>>Hello everyone Welcome to the cubes coverage of cubic on cloud native come here in person in L A 2021. I'm john ferrier, host of the Cuban Dave Nicholson host cloud host for the cube and of course former host of the cube steve minutemen. Now at red hat stew, we do our normal keynote reviews. We had to have you come back first while hazard and red hat >>john it's phenomenal. Great to see you nice to have Dave be on the program here too. It's been awesome. So yeah, a year and a day since I joined Red hat and uh, I do miss you guys always enjoyed doing the interviews in the cube. But you know, we're still in the community and still interacting lots, >>but we love you too. And Davis, your new replacement and covering the cloud angles. He's gonna bring little stew mo jokes of the interview but still, we've always done the wrap up has always been our favorite interviews to do an analysis of the keynote because let's face it, that's where all the action is. Of course we bring the commentary, but this year it's important because it's the first time we've had an event in two years too. So a lot of people, you know, aren't saying this on camera a lot, but they're kind of nervous. They're worried they're weirded out. We're back in person again. What do I feel? I haven't seen people, I've been working with people online. This is the top story. >>Yeah, john I thought they did a really good job in the keynote this morning. Normally, I mean this community in general is good with inclusion. Part of that inclusion is hey, what are you comfortable with if your remote? We still love you and it's okay. And if you're here in person, you might see there's wrist bands of green, yellow, red as in like, hey, you okay with a handshake. You want to do there or stay the f away from me because I'm not really that comfortable yet being here and it's whatever you're comfortable with. That's okay. >>I think the inclusion and the whole respect for the individual code of conduct, C N C. F and limits Foundation has been on the front end of all those trends. I love how they're taking it to a whole nother level. David, I want to get your take because now with multi cloud, we heard the same message over and over again that hey, open winds, okay. Open winds and still changing fast. What's your take? >>Open absolutely wins. It's uh, it's the present. It's the future. I know in some of the conversations we've had with folks looking back over the last seven years, a lot of things have changed. Um, whenever I think of open source anything, I go back to the foundations of Lennox and I remember a time when you had to reboot a Linux server to re scan a scuzzy bus to add a new storage device and we all sort of put our penguin hats on and kind of ignored that for a while. And uh, and, and as things are developed, we keep coming into these new situations. Multi cluster management was a big, big point of conversation in the keynote today. It's fascinating when you start thinking about something that was once sort of a back room science experiment. Absolutely. It's the center of the enterprise now from a software >>from an open tour standpoint security has been one of those front and center things. One of the day, zero events that got a lot of buzz coming at the beginning of the week was secure supply chain. So with the Solar Wind act going in there, you know, we remember cloud, wait, can I trust it with the security? Open source right now. Open source and security go together. Open source and the security in the cloud all go together. So you know that that wave of open source, obviously one of the things that brought me to red hat, I'd had a couple of decades, you know, working within the enterprise and open source and that that adoption curve which went through a few bumps in the road over time and it took time. But today, I mean open sources have given this show in this ecosystem are such proof >>points of a couple things. I noticed one, I want to do a shout out for the folks who put a nice tribute for dan Kaminsky who has passed away and we miss him. We saw on the Cube 2019, I believe he's on the Cube that year with Adam on big influence, but the inclusiveness do and the community is changing. I think security has changed a lot and I want to get your guys take on this. Security has forced a lot of things happen faster data, open data. Okay. And kubernetes to get hardened faster stew. I know your team's working on it. We know what Azure and amazon is working on it. What do you guys think about how security's been forcing the advances in kubernetes and making that stable? >>Yeah. So john security, you know, is job one, it is everyone's responsibility. We talk about it from a container and kubernetes standpoint. We think we have a relatively good handle on what's happening in the kubernetes space red hat, we made an acquisition earlier this year of stack rocks, which was one of the leading kubernetes native security pieces. But you know, john we know security isn't just a moat anymore in a wall that you put up every single piece. You need to think about it. Um, I've got a person from the stack rocks acquisition actually on my team now and have told him like hey, you need to cross train all of us. We need to understand this more from a marketing standpoint, we need to talk about it from a developer standpoint. We need to have consideration of it. It's no longer, hey, it works okay on my machine. Come on, It needs to go to production. We all know this shift left is something we've been talking about for many years. So yes, security, security, security, we cannot overemphasize how important is um, you know, when it comes to cooper, I think, you know, were relatively mature, we're crossing the chasm, the adoption numbers are there, so it's not an impediment anymore. >>It's totally next level. I don't agree with this too. David, get your thoughts on this whole adoption um, roadmap that put it together, one of the working groups that we interviewed has got that kind of navigate, kinda like trailheads for salesforce, but that speaks to