Breaking Analysis: Grading our 2022 Enterprise Technology Predictions
>>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.
SUMMARY :
From the Cube Studios in Palo Alto in Boston, bringing you data-driven insights from self grading system, but look, we're gonna give you the data and you can draw your own conclusions and tell you what, We kind of nailed the momentum in the energy but not the i p O that we had predicted Aqua Securities focus on And then, you know, I lumia holding its own, you So the focus on endpoint security that was a winner in 2022 is CrowdStrike led that charge put some meat in the bone, so to speak, and and allow us than you to say, okay, We said at the time, you can see this on the left hand side of this chart, the PC laptop demand would remain Kind of like an O K R and you know, we strive to provide data We thought they'd exit the year, you know, closer to, you know, 25 billion a quarter and we don't think they're we think, yeah, you might think it's a little bit harsh, we could argue for a B minus to the professor, Chris Miller of the register put out a Supercloud block diagram, something else that So you know, sorry you can hate the term, but very clearly the evidence is gathering for the super cloud But it's largely confined and narrow data problems with limited scope as you can see here with some of the announcements that Amazon made at the recent, you know, reinvent, particularly trying to the company so that, you know, CNN can work at their own pace. So it's often the case that data mesh is in the eyes of the implementer. but these are two companies that initially, you know, looked like they were shaping up as partners and they, So that's, you know, they're security investment and so forth. So that's gonna be the mainstay is what we And the narrative is that virtual only events are, you know, they're good for quick hits, the grade we gave ourselves is, you know, maybe a bit unfair, it should be, you could argue for a higher grade, You know, overall if you average out our grade on the 10 predictions that come out to a b plus, You know, they'll get up to, you know,
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HPE Compute Security - Kevin Depew, HPE & David Chang, AMD
>>Hey everyone, welcome to this event, HPE Compute Security. I'm your host, Lisa Martin. Kevin Dee joins me next Senior director, future Surfer Architecture at hpe. Kevin, it's great to have you back on the program. >>Thanks, Lisa. I'm glad to be here. >>One of the topics that we're gonna unpack in this segment is, is all about cybersecurity. And if we think of how dramatically the landscape has changed in the last couple of years, I was looking at some numbers that H P V E had provided. Cybercrime will reach 10.5 trillion by 2025. It's a couple years away. The average total cost of a data breach is now over 4 million, 15% year over year crime growth predicted over the next five years. It's no longer if we get hit, it's when it's how often. What's the severity? Talk to me about the current situation with the cybersecurity landscape that you're seeing. >>Yeah, I mean the, the numbers you're talking about are just staggering and then that's exactly what we're seeing and that's exactly what we're hearing from our customers is just absolutely key. Customers have too much to lose. The, the dollar cost is just, like I said, staggering. And, and here at HP we know we have a huge part to play, but we also know that we need partnerships across the industry to solve these problems. So we have partnered with, with our, our various partners to deliver these Gen 11 products. Whether we're talking about partners like a M D or partners like our Nick vendors, storage card vendors. We know we can't solve the problem alone. And we know this, the issue is huge. And like you said, the numbers are staggering. So we're really, we're really partnering with, with all the right players to ensure we have a secure solution so we can stay ahead of the bad guys to try to limit the, the attacks on our customers. >>Right. Limit the damage. What are some of the things that you've seen particularly change in the last 18 months or so? Anything that you can share with us that's eye-opening, more eye-opening than some of the stats we already shared? >>Well, there, there's been a massive number of attacks just in the last 12 months, but I wouldn't really say it's so much changed because the amount of attacks has been increasing dramatically over the years for many, many, many years. It's just a very lucrative area for the bad guys, whether it's ransomware or stealing personal data, whatever it is, it's there. There's unfortunately a lot of money to be made into it, made from it, and a lot of money to be lost by the good guys, the good guys being our customers. So it's not so much that it's changed, it's just that it's even accelerating faster. So the real change is, it's accelerating even faster because it's becoming even more lucrative. So we have to stay ahead of these bad guys. One of the statistics of Microsoft operating environments, the number of tax in the last year, up 50% year over year, that's a huge acceleration and we've gotta stay ahead of that. We have to make sure our customers don't get impacted to the level that these, these staggering number of attacks are. The, the bad guys are out there. We've gotta protect, protect our customers from the bad guys. >>Absolutely. The acceleration that you talked about is, it's, it's kind of frightening. It's very eye-opening. We do know that security, you know, we've talked about it for so long as a, as a a C-suite priority, a board level priority. We know that as some of the data that HPE e also sent over organizations are risking are, are listing cyber risks as a top five concern in their organization. IT budgets spend is going up where security is concerned. And so security security's on everyone's mind. In fact, the cube did, I guess in the middle part of last, I did a series on this really focusing on cybersecurity as a board issue and they went into how companies are structuring security teams changing their assumptions about the right security model, offense versus defense. But security's gone beyond the board, it's top of mind and it's on, it's in an integral part of every conversation. So my question for you is, when you're talking to customers, what are some of the key challenges that they're saying, Kevin, these are some of the things the landscape is accelerating, we know it's a matter of time. What are some of those challenges and that they're key pain points that they're coming to you to help solve? >>Yeah, at the highest level it's simply that security is incredibly important to them. We talked about the numbers. There's so much money to be lost that what they come to us and say, is security's important for us? What can you do to protect us? What can you do to prevent us from being one of those statistics? So at a high level, that's kind of what we're seeing at a, with a little more detail. We know that there's customers doing digital transformations. We know that there's customers going hybrid cloud, they've got a lot of initiatives on their own. They've gotta spend a lot of time and a lot of bandwidth tackling things that are important to their business. They just don't have the bandwidth to worry about yet. Another thing which is security. So we are doing everything we can and partnering with everyone we can to help solve those problems for customers. >>Cuz we're hearing, hey, this is huge, this is too big of a risk. How do you protect us? And by the way, we only have limited bandwidth, so what can we do? What we can do is make them assured that that platform is secure, that we're, we are creating a foundation for a very secure platform and that we've worked with our partners to secure all the pieces. So yes, they still have to worry about security, but there's pieces that we've taken care of that they don't have to worry about and there's capabilities that we've provided that they can use and we've made that easy so they can build su secure solutions on top of it. >>What are some of the things when you're in customer conversations, Kevin, that you talk about with customers in terms of what makes HPE E'S approach to security really unique? >>Well, I think a big thing is security is part of our, our dna. It's part of everything we do. Whether we're designing our own asics for our bmc, the ilo ASIC ILO six used on Gen 11, or whether it's our firmware stack, the ILO firmware, our our system, UFI firmware, all those pieces in everything we do. We're thinking about security. When we're building products in our factory, we're thinking about security. When we're think designing our supply chain, we're thinking about security. When we make requirements on our suppliers, we're driving security to be a key part of those components. So security is in our D N a security's top of mind. Security is something we think about in everything we do. We have to think like the bad guys, what could the bad guy take advantage of? What could the bad guy exploit? So we try to think like them so that we can protect our customers. >>And so security is something that that really is pervasive across all of our development organizations, our supply chain organizations, our factories, and our partners. So that's what we think is unique about HPE is because security is so important and there's a whole lot of pieces of our reliance servers that we do ourselves that many others don't do themselves. And since we do it ourselves, we can make sure that security's in the design from the start, that those pieces work together in a secure manner. So we think that gives us a, an advantage from a security standpoint. >>Security is very much intention based at HPE e I was reading in some notes, and you just did a great job of talking about this, that fundamental security approach, security is fundamental to defend against threats that are increasingly complex through what you also call an uncompromising focus to state-of-the-art security and in in innovations built into your D N A. And then organizations can protect their infrastructure, their workloads, their data from the bad guys. Talk to us briefly in our final few minutes here, Kevin, about fundamental uncompromising protected the value in it for me as an HPE customer. >>Yeah, when we talk about fundamental, we're talking about the those fundamental technologies that are part of our platform. Things like we've integrated TPMS and sorted them down in our platforms. We now have platform certificates as a standard part of the platform. We have I dev id and probably most importantly, our platforms continue to support what we really believe was a groundbreaking technology, Silicon Root of trust and what that's able to do. We have millions of lines of firmware code in our platforms and with Silicon Root of trust, we can authenticate all of those lines of firmware. Whether we're talking about the the ILO six firmware, our U E I firmware, our C P L D in the system, there's other pieces of firmware. We authenticate all those to make sure that not a single line of code, not a single bit has been changed by a bad guy, even if the bad guy has physical access to the platform. >>So that silicon route of trust technology is making sure that when that system boots off and that hands off to the operating system and then eventually the customer's application stack that it's starting with a solid foundation, that it's starting with a system that hasn't been compromised. And then we build other things into that silicon root of trust, such as the ability to do the scans and the authentications at runtime, the ability to automatically recover if we detect something has been compromised, we can automatically update that compromised piece of firmware to a good piece before we've run it because we never want to run firmware that's been compromised. So that's all part of that Silicon Root of Trust solution and that's a fundamental piece of the platform. And then when we talk about uncompromising, what we're really talking about there is how we don't compromise security. >>And one of the ways we do that is through an extension of our Silicon Root of trust with a capability called S Spdm. And this is a technology that we saw the need for, we saw the need to authenticate our option cards and the firmware in those option cards. Silicon Root Prota, Silicon Root Trust protects against many attacks, but one piece it didn't do is verify the actual option card firmware and the option cards. So we knew to solve that problem we would have to partner with others in the industry, our nick vendors, our storage controller vendors, our G vendors. So we worked with industry standards bodies and those other partners to design a capability that allows us to authenticate all of those devices. And we worked with those vendors to get the support both in their side and in our platform side so that now Silicon Rivers and trust has been extended to where we protect and we trust those option cards as well. >>So that's when, when what we're talking about with Uncompromising and with with Protect, what we're talking about there is our capabilities around protecting against, for example, supply chain attacks. We have our, our trusted supply chain solution, which allows us to guarantee that our server, when it leaves our factory, what the server is, when it leaves our factory, will be what it is when it arrives at the customer. And if a bad guy does anything in that transition, the transit from our factory to the customer, they'll be able to detect that. So we enable certain capabilities by default capability called server configuration lock, which can ensure that nothing in the server exchange, whether it's firmware, hardware, configurations, swapping out processors, whatever it is, we'll detect if a bad guy did any of that and the customer will know it before they deploy the system. That gets enabled by default. >>We have an intrusion detection technology option when you use by the, the trusted supply chain that is included by default. That lets you know, did anybody open that system up, even if the system's not plugged in, did somebody take the hood off and potentially do something malicious to it? We also enable a capability called U EFI secure Boot, which can go authenticate some of the drivers that are located on the option card itself. Those kind of capabilities. Also ilo high security mode gets enabled by default. So all these things are enabled in the platform to ensure that if it's attacked going from our factory to the customer, it will be detected and the customer won't deploy a system that's been maliciously attacked. So that's got >>It, >>How we protect the customer through those capabilities. >>Outstanding. You mentioned partners, my last question for you, we've got about a minute left, Kevin is bring AMD into the conversation, where do they fit in this >>AMD's an absolutely crucial partner. No one company even HP can do it all themselves. There's a lot of partnerships, there's a lot of synergies working with amd. We've been working with AMD for almost 20 years since we delivered our first AM MD base ProLiant back in 2004 H HP ProLiant, DL 5 85. So we've been working with them a long time. We work with them years ahead of when a processor is announced, we benefit each other. We look at their designs and help them make their designs better. They let us know about their technology so we can take advantage of it in our designs. So they have a lot of security capabilities, like their memory encryption technologies, their a MD secure processor, their secure encrypted virtualization, which is an absolutely unique and breakthrough technology to protect virtual machines and hypervisor environments and protect them from malicious hypervisors. So they have some really great capabilities that they've built into their processor, and we also take advantage of the capabilities they have and ensure those are used in our solutions and in securing the platform. So a really such >>A great, great partnership. Great synergies there. Kevin, thank you so much for joining me on the program, talking about compute security, what HPE is doing to ensure that security is fundamental, that it is unpromised and that your customers are protected end to end. We appreciate your insights, we appreciate your time. >>Thank you very much, Lisa. >>We've just had a great conversation with Kevin Depu. Now I get to talk with David Chang, data center solutions marketing lead at a md. David, welcome to the program. >>Thank, thank you. And thank you for having me. >>So one of the hot topics of conversation that we can't avoid is security. Talk to me about some of the things that AMD is seeing from the customer's perspective, why security is so important for businesses across industries. >>Yeah, sure. Yeah. Security is, is top of mind for, for almost every, every customer I'm talking to right now. You know, there's several key market drivers and, and trends, you know, in, out there today that's really needing a better and innovative solution for, for security, right? So, you know, the high cost of data breaches, for example, will cost enterprises in downtime of, of the data center. And that time is time that you're not making money, right? And potentially even leading to your, to the loss of customer confidence in your, in your cust in your company's offerings. So there's real costs that you, you know, our customers are facing every day not being prepared and not having proper security measures set up in the data center. In fact, according to to one report, over 400 high-tech threats are being introduced every minute. So every day, numerous new threats are popping up and they're just, you know, the, you know, the bad guys are just getting more and more sophisticated. So you have to take, you know, measures today and you have to protect yourself, you know, end to end with solutions like what a AM MD and HPE has to offer. >>Yeah, you talked about some of the costs there. They're exorbitant. I've seen recent figures about the average, you know, cost of data breacher ransomware is, is close to, is over $4 million, the cost of, of brand reputation you brought up. That's a great point because nobody wants to be the next headline and security, I'm sure in your experiences. It's a board level conversation. It's, it's absolutely table stakes for every organization. Let's talk a little bit about some of the specific things now that A M D and HPE E are doing. I know that you have a really solid focus on building security features into the EPIC processors. Talk to me a little bit about that focus and some of the great things that you're doing there. >>Yeah, so, you know, we partner with H P E for a long time now. I think it's almost 20 years that we've been in business together. And, and you know, we, we help, you know, we, we work together design in security features even before the silicons even, you know, even born. So, you know, we have a great relationship with, with, with all our partners, including hpe and you know, HPE has, you know, an end really great end to end security story and AMD fits really well into that. You know, if you kind of think about how security all started, you know, in, in the data center, you, you've had strategies around encryption of the, you know, the data in, in flight, the network security, you know, you know, VPNs and, and, and security on the NS. And, and even on the, on the hard drives, you know, data that's at rest. >>You know, encryption has, you know, security has been sort of part of that strategy for a a long time and really for, you know, for ages, nobody really thought about the, the actual data in use, which is, you know, the, the information that's being passed from the C P U to the, the, the memory and, and even in virtualized environments to the, the, the virtual machines that, that everybody uses now. So, you know, for a long time nobody really thought about that app, you know, that third leg of, of encryption. And so a d comes in and says, Hey, you know, this is things that as, as the bad guys are getting more sophisticated, you, you have to start worrying about that, right? And, you know, for example, you know, you know, think, think people think about memory, you know, being sort of, you know, non-persistent and you know, when after, you know, after a certain time, the, the, you know, the, the data in the memory kind of goes away, right? >>But that's not true anymore because even in in memory data now, you know, there's a lot of memory modules that still can retain data up to 90 minutes even after p power loss. And with something as simple as compressed, compressed air or, or liquid nitrogen, you can actually freeze memory dams now long enough to extract the data from that memory module for up, you know, up, up to two or three hours, right? So lo more than enough time to read valuable data and, and, and even encryption keys off of that memory module. So our, our world's getting more complex and you know, more, the more data out there, the more insatiable need for compute and storage. You know, data management is becoming all, all the more important, you know, to keep all of that going and secure, you know, and, and creating security for those threats. It becomes more and more important. And, and again, especially in virtualized environments where, you know, like hyperconverged infrastructure or vir virtual desktop memories, it's really hard to keep up with all those different attacks, all those different attack surfaces. >>It sounds like what you were just talking about is what AMD has been able to do is identify yet another vulnerability Yes. Another attack surface in memory to be able to, to plug that hole for organizations that didn't, weren't able to do that before. >>Yeah. And, you know, and, and we kind of started out with that belief that security needed to be scalable and, and able to adapt to, to changing environments. So, you know, we, we came up with, you know, the, you know, the, the philosophy or the design philosophy that we're gonna continue to build on those security features generational generations and stay ahead of those evolving attacks. You know, great example is in, in the third gen, you know, epic C P U, that family that we had, we actually created this feature called S E V S N P, which stands for SECURENESS Paging. And it's really all around this, this new attack where, you know, your, the, the, you know, it's basically hypervisor based attacks where people are, you know, the bad actors are writing in to the memory and writing in basically bad data to corrupt the mem, you know, to corrupt the data in the memory. So s e V S and P is, was put in place to help, you know, secure that, you know, before that became a problem. And, you know, you heard in the news just recently that that becoming a more and more, more of a bigger issue. And the great news is that we had that feature built in, you know, before that became a big problem. >>And now you're on the fourth gen, those epic crosses talk of those epic processes. Talk to me a little bit about some of the innovations that are now in fourth gen. >>Yeah, so in fourth gen we actually added, you know, on top of that. So we've, we've got, you know, the sec the, the base of our, our, what we call infinity guard is, is all around the secure boot. The, you know, the, the, the, the secure root of trust that, you know, that we, we work with HPE on the, the strong memory encryption and the S E V, which is the secure encrypted virtualization. And so remember those s s and p, you know, incap capabilities that I talked about earlier. We've actually, in the fourth gen added two x the number of sev v s and P guests for even higher number of confidential VMs to support even more customers than before. Right? We've also added more guest protection from simultaneous multi threading or S M T side channel attacks. And, you know, while it's not officially part of Infinity Guard, we've actually added more APEC acceleration, which greatly benefits the security of those confidential VMs with the larger number of VCPUs, which basically means that you can build larger VMs and still be secured. And then lastly, we actually added even stronger a e s encryption. So we went from 128 bit to 256 bit, which is now military grade encryption on top of that. And, you know, and, and that's really, you know, the de facto crypto cryptography that is used for most of the applications for, you know, customers like the US federal government and, and all, you know, the, is really an essential element for memory security and the H B C applications. And I always say if it's good enough for the US government, it's good enough for you. >>Exactly. Well, it's got to be, talk a little bit about how AMD is doing this together with HPE a little bit about the partnership as we round out our conversation. >>Sure, absolutely. So security is only as strong as the layer below it, right? So, you know, that's why modern security must be built in rather than, than, you know, bolted on or, or, or, you know, added after the fact, right? So HPE and a MD actually developed this layered approach for protecting critical data together, right? Through our leadership and, and security features and innovations, we really deliver a set of hardware based features that, that help decrease potential attack surfaces. With, with that holistic approach that, you know, that safeguards the critical information across system, you know, the, the entire system lifecycle. And we provide the confidence of built-in silicon authentication on the world's most secure industry standard servers. And with a 360 degree approach that brings high availability to critical workloads while helping to defend, you know, against internal and external threats. So things like h hp, root of silicon root of trust with the trusted supply chain, which, you know, obviously AMD's part of that supply chain combined with AMD's Infinity guard technology really helps provide that end-to-end data protection in today's business. >>And that is so critical for businesses in every industry. As you mentioned, the attackers are getting more and more sophisticated, the vulnerabilities are increasing. The ability to have a pa, a partnership like H P E and a MD to deliver that end-to-end data protection is table stakes for businesses. David, thank you so much for joining me on the program, really walking us through what am MD is doing, the the fourth gen epic processors and how you're working together with HPE to really enable security to be successfully accomplished by businesses across industries. We appreciate your insights. >>Well, thank you again for having me, and we appreciate the partnership with hpe. >>Well, you wanna thank you for watching our special program HPE Compute Security. I do have a call to action for you. Go ahead and visit hpe com slash security slash compute. Thanks for watching.
SUMMARY :
Kevin, it's great to have you back on the program. One of the topics that we're gonna unpack in this segment is, is all about cybersecurity. And like you said, the numbers are staggering. Anything that you can share with us that's eye-opening, more eye-opening than some of the stats we already shared? So the real change is, it's accelerating even faster because it's becoming We do know that security, you know, we've talked about it for so long as a, as a a C-suite Yeah, at the highest level it's simply that security is incredibly important to them. And by the way, we only have limited bandwidth, So we try to think like them so that we can protect our customers. our reliance servers that we do ourselves that many others don't do themselves. and you just did a great job of talking about this, that fundamental security approach, of code, not a single bit has been changed by a bad guy, even if the bad guy has the ability to automatically recover if we detect something has been compromised, And one of the ways we do that is through an extension of our Silicon Root of trust with a capability ensure that nothing in the server exchange, whether it's firmware, hardware, configurations, That lets you know, into the conversation, where do they fit in this and in securing the platform. Kevin, thank you so much for joining me on the program, Now I get to talk with David Chang, And thank you for having me. So one of the hot topics of conversation that we can't avoid is security. numerous new threats are popping up and they're just, you know, the, you know, the cost of, of brand reputation you brought up. know, the data in, in flight, the network security, you know, you know, that app, you know, that third leg of, of encryption. the data from that memory module for up, you know, up, up to two or three hours, It sounds like what you were just talking about is what AMD has been able to do is identify yet another in the third gen, you know, epic C P U, that family that we had, Talk to me a little bit about some of the innovations Yeah, so in fourth gen we actually added, you know, Well, it's got to be, talk a little bit about how AMD is with that holistic approach that, you know, that safeguards the David, thank you so much for joining me on the program, Well, you wanna thank you for watching our special program HPE Compute Security.
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Ankur Shah, Palo Alto Networks | AWS re:Invent 2022
>>Good afternoon from the Venetian Expo, center, hall, whatever you wanna call it, in Las Vegas. Lisa Martin here. It's day four. I'm not sure what this place is called. Wait, >>What? >>Lisa Martin here with Dave Ante. This is the cube. This is day four of a ton of coverage that we've been delivering to you, which, you know, cause you've been watching since Monday night, Dave, we are almost at the end, we're almost at the show wrap. Excited to bring back, we've been talking about security, a lot about security. Excited to bring back a, an alumni to talk about that. But what's your final thoughts? >>Well, so just in, in, in the context of security, we've had just three in a row talking about cyber, which is like the most important topic. And I, and I love that we're having Palo Alto Networks on Palo Alto Networks is the gold standard in security. Talk to CISOs, they wanna work with them. And, and it was, it's interesting because I've been following them for a little bit now, watch them move to the cloud and a couple of little stumbling points. But I said at the time, they're gonna figure it out and, and come rocking back. And they have, and the company's just performing unbelievably well despite, you know, all the macro headwinds that we love to >>Talk about. So. Right. And we're gonna be unpacking all of that with one of our alumni. As I mentioned, Anker Shaw is with us, the SVP and GM of Palo Alto Networks. Anker, welcome back to the Cub. It's great to see you. It's been a while. >>It's good to be here after a couple years. Yeah, >>Yeah. I think three. >>Yeah, yeah, for sure. Yeah. Yeah. It's a bit of a blur after Covid. >>Everyone's saying that. Yeah. Are you surprised that there are still this many people on the show floor? Cuz I am. >>I am. Yeah. Look, I am not, this is my fourth, last year was probably one third or one fourth of this size. Yeah. But pre covid, this is what dream went looked like. And it's energizing, it's exciting. It's just good to be doing the good old things. So many people and yeah. Amazing technology and innovation. It's been incredible. >>Let's talk about innovation. I know you guys, Palo Alto Networks recently acquired cyber security. Talk to us a little bit about that. How is it gonna compliment Prisma? Give us all the scoop on that. >>Yeah, for sure. Look, some of the recent, the cybersecurity attacks that we have seen are related to supply chain, the colonial pipeline, many, many supply chain. And the reason for that is the modern software supply chain, not the physical supply chain, the one that AWS announced, but this is the software supply chain is really incredibly complicated, complicated developers that are building and shipping code faster than ever before. And the, the site acquisition at the center, the heart of that was securing the entire supply chain. White House came with a new initiative on supply chain security and SBO software bill of material. And we needed a technology, a company, and a set of people who can really deliver to that. And that's why we acquired that for supply chain security, otherwise known as cicd, security, c >>IDC security. Yeah. So how will that complement PRIs McCloud? >>Yeah, so look, if you look at our history lease over the last four years, we have been wanting to, our mission mission has been to build a single code to cloud platform. As you may know, there are over 3000 security vendors in the industry. And we said enough is enough. We need a platform player who can really deliver a unified cohesive platform solution for our customers because they're sick and tired of buying PI point product. So our mission has been to deliver that code to cloud platform supply chain security was a missing piece and we acquired them, it fits right really nicely into our portfolio of products and solution that customers have. And they'll have a single pin of glass with this. >>Yeah. So there's a lot going on. You've got, you've got an adversary that is incredibly capable. Yeah. These days and highly motivated and extremely sophisticated mentioned supply chain. It's caused a shift in, in CSO strategies, talking about the pandemic, of course we know work from home that changed things. You've mentioned public policy. Yeah. And, and so, and as well you have the cloud, cloud, you know, relatively new. I mean, it's not that new, but still. Yeah. But you've got the shared responsibility model and not, not only do you have the shared responsibility model, you have the shared responsibility across clouds and OnPrem. So yes, the cloud helps with security, but that the CISO has to worry about all these other things. The, the app dev team is being asked to shift left, you know, secure and they're not security pros. Yeah. And you know, kind audit is like the last line of defense. So I love this event, I love the cloud, but customers need help in making their lives simpler. Yeah. And the cloud in and of itself, because, you know, shared responsibility doesn't do that. Yeah. That's what Palo Alto and firms like yours come in. >>Absolutely. So look, Jim, this is a unable situation for a lot of the Cisco, simply because there are over 26 million developers, less than 3 million security professional. If you just look at all the announcement the AWS made, I bet you there were like probably over 2000 features. Yeah. I mean, they're shipping faster than ever before. Developers are moving really, really fast and just not enough security people to keep up with the velocity and the innovation. So you are right, while AWS will guarantee securing the infrastructure layer, but everything that is built on top of it, the new machine learning stuff, the new application, the new supply chain applications that are developed, that's the responsibility of the ciso. They stay up at night, they don't know what's going on because developers are bringing new services and new technology. And that's why, you know, we've always taken a platform approach where customers and the systems don't have to worry about it. >>What AWS new service they have, it's covered, it's secured. And that's why the adopters, McCloud and Palo Alto Networks, because regardless what developers bring, security is always there by their side. And so security teams need just a simple one click solution. They don't have to worry about it. They can sleep at night, keep the bad actors away. And, and that's, that's where Palo Alto Networks has been innovating in this area. AWS is one of our biggest partners and you know, we've integrated with, with a lot of their services. We launch about three integrations with their services. And we've been doing this historically for more and >>More. Are you still having conversations with the security folks? Or because security is a board level conversation, are your conversations going up a stack because this is a C-suite problem, this is a board level initiative? >>Absolutely. Look, you know, there was a time about four years ago, like the best we could do is director of security. Now it's just so CEO level conversation, board level conversation to your point, simply because I mean, if, if all your financial stuff is going to public cloud, all your healthcare data, all your supply chain data is going to public cloud, the board is asking very simple question, what are you doing to secure that? And to be honest, the question is simple. The answer's not because all the stuff that we talked about, too many applications, lots and lots of different services, different threat vectors and the bad actors, the bad guys are always a step ahead of the curve. And that's why this has become a board level conversation. They wanna make sure that things are secure from the get go before, you know, the enterprises go too deep into public cloud adoption. >>I mean there, there was shift topics a little bit. There was hope or kinda early this year that that cyber was somewhat insulated from the sort of macro press pressures. Nobody's safe. Even the cloud is sort of, you know, facing those, those headwinds people optimizing costs. But one thing when you talk to customers is, I always like to talk about that, that optiv graph. We've all seen it, right? And it's just this eye test of tools and it's a beautiful taxonomy, but there's just too many tools. So we're seeing a shift from point tools to platforms because obviously a platform play, and that's a way. So what are you seeing in the, in the field with customers trying to optimize their infrastructure costs with regard to consolidating to >>Platforms? Yeah. Look, you rightly pointed out one thing, the cybersecurity industry in general and Palo Alto networks, knock on wood, the stocks doing well. The macro headwinds hasn't impacted the security spend so far, right? Like time will tell, we'll, we'll see how things go. And one of the primary reason is that when you know the economy starts to slow down, the customers again want to invest in platforms. It's simple to deploy, simple to operationalize. They want a security partner of choice that knows that they, it's gonna be by them through the entire journey from code to cloud. And so that's why platform, especially times like these are more important than they've ever been before. You know, customers are investing in the, the, the product I lead at Palo Alto network called Prisma Cloud. It's in the cloud network application protection platform seen app space where once again, customers that investing in platform from quote to cloud and avoiding all the point products for sure. >>Yeah. Yeah. And you've seen it in, in Palo Alto's performance. I mean, not every cyber firm has is, is, >>You know, I know. Ouch. CrowdStrike Yeah. >>Was not. Well you saw that. I mean, and it was, and and you know, the large customers were continuing to spend, it was the small and mid-size businesses Yeah. That were, were were a little bit soft. Yeah. You know, it's a really, it's really, I mean, you see Okta now, you know, after they had some troubles announcing that, you know, their, their, their visibility's a little bit better. So it's, it's very hard to predict right now. And of course if TOMA Brava is buying you, then your stock price has been up and steady. That's, >>Yeah. Look, I think the key is to have a diversified portfolio of products. Four years ago before our CEO cash took over the reins of the company, we were a single product X firewall company. Right. And over time we have added XDR with the first one to introduce that recently launched x Im, you know, to, to make sure we build an NextGen team, cloud security is a completely net new investment, zero trust with access as workers started working remotely and they needed to make sure enterprises needed to make sure that they're accessing the applications securely. So we've added a lot of portfolio products over time. So you have to remain incredibly diversified, stay strong, because there will be stuff like remote work that slowed down. But if you've got other portfolio product like cloud security, while those secular tailwinds continue to grow, I mean, look how fast AWS is growing. 35, 40%, like $80 billion run rate. Crazy at that, that scale. So luckily we've got the portfolio of products to ensure that regardless of what the customer's journey is, macro headwinds are, we've got portfolio of solutions to help our customers. >>Talk a little bit about the AWS partnership. You talked about the run rate and I was reading a few days ago. You're right. It's an 82 billion arr, massive run rate. It's crazy. Well, what are, what is a Palo Alto Networks doing with aws and what's the value in it to help your customers on a secure digital transformation journey? >>Well, absolutely. We have been doing business with aws. We've been one of their security partners of choice for many years now. We have a presence in the marketplace where customers can through one click deploy the, the several Palo Alto Networks security solutions. So that's available. Like I said, we had launch partner to many, many new products and innovation that AWS comes up with. But always the day one partner, Adam was talking about some of those announcements and his keynote security data lake was one of those. And they were like a bunch of others related to compute and others. So we have been a partner for a long time, and look, AWS is an incredibly customer obsessed company. They've got their own security products. But if the customer says like, Hey, like I'd like to pick this from yours, but there's three other things from Palo Alto Networks or S MacCloud or whatever else that may be, they're open to it. And that's the great thing about AWS where it doesn't have to be wall garden open ecosystem, let the customer pick the best. >>And, and that's, I mean, there's, there's examples where AWS is directly competitive. I mean, my favorite example is Redshift and Snowflake. I mean those are directly competitive products, but, but Snowflake is an unbelievably great relationship with aws. They do cyber's, I think different, I mean, yeah, you got guard duty and you got some other stuff there. But generally speaking, the, correct me if I'm wrong, the e the ecosystem has more room to play on AWS than it may on some other clouds. >>A hundred percent. Yeah. Once again, you know, guard duty for examples, we've got a lot of customers who use guard duty and Prisma Cloud and other Palo Alto Networks products. And we also ingest the data from guard duty. So if customers want a single pane of glass, they can use the best of AWS in terms of guard duty threat detection, but leverage other technology suite from, you know, a platform provider like Palo Alto Networks. So you know, that that, you know, look, world is a complicated place. Some like blue, some like red, whatever that may be. But we believe in giving customers that choice, just like AWS customers want that. Not a >>Problem. And at least today they're not like directly, you know, in your space. Yeah. You know, and even if they were, you've got such a much mature stack. Absolutely. And my, my frankly Microsoft's different, right? I mean, you see, I mean even the analysts were saying that some of the CrowdStrike's troubles for, cuz Microsoft's got the good enough, right? So >>Yeah. Endpoint security. Yeah. And >>Yeah, for sure. So >>Do you have a favorite example of a customer where Palo Alto Networks has really helped them come in and, and enable that secure business transformation? Anything come to mind that you think really shines a light on Palo Alto Networks and what it's able to do? >>Yeah, look, we have customers across, and I'm gonna speak to public cloud in general, right? Like Palo Alto has over 60,000 customers. So we've been helping with that business transformation for years now. But because it's reinvented aws, the Prisma cloud product has been helping customers across different industry verticals. Some of the largest credit card processing companies, they can process transactions because we are running security on top of the workloads, the biggest financial services, biggest healthcare customers. They're able to put the patient health records in public cloud because Palo Alto Networks is helping them get there. So we are helping accelerated that digital journey. We've been an enabler. Security is often perceived as a blocker, but we have always treated our role as enabler. How can we get developers and enterprises to move as fast as possible? And like, my favorite thing is that, you know, moving fast and going digital is not a monopoly of just a tech company. Every company is gonna be a tech company Oh absolutely. To public cloud. Yes. And we want to help them get there. Yeah. >>So the other thing too, I mean, I'll just give you some data. I love data. I have a, ETR is our survey partner and I'm looking at Data 395. They do a survey every quarter, 1,250 respondents on this survey. 395 were Palo Alto customers, fortune 500 s and P 500, you know, big global 2000 companies as well. Some small companies. Single digit churn. Yeah. Okay. Yeah. Very, very low replacement >>Rates. Absolutely. >>And still high single digit new adoption. Yeah. Right. So you've got that tailwind going for you. Yeah, >>Right. It's, it's sticky because especially our, our main business firewall, once you deploy the firewall, we are inspecting all the network traffic. It's just so hard to rip and replace. Customers are getting value every second, every minute because we are thwarting attacks from public cloud. And look, we, we, we provide solutions not just product, we just don't leave the product and ask the customers to deploy it. We help them with deployment consumption of the product. And we've been really fortunate with that kind of gross dollar and netten rate for our customers. >>Now, before we wrap, I gotta tease, the cube is gonna be at Palo Alto Ignite. Yeah. In two weeks back here. I think we're at D mgm, right? We >>Were at D MGM December 13th and >>14th. So give us a little, show us a little leg if you would. What could we expect? >>Hey, look, I mean, a lot of exciting new things coming. Obviously I can't talk about it right now. The PR Inc is still not dry yet. But lots of, lots of new innovation across our three main businesses. Network security, public cloud, security, as well as XDR X. Im so stay tuned. You know, you'll, you'll see a lot of new exciting things coming up. >>Looking forward to it. >>We are looking forward to it. Last question on curf. You, if you had a billboard to place in New York Times Square. Yeah. You're gonna take over the the the Times Square Nasdaq. What does the billboard say about why organizations should be working with Palo Alto Networks? Yeah. To really embed security into their dna. Yeah. >>You know when Jim said Palo Alto Networks is the gold standard for security, I thought it was gonna steal it. I think it's pretty good gold standard for security. But I'm gonna go with our mission cyber security partner's choice. We want to be known as that and that's who we are. >>Beautifully said. Walker, thank you so much for joining David in the program. We really appreciate your insights, your time. We look forward to seeing you in a couple weeks back here in Vegas. >>Absolutely. Can't have enough of Vegas. Thank you. Lisa. >>Can't have in Vegas, >>I dunno about that. By this time of the year, I think we can have had enough of Vegas, but we're gonna be able to see you on the cubes coverage, which you could catch up. Palo Alto Networks show Ignite December, I believe 13th and 14th on the cube.net. We want to thank Anker Shaw for joining us. For Dave Ante, this is Lisa Martin. You're watching the Cube, the leader in live enterprise and emerging tech coverage.
SUMMARY :
whatever you wanna call it, in Las Vegas. This is the cube. you know, all the macro headwinds that we love to And we're gonna be unpacking all of that with one of our alumni. It's good to be here after a couple years. It's a bit of a blur after Covid. Cuz I am. It's just good to be doing the good old things. I know you guys, Palo Alto Networks recently acquired cyber security. And the reason for that is the modern software supply chain, not the physical supply chain, IDC security. Yeah, so look, if you look at our history lease over the last four years, And the cloud in and of itself, because, you know, shared responsibility doesn't do that. And that's why, you know, we've always taken a platform approach of our biggest partners and you know, we've integrated with, with a lot of their services. this is a board level initiative? the board is asking very simple question, what are you doing to secure that? So what are you seeing in the, And one of the primary reason is that when you know the I mean, not every cyber firm has You know, I know. I mean, and it was, and and you know, the large customers were continuing to And over time we have added XDR with the first one to introduce You talked about the run rate and I was reading a And that's the great thing about AWS where it doesn't have to be wall garden open I think different, I mean, yeah, you got guard duty and you got some other stuff there. So you know, And at least today they're not like directly, you know, in your space. So my favorite thing is that, you know, moving fast and going digital is not a monopoly of just a tech So the other thing too, I mean, I'll just give you some data. Absolutely. So you've got that tailwind going for you. and ask the customers to deploy it. Yeah. So give us a little, show us a little leg if you would. Hey, look, I mean, a lot of exciting new things coming. You're gonna take over the the the Times Square Nasdaq. But I'm gonna go with our mission cyber We look forward to seeing you in a couple weeks back here in Vegas. Can't have enough of Vegas. but we're gonna be able to see you on the cubes coverage, which you could catch up.
