>> Announcer: Live from Las Vegas, it's theCUBE! Covering Splunk .conf19. Brought to you by Splunk. Okay, welcome back, everyone. This is day three live CUBE coverage here in Las Vegas for Splunk's .conf. Its 10 years anniversary of their big customer event. I'm John Furrier, theCUBE. This is our seventh year covering, riding the wave with Splunk. From scrappy startup, to going public company, massive growth, now a market leader continuing to innovate. We're here with the CEO, Doug Merritt of Splunk. Thanks for joining me, good to see you. >> Thank you for being here, thanks for having me. >> John: How ya feelin'? (laughs) >> Exhausted and energized simultaneously. (laughs) it was a fun week. >> You know, every year when we have the event we discuss Splunk's success and the loyalty of the customer base, the innovation, you guys are providing the value, you got a lot of happy customers, and you got a great ecosystem and partner network growing. You're now growing even further, every year it just gets better. This year has been a lot of big highlights, new branding, so you got that next level thing goin' on, new platform, tweaks, bringing this cohesive thing. What's your highlights this year? I mean, what's the big, there's so much goin' on, what's your highlights? >> So where you started is always my highlight of the show, is being able to spend time with customers. I have never been at a company where I feel so fortunate to have the passion and the dedication and the enthusiasm and the gratitude of customers as we have here. And so that, I tell everyone at Splunk this is similar to a holiday function for a kid for me where the energy keeps me going all year long, so that always is number one, and then around the customers, what we've been doing with the technology architecture, the platform, and the depth and breadth of what we've been working on honestly for four plus years. It really, I think, has come together in a unique way at this show. >> Last year you had a lot of announcements that were intentional announcements, it's coming. They're coming now, they're here, they're shipping. >> They're here, they're here. >> What is some of the feedback you're hearing because a lot of it has a theme where, you know, we kind of pointed this out a couple of years ago, it's like a security show now, but it's not a security show, but there's a lot of security in there. What are some of the key things that have come out of the oven that people should know about that are being delivered here? >> So the core of what we're trying to communicate with Data-to-Everything is that you need a very multifaceted data platform to be able to handle the huge variety of data that we're all dealing with, and Splunk has been known and been very successful at being able to index data, messy, non-structured data, and make sense of it even though it's not structured in the index, and that's been, still is incredibly valuable. But we started almost four years ago on a journey of adding in stream processing before the data gets anywhere, to our index or anywhere else, it's moving all around the world, how do you actually find that data and then begin to take advantage of it in-flight? And we announced that the beta of Data Stream Processor last year, but it went production this year, four years of development, a ton of patents, a 40 plus person, 50 plus person, development team behind that, a lot of hard engineering, and really elegant interface to get that there. And then on the other end, to complement the index, data is landing all over the place, not just in our index, and we're very aware that different structures exist for different needs. A data warehouse has different properties than a relational database which has different properties than a NoSQL column store in-memory database, and data is going to only continue to be more dispersed. So again, four plus years ago we started on what now is Data Fabric Search which we pre-announced in beta format last year. That went production at this show, but the ability to address a distributed Splunk landscape, but more importantly we demoed the integration with HTFS and S3 landscapes as the proof point of we've built a connector framework, so that this really cannot just be a incredibly high-speed, high-cardinality search processing engine, but it really is a federated search engine as well. So now we can operate on data in the stream when it's in motion. We obviously still have all the great properties of the Splunk index, and I was really excited about Splunk 8.0 and all the features in that, and we can go get data wherever it lives across a distributed Splunk environment, but increasingly across the more and more distributed data environment. >> So this is a data platform. This is absolutely a data platform, so that's very clear. So the success of platforms, in the enterprise at least, not just small and medium-sized businesses, you can have a tool and kind of look like a platform, there's some apps out there that I would point to and say, "Hey, that looks like a tool, it's really not a platform." You guys are a platform. But the success of a platform are two things, ecosystem and apps, because if you're in a platform that's enabling value, you got to have those. Talk about how you see the ecosystem success and the app success. Is that happening in your view? >> It is happening. We have over 2,000 apps on our Splunkbase framework which is where any of our customers can go and download the application to help draw value of a Palo Alto firewall, or ensure integration with a ServiceNow trouble ticketing system, and thousands of other examples that exist. And that has grown from less than 300 apps, when I first got here six years ago, to over 2,000 today. But that is still the earliest inning, for earliest pitch and your earliest inning journey. Why are there 20,000, 200,000, two million apps out there? A piece of it is we have had to up the game on how you interface with the platform, and for us that means through a stable set of services, well-mannered, well-articulated, consistently maintained services, and that's been a huge push with the core Splunk index, but it's also a big amount of work that we've been doing on everything from the separation between Phantom runbooks and playbooks with the underlying orchestration automation, it's a key component of our Stream Processor, you know, what transformations are you doing, what enrichments are you doing? That has to live separate than the underlying technology, the Kafka transport mechanism, or Kinesis, or whatever happens in the future. So that investment to make sure we got a effective and stable set of services has been key, but then you complement that with the amazing set of partners that are out here, and making sure they're