the adoption by mainstream enterprises, not the hard core, >>you know, >>us devops guys, but like it goes into mainstream main main street enterprise had I. T. Department and security groups there, like we got a program faster. How do you see the cloud guys in this ecosystem competing and making that go faster. >>So it's been interesting over the last decade or more often, technology has been ahead of people's comfort level with that technology for obvious reasons, it's not just something went wrong, it's something went wrong. I lost my job. Really, really bad things happened. So we tend to be conservative. Rightfully so in the sometimes there are these seminal moments where a shift happens go back sort of analogous go back to a time when people's main concern with VM ware was how can I get support from Microsoft and all of a sudden it went from that within weeks to how can I deploy this in my enterprise very, very quickly. And I'm fascinated by this concept of locking down the supply chain of code, uh sort of analogous to https, secure, http. It's the idea of making sure that these blocks of code are validated and secure as they get implemented. You mentioned, you mentioned things like cluster and pad's security and infrastructure security. >>Well, David, you brought up a really good point. So get off is the instance creation of that. How can I have my infrastructure as code? How can I make sure that I don't have drift? It's because I could just, it'll live and get hub and therefore it's version controlled. If I try to do something, it will validate that it's there and keep me on version because we know john we talked about it for years on the cube, we've gone beyond human scale if I don't build automation into it, if I don't have the guard rails in place because humans will mess things up so we need to make sure that we have the processes and the automation in place and kubernetes was built for that automation at its core, putting in, we've seen get up the Argosy, D was only went graduated, you know, the one dato was supported as coupon europe. Earlier this year, we already had a number of our customers deploying it using it. Talking publicly >>about it too. I want to get the kid apps angle and that's a good call out there and, and mainly because when we were on the cute, when you work, you post with with us, we were always cheerleading for Cuban. It we love because we've been here every single coupon. We were one saying this is gonna be big trust us and it is, it happens to so, but now we've been kind of, we don't have to sell it anymore. We don't, I mean not that we're selling it, but like we don't have to be a proponent of something we knew was going to happen, it happened. You're now work for a vendor red hat you talk to customers. What is that next level conversation look like now that they know it's real, they have to do it. How is the tops and then modern applications development, changing. What are your observations? Can you share with us from a redhead perspective as someone who's talking to customers, you know, what does real look like? >>Yeah. So get off is a great example of that. So, you know, certain of our government agencies that we work with, you know, obviously very secured about, you know, we want zero trust who do we put in charge of things. So if they can have, you know that that source of truth and know that that is maintained and lockdown and not await some admin is gonna mess something up on us either maliciously or oops, by accident or anything in between. That's why they were pushing that adoption of that kind of technology. So absolutely they, for the most part john they don't want to have to think about the infrastructure piece anymore. What if developers want the old past days was I want to be able to, you know, write once deploy anywhere, live anywhere, containers helps that a little bit. We even have in the container space. Now you can, you can use a service deployment model with Okay. Natives, the big open source project that, you know, VM ware ourselves are working on google's involved in it. So, you know, having us be able to focus on the business and not, you know, running the plumbing anymore. >>That's exactly, that's exactly, that's what we're so psyched for. Okay guys, let's wrap this up and and review the keynote day will start with you. What do you think of the keynote? What were the highlights? What do you take away from the taste keynote? >>So you touched on a couple of things, uh inclusion from all sorts of different angles. Really impressive. This sort of easing back into the world of being face to face. I think they're doing a fantastic job at that. The thing that struck me was something I mentioned earlier. Um moving into multi cluster management in a way that really speaks to enterprise deployments and the complexity of enterprise deployments moving forward? It's not just, it's not just, I'm a developer, I'm using resources in the cloud. I'm doing things this way, the rest of the enterprises doing it a legacy way. It's really an acknowledgement that these things are coming together increasingly. That's what really struck me >>to do. What's your takeaway from the end? >>So there's been a discussion in the industry, you know, what do the next million cloud customers look like we've crossed the chasm on kubernetes. One of the things they announced the keynote is they have a new associate level certification because I tell you before the keynote, I stopped by the breakfast area, saturday table, talk to a couple people. One guy was like, hey, I'm been on amazon for a bunch of years, but I'm a kubernetes newbie, I'm here to learn about that. It's not the same person that five years ago was like, I'm gonna grab all these projects and pull them down from getting, build my stack and you know, have a platform team to manage it from a red hat standpoint, we're delivering our biggest growth areas in cloud services where hey, I've got an SRE team, they can manage all that because can you do it? Sure you got people maybe you'll hire him, but wouldn't