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Platform9, Cloud Native at Scale
>>Hello, welcome to the Cube here in Palo Alto, California for a special presentation on Cloud native at scale, enabling super cloud modern applications with Platform nine. I'm John Furr, your host of The Cube. We had a great lineup of three interviews we're streaming today. Meor Ma Makowski, who's the co-founder and VP of Product of Platform nine. She's gonna go into detail around Arlon, the open source products, and also the value of what this means for infrastructure as code and for cloud native at scale. Bickley the chief architect of Platform nine Cube alumni. Going back to the OpenStack days. He's gonna go into why Arlon, why this infrastructure as code implication, what it means for customers and the implications in the open source community and where that value is. Really great wide ranging conversation there. And of course, Vascar, Gort, the CEO of Platform nine, is gonna talk with me about his views on Super Cloud and why Platform nine has a scalable solutions to bring cloudnative at scale. So enjoy the program. See you soon. Hello everyone. Welcome to the cube here in Palo Alto, California for special program on cloud native at scale, enabling next generation cloud or super cloud for modern application cloud native developers. I'm John Furry, host of the Cube. A pleasure to have here, me Makoski, co-founder and VP of product at Platform nine. Thanks for coming in today for this Cloudnative at scale conversation. Thank >>You for having me. >>So Cloudnative at scale, something that we're talking about because we're seeing the, the next level of mainstream success of containers Kubernetes and cloud native develop, basically DevOps in the C I C D pipeline. It's changing the landscape of infrastructure as code, it's accelerating the value proposition and the super cloud as we call it, has been getting a lot of traction because this next generation cloud is looking a lot different, but kind of the same as the first generation. What's your view on super cloud as it fits to cloud native as scales up? >>Yeah, you know, I think what's interesting, and I think the reason why Super Cloud is a really good, in a really fit term for this, and I think, I know my CEO was chatting with you as well, and he was mentioning this as well, but I think there needs to be a different term than just multi-cloud or cloud. And the reason is because as cloud native and cloud deployments have scaled, I think we've reached a point now where instead of having the traditional data center style model where you have a few large distributions of infrastructure and workload at a few locations, I think the model is kind of flipped around, right? Where you have a large number of microsites, these microsites could be your public cloud deployment, your private on-prem infrastructure deployments, or it could be your edge environment, right? And every single enterprise, every single industry is moving in that direction. And so you gotta rougher that with a terminology that, that, that indicates the scale and complexity of it. And so I think supercloud is a, is an appropriate term for that. >>So you brought a couple of things I want to dig into. You mentioned edge nodes. We're seeing not only edge nodes being the next kind of area of innovation, mainly because it's just popping up everywhere. And that's just the beginning. Wouldn't even know what's around the corner. You got buildings, you got iot, ot, and IT kind of coming together, but you also got this idea of regions, global infras infrastructures, big part of it. I just saw some news around CloudFlare shutting down a site here. There's policies being made at scale, These new challenges there. Can you share because you can have edge. So hybrid cloud is a winning formula. Everybody knows that it's a steady state. Yeah. But across multiple clouds brings in this new un engineered area, yet it hasn't been done yet. Spanning clouds. People say they're doing it, but you start to see the toe in the water, it's happening, it's gonna happen. It's only gonna get accelerated with the edge and beyond globally. So I have to ask you, what is the technical challenges in doing this? Because there's something business consequences as well, but there are technical challenges. Can you share your view on what the technical challenges are for the super cloud or across multiple edges and regions? >>Yeah, absolutely. So I think, you know, in in the context of this, the, this, this term of super cloud, I think it's sometimes easier to visualize things in terms of two access, right? I think on one end you can think of the scale in terms of just pure number of nodes that you have deploy a number of clusters in the Kubernetes space. And then on the other axis you would have your distribution factor, right? Which is, do you have these tens of thousands of nodes in one site or do you have them distributed across tens of thousands of sites with one node at each site? Right? And if you have just one flavor of this, there is enough complexity, but potentially manageable. But when you are expanding on both these access, you really get to a point where that scale really needs some well thought out, well structured solutions to address it, right? A combination of homegrown tooling along with your, you know, favorite distribution of Kubernetes is not a strategy that can help you in this environment. It may help you when you have one of this or when you, when you scale, is not at the level. >>Can you scope the complexity? Because I mean, I hear a lot of moving parts going on there, the technology's also getting better. We we're seeing cloud native become successful. There's a lot to configure, there's a lot to install. Can you scope the scale of the problem? Because we're talking about at scale Yep. Challenges here. Yeah, >>Absolutely. And I think, you know, I I like to call it, you know, the, the, the problem that the scale creates, you know, there's various problems, but I think one, one problem, one way to think about it is, is, you know, it works on my cluster problem, right? So I, you know, I come from engineering background and there's a, you know, there's a famous saying between engineers and QA and the support folks, right? Which is, it works on my laptop, which is I tested this chain, everything was fantastic, it worked flawlessly on my machine, on production, It's not working. The exact same problem now happens and these distributed environments, but at massive scale, right? Which is that, you know, developers test their applications, et cetera within the sanctity of their sandbox environments. But once you expose that change in the wild world of your production deployment, right? >>And the production deployment could be going at the radio cell tower at the edge location where a cluster is running there, or it could be sending, you know, these applications and having them run at my customer site where they might not have configured that cluster exactly the same way as I configured it, or they configured the cluster, right? But maybe they didn't deploy the security policies, or they didn't deploy the other infrastructure plugins that my app relies on. All of these various factors are their own layer of complexity. And there really isn't a simple way to solve that today. And that is just, you know, one example of an issue that happens. I think another, you know, whole new ball game of issues come in the context of security, right? Because when you are deploying applications at scale in a distributed manner, you gotta make sure someone's job is on the line to ensure that the right security policies are enforced regardless of that scale factor. So I think that's another example of problems that occur. >>Okay. So I have to ask about scale, because there are a lot of multiple steps involved when you see the success of cloud native. You know, you see some, you know, some experimentation. They set up a cluster, say it's containers and Kubernetes, and then you say, Okay, we got this, we can figure it. And then they do it again and again, they call it day two. Some people call it day one, day two operation, whatever you call it. Once you get past the first initial thing, then you gotta scale it. Then you're seeing security breaches, you're seeing configuration errors. This seems to be where the hotspot is in when companies transition from, I got this to, Oh no, it's harder than I thought at scale. Can you share your reaction to that and how you see this playing out? >>Yeah, so, you know, I think it's interesting. There's multiple problems that occur when, you know, the two factors of scale, as we talked about, start expanding. I think one of them is what I like to call the, you know, it, it works fine on my cluster problem, which is back in, when I was a developer, we used to call this, it works on my laptop problem, which is, you know, you have your perfectly written code that is operating just fine on your machine, your sandbox environment. But the moment it runs production, it comes back with p zeros and pos from support teams, et cetera. And those issues can be really difficult to triage us, right? And so in the Kubernetes environment, this problem kind of multi folds, it goes, you know, escalates to a higher degree because you have your sandbox developer environments, they have their clusters and things work perfectly fine in those clusters because these clusters are typically handcrafted or a combination of some scripting and handcrafting. >>And so as you give that change to then run at your production edge location, like say your radio cell tower site, or you hand it over to a customer to run it on their cluster, they might not have not have configured that cluster exactly how you did, or they might not have configured some of the infrastructure plugins. And so the things don't work. And when things don't work, triaging them becomes nightmarishly hard, right? It's just one of the examples of the problem, another whole bucket of issues is security, which is, is you have these distributed clusters at scale, you gotta ensure someone's job is on the line to make sure that these security policies are configured properly. >>So this is a huge problem. I love that comment. That's not not happening on my system. It's the classic, you know, debugging mentality. Yeah. But at scale it's hard to do that with error prone. I can see that being a problem. And you guys have a solution you're launching. Can you share what Arlon is this new product? What is it all about? Talk about this new introduction. >>Yeah, absolutely. Very, very excited. You know, it's one of the projects that we've been working on for some time now because we are very passionate about this problem and just solving problems at scale in on-prem or at in the cloud or at edge environments. And what arlon is, it's an open source project, and it is a tool, it's a Kubernetes native tool for complete end to end management of not just your clusters, but your clusters. All of the infrastructure that goes within and along the site of those clusters, security policies, your middleware, plug-ins, and finally your applications. So what our LA you do in a nutshell is in a declarative way, it lets you handle the configuration and management of all of these components in at scale. >>So what's the elevator pitch simply put for what dissolves in, in terms of the chaos you guys are reigning in, what's the, what's the bumper sticker? Yeah, what >>Would it do? There's a perfect analogy that I love to reference in this context, which is think of your assembly line, you know, in a traditional, let's say, you know, an auto manufacturing factory or et cetera, and the level of efficiency at scale that that assembly line brings, right? Our line, and if you look at the logo we've designed, it's this funny little robot. And it's because when we think of online, we think of these enterprise large scale environments, you know, sprawling at scale, creating chaos because there isn't necessarily a well thought through, well structured solution that's similar to an assembly line, which is taking each component, you know, addressing them, manufacturing, processing them in a standardized way, then handing to the next stage. But again, it gets, you know, processed in a standardized way. And that's what arlon really does. That's like the deliver pitch. If you have problems of scale of managing your infrastructure, you know, that is distributed. Arlon brings the assembly line level of efficiency and consistency for >>Those. So keeping it smooth, the assembly on things are flowing. See c i CD pipe pipelining. Exactly. So that's what you're trying to simplify that ops piece for the developer. I mean, it's not really ops, it's their ops, it's coding. >>Yeah. Not just developer, the ops, the operations folks as well, right? Because developers, you know, there is, developers are responsible for one picture of that layer, which is my apps, and then maybe that middleware of applications that they interface with, but then they hand it over to someone else who's then responsible to ensure that these apps are secure properly, that they are logging, logs are being collected properly, monitoring and observability integrated. And so it solves problems for both >>Those teams. Yeah. It's DevOps. So the DevOps is the cloud needed developer's. That's right. The option teams have to kind of set policies. Is that where the declarative piece comes in? Is that why that's important? >>Absolutely. Yeah. And, and, and, and you know, ES really in introduced or elevated this declarative management, right? Because, you know, s clusters are Yeah. Or your, yeah, you know, specifications of components that go in Kubernetes are defined a declarative way, and Kubernetes always keeps that state consistent with your defined state. But when you go outside of that world of a single cluster, and when you actually talk about defining the clusters or defining everything that's around it, there really isn't a solution that does that today. And so Arlon addresses that problem at the heart of it, and it does that using existing open source well known solutions. >>And do I want to get into the benefits? What's in it for me as the customer developer? But I want to finish this out real quick and get your thoughts. You mentioned open source. Why open source? What's the, what's the current state of the product? You run the product group over at Platform nine, is it open source? And you guys have a product that's commercial? Can you explain the open source dynamic? And first of all, why open source? Yeah. And what is the consumption? I mean, open source is great, People want open source, they can download it, look up the code, but maybe wanna buy the commercial. So I'm assuming you have that thought through, can you share open source and commercial relationship? >>Yeah, I think, you know, starting with why open source? I think it's, you know, we as a company, we have, you know, one of the things that's absolutely critical to us is that we take mainstream open source technologies components and then we, you know, make them available to our customers at scale through either a SaaS model or on-prem model, right? But, so as we are a company or startup or a company that benefits, you know, in a massive way by this open source economy, it's only right, I think in my mind that we do our part of the duty, right? And contribute back to the community that feeds us. And so, you know, we have always held that strongly as one of our principles. And we have, you know, created and built independent products starting all the way with fision, which was a serverless product, you know, that we had built to various other, you know, examples that I can give. But that's one of the main reasons why opensource and also open source, because we want the community to really firsthand engage with us on this problem, which is very difficult to achieve if your product is behind a wall, you know, behind, behind a block box. >>Well, and that's, that's what the developers want too. And what we're seeing in reporting with Super Cloud is the new model of consumption is I wanna look at the code and see what's in there. That's right. And then also, if I want to use it, I'll do it. Great. That's open source, that's the value. But then at the end of the day, if I wanna move fast, that's when people buy in. So it's a new kind of freemium, I guess, business model. I guess that's the way that long. But that's, that's the benefit. Open source. This is why standards and open source is growing so fast. You have that confluence of, you know, a way for developers to try before they buy, but also actually kind of date the application, if you will. We, you know, Adrian Karo uses the dating met metaphor, you know, Hey, you know, I wanna check it out first before I get married. Right? And that's what open source, So this is the new, this is how people are selling. This is not just open source, this is how companies are selling. >>Absolutely. Yeah. Yeah. You know, I think, and you know, two things. I think one is just, you know, this, this, this cloud native space is so vast that if you, if you're building a close flow solution, sometimes there's also a risk that it may not apply to every single enterprises use cases. And so having it open source gives them an opportunity to extend it, expand it, to make it proper to their use case if they choose to do so, right? But at the same time, what's also critical to us is we are able to provide a supported version of it with an SLA that we, you know, that's backed by us, a SAS hosted version of it as well, for those customers who choose to go that route, you know, once they have used the open source version and loved it and want to take it at scale and in production and need, need, need a partner to collaborate with, who can, you know, support them for that production >>Environment. I have to ask you now, let's get into what's in it for the customer. I'm a customer. Yep. Why should I be enthused about Arla? What's in it for me? You know? Cause if I'm not enthused about it, I'm not gonna be confident and it's gonna be hard for me to get behind this. Can you share your enthusiastic view of, you know, why I should be enthused about Arlo? I'm a >>Customer. Yeah, absolutely. And so, and there's multiple, you know, enterprises that we talk to, many of them, you know, our customers, where this is a very kind of typical story that you hear, which is we have, you know, a Kubernetes distribution. It could be on premise, it could be public clouds, native Kubernetes, and then we have our C I C D pipelines that are automating the deployment of applications, et cetera. And then there's this gray zone. And the gray zone is well before you can you, your CS c D pipelines can deploy the apps. Somebody needs to do all of that groundwork of, you know, defining those clusters and yeah. You know, properly configuring them. And as these things, these things start by being done hand grown. And then as the, as you scale, what typically enterprises would do today is they will have their home homegrown DIY solutions for this. >>I mean, the number of folks that I talk to that have built Terra from automation, and then, you know, some of those key developers leave. So it's a typical open source or typical, you know, DIY challenge. And the reason that they're writing it themselves is not because they want to. I mean, of course technology is always interesting to everybody, but it's because they can't find a solution that's out there that perfectly fits the problem. And so that's that pitch. I think Ops FICO would be delighted. The folks that we've talk, you know, spoken with, have been absolutely excited and have, you know, shared that this is a major challenge we have today because we have, you know, few hundreds of clusters on ecos Amazon, and we wanna scale them to few thousands, but we don't think we are ready to do that. And this will give us the >>Ability to, Yeah, I think people are scared. Not sc I won't say scare, that's a bad word. Maybe I should say that they feel nervous because, you know, at scale small mistakes can become large mistakes. This is something that is concerning to enterprises. And, and I think this is gonna come up at co con this year where enterprises are gonna say, Okay, I need to see SLAs. I wanna see track record, I wanna see other companies that have used it. Yeah. How would you answer that question to, or, or challenge, you know, Hey, I love this, but is there any guarantees? Is there any, what's the SLAs? I'm an enterprise, I got tight, you know, I love the open source trying to free fast and loose, but I need hardened code. >>Yeah, absolutely. So, so two parts to that, right? One is Arlan leverages existing open source components, products that are extremely popular. Two specifically. One is Arlan uses Argo cd, which is probably one of the highest and used CD open source tools that's out there. Right's created by folks that are as part of into team now, you know, really brilliant team. And it's used at scale across enterprises. That's one. Second is Alon also makes use of Cluster api cappi, which is a Kubernetes sub-component, right? For lifecycle management of clusters. So there is enough of, you know, community users, et cetera, around these two products, right? Or, or, or open source projects that will find Arlan to be right up in their alley because they're already comfortable, familiar with Argo cd. Now Arlan just extends the scope of what City can do. And so that's one. And then the second part is going back to a point of the comfort. And that's where, you know, platform line has a role to play, which is when you are ready to deploy online at scale, because you've been, you know, playing with it in your DEF test environments, you're happy with what you get with it, then Platform nine will stand behind it and provide that >>Sla. And what's been the reaction from customers you've talked to Platform nine customers with, with that are familiar with, with Argo and then rlo? What's been some of the feedback? >>Yeah, I, I think the feedback's been fantastic. I mean, I can give you examples of customers where, you know, initially, you know, when you are, when you're telling them about your entire portfolio of solutions, it might not strike a card right away. But then we start talking about Arlan and, and we talk about the fact that it uses Argo adn, they start opening up, they say, We have standardized on Argo and we have built these components, homegrown, we would be very interested. Can we co-develop? Does it support these use cases? So we've had that kind of validation. We've had validation all the way at the beginning of our land before we even wrote a single line of code saying this is something we plan on doing. And the customer said, If you had it today, I would've purchased it. So it's been really great validation. >>All right. So next question is, what is the solution to the customer? If I asked you, Look it, I have, I'm so busy, my team's overworked. I got a skills gap. I don't need another project that's, I'm so tied up right now and I'm just chasing my tail. How does Platform nine help me? >>Yeah, absolutely. So I think, you know, one of the core tenets of Platform nine has always been been that we try to bring that public cloud like simplicity by hosting, you know, this in a lot of such similar tools in a SaaS hosted manner for our customers, right? So our goal behind doing that is taking away or trying to take away all of that complexity from customers' hands and offloading it to our hands, right? And giving them that full white glove treatment, as we call it. And so from a customer's perspective, one, something like arlon will integrate with what they have so they don't have to rip and replace anything. In fact, it will, even in the next versions, it may even discover your clusters that you have today and you know, give you an inventory. And that will, >>So if customers have clusters that are growing, that's a sign correct call you guys. >>Absolutely. Either they're, they have massive large clusters, right? That they wanna split into smaller clusters, but they're not comfortable doing that today, or they've done that already on say, public cloud or otherwise. And now they have management challenges. So >>Especially operationalizing the clusters, whether they want to kind of reset everything and remove things around and reconfigure Yep. And or scale out. >>That's right. Exactly. And >>You provide that layer of policy. >>Absolutely. >>Yes. That's the key value here. >>That's right. >>So policy based configuration for cluster scale up, >>Well profile and policy based declarative configuration and lifecycle management for clusters. >>If I asked you how this enables supercloud, what would you say to that? >>I think this is one of the key ingredients to super cloud, right? If you think about a super cloud environment, there's at least few key ingredients that that come to my mind that are really critical. Like they are, you know, life saving ingredients at that scale. One is having a really good strategy for managing that scale, you know, in a, going back to assembly line in a very consistent, predictable way so that our lot solves then you, you need to compliment that with the right kind of observability and monitoring tools at scale, right? Because ultimately issues are gonna happen and you're gonna have to figure out, you know, how to solve them fast. And arlon by the way, also helps in that direction, but you also need observability tools. And then especially if you're running it on the public cloud, you need some cost management tools. In my mind, these three things are like the most necessary ingredients to make Super Cloud successful. And you know, our alarm fills in >>One. Okay. So now the next level is, Okay, that makes sense. Is under the covers kind of speak under the hood. Yeah. How does that impact the app developers and the cloud native modern application workflows? Because the impact to me, seems the apps are gonna be impacted. Are they gonna be faster, stronger? I mean, what's the impact if you do all those things, as you mentioned, what's the impact of the apps? >>Yeah, the impact is that your apps are more likely to operate in production the way you expect them to, because the right checks and balances have gone through, and any discrepancies have been identified prior to those apps, prior to your customer running into them, right? Because developers run into this challenge to their, where there's a split responsibility, right? I'm responsible for my code, I'm responsible for some of these other plugins, but I don't own the stack end to end. I have to rely on my ops counterpart to do their part, right? And so this really gives them, you know, the right tooling for that. >>So this is actually a great kind of relevant point, you know, as cloud becomes more scalable, you're starting to see this fragmentation gone of the days of the full stack developer to the more specialized role. But this is a key point, and I have to ask you because if this RLO solution takes place, as you say, and the apps are gonna be stupid, they're designed to do, the question is, what did does the current pain look like of the apps breaking? What does the signals to the customer Yeah. That they should be calling you guys up into implementing Arlo, Argo and, and all the other goodness to automate? What are some of the signals? Is it downtime? Is it, is it failed apps, Is it latency? What are some of the things that Yeah, absolutely would be indications of things are effed up a little bit. Yeah. >>More frequent down times, down times that are, that take longer to triage. And so you are, you know, the, you know, your mean times on resolution, et cetera, are escalating or growing larger, right? Like we have environments of customers where they're, they have a number of folks on in the field that have to take these apps and run them at customer sites. And that's one of our partners. And they're extremely interested in this because they're the, the rate of failures they're encountering for this, you know, the field when they're running these apps on site, because the field is automating their clusters that are running on sites using their own script. So these are the kinds of challenges, and those are the pain points, which is, you know, if you're looking to reduce your meantime to resolution, if you're looking to reduce the number of failures that occur on your production site, that's one. And second, if you are looking to manage these at scale environments with a relatively small, focused, nimble ops team, which has an immediate impact on your budget. So those are, those are the signals. >>This is the cloud native at scale situation, the innovation going on. Final thought is your reaction to the idea that if the world goes digital, which it is, and the confluence of physical and digital coming together, and cloud continues to do its thing, the company becomes the application, not where it used to be supporting the business, you know, the back office and the maybe terminals and some PCs and handhelds. Now if technology's running, the business is the business. Yeah. Company's the application. Yeah. So it can't be down. So there's a lot of pressure on, on CSOs and CIOs now and boards is saying, How is technology driving the top line revenue? That's the number one conversation. Yep. Do you see that same thing? >>Yeah. It's interesting. I think there's multiple pressures at the CXO CIO level, right? One is that there needs to be that visibility and clarity and guarantee almost that, you know, that the, the technology that's, you know, that's gonna drive your top line is gonna drive that in a consistent, reliable, predictable manner. And then second, there is the constant pressure to do that while always lowering your costs of doing it, right? Especially when you're talking about, let's say retailers or those kinds of large scale vendors, they many times make money by lowering the amount that they spend on, you know, providing those goods to their end customers. So I think those, both those factors kind of come into play and the solution to all of them is usually in a very structured strategy around automation. >>Final question. What does cloudnative at scale look like to you? If all the things happen the way we want 'em to happen, The magic wand, the magic dust, what does it look like? >>What that looks like to me is a CIO sipping at his desk on coffee production is running absolutely smooth. And his, he's running that at a nimble, nimble team size of at the most, a handful of folks that are just looking after things, but things are >>Just taking care of the CIO doesn't exist. There's no ciso, they're at the beach. >>Yep. >>Thank you for coming on, sharing the cloud native at scale here on the cube. Thank you for your time. >>Fantastic. Thanks for >>Having me. Okay. I'm John Fur here for special program presentation, special programming cloud native at scale, enabling super cloud modern applications with Platform nine. Thanks for watching. Welcome back everyone to the special presentation of cloud native at scale, the cube and platform nine special presentation going in and digging into the next generation super cloud infrastructure as code and the future of application development. We're here with Bickley, who's the chief architect and co-founder of Platform nine Pick. Great to see you Cube alumni. We, we met at an OpenStack event in about eight years ago, or later, earlier when OpenStack was going. Great to see you and great to see congratulations on the success of platform nine. >>Thank you very much. >>Yeah. You guys have been at this for a while and this is really the, the, the year we're seeing the, the crossover of Kubernetes because of what happens with containers. Everyone now has realized, and you've seen what Docker's doing with the new docker, the open source Docker now just the success Exactly. Of containerization, right? And now the Kubernetes layer that we've been working on for years is coming, bearing fruit. This is huge. >>Exactly. Yes. >>And so as infrastructures code comes in, we talked to Bacar talking about Super Cloud, I met her about, you know, the new Arlon, our, our lawn, and you guys just launched the infrastructures code is going to another level, and then it's always been DevOps infrastructures code. That's been the ethos that's been like from day one, developers just code. Then you saw the rise of serverless and you see now multi-cloud or on the horizon, connect the dots for us. What is the state of infrastructure as code today? >>So I think, I think I'm, I'm glad you mentioned it, everybody or most people know about infrastructures code. But with Kubernetes, I think that project has evolved at the concept even further. And these dates, it's infrastructure is configuration, right? So, which is an evolution of infrastructure as code. So instead of telling the system, here's how I want my infrastructure by telling it, you know, do step A, B, C, and D instead with Kubernetes, you can describe your desired state declaratively using things called manifest resources. And then the system kind of magically figures it out and tries to converge the state towards the one that you specified. So I think it's, it's a even better version of infrastructures code. >>Yeah. And that really means it's developer just accessing resources. Okay. That declare, Okay, give me some compute, stand me up some, turn the lights on, turn 'em off, turn 'em on. That's kind of where we see this going. And I like the configuration piece. Some people say composability, I mean now with open source so popular, you don't have to have to write a lot of code, this code being developed. And so it's into integration, it's configuration. These are areas that we're starting to see computer science principles around automation, machine learning, assisting open source. Cuz you got a lot of code that's right in hearing software, supply chain issues. So infrastructure as code has to factor in these new dynamics. Can you share your opinion on these new dynamics of, as open source grows, the glue layers, the configurations, the integration, what are the core issues? >>I think one of the major core issues is with all that power comes complexity, right? So, you know, despite its expressive power systems like Kubernetes and declarative APIs let you express a lot of complicated and complex stacks, right? But you're dealing with hundreds if not thousands of these yamo files or resources. And so I think, you know, the emergence of systems and layers to help you manage that complexity is becoming a key challenge and opportunity in, in this space. >>That's, I wrote a LinkedIn post today was comments about, you know, hey, enterprise is a new breed. The trend of SaaS companies moving our consumer comp consumer-like thinking into the enterprise has been happening for a long time, but now more than ever, you're seeing it the old way used to be solve complexity with more complexity and then lock the customer in. Now with open source, it's speed, simplification and integration, right? These are the new dynamic power dynamics for developers. Yeah. So as companies are starting to now deploy and look at Kubernetes, what are the things that need to be in place? Because you have some, I won't say technical debt, but maybe some shortcuts, some scripts here that make it look like infrastructure is code. People have done some things to simulate or or make infrastructure as code happen. Yes. But to do it at scale Yes. Is harder. What's your take on this? What's your view? >>It's hard because there's a per proliferation of methods, tools, technologies. So for example, today it's very common for DevOps and platform engineering tools, I mean, sorry, teams to have to deploy a large number of Kubernetes clusters, but then apply the applications and configurations on top of those clusters. And they're using a wide range of tools to do this, right? For example, maybe Ansible or Terraform or bash scripts to bring up the infrastructure and then the clusters. And then they may use a different set of tools such as Argo CD or other tools to apply configurations and applications on top of the clusters. So you have this sprawl of tools. You, you also have this sprawl of configurations and files because the more objects you're dealing with, the more resources you have to manage. And there's a risk of drift that people call that where, you know, you think you have things under control, but some people from various teams will make changes here and there and then before the end of the day systems break and you have no idea of tracking them. So I think there's real need to kind of unify, simplify, and try to solve these problems using a smaller, more unified set of tools and methodologies. And that's something that we try to do with this new project. Arlon. >>Yeah. So, so we're gonna get into Arlan in a second. I wanna get into the why Arlon. You guys announced that at AR GoCon, which was put on here in Silicon Valley at the, at the community meeting by in two, they had their own little day over there at their headquarters. But before we get there, vascar, your CEO came on and he talked about Super Cloud at our in AAL event. What's your definition of super cloud? If you had to kind of explain that to someone at a cocktail party or someone in the industry technical, how would you look at the super cloud trend that's emerging? It's become a thing. What's your, what would be your contribution to that definition or the narrative? >>Well, it's, it's, it's funny because I've actually heard of the term for the first time today, speaking to you earlier today. But I think based on what you said, I I already get kind of some of the, the gist and the, the main concepts. It seems like super cloud, the way I interpret that is, you know, clouds and infrastructure, programmable infrastructure, all of those things are becoming commodity in a way. And everyone's got their own flavor, but there's a real opportunity for people to solve real business problems by perhaps trying to abstract away, you know, all of those various implementations and then building better abstractions that are perhaps business or applications specific to help companies and businesses solve real business problems. >>Yeah, I remember that's a great, great definition. I remember, not to date myself, but back in the old days, you know, IBM had a proprietary network operating system, so of deck for the mini computer vendors, deck net and SNA respectively. But T C P I P came out of the osi, the open systems interconnect and remember, ethernet beat token ring out. So not to get all nerdy for all the young kids out there, look, just look up token ring, you'll see, you've probably never heard of it. It's IBM's, you know, connection for the internet at the, the layer two is Amazon, the ethernet, right? So if T C P I P could be the Kubernetes and the container abstraction that made the industry completely change at that point in history. So at every major inflection point where there's been serious industry change and wealth creation and business value, there's been an abstraction Yes. Somewhere. Yes. What's your reaction to that? >>I think this is, I think a saying that's been heard many times in this industry and, and I forgot who originated it, but I think that the saying goes like, there's no problem that can't be solved with another layer of indirection, right? And we've seen this over and over and over again where Amazon and its peers have inserted this layer that has simplified, you know, computing and, and infrastructure management. And I believe this trend is going to continue, right? The next set of problems are going to be solved with these insertions of additional abstraction layers. I think that that's really a, yeah, it's gonna >>Continue. It's interesting. I just, when I wrote another post today on LinkedIn called the Silicon Wars AMD stock is down arm has been on a rise. We remember pointing for many years now that arm's gonna be hugely, it has become true. If you look at the success of the infrastructure as a service layer across the clouds, Azure, aws, Amazon's clearly way ahead of everybody. The stuff that they're doing with the silicon and the physics and the, the atoms, the pro, you know, this is where the innovation, they're going so deep and so strong at ISAs, the more that they get that gets come on, they have more performance. So if you're an app developer, wouldn't you want the best performance and you'd wanna have the best abstraction layer that gives you the most ability to do infrastructures, code or infrastructure for configuration, for provisioning, for managing services. And you're seeing that today with service MeSHs, a lot of action going on in the service mesh area in in this community of, of co con, which will be a covering. So that brings up the whole what's next? You guys just announced our lawn at Argo Con, which came out of Intuit. We've had Mariana Tessel at our super cloud event. She's the cto, you know, they're all in the cloud. So they contributed that project. Where did Arlon come from? What was the origination? What's the purpose? Why our lawn, why this announcement? >>Yeah, so the, the inception of the project, this was the result of us realizing that problem that we spoke about earlier, which is complexity, right? With all of this, these clouds, these infrastructure, all the variations around and, you know, compute storage networks and the proliferation of tools we talked about the Ansibles and Terraforms and Kubernetes itself. You can, you can think of that as another tool, right? We saw a need to solve that complexity problem, and especially for people and users who use Kubernetes at scale. So when you have, you know, hundreds of clusters, thousands of applications, thousands of users spread out over many, many locations, there, there needs to be a system that helps simplify that management, right? So that means fewer tools, more expressive ways of describing the state that you want and more consistency. And, and that's why, you know, we built our lawn and we built it recognizing that many of these problems or sub problems have already been solved. So Arlon doesn't try to reinvent the wheel, it instead rests on the shoulders of several giants, right? So for example, Kubernetes is one building block, GI ops, and Argo CD is another one, which provides a very structured way of applying configuration. And then we have projects like cluster API and cross plane, which provide APIs for describing infrastructure. So arlon takes all of those building blocks and builds a thin layer, which gives users a very expressive way of defining configuration and desired state. So that's, that's kind of the inception of, And >>What's the benefit of that? What does that give the, what does that give the developer, the user, in this case, >>The developers, the, the platform engineer, team members, the DevOps engineers, they get a a ways to provision not just infrastructure and clusters, but also applications and configurations. They get a way, a system for provisioning, configuring, deploying, and doing life cycle management in a, in a much simpler way. Okay. Especially as I said, if you're dealing with a large number of applications. >>So it's like an operating fabric, if you will. Yes. For them. Okay, so let's get into what that means for up above and below the the, this abstraction or thin layer below as the infrastructure. We talked a lot about what's going on below that. Yeah. Above our workloads. At the end of the day, you know, I talk to CXOs and IT folks that are now DevOps engineers. They care about the workloads and they want the infrastructures code to work. They wanna spend their time getting in the weeds, figuring out what happened when someone made a push that that happened or something happened. They need observability and they need to, to know that it's working. That's right. And is my workloads running effectively? So how do you guys look at the workload side of it? Cuz now you have multiple workloads on these fabric, >>Right? So workloads, so Kubernetes has defined kind of a standard way to describe workloads and you can, you know, tell Kubernetes, I want to run this container this particular way, or you can use other projects that are in the Kubernetes cloud native ecosystem like K native, where you can express your application in more at a higher level, right? But what's also happening is in addition to the workloads, DevOps and platform engineering teams, they need to very often deploy the applications with the clusters themselves. Clusters are becoming this commodity. It's, it's becoming this host for the application and it kind of comes bundled with it. In many cases it is like an appliance, right? So DevOps teams have to provision clusters at a really incredible rate and they need to tear them down. Clusters are becoming more, >>It's kinda like an EC two instance, spin up a cluster. We very, people used words like that. That's >>Right. And before arlon you kind of had to do all of that using a different set of tools as, as I explained. So with Armon you can kind of express everything together. You can say I want a cluster with a health monitoring stack and a logging stack and this ingress controller and I want these applications and these security policies. You can describe all of that using something we call a profile. And then you can stamp out your app, your applications and your clusters and manage them in a very, so >>Essentially standard creates a mechanism. Exactly. Standardized, declarative kind of configurations. And it's like a playbook. You deploy it. Now what's there is between say a script like I'm, I have scripts, I could just automate scripts >>Or yes, this is where that declarative API and infrastructures configuration comes in, right? Because scripts, yes you can automate scripts, but the order in which they run matters, right? They can break, things can break in the middle and, and sometimes you need to debug them. Whereas the declarative way is much more expressive and powerful. You just tell the system what you want and then the system kind of figures it out. And there are these things about controllers which will in the background reconcile all the state to converge towards your desire. It's a much more powerful, expressive and reliable way of getting things done. >>So infrastructure has configuration is built kind of on, it's as super set of infrastructures code because it's >>An evolution. >>You need edge's code, but then you can configure the code by just saying do it. You basically declaring and saying Go, go do that. That's right. Okay, so, alright, so cloud native at scale, take me through your vision of what that means. Someone says, Hey, what does cloud native at scale mean? What's success look like? How does it roll out in the future as you, not future next couple years? I mean people are now starting to figure out, okay, it's not as easy as it sounds. Could be nice, it has value. We're gonna hear this year coan a lot of this. What does cloud native at scale >>Mean? Yeah, there are different interpretations, but if you ask me, when people think of scale, they think of a large number of deployments, right? Geographies, many, you know, supporting thousands or tens or millions of, of users there, there's that aspect to scale. There's also an equally important a aspect of scale, which is also something that we try to address with Arran. And that is just complexity for the people operating this or configuring this, right? So in order to describe that desired state and in order to perform things like maybe upgrades or updates on a very large scale, you want the humans behind that to be able to express and direct the system to do that in, in relatively simple terms, right? And so we want the tools and the abstractions and the mechanisms available to the user to be as powerful but as simple as possible. So there's, I think there's gonna be a number and there have been a number of CNCF and cloud native projects that are trying to attack that complexity problem as well. And Arlon kind of falls in in that >>Category. Okay, so I'll put you on the spot road that CubeCon coming up and obviously this will be shipping this segment series out before. What do you expect to see at Coan this year? What's the big story this year? What's the, what's the most important thing happening? Is it in the open source community and also within a lot of the, the people jogging for leadership. I know there's a lot of projects and still there's some white space in the overall systems map about the different areas get run time and there's ability in all these different areas. What's the, where's the action? Where, where's the smoke? Where's the fire? Where's the piece? Where's the tension? >>Yeah, so I think one thing that has been happening over the past couple of cons and I expect to continue and, and that is the, the word on the street is Kubernetes is getting boring, right? Which is good, right? >>Boring means simple. >>Well, well >>Maybe, >>Yeah, >>Invisible, >>No drama, right? So, so the, the rate of change of the Kubernetes features and, and all that has slowed but in, in a, in a positive way. But there's still a general sentiment and feeling that there's just too much stuff. If you look at a stack necessary for hosting applications based on Kubernetes, there are just still too many moving parts, too many components, right? Too much complexity. I go, I keep going back to the complexity problem. So I expect Cube Con and all the vendors and the players and the startups and the people there to continue to focus on that complexity problem and introduce further simplifications to, to the stack. >>Yeah. Vic, you've had an storied career, VMware over decades with them obviously in 12 years with 14 years or something like that. Big number co-founder here at Platform. Now you guys have been around for a while at this game. We, man, we talked about OpenStack, that project you, we interviewed at one of their events. So OpenStack was the beginning of that, this new revolution. And I remember the early days it was, it wasn't supposed to be an alternative to Amazon, but it was a way to do more cloud cloud native. I think we had a cloud ERO team at that time. We would to joke we, you know, about, about the dream. It's happening now, now at Platform nine. You guys have been doing this for a while. What's the, what are you most excited about as the chief architect? What did you guys double down on? What did you guys tr pivot from or two, did you do any pivots? Did you extend out certain areas? Cuz you guys are in a good position right now, a lot of DNA in Cloud native. What are you most excited about and what does Platform nine bring to the table for customers and for people in the industry watching this? >>Yeah, so I think our mission really hasn't changed over the years, right? It's been always about taking complex open source software because open source software, it's powerful. It solves new problems, you know, every year and you have new things coming out all the time, right? OpenStack was an example when the Kubernetes took the world by storm. But there's always that complexity of, you know, just configuring it, deploying it, running it, operating it. And our mission has always been that we will take all that complexity and just make it, you know, easy for users to consume regardless of the technology, right? So the successor to Kubernetes, you know, I don't have a crystal ball, but you know, you have some indications that people are coming up of new and simpler ways of running applications. There are many projects around there who knows what's coming next year or the year after that. But platform will a, platform nine will be there and we will, you know, take the innovations from the the community. We will contribute our own innovations and make all of those things very consumable to customers. >>Simpler, faster, cheaper. Exactly. Always a good business model technically to make that happen. Yes. Yeah, I think the, the reigning in the chaos is key, you know, Now we have now visibility into the scale. Final question before we depart this segment. What is at scale, how many clusters do you see that would be a watermark for an at scale conversation around an enterprise? Is it workloads we're looking at or, or clusters? How would you, Yeah, how would you describe that? When people try to squint through and evaluate what's a scale, what's the at scale kind of threshold? >>Yeah. And, and the number of clusters doesn't tell the whole story because clusters can be small in terms of the number of nodes or they can be large. But roughly speaking when we say, you know, large scale cluster deployments, we're talking about maybe hundreds, two thousands. >>Yeah. And final final question, what's the role of the hyperscalers? You got AWS continuing to do well, but they got their core ias, they got a PAs, they're not too too much putting a SaaS out there. They have some SaaS apps, but mostly it's the ecosystem. They have marketplaces doing over $2 billion billions of transactions a year and, and it's just like, just sitting there. It hasn't really, they're now innovating on it, but that's gonna change ecosystems. What's the role the cloud play in the cloud native of its scale? >>The, the hyperscalers, >>Yeahs Azure, Google. >>You mean from a business perspective? Yeah, they're, they have their own interests that, you know, that they're, they will keep catering to, they, they will continue to find ways to lock their users into their ecosystem of services and, and APIs. So I don't think that's gonna change, right? They're just gonna keep, >>Well they got great I performance, I mean from a, from a hardware standpoint, yes, that's gonna be key, right? >>Yes. I think the, the move from X 86 being the dominant way and platform to run workloads is changing, right? That, that, that, that, and I think the, the hyperscalers really want to be in the game in terms of, you know, the the new risk and arm ecosystems and the platforms. >>Yeah, not joking aside, Paul Morritz, when he was the CEO of VMware, when he took over once said, I remember our first year doing the cube. Oh the cloud is one big distributed computer, it's, it's hardware and he got software and you got middleware and he kind over, well he's kind of tongue in cheek, but really you're talking about large compute and sets of services that is essentially a distributed computer. >>Yes, >>Exactly. It's, we're back on the same game. Vic, thank you for coming on the segment. Appreciate your time. This is cloud native at scale special presentation with Platform nine. Really unpacking super cloud Arlon open source and how to run large scale applications on the cloud Cloud Native Phil for developers and John Furrier with the cube. Thanks for Washington. We'll stay tuned for another great segment coming right up. Hey, welcome back everyone to Super Cloud 22. I'm John Fur, host of the Cuba here all day talking about the future of cloud. Where's it all going? Making it super multi-cloud clouds around the corner and public cloud is winning. Got the private cloud on premise and edge. Got a great guest here, Vascar Gorde, CEO of Platform nine, just on the panel on Kubernetes. An enabler blocker. Welcome back. Great to have you on. >>Good to see you >>Again. So Kubernetes is a blocker enabler by, with a question mark. I put on on that panel was really to discuss the role of Kubernetes. Now great conversation operations is impacted. What's interest thing about what you guys are doing at Platform nine? Is your role there as CEO and the company's position, kind of like the world spun into the direction of Platform nine while you're at the helm? Yeah, right. >>Absolutely. In fact, things are moving very well and since they came to us, it was an insight to call ourselves the platform company eight years ago, right? So absolutely whether you are doing it in public clouds or private clouds, you know, the application world is moving very fast in trying to become digital and cloud native. There are many options for you do on the infrastructure. The biggest blocking factor now is having a unified platform. And that's what we, we come into, >>Patrick, we were talking before we came on stage here about your background and we were gonna talk about the glory days in 2000, 2001, when the first as piece application service providers came out, kind of a SaaS vibe, but that was kind of all kind of cloudlike. >>It wasn't, >>And and web services started then too. So you saw that whole growth. Now, fast forward 20 years later, 22 years later, where we are now, when you look back then to here and all the different cycles, >>I, in fact you, you know, as we were talking offline, I was in one of those ASPs in the year 2000 where it was a novel concept of saying we are providing a software and a capability as a service, right? You sign up and start using it. I think a lot has changed since then. The tooling, the tools, the technology has really skyrocketed. The app development environment has really taken off exceptionally well. There are many, many choices of infrastructure now, right? So I think things are in a way the same but also extremely different. But more importantly now for any company, regardless of size, to be a digital native, to become a digital company is extremely mission critical. It's no longer a nice to have everybody's in the journey somewhere. >>Everyone is going digital transformation here. Even on a so-called downturn recession that's upcoming inflation's here. It's interesting. This is the first downturn in the history of the world where the hyperscale clouds have been pumping on all cylinders as an economic input. And if you look at the tech trends, GDPs down, but not tech. >>Nope. >>Cuz the pandemic showed everyone digital transformation is here and more spend and more growth is coming even in, in tech. So this is a unique factor which proves that that digital transformation's happening and company, every company will need a super cloud. >>Everyone, every company, regardless of size, regardless of location, has to become modernize their infrastructure. And modernizing Infras infrastructure is not just some new servers and new application tools, It's your approach, how you're serving your customers, how you're bringing agility in your organization. I think that is becoming a necessity for every enterprise to survive. >>I wanna get your thoughts on Super Cloud because one of the things Dave Ante and I want to do with Super Cloud and calling it that was we, I, I personally, and I know Dave as well, he can, I'll speak from, he can speak for himself. We didn't like multi-cloud. I mean not because Amazon said don't call things multi-cloud, it just didn't feel right. I mean everyone has multiple clouds by default. If you're running productivity software, you have Azure and Office 365. But it wasn't truly distributed. It wasn't truly decentralized, it wasn't truly cloud enabled. It didn't, it felt like they're not ready for a market yet. Yet public clouds booming on premise. Private cloud and Edge is much more on, you know, more, more dynamic, more real. >>Yeah. I think the reason why we think super cloud is a better term than multi-cloud. Multi-cloud are more than one cloud, but they're disconnected. Okay, you have a productivity cloud, you have a Salesforce cloud, you may have, everyone has an internal cloud, right? So, but they're not connected. So you can say okay, it's more than one cloud. So it's you know, multi-cloud. But super cloud is where you are actually trying to look at this holistically. Whether it is on-prem, whether it is public, whether it's at the edge, it's a store at the branch. You are looking at this as one unit. And that's where we see the term super cloud is more applicable because what are the qualities that you require if you're in a super cloud, right? You need choice of infrastructure, you need, but at the same time you need a single pain, a single platform for you to build your innovations on regardless of which cloud you're doing it on, right? So I think Super Cloud is actually a more tightly integrated orchestrated management philosophy we think. >>So let's get into some of the super cloud type trends that we've been reporting on. Again, the purpose of this event is to, as a pilots, to get the conversations flowing with with the influencers like yourselves who are running companies and building products and the builders, Amazon and Azure are doing extremely well. Google's coming up in third cloudworks in public cloud. We see the use cases on premises use cases. Kubernetes has been an interesting phenomenon because it's become from the developer side a little bit, but a lot of ops people love Kubernetes. It's really more of an ops thing. You mentioned OpenStack earlier. Kubernetes kind of came out of that open stack. We need an orchestration and then containers had a good shot with, with Docker. They re pivoted the company. Now they're all in an open source. So you got containers booming and Kubernetes as a new layer there. What's the, what's the take on that? What does that really mean? Is that a new defacto enabler? It >>Is here. It's for here for sure. Every enterprise somewhere else in the journey is going on. And you know, most companies are, 70 plus percent of them have won two, three container based, Kubernetes based applications now being rolled out. So it's very much here, it is in production at scale by many customers. And the beauty of it is, yes, open source, but the biggest gating factor is the skill set. And that's where we have a phenomenal engineering team, right? So it's, it's one thing to buy a tool >>And just be clear, you're a managed service for Kubernetes. >>We provide, provide a software platform for cloud acceleration as a service and it can run anywhere. It can run in public private. We have customers who do it in truly multi-cloud environments. It runs on the edge, it runs at this in stores are thousands of stores in a retailer. So we provide that and also for specific segments where data sovereignty and data residency are key regulatory reasons. We also un OnPrem as an air gap version. >>Can you give an example on how you guys are deploying your platform to enable a super cloud experience for your >>Customer? Right. So I'll give you two different examples. One is a very large networking company, public networking company. They have, I dunno, hundreds of products, hundreds of r and d teams that are building different, different products. And if you look at few years back, each one was doing it on a different platforms but they really needed to bring the agility and they worked with us now over three years where we are their build test dev pro platform where all their products are built on, right? And it has dramatically increased their agility to release new products. Number two, it actually is a light out operation. In fact the customer says like, like the Maytag service person cuz we provide it as a service and it barely takes one or two people to maintain it for them. >>So it's kinda like an SRE vibe. One person managing a >>Large 4,000 engineers building infrastructure >>On their tools, >>Whatever they want on their tools. They're using whatever app development tools they use, but they use our platform. >>What benefits are they seeing? Are they seeing speed? >>Speed, definitely. Okay. Definitely they're speeding. Speed uniformity because now they're building able to build, so their customers who are using product A and product B are seeing a similar set of tools that are being used. >>So a big problem that's coming outta this super cloud event that we're, we're seeing and we've heard it all here, ops and security teams cuz they're kind of too part of one theme, but ops and security specifically need to catch up speed wise. Are you delivering that value to ops and security? Right. >>So we, we work with ops and security teams and infrastructure teams and we layer on top of that. We have like a platform team. If you think about it, depending on where you have data centers, where you have infrastructure, you have multiple teams, okay, but you need a unified platform. Who's your buyer? Our buyer is usually, you know, the product divisions of companies that are looking at or the CTO would be a buyer for us functionally cio definitely. So it it's, it's somewhere in the DevOps to infrastructure. But the ideal one we are beginning to see now many large corporations are really looking at it as a platform and saying we have a platform group on which any app can be developed and it is run on any infrastructure. So the platform engineering teams, >>You working two sides of that coin. You've got the dev side and then >>And then infrastructure >>Side side, okay. >>Another customer like give you an example, which I would say is kind of the edge of the store. So they have thousands of stores. Retail, retail, you know food retailer, right? They have thousands of stores that are on the globe, 50,000, 60,000. And they really want to enhance the customer experience that happens when you either order the product or go into the store and pick up your product or buy or browse or sit there. They have applications that were written in the nineties and then they have very modern AIML applications today. They want something that will not have to send an IT person to install a rack in the store or they can't move everything to the cloud because the store operations has to be local. The menu changes based on, It's a classic edge. It's classic edge. Yeah. Right. They can't send it people to go install rack access servers then they can't sell software people to go install the software and any change you wanna put through that, you know, truck roll. So they've been working with us where all they do is they ship, depending on the size of the store, one or two or three little servers with instructions that >>You, you say little servers like how big one like a net box box, like a small little >>Box and all the person in the store has to do like what you and I do at home and we get a, you know, a router is connect the power, connect the internet and turn the switch on. And from there we pick it up. >>Yep. >>We provide the operating system, everything and then the applications are put on it. And so that dramatically brings the velocity for them. They manage >>Thousands of them. True plug and play >>Two, plug and play thousands of stores. They manage it centrally. We do it for them, right? So, so that's another example where on the edge then we have some customers who have both a large private presence and one of the public clouds. Okay. But they want to have the same platform layer of orchestration and management that they can use regardless of the location. So >>You guys got some success. Congratulations. Got some traction there. It's awesome. The question I want to ask you is that's come up is what is truly cloud native? Cuz there's lift and shift of the cloud >>That's not cloud native. >>Then there's cloud native. Cloud native seems to be the driver for the super cloud. How do you talk to customers? How do you explain when someone says what's cloud native, what isn't cloud native? >>Right. Look, I think first of all, the best place to look at what is the definition and what are the attributes and characteristics of what is truly a cloud native, is CNC foundation. And I think it's very well documented where you, well >>Con of course Detroit's >>Coming here, so, so it's already there, right? So, so we follow that very closely, right? I think just lifting and shifting your 20 year old application onto a data center somewhere is not cloud native. Okay? You can't put to cloud native, you have to rewrite and redevelop your application and business logic using modern tools. Hopefully more open source and, and I think that's what Cloudnative is and we are seeing a lot of our customers in that journey. Now everybody wants to be cloudnative, but it's not that easy, okay? Because it's, I think it's first of all, skill set is very important. Uniformity of tools that there's so many tools there. Thousands and thousands of tools you could spend your time figuring out which tool to use. Okay? So I think the complexities there, but the business benefits of agility and uniformity and customer experience are truly them. >>And I'll give you an example. I don't know how clear native they are, right? And they're not a customer of ours, but you order pizzas, you do, right? If you just watch the pizza industry, how dominoes actually increase their share and mind share and wallet share was not because they were making better pizzas or not, I don't know anything about that, but the whole experience of how you order, how you watch what's happening, how it's delivered. There were a pioneer in it. To me, those are the kinds of customer experiences that cloud native can provide. >>Being agility and having that flow to the application changes what the expectations of the, for the customer. >>Customer, the customer's expectations change, right? Once you get used to a better customer experience, you learn >>Best car. To wrap it up, I wanna just get your perspective again. One of the benefits of chatting with you here and having you part of the Super Cloud 22 is you've seen many cycles, you have a lot of insights. I want to ask you, given your career where you've been and what you've done and now the CEO platform nine, how would you compare what's happening now with other inflection points in the industry? And you've been, again, you've been an entrepreneur, you sold your company to Oracle, you've been seeing the big companies, you've seen the different waves. What's going on right now put into context this moment in time around Super >>Cloud. Sure. I think as you said, a lot of battles. Cars being been, been in an asp, been in a realtime software company, being in large enterprise software houses and a transformation. I've been on the app side, I did the infrastructure right and then tried to build our own platforms. I've gone through all of this myself with a lot of lessons learned in there. I think this is an event which is happening now for companies to go through to become cloud native and digitalize. If I were to look back and look at some parallels of the tsunami that's going on is a couple of paddles come to me. One is, think of it, which was forced to honors like y2k. Everybody around the world had to have a plan, a strategy, and an execution for y2k. I would say the next big thing was e-commerce. I think e-commerce has been pervasive right across all industries. >>And disruptive. >>And disruptive, extremely disruptive. If you did not adapt and adapt and accelerate your e-commerce initiative, you were, it was an existence question. Yeah. I think we are at that pivotal moment now in companies trying to become digital and cloudnative that know that is what I see >>Happening there. I think that that e-commerce was interesting and I think just to riff with you on that is that it's disrupting and refactoring the business models. I think that is something that's coming out of this is that it's not just completely changing the game, it's just changing how you operate, >>How you think, and how you operate. See, if you think about the early days of eCommerce, just putting up a shopping cart didn't made you an eCommerce or an E retailer or an e e customer, right? Or so. I think it's the same thing now is I think this is a fundamental shift on how you're thinking about your business. How are you gonna operate? How are you gonna service your customers? I think it requires that just lift and shift is not gonna work. >>Mascar, thank you for coming on, spending the time to come in and share with our community and being part of Super Cloud 22. We really appreciate, we're gonna keep this open. We're gonna keep this conversation going even after the event, to open up and look at the structural changes happening now and continue to look at it in the open in the community. And we're gonna keep this going for, for a long, long time as we get answers to the problems that customers are looking for with cloud cloud computing. I'm Sean Feer with Super Cloud 22 in the Cube. Thanks for watching. >>Thank you. Thank you, John. >>Hello. Welcome back. This is the end of our program, our special presentation with Platform nine on cloud native at scale, enabling the super cloud. We're continuing the theme here. You heard the interviews Super Cloud and its challenges, new opportunities around the solutions around like Platform nine and others with Arlon. This is really about the edge situations on the internet and managing the edge multiple regions, avoiding vendor lock in. This is what this new super cloud is all about. The business consequences we heard and and the wide ranging conversations around what it means for open source and the complexity problem all being solved. I hope you enjoyed this program. There's a lot of moving pieces and things to configure with cloud native install, all making it easier for you here with Super Cloud and of course Platform nine contributing to that. Thank you for watching.
SUMMARY :
See you soon. but kind of the same as the first generation. And so you gotta rougher and IT kind of coming together, but you also got this idea of regions, So I think, you know, in in the context of this, the, this, Can you scope the scale of the problem? the problem that the scale creates, you know, there's various problems, but I think one, And that is just, you know, one example of an issue that happens. Can you share your reaction to that and how you see this playing out? which is, you know, you have your perfectly written code that is operating just fine on your And so as you give that change to then run at your production edge location, And you guys have a solution you're launching. So what our LA you do in a But again, it gets, you know, processed in a standardized way. So keeping it smooth, the assembly on things are flowing. Because developers, you know, there is, developers are responsible for one picture of So the DevOps is the cloud needed developer's. And so Arlon addresses that problem at the heart of it, and it does that using existing So I'm assuming you have that thought through, can you share open source and commercial relationship? products starting all the way with fision, which was a serverless product, you know, that we had built to buy, but also actually kind of date the application, if you will. I think one is just, you know, this, this, this cloud native space is so vast I have to ask you now, let's get into what's in it for the customer. And so, and there's multiple, you know, enterprises that we talk to, shared that this is a major challenge we have today because we have, you know, I'm an enterprise, I got tight, you know, I love the open source trying And that's where, you know, platform line has a role to play, which is when been some of the feedback? And the customer said, If you had it today, I would've purchased it. So next question is, what is the solution to the customer? So I think, you know, one of the core tenets of Platform nine has always been been that And now they have management challenges. Especially operationalizing the clusters, whether they want to kind of reset everything and remove things around and And And arlon by the way, also helps in that direction, but you also need I mean, what's the impact if you do all those things, as you mentioned, what's the impact of the apps? And so this really gives them, you know, the right tooling for that. So this is actually a great kind of relevant point, you know, as cloud becomes more scalable, So these are the kinds of challenges, and those are the pain points, which is, you know, if you're looking to to be supporting the business, you know, the back office and the maybe terminals and that, you know, that the, the technology that's, you know, that's gonna drive your top line is If all the things happen the way we want 'em to happen, The magic wand, the magic dust, he's running that at a nimble, nimble team size of at the most, Just taking care of the CIO doesn't exist. Thank you for your time. Thanks for Great to see you and great to see congratulations on the success And now the Kubernetes layer that we've been working on for years is Exactly. you know, the new Arlon, our, our lawn, and you guys just launched the So I think, I think I'm, I'm glad you mentioned it, everybody or most people know about infrastructures I mean now with open source so popular, you don't have to have to write a lot of code, you know, the emergence of systems and layers to help you manage that complexity is becoming That's, I wrote a LinkedIn post today was comments about, you know, hey, enterprise is a new breed. you know, you think you have things under control, but some people from various teams will make changes here in the industry technical, how would you look at the super cloud trend that's emerging? the way I interpret that is, you know, clouds and infrastructure, It's IBM's, you know, connection for the internet at the, this layer that has simplified, you know, computing and, the physics and the, the atoms, the pro, you know, this is where the innovation, the state that you want and more consistency. the DevOps engineers, they get a a ways to So how do you guys look at the workload native ecosystem like K native, where you can express your application in more at It's kinda like an EC two instance, spin up a cluster. And then you can stamp out your app, your applications and your clusters and manage them And it's like a playbook. You just tell the system what you want and then You need edge's code, but then you can configure the code by just saying do it. And that is just complexity for the people operating this or configuring this, What do you expect to see at Coan this year? If you look at a stack necessary for hosting We would to joke we, you know, about, about the dream. So the successor to Kubernetes, you know, I don't Yeah, I think the, the reigning in the chaos is key, you know, Now we have now visibility into But roughly speaking when we say, you know, They have some SaaS apps, but mostly it's the ecosystem. you know, that they're, they will keep catering to, they, they will continue to find terms of, you know, the the new risk and arm ecosystems it's, it's hardware and he got software and you got middleware and he kind over, Great to have you on. What's interest thing about what you guys are doing at Platform nine? clouds, you know, the application world is moving very fast in trying to Patrick, we were talking before we came on stage here about your background and we were gonna talk about the glory days in So you saw that whole growth. So I think things are in And if you look at the tech trends, GDPs down, but not tech. Cuz the pandemic showed everyone digital transformation is here and more And modernizing Infras infrastructure is not you know, more, more dynamic, more real. So it's you know, multi-cloud. So you got containers And you know, most companies are, 70 plus percent of them have won two, It runs on the edge, And if you look at few years back, each one was doing So it's kinda like an SRE vibe. Whatever they want on their tools. to build, so their customers who are using product A and product B are seeing a similar set Are you delivering that value to ops and security? Our buyer is usually, you know, the product divisions of companies You've got the dev side and then that happens when you either order the product or go into the store and pick up your product or like what you and I do at home and we get a, you know, a router is And so that dramatically brings the velocity for them. Thousands of them. of the public clouds. The question I want to ask you is that's How do you explain when someone says what's cloud native, what isn't cloud native? is the definition and what are the attributes and characteristics of what is truly a cloud native, Thousands and thousands of tools you could spend your time figuring out which I don't know anything about that, but the whole experience of how you order, Being agility and having that flow to the application changes what the expectations of One of the benefits of chatting with you here and been on the app side, I did the infrastructure right and then tried to build our own If you did not adapt and adapt and accelerate I think that that e-commerce was interesting and I think just to riff with you on that is that it's disrupting How are you gonna service your Mascar, thank you for coming on, spending the time to come in and share with our community and being part of Thank you, John. I hope you enjoyed this program.
