00:00
I'd like to welcome the general manager for the Business Unit for Port works by PR storage. Let me click to a couple of slides here who will be kicking us off. Um Basically, you know, kicking, kicking off the innovation session around Port works. Um And then we get into a discussion with our partner with Red Hat as well with that.
00:28
Welcome. Thank you, sir. Um Delighted to see all of you here. Um You know, you many of you are long term uh pure customers and have been helping pure uh uh you know, work with you to disrupt sort of your storage organizations uh with a lot of the uh flash arrays and flash blades that we've seen.
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Uh what we'd like to talk to you about today is, is uh move that disruption up the stack a little bit and talk about what we can do together to help disrupt the application, uh you know, development portion with the cloud native technologies like uh like port works. So uh to do that, I thought what I would do is, you know, talk a little bit about uh what we're seeing in, in kind of the sphere of innovation.
01:18
OK. And one of the best examples I can use uh for, for innovation is one of our best customers, Roblox. Um many of you know, Roblox, if you have a middle school uh kid, especially um Roblox is a, is a company that in a very short span has achieved major disruption in the gaming industry, something that is not easy to do.
01:41
It's a very, very uh you know, uh uh focused industry with uh with a few people who kind of have achieved success uh in this industry, what Roblox did to achieve success was they, they made several kind of changes in uh in, in the gaming space. First thing they did was really uh change the focus by by narrowing down their, their focus on middle school kids. There was very,
02:10
very specific target that they made. The second thing that they did was they came up with a brand new platform. It's kind of a metaverse platform which had online gaming, social media as well as toys and they put all of that together to create kind of a unique uh uh experience in the metaverse.
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Uh And the third thing they did, which was probably the most significant was they went and allowed their users uh including middle school kids to both build and create games and play their own games. Uh Think about what you know, what we're trying to do is allow developers to do self service, think about the innovation it takes to allow users to create self service uh and to do
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it successfully over and over again, uh very dramatic kind of uh technology changes were part of their uh technology platform as a result of these kind of changes and, and, and uh the innovation that they made both in the business model but also in their technology platform, Roblox has just kind of, you know, skyrocketed, right. And, and in a few years,
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they have achieved two thirds, the uh the uh cap uh you know, market capitalization of a company, electronic arts, that's four times their size. So shows that this type of uh rate of innovation uh pays off a lot. Uh This is not limited to gaming, the pace of innovation is rapidly changing in a lot of other industries. One that many of us are familiar with is Tesla.
03:51
And this is an interesting example, Tesla, of course, use software defined cars essentially to and battery technology to come in and change the landscape of the auto industry with their electric vehicle. Uh And in a short span kind of shot up uh in terms of becoming one of the most valuable companies in the world, but also taking over initially the early phase of the electric car
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market. Now, interestingly enough in the last year or so, a year and a half, they themselves have been disrupted by new innovation coming from other people who've entered the electric car market. So the pace of innovation can both be uh your friend and your, your, your uh you know, undoing if you don't keep up with it.
04:39
Right. One that we all personally are very familiar with in the last few years has been in the, in the uh you know, vaccine space. Uh vaccines typically used to take about 10 years to kind of take some uh you know, a new vaccine from the early research through the through the FDA pipeline for uh for approval um in, in,
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in the last uh uh you know, few years, some of these folks achieved this in a year or 18 months uh by rapidly innovating on the FDA pipeline with, with help from the FDA. Uh but, but essentially shortening that uh and, and, and a bunch of new companies sort of entered the space with uh for uh vaccines with, with the COVID pipeline.
05:26
Uh So, uh you know, some of these are our customers and I'll talk about an example uh of a couple of them as we go along. So what what is happening in, in uh in the, in the world today? Well, my contention is that the innovation cycle has shortened from 10 years several years ago to five to now. I think that the innovation cycle has turned a
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reduced to two years, right? Most people are reinventing themselves uh with the help of technology uh uh or with the help of a new business model in the space of two years. And so uh the pace of, of, of reinvention has changed. A lot of our customers are in this bucket, right?