you rather have them work on, you know, that security initiative or that new application or some of these pieces, you know, what can you shift to your vendor? What can you offload from your team because we know the only constant is that things are gonna there's gonna be gonna be new pieces and I don't want to have to look at, oh there's another 20 new projects and how does that fit? Can I have a partner or consultant in sc that can help me integrate that into my environment when it makes sense for me because otherwise, oh my God, cloud, So much innovation. How do I grasp what I want? >>Great stuff guys, I would just say my summary is that okay? I'm excited this community has broken through the pandemic and survived and thrived people were working together during the pandemic. It's like a V. I. P. Event here. So that my keynote epiphany was this is like the who's who some big players are here. I saw Bill Vaz from amazon on the on the ground floor on monday night, He's number two at a W. S. I saw some top Vcs here. Microsoft IBM red hat the whole way tracks back. Whole track is back and it's a hybrid event. So I think we're here for the long haul with hybrid events where you can see a lot more in person, V. I. P. Like vibe people are doing deals. It feels alive too and it's all open. So it's all cool. And again, the team at C. N. C. F. They do an exceptional job of inclusion and making people feel safe and cool. So, great job. Thanks for coming on. I appreciate it. Good stuff. Okay. The keynote review from the cube Stupid Man shot for Dave Nicholson. Thanks for watching >>mm mm mm.

>> Live from Barcelona, Spain. It's the cue covering Sisqo. Live Europe, Brought to you by Cisco and its ecosystem partners. >> Come back. Everyone live here in Barcelona is the key. Exclusive coverage of Sisqo Live twenty nineteen. John for David Want my co host for the week, and Stupid Man was also here, doing interviews. Our next two guests is Mike Bundy, senior director of Global Cisco Lines with pure storage and Z, who's in charge of Christ Francisco. Welcome to the Cube. Thanks for joining >> us. Thank you for having us here. >> Also one, but we're in the definite zone. It's packed with people learning really use cases. Get rolling up the sleeves. Talk about the Cisco pure relationship. How do you guys fit into all this? What's the alliance? >> You understand? >> Sure. So we have a partnership with Cisco, primarily around a solution called flashback in the Converse infrastructure space. And most recently, we've evolved a new use case, an application together for our official intelligence that Z's business unit have just released a new platform that works with Cisco and in video to accomplish. You know, customer application needs mainly in machine learning, but but all aspects of our official intel it >> Hey, Eyes, obviously hot trend in machine learning. But today it's Cisco. The big story was, it's not about the data center as much anymore is. It's the data at the center of the value proposition, which spans the on premises I ot edge and multiple clouds. So data now is every where you gonna store it? So it's going to start in. The cloud is on premises. Data at the center means a lot of things you can programme with its gotta be addressable and has be smart and aware and take advantage of networking. So, with all that is a background backdrop, what is the A I approach? How should people think about a I in context to storing data using data, not just moving package from point A to point B? But you're storing it? You're pulling it out. You're in agreeing into apple cases. A lot of moving parts there. What's that? >> Yeah, you got a really good point here. When people think about machine learning traditional age, they just think about training. But we look at this more than Chinese. The whole did a pipeline that starts with collecting the data stored the data, analyze the data between the data and didn't deploy it and then for the data back. So it's really a vory. It's a cycle there, right? It's it's where you need to consider >> how you actually collect the data from the edge, how you store them in the speed that you can and give the data to the training side. So I believe way work was pure. We try to create this as a whole data pipeline and thinking about entire data movement and the star, which need that would look here. >> So we're in the definite zone, and I'm looking at the machine learning with Python ML library >> center >> Flow of Apache sparked a >> lot of this data >> science type stuff, but increasingly a ISA workload that's going mainstream. But what The trends that you guys are seeing in terms of, you know, traditional, I tease involvement is >> it's still sort of >> a I often an island. What are you seeing there? So I'll take a take a gas stab at it. So, really, every major company industry that we work with have you know, Aye, aye. Initiatives. It's the core of the future for their business. So, no, what we're trying to do is partner with I t to get ahead of the large infrastructure demands that will come from those smaller, innovative projects that Aeryn pilot mode so that they are a partner to the business and the data scientist, rather than, you know, a laggard in the business. The way that you know, sometimes there the reputation that that I guess we want to be the infrastructure solid, you know, like a cloud like experience for the data scientists. So they can worry more about the applications, the data, what it means the business and less about the infrastructure. Okay. And so you guys are trying to simplify that >> infrastructure, whether it's converged infrastructure. No other sort of unifying approaches is Are you seeing the shift of a sort of that heavy lifting of people out now? Shifting resource is, too. You work loads like a I Maybe you could discuss trends, are there? >> Yeah, absolutely. So I think I started was more like a data signs experiment. Right? You see, want to date, assigns a couple of data science experiment. Now it's really getting into ministry. More and