hi everybody welcome back to re invent 2022. this is thecube's exclusive coverage we're here at the satellite set it's up on the fifth floor of the Venetian Conference Center and this is part of the global startup program the AWS startup showcase series that we've been running all through last year and and into this year with AWS and featuring some of its its Global Partners Ed wallson series the CEO of chaos search many times Cube Alum and Kevin Miller there's also a cube Alum vice president GM of S3 at AWS guys good to see you again yeah great to see you Dave hi Kevin this is we call this our Super Bowl so this must be like your I don't know uh World Cup it's a pretty big event yeah it's the World Cup for sure yeah so a lot of S3 talk you know I mean that's what got us all started in 2006 so absolutely what's new in S3 yeah it's been a great show we've had a number of really interesting launches over the last few weeks and a few at the show as well so you know we've been really focused on helping customers that are running Mass scale data Lakes including you know whether it's structured or unstructured data we actually announced just a few just an hour ago I think it was a new capability to give customers cross-account access points for sharing data securely with other parts of the organization and that's something that we'd heard from customers is as they are growing and have more data sets and they're looking to to get more out of their data they are increasingly looking to enable multiple teams across their businesses to access those data sets securely and that's what we provide with cross-count access points we also launched yesterday our multi-region access point failover capabilities and so again this is where customers have data sets and they're using multiple regions for certain critical workloads they're now able to to use that to fail to control the failover between different regions in AWS and then one other launch I would just highlight is some improvements we made to storage lens which is our really a very novel and you need capability to help customers really understand what storage they have where who's accessing it when it's being accessed and we added a bunch of new metrics storage lens has been pretty exciting for a lot of customers in fact we looked at the data and saw that customers who have adopted storage lens typically within six months they saved more than six times what they had invested in turning storage lens on and certainly in this environment right now we have a lot of customers who are it's pretty top of mind they're looking for ways to optimize their their costs in the cloud and take some of those savings and be able to reinvest them in new innovation so pretty exciting with the storage lens launch I think what's interesting about S3 is that you know pre-cloud Object Store was this kind of a niche right and then of course you guys announced you know S3 in 2006 as I said and okay great you know cheap and deep storage simple get put now the conversations about how to enable value from from data absolutely analytics and it's just a whole new world and Ed you've talked many times I love the term yeah we built chaos search on the on the shoulders of giants right and so the under underlying that is S3 but the value that you can build on top of that has been key and I don't think we've talked about his shoulders and Giants but we've talked about how we literally you know we have a big Vision right so hard to kind of solve the challenge to analytics at scale we really focus on the you know the you know Big Data coming environment get analytics so we talk about the on the shoulders Giants obviously Isaac Newton's you know metaphor of I learned from everything before and we layer on top so really when you talk about all the things come from S3 like I just smile because like we picked it up naturally we went all in an S3 and this is where I think you're going Dave but everyone is so let's just cut the chase like so any of the data platforms you're using S3 is what you're building but we did it a little bit differently so at first people using a cold storage like you said and then they ETL it up into a different platforms for analytics of different sorts now people are using it closer they're doing caching layers and cashing out and they're that's where but that's where the attributes of a scale or reliability are what we did is we actually make S3 a database so literally we have no persistence outside that three and that kind of comes in so it's working really well with clients because most of the thing is we pick up all these attributes of scale reliability and it shows up in the clients environments and so when you launch all these new scalable things we just see it like our clients constantly comment like one of our biggest customers fintech in uh Europe they go to Black Friday again black Friday's not one days and they lose scale from what is it 58 terabytes a day and they're going up to 187 terabytes a day and we don't Flinch they say how do you do that well we built our platform on S3 as long as you can stream it to S3 so they're saying I can't overrun S3 and it's a natural play so it's it's really nice that but we take out those attributes but same thing that's why we're able to you know help clients get you know really you know Equifax is a good example maybe they're able to consolidate 12 their divisions on one platform we couldn't have done that without the scale and the performance of what you can get S3 but also they saved 90 I'm able to do that but that's really because the only persistence is S3 and what you guys are delivering but and then we really for focus on shoulders Giants we're doing on top of that innovating on top of your platforms and bringing that out so things like you know we have a unique data representation that makes it easy to ingest this data because it's kind of coming at you four v's of big data we allow you to do that make it performant on s3h so now you're doing hot analytics on S3 as if it's just a native database in memory but there's no memory SSC caching and then multi-model once you get it there don't move it leverage it in place so you know elasticsearch access you know Cabana grafana access or SQL access with your tools so we're seeing that constantly but we always talk about on the shoulders of giants but even this week I get comments from our customers like how did you do that and most of it is because we built on top of what you guys provided so it's really working out pretty well and you know we talk a lot about digital transformation of course we had the pleasure sitting down with Adam solipski prior John Furrier flew to Seattle sits down his annual one-on-one with the AWS CEO which is kind of cool yeah it was it's good it's like study for the test you know and uh and so but but one of the interesting things he said was you know we're one of our challenges going forward is is how do we go Beyond digital transformation into business transformation like okay well that's that's interesting I was talking to a customer today AWS customer and obviously others because they're 100 year old company and they're basically their business was they call them like the Uber for for servicing appliances when your Appliance breaks you got to get a person to serve it a service if it's out of warranty you know these guys do that so they got to basically have a you know a network of technicians yeah and they gotta deal with the customers no phone right so they had a completely you know that was a business transformation right they're becoming you know everybody says they're coming a software company but they're building it of course yeah right on the cloud so wonder if you guys could each talk about what's what you're seeing in terms of changing not only in the sort of I.T and the digital transformation but also the business transformation yeah I know I I 100 agree that I think business transformation is probably that one of the top themes I'm hearing from customers of all sizes right now even in this environment I think customers are looking for what can I do to drive top line or you know improve bottom line or just improve my customer experience and really you know sort of have that effect where I'm helping customers get more done and you know it is it is very tricky because to do that successfully the customers that are doing that successfully I think are really getting into the lines of businesses and figuring out you know it's probably a different skill set possibly a different culture different norms and practices and process and so it's it's a lot more than