>> from Austin, Texas. It's Theo Cube, covering pure storage. Accelerate 2019. Brought to you by pure storage. >> Welcome back to the Cube. Lisa Martin Day Volante is my co host were a pure accelerate 2019 in Austin, Texas. A couple of guests joining us. Next. Please welcome Barack elected director product management for slunk. Welcome back to the Cube. Thank you. And guess who's back. Von Stewart. V. P. A. Technology from pure Avon. Welcome back. >> Hey, thanks for having us guys really excited about this topic. >> We are too. All right, so But we'll start with you. Since you're so excited in your nice orange pocket square is peeking out of your jacket there. Talk about the Splunk, your relationship. Long relationship, new offerings, joint value. What's going on? >> Great set up. So Splunk impure have had a long relationship around accelerating customers analytics The speed at which they can get their questions answered the rate at which they could ingest data right to build just more sources. Look at more data, get faster time to take action. However, I shouldn't be leading this conversation because Split Split has released a new architecture, a significant evolution if you will from the traditional Splunk architectural was built off of Daz and a shared nothing architecture. Leveraging replicas, right? Very similar what you'd have with, like, say, in H D. F s Work it load or H c. I. For those who aren't in the analytic space, they've released the new architecture that's disaggregated based off of cashing and an object store construct called Smart Store, which Broth is the product manager for? >> All right, tell us about that. >> So we release a smart for the future as part of spunk Enterprise. $7 to about a near back back in September Timeframe. Really Genesis or Strong Smart Strong goes back to the key customer problem that we were looking to solve. So one of our customers, they're already ingesting a large volume of data, but the need to retain the data for twice, then one of Peter and in today's architecture, what it required was them to kind of lean nearly scale on the amount of hardware. What we realized it. Sooner or later, all customers are going to run into this issue. But if they want in just more data or reading the data for longer periods, of time, they're going to run into this cost ceiling sooner or later on. The challenge is that into this architecture, today's distributes killer dark picture that we have today, which of all, about 10 years back, with the evolution of the Duke in this particular architecture, the computer and story Jacqui located. And because computer storage acqua located, it allows us to process large volumes of data. But if you look at the demand today, we can see that the demand for storage or placing the demand for computer So these are, too to directly opposite trans that we're seeing in the market space. If you need to basically provide performance at scale, there needs to be a better model. They need a better solution than what we had right now. So that's the reason we basically brought Smart store on denounced availability last September. What's Marceau brings to the table is that a D couples computer and storage, So now you can scale storage independent of computers, so if you need more storage or if you need to read in for longer periods of time, you can just kill independent on the storage and with level age, remote object stores like Bill Flash bid to provide that data depository. But most of your active data said still decides locally on the indexers. So what we did was basically broke the paradigm off computer storage location, and we had a small twist. He said that now the computer stories can be the couple, but you bring comfort and stories closer together only on demand. So that means that when you were running a radio, you know, we're running a search, and whenever the data is being looked for that only when we bring the data together. The other key thing that we do is we have an active data set way ensure that the smart store has ah, very powerful cash manager that allows that ensures that the active data set is always very similar to the time when your laptop, the night when your laptop has active data sets always in the cash always on memory. So very similar to that smarts for cash allows you to have active data set always locally on the index. Start your search performance is not impact. >> Yes, this problem of scaling compute and storage independently. You mentioned H. D. F s you saw it early on there. The hyper converged guys have been trying to solve this problem. Um, some of the database guys like snowflakes have solved it in the cloud. But if I understand correctly, you're doing this on Prem. >> So we're doing this board an on Prem as well as in Cloud. So this smart so feature is already available on tramp were also already using a host all off our spun cloud deployments as well. It's available for customers who want obviously deploy spunk on AWS as well. >> Okay, where do you guys fit in? So we >> fit in with customers anywhere from on the hate say this way. But on the small side, at the hundreds of terabytes up into the tens and hundreds of petabytes side. And that's really just kind of shows the pervasiveness of Splunk both through mid market, all the way up through the through the enterprise, every industry and every vertical. So where we come in relative to smart store is we were a coat co developer, a launch partner. And because our object offering Flash Blade is a high performance object store, we are a little bit different than the rest of the Splunk s story partner ecosystem who have invested in slow more of an archive mode of s tree right, we have always been designed and kind of betting on the future would be based on high performance, large scale object. And