06:11
They're using uh many, many CEO S turn to their Cio S and say, how can you help me uh use technology to reinvent myself? Right. And as Cio S look at uh uh you know what they're doing in their, in the, on the technology front, there's a lot of different technologies that they're, that they're using from our customers,
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having studied some of our own customers that have uh you know, done a lot of reinventing themselves in the last few years. There's kind of four best practices that, that uh we've observed, right? The first thing that these folks are doing is they actually study their customers and their competitors and identify emerging
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opportunities by really kind of studying the landscape very, very closely. So first thing is, is really uh uh scanning and, and, and, and, and figuring out what the next emerging set of opportunities are. The second thing that uh is, is fairly uh a fairly recent phenomenon is to that, that these companies have all uh created a platform engineering team whose job it
07:23
is to enable their developers and to uh enable innovation. And so the platform engineering team is basically uh a a move forward of the DEV ops movement. I think of it as DEV ops as one long lived platform engineering dev ops used to be a cultural phenomenon, used to be a set of organization, you know, merging development and operations together
07:49
that has advanced. Now it's been so successful that people have now, it has turned into a set of tools and best practices in an organization that's called platform engineering uh largely in the global 2000 but now rapidly, I think happening. Uh platform engineering is becoming a formal organization with dedicated head count, uh dedicated budgets and a clear mandate.
08:16
Uh not to do the innovation themselves, but to enable innovation by by creating a platform where people uh where they create the guard rails, they create the environment for self service, uh very importantly and and via self service to their developers, they allow uh these applications to be developed and deployed really, really fast, right?
08:41
So platform engineering is an enabling organization. Now the content of platform engineering, there's typically two broad categories of technology that are in this platform engineering in the in the new emerging platform. I think of it as sort of the new middleware for uh you know, replacing the old app servers. Some of some of you like if you're if you're
09:04
like me, most of you are pretty young. But if you're like me, you remember the old app server technology, uh you remember Tuxedo, all of these things that were the middleware that enabled uh a lot of innovation in the early nineties. Well now the new middleware is composed of two sets of technologies. First is cloud native technology.
09:25
It's, it's containers, it is uh it is the extensions of uh you know, containers into orchestration layers for both the application uh but also uh kind of a cloud neutral set of layers uh that allow it to be operated both uh both on prem with a cloud operating model or across any multi cloud kind of environment. Uh So there's a bunch of cloud native technologies uh of which port works is one
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you'll hear from our partner openshift that they're clearly a leader in this cloud native stack, right? But the other one is really an emerging A I ready stack and it starts with data services, just modern databases uh that are, you know, post Gras Cassandra, all of these uh with, with added on analytics,
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things like Snowflake if it's in the cloud, but could uh uh on prem as well. And then finally, now uh uh a set of ML and A I technologies and most recently, of course, generative A I, which is really the latest in that stack, which we hear a lot of buzz about, but that A I ready stack is really what allows people to not just get applications deployed faster but to get insight from their data.
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So that's a best practice that we're seeing uh across all of our customers. Almost all of them are doing this. The last thing which is really an interesting, best practice is not to try and swallow this innovation watermelon in one big gulp because you're just not gonna get it. You can't do it, you can't swallow it. Doesn't, doesn't work that way.
