second part is performance is critical when scale is happening, right? And especially with the scale of data performance to handle massive amounts of data is is becoming more and more critical. The last thing that I'll emphasize is again is the dollar for performance. The more data you have, the more you need to handle, the more critical for you is to handle it in a cost effective way. This is kind of, that's kind of in the, in the, in the secret sauce of the success of every workload. >>There isn't a company or person here who's not thinking about doing more faster for cheaper. So you're certainly got your finger on the pulse With that, I wanna talk about a, a customer case study. A little birdie told me that a major US airline recently just had a mass of when we're where according to my notes response time and customer experience was improved by 17 x. Now that's the type of thing that cuts cost big time. Can one of you tell me a little bit more about that? >>Yeah, so I think we all flew here somehow, right? >>Exactly. It's airlines matter. Probably most folks listening, they're >>Doing very well right now. Yes, the >>Airlines and I think we all also needed to deal with changes in the flights with, with really enormous amount of complexity in managing a business like that. We actually rank and choose what, what airline to use among other things based on the level of service that they give us. And especially at the time of crunch, a lot of users are looking through a lot of data to try to optimize, >>Plus all of them who just work this holiday weekend sidebar >>E Exactly right. Can't even, and Thanksgiving is one of these crunch times that are in the middle of this. So 70 x improvement in performance means a loss seven >>Zero or >>17 1 7 1 7 x Right? >>Well, and especially when we're talking about it looks like 50,000, 50,000 messages per minute that this customer was processing. Yes. That that's a lot. That's almost a thousand messages a second. Wow. I think my math tees up there. Yeah. >>It does allow them to operate in the next level of scale and really increase their support for the customer. It also allows them to be more efficient when it comes to cost. Now they need less infrastructure to give better service across the board. The nice thing is that it didn't require them for a lot of work. Sometimes when the customers are doing their journey to the cloud, one of the things that kind of hold them back is like, is either the fear or, or maybe is the, the concern of how much effort will it take me to achieve the same performance or even a better performance in the cloud? They are a live example that not only can you achieve, you can actually exceed the performance that I have on premises and really give customer a better service >>Customer a better service. And reliability is extremely important there. 99.9%. 99% >>99. Yes. >>Yes. That second nine obviously being very important, especially when we're talking about the order of magnitude of, of data and, and actions being taken place. How much of a priority is, is reliability and security for y'all as a team? >>So reliability is a key item for, for everybody, especially in crunch times. But reliability goes beyond the nines. Specifically reliability goes into how simple it is for you to enable backup n dr, how protected are you against ransomware? This is where netup and, and including the fsx for NETUP on top richness of data management makes a huge difference. If you are able to make your copy undeletable, that is actually a game changer when it comes to, to data protection. And this is, this is something that in the past requires a lot of work, opening vaults and other things. Yeah. Now it becomes a very simple configuration that is attached to every net up on top storage, no matter where it is. >>We heard some news at VMware explorer this past fall. Early fall. You guys were there. We saw the Broadcom acquisition. Looks like it's gonna get finalized maybe sooner than later. Lot of, so a lot of speculation around VMware. Someone called the VMware like where is VMware as in where they now, nice pun it was, it was actually Nutanix people, they go at each other all the time. But Broadcom's gonna keep vse and that's where the bread and butter, that's the, that's the goose that lays the Golden eggs. Customers are there. How do you guys see your piece there with VMware cloud on AWS that integrates solution? You guys have a big part of that ecosystem. We've covered it for years. I mean we've been to every VM world now called explorer. You guys have a huge customer base with VMware customers. What's the, what's the outlook? >>Yeah, and, and I think the important part is that a big part of the enterprise workloads are running on VMware and they will continue to run on VMware in, in, in the future. And most of them will try to run in a hybrid mode if not moving completely to the cloud. The cloud give them unparallel scale, it give them DR and backup opportunities. It does a lot of goodness to that. The partnership that NetApp brings with both VMware as well ass as well as other cloud vendors is actually a game changer. Because the minute that you go to the cloud, things like DR and backup have a different economics connected to them. Suddenly you can do compute less dr definitely on backup you can actually achieve massive savings. NetApp is the only data store that is certified to run with VMware cloud. And that actually opens to the customer's huge opportunity for unparalleled data protection as well as real, real savings, hard savings. And customers that look today and they say, I'm gonna shrink my data center, I'm gonna focus on, on moving certain things to the cloud, DR and backup and especially DR and backup VMware might be one of the easiest, fastest things to take into the cloud. And the partnership betweens VMware and NetApp might actually give you >>And the ONAP is great solution. Fsx there? Yes. I think you guys got a real advantage here and I want to get into something that's kind of a gloom and doom. I don't have to go negative on this one, Savannah, but they me nervous John. But you know, if you look at the economic realities you got a lot of companies like that are in the back of a Druva, Netta, Druva, cohesive rub. Others, you know, they, you know, there's a, their generational cloud who breaks through. What's the unique thing? Because you know there's gonna be challenges in the economy and customers are gonna vote with their wallets and they start to see as they make these architectural decisions, you guys are in the middle of it. There's not, there may not be enough to go around and the musical chairs might stop or, or not, I'm not sure. But I feel like if there's gonna be a consolidation, what does that look like? What are customers thinking? Backup recovery, cloud. That's a unique thing. You mentioned economics, it's not, you can't take the old strategy and put it there from five, 10 years ago. What's different now? >>Yeah, I think when it comes to data protection, there is a real change in, in the technology landscape that opened the door for a lot of new vendors to come and offer. Should we expect consolidation? I think microeconomic outside and other things will probably drive some of that to happen. I think there is one more parameter, John, that I wanna mention in this context, which is simplicity. Many of the storage vendors, including us, including aws, you wanna make as much of the backup NDR at basically a simple checkbox that you choose together with your main workload. This is another key capabilities that is, that is being, bringing and changing the market, >>But it also needs to move up. So it's not only simplicity, it's also about moving to the applications that you use, use, and just having it baked in. It's not about you going out and finding a replication. It's like what Ronan said, we gotta make it simple and then we gotta bake it into what they use. So one of our most recent acquisitions of Insta Cluster allows us to provide our customers with open source databases and data streaming services. When those sit on top of on tap and they sit on top of spots, infrastructure optimization, you get all that for free through the database that you use. So you don't worry about it. Your database is replicated, it's highly available, and it's running at the best cost. That's where it's going. >>Awesome. >>You also recently purchased Cloud Checker as well. Yes. Do you just purchase wonderful things all the time? We >>Do. We do. We, >>I'm not >>The, if he walk and act around and then we find the best thing and then we, we break out the checkbook, no, but more seriously, it, it rounds out what customers need for the cloud. So a lot of our customers come from storage, but they need to operate the entire cloud around the storage that they have. Cloud Checker gives us that financial visibility across every single dollar that you spend in the cloud and also gives us a better go to market motion with our MSPs and our distributors than we had in the past. So we're really excited about what cloud checker can unlock for us in >>The future. Makes a lot of sense and congratulations on all the extremely exciting things going on. Our final and closing question for our guests on this year's show is we would love your, your Instagram hot take your 32nd hot take on the most important stories, messages, themes of AWS reinvent 2022. Ronan, I'm gonna start with you cause you have a smirk >>And you do it one day ahead of the keynotes, one day ahead with you. >>You can give us a little tease a little from you. >>I think that pandemic or no pandemic face to face or no face to face, the innovation in the cloud is, is actually breaking all records. And I think this year specifically, you will see a lot of focus on data and scale. I think that's, these are two amazing things that you'll see, I think doubling down. But I'm also anxious to see tomorrow, so I'll learn more about it. >>All right. We might have to chat with you a little bit after tomorrow. Is keynotes and whatnot coming up? What >>About you? I think you're gonna hear a lot about cost. How much are you spending? How far are your dollars going? How are you using the cloud to the best of your abilities? How, how efficient are you being with your dollars in the cloud? I think that's gonna be a huge topic. It's on everybody's mind. It's the macro economics situation right now. I think it's gonna be in every session of the keynote tomorrow. All >>Right, so every >>Session. Every session, >>A bulk thing. John, we're gonna have >>That. >>I'm with him. You know, all S in general, you >>Guys have, and go look up what I said. >>Yeah, >>We'll go back and look at, >>I'm gonna check on you >>On that. The record now states. There you go, Kevin. Thank both. Put it down so much. We hope that it's a stellar show for Spotify, my NetApp. Thank you. And that we have you 10 more times and more than just this once and yeah, I, I can't wait to see, well, I can't wait to hear when your predictions are accurate tomorrow and we get to learn a lot more. >>No, you gotta go to all the sessions down just to check his >>Math on that. Yeah, no, exactly. Now we have to do our homework just to call him out. Not that we're competitive or those types of people at all. John. No. On that note, thank you both for being here with us. John, thank you so much. Thank you all for tuning in from home. We are live from Las Vegas, Nevada here at AWS Reinvent with John Furrier. My name is Savannah Peterson. You're watching the Cube, the leader in high tech coverage.
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John, things are really ramping up in here. new startups, and the innovation you start to see happening, it's really compelling to fun Thank you gentlemen, both for being here and for matching in your And it's also amazing to see, it's such a celebration for people in the cloud, How are you feeling being here, it's just a lot of fun to get here, see all the customers and talk to everybody. You got new interests coming in and the folks are rising with the tide and getting platforms And I think especially coming up over the for the folks that aren't familiar with the journey, where it's come from, where it's today? And we basically make the whole cloud serverless for you at the end of the day. And I think Ronan, you probably have an opinion on that too. on-prem that is becoming cloudy and cloudy all the time. in the cloud or even beyond VM services and you know, tens of millions of more represents the destination to multi-cloud. I think that's a tall up for you. This is actually one of the key differentiator The more data you have, the more you need to handle, the more critical for Can one of you tell me a little bit more about that? Probably most folks listening, they're Yes, the a lot of data to try to optimize, Can't even, and Thanksgiving is one of these crunch times that are in the middle of I think my math tees up there. not only can you achieve, you can actually exceed the performance that I have on premises and really give And reliability is extremely important there. How much of a priority is, how simple it is for you to enable backup n dr, how protected are you How do you guys see Because the minute that you go to the cloud, things like DR and backup have a different economics I think you guys got a real advantage here and I want to get into a simple checkbox that you choose together with your main workload. So it's not only simplicity, it's also about moving to the applications Do you just purchase wonderful things all the time? Do. We do. So a lot of our customers come from storage, but they need to operate the entire cloud around the Makes a lot of sense and congratulations on all the extremely exciting things going on. And I think this year specifically, you will see a lot of focus on data and scale. We might have to chat with you a little bit after tomorrow. How are you using the cloud to the best of your abilities? John, we're gonna have You know, all S in general, you And that we have you 10 No. On that note, thank you both for being here with us.
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Kevin Kroen, PwC & Maureen Fleming, IDC | UiPath Forward 5
>>The Cube presents UI Path Forward five. Brought to you by UI Path. >>Hi everybody. We're winding down. Day two, a forward five UI Path customer conference. This is the fourth time the Cube has been at a forward. Dave Nicholson, Dave Ante. Maureen Fleming is here. This is a program Vice President idc. She's got the data fresh survey data. We'd love to have the analyst on. And Kevin CRO is back on the cube. He's a partner for intelligent automation and digital. Upscaling is the operative word. Kevin, good to see you again, pwc. Good to see you. Thanks for coming on you guys. Yep. All right. We, we love idc. We love the data. You guys are all about it. So you've just completed a recent study. Tell us all about it. Who'd you survey? What was the objective? What'd you learn? >>Yeah, what we wanted to do was try to learn more about people who are adopting robotic process automation. So mainly large, you know, larger to midsize, enter midsize, large enterprises. And we wanted to figure out how many of them had a citizen developer program. And then we wanted to compare the difference between people who do not have that program and people who do, and what the difference is in terms of how, what kind of reach they have inside the enterprise, and also the different ways that, that they valued it. So the difference, so we asked the same questions of the, of these people without them knowing that we were actually looking for a citizen developer. And then we compared the results of that to see is it more valuable to have citizen developer and enterprise, or is it more valuable to have enterprise only? So what was the impact >>Global survey? >>It was North America. >>North America. Was it, was it we any kind of slice and dice in terms of industry or targets or you, >>We, we kept it across industry, cross industry. We're finding that RPA is adopting cross >>Industry way. Was it, was it UI path specific or more Any tech, Any automation, >>Any rpa. >>Okay. And top two or three findings. >>So one thing was, first off, the rapid growth rate in citizen, citizen developer programs grew 47% over a two year period. And so now for people who've adopted rpa, it's the majority there. They're, you know, it's a pervasive trend to >>See you're taking over, >>You know, right now the conclusion from that, and some other studies that I did that have similar conclusions is that we have to start learning to live with this idea that business users can learn how to develop. They are developing their driving value. And so now we just need to figure out how to build these sorts of programs accurately. And the other, the really key finding of it was that, that there was much more significant reach for people that were doing citizen developer plus enterprise automation, more reach, more processes touched, more employees impacted by it. And then on top of it, the, they rated the value, the people who had the combination rated the programs at a higher value across different measures. So effectively the, the combination is working out better than standalone top down automation. >>So Kevin, from what, what's your takeaway here? What does this mean to you and your customers? >>So I guess a, a couple things and just anecdotally, you know, building on what Marine found in the, in the survey, the concept of citizen development is a real concept and it's something that organizations are applying and trying to figure out how to apply at scale. The reason why they're doing it is twofold. One, early automation efforts struggled to get scale and they struggled to deliver value from a scale perspective. There were two major problems. The ability to identify the right opportunities and the ability to tackle a wide range of, from the little to the very large, often teams focus on the very large, but don't focus on the little, the little is important. The second part is thinking about how you create a better culture of innovation and actually drive identifying opportunities for the, the more, I'll call it technology professionals to focus on. And so, you know, there's been, you know, based on that big drive to say, okay, not how do we replace automation professionals with business users, you know, the random accountant, the random operations analyst. It's more around how do you actually engage them in innovation. And that in, in that engagement may involve actual hands on building of bots and technologies like UiPath or it might just involve generating ideas to get further engaged. >>So 47% growth. What's the catalyst for that kind of growth? Where's that come from? >>I scarcity? So, well there are a couple things. One is, you know, we all know about developer scarcity and it's strive to automate. You know, if you have an automation strategy in place, you wanna do this quickly and aggressively. But if you've got a shortage of, of people, you know, developers don't have enough, they're turning over. Then you go to, you go and figure out, well this is low code. And so why can't we train our business users who are the subject matter experts to do automation for themselves or their teams? So sort of think about this as the long tail, the things that that top down like enterprise, I think UiPath is calling it enterprise automation versus people automation. So, you know, so there's just different things that they work on as well. And there's also, you know, fearlessness on the part of a lot of people on the business side, they're not afraid of technology, they're not afraid of getting trained. >>And the other piece to me that made, like, I've covered this topic for a long time, and what I found originally when people started talking about citizen developers is that they, they were calling me and having inquiry about why these programs were failing. And when we would decompose the failure was because the ma their managers didn't give them any, they didn't put 'em in trading but wouldn't get, give 'em time to develop. And so they just could not, you know, they just were running into problems. And so with things that, things like PWC and what they're doing, they're sort of saying, here's the, here are the features of a program that matter, including being given time to develop and do that as part of your job. So >>Maureen, is there a minimum level size of organization that you find taking advantage of this? I mean, you know, where's the sweet spot for the value delivered from this kind of automation? >>Do you have an idea? Right. So we, we tended in some of the surveys, we tended to do like thousand employees up. So we were screening for that. But I also met with the, our, our analysts who covered smb, small midsize. She said that they've had that for a long time because they don't have these clear distinctions between IT and business. So then the question is, who are adopters of rpa, for example? And you know that that's still a little bit at, at, you know, the enterprise level, but, but citizen developer at it, it, it is SB is just a given concept. So, >>But is it, is there, is there an economy of scale that kicks in at a certain point? Have we been able to figure that out? I'm thinking of, I'm thinking of business process automation being such a competitive advantage that there becomes almost a divide because of smaller organization. Yes, they could go out and they can buy, they have access to the same software packages, but you have to build all of those processes. Yes. You have to develop those processes over time. So is there any sense for a divide possibly happening or what the, >>It's a really good question because they, you know, in a way people have to understand what a business process is, you know, and they need to understand what the technology can do. And so from that perspective, people who have thought leaders inside their organization and maybe have a chance to get out and look at broader topics might be more inclined to try this out and also identify directly as a problem. SMB also tends to try to buy package solutions. And you see larger enterprises say, well, you know, what we do is unique and so we should just sort of use horizontal technology and apply it at will where it's needed. And so for me that's kind of why we organize toward higher, you know, higher si, larger sizes. As it gets simplified, it's gonna go down into the SMB market though. >>So Kevin, when it comes to you guys, your client engagements, upscaling keeps, keep coming back to that word low code. Is it fundamental component of upscaling? Is it, is it, I don't say synonymous, but is it a prerequisite to have low code capabilities to scale? >>You know, from our perspective, I think the two biggest challenges with making this work, one is learning and development. How do you actually teach the skills in a way that allows people to apply them very quickly and give them the time to actually function right to the finding about managers not necessarily being supportive. And so you have to figure out, you know, what, you know, how do you actually create that right environment and give people the right tools? It's an area that we invested really heavily in from the PWC side with the, with the launch of our pro edge platform and really thinking about how to solve that. But then the problem that you're ultimately getting at once you solve the people equation is how do you get scale and how do you move quicker? And so the, you know, the, the, the, the biggest challenge is not should you let a, a business user build a bot. It's, you know, how do we actually build many bots, generate many ideas for the professional developers and actually create an ecosystem to move faster. Every client that we work with, it's all about, you know, how we're not moving fast enough. A COE cannot, you know, by itself automate an entire organization. And so, you know, the, you know, the, the this theme of scale really becomes, you know, the critical aspect of this >>Is the former other words, the the teaching and individual how to build a bot. Is that trivial or, or is that really not the big gate is what you're saying? It's, >>We don't think it's a big gate. I think the, you know, to the original question, I think the, the, the low code space is a ripe spot for this, you know, upskilling construct because you're not, you're not, you're, you're gauging with employees who don't have an undergraduate degree in computer science who are not IT professionals. And so giving someone, you know, a book on job and saying, go build an application's, probably not gonna be very productive. But with, with tools in the, in the low code space, be it RPA or be it other forms of lower code technology, you get people opportunity where they need to learn some technical concepts. You need to understand how the technology works and how basic programming techniques work, but you don't need to understand everything. And again, going back to the, the simple versus the complex, the goal here is not to turn people into professional developers. The goal is to get them engaged and, and create, you know, make them part of that company's digital transformation. >>But from what you just described, that's, to me it's basic logic skills. I mean you don't have to be, like I say, a assembly language programmer. Yeah. But you gotta understand and you gotta know the business process, right? I mean you have to be a domain expert. Yeah. >>But that, but that's the, that's the biggest advantage of this. You're engaging the people closest to the business process, right? You look at how most big IT projects failed was the same reason a lot of early automation efforts failed. You're creating, you know, a function that essentially lives in an ivory tower that's focused on, you know, where can I go out and find opportunities and automate. But you're not, those aren't the people that run the process day to day. Yeah, okay. You, you put it, you make those people that run the process day to day accountable, you're gonna get a different outcome >>And they'll lean in and get excited. Exactly. >>So where, where, where is that transition? I know it's easy to say, oh, you know, it's logic and people can do it, but what about having a bot whisperer in your, in your organization who's who, who literally says, you know, Maureen, I'm gonna come and sit with you on Friday and you're going to explain your frustrations to me and I'm gonna sit right next to you and I'm gonna code this bot for you and we're gonna test it and you're gonna tell me if it does what you want it to do. And Maureen doesn't need to understand how to move the widgets around and do anything. >>It's, you know, it's a great question cuz I think it's changing the nature of how you accelerate these efforts, right? I think you know, the, and if I go into early RPA days, the initial kind of thought process was let's just get a factory in here and build as many bots as possible. A lot of our client engagement today isn't always around our bot development services. It's around can you bring in coaches? Can you hold office hours? Exactly. We have an office hour construct, which I've never really had in my consulting career where we put, you know, I mean this obviously post covid when when people are in their offices, we put someone in a room and people can come by and get help. And I think having that, that coaching and mentoring construct is very helpful. What we've also seen, and I think it's a really critical success factor for clients to make this work, is thinking about how they pick a subset of their population and making them, you know, digital accelerators, digital champions, pick your word, not it professionals, peers who will actually get realtime dedicated. Right. And maybe a full time or a halftime job where that's exactly what they do. >>Maureen, we're out of time, but my last question for you is, when you do a survey like this, you know you have open ended sometimes and you analyze a survey, you take a bath in the data, write it up. There's always something that you wish you'd asked, which is great cuz then you could do it on the next one. What, was there anything in there that you wish you'd asked that you're gonna ask in the next one? Are you gonna explore in the next survey? >>Yeah. One of the things that I asked, one thing that I was glad I asked was, I, I, we, we spent time finding what were considered business side product champions or RPA champions and then we ask 'em what they did, how often they did, how much time they spent. But what I want, what I really, really wanna ask of my next survey, and I will, I've got a planned, is to find out how, how what percentage of population is involved with, with big a citizen developer and what activities are common and what are less common and you know, what their challenges are. So we'll be looking at a different kind of audience with this next >>Survey. Well, we'd love to have you back to talk about that. Just invite, Thank you very much. Come queue. Really appreciate it Kevin. Good to see you again. >>Good to see you. >>All right. And thank you for watching. Keep it right there. Dave Nicholson and Dave Ante. We're here wrapping up day two of UI path forward. Five live from the Venetian, all Las Vegas. Super right back.
SUMMARY :
Brought to you by Kevin, good to see you again, pwc. So mainly large, you know, larger to midsize, enter midsize, large enterprises. Was it, was it we any kind of slice and dice in terms of industry or We, we kept it across industry, cross industry. Was it, was it UI path specific or more Any tech, Any automation, They're, you know, it's a pervasive trend to And the other, the really key finding of So I guess a, a couple things and just anecdotally, you know, building on what Marine What's the catalyst for that kind of growth? also, you know, fearlessness on the part of a lot of people on the business side, And so they just could not, you know, they just were running into at, at, you know, the enterprise level, but, but citizen developer at it, packages, but you have to build all of those processes. And so for me that's kind of why we organize toward higher, you know, higher si, So Kevin, when it comes to you guys, your client engagements, And so the, you know, the, the, Is that trivial or, or is that really not the big gate is what you're saying? And so giving someone, you know, a book on job and saying, But from what you just described, that's, to me it's basic logic skills. You're creating, you know, a function that essentially lives in an ivory tower that's focused on, And they'll lean in and get excited. gonna sit right next to you and I'm gonna code this bot for you and we're gonna test it and you're gonna tell me I think you know, the, and if I go into early RPA days, What, was there anything in there that you wish you'd asked that you're gonna ask in the next one? and what activities are common and what are less common and you know, Good to see you again. And thank you for watching.
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Kevin Mandia, Mandiant & Shawn Henry, CrowdStrike | CrowdStrike Fal.Con 2022
>>Welcome back to the aria in Las Vegas, Dave Valante with Dave Nicholson, Falcon 22, the Cube's continuous coverage. Sean Henry is here. He's the president of the services division and he's the chief security officer at CrowdStrike. And he's joined by Kevin mania, CEO of Mandy. Now part of Google Jens. Welcome to the cube. Thank you. Congrats on closing the Google deal. Thank you. That's great. New chapter, >>New >>Chapter coming fresh off the keynote, you and George. I really en enjoyed that. Let's start there. One of the things you talked about was the changes you've been, you've been in this business for a while. I think you were talking about, you know, doing some of these early stuff in the nineties. Wow. Things have changed a lot the queen, right? Right. You used to put the perimeter around the queen. Yeah. Build the Mo the Queen's left or castle new ballgame. But you were talking about the board level knowledge of security in the organization. Talk about that change. That's occurred in the last >>Decade. You know, boards are all about governance, right? Making sure everybody's doing the right things. And they've kind of had a haul pass on cybersecurity for a long time. Like we expect them to be great at financial diligence, they understand the financials of an organization. You're gonna see a maturity, I think in cybersecurity where I think board members all know, Hey, there's risk out there. And we're on our own to kind of defend ourselves from it, but they don't know how to quantify it. And they don't know how to express it. So bottom line boards are interested in cyber and we just have to mature as an industry to give them the tools they need to measure it appropriately. >>Sean, one of the things I wanted to ask you. So Steven Schmidt, I noticed changed his title from CISOs chief inf information security officer, the chief security officer. Your title is chief security officer. Is that a nuance that has meaning to you or is it just less acronym? >>It depends on the organization that you're in, in our organization, the chief security officer owns all risks. So I have a CISO that comes underneath me. Yep. And I've got a security folks that are handling our facilities, our personnel, those sorts of things, all, all of our offices around the globe. So it's all things security. One of the things that we've found and Kevin and I were actually talking about this earlier is this intersection between the physical world and the virtual world. And if you've got adversaries that want gain access to your organization, they might do it remotely by trying to hack into your network. But they also might try to get one of your employees to take an action on their behalf, or they might try to get somebody hired into your company to take some nefarious acts. So from a security perspective, it's about building an envelope around all things valuable and then working it in a collaborative way. So there's a lot of interface, a lot of interaction and a lot of value in putting those things together. And, >>And you're also president of the services division. Is that a P and L role or >>It is, we have a it's P P O P and L. And we have an entire organization that's doing incident response and it's a lot of the work that we're doing with, with Kevin's folks now. So I've got both of those hats today. >>Okay. So self-funded so in a way, okay. Where are companies most at risk today? >>Huh? You wanna go on that one first? Sean, you talk fast than me. So it's bigger bang for the buck. If >>You >>Talk, you know, when I, when I think about, about companies in terms of, of their risk, it's a lot of it has to do with the expansion of the network. Companies are adding new applications, new devices, they're expanding into new areas. There are new technologies that are being developed every day and that are being embraced every day. And all of those technologies, all of those applications, all of that hardware is susceptible to attack. Adversaries are looking for the vulnerabilities they can exploit. And I think just kind of that sprawl is something that is, is disconcerting to me from a security perspective, we need to know where our assets are, where the vulnerabilities lie, how do we plug the holes? And having that visibility is really critical to ensure that you're you're in, involved in mitigating that, that new architecture, >>Anything you >>Did. Yeah. I would like when I, so I can just tell you what I'm hearing from CISOs out there. They're worried about identity, the lateral movement. That's been kind of part of every impactful breach. So in identity's kind of top three of mind, I would say zero trust, whatever that means. And we all have our own definitions of migration to zero trust and supply chain risk. You know, whether they're the supplier, they wanna make sure they can prove to their customers, they have great security practices. Or if they're a consumer of a supply chain, you need to understand who's in their supply chain. What are their dependencies? How secure are they? Those are just three topics that come up all the time. >>As we extend, you know, talking about XDR the X being extend. Do you see physical security as something that's being extended into? Or is it, or is it already kind of readily accepted that physical security goes hand in hand with information security? >>I, I don't think a lot of people think that way there certainly are some and Dave mentions Amazon and Steve Schmidt as a CSO, right? There's a CSO that works for him as well. CJ's clear integration. There's an intelligence component to that. And I think that there are certain organizations that are starting to recognize and understand that when we say there's no real perimeter, it, it expands the network expands into the physical space. And if you're not protecting that, you know, if you don't protect the, the server room and somebody can actually walk in the doors unlocked, you've got a vulnerability that might be exploited. So I think to, to recognize the value of that integration from a security perspective, to be holistic and for organizations to adopt a security first philosophy that all the employees recognize they're, they're the, the first line of defense. Oftentimes not just from a fish, but by somebody catching up with them and handing 'em a thumb drive, Hey, can you take a look at this document? For me, that's a potential vulnerability as well. So those things need to be integrated. >>I thought the most interesting part of the keynote this morning is when George asked you about election security and you immediately went to the election infrastructure. I was like, yeah. Okay. Yeah. But then I was so happy to hear you. You went to the disinformation, I learned something there about your monitoring, the network effects. Sure. And, and actually there's a career stream around that. Right. The reason I had so years ago I interviewed was like, this was 2016, Robert Gates. Okay. Former defense. And I, I said, yeah, but don't we have the best cyber can't we go on the offense. He said, wait a minute, we have the most to lose. Right. But, but you gave an example where you can identify the bots. Like let's say there's disinformation out there. You could actually use bots in a positive way to disseminate the, the truth in theory. Good. Is, is that something that's actually happening >>Out there? Well, I think we're all still learning. You know, you can have deep fakes, both audible files or visual files, right. And images. And there's no question. The next generation, you do have to professionalize the news that you consume. And we're probably gonna have to professionalize the other side critical thinking because we are a marketplace of ideas in an open society. And it's hard to tell where's the line between someone's opinion and intentional deception, you know, and sometimes it could be the source, a foreign threat, trying to influence the hearts and minds of citizens, but there's gonna be an internal threat or domestic threat as well to people that have certain ideas and concepts that they're zealots about. >>Is it enough to, is it enough to simply expose where the information is coming from? Because, you know, look, I, I could make the case that the red Sox, right. Or a horrible baseball team, and you should never go to Fenway >>And your Yankees Jersey. >>Right. Right. So is that disinformation, is that misinformation? He'd say yes. Someone else would say no, but it would be good to know that a thousand bots from some troll farm, right. Are behind us. >>There's, it's helpful to know if something can be tied to identity or is totally anonymous. Start just there. Yeah. Yeah. You can still protect the identity over time. I think all of us, if you're gonna trust the source, you actually know the source. Right. So I do believe, and, and by the way, much longer conversation about anonymity versus privacy and then trust, right. And all three, you could spend this whole interview on, but we have to have a trustworthy internet as well. And that's not just in the tech and the security of it, but over time it could very well be how we're being manipulated as citizens and people. >>When you guys talk to customers and, and peers, when somebody gets breached, what's the number one thing that you hear that they wished they'd done that they didn't. >>I think we talked about this earlier, and I think identity is something that we're talking about here. How are you, how are you protecting your assets? How do you know who's authorized to have access? How do you contain the, the access that they have? And the, the area we see with, with these malware free attacks, where adversaries are using the existing capabilities, the operating system to move laterally through the network. I mean, Kevin's folks, my folks, when we respond to an incident, it's about looking at that lateral movement to try and get a full understanding of where the adversary's been, where they're going, what they're doing, and to try to, to find a root cause analysis. And it really is a, a critical part. >>So part of the reason I was asking you about, was it a P and L cuz you, you wear two hats, right? You've got revenue generation on one side and then you've got you protect, you know, the company and you've got peer relationships. So the reason I bring this up is I felt like when stucks net occurred, there was a lot of lip service around, Hey, we, as an industry are gonna work together. And then what you saw was a lot of attempts to monetize, you know, private data, sell private reports and things of that nature you were referencing today, Kevin, that you think the industry's doing a much better job of, of collaboration. Is it, can you talk about that and maybe give some examples? >>Absolutely. I mean, you know, I lived through it as a victim of a breach couple years ago. If you see something new and novel, I, I just can't imagine you getting away with keeping it a secret. I mean, I would even go, what are you doing? Harboring that if you have it, that doesn't mean you tell the whole world, you don't come on your show and say, Hey, we got something new novel, everybody panic, you start contacting the people that are most germane to fixing the problem before you tell the world. So if I see something that's new in novel, certainly con Sean and the team at CrowdStrike saying, Hey, there's because they protect so many endpoints and they defend nations and you gotta get to Microsoft. You have to talk to pan. You have to get to the companies that have a large capability to do shields up. And I think you do that immediately. You can't sit on new and novel. You get to the vendor where the vulnerability is, all these things have to happen at a great rate to speak. >>So you guys probably won't comment, but I'm betting dollars to donuts. This Uber lapses hack you guys knew about. >>I turned to you. >>No comment. I'm guessing. I'm guessing that the, that wasn't novel. My point being, let me, let me ask it in a more generic fashion that you can maybe comment you you're. I think you're my, my inference is we're com the industry is compressing the time between a zero day and a fix. Absolutely. Absolutely. Like dramatically. >>Yes. Oh, awareness of it and AIX. Yes. Yeah. >>Okay. Yeah. And a lot of the hacks that we see as lay people in the media you've known about for quite some time, is that fair or no, not necessarily. >>It's, you know, it's harder to handle an intrusion quietly and discreetly these days, especially with what you're up against and, and most CEOs, by the way, their intent isn't, let's handle it quietly and discreetly it's what do we do about it? And what's the right way to handle it. And they wanna inform their customers and they wanna inform people that might be impacted. I wouldn't say we know it all that far ahead of time >>And, and depends. And, and I, I think companies don't know it. Yeah. Companies don't know they've been breached for weeks or months or years in some cases. Right. Which talks about a couple things, first of all, some of the sophistication of the adversaries, but it also talks about the inability of companies to often detect this type of activity when we're brought in. It's typically very quickly after the company finds out because they recognize they've gotta take action. They've got liability, they've got brand protection. There, whole sorts of, of things they need to take care of. And we're brought in it may or may not be, become public, but >>CrowdStrike was founded on the premise that the unstoppable breach is a myth. Now that's a, that's a bold sort of vision. We're not there yet, obviously. And a and a, and a, a CSO can't, you know, accept that. Right. You've gotta always be vigilant, but is that something that is, that we're gonna actually see manifest, you know, in any, any time in the near term? I mean, thinking about the Falcon platform, you guys are users of that. I don't know if that is part of the answer, but part of it's technology, but without the cultural aspects, the people side of things, you're never gonna get there. >>I can tell you, I started Maning in 2004 at the premise security breaches are inevitable, far less marketable. Yeah. You know, stop breaches. >>So >>Yeah. I, I think you have to learn how to manage this, right? It's like healthcare, you're not gonna stop every disease, but there's a lot of things that you can do to mitigate the consequences of those things. The same thing with network security, there's a lot of actions that organizations can take to help protect them in a way that allows them to live and, and operate in a, in a, a strong position. If companies are lackadaisical that irresponsible, they don't care. Those are companies that are gonna suffer. But I think you can manage this if you're using the right technology, the right people, you've got the right philosophy security first >>In, in the culture. >>Well, I can tell you very quickly, three reasons why people think, why is there an intrusion? It should just go away. Well, wherever money goes, crime follows. We still have crime. So you're still gonna have intrusions, whether it has to be someone on the inside or faulty software and people being paid the right faulty software, you're gonna have war. That's gonna create war in the cyber domain. So information warriors are gonna try to have intrusions to get to command and control. So wherever you have command and control, you'll have a war fighter. And then wherever you have information, you have ESP Espino. So you're gonna have people trying to break in at all times. >>And, and to tie that up because everything Kevin said is absolutely right. And what he just said at the very end was people, there are human beings that are on the other side of every single attack. And think about this until you physically get physically get to the people that are doing it and stop them. Yes, this will go on forever because you can block them, but they're gonna move and you can block them again. They're gonna move their objectives. Don't change because the information you have, whether it's financial information, intellectual property, strategic military information, that's still there. They will always come at it, which is where that physical component comes in. If you're able to block well enough and they can't get you remotely, they might send somebody in. Well, >>I, in the keynote, I, I'm not kidding. I'm looking around the room and I'm thinking there's at least one person here that is here primarily to gather intelligence, to help them defeat. What's being talked about here. >>Well, you said it's, >>It's kind >>Of creepy. You said the adversary is, is very well equipped and motivated. Why do you Rob banks? Well, that's where the money is, but it's more than that. Now with state sponsored terrorism and, you know, exfiltration of state secrets, I mean, there's, it's high stake's games. You got, this >>Has become a tool of nation states in terms from a political perspective, from a military perspective, if you look at what happened with Ukraine and Russia, all the work that was done in advanced by the Russians to soften up the Ukrainians, not just collection of intelligence, not just denial of services, but then disruptive attacks to change the entire complexity of the battlefield. This, this is a, an area that's never going away. It's becoming ingrained in our lives. And it's gonna be utilized for nefarious acts for many, many decades to come. >>I mean, you're right, Sean, we're seeing the future of war right before us is, is there's. There is going to be, there is a cyber component now in war, >>I think it signals the cyber component signals the silent intention of nations period, the silent projection of power probably before you see kinetics. >>And this is where gates says we have a lot more to lose as a country. So it's hard for us to go on the offense. We have to be very careful about our offensive capabilities because >>Of one of the things that, that we do need to, to do though, is we need to define what the red lines are to adversaries. Because when you talk about human beings, you've gotta put a deterrent in place so that if the adversaries know that if you cross this line, this is what the response is going to be. It's the way things were done during nuclear proliferation, right? Right. During the cold war, here's what the actions are gonna be. It's gonna be, it's gonna be mutual destruction and you can't do it. And we didn't have a nuclear war. We're at a point now where adversaries are pushing the envelope constantly, where they're turning off the lights in certain countries where they're taking actions that are, are quite detrimental to the host governments and those red lines have to be very clear, very clearly defined and acted upon if they're >>Crossed as security experts. Can you always tie that signature back to say a particular country or a particular group? >>Absolutely. 100% every >>Time I know. Yeah. No, it it's. It's a great question. You, you need to get attribution right. To get to deterrence, right. And without attribution, where do you proportionate respond to whatever act you're responding to? So attribution's critical. Both our companies work hard at doing it and it, and that's why I think you're not gonna see too many false flag operations in cyberspace, but when you do and they're well crafted or one nation masquerades is another, it, it, it's one of the last rules of the playground I haven't seen broken yet. And that that'll be an unfortunate day. >>Yeah. Because that mutually assure destruction, a death spot like Putin can say, well, it wasn't wasn't me. Right. So, and ironically, >>It's human intelligence, right. That ultimately is gonna be the only way to uncover >>That human intelligence is a big component. >>For sure. Right. And, and David, like when you go back to, you were referring to Robert Gates, it's the asymmetry of cyberspace, right? One person in one nation. That's not a control by asset could still do an act. And it, it just adds to the complexity of, we have attribution it's from that nation, but was it in order? Was it done on behalf of that nation? Very complicated. >>So this is an industry of superheroes. Thank you guys for all you do and appreciate you coming on the cube. Wow. >>I love your Cape. >>Thank all right. Keep it right there. Dave Nicholson and Dave ante be right back from Falcon 22 from the area you watching the cue.
