>>From the Cube Studios in Palo Alto in Boston, bringing you data-driven insights from the cube and E T R. This is breaking analysis with Dave Valante. >>Making technology predictions in 2022 was tricky business, especially if you were projecting the performance of markets or identifying I P O prospects and making binary forecast on data AI and the macro spending climate and other related topics in enterprise tech 2022, of course was characterized by a seesaw economy where central banks were restructuring their balance sheets. The war on Ukraine fueled inflation supply chains were a mess. And the unintended consequences of of forced march to digital and the acceleration still being sorted out. Hello and welcome to this week's weekly on Cube Insights powered by E T R. In this breaking analysis, we continue our annual tradition of transparently grading last year's enterprise tech predictions. And you may or may not agree with our self grading system, but look, we're gonna give you the data and you can draw your own conclusions and tell you what, tell us what you think. >>All right, let's get right to it. So our first prediction was tech spending increases by 8% in 2022. And as we exited 2021 CIOs, they were optimistic about their digital transformation plans. You know, they rushed to make changes to their business and were eager to sharpen their focus and continue to iterate on their digital business models and plug the holes that they, the, in the learnings that they had. And so we predicted that 8% rise in enterprise tech spending, which looked pretty good until Ukraine and the Fed decided that, you know, had to rush and make up for lost time. We kind of nailed the momentum in the energy sector, but we can't give ourselves too much credit for that layup. And as of October, Gartner had it spending growing at just over 5%. I think it was 5.1%. So we're gonna take a C plus on this one and, and move on. >>Our next prediction was basically kind of a slow ground ball. The second base, if I have to be honest, but we felt it was important to highlight that security would remain front and center as the number one priority for organizations in 2022. As is our tradition, you know, we try to up the degree of difficulty by specifically identifying companies that are gonna benefit from these trends. So we highlighted some possible I P O candidates, which of course didn't pan out. S NQ was on our radar. The company had just had to do another raise and they recently took a valuation hit and it was a down round. They raised 196 million. So good chunk of cash, but, but not the i p O that we had predicted Aqua Securities focus on containers and cloud native. That was a trendy call and we thought maybe an M SS P or multiple managed security service providers like Arctic Wolf would I p o, but no way that was happening in the crummy market. >>Nonetheless, we think these types of companies, they're still faring well as the talent shortage in security remains really acute, particularly in the sort of mid-size and small businesses that often don't have a sock Lacework laid off 20% of its workforce in 2022. And CO C e o Dave Hatfield left the company. So that I p o didn't, didn't happen. It was probably too early for Lacework. Anyway, meanwhile you got Netscope, which we've cited as strong in the E T R data as particularly in the emerging technology survey. And then, you know, I lumia holding its own, you know, we never liked that 7 billion price tag that Okta paid for auth zero, but we loved the TAM expansion strategy to target developers beyond sort of Okta's enterprise strength. But we gotta take some points off of the failure thus far of, of Okta to really nail the integration and the go to market model with azero and build, you know, bring that into the, the, the core Okta. >>So the focus on endpoint security that was a winner in 2022 is CrowdStrike led that charge with others holding their own, not the least of which was Palo Alto Networks as it continued to expand beyond its core network security and firewall business, you know, through acquisition. So overall we're gonna give ourselves an A minus for this relatively easy call, but again, we had some specifics associated with it to make it a little tougher. And of course we're watching ve very closely this this coming year in 2023. The vendor consolidation trend. You know, according to a recent Palo Alto network survey with 1300 SecOps pros on average organizations have more than 30 tools to manage security tools. So this is a logical way to optimize cost consolidating vendors and consolidating redundant vendors. The E T R data shows that's clearly a trend that's on the upswing. >>Now moving on, a big theme of 2020 and 2021 of course was remote work and hybrid work and new ways to work and return to work. So we predicted in 2022 that hybrid work models would become the dominant protocol, which clearly is the case. We predicted that about 33% of the workforce would come back to the office in 2022 in September. The E T R data showed that figure was at 29%, but organizations expected that 32% would be in the office, you know, pretty much full-time by year end. That hasn't quite happened, but we were pretty close with the projection, so we're gonna take an A minus on this one. Now, supply chain disruption was another big theme that we felt would carry through 2022. And sure that sounds like another easy one, but as is our tradition, again we try to put some binary metrics around our predictions to put some meat in the bone, so to speak, and and allow us than you to say, okay, did it come true or not? >>So we had some data that we presented last year and supply chain issues impacting hardware spend. We said at the time, you can see this on the left hand side of this chart, the PC laptop demand would remain above pre covid levels, which would reverse a decade of year on year declines, which I think started in around 2011, 2012. Now, while demand is down this year pretty substantially relative to 2021, I D C has worldwide unit shipments for PCs at just over 300 million for 22. If you go back to 2019 and you're looking at around let's say 260 million units shipped globally, you know, roughly, so, you know, pretty good call there. Definitely much higher than pre covid levels. But so what you might be asking why the B, well, we projected that 30% of customers would replace security appliances with cloud-based services and that more than a third would replace their internal data center server and storage hardware with cloud services like 30 and 40% respectively. >>And we don't have explicit survey data on exactly these metrics, but anecdotally we see this happening in earnest. And we do have some data that we're showing here on cloud adoption from ET R'S October survey where the midpoint of workloads running in the cloud is around 34% and forecast, as you can see, to grow steadily over the next three years. So this, well look, this is not, we understand it's not a one-to-one correlation with our prediction, but it's a pretty good bet that we were right, but we gotta take some points off, we think for the lack of unequivocal proof. Cause again, we always strive to make our predictions in ways that can be measured as accurate or not. Is it binary? Did it happen, did it not? Kind of like an O K R and you know, we strive to provide data as proof and in this case it's a bit fuzzy. >>We have to admit that although we're pretty comfortable that the prediction was accurate. And look, when you make an hard forecast, sometimes you gotta pay the price. All right, next, we said in 2022 that the big four cloud players would generate 167 billion in IS and PaaS revenue combining for 38% market growth. And our current forecasts are shown here with a comparison to our January, 2022 figures. So coming into this year now where we are today, so currently we expect 162 billion in total revenue and a 33% growth rate. Still very healthy, but not on our mark. So we think a w s is gonna miss our predictions by about a billion dollars, not, you know, not bad for an 80 billion company. So they're not gonna hit that expectation though of getting really close to a hundred billion run rate. We thought they'd exit the year, you know, closer to, you know, 25 billion a quarter and we don't think they're gonna get there. >>Look, we pretty much nailed Azure even though our prediction W was was correct about g Google Cloud platform surpassing Alibaba, Alibaba, we way overestimated the performance of both of those companies. So we're gonna give ourselves a C plus here and we think, yeah, you might think it's a little bit harsh, we could argue for a B minus to the professor, but the misses on GCP and Alibaba we think warrant a a self penalty on this one. All right, let's move on to our prediction about Supercloud. We said it becomes a thing in 2022 and we think by many accounts it has, despite the naysayers, we're seeing clear evidence that the concept of a layer of value add that sits above and across clouds is taking shape. And on this slide we showed just some of the pickup in the industry. I mean one of the most interesting is CloudFlare, the biggest supercloud antagonist. >>Charles Fitzgerald even predicted that no vendor would ever use the term in their marketing. And that would be proof if that happened that Supercloud was a thing and he said it would never happen. Well CloudFlare has, and they launched their version of Supercloud at their developer week. Chris Miller of the register put out a Supercloud block diagram, something else that Charles Fitzgerald was, it was was pushing us for, which is rightly so, it was a good call on his part. And Chris Miller actually came up with one that's pretty good at David Linthicum also has produced a a a A block diagram, kind of similar, David uses the term metacloud and he uses the term supercloud kind of interchangeably to describe that trend. And so we we're aligned on that front. Brian Gracely has covered the concept on the popular cloud podcast. Berkeley launched the Sky computing initiative. >>You read through that white paper and many of the concepts highlighted in the Supercloud 3.0 community developed definition align with that. Walmart launched a platform with many of the supercloud salient attributes. So did Goldman Sachs, so did Capital One, so did nasdaq. So you know, sorry you can hate the term, but very clearly the evidence is gathering for the super cloud storm. We're gonna take an a plus on this one. Sorry, haters. Alright, let's talk about data mesh in our 21 predictions posts. We said that in the 2020s, 75% of large organizations are gonna re-architect their big data platforms. So kind of a decade long prediction. We don't like to do that always, but sometimes it's warranted. And because it was a longer term prediction, we, at the time in, in coming into 22 when we were evaluating our 21 predictions, we took a grade of incomplete because the sort of decade long or majority of the decade better part of the decade prediction. >>So last year, earlier this year, we said our number seven prediction was data mesh gains momentum in 22. But it's largely confined and narrow data problems with limited scope as you can see here with some of the key bullets. So there's a lot of discussion in the data community about data mesh and while there are an increasing number of examples, JP Morgan Chase, Intuit, H S P C, HelloFresh, and others that are completely rearchitecting parts of their data platform completely rearchitecting entire data platforms is non-trivial. There are organizational challenges, there're data, data ownership, debates, technical considerations, and in particular two of the four fundamental data mesh principles that the, the need for a self-service infrastructure and federated computational governance are challenging. Look, democratizing data and facilitating data sharing creates conflicts with regulatory requirements around data privacy. As such many organizations are being really selective with their data mesh implementations and hence our prediction of narrowing the scope of data mesh initiatives. >>I think that was right on J P M C is a good example of this, where you got a single group within a, within a division narrowly implementing the data mesh architecture. They're using a w s, they're using data lakes, they're using Amazon Glue, creating a catalog and a variety of other techniques to meet their objectives. They kind of automating data quality and it was pretty well thought out and interesting approach and I think it's gonna be made easier by some of the announcements that Amazon made at the recent, you know, reinvent, particularly trying to eliminate ET t l, better connections between Aurora and Redshift and, and, and better data sharing the data clean room. So a lot of that is gonna help. Of course, snowflake has been on this for a while now. Many other companies are facing, you know, limitations as we said here and this slide with their Hadoop data platforms. They need to do new, some new thinking around that to scale. HelloFresh is a really good example of this. Look, the bottom line is that organizations want to get more value from data and having a centralized, highly specialized teams that own the data problem, it's been a barrier and a blocker to success. The data mesh starts with organizational considerations as described in great detail by Ash Nair of Warner Brothers. So take a listen to this clip. >>Yeah, so when people think of Warner Brothers, you always think of like the movie studio, but we're more than that, right? I mean, you think of H B O, you think of t n t, you think of C N N. We have 30 plus brands in our portfolio and each have their own needs. So the, the idea of a data mesh really helps us because what we can do is we can federate access across the company so that, you know, CNN can work at their own pace. You know, when there's election season, they can ingest their own data and they don't have to, you know, bump up against, as an example, HBO if Game of Thrones is going on. >>So it's often the case that data mesh is in the eyes of the implementer. And while a company's implementation may not strictly adhere to Jamma Dani's vision of data mesh, and that's okay, the goal is to use data more effectively. And despite Gartner's attempts to deposition data mesh in favor of the somewhat confusing or frankly far more confusing data fabric concept that they stole from NetApp data mesh is taking hold in organizations globally today. So we're gonna take a B on this one. The prediction is shaping up the way we envision, but as we previously reported, it's gonna take some time. The better part of a decade in our view, new standards have to emerge to make this vision become reality and they'll come in the form of both open and de facto approaches. Okay, our eighth prediction last year focused on the face off between Snowflake and Databricks. >>And we realized this popular topic, and maybe one that's getting a little overplayed, but these are two companies that initially, you know, looked like they were shaping up as partners and they, by the way, they are still partnering in the field. But you go back a couple years ago, the idea of using an AW w s infrastructure, Databricks machine intelligence and applying that on top of Snowflake as a facile data warehouse, still very viable. But both of these companies, they have much larger ambitions. They got big total available markets to chase and large valuations that they have to justify. So what's happening is, as we've previously reported, each of these companies is moving toward the other firm's core domain and they're building out an ecosystem that'll be critical for their future. So as part of that effort, we said each is gonna become aggressive investors and maybe start doing some m and a and they have in various companies. >>And on this chart that we produced last year, we studied some of the companies that were targets and we've added some recent investments of both Snowflake and Databricks. As you can see, they've both, for example, invested in elation snowflake's, put money into Lacework, the Secur security firm, ThoughtSpot, which is trying to democratize data with ai. Collibra is a governance platform and you can see Databricks investments in data transformation with D B T labs, Matillion doing simplified business intelligence hunters. So that's, you know, they're security investment and so forth. So other than our thought that we'd see Databricks I p o last year, this prediction been pretty spot on. So we'll give ourselves an A on that one. Now observability has been a hot topic and we've been covering it for a while with our friends at E T R, particularly Eric Bradley. Our number nine prediction last year was basically that if you're not cloud native and observability, you are gonna be in big trouble. >>So everything guys gotta go cloud native. And that's clearly been the case. Splunk, the big player in the space has been transitioning to the cloud, hasn't always been pretty, as we reported, Datadog real momentum, the elk stack, that's open source model. You got new entrants that we've cited before, like observe, honeycomb, chaos search and others that we've, we've reported on, they're all born in the cloud. So we're gonna take another a on this one, admittedly, yeah, it's a re reasonably easy call, but you gotta have a few of those in the mix. Okay, our last prediction, our number 10 was around events. Something the cube knows a little bit about. We said that a new category of events would emerge as hybrid and that for the most part is happened. So that's gonna be the mainstay is what we said. That pure play virtual events are gonna give way to hi hybrid. >>And the narrative is that virtual only events are, you know, they're good for quick hits, but lousy replacements for in-person events. And you know that said, organizations of all shapes and sizes, they learn how to create better virtual content and support remote audiences during the pandemic. So when we set at pure play is gonna give way to hybrid, we said we, we i we implied or specific or specified that the physical event that v i p experience is going defined. That overall experience and those v i p events would create a little fomo, fear of, of missing out in a virtual component would overlay that serves an audience 10 x the size of the physical. We saw that really two really good examples. Red Hat Summit in Boston, small event, couple thousand people served tens of thousands, you know, online. Second was Google Cloud next v i p event in, in New York City. >>Everything else was, was, was, was virtual. You know, even examples of our prediction of metaverse like immersion have popped up and, and and, and you know, other companies are doing roadshow as we predicted like a lot of companies are doing it. You're seeing that as a major trend where organizations are going with their sales teams out into the regions and doing a little belly to belly action as opposed to the big giant event. That's a definitely a, a trend that we're seeing. So in reviewing this prediction, the grade we gave ourselves is, you know, maybe a bit unfair, it should be, you could argue for a higher grade, but the, but the organization still haven't figured it out. They have hybrid experiences but they generally do a really poor job of leveraging the afterglow and of event of an event. It still tends to be one and done, let's move on to the next event or the next city. >>Let the sales team pick up the pieces if they were paying attention. So because of that, we're only taking a B plus on this one. Okay, so that's the review of last year's predictions. You know, overall if you average out our grade on the 10 predictions that come out to a b plus, I dunno why we can't seem to get that elusive a, but we're gonna keep trying our friends at E T R and we are starting to look at the data for 2023 from the surveys and all the work that we've done on the cube and our, our analysis and we're gonna put together our predictions. We've had literally hundreds of inbounds from PR pros pitching us. We've got this huge thick folder that we've started to review with our yellow highlighter. And our plan is to review it this month, take a look at all the data, get some ideas from the inbounds and then the e t R of January surveys in the field. >>It's probably got a little over a thousand responses right now. You know, they'll get up to, you know, 1400 or so. And once we've digested all that, we're gonna go back and publish our predictions for 2023 sometime in January. So stay tuned for that. All right, we're gonna leave it there for today. You wanna thank Alex Myerson who's on production and he manages the podcast, Ken Schiffman as well out of our, our Boston studio. I gotta really heartfelt thank you to Kristen Martin and Cheryl Knight and their team. They helped get the word out on social and in our newsletters. Rob Ho is our editor in chief over at Silicon Angle who does some great editing for us. Thank you all. Remember all these podcasts are available or all these episodes are available is podcasts. Wherever you listen, just all you do Search Breaking analysis podcast, really getting some great traction there. Appreciate you guys subscribing. I published each week on wikibon.com, silicon angle.com or you can email me directly at david dot valante silicon angle.com or dm me Dante, or you can comment on my LinkedIn post. And please check out ETR AI for the very best survey data in the enterprise tech business. Some awesome stuff in there. This is Dante for the Cube Insights powered by etr. Thanks for watching and we'll see you next time on breaking analysis.

>>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.