so we believe smart store is is a ah, perfect example, if you will, of a modern analytics platform. When you look at the architecture with smart store as brush here with you, you want to suffice a majority of your queries out of cash because the performance difference between reading out a cash that let's say, that's NAND based or envy. Emmy based or obtain, if you will. When you fall, you have to go read a data data out of the Objects store, right. You could have a significant performance. Trade off wean mix significantly minimized that performance drop because you're going to a very high bandwith flash blade. We've done comparison test with other other smart store search results have been published in other vendors, white papers and we show Flash blade. When we run the same benchmark is 80 times faster and so what you can now have without architecture is confidence that should you find yourself in a compliance or regulatory issue, something like Maybe GDP are where you've got 72 hours to notify everyone who's been impacted by a breach. Maybe you've got a cybersecurity case where the average time to find that you've been penetrated occurs 206 days after the event. And now you gotta go dig through your old data illegal discovery, you know, questions around, you know, customer purchases, purchases or credit card payments. Any time where you've got to go back in the history, we're gonna deliver those results and order of magnitude faster than any other object store in the market today. That translates from ours. Today's days, two weeks, and we think that falls into our advantage. Almost two >> orders of magnitude. >> Can this be Flash Player >> at 80%? Sorry, Katie. Time 80 x. Yes, that's what I heard. >> Do you display? Consider what flashlight is doing here. An accelerant of spunk, workloads and customer environment. >> Definitely, because the forward with the smart, strong cash way allow high performance at scale for data that's recites locally in the cash. But now, by using a high performance object store like your flash played. Customers can expect the same high performing board when data is in the cash as well as invented sin. Remorseful >> sparks it. Interesting animal. Um, yeah, you have a point before we >> subjects. Well, I don't want to cut you off. It's OK. So I would say commenting on the performance is just part of the equation when you look at that, UM, common operational activities that a splitting, not a storage team. But a Splunk team has to incur right patch management, whether it's at the Splunk software, maybe the operating system, like linen store windows, that spunk is running on, or any of the other components on side on that platform. Patch Management data Re balancing cause it's unequal. Equally distributed, um, hardware refreshes expansion of the cluster. Maybe you need more computer storage. Those operations in terms of time, whether on smart store versus the classic model, are anywhere from 100 to 1000 times faster with smart store so you could have a deployment that, for example, it takes you two weeks to upgrade all the notes, and it gets done in four hours when it's on Smart store. That is material in terms of your operational costs. >> So I was gonna say, Splunk, we've been watching Splunk for a long time. There's our 10th year of doing the Cube, not our 10th anniversary of our 10th year. I think it will be our ninth year of doing dot com. And so we've seen Splunk emerged very cool company like like pure hip hip vibe to it. And back in the day, we talked about big data. Splunk never used that term, really not widely in its marketing. But then when we started to talk about who's gonna own the big data, that space was a cloud era was gonna be mad. We came back. We said, It's gonna be spunk and that's what's happened. Spunk has become a workload, a variety of workloads that has now permeated the organization, started with log files and security kind of kind of cumbersome. But now it's like everywhere. So I wonder if you could talk to the sort of explosion of Splunk in the workloads and what kind of opportunity this provides for you guys. >> So a very good question here, Right? So what we have seen is that spunk has become the de facto platform for all of one structure data as customers start to realize the value of putting their trying to Splunk on the watch. Your spunk is that this is like a huge differentiate of us. Monk is the read only skim on reed which allows you to basically put all of the data without any structure and ask questions on the flight that allows you to kind of do investigations in real time, be more reactive. What's being proactive? We be more proactive. Was being reactive scaleable platform the skills of large data volumes, highly available platform. All of that are the reason why you're seeing an increase that option. We see the same thing with all other customers as well. They start off with one data source with one use case and then very soon they realize the power of Splunk and they start to add additional use cases in just more and more data sources. >> But this no >> scheme on writer you call scheme on Reed has been so problematic for so many big data practitioners because it just became the state of swamp. >> That didn't >> happen with Splunk. Was that because you had very defined use cases obviously security being one or was it with their architectural considerations as well? >> They just architecture, consideration for security and 90 with the initial use cases, with the fact that the scheme on Reid basically gives open subject possibilities for you. Because there's no structure to the data, you can ask questions on the fly on. You can use that to investigate, to troubleshoot and allies and take remedial actions on what's happening. And now, with our new acquisitions, we