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Jack Andersen & Joel Minnick, Databricks | AWS Marketplace Seller Conference 2022
>>Welcome back everyone to the cubes coverage here in Seattle, Washington, AWS's marketplace seller conference. It's the big news within the Amazon partner network, combining with marketplaces, forming the Amazon partner organization, part of a big reorg as they grow the next level NextGen cloud mid-game on the chessboard. Cube's got cover. I'm John fur, host of Cub, a great guests here from data bricks, both cube alumnis, Jack Anderson, GM of the and VP of the data bricks partnership team. For ADOS, you handle that relationship and Joel Minick vice president of product and partner marketing. You guys are the, have the keys to the kingdom with data, bricks, and AWS. Thanks for joining. Thanks for good to see you again. Thanks for >>Having us back. Yeah, John, great to be here. >>So I feel like we're at reinvent 2013 small event, no stage, but there's a real shift happening with procurement. Obviously it makes it's a no brainer on the micro, you know, people should be buying online self-service cloud scale, but Amazon's got billions being sold to their marketplace. They've reorganized their partner network. You can see kind of what's going on. They've kind of figured it out. Like let's put everything together and simplify and make it less of a website marketplace merge our partner to have more synergy and friction, less experiences so everyone can make more money and customer's gonna be happier. >>Yeah, that's right. >>I mean, you're run relationship. You're in the middle of it. >>Well, Amazon's mental model here is that they want the world's best ISVs to operate on AWS so that we can collaborate and co architect on behalf of customers. And that's exactly what the APO and marketplace allow us to do is to work with Amazon on these really, you know, unique use cases. >>You know, I interviewed Ali many times over the years. I remember many years ago, I think six, maybe six, seven years ago, we were talking. He's like, we're all in ons. Obviously. Now the success of data bricks, you've got multiple clouds. See that customers have choice, but I remember the strategy early on. It was like, we're gonna be deep. So this is speaks volumes to the, the relationship you have years. Jack take us through the relationship that data bricks has with AWS from a, from a partner perspective, Joel, and from a product perspective, because it's not like you got to Johnny come lately new to the new, to the scene, right? We've been there almost president creation of this wave. What's the relationship and has it relate to what's going on today? >>So, so most people may not know that data bricks was born on AWS. We actually did our first 100 million of revenue on Amazon. And today we're obviously available on multiple clouds, but we're very fond of our Amazon relationship. And when you look at what the APN allows us to do, you know, we're able to expand our reach and co-sell with Amazon and marketplace broadens our reach. And so we think of marketplace in three different aspects. We've got the marketplace, private offer business, which we've been doing for a number of years. Matter of fact, we we're driving well over a hundred percent year over year growth in private offers and we have a nine figure business. So it's a very significant business. And when a customer uses a private offer that private offer counts against their private pricing agreement with AWS. So they get pricing power against their, their private pricing. >>So it's really important. It goes on their Amazon bill in may. We launched our pay as you go on demand offering. And in five short months, we have well over a thousand subscribers. And what this does is it really reduces the barriers to entry it's low friction. So anybody in an enterprise or startup or public sector company can start to use data bricks on AWS and pay consumption based model and have it go against their monthly bill. And so we see customers, you know, doing rapid experimentation pilots, POCs, they're, they're really learning the value of that first use case. And then we see rapid use case expansion. And the third aspect is the consulting partner, private offers C P O super important in how we involve our partner ecosystem of our consulting partners and our resellers that are able to work with data bricks on behalf of customers. >>So you got the big contracts with the private offer. You got the product market fit, kind of people iterating with data coming in with, with the buyers you go. And obviously the integration piece all fitting in there. Exactly. Exactly. Okay. So that's that those are the offers that's current and what's in marketplace today. Is that the products, what are, what are people buying? I mean, I guess what's the Joel, what are, what are people buying in the marketplace and what does it mean for >>Them? So fundamentally what they're buying is the ability to take silos out of their organization. And that's, that is the problem that data bricks is out there to solve, which is when you look across your data landscape today, you've got unstructured data, you've got structured data, you've got real time streaming data, and your teams are trying to use all of this data to solve really complicated problems. And as data bricks as the lake house company, what we're helping customers do is how do they get into the new world? How do they move to a place where they can use all of that data across all of their teams? And so we allow them to begin to find through the marketplace, those rapid adoption use cases where they can get rid of these data, warehousing data lake silos they've had in the past, get their unstructured and structured data onto one data platform and open data platform that is no longer adherent to any proprietary formats and standards and something. >>They can very much, very easily integrate into the rest of their data environment, apply one common data governance layer on top of that. So that from the time they ingest that data to the time they use that data to the time they share that data inside and outside of their organization, they know exactly how it's flowing. They know where it came from. They know who's using it. They know who has access to it. They know how it's changing. And then with that common data platform with that common governance solution, they'd being able to bring all of those use cases together across their real time, streaming their data engineering, their BI, their AI, all of their teams working on one set of data. And that lets them move really, really fast. And it also lets them solve challenges. They just couldn't solve before a good example of this, you know, one of the world's now largest data streaming platforms runs on data bricks with AWS. >>And if you think about what does it take to set that up? Well, they've got all this customer data that was historically inside of data warehouses, that they have to understand who their customers are. They have all this unstructured data, they've built their data science model, so they can do the right kinds of recommendation engines and forecasting around. And then they've got all this streaming data going back and forth between click stream data from what the customers are doing with their platform and the recommendations they wanna push back out. And if those teams were all working in individual silos, building these kinds of platforms would be extraordinarily slow and complex, but by building it on data bricks, they were able to release it in record time and have grown at, at record pace >>To not be that's product platform that's impacting product development. Absolutely. I mean, this is like the difference between lagging months of product development to like days. Yes. Pretty much what you're getting at. Yeah. So total agility. I got that. Okay. Now I'm a customer I wanna buy in the marketplace, but I also, you got direct Salesforce up there. So how do you guys look at this? Is there channel conflict? Are there comp programs? Because one of the things I heard today in on the stage from a Davis's leadership, Chris was up there speaking and, and, and moment I was, Hey, he's a CRO conference, chief revenue officer conversation, which means someone's getting compensated. So if I'm the sales rep at data bricks, what's my motion to the customer. Do I get paid? Does Amazon sell it? Take us through that. Is there channel conflict? Is there or an audio lift? >>Well, I I'd add what Joel just talked about with, with, you know, what the solution, the value of the solution our entire offering is available on AWS marketplace. So it's not a subset, the entire data bricks offering and >>The flagship, all the, the top, >>Everything, the flagship, the complete offering. So it's not, it's not segmented. It's not a sub segment. It's it's, you know, you can use all of our different offerings. Now when it comes to seller compensation, we, we, we view this two, two different ways, right? One is that AWS is also incented, right? Versus selling a native service to recommend data bricks for the right situation. Same thing with data bricks. Our Salesforce wants to do the right thing for the customer. If the customer wants to use marketplace as their procurement vehicle. And that really helps customers because if you get data bricks and five other ISVs together, and let's say each ISV is spending, you're spending a million dollars, you have $5 million of spend, you put that spend through the flywheel with AWS marketplace. And then you can use that in your negotiations with AWS to get better pricing overall. So that's how we, >>We do it. So customers are driving. This sounds like, correct. For sure. So they're looking at this as saying, Hey, I'm gonna just get purchasing power with all my relationships because it's a solution architectural market, right? >>Yeah. It makes sense. Because if most customers will have a primary and secondary cloud provider, if they can consolidate, you know, multiple ISV spend through that same primary provider, you get pricing >>Power, okay, Jill, we're gonna date ourselves. At least I will. So back in the old days, it used to be, do a Barney deal with someone, Hey, let's go to market together. You gotta get paper, you do a biz dev deal. And then you gotta say, okay, now let's coordinate our sales teams, a lot of moving parts. So what you're getting at here is that the alternative for data bricks or any company is to go find those partners and do deals versus now Amazon is the center point for the customer so that you can still do those joint deals. But this seems to be flipping the script a little bit. >>Well, it is, but we still have VAs and consulting partners that are doing implementation work very valuable work advisory work that can actually work with marketplace through the C PPO offering. So the marketplace allows multiple ways to procure your >>Solution. So it doesn't change your business structure. It just makes it more efficient. That's >>Correct. >>That's a great way to say it. Yeah, >>That's great. So that's so that's it. So that's just makes it more efficient. So you guys are actually incented to point customers to the marketplace. >>Yes, >>Absolutely. Economically. Yeah. >>E economically it's the right thing to do for the customer. It's the right thing to do for our relationship with Amazon, especially when it comes back to co-selling right? Because Amazon now is leaning in with ISVs and making recommendations for, you know, an ISV solution and our teams are working backwards from those use cases, you know, to collaborate, land them. >>Yeah. I want, I wanna get that out there. Go ahead, Joel. >>So one of the other things I might add to that too, you know, and why this is advantageous for, for companies like data bricks to, to work through the marketplace, is it makes it so much easier for customers to deploy a solution. It's, it's very, literally one click through the marketplace to get data bricks stood up inside of your environment. And so if you're looking at how do I help customers most rapidly adopt these solutions in the AWS cloud, the marketplace is a fantastic accelerator to that. You >>Know, it's interesting. I wanna bring this up and get your reaction to it because to me, I think this is the future of procurement. So from a procurement standpoint, I mean, again, dating myself EDI back in the old days, you know, all that craziness. Now this is all the, all the internet, basically through the console, I get the infrastructure side, you know, spin up and provision. Some servers, all been good. You guys have played well there in the marketplace. But now as we get into more of what I call the business apps, and they brought this up on stage little nuance, most enterprises aren't yet there of integrating tech on the business apps, into the stack. This is where I think you guys are a use case of success where you guys have been successful with data integration. It's an integrator's dilemma, not an innovator's dilemma. So like, I want to integrate, so now I have integration points with data bricks, but I want to put an app in there. I want to provision an application, but it has to be built. It's not, you don't buy it. You build, you gotta build stuff. And this is the nuance. What's your reaction to that? Am I getting this right? Or, or am I off because no, one's gonna be buying software. Like they used to, they buy software to integrate it. >>Yeah, >>No, I, cause everything's integrated. >>I think AWS has done a great job at creating a partner ecosystem, right. To give customers the right tools for the right jobs. And those might be with third parties, data bricks is doing the same thing with our partner connect program. Right. We've got customer, customer partners like five tra and D V T that, you know, augment and enhance our platform. And so you, you're looking at multi ISV architectures and all of that can be procured through the AWS marketplace. >>Yeah. It's almost like, you know, bundling and unbundling. I was talking about this with, with Dave ante about Supercloud, which is why wouldn't a customer want the best solution in their architecture period. And it's class. If someone's got API security or an API gateway. Well, you know, I don't wanna be forced to buy something because it's part of a suite and that's where you see things get suboptimized where someone dominates a category and they have, oh, you gotta buy my version of this. Yeah. >>Joel, Joel. And that's Joel and I were talking, we're actually saying what what's really important about Databricks is that customers control the data. Right? You wanna comment on that? >>Yeah. I was say the, you know what you're pushing on there we think is extraordinarily, you know, the way the market is gonna go is that customers want a lot of control over how they build their data stack. And everyone's unique in what tools are the right ones for them. And so one of the, you know, philosophically I think really strong places, data, bricks, and AWS have lined up is we both take an approach that you should be able to have maximum flexibility on the platform. And as we think about the lake house, one thing we've always been extremely committed to as a company is building the data platform on an open foundation. And we do that primarily through Delta lake and making sure that to Jack's point with data bricks, the data is always in your control. And then it's always stored in a completely open format. And that is one of the things that's allowed data bricks to have the breadth of integrations that it has with all the other data tools out there, because you're not tied into any proprietary format, but instead are able to take advantage of all the innovation that's happening out there in the open source ecosystem. >>When you see other solutions out there that aren't as open as you guys, you guys are very open by the way, we love that too. We think that's a great strategy, but what's the, what am I foreclosing? If I go with something else that's not as open what what's the customer's downside as you think about what's around the corner in the industry. Cuz if you believe it's gonna be open, open source, which I think opens our software is the software industry and integration is a big deal, cuz software's gonna be plentiful. Let's face it. It's a good time to be in software business, but cloud's booming. So what's the downside from your data bricks perspective, you see a buyer clicking on data bricks versus that alternative what's potentially is should they be a nervous about down the road if they go with a more proprietary or locked in approach? Well, >>I think the challenge with proprietary ecosystems is you become beholden to the ability of that provider to both build relationships and convince other vendors that they should invest in that format. But you're also then beholden to the pace at which that provider is able to innovate. And I think we've seen lots of times over history where, you know, a proprietary format may run ahead for a while on a lot of innovation. But as that market control begins to solidify that desire to innovate begins to, to degrade, whereas in the open format. So >>Extract rents versus innovation. Exactly. >>Yeah, exactly. >>But >>I'll say it in the open world, you know, you have to continue to innovate. Yeah. And the open source world is always innovating. If you look at the last 10 to 15 years, I challenge you to find, you know, an example where the innovation in the data and AI world is not coming from open source. And so by investing in open ecosystems, that means you were always going to be at the forefront of what is the >>Latest, you know, again, not to date myself again, but you look back at the eighties and nineties, the protocol stacked for proprietary. Yeah. You know, SNA at IBM deck net was digital, you know, the rest is, and then TCP, I P was part of the open systems, interconnect, revolutionary Oly, a big part of that as well as my school did. And so like, you know, that was, but it didn't standardize the whole stack. It stopped at IP and TCP. Yeah. But that helped interoperate, that created a nice defacto. So this is a big part of this mid game. I call it the chessboard, you know, you got opening game and mid game. Then you got the end game and we're not there. The end game yet cloud the cloud. >>There's, there's always some form of lock in, right. Andy jazzy will, will address it, you know, when making a decision. But if you're gonna make a decision you want to reduce as you don't wanna be limited. Right. So I would advise a customer that there could be limitations with a proprietary architecture. And if you look at what every customer's trying to become right now is an AI driven business. Right? And so it has to do with, can you get that data outta silos? Can you, can you organize it and secure it? And then can you work with data scientists to feed those models? Yeah. In a, in a very consistent manner. And so the tools of tomorrow will to Joel's point will be open and we want interoperability with those >>Tools and, and choice is a matter too. And I would say that, you know, the argument for why I think Amazon is not as locked in as maybe some other clouds is that they have to compete directly too. Redshift competes directly with a lot of other stuff, but they can't play the bundling game because the customers are getting savvy to the fact that if you try to bundle an inferior product with something else, it may not work great at all. And they're gonna be they're onto it. This is >>The Amazon's credit by having these, these solutions that may compete with native services in marketplace, they are providing customers with choice, low >>Price and access to the S and access to the core value. Exactly. Which the >>Hardware, which is their platform. Okay. So I wanna get you guys thought on something else. I, I see emerging, this is again kind of cube rumination moment. So on stage Chris unpacked, a lot of stuff. I mean this marketplace, they're touching a lot of hot buttons here, you know, pricing compensation, workflows services behind the curtain. And one of the things he mentioned was they talk about resellers or channel partners, depending upon what you talk about. We believe Dave and I believe on the cube that the entire indirect sales channel of the industry is gonna be disrupted radically because those players were selling hardware in the old days and software, that game is gonna change. You know, you mentioned you guys have a program, want to get your thoughts on this. We believe that once this gets set up, they can play in this game and bring their services in which means that the old reseller channels are gonna be rewritten. They're gonna be refactored with this new kinds of access. Cuz you've got scale, you've got money and you've got product and you got customers coming into the marketplace. So if you're like a reseller that sold computers to data centers or software, you know, value added reseller or V or business, >>You've gotta evolve. >>You gotta, you gotta be here. Yes. How are you guys working with those partners? Cuz you say you have a part in your marketplace there. How do I make money? If I'm a reseller with data bricks with eight Amazon, take me through that use case. >>Well I'll let Joel comment, but I think it's, it's, it's pretty straightforward, right? Customers need expertise. They need knowhow. When we're seeing customers do mass migrations to the cloud or Hadoop specific migrations or data transformation implementations, they need expertise from consulting and SI partners. If those consulting SI partners happen to resell the solution as well. Well, that's another aspect of their business, but I really think it is the expertise that the partners bring to help customers get outcomes. >>Joel, channel big opportunity for re re Amazon to reimagine this. >>For sure. Yeah. And I think, you know, to your comment about how to resellers take advantage of that, I think what Jack was pushing on is spot on, which is it's becoming more about more and more about the expertise you bring to the table and not just transacting the software, but now actually helping customers make the right choices. And we're seeing, you know, both SI begin to be able to resell solutions and finding a lot of opportunity in that. Yeah. And I think we're seeing traditional resellers begin to move into that SI model as well. And that's gonna be the evolution that >>This gets at the end of the day. It's about services for sure, for sure. You've got a great service. You're gonna have high gross profits. And >>I think that the managed service provider business is alive and well, right? Because there are a number of customers that want that, that type of a service. >>I think that's gonna be a really hot, hot button for you guys. I think being the way you guys are open this channel partner services model coming in to the fold really kind of makes for kind of that super cloudlike experience where you guys now have an ecosystem. And that's my next question. You guys have an ecosystem going on within data bricks for sure. On top of this ecosystem, how does that work? This is kinda like hasn't been written up in business school and case studies yet this is new. What is this? >>I think, you know, what it comes down to is you're seeing ecosystems begin to evolve around the data platforms and that's gonna be one of the big kind of new horizons for us as we think about what drives ecosystems it's going to be around. Well, what is the, what's the data platform that I'm using and then all the tools that have to encircle that to get my business done. And so I think there's, you know, absolutely ecosystems inside of the AWS business on all of AWS's services, across data analytics and AI. And then to your point, you are seeing ecosystems now arise around data bricks in its Lakehouse platform, as well as customers are looking at well, if I'm standing these Lakehouse up and I'm beginning to invest in this, then I need a whole set of tools that help me get that done as well. >>I mean you think about ecosystem theory, we're living a whole nother dream and I'm, and I'm not kidding. It hasn't yet been written up and for business school case studies is that we're now in a whole nother connective tissue ecology thing happening where you have dependencies and value proposition economics connectedness. So you have relationships in these ecosystems. >>And I think one of the great things about relationships with these ecosystems is that there's a high degree of overlap. Yeah. So you're seeing that, you know, the way that the cloud business is evolving, the, the ecosystem partners of data bricks are the same ecosystem partners of AWS. And so as you build these platforms out into the cloud, you're able to really take advantage of best of breed, the broadest set of solutions out there for >>You. Joel, Jack, I love it because you know what it means the best ecosystem will win. If you keep it open. Sure. You can see everything. If you're gonna do it in the dark, you know, you don't know the outcome. I mean, this is really kind we're talking about. >>And John, can I just add that when I was in Amazon, we had a, a theory that there's buyers and builders, right? There's very innovative companies that want to build things themselves. We're seeing now that that builders want to buy a platform. Right? Yeah. And so there's a platform decision being made and that ecosystem gonna evolve around the >>Platform. Yeah. And I totally agree. And, and, and the word innovation get kicks around. That's why, you know, when we had our super cloud panel was called the innovators dilemma with a slash through it called the integrated dilemma, innovation is the digital transformation. So absolutely like that becomes cliche in a way, but it really becomes more of a, are you open? Are you integrating if APIs are the connective tissue, what's automation, what's the service message look like. I mean, a whole nother set of kind of thinking goes on and these new ecosystems and these new products >>And that, and that thinking is, has been born in Delta sharing. Right? So the idea that you can have a multi-cloud implementation of data bricks, and actually share data between those two different clouds, that is the next layer on top of the native cloud >>Solution. Well, data bricks has done a good job of building on top of the goodness of, and the CapEx gift from AWS. But you guys have done a great job taking that building differentiation into the product. You guys have great customer base, great grow ecosystem. And again, I think in a shining example of what every enterprise is going to do, build on top of something operating model, get that operating model, driving revenue. >>Yeah. >>Well we, whether whether you're Goldman Sachs or capital one or XYZ corporation >>S and P global NASDAQ, right. We've got, you know, these, the biggest verticals in the world are solving tough problems with data breaks. I think we'd be remiss cuz if Ali was here, he would really want to thank Amazon for all of the investments across all of the different functions, whether it's the relationship we have with our engineering and service teams. Yeah. Our marketing teams, you know, product development and we're gonna be at reinvent the big presence of reinvent. We're looking forward to seeing you there again. >>Yeah. We'll see you guys there. Yeah. Again, good ecosystem. I love the ecosystem evolutions happening this next gen cloud is here. We're seeing this evolve kind of new economics, new value propositions kind of scaling up, producing more so you guys are doing a great job. Thanks for coming on the Cuban, taking time. Chill. Great to see you at the check. Thanks for having us. Thanks. Going. Okay. Cube coverage here. The world's changing as APN comes to give the marketplace for a new partner organization at Amazon web services, the Cube's got a covered. This should be a very big growing ecosystem as this continues, billions of being sold through the marketplace. Of course the buyers are happy as well. So we've got it all covered. I'm John furry, your host of the cube. Thanks for watching.
SUMMARY :
Thanks for good to see you again. Yeah, John, great to be here. Obviously it makes it's a no brainer on the micro, you know, You're in the middle of it. you know, unique use cases. So this is speaks volumes to the, the relationship you have years. And when you look at what the APN allows us to do, And so we see customers, you know, doing rapid experimentation pilots, POCs, So you got the big contracts with the private offer. And that's, that is the problem that data bricks is out there to solve, They just couldn't solve before a good example of this, you know, And if you think about what does it take to set that up? So how do you guys look at this? Well, I I'd add what Joel just talked about with, with, you know, what the solution, the value of the solution our entire offering And that really helps customers because if you get data bricks So they're looking at this as saying, you know, multiple ISV spend through that same primary provider, you get pricing And then you gotta say, okay, now let's coordinate our sales teams, a lot of moving parts. So the marketplace allows multiple ways to procure your So it doesn't change your business structure. Yeah, So you guys are actually incented to Yeah. It's the right thing to do for our relationship with Amazon, So one of the other things I might add to that too, you know, and why this is advantageous for, I get the infrastructure side, you know, spin up and provision. you know, augment and enhance our platform. you know, I don't wanna be forced to buy something because it's part of a suite and the data. And that is one of the things that's allowed data bricks to have the breadth of integrations that it has with When you see other solutions out there that aren't as open as you guys, you guys are very open by the I think the challenge with proprietary ecosystems is you become beholden to the Exactly. I'll say it in the open world, you know, you have to continue to innovate. I call it the chessboard, you know, you got opening game and mid game. And so it has to do with, can you get that data outta silos? And I would say that, you know, the argument for why I think Amazon Price and access to the S and access to the core value. So I wanna get you guys thought on something else. You gotta, you gotta be here. If those consulting SI partners happen to resell the solution as well. And we're seeing, you know, both SI begin to be This gets at the end of the day. I think that the managed service provider business is alive and well, right? I think being the way you guys are open this channel I think, you know, what it comes down to is you're seeing ecosystems begin to evolve around So you have relationships in And so as you build these platforms out into the cloud, you're able to really take advantage you don't know the outcome. And John, can I just add that when I was in Amazon, we had a, a theory that there's buyers and builders, That's why, you know, when we had our super cloud panel So the idea that you can have a multi-cloud implementation of data bricks, and actually share data But you guys have done a great job taking that building differentiation into the product. We're looking forward to seeing you there again. Great to see you at the check.
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Lisa Brunet, DLZP Group | AWS re:Invent 2021
>>Here you are new. Welcome back to the cubes. Continuing coverage of AWS reinvent 2021 live from Las Vegas. Lisa Martin, with John farrier, John, we have two live sets. There's a dueling set right across from us two remote studios over 100 guests on the cube at AWS reinvent 2021. Been great. We've had great conversations. We're talking about the next generation of cloud innovation and we're pleased to welcome one of our alumni back to the program. Lisa Bernays here, the CEO and co-founder of D L Z P group. Lisa. Welcome. >>Hi, thank you. I appreciate the opportunity to be here with you and John. It's a great opportunity >>And John's lucky he gets to lease us for the price of London. One second. Talk to me about da DLDP. This is a woman and minority owned company. Congratulations. That's awesome. But talk to us about your organization and then we'll kind of dig into your partnership with AWS. >>Sure. So DLC P group, we found it in 2012. Um, and for us, we were at the time we were just looking for a way to offer a value added service to our customers. We wanted to always make sure that we were giving them the best quality, but what I also wanted to do is I wanted to create an environment for my employees, where they felt valued, and we kind of built these core values back then about respect, flat hierarchy, um, team, team learning, mentorship, and we incorporated, so everybody can do this remotely from around the world. So we've always made sure that our employees and customers are getting the best value. >>Well, what kind of customers, what target market, what kind of customers do you guys work with? >>Well, we've actually made sure that we're diverse. We make sure that we have 50% in public sector and 50% in private sector, but it's been very, very interesting journey for us because once we started one sec, like we started with cities and then a number of cities started contacting us to do more business. So it's always been this hurdle to make sure we're diverse enough to make sure we offer the best solutions. >>And you jumped in with AWS back in 2012 when most folks were still to your point. I saw your interview earlier this summer, thinking about Amazon as a bookstore, why a debit? What did you see as the opportunity back in 2012 with them? >>Well, when we first heard about AWS, my first thought is, well, it's amazon.com. What is AWS? And then once we started talking to them, we saw the capabilities and the potential there. We saw what it could do. So we partnered with them to actually have the first working PeopleSoft customer on AWS. So that's a large ERP application and that helped build the foundation to prove what could actually run on the cloud. And since then, we've been able to prove so much more about the technology and what AWS is accomplishing. >>Was it a hard sell back in the day? >>It was a little bit hard, but it was interesting because we were speaking with one of our customers they're on premise and they're like, well, you know, we're going to have to re do a whole data center. We're talking about millions of dollars. We don't really have the budget to redo this. And that's when we're like, well, we have this great partnership with Amazon. We think this would be the perfect opportunity to let you try the cloud and see how successful it was. >>At least I want to point out you got your, one of the Pathfinders that Adams Leschi pointed out because back in 2012, getting PeopleSoft onto the cloud, which is really big effort, but that's what everyone's doing now. I just saw the news here. SAP is running their application on graviton too, right? So you start to see and public sector during the pandemic, we saw a ton of connect. So you were really on this whole ERP. ERP is our big applications. It's not small, but now it's, everyone's kind of going that way. What's the current, uh, you feel how you feel about that one? And what's the current update relative to the kind of projects you got going on? >>Well, we've, we've evolved quite a bit. I mean, PeopleSoft is always going to be in our DNA. A lot of my employees are ex or Oracle employees. They have developed a lot of the foundations for PeopleSoft, but since then, like we've worked with serverless technology when that was released a number of years ago, we, we asked our team, okay, AWS just talked about Lambda, serverless technology, go figure out what is the best solution. We ended up running ours, our website serverless. We were one of the first. And from that, we brought our website costs down from hundreds of dollars to pennies a month. So it's a huge savings. And then we started, um, about two years ago, we spoke with our utility company. Um, there were saying how with machine learning, they were only going to be able to get a 75% accuracy for their wind turbines. And we said, well, let us take a shot at it. We have some great solutions on AWS that we think might work. We were able to redo their algorithm using AWS cloud native tools, open source data to get a 97 to 99% accuracy on a daily basis. And that saves them millions of dollars each day. >>Don's right. And as Adam was saying with some of the folks, customers, he was highlighting on main stage the other day, you are a Pathfinder. How did you get the confidence? Especially as a female minority owned business. I'd love to just get maybe for some of those younger viewers out there. How did you get the confidence to, you know what? I think we can do this. >>I think for me, I, I, I don't like to take no for an answer. There's always a solution. So we're always looking at technology, seeing how we can use it to get a better answer. >>What do you think about reinvent this year? A lot of goodies here every year, there's always new creative juices flowing because it's a learning conference, but it's also feels like a futuristic kind of conference. What's your take this year? >>I don't know if you happen to attend midnight madness when they were talking about robotics and the future with that. I mean, we've been talking about that for a number of years of what could be created with robotics. Like even my son back in middle school was talking about creating a robot Butler. He just, everybody knows what the future is. And it's so great that we finally have the foundation in technology to be able to create these >>Well, if you're someone that doesn't like to say, no, does your son actually have a robot Butler these >>Days? He's still working on it. >>That's a good answer to say, Hey, sorry, your mom's not going to be there to get the robot. The latency thing. This is the robot. First of all, we'd love the robotics, I think is huge. We just had George on who's the fraught PM for ECE to edge and late, the wavelength stuff looks really promising for the robotics stuff. Super exciting. >>Yes. We can't wait to start playing with it more. I mean, it's something that our team has been dabbling. We spent probably about 30% of our time on R and D. So we're looking at the future and what we can invent next because >>You guys can affect such dramatic changes for customers. You talked about that wind turbine customer going from 75% accuracy to 97, 90 8%. Where are your customer conversations? Cause that's, is, are they at the C level with showing organizations that dramatic reduction in costs and workforce productivity increased that they can get? >>We talk with everyone it's it could be the solution architect. It could be an intern. It could, and we're just sharing our ideas with them. And we also talk with the C level. Um, it's just, it's everybody is interested in and they have different, different ideas that they want to share. So with the solution architect, we can share with them the code and how we're going to architect it. While the C level, we just pointed out black and white, this is your cost. Now this is what your cost is going to be. And everybody is happy. They, they jump on board with it. >>Lisa, you mentioned 30% R and D by the way, it's awesome. By the way, that's well above most averages, what are you working on? Because I totally think companies should have a big R and D play around budget, get a sandbox, going get some tinkering. Cause you never know where the real discoveries we had. David Brown who runs NC to nitro, came out of a card on the network. So you'd never know where the next innovation comes from. What's the, what are you guys doing for R and D? What's the fun projects are what endeavors. >>So there's two of them. One is actually a product, which is a little bit out of our comfort zone, but we're, we're, we're looking to develop something that will be able to help, um, NASA. So that's the goal where, you know, we've been working on it since they released their ma their mission to Mars projection. So it's something that we're very passionate about, but then we're also building a software. Uh, we've been working on it for about three years now and we actually have two customers prototyping it. So we're hoping to be able to launch it to the public within the next year. >>You mentioned NASA and I just about jumped out of my chair. That was my first job out of grad school was really the space program. Can you tell us a little bit more about what you're helping them do? I love how forward-thinking that they are, obviously they always have been, but tell me a little bit more about that. >>So I can't share too much because it's one of those things is a common sense thing. Once you think about a little bit more, it's kind of like why didn't anybody never think about this? So we're using new technology and old technology together to combine the solution. >>Ooh, I can't wait to learn more. Talk to us about these. Think big for small business TB SB program at AWS. How long have you guys been a part of that and what is it enabling? What is it going to enable you to do in 2022? So >>The think big for small business program was the brainchild is Sandy Carter. And I am always, always going to be grateful to her. Um, I met with her in 2019. I shared her journey, our journey with her about how we started out being a premier partner and then over time, because there's so many other partners, we were downgraded. And because just because we're a small business, and even if I had every employee, even my admin staff certified, we would never have enough employees to be to the next level, even though we had the customers, the references. So she listened to us and other small businesses and created the program. And it's been a great opportunity for us because we're, we're gaining access to capital, you know, funding for opportunities. We're getting resources for training. So it, for us, it's been a huge advantage. >>It sounds like a part of that AWS flywheel that we always talk about. John Sandy Carter being one of our famous Cuba alumni. She was just on yesterday with you. Okay. >>And there's so many opportunities for all businesses because you can, you can tackle these problems. You don't have to be a large partner. You can have specialty in AI works really well in these specialized environments. And even technically single-threaded multithreaded applications, which is a technical CS term is actually better to have a single threaded. If you have too many cores, it's actually bad technically. So the world's changing like big time on how technology. So I'm a huge fan of the program. And I think like it's just one of those things where people can get it from cloud and be successful. >>Yes. And that's the goal. I mean, there is so much opportunity in the cloud and we bring interns on all the time, just so they can learn. And what, what resonated with me the most was we brought a high school senior in, he goes, I was with you guys for three months. I learned more in three months, I did four years of high school. And he's like, you set me up for the future. >>Oh my gosh. If there's not validation for you doing in that statement alone. My goodness. Well, you know, some of the things that, that are so many exciting announcements that have come out of this reinvent, so great to be back in person one. Um, but also, you know, being able to help AWS customers become data companies. Because as we were been talking about the last couple of days, every company has to be a data company. You gotta figure it out. If you're, if you haven't by now, there's a competitor right back here, who's ready to take your spot. Talk to us about what excites you about enabling companies to become data companies as we head into 2020. >>Well, for us, everybody has so much data nowadays. You know, I mean even think about cell phones, how much data is stored in that. So each device has so much information, but what do you do with it? So it's great because a lot of these companies are trying to figure out what, how can we use this data to prove that improve the experience for our customers? So that's where we've been coming in and showing them, okay, well, you can take that data. You look at Lisa and John cell phone. You see that they, they love to look up where they're going to go on their next vacation. You can start creating algorithms to make sure that they get the best experience one for the next vacation to make sure it's not a won't Rob the bank. >>Awesome. And going on vacation tomorrow. So I'll be, I'll be expecting some help from you on that. It's been great to have you on the program. Yeah. Congratulations on the success, the partnership, and where can folks go if if young or old years are watching and are interested in working with you, it's the website where they, where can they go to learn more >>Information? So they can go to D L Z P group.com >>DLZ P group.com. Awesome. Lisa, thanks so much for coming back on the program. Great >>To see you. Thank you so much. All >>Right. For John furrier, I'm Lisa Martin and you're watching the cube, the global leader in live tech coverage.
SUMMARY :
We're talking about the next generation of cloud innovation and we're pleased to welcome one of our alumni back I appreciate the opportunity to be here with you and John. And John's lucky he gets to lease us for the price of London. We wanted to always make sure that we were giving them the best quality, but what I also wanted to do is journey for us because once we started one sec, like we started with cities and And you jumped in with AWS back in 2012 when most folks were still to your point. ERP application and that helped build the foundation to prove what could actually It was a little bit hard, but it was interesting because we were speaking with one What's the current, uh, you feel how you feel about that one? I mean, PeopleSoft is always going to be in our DNA. And as Adam was saying with some of the folks, customers, I think for me, I, I, I don't like to take no for an answer. What do you think about reinvent this year? I don't know if you happen to attend midnight madness when they were talking about robotics and the future He's still working on it. That's a good answer to say, Hey, sorry, your mom's not going to be there to get the robot. So we're looking at the future and what we can invent next because from 75% accuracy to 97, 90 8%. And we also talk with the C level. What's the, what are you guys doing for R and D? So that's the goal where, you know, we've been working on it since Can you tell us a little bit more about what you're helping them do? Once you think about a little bit more, it's kind of like why didn't anybody never think about this? What is it going to enable you to do So she listened to us and other small businesses and created the program. It sounds like a part of that AWS flywheel that we always talk about. So I'm a huge fan of the program. the most was we brought a high school senior in, he goes, I was with you guys for three months. Talk to us about what excites you about enabling companies to become data companies as So that's where we've been coming in and showing them, okay, well, you can take that data. to have you on the program. So they can go to D L Z P group.com Lisa, thanks so much for coming back on the program. Thank you so much. the global leader in live tech coverage.
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Krishna Doddapaneni and Frank Reichstein | Aruba & Pensando Announce New Innovations
>>Hey, welcome to this continuing coverage of the H P E Aruba. Pensando announcement. I'm lisa martin. Hopefully you've seen by now the announcement from john and Antonio, we're going to get into some technical details. Now I've got two guests joining me. Please welcome Krishna Otopeni, the VP of engineering at Pensando and frank Reich stein, senior Director platform engineering from HP Aruba guys welcome to the program. >>Hi lisa. >>Hi lisa. Thanks for having us. >>Sure. So we're going to, we're going to dig in here. You guys are tasked with bringing these two worlds together, christian. Let's go ahead and start with you talk to me about the announcement why this is so significant and then we'll dig into the technical details. >>Yeah. So as you know, right, Pensando has been in the market for a couple of years right now. Um, and we heard a lot of success with the cloud providers and we're also working with be a million project Montreat. Um, so what we learned in the last couple of years, we're trying to take all the lessons and I was a little bit going to what, what we learned with the crop, your providers. So we took a dsC card, which is a B C, a form factor, the customer takes dsC card inserts into the, into server with various forces and hypervisors. So it's really exciting that the BSE is in production with some of the providers already and some of them were taking to production in this calendar quarter and we also have in connection with that first generation BSC cards a couple of years and some of the biggest banks and storage platform providers. So, so this is kind of a big deal for us because we are starting with what we call a D P U. Uh that Pensando is bailing which is the latest generation of it is called code named Alba which delivers the software in silicon program ability while matching the performance of hardware. So internally the DPU has the tight integration between special purpose processors that consent of what we call mps and a general purpose processor like arm course where we do the management and control software and with tied together with offload engines like encryption and compression. The key takeaway from this platform. Their consent of belt. It's it's programmable at all layers Either by Pensando or our customers whether it's in data plane using P four or control and management plane. All right. So what we learned while developing this platform and taking this production with the public cloud providers, we realize that the platform and architecture is not only very highly scalable with very high performance with respect to, you know, packets per second or stable connections per second or NBA me I ops but it's also adaptable like a very rapid paced. And another key lesson that we learn from our cloud partners is that the new devoPS model operations is as important as functionality. For example, the importance of creating the DPU pipeline the subsequent guarantees or providing Hatch uh first fateful connections so that in some cases the component fails, there is hardware or software customer doesn't have any disruption in his network or storage operations. So we took all the ski lessons that we learned over the last few years. And then we are building a new platform partnering with Aruba team which is very high scale with very high performance at the same time, tied with very good operations um that you know it comes the best of both both platforms from the pew side and from the Aruba side frank they want to add on the Aruba platform side. >>Sure, yeah. So the Aruba networking team has been building network switches for the past 25 years and we've been following all of the trends and evolutions over that time frame. And as we've gone through a few years ago we decided to make an evolution of our operating system to scale it up for the modern needs of the modern world. And this included doing things like designing with a micro services oriented architecture to provide for a high degree of resiliency throughout the product line. And then being able to extend that single network operating system from the core to the edge of the network. As we've been partnering with Pensando, it came very clear that the evolution of the network the next step was this form of a deep, you integrated into that top of rack switch to provide a deeper and richer feature set and what has traditionally been available in your top of rack switch. And so this partnership has enabled us to leapfrog but has been traditional top of rack functionality and add to it. Things that previously were not attainable in that layer of the network >>frank. Continuing on with you. Talk to me about some of the technology requirements and challenges of designing and engineering and delivering the industry's first distributed service switch. What were some of those? >>Sure, sure. So a lot of the challenges around integrating this type of solution come down to how to ensure that you have the highest performance possible and maintaining high speed of performance when you're now introducing an additional pay hop within the network topology inside of the switch, a lot of that came down to integrating the background and skill setting capabilities that come along with osc x that were made it quick for us to enable a new piece of functionality within the architecture and then a lot of credit has to go to the Pensando team for the richness of the feature setting capability set that they have within that DPU product as it stands >>christian, let's go ahead and dig through some of those core features and capabilities that are really going to be benefiting customers. >>Yeah, so basically right, uh taking a little bit of step back, we started with the dsc market from Pensando perspective where we wanted to put gPU in every survey and we obviously have success in enterprise customers and cloud customers that we discussed earlier. But we also learned a few lessons while deploying DSC and enterprise markets in the sense that enterprise markets do not need the performance of every DSC at 200 G full duplex network services for every survey. And also you know what makes historic key is that you know, there are a lot of brownfield service in current enterprise data centers where customers do not want to open up a server to put the DSC in. So we wanted to give a product with the form factor that frank is talking about and technology that's very familiar to every IT department given the Aruba Lois uh in a deployment in data centers. And also as I said earlier, what we lessons that we learned, we came up with this taking this production very deep you software and hardware which is deployed in public clouds. And combined with those features that that have been rapidly evolving uh through multiple Aruba releases into enterprise data centers in a switch form factors. So what we think is by doing this taking the best of both worlds. We're creating a new product category that is not that is for the features and capabilities are not available in the market from any vendor specifically providing state full services at every tour without the complexity of the service redirection because today's data centers if you want to install services. It's a it's a lot of effort operator to bring in those services. This obviously also has a great operational model, great TCO and the functionality that customers that you never see in tar before. For example, in the first release we are providing state full firewall with the visibility at every floor level that goes through the tower which never existed in the market before. >>New product category. That's a big deal christian. Talk to me a little bit about how long you guys have been at this, you were in stealth mode crack that open for us. >>I mean it has been a less than a year but of development that both teams have been doing and we work very closely together and we meet I mean for sure at least more than a week uh you know, more than once the once a week between uh frank's team and you know, and send it to them and there's a coordination between the sales team and the marketing team and the go to market team and then how we sell it and the manufacturing team, there's a lot goes on in building this product. I mean we believe this is the fastest uh tard new generational product that we built because because we could do that because the experience of both the teams trying they want anything more to this one. >>Yeah, I think that that really goes to the point here. The capabilities and maturity of the deep you solution that Pensando was bringing into the solution really allowed for a very fast and seamless integration on top of that Aruba, OsC X and the platform that we built there with automated Api generation and integration with our Aruba fabric composer orchestration layer really created the capability to make things go as fast as possible for this development effort And so to really take a new product and define a new product space within a 12 month time frame has been a really exciting and impressive feat by both teams. >>Very impressive considering the challenges and the dynamics in the market and the global market that we've had frank. How big of a lead do you think you have on incumbents here? >>I think we have a substantial lead on the incumbents here. I think what we're doing is a fundamentally different take on how you do a top of rack switch and the capabilities that we're bringing to bear at the top of rack are fundamentally new and differentiated from what the competition has been thinking about. So I believe we have a substantial lead on the competition. >>Excellent chris to talk to me about what's next? What's the future? I have some secret sources that tell me that john and Antonio are meeting regularly pushing you guys, what does the future hold. >>Yeah. So I mean obviously this is the start of an exciting journey. There's a first platform you're bringing to the market jointly and obviously we like a bunch of form factors without upcoming road map. So additionally I mean the software in silicon performance that with all the services that we deliver a software means that scope and scale of the state will services that we can deliver and evolve over time whether you talk about security or encryption or state flat or load balancing or d does all of the services and then you know hybrid connectivity. So obviously you know there's a lot that we can do with this platform that will be driven by with the partnership with our customers. We also see that you know the market of all where you know all the customers we'll have some customers will have deep us in the service and some customers will use the new platform that we're bringing together. So we won't have all the management start to make sure all of them can be managed uniformly and any time you know you this is a major step for a new category of platform and architecture we're developing jointly with the rubber and I believe this will be a huge opportunity for both the companies and our customers and this is exciting times ahead for us >>and talk to me both of your opinions here where can customers go to find more information, how can they get started frank will go ahead and start with you. >>Yeah you can jump straight to Aruba networks dot com and dig into the feature sets and packages that we have available with the Aruba 10-K product line direct from there. >>Fantastic christian anything to add >>that is correct actually. So we are treating it as one product coming from both the companies. All the documentation is where you know, frank pointed out in Aruba website, we put all the documentation at the same place and we're supporting it as one unified product from both the companies. >>Are you seeing any? We've seen so much change in the last year and a half. Last question. I'm just wondering if if either of the HPV riverside or the pence underside is seeing any industries that might be really prime to take advantage of knowing how many industries all have been affected by the events of the last year and a half christian any thoughts there? >>Yeah, I mean if you look at it right and obviously all of us are working from home and now everything happens, you know, mostly at the edge, right? You know, and we are in that this platform will help us get there where we get security to the edge and we get more visibility and more services to the edge. Right? So I mean that's what you know Pensando is all about and hoping that you know, this is uh this journey that we started with the D. P us, we go with this platform and it will ever all and it will help customers, our customers and our partners leverage all the functionality that, you know, Pensando and the rubber can bring together. >>Well guys, congratulations on an enormous feat accomplished in not just a 12 month time period, but a very challenging 12 month time period. We appreciate you guys breaking down the HP Aruba Pensando announcement and more technical detail. Those can go to learn more information and again, congratulations. >>Thank you. >>Thank you very much lisa >>for my guests. I'm lisa martin. You're watching this HP Aruba Pensando announcement. Thanks for watching. >>Mhm >>mm.
SUMMARY :
the VP of engineering at Pensando and frank Reich stein, senior Director platform Thanks for having us. Let's go ahead and start with you talk to me about the announcement why this is so significant and then we'll dig tied with very good operations um that you know it comes the best of both So the Aruba networking team has been building network switches for the past 25 and engineering and delivering the industry's first distributed service switch. So a lot of the challenges around integrating this type in the first release we are providing state full firewall with the visibility at every floor level Talk to me a little bit about how long you guys have been at this, team and the marketing team and the go to market team and then how we sell it and the manufacturing team, maturity of the deep you solution that Pensando was bringing into the solution really How big of a lead do you think you have on incumbents here? So I believe we have a substantial lead on the competition. that john and Antonio are meeting regularly pushing you guys, what does the future hold. So additionally I mean the software in silicon performance that with all the services how can they get started frank will go ahead and start with you. and packages that we have available with the Aruba 10-K product line direct from there. So we are treating it as one product coming from both the companies. events of the last year and a half christian any thoughts there? know, this is uh this journey that we started with the D. We appreciate you guys breaking down the HP Aruba Thanks for watching.
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John Galatea, Dasher Technologies | Aruba & Pensando Announce New Innovations
>>mm we are back and we're continuing the coverage on H P E. Aruba's news today around the D S X six S C X 10-K with Pensando. Now we want to get the perspective of a system Integrator because they're in the front lines, they understand how to put the pieces together where you're happy to bring john Galatea of Dasher technologies dashes and in the end I. T solutions provider, they gotta focus a lot of expertise on infrastructure, jOHn welcome. Good to see you. >>Thank you for having me. Good to be here. >>That's our pleasure. So I wonder if you could give us a little bit more color on Dasher where you focus what your core companies competencies are, what industries you focus on etcetera. >>Yeah, absolutely. So a dasher, we assess architect implement and manage I. T. Solutions that digitally transform businesses. Our practice areas include cybersecurity, networking, cloud data center and we also offer pro professional services around those practice areas. We partner with all the major tech companies in the space. Some of the examples are HP, Cisco, Aruba Palo Alto eight Ws and many others that fill out the, you know that practice area. >>Well that's great. So you have a very wide observation space, that's why we like talking to SA as you have an independent mindset and you can kind of tell it like it is. But so what are you seeing with customers? It's exactly, we hear a lot about digital transformation, you mentioned security, you're obviously doing cloud that's it's almost like john these pieces are all coming together to power Digital and digital transformation and we were forced into it over the past 18 months. And now people are stepping back saying hey okay we have all these resources, how do we put them together and really transform our business? What do you see? >>Yeah, seeing similar things. So you know, our customers are telling us that they're looking for more speed, more agility, um you know, limited complexity because they're trying to do more every single day with less staffing and a sophistication of integrating functionality that breaks down I. T. Silos. Um there also evaluating security span versus effectiveness And they're moving towards zero trust. >>Yeah. So I want to, I'm gonna come back and ask you about that. So I've written a lot about this is that you look at how much we spend versus as you say the effectiveness and there's sort of an imbalance there, it's like we can't spend enough, it budgets they're not infinite. And even though security is top of top priority for ceos, they've got other things that they have to fund and then zero trust, you know, before the pandemic john that was a buzzword and now it's become a mandate. Any thoughts on that >>in terms of zero Trust? Absolutely yeah it is a mandate, we've seen more and more of our customers moving toward in this direction and defending themselves against cyber threats and yeah absolutely. It accelerated during the pandemic and is continuing to accelerate today. >>Right? And I think there's some things that were reported now going to be permanent with regard to obviously hybrid and the like, cloud security and so forth. So, okay, let's get into some of the news here. What's the big trend, john can you explain the relevance of the H P E, Aruba and Pensando news? >>Yeah, I mean when I first heard of it, you know, I I looked at it as a whole new category because it's a category that's going to deliver cloud scale distributed services closer to where applications are. It's going to simplify. One of the things we mentioned earlier was limiting complexity. So it simplifies the network um, by putting security provisions and operations in a unified management platform and it helps improve your security posture around moving towards zero trust and limits the appliance and vendor sprawl that you might ordinarily have in a in a existing network today. >>Okay, so that's kind of the business cases, you're consolidating a lot of piece parts and that's, you know, from a system integrator standpoint. You know, it's funny people often say, well, isn't that bad for the s I'm like, no, they don't want to be in the business of plumbing, they want to be in the business of, you know, more strategy if they if they just end up bolting stuff together, they're going to go out of business, They need to extend their value. So as a strategic partner, you got an early preview of this launch? The D S S D S S C X 10,000, what was your initial impression reaction you called it? A new category? What do you mean by that? >>Well, it's a new category of of of a data center switch in the digital infrastructure because it includes or incorporates security. Um And more specifically it includes security around east west traffic, which is it doesn't eliminate your perimeter firewall but it actually incorporates more functionality which leads to better simplicity and easier use of management of a platform. So for us, I'm really excited to go position and talk to our clients about this. >>Yes. So we're seeing the flattening of that network, that's even it's obviously been accelerated by the pandemic, everybody talks about that. But if you think about the traditional headquarter hierarchical network and now all of a sudden everybody's working remotely using more cloud. Using more distributed infrastructure that flattens the network. That creates security challenges because you can't just build a perimeter and say, okay, we're safe. You now have to go to where the adversary is and that's everywhere. So what's your sense as to how customers are going to react to this new category of switch? >>I think really my sense is that I've got a really positive outlook on this product. I mean hardware, firewalls are costly and deploying software agents can be very disruptive and when you're integrating it into the switch layer. So um I think the C X 10,000 provides a great alternative to an embedded accelerated services embedded in accelerate service into the D C fabric. Um, it's great for brownfield migration, um, rack pod and you know, and the standards based leaf, you know, L two, L three um, and it doesn't necessarily replace, as I mentioned earlier the perimeter security, but um, it can cap and grow with DSS and east west firewall traffic. >>Yeah. And I think we've seen when we talked to see so, so like you said, it does, it doesn't replace the traditional perimeter security but you're going to see a shift and spending priorities obviously to a comedy because as I said earlier, there's not infinite budget but john give us the big takeaway, Bring us home. What what, what do you want to leave our audience with? >>Yeah, I think, you know, the number one takeaway is that it's a massive opportunity to reduce complexity, enhanced security and lower costs in the data center by eliminating dedicated devices and embedding services through software capability in the network closer to where workloads are are moving. So that's the big takeaway for me and for, I think for our clients, um, you know, other things are, you know, you're the data center perimeter is no longer confined and open an on prem location but extends out, right. We're seeing customers extend out to the cloud and across uh, you know, disparate locations, co locations. So The traditional architecture isn't going to be well suited for this, and I think the CX- 10,000 and its feature set are going to be really great for addressing the changing market. >>Yeah, that's, that's all. I mean, again, we're seeing the democratization of everything and and networking is, is no exception. The notion of simplify simplification, john really appreciate your time. Thanks for coming on. >>Thank you for having me. >>You're welcome. Okay, keep it right. There were unpacking the changing trends in networking generally, and specifically switch networking with HP, Aruba and Pensando and the cube. Keep it right there.
SUMMARY :
in the front lines, they understand how to put the pieces together where you're happy to bring john Thank you for having me. So I wonder if you could give us a little bit more color on Dasher where you know that practice area. So you have a very wide observation space, that's why we like talking to SA as you have an independent So you know, our customers are telling us that they're looking for more look at how much we spend versus as you say the effectiveness and there's sort of an imbalance there, the pandemic and is continuing to accelerate today. What's the big trend, john can you explain the relevance Yeah, I mean when I first heard of it, you know, I I looked at it as a whole new category like, no, they don't want to be in the business of plumbing, they want to be in the business of, you know, Well, it's a new category of of of a data center switch in the digital That creates security challenges because you can't just build a perimeter and say, and the standards based leaf, you know, L two, L three um, What what, what do you want to leave our audience with? I think for our clients, um, you know, other things are, you know, you're the data center I mean, again, we're seeing the democratization of everything and and networking and specifically switch networking with HP, Aruba and Pensando and the cube.
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Keynote Analysis with Stu Miniman, Red Hat | KubeCon + CloudNative Con NA 2021
>>Hello everyone Welcome to the cubes coverage of cubic on cloud native come here in person in L A 2021. I'm john ferrier, host of the Cuban Dave Nicholson host cloud host for the cube and of course former host of the cube steve minutemen. Now at red hat stew, we do our normal keynote reviews. We had to have you come back first while hazard and red hat >>john it's phenomenal. Great to see you nice to have Dave be on the program here too. It's been awesome. So yeah, a year and a day since I joined Red hat and uh, I do miss you guys always enjoyed doing the interviews in the cube. But you know, we're still in the community and still interacting lots, >>but we love you too. And Davis, your new replacement and covering the cloud angles. He's gonna bring little stew mo jokes of the interview but still, we've always done the wrap up has always been our favorite interviews to do an analysis of the keynote because let's face it, that's where all the action is. Of course we bring the commentary, but this year it's important because it's the first time we've had an event in two years too. So a lot of people, you know, aren't saying this on camera a lot, but they're kind of nervous. They're worried they're weirded out. We're back in person again. What do I feel? I haven't seen people, I've been working with people online. This is the top story. >>Yeah, john I thought they did a really good job in the keynote this morning. Normally, I mean this community in general is good with inclusion. Part of that inclusion is hey, what are you comfortable with if your remote? We still love you and it's okay. And if you're here in person, you might see there's wrist bands of green, yellow, red as in like, hey, you okay with a handshake. You want to do there or stay the f away from me because I'm not really that comfortable yet being here and it's whatever you're comfortable with. That's okay. >>I think the inclusion and the whole respect for the individual code of conduct, C N C. F and limits Foundation has been on the front end of all those trends. I love how they're taking it to a whole nother level. David, I want to get your take because now with multi cloud, we heard the same message over and over again that hey, open winds, okay. Open winds and still changing fast. What's your take? >>Open absolutely wins. It's uh, it's the present. It's the future. I know in some of the conversations we've had with folks looking back over the last seven years, a lot of things have changed. Um, whenever I think of open source anything, I go back to the foundations of Lennox and I remember a time when you had to reboot a Linux server to re scan a scuzzy bus to add a new storage device and we all sort of put our penguin hats on and kind of ignored that for a while. And uh, and, and as things are developed, we keep coming into these new situations. Multi cluster management was a big, big point of conversation in the keynote today. It's fascinating when you start thinking about something that was once sort of a back room science experiment. Absolutely. It's the center of the enterprise now from a software >>from an open tour standpoint security has been one of those front and center things. One of the day, zero events that got a lot of buzz coming at the beginning of the week was secure supply chain. So with the Solar Wind act going in there, you know, we remember cloud, wait, can I trust it with the security? Open source right now. Open source and security go together. Open source and the security in the cloud all go together. So you know that that wave of open source, obviously one of the things that brought me to red hat, I'd had a couple of decades, you know, working within the enterprise and open source and that that adoption curve which went through a few bumps in the road over time and it took time. But today, I mean open sources have given this show in this ecosystem are such proof >>points of a couple things. I noticed one, I want to do a shout out for the folks who put a nice tribute for dan Kaminsky who has passed away and we miss him. We saw on the Cube 2019, I believe he's on the Cube that year with Adam on big influence, but the inclusiveness do and the community is changing. I think security has changed a lot and I want to get your guys take on this. Security has forced a lot of things happen faster data, open data. Okay. And kubernetes to get hardened faster stew. I know your team's working on it. We know what Azure and amazon is working on it. What do you guys think about how security's been forcing the advances in kubernetes and making that stable? >>Yeah. So john security, you know, is job one, it is everyone's responsibility. We talk about it from a container and kubernetes standpoint. We think we have a relatively good handle on what's happening in the kubernetes space red hat, we made an acquisition earlier this year of stack rocks, which was one of the leading kubernetes native security pieces. But you know, john we know security isn't just a moat anymore in a wall that you put up every single piece. You need to think about it. Um, I've got a person from the stack rocks acquisition actually on my team now and have told him like hey, you need to cross train all of us. We need to understand this more from a marketing standpoint, we need to talk about it from a developer standpoint. We need to have consideration of it. It's no longer, hey, it works okay on my machine. Come on, It needs to go to production. We all know this shift left is something we've been talking about for many years. So yes, security, security, security, we cannot overemphasize how important is um, you know, when it comes to cooper, I think, you know, were relatively mature, we're crossing the chasm, the adoption numbers are there, so it's not an impediment anymore. >>It's totally next level. I don't agree with this too. David, get your thoughts on this whole adoption um, roadmap that put it together, one of the working groups that we interviewed has got that kind of navigate, kinda like trailheads for salesforce, but that speaks to the adoption by mainstream enterprises, not the hard core, >>you know, >>us devops guys, but like it goes into mainstream main main street enterprise had I. T. Department and security groups there, like we got a program faster. How do you see the cloud guys in this ecosystem competing and making that go faster. >>So it's been interesting over the last decade or more often, technology has been ahead of people's comfort level with that technology for obvious reasons, it's not just something went wrong, it's something went wrong. I lost my job. Really, really bad things happened. So we tend to be conservative. Rightfully so in the sometimes there are these seminal moments where a shift happens go back sort of analogous go back to a time when people's main concern with VM ware was how can I get support from Microsoft and all of a sudden it went from that within weeks to how can I deploy this in my enterprise very, very quickly. And I'm fascinated by this concept of locking down the supply chain of code, uh sort of analogous to https, secure, http. It's the idea of making sure that these blocks of code are validated and secure as they get implemented. You mentioned, you mentioned things like cluster and pad's security and infrastructure security. >>Well, David, you brought up a really good point. So get off is the instance creation of that. How can I have my infrastructure as code? How can I make sure that I don't have drift? It's because I could just, it'll live and get hub and therefore it's version controlled. If I try to do something, it will validate that it's there and keep me on version because we know john we talked about it for years on the cube, we've gone beyond human scale if I don't build automation into it, if I don't have the guard rails in place because humans will mess things up so we need to make sure that we have the processes and the automation in place and kubernetes was built for that automation at its core, putting in, we've seen get up the Argosy, D was only went graduated, you know, the one dato was supported as coupon europe. Earlier this year, we already had a number of our customers deploying it using it. Talking publicly >>about it too. I want to get the kid apps angle and that's a good call out there and, and mainly because when we were on the cute, when you work, you post with with us, we were always cheerleading for Cuban. It we love because we've been here every single coupon. We were one saying this is gonna be big trust us and it is, it happens to so, but now we've been kind of, we don't have to sell it anymore. We don't, I mean not that we're selling it, but like we don't have to be a proponent of something we knew was going to happen, it happened. You're now work for a vendor red hat you talk to customers. What is that next level conversation look like now that they know it's real, they have to do it. How is the tops and then modern applications development, changing. What are your observations? Can you share with us from a redhead perspective as someone who's talking to customers, you know, what does real look like? >>Yeah. So get off is a great example of that. So, you know, certain of our government agencies that we work with, you know, obviously very secured about, you know, we want zero trust who do we put in charge of things. So if they can have, you know that that source of truth and know that that is maintained and lockdown and not await some admin is gonna mess something up on us either maliciously or oops, by accident or anything in between. That's why they were pushing that adoption of that kind of technology. So absolutely they, for the most part john they don't want to have to think about the infrastructure piece anymore. What if developers want the old past days was I want to be able to, you know, write once deploy anywhere, live anywhere, containers helps that a little bit. We even have in the container space. Now you can, you can use a service deployment model with Okay. Natives, the big open source project that, you know, VM ware ourselves are working on google's involved in it. So, you know, having us be able to focus on the business and not, you know, running the plumbing anymore. >>That's exactly, that's exactly, that's what we're so psyched for. Okay guys, let's wrap this up and and review the keynote day will start with you. What do you think of the keynote? What were the highlights? What do you take away from the taste keynote? >>So you touched on a couple of things, uh inclusion from all sorts of different angles. Really impressive. This sort of easing back into the world of being face to face. I think they're doing a fantastic job at that. The thing that struck me was something I mentioned earlier. Um moving into multi cluster management in a way that really speaks to enterprise deployments and the complexity of enterprise deployments moving forward? It's not just, it's not just, I'm a developer, I'm using resources in the cloud. I'm doing things this way, the rest of the enterprises doing it a legacy way. It's really an acknowledgement that these things are coming together increasingly. That's what really struck me >>to do. What's your takeaway from the end? >>So there's been a discussion in the industry, you know, what do the next million cloud customers look like we've crossed the chasm on kubernetes. One of the things they announced the keynote is they have a new associate level certification because I tell you before the keynote, I stopped by the breakfast area, saturday table, talk to a couple people. One guy was like, hey, I'm been on amazon for a bunch of years, but I'm a kubernetes newbie, I'm here to learn about that. It's not the same person that five years ago was like, I'm gonna grab all these projects and pull them down from getting, build my stack and you know, have a platform team to manage it from a red hat standpoint, we're delivering our biggest growth areas in cloud services where hey, I've got an SRE team, they can manage all that because can you do it? Sure you got people maybe you'll hire him, but wouldn't you rather have them work on, you know, that security initiative or that new application or some of these pieces, you know, what can you shift to your vendor? What can you offload from your team because we know the only constant is that things are gonna there's gonna be gonna be new pieces and I don't want to have to look at, oh there's another 20 new projects and how does that fit? Can I have a partner or consultant in sc that can help me integrate that into my environment when it makes sense for me because otherwise, oh my God, cloud, So much innovation. How do I grasp what I want? >>Great stuff guys, I would just say my summary is that okay? I'm excited this community has broken through the pandemic and survived and thrived people were working together during the pandemic. It's like a V. I. P. Event here. So that my keynote epiphany was this is like the who's who some big players are here. I saw Bill Vaz from amazon on the on the ground floor on monday night, He's number two at a W. S. I saw some top Vcs here. Microsoft IBM red hat the whole way tracks back. Whole track is back and it's a hybrid event. So I think we're here for the long haul with hybrid events where you can see a lot more in person, V. I. P. Like vibe people are doing deals. It feels alive too and it's all open. So it's all cool. And again, the team at C. N. C. F. They do an exceptional job of inclusion and making people feel safe and cool. So, great job. Thanks for coming on. I appreciate it. Good stuff. Okay. The keynote review from the cube Stupid Man shot for Dave Nicholson. Thanks for watching >>mm mm mm.