>>Okay. Okay. We're back at Caesar's Forum. The Snowflake summit 2022. The cubes. Continuous coverage this day to wall to wall coverage. We're so excited to have the analyst panel here, some of my colleagues that we've done a number. You've probably seen some power panels that we've done. David McGregor is here. He's the senior vice president and research director at Ventana Research. To his left is Tony Blair, principal at DB Inside and my in the co host seat. Sanjeev Mohan Sanremo. Guys, thanks so much for coming on. I'm glad we can. Thank you. You're very welcome. I wasn't able to attend the analyst action because I've been doing this all all day, every day. But let me start with you, Dave. What have you seen? That's kind of interested you. Pluses, minuses. Concerns. >>Well, how about if I focus on what I think valuable to the customers of snowflakes and our research shows that the majority of organisations, the majority of people, do not have access to analytics. And so a couple of things they've announced I think address those are helped to address those issues very directly. So Snow Park and support for Python and other languages is a way for organisations to embed analytics into different business processes. And so I think that will be really beneficial to try and get analytics into more people's hands. And I also think that the native applications as part of the marketplace is another way to get applications into people's hands rather than just analytical tools. Because most most people in the organisation or not, analysts, they're doing some line of business function. Their HR managers, their marketing people, their salespeople, their finance people right there, not sitting there mucking around in the data. They're doing a job and they need analytics in that job. So, >>Tony, I thank you. I've heard a lot of data mesh talk this week. It's kind of funny. Can't >>seem to get away from it. You >>can't see. It seems to be gathering momentum, but But what have you seen? That's been interesting. >>What I have noticed. Unfortunately, you know, because the rooms are too small, you just can't get into the data mesh sessions, so there's a lot of interest in it. Um, it's still very I don't think there's very much understanding of it, but I think the idea that you can put all the data in one place which, you know, to me, stuff like it seems to be kind of sort of in a way, it sounds like almost like the Enterprise Data warehouse, you know, Clouded Cloud Native Edition, you know, bring it all in one place again. Um, I think it's providing, sort of, You know, it's I think, for these folks that think this might be kind of like a a linchpin for that. I think there are several other things that actually that really have made a bigger impression on me. Actually, at this event, one is is basically is, um we watch their move with Eunice store. Um, and it's kind of interesting coming, you know, coming from mongo db last week. And I see it's like these two companies seem to be going converging towards the same place at different speeds. I think it's not like it's going to get there faster than Mongo for a number of different reasons, but I see like a number of common threads here. I mean, one is that Mongo was was was a company. It's always been towards developers. They need you know, start cultivating data, people, >>these guys going the other way. >>Exactly. Bingo. And the thing is that but they I think where they're converging is the idea of operational analytics and trying to serve all constituencies. The other thing, which which also in terms of serving, you know, multiple constituencies is how snowflake is laid out Snow Park and what I'm finding like. There's an interesting I economy. On one hand, you have this very ingrained integration of Anaconda, which I think is pretty ingenious. On the other hand, you speak, let's say, like, let's say the data robot folks and say, You know something our folks wanna work data signs us. We want to work in our environment and use snowflake in the background. So I see those kind of some interesting sort of cross cutting trends. >>So, Sandy, I mean, Frank Sullivan, we'll talk about there's definitely benefits into going into the walled garden. Yeah, I don't think we dispute that, but we see them making moves and adding more and more open source capabilities like Apache iceberg. Is that a Is that a move to sort of counteract the narrative that the data breaks is put out there. Is that customer driven? What's your take on that? >>Uh, primarily I think it is to contract this whole notion that once you move data into snowflake, it's a proprietary format. So I think that's how it started. But it's hugely beneficial to the customers to the users, because now, if you have large amounts of data in parquet files, you can leave it on s three. But then you using the the Apache iceberg table format. In a snowflake, you get all the benefits of snowflakes. Optimizer. So, for example, you get the, you know, the micro partitioning. You get the meta data. So, uh, in a single query, you can join. You can do select from a snowflake table union and select from iceberg table, and you can do store procedures, user defined functions. So I think they what they've done is extremely interesting. Uh, iceberg by itself still does not have multi table transactional capabilities. So if I'm running a workload, I might be touching 10 different tables. So if I use Apache iceberg in a raw format, they don't have it. But snowflake does, >>right? There's hence the delta. And maybe that maybe that closes over time. I want to ask you as you look around this I mean the ecosystems pretty vibrant. I mean, it reminds me of, like reinvent in 2013, you know? But then I'm struck by the complexity of the last big data era and a dupe and all the different tools. And is this different, or is it the sort of same wine new new bottle? You guys have any thoughts on that? >>I think it's different and I'll tell you why. I think it's different because it's based around sequel. So if back to Tony's point, these vendors are coming at this from different angles, right? You've got data warehouse vendors and you've got data lake vendors and they're all going to meet in the middle. So in your case, you're taught operational analytical. But the same thing is true with Data Lake and Data Warehouse and Snowflake no longer wants to be known as the Data Warehouse. There a data cloud and our research again. I like to base everything off of that. >>I love what our >>research shows that organisation Two thirds of organisations have sequel skills and one third have big data skills, so >>you >>know they're going to meet in the middle. But it sure is a lot easier to bring along those people who know sequel already to that midpoint than it is to bring big data people to remember. >>Mrr Odula, one of the founders of Cloudera, said to me one time, John Kerry and the Cube, that, uh, sequel is the killer app for a Yeah, >>the difference at this, you know, with with snowflake, is that you don't have to worry about taming the zoo. Animals really have thought out the ease of use, you know? I mean, they thought about I mean, from the get go, they thought of too thin to polls. One is ease of use, and the other is scale. And they've had. And that's basically, you know, I think very much differentiates it. I mean, who do have the scale, but it didn't have the ease of use. But don't I >>still need? Like, if I have, you know, governance from this vendor or, you know, data prep from, you know, don't I still have to have expertise? That's sort of distributed in those those worlds, right? I mean, go ahead. Yeah. >>So the way I see it is snowflake is adding more and more capabilities right into the database. So, for example, they've they've gone ahead and added security and privacy so you can now create policies and do even set level masking, dynamic masking. But most organisations have more than snowflake. So what we are starting to see all around here is that there's a whole series of data catalogue companies, a bunch of companies that are doing dynamic data masking security and governance data observe ability, which is not a space snowflake has gone into. So there's a whole ecosystem of companies that that is mushrooming, although, you know so they're using the native capabilities of snowflake, but they are at a level higher. So if you have a data lake and a cloud data warehouse and you have other, like relational databases, you can run these cross platform capabilities in that layer. So so that way, you know, snowflakes done a great job of enabling that ecosystem about >>the stream lit acquisition. Did you see anything here that indicated there making strong progress there? Are you excited about that? You're sceptical. Go ahead. >>And I think it's like the last mile. Essentially. In other words, it's like, Okay, you have folks that are basically that are very, very comfortable with tableau. But you do have developers who don't want to have to shell out to a separate tool. And so this is where Snowflake is essentially working to address that constituency, um, to San James Point. I think part of it, this kind of plays into it is what makes this different from the ado Pere is the fact that this all these capabilities, you know, a lot of vendors are taking it very seriously to make put this native obviously snowflake acquired stream. Let's so we can expect that's extremely capabilities are going to be native. >>And the other thing, too, about the Hadoop ecosystem is Claudia had to help fund all those different projects and got really, really spread thin. I want to ask you guys about this super cloud we use. Super Cloud is this sort of metaphor for the next wave of cloud. You've got infrastructure aws, azure, Google. It's not multi cloud, but you've got that infrastructure you're building a layer on top of it that hides the underlying complexities of the primitives and the a p I s. And you're adding new value in this case, the data cloud or super data cloud. And now we're seeing now is that snowflake putting forth the notion that they're adding a super path layer. You can now build applications that you can monetise, which to me is kind of exciting. It makes makes this platform even less discretionary. We had a lot of talk on Wall Street about discretionary spending, and that's not discretionary. If you're monetising it, um, what do you guys think about that? Is this something that's that's real? Is it just a figment of my imagination, or do you see a different way of coming any thoughts on that? >>So, in effect, they're trying to become a data operating system, right? And I think that's wonderful. It's ambitious. I think they'll experience some success with that. As I said, applications are important. That's a great way to deliver information. You can monetise them, so you know there's there's a good economic model around it. I think they will still struggle, however, with bringing everything together onto one platform. That's always the challenge. Can you become the platform that's hard, hard to predict? You know, I think this is This is pretty exciting, right? A lot of energy, a lot of large ecosystem. There is a network effect already. Can they succeed in being the only place where data exists? You know, I think that's going to be a challenge. >>I mean, the fact is, I mean, this is a classic best of breed versus the umbrella play. The thing is, this is nothing new. I mean, this is like the you know, the old days with enterprise applications were basically oracle and ASAP vacuumed up all these. You know, all these applications in their in their ecosystem, whereas with snowflake is. And if you look at the cloud, folks, the hyper scale is still building out their own portfolios as well. Some are, You know, some hyper skills are more partner friendly than others. What? What Snowflake is saying is that we're going to give all of you folks who basically are competing against the hyper skills in various areas like data catalogue and pipelines and all that sort of wonderful stuff will make you basically, you know, all equal citizens. You know the burden is on you to basically we will leave. We will lay out the A P. I s Well, we'll allow you to basically, you know, integrate natively to us so you can provide as good experience. But the but the onus is on your back. >>Should the ecosystem be concerned, as they were back to reinvent 2014 that Amazon was going to nibble away at them or or is it different? >>I find what they're doing is different. Uh, for example, data sharing. They were the first ones out the door were data sharing at a large scale. And then everybody has jumped in and said, Oh, we also do data sharing. All the hyper scholars came in. But now what snowflake has done is they've taken it to the next level. Now they're saying it's not just data sharing. It's up sharing and not only up sharing. You can stream the thing you can build, test deploy, and then monetise it. Make it discoverable through, you know, through your marketplace >>you can monetise it. >>Yes. Yeah, so So I I think what they're doing is they are taking it a step further than what hyper scale as they are doing. And because it's like what they said is becoming like the data operating system You log in and you have all of these different functionalities you can do in machine learning. Now you can do data quality. You can do data preparation and you can do Monetisation. Who do you >>think is snowflakes? Biggest competitor? What do you guys think? It's a hard question, isn't it? Because you're like because we all get the we separate computer from storage. We have a cloud data and you go, Okay, that's nice, >>but there's, like, a crack. I think >>there's uniqueness. I >>mean, put it this way. In the old days, it would have been you know, how you know the prime household names. I think today is the hyper scholars and the idea what I mean again, this comes down to the best of breed versus by, you know, get it all from one source. So where is your comfort level? Um, so I think they're kind. They're their co op a Titian the hyper scale. >>Okay, so it's not data bricks, because why they're smaller. >>Well, there is some okay now within the best of breed area. Yes, there is competition. The obvious is data bricks coming in from the data engineering angle. You know, basically the snowflake coming from, you know, from the from the data analyst angle. I think what? Another potential competitor. And I think Snowflake, basically, you know, admitted as such potentially is mongo >>DB. Yeah, >>Exactly. So I mean, yes, there are two different levels of sort >>of a on a longer term collision course. >>Exactly. Exactly. >>Sort of service now and in salesforce >>thing that was that we actually get when I say that a lot of people just laughed. I was like, No, you're kidding. There's no way. I said Excuse me, >>But then you see Mongo last week. We're adding some analytics capabilities and always been developers, as you say, and >>they trashed sequel. But yet they finally have started to write their first real sequel. >>We have M c M Q. Well, now we have a sequel. So what >>were those numbers, >>Dave? Two thirds. One third. >>So the hyper scale is but the hyper scale urz are you going to trust your hyper scale is to do your cross cloud. I mean, maybe Google may be I mean, Microsoft, perhaps aws not there yet. Right? I mean, how important is cross cloud, multi cloud Super cloud Whatever you want to call it What is your data? >>Shows? Cloud is important if I remember correctly. Our research shows that three quarters of organisations are operating in the cloud and 52% are operating across more than one cloud. So, uh, two thirds of the organisations are in the cloud are doing multi cloud, so that's pretty significant. And now they may be operating across clouds for different reasons. Maybe one application runs in one cloud provider. Another application runs another cloud provider. But I do think organisations want that leverage over the hyper scholars right they want they want to be able to tell the hyper scale. I'm gonna move my workloads over here if you don't give us a better rate. Uh, >>I mean, I I think you know, from a database standpoint, I think you're right. I mean, they are competing against some really well funded and you look at big Query barely, you know, solid platform Red shift, for all its faults, has really done an amazing job of moving forward. But to David's point, you know those to me in any way. Those hyper skills aren't going to solve that cross cloud cloud problem, right? >>Right. No, I'm certainly >>not as quickly. No. >>Or with as much zeal, >>right? Yeah, right across cloud. But we're gonna operate better on our >>Exactly. Yes. >>Yes. Even when we talk about multi cloud, the many, many definitions, like, you know, you can mean anything. So the way snowflake does multi cloud and the way mongo db two are very different. So a snowflake says we run on all the hyper scalar, but you have to replicate your data. What Mongo DB is claiming is that one cluster can have notes in multiple different clouds. That is right, you know, quite something. >>Yeah, right. I mean, again, you hit that. We got to go. But, uh, last question, um, snowflake undervalued, overvalued or just about right >>in the stock market or in customers. Yeah. Yeah, well, but, you know, I'm not sure that's the right question. >>That's the question I'm asking. You know, >>I'll say the question is undervalued or overvalued for customers, right? That's really what matters. Um, there's a different audience. Who cares about the investor side? Some of those are watching, but But I believe I believe that the from the customer's perspective, it's probably valued about right, because >>the reason I I ask it, is because it has so hyped. You had $100 billion value. It's the past service now is value, which is crazy for this student Now. It's obviously come back quite a bit below its IPO price. So But you guys are at the financial analyst meeting. Scarpelli laid out 2029 projections signed up for $10 billion.25 percent free time for 20% operating profit. I mean, they better be worth more than they are today. If they do >>that. If I If I see the momentum here this week, I think they are undervalued. But before this week, I probably would have thought there at the right evaluation, >>I would say they're probably more at the right valuation employed because the IPO valuation is just such a false valuation. So hyped >>guys, I could go on for another 45 minutes. Thanks so much. David. Tony Sanjeev. Always great to have you on. We'll have you back for sure. Having us. All right. Thank you. Keep it right there. Were wrapping up Day two and the Cube. Snowflake. Summit 2022. Right back. Mm. Mhm.

>>Mhm Welcome back to Los Angeles. The Cubans live, I can't say that enough. The Cubans live. We're at cu con cloud Native Con 21. We've been here all day yesterday and today and tomorrow talking with lots of gas. Really uncovering what's going on in the world of kubernetes, lisa martin here with Dave Nicholson. We've got some folks. Next we're gonna be talking about a customer use case, which is always one of my favorite things to talk about. Please welcome Michael Coletti, the principal platform engineer at CHG Healthcare and then cat from a christian VP of products from port works by pure storage. Guys, welcome to the program, Thank you. Happy to be here. Yeah. So Michael, first of all, let's go ahead and start with you, give the audience an overview of CHG healthcare. >>Yeah, so CHG Healthcare were a staffing company so we sure like a locum pen and so our clients are doctors and hospitals, so we help staff hospitals with temporary doctors or even permanent placing. So we deal with a lot of doctors, a lot of nursing and we're were a combination of multiple companies to see if she is the parents. So and uh yeah, we're known in the industry is one of the leaders in this, this field and providing uh hospitals with high quality uh doctors and nurses and uh you know, our customer services like number one and one of these are Ceos really focused on is now how do we make that more digital, how we provide that same level of quality of service, but a digital experience as rich for >>I can imagine there was a massive need for that in the last 18 months alone. >>Covid definitely really raised that awareness out for us and the importance of that digital experience and that we need to be out there in the digital market. >>Absolutely. So your customer report works by pure storage, we're gonna get into that. But then can talk to us about what's going on. The acquisition of port works by peer storage was about a year ago I talked to us about your VP of product, what's going on? >>Yeah, I mean, you know, first of all, I think I could not say how much of a great fit for a port works to be part of your storage. It's uh uh Pure itself is a very fast moving large start up that's a dominant leader in a flash and data center space. And you know, pure recognizes the fact that Cuban it is is the new operating system of the cloud is now how you know, it's kind of virtualizing the cloud itself and there is a, you know, a big burgeoning need for data management in communities and how you can kind of orchestrate work lords between your on prem data centers in the cloud and back. So port books fits right into the story as complete vision of data management for our customers and uh spend phenomenal or business has grown as part of being part of Pure and uh you know, we're looking at uh launching some new products as well and it's all exciting times. >>So you must have been pretty delighted to be acquired as a startup by essentially a startup because because although pure has reached significant milestones in the storage business and is a leader in flash storage still, that, that startup mindset is there, that's unique, that's not, that's not the same as being acquired by a company that's been around for 100 years seeking to revitalize >>itself. Can >>you talk a little bit about that >>aspect? So I think it will uh, Purest culture is highly innovation driven and it's a very open flat culture. Right? I mean everybody impure is accessible, it can easily have a conversation with folks and everybody has his learning mindset and Port works is and has always been in the same way. Right? So when you put these teams together, if we can create wonders, I mean we, right after that position, just within a few months we announced an integrated solution that Port works orchestrates volumes and she file shares in Pure flash products and then delivers as an integrated solution for our customers. And Pure has a phenomenal uh, cloud based monitoring and management system called Pure one that we integrated well into. Now we're bringing the power of all of the observe ability that Purest customers are used to for all of the partners customers and having super happy, you know, delivering that capability to our customers and our customers are delighted now they can have a complete view all the way from community is an >>app to the >>flash and I don't think any one company on the planet can even climb, they can do that. >>I think, I think it's fair to acknowledge that pure one was observe ability before observe ability was a word. Exactly one used regularly. So that's very interesting. >>I could talk to us about obviously you are a customer CHD as a customer of court works now Port works by peer storage. Talk to us about the use case, what what was the compelling? It was their compelling event and from a storage perspective that that led you to Port works in the >>first so we be, they began this our Ceo basically in the vision, we we need to have a digital presence, we need and hazards and this was even before Covid, so they brought me on board and my my manager read uh glass or he we basically had this task to how are we going to get out into the cloud, how we're going to make that happen And we we chose to follow very much cloud native strategy and the platform of choice. I mean it just made sense with kubernetes and so when we were looking at kubernetes, we're starting to figure out how we're doing, we knew that data is going to be a big factor, you know, um being to provide data, we're very much focused on an event driven, were really pushing to event driven architecture. So we leverage Kafka on top of kubernetes, but at the time we were actually leveraging Kafka with M S K down out in a W S and that was just a huge cost to us. So I came on board, I had experienced with poor works prior company before that and I basically said we need to figure out a great storage away overlay. And the only way to do is we gotta have high performance storage, we've got to have secure, we gotta be able to back up and recover that storage and the poor works was the right match and that allowed us to have a very smooth transition off of M S K onto kubernetes, saving us, it's a significant amount of money per month and just leverage that already existing hardware that are existing, compute memory and just in the and move right to port works, >>leveraging your existing investments. >>Exactly which is key. Very, very key. So, >>so been kept, how common are the challenges that when you guys came together with the HD, how common are the challenges? It's actually, >>that's a great question, you know, this is, I'll tell you the challenges that Michael and his team are running into is what we see a lot in the, in the industry where people pay a ton of money, you know, to, you know, to to other vendors or especially in some cases use some cloud native services, but they want to have control over the data. They want to control the cost and they want higher performance and they want to have, you know, there's also governance and regulatory things that they need to control better. So they want to kind of bring these services and have more control over them. Right? So now we will work very well with all of our partners including the cloud providers as well as uh, you know, an from several vendors and everybody but different customers are different kinds of needs and port works gives them the flexibility if you are a customer who want, you know, have a lot of control over your applications, the performance of the agency and want to control cars very well in leveraging existing investments board works can deliver that for you in your data center right now you can integrate it with pure slash and you get a complete solution or you won't run it in cloud and you still want to have leverage the agility of the cloud and scale for books delivers a solution for you as well. So it kind of not only protects their investment in future proves their architecture, you get future proving your architecture completely. So if you want to tear the cloud or burst the cloud, you have a great solution that you can continue to leverage >>when you hear a future proof and I'm a marketer. So I always go, I love to know what it means to different people, what does that mean to you in your environment? >>My environment. So a future proof means like one of the things we've been addressing lately, that's just a real big challenge and I'm sure it's a challenge in the industry, especially Q and A's is upgrading our clusters ability to actually maintain a consistent flow with how fast kubernetes is growing, you know, they they're out I think yes, we leverage eks so it's like 1 21 or 1 22 now, uh that effort to upgrade a cluster, it can be a daunting one with port works. We actually were able to make that to where we could actually spin up a brand new cluster and with port work shift, all our application services, data migrated completely over poor works, handles all that for us and stand up that new cluster in less than a day. And that effort, it would take us a week, two weeks to do so not even man hours the time spent there, but just the reliability of being able to do that and the cost, you know, instead of standing up a new cluster and configuring it and doing all that and spending all that time, we can just really, we move to what we call blue green cut over strategy and port works is an essential piece of that. >>So is it fair to say that there are a variety of ways that people approach port works from a, from a value perspective in terms of, I I know that one area that you are particularly good in is the area of backups in this environment, but then you get data management and there's a third kind of vector there. What is the third vector? >>Yeah, it's all of the data services. Data services, like for example, database as a service on any kubernetes cluster paid on your cloud or you're on from data centers, which >>data, what kind of databases >>you were talking about? Anything from Red is Kafka Postgres, my sequel, you know, council were supporting, we just announced something called port books, data services offering that essentially delivers all these databases as a service on any kubernetes cluster uh that that a customer can point to unless than kind of get the automated management of the database on day one to day three, the entire life cycle. Um you know, through regular communities, could curdle experience through Api and SDK s and a nice slick ui that they can, you know, just role based access control and all of that, that they can completely control their data and their applications through it. And, you know, that's the third vector of potatoes Africans >>like a question for you. So what works has been a part of peer storage? You've known it since obviously for several years before you were a c h G, you brought up to see H G, you now know it a year into being acquired by a fast paced startup. Talk to me about the relationship and some of the benefits that you're getting with port works as a part of pure storage. >>Well, I mean one of the things, you know, when, when I heard about the accusation, my first thing was I was a little bit concerned is that relationship going to change and when we were acquiring, when we're looking at a doctor and Poor works, One thing I would tell my management is poor works is not just a vendor that wants to throw a solution on you and provide some capability there, partner, they want to partner with you and your success in your journey and this whole cloud native journey to provide this rich digital experience for not only our platform engineering team, but our dev teams, but also be able to really accelerate the development of our services so we can provide that digital portal for our end users and that didn't change. If anything that accelerated that that relationship did not change. You know, I came to the cat with an issue we just, we're dealing with, he immediately got someone on the phone call with me and so that has not changed. So it's really exciting to see that now that they've been acquired that they still are very much invested in the success of their customers and making sure we're successful. You know, it's not all of a sudden I