educated and enabled on how to take advantage of the platform, and then feather in things like the Splunk Ventures announcement, the Innovation Fund and Social Impact Fund, to further double down on, hey, we are here to help in every way. We're going to help with enablement, we're going to help with sell-through and marketing, and we'll help with investment. >> Yeah, I think this is smart, and I think one of the things I'll point out is that feedback we heard from customers in conversations we had here on theCUBE and the hallway is, there's a lot of great feedback on the automation, the machine learning toolkit, which is a good tell sign of the engagement level of how they're dealing with data, and this kind of speaks to data as a value... The value creation from data seems to be the theme. It's not just data for data's sake, I mean, managing data is all hard stuff, but value from the data. You mentioned the Ventures, you got a lot of tech for good stuff goin' on. You're investing in companies where they're standing up data-driven companies to solve world problems, you got other things, so you guys are adjusting. In the middle innings of the data game, platform update, business model changes. Talk about some of the consumption changes, now you got Splunk Cloud, what's goin' on on (laughs) how you charge, how are customers consuming, what moves did you guys make there and what's the result? >> Yeah, it's a great intro on data is awesome, but we all have data to get to decisions first and actions second. Without an action there is no point in gathering data, and so many companies have been working their tails off to digitize their landscapes. Why, well you want a more flexible landscape, but why the flexibility? Because there's so much data being generated that if you can get effective decisions and then actions, that landscape can adapt very, very rapidly, which goes back to machine learning and eventual AI-type opportunities. So that is absolutely, squarely where we've been focused, is translating that data into value and into actual outcomes, which is why our orchestration automation piece was so important. One of the gating factors that we felt has existed is for the Splunk index, and it's only for the Splunk index, the pricing mechanism has been data volume, and that's a little bit contrary to the promise, which is you don't know where the value is going to be within data, and whether it's a gigabyte or whether it's a petabyte, why shouldn't you be able to put whatever data you want in to experiment? And so we came out with some updates in pricing a month and change ago that we were reiterating at the show and will continue to drive on a, hopefully, very aggressive and clear marketing and communications framework, that for people that have adjusted to the data volume metric, we're trying to make that much simpler. There's now a limited set of bands, or tiers, from 100 gigs to unlimited, so that you really get visibility on, all right, I think that I want to play with five terabytes, I know what that band looks like and it's very liberal. So that if you wind up with six and a half terabytes you won't be penalized, and then there's a complimentary metric which I think is ultimately going to be the more long-lived metric for our infrastructurally-bound products, which is virtual CPU or virtual core. And when I think about our index, stream processing, federated search, the execution of automation, all those are basically a factor of how much infrastructure you're going to throw at the problem, whether it's CPU or whether it's storage or network. So I can see a day when Splunk Enterprise and the index, and everything else at that lower level, or at that infrastructure layer, are all just a series of virtual CPUs or virtual cores. But I think both, we're offering choice, we really are customer-centric, and whether you want a more liberal data volume or whether you want to switch to an infrastructure, we're there and our job is to help you understand the value translation on both of those because all that matters is turning it into action and into doing. >> It's interesting, in the news yesterday quantum supremacy was announced. Google claims it, IBM's debating it, but quantum computing just points to the trend that more compute's coming. So this is going to be a good thing for data. You mentioned the pricing thing, this brings up a topic we've been hearing all week on theCUBE is, diverse data's actually great for machine learning, great for AI. So bringing in diverse data gives you more aperture into data, and that actually helps. With the diversity comes confusion and this is where the pricing seems to hit. You're trying to create, if I get this right, pricing that matches the needs of the diverse use of data. Is that kind of how you guys are thinkin' about it? >> Meets the needs of diverse data, and also provides a lot of clarity for people on when you get to a certain threshold that we stop charging you altogether, right? Once you get above 10s of terabytes to 100 terabytes, just put as much data in as you want. The foundation of Splunk, going back to the first data, is we're the only technology that still exists on the index side that takes raw, non-formatted data, doesn't force you to cleanse or scrub it in any way, and then takes all that raw data and actually provides value through the way that we interact with the data with our query language. And that design architecture, I've said it for five, six years now, is completely unique in the industry. Everybody else thinks that you've got to get to the data you want to operate on, and then put it somewhere, and the way that life works is much more organic and emergent. You've got chaos happening, and then how do you find patterns and value out of that chaos? Well, that chaos winds up being pretty voluminous. So how do we help more organizations? Some of the leading organizations are at five to 10 petabytes of data per day going through the index. How do we help everybody get there? 