just a like you said a lot more than just the technology involved but when it you know we sort of liquidate it down into the data that's where absolutely we see that as a critical function for lines of businesses to become more comfortable first off knowing what data sets they have what data they they could access but possibly aren't today and then starting to tap into those data sources and then as as that progresses figuring out how to share and collaborate with data sets across a company to you know to correlate across those data sets and and drive more insights and then as all that's being done of course it's important to measure the results and be able to really see is this what what effect is this having and proving that effect and certainly I've seen plenty of customers be able to show you know this is a percentage increase in top or bottom line and uh so that pattern is playing out a lot and actually a lot of how we think about where we're going with S3 is related to how do we make it easier for customers to to do everything that I just described to have to understand what data they have to make it accessible and you know it's great to have such a great ecosystem of partners that are then building on top of that and innovating to help customers connect really directly with the businesses that they're running and driving those insights well and customers are hours today one of the things I loved that Adam said he said where Amazon is strategically very very patient but tactically we're really impatient and the customers out there like how are you going to help me increase Revenue how are you going to help me cut costs you know we were talking about how off off camera how you know software can actually help do that yeah it's deflationary I love the quote right so software's deflationary as costs come up how do you go drive it also free up the team and you nail it it's like okay everyone wants to save money but they're not putting off these projects in fact the digital transformation or the business it's actually moving forward but they're getting a little bit bigger but everyone's looking for creative ways to look at their architecture and it becomes larger larger we talked about a couple of those examples but like even like uh things like observability they want to give this tool set this data to all the developers all their sres same data to all the security team and then to do that they need to find a way an architect should do that scale and save money simultaneously so we see constantly people who are pairing us up with some of these larger firms like uh or like keep your data dog keep your Splunk use us to reduce the cost that one and one is actually cheaper than what you have but then they use it either to save money we're saving 50 to 80 hard dollars but more importantly to free up your team from the toil and then they they turn around and make that budget neutral and then allowed to get the same tools to more people across the org because they're sometimes constrained of getting the access to everyone explain that a little bit more let's say I got a Splunk or data dog I'm sifting through you know logs how exactly do you help so it's pretty simple I'll use dad dog example so let's say using data dog preservability so it's just your developers your sres managing environments all these platforms are really good at being a monitoring alerting type of tool what they're not necessarily great at is keeping the data for longer periods like the log data the bigger data that's where we're strong what you see is like a data dog let's say you're using it for a minister for to keep 30 days of logs which is not enough like let's say you're running environment you're finding that performance issue you kind of want to look to last quarter in last month in or maybe last Black Friday so 30 days is not enough but will charge you two eighty two dollars and eighty cents a gigabyte don't focus on just 280 and then if you just turn the knob and keep seven days but keep two years of data on us which is on S3 it goes down to 22 cents plus our list price of 80 cents goes to a dollar two compared to 280. so here's the thing what they're able to do is just turn a knob get more data we do an integration so you can go right from data dog or grafana directly into our platform so the user doesn't see it but they save money A lot of times they don't just save the money now they use that to go fund and get data dog to a lot more people make sense so it's a creativity they're looking at it and they're looking at tools we see the same thing with a grafana if you look at the whole grafana play which is hey you can't put it in one place but put Prometheus for metrics or traces we fit well with logs but they're using that to bring down their costs because a lot of this data just really bogs down these applications the alerting monitoring are good at small data they're not good at the big data which is what we're really good at and then the one and one is actually less than you paid for the one so it and it works pretty well so things are really unpredictable right now in the economy you know during the pandemic we've sort of lockdown and then the stock market went crazy we're like okay it's going to end it's going to end and then it looked like it was going to end and then it you know but last year it reinvented just just in that sweet spot before Omicron so we we tucked it in which which was awesome right it was a great great event we really really missed one physical reinvent you know which was very rare so that's cool but I've called it the slingshot economy it feels like you know you're driving down the highway and you got to hit the brakes and then all of a sudden you're going okay we're through it Oh no you're gonna hit the brakes again yeah so it's very very hard to predict and I was listening to jassy this morning he was talking about yeah consumers they're still spending but what they're doing is they're they're shopping for more features they might be you know buying a TV that's less expensive you know more value for the money so okay so hopefully the consumer spending will get us out of this but you don't really know you know and I don't yeah you know we don't seem to have the algorithms we've never been through something like this before so what are you guys seeing in terms of customer Behavior given that uncertainty well one thing I would highlight that I think particularly going back to what we were just talking about as far as business and digital transformation I think some customers are still appreciating the fact that where you know yesterday you may have had to to buy some Capital put out some capital and commit to something for a large upfront expenditure is that you know today the value of being able to experiment and scale up and then most importantly scale down and dynamically based on is the experiment working out am I seeing real value from it and doing that on a time scale of a day or a week or a few months that is so important right now because again it gets to I am looking for a ways to innovate and to drive Top Line growth but I I can't commit to a multi-year sort of uh set of costs to to do that so and I think plenty of customers are finding that even a few months of experimentation gives them some really valuable insight as far as is this going to be successful or not and so I think that again just of course with S3 and storage from day one we've been elastic pay for what you use if you're not using the storage you don't get charged for it and I think that particularly right now having the applications and the rest of the ecosystem around the storage and the data be able to scale up and scale down is is just ever more important and when people see that like typically they're looking to do more with it so if they find you usually find these little Department projects but they see a way to actually move faster and save money I think it is a mix of those two they're looking to expand it which can be a nightmare for sales Cycles because they take longer but people are looking well why don't you leverage this and go across division so we do see people trying to leverage it because they're still I don't think digital transformation is slowing down but a lot more to be honest a lot more approvals at this point for everything it is you know Adam and another great quote in his in his keynote he said if you want to save money the Cloud's a place to do it absolutely and I read an article recently and I was looking through and I said this is the first time you know AWS has ever seen a downturn because the cloud was too early