was worried I was gonna have to do a whole different support process and it's gonna go into a black hole didn't happen. They still are very much involved with their customers. And >>that sounds kind of similar to what you talked about with the cultural alignment I've known here for a long time and they're very customer centric. Sounds like one of the areas in which there was a very strong alignment with port works. >>Absolutely important works has always taken pride in being customer. First company. Our founders are heavily customer focused. Uh, you know, they are aligned. They want, they have always aligned uh, the portraits business to our customers needs. Uh Pure is a company that's men. I actually focused on customers, right? I mean, that's all, you know, purist founder cause and everybody care about and so, you know, bringing these companies together and being part of the pure team. I kind of see how synergistic it is. And you know, we have, you know, that has enabled us to serve our customers customers even better than before. >>So, I'm curious about the two of you personally, in terms of your histories, I'm going to assume that you didn't both just bounce out of high school into the world of kubernetes, right? So like lisa and I your spanning the generations between the world of, say, virtualization based on X 86 architecture and virtualization where you can have microservices, you have a full blown operating system that you're working with, that kind of talk about, you know, Michael with you first talk about what that's been like navigating that change. We were in the midst of that, Do you have advice for others that are navigating that change? >>Don't be afraid of it, you know, a lot of people want to, you know, I call it, we're moving from where we're uh naming, we still have cats and dogs, they have a name, the VMS either whether or not their physical boxes or their VMS to where it's more like it's a cattle, you know, it's like we don't own the Os and not to be afraid afraid of that because change is really good. You know, the ability for me to not have to worry about patching and operating system is huge, you know, where I can rely on someone like the chaos and and the version and allow them to, if CV comes out, they let me know I go and I use their tools to be able to upgrade. So I don't have to literally worry about owning that Os and continues the same thing. You know, you, you, you know, it's all about being fault tolerant, right? And being able to be changed where you can actually brought a new version of a container, a base image with a lot of these without having to go and catch a bunch of servers, I mean patch night was held, I'm sorry if I could say that, but it was a nightmare, you know, but this whole world has just been a game changer >>with that. So Van cut from your perspective, you were coming at it, going into a startup, looking at the landscape in the future and seeing opportunity, um what what what's that been like for you? I guess the question for you is more something lisa and I talk about this concept of peak kubernetes, where are we in the wave, is this just is this just the beginning, are we in the thick of it? >>Yeah, I think I would say we're kind of transitioning from earlier doctors too early majority face in the whole, you know, um crossing the chasm analogy. Right, so uh I would say we're still the early stages of this big wave that's going to transform how infrastructure is built, apps are, apps are built and managed and run in production. Um I think some of the uh pieces, the key pieces are falling in place and maturing, uh there are some other pieces like observe ability and security, uh you know, kind of edge use cases need to be, you know, they're kind of going to get a lot more mature and you'll see that the cloud as we know today and the apps as we know today, they're going to be radically different and you know, if you're not building your apps and your business on this modern platform, on this modern infrastructure, you're gonna be left behind. Um, you know, I, my wife's birthday was a couple of days ago. I was telling this story a couple of friends is that I r I used another flowers delivery website. Uh they missed delivering the flowers on the same day, right? So when they told me all kinds of excuses, then I just went and looked up, you know, like door dash, which delivers uh, you know, and then, you know, like your food, but there's also flower delivery, indoor dash and I don't do it, I door dash flowers to her and I can track the flower does all the way she did not eat them, okay, You need them. But my kids love the chocolates though. So, you know, the case in point is that you cannot be, you know, building a modern business without leveraging the moral toolchain and modern toolchain and how the business is going to be delivered. That that thing is going to be changing dramatically. And those kind of customer experience, if you don't deliver, uh, you're not gonna be successful in business and communities is the fundamental technology that enables these containers. It's a fundamental piece of technology that enables building new businesses, you know, modernizing existing businesses and the five G is gonna be, there's gonna be new innovations that's going to get unleashed. And uh, again, communities and containers enable us to leverage those. And so we're still scratching the surface on this, it's big now, it's going to be much, much bigger as we go to the next couple of years. >>Speaking of scratching the surface, Michael, take us out in the last 30 seconds or so with where CHG healthcare is on its digital transformation. How is port works facilitating that? >>So we're right in the thick of it. I mean we are we still have what we call the legacy, we're working on getting those. But I mean we're really moving forward um to provide that rich experience, especially with inventing driven platforms like Kafka and Kubernetes and partnering with port works is one of the key things for us with that and a W s along with that. But we're, and I remember I heard a talk and I can't, I can't remember me but he he talked about how, how kubernetes just sort of like 56 K. Modem, You're hearing it, see, but it's got to get to the point where it's just there, it's just the high speed internet and Kelsey Hightower, That's who Great. Yeah, and I really like that because that's true, you know, and that's where we're on that transition, where we're still early, it's still that 50. So you still want to hear a note, you still want to do cube Cto, you want to learn it the hard way and do all that fun stuff, but eventually it's gonna be where it's just, it's just there and it's running everything like five G. I mean stripped down doing Micro K. It's things like that, you know, we're gonna see it in a lot of other areas and just proliferate and really accelerate uh the industry and compute and memory and, and storage and >>yeah, a lot of acceleration guys, thank you. This has been a really interesting session. I always love digging into customer use cases how C H. G is really driving its evolution with port works Venkat. Thanks for sharing with us. What's going on with port works a year after the acquisition. It sounds like all good stuff. >>Thank you. Thanks for having us. It's been fun, our >>pleasure. Alright for Dave Nicholson. I'm lisa martin. You're watching the cube live from Los Angeles. This is our coverage of Yukon cloud native Con 21 mhm

>>Yeah. >>Hello. Welcome to the Special Cube conversation here in Palo Alto, California. I'm John for a host of the Cube. We have a conversation around a I for the enterprise. What this means I got two great guests. John Finelli, Vice President, virtual GPU at NVIDIA and Maurizio D V D C T o University of Pisa in Italy. Uh, Practitioner, customer partner, um, got VM world coming up. A lot of action happening in the enterprise. John. Great to see you. Nice to meet you. Remotely coming in from Italy for this remote. >>John. Thanks for having us on again. >>Yeah. Nice to meet >>you. I wish we could be in person face to face, but that's coming soon. Hopefully, John, you were talking. We were just talking about before we came on camera about AI for the enterprise. And the last time I saw you in person was in Cuba interview. We were talking about some of the work you guys were doing in AI. It's gotten so much stronger and broader and the execution of an video, the success you're having set the table for us. What is the ai for the enterprise conversation frame? >>Sure. So, um, we, uh we've been working with enterprises today on how they can deliver a I or explore AI or get involved in a I, um uh, in a standard way in the way that they're used to managing and operating their data centre. Um, writing on top of you know, they're Dell servers with B M or V sphere. Um, so that AI feels like a standard workload that night organisation can deliver to their engineers and data scientists. And then the flip side of that, of course, is ensuring that engineers and data scientists get the workloads position to them or have access to them in the way that they need them. So it's no longer a trouble ticket that you have to submit to, I t and you know, count the hours or days or weeks until you you can get new hardware, right By being able to pull it into the mainstream data centre. I can enable self service provisioning for those folks. So we actually we make a I more consumable or easier to manage for I t administrators and then for the engineers and the data scientists, etcetera. We make it easy for them to get access to those resources so they can get to their work right away. >>Quite progress in the past two years. Congratulations on that and looking. It's only the beginning is Day one Mercy. I want to ask you about what's going on as the CTO University piece of what's happening down there. Tell us a little bit about what's going on. You have the centre of excellence there. What does that mean? What does that include? >>Uh, you know, uh, University of Peace. Are you one of one of the biggest and oldest in Italy? Uh, if you have to give you some numbers is around 50 K students and 3000 staff between, uh, professors resurgence and that cabinet receive staff. So I we are looking into data operation of the centres and especially supports for scientific computing. And, uh, this is our our daily work. Let's say this, uh, taking us a lot of times, but, you know, we are able to, uh, reserve a merchant percentage of our time, Uh, for r and D, And this is where the centre of excellence is, Uh, is coming out. Uh, so we are always looking into new kinds of technologies that we can put together to build new solutions to do next generation computing gas. We always say we are looking for the right partners to do things together. And at the end of the day is the work that is good for us is good for our partners and typically, uh, ends in a production system for our university. So is the evolution of the scientific computing environment that we have. >>Yeah. And you guys have a great track record and reputation of, you know, R and D, testing software, hardware combinations and sharing those best practises, you know, with covid impact in the world. Certainly we see it on the supply chain side. Uh, and John, we heard Jensen, your CEO and video talk multiple keynotes. Now about software, uh, and video being a software company. Dell, you mentioned Dale and VM Ware. You know, Covid has brought this virtualisation world back. And now hybrid. Those are words that we used basically in the text industry. Now it's you're hearing hybrid and virtualisation kicked around in real world. So it's ironic that vm ware and El, uh, and the Cube eventually all of us together doing more virtual stuff. So with covid impacting the world, how does that change you guys? Because software is more important. You gotta leverage the hardware you got, Whether it's Dell or in the cloud, this is a huge change. >>Yeah. So, uh, as you mentioned organisations and enterprises, you know, they're looking at things differently now, Um, you know, the idea of hybrid. You know, when you talk to tech folks and we think about hybrid, we always think about you know, how the different technology works. Um, what we're hearing from customers is hybrid, you know, effectively translates into, you know, two days in the office, three days remote, you know, in the future when they actually start going back to the office. So hybrid work is actually driving the need for hybrid I t. Or or the ability to share resources more effectively. Um, And to think about having resources wherever you are, whether you're working from home or you're in the office that day, you need to have access to the same resources. And that's where you know the the ability to virtualize those resources and provide that access makes that hybrid part seamless >>mercy What's your world has really changed. You have students and faculty. You know, Things used to be easy in the old days. Physical in this network. That network now virtual there. You must really be having him having impact. >>Yeah, we have. We have. Of course. As you can imagine, a big impact, Uh, in any kind of the i t offering, uh, from, uh, design new networking technologies, deploying new networking technologies, uh, new kind of operation we find. We found it at them. We were not able anymore to do burr metal operations directly, but, uh, from the i t point of view, uh, we were how can I say prepared in the sense that, uh, we ran from three or four years parallel, uh, environment. We have bare metal and virtual. So as you can imagine, traditional bare metal HPC cluster D g d g X machines, uh, multi GPU s and so on. But in parallel, we have developed, uh, visual environment that at the beginning was, as you can imagine, used, uh, for traditional enterprise application, or VD. I, uh, we have a significant significant arise on a farm with the grid for remote desktop remote pull station that we are using for, for example, uh, developing a virtual classroom or visual go stations. And so this is was typical the typical operation that we did the individual world. But in the same infrastructure, we were able to develop first HPC individual borders of utilisation of the HPC resources for our researchers and, uh, at the end, ai ai offering and ai, uh, software for our for our researchers, you can imagine our vehicle infrastructure as a sort of white board where we are able to design new solution, uh, in a fast way without losing too much performance. And in the case of the AI, we will see that we the performance are almost the same at the bare metal. But with all the flexibility that we needed in the covid 19 world and in the future world, too. >>So a couple things that I want to get John's thoughts as well performance you mentioned you mentioned hybrid virtual. How does VM Ware and NVIDIA fit into all this as you put this together, okay, because you bring up performance. That's now table stakes. He's leading scale and performance are really on the table. everyone's looking at it. How does VM ware an NVIDIA John fit in with the university's work? >>Sure. So, um, I think you're right when it comes to, uh, you know, enterprises or mainstream enterprises beginning their initial foray into into a I, um there are, of course, as performance in scale and also kind of ease of use and familiarity are all kind of things that come into play in terms of when an enterprise starts to think about it. And, um, we have a history with VM Ware working on this technology. So in 2019, we introduced our virtual compute server with VM Ware, which allowed us to effectively virtual is the Cuda Compute driver at last year's VM World in 2020 the CEOs of both companies got together and made an announcement that we were going to bring a I R entire video AI platform to the Enterprise on top of the sphere. And we did that, Um, starting in March this year, we we we finalise that with the introduction of GM wears V, Sphere seven, update two and the early access at the time of NVIDIA ai Enterprise. And, um, we have now gone to production with both of those products. And so customers, Um, like the University of Pisa are now using our production capabilities. And, um, whenever you virtualize in particular and in something like a I where performances is really important. Um, the first question that comes up is, uh doesn't work and And how quickly does it work Or or, you know, from an I t audience? A lot of times you get the How much did it slow down? And and and so we We've worked really closely from an NVIDIA software perspective and a bm wear perspective. And we really talk about in media enterprise with these fair seven as optimist, certified and supported. And the net of that is, we've been able to run the standard industry benchmarks for single node as well as multi note performance, with about maybe potentially a 2% degradation in performance, depending on the workload. Of course, it's very different, but but effectively being able to trade that performance for the accessibility, the ease of use, um, and even using things like we realise, automation for self service for the data scientists, Um and so that's kind of how we've been pulling it together for the market. >>Great stuff. Well, I got to ask you. I mean, people have that reaction of about the performance. I think you're being polite. Um, around how you said that shows the expectation. It's kind of sceptical, uh, and so I got to ask you, the impact of this is pretty significant. What is it now that customers can do that? They couldn't or couldn't feel they had before? Because if the expectations as well as it worked well, I mean, there's a fast means. It works, but like performance is always concerned. What's different now? What what's the bottom line impact on what country do now that they couldn't do before. >>So the bottom line impact is that AI is now accessible for the enterprise across there. Called their mainstream data centre, enterprises typically use consistent building blocks like the Dell VX rail products, right where they have to use servers that are common standard across the data centre. And now, with NVIDIA Enterprise and B M R V sphere, they're able to manage their AI in the same way that they're used to managing their data centre today. So there's no retraining. There's no separate clusters. There isn't like a shadow I t. So this really allows an enterprise to efficiently deploy um, and cost effectively Deploy it, uh, it without because there's no performance degradation without compromising what their their their data scientists and researchers are looking for. And then the flip side is for the data science and researcher, um, using some of the self service automation that I spoke about earlier, they're able to get a virtual machine today that maybe as a half a GPU as their models grow, they do more exploring. They might get a full GPU or or to GPS in a virtual machine. And their environment doesn't change because it's all connected to the back end storage. And so for the for the developer and the researcher, um, it makes it seamless. So it's really kind of a win for both Nike and for the user. And again, University of Pisa is doing some amazing things in terms of the workloads that they're doing, Um, and, uh and, uh, and are validating that performance. >>Weigh in on this. Share your opinion on or your reaction to that, What you can do now that you couldn't do before. Could you share your experience? >>Our experience is, uh, of course, if you if you go to your, uh, data scientists or researchers, the idea of, uh, sacrificing four months to flexibility at the beginning is not so well accepted. It's okay for, uh, for the Eid management, As John was saying, you have people that is know how to deal with the virtual infrastructure, so nothing changed for them. But at the end of the day, we were able to, uh, uh, test with our data. Scientists are researchers veteran The performance of us almost similar around really 95% of the performance for the internal developer developer to our work clothes. So we are not dealing with benchmarks. We have some, uh, work clothes that are internally developed and apply to healthcare music generator or some other strange project that we have inside and were able to show that the performance on the beautiful and their metal world were almost the same. We, the addition that individual world, you are much more flexible. You are able to reconfigure every finger very fast. You are able to design solution for your researcher, uh, in a more flexible way. An effective way we are. We were able to use the latest technologies from Dell Technologies and Vidia. You can imagine from the latest power edge the latest cuts from NVIDIA. The latest network cards from NVIDIA, like the blue Field to the latest, uh, switches to set up an infrastructure that at the end of the day is our winning platform for our that aside, >>a great collaboration. Congratulations. Exciting. Um, get the latest and greatest and and get the new benchmarks out their new playbooks. New best practises. I do have to ask you marriage, if you don't mind me asking why Look at virtualizing ai workloads. What's the motivation? Why did you look at virtualizing ai work clothes? >>Oh, for the sake of flexibility Because, you know, uh, in the latest couple of years, the ai resources are never enough. So we are. If you go after the bare metal, uh, installation, you are going into, uh, a world that is developing very fastly. But of course, you can afford all the bare metal, uh, infrastructure that your data scientists are asking for. So, uh, we decided to integrate our view. Dual infrastructure with AI, uh, resources in order to be able to, uh, use in different ways in a more flexible way. Of course. Uh, we have a We have a two parallels world. We still have a bare metal infrastructure. We are growing the bare metal infrastructure. But at the same time, we are growing our vehicle infrastructure because it's flexible, because we because our our stuff, people are happy about how the platform behaviour and they know how to deal them so they don't have to learn anything new. So it's a sort of comfort zone for everybody. >>I mean, no one ever got hurt virtualizing things that makes it makes things go better faster building on on that workloads. John, I gotta ask you, you're on the end video side. You You see this real up close than video? Why do people look at virtualizing ai workloads is the unification benefit. I mean, ai implies a lot of things, implies you have access to data. It implies that silos don't exist. I mean, that doesn't mean that's hard. I mean, is this real people actually looking at this? How is it working? >>Yeah. So? So again, um you know for all the benefits and activity today AI brings a I can be pretty complex, right? It's complex software to set up and to manage. And, um, within the day I enterprise, we're really focusing in on ensuring that it's easier for organisations to use. For example Um, you know, I mentioned you know, we we had introduced a virtual compute server bcs, um uh, two years ago and and that that has seen some some really interesting adoption. Some, uh, enterprise use cases. But what we found is that at the driver level, um, it still wasn't accessible for the majority of enterprises. And so what we've done is we've built upon that with NVIDIA Enterprise and we're bringing in pre built containers that remove some of the complexities. You know, AI has a lot of open source components and trying to ensure that all the open source dependencies are resolved so you can get the AI developers and researchers and data scientists. Actually doing their work can be complex. And so what we've done is we've brought these pre built containers that allow you to do everything from your initial data preparation data science, using things like video rapids, um, to do your training, using pytorch and tensorflow to optimise those models using tensor rt and then to deploy them using what we call in video Triton Server Inference in server. Really helping that ai loop become accessible, that ai workflow as something that an enterprise can manage as part of their common core infrastructure >>having the performance and the tools available? It's just a huge godsend people love. That only makes them more productive and again scales of existing stuff. Okay, great stuff. Great insight. I have to ask, What's next one's collaboration? This is one of those better together situations. It's working. Um, Mauricio, what's next for your collaboration with Dell VM Ware and video? >>We will not be for sure. We will not stop here. Uh, we are just starting working on new things, looking for new development, uh, looking for the next beast. Come, uh, you know, the digital world is something that is moving very fast. Uh, and we are We will not We will not stop here because because they, um the outcome of this work has been a very big for for our research group. And what John was saying This the fact that all the software stock for AI are simplified is something that has been, uh, accepted. Very well, of course you can imagine researching is developing new things. But for people that needs, uh, integrated workflow. The work that NVIDIA has done in the development of software package in developing containers, that gives the end user, uh, the capabilities of running their workloads is really something that some years ago it was unbelievable. Now, everything is really is really easy to manage. >>John mentioned open source, obviously a big part of this. What are you going to? Quick, Quick follow if you don't mind. Are you going to share your results so people can can look at this so they can have an easier path to AI? >>Oh, yes, of course. All the all the work, The work that is done at an ideal level from University of Visa is here to be shared. So we we as, uh, as much as we have time to write down we are. We are trying to find a way to share the results of the work that we're doing with our partner, Dell and NVIDIA. So for sure will be shared >>well, except we'll get that link in the comments, John, your thoughts. Final thoughts on the on the on the collaboration, uh, with the University of Pisa and Delvian, where in the video is is all go next? >>Sure. So So with University of Pisa, We're you know, we're absolutely, uh, you know, grateful to Morocco and his team for the work they're doing and the feedback they're sharing with us. Um, we're learning a lot from them in terms of things we can do better and things that we can add to the product. So that's a fantastic collaboration. Um, I believe that Mauricio has a session at the M World. So if you want to actually learn about some of the workloads, um, you know, they're doing, like, music generation. They're doing, you know, covid 19 research. They're doing deep, multi level, uh, deep learning training. So there's some really interesting work there, and so we want to continue that partnership. University of Pisa, um, again, across all four of us, uh, university, NVIDIA, Dell and VM Ware. And then on the tech side, you know, for our enterprise customers, um, you know, one of the things that we actually didn't speak much about was, um I mentioned that the product is optimised certified and supported, and I think that support cannot be understated. Right? So as enterprises start to move into these new areas, they want to know that they can pick up the phone and call in video or VM ware. Adele, and they're going to get support for these new workloads as they're running them. Um, we were also continuing, uh, you know, to to think about we spent a lot of time today on, like, the developer side of things and developing ai. But the flip side of that, of course, is that when those ai apps are available or ai enhanced apps, right, Pretty much every enterprise app today is adding a I capabilities all of our partners in the enterprise software space and so you can think of a beady eye enterprises having a runtime component so that as you deploy your applications into the data centre, they're going to be automatically take advantage of the GPS that you have there. And so we're seeing this, uh, future as you're talking about the collaboration going forward, where the standard data centre building block still maintains and is going to be something like a VX rail two U server. But instead of just being CPU storage and RAM, they're all going to go with CPU, GPU, storage and RAM. And that's going to be the norm. And every enterprise application is going to be infused with AI and be able to take advantage of GPS in that scenario. >>Great stuff, ai for the enterprise. This is a great QB conversation. Just the beginning. We'll be having more of these virtualizing ai workloads is real impacts data scientists impacts that compute the edge, all aspects of the new environment we're all living in. John. Great to see you, Maurizio here to meet you and all the way in Italy looking for the meeting in person and good luck in your session. I just got a note here on the session. It's at VM World. Uh, it's session 22 63 I believe, um And so if anyone's watching, Want to check that out? Um, love to hear more. Thanks for coming on. Appreciate it. >>Thanks for having us. Thanks to >>its acute conversation. I'm John for your host. Thanks for watching. We'll talk to you soon. Yeah,

