(upbeat music) >> Hello everyone, welcome back to theCUBE's coverage of splunk.com 2021 virtual. We're here live in the Splunk studios. We're all here gettin all the action, all the stories. Garth Fort, senior vice president, Chief Product Officer at Splunk is here with me. CUBE alumni. Great to see you. Last time I saw you, we were at AWS now here at Splunk. Congratulations on the new role. >> Thank you. Great to see you again. >> Great keynote and great team. Congratulations. >> Thank you. Thank you. It's a lot of fun. >> So let's get into the keynote a little bit on the product. You're the Chief Product Officer. We interviewed Shawn Bice, who's also working with you as well. He's your boss. Talk about the, the next level, cause you're seeing some new enhancements. Let's get to the news first. Talk about the new enhancements. >> Yeah, this was actually a really fun keynote for me. So I think there was a lot of great stuff that came out of the rest of it. But I had the honor to actually showcase a lot of the product innovation, you know, since we did .conf last year, we've actually closed four different acquisitions. We shipped 43 major releases and we've done hundreds of small enhancements, like we're shipping code in the cloud every six weeks and we're shipping new versions twice a year for our Splunk Enterprise customers. And so this was kind of like if you've seen that movie Sophie's Choice, you know, where you have to pick one of your children, like this was a really hard, hard thing to pick. Cause we only had about 25 minutes, but we did like four demos that I think landed really well. The first was what we call ingest actions and you know, there's customers that are using, they start small with gigabytes and they go to terabytes and up to petabytes of data per day. And so they wanted tools that allow them to kind of modify filter and then route data to different sort of parts of their infrastructure. So that was the first demo. We did another demo on our, our visual playbook editor for SOAR, which has improved quite a bit. You know, a lot of the analysts that are in the, in the, in the SOC trying to figure out how to automate responses and reduce sort of time to resolution, like they're not Python experts. And so having a visual playbook editor that lets them drag and drop and sort of with a few simple gestures create complex playbooks was pretty cool. We showed some new capabilities in our APM tool. Last year, we announced we acquired a company called Plumbr, which has expertise in basically like code level analysis and, and we're calling it "Always On" profiling. So we, we did that demo and gosh, we did one more, four, but four total demos. I think, you know, people were really happy to see, you know, the thing that we really tried to do was ground all of our sort of like tech talk and stuff that was like real and today, like this is not some futuristic vision. I mean, Shawn did lay out some, some great visions, visionary kind of pillars. But, what we showed in the keynote was I it's all shipping code. >> I mean, there's plenty of head room in this market when it comes to data as value and data in motion, all these things. But we were talking before you came on camera earlier in the morning about actually how good Splunk product and broad and deep the product portfolio as well. >> Garth: Yeah. >> I mean, it's, I mean, it's not a utility and a tooling, it's a platform with tools and utilities. >> Garth: Yeah >> It's a fully blown out platform. >> Yeah. Yeah. It is a platform and, and, you know, it's, it's one that's quite interesting. I've had the pleasure to meet a couple of big customers and it's kind of amazing, like what they do with Splunk. Like I was meeting with a large telco on the east coast and you know, they actually, for their set top boxes, they actually have to figure out in real time, which ads to display and the only tool they could find to process 15 million events in real time, to decide what ad to display, was Splunk. So that was, that was like really cool to hear. Like we never set out to be like an ad tech kind of platform and yet we're the only tool that operates at that level of scale and that kind of data. >> You know, it's funny, Doug Merritt mentioned this in my interview with him earlier today about, you know, and he wasn't shy about it, which was great. He was like, we're an enabling platform. We don't have to be experts in all these vertical industries >> Garth: Yep >> because AI takes care of that. That's where the machine learning >> Garth: Yeah >> and the applications get built. So others are trying to build fully vertically integrated stacks into these verticals when in reality they don't have to, if they don't want it. >> Yeah, and Splunk's kind of, it's quite interesting when you look across our top 100 customers, you know, Doug talks about like the, you know, 92 of the fortune 100 are kind of using Splunk today, but the diversity across industries and, you know, we have government agencies, we have, you know, you name the retail or the vertical, you know, we've got really big customers, they're using Splunk. And the other thing that I kind of, I was excited about, we announced the last demo I forgot was TruSTAR integration with Enterprise Security. That's pretty cool. We're calling that Splunk Threat Intelligence. And so That was really fun and we only acquired, we closed the acquisition to TruSTAR in May, but the good news is they've been a partner with us like for 18 months before we actually bought em. And so they'd already done a lot of the work to integrate. And so they had a running start in that regard, But other, one other one that was kind of a, it was a small thing. I didn't get to demo it, but we talked about the, the content pack for application performance monitoring. And so, you know, in some ways we compete in the APM level, but in many ways there's a ton of great APM vendors out there that customers are using. But what they wanted us to do was like, hey, if I'm using APM for that one app, I still want to get data out of that and into Splunk because Splunk ends up being like the core repository for observability, security, IT ops, Dev Sec Ops, et cetera. It's kind of like where the truth, the operational truth of how your systems works, lives in Splunk. >> It's so funny. The Splunk business model has actually been replicated. They call it data lake, whatever you want to call it. People are bringing up all these different metaphors. But at the end of the day, if you guys can create a value proposition where you can have data just be, you know, stored and dumped and dumped into whatever they call it stored in a way >> Garth: We call it ingest >> Ingested, ingested. >> Garth: Not dumped. >> Data dump. >> Garth: It's ingested. >> Well, I mean, well you given me a plan, but you don't have to do a lot of work to store just, okay, we can only get to it later, >> Garth: Yep. >> But let the machines take over >> Garth: Yep. >> With the machine learning. I totally get that. Now, as a pro, as a product leader, I have to ask you your, your mindset around optimization. What do you optimize for? Because a lot of times these use cases are emerging. They just pop out of nowhere. It's a net new use case that you want to operationalize. So balancing the headroom >> Yep. >> Or not to foreclose those new opportunities for customers. How are customers deciding what's important to them? How do you, because you're trying to read the tea leaves for the future >> Garth: A little bit, yeah. >> and then go, okay, what do our customers need, but you don't want to foreclose anything. How do you think about product strategy around that? >> There's a ton of opportunity to interact with customers. We have this thing called the Customer Advisory Board. We run, I think, four of them and we run a monthly. And so we got an opportunity to kind of get that anecdotal data and the direct