back then I'm like you weren't paying attention in 2008 because that was the first major inflection point for cloud adoption where CFO said okay stop the capex we're going to Opex and you saw the cloud take off and then 2010 started this you know amazing cycle that we really haven't seen anything like it where they were doubling down in Investments and they were real hardcore investment it wasn't like 1998 99 was all just going out the door for no clear reason yeah so that Foundation is now in place and I think it makes a lot of sense and it could be here for for a while where people are saying Hey I want to optimize and I'm going to do that on the cloud yeah no I mean I've obviously I certainly agree with Adam's quote I think really that's been in aws's DNA from from day one right is that ability to scale costs with with the actual consumption and paying for what you use and I think that you know certainly moments like now are ones that can really motivate change in an organization in a way that might not have been as palatable when it just it didn't feel like it was as necessary yeah all right we got to go give you a last word uh I think it's been a great event I love all your announcements I think this is wonderful uh it's been a great show I love uh in fact how many people are here at reinvent north of 50 000. yeah I mean I feel like it was it's as big if not bigger than 2019. people have said ah 2019 was a record when you count out all the professors I don't know it feels it feels as big if not bigger so there's great energy yeah it's quite amazing and uh and we're thrilled to be part of it guys thanks for coming on thecube again really appreciate it face to face all right thank you for watching this is Dave vellante for the cube your leader in Enterprise and emerging Tech coverage we'll be right back foreign

(gentle music) >> Now welcome back to theCUBE, everyone. I'm John Walls, and once again, we're glad to have you here for AWS re:Invent 22. Our coverage continues here on Thursday, day three, of what has been a jam-packed week of tech and AWS, of course, has been the great host for this. It's now a pleasure to welcome in Anurag Gupta, who is the founder and CEO of Shoreline, joining us here as part of the AWS Global Showcase Startup Program, and Anurag, good to see you, sir. Thanks for joining us. >> Thank you so much. >> Tell us about Shoreline, about what you're up to. >> So we're a DevOps company. We're really focused on repairing issues. If you think about it, there are a ton DevOps companies and we all went to the cloud in order to gain faster innovation and by and large check. Then all of the things involved in getting things into production, artifact generation, testing, configuration management, deployment, also by and large, automated. Now pity the poor SRE who's getting the deluge of stuff on them, every week, every two days, sometimes multiple times a day, and it's complicated, right? Kubernetes, VMs, lots of services, multiple clouds, sometimes, and you know, they need to know a little bit about everything. And you know what, there are a ton of companies that actually help you with what we call Day-2 Ops. It's just that most of them help you with observability, telling you what's gone wrong, or incident management, routing something to someone. But you know, back when I was at AWS, I never got really that excited about one more dashboard to look at or one more like better ticket routing. What used to really excite me was having some issue extinguished forever. And if you think about it, like the first five minutes of an incident are detecting and routing. The next hour, two hours, is some human being going in and fixing it, so that feels like the big opportunity to reduce, so hopefully we can talk a little bit about different ways that one can do that. >> What about Day-2 Ops? Just tell me about how you define that. >> So I basically define it as once the software goes into a production, just making sure things stay up and are healthy and you're resilient and you don't get errors and all of those sorts of things because everything breaks sooner or later, you know, to a greater or lesser degree. >> Especially that SRE you're talking about, right? >> Yeah. >> So let's go back to that scenario. Yeah, you pity the poor soul because they do have to be a little expert in everything. >> Exactly. >> And that's really challenging and we all know that, that's really hard. So how do you go about trying to lighten that burden, then? >> So when you look at the numbers, about somewhere between 40% to even 95% of the alarms that fire, the alerts that fire, are false positives and that's crazy. Why is someone waking up just to deal with? >> It's a lot of wasted time, isn't it? >> A lot of wasted time. And you know, you're also training someone into what I call ClickOps, just to go in and click the button and resolve it and you don't actually know if it was the false positive or it's the rare real positive, and so that's a challenge, right? And so the first thing to do is to figure out where the false positives are. Like, let's say Datadog tells you that CPU is high and alarms. Is that a good thing or a bad thing? It's hard for them to tell, right? But you have to then introspect it into something precise like, oh, CPU is high, but response times are standard and the request rate is high. Okay, that's a good thing. I'm going to ignore this. Or CPU is high, but it kind of resolves itself, so I'm going to not wake anybody up. Or CPU is high and oh, it's the darn JVM starting to garbage collect again, so let me go and take a heap dump and give that to my dev team and then bounce the JVM and you know, without waking anybody up, or CPU is high, I have no idea what's going on. Now it's time to wake somebody up. You know, what you want to use humans for is the ability to think about novel stuff, not to do repetitive stuff, so that's the first step. The second step is, about 40% of what remains is repetitive and straightforward. So like a disk is full, I'd better clean up the garbage on the disk or maybe grow the disk. People shouldn't wake up to deal to grow a disk. And so for that, what you want to do is just have those sorts of things get automated away. One of the nice things about Shoreline is, is that we take the experience in what we build for one company, and if they're willing, provide it to everybody else. Our belief is, a central tenant is, if someone somewhere fixes something, everyone everywhere should gain the benefit because we all sit on the same three clouds, we all sit on the same set of database infrastructure, et cetera. We should all get the same benefits. Why do we have to scar our own backs rather than benefiting from somebody else's scar tissue, so that's the second thing. The third thing is, okay, let's say it's not straightforward, not something I've seen before, then in that case, what often happens is on average like eight people get involved. You know, it initially goes to L1 support or L1 ops and, but they don't necessarily know because, as you say, the environment's complex. And so, you know, they go into Slack and they say, "At here, can somebody help me with this?" And those things take a much longer time, so wouldn't it be better that if your best SRE is able to say, "Hey, check these 20 things and then run these actions." We could convert that into like a Jupyter Notebook where you could say the incident got fired I pre-populated all the diagnostics, and then I tell people very precisely, "If you see this, run this, et cetera." Like a wiki, but actually something you could run right in this product. And then, you know, last piece of the puzzle, the smaller piece, is sometimes new things happen and when something new happens, what you want is sort of the central tech of Shoreline, which is parallel distributed, real-time debugging. And so the ability to do, you know, execute a command across your fleet rather than individual boxes so that you can say something like, "I'm hearing that my credit card app is slow. For everything tagged as being part of my credit card app, please run for everything that's running over 90% CPU, please run a top command." And so, you know, then you can run in the same time on one host as you can on 30,000 and that helps a lot. So that's the core of what we do. People use us for all sorts of things, also preventative maintenance, you know, just the proactive regular things. You know, like your car, you do an oil change, well, you know, you need to rotate your certs, certificates. You need to make sure that, you know, there isn't drift in your configurations, there