>>Hi everyone. Welcome to the cubes coverage of eight of his public sector summit live in Washington D. C, where it's a face to face real event. I'm johN for a year host but virtual events. Hybrid events were hybrid event as well. We've got a great remote interview. Got a guest here in person, Jon Stankovic, president of cloud solutions. Smartronix and Britain was the VP of eight of his managed services, also known as A M. S with amazon web services, jOHN and jOHN and three johns here. Welcome to the cube remote >>in person. >>Hybrid. >>Thanks. Thank you. Great to be on the cube longtime viewer and I really appreciate what you >>do for fun to be here remotely but I feel like it right there. >>Yeah, I love the hybrid if it's only gonna get better next time will be in the metaverse soon. But uh, jOHn on the line there, I want to ask you with AWS managed services, take us through what you guys are doing with Smart Trust because this is an interesting service you guys are working together. How's that relates at the table for us. >>Yeah, well, you know, we're really excited about this announcement, We've been working with Smartronix since we launched A. M S 4.5 years ago. So we've been able to build up working with them, you know, a huge library of automation capabilities and this really just formalised as that in an offer for our joint customers where we can bring the expertise from AWS and Smartronix and offer a full solution that's highly integrated to help help our customers jointly accelerate their cloud adoption as well as their operating model transformation as they start to move to a more devops motion and they need help. We're there together to provide our expertise and make that simple for them. >>Well I appreciate the call. You john b john s over here. Js john Stankevich. Um tell me about Smart trust because you heard what's going on with devoPS to point a whole revolutions going on in devops, you're starting to see a highly accelerated modern application development environment which means that the software developers are setting the pace there, the pace car of the innovation, right? And so other teams like security or I. T. Become blockers. Blockers a drag and anchor. So the shift left on security for instance is causing a lot of problems on the security team. So all this is going on like right now so still the speed is the game. What's your take? >>Sure so absolutely. I think that's where this partnership really really excels. You know, we want customers to focus on their mission, you know, national security, health care outcomes. Um we want them to kind of take the rest off their plate. So when you say some of the quote unquote blockers around security uh Smartronix has invested heavily in a federally authorized platform that sits on top of what a WS has done from a Fed ramp and so right off the bat speed agility. We don't want our customers spending time replicating things that we've done at scale and leveraging what AWS has and so by kind of utilizing this, this joint offer all of a sudden a big part of that compliance is taken care of. Uh, and then things like devoPS, things like SRE models that you hear a lot about, we fold all that into this uh, combined service offering. >>I know a little about what you guys are doing. You mentioned SRE is very cool, but let's take a minute to explain what you guys are doing because you guys are on the cutting edge of solving a lot of problems from infrastructure fools around the deVOPS stack. What are you guys doing in the cloud services? >>Sure. So I think jOHN hit a little bit on it. But you know, we look at AMS as best in breed at scale managing core parts of the U. S. Infrastructure. What Smartronix does is many times customers have some unique requirements and we take that core kind of powered by aims and we try and fill in those kind of complementary skill sets and complementary requirements. And so something like the devops, which is basically making sure that those people developing that software, they have also the ability to manage it and on an ongoing basis. Kind of run it. We develop all the frameworks and that's part of this offering to enable that. >>What's the solution jOHN B because I think you guys don't, this is people have challenges. I want to understand those challenges. And then when they go to the external managed service, what's involved, you walk us through that? Because I think that's important. >>Yeah, sure. You know, it turns out jOHN nailed this one. That moving to the cloud can be, can be a big transformation for many, many enterprises and government teams. Right. They worked for many years and have an ecosystem in their traditional data center. But when they move to the cloud, there's a lot of moving pieces and so what we like to focus on is helping them with the undifferentiated aspects of safely and automating cloud operations. So working with, with Smartronix allows us to take what we're doing across the infrastructure services, around security, around automation, around patching instance management, container management, all of those uh, undifferentiated, heavy lifting passed by now with Smartronix and expertise across the application layer across customers, unique environments across federal and moderate the various government standards and compliance is, and we think we're able to get, take a customer um, from kind of really early stage cloud experience and rapidly deploy configure and get them into a very stable scalable posture operationally on the cloud so that they can start to invest in their people, their skills and their differentiated application on the cloud that really drive the differentiation in their business and not have to worry about best practice configurations and operational run books and, and and automation is and and and the latest dep sec ops capabilities that will pick up for them while they're training and getting, they're getting their emotions in place, >>jOHn is on the Smartronix side. Talk about the difference between scale okay. Which is a big issue with cloud these customers want to have with AMS but then you also have some scale, maybe some scale to but highly compliant environments, regulated industries, for instance, this is the hot areas because scale is unwieldy, but if you don't want get rain it in, it can be chaotic. Right? So also regulations and compliance is a huge issue. >>Yeah. What what we found is um, at times customers look at it and they just get frustrated because it can be kind of intimidating and we as a combined team really have spent a lot of time we have accelerators to walk customers through that process and a really flexible model. If they feel that they have a lot of domain expertise in it, then we'll just kind of be almost a supporter other customers look at it and say, you know, we'd like you to take the entire patch of that compliance and so highly regulated environments. Both commercial D. O. D. National Security, um federal civilian agencies, state and local, they're all looking to this and saying we really want someone that's been through things like the U. S. Audited managed service provider, things like they're managed security service provider, things like fed ramp or D. O. D. Ill four and five. And I think to be honest Smartronix has just invested heavily in that with the goal of reducing all that complexity and it's it's really been taken off and we really appreciate the partnership specifically with jOHn and uh the A. W. S. A. M. S. Team. >>All right so you guys were going together, what's the ultimate benefit to the customer? >>I can I'll give my thing right off the bat all this innovation coming out of A. W. S. Um It's fantastic but only if you have the ability to take advantage of it. And so thousands of new services being rolled out. We really want customers to be able to take advantage of that and let at times us do what we do best and let them focus on their mission. And I think that's what really AWS is all about and we just feel very fortunate to be an enabler of that >>john be talking about talking about the staffing issues too because one of the problems that we have been reporting and this has come up at every reinvest on the max. Peterson about this as well. He's promised last year was gonna train 29 million people. See how that comes out of reinvent when the report card comes back. I was kinda busting his chops a little bit there but he had a smile on his face I think is gonna hit the numbers a lot of times, Maybe people don't have an SRE they don't have a devout person or they have some staff that they're in transition or transforming this is a huge factor. What's your take on this, >>you know, that that is so important, you know, as john mentioned, it's all about helping the customers focused and and their their cloud talent is scarce and it's a scarce resource and you you want to make sure that your cloud talent is working on the cool stuff or they're going to leave and and as you train and skill, these folks, they want to focus on what really impacts the business, what's really differentiating doing, you know, doing the cloud and the necessities on operations and operational tasks and sec ops and things like that, sometimes, that's not the sexiest part of the work that the customer really wants to focus their team on. So again, I think together we're able to help drive high levels of automation and really do that day in and day out work that is not necessarily the differentiator of their business and that's going to attract and keep the best and brightest minds in these in these customers um which allows us to help them with the undifferentiated aspects of of the heavy lifting. >>Not only is availability of people, it's keeping the people, I love that great call out there, Okay, where does this go? Where's the relationship. So you guys are partnering, you have the M. S. Is going on? Strong managed services not gonna go away mormon people were using managed services. It's part of the ecosystem within the ecosystem. What's next in the relationship? >>Well, I think, you know, I'll speak first, john, I'm sure you've got some thoughts to, but you know, we've got so many things on our plate around predictive operations and the predictive capabilities that we're excited about tackling together. Obviously there's all sorts of unique applications that require even deeper capabilities and working with Smartronix to help us, you know, provide even greater insight into the application layer. So I kind of see us expanding um both horizontally as well as well as vertically and horizontally. We've got customers looking at the edge with the outpost solutions and we can snap into those capabilities as well. So there's a tremendous amount of kind of, I'd say vertical and horizontal opportunity that we can continue to expand it together, >>john your reaction, That's >>pretty right on Absolutely. I think john Berger really hit it and I think really machine learning, you know, that's a big area of focus, if you look at all this data is being collected, predictive modeling and so we have this kind of transition from a model where people were basically watching screens reacting and what the AWS MSP offer and what you know, AmS offers is really predicting, so you you're not doing that, you're not reacting, you're proactively ahead of things. And that's the honest truth is AWS is such a well run service. It just doesn't break, you know, it doesn't break like what you see in the traditional kind of legacy infrastructure. And so at times we're just continuing to climb that stack. As, as john mentioned, >>it's really interesting as you guys are, as you're talking, I'm thinking myself just go back a couple of years ago, eight years ago or so. DevoPS is a bad word. Dev's dominate up. So I was through them now, operational leverage is a huge part of this ai operations, um, the entire I. T service management being disrupted heavily by cloud operations that also facilitate rapid development models. Right? So, again, this is like under reported, but it's a really nuanced point hardened operations for security and not holding back the developers is the cloud scale. What's your guys reaction to that? >>Yeah, I completely agree. I think, you know, the automation piece of things and I think customers are still going through transitions. You know, traditionally managed services means a big staff and it's like I said, sitting there watching screens and you flip that model where you have developers actually deploying code and infrastructure to support it. It's, you know, it's very transitional and very transformative and I think that's where an offering, like what we've really partnered on really, really helps because at times it can be overwhelming for customers and we just want to simplify that. And as I've said, let them focus on their mission. >>Amen one last question before we break, because I was talking to another partner, a big part of AWS. Um, and we're talking about SAS versus solutions and sometimes if you're too Sassy, you're not really building a custom solution, but you can have the best of both worlds. A little professional services, maybe some headroom on the stack, if you will your building solutions. So the next question is, as you guys put this cutting edge innovative innovative solution together, how are your customers consuming it? Like what's the consumption? I'm assuming there must be happy because a lot of heavy lifting being taken away, they don't have to deal with house the contract process. >>Well, you know, I think, you know, we have the opportunity, we support customers and kind of all modes of their application stack. So, you know, a full stacks solution. You know, even a legacy architecture moving to the cloud requires a high degree of automation to support it. And then as those applications become modernized over time, they become much more cloud native at some point, they might even become a full stack Starzz offer. So many of our customers actually run their SAAS platform leveraging our capability as well. So, you know, I think it gives the customer a lot of optionality uh, and future kind of growth as they modernize their application stack. >>Yeah, john your reaction. Absolutely. >>I think one of the greatest benefits is it's freeing up funds to do mission work. And so instead of spending time procuring hardware and managing it and leasing data center space, they literally have more funding. And so we've seen customers literally transform their business because this piece of it's done more efficiently and they have really excess and really additional funding to do their mission. >>We love the business model innovation, faster um, higher quality, easy and inexpensive. That's the flywheel gentlemen, Thank you for coming on and get the three. John john thank you. Vice President Cloud Solutions. That Smartronix, thank you for coming on. John Barrington BP of amazon websites managed. There is a also known as AWS and A M. S. A W. S got upside down. W. M. Looks the same. Thank you guys for coming. I appreciate it. Thank you. We appreciate great great Cube covers here. eight of us summit we're live on the ground and were remote. It's a hybrid event. I'm John for your host. Thanks for watching. Mhm

>>Yeah. Hello and welcome back to the cubes coverage of AWS public sector summit here in Washington D. C. We're live on the ground for two days. Face to face conference and expo hall and everything here but keith brooks who is the director and head of technical business development for a dress government Govcloud selling brains 10th birthday. Congratulations. Welcome to the cube. Thank you john happy to be E. C. 2 15 S three is 9.5 or no, that maybe they're 10 because that's the same day as sqs So Govcloud. 10 years, 20 years. What time >>flies? 10 years? >>Big milestone. Congratulations. A lot of history involved in Govcloud. Yes. Take us through what's the current situation? >>Yeah. So um let's start with what it is just for the viewers that may not be familiar. So AWS Govcloud is isolated. AWS cloud infrastructure and services that were purposely built for our U. S. Government customers that had highly sensitive data or highly regulated data or applications and workloads that they wanted to move to the cloud. So we gave customers the ability to do that with AWS Govcloud. It is subject to the fed ramp I and D O D S R G I L four L five baselines. It gives customers the ability to address ITAR requirements as well as Seaga's N'est ce MMC and Phipps requirements and gives customers a multi region architecture that allows them to also designed for disaster recovery and high availability in terms of why we built it. It starts with our customers. It was pretty clear from the government that they needed a highly secure and highly compliant cloud infrastructure to innovate ahead of demand and that's what we delivered. So back in august of 2011 we launched AWS GovCloud which gave customers the best of breed in terms of high technology, high security, high compliance in the cloud to allow them to innovate for their mission critical workloads. Who >>was some of the early customers when you guys launched after the C. I. A deal intelligence community is a big one but some of the early customers. >>So the Department of Health and Human Services, the Department of Veterans Affairs, the Department of Justice and the Department of Defense were all early users of AWS GovCloud. But one of our earliest lighthouse customers was the Nasa jet propulsion laboratory and Nasa Jpl used AWS GovCloud to procure Procure resources ahead of demand which allowed them to save money and also take advantage of being efficient and only paying for what they needed. But they went beyond just I. T. Operations. They also looked at how do they use the cloud and specifically GovCloud for their mission programs. So if you think back to all the way to 2012 with the mars curiosity rover, Nasa Jpl actually streamed and processed and stored that data from the curiosity rover on AWS Govcloud They actually streamed over 150 terabytes of data responded to over 80,000 requests per second and took it beyond just imagery. They actually did high performance compute and data analytics on the data as well. That led to additional efficiencies for future. Over there >>were entire kicking they were actually >>hard core missing into it. Mission critical workloads that also adhere to itar compliance which is why they used AWS GovCloud. >>All these compliance. So there's also these levels. I remember when I was working on the jetty uh stories that were out there was always like level for those different classifications. What does all that mean like? And then this highly available data and highly high availability all these words mean something in these top secret clouds. Can you take us through kind of meetings >>of those? Yeah absolutely. So it starts with the federal compliance program and the two most popular programs are Fed ramp and Dodi srg fed ramp is more general for federal government agencies. There are three levels low moderate and high in the short and skinny of those levels is how they align to the fisma requirements of the government. So there's fisma low fisma moderate fisma high depending on the sensitivity of the government data you will have to align to those levels of Fed ramp to use workloads and store data in the cloud. Similar story for D. O. D. With srg impact levels to 45 and six uh impacts levels to four and five are all for unclassified data. Level two is for less sensitive public defense data levels. Four and five cover more sensitive defense data to include mission critical national security systems and impact level six is for classified information. So those form the basis of security and compliance, luckily with AWS GovCloud celebrating our 10th anniversary, we address Fed ramp high for our customers that require that and D. O. D impact levels to four and five for a sensitive defense guy. >>And that was a real nuanced point and a lot of the competition can't do that. That's real people don't understand, you know, this company, which is that company and all the lobbying and all the mudslinging that goes on. We've seen that in the industry. It's unfortunate, but it happens. Um, I do want to ask you about the Fed ramp because what I'm seeing on the commercial side in the cloud ecosystem, a lot of companies that aren't quote targeting public sector are coming in on the Fed ramp. So there's some good traction there. You guys have done a lot of work to accelerate that. Any new, any new information to share their. >>Yes. So we've been committed to supporting the federal government compliance requirements effectively since the launch of GovCloud. And we've demonstrated our commitment to Fed ramp over the last number of years and GovCloud specifically, we've taken dozens of services through Fed ramp high and we're 100% committed to it because we have great relationships with the Fed ramp, Jabor the joint authorization board. We work with individual government agencies to secure agency A. T. O. S. And in fact we actually have more agency A. T. O. S. With AWS GovCloud than any other cloud provider. And the short and skinny is that represents the baseline for cloud security to address sensitive government workloads and sensitive government data. And what we're seeing from industry and specifically highly regulated industries is the standard that the U. S. Government set means that they have the assurance to run control and classified information or other levels of highly sensitive data on the cloud as well. So Fed ramp set that standard. It's interesting >>that the cloud, this is the ecosystem within an ecosystem again within crossover section. So for instance um the impact of not getting Fed ramp certified is basically money. Right. If you're a supplier vendor uh software developer or whatever used to being a miracle, no one no one would know right bed ramp. I'm gonna have to hire a whole department right now. You guys have a really easy, this is a key value proposition, isn't it? >>Correct. And you see it with a number of I. S. V. S. And software as the service providers. If you visit the federal marketplace website, you'll see dozens of providers that have Fed ramp authorized third party SAAS products running on GovCloud industry leading SAAS companies like Salesforce dot com driven technology Splunk essay PNS to effectively they're bringing their best of breed capabilities, building on top of AWS GovCloud and offering those highly compliant fed ramp, moderate fed ramp high capabilities to customers both in government and private industry that need that level of compliance. >>Just as an aside, I saw they've got a nice tweet from Teresa Carlson now it's plunk Govcloud yesterday. That was a nice little positive gesture uh, for you guys at GovCloud, what other areas are you guys moving the needle on because architecturally this is a big deal. What are some areas that you're moving the needle on for the GovCloud? >>Well, when I look back across the last 10 years, there were some pretty important developments that stand out. The first is us launching the second Govcloud infrastructure region in 2018 And that gave customers that use GovCloud specifically customers that have highly sensitive data and high levels of compliance. The ability to build fault tolerant, highly available and mission critical workloads in the cloud in a region that also gives them an additional three availability zones. So the launch of GovCloud East, which is named AWS GovCloud Us East gave customers to regions a total of six availability zones that allowed them accelerate and build more scalable solutions in the cloud. More recently, there is an emergence of another D O D program called the cybersecurity maturity model, C M M C and C M M C is something where we looked around the corner and said we need to Innovate to help our customers, particularly defense customers and the defense industrial based customers address see MMC requirements in the cloud. So with Govcloud back in December of 2020, we actually launched the AWS compliant framework for federal defense workloads, which gives customers a turnkey capability and tooling and resources to spin up environments that are configured to meet see MMC controls and D. O. D. Srg control. So those things represent some of the >>evolution keith. I'm interested also in your thoughts on how you see the progression of Govcloud outside the United States. Tactical Edge get wavelength coming on board. How does how do you guys look at that? Obviously us is global, it's not just the jet, I think it's more of in general. Edge deployments, sovereignty is also going to be world's flat, Right? I mean, so how does that >>work? So it starts back with customer requirements and I tie it back to the first question effectively we built Govcloud to respond to our U. S. Government customers and are highly regulated industry customers that had highly sensitive data and a high bar to meet in terms of regulatory compliance and that's the foundation of it. So as we look to other customers to include those outside of the US. It starts with those requirements. You mentioned things like edge and hybrid and a good example of how we marry the two is when we launched a W. S. Outpost in Govcloud last year. So outpost brings the power of the AWS cloud to on premises environments of our customers, whether it's their data centers or Coehlo environments by bringing AWS services, a. P. I. S and service and points to the customer's on premises facilities >>even outside the United States. >>Well, for Govcloud is focused on us right now. Outside of the U. S. Customers also have availability to use outpost. It's just for us customers, it's focused on outpost availability, geography >>right now us. Right. But other governments gonna want their Govcloud too. Right, Right, that's what you're getting at, >>Right? And it starts with the data. Right? So we we we spent a lot of time working with government agencies across the globe to understand their regulations and their requirements and we use that to drive our decisions. And again, just like we started with govcloud 10 years ago, it starts with our customer requirements and we innovate from there. Well, >>I've been, I love the D. O. D. S vision on this. I know jet I didn't come through and kind of went scuttled, got thrown under the bus or whatever however you want to call it. But that whole idea of a tactical edge, it was pretty brilliant idea. Um so I'm looking forward to seeing more of that. That's where I was supposed to come in, get snowball, snowmobile, little snow snow products as well, how are they doing? And because they're all part of the family to, >>they are and they're available in Govcloud and they're also authorized that fed ramp and Gov srg levels and it's really, it's really fascinating to see D. O. D innovate with the cloud. Right. So you mentioned tactical edge. So whether it's snowball devices or using outposts in the future, I think the D. O. D. And our defense customers are going to continue to innovate. And quite frankly for us, it represents our commitment to the space we want to make sure our defense customers and the defense industrial base defense contractors have access to the best debris capabilities like those edge devices and edge capable. I >>think about the impact of certification, which is good because I just thought of a clean crows. We've got aerospace coming in now you've got D O. D, a little bit of a cross colonization if you will. So nice to have that flexibility. I got to ask you about just how you view just in general, the intelligence community a lot of uptake since the CIA deal with amazon Just overall good health for eight of his gum cloud. >>Absolutely. And again, it starts with our commitment to our customers. We want to make sure that our national security customers are defense customers and all of the customers and the federal government that have a responsibility for securing the country have access to the best of breed capability. So whether it's the intelligence community, the Department of Defense are the federal agencies and quite frankly we see them innovating and driving things forward to include with their sensitive workloads that run in Govcloud, >>what's your strategy for partnerships as you work on the ecosystem? You do a lot with strategy. Go to market partnerships. Um, it's got its public sector pretty much people all know each other. Our new firms popping up new brands. What's the, what's the ecosystem looks like? >>Yeah, it's pretty diverse. So for Govcloud specifically, if you look at partners in the defense community, we work with aerospace companies like Lockheed martin and Raytheon Technologies to help them build I tar compliant E. R. P. Application, software development environments etcetera. We work with software companies I mentioned salesforce dot com. Splunk and S. A. P. And S. To uh and then even at the state and local government level, there's a company called Pay It that actually worked with the state of Kansas to develop the Icann app, which is pretty fascinating. It's a app that is the official app of the state of Kansas that allow citizens to interact with citizens services. That's all through a partner. So we continue to work with our partner uh broad the AWS partner network to bring those type of people >>You got a lot of MST is that are doing good work here. I saw someone out here uh 10 years. Congratulations. What's the coolest thing uh you've done or seen. >>Oh wow, it's hard to name anything in particular. I just think for us it's just seeing the customers and the federal government innovate right? And, and tie that innovation to mission critical workloads that are highly important. Again, it reflects our commitment to give these government customers and the government contractors the best of breed capabilities and some of the innovation we just see coming from the federal government leveraging the count now. It's just super cool. So hard to pinpoint one specific thing. But I love the innovation and it's hard to pick a favorite >>Child that we always say. It's kind of a trick question I do have to ask you about just in general, the just in 10 years. Just look at the agility. Yeah, I mean if you told me 10 years ago the government would be moving at any, any agile anything. They were a glacier in terms of change, right? Procure Man, you name it. It's just like, it's a racket. It's a racket. So, so, but they weren't, they were slow and money now. Pandemic hits this year. Last year, everything's up for grabs. The script has been flipped >>exactly. And you know what, what's interesting is there were actually a few federal government agencies that really paved the way for what you're seeing today. I'll give you some examples. So the Department of Veterans Affairs, they were an early Govcloud user and way back in 2015 they launched vets dot gov on gov cloud, which is an online platform that gave veterans the ability to apply for manage and track their benefits. Those type of initiatives paved the way for what you're seeing today, even as soon as last year with the U. S. Census, right? They brought the decennial count online for the first time in history last year, during 2020 during the pandemic and the Census Bureau was able to use Govcloud to launch and run 2020 census dot gov in the cloud at scale to secure that data. So those are examples of federal agencies that really kind of paved the way and leading to what you're saying is it's kind >>of an awakening. It is and I think one of the things that no one's reporting is kind of a cultural revolution is the talent underneath that way, the younger people like finally like and so it's cooler. It is when you go fast and you can make things change, skeptics turned into naysayers turned into like out of a job or they don't transform so like that whole blocker mentality gets exposed just like shelf where software you don't know what it does until the cloud is not performing, its not good. Right, right. >>Right. Into that point. That's why we spend a lot of time focused on education programs and up skilling the workforce to, because we want to ensure that as our customers mature and as they innovate, we're providing the right training and resources to help them along their journey, >>keith brooks great conversation, great insight and historian to taking us to the early days of Govcloud. Thanks for coming on the cube. Thanks thanks for having me cubes coverage here and address public sector summit. We'll be back with more coverage after this short break. Mhm. Mhm mm.