SUMMARY :
We had to have you come back first while hazard and red hat I do miss you guys always enjoyed doing the interviews in the cube. So a lot of people, you know, aren't saying this on camera a lot, but they're kind of nervous. Part of that inclusion is hey, what are you comfortable with C N C. F and limits Foundation has been on the front end of all those trends. I go back to the foundations of Lennox and I remember a time when you had to reboot a Linux server So with the Solar Wind act going in there, you know, we remember cloud, wait, What do you guys think about how security's But you know, john we know security isn't just a moat anymore in a wall that you put up every not the hard core, How do you see the cloud It's the idea of making sure that these blocks of code are you know, the one dato was supported as coupon europe. you know, what does real look like? Natives, the big open source project that, you know, VM ware ourselves are working on google's What do you take away from the taste keynote? So you touched on a couple of things, uh inclusion from all sorts of different angles. to do. So there's been a discussion in the industry, you know, what do the next million cloud customers look So I think we're here for the long haul with hybrid events where you can see a lot more
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Mark Geene, UiPath & Peter Villeroy, UiPath | UiPath FORWARD IV
>>from the bellagio hotel in Las Vegas >>it's the >>cube >>covering Ui >>Path Forward four brought to you >>by Ui Path. >>Welcome back to las Vegas. The cube is live with you. I Path forward four at the bellagio lisa martin with Dave Volonte. We're gonna be talking about you I Path integration suite, we have a couple of guests joining us here. Mark Jeannie is here the GM of Ui Path, formerly the co founder and Ceo of cloud elements and Peter Villeroy also joins us Director of Global I. T. Automation practice at UI Path guys welcome to the program. >>Thanks lisa. Great to hear. >>So Mark, let's go ahead and start with you. The Cloud elements acquisition was done in about the last six months. Talk to us about why you chose to be acquired by Ui Path and where things are today. Some big announcements yesterday. >>Yeah absolutely. So yeah if you go back six months ago um you know we have been in conversations with you I Path for for quite a while and um you know as we were looking at our opportunities as an api integration platform. So cloud elements just to step back a little bit um was a leader in helping companies take a P. I. S integrate applications together and bed that into their into their apps and um you know I Path approached us about the combination of what's happening in the automation world and you know these these have been a society as the marine Fleming from I. D. C. Mentioned this morning integration and DARPA have been separate swim lanes and what we saw and what you I. Path approaches with was ability to combine these together and really be the first company to take and take ui automation and seamlessly connected together with A. P. I. Automation or api integration >>Peter What's been some of the feedback? We know you guys are more than 9000 customers strong now we've had a whole bunch of amount yesterday and today. What's been the feedback so far on the cloud elements acquisition? So >>there's a huge amount of interest. We've had very positive feedback on that lisa the combination of Ui driven automation and A. P. I. Uh Native Integrations is is key especially to the I. T. Leadership that I work with. Um some of whom have traditionally compartmentalized you ipads platform in the Ui space and legitimately think about their own internal processes as being having very little to do with the user interface right. And so combining Ui driven automation together with uh api integration really helps too pick them up where they are and show them the power of that kind of a hyper automation platform that can deliver value in a number of spaces. And you guys ever >>see the movie Blindside? All right. You know what I'm talking about with joe. Theismann gets hit from the blind side and then his career is over and and that's when people realized oh my gosh the left tackle for right handed quarterback is so important and it's subsequent drafts when somebody would pick a left tackle like a good left all the rest went and that's what's happening in in the automation business today. You guys took the lead, you you set the trend. People said wow this is actually going to be a huge market. And then now we're seeing all this gonna occur. And a lot of it from these big software companies who believe every dollar of software should go to them saying hey we can actually profit from this within our own vertical stacks. So what do you make of all the M. And A. That's going on in particular? There was one recently where private equity firm is mashing together a long time R. P. A vendor with a long time integration firm. So it looks like you guys, you know on the right >>side of history in this regard. Your thoughts. Yeah. Absolutely. I mean if you think about automation right you've got to obviously help people do their jobs better. But if you're going to automate a process and a department you needed connect the applications that they use that those people use otherwise you can't accomplish it. And where ap is fit in as is automation and ui automation has become more and more mission critical and it's become bigger and bigger part of enterprise I. T. Wants to get involved. And so enterprise gets involved and what's their stack. It's api based their technology stack is how you connect back is through api so more and more companies are seeing what you I path saw is that if you're gonna automate every process and every department for every person you need to connect to every application that they're using and that's why this is now becoming right. Three companies now just recently have done these types of acquisitions of bringing an integration platform in and combining them together are trying to combine them together. >>All mps are not created equally as we know. Some are sort of half baked lot of them. Many of them don't have decent documentation so there's sort of a spectrum there. How do you, how do you think about prioritizing? How do you think about the landscape? Do you just kind of ignore the stuff that's not well documented and eventually that will take care of itself. How should we think about there have always >>been layers of integration right. Especially working with the ICTy organizations. So you've got our native integrations would make it easy to drag and drop activities and then you've got the A. P. I. Is that we can consume with various activities. That area has really grown through the acquisition of cloud elements and then you've got that third layer where when all else fails, you go on to the user interface and interact with the application like a human does and what you see is that our our interaction with college elements really enables a great enhancement of that lower base level um which is mildly interesting to the lines of business very important. I Yeah, for sure. >>So the reason I asked that question is I was talking to one of your customers this big ASAP customers said I love you ipad. The problem I have is I got so many custom mods and so it's just you know orally documented and I can't I wanna put automation in there but I can't. So to those parts of the tech stack become like the main frame of you know what I mean? And just sort of they live there and they just keep doing their thing but there's so much innovation that pops up around it. How do you how do you see that? >>Well that's part of the agility that comes with the platform like you ipads is that you can interact with the very clean uh swagger documented restful aPI s and you can interact with SCP on their proprietary ages old A. P. I. S. Um Those are things that we've traditionally done decently well, but again through this acquisition we could do that on a grander scale um with bidirectional triggering and all the goodness that you >>solve that problem today that your customer and this is a couple of years ago, you can solve that problem with cloud elements. Is that right? >>Yeah, absolutely. The the ability to integrate too these enterprise platforms like ASAP you need multiple tools to do the job. Right. So ui automation is great but if you've customized ui significantly or other things like that then the A. P. I can be a great structure for it and other cases where um that api provides a resiliency in a in a scale to it that um opens up new processes as well to those corporate systems. Right? So the balance of being able to bring these two worlds together is where you can unlock more because you got >>east west automation >>that's very good overhead and now >>you're going north south with cloud elements is deeper. Right, >>bottom line from the VP of its point of view, the more that can be done from a machine to machine communication the better. So sure. >>What's the opportunity for the existing cloud elements customers to take advantage of here? >>Yeah, absolutely. Um We've continued to support, brought our customers over with us. Uh Part of our customer base has actually been a significant number of software customers. Uh cos S. A. P. S. One of them doc you sign gain site, you know, so household names in the world of software as well as large financial services institutions like US Bank and Capital One and american Express, all of them had that common need where um they wanted to have an api centric approach to being able to connect to customers and partners and leverage our platform to do that. So we will continue to support that extend that. But we see opportunities where again we couldn't automate everything for our customers just threw a PS And uh you know for example one of our major financial services institutions were working with wants to take um and provide a robot for their uh customers and commercial payments to be able to automatically kick off in A. P. I. And so that seamless integration where we can combine that automation with robots leveraging and kicking off a P. I. S automatically takes us further into automating those processes for those >>customers. So you guys six months right. Uh talk about how that integration api integration company better gone smoothly. But what was that like you guys are getting the knack of M and a talk about that, what you learn maybe what you would do differently to even accelerate further, How'd it go? Uh >>That's the best answer from you having been on the >>acquisition side. Um Well we how well it went is six months later, which I think is really unheard of in the technology world, we're introducing our combined offering you I Path integration service that essentially takes what cloud elements built embeds it right into automation. Cloud studio in the Ui Path products. We and uh it's been a global effort. Right? So we had the Ui Path team was based in Hyderabad Denver and Dallas and then we've got um Ui Path engineers working with that cloud elements team that are in Bucharest Bellevue and bangalore and with the miracles of zoom and uh that type of thing, never meeting anyone in person, we were able to integrate the product together and launch it here today >>six months is a fast turnaround time frame was how much of that was accelerated by the, by the fact of the global situation that we're in. >>Yeah, well you know in some respects that that helped right? Because we um um we didn't have to waste time traveling and we could hop on zoom calls instantly. We spent a lot of time even over zoom making sure there was a cultural fit. You I path has a, you know, not only the humble, bold and type of values but it's a very collaborative environment, very open and collaborative environment as Brent can attest to. And that collaboration, I think in that spirit of collaboration really helped us feel welcome and move quickly to pull this together. And also >>the necessity is the mother of innovation right. Uh you ipad traditionally being popular in the CFOs organization were becoming the C I O s best friend and the timing was right to introduce this kind of capability to combine with what we traditionally do well and really move into their picking up like I said the customer where they are and leading them into that fully end to end automation capability and this was integral. So it wasn't time to kick the tires but to get moving >>and my right, there's a governance play here as well because I. T. Is kind of generally responsible for governance if you make it easier for them to whatever governance systems they're using >>governance privacy >>security that now you can just connect. They don't have to rip and replace. Is there an angle there? >>Sure, yeah. So nothing is more important than I. T. Than than control and governments and change management and half of the uh conversations we're having out there on the floor are around that right um uh ensuring that all of the good governance is in place um and we have a lot of the uh integrations and frameworks necessary to help that through your devops pipeline and doing proper ci cd and test automation um and you know introducing that integration layer in addition to what we already have just helps all of that to uh move more smoothly and bring more value to our customers. >>Mark talk to me about some of the feedback from customers that you mentioned, doc Watson. S A P probably I imagine joint customers with you. I path now there you're working together, what's the what's in it for them? >>Yeah, no the feedback has been tremendous. Right, so um api automation is not new to you. I path but customers have been asking for more capability. So one of them is in that governance area that we were just talking about, right, the ability to create connections centrally enable them disable them. Right? You got mission critical corporate applications. You want to be able to make sure that those applications are being controlled and monitored. Right? So that was one aspect. And by bringing this as a cloud based service, we can accomplish that. Um the other area is that this eventing capability, the ability to kick off workflows and processes based on changes to corporate applications, a new employees added in workday. I want to kick off a process to onboard that new employee and that triggered eventing service has been really well received and then um yeah, so that I'd say with the ability to also create new connections more simply was the third big factor. Uh we created a standardized authentication service. So no matter where you are in the UI Path product line, you get a consistent way to create a new connection, whether it's a personal connection by a business user too, you know, google docs or Microsoft office or your C O E R I T. Creating a connection to uh an important corporate system. >>How about the partner? I know you guys had partner day here leading into forward for they must be stoked about this gives you a lever to even add new partners. What was those >>conversations like? Yeah, yeah, no, absolutely. The partners are excited about those same features but um they're also excited about something in our roadmap which we expect to be previewing early next year and that's a connector builder. So the ability for partners to uh more quickly than ever create their own connectors. That'll work just like first party connectors that we ui Path build and add them into catalogs, share them in the market place. So there's new revenue opportunities, new opportunities for partners to create reusable assets that they can leverage and yeah so um lots of things, lots of work to continue to do, right? It's only been six months and uh but that's that's gonna be a big initiative going forward. >>So integration service as you mentioned, announced at this conference, we know that that's the first step obviously accomplished as we also talked about very quickly in a six month time period. But what does the future hold for api automation and integration service? >>So um one of the key areas just continue to expose the integration service um more broadly in the Ui Path product portfolio. Now that we have this service, more Ui Path products will be able to leverage it. Right? We're starting off with studio and orchestrator but that we can all use and share that common common capability. Um The other is to make access to complex business systems easier. So you think about it right. A uh to get a purchase order from net suite might take five or six api calls to do. Well, a citizen developer doesn't know what those five or six things you have to do. So we'll be creating these business activities or just get me open purchase orders that will work seamlessly in the studio product. And behind the scenes. Well, chain together those 56 aPI calls to make that a simple process. Right? So taking the integration service and making it even more powerful tool for that citizen developer than nontechnical user as well. So that's >>development work you're going to do. >>That's what we're gonna do as well as enable partners to do as well. So it's a key part of our road map over time. Because >>yeah I mean the partner pieces key because when net suite changes how it you're creating that abstraction layer. So but that's value add for the partners. >>Absolutely. And they have that domain expertise, right. They can create assets, leveraging the UI path automation capabilities but also bring their knowledge about A. S. A. P. Or workday and those oracle ebs and those core business systems and then combine that together into assets that enhance integration service that they build and I can I can share with their customers and share with our market >>because the work workday developer is going to know about that well ahead of time. No, >>it's coming and they know better than we do. Right. That's their business. That's what they know really well. >>Nice nice value at opportunity, peter >>One of the things that you iPad has been known for is its being very and I've said this on the program the last two days, that's being a good use case for land and expand. You guys have 70% of revenue that comes from existing customers. Talk to me about the cloud elements acquisition as a facilitator of because you kind of mentioned, you know, we're used to be really in bed with the cfos now we're going to see us and we've heard from a number of your customers where they started in finance and it's now Enterprise White, how is this going to help facilitate that? Even more? >>It really helps, you know, touching on what Mark just mentioned about the citizen developer, right, just as one of many examples, the empowerment of end users to automate things for themselves um is critical to that land and expand um successes that we've been seeing and where from an I. T standpoint, the frustration with the citizen developer is, you know, maybe what they're building isn't so top notch right? It works for themselves. What we can't replicate that, but put making it easy to make api integration part of what they do in studio X is so key to enhancing also the reusability of what's coming out of there. So that c uh C O E S can replicate that across teams are globally within their organization and that's part of land and expand because you may find something that's valuable in one line of business replicates easily into another line of business if the tool set is in place >>pretty powerful model lisa >>it is guys. Thanks so much for joining us today, talking about the club elements acquisition, what you're uh, doing with integration service, What's to come the opportunities in it for both sides and your partners? We appreciate your time. >>Great. Thank you. Thank you very much. I >>appreciate it. Thank you for >>David Want I'm lisa martin. You're watching the cube live in las Vegas at the bellagio Ui Path forward for stick around. We'll be right back. Yeah. Mhm. Mhm mm.
SUMMARY :
We're gonna be talking about you I Path integration suite, Great to hear. Talk to us about why you chose to be acquired in the automation world and you know these these have been a society as the marine We know you guys are more than 9000 customers strong now we've had a whole bunch And you guys ever So what do you make of all the M. api so more and more companies are seeing what you I path saw is that if How do you think about the landscape? and interact with the application like a human does and what you see is that our our of the tech stack become like the main frame of you know what I Well that's part of the agility that comes with the platform like you ipads is that you can interact you can solve that problem with cloud elements. So the balance of being able to bring these two worlds together is you're going north south with cloud elements is deeper. bottom line from the VP of its point of view, the more that can be done from a machine to Uh cos S. A. P. S. One of them doc you sign the knack of M and a talk about that, what you learn maybe what you I Path integration service that essentially takes what cloud elements built embeds it by the fact of the global situation that we're in. Yeah, well you know in some respects that that helped right? Uh you ipad and my right, there's a governance play here as well because I. T. Is kind of generally responsible for governance if you make it easier security that now you can just connect. and half of the uh conversations we're having out there on the floor are around that right um Mark talk to me about some of the feedback from customers that you mentioned, doc Watson. So no matter where you are in the UI Path product line, you get a consistent way I know you guys had partner day here leading into forward So the ability for partners to uh more quickly than So integration service as you mentioned, announced at this conference, we know that that's the first step So you think about it right. So it's a key part of So but that's value add for the partners. service that they build and I can I can share with their customers and share with our market because the work workday developer is going to know about that well ahead of time. it's coming and they know better than we do. One of the things that you iPad has been known for is its being very and I've said this on the program the last two days, and that's part of land and expand because you may find something that's valuable in one line of business replicates what you're uh, doing with integration service, What's to come the opportunities in it for both Thank you very much. Thank you for David Want I'm lisa martin.
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Tom Gillis, VMware | VMworld 2021
>>mm Welcome back to the huge covered cubes coverage of VM world 2021. The virtual edition tom gillis is back on the cube. He's in S. V. P at VM ware and the GM of network and advanced security at the company. Tom. Always a pleasure to see you. Thanks for coming on. >>Hey, thanks for having me. It's always a pleasure to be back here on the cube. I really enjoyed it. We've we've been, we've known each other for I don't want to count how many years but more than a few. Uh it's always an interesting conversation. >>We've had a lot of face to face interactions a couple years in a row were virtual. We'll be back together at some point. I'm >>calling. Yeah. Yeah. I'm actually on the road with customers. So it's starting to happen. >>Yeah, us too. We did uh we did public sector summit in D. C. This week. I'm heading out to Vegas next week for a show. So it is, it is starting to happen. So just a matter of time hey, >>when I start >>with with your your scope of responsibilities? Network and advanced security, you're kind of putting those two areas together. Very important. It makes sense synergistically. But how are you guys thinking about that? Maybe you could add some color. >>Yeah, sure thing. Um So network in advance security means all things security of Myanmar. So it's carbon black with our endpoint product, NsX in the data center. It's our tons of service mesh for cloud native applications to all the security stuff that goes into our anywhere workspace. Um and you know, I think you you probably get the message here dave at the end where there's three big waves that we're trying to ride. You know, multi cloud computing platform, which is our hallmark, is what we're known for running out across every cloud. It's the cloud native applications, building tools for new modern apps. And then really kind of the future of both networking and compute is being defined by this anywhere workspace. Our mission is to put security and connectivity into all of that. That makes it work. That makes it work well at scale. And so it made sense to put all that under one roof. Uh, I'm the guy and that's what we're doing. >>Yeah, you talk about that anywhere workspace, which, You know, it was always kind of a great vision and then it was somewhat aspirational, but then it became not only reality, but a mandate over the past 15, 18 months and that has that ripples through two implications on networking, even getting flatter and the security implications. So, all those things are coming together >>there really are. You know, I think we can't under estimate the profound impact that covid and the kind of work from home has had on our lives on society were still turning through what those implications are, but in networking it's cause for a fundamental rethink and for 20 years I've been doing networking and for 20 years we had this notion of a demarcation point networks defined as something that it was a DMZ, right? And, and on one side of that, TMZ was a dirty, untrusted internet, who would scary the other side is the clean, blissful corporate network where you know, only butterflies and unicorns exist and you know, wherever you were in the world, your traffic would be back hauled through that dems so that it could be scrubbed. And if you ever used tools like we're using now zoom, you know, you realize that that experience of back hauling traffic through traditional VPN is pretty simple. And so, so across the industry, enterprises are saying, you know what, there's got to be a different way instead of moving by traffic to the security services. What if I turn that upside down, That's what we're doing a VM ware, which we're taking those security services that we live in the DFc. We're doing what VM ware does well, which is defined them as software and then running them in hundreds of points of presence around the world. Hundreds. And so we effectively moved the security close to the users wherever the users are instead of the other way around. And that's the way we think we'll be building networks in a post pandemic world. >>Yeah. And that talks to the trend of this hyper decentralized system that's basically everywhere now, you know, even even out to the edge. And so, so you now have this, you know, zero trust used to be a buzzword and, and again, it's become this, this mandate. You guys actually did some, I think it was you who did some really interesting research post the solar winds hack on. Talking about things like island hopping and explaining how malware was getting in self forming and some of the insidious ways in which the, the adversaries and, and that is a function of a lot of things. The adversaries are obviously highly capable. Uh, they're motivated because it's lucrative and, and, and they keep upping the game on the good guys if you will. >>Yeah, it's nuts. But, and so so think about the impact that ransomware has had. Uh, and also to your point about the anywhere workspace. I'm right now in boston, I could, you know, tomorrow I'm going to be in texas and the day after that I'll be in san Francisco. So I'm popping all over the place, you know, we're back meeting customer's going wherever they want us to be. But wherever I am, I'm able to connect and, and my traffic needs to be protected. Now in boston it was a ransomware attack against the ferry. We're not talking about a bank or like a sophisticated, you know, sort of organization, it's a ferry that moves people from Cape Cod to an island across the water and it disrupted that ferry for days. So so at VM ware, we're measuring all the inner workings of what's happening in the data center and we collect more than eight trillion with a T eight trillion events per week and that allows us to be able to identify these anomalies like ransomware. And so just in the last 90 days we've stopped more than a million ransomware attacks. 1.1 million ransomware attacks that we stopped within six seconds, More than a million ransomware attacks in the last 90 days. To give you a sense of the magnitude of this problem it's everywhere. And you you reference Zero Trust. Zero Trust is a concept, it's a philosophy, is not a product by Zero Trust. You implement a Zero Trust model which says in a deep perimeter Rised world in a world where people like tom or hopscotch on all over the place and Dave's in boston and you know, I could be in san Francisco, we have to make the assumption that somehow some way, you know, our machine or a user has been compromised. And so you wrap each little piece of the infrastructure, each little piece of the application, you wrap it a protective armor to assume that everything around it is hostile and that's how we stop somewhere. That's how we can keep your infrastructure safe. And this is something you have and where does very uniquely because of the intrinsic attributes of our platform, our virtualization platform and our multi cloud platform. >>Yeah. You talk about the ferry anybody who's ever taken the ferry to Nantucket knows it's a pretty low tech operation and when that ferry goes down, it's one thing, it's, it's whether you can kind of understand that but people's lives get ruined, their vacations get ruined, they can't get off the island. Commerce comes to a grinding halt. It's extremely, extremely expensive really. >>For days, >>for days it was >>Like it wasn't a 20 minute outage. You know, it was like a fairy is not running for a couple things like that. That is a huge, huge, very high impact thing. And the fact that it was so pedestrian, like they don't have billions of dollars in the bank and you know, sort of super secret defense technologies, it's a ferry, you know, right, come on rental cars everywhere. So everywhere >>talk about your software approach two networking and security a little bit more. How that changes the experience for organizations generally, and developers specifically. >>So in a multi cloud world you can't always count on having physical infrastructure that you can touch. And in fact, do you really want to touch that stuff. And so our idea is that if you think about infrastructure, its job is to support the needs of the application. And so for example, in Kubernetes, we have the ability for developers say, look, here's my cool new application and this peace talks to this peace talks to this piece and nothing else. And so we can implement those types of controls using what we call a service smash, which allows us to, to make those connections smooth and seamless across clouds. Some of it could run on amazon, some of them could be running in a private cloud infrastructure. Some of them could be running in the traditional VM and in fact many complication applications do just that. So we can facilitate that communication back and forth and we have the ability to look for stuff that you just never happened because when you understand how an application is supposed to work, it allows you to spot, hey, wait a minute. That's not right. That's that, that's that, that don't like someone trying to manipulate the ferry system rather than somebody trying to board the ferry and get off. And I think, you know, there's a really interesting observation here, which is when you, when you, if you can see the inner workings of an application, like it looks for example, let's think about a mortgage payment application filed, a mortgage payment application and the Attackers has stolen a credential. They're going to get in. It's really hard to figure out a friend from foe. But once they get into mortgage payment application, I'm not going to pay my mortgage right? They do crazy anomalous things like wildly anomalous things. If you can see them, you can stop them and we have the unique ability to see them because we put the telemetry, the observation into our virtualization platform that runs on every cloud that runs wherever the user is. Right and pulling all that together into a central issue. That's something I think the N word to do uniquely and this is why we're having such success insecurity. >>I wonder if you could talk a little bit more about securing containers. You just sort of reference that but containers are moving target just a few short years ago, containers are ephemeral. You weren't you weren't gonna be running you know, your mission critical or business critical postgres in containers. But now that's changed. You're getting state. But so that's a moving target. How are you thinking about handling? You know, those kind of changes And what about the architecture allows you to be kind of future proof if you will. Sorry to use that >>word? No, no, it's a good question. So you've articulated right. So if you think about a traditional application, we used to always talk about three tiered web app, there's a web server is app server and the database a little more complicated than that. But you can usually go in and you could touch those three tiers. This box is the web tier. This box step here. This big box, is that it. And so security controls were built around this idea that you could you could wrap that relatively easily. We talk about a container based application And all these microservices. It's not three tiers anymore. It's 300 tears or maybe 3000 tears. Bitty little things, these little services that turn up and turn down and they all have a piece and so our view is that the A P is the new endpoint, the ap is where the action happens and not just the ap that faces the internet but all the inner workings, all the internal apps. And so because we put that application together, because we help the developers create those apaches, we have a unique understanding of how those apps are used and we're just introducing the ability to provide visibility around how are these epi is being used and then we can do anomaly detection and we are seeing a whole new set of attacks that are using legitimate apiece. They're not appease that are that are that are broken or malformed but the Attackers are finding ways to extract data from an API that maybe they shouldn't remember some of the facebook stuff where they had these Attackers were profiling users and there's no limit to how they could profile users and they were just expecting huge amounts of data that's an ap breach. These are the kind of problems that we can solve for our customers with these built in Tan Xue uh service mesh and api security controls >>you think about all these trends we're talking about and I want to ask you about how it's affected go to market because kind of the old days you had box sellers, they, you know, they would integrate VM ware or whatever. They you might have a specialist that was really good at ST for instance, S. A. P. And they were good partners. So that kind of value add developers have become a new channel for you and I wonder how you think about that, how they're now influencing their go to market. >>Yeah, that's that's a clear trend in the industry are absolutely right on, we call it moving left, right. So it's getting earlier and earlier in the development process. And so one of the things that renouncing at the show here is that the tons of community edition that makes it super easy for developers without putting down a credit card or making a big expensive commitment. They can start using these tools and get productive right away. And so so on top of that we build security controls that understand the total life cycle. So as the developers writing code, we're checking that code to make sure is this compliant doesn't have any known vulnerabilities. This is gonna break something. If you if you put it out there and then when you go to hit commit and say, all right, I'm ready to go, we've already done the homework to make sure the code is clean, we'll put it in the right place. So placing it into production in a way that is wrapped with the security that it needs the guardrails are in place and now we have this this X ray vision, this ability to look at the inner workings and understand the Ap is what's happening inside the application and identify anomalies. And lastly, once the thing is up and running we actually have the ability to measure we called posture and make sure that it doesn't drift from its intended configuration. All of this is done across every cloud. So this is, this is how we think we have a kind of new and very holistic approach to securing collaborative applications. >>Tom I want to ask you about telco transformation, I mean N F V kind of just barely scratched the surface in my view and now we're seeing with the edge and five G and the cloud there's some oh ransom. Really interesting opportunities going on in in telco say what you want about telcos? Yeah, there, you know the connectivity and Okay, fine. But one thing you say about the telco networks as they work, you know, and it actually did a great job during the pandemic. They had to pivot to landlines and and so when it comes to reliability and rock solid nous, those guys kinda kinda get it but they've got to be more flexible. So you see those two worlds colliding what's going on in in telco and and where does VM ware play? >>Yeah, sure thing. A huge amount of emphasis on telco, we've won some very large telco deals. Five G is not just a faster version of four G. 5G is a new take on what an edge network can do. It has the ability to run extremely high performance network connections and the ability to control the performance. So this idea of what's called network slicing, so you can guarantee a certain amount of latency or a certain amount of bandwidth. So combine that with this explosion of IOT devices. We're going to have an infinite number of devices. Every device you can imagine has a computer in it and it's spitting off giant amounts of data. We keep coming up with new and interesting ways to analyze that data to do things like, you know, control the self driving car to do things like create a customized retail experience to do things like help guide research for an oil company on the oil platform. Okay. These are all examples of edge computing. Now, the infrastructure that you need to protect those workloads is what we're defining and software. And putting it everywhere, Not just in the traditional data center where you might be in 1020 locations, we're talking about hundreds going into thousands of locations. And this is what the industry is calling sassy or secure access services. Edge. So where's your firewall? Your web proxy the controls that you need to protect those apps, where do they live? They're gonna live in the telco infrastructure And that stuff all runs on X 86 servers. So if you put in the data center services into this distributed architecture and you've got tons and tons of data that's being produced produced locally. Why would you want to remove the compute there and we think you can and will and this is this is why VM ware with our telco partners is uniquely suited to build the groundwork for this edge computing infrastructure. And I think edge computing is going to be the next big wave. So we went from private clouds to public clouds and public cloud was built on, you know, the scale out fault tolerant model as we move to edge computing, edge computing is going to be around applications that need huge amounts of data, very low latency and they're highly distributed. So they're going to run not in 10 or 20 locations but in 1000 more. And we can do all of this with our tons of kubernetes with our virtual networking infrastructure and our anywhere workspace and the secure access services, Edge, the pops that we're building and I think VM ware is probably one of the few if any companies that have all of these pieces that we can put together to make the Edge actually work. >>Yeah, exciting times and and all that data ai influencing at the edge of new processor models and you guys are thinking about all that stuff tom we got to leave it there. Thanks so much for coming back in the queue. Great conversation. >>Always a pleasure. Thanks very much. David, Take care >>Alright you to keep it right there, everybody. This is Dave Volonte. For the Cubes coverage of VM World 2021. The virtual edition will be right back.
SUMMARY :
mm Welcome back to the huge covered cubes coverage of VM world 2021. It's always a pleasure to be back here on the cube. We've had a lot of face to face interactions a couple years in a row were virtual. So it's starting to happen. So it is, it is starting to happen. But how are you guys thinking about that? Um and you know, I think you you probably get the message here dave at Yeah, you talk about that anywhere workspace, which, You know, it was always kind of a great And so, so across the industry, enterprises are saying, you know what, there's got to be a different way instead so you now have this, you know, zero trust used to be a buzzword and, on all over the place and Dave's in boston and you know, I could be in san Francisco, we have to operation and when that ferry goes down, it's one thing, it's, it's whether you can kind of dollars in the bank and you know, sort of super secret defense technologies, How that changes the experience for organizations generally, and developers specifically. the ability to look for stuff that you just never happened because when you understand how an application You weren't you weren't gonna be running you know, And so security controls were built around this idea that you could kind of the old days you had box sellers, they, you know, they would integrate VM ware or whatever. And so one of the things that renouncing at the show here is that the tons of community edition that makes it super easy But one thing you say about the telco networks as they work, you know, Now, the infrastructure that you need to protect those workloads is what we're new processor models and you guys are thinking about all that stuff tom we got to leave it Always a pleasure. Alright you to keep it right there, everybody.
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Accelerating Transformation for Greater Business Outcomes
>>Welcome back to our coverage of HBs. Green Lake announcement's gonna talk about transformation acceleration, who doesn't wanna go faster as they're transforming, right? Everybody is transforming and they want to go as fast as possible to get time to value keith White is here, he's the senior vice president and general manager of Green Lakes commercial business at HP. Michelle LaU is Green Lake cloud services solutions at HP gents. Welcome. Good to see you >>awesome to be here. Thanks so much. Great to be here. >>Dave keith, we've we've been talking virtually for >>quite some time now. >>Q three earnings beaten raise uh focusing on, you know, some real momentum uh want to understand where it's coming from. A r I've said it's headed toward a billion, I think you said 700 million was where you were at last quarter, 1100 customers, orders were up 46%,, Last quarter revenue up over 30%. Where's the momentum >>coming from? No, it's fantastic. And I think what you're seeing is, you know, the world is hybrid. So in essence customers are looking for that solution that says, hey, mere my public cloud with my on premise scenario and give me that hybrid solution and we're just seeing just tremendous momentum and interest across a variety of workloads across a variety of vertical solutions and frankly we're seeing customers basically uh lean in on really running their business on HP. Green Lake, so you know, we had a pretty exciting announcement with the s a a couple weeks back, $2 billion deal, um but again, this shows the value of what Green Lake and the on prem requirements are high level of security, high level of capability? They're doing analytics on all the data that's out there. I mean this is the number one intelligence agency in the world. Right? So super excited about that and it just validates our strategy and validates where we're going. Um the other thing that's really exciting is we're seeing a lot of customers with this whole S. A. P migration, right? Um so ongc, one of the largest oil and gas companies in India, I want to say it's one of the top five S. A. P. Implementations in the world has chosen. Green Lake is their opportunity as well, huge retailers like wal wars. Uh so worldwide we're seeing tremendous momentum. >>That's great. Congratulations on the momentum. I know you're not done uh Michelle new role for you. Awesome. Um when we covered uh discover this year in the cube, we talked about sort of new workload solutions that you guys had. Uh S. A. P. As keith was just mentioning Ml Ops V. D. I. A number of of those workloads that you were really focused on the solution side. How's that going? Give us the update there? >>No, it's coming along really well. I mean you highlighted some of the big ones there. I mean the way we are thinking about Green Lake. Right? I mean, you know, we talked about the great momentum that we've had. The question is why are we having that right? Why are missing that momentum in the market? And I think I'll kind of call out a few features of the green platform that's really making it attractive to customers. Right? What is the experience? What we're trying to do is make it a very, very seamless experience for them? Right. Quick provisioning, easy to manage, easy to monitor, kind of an automated solution. Right? So that's kind of a key element of what we're trying to offer performances. Another one. Right? I mean, the end of the day, what we're doing is we are building out our infrastructure stack and the software stack in such a way that is optimized for the performance. Right? I mean, if you take data for example, it's called the right elements to make sure that the analytics can be done in a machine learning algorithms can be run. So those are like, you know, some of the performance, I think it's a great experience is a big factor. Tco right? I mean customers are very, very focused on their cost base. Right? Especially as they are starting to run up the bills in public cloud. They're like, man, this is expensive, I need to start thinking about costs here because costs catch up pretty fast. So that's kind of another element that people are really focused on and I would say the last one being choice. Right? I mean we provide this platform which is open. Alright. So customers can use it if they want to migrate off it, they can migrate off it. We're not locking them in. So those are some of the value propositions that are really resonating in the marketplace and you're seeing that in the numbers that we just talked about. >>So keep speaking of transformation you guys are undergoing obviously a transformation your your cloud company now. Okay, so part of that is the ecosystem. The partners talk about your strategy in that regard, why you're so excited about welcoming the partners into this old Green Lake world, >>you bet and you know I'm a big fan of one plus one equals three. My seven year old daughter tells me that doesn't actually add up correctly but at the same time it's so true with what we're doing and as official just said an open platform that allows partners to really plug in so that we can leverage the power of S. A. P. Or the power of Nutanix. So the power of Citrix at the same time, all of these are solutions that require, you know deep system integration and capabilities to really be customized for that customers environment. So whether that's infosys or accenture or we pro you know that we need we need those partners as well along with our own advisory and professional services to help customers. But at the same time, you know we talked about the fact that this is really about bringing that cloud experience to the on prem world might be a data center but we're seeing a lot of customers get out of the data center management business and move into a Coehlo. And so the fact that we can partner with the ECU annexes and the Cyrus ones of the world really enable a whole new environment so that customers again can run their business and not get caught up with keeping the lights on and managing power and those types of things. And then finally I'll say, look, the channel itself is actually migrating to offer more services to their customers managed service providers, telcos, distance and resellers and now what we're providing them is that platform with which to offer their own manage services to customers in a much more cost effective cloud experience way with all the benefits of being on prem secure latency app integration and that sort of thing. So it's exciting to see the ecosystem really gate Gardner the momentum and really partner with us closely >>follow up on the partner question if I could. So partner services are part of Green Lake. It's a journey, not everything all at once. Uh but so it's essentially as simple as saying, okay, I want that service, that's my choice. Uh you've given them optionality and it's ideally as seamless as it is in HP services, that the direction that you're >>going. That's right, yeah. So the set that api set that Stalin team are building are basically saying, hey, leverage our cost analytics capabilities, leverage our capacity management, leverage the interface so that you can plug into that single control plane. And so they're making it super simple for our partner ecosystem to do that. And what I think is really important is that if you are a partner, you want to basically offer choice to the customer and if the customer decides, hey, I want to use um red hats open shift for the container platform versus rs morale offering, then they can get just as good of a first class offering with respect to that. Someone wants to use Citrix or Nutanix or VM ware for their video solution. They have that choice. And so we want to make sure we're offering customer choice for what's best for their situation, but also making sure that it's fully integrated with what we do. God thank >>You. So we see more software content of the show. I wonder if you could. I mean certainly as morale is a big piece of that. I talked earlier about margins hit record for HPE. Almost 35% gross margins. This course of software is gonna obviously push that further along um, Lighthouses, another one. How should we think about the direction that you're going >>software. Absolutely. So if you think about what we are building out here is a solution, right? This is solution that's very tightly integrated between the infrastructure stack and the soft and this software that enables it. So really there three or four components to the solution day. Right. So think about Lighthouse, which is an infrastructure stack that is optimized for what's going to run on that. Right? If it's a general purpose compute it will the infrastructure will look different. If it's a storage intensive workload, it will look different. If it's a machine learning workloads will look different. Right? So that's kind of the first component and just optimizing it for what's going to run on it. Second is, um, what we call the Green light platform, which is all about managing and orchestrating it. And what we want to do is we want to have a completely automated experience right from from the way you provisioned it to the way you run the workloads to the way you manage it, to the way you monitor it to the way partners link into it. Right to the way in the software vendors kind of sit on top of that. Right. And then we talked about escrow as well as the engine that runs it right from a container platform perspective or we spend some time talking about unified analytics today. Those are the types of data integration that power Green Lake and the last piece of software I would say is as we kind of think about the ecosystem that runs on top of Green Lake, whether it's our software or third party software. Right? They all have a place equal place on top of the green light platform. And we are very focused on building on the ecosystem. Right? So as a customer or an enterprise who wants to use you should have the choice to run you know 40 50 102 105 100 different software packages on top of Green Lake. And it should be all an automated fashion. But we have tested that in advance. There's there's commercials behind that. It becomes a very very self service provision, seamless experience from the customer's perspective. >>Great. Thank you. So keep 2020 was sort of like sometimes called the force marched to digital right? And some some customers they were already there. Uh so there's a majority now that we've been through this awful year and change, customers are kind of rethinking their digital strategies and their transformations that there can be a little bit more planned fel now you know the world didn't end and and you know I. T. Budgets kind of stabilized a bit actually, you know did better than perhaps we thought. So where are we in terms of transformations? What's the business angle? What are you seeing out there? >>Yeah. I mean customers found a lot of holes that they had in their environment because of the pandemic. I think customers are also seeing opportunities to grow pretty aggressively. You know we just announced Patrick terminals, one of the largest shipping companies in south pack and you know that whole shipping craziness that's going on right now they needed a new digital transformation in order to really make sure they could orchestrate their container ships effectively. Even we talked about Woolworth's there now, changing how they deal with their suppliers because of the Green Lake platform that they have. And so what you're seeing is, hey, you know, first phase of digital transformation public cloud was an interesting scenario. Now they're being able to be planned for like you said and say, where's the best place for me to run this for the latency required with that data, for the choice that we have from an I. S. V. Standpoint, you know, for the on prem capabilities of what we're trying to do from a security standpoint etcetera. So the nice thing is we've seen it move from, you know, hey, we're just trying to get the basic things modernized into truly modernizing data centers, monetizing the data that I have and continuing to transform that environment for their customers, partners, employees and products >>kind of a left field question a bit off topic, but certainly related edge. You guys talk about edge a lot. Hybrid is clear. I think in people's minds you've got an on prem you're connecting to a cloud maybe across clouds? Is edge an extension of hybrid or is it today sort of a bespoke opportunity that maybe we'll come back to this new version of cloud, What's happening at the edge >>that you see? Yeah. So let me just uh I mean think of the edge as it's a continuum. Right? The way at least we think about it, it's not data center or the edge. Right. Think of it as, you know, there's a data center, uh there's a hyper scale data center, there's a data center, there's a closet somewhere, right? There's a cola opportunity, Right? And then you're running something in the store. Right? So let's take the example of a retailer. They're running something in the store and what are they running? They're running? Point of service applications or they're running IOT devices. Right. And at some point they have to connect back into the cloud. Right. So we actually have, you know, something to find van capabilities that connect, you know, uh you know, the Edge devices or edge analytics back into the cloud, we actually have a small form factor kubernetes um operating system that runs on the edge. Right. So we think of all of that as kind of a distributed environment in which Edge is one place where the application runs and where the data sites but it needs to be connected back and so we provide the connectivity back, we provide the mechanism by which we run it and then there's a security model, especially around sassy that is emerging on securing that. So that's kind of how we think about it as part of the overall distributed architecture that we are building and that's where the world will be >>another node in the cloud. >>Another note in the distributed world. Exactly >>yeah. I think the other thing to think about with the edges that this is where the majority of your data is actually getting created. Right? You talked about IOT devices, you know, you'll hear from Zen's Act and what they're doing with respect to autonomous driving with vehicles. You know, we talk about folks like ab that are building the factory of the future and robotics as a service in order to be able to really make sure that that precision happens at that at that point. So a ton of data is coming from that. And so again, how do you analyze that? How do you monetize that? How do you make decisions off of it? And it's it's an exciting place for us. So it's great to have all the connectivity we talked >>about last question, maybe both could address it. Uh we've we we used to see this cadence of of products often times in the form of boxes come out from HP and HP. Now we're seeing a cadence of services, we're seeing more capabilities across this, this this this green lake uh state that you guys are building out. What should we expect in the future? What are the kinds of things that we should evaluate you on? >>Well, I'll start and then maybe you can jump in but you know, the reality is we are becoming much deeper partners with our customers right there looking to us to say help me run my data center, help me improve my data and analytics. Help me at the edge so that I can have the most effective scenario. So what you're seeing from us is this flip from hardware provider into deep partnerships with that with the open platform. I'd say the second thing that we're doing is we're helping them fuel that digital transformation because again, they're looking for that hybrid solution. And so now they're saying, hey HP come and showcase all the experience you have from point next from your advisor and professional services and help me understand what other customers are doing so that I can implement that faster, better, cheaper, easier, etcetera. And then from a product standpoint, kind of a ton of great things. >>That's exactly right. I mean uh we are taking a very, very focused customer back view as we are looking at the future of Green Lake. Right. And exactly the way kids said, right, I mean it's all about solving customer problems for us. Some customer problems are still in the data center, some of them are in close, some customer problems are in the edge. So they're all uh fair game for us as we think about, you know, what we are going to be building out and do your point earlier. Dave it's not about, you know, a server or storage is the institutions right. And the solutions have to have integrated hardware, integrated software, staff, integrated services. Right. There are partners who sell that, who service that and all that entire experience from a customer perspective has to be a seamless. Right? And it's just in our cloud platform, we kind of help the customer run it and manage it and we give them kind of the best performance at the lowest cost, which is what they're looking for. So that's kind of what you'll see us. You'll see more of a cadence of these services can come out, but it's all going in that direction in helping customers with new solutions. >>A lot of customer problems out there, which your opportunities and you know, generally the hyper scale as they are good at solutions. They don't, you know, there's not a lot of solution folks like that. That's a that's a wonderful opportunity for you to build on on top of that huge gift, that Capex gift >>at the hyper scholars have given us all. That's right. And we're seeing the momentum happen. So it's exciting. That's cool guys. Hey, thanks a lot for coming to the cube. Yeah, Yeah. All right, >>okay. And thank you for watching keep it right there more action from HP. Es Green Lake announcements, you're watching the cube. Mm. Mm
SUMMARY :
Good to see you awesome to be here. it's headed toward a billion, I think you said 700 million was where you were at last quarter, 1100 customers, Um the other thing that's really exciting is we're seeing a lot of customers with this whole S. A. P migration, in the cube, we talked about sort of new workload solutions that you guys had. I mean the way we are thinking about Green Lake. So keep speaking of transformation you guys are undergoing obviously a transformation your your cloud company now. And so the fact that we can partner with the ECU annexes and the Cyrus ones of the world really as seamless as it is in HP services, that the direction that you're leverage the interface so that you can plug into that single control plane. I wonder if you could. it to the way you run the workloads to the way you manage it, to the way you monitor it to the way partners strategies and their transformations that there can be a little bit more planned fel now you know the world terminals, one of the largest shipping companies in south pack and you I think in people's minds you've got an it as part of the overall distributed architecture that we are building and that's where the world will be Another note in the distributed world. So it's great to have all the connectivity we talked What are the kinds of things that we should evaluate And so now they're saying, hey HP come and showcase all the experience you have from point next fair game for us as we think about, you know, what we are going to be building out and do your point earlier. They don't, you know, there's not a lot of solution folks like that. at the hyper scholars have given us all. And thank you for watching keep it right there more action from HP.