isn't drift in your software. There's also security elements to it, right? You want to make sure that you aren't getting weird inbound/outbound traffic across to ports you don't expect to be open. You don't want to have these processes running, you know, maybe something's bad. And so that's all the kind of weird anomaly detection that's easy to do if you run things in a distributed parallel way across everything. That's super hard to do if you have to go and Whac-A-Mole across one box after the next. >> Well, which leads to a question just in terms of setting priorities then, which is what you're talking about helping companies establish priorities, this hierarchy of level one warning, level two, level three, level four. Sounds like that should be a basic, right? But you're saying that's not, that's not really happening in the enterprise. >> Well, you know, I would say that if you hadn't automated deployments, you should do that first. If you haven't automated your testing pipeline, shame on you, you should do that like a year ago. But now it's time to help people in production because you've done that other work and people are suffering. You know, the crazy thing about the cloud is, is that companies spend about three times more on the human beings to operate their cloud infrastructure as on the cloud infrastructure itself. I've yet to hear anybody say that their cloud bill is too low, you know, so, you know, there's a clearer savings also available. And you know, back when I was at AWS, obviously I had to keep the lights on too, but you know, I had to do that, but it's kind of a tax on my engineers and I'd really spend, prefer to spend the head count on innovation, on doing things that delight my customers. You never delight your customers by keeping the lights on, you just avoid irritating them by turning 'em off, right? >> So why are companies so fixed in on spending so much time on manually repairing things and not looking for these kinds of little, much more elegant solution and cost-efficient, time-saving, so on so forth. >> Yeah, I think there just hasn't been very much in this space as yet because it's a hard, hard problem to solve. You know, automation's a little bit scary and that's the reality of it and the way you make it less scary is by proving it out, by doing the simple things first, like reducing the alert fatigue, you know, that's easy. You know, providing notebooks to people so that they can click things and do things in a straightforward way. That's pretty easy. The full automation, that's kind of the North Star, that's what we aspire to do. But you know, people get there over time and one of our customers had 700 instances of this particular incident solved for them last week. You imagine how many human beings would've been doing it otherwise, you know? >> Right. >> That's just one thing, you know? >> How many did it take the build a pyramid? How many decades did that take, right? You had an announcement this week. I don't think we've talked about that. >> No, yeah, so we just announced Incident Insights, which is a free product that lets people plug into initially PagerDuty and pretty soon the Opsgenie ServiceNow, et cetera. And what you can do is, is you give us an API key read-only and we will suck your PagerDuty data out. We apply some lightweight ML unsupervised learning, and in a couple of minutes, we categorize all of your incidents so that you can understand which are the ones that happen most often and are getting resolved really quickly. That's ClickOps, right? Those alarms shouldn't fire. Which are the ones that involve a lot of people? Those are good candidates to build a notebook. Which are the ones that happen again and again and again? Those are good candidates for automation. And so, I think one of the challenges people have is, is that they don't actually know what their teams are doing and so this is intended to provide them that visibility. One of our very first customers was doing the beta test for us on it. He used to tell us he had about 100 tickets, incidents a week. You know, he brought this tool in and he had 2,100 last week and was all, you know, like these false alarms, so while he's giving us- >> That was eye opening for him to see that, sure. >> And why he's, you know, looking at it, you know, he's just like filing Jiras to say, "Oh, change this threshold, cancel this alarm forever." You know, all of that kind of stuff. Before you get to do the fancy work, you got to clean your room before you get to do anything else, right? >> Right, right, dinner before dessert, basically. >> There you go. >> Hey, thanks for the insights on this and again the name of the new product, by the way, is... >> Incident Insights. >> Incident Insights. >> Totally free. >> Free. >> Yeah, it takes a couple of minutes to set up. Go to the website, Shoreline.io/insight and you can be up and running in a couple of minutes. >> Outstanding, again, the company is Shoreline. This is Anurag Gupta, and thank you for being with us. We appreciate it. >> Appreciate it, thank you. >> Glad to have to here on theCUBE. Back with more from AWA re:Invent 22. You're watching theCUBE, the leader in high-tech coverage. (gentle music)

well hello everybody John Wallace here on thecube he's continuing our segments here on the AWS Global startup showcase we are at day three of Reinventing irking Zhang is joining us now he is the CEO co-founder of Jupiter one um first off before we get going talking about you know security and big world for you guys I know what's your take on the show what's been going on out here at re invent yeah yeah ring event has been one of my favorite shows there's a lot of people here there's a lot of topics of course it's not just cyber security a lot of cloud infrastructure and just technology in general so you get a lot you know if you go walk the floor you see a lot of vendors you look at us go into sessions you can learn a lot but you're the Hot Topic right everybody's focused on Cyber yeah big time and with good reason right because as we know the Bad actors are getting even smarter and even faster and even more Nimble so just paint the landscape for me here in general right now as you see uh security Cloud Security in particular and and kind of where we are in that battle well we are clearly not winning so I think that in itself is a bit of a uh interesting problem right so as a it's not just Cloud security if you think about cyber security in general as an industry it has it has not been around for that long right but if you just look at the history of it uh we haven't done that while so uh pick another industry say medicine which has been around forever and if you look at the history of Medicine well I would argue you has done tremendously well because people live longer right when you get sick you get access to health care and yeah exactly you have Solutions and and you can see the trend even though there are problems in healthcare of course right but the trend is is good it's going well but not in cyber security more breaches more attacks more attackers we don't know what the hell we're doing with that many solutions and you know that's been one of my struggles as a former CSO and security practitioner for many years you know why is it that we're not getting better all right so I'm going to ask you the question yeah okay why aren't we getting better you know how come we can't stay ahead of the curve on this thing that for some reason it's like whack-a-mole times a hundred every time we think we solve one problem we have a hundred more that show up over here exactly and we have to address that and and our attention keeps floating around yeah I think you said it right so because we're taking this guacamole approach and we're looking for the painkiller of the day and you know we're looking for uh the Band-Aids right so and then we ended up well I I think to be fair to be fair to your industry the industry moves so quickly technology in general moves so quickly and security has been playing catch-up over time we're still playing catch-up so when you're playing catch-up you you can almost only uh look at you know what's the painkiller of what's the band name of the day so I can stop the bleeding right but I do think that we're we're to a point or we have enough painkillers and Band-Aids and and we need to start looking at how can we do better fundamentally with the basics and do the basics well because a lot of times the basics that get you into trouble so fundamentally the foundation I if I hear you right what you're saying is um you know quick changing industry right things are