>>Mhm >>Welcome to the cube where we're celebrating the EC 2/15 birthday anniversary. My name is Dave Volonte and we're joined right now by Sandy carter, Vice President of AWS. Welcome Sandy, it's great to see you again, >>David. So great to see you too. Thanks for having me on the show today. >>Very welcome. We were last physically together. I think it was reinvent 2019. Hopefully I'll see you before 2022. But first happy birthday to EC two. I mean, it's hard to imagine back in 2006, the degree to which EC two would impact our industry. Sandy, >>I totally agree. You know, I joined a W S about 4.5 years ago in EC two and it's, it's even amazing to see what's just happened in the last 4.5 years. So I'm with you. Nobody really expected the momentum, but EC two has really shone brightly in value to our customers. >>You know, we've done the public sector summit, you know, many times. It's a great event. Things are a little different in public sector as you well know. So talk about the public sector momentum with EC two and that journey. What have you seen? >>Yeah, so it's a great question day. So I had to go back in the time vault. You know, public sector was founded in 2010 and we were actually founded by the amazon process writing a paper setting up a two pizza team, which happened to be six people. And that journey really started with a lot of our public sector customers thinking that we don't know about the cloud. So we might want to do a pilot or just look at non mission critical workloads now public sector and I know you know this day but public sector is more than just government, it has education, not for profit healthcare and now space. But everybody at that time was very skeptical. So we had to really work hard to migrate some workloads over. And one of our very first non mission critical workloads was the U. S. Navy. Um and what they did was the Navy Media Services actually moved images over to EC two. Now today that seems like oh that's pretty easy. But back then that was a big monumental reference. Um and we had to spend a lot of time on training and education to win the hearts and souls of our customers. So back then we had half of the floor and Herndon Washington, we just had a few people and that room really became a training room. We trained our reps, we trained our customers um research drive. A lot of our early adopters accounts like Nasa and jpl. And um then when cloud first came out and governments that started with the U. S. A. And we announced Govcloud, you know, things really picked up, we had migration of significant workloads. So if you think back to that S. A. P. And just moving media over um with the Navy, the Navy and S. A. P. Migrated their largest S A P E R P solution to the cloud in that time as well. Um, then we started international. Our journey continued with the UK International was UK and us was us. Then we added a P. J. And latin America and Canada. And then of course the partner team which you know, is very close to my heart. Partners today are about 73% of our overall public sector business. And it started out with some interesting small pro program SVS being very crucial to that, accelerating adoption. And then of course now the journey has continued with Covid. That has really accelerated that movement to the cloud. And we're seeing, you know, use of ec two to really help us drive by the cute power needed for A I N. M. L. And taking all that data in from IOT and computing that data. And are they are. Um, and we're really seeing that journey just continue and we see no end in sight. >>So if we can stay in the infancy and sort of the adolescent years of public sector, I mean, remember, I mean as analysts, we were really excited about, you know, the the the introduction of of of of EC two. But but there was a lot of skepticism in whatever industry, financial services, healthcare concerns about security, I presume it was similar in public sector, but I'm interested in how you you dealt with those challenges, how you you listen to folks, you know, how did you drive that leadership to where it is today? >>Yeah, you're right. The the first questions were what is the cloud? Doesn't amazon sell books? What is this clown thing? Um, what is easy to, what is easy to stand for and then what the heck is an instance? You know, way back when there was one instance, it didn't even have a name. And today of course we have over 400 instant types with different names for each one. Um and the big challenges you asked about challenges, the big challenges that we had to face. Dave were first and foremost, how do we educate? Um we had to educate our employees and then we had to educate our customers. So we created these really innovative hands on training programmes, white boarding um, sessions that we needed. They were wildly popular. So we really have to do that and then also prove security as you know. So you asked how we listen to our customers and of course we followed the amazon way we work backwards from where we were. So at that time, customers needed education. And so we started there um, data was really important. We needed to make customer or data for government more available as well. So for instance, we first started hosting the Census Bureau for instance. Um and that was all on EC two. So we had lots of early adopters and I think the early adopters around EC two really helped us to remember. I said that the UK was our international office for a while. So we had NIH we had a genomes project and the UK Ministry of Justice as well. And we had to prove security out. We had to prove how this drove a structured GovCloud and then we had to also prove it out with our partners with things like helping them get fed ramped or other certifications. I'll for that sort of thing as well. And so we really lead in those early days through that education and training. Um we lead with pilots to show the potential of the possible and we lead with that security setting those security standards and those compliance certifications, always listening to the customer, always listening to the partner, knowing how important the partners we're going to be. So for example, recovery dot gov was the first government wide system that moved to the cloud. Um the recovery transparency board was first overseeing that Recovery act spending, which included stimulus tracking website. I don't know if you remember that, but they hosted the recovery dot gov On amazon.com using EC two. And that site quickly made information available to a million visitors per hour and at that time, that was amazing. And the cost savings were significant. We also launched Govcloud. You'd asked about GovCloud earlier and that federal cloud computing strategy when the U. S. Government came out with cloud first and they had to consider what is really going to compel these federal agencies to consider cloud. They had Public-sector customers had 70 requirements for security and safety of the data that we came out with Govcloud to open up all those great opportunities. And I think Dave we continue to leave because we are customer obsessed uh you know, still supporting more security standards and compliance sort than any other provider. Um You know, now we lead with data not just data for census or images for the US Navy, but we've got now data in space and ground station and data at scale with customers like Finra who's now doing 100 billion financial transactions. Not just that one million from the early days. So it has been a heck of a ride for public sector and I love the way that the public sector team really used and leveraged the leadership principles. Re invent and simplify dive deep. Be obsessed with the customers start where they are. Um and make sure that you're always always always listening to what they need. >>You know, it's interesting just observing public sector. It's not uncommon, especially because of the certifications that some of the services, you know come out after they come out for the commercial sector. And I remember years ago when I was at I. D. C. I was kind of the steward of the public sector business. And that was a time when everybody was trying to focus in public sector on commercial off the shelf software. That was the big thing. And they want to understand, they wanted to look at commercial use cases and how they could apply them to government. And when I dug in a little bit and met with generals and like eight different agencies, I was struck by how many really smart people and the things that they were doing. And I said at the time, you know, a lot of my commercial clients could learn a lot from you. And so the reason I bring that up is because I saw the same thing with Govcloud because there was a lot of skepticism in various industries, particularly regulated industries, financial services, healthcare. And then when Govcloud hit and the CIA deal hit, people said, whoa CIA, they're like the most security conscious industry or organization in the world. And so I feel as though in a way public sector led that that breakthrough. So I'm wondering when you think about EC two today and the momentum that it has in the government, Are there similar things that you see? Where's the momentum today in public sector? >>You are right on target day? I mean that CIA was a monumental moment and that momentum with ever increasing adoption to the cloud has continued in public sector. In fact today, public sector is one of our fastest growing areas. So we've got um, you know, thousands of startups or multiple countries that were helping out today to really ignite that innovation. We have over 4000 government agencies, 9000 education agencies. Um 2000 public sector partners from all over the globe. 24,000 not for profit organizations. And what I see is the way that they're using EC two um is is leading the pack now, especially after Covid, you know, many of these folks accelerated their journey because of Covid. They got to the cloud faster and now they are doing some really things that no one else is doing like sending an outpost postbox into space or leveraging, you know robots and health care for sure. So that momentum continues today and I love that you were the champion of that you know way back when even when you were with I. D. C. >>So I want to ask you, you sort of touched on some interesting use cases, what are some of the more unusual ones and maybe breakthrough use cases that you see? >>Oh so yeah we have a couple. So one is um I mentioned it earlier but there is a robot now that is powered by IOT and EC two and the robot helps to take temperature and and readings for folks that are entering the hospital in latin America really helped during Covid, one of my favorites. It actually blew the socks off of verne or two and you know that's hard to do is a space startup called lunar outpost and they are synthesizing oxygen on mars now that's, that's driven by Ec two. That's crazy. Right? Um, we see state governments like new york, they've got this vision zero traffic and they're leveraging that to prevent accidents all through new york city. I used to live in new york city. So this is really needed. Um, and it continues like with education, we see university of Illinois and Splunk one of our partners, they created a boarding pass for students to get back to school. So I have a daughter in college. Um, and you know, it's really hard for her to prove that she's had the vaccine or that she's tested negative on the covid test. They came out with a past of this little boarding pass, just like you used to get on an airplane to get into different classes and labs and then a couple of my favorites and you guys actually filmed the Cherokee nation. So the Cherokee nation, the chief of the Cherokee nation was on our silicon um show and silicon angles show and the cube featured them And as the chief talked about how he preserves the Cherokee language. And if you remember the Cherokee language has been used to help out the US in many different ways and Presidio. One of our partners helped to create a game, a super cool game that links in with unity To help teach that next generation the language while they're playing a game and then last but not least axle three d out of the UK. Um, they're using easy to, to save lives. They've created a three D imaging process for people getting ready to get kidney transplants and they have just enhanced that taken the time frame down for months. Now today's that they can actually articulate whether the kidney transplant will work. And when I talked to roger their Ceo, they're doing R. O. L return on life's not return on investment. So those are just some of the unusual and breakthrough use cases that we see powered by E. C. To >>Sandy. I'll give you the last word. Your final closing comments. >>Well, my final closing comments are happy birthday to ec two celebrating 15 years. What a game changer and value added. It has been the early days of Ec two. Of course we're about education like what is the cloud? Why is a bookseller doing it. But um, easy to really help to create a new hub of value Now. We've got customers moving so fast with modernization using a I. M and M. L. Containers survivalists. Um, and all of these things are really changing the game and leveling it up as we increased that business connection. So I think the future is really bright. We've only just begun. We've only just begun with EC two and we've only just begun with public sector. You know, our next great moments are still left to come. >>Well, Sandy, thanks so much. Always Great to see you. Really appreciate your time. >>Thank you so much. Dave. I really appreciate it. And happy birthday again to E. C. To keep >>It right there were celebrating Ec 2's 15th birthday right back. >>Mhm.

>>Mhm Hello and welcome to the cubes coverage of AWS amazon web services, Global public Sector partner awards program. I'm john for your host of the cube here we're gonna talk about the best covid solution to great guests. Benham or with healthcare and life sciences lead at palantir Ben welcome to the cube SAm Michaels, Director of automation and compound management and Cats. National Center for advancing translational sciences and Cats. Part of the NIH National sort of health Gentlemen, thank you for coming on and and congratulations on the best covid solution. >>Thank you so much john >>so I gotta, I gotta ask you the best solution is when can I get the vaccine? How fast how long it's gonna last but I really appreciate you guys coming on. I >>hope you're vaccinated. I would say john that's outside of our hands. I would say if you've not got vaccinated, go get vaccinated right now, have someone stab you in the arm, you know, do not wait and and go for it. That's not on us. But you got that >>opportunity that we have that done. I got to get on a plane and all kinds of hoops to jump through. We need a better solution anyway. You guys have a great technical so I wanna I wanna dig in all seriousness aside getting inside. Um you guys have put together a killer solution that really requires a lot of data can let's step back and and talk about first. What was the solution that won the award? You guys have a quick second set the table for what we're talking about. Then we'll start with you. >>So the national covered cohort collaborative is a secure data enclave putting together the HR records from more than 60 different academic medical centers across the country and they're making it available to researchers to, you know, ask many and varied questions to try and understand this disease better. >>See and take us through the challenges here. What was going on? What was the hard problem? I'll see everyone had a situation with Covid where people broke through and cloud as he drove it amazon is part of the awards, but you guys are solving something. What was the problem statement that you guys are going after? What happened? >>I I think the problem statement is essentially that, you know, the nation has the electronic health records, but it's very fragmented, right. You know, it's been is highlighted is there's there's multiple systems around the country, you know, thousands of folks that have E H. R. S. But there is no way from a research perspective to actually have access in any unified location. And so really what we were looking for is how can we essentially provide a centralized location to study electronic health records. But in a Federated sense because we recognize that the data exist in other locations and so we had to figure out for a vast quantity of data, how can we get data from those 60 sites, 60 plus that Ben is referencing from their respective locations and then into one central repository, but also in a common format. Because that's another huge aspect of the technical challenge was there's multiple formats for electronic health records, there's different standards, there's different versions. And how do you actually have all of this data harmonised into something which is usable again for research? >>Just so many things that are jumping in my head right now, I want to unpack one at the time Covid hit the scramble and the imperative for getting answers quickly was huge. So it's a data problem at a massive scale public health impact. Again, we were talking before we came on camera, public health records are dirty, they're not clean. A lot of things are weird. I mean, just just massive amount of weird problems. How did you guys pull together take me through how this gets done? What what happened? Take us through the the steps He just got together and said, let's do this. How does it all happen? >>Yeah, it's a great and so john, I would say so. Part of this started actually several years ago. I explain this when people talk about in three C is that and Cats has actually established what we like to call, We support a program which is called the Clinical translation Science Award program is the largest single grant program in all of NIH. And it constitutes the bulk of the Cats budget. So this is extra metal grants which goes all over the country. And we wanted this group to essentially have a common research environment. So we try to create what we call the secure scientific collaborative platforms. Another example of this is when we call the rare disease clinical research network, which again is a consortium of 20 different sites around the nation. And so really we started working this several years ago that if we want to Build an environment that's collaborative for researchers around the country around the world, the natural place to do that is really with a cloud first strategy and we recognize this as and cats were about 600 people now. But if you look at the size of our actual research community with our grantees were in the thousands. And so from the perspective that we took several years ago was we have to really take a step back. And if we want to have a comprehensive and cohesive package or solution to treat this is really a mid sized business, you know, and so that means we have to treat this as a cloud based enterprise. And so in cats several years ago had really gone on this strategy to bring in different commercial partners, of which one of them is Palin tear. It actually started with our intramural research program and obviously very heavy cloud use with AWS. We use your we use google workspace, essentially use different cloud tools to enable our collaborative researchers. The next step is we also had a project. If we want to have an environment, we have to have access. And this is something that we took early steps on years prior that there is no good building environment if people can't get in the front door. So we invested heavily and create an application which we call our Federated authentication system. We call it unified and cats off. So we call it, you know, for short and and this is the open source in house project that we built it and cats. And we wanted to actually use this for all sorts of implementation, acting as the front door to this collaborative environment being one of them. And then also by by really this this this interest in electronic health records that had existed prior to the Covid pandemic. And so we've done some prior work via mixture of internal investments in grants with collaborative partners to really look at what it would take to harmonize this data at scale. And so like you mentioned, Covid hit it. Hit really hard. Everyone was scrambling for answers. And I think we had a bit of these pieces um, in play. And then that's I think when we turned to ban and the team at volunteer and we said we have these components, we have these pieces what we really need. Something independent that we can stand up quickly to really address some of these problems. One of the biggest one being that data ingestion and the harmonization step. And so I can let Ben really speak to that one. >>Yeah. Ben Library because you're solving a lot of collaboration problems, not just the technical problem but ingestion and harmonization ingestion. Most people can understand is that the data warehousing or in the database know that what that means? Take us through harmonization because not to put a little bit of shade on this, but most people think about, you know, these kinds of research or non profits as a slow moving, you know, standing stuff up sandwich saying it takes time you break it down. By the time you you didn't think things are over. This was agile. So take us through what made it an agile because that's not normal. I mean that's not what you see normally. It's like, hey we'll see you next year. We stand that up. Yeah. At the data center. >>Yeah, I mean so as as Sam described this sort of the question of data on interoperability is a really essential problem for working with this kind of data. And I think, you know, we have data coming from more than 60 different sites and one of the reasons were able to move quickly was because rather than saying oh well you have to provide the data in a certain format, a certain standard. Um and three C. was able to say actually just give us the data how you have it in whatever format is easiest for you and we will take care of that process of actually transforming it into a single standard data model, converting all of the medical vocabularies, doing all of the data quality assessment that's needed to ensure that data is actually ready for research and that was very much a collaborative endeavor. It was run out of a team based at johns Hopkins University, but in collaboration with a broad range of researchers who are all adding their expertise and what we were able to do was to provide the sort of the technical infrastructure for taking the transformation pipelines that are being developed, that the actual logic and the code and developing these very robust kind of centralist templates for that. Um, that could be deployed just like software is deployed, have changed management, have upgrades and downgrades and version control and change logs so that we can roll that out across a large number of sites in a very robust way very quickly. So that's sort of that, that that's one aspect of it. And then there was a bunch of really interesting challenges along the way that again, a very broad collaborative team of researchers worked on and an example of that would be unit harmonization and inference. So really simple things like when a lab result arrives, we talked about data quality, um, you were expected to have a unit right? Like if you're reporting somebody's weight, you probably want to know if it's in kilograms or pounds, but we found that a very significant proportion of the time the unit was actually missing in the HR record. And so unless you can actually get that back, that becomes useless. And so an approach was developed because we had data across 60 or more different sites, you have a large number of lab tests that do have the correct units and you can look at the data distributions and decide how likely is it that this missing unit is actually kilograms or pounds and save a huge portion of these labs. So that's just an example of something that has enabled research to happen that would not otherwise have been able >>just not to dig in and rat hole on that one point. But what time saving do you think that saves? I mean, I can imagine it's on the data cleaning side. That's just a massive time savings just in for Okay. Based on the data sampling, this is kilograms or pounds. >>Exactly. So we're talking there's more than 3.5 billion lab records in this data base now. So if you were trying to do this manually, I mean, it would take, it would take to thousands of years, you know, it just wouldn't be a black, it would >>be a black hole in the dataset, essentially because there's no way it would get done. Ok. Ok. Sam take me through like from a research standpoint, this normalization, harmonization the process. What does that enable for the, for the research and who decides what's the standard format? So, because again, I'm just in my mind thinking how hard this is. And then what was the, what was decided? Was it just on the base records what standards were happening? What's the impact of researchers >>now? It's a great quite well, a couple things I'll say. And Ben has touched on this is the other real core piece of N three C is the community, right? You know, And so I think there's a couple of things you mentioned with this, johN is the way we execute this is, it was very nimble, it was very agile and there's something to be said on that piece from a procurement perspective, the government had many covid authorities that were granted to make very fast decisions to get things procured quickly. And we were able to turn this around with our acquisition shop, which we would otherwise, you know, be dead in the water like you said, wait a year ago through a normal acquisition process, which can take time, but that's only one half the other half. And really, you're touching on this and Ben is touching on this is when he mentions the research as we have this entire courts entire, you know, research community numbering in the thousands from a volunteer perspective. I think it's really fascinating. This is a really a great example to me of this public private partnership between the companies we use, but also the academic participants that are actually make up the community. Um again, who the amount of time they have dedicated on this is just incredible. So, so really, what's also been established with this is core governance. And so, you know, you think from assistance perspective is, you know, the Palin tear this environment, the N three C environment belongs to the government, but the N 33 the entire actually, you know, program, I would say, belongs to the community. We have co governance on this. So who decides really is just a mixture between the folks on End Cats, but not just end cast as folks at End Cats, folks that, you know, and I proper, but also folks and other government agencies, but also the, the academic communities and entire these mixed governance teams that actually set the stage for all of this. And again, you know, who's gonna decide the standard, We decide we're gonna do this in Oman 5.3 point one um is the standard we're going to utilize. And then once the data is there, this is what gets exciting is then they have the different domain teams where they can ask different research questions depending upon what has interest scientifically to them. Um and so really, you know, we viewed this from the government's perspective is how do we build again the secure platform where we can enable the research, but we don't really want to dictate the research. I mean, the one criteria we did put your research has to be covid focused because very clearly in response to covid, so you have to have a Covid focus and then we have data use agreements, data use request. You know, we have entire governance committees that decide is this research in scope, but we don't want to dictate the research types that the domain teams are bringing to the table. >>And I think the National Institutes of Health, you think about just that their mission is to serve the public health. And I think this is a great example of when you enable data to be surfaced and available that you can really allow people to be empowered and not to use the cliche citizen analysts. But in a way this is what the community is doing. You're doing research and allowing people from volunteers to academics to students to just be part of it. That is citizen analysis that you got citizen journalism. You've got citizen and uh, research, you've got a lot of democratization happening here. Is that part of it was a result of >>this? Uh, it's both. It's a great question. I think it's both. And it's it's really by design because again, we want to enable and there's a couple of things that I really, you know, we we clamor with at end cats. I think NIH is going with this direction to is we believe firmly in open science, we believe firmly in open standards and how we can actually enable these standards to promote this open science because it's actually nontrivial. We've had, you know, the citizen scientists actually on the tricky problem from a governance perspective or we have the case where we actually had to have students that wanted access to the environment. Well, we actually had to have someone because, you know, they have to have an institution that they come in with, but we've actually across some of those bridges to actually get students and researchers into this environment very much by design, but also the spirit which was held enabled by the community, which, again, so I think they go they go hand in hand. I planned for >>open science as a huge wave, I'm a big fan, I think that's got a lot of headroom because open source, what that's done to software, the software industry, it's amazing. And I think your Federated idea comes in here and Ben if you guys can just talk through the Federated, because I think that might enable and remove some of the structural blockers that might be out there in terms of, oh, you gotta be affiliate with this or that our friends got to invite you, but then you got privacy access and this Federated ID not an easy thing, it's easy to say. But how do you tie that together? Because you want to enable frictionless ability to come in and contribute same time you want to have some policies around who's in and who's not. >>Yes, totally, I mean so Sam sort of already described the the UNa system which is the authentication system that encounters has developed. And obviously you know from our perspective, you know we integrate with that is using all of the standard kind of authentication protocols and it's very easy to integrate that into the family platform um and make it so that we can authenticate people correctly. But then if you go beyond authentication you also then to actually you need to have the access controls in place to say yes I know who this person is, but now what should they actually be able to see? Um And I think one of the really great things in Free C has done is to be very rigorous about that. They have their governance rules that says you should be using the data for a certain purpose. You must go through a procedure so that the access committee approves that purpose. And then we need to make sure that you're actually doing the work that you said you were going to. And so before you can get your data back out of the system where your results out, you actually have to prove that those results are in line with the original stated purpose and the infrastructure around that and having the access controls and the governance processes, all working together in a seamless way so that it doesn't, as you say, increase the friction on the researcher and they can get access to the data for that appropriate purpose. That was a big component of what we've been building out with them three C. Absolutely. >>And really in line john with what NIH is doing with the research, all service, they call this raz. And I think things that we believe in their standards that were starting to follow and work with them closely. Multifactor authentication because of the point Ben is making and you raised as well, you know, one you need to authenticate, okay. This you are who you say you are. And and we're recognizing that and you're, you know, the author and peace within the authors. E what do you authorized to see? What do you have authorization to? And they go hand in hand and again, non trivial problems. And especially, you know, when we basis typically a lot of what we're using is is we'll do direct integrations with our package. We using commons for Federated access were also even using login dot gov. Um, you know, again because we need to make sure that people had a means, you know, and login dot gov is essentially a runoff right? If they don't have, you know an organization which we have in common or a Federated access to generate a login dot gov account but they still are whole, you know beholden to the multi factor authentication step and then they still have to get the same authorizations because we really do believe access to these environment seamlessly is absolutely critical, you know, who are users are but again not make it restrictive and not make it this this friction filled process. That's very that's very >>different. I mean you think about nontrivial, totally agree with you and if you think about like if you were in a classic enterprise, I thought about an I. T. Problem like bring your own device to work and that's basically what the whole world does these days. So like you're thinking about access, you don't know who's coming in, you don't know where they're coming in from, um when the churn is so high, you don't know, I mean all this is happening, right? So you have to be prepared two Provisions and provide resource to a very lightweight access edge. >>That's right. And that's why it gets back to