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Protect Your Data & Recover from Cyberthreats & Ransomware in Minutes
>>Welcome back to the cubes coverage of H P S. Green Lake announcement. We've been following Green Lake and the cadence of announcements making. Now we're gonna talk about ransomware, ransomware become a household term. But what people really don't understand is that virtually any bad actor can become a ransomware criminal by going on the dark web hiring a ransomware as a service sticking, putting a stick into a server and taking a piece of the action and that is a really insidious threat. Uh, the adversaries are extremely capable, so we're going to dig into that with Omar assad, who's the storage platform, lead cloud data services at H P E and Deepak verma vice president of product Zito, which is now an H P E company Gentlemen, welcome to the cube. Good to see you. Thank you. >>Thank you. Welcome. Pleasure to be here. So >>over you heard my little narrative upfront. How does the Xarelto acquisition fit into that discourse? >>Thank you. Dave first of all, we're extremely excited to welcome Sir toe into the HP family. Uh, the acquisition of Puerto expands the Green Lake offerings from H P E uh, into the data protection as a service and ransomware protection as a service capabilities and it at the same time accelerates the transformation that the HP storage businesses going through as it transforms itself into more of a cloud native business, which sort of follows on from the May 4th announcements that you helped us cover. Uh, this enables the HP sales teams to now expand the data protection perimeter and to start offering data protection as a service and ransomware as a service with the best in class technologies uh, from a protection site as well as from ransomware recovery side of the house. And so we're all the way down already trying to integrate uh, you know, the little offerings as part of the Green lake offerings and extending support through our services organization. And the more of these announcements are gonna roll out later in the month. >>And I think that's what you want to see from it as a service offering. You want to see a fast cadence of new services that are not a box by a box that are applying. No, it's services that you want to access. So let's, let's talk about before we get into the tech, can we talk about how you're helping customers deal with ransomware? Maybe some of the use cases that you're seeing. >>First of all, extremely excited to be part of the HP family now. Um, Quick history and that we've been around for about 11 years. We've had about 9000 plus customers and they all benefit from essentially the same technology that we invented 11 years ago. First and foremost, one of the use cases has been continuous data protection. So were built on the CdP platform, which means extremely low RTO S and R P O S for recovery. I'll give you example there um, United Airlines is an application that cost them $1 million dollars for every hour that they're down. They use traditional approaches. That would be a lot of loss with Zito, we have that down two seconds of loss in case and the application goes down. So that's kind of core and fundamental to our plaque. The second uh critical use case that for us has been simplicity. A lot of customers have said we make the difficult, simple. So DRS is a complex uh process. Um, give you an example there. Hcea Healthcare Consolidated four different disaster recovery platforms into a single platform in Puerto and saved about $10 million dollars a year. So it's making that operations of having disaster recovery process is much simpler. Um the third kind of critical use case for us as uh, the environment has evolved as the landscape has involved has been around hybrid cloud. So being able to take customers to the platforms that they want to go to that's critical for us And for our customers an example, there is Kingston technology's so Kingston tried some competitive products to move to Azure, it would take them about 24 hours to recover 30 VMS or so with zero technology. They will get about all their 1000 VMS up in Azure instantaneously. So these are three use cases that were foundational. Built. Built the company in the tech. >>Nice. Thank you. Thank you for that. So simple works well these days, especially with all this complexity we have to deal with. Can we get into the secret sauce a little bit. I mean CdP has been around forever. What do you guys do that? That's different. Maybe you can talk about that. Sure. >>Um it's cdp based, I think we've perfected the technology. It's less about being able to just copy the data. It's more about what you do when things go bump. We've made it simpler with driven economies of scale lower and being platform agnostic. We've really brought that up across to whatever platforms once upon a time it was moving from physical to virtual or even across different virtualization platforms and then being able to move across to whatever cloud platform customer may want or or back >>to cbP continuous data protection by the way for the audience that may not know that go ahead. And >>one of the additional points that I want to add to the box comment over here is the the basics of platform independence is what really drew uh hp technologists into the technology because you know, one of the things we have many, we have the high end platform with the H B electra nine Kv of the electro six kids the midrange platform. Then we have a bunch of file and object offerings on the side. What zero does it University universally applies to all those technologies and along with, you know, as you pair them up with our computer offerings to offer a full stack but now the stack is disaster recovery capable. Natively with the integration of certo, you know, one of the things that, you know, Deepak talked about about the as your migrations that a lot of the customers are talking about cloud is also coming up as a D our use case for a lot of our customers, customers, you know, you know, as we went through thousands of customers interviews one of the, one of the key things that came back was investing in a D our data center which is just waiting there for a disaster to happen. It's a very expensive insurance policy. So absurd. Oh, through its native capabilities allows customers to do is to just use public cloud as a D our target and and as a service, it just takes care of all the format conversions and recoveries and although that's completely automated inside the platform and and we feel that, you know, when you combine this either at the high end of data center storage offering or the middle age offering with this replication, D. R. And ransomware protection built into the same package, working under the same hood, it just simplifies and streamlines the customers deployment. >>Come here a couple of things. So first of all historically, if you wanted to recover to appoint within let's say, you know, 10 seconds, five seconds you have to pay up. Big time. Number one. Number two is you couldn't test your D. R. It was too risky. So people just had it in, they had a checkbox on compliance but they actually couldn't really test it because they were afraid they were going to lose data. So it sounds like you're solving both of those problems or >>or you know we remember the D. R. Test where it was a weekend. It was an event right? It was the event and at the end of july that the entire I. T. Organizing honey >>it's not gonna be home this weekend. Exactly what >>we've changed. That is a click of a button. You can D. R. Test today if you want to you can have disaster recovery still running. You can D. R. Test in Azure bring up your environment an isolated network bubble, make sure everything's running and bring it and bring it down. The interesting thing is the technology was invented back when our fear in the industry was losing a data center was losing power was catastrophic, natural disasters. But the technology has lent itself very well to the new threats which which are very much around ransomware as you mentioned because it's a type of disaster. Somebody's going after your data. Physical servers are still around but you still need to go back to a point in time and you need to do that very quickly. So the technology has really just found itself uh appealing to new challenges. >>If a customer asks you can I really eliminate cyber attacks, where should I put my my if I had 100 bucks to spend. Should I spend it on you know layers and defense should I spend it on recovery. Both, what would you tell them? >>I think it's a balanced answer. I think prevention is 100% impossible. Uh It's really I'd say spend it in in thirds. You want to spend a third of it and and prevention a third of it maybe in detection and then a third of it in uh recovery. So it's really that balancing act that means you can't leave the front door open but then have a lot of recovery techniques invested in. It has to be it has to be a balance and it's also not a matter of if it's a matter of when so we invest in all three areas. Hopefully two of them will work to your advantage. >>You dave you you should always protect your perimeter. I mean that that goes without saying but then as you invest in other aspects of the business, as Deepak mentioned, recovery needs to be fast and quick recovery whether from your recovering from a backup disaster. Are you covering from a data center disaster a corrupted file or from a ransomware attack. A couple of things that zero really stitches together like journal based recovery has been allowed for a while but making journal based recovery platform independent in a seamless fashion with the click of a button within five seconds go back to where your situation was. That gives you the peace of mind that even if the perimeter was breached, you're still protected, you know, five minutes into the problem And, and that's the peace of mind, which along with data protection as a service, disaster recovery as a service and now integrating this, you know, recovery from ransomware along with it in a very simple, easy to consume package is what drew us into the >>more you can do this you said on the use the cloud as a target. I could use the cloud as an air gap if I wanted to. It sounds like it's cloud Native, correct? Just wrap your stack in kubernetes and shove it in the cloud and have a host and say we're cloud to No, really I'm serious. So >>absolutely, we we looked at that approach and that that's where the challenge comes in, Right? So I give you the example of Kingston technology just doesn't scale, it's not fast enough. What we did was developed a platform for cloud Native. We consume cloud services where necessary in order to provide that scalability. So one example in Azure is being able to use scale set. So think about a scenario where you just declare a disaster, you've got 1000 VMS to move over, we can spin up the workers that need to do the work to get 1000 VMS spin them down. So you're up and running instantaneously and that involves using cloud Native uh tools and technologies, >>can we stay on that for a minute, So take take us through an example of what life was like would be like without zero trying to recover and what it's like with Puerto resources, complexity time maybe you could sort of paint a picture. Sure. >>Let me, I'll actually use an example from a customer 10 Kata. They uh develop defensive fabrics, especially fabric. So think about firefighters, think about our men and women abroad that need protective clothing that developed the fibers behave. They were hit by ransomware by crypto locker. That this was before zero. Unfortunately it took they took about a two week uh data loss. It took them weeks to recover that environment, bring it back up and the confidence was pretty low. They invested in, they looked at our technology, they invested in the technology and then they were hit with a different variant of crypto locker immediately. The the IT administrators and the ITS folks there were relieved right, they had a sense of confidence to say yes we can recover. And the second time around they had data loss of about 10 seconds, they could recover within a few minutes. So that's the before and after picture giving customers that confidence to say yep, a breach happened, we tried our best but now it's up to recovery and I can recover without having to dig tapes out from some vault and hopefully have a good copy of data sitting there and then try that over and over again and there's a tolerance right before a time before which business will not be able to sustain itself. So what we want to do is minimize that for businesses so that they can recover as quickly as possible with as little data loss as possible. >>Thank you for that. So, Omar, there's a bigger sort of cyber recovery agenda that you have as part of, of green lake, I'm sure. What, what should we expect, what's next? Where do you want to take this? >>So uh excellent question point in the future day. So one of the things that you helped us, uh you know, unveil uh in May was the data services. Cloud console. Data services. Cloud console was the first uh sort of delivery as we took the storage business as it is and start to transform into more of a cloud native business. We introduced electra uh which is the cloud native hardware with the customers buy for persistent storage within their data center. But then data services, cloud console truly cemented that cloud operational model. Uh We separated the management from, from the devices itself and sort of lifted it up as a sas service into the public, public cloud. So now what you're gonna see is, you know, more and more data and data management services come up on the data services. Cloud console and and zero is going to be one of the first ones. Cloud physics was another one that we we talked about, but zero is the is the true data management service that is going to come up on data services, cloud console as part of the Green Lake services agenda that that HP has in the customer's environ and then you're gonna see compliance as a service. You're going to see data protection as a service. You're gonna see disaster recovery as a service. But the beautiful thing about it is, is choice with simplicity as these services get loaded up on data services, clown console. All our customers instantly get it. There's nothing to install, there's nothing to troubleshoot uh, there's nothing to size. All those capabilities are available on the console, customers go in and just start consuming Xarelto capabilities from a management control plane, Disaster recovery control plan are going to be available on the data services, cloud console, automatically detecting electro systems, rian Bear systems, container based systems, whichever our customers have deployed and from there is just a flip of a button. Another way to look at it is it sort of gives you that slider that you have data protection or back up on one side, you've got disaster recovery on one side, you've got ransomware protection on on the extreme right side, you can just move a slider across and choose the service level that you want without worrying about best practices, installation, application integration. All of that just takes control from the data services, cloud concepts. >>Great, great summary because historically you would have to build that right now. You can buy it as a service. You can programmatically, you know, deploy it and that's a game changer. Have to throw it over the fence to some folks. That's okay. Now, you know, make it make it work and then they change the code and you come back a lot of finger pointing. It's now it's your responsibility. >>Absolutely. Absolutely. We're excited to provide Zito continue provides the desert of customers but also integrate with the Green Green Lake platform and let the rest of Green Lake customers experience some of the sort of technology and really make that available as a service. >>That's great. This is a huge challenge for customers. I mean they do, I pay their ransom. Do not pay the ransom. If I pay the ransom the FBI is going to come after me. But if I don't pay the ransom, I'm not gonna get the crypto key. So solutions like this are critical. You certainly see the president pushing for that. The United States government said, hey, we got to do a better job. Good job guys, Thanks for for sharing your story in the cube and congratulations. Thank >>you. Thank you David. >>All right. And thank you for watching everybody. Uh this is the, I want to tell you that everything that you're seeing today as part of the Green Lake announcement is going to be available on demand as part of the HP discover more. So you got to check that out. Thank you. You're watching the cube. >>Mhm mm.
SUMMARY :
Uh, the adversaries are extremely capable, so we're going to dig into that with Omar assad, Pleasure to be here. over you heard my little narrative upfront. itself into more of a cloud native business, which sort of follows on from the May 4th announcements that you And I think that's what you want to see from it as a service offering. First and foremost, one of the use cases has been Thank you for that. It's more about what you do when things go bump. to cbP continuous data protection by the way for the audience that may not know that go ahead. technologists into the technology because you know, one of the things we have many, we have the high end platform with So first of all historically, if you wanted to recover to appoint within let's say, or you know we remember the D. R. Test where it was a weekend. it's not gonna be home this weekend. back to a point in time and you need to do that very quickly. Both, what would you tell them? So it's really that balancing act that means you can't leave the front door You dave you you should always protect your perimeter. more you can do this you said on the use the cloud as a target. So think about a scenario where you just declare a disaster, you've got 1000 VMS to move over, complexity time maybe you could sort of paint a picture. So that's the before and after picture giving customers that confidence to Thank you for that. So one of the things that you You can programmatically, you know, deploy it and that's a game changer. of the sort of technology and really make that available as a service. If I pay the ransom the FBI is going to come after me. Thank you David. So you got to check that out.
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Adriana Gascoigne, GirlsInTech | AWS Summit DC 2021
>>Mhm Hello and welcome back to the cubes coverage of 80 of his public sector summit live for two days in D. C. In person. CuBA's here is an expo floor that people face to face down here. Adriana guest co founder and Ceo of Girls in tech cube alumni friend of the cube. We've known her for a long time. Watch their success really making an impact. Great to see you. Thanks for coming on. >>Wonderful to see you, john, thanks so much for having me. >>You know, one of the things that Sandy carter talks about matt max Peter talks about all of the Amazonian leadership that's about is skills training. Okay, this is a big deal. Okay, so getting talented to the industry is critical and also diversity and women attacking underrepresented minority groups are key. This has been a look at constant focus, you've been successful and and convincing folks about tech and working hard, what's the update, >>wow. So the reason why we're here, not only as Sandy carter are amazing chairman of the board of six plus years, but I heard we heard so many pain points from several of our partners as well as our good friends over at the White House and the Department of State and many other public sector agencies that there is a deficit. It's been very difficult to find diverse groups of talent and talent period to join their companies and populate those important I. T. Jobs stem jobs, whether it's very very technical or more data driven or more sort of design focus, product development focus across the board it's been very hard for them to find talent for those jobs. So girls in tech has partnered with AWS to create an initiative called the next generation public sector leaders and really focusing on creating awareness on career development opportunities for up and coming talent diverse talent that is curious and interested in job opportunities and educational opportunities within the public sector. So it has multi tiers, right? And it's something that we've devised based on the need and based on a lot of data and a lot of interviews from a lot of our partners and within the A. P. N. Network and we're doing a mentorship program which is a six month long program matching these amazing public sector executives, really accomplished leaders as well as our members from around the world um to connect and expose them and provide that nurturing, fostering mentality so that they can succeed in their careers. So >>eight of us getting behind this mission. Yes. And public sector is really fast growing changing. You start to see a lot of public private partnerships go on. So not just the old school public sector business, I mean the pandemic has shown the impact of society. So what does that do for the melting pot of talent out there? Have you seen anything out there? And how does that relate to this? Is that helped you at all or what's that does that mean for the mission? >>So there is a melting pot of talent. I just think we need to do a better job of creating awareness and really knowing where that talent lives. Like what are the blogs that they read? What are the videos that they watch and listen to? Where are they? Right. And we need to do the hard work and investigating and understanding like taking a more empathetic approach to really finding out what um how we can access them what their needs are. What are the things that interest piqued their interest within these jobs within the public sector um And customize it and market it so that they'll be eager and excited. Um And it would be more appealing to them. >>So I looked at the press release I just want to get your reaction to something you got evening with the experts. It's an in person event. >>Yes. When >>is that? Is that here is that going to be on your own event? What's that about? >>All the events that are going to be in person? Will be in D. C. Um There will be some virtual events as well. Our mentorship program is all virtual six month long program with curriculum and matchmaking on a platform that we use the evening with the experts which is a panel discussion with experts from a A. W. S. And beyond the A. P. N. Network. We'll talk about challenges and technology opportunities within a career development and also jobs. Um Well do recruitment like on the fly type of activities as well. Speed and speed interviewing, speed networking? Um We also have a few other programs, our webinar which is about the next gen public sector opportunities and this is more about the challenges that people face that companies face and the new technologies that will be launched very soon. And we're doing a widget on our jobs board to highlight the new career opportunity, new job opportunities from all of the public sector partners. We work with >>a very comprehensive, >>It's very comprehensive on the six >>month guided mentorship program. How does someone get involved in applications? How what's that going on there? >>It will be an application process and we will promote it to anyone who signs up to our newsletter. So go to Girls in tech dot org. Sign up for our newsletter and we will be posting and sharing more information on how people get involved. But we'll definitely send custom uh E. D. M essentially promoting to the people who are here at the conference and also through our Girls in tech D. C. Chapter as well. >>So I have to ask you, I know you've been really busy, been very successful. You've been out and about what's the trend line looked like? Well >>not for the last few years though, >>you've >>been in lockdown now. >>You've been working hard, you know have not not about now. You >>are not >>about what's the temperature like now in terms of the pulse of the industry relative to progress, what's what's what are you finding, what's the current situation >>progress for women in tech in the industry. So Since I started girls in tech in 2007, we've made A lot of progress, I would say it's a lot slower than I thought it would be, but you do see more and more women and people representing bipac actually apply for those jobs. We it is astronomically different than 2006, when I started in my first startup and there's a lot more mentorship, There are a lot more organizations out there that companies are more accountable with the R. G. Groups and they're changing their policies, are changing their training programs are having more off sites, there's now technologies that focus on tracking uh productivity and happiness of employees so that like all of that did not exist or I should say none of that existed, you know? And so we worked hard, we've worked hard, but it takes a village, it takes a lot of different people to create that change. And now one of girls in text mission is not just providing that education that community, that mentorship, we want to get the corporate involved, we want to teach the corporate about D and I training the importance of diversity, different tactics to recruit uh so on and so forth. And and it's been so amazing, so inspirational, I love, I started working more in partnerships and having our monthly calls with partners because I love it. I love collaborating to >>recruit good peer group around you to accelerate and create more territory of awareness and impact more people can get their hands involved. And I think to me that's what I think you're starting to see that with podcasts and media people are starting to go direct to tell their story, apps are out there now as you mentioned. So, but I feel like we're on a crossover point coming soon, totally thinks it's different. Um, but it's still a >>lot more work to do a lot more. We just got the service. I know, I know you've just scratched the surface, but we're so excited to be here. Aws is a huge supporter thanks to Sandy carter and her team. Um, it's been an amazing experience. >>Sandy's got great vision, she takes risks. So she's actually got the Amazonian concept of experiment, try something double down if it works and that's great to see that you guys have extended that relationship with, with her and the team. I like this idea of the fellowship cohort model of the or that program, you have the mentorship program. I think that's super cool. Um, that's something I think will be very successful. >>Uh, it's been successful so far. We typically over sell our mentorship are mentee spots. Uh, we only have 500 spots and last one we had over 2300 like a crazy amount, so we know that our members are really hungry for it around the world. And we know it will just be as just as popular for the public sector. So >>what's next for you? What's the vision? What's the next step was events are coming back in person? We're here in person. >>Yeah, there's just so much going on. I wish I could clone myself and we're busting at the seams. And I think the things that are really exciting to me are being able to produce our programs internationally, specifically in developing countries. So we're working um we haven't made an official announcement yet or anything, but we are working on expanding in african countries with Aws. They're doing some efforts and making some movements there. So places like Cameroon Ghana Nigeria Egypt. Uh we are looking to create chapters there for Girls in Tech and then expand our programming. Uh we're also, as mentioned earlier, we're working a lot with corporations to provide DNA training. So, training about policies, Inclusive leadership. Making sure they have the tools and policies to succeed and for their employees to feel comfortable, safe and productive in their work environment >>is great to see you. Congratulations Girls in tech dot org. Yes. Is the U. R. L. Check it out a great mission, very successful. Making progress any stats you can throw out there, you can share. >>Yeah, of course, you >>wrap it up. >>Yeah. So right now, girls in tech has 58 active chapters in 38 countries with over 70,000 active members. And by the end of the year we will have close to 100 active members. So hopefully we'll see you next year and that number will double or triple sign >>up. Tell him johN sent, you know, don't say that because you won't get no. Great to see you. >>Thank you. Nice to see you too. Thanks so >>much, john. Great to have you on cube coverage here at AWS public Sector summit in Washington, D. C. Is a live event. Were face to face. We had some remote guests. It's a hybrid event. Everything is being streamed. I'm john Kerry with the cube. Thanks for watching. Mhm. Mhm
SUMMARY :
that people face to face down here. You know, one of the things that Sandy carter talks about matt max Peter talks about all of the Amazonian leadership So the reason why we're here, not only as Sandy carter are amazing So not just the old school public sector business, I mean the pandemic has shown What are the things that interest piqued their interest within these So I looked at the press release I just want to get your reaction to something you got evening with the experts. All the events that are going to be in person? How what's that going on there? So go to Girls in tech dot org. So I have to ask you, I know you've been really busy, been very successful. You've been working hard, you know have not not about now. I love collaborating to And I think to me that's what I think you're starting to see that with podcasts and media people We just got the service. cohort model of the or that program, you have the mentorship program. around the world. What's the next step was events are coming back in person? And I think the things that are really exciting to me are being able is great to see you. And by the end of the year we will have close to 100 active members. to see you. Nice to see you too. Great to have you on cube coverage here at AWS public Sector summit in Washington,
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Sandy Carter, AWS & Lynn Martin, VMware | AWS Summit DC 2021
value in jobs is probably the most rewarding >>things I've ever been involved >>in And I bring that energy to the queue because the cube is where all the ideas are and where the experts are, where the people are And I think what's most exciting about the cube is that we get to talk to people who are making things happen, entrepreneurs ceo of companies, venture capitalists, people who are really on a day in and day out basis, building great companies and the technology business is just not a lot of real time live tv coverage and and the cube is a non linear tv operation. We do everything that the T. V guys on cable don't do. We do longer interviews. We asked tougher questions. We >>ask sometimes some light questions. We talked about the person and what >>they feel about it's not prompted and scripted. It's a conversation authentic and for shows that have the cube coverage and makes the show buzz that creates excitement. More importantly, it creates great content, great digital assets that can be shared instantaneously to the world. Over 31 million people have viewed the cube and that is the result of great content, great conversations and I'm so proud to be part of a Q with great team. Hi, I'm john barrier, Thanks for watching the cube boy. >>Okay, welcome back everyone cube coverage of AWS amazon web services public sector summit in person here in Washington D. C. I'm john Kerry host of the cube with Sandy carter and Lynn martin Vm ware Vice president of government education and healthcare. Great to see you both cube alumni's although she's been on since 2014 your first time in 2018 18 2018. Great to see you. Great to see you. Thanks for coming on. Yeah, thanks for having us. So VM ware and 80 of us have a huge partnership. We've covered that announcement when Andy and Pat nelson was the Ceo. Then a lots happened, a lot of growth. A lot of success. Congratulations. Thank you. What's the big news with AWS this year in >>public sector. So we just received our authorization to operate for Fed ramp high. Um and we actually have a lot of joint roadmap planning. You are kicking off our job today with the Department of Defense and I. L five for the defense customers is also in process. So um a lot of fruits of a long time of labor. So very excited, >>awesome. So explain what does the Fed ramp authority to operate mean? What is >>that all about? So I would say in a nutshell, it's really putting a commercial offering through the security protocols to support the federal government needs. Um and there's different layers of that depending on the end user customers. So Fed ramp i across this, across all the civilian and non classified workloads in the federal government. Um probably applicability for state, local government as well with the new state Gramp focus. Um Fed ramp. I will meet or exceed that. So it will be applicable across the other parts of the government as well and all operated, you know, in a controlled environment jointly. So you get the VM ware software stack on top of the platform from A W. S and all the services that is more VM >>ware, faster deployed usage, faster acceleration. >>Yeah, so I would say um today the government operates on VM ware across all of the government, state, local and federal, um some workloads are still on prem many and this will really accelerate that transformation journey to the cloud and be able to move workloads quicker onto the BMC on AWS platform without free architect in your >>application, without giving away any kind of VM World Secret because that's next week. What is the value proposition of VM ware cloud, on AWS? What is the, what is the, what is the main value proposition you guys see in the public >>sector? So I see three and then Sandy chime in their two, I would say, you know, the costs in general to operate In the Cloud vs on prem or significant savings, we've seen savings over 300% on some customers. Um the speed on the application movement I think is a >>huge >>unique benefit on BMC on AWS. So traditionally to move to native cloud, you have to really do a lot of application were to be able to move those workloads where on BMC on AWS to move them pretty fast. And it also leverages the investments that the government agencies have already made in their operational tools and things of that nature. So it's not like a full reinvestment for something new but really leveraging both the skill sets in the data center in the I. T. Shops and the tools and investments you've bought over the past. And then the third area I would say is really getting the agility and flexibility and speed of a cloud experience. >>What's your, what's your reaction to the partnership? >>You know, we were just talking uh in a survey to our customers and 67% of them said that the velocity of the migration really matters to them. And one of the things that we do really well together is migrate very quickly, so we have workloads that we've migrated that have taken you know weeks months uh as opposed to years as they go over, which is really powerful. And then also tomorrow VM ware is with us in a session on data led migration. We were talking about data earlier and VM ware cloud on Aws also helps to migrate over like sequel server, database oracle databases so that we can also leverage that data now on the cloud to make better decisions and >>real time decisions as >>well. It's been really interesting to watch the partnership and watching VM ware transform as well, not only the migrations are in play with the public sector, there's a lot of them, believe me, healthcare, you name every area. It's all, all those old systems are out there. You know, I'm talking about out there. But now with microservices and containers, you've got tansy and you got the whole cloud, native VM ware stack emerging that's going to allow customers to re factor This is a dynamic that is kind of under reported >>Migration is one thing. But I think, I think that the whole Tan Xue portfolio is one of the most interesting things going on in VM ware. And we also have some integration going on on D. M. C on AWS with tan to we don't have that pentagram. Yeah. For the government market, but it's on the road mapping plans and we have other customers And I would say, you know, some of my non federal government customers were able to move workloads in hours, not even days or weeks. There you go, literally back and forth. And very impressive on the BMC on AWS platform. So, um, as we expand things in with the Tan Xue platform is, you know, Sandy talked about this yesterday and our partners summit, Everyone's talking about containers and things like that. VM ware is doing a lot of investment around the cooper Netease plus the application migration work and things of that nature. >>I'd love to get you guys reaction to this comment because I've seen a lot of change. Obviously we're all seeing it. I've actually interviewed a bunch of aWS and VM ware customers and I would call um some of the categories skeptics the old school cloud holding the line. And then when the pandemic hit those skeptics flip over because they see the value. In fact I actually interviewed a skeptic who became an award winner who went on the record and said I love hey w I love the cloud. I was a skeptic because you saw the value the time to value. This is really a key dynamic. I know it's kind of thrown out a lot of digital transformation or I. T. Modernization but the agility and that kind of speed. It becomes the number one thing. What's your reaction to the skeptics converting? And then what happens >>next? Um So I think there's still a lot of folks in I. T. That our tree huggers or I call him several huggers uh um pick your term. And I think that um there is some concern about what their role will be. So I think one of the differences delivering cloud services to your internal constituents is really understand the business value of the applications and what that delivers from a mission perspective back to your client. And that's a shift for data center owners to really start thinking more from the customer mission perspective than or my servers running you know, do you have enough storage capacity blah blah blah. So I think that creates that skepticism and part of that's around what's my role going to be. So in the cloud transformation of a customer, there's all this old people part that becomes really the catalyst and I think the customers that have been very sad and really leverage that and then retool the business value back to the end users around the mission have done the best job. >>I mean we talk about this all the time, it's really hard to get the best debris partners together and then make it all work cloud, it becomes easier than doing it very bespoke or waterfall way >>Yeah, I have to say with the announcement yesterday, we're going to have a lot more partner with partners. So you and I have talked about this a few times where we bring partners together to work with each other. In fact, Lynn is going to go meet with one of those partners right after the interview um that want to really focus in on a couple of particular areas to really drive this and I think, you know, part of the, you know, as your re factoring or migrating VMro over the other big benefit is skills, people have really strong, these fear skills, the sand skills, >>operation >>operation tools Yeah. And so they want to preserve those, I think that's part of the beauty of doing VM ware cloud on Aws is you get to take those skills with you into the new world as well, >>you know, I was going to just ask the next question ai ops or day two operations, a big buzzword Yeah and that is essentially operation mindset, that devoPS DEVOps two is coming. Emily Freeman gave a keynote with our last event we had with with amazon public showcase revolution and devops devoPS 2.0 is coming which is now faster, security is built in the front end, so all these things are happening so now it's coming into the public sector with the GovCloud. So I have to ask you Lynn what are some of the big successes you've had with on the gulf cloudy, just Govcloud. >>So I would say we've had a lot of customers across the state local side especially um that weren't waiting for fed ramp and those customers were able to move like I mentioned this earlier and you guys just touched on it. So I think the benefit and the benefit, one of our best customers is Emmett Right? Absolutely mitt, God bless them. They've been on every cloud journey with VM ware since 2014 we moved in my three years now and talk about a skeptic. So although Mark is very revolutionary and tries new things, he was like oh who knows and literally when we moved those workloads it was minutes and the I. T shop day one there was no transformation work for them, it was literally using all the tools and things in that environment. So the progress of that and the growth of the applications that have been able to move their things. That took 2 to 3 years before we're all done within six months and really being able to expand those business values back out for the services that he delivers to the customers. So I think you'll see quite a bit across state, local federal government. You know, we have U. S. Marshals, thank them very much. They were our sponsor that we've been working with the last few years. We have a defense customer working with us around aisle five. >>Um you know, if we could also thank Coal Fire because Cold Fire is one of our joint partners talking about partner partners and they were played a critical role in helping BM We're cloud on AWS and get the fed ramp high certifications. >>They were R three p. O. We hired them for their exercise expertise with AWS as well as helping the BMR. >>Well the partnership with the war has been a really big success. Remember the naysayers when that was announced? Um it really has worked out well for you guys. Um I do want to ask you one more thing and we don't mind. Um One of the biggest challenges that you see the blockers or challenges from agencies moving to the cloud cover cloud because you know, people are always trying to get those blockers out of the way but it's an organizational culture is a process technology. What's your what's your take on that land. Um >>I think a lot does have to do with the people and the organizational history. I think somewhere you need a leader and a champion that really wants to change for good. I call Pat, used to call a tech for good. I love that. Right to really, you know, get things moving for the customers. I mean one of the things I'm most proud about supporting the government business in general though is really the focus on the mission is unparalleled, you know, in the sectors we support, you say, education or government or healthcare. Right? All three of those sectors, there's never any doubt on what that focuses. So I think the positives of it are like, how do you get into that change around that? And that could be systems, there's less what's VMC ON AWS as we mentioned, because the tools already in the environment so they know how to use it. But I do think there's a transformation on the data center teams and really becoming moving from technology to the business aspects a little bit more around the missions and things of that. >>What's interesting is that it's so, I mean, I actually love this environment even though it's kind of hard on everyone. Education and health care have been disrupted unprecedented ways and it's never gonna change back? Remember healthcare, hip data silos, silos, education don't spend on it. >>That education was the most remarkable part. Unbelievable. I started working in february before school started with one of the large cities everyone can guess and just the way they were able to pivot so fast was amazing and I don't think anybody, I think we did like five years of transformation in six months and it's never going to go back. >>I completely a great yes education. We just did a piece of work with CTS around the world and education is one of the most disrupted as you said health care and then the third one is government and all three of those are public sector. So the three most disruptive sectors or mission areas are in public sector which has created a lot of opportunity for us and our partnership to add value. I mean that's what we're all about right customer obsession working backwards from the customer and making sure that our partnership continues to add value to those customers >>while we love the tech action on the cube. Obviously we'd like to document and pontificate and talk about it. Digital revolution. Every application now is in play globally. Not just for I. T. But for society, public sector more than ever is the hottest area on the planet. >>Absolutely. And I would say that now our customers are looking at E. S. G. Environmental, they want to know what you're doing on sustainability. They want to know what you're doing for society. We just had a bid that came in and they wanted to understand our diversity plan and then open governance. They're looking for that openness. They're not just artificial intelligence but looking at explainable AI as well. So I think that we have a chance to impact environment societies and governance >>and you mentioned space earlier. Another way I talked with closure. I mean I'm an interview today too, but what's happening with space and what you can monitor disasters, understand how to deploy resources to areas that might have challenges, earthquakes or fires or other things. All new things are happening. >>Absolutely. And all that data people like to say, why are you spending money on space? There's so many problems here, but that data that comes from space is going to impact us here on earth. And so all the things that we're doing, all that data could be used with VM ware cloud on AWS as well. >>Well, you watch closely we got some space coverage coming. I got a big scoop. I'm gonna release soon about something behind the dark side of the moon on in terms of space sovereignty coming a lot of action, cybersecurity in space. That's really heavy right now. But >>aren't you glad that VMC cloud on AWS isn't hidden on the dark side of the moon. It's >>right on the congratulations. Thanks for coming on. You guys are doing great. Thanks for >>thanks for sharing. Congratulations. >>Okay, cube coverage here continues. AWS public sector summit in Washington D. C live for two days of coverage be right back. Thank you. Mhm. Mhm mm mm hmm.
SUMMARY :
We do everything that the T. V guys on cable don't do. We talked about the person and what that is the result of great content, great conversations and I'm so proud to be part of a Q with great team. sector summit in person here in Washington D. C. I'm john Kerry host of the cube with Sandy carter and I. L five for the defense customers is also in process. So explain what does the Fed ramp authority to operate mean? parts of the government as well and all operated, you know, What is the value proposition of VM ware cloud, on AWS? Um the speed on the application movement I think is a to move to native cloud, you have to really do a lot of application were to be able to move those workloads And one of the things that we do really well together is migrate very quickly, not only the migrations are in play with the public sector, there's a lot of them, believe me, For the government market, but it's on the road mapping plans and we have other customers And I would I'd love to get you guys reaction to this comment because I've seen a lot of change. So in the cloud transformation of a customer, In fact, Lynn is going to go meet with one of those partners right after the interview um that cloud on Aws is you get to take those skills with you into the new world as well, So I have to ask you Lynn what are some of the big successes So the progress of that and the growth of the applications that have been able to move their Um you know, if we could also thank Coal Fire because Cold Fire is one of our joint partners talking about partner as helping the BMR. Um One of the biggest challenges that you see the blockers or challenges I think a lot does have to do with the people and the organizational What's interesting is that it's so, I mean, I actually love this environment even though it's kind of hard on everyone. just the way they were able to pivot so fast was amazing and around the world and education is one of the most disrupted as you said health care Not just for I. T. But for society, public sector more than ever is the hottest area on the planet. So I think that we have a chance to impact environment societies and governance but what's happening with space and what you can monitor disasters, understand how to deploy And so all the things that we're doing, all that data could be used with VM ware cloud on AWS as well. behind the dark side of the moon on in terms of space sovereignty coming aren't you glad that VMC cloud on AWS isn't hidden on the dark side of the moon. right on the congratulations. thanks for sharing. AWS public sector summit in Washington D.
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Keith Brooks, AWS | AWS Summit DC 2021
>>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.
SUMMARY :
in Washington D. C. We're live on the ground for two days. A lot of history involved in Govcloud. breed in terms of high technology, high security, high compliance in the cloud to allow them but some of the early customers. So the Department of Health and Human Services, the Department of Veterans Affairs, itar compliance which is why they used AWS GovCloud. So there's also these levels. So it starts with the federal compliance program and the two most popular programs are a lot of companies that aren't quote targeting public sector are coming in on the Fed ramp. And the short and skinny is that represents the baseline for cloud security to address sensitive that the cloud, this is the ecosystem within an ecosystem again within crossover section. dot com driven technology Splunk essay PNS to effectively they're bringing what other areas are you guys moving the needle on because architecturally this is a big deal. So the launch of GovCloud East, which is named AWS GovCloud Us East gave customers outside the United States. So outpost brings the power of the AWS cloud to on premises Outside of the U. Right, Right, that's what you're getting at, to understand their regulations and their requirements and we use that to drive our decisions. I've been, I love the D. O. D. S vision on this. and the defense industrial base defense contractors have access to the best debris capabilities like those I got to ask you about just how you view just in general, securing the country have access to the best of breed capability. Go to market partnerships. It's a app that is the official app of the state of Kansas that What's the coolest thing uh you've done or seen. But I love the innovation and it's hard to pick a favorite ago the government would be moving at any, any agile anything. census dot gov in the cloud at scale to secure that data. the cloud is not performing, its not good. the workforce to, because we want to ensure that as our customers mature and as they innovate, Thanks for coming on the cube.
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AWS Startup Showcase Opening
>>Hello and welcome today's cube presentation of eight of us startup showcase. I'm john for your host highlighting the hottest companies and devops data analytics and cloud management lisa martin and David want are here to kick it off. We've got a great program for you again. This is our, our new community event model where we're doing every quarter, we have every new episode, this is quarter three this year or episode three, season one of the hottest cloud startups and we're gonna be featured. Then we're gonna do a keynote package and then 15 countries will present their story, Go check them out and then have a closing keynote with a practitioner and we've got some great lineups, lisa Dave, great to see you. Thanks for joining me. >>Hey guys, >>great to be here. So David got to ask you, you know, back in events last night we're at the 14 it's event where they had the golf PGA championship with the cube Now we got the hybrid model, This is the new normal. We're in, we got these great companies were showcasing them. What's your take? >>Well, you're right. I mean, I think there's a combination of things. We're seeing some live shows. We saw what we did with at mobile world Congress. We did the show with AWS storage day where it was, we were at the spheres, there was no, there was a live audience, but they weren't there physically. It was just virtual and yeah, so, and I just got pained about reinvent. Hey Dave, you gotta make your flights. So I'm making my flights >>were gonna be at the amazon web services, public sector summit next week. At least a lot, a lot of cloud convergence going on here. We got many companies being featured here that we spoke with the Ceo and their top people cloud management, devops data, nelson security. Really cutting edge companies, >>yes, cutting edge companies who are all focused on acceleration. We've talked about the acceleration of digital transformation the last 18 months and we've seen a tremendous amount of acceleration in innovation with what these startups are doing. We've talked to like you said, there's, there's C suite, we've also talked to their customers about how they are innovating so quickly with this hybrid environment, this remote work and we've talked a lot about security in the last week or so. You mentioned that we were at Fortinet cybersecurity skills gap. What some of these companies are doing with automation for example, to help shorten that gap, which is a big opportunity >>for the job market. Great stuff. Dave so the format of this event, you're going to have a fireside chat with the practitioner, we'd like to end these programs with a great experienced practitioner cutting edge in data february. The beginning lisa are gonna be kicking off with of course Jeff bar to give us the update on what's going on AWS and then a special presentation from Emily Freeman who is the author of devops for dummies, she's introducing new content. The revolution in devops devops two point oh and of course jerry Chen from Greylock cube alumni is going to come on and talk about his new thesis castles in the cloud creating moats at cloud scale. We've got a great lineup of people and so the front ends can be great. Dave give us a little preview of what people can expect at the end of the fireside chat. >>Well at the highest level john I've always said we're entering that sort of third great wave of cloud. First wave was experimentation. The second big wave was migration. The third wave of integration, Deep business integration and what you're >>going to hear from >>Hello Fresh today is how they like many companies that started early last decade. They started with an on prem Hadoop system and then of course we all know what happened is S three essentially took the knees out from, from the on prem Hadoop market lowered costs, brought things into the cloud and what Hello Fresh is doing is they're transforming from that legacy Hadoop system into its running on AWS but into a data mess, you know, it's a passionate topic of mine. Hello Fresh was scaling they realized that they couldn't keep up so they had to rethink their entire data architecture and they built it around data mesh Clements key and christoph Soewandi gonna explain how they actually did that are on a journey or decentralized data >>measure it and your posts have been awesome on data measure. We get a lot of traction. Certainly you're breaking analysis for the folks watching check out David Landes, Breaking analysis every week, highlighting the cutting edge trends in tech Dave. We're gonna see you later, lisa and I are gonna be here in the morning talking about with Emily. We got Jeff Barr teed up. Dave. Thanks for coming on. Looking forward to fireside chat lisa. We'll see you when Emily comes back on. But we're gonna go to Jeff bar right now for Dave and I are gonna interview Jeff. Mm >>Hey Jeff, >>here he is. Hey, how are you? How's it going really well. So I gotta ask you, the reinvent is on, everyone wants to know that's happening right. We're good with Reinvent. >>Reinvent is happening. I've got my hotel and actually listening today, if I just remembered, I still need to actually book my flights. I've got my to do list on my desk and I do need to get my >>flights. Uh, >>really looking forward >>to it. I can't wait to see the all the announcements and blog posts. We're gonna, we're gonna hear from jerry Chen later. I love the after on our next event. Get your reaction to this castle and castles in the cloud where competitive advantages can be built in the cloud. We're seeing examples of that. But first I gotta ask you give us an update of what's going on. The ap and ecosystem has been an incredible uh, celebration these past couple weeks, >>so, so a lot of different things happening and the interesting thing to me is that as part of my job, I often think that I'm effectively living in the future because I get to see all this really cool stuff that we're building just a little bit before our customers get to, and so I'm always thinking okay, here I am now, and what's the world going to be like in a couple of weeks to a month or two when these launches? I'm working on actually get out the door and that, that's always really, really fun, just kind of getting that, that little edge into where we're going, but this year was a little interesting because we had to really significant birthdays, we had the 15 year anniversary of both EC two and S three and we're so focused on innovating and moving forward, that it's actually pretty rare for us at Aws to look back and say, wow, we've actually done all these amazing things in in the last 15 years, >>you know, it's kind of cool Jeff, if I may is is, you know, of course in the early days everybody said, well, a place for startup is a W. S and now the great thing about the startup showcases, we're seeing the startups that >>are >>very near, or some of them have even reached escape velocity, so they're not, they're not tiny little companies anymore, they're in their transforming their respective industries, >>they really are and I think that as they start ups grow, they really start to lean into the power of the cloud. They as they start to think, okay, we've we've got our basic infrastructure in place, we've got, we were serving data, we're serving up a few customers, everything is actually working pretty well for us. We've got our fundamental model proven out now, we can invest in publicity and marketing and scaling and but they don't have to think about what's happening behind the scenes. They just if they've got their auto scaling or if they're survivalists, the infrastructure simply grows to meet their demand and it's it's just a lot less things that they have to worry about. They can focus on the fun part of their business which is actually listening to customers and building up an awesome business >>Jeff as you guys are putting together all the big pre reinvented, knows a lot of stuff that goes on prior as well and they say all the big good stuff to reinvent. But you start to see some themes emerged this year. One of them is modernization of applications, the speed of application development in the cloud with the cloud scale devops personas, whatever persona you want to talk about but basically speed the speed of of the app developers where other departments have been slowing things down, I won't say name names, but security group and I t I mean I shouldn't have said that but only kidding but no but seriously people want in minutes and seconds now not days or weeks. You know whether it's policy. What are some of the trends that you're seeing around this this year as we get into some of the new stuff coming out >>So Dave customers really do want speed and for we've actually encapsulate this for a long time in amazon in what we call the bias for action leadership principle >>where >>we just need to jump in and move forward and and make things happen. A lot of customers look at that and they say yes this is great. We need to have the same bias fraction. Some do. Some are still trying to figure out exactly how to put it into play. And they absolutely for sure need to pay attention to security. They need to respect the past and make sure that whatever they're doing is in line with I. T. But they do want to move forward. And the interesting thing that I see time and time again is it's not simply about let's adopt a new technology. It's how do we >>how do we keep our workforce >>engaged? How do we make sure that they've got the right training? How do we bring our our I. T. Team along for this. Hopefully new and fun and exciting journey where they get to learn some interesting new technologies they've got all this very much accumulated business knowledge they still want to put to use, maybe they're a little bit apprehensive about something brand new and they hear about the cloud, but there by and large, they really want to move forward. They just need a little bit of >>help to make it happen >>real good guys. One of the things you're gonna hear today, we're talking about speed traditionally going fast. Oftentimes you meant you have to sacrifice some things on quality and what you're going to hear from some of the startups today is how they're addressing that to automation and modern devoPS technologies and sort of rethinking that whole application development approach. That's something I'm really excited to see organization is beginning to adopt so they don't have to make that tradeoff anymore. >>Yeah, I would >>never want to see someone >>sacrifice quality, >>but I do think that iterating very quickly and using the best of devoPS principles to be able to iterate incredibly quickly and get that first launch out there and then listen with both ears just >>as much >>as you can, Everything. You hear iterate really quickly to meet those needs in, in hours and days, not months, quarters or years. >>Great stuff. Chef and a lot of the companies were featuring here in the startup showcase represent that new kind of thinking, um, systems thinking as well as you know, the cloud scale and again and it's finally here, the revolution of deVOps is going to the next generation and uh, we're excited to have Emily Freeman who's going to come on and give a little preview for her new talk on this revolution. So Jeff, thank you for coming on, appreciate you sharing the update here on the cube. Happy >>to be. I'm actually really looking forward to hearing from Emily. >>Yeah, it's great. Great. Looking forward to the talk. Brand new Premier, Okay, uh, lisa martin, Emily Freeman is here. She's ready to come in and we're going to preview her lightning talk Emily. Um, thanks for coming on, we really appreciate you coming on really, this is about to talk around deVOPS next gen and I think lisa this is one of those things we've been, we've been discussing with all the companies. It's a new kind of thinking it's a revolution, it's a systems mindset, you're starting to see the connections there she is. Emily, Thanks for coming. I appreciate it. >>Thank you for having me. So your teaser video >>was amazing. Um, you know, that little secret radical idea, something completely different. Um, you gotta talk coming up, what's the premise behind this revolution, you know, these tying together architecture, development, automation deployment, operating altogether. >>Yes, well, we have traditionally always used the sclc, which is the software delivery life cycle. Um, and it is a straight linear process that has actually been around since the sixties, which is wild to me um, and really originated in manufacturing. Um, and as much as I love the Toyota production system and how much it has shown up in devops as a sort of inspiration on how to run things better. We are not making cars, we are making software and I think we have to use different approaches and create a sort of model that better reflects our modern software development process. >>It's a bold idea and looking forward to the talk and as motivation. I went into my basement and dusted off all my books from college in the 80s and the sea estimates it was waterfall. It was software development life cycle. They trained us to think this way and it came from the mainframe people. It was like, it's old school, like really, really old and it really hasn't been updated. Where's the motivation? I actually cloud is kind of converging everything together. We see that, but you kind of hit on this persona thing. Where did that come from this persona? Because you know, people want to put people in buckets release engineer. I mean, where's that motivation coming from? >>Yes, you're absolutely right that it came from the mainframes. I think, you know, waterfall is necessary when you're using a punch card or mag tape to load things onto a mainframe, but we don't exist in that world anymore. Thank goodness. And um, yes, so we, we use personas all the time in tech, you know, even to register, well not actually to register for this event, but a lot events. A lot of events, you have to click that drop down. Right. Are you a developer? Are you a manager, whatever? And the thing is personas are immutable in my opinion. I was a developer. I will always identify as a developer despite playing a lot of different roles and doing a lot of different jobs. Uh, and this can vary throughout the day. Right. You might have someone who has a title of software architect who ends up helping someone pair program or develop or test or deploy. Um, and so we wear a lot of hats day to day and I think our discussions around roles would be a better, um, certainly a better approach than personas >>lease. And I've been discussing with many of these companies around the roles and we're hearing from them directly and they're finding out that people have, they're mixing and matching on teams. So you're, you're an S R E on one team and you're doing something on another team where the workflows and the workloads defined the team formation. So this is a cultural discussion. >>It absolutely is. Yes. I think it is a cultural discussion and it really comes to the heart of devops, right? It's people process. And then tools deVOps has always been about culture and making sure that developers have all the tools they need to be productive and honestly happy. What good is all of this? If developing software isn't a joyful experience. Well, >>I got to ask you, I got you here obviously with server list and functions just starting to see this kind of this next gen. And we're gonna hear from jerry Chen, who's a Greylock VC who's going to talk about castles in the clouds, where he's discussing the moats that could be created with a competitive advantage in cloud scale. And I think he points to the snowflakes of the world. You're starting to see this new thing happening. This is devops 2.0, this is the revolution. Is this kind of where you see the same vision of your talk? >>Yes, so DeVOps created 2000 and 8, 2000 and nine, totally different ecosystem in the world we were living in, you know, we didn't have things like surveillance and containers, we didn't have this sort of default distributed nature, certainly not the cloud. Uh and so I'm very excited for jerry's talk. I'm curious to hear more about these moz. I think it's fascinating. Um but yeah, you're seeing different companies use different tools and processes to accelerate their delivery and that is the competitive advantage. How can we figure out how to utilize these tools in the most efficient way possible. >>Thank you for coming and giving us a preview. Let's now go to your lightning keynote talk. Fresh content. Premier of this revolution in Devops and the Freemans Talk, we'll go there now. >>Hi, I'm Emily Freeman, I'm the author of devops for dummies and the curator of 97 things every cloud engineer should know. I am thrilled to be here with you all today. I am really excited to share with you a kind of a wild idea, a complete re imagining of the S DLC and I want to be clear, I need your feedback. I want to know what you think of this. You can always find me on twitter at editing. Emily, most of my work centers around deVOps and I really can't overstate what an impact the concept of deVOPS has had on this industry in many ways it built on the foundation of Agile to become a default a standard we all reach for in our everyday work. When devops surfaced as an idea in 2008, the tech industry was in a vastly different space. AWS was an infancy offering only a handful of services. Azure and G C P didn't exist yet. The majority's majority of companies maintained their own infrastructure. Developers wrote code and relied on sys admins to deploy new code at scheduled intervals. Sometimes months apart, container technology hadn't been invented applications adhered to a monolithic architecture, databases were almost exclusively relational and serverless wasn't even a concept. Everything from the application to the engineers was centralized. Our current ecosystem couldn't be more different. Software is still hard, don't get me wrong, but we continue to find novel solutions to consistently difficult, persistent problems. Now, some of these end up being a sort of rebranding of old ideas, but others are a unique and clever take to abstracting complexity or automating toil or perhaps most important, rethinking challenging the very premises we have accepted as Cannon for years, if not decades. In the years since deVOps attempted to answer the critical conflict between developers and operations, engineers, deVOps has become a catch all term and there have been a number of derivative works. Devops has come to mean 5000 different things to 5000 different people. For some, it can be distilled to continuous integration and continuous delivery or C I C D. For others, it's simply deploying code more frequently, perhaps adding a smattering of tests for others. Still, its organizational, they've added a platform team, perhaps even a questionably named DEVOPS team or have created an engineering structure that focuses on a separation of concerns. Leaving feature teams to manage the development, deployment, security and maintenance of their siloed services, say, whatever the interpretation, what's important is that there isn't a universally accepted standard. Well, what deVOPS is or what it looks like an execution, it's a philosophy more than anything else. A framework people can utilize to configure and customize their specific circumstances to modern development practices. The characteristic of deVOPS that I think we can all agree on though, is that an attempted to capture the challenges of the entire software development process. It's that broad umbrella, that holistic view that I think we need to breathe life into again, The challenge we face is that DeVOps isn't increasingly outmoded solution to a previous problem developers now face. Cultural and technical challenge is far greater than how to more quickly deploy a monolithic application. Cloud native is the future the next collection of default development decisions and one the deVOPS story can't absorb in its current form. I believe the era of deVOPS is waning and in this moment as the sun sets on deVOPS, we have a unique opportunity to rethink rebuild free platform. Even now, I don't have a crystal ball. That would be very handy. I'm not completely certain with the next decade of tech looks like and I can't write this story alone. I need you but I have some ideas that can get the conversation started, I believe to build on what was we have to throw away assumptions that we've taken for granted all this time in order to move forward. We must first step back. Mhm. The software or systems development life cycle, what we call the S. D. L. C. has been in use since the 1960s and it's remained more or less the same since before color television and the touch tone phone. Over the last 60 or so odd years we've made tweaks, slight adjustments, massaged it. The stages or steps are always a little different with agile and deVOps we sort of looped it into a circle and then an infinity loop we've added pretty colors. But the sclc is more or less the same and it has become an assumption. We don't even think about it anymore, universally adopted constructs like the sclc have an unspoken permanence. They feel as if they have always been and always will be. I think the impact of that is even more potent. If you were born after a construct was popularized. Nearly everything around us is a construct, a model, an artifact of a human idea. The chair you're sitting in the desk, you work at the mug from which you drink coffee or sometimes wine, buildings, toilets, plumbing, roads, cars, art, computers, everything. The sclc is a remnant an artifact of a previous era and I think we should throw it away or perhaps more accurately replace it, replace it with something that better reflects the actual nature of our work. A linear, single threaded model designed for the manufacturer of material goods cannot possibly capture the distributed complexity of modern socio technical systems. It just can't. Mhm. And these two ideas aren't mutually exclusive that the sclc was industry changing, valuable and extraordinarily impactful and that it's time for something new. I believe we are strong enough to hold these two ideas at the same time, showing respect for the past while envisioning the future. Now, I don't know about you, I've never had a software project goes smoothly in one go. No matter how small. Even if I'm the only person working on it and committing directly to master software development is chaos. It's a study and entropy and it is not getting any more simple. The model with which we think and talk about software development must capture the multithreaded, non sequential nature of our work. It should embody the roles engineers take on and the considerations they make along the way. It should build on the foundations of agile and devops and represent the iterative nature of continuous innovation. Now, when I was thinking about this, I was inspired by ideas like extreme programming and the spiral model. I I wanted something that would have layers, threads, even a way of visually representing multiple processes happening in parallel. And what I settled on is the revolution model. I believe the visualization of revolution is capable of capturing the pivotal moments of any software scenario. And I'm going to dive into all the discrete elements. But I want to give you a moment to have a first impression, to absorb my idea. I call it revolution because well for one it revolves, it's circular shape reflects the continuous and iterative nature of our work, but also because it is revolutionary. I am challenging a 60 year old model that is embedded into our daily language. I don't expect Gartner to build a magic quadrant around this tomorrow, but that would be super cool. And you should call me my mission with. This is to challenge the status quo to create a model that I think more accurately reflects the complexity of modern cloud native software development. The revolution model is constructed of five concentric circles describing the critical roles of software development architect. Ng development, automating, deploying and operating intersecting each loop are six spokes that describe the production considerations every engineer has to consider throughout any engineering work and that's test, ability, secure ability, reliability, observe ability, flexibility and scalability. The considerations listed are not all encompassing. There are of course things not explicitly included. I figured if I put 20 spokes, some of us, including myself, might feel a little overwhelmed. So let's dive into each element in this model. We have long used personas as the default way to do divide audiences and tailor messages to group people. Every company in the world right now is repeating the mantra of developers, developers, developers but personas have always bugged me a bit because this approach typically either oversimplifies someone's career are needlessly complicated. Few people fit cleanly and completely into persona based buckets like developers and operations anymore. The lines have gotten fuzzy on the other hand, I don't think we need to specifically tailor messages as to call out the difference between a devops engineer and a release engineer or a security administrator versus a security engineer but perhaps most critically, I believe personas are immutable. A persona is wholly dependent on how someone identifies themselves. It's intrinsic not extrinsic. Their titles may change their jobs may differ, but they're probably still selecting the same persona on that ubiquitous drop down. We all have to choose from when registering for an event. Probably this one too. I I was a developer and I will always identify as a developer despite doing a ton of work in areas like devops and Ai Ops and Deverell in my heart. I'm a developer I think about problems from that perspective. First it influences my thinking and my approach roles are very different. Roles are temporary, inconsistent, constantly fluctuating. If I were an actress, the parts I would play would be lengthy and varied, but the persona I would identify as would remain an actress and artist lesbian. Your work isn't confined to a single set of skills. It may have been a decade ago, but it is not today in any given week or sprint, you may play the role of an architect. Thinking about how to design a feature or service, developer building out code or fixing a bug and on automation engineer, looking at how to improve manual processes. We often refer to as soil release engineer, deploying code to different environments or releasing it to customers or in operations. Engineer ensuring an application functions inconsistent expected ways and no matter what role we play. We have to consider a number of issues. The first is test ability. All software systems require testing to assure architects that designs work developers, the code works operators, that infrastructure is running as expected and engineers of all disciplines that code changes won't bring down the whole system testing in its many forms is what enables systems to be durable and have longevity. It's what reassures engineers that changes won't impact current functionality. A system without tests is a disaster waiting to happen, which is why test ability is first among equals at this particular roundtable. Security is everyone's responsibility. But if you understand how to design and execute secure systems, I struggle with this security incidents for the most part are high impact, low probability events. The really big disasters, the one that the ones that end up on the news and get us all free credit reporting for a year. They don't happen super frequently and then goodness because you know that there are endless small vulnerabilities lurking in our systems. Security is something we all know we should dedicate time to but often don't make time for. And let's be honest, it's hard and complicated and a little scary def sec apps. The first derivative of deVOPS asked engineers to move security left this approach. Mint security was a consideration early in the process, not something that would block release at the last moment. This is also the consideration under which I'm putting compliance and governance well not perfectly aligned. I figure all the things you have to call lawyers for should just live together. I'm kidding. But in all seriousness, these three concepts are really about risk management, identity, data, authorization. It doesn't really matter what specific issue you're speaking about, the question is who has access to what win and how and that is everyone's responsibility at every stage site reliability engineering or sorry, is a discipline job and approach for good reason. It is absolutely critical that applications and services work as expected. Most of the time. That said, availability is often mistakenly treated as a synonym for reliability. Instead, it's a single aspect of the concept if a system is available but customer data is inaccurate or out of sync. The system is not reliable, reliability has five key components, availability, latency, throughput. Fidelity and durability, reliability is the end result. But resiliency for me is the journey the action engineers can take to improve reliability, observe ability is the ability to have insight into an application or system. It's the combination of telemetry and monitoring and alerting available to engineers and leadership. There's an aspect of observe ability that overlaps with reliability, but the purpose of observe ability isn't just to maintain a reliable system though, that is of course important. It is the capacity for engineers working on a system to have visibility into the inner workings of that system. The concept of observe ability actually originates and linear dynamic systems. It's defined as how well internal states of a system can be understood based on information about its