DV Pure Storage 208
>> Thank you, sir. All right, you ready to roll? >> Ready. >> All right, we'll go ahead and go in five, four, three, two. >> Okay, let's summarize the convergence of file and object. First, I want to thank our guests, Matt Burr, Scott Sinclair, Garrett Belsner, and CB Bonne. I'm your host, Dave Vellante, and please allow me to briefly share some of the key takeaways from today's program. So first, as Scott Sinclair of ESG stated surprise, surprise, data's growing. And Matt Burr, he helped us understand the growth of unstructured data. I mean, estimates indicate that the vast majority of data will be considered unstructured by mid decade, 80% or so. And obviously, unstructured data is growing very, very rapidly. Now, of course, your definition of unstructured data, now that may vary across a wide spectrum. I mean, there's video, there's audio, there's documents, there's spreadsheets, there's chat. I mean, these are generally considered unstructured data but of course they all have some type of structure to them. You know, perhaps it's not as strict as a relational database, but there's certainly metadata and certain structure to these types of use cases that I just mentioned. Now, the key to what Pure is promoting is this idea of unified fast file and object, U-F-F-O. Look, object is great, it's inexpensive, it's simple, but historically, it's been less performant, so good for archiving, or cheap and deep types of examples. Organizations often use file for higher performance workloads and let's face it, most of the world's data lives in file formats. What Pure is doing is bringing together file and object by, for example, supporting multiple protocols, ie, NFS, SMB, and S3. S3, of course, has really given a new life to object over the past decade. Now, the key here is to essentially enable customers to have the best of both worlds, not having to trade off performance for object simplicity. And a key discussion point that we've had in the program has been the impact of Flash on the long, slow, death of spinning disk. Look, hard disk drives, they had a great run, but HDD volumes, they peaked in 2010, and Flash, as you well know, has seen tremendous volume growth thanks to the consumption of Flash in mobile devices and then of course, its application into the enterprise. And as volume is just going to keep growing and growing, and growing. the price declines of Flash are coming down faster than those of HDD. So it's, the writing's on the wall. It's just a matter of time. So Flash is riding down that cost curve very, very aggressively and HDD has essentially become a managed decline business. Now, by bringing Flash to object as part of the FlashBlade portfolio and allowing for multiple protocols, Pure hopes to eliminate the dissonance between file and object and simplify the choice. In other words, let the workload decide. If you have data in a file format, no problem. Pure can still bring the benefits of simplicity of object at scale to the table. So again, let the workload inform what the right strategy is not the technical infrastructure. Now Pure, of course, is not alone. There are others supporting this multi-protocol strategy. And so we asked Matt Burr why Pure, what's so special about you? And not surprisingly, in addition to the product innovation, he went right to Pure's business model advantages. I mean, for example, with its Evergreen support model which was very disruptive in the marketplace. You know, frankly, Pure's entire business disrupted the traditional disk array model which was, fundamentally, it was flawed. Pure forced the industry to respond. And when it achieved escape velocity and Pure went public, the entire industry had to react. And a big part of the Pure value prop in addition to this business model innovation that we just discussed is simplicity. Pure's keep it simple approach coincided perfectly with the ascendancy of cloud where technology organizations needed cloud-like simplicity for certain workloads that were never going to move into the cloud. They were going to stay on-prem. Now I'm going to come back to this but allow me to bring in another concept that Garrett and CB really highlighted, and that is the complexity of the data pipeline. And what do I mean, what do I mean by that, and why is this important? So Scott Sinclair articulated or he implied that the big challenge is organizations, they're data full, but insights are scarce; a lot of data, not as much insights, and it takes time, too much time to get to those insights. So we heard from our guests that the complexity of the data pipeline was a barrier to getting to faster insights. Now, CB Bonne shared how he streamlined his data architecture using Vertica's Eon Mode which allowed him to scale, compute, independently of storage, so that brought critical flexibility and improved economics at scale. And FlashBlade, of course, was the backend storage for his data warehouse efforts. Now, the reason I think this is so important is that organizations are struggling to get insights from data and the complexity associated with the data pipeline and data lifecycles, let's face it, it's overwhelming organizations. And there, the answer to this problem is a much longer and different discussion than unifying object and file. That's, you know, I could spend all day talking about that, but let's focus narrowly on the part of the issue that is related to file and object. So the situation here is the technology has not been serving the business the way it should. Rather, the formula is twisted in the world of data and big data, and data architectures. The data team is mired in complex technical issues that impact the time to insights. Now, part of the answer is to abstract the underlying infrastructure complexity and create a layer with which the business can interact that accelerates instead of impedes innovation. And unifying file and object is a simple example of this where the business team is not blocked by infrastructure nuance, like does this data reside in the file or object format? Can I get to it quickly and inexpensively in a logical way or is the infrastructure in a stovepipe and blocking me? So if you think about the prevailing sentiment of how the cloud is evolving to incorporate on premises, workloads that are hybrid, and configurations that are working across clouds, and now out to the edge, this idea of an abstraction layer that essentially hides the underlying infrastructure is a trend we're going to see evolve this decade. Now, is UFFO the be-all end-all answer to solving all of our data pipeline challenges? No, no, of course not. But by bringing the simplicity and economics of object together with the ubiquity and performance of file, UFFO makes it a lot easier. It simplifies a life organizations that are evolving into digital businesses, which by the way, is every business. So, we see this as an evolutionary trend that further simplifies the underlying technology infrastructure and does a better job supporting the data flows for organizations so they didn't have to spend so much time worrying about the technology details that add little value to the business. Okay, so thanks for watching the convergence of file and object and thanks to Pure Storage for making this program possible. This is Dave Vellante for theCUBE. We'll see you next time.
SUMMARY :
All right, you ready to roll? in five, four, three, two. that impact the time to insights.
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Nicole Johnson, Head of Social Impact & Sustainability | The Path To Sustainable IT
>>Hi everyone. Welcome to this special event, pure Storage, the Path to Sustainable it. I'm your host, Lisa Martin. Very pleased to be joined by Nicole Johnson, the head of Social Impact and Sustainability at Pure Storage. Nicole, welcome to the >>Cube. Thanks for having me, Lisa. >>Sustainability is such an important topic to talk about, and I understand that Pure just announced a report today about sustainability. What can you tell me what nuggets are in this report? >>Well, actually quite a few really interesting nuggets, at least for us. And I, I think probably for you and your viewers as well. So we actually commissioned about a thousand sustainability leaders across the globe to understand, you know, what are their sustainability goals, what are they working on, and what are the impacts of buying decisions, particularly around infrastructure when it comes to sustainable goals. I think one of the things that was really interesting for us was the fact that around the world we did not see a significant variation in terms of sustainability being a top priority. You've, I'm sure you've heard about the energy crisis that's happening across Europe. And so, you know, there was some thought that perhaps that might play into AMEA being a larger, you know, having sustainability goals that were more significant. But we actually did not find that we found sustainability to be really important no matter where the respondents were located. >>So, very interesting at pure sustainability is really at the heart of what we do and has been since our founding. It's interesting because we set out to make storage really simple, but it turns out really simple, is also really sustainable and the products and services that we bring to our customers have really powerful outcomes when it comes to decreasing their, their own carbon footprints. And so, you know, we often hear from customers that we've actually really helped them to significantly improve their storage performance, but also allow them to save on space power and cooling costs and, and their footprint. So really significant findings. One example of that is a company called Cengage, which is a global education technology company. They recently shared with us that they have actually been able to reduce their overall storage footprint by 80% while doubling to tripling the performance of their storage systems. So it's really critical for, for companies who are thinking about their sustainability goals, to consider the dynamic between their sustainability program and their IT teams who are making these buying decisions. >>Right? Those two teams need to be really inextricably linked these days. You talked about the fact that there was really consistency across the regions in terms of sustainability being of high priority for organizations. You had a great customer story that you shared that showed significant impact can be made there by bringing the sustainability both together with it. But I'm wondering why are we seeing that so much of the vendor selection process still isn't revolving around sustainability or it's overlooked? What are some of the things that you see despite so many people saying sustainability huge priority? >>Well, in this survey, the most commonly cited challenge was really around the fact that there was a lack of management buy-in. 40% of respondents told us this was the top roadblock. So getting, I think getting that out of the way. And then we also just heard that sustainability teams were not brought into tech purchasing processes until after it's already rolling, right? So they're not even looped in. And that, that being said, you know, we know that it has been identified as one of the key departments to supporting a company's sustainability goals. So we, we really want to ensure that these two teams are talking more to each other. When we look even closer at the data from the respondents, we see some really positive correlations. We see that 65% of respondents reported that they're on track to meet their sustainability goals, and that it, of those 65%, it is significantly engaged with reporting data for those sustainability initiatives. We saw that, that for those who did report, the sustainability is a top priority for vendor selection. They were twice as likely to be on track with their goals and their sustainability directors said that they were getting involved at the beginning of the tech purchasing program. Our process, I'm sorry, rather than towards the end. And so, you know, we know that to curb the impact of climate crisis, we really need to embrace sustainability from a cross-functional viewpoint. >>Definitely has to be cross-functional. So, so strong correlations there in the report that organizations that had closer alignment between the sustainability folks and the IT folks were farther along in their sustainability program development, execution, et cetera, those CO was correlations, were they a surprise? >>Not entirely. You know, when we look at some of the statistics that come from the, you know, places like the World Economic Forum, they say that digitization generated 4% of greenhouse gas emissions in 2020. So, and that, you know, that's now almost three years ago, digital data only accelerates and by 2025, we expect that number could be almost double. And so we know that that communication and that correlation is gonna be really important because data centers are taking up such a huge footprint of when companies are looking at their emissions. And it's, I mean, quite frankly, a really interesting opportunity for it to be a trailblazer in the sustainability journey. And, you know, perhaps people that are in IT haven't thought about how they can make an impact in this area, but there really is some incredible ways to help us work on cutting carbon emissions, both from your company's perspective and from the world's perspective, right? >>Like we are, we're all doing this because it's something that we know we have to do to drive down climate change. So I think when you, when you think about how to be a trailblazer, how to do things differently, how to differentiate your own department, it's a really interesting connection that IT and sustainability work together. I would also say, you know, I'll just note that of the respondents to the survey we were discussing, we do over half of those respondents expect to see closer alignment between the organization's IT and sustainability teams as they move forward. >>And that's really a tip the, to those organizations embracing cultural change. That's always hard to do, but for those two, for sustainability and IT to come together as part of really the overall ethos of an organization, that's huge. And it's great to see the data demonstrating that, that those, that alignment, that close alignment is really on its way to helping organizations across industries make a big impact. And wanna dig in a little bit to peers, ESG goals. What can you share with us about >>That? Absolutely. So as I mentioned, peers kind of at the beginning of our formal ESG journey, but really has been working on the, on the sustainability front for a long time. I would, I, it's funny as we're, as we're doing a lot of this work and, and kind of building our own profile around this, we're coming back to some of the things that we have done in the past that consumers weren't necessarily interested in then, but are now because the world has changed, becoming more and more invested in. So that's exciting. So we did a baseline scope one, two, and three analysis and discovered, interestingly enough that 70% of our emissions comes from use of sold products. So our customers work running our products in their data centers. So we know that we, we've made some ambitious goals around our Scope one and two emissions, which is our own office, our utilities, you know, those, they only account for 6% of our emissions. So we know that to really address the issue of climate change, we need to work on the use of sold products. So we've also made a, a really ambitious commitment to decrease our carbon emissions by 66% per bed per petabyte by 2030 in our products. So decreasing our own carbon footprint, but also affecting our customers as well. And we've also committed to a science based target initiative and our road mapping how to achieve the ambitious goals set out in the Paris agreement. >>That's fantastic. It sounds like you really dialed in on where is the biggest opportunity for us as peer storage to make the biggest impact across our organization, across our customers' organizations. There lofty goals that pure set, but knowing what I know about Pure, you guys are probably well on track to, to accomplish those goals in record time. >>I hope So. >>Talk a little bit about advice that you would give to viewers who might be at the very beginning of their sustainability journey and really wondering what are the core elements besides it, sustainability, team alignment that I need to bring into this program to make it actually successful? >>Yeah, so I think, you know, understanding that you don't have to pick between really powerful technology and sustainable technology. There are opportunities to get both and not just in storage, right in, in your entire IT port portfolio. We know that, you know, we're in a place in the world where we have to look at things from the bigger picture. We have to solve new challenges and we have to approach business a little bit differently. So adopting solutions and services that are environmentally efficient can actually help to scale and deliver more effective and efficient IT solutions over time. So I think that that's something that we need to, to really remind ourselves, right? We have to go about business a little bit differently and that's okay. We also know that data centers utilize an incredible amount of, of energy and, and carbon. And so everything that we can do to drive that down is going to address the sustainability goals for us individually as well as, again, drive down that climate change. So we, we need to get out of the mindset that data centers are, are about reliability, your cost, et cetera. And really think about efficiency and carbon footprint when you're making those business decisions. I'll also say that, you know, the earlier that we can get sustainability teams into the conversation, the more impactful your business decisions are going to be and helping you to guide sustainable decision making. >>So shifting sustainability and it left almost together really shows that the correlation between those folks getting together in the beginning with intention, the report shows and the successes that peers had, demonstrate that that's very impactful for organizations to actually be able to implement even the cultural change that's needed for sustainability programs to be successful. My last question for you goes back to that report. You mentioned in there that the data show a lot of organizations are hampered by management buy-in, where sustainability is concerned. How can pure help its customers navigate around those barriers so that they get that management buy and they understand that the value in it for >>Them? Yeah, so I mean, I think that for me, my advice is always to speak to hearts and minds, right? And help the management to understand, first of all, the impact right on climate change. So I think that's the kind of hearts piece on the mind piece. I think it's addressing the sustainability goals that these companies have set for themselves and helping management understand how to, you know, how their IT buying decisions can actually really help them to reach these goals. We also, you know, we always run kind of TCOs for customers to understand what is the actual cost of, of the equipment. And so, you know, especially if you're in a, in a location in which energy costs are rising, I mean, I think we're seeing that around the world right now with inflation. Better understanding your energy costs can really help your management to understand the, again, the bigger picture and what that total cost is gonna be. Often we see, you know, that maybe the, the person who's buying the IT equipment isn't the same person who's purchasing, who's paying the, the electricity bills, right? And so sometimes even those two teams aren't talking. And there's a great opportunity there, I think, to just to just, you know, look at it from a more high level lens to better understand what total cost of ownership is. >>That's a great point. Great advice. Nicole. Thank you so much for joining me on the program today, talking about the new report that on sustainability that Pure put out some really compelling nuggets in there, but really also some great successes that you've already achieved internally on your own ESG goals and what you're helping customers to achieve in terms of driving down their carbon footprint and emissions. We so appreciate your insights and your thoughts. >>Thank you, Lisa. It's been great speaking with you. >>Pleasure speaking with you as well. We wanna thank you so much for watching. This is Pure Storage, the path to sustainable it. I'm Lisa Martin, we'll see you next time.
SUMMARY :
Very pleased to be joined by Nicole Johnson, the head of Social What can you tell me what nuggets are in this report? And so, you know, there was some thought that perhaps that might play into AMEA And so, you know, we often hear from customers that What are some of the things that you see despite so many people saying sustainability And so, you know, we know that to curb the that had closer alignment between the sustainability folks and the IT folks were farther along So, and that, you know, that's now almost three years ago, digital data only you know, I'll just note that of the respondents to the And it's great to see the data demonstrating that, our Scope one and two emissions, which is our own office, our utilities, you know, those, but knowing what I know about Pure, you guys are probably well on track to, to accomplish those goals And so everything that we can do to actually be able to implement even the cultural change that's needed for sustainability programs to I think, to just to just, you know, look at it from a more high level lens to Thank you so much for joining me on the program today, This is Pure Storage, the path to sustainable
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Mattia Ballerio, Elmec Informatica | The Path to Sustainable IT
(upbeat music) >> We're back talking about the path to sustainable IT and now we're going to get the perspective from Mattia Ballerio who is with Elmec Informatica, an IT services firm in the beautiful Lombardi region, of Italy, north of Milano. Mattia, welcome to theCUBE. Thanks so much for coming on. >> Thank you very much, Dave. Thank you. >> All right, before we jump in, tell us a little bit more about Elmec Informatica. What's your focus? Talk about your unique value add to customers. >> Yeah! So basically Elmec Informatica is middle company from the north part of Italy. And is managed service provider in the IT area. Okay, so the, the main focus area of Elmec is, rich digital transformation, and innovation to our clients with the focus on infrastructure services, workplace services, and also cybersecurity services, okay. And we try to follow the path of our clients to the digital transformation and innovation through technology and sustainability. >> Yeah, obviously very hot topics right now. Sustainability, environmental impact, they're growing areas of focus among leaders across all industries, particularly acute right now in, in Europe, with the, you know, the energy challenges. You've talked about things like sustainable business. What does that mean? What does that term, you know, speak to, and, and what can others learn from it? >> Yeah, at Elmec, our approach to sustainability is grounded in science and, and values. And also in a customer territory, but also employee centered. I mean, we conduct regular assessments to understand the most significant environment and social issues for our business with, with the goal of prioritizing what we do for a sustainability future. Our service delivery methodology, employee care, relationship with the local supplier, and local area and institution are a major factor for us to, to build a such a responsibility strategy. Specifically during the past year, we have been particularly focused on define sustainability governance in the company based on stakeholder engagement, defining material issues, establishing quantitative indicators, to monitor and setting medium to long term goals. >> Okay, so you have a lot of data. You can go into a customer, you can do an assessment, you can set a baseline, and then you have other data by which you can compare that and, and understand what's achievable. So what's your vision for sustainable business? You know, that strategy, you know, how has it affected your business in terms of the evolution? 'Cause this was, hasn't always been as hot a topic as it is today, and, and is it a competitive advantage for you? >> Yeah, yeah. For, for all intense and proposed sustainability is a competitive advantage for Elmec. I mean, it's so, because at the time of profound transformation in the work, in the world of work, CSR issues make a company more attractive when searching for new talent to enter in the workforce of our company. In addition, efforts to ensure people's proper work life balance are a strong retention factor. And, regarding our business proposition, Elmec's attempts is to meet high standard of sustainability and reliability. Our green data center, you said is a prime example of this approach, as at the same time, is there a conditioning activity that is done to give a second life to technology devices that come from, back from rental? I mean, our customer inquiries with respect to Elmec sustainability are increasingly frequent, and in depth. And which is why we monitor our performance, and invest in certification, such as, EcoVadis or ISO 14,001. Okay? >> Got it! So in a previous life, I actually did some work with, with power companies, and there were two big factors in IT, that affected the power consumption. Obviously virtualization was a big one, if you could consolidate servers, you know, that was huge. But the other was the advent of flash storage, and that was all we used to actually go in with the, the engineers and the power company put in alligator clips to measure of, of of an all flash array versus, you know, the spinning disk and it was a big impact. So, you want to talk about, your, your experience with Pure Storage. You use Flash Array, and the Evergreen architecture. Can you talk about your experience there? Why did you make that decision to select Pure Storage? How does that help you meet sustainability and operational requirements? Do those benefits scale as your customers grow? What's your experience been? >> Yeah! It was basically, an easy, an easy answer to our, to our business needs. Okay, because you said before that, in Elmec, we manage a lot of data, okay. And in the past we, we, we see, we see that, the constraints of managing so many, many data was very, very difficult to manage in terms of power consumption or simply for the, the space of storing the data. And, when, when Pure came to us and share our, their products, their vision, to the data management journey for Elmec Informatica, it was very easy to choose Pure, why? With values and the numbers, we, we create a business case and, we said, we see that our power consumption usage was much less, more than 90% of previous technology that we used in the past. Okay? And so of course you have to manage a gradual deploy of flash technology storage, but it was a good target. So we have tried to monitoring the adoption of flash technology, and monitor, monitoring also the power consumption, and the efficiency that the pure technology bring to our, to our IT systems, and of course the IT systems of our clients. And so this is one, the first part, the first good part of our trip with, with Pure. And after that, we approach also the sustainability in long term of choosing Pure technology storage. You mentioned the evergreen models of Pure, and of course this was, a game challenge for us because it allows, it allow us to extend the life cycle management of our data centers, but also the, it allows us to improve the facility, of the facilities of using technology from our technical side, okay. So we are much more efficient than in the past with the choose of Pure Storage Technologies, okay. Of course, this easy users, easy usage mode, let me say, it allow us to bring this value to our, to all our clients that put their data in our data centers. >> So, you talked about how you've seen, 90% improvement relative to previous technologies. I always, I haven't put you on the spot. Because I, I, I was on Pure's website, and I saw in their ESG report some com, you know, it was a comparison with a generic competitor. I'm presuming that competitor was not, you know 2010 spinning disk system. But, but, so I'm curious, as to the results that you're seeing with Pure, in terms of footprint and power usage. You, you're referencing some of that. We heard some metrics from Nicole and Ajay earlier in the program. Do you think, again I'm going to put you in the spot, do you think that Pure's architecture, and the way they've applied, whether it's machine intelligence or the Evergreen model, et cetera, is more competitive than other platforms, that you've seen? >> Yeah, of course. Is more competitor, more competitive. Because basically it allows to service provider to do much more efficient value proposition and offer services that are more that brings more values to, to the customers. Okay, so the customer is always at the center of a proposition of service provider. And the trying to adopt the methodology and also the, the value that Pure as inside, by design in the technology is, is for us very, very important and very, very strategic. Because, because, with like a glass, we can ourself transfer, try to transfer the values of Pure, Pure technologies to our service provider client. >> Okay Mattia, let's wrap and talk about sort of near term 2023 and then longer term. It looks like sustainability is a topic that's here to stay. Unlike when we were putting alligator clips on storage arrays, trying to help customers get rebates, that just didn't have legs. It was too complicated. Now it's a, a topic that everybody's measuring. What's next for Elmec, in its sustainability journey? What advice would you might have for sustainability leaders that want to make a meaningful impact on the environment but also on the bottom line? >> Okay. So, sustainability is fortunately a widely spread concept. And our role in, in this great game is to define a strategy, align with the common and fundamentals goals for the future of planet, and capable of expressing our inclination, and the particularities. Elmec sustainability goals in the near future, I can say that are will be basically free. One define sustainability plan, okay. It's fundamentals to define a sustainability plan. Then it's very important to monitor the, its emissions and we will calculate our carbon footprint, okay. And list, button list, produce a certifiable and comprehensive sustainability report, with respect to the demands of customers, suppliers, and also partners. Okay, so I can say that, this three target will be our direction in the, in the future. Okay? >> Yeah, so I mean, pretty straightforward. Make a plan. You got to monitor and measure. You can't improve what you can't measure. So you going to set a baseline, you're going to report on that. You're going to analyze the data and you're going to make continuous improvement. >> Yep. >> Mattia, thanks so much for joining us today and sharing your perspectives from the, the northern part of Italy. Really appreciate it. >> Yep. Thank you for having me on board. Thank you very much. >> It was really our pleasure. Okay, in a moment, I'm going to be back to wrap up the program, and share some resources , that could be valuable in your sustainability journey. Keep it right there. (upbeat music)
SUMMARY :
the path to sustainable IT Thank you very much, Dave. All right, before we jump in, and innovation to our clients in Europe, with the, you governance in the company in terms of the evolution? in the world of work, and the Evergreen architecture. and of course the IT and Ajay earlier in the program. by design in the technology is, also on the bottom line? and the particularities. and you're going to make and sharing your perspectives Thank you for having me on board. Okay, in a moment, I'm going to be back
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Pure Storage The Path to Sustainable IT
>>In the early part of this century, we're talking about the 2005 to 2007 timeframe. There was a lot of talk about so-called green it. And at that time there was some organizational friction. Like for example, the line was that the CIO never saw the power bill, so he or she didn't care, or that the facilities folks, they rarely talked to the IT department. So it was kind of that split brain. And, and then the oh 7 0 8 financial crisis really created an inflection point in a couple of ways. First, it caused organizations to kind of pump the brakes on it spending, and then they took their eye off the sustainability ball. And the second big trend, of course, was the cloud model, you know, kind of became a benchmark for it. Simplicity and automation and efficiency, the ability to dial down and dial up capacity as needed. >>And the third was by the end of the first decade of the, the two thousands, the technology of virtualization was really hitting its best stride. And then you had innovations like flash storage, which largely eliminated the need for these massive farms of spinning mechanical devices that sucked up a lot of power. And so really these technologies began their march to mainstream adoption. And as we progressed through the 2020s, the effect of climate change really come into focus as a critical component of esg. Environmental, social, and governance. Shareholders have come to demand metrics around sustainability. Employees are often choosing employers based on their ESG posture. And most importantly, companies are finding that savings on power cooling and footprint, it has a bottom line impact on the income statement. Now you add to that the energy challenges around the world, particularly facing Europe right now, the effects of global inflation and even more advanced technologies like machine intelligence. >>And you've got a perfect storm where technology can really provide some relief to organizations. Hello and welcome to the Path to Sustainable It Made Possible by Pure Storage and Collaboration with the Cube. My name is Dave Valante and I'm one of the host of the program, along with my colleague Lisa Martin. Now, today we're gonna hear from three leaders on the sustainability topic. First up, Lisa will talk to Nicole Johnson. She's the head of Social Impact and Sustainability at Pure Storage. Nicole will talk about the results from a study of around a thousand sustainability leaders worldwide, and she'll share some metrics from that study. And then next, Lisa will speak to AJ Singh. He's the Chief Product Officer at Pure Storage. We've had had him on the cube before, and not only will he share some useful stats in the market, I'll also talk about some of the technology innovations that customers can tap to address their energy consumption, not the least of which is ai, which is is entering every aspect of our lives, including how we deal with energy consumption. And then we'll bring it back to our Boston studio and go north of Italy with Mattia Ballero of Elec Informatica, a services provider with deep expertise on the topic of sustainability. We hope you enjoyed the program today. Thanks for watching. Let's get started >>At Pure Storage, the opportunity for change and our commitment to a sustainable future are a direct reflection of the way we've always operated and the values we live by every day. We are making significant and immediate impact worldwide through our environmental sustainability efforts. The milestones of change can be seen everywhere in everything we do. Pure's Evergreen Storage architecture delivers two key environmental benefits to customers, the reduction of wasted energy and the reduction of e-waste. Additionally, Pure's implemented a series of product packaging redesigns, promoting recycled and reuse in order to reduce waste that will not only benefit our customers, but also the environment. Pure is committed to doing what is right and leading the way with innovation. That has always been the pure difference, making a difference by enabling our customers to drive out energy usage and their data storage systems by up to 80%. Today, more than 97% of pure arrays purchased six years ago are still in service. And tomorrow our goal for the future is to reduce Scope three. Emissions Pure is committing to further reducing our sold products emissions by 66% per petabyte by 2030. All of this means what we said at the beginning, change that is simple and that is what it has always been about. Pure has a vision for the future today, tomorrow, forever. >>Hi everyone, welcome to this special event, pure Storage, the Path to Sustainable it. I'm your host, Lisa Martin. Very pleased to be joined by Nicole Johnson, the head of Social Impact and Sustainability at Pure Storage. Nicole, welcome to the Cube. Thanks >>For having me, Lisa. >>Sustainability is such an important topic to talk about and I understand that Pure just announced a report today about sustainability. What can you tell me what nuggets are in this report? >>Well, actually quite a few really interesting nuggets, at least for us. And I, I think probably for you and your viewers as well. So we actually commissioned about a thousand sustainability leaders across the globe to understand, you know, what are their sustainability goals, what are they working on, and what are the impacts of buying decisions, particularly around infrastructure when it comes to sustainable goals. I think one of the things that was really interesting for us was the fact that around the world we did not see a significant variation in terms of sustainability being a top priority. You've, I'm sure you've heard about the energy crisis that's happening across Europe. And so, you know, there was some thought that perhaps that might play into AMEA being a larger, you know, having sustainability goals that were more significant. But we actually did not find that we found sustainability to be really important no matter where the respondents were located. >>So very interesting at Pure sustainability is really at the heart of what we do and has been since our founding. It's interesting because we set out to make storage really simple, but it turns out really simple is also really sustainable. And the products and services that we bring to our customers have really powerful outcomes when it comes to decreasing their, their own carbon footprints. And so, you know, we often hear from customers that we've actually really helped them to significantly improve their storage performance, but also allow them to save on space power and cooling costs and, and their footprint. So really significant findings. One example of that is a company called Cengage, which is a global education technology company. They recently shared with us that they have actually been able to reduce their overall storage footprint by 80% while doubling to tripling the performance of their storage systems. So it's really critical for, for companies who are thinking about their sustainability goals, to consider the dynamic between their sustainability program and their IT teams who are making these buying decisions, >>Right? Those two teams need to be really inextricably linked these days. You talked about the fact that there was really consistency across the regions in terms of sustainability being of high priority for organizations. You had a great customer story that you shared that showed significant impact can be made there by bringing the sustainability both together with it. But I'm wondering why are we seeing that so much of the vendor selection process still isn't revolving around sustainability or it's overlooked? What are some of the things that you received despite so many people saying sustainability, huge priority? >>Well, in this survey, the most commonly cited challenge was really around the fact that there was a lack of management buy-in. 40% of respondents told us this was the top roadblock. So getting, I think getting that out of the way. And then we also just heard that sustainability teams were not brought into tech purchasing processes until after it's already rolling, right? So they're not even looped in. And that being said, you know, we know that it has been identified as one of the key departments to supporting a company sustainability goals. So we, we really want to ensure that these two teams are talking more to each other. When we look even closer at the data from the respondents, we see some really positive correlations. We see that 65% of respondents reported that they're on track to meet their sustainability goals. And the IT of those 65%, it is significantly engaged with reporting data for those sustainability initiatives. We saw that, that for those who did report, the sustainability is a top priority for vendor selection. They were twice as likely to be on track with their goals and their sustainability directors said that they were getting involved at the beginning of the tech purchasing program. Our process, I'm sorry, rather than towards the end. And so, you know, we know that to curb the impact of climate crisis, we really need to embrace sustainability from a cross-functional viewpoint. >>Definitely has to be cross-functional. So, so strong correlations there in the report that organizations that had closer alignment between the sustainability folks and the IT folks were farther along in their sustainability program development, execution, et cetera, those co was correlations, were they a surprise? >>Not entirely. You know, when we look at some of the statistics that come from the, you know, places like the World Economic Forum, they say that digitization generated 4% of greenhouse gas emissions in 2020. So, and that, you know, that's now almost three years ago, digital data only accelerates, and by 2025, we expect that number could be almost double. And so we know that that communication and that correlation is gonna be really important because data centers are taking up such a huge footprint of when companies are looking at their emissions. And it's, I mean, quite frankly, a really interesting opportunity for it to be a trailblazer in the sustainability journey. And, you know, perhaps people that are in IT haven't thought about how they can make an impact in this area, but there really is some incredible ways to help us work on cutting carbon emissions, both from your company's perspective and from the world's perspective, right? >>Like we are, we're all doing this because it's something that we know we have to do to drive down climate change. So I think when you, when you think about how to be a trailblazer, how to do things differently, how to differentiate your own department, it's a really interesting connection that IT and sustainability work together. I would also say, you know, I'll just note that of the respondents to the survey we were discussing, we do over half of those respondents expect to see closer alignment between the organization's IT and sustainability teams as they move forward. >>And that's really a, a tip a hat to those organizations embracing cultural change. That's always hard to do, but for those two, for sustainability in IT to come together as part of really the overall ethos of an organization, that's huge. And it's great to see the data demonstrating that, that those, that alignment, that close alignment is really on its way to helping organizations across industries make a big impact. I wanna dig in a little bit to here's ESG goals. What can you share with us about >>That? Absolutely. So as I mentioned peers kind of at the beginning of our formal ESG journey, but really has been working on the, on the sustainability front for a long time. I would, it's funny as we're, as we're doing a lot of this work and, and kind of building our own profile around this, we're coming back to some of the things that we have done in the past that consumers weren't necessarily interested in then but are now because the world has changed, becoming more and more invested in. So that's exciting. So we did a baseline scope one, two, and three analysis and discovered, interestingly enough that 70% of our emissions comes from use of sold products. So our customers work running our products in their data centers. So we know that we, we've made some ambitious goals around our Scope one and two emissions, which is our own office, our utilities, you know, those, they only account for 6% of our emissions. So we know that to really address the issue of climate change, we need to work on the use of sold products. So we've also made a, a really ambitious commitment to decrease our carbon emissions by 66% per bed per petabyte by 2030 in our product. So decreasing our own carbon footprint, but also affecting our customers as well. And we've also committed to a science-based target initiative and our road mapping how to achieve the ambitious goals set out in the Paris agreement. >>That's fantastic. It sounds like you really dialed in on where is the biggest opportunity for us as Pure Storage to make the biggest impact across our organization, across our customers organizations. There lofty goals that pure set, but knowing what I know about Pure, you guys are probably well on track to, to accomplish those goals in record time, >>I hope So. >>Talk a little bit about advice that you would give to viewers who might be at the very beginning of their sustainability journey and really wondering what are the core elements besides it, sustainability, team alignment that I need to bring into this program to make it actually successful? >>Yeah, so I think, you know, understanding that you don't have to pick between really powerful technology and sustainable technology. There are opportunities to get both and not just in storage right in, in your entire IT portfolio. We know that, you know, we're in a place in the world where we have to look at things from the bigger picture. We have to solve new challenges and we have to approach business a little bit differently. So adopting solutions and services that are environmentally efficient can actually help to scale and deliver more effective and efficient IT solutions over time. So I think that that's something that we need to, to really remind ourselves, right? We have to go about business a little bit differently and that's okay. We also know that data centers utilize an incredible amount of, of energy and, and carbon. And so everything that we can do to drive that down is going to address the sustainability goals for us individually as well as, again, drive down that climate change. So we, we need to get out of the mindset that data centers are, are about reliability or cost, et cetera, and really think about efficiency and carbon footprint when you're making those business decisions. I'll also say that, you know, the earlier that we can get sustainability teams into the conversation, the more impactful your business decisions are going to be and helping you to guide sustainable decision making. >>So shifting sustainability and IT left almost together really shows that the correlation between those folks getting together in the beginning with intention, the report shows and the successes that peers had demonstrate that that's very impactful for organizations to actually be able to implement even the cultural change that's needed for sustainability programs to be successful. My last question for you goes back to that report. You mentioned in there that the data show a lot of organizations are hampered by management buy-in, where sustainability is concerned. How can pure help its customers navigate around those barriers so that they get that management buy-in and they understand that the value in it for >>Them? Yeah, so I mean, I think that for me, my advice is always to speak to hearts and minds, right? And help the management to understand, first of all, the impact right on climate change. So I think that's the kind of hearts piece on the mind piece. I think it's addressing the sustainability goals that these companies have set for themselves and helping management understand how to, you know, how their IT buying decisions can actually really help them to reach these goals. We also, you know, we always run kind of TCOs for customers to understand what is the actual cost of, of the equipment. And so, you know, especially if you're in a, in a location in which energy costs are rising, I mean, I think we're seeing that around the world right now with inflation. Better understanding your energy costs can really help your management to understand the, again, the bigger picture and what that total cost is gonna be. Often we see, you know, that maybe the I the person who's buying the IT equipment isn't the same person who's purchasing, who's paying the, the electricity bills, right? And so sometimes even those two teams aren't talking. And there's a great opportunity there, I think, to just to just, you know, look at it from a more high level lens to better understand what total cost of ownership is. >>That's a great point. Great advice. Nicole, thank you so much for joining me on the program today, talking about the new report that on sustainability that Pure put out some really compelling nuggets in there, but really also some great successes that you've already achieved internally on your own ESG goals and what you're helping customers to achieve in terms of driving down their carbon footprint and emissions. We so appreciate your insights and your thoughts. >>Thank you, Lisa. It's been great speaking with you. >>AJ Singh joins me, the Chief Product Officer at Peer Storage. Aj, it's great to have you back on the program. >>Great to be back on, Lisa, good morning. >>Good morning. And sustainability is such an important topic to talk about. So we're gonna really unpack what PEER is doing, we're gonna get your viewpoints on what you're seeing and you're gonna leave the audience with some recommendations on how they can get started on their ESG journey. First question, we've been hearing a lot from pure AJ about the role that technology plays in organizations achieving sustainability goals. What's been the biggest environmental impact associated with, with customers achieving that given the massive volumes of data that keep being generated? >>Absolutely, Lisa, you can imagine that the data is only growing and exploding and, and, and, and there's a good reason for it. You know, data is the new currency. Some people call it the new oil. And the opportunity to go process this data gain insights is really helping customers drive an edge in the digital transformation. It's gonna make a difference between them being on the leaderboard a decade from now when the digital transformation kind of pans out versus, you know, being kind of somebody that, you know, quite missed the boat. So data is super critical and and obviously as part of that we see all these big benefits, but it has to be stored and, and, and that means it's gonna consume a lot of resources and, and the, and therefore data center usage has only accelerated, right? You can imagine the amount of data being generated, you know, recent study pointed to roughly by twenty twenty five, a hundred and seventy five zetabytes, which where each zettabyte is a billion terabytes. So just think of that size and scale of data. That's huge. And, and they also say that, you know, pretty soon, today, in fact in the developed world, every person is having an interaction with the data center literally every 18 seconds. So whether it's on Facebook or Twitter or you know, your email, people are constantly interacting with data. So you can imagine this data is only exploding. It has to be stored and it consumes a lot of energy. In fact, >>It, oh, go ahead. Sorry. >>No, I was saying in fact, you know, there's some studies have shown that data center usage literally consumes one to 2% of global energy consumption. So if there's one place we could really help climate change and, and all those aspects, if you can kind of really, you know, tamp down the data center, energy consumption, sorry, you were saying, >>I was just gonna say, it's, it's an incredibly important topic and the, the, the stats on data that you provided and also I, I like how you talked about, you know, every 18 seconds we're interacting with a data center, whether we know it or not, we think about the long term implications, the fact that data is growing massively. As you shared with the stats that you mentioned. If we think about though the responsibility that companies have, every company in today's world needs to be a data company, right? And we consumers expect it. We expect that you are gonna deliver these relevant, personalized experiences whether we're doing a transaction in our personal lives or in business. But what is the, what requirements do technology companies have to really start billing down their carbon footprints? >>No, absolutely. If you can think about it, just to kind of finish up the data story a little bit, the explosion is to the point where, in fact, if you just recently was in the news that Ireland went up and said, sorry, we can't have any more data centers here. We just don't have the power to supply them. That was big in the news and you know, all the hyperscale that was crashing the head. I know they've come around that and figured out a way around it, but it's getting there. Some, some organizations and and areas jurisdictions are saying pretty much no data center the law, you know, we're, we just can't do it. And so as you said, so companies like Pure, I mean, our view is that it has an opportunity here to really do our bit for climate change and be able to, you know, drive a sustainable environment. >>And, and at Pure we believe that, you know, today's data success really ultimately hinges on energy efficiency, you know, so to to really be energy efficient means you are gonna be successful long term with data. Because if you think of classic data infrastructures, the legacy infrastructures, you know, we've got disk infrastructures, hybrid infrastructures, flash infrastructures, low end systems, medium end systems, high end systems. So a lot of silos, you know, a lot of inefficiency across the silos. Cause the data doesn't get used across that. In fact, you know, today a lot of data centers are not really built with kind of the efficiency and environmental mindset. So there's a big opportunity there. >>So aj, talk to me about some of the steps that Pure is implementing as its chief product officer. Would love to get your your thoughts, what steps is it implementing to help Pures customers become more sustainable? >>No, absolutely. So essentially we are all inherently motivated, like pure and, and, and, and everybody else to solve problems for customers and really forward the status quo, right? You know, innovation, you know, that's what we are all about. And while we are doing that, the challenge is to how do you make technology and the data we feed into it faster, smarter, scalable obviously, but more importantly sustainable. And you can do all of that, but if you miss the sustainability bit, you're kind of missing the boat. And I also feel from an ethical perspective, that's really important for us. Not only you do all the other things, but also kind of make it sustainable. In fact, today 80% of the companies, the companies are realizing this, 80% today are in fact report out on sustainability, which is great. In fact, 80% of leadership at companies, you know, CEOs and senior executives say they've been impacted by some climate change event, you know, where it's a fire in the place they had to evacuate or floods or storms or hurricanes, you, you name it, right? >>So mitigating the carbon impact can in fact today be a competitive advantage for companies because that's where the puck is going and everybody's, you know, it's skating, wanting to skate towards the, and it's good, it's good business too to be sustainable and, and, and meet these, you know, customer requirements. In fact, the the recent survey that we released today is saying that more and more organizations are kickstarting, their sustainability initiatives and many take are aiming to make a significant progress against that over the next decade. So that's, that's really, you know, part of the big, the really, so our view is that that IT infrastructure, you know, can really make a big push towards greener it and not just kind of greenwash it, but actually, you know, you know, make things more greener and, and, and really take the, the lead in, in esg. And so it's important that organizations can reach alignment with their IT teams and challenge their IT teams to continue to lead, you know, for the organization, the sustainability aspects. >>I'm curious, aj, when you're in customer conversations, are you seeing that it's really the C-suite plus it coming together and, and how does peer help facilitate that? To your point, it needs to be able to deliver this, but it's, it's a board level objective these days. >>Absolutely. We're seeing increasingly, especially in Europe with the, you know, the war in Ukraine and the energy crisis that, you know, that's, that's, you know, unleashed. We definitely see it's becoming a bigger and bigger board level objective for, for a lot of companies. And we definitely see customers in starting to do that. So, so in particular, I do want to touch briefly on what steps we are taking as a company, you know, to to to make it sustainable. And obviously customers are doing all the things we talked about and, and we're also helping them become smarter with data. But the key difference is, you know, we have a big focus on efficiency, which is really optimizing performance per wat with unmatched storage density. So you can reduce the footprint and dramatically lower the power required. And and how efficient is that? You know, compared to other old flash systems, we tend to be one fifth, we tend to take one fifth the power compared to other flash systems and substantially lower compared to spinning this. >>So you can imagine, you know, cutting your, if data center consumption is a 2% of global consumption, roughly 40% of that tends to be storage cause of all the spinning disc. So you add about, you know, 0.8% to global consumption and if you can cut that by four fifths, you know, you can already start to make an impact. So, so we feel we can do that. And also we're quite a bit more denser, 10 times more denser. So imagine one fifth the power, one 10th the density, but then we take it a step further because okay, you've got the storage system in the data center, but what about the end of life aspect? What about the waste and reclamation? So we also have something called non-disruptive upgrades. We, using our AI technology in pure one, we can start to sense when a particular part is going to fail and just before it goes to failure, we actually replace it in a non-disruptive fashion. So customer's data is not impacted and then we recycle that so you get a full end to end life cycle, you know, from all the way from the time you deploy much lower power, much lower density, but then also at the back end, you know, reduction in e-waste and those kind of things. >>That's a great point you, that you bring up in terms of the reclamation process. It sounds like Pure does that on its own, the customer doesn't have to be involved in that. >>That's right. And we do that, it's a part of our evergreen, you know, service that we offer. A lot of customers sign up for that service and in fact they don't even, we tell them, Hey, you know, that part's about to go, we're gonna come in, we're gonna swap it out and, and then we actually recycle that part, >>The power of ai. Love that. What are some of the, the things that companies can do if they're, if they're early in this journey on sustainability, what are some of the specific steps companies can take to get started and maybe accelerate that journey as it's becoming climate change and things are becoming just more and more of a, of a daily topic on the news? >>No, absolutely. There's a lot of things companies can do. In fact, the four four item that we're gonna highlight, the first one is, you know, they can just start by doing a materiality assessment and a materiality assessment essentially engages all the stakeholders to find out which specific issues are important for the business, right? So you identify your key priorities that intersect with what the stakeholders want, you know, your different groups from sales, customers, partners, you know, different departments in the organization. And for example, for us, when we conducted our materiality assessment, for us, our product we felt was the biggest area of focus that could contribute a lot towards, you know, making an impact in, in, in from a sustainability standpoint. That's number one. I think number two companies can also think about taking an Azure service approach. The beauty of the Azure service approach is that you are buying a, your customer, they're buying outcomes with SLAs and, and when you are starting to buy outcomes with SLAs, you can start small and then grow as you consume more. >>So that way you don't have systems sitting idle waiting for you to consume more, right? And that's the beauty of the as service approach. And so for example, for us, you know, we have something called Evergreen one, which is our as service offer, where essentially customers are able to only use and have systems turned onto as much as they're consuming. So, so that reduces the waste associated with underutilized systems, right? That's number two. Number three is also you can optimize your supply chains end to end, right? Basically by making sure you're moving, recycling, packaging and eliminating waste in that thing so you can recycle it back to your suppliers. And you can also choose a sustainable supplier network that following sort of good practices, you know, you know, across the globe and such supply chains that are responsive and diverse can really help you. Also, the big business benefit benefited. >>You can also handle surges and demand, for example, for us during the pandemic with this global supply chain shortages, you know, whereas most of our competitors, you know, lead times went to 40, 50 weeks, our lead times went from three to six weeks cuz you know, we had this sustainable, you know, supply chain. And so all of these things, you know, the three things important, but the fourth thing I say more cultural and, and the cultural thing is how do you actually begin to have sustainability become a core part of your ethos at the company, you know, across all the departments, you know, and we've at Pure, definitely it's big for us, you know, you know, around sustainability starting with a product design, but all of the areas as well, if you follow those four items, they'll do the great place to start. >>That's great advice, great recommendations. You talk about the, the, the supply chain, sustainable supply chain optimization. We've been having a lot of conversations with businesses and vendors alike about that and how important it is. You bring up a great point too on supplier diversity, if we could have a whole conversation on that. Yes. But I'm also glad that you brought up culture that's huge to, for organizations to adopt an ESG strategy and really drive sustainability in their business. It has to become, to your point, part of their ethos. Yes. It's challenging. Cultural change management is challenging. Although I think with climate change and the things that are so public, it's, it's more on, on the top mindset folks. But it's a great point that the organization really as a whole needs to embrace the sustainability mindset so that it as a, as an organization lives and breathes that. Yes. And last question for you is advice. So you, you outlined the Four Steps organizations can take. I look how you made that quite simple. What advice would you give organizations who are on that journey to adopting those, those actions, as you said, as they look to really build and deploy and execute an ESG strategy? >>No, absolutely. And so obviously, you know, the advice is gonna come from, you know, a company like Pure, you know, our background kind of being a supplier of products. And so, you know, our advice is for companies that have products, usually they tend to be the biggest generator, the products that you sell to your, your customers, especially if they've got hardware components in it. But, you know, the biggest generator of e-waste and, and and, and, and, and kind of from a sustainability standpoint. So it's really important to have an intentional design approach towards your products with sustainability in mind. So it's not something that's, that you can handle at the very back end. You design it front in the product and so that sustainable design becomes very intentional. So for us, for example, doing these non-disruptive upgrades had to be designed up front so that, you know, a, you know, one of our repair person could go into a customer shop and be able to pull out a card and put in a new card without any change in the customer system. >>That non-receptive approach, it has to be designed into the hardware software systems to be able to pull that on. And that intentional design enables you to recover pieces just when they're about to fail and then putting them through a recovery, you know, waste recovery process. So that, that's kind of the one thing I would say that philosophy, again, it comes down to if that is, you know, seeping into the culture, into your core ethos, you will start to do, you know, you know, that type of work. So, so I mean it's important thing, you know, look, this year, you know, with the spike in energy prices, you know, you know, gas prices going up, it's super important that all of us, you know, do our bit in there and start to drive products that are fundamentally sustainable, not just at the initial, you know, install point, but from an end to end full life cycle standpoint. >>Absolutely. And I love that you brought up intention that is everything that peers doing is with, with such thought and intention and really for organizations and any industry to become more sustainable, to develop an ESG strategy. To your point, it all needs to start with intention. And of course that that cultural adoption, aj, it's been so great to have you on the program talking about what PEER is doing to help organizations really navigate that path to sustainable it. We appreciate your insights on your time. >>Thank you, Lisa. Pleasure being on board >>At Pure Storage. The opportunity for change and our commitment to a sustainable future are a direct reflection of the way we've always operated and the values we live by every day. We are making significant and immediate impact worldwide through our environmental sustainability efforts. The milestones of change can be seen everywhere in everything we do. Pures Evergreen storage architecture delivers two key environmental benefits to customers, the reduction of wasted energy and the reduction of e-waste. Additionally, pures implemented a series of product packaging redesigns, promoting recycle and reuse in order to reduce waste that will not only benefit our customers, but also the environment. Pure is committed to doing what is right and leading the way with innovation. That has always been the pure difference, making a difference by enabling our customers to drive out energy usage and their data storage systems by up to 80% today, more than 97% of Pure Array purchased six years ago are still in service. And tomorrow our goal for the future is to reduce Scope three emissions Pure is committing to further reducing our sold products emissions by 66% per petabyte by 2030. All of this means what we said at the beginning, change that is simple and that is what it has always been about. Pure has a vision for the future today, tomorrow, forever. >>We're back talking about the path to sustainable it and now we're gonna get the perspective from Mattia Valerio, who is with Elec Informatica and IT services firm and the beautiful Lombardi region of Italy north of Milano. Mattia, welcome to the Cube. Thanks so much for coming on. >>Thank you very much, Dave. Thank you. >>All right, before we jump in, tell us a little bit more about Elec Informatica. What's your focus, talk about your unique value add to customers. >>Yeah, so basically Alma Informatica is middle company from the north part of Italy and is managed service provider in the IT area. Okay. So the, the main focus area of Al Meca is reach digital transformation innovation to our clients with focus on infrastructure services, workplace services, and also cybersecurity services. Okay. And we try to follow the path of our clients to the digital transformation and the innovation through technology and sustainability. >>Yeah. Obviously very hot topics right now. Sustainability, environmental impact, they're growing areas of focus among leaders across all industries. A particularly acute right now in, in Europe with the, you know, the energy challenges you've talked about things like sustainable business. What does that mean? What does that term Yeah. You know, speak to and, and what can others learn from it? >>Yeah. At at, at our approach to sustainability is grounded in science and, and values and also in customer territory, but also employee centered. I mean, we conduct regular assessments to understand the most significant environment and social issues for our business with, with the goal of prioritizing what we do for a sustainability future. Our service delivery methodology, employee care relationship with the local supplier and local area and institution are a major factor for us to, to build a such a responsibility strategy. Specifically during the past year, we have been particularly focused on define sustainability governance in the company based on stakeholder engagement, defining material issues, establishing quantitative indicators to monitor and setting medium to long-term goals. >>Okay, so you have a lot of data. You can go into a customer, you can do an assessment, you can set a baseline, and then you have other data by which you can compare that and, and understand what's achievable. So what's your vision for sustainable business? You know, that strategy, you know, how has it affected your business in terms of the evolution? Cuz this wasn't, hasn't always been as hot a topic as it is today. And and is it a competitive advantage for you? >>Yeah, yeah. For, for, for all intense and proposed sustainability is a competitive advantage for elec. I mean, it's so, because at the time of profound transformation in the work, in the world of work, CSR issues make a company more attractive when searching for new talent to enter in the workforce of our company. In addition, efforts to ensure people's proper work life balance are a strong retention factor. And regarding our business proposition, ELEX attempts is to meet high standard of sustainability and reliability. Our green data center, you said is a prime example of this approach as at the same time, is there a conditioning activity that is done to give a second life to technology devices that come from back from rental? I mean, our customer inquiries with respect to sustainability are increasingly frequent and in depth and which is why we monitor our performance and invest in certification such as EcoVadis or ISO 14,001. Okay, >>Got it. So in a previous life I actually did some work with, with, with power companies and there were two big factors in it that affected the power consumption. Obviously virtualization was a big one, if you could consolidate servers, you know, that was huge. But the other was the advent of flash storage and that was, we used to actually go in with the, the engineers and the power company put in alligator clips to measure of, of, of an all flash array versus, you know, the spinning disc and it was a big impact. So you, I wanna talk about your, your experience with Pure Storage. You use Flash Array and the Evergreen architecture. Can you talk about what your experience there, why did you make that decision to select Pure Storage? How does that help you meet sustainability and operational requirements? Do those benefits scale as your customers grow? What's your experience been? >>Yeah, it was basically an easy and easy answer to our, to our business needs. Okay. Because you said before that in Elec we, we manage a lot of data, okay? And in the past we, we, we see it, we see that the constraints of managing so many, many data was very, very difficult to manage in terms of power consumption or simply for the, the space of storing the data. And when, when Pure came to us and share our products, their vision to the data management journey for Element Informatica, it was very easy to choose pure why with values and numbers. We, we create a business case and we said that we, we see that our power consumption usage was much less, more than 90% of previous technology that we used in the past. Okay. And so of course you have to manage a grade oil deploy of flash technology storage, but it was a good target. >>So we have tried to monitoring the adoption of flash technology and monitor monitoring also the power consumption and the efficiency that the pure technology bring to our, to our IT systems and of course the IT systems of our clients. And so this is one, the first part, the first good part of our trip with, with Pure. And after that we approach also the sustainability in long term of choosing pure technology storage. You mentioned the Evergreen models of Pure, and of course this was, again, challenge for us because it allows, it allow us to extend the life cycle management of our data centers, but also the, IT allows us to improve the facility of the facilities of using technology from our technical side. Okay. So we are much more efficient than in the past with the choose of Pure storage technologies. Okay. Of course, this easy users, easy usage mode, let me say it, allow us to bring this value to our, to all our clients that put their data in our data centers. >>So you talked about how you've seen a 90% improvement relative to previous technologies. I always, I haven't put you in the spot. Yeah, because I, I, I was on Pure's website and I saw in their ESG report some com, you know, it was a comparison with a generic competitor presuming that competitor was not, you know, a 2010 spinning disc system. But, but, so I'm curious as to the results that you're seeing with Pure in terms of footprint and power usage. You, you're referencing some of that. We heard some metrics from Nicole and AJ earlier in the program. Do you think, again, I'm gonna put you in the spot, do you think that Pure's architecture and the way they've applied, whether it's machine intelligence or the Evergreen model, et cetera, is more competitive than other platforms that you've seen? >>Yeah, of course. Is more competitor improve competitive because basically it allows to service provider to do much more efficient value proposition and offer services that are more, that brings more values to, to the customers. Okay. So the customer is always at the center of a proposition of a service provider and trying to adopt the methodology and also the, the value that pure as inside by design in the technology is, is for us very, very, very important and very, very strategic because, because with like a glass, we can, our self transfer try to transfer the values of pure, pure technologies to our service provider client. >>Okay. Matta, let's wrap and talk about sort of near term 2023 and then longer term it looks like sustainability is a topic that's here to stay. Unlike when we were putting alligator clips on storage arrays, trying to help customers get rebates that just didn't have legs. It was too complicated. Now it's a, a topic that everybody's measuring. What's next for elec in its sustainability journey? What advice would you might have? Sustainability leaders that wanna make a meaningful impact on the environment, but also on the bottom line. >>Okay, so sustainability is fortunately a widely spread concept. And our role in, in this great game is to define a strategy, align with the common and fundamentals goals for the future of planet and capable of expressing our inclination and the, and the particularities and accessibility goals in the near future. I, I say, I can say that are will be basically free one define sustainability plan. Okay? It's fundamentals to define a sustainability plan. Then it's very important to monitor the its emissions and we will calculate our carbon footprint. Okay? And least button list produces certifiable and comprehensive sustainability report with respect to the demands of customers, suppliers, and also partners. Okay. So I can say that this three target will be our direction in the, in the future. Okay. >>Yeah. So I mean, pretty straightforward. Make a plan. You gotta monitor and measure, you can't improve what you can't measure. So you gonna set a baseline, you're gonna report on that. Yep. You're gonna analyze the data and you're gonna make continuous improvement. >>Yep. >>Matea, thanks so much for joining us today in sharing your perspectives from the, the northern part of Italy. Really appreciate it. >>Yeah, thank you for having aboard. Thank you very >>Much. It was really our pleasure. Okay, in a moment, I'm gonna be back to wrap up the program and share some resources that could be valuable in your sustainability journey. Keep it right there. >>Sustainability is becoming increasingly important and is hitting more RFPs than ever before as a critical decision point for customers. Environmental benefits are not the only impetus. Rather bottom line cost savings are proving that sustainability actually means better business. You can make a strong business case around sustainability and you should, many more organizations are setting mid and long-term goals for sustainability and putting forth published metrics for shareholders and customers. Whereas early green IT initiatives at the beginning of this century, were met with skepticism and somewhat disappointing results. Today, vendor r and d is driving innovation in system design, semiconductor advancements, automation in machine intelligence that's really beginning to show tangible results. Thankfully. Now remember, all these videos are available on demand@thecube.net. So check them out at your convenience and don't forget to go to silicon angle.com for all the enterprise tech news of the day. You also want to check out pure storage.com. >>There are a ton of resources there. As an aside, pure is the only company I can recall to allow you to access resources like a Gartner Magic Quadrant without forcing you to fill out a lead gen form. So thank you for that. Pure storage, I love that. There's no squeeze page on that. No friction. It's kind of on brand there for pure well done. But to the topic today, sustainability, there's some really good information on the site around esg, Pure's Environmental, social and Governance mission. So there's more in there than just sustainability. You'll see some transparent statistics on things like gender and ethnic diversity, and of course you'll see that Pure has some work to do there. But kudos for publishing those stats transparently and setting goals so we can track your progress. And there's plenty on the sustainability topic as well, including some competitive benchmarks, which are interesting to look at and may give you some other things to think about. We hope you've enjoyed the path to Sustainable it made possible by Pure Storage produced with the Cube, your leader in enterprise and emerging tech, tech coverage.