'Cause you don't know the nugget across that petabyte or 10 petabyte set is going to be the key to solving a critical issue, so let's make it easy for you to put that data in to find those nuggets, but then once you know what the pattern is, now you're in a different world, now you're in the structured data world of metrics, or KPIs, or events, or multidimensional data that is much more curated, and by nature that's going to be more fine-grained. There's not as much volume there as there is in the raw data. >> Doug, I notice also at the event here there's a focus on verticals. Can you comment on the strategy there, is that by design? Is there a vertical focus? >> It's definitely by design. >> Share some insight into that. >> So we launched with an IT operations focus, we wound up progressing over the years to a security operations focus, and then our doubling down with Omnition, SignalFx, VictorOps, and now Streamlio is a new acquisition on the DevOps and next gen app dev buying centers. As a company and how we go to market and what we are doing with our own solutions, we stay incredibly focused on those three very technical buying centers, but we've also seen that data is data. So the data you're bringing in to solve a security problem can be used to solve a manufacturing problem, or a logistics and supply chain problem, or a customer sentiment analysis problem, and so how do you make use of that data across those different buying centers? We've set up a verticals group to seed, continue to seed, the opportunity within those different verticals. >> And that's compatible with the horizontally scalable Splunk platform. That's kind of why that exists, right? >> That the overall platform that was in every keynote, starting with mine, is completely agnostic and horizontal. The solutions on top, the security operations, ITOps, and DevOps, are very specific to those users but they're using the horizontal platform, and then you wind up walking into the Accenture booth and seeing how they've taken similar data that the SecOps teams gathered to actually provide insight on effective rail transport for DB cargo, or effective cell tower triangulation and capacity for a major Australian cell company, or effective manufacturing and logistics supply chain optimization for a manufacturer and all their different retail distribution centers. >> Awesome, you know, I know you've talked with Jeff Frick in the past, and Stu Miniman and Dave Vellante about user experience, I know that's something that's near and dear to your heart. You guys, it has been rumored, there's going to be some user experience work done on the onboarding for your Splunk Cloud and making it easier to get in to this new Splunk platform. What can we expect on the user experience side? (laughs) >> So, for any of you out there that want to try, we've got Splunk Investigate, that's one of the first applications on top of the fully decomposed, services layered, stateless Splunk Cloud. Mission Control actually is a complementary other, those are the first two apps on top of that new framework. And the UI and experience that is in Splunk Investigate I think is a good example of both the ease of coming to and using the product. There's a very liberal amount of data you get for free just to experiment with Splunk Investigate, but then the onboarding experience of data is I think very elegant. The UI is, I love the UI, it's a Jupyter-style workbook-type interface, but if you think about what do investigators need, investigators need both some bread crumbs on where to start and how to end, but then they also need the ability to bring in anybody that's necessary so that you can actually swarm and attack a problem very efficiently. And so when you go back and look at, why did we buy VictorOps? Well, it wasn't because we think that the IT alerting space is a massive space we're going to own, it's because collaboration is incredibly important to swarm incidents of any type, whether they're security incidents or manufacturing incidents. So the facilities at VictorOps gave, on allowing distributed teams and virtual teams to very quickly get to resolution. You're going to find those baked into all products like Mission Control 'cause it's one of the key facilities of, that Tim talked about in his keynote, of indulgent design, mobility, high collaboration, 'cause luckily people still matter, and while ML is helping all of us be more productive it isn't taking away the need for us, but how do you get us to cooperate effectively? And so our cloud-based apps, I encourage any of you out there, go try Splunk Investigate, it's a beautiful product and I think you'll be blown away by it. >> Great success on the product side, and then great success on the customer side, you got great, loyal customers. But I got to ask you about the next level Splunk. As you look at this event, what jumps out at me is the cohesiveness of the story around the platform and the apps, ecosystem's great, but the new branding, Data-to-Everything. It's not product-specific 'cause you have product leadership. This is a whole next level Splunk. What is the next level Splunk vision? >> And I love the pink and orange, in bold colors. So when I've thought about what are the issues that are some of the blockers to Splunk eventually fulfilling the destiny that we could have, the number one is awareness. Who the heck is Splunk? People have very high variance of their understanding of Splunk. Log aggregation, security tool, IT tool, and what we've seen over and over is it is much more this data platform, and certainly with the announcements, it's becoming more of this data fabric or platform that can be used for anything. So how do we bring awareness to Splunk? Well, let's help create a category, and it's not up to us to create the category, it's up to all of you to create the category, but Data-to-Everything in our minds represents the power of data, and while we will continue internally to focus on those technical buying centers, everything is solvable with data. So we're trying to really reinforce the importance of data and the capabilities that something like Splunk brings. Cloud becomes a really important message to that because that makes it, execution to that, 'cause it makes it so much easier for people to immediately try something and get value, but on-prem will always be important as well 'cause data has gravity, data has risk, data has cost to move. And there are so many use cases where you would just never push data to the cloud, and it's not because we don't love cloud. If you have a factory that's producing 100 terabytes an hour in a area where you've got poor bandwidth, there's no option for a cloud connect there of high scale, so you better be able to process, make sense of, and act on that data locally. >> And you guys are great in the cloud too, on-premise, but final word, I want to get your thoughts to end this segment, I know you got to run, thanks for your time, and congratulations on all your success. Data for good. There's a lot of tech for bad kind of narratives goin' on, but there's a real resurgence of tech for good. A lot of people, entrepreneurs, for-profit, for-nonprofit, are doing ventures for good. Data is a real theme. Data for good is something that you have, that's part of the Data-to-Everything. Talk about the data for good real quick. >> Yeah, we were really excited about what we've done with Splunk4Good as our nonprofit focused entity. The Splunk Pledge which is a classic 1-1-1 approach to make sure that we're able to help