external outputs. If it is critical when companies move systems to the cloud or utilize managed services that they don't lose visibility and confidence in their systems. The shared responsibility model of cloud storage compute and managed services require that engineering teams be able to quickly be alerted to identify and remediate issues as they arise. Flexible systems are capable of adapting to meet the ever changing needs of the customer and the market segment, flexible code bases absorb new code smoothly. Embody a clean separation of concerns. Are partitioned into small components or classes and architected to enable the now as well as the next inflexible systems. Change dependencies are reduced or eliminated. Database schemas accommodate change well components, communicate via a standardized and well documented A. P. I. The only thing constant in our industry is change and every role we play, creating flexibility and solutions that can be flexible that will grow as the applications grow is absolutely critical. Finally, scalability scalability refers to more than a system's ability to scale for additional load. It implies growth scalability and the revolution model carries the continuous innovation of a team and the byproducts of that growth within a system. For me, scalability is the most human of the considerations. It requires each of us in our various roles to consider everyone around us, our customers who use the system or rely on its services, our colleagues current and future with whom we collaborate and even our future selves. Mhm. Software development isn't a straight line, nor is it a perfect loop. It is an ever changing complex dance. There are twirls and pivots and difficult spins forward and backward. Engineers move in parallel, creating truly magnificent pieces of art. We need a modern model for this modern era and I believe this is just the revolution to get us started. Thank you so much for having me. >>Hey, we're back here. Live in the keynote studio. I'm john for your host here with lisa martin. David lot is getting ready for the fireside chat ending keynote with the practitioner. Hello! Fresh without data mesh lisa Emily is amazing. The funky artwork there. She's amazing with the talk. I was mesmerized. It was impressive. >>The revolution of devops and the creative element was a really nice surprise there. But I love what she's doing. She's challenging the status quo. If we've learned nothing in the last year and a half, We need to challenge the status quo. A model from the 1960s that is no longer linear. What she's doing is revolutionary. >>And we hear this all the time. All the cube interviews we do is that you're seeing the leaders, the SVP's of engineering or these departments where there's new new people coming in that are engineering or developers, they're playing multiple roles. It's almost a multidisciplinary aspect where you know, it's like going into in and out burger in the fryer later and then you're doing the grill, you're doing the cashier, people are changing roles or an architect, their test release all in one no longer departmental, slow siloed groups. >>She brought up a great point about persona is that we no longer fit into these buckets. That the changing roles. It's really the driver of how we should be looking at this. >>I think I'm really impressed, really bold idea, no brainer as far as I'm concerned, I think one of the things and then the comments were off the charts in a lot of young people come from discord servers. We had a good traction over there but they're all like learning. Then you have the experience, people saying this is definitely has happened and happening. The dominoes are falling and they're falling in the direction of modernization. That's the key trend speed. >>Absolutely with speed. But the way that Emily is presenting it is not in a brash bold, but it's in a way that makes great sense. The way that she creatively visually lined out what she was talking about Is amenable to the folks that have been doing this for since the 60s and the new folks now to really look at this from a different >>lens and I think she's a great setup on that lightning top of the 15 companies we got because you think about sis dig harness. I white sourced flamingo hacker one send out, I oh, okay. Thought spot rock set Sarah Ops ramp and Ops Monte cloud apps, sani all are doing modern stuff and we talked to them and they're all on this new wave, this monster wave coming. What's your observation when you talk to these companies? >>They are, it was great. I got to talk with eight of the 15 and the amount of acceleration of innovation that they've done in the last 18 months is phenomenal obviously with the power and the fuel and the brand reputation of aws but really what they're all facilitating cultural shift when we think of devoPS and the security folks. Um, there's a lot of work going on with ai to an automation to really kind of enabled to develop the develops folks to be in control of the process and not have to be security experts but ensuring that the security is baked in shifting >>left. We saw that the chat room was really active on the security side and one of the things I noticed was not just shift left but the other groups, the security groups and the theme of cultural, I won't say war but collision cultural shift that's happening between the groups is interesting because you have this new devops persona has been around Emily put it out for a while. But now it's going to the next level. There's new revolutions about a mindset, a systems mindset. It's a thinking and you start to see the new young companies coming out being funded by the gray locks of the world who are now like not going to be given the we lost the top three clouds one, everything. there's new business models and new technical architecture in the cloud and that's gonna be jerry Chen talk coming up next is going to be castles in the clouds because jerry chant always talked about moats, competitive advantage and how moats are key to success to guard the castle. And then we always joke, there's no more moz because the cloud has killed all the boats. But now the motor in the cloud, the castles are in the cloud, not on the ground. So very interesting thought provoking. But he's got data and if you look at the successful companies like the snowflakes of the world, you're starting to see these new formations of this new layer of innovation where companies are growing rapidly, 98 unicorns now in the cloud. Unbelievable, >>wow, that's a lot. One of the things you mentioned, there's competitive advantage and these startups are all fueled by that they know that there are other companies in the rear view mirror right behind them. If they're not able to work as quickly and as flexibly as a competitor, they have to have that speed that time to market that time to value. It was absolutely critical. And that's one of the things I think thematically that I saw along the eighth sort of that I talked to is that time to value is absolutely table stakes. >>Well, I'm looking forward to talking to jerry chan because we've talked on the queue before about this whole idea of What happens when winner takes most would mean the top 3, 4 cloud players. What happens? And we were talking about that and saying, if you have a model where an ecosystem can develop, what does that look like and back in 2013, 2014, 2015, no one really had an answer. Jerry was the only BC. He really nailed it with this castles in the cloud. He nailed the idea that this is going to happen. And so I think, you know, we'll look back at the tape or the videos from the cube, we'll find those cuts. But we were talking about this then we were pontificating and riffing on the fact that there's going to be new winners and they're gonna look different as Andy Jassy always says in the cube you have to be misunderstood if you're really going to make something happen. Most of the most successful companies are misunderstood. Not anymore. The cloud scales there. And that's what's exciting about all this. >>It is exciting that the scale is there, the appetite is there the appetite to challenge the status quo, which is right now in this economic and dynamic market that we're living in is there's nothing better. >>One of the things that's come up and and that's just real quick before we bring jerry in is automation has been insecurity, absolutely security's been in every conversation, but automation is now so hot in the sense of it's real and it's becoming part of all the design decisions. How can we automate can we automate faster where the keys to automation? Is that having the right data, What data is available? So I think the idea of automation and Ai are driving all the change and that's to me is what these new companies represent this modern error where AI is built into the outcome and the apps and all that infrastructure. So it's super exciting. Um, let's check in, we got jerry Chen line at least a great. We're gonna come back after jerry and then kick off the day. Let's bring in jerry Chen from Greylock is he here? Let's bring him in there. He is. >>Hey john good to see you. >>Hey, congratulations on an amazing talk and thesis on the castles on the cloud. Thanks for coming on. >>All right, Well thanks for reading it. Um, always were being put a piece of workout out either. Not sure what the responses, but it seemed to resonate with a bunch of developers, founders, investors and folks like yourself. So smart people seem to gravitate to us. So thank you very much. >>Well, one of the benefits of doing the Cube for 11 years, Jerry's we have videotape of many, many people talking about what the future will hold. You kind of are on this early, it wasn't called castles in the cloud, but you were all I was, we had many conversations were kind of connecting the dots in real time. But you've been on this for a while. It's great to see the work. I really think you nailed this. I think you're absolutely on point here. So let's get into it. What is castles in the cloud? New research to come out from Greylock that you spearheaded? It's collaborative effort, but you've got data behind it. Give a quick overview of what is castle the cloud, the new modes of competitive advantage for companies. >>Yeah, it's as a group project that our team put together but basically john the question is, how do you win in the cloud? Remember the conversation we had eight years ago when amazon re event was holy cow, Like can you compete with them? Like is it a winner? Take all? Winner take most And if it is winner take most, where are the white spaces for Some starts to to emerge and clearly the past eight years in the cloud this journey, we've seen big companies, data breaks, snowflakes, elastic Mongo data robot. And so um they spotted the question is, you know, why are the castles in the cloud? The big three cloud providers, Amazon google and Azure winning. You know, what advantage do they have? And then given their modes of scale network effects, how can you as a startup win? And so look, there are 500 plus services between all three cloud vendors, but there are like 500 plus um startups competing gets a cloud vendors and there's like almost 100 unicorn of private companies competing successfully against the cloud vendors, including public companies. So like Alaska, Mongo Snowflake. No data breaks. Not public yet. Hashtag or not public yet. These are some examples of the names that I think are winning and watch this space because you see more of these guys storm the castle if you will. >>Yeah. And you know one of the things that's a funny metaphor because it has many different implications. One, as we talk about security, the perimeter of the gates, the moats being on land. But now you're in the cloud, you have also different security paradigm. You have a different um, new kinds of services that are coming on board faster than ever before. Not just from the cloud players but From companies contributing into the ecosystem. So the combination of the big three making the market the main markets you, I think you call 31 markets that we know of that probably maybe more. And then you have this notion of a sub market, which means that there's like we used to call it white space back in the day, remember how many whites? Where's the white space? I mean if you're in the cloud, there's like a zillion white spaces. So talk about this sub market dynamic between markets and that are being enabled by the cloud players and how these sub markets play into it. >>Sure. So first, the first problem was what we did. We downloaded all the services for the big three clowns. Right? And you know what as recalls a database or database service like a document DB and amazon is like Cosmo dB and Azure. So first thing first is we had to like look at all three cloud providers and you? Re categorize all the services almost 500 Apples, Apples, Apples # one number two is you look at all these markets or sub markets and said, okay, how can we cluster these services into things that you know you and I can rock right. That's what amazon Azure and google think about. It is very different and the beauty of the cloud is this kind of fat long tail of services for developers. So instead of like oracle is a single database for all your needs. They're like 20 or 30 different databases from time series um analytics, databases. We're talking rocks at later today. Right. Um uh, document databases like Mongo search database like elastic. And so what happens is there's not one giant market like databases, there's a database market And 30, 40 sub markets that serve the needs developers. So the Great News is cloud has reduced the cost and create something that new for developers. Um also the good news is for a start up you can find plenty of white speeds solving a pain point, very specific to a different type of problem >>and you can sequence up to power law to this. I love the power of a metaphor, you know, used to be a very thin neck note no torso and then a long tail. But now as you're pointing out this expansion of the fat tail of services, but also there's big tam's and markets available at the top of the power law where you see coming like snowflake essentially take on the data warehousing market by basically sitting on amazon re factoring with new services and then getting a flywheel completely changing the economic unit economics completely changing the consumption model completely changing the value proposition >>literally you >>get Snowflake has created like a storm, create a hole, that mode or that castle wall against red shift. Then companies like rock set do your real time analytics is Russian right behind snowflakes saying, hey snowflake is great for data warehouse but it's not fast enough for real time analytics. Let me give you something new to your, to your parallel argument. Even the big optic snowflake have created kind of a wake behind them that created even more white space for Gaza rock set. So that's exciting for guys like me and >>you. And then also as we were talking about our last episode two or quarter two of our showcase. Um, from a VC came on, it's like the old shelf where you didn't know if a company's successful until they had to return the inventory now with cloud you if you're not successful, you know it right away. It's like there's no debate. Like, I mean you're either winning or not. This is like that's so instrumented so a company can have a good better mousetrap and win and fill the white space and then move up. >>It goes both ways. The cloud vendor, the big three amazon google and Azure for sure. They instrument their own class. They know john which ecosystem partners doing well in which ecosystems doing poorly and they hear from the customers exactly what they want. So it goes both ways they can weaponize that. And just as well as you started to weaponize that info >>and that's the big argument of do that snowflake still pays the amazon bills. They're still there. So again, repatriation comes back, That's a big conversation that's come up. What's your quick take on that? Because if you're gonna have a castle in the cloud, then you're gonna bring it back to land. I mean, what's that dynamic? Where do you see that compete? Because on one hand is innovation. The other ones maybe cost efficiency. Is that a growth indicator slow down? What's your view on the movement from and to the cloud? >>I think there's probably three forces you're finding here. One is the cost advantage in the scale advantage of cloud so that I think has been going for the past eight years, there's a repatriation movement for a certain subset of customers, I think for cost purposes makes sense. I think that's a tiny handful that believe they can actually run things better than a cloud. The third thing we're seeing around repatriation is not necessary against cloud, but you're gonna see more decentralized clouds and things pushed to the edge. Right? So you look at companies like Cloudflare Fastly or a company that we're investing in Cato networks. All ideas focus on secure access at the edge. And so I think that's not the repatriation of my own data center, which is kind of a disaggregated of cloud from one giant monolithic cloud, like AWS east or like a google region in europe to multiple smaller clouds for governance purposes, security purposes or legacy purposes. >>So I'm looking at my notes here, looking down on the screen here for this to read this because it's uh to cut and paste from your thesis on the cloud. The excellent cloud. The of the $38 billion invested this quarter. Um Ai and ml number one, um analytics. Number two, security number three. Actually, security number one. But you can see the bubbles here. So all those are data problems I need to ask you. I see data is hot data as intellectual property. How do you look at that? Because we've been reporting on this and we just started the cube conversation around workflows as intellectual property. If you have scale and your motives in the cloud. You could argue that data and the workflows around those data streams is intellectual property. It's a protocol >>I believe both are. And they just kind of go hand in hand like peanut butter and jelly. Right? So data for sure. I. P. So if you know people talk about days in the oil, the new resource. That's largely true because of powers a bunch. But the workflow to your point john is sticky because every company is a unique snowflake right? Like the process used to run the cube and your business different how we run our business. So if you can build a workflow that leverages the data, that's super sticky. So in terms of switching costs, if my work is very bespoke to your business, then I think that's competitive advantage. >>Well certainly your workflow is a lot different than the cube. You guys just a lot of billions of dollars in capital. We're talking to all the people out here jerry. Great to have you on final thought on your thesis. Where does it go from here? What's been the reaction? Uh No, you put it out there. Great love the restart. Think you're on point on this one. Where did we go from here? >>We have to follow pieces um in the near term one around, you know, deep diver on open source. So look out for that pretty soon and how that's been a powerful strategy a second. Is this kind of just aggregation of the cloud be a Blockchain and you know, decentralized apps, be edge applications. So that's in the near term two more pieces of, of deep dive we're doing. And then the goal here is to update this on a quarterly and annual basis. So we're getting submissions from founders that wanted to say, hey, you missed us or he screwed up here. We got the big cloud vendors saying, Hey jerry, we just lost his new things. So our goal here is to update this every single year and then probably do look back saying, okay, uh, where were we wrong? We're right. And then let's say the castle clouds 2022. We'll see the difference were the more unicorns were there more services were the IPO's happening. So look for some short term work from us on analytics, like around open source and clouds. And then next year we hope that all of this forward saying, Hey, you have two year, what's happening? What's changing? >>Great stuff and, and congratulations on the southern news. You guys put another half a billion dollars into early, early stage, which is your roots. Are you still doing a lot of great investments in a lot of unicorns. Congratulations that. Great luck on the team. Thanks for coming on and congratulations you nailed this one. I think I'm gonna look back and say that this is a pretty seminal piece of work here. Thanks for sharing. >>Thanks john thanks for having us. >>Okay. Okay. This is the cube here and 81 startup showcase. We're about to get going in on all the hot companies closing out the kino lisa uh, see jerry Chen cube alumni. He was right from day one. We've been riffing on this, but he nails it here. I think Greylock is lucky to have him as a general partner. He's done great deals, but I think he's hitting the next wave big. This is, this is huge. >>I was listening to you guys talking thinking if if you had a crystal ball back in 2013, some of the things Jerry saying now his narrative now, what did he have a crystal >>ball? He did. I mean he could be a cuBA host and I could be a venture capital. We were both right. I think so. We could have been, you know, doing that together now and all serious now. He was right. I mean, we talked off camera about who's the next amazon who's going to challenge amazon and Andy Jassy was quoted many times in the queue by saying, you know, he was surprised that it took so long for people to figure out what they were doing. Okay, jerry was that VM where he had visibility into the cloud. He saw amazon right away like we did like this is a winning formula and so he was really out front on this one. >>Well in the investments that they're making in these unicorns is exciting. They have this, this lens that they're able to see the opportunities there almost before anybody else can. And finding more white space where we didn't even know there was any. >>Yeah. And what's interesting about the report I'm gonna dig into and I want to get to him while he's on camera because it's a great report, but He says it's like 500 services I think Amazon has 5000. So how you define services as an interesting thing and a lot of amazon services that they have as your doesn't have and vice versa, they do call that out. So I find the report interesting. It's gonna be a feature game in the future between clouds the big three. They're gonna say we do this, you're starting to see the formation, Google's much more developer oriented. Amazon is much more stronger in the governance area with data obviously as he pointed out, they have such experience Microsoft, not so much their developer cloud and more office, not so much on the government's side. So that that's an indicator of my, my opinion of kind of where they rank. So including the number one is still amazon web services as your long second place, way behind google, right behind Azure. So we'll see how the horses come in, >>right. And it's also kind of speaks to the hybrid world in which we're living the hybrid multi cloud world in which many companies are living as companies to not just survive in the last year and a half, but to thrive and really have to become data companies and leverage that data as a competitive advantage to be able to unlock the value of it. And a lot of these startups that we talked to in the showcase are talking about how they're helping organizations unlock that data value. As jerry said, it is the new oil, it's the new gold. Not unless you can unlock that value faster than your competition. >>Yeah, well, I'm just super excited. We got a great day ahead of us with with all the cots startups. And then at the end day, Volonte is gonna interview, hello, fresh practitioners, We're gonna close it out every episode now, we're going to do with the closing practitioner. We try to get jpmorgan chase data measures. The hottest area right now in the enterprise data is new competitive advantage. We know that data workflows are now intellectual property. You're starting to see data really factoring into these applications now as a key aspect of the competitive advantage and the value creation. So companies that are smart are investing heavily in that and the ones that are kind of slow on the uptake are lagging the market and just trying to figure it out. So you start to see that transition and you're starting to see people fall away now from the fact that they're not gonna make it right, You're starting to, you know, you can look at look at any happens saying how much ai is really in there. Real ai what's their data strategy and you almost squint through that and go, okay, that's gonna be losing application. >>Well the winners are making it a board level conversation >>And security isn't built in. Great to have you on this morning kicking it off. Thanks John Okay, we're going to go into the next set of the program at 10:00 we're going to move into the breakouts. Check out the companies is three tracks in there. We have an awesome track on devops pure devops. We've got the data and analytics and we got the cloud management and just to run down real quick check out the sis dig harness. Io system is doing great, securing devops harness. IO modern software delivery platform, White Source. They're preventing and remediating the rest of the internet for them for the company's that's a really interesting and lumbago, effortless acres land and monitoring functions, server list super hot. And of course hacker one is always great doing a lot of great missions and and bounties you see those success continue to send i O there in Palo alto changing the game on data engineering and data pipe lining. Okay. Data driven another new platform, horizontally scalable and of course thought spot ai driven kind of a search paradigm and of course rock set jerry Chen's companies here and press are all doing great in the analytics and then the cloud management cost side 80 operations day to operate. Ops ramps and ops multi cloud are all there and sunny, all all going to present. So check them out. This is the Cubes Adria's startup showcase episode three.
SUMMARY :
the hottest companies and devops data analytics and cloud management lisa martin and David want are here to kick the golf PGA championship with the cube Now we got the hybrid model, This is the new normal. We did the show with AWS storage day where the Ceo and their top people cloud management, devops data, nelson security. We've talked to like you said, there's, there's C suite, Dave so the format of this event, you're going to have a fireside chat Well at the highest level john I've always said we're entering that sort of third great wave of cloud. you know, it's a passionate topic of mine. for the folks watching check out David Landes, Breaking analysis every week, highlighting the cutting edge trends So I gotta ask you, the reinvent is on, everyone wants to know that's happening right. I've got my to do list on my desk and I do need to get my Uh, and castles in the cloud where competitive advantages can be built in the cloud. you know, it's kind of cool Jeff, if I may is is, you know, of course in the early days everybody said, the infrastructure simply grows to meet their demand and it's it's just a lot less things that they have to worry about. in the cloud with the cloud scale devops personas, whatever persona you want to talk about but And the interesting to put to use, maybe they're a little bit apprehensive about something brand new and they hear about the cloud, One of the things you're gonna hear today, we're talking about speed traditionally going You hear iterate really quickly to meet those needs in, the cloud scale and again and it's finally here, the revolution of deVOps is going to the next generation I'm actually really looking forward to hearing from Emily. we really appreciate you coming on really, this is about to talk around deVOPS next Thank you for having me. Um, you know, that little secret radical idea, something completely different. that has actually been around since the sixties, which is wild to me um, dusted off all my books from college in the 80s and the sea estimates it And the thing is personas are immutable in my opinion. And I've been discussing with many of these companies around the roles and we're hearing from them directly and they're finding sure that developers have all the tools they need to be productive and honestly happy. And I think he points to the snowflakes of the world. and processes to accelerate their delivery and that is the competitive advantage. Let's now go to your lightning keynote talk. I figure all the things you have to call lawyers for should just live together. David lot is getting ready for the fireside chat ending keynote with the practitioner. The revolution of devops and the creative element was a really nice surprise there. All the cube interviews we do is that you're seeing the leaders, the SVP's of engineering It's really the driver of how we should be looking at this. off the charts in a lot of young people come from discord servers. the folks that have been doing this for since the 60s and the new folks now to really look lens and I think she's a great setup on that lightning top of the 15 companies we got because you ensuring that the security is baked in shifting happening between the groups is interesting because you have this new devops persona has been One of the things you mentioned, there's competitive advantage and these startups are He nailed the idea that this is going to happen. It is exciting that the scale is there, the appetite is there the appetite to challenge and Ai are driving all the change and that's to me is what these new companies represent Thanks for coming on. So smart people seem to gravitate to us. Well, one of the benefits of doing the Cube for 11 years, Jerry's we have videotape of many, Remember the conversation we had eight years ago when amazon re event So the combination of the big three making the market the main markets you, of the cloud is this kind of fat long tail of services for developers. I love the power of a metaphor, Even the big optic snowflake have created kind of a wake behind them that created even more Um, from a VC came on, it's like the old shelf where you didn't know if a company's successful And just as well as you started to weaponize that info and that's the big argument of do that snowflake still pays the amazon bills. One is the cost advantage in the So I'm looking at my notes here, looking down on the screen here for this to read this because it's uh to cut and paste But the workflow to your point Great to have you on final thought on your thesis. We got the big cloud vendors saying, Hey jerry, we just lost his new things. Great luck on the team. I think Greylock is lucky to have him as a general partner. into the cloud. Well in the investments that they're making in these unicorns is exciting. Amazon is much more stronger in the governance area with data And it's also kind of speaks to the hybrid world in which we're living the hybrid multi So companies that are smart are investing heavily in that and the ones that are kind of slow We've got the data and analytics and we got the cloud management and just to run down real quick
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HelloFresh v2
>>Hello. And we're here at the cube startup showcase made possible by a Ws. Thanks so much for joining us today. You know when Jim McDaid Ghani was formulating her ideas around data mesh, She wasn't the only one thinking about decentralized data architecture. Hello, Fresh was going into hyper growth mode and realized that in order to support its scale, it needed to rethink how it thought about data. Like many companies that started in the early part of last decade, Hello Fresh relied on a monolithic data architecture and the internal team. It had concerns about its ability to support continued innovation at high velocity. The company's data team began to think about the future and work backwards from a target architecture which possessed many principles of so called data mesh even though they didn't use that term. Specifically, the company is a strong example of an early but practical pioneer of data mission. Now there are many practitioners and stakeholders involved in evolving the company's data architecture, many of whom are listed here on this on the slide to are highlighted in red are joining us today, we're really excited to welcome into the cube Clements cheese, the Global Senior Director for Data at Hello Fresh and christoph Nevada who's the Global Senior Director of data also, of course. Hello Fresh folks. Welcome. Thanks so much for making some time today and sharing your story. >>Thank you very much. Hey >>steve. All right, let's start with Hello Fresh. You guys are number one in the world in your field, you deliver hundreds of millions of meals each year to many, many millions of people around the globe. You're scaling christoph. Tell us a little bit more about your company and its vision. >>Yeah. Should I start or Clements maybe maybe take over the first piece because Clements has actually been a longer trajectory yet have a fresh. >>Yeah go ahead. Climate change. I mean yes about approximately six years ago I joined handle fresh and I didn't think about the startup I was joining would eventually I. P. O. And just two years later and the freshman public and approximately three years and 10 months after. Hello fresh was listed on the German stock exchange which was just last week. Hello Fresh was included in the Ducks Germany's leading stock market index and debt to mind a great great milestone and I'm really looking forward and I'm very excited for the future for the future for head of fashion. All our data. Um the vision that we have is to become the world's leading food solution group and there's a lot of attractive opportunities. So recently we did lounge and expand Norway. This was in july and earlier this year we launched the U. S. Brand green >>chef in the U. K. As >>well. We're committed to launch continuously different geographies in the next coming years and have a strong pipe ahead of us with the acquisition of ready to eat companies like factor in the U. S. And the planned acquisition of you foods in Australia. We're diversifying our offer now reaching even more and more untapped customer segments and increase our total addressable market. So by offering customers and growing range of different alternatives to shop food and consumer meals. We are charging towards this vision and the school to become the world's leading integrated food solutions group. >>Love it. You guys are on a rocket ship, you're really transforming the industry and as you expand your tam it brings us to sort of the data as a as a core part of that strategy. So maybe you guys could talk a little bit about your journey as a company specifically as it relates to your data journey. You began as a start up. You had a basic architecture like everyone. You made extensive use of spreadsheets. You built a Hadoop based system that started to grow and when the company I. P. O. You really started to explode. So maybe describe that journey from a data perspective. >>Yes they saw Hello fresh by 2015 approximately had evolved what amount of classical centralized management set up. So we grew very organically over the years and there were a lot of very smart people around the globe. Really building the company and building our infrastructure. Um This also means that there were a small number of internal and external sources. Data sources and a centralized the I team with a number of people producing different reports, different dashboards and products for our executives for example of our different operations teams, christian company's performance and knowledge was transferred um just via talking to each other face to face conversations and the people in the data where's team were considered as the data wizard or as the E. T. L. Wizard. Very classical challenges. And those et al. Reserves indicated the kind of like a silent knowledge of data management. Right? Um so a central data whereas team then was responsible for different type of verticals and different domains, different geographies and all this setup gave us to the beginning the flexibility to grow fast as a company in 2015 >>christoph anything that might add to that. >>Yes. Um Not expected to that one but as as clement says it right, this was kind of set up that actually work for us quite a while. And then in 2017 when L. A. Freshman public, the company also grew rapidly and just to give you an idea how that looked like. As was that the tech department self actually increased from about 40 people to almost 300 engineers And the same way as a business units as Clemens has described, also grew sustainable, sustainably. So we continue to launch hello fresh and new countries launching brands like every plate and also acquired other brands like much of a factor and with that grows also from a data perspective the number of data requests that centrally we're getting become more and more and more and also more and more complex. So that for the team meant that they had a fairly high mental load. So they had to achieve a very or basically get a very deep understanding about the business. And also suffered a lot from this context switching back and forth, essentially there to prioritize across our product request from our physical product, digital product from the physical from sorry, from the marketing perspective and also from the central reporting uh teams. And in a nutshell this was very hard for these people. And this that also to a situation that, let's say the solution that we have became not really optimal. So in a nutshell, the central function became a bottleneck and slowdown of all the innovation of the company. >>It's a classic case, isn't it? I mean Clements, you see you see the central team becomes a bottleneck and so the lines of business, the marketing team salesman's okay, we're going to take things into our own hands. And then of course I I. T. And the technical team is called in later to clean up the mess. Uh maybe, I mean was that maybe I'm overstating it, but that's a common situation, isn't it? >>Yeah. Uh This is what exactly happened. Right. So um we had a bottleneck, we have the central teams, there was always a little of tension um analytics teams then started in this business domains like marketing, trade chain, finance, HR and so on. Started really to build their own data solutions at some point you have to get the ball rolling right and then continue the trajectory um which means then that the data pipelines didn't meet the engineering standards. And um there was an increased need for maintenance and support from central teams. Hence over time the knowledge about those pipelines and how to maintain a particular uh infrastructure for example left the company such that most of those data assets and data sets are turned into a huge step with decreasing data quality um also decrease the lack of trust, decreasing transparency. And this was increasing challenge where majority of time was spent in meeting rooms to align on on data quality for example. >>Yeah. And and the point you were making christoph about context switching and this is this is a point that Jemaah makes quite often is we've we've we've contextualized are operational systems like our sales systems, our marketing system but not our our data system. So you're asking the data team, Okay. Be an expert in sales, be an expert in marketing, be an expert in logistics, be an expert in supply chain and it start stop, start, stop, it's a paper cut environment and it's just not as productive. But but on the flip side of that is when you think about a centralized organization you think, hey this is going to be a very efficient way, a cross functional team to support the organization but it's not necessarily the highest velocity, most effective organizational structure. >>Yeah, so so I agree with that. Is that up to a certain scale, a centralized function has a lot of advantages, right? That's clear for everyone which would go to some kind of expert team. However, if you see that you actually would like to accelerate that and specific and this hyper growth, right, you wanna actually have autonomy and certain teams and move the teams or let's say the data to the experts in these teams and this, as you have mentioned, right, that increases mental load and you can either internally start splitting your team into a different kind of sub teams focusing on different areas. However, that is then again, just adding another peace where actually collaboration needs to happen busy external sees, so why not bridging that gap immediately and actually move these teams and to end into into the function themselves. So maybe just to continue what, what was Clements was saying and this is actually where over. So Clements, my journey started to become one joint journey. So Clements was coming actually from one of these teams to build their own solutions. I was basically having the platform team called database housed in these days and in 2019 where basically the situation become more and more serious, I would say so more and more people have recognized that this model doesn't really scale In 2019, basically the leadership of the company came together and I identified data as a key strategic asset and what we mean by that, that if we leverage data in a proper way, it gives us a unique competitive advantage which could help us to, to support and actually fully automated our decision making process across the entire value chain. So what we're, what we're trying to do now or what we should be aiming for is that Hello, Fresh is able to build data products that have a purpose. We're moving away from the idea. Data is just a by problem products, we have a purpose why we would like to collect this data. There's a clear business need behind that. And because it's so important to for the company as a business, we also want to provide them as a trust versi asset to the rest of the organization. We say there's the best customer experience, but at least in a way that users can easily discover, understand and security access high quality data. >>Yeah, so and and and Clements, when you c J Maxx writing, you see, you know, she has the four pillars and and the principles as practitioners you look at that say, okay, hey, that's pretty good thinking and then now we have to apply it and that's and that's where the devil meets the details. So it's the four, you know, the decentralized data ownership data as a product, which we'll talk about a little bit self serve, which you guys have spent a lot of time on inclement your wheelhouse which is which is governance and a Federated governance model. And it's almost like if you if you achieve the first two then you have to solve for the second to it almost creates a new challenges but maybe you could talk about that a little bit as to how it relates to Hello fresh. >>Yes. So christophe mentioned that we identified economic challenge beforehand and for how can we actually decentralized and actually empower the different colleagues of ours. This was more a we realized that it was more an organizational or a cultural change and this is something that somebody also mentioned I think thought words mentioned one of the white papers, it's more of a organizational or cultural impact and we kicked off a um faced reorganization or different phases we're currently and um in the middle of still but we kicked off different phases of organizational reconstruct oring reorganization, try unlock this data at scale. And the idea was really moving away from um ever growing complex matrix organizations or matrix setups and split between two different things. One is the value creation. So basically when people ask the question, what can we actually do, what shall we do? This is value creation and how, which is capability building and both are equal in authority. This actually then creates a high urge and collaboration and this collaboration breaks up the different silos that were built and of course this also includes different needs of stuffing forward teams stuffing with more, let's say data scientists or data engineers, data professionals into those business domains and hence also more capability building. Um Okay, >>go ahead. Sorry. >>So back to Tzemach did johnny. So we the idea also Then crossed over when she published her papers in May 2019 and we thought well The four colors that she described um we're around decentralized data ownership, product data as a product mindset, we have a self service infrastructure and as you mentioned, Federated confidential governance. And this suited very much with our thinking at that point of time to reorganize the different teams and this then leads to a not only organisational restructure but also in completely new approach of how we need to manage data, show data. >>Got it. Okay, so your business is is exploding. Your data team will have to become domain experts in too many areas, constantly contact switching as we said, people started to take things into their own hands. So again we said classic story but but you didn't let it get out of control and that's important. So we actually have a picture of kind of where you're going today and it's evolved into this Pat, if you could bring up the picture with the the elephant here we go. So I would talk a little bit about the architecture, doesn't show it here, the spreadsheet era but christoph maybe you can talk about that. It does show the Hadoop monolith which exists today. I think that's in a managed managed hosting service, but but you you preserve that piece of it, but if I understand it correctly, everything is evolving to the cloud, I think you're running a lot of this or all of it in A W. S. Uh you've got everybody's got their own data sources, uh you've got a data hub which I think is enabled by a master catalog for discovery and all this underlying technical infrastructure. That is really not the focus of this conversation today. But the key here, if I understand it correctly is these domains are autonomous and not only that this required technical thinking, but really supportive organizational mindset, which we're gonna talk about today. But christoph maybe you could address, you know, at a high level some of the architectural evolution that you guys went through. >>Yeah, sure. Yeah, maybe it's also a good summary about the entire history. So as you have mentioned, right, we started in the very beginning with the model is on the operation of playing right? Actually, it wasn't just one model is both to one for the back end and one for the for the front and and or analytical plane was essentially a couple of spreadsheets and I think there's nothing wrong with spreadsheets, right, allows you to store information, it allows you to transform data allows you to share this information. It allows you to visualize this data, but all the kind of that's not actually separating concern right? Everything in one tool. And this means that obviously not scalable, right? You reach the point where this kind of management set up in or data management of isn't one tool reached elements. So what we have started is we've created our data lake as we have seen here on Youtube. And this at the very beginning actually reflected very much our operational populace on top of that. We used impala is a data warehouse, but there was not really a distinction between borders, our data warehouse and borders our data like the impala was used as a kind of those as the kind of engine to create a warehouse and data like construct itself and this organic growth actually led to a situation as I think it's it's clear now that we had to centralized model is for all the domains that will really lose kimball modeling standards. There was no uniformity used actually build in house uh ways of building materialized use abuse that we have used for the presentation layer, there was a lot of duplication of effort and in the end essentially they were missing feedbacks, food, which helped us to to improve of what we are filled. So in the end, in the natural, as we have said, the lack of trust and that's basically what the starting point for us to understand. Okay, how can we move away and there are a lot of different things that you can discuss of apart from this organizational structure that we have said, okay, we have these three or four pillars from from Denmark. However, there's also the next extra question around how do we implement our talking about actual right, what are the implications on that level? And I think that is there's something that we are that we are currently still in progress. >>Got it. Okay, so I wonder if we could talk about switch gears a little bit and talk about the organizational and cultural challenges that you faced. What were those conversations like? Uh let's dig into that a little bit. I want to get into governance as well. >>The conversations on the cultural change. I mean yes, we went through a hyper growth for the last year since obviously there were a lot of new joiners, a lot of different, very, very smart people joining the company which then results that collaboration uh >>got a bit more difficult. Of course >>there are times and changes, you have different different artifacts that you were created um and documentation that were flying around. Um so we were we had to build the company from scratch right? Um Of course this then resulted always this tension which I described before, but the most important part here is that data has always been a very important factor at l a fresh and we collected >>more of this >>data and continued to improve use data to improve the different key areas of our business. >>Um even >>when organizational struggles, the central organizational struggles data somehow always helped us to go through this this kind of change. Right? Um in the end those decentralized teams in our local geography ease started with solutions that serve the business which was very very important otherwise wouldn't be at the place where we are today but they did by all late best practices and standards and I always used sport analogy Dave So like any sport, there are different rules and regulations that need to be followed. These rules are defined by calling the sports association and this is what you can think about data governance and compliance team. Now we add the players to it who need to follow those rules and bite by them. This is what we then called data management. Now we have the different players and professionals, they need to be trained and understand the strategy and it rules before they can play. And this is what I then called data literacy. So we realized that we need to focus on helping our teams to develop those capabilities and teach the standards for how work is being done to truly drive functional excellence in a different domains. And one of our mission of our data literacy program for example is to really empower >>every employee at hello >>fresh everyone to make the right data informs decisions by providing data education that scaled by royal Entry team. Then this can be different things, different things like including data capabilities, um, with the learning paths for example. Right? So help them to create and deploy data products connecting data producers and data consumers and create a common sense and more understanding of each other's dependencies, which is important, for example, S. S. L. O. State of contracts and etcetera. Um, people getting more of a sense of ownership and responsibility. Of course, we have to define what it means, what does ownership means? But the responsibility means. But we're teaching this to our colleagues via individual learning patterns and help them up skill to use. Also, there's shared infrastructure and those self self service applications and overall to summarize, we're still in this progress of of, of learning, we are still learning as well. So learning never stops the tele fish, but we are really trying this um, to make it as much fun as possible. And in the end we all know user behavior has changed through positive experience. Uh, so instead of having massive training programs over endless courses of workshops, um, leaving our new journalists and colleagues confused and overwhelmed. >>We're applying um, >>game ification, right? So split different levels of certification where our colleagues can access, have had access points, they can earn badges along the way, which then simplifies the process of learning and engagement of the users and this is what we see in surveys, for example, where our employees that your justification approach a lot and are even competing to collect Those learning path batteries to become the # one on the leader board. >>I love the game ification, we've seen it work so well and so many different industries, not the least of which is crypto so you've identified some of the process gaps uh that you, you saw it is gloss over them. Sometimes I say paved the cow path. You didn't try to force, in other words, a new architecture into the legacy processes. You really have to rethink your approach to data management. So what what did that entail? >>Um, to rethink the way of data management. 100%. So if I take the example of Revolution, Industrial Revolution or classical supply chain revolution, but just imagine that you have been riding a horse, for example, your whole life and suddenly you can operate a car or you suddenly receive just a complete new way of transporting assets from A to B. Um, so we needed to establish a new set of cross functional business processes to run faster, dry faster, um, more robustly and deliver data products which can be trusted and used by downstream processes and systems. Hence we had a subset of new standards and new procedures that would fall into the internal data governance and compliance sector with internal, I'm always referring to the data operations around new things like data catalog, how to identify >>ownership, >>how to change ownership, how to certify data assets, everything around classical software development, which we know apply to data. This this is similar to a new thinking, right? Um deployment, versioning, QA all the different things, ingestion policies, policing procedures, all the things that suffer. Development has been doing. We do it now with data as well. And in simple terms, it's a whole redesign of the supply chain of our data with new procedures and new processes and as a creation as management and as a consumption. >>So data has become kind of the new development kit. If you will um I want to shift gears and talk about the notion of data product and, and we have a slide uh that we pulled from your deck and I'd like to unpack it a little bit. Uh I'll just, if you can bring that up, I'll read it. A data product is a product whose primary objective is to leverage on data to solve customer problems where customers, both internal and external. So pretty straightforward. I know you've gone much deeper and you're thinking and into your organization, but how do you think about that And how do you determine for instance who owns what? How did you get everybody to agree? >>I can take that one. Um, maybe let me start with the data product. So I think um that's an ongoing debate. Right? And I think the debate itself is an important piece here, right? That visit the debate, you clarify what we actually mean by that product and what is actually the mindset. So I think just from a definition perspective, right? I think we find the common denominator that we say okay that our product is something which is important for the company has come to its value what you mean by that. Okay, it's it's a solution to a customer problem that delivers ideally maximum value to the business. And yes, it leverages the power of data and we have a couple of examples but it had a fresh year, the historical and classical ones around dashboards for example, to monitor or error rates but also more sophisticated ways for example to incorporate machine learning algorithms in our recipe recommendations. However, I think the important aspects of the data product is a there is an owner, right? There's someone accountable for making sure that the product that we are providing is actually served and is maintained and there are, there is someone who is making sure that this actually keeps the value of that problem thing combined with the idea of the proper documentation, like a product description, right that people understand how to use their bodies is about and related to that peace is the idea of it is a purpose. Right? You need to understand or ask ourselves, Okay, why does this thing exist does it provide the value that you think it does. That leads into a good understanding about the life cycle of the data product and life cycle what we mean? Okay from the beginning from the creation you need to have a good understanding, we need to collect feedback, we need to learn about that. We need to rework and actually finally also to think about okay benefits time to decommission piece. So overall, I think the core of the data product is product thinking 11 right that we start the point is the starting point needs to be the problem and not the solution and this is essentially what we have seen what was missing but brought us to this kind of data spaghetti that we have built there in in Russia, essentially we built at certain data assets, develop in isolation and continuously patch the solution just to fulfill these articles that we got and actually these aren't really understanding of the stakeholder needs and the interesting piece as a result in duplication of work and this is not just frustrating and probably not the most efficient way how the company should work. But also if I build the same that assets but slightly different assumption across the company and multiple teams that leads to data inconsistency and imagine the following too narrow you as a management for management perspective, you're asking basically a specific question and you get essentially from a couple of different teams, different kind of grass, different kind of data and numbers and in the end you do not know which ones to trust. So there's actually much more ambiguity and you do not know actually is a noise for times of observing or is it just actually is there actually a signal that I'm looking for? And the same is if I'm running in a B test right, I have a new future, I would like to understand what has it been the business impact of this feature. I run that specific source in an unfortunate scenario. Your production system is actually running on a different source. You see different numbers. What you've seen in a B test is actually not what you see then in production typical thing then is you're asking some analytics tend to actually do a deep dive to understand where the discrepancies are coming from. The worst case scenario. Again, there's a different kind of source. So in the end it's a pretty frustrating scenario and that's actually based of time of people that have to identify the root cause of this divergence. So in a nutshell, the highest degree of consistency is actually achieved that people are just reusing Dallas assets and also in the media talk that we have given right, we we start trying to establish this approach for a B testing. So we have a team but just providing or is kind of owning their target metric associated business teams and they're providing that as a product also to other services including the A B testing team, they'll be testing team can use this information defines an interface is okay I'm joining this information that the metadata of an experiment and in the end after the assignment after this data collection face, they can easily add a graph to the dashboard. Just group by the >>Beatles Hungarian. >>And we have seen that also in other companies. So it's not just a nice dream that we have right. I have actually worked in other companies where we worked on search and we established a complete KPI pipeline that was computing all this information. And this information was hosted by the team and it was used for everything A B test and deep dives and and regular reporting. So uh just one of the second the important piece now, why I'm coming back to that is that requires that we are treating this data as a product right? If you want to have multiple people using the things that I am owning and building, we have to provide this as a trust mercy asset and in a way that it's easy for people to discover and actually work with. >>Yeah. And coming back to that. So this is to me this is why I get so excited about data mesh because I really do think it's the right direction for organizations. When people hear data product they say well, what does that mean? Uh but then when you start to sort of define it as you did, it's it's using data to add value, that could be cutting costs, that could be generating revenue, it could be actually directly you're creating a product that you monetize, So it's sort of in the eyes of the beholder. But I think the other point that we've made is you made it earlier on to and again, context. So when you have a centralized data team and you have all these P NL managers a lot of times they'll question the data because they don't own it. They're like wait a minute. If they don't, if it doesn't agree with their agenda, they'll attack the data. But if they own the data then they're responsible for defending that and that is a mindset change, that's really important. Um And I'm curious uh is how you got to, you know, that ownership? Was it a was it a top down with somebody providing leadership? Was it more organic bottom up? Was it a sort of a combination? How do you decide who owned what in other words, you know, did you get, how did you get the business to take ownership of the data and what is owning? You know, the data actually mean? >>That's a very good question. Dave I think this is one of the pieces where I think we have a lot of learnings and basically if you ask me how we could start the feeling. I think that would be the first piece. Maybe we need to start to really think about how that should be approached if it stopped his ownership. Right? It means somehow that the team has a responsibility to host and self the data efforts to minimum acceptable standards. This minimum dependencies up and down string. The interesting piece has been looking backwards. What what's happening is that under that definition has actually process that we have to go through is not actually transferring ownership from the central team to the distributor teams. But actually most cases to establish ownership, I make this difference because saying we have to transfer ownership actually would erroneously suggests that the data set was owned before. But this platform team, yes, they had the capability to make the changes on data pipelines, but actually the analytics team, they're always the ones who had the business understands, you use cases and but no one actually, but it's actually expensive expected. So we had to go through this very lengthy process and establishing ownership. We have done that, as in the beginning, very naively. They have started, here's a document here, all the data assets, what is probably the nearest neighbor who can actually take care of that and then we we moved it over. But the problem here is that all these things is kind of technical debt, right? It's not really properly documented, pretty unstable. It was built in a very inconsistent over years and these people who have built this thing have already left the company. So there's actually not a nice thing that is that you want to see and people build up a certain resistance, e even if they have actually bought into this idea of domain ownership. So if you ask me these learnings, but what needs to happen as first, the company needs to really understand what our core business concept that they have, they need to have this mapping from. These are the core business concept that we have. These are the domain teams who are owning this concept and then actually link that to the to the assets and integrated better with both understanding how we can evolve actually, the data assets and new data build things new in the in this piece in the domain. But also how can we address reduction of technical death and stabilizing what we have already. >>Thank you for that christoph. So I want to turn a direction here and talk about governance and I know that's an area that's passionate, you're passionate about. Uh I pulled this slide from your deck, which I kind of messed up a little bit sorry for that, but but by the way, we're going to publish a link to the full video that you guys did. So we'll share that with folks. But it's one of the most challenging aspects of data mesh, if you're going to decentralize you, you quickly realize this could be the Wild West as we talked about all over again. So how are you approaching governance? There's a lot of items on this slide that are, you know, underscore the complexity, whether it's privacy, compliance etcetera. So, so how did you approach this? >>It's yeah, it's about connecting those dots. Right. So the aim of the data governance program is about the autonomy of every team was still ensuring that everybody has the right interoperability. So when we want to move from the Wild West riding horses to a civilised way of transport, um you can take the example of modern street traffic, like when all participants can manoeuvre independently and as long as they follow the same rules and standards, everybody can remain compatible with each other and understand and learn from each other so we can avoid car crashes. So when I go from country to country, I do understand what the street infrastructure means. How do I drive my car? I can also read the traffic lights in the different signals. Um, so likewise as a business and Hello Fresh, we do operate autonomously and consequently need to follow those external and internal rules and standards to set forth by the redistribution in which we operate so in order to prevent a car crash, we need to at least ensure compliance with regulations to account for society's and our customers increasing concern with data protection and privacy. So teaching and advocating this advantage, realizing this to everyone in the company um was a key community communication strategy and of course, I mean I mentioned data privacy external factors, the same goes for internal regulations and processes to help our colleagues to adapt to this very new environment. So when I mentioned before the new way of thinking the new way of um dealing and managing data, this of course implies that we need new processes and regulations for our colleagues as well. Um in a nutshell then this means the data governance provides a framework for managing our people the processes and technology and culture around our data traffic. And those components must come together in order to have this effective program providing at least a common denominator, especially critical for shared dataset, which we have across our different geographies managed and shared applications on shared infrastructure and applications and is then consumed by centralized processes um for example, master data, everything and all the metrics and KPI s which are also used for a central steering. Um it's a big change day. Right. And our ultimate goal is to have this noninvasive, Federated um ultimatum and computational governance and for that we can't just talk about it. We actually have to go deep and use case by use case and Qc buy PVC and generate learnings and learnings with the different teams. And this would be a classical approach of identifying the target structure, the target status, match it with the current status by identifying together with the business teams with the different domains have a risk assessment for example, to increase transparency because a lot of teams, they might not even know what kind of situation they might be. And this is where this training and this piece of illiteracy comes into place where we go in and trade based on the findings based on the most valuable use case um and based on that help our teams to do this change to increase um their capability just a little bit more and once they hand holding. But a lot of guidance >>can I kind of kind of trying to quickly David will allow me I mean there's there's a lot of governance piece but I think um that is important. And if you're talking about documentation for example, yes, we can go from team to team and tell these people how you have to document your data and data catalog or you have to establish data contracts and so on the force. But if you would like to build data products at scale following actual governance, we need to think about automation right. We need to think about a lot of things that we can learn from engineering before. And that starts with simple things like if we would like to build up trust in our data products, right, and actually want to apply the same rigor and the best practices that we know from engineering. There are things that we can do and we should probably think about what we can copy and one example might be. So the level of service level agreements, service level objectives. So that level indicators right, that represent on on an engineering level, right? If we're providing services there representing the promises we made to our customers or consumers, these are the internal objectives that help us to keep those promises. And actually these are the way of how we are tracking ourselves, how we are doing. And this is just one example of that thing. The Federated Governor governance comes into play right. In an ideal world, we should not just talk about data as a product but also data product. That's code that we say, okay, as most as much as possible. Right? Give the engineers the tool that they are familiar basis and actually not ask the product managers for example to document their data assets in the data catalog but make it part of the configuration. Have this as a, as a C D C I, a continuous delivery pipeline as we typically see another engineering task through and services we say, okay, there is configuration, we can think about pr I can think about data quality monitoring, we can think about um the ingestion data catalog and so on and forest, I think ideally in the data product will become of a certain templates that can be deployed and are actually rejected or verified at build time before we actually make them deploy them to production. >>Yeah, So it's like devoPS for data product um so I'm envisioning almost a three phase approach to governance and you kind of, it sounds like you're in early phases called phase zero where there's there's learning, there's literacy, there's training, education, there's kind of self governance and then there's some kind of oversight, some a lot of manual stuff going on and then you you're trying to process builders at this phase and then you codify it and then you can automate it. Is that fair? >>Yeah, I would rather think think about automation as early as possible in the way and yes, there needs to be certain rules but then actually start actually use case by use case. Is there anything that small piece that we can already automate? It's as possible. Roll that out and then actually extended step by step, >>is there a role though that adjudicates that? Is there a central Chief state officer who is responsible for making sure people are complying or is it how do you handle that? >>I mean from a from a from a platform perspective, yes, we have a centralized team to uh implement certain pieces they'll be saying are important and actually would like to implement. However, that is actually working very closely with the governance department. So it's Clements piece to understand and defy the policies that needs to be implemented. >>So Clements essentially it's it's your responsibility to make sure that the policy is being followed. And then as you were saying, christoph trying to compress the time to automation as fast as possible percent. >>So >>it's really it's uh >>what needs to be really clear that it's always a split effort, Right? So you can't just do one thing or the other thing, but everything really goes hand in hand because for the right automation for the right engineering tooling, we need to have the transparency first. Uh I mean code needs to be coded so we kind of need to operate on the same level with the right understanding. So there's actually two things that are important which is one its policies and guidelines, but not only that because more importantly or even well equally important to align with the end user and tech teams and engineering and really bridge between business value business teams and the engineering teams. >>Got it. So just a couple more questions because we gotta wrap I want to talk a little bit about the business outcome. I know it's hard to quantify and I'll talk about that in a moment but but major learnings, we've got some of the challenges that you cited. I'll just put them up here. We don't have to go detailed into this, but I just wanted to share with some folks. But my question, I mean this is the advice for your peers question if you had to do it differently if you had a do over or a Mulligan as we like to say for you golfers, what would you do differently? Yeah, >>I mean can we start with from a from the transformational challenge that understanding that it's also high load of cultural change. I think this is this is important that a particular communication strategy needs to be put into place and people really need to be um supported. Right? So it's not that we go in and say well we have to change towards data mesh but naturally it's in human nature, you know, we're kind of resistance to to change right? Her speech uncomfortable. So we need to take that away by training and by communicating um chris we're gonna add something to that >>and definitely I think the point that I have also made before right we need to acknowledge that data mesh is an architecture of scale, right? You're looking for something which is necessary by huge companies who are vulnerable, data productive scale. I mean Dave you mentioned it right, there are a lot of advantages to have a centralized team but at some point it may make sense to actually decentralized here and at this point right? If you think about data Mash, you have to recognize that you're not building something on a green field. And I think there's a big learning which is also reflected here on the slide is don't underestimate your baggage. It's typically you come to a point where the old model doesn't doesn't broke anymore and has had a fresh right? We lost our trust in our data and actually we have seen certain risks that we're slowing down our innovation so we triggered that this was triggering the need to actually change something. So this transition implies that you typically have a lot of technical debt accumulated over years and I think what we have learned is that potentially we have decentralized some assets to earlier, this is not actually taking into account the maturity of the team where we are actually distributed to and now we actually in the face of correcting pieces of that one. Right? But I think if you if you if you start from scratch you have to understand, okay, is are my team is actually ready for taking on this new uh, this news capabilities and you have to make sure that business decentralization, you build up these >>capabilities and the >>teams and as Clements has mentioned, right, make sure that you take the people on your journey. I think these are the pieces that also here, it comes with this knowledge gap, right? That we need to think about hiring and literacy the technical depth I just talked about and I think the last piece that I would add now which is not here on the flight deck is also from our perspective, we started on the analytical layer because that's kind of where things are exploding, right, this is the thing that people feel the pain but I think a lot of the efforts that we have started to actually modernize the current state uh, towards data product towards data Mash. We've understood that it always comes down basically to a proper shape of our operational plane and I think what needs to happen is is I think we got through a lot of pains but the learning here is this need to really be a commitment from the company that needs to happen and to act. >>I think that point that last point you made it so critical because I I hear a lot from the vendor community about how they're gonna make analytics better and that's that's not unimportant, but but through data product thinking and decentralized data organizations really have to operationalize in order to scale. So these decisions around data architecture an organization, their fundamental and lasting, it's not necessarily about an individual project are why they're gonna be project sub projects within this architecture. But the architectural decision itself is an organizational, its cultural and what's the best approach to support your business at scale. It really speaks to to to what you are, who you are as a company, how you operate and getting that right, as we've seen in the success of data driven driven companies is yields tremendous results. So I'll ask each of you to give give us your final thoughts and then we'll wrap maybe >>maybe it quickly, please. Yeah, maybe just just jumping on this piece that you have mentioned, right, the target architecture. If we talk about these pieces right, people often have this picture of mind like OK, there are different kind of stages, we have sources, we have actually ingestion layer, we have historical transformation presentation layer and then we're basically putting a lot of technology on top of that kind of our target architecture. However, I think what we really need to make sure is that we have these different kind of viewers, right? We need to understand what are actually the capabilities that we need in our new goals. How does it look and feel from the different kind of personas and experience view? And then finally, that should actually go to the to the target architecture from a technical perspective um maybe just to give an outlook but what we're what we're planning to do, how we want to move that forward. We have actually based on our strategy in the in the sense of we would like to increase that to maturity as a whole across the entire company and this is kind of a framework around the business strategy and it's breaking down into four pillars as well. People meaning the data, cultural, data literacy, data organizational structure and so on that. We're talking about governance as Clements has actually mentioned that, right, compliance, governance, data management and so on. You talk about technology and I think we could talk for hours for that one. It's around data platform, better science platform and then finally also about enablement through data, meaning we need to understand that a quality data accessibility and the science and data monetization. >>Great, thank you christophe clement. Once you bring us home give us your final thoughts. >>Can't can just agree with christoph that uh important is to understand what kind of maturity people have to understand what the maturity level, where the company where where people organization is and really understand what does kind of some kind of a change replies to that those four pillars for example, um what needs to be taken first and this is not very clear from the very first beginning of course them it's kind of like Greenfield you come up with must wins to come up with things that we really want to do out of theory and out of different white papers. Um only if you really start conducting the first initiatives you do understand. Okay, where we have to put the starts together and where do I missed out on one of those four different pillars? People, process technology and governance. Right? And then that kind of an integration. Doing step by step, small steps by small steps not boiling the ocean where you're capable ready to identify the gaps and see where either you can fill um the gaps are where you have to increase maturity first and train people or increase your text text, >>you know Hello Fresh is an excellent example of a company that is innovating. It was not born in Silicon Valley which I love. It's a global company. Uh and I gotta ask you guys, it seems like this is an amazing place to work you guys hiring? >>Yes, >>definitely. We do >>uh as many rights as was one of these aspects distributing. And actually we are hiring as an entire company specifically for data. I think there are a lot of open roles serious. Please visit or our page from better engineering, data, product management and Clemens has a lot of rules that you can speak about. But yes >>guys, thanks so much for sharing with the cube audience, your, your pioneers and we look forward to collaborations in the future to track progress and really want to thank you for your time. >>Thank you very much. Thank you very much. Dave >>thank you for watching the cubes startup showcase made possible by A W. S. This is Dave Volonte. We'll see you next time. >>Yeah.