11:06
Uh Most of our customers start small with small wins. Uh It could be internal test programs uh that they're doing. Some of them are using it for, for just monitoring, like uh people, a lot of use for containers for, for our customers. They started with just monitoring their stuff and using Prometheus and,
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and, and just seeing that that was their container uh workload, right? So they start small and then they use that momentum from the success of, of being able to start small uh get, get some wins and then use that to leverage up, right? Uh We uh we had uh a customer yesterday, I think uh at,
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at a dinner uh who uh we talked about who uh started uh who was it? Uh Oh Roche, right. They started with uh 50 a few years ago with 50 small apps that they, that they containerize now. They're up to 900. It's a very, very common model, right? Uh And, and uh particularly don't try to kind
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of make this, this big change because change management is hard, right? People uh understand that. And if I actually had to kind of take this, this, this uh uh schema, if you will for success, I would put it in a circle, it comes back and then people are constantly going about the circle. They use the wins they have and the,
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the success they've had with containerization and A I or ML and they say, hey, can I apply to a different uh part of my business or a different part of my work flow? So this is kind of a, a constant uh set of changes that are happening this cycle, this virtuous cycle if you will is what allows people to, to uh get their uh their innovation cycle down. We're, we're,
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we're seeing a bunch of these and I'd like to kind of walk you through a set set of some examples of our customers who have done this. Um one of our uh best customers and, and, and uh somebody we're very happy to be working with is, is Ford. And last uh uh year I visited the uh the Ford assembly line in Detroit. Uh one of many, of course that they have across
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the country, but in this particular assembly line, they built the Ford 1 50 lightning uh electric vehicle, right? Uh very successful uh truck, obviously. And what they've done is is amazing. They've, you know, it's a combination of cloud native technology and A I robotics, right? The combination of those two technologies,
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they have really kind of built a, a marvel of, of modern assembly line uh uh kind of uh technology. So they, they use uh uh port works and open shift turns out uh in several parts of their assembly line uh where they, they speed up uh the processing. But in some other parts, they use A I vision robotics, for example, to do some testing of sub assemblies and carry all
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of that onto a platform again that they've built that they uh store and they, they're able to do visual scanning uh using other tools. So they're doing both uh assembly and test simultaneously at the same time in a continuous flow uh uh thing. It's just, just a, an awesome thing. If you actually get to Detroit, you can go through the Ford experience and,
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and, and do a tour of this. Uh the, the, the results they've achieved are amazing. They're, they, they were building over 15 or almost 1500 trucks uh a day in this, in this plant. And when they have the assembly uh lined rolling a four F 1 50 truck rolls off once every 53 seconds.
15:06
You know, the, the tour guide who was taking us around was so proud. He, he pointed out to us that uh every Ford F 1 50 truck is sold before it's even built before. It's even uh rolls rolls off the and they took us to the parking lot said there's no, no trucks in the parking lot because it, it all gets, get whisked away as soon as it's, it's built,
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it's taken away there's a customer waiting for it somewhere in the, in the, in, in the US, in this case, Ford, as you know, the, the F series trucks have been the number one truck uh for the last 46 years. I mean, it's an amazing record uh for, for the, for the company, so very, very uh proud and happy to be working uh with Ford,
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another uh example uh at coupon just in a, in April. Uh I had dinner with one of the leading quant houses in um uh in Europe, uh the UK based company. And they have uh leveraged uh a cloud native stack to essentially allow and A I to take all of their uh uh
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incredible amounts of data that they get from the market and to provide a uh development ops kind of platform for a bunch of developers so that they can kind of do both high performance data analysis. We're using some high speed servers, but they also use port works so that they can achieve a fail safe kind of model. So they have uh uh it's, it's completely uh uh clusters that are uh
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that uh when they have any failures of, of that data pipeline ports, ensures that that data continues to be available so that they don't uh interrupt their trading. Uh Obviously, that's very time sensitive and, and, and access to that data constantly being updated is, is critical to their success.
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And uh they told us how again, this is a great example of not just use of A I but starting small, they started with a couple of things and then they have now kind of gone to the point where all of their operations have been, have been containerized and, and they're doing high speed trading with that. Um There's a, there's a awesome uh leader called Andrea Mantega.