what we mentioned is we were taking a step back and thinking about this problem, you know, an M three C became the use case was this is an enterprise I. T. Problem. Right. You know, we have users from around the world that want to access this environment and again we try to hit a really difficult mark, which is secure but collaborative, Right? That's that's not easy, you know? But but again, the only place this environment could take place isn't a cloud based environment, right? Let's be real. You know, 10 years ago. Forget it. You know, Again, maybe it would have been difficult, but now it's just incredible how much they advanced that these real virtual research organizations can start to exist and they become the real partnerships. >>Well, I want to Well, that's a great point. I want to highlight and call out because I've done a lot of these interviews with awards programs over the years and certainly in public sector and open source over many, many years. One of the things open source allows us the code re use and also when you start getting in these situations where, okay, you have a crisis covid other things happen, nonprofits go, that's the same thing. They, they lose their funding and all the code disappears. Saying with these covid when it becomes over, you don't want to lose the momentum. So this whole idea of re use this platform is aged deplatforming of and re factoring if you will, these are two concepts with a cloud enables SAM, I'd love to get your thoughts on this because it doesn't go away when Covid's >>over, research still >>continues. So this whole idea of re platform NG and then re factoring is very much a new concept versus the old days of okay, projects over, move on to the next one. >>No, you're absolutely right. And I think what first drove us is we're taking a step back and and cats, you know, how do we ensure that sustainability? Right, Because my background is actually engineering. So I think about, you know, you want to build things to last and what you just described, johN is that, you know, that, that funding, it peaks, it goes up and then it wanes away and it goes and what you're left with essentially is nothing, you know, it's okay you did this investment in a body of work and it goes away. And really, I think what we're really building are these sustainable platforms that we will actually grow and evolve based upon the research needs over time. And I think that was really a huge investment that both, you know, again and and Cats is made. But NIH is going in a very similar direction. There's a substantial investment, um, you know, made in these, these these these really impressive environments. How do we make sure the sustainable for the long term? You know, again, we just went through this with Covid, but what's gonna come next? You know, one of the research questions that we need to answer, but also open source is an incredibly important piece of this. I think Ben can speak this in a second, all the harmonization work, all that effort, you know, essentially this massive, complex GTL process Is in the N three Seagate hub. So we believe, you know, completely and the open source model a little bit of a flavor on it too though, because, you know, again, back to the sustainability, john, I believe, you know, there's a room for this, this marriage between commercial platforms and open source software and we need both. You know, as we're strong proponents of N cats are both, but especially with sustainability, especially I think Enterprise I. T. You know, you have to have professional grade products that was part of, I would say an experiment we ran out and cast our thought was we can fund academic groups and we can have them do open source projects and you'll get some decent results. But I think the nature of it and the nature of these environments become so complex. The experiment we're taking is we're going to provide commercial grade tools For the academic community and the researchers and let them use them and see how they can be enabled and actually focus on research questions. And I think, you know, N3C, which we've been very successful with that model while still really adhering to the open source spirit and >>principles as an amazing story, congratulated, you know what? That's so awesome because that's the future. And I think you're onto something huge. Great point, Ben, you want to chime in on this whole sustainability because the public private partnership idea is the now the new model innovation formula is about open and collaborative. What's your thoughts? >>Absolutely. And I mean, we uh, volunteer have been huge proponents of reproducibility and openness, um in analyses and in science. And so everything done within the family platform is done in open source languages like python and R. And sequel, um and is exposed via open A. P. I. S and through get repository. So that as SaM says, we've we've pushed all of that E. T. L. Code that was developed within the platform out to the cats get hub. Um and the analysis code itself being written in those various different languages can also sort of easily be pulled out um and made available for other researchers in the future. And I think what we've also seen is that within the data enclave there's been an enormous amount of re use across the different research projects. And so actually having that security in place and making it secure so that people can actually start to share with each other securely as well. And and and be very clear that although I'm sharing this, it's still within the range of the government's requirements has meant that the, the research has really been accelerated because people have been able to build and stand on the shoulders of what earlier projects have done. >>Okay. Ben. Great stuff. 1000 researchers. Open source code and get a job. Where do I sign up? I want to get involved. This is amazing. Like it sounds like a great party. >>We'll send you a link if you do a search on on N three C, you know, do do a search on that and you'll actually will come up with a website hosted by the academic side and I'll show you all the information of how you can actually connect and john you're welcome to come in. Billion by all means >>billions of rows of data being solved. Great tech he's working on again. This is a great example of large scale the modern era of solving problems is here. It's out in the open, Open Science. Sam. Congratulations on your great success. Ben Award winners. You guys doing a great job. Great story. Thanks for sharing here with us in the queue. Appreciate it. >>Thank you, john. >>Thanks for having us. >>Okay. It is. Global public sector partner rewards best Covid solution palantir and and cats. Great solution. Great story. I'm john Kerry with the cube. Thanks for watching. Mm mm. >>Mhm

>>Hello everyone. Thank you, add appreciating the studio. We're here at the cube here in cloud city telco DRS Cloud city. I'm Jeffrey Day Volonte. We're here for the next three days. Wall to wall live coverage. It's a physical event with a virtual program. It's hybrid. We're here with Daniel Royston, the Ceo of telco D. R. And the acting Ceo Toby, which is announced today. Great >>to see you. It's awesome to see you guys. >>Awesome to see how you doing, how you >>Feeling? I'm feeling congratulations. Right. 101 days ago, I didn't even think this doesn't exist. Right. And we got in contact with you guys and we said we knew there was always going to be a big virtual component and we invited you guys and here we are together. It's insane. >>Well we did the preview videos, but we're kind of walking through and document in the early stages. It all came together beautifully spectacular For the folks watching behind us is the most spectacular build out clouds. It's an ecosystem open concept. It feels like the Apple store meets paradise. Of course. We got the cube here in the set and we got the studio with all the command and control of adam there. So I gotta ask you with the connected keynotes going on right now. The connected world. Yeah. It's connected. We all know that everyone knows that what's, what's different now real quick before we get into the program, what's going on? >>Yeah. I think a big part of my messages and advocating it's more than just the network, Right? And I think telcos forever have relied on. That's all it is. That's what it's about. And I'm like, nope, you guys got to start focusing on your subscribers, right? And so the over the top players keep coming in and siphoning away their revenue and it's time for them to start focusing on us, right and making experience great. And I think that's what this is all about. >>So we're gonna get the news but I want to toss it to Katie. The roving reporter is going to give it a detail on how it all came together. So Katie take it away. >>Mhm We're here in Barcelona and so excited to be back in this beautiful city over at the convention center. The team is working hard putting the finishing touches to tell Cody are amazing cloud city booth at MwC Barcelona 2021. I'm sure you know the story of how this all came together as one of the biggest vendors Erickson pulled out of M. W. C. With just over 100 days until the start of the event. When this happened last year, it kicked off a tidal wave of departures and MwC was called off this year. We all wondered if MWC was going to be cancelled again and that's when Daniel Royston Ceo of Telco D. R. And Tito G swooped in and took over the booth all 6000 square meters of it. The plan turn the booth into cloud city, the epicenter of public cloud innovation at MWC crews have been working around the clock. Over 100 and 50 people have been on this construction site for over three weeks with covid testing every day to prevent outbreaks during the build and in 100 days, it's become just that Cloud city has over 30 vendors presenting over 70 demos with 24 private meeting areas. Cloud City Live is a virtual showcase and live broadcast studio featuring 50 guests from cloud Thought leaders around the world. They have telepresence robots for a more personalized experience and the Cloud city quest game with a chance to win more than $100,000 to gain access to live streams of our nightly concerts with rosario flores and rock legend Jon bon Jovi. And don't forget to visit cloud city dot telco D R dot com to join in on the fun Daniel Royston and Nacho Gomez, founder and Ceo of one of the key vendors in the construction of the booth gave us a behind the scenes tour of the booth. >>Nacho. We did it. Yeah, we did. It can't even touch because of Covid. Yeah, but look what we did. But right, 100 days ago I called and I said I'm taking over the Ericsson booth. What did you think? I know you were crazy but just a little bit crazy, realized that you were mortgages than I thought. So at the very, at the very beginning I thought, yeah, she's crazy. But then I couldn't sleep that night. But the next uh then I realized that it was a very good it's a great idea. Yeah super smart. So yeah we're gonna show everyone toward the booth. Yeah let's go. Let's go. Okay So how do we build such an amazing, beautiful building now? So this is we've made building inside a book. So it was very hard to find a glassful of facade. The roof is around 24 tones. Yeah so it's crazy crazy but we made it work and it's totally amazing. Yeah. Do you want to go to tragedy life? Do let's go. Okay so here we are Cloud city live. I know we're producing a whole live streaming tv show. We always knew because of covid that not everyone will be able to come to Mwc as we wanted to make sure that people can learn about the public cloud. So over here we have the keynote stage, we're gonna have awesome speakers talking all throughout M. W. C. People from AWS Microsoft, google vendors companies. So really really great content. And then over there we have the cube interviewing people again 15 minute segments, live streaming but also available on demand. And you can find all of this content on cloud city. Tell Cody are calm and it's available for anyone to you. Well, a lot of content. And what about the roberts? I never get them out. Come on. We remember 100 days ago we were locked down. So we came up with the idea of having robots for the people who cannot attend in person. I know right. We always knew that there was gonna be a big virtual component to MWC this year. So we bought 100 telepresence robots. It's a great way to have a more personal experience inside the boot. Just sign up for one on cloud city dot telco D r dot com and you can control it yourself. Right? So today we have Nikki with us, who's dialing in from the Philippines in Manila? Hello, Nicky. Hi there, how are you? I were great. Can you show us a twirl all gaining on us? Super cool. Yeah, it is. What an experience. So Nikki robots are not the only cool thing we have in cloud city. We also have super awesome concert. We have rosario flores on monday. Who's a latin grammy award winner. We have Jon bon Jovi, Jon bon Jovi on Tuesday, can't be changing telephone that a little bit of rock n roll and that's Tuesday. And on Wednesday we have DJ official, it's going to be a super party. Now if you play our cloud city quest on cloud city telco D R dot com you can participate in a live streaming concert and so I know a lot of people out there have been a lockdown. Haven't been able to be going to concerts. Things from austin texas, which is the live music capital of the world, How to have music. It would be so exciting is gonna be great. I'm getting hungry. Why don't we go to the restaurant? Let's go eat. Let's go. Yeah, Here is our awesome restaurant. I know it's called Cloud nine. Right? It's a place to come and sit down and relax now. Barcelona is known for its great food and I'm a foodie. So we had to have a restaurant. Should we go check out my secret bar? Let's go. Mhm. Yeah, here >>thanks to a R. And thank you Nacho if you're watching this at home, I'm so sorry you can't join us in person. However, let's not forget this is a hybrid event meaning we're bringing all the public cloud action right to you wherever in the world you might be. This includes the Pact cloud city live program. We've partnered with the cube Silicon angle Media's live streaming video studio to make sure that all of the keynotes, panel discussions, demos, case studies interviews and way more are available on demand so you can watch them whenever and wherever you want or you can live stream and enjoy all things cloud city as and when they happen. So for those of you not able to join us in, Barcelona, be sure to log in to cloud city live and catch all the action and don't miss the awesome concert Tuesday night with Jon bon Jovi available for free. If you participate in our cloud city quest game, I'll be here throughout MWc bringing you reports and updates. Stay >>tuned. Yeah. >>Mhm. Okay, we're back here on the cube on the floor at mobile world congress in cloud city telco DRS clouds. They were here with D. R. Of telco, D R. Danielle Rice and great to see you back, we're back. So the keynotes going on connected world, the big news here, I'll see the open shift that's happening is going open. Open ran, it's been a big thing. Open ran alliance. You're starting to see the industry come together around this clear mandate that applications are gonna be cloud native and the public cloud is just coming in like a big wave and people are gonna be driftwood or they'll be surfing the wave. Yeah, this is what's happening. >>Yeah, I think public cloud is an unstoppable megatrend. It's hit every other industry regulated industries like banking, right? Top secret industries like government. They all use the public cloud tells us the last, you know, standing old school industry and it's coming and I don't think we could have had an MWc without talking about open man. That's the other major shift. And so we're bringing both of those ideas here together in cloud city. So >>the big theme is telco transformation. Maybe we could start with the basics like paint a picture of what the telco infrastructure looks like, particularly the data center stuff because they all have big data centers >>because that's >>those are the candidates to go into the cloud explained to the audience. >>Well, do you have a time machine? I think if any of us were in tech in the late 90s and early 2000s, that's what telcos like today. Right. So for people outside of the industry don't know right there mostly still managing their own data centers, they're just sort of adopting virtualization. Some of the more advanced telcos are mostly virtualized public cloud. Is this idea that like this advanced thought and so yeah, I mean things are on premise, things are in silom, things don't use a P. I. S there all integrated with custom code. And so the transformation, we can all see it because we've lived it in other industries. And I'm bringing that to telco and say come along for the ride. It totally works and it's gonna be amazing. >>So it's hardened purpose built infrastructure. Okay. That ultimately parts of that need to go to the public cloud. Right. What parts do you see going first? >>I think all of it. Really. Yeah. And I think when you look at like dish in the W. S. Which was an announcement that came out about two months ago. Right. I mean dish was doing all these are FPs. Everyone knew about it. They were looking for a cloud native software and no one knew what they were. They knew a big part was open man. But their coupling open ran with AWS and deploying their parts of their network onto the public cloud and the whole industry is like wait we thought this was years away, right? Or number two, you're crazy. And I'm saying this is what I've been talking about guys. This is exactly what you can do, leverage the Capex over. Let's see. I think Amazon did $100 billion 2020 right, leverage that Capex for yourself. Get that infinite scalability right? It's going to, well we >>have, we have a saying here in the queue, we just made this up called D. R. That's your initial tucker. The digital revolution and the three Rs reset re platform and re factor. I think the observation we're seeing is that you're coming in with the narrative what everyone's kind of like they're waking up because they have to reset and then re platform with the cloud. But the opportunity is gonna be the re factoring, You're seeing the public cloud, do that already with the Enterprise Enterprises. Already re factoring has done that. Already done that now. Telcos the last area to be innovated by the cloud. >>Yeah, I think there's old school big, we're kind of on a hollowed ground here in the Ericsson booth that I took over, right? They bailed and I kind of made fun of them. I was like, they don't have anything to say, right, They're not going to go to the show. I'm like, this is this is a revolution that's happening in telco and I don't think the big guys are really interested in rewriting their software that frankly makes them billions and billions of dollars of revenue. And I'm like to use the public cloud. All of the software needs to be rewritten needs to be re factored and you've got to start training your teams on how to use it. They don't have any capability. The telcos, in terms of those skills hire the right people, retrain your teams, move your applications, rewrite them. And I think that's what we're talking, this is not a short journey, this is a 10 year journey. So >>let's fast forward to the future a little bit because when I look around cloud city, I see ecosystem everywhere. So as you well know, the telcos have generally done a poor job of attacking adjacent seas. So my question is can they go beyond should they go beyond connectivity or is that going to be the role of the ecosystem? >>Yeah, I think it's time that the telco starts to focus on their subscriber, right? It's been really easy for them to rely on the oligopoly of the network, Right? The network, we live in the United States, we see the 18 T Verizon T mobile five G network, five G network. Like what about us? Right. And it's really easy for the over the top players right, that come in and they're always, telcos are always complaining about being coming dumb pipes and I'm like, you don't focus on the customer, we would rather buy from an Apple and amazon if they provided a mobile service because the customer experience will be better. Right? They need to start focusing on us. They have great businesses but they want to make them better. They need to start focusing on the subscriber, so >>it's a partnership with the ecosystem then for them to go beyond just straight connectivity because you're right, those are the brands that we want to do business >>with. You know, there was a great survey, Peter Atherton who will be talking as a speaker I think um I can't remember when he's talking but he was talking about how there was a survey done, where would you rather get your mobile service from? And it had a couple of big names in telco and then of course the obvious, you know, consumer brands, the ones that we all know and it was like overwhelmingly would rather buy from an amazon or an apple. And I'm like, this is like if you guys don't change, right, if telco doesn't change they keep rolling out 60 and blah blah blah. It's about the network and I don't start making about the subscriber right? Those revenues are going to continue to erode and they just sit there and complain about the O. T. T. Players. Like it's time to fight back. Yeah, I own the subscriber >>relationship. It's a digital revolution and I think This event really encapsulates in my mind this hybrid world here because it's physical events back. It's been since 2019 winter that this event actually happened. >>Well no it was even longer than, well I guess winter it was February of 19, right? And so like you look at ericsson and some of the big names that dropped out of the show, the time they come back, three years will have passed three years, right? This is how you feel your sales funnel is how you connect with your customers right? Tokyo is a very global, you know experience and so you gotta, you gotta get in front of people and you got to talk a >>lot of change to its happened, look at just what public clouds done in 2.5 years. You imagine three years being just >>gone, right? And I think a lot of people back to edition A. W. S. I think the industry was a little bit surprised by that announcement. So I've been telling executives if you were surprised by that, if you think that's, you know, if you don't know how that's gonna work, you need to come to cloud cities, you start meeting all the vendors are here. We have over 30 vendors, 70 demos, right? People who are pushing the technology forward, you need to learn what's going on here. We have several dish vendors here. Come learn about open rand, come learn about public cloud. So >>we're tight on time today, but we're going to have you back and we want to get into the tech, Get it to open, ran a little bit, get into what 5G and beyond and how we're going to take advantage of that and monetize it and what that all means. >>And also we want to hear what's going on the hallways. I know you got a lot of your key noting, you're gonna be a lot of events, the yacht. You've got a lot of briefings, >>yep. Yeah, I've already had two meetings this morning. I shot a video. Um, I met with one of the world's largest groups and I met with a tiny little super app company. Right? So running the gamut, doing everything reporter >>now, we could be like our roaming >>reporter. You know, I love, I love talking to execs and telco getting their perspective on what is public cloud and where are they going, what are they thinking about? And you talked to people who really, really get it and you get people who are just nascent and everywhere in between and I love mwc it's going great. >>Daniel Rose and you are a digital revolution telco DDR. There's amazing. Davis has been fantastic. Again for the folks watching, this is a hybrid events, there's an online component and we're reaching out with our remote interviews to get people brought in and we're shipping this content out to the masses all over the world. It's gonna be really amazing cube coverages here. It's gonna be rocking you guys are doing great. I just want to give you a compliment that you guys just did an amazing job. And of course we've got adam in the studio with the team. So adam, I'm gonna pass it off back to you in the studio

>>Hello and welcome back to the cubes coverage of dr khan 2021. I'm john for your host of the cube. Great guests here cube alumni Stephen Chin, vice president of developer relations for jay frog Stephen, great to see you again this remote this time this last time was in person. Our last physical event. We had you in the queue but great to see you. Thanks for coming in remotely. >>No, no, I'm very glad to be here. And also it was, it was awesome to be in person at our s a conference when we last talked and the last year has been super exciting with a whole bunch of crazy things like the I. P. O. And doing virtual events. So we've, we're transitioning to the new normal. We're looking forward to things getting to be hybrid. >>Great success with jay frog. We've been documenting the history of this company, very developer focused the successful I. P. O. And just the continuation that you guys have transitioned beautifully to virtual because you know, developer company, it runs virtual, but also you guys have been all about simplicity for developers and and we've been talking for many, many years with you guys on this. This is the theme that dr khan again, this is a developer conference, not so much an operator conference, but more of a deva deV developer focused. You guys have been there from the beginning, um nationally reported on it. But talk about jay Frog and the Doctor partnership and why is this event so important for you? >>Yeah. So I think um like like you said, jay Frog has and always is a developer focused company. So we we build tools and things which which focus on developer use cases, how you get your code to production and streamlining the entire devoPS pipeline. And one of the things which which we believe very strongly in and I think we're very aligned with with doctor on this is having secure clean upstream dependencies for your Docker images for other package and language dependencies and um you know, with the announcement of dr khan and dr Hubbs model changing, we wanted to make sure that we have the best integration with doctor and also the best support for our customers on with Docker hub. So one of the things we did strategically is um, we um combined our platforms so um you can get the best in class developer tools for managing images from Docker. Um everyone uses their um desktop tools for for building and managing your containers and then you can push them right to the best container registry for managing Docker Images, which is the jay frog platform. And just like Docker has free tools available for developers to use. We have a free tier which integrates nicely what their offerings and one of the things which we collaborate with them on is for anybody using our free tier in the cloud. Um there's there's no limits on the Docker images. You can pull no rate limiting, no throttling. So it just makes a clean seamless developer experience to to manage your cloud native projects and applications. >>What's the role of the container registry in cloud NATO? You brought that up? But can you just expand on that point? >>Yeah. So I think when you when you're doing deployments to production, you want to make sure both that you have the best security so that you're making sure that you're scanning and checking for vulnerabilities in your application and also that you have a complete um traceability. Basically you need a database in a log of everything you're pushing out to production. So what container registries allow you to do is um they keep all of the um releases all of the Docker images which are pushing out. You can go back and roll back to a previous version. You can see exactly what's included in those Docker images. And we jay frog, we have a product called X ray which does deep scanning of container images. So it'll go into the Docker Image, it'll go into any packages installed, it'll go into application libraries and it does kind of this onion peel apart of your entire document image to figure out exactly what you're using. Are there any vulnerabilities? And the funny thing about about Docker Images is um because of the number of libraries and packages and installed things which you haven't given Docker Image. If you just take your released Docker Image and let it sit on the shelf for a month, you have thousands of vulnerabilities, just just buy it um, by accruing from different reported zero day vulnerabilities over time. So it's extremely important that you, you know what those are, you can evaluate the risk to your organization and then mitigated as quickly as possible. If there is anything which could impact your customers, >>you bring up a great point right there and that is ultimately a developer thing that's been, that's generational, you know what generation you come from and that's always the problem getting the patches in the old days, getting a new code updated now when you have cloud native, that's more important than ever. And I also want to get your thoughts on this because you guys have been early on shift left two years ago, shift left was not it was not a new thing for you guys ever. So you got shift left building security at the point of coding, but you're bringing up a whole another thing which is okay automation. How do you make it? So the developments nothing stop what they're doing and then get back and say, okay, what's out there and my containers. So so how do you simplify that role? Because that's where the partnership, I think really people are looking to you guys and Dakar on is how do you make my life easier? Bottom line, what's it, what's it, what's it about? >>Yeah. So I I think when you when you're looking at trying to manage um large applications which are deployed to big kubernetes clusters and and how you have kind of this, this um all this infrastructure behind it. One of the one of the challenges is how do you know what you have that in production? Um So what, how do you know exactly what's released and what dependencies are out there and how easily can you trace those back? Um And one of the things which we're gonna be talking about at um swamp up next week is managing the overall devops lifecycle from code all the way through to production. Um And we we have a great platform for doing package management for doing vulnerability scanning, for doing um ci cd but you you need a bunch of other tools too. So you need um integrations like docker so you can get trusted packages into your system. You need integrations with observe ability tools like data, dog, elastic and you need it some tools for doing incident management like Patriot duty. And what we've, what we've built out um is we built out an ecosystem of partner integrations which with the J frog platform at the center lets you manage your entire and and life cycle of um devops infrastructure. And this this addresses security. It addresses the need to do quick patches and fixes and production and it kind of stitches together all the tools which all of the successful companies are using to manage their fast moving continuous release cycle, um and puts all that information together with seamless integration with even developer tools which um which folks are using on a day to day basis, like slack jeer A and M. S. Teams. >>So the bottom line then for the developer is you take the best of breed stuff and put it, make it all work together easily. That right? >>Yeah. I mean it's like it's seamless from you. You've got an incidents, you click a button, it sticks Ajira ticket in for you to resolve. Um you can tie that with the code, commits what you're doing and then directly to the security vulnerability which is reported by X ray. So it stitches all these different tools and technologies together for a for a seamless developer experience. And I think the great relationship we have with Docker um offers developers again, this this best in class container management um and trusted images combined with the world's best container registry. >>Awesome. Well let's get into that container issue products. I think that's the fascinating and super important thing that you guys solve a big problem for. So I gotta ask you, what are the security risks of using unverified and outdated Docker containers? Could you share your thoughts on what people should pay attention to because if they got unverified and outdated Docker containers, you mentioned vulnerabilities. What are those specific risks to them? >>Yeah, so I there's there's a lot of um different instances where you can see in the news or even some of the new government mandates coming out that um if you're not taking the right measures to secure your production applications and to patch critical vulnerabilities and libraries you're using, um you end up with um supply chain vulnerability risks like what happened to solar winds and what's been fueling the recent government mandates. So I think there's a there's a whole class of of different vulnerabilities which um bad actors can exploit. It can actually go quite deep with um folks um exploiting application software. Neither your your company or in other people's systems with with the move to cloud native, we also have heavily interconnected systems with a lot of different attack points from the container to the application level to the operating system level. So there's multiple different attack vectors for people to get into your software. And the best defense is an organization against security. Vulnerabilities is to know about them quickly and to mitigate them and fix them in production