SUMMARY :
He's the president of the services division and he's One of the things you talked about was the changes you've been, you've been in this business for a while. Making sure everybody's doing the right things. meaning to you or is it just less acronym? One of the things that we've found and Kevin and I were actually talking about this earlier is And you're also president of the services division. an entire organization that's doing incident response and it's a lot of the work that we're Where are companies most at risk today? So it's bigger bang for the buck. all of that hardware is susceptible to attack. Or if they're a consumer of a supply chain, you need to understand who's in their supply chain. As we extend, you know, talking about XDR the X being extend. And I think that there are certain organizations that are starting to recognize I thought the most interesting part of the keynote this morning is when George asked you about election the news that you consume. and you should never go to Fenway So is that disinformation, is that misinformation? And all three, you could spend this whole interview on, but we have to have a trustworthy internet as well. When you guys talk to customers and, and peers, when somebody gets breached, it's about looking at that lateral movement to try and get a full understanding of where the adversary's So part of the reason I was asking you about, was it a P and L cuz you, you wear two hats, And I think you do that immediately. So you guys probably won't comment, but I'm betting dollars to donuts. let me, let me ask it in a more generic fashion that you can maybe comment you you're. Yeah. you've known about for quite some time, is that fair or no, not necessarily. It's, you know, it's harder to handle an intrusion quietly and discreetly these days, but it also talks about the inability of companies to often detect this type of activity when And a and a, and a, a CSO can't, you know, accept that. I can tell you, I started Maning in 2004 at the premise security breaches are inevitable, But I think you can manage this if you're using the right technology, And then wherever you have information, And think about this until you physically get physically get to the people that are doing it at least one person here that is here primarily to gather intelligence, you know, exfiltration of state secrets, I mean, there's, it's high stake's games. from a military perspective, if you look at what happened with Ukraine and Russia, all the work that I mean, you're right, Sean, we're seeing the future of war right before us is, is there's. the silent projection of power probably before you see kinetics. And this is where gates says we have a lot more to lose as a country. that if the adversaries know that if you cross this line, this is what the response is going to be. Can you always tie that signature back to say a Absolutely. where do you proportionate respond to whatever act you're responding to? So, and ironically, It's human intelligence, right. And, and David, like when you go back to, you were referring to Robert Gates, it's the asymmetry of cyberspace, Thank you guys for all you do and appreciate you coming on the cube. Dave Nicholson and Dave ante be right back from Falcon 22 from the area you watching the cue.
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Kevin Miller, AWS | Modernize, unify, and innovate with data | AWS Storage Day 2022
(upbeat music) >> We're here on theCube covering AWS Storage Day 2022. Kevin Miller joins us. He's the vice president and general manager of Amazon S3. Hello, Kevin, good to see you again. >> Hey Dave, it's great to see you as always. >> It seems like just yesterday we were celebrating the 15th anniversary of S3, and of course the launch of the modern public cloud, which started there. You know, when you think back Kevin, over the past year, what are some of the trends that you're seeing and hearing from customers? What do they want to see AWS focus more on? What's the direction that you're setting? >> Yeah, well Dave, really I think there's probably three trends that we're seeing really pop this year. I think one just given the kind of macroeconomic situation right now is cost optimization. That's not a surprise. Everyone's just taking a closer look at what they're using, and where they might be able to pair back. And you know, I think that's a place that obviously S3 has a long history of helping customers save money. Whether it's through our new storage classes, things like our Glacier Instant Retrieval, storage class that we launched to reinvent last year. Or things like our S3 storage lens capability to really dig in and help customers identify where their costs are are being spent. But so certainly every, you know, a lot of customers are focused on that right now, and for obvious reasons. I think the second thing that we're seeing is, just a real focus on simplicity. And it kind of goes hand in hand with cost optimization, because what a lot of customers are looking for is, how do I take the staff that I have, and do more this year. Right, continue to innovate, continue to bring new applications or top line generating revenue applications to the market, but not have to add a lot of extra headcount to do that. And so, what they're looking for is management and simplicity. How do I have all of this IT infrastructure, and not have to have people spending a lot of their time going into kind of routine maintenance and operations. And so that's an area that we're spending a lot of time. We think we have a lot of capability today, but looking at ways that we can continue to simplify, make it easier for customers to manage their infrastructure. Things like our S3 intelligent tiering storage class, which just automatically gives cost savings for data that's not routinely accessed. And so that's a big focus for us this year as well. And then I think the last and probably third thing I would highlight is an emerging theme or it's been a theme, but really continuing to increase in volume, is all around sustainability. And you know, our customers are looking for us to give them the data and the assurances for them, for their own reports and their own understanding of how sustainable is my infrastructure. And so within AWS, of course, you know we're on a path towards operating with 100% renewable energy by 2025. As well as helping the overall Amazon goal of achieving net zero carbon by 2040. So those are some big lofty goals. We've been giving customers greater insights with our carbon footprint tool. And we think that, you know the cloud continues to be just a great place to run and reduce customer's carbon footprint for the similar you know, storage capacity or similar compute capacity. But that's just going to continue to be a trend and a theme that we're looking at ways that we can continue to help customers do more to aggressively drive down their carbon footprint. >> I mean, it makes sense. It's like you're partnering up with the cloud, you know, you did same thing on security, you know, there's that shared responsibility model, same thing now with ESG. And on the macro it's interesting Kevin, this is the first time I can remember where, you know it used to be, if there's a downturn it's cost optimization, you go to simplicity. But at the same time with digital, you know, the rush to digital, people still are thinking about, okay how do I invest in the future? So but let's focus on cost for a moment then we'll come back to sort of the data value. Can you tell us how AWS helps customers save on storage, you know, beyond just the price per terabyte actions that you could take. I mean I love that, you guys should keep doing that. >> Absolutely. >> But what other knobs are you turning? >> Yeah, right and we've had obviously something like 15 cost reductions or price reductions over the years, and we're just going to continue to use that lever where we can, but it's things like the launch of our Glacier Instant Retrieval storage class that we did last year at Reinvent, where that's now you know, 4/10ths of a cent per gigabyte month. For data that customers access pretty infrequently maybe a few times a year, but they can now access that data immediately and just pay a small retrieval fee when they access that data. And so that's an example of a new capability that reduces customer's total cost of ownership, but is not just a straight up price reduction. I mentioned S3 Intelligent-Tiering, that's another case where, you know, when we launch Glacier Instant Retrieval, we integrated that with Intelligent-Tiering as well. So we have the archive instant access tier within Intelligent-Tiering. And so now data that's not accessed for 90 days is just automatically put into AIA and and then results in a reduced storage cost to customers. So again, leaning into this idea that customers are telling us, "Just do, you know what should be done "for my data to help me reduce cost, can you just do it, "and sort of give me the right defaults." And that's what we're trying to do with things like Intelligent-Tiering. We've also, you know, outside of the S3 part of our portfolio, we've been adding similar kinds of capabilities within some of our file services. So things like our, you know elastic file service launched a one zone storage class as well as an intelligent tiering capability to just automatically help customers save money. I think in some cases up to 92% on their their EFS storage costs with this automatic intelligent tiering capability. And then the last thing I would say is that we also are just continuing to help customers in other ways, like I said, our storage lens is a great way for customers to really dig in and figure out. 'Cause you know, often customers will find that they may have, you know, certain data sets that someone's forgotten about or, they're capturing more data than they expected perhaps in a logging application or something that ends up generating a lot more data than they expected. And so storage lens helps them really zoom in very quickly on, you know this is the data, here's how frequently it's being accessed and then they can make decisions about use that data I keep, how long do I keep it? Maybe that's good candidates to move down into one of our very cold storage classes like Glacier Deep Archive, where they they still have the data, but they don't expect to need to actively retrieve it on a regular basis. >> SDL bromide, if you can measure it, you can manage it. So if I can see it, visualize it, that I can take actions. When you think about S3- >> That's right. it's always been great for archival workloads but you made some updates to Glacier that changed the way that we maybe think about archive data. Can you talk about those changes specifically, what it means for how customers should leverage AWS services going forward? >> Yeah, and actually, you know, Glacier's coming up on its 10 year anniversary in August, so we're pretty excited about that. And you know, but there's just been a real increase in the pace of innovation, I think over the last three or four years there. So we launched the Glacier Deep Archive capability in 2019, 2018, I guess it was. And then we launched Glacier Instant Retrieval of course last year. So really what we're seeing is we now have three storage classes that cover are part of the Glacier family. So everything from millisecond retrieval for that data, that needs to be accessed quickly when it is accessed, but isn't being accessed, you know, regularly. So maybe a few times a year. And there's a lot of use cases that we're seeing really quickly emerge for that. Everything from, you know, user generated content like photos and videos, to big broadcaster archives and particularly in media and entertainment segment. Seeing a lot of interest in Glaciers Instant Retrieval because that data is pretty cold on a regular basis. But when they want to access it, they want a huge amount of data, petabytes of data potentially back within seconds, and that's the capability we can provide with Glacier Instant Retrieval. And then on the other end of the spectrum, with Glacier Deep Archive, again we have customers that have huge archives of data that they be looking to have that 3-AZ durability that we provide with Glacier, and make sure that data is protected. But really, you know expect to access it once a year if ever. Now it could be a backup copy of data or secondary or tertiary copy of data, could be data that they just don't have an active use for it. And I think that's one of the things we're starting to see grow a lot, is customers that have shared data sets where they may not need that data right now but they do want to keep it because as they think about, again these like new applications that can drive top line growth, they're finding that they may go back to that data six months or nine months from now and start to really actively use it. So if they want that option value to keep that data so they can use it down the road, Glacier Deep Archive, or Glacier Flexible Retrieval, which is kind of our storage class right in the middle of the road. Those are great options for customers to keep the data, keep it safe and secure, but then have it, you know pretty accessible when they're ready to get it back. >> Got it, thank you for that. So, okay, so customers have choices. I want to get into some of the competitive differentiators. And of course we were talking earlier about cost optimization, which is obviously an important topic given the macro environment you know, but there's more. And so help us understand what's different about AWS in terms of helping customers get value from their data, cost reduction as a component of value, part of the TCO, for sure. But just beyond being a cloud bit bucket, you know just a storage container in the cloud, what are some of the differentiators that you can talk to? >> Yeah, well Dave, I mean, I think that when it comes to value, I think there's tremendous benefits in AWS, well beyond just cost reduction. I think, you know, part of it is S3 now has built, I think, an earned reputation for being resilient, for storing, you know, at massive scale giving customers that confidence that they will be able to scale up. You know, we store more than 200 trillion objects. We regularly peak at over 100 million requests per second. So customers can build on S3 and Glacier with the confidence that we're going to be there to help their applications grow and scale over time. And then I think that in all of the applications both first party and third party, the customers can use, and services that they can use to build modern applications is an incredible benefit. So whether it's all of our serverless offerings, things like Lambda or containers and everything we have to manage that. Or whether it's the deep analytics and machine learning capabilities we have to help really extract, you know value and insight from data in near real time. You know, we're just seeing an incredible number of customers build those kinds of applications where they're processing data and feeding their results right back into their business right away. So I'm just going to briefly mention a couple, like, you know one example is ADP that really helps their customers measure, compare and sort of analyze their workforce. They have a couple petabytes of data, something like 25 billion individual data points and they're just processing that data continuously through their analytics and machine learning applications to then again, give those insights back to their customers. Another good example is AstraZeneca. You know, they are processing petabytes and petabytes of genomic sequencing data. And they have a goal to analyze 2 million genomes over the next four years. And so they're just really scaling up on AWS, both from a pure storage point of view, but more importantly, from all of the compute and analytics capability on top that is really critical to achieving that goal. And then, you know, beyond the first party services we have as I mentioned, it's really our third party, right? The AWS partner network provides customers an incredible range of choice in off the shelf applications that they can quickly provision and make use of the data to drive those business insights. And I think today the APN has something like 100,000 partners over in 150 countries. And we specifically have a storage competency partner where customers can go to get those applications that directly work, you know, on top of their data. And really, like I said, drive some of that insight. So, you know, I think it's that overall benefit of being able to really do a lot more with their data than just have it sit idle. You know, that's where I think we see a lot of customers interested in driving additional value. >> I'm glad you mentioned the ecosystem, and I'm glad you mentioned the storage competency as well. So there are other storage partners that you have, even though you're a head of a big storage division. And then I think there's some other under the cover things too. I've recently wrote, actually have written about this a lot. Things like nitro and rethinking virtualization and how to do, you know offloads. The security that comes, you know fundamentally as part of the platform is, I think architecturally is something that leads the way in the industry for sure. So there's a lot we could unpack, but you've fundamentally changed the storage market over the last 16 years. And again, I've written about this extensively. We used to think about storage in blocks or you got, you know, somebody who's really good in files, there were companies that dominated each space with legacy on-prem storage. You know, when you think about object storage Kevin, it was a niche, right? It was something used for archival, it was known for its simple, get put syntax, great for cheap and deep storage, and S3 changed that. Why do you think that's happened and S3 has evolved, the object has evolved the way it has, and what's the future hold for S3? >> Yeah I mean, you know, Dave, I think that probably the biggest overall trend there is that customers are looking to build cloud native applications. Where as much of that application is managed as they can have. They don't want to have to spend time managing the underlying infrastructure, the compute and storage and everything that goes around it. And so a fully managed service like S3, where there's no provisioning storage capacity, there's, you know we provide the resiliency and the durability that just really resonates with customers. And I think that increasingly, customers are seeing that they want to innovate across the entire range of business. So it's not about a central IT team anymore, it's about engineers that are embedded within lines of business, innovating around what is critical to achieve their business results. So, you know, if they're in a manufacturing segment, how can we pull data from sensors and other instrumentation off of our equipment and then make better decisions about when we need to do predictive maintenance, how quickly we can run our manufacturing line, looking for inefficiencies. And so we've developed around our managed offerings like S3, we've just developed, you know, customers who are investing and executing on plans and you know transformations. That really give them, you know put digital technology directly into the line of business that they're looking for. And I think that trend is just going to continue. People sometimes ask me, well "I mean, 16 years, you know, isn't S3 done?" And I would say, "By no stretcher are we done." We have plenty of feedback from customers on ways that we can continue to simplify, reduce the kinds of things they need to do, when they're looking for example and rolling out new security policies and parameters across their entire organization. So raising the bar there, finding, you know, raising the bar on how they can efficiently manage their storage and reduce costs. So I think we have plenty of innovation ahead of us to continue to help customers provide that fully managed capability. >> Yeah I often say Kevin, the next 10 years ain't going to be like the last in cloud. So I really thank you for coming on theCube and sharing your insights, really appreciate it. >> Absolutely Dave, thanks for having me. >> You're welcome. Okay keep it right there for more coverage of AWS Storage Day 2022 in theCube. (calm bright music)
SUMMARY :
Hello, Kevin, good to see you again. to see you as always. and of course the launch And we think that, you know that you could take. that they may have, you When you think about S3- Glacier that changed the way And you know, but there's that you can talk to? And then, you know, beyond the and how to do, you know offloads. and you know transformations. So I really thank you of AWS Storage Day 2022 in theCube.
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Haseeb Budhani, Rafay & Kevin Coleman, AWS | AWS Summit New York 2022
(gentle music) (upbeat music) (crowd chattering) >> Welcome back to The City That Never Sleeps. Lisa Martin and John Furrier in New York City for AWS Summit '22 with about 10 to 12,000 of our friends. And we've got two more friends joining us here today. We're going to be talking with Haseeb Budhani, one of our alumni, co-founder and CEO of Rafay Systems, and Kevin Coleman, senior manager for Go-to Market for EKS at AWS. Guys, thank you so much for joining us today. >> Thank you very much for having us. Excited to be here. >> Isn't it great to be back at an in-person event with 10, 12,000 people? >> Yes. There are a lot of people here. This is packed. >> A lot of energy here. So, Haseeb, we've got to start with you. Your T-shirt says it all. Don't hate k8s. (Kevin giggles) Talk to us about some of the trends, from a Kubernetes perspective, that you're seeing, and then Kevin will give your follow-up. >> Yeah. >> Yeah, absolutely. So, I think the biggest trend I'm seeing on the enterprise side is that enterprises are forming platform organizations to make Kubernetes a practice across the enterprise. So it used to be that a BU would say, "I need Kubernetes. I have some DevOps engineers, let me just do this myself." And the next one would do the same, and then next one would do the same. And that's not practical, long term, for an enterprise. And this is now becoming a consolidated effort, which is, I think it's great. It speaks to the power of Kubernetes, because it's becoming so important to the enterprise. But that also puts a pressure because what the platform team has to solve for now is they have to find this fine line between automation and governance, right? I mean, the developers, you know, they don't really care about governance. Just give me stuff, I need to compute, I'm going to go. But then the platform organization has to think about, how is this going to play for the enterprise across the board? So that combination of automation and governance is where we are finding, frankly, a lot of success in making enterprise platform team successful. I think, that's a really new thing to me. It's something that's changed in the last six months, I would say, in the industry. I don't know if, Kevin, if you agree with that or not, but that's what I'm seeing. >> Yeah, definitely agree with that. We see a ton of customers in EKS who are building these new platforms using Kubernetes. The term that we hear a lot of customers use is standardization. So they've got various ways that they're deploying applications, whether it's on-prem or in the cloud and region. And they're really trying to standardize the way they deploy applications. And Kubernetes is really that compute substrate that they're standardizing on. >> Kevin, talk about the relationship with Rafay Systems that you have and why you're here together. And two, second part of that question, why is EKS kicking ass so much? (Haseeb and Kevin laughing) All right, go ahead. First one, your relationship. Second one, EKS is doing pretty well. >> Yep, yep, yep. (Lisa laughing) So yeah, we work closely with Rafay, Rafay, excuse me. A lot of joint customer wins with Haseeb and Co, so they're doing great work with EKS customers and, yeah, love the partnership there. In terms of why EKS is doing so well, a number of reasons, I think. Number one, EKS is vanilla, upstream, open-source Kubernetes. So customers want to use that open-source technology, that open-source Kubernetes, and they come to AWS to get it in a managed offering, right? Kubernetes isn't the easiest thing to self-manage. And so customers, you know, back before EKS launched, they were banging down the door at AWS for us to have a managed Kubernetes offering. And, you know, we launched EKS and there's been a ton of customer adoption since then. >> You know, Lisa, when we, theCUBE 12 years, now everyone knows we started in 2010, we used to cover a show called OpenStack. >> I remember that. >> OpenStack Summit. >> What's that now? >> And at the time, at that time, Kubernetes wasn't there. So theCUBE was present at creation. We've been to every KubeCon ever, CNCF then took it over. So we've been watching it from the beginning. >> Right. And it reminds me of the same trend we saw with MapReduce and Hadoop. Very big promise, everyone loved it, but it was hard, very difficult. And Hadoop's case, big data, it ended up becoming a data lake. Now you got Spark, or Snowflake, and Databricks, and Redshift. Here, Kubernetes has not yet been taken over. But, instead, it's being abstracted away and or managed services are emerging. 'Cause general enterprises can't hire enough Kubernetes people. >> Yep. >> They're not that many out there yet. So there's the training issue. But there's been the rise of managed services. >> Yep. >> Can you guys comment on what your thoughts are relative to that trend of hard to use, abstracting away the complexity, and, specifically, the managed services? >> Yeah, absolutely. You want to go? >> Yeah, absolutely. I think, look, it's important to not kid ourselves. It is hard. (Johns laughs) But that doesn't mean it's not practical, right. When Kubernetes is done well, it's a thing of beauty. I mean, we have enough customer to scale, like, you know, it's like a, forget a hockey stick, it's a straight line up, because they just are moving so fast when they have the right platform in place. I think that the mistake that many of us make, and I've made this mistake when we started this company, was trivializing the platform aspect of Kubernetes, right. And a lot of my customers, you know, when they start, they kind of feel like, well, this is not that hard. I can bring this up and running. I just need two people. It'll be fine. And it's hard to hire, but then, I need two, then I need two more, then I need two, it's a lot, right. I think, the one thing I keep telling, like, when I talk to analysts, I say, "Look, somebody needs to write a book that says, 'Yes, it's hard, but, yes, it can be done, and here's how.'" Let's just be open about what it takes to get there, right. And, I mean, you mentioned OpenStack. I think the beauty of Kubernetes is that because it's such an open system, right, even with the managed offering, companies like Rafay can build really productive businesses on top of this Kubernetes platform because it's an open system. I think that is something that was not true with OpenStack. I've spent time with OpenStack also, I remember how it is. >> Well, Amazon had a lot to do with stalling the momentum of OpenStack, but your point about difficulty. Hadoop was always difficult to maintain and hiring against. There were no managed services and no one yet saw that value of big data yet. Here at Kubernetes, people are living a problem called, I'm scaling up. >> Yep. And so it sounds like it's a foundational challenge. The ongoing stuff sounds easier or manageable. >> Once you have the right tooling. >> Is that true? >> Yeah, no, I mean, once you have the right tooling, it's great. I think, look, I mean, you and I have talked about this before, I mean, the thesis behind Rafay is that, you know, there's like 8, 12 things that need to be done right for Kubernetes to work well, right. And my whole thesis was, I don't want my customer to buy 10, 12, 15 products. I want them to buy one platform, right. And I truly believe that, in our market, similar to what vCenter, like what VMware's vCenter did for VMs, I want to do that for Kubernetes, right. And that the reason why I say that is because, see, vCenter is not about hypervisors, right? vCenter is about hypervisor, access, networking, storage, all of the things, like multitenancy, all the things that you need to run an enterprise-grade VM environment. What is that equivalent for the Kubernetes world, right? So what we are doing at Rafay is truly building a vCenter, but for Kubernetes, like a kCenter. I've tried getting the domain. I couldn't get it. (Kevin laughs) >> Well, after the Broadcom view, you don't know what's going to happen. >> Ehh. (John laughs) >> I won't go there! >> Yeah. Yeah, let's not go there today. >> Kevin, EKS, I've heard people say to me, "Love EKS. Just add serverless, that's a home run." There's been a relationship with EKS and some of the other Amazon tools. Can you comment on what you're seeing as the most popular interactions among the services at AWS? >> Yeah, and was your comment there, add serverless? >> Add serverless with AKS at the edge- >> Yeah. >> and things are kind of interesting. >> I mean, so, one of the serverless offerings we have today is actually Fargate. So you can use Fargate, which is our serverless compute offering, or one of our serverless compute offerings with EKS. And so customers love that. Effectively, they get the beauty of EKS and the Kubernetes API but they don't have to manage nodes. So that's, you know, a good amount of adoption with Fargate as well. But then, we also have other ways that they can manage their nodes. We have managed node groups as well, in addition to self-managed nodes also. So there's a variety of options that customers can use from a compute perspective with EKS. And you'll continue to see us evolve the portfolio as well. >> Can you share, Haseeb, can you share a customer example, a joint customer example that you think really articulates the value of what Rafay and AWS are doing together? >> Yeah, absolutely. In fact, we announced a customer very recently on this very show, which is MoneyGram, which is a joint AWS and Rafay customer. Look, we have enough, you know, the thing about these massive customers is that, you know, not everybody's going to give us their logo to use. >> Right. >> But MoneyGram has been a Rafay plus EKS customer for a very, very long time. You know, at this point, I think we've earned their trust, and they've allowed us to, kind of say this publicly. But there's enough of these financial services companies who have, you know, standardized on EKS. So it's EKS first, Rafay second, right. They standardized on EKS. And then they looked around and said, "Who can help me platform EKS across my enterprise?" And we've been very lucky. We have some very large financial services, some very large healthcare companies now, who, A, EKS, B, Rafay. I'm not just saying that because my friend Kevin's here, (Lisa laughs) it's actually true. Look, EKS is a brilliant platform. It scales so well, right. I mean, people try it out, relative to other platforms, and it's just a no-brainer, it just scales. You want to build a big enterprise on the backs of a Kubernetes platform. And I'm not saying that's because I'm biased. Like EKS is really, really good. There's a reason why so many companies are choosing it over many other options in the market. >> You're doing a great job of articulating why the theme (Kevin laughs) of the New York City Summit is scale anything. >> Oh, yeah. >> There you go. >> Oh, yeah. >> I did not even know that but I'm speaking the language, right? >> You are. (John laughs) >> Yeah, absolutely. >> One of the things that we're seeing, also, I want to get your thoughts on, guys, is the app modernization trend, right? >> Yep. >> Because unlike other standards that were hard, that didn't have any benefit downstream 'cause they were too hard to get to, here, Kubernetes is feeding into real app for app developer pressure. They got to get cloud-native apps out. It's fairly new in the mainstream enterprise and a lot of hyperscalers have experience. So I'm going to ask you guys, what is the key thing that you're enabling with Kubernetes in the cloud-native apps? What is the key value? >> Yeah. >> I think, there's a bifurcation happening in the market. One is the Kubernetes Engine market, which is like EKS, AKS, GKE, right. And then there's the, you know, what, back in the day, we used to call operations and management, right. So the OAM layer for Kubernetes is where there's need, right. People are learning, right. Because, as you said before, the skill isn't there, you know, there's not enough talent available to the market. And that's the opportunity we're seeing. Because to solve for the standardization, the governance, and automation that we talked about earlier, you know, you have to solve for, okay, how do I manage my network? How do I manage my service mesh? How do I do chargebacks? What's my, you know, policy around actual Kubernetes policies? What's my blueprinting strategy? How do I do add-on management? How do I do pipelines for updates of add-ons? How do I upgrade my clusters? And we're not done yet, there's a longer list, right? This is a lot, right? >> Yeah. >> And this is what happens, right. It's just a lot. And really, the companies who understand that plethora of problems that need to be solved and build easy-to-use solutions that enterprises can consume with the right governance automation, I think they're going to be very, very successful here. >> Yeah. >> Because this is a train, right? I mean, this is happening whether, it's not us, it's happening, right? Enterprises are going to keep doing this. >> And open-source is a big driver in all of this. >> Absolutely. >> Absolutely. >> And I'll tag onto that. I mean, you talked about platform engineering earlier. Part of the point of building these platforms on top of Kubernetes is giving developers an easier way to get applications into the cloud. So building unique developer experiences that really make it easy for you, as a software developer, to take the code from your laptop, get it out of production as quickly as possible. The question is- >> So is that what you mean, does that tie your point earlier about that vertical, straight-up value once you've set up it, right? >> Yep. >> Because it's taking the burden off the developers for stopping their productivity. >> Absolutely. >> To go check in, is it configured properly? Is the supply chain software going to be there? Who's managing the services? Who's orchestrating the nodes? >> Yep. >> Is that automated, is that where you guys see the value? >> That's a lot of what we see, yeah. In terms of how these companies are building these platforms, is taking all the component pieces that Haseeb was talking about and really putting it into a cohesive whole. And then, you, as a software developer, you don't have to worry about configuring all of those things. You don't have to worry about security policy, governance, how your app is going to be exposed to the internet. >> It sounds like infrastructure is code. >> (laughs) Yeah. >> Come on, like. >> (laughs) Infrastructure's code is a big piece of it, for sure, for sure. >> Yeah, look, infrastructure's code actually- >> Infrastructure's sec is code too, the security. >> Yeah. >> Huge. >> Well, it all goes together. Like, we talk about developer self-service, right? The way we enable developer self-service is by teaching developers, here's a snippet of code that you write and you check it in and your infrastructure will just magically be created. >> Yep. >> But not automatically. It's going to go through a check, like a check through the platform team. These are the workflows that if you get them right, developers don't care, right. All developers want is I want to compute. But then all these 20 things need to happen in the back. That's what, if you nail it, right, I mean, I keep trying to kind of pitch the company, I don't want to do that today. But if you nail that, >> I'll give you a plug at the end. >> you have a good story. >> But I got to, I just have a tangent question 'cause you reminded me. There's two types of developers that have emerged, right. You have the software developer that wants infrastructures code. I just want to write my code, I don't want to stop. I want to build in shift-left for security, shift-right for data. All that's in there. >> Right. >> I'm coding away, I love coding. Then you've got the under-the-hood person. >> Yes. >> I've been to the engines. >> Certainly. >> So that's more of an SRE, data engineer, I'm wiring services together. >> Yeah. >> A lot of people are like, they don't know who they are yet. They're in college or they're transforming from an IT job. They're trying to figure out who they are. So question is, how do you tell a person that's watching, like, who am I? Like, should I be just coding? But I love the tech. Would you guys have any advice there? >> You know, I don't know if I have any guidance in terms of telling people who they are. (all laughing) I mean, I think about it in terms of a spectrum and this is what we hear from customers, is some customers want to shift as much responsibility onto the software teams to manage their infrastructure as well. And then some want to shift it all the way over to the very centralized model. And, you know, we see everything in between as well with our EKS customer base. But, yeah, I'm not sure if I have any direct guidance for people. >> Let's see, any wisdom? >> Aside from experiment. >> If you're coding more, you're a coder. If you like to play with the hardware, >> Yeah. >> or the gears. >> Look, I think it's really important for managers to understand that developers, yes, they have a job, you have to write code, right. But they also want to learn new things. It's only fair, right. >> Oh, yeah. >> So what we see is, developers want to learn. And we enable for them to understand Kubernetes in small pieces, like small steps, right. And that is really, really important because if we completely abstract things away, like Kubernetes, from them, it's not good for them, right. It's good for their careers also, right. It's good for them to learn these things. This is going to be with us for the next 15, 20 years. Everybody should learn it. But I want to learn it because I want to learn, not because this is part of my job, and that's the distinction, right. I don't want this to become my job because I want, I want to write my code. >> Do what you love. If you're more attracted to understanding how automation works, and robotics, or making things scale, you might be under-the-hood. >> Yeah. >> Yeah, look under the hood all day long. But then, in terms of, like, who keeps the lights on for the cluster, for example. >> All right, see- >> That's the job. >> He makes a lot of value. Now you know who you are. Ask these guys. (Lisa laughing) Congratulations on your success on EKS 2. >> Yeah, thank you. >> Quick, give a plug for the company. I know you guys are growing. I want to give you a minute to share to the audience a plug that's going to be, what are you guys doing? You're hiring? How many employees? Funding? Customer new wins? Take a minute to give a plug. >> Absolutely. And look, I come see, John, I think, every show you guys are doing a summit or a KubeCon, I'm here. (John laughing) And every time we come, we talk about new customers. Look, platform teams at enterprises seem to love Rafay because it helps them build that, well, Kubernetes platform that we've talked about on the show today. I think, many large enterprises on the financial service side, healthcare side, digital native side seem to have recognized that running Kubernetes at scale, or even starting with Kubernetes in the early days, getting it right with the right standards, that takes time, that takes effort. And that's where Rafay is a great partner. We provide a great SaaS offering, which you can have up and running very, very quickly. Of course, we love EKS. We work with our friends at AWS. But also works with Azure, we have enough customers in Azure. It also runs in Google. We have enough customers at Google. And it runs on-premises with OpenShift or with EKS A, right, whichever option you want to take. But in terms of that standardization and governance and automation for your developers to move fast, there's no better product in the market right now when it comes to Kubernetes platforms than Rafay. >> Kevin, while we're here, why don't you plug EKS too, come on. >> Yeah, absolutely, why not? (group laughing) So yes, of course. EKS is AWS's managed Kubernetes offering. It's the largest managed Kubernetes service in the world. We help customers who want to adopt Kubernetes and adopt it wherever they want to run Kubernetes, whether it's in region or whether it's on the edge with EKS A or running Kubernetes on Outposts and the evolving portfolio of EKS services as well. We see customers running extremely high-scale Kubernetes clusters, excuse me, and we're here to support them as well. So yeah, that's the managed Kubernetes offering. >> And I'll give the plug for theCUBE, we'll be at KubeCon in Detroit this year. (Lisa laughing) Lisa, look, we're giving a plug to everybody. Come on. >> We're plugging everybody. Well, as we get to plugs, I think, Haseeb, you have a book to write, I think, on Kubernetes. And I think you're wearing the title. >> Well, I do have a book to write, but I'm one of those people who does everything at the very end, so I will never get it right. (group laughing) So if you want to work on it with me, I have some great ideas. >> Ghostwriter. >> Sure! >> But I'm lazy. (Kevin chuckles) >> Ooh. >> So we got to figure something out. >> Somehow I doubt you're lazy. (group laughs) >> No entrepreneur's lazy, I know that. >> Right? >> You're being humble. >> He is. So Haseeb, Kevin, thank you so much for joining John and me today, >> Thank you. >> talking about what you guys are doing at Rafay with EKS, the power, why you shouldn't hate k8s. We appreciate your insights and your time. >> Thank you as well. >> Yeah, thank you very much for having us. >> Our pleasure. >> Thank you. >> We appreciate it. With John Furrier, I'm Lisa Martin. You're watching theCUBE live from New York City at the AWS NYC Summit. John and I will be right back with our next guest, so stick around. (upbeat music) (gentle music)
SUMMARY :
We're going to be talking Thank you very much for having us. This is packed. Talk to us about some of the trends, I mean, the developers, you know, in the cloud and region. that you have and why And so customers, you know, we used to cover a show called OpenStack. And at the time, And it reminds me of the same trend we saw They're not that many out there yet. You want to go? And, I mean, you mentioned OpenStack. Well, Amazon had a lot to do And so it sounds like it's And that the reason why Well, after the Broadcom view, (John laughs) Yeah, let's not go there today. and some of the other Amazon tools. I mean, so, one of the you know, the thing about these who have, you know, standardized on EKS. of the New York City (John laughs) So I'm going to ask you guys, And that's the opportunity we're seeing. I think they're going to be very, I mean, this is happening whether, big driver in all of this. I mean, you talked about Because it's taking the is taking all the component pieces code is a big piece of it, is code too, the security. here's a snippet of code that you write that if you get them right, at the end. I just want to write my I'm coding away, I love coding. So that's more of But I love the tech. And then some want to If you like to play with the hardware, for managers to understand This is going to be with us Do what you love. the cluster, for example. Now you know who you are. I want to give you a minute Kubernetes in the early days, why don't you plug EKS too, come on. and the evolving portfolio And I'll give the plug And I think you're wearing the title. So if you want to work on it with me, But I'm lazy. So we got to (group laughs) So Haseeb, Kevin, thank you so much the power, why you shouldn't hate k8s. Yeah, thank you very much at the AWS NYC Summit.