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I love to say these Italian names um that uh is at credit Suisse first Boston, he's the leader and visionary of their uh platform engineering team and in the last 34 years in partnership with us and again with, I think open shift is a common theme here. Uh He has built out a platform where he's done the very difficult job of taking and lifting and shifting a lot of their existing applications uh and moving them into
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containerized micro services, right? And these are for two things. It's a global payment mechanism uh that they have uh that they've enabled as well as a bunch of mobile apps uh for their platform. And uh over the over a period of time, he's kind of uh uh built a the ability to get his developers now to turn around and add innovation at a
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really rapid pace. Uh We had him come and uh present to our port works team at one of our all hands and he was, he was literally bubbling with pride about uh what he's accomplished, right. He said, uh uh it's, it's this, this cloud native stack and is, is so amazing. I now have a bunch of developers just churning
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out uh the pace of which at which they're able to both develop and deploy. Uh these application changes is astounding. And he uh used us to be able to kind of provide a uh uh complete Dr and back up and all of that so that they can revert back because the change in that step is so fast that they have to always kind of roll back when they have to in that platform, right?
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So great example of innovation uh from, from uh uh from a financial institution, we have many, many banks that are doing the same uh with us. And last and certainly not least I thought I would uh I would point out that we have a number of pharma companies. Um And uh uh certainly we're uh very happy to be involved in a small way in the COVID pipeline.
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Obviously, the, the, the pharma advances were really the cause of, of uh the uh you know, vaccine. But, but the uh pipeline to get the vaccine uh deployed and commercialized is stuff that was cloud native uh in, in to a large extent. And um again, um in this case, we uh we have uh a fortune
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100 company who uh took their uh their, their vaccines to, to market with uh with the help of port works. And what they achieved was two other things. In the meantime, one is they achieved cloud independence and in fact, could operate because they, they needed to be able to operate and move to wherever their uh their developers were uh
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to some of them were available or had cloud access. Some of them didn't. And so they could kind of transport the the same app across any of these things, the container giving them that cloud uh neutrality and portability of being able to move uh the application anywhere. The second thing that they did was, which is kind of interesting.
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Uh and something we're seeing very often, I don't know if it's, if it's true for your organizations, but they achieved the ability to kind of completely get away from VM Ware. Uh and uh not have to pay the tax by, by running a bunch of their stuff on bare metal about a quarter um uh of, of uh the port customers are now running
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containers on bare metal and, and sort of uh you know, not having to pay uh some of the, the tax that uh that they've had to pay in the past. So it's pretty another uh interesting kind of side effect of, of this. Again, something that we were uh very happy and proud of to be working with customers who are achieving this type of results.
21:44
So before I, I go on, let me kind of summarize right about what what the pace of innovation, how do we get to a two year reinvention cycle? So scan the environment, right? Especially your competition and your customers is what our customers are doing. Second thing that they're doing is investing in a platform engineering operation, formalizing the dev ops uh group with a budget with an
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organization with a formal responsibility to make innovation happen inside of. Uh uh uh it, the third thing they're doing is investing in the two areas of technology, a cloud native technology stack as well as a A I ready stack uh which is really about modern databases on up. And then last, they're starting small, you know, I I went through these things like these folks
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did it overnight. They did not, right. Uh Andrea from CS FB took four years to get to where he is. Now, most of these things are multi year programs and you do it by starting small. Don't be ashamed that you only have this, you know, tiny little project that you uh that you're doing with containers because it's, it's, it's the confidence that comes with uh
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practice and with uh with achieving success that other people now can kind of build on what we've seen is it's very non linear, right? The number of applications that start to be containerized is just very, very small, less than 10 in the beginning, but it very rapidly goes to several 100 to thousands in a, in a span of a year and a half or 22 years. Because once people know this thing works,
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then what happens is developers because it's self service, just bring more and more apps themselves. The developers are bringing the apps, you're just running the platform that, that accepts these apps. It's like any platform, right? So um now let me talk about sort of uh uh innovation of a different kind.