SUMMARY :
trend, of course, was the cloud model, you know, kind of became a benchmark for it. And then you had innovations like flash storage, which largely eliminated the We hope you enjoyed the program today. At Pure Storage, the opportunity for change and our commitment to a sustainable future Very pleased to be joined by Nicole Johnson, the head of Social What can you tell me what nuggets are in this report? And so, you know, there was some thought that perhaps that might play into AMEA And so, you know, we often hear from customers that What are some of the things that you received despite so many people saying sustainability, And so, you know, we know that to curb the that had closer alignment between the sustainability folks and the IT folks were farther along So, and that, you know, that's now almost three years ago, digital data the respondents to the survey we were discussing, we do And it's great to see the data demonstrating our Scope one and two emissions, which is our own office, our utilities, you know, those, It sounds like you really dialed in on where is the biggest decisions are going to be and helping you to guide sustainable decision My last question for you goes back to that report. And so, you know, especially if you're in a, in a location Nicole, thank you so much for joining me on the program today, it's great to have you back on the program. pure AJ about the role that technology plays in organizations achieving sustainability it's on Facebook or Twitter or you know, your email, people are constantly interacting with you know, tamp down the data center, energy consumption, sorry, you were saying, We expect that you are gonna deliver these relevant, the explosion is to the point where, in fact, if you just recently was in the news that Ireland went So a lot of silos, you know, a lot of inefficiency across the silos. So aj, talk to me about some of the steps that Pure is implementing as its chief product officer. In fact, 80% of leadership at companies, you know, CEOs and senior executives say they've teams and challenge their IT teams to continue to lead, you know, To your point, it needs to be able to deliver this, but it's, it's a board level objective We're seeing increasingly, especially in Europe with the, you know, the war in Ukraine and the the back end, you know, reduction in e-waste and those kind of things. that on its own, the customer doesn't have to be involved in that. they don't even, we tell them, Hey, you know, that part's about to go, we're gonna come in, we're gonna swap it out and, companies can take to get started and maybe accelerate that journey as it's becoming climate the biggest area of focus that could contribute a lot towards, you know, making an impact in, So that way you don't have systems sitting idle waiting for you to consume more, and the cultural thing is how do you actually begin to have sustainability become But I'm also glad that you brought up culture that's And so obviously, you know, the advice is gonna come from, you know, it comes down to if that is, you know, seeping into the culture, into your core ethos, it's been so great to have you on the program talking about what PEER is doing to help organizations really are a direct reflection of the way we've always operated and the values we live by every We're back talking about the path to sustainable it and now we're gonna get the perspective from All right, before we jump in, tell us a little bit more about Elec Informatica. in the IT area. right now in, in Europe with the, you know, the energy challenges you've talked about things sustainability governance in the company based on stakeholder engagement, You know, that strategy, you know, how has it affected your business in terms of the evolution? Our green data center, you of, of, of an all flash array versus, you know, the spinning disc and it was a big impact. And so of course you have to manage a grade oil deploy of the facilities of using technology from our that competitor was not, you know, a 2010 spinning disc system. So the customer is always at the center of a proposition What advice would you might have? monitor the its emissions and we will calculate our So you gonna set a baseline, you're gonna report on that. the northern part of Italy. Yeah, thank you for having aboard. Okay, in a moment, I'm gonna be back to wrap up the program and share some resources case around sustainability and you should, many more organizations are setting mid can recall to allow you to access resources like a Gartner Magic Quadrant without forcing
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Dan Kogan, Pure Storage & Venkat Ramakrishnan, Portworx by Pure Storage | AWS re:Invent 2022
(upbeat music) >> Welcome back to Vegas. Lisa Martin and Dave Vellante here with theCUBE live on the Venetian Expo Hall Floor, talking all things AWS re:Invent 2022. This is the first full day of coverage. It is jam-packed here. People are back. They are ready to hear all the new innovations from AWS. Dave, how does it feel to be back yet again in Vegas? >> Yeah, Vegas. I think it's my 10th time in Vegas this year. So, whatever. >> This year alone. You must have a favorite steak restaurant then. >> There are several. The restaurants in Vegas are actually really good. >> You know? >> They are good. >> They used to be terrible. But I'll tell you. My favorite? The place that closed. >> Oh! >> Yeah, closed. In between where we are in the Wynn and the Venetian. Anyway. >> Was it CUT? >> No, I forget what the name was. >> Something else, okay. >> It was like a Greek sort of steak place. Anyway. >> Now, I'm hungry. >> We were at Pure Accelerate a couple years ago. >> Yes, we were. >> When they announced Cloud Block Store. >> That's right. >> Pure was the first- >> In Austin. >> To do that. >> Yup. >> And then they made the acquisition of Portworx which was pretty prescient given that containers have been going through the roof. >> Yeah. >> So I'm sort of excited to have these guys on and talk about that. >> We're going to unpack all of this. We've got one of our alumni back with us, Venkat Ramakrishna, VP of Product, Portworx by Pure Storage. And Dan Kogan joins us for the first time, VP of Product Management and Product Marketing, FlashArray at Pure Storage. Guys, welcome to the program. >> Thank you. >> Hey, guys. >> Dan: Thanks for having us. >> Do you have a favorite steak restaurant in Vegas? Dave said there's a lot of good choices. >> There's a lot of good steak restaurants here. >> I like SDK. >> Yeah, that's a good one. >> That's the good one. >> That's a good one. >> Which one? >> SDK. >> SDK. >> Where's that? >> It's, I think, in Cosmopolitan. >> Ooh. >> Yeah. >> Oh, yeah, yeah, yeah. >> It's pretty good, yeah. >> There's one of the Western too that's pretty. >> I'm an Herbs and Rye guy. Have you ever been there? >> No. >> No. >> Herbs and Rye is off strip, but it's fantastic. It's kind of like a locals joint. >> I have to dig through all of this great stuff today and then check that out. Talk to me. This is our first day, obviously. First main day. I want to get both of your perspectives. Dan, we'll start with you since you're closest to me. How are you finding this year's event so far? Obviously, tons of people. >> Busy. >> Busy, yeah. >> Yeah, it is. It is old times. Bigger, right? Last re:Invent I was at was 2019 right before everything shut down and it's probably half the size of this which is a different trend than I feel like most other tech conferences have gone where they've come back, but a little bit smaller. re:Invent seems to be the IT show. >> It really does. Venkat, are you finding the same? In terms of what you're experiencing so far on day one of the events? >> Yeah, I mean... There's tremendous excitement. Overall, I think it's good to be back. Very good crowd, great turnout, lot of excitement around some of the new offerings we've announced. The booth traffic has been pretty good. And just the quality of the conversations, the customer meetings, have been really good. There's very interesting use cases shaping up and customers really looking to solve real large scale problems. Yeah, it's been a phenomenal first day. >> Venkat, talk a little bit about, and then we'll get to you Dan as well, the relationship that Portworx by Pure Storage has with AWS. Maybe some joint customers. >> Yeah, so we... Definitely, we have been a partner of AWS for quite some time, right? Earlier this year, we signed what is called a strategic investment letter with AWS where we kind of put some joint effort together like to better integrate our products. Plus, kind of get in front of our customers more together and educate them on how going to how they can deploy and build vision critical apps on EKS and EKS anywhere and Outpost. So that partnership has grown a lot over the last year. We have a lot of significant mutual customer wins together both on the public cloud on EKS as well as on EKS anywhere, right? And there are some exciting use cases around Edge and Edge deployments and different levels of Edge as well with EKS anywhere. And there are pretty good wins on the Outpost as well. So that partnership I think is kind of like growing across not just... We started off with the one product line. Now our Portworx backup as a service is also available on EKS and along with the Portworx Data Services. So, it is also expanded across the product lanes as well. >> And then Dan, you want to elaborate a bit on AWS Plus Pure? >> Yeah, it's for kind of what we'll call the core Pure business or the traditional Pure business. As Dave mentioned, Cloud Block Store is kind of where things started and we're seeing that move and evolve from predominantly being a DR site and kind of story into now more and more production applications being lifted and shifted and running now natively in AWS honor storage software. And then we have a new product called Pure Fusion which is our storage as code automation product essentially. It takes you from moving and managing of individual arrays, now obfuscates a fleet level allows you to build a very cloud-like backend and consume storage as code. Very, very similar to how you do with AWS, with an EBS. That product is built in AWS. So it's a SaaS product built in AWS, really allowing you to turn your traditional Pure storage into an AWS-like experience. >> Lisa: Got it. >> What changed with Cloud Block Store? 'Cause if I recall, am I right that you basically did it on S3 originally? >> S3 is a big... It's a number of components. >> And you had a high performance EC2 instances. >> Dan: Yup, that's right. >> On top of lower cost object store. Is that still the case? >> That's still the architecture. Yeah, at least for AWS. It's a different architecture in Azure where we leverage their disc storage more. But in AWS were just based on essentially that backend. >> And then what's the experience when you go from, say, on-prem to AWS to sort of a cross cloud? >> Yeah, very, very simple. It's our replication technology built in. So our sync rep, our async rep, our active cluster technology is essentially allowing you to move the data really, really seamlessly there and then again back to Fusion, now being that kind of master control plan. You can have availability zones, running Cloud Block Store instances in AWS. You can be running your own availability zones in your data centers wherever those may happen to be, and that's kind of a unification layer across it all. >> It looks the same to the customer. >> To the customer, at the end of the day, it's... What the customer sees is the purity operating system. We have FlashArray proprietary hardware on premises. We have AWS's hardware that we run it on here. But to the customer, it's just the FlashArray. >> That's a data super cloud actually. Yeah, it's a data super cloud. >> I'd agree. >> It spans multiple clouds- >> Multiple clouds on premises. >> It extracts all the complexity of the underlying muck and the primitives and presents a common experience. >> Yeah, and it's the same APIs, same management console. >> Dave: Yeah, awesome. >> Everything's the same. >> See? It's real. It's a thing, On containers, I have a question. So we're in this environment, everybody wants to be more efficient, what's happening with containers? Is there... The intersection of containers and serverless, right? You think about all the things you have to do to run containers in VMs, configure everything, configure the memory, et cetera, and then serverless simplifies all that. I guess Knative in between or I guess Fargate. What are you seeing with customers between stateless apps, stateful apps, and how it all relates to containers? >> That's a great question, right? I think that one of the things that what we are seeing is that as people run more and more workloads in the cloud, right? There's this huge movement towards being the ability to bring these applications to run anywhere, right? Not just in one public cloud, but in the data centers and sometimes the Edge clouds. So there's a lot of portability requirements for the applications, right? I mean, yesterday morning I was having breakfast with a customer who is a big AWS customer but has to go into an on-prem air gap deployment for one of their large customers and is kind of re-platforming some other apps into containers in Kubernetes because it makes it so much easier for them to deploy. So there is no longer the debate of, is it stateless versus it stateful, it's pretty much all applications are moving to containers, right? And in that, you see people are building on Kubernetes and containers is because they wanted multicloud portability for their applications. Now the other big aspect is cost, right? You can significantly run... You know, like lower cost by running with Kubernetes and Portworx and by on the public cloud or on a private cloud, right? Because it lets you get more out of your infrastructure. You're not all provisioning your infrastructure. You are like just deploying the just-enough infrastructure for your application to run with Kubernetes and scale it dynamically as your application load scales. So, customers are better able to manage costs. >> Does serverless play in here though? Right? Because if I'm running serverless, I'm not paying for the compute the whole time. >> Yeah. >> Right? But then stateless and stateful come into play. >> Serverless has a place, but it is more for like quick event-driven decision. >> Dave: The stateless apps. >> You know, stuff that needs to happen. The serverless has a place, but majority of the applications have need compute and more compute to run because there's like a ton of processing you have to do, you're serving a whole bunch of users, you're serving up media, right? Those are not typically good serverless apps, right? The several less apps do definitely have a place. There's a whole bunch of minor code snippets or events you need to process every now and then to make some decisions. In that, yeah, you see serverless. But majority of the apps are still requiring a lot of compute and scaling the compute and scaling storage requirements at a time. >> So what Venkat was talking about is cost. That is probably our biggest tailwind from a cloud adoption standpoint. I think initially for on-premises vendors like Pure Storage or historically on-premises vendors, the move to the cloud was a concern, right? In that we're getting out the data center business, we're going all in on the cloud, what are you going to do? That's kind of why we got ahead of that with Cloud Block Store. But as customers have matured in their adoption of cloud and actually moved more applications, they're becoming much more aware of the costs. And so anywhere you can help them save money seems to drive adoption. So they see that on the Kubernetes side, on our side, just by adding in things that we do really well: Data reduction, thin provisioning, low cost snaps. Those kind of things, massive cost savings. And so it's actually brought a lot of customers who thought they weren't going to be using our storage moving forward back into the fold. >> Dave: Got it. >> So cost saving is great, huge business outcomes potentially for customers. But what are some of the barriers that you're helping customers to overcome on the storage side and also in terms of moving applications to Kubernetes? What are some of those barriers that you could help us? >> Yeah, I mean, I can answer it simply from a core FlashArray side, it's enabling migration of applications without having to refactor them entirely, right? That's Kubernetes side is when they think about changing their applications and building them, we'll call quote unquote more cloud native, but there are a lot of customers that can't or won't or just aren't doing that, but they want to run those applications in the cloud. So the movement is easier back to your data super cloud kind of comment, and then also eliminating this high cost associated with it. >> I'm kind of not a huge fan of the whole repatriation narrative. You know, you look at the numbers and it's like, "Yeah, there's something going on." But the one use case that looks like it's actually valid is, "I'm going to test in the cloud and I'm going to deploy on-prem." Now, I dunno if that's even called repatriation, but I'm looking to help the repatriation narrative because- >> Venkat: I think it's- >> But that's a real thing, right? >> Yeah, it's more than repatriation, right? It's more about the ability to run your app, right? It's not just even test, right? I mean, you're going to have different kinds of governance and compliance and regulatory requirements have to run your apps in different kinds of cloud environments, right? There are certain... Certain regions may not have all of the compliance and regulatory requirements implemented in that cloud provider, right? So when you run with Kubernetes and containers, I mean, you kind of do the transformation. So now you can take that app and run an infrastructure that allows you to deliver under those requirements as well, right? So that portability is the major driver than repatriation. >> And you would do that for latency reasons? >> For latency, yeah. >> Or data sovereign? >> Data sovereignty. >> Data sovereignty. >> Control. >> I mean, yeah. Availability of your application and data just in that region, right? >> Okay, so if the capability is not there in the cloud region, you come in and say, "Hey, we can do that on-prem or in a colo and get you what you need to comply to your EDX." >> Yeah, or potentially moves to a different cloud provider. It's just a lot more control that you're providing on customer at the end of the day. >> What's that move like? I mean, now you're moving data and everybody's going to complain about egress fees. >> Well, you shouldn't be... I think it's more of a one-time move. You're probably not going to be moving data between cloud providers regularly. But if for whatever reasons you decide that I'm going to stop running in X Cloud and I'm going to move to this cloud, what's the most seamless way to do? >> So a customer might say, "Okay, that's certification's not going to be available in this region or gov cloud or whatever for a year, I need this now." >> Yeah, or various commercial. Whatever it might be. >> "And I'm going to make the call now, one-way door, and I'm going to keep it on-prem." And then worry about it down the road. Okay, makes sense. >> Dan, I got to talk to you about the sustainability element there because it's increasingly becoming a priority for organizations in every industry where they need to work with companies that really have established sustainability programs. What are some of the factors that you talk with customers about as they have choice in all FlashArray between Pure and competitors where sustainability- >> Yeah, I mean we've leaned very heavily into that from a marketing standpoint recently because it has become so top of mind for so many customers. But at the end of the day, sustainability was built into the core of the Purity operating system in FlashArray back before it was FlashArray, right? In our early generation of products. The things that drive that sustainability of high density, high data reduction, small footprint, we needed to build that for Pure to exist as a company. And we are maybe kind of the last all-flash vendor standing that came ground up all-flash, not just the disc vendor that's refactored, right? And so that's sort of engineering from the ground up that's deeply, deeply into our software as a huge sustainability payout now. And we see that and that message is really, really resonating with customers. >> I haven't thought about that in a while. You actually are. I don't think there's any other... Nobody else made it through the knothole. And you guys hit escape velocity and then some. >> So we hit escape velocity and it hasn't slowed down, right? Earnings will be tomorrow, but the last many quarters have been pretty good. >> Yeah, we follow you pretty closely. I mean, there was one little thing in the pandemic and then boom! It's just kept cranking since, so. >> So at the end of the day though, right? We needed that level to be economically viable as a flash bender going against disc. And now that's really paying off in a sustainability equation as well because we consume so much less footprint, power cooling, all those factors. >> And there's been some headwinds with none pricing up until recently too that you've kind of blown right through. You know, you dealt with the supply issues and- >> Yeah, 'cause the overall... One, we've been, again, one of the few vendors that's been able to navigate supply really well. We've had no major delays in disruptions, but the TCO argument's real. Like at the end of the day, when you look at the cost of running on Pure, it's very, very compelling. >> Adam Selipsky made the statement, "If you're looking to tighten your belt, the cloud is the place to do it." Yeah, okay. It might be that, but... Maybe. >> Maybe, but you can... So again, we are seeing cloud customers that are traditional Pure data center customers that a few years ago said, "We're moving these applications into the cloud. You know, it's been great working with you. We love Pure. We'll have some on-prem footprint, but most of everything we're going to do is in the cloud." Those customers are coming back to us to keep running in the cloud. Because again, when you start to factor in things like thin provisioning, data reduction, those don't exist in the cloud. >> So, it's not repatriation. >> It's not repatriation. >> It's we want Pure in the cloud. >> Correct. We want your software. So that's why we built CBS, and we're seeing that come all the way through. >> There's another cost savings is on the... You know, with what we are doing with Kubernetes and containers and Portworx Data Services, right? So when we run Portworx Data Services, typically customers spend a lot of money in running the cloud managed services, right? Where there is obviously a sprawl of those, right? And then they end up spending a lot of item costs. So when we move that, like when they run their data, like when they move their databases to Portworx Data Services on Kubernetes, because of all of the other cost savings we deliver plus the licensing costs are a lot lower, we deliver 5X to 10X savings to our customers. >> Lisa: Significant. >> You know, significant savings on cloud as well. >> The operational things he's talking about, too. My Fusion engineering team is one of his largest customers from Portworx Data Services. Because we don't have DBAs on that team, it's just developers. But they need databases. They need to run those databases. We turn to PDS. >> This is why he pays my bills. >> And that's why you guys have to come back 'cause we're out of time, but I do have one final question for each of you. Same question. We'll start with you Dan, the Venkat we'll go to you. Billboard. Billboard or a bumper sticker. We'll say they're going to put a billboard on Castor Street in Mountain View near the headquarters about Pure, what does it say? >> The best container for containers. (Dave and Lisa laugh) >> Venkat, Portworx, what's your bumper sticker? >> Well, I would just have one big billboard that goes and says, "Got PX?" With the question mark, right? And let people start thinking about, "What is PX?" >> I love that. >> Dave: Got Portworx, beautiful. >> You've got a side career in marketing, I can tell. >> I think they moved him out of the engineering. >> Ah, I see. We really appreciate you joining us on the program this afternoon talking about Pure, Portworx, AWS. Really compelling stories about how you're helping customers just really make big decisions and save considerable costs. We appreciate your insights. >> Awesome. Great. Thanks for having us. >> Thanks, guys. >> Thank you. >> For our guests and for Dave Vellante, I'm Lisa Martin. You're watching theCUBE, the leader in live enterprise and emerging tech coverage. (upbeat music)
SUMMARY :
This is the first full day of coverage. I think it's my 10th You must have a favorite are actually really good. The place that closed. the Wynn and the Venetian. the name was. It was like a Greek a couple years ago. And then they made the to have these guys on We're going to unpack all of this. Do you have a favorite There's a lot of good There's one of the I'm an Herbs and Rye guy. It's kind of like a locals joint. I have to dig through all and it's probably half the size of this so far on day one of the events? and customers really looking to solve and then we'll get to you Dan as well, a lot over the last year. the core Pure business or the It's a number of components. And you had a high Is that still the case? That's still the architecture. and then again back to Fusion, it's just the FlashArray. Yeah, it's a data super cloud. and the primitives and Yeah, and it's the same APIs, and how it all relates to containers? and by on the public cloud I'm not paying for the But then stateless and but it is more for like and scaling the compute the move to the cloud on the storage side So the movement is easier and I'm going to deploy on-prem." So that portability is the Availability of your application and data Okay, so if the capability is not there on customer at the end of the day. and everybody's going to and I'm going to move to this cloud, not going to be available Yeah, or various commercial. and I'm going to keep it on-prem." What are some of the factors that you talk But at the end of the day, And you guys hit escape but the last many quarters Yeah, we follow you pretty closely. So at the end of the day though, right? the supply issues and- Like at the end of the day, the cloud is the place to do it." applications into the cloud. come all the way through. because of all of the other You know, significant They need to run those databases. the Venkat we'll go to you. (Dave and Lisa laugh) I can tell. out of the engineering. We really appreciate you Thanks for having us. the leader in live enterprise
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Justin Emerson, Pure Storage | SuperComputing 22
(soft music) >> Hello, fellow hardware nerds and welcome back to Dallas Texas where we're reporting live from Supercomputing 2022. My name is Savannah Peterson, joined with the John Furrier on my left. >> Looking good today. >> Thank you, John, so are you. It's been a great show so far. >> We've had more hosts, more guests coming than ever before. >> I know. >> Amazing, super- >> We've got a whole thing going on. >> It's been a super computing performance. >> It, wow. And, we'll see how many times we can say super on this segment. Speaking of super things, I am in a very unique position right now. I am a flanked on both sides by people who have been doing content on theCUBE for 12 years. Yes, you heard me right, our next guest was on theCUBE 12 years ago, the third event, was that right, John? >> Man: First ever VM World. >> Yeah, the first ever VM World, third event theCUBE ever did. We are about to have a lot of fun. Please join me in welcoming Justin Emerson of Pure Storage. Justin, welcome back. >> It's a pleasure to be here. It's been too long, you never call, you don't write. (Savannah laughs) >> Great to see you. >> Yeah, likewise. >> How fun is this? Has the set evolved? Is everything looking good? >> I mean, I can barely remember what happened last week, so. (everyone laughs) >> Well, I remember lot's changed that VM world. You know, Paul Moritz was the CEO if you remember at that time. His actual vision actually happened but not the way, for VMware, but the industry, the cloud, he called the software mainframe. We were kind of riffing- >> It was quite the decade. >> Unbelievable where we are now, how we got here, but not where we're going to be. And you're with Pure Storage now which we've been, as you know, covering as well. Where's the connection into the supercomputing? Obviously storage performance, big part of this show. >> Right, right. >> What's the take? >> Well, I think, first of all it's great to be back at events in person. We were talking before we went on, and it's been so great to be back at live events now. It's been such a drought over the last several years, but yeah, yeah. So I'm very glad that we're doing in person events again. For Pure, this is an incredibly important show. You know, the product that I work with, with FlashBlade is you know, one of our key areas is specifically in this high performance computing, AI machine learning kind of space. And so we're really glad to be here. We've met a lot of customers, met a lot of other folks, had a lot of really great conversations. So it's been a really great show for me. And also just seeing all the really amazing stuff that's around here, I mean, if you want to find, you know, see what all the most cutting edge data center stuff that's going to be coming down the pipe, this is the place to do it. >> So one of the big themes of the show for us and probably, well, big theme of your life, is balancing power efficiency. You have a product in this category, Direct Flash. Can you tell us a little bit more about that? >> Yeah, so Pure as a storage company, right, what do we do differently from everybody else? And if I had to pick one thing, right, I would talk about, it's, you know, as the name implies, we're an all, we're purely flash, we're an all flash company. We've always been, don't plan to be anything else. And part of that innovation with Direct Flash is the idea of rather than treating a solid state disc as like a hard drive, right? Treat it as it actually is, treat it like who it really is and that's a very different kind of thing. And so Direct Flash is all about bringing native Flash interfaces to our product portfolio. And what's really exciting for me as a FlashBlade person, is now that's also part of our FlashBlade S portfolio, which just launched in June. And so the benefits of that are our myriad. But, you know, talking about efficiency, the biggest difference is that, you know, we can use like 90% less DRAM in our drives, which you know, everything uses, everything that you put in a drive uses power, it adds cost and all those things and so that really gives us an efficiency edge over everybody else and at a show like this, where, I mean, you walk the aisles and there's there's people doing liquid cooling and so much immersion stuff, and the reason they're doing that is because power is just increasing everywhere, right? So if you can figure out how do we use less power in some areas means you can shift that budget to other places. So if you can talk to a customer and say, well, if I could shrink your power budget for storage by two thirds or even, save you two-thirds of power, how many more accelerators, how many more CPUs, how much more work could you actually get done? So really exciting. >> I mean, less power consumption, more power and compute. >> Right. >> Kind of power center. So talk about the AI implications, where the use cases are. What are you seeing here? A lot of simulations, a lot of students, again, dorm room to the boardroom we've been saying here on theCUBE this is a great broad area, where's the action in the ML and the AI for you guys? >> So I think, not necessarily storage related but I think that right now there's this enormous explosion of custom silicon around AI machine learning which I as a, you said welcome hardware nerds at the beginning and I was like, ah, my people. >> We're all here, we're all here in Dallas. >> So wonderful. You know, as a hardware nerd we're talking about conferences, right? Who has ever attended hot chips and there's so much really amazing engineering work going on in the silicon space. It's probably the most exciting time for, CPU and accelerator, just innovation in, since the days before X 86 was the defacto standard, right? And you could go out and buy a different workstation with 16 different ISAs. That's really the most exciting thing, I walked past so many different places where you know, our booth is right next to Havana Labs with their gout accelerator, and they're doing this cute thing with one of the AI image generators in their booth, which is really cute. >> Woman: We're going to have to go check that out. >> Yeah, but that to me is like one of the more exciting things around like innovation at a, especially at a show like this where it's all about how do we move forward, the state of the art. >> What's different now than just a few years ago in terms of what's opening up the creativity for people to look at things that they could do with some of the scale that's different now. >> Yeah well, I mean, every time the state of the art moves forward what it means is, is that the entry level gets better, right? So if the high end is going faster, that means that the mid-range is going faster, and that means the entry level is going faster. So every time it pushes the boundary forward, it's a rising tide that floats all boats. And so now, the kind of stuff that's possible to do, if you're a student in a dorm room or if you're an enterprise, the world, the possible just keeps expanding dramatically and expanding almost, you know, geometrically like the amount of data that we are, that we have, as a storage guy, I was coming back to data but the amount of data that we have and the amount of of compute that we have, and it's not just about the raw compute, but also the advances in all sorts of other things in terms of algorithms and transfer learning and all these other things. There's so much amazing work going on in this area and it's just kind of this Kay Green explosion of innovation in the area. >> I love that you touched on the user experience for the community, no matter the level that you're at. >> Yeah. >> And I, it's been something that's come up a lot here. Everyone wants to do more faster, always, but it's not just that, it's about making the experience and the point of entry into this industry more approachable and digestible for folks who may not be familiar, I mean we have every end of the ecosystem here, on the show floor, where does Pure Storage sit in the whole game? >> Right, so as a storage company, right? What AI is all about deriving insights from data, right? And so everyone remembers that magazine cover data's the new oil, right? And it's kind of like, okay, so what do you do with it? Well, how do you derive value from all of that data? And AI machine learning and all of this supercomputing stuff is about how do we take all this data? How do we innovate with it? And so if you want data to innovate with, you need storage. And so, you know, our philosophy is that how do we make the best storage platforms that we can using the best technology for our customers that enable them to do really amazing things with AI machine learning and we've got different products, but, you know at the show here, what we're specifically showing off is our new flashlight S product, which, you know, I know we've had Pure folks on theCUBE before talking about FlashBlade, but for viewers out there, FlashBlade is our our scale out unstructured data platform and AI and machine learning and supercomputing is all about unstructured data. It's about sensor data, it's about imaging, it's about, you know, photogrammetry, all this other kinds of amazing stuff. But, you got to land all that somewhere. You got to process that all somewhere. And so really high performance, high throughput, highly scalable storage solutions are really essential. It's an enabler for all of the amazing other kinds of engineering work that goes on at a place like Supercomputing. >> It's interesting you mentioned data's oil. Remember in 2010, that year, our first year of theCUBE, Hadoop World, Hadoop just started to come on the scene, which became, you know kind of went away and, but now you got, Spark and Databricks and Snowflake- >> Justin: And it didn't go away, it just changed, right? >> It just got refactored and right size, I think for what the people wanted it to be easy to use but there's more data coming. How is data driving innovation as you bring, as people see clearly the more data's coming? How is data driving innovation as you guys look at your products, your roadmap and your customer base? How is data driving innovation for your customers? >> Well, I think every customer who has been, you know collecting all of this data, right? Is trying to figure out, now what do I do with it? And a lot of times people collect data and then it will end up on, you know, lower slower tiers and then suddenly they want to do something with it. And it's like, well now what do I do, right? And so there's all these people that are reevaluating you know, we, when we developed FlashBlade we sort of made this bet that unstructured data was going to become the new tier one data. It used to be that we thought unstructured data, it was emails and home directories and all that stuff the kind of stuff that you didn't really need a really good DR plan on. It's like, ah, we could, now of course, as soon as email goes down, you realize how important email is. But, the perspectives that people had on- >> Yeah, exactly. (all laughing) >> The perspectives that people had on unstructured data and it's value to the business was very different and so now- >> Good bet, by the way. >> Yeah, thank you. So now unstructured data is considered, you know, where companies are going to derive their value from. So it's whether they use the data that they have to build better products whether it's they use the data they have to develop you know, improvements in processes. All those kinds of things are data driven. And so all of the new big advancements in industry and in business are all about how do I derive insights from data? And so machine learning and AI has something to do with that, but also, you know, it all comes back to having data that's available. And so, we're working very hard on building platforms that customers can use to enable all of this really- >> Yeah, it's interesting, Savannah, you know, the top three areas we're covering for reinventing all the hyperscale events is data. How does it drive innovation and then specialized solutions to make customers lives easier? >> Yeah. >> It's become a big category. How do you compose stuff and then obviously compute, more and more compute and services to make the performance goes. So those seem to be the three hot areas. So, okay, data's the new oil refineries. You've got good solutions. What specialized solutions do you see coming out because once people have all this data, they might have either large scale, maybe some edge use cases. Do you see specialized solutions emerging? I mean, obviously it's got DPU emerging which is great, but like, do you see anything else coming out at that people are- >> Like from a hardware standpoint. >> Or from a customer standpoint, making the customer's lives easier? So, I got a lot of data flowing in. >> Yeah. >> It's never stopping, it keeps powering in. >> Yeah. >> Are there things coming out that makes their life easier? Have you seen anything coming out? >> Yeah, I think where we are as an industry right now with all of this new technology is, we're really in this phase of the standards aren't quite there yet. Everybody is sort of like figuring out what works and what doesn't. You know, there was this big revolution in sort of software development, right? Where moving towards agile development and all that kind of stuff, right? The way people build software change fundamentally this is kind of like another wave like that. I like to tell people that AI and machine learning is just a different way of writing software. What is the output of a training scenario, right? It's a model and a model is just code. And so I think that as all of these different, parts of the business figure out how do we leverage these technologies, what it is, is it's a different way of writing software and it's not necessarily going to replace traditional software development, but it's going to augment it, it's going to let you do other interesting things and so, where are things going? I think we're going to continue to start coalescing around what are the right ways to do things. Right now we talk about, you know, ML Ops and how development and the frameworks and all of this innovation. There's so much innovation, which means that the industry is moving so quickly that it's hard to settle on things like standards and, or at least best practices you know, at the very least. And that the best practices are changing every three months. Are they really best practices right? So I think, right, I think that as we progress and coalesce around kind of what are the right ways to do things that's really going to make customers' lives easier. Because, you know, today, if you're a software developer you know, we build a lot of software at Pure Storage right? And if you have people and developers who are familiar with how the process, how the factory functions, then their skills become portable and it becomes easier to onboard people and AI is still nothing like that right now. It's just so, so fast moving and it's so- >> Wild West kind of. >> It's not standardized. It's not industrialized, right? And so the next big frontier in all of this amazing stuff is how do we industrialize this and really make it easy to implement for organizations? >> Oil refineries, industrial Revolution. I mean, it's on that same trajectory. >> Yeah. >> Yeah, absolutely. >> Or industrial revolution. (John laughs) >> Well, we've talked a lot about the chaos and sort of we are very much at this early stage stepping way back and this can be your personal not Pure Storage opinion if you want. >> Okay. >> What in HPC or AIML I guess it all falls under the same umbrella, has you most excited? >> Ooh. >> So I feel like you're someone who sees a lot of different things. You've got a lot of customers, you're out talking to people. >> I think that there is a lot of advancement in the area of natural language processing and I think that, you know, we're starting to take things just like natural language processing and then turning them into vision processing and all these other, you know, I think the, the most exciting thing for me about AI is that there are a lot of people who are, you are looking to use these kinds of technologies to make technology more inclusive. And so- >> I love it. >> You know the ability for us to do things like automate captioning or the ability to automate descriptive, audio descriptions of video streams or things like that. I think that those are really,, I think they're really great in terms of bringing the benefits of technology to more people in an automated way because the challenge has always been bandwidth of how much a human can do. And because they were so difficult to automate and what AI's really allowing us to do is build systems whether that's text to speech or whether that's translation, or whether that's captioning or all these other things. I think the way that AI interfaces with humans is really the most interesting part. And I think the benefits that it can bring there because there's a lot of talk about all of the things that it does that people don't like or that they, that people are concerned about. But I think it's important to think about all the really great things that maybe don't necessarily personally impact you, but to the person who's not cited or to the person who you know is hearing impaired. You know, that's an enormously valuable thing. And the fact that those are becoming easier to do they're becoming better, the quality is getting better. I think those are really important for everybody. >> I love that you brought that up. I think it's a really important note to close on and you know, there's always the kind of terminator, dark side that we obsess over but that's actually not the truth. I mean, when we think about even just captioning it's a tool we use on theCUBE. It's, you know, we see it on our Instagram stories and everything else that opens the door for so many more people to be able to learn. >> Right? >> And the more we all learn, like you said the water level rises together and everything is magical. Justin, it has been a pleasure to have you on board. Last question, any more bourbon tasting today? >> Not that I'm aware of, but if you want to come by I'm sure we can find something somewhere. (all laughing) >> That's the spirit, that is the spirit of an innovator right there. Justin, thank you so much for joining us from Pure Storage. John Furrier, always a pleasure to interview with you. >> I'm glad I can contribute. >> Hey, hey, that's the understatement of the century. >> It's good to be back. >> Yeah. >> Hopefully I'll see you guys in, I'll see you guys in 2034. >> No. (all laughing) No, you've got the Pure Accelerate conference. We'll be there. >> That's right. >> We'll be there. >> Yeah, we have our Pure Accelerate conference next year and- >> Great. >> Yeah. >> I love that, I mean, feel free to, you know, hype that. That's awesome. >> Great company, great runs, stayed true to the mission from day one, all Flash, continue to innovate congratulations. >> Yep, thank you so much, it's pleasure being here. >> It's a fun ride, you are a joy to talk to and it's clear you're just as excited as we are about hardware, so thanks a lot Justin. >> My pleasure. >> And thank all of you for tuning in to this wonderfully nerdy hardware edition of theCUBE live from Dallas, Texas, where we're at, Supercomputing, my name's Savannah Peterson and I hope you have a wonderful night. (soft music)
SUMMARY :
and welcome back to Dallas Texas It's been a great show so far. We've had more hosts, more It's been a super the third event, was that right, John? Yeah, the first ever VM World, It's been too long, you I mean, I can barely remember for VMware, but the industry, the cloud, as you know, covering as well. and it's been so great to So one of the big the biggest difference is that, you know, I mean, less power consumption, in the ML and the AI for you guys? nerds at the beginning all here in Dallas. places where you know, have to go check that out. Yeah, but that to me is like one of for people to look at and the amount of of compute that we have, I love that you touched and the point of entry It's an enabler for all of the amazing but now you got, Spark and as you guys look at your products, the kind of stuff that Yeah, exactly. And so all of the new big advancements Savannah, you know, but like, do you see a hardware standpoint. the customer's lives easier? It's never stopping, it's going to let you do And so the next big frontier I mean, it's on that same trajectory. (John laughs) a lot about the chaos You've got a lot of customers, and I think that, you know, or to the person who you and you know, there's always And the more we all but if you want to come by that is the spirit of an Hey, hey, that's the Hopefully I'll see you guys We'll be there. free to, you know, hype that. all Flash, continue to Yep, thank you so much, It's a fun ride, you and I hope you have a wonderful night.