SUMMARY :
and realized that in order to support its scale, it needed to rethink how it thought Thank you very much. You guys are number one in the world in your field, Clements has actually been a longer trajectory yet have a fresh. So recently we did lounge and expand Norway. ready to eat companies like factor in the U. S. And the planned acquisition of you foods in Australia. So maybe you guys could talk a little bit about your journey as a company specifically as So we grew very organically So that for the team becomes a bottleneck and so the lines of business, the marketing team salesman's okay, we're going to take things into our own Started really to build their own data solutions at some point you have to get the ball rolling But but on the flip side of that is when you think about a centralized organization say the data to the experts in these teams and this, as you have mentioned, right, that increases mental load look at that say, okay, hey, that's pretty good thinking and then now we have to apply it and that's And the idea was really moving away from um ever growing complex go ahead. we have a self service infrastructure and as you mentioned, the spreadsheet era but christoph maybe you can talk about that. So in the end, in the natural, as we have said, the lack of trust and that's and cultural challenges that you faced. The conversations on the cultural change. got a bit more difficult. there are times and changes, you have different different artifacts that you were created These rules are defined by calling the sports association and this is what you can think about So learning never stops the tele fish, but we are really trying this and this is what we see in surveys, for example, where our employees that your justification not the least of which is crypto so you've identified some of the process gaps uh So if I take the example of This this is similar to a new thinking, right? gears and talk about the notion of data product and, and we have a slide uh that we There's someone accountable for making sure that the product that we are providing is actually So it's not just a nice dream that we have right. So this is to me this is why I get so excited about data mesh because I really do the company needs to really understand what our core business concept that they have, they need to have this mapping from. to the full video that you guys did. in order to prevent a car crash, we need to at least ensure the promises we made to our customers or consumers, these are the internal objectives that help us to keep a three phase approach to governance and you kind of, it sounds like you're in early phases called phase zero where Is there anything that small piece that we can already automate? and defy the policies that needs to be implemented. that the policy is being followed. so we kind of need to operate on the same level with the right understanding. or a Mulligan as we like to say for you golfers, what would you do differently? So it's not that we go in and say So this transition implies that you typically have a lot of the company that needs to happen and to act. It really speaks to to to what you are, who you are as a company, how you operate and in the in the sense of we would like to increase that to maturity as a whole across the entire company and this is kind Once you bring us home give us your final thoughts. and see where either you can fill um the gaps are where you Uh and I gotta ask you guys, it seems like this is an amazing place to work you guys hiring? We do you can speak about. really want to thank you for your time. Thank you very much. thank you for watching the cubes startup showcase made possible by A W. S.
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Ken Xie, Fortinet | Fortinet Security Summit 2021
>>from around the globe. >>It's the cube >>covering fortunate security summit brought to you by ford in it. >>Welcome back to the cubes coverage, affording that security summit at the ford championship here in napa. I'm lisa martin and I'm very pleased to welcome back to the cube kenzi founder and chairman and ceo affording that, ken. Welcome back to the program. >>Thank you is uh, we're happy to be here after almost two years and uh, >>I know it's great to see you in person. I was saying before we went live, I forgot how tall you are. So this is a great event. But I want you to talk to me a little bit about some of the amazing growth. The Fortinet has seen 500,000 customers close to 30% year on year growth continuing to post solid earnings stock is more than double this year. What are some of the things that you attribute this group to and what do you think in your opinion differentiates format? >>I think some of the more strategic long term investment we made started paying off like uh, we're still the only company actually develop basic chip which can making a huge computing power advantage compared to using software to all the security function computing Because security tend to need about like 1300 times more company in power to process the same data as a routing switching. So that's where for the network security definitely a chap, a huge advantage And we invested very early and take a long term and also a big investment and so far started paying off the other thing we also keeping a lot of innovation and the internal organic growth for the company instead of do a lot of acquisition and that's also started making all these different products integrate well ultimately to get well. And that's also driving a huge growth, not just that was security, but also we see the fabric also has global fast, >>interesting. So you're really keeping it organic, which is not common a lot of these days we see a lot of acquisitions, but one of the things, a lot of growth, another thing that we do know that's growing is the threat landscape I was mentioning before we went live that I spoke with Derek Manky a couple times this summer and John Madison and the global threat landscape report showing ransomware up nearly 11 times in the last year. Of course we had this rapid transition to work from home and all these devices on accessing corporate networks from home. Talk to me about some of the security challenges that you're helping customers deal with. >>I think during the pandemic, definitely you see a lot of security issues that come up because work from home with your remote access a lot of important information, a lot of important data there At the same time. The ransomware attacks studying like a mentioning 11 times compared to like one or two years ago all this driving all there's a new technology for security. So now you cannot just secure the board anymore. So you have a secure the whole infrastructure. Both internal to a lot of internal segmentation And also go outside security when like I see when the 5G. Connection and how to secure work from home and they trust their trust access environment all these drive a lot of security growth. So we see the yeah it's a it's a pretty healthy market >>it's definitely a healthy market that's one thing looking at it from that lens. What are some of the customer conversation? How have the customer conversations changed? Are you now talking with different levels and organizations security Being a board level conversation discussion and talk to me about how those conversations have evolved. >>Security now become very important part of I. T. And uh pretty much all top one top two on the 80 spending now and the same time what to work from home or some other uh definitely seeing the board level conversation right now because you can see if there's a security issue for the company the damage could be huge. Right? So that's where the secure awareness especially ransomware is very very huge And plus the supply chain issues some other attack on the infrastructure. So we see a lot of security conversation in the bowl level in the Ceo in the in the executive level now compared to before more I. T. Conversation. So it's to drive the huge awareness of security and that's also we see everybody citing concerns security now. >>But I'm sure I imagine that's across every industry. Yes. >>Yeah pretty much all the vertical right? And especially a lot of new area traditionally they don't have much security like some smb some consumer some traditional Ot IOT space now it's all security studying that very important for them now. >>So let's talk about, here we are. The security summit at the fortunate championship. Give me your perspective on the P. G. A. Ford in that relationship. >>Uh first I think it's a golf is also event sports especially during the epidemic that's probably become the most favorite spot. And for me also I'm a golfer for 30 years. Never market golfer but I love the sport on the other side we see sometimes it's uh working with a lot of a customer a lot of a partner they behave if we can combine some business and there was certain like activity especially outdoor that's also be great. And also helping Brandon and that's another way we can contribute back to the community. So they say hey then then that's that's the first time for us. We just love it gets going. >>It's great to be outdoors right at 40 minutes doing an event outdoors showing that yes you can do that safely. But also I also hear from some of your other team members that it's a very culturally synergistic relationship. The pgn format. >>Yes. Exactly. Yeah that's where we love this golf and especially working with a different partner and different partner and also all the team working together. So it's a team sport kind of on the other side it's all do and enjoy a combined working uh activity altogether. Everybody love it. >>Something that so many of us have missed Ken for the last 18 months or so. So we're at the security summit, there's over 300 technology leaders here. Talk to me about some of the main innovations that are being discussed. >>Uh definitely see security starting uh little covered whole infrastructure and uh especially in a lot of environment. Traditionally no security cannot be deployed like internal segmentation because internal network can be 10, 200 faster than the one connection. So it has to be deployed in the in the internal high speed environment whether inside the company or kind of inside the data center, inside the cloud on the other side, like a lot of one connection traditionally like whether they see one or the traditional like cuba more than the S E O. They also need to be combined with security and also in the zero trust access environment to really supporting work from home and also a lot of ot operation technology and a lot of other IOT space utility. All these different kind of like environment need to be supported, sometimes recognized environment. So we see security studying deport everywhere whether the new small city or the like connected car environment and we just see become more and more important. That's also kind of we studying what we call in a secure driven networking because traditionally you can see today's networking just give you the connectivity and speed so they treat everything kind of uh no difference but with security driven network and you can make in the networking decision move based on the security function, like a different application or different content, different user, different device, even different location, you can make a different kind of level decision so that we see is a huge demand right now can make the whole environment, whole infrastructure much secure. >>That's absolutely critical that pivot to work from home was pretty much overnight a year and a half ago and we still have so many people who are permanently remote, remote but probably will be permanently and a good amount will be hybrid in the future, some TBD amount. Uh and one of the challenges is of course you've got people suddenly from home you've got a pandemic. So you've got an emotional situation, you've got people multitasking, they've got kids at home trying to learn maybe spouses working, they're trying to do Everything by a video conferencing and collaboration tools and the security risks. There are huge and we've seen some of that obviously reflected in the nearly 11 x increase in ransomware but talk to me about what 14 announced yesterday with links is to help on that front in a considerable way. >>That's where we totally agree with you the work from home or kind of hybrid way to work in. Pretty much will become permanent. And that's where how to make a home environment more kind of supporting is a remote working especially like when you have a meeting, there are some other things going on in the whole activity and also sometimes data you access can be pretty important, pretty confidential. That's where whether in the zero trust environment or making the home connection more reliable, more secure. It's all very, very important for us. Uh, that's where we were happy to partner with Lynxes and some other partner here uh, to support in this hybrid working environment to make work from home more secure. And uh, as we see is a huge opportunity, >>huge opportunity and a lot of industries, I had the pleasure of talking with links to Ceo Harry do is just an hour or so ago and I asked him what are some of the vertical, since we know from a security and a ransomware perspective, it's just wide open. Right, Nobody's safe anymore from it. But what are some of the verticals that you think are going to be early adopters of this technology, government health care schools, >>I think pretty much all vertical start and see this work from home and it's very, very important for us. There's a few top vertical, traditionally finance service, uh, spend a lot of money healthcare, spend a lot of money on security. So they are still the same? We don't see that change March on the other side. A lot of high tech company, which also one of the big vertical for us now, I say maybe half or even more than half the employee they want to work for home. So that's also making they say uh they call home branch now, so it's just make home always just secure and reliable as a branch office and at the same time of Southern government and the sort of education vertical and they all started C is very, very important to do this, remote their trust access approach and the same time working with a lot of service providers to supporting this, both the D. N. A. And also the sassy approach. So we are only companies on the saturday company partner, a lot of IT service provider. We do believe long term of the service provider, they have the best location, best infrastructure, best team to supporting Sassy, which we also build ourselves. If customers don't have a service provider, we're happy to supporting them. But if they have a service provider, we also prefer, they go to service provider to supporting them because we also want to have a better ecosystem and making everybody like uh benefit has women's situation. So that's what we see is whether they trust no access or sassy. Very happy to work with all the partners to making everybody successful. >>And where our customers in that evolution from traditional VPN to Z T and a for example, are you seeing an acceleration of that given where we are in this interesting climate >>uh definitely because work from home is uh if you try to access use VPN, you basically open up all the network to the home environment which sometimes not quite secure, not very reliable. Right? So that's where using a Z T N A, you can access a certain application in a certain like environment there. And the same leverage ste when there's other huge technology advantage can lower the cost of the multiple link and balance among different costs, different connection and uh different reliability there. Uh it's a huge advantage, >>definitely one of the many advantages that reporting it has. So this afternoon there's going to be a, as part of the security summit, a panel that you and several other Fortinet execs are on taking part in A Q and a, what are some of the topics that you think are going to come up? And as part of that Q and >>A. I see for certain enterprise customer, definitely the ransomware attack, how to do the internal segmentation, how to securely do the remote access work from home. So we are very important For some service provider. We also see how to supporting them for the sassy environment and certain whole infrastructure security, whether the 5G or the SD went because everyone has a huge demand and uh it's a group over for us, we become a leader in the space. It's very very important for them. We also see uh like a different vertical space, Some come from healthcare, some from come from education. Uh they all have their own kind of challenge. Especially like there's a lot of uh oh T IOT device in healthcare space need to be secured and the same thing for the O. T. IOT space, >>Tremendous amount of opportunity. One thing I want to ask it, get your opinion on is the cybersecurity skills gap. It's been growing year, over year for the last five years. I know that just last week 14 that pledge to train one million professionals in the next five years, you guys have been focused on this for a while. I love that you have a veterans program. I'm the daughter of a Vietnam combat veterans. So that always warms my heart. But is that something, is the cybersecurity skills got something that customers ask you ken? How do you recommend? We saw this? >>Yes, we have been doing this for over 10 years. We have the program, we call the network secured expert program a different level. So we have 24 million people. We also commit a traditional million people because there's a huge shortage of the scale separate security expert there. So we do work in with over like a 4500 university globally at the same time. We also want to offer the free training to all the people interested, especially all the veterans and other Like even high school graduate high school student there and at the same time anyone want to learn several security. We feel that that's, that's very good space, very exciting space and very fast-growing space also still have a huge shortage globally. There's a 3-4 million shortage of skilled people in the space, which is a or fast growing space. And so we were happy to support all the train education with different partners at the same time, try to contribute ourselves. >>I think that's fantastic. Will be excited to see over the next five years that impact on that training one million. And also to see it to your point with how much the industry is changing, how much, how fast supporting that's growing. There's a lot of job opportunity out there. I think it was Sandra who said that I was talking to her this morning that there's no job security like cybersecurity. It's really true. If you think about it. >>Yeah, I totally agree. Yeah. Like remember a few years ago when we started the first time to do all this interview, I said, hey, it's a barber hot space now, let's get harder and harder, more people interested now. And I really thank you cube and you give all the support it all these years and we're happy to be here. >>Absolutely. It's our pleasure. Well, I know you are paired up. You said tomorrow with Phil Mickelson for the pro am. That's pretty exciting, ken. >>I'm not sure I'm a very good golfer, but I will try my best. >>You try your best. I'm sure it will be a fantastic experience. Thank you for having the cube here for bringing people back together for this event, showing that we can do this, we can do this safely and securely. And also what Fortinet is doing to really help address that cyber security skills gap and uh, really make us more aware of the threats and the landscape and how we, as individuals and enterprises can help sort to quiet that storm >>also will be happy to be here and also being honored to be part of the program at the same time. We also want to thank you a lot of partner model customer and join us together for this big PJ event and thank you for everyone. >>Absolutely. And you guys are a big partner driven organization. I'm sure the partners appreciate that, ken, Thank you so much. >>Thank you. Thank you lisa >>for kenzi. I'm lisa martin. You're watching the cue from the Fortinet security summit in napa valley. >>Yeah. Mhm
SUMMARY :
Welcome back to the cubes coverage, affording that security summit at the ford championship here in napa. What are some of the things that you attribute this group to and what do you think in your opinion differentiates format? And that's also driving a huge growth, not just that was security, but also we see the fabric a lot of acquisitions, but one of the things, a lot of growth, another thing that we do know that's growing is So you have a secure the whole infrastructure. What are some of the customer conversation? the executive level now compared to before more I. T. Conversation. But I'm sure I imagine that's across every industry. Yeah pretty much all the vertical right? So let's talk about, here we are. on the other side we see sometimes it's uh working with a lot of a It's great to be outdoors right at 40 minutes doing an event outdoors showing that yes you can do that safely. So it's a team sport kind of on the other side it's all do and Talk to me about some of the main innovations that are being discussed. So it has to be deployed in the That's absolutely critical that pivot to work from home was pretty much overnight a year and a half ago and we still That's where we totally agree with you the work from home or kind of hybrid way huge opportunity and a lot of industries, I had the pleasure of talking with links to Ceo Harry do is just I say maybe half or even more than half the employee they want to work for home. So that's where using a Z T N A, you can access a certain a, as part of the security summit, a panel that you and several other Fortinet execs are on We also see how to supporting them for the sassy environment and certain is the cybersecurity skills got something that customers ask you ken? So we do work in with over like a 4500 And also to see it to your point with how much the industry is changing, And I really thank you cube and you give for the pro am. and the landscape and how we, as individuals and enterprises can help sort to quiet that storm We also want to thank you a lot of partner model customer and join us And you guys are a big partner driven organization. Thank you lisa I'm lisa martin.
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Sandy Carter, AWS | AWS EC2 Day 2021
>>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.
SUMMARY :
Welcome Sandy, it's great to see you again, So great to see you too. in 2006, the degree to which EC two would impact our industry. So I'm with you. So talk about the public sector momentum with And we announced Govcloud, you know, things really picked up, So if we can stay in the infancy and sort of the adolescent years of public sector, Um and the big challenges you asked about challenges, the big challenges that we had to face. And I said at the time, you know, a lot of my commercial clients could learn a lot is leading the pack now, especially after Covid, you know, It actually blew the socks off of verne or two and you know that's hard to do I'll give you the last word. It has been the early days of Always Great to see you. And happy birthday again to E. C. To keep
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Jason Abrahamson, The Walt Disney Company, and James Irvine, HPE | HPE Discover 2021
>>Mhm. Hey, welcome to the cubes coverage of HP discover 2021. I'm lisa martin. I have two guests with me here today. We're gonna be talking to the walt. Disney company. Jason Abrahamson is here. The Director of infrastructure engineering. Jason. Welcome to the program. >>Hi, how you doing >>doing well. And James Irvine is here as well. Account chief technologist at H P. D. James. Welcome to the program. >>Yeah, I like to thank you. >>Okay, so we're gonna be talking about all things the HP supporting Disney relationship. But you know, things have been changing so much in technology, things have been very different for technologists in the last few years, Jason talked to us about how Disney has adapted as business needs have evolved. >>Uh you know, I think not just Disney but in general, as we've we've had to evolve, evolve as technologists. Right. And one of the ways we've done that is to focus a lot on automation and self service, enabling developers to move faster to meet the shift in business demand, business moves at the speed of light. Uh anybody that's been this business long enough knows. Uh There were years ago you could have email servers down for three hours and nobody would notice. Now if email went down for more than, you know, 35 seconds, everybody notices. Right? So in order to meet the change in demand, we've had to focus heavily on automation and self service, which has been a key strategy, is keep a key driver for as as part of private cloud. >>So Jason with infrastructure as such, a large part of your responsibilities and your job title, how has Disney been thinking about private cloud in the last few years? >>So I would say that we were probably one of the uh I don't wanna see bleeding edge, but certainly out in front when it came to private cloud, we had embarked on a cloud first strategy overall across the enterprise, uh, the goal there was to figure out how we could do more with less and be more agile and be able to flex for application developers and meet our shifts in demand. However, there are, you know, systems that for whatever reasons, business purpose or otherwise need to either span hybrid cloud or multi cloud or stay on premise. So in order to uh get a cloud like environment for application developers and whatnot, we decided to build out a robust, private cloud environment that allowed all of our application developers to be able to just bring their code or get a server and try to get as much of the public cloud functionality on premise as we possibly could >>James. Let's bring you into the conversation, talk to us about the H P E WAlt Disney company relationship and how HP is supporting walt. Disney. >>Yeah, HP and Disney have had a long standing relationship dating all the way back to HP and Disney as far as the audio oscillators concerned. So we've had an extraordinarily long history, the technology and co innovation partnership that we've worked on together through the years. And as Jason mentioned, you know, the journey around private cloud and working together in that technology relationship is just has been fantastic. And we've supported them with all the innovation and technology is needed for them to meet their bulls. >>Excellent. All right, Jason, let's go back to you. I want to dig into this private cloud strategy a little bit more. You mentioned this a minute ago, but as we look at and here so many discussions and strategies revolving around public, multi cloud, Why is private cloud so important to Disney? >>Well, we have a tremendous amount of applications. We are application portfolio as massive as you can imagine. And we find ourselves in unique situations because of all of the different uh, business challenges that we have that are unique to Disney, that we have to develop applications from the ground up far more often than we probably like to admit. So, uh, private cloud allows us to uh take advantage of the public cloud, like services and technology scalability and flexibility and agility, right? And bring those on premise and be close to the business where it's absolutely critical to our business. I don't want to comment on what specific, because their services that we have to run close to the business. But you can imagine with the uh, expansive footprint of our business and how we have to interact with guests, um whether it's from a movie or at a theme park, we do have to have some services that are close to our business. And so by having private cloud, we complement our public cloud strategy uh, and and allow us to keep those most critical services very close to the business. >>Got it. You just mentioned a number of the elements of Disney. There's been a lot going on, so much going on. It's actually kind of easy to forget how new Disney Plus is, but sitting in the center of a company that's doing so much digitally, how does the shared services play a part in the overall digital transformation of the business? >>Uh, that's a great question. So obviously technology is key to our business. If you look at all the different lines of business we have and you look at all the different technology that we have. It's absolutely critical in order for us to continue to invest in technology to meet all of our business demands. Were shared services comes in is we enable the business to focus on what is critical to their business. Right? We allow resorts and even the immediate media partners to just focus solely on the technology that is critical to driving those businesses to enabling the guest experience and keeping it great. We are focused on uh everything else that is not critical for their business. The underlying infrastructure, the underpinning infrastructure right? Such as the global network, global servers, emails and so on and so forth. So it's a great compliment where it freezes the business up to focus on what's really critical for them and we can get economies of scale and synergy across our entire enterprise by delivering core services at a much more efficient costs throughout the company >>and James. I want to ask you a question. You've been working as a with the walt Disney company for a long time. We've we've seen the evolution of h p e and we've seen the evolution of Disney. Can we ask you anything about kind of, give us your perspectives on how both companies have evolved in this relationship together? >>I would say that it's been it's been a great relationship. I would say that the uh, we have continued to lean on HP from an investment perspective for our servers in certain areas storage, but mostly servers, what are the big investments we've made recently was hB synergy which is composed all infrastructure, which has allowed us to continue to uh invest in our automation strategy and allows us deliver physical servers much, much faster James. Did you want to add anything there? >>Yeah, of course, Jason. Uh it's been great to partner with with Jason and the team walt. Disney company in particular and and through this experience of them trying to achieve their private cloud goals, we've been able to bring the right technology, the right set of services to achieve these technology outcomes that they've been after and the use of automation to improve life cycle management day to operations, all the goals and aspirations that they need to really automate infrastructure and make it intelligent and started achieving the goal of the intelligent data center. So it's it's been a great technology partners of relationship we've had there, >>Jason back to you. Let's, we've talked about Disney's private cloud strategy. I'm gonna talk a little bit more about how that integrates with the rest of Disney's cloud strategy. What can you share with us? >>Well, uh >>like, like anything you want the right tool for the right job And uh, certainly the multi cloud strategy in the public cloud strategy is a huge part of our overall strategic roadmap. Where again, we use the private cloud is to complement that for applications that need to either span or stay on premise. You know, one of the things that we're just getting into now is hybrid cloud while you have application teams that are like, hey, we really just need to focus on premises where we need to be close to the business, but we have workloads that need to burst to the public cloud or need to scale out to the public cloud, uh, and you really take advantage of that. So again, we don't look at it as it used to be, not just within Disney, but in general, and most cloud strategies, it was, it's kind of like an either or now we look at it as the right tool for the right job. What's the right fit for your application? And as we continue to look at how the application stack modernizes, right used to be. How do you get servers faster? Well, now I don't want to serve. I want a container. Now. It's, I just want to bring my coat and I don't even know if I need a container. Right. The application developers really want sort of this, They really want to just focus on application development and they want to focus more on what makes their applications great. Right. We want to focus more on commoditization and blurring the lines between public and private. Really, where does the workload run best? Where is it most efficient? And where is the best for the business? And so when we look at how we build out our private cloud environment, it was really to complement our existing public cloud strategy. >>Let's talk about people now, Jason for a second. I know, I love that. Disney calls there folks, Cast members, I see the pin on your lapel there. How are the cast members at the center of this technology strategy and how does the private cloud strategy play into that? >>Well, it's one of those things where our cast members are the most important aspect of our, of our brand. If you, if you were to look at what is r one of the most valuable asset, it would certainly be our cast members right there. The front line, whether it's helping a guest, whether it's working on a movie and our overall technology strategy is all about enabling cast members to do their job as most efficiently and effectively as possible. Um, uh, when it comes to how private cloud fits into that, it's again creating an environment where the application developers and our business partners can accelerate their application growth and the delivery of their services to support our back of house operations for our cast members. So that way it doesn't impact the guest experience. There's nothing more frustrating for a cast member is when they're impeded or have issues trying to get to a resource or unable to efficiently do their job. And so by having the private cloud, by having access to resources on premise. At times it gives them the ability to deliver those and consume those applications even faster, >>which I'm sure the guests love. One of the things that you mentioned, Jason and I want to James at your opinion on this too. It's a, it's a statement that we hear very often you need to do more with less in that situation. How does Disney navigate that? And a strategy that is cost effective while you're growing your public, your private cloud strategy? >>Uh huh automation, Right? Automate automation and self service. It really it's always comes back to, I know it's a buzzword, I know people go automate this, automate that you know, what are you automating if you look at just the investments we're making right now in the HP synergy line and having proposal infrastructure combined with pockets of three tier architecture as well as hyper converge. You are we're bringing a delivery model to application teams and business teams that they haven't that is just like public cloud, Right? But that they haven't seen before. So in order to manage massive scale, uh you you need to automate more and you need to automate more in order to make sure that you have self healing, right? So you can see you can look at things and understand things and see where you're having problems and try to predict them before they happen and increase your uptime and availability. I mean it all comes back to again, automation automation, automation uh >>James. Do you have the similar opinion when you talk with customers similar to the walt Disney company that are told we've got to do more but we've got less to work with is automation one of your key go to recommendations. >>Automation is at the center of everything that we're trying to achieve today, both on premise and in the public cloud. And hyper automation is really kind of where everybody is driving to the ability to be incredibly they are incredibly efficient um using infrastructure as code api driven and using all the tools to really automate that and make the seamless delivery of new products and services just that much quicker. And, and we've been focused on that, both not only from a technology and infrastructure standpoint, but also from a consulting and delivery standpoint. So we're able to really kind of meat all the different needs as it relates to automation, both in a private cloud, hybrid cloud or multi cloud scenario with all of the partnerships that we have across all the hyper scale hours. >>James sticking with you with that. Looking through that consultant lens, I want to get some thought leadership from you. What are some of the principles that you'd recommend for businesses that really are working hard to make their private cloud investment work as efficiently as possible for them? >>A lot of that comes down >>to >>consulting and understanding. So really kind of driving to what we referred to as the right mix, what is that right mix of hybrid cloud, private cloud um applications that have gravity that need to remain on premise and there's just no reason to move them. So, working with somebody and partnering with somebody that has the ability to be able to advise and consult in that capacity across the continuum of private public as well as Edge um is vitally important for people to consider as a part of their strategy. >>Jason Edge is absolutely in critical we're hearing about it more and more, especially as so much more data and machine data is generated there. I want to get your advice for the audience the same question that I asked James, what principles would you recommend for making the private cloud investment work as hard as possible? As efficiently as possible. >>I would say that, you know, it's gonna be a unique journey for every single company, but the number one advice is remember, right tool for the right job. Right, What is your application stack? What are the types of in that? What is the type of needs of the application owners? And when you start thinking about it, you start dissecting, Are you going to be investing more microservices? Can you go with more of a serverless, container based type of environment? Are you using shrink wrap software? You're gonna need more. I as right. It all comes down to the right tool for the right job. My father was an auto mechanic and I remember as a kid, he had 8000 tools and they say no, dad, why do you have five screwdrivers? To me? They all look the same right in the heart of mechanic because no, no, no, Jason you don't understand. It's the right tool for the right job. That was always his mantra. That would be my advice. >>I like that. I think my dad would have said the same thing, right tool for the right job. Absolutely critically important. So when we think about Disney, we know, generate a ton of data, how does the growth of the private cloud, Jason support that massive data growth? >>Well, as you can imagine, we have ebbs and flows in our data. There's times where we're taking a tremendous amount of data in and there's times where we're purging a tremendous amount of data for various different reasons. Right? So one of the beauties of private cloud and how it complements the public cloud is when you go to you think about data ingestion, right? And then storage and being able to efficiently can get it on premise and what not having the private cloud there to do those types of things to use more of those B I type of work clothes there, you're just Truncheon a bunch of data. Uh it's really nice to have the private cloud. So that way the application, he can add nodes at collectors of, you know, other other log aggregation type tools, right? Whatever the tool is, you know, being able to have the flexibility to add notes very quickly, just like they can in public cloud, public cloud but have it on premise so that you can do cost control and get the data in a more timely, more efficient manner. Again though, it comes down to the type of workload and what was best for that business. I would I would be remiss if I tried to sit here and tell you that all of our big data stuff were to only reside or only use on premise technology is of course it spans like I said, we've got hybrid cloud and multi cloud, so >>it kind of goes with the right tool for the right job. One more question for both of you and I want to go back to that thought leadership angle Jason when you are talking with peers of yours, what do you recommend that technology leaders look for when they're going to be partnering with a company on any type of cloud, initiative management or implementation project? >>I was a understand you understand the problem, trying to solve, understand the technology that you want to use and understand again, your application portfolio and perhaps because I'm insured services, a large company, I have a unique perspective of having to deal with very different problems at any given day on any given week. And you know, sometimes we forget about those, especially as technologists, we tend to forget that the decisions we make have wide and far reaching impact within our application stacks and within the individual businesses. And I think if if you uh look at what is my application stack, what are the types of technologies? How how is it going to be if you are doing just shrink wrap, then you probably shouldn't be investing in cloud technologies that are heavily focused on container ization. Right. If your custom developing applications, then your entire strategy should probably be focused on how do you build container farms? And if you're doing big data, you probably should bring deep use into the conversation with something nobody's talking about really yet. So, you know, Mhm >>Sounds like collaboration is really key. James the same question. Last question of our conversation. I'd love to get your perspective on what technology leaders should look for when you're talking with prospective customers when they're looking to partner for cloud implementation, growth management. What are some of those things that you say the technology leaders look for this? >>You really need to be working with people who understand your business that are passionate about your success and really having access to not only the advisory capabilities but the technology portfolio to help you realize all of your business and technology outcomes. And I think those are super important attributes that we HP can provide, you know, across the entire portfolio of technologies and services that most customers need to do. And I think that the business outcome, the business transformation is really key to what what the future holds for us. And having the visionary perspective of not only the customer but US in joint partnership allows for these great goals to be achieved. >>Its great goals in this business outcomes. Well, gentlemen, thank you for joining me on the program today. Talking to me about what Disney is doing with technology. How HP is supporting the Disney relationship. Jason and James. I appreciate your time. Thank >>you. Thank you lisa >>For Jason, Abrahamson and James Irvine. I'm Lisa Martin. You're watching the cubes coverage of HP Discover 2021. Uh huh. >>Yeah.
