welcome back to los angeles lisa martin here with dave nicholson day three of the cube's coverage of kubecon cloud native con north america 2020 we've been having some great comp live conversations in the last three days with actual guests on set we're very pleased to welcome to for the first time to our program shimon ben david the cto of weka welcome hey nice to be here nice to be here great to be at an in-person event isn't it no it's awesome they've done a great job i think you're green you're green like we're green fully green which is fantastic actually purple and hearts wake up yeah good to know green means you're shaking hands and maybe the occasional hug so talk to us about weka what's going on we'll kind of dig into what you guys are doing with kubernetes but give us that overview of what's going on at weka io okay so weka has been around for several years already uh we actually jade our product of 2016 so it's been out there uh actually eight of the fortune 50 are using weka um for those of you that don't know weka by the way we're a fully software defined parallel file system cloud native i know it's a mouthful and it's buzzword compliant but we actually baked all of that into the product from day one because we did other storage companies in the past and we actually wanted to take the best of all worlds and put that into one storage that is is not another me too it's not another compromise so we built the the environment we built weka to actually accommodate for upcoming technologies so we identified also that cloud technology is upcoming network actually exploded in a good way one gig 10 gig 100 gig 200 gig came out so we knew that that's going to be a trend and also cloud we saw cloud being utilized more and more and we kind of like bet that being able to be a parallel file system for the cloud would be amazing and it does how are you not on me too tell me tell us that when you're talking with customers what are the like the top three things that really differentiate weka speed scale and simplicity speed skills i like how fast you said that like quicker so speed sorry you see a lot of file system a lot of storage environments that are very um throughput oriented so speed how many gigabytes can you do to be honest a lot of storage environments are saying we can do that in that many gigabytes when we designed weka actually we wanted to provide an environment that would actually be faster than your local nvme on your local server because that's what we see are actually customers using for performance they're copying the data for their local to their local nvmes and process it we created an environment that is actually throughput oriented iops oriented latency sensitive and metadata performance so it's kind of like the best of all worlds and it's just not just a claim we actually showed it in many benchmarks uh top 500s supercomputing centers can talk for hours about performance but that's performance um scalability we actually are able to scale uh and we did show that we scaled to multiple petabytes we actually uh took some projects from scale-out nas appliances that actually got to their limit of their scale out and we we just continued from there double digit triple digits petabytes upcoming um and also scale is also how many clients can you service at once so it's not only how much capacity but also how many clients can you can you work with concurrently and simplicity all of that we from the initial design points were let's make something that is usable by users and not like so my mother can really use it right and so we have a very simple intuitive user interface but it's also api driven so you can automate around it so simplicity speed and scale love it so shimon it's interesting you said that your company was founded in 2016 in that in that time period because uh before jade ga ga 2016. um but but in those in in those surrounding years uh there were a lot of companies that were coming out at sort of the tail end of the legacy storage world yeah trying to just cannibalize that business you came out looking into the future where are we in that future now because you could argue that you guys maybe started a little early you could have taken a couple of years off and waited for uh for for the wave in the world of containerization as an example to come through but this is really this is like your time to shine isn't it exactly and being fully software defined we can always um adapt and we're always adapting so we bet on new technologies networking flash environments and these keep just keep on going and improving right when we went out we were like in 10 gig environments with ssds but we already knew that we're going to go to 100 and we also designed already for nvmes so kind like hardware constantly improved uh cpus for example the new intel cpus the new amd cpus we just accommodated for them because being software defined means that we actually bypass most of their inner workings and do things ourselves so that's awesome and then the cloud environment is growing massively and containers we see containers now in everyday uh use cases where initially it was maybe vms maybe bare metal but now everything is containerized and we're actually starting to see more and more kubernetes orchestrated environment uh coming out as well i still have a feeling that this is still a bit of dev property hey i'm a developer i'm a devops engineer i'm going to do it uh and it's there is i actually saw a lot of exciting things here um taking it to the next level to the it environment so um that's where we will show benefit as well so talk about how kubernetes users are are working with weka what is what superpower does that give them so um i think if you look at the current storage solutions that you have for kubernetes um they're interesting but they're more of like the let's take what we have today and plug it in right um so what kind of has a csi uh plug-in so it's easy to integrate and work with but also when you look at it um block is still being used in in kubernetes environments that i'm familiar with block was still being used for high performance so i i used uh pvs and pvcs to manage my pods uh claims and then but then i mounted them as read write once right because i couldn't share them then if a pod failed i had to reclaim the pvc and connect it to multiple environments because i wanted block storage because it's fast and then nfs environments was were used as read write many uh to be a shared environment but low performance so by being able to say hey we now have an environment that is fully covered kubernetes integrated and it provides all the performance aspects that you need you don't need to choose just run your fleet of pods your cluster of pods read write many you don't need to to manage old reclamations just to create new pods you get the best of all words ease of use and also uh the performance additionally because there's always more right we now see more and more uh cloud environments right so weka also has the ability and i didn't focus on that but it's it's really uh amazing it has the ability to move data around between different environments so imagine and we see that imagine on-prem environments that are now using weka you're in the terabytes or petabyte scale obviously you can copy and rsync and rclone right but nobody really does it because it doesn't work for these capacities so weka has the ability to say hey i can move data around between different environments so create more copies or simply burst so we see customers that are working on-prem throwing data to the cloud we see customers working on the cloud and and then we actually now see customers starting to bridge the gap because cloud bursting is again is a very nice buzzword we see some customers exploring it we don't really see customers doing it at the moment but the customers that are exploring it are exploring uh throwing the compute out to the cloud