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Breaking Analysis: Even the Cloud Is Not Immune to the Seesaw Economy
>>From the Cube Studios in Palo Alto in Boston, bringing you data driven insights from the cube and etr. This is breaking analysis with Dave Ante. >>Have you ever been driving on the highway and traffic suddenly slows way down and then after a little while it picks up again and you're cruising along and you're thinking, Okay, hey, that was weird. But it's clear sailing now. Off we go, only to find out in a bit that the traffic is building up ahead again, forcing you to pump the brakes as the traffic pattern ebbs and flows well. Welcome to the Seesaw economy. The fed induced fire that prompted an unprecedented rally in tech is being purposefully extinguished now by that same fed. And virtually every sector of the tech industry is having to reset its expectations, including the cloud segment. Hello and welcome to this week's Wikibon Cube Insights powered by etr. In this breaking analysis will review the implications of the earnings announcements from the big three cloud players, Amazon, Microsoft, and Google who announced this week. >>And we'll update you on our quarterly IAS forecast and share the latest from ETR with a focus on cloud computing. Now, before we get into the new data, we wanna review something we shared with you on October 14th, just a couple weeks back, this is sort of a, we told you it was coming slide. It's an XY graph that shows ET R'S proprietary net score methodology on the vertical axis. That's a measure of spending momentum, spending velocity, and an overlap or presence in the dataset that's on the X axis. That's really a measure of pervasiveness. In the survey, the table, you see that table insert there that shows Wiki Bond's Q2 estimates of IAS revenue for the big four hyperscalers with their year on year growth rates. Now we told you at the time, this is data from the July TW 22 ETR survey and the ETR hadn't released its October survey results at that time. >>This was just a couple weeks ago. And while we couldn't share the specific data from the October survey, we were able to get a glimpse and we depicted the slowdown that we saw in the October data with those dotted arrows kind of down into the right, we said at the time that we were seeing and across the board slowdown even for the big three cloud vendors. Now, fast forward to this past week and we saw earnings releases from Alphabet, Microsoft, and just last night Amazon. Now you may be thinking, okay, big deal. The ETR survey data didn't really tell us anything we didn't already know. But judging from the negative reaction in the stock market to these earnings announcements, the degree of softness surprised a lot of investors. Now, at the time we didn't update our forecast, it doesn't make sense for us to do that when we're that close to earning season. >>And now that all the big three ha with all the big four with the exception of Alibaba have announced we've, we've updated. And so here's that data. This chart lays out our view of the IS and PAs worldwide revenue. Basically it's cloud infrastructure with an attempt to exclude any SaaS revenue so we can make an apples to apples comparison across all the clouds. Now the reason that actual is in quotes is because Microsoft and Google don't report IAS revenue, but they do give us clues and kind of directional commentary, which we then triangulate with other data that we have from the channel and ETR surveys and just our own intelligence. Now the second column there after the vendor name shows our previous estimates for q3, and then next to that we show our actuals. Same with the growth rates. And then we round out the chart with that lighter blue color highlights, the full year estimates for revenue and growth. >>So the key takeaways are that we shaved about $4 billion in revenue and roughly 300 basis points of growth off of our full year estimates. AWS had a strong July but exited Q3 in the mid 20% growth rate year over year. So we're using that guidance, you know, for our Q4 estimates. Azure came in below our earlier estimates, but Google actually exceeded our expectations. Now the compression in the numbers is in our view of function of the macro demand climate, we've made every attempt to adjust for constant currency. So FX should not be a factor in this data, but it's sure you know that that ma the the, the currency effects are weighing on those companies income statements. And so look, this is the fundamental dynamic of a cloud model where you can dial down consumption when you need to and dial it up when you need to. >>Now you may be thinking that many big cloud customers have a committed level of spending in order to get better discounts. And that's true. But what's happening we think is they'll reallocate that spend toward, let's say for example, lower cost storage tiers or they may take advantage of better price performance processors like Graviton for example. That is a clear trend that we're seeing and smaller companies that were perhaps paying by the drink just on demand, they're moving to reserve instance models to lower their monthly bill. So instead of taking the easy way out and just spending more companies are reallocating their reserve capacity toward lower cost. So those sort of lower cost services, so they're spending time and effort optimizing to get more for, for less whereas, or get more for the same is really how we should, should, should phrase it. Whereas during the pandemic, many companies were, you know, they perhaps were not as focused on doing that because business was booming and they had a response. >>So they just, you know, spend more dial it up. So in general, as they say, customers are are doing more with, with the same. Now let's look at the growth dynamic and spend some time on that. I think this is important. This data shows worldwide quarterly revenue growth rates back to Q1 2019 for the big four. So a couple of interesting things. The data tells us during the pandemic, you saw both AWS and Azure, but the law of large numbers and actually accelerate growth. AWS especially saw progressively increasing growth rates throughout 2021 for each quarter. Now that trend, as you can see is reversed in 2022 for aws. Now we saw Azure come down a bit, but it's still in the low forties in terms of percentage growth. While Google actually saw an uptick in growth this last quarter for GCP by our estimates as GCP is becoming an increasingly large portion of Google's overall cloud business. >>Now, unfortunately Google Cloud continues to lose north of 850 million per quarter, whereas AWS and Azure are profitable cloud businesses even though Alibaba is suffering its woes from China. And we'll see how they come in when they report in mid-November. The overall hyperscale market grew at 32% in Q3 in terms of worldwide revenue. So the slowdown isn't due to the repatriation or competition from on-prem vendors in our view, it's a macro related trend. And cloud will continue to significantly outperform other sectors despite its massive size. You know, on the repatriation point, it just still doesn't show up in the data. The A 16 Z article from Sarah Wong and Martin Martin Kasa claiming that repatriation was inevitable as a means to lower cost of good sold for SaaS companies. You know, while that was thought provoking, it hasn't shown up in the numbers. And if you read the financial statements of both AWS and its partners like Snowflake and you dig into the, to the, to the quarterly reports, you'll see little notes and comments with their ongoing negotiations to lower cloud costs for customers. >>AWS and no doubt execs at Azure and GCP understand that the lifetime value of a customer is worth much more than near term gross margin. And you can expect the cloud vendors to strike a balance between profitability, near term profitability anyway and customer attention. Now, even though Google Cloud platform saw accelerated growth, we need to put that in context for you. So GCP, by our estimate, has now crossed over the $3 billion for quarter market actually did so last quarter, but its growth rate accelerated to 42% this quarter. And so that's a good sign in our view. But let's do a quick little comparison with when AWS and Azure crossed the $3 billion mark and compare their growth rates at the time. So if you go back to to Q2 2016, as we're showing in this chart, that's around the time that AWS hit 3 billion per quarter and at the same time was growing at 58%. >>Azure by our estimates crossed that mark in Q4 2018 and at that time was growing at 67%. Again, compare that to Google's 42%. So one would expect Google's growth rate would be higher than its competitors at this point in the MO in the maturity of its cloud, which it's, you know, it's really not when you compared to to Azure. I mean they're kind of con, you know, comparable now but today, but, but you'll go back, you know, to that $3 billion mark. But more so looking at history, you'd like to see its growth rate at this point of a maturity model at least over 50%, which we don't believe it is. And one other point on this topic, you know, my business friend Matt Baker from Dell often says it's not a zero sum game, meaning there's plenty of opportunity exists to build value on top of hyperscalers. >>And I would totally agree it's not a dollar for dollar swap if you can continue to innovate. But history will show that the first company in makes the most money. Number two can do really well and number three tends to break even. Now maybe cloud is different because you have Microsoft software estate and the power behind that and that's driving its IAS business and Google ads are funding technology buildouts for, for for Google and gcp. So you know, we'll see how that plays out. But right now by this one measurement, Google is four years behind Microsoft in six years behind aws. Now to the point that cloud will continue to outpace other markets, let's, let's break this down a bit in spending terms and see why this claim holds water. This is data from ET r's latest October survey that shows the granularity of its net score or spending velocity metric. >>The lime green is new adoptions, so they're adding the platform, the forest green is spending more 6% or more. The gray bars spending is flat plus or minus, you know, 5%. The pinkish colors represent spending less down 6% or worse. And the bright red shows defections or churn of the platform. You subtract the reds from the greens and you get what's called net score, which is that blue dot that you can see on each of the bars. So what you see in the table insert is that all three have net scores above 40%, which is a highly elevated measure. Microsoft's net scores above 60% AWS well into the fifties and GCP in the mid forties. So all good. Now what's happening with all three is more customers are keep keeping their spending flat. So a higher percentage of customers are saying, our spending is now flat than it was in previous quarters and that's what's accounting for the compression. >>But the churn of all three, even gcp, which we reported, you know, last quarter from last quarter survey was was five x. The other two is actually very low in the single digits. So that might have been an anomaly. So that's a very good sign in our view. You know, again, customers aren't repatriating in droves, it's just not a trend that we would bet on, maybe makes for a FUD or you know, good marketing head, but it's just not a big deal. And you can't help but be impressed with both Microsoft and AWS's performance in the survey. And as we mentioned before, these companies aren't going to give up customers to try and preserve a little bit of gross margin. They'll do what it takes to keep people on their platforms cuz they'll make up for it over time with added services and improved offerings. >>Now, once these companies acquire a customer, they'll be very aggressive about keeping them. So customers take note, you have negotiating leverage, so use it. Okay, let's look at another cut at the cloud market from the ETR data set. Here's the two dimensional view, again, it's back, it's one of our favorites. Net score or spending momentum plotted against presence. And the data set, that's the x axis net score on the, on the vertical axis, this is a view of et r's cloud computing sector sector. You can see we put that magic 40% dotted red line in the table showing and, and then that the table inserts shows how the data are plotted with net score against presence. I e n in the survey, notably only the big three are above the 40% line of the names that we're showing here. The oth there, there are others. >>I mean if you put Snowflake on there, it'd be higher than any of these names, but we'll dig into that name in a later breaking analysis episode. Now this is just another way of quantifying the dominance of AWS and Azure, not only relative to Google, but the other cloud platforms out there. So we've, we've taken the opportunity here to plot IBM and Oracle, which both own a public cloud. Their performance is largely a reflection of them migrating their install bases to their respective public clouds and or hybrid clouds. And you know, that's fine, they're in the game. That's a point that we've made, you know, a number of times they're able to make it through the cloud, not whole and they at least have one, but they simply don't have the business momentum of AWS and Azure, which is actually quite impressive because AWS and Azure are now as large or larger than IBM and Oracle. >>And to show this type of continued growth that that that Azure and AWS show at their size is quite remarkable and customers are starting to recognize the viability of on-prem hi, you know, hybrid clouds like HPE GreenLake and Dell's apex. You know, you may say, well that's not cloud, but if the customer thinks it is and it was reporting in the survey that it is, we're gonna continue to report this view. You know, I don't know what's happening with H P E, They had a big down tick this quarter and I, and I don't read too much into that because their end is still pretty small at 53. So big fluctuations are not uncommon with those types of smaller ends, but it's over 50. So, you know, we did notice a a a negative within a giant public and private sector, which is often a, a bellwether giant public private is big public companies and large private companies like, like a Mars for example. >>So it, you know, it looks like for HPE it could be an outlier. We saw within the Fortune 1000 HPE E'S cloud looked actually really good and it had good spending momentum in that sector. When you di dig into the industry data within ETR dataset, obviously we're not showing that here, but we'll continue to monitor that. Okay, so where's this Leave us. Well look, this is really a tactical story of currency and macro headwinds as you can see. You know, we've laid out some of the points on this slide. The action in the stock market today, which is Friday after some of the soft earnings reports is really robust. You know, we'll see how it ends up in the day. So maybe this is a sign that the worst is over, but we don't think so. The visibility from tech companies is murky right now as most are guiding down, which indicates that their conservative outlook last quarter was still too optimistic. >>But as it relates to cloud, that platform is not going anywhere anytime soon. Sure, there are potential disruptors on the horizon, especially at the edge, but we're still a long ways off from, from the possibility that a new economic model emerges from the edge to disrupt the cloud and the opportunities in the cloud remain strong. I mean, what other path is there? Really private cloud. It was kind of a bandaid until the on-prem guys could get their a as a service models rolled out, which is just now happening. The hybrid thing is real, but it's, you know, defensive for the incumbents until they can get their super cloud investments going. Super cloud implying, capturing value above the hyperscaler CapEx, you know, call it what you want multi what multi-cloud should have been, the metacloud, the Uber cloud, whatever you like. But there are opportunities to play offense and that's clearly happening in the cloud ecosystem with the likes of Snowflake, Mongo, Hashi Corp. >>Hammer Spaces is a startup in this area. Aviatrix, CrowdStrike, Zeke Scaler, Okta, many, many more. And even the projects we see coming out of enterprise players like Dell, like with Project Alpine and what Pure Storage is doing along with a number of other of the backup vendors. So Q4 should be really interesting, but the real story is the investments that that companies are making now to leverage the cloud for digital transformations will be paying off down the road. This is not 1999. We had, you know, May might have had some good ideas and admittedly at a lot of bad ones too, but you didn't have the infrastructure to service customers at a low enough cost like you do today. The cloud is that infrastructure and so far it's been transformative, but it's likely the best is yet to come. Okay, let's call this a rap. >>Many thanks to Alex Morrison who does production and manages the podcast. Also Can Schiffman is our newest edition to the Boston Studio. Kristin Martin and Cheryl Knight helped get the word out on social media and in our newsletters. And Rob Ho is our editor in chief over@siliconangle.com, who does some wonderful editing for us. Thank you. Remember, all these episodes are available as podcasts. Wherever you listen, just search breaking analysis podcast. I publish each week on wiki bond.com at silicon angle.com. And you can email me at David dot valante@siliconangle.com or DM me at Dante or comment on my LinkedIn posts. And please do checkout etr.ai. They got the best survey data in the enterprise tech business. This is Dave Valante 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 Have you ever been driving on the highway and traffic suddenly slows way down and then after In the survey, the table, you see that table insert there that Now, at the time we didn't update our forecast, it doesn't make sense for us And now that all the big three ha with all the big four with the exception of Alibaba have announced So we're using that guidance, you know, for our Q4 estimates. Whereas during the pandemic, many companies were, you know, they perhaps were not as focused So they just, you know, spend more dial it up. So the slowdown isn't due to the repatriation or And you can expect the cloud And one other point on this topic, you know, my business friend Matt Baker from Dell often says it's not a And I would totally agree it's not a dollar for dollar swap if you can continue to So what you see in the table insert is that all three have net scores But the churn of all three, even gcp, which we reported, you know, And the data set, that's the x axis net score on the, That's a point that we've made, you know, a number of times they're able to make it through the cloud, the viability of on-prem hi, you know, hybrid clouds like HPE GreenLake and Dell's So it, you know, it looks like for HPE it could be an outlier. off from, from the possibility that a new economic model emerges from the edge to And even the projects we see coming out of enterprise And you can email me at David dot valante@siliconangle.com or DM me at Dante
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Murli Thirumale, Portworx by Pure Storage | KubeCon + CloudNativeCon NA 2022
>>Good afternoon and welcome back to Detroit, Lisa Martin here with John Furrier. We are live day two of our coverage of Coan Cloud Native Con North America. John, we've had great conversations. Yeah. All day yesterday. Half a day today. So far we're talking all things, Well, not all things Kubernetes so much more than that. We also have to talk about storage and data management solutions for Kubernetes projects, cuz that's obviously critical. >>Yeah, I mean the big trend here is Kubernetes going mainstream has been for a while. The adopt is crossing over, it's crossing the CADs and with that you're seeing security concerns. You're seeing things being gaps being filled. But enterprise grade is really the, the, the story. It's going enterprise, that's managed services, that's professional service, that's basically making things work at scale. This next segment hits that part and we are gonna talk about it in grade length >>With one of our alumni. Moral morale to Molly is back DP and GM of Port Work's Peer Storage. Great to have you back really? >>Yeah, absolutely. Delightful >>To be here. So I was looking on the website, number one in Kubernetes storage. Three years in a row. Yep. Awesome. What's Coworks doing here at KU Con? >>Well, I'll tell you, we, our engineering crew has been so productive and hard at work that I almost can't decide what to kind of tell you. But I thought what, what, what I thought I would do is kind of tell you that we are in forefront of two major trends in the world of Kubernetes. Right? And the, the two trends that I see are one is as a service, so is trend number one. So it's not software eating the world anymore. That's, that's old, old, old news. It's as a service unifying the world. The world wants easy, We all are, you know, subscribers to things like Netflix. We've been using Salesforce or other HR functions. Everything is as a service. And in the world of Kubernetes, it's a sign of that maturity that John was talking about as a platform that now as a service is the big trend. >>And so headline number one, if you will, is that Port Works is leading in the data management world for Kubernetes by providing, we're going all in on easy on as a service. So everything we do, we are satisfying it, right? So if you think, if you think about, if you think about this, that, that there are really, most of the people who are consuming Kubernetes are people who are building platforms for their dev users. And dev users want self service. That's one of the advantages of, of, of Kubernetes. And the more it is service size and made as a service, the more ready to consume it is. And so we are announcing at the show that we have, you know, the basic Kubernetes data management as a service, ha d r as a service. We have backup as a service and we have database as a service. So these are the three major components of data. And all of those are being made available as a service. And in fact, we're offering and announcing at the show our backup as a service freemium version where you can get free forever a terabyte of, of, you know, stuff to do for Kubernetes for forever. >>Congratulations on the announcement. Totally. In line with what the market wants. Developers want Selfer, they wanna also want simplicity by the way they'll leave if they don't like the service. Correct. So that you, you know that before we get into some more specifics, I want Yeah. Ask you on the industry and some of the point solutions you have, what, it's been two years since the acquisition with Pure Storage. Can you just give an update on how it's gone? Obviously as a service, you guys are hitting all your Marks, developers love it. Storage are big part of the game right now as well as these environments. Yeah. What's the update post acquisition two years. You had a great offering Stay right In >>Point Works. Yeah. So look, John, you're, you're, you're a veteran of the industry and have seen lots of acquisitions, right? And I've been acquired twice before myself. So, you know, there's, there's always best practices and poor practices in terms of acquisitions and I'm, you know, really delighted to say I think this, this acquisition has had some of the best practices. Let me just name a couple of them, right? One of them is just cultural fit, right? Cultural fit is great. Entrepreneurs, anybody, it's not just entrepreneurs. Everybody loves to work in a place they enjoy working with, with people that they, you know, thrive when they, when they interact with. And so the cultural fit with, with Pure is fantastic. The other one is the strategic intent that Pure had when they acquired us is still true. And so that goes a long way, you know, in terms of an investment profile, in terms of the ability to kind of leverage assets within the company. So Pure had kind of disrupted the world of storage using Flash and they wanted to disrupt higher up the stack using Kubernetes. And that's kind of been our role inside their strategy. And it's, it's still true. >>So culture, strategic intent. Yeah. Product market fit as well. You were, you weren't just an asset for customers or acquisition and then let the founders go through their next thing. You are part of their growth play. >>Absolutely. Right. The, the beauty of, of the kind of product market fit is, let's talk about the market is we have been always focused on the global two k and that is at the heart of, you know, purest 10,000 strong customer base, right? They have very strong presence in the, in the global two k. And we, we allow them to kind of go to those same folks with, with the offering. >>So satisfying everything that you do. What's for me as a business, whether I'm a financial services organization, I'm a hospital, I'm a retailer, what's in it for me >>As a customer? Yeah. So the, the what's in it for, for me is two things. It's speed and ease of use, which in a way are related. But, but, but you know, one is when something is provided as a service, it's much more consumable. It's instantly ready. It's like instant oatmeal, right? You just get it just ad hot water and it's there. Yep. So the world of of it has moved from owning large data centers, right? That used to be like 25 years ago and running those data centers better than everybody else to move to let me just consume a data center in the form of a cloud, right? So satisfying the cloud part of the data center. Now people are saying, well I expect that for software and services and I don't want it just from the public cloud, I want it from my own IT department. >>This is old news. And so the, the, the big news here is how fast Kubernetes has kind of moved everything. You know, you take a lot of these changes, Kubernetes is a poster child for things happening faster than the last wave. And in the last couple of years I would say that as a service model has really kind of thrived in the world of Kubernetes. And developers want to be able to get it fast. And the second thing is they want to be able to operate it fast. Self-service is the other benefit. Yeah. So speed and self-service are both benefits of, of >>This. Yeah. And, and the thing that's come up clearly in the cube, this is gonna be part of the headlines we'll probably end up getting a lot of highlights from telling my team to make a note of this, is that developers are gonna be be the, the business if you, if you take digital transformation to its conclusion, they're not a department that serves the business, they are the business that means Exactly. They have to be more productive. So developer productivity has been the top story. Yes. Security as a serves all these things. These are, these are examples to make developers more productive. But one of the things that came up and I wanna get your reaction to is, is that when you have disruption and, and the storage vision, you know what disruption it means. Cuz there's been a whole discussion around disruptive operations. When storage goes down, you have back m dr and failover. If there's a disruption that changes the nature of invisible infrastructure, developers want invisible infrastructure. That's the future steady state. So if there's a disruption in storage >>Yeah. It >>Can't affect the productivity and the tool chains and the workflows of developers. Yep. Right? So how do you guys look at that? Cuz you're a critical component. Storage is a service is a huge thing. Yeah. Storage has to, has to work seamlessly. And let's keep the developers out of the weeds. >>John. I think what, what what you put your finger on is another huge trend in the world of Kubernetes where at Cube Con, after all, which is really where, where all the leading practitioners both come and the leading vendors are. So here's the second trend that we are leading and, and actually I think it's happening not just with us, but with other, for folks in the industry. And that is, you know, the world of DevOps. Like DevOps has been such a catchphrase for all, all of us in the industry last five years. And it's been both a combination of cultural change as well as technology change. Here's what the latest is on the, in the world of DevOps. DevOps is now crystallized. It's not some kind of mysterious art form that you read about how people are practicing. DevOps is, it's broken into two, two things now. >>There is the platform part. So DevOps is now a bunch of platforms. And the other part of DevOps is a bunch of practices. So a little bit on both these, the platforms in the world of es there's only three platforms, right? There's the orchestration platforms, the, you know, eks, the open ships of the world and so on. There are the data management platforms, pro people like Port Works. And the third is security platforms, right? You know, Palo Alto Networks, others Aqua or all in this. So these are the three platforms and there are platform engineering teams now that many of our largest customers, some of the largest banks, the largest service providers, they're all operating as a ES platform engineering team. And then now developers, to your point, developers are in the practice of being able to use these platforms to launch new services. So the, the actual IT ops, the ops are run by developers now and they can do it on these platforms. And the platform engineering team provide that as an ease of use and they're there to troubleshoot when problems happen. So the idea of DevOps as a ops practice and a platform is the newest thing. E and, and ports and pure storage leading in the world of data management platforms >>There. Talk about a customer example that you think really articulates the value that Port Works and Pure Storage delivers from a data management perspective. >>Yeah, so there's so many examples. One of the, one of the longest running examples we have is a very, very large service provider that, you know, you all know and probably use, and they have been using us in the cable kinda set box or cable box business. They get streams of data from, from cable boxes all over the world. They collected all in a centralized large kind of thing and run elastic search and analytics on it. Now what they have done is they couldn't keep up with this at the scale and the depth, right? The speed of, of activity and the distributed nature of the activity. The only way to solve this was to use something like Kubernetes manage with Spark coming, bringing all the data in to deep, deep, deep silos of storage, which are all running not even on a sand, but on kind of, you know, very deep terabytes and terabytes of, of storage. So all of this is orchestrated with the Heco coworks and there's a platform engineering team. We are building that platform for them with some of these other components that allows them to kind of do analytics and, and make some changes in real time. Huge kind of setup for, for >>That. Yeah. Well, you guys have the right architecture. I love the vision. I love what you guys are doing. I think this is right in line with Pures. They've always been disruptors. I remember when we first interviewed the CEO when they started Yep. They, they stayed on path. They didn't waiver. EMC was the big player. They ended up taking their lunch and dinner as well and they beat 'em in the marketplace. But now you got this traction here. So I have to ask you, how's the business, what's the results look like? Either GM cloud native business unit of a storage company that's transformed and transforming? >>Yeah, you know, it's interesting, we just hit the two year anniversary, right John? And so what we did was just kind of like step back and hey, you know, we're running so hard, you just take a step back. And we've tripled the business in the two years since the acquisition, the two years before and, and we were growing through proven. So, you know, that that's quite a fe and we've tripled the number of people, the amount of engineering investments we have, the number of go to market investments have, have been, have been awesome. So business is going really well though, I will say. But I think, you know, we have, we can't be, we we're watching the market closely. You know, as a former ceo, I, you have to kind of learn to read the tea leaves when you invest. And I think, you know, what I would say is we're proceeding with caution in the next two quarters. I view business transformation as not a cancelable activity. So that's the, that's the good news, right? Our customers are large, it's, >>It's >>Right. All they're gonna do is say, Hey, they're gonna put their hand, their hand was always going right on the dial. Now they're kind of putting their hand on the dial going, hey, where, what is happening? But my, my own sense of this is that people will continue to invest through it. The question is at what level? And I also think that this is a six month kind of watch, the watch where, where we put the dial. So Q4 and q1 I think are kind of, you know, we have our, our watch kind of watch the market sign. But I have the highest confidence. What >>Does your gut tell you? You're an entrepreneur, >>Which my, my gut says that we'll go through a little bit of a cautious investment period in the next six months. And after that I think we're gonna be back in, back full, full in the crazy growth that we've always been. We're gonna grow by the way, in the next think >>It's core style. I think I'm, I'm more bullish. I think there's gonna be some, you know, weeding out of some overinvestment pre C or pre bubble. But I think tech's gonna continue to grow. I don't see >>It's stopping. Yeah. And, and the investment is gonna be on these core platforms. See, back to the platform story, it's gonna be in these core platforms and on unifying everything, let's consume it better rather than let's go kind of experiment with a whole bunch of things all over the map, right? So you'll see less experimentation and more kind of, let's harvest some of the investments we've made in the last couple >>Of years and actually be able to, to enable companies in any industry to truly be data companies. Because absolutely. We talked about as a service, we all have these expectations that any service we want, we can get it. Yes. There's no delay because patients has gone Yeah. From the pandemic. >>So it is kind of, you know, tightening up the screws on what they've built. They, you know, adding some polish to it, adding some more capability, like I said, a a a, a combination of harvesting and new investing. It's a combination I think is what we're gonna see. >>Yeah. What are some of the things that you're looking forward to? You talked about some of the, the growth things in the investment, but as we round out Q4 and head into a new year, what are you excited about? >>Yeah, so you know, I mentioned our, as a service kind of platform, the global two K for us has been a set of customers who we co-create stuff with. And so one of the other set of things that we are very excited about and announcing is because we're deployed at scale, we're, we're, we have upgraded our backend. So we have now the ability to go to million IOPS and more and, and for, for the right backends. And so Kubernetes is a add-on which will not slow down your, your core base infrastructure. Second thing that that we, we have is added a bunch of capability in the disaster recovery business continuity front, you know, we always had like metro kind of distance dr. We had long distance dr. We've added a near sync Dr. So now we can provide disaster recovery and business continuity for metro distances across continents and across the planet. Right? That's kind of a major change that we've done. The third thing is we've added the capability for file block and Object. So now by adding object, we're really a complete solution. So it is really that maturity of the business Yeah. That you start seeing as enterprises move to embracing a platform approach, deploying it much more widely. You talked about the early majority. Yeah. Right. And so what they require is more enterprise class capability and those are all the things that we've been adding and we're really looking forward >>To it. Well it sounds like tremendous evolution and maturation of Port Works in the two years since it's been with Pure Storage. You talked about the cultural alignment, great stuff that you're achieving. Congratulations on that. Yeah. Great stuff >>Ahead and having fun. Let's not forget that, that's too life's too short to do. It is right. >>You're right. Thank you. We will definitely, as always on the cube, keep our eyes on this space. Mur. Meley, it's been great to have you back on the program. Thank you for joining, John. >>Thank you so much. It's pleasure. Our, >>For our guests and John Furrier, Lisa Martin here live in Detroit with the cube about Coan Cloud Native Con at 22. We'll be back after a short break.
SUMMARY :
So far we're talking all things, Well, not all things Kubernetes so much more than that. crossing over, it's crossing the CADs and with that you're seeing security concerns. Great to have you back really? Yeah, absolutely. So I was looking on the website, number one in Kubernetes storage. And in the world of Kubernetes, it's a sign of that maturity that and made as a service, the more ready to consume it is. Storage are big part of the game right now as well as these environments. And so the cultural fit with, with Pure is fantastic. You were, you weren't just an asset for customers that is at the heart of, you know, purest 10,000 strong customer base, So satisfying everything that you do. So satisfying the cloud part of the data center. And in the last couple of years I would say that So developer productivity has been the top story. And let's keep the developers out of the weeds. So here's the second trend that we are leading and, There's the orchestration platforms, the, you know, eks, Talk about a customer example that you think really articulates the value that Port Works and Pure Storage delivers we have is a very, very large service provider that, you know, you all know I love the vision. And so what we did was just kind of like step back and hey, you know, But I have the highest confidence. We're gonna grow by the way, in the next think I think there's gonna be some, you know, weeding out of some overinvestment experimentation and more kind of, let's harvest some of the investments we've made in the last couple From the pandemic. So it is kind of, you know, tightening up the screws on what they've the growth things in the investment, but as we round out Q4 and head into a new year, what are you excited about? of capability in the disaster recovery business continuity front, you know, You talked about the cultural alignment, great stuff that you're achieving. It is right. it's been great to have you back on the program. Thank you so much. For our guests and John Furrier, Lisa Martin here live in Detroit with the cube about Coan Cloud
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Murli Thirumale, Portworx by Pure Storage | KubeCon + CloudNativeCon NA 2022
>>Good afternoon and welcome back to Detroit, Lisa Martin here with John Furrier. We are live day two of our coverage of Coan Cloud Native, Con North America. John, we've had great conversations. Yeah. All day yesterday. Half a day today. So far we're talking all things, Well, not all things Kubernetes so much more than that. We also have to talk about storage and data management solutions for Kubernetes projects, cuz that's obviously critical. >>Yeah, I mean the big trend here is Kubernetes going mainstream has been for a while. The adopt is crossing over, it's crossing the CADs and with that you're seeing security concerns. You're seeing things being gaps being filled. But enterprise grade is really the, the, the story. It's going enterprise, that's managed services, that's professional service, that's basically making things work at scale. This next segment hits that, that part, and we're gonna talk about it in grade length >>With one of our alumni morale to Molly is back VP and GM of Port Work's peer Storage. Great to have you back really? >>Yeah, absolutely. Delightful to >>Be here. So I was looking on the website, number one in Kubernetes storage. Three years in a row. Yep. Awesome. What's Coworks doing here at KU Con? >>Well, I'll tell you, we, our engineering crew has been so productive and hard at work that I almost can't decide what to kind of tell you. But I thought what, what, what I thought I would do is kind of tell you that we are in forefront of two major trends in the world of es. Right? And the, the two trends that I see are one is as a service, so is trend number one. So it's not software eating the world anymore. That's, that's old, old, old news. It's as a service, unifying the world. The world wants easy, We all are, you know, subscribers to things like Netflix. We've been using Salesforce or other HR functions. Everything is as a service. And in the world of Kubernetes, it's a sign of that maturity that John was talking about as a platform that now as a service is the big trend. >>And so headline number one, if you will, is that Port Works is leading in the data management world for the Kubernetes by providing, we're going all in on easy on as a service. So everything we do, we are satisfying it, right? So if you think, if you think about, if you think about this, that, that there are really, most of the people who are consuming Kubernetes are people who are building platforms for their dev users and their users want self service. That's one of the advantages of, of, of Kubernetes. And the more it is service size and made as a service, the more ready to consume it is. And so we are announcing at the show that we have, you know, the basic Kubernetes data management as a service, ha d r as a service. We have backup as a service and we have database as a service. So these are the three major components of data. And all of those are being made available as a service. And in fact, we're offering and announcing at the show our backup as a service freemium version where you can get free forever a terabyte of, of, you know, stuff to do for Kubernetes for forever. >>Congratulations on the announcement. Totally. In line with what the market wants. Developers want self serve, they wanna also want simplicity by the way they'll leave if they don't like the service. Correct. So that you, you know, that before we get into some more specifics, I want to Yeah. Ask you on the industry and some of the point solutions you have, what, it's been two years since the acquisition with Pure Storage. Can you just give an update on how it's gone? Obviously as a service, you guys are hitting all your Marks, developers love it. Storage a big part of the game right now as well as these environments. Yeah. What's the update post acquisition two years, You had a great offering Stay >>Right In Point Works. Yeah. So look, John, you're, you're, you're a veteran of the industry and have seen lots of acquisitions, right? And I've been acquired twice before myself. So, you know, there's, there's always best practices and poor practices in terms of acquisitions and I'm, you know, really delighted to say I think this, this acquisition has had some of the best practices. Let me just name a couple of them, right? One of them is just cultural fit, right? Cultural fit is great. Entrepreneurs, anybody, it's not just entrepreneurs. Everybody loves to work in a place they enjoy working with, with people that they, you know, thrive when they, when they interact with. And so the cultural fit with, with Pure is fantastic. The other one is the strategic intent that Pure had when they acquired us is still true. And so that goes a long way, you know, in terms of an investment profile, in terms of the ability to kind of leverage assets within the company. So Pure had kind of disrupted the world of storage using Flash and they wanted to disrupt higher up the stack using Kubernetes. And that's kind of been our role inside their strategy. And it's, it's still true. >>So culture, strategic intent. Yeah. Product market fit as well. You were, you weren't just an asset for customers or acquisition and then let the founders go through their next thing. You are part of their growth play. >>Absolutely. Right. The, the beauty of, of the kind of product market fit is, let's talk about the market is we have been always focused on the global two k and that is at the heart of, you know, purest 10,000 strong customer base, right? They have very strong presence in the, in the global two k. And we, we allow them to kind of go to those same folks with, with the offering. >>So satisfying everything that you do. What's for me as a business, whether I'm a financial services organization, I'm a hospital, I'm a retailer, what's in it for me >>As a customer? Yeah. So the, the what's in it for, for me is two things. It's speed and ease of use, which in a way are related. But, but, but you know, one is when something is provided as a service, it's much more consumable. It's instantly ready. It's like instant oatmeal, right? You just get it just adho water and it's there. Yep. So the world of of IT has moved from owning large data centers, right? That used to be like 25 years ago and running those data centers better than everybody else to move to let me just consume a data center in the form of a cloud, right? So satisfying the cloud part of the data center. Now people are saying, well I expect that for software and services and I don't want it just from the public cloud, I want it from my own IT department. >>This is old news. And so the, the, the big news here is how fast Kubernetes has kind of moved everything. You know, you take a lot of these changes, Kubernetes is a poster child for things happening faster than the last wave. And in the last couple of years I would say that as a service model has really kind of thrived in the world of Kubernetes. And developers want to be able to get it fast. And the second thing is they wanna be able to operate it fast. Self-service is the other benefit. Yeah. So speed and self-service are both benefits of, of >>This. Yeah. And, and the thing that's come up clearly in the cube, and this is gonna be part of the headlines, we'll probably end up getting a lot of highlights from telling my team to make a note of this, is that developers are gonna be be the business if you, if you take digital transformation to its conclusion, they're not a department that serves the business, they are the business that means Exactly. They have to be more productive. So developer productivity has been the top story. Yes. Security as a services, all these things. These are, these are examples to make developers more productive. But one of the things that came up and I wanna get your reaction to Yeah. Is, is that when you have disruption and, and the storage vision, you know what disruption it means. Cuz there's been a whole discussion around disruptive operations. When storage goes down, you have back DR. And failover. If there's a disruption that changes the nature of invisible infrastructure, developers want invisible infrastructure. That's the future steady state. So if there's a disruption in storage >>Yeah. It >>Can't affect the productivity and the tool chains and the workflows of developers. Yep. Right? So how do you guys look at that? Cause you're a critical component. Storage is a service, it's a huge thing. Yeah. Storage has to, has to work seamlessly. And let's keep the developers out of the weeds. >>John. I think what, what what you put your finger on is another huge trend in the world of Kubernetes where Atan after all, which is really where, where all the leading practitioners both come and the leading vendors are. So here's the second trend that we are leading and, and actually I think it's happening not just with us, but with other, for folks in the industry. And that is, you know, the world of DevOps. Like DevOps has been such a catchphrase for all of of us in the industry last five years. And it's been both a combination of cultural change as well as technology change. Here's what the latest is on the, in the world of DevOps. DevOps is now crystallized. It's not some kind of mysterious art form that you read about. Okay. How people are practicing. DevOps is, it's broken into two, two things now. >>There is the platform part. So DevOps is now a bunch of platforms. And the other part of DevOps is a bunch of practices. So a little bit on both these, the platforms in the world of es there's only three platforms, right? There's the orchestration platforms, the, you know, eks, the open ships of the world and so on. There are the data management platforms, pro people like Port Works. And the third is security platforms, right? You know, Palo Alto Networks, others Aqua are all in this. So these are the three platforms and there are platform engineering teams now that many of our largest customers, some of the largest banks, the largest service providers, they're all operating as a ES platform engineering team. And then now developers, to your point, developers are in the practice of being able to use these platforms to launch new services. So the, the actual IT ops, the ops are run by developers now and they can do it on these platforms. And the platform engineering team provide that as an ease of use and they're there to troubleshoot when problems happen. So the idea of DevOps as a ops practice and a platform is the newest thing. And, and ports and pure storage leading in the world of data management >>Platforms there. Talk about a customer example that you think really articulates the value that Port Works and Pure Storage delivers from a data management >>Perspective. Yeah, so there's so many examples. One of the, one of the longest running examples we have is a very, very large service provider that, you know, you all know and probably use, and they have been using us in the cable kind of set box or cable box business. They get streams of data from, from cable boxes all over the world. They collected all in a centralized large kind of thing and run elastic search and analytics on it. Now what they have done is they couldn't keep up with this at the scale and the depth, right? The speed of, of activity and the distributed nature of the activity. The only way to solve this was to use something like Kubernetes manage with Spark coming, bringing all the data in into deep, deep, deep silos of storage, which are all running not even on a sand, but on kind of, you know, very deep terabytes and terabytes of, of storage. So all of this is orchestrated with the he of Coworks and there's a platform engineering team. We are building that platform for them, them with some of these other components that allows them to kind of do analytics and, and make some changes in real time. Huge kind of setup for, for >>That. Yeah. Well, you guys have the right architecture. I love the vision. I love what you guys are doing. I think this is right in line with Pures. They've always been disruptors. I remember when we first interviewed the CEO and they started Yep. They, they stayed on path. They didn't waver. EMC was the big player. They ended up taking their lunch and dinner as well and they beat 'em in the marketplace. But now you got this traction here. So I have to ask you, how's the business, what's the results look like? You're a GM cloud native business unit of a storage company that's transformed and transforming. >>Yeah, you know, it's interesting, we just hit the two year anniversary, right John? And so what we did was just kind of like step back and hey to, you know, we're running so hard, you just take a step back and we've tripled the business in the two years since the acquisition, the two years before and, and we were growing through proven. So, you know, that that's quite a fee. And we've tripled the number of people, the amount of engineering investments we have, the number of go to market investments have been, have been awesome. So business is going really well though, I will say. But I think, you know, we have, we can't be, we're watching the market closely. You know, as a former ceo, I, you have to kind of learn to read the tea leaves when you invest. And I think, you know, what I would say is we're proceeding with caution in the next two quarters. I view business transformation as not a cancelable activity. So that's the, that's the good news, right? Our customers are large, >>It's >>Right. Never gonna stop prices, right? All they're gonna do is say, Hey, they're gonna put their hand, their hand was always going right on the dial. Now they're kind of putting their hand on the dial going, hey, where, what is happening? But my, my own sense of this is that people who continue to invest through it, the question is at what level? And I also think that this is a six month kind of watch, the watch where, where we put the dial. So Q4 and q1 I think are kind of, you know, we have our, our watch kind of watch the market sign. But I have the highest confidence. What >>Does your gut tell you? You're an >>Entrepreneur. My, my gut says that we'll go through a little bit of a cautious investment period in the next six months. And after that I think we're gonna be back in, back full, full in the crazy growth that we've always been. Yeah. We're gonna grow by the way, in the next, I think >>It's corn style. I think I'm, I'm more bullish. I think it's gonna be some, you know, weeding out of some overinvestment, pre covid or pre bubble. But I think tech's gonna continue to grow. I don't see >>It's stopping. Yeah. And, and the investment is gonna be on these core platforms. See, back to the platform story, it's gonna be in these lower platforms and on unifying everything, let's consume it better rather than let's go kind of experiment with a whole bunch of things all over the map, right? So you'll see less experimentation and more kind of, let's harvest some of the investments we've made in the last couple >>Of years and actually be able to, to enable companies in, in the industry to truly be data companies because absolutely. We talked about as a service, we all have these expectations that any service we want, we can get it. Yes. There's no delay because patients has gone Yeah. From the pandemic. >>So it is kind of, you know, tightening up the screws on what they've built. They, you know, adding some polish to it, adding some more capability, like I said, a, a a, a combination of harvesting and new investing. It's a combination I think is what we're gonna see. >>Yeah. What are some of the things that you're looking forward to? You talked about some of the, the growth things in the investment, but as we round out Q4 and head into a new year, what are you excited about? >>Yeah, so, you know, I mentioned our, as a service kind of platform. The global two K for us has been a set of customers who we co-create stuff with. And so one of the other set of things that we are very excited about and announcing is because we're deployed at scale, we're, we're, we have upgraded our backend. So we have now the ability to go to million IOPS and more and, and for, for the right backends. And so Kubernetes is a add-on, which will not slow down your, your core base infrastructure. Second thing that that we, we have is added a bunch of capability in the disaster recovery business continuity front, you know, we always had like metro kind of distance Dr. We had long distance dr. We've added a near sync Dr. So now we can provide disaster recovery and business continuity for metro distances across continents and across the planet. Right? That's kind of a major change that we've done. The third thing is we've added the capability for file block and Object. So now by adding object, we're really a complete solution. So it is really that maturity of the business Yeah. That you start seeing as enterprises move to embracing a platform approach, deploying it much more widely. You talked about the early majority. Yeah. Right. And so what they require is more enterprise class capability and those are all the things that we've been adding and we're really looking forward to it. >>Well it sounds like tremendous evolution and maturation of Port Works in the two years since it's been with Pure Storage. You talked about the cultural alignment, Great stuff that you are achieving. Congratulations on that. Great stuff >>Ahead and having fun. Let's not forget that that's too life's too short to do. It is. You're right. >>Right. Thank you. We will definitely, as always on the cube, keep our eyes on this space. Mur. Meley, it's been great to have you back on the program. Thank you for joining, John. >>Great. Thank you so much. It's a pleasure. Our, >>For our guests and John Furrier, Lisa Martin here live in Detroit with the cube about Cob Con Cloud native Con at 22. We'll be back after a short break.
SUMMARY :
So far we're talking all things, Well, not all things Kubernetes so much more than that. crossing over, it's crossing the CADs and with that you're seeing security concerns. Great to have you back really? Delightful to So I was looking on the website, number one in Kubernetes storage. And in the world of Kubernetes, it's a sign of that maturity that and made as a service, the more ready to consume it is. Storage a big part of the game right now as well as these environments. And so the cultural You were, you weren't just an asset for customers that is at the heart of, you know, purest 10,000 strong customer base, So satisfying everything that you do. So satisfying the cloud part of the data center. And in the last couple of years I would say that disruption and, and the storage vision, you know what disruption it means. And let's keep the developers out So here's the second trend that we are leading and, And the platform engineering team provide that as an ease of use and they're there to troubleshoot Talk about a customer example that you think really articulates the value that Port Works and Pure Storage The speed of, of activity and the distributed nature of the activity. I love the vision. And so what we did was just kind of like step back and hey to, you know, But I have the highest confidence. full in the crazy growth that we've always been. I think it's gonna be some, you know, weeding out of some overinvestment, experimentation and more kind of, let's harvest some of the investments we've made in the last couple in the industry to truly be data companies because absolutely. So it is kind of, you know, tightening up the screws on what they've the growth things in the investment, but as we round out Q4 and head into a new year, what are you excited about? of capability in the disaster recovery business continuity front, you know, You talked about the cultural alignment, Great stuff that you are achieving. Let's not forget that that's too life's too short to do. it's been great to have you back on the program. Thank you so much. For our guests and John Furrier, Lisa Martin here live in Detroit with the cube about Cob Con Cloud
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theCUBE Previews Supercomputing 22
(inspirational music) >> The history of high performance computing is unique and storied. You know, it's generally accepted that the first true supercomputer was shipped in the mid 1960s by Controlled Data Corporations, CDC, designed by an engineering team led by Seymour Cray, the father of Supercomputing. He left CDC in the 70's to start his own company, of course, carrying his own name. Now that company Cray, became the market leader in the 70's and the 80's, and then the decade of the 80's saw attempts to bring new designs, such as massively parallel systems, to reach new heights of performance and efficiency. Supercomputing design was one of the most challenging fields, and a number of really brilliant engineers became kind of quasi-famous in their little industry. In addition to Cray himself, Steve Chen, who worked for Cray, then went out to start his own companies. Danny Hillis, of Thinking Machines. Steve Frank of Kendall Square Research. Steve Wallach tried to build a mini supercomputer at Convex. These new entrants, they all failed, for the most part because the market at the time just wasn't really large enough and the economics of these systems really weren't that attractive. Now, the late 80's and the 90's saw big Japanese companies like NEC and Fujitsu entering the fray and governments around the world began to invest heavily in these systems to solve societal problems and make their nations more competitive. And as we entered the 21st century, we saw the coming of petascale computing, with China actually cracking the top 100 list of high performance computing. And today, we're now entering the exascale era, with systems that can complete a billion, billion calculations per second, or 10 to the 18th power. Astounding. And today, the high performance computing market generates north of $30 billion annually and is growing in the high single digits. Supercomputers solve the world's hardest problems in things like simulation, life sciences, weather, energy exploration, aerospace, astronomy, automotive industries, and many other high value examples. And supercomputers are expensive. You know, the highest performing supercomputers used to cost tens of millions of dollars, maybe $30 million. And we've seen that steadily rise to over $200 million. And today we're even seeing systems that cost more than half a billion dollars, even into the low billions when you include all the surrounding data center infrastructure and cooling required. The US, China, Japan, and EU countries, as well as the UK, are all investing heavily to keep their countries competitive, and no price seems to be too high. Now, there are five mega trends going on in HPC today, in addition to this massive rising cost that we just talked about. One, systems are becoming more distributed and less monolithic. The second is the power of these systems is increasing dramatically, both in terms of processor performance and energy consumption. The x86 today dominates processor shipments, it's going to probably continue to do so. Power has some presence, but ARM is growing very rapidly. Nvidia with GPUs is becoming a major player with AI coming in, we'll talk about that in a minute. And both the EU and China are developing their own processors. We're seeing massive densities with hundreds of thousands of cores that are being liquid-cooled with novel phase change technology. The third big trend is AI, which of course is still in the early stages, but it's being combined with ever larger and massive, massive data sets to attack new problems and accelerate research in dozens of industries. Now, the fourth big trend, HPC in the cloud reached critical mass at the end of the last decade. And all of the major hyperscalers are providing HPE, HPC as a service capability. Now finally, quantum computing is often talked about and predicted to become more stable by the end of the decade and crack new dimensions in computing. The EU has even announced a hybrid QC, with the goal of having a stable system in the second half of this decade, most likely around 2027, 2028. Welcome to theCUBE's preview of SC22, the big supercomputing show which takes place the week of November 13th in Dallas. theCUBE is going to be there. Dave Nicholson will be one of the co-hosts and joins me now to talk about trends in HPC and what to look for at the show. Dave, welcome, good to see you. >> Hey, good to see you too, Dave. >> Oh, you heard my narrative up front Dave. You got a technical background, CTO chops, what did I miss? What are the major trends that you're seeing? >> I don't think you really- You didn't miss anything, I think it's just a question of double-clicking on some of the things that you brought up. You know, if you look back historically, supercomputing was sort of relegated to things like weather prediction and nuclear weapons modeling. And these systems would live in places like Lawrence Livermore Labs or Los Alamos. Today, that requirement for cutting edge, leading edge, highest performing supercompute technology is bleeding into the enterprise, driven by AI and ML, artificial intelligence and machine learning. So when we think about the conversations we're going to have and the coverage we're going to do of the SC22 event, a lot of it is going to be looking under the covers and seeing what kind of architectural things contribute to these capabilities moving forward, and asking a whole bunch of questions. >> Yeah, so there's this sort of theory that the world is moving toward this connectivity beyond compute-centricity to connectivity-centric. We've talked about that, you and I, in the past. Is that a factor in the HPC world? How is it impacting, you know, supercomputing design? >> Well, so if you're designing an island that is, you know, tip of this spear, doesn't have to offer any level of interoperability or compatibility with anything else in the compute world, then connectivity is important simply from a speeds and feeds perspective. You know, lowest latency connectivity between nodes and things like that. But as we sort of democratize supercomputing, to a degree, as it moves from solely the purview of academia into truly ubiquitous architecture leverage by enterprises, you start asking the question, "Hey, wouldn't it be kind of cool if we could have this hooked up into our ethernet networks?" And so, that's a whole interesting subject to explore because with things like RDMA over converged ethernet, you now have the ability to have these supercomputing capabilities directly accessible by enterprise computing. So that level of detail, opening up the box of looking at the Nix, or the storage cards that are in the box, is actually critically important. And as an old-school hardware knuckle-dragger myself, I am super excited to see what the cutting edge holds right now. >> Yeah, when you look at the SC22 website, I mean, they're covering all kinds of different areas. They got, you know, parallel clustered systems, AI, storage, you know, servers, system software, application software, security. I mean, wireless HPC is no longer this niche. It really touches virtually every industry, and most industries anyway, and is really driving new advancements in society and research, solving some of the world's hardest problems. So what are some of the topics that you want to cover at SC22? >> Well, I kind of, I touched on some of them. I really want to ask people questions about this idea of HPC moving from just academia into the enterprise. And the question of, does that mean that there are architectural concerns that people have that might not be the same as the concerns that someone in academia or in a lab environment would have? And by the way, just like, little historical context, I can't help it. I just went through the upgrade from iPhone 12 to iPhone 14. This has got one terabyte of storage in it. One terabyte of storage. In 1997, I helped build a one terabyte NAS system that a government defense contractor purchased for almost $2 million. $2 million! This was, I don't even know, it was $9.99 a month extra on my cell phone bill. We had a team of seven people who were going to manage that one terabyte of storage. So, similarly, when we talk about just where are we from a supercompute resource perspective, if you consider it historically, it's absolutely insane. I'm going to be asking people about, of course, what's going on today, but also the near future. You know, what can we expect? What is the sort of singularity that needs to occur where natural language processing across all of the world's languages exists in a perfect way? You know, do we have the compute power now? What's the interface between software and hardware? But really, this is going to be an opportunity that is a little bit unique in terms of the things that we typically cover, because this is a lot about cracking open the box, the server box, and looking at what's inside and carefully considering all of the components. >> You know, Dave, I'm looking at the exhibitor floor. It's like, everybody is here. NASA, Microsoft, IBM, Dell, Intel, HPE, AWS, all the hyperscale guys, Weka IO, Pure Storage, companies I've never heard of. It's just, hundreds and hundreds of exhibitors, Nvidia, Oracle, Penguin Solutions, I mean, just on and on and on. Google, of course, has a presence there, theCUBE has a major presence. We got a 20 x 20 booth. So, it's really, as I say, to your point, HPC is going mainstream. You know, I think a lot of times, we think of HPC supercomputing as this just sort of, off in the eclectic, far off corner, but it really, when you think about big data, when you think about AI, a lot of the advancements that occur in HPC will trickle through and go mainstream in commercial environments. And I suspect that's why there are so many companies here that are really relevant to the commercial market as well. >> Yeah, this is like the Formula 1 of computing. So if you're a Motorsports nerd, you know that F1 is the pinnacle of the sport. SC22, this is where everybody wants to be. Another little historical reference that comes to mind, there was a time in, I think, the early 2000's when Unisys partnered with Intel and Microsoft to come up with, I think it was the ES7000, which was supposed to be the mainframe, the sort of Intel mainframe. It was an early attempt to use... And I don't say this in a derogatory way, commodity resources to create something really, really powerful. Here we are 20 years later, and we are absolutely smack in the middle of that. You mentioned the focus on x86 architecture, but all of the other components that the silicon manufacturers bring to bear, companies like Broadcom, Nvidia, et al, they're all contributing components to this mix in addition to, of course, the microprocessor folks like AMD and Intel and others. So yeah, this is big-time nerd fest. Lots of academics will still be there. The supercomputing.org, this loose affiliation that's been running these SC events for years. They have a major focus, major hooks into academia. They're bringing in legit computer scientists to this event. This is all cutting edge stuff. >> Yeah. So like you said, it's going to be kind of, a lot of techies there, very technical computing, of course, audience. At the same time, we expect that there's going to be a fair amount, as they say, of crossover. And so, I'm excited to see what the coverage looks like. Yourself, John Furrier, Savannah, I think even Paul Gillin is going to attend the show, because I believe we're going to be there three days. So, you know, we're doing a lot of editorial. Dell is an anchor sponsor, so we really appreciate them providing funding so we can have this community event and bring people on. So, if you are interested- >> Dave, Dave, I just have- Just something on that point. I think that's indicative of where this world is moving when you have Dell so directly involved in something like this, it's an indication that this is moving out of just the realm of academia and moving in the direction of enterprise. Because as we know, they tend to ruthlessly drive down the cost of things. And so I think that's an interesting indication right there. >> Yeah, as do the cloud guys. So again, this is mainstream. So if you're interested, if you got something interesting to talk about, if you have market research, you're an analyst, you're an influencer in this community, you've got technical chops, maybe you've got an interesting startup, you can contact David, david.nicholson@siliconangle.com. John Furrier is john@siliconangle.com. david.vellante@siliconangle.com. I'd be happy to listen to your pitch and see if we can fit you onto the program. So, really excited. It's the week of November 13th. I think November 13th is a Sunday, so I believe David will be broadcasting Tuesday, Wednesday, Thursday. Really excited. Give you the last word here, Dave. >> No, I just, I'm not embarrassed to admit that I'm really, really excited about this. It's cutting edge stuff and I'm really going to be exploring this question of where does it fit in the world of AI and ML? I think that's really going to be the center of what I'm really seeking to understand when I'm there. >> All right, Dave Nicholson. Thanks for your time. theCUBE at SC22. Don't miss it. Go to thecube.net, go to siliconangle.com for all the news. This is Dave Vellante for theCUBE and for Dave Nicholson. Thanks for watching. And we'll see you in Dallas. (inquisitive music)
SUMMARY :
And all of the major What are the major trends on some of the things that you brought up. that the world is moving or the storage cards that are in the box, solving some of the across all of the world's languages a lot of the advancements but all of the other components At the same time, we expect and moving in the direction of enterprise. Yeah, as do the cloud guys. and I'm really going to be go to siliconangle.com for all the news.