have added additional capabilities where we can talk, orchestrate the whole Anto and flow with Phantom, right? So a lot of these acquisitions also helping unable the market. >> So we've been talking about TAM expansion all week. We definitely hit it with Charlie pretty hard. I have. You know, I think it's a really important topic. One of things we haven't hit on is tam expansion through partnerships and that flywheel effect. So how do you see the partners ship with Splunk Just in terms of supporting that tam expansion the next 10 years? >> So, uh, analytics, particularly log and Alex have really taken off for us in the last year. As we put more focus on it, we want to double down on our investments as we go through the end of this year and in the next year with with a focus on Splunk um, a zealous other alliances. We think we are in a unique position because the rollout of smart store right customers are always on a different scale in terms of when they want to adopt a new architecture right. It is a significant decision that they have to make. And so we believe between the combination of flash array for the hot tear and flash played for the cold is a nice way for customers with classic Splunk architecture to modernize their platform. Leverage the benefits of data reduction to drive down some of the cost leverage. The benefits of Flash to increase the rate at which they can ask questions and get answers is a nice stepping stone. And when customers are ready because Flash Blade is one of the few storage platforms in the market at this scale out band with optimized for both NFS and object, they can go through a rolling nondestructive upgrade to smart store, have you no investment protection, and if they can't repurpose that flash rate, they can use peers of service to have the flesh raise the hot today and drop it back off just when they're done within tomorrow. >> And what about C for, you know, big workloads, like like big data workloads. I mean, is that a good fit here? You really need to be more performance oriented. >> So flash Blade is is high bandwith optimization, which really is designed for workload. Like Splunk. Where when you have to do a sparse search, right, we'll find that needle in the haystack question, right? Were you breached? Where were you? Briefed. How were you breached? Go read as much data as possible. You've gotta in just all that data, back to the service as fast as you can. And with beast Cloud blocked, Teresi is really optimized it a tear to form of NAND for that secondary. Maybe transactional data base or virtual machines. >> All right, I want more, and then I'm gonna shut up sick. The signal FX acquisition was very interesting to me for a lot of reasons. One was the cloud. The SAS portion of Splunk was late to that game, but now you're sort of making that transition. You saw Tableau you saw Adobe like rip the band Aid Off and it was somewhat painful. But spunk is it. So I wonder. Any advice that you spend Splunk would have toe von as pure as they make that transition to that sass model. >> So I think definitely, I think it's going to be a challenging one, but I think it's a much needed one in there in the environment that we are in. The key thing is to always because two more focus and I'm sure that you're already our customer focus. But the key is key thing is to make sure that any service is up all the time on make sure that you can provide that up time, which is going to be crucial for beating your customers. Elise. >> That's good. That's good guidance. >> You >> just wanted to cover that for you favor of keeping you date. >> So you gave us some of those really impressive stats In terms of performance. >> They're almost too good to be true. >> Well, what's customer feedback? Let's talk about the real world when you're talking to customers about those numbers. What's the reaction? >> So I don't wanna speak for Broth, so I will say in our engagements within their customer base, while we here, particularly from customers of scale. So the larger the environment, the more aggressive they are to say they will adopt smart store right and on a more aggressive scale than the smaller environments. And it's because the benefits of operating and maintaining the indexer cluster are are so great that they'll actually turn to the stores team and say, This is the new architecture I want. This is a new storage platform and again. So when we're talking about patch management, cluster expansion Harbor Refresh. I mean, you're talking for a large sum. Large installs weeks, not two or 3 10 weeks, 12 weeks on end so it can be. You can reduce that down to a couple of days. It changes your your operational paradigm, your staffing. And so it has got high impact. >> So one of the message that we're hearing from customers is that it's far so they get a significant reduction in the infrastructure spent it almost dropped by 2/3. That's really significant file off our large customers for spending a ton of money on infrastructure, so just dropping that by 2/3 is a significant driver to kind of move too smart. Store this in addition to all the other benefits that get smart store with operational simplicity and the ability that it provides. You >> also have customers because of smart store. They can now actually bursts on demand. And so >> you can think of this and kind of two paradigms, right. Instead of >> having to try to avoid some of the operational pain, right, pre purchase and pre provisional large infrastructure and hope you fill it up. They could do it more of a right sides and kind of grow in increments on demand, whether it's storage or compute. That's something that's net new with smart store um, they can also, if they have ah, significant event occur. They can fire up additional indexer notes and search clusters that can either be bare metal v ems or containers. Right Try to, you know, push the flash, too. It's Max. Once they found the answers that they need gotten through. Whatever the urgent issues, they just deep provisionals assets on demand and return back down to a steady state. So it's very flexible, you know, kind of cloud native, agile platform >> on several guys. I wish we had more time. But thank you so much fun. And Deron, for joining David me on the Cube today and sharing all of the innovation that continues to come from this partnership. >> Great to see you appreciate it >> for Dave Volante. I'm Lisa Martin, and you're watching the Cube?