contact. We also have a portal called ideas.splunk.com where customers can come tell us what they want us to build next. And we look at that every month, you know, and there's no way that we could ever build everything that they're asking us to, but we look at that monthly and we use it in sort of our sprint planning to decide where we're going to prioritize engineering resources. And it's just, it's kind of like customers say the darndest things, right? Sometimes they ask us for stuff and we never imagined building it in a million years, >> John: Yeah. >> Like that use case around ads on the set top box, but it's, it's kind of a fun place to be like, we, we just, before this event, we kind of laid out internally what, you know, Shawn and I kind of put together this doc, actually Shawn wrote the bulk of it, but it was about sort of what do we think? Where, where can we take Splunk to the next three to five years? And we talked about these, we referred to them as waves of innovation. Cause you know, like when you think about waves, there's multiple waves that are heading towards the beach >> John: Yeah. >> in parallel, right? It's not like a series of phases that are going to be serialized. It's about making a set of investments. that'll kind of land over time. And, and the first wave is really about, you know, what I would say is sort of, you know, really delivering on the promise of Splunk and some of that's around integration, single sign-on things about like making all of the Splunk Splunk products work together more easily. We've talked a lot in the Q and a about like edge and hybrid. And that's really where our customers are. If you watch the Koby Avital's sort of customer keynote, you know, Walmart by necessity, given their geographic breadth and the customers they serve has to have their own infrastructure. They use Google, they use Azure and they have this abstraction layer that Koby's team has built on top. And they use Splunk to manage kind of, operate basically all of their infrastructure across those three clouds. So that's the hybrid edge scenario. We were thinking a lot about, you mentioned data lakes. You know, if you go back to 2002, when Splunk was founded, you know, the thing we were trying to do is help people make sense of log files. But now if you talk to customers that are moving to cloud, everybody's building a data lake and there's like billions of objects flowing into millions of these S3 buckets all over the place. And we're kind of trying to think about, hey, is there an opportunity for us to point our indexing and analytics capability against structured and unstructured data and those data lakes. So that that'll be something we're going to >> Yeah. >> at least start prototyping pretty soon. And then lastly, machine learning, you know, I'd say, you know, to use a baseball metaphor, like in terms of like how we apply machine learning, we're like in the bottom of the second inning, >> Yeah. >> you know, we've been doing it for a number of years, but there's so much more. >> There's so, I mean, machine learning is only as good as the data you put into the machine learning. >> Exactly, exactly. >> And so if you have, if you have gap in the data, the machine learning is going to have gaps in it. >> Yeah. And we have, we announced a feature today called auto detect. And I won't go into the gory details, but effectively what it does is it runs a real-time analytics job over whatever metrics you want to look at and you can do what I would consider more statistics versus machine learning. You can say, hey, if in a 10 minute period, like, you know, we see more errors than we see on average over the last week, throw an alert so I can go investigate and take a look. Imagine if you didn't have to figure out what the right thresholds were, if we could just watch those metrics for you and automatically understand the seasonality, the timing, is it a weekly thing? Is it a monthly thing? And then like tell you like use machine learning to do the anomaly detection, but do it in a way that's more intelligent than just the static threshold. >> Yeah. >> And so I think you'll see things like auto detect, which we announced this week will evolve to take advantage of machine learning kind of under the covers, if you will. >> Yeah. It was interesting with cloud scale and the data velocity, automations become super important. >> Oh yeah. >> You don't have a lot of new disciplines emerge, like explainable AI is hot right now. So you got, the puck is coming. You can see where the puck is going. >> Yeah >> And that is automation at the app edge or the application layer where the data has got to be free-flowing or addressable. >> Garth: Yeah. >> This is something that is being talked about. And we talked about data divide with, with Chris earlier about the policy side of things. And now data is part of everything. It's part of the apps. >> Garth: Yeah. >> It's not just stored stuff. So it's always in flight. It should be addressable. This is what people want. What do you think about all of that? >> No, I think it's great. I actually just can I, I'll quote from Steve Schmidt in, in sort of the keynote, he said, look like security at the end of the day is a human problem, but it kind of manifests itself through data. And so being able to understand what's happening in the data will tell you, like, is there a bad actor, like wreaking havoc inside of my systems? And like, you can use that, the data trail if you will, of the bad actor to chase them down and sort of isolate em. >> The digital footprints, if you will, looking at a trail. >> Yeah. >> All right, what's the coolest thing that you like right now, when you look at the treasure trove of, of a value, as you look at it, and this is a range of value, Splunk, Splunk has had customers come in with, with the early product, but they keep the customers and they always do new things and they operationalize it >> Garth: Yep. >> and another new thing comes, they operationalize it. What's the next new thing that's coming, that's the next big thing. >> Dude that is like asking me which one of my daughters do I love the most, like that is so unfair. (laughing) I'm not going to answer that one. Next question please. >> Okay. All right. Okay. What's your goals for the next year or two? >> Yeah, so I just kind of finished roughly my first 100 days and it's been great to, you know, I had a whole plan, 30, 60, 90, and I had a bunch of stuff I wanted to do. Like I'm really hoping, sort of, we get past this current kind of COVID scare and we get to back to normal. Cause I'm really looking forward to getting back on the road and sort of meeting with customers, you know, you can meet over Zoom and that's great, but what I've learned over time, you know, I used to go, I'd fly to Wichita, Kansas and actually go sit down with the operators like at their desk and watch how they use my tools. And that actually teaches you. Like you, you come up with things when you see, you know, your product in the hands of your customer, that you don't get from like a CAB meeting or from a Zoom call, you know? >> John: Yeah, yeah. >> And so being able to visit customers where they live, where they work and kind of like understand what we can do to make their lives better. Like that's going to, I'm actually really excited to gettin back to travel. >> If you could give advice to CTO, CISO, or CIO or a practitioner out there who are, who is who's sitting at their virtual desk or their physical desk thinking, okay, the pandemic, were coming through the pandemic. I want to come out with a growth strategy, with a plan that's going to be expansive, not restrictive. The pandemic has shown what's what works, what doesn't work. >> Garth: Sure. >> So it's going to be some projects that might not get renewed, but there's doubling down on, certainly with cloud scale. What would advice would you give that