using the kubernetes cluster and throwing the data to the cloud using the weka cluster so there's and and one last thing because that's another interesting use case weka can be run converged on the same kubernetes cluster so there is no need to have even it's so in essence it's a zero footprint storage you don't need to even add more servers so i don't need to buy a box and connect my cluster to that box i just run it on the same servers and if i want more compute nodes i add more nodes and i'll add more storage by doing that so it's that simple so i was just looking at the website and see that waka was just this was just announced last week a visionary in the gartner mq for what's the mq4 distributed file systems and object storage talk to me talk talk to us about that what does that distinction mean for the company and how does the voice of the customer validate that great so actually this is interesting this is a culmination of a lot of hard work that all of the team did writing the product and all of the customers by adopting the product because it was in order to get to that i know we don't know if anybody is familiar with the criteria but you need to have a large footprint a distinguished footprint worldwide so we worked hard on getting that and we see that and we see that in multiple markets by the way financials we see a massive amounts of aiml projects containerized kubernetes orchestrated so getting to that was a huge achievement you could see other storage devices not being there because not not every storage appliance is is a parallel file system usually i think uh when you look at parallel file systems you you you attribute complexity and i need an army of people to manage it and to tweak it so that's again one of the things that we did and that's why we really think that we're a cool vendor in that magikarp magic quarter right because you it's that simple to manage uh you don't have any uh find you you cannot you don't need to find unity in like a bazillion different ways just install it we work it works you map it to your containers simple so we're here at kubecon a lot of talk about cloud native a lot of projects a lot of integration a lot of community development you've described installing weka into a kubernetes cluster where you know are there are there integrations that are being worked on what are the is there connective tissue between essentially this parallel file system that's spanning you say you have five nodes you have weka running on those five nodes you have a kubernetes cluster spanning those five nodes um what kinds of things are happening in the community maybe that you're supporting or that you're participating in to connect those together so right now you you don't uh we only have the csi plugin we didn't invest in in anything more actually one of the reasons that i'm here is to get to know the community a bit more and to get more involved and we're definitely looking into how more can we help customers utilize kubernetes and and enjoy the worker storage uh do we need to do some sort of integration i'm actually exploring that and i think you'll see some well so we got interesting so we got you at a good time now exactly yeah because you can say with with it with an api approach um you have the you have the connectivity and you're providing this storage layer that provides all the attributes that you described but you are here live living proof green wristband and all showing that the future will be even more interesting voting on the future yeah and and seeing how we can help the community and what can we do together and actually i'm really impressed by the the conference it's been amazing we've been talking about that all week being impressed with the fact that there's we've been hearing between 2 700 and 3 100 people here which is amazing in person of course there's many more that are participating virtually but they've done a great job of these green wristbands by the way we've talked about these a minute ago um this you have a red yellow or green option to to tell others are you comfortable with contact handshakes hugs etc i love that the fact that i am i'm sandwiched by two grains but they've done a great job of making this safe and i hope that this is a message this is a big community um the cncf has 138 000 contributors i hope this is a message that shows that you can do these events we can get together in person again because there's nothing like the hallway track you can't replicate that on video exactly grabbing people in the hallway in the hotel in the lobby talking about their problems seeing what they need what we do it's amazing right so so give us a little bit in our last few minutes here about the go to market what is the the gtm strategy for weka so that's an interesting question so being fully software defined when we started we we thought do we do another me too another storage appliance even though we're storage defined could we just go to market with our own boxes and we actually uh decided to go differently because our market was actually the storage vendors sorry the server vendors we actually decided to go and enable other bare metal environments manufacturers to now create storage solutions so we now have a great partnership with hpe with supermicro with hitachi uh and and more as well with aws because again being software defined we we can run on the cloud we do have massive projects on the clouds some of the we're all familiar with some but i can't mention um so and we we chose that as our go to market because we we are fully software defined we don't need any specific hardware for we just need a server with nvmes or an instance with nvmes and that's it there's no usually when i talk about what we need is as a product i also talk about the list of what we don't need is longer we don't need j bar j buffs servers ups we don't need all of that raid arrays we just need the servers so a lot of the server vendors actually identify that and then when we approach them and say hey this is what we can do on your bare metal on your environment is that valuable of course so so that's mostly our go to market another thing is that we chose to to focus on the markets that we're going after we're not another me too we're not another storage for your home directories even though obviously we are in some cases uh by customers but we're the storage where if you could shrink your wall clock time of your pipeline from two weeks to four hours and we did that's like 84 times faster if you could do that how valuable is that that's what we do that we see that more and more in modern enterprises so when we started doing that people were saying hey so your go to market is only hpc uh no all if you look at ai email life science um financials and the list goes on right modern environments are now being what hpc was a few years ago so there's massive amounts of data so our go to market is to be very targeted toward uh these markets and then we can say that they also uh push us to to other sides of the hey i have a worker so i might put my vmware on it i might put my i'll do my distributed compilation on this it's it's growing organically so that's fun to see awesome tremendous amount of growth i love that you talked about it very clearly simplicity speed and scale i think you did a great job of articulating why waka is not a me too last question are there any upcoming webinars or events or announcements that that folks can go to learn more about weka uh great question um i didn't come with my marketing hat but we we constantly have events and uh we usually what we usually do we we talk about the markets that we go after so for example a while ago we were in bioit so we published some uh life science articles um i need to see what's in the pipeline and definitely share it with you well i know you guys are going to be at re invent we do so hopefully we'll see you re-invent we're very in super computing as well if you'll be there fantastic i see that on your website there um i don't think we're there but we will see you we're a strong believer of of these conferences of these communities of being on the ground talking with people obviously if you can do it we'll do it with zoom but this is prices yeah it is there's nothing like it shimon it's been great to have you on the program thank you so much for giving us an update on weka sharing what you guys are doing how you're helping kubernetes users and what differentiates the technology we appreciate all your insights and your energy too no it's not me it's the product ah i love it for dave nicholson i'm lisa martin coming to you live from los angeles this is kubecon cloudnativecon north america 21 coverage on the cube wrapping up three days of wall-to-wall coverage we thank you for watching we hope you stay well