>> from the Silicon Angle Media Office in Boston, Massachusetts. It's the cue. Now, here's your host. Day Volonte. >> Hi, >> everybody. Welcome to this cute conversation. I'm Dave Volonte and Stew Minuteman is here with me. We're gonna break down a w s kind of give you Ah, midyear What's happened so far this year with all the events that we've been covering and what to look forward to? Uh, the N Y C Summit is coming up stew. It's been a big year. Obviously. What we came off a re invent. Amazon's got $30,000,000,000 run rate business growing at 40 plus percent per year. That means they're putting 9,000,000,000 of incremental revenue every year into the cloud business. The marketplace, That growth that's roughly as large is tthe e entire Microsoft cloud business, which is astounding >> day that that that's that's the point Amazon definitely has been making for a couple of years. And you're absolutely right. Microsoft is definitely growing at a faster pace than Amazon, and they're running about 75 87 but off a much smaller number. So the incremental add that Amazon has been throwing off the last couple years. Every year they're adding more than an azure every year. So absolutely Amazon, you know, is the lead horse out there. And while you know, the horses on the track behind them are trying fast to catch up Amazon. If you talk about Infrastructures service, AWS is still the lead. >> Well, the big question is. Will that attenuate? And we were at Remember the Nutanix inaugural Nutanix Stop next? Do you rush Pandey, who's very smart guy, somebody we respect a lot. One of the fundamental assumptions they were making is eventually the law of large numbers will catch up to them and know it very well May. But it hasn't yet. I asked John Lovelock, can a company the size of Amazon $30,000,000,000 company grow it for 42% a year? Is that sustainable? And he said, Absolutely. There's nothing to stop them now. Who knows who has the crystal ball? What are your thoughts? >> Yeah, So, Dave, what we saw is Amazon's not sitting still. You know, they always like to say it's always Day one, and if you look at where they're going, the products that they keep throwing off the innovation that they keep moving on and the flywheel that they've had first of customer acquisition with all of the innovations that they're putting out there and the flight well. But I've been talking about the last couple of years the label of data, which is something we want to be a little concerned about. How much data Amazon actually does have both Amazon AWS and Amazon, with all those intelligent devices that are in your homes and connecting everything together. Some people are a little concerned about that. The government's a little bit concerned about that, but absolutely Amazon is going everywhere. We've seen Amazon going into sub segments of the market, going into verticals and going just really broad, really deep. So absolutely I don't see anything slowing a bit on down. It is a company that continues to impress one of >> the challenges. I think those do that that Amazon does have, and this came out of the reinforced >> conference a couple weeks ago in Boston, which was, Ah, conference for security practitioners, a lot of si SOS chief information security officers. The number one challenge that came out of that when you talk to practitioners was their ability to keep up with the innovations that Amazon is putting forth. So, you know, I wonder if we're gonna talk to some commercial customers. You'll see them down the summit probe to see if, in fact, that's part of their challenge. Just the pace at which Amazon brings out new features. But we've done Gosh, we've covered eight events or will have covered eight events this year. Eight productions. It started in the U. K. Where we covered a public sector health care. And then we did the AWS summit London really all about both public sector in the UK as well as the summit in the UK Innovations in the UK around cloud, etcetera, cloud adoption. 12,000 people at the AWS London summit. Now you covered re Mars, which was not the Cube wasn't there, but you were there. What was that show? >> Yes. So, first of all, it's an Amazon >> show, not a native US show, but absolutely showed underneath where eight of us fits into the fulfillment centers of Amazon. And it was about re Marceau Mars A play of course on space. But it was a machine learning automation, robotics in space. So you had the cool blue origin stuff that actually brought in. Robert Downey Jr talked about how he's going to save the planet with, you know, robotics and intelligence out there to help clean up pollution in the globe on and the like. But it was a phenomenal show, but what I said is actually going to show a little bit underneath the covers of Amazon similar what we've seen from eight of us at the reinvent shows over the years. Because, you know, we all know how many boxes air coming to our, you know, our place of home every day and how fast that's going. And so this is what's happening underneath the robotics and machine learning a lot of those Air AWS Service's that are powering that. So it was a fascinating show, Dave and