moving rapidly but we're not blocking and tackling we're not doing the X's and O's and so forget changing and we we got to get back to the basis and do those things right exactly you can only seem so simple it seems so simple but it's so hard right so you can you can think about you know uh even in case of building a starter building a company and and in order at one point right so we're blocking uh blocking tackling and then when we grow to a certain size we have to scale we have to figure out how to scale the business this is the same problem that happens in security as an industry we've been blocking happening for so long you know we're the industry is so young but we're to a point that we got to figure out how to scale this scale this in a fundamentally different way and I'll give you some example right so so what when we say the basics now it's easy to to think that say users should have MFA enabled is one of the basics right or another Basics will be you have endpoint protection on your devices you know maybe it's Cloud strike or Sentinel one or carbon black or whatever but the question being how do you know it is working 100 of the time right how do you know that how do you know right you find out too exactly that's right and how do you know that you have 100 coverage on your endpoints those Solutions are not going to tell you because they don't know what they don't know right if it's not enabled if it's not you know what what's the negative that you are not seeing so that's one of the things that you know that's in the basic state that you're now covering so the fundamentals it really goes to these five questions that I think that nobody has a really good answer for until now so the five questions goes what do I have right is it important what's important out of all the things I have you have a lot right you could have millions of things what important now for those that are important does it have a problem and if it has a problem who can fix it because the reality is in most cases security teams are not the ones fixing the problems they're they're the ones identical they're very good at recognizing but not so good exactly identifying the owner who can fix it right right could be could be business owner could be Engineers so the the asset ownership identification right so so these four questions and and then over time you know whether it's over a week or a month or a quarter or a year am I getting better right and then you just keep asking these questions in different areas in different domains with a different lens right so maybe that's endpoints maybe that's Cloud maybe that's you know users maybe that's a product and applications right but it really boils down to these five questions that's the foundation for any good security program if you can do that well I think we cover a lot of bases and we're going to be in much better shape than we have been all right so where do you come in man Jupiter one in terms of what you're providing because obviously you've identified this kind of pyramid yes this hierarchy of addressing needs and I assume obviously knowing you as I do and knowing the company as I do you've got Solutions that's exactly right right and and we precisely answer those five questions right for uh any organization uh from a asset perspective right because all the the answers to all those these five questions are based in assets it starts with knowing what I have right right so the the overall challenge of cyber security being broke broken I I believe is fundamentally that people do not understand and cannot uh probably deal with the complexity that we have within our own environments so again like you know using uh medicine as an example right so in order to come up with the right medicine for either it's a vaccine for covid-19 or whether it is a treatment for cancer or whatever that case may be you have to start with the foundations of understanding both the pathogen and to the human body like DNA sequencing right without those you cannot effectively produce the right medicine in modern uh you know Medicine sure right so that is the same thing that's happening in cyber security you know we spend a lot of times you know putting band days in patches right and then we spend a lot of time doing attacker research from the outside but we don't fundamentally understand in a complete way what's the complexity within our own environment in terms of digital assets and that's that's almost like the DNA of your own work what is that kind of mind-blowing in a way that if again hearing you what you're talking about is saying that the first step is to identify what you have that's right so it seems just so basic that that I should know what I what's under my hood I should know what is valuable and what is not I should prioritize what I really need to protect and what maybe can go on the second shelf yeah it has been a tough problem since the beginning of I.T not just the beginning of cyber security right so in the history of I.T we have this thing called cmdb configuration management database it is supposed to capture the configurations of it assets now over time that has become a lot more complex and and there's a lot more than just it asset that we have to understand from a security and attack service perspective right so we have to understand I.T environments we have to understand Cloud environments and applications and users and access and data and as and all of those things then then we have to take a different approach of sort of a modern cmdb right so what is the way that we can understand all of those complexity within all of those assets but not just independently within those silos but rather in a connected way so we can not only understand the attack surface but only but also understand the attack path that connect the dots from one thing to another right because everything in the organization is actually connected if if there's any one thing that sits on an island right so if you say you have a a a a server or a device or a user that is on an island that is not connected to the rest of the organization then why have it right and it doesn't matter so it's the understanding of that connect connected tissue this entire map where this you know DNA sequencing equivalent of a digital organization is what Jupiter one provides right so that visibility of the fundamental you know very granular uh level of assets and resources to answer those five questions and how does that how do I get better at that then I mean I have you to help me but but internally within our organization um I mean I don't want to be rude but I mean do I have do I have the skill for that do I have um do I have the the internal horsepower for that or or is there some need to close that Gap and how do I do it you know I'll tell you two things right so so one you mentioned the worst skills right so let me start there so because this one is very interesting we also have a huge skills shortage in cyber security we will we've all heard that for years and and and and for a long time but if you dig deeper into it why is that why is that and you know we have a lot of you know talented people right so why do we still have a skills shortage now what's interesting is if you think about what we're asking security people to do is mind-boggling so if you if you get a security analyst to say hey I want to understand how to protect something or or how to deal with an incident and what you're asking the person to do is not only to understand the security concept and be a domain expert in security you're also asking the person to and understand at the same time AWS or other clouds or endpoints or code or applications so that you can properly do the analysis and the in the response it's it's impossible it's like you know if you have you have to have a person who's an expert in everything know everything about everything that's right it's impossible so so so that's that's one thing that we have to to resolve is how do we use technology like Jupiter one to provide an abstraction so that there's Automation in place to help the security teams be better at their jobs without having to be an expert in deep technology right just add the abstract level of understanding because you know we can we can model the data and and provide the analysis and visual visualization out of the box for them so they can focus on just the security practices so that's one and the second thing is we have to change the mindset like take vulnerability management as an example right so the mindset for vulnerability management has been how do I manage findings now we have to change it