>>Live from Las Vegas. It's the cube covering splunk.com 19 brought to you by Splunk. >>Hey, welcome back. Everyone's the cubes coverage here in Las Vegas for Splunk's dot com I'm John, the host of the cube. This is Splunk's 10th year user conference is the cube seventh year. We've been riding on the same wave with Splunk over the years and just watching the phenomenal growth and changes at the level of data at scale we've been covering. We can remember I said from day one data at the center of this, not just log files is now gone. Beyond that, we're here with Carrie Pailin, the CMO, chief marketing officer for Splunk. Welcome to the cube. Thanks for coming on. Thank you so much. It's great to be here. The folks that know us know about spunk. Notice the color changes in the background, the popping kink, burning yellow, orange underneath, new branding. You're new to Splunk story, career in technology. Um, this is exciting. And then portfolio, there's all the news is a phenomenal good news flow. >>Very relevant, right on Mark. Data is now creating value and datas like software. It's enabling value. Splunk software and solution platform has done that and this new new grounds to take. But you're now setting the agenda for the brand and the company tell us, I mean, it's a marketer's dream. What can I say? It's a, you know, I joined nine months ago and when I was interviewing for the role, I remember Doug Merritt saying to me, Hey, you know, we might be the only $2 billion enterprise software company that nobody's ever heard of. Amy said, I want to go solve for that. Right? Like the folks who know Splunk and our customers, they love us, our product is awesome and our culture is awesome, but the world doesn't know about us yet and we haven't invested there. So I want to go take the brand to the next level. >>And I want the world to understand what data use cases are out there that are so broad and so vast. And we believe that every problem ultimately can be solved through data or almost every problem. And we wanted to set the stage for that with this new brand campaign. Yeah. Just on a personal note. And following the journey of Splunk, a scrappy startup goes public and growth modes. When you're a growth Moe is hard to kind of lay down foundational things like branding and whatnot. But now sponsor leader, we did a poll within our community and for cloud and on premise security, Splunk's the number one supplier for just laws with workloads. And then now cloud security is kicking in. So the relationship to Amazon, Google cloud platform and Azure is a critical part of Splunk is now the leader. So leaders have to do things like make sure that their brand's good. >>This is what you're doing. Take us behind the scenes of the branding, the things you chose and data for everything. Yeah. D the little small nuance data to everything. Um, and the reason behind that was we believe you can bring and we can enable our customers to bring data to every question, every decision and every action to create meaningful outcomes. And the use cases are vast and enormous. We talked about some of them before the show started, but helping look at global law enforcement, get ahead of human trafficking through SPOHNC and spelunking. What's going on across all sorts of data sources, right? Helping zone Haven, which is our first investment from Splunk ventures, which startup that's actually helping firefighters figure out burn burn patterns with fire wildfires. But also when temperatures and humidity change where sensors are, they can alert firefighters 30 to 45 minutes earlier than they would usually do that. >>And then they can also help influence evacuation patterns. I mean it's, it's remarkable what folks are doing with data today and it's really at the, at the core of solving some of the world's biggest issues. It's hard to tell a story for a company that solves some of the use cases. Yes. Because depending on who you talk to, that's the company. This is what we should be telling them. I know you do this over here, so when you're horizontally creating this kind of value, yeah, it's hard to kind of brand that because it will get a lot of opinions because you're doing a lot of different things. There's not like one vertical. That's right. So this is the challenge that most B to B marketers will fall on the trip. We do this because we have a lot of customers in this one segment. But yes, you guys are hitting so much more. >>How did you deal with that? Ha, we had a lot of talks about it, a lot of discussions, a lot of debate and I love diversity of thought. It usually drives the right outcomes, but we had a lot of this, this is not an easy answer. If it had been, it would have been done years ago and we really talked about setting the stage for where, you know, I love the Wayne Gretzky quote about skate to where the puck is going and that's what he always did and that's why he was so good. We believe there will ultimately be a data platform of platforms and we believe Splunk is that platform, right? And so that's where the industry's going. We wanted to cast a net that would take us there so that this is the beginning of a brand evolution for us and not a total rebrand, but it's setting the stage for a category creation that we believe is coming in the industry. >>A few. You guys are smart and I think my observation would be looking at some of our 10 years of reporting and sharing some on digital is that all the conversations around data is impacting the real world. Yes. You see Mark Zuckerberg and on Capitol Hill having the answer to the date of debacles, he has cybersecurity attacks, national security, um, ransomware taking down cities and towns. This is a real impact. Forest fires disrupting rolling blackouts. So technology's impacting real world lives. That's right. This is really new to tech. I mean usually behind the scenes, you know, coding, but not anymore. We're the front lines of real societal, global. Yes. Jade is at the forefront and it's really exciting. It's also frightening, right? Because we believe data presents the greatest opportunity for humanity, but also some of the greatest threats. And so hence our ability to really dig in on data security. >>It's important to do that while we're actually also surfacing data to solve real world issues. You've been in the industry for a while and when you came to Splunk, boasts a couple of things that surprised you as you, you had some thoughts going in, you knew Splunk. Yes. What are some of the things that surprised you when you got here? Oh, I mean, in such a good way. A few things, you know. Well, here's the story. Three days into being at Splunk, my dad got very ill and I wasted him to Austin for heart surgery and he actually didn't make it. Um, and so it's been a rough year to say the least. And uh, the way that Splunk's culture, I knew about it before I came, but the way that this company treated me, like I had been here 10 years, uh, when I'd really only been an employee three days was something I'll never forget. >>And it's, it's special. Um, and