person when they start thinking about, okay, I got to get my architecture right. >> Yeah. >> I got to get my playbooks in place. I got to get my people aligned. >> Yeah >> What's what do you see as a best practice for kind of the mindset to actual implementation of data, managing the data? >> Yeah, and again, I'm, I'm, this is not an original Garth thought. It actually came from one of our customers. You know, the, I think we all, like you think back to March and April of 2020 as this thing was really getting real. Everybody moved as fast as they could to either scale up or scale scaled on operations. If you were in travel and hospitality, you know, that was, you know, you had to figure how to scale down quickly and like what you could shut down safely. If you were like in the food delivery business, you had to figure out how you could scale up, like Chipotle hit two, what is it? $2 billion run rate on delivery last year. And so people scrambled as fast as they could to sort of adapt to this new world. And I think we're all coming to the realization that as we sort of exit and get back to some sense of new normal, there's a lot of what we're doing today that's going to persist. Like, I think we're going to have like flexible rules. I don't think everybody's going to want to come back into the office. And so I think, I think the thing to do is you think about returning to whatever this new normal looks like is like, what did we learn that was good. And like the pandemic had a silver lining for folks in many ways. And it sucked for a lot. I'm not saying it was a good thing, but you know, there were things that we did to adapt that I think actually made like the workplace, like stronger and better. And, and sort of. >> It showed that data's important, internet is important. Didn't break, the internet didn't break. >> Garth: Correct. >> Zoom was amazing. And the teleconferencing with other tools. >> But that's kind of, just to sort of like, what did you learn over the last 18 months that you're going to take for it into the next 18 years? You know what I mean? Cause there was a lot of good and I think people were creative and they figured out like how to adapt super quickly and take the best of the pandemic and turn it into like a better place to work. >> Hybrid, hybrid events, hybrid workforce, hybrid workflows. What's what's your vision on Splunk as a tier one enterprise? Because a lot of the news that I'm seeing that's, that's the tell sign to me in terms of this next growth wave is big SI deals, Accenture and others are yours working with and you still got the other Partnerverse going. You have the ecosystems emerging. >> Garth: Yep. >> That's a good, that means your product's enabling people to make money. >> Garth: Yeah. Yeah, yeah, yeah. >> And that's a good thing. >> Yeah, BlueVoyant was a great example in the keynote yesterday and they, you know, they've really, they've kind of figured out how, you know, most of their customers, they serve customers in heavily regulated industries kind of, and you know, those customers actually want their data in a Splunk tenant that they own and control and they want to have that secure boundary around that. But BlueVoyant's figured out how they can come in and say, hey, I'm going to take care of the heavy lifting of the day-to-day operations, the monitoring of that environment with the security. So, so BlueVoyant has done a great job sort of pivoting and figuring out how they can add value to customers and do, you know, because they they're managing not just one Splunk instance, but they're managing 100s of Splunk cloud instances. And so they've got best practices and automation that they can play across their entire client base. And I think you're going to see a lot more of that. And, and Teresa's just, Teresa is just, she loves Partners, absolutely loves Partners. And that was just obvious. You could, you could hear it in her voice. You could see it in her body language, you know, when she talked about Partnerverse. So I think you'll see us start to really get a lot more serious. Cause as big as Splunk is like our pro serve and support teams are not going to scale for the next 10,000, 100,000 Splunk customers. And we really need to like really think about how we use Partners. >> There's a real growth wave. And I, and I love the multiples wave in parallel because I think that's what everyone's consensus on. So I have to ask you as a final question, what's your takeaway? Obviously, there's been a virtual studio here where all the Splunk executives and, and, and customers and partners are here. TheCUBE's here doing all the presentations, live by the way. It was awesome. What would you say the takeaway is for this .conf, for the people watching and consuming all the content online? A lot of asynchronous consumption would be happening. >> Sure. >> What's your takeaway from this year's Splunk .conf? >> You know, I, it's hard cause you know, you get so close to it and we've rehearsed this thing so many times, you know, the feedback that I got and if you look at Twitter and you look at my Slack and everything else, like this felt like a conf that was like kind of like a really genuine, almost like a Splunk two dot O. But it's sort of true to the roots of what Splunk was true to the product reality. I mean, you know, I was really careful with my team and to avoid any whiff of vaporware, like what were, what we wanted to show was like, look, this is Splunk, we're acquiring companies, you know, 43 major releases, you know, 100s of small ones. Like we're continuing to innovate on your behalf as fast as we can. And hopefully this is the last virtual conf. But even when we go back, like there was so much good about the way we did this this week, that, you know, when we, when we broke yesterday on the keynote and we were sitting around with the crew and it kind of looking at that stage and everything, we were like, wow, there is a lot of this that we want to bring to an in-person event as well. Cause so for those that want to travel and come sit in the room with us, we're super excited to do that as soon as we can. But, but then, you know, there may be 25, 50, 100,000 that don't want to travel, but can access us via this virtual event. >> It's like a time. It's a moment in time that becomes a timeless moment. That could be, >> Wow, did you make that up right now? >> that could be an NFT. >> Yeah >> We can make a global cryptocurrency. Garth, great to see you. Of course I made it up right then. So, great to see you. >> Air bump, air bump? Okay, good. >> Okay. Garth Fort, senior vice president, Chief Product Officer. In theCUBE here, we're live on site at Splunk Studio for the .conf virtual event. I'm John Furrier. Thanks for watching. >> All right. Thank you guys. (upbeat music)