to the concept of more proactive and how to manage assets so let's think about uh you know say log4j right that that happened and uh you know when it happened everybody scrambles and said hey which which devices or which you know uh systems have log4j and you know it doesn't matter what's the impact we can fix it right going back to those questions that that I mentioned before right and then um and then they try to look for a solution at a time say well where's that silver bullet that can give me the answers now what what what we struggle with though is that you know I want to maybe ask the question where were you six months ago where were you six months ago where you could have done the due diligence and put something in place that help you understand all of these assets and connections so you can go to one place and just ask for that question when something like that you know hit the fan so so if we do not fundamentally change the mindset to say I have to look at things not from a reactive findings perspective but really starting from an asset-centric you know day one perspective to look at that and have this Foundation have this map build we can't get there right so it's like you know if I need direction I go to Google Maps right but the the reason that it works is because somebody has done the work of creating the map right right if you haven't if you don't have the map and you just at you know when the time you say I gotta go somewhere and you expect the map to magically happen to show you the direction it's not going to work right right I imagine there are a lot of people out there right now are listening to thinking oh boy you know and that's what Jupiter one's all about they're there to answer your oh boy thanks for the time of course I appreciate the insights as well it's nice to know that uh at least somebody is reminding us to keep the front door locked too that's just the back door the side doors keep that front door and that garage locked up too definitely um all right we'll continue our coverage here at AWS re invent 22 this is part of the AWS Global startup showcase and you're watching the cube the leader in high-tech coverage foreign

>>Well, hello everybody. John Walls here and continuing our coverage here at AWS Reinvent 22 on the queue. We continue our segments here in the Global Startup program, which of course is sponsored by AWS Startup Showcase, and with us to talk about any scale as the co-founder and CEO of the company, Robert and n, you are Robert. Good to see you. Thanks for joining us. >>Yeah, great. And thank you. >>You bet. Yeah. Glad to have you aboard here. So let's talk about Annie Scale, first off, for those at home and might not be familiar with what you do. Yeah. Because you've only been around for a short period of time, you're telling me >>Company's about >>Three years now. Three >>Years old, >>Yeah. Yeah. So tell us all about it. Yeah, >>Absolutely. So one of the biggest things happening in computing right now is the proliferation of ai. AI is just spreading throughout every industry has the potential to transform every industry. But the thing about doing AI is that it's incredibly computationally intensive. So if you wanna do do ai, you're not, you're probably not just doing it on your laptop, you're doing it across many machines, many gpu, many compute resources, and that's incredibly hard to do. It requires a lot of software engineering expertise, a lot of infrastructure expertise, a lot of cloud computing expertise to build the software infrastructure and distributed systems to really scale AI across all of the, across the cloud. And to do it in a way where you're really getting value out of ai. And so that is the, the problem statement that AI has tremendous potential. It's incredibly hard to do because of the, the scale required. >>And what we are building at any scale is really trying to make that easy. So trying to get to the point where, as a developer, if you know how to program on your laptop, then if you know how to program saying Python on your laptop, then that's enough, right? Then you can do ai, you can get value out of it, you can scale it, you can build the kinds of, you know, incredibly powerful applica AI applications that companies like Google and, and Facebook and others can build. But you don't have to learn about all of the distributed systems and infrastructure. It just, you know, we'll handle that for you. So that's, if we're successful, you know, that's what we're trying to achieve here. >>Yeah. What, what makes AI so hard to work with? I mean, you talk about the complexity. Yeah. A lot of moving parts. I mean, literally moving parts, but, but what is it in, in your mind that, that gets people's eyes spinning a little bit when they, they look at great potential. Yeah. But also they look at the downside of maybe having to work your way through Pike mere of sorts. >>So, so the potential is definitely there, but it's important to remember that a lot of AI initiatives fail. Like a lot of initiative AI initiatives, something like 80 or 90% don't make it out of, you know, the research or prototyping phase and inter production. Hmm. So, some of the things that are hard about AI and the reasons that AI initiatives can fail, one is the scale required, you know, moving. It's one thing to develop something on your laptop, it's another thing to run it across thousands of machines. So that's scale, right? Another is the transition from development and prototyping to production. Those are very different, have very different requirements. Absolutely. A lot of times it's different teams within a company. They have different tech stacks, different software they're using. You know, we hear companies say that when they move from develop, you know, once they prototype and develop a model, it could take six to 12 weeks to get that model in production. >>And that often involves rewriting a lot of code and handing it off to another team. So the transition from development to production is, is a big challenge. So the scale, the development to production handoff. And then lastly, a big challenge is around flexibility. So AI's a fast moving field, you see new developments, new algorithms, new models coming out all the time. And a lot of teams we work with, you know, they've, they've built infrastructure. They're using products out there to do ai, but they've found that it's sort of locking them into rigid workflows or specific tools, and they don't have the flexibility to adopt new algorithms or new strategies or approaches as they're being developed as they come out. And so they, but their developers want the flexibility to use the latest tools, the latest strategies. And so those are some of the main problems we see. It's really like, how do you scale scalability? How do you move easily from development and production and back? And how do you remain flexible? How do you adapt and, and use the best tools that are coming out? And so those are, yeah, just those are and often reasons that people start to use Ray, which is our open source project in any scale, which is our, our product. So tell >>Me about Ray, right? Yeah. Opensource project. I think you said you worked on it >>At Berkeley. That's right. Yeah. So before this company, I did a PhD in machine learning at Berkeley. And one of the challenges that we were running into ourselves, we were trying to do machine learning. We actually weren't infrastructure or distributed systems people, but we found ourselves in order to do machine learning, we found ourselves building all sorts of tools, ad hoc tools and systems to scale the machine learning, to be able to run it in a reasonable amount of time and to be able to leverage the compute that we needed. And it wasn't just us people all across, you know, machine learning researchers, machine learning practitioners were building their own tooling and infrastructure. And that was one of the things that we felt was really holding back progress. And so that's how we slowly and kind of gradually got into saying, Hey, we could build better tools here. >>We could build, we could try to make this easier to do so that all of these people don't have to build their own infrastructure. They can focus on the actual machine learning applications that they're trying to build. And so we started, Ray started this open source project for basically scaling Python applications and scaling machine learning applications. And, well, initially we were running around Berkeley trying to get all of our friends to try it out and, and adopt it and, you know, and give us feedback. And if it didn't work, we would