so I believe that companies are successful if they are smart and healthy and in Splunk has the healthy and droves and not just the compassion and the empathy, but you know, a very transparent culture. We debate things, we talk about things, we support each other. We are accountable. And I believe that's a big part of why we've grown so fast because our culture is incredibly healthy and very, um, collaborative as a team. I'm sorry for your loss. Thank you. Um, you mentioned the culture is a big part of Splunk. Yes. In talking to some of the folks that spoke over the years, there's no, I will, I'll totally say this. There's no shortage of opinions, so have not volunteered. These are robustness. Yes. Diversity of thoughts, very actionable communities. How do you, um, how do you look at that? Because that's a, could be a force, a force multiplier. >>Yes. For the brand. How are you going to tie in to everything with the community? How are you going to harness that energy? Yeah. So it's coming and the reality is data to everything is actually a set up to tell the stories of everyone who is using data today. And so the community is going to be one of the first places we go to surface. Some of those amazing stories. Um, and some of the things you see here at the show are actually showcasing that in the keynote today we heard from zone Haman and Porsche and so many others around their use cases. But the community is where it all begins and that's the lifeblood of our sort of spunkiness and a something that we don't take for granted once. One second. Sorry about the Barack Obama. Yeah. Directions with him and his interest in Splunk. Yeah. So we had our big re rebrand a reveal last month we had an event and it was for C suite type of folks. >>That was a very intimate event and we wanted somebody to keynote that and headline that that really brought to life the whole notion that you can bring data to everything. And president Obama was the first POTUS that actually use data in his campaign strategy. He's very open about that. He's the first president to appoint a chief data scientist to the white house. He's actually exceptionally geeky and very data-driven. And so when we asked him to come and headline this, he actually was really excited about it. Um, and you know, in, in great fashion, his communications team was really strict on curating the questions that we had for him. And he was so cute. He showed up to the event and he said, look, um, I'm so thrilled to be here. I love what you guys are doing and you can ask me anything. It's just like ready to go. >>And he was so wonderful and teed up this, this notion of day bringing data to everything so brilliantly. He's kicking, dig and be ad live all the time. He's very colorful as well as personality. Yes. He's kind of nerdy and you know, he was very open and OpenGov too. One of the things that I remember and when big data really started rolling into the scene around 2009, 2010 yes. You saw that opening up data registries from cities and towns and actually created innovation from health care medical supplies? Yes. Yes. So this has been a big part of it. Huge. You guys are doing some things out here and I see the exhibits we're using the day you're doing demos. How do you see you guys helping society with that? Because if you get to the next level, you've got some great use cases. Yes, the public sector is a big part of some news here. >>Fed ramp is one little technicality, but you got some certification, but government's modernizing now. So you know post Obama, you're seeing modernization of procurement roll with cloud, certainly cyber security. Amazon with the CIA, department of defense, role of data in the military and public sector. Yes, education. This is going to be a disruptive enabler for faults on the public impact. I mean, look, there's, you know, Doug touched on this a little bit this morning, the reality in our press conference, but the reality is if you do it right, opening up datasets to communities of people that can do better together and you can get this collective momentum going. For instance, in healthcare, I mean I'm a little bit of a health care nerd and I don't know if you've watched the PBS special on the Mayo clinic, it's spectacular. But one of the reasons the Mayo has been amazing for years is because their doctors all work off the same systems in every discipline in that facility and they can learn more holistically about a patient. >>And I think about the impact that data could have if we could open up those data sets across every health provider for one person or the same illness with every major institution across the U S collaborating and sharing and what we could actually do to make real impact and strides against some of the diseases that are really crippling society today. So I think that the good that we can do with data, if we open up those data sets and do it in a way that, that it's safe. It's remarkable the progress we can make. You know, one of the from machine learning has been a big success story. Machine learning toolkit. Customers are raving about it. Opening up the data creates better machine learning. AI creates better business value. That's right. That's that part of how you guys see things rolling out. Sure. I mean, as a marketer we use AI today and it's really more machine learning. >>It's sad pattern recognition. But we use, uh, you know, my last stand as a CMO, the last company I was at, we use an AI bot to augment our sales headcount for following up on leads. And it looked like a human being. I mean, same thing for Splunk. I mean, the more we can see pattern recognition, proffer up insights, the better off we are to help out our customers. And so Tim Teles team is driving that hard and fast into our innovation curve with everything that we do. Innovation culture, big time here, right? Huge, huge and one of the reasons I came to Splunk is when I interviewed with Tim and I said, Hey, how are you doing on recruiting engineers in the Valley? We all know that that is liquid gold, and he said that he had hired 370 odd engineers in less than a year and from really big brands like Airbnb and I thought, all right, there's some really cool innovation going on here. >>If some of the best engineers in the Valley really want to come work here and they want to work for a great leader, and Tim and his team are that. so.com is 10 years now this year has been riding the wave together. It's been fun. Your first, my very first dotcom. Yes. Your thoughts on this, on this community, this event. Share your, your thoughts. I mean I'm blown away and this is a team sport. I'm so proud of the events team, the creative team, the sales teams, everybody who's come together to make this event so spectacular. It's just sort of mind numbing that a company of our size can put on such an experience for our user community, but I'm also thrilled with the engagement. We have over 300 sessions this week and most of them are user and customer use, case driven and the stories they are telling are magnificent. >>They're doing this all with Splunk, so it's pretty special. And the ecosystem and the app showcase is pretty hot here. You're seeing real applications, people writing code on top of Splunk? Yes, it's, it's, I'm sorry I don't use this word often. I'm 48 but it's rad. It's so cool. Yes. Harry, thanks so much for coming on the cube and sharing your insights. Absolutely. Final thoughts for the people who aren't here at the event, watching on camera, what, how would you encapsulate.com this year? What's the top story that needs to be told? I mean, look, the reality is that we are bringing data to way more than just security and it ops, which has been our core use cases forever, and they will continue to be, but folks are that are not incredibly data literate or through Splunk bringing data to everything and solving some big gnarly issues in the world. And it's pretty exciting stuff. So check us out. All right. Thanks. Gnarly red. Cool. I need a surf board, Jerry. Thanks for coming on Friday. Thank you so much. Coverage here@thetenth.com I'm Jennifer with the cube, bringing you all the action here in Las Vegas. Three days of cubed wall to wall coverage. We've got one more after this short break.