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Kevin Farley, MariaDB | AWS Summit New York 2022
>>Good morning from New York city, Lisa Martin and John furrier with the cube. We are at AWS summit NYC. This is a series of summits this year, about 15 summit globally. And we're excited to be here, John, with about 10,000 folks. >>It's crowded. New York is packed big showing here at 80 of us summit. So it's super exciting, >>Super exciting. Just a little bit before the keynote. And we have our first guest, Kevin Farley joins us the director of strategic alliances at Maria DB. Kevin, welcome to >>The program. Thank you very much. Appreciate you guys having us. >>So all of us out from California to NYC. Yeah, lots of eyes. We got keynote with Warner Vogels coming up. We should be some good news, hopefully. Yep. But talk to us about Maria DB Skys cloud native version released a couple years ago. What's going on? >>Yeah, well, it's, you know, Skys SQL for us is really a be on the future. I think when we think about like the company's real mission is it's just creating a database for everyone. It's it's any cloud, any scale, um, any size of performance and really making sure that we're able to deliver on something that really kind of takes advantage of everything we've done in the market to date. If you think about it, there's not very many startups that have a billion downloads and 75% of the fortune 500 already using our service. So what we're really thinking about is how do we bridge that gap? How do we create a natural path for all of these customers? And if you think about not just Maria DB, but anyone else using the sequel query language, all the, my people, what I think most Andy jazzy TK, anyone says, you know, it's about 10% of the market currently is in the clouds. That's 90% of a total addressable market that hasn't done it yet. So creating cloud modernization for us, I think is just a huge opportunity. Do >>You guys have a great history with AWS? I want to just step back, you mentioned some stats on, on success. Can you scope the size and track record of Maria DB for us real quick and set the table? Because I think there's a bigger picture going on that we've been tracking for the past 13 years we address is the role of the database has always been one of those things where they didn't believe a one database fits all things, right. You guys have been part of that track record scope, the size and scale of Maria DB, the usage, the use cases and some of the successes. >>Yeah. I mean, like I said, some of the stats are already threw out there. So, you know, it is pervasive, I think is the best way to put it. I think what you look at what the database market really became is very siloed. Right? I think there was a lot of unique solutions that were built and delivered that had promise, but they also had compromise. And I think once you look at the landscape of a lot of fortune 500 companies, they have probably 10 to 15 different database solutions, right? And they're all doing unique things. They're difficult to manage. They're very costly. So what Marie DB is always kind of focused on is how do we continue to build more and more functionality into the database itself and allow that to be a single source of truth where application developers can seamlessly integrate applications. >>So then the theme of this event in New York city, which is scale dot, dot, dot, anything must align quite well with Maria and your >>Objectives. I mean, honestly, I think when I think of the problems that most database, um, companies, um, face customers, I should say it, it really comes down to performance and scale. Most of them like Maria DB, like you said, they it's like the car, you know, and love you've been driving it for years. You're an expert at it. It works great, but it doesn't have enough range. It doesn't go fast enough. It's hitting walls. That modern data requirements are just breaking. So scale for me is the favorite thing to talk about because what we launched as MariaDB expand, which is a plugable storage engine that is integrated into Skye, and it really gives you dynamic scale. So you can scale in, you can scale out, it's not costly compute to try to get for seasonality. So you can make your black Friday numbers. It's really about the dexterity to be able to come in and out as you need in a share, nothing architecture with full failover sale healing, high availability, married to the cloud for full cloud scale. And that's really the beauty of the AWS partnership. >>Can you elaborate a bit more on the partnership? How long have you guys been partners? Where is it now anything exciting coming out? >>Yeah, it it's, it's actually been a wonderful ride. They've really invested from the very beginning we went for the satisfactory. So they really brought a lot of resources to bear. And I think if you're looking at why it works, um, it's probably two things. I think the number one thing is that we share one of the core tenants and it's customer obsession in a, in a, in an environment where there is co-opetition right. You have to find paths for how do you get the best thing for the customer? And the second is pretty obvious, but if you look at any major cloud, their number one priority is getting large mission critical workloads into their cloud because the revenue is exponential on the backside. So what do we own? Large mission critical workloads. So if you marry that objective with AWS, the partnership is absolutely perfect for driving true revenue, growth scale, and, and revenue across, across both entities in the partner ecosystem. >>So Kevin talk about the, um, the hybrid strategy, cuz you're seeing cloud operations. Yep. Go hybrid. Amazon announced AWS announced outpost like four years ago. Right now edge is super hot. Yeah. So you're seeing like most of the enterprise is saying mm-hmm <affirmative> okay. Love cloud love the cloud database, but I got the on-prem hybrid cloud operations. Right. So it's not just proprietary operations. It's cloud ops. Yeah. How do you guys fit into that? What's the story. >>We, we actually it's. I mean, there's, there's all these new deliverables outposts, you know, come out with a promise. What we have is a reality right now, um, one of the largest, um, networking companies, which I can't mention yet publicly, um, we want a really big sky SQL deal, but what they had manufacturing plants, they needed to have on-prem deployments. So Maria DB naturally syncs with sky SQL. It's the same technology. It works in perfect harmony. So we really already deliver on the promise of hybrid, but of course there's a lot more we can grow in that area. And certainly thinking about app posts and other solutions, um, is definitely on the, the longer term roadmap of what could make sense for in our customer. What, >>What are some of the latest things that, that you guys are doing now that you weren't doing a few years ago that customers should know about the audience should know about? >>I mean, I think the game changer, we're always innovating. I mean, when you're the company that writes the code owns the code, you know, we can do hot fixes, we can do security patches, we can always do the things that give you real time access to what you need. But I think the game changer is what I mentioned a little bit earlier. And I think it's really the, the holy grail of the cloud. It's like, how can we take the, the SQL query language, which is well over 50% of the open source market. Right. And how do we convert that seamlessly into the cloud? How do we help you modernize on that journey? And expand gives you the ability to say, I can be the small, I can be a small startup. I got my C round. I don't wanna manage databases. I can use the exact same service as the largest fortune 100 company that has massive global scale and needs to be able to drive that across globe. Yeah. So I think that's the beauty is that it's really a democratization of the database, >>At least that, you know, we've been covering the big data space for 10 years. Remember all those different conversations had do those days and oh, they have big data and right. But then it's like too hard to set up. Then you had that kind of period where you saw a spark and data lakes emerge. Yeah. Then you, now it almost seems, seems like now more than ever, there's a data revolutions back. Right. It was almost like a lull in the, in, in the, in the market a little bit. Yeah. I'm gonna democratize data science right now. You got data. So now it just seems to be an explosion at that level. What's your analysis on that? Because you you've been in, in, in the weeds and in the, in the, in this market for 10 years. Yeah. And nothing really changed. It's just now it's more ready. Yeah. I think what's your observation. Why >>Is that? I think that's a really good question. And I love it cuz I mean, what the promise of things like could do and net new technologies sort of, it was always out there, but it required this whole net new lift and how do I do it? How do I manage it? How do I optimize it? The beauty of what we can do with Maria DB is that sky SQLs, which you already know and love. Right? And now we can Del you can deliver a data lake on S3, right? You can pull that data. And we also have the ability to do both analytical data and transactional data from the same database. So you can write applications that can pull column, store data up into, um, your application, but you can also have all of your asset transactions, which are absolutely required for all of your mission critical business. So I think that we're seeing more and more adoption. You've seen other companies start to talk about bringing the different elements in, but we're the only ones that really >>Do it and SQL standardizing that front end. Yeah. Even better than ever before. All the stuff under the covers is all being connected. >>That's the awesome part is right. Is you're literally doing what you already know how to do, but you blow it out on the back end, married to the cloud. And that I think is the real revolution of what makes usability real in the data space. And I think that's what was always the problem before >>When you're in partner conversations, you mentioned co-opetition. Yeah. <laugh> so I think when you're in partner conversations and customer conversations, there is a lot of the, the there's a lot of competition out there. Absolutely. Everyone's got their own key messages. What are the key differentiators that you're saying AWS Marie to be together better? And here's why, >>Yeah. I, I think that certainly you, you start with the global footprint of AWS, right? So what we rely on the most is having the ability to truly deal with global customers in availability zones, they're gonna optimize performance from them. But then when we look at what we do that really changes the game, it comes down to scale and performance. We actually just ran, um, a suspense test against cockroach that also does distributed sequel. Absolutely. You know, the results were off the chart. So we went public and said, we have an open challenge. Anyone that wants to try to beat, um, expand and Skye will we'll if you can, we'll put $25,000 towards charity. So we really are putting our money where our mouth is on that challenge. So we believe the performance cuz we've seen it and we know it's real, but then it's really always about data scale. Modern data requirements are breaking the mold of charting. They're breaking the mold of all these bandaids that people have put in these traditional services. And we give them future. We, we feature proof their investments, so they can say, Hey, I can start here. But if I end up being a startup that becomes Airbnb, I'm already built to blow it out on the back end. I can already use what I have. >>Speaking of startups, being the next Airbnb. If you look at behind us here, you can see, this is a really packed event in New York city events are back, but the ecosystem here is even flourishing. So Dave and I and Lisa were observing that we're still kind of in a growth mode, big time. So yeah, there's some market forces headwinds for the big unicorns, overfunded, you know, public companies, maybe the valuations are a little bit off, but there's still a surge of new innovations, new companies coming out of this. Um, and it's all around data and scale. It's all around new names. We've never heard of. Absolutely. What's your take on >>Reaction? Well, actually another awesome segues cuz in addition to the public clouds, I manage the ecosystem. And one of the things that we've really been focused on with Skys SQL is making it accessible API accessible. So if you're a company that has a huge Marine DB footprint change data capture might be the most important thing for you to say, we wanna do this, but we want you to stay in sync with our environments. Um, things like monitoring, things like BI, all of these are ecosystem plays and current partners that we have, um, that we really think about how do you holistically look at not only the database and what it can do, but how does it deliver value to different segments of your customer base or just your employee base that are using that stuff? So I think that's huge for us. >>Well, you know, one of the things that we talk often about is that every company, these days, regardless of industry, has to be a data company. Yep. You've gotta be able to access the data glean insights from an act on it quickly, whether it's manufacturing, retail, healthcare, are there any verticals in where Maria DB really excels? >>Um, so certainly we Excel in areas like financial services is huge DBS bank. Um, in APAC, one of our biggest customers, also one of the largest Oracle migrations, probably the, that we've ever done. A lot of people trying to get off Oracle, we make it seamless to get into Maria DB. Um, you can think about Samsung cloud and another, their entire consumer cloud is built on Maria DB, why it's integrated with expand right seasonality. So there's customers like that that really bring it home for us as far as ServiceNow tech sector. Right? So these are all different ones, but I think we're really strong in those >>Areas. So this brings up a good point. Dave and I a coined a term called super cloud at reinvent and Lisa and Dave were at multiple events we're together at events. And so a lot of people are getting behind this cuz it's multi-cloud sounds like something's broken. Yes. But so we call it super cloud because customers are building on top of ecosystems like Maria DB and others. Yeah. Not just AWS SOS does all the CapEx absolutely provide the value. So now people are having this new super cloud moment. We' saying we can get all the benefits of cloud scale mm-hmm <affirmative> without actually being a cloud. Right. So this is where the next gen layer comes. What's your reaction to, to super cloud. Do you think it's a thing? >>Well, I think it's a thing in the sense, from our perspective as an ISV, we're, we're laser focused on making sure that we support any cloud and we have a truly multicloud cloud platform. But the beauty of that as well is from a single UI, you're able to deploy databases in different clouds underneath that you're not looking at so you can have performance proximity, but you're still driving it through the same Skys UI. So for us it's, it's unequivocally true. Got it. And I think it's only ISVs like Maria DB that can deliver on that value because >>You're enabling, >>We're enabling it. Right. We partner, we build on top of everything. Right. So we can access everything underneath >>And they can then build on top of you. >>Sure, exactly. And that's exactly where it goes. Right? Yeah. So that, I think in that sense, the super cloud is actually already somewhat real. >>It's interesting. You look at the old, it spend, you take a big company. I won't say a name, but a leader in a, a vertical, they have such a big spend. Now they can leverage that spend in with the super cloud model. They then could become a service provider in the vertical. Absolutely capital one S doing it. Yeah. You're seeing, um, Goldman Sachs doing it. They have the power on the spend that they're leveraging in for their business and servicing their vertical and the smaller players. Do you see that trend? >>Well, I think that's the reality is that everyone is getting this place where if you're talking about sort of this broader super concept, you're talking about global scale, right? That's if in order to deliver a backbone that can service that model, you have to have the right data structure and the right database footprint to be able to scale. And I think that's what they all need to be able to do. And that's what we're really well positioned with Skys >>To enable companies, as we talked about a minute ago to truly become data companies. Yeah. And to be competitive and to scale on their own, where are your customer conversations? Are they at the C-suite level? Has that changed in the last couple of years? >>Uh, that's actually a really great way to state that question because I think you would've traditionally probably talked more to, um, the DBAs, right? They're the people that are having headaches. They're having problems. They're, they're trying to solve. We see a lot of developers now tons, right? They're thinking about, I have this, I have this new thing that I need to do to deliver this new application. And here's the requirements and the current model's broken. It doesn't optimize that it's a lot of work and it's hard to manage. So I think that we're in a great position to be able to take that to that next phase and deliver. And then of course, as you get deeper in with AWS, you're talking about, you know, CIO level, CISO level, they're they need to understand how do you fit into our larger paradigm. And many of these guys have, you know, hundreds of million dollar commits with AWS. So they think of their investment in the sense of the cloud stack. And we're part of that cloud stack, just like AWS services. So those conversations continue to happen certainly with our larger customers, cuz it truly is married. >>It is. And they continue to evolve. Kevin, thank you so much >>For joining. You're welcome. Great, >>John and me talking about what's going on with Maria >>D. Thank you, John. Thank you, Lisa. On behalf of Maria B, it was wonderful. Really >>Appreciate it. Fantastic as well for John furrier. I'm Lisa Martin. You're watching the cube live from New York city at AWS summit NYC, John and I we're back with our next guest in a minute.
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And we're excited to be here, John, with about 10,000 folks. So it's super exciting, And we have our first guest, Kevin Farley joins us the director of strategic alliances Appreciate you guys having us. So all of us out from California to NYC. And if you think about not just Maria I want to just step back, you mentioned some stats on, And I think once you look at the landscape of a lot of fortune 500 companies, So scale for me is the favorite thing to talk about because what we launched as MariaDB expand, And I think if you're looking at why it works, How do you guys fit into that? I mean, there's, there's all these new deliverables outposts, you know, the code owns the code, you know, we can do hot fixes, we can do security patches, we can always do the things So now it just seems to be an explosion at And now we can Del you can deliver a data lake on S3, right? All the stuff under the covers is all being connected. And I think that's what was always the problem before What are the key differentiators that you're saying AWS So we believe the performance cuz we've seen it and we know it's real, but then it's really always about If you look at behind us here, you can see, data capture might be the most important thing for you to say, we wanna do this, but we want you to stay Well, you know, one of the things that we talk often about is that every company, these days, regardless of industry, you can think about Samsung cloud and another, their entire consumer cloud is built on Maria DB, Do you think it's a thing? And I think it's only ISVs like Maria DB that can deliver on that value because So we can access everything underneath So that, I think in that sense, the super cloud is actually already You look at the old, it spend, you take a big company. And I think that's what they all need to be able to do. And to be competitive and to scale on their own, where are your customer conversations? And then of course, as you get deeper in with AWS, you're talking about, And they continue to evolve. You're welcome. On behalf of Maria B, it was wonderful. New York city at AWS summit NYC, John and I we're back with our next guest in
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Kevin Warenda and Drew Schlussel Wasabi Secure Storage Hot Takes
>>Drew and I are pleased to welcome Kevin Warda. Who's the director of information technology services at the Hotchkis school, a very prestigious and well respected boarding school in the beautiful Northwest corner of Connecticut. Hello, Kevin? >>Hello. It's nice to be here. Thanks for having me. >>Yeah, you, you bet. Hey, tell us a little bit more about the Hotchkis school and your role. >>Sure. The hacha school is an independent boarding school, grades nine through 12, as you said, very prestigious and in an absolutely beautiful location on the deepest freshwater lake in Connecticut, we have 500 K 500 acre main campus and a 200 acre farm down the street. My role is as the director of information technology services, essentially to oversee all of the technology that supports the school operations, academics, sports, everything we do on campus. >>Yeah. And you've had a very strong history in the educational field, you know, from that lens what's, what's the unique, you know, or not unique, but the pressing security challenge that's top of mind for you. >>I think that it's clear that educational institutions are a target these days, especially for ransomware. We have a lot of data that can be used by threat actors and schools are often underfunded in the area of it, security it in general sometimes. So I think threat actors often see us as easy targets or at least worthwhile to try to get into, >>Because specifically you are potentially spread thin underfunded. You gotta, you, you got students, you got teachers. So there really are some, are there any specific data privacy concerns as well around student privacy or regulations that you can speak to? >>Certainly because of the fact that we're an independent boarding school, we operate things like even a health center. So data privacy regulations across the board in terms of just student data rights Ferra, some of our students are under 18. So data privacy laws such as Copa apply HIPAA can apply. We have PCI regulations with many of our financial transactions, whether it be fundraising through alumni development, or even just accepting the revenue for tuition. So it's, it's a unique place to be. Again, we operate very much like a college would, right? We have all the trappings of a, of a private college in terms of all the operations we do. And that's what I love most about working education is that it's, it's all the industries combined in many ways. >>Very cool. So let's talk about some of the defense strategies from a practitioner point of view, then I want to bring in, in drew to the conversation. So what are the, the best practice and the right strategies from your standpoint of defending your, your data? >>Well, we take a defense and depth approach. So we layer multiple technologies on top of each other to make sure that no single failure is a key to getting beyond those defenses. We also keep it simple. You know, I think there's some core things that all organizations need to do these days in including, you know, vulnerability scanning, patching using multifactor authentication and having really excellent backups in case something does happen. >>Drew, are you seeing any similar patterns across other industries or customers? I mean, I know we're talking about some uniqueness in the education market, but what, what, what can we learn from other adjacent industries? >>Yeah, I, you know, Kevin is spot on and I love hearing what, what he's doing going back to our prior conversation about zero trust, right? That defense in depth approach is beautifully aligned, right? With a zero trust approach, especially things like multifactor authentication, always shocked at how few folks are applying that very, very simple technology and, and across the board, right? I mean, Kevin is referring to, you know, financial industry, healthcare industry, even, you know, the security and police, right. They need to make sure that the data that they're keeping evidence right. Is secure and imutable right, because that's evidence, >>Well, Kevin paint a picture for us, if you would. So you were primarily on, Preem looking at potentially, you know, using more cloud, you were a VMware shop, but tell us, paint a picture of your environment, kind of the applications that you support and, and the kind of, I wanna get to the before and the, after wasabi, but start with kind of where you came from. >>Sure. Well, I came to the hatchet school about seven years ago and I had come most recently from public K12 and municipal. So again, not a lot of funding for it in general security or infrastructure in general. So Nutanix was actually a solu, a hyperconverged solution that I implemented at my previous position. So when I came to Hodges and found mostly on-prem workloads, everything from the student information system to the card access system, that students would use financial systems, they were almost all on premise, but there were some new SAS solutions coming in play. We had also taken some time to do some business continuity planning, you know, in the event of some kind of issue. I don't think we were thinking about the pandemic at the time, but certainly it helped prepare us for that. So as different workloads were moved off to hosted or cloud based, we didn't really need as much of the on premise compute and storage as, as we had. And it was time to retire that cluster. And so I brought the experience I had with Nutanix with me, and we consolidated all that into a, a hyper-converged platform, running Nutanix AV, which allowed us to get rid of all the cost of the VMware licensing as well. And it is an easier platform to manage, especially for small it shops like ours. >>Yeah. AHV is the Acropolis hypervisor. And so you migrated off of VMware avoidance V the VTax avoidance. That's a common theme among Nu Nutanix customers. And now did you consider moving into AWS? You know, what was the catalyst to consider wasabi as part of your defense strategy? >>We were looking at cloud storage options and they were just all so expensive, especially in egress fees to get data back out, WASA became across our, our desks. And it was such a low, low barrier to entry to sign up for a trial and get, you know, terabyte for a month. And then it was, you know, $6 a month for terabyte. After that, I said, we can try this out in a very low stakes way to see how this works for us. And there was a couple things we were trying to solve at the time. It wasn't just a place to put backup, but we also needed a place to have some files that might serve to some degree as a content delivery network. Some of our software applications that are deployed through our mobile device management needed a place that was accessible on, on the internet that they could be stored as well. >>So we were testing it for a couple different scenarios and it worked great, you know, performance wise, fast security wise. It has all the features of, of S3 compliance that works with, with Nutanix and anyone who's familiar with S3 permissions can apply them very easily. And then there was no egress fees. We can pull data down, put data up at will, and it's not costing us any extra, which is excellent because especially in education, we need fixed costs. We need to know what we're gonna spend over a year before we spend it and not be hit with, you know, bills for, for egres or, or because our workload or our data storage footprint grew tremendously. We need, we need that. We, we can't have the variability that the cloud providers would give us. >>So Kevin, you, you explained you're hypersensitive about security and privacy for obvious reasons that we discussed. Were you concerned about doing business with a company with a funny name? Was it the trial that got you through that knothole? How did you address those, those concerns as an it practitioner? >>Yeah, anytime we adopt anything, we go through a risk review. So we did our homework and we checked the funny name really means nothing. There's lots of companies with funny names. >>I think we don't go based on the name necessarily, but we did go based on the history understanding, you know, who started the company, where it came from and really looking into the technology, understanding that the value proposition, the ability to, to provide that lower cost is based specifically on the technology, in which it lays down data. So, so having a legitimate, reasonable, you know, excuse as to why it's cheap, we weren't thinking, well, you know, you get what you pay for it. It may be less expensive than alternatives, but it's, it's not cheap. It's not, you know, it's, it's reliable. And that was really our concern. So we, we did our homework for sure before even starting the trial, but then the trial certainly confirmed everything that we had learned. >>Yeah. Thank you for that. Drew explain the whole egres charge. We hear a lot about that. What do people need to know? >>First of all, it's not a funny name, it's a memorable name, date, just like the cube. Let's be very clear about that. Second of all egres charges. So, you know, other storage providers charge you for every API call, right? Every get every, put every list, everything okay. It's, it's part of their, their, you know, their, their process. It's part of how they make money. It's part of how they cover the cost of all their other services. We don't do that. And I think, you know, as, as Kevin has pointed out, right, that's a huge differentiator because you're talking about a significant amount of money above and beyond. What is the list price? In fact, I would tell you that most of the other storage providers, hyperscalers, you know, their list price, first of all, is, is, you know, far exceeding anything else in the industry, especially what we offer and then right. Their, their additional cost, the egres cost, the API requests can be two, three, 400% more on top of what you're paying per terabyte. >>So you used the little coffee analogy earlier in our conversation. So I'm, here's what I'm imagining. Like I have a lot of stuff. Right. And, and I, I, I had to clear up my bar and I put some stuff in storage, you know, right down the street and I pay them monthly. I can't imagine having to pay them to go get my stuff. That's kinda the same thing here. >>Oh, that's a great metaphor, right. That, that storage locker, right? Yeah. You know, can you imagine every time you wanna open the door to that locker and look inside having to pay a fee? >>No, no, that would be annoying. >>Or, or every time you pull into the yard and you want to put something in that storage locker, you have to pay an access fee to get to the yard. You have to pay a door opening fee. Right. And then if you wanna look and get an inventory of everything in there, you have to pay and it's ridiculous. Yeah. It's your data, it's your storage, it's your locker. You've already paid the annual fee probably cuz that they gave you a discount on that. So why shouldn't you have unfettered access to your data? That's what wasabi does. And I think as Kevin pointed out, right, that's what sets us completely apart from everybody >>Else. Okay, good. That's helpful. It helps us understand how Wasabi's different. Kevin. I'm always interested when I talk to practitioners like yourself in, in, in learning what you do, you know, outside of the technology, what are you doing in terms of educating your community and making them more cyber aware? Do you have training for students and faculty to learn about security and, and ransomware protection? For example? >>Yes. Cyber security awareness training is definitely one of the required things everyone should be doing in their organizations. And we do have a program that we use and we try to make it fun and engaging too. Right? This is, this is often the checking, the box kind of activity. Insurance companies require it, but we wanna make it something that people want to do and wanna engage with. So even last year, I think we did one around the holidays and kind of pointed out the kinds of scams they may expect in their personal life about, you know, shipping of orders and time for the holidays and things like that. So it wasn't just about protecting our school data. It's about the fact that, you know, protecting their information is something you do in all aspects of your life. Especially now that the folks are working hybrid off of working from home with equipment from the school, this stakes are much higher and people have a lot of our data at home. And so knowing how to protect that is important. And so we definitely run, run those programs in a way that, that we want to be engaging and fun and memorable so that when they do encounter those things, especially email threats, they know how to handle them. >>So when you say fun, it's like you come up with an example that we can laugh at until of course we click on that bad link, but I'm sure you can, you can come up with a lot of interesting and engaging examples. Is that what you're talking about? About having fun? >>Yeah. I mean, sometimes they are kind of choose your own adventure type stories. You know, they, they, they, they stop as they run. So they're, they're, they're telling a story and they stop and you have to answer questions along the way to keep going. So you're not just watching a video, you're engaged with the story of the topic. Yeah. That's why I think is, is memorable about it, but it's also, that's what makes it fun. It's not, you're not just watching some talking head saying, you know, to avoid shortened URLs or to check, to make sure, you know, the sender of, of the email. Now you you're engaged in a real life scenario story that you're kind of following and making choices along the way and finding out was that the right choice to make or maybe not. So that's where I think the learning comes in. >>Excellent. Okay, gentlemen, thanks so much. Appreciate your time. Kevin drew awesome. Having you in the cube. >>My pleasure. Thank you. >>Yeah. Great to be here. Thanks. Okay. In a moment, I'll give you some closing thoughts on the changing world of data protection and the evolution of cloud object storage. You're watching the cube, the leader in high tech enterprise coverage.