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Breaking Analysis: As the tech tide recedes, all sectors feel the pinch
>> From theCUBE Studios in Palo Alto in Boston, bringing you data-driven insights from theCUBE and ETR. This is "Breaking Analysis" with Dave Vellante. >> Virtually all tech companies have expressed caution in their respective earnings calls, and why not? I know you're sick in talking about the macroeconomic environment, but it's full of uncertainties and there's no upside to providing aggressive guidance when sellers are in control. They punish even the slightest miss. Moreover, the spending data confirms the softening market across the board, so it's becoming expected that CFOs will guide cautiously. But companies facing execution challenges, they can't hide behind the macro, which is why it's important to understand which firms are best positioned to maintain momentum through the headwinds and come out the other side stronger. Hello, and welcome to this week's Wikibon Cube Insights powered by ETR. In this "Breaking Analysis," we'll do three things. First, we're going to share a high-level view of the spending pinch that almost all sectors are experiencing. Second, we're going to highlight some of those companies that continue to show notably strong momentum and relatively high spending velocity on their platforms, albeit less robust than last year. And third, we're going to give you a peak at how one senior technology leader in the financial sector sees the competitive dynamic between AWS, Snowflake, and Databricks. So I landed on the red eye this morning and opened my eyes, and then opened my email to see this. My Barron's Daily had a headline telling me how bad things are and why they could get worse. The S&P Thursday hit a new closing low for the year. The safe haven of bonds are sucking wind. The market hasn't seemed to find a floor. Central banks are raising rates. Inflation is still high, but the job market remains strong. Oh, not to mention that the US debt service is headed toward a trillion dollars per year, and the geopolitical situation is pretty tense, and Europe seems to be really struggling. Yeah, so the Santa Claus rally is really looking pretty precarious, especially if there's a liquidity crunch coming, like guess why they call Barron's Barron's. Last week, we showed you this graphic ahead of the UiPath event. For months, the big four sectors, cloud, containers, AI, and RPA, have shown spending momentum above the rest. Now, this chart shows net score or spending velocity on specific sectors, and these four have consistently trended above the 40% red line for two years now, until this past ETR survey. ML/AI and RPA have decelerated as shown by the squiggly lines, and our premise was that they are more discretionary than the other sectors. The big four is now the big two: cloud and containers. But the reality is almost every sector in the ETR taxonomy is down as shown here. This chart shows the sectors that have decreased in a meaningful way. Almost all sectors are now below the trend line and only cloud and containers, as we showed earlier, are above the magic 40% mark. Container platforms and container orchestration are those gray dots. And no sector has shown a significant increase in spending velocity relative to October 2021 survey. In addition to ML/AI and RPA, information security, yes, security, virtualizations, video conferencing, outsourced IT, syndicated research. Syndicated research, yeah, those Gartner, IDC, Forrester, they stand out as seemingly the most discretionary, although we would argue that security is less discretionary. But what you're seeing is a share shift as we've previously reported toward modern platforms and away from point tools. But the point is there is no sector that is immune from the macroeconomic environment. Although remember, as we reported last week, we're still expecting five to 6% IT spending growth this year relative to 2021, but it's a dynamic environment. So let's now take a look at some of the key players and see how they're performing on a relative basis. This chart shows the net score or spending momentum on the y-axis and the pervasiveness of the vendor within the ETR survey measured as the percentage of respondents citing the vendor in use. As usual, Microsoft and AWS stand out because they are both pervasive on the x-axis and they're highly elevated on the vertical axis. For two companies of this size that demonstrate and maintain net scores above the 40% mark is extremely impressive. Although AWS is now showing much higher on the vertical scale relative to Microsoft, which is a new trend. Normally, we see Microsoft dominating on both dimensions. Salesforce is impressive as well because it's so large, but it's below those two on the vertical axis. Now, Google is meaningfully large, but relative to the other big public clouds, AWS and Azure, we see this as disappointing. John Blackledge of Cowen went on CNBC this past week and said that GCP, by his estimates, are 75% of Google Cloud's reported revenue and is now only five years behind AWS in Azure. Now, our models say, "No way." Google Cloud Platform, by our estimate, is running at about $3 billion per quarter or more like 60% of Google's reported overall cloud revenue. You have to go back to 2016 to find AWS running at that level and 2018 for Azure. So we would estimate that GCP is six years behind AWS and four years behind Azure from a revenue performance standpoint. Now, tech-wise, you can make a stronger case for Google. They have really strong tech. But revenue is, in our view, a really good indicator. Now, we circle here ServiceNow because they have become a generational company and impressively remain above the 40% line. We were at CrowdStrike with theCUBE two weeks ago, and we saw firsthand what we see as another generational company in the making. And you can see the company spending momentum is quite impressive. Now, HashiCorp and Snowflake have now surpassed Kubernetes to claim the top net score spots. Now, we know Kubernetes isn't a company, but ETR tracks it as though it were just for context. And we've highlighted Databricks as well, showing momentum, but it doesn't have the market presence of Snowflake. And there are a number of other players in the green: Pure Storage, Workday, Elastic, JFrog, Datadog, Palo Alto, Zscaler, CyberArk, Fortinet. Those last ones are in security, but again, they're all off their recent highs of 2021 and early 2022. Now, speaking of AWS, Snowflake, and Databricks, our colleague Eric Bradley of ETR recently held an in-depth interview with a senior executive at a large financial institution to dig into the analytics space. And there were some interesting takeaways that we'd like to share. The first is a discussion about whether or not AWS can usurp Snowflake as the top dog in analytics. I'll let you read this at your at your leisure, but I'll pull out some call-outs as indicated by the red lines. This individual's take was quite interesting. Note the comment that quote, this is my area of expertise. This person cited AWS's numerous databases as problematic, but Redshift was cited as the closest competitors to Snowflake. This individual also called out Snowflake's current cross-cloud Advantage, what we sometimes call supercloud, as well as the value add in their marketplace as a differentiator. But the point is this person was actually making, the point that this person was actually making is that cloud vendors make a lot of money from Snowflake. AWS, for example, see Snowflake as much more of a partner than a competitor. And as we've reported, Snowflake drives a lot of EC2 and storage revenue for AWS. Now, as well, this doesn't mean AWS does not have a strong marketplace. It does. Probably the best in the business, but the point is Snowflake's marketplace is exclusively focused on a data marketplace and the company's challenge or opportunity is to build up that ecosystem and to continue to add partners and create network effects that allow them to create long-term sustainable moat for the company, while at the same time, staying ahead of the competition with innovation. Now, the other comment that caught our attention was Snowflake's differentiators. This individual cited three areas. One, the well-known separation of compute and storage, which, of course, AWS has replicated sort of, maybe not as elegant in the sense that you can reduce the compute load with Redshift, but unlike Snowflake, you can't shut it down. Two, with Snowflake's data sharing capability, which is becoming quite well-known and a key part of its value proposition. And three, its marketplace. And again, key opportunity for Snowflake to build out its ecosystem. Close feature gaps that it's not necessarily going to deliver on its own. And really importantly, create governed and secure data sharing experiences for anyone on the data cloud or across clouds. Now, the last thing this individual addressed in the ETR interview that we'll share is how Databricks and Snowflake are attacking a similar problem, i.e. simplifying data, data sharing, and getting more value from data. The key messages here are there's overlap with these two platforms, but Databricks appeals to a more techy crowd. You open a notebook, when you're working with Databricks, you're more likely to be a data scientist, whereas with Snowflake, you're more likely to be aligned with the lines of business within sometimes an industry emphasis. We've talked about this quite often on "Breaking Analysis." Snowflake is moving into the data science arena from its data warehouse strength, and Databricks is moving into analytics and the world of SQL from its AI/ML position of strength, and both companies are doing well, although Snowflake was able to get to the public markets at IPO, Databricks has not. Now, even though Snowflake is on the quarterly shock clock as we saw earlier, it has a larger presence in the market. That's at least partly due to the tailwind of an IPO, and, of course, a stronger go-to market posture. Okay, so we wanted to share some of that with you, and I realize it's a bit of a tangent, but it's good stuff from a qualitative practitioner perspective. All right, let's close with some final thoughts. Look forward a little bit. Things in the short-term are really hard to predict. We've seen these oversold rallies peter out for the last couple of months because the world is such a mess right now, and it's really difficult to reconcile these counterveiling trends. Nothing seems to be working from a public policy perspective. Now, we know tech spending is softening, but let's not forget it, five to 6% growth. It's at or above historical norms, but there's no question the trend line is down. That said, there are certain growth companies, several mentioned in this episode, that are modern and vying to be generational platforms. They're well-positioned, financially sound, disciplined, with strong cash positions, with inherent profitability. What I mean by that is they can dial down growth if they wanted to, dial up EBIT, but being a growth company today is not what it was a year ago. Because of rising rates, the discounted cash flows are just less attractive. So earnings estimates, along with revenue multiples on these growth companies, are reverting toward the mean. However, companies like Snowflake, and CrowdStrike, and some others are able to still command a relative premium because of their execution and continued momentum. Others, as we reported last week, like UiPath for example, despite really strong momentum and customer spending, have had execution challenges. Okta is another example of a company with strong spending momentum, but is absorbing off zero for example. And as a result, they're getting hit harder from evaluation standpoint. The bottom line is sellers are still firmly in control, the bulls have been humbled, and the traders aren't buying growth tech or much tech at all right now. But long-term investors are looking for entry points because these generational companies are going to be worth significantly more five to 10 years down the line. Okay, that's it for today. Thanks for watching this "Breaking Analysis" episode. Thanks to Alex Myerson and Ken Schiffman on production. And Alex manages our podcast as well. Kristen Martin and Cheryl Knight. They help get the word out on social media and in our newsletters. And Rob Hof is our editor-in-chief over at SiliconANGLE do some wonderful editing for us, so thank you. Thank you all. Remember that all these episodes are available as podcast wherever you listen. All you do is search "Breaking Analysis" podcast. I publish each week on wikibon.com and siliconangle.com and you can email me at david.vellante@siliconangle.com, or DM me @dvellante, or comment on my LinkedIn post. And please check out etr.ai for the very best survey data in the enterprise tech business. This is Dave Vellante for theCUBE Insights, powered by ETR. Thanks for watching, and we'll see you next time on "Breaking Analysis." (gentle music)
SUMMARY :
This is "Breaking Analysis" and come out the other side stronger.
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Breaking Analysis: Answering the top 10 questions about SuperCloud
>> From the theCUBE studios in Palo Alto in Boston, bringing you data driven insights from theCUBE and ETR. This is "Breaking Analysis" with Dave Vellante. >> Welcome to this week's Wikibon, theCUBE's insights powered by ETR. As we exited the isolation economy last year, supercloud is a term that we introduced to describe something new that was happening in the world of cloud. In this Breaking Analysis, we address the 10 most frequently asked questions we get around supercloud. Okay, let's review these frequently asked questions on supercloud that we're going to try to answer today. Look at an industry that's full of hype and buzzwords. Why the hell does anyone need a new term? Aren't hyperscalers building out superclouds? We'll try to answer why the term supercloud connotes something different from hyperscale clouds. And we'll talk about the problems that superclouds solve specifically. And we'll further define the critical aspects of a supercloud architecture. We often get asked, isn't this just multi-cloud? Well, we don't think so, and we'll explain why in this Breaking Analysis. Now in an earlier episode, we introduced the notion of super PaaS. Well, isn't a plain vanilla PaaS already a super PaaS? Again, we don't think so, and we'll explain why. Who will actually build and who are the players currently building superclouds? What workloads and services will run on superclouds? And 8-A or number nine, what are some examples that we can share of supercloud? And finally, we'll answer what you can expect next from us on supercloud? Okay, let's get started. Why do we need another buzzword? Well, late last year, ahead of re:Invent, we were inspired by a post from Jerry Chen called "Castles in the Cloud." Now in that blog post, he introduced the idea that there were sub-markets emerging in cloud that presented opportunities for investors and entrepreneurs that the cloud wasn't going to suck the hyperscalers. Weren't going to suck all the value out of the industry. And so we introduced this notion of supercloud to describe what we saw as a value layer emerging above the hyperscalers CAPEX gift, we sometimes call it. Now it turns out, that we weren't the only ones using the term as both Cornell and MIT have used the phrase in somewhat similar, but different contexts. The point is something new was happening in the AWS and other ecosystems. It was more than IaaS and PaaS, and wasn't just SaaS running in the cloud. It was a new architecture that integrates infrastructure, platform and software as services to solve new problems that the cloud vendors in our view, weren't addressing by themselves. It seemed to us that the ecosystem was pursuing opportunities across clouds that went beyond conventional implementations of multi-cloud. And we felt there was a structural change going on at the industry level, the supercloud, metaphorically was highlighting. So that's the background on why we felt a new catch phrase was warranted, love it or hate it. It's memorable and it's what we chose. Now to that last point about structural industry transformation. Andy Rappaport is sometimes and often credited with identifying the shift from the vertically integrated IBM mainframe era to the fragmented PC microprocesor-based era in his HBR article in 1991. In fact, it was David Moschella, who at the time was an IDC Analyst who first introduced the concept in 1987, four years before Rappaport's article was published. Moschella saw that it was clear that Intel, Microsoft, Seagate and others would replace the system vendors, and put that forth in a graphic that looked similar to the first two on this chart. We don't have to review the shift from IBM as the center of the industry to Wintel, that's well understood. What isn't as well known or accepted is what Moschella put out in his 2018 book called "Seeing Digital" which introduced the idea of "The Matrix" that's shown on the right hand side of this chart. Moschella posited that new services were emerging built on top of the internet and hyperscale clouds that would integrate other innovations and would define the next era of computing. He used the term Matrix because the conceptual depiction included not only horizontal technology rose like the cloud and the internet, but for the first time included connected industry verticals, the columns in this chart. Moschella pointed out that whereas historically, industry verticals had a closed value chain or stack and ecosystem of R&D, and production, and manufacturing, and distribution. And if you were in that industry, the expertise within that vertical generally stayed within that vertical and was critical to success. But because of digital and data, for the first time, companies were able to traverse industries, jump across industries and compete because data enabled them to do that. Examples, Amazon and content, payments, groceries, Apple, and payments, and content, and so forth. There are many examples. Data was now this unifying enabler and this marked a change in the structure of the technology landscape. And supercloud is meant to imply more than running in hyperscale clouds, rather it's the combination of multiple technologies enabled by CloudScale with new industry participants from those verticals, financial services and healthcare, manufacturing, energy, media, and virtually all in any industry. Kind of an extension of every company is a software company. Basically, every company now has the opportunity to build their own cloud or supercloud. And we'll come back to that. Let's first address what's different about superclouds relative to hyperscale clouds? You know, this one's pretty straightforward and obvious, I think. Hyperscale clouds, they're walled gardens where they want your data in their cloud and they want to keep you there. Sure, every cloud player realizes that not all data will go to their particular cloud so they're meeting customers where their data lives with initiatives like Amazon Outposts and Azure Arc, and Google Anthos. But at the end of the day, the more homogeneous they can make their environments, the better control, security, cost, and performance they can deliver. The more complex the environment, the more difficult it is to deliver on their brand promises. And of course, the lesser margin that's left for them to capture. Will the hyperscalers get more serious about cross-cloud services? Maybe, but they have plenty of work to do within their own clouds and within enabling their own ecosystems. They had a long way to go a lot of runway. So let's talk about specifically, what problems superclouds solve? We've all seen the stats from IDC or Gartner, or whomever the customers on average use more than one cloud. You know, two clouds, three clouds, five clouds, 20 clouds. And we know these clouds operate in disconnected silos for the most part. And that's a problem because each cloud requires different skills because the development environment is different as is the operating environment. They have different APIs, different primitives, and different management tools that are optimized for each respective hyperscale cloud. Their functions and value props don't extend to their competitors' clouds for the most part. Why would they? As a result, there's friction when moving between different clouds. It's hard to share data, it's hard to move work. It's hard to secure and govern data. It's hard to enforce organizational edicts and policies across these clouds, and on-prem. Supercloud is an architecture designed to create a single environment that enables management of workloads and data across clouds in an effort to take out complexity, accelerate application development, streamline operations and share data safely, irrespective of location. It's pretty straightforward, but non-trivial, which is why I always ask a company's CEO and executives if stock buybacks and dividends will yield as much return as building out superclouds that solve really specific and hard problems, and create differential value. Okay, let's dig a bit more into the architectural aspects of supercloud. In other words, what are the salient attributes of supercloud? So first and foremost, a supercloud runs a set of specific services designed to solve a unique problem and it can do so in more than one cloud. Superclouds leverage the underlying cloud native tooling of a hyperscale cloud, but they're optimized for a specific objective that aligns with the problem that they're trying to solve. For example, supercloud might be optimized for lowest cost or lowest latency, or sharing data, or governing, or securing that data, or higher performance for networking, for example. But the point is, the collection of services that is being delivered is focused on a unique value proposition that is not being delivered by the hyperscalers across clouds. A supercloud abstracts the underlying and siloed primitives of the native PaaS layer from the hyperscale cloud and then using its own specific platform as a service tooling, creates a common experience across clouds for developers and users. And it does so in a most efficient manner, meaning it has the metadata knowledge and management capabilities that can optimize for latency, bandwidth, or recovery, or data sovereignty, or whatever unique value that supercloud is delivering for the specific use case in their domain. And a supercloud comprises a super PaaS capability that allows ecosystem partners through APIs to add incremental value on top of the supercloud platform to fill gaps, accelerate features, and of course innovate. The services can be infrastructure-related, they could be application services, they could be data services, security services, user services, et cetera, designed and packaged to bring unique value to customers. Again, that hyperscalers are not delivering across clouds or on-premises. Okay, so another common question we get is, isn't that just multi-cloud? And what we'd say to that is yes, but no. You can call it multi-cloud 2.0, if you want, if you want to use it, it's kind of a commonly used rubric. But as Dell's Chuck Whitten proclaimed at Dell Technologies World this year, multi-cloud by design, is different than multi-cloud by default. Meaning to date, multi-cloud has largely been a symptom of what we've called multi-vendor or of M&A, you buy a company and they happen to use Google Cloud, and so you bring it in. And when you look at most so-called, multi-cloud implementations, you see things like an on-prem stack, which is wrapped in a container and hosted on a specific cloud or increasingly a technology vendor has done the work of building a cloud native version of their stack and running it on a specific cloud. But historically, it's been a unique experience within each cloud with virtually no connection between the cloud silos. Supercloud sets out to build incremental value across clouds and above hyperscale CAPEX that goes beyond cloud compatibility within each cloud. So if you want to call it multi-cloud 2.0, that's fine, but we chose to call it supercloud. Okay, so at this point you may be asking, well isn't PaaS already a version of supercloud? And again, we would say no, that supercloud and its corresponding superPaaS layer which is a prerequisite, gives the freedom to store, process and manage, and secure, and connect islands of data across a continuum with a common experience across clouds. And the services offered are specific to that supercloud and will vary by each offering. Your OpenShift, for example, can be used to construct a superPaaS, but in and of itself, isn't a superPaaS, it's generic. A superPaaS might be developed to support, for instance, ultra low latency database work. It would unlikely again, taking the OpenShift example, it's unlikely that off-the-shelf OpenShift would be used to develop such a low latency superPaaS layer for ultra low latency database work. The point is supercloud and its inherent superPaaS will be optimized to solve specific problems like that low latency example for distributed databases or fast backup and recovery for data protection, and ransomware, or data sharing, or data governance. Highly specific use cases that the supercloud is designed to solve for. Okay, another question we often get is who has a supercloud today and who's building a supercloud, and who are the contenders? Well, most companies that consider themselves cloud players will, we believe, be building or are building superclouds. Here's a common ETR graphic that we like to show with Net Score or spending momentum on the Y axis and overlap or pervasiveness in the ETR surveys on the X axis. And we've randomly chosen a number of players that we think are in the supercloud mix, and we've included the hyperscalers because they are enablers. Now remember, this is a spectrum of maturity it's a maturity model and we've added some of those industry players that we see building superclouds like CapitalOne, Goldman Sachs, Walmart. This is in deference to Moschella's observation around The Matrix and the industry structural changes that are going on. This goes back to every company, being a software company and rather than pattern match an outdated SaaS model, we see new industry structures emerging where software and data, and tools, specific to an industry will lead the next wave of innovation and bring in new value that traditional technology companies aren't going to solve, and the hyperscalers aren't going to solve. You know, we've talked a lot about Snowflake's data cloud as an example of supercloud. After being at Snowflake Summit, we're more convinced than ever that they're headed in this direction. VMware is clearly going after cross-cloud services you know, perhaps creating a new category. Basically, every large company we see either pursuing supercloud initiatives or thinking about it. Dell showed project Alpine at Dell Tech World, that's a supercloud. Snowflake introducing a new application development capability based on their superPaaS, our term of course, they don't use the phrase. Mongo, Couchbase, Nutanix, Pure Storage, Veeam, CrowdStrike, Okta, Zscaler. Yeah, all of those guys. Yes, Cisco and HPE. Even though on theCUBE at HPE Discover, Fidelma Russo said on theCUBE, she wasn't a fan of cloaking mechanisms, but then we talked to HPE's Head of Storage Services, Omer Asad is clearly headed in the direction that we would consider supercloud. Again, those cross-cloud services, of course, their emphasis is connecting as well on-prem. That single experience, which traditionally has not existed with multi-cloud or hybrid. And we're seeing the emergence of companies, smaller companies like Aviatrix and Starburst, and Clumio and others that are building versions of superclouds that solve for a specific problem for their customers. Even ISVs like Adobe, ADP, we've talked to UiPath. They seem to be looking at new ways to go beyond the SaaS model and add value within their cloud ecosystem specifically, around data as part of their and their customers digital transformations. So yeah, pretty much every tech vendor with any size or momentum and new industry players are coming out of hiding, and competing. Building superclouds that look a lot like Moschella's Matrix, with machine intelligence and blockchains, and virtual realities, and gaming, all enabled by the internet and hyperscale cloud CAPEX. So it's moving fast and it's the future in our opinion. So don't get too caught up in the past or you'll be left behind. Okay, what about examples? We've given a number in the past, but let's try to be a little bit more specific. Here are a few we've selected and we're going to answer the two questions in one section here. What workloads and services will run in superclouds and what are some examples? Let's start with analytics. Our favorite example is Snowflake, it's one of the furthest along with its data cloud, in our view. It's a supercloud optimized for data sharing and governance, query performance, and security, and ecosystem enablement. When you do things inside of that data cloud, what we call a super data cloud. Again, our term, not theirs. You can do things that you could not do in a single cloud. You can't do this with Redshift, You can't do this with SQL server and they're bringing new data types now with merging analytics or at least accommodate analytics and transaction type data, and bringing open source tooling with things like Apache Iceberg. And so it ticks the boxes we laid out earlier. I would say that a company like Databricks is also in that mix doing it, coming at it from a data science perspective, trying to create that consistent experience for data scientists and data engineering across clouds. Converge databases, running transaction and analytic workloads is another example. Take a look at what Couchbase is doing with Capella and how it's enabling stretching the cloud to the edge with ARM-based platforms and optimizing for low latency across clouds, and even out to the edge. Document database workloads, look at MongoDB, a very developer-friendly platform that with the Atlas is moving toward a supercloud model running document databases very, very efficiently. How about general purpose workloads? This is where VMware comes into to play. Very clearly, there's a need to create a common operating environment across clouds and on-prem, and out to the edge. And I say VMware is hard at work on that. Managing and moving workloads, and balancing workloads, and being able to recover very quickly across clouds for everyday applications. Network routing, take a look at what Aviatrix is doing across clouds, industry workloads. We see CapitalOne, it announced its cost optimization platform for Snowflake, piggybacking on Snowflake supercloud or super data cloud. And in our view, it's very clearly going to go after other markets is going to test it out with Snowflake, running, optimizing on AWS and it's going to expand to other clouds as Snowflake's business and those other clouds grows. Walmart working with Microsoft to create an on-premed Azure experience that's seamless. Yes, that counts, on-prem counts. If you can create that seamless and continuous experience, identical experience from on-prem to a hyperscale cloud, we would include that as a supercloud. You know, we've written about what Goldman is doing. Again, connecting its on-prem data and software tooling, and other capabilities to AWS for scale. And we can bet dollars to donuts that Oracle will be building a supercloud in healthcare with its Cerner acquisition. Supercloud is everywhere you look. So I'm sorry, naysayers it's happening all around us. So what's next? Well, with all the industry buzz and debate about the future, John Furrier and I, have decided to host an event in Palo Alto, we're motivated and inspired to further this conversation. And we welcome all points of view, positive, negative, multi-cloud, supercloud, hypercloud, all welcome. So theCUBE on Supercloud is coming on August 9th, out of our Palo Alto studios, we'll be running a live program on the topic. We've reached out to a number of industry participants, VMware, Snowflake, Confluent, Sky High Security, Gee Rittenhouse's new company, HashiCorp, CloudFlare. We've hit up Red Hat and we expect many of these folks will be in our studios on August 9th. And we've invited a number of industry participants as well that we're excited to have on. From industry, from financial services, from healthcare, from retail, we're inviting analysts, thought leaders, investors. We're going to have more detail in the coming weeks, but for now, if you're interested, please reach out to me or John with how you think you can advance the discussion and we'll see if we can fit you in. So mark your calendars, stay tuned for more information. Okay, that's it for today. Thanks to Alex Myerson who handles production and manages the podcast for Breaking Analysis. And I want to thank Kristen Martin and Cheryl Knight, they help get the word out on social and in our newsletters. And Rob Hof is our editor in chief over at SiliconANGLE, who does a lot of editing and appreciate you posting on SiliconANGLE, Rob. Thanks to all of you. Remember, all these episodes are available as podcasts wherever you listen. All you got to do is search Breaking Analysis podcast. It publish each week on wikibon.com and siliconangle.com. You can email me directly at david.vellante@siliconangle.com or DM me @DVellante, or comment on my LinkedIn post. And please do check out ETR.ai for the best survey data. And the enterprise tech business will be at AWS NYC Summit next Tuesday, July 12th. So if you're there, please do stop by and say hello to theCUBE, it's at the Javits Center. This is Dave Vellante for theCUBE insights powered by ETR. Thanks for watching. And we'll see you next time on "Breaking Analysis." (bright music)
SUMMARY :
From the theCUBE studios and how it's enabling stretching the cloud
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Breaking Analysis: Answering the top 10 questions about supercloud
>> From theCUBE Studios in Palo Alto and Boston, bringing you data-driven insights from theCUBE and ETR. This is "Breaking Analysis" with Dave Vallante. >> Welcome to this week's Wikibon CUBE Insights powered by ETR. As we exited the isolation economy last year, Supercloud is a term that we introduced to describe something new that was happening in the world of cloud. In this "Breaking Analysis," we address the 10 most frequently asked questions we get around Supercloud. Okay, let's review these frequently asked questions on Supercloud that we're going to try to answer today. Look at an industry that's full of hype and buzzwords. Why the hell does anyone need a new term? Aren't hyperscalers building out Superclouds? We'll try to answer why the term Supercloud connotes something different from hyperscale clouds. And we'll talk about the problems that Superclouds solve specifically, and we'll further define the critical aspects of a Supercloud architecture. We often get asked, "Isn't this just multi-cloud?" Well, we don't think so, and we'll explain why in this "Breaking Analysis." Now, in an earlier episode, we introduced the notion of super PaaS. Well, isn't a plain vanilla PaaS already a super PaaS? Again, we don't think so, and we'll explain why. Who will actually build and who are the players currently building Superclouds? What workloads and services will run on Superclouds? And eight A or number nine, what are some examples that we can share of Supercloud? And finally, we'll answer what you can expect next from us on Supercloud. Okay, let's get started. Why do we need another buzzword? Well, late last year ahead of re:Invent, we were inspired by a post from Jerry Chen called castles in the cloud. Now, in that blog post, he introduced the idea that there were submarkets emerging in cloud that presented opportunities for investors and entrepreneurs. That the cloud wasn't going to suck the hyperscalers, weren't going to suck all the value out of the industry. And so we introduced this notion of Supercloud to describe what we saw as a value layer emerging above the hyperscalers CAPEX gift, we sometimes call it. Now, it turns out that we weren't the only ones using the term, as both Cornell and MIT, have used the phrase in somewhat similar, but different contexts. The point is, something new was happening in the AWS and other ecosystems. It was more than IS and PaaS, and wasn't just SaaS running in the cloud. It was a new architecture that integrates infrastructure, platform and software as services, to solve new problems that the cloud vendors, in our view, weren't addressing by themselves. It seemed to us that the ecosystem was pursuing opportunities across clouds that went beyond conventional implementations of multi-cloud. And we felt there was a structural change going on at the industry level. The Supercloud metaphorically was highlighting. So that's the background on why we felt a new catch phrase was warranted. Love it or hate it, it's memorable and it's what we chose. Now, to that last point about structural industry transformation. Andy Rapaport is sometimes and often credited with identifying the shift from the vertically integrated IBM mainframe era to the fragmented PC microprocesor based era in his HBR article in 1991. In fact, it was David Moschella, who at the time was an IDC analyst who first introduced the concept in 1987, four years before Rapaport's article was published. Moschella saw that it was clear that Intel, Microsoft, Seagate and others would replace the system vendors and put that forth in a graphic that looked similar to the first two on this chart. We don't have to review the shift from IBM as the center of the industry to Wintel. That's well understood. What isn't as well known or accepted is what Moschella put out in his 2018 book called "Seeing Digital" which introduced the idea of the matrix that's shown on the right hand side of this chart. Moschella posited that new services were emerging, built on top of the internet and hyperscale clouds that would integrate other innovations and would define the next era of computing. He used the term matrix, because the conceptual depiction included, not only horizontal technology rows, like the cloud and the internet, but for the first time included connected industry verticals, the columns in this chart. Moschella pointed out that, whereas historically, industry verticals had a closed value chain or stack and ecosystem of R&D and production and manufacturing and distribution. And if you were in that industry, the expertise within that vertical generally stayed within that vertical and was critical to success. But because of digital and data, for the first time, companies were able to traverse industries jump across industries and compete because data enabled them to do that. Examples, Amazon and content, payments, groceries, Apple and payments, and content and so forth. There are many examples. Data was now this unifying enabler and this marked a change in the structure of the technology landscape. And Supercloud is meant to imply more than running in hyperscale clouds. Rather, it's the combination of multiple technologies, enabled by cloud scale with new industry participants from those verticals; financial services, and healthcare, and manufacturing, energy, media, and virtually all and any industry. Kind of an extension of every company is a software company. Basically, every company now has the opportunity to build their own cloud or Supercloud. And we'll come back to that. Let's first address what's different about Superclouds relative to hyperscale clouds. Now, this one's pretty straightforward and obvious, I think. Hyperscale clouds, they're walled gardens where they want your data in their cloud and they want to keep you there. Sure, every cloud player realizes that not all data will go to their particular cloud. So they're meeting customers where their data lives with initiatives like Amazon Outposts and Azure Arc and Google Antos. But at the end of the day, the more homogeneous they can make their environments, the better control, security, costs, and performance they can deliver. The more complex the environment, the more difficult it is to deliver on their brand promises. And, of course, the less margin that's left for them to capture. Will the hyperscalers get more serious about cross cloud services? Maybe, but they have plenty of work to do within their own clouds and within enabling their own ecosystems. They have a long way to go, a lot of runway. So let's talk about specifically, what problems Superclouds solve. We've all seen the stats from IDC or Gartner or whomever, that customers on average use more than one cloud, two clouds, three clouds, five clouds, 20 clouds. And we know these clouds operate in disconnected silos for the most part. And that's a problem, because each cloud requires different skills, because the development environment is different as is the operating environment. They have different APIs, different primitives, and different management tools that are optimized for each respective hyperscale cloud. Their functions and value props don't extend to their competitors' clouds for the most part. Why would they? As a result, there's friction when moving between different clouds. It's hard to share data. It's hard to move work. It's hard to secure and govern data. It's hard to enforce organizational edicts and policies across these clouds and on-prem. Supercloud is an architecture designed to create a single environment that enables management of workloads and data across clouds in an effort to take out complexity, accelerate application development, streamline operations, and share data safely, irrespective of location. It's pretty straightforward, but non-trivial, which is why I always ask a company's CEO and executives if stock buybacks and dividends will yield as much return as building out Superclouds that solve really specific and hard problems and create differential value. Okay, let's dig a bit more into the architectural aspects of Supercloud. In other words, what are the salient attributes of Supercloud? So, first and foremost, a Supercloud runs a set of specific services designed to solve a unique problem, and it can do so in more than one cloud. Superclouds leverage the underlying cloud native tooling of a hyperscale cloud, but they're optimized for a specific objective that aligns with the problem that they're trying to solve. For example, Supercloud might be optimized for lowest cost or lowest latency or sharing data or governing or securing that data or higher performance for networking, for example. But the point is, the collection of services that is being delivered is focused on a unique value proposition that is not being delivered by the hyperscalers across clouds. A Supercloud abstracts the underlying and siloed primitives of the native PaaS layer from the hyperscale cloud, and then using its own specific platform as a service tooling, creates a common experience across clouds for developers and users. And it does so in the most efficient manner, meaning it has the metadata knowledge and management capabilities that can optimize for latency, bandwidth, or recovery or data sovereignty, or whatever unique value that Supercloud is delivering for the specific use case in their domain. And a Supercloud comprises a super PaaS capability that allows ecosystem partners through APIs to add incremental value on top of the Supercloud platform to fill gaps, accelerate features, and of course, innovate. The services can be infrastructure related, they could be application services, they could be data services, security services, user services, et cetera, designed and packaged to bring unique value to customers. Again, that hyperscalers are not delivering across clouds or on premises. Okay, so another common question we get is, "Isn't that just multi-cloud?" And what we'd say to that is yeah, "Yes, but no." You can call it multi-cloud 2.0, if you want. If you want to use, it's kind of a commonly used rubric. But as Dell's Chuck Whitten proclaimed at Dell Technologies World this year, multi-cloud, by design, is different than multi-cloud by default. Meaning, to date, multi-cloud has largely been a symptom of what we've called multi-vendor or of M&A. You buy a company and they happen to use Google cloud. And so you bring it in. And when you look at most so-called multi-cloud implementations, you see things like an on-prem stack, which is wrapped in a container and hosted on a specific cloud. Or increasingly, a technology vendor has done the work of building a cloud native version of their stack and running it on a specific cloud. But historically, it's been a unique experience within each cloud, with virtually no connection between the cloud silos. Supercloud sets out to build incremental value across clouds and above hyperscale CAPEX that goes beyond cloud compatibility within each cloud. So, if you want to call it multi-cloud 2.0, that's fine, but we chose to call it Supercloud. Okay, so at this point you may be asking, "Well isn't PaaS already a version of Supercloud?" And again, we would say, "No." That Supercloud and its corresponding super PaaS layer, which is a prerequisite, gives the freedom to store, process, and manage and secure and connect islands of data across a continuum with a common experience across clouds. And the services offered are specific to that Supercloud and will vary by each offering. OpenShift, for example, can be used to construct a super PaaS, but in and of itself, isn't a super PaaS, it's generic. A super PaaS might be developed to support, for instance, ultra low latency database work. It would unlikely, again, taking the OpenShift example, it's unlikely that off the shelf OpenShift would be used to develop such a low latency, super PaaS layer for ultra low latency database work. The point is, Supercloud and its inherent super PaaS will be optimized to solve specific problems like that low latency example for distributed databases or fast backup in recovery for data protection and ransomware, or data sharing or data governance. Highly specific use cases that the Supercloud is designed to solve for. Okay, another question we often get is, "Who has a Supercloud today and who's building a Supercloud and who are the contenders?" Well, most companies that consider themselves cloud players will, we believe, be building or are building Superclouds. Here's a common ETR graphic that we like to show with net score or spending momentum on the Y axis, and overlap or pervasiveness in the ETR surveys on the X axis. And we've randomly chosen a number of players that we think are in the Supercloud mix. And we've included the hyperscalers because they are enablers. Now, remember, this is a spectrum of maturity. It's a maturity model. And we've added some of those industry players that we see building Superclouds like Capital One, Goldman Sachs, Walmart. This is in deference to Moschella's observation around the matrix and the industry structural changes that are going on. This goes back to every company being a software company. And rather than pattern match and outdated SaaS model, we see new industry structures emerging where software and data and tools specific to an industry will lead the next wave of innovation and bring in new value that traditional technology companies aren't going to solve. And the hyperscalers aren't going to solve. We've talked a lot about Snowflake's data cloud as an example of Supercloud. After being at Snowflake Summit, we're more convinced than ever that they're headed in this direction. VMware is clearly going after cross cloud services, perhaps creating a new category. Basically, every large company we see either pursuing Supercloud initiatives or thinking about it. Dell showed Project Alpine at Dell Tech World. That's a Supercloud. Snowflake introducing a new application development capability based on their super PaaS, our term, of course. They don't use the phrase. Mongo, Couchbase, Nutanix, Pure Storage, Veeam, CrowdStrike, Okta, Zscaler. Yeah, all of those guys. Yes, Cisco and HPE. Even though on theCUBE at HPE Discover, Fidelma Russo said on theCUBE, she wasn't a fan of cloaking mechanisms. (Dave laughing) But then we talked to HPE's head of storage services, Omer Asad, and he's clearly headed in the direction that we would consider Supercloud. Again, those cross cloud services, of course, their emphasis is connecting as well on-prem. That single experience, which traditionally has not existed with multi-cloud or hybrid. And we're seeing the emergence of smaller companies like Aviatrix and Starburst and Clumio and others that are building versions of Superclouds that solve for a specific problem for their customers. Even ISVs like Adobe, ADP, we've talked to UiPath. They seem to be looking at new ways to go beyond the SaaS model and add value within their cloud ecosystem, specifically around data as part of their and their customer's digital transformations. So yeah, pretty much every tech vendor with any size or momentum, and new industry players are coming out of hiding and competing, building Superclouds that look a lot like Moschella's matrix, with machine intelligence and blockchains and virtual realities and gaming, all enabled by the internet and hyperscale cloud CAPEX. So it's moving fast and it's the future in our opinion. So don't get too caught up in the past or you'll be left behind. Okay, what about examples? We've given a number in the past but let's try to be a little bit more specific. Here are a few we've selected and we're going to answer the two questions in one section here. What workloads and services will run in Superclouds and what are some examples? Let's start with analytics. Our favorite example of Snowflake. It's one of the furthest along with its data cloud, in our view. It's a Supercloud optimized for data sharing and governance, and query performance, and security, and ecosystem enablement. When you do things inside of that data cloud, what we call a super data cloud. Again, our term, not theirs. You can do things that you could not do in a single cloud. You can't do this with Redshift. You can't do this with SQL server. And they're bringing new data types now with merging analytics or at least accommodate analytics and transaction type data and bringing open source tooling with things like Apache Iceberg. And so, it ticks the boxes we laid out earlier. I would say that a company like Databricks is also in that mix, doing it, coming at it from a data science perspective trying to create that consistent experience for data scientists and data engineering across clouds. Converge databases, running transaction and analytic workloads is another example. Take a look at what Couchbase is doing with Capella and how it's enabling stretching the cloud to the edge with arm based platforms and optimizing for low latency across clouds, and even out to the edge. Document database workloads, look at Mongo DB. A very developer friendly platform that where the Atlas is moving toward a Supercloud model, running document databases very, very efficiently. How about general purpose workloads? This is where VMware comes into play. Very clearly, there's a need to create a common operating environment across clouds and on-prem and out to the edge. And I say, VMware is hard at work on that, managing and moving workloads and balancing workloads, and being able to recover very quickly across clouds for everyday applications. Network routing, take a look at what Aviatrix is doing across clouds. Industry workloads, we see Capital One. It announced its cost optimization platform for Snowflake, piggybacking on Snowflake's Supercloud or super data cloud. And in our view, it's very clearly going to go after other markets. It's going to test it out with Snowflake, optimizing on AWS, and it's going to expand to other clouds as Snowflake's business and those other clouds grows. Walmart working with Microsoft to create an on-premed Azure experience that's seamless. Yes, that counts, on-prem counts. If you can create that seamless and continuous experience, identical experience from on-prem to a hyperscale cloud, we would include that as a Supercloud. We've written about what Goldman is doing. Again, connecting its on-prem data and software tooling, and other capabilities to AWS for scale. And you can bet dollars to donuts that Oracle will be building a Supercloud in healthcare with its Cerner acquisition. Supercloud is everywhere you look. So I'm sorry, naysayers, it's happening all around us. So what's next? Well, with all the industry buzz and debate about the future, John Furrier and I have decided to host an event in Palo Alto. We're motivated and inspired to further this conversation. And we welcome all points of view, positive, negative, multi-cloud, Supercloud, HyperCloud, all welcome. So theCUBE on Supercloud is coming on August 9th out of our Palo Alto studios. We'll be running a live program on the topic. We've reached out to a number of industry participants; VMware, Snowflake, Confluent, Skyhigh Security, G. Written House's new company, HashiCorp, CloudFlare. We've hit up Red Hat and we expect many of these folks will be in our studios on August 9th. And we've invited a number of industry participants as well that we're excited to have on. From industry, from financial services, from healthcare, from retail, we're inviting analysts, thought leaders, investors. We're going to have more detail in the coming weeks, but for now, if you're interested, please reach out to me or John with how you think you can advance the discussion, and we'll see if we can fit you in. So mark your calendars, stay tuned for more information. Okay, that's it for today. Thanks to Alex Myerson who handles production and manages the podcast for "Breaking Analysis." And I want to thank Kristen Martin and Cheryl Knight. They help get the word out on social and in our newsletters. And Rob Hof is our editor in chief over at SiliconANGLE, who does a lot of editing and appreciate you posting on SiliconANGLE, Rob. Thanks to all of you. Remember, all these episodes are available as podcasts wherever you listen. All you got to do is search, breaking analysis podcast. I publish each week on wikibon.com and siliconangle.com. Or you can email me directly at david.vellante@siliconangle.com. Or DM me @DVallante, or comment on my LinkedIn post. And please, do check out etr.ai for the best survey data in the enterprise tech business. We'll be at AWS NYC summit next Tuesday, July 12th. So if you're there, please do stop by and say hello to theCUBE. It's at the Javits Center. This is Dave Vallante for theCUBE Insights, powered by ETR. Thanks for watching. And we'll see you next time on "Breaking Analysis." (slow music)
SUMMARY :
This is "Breaking Analysis" stretching the cloud to the edge
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Prakash Darji, Pure Storage | At Your Storage Service