live from London England it's the cube covering dot next conference Europe 2018 brought to you by Nutanix hi and welcome back on with you pissed car and I'm Stu Mittleman and welcome to the CTO segment at Nutanix next 2018 welcome back to the program to my right is Vinnie Gill who's the CTO of cloud services and to his right is Rajeev Murray ani not very honest I mean you know the CTO of cloud platforms a gentleman thanks so much for joining us again thanks dude for having us being back all right rajiv and Binny mechanics it's been kind of busy since last time we've chatted AOS got really a file system rewrite there's been some M&A integration going on as well as organic activity so you know I love talking the CTO is just if you can bring us inside a little bit you know what's been happening what your team's been working on some of the hard challenges I mean things like page be nested hypervisor on top of DCP you know these are some hard challenge getting ready for nvme over fabric you know so some real you know massive things that happen underneath the cover as well as some new products so didn't want to start with you it's tough yeah you know what I'm keeping you to your team busy oh the teams have been quite busy especially you know once you have you know more than 10,000 customers and a product that's earning a lot of revenue coming in and at the same time you have to change the dark surfer preparing for the next generation so it's a lot of work I mean if you're starting from scratch it's much easier whether you know we've had a lot of experience bringing in new capabilities making it transparent to the customer one-click upgrade is really important for us so learning from the past we have been able to rewrite the engine the storage in a way that customers wouldn't notice but it's gonna run just faster you know kudos to the team that they've pulled it off and it goes across the board when we are acquiring new companies that come into the fold of the Nutanix family the whole idea is to make it look seamless to the customer because that's one thing that you know customers know us for like hey is the willit have neutronic simplicity so a lot of learnings we have created some thumb rules to guide people coming in and those are working fine for us and there's you know a method to the madness over here there is in the end one vision that we want to provide a true hybrid cloud experience to our users do that we feel you're the first start by building the best private cloud you can't have hybrid without private and to do that we need to have an infrastructure that actually works for private cloud so we start with HCI as an initial platform we build on top of that with private cloud features and not just still a networking compute and storage like in the past but more platform services like era and carbon and so on and then once we have that we can then layer on the new hybrid cloud services so even though it looks like getting a lot of things it's all guided by that one region so tell me you know that hybrid that hybrid cloud vision you know where doesn't lead us doesn't lead us to you know the public cloud in the end does it lead us to a new 10x cloud where where does that help customers go towards well the way I look at it is that it doesn't lead to any one place it leads to multiple clouds there'll be private clouds of the edge clouds distributed clouds big central public clouds the important thing is can you move applications and data between between flowers and analogy I use is you know 20 years ago if you if you were writing applications to Solaris you were pretty much locked into Sun if you go by writing applications for hp-ux you were pretty much locked into into HP once Linux came along and made it possible to write applications for any x86 everywhere got independence from from from underlying hardware and the same thing will happen with cloud today you have to write applications for Amazon for GCP for Asha who can build an operating system that actually commoditize is all that that makes it possible for you to run on any cloud with the same set of applications so that kind of sounds to me like you're you know doing V motion and H a India res but then you know for a new generation of technologies well not be motion across clouds is of course the goal it is the goal but it's not just enough to move the applications around data around you have to move the management plan has to be the same so the lot more to it than just simply copying by it's across maybe you want to add to it yeah I mean basically adding to what Rajeev said if you ask where will hybrid cloud lead I think it leads to a dispersed cloud you know some of it was also mentioned by readers in the keynote which is you know this big monolithic cloud concept has to atomize into much smaller pieces and distributed and that's what's going to happen but you start with solving it at the hybrid and at least solve it for two and from two you go to many and that's what's really exciting yeah it's a really good point then I want you to help expand on that a little I I think back to companies that don't portfolios and you look at it and say okay well I product a B and C and boy I I don't know how to use those together because they for an inner basis and how do I work them together today you know I think micro-services architecture I think about api's pulling everything together what are those guiding principles that you give internally to teams to make sure that I can use the pieces that I want they work all together they work with you know there's really broad ecosystem you have and all these multi cloud environments so you know as much effort we put in building architecture for the product design I mean we have to put the same amount in terms of how is it going to be consumed by the customer in just having a long portfolio is no longer what customers are looking for looking for simplicity so to your point one of the things we are really careful about is especially when we are acquiring technology in organically is how do you make sure identity and billing is it's the same right that's the most important thing so you don't have to login once in this product once natural basic stuff but if you get it you know right it's just delightful the other thing is about experience developer experience and user experiences these are the two other out of the four factors user experiences around like do I have to learn this again like if you look at companies like Apple I mean if I've used the Mac use they try to make it very similar such that even a two-year-old can figure out how to use it and we would like to say that if you have been an IT industry for two years you should be able to use any Nutanix product and developer experience is around api's we have a standard that we have Jade version three intent full api is and that is creating a standardization across you saw a little bit of the opening the demo today there you know I went through calm and epoch and flow and prison throw all from one pane of glass it didn't look like four different products in fact why not mentioned there were four different products it probably wouldn't have been obvious that they were and that's important to us keeping that experience seamless is very important and that comes at a cost I mean it's we could have released it as soon as we acquired some of these things and punted it on to the customer to figure out how these pieces come together but we know our customers have a higher expectation from us so we take the time and from from that perspective you know as a as a user you know I'm used to