debug it right away. And that slow, you know, that gradually turned into more companies starting to adopt it, bigger teams starting to adopt it, external contributors starting to, to contribute back to the open source project and make it better. And, you know, before you know it, we were hosting meetups, giving to talks, running tutorials, and the project was just taking off. And so that's a big part of what we continue to develop today at any scale, is like really fostering this open source community, growing the open source user base, making sure Ray is just the best way to scale Python applications and, and machine learning applications. >>So, so this was a graduate school project That's right. You say on, on your way to getting your doctorate and now you commercializing now, right? Yeah. I mean, so you're being able to offer it, first off, what a journey that was, right? I mean, who would've thought Absolutely. I guess you probably did think that at some point, but >>No, you know, when we started, when we were working on Ray, we actually didn't anticipate becoming a company, or we at least just weren't looking that far ahead. We were really excited about solving this problem of making distributed computing easy, you know, getting to the point where developers just don't have to learn about infrastructure and distributed systems, but get all the benefits. And of course, it wasn't until, you know, later on as we were graduating from Berkeley and we wanted to continue really taking this project further and, and really solving this problem that it, we realized it made sense to start a company. >>So help me out, like, like what, what, and I might have missed this, so I apologize if I did, but in terms of, of Ray's that building block and essential for your, your ML or AI work down the road, you know, what, what is it doing for me or what, what will it allow me to do in either one of those realms that I, I can't do now? >>Yeah. And so, so like why use Ray versus not using Ray? Yeah, I think the, the answer is that you, you know, if you're doing ai, you need to scale. It's becoming, if you don't find that to be the case today, you probably will tomorrow, you know, or the day after that. And so it's really increasingly, it's a requirement. It's not an option. And so if you're scaling, if you're trying to build these scalable applications you are building, you're either going to use Ray or, or something like Ray or you're going to build the infrastructure yourself and building the infrastructure yourself, that's a long journey. >>So why take that on, right? >>And many of the companies we work with don't want to be in the business of building and managing infrastructure. No. Because, you know, if they, they want their their best engineers to build their product, right? To, to get their product to market faster. >>I want, I want you to do that for me. >>Right? Exactly. And so, you know, we can really accelerate what these teams can do and, you know, and if we can make the infrastructure something they just don't have to think about, that's, that's why you would choose to use Ray. >>Okay. You know, between a and I and ml are, are they different animals in terms of what you're trying to get done or what Ray can do? >>Yeah, and actually I should say like, it's not just, you know, teams that are new teams that are starting out, that are using Ray, many companies that have built, already built their own infrastructure will then switch to using Ray. And to give you a few examples, like Uber runs all their deep learning on Ray, okay. And, you know, open ai, which is really at the frontier of training large models and, and you know, pushing the boundaries of, of ai, they train their largest models using Ray. You know, companies like Shopify rebuilt their entire machine learning platform using Ray, >>But they started somewhere else. >>They had, this is all, you know, like, it's not like the v1, you know, of their, of their machine learning infrastructure. This is like, they did it a different way before, this is like the second version or the third iteration of of, of how they're doing it. And they realize often it's because, you know, I mean in the case of, of Uber, just to give you one example, they built a system called hova for scaling deep learning on a bunch of GPUs. Right Now, as you scale deep learning on GPUs for them, the bottleneck shifted away from, you know, as you scale GPU's training, the bottleneck shifted away from training and to the data ingest and pre-processing. And they wanted to scale data ingest and pre-processing on CPUs. So now Hova, it's a deep learning framework. It doesn't do the data ingest and pre-processing on CPUs, but you can, if you run Hova on top of Ray, you can scale training on GPUs. >>And then Ray has another library called Ray Data you can, that lets you scale the ingest and pre-processing on CPUs. You can pipeline them together. And that allowed them to train larger models on more data before, just to take one example, ETA prediction, if you get in an Uber, it tells you what time you're supposed to arrive. Sure. That uses a deep learning model called d eta. And before they were able to train on about two weeks worth of data. Now, you know, using Ray and for scaling the data, ingestive pre-processing and training, they can train on much more data. You know, you can get more accurate ETA predictions. So that's just one example of the kind of benefit they were able to get. Right. Also, because it's running on top of, of Ray and Ray has this ecosystem of libraries, you know, they can also use Ray's hyper parameter tuning library to do hyper parameter tuning for their deep learning models. >>They can also use it for inference and you know, because these are all built on top of Ray, they inherit the like, elasticity and fault tolerance of running on top of Ray. So really it simplifies things on the infrastructure side cuz there's just, if you have Ray as common infrastructure for your machine learning workloads, there's just one system to, to kind of manage and operate. And if you are, it simplifies things for the end users like the developers because from their perspective, they're just writing a Python application. They don't have to learn how to use three different distributed systems and stitch them together and all of this. >>So aws, before I let you go, how do they come into play here for you? I mean, are you part of the showcase, a startup showcase? So obviously a major partner and major figure in the offering that you're presenting >>People? Yeah, well you can run. So any scale is a managed ray service. Like any scale is just the best way to run Ray and deploy Ray. And we run on top of aws. So many of our customers are, you know, using Ray through any scale on aws. And so we work very closely together and, and you know, we have, we have joint customers and basically, and you know, a lot of the value that any scale is adding on top of Ray is around the production story. So basically, you know, things like high availability, things like failure handling, retry alerting, persistence, reproducibility, these are a lot of the value, the values of, you know, the value that our platform adds on top of the open source project. A lot of stuff as well around collaboration, you know, imagine you are, you, something goes wrong with your application, your production job, you want to debug it, you can just share the URL with your, your coworker. They can click a button, reproduce the exact same thing, look at the same logs, you know, and, and, and figure out what's going on. And also a lot around, one thing that's, that's important for a lot of our customers is efficiency around cost. And so we >>Support every customer. >>Exactly. A lot of people are spending a lot of money on, on aws. Yeah. Right? And so any scale supports running out of the box on cheaper like spot instances, these preempt instances, which, you know, just reduce costs by quite a bit. And so things like that. >>Well, the company is any scale and you're on the show floor, right? So if you're having a chance to watch this during reinvent, go down and check 'em out. Robert Ashihara joining us here, the co-founder and ceo and Robert, thanks for being with us. Yeah. Here on the cube. Really enjoyed it. Me too. Thanks so much. Boy, three years graduate program and boom, here you are, you know, with off to the enterprise you go. Very nicely done. All right, we're gonna continue our coverage here on the Cube with more here from Las Vegas. We're the Venetian, we're AWS Reinvent 22 and you're watching the Cube, the leader in high tech coverage.