more people report into that and us. Apologize. Mike, Mike, The way we start that questions my deep apology. I need a GP or something. >> Like, I need to >> store the data better. >> Your fortnight? Yes. >> So as Micah's had early on, right? It's it's not just the data scientist is actually all a challenge as well. And I think was Cisco, where twenty do was pure. Here is, you know, that Cisco thing. We're saying we're breach right. We want to bridge the gap between the data scientists and the it and make it not just as experiments, but a scale at production level and be wedded to actually, Crew will impact with the technology infrastructure that we can table >> might talk about yours position You guys have announced here in the cloud. Yes, he's seeing that software. Focus software is the key here. Or you can get to a software model. Aye, aye. And she learned Only we're talking about is software data is now available to be addressed and managing that software. Lifecycle. How is this Corolla software for you guys? With converge infrastructure at the San Francisco announce your downstage day, we'll converge infrastructure to the edge. >> Yeah, so if you look at the plant, one that we built, that's it's referenced by being called the data hub. The data hub has a very tight synergy, with all the applications referring to spark tenser PLO, etcetera, etcetera cafe. So we look it as the next generation analytics, and the platform has a super layer on top of all those applications because that that's going to really make the integration possible for the data scientists. They could go quicker and faster. What we're trying to do underneath that is used the data hub that no matter what the size, whether it's small data, large data transaction based or more bulk data warehouse type applications, you know the data hub in the flash blade solution or need handle all of that very, very different and probably more optimizing and easier than traditional legacy infrastructures, even tradition, even even even flash, you know, from some of our competitors. Because, you know, we've built this a purpose built application for that, you know, not trying to go backwards in terms of technology, >> I want to put both you guys on the spot for a question. We hear infrastructure is code for going on many, many years since the few started at nine years ago. Infrastructures code. Now it's here. The network's programmable infrastructures, programmable storages, programmable What a customer! Or someone asked you. How is infrastructure Network's in storage, Programmable. And what do I do? I'm used to provisional storage. I've got servers. I'm going cloud. What do I do? How do I become? A. I enabled that I could program the infrastructure. How do you guys answer that question? >> So a lot of that comes to the infrastructure management layer, right? How do you actually using policy and using the white infrastructure managing to make the right configuration want? And I think one thing from program eligibility is also flexibility. Instead of having just a fixed conflagration. What we're doing with pure here is really having that flexibility right where you can put pure Star Ridge different kind of star, which was different, kind off. Compute that you have. No matter. It's we're talking about two are used for you. That kind of computing power is different and connects with a different Star wars, depending on what the customer use cases. So that flexibility driven by the driven to the proper program ability that is managed by the infrastructure. Imagine a layer, and we're extending that So pure and Cisco's infrastructure management actually tying together it's really single pane of glass was in decide that we can actually manage both pure and Cisco. That's the program ability that we're talking >> about. Get pure storage and to end manageability. >> Where's the Cisco compute its A single pane of glass. >> So what do I buy? I want to get started. What? What do you got for me? What you have, it's pretty simple. Three basic components, you know, Cisco Compute and a platform for machine learning that's powered by and video GP. Use Cisco Flash Blade, which is the data hub and storage component and then network connectivity from the number one network provider in the world. Francisco. Very simple. It's askew. It's a solution. It's very, very skewed. It's very simple. It's data driven, so you know it's not tied to a specific skew. It's more flexible than that. So you have a better optimization of the network. You know you don't buy a one thousand Siri's ex. Okay, Only used fifty percent of it. It's very customized. Okay, so I can customize it for my whatever data science team or my workloads and provisioning for multipurpose. Same way of service provider would ifyou're a large organization >> trend trend around Breaking Silas has been being discussed heavily. Talk about multiple clouds on premise and cloud and edge all coming together. How should companies think about their data architecture on? Because Silas Air good for certain things to make multi cloud work and all this and to end and intent based networking and all the power of a eyes around the corner. You gotta have the date out there, right? It's gotta be horizontally scaleable of you. How do you break down those silos? Twitter advises air use cases or anarchic for architecture. >> You know what I think? It's a classic example of how it has evolved to not think just silos and be multi cloud. So you know, we've advocate is is you have a date, a platform that transpires the entire community, whether its development, test engineering production applications and that, you know, runs holistically across the entire organization that would include on from it would include integration with the cloud. Because most you know cos now require, That s so you could have different levels of high availability or lower cost if your data needs to be archived. So it's really, you know, building and thinking about The data is on platform across the across the company and not just you know, silos