organizations that need the help do something meaningful within their world, and then the Splunk Social Impact Fund which is trying to put our money where our mouth is to ensure that if funding and scarcity of funds is an issue of getting to effective outcomes, that we can be there to support. At this show we've featured three awesome charities, Conservation International, NetHope, and the Global Emancipation Network, that are all trying to tackle really thorny problems with different, in different ways, different problems in different ways, but data winds up being at the heart of one of the ways to unlock what they're trying to get done. We're really excited and proud that we're able to actually make meaningful donations to all three of those, but it is a constant theme within Splunk, and I think something that all of us, from the tech community and non-tech community are going to have to help evangelize, is with every invention and with every thing that occurs in the world there is the power to take it and make a less noble execution of it, you know, there's always potential harmful activities, and then there's the power to actually drive good, and data is one of those. >> Awesome. >> Data can be used as a weapon, it can be used negatively, but it also needs to be liberated so that it can be used positively. While we're all kind of concerned about our own privacy and really, really personal data, we're not going to get to the type of healthcare and genetic, massive shifts in changes and benefits without having a way to begin to share some of this data. So putting controls around data is going to be important, putting people in the middle of the process to decide what happens to their data, and some consequences around misuse of data is going to be important. But continuing to keep a mindset of all good happens as we become more liberal, globalization is good, free flow of good-- >> The value is in the data. >> Free flow of people, free flow of data ultimately is very good. >> Doug, thank you so much for spending the time to come on theCUBE, and again congratulations on great culture. Also is worth noting, just to give you a plug here, because it's, I think, very valuable, one of the best places to work for women in tech. You guys recently got some recognition on that. That is a huge accomplishment, congratulations. >> Thank you, thank you, we had a great diversity track here which is really important as well. But we love partnering with you guys, thank you for spending an entire week with us and for helping to continue to evangelize and help people understand what the power of technology and data can do for them. >> Hey, video is data, and we're bringin' that data to you here on theCUBE, and of course, CUBE cloud coming soon. I'm John Furrier here live at Splunk .conf with Doug Merritt the CEO. We'll be back with more coverage after this short break. (futuristic music)

>>live from Las Vegas. It's the Cube covering Splunk dot com. 19. Brought to You by spunk. >>Hey, welcome back. Everyone's live Cube coverage in Las Vegas. That's plunks dot com. 2019 thistles their annual customer conference, where they unleash all the new technologies, announce all the new things. Everyone's here. It's the 10th anniversary of Splunk dot com cubes. Seventh year we've been covering slung been quite the journey from scrappy, startup going public growth phase. Now market leader on Outside has to come to success from the products and the engineering. And, of course, the people in the field that that served customers. And we're here with Susan St Leger, who's the president of worldwide field operations. Thanks for coming back to see you. >>Thank you, John. It's exciting to be here. >>So in the keynote, bringing data to every outcome is really the theme. Um, you seem to got a spring to your step here. You excited this year? What an amazing successful show because you got a platform. But the proof is out there. You got that ecosystem. You got people building APS on top of it. It's kind of all coming together this year, >>It sure is experience. It's it's it's just it's a huge leap forward, and I think so. Much of it is a vision of data to everything. And if you think about it, we talk about. We want to bring data to every question, every problem in every action. And the biggest thing you're going to see that you did see in the show is it's no longer just about the Splunk index. We're going to help you get you get value out of data wherever it lives. >>You had some big news on acquisition front Signal FX. Big chunk of change for that company. Private hot category. Observe ability, which really taste is out. That next 20 mile stare in the marketplace, which is cloud native. >>That's a >>cloud Service is, which comes together in the platform with logging coming together. >>Yeah, so exciting Way looked hard at that entire market, and signal FX was definitely the right answer. They operated a scale similar to us. They know how to how to operate it that scale, and so they're gonna be able to serve our customers well. And our view of the world is it's going to be hybrid for a very long time. But they serve that new cloud native world better than anybody else. It's It's when you do monitoring the cloud native world. It's really interesting to think about it. It's all made up of Micro service is right. So thousands of Micro Service's hundreds, thousands of Micro Service's and so in traditional monitoring, it's always you're tryingto monitor things you know could go wrong. In a microt service landscape, you don't know everything that could possibly go wrong. And so it's a level of complexity that's just very different. And so it's all about instrument ing, so that when something does go wrong, you can solve it. >>You guys have a very loyal based customer base, and that's again testament success. But the product has changed, and the value problems is emerging even further with data. That's a big theme. Data to everywhere, everything and security has come up on the radar a few years ago, here, the show. But this almost is a full blown security show at this point, because security center of everything you can't ignore it's become a centerpiece of everything data, the access to the diversity, How is that impacting the field because you're not. I mean, I guess you're a security company enabler and solve security problems. Date is a big part of it. Sure, I was at shaping your operations, >>So I think the thing to understand is correct. We're not just a security company, but we are number one in the security Magic quadrant. We're number one in both I. D. C and Gardner, and so that's important. But what happens is all the data the equal act for security can also be used for all these other use cases. So, generally speaking, whatever you're