as quickly as possible. And this requires having a fast continuous deployment strategy for how you can update your code quickly, very quick identification of vulnerabilities with tools like X ray and other security scanning tools, um and just just good um integration with tools developers are using because at the end of the day it's the developers who both are picking the libraries and dependencies which are gonna be pushed into production and also they're the ones who have to react and and fix it when there's a uh production incident, >>you know, machine learning and automation. And it's always, I love that tech because it's always kind of cool because it's it's devops in action, but you know, it's it's not like a silver bullet, your machine, your machine learning is only as good as your your data and the code is written on staying with automation. You're not automating the right things or or wrong things. It's all it's all subjective based on what you're doing and you know Beauty's in the eye of the beholder when you do things like that. So I wanna hear your thoughts on on automation because that's really been a big part of the story here, both on simplicity and making the load lighter for developers. So when you have to go out and look at modifying code updates and looking at say um unverified containers or one that gets a little bit of a hair on it with with with more updates that are needed as we say, what do you what's the role of automation? How do you guys view that and how do you talk to the developers out there when posturing for a strategy on and a playbook for automation? >>Yeah, I think you're you're touching on one of the most critical parts of of any good devops um platform is from end to end. Everything should be automated with the right quality gates inserted at different points so that if there's a um test failure, if you have a build failure, if you have a security vulnerability, the the automatic um points in there will be triggered so that your release process will be stopped um that you have automated rollbacks in production um so that you can make sure that their issues which affect your customers, you can quickly roll back and once you get into production um having the right tools for observe ability so that you can actually sift through what is a essentially a big data problem. So with large systems you get so much data coming back from your application, from the production systems, from all these different sources that even an easy way to sift through and identify what are the messages coming back telling you that there's a problem that there's a real issue that you need to address versus what's just background noise about different different processes or different application alerts, which really don't affect the security of the functionality of your applications. So I think this this end to end automation gives you the visibility and the single pane of glass to to know how to manage and diagnose your devops infrastructure. >>You know, steve you bring up a great point. I love this conversation because it always highlights to me why I love uh Coop Con and Cloud Native con part of the C N C F and dr khan, because to me it's like a microcosm of two worlds that are living together. Right? You got I think Coop khan has proven its more operated but not like operator operator, developer operators. And you got dr khan almost pure software development, but now becoming operators. So you've got that almost those two worlds are fusing together where they are running together. You have operating concerns like well the Parachute open, will it work? And how do I roll back these roll back? These are like operating questions that now developers got to think about. So I think we're seeing this kind of confluence of true devops next level where you can't you can be just a developer and have a little bit of opposite you and not be a problem. Right? Or or get down under the under the hood and be an operator whenever you want. So they're seeing a flex. What's your thoughts on this is just more about my observation kind of real time here? >>Yeah, so um I think it's an interesting, obviously observation on the industry and I think you know, I've been doing DEVOPS for for a long time now and um I started as a developer who needed to push to production, needed to have the ability to to manage releases and packages and be able to automate everything. Um and this naturally leads you on a path of doing more operations, being able to manage your production, being able to have fewer incidents and issues. Um I think DEVOPS has evolved to become a very complicated um set of tools and problems which it solves and even kubernetes as an example. Um It's not easy to set up like setting up a kubernetes cluster and managing, it is a full time job now that said, I think what you're seeing now is more and more companies are shifting back to developers as a focus because teams and developers are the kingmakers ends with the rise of cloud computing, you don't need a full operations team, you don't need a huge infrastructure stack, you can you can easily get set up in the cloud on on amazon google or as your and start deploying today to production from from a small team straight from code to production. And I think as we evolve and as we get better tools, simpler ways of managing your deployments of managing your packages, this makes it possible for um development teams to do that entire site lifecycle from code through to production with good quality checks with um good security and also with the ability to manage simple production incidents all by themselves. So I think that's that's coming where devoPS is shifting back to development teams. >>It's great to have your leadership and your experience. All right there. That's a great call out, great observation, nice gym there. I think that's right on. I think to get your thoughts if you don't mind going next level because you're, you're nailing what I see is the successful companies having these teams that could be and and workflows and have a mix of a team. I was talking about Dana Lawson who was the VP of engineering get up and she and I were riffing on this idea that you don't have to have a monolithic team because you've got you no longer have a monolithic environment. So you have this microservices and now you can have these, I'm gonna call micro teams, but you're starting to see an SRE on the team, that's the developer. Right? So this idea of having an SRE department maybe for big companies, that could be cool if you're hyper scalar, but these development teams are having certain formations. What's your observation to your customer base in terms of how your customers are organizing? Because I think you nailed the success form of how teams are executing because it's so much more agile, you get the reliability, you need to have security baked in, you want end to end visibility because you got services starting and stopping. How are teams? How are you seeing developers? What's the state of the art in your mind for formation? >>Yeah, so I think um we we work with a lot of the biggest companies who were really at the bleeding edge of innovation and devoPS and continuous delivery. And when you look at those teams, they have, they have very, very small teams, um supporting thousands of developers teams um building and deploying applications. So um when you think of of SRE and deVOPS focus there is actually a very small number of those folks who typically support humongous organizations and I think what we're hearing from them is their increasingly getting requirements from the teams who want to be self service, right? They want to be able to take their applications, have simple platforms to deploy it themselves to manage things. Um They don't they don't want to go through heavy way processes, they wanted to be automated and lightweight and I think this is this is putting pressure on deVOPS teams to to evolve and to adopt more platforms and services which allow developers to to do things themselves. And I think over time um this doesn't this doesn't get rid of the need for for devops and for SRE roles and organizations but it it changes because now they become the enablers of success and good development teams. It's it's kind of like um like how I. T. Organizations they support you with automated rollouts with all these tools rather than in person as much as they can do with automation. Um That helps the entire organization. I think devops is becoming the same thing where they're now simplifying and automating how developers can be self service and organizations. >>And I think it's a great evolution to because that makes total sense because it is kind of like what the I. T. Used to do in the old days but its the scale is different, the services are different, the deVOPS tools are different and so they really are enabling not just the cost center there really driving value. Um and this brings up the whole next threat. I'd love to get your thoughts because you guys are, have been doing this for developers for a while. Tools versus platform because you know, this whole platform where we're a platform were control plane, there's still a need for tooling for developers. How do we thread the needle between? What's, what's good for a tool? What's good for a platform? >>Yeah, So I I think that um, you know, there's always a lot of focus and it's, it's easier if you can take an end to end platform, which solves a bunch of different use cases together. But um, I I think a lot of folks, um, when you're looking at what you need and how you want to apply, um, devops practices to your organization, you ideally you want to be able to use best in breed tools to be able to solve exactly what your use cases. And this is one of the reasons why as a company with jay frog, we we try to be as open as possible to integrations with the entire vendor ecosystem. So um, it doesn't matter what ci cd tool you're using, you could be using Jenkins circle, ci spinnaker checked on, it doesn't matter what observe ability platform you're using in production, it doesn't matter what um tools you're using for collaboration. We, we support that whole ecosystem and we make it possible for you to select the the best of breed tools and technologies that you need to be successful as an organization. And I think the risk is if, if you, if you kind of accept vendor lock in on a single platform or or a single cloud platform even um then you're, you're not getting the best in breed tools and technologies which you need to stay ahead of the curve and devops is a very, very fast moving um, um, discipline along with all the cloud native technologies which you use for application development and for production. So if you're, if you're not staying at the bleeding edge and kind of pushing things forward, then you're then you're behind and if you're behind, you're not be able to keep up with the releases, the deployments, you need to be secure. So I think what you see is the leading organizations are pushing the envelope on on security, on deployment and they're they're using the best tools in the industry to make that happen. >>Stephen great to have you on the cube. I want to just get your thoughts on jay frog and the doctor partnership to wrap this up. Could you take them in to explain what's the most important thing that developers should pay attention to when it comes to security for Docker images? >>Yeah. So I think when you're when you're developer and you're looking at your your security strategy, um you want tools that help you that come to you and that help you. So you want things which are going to give you alerts in your I. D. With things which are going to trigger your in your Ci cd and your build process. And we should make it easy for you to identify mitigate and release um things which will help you do that. So we we provide a lot of those tools with jay frog and our doctor partnership. And I think if you if you look at our push towards helping developers to become more productive, build better applications and more secure applications, this is something the entire industry needs for us to address. What's increasingly a risk to software development, which is a higher profile vulnerabilities, which are affecting the entire industry. >>Great stuff. Big fan of jay frog watching you guys be so successful, you know, making things easy for developers is uh, and simpler and reducing the steps it takes to do things as a, I say, is the classic magic formula for any company, Make it easier, reduce the steps it takes to do something and make it simple. Um, good success formula. Great stuff. Great to have you on um for a minute or two, take a minute to plug what's going on in jay frog and share what's the latest increase with the company, what you guys are doing? Obviously public company. Great place to work, getting awards for that. Give the update on jay frog, put a plug in. >>Yeah. And also dr Frog, I've been having a lot of fun working at J frog, it's very, very fast growing. We have a lot of awesome announcements at swamp up. Um like the partnerships were doing um secure release bundles for deployments and just just a range of advances. I think the number of new features and innovation we put into the product in the past six months since I. P. O. Is astounding. So we're really trying to push the edge on devops um and we're also gonna be announcing and talking about stuff that dr khan as well and continue to invest in the cloud native and the devops ecosystem with our support of the continuous delivery foundation and the C. N C F, which I'm also heavily involved in. So it's it's exciting time to be in the devoPS industry and I think you can see that we're really helping software developers to improve their art to become better, better at release. Again, managing production applications >>and the ecosystem is just flourishing. It's only the beginning and again Making bring the craft back in Agile, which is a super big theme this year. Stephen. Great, great to see you. Thanks for dropping those gems and insights here on the Cube here at Dr. 2021 virtual. Thanks for coming on. >>Yeah. Thank you john. >>Okay. Dr. 2020 coverage virtual. I'm John for your host of the Cube. Thanks for watching. Mhm. Mhm. Yeah.

>>Welcome back everyone to Dell Technologies World 2021 the virtual version. You're watching the cubes continuing coverage of the event and we're gonna talk about the Edge, the transformation of telco in the future of our expanding tech universe. With me is Aaron Jason, who's the vice president? Edge and Telkom marketing at Dell Technologies erin great to see you. I love this topic. >>Absolutely. It's it's pretty popular these days. I'm glad to be here with you. Thanks. >>It is popular, you know, cloud was kind of the shiny new toy last decade and it's still growing at double digits but it's kind of mainstream and now the Edge is all the rage. What's the best way to think about? What is the Edge? How do you define that? >>Yeah, you know, that's probably one of the most common questions I get is we start really doubling down on what we're doing it in the Edge world today. Um you know, I tried to basically not overcomplicated too much, you know, last year we really tried to to talk about it as being where you're the physical world, in the virtual world, connect. Um but you know, really it's more about what customers are looking to do with that technology. And so what we're really thinking about it today is the edges really where customers data is being used near point of generation to really define and build the essential value for that customer and that essential value is gonna be different in each vertical in each industry. Right? So in manufacturing, that essential value is created in the factory and retail, it's going to be, you know, at point of sale, whether that's in a store or on your device, in a virtual interaction, um in health care, it's going to be the point of care, Right? So it's gonna be the ambulance or the emergency room or the radiology lab. and of course in farming that essential values created in the field itself. So um, you know, for for many customers, it's really trying to figure out, you know, how do they take technology closer to the point of that value creation to be able to drive new new capabilities for the business, whether it's for what they're trying to accomplish or what they're trying to do in helping their customers. So really that's how we're thinking about the edge today. It's where that value generation occurs for a company. And how do we take technology to that point of generation to deliver value for them? >>Yeah, I like that. I mean to me the edge, I know what it's not, I know the edges, not a mega data center, but but everything else could be the edge. I mean, it's it's to me it's the place that's the most logical, the most logical place to process the data. So as you say, it could be a factory, it could be a hospital, it could be a retail store, it could be, could be a race track, it could be a farm, I mean virtually anything. So the edges, it's always been here, but it's changing. I mean most of the edge data has historically been analog. Everything now is getting instrumented. What are the factors that you think will make this, this industry's vision of the edge real in your opinion? >>Yeah. You know, it's it's really bringing together a handful of technologies that have really started to mature after over the last decade or so. Um the ones that have been around for a little bit, things like IOT have been emerging in the last several years. Um even Ai and machine learning many of those algorithms have been around for decades, but we've only recently been able to bring the compute power required to do that in edge environments in the last decade or so. Um it's so really the two key sort of killer technologies that have matured in the last couple of years is really the mic realization of computing. So being able to put compute almost anywhere on the planet and then the emergence of five G networking, giving us the ability to provide very high performance, low latency and high bandwidth environments to connect all those things together and get the data to those analytics environments. From that computer perspective. I mean, I still like to talk about moore's law as an example of that that ever marched that's been going on for, you know, half a century or more now is continuing to push forward um at a rate that is that that that that just really hasn't slowed down for the most part, you know, the example that I use with people, as, you know, you know, I still remember when I got my first calculator watch as a kid, you know, that Casio calculator watch that so many of us had, And my dad told me the story when he gave it to me, he's like, Hey, look, this has the same amount of compute power as the landing module on the moon, and I didn't know it at the time, but that was my first sort of entry and education around what Moore's law provided. And it's not so much speed. I mean, people think about that as it doubles in speed every 18 months, but it's really more about the density of compute that happens that moore's law drought, pushes along, so I can now squish more and more compute power into a smudge smaller location and I can now take that performance out to the edge in a way that I haven't been able to do before. I mean I think about my history, I joined E M C, that was acquired by Dell Technologies a couple years back. I joined that back in the late nineties when the biggest baddest storage array on the planet was one whole terabyte in size. And now I can fit that in the palm of my hand. In fact, when I walk around, you know, when I used to walk around with my, with my back, my laptop and go into offices, um you know, if I had my laptop and my tablet and my my my smartwatch, I had 12 to 16 cores on me and a couple of terabytes of capacity all connected with the equivalent of tens of T ones. Right? So what was once a small or or a mid sized data center just in the last decade or so? We now all walk around a small data centers and the power that that compute now brings to the edge allows us to take analytics that was really once done in data centers. I may have captured it at the edge, but I had to move it into a data lake. I had to stage it and analyze it. It was more of a historical way of looking at data. Now I can put compute right next to the point of data generation and give insight instantaneously as data is being generated. And that's opening up whole new ways that industries can drive new value for them and for their customers. And that's really what's exciting about it is this combination of these technologies that are all sort of maturing and coming together at the same time. Um, and there's just so much doing, it happened that space and devils really, really excited to be part of bringing that into these environments for our customers. >>I'm gonna give you a stat that a lot of people, I don't, I don't think realize, uh, you talked about moore's law and you're absolutely right. It's really, you know, technically moore's law is about the density, right? But the outcome of being able to do that is performance. And if you do the math, you know, moore's law doubling performance every two years, roughly, The math on that is that means 44 improvement per year in performance. Everybody talks about how moore's laws is dead. It's not, it's just changing. Here's the, here's the stat. If you take a system on a chip, take like for instance apples a 14 and go back five years from 2015 to 2021. If you add up the performance of the CPU the combinatorial factors of the CPU gpu and in the N. P. U. The neural processing unit, just those three, The growth rate has been 118 a year vs 44%. So it's actually accelerating and that doesn't include the accelerators and the DSPS and all the other alternative processors. So, and to your point and by the way that a 14 shipping cost Apple 50 bucks. So and and that fits in the palm of your hand to the point that you were just making So imagine that processing power at the edge most of of of of of ai today is modeling, let's say in the cloud, the vast majority is going to be a i influencing at the edge. So you are right on on that point. >>Yeah, there's no question about it. So, to your point, I mean, moore's law is just of course CPU itself. All right. And it comes out to roughly, on average, it's about 10 x every five years. 100 X every 10 years, 1000 X every 15 years. I mean, it's incredible how much power you can put in a small footprint today. And then if you factor in the accelerators and everything else um, it's actually if anything that innovation is going faster and faster and to your point, um you know, the while the modeling is still going to typically happen in data centers as you pull together lots of different data sets to be able to analyze and create new models. But those models are getting pushed right out to the edge on these compute devices literally feet away at times from the point of data generation to be able to give us really real time analytics and influencing. The other cool thing about this too is you know we're going from sort of more looking backwards and making business analytics based on what has already happened in the past to being able to do that in the very near past. And of course now with modern analytics and models that are being created for ai we're able to do more predictive analytics so we can actually identify errors, identify challenges before they even occur based on pattern matching that they're saying. Um So it's really opening up new doors and new areas that we've never been able to see before that's really all powered by by these capabilities. >>It's insane the amount of data that is coming. We think data is overwhelming today. You ain't seen nothing yet. Um Now erin you cover the edge and the telecom business up. I was beside it when I when I when I found that out because the telecom businesses is ripe for transformation. Um So what do you how is Dell thinking about that? Why are you sort of putting those together? What are the synergies that you see in in the commonalities in those 22 sectors? >>Yeah. I mean at the end of the day it's really all about serving the enterprise customers in the in the organizations of all kinds um that the industry is trying to bring these edge technologies too and that's no different with the telecommunications industry. Right? So you know when when the when the four G world changed about 10 years ago um you know the telecom industry was able to bring the plumbing the network piping out to all the endpoints but they really didn't capture the over the top revenue opportunities that Four G technologies opened up right. That really went to the hyper scholars. It went to you know, a lot of the companies that we all know and love like uh you know, Uber and Airbnb and netflix and others um and that really when the four Gr that was really more about opening up consumer opportunities as we move to five G. And as we move these ultra low latency and high bandwidth capabilities out to the enterprise edge, it's really the B two B opportunities that are opening up and so on the telecom side we're partnering with the telecommunication companies to modernize their network, enroll five G. L. Quickly. But one of the more important things is that we're partnering with them to be able to build services over the top of that that they can then sell into their customer base and their business customer base. So whether that's mech, whether that's private mobility, um delivering data services over the top of those networks, there's a tremendous opportunity for the telecoms to be able to go and capture um Ed revenue opportunities and we're here to help them to partner with them to be able to do that. Now if you put yourself in the shoes of the customer, the enterprise business, a manufacturer or retail, who's looking to be able to leverage these technologies, there's a variety of ways in which they're going to be able to to to consume these technologies. In some cases they'll be getting it direct from vendors direct from Dell Technologies and others. They might be using solutions integrators to be able to combine these technologies together for a particular solution. They may get some of those technologies from their telecom provider and even others, they might get it from the cloud provider. So um Dell wants to make sure that we're being able to help our customers across a variety of ways in which they want to consume those technologies and we have to businesses focused on that. We've got one business focused on edge solutions where we partner with oT vendors closely as well as cloud providers to be able to provide a technology and infrastructure based on which we can consolidate edge workloads To be able to allow customers that want to be able to run those um those services on prem and by those from a direct vendor. Um there's other customers that want to get those through the telecoms. And so we work closely with the telecommunication providers to provide them that modern cloud native disaggregated network that they're looking to build to support 5G. And then help them build those services on the top that they can sell either way whether the customer wants to get that from a vendor like Dell or from a service provider like like uh like an A T and T and Verizon or others. Um Dell looks to partner with them and be a way to provide that underlying infrastructure that connects all of that together for them. >>Well, I mean the beauty of the telco networks is their hardened. But the problem for the telco networks is they're they're hardened and so you've got the over over the top vendors bow guarding their network. The cost per bit is coming down, data is going through the roof and the telcos can't, they can't participate in that over the top and get to those subscribers. But with Five G. And the technologies that you're talking about bringing to the telecoms world, they're they're gonna transform and many are going to start competing directly and this is just a whole new world out there. I wonder Aaron if you could talk about um what you're specifically talking about at Del Tech World this year as it relates to Edge. >>Sure. So the both of the businesses hedge in telecom have a couple announcements this year. This this year, Deltek World, um starting with Edge um as you may recall back in uh in in the fall of last year when we had our last technologies world, we announced our intent to launch an edge business. Um so that that was formulated and stood up over the last couple of months and and we're really focusing on a couple of different areas. How do we look at our overall Dell technologies portfolio and be able to bring particular products and solutions that exist already and be able to apply those uh to edge use cases. We're looking at building a platform which would allow us to be able to consolidate a variety of workloads. And of course we're working on partnerships specifically in the ot space to be able to vertical eyes these offers to help particular uh particular industries. Right now we're focusing on manufacturing and retail but we'll expand that over time. So at Del Tech World this year we're launching our first set of of solutions family which is going to be the Dell Technologies manufacturing edge solutions, the first one that's gonna be launching as a reference architecture with PTC um thing works on top of what we're also proud to be announcing this week, which is our apex private cloud offering. So this is the first example of of of a partnership with an O. T. Provider on top of apex private cloud so that we can bring in as a service platform offering to the Enterprise edge uh for manufacturers. And combined with one of the industry's leading oT software vendors of thing works. So that's one of the solutions were doing um we're also looking to launch a product which is we're taking our existing um streaming data platform from our unified storage team and taking that, which was once running in the data center out to edge these cases as well. And that allows us to be able to capture click stream data in manufacturing and other environments, buffer and cash that in a in an appliance and then be able to move that off to a data like for longer term analytics. While it's in that buffered state though we open provide a P. I. S. So that you can actually do real time influencing against those click stream data as it's flowing through the appliance on its way to the data lake for longer term analytics. So those are two key areas that we're gonna be focusing on from an edge perspective on the telecom side. Um we're really this is going to be a big year from us as we move towards creating a common end end five G platform from quarter Iran and then also start focusing on partnerships and ecosystems on top of that platform. Uh last week at Red hat summit we actually announced a reference architecture for red hat. Open shift on top of Dell technologies infrastructure servers and networking. And here at Dell technologies world. This week we're announcing a reference architecture with VM ware. So running VM ware telecom cloud platform. Also on top of Dell technologies. Power edge servers and power such as um so this allows us to create that foundation that open cloud native. These are container and virtual layers on top of our hard work to give that that cloud native disaggregated uh, network claim to be able to now run and build core edge and ran solutions on top of and you'll be hearing more about what we're doing in this space in the coming months. >>Nice. That's great. The open ran stuff is really exciting now, last question. So mobile world Congress, the biggest telco show is coming up in late june Yeah, still on. According to the G S M, a lot of people have tapped out um, and but the cube is planning to be there with a hybrid presence, both virtual and physical. We'll see um I wonder if there's anything you want to talk about just in terms of what's happening in telco telco transformation, you guys got any get any events coming up, what can you tell us? >>Yeah, so we took a close look at mobile world congress and and uh this has been a challenging year for everybody. Um you know, Dell as well as many other vendors made the decision this year that we would actually not participate, but we look forward to participating uh with full gusto next year when it's back in a physical environment. Um So what we've decided to do is we are going to be having our own virtual launch event on june 9th. Um And in that event, the theme of that is going to be the modern ecosystem in the neighboring leveraging the power of open. Um So we'll be talking a little bit more about what we're doing from that open cloud, native network infrastructure and then also talk a little bit more about what Dell technologies looking to do to bring a broad ecosystem of technology vendors together and deliver that ecosystem platform for the telecom industry. So registration actually opens this week at Dell Technologies World. So if you go to Dell technologies dot com can register for the event. Um we're really excited to be talking to the telecom providers and also other hardware and software vendors that are in that space to see how we can work together to really drive this next generation of five G. >>That's awesome. I'll be looking for that and and look forward to collaborating with you on that, bringing your thought leadership and the cube community we would really love to to partner on that. Aaron, thanks so much for coming to the cube. Really exciting area and best of luck to you. >>Right. Thank you. I appreciate the time. >>All right. And thank you for watching everybody says Dave Volonte for the Cubes, continuous coverage of Del Tech World 2021. The virtual version will be right back right after this short break.