SUMMARY :
Who's the director of information technology services It's nice to be here. Hey, tell us a little bit more about the Hotchkis school and your role. location on the deepest freshwater lake in Connecticut, we have 500 K 500 acre you know, from that lens what's, what's the unique, you know, or not unique, We have a lot of data that can be used by threat actors or regulations that you can speak to? Certainly because of the fact that we're an independent boarding school, we So let's talk about some of the defense strategies from a practitioner point of view, you know, vulnerability scanning, patching using multifactor authentication and you know, financial industry, healthcare industry, even, you know, kind of the applications that you support and, and the kind of, I wanna get to the before and the, We had also taken some time to do some business continuity planning, you know, And so you migrated off to entry to sign up for a trial and get, you know, terabyte for a month. we spend it and not be hit with, you know, bills for, Was it the trial that got you through that knothole? So we did our well, you know, you get what you pay for it. Drew explain the whole egres charge. the other storage providers, hyperscalers, you know, their list price, first of all, I, I had to clear up my bar and I put some stuff in storage, you know, right down the street and I You know, can you imagine every So why shouldn't you have unfettered access to your data? you know, outside of the technology, what are you doing in terms of educating your community and making them more cyber aware? It's about the fact that, you know, protecting their information So when you say fun, it's like you come up with an example that we can laugh at until of course we click URLs or to check, to make sure, you know, the sender of, of the email. Having you in the cube. Thank you. In a moment, I'll give you some closing thoughts on the changing world of data
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Kevin Miller, Amazon Web Services
(uplifting music) >> The data lake we see is evolving and ChaosSearch has built some pretty cool tech to enable customers to get more value out of data that's in lakes so that it doesn't become stagnant. Time to dig deeper, dive deeper into the water. We're here with Kevin Miller, who's the vice president and general manager of S3 at Amazon Web Services. We're going to talk about activating S3 for analytics. Kevin, welcome. Good to see you again. >> Yeah, thanks, Dave. It's great to be here again. >> So S3 was the very first service offered by AWS 15 years ago. We covered that out in Seattle. It was a great event you guys had. It has become the most prominent and popular example of object storage in the marketplace. And for years, customers use S3 as simple, cheap data storage, but because there's so much data now stored in S3, customers are looking to do more with the platform. So, Kevin, as we look ahead to reinvent this year, we're super excited about that, what's new? What's got you excited when it comes to the AWS flagship storage offering? >> Yeah, Dave. Well, that's right. And we're definitely looking forward to reinvent. We have some fun things that we're planning to announce there, so stay tuned on those. But, I'd say that one of the things that's most exciting for me as customers do more with their data and look to store more, to capture more of the data that they're generating every day, is our storage class that we had an announce a few years ago. But we actually just announced some improvements to the S3, intelligent-tiering storage class. And this is really our storage class, the only one in the cloud at this point that delivers automatic storage cost savings for customers where the data access patterns change. And that can happen, for example, as customers have some data that they're collecting and then a team spins up and decides to try to do something more with that data, and that data that was very cool and sitting sort of idle is now being actively used. And so with intelligent tiering, we're automatically monitoring data. And then, for customers there's no retrieval costs and no tiering charges. We're automatically moving the data into an access tier that reduces their costs, though, when that that data is not being accessed. So we've announced some improvements to that just a few months ago. And I'll just say, I look forward to some more announcements at reinvent, that will continue to extend what we have in our intelligent-tiering storage class. >> That's cool, Kevin. I mean, you've seen, you know, that technology, that tiering concept had been around, you know. But since back in the mainframe days the problem was it was always inside a box. So you didn't have the scale of the cloud and you didn't have that automation. So, I want to ask you, as the leader of S3, that business, when you meet with customers, Kevin, what do they tell you that they're facing as challenges when they want to do more, get better insights out of all that data that they've moved into S3? >> Well, I think that's just it, Dave. I think that most customers I speak with, of course they have the things that they want to do with their storage costs, you know: reducing storage costs and just making sure they have capacity available. But increasingly I think the real emphasis is around business transformation. What can I do with this data, that's very unique and different that unlike, you know, prior optimizations where it would just reduce the bottom line, they're saying, what can I do that will actually drive my top line more by either, you know, generating new product ideas, allowing for faster closed-loop process for acquiring customers? And so it's really that business transformation and everything around it that I think is really exciting. And for a lot of customers, that's a pretty long journey. And helping them get started on that, including transforming their workforce, and up-skilling, you know, parts of their workforce to be more agile and more oriented around software development, developing new products using software. >> So when I first met the folks at ChaosSearch, Thomas took me through sort of the architecture with Ed as well. They had me at "you don't have to move your data." That was the grabber for me. And there are a number of public customers, Digital River, Blackboard, or Klarna, we're going to get the customer perspective little later on, and others, that use both AWS S3 and ChaosSearch. And they're trying to get more out of their S3 data and execute analytics at scale. So, wonder if you could share with us, Kevin, what types of activities and opportunities do you see for customers like these that are making the move to put their enterprise data in S3, in terms of capabilities and outcomes that they are trying to achieve and are able to achieve beyond using S3 as just a bit bucket? >> Right. Well, Dave, I think you hit the nail on the head when you talk about outcomes. 'Cause that, I think, is key here. Customers want to reduce the time it takes to get to a tangible result that affects their business, that improves their business. And so that's one of the things that excites me about what ChaosSearch is doing here, specifically is that automatic indexing. Being able to take the data, as it is, in their bucket, index it and keep that index fresh and then allow for the customers to innovate on top of that and to try to experiment with a new capability, see why it works and then double down on the things that really do work to drive that business. And so, I just think that that capability reduces the amount of what I might call undifferentiated heavy-lifting the work to just sort of index and organize and catalog data. And instead allow customers to really focus on here's the idea, let's try to get this into production or into a test environment as quickly as possible to see if this can really drive some value for our business. >> Yeah, so you're seeing that sort of value that you've mentioned, the non-differentiated heavy-lifting, moving up the stack, right? It used to just be provisioning and managing the storage. Now it's all the layers above that. And we're going beyond that. So my question to you, Kevin, is, how do you see the evolution of all this data at scale? I'm especially interested as it pertains to data that's, of course, in S3, which is your swim lane. When you talk to customers who want to do more with their data and analytics, and, by the way, even beyond analytics, you know, where it's having conversations now in the community about building data products and creating new value. But how do you respond and how do you see ChaosSearch fitting in to those outcomes? >> Well, I think that's it, Dave. It's about kind of going up the stack and instead of spending time organizing and cataloging data, particularly as the data volumes get much larger. When modern customers and modern data lakes that we're seeing, quickly go from a few petabytes to tens, to hundreds of petabytes or more. And, when you're reaching that kind of scale of data, a single person can't reasonably kind of wrap their head around all that data, you need tools. S3 provides a number of first party tools. And, you know, we're investing in things like our S3 batch operations to really help give the end users of that data, the business owners that leverage to manage their data at scale and apply their new ideas to the data and generate, you know, pilots and production work that really drives their business forward. And so I think that, you know, ChaosSearch, again, I would just say is a good example of, you know, the kind of software that I think helps go upstack, automate some of that data management, and just help customers focus really specifically on the things that they want to accomplish for their business. >> So this is really important. I mean, we've talked for well over a decade, how to get more value out of data, and it's been challenging for a lot of organizations. But we're seeing themes of scale, automation, fine-grain tooling ecosystem participating on top of that data and then extracting that data value. Kevin, I'm really excited to see you face to face at Reinventing, and learn more about some of the announcements that you're going to make. We'll see you there. >> Yeah. Stay tuned. Looking forward to seeing you in person. Absolutely. >> All right. Great to have Kevin on. Keep it right there because in a moment we're going to get the customer perspective on how a leading practitioner is applying ChaosSearch on top of S3 to create business value from data. You're watching The Cube, your leader at digital high-tech coverage. (uplifting music)
SUMMARY :
Good to see you again. great to be here again. of object storage in the marketplace. and that data that was very and you didn't have that automation. and everything around it that that are making the move the time it takes to get and managing the storage. of that data, the business to see you face to face Looking forward to seeing Great to have Kevin on.
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Kevin Miller, Amazon Web Services | ChaosSearch: Make Your Data Lake Deliver
>>Welcome back. I really liked the drill down a data lakes with ed Walsh and Thomas Hazel. They building some cool stuff over there. The data lake we see it's evolving and chaos search has built some pretty cool tech to enable customers to get more value out of data that's in lakes so that it doesn't become stagnant. Time to dig, dig deeper, dive deeper into the water. We're here with Kevin Miller. Who's the vice president and general manager of S3 at Amazon web services. We're going to talk about activating S3 for analytics. Kevin, welcome. Good to see you again. >>Yeah, thanks Dan. It's great to be here again. So >>S3 was the very first service offered by AWS 15 years ago. We covered that out in Seattle. It was a great event you guys had, it has become the most prominent and popular example of object storage in the marketplace. And for years, customers use S3 is simple, cheap data storage, but because there's so much data now stored in S3 customers are looking to do more with the platform. So Kevin, as we look ahead to reinvent this year, we're super excited about that. What's new. What's got you excited when it comes to the AWS flagship storage offering. >>Yeah. Dan, well, that's right. And we're definitely looking forward to reinvent. We have some fun things that we're planning to announce there. So stay tuned on those, but I'd say that one of the things that's most exciting for me as customers do more with their data and look to store more, to capture more of the data that they're generating every day is our storage class that we had an announced a few years ago, but we, we actually just announced some improvements to the S3 intelligent tiering storage class. And this is really our storage class. The only one in the cloud at this point that delivers automatic storage cost savings for customers where the data access patterns change. And that can happen. For example, as customers have some data that they're collecting and then a team spins up and decides to try to do something more with that data and that data that was very cool and sitting sort of idle is now being actively used. And so with intelligent tiering, we're automatically monitoring data. And then there's for customers. There's no retrieval costs and no tiering charges. We're automatically moving the data into an access tier that reduces their costs though. And that data is not being accessed. So we've announced some improvements to that just a few months ago. And I'll just say, I look forward to some more announcements at reinvent that will extend, continue to extend what we have in our intelligent tiering storage class. >>That's cool, Kevin. I mean, you've seen, you know, that technology, that tiering concept had been around, you know, but since back in the mainframe days, the problem was, it was always inside a box. So you, you didn't have the scale of the cloud and you didn't have that automation. So I want to ask you as the leader of that business, when you meet with customers, Kevin, what do they tell you that they're there they're facing as challenges when they want to do more, get better insights out of all that data that they've moved into S3? >>Well, I think that's just it, Dave. I think that most customers I speak with they, of course they have the things that they want to do with their storage costs and reducing storage costs and just making sure they have capacity available. But increasingly I think the real emphasis is around business transformation. What can I do with this data? That's very unique and different than either that unlike, you know, prior optimizations where it would just reduce the bottom line, they're saying, what can I do that will actually drive my top line more by either, you know, generating new product ideas, um, allowing for faster, you know, close, closed loop process for acquiring customers. And so it's really that business transformation and all, everything around it that I think is really exciting. And for a lot of customers, that's a pretty long journey and, and helping them get started on that, including transforming their workforce and up-skilling, you know, parts of their workforce to be more agile and more oriented around software development, developing new products using software. >>So w when I first met the folks at, at chaos search, you know, Thomas took me through sort of the architecture w with ed as well. They had me at, you don't have to move your data. That was saying that was the grabber for me. And there are a number of public customers that digital river, uh, Blackboard or Klarna, we're going to get the customer perspective little later on and others that use both AWS S3 and chaos search. And they're trying to get more out of their, their S3 data and execute analytics at scale. So wonder if you could share with us Kevin, what types of activities and opportunities do you see for customers like these that are making the move to put their enterprise data in S3 in terms of capabilities and outcomes that they are trying to achieve and are able to achieve beyond using S3 is just a Bitbucket, >>Right? Well, Dan, I think you hit the nail on the head when you talk about outcomes. Cause that I think is, is key here. Customers want to reduce the time it takes to get to a tangible result that it affects the business that improves their business. And so that's one of the things that I excites me about what CAS search is doing here specifically is that automatic indexing, being able to take the data as it is in their bucket, index it and keep that index fresh and then allow for the customers to innovate on top of that and to try to experiment with a new capability, see, see what works and then double down on the things that really do work to drive that business. And so I just think that that capability reduces the amount of what I might call undifferentiated, heavy, lifting the work to just sort of index and organize and catalog data. And instead allow customers to really focus on here's the idea. Let's try to get this into production or into a test environment as quickly as possible to see if this can really drive some value for our business. >>Yeah. So you're seeing that sort of value that you've mentioned the non-differentiated heavy lifting, moving up the stack, right. It used to just be provisioning and managing the, now it's all the layers above that and it would go and beyond that. So my question to you, Kevin, is how do you see the evolution of this, all this data at scale I'm especially interested in, as it pertains to data that's of course, an S3, which is your swim lane. When you talk to customers who want to do more with their data and analytics, and by the way, even beyond analytics, you know, where it's having conversations now in the community about, about building data products and creating new value, but how do you respond and how do you see chaos search fitting in to those outcomes? >>Well, I think that's, that's it Dave, it's about kind of going up the stack and instead of spending time organizing and cataloging data, particularly as the data volumes give much larger when the modern customers and modern data lakes that we're seeing quickly go from a few petabytes to tens, to hundreds of petabytes or more. And when you reaching that kind of scale of data, it's a single person can reasonably kind of wrap their head around all that data. You need tools as three provides a number of first party tools and, you know, we're investing in things like our S3 batch operations to really help give the end users of that data, the business owners that leverage to manage their data at scale and apply their new ideas to the data and generate, you know, pilots and production work that really drives their business forward. And so I think that, you know, cast search again, I would just say as a good example of, you know, the kind of software that I think helps go, upstack automate some of that data management and just help customers focus really specifically on the things that they want to accomplish for their, their business. >>So this is, >>I mean, we've talked for well over a decade, how to get more value out of data. And it's been challenging for a lot of organizations, but we're seeing, we're seeing themes of scale automation, fine-grain tooling ecosystem participating, uh, on top of that data and then extracting that, that data value who Kevin, I'm really excited to see you face to face at re-inventing and learn more about some of the announcements that you're going to make. We'll see you there. >>Yeah. Stay tuned. Looking forward to seeing in person absolutely >>Have Kevin on, keep it right there because in a moment we're going to get the customer perspective on how a leading practitioner is applying chaos search on top of S3 to create a business value from data you're watching the cube, your leader, digital high tech coverage.
SUMMARY :
Good to see you again. So stored in S3 customers are looking to do more with the platform. And I'll just say, I look forward to some more announcements at reinvent that will extend, that business, when you meet with customers, Kevin, what do they tell you that they're And so it's really that business transformation and all, everything around it that I think is really exciting. So w when I first met the folks at, at chaos search, you know, And so that's one of the things that I excites So my question to you, Kevin, is how do you see the evolution of this, And so I think that, you know, cast search again, I would just say as a good example of, you know, I'm really excited to see you face to face at re-inventing and learn more about some Looking forward to seeing in person absolutely of S3 to create a business value from data you're watching the cube,
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Kevin Kroen, PwC & Bettina Koblick, UiPath | UiPath FORWARD IV
>>From the Bellagio hotel in Las Vegas, it's the cube covering UI path forward for brought to you by UI path. >>Welcome back to the queue. We are live at the Bellagio in Las Vegas, Lisa Martin, with Dave Volante UI path forward for it is so great to be sitting in an anchor desk next to Dave and with guests in person, we're going to be talking about automation workforce of the future. I've got two guests here with Dave and me. Kevin crone is here intelligent automation and digital upskilling leader from PWC. Kevin. Welcome. Thank you. Can't wait to talk about upskilling and Bettina Koblick is here the chief people officer at UiPath. Welcome to the program. Thanks for having me. So, as I understand that PWC has embedded UI path into a couple of product offerings. One of them we're going to talk about today, Kevin that's pro pro edge. Talk to me about that. What is that? >>So, um, as we look at, uh, challenges that C-suite leaders are facing, I think one of the biggest emerging challenges right now is around the topic of upscaling. There's the number of jobs that are being displaced, um, is growing by automation. But on the flip side, the number of jobs that are emerging is actually greater and there is a consistent challenge that gets cited there. All of our research through our CEO survey, their work we've done with the world economic forum and other sources around the need to fill that gap. And most leaders feel like they're not doing a good job to, to fill that. So, um, we at PWC have invested in developing a, a new software product called pro edge, which is really focused on, um, identifying the skills needed for the future, teaching those skills and helping to scale the usage of the skills and the organization. And one of the key skills as we look at the digital space is UI path. And we really think that, you know, teaching non technologists around the use of tools like robotic process automation is going to be one of those critical kind of must have skills in the future. >>And patina, you guys are using pro edge. Why, why, why? I mean, you're like the automation pros, what do you need? >>We need it because we have the same, um, challenges that every other company has that introduced us automation, right? People, um, people's time, their tasks that they have been doing are basically displaced. Um, and we're trying to figure out how do we up-skill re-skill how do we position people who now no longer are work working on maybe 50% of what they've done in the past for their next role? Um, so it's incredibly important for us, >>You know, you know this well, Tina and Kevin, you as well, when, when the automation trend RPA first hit, it was like, oh yeah, the trade press, come on. It's going to take away jobs, blah, blah, blah. Now we're working perpetual workdays, right? We all weekend all night, you never stopped working. You're always on. So I think people will brace automation, but as the chief people officer, first of all, how, how was it getting through the pandemic? And have you seen, I presume that UI path folks embrace automation, of course it's in your DNA, but have you seen others sort of, is that narrative done in, is COVID effected that >>I think COVID has affected it, um, for a number of reasons, because so many things shifted in how we do work. Number one, and I can talk about that a little more, but I yesterday I was in a customer advisory board meeting actually with Kevin. And the biggest conversation was not about the technology. It was around what happens when automation is introduced to a company and what happens with people, um, as to whether they want, they're willing to adopt, embrace, have an automation mindset. So that conversation isn't done at all. And it's probably one of the biggest conversations after, you know, adopting the technology, trying to introduce it as how do you drive adoption. And a lot of that is people's people's ability to understand how it will make their life easier, but then not be afraid about what's next. Uh, so I think it's absolutely still a conversation. I don't know if you feel the same. Yeah, >>Yeah. It it's been interesting. I think during the pandemic cause peoples, you know, day to day work lives have gone up ended and he start to think about, um, you know, the, the mixture between what I'll call kind of transaction oriented type work versus analytical type work. And if it just, you know, historically everyone's always said we should do less transaction work and more analytic work. But I think the pandemic was almost like forced that conversation on steroids and people's lot. You I've had to figure out that, like, I don't want to do this type of work and I'm being, I have more demands on me and I'm being asked to do other things, how can I do this more effectively? And so part of this becomes learning these skills to automate the things in front of you right now, the part of this becomes, I need to be able to, to actually have that analytical skill set in the future. And I think that is almost a precursor for what we see happening. And that was, that was the fun part of the conversation yesterday is thinking about, okay, well, what is the, you know, what is the, uh, the accounting analyst role five years from now and what someone does today versus what someone does in five years and how do you actually plan for that, >>The patina, where in your organization, like who's using it and talk to me about the adoption and their willingness to embrace it. >>Yeah. So we are, we've introduced it to our finance organization. One of the reasons we did that is because our finance organization is also a big user of automation, right? So, um, what's been really interesting is that because the technology or because pro edge kind of takes biases out of mapping, what a person can do, um, what learning paths there are for them and what their job will look like in the future, in which job do they go to or could be a potential path. I think it actually motivates people much beyond having work shifting because of automation. Because in addition, you also get to see a path, right. And everywhere you turn, just want to know what's the possibility for the future. So, um, while I'd like to say it was genius for us to envision that it's, it's a pleasant surprise and something, we should talk about more, >>I'm sensing a journey. It's always the case where I know I call it the force March to digital. We were thrown into this. And so, so much was unknown. And I know our team, I mean our producers and it's death by a thousand paper cuts in any one individual thing is not that bad, but yeah, the Moffitt, it's just, that's what kills your work day, your work week and your mental health. And so maybe it's, that's kind of the starting point is, are pigs a band-aid for, for, for, for that fundamental, but then it's wow. I can see the light bulb goes off. I can see the potential, that's where the digital upskilling comes in. I mean, maybe that's oversimplifying it, but how do you see that journey? Yeah. >>Yeah. I think there's a couple of different pieces with this cause, you know, and it goes back to the divide between the things you need to do now. And how do you think about making your life easier, but then it really goes to what you need to do in the future. And that journey to actually get there is tough because it's not just a question of, Hey, I need to pick up a textbook or pick up an online training module. And I'm just going to become an expert. It's really thinking about what are the, what's the combination of different skills. I need to learn. Some of that's going to be hands on technical skills. It's going to be platforms like UI path. It may be other complimentary platforms in the analytics space and other things. Um, some of this may also be on the kind of softer side. >>How do I learn how to work in a more agile way and have a design thinking mindset, have a product mindset, but then it's really how's that going to change my role in the future. And how do I actually, for lack of a better word, start to embed these practices in my job in a way that I'm actually learning these skills and it will stick. And how do you actually manage that co culture change? Um, for lack of better word over time. That was probably the biggest thing I picked up from yesterday was just some of this talk around change management and culture, uh, which is, you know, we, we have a lot of, for lack of better word techie. Cause if this conference would like to think about all the cool stuff that technology doing, but the big lesson learned is really, you know, you actually have to make the stick inside an organization. >>And in the last year, Kevin, I'm curious about the adoption because you know, everything we've seen so much acceleration in the last year that digital acceleration, the acceleration in automation, we've also seen tremendous, uh, people and from a cultural perspective, I'd love to, for you to shed some light on what you've seen since you've rolled this product out, how is the pandemic, has it been an enabler of that change management and that cultural change, which historically is very hard to do. >>It's very hard. And I think this, if, if I want to CFO or COO two years ago and talked about the skills gap in what was happening, the organization, I would probably get someone that would be on and say, okay, yeah, that, that, that is happening. We need to think about this, but I got 50 other things I need to worry about. You know, I think over the past year a while, things like, you know, TA TA, well, time is a big, uh, luxury or having excess time is a big luxury that most people don't have. I think there's a recognition that, um, it's a challenging work environment right now. We're trying to get more done. People are not in person. Um, people have, you know, there's issues with, with mental health and other challenges and there's, uh, almost like a renewed focus on how do we make employees lives better and better can mean different things. >>But when I think about it, it's, it's giving people a hope that they have a future career path, that their job is not going to be eliminated, that they're developing the right skills and they're being given the capacity to actually do that now. And so a lot of the discussions have really been are around that fact. And I would say probably more so than the traditional just cost saving discussion than most automation, um, threads in with RPA begin with this really, you know, became, um, we need to do this and we need to, you know, send a message to our employees that we really care about you. And this is something that is really going to be us investing in you as a perk in the future. >>What's the role of the head of human capital management in the context of automation? Is she the champion? Is she the therapist? Is she the change agent? Well, how do you see that? >>Well, clearly he should have been talking to the head of people, um, two years ago. We even, because, uh, the way I think about it, and I think a lot of people in my role think about it is, you know, a CFO really looks after the financial health of the company. Um, the focus for us is looking after the people, health of the company, right? And so I think, um, in my career, what I've learned is that change is constant. We all know this and, um, change for people is difficult. So the way I think about introducing new technology, introducing automation, introducing anything that changes or being forced to change because of something like a pandemic, um, what I really ended up thinking a lot about is how does that impact people and how do we, how do we help them through it? Um, so that's my lens. And I think that's a chief people officer lens to all of this, but makes a perfect partnership with platforms that make this easy for us. Because if you can imagine, uh, a C-suite person comes to, uh, comes to an HR department and says, tell me what we should do here. How do we develop all our people? And it's, it's an overwhelming task. What pro edge does is just beautifully delivers this on a platter, um, in a way that we could never do manually. So it's >>Talk to me a little bit Bettina about the last year and a half. And obviously as being the chief people, officer, you came in, you said about five months ago, but obviously during a very, very challenging time, I always think that the employee experience is directly related to the customer experience. I see them as inextricably linked, how have you been able to foster a good employee experience in your time here in a very strange world so that the customer experience, I mean, you guys are a fast moving company, 8,000 plus customers. So that, that customer experience is a stellar as UI path has always had to be. >>Yeah, I think for us, it came down to just some simple things. Um, one is just being flexible. Uh, there was not a one size fits all. We had to recognize that we have to meet people in a place that works for them, everybody, uh, dealt with a different reality and the same for our customers. Um, and I agree with you. I think employees that feel enabled that feel safe, that feel they have a future, um, have a much different relationship with their customers, um, then employees that are worried about their safety and security and whatnot. So we really took an approach of flexibility, safety, um, meeting people where they are jumping in when there were big crises in India and whatnot to really, really take care of our people and help them understand that we're here for >>Big impact on mental health. Did you see that, um, there was an insert in the wall street journal. I think it was last week, uh, women at work. Um, and it was a stat in there. I don't know if you're a working mom, but it said that, uh, 30, it was Qualtrics was the source. 30% of working moms said their mental health had declined since the pandemic. Interestingly only 15. I said only 15% of working dads. Um, so that was sort of interesting, uh, and notable, uh, but you know, to your point, CFO, financial health of the company, the chief people officer, the, the human capital health. Yeah. >>Um, very much so. And by the way, I'm not surprised by that stat as a woman. >>I thought it was, I thought it was low. I was talking to my wife about it the other day. She's not a working mom, but she's like my mental health, even though I'm not a working mom, I have my mental health. I'm a working dad, but, but I got it easier than she does, but, but, and I'm not surprised at the disparity. I'm surprised that the only 30% and 50%, I think it's a lot higher than that. And people may be just like, I don't know if that's actually, maybe some people like working at home and that's, I could see that both sides of that equation. Yeah. >>There's also a stigma around mental health that we've, that's been addressed in. So even during the Olympic coverage this last summer, but having your team be really focused and enabled and knowing that they took to your point, Kevin, from an upscale perspective, that they have a path where they can go, they can increase their own value to the company. >>I completely agree. And I think, uh, other studies show that what people really want is a future at work. And, and this is what I think privilege dresses. Beautiful. >>Yeah. It's interesting. Right. Cause I think when you talk about some of the mental health challenges, I think it can get down very quickly to a cab just on this crazy schedule or I'm on zoom for 14 hours a day. And I, I don't have the time to breathe in my time commuting where I may have had time to decompress. It's just been replaced with more meetings. And I think that that may be the, like the surface issue, but I actually think if you go below the surface, not being in the office, not having some of the in-person networking, not having some of that creates anxiety about the future. And you're not really sure around, okay, what does my career path look like? I may not be getting the amount of career counseling that I used to get just by impromptu conversations or, you know, just by more traditional ways. Um, but I think the reality is when we look at the way most companies are thinking about their future work models. It's not going to go back to the way the world operated two years ago, it's, we're going to be in some sort of hybrid model. And so it really becomes more important to actually dig below where maybe some of the challenges were in the passengers, not surfaced. And I think upskilling and thinking about, um, kind of role skills and roles, it just becomes a much more important conversation. >>Absolutely. Last question, Bettina for you, we're almost out of time, but you started this in the, in financial, in the finance organization. What do you see over the next couple of years in terms of being very much UI path land and expand with your customers? Where do you see it rolling out across two iPads. >>We're already talking to our sales enablement group. Um, for a couple of reasons we want them to experience it. We want them to have also, we want them to have the conversations with our customers much like what we learned yesterday, right? It's a multi-dimensional conversation. It's not just a financial ROI, it's a people journey, change management. So we'll, we're taking it to our sales enablement group. We're absolutely gonna use it in HR, uh, obviously. Um, and I, I would just think we'll use it in two years. It'll be enterprise wide >>Different is pro edge in the marketplace. And just in, particularly in terms of its business impact. >>Yeah. I take a stab. So when we think about the challenge in a topic like digital upskilling, I think in traditional approaches to learning, it would be okay, we're going to enroll someone in a learning program. You know, you're going to go through, do certain amount of self study. Maybe there's a class, the some classroom based training. And that's it. I think for us, we saw two different challenges on both sides of that. One was trying to identify who needs to learn, what, and what part of the organization, why is that important? What an executive may need to learn is going to be different from what someone who does the transaction processing, uh, for their, their full-time job needs to learn and learning kind of from basic digital acumen through kind of hands-on skills. What are the different, um, pieces? I think probably the more interesting part is the back end of that. >>And thinking about, you know, how do you actually put these skills into practice and how do you put scale? One of the buzzwords that's thrown around at this conference a lot is the concept of citizen led automation as a topic. And really how, how do you have your, does this users building bots or creating data dashboards or doing other things that is, um, that's challenging. So as we design the product, what we really wanted to think about was that end to end journey from kind of the point of identifying skills through the point of scaling a citizen led effort. It's one of the things we're really excited to be working with UI path on is one of the core technologies that we, that we view in this ecosystem is really thinking about how do you make that happen? And if the outcome is not just people are new things, but the outcome are, people are actually creating solutions that are, that are having an impact on their job on a day to day basis. We think that's a really powerful concept. >>It's really important work, what you guys are doing. Thank you both for joining David me on the program today, talking about this very interesting symbiotic relationship partners, PWC UI path customers. Really interesting, great work that you're doing. Thanks for joining us. Thank you so much for having us for Dave Volante. I'm Lisa Martin. You're watching the cube live from Las Vegas at the Bellagio UI path forward for it. We'll be right back, stick around.
SUMMARY :
UI path forward for brought to you by UI path. We are live at the Bellagio in Las Vegas, Lisa Martin, And we really think that, you know, teaching non technologists around the use of tools like And patina, you guys are using pro edge. We need it because we have the same, um, challenges that every other company has that And have you seen, And it's probably one of the biggest conversations after, you know, I think during the pandemic cause peoples, you know, day to day work The patina, where in your organization, like who's using it and talk to me about the adoption and their And everywhere you turn, just want to know what's the possibility for the future. I mean, maybe that's oversimplifying it, but how do you see that journey? divide between the things you need to do now. technology doing, but the big lesson learned is really, you know, you actually have to make the stick inside an And in the last year, Kevin, I'm curious about the adoption because you know, And I think this, if, if I want to CFO or COO And this is something that is really going to be us investing in you as a perk And I think that's a chief people officer lens to all I always think that the employee experience is directly related to the customer experience. I think employees that feel enabled that uh, and notable, uh, but you know, to your point, CFO, And by the way, I'm not surprised by that stat as a woman. I'm surprised that the only 30% and 50%, I think it's a lot So even during the Olympic coverage And I think, uh, other studies show that what people really I don't have the time to breathe in my time commuting where I may have had time to decompress. What do you see over the next couple of years in terms of being very much UI path Um, for a couple of reasons we want them to experience Different is pro edge in the marketplace. I think for us, we saw two different challenges on both sides of that. is one of the core technologies that we, that we view in this ecosystem is really thinking about how do you make that happen? It's really important work, what you guys are doing.