collecting for security is also valuable for I t operations, and it's also valuable for many other use cases. So I'll give you an example. Dominoes, which is a great customer of ours. They're gone 65% of their orders now come in digitally, okay? And so they monitor the entire intend customer experience. But they monitor it not only from a nightie operations perspective. That same data that they used righty operations also tells them you know what's being ordered, what special orders are being made and they use that data for promotions based upon volume and traffic and timing. they actually create promotion. So now you're talking about the same data that he collected for security night operations you can actually use for promotions, which is marketing is >>not a lot of operating leverage in data. You're getting out this. The old model was is a database. Make a queer. You get a report. Little time problem there. But now you have. Well, that other date is over there in another database. Who runs that data? So the world has certainly changes now, data needs to be addressable. This seems to be a big theme here on undercurrent. I know data to everywhere is kind of global theme, but don't diverse data feeds a I cracked and address ability allows for application access. >>Correct. So we look at the entire data landscape and say, we want to help you get data value out of your data wherever it lives. And it's right now, we've changed to the point where we are operating on data in motion, which is with data stream processor, which is hugely beneficial. You mentioned you know, a I m l way actually do something so unique from an ML perspective because we're actually doing the ml on the live streaming so, so much more valuable than doing it in batch mode. And so the ability to create those ML models by working on live data is super powerful. >>Good announcement. So you guys had the data processor. You have the search fabric, >>data fabric search, >>real time and acceleration our themes there. I want to get your thoughts on your new pricing options. Yes. Why now? What's that mean for customers? >>So if we want to bring data to everything, we have to allow them to actually get all the data right? So we needed to give them more flexible models and more alternative models. So for some people and just motto is very comfortable. But what they want it was more flexibility. So if you look at our new traunch pricing are predictable pricing, there's a couple of things that we've done with it. Number one is from 125 gig all the way up to unlimited. We'll show your predictable pricing so you don't have to guess. Well, if I move from 20 terabytes 2 50 what's that gonna cost me? We're gonna tell you, and you're gonna know and so That's one. The second thing is you don't have to land on the exact ingest. So before, if you bought a terabyte, you got a terabyte. Right now there's a traunch from 1 to 2 terabytes. There's a trunk from 2 to 5 terabytes. And so it gives the customers flexibility so that they don't have to worry about it coming back to buy more right away. >>So that's kind of cloud by as you go variable pricing. Exactly. I want your thoughts on some of the sales motions and position and you guys have out in the field. Visa VI. The industry has seen a lot of success and say Observe ability. For instance, Southern to Rick and Kartik About this. Yes, you guys are an enterprise software cloud and on premises provider you Enterprise sales motion. >>Yes, >>there's a lot of other competition up there that sells for the SNB. They're like tools. What's the difference between an offering that might look like Splunk but may be targeting the SNB? Small means business and one that needs to be full blown enterprise. >>Yeah, so I think the first and foremost most of the offerings that we see land in S and B. They have scale issues over time, I and so what we look at it and say is and they're mostly point products, right? So you can you can clutter up your environment with a bunch of point products, doing all these different things and try and stitch them together. Or you can go with this fun clock for him. So which allows you thio perform all of the same operations, whether B I t Security or Data Analytics in general. But it really isn't. It's about having the platform. >>You guys, what reduced the steps it takes to implement our What's the value? I guess. Here's Here's the thing. What's the pitch? So I'm on Enterprise. I'm like, Okay, I kept Dad. I got a lot of potential things going on platform. I need to make my data work for me any day to be everywhere. I au g Enterprise Cloud. What's the Splunk pitch? >>So our pitches were bringing dated everything, and first and foremost it's important. Understand why? Because we believe at the heart of every problem is a data problem. And we're not just talking t and security. As you know, you saw so many examples. I think you talk to his own haven earlier this week. Right? Wildfires is a data problem New York Presbyterian is using using us for opioid crisis. Right? That's a data problem. So everything's a data problem. What you want is a platform that can operate against that data and remove the barriers between data and action. And that's really what we're focused on. >>He mentions own haven that was part of Splunk Ventures Fund. You have a social impact fund? Yes, what's the motivation line that is just for social good? Is there a business reason behind it or both? >>What's this? So we actually have to social focuses. One is long for good, and that is non profit. What we announced this, what we announced a couple weeks ago that we reiterated yesterday was the spunk, social impact funds, a splint venture social impact fund, and this is to invest in for profit companies using data for social good. And the whole reason is that we look at it and so we say we're a platform. If you're a platform, you want to build out the ecosystem, right? And so the Splunk Innovation Fund splint Ventures Innovation Fund is to invest in new technology focused on that that brings value out of data. And on the other side, it's the spunk. Social impact. Thio get data companies that are taking data and creating such a >>Splunk for good as Splunk employees or a separate nonprofit. And >>it's not a separate nonprofit entity, but it is what we what we invest in. Okay. >>Oh, investing in >>investing in non for profit. Exactly like when we talked about the Global Emancipation Network right, which uses Splunk to fight human trafficking. That's on the nonprofit side. >>So take me through. This is a really hot area we've been covering for good because all roads I want now is for bad. Mark Zuckerberg's testifying from the Congress this morning kind of weird to watch that, actually, but there's a lot of good use cases. Tech