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Dr. Eng Lim Goh, HPE | HPE Discover 2021
>>Please >>welcome back to HPD discovered 2021. The cubes virtual coverage, continuous coverage of H P. S H. P. S. Annual customer event. My name is Dave Volonte and we're going to dive into the intersection of high performance computing data and AI with DR Eng limb go who is the senior vice president and CTO for AI Hewlett Packard enterprise Doctor go great to see you again. Welcome back to the cube. >>Hello Dave, Great to talk to you again. >>You might remember last year we talked a lot about swarm intelligence and how AI is evolving. Of course you hosted the day two keynotes here at discover and you talked about thriving in the age of insights and how to craft a data centric strategy. And you addressed you know some of the biggest problems I think organizations face with data that's You got a data is plentiful but insights they're harder to come by. And you really dug into some great examples in retail banking and medicine and health care and media. But stepping back a little bit with zoom out on discovered 21, what do you make of the events so far? And some of your big takeaways? >>Mm Well you started with the insightful question, Right? Yeah, data is everywhere then. But we like the insight. Right? That's also part of the reason why that's the main reason why you know Antonio on day one focused and talked about that. The fact that we are now in the age of insight, right? Uh and uh and and how to thrive thrive in that in this new age. What I then did on the day to kino following Antonio is to talk about the challenges that we need to overcome in order in order to thrive in this new asia. >>So maybe we could talk a little bit about some of the things that you took away in terms I'm specifically interested in some of the barriers to achieving insights when customers are drowning in data. What do you hear from customers? What we take away from some of the ones you talked about today? >>Oh, very pertinent question. Dave You know the two challenges I spoke about right now that we need to overcome in order to thrive in this new age. The first one is is the current challenge and that current challenge is uh you know stated is no barriers to insight. You know when we are awash with data. So that's a statement. Right? How to overcome those barriers. What are the barriers of these two insight when we are awash in data? Um I in the data keynote I spoke about three main things. Three main areas that received from customers. The first one, the first barrier is in many with many of our customers. A data is siloed. All right. You know, like in a big corporation you've got data siloed by sales, finance, engineering, manufacturing, and so on, uh supply chain and so on. And uh there's a major effort ongoing in many corporations to build a federation layer above all those silos so that when you build applications above they can be more intelligent. They can have access to all the different silos of data to get better intelligence and more intelligent applications built. So that was the that was the first barrier. We spoke about barriers to incite when we are washed with data. The second barrier is uh that we see amongst our customers is that uh data is raw and dispersed when they are stored and and uh and you know, it's tough to get tough to to get value out of them. Right? And I in that case I I used the example of uh you know the May 6 2010 event where the stock market dropped a trillion dollars in in tens of minutes. You know, we we all know those who are financially attuned with know about this uh incident, But this is not the only incident. There are many of them out there and for for that particular May six event, uh you know, it took a long time to get insight months. Yeah, before we for months we had no insight as to what happened, why it happened, right. Um, and and there were many other incidences like this and the regulators were looking for that one rule that could, that could mitigate many of these incidences. Um, one of our customers decided to take the hard road to go with the tough data right? Because data is rolling dispersed. So they went into all the different feeds of financial transaction information, took the took the tough took the tough road and analyze that data took a long time to assemble. And they discovered that there was quote stuffing right? That uh people were sending a lot of traits in and then cancelling them almost immediately. You have to manipulate the market. Um And why why why didn't we see it immediately? Well, the reason is the process reports that everybody sees the rule in there that says all trades, less than 100 shares don't need to report in there. And so what people did was sending a lot of less than 103 100 100 shares trades uh to fly under the radar to do this manipulation. So here is here the second barrier right? Data could be raw and dispersed. Um Sometimes you just have to take the hard road and um and to get insight And this is 1 1 great example. And then the last barrier is uh is has to do with sometimes when you start a project to to get insight to get uh to get answers and insight. You you realize that all the datas around you but you don't you don't seem to find the right ones to get what you need. You don't you don't seem to get the right ones. Yeah. Um here we have three quick examples of customers. 111 was it was a great example right? Where uh they were trying to build a language translator, a machine language translator between two languages. Right? By not do that. They need to get hundreds of millions of word pairs, you know, of one language compared uh with a corresponding other hundreds of millions of them. They say, well I'm going to get all these word pairs. Someone creative thought of a willing source. And you thought it was the United Nations, you see. So sometimes you think you don't have the right data with you, but there might be another source. And the willing one that could give you that data Right? The 2nd 1 has to do with uh there was uh the uh sometimes you you may just have to generate that data, interesting one. We had an autonomous car customer that collects all these data from their cars, right? Massive amounts of data, loss of sensors, collect loss of data. And uh, you know, but sometimes they don't have the data they need even after collection. For example, they may have collected the data with a car uh in in um in fine weather and collected the car driving on this highway in rain and also in stone, but never had the opportunity to collect the car in hill because that's a rare occurrence. So instead of waiting for a time where the car can dr inhale, they build a simulation you by having the car collector in snow and simulated him. So, these are some of the examples where we have customers working to overcome barriers, right? You have barriers that is associated the fact that data silo the Federated it various associated with data. That's tough to get that. They just took the hard road, right? And, and sometimes, thirdly, you just have to be creative to get the right data. You need, >>wow, I I'll tell you, I have about 100 questions based on what you just said. Uh, there's a great example, the flash crash. In fact, Michael Lewis wrote about this in his book The Flash Boys and essentially right. It was high frequency traders trying to front run the market and sending in small block trades trying to get on the front end it. So that's and they, and they chalked it up to a glitch like you said, for months. Nobody really knew what it was. So technology got us into this problem. I guess my question is, can technology help us get out of the problem? And that maybe is where AI fits in. >>Yes, yes. Uh, in fact, a lot of analytics, we went in to go back to the raw data that is highly dispersed from different sources, right, assemble them to see if you can find a material trend, right? You can see lots of trends, right? Like, uh, you know, we if if humans look at things right, we tend to see patterns in clouds, right? So sometimes you need to apply statistical analysis, um math to to be sure that what the model is seeing is is real. Right? And and that required work. That's one area. The second area is uh you know, when um uh there are times when you you just need to to go through that uh that tough approach to to find the answer. Now, the issue comes to mind now is is that humans put in the rules to decide what goes into a report that everybody sees. And in this case uh before the change in the rules. Right? But by the way, after the discovery, uh authorities change the rules and all all shares, all traits of different any sizes. It has to be reported. No. Yeah. Right. But the rule was applied uh you know, to say earlier that shares under 100 trades under 100 shares need not be reported. So sometimes you just have to understand that reports were decided by humans and and under for understandable reasons. I mean they probably didn't want that for various reasons not to put everything in there so that people could still read it uh in a reasonable amount of time. But uh we need to understand that rules were being put in by humans for the reports we read. And as such there are times you just need to go back to the raw data. >>I want to ask, >>it's gonna be tough. >>Yeah. So I want to ask a question about AI is obviously it's in your title and it's something you know a lot about but and I want to make a statement, you tell me if it's on point or off point. So it seems that most of the Ai going on in the enterprise is modeling data science applied to troves of data but but there's also a lot of ai going on in consumer whether it's you know, fingerprint technology or facial recognition or natural language processing will a two part question will the consumer market as has so often in the enterprise sort of inform us uh the first part and then will there be a shift from sort of modeling if you will to more you mentioned autonomous vehicles more ai influencing in real time. Especially with the edge you can help us understand that better. >>Yeah, it's a great question. Right. Uh there are three stages to just simplify, I mean, you know, it's probably more sophisticated than that but let's simplify three stages. All right. To to building an Ai system that ultimately can predict, make a prediction right or to to assist you in decision making, have an outcome. So you start with the data massive amounts of data that you have to decide what to feed the machine with. So you feed the machine with this massive chunk of data and the machine uh starts to evolve a model based on all the data is seeing. It starts to evolve right to the point that using a test set of data that you have separately kept a site that you know the answer for. Then you test the model uh you know after you trained it with all that data to see whether it's prediction accuracy is high enough and once you are satisfied with it, you you then deploy the model to make the decision and that's the influence. Right? So a lot of times depend on what what we are focusing on. We we um in data science are we working hard on assembling the right data to feed the machine with, That's the data preparation organization work. And then after which you build your models, you have to pick the right models for the decisions and prediction you wanted to make. You pick the right models and then you start feeding the data with it. Sometimes you you pick one model and the prediction isn't that robust, it is good but then it is not consistent right now. What you do is uh you try another model so sometimes it's just keep trying different models until you get the right kind. Yeah, that gives you a good robust decision making and prediction after which It is tested well Q eight. You would then take that model and deploy it at the edge. Yeah. And then at the edges is essentially just looking at new data, applying it to the model that you have trained and then that model will give you a prediction decision. Right? So uh it is these three stages. Yeah, but more and more uh your question reminds me that more and more people are thinking as the edge become more and more powerful. Can you also do learning at the edge? Right. That's the reason why we spoke about swarm learning the last time, learning at the edge as a swamp, right? Because maybe individually they may not have enough power to do so. But as a swamp they made >>is that learning from the edge? You're learning at the edge? In other words? >>Yes. >>Yeah, I understand the question. Yeah. >>That's a great question. That's a great question. Right? So uh the quick answer is learning at the edge, right? Uh and and also from the edge, but the main goal, right? The goal is to learn at the edge so that you don't have to move the data that the edge sees first back to the cloud or the core to do the learning because that would be the reason. One of the main reasons why you want to learn at the edge, right? Uh So so that you don't need to have to send all that data back and assemble it back from all the different Edge devices, assemble it back to the cloud side to to do the learning right. With someone you can learn it and keep the data at the edge and learn at that point. >>And then maybe only selectively send the autonomous vehicle example you gave us great because maybe there, you know, there may be only persisting, they're not persisting data that is inclement weather or when a deer runs across the front. And then maybe they they do that and then they send that smaller data set back and maybe that's where it's modelling done. But the rest can be done at the edges. It's a new world that's coming down. Let me ask you a question, is there a limit to what data should be collected and how it should be collected? >>That's a great question again, you know uh wow today, full of these uh insightful questions that actually touches on the second challenge. Right? How do we uh in order to thrive in this new age of insight? The second challenge is are you know the is our future challenge, right? What do we do for our future? And and in there is uh the statement we make is we have to focus on collecting data strategically for the future of our enterprise. And within that I talk about what to collect right? When to organize it when you collect and where will your data be, you know, going forward that you are collecting from? So what, when and where for the what data for the what data to collect? That? That was the question you ask. Um it's it's a question that different industries have to ask themselves because it will vary, right? Um Let me give you the, you use the autonomous car example, let me use that. And We have this customer collecting massive amounts of data. You know, we're talking about 10 petabytes a day from the fleet of their cars. And these are not production autonomous cars, right? These are training autonomous cars, collecting data so they can train and eventually deploy commercial cars. Right? Um, so this data collection cars they collect as a fleet of them collect 10 petabytes a day and when it came to us uh building a storage system yeah, to store all of that data, they realized they don't want to afford to store all of it. Now here comes the dilemma, right? Should what should I after I spent so much effort building all these cars and sensors and collecting data, I've now decide what to delete. That's a dilemma right now in working with them on this process of trimming down what they collected. You know, I'm constantly reminded of the sixties and seventies, right? To remind myself 16 seventies we call a large part of our D. N. A junk DNA. Today we realize that a large part of that what we call john has function as valuable function. They are not jeans, but they regulate the function of jeans, you know? So, so what's jumped in the yesterday could be valuable today or what's junk today could be valuable tomorrow. Right? So, so there's this tension going on right between you decided not wanting to afford to store everything that you can get your hands on. But on the other hand, you you know, you worry you you you ignore the wrong ones, right? You can see this tension in our customers, right? And it depends on industry here. Right? In health care, they say I have no choice. I I want it. All right. One very insightful point brought up by one health care provider that really touched me was, you know, we are not we don't only care. Of course we care a lot. We care a lot about the people we are caring for, right? But you also care for the people were not caring for. How do we find them? Mhm. Right. And that therefore they did not just need to collect data that is uh that they have with from their patients. They also need to reach out right to outside data so that they can figure out who they are not caring for. Right? So they want it all. So I tell us them. So what do you do with funding if you want it all? They say they have no choice but to figure out a way to fund it and perhaps monetization of what they have now is the way to come around and find out. Of course they also come back to us rightfully that, you know, we have to then work out a way to help them build that system, you know, so that health care, right? And and if you go to other industries like banking, they say they can't afford to keep them on, but they are regulated. Seems like healthcare, they are regulated as to uh privacy and such. Like so many examples different industries having different needs but different approaches to how what they collect. But there is this constant tension between um you perhaps deciding not wanting to fund all of that uh all that you can stall right on the other hand, you know, if you if you kind of don't want to afford it and decide not to store some uh if he does some become highly valuable in the future right? Don't worry. >>We can make some assumptions about the future, can't we? I mean, we know there's gonna be a lot more data than than we've ever seen before. We know that we know. Well notwithstanding supply constraints on things like nand, we know the prices of storage is gonna continue to decline. We also know and not a lot of people are really talking about this but the processing power but he says moore's law is dead. Okay, it's waning. But the processing power when you combine the Cpus and N. P. U. S. And Gpus and accelerators and and so forth actually is is increasing. And so when you think about these use cases at the edge, you're going to have much more processing power, you're going to have cheaper storage and it's going to be less expensive processing. And so as an ai practitioner, what can you do with that? >>So the amount of data that's gonna come in, it's gonna we exceed right? Our drop in storage costs are increasing computer power. Right? So what's the answer? Right? So so the the answer must be knowing that we don't and and even the drop in price and increase in bandwidth, it will overwhelm the increased five G will overwhelm five G. Right? Given amount 55 billion of them collecting. Right? So the answer must be that there might need to be a balance between you needing to bring all that data from the 55 billion devices data back to a central as a bunch of central. Cause because you may not be able to afford to do that firstly band with even with five G. M and and SD when you'll still be too expensive given the number of devices out there, Were you given storage costs dropping? You'll still be too expensive to try and store them all. So the answer must be to start at least to mitigate the problem to some leave both a lot of the data out there. Right? And only send back the pertinent ones as you said before. But then if you did that, then how are we gonna do machine learning at the core and the cloud side? If you don't have all the data, you want rich data to train with. Right? Some sometimes you wanna mix of the uh positive type data and the negative type data so you can train the machine in a more balanced way. So the answer must be eventually right. As we move forward with these huge number of devices out of the edge to do machine learning at the edge today, we don't have enough power. Right? The edge typically is characterized by a lower uh energy capability and therefore lower compute power. But soon, you know, even with lower energy they can do more with compute power, improving in energy efficiency, Right? Uh So learning at the edge today we do influence at the edge. So we data model deploy and you do in France at the age, that's what we do today. But more and more I believe given a massive amount of data at the edge, you, you have to have to start doing machine learning at the edge and, and if when you don't have enough power then you aggregate multiple devices, compute power into a swamp and learn as a swan. >>Oh, interesting. So now of course, if, if I were sitting and fly, fly on the wall in hp board meeting, I said okay. HB is as a leading provider of compute how do you take advantage of that? I mean we're going, we're, I know its future, but you must be thinking about that and participating in those markets. I know today you are, you have, you know, edge line and other products. But there's, it seems to me that it's, it's not the general purpose that we've known in the past. It's a new type of specialized computing. How are you thinking about participating in that >>opportunity for the customers? The world will have to have a balance right? Where today the default? Well, the more common mode is to collect the data from the edge and train at uh at some centralized location or a number of centralized location um going forward. Given the proliferation of the edge devices, we'll need a balance. We need both. We need capability at the cloud side. Right? And it has to be hybrid and then we need capability on the edge side. Yeah. That they want to build systems that that on one hand, uh is uh edge adapted, right? Meaning the environmentally adapted because the edge different. They are on a lot of times. On the outside. Uh They need to be packaging adapted and also power adapted, right? Because typically many of these devices are battery power. Right? Um, so you have to build systems that adapt to it. But at the same time they must not be custom. That's my belief. They must be using standard processes and standard operating system so that they can run a rich set of applications. So yes. Um that's that's also the insightful for that Antonio announced in 2018 Uh the next four years from 2018, right $4 billion dollars invested to strengthen our edge portfolio. Edge product lines, Right. Edge solutions. >>I can doctor go, I could go on for hours with you. You're you're just such a great guest. Let's close. What are you most excited about in the future? Of of of it. Certainly H. P. E. But the industry in general. >>Yeah. I think the excitement is uh the customers, right? The diversity of customers and and the diversity in a way they have approached their different problems with data strategy. So the excitement is around data strategy, right? Just like you know uh you know, the the statement made was was so was profound, right? Um And Antonio said we are in the age of insight powered by data. That's the first line, right. Uh The line that comes after that is as such were becoming more and more data centric with data, the currency. Now the next step is even more profound. That is um You know, we are going as far as saying that you know um data should not be treated as cost anymore. No. Right. But instead as an investment in a new asset class called data with value on our balance sheet, this is a this is a step change right? In thinking that is going to change the way we look at data, the way we value it. So that's a statement that this is the exciting thing because because for for me, a city of Ai right uh machine is only as intelligent as the data you feed it with data is a source of the machine learning to be intelligent. So, so that's that's why when when people start to value data, right? And and and say that it is an investment when we collect it, it is very positive for AI because an AI system gets intelligent, get more intelligence because it has a huge amounts of data and the diversity of data. So it would be great if the community values values data. Well, >>you certainly see it in the valuations of many companies these days. Um and I think increasingly you see it on the income statement, you know, data products and people monetizing data services and maybe eventually you'll see it in the in the balance. You know, Doug Laney, when he was a gardener group wrote a book about this and a lot of people are thinking about it. That's a big change, isn't it? Dr >>yeah. Question is is the process and methods evaluation right. But I believe we'll get there, we need to get started and then we'll get there. Believe >>doctor goes on >>pleasure. And yeah. And then the Yeah, I will well benefit greatly from it. >>Oh yeah, no doubt people will better understand how to align you know, some of these technology investments, Doctor goes great to see you again. Thanks so much for coming back in the cube. It's been a real pleasure. >>Yes. A system. It's only as smart as the data you feed it with. >>Excellent. We'll leave it there, thank you for spending some time with us and keep it right there for more great interviews from HP discover 21 this is Dave Volonte for the cube. The leader in enterprise tech coverage right back
SUMMARY :
Hewlett Packard enterprise Doctor go great to see you again. And you addressed you That's also part of the reason why that's the main reason why you know Antonio on day one So maybe we could talk a little bit about some of the things that you The first one is is the current challenge and that current challenge is uh you know stated So that's and they, and they chalked it up to a glitch like you said, is is that humans put in the rules to decide what goes into So it seems that most of the Ai going on in the enterprise is modeling It starts to evolve right to the point that using a test set of data that you have Yeah. The goal is to learn at the edge so that you don't have to move And then maybe only selectively send the autonomous vehicle example you gave us great because But on the other hand, you you know, you worry you you you But the processing power when you combine the Cpus and N. that there might need to be a balance between you needing to bring all that data from the I know today you are, you have, you know, edge line and other products. Um, so you have to build systems that adapt to it. What are you most excited about in the future? machine is only as intelligent as the data you feed it with data Um and I think increasingly you see it on the income statement, you know, data products and people Question is is the process and methods evaluation right. And then the Yeah, I will well benefit greatly from it. Doctor goes great to see you again. It's only as smart as the data you feed it with. We'll leave it there, thank you for spending some time with us and keep it right there for more great interviews
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David Harvey, Veeam | HPE Discover 2021
>>mm >>Welcome back to HPD discovered 2021. The virtual version of the show. My name is Dave valentin. You're watching the cube we're here with David Harvey is the vice president of strategic alliances at VM. David. Good to see you. How you doing? >>I'm well thanks David yourself you've been good, >>yep. Doing great thank you. Hey you've heard the term follow the money, we're gonna follow the data. How >>about right >>So HP and wien you're celebrating a 10 year milestone in your alliance. That's a lot of good parties at at the HP discover shows. And uh of course we miss miss being face to face this year but next year we'll be back rocket but uh talk a little bit about what that milestone means to you. >>Yeah Thanks. Dave. And you're right. It is a milestone. I mean when you look at alliances or partnerships overall, it's crazy that you can maintain this depth of partnership is depth of relationship and this success for 10 years. I mean H. P. Was our number one alliance that we started working with when we started being X Number of years ago. Um and the reason for that was that we really came together from the very start with a philosophy about the approach we wanted to provide to the customer and also the synergy of technology. Um and 10 years is a long time. I mean how many alliances that you've seen in the industry Um that have managed to maintain for 10 years and we're stronger than ever as we come into this point and that's amazing. So from that point of view we're really excited for this 10 year milestone. We're really pleased that the investment from both sides as maintained and grown through that time period. Um And as you said it's a shame we're not doing this in person but this is a great event for us and that's why we're so proud to be top sponsor this year and supporting the charge for this government. >>Well, congratulations on that milestone immunity. So often when I talk to folks that are in your role, they'll complain and yeah, we do it. We have a lot of numbers, but not a lot of hard y and not a lot of fruitful partnerships and they'll do barney deals. I love you, you love me, you will do a press release but it's not driving and I happen to know that the HPV in relationship is very productive and I think, you know, one of the key moves when when HP split itself into it took its competitive data protective product that sold that off and then that just opened up a whole new opportunity for the relationships. It was a game changer. So but looking back, what do you think was the meaningful sort of investment that the alliance has really made together? >>Yeah, great question. And it's a really cheesy answer, but it's it's one of those very rare scenarios, where is the truth and his death? You know, the depth of discussion from the very start was really what built that foundation, We were the launch back up part of the three part, um, and every release team has done since then has had a key HP component to it. And more importantly, as you said as HP has evolved through that period, the divestiture and the overall movement of their portfolio. We've continued to listen to each other on what is important to both parties. But while that's great from the relationship and the alliance, the one thing that's never changed is the response of the customer to saying, not only have you integrated together on technology, you've unified your message, you provide a supply chain that is meaningful to my business by simplifying and providing value and you continue to evolve. You continue to adjust and move as you've gone through the time period in our needs have changed. I mean we started with servers, we worked with storage, we're with green labour? S moral like all across that portfolio. We found a way to continue to listen to each other and what's important and that's been killed. >>So what are the waves that you're you're surfing here, You put on the binoculars and look forward what are going to be the most important areas that you guys invest in and focus on in the future? >>Yeah. Great question. I mean we're focused on three things for the for the medium to short term here and looking at there is rapidly recovering your data. You know, the news at the moment is exploding related to issues companies are having, which is so unfortunate and recovering data quickly. It's an economic component is not just about the ability to do it fast, it's about the fact that the quicker you bring data back in this circumstance where you have to, the better it is for your bottom line. We also simplify that data protection. And the reason for that is that if you look at the diversity of the portfolio, HP has you want unification regardless of what products you're buying from HP, you want to make sure that you're working with solutions that work with all of those different parts of it. As I mentioned, service storage as moral Green Lake et cetera. And so that simplification of data protection is huge. And finally it's getting your data protection as a service. We've been working with Green Lake for a good number of years now and it's one of the fastest growing areas of our partnership. But if you bring those three things together, the customers are deciding that modern data protection needs, that they have, they're looking at the hybrid world, they're looking at all parts of the portfolio from the thought leaders, they work with specifically HP and they're wanting to make sure that they've got that unification moving forward and that whatever decisions they make with the infrastructure, the underlying protection of their data continues to be a core component that they can evolve with as they move their needs forward. >>We'll talk about that speedy recovery. There's so much in the news today, we're seeing all this, all this ransomware. I mean it's bringing down organizations, it's affecting supply chains all over the world very concerning. And there's two dimensions here. One is the speed to recover. We can all relate when, you know, when your laptop freezes like, oh, I gotta reboot and it takes five minutes and you're frustrated. Imagine your whole business, you know, it takes half a day to recover. That's huge. The other dimension, of course, is how much data you you lose in that recovery and you try to compress that RP. Oh right. Is as tight as possible. And that's the other sort of value that that customers look for from a combination of HPV and VM. So, but I want to ask you, so we're here at HP covering HP discover you can't talk about hB without getting a kool aid injection of Green Lake and as a service. And how are you guys sort of addressing those as a service needs for today's customers? >>Yeah, it's a great question. And by the way kudos, you can be a salesperson force with our pos and all those keywords. I love it. But what I would say overall is that when you look at the changing way customers are spending, um it depends on where they're structuring their financial desires, whether it's the Capex world, the optics world etcetera. And Green Led by its nature allows you to look at having the control of a physical component. But having the economic structure of in some respects pay as you go when you look at it in that component. And so you're avoiding that capital investment concern. But you're getting the power and the strength of the management component as well. And that's what's really important. I mean when you look at overall movement, Yes, you did a really interesting report recently and they're saying that spending on data center protection is going to grow 50% this year in 2021. Looking at improving that level of key component for their data centers as they go through that modernization. And so from that point of view, what we're seeing and this is applicable for HP more than anybody else. Is that the speed that they came out with the Green Lake a number of years ago allowed customers, especially the big enterprises, we're having a massive amount of success together, enabled them to decide the economic buying model that they wanted and to combine that with the best of breed service and management and control. So from our point of view, you know, that's something we've been investing within a long period of time now, not only on the solutions but also on how we go to market together. Our field team is working very closely with their field team within Green Lake to be there so that the customer can utilize it as a tool and not feel like they're having a different conversation because we're so baked in with the rest of the organization. So from our point of view, Green Lake is key to how things are moving forward and other things that the storage departments doing as well as they look at some of their new ways with their announcements we've, they've recently made with buying down on demand and new products they're having. So it's allowing the customer to have that choice and from us, it forms a core component of how we're working together. However you decide you want to consume the HP portfolio. You should have the ability for us to seamlessly work with it. And to your point, that's why that growth rate on our oi but more importantly on the revenue and the amount of growth of our customers year over year have really embraced that synchronization together. >>David, I think of your thoughts on containers. Generally I want to I want to talk about the cast and acquisition specifically but I want to ask about it in the context of the two things. One is just kind of the overall where you see that going and and how you're working with H. P. E. On that. But the other is as it relates to two of the most vexing problems for I. T. Folks in the past have been been security and data protection and their their their adjacency is you're not a security company but it's a kind of a cousin if you will. And and both of those areas have always been an afterthought after you get snake bitten, you close the barn door kind of thing and it's a bolt on. Okay. I got my application it's all hard and I got my database and ready to go, oh hey how do we back this thing up as an afterthought when I think containers and and and I think kubernetes I think developers I think infrastructure as code and now you're designing in security and data protection focusing on the ladder obviously. How does the cast and acquisition and what H. P. S doing on containers fit into that context and how do you see it evolving overall? >>Yeah that's a great question and there's two pastoring. I mean if you look at the way that HP moves to market and you look at the themes and the focus they've had now for the last three plus years with regard to that data center transformation and the movement and modernization of it. This has been a part of it But as you exactly said, this is a new type of context point has come in. Obviously we acquired casting as you alluded to early in 2020 because for us we absolutely believe that this is a core component righty. And you raised the point perfectly there Dave it used to be a component after you're snakebit, it's not today. I mean you alluded to it with regard to what's going on in the news over the last few weeks or so. It's nowhere near an afterthought Now it's a component that's built in from the start and that's why when you look at some of those studies about the spend in this area overall it isn't an afterthought anymore but I agree with you, it was when you look back a number of years and so for us casting build a very key area of our portfolio but it also allowed us with HP to double down on another area of investment for themselves. Esmeralda is a key play for HP moving forward. You can get casting on the Admiral marketplace and that's another example, as I was saying, it doesn't matter how you keep evolving your relationship with HP, how you keep drawing down from the portfolio, you want to make sure that the data protection, you've got the simplified data protection across all of these areas, is there from the start? And what we're finding is with Greenfield sites, with new applications with new deployments where containers kubernetes really comes into play. They are looking to buy it together at the start so that they can focus on learning, acquiring deploying and really maximizing the benefit of kubernetes and not worry about that snakebite component you talked about. So for us, you know, it supports our portfolio and it allows us to stay with HP as they continue to evolve their strategy. >>That SG Stat of 50% growth in data protection is pretty amazing and it's funny, I think back to the insight acquisition uh VM and you know, conventional wisdom would have said, oh wow, what a bummer. They bought this thing right before a global pandemic in an economic downturn. It's but in this, in your businesses like real estate with pre pandemic post pandemic evaluation should be skyrocketing is as a function of of the heightened focus on digital and security and data protection. So it's really an exciting time. Um if I were to ask you this question 10 years ago where where HP envy emceeing joint success in the marketplace? It would have been, well of course, virtualization, it's all the >>rage. Where >>are you seeing success today? >>And that's a great question and it's interesting you talk about it with the pandemic. I'll be honest, the last recession us that I was in the digital messaging market and at that point when economies get tight, everybody invest in cheaper types of marketing, which is digital messaging. Now we've got a pandemic and guess what, everybody is looking at this area of the market again with protection. And I think to your point, it's a great Russian. What we're finding is the word hybrid and it's it's a well overplayed term, but it's reality of the scenario. You know, we came through and started our journey of being here in the virtual world, but we moved into the physical and that's where we've been having so much success with HP as well. And now as we move towards that cloud world, um and to a degree, the application world with office 365 etcetera, what you're seeing is that hybrid need. We're seeing that the large enterprises that have relied on HP for so many years are also looking for that ubiquitous data protection layer. And because we have it so well baked into all the different parts of the portfolio, it's a seamless ability to just continue to exp fan utilization of the portfolio. So from our point of view, we're seeing fantastic against bright success. We're seeing it in some of these verticals like medical, like financial, the big corcoran pillars of society is related to the economic and industrial models. We're seeing those areas come on board, but we're also seeing people look at what I would classify as some of the Greenfield projects and that's a different viewpoint because if you look back at the history of HP as well, they were fantastic provider for the foundation of the core business. Now, what we're finding is that coming to HP envy and saying, hey, new areas Greenfield want to start fresh with a new approach, less of the legacy concern I've had before. How can we look at these new projects I'm working on. So we're seeing in the enterprise, we're seeing in what I would classify as traditional type of verticals and now we're starting to see that acceleration in some of these Greenfield projects, which is key. And that's something we've really, really enjoyed. And last part I'd say on that one as well is from a geographic basis. We are seeing all of our regions come up. Um, and the reason why that's important is sometimes you see alliances that have success in one market or one area, We're seeing the year over year growth in a mere be faster than we've ever seen. We're seeing are America's growth growth year over year and Asia is continuing to explode for us together. And so from that point of view, I think what that's telling us is that the customers resonate on what we're producing together. And so from that point of view, we're very ubiquitous in our level of value to customers and we're hoping to carry that on moving forward. >>Well, it's two trusted brands. Obviously, you know, the Hewlett Packard enterprise name and that stands out and is no longer start up with a funny name is >>you're proven >>In the marketplace, you just had a major release. I think it was V- 11. I'm not great the greatest products but um, earlier this year, wondering how that impacted the alliance? Was that fit? >>Yeah. Great question. And to your point, some people still have trouble with the name, but overall you're right, we do tend to find that we're in a good spot nowadays with regards to recognition and I D. C. Just released some fantastic statistics on growth and another record breaking year for being both from the sequential growth and the year over year growth for the second half of 2020. Moving us up into the number two position for the first time, which again, is a testament to the success were also having with HP and when you look at what happened on V 11, because as I mentioned at the start of this discussion, every one of our major releases has had HPV baked into it. And V 11 was a big release for us. There was a lot of pent up development work we were trying to get done and what we focused on with this again, especially for the enterprise, was looking at the HP portfolio and looking at faster speeds, faster speeds, have an economic value. We increased our speed and performance with HP primera, we increase it with HP nimble. We also made a really significant when we're working with HP store. Once we did a lot of evolution on that for a huge space savings, which together really values the customer and then finally where we've also found the customers asked for a lot of development from us together is consolidated with an all in one backup type of approach with the HP Apollo series. So from that point of view, we focused on the experience of the customer because the integrations are so solid. We're now fine tuning to increase that ri for the customer and V 11 was a big component of that, what I >>love about Wien David. So I used to be an I. D. C. For years and you just mentioned that the study that came out and you're number two and >>I've been talking a lot of your >>executives recently, you've, you've, you've thrown out that stand a lot number two. Number two. But, but when I was in to see everybody wanted to be number one at something, so you could say, oh, hey, we're number one backup company with the green logo. Hey, we're number one, >>but you're not >>doing that. And I'm joking about the green logo, but you actually are the number one. I think I'm correct in saying this, the number one pure play and back up in data protection and you don't, you don't stand up on that mantle. And I was asking some executives why? And you're like, well, no, because we want to be number one, that's what, that's our objective. You know, we're not gonna claim number one now until we get to number one and we'll claim real number one. So I like that about you guys. You, you set the mark the mark high. But so I love that. Um, >>I appreciate it. Yeah. How should >>people be thinking about the future of your relationship with HP the rest of this year and beyond? >>Yeah, great question. And I do really do appreciate that comment because it's an easy one to sort of pick up on it. And it comes down to the attitude. It comes down to our attitude with regards to there's nothing wrong with fight. There's nothing wrong with making sure you continue to have a north star that you never want to stop getting too. And I think that's a testament to the development of the products and, and overall our attitude to working in the field and working with our alliances. And when you look about, when you ask the question, excuse me. Dave about, you know, where do we see the HP envy moving forward, consistency, consistency is key for us for 10 years. We've been consistent in providing value And we want to continue doing that for another 10 years moving forward. And as we evolve our portfolio and you look at our Act two and as you talked about some of the things you talk to are the executives about. When you look at, we're moving forward, we're doing that in conjunction and we believe as you move forward with regards to some of the things HPR Do we want that consistency of integration? We want that consistency of experience to the customer. We want that consistency of listening and developing our engineering resources together to address that need. And again, it sounds like a really obvious answer and it is, but the difference on the back of this one, to be honest with you, Davis, we proved this again and again and again. And as you look at the Truman data protection solution and you do it in conjunction with HP, it's one of those things where we're so proud to make sure we keep working hard together and pushing each other to be better for our customers, that we're really excited about how it moves forwards. Were also, and again, we're not going into any juicy secrets here, but I wouldn't be surprised if V 12 that comes here in the, in the future also has another little nice street related to HPV as well. So from that point of view, um, you should have consistency, you should have trust and you should be excited about the fact that the investment and the joint alliance is stronger than it's ever been. >>Well, you guys are setting the marks, uh, certainly the competitive landscape gets tougher and tougher, but you guys are, are leading, you're moving fast, you get a great product to move at the speed, the speed you're, you are and growing at the pace you are for a billion dollar company is impressive. So congratulations on that and you're not done yet. So thanks >>for, thanks for that. We're excited about discover here. This is again, another, I think this is almost the ninth plus year. We've been been a strong sponsor of it. We're excited about H. P. S future as well here together. Um, and hey, we do this together. So we're great to see it moving forward, >>David, Great to see you again. Thanks so much. >>Thanks so much. Dave as always appreciate the time. >>Thank you for being with us. For HP. You discover 2021, the virtual edition. You're watching the Cube, the leader in digital tech coverage. >>Mm.
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How you doing? we're gonna follow the data. That's a lot of good parties at at the HP discover I mean when you look at alliances or So but looking back, what do you think was the meaningful sort of And more importantly, as you said as HP has evolved through that period, And the reason for that is that if you look at the diversity of the portfolio, And how are you guys sort of addressing those as And by the way kudos, you can be a salesperson force with our pos and all but it's a kind of a cousin if you will. that's built in from the start and that's why when you look at some of those studies about the spend in VM and you know, conventional wisdom would have said, oh wow, what a bummer. Um, and the reason why that's important is sometimes you see alliances that have success in one market Obviously, you know, the Hewlett Packard enterprise name and that stands In the marketplace, you just had a major release. is a testament to the success were also having with HP and when you look at what happened on V 11, So I used to be an I. D. C. For years and you just mentioned that the study but when I was in to see everybody wanted to be number one at something, so you could say, And I'm joking about the green logo, but you actually are the number one. I appreciate it. And as you look at the Truman data protection solution and you do it in conjunction tougher and tougher, but you guys are, are leading, you're moving fast, you get a great product to move So we're great to see it moving forward, David, Great to see you again. Dave as always appreciate the time. Thank you for being with us.
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Aileen Black, Collibra and Marco Temaner, U.S. Army | AWS PS Partner Awards 2021
>>Mhm. Yes one. >>Hello and welcome. Today's session of the 2021 AWS Global Public Sector Partner Awards. I am pleased to introduce our very next guests. Their names are a lean black S. V. P. Public sector at culebra and Marco Timon are Chief Enterprise Architect at the HQ. D. A. Office of business transformation at the U. S. Army. I'm your host Natalie ehrlich, we're going to be discussing the award for best partner transformation. Best data led migration. Thank you both for joining the program. >>Thank you for having us. >>Thank you. Glad to be here. >>Well, a lien, why is it important to have a data driven migration? >>You know, migrations to the cloud that are simply just a lift and ship does take advantage of the elasticity of the cloud but not really about how to innovate and leverage what truly the AWS cloud has to offer. Um so a data led migration allows agencies to truly innovate and really kind of almost reimagine how they make their mission objectives and how they leverage the cloud, you know, the government has, let's face it mountains of data, right? I mean every single day there's more and more data and you you can't pick up a trade magazine that doesn't talk about how data is the new currency or data is the new oil. Um, so you know, data to have value has to be usable, right? So you to turn your data into knowledge. You really need to have a robust data intelligence platform which allows agencies to find understand and trust or data data intelligence platform like culebra is the system of record for their data no matter where it may reside. Um no strategy is complete without a strong data, governments platform and security and privacy baked in from the very start, data has to be accessible to the average data. Citizen people need to be able to better collaborate to make data driven decisions. Organizations need to be united by data. This is how a technology and platform like cal Ibra really allows agencies to leverage the data as a strategic asset. >>Terrific. Well, why is it more important than ever to do this than ever before? >>Well, you know, there's just the innovation of technology like Ai and Ml truly to be truly leveraged. Um you know, they need to be able to have trust the data that they're using it. If it if the model is trained with only a small set of data, um it's not going to really produce the trusted results they want. ML models deliver faster results at scale, but the results can be only precise when data feeding them is of high quality. And let's say Gardner just came out with a study that said data quality is the number one obstacle for adoption of A. I. Um when good data and good models find a unified scalable platform with superior collaboration capabilities, you're A I. M. L. Opportunities to truly be leveraged and you can truly leverage data as a strategic asset. >>Terrific. Well marco what does the future look like for the army and data >>so and let me play off. Do you think that Allen said so in terms of the future um obviously data's uh as you mentioned the data volumes are growing enormously so. Part of the future has to do with dealing with those data volumes just from a straight >>technological >>perspective. But as the data volumes grow and as we have to react to things that we need to react to the military, we're not just trying to understand the quantity of data but what it is and not just the quality but the nature of it. So understanding authoritative nous. Being able to identify what data we need to solve certain problems or answer certain questions. I mean a major theme in terms of what we're doing with data governance and having a data governance platform and a data catalog is having immediate knowledge of what data is, where what quality and confidence we have in the data. Sometimes it's more important to have data that's approximately correct than truly correct as quickly as possible, you know. So not all data needs to be of perfect quality at all times you need to understand what's authoritative, what the quality is, how current the information is. So as the data volumes grow and grow and grow. Keeping up with that. Not just from the standpoint of can we scale we know how to scale pretty well in terms of containing data volume but keeping up what it is, the knowledge of the data itself, understand authoritative nous quality, providence etcetera, uh that's a whole enterprise to keep keeping up with and that's what we're doing right now with this, with this project. >>Yeah. And I'd like to also follow up with that, how has leveraging palabras data intelligence platform enabled the army to accelerate its overall mission. >>So there's uh there's sort of interplay between, you know, just having a technology does something doesn't mean you're going to use it to do that something, but often having a place to do work of governance, work of knowledge management can be the precipitating functions or the stimulus to do so. So it's not and if you build it they will come. But if you don't have a place to play ball, you're not going to play ball to kind of run with that metaphor. So having technology that can do these things is a precursor to being able to. But then of course we, as an organization have to do it. So the interplay between making a selection of technology and doing the implementation from a technical perspective that plays off of an urgency, we've made the decision to use a technology, so then that helped accelerate getting roles, responsibilities of our ceo of our missionary data. Officers of data Stewart's the folks that have to be doing the work. Um, when you educate system owners in cataloging and giving a central environment, the information is needed. If you say here's a place to put it, then it's very tangible, especially in the military where work is done in a very uh, concrete task based way. If you have a place to do things, then it's easier to tell people to do things. So the technology is great and works for us. But the choice to to move with the technology has then been a productive interplay with with the doing of the things that need to be done to take advantage of the technology, if that makes >>sense? Well, >>yeah, that's really great to hear. I mean, speaking of taking advantage of the technology, a lien can collaborate, help your other public sector customers take advantage of A. I and machine learning. >>Well, people need to be able to collaborate and take advantage of their most strategic asset data to make those data driven decisions. It gives them the agility to be able to act 2020 was a great lesson around the importance of having your data house in order. Let's face it, the pandemic, we watched organizations that, you know, had a strong data governance framework who had looked at and understood where their data were and they were very able to very quickly assess the situation in react and others were not in such a good situation. So, you know, being able to have that data governance framework, being able to have that data quality, being able to have the right information and being able to trust it allows people to be effective and quickly to react to situations >>fascinating. Um do you have any insight on that marco, would you like to weigh in? >>Well, definitely concur. Um I think our strategy, like I said has been to um use the technology to highlight the need to put governance into place and to focus on increasing data quality the data sources. And I would say this has also helped us uh I mean things that we weren't doing before that have to do with just educating the populace, you know all the way from the folks operators of systems to the most senior executives. Being conversant in the principles that we're talking about this whole discipline is a bit arcane and kind of back office and kind of I. T. But it's actually not. If you don't have the data to make, if you don't know where to get the data to make a decision then you're going to make a decision based on incorrect data and and you know that's pretty important in the military to not get wrong. So definitely concur and we're taking that approach as well. >>I'd like to take it one step further. If if you're speaking the same language then so if you have an understanding what the data governments framework is you can understand what the data is, where it is. Sometimes there's duplicate data and there's duplicate data for a reason, but understanding where it came from and what the linage is associated with, it really gives you the power of being able to shop for data and get the right information at the right time and give it the right perspective. And I think that's the power of what has laid the foundation for the work that the army and MArco has done to really set the stage for what they can do in the future. >>Terrific and marco, if you could comment a little bit about data storage ship and how it can positively dry future outcomes. >>Yeah, So um data stewardship for us um has a lot to do with the functional, so the people that were signing as a senior data Stewart's are the senior functional in the respective organizations, logistics, financial management, training, readiness, etcetera. So the idea of the folks who know really everything about those functional domains, um looking at things from the perspective of the data that's needed to support those functions, logistics, human resources, etcetera. Um and being, you know, call it the the most authoritative subject matter experts. So the governance that we're doing is coming much more from a functional perspective than a technical perspective, so that when a when a system is being built, if we're talking about data migration, if we're talking about somebody driving analytics, the knowledge that were associated with the data comes from the functional. So our data stewardship is less about the technical side and more about making sure that the understanding from functional perspective of what the data is for, what the provenance is, not from a technical perspective, but what it means in terms of sources of information, sources of personnel, sources of munitions et cetera um is available to the folks using it. So they basically know what it is. So the emphasis is on that functional infusion of knowledge into the metadata so that then people who are trying to use that day to have a way of understanding what it really is and what the meaning is. And that's what really what data stewardship means from were actually very good at stewarding data. From a technical perspective. We know how to run systems very well. We know how to scale, We're good at that, but making sure that people know what it is and why and when to use it. Um that's where it's maybe we have some catching up to do, which is what this efforts about. >>Terrific. Well, fantastic insights from you both. I really appreciate you taking the time uh to tell all our viewers about this. That was Eileen Black and Marco Timoner and that, of course, was our section for the AWS Global Public Partner Sector Awards. Thanks for watching. I'm your host, Natalie Early. Thank you. >>Yeah. Mm.
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I am pleased to introduce our very next guests. Glad to be here. the elasticity of the cloud but not really about how to innovate and leverage Well, why is it more important than ever to do this than ever before? Um you know, they need to be able to have Well marco what does the future look like for the army and data Part of the future has to do with dealing with those data volumes just from a straight needs to be of perfect quality at all times you need to understand what's authoritative, enabled the army to accelerate its overall mission. doing of the things that need to be done to take advantage of the technology, if that makes I mean, speaking of taking advantage of the technology, Well, people need to be able to collaborate and take advantage of their most strategic asset Um do you have any insight on that marco, would you like to weigh in? that have to do with just educating the populace, you know all the way from the folks operators of systems from and what the linage is associated with, it really gives you the power of being able to shop for data Terrific and marco, if you could comment a little bit about data storage ship and the perspective of the data that's needed to support those functions, logistics, human resources, I really appreciate you taking the time uh to
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Dr Eng Lim Goh, High Performance Computing & AI | HPE Discover 2021
>>Welcome back to HPD discovered 2021 the cubes virtual coverage, continuous coverage of H P. S H. P. S. Annual customer event. My name is Dave Volonte and we're going to dive into the intersection of high performance computing data and AI with DR Eng limb go who is the senior vice president and CTO for AI at Hewlett Packard enterprise Doctor go great to see you again. Welcome back to the cube. >>Hello Dave, Great to talk to you again. >>You might remember last year we talked a lot about swarm intelligence and how AI is evolving. Of course you hosted the day two keynotes here at discover you talked about thriving in the age of insights and how to craft a data centric strategy and you addressed you know some of the biggest problems I think organizations face with data that's You got a data is plentiful but insights they're harder to come by. And you really dug into some great examples in retail banking and medicine and health care and media. But stepping back a little bit with zoom out on discovered 21, what do you make of the events so far? And some of your big takeaways? >>Mm Well you started with the insightful question, right? Yeah. Data is everywhere then. But we like the insight. Right? That's also part of the reason why that's the main reason why you know Antonio on day one focused and talked about that. The fact that we are now in the age of insight. Right? Uh and and uh and and how to thrive thrive in that in this new age. What I then did on the day to kino following Antonio is to talk about the challenges that we need to overcome in order in order to thrive in this new age. >>So maybe we could talk a little bit about some of the things that you took away in terms I'm specifically interested in some of the barriers to achieving insights when you know customers are drowning in data. What do you hear from customers? What we take away from some of the ones you talked about today? >>Oh, very pertinent question. Dave you know the two challenges I spoke about right now that we need to overcome in order to thrive in this new age. The first one is is the current challenge and that current challenge is uh you know stated is you know, barriers to insight, you know when we are awash with data. So that's a statement right? How to overcome those barriers. What are the barriers of these two insight when we are awash in data? Um I in the data keynote I spoke about three main things. Three main areas that received from customers. The first one, the first barrier is in many with many of our customers. A data is siloed. All right. You know, like in a big corporation you've got data siloed by sales, finance, engineering, manufacturing, and so on, uh supply chain and so on. And uh, there's a major effort ongoing in many corporations to build a federation layer above all those silos so that when you build applications above they can be more intelligent. They can have access to all the different silos of data to get better intelligence and more intelligent applications built. So that was the that was the first barrier we spoke about barriers to incite when we are washed with data. The second barrier is uh, that we see amongst our customers is that uh data is raw and dispersed when they are stored and and uh and you know, it's tough to get tough to to get value out of them. Right? And I in that case I I used the example of uh you know the May 6 2010 event where the stock market dropped a trillion dollars in in tens of ministerial. We we all know those who are financially attuned with know about this uh incident But this is not the only incident. There are many of them out there and for for that particular May six event uh you know, it took a long time to get insight months. Yeah before we for months we had no insight as to what happened, why it happened, right. Um and and there were many other incidences like this. And the regulators were looking for that one rule that could, that could mitigate many of these incidences. Um one of our customers decided to take the hard road go with the tough data right? Because data is rolling dispersed. So they went into all the different feeds of financial transaction information. Uh took the took the tough uh took the tough road and analyze that data took a long time to assemble and they discovered that there was court stuffing right? That uh people were sending a lot of traits in and then cancelling them almost immediately. You have to manipulate the market. Um And why why why didn't we see it immediately? Well the reason is the process reports that everybody sees uh rule in there that says all trades. Less than 100 shares don't need to report in there. And so what people did was sending a lot of less than 103 100 100 shares trades uh to fly under the radar to do this manipulation. So here is here the second barrier right? Data could be raw and dispersed. Um Sometimes you just have to take the hard road and um and to get insight And this is 1 1 great example. And then the last barrier is uh is has to do with sometimes when you start a project to to get insight to get uh to get answers and insight. You you realize that all the datas around you but you don't you don't seem to find the right ones To get what you need. You don't you don't seem to get the right ones. Yeah. Um here we have three quick examples of customers. 111 was it was a great example right? Where uh they were trying to build a language translator, a machine language translator between two languages. Right? But not do that. They need to get hundreds of millions of word pairs, you know, of one language compared uh with the corresponding other hundreds of millions of them. They say we are going to get all these word pairs. Someone creative thought of a willing source and a huge, so it was a United Nations you see. So sometimes you think you don't have the right data with you, but there might be another source and a willing one that could give you that data right. The second one has to do with uh there was uh the uh sometimes you you may just have to generate that data, interesting one. We had an autonomous car customer that collects all these data from their cars, right, massive amounts of data, loss of senses, collect loss of data. And uh you know, but sometimes they don't have the data they need even after collection. For example, they may have collected the data with a car uh in in um in fine weather and collected the car driving on this highway in rain and also in stone, but never had the opportunity to collect the car in hale because that's a rare occurrence. So instead of waiting for a time where the car can dr inhale, they build a simulation you by having the car collector in snow and simulated him. So these are some of the examples where we have customers working to overcome barriers, right? You have barriers that is associated the fact that data is silo Federated, it various associated with data. That's tough to get that. They just took the hard road, right? And sometimes, thirdly, you just have to be creative to get the right data you need, >>wow, I tell you, I have about 100 questions based on what you just said. Uh, there's a great example, the flash crash. In fact, Michael Lewis wrote about this in his book, The Flash Boys and essentially right. It was high frequency traders trying to front run the market and sending in small block trades trying to get on the front end it. So that's and they, and they chalked it up to a glitch like you said, for months, nobody really knew what it was. So technology got us into this problem. I guess my question is, can technology help us get out of the problem? And that maybe is where AI fits in. >>Yes, yes. Uh, in fact, a lot of analytics, we went in, uh, to go back to the raw data that is highly dispersed from different sources, right, assemble them to see if you can find a material trend, right? You can see lots of trends right? Like, uh, you know, we, if if humans look at things right, we tend to see patterns in clouds, right? So sometimes you need to apply statistical analysis, um math to be sure that what the model is seeing is is real. Right? And and that required work. That's one area. The second area is uh you know, when um uh there are times when you you just need to to go through that uh that tough approach to to find the answer. Now, the issue comes to mind now is is that humans put in the rules to decide what goes into a report that everybody sees in this case uh before the change in the rules. Right? But by the way, after the discovery, the authorities change the rules and all all shares, all traits of different any sizes. It has to be reported. No. Yeah. Right. But the rule was applied uh you know, to say earlier that shares under 100 trades under 100 shares need not be reported. So sometimes you just have to understand that reports were decided by humans and and under for understandable reasons. I mean they probably didn't want that for various reasons not to put everything in there so that people could still read it uh in a reasonable amount of time. But uh we need to understand that rules were being put in by humans for the reports we read. And as such, there are times you just need to go back to the raw data. >>I want to ask, >>albeit that it's gonna be tough. >>Yeah. So I want to ask a question about AI is obviously it's in your title and it's something you know a lot about but and I want to make a statement, you tell me if it's on point or off point. So it seems that most of the Ai going on in the enterprise is modeling data science applied to troves of data >>but >>but there's also a lot of ai going on in consumer whether it's you know, fingerprint technology or facial recognition or natural language processing. Will a two part question will the consumer market has so often in the enterprise sort of inform us uh the first part and then will there be a shift from sort of modeling if you will to more you mentioned autonomous vehicles more ai influencing in real time. Especially with the edge. She can help us understand that better. >>Yeah, it's a great question. Right. Uh there are three stages to just simplify, I mean, you know, it's probably more sophisticated than that but let's simplify three stages. All right. To to building an Ai system that ultimately can predict, make a prediction right or to to assist you in decision making, have an outcome. So you start with the data massive amounts data that you have to decide what to feed the machine with. So you feed the machine with this massive chunk of data and the machine uh starts to evolve a model based on all the data is seeing. It starts to evolve right to the point that using a test set of data that you have separately campus site that you know the answer for. Then you test the model uh you know after you trained it with all that data to see whether it's prediction accuracy is high enough and once you are satisfied with it, you you then deploy the model to make the decision and that's the influence. Right? So a lot of times depend on what what we are focusing on. We we um in data science are we working hard on assembling the right data to feed the machine with, That's the data preparation organization work. And then after which you build your models, you have to pick the right models for the decisions and prediction you wanted to make. You pick the right models and then you start feeding the data with it. Sometimes you you pick one model and the prediction isn't that robust, it is good but then it is not consistent right now what you do is uh you try another model so sometimes it's just keep trying different models until you get the right kind. Yeah, that gives you a good robust decision making and prediction after which It is tested well Q eight. You would then take that model and deploy it at the edge. Yeah. And then at the edges is essentially just looking at new data, applying it to the model, you're you're trained and then that model will give you a prediction decision. Right? So uh it is these three stages. Yeah, but more and more uh you know, your question reminds me that more and more people are thinking as the edge become more and more powerful. Can you also do learning at the edge? Right. That's the reason why we spoke about swarm learning the last time, learning at the edge as a swamp, right? Because maybe individually they may not have enough power to do so. But as a swampy me, >>is that learning from the edge or learning at the edge? In other words? Yes. Yeah. Question Yeah. >>That's a great question. That's a great question. Right? So uh the quick answer is learning at the edge, right? Uh and also from the edge, but the main goal, right? The goal is to learn at the edge so that you don't have to move the data that the Edge sees first back to the cloud or the core to do the learning because that would be the reason. One of the main reasons why you want to learn at the edge, right? Uh So so that you don't need to have to send all that data back and assemble it back from all the different edge devices, assemble it back to the cloud side to to do the learning right? With swampland. You can learn it and keep the data at the edge and learn at that point. >>And then maybe only selectively send the autonomous vehicle example you gave us. Great because maybe there, you know, there may be only persisting, they're not persisting data that is inclement weather or when a deer runs across the front and then maybe they they do that and then they send that smaller data set back and maybe that's where it's modelling done. But the rest can be done at the edges. It's a new world that's coming down. Let me ask you a question, is there a limit to what data should be collected and how it should be collected? >>That's a great question again. You know uh wow today, full of these uh insightful questions that actually touches on the second challenge. Right? How do we uh in order to thrive in this new age of inside? The second challenge is are you know the is our future challenge, right? What do we do for our future? And and in there is uh the statement we make is we have to focus on collecting data strategically for the future of our enterprise. And within that I talk about what to collect right? When to organize it when you collect and then where will your data be, you know going forward that you are collecting from? So what, when and where for the what data for the what data to collect? That? That was the question you ask. Um it's it's a question that different industries have to ask themselves because it will vary, right? Um let me give you the you use the autonomous car example, let me use that. And you have this customer collecting massive amounts of data. You know, we're talking about 10 petabytes a day from the fleet of their cars. And these are not production autonomous cars, right? These are training autonomous cars collecting data so they can train and eventually deploy commercial cars, right? Um so this data collection cars they collect as a fleet of them collect temporal bikes a day. And when it came to us building a storage system to store all of that data, they realized they don't want to afford to store all of it. Now, here comes the dilemma, right? What should I after I spent so much effort building all these cars and sensors and collecting data, I've now decide what to delete. That's a dilemma right now in working with them on this process of trimming down what they collected. You know, I'm constantly reminded of the sixties and seventies, right? To remind myself 60 and seventies, we call a large part of our D. N. A junk DNA. Today. We realize that a large part of that what we call john has function as valuable function. They are not jeans, but they regulate the function of jeans, you know, So, so what's jump in the yesterday could be valuable today or what's junk today could be valuable tomorrow, Right? So, so there's this tension going on right between you decided not wanting to afford to store everything that you can get your hands on. But on the other hand, you you know, you worry you you you ignore the wrong ones, right? You can see this tension in our customers, right? And it depends on industry here, right? In health care, they say I have no choice. I I want it. All right. One very insightful point brought up by one health care provider that really touched me was, you know, we are not we don't only care. Of course we care a lot. We care a lot about the people we are caring for, right? But you also care for the people were not caring for. How do we find them? Mhm. Right. And that therefore, they did not just need to collect data. That is that they have with from their patients. They also need to reach out right to outside data so that they can figure out who they are not caring for, right? So they want it all. So I tell us them, so what do you do with funding if you want it all? They say they have no choice but to figure out a way to fund it and perhaps monetization of what they have now is the way to come around and find that. Of course they also come back to us rightfully that you know, we have to then work out a way to help them build that system, you know? So that's health care, right? And and if you go to other industries like banking, they say they can't afford to keep them off, but they are regulated, seems like healthcare, they are regulated as to uh privacy and such. Like so many examples different industries having different needs, but different approaches to how what they collect. But there is this constant tension between um you perhaps deciding not wanting to fund all of that uh all that you can store, right? But on the other hand, you know, if you if you kind of don't want to afford it and decide not to store some uh if he does some become highly valuable in the future, right? Yeah. >>We can make some assumptions about the future, can't we? I mean, we know there's gonna be a lot more data than than we've ever seen before. We know that we know well notwithstanding supply constraints on things like nand. We know the prices of storage is going to continue to decline. We also know, and not a lot of people are really talking about this but the processing power but he says moore's law is dead okay. It's waning. But the processing power when you combine the Cpus and NP US and GPUS and accelerators and and so forth actually is is increasing. And so when you think about these use cases at the edge, you're going to have much more processing power, you're gonna have cheaper storage and it's going to be less expensive processing And so as an ai practitioner, what can you do with that? >>Yeah, it's highly again, another insightful questions that we touched on our keynote and that that goes up to the why I do the where? Right, When will your data be? Right. We have one estimate that says that by next year there will be 55 billion connected devices out there. Right. 55 billion. Right. What's the population of the world? Of the other? Of 10 billion? But this thing is 55 billion. Right? Uh and many of them, most of them can collect data. So what do you what do you do? Right. Um So the amount of data that's gonna come in, it's gonna weigh exceed right? Our drop in storage costs are increasing computer power. Right? So what's the answer? Right. So, so the the answer must be knowing that we don't and and even the drop in price and increase in bandwidth, it will overwhelm the increased five G will overwhelm five G. Right? Given amount 55 billion of them collecting. Right? So, the answer must be that there might need to be a balance between you needing to bring all that data from the 55 billion devices of data back to a central as a bunch of central Cause because you may not be able to afford to do that firstly band with even with five G. M and and SD when you'll still be too expensive given the number of devices out there. Were you given storage cause dropping will still be too expensive to try and store them all. So the answer must be to start at least to mitigate the problem to some leave both a lot of the data out there. Right? And only send back the pertinent ones as you said before. But then if you did that, then how are we gonna do machine learning at the core and the cloud side? If you don't have all the data you want rich data to train with. Right? Some sometimes you want a mix of the uh positive type data and the negative type data so you can train the machine in a more balanced way. So the answer must be eventually right. As we move forward with these huge number of devices out of the edge to do machine learning at the edge. Today, we don't have enough power. Right? The edge typically is characterized by a lower uh, energy capability and therefore lower compute power. But soon, you know, even with lower energy, they can do more with compute power improving in energy efficiency, Right? Uh, so learning at the edge today, we do influence at the edge. So we data model deploy and you do influence at the age, that's what we do today. But more and more, I believe, given a massive amount of data at the edge, you you have to have to start doing machine learning at the edge. And and if when you don't have enough power, then you aggregate multiple devices, compute power into a swamp and learn as a swan, >>interesting. So now, of course, if I were sitting and fly on the wall in HP board meeting, I said, okay, HP is as a leading provider of compute, how do you take advantage of that? I mean, we're going, I know it's future, but you must be thinking about that and participating in those markets. I know today you are you have, you know, edge line and other products. But there's it seems to me that it's it's not the general purpose that we've known in the past. It's a new type of specialized computing. How are you thinking about participating in that >>opportunity for your customers? Uh the world will have to have a balance right? Where today the default, Well, the more common mode is to collect the data from the edge and train at uh at some centralized location or a number of centralized location um going forward. Given the proliferation of the edge devices, we'll need a balance. We need both. We need capability at the cloud side. Right. And it has to be hybrid. And then we need capability on the edge side. Yeah. That they want to build systems that that on one hand, uh is uh edge adapted, right? Meaning the environmentally adapted because the edge different they are on a lot of times on the outside. Uh They need to be packaging adapted and also power adapted, right? Because typically many of these devices are battery powered. Right? Um so you have to build systems that adapt to it, but at the same time they must not be custom. That's my belief. They must be using standard processes and standard operating system so that they can run rich a set of applications. So yes. Um that's that's also the insightful for that Antonio announced in 2018, Uh the next four years from 2018, right, $4 billion dollars invested to strengthen our edge portfolio, edge product lines, right Edge solutions. >>I get a doctor go. I could go on for hours with you. You're you're just such a great guest. Let's close what are you most excited about in the future of of of it? Certainly H. P. E. But the industry in general. >>Yeah I think the excitement is uh the customers right? The diversity of customers and and the diversity in a way they have approached their different problems with data strategy. So the excitement is around data strategy right? Just like you know uh you know the the statement made was was so was profound. Right? Um And Antonio said we are in the age of insight powered by data. That's the first line right? The line that comes after that is as such were becoming more and more data centric with data the currency. Now the next step is even more profound. That is um you know we are going as far as saying that you know um data should not be treated as cost anymore. No right. But instead as an investment in a new asset class called data with value on our balance sheet, this is a this is a step change right in thinking that is going to change the way we look at data the way we value it. So that's a statement that this is the exciting thing because because for for me a city of AI right uh machine is only as intelligent as the data you feed it with. Data is a source of the machine learning to be intelligent. So so that's that's why when when people start to value data right? And and and say that it is an investment when we collect it. It is very positive for ai because an Ai system gets intelligent, more intelligence because it has a huge amounts of data and the diversity of data. So it'd be great if the community values values data. Well >>you certainly see it in the valuations of many companies these days. Um and I think increasingly you see it on the income statement, you know data products and people monetizing data services and maybe eventually you'll see it in the in the balance. You know Doug Laney when he was a gardener group wrote a book about this and a lot of people are thinking about it. That's a big change isn't it? Dr >>yeah. Question is is the process and methods evaluation. Right. But uh I believe we'll get there, we need to get started then we'll get their belief >>doctor goes on and >>pleasure. And yeah and then the yeah I will will will will benefit greatly from it. >>Oh yeah, no doubt people will better understand how to align you know, some of these technology investments, Doctor goes great to see you again. Thanks so much for coming back in the cube. It's been a real pleasure. >>Yes. A system. It's only as smart as the data you feed it with. >>Excellent. We'll leave it there. Thank you for spending some time with us and keep it right there for more great interviews from HP discover 21. This is dave a lot for the cube. The leader in enterprise tech coverage right back.
SUMMARY :
at Hewlett Packard enterprise Doctor go great to see you again. the age of insights and how to craft a data centric strategy and you addressed you know That's also part of the reason why that's the main reason why you know Antonio on day one So maybe we could talk a little bit about some of the things that you The first one is is the current challenge and that current challenge is uh you know stated So that's and they, and they chalked it up to a glitch like you said, is is that humans put in the rules to decide what goes into So it seems that most of the Ai going on in the enterprise is modeling be a shift from sort of modeling if you will to more you mentioned autonomous It starts to evolve right to the point that using a test set of data that you have is that learning from the edge or learning at the edge? The goal is to learn at the edge so that you don't have to move the data that the And then maybe only selectively send the autonomous vehicle example you gave us. But on the other hand, you know, if you if you kind of don't want to afford it and But the processing power when you combine the Cpus and NP that there might need to be a balance between you needing to bring all that data from the I know today you are you have, you know, edge line and other products. Um so you have to build systems that adapt to it, but at the same time they must not Let's close what are you most excited about in the future of machine is only as intelligent as the data you feed it with. Um and I think increasingly you see it on the income statement, you know data products and Question is is the process and methods evaluation. And yeah and then the yeah I will will will will benefit greatly from it. Doctor goes great to see you again. It's only as smart as the data you feed it with. Thank you for spending some time with us and keep it right there for more great
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