working with different types of clouds public private I wrote anything in between and the amount of interfaces I have to touch to get you know something working to get a series of products to to align to do what I wanted to do that's becoming such a difficult task that you know having a single interface or having a familiar interface would actually help in that so maybe you can talk a little while use that UI to go into the public clamor into the hybrid cloud as well to make you know that experience easier as well talk about a couple of things one whenever there's a proliferation of technologies and you're trying to glue it together I mean single pane of glass is one thing that people talk about I think that's not the most important thing I mean obviously it's a requirement it's a necessary condition not a sufficient one to make it sufficient you also have to bring in opinion into the design and the opinion is where we are taking some decisions for the customer where you know the customer would care about learning about those things and that's where no tonics will come in and through our best practices we put our opinion in the design of the product so that the number of decision points where the customer is minimize and that's how you basically start consuming this diversity out there at the end of the day for the business the only two things matter that business logic and business data infrastructure is sitting in the middle lights it's like a necessary evil so you know if we can hide it and make it seamless you know customers really happy about it can you talk about that the feedback loop you have with customers things are changing very fast you know it's hard for anybody to keep up you know this week even you know hoot anacs has a lot of announcements that I'm sure will take people all the time to there how do you get the feedback loop to customers to make sure your your they're getting what they need from to understand your products and your understanding where they are in their journey and you know mature the product line yeah I mean we have a whole bunch of channels we have we just had a customer advisory board yesterday you know invite customers and have a really deep intimate conversation and frank conversation you know what's working for you what's not working we have our engineering team on slack channels and whatsapp channels with our customers especially the customers who are really you know they complain about a product and they have opinions amenity so we just try to short-circuit this thing and then it's all about empathy so getting a team note here the customers just absolutely retrieve I definitely want your pin but just feedback actually I talked to a few customers and they said I don't know how Nutanix does it but for a company their size I feel like I get personal attention in touch points so congratulations it's good the stuff you saw today is a direct result of the feedback the grouping of products into core essentials and enterprise kind of also reflects the customer journey a lot of customers start with us for with the core once they get used to that get their sense as far as build a true private cloud and only then they started looking at multi cloud so right products for the right customer it's something that we are taking very very seriously at this point so I want to dive into that you know right product right customer so one of the announcements you made is carbon had kubernetes as as a manager platform so what customers do you do you service with that product how do you go into customers like that and how do you help them kubernetes is one of the most fastest growing technologies in the IT space that we have seen in the in the recent years and a lot of our customers I would say especially this year we have seen they have developers using containers and they are at a point where they're trying to decide how can I put it in production a production has a many requirements their carbon is being used by our customers who are trying to see how they'll put containers into production and what we are doing with carbon is we providing native kubernetes api Zsasz is there an open source but we're solving the heart problems of upgrades scale out high availability troubleshooting these mundane things that you know usually people don't want to do and that's where we come in and help so I've seen customers use our storage volumes for even databases containerized to stateless things it's all across the board but still early years I mean for this kind of ecosystem but it's headed into you know it's going to be the future you know one of the things I found really interesting to watch is over the last two decades we've talked about intelligence and automation in infrastructure but really things are happening fast now when you talk about you know whether a I or ml there's really things that are creating some intelligence that it's not like oh I created some script and it does something but you know it's working well I know there's a number of places that that fits into your portfolio maybe maybe prism X play it would seem to get some good resonance and cheers from the audience because maybe they've all played with you know the you know if TTT so start from there and how do you think about the AI in ml space yeah so we we look at you know computing evolving from manual mostly manual in the past to more automated but really you want to get to this autonomous computing that that sort of talked about so you know think of it as you know causes to be really difficult to drive in the past it used to require knowing how the carburetors work and cleaning them out once in a while to the point where maybe 15 years ago pretty much didn't know anything about the internals of a car but you could drive it was reliable it would work which is probably where we are today in IT but the real goal is to get as an autonomous computing the self-driving cars at Tesla Google now where you don't even have to be paying attention at the car will just drive itself yeah I have TTT and the x-play stuff that we have as a step in that direction it's obviously very early but it's the beginning of a journey where you can then start taking feedback loops learning what works modeling that out and extending capabilities on your own and that is something we'll be looking at over the next few years and you know it's something where I don't think it's it's not cute and that's why it needs to be done it's actually required you know if you look at Moore's law it applies to machines so every year you will have double the number of course and you know the same dollar can buy more if you look at humans that's not true I mean ever here then you're only getting more expensive in fact lower for customers here say talent is scarce so just by that definition you see machines are growing and the people who manage the machines are shrinking or you know static so you have to put in a layer of the machine which is smart in the in the between in between of the human and the large form of machines and that if you don't do it there is no data center so it's inevitable and you'll see this happen more and more so that kind of sounds like you're you know positioning your portfolio in a way that you enable the IT of people to not care about infrastructure as much anymore but help you know the their employer their customer do other stuff so how does your portfolio relate to the freeing up of time for those employees for those jobs personnel people some of it is just goes back to the poor design principle I would go to them basic you know how do we how do we start as a company we're looking at storage and they were dual controller a and B a ties B is running but guess what I'm worried that B will also die is the same age so I have to run to fix a run to fix a is my weekend and the night wasted if I had n one dies fine of it's a capacity problem so that goes to the core like how do we design