tech can be shaped for good. A lot of companies are starting and getting off the ground for good things, but they're kind of like SMB, but they want the Splunk benefit. How do they engage with spunk if I'm gonna do ah social impact thing say cube for good? I got all this Tech. How do I engage punk? I wanted, but I don't know what to do. Have access to tools? How do I buy or engage with Splunk? >>Yes, start parties. Fund managers is making sure it's not just money, right? It's money, its access to talent. It's access to our product. And it's, you know, help with actually thinking through what they're trying to achieve, so it really is the entire focus. It's not just about the tech, Thea. Other thing I would say is you saw that we put out a Splunk investigate, and you also saw us talking about spunk, business slow and mission control. Those air now all built on a native SAS platform. And so the ability for our ecosystem now to go build on a native son platform is going to be incredibly powerful. >>So you expect more accelerated opportunities that all right, what's your favorite customer success stories? I know it's hard to pick your favorites, like picking a favorite child may be filled with the categories. Most ambitious class clown class favorite me. What's the ones you would call a really strong, >>so hit on a couple of my lover Domino story and the other one that I love, that I touched on. But I want to expand on because I think it's an amazing story. Is New York Presbyterian on using the Yes See you sprung for traditional security for private patient privacy. They also use it for medical devices. But here's the thing they use it for to help the opioid crisis. And you're like, How is opioid crisis a data problem? What they do is they actually correlate all the data that so doctors are prescribing the opioids who they're prescribing them to a number of prescriptions being building their pharmacy and then the inventory of opioids. Because they actually have sensors on all the cabinets where they get the opioids, they correlate all the data, and they make sure that if they understand if opioids being stolen from the hospital, because what people don't understand is that the opioid a lot of big part of the opioid crisis starts with hospitals to say of such a big volume of opioids. And so that, to me, is just I guess I love it because it's a great customer success story. But it's also again, it's so much fun doing good problem. >>A lot of deaths. I gotta ask you around your favorite moments here dot com, and you're a lot of conversations in your customer conversations this year. Let's do a little Splunk of the Cube right now can take the patterns, all the data, your meetings. What's the top patterns that are emerging? What are some of the top conversation themes that just keep popping up with customer? Specifically, >>I think the biggest thing is that they have seen more innovation unleash this year than they have ever seen in one year from Splunk. The other thing is that we've gone far outside of our traditional spunk index right and that the portfolio has grown so much and that we're allowing them to operate and get value out of the data wherever it lives. So data in motion and then you saw in data fabric search. We'll let you query not only the Splunk indices, but also H D. F s and s three buckets and more buckets to come. So more sinks if you will. So, really, what we're trying to do is say, we're just going to be your date a platform to help you get value >>Susan, you're a great leader and slung. Congratulations on your success again. They continue to grow every year. Splunk defies the critics. Now you're a market leader. Culture is a big part of this. What is your plans this year To take it to the next level? You're president of field worldwide, field operations, global business landscape. What are some of your goals and objectives on culture >>and the culture? So thank you, Jon. First of all, for your comments and were so committed to our culture, I think you know, as you grow so quickly, it takes a real effort to stay focused on culture way, have an incredible diversity and inclusion program. Onda We do way. It's a business imperative for us. Every single leader has diversity, diversity, inclusion, focuses and targets. And so I think that's a huge part of our culture. And the reason I say that, John, I don't know if you've ever heard about a 1,000,000 data points. Did anybody ever way Always talk about, you know in different different settings will share a couple of our 1,000,000 data points. What we want to make sure is a culture is that way. >>We >>have our employees showing up with their authentic self and because you do your best work when you can show up is your authentic self. And so we have people share a handful of their 1,000,000 data points at all different times throughout the year to get to know each other as individuals, as human beings and really understand what matters to each other. And I love that 1,000,000 data points culture, and I got that. We truly live it. And again it's It's about authenticity. And so I think that's what makes us incredibly special. >>And inclusion helps that trust >>fund elaboration, yes, and also just add to that. We're very proud of the fact that we made the fortune list this year for best places to work for women. So it shows that our focus, you know, we started. We started revealing our metrics just about two years ago, and we've had significant improvement way. Believe that what you focus on what you measure is what you improve. So we started measuring and improving it, and this year we made the list for a fortune that's called walking. It is Congratulations. Thank you. We're very excited about >>awesome on global expansion. I'm assuming is on the radar. Well, >>always, especially at this point. We're ready to double down and some of the tier one mark. It's a lovely for sure >>wasn't saying. Legend. President of worldwide field operations here inside the Cube. Where day to slung dot com 10th anniversary of their customer conference Our seventh year covering Splunk Amazing Ride They continue to ride the big wave. Thats a Q bring you all the data on insights here. I'm John Ferrier. Thanks for watching.