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Kevin L. Jackson, GC GlobalNet | CUBE Conversation, September 2021
(upbeat music) >> Hello and welcome to this special CUBE conversation. I'm John Furrier, host of theCUBE here, remote in Washington, DC, not in Palo Alto, but we're all around the world with theCUBE as we are virtual. We're here recapping the Citrix Launchpad: Cloud (accelerating IT modernization) announcements with CUBE alumni Kevin Jackson, Kevin L. Jackson, CEO of GC Global Net. Kevin, great to see you. Thanks for coming on. >> No, thank you very much, John. It's always a pleasure to be on theCUBE. >> It's great to have. You always have great insights. But here, we're recapping the event, Citrix Launchpad: Cloud (accelerator IT modernization). And again, we're seeing this theme constantly now, IT modernization, application modernization. People are now seeing clearly what the pandemic has shown us all that there's a lot of projects that need to be up-leveled or kill. There's a lot of things happening and going on. What's your take of what you heard? >> Well, you know, from a general point of view, organizations can no longer put off this digitalization and the modernization of their IT. Many of these projects have been on a shelf waiting for the right time or, you know, the budget to get right. But when the pandemic hit, everyone found themselves in the virtual world. And one of the most difficult things was how do you make decisions in the virtual world when you can't physically be with someone? How do you have a meeting when you can't shake someone's hand? And they all sort of, you know, stared at each other and virtually, of course, to try to figure this out. And they dusted off all of the technologies they had on the shelf that they were, you know, they were told to use years ago, but just didn't feel that it was right. And now it became necessary. It became the way of life. And the thing that really jumped at me yesterday, well, jumped at me with Launchpad, the Launchpad of the cloud is that Citrix honed in on the key issues with this virtual world. I mean, delivering applications, knowing what the internet state is so that you could select the right sources for information and data. And making security holistic. So you didn't have to, it was no longer sort of this bolted on thing. So, I mean, we are in the virtual world to stay. >> You know, good call out there. Honing in was a good way to put it. One quote I heard from Tim (Minahan) was, you know, he said one thing that's become painfully evident is a lot of companies are going through the pandemic and they're experiencing the criticality of the application experience. And he says, "Application experience is the new currency." Okay, so the pandemic, we all kind of know what's going on there. It's highlighting all the needs. But this idea of an application experience is the new currency is a very interesting comment because, I mean, you nailed it. Everyone's working from home. The whole work is shifting. And the applications, they kind of weren't designed to be this way 100%. >> Right, right. You know, the thing about the old IT was that you would build something and you would deploy it and you would use it for a period of time. You know, a year, two years, three years, and then there would be an upgrade. You would upgrade your hardware, you would upgrade your applications, and then you go through the process again, you know? What was it referred to as, it wasn't modernization, but it was refresh. You know, you would refresh everything. Well today, refresh occurs every day. Sometimes two or three times a day. And you don't even know it's occurring. Especially in the application world, right? I think I was looking at something about Chrome, and I think we're at like Chrome 95. It's like Chrome is updated constantly as a regular course of business. So you have to deploy this, understand when it's going to be deployed, and the customers and users, you can't stop their work. So this whole application delivery and security aspect is completely different than before. That's why this, you know, this intent driven solution that Citrix has come up with is so revolutionary. I mean, by being able to know the real business needs and requirements, and then translating them to real policies that can be enforced, you can really, I guess, project the needs, requirement of the organization anywhere in the world immediately with the applications and with this security platform. >> I want to get your reactions to something because that's right on point there, because when we look at the security piece and the applications you see, okay, your mind goes okay, old IT, new IT. Now with cloud, with the pandemic showing that cloud scale matters, a couple themes have come from that used to be inside the ropes concepts. Virtualization, virtual, and automation. Those two concepts are going mainstream because now automation with data and virtual, virtual work, virtual CUBE, I mean, we're doing virtual interviews. Virtualization is coming here. So building on those things. New things are happening around those two concepts. Automation is becoming much more programmable, much more real time, not just repetitive tasks. Virtual is not just doing virtual work from home. It's integrating that virtual experience into other applications. This requires a whole new organizational structure mindset. What's your thoughts on that? >> Well, one of the things is the whole concept of automation. It used to be a nice to have. Something that you could do maybe to improve your particular process, not all of the processes. And then it became the only way of reacting to reality. Humans, it was no longer possible for humans to recognize a need to change and then execute on that change within the allotted time. So that's why automation became a critical element of every business process. And then it expanded that this automated process needed to be connect and interact with that automated process and the age of the API. And then the organization grew from only relying on itself to relying on its ecosystem. Now an organization had to automate their communications, their integration, the transfer of data and information. So automation is key to business and globalization creates that requirement, or magnifies that requirement. >> One of the things we heard in the event was, obviously Citrix has the experience with virtual apps, virtual desktop, all that stuff, we know that. But as the cloud grows in, they're making a direct statement around Citrix is going to add value on top of the cloud services. Because that's the reality of the hybrid, and now soon to be multi-cloud workflows or architectures. How do you see that evolve? Is that something that's being driven by the cloud or the app experience or both? What's your take on that focus of Citrix taking their concepts and leadership to add value on top of the cloud? >> To be honest, I don't like referring to the cloud. It gives an impression that there's only a single cloud and it's the same no matter what. That couldn't be further from the truth. A typical organization will consume services from three to five cloud service providers. And these providers aren't working with each other. Their services are unique, independent. And it's up to the enterprise to determine which applications and how those applications are presented to their employees. So it's the enterprise that's responsible for the employee experience. Integrating data from one cloud service provider to another cloud service provider within this automated business process or multiple business processes. So I see Citrix is really helping the enterprise to continually monitor performance from these independent cloud service provider and to optimize that experience. You know, the things like, where is the application being consumed for? What is the latency today on the internet? What type of throughput do I need from cloud service provider A versus cloud service provider B? All of this is continually changing. So the it's the enterprise that needs to constantly monitor the performance degradation and look at outages and all of that. So I think, you know, Citrix is on point by understanding that there's no single cloud. Hybrid and multi-cloud is the cloud. It's the real world. >> You know, that's a great call. And I think it's naive for enterprises to think that, you know, Microsoft is sitting there saying hmm, let's figure out a way to really work well with AWS. And vice versa, right? I mean, and you got Google, right? They all have their own specialties. I mean, Amazon web service has got great compliance action going on there. Much back stronger than Microsoft. Microsoft's got much deeper legacy and integration to their base, and Google's doing great with developers. So they're all kind of picking their lanes, but they all exist. So the question in the enterprise is what? Do I, how do I deal with that? And again, this is an opportunity for Citrix, right? So this kind of comes down to the single pane of glass (indistinct) always talks about, or how do I manage this new environment that I need to operate in? Because I will want to take advantage of some of the Google goodness and the Azure and the AWS. But now I got my own on premises. Bare metals grow. You're seeing more bare metal deals going down now because the cloud operations has come on premises. >> Yeah, and in fact, that's hybrid IT, right? I always see that there are an enterprise, when enterprise thinks about modernizing or digitally transforming a business process, you have three options, right? You could put it in your own data center. In fact, building a data center and optimizing a data center for a particular process is the cheapest and most efficient way of executing a business process. But it's only way cheaper and efficient if that process is also stable and consistent. I'll say, but some are like that. But you can also do a managed service provider. But that is a distinctly different approach. And the third option is a cloud service provider. So this is a hybrid IT environment. It's not just cloud. It's sort of, you know, it's not smart to think everything's going to go into the cloud. >> It's distributed computing. We see (indistinct). >> Yeah, yeah, absolutely. I mean, in today's paperless world, don't you still use a pen and paper and pencil? Yes. The right tool for the right job. So it's hybrid IT. Cloud is not always a perfect thing. And that's something that I believe Citrix has looked at. That interface between the enterprise and all of these choices when it comes to delivering applications, delivering the data, integrating that data, and making it secure. >> And I think that's a winning positioning to have this app experience, the currency narrative, because that ultimately is an outcome that you need to win on. And with the cloud and the cloud scale that goes on with all the multiple services now available, the company's business model is app driven, right? That's their application. So I love that, and I love that narrative. Also like this idea of app delivering security. It's kind of in the weeds a little bit, but it highlights this hybrid IT concept you were saying. So I got to ask you as the expert in the industry in this area, you know, as you have intent, what do they call it? Intent driven solution for app delivering security. Self healing, continuous optimization, et cetera, et cetera. The KPIs are changing, right? So I want to get your thoughts on that. Because now, as IT shifts to be much faster, whether it's security teams or IT teams to service that DevOps speed, shifting left everyone talks about, what's the KPIs that are changing? What is the new KPIs that the managers and people can work through as a north star or just tactically? What's your thoughts? >> Well, actually, every KPI has to relate to either the customer experience or the employee experience, and sometimes even more important, your business partner experience. That's the integration of these business processes. And one of the most important aspects that people really don't think about is the API, the application programming interface. You know, you think about software applications and you think about hardware, but how is this hardware deployed? How do you deploy and expand the number of servers based upon more usage from your customer? It's via the API. You manage the customer experience via APIs. You manage your ability to interact with your business partners through the API, their experience. You manage how efficient and effective your employees are through their experience with the IT and the applications through the API. So it's all about that, you know, that experience. Everybody yells customer experience, but it's also your employee experience and your partner experience. So that depends upon this integrated holistic approach to applications and the API security. The web app, the management of bots, and the protection of your APIs. >> Yeah, that really nailed it. I think the position is good. You know, if you can get faster app delivery, keep the security in line, and not bolt it on after the fact and reduce costs, that's a winning formula. And obviously, stitching together the service layer of app and software for all the cloud services is really key. I got to ask you though, Kevin, since you and I have riffed on theCUBE about this before, more importantly now than ever with the pandemic, look at the work edge. People working at home and what's causing the office spaces changing. The entire network architecture. I mean, I was talking to a big enterprise that said, oh yeah, we had, you know, the network for the commercial and the network for dial up now 100% provisioned for everyone at home. The radical change to the structural interface has completely changed the game. What is your view on this? I mean, give us your, where does it go? What happens next? >> So it's not what's next, it's where we are right now. And you need to be able to be, work from anywhere at any time across multiple devices. And on top of that, you have to be able to adapt to constant change in both the devices, the applications, the environment, and a business model. I did a interview with Citrix, actually, from an RV in the middle of a park, right? And it's like, we did video, we did it live. I think it was through LinkedIn live. But I mean, you need to be able to do anything from anywhere. And the enterprise needs to support that business imperative. So I think that's key. It's it's not the future, it's the today. >> I mean, the final question I have for you is, okay, is the frog in the boiling water? At what point does the CIO and the IT leaders, I mean, their minds are probably blown. I can only imagine. The conversations I've been having, it's been, you know, be agile, do it in the cloud, do it at speed, fix the security, programmable infrastructure. What? How fast can I run? This is the management challenge. How are people dealing with this when you talk to them? >> First of all, the IT professional needs to focus on the business needs, the business requirements, the business key performance indicators, not technology, and a business ROI. The CIO has to be right there in the C sweep of understanding what's needed by the business. And there also has to be an expert in being able to translate these business KPIs into IT requirements, all right? And understanding that all of this is going to be within a realm of constant change. So the CIO, the CTO, and the IT professional needs to realize their key deliverable is business performance. >> Kevin, great insight. Loved having you on theCUBE. Thanks for coming on. I really appreciate your time highlighting and recapping the Citrix Launchpad: Cloud announcements. Accelerating IT modernization can't go fast enough. People, they want to go faster. >> Faster, faster, yes. >> So great stuff. Thanks for coming, I appreciate it. >> Thank you, John. I really enjoyed it. >> Okay, it's theCUBE conversation. I'm John Furrier, host of theCUBE. Thanks for watching. (upbeat music)
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Erez Berkner, Lumigo & Kevin O'Neill, Flex | AWS Startup Showcase
(upbeat music) >> Welcome to theCUBE and our Q3 AWS Startup Showcase. I'm Lisa Martin. I've got two guests here with me, Erez Berkner is back, the Co-Founder and CEO of Lumigo. Hey, Erez, good to see you. >> Hey, Lisa, great to be here again. >> And Kevin O'Neill, the CTO at Flex is here as well. Kevin, welcome. >> Hi, Lisa, nice to meet you. >> Likewise, we're going to give the audience an overview of Lumigo and Flex. Let's go ahead, Erez, and start with you. Talk to us about Lumigo, and I think you have a slide to pull up to walk us through? >> Yeah, I have a couple, so, great to be here again. And just as an overview, Lumigo is a serverless monitoring and debugging platform. Basically allowing the user, the developer to get an end-to-end view of every transaction in his cloud. It's basically distributed tracing that allows you from one hand to monitor, to see a visual representation of your transaction, but also allows you to drill down and debug the failure to get to the root cause. So essentially, once you have the visualization and if we'll move to the next slide, you can actually click and drill down and see all the relevant debug information like environment variables, duct rays, inputs, outputs, and so on and so forth. And by that, understanding the root cause. And sometimes those root causes of the problems are not just errors, they are latencies, they are hiccups. And for that, we can see on the next slide, where Lumigo allows you to see where do you spend your time? Where are the hiccups in your system? What's running in Paula to what in the same transaction, where you can optimize. And that's the essence of what Lumigo provides in a distributed environment and focusing on serverless. >> Got it, focusing on serverless, we'll dig into that in a second. Kevin, give us an overview of Flex. You're a customer of Lumigo? >> We are indeed. So Flex is a build smoothing platform. We help people pay their rent and other bills, in these times of uncertainty and cashflow, the first of the month for your rent, it's a big bill. Being able to split that up into multiple payments is a lot easier. And when we entered the market, you were looking at a place where people were using things like payday loans, which are just ridiculous, really hurting, hurt people in the longterm. So we want to come in with something that is a little more equitable, little fairer and help people who can well afford their rent. They just can't afford it on the first, right? And so we started with rent, and now we cover all the bills like utilities and things like that. >> What a great use case, and I can't even imagine, Kevin, in the last year and a half, how helpful that's been as the world has been so dynamic. So talk to me a little bit about what you were doing before Lumigo and we'll get into then why you went the serverless route. >> Right, so I came to Flex to help them out with some problems that we're having as our servers were scaling up. Obviously, when the business hit, it was really, it went from zero to 100 miles an hour so quickly. And so I came in to help sort out some of the growing issues. And so when I started looking at that, we were three developers and didn't want to spend time on ops, didn't want to spend time on all of the things that you have to do just to be in business, right? And it's really expensive in the technical space. If you get into something about Kubernetes or things like that, you spend a lot of time building that infrastructure, making sure, and that's really minimal value to your business. It's there for reliability, but it doesn't really focus in on the thing that is important to you. So we wanted to build something that minimized that, we talk about DevOps, we want it ops zero, right? So that's like DevOps is a really nice practice, but having people in that role, it seems like you're still doing ops, right? You still got people who are doing those things, and we want it to kind of eliminate that. So I had some experience with serverless before joining Flex. I thought we'll run up a few things and spike up a few things. When you come out of environments like Kubernetes or your more traditional AC to type infrastructure, you'd lose some things. And one of the big things you'd lose is platforms of visibility. So things like OpenTrace and Datadog, and things like that, that do these jobs of telling you what's going on in your infrastructure, you've got fairly complex infrastructure going on, lots of things happening. And so, we initially started with what was available on the platforms, right? So we started with your CloudWatch logs and New Relics, right? Which got us somewhere. But as soon as we started to get into more complex scenarios where we're talking across multiple hops, so through SQS and then through EventBridge and Dynamo, it was very difficult to be able to retrace a piece of information. And that's when we started looking around for solutions, we looked at big traditional pliers, the Datadogs, the New Relics and people like that. And then the serverless specific players, and we ended up landing on Lumigo, and I couldn't have been happier with the results, from day one, I was getting results. >> That's great, I want to talk about that too, especially as you say, we wanted to be able to focus on our core competencies and not spend time in resources that we didn't have in areas where we could actually outsource. So I want to go back to Erez, talk to me about some of the challenges that Kevin articulated, are those common across the board, across industries that Lumigo sees? >> Yeah, I think the main thing when we met Kevin main were about visibility and about ability to zoom out, see the bigger picture and when something actually fails or about to fail in production, being able to drill down to understand what happened, what is the root cause, and go ahead and fix it instead of going through different CloudWatch logs, and log groups and connecting the dots manually. And that's one of the most common challenges when enterprise, where software engineers are heading toward serverless, toward managed services. So, definitely we'll hear that it was many of our customers. >> So Kevin, talk about the infrastructure that you've set up with serverless and go through some of the main benefits that Flex is getting. >> Right, so look, the day one thing of course, is the number of people we need doing operations as we've grown is next to nothing, right? We are able to create in that, we all want this independence of execution, right? So as you scale, I think there's two ways really to scale a system, right? You can build a monolith and shot it, that works really, really well, right? You can just build something that just holds a ton of data and everything seems connected when you release it all in one place, or you build something that's a little more distributed and relies on asynchronous interactions effectively, like in everywhere but the edges, both of those things scale. The middle ground doesn't scale, right? That middle ground of synchronous systems talking to synchronous systems, at some point, your lightency is your sum of all the things you're talking to, right? So doing anything in a quick way is not possible. So when we started to look at things like, I'm sorry, so the other challenge is things like logging and understanding what's happening in your system. Logging is one of those things that you always don't have the thing logged that you're interested in, right? You put in whatever logging you like, but the thing you need will always be missing, which is why we've always taken a tracing approach, right? Why you want to use something like Lumigo or an OpenTrace, you don't sit there and say, "Hey, log this specifically," you log the information that's moving through the system. At that point, you can then look at what's happening specifically. So again, the biggest challenge for us is that we run 1500 landlords, right? We run 600 queues. There's a lot of information. We use an EventBridge, we use Dynamo, we use RDS, we've got information spread out. We moved stuff, but to third party vendors, we're talking out to say, two guys like Stripe and Co, and we're making calls out of those. And we want to understand when we've made those calls, what's the latency on those calls. And for a given interaction, it might touch 20 or 30 of those components. And so for us, the ability to say, "Hey, I want to know why this file to write down here." We need to actually look through everywhere, explain, and understand how it's complex, right? Where this piece of data that was wrong come from? And so, yeah, which is difficult in a distributed environment where your infrastructure is so much a part of somebody else's systems, you don't have direct access to assistance. You'd only got the side effects of the system. >> Right, so talk to me in that distributed environment, Kevin, how does Lumigo help to improve that? Especially as we're talking about payments and billing and sensitive financial information. >> Right, so in a couple of ways, the nice part about Lumigo is I really don't have to do much in order for it to just do its thing, right? This comes back to that philosophy of zero ops, right? Zero effort. I don't want to be concentrating on how I build my tracing infrastructure, right? I just want it to work. I want it to work out of the box when something happens, I want it to have happened. So Lumigo, when I looked at it, when I was looking at the platforms, the integration's so straightforward, the cost integration being straightforward is kind of useless, if it doesn't actually give you the information you want. And we had a challenge initially, which was, we use a lot of EventBridge, and of course, nothing tries to EventBridge until we got, I mentioned this to Erez and Co, and said, "Hey guys, we really need to try to EventBridge, and a little while later, we were tracing through EventBridge, which was fantastic. And because I would say 70% of our transactions evolve something that goes through EventBridge, the other thing there. We're also from an architectural standpoint, we're also what's known as an event source system. So we derive the state of the information from the things that have occurred rather than a current snapshot of what something looks like, right? So rather than you being Lisa with a particular phone number and particular email address stored in a database as a record, you are, Lisa changed the phone number, Lisa changed her email address. And then we take that sequence of things and create a current view of Lisa. So that also helps us with ordering, right? And at those lower levels, we can do a lot of our security. We can do a lot of our encryption, we can say that this particular piece of information, for example, a social security number is encrypted and never is available as plain text. And you need the keys to be able to unlock that particular piece of information. So we can do a lot of that, a lower level infrastructure, but that does generate a lot of movement of information. >> Right. >> And if you can't trace that movement of information, you're in a hurting place. >> So Erez, we just got a great testimonial from Kevin on how Lumigo's really fundamental to their environment and what they're able to deliver to customers, and also Kevin talked about, it sounds like some of the collaboration that went on to help get that EventBridge. Talk to me, Erez, about the collaborative partnership that you have with Flex. >> Yeah, so I think that it's more of a, I would say a philosophy of customers, the users come first. So this is what we're really trying to about. We always try to make sure there's an open communication with all of our customers and for us customer is a key and user's a key, not even a customer. And this is why we try to accommodate the different requests, specifically on this event, this was actually a while after AWS released the service and due to the partnership that we have with AWS, we were able to get this supported relatively fast and first to market supporting EventBridge, and connecting the dots around it. So that's one of the things that we really, really focused on. >> Kevin, back to you, how do you quantify the ROI of what Lumigo is delivering to Flex? >> That's a really good question. And Erez, and I've talked about this a few times, because the simple fact is if I add up the numbers, it costs me more to trace than it does to execute. But if I look at the slightly bigger picture, I also don't have op stuff, right? And I also have an ability to look at things very quickly. The service cost is nothing compared to what I would need if I was running my own tracing through OpenTrace with my own database, monitor the staff to support those things. But the management of those things, the configuration of those things, the multiple touchpoints I'd need for those things, they're not the simple thing. So, if you look at a raw cost, you go, oh man, that part is actually more than my execution costs at least certainly in the early days, but when I look at the entire cost of what it takes to watch manage and trace a system, it's a really easy song, right? And a lot of these things don't pay off until something goes wrong. Now we're heavy users of EventBridge. EventBridge has had two incidents in USA in the last six months, right? And we were able to say through our traffic, that was going through EventBridge, that the slowdown was occurring in EventBridge. In fact, we were saying that before was alerted in the IDR VUS dashboards, to say, "Hey, EventBridge is having problems," like we watch all their alerts, but we were saying an hour before leading into Titus saying, "Hey, there's something going wrong here." Right? Because we were seeing delays in the system. So things like that give you an opportunity to adjust, right? You can't do it. You're not going to be able to get everything off of EventBridge for that period. But at least I can talk to the business and say, "Hey, we're having an impact here, and this is what's going on. We don't think it's our systems, we think it's actually something external. We can see the tries, we see it going in, we see it coming out, it's a 20 minute delay." >> There's a huge amount of value in that, sorry, Kevin, in that visibility alone, as you said, and even maybe even some cost avoidance is there, if you're seeing something going wrong, you maybe can pivot and adjust as needed. But without that visibility, you don't have that. There's a lot of potential loss. >> Yeah, and it's one of those things that doesn't pay for itself until it pays for itself, right? It's like insurance, you don't need insurance until you need insurance. These sort of things, people look at these things and go, "Ah, what am I getting it from day to day?" And day to day, I'll use Lumigo, right? When I'm developing now, Lumigo is part of my development process, in that, I use it to make sure the information is flowing in the way I expect it to, right? Which wasn't what I expected to be able to do with it, right? It wasn't even a plan or anything I intended to use it for, but day to day now, when I buy something off, one of the checks I go through when I'm debugging or when I'm looking at a problem, especially distributed problem is what went through Lumigo. What happened here, here and here, and why did that happen in response to this? So, these things are, again, it's that insurance thing, you don't need it until you need it, and when you need it, you're so glad you've got it. >> Right, exactly. >> Actually it's already said, I have a question because, yeah, I think that it's clear on that part. And how did this, if it change the developer work in Flex, do you feel different on that part? >> I think it's down to individual developers, how they use the different tools, just like individual developers use different tools. I tend to, and a couple of people that I work closely with tend to use these tools in this way, probably where the more advanced users of serverless in general inside the organization. So we were more aware of these weird little things that occur and justly double-checks you want to do. But I feel like when I don't have something like Lumigo in place, it's very hard for me to understand, did everything happen? I can write my acceptance tests, but I want to make sure that, testing is a really fun art, right? And it's picking my cabinets nice and easy, and you can run all these formulas to do things, it's just not right, and there's just too many, especially in distributed space, too many cases where things look odd, things look strange, you've got weird edge cases. We get new timeouts in Dynamo. We hit the 100,000 limit in fresh hall on Dynamo, right? In production, that was really interesting because it meant we needed to do some additional things. >> Lisa: Kevin, oh, go ahead. >> Go ahead, no, go ahead, Lisa. >> I was just going to ask you, I'd love to get your perspective. It sounds like, you look at other technologies, there's been some clear benefits and differentiators that you saw, which is why you chose Lumigo, but it also sounds like there were some things that surprised you. So in your opinion, what are some of the key differentiators of Lumigo versus its competitors? >> So I guess I've been a partner with Lumigo for like eight months now, right? Which is a long time in the history of Flex, right? 'Cause we're just out of two and a half years old. So, when I did the initial evaluation, I was looking for the things. I'm lazy, so I wanted something that I could just drop in and it would just work, right? And get the information I wanted to ask. I wanted something that was giving me information consistently. So I try to figure these things out and hit them with some load. I wanted it to have coverage of the assistance that we use. We use Dynamo a lot. We use Lambros a lot, and I want it not just cursory coverage, how it's just another one of the 20,000 things that they do, I wanted something that was dedicated to it. That gave me information that was useful for me. And really the specialist serverless providers were the obvious choice there. When you looked at the more general providers, the Datadogs and New Relics, I think if you're in an environment that has a lot of other different types of systems running on, then maybe the specificity that you'd lose is worthwhile, right? There's trade off you can make, but we're in a highly serverless environment, so one of the specificity. When I looked at the vendors, Lumigo was the one that worked best straight out of the box for me, it gave me the information I wanted. It gave me the experience I wanted, and to be frank, they've reached out really quickly and had a chat about what were my specific problems, what I was thinking. And all of those things add up, a proactive vendor, just doing the things you wanted to do, and what became and has become a lasting partnership, and I don't say partnership lightly 'cause we've worked with a number of other vendors, right? For different things. But Lumigo, I have turned to these guys, 'cause these guys know serverless, right? So I've turned to these guys when I've gone, "Look, I am not sure what the best approach here is." You have trusted me about it, this is vendor, right? >> Right, but it sounds like it's very synergistic, collaborative trusted relationship. And to your point, not using the term partner lightly, I think arises, probably couldn't have been a better testimonial for Lumigo, its capabilities, and what you guys are able to do. So I'll give you, Erez the last word, just give the audience a little bit of an overview of the AWS partnership. >> Sure, so AWS has been a very strategic partner for Lumigo, and that means that, I would say the most critical part is a product, is a technology. And we are design partners with the serverless team. And that means that we work with AWS to make sure that before new services are released, they get our feedback on whether we can integrate easily or not, and making sure that on the launch date, we are able to be a launch partner for a lot of their services. And this strong partnership with R&D team is what's allowing Lumigo to support new services out of the box like Kevin mentioned. >> Excellent, gentlemen, thank you so much for joining me today, talking about, not just about Lumigo, but getting this great perspective of it through the CTO lens with Kevin, we appreciate your insights, your time, and what a great testimonial. >> Thank you very much, thank you, Kevin. >> Thanks, Lisa, thanks Erez. >> You're most welcome. For Erez Berkner and Kevin O'Neill, I'm Lisa Martin, you're watching the AWS Startup Showcase for Q3. (gentle music)
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Kevin Miller, AWS | AWS Storage Day 2021
(bright music) >> Welcome to this next session of AWS Storage Day. I'm your host, Dave Vellante of theCUBE. And right now we're going to explore how to simplify and evolve your data lake backup disaster recovery and analytics in the cloud. And we're joined by Kevin Miller who's the general manager of Amazon S3. Kevin, welcome. >> Thanks Dave. Great to see you again. >> Good to see you too. So listen, S3 started as like a small ripple in the pond and over the last 15 years, I mean, it's fundamentally changed the storage market. We used to think about storage as, you know, a box of disc drives that either store data in blocks or file formats and then object storage at the time it was, kind of used in archival storage, it needed specialized application interfaces, S3 changed all that. Why do you think that happened? >> Well, I think first and foremost, it's really just, the customers appreciated the value of S3 and being fully managed where, you know, we manage capacity. Capacity is always available for our customers to bring new data into S3 and really therefore to remove a lot of the constraints around building their applications and deploying new workloads and testing new workloads where they know that if something works great, it can scale up by a 100x or a 1000x. And if it doesn't work, they can remove the data and move on to the next application or next experiment they want to try. And so, you know, really, it's exciting to me. Really exciting when I see businesses across essentially every industry, every geography, you know, innovate and really use data in new and really interesting ways within their business to really drive actual business results. So it's not just about building data, having data to build a report and have a human look at a report, but actually really drive the day-to-day operations of their business. So that can include things like personalization or doing deeper analytics in industrial and manufacturing. A customer like Georgia-Pacific for example, I think is one of the great examples where they use a big data lake and collect a lot of sensor data, IoT sensor data off of their paper manufacturing machines. So they can run them at just the right speed to avoid tearing the paper as it's going through, which really just keeps their machines running more and therefore, you know, just reduce their downtime and costs associated with it. So you know, it's just that transformation again, across many industries, almost every industry that I can think of. That's really what's been exciting to see and continue to see. I think we're still in the really early days of what we're going to see as far as that innovation goes. >> Yeah, I got to agree. I mean, it's been pretty remarkable. Maybe you could talk about the pace of innovation for S3. I mean, if anything, it seems to be accelerating. How Kevin, does AWS, how has it thought about innovation over the past decade plus and where do you see it headed? >> Yeah, that's a great question Dave, really innovation is at our core as part of our core DNA. S3 launched more than 15 years ago, almost 16 years old. We're going to get a learner's permit for it next year. But, you know, as it's grown to exabytes of storage and trillions of objects, we've seen almost every use case you can imagine. I'm sure there's a new one coming that we haven't seen yet, but we've learned a lot from those use cases. And every year we just think about what can we do next to further simplify. And so you've seen that as we've launched over the last few years, things like S3 Intelligent Tiering, which was really the clouds first storage class to automatically optimize and reduce customer's costs for storage, for data that they were storing for a long time. And based on, you know, variable access patterns. We launched S3 Access Points to provide a simpler way to have different applications operating on shared data sets. And we launched earlier this year S3 Object Lambda, which really is, I think, cool technology. We're just starting to see how it can be applied to simplify serverless application development. Really the next wave, I think, of application development that doesn't need, not only is the storage fully managed, but the compute is fully managed as well. Really just simplify that whole end to end application development. >> Okay, so we heard this morning in the keynote, some exciting news. What can you tell us, Kevin? >> Yeah, so this morning we launched S3 Multi-Region Access Points and these are access points that give you a single global endpoint to access data sets that can span multiple S3 buckets in different AWS regions around the world. And so this allows you to build these multi-region applications and multi-region architectures with, you know, with the same approach that you use in a single region and then run these applications anywhere around the world. >> Okay. So if I interpret this correctly, it's a good fit for organizations with clients or operations around the globe. So for instance, gaming, news outlets, think of content delivery types of customers. Should we think about this as multi-region storage and why is that so important in your view? >> Absolutely. Yeah, that is multi-region storage. And what we're hearing is seeing as customers grow and we have multinational customers who have operations all around the world. And so as they've grown and their data needs grow around the world, they need to be using multiple AWS regions to store and access that data. Sometimes it's for low latency so that it can be closer to their end users or their customers, other times it's for regions where they just have a particular need to have data in a particular geography. But this is really a simple way of having one endpoint in front of data, across multiple buckets. So for applications it's quite easy, they just have that one end point and then the data, the requests are automatically routed to the nearest region. >> Now earlier this year, S3 turned 15. What makes S3 different, Kevin in your view? >> Yeah, it turned 15. It'll be 16 soon, you know, S3 really, I think part of the difference is it just operates at really an unprecedented scale with, you know, more than a hundred trillion objects and regularly peaking to tens of millions of requests per second. But it's really about the resiliency and availability and durability that are our responsibility and we focus every single day on protecting those characteristics for customers so that they don't have to. So that they can focus on building the businesses and applications that they need to really run their business and not worry about the details of running highly available storage. And so I think that's really one of the key differences with S3. >> You know, I first heard the term data lake, it was early last decade. I think it was around 2011, 2012 and obviously the phrase has stuck. How are S3 and data lakes simpatico, and how have data lakes on S3 changed or evolved over the years? >> Yeah. You know, the idea of data lakes, obviously, as you say, came around nine or 10 years ago, but I actually still think it's really early days for data lakes. And just from the standpoint of, you know, originally nine or 10 years ago, when we talked about data lakes, we were looking at maybe tens of terabytes, hundreds of terabytes, or a low number of petabytes and for a lot of data lakes, we're still seeing that that's the kind of scale that currently they're operating at, but I'm also seeing a class of data lakes where you're talking about tens or hundreds of petabytes or even more, and really just being used to drive critical aspects of customer's businesses. And so I really think S3, it's been a great place to run data lakes and continues to be. We've added a lot of capability over the last several years, you know, specifically for that data lake use case. And we're going to continue to do that and grow the feature set for data lakes, you know, over the next many years as well. But really, it goes back to the fundamentals of S3 providing that 11 9s of durability, the resiliency of having three independent data centers within regions. So the customers can use that storage knowing their data is protected. And again, just focus on the applications on top of that data lake and also run multiple applications, right? The idea of a data lake is you're not limited to one access pattern or one set of applications. If you want to try out a new machine learning application or something, do some advanced analytics, that's all possible while running the in-flight operational tools that you also have against that data. So it allows for that experimentation and for transforming businesses through new ideas. >> Yeah. I mean, to your point, if you go back to the early days of cloud, we were talking about storing, you know, gigabytes, maybe tens of terabytes that was big. Today, we're talking about hundreds and hundreds of terabytes, petabytes. And so you've got huge amount of information customers that are of that size and that scale, they have to optimize costs. Really that's top of mind, how are you helping customers save on storage costs? >> Absolutely. Dave, I mean, cost optimization is one of the key things we look at every single year to help customers reduce their costs for storage. And so that led to things like the introduction of S3 Intelligent Tiering, 10 years ago. And that's really the only cloud storage class that just delivers the automatic storage cost savings, as data access patterns change. And, you know, we deliver this without performance impact or any kind of operational overhead. It's really intended to be, you know, intelligent where customers put the data in. And then we optimize the storage cost. Or for example, last year we launched S3 Storage Lens, which is really the first and only service in the cloud that provides organization-wide visibility into where customers are storing their data, what the request rates are and so forth against their storage. So when you talk about these data lakes of hundreds of petabytes or even smaller, these tools are just really invaluable to help customers reduce their storage costs year after year. And actually, Dave I'm pleased, you know, today we're also announcing the launch of some improvements to S3 Intelligent Tiering, to actually further automate the cost savings. And what we're doing is we're actually removing the minimum storage duration. Previously, Intelligent Tiering had a 30 day minimum storage duration, and we're also eliminating our monitoring and automation charge for small objects. So previously there was that monitoring and automation charge applied to all objects independent of size. And now any object less than 120 kilobytes is not charged at that charge. So, and I think some pretty critical innovations on Intelligent Tiering that will help customers use that for an even wider set of data lake and other applications. >> That's three, it's ubiquitous. The innovation continues. You can learn more by attending the Storage Day S3 deep dive right after this interview. Thank you, Kevin Miller. Great to have you on the program. >> Yeah, Dave, thanks for having me. Great to see you. >> You're welcome, this is Dave Vellante and you're watching theCUBE's coverage of AWS Storage Day. Keep it right there. (bright music)