absolutely showed other relationship between Amazon, the parent company. Eight of us, all those cloud service is that helped feed the bigger business. >> Now, June, the Cube covered the D. C. Public sector summit. This is Teresa Carlson's gig. She's the host. Actually, Andy Jassy was there this time. He wasn't there last year when you and I recovering it. And of course, that's all about bringing cloud to public sector, not just federal but all public sector. It includes AH, non profit and education, which talk about in a minute. The big story. There is a jet. I we're talking about tens of billions of dollars going to ah, contract. Oracle, of course, is fighting it. It's going into the courts. I guess they've been a number of reviews or could won't give up its oracle. Amazon clearly is the front runner. Last I read, it was down to AWS and Microsoft, with AWS being the lead contender there. We'll see what happens. I think the decision is coming down this month, July 2019. But it's really again about bringing cloud innovations to public sector. Public sector tends to take things a little bit later than the commercial like. For instance, last year they announced the the VM wear on AWS was available, so you'll see those kinds of things come maybe a year later. But its again. Another big show there 12. 13,000 people there at the D. C Convention center. >> Yeah, Davey, when you talked about the critique of what's happening in Amazon as Amazon goes deeper into all of these verticals How do they help get that information to the user in a way that they need to run their businesses? So my co host for New York City's Cory Quinn was listen to his podcast this morning and he said, That's where Amazon's got dozens of blog's. They've got so many announcements, they haven't done a really good job, something we've seen many companies do. How do I get to you know that business roll and put it in, you know, verbal that they understand, as opposed to just >> Hey, we had 1000 new features >> come out this year and they're awesome. Then you should use everything s o. You know, that's something that, you know the industry as a whole needs to do better at an Amazon. Just in the nature of how fast they're moving is something that they should be able to do a better job. >> And Jennifer is also gonna be in New York City. And one of things he was stressing at reinforce was the marketplace. We had Dave McCann on the just rocketing. I think it was 100,000 census of security subscriptions. I think it was 1,000,000 subscriptions in total so just an amazing ah momentum in the marketplace. But reinforce was all about security. Deep dives on security, chief information, security officers. What came out of that show the big takeaway was was head of AWS is, uh, security. The chief information security officer, Schmidt said. This narrative in the industry that the sky is falling doesn't do anybody any good. Um, it's not productive. We should be more positive. The state of the cloud union is good, like the president of states is State of the Union is strong. Um, having said that, Amazon talks about the shared security model. The practitioners that we talked to said, Yeah, shared model Amazon's going to secure the the infrastructure of the storage, the compute of the database. We are responsible for our end, and it really is on us to make sure that we are secure. So again, back to that point about the pace of innovation that Amazon is putting forth is a challenge for people. AWS imagine is also going down. I think this week what's that you're >> so it's in Seattle and it's you mentioned the public Sector one in D. C, which is government agencies, nonprofits and education. So imagine is a subset of that. My understanding is the education, a nonprofit piece of that from when you and I were in D. C. Last year for the Public sector summit. It's It is impressive how deep Amazon is going into these spaces, the affinity they have. And really, you know how happy the customers are to be able to move fast. So, you know, when you think about nonprofits and think about education, innovation is not the first thing that usually comes to mind because budgets are tight and I don't have enough people. And usually you've got, you know, whatever's left over. But imagine is them. How do we move these forward? How do we You know, we know we need to help transform education. It's so important to train the next generation. So, you know, imagine there are some great stories that come out of that. Jeffrey loves getting those stories, helping us tell those stories through the Cube platform. And so it's the second year we're doing >> Yes, it would be covering that. And then, of course, reinvent will have two sets again that reinvent this year. The Super >> Bowl of our industry, >> right? Sure. Um, something's going on. So unfortunate incidents in Southern California. Big earthquakes, actually. Multiple earthquakes, Right? You had the physical earthquake, and then you had CO I, leonard going to the Clippers. But so I'm interested in sort of poking at this notion of ground stations. So at reinvent last year, Amazon announced on his own ground station, which essentially was ground station is a service. So if I understand it, one of the challenges okay, You launched the satellites, but you still need a ground station to collect the data and then uploaded and analyze it. That's what AWS is is partnering to put in infrastructure that allows you to essentially rent ground station infrastructure. So, you know, they worry about building it in securing it yourself. Because you think about it. It's got to be a secure location. You gotta have fencing. You got a physical security. You got to get the data in. You gotta upload it to the toe. Where we gonna upload it? So Amazon is basically building this service