(bright intro music) >> The cloud has popularized many useful concepts in the past decade, working backwards from the customer to pizza teams and DevOps mindset, the shared responsibility model, and security, of course, the shift from CapEx to OPEX, and as a service consumption models. The last item is what we're here to talk about today. Pay for consumption is attractive because you're not over provisioning, at least not the way you used to. You'd have to buy for peak capacity events, but there are always two sides to every story, and while pay for use more closely ties IT consumption to business value, procurement teams don't always love the uncertainty of the cloud bill each month, but consumption pricing and as a service models are here to stay in software and hardware. Hello, I'm Dave Vellante and welcome to "At Your Storage Service" made possible by Pure Storage, and with me is Prakash Darji who's the General Manager of the Digital Experience Business Unit at Pure. Prakash, welcome to the program. >> Thanks Dave. Thanks for having me. >> You bet. Okay, we've seen this shift to as a service, the as a service economy, subscription models, and this as a service movement have gained real momentum. It's clear over the past several years. What's driving this shift? Is it pressure from investors and technology companies that are chasing the all important ARR, their annual recurring revenue stream? Is it customer driven? Give us your insights. >> Well, look, I think we'll do some definitional stuff first. I think we often mix the definition of a subscription and a service, but, you know, subscription is, "Hey, I can go for a pay up front or pay as I go." Service is more about, "How do I not buy something just by the outcome?" So, you know, the concept of delivering storage as a service means, what do you want in storage, performance, capacity, availability? Like that's what you want. Well, how do you get that without having to worry about the labor of planning, capacity management? Those labor elements are what's driving it. So I think in the world where you have to do more with less and in a world where security becomes increasingly important where standardization will allow you to secure your landscape against ransomware and those types of things, those trends are driving the SaaSification of storage, and the only way to deliver that is storage as a service. >> So that's good. You maybe thinking about it differently than some of the other companies that I talked to, but so you've made inroads here, pretty big inroads actually, and changed the thinking in enterprise data storage with a huge emphasis on simplicity. That's really Pure's raison d'etre. How does storage as a service fit in to your innovation agenda overall? >> Well, our innovation agenda started, as you mentioned, with the simplicity, you know, a decade ago with the Evergreen Architecture. That architecture was beyond the box. How do you go ahead and say, "I can improve performance or capacity as I need it." Well, that's a foundational element to deliver a service because once you have that technology, you can say, "Oh, you know what? You've subscribed to this performance level. You want to raise your performance level and yes, that'll be a higher dollar per gig or dollar per terabyte," but how do you do that without a data migration? How do you do that with a non-disruptive service change? How do you do that with a delivery via software update? Those elements of non-disruptive updates, when you think SaaS, Salesforce, you don't know when Salesforce doesn't update. You don't know when they're increasing something, adding a new capability. It just shows up. It's not a disruptive event. So to drive that standardization and SaaSification in service delivery, you need to keep that simplicity of delivery first and foremost, and you can't allow, like, if the goal was, "I want to change from this service here to that service here," and a person needed to show up and do a day data migration, that's kind of useless. You've broken the experience of flexibility for a customer. >> Okay, so I like the Salesforce analogy, but I want to jump out do a little side for a second. So I've got to make some commitment to Pure, right? Some baseline commitment, and if I do, then I can dial up and then pay for what I use, and I can dial it down, correct? >> Correct. >> Okay. I can't do that with Salesforce, all right? I could dial up, but then I'm stuck with those licenses. So you have a better model in Salesforce, I would argue. Okay. >> Yeah. I would agree with that. >> Okay, so, and I got to pay for everything up front. Anyway, let's go back to I was kind of pushing at you a little bit at my upfront, you know, about, you know, the ARR model, the all-important, you know, financial metric, but let's talk from the customer standpoint. What are the benefits of consuming storage as a service from your customer's perspective? >> Well, one is when you start your storage journey, do you really know what you need? And I would argue, most of the time, people are guessing, right? It's like, "Well, I think I need this. This is the performance I think I need or this is the capacity I think I need," and, you know, with the scientific method, you actually deploy something, and you're like, "Do I need more? Do I need less?" You find out as you're deploying. So in a storage as a service world, when you have the ability to move up performance levels or move out capacity levels, and you have that flexibility, then you have the ability to just to meet demand as you deploy, and that's the most important element of meeting business needs today. The applications you deploy are not in your control when you're providing storage to your end consumers. >> Yeah. >> They're going to want different levels of storage. They're going to want different performance thresholds. That's kind of a pay, you know, pay for performance type culture, right? You can use HR analogy for it. You pay for performance. You want top talent, you pay for it. You want top storage performance, you pay for it. You don't, you can pay less, and you can actually get lower performance tiers. Not everything is a tier one application, and you need the ability to deploy it, but when you start, how do you know the way your end customers are going to be consuming or do you need a dictated upfront? 'Cause that's infrastructure dictating business inflexibility, and you never want to be in that position. >> I got another analogy for you. It's like, you know, we do a lot of hosting at our home and you know, like Thanksgiving, right? And you go to the liquor store and say, "Okay, what should I get, should we get red wine? We got to go white wine, we got to get some beer. Should I get bubbles? Yeah, I get some bubbles." 'Cause you don't know what people are going to have, and so you over provision everything and then there's a run on bubbles and you're like, "Ah, we're running the bubbles," so you just over buy, but there's a liquor store that actually will take it back. So I got to do business with those guys every time 'cause it's way more flexible. I can dial up capacity or I can dial up performance, and dial it back down if I don't use it. >> Where you're going to be drinking a lot more the next few weeks. >> Yeah, exactly, like which is the last thing you want. Okay, so let's talk about how Pure kind of meets this as a service demand. You've touched upon your differentiators from others in the market. You know, love to hear about the momentum. What are you seeing out there? >> Yeah, look, our business is growing well largely built on, you know, what customers need. Specifically, where the market is at today is there's a set of folks that are interested in the financial transformation of CapEx to OPEX. Like that definitely exists in the industry around, "How do I get a paper use model?" The next kind of more advanced customer is interested in, "How do I go ahead and remove labor to deliver storage?" And a service gets you there on top of a subscription. The most sophisticated customer says, "How do I separate storage production with consumption and production of storage?" Being a storage producer should be about standardization so I could do policy based management. Why is that important? You know, coming back to some of the things I said earlier, in the world where ransomware attacks are common, you need the standardized security policies. Linux has new vulnerabilities every other day, like find two, three critical vulnerabilities a week. How do you stay on top of it? The complexity of staying on top of it should be, "Look, let's standardize and make it a vendor problem, and assume the vendor's going to deliver this to me." So that standardization allows you to have business policies that allow you to stay current and modern. I would argue in, you know, the traditional storage and appliance world, you buy something and the day after you buy it, it's worthless. It's like driving a car off a lot, right? The very next day, the car's not worth what it was when you bought it. Storage is the same way. So how do you ensure that your storage stays current? How do you ensure that it gets a like a fine line that gets better with age? Well, if you're not buying storage and you're buying a performance SLA, it's up to the vendor to meet that SLA so it actually never gets worse over time. This is the way you modernize technology and avoid technology debt as a customer. >> Yeah, I mean, just even though words you're using and the way you're thinking about this precaution, I think are different, and I love the concept of essentially taking my labor cost and transferring them to Pure's R&D. I mean, that's essentially what you're talking about here. So let's stick with the tech for a minute. What do you see as new or emerging technologies that are helping accelerate this shift toward the as a service economy? >> Well, the first thing is I always tell people you can't deliver a service without monitoring because if you can't monitor something, how you're going to know whether you're meeting your service level obligation, right? So everything starts with data monitoring. The next step layering on the technology differentiation is if you need to deliver a service level obligation on top of that data monitoring, you need the ability to flexibly meet whatever performance obligations you have in a tight time window. So supply chain and being able to deliver anywhere becomes important. So if you use the analogy today of how Tesla works or a IoT system works, you have a SaaS management that actually provides instructions that pushes those instructions and policies to the edge. In Tesla's case, that happens to be the car. It'll push software updates to the car. It'll push new map updates to the car, but the car is running independently. It's not like if the car becomes disconnected from the internet, it's going to crash and drive you off the road. In the same way, what if you think about storage as something that needs to be wherever your application is? So people think about cloud as a destination. I think that's a fallacy. You have to think about the world in the view of an application. An application needs data, and that data needs to sit in storage wherever that application sits. So for us, the storage system is just an edge device. It can be sitting in your data center it can be sitting in a Equinix. It can be sitting in hosted and MSP can run it. It can even be sitting in the public cloud, but how do you have central monitoring and central management where you can push policies to update all those devices, very similar to an IOT system? So the technology advantage of doing that means that you can operate anywhere and ensure you have a consistent set of policies, a consistent set of protection, a consistent set of, you know, prevention against ransomware attack regardless of your application, regardless of, you know, where it sits, regardless of what content in it you're on. That approach is very similar to the way the IoT industry has been updating and monitoring edge devices, nest thermostats, you know, Tesla cars, those types of things. That's the thinking that needs to come to storage, and that's the foundation on which we built Pure as a service. >> So that implies or, at least I infer, that you've, obviously, got control of the experience on prem, but you're extending that into AWS, Google, Azure, which suggests to me that you have to hide the underlying complexity of the primitives and APIs in that world, and then eventually, actually today, 'cause you're treating everything like the edge out to the edge, you know, maybe mini Pure at some point in time, but so I call that super cloud, that abstraction layer that floats above all the clouds on-prem and adds that layer of value and is a singular experience, what you're talking about pushing, you know, policy throughout. Is that the right way to think about it? And how does this impact the ability to deliver true storage as a service? >> Oh, that's absolutely the right way of thinking about it. The things that you think about from an abstraction kind of fall in three buckets. First, you need management. So how do you ensure consistent management experience, creating volumes, deleting volumes, creating buckets, creating files, creating directories like management of objects and create a consistent API across the entire landscape? The second one is monitoring. How do you measure utilization and performance obligations or capacity obligations or, you know, policy violations, wherever you're at? And then the third one is more of a business one, which is procurement because you can't do it independent of procurement, meaning what happens when you run out? Do you need to increase your reserve commits? Do you want to go on demand? How do you integrate it into company's procurement models such that you can say, "I can use what I need," and any, it's not like every change order is a request of procurement. That's going to break an as a service delivery model. So to get embedded in a customer's landscape where they don't have to worry about storage, you have to provide that consistency on management, monitoring, and procurement across the tech, and yes, this is deep technology problems, whether it's running our storage on AWS or Azure or running it on prem or, you know, at some point in the future, maybe even, you know, Pure mini at the edge, right? So, you know, all of those things are tied to our Pure as a service delivery. >> Yeah, technically, non-trivial, but hey, you guys are on it. Well, we got to leave it there, Prakash. Thank you, great stuff, really appreciate your time. >> All right, thanks for having me, man. >> You're very welcome. Okay, in a moment, Steve McDowell. For more insights and strategies, he's going to give us the analyst perspective on as a service. You're watching "theCUBE", the leader in high tech enterprise coverage. (bright outro music)
SUMMARY :
at least not the way you used to. Thanks for having me. that are chasing the all important ARR, So, you know, the concept and changed the thinking and you can't allow, So I've got to make some So you have a better model I would agree with that. the all-important, you and you have that flexibility, and you need the ability to deploy it, and you know, like Thanksgiving, right? a lot more the next few weeks. like which is the last thing you want. This is the way you modernize technology and the way you're thinking and ensure you have a out to the edge, you know, such that you can say, but hey, you guys are on it. the leader in high tech
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Pure Storage At Your Storage Service Full Show V1
>>When AWS introduced the modern cloud in 2006, many people didn't realize the impact that it would have on the industry, but some did see the future of an as a service economy coming. I mean, SAS offerings came out several years before. And the idea of applying some of these concepts to infrastructure and simplifying deployment and management, you know, kinda looked enticing to a lot of customers and a subscription model, or, but yet a consumption model was seen as a valuable proposition by many customers. Why not apply it to infrastructure? And why should the hyperscalers have all the fun welcome to at your storage service? My name is Dave ante. And as an analyst at the time, I was excited about the, as a service trend early on. And one of the companies that caught my attention back in the beginning of last decade was pure storage. >>Pure not only was delivering cloud- simplicity, but it's no forklift approach to infrastructure was ahead of its time. And that's why we're here today to dig into what's happening with the, as a service trends that we see popping up all over the world today, we're gonna dig into three sessions with noted experts in the field. First pre Darie is the general manager of the digital experience business unit at pure storage. He's gonna join us. And then we bring in Steve McDowell, Steve's a senior analyst for data and storage at more insights and strategy, a well known consultancy and analyst firm. And finally, we close with Amil sta Emil is the chief commercial officer and chief marketing officer at open line, open lines, a managed service provider. They serve the mid-market and Emil's got a very wide observation space. He's gonna share what he's seeing with customers. So sit back and enjoy the show. >>The cloud has popularized many useful concepts in the past decade, working backwards from the customer two pizza teams, a DevOps mindset, the shared responsibility model in security. And of course the shift from CapEx to OPEX and as a service consumption models. The last item is what we're here to talk about today. Pay for consumption is attractive because you're not over provisioning. At least not the way you used to you'd have to buy for peak capacity events, but there are always two sides to every story and well pay for use more closely ties. It consumption to business value procurement teams. Don't always love the uncertainty of the cloud bill each month, but consumption pricing. And as a service models are here to stay in software and hardware. Hello, I'm Dave ante and welcome to at your storage service made possible by pure storage. And with me is Pash DJI. Who's the general manager of the digital experience business unit at pure Pash. Welcome to the program. >>Thanks Dave. Thanks for having me. >>You bet. Okay. We've seen this shift to, as a service, the, as a service economy, subscription models, and this as a service movement have gained real momentum. It's it's clear over the past several years, what's driving this shift. Is it pressure from investors and technology companies that are chasing the all important ARR, their annual recurring revenue stream? Is it customer driven? Give us your insights. >>Well, look, um, I think we'll do some definitional stuff first. I think we often mix the definition of a subscription and a service, but, you know, subscription is, Hey, I can go for pay up front or pay as I go. Service is more about how do I not buy something just by the outcome. So, you know, the concept of delivering storage as a service means, what do you want in storage performance, capacity availability? Like that's what you want. Well, how do you get that without having to worry about the labor of planning capacity management, those labor elements are what's driving it. So I think in the world where you have to do more with less and in a world where security becomes increasingly important, where standardization will allow you to secure your landscape against ransomware and those types of things, those trends are driving the ation of storage and the only way to deliver that is storage as a service. >>So that's, that's good. You maybe thinking about it differently than some of the other companies that I talked to, but so you, you, you've made inroads here pretty big inroads actually, and changed the thinking in enterprise data storage with a huge emphasis on simplicity. That's really pures rayon Detra. How does storage as a service fit into your innovation agenda overall? >>Well, our innovation agenda started, as you mentioned with the simplicity, you know, a decade ago with the evergreen architecture, that architecture was beyond the box. How do you go ahead and say, I can improve performance or capacity as I need it? Well, that's a foundational element to deliver a service because once you have that technology, you can say, oh, you know what? You've subscribed to this performance level. You want to raise your performance level and yes, that'll be a higher dollar per gig or dollar per terabyte. But how do you do that without a data migration? How do you do that with a non disruptive service change? How do you do that with a delivery via a software update, those elements of non disruptive updates. When you think SAS, Salesforce, you don't know when Salesforce doesn't update, you don't know when they're increasing something, adding a new capability just shows up. It's not a disruptive event. So to drive that standardization and sation and service delivery, you need to keep that simplicity of delivery first and foremost, and you can't allow, like, if the goal was, I want to change from this service tier to that service tier and a person needed to show up and do a day data migration, that's kind of useless. You've broken the experience of flexibility for a customer. >>Okay. So I like the Salesforce analogy, but I wanna jump out, do a little side for a second. So I I've gotta, I've gotta make some commitment to pure, right. Some baseline commitment. And if I do, then I can dial up and pay for what I use and I can dial it down. Correct? Correct. Okay. I can't do that with Salesforce. <laugh> right. I could dial up, but then I'm stuck with those licenses. So you have a better model in Salesforce. I would argue. Okay. Yeah, >>I would, I would agree with that. >>Okay. So, and I gotta pay for everything up front anyway. Um, let's go back. I was kind of pushing at you a little bit at my upfront, you know, about, you know, the ARR model, the, the all important, you know, financial metric, but let's talk from the customers standpoint. What are the benefits of consuming storage as a service from your customer's perspective? >>Well, one is when you start your storage journey, do you really know what you need? And I would argue most of the time people are guessing, right? It's like, well, I think I need this. This is the performance I think I need. Or this is the capacity I think I need. And, you know, with the scientific method, you actually deploy something and you're like, do I need more? Do I need less? You find out as you're deploying. So in a storage as a service world, when you have the ability to move up performance levels or move out capacity levels, and you have that flexibility, then you have the ability to just to meet demand as you deploy. And that's the most important element of meeting business needs today. The applications you deploy are not in your control when you're providing storage to your end consumers. >>Yeah. They're gonna want different levels of storage. They're gonna want different performance thresholds. That's kind of a pay, you know, pay for performance type culture, right? You can use HR analogies for it. You pay for performance. You want top talent, you pay for it. You want top storage performance, you pay for it. Um, you don't, you can pay less and you can actually get lower performance, tiers, not everything is a tier one application. And you need the ability to deploy it. But when you start, how do you know the way your end customers are gonna be consuming? Or do you need a dictated upfront? Cause that's infrastructure dictating business inflexibility, and you never want to be in that position. >>I, I got another analogy for you. It's like, you know, we do a lot of hosting at our home and you know, like Thanksgiving, right? And you go to the liquor store and say, okay, what should I get? Should we get red wine? We gotta go white wine. We gotta get some beer. Should I get bubbles? Yeah, I get some bubbles. Cause you don't know what people are gonna have. And so you over provision everything <laugh> and then there's a run on bubbles and you're like, ah, we run outta bubbles. So you just over buy, but there's a liquor store that actually will take it back. So I gotta do business with those guys every time. Cuz it's way more flexible. I can dial up capacity or can dial up performance and dial it back down if I don't use it >>Or you or you're gonna be drinking a lot more the next few weeks. >>Yeah, exactly. Which is the last thing you want. Okay. So let's talk about how pure kind of meets this as a service demand. You've touched upon your, your differentiators from others in the market. Um, you know, love to hear about the momentum. What, what are you seeing out there? >>Yeah. Look, our business is growing well, largely built on, you know, what customers need. Um, specifically where the market is at today is there's a set of folks that are interested in the financial transformation of CapEx to OPEX, where like that definitely exists in the industry around how do I get a pay use model? The next kind of more advanced customer is interested in how do I go ahead and remove labor to deliver storage? And a service gets you there on top of a subscription. The most sophisticated customer says, how do I separate storage production with consumption and production of storage. Being a storage producer should be about standardization. So I could do policy based management. Why is that important? You know, coming back to some of the things I said earlier in the world where ransomware attacks are common, you need the standardized security policies. >>Linux has new vulnerabilities every, every other day, like find 2, 2, 3 critical vulnerabilities a week. How do you stay on top of it? The complexity of staying on top of it should be, look, let's standardize and make it a vendor problem. And assume the vendor's gonna deliver this to me. So that standardization allows you to have business policies that allow you to stay current and modern. I would argue in, you know, the traditional storage and appliance world, you buy something and the day a, the day after you buy it, it's worthless. It's like driving a car off a lot, right? The very next day, the car's not worth what it was when you bought it. Storage is the same way. So how do you ensure that your storage stays current? How do you ensure that it gets like a fine line that gets better, better with age? Well, if you're not buying storage and you're buying a performance SLA, it's up to the vendor to meet that SLA. So it actually never gets worse over time. This is the way you modernize technology and avoid technology debt as a customer. >>Yeah. I mean, just even though words you're using in the way you're thinking about this precaution, I think are, are, are different. Uh, and I love the concept of essentially taking my labor cost and transferring them to pures R and D I mean, that's essentially what you're talking about here. Um, so let's, let's, let's stick with the, the, the tech for a minute. What do you see as new or emerging technologies that are helping accelerate this shift toward the, as a service economy? >>Well, the first thing is I always tell people, you can't deliver a service without monitoring, because if you can't monitor something, how you're gonna know what your, whether you're meeting your service level obligation, right? So everything starts with data monitoring. The next step layering on the technology. Differentiation is if you need to deliver a service level, OB obligation on top of that data monitoring, you need the ability to flexibly, meet whatever performance obligations you have in a tight time window. So supply chain and being able to deliver anywhere becomes important. So if you use the analogy today of how Tesla works or a IOT system works, you have a SaaS management that actually provides instructions that push pushes those instructions and policies to the edge. In Tesla's case, that happens to be the car it'll push software updates to the car. It'll push new map updates to the car, but the car is running independently. >>It's not like if the car becomes disconnected from the internet, it's gonna crash and drive you off the road in the same way. What if you think about storage as something that needs to be wherever your application is? So people think about cloud as a destination. I think that's a fallacy. You have to think about the world in the world in the view of an application, an application needs data, and that data needs to sit in storage wherever that application sits. So for us, the storage system is just an edge device. It can be sitting in your data center, it can be sitting in a Equinix. It can be sitting in hosted, an MSP can run. It can, can even be sitting in the public cloud, but how do you have central monitoring and central management where you can push policies to update all those devices? >>Very similar to an I IOT system. So the technology advantage of doing that means that you can operate anywhere and ensure you have a consistent set of policies, a consistent set of protection, a consistent set of, you know, prevention against ransomware attack, regardless of your application, regardless of, uh, you know, where it sits, regardless of what content in you're on that approach is very similar to the way the T industry has been updating and monitoring edge devices, nest, thermostats, you know, Tesla cars, those types of things. That's the thinking that needs to come to. And that's the foundation on which we built PI as a service. >>So that implies, or at least I infer that you've obviously got control of the experience on Preem, but you're extending that, uh, into AWS, Google Azure, which suggests to me that you have to hide the underlying complexity of the primitives and APIs in that world. And then eventually, actually today, cuz you're treating everything like the edge out to the edge, you know, maybe, maybe mini pure at some point in time. But so I call that super cloud that abstraction layer that floats above all the clouds on-prem and adds that layer of value. And is this singular experience? What you're talking about pushing, you know, policy throughout, is that the right way to think about it and how does this impact the ability to deliver true storage as a service? >>Oh, uh, that's absolutely the right way of thinking about it. The things that you think about from a, an abstraction kind of fall in three buckets, first, you need management. So how do you ensure a consistent management experience creating volumes, deleting volumes, creating buckets, creating files, creating directories, like management of objects and create a consistent API across the entire landscape. The second one is monitoring, how do you measure utilization and performance obligations or capacity obligations or uh, you know, policy violations, wherever you're at. And then the third one is more of a business one, which is procurement because you can't do it independent of procurement. Meaning what happens when you run out, you need to increase your reserve commits. Do you want to go on demand? How do you integrate it into company's procurement models, such that you can say, I can use what I need and any, it's not like every change order is a request of procurement. That's gonna break an as a service delivery model. So to get embedded in a customer's landscape where they don't have to worry about storage, you have to provide that consistency on management, monitoring and procurement across the tech. And yes, this is deep technology problems, whether it's running our storage on AWS or Azure or running it on prem or, you know, at some point in the future, maybe even, um, you know, pure mini at the edge. Right. <laugh> so, you know, tho all of those things are tied to our pure, a service delivery. >>Yeah, technically non-trivial but uh, Hey, you guys are on it. Well, we gotta leave it there. Pash. Thank you. Great stuff. Really appreciate your time. >>All right. Thanks for having me, man. >>You're very welcome. Okay. In a moment, Steve McDowell from more insights and strategies, it's gonna give us the analyst perspective on, as a service, you're watching the cube, the leader in high tech enterprise coverage. >>Why are customers making the change to pure as a service >>Other vendors, offering flexible consumption models will promise you the world on the surface. It's just what you need. But then you notice the asterisk that dreaded fine print. That turns just what you need into long-term commitments, disruptive upgrades and unpredictable costs, pure storage, launched pure as a service to provide the flexibility to respond to your ever changing needs. With clear per unit costs, no large upfront purchases and no asterisks. A usage based model should be simple, innovative, and adapt with the changing market. Unlike other vendors, pure is offering exactly that with options, for service tiers and short term contracts in a single unified subscription that allows you to improve your discounts over time. Pure makes sure you can grow and upgrade without ever taking your environment offline and without the constant worry of hidden costs with complete billing, transparency, unlike any other, you only pay for what you use and pure one helps track and predict demand from day to day, making sure you never outgrow your storage. So why are customers making the change to pure as a service convenient solutions with unlimited potential without the dreaded fine print? It's as simple as that, >>We're back with Steve McDowell, the principal analyst for data and storage at more insights and strategy. Hey Steve, great to have you on, tell us a little bit about yourself. You got a really interesting background and kind of a blend of engineering and strategy and what's your research focus? >>Yeah, so my research, my focus area is data and storage and all the things around that, right? Whether it's OnPrim or cloud or, or, or, you know, software as a service. Uh, my background, as you said, is a blend, right? I grew up as an engineer. I started off as an OS developer at IBM. Uh, came up through the ranks and, and shifted over into corporate strategy and product marketing and product management. Uh, and I've been doing, uh, working as an industry analyst now for about five years, more insights and strategy. >>Steve, how do you see this playing out in the next three to five years? I mean, cloud got it all started. It's gonna snowballing, you know, however you look at it, percent of spending on storage that you think is gonna land in as a service. How, how do you see the evolution here? >>I think it buyers are looking at as a service, a consumption based is, is, uh, uh, you know, a natural model. It extends the data center, brings all of the flexibility, all of the goodness that I get from public cloud, but without all of the downside and uncertainty around cost and security and things like that, right. That also come with a public cloud and it's delivered by technology providers that I trust and that I know, and that I've worked with, you know, for, in some cases, decades. So I don't know that we have hard data on how much, uh, adoption there is of the model, but we do know that it's trending up, uh, you know, and every infrastructure provider at this point has some flavor of offering in the space. So it's, it's clearly popular with CIOs and, and it practitioners alike. >>So Steve organizations are at a they're different levels of maturity in their, their transformation journeys. And of course, as a result, they're gonna have different storage needs that are aligned with their bottom line business objectives. From an it buyer perspective, you may have data on this, even if it's anecdotal, where does storage as a service actually fit in and can it be a growth lever >>Can absolutely be, uh, a growth leader. Uh, it, it gives me the flexibility as, as an it architect to scale my business over time, without worrying about how much money I have to invest in, in storage hardware. Right? So I, I get kind of, again, that cloudlike flexibility in terms of procurement and deployment. Uh, but it gives me that control by oftentimes being on site within my permit. And I manage it like a storage array that I own. Uh, so you know, it, it's, it's beautiful for, for organizations that are scaling and, and it's equally nice for organizations that just wanna manage and control cost over time. Um, so it's, it's a model that makes a lot of sense and fits and, and certainly growing in adoption and popularity. >>How about from a technology vendor perspective you've worked for in the, in the tech industry mm-hmm <affirmative> for, for companies? What do you think is gonna define the winners and losers in this space? If you were running strategy for, uh, storage company, what would you say? >>I, I think the days of, of a storage administrator managing, you know, rate levels and recovering and things of that sort are over, right, what would, what these organizations like pure delivering, but they're offerings is, is simplicity. It's a push button approach to deploying storage to the applications and workloads that need it, right. It becomes storage as a utility. So it's not just the, you know, the consumption based economic model of, of, uh, as a service. Uh, it, it's also the manageability that comes with that, or the flexibility of management that comes with that. I can push a button, deploy bites to, to, uh, you know, a workload that needs it. Um, and it just becomes very simple, right. For the storage administrator in a way that, you know, kind of old school OnPrim storage can't really deliver. >>You know, I wanna, I wanna ask you, I mean, I've been thinking about this because again, a lot of companies are, are, you know, moving, hopping on the, as a service bandwagon, I feel like, okay, in and of itself, that's not where the innovation lives, the innovation is gonna come from making that singular experience from on-prem to the clouds across clouds, maybe eventually out to the edge. Um, do you, do you, where do you see the innovation in as a service? >>Well, there there's two levels of innovation, right? One, one is business model innovation, right? I, I now have an organizational flexibility to build the infrastructure, to support my digital transformation efforts. Um, but on the product side and the offering side, it really is, as you said, it's about the integration of experience. Every enterprise today touches a cloud in some way, shape or form, right. I have data spread, not just in my data center, but at the edge, uh, oftentimes in a public cloud, maybe a private cloud, I don't know where my data is and it really lands on the storage providers to help me manage that and deliver that, uh, uh, manageability experience, uh, to, to the it administrators. So when I look at innovation in this space, you know, it's not just a storage array and rack that I'm leasing, right? This is not another lease model. It's really fully integrated, you know, end to end management of my data and, and, you know, and all of the things around that. >>Yeah. So you, to your point about a lease model is if you're doing a lease, you know, yeah. You can shift CapEx to OPEX, but you're still committed to, to, you have to over provision, whereas here, and I wanted to ask you about that. It's, it's, it's, it's an interesting model, right? Cuz you gotta read the fine print. Of course the fine print says you gotta commit to some level typically. And then if, you know, if you go over you, you charge for what you use and you can scale that back down and that's, that's gotta be very attractive for folks. I, I wonder if you will ever see like true cloud-like consumption pricing, that is two edges to it. Right. You see consumption based pricing in some of the software models and you know yeah. People like it, the lines of business maybe cuz they pay in by the drink, but then procurement hates it cuz they don't have predictability. How do you see the pricing models? Do you see that maturing or do you think we're sort of locked in on, on where we're at? >>No, I, I do. I do see that maturing. Right? And, and when you work with a company like pure to understand their consumption based and as a service offerings, uh, it, it really is sitting down and understanding where your data needs are going to scale, right? You, you buy in at a certain level, uh, you have capacity planning. You can expand if you need to, you can shrink if you need to. So it really does put more control in the hands of the it buyer than uh, well certainly then traditional CapEx based on-prem but also more control than you would get, you know, working with an Amazon or an Azure. >>Okay. Thanks Steve. We'll leave it there for now. I'd love to have you back. Keep it right there at your storage service continues in a moment. >>Some things are meant to last your storage should be one of them say hello to the evergreen storage program, say goodbye to refreshes and rebates. Forget planned downtime, performance impact and data migrations. Forget forklift upgrades. Evergreen storage starts with your agile storage architecture and covers the entire life cycle of the array from first purchase to ongoing use. And whenever it's time to modernize and grow, your satisfaction is covered with an evergreen subscription. You can get a full refund within 30 days for any reason, >>Our right size guarantee lets you buy just the storage you need never too much. Never not enough. Your array software is all inclusive. Even future releases and features maintenance and support costs remain constant throughout the life of your array. Proactive expert support is a true white glove experience. Evergreen maintenance ensures availability of any replacement components. Meet the demands of your business and protect your investment. Evergreen gold includes controller upgrades every three years. And if something unplanned comes up, evergreen gold provides upgrade flex the leading anytime upgrade feature to upgrade controllers whenever you need it. As you expand evergreen gold provides credits to consolidate storage with denser more modern flash. Evergreen is your subscription to continuous innovation for storage that lasts 10 years or more. Some things are meant to last make your storage. One of them >>We're back at your storage service. Emil Stan is here. He's the chief commercial officer and chief marketing officer of open line. Thank you Emil for coming on the cube. Appreciate your time. >>Thank you, David. Nice. Uh, glad to be here. >>Yes. Yeah. So tell us about open line. You're a managed service provider. What's your focus? >>Yeah, we're actually a cloud managed service provider and I do put cloud in front of the managed services because it's not just only the spheres that we manage. We have to manage the clouds as well nowadays. And then unfortunately, everybody only thinks there's one cloud, but it's always multiple layers in the cloud. So we have a lot of work in integrating it. We're a cloud manages provider in the Netherlands, focusing on, uh, companies who have head office in the Netherlands, mainly in the, uh, healthcare local government, social housing logistics department. And then in the midst size companies between say 250 to 10,000 office employees. Uh, and that's what we do. We provide 'em with excellent cloud managed services, uh, as it should be >>Interesting, you know, a lot early on in the cloud days, highly regulated industries like healthcare government were somewhat afraid of the cloud. So I'm sure that's one of the ways in which you provide value to your customers is helping them become cloud proficient. Maybe you could talk a little bit more about the value prop to customers. Why do they do business with you? >>And I think, uh, there are a number of reasons why they do business with us or choose to choose for our manage services provider that first of course are looking for stability and continuity. Uh, and, and from a cost perspective, predict predictable costs. But nowadays you also have a shortage in personnel and knowledge. So, and it's not always very easy for them to access, uh, those skill sets because most it, people just want to have, uh, a great variety in work, what they are doing, uh, towards, towards the local government, uh, healthcare, social housing. They actually, uh, a sector that, uh, that are really in between embracing the public cloud, but also have a lot of legacy and, and bringing together best of all, worlds is what we do. So we also bring them comfort. We do understand what legacy, uh, needs from a manager's perspective. We also know how to leverage the benefits in the public cloud. Uh, and, uh, I'd say from a marketing perspective, actually we focus on using an ideal cloud, being a mix of traditional and future based cloud. >>Thank you. I, you know, I'd like to get your perspective on this idea of as a service and the, as a service economy that we often talk about on the cube. I mean, you work with a lot of different companies. We talked about some of the industries and, and increasingly it seems like organizations are focused more on outcomes, continuous value delivery via, you know, suites of services and, and they're leaning into platforms versus one off product offerings, you know, do you see that? How do you see your customers reacting to this as a service trend? >>Yeah. Uh, to be honest, sometimes it makes it more complex because services like, look at your Android or iPhone, you can buy apps, uh, and download apps the way you want to. So they have a lot of apps about how do you integrate it into one excellent workflow, something that works for you, David or works for me. Uh, so the difficulty, some sometimes lies in, uh, the easy accessibility that you have to those solutions, but nobody takes into account that they're all part of a chain, a workflow supply chain, uh, and, and, uh, they're being hyped as well. So what we also have a lot of time in, in, in, in managing our customers is that the tremendous feature push feature push that there is from technology providers, SaaS providers. Whereas if you provide 10 features, you only need one or two, uh, but the other eight are very distracting from your prime core business. Uh, so there's a natural way in that people are embracing, uh, SA solutions, embracing cloud solutions. Uh, but what's not taken into account as much is that we love to see it is the way that you integrate all those solutions toward something that's workable for the person that's actually using them. And it's seldomly that somebody is only using one solution. There's always a chain of solutions. Um, so yeah, there are a lot of opportunities, but also a lot of challenges for us, but also for our customers, >>You see that trend toward, as a service continuing, or do you actually see based on what you're just saying that pendulum, you know, swinging back and forth, somebody comes out with a new sort of feature product and that, you know, changes the dynamic or do you see as a service really having legs? >>Ah, I, I think that's very, very good question, David, because that's something that's keeping our busy all the time. We do see a trend in a service looking at, uh, talk about pure later on. We also use pure as a service more or less. Yeah. And that really helps us. Uh, but you see, uh, um, that sometimes people make a step too, too fast, too quick, not well thought of, and then you see what they call sort of cloud repatriation, tend that people go back to what they're doing and then they stop innovating or stop leveraging. The possibilities are actually there. Uh, so from our consultancy, our guidance and architecture point of view, we try to help them as much as possible to think in a SA thought, but just don't use the, cloud's just another data center. Uh, and so it's all about managing the maturity on our side, but on our customer side as well. >>So I'm interested in how your sort of your philosophy and, and as relates, I think in, in, in terms of how you work with pure, but how do you stay tightly in lockstep with your customers so that you don't over rotate so that you don't and send them to over rotate, but then you're not also, you don't wanna be too late to the game. How, how do you manage all that? >>Oh, there's, there's, there's a world of interactions between us and our customers. And so I think a well known, uh, uh, thing that people is customer intimacy. That's very important for us to get to know our customers and get to predict which way they're moving. But the, the thing that we add to it is also the ecosystem intimacy. So no, the application and services landscape, our customers know the primary providers and work with them, uh, to, to, to create something that, that really fits the customers. They just not looked at from our own silo where a cloud managed service provider that we actually work in the ecosystem with, with, with, with the primary providers. And we have, I think with the average customers, I think we have, uh, uh, in a month we have so much interactions on our operational level and technical levels, strategic level. >>We do bring together our customers also, and to jointly think about what we can do together, what we independently can never reach. Uh, but we also involve our customers in, uh, defining our own strategy. So we have something we call a customer involvement board. So we present a strategy and say, does it make sense? Eh, this is actually what you need also. So we take a lot of our efforts into our customers and we do also, uh, understand the significant moments of truth. We are now in this, in this broadcast, David there. So you can imagine that at this moment, not thinking go wrong. Yeah. If, if, if the internet stops that we have a problem. And now, so we, we actually know that this broadcast is going on for our customers and we manage that. It's always on, uh, uh, where in the other moments in the week, we might have a little less attention, but this moment we should be there. And these moments of truth that we really embrace, we got them well described. Everybody working out line knows what the moment of truth is for our customers. Uh, uh, so we have a big logistics provider. For instance, you does not have to ask us to, uh, have, uh, a higher availability on black Friday or cyber Monday. We know that's the most important part in the year for him or her. Does it answer your question, David? >>Yes. We know as well. You know, when these big, the big game moments you have to be on your top, uh, top of your game, uh, you know, the other thing Emil about this as a service approach that I really like is, is it's a lot of it is consumption based and the data doesn't lie, you can see adoption, you know, daily, weekly, monthly. And so I wonder how you're leveraging pure as a service specifically in what kind of patterns you're seeing in, in, in the adoption. >>Uh, yeah, pure as a service for our customers is mainly never visible. Uh, we provide storage services to provide storage solutions, storage over is part of a bigger thing of a server of application. Uh, so the real benefits, to be honest, of course, towards our customer, it's all flash, uh, uh, and they have the fastest, fastest storage is available. But for ourself, we, uh, we use less resources to manage our storage. We have far more that we have a near to maintenance free storage solution now because we have it as a service and we work closely together with pure. Uh, so, uh, actually the way we treat our customers is that way pure treats us as well. And that's why there's a used click. So the real benefits, uh, uh, how we leverage is it normally we had a bunch of guys managing our storage. Now we only have one and knowing that's a shortage of it, personnel, the other persons can well be, uh, involved in other parts of our services or in other parts of an innovation. So, uh, that's simply great. >>You know, um, my takeaway the meal is that you've made infrastructure, at least, least the storage infrastructure, invisible to your customers, which is the way it should be. You didn't have to worry about it. And you've, you've also attacked the, the labor problem. You're not, you know, provisioning lungs anymore, or, you know, tuning the storage, you know, with, with arms and legs. So that's huge. So that gets me into the next topic, which is business transformation. That, that means that I can now start to attack the operational model. So I've got a different it model. Now I'm not managing infrastructure same way. So I have to shift those resources. And I'm presuming that it's a bus now becomes a business transformation discussion. How are you seeing your customers shift those resources and focus more on their business as a result of this sort of as a service trend? >>I think I do not know if they, they transform their business. Thanks to us. I think that they can more leverage their own business. They have less problems, less maintenance, et cetera, cetera, but we also add new, uh, certainties to it, like, uh, uh, the, the latest service we we released was imutable storage being the first in the Netherlands offering this thanks to, uh, thanks to the pure technology, but for customers, it takes them to give them a good night rest because, you know, we have some, uh, geopolitical issues in the world. Uh, there's a lot of hacking. People have a lot of ransomware attacks and, and we just give them a good night rest. So from a business transformation, does it transform their business? I think that gives them a comfort in running your business, knowing that certain things are well arranged. You don't have to worry about that. We will do that. We'll take it out of your hands and you just go ahead and run your business. Um, so to me, it's not really a transformation is just using the right opportunities at the right moment. >>The imutable piece is interesting because, because, but speaking of as a service, you know, anybody can go on the dark web and buy ransomware as a service. I mean, as it's seeing the, as a service economy hit, hit everywhere, the good and the, and the not so good. Um, and so I presume that your customers are, are looking at, I imutability as another service capability of the service offering and really rethinking, maybe because of the recent, you know, ransomware attacks, rethinking how they, they approach, uh, business continuance, business resilience, disaster recovery. Do you see that? >>Yep, definitely. Definitely. I tell not all of them yet. Imutable storage. So it's like an insurance as well, which you have when you have imutable storage and you have been, you have a ransomware attack at least have you part of data, which never, if data is corrupted, you cannot restore it. If your hardware is broken, you can order new hardware. Every data is corrupted. You cannot order new data. Now we got that safe and well. And so we offer them the possibility to, to do the forensics and free up their, uh, the data without tremendous loss of time. Uh, but you also see that you raise the new, uh, how do you say, uh, the new baseline for other providers as well? Eh, so there's security of the corporate information security officer, the CIO, they're all very happy with that. And they, they, they raise the baseline for us as well. So they can look at other security topics and look from say, security operation center. Cuz now we can really focus on our prime business risks because from a technical perspective, we got it covered. How can we manage the business risk, uh, which is a combination of people, processes and technology. >>Right. Makes sense. Okay. I'll give you the last word. Uh, talk about your relationship with pure, where you wanna see that that going in the future. >>Uh, I hope we've be working together for a long time. Uh, I, I ex experienced them very involved. Uh, it's not, we have done the sell and now it's all up to you now. We were closely working together. I know if I talk to my prime architect, Marcel height is very happy and it looks a little more or less if we work with pure, like we're working with colleagues, not with a supplier and a customer, uh, and uh, the whole pure concept is fascinating. Uh, I, uh, I had the opportunity to visit San Francisco head office and they told me to fish in how they launched, uh, pure being, if you want to implement it, it had to be on one credit card. The, the, the menu had to be on one credit card. Just a simple thought of put that as your big area, audacious goal to make the simplest, uh, implementable storage available. But for us, uh, it gives me the expectation that there will be a lot of more surprises with pur in the near future. Uh, and for us as a provider, what we, uh, literally really look forward to is that, that for us, these new developments will not be new migrations. It will be a gradual growth of our services or storage services. Uh, so that's what I expect. And that was what I, and we look forward to. >>Yeah, that's great. Uh, thank you so much, Emil, for coming on the, the cube and, and sharing your thoughts and best of luck to you in the future. >>Thank you. You're welcome. Thanks for having me. >>You're very welcome. Okay. In a moment, I'll be back to give you some closing thoughts on at your storage service. You're watching the cube, the leader in high tech enterprise coverage. >>Welcome to evergreen, a place where organizations grow and thrive rooted in the modern data experience in evergreen people find a seamless, simple way to leverage data through market leading sustainable technology, financial flexibility, and effortless management, allowing everyone to innovate with data confidently. Welcome to pure storage. >>Now, if you're interested in hearing more about Pure's growing portfolio of technology and services and how they're transforming the enterprise data experience, be sure to register for pure accelerate tech Fest. 22 digital event is also taking place as an in-person event. On June 8th, you can register at pure storage.com/accelerate, pure storage.com/accelerate. You're watching the cue, the leader in enterprise and emerging tech coverage.