>>Studios in Palo Alto in Boston, connecting with thought leaders all around the world. This is a cute conversation. >>Hello everyone. This is Dave Volante. Welcome to this cube conversation. This is a company that we've been following now for the last couple of years in a trend in robotic process automation, and then automation specifically, uh, it's a, it's a company in an area that we really like. Uh, we've been researching this and publishing and Daniel Dienes is here. He's the CEO of UI path. Yeah, it was great to see you again. Thanks for coming on. >>Thank you for inviting me, David. >>That's our pleasure. So let's, let's get an update in your business. You know, we covert obviously you sent everybody for a loop. We had been and have been following you guys quite, quite closely. How's how are things going for UI path? How has the pandemic affected your business? >>We we've designed this company from day one to work in a hybrid mode, local and under, obviously working from anywhere. And the transition to working from anywhere model was a really fast to implement for us. So COVID-19 itself. In the fact of the way we work on the business side, I would say that we are seeing, you know, mixed of events, some, uh, industries that was, that were mostly affected by COVID we're putting their budgets one hole while other industries were increasing 10 times. What I can tell you that in, um, in a nutshell, the numbers for us were really good. We are able to keep eating and beating the thought gets that we set pretty COVID and we focused quite a lot on helping our customers, not the gating through these murky waters. We have quite a lot of, um, involvement in healthcare and federal business. We worked with a few hospitals to help with accelerating the COVID test. In one case, we were able to save two hours a day for every nurse. So instead of filling up paperwork, they are able to focus on the patient. And that's not one isolated instance. We've done tremendous work across the, across the globe. And, uh, you know, we, uh, you know, that we raised our last round in, uh, June end of June. And that was a recognition of our accelerated business, >>Right? Yes. I mean, you raised it in the, of the pandemic, you know, I I've been saying that. I mean, everybody of course says the covert has accelerated a number of trends and I've been saying there's a, that there's now an increased mandate for automation, I think there was before, but yeah, maybe there was some complacency, although you didn't see it in your numbers, you guys obviously growing very right fast. You mentioned healthcare. I would think of banking and financial as well, which of course was a stronghold. But when you think about in the U S anyway, that the payroll protection act and the number of loans that had to be processed, you know, bank bankers would talk to me and say, we are volume, increased two orders of magnitude. We had, we had no way to do it. And they turn to automation to do that. So, so I've said that there is an automation mandate, and I think there, there, there has been because of the productivity gap, particularly in the U S in Europe, you don't see it so much in, in of course in China. Uh, but, but certainly the U S in the last couple of decades has declined in terms of productivity. So, you know, people are not going to be able to solve the world's biggest problems without automation. How are you thinking about that? Um, in, in this post COVID world, >>As you said, the awareness that we have to automate has increased 10 times compared to pre COVID the days. I would not say that yet automation is number one priority on the company's leader's agenda, not in the same way as conferencing and video conferencing, and all this directly affected, positively affected the software industries. But I believe that, uh, while automation is slower to adopt, and it requires a lot more investment to adopt it's, uh, it's gone, uh, dominate the agenda post COVID in the, in the sense that people will have to recoup, you know, all the losses that they had in the COVID, they learn their lessons. And, uh, you know, for instance, I talked to the few CEOs of watch, you know, fortune 500 businesses, and they are telling me, Daniel, I wish that we have started earlier. So now we are seeing, you know, an adoption that is more top down and adoption that is starting from the C level suite, even the CEO of large enterprises. >>Yeah. I mean, it seems to me that if a customer has tasted, you know, the benefits of, of RPA and automation, uh, and as realizes what it can do for their business, they're gonna maybe double down on it, especially in a time when revenues might be under pressure. Uh, and, and you're not hiring a, a no, a lot of people have put, you know, freezes on number of head layoffs. You've got to do more with less you guys. I wonder if you could bring up this, this chart, I want to share this and get Daniel's reaction. So we all were talking about land and expand. So what this is ETR data, and what it does is it asks customers where they're at. Do they know about a vendor in this case? It's it's UI path is on the left and automation anywhere, and then some others, but do you know about the vendor? >>And, and are you planning on, you know, are you evaluating it? Are you planning to implement it? Uh, and this chart shows those respondents that said, yes, we, we, we are a customer. And we, we plan to expand our usage and you can see over the last three surveys that the yellow is even an uptick. And so people, this essentially the takeaway here is that once people taste it, that you land, and then they expand and find new use cases, are you seeing that in your business? And maybe you can give us some, some high level examples we've seen quite the look >>We have today more than 60 customers with, uh, over a million dollars in spending with us, uh, more than, uh, like 800 customers that spend more than a hundred K we've lost. And our net expansion rate is more than 140% consistent over many past quarters that shows a very solid, uh, expansion desire from our customers. And it shows that our technology is very well suitable for large case automation, deployments, enterprise wide, especially with our, uh, program or robot for every person. We are seeing huge interest and way bigger deals. We are able to lend upfront work to upscale our existing customers. You know, in a way I don't believe that in five years from now on, we will ever have people just to mindlessly move data from one screen to the other. I think this is a thing of the past, as much as plowing the fields is a thing of the past. >>So I wonder if he could talk a little bit about the, where you've come from as a company. So, I mean, you started in 2005. So, I mean, I think of you as a startup, but you've been around for a long time. Uh, and, and my sense is you started as a product company, but, you know, recently you guys announced this end to end platform for what you call or maybe Gardner calls. I don't know their term of hyper automation, but, but you've gone from a product company to a platform company. I wonder if you could talk about how you think about that transition and, and, and the platform generally >>To become a platform requires of certain level. And it's in a way, a harder business to promote to one enterprise customer. They, uh, they are very likely to test water with the product, but when, uh, you know, bad thing, everything, automation, why don't a platform, it's a different game. So this is why we, uh, we had to go from the steps of products, you know, product then like a couple of products, and then putting everything together into a platform. The power of the platform in, uh, in this particular instance comes from, uh, the integration of all pieces in a platform and an automation, white platform will have a different sets of products that play from the discovery of the processes that you automated, the implementation and maintenance of the process into the analytics that helps you track your progress. And also you have technologies that addresses two different persona in an enterprise from, you know, software engineers, RPA developers into the citizen developers. >>So it's a, it's a, it's a huge offering. And, um, the, what is really important for us is that we give full fledged platform. So an enterprise customer knows we will be able to build everything on the top of this platform, and they will offer best in class where it matters. And we believe that best-in-class matters in few important areas like RPA, like process mining, like analytics, while they will offer good enough where they will offer integration with best-in-class products where, uh, it's, uh, it's not so important in the, in the grand scheme of deploying automation, but the integration is tremendously important piece, put yourself in the shoes of a big enterprise instead of buying 20 different products, different, a licensing agreement, different maintainers stuff, different teams to support them. You just have