for >> replication never goes away. Never. It's gonna be around for a long, long time. >> Deaf tests never goes away. Yeah, >> you thought some >> s o i. D On top of that, We believe where you infrastructure should go is where the data goes, right? You want to follow that where the data is, And that's exactly why I want a partner was pure here because we see a lot of the data sitting today in the very important infrastructure which is built by pure storage and want to make sure that we're not just building a sidle box sitting there where you have for the data in there all the time, but actually connected our chips. Silver was pure storage in the most manageable way. And it's the same kind of manager layer you're not thinking about All have to manage all the Sala box or the shadow it that some day that time would have under their desks. Right. That's the least thing you want it. >> And the other thing that came up in the Kino today, which we've been seeing on the Cuban, all the experts reaffirm, is moving data cost money got late in sea. Costs also just cost to move traffic around, so moving compute to the edge of moving. Compute to the data has been a big hot trend. How is the computer equation changed? I got storage. I'm moving. I'm not just moving packets around. I'm storing it and moving it around. How does that changed the computers? It put more emphasis on the computer. >> Wait, It's definitely putting a lot more emphasis on computer. I think it's where you want to compute to happen, right? You can pull all the data and I want it happen in the centre place. That's fine if that's the way you want to manage it. If you have, if you have already simplify the data, you want to put it in that way. If you want to do it at the edge near where the data sources, you can also do the cleaning there. So we want to make sure that no matter how you want to manage it. We have the portfolio that can actually help you to manage. And >> his alternative alternate processors mentioned video first. Yeah, you would deal with them in other ways to you've got to take advantage of technologies like uber, Nettie says. Example. So you can move the containers where they need to be and have policy managers for the computer requirements. And also, you know, storage so you don't have contention or data and integrity issues. So embracing those technologies and a multi cloud world, it's very, very >> like. I want to ask you a question around customer trends. What are you seeing as a pattern from a customer standpoint as they prepare for a I and start re factory? Some of their end or resource is. Is there a certain use case that they set up with pure in terms of how they set up their storage? Is it different by customers? Are a common trend that you see >> there are some commonalities, you know, like take financial services want trading as an example. We have a number of customers that leverage our platform for that. Is this very you know, time sensitive, high availability data? So really, I think the customers the trend over all of that would be a step back. Take a look at your data and focus on how can I correlate, Organize that and really get it ready so that whatever platform used from a story standpoint, you're you're thinking about all aspects of data and get it in a format in a forum where you can manage and catalog, because that's kind of the sentence. >> I mean, it really highlights all the key things that would say it in storage for a long time. I availability integrity of the data. And now you got at patient developers programming with data. This's a hole with a P IIs. Now you're slinging FBI's around like it's Tom mentioned me its weight should be. This is like Nirvana finally got here. How far along are we in the progress? How far we earlier we moving the needle? Where the >> customers himself a partnership partnership. Deanna >> and General, You guys were going to say, You got you got storage, You got networking and compute all kind of working together. That's reflex school elastic like the cloud >> I my feeling, mike, contract me or you can disagree with me. I think right now, if we look at all the wood analysts saying what we're saying, I think most of the companies more than fifty percent of companies either have deployed a Emma or are considering implant off deploying that right. But having said that, we do see that we're seeing at a relatively early stage because the challenges off making a deployment at scale where data scientist and I'd really working together, right? You need that level of security in that level, off skill ofthe infrastructure and software involving Devon I. So my feeling is where stew At a relatively early stage, >> I think we are in the early adopter face. You know, we've had customers for last two years. They've really been driving this way, worked with about seven of the automated car, you know, driving Cos. But, you know, if you look at the data from Morgan Stanley and other analysts, is about a thirteen billion dollars infrastructure that's required for a eye over the next three years from twenty, nineteen, twenty, twenty one. So you know, that is probably six x seven x what it is today, so we haven't quite hit that. >> So people are doing their homework right now. You are the leader. >> Its leaders in the industry, not mastering everybody else is going to close that gap. So that's where you guys come into helping that scale way built this. This platform with Cisco on is really flashback for a I is around scale for, you know, tens and twenties of petabytes of data that will be required for >> these targeted solution for a I with all the integration pieces Francisco built in. Yes. Great. We'll keep track of a look sighting. We think it's cliche to say future proof, but this, in this case, literally is preparing for the future. The bridge? >> Yes. Future. Yes. You >> know, as the news is good, it's acute coverage. He live in Barcelona with more live coverage after this short break. Thanks for watching. I'm John Barrier, but David won't they stay with us. >> Thank you.