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Uh many of, you know, pure or uh long term pure customers, pure works. Our company uh a little over 2.5 years ago and they did that to continue the disruption journey that pure is on. Many of you just heard about how we've been disrupting uh the the the disc market with flash and, and had a series of innovations.
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Uh What what uh port works enables pure to do is move that disruption up to the application layer and, and add the ability to disrupt application development with the help of containers and with the help of uh storage and data persistence for containers. Uh port works uh provides the storage, the uh the uh uh backup uh as well as a disaster recovery. So that not only are our uh containers being
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orchestrated uh but uh via, but with the extension of that, we provide that we're orchestrating the data layer as well. That's sort of uh uh what we do. So combination of containers being orchestrated by uh by, you know, the visual. I have, I'm a visual I, you have the containers being orchestrated by and port works which plugs into uh
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orchestrating the data so that the two always travel together and always available, right? Another company that has disrupted itself several times has been IBM and IBM obviously uh in the mid nineties, uh you might remember, Lou came in and transformed the company from being a mainframe, uh primarily a mainframe company into a services company.
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Uh They bought PWC but uh but, and then transformed that into IBM Global Services, which was a behemoth. It really changed, the business model changed uh changed the, the fact that IBM moved from, from being a computer company to being a solutions company. And in fact, even an outsourcing company with the technology uh coming in uh to, to make that outsourcing uh and consulting,
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you know, successful since then, they added a whole bunch of A I technologies under the Watson umbrella. Uh Lots of different Watson technologies came out of the labs at IBM. And more recently, a Krishna led the transformation of, of the IBM and it's an ongoing transformation into a
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hybrid cloud and A I company. And that's kind of the path they're on on now. And one of the uh biggest, biggest kind of uh catalysts of that change was their purchase of Red Hat uh which they bought uh a few years ago so that they could actually kind of uh become the leader in in hybrid cloud. So we are very uh proud and happy to work uh both that customers,
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but also in, in, in the channel and, and uh with technologies with a Red Hat is a great partner of ours. And what I'd like to do is introduce uh my partner from uh from Red Hat, Steve Hale to come and tell you about the amazing journey for openshift. Great. I appreciate it. Thank you.
27:06
It's great to be here. What you want to the right? Ok. Thanks everybody. It's good to be here today. I feel like I've, I've won the jackpot. Uh We uh we were fortunate enough to be giving the, the breakout award yesterday. So thank you at the Global Partner Forum.
27:23
So that was an exciting thing. And also I got to meet Shaq and have a conversation with him. So that was really cool. I think I'll leave, leave out when I tell the story that it was in the bathroom, but that's ok. So it's really good to be here. Um We recently had a uh uh a Red Hat Summit in Boston.
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Any anybody make it to the Red Hat Summit? Ok, cool. We got a few. That's great. And um one of the cool things I was going through the site reports afterwards and what I noticed was, and this is really um kind of a testament to the depth of the partnership that we have with pure storage and Port works and uh uh the most highly attended um ISV at the
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entire conference was uh was pure storage and Port works. It's really great. So, and uh so I run the North America ISV ecosystem channel for Red Hat. And so I get the, the pleasure and the honor of working uh with some of the top solution isvs um in the industry.
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And the depth of the partnership that we have with pure storage is really a lot of it. To be honest, has really been driven by a lot of the customers who are saying, look, you guys have the leading storage platform, you got the leading distribution of Cotti, you guys really need to work together much more tightly. And there's actually a lot that's been going on in this partnership for years and it really
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comes down to what I call the get to market development of how these partnerships work together. And part of it is really just defining what is our joint product and technology road map together. And, and as a part of that, when we reciprocate in each other's partner program and come together to be able to deliver joint platform solutions.