one and they, and you have the guarantee. They work very well together. It's a very big proposition. I did requires maturity of the platform when they are making, you know, big strides into having the credibility that you know is required to have such a big investment. >>Well, I have to bring you bring that up. I have to ask you, so you guys are obviously a RPA and automation specialist building out a platform, very focused on that. And we always talk about this best of breed versus, uh, versus integrated suites. And you're sort of talking about integration. Of course, we saw Microsoft come out and as, as well as others, IBM, I think SAP have announced sort of what I would consider one dot products, you know, not nearly as robust as you and some of your, your leading competition, but how do you think about that in terms of staying ahead of that? I mean, you know, we all know Microsoft, you used to work there, they come out with a one Datto and, you know, then the two dot O and it's just still, and then eventually they get it right? So you have to move fast. >>Yes, absolutely. And we, we proved that we can move fast. We've built this company from zero five years ago to, you know, we are almost half a billion dollar in era today. So wait, we are fast. This is one of the four tenants of our culture be fast. But speaking about what the strategy in, uh, I believe that the space of low code, no code business application development, and the hyper automation space will, uh, converge into one single space, a company like Microsoft started with, uh, a simple product like, uh, if TTT and, uh, that was dedicated only to citizen developer to build very, you know, small and quick integrations. Like if you look at, uh, if you look at the power automate use cases, you'll see one of the most common use cases to set on a lot for myself. Well, I understand the value of such use case, but it's a far cry from setting an alarm and to automating, you know, end to end, procure to pay or order to cash for a big enterprise or COVID testing. >>And basically where we are coming from two different angles. We are coming from the RPA angle that is putting computer vision at the center of the technology. And they are coming from weak API integration. And we are making, we are making progress, you know, towards each other. My belief, I believe that, um, we have an advantage here in a sense that, uh, RPA is a technology that can produce immediate returns, but the labs K Y LA while the anther type of technologies, first of all, traditional automation, and then all this new type of API economy, API integrations kind of largely failed to show scalability within big enterprises. They are nice to have, but they are not essential when you are choosing a platform. My, uh, take is that you are choosing a platform based on what you need the most. This is where you choose the best in class. And you need the certainty that you partner with a vendor that invest the most. Well, this is our bread and butter. This is where we start. And of course we are offering every piece that the other are doing while they are also getting into, into our world. But our advantage being cloud agnostic, being ERP, agnostic, being CRM agnostic, and having started from the most sensitive technology that offer you, you know, the most, uh, the most savings center, best productivity increases. It's a tremendous advantage. >>And of course, you know, I'm excited about this opportunity and I've talked to a number of your customers. And so, you know, to me, that's the proof in the pudding, but you mentioned your annual recurring revenue, you know, approaching half a billion. So I got add, and, you know, as well that in my breaking analysis, we took a look at the total available market for RPA. And then I think, well, we've extended that I think we kinda missed the broader automation agenda in the platform thinking, and we've, we've updated those figures. I mean, it's, uh, it's hundreds of billions of dollars of an opportunity at least. And so the reason I bring this up is of course, last week we saw the hottest software IPO in history, and snowflake is a company with $400 million ARR growing at 120%. The company went from, you know, early this year, $15 billion valuation went up to 20, went up to 30. >>They, they launched a 33 billion within five minutes. It was worth 80 billion. You know, of course it's settling down now in the 60 billion, but unbelievable. And I would argue that your total available market is perhaps even even larger. I would say it is larger because it has a deeper business impact, uh, than, than say a snowflake. And of course, people watching my programs know that I'm a very, very high on that company. So my question is, what do you think about that, that IPO? How are you thinking about your, your own IPO? It would seem that that UI path is in a great position to at some point become a public company. >>We, first of all, if you are speaking about the time way, nobody would argue that our team is not higher than a snowflake. Pam, I, we can argue that their market is maybe more consolidated. Everybody understands data market in a way, and our market might be way more scattered across different use cases, but in a way, it's the market of data versus the market of all data versus old processes in the world. It's way, way more people are tasked today with processes then to analyzing and working with data in the way we are going after a very large problem that we have to solve. And we have to empower people of doing what they are naturally built to do, like, you know, talking to other people, socially interact, being creative, making decision, instead of doing this numbing part of their daily jobs that aren't required by this state of the industry. >>So our time we talked with different bankers and I've seen various figures from like 200 BD, one, two way into like two, three years for something that it's happy with. So time is the problem. It's the way, the way we are. I think, uh, we, uh, what we want to build, it's a durable business and it's a, it's a durable growth. Why in the same time being a cashflow positive, and we are very close to achieve this goals. And that will look, I believe that will be a very compelling proposition for our own IPO. I don't know if we can get snowflake multiples or not, but this is the feeling not the more, the biggest thing when my agenda, my, my agenda is to build a longterm sustainable, durable business. I am looking to next five to 10 years of this business. And IPO is just the fundraising event in, in, you know, after all. >>Great. So yeah, that's good. I wanted to ask you kind of what the, what the parameters are and, you know, I think you answered it is you're not rushing to get in, to draft off of some event that you had no control over that that notion of cashflow positive is really interesting to me. I said about the snowflake. I feel they have plenty of Tam just like you guys. And I agreed somewhere between 200 billion and 3 trillion. That's about right. And so, and, but, but I think that the, what I said about Snowflake's IPO is that I'm not worried about their lack of profitability right now. At some point I'm really going to be focused on their operating cash flow. And if you can, if you can come out with the large Tam, your, your growth that you're at the large ARR and cashflow positive, I can't wait to see that IPO Daniel. That's going to be super exciting. So we'll, we'll, uh, we'll be patient, but Daniel Dienes thank you so much for coming back into QBR. I was a great guest. Really appreciate the update on your business. >>Thank you so much. I really appreciate the invitation. Thanks. You're welcome. And >>Keep it right there. Everybody we'll be back with our next guest. Run up to this short break. This is Dave Volante.