>>live from Las Vegas. It's the Cube covering Splunk dot com. 19. Brought to You by spunk >>Hey, welcome back, everyone. We're live here in Las Vegas for Splunk dot com. I'm John Ferrier with Q two great guests. Tim would Bury, director of state and local affairs for Splunk and Charlie Crocker, CEO Zone Haven. Very innovative. Start up doing some incredible things with Splunk Ventures Financing Summerlee Financing around Really check for good guys. Welcome. Thank you, Charlie. First, explain what you guys are doing real quick because I think this is a great example of what I've been seeing now for two years now. But now, in the past year, renaissance of entrepreneurial activity around mission driven tech for good, where entrepreneurs are using the cloud and sass models and platforms like Splunk to stand up Mission Value Commission >>value. I like the term. Explain what you're doing. So simply put, we're building in evacuation planning and support to. So right now, there are more stronger fires happening. Over the last five years, we've had more than half of California's most destructive wildfires happened just in the last five years. So it's it's mission critical that we figure this out. Now the's fires air. So big goal is really just to get people out of harm's way. And that's a difficult job to figure out at three in the morning with a map on the hood of a pickup truck. So we're building Zillah ways for fire. There's no ways for five ways has got public safety >>people no ways. But the thing is, is that yesterday I was watching on TV and Pacific Palisades, California air drop of water on the canyon, right before house, and I see the people running right. You like running for their lives. There was a serious business. Exactly. You guys are trying to provide system >>we're trying to do. What we've built are a set of zones, the ability for the Fire Department, law enforcement and, oh yes, to work on customizing hyper local evacuation plans, hyperlocal down to the neighborhood level and then we're scaling that statewide. So how do you make sure that this fire department on these three law enforcement groups are coordinated before and how do they have the conversation with community before the event happens? If we can save five minutes at the time, the event happens, we're going to save lives. >>So this is really about making efficiency around the first responders on the scene from leveraging data which maps or their >>maps, data dynamic data, telemetry, data where the fire's gonna go simulations for how the fire could potentially grow. Who needs to get out of harm's way first. What's that gonna do to the traffic and Road Network? Talk >>about the original story. Then we get to this plug involvement, the origination stories you're sitting around. You're talking to friends in the business. >>So we have colleagues and friends that are in the business and many of them, you know, from the Silicon Valley these guys are innovative leaders in in fire on. They've got a lot of really good ideas on how to make their jobs better. >>They >>don't have a tech team, they don't have a tech arms. So we literally said, Look, we'll come in and we'll make work what your vision is, and that started to expand on. Now we started to move from these smaller jurisdictions. Too much larger >>jurisdictions. Data is driving the future. That's a tagline I'm reading. I've seen the new branding by the way, the new brains very strong, by the way. Love it, Thank you. So this is a good example of data driven value constituency fire professionals. That's all they think about is how to make people save put, get in harm's way to try to solve the fires. They don't have tech teams. You don't have a data center they don't have, like with boot up a consulting. To come into a waterfall of a meeting by that sign is just, Yeah, you can't just do that. They can't stand up. How did you guys get involved in this? It's data driven, obviously. What's the story? >>Way, Say, dated everything. We really mean it. It's really you know, it's a personal story for me. I am on the government affairs team here. It's flowing, so I manage relationships with governors and mayors, and these are the issues that they care about right When the city's burning down, the mayor cares about that. The governor, This is you know, one of the governor in California's major initiatives is trying to find solutions on wildfires. I met Charlie, my hometown. Orinda, California Aren't Fire Chief in that town was one of sort of the outside advisers working with Charlie on this idea. And we're and I met him at a house party where the fire chief was telling me to trim my trees back and shrubs back. And then I was at a conference three days later that same fire chief, Dave Liniger. I was on a panel with folks from a super computer lab and NASA and M i t was like, you know, my fire chiefs, Still the smartest guy in that panel. I gotta meet this guy. A few weeks later, we were literally in the field doing these concepts with sensors and data. Super savvy folks. Some of the other folks from Cal Fire there. Dr. Cox was with us today. Here on. You know, we've just been collaborating the whole time and seeing you know that that Splunk and really put some fire power power behind these guys and we see like, Look, they've got the trust of these customers and we need to make sure this idea happens. It's a great idea, and it's gonna save lives. >>It's crazy way did a test burn where we run a small burn on a day where we're very confident it won't grow. Put the sensors out right next to a school in Arena. It was his kid's school. >>Yeah, I have a kindergartner that goes to that school, so >>it's slightly personal for you. I could >>be I could be said that this is just me protecting my own. But it is something that I think will save lives around the world. >>First of all, this, there is huge human safety issues on both sides. The ire safety put in harm's way. Those professionals go out all day long, putting their lives at risk to save human, the other human beings. And so that's critical. But if you look at California, this other impact cost impact rolling blackouts because they can't instrument the lines properly just because of the red red flag warnings off wind. I mean, I could be disrupted businesses, disruptive safety. So so PG and e's not doing us any favors either. Sound so easy. Just fix it. >>It sounds easy, but I think with be Jeannie, it's interesting way do need to prevent wildfires and really any way that we can. But like you said, if we could bring more data to the problem maybe we can have the blackouts be smaller. You know, they don't have to be a CZ big. >>There's certainly no lack of motivation to find solutions to this issue. There are lives on the line. There's billions of dollars on the line that these types of solutions own haven a part of part of what is going to fix it. But there are many very large stake holders that need these solutions very quickly. >>Well, you know the doers out there making it happen of the people in the front lines on the people they're trying to protect our cities, our citizens on this sounds like a great example of tech for good, where you guys are doing an entrepreneurial efforts with people who need it. There's a business, miles, not free non profit. You're gonna get paid. It's a