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Uh part of that is through a certification process that we have. There's a lot of responsibility that we take, take very seriously. And so in order to do that Red Hat has very, very rigorous standards on the kind of technologies that are going to fit into our portfolio as really the leading enterprise grade, fully supported version of co in open shift and pure storage has done a
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phenomenal job in working with us to meet those certification standards to really just make sure that when we, when you buy our products together that they work and they're fully supported. So it's a really important part of the business that we have together. So, um I wanna talk a little bit about just container adoption. Um You know, back in the time when Google had
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created Cooper Netti and then donated it to CNCF. Um you know, it was, it was obviously a new technology but with incredible promise. And so what's happened over the years since we've come out with open shift, the adoption rate has gone up dramatically. And so I've been with the company for about 4.5 years and prior to that was with Microsoft for a long time and,
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and Novell and F five and a couple other uh consulting. But it, it, when, when, when we were really starting to drive that, uh when I came into the company, um a lot of it was really being used for, for test, people were trying to figure it out and, and saying, ok, like, you know, is this thing for real and what can I do with it?
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And now we're already at that tipping point where statist is saying that it's over 60% in terms of cloud native as it takes center stage, the adoption rate that's going on, that's up from 42% and then 50% a couple of years ago. And then, and now it's topping 61%. And now there's the intention of most cio leaders to be able to look at
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implementing containerized applications into their environment. And um and that's up from and then also the intention to actually put those applications into production is up 92% and up 300% since 2016. So we're at that point where is real open open source really is kind of won the hearts and minds of the developer community, the platform community.
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Um And so, you know, now it's like time to OK, what do we do to, to get real around this? And so as these applications are are rolling out and at the same time, you know, mentioned uh the rate of change there, there are several different factors of what's creating that one is you have platforms like Cotti um you have all of the massive migration to cloud and then now you have A I so all this
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stuff is coming together really, really quickly. And and so um you know how companies chart their strategy on platform engineering is really, it's a, I mean, there are really critical decisions that are being made. So part of our responsibility is to make sure that our technologies work really, really good together. So that you're successful in that venture.
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And I'll talk a little bit about kind of uh where open shift fits into this and how that that works. Leveraging port works and, and the pure storage environment. So I, I was talking to uh Chris Morgan, one of our, our vps in the open shift group. And I said, Chris, I need a logo slide, I need to, you know,
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be able to talk about uh the adoption. I didn't expect that I'd get so many logos. But anyway, so I literally the, you know, the message here is that Cotti is real open shift is a leading platform there and, and, and customers are deploying mission critical applications out there. And uh and, and what we're also talking about in this journey to an open hybrid cloud is
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there are other critical success factors like automation and A I that we'll talk a little bit about, but we've got over 3800 customers that have deployed container applications on open shift. Obviously a lot of big logos here, we've been leading in this business for over seven years in making sure that we have continued to leverage the open source heritage that we have uh driving on the success of Cotti and making
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that enter enterprise grade scalable and supportable on platforms that we work with like pure storage and port works. There's, you know, and for us kind of a benchmark internally for the company is any time you start a software business that goes back to, you know, kind of Microsoft wrote the book on it.
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But, you know, if you're going to invest in that, that part of the technology, you want to make sure it's going to be a billion dollar business. And we've hit that mark now and we're actually moving onward now. We just at Red Hat Summit announced open shift A I Generative A I platform and I'll talk a little bit about the partnerships that are there.
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And then uh answerable automation platform is the next target for us for that uh that billion dollar mark. But you know, there's a lot of critical mass in the marketplace now and there's some really, really cool applications that are being built out that really are these transformational kinds of applications that change the business um with the advent of A I and how that's it, I mean, it's,
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it's, it's um if you've seen some of the they were talking a little bit about, you know, the power consumption savings that happens with the, with the pure storage rate. It's pretty incredible. I saw one of the presentations about the overall footprint for A I systems and it's absolutely scary. So power consumption,
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sustainability and how our systems work together to create those efficiencies is really important. Um So, so now, so that's great. Well, we're both platform companies. OK. So, so what does that really mean? I mean, you can't install open shift and really do anything you gotta have applications that are gonna be, be developed on there, which means you're gonna have a lot of migration of
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legacy applications, you're gonna have new applications that are cloud native, that are development developed. But at the end of the day, I thought this was AAA really interesting uh piece for Gartner where they kind of talked about. Look, you don't, you don't really have to take a one size fits all approach right?