(upbeat music) >> Hey, welcome back everybody, Jeff Frick here with theCUBE. We are having a very special Cube conversation and kind of the the ongoing unveil, if you will, of the new VMware vSphere seven dot O. We're going to get a little bit more of a technical deep-dive here today and we're excited to have a longtime CUBE alumni. Kit Colbert here is the VP and CTO of Cloud platform at VMware. Kit, great to see you. >> Yeah, happy to be here. And new to theCUBE, Jared Rosoff. He's a Senior Director of Product Management of VMware and I'm guessing had a whole lot to do with this build. So Jared, first off, congratulations for birthing this new release and great to have you on board. >> Thanks, feels pretty great, great to be here. >> All right, so let's just jump into it. From kind of a technical aspect, what is so different about vSphere 7? >> Yeah, great. So vSphere 7 bakes Kubernetes right into the virtualization platform. And so this means that as a developer, I can now use Kubernetes to actually provision and control workloads inside of my vSphere environment. And it means as an IT admin, I'm actually able to deliver Kubernetes and containers to my developers really easily right on top of the platform I already run. >> So I think we had kind of a sneaking suspicion that that might be coming with the acquisition of the Heptio team. So really exciting news, and I think Kit, you teased it out quite a bit at VMware last year about really enabling customers to deploy workloads across environments, regardless of whether that's on-prem, public cloud, this public cloud, that public cloud, so this really is the realization of that vision. >> It is, yeah. So we talked at VMworld about Project Pacific, right, this technology preview. And as Jared mentioned of what that was, was how do we take Kubernetes and really build it into vSphere? As you know, we had a hybrid cloud vision for quite a while now. How do we proliferate vSphere to as many different locations as possible? Now part of the broader VMware cloud foundation portfolio. And you know, as we've gotten more and more of these instances in the cloud, on premises, at the edge, with service providers, there's a secondary question of how do we actually evolve that platform so it can support not just the existing workloads, but also modern workloads as well. >> Right. All right, so I think he brought some pictures for us, a little demo. So why don't we, >> Yeah. Why don't we jump over >> Yeah, let's dive into it. to there and let's see what it looks like? You guys can cue up the demo. >> Jared: Yeah, so we're going to start off looking at a developer actually working with the new VMware cloud foundation four and vSphere 7. So what you're seeing here is the developer's actually using Kubernetes to deploy Kubernetes. The self-eating watermelon, right? So the developer uses this Kubernetes declarative syntax where they can describe a whole Kubernetes cluster. And the whole developer experience now is driven by Kubernetes. They can use the coop control tool and all of the ecosystem of Kubernetes API's and tool chains to provision workloads right into vSphere. And so, that's not just provisioning workloads though, this is also key to the developer being able to explore the things they've already deployed. So go look at, hey, what's the IP address that got allocated to that? Or what's the CPU load on this workload I just deployed? On top of Kubernetes, we've integrated a Container Registry into vSphere. So here we see a developer pushing and pulling container images. And you know, one of the amazing things about this is from an infrastructure as code standpoint, now, the developer's infrastructure as well as their software is all unified in source control. I can check in not just my code, but also the description of the Kubernetes environment and storage and networking and all the things that are required to run that app. So now we're looking at a sort of a side-by-side view, where on the right hand side is the developer continuing to deploy some pieces of their application. And on the left hand side, we see vCenter. And what's key here is that as the developer deploys new things through Kubernetes, those are showing up right inside of the vCenter console. And so the developer and IT are seeing exactly the same things with the same names. And so this means when a developer calls, their IT department says, hey, I got a problem with my database. We don't spend the next hour trying to figure out which VM they're talking about. They got the same name, they see the same information. So what we're going to do is that, you know, we're going to push the the developer screen aside and start digging into the vSphere experience. And you know, what you'll see here is that vCenter is the vCenter you've already known and love, but what's different is that now it's much more application focused. So here we see a new screen inside of vCenter, vSphere namespaces. And so, these vSphere namespaces represent whole logical applications, like the whole distributed system now is a single object inside of vCenter. And when I click into one of these apps, this is a managed object inside of vSphere. I can click on permissions, and I can decide which developers have the permission to deploy or read the configuration of one of these namespaces. I can hook this into my Active Directory infrastructure. So I can use the same corporate credentials to access the system. I tap into all my existing storage. So this platform works with all of the existing vSphere storage providers. I can use storage policy based management to provide storage for Kubernetes. And it's hooked in with things like DRS, right? So I can define quotas and limits for CPU and memory, and all of that's going to be enforced by DRS inside the cluster. And again, as an admin, I'm just using vSphere. But to the developer, they're getting a whole Kubernetes experience out of this platform. Now, vSphere also now sucks in all this information from the Kubernetes environment. So besides seeing the VMs and things the developers have deployed, I can see all of the desired state specifications, all the different Kubernetes objects that the developers have created. The compute, network and storage objects, they're all integrated right inside the vCenter console. And so once again from a diagnostics and troubleshooting perspective, this data's invaluable. It often saves hours just in trying to figure out what we're even talking about when we're trying to resolve an issue. So as you can see, this is all baked right into vCenter. The vCenter experience isn't transformed a lot. We get a lot of VI admins who look at this and say, where's the Kubernetes? And they're surprised, they like, they've been managing Kubernetes all this time, it just looks like the vSphere experience they've already got. But all those Kubernetes objects, the pods and containers, Kubernetes clusters, load balancer, storage, they're all represented right there natively in the vCenter UI. And so we're able to take all of that and make it work for your existing VI admins. >> Well that's a, that's pretty wild, you know. It really builds off the vision that again, I think you kind of outlined, Kit, teased out it at VMworld which was the IT still sees vSphere, which is what they want to see, what they're used to seeing, but devs see Kubernetes. And really bringing those together in a unified environment so that, depending on what your job is, and what you're working on, that's what you're going to see and that's kind of unified environment. >> Yep. Yeah, as the demo showed, it is still vSphere at the center, but now there's two different experiences that you can have interacting with vSphere. The Kubernetes based one, which is of course great for developers and DevOps type folks, as well as a traditional vSphere interface, APIs, which is great for VI admins and IT operations. >> Right. And then, and really, it was interesting too. You teased out a lot. That was a