SUMMARY :
you know, kinda looked enticing to a lot of customers and a subscription model, First pre Darie is the general manager of the digital experience At least not the way you used to you'd have to buy for Is it pressure from investors and technology companies that are chasing the all important ARR, the definition of a subscription and a service, but, you know, subscription is, and changed the thinking in enterprise data storage with a huge emphasis on simplicity. and service delivery, you need to keep that simplicity of delivery So you have a better model in Salesforce. you know, the ARR model, the, the all important, you know, financial metric, but let's talk from the customers And, you know, with the scientific method, you actually deploy something and you're like, And you need the ability to deploy It's like, you know, we do a lot of hosting at our home and you know, Which is the last thing you want. And a service gets you there on top of a subscription. So how do you ensure that your storage stays current? What do you see as new or emerging technologies that Well, the first thing is I always tell people, you can't deliver a It's not like if the car becomes disconnected from the internet, it's gonna crash and drive you off the road in uh, you know, where it sits, regardless of what content in you're on that approach is Google Azure, which suggests to me that you have to hide the underlying complexity you know, at some point in the future, maybe even, um, you know, pure mini at the edge. Yeah, technically non-trivial but uh, Hey, you guys are on it. Thanks for having me, man. the leader in high tech enterprise coverage. from day to day, making sure you never outgrow your storage. Hey Steve, great to have you on, tell us a little bit about yourself. Whether it's OnPrim or cloud or, or, or, you know, software as a service. It's gonna snowballing, you know, however you look at it, percent of spending on storage adoption there is of the model, but we do know that it's trending up, uh, you know, and every infrastructure provider From an it buyer perspective, you may have data on this, Uh, so you know, it, it's, it's beautiful for, For the storage administrator in a way that, you know, kind of old school OnPrim storage can't are, you know, moving, hopping on the, as a service bandwagon, I feel like, It's really fully integrated, you know, end to end management of my data and, And then if, you know, if you go over you, You can expand if you need to, you can shrink if you need to. I'd love to have you back. life cycle of the array from first purchase to ongoing use. feature to upgrade controllers whenever you need it. Thank you Emil for coming on the cube. What's your focus? only the spheres that we manage. Interesting, you know, a lot early on in the cloud days, highly regulated industries you also have a shortage in personnel and knowledge. I, you know, I'd like to get your perspective on this idea of as a service and the, much is that we love to see it is the way that you integrate all those solutions toward something that's workable Uh, but you I think in, in, in terms of how you work with pure, but how do you stay tightly So no, the application and services landscape, So you can imagine that at this moment, not thinking go wrong. You know, when these big, the big game moments you have to be on your So the real benefits, uh, uh, how we leverage is it normally we had a bunch of guys managing You're not, you know, provisioning lungs anymore, or, you know, tuning the storage, but for customers, it takes them to give them a good night rest because, you know, service offering and really rethinking, maybe because of the recent, you know, So it's like an insurance as well, which you have when you have imutable storage and you have been, where you wanna see that that going in the future. Uh, it's not, we have done the sell and now it's all up to you now. of luck to you in the future. Thanks for having me. You're very welcome. everyone to innovate with data confidently. you can register at pure storage.com/accelerate,
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Prakash Darji, Pure Storage
(upbeat music) >> Hello, and welcome to the special Cube conversation that we're launching in conjunction with Pure Accelerate. Prakash Darji is here, is the general manager of Digital Experience. They actually have a business unit dedicated to this at Pure Storage. Prakash, welcome back, good to see you. >> Yeah Dave, happy to be here. >> So a few weeks back, you and I were talking about the Shift 2 and as a service economy and which is a good lead up to Accelerate, held today, we're releasing this video in LA. This is the fifth in person Accelerate. It's got a new tagline techfest so you're making it fun, but still hanging out to the tech, which we love. So this morning you guys made some announcements expanding the portfolio. I'm really interested in your reaffirmed commitment to Evergreen. That's something that got this whole trend started in the introduction of Evergreen Flex. What is that all about? What's your vision for Evergreen Flex? >> Well, so look, this is one of the biggest moments that I think we have as a company now, because we introduced Evergreen and that was and probably still is one of the largest disruptions to happen to the industry in a decade. Now, Evergreen Flex takes the power of modernizing performance and capacity to storage beyond the box, full stop. So we first started on a project many years ago to say, okay, how can we bring that modernization concept to our entire portfolio? That means if someone's got 10 boxes, how do you modernize performance and capacity across 10 boxes or across maybe FlashBlade and FlashArray. So with Evergreen Flex, we first are starting to hyper disaggregate performance and capacity and the capacity can be moved to where you need it. So previously, you could have thought of a box saying, okay, it has this performance or capacity range or boundary, but let's think about it beyond the box. Let's think about it as a portfolio. My application needs performance or capacity for storage, what if I could bring the resources to it? So with Evergreen Flex within the QLC family with our FlashBlade and our FlashArray QLC projects, you could actually move QLC capacity to where you need it. And with FlashArray X and XL or TLC family, you could move capacity to where you need it within that family. Now, if you're enabling that, you have to change the business model because the capacity needs to get build where you use it. If you use it in a high performance tier, you could build at a high performance rate. If you use it as a lower performance tier, you could build at a lower performance rate. So we changed the business model to enable this technology flexibility, where customers can buy the hardware and they get a pay per use consumption model for the software and services, but this enables the technology flexibility to use your capacity wherever you need. And we're just continuing that journey of hyper disaggregated. >> Okay, so you solve the problem of having to allocate specific capacity or performance to a particular workload. You can now spread that across whatever products in the portfolio, like you said, you're disaggregating performance and capacity. So that's very cool. Maybe you could double click on that. You obviously talk to customers about doing this. They were in pain a little bit, right? 'Cause they had this sort of stovepipe thing. So talk a little bit about the customer feedback that led you here. >> Well, look, let's just say today if you're an application developer or you haven't written your app yet, but you know you're going to. Well, you need that at least say I need something, right? So someone's going to ask you what kind of storage do you need? How many IOPS, what kind of performance capacity, before you've written your code. And you're going to buy something and you're going to spend that money. Now at that point, you're going to go write your application, run it on that box and then say, okay, was I right or was I wrong? And you know what? You were guessing before you wrote the software. After you wrote the software, you can test it and decide what you need, how it's going to scale, et cetera. But if you were wrong, you already bought something. In a hyper disaggregated world, that capacity is not a sunk cost, you can use it wherever you want. You can use capacity of somewhere else and bring it over there. So in the world of application development and in the world of storage, today people think about, I've got a workload, it's SAP, it's Oracle, I've built this custom app. I need to move it to a tier of storage, a performance class. Like you think about the application and you think about moving the application. And it takes time to move the application, takes performance, takes loan, it's a scheduled event. What if you said, you know what? You don't have to do any of that. You just move the capacity to where you need it, right? >> Yep. >> So the application's there and you actually have the ability to instantaneously move the capacity to where you need it for the application. And eventually, where we're going is we're looking to do the same thing across the performance hearing. So right now, the biggest benefit is the agility and flexibility a customer has across their fleet. So Evergreen was great for the customer with one array, but Evergreen Flex now brings that power to the entire fleet. And that's not tied to just FlashArray or FlashBlade. We've engineered a data plane in our direct flash fabric software to be able to take on the personality of the system it needs to go into. So when a data pack goes into a FlashBlade, that data pack is optimized for use in that scale out architecture with the metadata for FlashBlade. When it goes into a FlashArray C it's optimized for that metadata structure. So our Purity software has made this transformative to be able to do this. And we created a business model that allowed us to take advantage of this technology flexibility. >> Got it. Okay, so you got this mutually interchangeable performance and capacity across the portfolio beautiful. And I want to come back to sort of the Purity, but help me understand how this is different from just normal Evergreen, existing evergreen options. You mentioned the one array, but help us understand that more fully. >> Well, look, so in addition to this, like we had Evergreen Gold historically. We introduced Evergreen Flex and we had Pure as a service. So you had kind of two spectrums previously. You had Evergreen Gold on one hand, which modernized the performance and capacity of a box. You had Pure as a service that said don't worry about the box, tell me how many IOPS you have and will run and operate and manage that service for you. I think we've spoken about that previously on theCUBE. >> Yep. >> Now, we have this model where it's not just about the box, we have this model where we say, you know what, it's your fleet. You're going to run and operate and manage your fleet and you could move the capacity to where you need it. So as we started thinking about this, we decided to unify our entire portfolio of sub software and subscription services under the Evergreen brand. Evergreen Gold we're renaming to Evergreen Forever. We've actually had seven customers just crossed a decade of updates Forever Evergreen within a box. So Evergreen Forever is about modernizing a box. Evergreen Flex is about modernizing your fleet and Evergreen one, which is our rebrand of Pure as a service is about modernizing your labor. Instead of you worrying about it, let us do it for you. Because if you're an application developer and you're trying to figure out, where should I put my capacity? Where should I do it? You can just sign up for the IOPS you need and let us actually deliver and move the components to where you need it for performance, capacity, management, SLAs, et cetera. So as we think about this, for us this is a spectrum and a continuum of where you're at in the modernization journey to software subscription and services. >> Okay, got it. So why did you feel like now was the right time for the rebranding and the renaming convention, what's behind? What was the thing? Take us inside the internal conversations and the chalkboard discussion? >> Well, look, the chalkboard discussion's simple. It's everything was built on the Evergreen stateless architecture where within a box, right? We disaggregated the performance and capacity within the box already, 10 years ago within Evergreen. And that's what enabled us to build Pure as a service. That's why I say like when companies say they built a service, I'm like it's not a service if you have to do a data migration. You need a stateless architecture that's disaggregated. You can almost think of this as the anti hyper-converge, right? That's going the other way. It's hyper disaggregated. >> Right. >> And that foundation is true for our whole portfolio. That was fundamental, the Evergreen architecture. And then if Gold is modernizing a box and Flex is modernizing your fleet and your portfolio and Pure as a service is modernizing the labor, it is more of a continuation in the spectrum of how do you ensure you get better with age, right? And it's like one of those things when you think about a car. Miles driven on a car means your car's getting older and it doesn't necessarily get better with age, right? What's interesting when you think about the human body, yeah, you get older and some people deteriorate with age and some people it turns out for a period of time, you pick up some muscle mass, you get a little bit older, you get a little bit wiser and you get a little bit better with age for a while because you're putting in the work to modernize, right? But where in infrastructure and hardware and technology are you at the point where it always just gets better with age, right? We've introduced that concept 10 years ago. And we've now had proven industry success over a decade, right? As I mentioned, our first seven customers who've had a decade of Evergreen update started with an FA-300 way back when, and since then performance and capacity has been getting better over time with Evergreen Forever. So this is the next 10 years of it getting better and better for the company and not just tying it to the box because now we've grown up, we've got customers with like large fleets. I think one of our customers just hit 900 systems, right? >> Wow. >> So when you have 900 systems, right? And you're running a fleet you need to think about, okay, how am I using these resources? And in this day and age in that world, power becomes a big thing because if you're using resources inefficiently and the cost of power and energy is up, you're going to be in a world of hurt. So by using Flex where you can move the capacity to where it's needed, you're creating the most efficient operating environment, which is actually the lowest power consumption environment as well. >> Right. >> So we're really excited about this journey of modernizing, but that rebranding just became kind of a no brainer to us because it's all part of the spectrum on your journey of whether you're a single array customer, you're a fleet customer, or you don't want to even run, operate and manage. You can actually just say, you know what, give me the guarantee in the SLA. So that's the spectrum that informed the rebranding. >> Got it. Yeah, so to your point about the human body, all you got to do is look at Tom Brady's NFL combine videos and you'll see what a transformation. Fine wine is another one. I like the term hyper disaggregated because that to me is consistent with what's happening with the cloud and edge. We're building this hyper distributed or disaggregated system. So I want to just understand a little bit about you mentioned Purity so there's this software obviously is the enabler here, but what's under the covers? Is it like a virtualizer or megaload balancer, metadata manager, what's the tech behind this? >> Yeah, so we'll do a little bit of a double tech, right? So we have this concept of drives where in Purity, we build our own software for direct flash that takes the NAND and we do the NAND management as we're building our drives in Purity software. Now ,that advantage gives us the ability to say how should this drive behave? So in a FlashArray C system, it can behave as part of a FlashArray C and its usable capacity that you can write because the metadata and some of the system information is in NVRAM as part of the controller, right? So you have some metadata capability there. In a legend architecture for example, you have a distributed Blade architecture. So you need parts of that capacity to operate almost like a single layer chip where you can actually have metadata operations independent of your storage operations that operate like QLC. So we actually manage the NAND in a very very different way based on the persona of the system it's going into, right? So this capacity to make it usable, right? It's like saying a competitor could go ahead name it, Dell that has power max in Isilon, HPE that has single store and three power and nimble and like you name, like can you really from a technology standpoint say your capacity can be used anywhere or all these independent systems. Everyone's thinking about the world like a system, like here's this system, here's that system, here's that system. And your capacity is locked into a system. To be able to unlock that capacity to the system, you need to behave differently with the media type in the operating environment you're going into and that's what Purity does, right? So we are doing that as part of our direct Flex software around how we manage these drives to enable this. >> Well, it's the same thing in the cloud precaution, right? I mean, you got different APIs and primitive for object, for block, for file. Now, it's all programmable infrastructure so that makes it easier, but to the point, it's still somewhat stovepipe. So it's funny, it's good to see your commitment to Evergreen, I think you're right. You lay down the gauntlet a decade plus ago. First everybody ignored you and then they kind of laughed at you, then they criticized you, and then they said, oh, then you guys reached the escape velocity. So you had a winning hand. So I'm interested in that sort of progression over the past decade where you're going, why this is so important to your customers, where you're trying to get them ultimately. >> Well, look, the thing that's most disappointing is if I bought 100 terabytes still have to re-buy it every three or five years. That seems like a kind of ridiculous proposition, but welcome to storage. You know what I mean? That's what most people do with Evergreen. We want to end data migrations. We want to make sure that every software updates, hardware updates, non disruptive. We want to make it easy to deploy and run at scale for your fleet. And eventually we want everyone to move to our Evergreen one, formerly Pure as a service where we can run and operate and manage 'cause this is all about trust. We're trying to create trust with the customer to say, trust us, to run and operate and scale for you and worry about your business because we make tech easy. And like think about this hyper disaggregated if you go further. If you're going further with hyper disaggregated, you can think about it as like performance and capacity is your Lego building blocks. Now for anyone, I have a son, he wants to build a Lego Death Star. He didn't have that manual, he's toast. So when you move to at scale and you have this hyper disaggregated world and you have this unlimited freedom, you have unlimited choice. It's the problem of the cloud today, too much choice, right? There's like hundreds of instances of this, what do I even choose? >> Right. >> Well, so the only way to solve that problem and create simplicity when you have so much choice is put data to work. And that's where Pure one comes in because we've been collecting and we can scan your landscape and tell you, you should move these types of resources here and move those types of resources there, right? In the past, it was always about you should move this application there or you should move this application there. We're actually going to turn the entire industry on it's head. It's not like applications and data have gravity. So let's think about moving resources to where that are needed versus saying resources are a fixed asset, let's move the applications there. So that's a concept that's new to the industry. Like we're creating that concept, we're introducing that concept because now we have the technology to make that reality a new efficient way of running storage for the world. Like this is that big for the company. >> Well, I mean, a lot of the failures in data analytics and data strategies are a function of trying to jam everything into a single monolithic system and hyper centralize it. Data by its very nature is distributed. So hyper disaggregated fits that model and the pendulum's clearly swinging to that. Prakash, great to have you, purestorage.com I presume is where I can learn more? >> Oh, absolutely. We're super excited and our pent up by demand I think in this space is huge so we're looking forward to bringing this innovation to the world. >> All right, hey, thanks again. Great to see you, I appreciate you coming on and explaining this new model and good luck with it. >> All right, thank you. >> All right, and thanks for watching. This is David Vellante, and appreciate you watching this Cube conversation, we'll see you next time. (upbeat music)
SUMMARY :
is the general manager So this morning you guys capacity to where you need it. in the portfolio, like you So someone's going to ask you the capacity to where you and capacity across the the box, tell me how many IOPS you have capacity to where you need it. and the chalkboard discussion? if you have to do a data migration. and technology are you at the point So when you have 900 systems, right? So that's the spectrum that disaggregated because that to me and like you name, like can you really So you had a winning hand. and you have this hyper and create simplicity when you have and the pendulum's to bringing this innovation to the world. appreciate you coming on and appreciate you watching
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Matt Burr, Pure Storage
(Intro Music) >> Hello everyone and welcome to this special cube conversation with Matt Burr who is the general manager of FlashBlade at Pure Storage. Matt, how you doing? Good to see you. >> I'm doing great. Nice to see you again, Dave. >> Yeah. You know, welcome back. We're going to be broadcasting this is at accelerate. You guys get big news. Of course, FlashBlade S we're going to dig into it. The famous FlashBlade now has new letter attached to it. Tell us what it is, what it's all about. >> (laughing) >> You know, it's easy to say. It's just the latest and greatest version of the FlashBlade, but obviously it's a lot more than that. We've had a lot of success with FlashBlade kind of across the board in particular with Meta and their research super cluster, which is one of the largest AI super clusters in the world. But, it's not enough to just build on the thing that you had, right? So, with the FlashBlade S, we've increased modularity, we've done things like, building co-design software and hardware and leveraging that into something that increases, or it actually doubles density, performance, power efficiency. On top of that, you can scale independently, storage, networking, and compute, which is pretty big deal because it gives you more flexibility, gives you a little more granularity around performance or capacity, depending on which direction you want to go. And we believe that, kind of the end of this is fundamentally the, I guess, the way to put it is sort of the highest performance and capacity optimization, unstructured data platform on the market today without the need for, kind of, an expensive data tier of cash or expected data cash and tier. So we're pretty excited about, what we've ended up with here. >> Yeah. So I think sometimes people forget, about how much core engineering Meta does. Facebook, you go on Facebook and play around and post things, but yeah, their backend cloud is just amazing. So talk a little bit more about the problem targets for FlashBlade. I mean, it's pretty wide scope and we're going to get into that, but what's the core of that. >> Yeah. We've talked about that extensively in the past, the use cases kind of generally remain the same. I know, we'll probably explore this a little bit more deeply, but you know, really what we're talking about here is performance and scalability. We have written essentially an unlimited Metadata software level, which gives us the ability to expand, we're already starting to think about computing an exabyte scale. Okay. So, the problem that the customer has of, Hey, I've got a Greenfield, object environment, or I've got a file environment and my 10 K and 7,500 RPM disc is just spiraling out of control in my environment. It's an environmental problem. It's a management problem, we have effectively, simplified the process of bringing together highly performant, very large multi petabyte to eventually exabyte scale unstructured data systems. >> So people are obviously trying to inject machine intelligence, AI, ML into applications, bring data into applications, bringing those worlds closer together. Analytics is obviously exploding. You see some other things happening in the news, read somewhere, protection and the like, where does FlashBlade fit in terms of FlashBlade S in some terms of some of these new use cases. >> All those things, we're only going wider and broader. So, we've talked in the past about having a having a horizontal approach to this market. The unstructured data market has often had vertical specificity. You could see successful infrastructure companies in oil and gas that may not play median entertainment, where you see, successful companies that play in media entertainment, but don't play well in financial services, for example. We're sort of playing the long game here with this and we're focused on, bringing an all Q L C architecture that combines our traditional kind of pure DFM with the software that is, now I guess seven years hardened from the original FlashBlade system. And so, when we look at customers and we look at kind of customers in three categories, right, we have customers that sort of fit into a very traditional, more than three, but kind of make bucketized this way, customers that fit into kind of this EDA HPC space, then you have that sort of data protection, which I believe kind of ransomware falls under that as well. The world has changed, right? So customers want their data back faster. Rapid restore is a real thing, right? We have customers that come to us and say, anybody can back up my data, but if I want to get something back fast and I mean in less than a week or a couple days, what do I do? So we can solve that problem. And then as you sort of accurately pointed out where you started, there is the AI ML side of things where the Invidia relationship that we have, right. DGX is are a pretty powerful weapon in that market and solving those problems. But they're not cheap. And keeping those DGX's running all the time requires an extremely efficient underpinning of a flash system. And we believe we have that market as well. >> It's interesting when pure was first coming out as a startup, you obviously had some cool new tech, but you know, your stack wasn't as hard. And now you've got seven years under your belt. The last time you were on the cube, we talked about some of the things that you guys were doing differently. We talked about UFFO, unified fast file and object. How does this new product, FlashBlade S, compare to some previous generations of FlashBlade in terms of solving unstructured data and some of these other trends that we've been talking about? >> Yeah. I touched on this a little bit earlier, but I want to go a little bit deeper on this concept of modularity. So for those that are familiar with Pure Storage, we have what's called the evergreen storage program. It's not as much a program as it is an engineering philosophy. The belief that everything we build should be modular in nature so that we can have essentially a chassi that has an a 100% modular components inside of it. Such that we can upgrade all of those features, non disruptively from one version to the next, you should think about that as you know, if you have an iPhone, when you go get a new iPhone, what do you do with your old iPhone? You either throw it away or you sell it. Well, imagine if your iPhone just got newer and better each time you renewed your, whatever it is, two year or three year subscription with apple. That's effectively what we have as a core philosophy, core operating engineering philosophy within pure. That is now a completely full and robust program with this instantiation of the FlashBlade S. And so kind of what that means is, for a customer I'm future proofed for X number of years, knowing that we have a run rate of being able to keep customers on the flash array side from the FA 400 all the way through the flash array X and Excel, which is about a 10 year time span. So, that then, and of itself sort of starts to play into customers that have concerns around ESG. Right? Last time I checked power space and cooling, still mattered in data center. So although I have people that tell me all the time, power space clearly doesn't matter anymore, but I know at the end of the day, most customers seem to say that it does, you're not throwing away refrigerator size pieces of equipment that once held spinning disc, something that's a size of a microwave that's populated with DFMs with all LC flash that you can actually upgrade over time. So if you want to scale more performance, we can do that through adding CPU. If you want to scale more capacity, we can do that through adding more And we're in control of those parameters because we're building our own DFM, our direct fabric modules on our own storage notes, if you will. So instead of relying on the consumer packaging of an SSD, we're upgrading our own stuff and growing it as we can. So again, on the ESG side, I think for many customers going into the next decade, it's going to be a huge deal. >> Yeah. Interesting comments, Matt. I mean, I don't know if you guys invented it, but you certainly popularize the idea of, no Fort lift upgrades and sort of set the industry on its head when you guys really drove that evergreen strategy and kind of on that note, you guys talk about simplicity. I remember last accelerate went deep with cause on your philosophy of keeping things simple, keeping things uncomplicated, you guys talk about using better science to do that. And you a lot of talk these days about outcomes. How does FlashBlade S support those claims and what do you guys mean by better science? >> Yeah. You know, better science is kind of a funny term. It was an internal term that I was on a sales call actually. And the customer said, well, I understand the difference between these two, but could you tell me how we got there and I was a little stumped on the answer. And I just said, well, I think we have better scientists and that kind of morphed into better science, a good example of that is our Metadata architecture, right? So our scalable Metadata allows us to avoid having that cashing tier, that other architectures have to rely on in order to anticipate, which files are going to need to be in read cash and read misses become very expensive. Now, a good follow up question there, not to do your job, but it's the question that I always get is, well, when you're designing your own hardware and your own software, what's the real material advantage of that? Well, the real material advantage of that is that you are in control of the combination and the interaction of those two things you don't give up the sort of the general purpose nature, if you will, of the performance characteristics that come along with things like commodity, you get a very specific performance profile. That's tailored to the software that's being married to it. Now in some instances you could say, well, okay, does that really matter? Well, when you start to talking about 20, 40, 50, 100, 500, petabyte data sets, every percentage matters. And so those individual percentages equate to space savings. They equate to power and cooling savings. We believe that we're going to have industry best dollars per lot. We're going to have industry best, kind of dollar PRU. So really the whole kind of game here is a round scale. >> Yeah. I mean, look, there's clearly places for the pure software defined. And then when cloud first came out, everybody said, oh, build the cloud and commodity, they don't build custom art. Now you see all the hyper scalers building custom software, custom hardware and software integration, custom Silicon. So co-innovation between hardware and software. It seems pretty as important, if not more important than ever, especially for some of these new workloads who knows what the edge is going to bring. What's the downside of not having that philosophy in your view? Is it just, you can't scale to the degree that you want, you can't support the new workloads or performance? What should customers be thinking about there? >> I think the downside plays in two ways. First is kind of the future and at scale, as I alluded to earlier around cost and just savings over time. Right? So if you're using a you know a commodity SSD, there's packaging around that SSD that is wasteful both in terms of- It's wasteful in the environmental sense and wasteful in the sort of computing performance sense. So that's kind of one thing. On the second side, it's easier for us to control the controllables around reliability when you can eliminate the number of things that actually sit in that workflow and by workflow, I mean when a right is acknowledged from a host and it gets down to the media, the more control you have over that, the more reliability you have over that piece. >> Yeah. I know. And we talked about ESG earlier. I know you guys, I'm going to talk a little bit about more news from accelerate within Invidia. You've certainly heard Jensen talk about the wasted CPU cycles in the data center. I think he's forecasted, 25 to 30% of the cycles are wasted on doing things like storage offload, or certainly networking and security. So now it sort of confirms your ESG thought, we can do things more efficiently, but as it relates to Invidia and some of the news around AIRI's, what is the AI RI? What's that stand for? What's the high level overview of AIRI. >> So the AIRI has been really successful for both us and Invidia. It's a really great partnership we're appreciative of the partnership. In fact, Tony pack day will be speaking here at accelerate. So, really looking forward to that, Look, there's a couple ways to look at this and I take the macro view on this. I know that there's a equally as good of a micro example, but I think the macro is really kind of where it's at. We don't have data center space anymore, right? There's only so many data centers we can build. There's only so much power we can create. We are going to reach a point in time where municipalities are going to struggle against the businesses that are in their municipalities for power. And now you're essentially bidding big corporations against people who have an electric bill. And that's only going to last so long, you know who doesn't win in that? The big corporation doesn't win in that. Because elected officials will have to find a way to serve the people so that they can get power. No matter how skewed we think that may be. That is the reality. And so, as we look at this transition, that first decade of disc to flash transition was really in the block world. The second decade, which it's really fortunate to have a multi decade company, of course. But the second decade of riding that wave from disk to flash is about improving space, power, efficiency, and density. And we sort of reach that, it's a long way of getting to the point about iMedia where these AI clusters are extremely powerful things. And they're only going to get bigger, right? They're not going to get smaller. It's not like anybody out there saying, oh, it's a Thad, or, this isn't going to be something that's going to yield any results or outcomes. They yield tremendous outcomes in healthcare. They yield tremendous outcomes in financial services. They use tremendous outcome in cancer research, right? These are not things that we as a society are going to give up. And in fact, we're going to want to invest more on them, but they come at a cost and one of the resources that is required is power. And so when you look at what we've done in particular with Invidia. You found something that is extremely power efficient that meets the needs of kind of going back to that macro view of both the community and the business. It's a win-win. >> You know and you're right. It's not going to get smaller. It's just going to continue to in momentum, but it could get increasingly distributed. And you think about, I talked about the edge earlier. You think about AI inferencing at the edge. I think about Bitcoin mining, it's very distributed, but it consumes a lot of power and so we're not exactly sure what the next level architecture is, but we do know that science is going to be behind it. Talk a little bit more about your Invidia relationship, because I think you guys were the first, I might be wrong about this, but I think you were the first storage company to announce a partnership with Invidia several years ago, probably four years ago. How is this new solution with a AIRI slash S building on that partnership? What can we expect with Invidia going forward? >> Yeah. I think what you can expect to see is putting the foot on the gas on kind of where we've been with Invidia. So, as I mentioned earlier Meta is by some measurements, the world's largest research super cluster, they're a huge Invidia customer and built on pure infrastructure. So we see kind of those types of well reference architectures, not that everyone's going to have a Meta scale reference architecture, but the base principles of what they're solving for are the base principles of what we're going to begin to see in the enterprise. I know that begin sounds like a strange word because there's already a big business in DGX. There's already a sizable business in performance, unstructured data. But those are only going to get exponentially bigger from here. So kind of what we see is a deepening and a strengthening of the of the relationship and opportunity for us to talk, jointly to customers that are going to be building these big facilities and big data centers for these types of compute related problems and talking about efficiency, right? DGX are much more efficient and Flash Blades are much more efficient. It's a great pairing. >> Yeah. I mean you're definitely, a lot of AI today is modeling in the cloud, seeing HPC and data just slam together all kinds of new use cases. And these types of partnerships are the only way that we're going to solve the future problems and go after these future opportunities. I'll give you a last word you got to be excited with accelerate, what should people be looking for, add accelerate and beyond. >> You know, look, I am really excited. This is going on my 12th year at Pure Storage, which has to be seven or eight accelerates whenever we started this thing. So it's a great time of the year, maybe take a couple off because of because of COVID, but I love reconnecting in particular with partners and customers and just hearing kind of what they have to say. And this is kind of a nice one. This is four years or five years worth of work for my team who candidly I'm extremely proud of for choosing to take on some of the solutions that they, or excuse me, some of the problems that they chose to take on and find solutions for. So as accelerate roles around, I think we have some pretty interesting evolutions of the evergreen program coming to be announced. We have some exciting announcements in the other product arenas as well, but the big one for this event is FlashBlade. And I think that we will see. Look, no one's going to completely control this transition from disc to flash, right? That's a that's a macro trend. But there are these points in time where individual companies can sort of accelerate the pace at which it's happening. And that happens through cost, it happens through performance. My personal belief is this will be one of the largest points of those types of acceleration in this transformation from disc to flash and unstructured data. This is such a leap. This is essentially the equivalent of us going from the 400 series on the block side to the X, for those that you're familiar with the flash array lines. So it's a huge, huge leap for us. I think it's a huge leap for the market. And look, I think you should be proud of the company you work for. And I am immensely proud of what we've created here. And I think one of the things that is a good joy in life is to be able to talk to customers about things you care about. I've always told people my whole life, inefficiency is the bane of my existence. And I think we've rooted out ton of inefficiency with this product and looking forward to going and reclaiming a bunch of data center space and power without sacrificing any performance. >> Well congratulations on making it into the second decade. And I'm looking forward to the orange and the third decade, Matt Burr, thanks so much for coming back in the cubes. It's good to see you. >> Thanks, Dave. Nice to see you as well. We appreciate it. >> All right. And thank you for watching. This is Dave Vellante for the Cube. And we'll see you next time. (outro music)
SUMMARY :
Good to see you. to see you again, Dave. We're going to be broadcasting kind of the end of this the problem targets for FlashBlade. in the past, the use cases kind of happening in the news, We have customers that come to us and say, that you guys were doing differently. that tell me all the time, and kind of on that note, the general purpose nature, if you will, to the degree that you want, First is kind of the future and at scale, and some of the news around AIRI's, that meets the needs of I talked about the edge earlier. of the of the relationship are the only way that we're going to solve of the company you work for. and the third decade, Nice to see you as well. This is Dave Vellante for the Cube.
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Power Panel: Does Hardware Still Matter
(upbeat music) >> The ascendancy of cloud and SAS has shown new light on how organizations think about, pay for, and value hardware. Once sought after skills for practitioners with expertise in hardware troubleshooting, configuring ports, tuning storage arrays, and maximizing server utilization has been superseded by demand for cloud architects, DevOps pros, developers with expertise in microservices, container, application development, and like. Even a company like Dell, the largest hardware company in enterprise tech touts that it has more software engineers than those working in hardware. Begs the question, is hardware going the way of Coball? Well, not likely. Software has to run on something, but the labor needed to deploy, and troubleshoot, and manage hardware infrastructure is shifting. At the same time, we've seen the value flow also shifting in hardware. Once a world dominated by X86 processors value is flowing to alternatives like Nvidia and arm based designs. Moreover, other componentry like NICs, accelerators, and storage controllers are becoming more advanced, integrated, and increasingly important. The question is, does it matter? And if so, why does it matter and to whom? What does it mean to customers, workloads, OEMs, and the broader society? Hello and welcome to this week's Wikibon theCUBE Insights powered by ETR. In this breaking analysis, we've organized a special power panel of industry analysts and experts to address the question, does hardware still matter? Allow me to introduce the panel. Bob O'Donnell is president and chief analyst at TECHnalysis Research. Zeus Kerravala is the founder and principal analyst at ZK Research. David Nicholson is a CTO and tech expert. Keith Townson is CEO and founder of CTO Advisor. And Marc Staimer is the chief dragon slayer at Dragon Slayer Consulting and oftentimes a Wikibon contributor. Guys, welcome to theCUBE. Thanks so much for spending some time here. >> Good to be here. >> Thanks. >> Thanks for having us. >> Okay before we get into it, I just want to bring up some data from ETR. This is a survey that ETR does every quarter. It's a survey of about 1200 to 1500 CIOs and IT buyers and I'm showing a subset of the taxonomy here. This XY axis and the vertical axis is something called net score. That's a measure of spending momentum. It's essentially the percentage of customers that are spending more on a particular area than those spending less. You subtract the lesses from the mores and you get a net score. Anything the horizontal axis is pervasion in the data set. Sometimes they call it market share. It's not like IDC market share. It's just the percentage of activity in the data set as a percentage of the total. That red 40% line, anything over that is considered highly elevated. And for the past, I don't know, eight to 12 quarters, the big four have been AI and machine learning, containers, RPA and cloud and cloud of course is very impressive because not only is it elevated in the vertical access, but you know it's very highly pervasive on the horizontal. So what I've done is highlighted in red that historical hardware sector. The server, the storage, the networking, and even PCs despite the work from home are depressed in relative terms. And of course, data center collocation services. Okay so you're seeing obviously hardware is not... People don't have the spending momentum today that they used to. They've got other priorities, et cetera, but I want to start and go kind of around the horn with each of you, what is the number one trend that each of you sees in hardware and why does it matter? Bob O'Donnell, can you please start us off? >> Sure Dave, so look, I mean, hardware is incredibly important and one comment first I'll make on that slide is let's not forget that hardware, even though it may not be growing, the amount of money spent on hardware continues to be very, very high. It's just a little bit more stable. It's not as subject to big jumps as we see certainly in other software areas. But look, the important thing that's happening in hardware is the diversification of the types of chip architectures we're seeing and how and where they're being deployed, right? You refer to this in your opening. We've moved from a world of x86 CPUs from Intel and AMD to things like obviously GPUs, DPUs. We've got VPU for, you know, computer vision processing. We've got AI-dedicated accelerators, we've got all kinds of other network acceleration tools and AI-powered tools. There's an incredible diversification of these chip architectures and that's been happening for a while but now we're seeing them more widely deployed and it's being done that way because workloads are evolving. The kinds of workloads that we're seeing in some of these software areas require different types of compute engines than traditionally we've had. The other thing is (coughs), excuse me, the power requirements based on where geographically that compute happens is also evolving. This whole notion of the edge, which I'm sure we'll get into a little bit more detail later is driven by the fact that where the compute actually sits closer to in theory the edge and where edge devices are, depending on your definition, changes the power requirements. It changes the kind of connectivity that connects the applications to those edge devices and those applications. So all of those things are being impacted by this growing diversity in chip architectures. And that's a very long-term trend that I think we're going to continue to see play out through this decade and well into the 2030s as well. >> Excellent, great, great points. Thank you, Bob. Zeus up next, please. >> Yeah, and I think the other thing when you look at this chart to remember too is, you know, through the pandemic and the work from home period a lot of companies did put their office modernization projects on hold and you heard that echoed, you know, from really all the network manufacturers anyways. They always had projects underway to upgrade networks. They put 'em on hold. Now that people are starting to come back to the office, they're looking at that now. So we might see some change there, but Bob's right. The size of those market are quite a bit different. I think the other big trend here is the hardware companies, at least in the areas that I look at networking are understanding now that it's a combination of hardware and software and silicon that works together that creates that optimum type of performance and experience, right? So some things are best done in silicon. Some like data forwarding and things like that. Historically when you look at the way network devices were built, you did everything in hardware. You configured in hardware, they did all the data for you, and did all the management. And that's been decoupled now. So more and more of the control element has been placed in software. A lot of the high-performance things, encryption, and as I mentioned, data forwarding, packet analysis, stuff like that is still done in hardware, but not everything is done in hardware. And so it's a combination of the two. I think, for the people that work with the equipment as well, there's been more shift to understanding how to work with software. And this is a mistake I think the industry made for a while is we had everybody convinced they had to become a programmer. It's really more a software power user. Can you pull things out of software? Can you through API calls and things like that. But I think the big frame here is, David, it's a combination of hardware, software working together that really make a difference. And you know how much you invest in hardware versus software kind of depends on the performance requirements you have. And I'll talk about that later but that's really the big shift that's happened here. It's the vendors that figured out how to optimize performance by leveraging the best of all of those. >> Excellent. You guys both brought up some really good themes that we can tap into Dave Nicholson, please. >> Yeah, so just kind of picking up where Bob started off. Not only are we seeing the rise of a variety of CPU designs, but I think increasingly the connectivity that's involved from a hardware perspective, from a kind of a server or service design perspective has become increasingly important. I think we'll get a chance to look at this in more depth a little bit later but when you look at what happens on the motherboard, you know we're not in so much a CPU-centric world anymore. Various application environments have various demands and you can meet them by using a variety of components. And it's extremely significant when you start looking down at the component level. It's really important that you optimize around those components. So I guess my summary would be, I think we are moving out of the CPU-centric hardware model into more of a connectivity-centric model. We can talk more about that later. >> Yeah, great. And thank you, David, and Keith Townsend I really interested in your perspectives on this. I mean, for years you worked in a data center surrounded by hardware. Now that we have the software defined data center, please chime in here. >> Well, you know, I'm going to dig deeper into that software-defined data center nature of what's happening with hardware. Hardware is meeting software infrastructure as code is a thing. What does that code look like? We're still trying to figure out but servicing up these capabilities that the previous analysts have brought up, how do I ensure that I can get the level of services needed for the applications that I need? Whether they're legacy, traditional data center, workloads, AI ML, workloads, workloads at the edge. How do I codify that and consume that as a service? And hardware vendors are figuring this out. HPE, the big push into GreenLake as a service. Dale now with Apex taking what we need, these bare bone components, moving it forward with DDR five, six CXL, et cetera, and surfacing that as cold or as services. This is a very tough problem. As we transition from consuming a hardware-based configuration to this infrastructure as cold paradigm shift. >> Yeah, programmable infrastructure, really attacking that sort of labor discussion that we were having earlier, okay. Last but not least Marc Staimer, please. >> Thanks, Dave. My peers raised really good points. I agree with most of them, but I'm going to disagree with the title of this session, which is, does hardware matter? It absolutely matters. You can't run software on the air. You can't run it in an ephemeral cloud, although there's the technical cloud and that's a different issue. The cloud is kind of changed everything. And from a market perspective in the 40 plus years I've been in this business, I've seen this perception that hardware has to go down in price every year. And part of that was driven by Moore's law. And we're coming to, let's say a lag or an end, depending on who you talk to Moore's law. So we're not doubling our transistors every 18 to 24 months in a chip and as a result of that, there's been a higher emphasis on software. From a market perception, there's no penalty. They don't put the same pressure on software from the market to reduce the cost every year that they do on hardware, which kind of bass ackwards when you think about it. Hardware costs are fixed. Software costs tend to be very low. It's kind of a weird thing that we do in the market. And what's changing is we're now starting to treat hardware like software from an OPEX versus CapEx perspective. So yes, hardware matters. And we'll talk about that more in length. >> You know, I want to follow up on that. And I wonder if you guys have a thought on this, Bob O'Donnell, you and I have talked about this a little bit. Marc, you just pointed out that Moore's laws could have waning. Pat Gelsinger recently at their investor meeting said that he promised that Moore's law is alive and well. And the point I made in breaking analysis was okay, great. You know, Pat said, doubling transistors every 18 to 24 months, let's say that Intel can do that. Even though we know it's waning somewhat. Look at the M1 Ultra from Apple (chuckles). In about 15 months increased transistor density on their package by 6X. So to your earlier point, Bob, we have this sort of these alternative processors that are really changing things. And to Dave Nicholson's point, there's a whole lot of supporting components as well. Do you have a comment on that, Bob? >> Yeah, I mean, it's a great point, Dave. And one thing to bear in mind as well, not only are we seeing a diversity of these different chip architectures and different types of components as a number of us have raised the other big point and I think it was Keith that mentioned it. CXL and interconnect on the chip itself is dramatically changing it. And a lot of the more interesting advances that are going to continue to drive Moore's law forward in terms of the way we think about performance, if perhaps not number of transistors per se, is the interconnects that become available. You're seeing the development of chiplets or tiles, people use different names, but the idea is you can have different components being put together eventually in sort of a Lego block style. And what that's also going to allow, not only is that going to give interesting performance possibilities 'cause of the faster interconnect. So you can share, have shared memory between things which for big workloads like AI, huge data sets can make a huge difference in terms of how you talk to memory over a network connection, for example, but not only that you're going to see more diversity in the types of solutions that can be built. So we're going to see even more choices in hardware from a silicon perspective because you'll be able to piece together different elements. And oh, by the way, the other benefit of that is we've reached a point in chip architectures where not everything benefits from being smaller. We've been so focused and so obsessed when it comes to Moore's law, to the size of each individual transistor and yes, for certain architecture types, CPUs and GPUs in particular, that's absolutely true, but we've already hit the point where things like RF for 5g and wifi and other wireless technologies and a whole bunch of other things actually don't get any better with a smaller transistor size. They actually get worse. So the beauty of these chiplet architectures is you could actually combine different chip manufacturing sizes. You know you hear about four nanometer and five nanometer along with 14 nanometer on a single chip, each one optimized for its specific application yet together, they can give you the best of all worlds. And so we're just at the very beginning of that era, which I think is going to drive a ton of innovation. Again, gets back to my comment about different types of devices located geographically different places at the edge, in the data center, you know, in a private cloud versus a public cloud. All of those things are going to be impacted and there'll be a lot more options because of this silicon diversity and this interconnect diversity that we're just starting to see. >> Yeah, David. David Nicholson's got a graphic on that. They're going to show later. Before we do that, I want to introduce some data. I actually want to ask Keith to comment on this before we, you know, go on. This next slide is some data from ETR that shows the percent of customers that cited difficulty procuring hardware. And you can see the red is they had significant issues and it's most pronounced in laptops and networking hardware on the far right-hand side, but virtually all categories, firewalls, peripheral servers, storage are having moderately difficult procurement issues. That's the sort of pinkish or significant challenges. So Keith, I mean, what are you seeing with your customers in the hardware supply chains and bottlenecks? And you know we're seeing it with automobiles and appliances but so it goes beyond IT. The semiconductor, you know, challenges. What's been the impact on the buyer community and society and do you have any sense as to when it will subside? >> You know, I was just asked this question yesterday and I'm feeling the pain. People question, kind of a side project within the CTO advisor, we built a hybrid infrastructure, traditional IT data center that we're walking with the traditional customer and modernizing that data center. So it was, you know, kind of a snapshot of time in 2016, 2017, 10 gigabit, ARISTA switches, some older Dell's 730 XD switches, you know, speeds and feeds. And we said we would modern that with the latest Intel stack and connected to the public cloud and then the pandemic hit and we are experiencing a lot of the same challenges. I thought we'd easily migrate from 10 gig networking to 25 gig networking path that customers are going on. The 10 gig network switches that I bought used are now double the price because you can't get legacy 10 gig network switches because all of the manufacturers are focusing on the more profitable 25 gig for capacity, even the 25 gig switches. And we're focused on networking right now. It's hard to procure. We're talking about nine to 12 months or more lead time. So we're seeing customers adjust by adopting cloud. But if you remember early on in the pandemic, Microsoft Azure kind of gated customers that didn't have a capacity agreement. So customers are keeping an eye on that. There's a desire to abstract away from the underlying vendor to be able to control or provision your IT services in a way that we do with VMware VP or some other virtualization technology where it doesn't matter who can get me the hardware, they can just get me the hardware because it's critically impacting projects and timelines. >> So that's a great setup Zeus for you with Keith mentioned the earlier the software-defined data center with software-defined networking and cloud. Do you see a day where networking hardware is monetized and it's all about the software, or are we there already? >> No, we're not there already. And I don't see that really happening any time in the near future. I do think it's changed though. And just to be clear, I mean, when you look at that data, this is saying customers have had problems procuring the equipment, right? And there's not a network vendor out there. I've talked to Norman Rice at Extreme, and I've talked to the folks at Cisco and ARISTA about this. They all said they could have had blowout quarters had they had the inventory to ship. So it's not like customers aren't buying this anymore. Right? I do think though, when it comes to networking network has certainly changed some because there's a lot more controls as I mentioned before that you can do in software. And I think the customers need to start thinking about the types of hardware they buy and you know, where they're going to use it and, you know, what its purpose is. Because I've talked to customers that have tried to run software and commodity hardware and where the performance requirements are very high and it's bogged down, right? It just doesn't have the horsepower to run it. And, you know, even when you do that, you have to start thinking of the components you use. The NICs you buy. And I've talked to customers that have simply just gone through the process replacing a NIC card and a commodity box and had some performance problems and, you know, things like that. So if agility is more important than performance, then by all means try running software on commodity hardware. I think that works in some cases. If performance though is more important, that's when you need that kind of turnkey hardware system. And I've actually seen more and more customers reverting back to that model. In fact, when you talk to even some startups I think today about when they come to market, they're delivering things more on appliances because that's what customers want. And so there's this kind of app pivot this pendulum of agility and performance. And if performance absolutely matters, that's when you do need to buy these kind of turnkey, prebuilt hardware systems. If agility matters more, that's when you can go more to software, but the underlying hardware still does matter. So I think, you know, will we ever have a day where you can just run it on whatever hardware? Maybe but I'll long be retired by that point. So I don't care. >> Well, you bring up a good point Zeus. And I remember the early days of cloud, the narrative was, oh, the cloud vendors. They don't use EMC storage, they just run on commodity storage. And then of course, low and behold, you know, they've trot out James Hamilton to talk about all the custom hardware that they were building. And you saw Google and Microsoft follow suit. >> Well, (indistinct) been falling for this forever. Right? And I mean, all the way back to the turn of the century, we were calling for the commodity of hardware. And it's never really happened because you can still drive. As long as you can drive innovation into it, customers will always lean towards the innovation cycles 'cause they get more features faster and things. And so the vendors have done a good job of keeping that cycle up but it'll be a long time before. >> Yeah, and that's why you see companies like Pure Storage. A storage company has 69% gross margins. All right. I want to go jump ahead. We're going to bring up the slide four. I want to go back to something that Bob O'Donnell was talking about, the sort of supporting act. The diversity of silicon and we've marched to the cadence of Moore's law for decades. You know, we asked, you know, is Moore's law dead? We say it's moderating. Dave Nicholson. You want to talk about those supporting components. And you shared with us a slide that shift. You call it a shift from a processor-centric world to a connect-centric world. What do you mean by that? And let's bring up slide four and you can talk to that. >> Yeah, yeah. So first, I want to echo this sentiment that the question does hardware matter is sort of the answer is of course it matters. Maybe the real question should be, should you care about it? And the answer to that is it depends who you are. If you're an end user using an application on your mobile device, maybe you don't care how the architecture is put together. You just care that the service is delivered but as you back away from that and you get closer and closer to the source, someone needs to care about the hardware and it should matter. Why? Because essentially what hardware is doing is it's consuming electricity and dollars and the more efficiently you can configure hardware, the more bang you're going to get for your buck. So it's not only a quantitative question in terms of how much can you deliver? But it also ends up being a qualitative change as capabilities allow for things we couldn't do before, because we just didn't have the aggregate horsepower to do it. So this chart actually comes out of some performance tests that were done. So it happens to be Dell servers with Broadcom components. And the point here was to peel back, you know, peel off the top of the server and look at what's in that server, starting with, you know, the PCI interconnect. So PCIE gen three, gen four, moving forward. What are the effects on from an interconnect versus on performance application performance, translating into new orders per minute, processed per dollar, et cetera, et cetera? If you look at the advances in CPU architecture mapped against the advances in interconnect and storage subsystem performance, you can see that CPU architecture is sort of lagging behind in a way. And Bob mentioned this idea of tiling and all of the different ways to get around that. When we do performance testing, we can actually peg CPUs, just running the performance tests without any actual database environments working. So right now we're at this sort of imbalance point where you have to make sure you design things properly to get the most bang per kilowatt hour of power per dollar input. So the key thing here what this is highlighting is just as a very specific example, you take a card that's designed as a gen three PCIE device, and you plug it into a gen four slot. Now the card is the bottleneck. You plug a gen four card into a gen four slot. Now the gen four slot is the bottleneck. So we're constantly chasing these bottlenecks. Someone has to be focused on that from an architectural perspective, it's critically important. So there's no question that it matters. But of course, various people in this food chain won't care where it comes from. I guess a good analogy might be, where does our food come from? If I get a steak, it's a pink thing wrapped in plastic, right? Well, there are a lot of inputs that a lot of people have to care about to get that to me. Do I care about all of those things? No. Are they important? They're critically important. >> So, okay. So all I want to get to the, okay. So what does this all mean to customers? And so what I'm hearing from you is to balance a system it's becoming, you know, more complicated. And I kind of been waiting for this day for a long time, because as we all know the bottleneck was always the spinning disc, the last mechanical. So people who wrote software knew that when they were doing it right, the disc had to go and do stuff. And so they were doing other things in the software. And now with all these new interconnects and flash and things like you could do atomic rights. And so that opens up new software possibilities and combine that with alternative processes. But what's the so what on this to the customer and the application impact? Can anybody address that? >> Yeah, let me address that for a moment. I want to leverage some of the things that Bob said, Keith said, Zeus said, and David said, yeah. So I'm a bit of a contrarian in some of this. For example, on the chip side. As the chips get smaller, 14 nanometer, 10 nanometer, five nanometer, soon three nanometer, we talk about more cores, but the biggest problem on the chip is the interconnect from the chip 'cause the wires get smaller. People don't realize in 2004 the latency on those wires in the chips was 80 picoseconds. Today it's 1300 picoseconds. That's on the chip. This is why they're not getting faster. So we maybe getting a little bit slowing down in Moore's law. But even as we kind of conquer that you still have the interconnect problem and the interconnect problem goes beyond the chip. It goes within the system, composable architectures. It goes to the point where Keith made, ultimately you need a hybrid because what we're seeing, what I'm seeing and I'm talking to customers, the biggest issue they have is moving data. Whether it be in a chip, in a system, in a data center, between data centers, moving data is now the biggest gating item in performance. So if you want to move it from, let's say your transactional database to your machine learning, it's the bottleneck, it's moving the data. And so when you look at it from a distributed environment, now you've got to move the compute to the data. The only way to get around these bottlenecks today is to spend less time in trying to move the data and more time in taking the compute, the software, running on hardware closer to the data. Go ahead. >> So is this what you mean when Nicholson was talking about a shift from a processor centric world to a connectivity centric world? You're talking about moving the bits across all the different components, not having the processor you're saying is essentially becoming the bottleneck or the memory, I guess. >> Well, that's one of them and there's a lot of different bottlenecks, but it's the data movement itself. It's moving away from, wait, why do we need to move the data? Can we move the compute, the processing closer to the data? Because if we keep them separate and this has been a trend now where people are moving processing away from it. It's like the edge. I think it was Zeus or David. You were talking about the edge earlier. As you look at the edge, who defines the edge, right? Is the edge a closet or is it a sensor? If it's a sensor, how do you do AI at the edge? When you don't have enough power, you don't have enough computable. People were inventing chips to do that. To do all that at the edge, to do AI within the sensor, instead of moving the data to a data center or a cloud to do the processing. Because the lag in latency is always limited by speed of light. How fast can you move the electrons? And all this interconnecting, all the processing, and all the improvement we're seeing in the PCIE bus from three, to four, to five, to CXL, to a higher bandwidth on the network. And that's all great but none of that deals with the speed of light latency. And that's an-- Go ahead. >> You know Marc, no, I just want to just because what you're referring to could be looked at at a macro level, which I think is what you're describing. You can also look at it at a more micro level from a systems design perspective, right? I'm going to be the resident knuckle dragging hardware guy on the panel today. But it's exactly right. You moving compute closer to data includes concepts like peripheral cards that have built in intelligence, right? So again, in some of this testing that I'm referring to, we saw dramatic improvements when you basically took the horsepower instead of using the CPU horsepower for the like IO. Now you have essentially offload engines in the form of storage controllers, rate controllers, of course, for ethernet NICs, smart NICs. And so when you can have these sort of offload engines and we've gone through these waves over time. People think, well, wait a minute, raid controller and NVMe? You know, flash storage devices. Does that make sense? It turns out it does. Why? Because you're actually at a micro level doing exactly what you're referring to. You're bringing compute closer to the data. Now, closer to the data meaning closer to the data storage subsystem. It doesn't solve the macro issue that you're referring to but it is important. Again, going back to this idea of system design optimization, always chasing the bottleneck, plugging the holes. Someone needs to do that in this value chain in order to get the best value for every kilowatt hour of power and every dollar. >> Yeah. >> Well this whole drive performance has created some really interesting architectural designs, right? Like Nickelson, the rise of the DPU right? Brings more processing power into systems that already had a lot of processing power. There's also been some