business model behind. >>There is a business bottle behind it, and I think the value proposition is only beginning to be understood, right? There were so many missions in so many different ways. Wildfires are massive. You can come at him from satellite, come at him from on the ground. We're working with the people on the ground who need to get people out of harm's way. We're focusing on making their jobs easier, so they're safer and they get people out >>more quickly. You guys in the tech business, we always talking. We go. These events were re platforming our business. A digital transformation. You know all the buzz, right? Right. This is actually an acute example of what I would call re platforming life because you're taking a really life example. Fire California Fire forest There, out in the trees trimming thing is all real life. This isn't like, you know, some digital website. >>We certainly I mean, I've been in the data business for more more time than I can remember, and we've got the tools, tools, like Splunk tools. Like Amazon Web service is we've got the data. There's satellites all over. We've got smart people in machine learning way. Need to start applying that to do good, right? It exists. We do not need to go invent new technology right now in order to solve this problem, >>Charlie, really inspired by your position and your your posture. I want you to spend more time talking about that feature because you're an entrepreneur. You're not just detect for good social justice Warrior, You're an experienced data entrepreneur, applying it to a social good project. It's not like I'm gonna change the world, you actually doing it. There's a path for other entrepreneurs to make money to do good things fast. Talk about the journey because with cloud computing, it's not like a 10 year horizon. There's a path for immediate benefit. I >>mean the pat. So I mean in terms of creating a profitable venture. We're a young company way feel like we have a good, good direction way feel like there is a market for this way. Also feel like there's public private partnerships Here is well, I think that we can take the same solutions that we have here and apply them to campuses. You could apply it to, you know, a biotech campus, a university campus. You could apply it to a military base, right? There's insurance could be involved in this because insurance risk people are losing insurance in their homes as well. So you know, there's a lot of different angles that we can take for this exact same. Say >>that what's the expression dated to everything. Yet this is an example of taking data on applying it to some use case. >>A very specific cool evacuation neighborhood evacuation and really building the community fabric so that people take care of each other and can get out together. Where are the vulnerable populations in that zone? Who's gonna go respond to those If if the fire department can't come in, right, How are we gonna get those people out? >>I love the vision. You guys were also for putting some cash in their spunk. Ventures. Congratulations. Talk about the product. Where you guys at using Splunk. You putting data sensors out there, You leveraging existing data. Both take us through some of the nuts and bolts of what's going on the >>price. So part of it is building out some data sets. So there are some data sets that don't exist. But the government and the counties and the private sector have built out a huge corpus of data around where the buildings are, where the people are, where the cell phones are, where the traffic is. So we're able to leverage that information as we have it today. Technology. We're using the Amazon stack. It's easy for us to spin up databases. It's easy for us to build out and expand, as as we grow online with Splunk were able to have a place for all this real time data toe land. And for us to be able to build a P I's to pull it out very >>simply having a conversation with Teresa Carlson, who runs Amazon Web sites. Public sector variety of these things of projects are popping up. Check for good. That's for profit. It helps people and the whole idea of time to value with cloud and flunks. Platform of leveraging diverse data making Data Realtor whether it's real time, time, serious data or using a fabric surge or accelerated processing capabilities is that you can get the value quicker. So if you got an idea for you to wait two years of just e whether it was it a hit or not, you can illiterate now. So this idea of the start of agile startup is now being applied to these public sadly like things. So it's everything >>you spot on, and you know the unique element of Splunk with some of these data sources way don't necessarily know which ones are gonna be the right ones. We're talking about satellite data, sensor data. Some of this on. Part of it is we're building an outdoor smoke alarm, right? No one's ever done that before. So, you know, with court nature of Splunk technology being able to easily, you know, try to see if that is the right data source is critical, giving people the man with two go try to make this happen. >>You guys are a great example of zone haven, Charlie, You and your team of what I call a reconfiguration of the value creation of startups. You don't need to have full stack develop. You got half the stack and Amazon domain expertise in the inertial properties flipped around from being software on this intellectual mode to domain specific intellectual property. You took the idea of firefighters and you're implementing their idea into your domain expertise using scale and data to create a viable, busy >>other thing. I want to throw in there, though, and this is something that people often forget a big part of our investments going to be in user experience. This thing needs to be usable by the masses. It cannot be a complicated solution. >>You X is the new software data is the new code, but anyone can start a company if they have an innovative idea. You don't have to have a unique algorithm that could be a use case to solve a problem. >>If you have a very Calgary them, you can put it on Splunk Platform or Amazons platform and scale it. >>This is going to change, I think, the economic landscape of what I call tech for good now. But it's entrepreneurship redefined. You guys are great working example of that. Congratulations on the vision. Thank you to you and your team. Thanks for coming on the Q. Thanks for sharing. It's great to be here. It's a great example of what's going on with data for everything. Of course, this acute were cute for everything. We go to all the events of smart people and get the data and share that with you here in Las Vegas for dot com. 10 years of conference our seventh year, I'm John Ferrier. We'll be back with more coverage after this short break