good little preview if people knew what they were watching, but you talked about really cloud journey, and kind of this bifurcation of kind of classical school apps that are running in their classic VMs and then kind of the modern, you know, cloud native applications built on Kubernetes. And you outlined a really interesting thing that people often talk about the two ends of the spectrum and getting from one to the other but not really about kind of the messy middle, if you will. And this is really enabling people to pick where along that spectrum they can move their workloads or move their apps. >> Yeah, no. I think we think a lot about it like that. That we look at, we talk to customers and all of them have very clear visions on where they want to go. Their future state architecture. And that involves embracing cloud, it involves modernizing applications. And you know, as you mentioned, it's challenging for them because I think what a lot of customers see is this kind of, these two extremes. Either you're here where you are, with kind of the old current world, and you got the bright nirvana future on the far end there. And they believe that the only way to get there is to kind of make a leap from one side to the other. That you have to kind of change everything out from underneath you. And that's obviously very expensive, very time consuming and very error-prone as well. There's a lot of things that can go wrong there. And so I think what we're doing differently at VMware is really, to your point, is you call it the messy middle, I would say it's more like how do we offer stepping stones along that journey? Rather than making this one giant leap, we had to invest all this time and resources. How can we enable people to make smaller incremental steps each of which have a lot of business value but don't have a huge amount of cost? >> Right. And it's really enabling kind of this next gen application where there's a lot of things that are different about it but one of the fundamental things is where now the application defines the resources that it needs to operate versus the resources defining kind of the capabilities of what the application can do and that's where everybody is moving as quickly as makes sense, as you said, not all applications need to make that move but most of them should and most of them are and most of them are at least making that journey. So you see that? >> Yeah, definitely. I mean, I think that certainly this is one of the big evolutions we're making in vSphere from looking historically at how we managed infrastructure, one of the things we enable in vSphere 7 is how we manage applications, right? So a lot of the things you would do in infrastructure management of setting up security rules or encryption settings or you know, your resource allocation, you would do this in terms of your physical and virtual infrastructure. You talk about it in terms of this VM is going to be encrypted or this VM is going to have this Firewall rule. And what we do in vSphere 7 is elevate all of that to application centric management. So you actually look at an application and say I want this application to be constrained to this much CPU. Or I want this application to have these security rules on it. And so that shifts the focus of management really up to the application level. >> Jeff: Right. >> Yeah, and like, I would kind of even zoom back a little bit there and say, you know, if you look back, one thing we did with something like VSAN, before that, people had to put policies on a LUN, you know, an actual storage LUN and a storage array. And then by virtue of a workload being placed on that array, it inherited certain policies, right? And so VSAN really turned that around and allows you to put the policy on the VM. But what Jared's talking about now is that for a modern workload, a modern workload's not a single VM, it's a collection of different things. We got some containers in there, some VMs, probably distributed, maybe even some on-prem, some in the cloud, and so how do you start managing that more holistically? And this notion of really having an application as a first-class entity that you can now manage inside of vSphere, it's a really powerful and very simplifying one. >> Right. And why this is important is because it's this application centric point of view which enables the digital transformation that people are talking about all the time. That's a nice big word, but the rubber hits the road is how do you execute and deliver applications, and more importantly, how do you continue to evolve them and change them based on either customer demands or competitive demands or just changes in the marketplace? >> Yeah, well you look at something like a modern app that maybe has a hundred VMs that are part of it and you take something like compliance, right? So today, if I want to check if this app is compliant, I got to go look at every individual VM and make sure it's locked down, and hardened, and secured the right way. But now instead, what I can do is I can just look at that one application object inside of vCenter, set the right security settings on that, and I can be assured that all the different objects inside of it are going to inherit that stuff. So it really simplifies that. It also makes it so that that admin can handle much larger applications. You know, if you think about vCenter today you might log in and see a thousand VMs in your inventory. When you log in with vSphere 7, what you see is a few dozen applications. So a single admin can manage a much larger pool of infrastructure, many more applications than they could before because we automate so much of that operation. >> And it's not just the scale part, which is obviously really important, but it's also the rate of change. And this notion of how do we enable developers to get what they want to get done, done, i.e., building applications, while at the same time enabling the IT operations teams to put the right sort of guardrails in place around compliance and security, performance concerns, these sorts of elements. And so by being able to have the IT operations team really manage that logical application at that more abstract level and then have the developer be able to push in new containers or new VMs or whatever they need inside of that abstraction, it actually allows those two teams to work actually together and work together better. They're not stepping over each other but in fact now, they can both get what they need to get done, done, and do so as quickly as possible but while also being safe and in compliance and so forth. >> Right. So there's a lot more to this. This is a very significant release, right? Again, lot of foreshadowing if you go out and read the tea leaves, it's a pretty significant, you know, kind of re-architecture of many parts of vSphere. So beyond the Kubernetes, you know, kind of what are some of the other things that are coming out in this very significant release? >> Yeah, that's a great question because we tend to talk a lot about Kubernetes, what was Project Pacific but is now just part of vSphere, and certainly that is a very large aspect of it but to your point, vSphere 7 is a massive release with all sorts of other features. And so instead of a demo here, let's pull up some slides and we'll take a look at what's there. So outside of Kubernetes, there's kind of three main categories that we think about when we look at vSphere 7. So the first one is simplified lifecycle management. And then really focus on security is the second one, and then applications as well, but both including the cloud native apps that couldn't fit in the Kubernetes bucket as well as others. And so we go on the first one, the first column there, there's a ton of stuff that we're doing around simplifying lifecycle. So let's go to the next slide here where we can dive in a little bit more to the specifics. So we have this new