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Kevin Martelli, KPMG | Red Hat Summit 2021 Virtual Experience
(upbeat music) >> Hello, and welcome back to theCUBE's coverage of Red Hat Summit '21 virtual conference. I'm John Furrier, host of theCUBE. We are here with Kevin Martelli, Principal Software Engineer at KPMG, joining the conversation. Kevin, great to see you. Thanks for coming on. >> John, thanks a lot for having me. >> So obviously Red Hat, a lot of action, cloud native, part of IBM now. A lot of talk going on around this growth around cloud. Massive new opportunities, new modern applications being shaped in, super exciting opportunities. So first, before we get into all that, tell us about your role at KPMG. >> Sure John, thanks. So my role at KPMG, I'm one of our cloud leaders at KPMG where I really help both from an internal perspective, so helping our internal enablement and digitalization, as well as, more importantly, helping to deliver solutions and applications to our clients as they go through these digital journeys. And really focusing on containerization and enabling it through the cloud. >> John: You guys have done a lot of AI work, I know which is cutting edge, it's pretty much data-driven. I mean, AI is, what everyone talks about, but underlying AI is automation, data, machine learning, really dealing with kind of new types of datasets, not just dealing with existing structures. You have a new platform called Ignite. Tell us what that is. What do you guys solve? What was the problem statement? And what's going on with it? >> Yeah, John, thanks a lot for asking. So Ignite, it's something that we developed internally initially, and it really helped to solve our AI initiatives. We called it our AI platform, but it's moreso an ecosystem. And it solves not only our own internal needs and internal use cases, but also choose to help support and deliver these solutions to the clients. One of the foundational principles of our platform is it's built on top of containerization, which we know is a hot area now, today in the marketplace really gives you the ability for scalability, flexibility, security, et cetera, but more important, what we're seeing large scale of adoptions in our clients, is using this platform to really get value out of both unstructured and structured data in a way that they're able to do this in a secured fashion and then easily get it deployed. It's a pretty scalable platform, and something that we've just recently received the patent for it. >> So what was the internal conversation to put this together? Was it the fact that there was business needs? Cloud native gave you that scale advantage? What was some of the drivers behind Ignite? 'Cause this is like, was it IoT? Was it, take us through the mindset. What were some of the first principles around building this? >> Hey John nice, it's a good question. And actually to be fair, this was probably a little bit before the time of IoT and some of these newer technologies were coming up. At this time, we were really kind of scratching on the surface of data science and advanced analytics. And what really generated the need for this is as you could imagine, working in a consultancy firm and many of our clients deal with tons of contracts and the lightboard documents for financial services, there was much rich information, these unstructured data documents and we had no way to get this information out. So really it was generated out of the need to get information out of a lot of these contractual documents that we had and pinpoint specific information. So really taking it holistically on ingestion on transformations, running NLP, algorithms, it really evolved into a whole end to end complete platform, running on top of a containerized ecosystem, such as OpenShift. >> John: Yeah, I think just not to go on a tangent here but I think one of the conversations we've been having on all these events and certainly with COVID was the highlight of all these silos. And you know the old days was about break down the silos. But now with containers and cloud scale, you can extract out data, kind of create that horizontal data plane if you will, or view observation space, some call it. This just seems to be a huge trend you guys were on it early. How has that, what's your take on that? The silos used to be kind of like an advantage if you had a monolithic application but now you have a lot of diverse distributed databases. What's your take? >> Kevin: Yeah, it's, it's good. And how we are kind of coining. It is really through the power of, some of the toying in OpenShift that really gives organizations the ability to defer risk. In the sense that allows you to run certain types of workloads on-prem in a private cloud containerized way. It allows you to burst certain other types of workloads into the different CSP provider. So you can get advantage of their scale, their capacity without maybe moving some sensitive data and then another benefit is with some of that vendor lock-in it sometimes clients are concerned about is being able to kind of easily deploy your workloads and applications from one cloud provider to another. And I think as we look at this distributed processing no one client will totally be in one cloud provider. So having the ability to move workloads quickly and fastly where they make sense, where the security and risk is aligned is something that would what makes a successful use cases deployments. >> John: Just let me ask you another question. You guys, KPMG obviously have your own big data effort going on with analytics. You've got clients that you serve and ultimately they have customers as well. So you have that Red Hat equation. What are some of the advantages that you guys see as your firm and your clients with Red Hat analytics, 'cause this becomes ultimately the number one conversation. Like, okay, what's in it for me? >> Yeah. That's a good point. I would say we're seeing a few things. Some of them are highlighted. One is, as you're well aware, we chose Red Hat's OpenShift as one of our strategic options to deploy our platform. And whenever you're deploying these platforms it's very important that you have the flexibility the agility, and the ability to scale and Red Hat underneath the hood really helps take care of a lot of that, for you in a way that not only can you do it on your own as mentioned earlier, your private cloud but also onto the public CSPs and multiple CSPs. In addition, some of the other things I think that we saw that were very beneficial, a lot of times as an application user. So application users of ignite, the developers, the data scientists, the business users, the analysts, they all need to interact with the platform. They want to worry about getting the insights about getting the efficiencies in the platform. They don't want to worry about how the infrastructure's being put together, how the workloads are being moved how the scalability is occurring, et cetera and Red Hat really takes a lot of that away from you having to worry about it. And one of the other things that's also important is, is we have a strategic relationship with Red Hat. And as we look to help to enhance and develop these capabilities and experiences as our clients are doing private cloud, hybrid cloud and multi-cloud, we're really going to be able to let them take the power of open source, into their own control and how they want to deploy it in themselves. >> Well, got you on the topic there. I got to ask you the question. What would you say to the people out there that haven't really kicked the tires on Red Hat in a while? What's the modern update? How would you describe the current situation at Red Hat for people who are going to re-look and or bring the Red Hat conversation up a notch? >> Yeah, it's a good question. I think we see this in any type of software in the industry today. There's so many choices and there's so many options out there. And how do you choose the right source for the right use case? For the right client, for the right company? And how we always like to talk with clients is that yes, there are a lot of choices in there and the orchestration for the standardization but when you're looking for something that's celebrated in the market that has the security built into it that many organizations are looking for that gives you the flexibility without having to do a lot of additional operational overhead of moving from on-prem into the cloud and the way that it can scale and kind of make the overall ecosystem operations and deployments easier, it's one of the benefits that we see have gone with a tool like Red Hat OpenShift. >> Well, Kevin, I really appreciate the comments there and on Red Hat, that's awesome. Red Hat Summit, honestly, a big event around Red Hat and future cloud and modern applications. So I got to ask you as a software engineering leader in the industry, you got to be pretty excited about artificial intelligence and machine learning as it relates to, what it can be doing for changing the software development paradigm. Obviously there's also the no code, low code, serverless. You've got cloud native, you've got containers you got all this new capability. So how does, how do you see those trends? What are the big trends around machine learning and AI as it relates to someone who's going to be building modern applications in the cloud. Because certainly there's a huge ups upside there. Some are saying that if you don't have AI that's going to be a table stakes and we'll lower the valuation of the software or the application. What's your take on all these big trends around AI? >> Yeah, I agree with that. We've actually done several studies. And what we're hearing industry leaders saying is it was quite a few things. One is, we at KPMG, COVID-19 whiplash. And really what that means is that the pace and acceleration of adoption in AI has been tremendous over the COVID 19 period of our pandemic period. And so much so that industry leaders are a little bit concerned about how fast this adoption is going. And is it going too fast? In addition, we recently published a study called Thriving In An AI world where we were able to identify that business leaders and insiders are really bullish on to your point of using AI and ML to make some poor, critical decisions. How can we make vaccines? What's the distribution process? Fraudulent analytics where financial services. However, what I will say is we're still seeing a lot, a lot of questions and challenges around AI. Its security, its ethics associated to it. How you keep managing governing your process then privacy associated to it. So there's a lot of points around those areas. I think that industries are still trying to struggle and figure out how to solve for. And one of the things that we are hearing is that what the new administration there's different think tanks and industry leaders that are feeling that the new administration, while open to a lot of these advanced techniques and technologies are going to put a little bit more rigor around and regulations around how AI can be used in the marketplace. So hopefully that would give some companies guidance around these security and privacy and ethics concerns. >> Yeah, it's interesting. I was talking to a friend the other day who's a leader at a big company that's a customer of Red Hat and a lot of other clouds as well. And we were joking about the agility speed, oh, agility and speed. Of course, yeah, you get that with here but you got a lot of fast and loose situations going here. You got to know when to put the pedal to the metal. When there's a straight narrow, we can really kind of gas it with AI and machine learning and then know where the potential curves are. See, will use that metaphor because you can go fast but with speed comes dangerous new things for breakage. Is always, and you're seeing that all the time. You're seeing that, with software because you can push new update, but still, when you talk about operational integrity and security fast and loose, isn't always the best way to go. But if you know there's a straight and narrow, you can really push it. This was what we were saying, he's like, "Hey, we know when to go straight and narrow and go fast. And then when to slow it down, pull it back." What's your take on that? What's your assessment? >> No, I agree. I think you hit some valid points there. And sometimes what we do is we take some antiquated processes and we overlay them into these newer technologies and we try to think them as being the same way and they may not always hold true. But it's not only kind of the fast and narrow and then putting things in that maybe a little bit more simplistic, but it's also there's a whole change around how you productionalized. How do you get these things into deployment? How do you monitor these over time? So some of those biases or some of those privacy concerns don't end up creeping up into the algorithm over time. I still think that will work here and from industries. There are still struggles around that. There's still struggles around. There's a lot of technologies that can do a lot of these same things. Our business processes don't always align. And then how do we really take something from an innovation from a POC into production? Is there a fast track for something that is straightened narrow and something that has a little bit more complexity? But what we're seeing today, there's a lot sort of spout at the same road, which makes bringing more complex AI algorithms into production. Challenging. >> Yeah. And there's always that big trend of day two operations. Which is, hey, you deploy it's great. And then, okay, wait a minute stop, set in a break. We need better monitoring. We need better data analytics. What's instrumented. What's not. What services are being generated and terminated. These are all big cloud native kind of themes. With that, I got to ask you from a customer standpoint, these are new first-generation problems at scale that with this new cloud native environment, the pros and cons. How do you guys talk to customers? What are some of the things you're seeing around the challenges that they face with analytics? All these analytic activity? >> Kevin: Yeah. So I think one of the challenges and we've probably heard this year in year out is around data literacy. Like really having our folks understand the data and empowering them to be successful in the organization. And to be fair I would say data literacy was a little bit more narrowly focused in an organizations who needed it. I need some analysts to use it. I needed some data scientists and engineers, but what we're starting to see now is there's larger programs across the board where it's more holistic at an organizational level. Everyone should be involved in data. Everyone should be able to do their own reporting. So really data literacy and getting data kind of into the arms of the folks is important. Some of the other ones that we've also kind of talked to about it, and they kind of go hand in hand and maybe a little bit on our prior conversation was the technologies. Technology especially in open source is exploding. And as well as commercial. So how do you choose the right technologies the right tools? You don't have too many tools in your toolbox per se but use the ones that are really differentiating and try to standardize on the ones that are more standard. Finally it's bringing those processes and that wrapping them back into the technologies. Again, a little point we hit on earlier but what we're finding is as technology is rapidly increasing, you're able to use it for your analytics. Your processes are still antiquated and legacy processes which makes it a little bit harder for you to really take advantage of what you're trying to achieve in your organization from a digital transformation. And then one final one I would add in there is around the risk that organizations have. So there's a lot of concern about reputational risk. If they're doing these types of activities that people don't understand, the data they don't understand the algorithms. Are there some impacts that can be heard? And they're figuring out how to control that and then how not to. And then I think finally the workforce is, as we know, it's getting the workforce up to speed, retooling where need be and putting their people in the right place to be successful. >> Kevin that's great insight. Thanks so much for coming on theCUBE. I got to ask you one final question. >> Go ahead. One more thing, you mentioned COVID whiplash means a lot of post COVID activity discussions going on. If you look at what's happened with COVID there's been an exposure of all the projects that need to be doubled down on, ones that may not be continuing. People working at home. Honestly, a change of the environment, you mentioned workforce is among others. What do you think the biggest conversation around your customer base or within KPMG right now around some of these growth strategies around post COVID? What are companies thinking around how to deploy the people, process and technology is a big part of this conversation. What is the post COVID general theme that you're seeing among large enterprises and businesses in general? >> I mean, that's a good question. So I think in general, we're seeing the acceleration of digital agendas that may have been pushed out for five years school moving closer. But one of the most interesting things I think that I've gathered out of working with the clients that we're working with is that before to get stuff into production, AI solutions even in any type of smaller production system that was taking months months, several months to get something in production. And it seemed to be once the COVID pandemic hit, organizations can accelerate that journey of the deployment of applications into production in very, very quick timeframes without hindering or impacting any types of control frameworks they have in place, but just working quicker. So I think some of the things I see as we move forward is that these digital channels are going to be push forward more quicker. The data list on POC is good our pilot's good, is long past. It's now they want to see the results in the outputs in the enterprise, in production. And I think they realize that they have the tools to do this in a period of time that is weeks versus months, and in some cases, years. >> So, would you agree then, just as a quick followup to that that obviously when we get back to real life, post COVID that the visibility and the economics and the productivity gains from this new environment is going to stay around longer and probably be permanent. What's your, do you agree with that statement? >> I hope it is. but we are creatures of habit. And sometimes you go back to back to the way that we had done things, but I'm hopeful that they were able to see to be successful in these types of environments and make these types of decisions that those processes that are evolving to take into consideration what we learned. One is terrible pandemic, and be able to apply that to the post pandemic. >> Yeah. Who would have known the word hybrid cloud actually means something more than just cloud technologies? Hybrid events, hybrid workforces, the word hybrid has been kicked around. Kevin, thanks so much for coming on theCUBE for Red Hat Summit coverage. Thanks for coming on. Great insight. >> Thank you, have a great day. >> Thanks. I'm John Farrow with theCUBE here for Red Hat Summit coverage, 2021 virtual. Thanks for watching. (upbeat music)
SUMMARY :
joining the conversation. So obviously Red Hat, a lot of action, and enabling it through the cloud. What do you guys solve? and it really helped to Was it the fact that and the lightboard documents about break down the silos. So having the ability to move What are some of the advantages the agility, and the ability to scale and or bring the Red Hat and kind of make the So I got to ask you as a And one of the things that we are hearing put the pedal to the metal. of the fast and narrow What are some of the and empowering them to be I got to ask you one final question. Honestly, a change of the environment, of the deployment of and the economics and be able to apply that known the word hybrid cloud I'm John Farrow with theCUBE here
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Kiernan Taylor, Kevin Surace and Issac Sacolick | BizOps Chaos to Clarity 2021
(upbeat music) >> Welcome to this BizOps Manifesto Power Panel, Data Lake or Data Landfill. We're going to be talking about that today. I've got three guests joining me. We're going to dive through that. Kieran Taylor is here the CMO of Broadcom's Enterprise Software Division. Kieran, great to have you on the program. >> Thank you, Lisa. >> Kevin Surace is here as well. Chairman and CTO of Appvance, hey Kevin. >> Hey Lisa. >> And Isaac Sacolick Author and CEO of StarCIO. Isaac, welcome. >> Hi Lisa, thanks for having me. >> So we're going to spend the next 25 to 30 minutes talking about the challenges and the opportunities that data brings to organizations. You guys are going to share some of your best practices for how organizations can actually sort through all this data to make data-driven decisions. We're also going to be citing some statistics from the Inaugural BizOps Industry Survey of the State of Digital Business in which 519 business and technology folks were surveyed across five nations. Let's go ahead and jump right in and the first one in that server that I just mentioned 97% of organizations say we've got data related challenges, limiting the amount of information that we actually have available to the business. Big conundrum there. How do organizations get out of that conundrum? Kieran, we're going to start with you. >> Thanks Lisa. You know, I think, I don't know if it's so much limiting information as it is limiting answers. There's no real shortage of data I don't think being captured, recently met with a unnamed auto manufacturer Who's collecting petabytes of data from their connected cars and they're doing that because they don't really yet know what questions they have of the data. So I think you get out of this Data Landfill conundrum by first understanding what questions to ask. It's not algorithms, it's not analytics. It's not, you know, math that's going to solve this problem. It's really, really understanding your customer's issues and what questions to ask of the data >> Understanding what questions to ask of the data. Kevin, what are your thoughts? >> Yeah, look, I think it gets down to what questions you want to ask and what you want out of it, right? So there's questions you want to ask but what are the business outcomes you're looking for, which is the core of BizOps anyway, right? What are the business outcomes and what business outcomes can I act upon? So there are so many business outcomes you can get from data and you go, well, I can't legally act upon that. I can't practically act upon that. I can't, whether it's lay off people or hire people or whatever it is, right? So what are the actionable items? There is plenty of data. We would argue too much data. Now we could say, is the data good? Is the data bad? Is it poorly organized? Is it, noisy? There's all other problems, right? There's plenty of data. What do I do with it? What can I do that's actionable? If I was an automaker and I had lots of sensors on the road, I had petabytes, as Kieran says and I'd probably bringing in petabytes potentially every day. Well, I could make myself driving systems better. That's an obvious place to start or that's what I would do but I could also potentially use that to change people's insurance and say, if you drive in a certain way something we've never been able to do. If you drive in a certain way, based on the sensors you get a lower insurance rate, then nobody's done that. But now there's interesting business opportunities for that data that you didn't have one minute ago and I just gave away. So, (laughs) it's all about the actionable items in the data. How do you drive something to the top line and the bottom line? 'Cause in the end, that's how we're all measured. >> And Isaac, I know you say data is the lifeblood. What are your thoughts on this conundrum? >> Well, I think, you know, they gave you the start and the end of the equation, start with a question. What are you really trying to answer? What you don't understand that you want to learn about your business connect it to an outcome that is valuable to you. And really what most organizations struggle with is a process that goes through discovery, learning what's in the data, addressing data, quality issues, loading new data sources if required and really doing that iteratively and we're all agile people here at BizOps, right? So doing it iteratively, getting some answers out and understanding what the issues are with the underlying data and then going back and revisiting and reprioritizing what you want to do next. Do you want to go look at another question? Is the answer heading down a path that you can drive outcomes? Do you got to go cleanse some data? So it's really that, how do you put it together so that you can peel the onion back and start looking at data and getting insights out of it. >> Great advice, another challenge though, that the survey identified was that nearly 70% of the respondents and again, 519 business and technology professionals from five countries said, we are struggling to create business metrics from our data with so much data, so much that we can't access. Can you guys share best practices for how organizations would sort through and identify the best data sources from which they can identify the ideal business metrics? Kieran, take it away. >> Sure thing, I guess I'll build on Isaac's statements. Every company has some gap in data, right? And so when you do that, that data gap analysis I think you really, I don't know. It's like Alice in Wonderland, begin at the beginning, right? You start with that question like Isaac said, And I think the best questions are really born from an understanding of what your customers value. And if you dig into that, you understand what the customers value, you build it off of actual customer feedback, market research then you know what questions to ask and then from that, hey, what inputs do I need to really understand how to solve that particular business issue or problem. >> Kevin, what are your thoughts? >> Yeah, I'm going to add to that, completely agree but, look, let's start with sales data, right? So sales data is something, everybody watching this understands, even if they're not in sales, they go well, okay, I understand sales data. What's interesting there is we know who our customers are. We could probably figure out if we have enough data, why they buy, are they buying because of a certain sales person? Are they buying because it's a certain region? Are they buying because of some demographic that we don't understand, but AI can pull out, right? So I would like to know, who's buying and why they're buying. Because if I know that I might make more of what more of those people want whatever that is, certain fundamental sales changes or product changes or whatever it is. So if you could certainly start there, if you start nowhere else, say I sell X today. I'd like to sell X times 1.2 by next year. Okay, great. Can I learn from the last five years of sales, millions of units or million or whatever it is, how to do that better and the answer is for sure yes and yes there's problems with the data and there's holes in the data as Kieran said and there's missing data. It doesn't matter, there's a lot of data around sales. So you can just start there and probably drive some top line growth, just doing what you're already doing but doing it better and learning how to do it better. >> Learning how to do it better. Isaac, talk to us about what your thoughts are here with respect to this challenge. >> Well, when you look at that percentage 70% struggling with business metrics, you know what I see is some companies struggling when they have too few metrics and you know, their KPIs, it really doesn't translate well to people doing work for a customer for an application, responding to an issue. So when you have too few in there too disconnected from the work, people don't understand how to use them and then on the flip side I see other organizations trying to create metrics around every single part of the operation, you know, dozens of different ways of measuring user experience and so forth. And that doesn't work because now we don't know what to prioritize. So I think the art of this is management coming back and saying, what are the metrics? Do we want to see impact and changes over in a short amount of time, over the next quarter, over the next six months and to pick a couple in each category, certainly starting with the customer, certainly looking at sales but then also looking at operations and looking at quality and looking at risk and say to the organization, these are the two or three we're going to focus on in the next six months and then I think that's what simplifies it for organizations. >> Thanks, Isaac. So something that I found interesting, it's not surprising in that the survey found that too much data is one of the biggest challenges that organizations have followed by the limitations that we just talked about in terms of identifying what are the ideal business metrics, but a whopping 74% of survey respondents said we failed to have key data available in real time, which is a big inhibitor for data-driven decision-making. Can you guys offer some advice to organizations? How can they harness this data and glean insights from it faster, Kieran, take it away. >> Yeah, I think there are probably five steps to establishing business KPIs and Lisa your first two questions and these gentleman's answers laid out the first two that is define the questions that you want answers for and then identify what those data inputs would be. You know, if you've got a formula in mind, what data inputs do do you need? The remaining three steps. One is, you know, to evaluate the data you've got and then identify what's missing, you know what do you need to then fetch? And then that fetching, you need to think about the measurement method, the frequency I think Isaac mentioned, you know this concept of tools for all. We have too many tools to collect data. So, the measurement method and frequency is important standardizing on tools and automating that collection wherever possible. And then the last step, this is really the people component of the formula. You need to identify stakeholders that will own those business KPIs and even communicate them within the organization. That human element is sometimes forgotten and it's really important. >> It is important, it's one of the challenges as well. Kevin, talk to us about your thoughts here. >> Yeah, again I mean, for sure you've got in the end you've got the human element. You can give people all kinds of KPIs as Isaac said, often it's too many. You have now KPI the business to death and nobody can get out and do anything that doesn't work. Obviously you can't improve things until you measure them. So you have to measure, we get that. But this question of live data is interesting. My personal view is only certain kinds of data are interesting, absolutely live in the moment. So I think people get in their mind, oh, well if I could deploy IOT everywhere and get instantaneous access within one second to the amalgam of that data, I'm making up words too. That would be interesting. Are you sure that'd be interesting? I might rather analyze the last week of real, real data, really deep analysis, right? Build you know, a real model around that and say, okay for the next week, you ought to do the following. Now I get that if you're in the high-frequency stock trading business you know, every millisecond counts, okay? But most of our businesses do not run by the millisecond and we're not going to make a business decision especially humans involved in a millisecond anyway. We make business decisions based on a fair bit of data, days and weeks. So this is just my own personal opinion. I think people get hung up on this. I've got to have all this live data. No, you want great data analysis using AI and machine learning to evaluate as much data as you can get over whatever period of time that is a week, a month a year and start making some rational decisions off of that information. I think that is how you run a business that's going to crush your competition. >> Good advice, Isaac what are your thoughts on these comments? >> Yeah, I'm going to pair off of Kevin's comments. You know, how do you chip away at this problem at getting more real time data? And I'll share two insights first, from the top down, you know, when StarCIO works with a group of CEO and their executive group, you know how are they getting their data? Well, they're getting it in a boardroom with PowerPoints with spreadsheets behind those PowerPoints, with analysts doing a lot of number crunching and behind all that are all the systems of record around the CRM and the ERP and all the other systems that are telling them how they're performing. And I suggest to them for a month, leave the world of PowerPoint and Excel and bring your analysts in to show you the data live in the systems, ask questions and see what it's like to work with real time data. That first changes the perspective in terms of all the manual work that goes into homogenizing that data for them. But then they start getting used to looking at the tools where the data is actually living. So that's an exercise from the top down from the bottom up when we talk to the it groups, you know so much of our data technologies were built at a time when batch processing in our data centers was the only way to go. We ran these things overnight to move data from point a to point B and with the Cloud, with data streaming technologies it's really a new game in town. And so it's really time for many organizations to modernize and thinking about how they're streaming data. Doesn't necessarily have to be real time. It's not really IOT but it's really saying, I need to have my data updated on a regular basis with an SLA against it so that my teams and my businesses can make good decisions around things. >> So let's talk now about digital transformation. We've been talking about that for years. We talked a lot about in 2020, the acceleration of digital transformation for obvious reasons. But when organizations are facing this data conundrum that we talked about, this sort of data disconnect too much can't get what we need right away. Do we need it right away? How did they flip the script on that so that it doesn't become an impediment to digital transformation but it becomes an accelerant. Kieran >> You know, a lot of times you'll hear vendors talk about technology as being the answer, right? So MI, ML, my math is better than your math, et cetera. And technology is important but it's only effective to the point that which people can actually interpret understand and use the data. And so I would put forth this notion of having data at all levels throughout an organization too often. What you'll see is that I think Isaac mentioned it, you know the data is delivered to the C-suite via PowerPoint and it's been sanitized and scrubbed, et cetera. But heck, by the time it gets to the C-suite it's three weeks old. Data at all levels is making sure that throughout organization, the right people have real-time access to data and can make actionable decisions based upon that. So I think that's a real vital ingredient to successful digital transformation. >> Kevin. >> Well, I like to think of digital transformation as looking at all of your relatively manual or paper-based or other processes whatever they are throughout the organization and saying is this something that can now be done for lack of a better word by a machine, right? And that machine could be algorithms. It could be computers, it could be humans it could be Cloud, it could be AI it could be IOT doesn't really matter. (clears throat) And so there's a reason to do that and of course, the basis of that is the data. You've got to collect data to say, this is how we've been performing. This is what we've been doing. So an example, a simple example of digitalization is people doing RPA around customer support. Now you collect a lot of data on how customer support has been supporting customers. You break that into tiers and you say, here's the easiest, lowest tier. I had farmed that out to probably some other country 20 years ago or 10 years ago. Can I even with the systems in place, can I automate that with a set of processes, Robotic Process Automation that digitizes that process now, Now there still might be, you know 20 different screens that click on all different kinds of things, whatever it is, but can I do that? Can I do it with some Chatbots? Can I do it with it? No, I'm not going to do all the customer support that way but I could probably do a fair bit. Can I digitize that process? Can I digitize the process? Great example we all know is insurance companies taking claims. Okay, I have a phone. Can, I take a picture of my car that just got smashed send it in, let AI analyze it and frankly, do an ACH transfer within the hour, because if it costs them insurance company on average 300 to $500 depending on who they are to process a claim, it's cheaper to just send me the $500 then even question it. And if I did it two or three times, well then I'm trying to steal their money and I should go to jail, right? So these are just, I'm giving these as examples 'cause they're examples that everyone who is watching this would go, oh I understand you're digitizing a process. So now when we get to much more complex processes that we're digitizing in data or hiring or whatever, those are a little harder to understand but I just tried to give those as like everyone understands yes, you should digitize those. Those are obvious, right? >> Now those are great examples, you're right. They're relatable across the board here. Isaac, talk to me about what your thoughts are about. Okay, let's do the conundrum. How do we flip the script and leverage data, access to it insights to drive and facilitate digital transformation rather than impede it. >> Well remember, you know, digital transformation is really about changing the business model, changing how you're working with customers and what markets you're going after. You're being forced to do that because of the pace digital technologies are enabling competitors to outpace you. And so we really like starting digital transformations with a vision. What does this business need to do better, differently more of what markets are we going to go after? What types of technologies are important? And we're going to create that vision but we know long-term planning, doesn't work. We know multi-year planning, doesn't work. So we're going to send our teams out on an agile journey over the next sprint, over the next quarter and we're going to use data to give us information about whether we're heading in the right direction. Should we do more of something? Is this feature higher priority? Is there a certain customer segment that we need to pay attention to more? Is there a set of defects happening in our technology that we have to address? Is there a new competitor stealing market share all that kind of data is what the organization needs to be looking at on a very regular basis to say, do we need to pivot, what we're doing? Do we need to accelerate something? Are we heading in the right direction? Should we give ourselves high fives and celebrate a quick win? Because we've accomplished something 'cause so much of transformation is what we're doing today. We're going to change what we're doing over the next three years, and then guess what? There's going to be a new set of technologies. There's going to be another disruption that we can't anticipate and we want our teams sitting on their toes waiting to look at data and saying, what should we do next? >> That's a great segue Isaac into our last question, which is around culture that's always one of those elephants in the room, right? Because so much cultural transformation is necessary but it's incredibly difficult. So question for you guys, Kieran we'll start with you is, should you advise leadership, should really create a culture, a company-wide culture around data? What do you think? >> Absolutely. I mean, this reminds me of DevOps in many ways and you know, the data has to be shared at all levels and has to empower people to make decisions at their respective levels so that we're not, you know kind of siloed in our knowledge or our decision-making, it's through that collective intelligence that I think organizations can move forward more quickly but they do have to change the culture and they've got to have everyone in the room. Everyone's got a stake in driving business success from the C-suite down to the individual contributor >> Right, Kevin, your thoughts >> You know what? Kieran's right. Data silos, one of the biggest brick walls in all of our way, all the time, you know SecOps says there is no way I'm going to share that database because it's got PII. Okay, well, how about if we strip the PII? Well, then that won't be good for something else and you're getting these huge arguments and if you're not driving it from the top, certainly the CIO, maybe the CFO, maybe the CEO I would argue the CEO, drives it from the top. 'Cause the CEO drives company culture and you know, we talk BizOps and the first word of that is Biz. It's the business, right? It's Ops being driven by business goals and the CEO has to set the business goals. It's not really up to the CIO to set business goals. They're setting operational goals, it's up to the CEO. So when the CEO comes out and says our business goals are to drive up sales by this drive down cost by this drive up speed of product development, whatever it is and we're going to digitize all of our processes to do that. We're going to set in KPIs. We're going to measure everything that we do and everybody's going to work around this table. By the way just like we did with DevOps a decade ago, right? And said, Dev, you actually have to work with Ops now and they go, those dangerous guys way over in that other building, we don't even know who they are but in time people realize that we're all on the same team and that if developers develop something that operations can't host and support and keep alive, it's junk right? And we used to do that and now we're much better at it. And whether it's Dev, SecOps or Dev two-way Ops, whatever all those teams working together. Now we're going to spread that out and make it a bigger pyre on the company and it starts with the CEO. And when the CEO makes it a directive for the company I think we're all going to be successful. >> Isaac, what are your thoughts? >> I think we're really talking about a culture of transformation and a culture of collaboration. I mean, again, everything that we're doing now we're going to build, we're going to learn. We're going to use data to pivot what we're doing. We're going to release a product to customers. We're going to get feedback. We're going to continue to iterate over those things. Same thing when it comes to sales, same things that you know, the experiments that we do for marketing, what we're doing today, we're constantly learning. We're constantly challenging our assumptions. We're trying to throw out the sacred cows with status quo, 'cause we know there's going to be another Island that we have to go after and that's the transformation part. The collaboration part is really you know, what you're hearing. Multiple teams, not just Dev and Ops and not just data and Dev, but really the spectrum of business of product, of stakeholders, of marketing and sales, working with technologists and saying, look this is the things that we need to go after over these time periods and work collaboratively and iteratively around them. And again, the data is the foundation for this, right? And we talk about a learning culture as part of that, the data is a big part of that learning, learning new skills and what new skills to learn is as part of that. But when I think about culture, you know the things that slow down organizations is when they're not transforming fast enough, or they're going in five or six different directions, they're not collaborative enough and the data is the element in there that is an equalizer. It's what you show everybody to say, look what we're doing today is not going to make us survive over the next three years. >> The data equalizer, that sounds like it could be movie coming out in 2021. (laughing) Gentlemen, thank you for walking us through some of those interesting metrics coming out of the BizOps Inaugural Survey. Yes, there are challenges with data. Many of them aren't surprising but there's also a lot of tremendous opportunity and I liked how you kind of brought it around to from a cultural perspective. It's got to start from that C-suite to Kieran's point all the way down. I know we could keep talking, we're out of time, but we'll have to keep following, this as a very interesting topic. One that is certainly pervasive across industries. Thanks guys for sharing your insights. >> Than you. >> Thank you, Lisa. >> Thank you, Lisa. >> For Kieran Taylor, Kevin Surace and Isaac Sacolick. I'm Lisa Martin. Thanks for watching. (upbeat music)
SUMMARY :
Kieran, great to have you on the program. Chairman and CTO of Appvance, hey Kevin. Author and CEO of StarCIO. and the first one in that So I think you get out of questions to ask of the data. and what you want out of it, right? And Isaac, I know you and the end of the equation, and identify the best data sources And so when you do that, but doing it better and learning how to do it better. Learning how to do it better. the operation, you know, dozens in that the survey found and then identify what's missing, you know of the challenges as well. You have now KPI the business to death and behind all that are all the systems to digital transformation it gets to the C-suite and of course, the basis Isaac, talk to me about what We're going to change what we're doing elephants in the room, right? from the C-suite down to and the CEO has to set the business goals. and Dev, but really the and I liked how you kind Surace and Isaac Sacolick.