>>mhm Yes, Welcome back to the cubes coverage of red hat summit 2021 virtual, which we were in person this year but we're still remote. We still got the Covid coming around the corner. Soon to be in post. Covid got a great guest here, Clayton Coleman architect that red hat cuba love and I've been on many times expanded role again this year. More cloud, more cloud action. Great, great to see you. Thanks for coming on. >>It's a pleasure >>to be here. So great to see you were just riffing before we came on camera about distributed computing uh and the future of the internet, how it's all evolving, how much fun it is, how it's all changing still. The game is still the same, all that good stuff. But here at Red had some and we're gonna get into that, but I want to just get into the hard news and the real big, big opportunities here you're announcing with red hat new managed cloud services portfolio, take us through that. >>Sure. We're continuing to evolve our open shift managed offerings which has grown now to include um the redhead open shift service on amazon to complement our as your redhead open shift service. Um that means that we have um along with our partnership on IBM cloud and open ship dedicated on both a W S and G C P. We now have um managed open shift on all of the major clouds. And along with that we are bringing in and introducing the first, I think really the first step what we see as uh huh growing and involving the hybrid cloud ecosystem on top of open shift and there's many different ways to slice that, but it's about bringing capabilities on top of open shift in multiple environments and multiple clouds in ways that make developers and operation teams more productive because at the heart of it, that's our goal for open shift. And the broader, open source ecosystem is do what makes all of us safer, more, uh, more productive and able to deliver business value? >>Yeah. And that's a great steak you guys put in the ground. Um, and that's great messaging, great marketing, great value proposition. I want to dig into a little bit with you. I mean, you guys have, I think the only native offering on all the clouds out there that I know of, is that true? I mean, you guys have, it's not just, you know, you support AWS as your and I B M and G C P, but native offerings. >>We do not have a native offering on GCPD offered the same service. And this is actually interesting as we've evolved our approach. You know, everyone, when we talk about hybrid, Hybrid is, um, you know, dealing with the realities of the computing world, We live in, um, working with each of the major clouds, trying to deliver the best immigration possible in a way that drives that consistency across those environments. And so actually are open shift dedicated on AWS service gave us the inspiration a lot of the basic foundations for what became the integrated Native service. And we've worked with amazon very closely to make sure that that does the right thing for customers who have chosen amazon. And likewise, we're trying to continue to deliver the best experience, the best operational reliability that we can so that the choice of where you run your cloud, um, where you run your applications, um, matches the decisions you've already made and where your future investments are gonna be. So we want to be where customers are, but we also want to give you that consistency. That has been a hallmark of um of open shift since the beginning. >>Yeah. And thanks for clarifying, I appreciate that because the manage serves on GCB rest or native. Um let me ask about the application services because Jeff Barr from AWS posted a few weeks ago amazon celebrated their 15th birthday. They're still teenagers uh relatively speaking. But one comment he made that he that was interesting to me. And this applies kind of this cloud native megatrend happening is he says the A. P. I. S are basically the same and this brings up the hybrid environment. You guys are always been into the api side of the management with the cloud services and supporting all that. As you guys look at this ecosystem in open source. How is the role of A PS and these integrations? Because without solid integration all these services could break down and certainly the open source, more and more people are coding. So take me through how you guys look at these applications services because many people are predicting more service is going to be on boarding faster than ever before. >>It's interesting. So um for us working across multiple cloud environments, there are many similarities in those mps, but for every similarity there is a difference and those differences are actually what dr costs and drive complexity when you're integrating. Um and I think a lot of the role of this is, you know, the irresponsible to talk about the role of an individual company in the computing ecosystem moving to cloud native because as many of these capabilities are unlocked by large cloud providers and transformations in the kinds of software that we run at scale. You know, everybody is a participant in that. But then you look at the broad swath of developer and operator ecosystem and it's the communities of people who paper over those differences, who write run books and build um you know, the policies and who build the experience and the automation. Um not just in individual products or an individual clouds, but across the open source ecosystem. Whether it's technologies like answerable or Terror form, whether it's best practices websites around running kubernetes, um every every part of the community is really involved in driving up uh driving consistency, um driving predictability and driving reliability and what we try to do is actually work within those constraints um to take the ecosystem and to push it a little bit further. So the A. P. I. S. May be similar, but over time those differences can trip you up. And a lot of what I think we talked about where the industry is going, where where we want to be is everyone ultimately is going to own some responsibility for keeping their services running and making sure that their applications and their businesses are successful. The best outcome would be that the A. P. R. S are the same and they're open and that both the cloud providers and the open source ecosystem and vendors and partners who drive many of these open source communities are actually all working together to have the most consistent environment to make portability a true strength. But when someone does differentiate and has a true best to bring service, we don't want to build artificial walls between those. I mean, I mean, that's hybrid cloud is you're going to make choices that make sense for you if we tell people that their choices don't work or they can't integrate or, you know, an open source project doesn't support this vendor, that vendor, we're actually leaving a lot of the complexity buried in those organizations. So I think this is a great time to, as we turn over for cloud. Native looking at how we, as much as possible try to drive those ap is closer together and the consistency underneath them is both a community and a vendor. And uh for red hat, it's part of what we do is a core mission is trying to make sure that that consistency is actually real. You don't have to worry about those details when you're ignoring them. >>That's a great point. Before I get into some architectural impact, I want to get your thoughts on um, the, this trends going on, Everyone jumps on the bandwagon. You know, you say, oh yeah, I gotta, I want a data cloud, you know, everything is like the new, you know, they saw Snowflake Apollo, I gotta have some, I got some of that data, You've got streaming data services, you've got data services and native into the, these platforms. But a lot of these companies think it's just, you're just gonna get a data cloud, just, it's so easy. Um, they might try something and then they get stuck with it or they have to re factor, >>how do you look >>at that as an architect when you have these new hot trends like say a data cloud, how should customers be thinking about kicking the tires on services like that And how should they think holistically around architect in that? >>There's a really interesting mindset is, uh, you know, we deal with this a lot. Everyone I talked to, you know, I've been with red hat for 10 years now in an open shift. All 10 years of that. We've gone through a bunch of transformations. Um, and every time I talked to, you know, I've talked to the same companies and organizations over the last 10 years, each point in their evolution, they're making decisions that are the right decision at the time. Um, they're choosing a new capability. So platform as a service is a great example of a capability that allowed a lot of really large organizations to standardize. Um, that ties into digital transformation. Ci CD is another big trend where it's an obvious wind. But depending on where you jumped on the bandwagon, depending on when you adopted, you're going to make a bunch of different trade offs. And that, that process is how do we improve the ability to keep all of the old stuff moving forward as well? And so open api is open standards are a big part of that, but equally it's understanding the trade offs that you're going to make and clearly communicating those so with data lakes. Um, there was kind of the 1st and 2nd iterations of data lakes, there was the uh, in the early days these capabilities were knew they were based around open source software. Um, a lot of the Hadoop and big data ecosystem, you know, started based on some of these key papers from amazon and google and others taking infrastructure ideas bringing them to scale. We went through a whole evolution of that and the input and the output of that basically let us into the next phase, which I think is the second phase of data leak, which is we have this data are tools are so much better because of that first phase that the investments we made the first time around, we're going to have to pay another investment to make that transformation. And so I've actually, I never want to caution someone not to jump early, but it has to be the right jump and it has to be something that really gives you a competitive advantage. A lot of infrastructure technology is you should make the choices that you make one or two big bets and sometimes people say this, you call it using their innovation tokens. You need to make the bets on big technologies that you operate more effectively at scale. It is somewhat hard to predict that. I certainly say that I've missed quite a few of the exciting transformations in the field just because, um, it wasn't always obvious that it was going to pay off to the degree that um, customers would need. >>So I gotta ask you on the real time applications side of it, that's been a big trend, certainly in cloud. But as you look at hybrid hybrid cloud environments, for instance, streaming data has been a big issue. Uh any updates there from you on your managed service? >>That's right. So one of we have to manage services um that are both closely aligned three managed services that are closely aligned with data in three different ways. And so um one of them is redhead open shift streams for Apache Kafka, which is managed cloud service that focuses on bringing that streaming data and letting you run it across multiple environments. And I think that, you know, we get to the heart of what's the purpose of uh managed services is to reduce operational overhead and to take responsibilities that allow users to focus on the things that actually matter for them. So for us, um managed open shift streams is really about the flow of data between applications in different environments, whether that's from the edge to an on premise data center, whether it's an on premise data center to the cloud. And increasingly these services which were running in the public cloud, increasingly these services have elements that run in the public cloud, but also key elements that run close to where your applications are. And I think that bridge is actually really important for us. That's a key component of hybrid is connecting the different locations and different footprints. So for us the focus is really how do we get data moving to the right place that complements our API management service, which is an add on for open ship dedicated, which means once you've brought the data and you need to expose it back out to other applications in the environment, you can build those applications on open shift, you can leverage the capabilities of open shift api management to expose them more easily, both to end customers or to other applications. And then our third services redhead open shift data science. Um and that is a, an integration that makes it easy for data scientists in a kubernetes environment. On open shift, they easily bring together the data to make, to analyze it and to help route it is appropriate. So those three facets for us are pretty important. They can be used in many different ways, but that focus on the flow of data across these different environments is really a key part of our longer term strategy. >>You know, all the customer checkboxes there you mentioned earlier. I mean I'll just summarize that that you said, you know, obviously value faster application velocity time to value. Those are like the checkboxes, Gardner told analysts check those lower complexity. Oh, we do the heavy lifting, all cloud benefits, so that's all cool. Everyone kind of gets that, everyone's been around cloud knows devops all those things come into play right now. The innovation focuses on operations and day to operations, becoming much more specific. When people say, hey, I've done some lift and shift, I've done some Greenfield born in the cloud now, it's like, whoa, this stuff, I haven't seen this before. As you start scaling. So this brings up that concept and then you add in multi cloud and hybrid cloud, you gotta have a unified experience. So these are the hot areas right this year, I would say, you know, that day to operate has been around for a while, but this idea of unification around environments to be fully distributed for developers is huge. >>How do you >>architect for that? This is the number one question I get. And I tease out when people are kind of talking about their environments that challenges their opportunities, they're really trying to architect, you know, the foundation that building to be um future proof, they don't want to get screwed over when they have, they realize they made a decision, they weren't thinking about day to operation or they didn't think about the unified experience across clouds across environments and services. This is huge. What's your take on this? >>So this is um, this is probably one of the hardest questions I think I could get asked, which is uh looking into the crystal ball, what are the aspects of today's environments that are accidental complexity? That's really just a result of the slow accretion of technologies and we all need to make bets when, when the time is right within the business, um and which parts of it are essential. What are the fundamental hard problems and so on. The accidental complexity side for red hat, it's really about um that consistent environment through open shift bringing capabilities, our connection to open source and making sure that there's an open ecosystem where um community members, users vendors can all work together to um find solutions that work for them because there's not, there's no way to solve for all of computing. It's just impossible. I think that is kind of our that's our development process and that's what helps make that accidental complexity of all that self away over time. But in the essential complexity data is tied the location, data has gravity data. Lakes are a great example of because data has gravity. The more data that you bring together, the bigger the scale the tools you can bring, you can invest in more specialized tools. I've almost do that as a specialization centralization. There's a ton of centralization going on right now at the same time that these new technologies are available to make it easier and easier. Whether that's large scale automation um with conflict management technologies, whether that's kubernetes and deploying it in multiple sites in multiple locations and open shift, bringing consistency so that you can run the apps the same way. But even further than that is concentrating, mhm. More of what would have typically been a specialist problem, something that you build a one off around in your organization to work through the problem. We're really getting to a point where pretty soon now there is a technology or a service for everyone. How do you get the data into that service out? How do you secure it? How do you glue it together? Um I think of, you know, some people might call this um you know, the ultimate integration problem, which is we're going to have all of this stuff and all of these places, what are the core concepts, location, security, placement, topology, latency, where data resides, who's accessing that data, We think of these as kind of the building blocks of where we're going next. So for us trying to make investments in, how do we make kubernetes work better across lots of environments. I have a coupon talk coming up this coupon, it's really exciting for me to talk about where we're going with, you know, the evolution of kubernetes, bringing the different pieces more closely together across multiple environments. But likewise, when we talk about our managed services, we've approached the strategy for managed services as it's not just the service in isolation, it's how it connects to the other pieces. What can we learn in the community, in our services, working with users that benefits that connectivity. So I mentioned the open shift streams connecting up environments, we'd really like to improve how applications connect across disparate environments. That's a fundamental property of if you're going to have data uh in one geographic region and you didn't move services closer to that well, those services I need to know and encode and have that behavior to get closer to where the data is, whether it's one data lake or 10. We gotta have that flexibility in place. And so those obstructions are really, and to >>your point about the building blocks where you've got to factor in those building blocks, because you're gonna need to understand the latency impact, that's going to impact how you're gonna handle the compute piece, that's gonna handle all these things are coming into play. So, again, if you're mindful of the building blocks, just as a cloud concept, um, then you're okay. >>We hear this a lot. Actually, there's real challenges in the, the ecosystem of uh, we see a lot of the problems of I want to help someone automate and improved, but the more balkanize, the more spread out, the more individual solutions are in play, it's harder for someone to bring their technology to bear to help solve the problem. So looking for ways that we can um, you know, grease the skids to build the glue. I think open source works best when it's defining de facto solutions that everybody agrees on that openness and the easy access is a key property that makes de facto standards emerged from open source. What can we do to grow defacto standards around multi cloud and application movement and application interconnect I think is a very, it's already happening and what can we do to accelerate it? That's it. >>Well, I think you bring up a really good point. This is probably a follow up, maybe a clubhouse talk or you guys will do a separate session on this. But I've been riffing on this idea of uh, today's silos, tomorrow's component, right, or module. If most people don't realize that these silos can be problematic if not thought through. So you have to kill the silos to bring in kind of an open police. So if you're open, not closed, you can leverage a monolith. Today's monolithic app or full stack could be tomorrow's building block unless you don't open up. So this is where interesting design question comes in, which is, it's okay to have pre existing stuff if you're open about it. But if you stay siloed, you're gonna get really stuck >>and there's going to be more and more pre existing stuff I think, you know, uh even the data lake for every day to lake, there is a huge problem of how to get data into the data lake or taking existing applications that came from the previous data link. And so there's a, there's a natural evolutionary process where let's focus on the mechanisms that actually move that day to get that data flowing. Um, I think we're still in the early phases of thinking about huge amounts of applications. Microservices or you know, 10 years old in the sense of it being a fairly common industry talking point before that we have service oriented architecture. But the difference now is that we're encouraging and building one developer, one team might run several services. They might use three or four different sas vendors. They might depend on five or 10 or 15 cloud services. Those integration points make them easier. But it's a new opportunity for us to say, well, what are the differences to go back to? The point is you can keep your silos, we just want to have great integration in and out of >>those. Exactly, they don't have to you have to break down the silos. So again, it's a tried and true formula integration, interoperability and abstracting away the complexity with some sort of new software abstraction layer. You bring that to play as long as you can paddle with that, you apply the new building blocks, you're classified. >>It sounds so that's so simple, doesn't it? It does. And you know, of course it'll take us 10 years to get there. And uh, you know, after cloud native will be will be galactic native or something like that. You know, there's always going to be a new uh concept that we need to work in. I think the key concepts we're really going after our everyone is trying to run resilient and reliable services and the clouds give us in the clouds take it away. They give us those opportunities to have some of those building blocks like location of geographic hardware resources, but they will always be data that spread. And again, you still have to apply those principles to the cloud to get the service guarantees that you need. I think there's a completely untapped area for helping software developers and software teams understand the actual availability and guarantees of the underlying environment. It's a property of the services you run with. If you're using a disk in a particular availability zone, that's a property of your application. I think there's a rich area that hasn't been mined yet. Of helping you understand what your effective service level goals which of those can be met. Which cannot, it doesn't make a lot of sense in a single cluster or single machine or a single location world the moment you start to talk about, Well I have my data lake. Well what are the ways my data leg can fail? How do we look at your complex web of interdependencies and say, well clearly if you lose this cloud provider, you're going to lose not just the things that you have running there, but these other dependencies, there's a lot of, there's a lot of next steps that we're just learning what happens when a major cloud goes down for a day or a region of a cloud goes down for a day. You still have to design and work around those >>cases. It's distributed computing. And again, I love the space where galactic cloud, you got SpaceX? Where's Cloud X? I mean, you know, space is the next frontier. You know, you've got all kinds of action happening in space. Great space reference there. Clayton, Great insight. Thanks for coming on. Uh, Clayton Coleman architect at red Hat. Clayton, Thanks for coming on. >>Pretty pleasure. >>Always. Great chat. I'm talking under the hood. What's going on in red hats? New managed cloud service portfolio? Again, the world's getting complex, abstract away. The complexities with software Inter operate integrate. That's the key formula with the cloud building blocks. I'm john ferry with the cube. Thanks for watching. Yeah.