technology, vSphere life cycle management, vLCM, and the idea here is how do we dramatically simplify upgrades, life cycle management of the ESX clusters and ESX hosts? How do we make them more declarative with a single image that you can now specify for an entire cluster. We find that a lot of our vSphere admins, especially at larger scales, have a really tough time doing this. There's a lot of in and outs today, it's somewhat tricky to do. And so we want to make it really really simple and really easy to automate as well. >> Right. So if you're doing Kubernetes on Kubernetes, I suppose you're going to have automation on automation, right? Because upgrading to the seven is probably not an inconsequential task. >> And yeah, and going forward and allowing, you know, as we start moving to deliver a lot of this great vSphere functionality at a more rapid clip, how do we enable our customers to take advantage of all those great things we're putting out there as well? >> Right. Next big thing you talk about is security. >> Yep. >> And we just got back from RSA, thank goodness we got that show in before all the madness started. >> Yep. >> But everyone always talked about security's got to be baked in from the bottom to the top. So talk about kind of the changes in the security. >> So, done a lot of things around security. Things around identity federation, things around simplifying certificate management, you know, dramatic simplifications there across the board. One I want to focus on here on the next slide is actually what we call vSphere trust authority. And so with that one what we're looking at here is how do we reduce the potential attack surfaces and really ensure there's a trusted computing base? When we talk to customers, what we find is that they're nervous about a lot of different threats including even internal ones, right? How do they know all the folks that work for them can be fully trusted? And obviously if you're hiring someone, you somewhat trust them but you know, how do you implement the concept of lease privilege? Right? >> Right. >> Jeff: Or zero trust, right, is a very hot topic >> Yeah, exactly. in security. >> So the idea with trust authority is that we can specify a small number of physical ESX hosts that you can really lock down and ensure are fully secure. Those can be managed by a special vCenter server which is in turn very locked down, only a few people have access to it. And then those hosts and that vCenter can then manage other hosts that are untrusted and can use attestation to actually prove that okay, this untrusted host haven't been modified, we know they're okay so they're okay to actually run workloads on they're okay to put data on and that sort of thing. So it's this kind of like building block approach to ensure that businesses can have a very small trust base off of which they can build to include their entire vSphere environment. >> Right. And then the third kind of leg of the stool is, you know, just better leveraging, you know, kind of a more complex asset ecosystem, if you will, with things like FPGAs and GPUs and you know, >> Yeah. kind of all of the various components that power these different applications which now the application can draw the appropriate resources as needed, so you've done a lot of work there as well. >> Yeah, there's a ton of innovation happening in the hardware space. As you mentioned, all sorts of accelerateds coming out. We all know about GPUs, and obviously what they can do for machine learning and AI type use cases, not to mention 3-D rendering. But you know, FPGAs and all sorts of other things coming down the pike as well there. And so what we found is that as customers try to roll these out, they have a lot of the same problems that we saw on the very early days of virtualization. I.e., silos of specialized hardware that different teams were using. And you know, what you find is all things we found before. You find very low utilization rates, inability to automate that, inability to manage that well, put in security and compliance and so forth. And so this is really the reality that we see at most customers. And it's funny because, and so much you think, well wow, shouldn't we be past this? As an industry, shouldn't we have solved this already? You know, we did this with virtualization. But as it turns out, the virtualization we did was for compute, and then storage and network, but now we really need to virtualize all these accelerators. And so that's where this Bitfusion technology that we're including now with vSphere really comes to the forefront. So if you see in the current slide we're showing here, the challenges that just these separate pools of infrastructure, how do you manage all that? And so if you go to the, if we go to the next slide what we see is that with Bitfusion, you can do the same thing that we saw with compute virtualization. You can now pool all these different silos infrastructure together so they become one big pool of GPUs of infrastructure that anyone in an organization can use. We can, you know, have multiple people sharing a GPU. We can do it very dynamically. And the great part of it is is that it's really easy for these folks to use. They don't even need to think about it. In fact, integrates seamlessly with their existing workflows. >> So it's pretty interesting 'cause of the classifications of the assets now are much larger, much varied, and much more workload specific, right? That's really the opportunity slash challenge that you guys are addressing. >> They are. >> A lot more diverse, yep. And so like, you know, a couple other things just, now, I don't have a slide on it, but just things we're doing to our base capabilities. Things around DRS and VMotion. Really massive evolutions there as well to support a lot of these bigger workloads, right? So you look at some of the massive SAP HANA, or Oracle Databases. And how do we ensure that VMotion can scale to handle those without impacting their performance or anything else there. Making DRS smarter about how it does load balancing and so forth. >> Jeff: Right. >> So a lot of the stuff is not just kind of brand new, cool new accelerator stuff, but it's also how do we ensure the core apps people have already been running for many years, we continue to keep up with the innovation and scale there as well. >> Right. All right, so Jared, I give you the last word. You've been working on this for a while, there's a whole bunch of admins that have to sit and punch keys. What do you tell them, what should they be excited about, what are you excited for them in this new release? >> I think what I'm excited about is how, you know, IT can really be an enabler of the transformation of modern apps, right? I think today you look at a lot of these organizations and what ends up happening is the app team ends up sort of building their own infrastructure on top of IT's infrastructure, right? And so now I think we can shift that story around. I think that there's, you know, there's an interesting conversation that a lot of IT departments and app dev teams are going to be having over the next couple years about how do we really offload some of these infrastructure tasks from the dev team, make you more productive, give you better performance, availability, disaster recovery, and these kinds of capabilities. >> Awesome. Well, Jared, congratulation, again both of you, for you getting the release out. I'm sure it was a heavy lift and it's always good to get it out in the world and let people play with it and thanks for sharing a little bit more of a technical deep-dive. I'm sure there's a ton more resources for people that even want to go down into the weeds. So thanks for stopping by. >> Thank you. >> Thank you. >> All right, he's Jared, he's Kit, I'm Jeff. You're watching theCUBE. We're in the Palo Alto studios. Thanks for watching and we'll see you next time. (upbeat music)