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Kevin Heald & Steven Adelman, Novetta | AWS re:Invent 2020 Public Sector Day
>>from around the globe. It's the Cube with digital coverage of AWS reinvent 2020. Special coverage sponsored by AWS Worldwide Public sector. >>Welcome to the Cube. Virtual. This is our coverage of aws reinvent 2020. Specialized programming for worldwide public sector. I'm Lisa Martin. Got a couple of guests here from No. Veta, please welcome Steven Adelman, principal computer scientists, and Kevin Healed, vice president of Information Exploitation. Gentlemen, welcome to the Cube. >>Thank you. >>Thank you for having us. >>Alright, guys. So? So, Kevin, we're going to start with you. Give our audience an introduction to Nevada. What do you What do you guys do? Who are you? How do you play in the public sector Government space, >>right? Yeah. Thank you, Lisa. Eso, Nevada Nevada is a technology services company focused on government solutions. So primarily national security solutions. Eso think customers such as Doody, the intelligence community, FBI, law enforcement and things like that about 13 1300 employees worldwide, primarily in our in our field. Clear resource is, um, that really focused on cloud for solutions for our customers. So solving the tough mission challenges our customers have, so that could be in technology solutions such as Data Analytics A I M L i O T. Secure Workloads, full spectrum cyber Cobb video processing. Really anything that's a high end technology solution or something we do for the government. We have been a privilege. We have. It's a privilege to be a partner with AWS for for some time now. In fact, I think the first reinvent we may have been to Stephen was six years ago. Five years ago, two >>1012 or 13 >>s So we've we've we've been around for a while, really kind of enjoying it and certainly sad that we're missing an in person reinvent this year, but looking forward to doing it virtually so, we're actually advanced your partner with AWS with a machine learning and government competency. Andi really kind of thio pump the m l side of that. That was one of our first companies with compasses with AWS and led by a center of excellence that I have in my division that really focuses on machine learning and how we applied for the Michigan. And so, um, really, we focus on protecting the nation and protecting our activities in the country >>and on behalf of the country. We thank you, Steven. Give me a little bit of information from a double click perspective as computer scientists. What are some of the key challenges that no, that helps its customers to solve. And how do you do that with a W s? >>Yeah, Thank you. So really as, ah, company, that is is data first. So our initial love and and still are kind of strongest competency is in applying solutions to large data sets. And as you can imagine, uh, the bigger the data set them or compute you need the the more resource is you need and the flexibility from those resource is is truly important, which led us very early, as especially in the government space and public sector space to be in early. A doctor of cloud resource is because of the fact that, you know, rather than standing up a 200 node cluster at at many millions of dollars, we could we could spend up a W s resource is process a big data set, and then and then get the answers an analyst or on operator needed and then spin down. Those resource is when When when that kind of compute wasn't needed. And that is really, uh, kind of informed how we do our work Azaz Nevadans that that cloud infrastructure and now pushing into the edge compute space. Still kind of keeping those cloud best practices in play to get access to more data. That the two, the two biggest, I think revolutions that we've seen with regards to using data to inform business processes and missions has been that that cloud resource that allows us to do so much with so less and so much more flexibly and then the idea of cheap compute making it to the edge and the ability to apply sensors thio places where you know it would been a would have been, you know, operational cost prohibitive to do that and then, ironically, those air to things that aren't necessarily data analytics or machine learning focused but man, did they make it easier to collect that data and process that data and then get the answers back out. So that really has has has kind of, uh, shaped a lot of the way Nevada has grown as a company and how we serve our customers. >>So coming back over to you lets. One of the things that we've been talking about almost all year is just the acceleration in digital transformation and how much faster organizations, private sector, public sector need to innovate to stay relevant, to stay competitive. How do you are you working with government customers to help them innovate so quickly? >>You know, we're very fortunate that a set of customers that focuses actually innovation it's focuses. I rad on. Do you know we can't do the cool things we do without those customer relationships that really encourage us to, um, to try new things out and, quite frankly, fail quickly when we need Thio. And so, by establishing that relationship, what we've been able to do is to blend agile development. Actual acquisition with government requirements process, right? If if you know the typical stereotype of government work is it's this very stovepiped hard core acquisition process, right? And so we have been fortunate to instead try quick win kind of projects. And so one of the biggest things we do is partner with our government customers and try to find it difficult, um, challenged to solve over 6 to 12 month time, right? So instead of making this long four or five year acquisition cycles like show me, right. How can we solve this problem? And then we partner with the mission partner show success in six months show that we can do it with a smaller part of money, and then as we're able to actually make that happen, it expands in something bigger, broader, and then we kind of bringing together a coalition of the willing, if you will in the government and saying, Okay, are there other stakeholders to care about this problem, bring them on, bring their problems and bringing together? You know, we can't do that with some of the passionate people we have, like Stevens. A perfect example. When we talk about a car in the projects we're doing here, Stevens passion for this technology partner with our customers having these challenges and try to enhance what they're doing is a powerful combination. And then the last thing that we're able to is a company is we actually spend a decent amount of our own dollar dollars on I rad S O. R and D that we fund ourselves. And so, while finding those problems and spending government dollars in doing that. We also have spent our own dollars on machine learning Coyote sensor next Gen five g and things like that and how those compartment together partner together to go back to the government. >>Yeah, yeah, So I would even say, You know, there's this. There's a conventional wisdom that government is slow in plotting and a little bit behind commercial best practices. But there are There are pockets in growing pockets across the government, Um, where they're really they're really jumping ahead of, ah, lot of processes and getting in front of this curve and actually are quite innovative. And and because they kind of started off from behind, they could jump over a lot of kind of middle ground legacy technologies. And they're really innovating. As Kevin said with With With the card platform, we're partnering with um P E O Digital in the Air Force in South C, D. M and Air Force security forces as that kind of trifecta of stakeholders who all want toe kind of saw a mission problem and wanted to move forward quickly and leave the legacy behind and and really take a quantum leap forward. And if anything, they're they're driving us Thio, Innovate Mawr Thio Introduce more of those kind of modern back practices on bond. Nevada as a company loves to find those spots in the government sector where we've got those great partners who love what we're doing. And it's this great feedback loop where, um, where we can solve hard technical problems but then see them deployed to some really important and really cool and impactful missions. And we tend to recruit that that set that kind of nexus of people who want to both solve a really difficult problem but want to see it executed in a really impactful way as well. I mean, that really grates a great bond for us, and and I'm really excited to say that that a lot of the government it is really taking a move forward in this this this realm. And I think it's it's just good for our country and good for the missions that they support. >>Absolutely. And it's also surprising because, as you both said, you know, there is this expectation that government processes or lengthy, you know, laborious, um, not able to be turned around quickly. But as Kevin, you just said, you know helping customers. Government agencies get impact within 6 to 12 months versus 4 to 5 years. So you talked about Picard? Interesting name. Kevin. Tell me a little bit more about that technology and what it is that you guys deliver. That's unique. >>Well, honestly, it's probably best to start with Stephen. I can give you the high level. This is Stevens vision. I have to give him credit for that. And I will say way have lots of fun. Acronym. So it isn't Actually, it isn't backward. Um, right. Stephen doesn't actually stand for something. >>It stands for Platform for Integrated, a C three and Responsive for defense on >>Guy. You know >>that the Star Trek theme is the leg up from the last set of programs I had, >>which were >>my little ponies. So >>Oh, wow. That's a definite stuff in a different direction. Like >>it? Part of the great thing about working in the government is you get to name things, cool things, so but t get to your question eso So Picard really sprung out of this idea that I had a few years ago that the world but for our spaces, the Department of defense and the federal government was going to see a massive influx of the desire to consume sensors from from areas of responsibility, from installations and, frankly, from battlefields. Um, but they were gonna have to do it. In a way, um, uh, that presented some real challenges that you couldn't just kind of throw compute editor, throw traditional I t processes at it. You know, we have legacy sensors that are 40 years old sitting on installations. You know, old program, a logical controllers or facilities control systems that were written in cobalt in the seventies, right in the world are not even I, p based, most of them bond. Then on the other end of the spectrum, you have seven figure sensors that air, you know, throwing out megabits of second of data that are mounted to the back of jeeps. Right, That that air bouncing through the desert today. But we'll be bouncing through the jungle tomorrow, and you have to find all of those kind of in combined all of those together, um, and kind of create a cohesive data center for data set set for you know, the mission for, um, you know what we call a user to find common operating picture for a person. Thio kind of combine all of those different resource is and make it work for them. And so we found a great partner with security forces. Um, they realized that they wanted Thio to make a quantum leap forward. They had this idea that the next defender So there are there, like a military police outfit that the next defender was going to be a data driven defender and they were gonna have to win the information war war as much as they had to kind of dominate physical space. And they immediately got what we were trying to achieve, and it was just just great synergy. And then we've piled on some other elements, and we're really moving that platform forward to to kind of take every little bit of information we can get from the areas of responsibility and get it into a you know, your modern Data Lake, where they can extract information from all that data. >>Kevin, as the VP of information exploitation, that's a very interesting title. How are you helping government organizations to win the war on information? Leverage that information to make a big impact fast. >>Yeah. I mean, I think a lot of it is is that we try to break down the barriers between systems on data so that we can actually enable that data to fuse together to find and get insights into it. You know, as ML and I have become trendy topics, you know, they're very data hungry operations. And I think what Steven has done with the card and his team is really we want to be able to make those sensors seamless from a plug and play perspective that Aiken plug in a new sensor. It's a standards based, uh, interface that sends that data back so that we can and take it back to the user to find Operation Picture and make some decisions based off of that data. Um, you know, what's more is that data could even refused with more than the data that Stevens collecting off the sensors. It could be commercial data, other government data and I think is Davis. As Stephen said earlier, you have to get it back. And as long as you've gotten back in Labour's share with some of our mission partners, then you can do amazing things with it. And, you know, Stephen, I know you have some pretty cool ideas and what we're gonna do on the edge, right? How do we do some of this work of the edge where a sensor doesn't allow us to pull out that data back? >>Yeah, and and Thio follow on to what you were kind of referring to with regards to thio handling heterogeneous data from different sensors. Um, one of the main things that our government customers and we have seen is that there are a lot of historically there are a lot of vertical solutions where you know, the sensor, the platform, and then the data Laker kind of all part of this proprietary stack. And we quickly realized that that just doesn't work. And so one of the major thrust of that card platform was to make sure that we had ah, platform by which we could consume data through adapters from essentially any sensor speaking. Any protocol with any style data object, Whether that was an industry standard or a proprietary protocol, we could quickly interested and bring it into our Data lake. And then to pile on to what Kevin was talking about with compute. Right? So you have, uh, like, almost like a mass locks hierarchy of needs when it comes to cyber data or thio this coyote data or kind of unified data, Um, you know, you wanna turn it into basic information, alerts alarms, then you want to do reporting on it, or analytics or some some higher level workflow function. And then finally, you probably want to perform some analytics or some trending or sort of anomaly detection on it. And and that gets more computational e intensive each step of the way. And so you gotta You gotta build a platform that allows you to to both take some of that high level compute down to the edge, but also then bring some of that data up into the clouds where you could do that processing, and you have to have kind of fun jubilate e between that and so that hard platform allows you to kind of bring GP use and high processing units down to the edge and and make that work. Um, but then also and then as maybe even a first passive to rule out some of the most you know, some of the boring gated in the video Analytics platform. We call it Blue Sky and Blue Ocean. Right, so you're recording lots of video. That's not that interesting. How do you filter that out? So you're only sending the information The interesting video up eso You're not wasting bandwidth on stuff that just doesn't matter on DSO. It's It's a lot of kind of tuning these knobs and having a flexible enough platform that you could bring Compute down when you need it. And you could bring data up to compute on Big Cloud while you need it, and just kind of finding a way to tune that that that really does. I mean it. You know, that's a lot of words about how you do that. But what that comes to is flexible hardware and being able to apply those dev ops and C I. C D platform characteristics to that edge hardware and having a unified platform that allows you to kind of orchestrate your applications in your services all the way up and down your stack, from micro controllers to a big cloud instant creation. >>You make it sound so easy. Steven Kevin. Let's wrap it up with you in terms of like making impacts and going forward. We know the edge has exploded, even mawr, during this very interesting year. And that's going to be something that's probably going to stay, um, stay as a permanent impact or effect. What are some of the things that we can expect in 2021 in terms of how you're able to help government organizations capitalize on that, find things faster, make impact faster? >>Yeah. I mean, I think the cool thing we're seeing is that there's a lot more commoditization of sensors. There's a lot more censored information. And so let's use lighters. Example. We you know, things were getting cheaper, and so we can all of a sudden doom or or more things at the edge, and we ever would have expected. Right when you know Steven's team is integrating camera data and fence data from 40 years ago, you know, it's just saying on off it's not do anything fancy. But now we you know, you know, Stephen, I camera whether Metro you gave him before was, but the cost of light are has dropped so significantly that we can now then deploy that we can actually roll it out there and not being locked in their proprietary, uh, system. Um, so I see that being very powerful, you know? Also, I can see where you start having sensors interact with each other, right? So one sensor finds one thing and then a good example that we've started thio experiment with. And I think Steve, you could touch on it is using triggering a sensor, triggers a drone to actually investigate what's going on and then therefore, hybrid video back and then automatically can investigate instead of having to deploy a defender to actually see what happened at that. At that end, Points dio e don't know. There's it's amore detail you can provide there. >>Yeah, No. So exactly that Kevin. So So the power of the sensor is is something something old that that gives you very uninteresting Data like a one or a zero on on or off can detect something very specific and then do something kind of high speed, like task a drone to give you a visual assessment and then run object detection or facial recognition on, you know, do object detection to find a person and do facial recognition on that person to find out if that's a patrol walking through a field or a bad guy trying Thio invade your space. Um and so it's really the confluence and the gestalt of all of these sensors in the analytics working together, Um, that really creates the power from very simple, simple delivery. I think, um, there's this, You know, this idea that you know, ah 100 bytes of data is not that important. But when you put a million sensors giving you 100 bytes of data, you can truly find something extremely powerful. And then when you kind of and you make those interactions sing, um, it's amazing. Tow us the productivity that we can produce and the kind of fidelity of response that we can give thio actors in the space whether that's a defender trying to defend the base or a maintenance person trying thio proactively replace the fan or clean the fan on an H vac system. So So you know, you know, there isn't a fire at a base or for, uh, interesting enough. One of the things that we we've been able to achieve is we've taken maintenance data for helicopter engines and And we've been able to proactively say, Hey, you need to You need to take care of this part of the helicopter engine. Um and it saves money. It saves downtimes. It keeps the birds in the air. And it's a relatively simple algorithm that we were able to achieve. And we were able to do that with the maintenance people, bring them along in this endeavor and create analytics that they understood and could trust on DSO. I think that's really the power of this base. >>Tremendous power. I wish we had more time to to dig into it. Guys, thank you so much for sharing. Not just your insights, what nobody is doing but your passion for what you're doing and how you're making such an impact. Your passion is definitely palpable. Steven. Kevin, Thank you for joining me today. >>Thank you >>for my guests. I'm Lisa Martin. You're watching the Cube? Virtual. Yeah,
SUMMARY :
It's the Cube with digital coverage Got a couple of guests here from No. What do you What do you guys do? It's a privilege to be a partner with AWS for for some time now. And so, um, really, we focus on protecting the nation and protecting our activities And how do you do that with a W s? the bigger the data set them or compute you need the the more resource is you need So coming back over to you lets. And so one of the biggest things we do is partner with our government customers say that that a lot of the government it is really taking a move forward in this this this realm. And it's also surprising because, as you both said, you know, there is this expectation that I can give you the high level. So That's a definite stuff in a different direction. Part of the great thing about working in the government is you get to name things, cool things, How are you helping government organizations to win the war on information? on data so that we can actually enable that data to fuse together to find Yeah, and and Thio follow on to what you were kind of referring to with regards What are some of the things that we can expect in 2021 in terms of how But now we you know, And then when you kind of and you make those interactions sing, Kevin, Thank you for joining me today. Yeah,
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Kevin Pritchard, JANA | CUBE Conversation, November 2020
from the cube studios in palo alto in boston connecting with thought leaders all around the world this is a cube conversation welcome to the cube lisa martin here i'm having the opportunity to speak with one of dell technologies customers joining me from all the way down under in melbourne australia is kevin pritchard the head of it and business systems from janna investment advisors hi kevin nice to have you on the program thanks lisa a pleasure to be here so tell us about jonah investments who you guys are what you do all the types of data that you're dealing with jana is uh an asset consultant uh we consult to what we call in australia the superannuation industry which is the equivalent of your 401 k our clients are the actual funds themselves the pension funds we advise on both the accumulation and then the pension stage of those to those funds we have under advice across all our clients approximately 500 billion aud so that's a significant responsibility our decisions our research our recommendations probably affects between two to three out of five australians retirement outcomes all right so business critical data kevin i imagine there's compliance requirements not just in australia but if you're doing business with any clients in the americas or in uh europe primarily our markets australia but the regulatory overlays that we and our clients face into are significant and growing the superannuation sector in australia is now at around three trillion dollars it's a significant amount of money i think it's the second or third largest in the world um don't quote me on that but it's a significant amount of money so let's talk about data as a business critical asset and also from a brand reputation perspective talk to me about your it environment how you were managing data before and what some of the challenges were that you wanted to resolve i've been with jana for 14 years and in that time the demands and the complexity of our environment have increased we have to address a growing accumulation of business critical data our data forms our ip it's the core of our advice and it's not just what we're doing today it's what we've done five years ago 10 years ago it has to be there for ready reference it's a critical business asset i like how you said it's really your data is really your ip so talk to me about your it environment before on-prem cloud virtualize what does that landscape look like so we run a a data center we have a it's it's a more economical footprint but nevertheless it's the core of what we do as a business on a day-to-day some data we can't put in the cloud the regulatory overlays really don't permit it and privacy and you know we can better protect in a data center uh we we occupy a space in a dedicated space in a tier 4 data center in australia but that said we are increasingly moving into cloud now the cloud is super important to us it's but it's not easy to migrate into people just say oh let's just go to the cloud you really do have to think about things you have to think about how it's implemented you have to think about data security uh they're very good the cloud providers but it's all care no responsibility it ultimately comes back to you but the the nexus between cloud and on-prem is something that you have to think about and if i'm thinking about backup and dr and i can think of it from a number of perspectives you know it's not just backing up in case we've got failure of hardware but it's about cyber security it's about protection from things like air gapping ensuring um you know that your backups are actually aware of the malware for example uh we've we've had incidents uh and i'm sure the u.s had as well in australia where organizations have found six months down the track that their backups have been compromised we can't afford to do that our regulators our clients i myself have to give assurances to our clients that we're resilient that we're meeting the increasingly stringent benchmarks in your case study i was reading about uh really jonah was on a quest to become more data driven and also it sounded to me like the board was heavily invested and had a vested interest in data protection talk to me about how dell technologies is helping you meet some of those goals becoming more data driven and enabling you to ensure to your cfo et cetera the board that our data is secure yeah as i was saying [Music] at the beginning of this journey i would have thought back up how hard can it be right you you take a backup it's a tape it's a disc you put it into a secure repository something somewhere offside you have a problem you phone someone up they bring it take back and you restore those days have gone and when you really look into it it's a very specialist area how do you back up data especially the size of the data that we have how do you restore it in a timely manner how do you protect it against as i'm saying compromise you need to test it you need easy ways to test it it's complex now when i looked at this problem three years ago i think well okay we're no longer part of a big bank um we've got to stand on our own feet what's the best solution do you research the market um i i've worked with dell for a long time and they're in the mix in the end dell offered the best solution and they showed that they had the understanding of my environment and more broadly where industry is going so that data protection mix of products between the the visibility the dashboards and what happens in the cloud in terms of testing your workloads that are up there because testing is something that my board really really insists upon we have a an annual testing program it runs the full 12 months where we're testing various aspects of uh recovery so talk to me about you're talking about the complexity of a person in the beginning i thought back up in recovery how how difficult can that be you talked about the complexity though and as we talked about with with probably i would say increasing scrutiny from a regulations perspective aboard the cfo how did dell technologies how did power protect actually help you simplify because i actually saw a quote from you in your case study about it being easy help us understand how that was possible yeah you've always got to be careful using the word easy but let's take that perspective from what it would be if it wasn't easy so our prior solution was essentially relying on the dis backup multi-volume disk backup that was stored by a suitable company now i was looking at the dell uh the power protect data protect dashboard the other day and i was surprised we have 27 terabytes of data stored in the cloud which is sent up there daily i get a report card each day it's all green thankfully i can see that on average you know the change the delta of what the data we store on particular servers is on average around seven to ten percent a day those statistics are really important and uh and the deduplication compression ratios you know 97 98 are outstanding um that is really helpful so the point i was trying to make in my previous comments is that visibility is very important that's where it gets easy because i don't have to rely on an expert who's sitting over there he may be in or out telling me what's the status of where we are in day-to-day backup it's it's a critical part of bau it's a pretty critical part of data protection and our clients are greatly comforted by it absolutely when you were describing your previous environment i thought wow one of the things you probably you couldn't have had is complete visibility let alone maybe even good visibility so now with the dell uh power protect series can you look through like a single pane of glass management and see all the backups on file servers virtual machines all of that iep that you talked about that's core to the business uh the short answer is yes now there was another part of our previous setup where we used you what would be classical we had a warm site and we would replicate data one of the problems with that is i didn't know if replication was occurring i didn't know if you know if i if i had had a and we haven't but if we had a ransomware attack then it infects the server and it actually it replicates to your secondary side there was no air gap air gap your backup protected these old solutions of running a you know for an organization outside the the expanding the maintenance required to run a secondary side are just too much one of the things that sounds like you now have is confidence that what you're protecting with dell is in fact protected it's secure and you talked about ransomware a second ago and now in the age of kobe i read the other day that there's a ransomware attack happens every 11 seconds phishing is getting more personal and more sophisticated so that's a big challenge now that sounds like you've got a pretty resilient infrastructure that i i'm going to speak for you gives you the confidence that you're in a pretty good situation with respect to ensuring that that data is indeed safe i have a great deal more confidence and i'm being cautious and cynical i'm you'd never want to say 100. all right because the backup gods will frown upon you but i'm now more confident i can provide my c-suite i can provide the board with a ready snapshot view of where we stand are there any issues um not just cost effectiveness but the visibility of what's going on and look i i was absolutely surprised that an organization outside had 27 terabytes of data that's a lot of data for someone outside and that's important because really at the end of the day this boils down to brand reputation the ability to guarantee to the regulators your clients that all of the data that you talked about it's a lot for a company of your size is indeed secure and protected and that you can as you said you have pretty strong confidence i agree with you saying 100 is always one of those challenging kind of areas to be in but but i think from from a business outcomes perspective this isn't just about protecting the data that's sitting on file servers and virtual machines this is protecting and helping to reinforce the reputation of the brand of janna yes reputation our reputation is so important and we need to ensure to to guarantee to our clients that we stand head and shoulders above i've had funds come to me we we do our uh audits they've come in they've looked at our processes procedures you are miles ahead of us you put us to shame what's your advice to those folks who are coming in saying what you're doing kevin is putting us to shame you say here's how i would advise you to modernize your environment what's your advice well backup is no longer in d i's just look at the bcp and the dr thing it's no longer just about anticipating a hardware failure hub is very reliable but it can still fail network failure malware and malware is increasingly something we have to protect again that your your database is must be insured so you've got to think about it what's the best strategy and that and so you start with those primary objectives standing vms up in the cloud is you know you've got to understand cloud environments so seek good advice really research and and go for the solution that really offers hide the complexity if you can because at least if you guys make sure you can have someone over there that does all the the cloud stuff someone over there that knows all the hardware and then they can all get into a room and we can but most companies now are looking for that single pane of glass and you if you plan right and size your requirements then you you'll be okay in that respect and and it is an endorsement to dell [Music] um implementation phase well they're very good through the through the investigation phase their proposals were very very sound the um the costings the financial benefits were all laid out for me i was able to take a very firm recommendation to my board and we were able to secure that funding and then the implementation kevin that's great advice do do your due diligence and i'm sure now in this very dynamic different world that you're in you're in a much better position than you would have been had this not been able to be moved forward under your leadership we thank you so much for joining us on thecube today and sharing the successes that you're having at janna pleasure for kevin pritchard i'm lisa martin you're watching the cube
SUMMARY :
of the things you probably you couldn't
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Kevin L. Jackson, GC GlobalNet | Citrix Security Summit 2020
from the cube studios in palo alto in boston connecting with thought leaders all around the world this is a cube conversation hey welcome back everybody jeff frick here with the cube coming to you from our palo alto studios with a cube conversation with a great influencer we haven't had him on for a while last had him on uh in may i think of 2019 mid 2019. we're excited to welcome back to the program he's kevin l jackson he is the ceo of gc globalnet kevin great to see you today hey how you doing jeff thanks for having me it's uh it's been a while but i really enjoyed it yeah i really enjoy being on thecube well thank you for uh for coming back so we've got you on to talk about citrix we had you last on we had you on a citrix synergy this year obviously covet hit all the all the events have gone virtual and digital and citrix made an interesting move they decided to kind of break their thing into three buckets kind of around the main topics that people are interested in in their world and that's cloud so they had a citrix cloud summit they had a citrix workplace summit and now they just had their last one of the three which is the citrix security summit uh just wrapped up so before we jump into that i just want to get your take how are you doing how you getting through the kind of covid madness from you know the light switch moment that we experienced in march april 2. you know now we're like seven eight months into this and it's not going to end anytime soon well you know it's it was kind of different for me because um i've been working from home and remotely since i guess 2014 being a consultant and with all my different clients i was doing a lot more traveling um but with respect to doing meetings and being on collaborative systems all day long it's sort of like uh old hat and i say welcome to my world but i find that you know society is really changing the things that you thought were necessary in business you know being physically at meetings and shaking hands that's all like you know although we don't do that anymore yeah i used to joke right when we started this year that we finally got to 2020 the year that we know everything right with the benefit of hindsight but it turned out to be the year that we actually find out that we don't know anything and everything that we thought we knew in fact is not necessarily what we thought and um we got thrown into this we got thrown into this thing and you know thankfully for you and for me we're in you know we're in the tech space we can we can go to digital we're not in the hotel business or the hospitality business or you know so many businesses that are still suffering uh greatly but we were able to make the move in i.t and and citrix is a big piece of that in terms of enabling people to support remote work they've always been in remote work but this really changed the game a lot and i think as you said before we turned on the cameras accelerated you know this digital transformation way faster than anybody planned on oh oh yeah absolutely and another one of the areas that was particularly um accelerated they sort of put the rockets on is security which i'm really happy about because of the rapid increase in the number of remote workers i mean historically companies had most of their workforce in their own buildings on on their own property and there was a small percentage that would remote work remotely right but it's completely flipped now and it flipped within a period of a week or a week and a half and many of these companies were really scrambling to make you know their entire workforce be able to communicate collaborate and just get access to information uh remotely right right well david talked about it in the security keynote you know that you know as you said when this light switch moment hit in mid-march you had to get everybody uh secure and take care of your people and get them set up but you know he talked a little bit about you know maybe there were some shortcuts taken um and now that we've been into this thing in a prolonged duration and again it's going to be going on for a while longer uh that there's really an opportunity to to make sure that you put all the proper uh systems in place and make sure that you're protecting people you're protecting the assets and you're protecting you know the jewels of the company which today are data right and data in all the systems that people are working with every single day yeah yeah absolutely they had to rapidly rethink all of the work models and this uh accelerated digital transformation and the adoption of cloud and it was just this this huge demand for remote work but it was also important to uh keep to think about the user experience the employee experience i mean they were learning new things learning new technologies trying to figure out how to how to do new things and that at the beginning of this uh trend this transition people were thinking that hey you know after a few months we'll be okay but now and it's starting to sink in that this stuff is here to stay so you have to understand that work is not a place and i think actually david said that right it's really you have to look at how the worker is delivering and contributing to the mission of the organization to the business model and you have to be able to measure the workers level of output and their accomplishment and be able to do this remotely so back to office is is not going to happen in reality so the employee experience through this digital environment this digital work space it's critical yeah i think one of the quotes he had whether i think was either this one or one of the prior ones is like back to work is not back to normal right we're not going to go back to the way that it was before but it's interesting you touched on employee experience and that's a big piece of the conversation right how do we measure output versus you know just time punching the clock how do we give people that that experience that they've come to expect with the way they interact in technology in their personal lives but there's an interesting you know kind of conflict and i think you've talked about it before between employee experience and security because those two kind of inherently are going to be always in conflict because the employee's going to want more access to more things easier to use and yet you've got to keep security baked in throughout the stack whether it's access to the systems whether it's the individual and and so there's always this built-in kind of tension between those two objectives well the tension is because of history security has always been sort of a a second thought an afterthought uh you know you said due to work oh security we'll catch up to it when we need to but now because of the importance of data and the inherently global connectivity that we have the the need for security has is paramount so in order to attract that in order to address that the existing infrastructures had this where we just bolted security on to the existing infrastructures uh this is when they when the data centers and we said well as long as it's in our data center we can control it but then we with this covet thing we'll just burst out of any data center we have to rely on cloud so this this concept of just bolting on security just doesn't work because you no longer own or control the security right so you have to look at the entire platform and have a holistic security approach and it has to go from being infrastructure-centric to data centric because that's the only way you're going to provide security to your data to those remote employees right right and there's a very significant shift we hear all the time we've got rsa uh all the time to talk about security and that's this concept of zero trust and and the idea that rather than as you said kind of the old school you put a a wall and a moat around the things that you're trying to protect right you kind of start from the perspective of i don't trust anybody i don't trust where they're coming from i don't trust their device i don't trust that they have access to those applications and i don't trust that they have access to that data and then you basically enable that on a kind of a need to know basis across all those different factors at kind of the least the least amount that they need to get their job done it's a really different kind of approach to thinking about security right and but it's a standardized approach i mean before present time you would customize security to the individual or 2d organization or component of the organization because you know you knew where they were and you would you would say well they won't accept this so we'll do that so everything was sort of piecemeal now that work is not a location you have to be much more standardized much more focused and being able to track and secure that data requires things like digital rights management and and secure browsers and some of the work that citrix has done with google has really been amazing they they looked at it from a different point of view they said okay where people are always working through the cloud in different locations from from anywhere but they all work through their browser so you know we could and i think this was something that the vice president at google said uh sunil potty i believe uh vice president of google cloud they said well we can capitalize on that interface without affecting the experience and he was talking about chrome so so citrix and and google have worked together to drive sort of an agent-less experience to order to enhance security so instead of making everything location specific or organizational specific they set a standard and they support this intent-driven security model yeah it's interesting sunil's a really sharp guy we've had him on thecube a ton of times uh over the years but there's another really interesting take on security and i want to get your your feedback on it and that's kind of this coopetation right and silicon valley is very famous for you know coopetation you might be competing tooth and nail with the company across the street at the same time you got an opportunity to partner you might share apis you know it's a really interesting thing and one of the the items that came out of the citrix show was this new thing called the workspace security alliance because what's interesting in security that even if we're competitors if you're suddenly getting a new type of threat where you're getting a new type of attack and there's a new you know kind of profile actually the industry likes to share that information to help other people in the security business as kind of you know