35:10
There are, that's kind of the nature of what's happening when we talk about an open hybrid cloud or a multi cloud environment. OK. The whole purpose of that is you're gonna, you're gonna find the right applications and parts and pieces of those containerized applications to be where they need to be to run most efficiently with the, with the platform underneath it, it's going to give you that optimization.
35:32
And if you think about it just very, very logically, if I'm a long time, uh Microsoft estate customer, right. Chances are, and I had been there for a long time. I know they don't like to lose customers. So of course, they're gonna cater to their customers to make sure that they move to Azure, right? It's just logical, you know, they're gonna
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offer fully fund functional across all the platforms. But and, and in the kind of the same vein, aws is, you know, kind of a very logical place for, for Linux based applications and platforms to move, right. So at the end of the day, it's really clear. And then of course, you have Google, Google cloud and IBM cloud and others.
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And so there's a lot of different choices out there. So it inherently makes sense to have an open hybrid cloud strategy when you've got multiple cloud vendors and when the reality is there's still a ton of the business that's on premise. So the whole strategy with openshift and leveraging kubernetes in the container environment is to be able to give that portability and that flexibility and choice.
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So you don't get locked into any one vendor. Now, we have really really strong partnerships with Aws, with Microsoft, with Google. Um and, and that's great, but, but be very clear, the strategy is to provide open shift across all of these platforms. And I'll talk to you about, you know, kind of how we're doing that.
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And the other piece that I thought was really cool that Gartner picked up on is that automation is going to be a critical, critical component of this. And so we are very, very, I was in a meeting yesterday with uh with the, with the pure folks. And it's uh it's really amazing how aligned we are on our strategy and our technology map together even around.
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Not only on the platform pieces with, with, with open shift and port works across their platform and port works ability to really run across any storage platform. But, but really this this alignment that we have around around automation, you know, the hundreds and hundreds of man hours that can be saved with an automation platform is stunning. But the most important part of it is that what
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I would call, it's a trusted environment that security is baked. Somebody had said that earlier this morning that security is baked into that into the entire strategy for how automation is going to help you be more efficient. That coupled with A I, it's going to be an incredible next couple of years when we move along. So, all right.
37:58
So let's take a look at a couple of the workloads. III I found it not surprising that databases and data cache was, was, you know, kind of the number one workload that's being deployed on, on containerized uh environments, right? What was surprising to me was that A INML was, was growing as fast as it as it is now. And I expect it's probably gonna even probably
38:20
surpass it at some point. We have my, my team works with our, our global software organization and we have a whole series of certified I SPS, they can be in the de de area, uh A INM data services and storage area, infrastructure, networking. And so this certification process that we work on together really is the glue that makes sure that all of this stuff is gonna work
38:49
together, right? Because even when you're building cloud native applications, a lot of it is built on components. So you've got to make sure that all of this stuff ties together and it's fully supported. And that's really not only that, that open shift is a supported scalable environment, but that all of our certified partners uh in in our ecosystem also tie into that certification
39:10
so that everything works together. So it's just interesting to see kind of the movement of the different workloads. And really at the end of the day, what we really want to do is be the best platform for the kinds of applications that Murley was talking about, which are really the veins of investment that are coming down,
39:26
that are those transformational ideas that applications get built on, that are going to change the game, right? So you know, that's what we're here to do is to work with all the best and brightest of of the application providers to to to make that available for you, right? So, so when you think you probably heard
39:43
modernize the enterprise or you know, modernizing applications or whatever for us, I mean, that is kind of one of the core pillars of everything that we do when we think about creating validated patterns and solutions with our ecosystem partners to be able to deliver that value, right? And so whether it's building applications, we have certified partners in the developer space like mules,
40:07
soft or Kong. As an example, we've got networking partners like F five and Cisco and Citrix. We've got great database partners like cockroach labs and Couch base and crunchy data labs. Mongo DB. So all the database providers are certified on our platform to make sure that all of that runs together.