things that are scale out and web scale we talked about so everything that we do including now prism central scale out I have to rush to go fix things hardware will always fail right and that's you know it permeates in the entire organization in terms of how we design things and then on top of that you can add automation and machine intelligence and all that but fundamentally it goes to engineering when you talk about we talked about earlier in the discussion kind of the rewrite that went on for emerging applications and emerging technologies I guess what's exciting you these days you know the industry of the Hall containers you know we looked at you know Flash technology containerization you know I looked at Nutanix when it first came out as was you know some of these waves coming together hyper scale and software-defined and flash all kind of with a perfect storm for the original generation what what are what are those next waves coming together that that you think will you know have a massive impact on the industry a lot of innovation going on on every layer of the stack I mean if we start with the hardware it's been coming for a while but it's almost here now the whole concept of having persistent memory essentially dims blocks having memory that can persist across reboots and we byte addressable so this is a big difference for the storage market right we've always had block addressable story let's become flight addressable paradigms of computing will change and Wharton's will change how we write programs will change so there's a whole big wave coming and getting prepared for that was very important for you yeah and if I control into that a little bit cuz you know what I thought about you know before it was I had you know like like pull of storage and my full of compute and I had my networking and well you know what your solution is I just have a pool of infrastructure but I need specific data in specific places and latency is really important you know Amazon just announced do you know a new compute instance with hundred gigabit networking for you know the same type of application we're talking about Hana and persistent memory and the like so do we not think of it as a pool anymore it's a here you know metadata and data are gonna get more localized so how should we think of your infrastructure going forward you should think of it as a fool we should worry about making it all all work well and that's that that is essentially our job if we can succeed at that then you would never have to think about it as well this particular you know storage is allocated with this particular application at this current time it's up to us to make that happen as applications are running from your direction you feel you know absolutely another thing that's happening in IT in the in the space of compute is the upper limit of this pool is being hidden right so for example in the old days those discs then there was a virtual disc but it had a capacity and you would format it when you look at s3 doesn't have a capacity you don't format it that's what's and that's more to application design when you don't think about the capacity of the pool that you're using that's the direction where we need to go and hide all this right Amina so just-in-time purchase of the next hardware that you need to get but the developer does not see the upper limit well retrieving Binnie thank you so much for sharing all that this Congrats on all the progress and look forward to what were you gonna bring on down lives down the road thanks to you for you piss car I'm Stu minimun lot more coverage here and Nutanix dot next London 2018 thanks for watching

>> Announcer: Live from Las Vegas, it's theCUBE! Covering Informatica World 2018. Brought to you by Informatica. >> Hey welcome back, everyone. Live here in Las Vegas, this is theCUBE's coverage of Informatica World 2018. I'm John Furrier co-host of theCUBE with Peter Burris, my co-host for the next two days. Chris Wojdak who's the Production Architect at Symcor, a Canadian leading financial processing services provider. Welcome to theCUBE. >> Thank you, great to be here, guys. >> So first explain, about in one minute, what the company does and your role. >> Yeah, so Symcor was formed by the three largest banks in Canada, over 20 years ago. We have a proven ability to work effectively as a utility service structure type of model. Symcor is a leading business processing and client communications provider in Canada, supporting banks, telecommunications, insurance, and retail companies in Canada. >> John: And your role there is to do what? Deployment of data, deployment? Be specific. >> Yeah, specifics, one of the things that I work on is strategic initiatives. Everything from data-driven architectures to the strategies, where we want to take the company and how do we, how does the technology line up to the business needs. Such that I'm a Senior Architect in the office as a CTO. >> So what's your data look like? I mean, obviously, you're an Informatica customer. >> Are you happy with Informatica? And are they helping you out? And what's the, tell us about, tell us what's going on. >> Anybody who knows me will know that I'm a pretty blunt guy, so when I say this, I do mean it is, Informatica has done tremendous things for us. Their products actually just work. It's very easy to get value out of our data using Informatica. Our time to market has decreased from months to weeks with them. So we're extremely happy with the maturity of their products and services that we get from them. >> So as you think about the role that, that the architecture's played, and you being a, a good example of that. The architect used to be the individual that would look at the physical assets, and how you thought about the physical assets should be put together in response to a known process, >> Chris: Correct. >> and a known application. And now, as you mention, a data-first orientation requires thinking about the arrangement of assets that have to be architected around very differently. >> Absolutely. >> How has the role of architecture changed? Certainly where you are, but in response to this notion of data first. >> Yeah, so one of the biggest challenges that we have is how do we ethically use that data for fraud prevention and detection purposes 'cause that's one of the key areas that we're trying to grow as one of our key initiatives, which is digital and data services. And where we struggle with that is how do we effectively use our data? So we work with our internal teams, like our privacy and data governance teams to come up with a data governance policy, a comprehensive one at that. How do we ethically use this data now for our services? That's the biggest thing that's changed as opposed to just taking our process and gluing it together. How can you use that without breaking laws and things like that? That's the biggest change I see. >> And what's the relationship between architecture, data architecture, or architecture generally and the role that security's playing? We have a feeling that because data can be shared, because it can be copied, 'cause it can be moved, privatizing that data is essential to any business strategy and security historically has played a major role in thinking about how we privatize data. How does security fit into that governance, ethical kind of model? >> Yeah, and we are a security first type of company over anything else a lot of times. They definitely have a seat at the table. We've had to deploy certain things, I'm not sure if you heard of format preserving encryption architectures and techniques to help enable not only to satisfy the governance, but to drive value legally to our businesses, and our clients. >> How do you look at data as a platform, and how is your data laid out? You made a comment earlier which I liked, which was, Informatica products just works. We've been covering them for a few years. One of the