really interesting, you know, kind of innovation in the area of systems architecture too. If you look at the way Nvidia goes to market, their drive kit is a prebuilt piece of hardware, you know, optimized for self-driving cars, right? They partnered with Pure Storage and ARISTA to build that AI-ready infrastructure. I remember when I talked to Charlie Giancarlo, the CEO of Pure about when the three companies rolled that out. He said, "Look, if you're going to do AI, "you need good store. "You need fast storage, fast processor and fast network." And so for customers to be able to put that together themselves was very, very difficult. There's a lot of software that needs tuning as well. So the three companies partner together to create a fully integrated turnkey hardware system with a bunch of optimized software that runs on it. And so in that case, in some ways the hardware was leading the software innovation. And so, the variety of different architectures we have today around hardware has really exploded. And I think it, part of the what Bob brought up at the beginning about the different chip design. >> Yeah, Bob talked about that earlier. Bob, I mean, most AI today is modeling, you know, and a lot of that's done in the cloud and it looks from my standpoint anyway that the future is going to be a lot of AI inferencing at the edge. And that's a radically different architecture, Bob, isn't it? >> It is, it's a completely different architecture. And just to follow up on a couple points, excellent conversation guys. Dave talked about system architecture and really this that's what this boils down to, right? But it's looking at architecture at every level. I was talking about the individual different components the new interconnect methods. There's this new thing called UCIE universal connection. I forget what it stands answer for, but it's a mechanism for doing chiplet architectures, but then again, you have to take it up to the system level, 'cause it's all fine and good. If you have this SOC that's tuned and optimized, but it has to talk to the rest of the system. And that's where you see other issues. And you've seen things like CXL and other interconnect standards, you know, and nobody likes to talk about interconnect 'cause it's really wonky and really technical and not that sexy, but at the end of the day it's incredibly important exactly. To the other points that were being raised like mark raised, for example, about getting that compute closer to where the data is and that's where again, a diversity of chip architectures help and exactly to your last comment there Dave, putting that ability in an edge device is really at the cutting edge of what we're seeing on a semiconductor design and the ability to, for example, maybe it's an FPGA, maybe it's a dedicated AI chip. It's another kind of chip architecture that's being created to do that inferencing on the edge. Because again, it's that the cost and the challenges of moving lots of data, whether it be from say a smartphone to a cloud-based application or whether it be from a private network to a cloud or any other kinds of permutations we can think of really matters. And the other thing is we're tackling bigger problems. So architecturally, not even just architecturally within a system, but when we think about DPUs and the sort of the east west data center movement conversation that we hear Nvidia and others talk about, it's about combining multiple sets of these systems to function together more efficiently again with even bigger sets of data. So really is about tackling where the processing is needed, having the interconnect and the ability to get where the data you need to the right place at the right time. And because those needs are diversifying, we're just going to continue to see an explosion of different choices and options, which is going to make hardware even more essential I would argue than it is today. And so I think what we're going to see not only does hardware matter, it's going to matter even more in the future than it does now. >> Great, yeah. Great discussion, guys. I want to bring Keith back into the conversation here. Keith, if your main expertise in tech is provisioning LUNs, you probably you want to look for another job. So maybe clearly hardware matters, but with software defined everything, do people with hardware expertise matter outside of for instance, component manufacturers or cloud companies? I mean, VMware certainly changed the dynamic in servers. Dell just spun off its most profitable asset and VMware. So it obviously thinks hardware can stand alone. How does an enterprise architect view the shift to software defined hyperscale cloud and how do you see the shifting demand for skills in enterprise IT? >> So I love the question and I'll take a different view of it. If you're a data analyst and your primary value add is that you do ETL transformation, talk to a CDO, a chief data officer over midsize bank a little bit ago. He said 80% of his data scientists' time is done on ETL. Super not value ad. He wants his data scientists to do data science work. Chances are if your only value is that you do LUN provisioning, then you probably don't have a job now. The technologies have gotten much more intelligent. As infrastructure pros, we want to give infrastructure pros the opportunities to shine and I think the software defined nature and the automation that we're seeing vendors undertake, whether it's Dell, HP, Lenovo take your pick that Pure Storage, NetApp that are doing the automation and the ML needed so that these practitioners don't spend 80% of their time doing LUN provisioning and focusing on their true expertise, which is ensuring that data is stored. Data is retrievable, data's protected, et cetera. I think the shift is to focus on that part of the job that you're ensuring no matter where the data's at, because as my data is spread across the enterprise hybrid different types, you know, Dave, you talk about the super cloud a lot. If my data is in the super cloud, protecting that data and securing that data becomes much more complicated when than when it was me just procuring or provisioning LUNs. So when you say, where should the shift be, or look be, you know, focusing on the real value, which is making sure that customers can access data, can recover data, can get data at performance levels that they need within the price point. They need to get at those datasets and where they need it. We talked a lot about where they need out. One last point about this interconnecting. I have this vision and I think we all do of composable infrastructure. This idea that scaled out does not solve every problem. The cloud can give me infinite scale out. Sometimes I just need a single OS with 64 terabytes of RAM and 204 GPUs or GPU instances that single OS does not exist today. And the opportunity is to create composable infrastructure so that we solve a lot of these problems that just simply don't scale out. >> You know, wow. So many interesting points there. I had just interviewed Zhamak Dehghani, who's the founder of Data Mesh last week. And she made a really interesting point. She said, "Think about, we have separate stacks. "We have an application stack and we have "a data pipeline stack and the transaction systems, "the transaction database, we extract data from that," to your point, "We ETL it in, you know, it takes forever. "And then we have this separate sort of data stack." If we're going to inject more intelligence and data and AI into applications, those two stacks, her contention is they have to come together. And when you think about, you know, super cloud bringing compute to data, that was what Haduck was supposed to be. It ended up all sort of going into a central location, but it's almost a rhetorical question. I mean, it seems that that necessitates new thinking around hardware architectures as it kind of everything's the edge. And the other point is to your point, Keith, it's really hard to secure that. So when you can think about offloads, right, you've heard the stats, you know, Nvidia talks about it. Broadcom talks about it that, you know, that 30%, 25 to 30% of the CPU cycles are wasted on doing things like storage offloads, or networking or security. It seems like maybe Zeus you have a comment on this. It seems like new architectures need to come other to support, you know, all of that stuff that Keith and I just dispute. >> Yeah, and by the way, I do want to Keith, the question you just asked. Keith, it's the point I made at the beginning too about engineers do need to be more software-centric, right? They do need to have better software skills. In fact, I remember talking to Cisco about this last year when they surveyed their engineer base, only about a third of 'em had ever made an API call, which you know that that kind of shows this big skillset change, you know, that has to come. But on the point of architectures, I think the big change here is edge because it brings in distributed compute models. Historically, when you think about compute, even with multi-cloud, we never really had multi-cloud. We'd use multiple centralized clouds, but compute was always centralized, right? It was in a branch office, in a data center, in a cloud. With edge what we creates is the rise of distributed computing where we'll have an application that actually accesses different resources and at different edge locations. And I think Marc, you were talking about this, like the edge could be in your IoT device. It could be your campus edge. It could be cellular edge, it could be your car, right? And so we need to start thinkin' about how our applications interact with all those different parts of that edge ecosystem, you know, to create a single experience. The consumer apps, a lot of consumer apps largely works that way. If you think of like app like Uber, right? It pulls in information from all kinds of different edge application, edge services. And, you know, it creates pretty cool experience. We're just starting to get to that point in the business world now. There's a lot of security implications and things like that, but I do think it drives more architectural decisions to be made about how I deploy what data where and where I do my processing, where I do my AI and things like that. It actually makes the world more complicated. In some ways we can do so much more with it, but I think it does drive us more towards turnkey systems, at least initially in order to, you know, ensure performance and security. >> Right. Marc, I wanted to go to you. You had indicated to me that you wanted to chat about this a little bit. You've written quite a bit about the integration of hardware and software. You know, we've watched Oracle's move from, you know, buying Sun and then basically using that in a highly differentiated approach. Engineered systems. What's your take on all that? I know you also have some thoughts on the shift from CapEx to OPEX chime in on that. >> Sure. When you look at it, there are advantages to having one vendor who has the software and hardware. They can synergistically make them work together that you can't do in a commodity basis. If you own the software and somebody else has the hardware, I'll give you an example would be Oracle. As you talked about with their exit data platform, they literally are leveraging microcode in the Intel chips. And now in AMD chips and all the way down to Optane, they make basically AMD database servers work with Optane memory PMM in their storage systems, not MVME, SSD PMM. I'm talking about the cards itself. So there are advantages you can take advantage of if you own the stack, as you were putting out earlier, Dave, of both the software and the hardware. Okay, that's great. But on the other side of that, that tends to give you better performance, but it tends to cost a little more. On the commodity side it costs less but you get less performance. What Zeus had said earlier, it depends where you're running your application. How much performance do you need? What kind of performance do you need? One of the things about moving to the edge and I'll get to the OPEX CapEx in a second. One of the issues about moving to the edge is what kind of processing do you need? If you're running in a CCTV camera on top of a traffic light, how much power do you have? How much cooling do you have that you can run this? And more importantly, do you have to take the data you're getting and move it somewhere else and get processed and the information is sent back? I mean, there are companies out there like Brain Chip that have developed AI chips that can run on the sensor without a CPU. Without any additional memory. So, I mean, there's innovation going on to deal with this question of data movement. There's companies out there like Tachyon that are combining GPUs, CPUs, and DPUs in a single chip. Think of it as super composable architecture. They're looking at being able to do more in less. On the OPEX and CapEx issue. >> Hold that thought, hold that thought on the OPEX CapEx, 'cause we're running out of time and maybe you can wrap on that. I just wanted to pick up on something you said about the integrated hardware software. I mean, other than the fact that, you know, Michael Dell unlocked whatever $40 billion for himself and Silverlake, I was always a fan of a spin in with VMware basically become the Oracle of hardware. Now I know it would've been a nightmare for the ecosystem and culturally, they probably would've had a VMware brain drain, but what does anybody have any thoughts on that as a sort of a thought exercise? I was always a fan of that on paper. >> I got to eat a little crow. I did not like the Dale VMware acquisition for the industry in general. And I think it hurt the industry in general, HPE, Cisco walked away a little bit from that VMware relationship. But when I talked to customers, they loved it. You know, I got to be honest. They absolutely loved the integration. The VxRail, VxRack solution exploded. Nutanix became kind of a afterthought when it came to competing. So that spin in, when we talk about the ability to innovate and the ability to create solutions that you just simply can't create because you don't have the full stack. Dell was well positioned to do that with a potential span in of VMware. >> Yeah, we're going to be-- Go ahead please. >> Yeah, in fact, I think you're right, Keith, it was terrible for the industry. Great for Dell. And I remember talking to Chad Sakac when he was running, you know, VCE, which became Rack and Rail, their ability to stay in lockstep with what VMware was doing. What was the number one workload running on hyperconverged forever? It was VMware. So their ability to remain in lockstep with VMware gave them a huge competitive advantage. And Dell came out of nowhere in, you know, the hyper-converged market and just started taking share because of that relationship. So, you know, this sort I guess it's, you know, from a Dell perspective I thought it gave them a pretty big advantage that they didn't really exploit across their other properties, right? Networking and service and things like they could have given the dominance that VMware had. From an industry perspective though, I do think it's better to have them be coupled. So. >> I agree. I mean, they could. I think they could have dominated in super cloud and maybe they would become the next Oracle where everybody hates 'em, but they kick ass. But guys. We got to wrap up here. And so what I'm going to ask you is I'm going to go and reverse the order this time, you know, big takeaways from this conversation today, which guys by the way, I can't thank you enough phenomenal insights, but big takeaways, any final thoughts, any research that you're working on that you want highlight or you know, what you look for in the future? Try to keep it brief. We'll go in reverse order. Maybe Marc, you could start us off please. >> Sure, on the research front, I'm working on a total cost of ownership of an integrated database analytics machine learning versus separate services. On the other aspect that I would wanted to chat about real quickly, OPEX versus CapEx, the cloud changed the market perception of hardware in the sense that you can use hardware or buy hardware like you do software. As you use it, pay for what you use in arrears. The good thing about that is you're only paying for what you use, period. You're not for what you don't use. I mean, it's compute time, everything else. The bad side about that is you have no predictability in your bill. It's elastic, but every user I've talked to says every month it's different. And from a budgeting perspective, it's very hard to set up your budget year to year and it's causing a lot of nightmares. So it's just something to be aware of. From a CapEx perspective, you have no more CapEx if you're using that kind of base system but you lose a certain amount of control as well. So ultimately that's some of the issues. But my biggest point, my biggest takeaway from this is the biggest issue right now that everybody I talk to in some shape or form it comes down to data movement whether it be ETLs that you talked about Keith or other aspects moving it between hybrid locations, moving it within a system, moving it within a chip. All those are key issues. >> Great, thank you. Okay, CTO advisor, give us your final thoughts. >> All right. Really, really great commentary. Again, I'm going to point back to us taking the walk that our customers are taking, which is trying to do this conversion of all primary data center to a hybrid of which I have this hard earned philosophy that enterprise IT is additive. When we add a service, we rarely subtract a service. So the landscape and service area what we support has to grow. So our research focuses on taking that walk. We are taking a monolithic application, decomposing that to containers, and putting that in a public cloud, and connecting that back private data center and telling that story and walking that walk with our customers. This has been a super enlightening panel. >> Yeah, thank you. Real, real different world coming. David Nicholson, please. >> You know, it really hearkens back to the beginning of the conversation. You talked about momentum in the direction of cloud. I'm sort of spending my time under the hood, getting grease under my fingernails, focusing on where still the lions share of spend will be in coming years, which is OnPrem. And then of course, obviously data center infrastructure for cloud but really diving under the covers and helping folks understand the ramifications of movement between generations of CPU architecture. I know we all know Sapphire Rapids pushed into the future. When's the next Intel release coming? Who knows? We think, you know, in 2023. There have been a lot of people standing by from a practitioner's standpoint asking, well, what do I do between now and then? Does it make sense to upgrade bits and pieces of hardware or go from a last generation to a current generation when we know the next generation is coming? And so I've been very, very focused on looking at how these connectivity components like rate controllers and NICs. I know it's not as sexy as talking about cloud but just how these opponents completely change the game and actually can justify movement from say a 14th-generation architecture to a 15th-generation architecture today, even though gen 16 is coming, let's say 12 months from now. So that's where I am. Keep my phone number in the Rolodex. I literally reference Rolodex intentionally because like I said, I'm in there under the hood and it's not as sexy. But yeah, so that's what I'm focused on Dave. >> Well, you know, to paraphrase it, maybe derivative paraphrase of, you know, Larry Ellison's rant on what is cloud? It's operating systems and databases, et cetera. Rate controllers and NICs live inside of clouds. All right. You know, one of the reasons I love working with you guys is 'cause have such a wide observation space and Zeus Kerravala you, of all people, you know you have your fingers in a lot of pies. So give us your final thoughts. >> Yeah, I'm not a propeller heady as my chip counterparts here. (all laugh) So, you know, I look at the world a little differently and a lot of my research I'm doing now is the impact that distributed computing has on customer employee experiences, right? You talk to every business and how the experiences they deliver to their customers is really differentiating how they go to market. And so they're looking at these different ways of feeding up data and analytics and things like that in different places. And I think this is going to have a really profound impact on enterprise IT architecture. We're putting more data, more compute in more places all the way down to like little micro edges and retailers and things like that. And so we need the variety. Historically, if you think back to when I was in IT you know, pre-Y2K, we didn't have a lot of choice in things, right? We had a server that was rack mount or standup, right? And there wasn't a whole lot of, you know, differences in choice. But today we can deploy, you know, these really high-performance compute systems on little blades inside servers or inside, you know, autonomous vehicles and things. I think the world from here gets... You know, just the choice of what we have and the way hardware and software works together is really going to, I think, change the world the way we do things. We're already seeing that, like I said, in the consumer world, right? There's so many things you can do from, you know, smart home perspective, you know, natural language processing, stuff like that. And it's starting to hit businesses now. So just wait and watch the next five years. >> Yeah, totally. The computing power at the edge is just going to be mind blowing. >> It's unbelievable what you can do at the edge. >> Yeah, yeah. Hey Z, I just want to say that we know you're not a propeller head and I for one would like to thank you for having your master's thesis hanging on the wall behind you 'cause we know that you studied basket weaving. >> I was actually a physics math major, so. >> Good man. Another math major. All right, Bob O'Donnell, you're going to bring us home. I mean, we've seen the importance of semiconductors and silicon in our everyday lives, but your last thoughts please. >> Sure and just to clarify, by the way I was a great books major and this was actually for my final paper. And so I was like philosophy and all that kind of stuff and literature but I still somehow got into tech. Look, it's been a great conversation and I want to pick up a little bit on a comment Zeus made, which is this it's the combination of the hardware and the software and coming together and the manner with which that needs to happen, I think is critically important. And the other thing is because of the diversity of the chip architectures and all those different pieces and elements, it's going to be how software tools evolve to adapt to that new world. So I look at things like what Intel's trying to do with oneAPI. You know, what Nvidia has done with CUDA. What other platform companies are trying to create tools that allow them to leverage the hardware, but also embrace the variety of hardware that is there. And so as those software development environments and software development tools evolve to take advantage of these new capabilities, that's going to open up a lot of interesting opportunities that can leverage all these new chip architectures. That can leverage all these new interconnects. That can leverage all these new system architectures and figure out ways to make that all happen, I think is going to be critically important. And then finally, I'll mention the research I'm actually currently working on is on private 5g and how companies are thinking about deploying private 5g and the potential for edge applications for that. So I'm doing a survey of several hundred us companies as we speak and really looking forward to getting that done in the next couple of weeks. >> Yeah, look forward to that. Guys, again, thank you so much. Outstanding conversation. Anybody going to be at Dell tech world in a couple of weeks? Bob's going to be there. Dave Nicholson. Well drinks on me and guys I really can't thank you enough for the insights and your participation today. Really appreciate it. Okay, and thank you for watching this special power panel episode of theCube Insights powered by ETR. Remember we publish each week on Siliconangle.com and wikibon.com. All these episodes they're available as podcasts. DM me or any of these guys. I'm at DVellante. You can email me at David.Vellante@siliconangle.com. Check out etr.ai for all the data. This is Dave Vellante. We'll see you next time. (upbeat music)
SUMMARY :
but the labor needed to go kind of around the horn the applications to those edge devices Zeus up next, please. on the performance requirements you have. that we can tap into It's really important that you optimize I mean, for years you worked for the applications that I need? that we were having earlier, okay. on software from the market And the point I made in breaking at the edge, in the data center, you know, and society and do you have any sense as and I'm feeling the pain. and it's all about the software, of the components you use. And I remember the early days And I mean, all the way back Yeah, and that's why you see And the answer to that is the disc had to go and do stuff. the compute to the data. So is this what you mean when Nicholson the processing closer to the data? And so when you can have kind of innovation in the area that the future is going to be the ability to get where and how do you see the shifting demand And the opportunity is to to support, you know, of that edge ecosystem, you know, that you wanted to chat One of the things about moving to the edge I mean, other than the and the ability to create solutions Yeah, we're going to be-- And I remember talking to Chad the order this time, you know, in the sense that you can use hardware us your final thoughts. So the landscape and service area Yeah, thank you. in the direction of cloud. You know, one of the reasons And I think this is going to The computing power at the edge you can do at the edge. on the wall behind you I was actually a of semiconductors and silicon and the manner with which Okay, and thank you for watching
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Murli Thirumale, Portworx | AWS Summit SF 2022
(upbeat music) >> Okay, welcome back everyone to theCUBE's coverage of AWS Summit 2022, here at Moscone Center live on the floor, I'm John Furry host of theCUBE, all the action day two, remember AWS Summit in New York City is coming in the summer. We'll be there as well. Got a great guest Murli Murli who's the VP and GM of Cloud Native Business Unit Portworx, been in theCUBE multiple times. We were just talking about the customer he had on Ford from Detroit, where kubernetes will be this year. >> That's right. >> Great to see you. >> Yeah, same here, John. Great to see. >> So, what's the update? Quickly this, before we get into the country, give the update on what's going on in the company, what's happening? >> Well, you know, we've been acquired by Pure Storage it's well over a year. So we've had one full year of being inside of Pure. It's been wonderful, right? So we've had a great ride so far, The products have been renewed. We've got a bunch of integrations with Pure. We more than doubled our business and more than doubled our head count. So things are going great. >> I always had a, congratulations by the way. And I was going to ask about the integration but before I get there, yeah, we've been always like play some jokes on theCUBE and because serverless is so hot, I've been using storage lists and actually saw a startup yesterday had the word networking lists in their title. So this idea of like making things easier, but me, I mean serverless of this is basically servers that make it easier. >> Yeah, yeah >> So this is kind of where we see Cloud Native going. Can you share your thoughts on how Pure and Portworx are bringing this together? Because you can almost connect the dots in my mind. So say specifically what is the Cloud Native angle with Pure? >> Yeah. So look, I'll kind of start by being captain an obvious, I guess. Just sort of stating some obvious stuff and then get to what I hope will be a little bit more new and interesting. So the obvious stuff to start with is just the fact that Cloud Native is exploding. Containers are exploding. It's kind of a well known fact that 85% of the enterprise organizations around the world are pretty much going to be deploying containers, if not already in the next couple of years, right? So one it's really happening. The, buzz is now, it's not just in the future, the hype is now. The second part of that is it's really part of that is things are going production. 56% of these organizations are in production already. And that's the number is going to climb to 80 fairly quickly. So not only is this stuff being deployed as being deployed in sort of fairly mission critical, especially Greenfield applications. So that's kind of one, right? Now, the second thing that we're seeing is as they go in into production, John, the migraines are starting, right? Customer migraines, right? It's always happens in stuff that they have not looked around the corner and anticipated. So one of them is, again, a fairly obvious one is as they go into production, they need to be able to kind of recover from some oops that happens, right? And the kinds of think about this, right? John, this stuff is rapidly changing, right? Look at how many versions of kubernetes come out on a regular basis. On top of that, you got all these app, virgins, new database virgins, new stuff, vendors like us, ourselves have new virgins. So with all these new virgins, when you put it all together the stack, sometimes misbehave. So you got to kind of, "Hey, let me go recover." Right? You have outages. So essentially the whole area of data protection becomes a lot more critical. That's the migraine that people are beginning to get now, right? They can feel the migraine coming on. The good news is this is not new stuff. People know on- >> John: The DevOps. >> Yeah. Well, and in fact it is that transition from DevOps to ITOps, right? People know that they're going into production, that they need backup and data protection and disaster recovery. So in a way it's kind of good news, bad news, the good news is they know that they need it. The bad news is, it turns out that it's kind of interesting as they go Cloud Native, the technology stack has changed. So 82% of customers who are kind of deploying Cloud Native are worried about data protection. And in fact, I'll go one step further 67% of those people have actually kind of looked at what they can get from existing vendors and are going, "Hey, this is not it. This is not going to do my stuff for me." >> And by the way, just to throw a little bit more gas on that fire is ransomware attacks. So any kind of vulnerability opening? Maybe make people are scared. >> Murli: Absolutely. >> So with- >> Murli: Its a board level topic, right? >> Yeah, and then you bring down the DevOps, which is we all know the innovation formula launch in iterate, pivot, iterate, pivot, then innovation you get the formula, all your metrics, but it's a system. >> Correct. >> Storage is part now of a system when you bring Cloud Native into it, you have a consequence if something changes. >> Murli: Correct. >> So I see that. And the question I have for you is, where are we in the stability side of it? Are we close to getting there and what's coming out to help that, is it more tooling? Because the trend is people are building tools around their Cloud Native thing. I was just talking to MongoDB and they got a database, now that's all tooling. Vertically integrate into the asset or the product, because it integrates with APIs, right? So that makes total sense. >> So I think there's kind of again, a good news, bad news there, right? There's a lot of good news, right? In the world of containers and kubernetes what are some of the good news items, right? A lot of the APIs have settled down have been defined well, CNCF has done a great job promoting that, right? So the APIs are stable, right? Second, the product feature set, have become more stable, particularly sort of the the core kubernetes product security kind of stuff, right? Now what's the bad news. The bad news is, while these things are stable they are not ready for scale in every case yet, right? And when you integrate at scale, so and typically the tipping point is around 20 to 30 nodes, right? So typically when you go beyond 20 to 30 nodes then the stuff starts to come a apart, right? Like, the wheels come off of the train and all of that. And that's typically because there's a lot of the products that were designed for DevOps, are not well suited for ITOps. So really there is a new- >> And the talent culture. >> Exactly. >> Talent and culture sometimes aren't ready or are changing. >> So it's a whole bunch of people trying to use kind of a maturing product set with skill sets that are pretty low, right? So when we get into production, then other factors come into play, high availability, right? Security, you talk about ransomware, disaster recovery backup. So these are things that are sort of, I would say not 101 problems, but 201 problems, so right? This is natural as we go to that part of the thing. And that's the kind of stuff that, Portworx and Pure Storage have been kind of focused on solving. And that's kind of been how we've made our mark in the industry, right? We've helped people really get to production on some of these different points. >> Expectation on both companies have been strong, high quality, obviously performance on Pure side from day one, just did a great job with the products. Now, when you go into Cloud Native you have now this connection okay. To the customer, again I think huge point on the changing landscape. How do you see that IT to DevOps emerging? Because the trend that we're seeing is, abstracting way the complexities of management. So I won't say managed services are more of a trend, they've always been around but the notion of making it easier for customers. >> Yep, absolutely right. >> Super important. So can you guys share what you guys are doing to make it easier because not everyone has a DevOps team. >> Yeah, so look, the number one way things are made more easy, is to make it more consumable by making it as a service. So this is one of the things, here we are, at AWS Summit, right? And delighted to be here by the way. And we have a strategic alliance with with AWS, and specifically, what we're here to announce really is that we're announcing a backup as a SaaS product. Coming up in a few weeks we're going to be giing running on AWS as a service integrated with AWS. So essentially what happens is, if you have a containerized set of applications you're deploying it on EKS, ECS, AWS, what have you. We will automatically provide the ability for that to be backed up scaled and to be very, very container granular, very app specific, right? Yeah, so it's designed specifically for kubernetes. Now here's the kind of key thing to say, right? Backup's been around for a long time. You've interviewed, tons of backup people in the past. But traditional backup is just not going to work for kubernetes. And it's very simple if you think about it, John. >> John: And why is that? >> It's a very simple thing, right? Traditional backup focuses on apps and data, right? Those are the two kind of legs of that. And they create catalogs and then do a great job there. Well, here's, what's happened with Cloud Native. You have a thing inserted in the middle called kubernetes. So when you take a snapshot, I'm now kind of going into a specific kind of, world of storage, right? When you take a snapshot, what Portworx does is we take a 3D snapshot. What you really need to recover, from a backup situation where, you want to go back to the earlier stage to be kubernetes specific, you need a app snapshot, snapshot of the kubernetes spec, pod spec, And third of snapshot of the data. Well, traditional, backup folks are not taking that middle snapshot. So we do a 3D snapshot and we recover all three which is really what you need to be able to kind of like get backed up, get recovered in minutes. >> Okay and so the alternative to not doing that is what? What will happen? >> You To do that, to do your old machine level backup? So what happens with traditional backups are typically VM level or machine level, right? So you're taking a snapshot of the whole kind of machine and server or VM setup and then you recover all of that, and then you run kubernetes on that and then you try to recover it- >> John: To either stand everything up again. >> Yeah, yeah. >> John: Pretty much. >> Yeah. Whereas, what do most people want to do? This is a very different use case, by the way, right? How does this work? What people are doing for kubernetes is they're not doing archival kind of backup. What they're doing is real time, right? You're running an ops. Like I said, you got an oops, "Hey, a new release for one of the new databases then work right? Boom! I want to just go back to like yesterday, right? So how do I do that? Well, here you can just go back for that one database, one app, and recover back to that. So it's operational backup and recovery as opposed to archival backup and recovery. So for that, to be able to recover in seconds, right? You need to be, he kind of want integrated with AWS which is what we are. So it's integrated, it's automated, and it's very, very container granular. And so these three things are the things that make it sort of, very specific way. >> I love the integration story. 'Cause I think that's the big mega trend we're seeing now is is that integrating in. And, but again, it's a systems concept. It's not standalone storage, detached storage. >> Murli: Exactly. >> It's always, even though it might be decoupled a little bit it's glued together through say- >> John, you said it right. The easy button is for the system, right? Not for the individual component. Look, all of us vendors in this ecosystem are going around framing, having a being easy. But when we say that, what do we mean? We mean, oh, I'm easy to use. Well that doesn't help the user. Who's got to put all this stuff together. So it's really kind of making that stack work. >> This is easy to use, but it made these things more complex. This is what we do in the enterprise solve complexity with more complexity. >> Putting the problem to the other guy. Yeah. So it's that end to end ease of use is kind of what I would say, is the number one benefit, right? One it's container specific and designed for kubernetes. And second, it really, really is easy. >> Well, I really like the whole thing and I want to get your thoughts as we close out, what should people know about Pure and Portworx's relationship now and in the Amazon integration, what's the new narrative the north Star's still the same? High performance store, backup, securely recover and deliver the data in whatever mechanism we can. That north Star's clear, never changes, which is great. I feel love about Pure and Cloud Native. It's just taking the blockers away- >> I think the single biggest thing I would say, is all of these things, what we're turning into it is as a service offering. So if we're going to backup as a service our Portworx product now is going to be the Portworx enterprise Pure Storage product is going to be offered as a service. So with, as a service, it's easy to consume. It's easy to deploy. It's fully automated. That's the kind of the single biggest aha! Especially for the folks who are deploying on AWS today, AWS is well known for being easy to use. It's kind of fully automated. Well here, now you have this functionality for Cloud Native workloads. >> Final question, real quick, customer reaction so far, I'm assuming marketplace integration, buying terms, join selling, go to market? >> So yeah, it is integrated billing and all of that is part of that kind of offering, right? So when we say easy, it's not just about being easy to use it's about being easy to buy. It's being easy to expand all of that and scaling. Yeah. And being able to kind of automatically or automagically as I like to say, scale it, right? So all of that is absolutely part of it, right? So it is really kind of... It's not about having the basics anymore. We've been in the market now for six, seven years, so right? We have sort of an advanced offering that not only knows what customer want but anticipates what ones can expect and that's a key difference. >> I was talking to Dr. Matt Wood real quick. I know we got to wrap up on the schedule, but earlier today about AI and business analytics division's running and we were talking about serverless and the impact of serverless. And he really kind of came down the same lines where you are with the storage and the cloud data which is, "Hey, some people just want storage and the elastic leap analytics without all the under the cover stuff." Some people want to look under the covers, fine whatever choice. So really two things, so. >> Yeah, yeah. All the way from you can buy the individual components or you can buy the as a service offering, which just packages it all up in a on easy to consume kind of solution, right? >> Final, final question. What's it like at Pure everything going well, things good? >> We love it, man. I'll tell you these folks have welcomed us with open arms. And look, I've been acquired twice before. And I say this, that one of the key linchpins to a successful integration or acquisition is not just the strategic intent that always exists but really around a common culture. And, we've been blessed. I think the two companies have a strong common culture of being customer first, product excellence, and team wins every time. And these three things kind of have pulled us together. It's been a pleasure. >> One of the benefits of doing the queue for 13 years is that you get the seats things. Scott came on the queue to announce Pure Storage on theCUBE, cuz he was a nobody else. There was, oh, you're never going to get escape Velocity, EMC's going to kill, you never owned you. Nope. >> Well, we're talking about marketplaces and theCUBE is the marketplace of big announcements, John. So this is, delighted- >> Announcements. >> Yeah. Yeah. Well that was the AWS announcement. Yeah. So that's, that is big >> Final words, share the audience. What's what to expect in the next year for you guys? What's the big come news coming down? What's coming around the corner? >> I think you can expect from from Pure and Portworx the as a service set of offerings around, HADR backup, but also a brand new stuff, keep an eye out. We'll be back with John. I hope that talking about this is data services. So we have a Portworx data service product that is going to be announced. And it's magic. It's allowing people to deploy databases in a very, very, it's the easy button for database deployment. >> Congratulations on all your success. The VP and General Manager of the Cloud Native Business Unit. >> You make it sound bigger than it actually is, John. >> Thanks for coming on. Appreciate it. >> Thanks. >> Okay theCUBE coverage be back for more coverage. You're watching theCUBE here, live in Moscone on the ground at an event AWS Summit 2022. I'm John Furrier. Thanks for watching. (upbeat music)
SUMMARY :
is coming in the summer. So things are going great. about the integration connect the dots in my mind. So the obvious stuff to start with the good news is they And by the way, just to bring down the DevOps, when you bring Cloud Native into it, And the question I have for you is, So the APIs are stable, right? Talent and culture sometimes And that's the kind of stuff but the notion of making So can you guys share what you guys Yeah, so look, the number one way Those are the two kind of legs of that. John: To either stand So for that, to be able to I love the integration story. The easy button is for the system, right? This is easy to use, So it's that end to end ease of use and deliver the data in That's the kind of the single biggest aha! So all of that is absolutely and the impact of serverless. All the way from you can buy What's it like at Pure everything is not just the strategic intent Scott came on the queue to is the marketplace of So that's, that is big the next year for you guys? it's the easy button of the Cloud Native Business Unit. You make it sound bigger Thanks for coming on. on the ground at an event AWS Summit 2022.
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Chris Lynch, Tech Tackles Cancer
(bright music) >> You know, there's a lot of negative press around the technology industry these days. The tech lash is somewhat understandable, people are struggling and yet the tech industry is booming, creating incredible wealth for a relatively select group of people. I get it. But the reality is, that the technology industry has guided us through the pandemic, allowing us to work remotely, securing our employees, keeping goods and services flowing, and using data and analytics to track COVID and accelerate the development of vaccines. And many in the tech industry are passionate about giving back and applying their talents to solve real world problems. I'll give you an example. After accidents, cancer is the number one cause of death among young people. In the middle of the 20th century, the survival rate for kids with cancer was 0.0%. Today, it's above 85%. Cancer in kids is much different than in adults. The types of cancer, the diagnoses, the treatments, they vary. Different types of research are required to attack the problem. And that takes money. And one of the people here in Boston and beyond that's using his talents, his creativity, his network, and yeah, his wealth, to attack this problem, is my friend, Chris Lynch, entrepreneur, investor, and philanthropist. Chris, awesome to see ya. Welcome back to theCUBE my friend. >> Thanks, Dave. It's great to be here. >> So, listen, this personal story of yours, how'd you get into, where's the passion come from for kids with cancer? >> Dave, it's actually related to one of my startup endeavors. When you're starting, bootstrapping your company, you're typically staying at people's homes to save money. >> Sleeping on couches. Yeah. >> Yeah, yeah. Pretty much. And for the years of these startups, I've developed relationships with families all over the world, 'cause I've literally lived with them for periods of time until the companies got to points where we didn't have to do that. And there was a family in Seattle that I used to stay with, and they had a son that was a similar age to one of mine and he ultimately passed of cancer. And I stayed with the family, and I stayed with them a few times while they were going through this, and I was touched, I was inspired by their courage, how positive they were. I was thinking in my own circumstance, how could I, I would just hate the world. And in these families, I stay there, they call me Uncle Chris. And I was having dinner at the family home and I was looking at the boy, and I excused myself, went to the bathroom and I started sobbing, and he knocks on the door, comes in and says, "Uncle Chris, it's okay. My dad tells me you can do anything. Just do whatever you can so that other kids don't have what I have." You know and... >> Wow. Wow. And I can see the emotion that you're feeling right now, bringing us back to that moment. >> Well. Yeah. >> It's unbelievable. All right, so you got Tech Tackles Cancer. Is this your latest venture? I think the last one was 2018. It's coming back, took a break 'cause of COVID, and this is going to go down on the 21st at The Sinclair in Harvard Square. Bring a bunch of people in. We got a number of people who have signed up to, actually you're one of them, of course, but to sing karaoke, raise a bunch of dough, and then there's like a little contest, right? So... (he chuckles) Alex, bring up that slide. I got to show the audience who we got here. And this is, Chris, this is your competition. So, here you go. We got, Steve Duplessie, right? That's a great picture, Steve. Thanks for doing this, right. Nathan Hall, who's at Pure Storage. Steiny, Ken Steinhardt, from INFINIDAT. And you got George Hope at HPE. And Joe Lemay, who's an inventor, he's the CEO of Rocketbook. Any of these guys worry you? >> I'm going to sleep easy tonight. (Dave laughs) >> So, how did you get into rock and roll? You wrote a blog one time. You quoted Nietzsche saying that life without music would be a mistake. Rock and roll. Rock on. How'd you get into rock and what's your passion there? >> Well, I always loved rock and roll but I had someone that was staying with us who was a student at BU, and he went to his semester abroad, he went to the UK. And he came back with all this punk rock music, the Sex Pistols and all this stuff. And I heard it and it just triggered something in me. And then I didn't want to do anything but play music and try to be a musician, and my grades and everything else suffered as a result. But music's always inspired me, the creativity, the boldness. A lot of things that I think I apply to my startup life. >> How could people help? Let's say they want to get involved. I mean, obviously, they can attend the event, they donate. What should people do? They could sing? >> Yeah. So they can certainly sponsor the event. There are a number of sponsorship opportunities. They can participate. They can volunteer for the event. It is an all-volunteer organization. Every dollar that we raise goes to the charities that we've listed. And we handle everything else through a lot of arm twisting and whatnot. >> Great. So it's June 24th, sorry, June 21st, at The Sinclair, which is right in Harvard Square. So it's live band karaoke, right? >> Correct. >> I've seen some of the, we're going to share a little clip there. And so, it's a call to action to all you rock and roll technology gods out there. You know, we showed you the five folks plus Chris who were doing it, and so we're dying to see you up there again, you must be really excited about it. >> I am, I am. I'm going to be much better than last time. >> Okay. Well, so just on that note we'll close with a little taste of what's in store for June 21st. We'll see you there. ♪ Now my loneliness ♪ ♪ Is killing me now ♪ ♪ You know I still believe ♪ ♪ Midnight, midnight to six ♪ ♪ Midnight, midnight to six ♪ ♪ Midnight, midnight to six ♪ ♪ Believe in things that you don't understand ♪ ♪ then you're su... ♪ (bright music)
SUMMARY :
and accelerate the to one of my startup endeavors. Yeah. and he knocks on the And I can see the emotion and this is going to go down on the 21st I'm going to sleep easy tonight. So, how did you get into rock and roll? I apply to my startup life. attend the event, they donate. certainly sponsor the event. So it's live band karaoke, And so, it's a call to action to all you I'm going to be much ♪ Midnight, midnight to six ♪
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Josh Epstein, Tech Tackles Cancer
(upbeat music) >> On June 21st in Cambridge mass at the Sinclair in Harvard Square, Tech Tackles Cancer is back after a COVID hiatus with live band karaoke and some local tech celebrities raising money for a great cause. The Cube is a media sponsor of the event and Josh Epstein, local marketing exec and one of the events organizers is here to tell us more. Josh, good to see you, welcome. >> Good to be here, Dave. >> So tell us about this event. What's going on? What are the logistics? How's that all work? >> Yeah, we're super excited. So as you said, June 21st at the Sinclair in Harvard Square, Sinclair, if you haven't been there is just the great old school rock club. So we'll be there from 6:00 to 10:00. We will have live band karaoke. So the main event and kind of the primary fundraising approach here is that we have some celebrity technology rock gods these featured performers like Chris Lynch who was the founder of Tech Tackles Cancer, who are are raising money from basically now, up until June 21st. Then at the event, their fundraising will culminate with them singing a live song backed by a live band. And the awards will be given out to the most money raised, the best performance and the best stage presence. So it will be a lot of fun. >> So the fundraising format is I sign up to sing do the karaoke with a live band which is a little bit different. And then I raise as much dough as possible. So obviously that's competitive. >> It's competitive, I think that we ask for a minimum of $10,000 targeted for each of the fundraisers but knowing these guys, knowing guys like Chris Lynch, they don't like to lose. So the bet here is that people are going to go out, they're going to hit their network and they are going to look to kind of raise the most money. So we anticipate this to be a great event with a lot of money raised and a lot of fun. >> So we have a graphic from Alex. If you could bring that up of the people who have signed up for this already. We got Steve Duplessie, founder of of ESG, senior analyst. They sold their company to Tech Target, which is awesome. Congratulations to those guys and thank you for stepping up. George Hope, who heads partner sales for HPE, Joe Lemay of Rocketbook Nathan Hall from Pure Storage, system engineering guy and of course, Steiny, Ken Steinhardt from Infinidat. He was at EMC, he's the field CTO now. He's going to be up there singing. So of course, Chris. >> Absolutely, these are just the early entrance here. So we just started really working our networks. And obviously, I'm a Boston tech guy kind of working the storage networks, the networking networks and kind of the other folks that are around. So as we come out of stealth here in April and start really recruiting, we anticipate having probably 10 to 15 of these featured performers, really fundraising performers that we'll sing. And then we're also obviously soliciting broader donations from anyone who wants to come to the event or just give to the cause and the corporate sponsorships as well. >> All right, so you got corporate sponsorships. You can sing, you can donate you can be there just to support it. That's fantastic and the awards, how's that work? >> Yeah, so we're excited. So first off, most money raised wins an award. So we'll have a leaderboard on the website, we'll be able to kind of track who's raised what, at the event, we're going to have some celebrity judges that will be actually voting for their favorites and then have a crowdsource component as well. So we'll introduce what that mechanism is. But as people, either at the events or a watching in streamed live on LinkedIn live, we'll actually vote for their favorite performance as well as their their pick for best stage presence which we know in rock and roll is half the battle. >> Now this cause has raised a bunch of, I think last time, you guys did this, it was probably a quarter million or close to it and you support multiple causes. What causes are you supporting? >> Sure, yeah, actually I think since they founded the event several years ago they raised over $2 million. This year for this format where we're looking, we can really up our game here but this year we're supporting two really great causes that are both focused on pediatric cancer. The first is St. Batrick's that is really committed to raising funds for research to really help stamp out pediatric cancer really. The approach to researching cures and treatments to pediatric cancer is very different from regular adult cancer. So St. Batrick's does a great job of picking those research projects that really target in on those pediatric cancer causes. And then the second is one mission. And one mission really outlooks to help make pediatric cancer patients that are spending time in the hospital, making their time less stressful, less painful, less sad, less boring. And so they do a lot of fundraising and contributions targeting children's hospitals, really around the country for those pediatric cancer floors. >> Josh, amazing cause. Thanks so much for coming onto the Cube and explaining all that. >> Great, thanks David. >> All right, June 21st, go to ttcfund.org, Tech Tackles Cancer fund, ttcffund.org for more information and you can donate. We'll see you there. (soft music)
SUMMARY :
and one of the events organizers What are the logistics? and kind of the primary So the fundraising So the bet here is that So of course, Chris. and kind of the other That's fantastic and the at the event, we're going to or close to it and you really around the country for Thanks so much for coming onto the Cube go to ttcfund.org, Tech Tackles
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Rob Lee, CTO, Pure Storage
(bright music) (logo whooshing) >> Welcome everyone to theCUBEs continuing coverage of AWS 2021. I'm your host, Lisa Martin. We are excited to be running one of the industry's most important and largest hybrid tech events of the year with AWS and its ecosystem partners. We have two live sets, two remote studios, we've got over a hundred guests on the program, and we're going to be talking about the next decade of cloud innovation. We are pleased to welcome back one of our alumni to the program, Rob Lee, the CTO of Pure Storage. Rob, thank you so much for joining us today. >> Good to see you again, Lisa, and thanks for having me. >> Likewise and I was stalking you on LinkedIn. Looks like you've got a promotion since I last saw you. Congratulations >> Thank you. >> on your appointment as a CTO. >> No, thank you very much. Very excited to be taking the reins and for all the great stuff that's ahead of us. >> Lot of great stuff, I'm sure. I also saw that once again, Pure has been named a leader in several gartner magic quadrants for primary storage, for distributed file storage, and object storage. Lots of great things continuing to go on from the orange side. Let's talk about hybrid. I've seen so much transformation and acceleration in the last 20 plus months, but I'd love to see what you guys are seeing with respect to your customers and their hybrid cloud strategies. What problems are they in this dynamic day and age are they looking to solve? >> Yeah, absolutely. I think, all in all, I think, you know, customers are definitely maturing in their understanding and approach to all things around cloud. And I think when it comes to their approach towards hybrid cloud, one of the things that we're seeing is that customers are really, you know, focusing extra hard and just trying to make sure that they're making the best use of all their IT tools. And what that means is, you know, not just looking at hybrid cloud as a way to connect from on-prem to the cloud, but really being able to make use of and make the most use out of each, you know, each of the services and capabilities of the environments that they're operating in. And so a lot of times that means, you know, commonality in how they're operating, whether it's on-premise or in cloud, it means the flexibility that that commonality allows them in terms of planning and optionality to move parts of their application or environments between premise and cloud. You know, and I think overall, you know, we look at this as, you know, really a couple specific forces that customers are looking for. One is, you know, I think they're looking for ways to bring a lot more of the operating model and what they're used to in the cloud, into their own data center. And at the same time, they're looking to be able to bridge more of how they operate the applications they're powering and running in their own data centers today and be able to bridge and bring those into the cloud environments. And then lastly, I'd say that, you know, as customers, I think, you know, today are kind of one foot in their more traditional application environments and the other foot largely planted in developing and building some of their newer applications built on cloud native technologies and architectures driven by containers and Kubernetes, you know, a big focus area for customers, whether it's on-prem or in cloud or increasingly hybrid is, you know, supporting and enabling those cloud native application development projects. And that's certainly an area that you've seen Pure focus in as well. And so I think it's really those three things. One is customers looking for ways to bring more of the cloud model into their data center, two is being able to bring more of what they're running in their data center into the cloud today, and then three is building their new stuff and increasingly planning to run that across multiple environments, prem, cloud, and across clouds. >> So, Rob, talk to me about where Pure fits in the hybrid cloud landscape that your customers are facing in this interesting time we're living in. >> Yeah, absolutely. You know, we're really focused on meeting customer's needs in all three of the areas that I just articulated and so this starts with bringing more of the cloud operating model into customers' data centers. And, you know, we start by focusing on, you know, automation, simplicity of management, delivering infrastructure as code, a lot of the attributes that customers are used to in a cloud environment. In many ways, as you know, this is a natural evolution of where Pure has been all along. We started by bringing a lot of the consumer-like simplicity into our products and enterprise data centers. And now, we're just kind of expanding that to bring more of the cloud simplicity in. You know, we're also, this is an area where we're working with our public cloud partners such as AWS in embracing their management models. And so you saw, you know, you saw us do this as a storage launch partner for AWS Outposts and that activity is certainly continuing on. So customers that are looking for cloud-like management, whether they want to build that themselves and customize it to their needs or whether they want to simply use cloud providers management plans and extend those onto their premise, have both options to do that. You know, we're also, as you know, very committed to helping customers be able to move or bridge their traditional applications from their data center into the public cloud environments through products like Cloud Block Store. This is an area where we've helped numerous customers, you know, take the existing applications and more importantly, the processes and how the environments are set up and run that they're used to running in their data center production environments bridge those now into public cloud environments. And whether that's in AWS or in Microsoft Azure as well. And then thirdly with Portworx, right? This is where, you know, we're really focused on helping customers, not just by providing them with the infrastructure they need to build their containerized cloud native applications on, but then also marrying with that infrastructure, that storage infrastructure, the data flow operations such as backup, TR, migration that go along with that storage infrastructure, as well as now application management capabilities, which we recently announced during our launch event in September with Portworx Data Services. So really a lot of activities going on across the board, but I would say definitely focused on those three key areas that we see customers really looking to crack as they, I would say balance the cloud environments and their data center environments in this hybrid world. >> And I'm curious what you're saying, you know, the focus being on data. >> Customers, you know, definitely recognize the data is their lifeblood is kind of, you know, contains a lot of the, you know, the value that they're looking to extract, whether it's in a competitive advantage, whether it's in better understanding their customers, you know, and or whether it's in product development, faster time to market. I think that, you know, we're definitely seeing more of an elevated realization and appreciation for not just how valuable that it is, but, you know, how much gravity it holds, right? You know, customers that are realizing, "Hey, if I'm collecting all this data in my on-prem location, maybe it's not quite that feasible or sensible to ship all that data into a public cloud environment to process. Maybe I need to kind of look at how I build my hybrid strategy around data being generated here, services living over here, and how do I bridge those two, you know, two locations." I think you add on top of that, you know, newer, I would say realization of security and data governance, data privacy concerns. And that certainly has customers, I think, you know, thinking a lot more intently about, you know, their data management, not just their data collection and data processing and analysis strategy, but their overall data managements, governance, and security strategies. >> Yeah, we've talked a lot about security in this interesting time that we're living in. The threat landscape has changed massively. Ransomware is a household word and it's a matter of when versus if. As customers are looking at these challenges that they're combating, how are you helping them address those data security concerns as they know that, you know, we've got this work from anywhere that's hybrid work environment, that's going to process for probably some time, but that security and ensuring that the data that's driving the revenue chain is secure and accessible, but protected no matter where it is? >> Yeah, absolutely. And I think you said it best when you said it's a matter of when, not if, right? And I think, you know, we're really focused on helping customers plan for and have, you know, plan for it and have a very quick reaction remediation strategy, right? So, you know, customers that I would say historically have focused on perimeter security have focused on preventing an attack, and that's great, and you need to do that, but you also need to plan for, hey, if something happens where, you know, as we just said, when something happens, what is your strategy for remediating that, what is your strategy for getting back online very quickly? And so this is an area where, you know, we've helped countless customers, you know, form robust strategies for, you know, true disaster recovery from a security or ransomware since. We do this by through our safe mode features, which are available across all of our products. And, you know, quite simply, this is our capability to take read-only snapshots and then couple them with a heightened level of security that effectively locks these snapshots down and takes the control of the snapshots away from not just customer admins, but potential ransomware or malware, right? You know, if you look at the most recent ransomware attacks that have hit the industry, they've gotten more and more sophisticated where the first action, a lot of these ransomware pieces of software taking are going after the backups. They go after the backups first and they take down the production environment. Well, we stopped that chain or in the security world what's called the kill chain, we stopped that chain right at the first step by protecting those backups in a way that, you know, no customer admin, whether it's a true admin, a malicious admin, or a piece of software, a malware that's acting as an admin, has the ability to remove that backup. And, you know, that's a capability that's actually become one of our most popular and most quickly adopted features across the portfolio. >> That's key. I saw that. I was reading some reports recently about the focus of ransomware on backups and the fact that you talked about it, it's becoming more sophisticated. It's also becoming more personal. So as data volumes continue to grow and companies continue to depend on data as competitive advantage differentiators and, of course, a source of driving revenue, ensuring that the backups are protected, and the ability to recover quickly is there is that is table stakes, I imagine for any organization, regardless of industry. >> Absolutely, and I think, you know, I think overall, if we look at just the state of data protection, whether it's protecting against security threats or whether it's protecting against, you know, infrastructure failures or whatnot, I would say that the state of data protection has evolved considerably over the last five years, right? You go back 5, 10 years and people are really fixated on, "Hey, how quickly can I back here? How quickly can I back this environment up, and how can I do it in a most cost-effective manner?" Now people are much more focused on, "Hey, when something goes wrong, whether it's a ransomware attack, whether it's a hurricane that takes out a data center, I don't really care what it is." When something goes wrong, how quickly can I get back online because chances are, you know, every customer now is running an online service, right? Chances are, you've got customers waiting for you. You've got SLAs, you've got transactions that can't complete if you don't get this environment back up. And we've seen this, you know, throughout the industry over the last couple of years. And so, you know, I think that maturing understanding of what true data protection is is something that has A, driven, you know, a new approach from customers to and a new focus on this area of their infrastructure. And B I think it is also, you know, found a new place for, you know, performance and reliability, but really all of it, the properties of, you know, Pures products in this space. >> Last question, Rob, for you, give me an example, you can just mention it by industry or even by use case of a joint AWS Pure customer where you're really helping them create a very successful enterprise-grade hybrid cloud environment? >> Yeah, no, absolutely. You know, so we've got countless customers that, you know, I could point to. You know, I think one that I would or one space that we're particularly successful in that I would highlight are, you know, SAS companies, right? So companies that are, you know, are building modern SAS applications. And in one particular example I can think of is, you know, a gaming platform, right? So this is a company that is building out a scale-out environment, you know, is a very rapidly growing startup. And certainly is looking to AWS, looking to the public cloud environments, you know, as a great place to scale. But at the same time, you know, needs more capabilities than, you know, are available in the container storage for, you know, infrastructure that was available in the public cloud environment. They need more capabilities to be able to offer this global service. They need more capabilities to, you know, really provide the 24 by 7 by 365 around the world service that they have, especially dealing with high load bursts in different GEOS and just a very, very dynamic global environment. And so this is an area where, you know, we've been able to, you know, help the customer with Portworx. Be able to provide these capabilities by augmenting that AWS or the cloud environment is able to offer, you know, with the storage level replication and high availability and all of the enterprise capabilities, autoscaling, performance management, all the capabilities that they need to be able to bridge the service across multiple regions, multiple environments, and, you know, potentially over time, you know, on-premise data center locations as well. So that's just one of many examples, you know, but I think that's a great example where, you know, as customers are starting out, the public cloud is a great place to kind of get started. But then as you scale, whether it's because of bursty load, whether it's because of a data volume, whether it's because of compute volume and capacity, you know, customers are looking for either more capabilities, you know, more connectivity to other sites, potentially other cloud environments or data center environments. And that's where a more environment or cloud agnostic infrastructure layer such as Portworx is able to provide comes in very handy. >> Got it. Rob, thanks so much for joining me on the program today at re:Invent, talking about the Pure AWS relationship, what's going on there and how you're helping customers navigate, and then a very fast-paced, accelerating hybrid world. We appreciate you coming back on the program. >> Great, thanks for having me. Good to see you again. >> Likewise. Good to see you too. Per Rob Lee, I'm Lisa Martin. You're watching theCUBES continuous coverage of AWS re:Invent 2021. (calm music)
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and largest hybrid tech events of the year Good to see you again, Lisa, stalking you on LinkedIn. on your appointment and for all the great but I'd love to see what you is that customers are really, you know, in the hybrid cloud You know, we're also, as you know, the focus being on data. of that, you know, newer, you know, we've got And so this is an area where, you know, and the fact that you talked about it, is something that has A, driven, you know, But at the same time, you know, We appreciate you coming me. Good to see you again. Good to see you too.