40:29
And then uh and then also in when we think about managing those production apps, the security vendors in there and how tightly that's got to be integrated to provide uh you know, the level of security that's going to allow you to, to really bet your business on those applications that you're going to containerize and really have across an open hybrid cloud platform.
40:51
And so at the end of the day, what it really comes down to is what is the value of the data that's going to be provided into those applications, right? So you know, me had mentioned Snowflake as an example, I mean, you could be building out data lakes with, with companies like Starburst or you know, cloud is another very, very good partner of ours.
41:11
So there's a tremendous amount of choice, but we also work with these ecosystem partners to make sure that they are certified to make sure that it meets the standards that we need to, it's going to give you that level of enterprise grade stability. So, so the red the red hat open shift platform, really, if you think about it, it can be run on prem, there are many, there are different form factors of it all the way up
41:36
to open shift platform plus which has advanced cluster management, advanced cluster security scales across any of these cloud providers. We've got Red Hat open shift service on Aws. We've got Azure Red Hat opens. So, and, and those, those implementations are starting to spike in terms of their uh their consumption value right now. So, you know,
41:59
obviously Aws loves that Azure loves that they want Red Hat to be running on their platform. And so we've got really tight partnerships with them. Um The, the, you know, I think the thing to look at there is that what are the applications that are gonna be running on there? And can you easily procure those applications through their marketplace? And, you know, so we've got our certified
42:20
partners on and we sit down and I remember I met with Microsoft. It was probably, it was probably 3.5 years ago and we, we were kind of mapping up and our, our different ISB partners and I thought it was gonna be a really short conversation and we ended up sitting in this room for about 6.5 hours white board and everything else and holy smokes.
42:37
And they literally said, you're, you're one of our top providers. And that was really just at the beginning stages of when we had, we had announced a Ro with Microsoft. So, um so it's got a ton of momentum and, and that is going to give the flexibility of choice to drive the containerized application consumption on those platforms.
42:57
Um And then the other piece of this, which is, which is critically important when we think about a cloud to edge strategy is open shift uh at, at the edge or micro shift, right. And so we have a very, very small footprint now that's going to enable really, really cool devices that are actually running open shift. And the key point to it is that open shift is open shift is open shift,
43:19
different form factors, different kind of capabilities within those form factor. But you got different delivery mechanisms and it's still open shift and it's fully supported and enterprise grade and all the way out to edge devices. So it creates a really rich robust development environment for you to be able to containerize applications and get them into consumption and production really really quickly.
43:42
So at the end of the day, you know, it really comes down to the use cases and, and we have many, many of these, but we got for an example here of of some really great work that we've done with pure storage and port works. And and really at the end of the day, especially in the meetings that I've had over the past few days, I feel like we're really just scratching the surface and I'm super
44:03
excited about the ability to provide this platform to our customers to help you go. And so at the end of the day, you have cost optimization that's occurring, data, cloud management, application, availability and performance and security around all of that with customers like this. So at the end of the day, uh very, very happy to be invited by Merle.
44:24
Thank you and pure storage and port works. Uh We're, we're really excited about the partnership that we have here to be able to provide that to you. And I just wanted to point out there are two people here, Randy Sheets and OJ Garza. These two are two of the best in the industry in terms of being able to drive the alliances on both sides.
44:47
So we've got other folks here from Red Hat and Pure storage around this partnership. But I hope this was helpful and if you have any questions Randy and OJ are back there and thank you very much for your time.