things that got my attention was horizontally scaling the data across systems, not just a point product, >> Chris: Exactly. >> more of a platform. How, from your standpoint, do you look at platforms for you? As you re-platform with data, you are digitizing a lot of services, you're actually enabling new services. What is it about the data platform, and how are you guys thinking about it? >> Well, when we're thinking about it, how do we manage data in a centralized spot, and deliver microservices on top of that data in one spot? How do we, because we can't afford to have data in a million data warehouses, or sporadically throughout the organization, it's not an effective use of data. So the way we've tried to structure it is as soon as we get the data in, we keep it in one spot, which in our case would be the Tera Hadoop cluster. Fully encrypted using format preserving encryption as our mechanism to securing the data. And then from there, running microservices on top of our Hadoop stack power byte Informatica, to drive value out of that data. And where the biggest bang for our buck a lot of times is is that, mainly we have old mainframe data file structured data that's hard to parse and deal with. Well, we can store it in Hadoop, save the space, 'cause it's highly compressed, like X9 or EBCDIC, use Informatica to just get at it in a matter of minutes, to drive value in weeks versus months in a traditional model >> Talk about the microservices architecture because that's kind of a methodology, kind of a mindset. Is it like the classic cloud, Kubernetes containers, or you think of it more of endpoint APIs, talk about how you define microservices. >> Yeah, so microservices, where we've leveraged microservices is essentially in our in our new development models where we're utilizing node.js, and react, single page application development, where we have this in the front end just talking to microservice, specifically, delivering on a specific need only. And then we're leveraging things like, for instance, Kubernetes in the backend, where we deploy those microservices, but we're dealing with it from a single page application perspective, really the more modern web development approach is. >> So you're bringin' data into the application, via microservices, so you can have the centralized location, microservices handles the interaction, and it inputs that into the application? >> Right, and then which also, we have to rework the security infrastructure, and approach to it, because we couldn't use the old school, let's see, Jade session, cookie, now we're using token-based authentication, and all these challenges there, right? >> Hey, I love it, we're at a data show, and we're talkin' Kubernetes, and orchestration containers, and microservices, and it's awesome. (laughing) (Chris laughing) >> But that's what those, that's what those technologies are deployed for, right? >> I know, I'm just saying, it's great! >> But I want to push you on this. >> Chris: Yeah, sure. >> So, today, Symcor provides, as you said, a, this enormous facility for looking up past banking transactions or past banking statements for a variety of different banks in Canada. But, I presume you're looking at providing new services in the future. I can imagine that a centralized resource for a human being looking up an old banking statement, well you got, four, five seconds to get the job done, it's probably pretty good. But when you start talking about, maybe moving to fraud detection, or some other types of services, does that start to change the way you think about your data architecture? 'Cause now you're doing something that's much more close to real-time, how's that going to effect the way you think about things? >> Oh, it was a, we've been on a journey, right? On a digital data transformation journey, literally at Symcor because of that. We started off with some in-house built solutions that we have actually patents on, on how to properly warehouse data. We have one of the largest Canada data warehouses for check images, like a 2.6 petabytes in Canada, and we have to somehow, how do we drive value out of this as a data warehouse type of mentality solution, how do we drive value? So how do we move now into more of the Hadoop, the Cassandra's world, to get that real-time batch processing and get insights, and how do we do that ethically as well, right? And secure, how do we secure? Those are the three biggest things that we have to look at in our journey to get there, hasn't been easy, 'cause different paradigms, different understandings-- >> So let me make sure I got that, new technologies to reduce the response times, ethical use of the data, >> The data. >> and secure control in reference to the data? >> Correct, to protect it, yes. >> So how is that changing then, how you think, do you see it staying centralized, do you see it becoming, moving some of the data, some of the responses out closer to some of your banks, who are actually doing the fraud detection? >> Well, we see it, 'cause we're trying to get into this space, and do it on their behalf because, we have that overarching kind of look at this, so how do we just do it ethically, right? So, when some of our owner banks, for example, send this data, well we can provide services overarching to provide insights across the board, something they can not let's say, do on their own, without our help, type of thing. >> Real quick, define data ethics, 'cause you mentioned ethics many times. Do you mean securely, anonymized, what does that mean for you? >> Well, to me it means like that old, you know, 20 years ago for example, I would take my wallet, maybe put it in my vault, in my vault at home, physically protected, it's safe. Well how do I protect that data now, not only from potentially breaches, but how do I protect to make sure my privacy isn't at risk, that someone's not using it for, for improper use, things like that, that's how define ethical use, right? >> What're you doin' now that you couldn't do before, we're seeing this awesome cloud, you mentioned, Kubernetes gets me pumped up, because that's kind of a horizontal orchestration, you talk about multi-cloud, these are things that are, coming into sight with those kinds of technologies. There's an old way, there's a new way, right? (laughs) So we're seeing this transformation, what's different now for you, that you couldn't do before? >> Yeah, before it was hard to drive insights, because we didn't have the scalability horizontally, or vertically, so things like Hadoop, Informatica and Hadoop the way we can scale our web applications with microservices that's what's made the big difference, is the techniques that are being developed to get down to real-time processing, get the answer quicker and faster, and drive value to our clients faster. What's really important is, when they moved to digital channels, you know, fraud becomes a problem it's growing, in incidents and complexity. We see an opportunity now, where we can provide this fraud detection and prevention services as they change and go to digital channels, were there for the ride, type of thing. >> Chris, it's a great interview, I'd love to follow up with you and learn more about your environment. Final question, I heard you got the Informatica innovation award honoring, congratulations! >> Thank you. >> Advice to other folks doing cutting edge stuff that might be interested in in that kind of status? >> Yeah, words of advice there would be, try to push the limits. Never give up, try to push the limits on the design patterns and design approaches. You'd be amazed at what you can achieve if you really push those limits. >> Great story, love what you guys are doing out of Canada, Toronto area, Chris thanks for comin' on theCUBE, appreciate your stories. theCUBE live coverage here in Las Vegas for Informatica World 2018, I'm John Furrier, Peter Burris, we'll be back after this short break. (bubbly music)