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Micah Coletti & Venkat Ramakrishnan | KubeCon + CloudNativeCon NA 2021
>> Welcome back to Los Angeles. TheCUBE is live. I can't say that enough. The cube is live. We're at KubeCon Cloud Native Con 21. We've been here all day yesterday, and today and tomorrow I'm talking with lots of guests, really uncovering what's going on in the world of Kubernetes. Lisa Martin, here with Dave Nicholson. We've got some folks. Next we're going to be talking about a customer use case, which is always one of my favorite things to talk about. Please welcome Micah Coletti, the principal platform engineer at CHG healthcare, and Venkat Ramakrishnan VP of products from Portworx by Pure Storage, guys welcome to the program. >> Thank you. >> Happy to be here. >> Yeah. So Micah, first of all, let's go ahead and start with you. Give the audience an overview of CHG healthcare. >> Yeah. So CHG healthcare, we're a staffing company. So we try like a little companion. So our clients are doctors and hospitals, so we help staff hospitals with temporary doctors or even permanent placing. So we deal with a lot of doctors, a lot of nursing and we're a combination of multiple companies. So CHG is the parent. So, and yeah, we're known in the industry as one of the leaders in this field and providing hospitals with high quality doctors and nurses. And, you know, our customer service is like number one, and one of the things our CEO is really focused on is now how do we make that more digital? How do we provide that same level of quality of service, but a digital experience as rich for her. >> I can imagine it was a massive need for that in the last 18 months alone. >> COVID definitely really raised that awareness up for us and the importance of that digital experience and that we need to be out there in the digital market. >> Absolutely. So you're a customer port works by pure storage, we're going to get into that, but then Venkat talk to us about what's going on, the acquisition of port works by pure storage was about a year ago. Talk to us about your VP of products what's going on. >> Yeah, I mean, you know, first of all, I think I could not say how much of a great fit for a Portworx will be part of pure storage, it's, pure itself is a very fast moving, large startup that's a dominant leader in the flash and data center space, and, you know, pure recognizes the fact that Kubernetes is the new operating system of the cloud is not how, you know, it's kind of virtualizing the cloud itself, and there's a, you know, a big burgeoning need for data management and Kubernetes and how you can kind of orchestrate workloads between your on-prem data centers and the cloud and back. So Portworx fits right into the story as complete vision of data management for our customers, and it's been phenomenal. Our business has grown as part of being part of a pure, and you know, we're looking at launching some new products as well, and it's all exciting times. >> So you must've been pretty delighted to be acquired as a startup by essentially a startup because, because although pure has reached significant milestones in the storage business and is a leader in flash storage still that that startup mindset is absolutely unique. That's not, that's not the same as being acquired by a company that's been around for a hundred years seeking to revitalize itself. >> Absolutely. >> Can you talk a little bit about that aspect? >> Yeah, So I think, you know, purist culture is a highly innovation-driven and it's a very open, flat culture, right? I mean, it's, everybody in pure is accessible. It can easily have a composition with folks and everybody has his learning mindset and Portworx is and has always been the same way. Right? So when you put these teams together, if we can create wonders, I mean, we right after the acquisition, just within a few months, we announced an integrated solution that portworx orchestrates volumes and file shares in pure splash products and then delivers as an integrated solution for our customers, and pure has a phenomenal cloud-based monitoring and management system called pure one that we integrated well into. Now, we're bringing the power of all of the observability that pure's customers are used to for all of the corporate customers, and I've been super happy, you know, delegating that capability to our customers and our customers are delighted. Now they can have a complete view all the way from Kubernetes app to the flash. and I don't think any one company in the planet can even plan they can do that. >> I think it's fair to acknowledge that pure one was observability before observability was a word that everyone used regularly. >> Yep. >> Sounds very interesting. >> Micah Talk to us about, obviously you are a customer. CHG is a customer of Portworx now Portworx by Pure Storage. Talk to us about the use case. What, what was the compellent? Was there a compelling event and from a storage perspective that led you to Portworx in the first place. >> So we beat, they began this, our CEO base came to the vision, we need to have a digital presence we need enhances. and this was even before COVID. So they brought me on board and my, my manager read glossary. We basically had this task to, how are we going to get out into the cloud? How are we going to make that happen? And we chose to follow a very much a cloud native strategy and the platform of choice, I mean, it just made sense with Kubernetes. And so when we were looking at Kubernetes, we were starting to figure out how we're doing. We knew that data is going to be a big factor. You know, being a, provide data. We're very much focused on an event driven. We're really pushing to event driven architecture. So we leverage Kafka on top of Kubernetes, but at the time we were actually leveraging Kafka with a MSK down, out in AWS, and that was just a huge cost to us. So I came on board, I had experienced with Portworx, a prior company before that, and I basically said, we need to figure out a great storage relay overlay. and the only way to do is we got to have high performance storage, we've got to have secure. We got to be able to backup and recover that storage. And the Portworx was the right match. And that allowed us to have a very smooth transition off of MSK onto Kubernetes saving us a significant amount of money per month, and just leverage that already existing hardware that our existing compute memory and just, and the, and move right to Portworx. >> Leveraging your existing investments. >> Exactly. >> Which is key, >> Very key, very key so. >> So how common are the challenges that when you guys came together with CHG, how common are the challenges? >> It's actually a, that's a great question. You know, this is, you know, I'll tell you the challenges that Micah and his team are running into is what we see a lot in the industry where people pay a ton of money, you know to other vendors are, you know, especially in some cases use some cloud native services, but they want to have control over the data. They want to control the cost and they want higher performance and they want to have, you know, there's also governance and regulatory things that they need to control better. So they want to kind of bring these services and have more control over them. Right? So now we will work very well with all of our partners, including the cloud providers, as well as, you know, on-prem and server vendors and everybody, but different customers have different kinds of needs. And Portworx gives them that flexibility. If you are a customer who want, you know, have a lot of control over your applications, the performance, the latency, and want to control costs very well and leverage your existing investments Portworx can deliver that for you in your data center. Right now, you can integrate that with pure slash and you get a complete solution, or you want to run it in cloud, and you still want to have leverage the agility of the cloud and scale Portworx delivers a solution for you as well. So it kind of not only protects their investment its future proves their architecture, you get future proving your architecture completely. So if you want to tear the cloud or burst the cloud, you have a great solution that you can continue to leverage >> Micah, when you hear future-proof and I'm a marketer. So I always go, I love to know what it means to different people. What does that mean to you in your environment? >> My environment. So a future-proof means like one of the things we've been addressing lately, that's just a real big challenge. And I'm sure it's a challenge in the industry, especially the Q and A's is upgrading our clusters. The ability to actually maintain a consistent flow with how fast Kubernetes is growing, you know, they're, they they're out. I think he cast, we leverage the cast. So it's like 121 or 122 now, and that effort to upgrade a cluster, it can be a daunting one. With Portworx, we actually were able to make that to where we could actually spin up a brand new cluster. And with Portworx shift, all our applications, services, data migrated completely over, Portworx handles all of that for us and stand up that new cluster in, in less than a day. And that effort, I mean, it would take us a week, two weeks to do so, not even man hours and time spent there, but just the reliability of being able to do that in the cost, you know, instead of standing up a new cluster and configuring it and doing all that and spending all that time, we can just really, we move to what we call blue green cut-over strategy. And Portworx is an essential piece of that. >> So Venkat, is it fair to say that there are a variety of ways that people approach Portworx from a value perspective in terms of, I know that one area that you are particularly good in is the area of backups in this environment, but then you get data management and there's a third kind of vector there. What is the third vector? >> As all of the data services, >> Data services, >> Yeah Like for example, deep database as a service on any Kubernetes cluster feed on your cloud or your on-prem data centers. >> Which data, what kind of databases are you talking about? >> I mean we're talking about anything from Reddit Kafka, Post-stress my sequel console, we are supporting. We just announced something called a Portworx Data Services Offering that essentially delivers all these databases as a service on any Kubernetes cluster that a customer can point to and lets them kind of get the automated management of the database from day one to day three, the entire life cycle, you know, through regular Kubernetes, scoop cuddle experience through APIs and SDKs and a nice slick UI that they can, you know, that's, role-based access control and all of that, that they can completely control their data and their applications through it. And you know, that's the third vector of Portworx office. >> Micah a question for you. So Portworx has been a part of pure storage? You've known it since obviously for several years before you were at CHG, you brought it to CHG. You now know it a year into being acquired by a fast paced startup. Talk to me about the relationship and some of the benefits that you're getting with Portworx as a part of pure storage? >> Well, I mean, one of the things I, you know, when I heard about the acquisition, my first thing was, I was a little bit concerned is that relationship going to change? And when we were acquiring, when we were looking at adopting Portworx, one thing I would tell my management is Portworx is not just a vendor that wants to throw a solution on you and provide some capability. They're a partner. They want to partner with you and your success in your journey and this whole cloud native journey to provide this rich digital experience in the, for not only our platform engineering team, but our Dev teams, but also be able to really accelerate the development of our services. So we can provide that digital portal for our end users. And that didn't change. If anything, that it accelerated that relationship did not change. You know, I came to Venkat with an issue. We just we're, we're dealing with, he immediately got someone on a phone call with me. And so that has not changed. So it's really exciting to see that now that they've been acquired, that they still are very much invested in the success of their customers and making sure we're successful. You know, it's not all of a sudden. I was worried I was going to have to do a whole different support PA process, and it was going to go into a black hole. Didn't happen. They still are very much involved with their customers. >> It's sounds kind of Venkat similar to what you talked about with the cultural alignment. I've known here for a long time and they're very customer centric sounds like one of the areas in which there was a very strong alignment with Portworx >> Absolutely. and Portworx has always taken pride in being customer first company. Our founders are heavily customer focused. You know, they are aligned. They want, they have always aligned. our portraits business to our customers' needs. Now Pure is a company that's maniacally focused on customers, right? I mean, that's all in a pure pounder cars and everybody cared about. And so, you know, bringing these companies together and being part of the Pure team, I kind of see how, how synergistic it is. And, you know, we have, you know, that has enabled us to serve our customer's customers even better than before. >> So I'm curious about the two of you personally, in terms of your, your histories, I'm going to assume that you didn't both just bounce out of high school into the world of Kubernetes, right? So like Lisa and I you're spanning the generations between the world of say virtualization based on x86 architecture, virtualization, where you're not, you don't have microservices, you have a full blown operating system that you're working with. Kind of talk about, you know, Micah with you first talk about what that's been like navigating that change. We were in the midst of that. Do you have advice for others that are navigating that change? >> Don't be afraid of it. You know, a lot of people want to, you know, I call it we're moving from where we're name me. We still have cats and dogs. They have a name that the VMs either whether or not they're physical boxes or their VMs to where it's more like, he'd say cattle, you know, it's like we don't own the OOS and not to be afraid of afraid of that, because change is really good. You know, the ability for me to not have to worry about patching and operating system, it's huge, you know, where I can rely on someone like EKS and, and the version and allow them to, if a CV comes out, they let me know. I go and I use their tools to be able to upgrade. So I don't have to literally worry about owning that OOS and containers as the same thing. You know, you, you know, it's all about being fault-tolerant right. And being able to be changed or where, you know, you can actually roll out a new version of a container, a base image with a lot of ease without having to go and patch a bunch of servers. I mean, patch night was hell and sorry if I could say that, but it was a nightmare, you know, but this whole world has just been a game changer with that. >> So Venkat from your perspective, you were coming at it, going into a startup, looking at the landscape in the future and seeing opportunity. What what's that been like for you? I guess the question for you is more something, Lisa and I talk about this concept of peak Kubernetes, where are we in the wave? Is this just, is this just the beginning? Are we in the thick of it? >> I think I would say we're kind of transitioning from early adopters, early majority phase in the whole, you know, crossing the chasm analogy, right? So I would say we're still early stages of this big wave. That's going to transform how infrastructure is built. Apps are apps are built and managed and run in production. I think some of the pieces, the key pieces are falling in place and maturing. There are some other pieces like observability and security, you know, kind of edge use cases need to be, you know, they're kind of going to get a lot more mature and you'll see that the cloud, as we know today, and the apps, as we know today, they're going to be radically different. And you know, if you're not building your apps and your business on this modern platform, on this modern infrastructure, you're going to be left behind. You know, I, my wife's birthday was a couple of days ago. I was telling the story to my couple of friends is that I, I used another flowers delivery website. They miss delivering the flowers on the same day, right. So they told me all kinds of excuses. Then I just went and looked up a, you know, like door dash, which is delivers, you know, and then, you know, like your food, but there's also flower delivery and door dash and I don't do I door dash flowers to her, and I can track the flower delivery all the way she did not need them, but my kids love the chocolates though. Right. So, and you know, the case in point is that you cannot be in a building, a modern business without leveraging the model tool chain and modern tool chain and how the business is going to be delivered at that thing is going to be changing dramatically. And those kinds of customer experience, if you don't deliver, you're not going to be successful in business. And Kubernetes is the fundamental technology that enables this containers is a fundamental piece of technology that enables building new businesses, you know, modernizing existing businesses. And the 5G is going to be, there's going to be new innovations. It's going to get unleashed. And again, Kubernetes and containers enable us to leverage those. And so we're still scratching the surface on this. It's big. Now, it's going to be much, much bigger, you know, as, as we go into the next couple of years. >> Speaking, scratching the surface, Micah, take us out in the last 30 seconds or so with where CHG healthcare is on institutional transformation, how is Portworx facilitating that? >> So we're, we're right in the thick of it. I mean, we are, we still have what we call the legacy. We're working on getting those, but I mean, we're really moving forward to provide that rich experience, especially with event driven platforms like Kafka and Kubernetes and partnering with Portworx is one of the key things for us with that. And AWS along with that. But we're a, and I remember I heard a talk and I can't, I can't remember her name, but he talked about how, how Pure Kubernetes is sort of like the 56K modem, right. You're hearing it and see, but it's got to get to the point where it's just there. It's just the high-speed internet and Kelsey Hightower. That's great. But yeah, and I really liked that because that's true, you know, and that's where we are. We're all in that transition where we're still early, it's still at 50. So you still want to hear note, you still want to do cube CTL. You want to learn it the hard way and do all that fun stuff. But eventually it's going to be where it's just, it's just there. And it's running everything like 5G. I mean, stripped down doing micro, you know, Kate's things like that. You know, we're going to see it in a lot of other areas and just periphery and really accelerate the industry in compute and memory and storage, and. >> Yeah, a lot of acceleration. Guys thank you. This has been a really interesting session. I always love digging into customer use cases. How CHG is really driving its evolution with Portworx. Venkat, thanks for sharing with us, What's going on with Portworx a year after the acquisition. It sounds like all good stuff. >> Thank you. Thanks for having us. >> Pleasure. All right. For Dave Nicholson, I'm Lisa Martin. You're watching theCUBE live from Los Angeles. This is our coverage of KubeCon Cloud Native Con 21.
SUMMARY :
in the world of Kubernetes. and start with you. and one of the things our CEO in the last 18 months alone. and that we need to be out Talk to us about your VP of and there's a, you know, So you must've been pretty Yeah, So I think, you know, I think it's fair to that led you to Portworx and the only way to do is we You know, this is, you know, What does that mean to and that effort to upgrade a cluster, I know that one area that you feed on your cloud that they can, you know, that's, and some of the benefits the things I, you know, to what you talked about and being part of the Pure the two of you personally, and operating system, it's huge, you know, I guess the question for phase in the whole, you know, and I really liked that Yeah, a lot of Thanks for having us. This is our coverage of
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Michael Ferranti, Pure Storage
(upbeat introductory music) >> Welcome back to VMworld 2021. My name is Dave Vellante and right now we're going to talk to one of VMware's partners and unpack how containers and cloud native development processes and tools are changing the way we think about managing storage. And specifically, we're going to dig into the partnership between VMware and Portworx company acquired by Pure Storage last September. And with me is Michael Ferranti, who's a senior director of product marketing at Portworx, which as said, is now part of Pure Storage. Michael, welcome back to theCUBE. Good to see you again. >> Hey, great to be here. Thanks for having me. >> Now, Michael, if you're in storage, you got to partner with VMware. So that's always been an important relationship for Pure, and of course that's carried over to Portworx, but how does Portworx work with VMware? Where does it fit within the VMware ecosystem? And, and, you know, what's your point of view on, on VMware's Kubernetes play? We'll, we'll come back to that, but, but how do you fit in? >> How do we fit in yet? Yeah, that's a great question. So, you know, customers who are building modern applications are often doing it on Kubernetes platforms and VM-ware has a fantastic Kubernetes platform with Tansu and, you know, customers when they run applications that have data on Kubernetes, they have certain requirements around data protection around data security, data mobility, and Portworx has a platform that solves those problems for customers on any Kubernetes platform in regardless of infrastructure. So, so a VMware customer is saying, you know what? I love the idea of being able to run Tansu across my on-prem data center and my cloud footprint. And I want to move my databases, or between those environments, or, you know, maybe just make a backup of my database and put it in the cloud. Well, when they add Portworx into their Tansu environment, they get the ability to do those types of things, data protection, data mobility. And so we help customers expand their Tansu footprint by solving the requirements that come along with modern applications. >> Yeah. And that's important because as we've covered extensively in theCUBE in the early days of containers, well containers have been around forever, but the, the early days of modern containers, if you will, you know, the applications, the data was a femoral kind of throw away if you will, but, but over time it's become more, more stateful requiring better security and governance and recovery. And the like, so Michael, what's your point of view on VMware's Kubernete play, you talked about Tansu, it's a big part of the strategy. It's an ongoing topic of conversation in the community and there's other solutions of course, like OpenShift, which, which also runs on VMware. What's your perspective on VMware's progression? How they're innovating with Kubernetes orchestration specifically? >> Well, I think VMware is making a lot of smart moves and you know, other players on the market should not buy a discount. I think, you know, there's a lot of interest in Tansu and, you know, we're having conversations and we're kind of expanding our relationship with VMware to solve a broader swath of those use cases. So I think it's going to be a compelling offer in the market. That's what makes this ecosystem so fun is that there is, you know, there are multiple, there are multiple solutions from the cloud providers, from the kind of independent kind of non-cloud associated platform vendors like VMware or Red Hat, but that makes it really exciting. >> Let's back up a bit, maybe talk about some of the big picture trends and maybe some of the challenges. Portworx. You were early on in the management of storage for containers. And I got to say you personally, and I mean that, you created a new distribution channel through developers and dev-op teams who, they became really influential in storage decisions, which they never were before. >> Yep. >> That's a completely new dynamic. So maybe talk about the evolution of storage for containers that you've witnessed. Where do we come from? Where are we today and where are we headed? >> Yeah, I mean, what's interesting is that so on a certain level, what works is a storage, a storage solution for containers. In fact, don't call us the gold standard of Kubernetes storage, really proud of that. Love any time someone calls you a gold standard, but here's the thing, are the people that buy Portworx don't typically buy storage, these are platform, architects, they're dev-ops engineers, and what they need is they need to consume storage the same way that they needed to consume, compute in network, but they're not storage administrators. And so what Portworx did, and other companies in the ecosystem is they've given an API driven self-service experience or what were classically ticket based infrastructure of purchases. And that has accelerated developer's ability to, to build and run applications. And especially with Kubernetes, being able to orchestrate that. And I think now, even within the VMware ecosystem where VMware clearly has strong relationships with the typical infrastructure buyers, but now those infrastructure buyers are seeing what their, what their dev-ops peers are doing. And they're saying, "Hey, we want that too. We want API driven. We want self-service, we don't like tickets anymore than you do." And so being able to kind of solve enterprise level requirements on whether it's around data protection or data security, but in our model that that allows for self-service in, in API driven-ness, that's not a word, really opens up a lot of possibilities. And I think in some ways it's a self-fulfilling prophecy because when you can solve enterprise level requirements, but also provide agility, then people want as much of it as you can possibly provide them. >> So that, that dev-ops mindset that train has left the station. It's got a lot of momentum. It's not, we're not going to flip that. So what happens in your view to the role of that storage admin that you talk about this, he or she does it that they widened their scope? Does that, does their activities, does it evolve? Does there go away? Did they become, did they become ops-dev pros? How do you see that? >> Yeah, it's a, it's a great, it's a great question. And we've been thinking a lot about this. We actually have a new product out called Portworx Data Services. And what it is is it's a database as a service platform for Kubernetes. So imagine you're running Portworx on top of, on top of Tansu and what your, what your company wants to do, what IT wants to do, is provide a service catalog to developers internally, where they can click a button and have an elastic search cluster, or click a button and, you know, Postgres database, what now these storage administrators can actually become a SRES, which is kind of, you know, that's, that's what we call these really senior dev-ops engineers at places like Google and Twitter and Uber, where you're actually responsible for using code and software to run applications. And so with services like PDS there, those individuals can, can uplevel their value within the organization and provide a bigger impact. >> Yeah, I love that. So they're going from basically pulling tickets, you know, putting out fires, dealing with paper cuts to actually having a much more strategic role within the organization. >> Exactly. From infrastructure to applications. I mean, applications is where the business value always is, and you need agile infrastructure in order to run agile applications. But if you only solve, if you only have agile infrastructure, then you still haven't solved a business problem and PDS is enabling our customers to solve those real business problems. >> Well, that leads me into my next question, because a lot of organizations of course have renewed their focus on digital drive. Every organization has, has no choice if you're not digital business, you're out of business. But, but what I mean there is we were kind of forced into digital last year and, and now organizations are stepping back and they're being more planful. So there's an emphasis on modernizing infrastructure and applications. What's the role that you see of Kubernetes and VMs in that shift to modernizing the, the infrastructure apps and the business? >> Yeah. And so what we saw in the pandemic is companies that had to do more with less. And despite that those that adopted Kubernetes were able to accelerate application development, they were able to scale their applications faster. In fact, we have one customer, Roblox, a massively popular online gaming platform for kind of, you know, a tween age kids. They actually IPO-D during the pandemic in the first week that kind of that March timeframe, the beginning of the pandemic, they scaled in a single month, what they had scaled in the entire previous year. And the only way they were able to do that was with these modern architectures. So companies have had firsthand experience saying, okay, when we, when we build cloud native, when we use microservices, when we use Kubernetes, we can scale faster, we can get to the market quicker. And so let's keep those learnings and let's accelerate them. And so, you know, the reason we're doing a pure validated design with, with, with Tansu and Portworx is to help the VMware ecosystem take advantage as well of those modern architectures so that they can get the benefits, not just of the agile infrastructure stack provided by VMware, but also the, the applications here that goes along with it. >> So, I mean, you made the point before, it's all about the applications and take that further. It's all about the, the value that you, the time to value that you can get out of deploying applications. So based on what you just said about those with, versus those without, during the pandemic, that begs the question, why wouldn't everybody have done that? So the question is what are the biggest challenges that you're seeing in terms of adopting and deploying Kubernetes in production? >> Yeah. So actually I have some data that I can share on us. We just did a survey of 500 IT pros across the US and UK with significant knowledge of their company's Kubernetes strategy who are currently running data services on Kubernetes. And so we asked them, "how's that going for you?" And what they told us is basically what I, what I just said earlier that they're 55% can get apps to market faster. 50% of their developers are more, more efficient. And actually a third of those say in addition, we're actually able to reduce our, our IT infrastructure costs. But why? Why isn't everybody doing it? And as we ask those questions and they're struggling with business requirements around backup and recovery, data mobility, data security. And I think that is that's the missing piece, which is when you can figure it out. And, you know, if you're Uber or you're, you know, you're Facebook, you can hire engineers to figure anything out, right? Given enough time and budget, you can solve anything with computers, but for the vast majority of organizations, they need a solution to enable them to have the same outcomes as the companies who can build everything themselves. And so with, you know, with Portworx Data Services by, by adding Portworx into your Tansu environment, you actually get kind of quote unquote for free, a lot of those business requirements that are, that are holding back enterprise adoption of critical applications within the Kubernetes ecosystem. And as a result, then you can accelerate a larger portion of your application portfolio. >> Hey Michael, so one of the good things about virtual events, particularly VMworld, is you don't have to fly out on a Saturday, a Sunday and come back on a Friday. The flip side of that is you don't get the hallway track, you know, so it's an awesome event. It really kind of kicks off the fall season. So help the audience. What are you looking for at VMworld 2021 that's relevant to your space? >> Yeah, it's a great question. I mean, I'm interested in anything that really kind of, you know, helps customers figure out how to really embrace hybrid and multi-cloud. I mean, it feels a little bit like it's, it's the infrastructure week of the political world that it's all, we're always talking about it, but it's never happening, but I'm actually seeing a lot of, a lot of movement to suggest both in our own customer base as well on new products that are coming to market that are really helping customers take advantage of this multi and hybrid cloud world. So I think it's really happening. So I'm looking for announcements around that. I'm also always interested in security because I think, you know, the online world is just a more and more dangerous place every day, whether it's ransom ware attacks or other more traditional security threats. And so I think, you know, as a community, we need to figure out ways in which we can both enable customers to move faster, deliver apps more quickly, scale them more quickly, but also make them more secure. And that's why it was really hard to see on our survey that when people apply automation through platforms like Tansu or Kubernetes more broadly, that they actually get security benefits in addition to kind of the, you know, the scale and the productivity benefits. So I'm looking for more announcements to come out on that front as well. >> If I could follow up on that, because historically the more secure you are, the less flexibility you have, the reverse is true. The more flexibility you give users, the less secure they are. Now, I'm hearing that that may not apply in the case of, well, actually, probably the answer is it probably does apply in the case of Kubernetes and containers, but that's why they need Portworx. But, but square that circle for me, because. >> Yeah, so it, there is usually a trade-off it's, you know, we really value security, so we're going to slow down and we're going, going to take a very, you know, progressive approach to rolling out changes to securing access, to limiting, you know, who can have access to data, et cetera. The, the flip side is, you know, it's move fast and break things, kind of the mantra of Silicon valley, which, you know, you, you say that to a financial institution on the east coast, and they're going to kind of roll your eyes and say, "what are you smoking?" So I, there is a way to solve it and computers are, can, can take the very, very deliberate approach except they do it extremely fast. So it doesn't look as deliberate. So basically what I'm saying is you can build in security best practices, but then use fleets of servers to run all of those checks, to make sure that the person who is trying to access the system is the one in my enterprise off system that should be able to access that system. And so you can basically get manual people-based checks out of the way, because you're leveraging automation that is doing those tests. It's not like we're, we're, we're letting things be open. It's just, we're leveraging computers or the things that they're really good at. And that's how you square that circle, which automation enables you to put in place more checks than you can do manually, but they happen a lot faster. And so you end up getting the best of both worlds and kind of breaking this longstanding tension between agility and security. >> And in a key linchpin of that, I'm assuming is APIs that allow you to connect to whatever the best of breed, identity governance and access management system you want to use. >> Exactly. So we have one example is we have Key-X Secure. So this is all about role based access controls and encryption for your mission, critical data that's running on convenience. Well, we have APIs for that and we, and, you know, we build it into things like Portworx Data Services. And build it into things like our storage boxes. So all a dev-ops engineer has to do is say, yeah, I want this app to be secure, meaning encrypted, and that's going to follow my role based access controls that I'm defining in my corporate off system. And then it's automatically applied. That's really, the key is something is only secured if you actually do it. And a lot of times, because it's so cumbersome, either developers look for work-arounds, or they just, they basically don't do it. It gets bolted on at the end. The kind of phrase of art within the security shift left bring more of that stuff earlier. But I think it applies not just to security, but also to data protection, to data mobility. Let's build all of that stuff in right from the beginning. And that's one of the big design principles of Portworx. >> One of the discussions we're always having is, okay, we've seen this rapid shift to digital. This has so many ripple effects what's permanent. So what are the big changes or trends that you think are going to be permanent or will dominate not just VMworld this year, but, but the themes for the coming years. >> Yeah. So what genies are out of the bottle, and I think a big one is just from an architectural perspective, this new to microservices. I mean, it just, it makes so much sense for so many reasons. You know, how often do we, any of us get a maintenance notification anymore from a consumer service that we got, we use, whether it's, you know, restaurant delivery, whether it's, you know, streaming, whether it's even, you know, you know, health, a health app that we're using, we don't, but that's very common in the enterprise that you would shut down. You know, the ERP system for, you know, three days, you know, every six months to do an update. So that stuff is going away. And the way in which we no longer have to issue those notifications is we have microservices that can be independently updated that can use kind of specialized tooling. That makes sense for the job. So I have an app that really needs the indexing capabilities of elastic search. Versus I have an app that needs the very quiet, fast data processing of the Santra. And so the development teams can be more independent for one another, have less dependencies develop applications faster and get those products to market faster. And I think the, the pandemic has demonstrated how, you know, I'll say Amazon wasn't successful because of the pandemic. And a lot of people say, oh, well, of course they sell online. So this pandemic was a boom for them. Well, they actually created architectures that were able to withstand the massive increase in demand that they got. Our customer Roblox is another example. If they did not have those, those same, those architectures that enable them to scale at those levels, then I, you know, Roblox wouldn't have been able to IPO because they would've just been a story about everybody wanted to play Roblox, the website crashed. End of story. So it's about building architectures that allow you to take advantage of this movement towards digital. And I don't think that's going away, but this is where the solutions like Tansu come in, you know, folks don't know how to do it. And they need platforms that make it easy. They need platforms that enable them to secure their data, to make it available, to protect it. And so, you know, combinations of like, Portworx and Tansu really solve some of the issues that come up in this, this shift to microservices. >> Michael, great stuff, really appreciate your perspectives. And thanks for coming back on theCUBE. >> Yeah, my pleasure anytime. And hopefully we'll be able to do it in person one of these days. >> I hope so. All right. Hey, thank you for watching everybody. This is Dave Vellante. You're watching the continuous coverage of theCUBE's coverage of VMworld 2021. Keep it right there. (upbeat music) (upbeat music) (upbeat music)
SUMMARY :
Good to see you again. Hey, great to be here. And, and, you know, what's with Tansu and, you know, And the like, so Michael, of smart moves and you know, And I got to say you personally, So maybe talk about the evolution And so being able to kind admin that you talk about this, SRES, which is kind of, you know, that's, pulling tickets, you know, and you need agile infrastructure What's the role that you see And so, you know, the time to value that you you know, you're Facebook, The flip side of that is you And so I think, you know, as a community, the more secure you are, The, the flip side is, you know, APIs that allow you to connect to and we, and, you know, One of the discussions And so, you know, combinations of like, And thanks for coming back on theCUBE. to do it in person one of these days. Hey, thank you
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Pure//Launch | Pure Storage
(electronic music) >> The cloud is evolving. You know, it's no longer just a set of remote services accessed through a public cloud. Rather, it's expanding to on-premises, to multiple premises, across clouds, and eventually out to the edge. The challenge for customers is how to treat these locations as one. The opportunity for technology companies is to make that as simple as possible from an operational perspective. Welcome to this CUBE program where we're featuring Pure Storage in its latest innovations in bringing infrastructure and applications more closely together, fusing them, if you will. And today, we have a two-part program. First, we're going to hear from Rob Lee who's the CTO of Pure Storage and then my colleague John Walls is going to talk to Scott Sinclair of Enterprise Strategy Group. Scott will provide his expert analysis on infrastructure modernization and what to expect in today's changing world. So joining me right now is Rob Lee, CTO of Pure Storage. Welcome, Rob, good to see you. >> Good to see you again too, Dave. >> So take us through the announcements from today at a high level. What's most exciting about what you're delivering? >> Yeah, absolutely. So as you know, many announcement today, many things to discuss. But overall, I think what's most exciting is it's the expansion of our ability to help customers along the modern data journey. We've always thought of the journey to modern data as being formed by three pillars, if you will, certainly, modernizing infrastructure, modernizing operations and applications. And today's announcements are really in that kind of middle category of, like you said, bringing infrastructures and applications a lot more closely together. We've been modernizing infrastructure since day one, probably, people best know us for that and today's announcements are really about tackling that operations piece, bringing infrastructure and code and applications more closely together. So when we think about Pure Fusion, for example, that's really a huge step forward in how we're enabling our customers to manage large fleets of infrastructure, products, and components to deliver those services in a more automated, more tightly-integrated, seamlessly transparently delivered way to the applications that they serve, whether these services are being delivered by many different arrays in one location, many different arrays in different data center locations, or between the premise, on-premise environment and the cloud environment. Likewise, on the application front, when we think about today's announcements in Portworx Data Services, that's really all about how do we make the run and operate steps of a lot of the application building blocks that cloud-native developers are using and relying on, the database applications that are most poplar in open source, Cassandra, Mongo, so on and so forth, how dow we make the run and operate pieces of those applications a lot more intuitive, a lot more easily deployed, scaled, managed, monitored for those app developers? And so a ton of momentum. It's a big step forward on that front. And then right in the middle, when we think about today's announcements in Pure One, that's really all about how do we create more visibility, connecting the monitoring and management of the infrastructure running the apps and bring those closer together? So when we think about the visibility, we're now able to deliver for Portworx topologies allowing developers and DevOps teams to look at the entire tech stack, if you will, of a container environment from the application to the containers, to the Kubernetes cluster, to the compute nodes, all the way down to the storage, and be able to see everything that's going on, the root cause of any sort of problems that come up, that again, that's all in service of bringing infrastructure and applications a lot more closely together. So that's really how I view it and like I said, that's really the next step in our journey of helping customers modernize between infrastructure, operations, and their applications. >> Okay, so you got the control plane piece which is all about the operating model, you've got Pure One, you mentioned that which is for monitoring, you've got the Portworx piece which brings sort of development and deployment together in both infrastructure as code and better understanding of that full stack of, like you say, from applications through the clusters, the containers, all the way down to the storage. So I feel like it's not even the storage anymore. I mean, it's cloud. (chuckling) >> It is and you know, I chuckle a little bit because at the end of the day, we deliver storage but what customers are looking for is, and what they value and what they care about is their data. Now obviously, the storage is in service of the data and what we're doing with today's announcements is, again, just making it, extending our reach, helping customers work with their data a couple more steps down the road beyond just serving the bits and bytes of the storage but now getting into how do we connect the data that's sitting on our storage more quickly, get it, you know, in the hands of developers and the applications more seamlessly and more fluidly across these different environments. >> How does this news fit into Pure's evolution as a company? I mean, I don't see it as a pivot because a pivot's like, okay, we're going to go from here and now we're doin' this? >> Rob: Yeah, we were doing this, now we're doing that, right. >> And so it's more like a reinvention or a progression of the vision and the strategy. Can you talk to that? >> Absolutely. You know what, I think between those two words, I would say it's a progression, it's a next step in the journey as opposed to a reinvention. And again, I go back to, you know, I go back to the difference between storage and data and how customers are using data. We've been on a long-term path, long-term journey to continue to help customers modernize how they work with data, the results they're able to drive from the data. We got our start in infrastructure and just, you know, if you want to do bleeding edge things with data, you're not going to do it on decades-old infrastructure. So let's fix that component first, that's how we got our start. Today's announcement are really the next couple of steps along that journey. How do we make the core infrastructure more easily delivered, more flexible to operate, more automated in the hands of not just the DevOps teams, the IT teams, but the application developers? How do we deliver infrastructure more seamlessly as code? Well, why is that important? It's important because what customers are looking for out of their data is both speeds and feeds, the traditional kind of measures, bandwidth, iOps, latency, that sort of thing, but they're looking for speed of agility. You look at the modern application space around how data's being processed, it's a very, very fast-moving application space. The databases that are being used today may be different than the ones being used three months from now or six months from now. And so developers, application teams are looking for a ton more flexibility, a ton more agility than they were three, five, 10, 15 years ago. The other aspect is simplicity and reliability. As you know, that's a core component of everything we do. Our core products, you know, our arrays, our storage appliances, we're very well-known for the simplicity and reliability we drive at the individual product level. Well, as we scale and look at larger environments, as we look at customers' expectations for what they expect from a cloud-like service, there's the next level of scale and how we deliver that simplicity and reliability. And what do I mean by that? Well, a large enterprise customer who wants to operate like a cloud, wants to be able to manage large fleets of infrastructure resources, be able to package them up, deliver infrastructure services to their internal customers, they want to be able to do it in a self-service, policy-driven, easy to control, easy to manage way and that's the next level of fleet level simplicity and that's really what Pure Fusion is about is allowing operators that control plane to specify those attributes and how that service should be delivered. Same thing with Portworx, if we think about simplicity and reliability, containers, cloud-native applications, micro services, a lot of benefits there. A very fast-moving space, you can mix and match components, put them together very easily, but what goes hand in hand with that is now a need for a greater degree of simplicity 'cause you have more moving parts, and a greater need for reliability because, well now, you're not just serving one application but 30 or 40 working in unison. And that's really what we're after with Portworx and Portworx Data Services and the evolution of that family. So getting back to your original question, I really look at today's announcements as not a pivot, not a reinvention, but the next logical steps in our long-term journey to help customers modernize everything they do around data. >> Right, thanks for that, Rob. Hey, I want to switch topics. So virtually every infrastructure player now has an as-a-service offering and there're lots of claims out there about who was first, who's the best, et cetera. What's Pure's position on this topic? You claim you're ahead of the pack in delivering subscription and as-a-service offerings in the storage industry. You certainly were first with Evergreen. That was sort of a real change in how folks delivered. What about as-a-service and Pure as-a-service? What gives you confidence that you have the right approach and you're lead in the industry in this regard? >> Yeah, absolutely. I mean, I think of, first and foremost, we think of everything we do at Pure as a service and whether that's delivering products and helping customers to run and operate in an as-a-service model internally, or whether it's Pure taking on more of that run and operate as-a-service, ourselves, with Pure as a service. And so the second part of your question which is what is it that sets us apart, what are we doing differently, what gives us confidence that this is the right path, well, fundamentally, I think the difference is obviously this is a, you know, a hotter topic in the industry of late, but I think the difference is between us and the competitive set is we really look at this as a product and technology-led philosophy and strategy and we have since day one. And I think that's different than a lot of others in the industry who look at it as a little bit more of a packaging exercise between financial services, professional services, wrap it up in T(s) and C(s) and you call it a service. And what do I mean by that? So, you know, if you look internally at Pure, everything we do we think of as a service. We have a business unit organized around it, we have an engineering team, significant resources dedicated to it and building out service offerings. When we think about why this is technology-led, I think of a service. For something to be thought of as a service, it's got to be flexible, it's got to be adaptable. I've got to be able to grow as a customer and evolve as I need, whether that's changing needs in terms of performance and capacity, I've got to be able to do that without being locked into day-one, rigid kind of static some lands of having the capacity planned or plan out what my user's going to look like 18 months from now. I've got to be able to move and evolve and grow without disruption, right? You know, it's not a service if you're going to make me do a data migration or take a down time. And so when I net all that out, what are the things that you need the attributes that you need to be able to deliver a service? Well, you need a product set that is going to be able to be highly malleable, highly flexible, highly evolvable. You need something that's going to be able to cover the entire gamut of needs, whether it's price performance, tiers, you know, high performance capacity, lower cost, price points. You need something that's got a rich set of capabilities whether it's access protocols, file block object, whether it's data protection properties, you know, replications, snapshots, ransomware protection. So you need that full suite of capabilities but in order to deliver it as a service and enable me, as a customer, to seamlessly grow and change, that's got to be delivered on a very tight set of technology that can be repurposed and configured in different ways. You can't do this on 17 different products (chuckling) and expect me to change and move every single time that I have a service need change. And so when I net that out, that puts us in an absolutely differentiated position to be able to deliver this because again, everything we do is based on two core product families, Portworx adds a third. We're able to deliver all of the major storage protocols, all of the data protection capabilities across all of the price performance and service tiers, and we're able to do this on a very tight code base. And as you know, everything we do is completely non-disruptive so all of the elements really add up in our favor. And like I said, this is a huge area of a strategic focus for us. >> So these offerings, they're all part of the service-driven component of your portfolio, is that correct? >> Absolutely, yep. >> Great. You talk all the time about modern data experiences, modern application, the modern data changing the way customers think about infrastructure. What exactly does that mean and how are you driving that? >> Well, I think it means a couple of different things, but if I were to net it out, it's a greater demand for agility, a greater demand for flexibility and optionality. And if we look at why that is, you know, when I talk to customers, as they think about an infrastructure, largely, they think about their existing application demands and needs, what they're spending 90% of their time and budget dealing with today, and then the new stuff that they're getting more and more pressured to go off and build and support which is oftentimes the more strategic initiatives that they have to serve, so they're kind of balancing both worlds. And in the new world of modern applications, it's much more dynamic, meaning the application sets that are being deployed are changing all the time, the environments and what the infrastructure needs to deliver has to change more quickly in terms of scaling up, down, growing, it has to be a lot more elastic, and has much more variance. And what I mean by that is you look at a modern, cloud-native, micro services architecture-type application, it's really, you know, 20, 30, 40 different applications all working in concert with one another under the hood. This is a very different infrastructure demand than your more traditional application set. Back in the day, you have an Oracle application, you go design an environment for that. It's a big exercise, but once you put it in place, it has its own lifecycle. These days with modern applications, it's not just one application, it's 20 or 30, you've got to support all of them working in unison, you don't want to build separate infrastructures for each piece, and that set of 20 or 30 applications is changing very rapidly as open source ecosystem moves forward, as the application space moves forward. And so when customers think about the change in demands and infrastructure, this is kind of what they're thinking about and having to juggle. And so that, at the end of the day, drives them to demand much more flexibility in their infrastructure being able to use it for many different purposes, much more agility being able to adapt very, very quickly, and much more variance or dynamic range, the ability to support many different needs on the same set of infrastructure. And this is where we see very, very strong demand indicators and we're very invested in meeting these needs because they fit very well with our core product principles. >> Great, thank you for that. I really like that answer because it's not just a bunch of slideware mumbo-jumbo. You actually put some substance on it. Rob, we're going to have to leave it there. Thanks so much for joining us today. >> Thank you. >> And look forward to havin' you back soon. Now, in a moment, Scott Sinclair who's a senior analyst at Enterprise Strategy Group speaks with theCUBE's John Walls to give you the independent analyst's take. You're watching theCUBE, your global leader in high tech coverage. (techno music) >> Agility is what all digital organizations strive for, and for almost the entirety of the enterprise storage industry, agility and storage aren't words you'd often hear together. Since the founding of Pure Storage, we've been laser focused on taking what's painful about traditional enterprise storage and making it better. We imagined a world where consumers self-service the provisioning of their storage resources to match the performance and data protection capabilities that their applications require. No endless back and forth between application owners and storage teams, just true on-demand self-service. At the same time, imagine all of the complex storage management operations required to make this possible being automated through software. From the placement of the initial workload to storage adjusting with the unpredictable needs of an application and seamlessly migrating and rebalancing the fleet as needed, all with zero down time and no manual intervention. And finally, imagine almost limitless scale that adjusts to meet your business' data management needs over time. This is what we believe the future of enterprise storage looks like. >> Today, we are announcing Pure Fusion, a leap forward in enterprise storage, marrying the best parts of the public cloud with the storage experience and capabilities you've come to expect from Pure. By bringing the simplicity and scalability of the cloud operating model with on-demand consumption and automated provisioning, organizations can deliver an enterprise-grade managed, self-service storage model that unifies fleets of arrays and optimizes storage pulls on the fly. End users will be able to rapidly consume volumes, file systems, and advanced data services like replication without waiting for backend manual work making storage hardware truly invisible. And organizations will be able to scale seamlessly across block, file, and object workloads, leveraging the power of the entire Pure Storage family, including FlashArray, Pure Cloud Block Store, FlashBlade, and Portworx. (electronic music) >> It is time to take a look at what Pure's up to from a slightly different perspective. To help us do that is Scott Sinclair who's a senior analyst at the Enterprise Strategy Group. And Scott, thanks for joining us here, on theCUBE. Good to see ya today. >> Great to see you. >> All right, so let's jump into this. First, we'll get to the announcement in just a little bit. First off, in terms of Pure's strategy, as you've been watching this company evolve over years now, how has it evolved? And then we'll go to the announcements and how that fits into the strategy. But first off, let's just take them from your point of view where have they been and how are they doin'? >> You know, many people know of Pure or maybe they don't know of their history as an all-Flash array. I think Pure has always been, ever since they entered the IT industry as a pioneer, they're one of the early ones that said look, we're going all in on the all-Flash array business and a focus on Flash technology. Then they were early pioneers in things like Evergreen and things like storage-as-a-service capabilities for on-premises storage. And the entire time, they've had a really almost streamline focus on ease of use which, you know, from the outside, I think everyone talks about ease of use and making things simple for IT, but Pure has really made that almost like core as part of not only their product and their design but also part of their culture. And one of the things, and we'll get into this a little bit as we talk about the announcements, but, you know, if you look at these announcements and where Pure's going, they're trying to expand that culture, that DNA around ease of use or simplicity, and expanding it beyond just storage or IT operations, and really trying to see okay, how do we make the entire digital initiative process or the larger IT operations journey simpler. And I think that's part of where Pure is going is not just storage but focusing more on apps, operations, and data, and making it easier for the entire experience. >> So how do the announcements we're talking about, well, there're three phases here, and again, we'll unpack those separately, but in general, how do the announcements then, you think, fit into that strategy and fit into their view and your view, really, of the market trends? >> I think one of the big trends is, you know, IT in terms for most businesses is, it's not just an enabler anymore. IT's actually in the driver's seat. We see in our research at ESGU, we just did this study and I'm going to glance over my notes as I'm kind of talking, but we see one of the things is more than half of businesses are identifying some portion of their revenue is coming from digital products or digital services. So data is part of the revenue chain for a majority of organizations according to what we're seeing in our research. And so what that does is it puts IT right in that core, you know, that core delivery model of where the faster IT can operate, the faster organizations can realize these revenues opportunities. So what is that doing to IT organizations? Well first off, it makes their life a lot harder, it makes demands continue to increase. But also, this old adage or this old narrative that IT's about availability, it's about resiliency, it's about keeping the lights on and ensuring that the business doesn't go down, well none of that goes away. But now, IT organizations are being measured on their ability to accelerate operations. And in this world where everything's becoming more, you know, more complex, there're more demands, organizations are becoming more distributed, application demands are becoming more diverse and they're growing in breadth. All of this means that more pressure is falling not only on the IT operations but also on the infrastructure providers like Pure Storage to step up and make things even simpler with things like automation and simplification which, you know, we're going to talk about, but to help accelerate those operations. >> Yeah, I mean, if you're DevOps these days, I mean, and you're talkin' about kind of these quandaries that people are in, but what are these specific challenges do you think, on the enterprise level here, that Pure is addressing? >> Well so for example, you talked about developers and driving into that in particular, I want to say let's see, glance at my notes here, about two-thirds of organizations say they're under pressure to accelerate IT initiatives due to pressures specifically from DevOps teams as well as line of business teams. So what does that mean? It means that as organizations build up and try to accelerate either their revenue creation via the creation of software or products, or things of that, that drive, that support a DevOps team, maybe it's improving customer experience for example, as well as other line of business teams such as analytics and trying to provide better insights and better decision making off of data, what that means is this traditional process of IT operations of where you submit a trouble ticket and then it takes, after a few days, something happens and they start doing analysis in terms of basically what ends up being multiple days or multiple weeks, to end up to basically provision storage, it just takes too long. And so in these announcements what we're seeing is Pure delivering solutions that are all about automating the backend services and delivering storage in a way that is designed to be easily and quickly consumed by the new consumers of IT, the developers, the line of business teams via APIs where you can write to a standard API and it goes across basically lots of different technologies and happens very quickly where a lot of the backend processes are automated, and essentially, making the storage invisible to these new consumers. And all of that just delivers value because what these groups are doing is now they can access and get the resources that they need and they don't have to know about what's happening behind the scenes which, candidly, they don't really know much about, right now, and they don't really care. >> Right. (chuckling) That's right. Yeah, what I don't see, what I don't know won't hurt me. And it can, as we know, it can. So let's look at the announcements. Pure Fusion, I think we were hearing about that just a little bit before, earlier in the interview that Dave was conducting, but let's talk about Pure Fusion and your thoughts on that. >> Pure Fusion is what I was talking about a little bit where they're abstracting a lot of the storage capabilities and presenting it as an API, a consistent API that allows developers to provision things very quickly and where a lot of the backend services are automated and, you know, essentially invisible to the developer. And that is, I mean, it addresses where, you know, I kind of talk about this with some of the data that we just, you know, some of our research stats that we just discussed, but it's where a lot of organizations are going. The bottom line is, we used to, in a world where IT services weren't growing as fast and where everything had to be resilient and available, you could put a lot of personnel power or personal hours focused on okay, making sure every box and everything was checked prior to doing a new implementation.and all that was designed to reduce risk and possibly optimize the environment and reduce cost. Now in this world of acceleration what we've seen is organizations need faster responsiveness from the IT organization. Well that's all well and good, but the problem is it's difficult to do all those backend processes and make sure that data's fully being protected or making sure that everything is happening behind the scenes the way it should be. And so this is, again, just mounting more and more pressure. So with things like Pure Fusion what they're doing is they're essentially automating a lot of that on the backend and really simplifying it and making it so storage, or IT administrators can provide access to their line of business, to development teams to leverage infrastructure a lot faster while still ensuring that all those backend services, all those operations still happen. Portworx Data Services also announced and we're hearing it from Dave, for that perspective may be a game-changer in terms of storage. So your take on that and Portworx? >> You know, I really like Portworx. I've been following them ever since prior to the acquisition. One of the things that they were very early on is understanding the impact of micro services on the industry and really, the importance of designing infrastructure around for that environment. I think what they're doing around data services is really intriguing. I think it's really intriguing, first off, for Pure as a company because it elevates their visibility to a new audience and a new persona that may not have been familiar with them. As organizations are looking at, you know, one of the things that they're doing with this data services is essentially delivering a database-as-a-service platform where you can go provision and stand up databases very quickly and again, similar to we talked about fusion, a lot of those backend processes are automated. Really fascinating, again, aligns directly with this acceleration need that we talked about. So, you know, a huge value, but it's really fascinating for Pure because it opens them up to, you know, hey, there's this whole new world of possible consumers that where they're, that they can get experience to really, the ease of use that Pure is known for a lot of the capabilities that Portworx is known for, but also just increase really the value that Pure is able to deliver to some of these modern enterprises. >> And just to add, briefly, on the enhancements that Pure One also being announced today. Your take on those? >> I like that as well. I think one of the things if I kind of go through the list is a lot of insights and intelligence in terms of new app, sizing applications for the environment if I remember correctly, and more, you know, better capabilities to help ensure that your environment is optimized which candidly is a top challenge around IT organizations. We talk about, again, I keep hitting on this need to move faster, faster, faster. One of the big disconnects that we've seen and we saw it very early when organizations were moving to, for example, public cloud services, is this disconnect towards for this individual app, how many resources do I really need and I think that's something that, you know, vendors like Pure need to start integrating more and more intelligence. And that's, my understanding is they're doing with Pure One which is really impressive. >> I hope it's all it takes. Scott, we appreciate the time. Thank you for your insights into what has been a big day for Pure Storage. But thank you again for the time. Scott Sinclair at the Enterprise Strategy Group, senior analyst, there. Let's go back to Dave Vellante now with more on theCUBE. (electronic music) >> Thanks for watching this CUBE program made possible by Pure Storage. I want to say in summary, you know, sometimes it's hard to squint through all the vendor noise on cloud and as-a-service, and all the buzz words, and acronyms in the marketplace. But as I said at the top, the cloud is changing, it's evolving, it's expanding to new locations. The operating model is increasingly defining the cloud. There's so much opportunity to build value on top of the massive infrastructure build-out from the hyperscalers to $100 billion in CapEx last year, alone. This is not just true for technology vendors, but organizations are building their own layer to take advantage of the cloud. Now, of course, technology's critical so when you're evaluating technology solutions, look for the following. First, the ability of the solution to simplify your life. Can it abstract the underlying complexity of a cloud, multiple clouds, connect to on-prem workloads in an experience that is substantially identical, irrespective of location? Does the solution leverage cloud-native technologies and innovations and primitives and APIs or is it just a hosted stack that's really not on the latest technology curve, whether that's processor technology or virtualization, or machine learning, streaming, open source tech, et cetera? Third, how programmable is the infrastructure? Does it make developers more productive? Does it accelerate time to value? Does it minimize rework and increase the quality of your output? And four, what's the business impact? Will customers stand up and talk about the solution and how it contributed to their digital transformation by flexibly supporting emerging data-intensive workloads and evolving as their business rapidly changed? These are some of the important markers that we would suggest you monitor. Pure is obviously driving hard to optimize these and other areas, so watch closely and make your own assessment as to how, what they and others are building will fit into your business. Now as always, this content is available on demand on theCUBE.net, so definitely check that out. This I Dave Vellante for John Walls and the entire CUBE team, thanks for watching, everybody. We'll see ya next time. (soft electronic music)
SUMMARY :
and eventually out to the edge. what you're delivering? and the cloud environment. all the way down to the storage. and bytes of the storage Rob: Yeah, we were doing this, of the vision and the strategy. and that's the next level in the storage industry. and change, that's got to be and how are you driving that? the ability to support have to leave it there. John Walls to give you the and rebalancing the fleet as of the public cloud with at the Enterprise Strategy Group. and how that fits into the strategy. And the entire time, they've had a really and I'm going to glance over my and get the resources that earlier in the interview a lot of that on the backend for a lot of the capabilities And just to add, One of the big disconnects that we've seen Scott Sinclair at the and acronyms in the marketplace.
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