us versus the bad guys even if we're you know competing for purchase orders we're competing you know kind of face-to-face so they announced this security alliance which is pretty interesting to basically bring in partners to support uh coopetition around the zero trust framework uh yeah absolutely this is happening across just about every industry though you're going away from uh point-to-point relationships to where you're operating and working within an ecosystem and in security just this week it's been highlighted by the uh the trick trick bot um activity this uh persistent uh malware that i guess this week is attacking um health care uh facilities the actual the u.s department of homeland security put out an alert now and this is a threat to the entire ecosystem so everyone has to work together to protect everyone's data and that improves that that is the way forward and that's really the only way to be successful so uh we have to go from this point-to-point mindset to understanding that we're all in the same boat together and in this uh alliance the workspace security alliance is an indication that citrix gets it right everyone has workers everyone's workers are remote okay and everyone has to protect their own data so why don't we work together to do that yeah that's great that's interesting i had not heard of that alert but what we are hearing a lot of um in in a lot of the interviews that we're doing is kind of a resurfacing of kind of old techniques uh that the bad guys are using to to try to get remote workers because they're not necessarily surrounded with as much security or have as much baked in in their home setup as they have in the office and apparently you know ransomware is really on the rise and the sophistication of the ransom where folks is very high and that they try to go after your backup and all in you know your replication stuff before they actually hit you up for the uh for the want for the money so it's it's there's absolutely that's right yeah go ahead i'm sorry i was just saying that's indicative of the shift that most of your workers are no longer in your facilities than now and at home where companies never really put a lot of investment into protecting that channel that data channel they didn't think they needed to right right one of the other interesting things that came up uh at the citrix event was the use of uh artificial intelligence and machine learning to basically have a dynamic environment where you're adjusting you know kind of the access levels based on the behavior of the individual so what apps are they accessing what you know are they moving stuff around are they downloading stuff and to actually kind of keep a monitor if you will to look for anomalies and behavior so even if someone is trusted to do a particular type of thing if suddenly they're you know kind of out of band for a while then you know you can flag alerts to say hey what's going on is that this person did their job change you know why are they doing things that they don't normally do maybe there's a reason maybe there isn't a reason maybe it's not them so you know i think there's so many great applications for applied machine learning and artificial intelligence and these are the types of applications where you're going to see the huge benefits come from this type of technology oh yeah absolutely i mean the citrix analytics for security is really a um security service right um that monitors the activities of of people on the internet and it this machine learning gives you or gives the service this insight no one company can monitor the entire internet and you can go anywhere on the internet so bob working together leveraging this external service you can actually have automated remediation of your users you can put this specific user security risk score so um companies and organizations can be assured that they are within their risk tolerance right right and of course the other thing you've been in the business for a while that we're seeing that we're just kind of on the cusp of right is 5g and iot so a lot more connected devices a lot more data a lot more data moving at machine speed which is really what 5g is all about it's not necessarily for having a better phone call right so we're just going to see you know kind of again this this growth in terms of attack surfaces this growth in terms of the quantity of data and the growth in terms of the the the rate of change that that data is coming in and and the scale and the speed with the old uh you know velocity and and variety and volume uh the old big data memes so again the other thing go ahead the other thing it's not just data when you have 5g the virtual machines themselves are going to be traveling over this network so it's a whole new paradigm yeah yeah so the uh once again to have you know kind of a platform approach to make sure you're applying intelligence to keep an eye on all these things from zero trust uh uh kind of baseline position right pretty damn important yeah absolutely with with edge computing the internet of things this whole infrastructure based data centric approach where you can focus on how the individual is interacting with the network is important and and uh another real important component of that is the um software-defined wide area network because people work from everywhere and you have to monitor what they're doing right right yeah it's really worked from anywhere not necessarily work from home anymore i just want to you know again you've been doing this for a while get your feedback on on the fact that this is so much of a human problem and so much of a human opportunity versus just pure technology i think it's really easy to kind of get wrapped up in the technology but i think you said before digital transformation is a cultural issue it's not a technology issue and getting people to change the way they work and to change the way they work with each other and to change what they're measuring um as you said kobe kind of accelerated that whole thing but this has always been more of a cultural challenge in a technology challenge yeah the technology in a relative sense of you is kind of easy right but it's the expectations of humans is what they're used to is what they have been told in the past is the right thing no longer is right so you have to teach you have to learn you have to accept change and not just change but rapid change and accelerated change and people just don't like change they're uncomfortable in change so another aspect of this culture is learning to be adaptable and to accept change because it's going to come whether you want it or not faster than you think as well for sure you're right well that's great so kevin i'll give i give you the final word as as you think about how things have changed and again i think i think the significant thing is that we went from you know kind of this light switch moment where it was you know emergency and and quick get everything squared away but now we're in this we're in kind of this new normal it's going to be going for a while we'll get back to some some version of a hybrid uh solution at some point and you and i will be seeing each other at trade shows at some point in time in the in the future but it's not going to go back the way that it was and people can't wait and hope that it goes back the way that it was and really need to get behind this kind of hybrid if you will work environment and helping people you know be more productive with the tools they need it always gets back to giving the right people the right information at the right time to do what they need to do so just kind of get your perspective as we you know kind of get to the end of 2020 we're going to turn the page here rapidly on 2021 and we're going to start 2021 in kind of the same place we are today well to be honest we've talked about a lot of these things but the answer to all of them is agility agility agility is the key to success this is like not locking into a single cloud you're going to have multiple clouds not locking into a single application you have multiple applications not assuming that you're always going to be working from home or working through a certain browser you have to be agile to adapt to rapid change and the organizations that recognize that and uh teach their workers teach their entire ecosystem to operate together in a rapidly changing world with agility will be successful that's a great that's a great way to leave it i saw beth comstack the former vice chair at ge give a keynote one time and one of her great lines was get comfortable with being uncomfortable and i think you nailed it right this is about agility it's about change it's we've seen it in devops where you embrace change you don't try to avoid it you know you take that really at the top level and try to architect to be successful in that environment as opposed to sticking your head in the sand and praying it doesn't absolutely all right well kevin so great to catch up i'm i'm sorry it's been as long as it's been but hopefully it'll be uh shorter uh before the next time we get to see each other yes fine thank you very much i really enjoyed it absolutely all right he's kevin l jackson i'm jeff frick you're watching thecube from our palo alto studios keep conversation we'll see you next time you
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Kevin Deierling, NVIDIA and Scott Tease, Lenovo | CUBE Conversation, September 2020
>> Narrator: From theCUBE studios in Palo Alto in Boston, connecting with thought leaders all around the world, this is a CUBE conversation. >> Hi, I'm Stu Miniman, and welcome to a CUBE conversation. I'm coming to you from our Boston Area studio. And we're going to be digging into some interesting news regarding networking. Some important use cases these days, in 2020, of course, AI is a big piece of it. So happy to welcome to the program. First of all, I have one of our CUBE alumni, Kevin Deierling. He's the Senior Vice President of Marketing with Nvidia, part of the networking team there. And joining him is Scott Tease, someone we've known for a while, but first time on the program, who's the General Manager of HPC and AI, for the Lenovo Data Center Group. Scott and Kevin, thanks so much for joining us. >> It's great to be here Stu. >> Yeah, thank you. >> Alright, so Kevin, as I said, you you've been on the program a number of times, first when it was just Mellanox, now of course the networking team, there's some other acquisitions that have come in. If you could just set us up with the relationship between Nvidia and Lenovo. And there's some news today that we're here to talk about too. So let's start getting into that. And then Scott, you'll jump in after Kevin. >> Yeah, so we've been a long time partner with Lenovo, on our high performance computing. And so that's the InfiniBand piece of our business. And more and more, we're seeing that AI workloads are very, very similar to HPC workloads. And so that's been a great partnership that we've had for many, many years. And now we're expanding that, and we're launching a OEM relationship with Lenovo, for our Ethernet switches. And again, with our Ethernet switches, we really take that heritage of low latency, high performance networking that we built over many years in HPC, and we bring that to Ethernet. And of course that can be with HPC, because frequently in an HPC supercomputing environment, or in an AI supercomputing environment, you'll also have an Ethernet network, either for management, or sometimes for storage. And now we can offer that together with Lenovo. So it's a great partnership. We talked about it briefly last month, and now we're coming to market, and we'll be able to offer this to the market. >> Yeah, yeah, Kevin, we're super excited about it here in Lenovo as well. We've had a great relationship over the years with Mellanox, with Nvidia Mellanox. And this is just the next step. We've shown in HPC that the days of just taking an Ethernet card, or an InfiniBand card, plugging it in the system, and having it work properly are gone. You really need a system that's engineered for whatever task the customer is going to use. And we've known that in HPC for a long time, as we move into workloads, like artificial intelligence, where networking is a critical aspect of getting these systems to communicate with one another, and work properly together. We love from HPC perspective, to use InfiniBand, but most enterprise clients are using Ethernet. So where do we go? We go to a partner that we've trusted for a very long time. And we selected the Nvidia Mellanox Ethernet switch family. And we're really excited to be able to bring that end-to-end solution to our enterprise clients, just like we've been doing for HPC for a while. >> Yeah, well Scott, maybe if you could. I'd love to hear a little bit more about kind of that customer demand that those usages there. So you think traditionally, of course, is supercomputing, as you both talked about that move from InfiniBand, to leveraging Ethernet, is something that's been talked about for quite a while now in the industry. But maybe that AI specifically, could you talk about what are the networking requirements, how similar is it? Is it 95% of the same architecture, as what you see in HPC environments? And also, I guess the big question there is, how fast are customers adopting, and rolling out those AI solutions? And what kind of scale are they getting them to today? >> So yeah, there's a lot there of good things we can talk about. So I'd say in HPC, the thing that we've learned, is that you've got to have a fabric that's up to the task. When you're testing an HPC solution, you're not looking at a single node, you're looking at a combination of servers, and storage, management, all these things have to come together, and they come together over InfiniBand fabric. So we've got this nearly a purpose built fabric that's been fantastic for the HPC community for a long time. As we start to do some of that same type of workload, but in an enterprise environment, many of those customers are not used to InfiniBand, they're used to an Ethernet fabric, something that they've got all throughout their data center. And we want to try to find a way to do was, bring a lot of that rock solid interoperability, and pre-tested capability, and bring it to our enterprise clients for these AI workloads. Anything high performance GPUs, lots of inner internode communications, worries about traffic and congestion, abnormalities in the network that you need to spot. Those things happen quite often, when you're doing these enterprise AI solutions. You need a fabric that's able to keep up with that. And the Nvidia networking is definitely going to be able to do that for us. >> Yeah well, Kevin I heard Scott mention GPUs here. So this kind of highlights one of the reasons why we've seen Nvidia expand its networking capabilities. Could you talk a little bit about that kind of expansion, the portfolio, and how these use cases really are going to highlight what Nvidia helped bring to the market? >> Yeah, we like to really focus on accelerated computing applications. And whether those are HPC applications, or now they're becoming much more broadly adopted in the enterprise. And one of the things we've done is, tight integration at a product level, between GPUs, and the networking components in our business. Whether that's the adapters, or the DPU, the data processing unit, which we've talked about before. And now even with the switches here, with our friends at Lenovo, and really bringing that all together. But most importantly, is at a platform level. And by that I mean the software. And the enterprise here has all kinds of different verticals that are going after. And we invest heavily in the software ecosystem that's built on top of the GPU, and the networking. And by integrating all of that together on a platform, we can really accelerate the time to market for enterprises that wants to leverage these modern workloads, sort of cloud native workloads. >> Yeah, please Scott, if you have some follow up there. >> Yeah, if you don't mind Stu, I just like to say, five years ago, the roadmap that we followed was the processor roadmap. We all could tell you to the week when the next Xeon processor was going to come out. And that's what drove all of our roadmaps. Since that time what we found is that the items that are making the radical, the revolutionary improvements in performance, they're attached to the processor, but they're not the processor itself. It's things like, the GPU. It's things like that, especially networking adapters. So trying to design a platform that's solely based on a CPU, and then jam these other items on top of it. It no longer works, you have to design these systems in a holistic manner, where you're designing for the GPU, you're designing for the network. And that's the beauty of having a deep partnership, like we share with Nvidia, on both the GPU side, and on the networking side, is we can do all that upfront engineering to make sure that the platform, the systems, the solution, as a whole works exactly how the customer is going to expect it to. >> Kevin, you mentioned that a big piece of this is software now. I'm curious, there's an interesting piece that your networking team has picked up, relatively recently, that the Cumulus Linux, so help us understand how that fits into the Ethernet portfolio? And would it show up in these kind of applications that we're talking about? >> Yeah, that's a great question. So you're absolutely right, Cumulus is integral to what we're doing here with Lenovo. If you looked at the heritage that Mellanox had, and Cumulus, it's all about open networking. And what we mean by that, is we really decouple the hardware, and the software. So we support multiple network operating systems on top of our hardware. And so if it's, for example, Sonic, or if it's our Onyx or Dents, which is based on switch def. But Cumulus who we just recently acquired, has been also on that same access of open networking. And so they really support multiple platforms. Now we've added a new platform with our friends at Lenovo. And really they've adopted Cumulus. So it is very much centered on, Enterprise, and really a cloud like experience in the Enterprise, where it's Linux, but it's highly automated. Everything is operationalized and automated. And so as a result of that, you get sort of the experience of the cloud, but with the economics that you get in the Enterprise. So it's kind of the best of both worlds in terms of network analytic, and all of the ability to do things that the cloud guys are doing, but fully automated, and for an Enterprise environment. >> Yeah, so Kevin, I mean, I just want to say a few things about this. We're really excited about the Cumulus acquisition here. When we started our negotiations with Mellanox, we were still planning to use Onyx. We love Onyx, it's been our IB nodes of choice. Our users love, our are architects love it. But we were trying to lean towards a more open kind of futuristic, node as we got started with this. And Cumulus is really perfect. I mean it's a Linux open source based system. We love open source in HPC. The great thing about it is, we're going to be able to take all the great learnings that we've had with Onyx over the years, and now be able to consolidate those inside of Cumulus. We think it's the perfect way to start this relationship with Nvidia networking. >> Well Scott, help us understand a little more. What you know what does this expansion of the partnership mean? If you're talking about really the full solutions that Lenovo opens in the think agile brand, as well as the hybrid and cloud solutions. Is this something then that, is it just baked into the solution, is it a reseller, what should customers, and your your channel partners understand about this? >> Yeah, so any of the Lenovo solutions that require a switch to perform the functionality needed across the solution, are going to show up with the networking from Nvidia inside of it. Reasons for that, a couple of reasons. One is even something as simple as solution management for HPC, the switch is so integral to how we do all that, how we push all those functions down, how we deploy systems. So you've got to have a switch, in a connectivity methodology, that ensures that we know how to deploy these systems. And no matter what scale they are, from a few systems up, to literally thousands of systems, we've got something that we know how to do. Then when we're we're selling these solutions, like an SAP solution, for instance. The customer is not buying a server anymore, they're buying a solution, they're buying a functionality. And we want to be able to test that in our labs to ensure that that system, that rack, leaves our factory ready to do exactly what the customer is looking for. So any of the systems that are going to be coming from us, pre configured, pre tested, are all going to have Nvidia networking inside of them. >> Yeah, and I think that's, you mentioned the hybrid cloud. I think that's really important. That's really where we cut our teeth first in InfiniBand, but also with our Ethernet solutions. And so today, we're really driving a bunch of the big hyper scalars, as well as the big clouds. And as you see things like SAP or Azure, it's really important now that you're seeing Azure stack coming into a hybrid environment, that you have the known commodity here. So we're something that we're built in to many of those different platforms, with our Spectrum ASIC, as well as our adapters. And so now the ability with Nvidia, and Lenovo together, to bring that to enterprise customers, is really important. I think it's a proven set of components that together forms a solution. And that's the real key, as Scott said, is delivering a solution, not just piece parts, we have a platform, that software, hardware, all of it integrated. >> Well, it's great to see you. We've had an existing partnership for a while. I want to give you both the opportunity, anything specific, you've been hearing kind of the customer demand leading up this. Is it people that might be transitioning from InfiniBand to Ethernet? Or is it just general market adoption of new solutions that you have out there? (speakers talk over each other) >> You go ahead and start. >> Okay, so I think that there's different networks for different workloads, is what we've seen. And InfiniBand certainly is going to continue to be the best platform out there for HPC, and often for AI. But as Scott said, the enterprise frequently is not familiar with that, and for various reasons, would like to leverage Ethernet. So I think we'll see two different cases, one where there's Ethernet with an InfiniBand network. And the other is for new enterprise workloads that are coming, that are very AI centric, modern workloads, sort of cloud native workloads. You have all of the infrastructure in place with our Spectrum ASICs, and our Connectx adapters, and now integrated with GPUs, that we'll be able to deliver solutions rather than just compliments. And that's the key. >> Yeah, I think Stu, a great example, I think of where you need that networking, like we've been used to an HPC, is when you start looking at deep learning in training, scale out training. A lot of companies have been stuck on a single workstation, because they haven't been able to figure out how to spread that workload out, and chop it up, like we've been doing in HPC, because they've been running into networking issues. They can't run over an unoptimized network. With this new technology, we're hoping to be able to do a lot of the same things that HPC customers take for granted every day, about workload management, distribution of workload, chopping jobs up into smaller portions, and feeding them out to a cluster. We're hoping that we're going to be able to do those exact same things for our enterprise clients. And it's going to look magical to them, but it's the same kind of thing we've been doing forever. With Mellanox, in the past, now Nvidia networking, we're just going to take that to the enterprise. I'm really excited about it. >> Well, it's so much flexibility. We used to look at, it would take a decade to roll out some new generations. Kevin, if you could just give us latest speeds and feeds. If I look at Ethernet, did I see that this has from n gig, all the way up to 400 gig? I think I lose track a little bit of some of the pieces. I know the industry as a whole is driving it. But where are we with the general customer adoption of some of the some of the speeds today? >> Yeah indeed, we're coming up on the 40th anniversary of the first specification of Ethernet. And we're about 4000 times faster now, 40,000 times faster at 400 gigabits, versus 10 megabits. So yeah, we're shipping today at the adapter level, 100 gig, and even 200 gig. And then at the switch level, 400 gig. And people sort of ask, "Do we really need all that performance?" The answer is absolutely. So the amount of data that the GPU can crunch, and these AI workloads, these giant neural networks, it needs massive amounts of data. And then as you're scaling out, as Scott was talking about, much along the lines of InfiniBand Ethernet needs that same level of performance, throughput, latency and offloads, and we're able to deliver. >> Yeah, so Kevin, thank you so much. Scott, I want to give you a final word here. Anything else you want your customers to understand regarding this partnerships? >> Yeah, just a quick one Stu, quick one. So we've been really fortunate in working really closely with Mellanox over the years, and with Nvidia. And now the two together, we're just excited about what the future holds. We've done some really neat things in HPC, with being one of the first watercool an InfiniBand card. We're one of the first companies to deploy Dragonfly topology. We've done some unique things where we can share a single IP adapter, across multiple users. We're looking forward to doing a lot of that same exact kind of innovation, inside of our systems as we look to Ethernet. We often think that as speeds of Ethernet continue to go higher, we may see more and more people move from InfiniBand to Ethernet. I think that now having both of these offerings inside of our lineup, is going to make it really easy for customers to choose what's best for them over time. So I'm excited about the future. >> Alright, well Kevin and Scott, thank you so much. Deep integration and customer choice, important stuff. Thank you so much for joining us. >> Thank you Stu. >> Thanks Stu. >> Alright, I'm Stu Miniman, and thank you. Thanks for watching theCUBE. (upbeat music)
SUMMARY :
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Paresh Kharya & Kevin Deierling, NVIDIA | HPE Discover 2020
>> Narrator: From around the global its theCUBE, covering HPE Discover Virtual Experience, brought to you by HPE. >> Hi, I'm Stu Miniman and this is theCUBE's coverage of HPE, discover the virtual experience for 2020, getting to talk to Hp executives, their partners, the ecosystem, where they are around the globe, this session we're going to be digging in about artificial intelligence, obviously a super important topic these days. And to help me do that, I've got two guests from Nvidia, sitting in the window next to me, we have Paresh Kharya, he's director of product marketing and sitting next to him in the virtual environment is Kevin Deierling, who is this senior vice president of marketing as I mentioned both with Nvidia. Thank you both so much for joining us. >> Thank you, so great to be here. >> Great to be here. >> All right, so Paresh when you set the stage for us? AI, obviously, one of those mega trends to talk about but just, give us the stages, where Nvidia sits, where the market is, and your customers today, that they think about AI. >> Yeah, so we are basically witnessing a massive changes that are happening across every industry. And it's basically the confluence of three things. One is of course, AI, the second is 5G and IOT, and the third is the ability to process all of the data that we have, that's now possible. For AI we are now seeing really advanced models, from computer vision, to understanding natural language, to the ability to speak in conversational terms. In terms of IOT and 5G, there are billions of devices that are sensing and inferring information. And now we have the ability to act, make decisions in various industries, and finally all of the processing capabilities that we have today, at the data center, and in the cloud, as well as at the edge with the GPUs as well as advanced networking that's available, we can now make sense all of this data to help industrial transformation. >> Yeah, Kevin, you know it's interesting when you look at some of these waves of technology and we say, "Okay, there's a lot of new pieces here." You talk about 5G, it's the next generation but architecturally some of these things remind us of the past. So when I look at some of these architectures, I think about, what we've done for high performance computing for a long time, obviously, you know, Mellanox, where you came from through NVIDIA's acquisition, strong play in that environment. So, maybe give us a little bit compare, contrast, what's the same, and what's different about this highly distributed, edge compute AI, IOT environment and what's the same with what we were doing with HPC in the past. >> Yeah, so we've--Mellanox has now been a part of Nvidia for a little over a month and it's great to be part of that. We were both focused on accelerated computing and high performance computing. And to do that, what it means is the scale and the type of problems that we're trying to solve are just simply too large to fit into a single computer. So if that's the case, then you connect a lot of computers. And Jensen talked about this recently at the GTC keynote where he said that the new unit computing, it's really the data center. So it's no longer the box that sits on your desk or even in Iraq, it's the entire data center because that's the scale of the types of problems that we're solving. And so the notion of scale up and scale out, the network becomes really, really critical. And we're doing high-performance networking for a long time. When you move to the edge, instead of having, a single data center with 10,000 computers, you have 10,000 data centers, each of which as a small number of servers that is processing all of that information that's coming in. But in a sense, the problems are very, very similar, whether you're at the edge or you're doing massive HPC, scientific computing or cloud computing. And so we're excited to be part of bringing together the AI and the networking because they are really optimizing at the data center scale across the entire stack. >> All right, so it's interesting. You mentioned, Nvidia CEO, Jensen. I believe if I saw right in there, he actually could, wrote a term which I had not run across, it was the data processing unit or DPU in that, data center, as you talked about. Help us wrap our heads around this a little bit. I know my CPU, when I think about GPUs, I obviously think of Nvidia. TPUs, in the cloud and everything we're doing. So, what is DPUs? Is this just some new AI thing or, is this kind of a new architectural model? >> Yeah. I think what Jensen highlighted is that there's three key elements of this accelerated disaggregated infrastructure that the data center has becoming. And so that's the CPU, which is doing traditional single threaded workloads but for all of the accelerated workloads, you need the GPU. And that does massive parallelism deals with massive amounts of data, but to get that data into the GPU and also into the CPU, you need really an intelligent data processing because the scale and scope of GPUs and CPUs today, these are not single core entities. These are hundreds or even thousands of cores in a big system. And you need to steer the traffic exactly to the right place. You need to do it securely. You need to do it virtualized. You need to do it with containers and to do all of that, you need a programmable data processing unit. So we have something called our BlueField, which combines our latest, greatest, 100 gig and 200 gig network connectivity with Arm processors and a whole bunch of accelerators for security, for virtualization, for storage. And all of those things then feed these giant parallel engines which are the GPU. And of course the CPU, which is really the workload at the application layer for non-accelerated outs. >> Great, so Paresh, Kevin talked about, needing similar types of services, wherever the data is. I was wondering if you could really help expand for us a little bit, the implications of it AI at the edge. >> Sure, yeah, so AI is basically not just one workload. AI is many different types of models and AI also means training as well as inferences, which are very different workloads or AI printing, for example, we are seeing the models growing exponentially, think of any AI model, like a brain of a computer or like a brain, solving a particular use case a for simple models like computer vision, we have models that are smaller, bugs have computer vision but advanced models like natural language processing, they require larger brains or larger models, so on one hand we are seeing the size of the AI models increasing tremendously and in order to train these models, you need to look at computing at the scale of data center, many processors, many different servers working together to train a single model, on the other hand because of these AI models, they are so accurate today from understanding languages to speaking languages, to providing the right recommendations whether it's for products or for content that you may want to consume or advertisements and so on. These models are so effective and efficient that they are being powered by AI today. These applications are being powered by AI and each application requires a small amount of acceleration, so you need the ability to scale out or, and support many different applications. So with our newly launched MPR architecture, just couple of weeks to go that Jensen announced, in the virtual keynote for the first time, we are now able to provide both, scale up and scale out both training data analytics as well as imprints on the single architecture and that's very exciting. >> Yeah, so look at that. The other thing that's interesting is you're talking about at the edge and scale out versus scale up, the networking is critical for both of those. And there's a lot of different workloads. And as Paresh was describing, you've got different workloads that require different amounts of GPU or storage or networking. And so part of that vision of this data center as the computer is that, the DPU lets you scale independently, everything. So you can compose, you desegregate into DPUs and storage and CPUs, and then you compose exactly the computer that you need on the fly container, right, to solve the problem that you're solving right now. So these new way of programming is programming the entire data center at once and you'll go grab all of it and it'll run for a few hundred milliseconds even and then it'll come back down and recompose itself onsite. And to do that, you need this very highly efficient networking infrastructure. And the good news is we're here at HPE Discover. We've got a great partner with HPE. You know, they have our M series switches that uses the Mellanox hundred gig and now even 200 and 400 gig ethernet switches, we have all of our adapters and they have great platforms. The Apollo platform for example, is break for HPC and they have other great platforms that we're looking at with the new telco that we're doing or 5G and accelerating that. >> Yeah, and on the edge computing side, there's the edge line set of products which are very interesting, the other sort of aspect that I wanted to touch upon, is the whole software stack that's needed for the edge. So edge is different in the sense that it's not centrally managed, the edge computing devices are distributed remote locations. And so managing the workflow of running and updating software on it is important and needs to be done in a very secure manner. The second thing that's, that's very different again, for the edges, these devices are going to require connectivity. As Kevin was pointing out, the importance of networking so we also announced, a couple of weeks ago at our GTC, our EGX product that combines the Mellanox NIC and our GPUs into a single a processor, Mellanox NIC provides a fast connectivity, security, as well as the encryption and decryption capabilities, GPUs provide acceleration to run the advanced DI models, that are required for applications at the edge. >> Okay, and if I understood that, right. So, you've got these throughout the HPE the product line, HPE's got long history of making, flexible configurations, I remember when they first came out with a Blade server it was, different form factors, different connectivity options, they pushed heavily into composable infrastructure. So it sounds like this is just a kind of extending, you know, what HP has been doing for a couple of decades. >> Yeah, I think HP is a great partner there and these new platforms, the EGX, for example that was just announced, a great workload there is a 5G telco. So we'll be working with our friends at HPE to take that to market as well. And, you know, really, there's a lot of different workloads and they've got a great portfolio of products across the spectrum from regular servers. And 1U, 2U, and then all the way up to their big Apollo platform. >> Well I'm glad you brought up telco, I'm curious, are there any specific, applications or workloads that, where the low hanging fruit or the kind of the first targets that you use for AI acceleration? >> Yeah, so you know, the 5G workload is just awesome. We're introduced with the EGX, a new platform called Ariel which is a programming framework and there were lots of partners there that were part of that, including, folks like Ericsson. And the idea there is that you have a software defined hardware accelerated radio area network, so a cloud RAM and it really has all of the right attributes of the cloud and what's nice there is now you can change on the fly, the algorithms that you're using for the baseband codex without having to go climb a radio tower and change the actual physical infrastructure. So that's a critical part. Our role in that, on the networking side, we introduced the technology that's part of EGX then are connected, It's like the DX adapter, it's called 5T for 5G. And one of the things that happens is you need this time triggered transport or a telco technology. That's the 5T's for 5G. And the reason is because you're doing distributed baseband unit, distributed radio processing and the timing between each of those server nodes needs to be super precise, 20 nanosecond. It's something that simply can't be done in software. And so we did that in hardware. So instead of having an expensive FPGA, I try to synchronize all of these boxes together. We put it into our NIC and now we put that into industry standard servers HP has some fantastic servers. And then with the EGX platform, with that we can build, really scale out software to client cloud RAM. >> Awesome, Paresh, anything else on the application side you'd like to add in just about what Kevin spoke about. >> Oh yeah, so from application perspective, every industry has applications that touch on edge. If you take a look at the retail, for example, there is, you know, all the way from supply chain to inventory management, to keeping the right stock units in the shelves, making sure there is a there is no slippage or shrinkage. So to telecom, to healthcare, we are re-looking at constantly monitoring patients and taking actions for the best outcomes to manufacturing. We are looking to automate production detecting failures much early on in the production cycle and so on every industry has different applications but they all use AI. They can all leverage the computing capabilities and high-speed networking at the edge to transform their business processes. >> All right, well, it's interesting almost every time we've talked about AI, networking has come up. So, you know, Kevin, I think that probably ease up a little bit why, Nvidia, spent around $7 billion for the acquisition of Mellanox and not only was it the Mellanox acquisition, Cumulus Networks, very known in the network space for software defined really, operating system for networking but give us strategically, does this change the direction of Nvidia, how should we be thinking about Nvidia in the overall network? >> Yeah, I think the way to think about it is going back to that data center as the computer. And if you're thinking about the data center as computer then networking becomes the back plane, if you will of that data center computer and having a high performance network is really critical. And Mellanox has been a leader in that for 20 years now with our InfiniBand and our Ethernet product. But beyond that, you need a programmatic interface because one of the things that's really important in the cloud is that everything is software defined and it's containerized now and there is no better company in the world then Cumulus, really the pioneer and building Cumulus clinics, taking the Linux operating system and running that on multiple homes. So not just hardware from Mellanox but hardware from other people as well. And so that whole notion of an open networking platform more committed to, you need to support that and now you have a programmatic interface that you can drop containers on top of, Cumulus has been the leader in the Linux FRR, it's Free Range Routing, which is the core routing algorithm. And that really is at the heart of other open source network operating systems like Sonic and DENT so we see a lot of synergy here, all the analytics that Cumulus is bringing to bear with NetQ. So it's really great that they're going to be part here of the Nvidia team. >> Excellent, well thank you both much. Want to give you the final word, what should they do, HPE customers in their ecosystem know about the Nvidia and HPE partnership? >> Yeah, so I'll start you know, I think HPE has been a longtime partner and a customer of ours. If you have accelerated workloads, you need to connect those together. The HPE server portfolio is an ideal place. We can combine some of the work we're doing with our new amp years and existing GPUs and then also to connect those together with the M series, which is their internet switches that are based on our spectrum switch platforms and then all of the HPC related activities on InfiniBand, they're a great partner there. And so all of that, pulling it together, and now as at the edge, as edge becomes more and more important, security becomes more and more important and you have to go to this zero trust model, if you plug in a camera that's somebody has at the edge, even if it's on a car, you can't trust it. So everything has to become, validated authenticated, all the data needs to be encrypted. And so they're going to be a great partner because they've been a leader and building the most secure platforms in the world. >> Yeah and on the data center, server, portfolio side, we really work very closely with HP on various different lines of products and really fantastic servers from the Apollo line of a scale up servers to synergy and ProLiant line, as well as the Edgeline for the edge and on the super computing side with the pre side of things. So we really work to the fullest spectram of solutions with HP. We also work on the software side, wehere a lot of these servers, are also certified to run a full stack under a program that we call NGC-Ready so customers get phenomenal value right off the bat, they're guaranteed, to have accelerated workloads work well when they choose these servers. >> Awesome, well, thank you both for giving us the updates, lots happening, obviously in the AI space. Appreciate all the updates. >> Thanks Stu, great to talk to you, stay well. >> Thanks Stu, take care. >> All right, stay with us for lots more from HPE Discover Virtual Experience 2020. I'm Stu Miniman and thank you for watching theCUBE. (bright upbeat music)
SUMMARY :
the global its theCUBE, in the virtual environment that they think about AI. and finally all of the processing the next generation And so the notion of TPUs, in the cloud and And of course the CPU, which of it AI at the edge. for the first time, we are And the good news is we're Yeah, and on the edge computing side, the product line, HPE's across the spectrum from regular servers. and it really has all of the else on the application side and high-speed networking at the edge in the network space for And that really is at the heart about the Nvidia and HPE partnership? all the data needs to be encrypted. Yeah and on the data Appreciate all the updates. Thanks Stu, great to I'm Stu Miniman and thank
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