out, saying Don't worry about the ground station piece. Rent that from us, you know, swipe your credit card. Your ground station as a service, and then we'll ingest that data uploaded to the cloud and then apply all of the tooling that we have to allow you to analyze that data. So if you think about the earthquake of devastation, if you don't have a ground station there, you can, in theory, go to AWS and actually spin up a ground station in jest. You know, on the ground, you know, the ground truth as we like to sometimes talk about and actually get satellite imaging and telemetry in that region, you know, this comes into play things like forest fires and all kinds of of natural disaster. >> Dave, even at the remarks show, I attended a session where one of the Amazon partners was talking about not only just getting the satellite data down, but Justus. They have the snowball edge today, which is, you know, for you know, I ot or some remote sites, but some of these satellites are gonna have the compute and storage at in satellite themselves. So if you think about I'm gonna have these geosynchronous satellites. I'm gonna have all this connectivity. And if I could get a gigabit of Ethernet, you know, traffic going to the satellites and I could do the processing at the edge, which is now up in space. I can process that. And you know, that edge that we talked about get to hold another dimension, you know, off off the terra firma to be able to do those kind of analysis. As you said, earthquakes, you know, all the all the climate discussion that's going on, we should be able to have tap into even more. Resource is, and we'll have to rename Cloud if it even goes beyond the Earth. >> And then, um, outpost is the other story that we've been tracking, attracting a lot of stories, but but outpost is starting to ship in beta form. We've seen instances of >> so, so seeing >> it. We just did a little quick right up. >> I mean, Dave, you know, just a ripple went through the >> industry when they showed Hey, here's Iraq and what they're like. This is the exact same rack that we have in the Amazon data centers and why it's a little surprising because we're allowed to see inside the Amazon Data Center. So it's like, Okay, this is what they're computed awaited to 24 in tracking, supposed to a 19 in track. But that line between the public cloud and my on premises environment absolutely is blurring. So everybody wants to see where Amazon's going. They have the big partnership with VM, where Veum, where is already shipping the solution? That is the same software for that Veum wear on AWS in my data center. So, you know, I can have you know, the Dell hardware with the Veum where code or I can have the Amazon hardware with the VM where code coming later this year without post. So that line between public in private is absolutely blurring. And where to my applications live, You know that that future of how fast is eight of us continue to grow? Absolutely. There are applications and data and things that will stay in my own data center and under my control. But that line is definitely blurring. And there's gonna be some re architectures. It's definitely still gonna take a couple of years to sort some of these things out. But we're at some of those inflection points where we'll see some of >> us. So I wrote a post its upon wicked bond kind of analyzing that video, and there's some interesting things that are unique. There's certainly a lot of goodness in there. Not some of the things they talk about are completely unique. Thio, aws. But things like Nitro and their special virtual ization engine and their special chip on Do you want to get a look at that? You take a look at that video and thence to New York City Summit this week. Um, we mentioned some of the innovations that we've seen up to date this year. A lot of talk I'm sure about the marketplace. >> Yeah, I'm wondering if there'll be any ripples, Dave, because the 1/2 of a chick you, too, was supposed to be in New York City. And now it's not, doesn't mean they don't have a strong presence in New York City like London and believe it's somewhere around 12 to 15,000 people. When I went to New York City two years ago was quite impressive. It is a free show, which means if your customer you get in for free. If you're a partner, of course, you're still paying for everything that goes there. But the regional summits are quite impressive and a great way to get in touch with Amazon and all that they're doing. If you don't want to go to the Super Bowl itself, which is, you know, 50,000 plus now in Las Vegas towards the end of the year. >> Yeah, these air, like many reinvents and they're actually quite good. A lot of a lot of practitioner focused on you're gonna you're gonna see that New York City >> did what I always love about every Amazon show I go to. There are customers that are interested learning new things. How can you do better with what I'm doing? But also, how can I change what I'm doing? How can I move forward? So even if it's not adopting the latest and greatest from AWS, the entire ecosystem is going there to meet with those customers and talk about digital transformation? Modern workforce? All of these hot trends definitely play out. Ground zero is the AWS. >> Yeah, and this is by design. As I said before, the pace of innovation is a challenge for people. It's an adoption blocker and so Amazon wants to educate and share the knowledge so that they can get more adoption. OK, stew. Thanks very much. Good luck. This week. Check out silicon angle dot com For all the news, the cube dot net is where the videos will live and watch. Do on John Ferrier and Corey Quinn. Live and check out the cuban dot com for all the research. Thanks for watching Everybody Day, Volonte and Stupid Event. We'll see you next time.