>>Good afternoon everybody. I'm John Walls and welcome back to our coverage here on the cube of AWS Reinvent 22. We are bringing you another segment with the Global Startup Program, which is part of the AWS Start Showcase, and it's a pleasure to welcome two new guests here to the showcase. First, immediately to my right Han w lre. Good to see you Han. Good to see you. The leader of the Enterprise Solutions Architecture at aws. And on the far right, Rolin Lee, who is the co-founder and CEO of Heim Doll Data. Roland, good to see you. Great >>To be here. >>All right, good. Thanks for joining us. Well first off, for those at home, I may not be familiar with Heim Doll. What do you do? Why are you here? But I'll let you take it from there. >>Well, we're one of the sponsors here at AWS and great to be here. We offer a data access layer in the form of a proxy, and what it does is it provides complete visibility and the capability to enhance the interaction between the application and one's current database. And as a result, you'll, the customer will improve database scale, database security and availability. And all these features don't require any application changes. So that's sort of our marketing pitch, if you will, all these types of features to improve the experience of managing a database without any application >>Changes. And, and where's the cloud come into play then, for you then, where, where did it come into play for you? >>So we started out actually helping out customers on premise, and a lot of enterprise customers are moving over to the cloud, and it was just a natural progression to do that. And so aws, which is a key part of ours, partners with us to help solve customer problems, especially on the database side, as the application being application performance tends to have issues between the interaction between the application database and we're solving that issue. >>Right. Sohan, I mean, Roan just touched on it about OnPrem, right? There's still some kickers and screamers out there that, that don't, haven't bought in or, or they're about to, but you're about to get 'em. I, I'm sure. But talk about that, that conversion or that transition, if you would, from going OnPrem into a hybrid environment or to into the, the bigger cloud environment and and how difficult that is sometimes. Yes. Maybe to get people to, to make that kind of a leap. >>Well, I would say that a lot of customers are wanting to focus more on product innovation experimentation, and also in terms of having to manage servers and patching, you know, it's to take away from that initiative that they're trying to do. So with aws, we provide undifferentiated heavy lifting so that they can focus on product innovation. And one of the areas talking about Heim is that from the database side, we do provide Amazon rds, which is database and also Aurora, to give them that lift so they don't have to worry about patching servers and setting up provisioning servers as well. >>Right. So Roland, can you get the idea across to people very simply, let us take care of the, the hard stuff and, and that will free you up to do your product innovations, to do your experimentations to, to really free up your team, basically to do the fun stuff and, and let us sweat over the, the, the details basically. Right? >>Exactly. Our, our motto is not only why build when, when you can buy. So a lot of it has to do with offering the, the value in terms of price and the features such as it's gonna benefit a team. Large companies like amazon.com, Google, they have huge teams that can build data access layers and proxies. And what we're trying to do here is commercialize those cuz those are built in house and it's not readily available for customers to use. And you'd need some type of interface between the application and the database. And we provide that sort of why build when you can buy. >>Well, I was gonna say why h right? I mean what's your special sauce? Because everybody's got something, obviously a market differentiator that you're bringing into place here. So you started to touch on a little bit there for me, but, but dive a little deeper there. I mean, what, what is it that, that you're bringing to the table with AWS that you think puts you above the crowd? >>Well, lemme give you a use case here. In typical events like let's say Black Friday where there's a surge traffic that can overwhelm the database, the Heim doll data access layer database proxy provides an auto scaling distributed architecture such that it can absorb those surges and traffic and help scale the database while keeping the data fresh and up to date. And so basically traffic based on season time of day, we can, we can adjust automatically and all these types of features that we offer, most notably automated query caching, ReadWrite split for asset compliance don't require any code changes, which typically requires the application developer to make those changes. So we're saving months, maybe years of development and maintenance. >>Yeah, a lot of gray hairs too, right? Yeah, you're, you're solving a lot of problems there. What about database trends in just in general Hunt, if you will. I mean, this is your space, right? I mean, what we're hearing about from Heindel, you know, in terms of solutions they're providing, but what are you seeing just from the macro level in terms of what people are doing and thinking about the database and how it relates to the cloud? Right. >>And some of the things that we're seeing is that we're seeing an explosion of data, relevant data that customers need to be able to consume and also process as well. So with the explosion of data, there's also, we see customers trying to modernize their application as well through microservices, which does change the design patterns of like the applications we call the access data patterns as well. So again, going back to that, a differentiated heavy lifting, we do have something called purpose built databases, right? It's the right tool for the right purpose. And so it depends on what their like rpo, rto their access to data pattern. Is it a base, is it an acid? So we want to be able to provide them the options to build and also innovate. So with that, that's why we have the Amazon rds, the also the, we also have Redshift, we also have Aurora and et cetera. The Rediff is more of the BI side, but usually when you ingest the data, you have some level of processing to get more insight. So with that, that's why customers are moving more of towards the managed service so that they can give that lift and then focusing on that product and innovation. Yeah. >>Have we kind of caught up or are we catching up to this just the tsunami of data to begin with, right? Because I mean, that was it, you know, what, seven, eight years ago when, when that data became kind of, or becoming king and, and reams and reams and reams and all, you know, can't handle it, right? And, and are we now able to manage that process and manage that flow and get the right data into the right hands at the right time? We're doing better with that. >>I would say that it, it definitely has grown in size of the amount of data that we're ingesting. And so with the scalability and agility of the cloud, we're able to, I would say, adapt to the rapid changes and ingestions of the data. So, so that's why we have things like Aurora servers to have that or auto scale so they can do like MySQL or Postgres and then they can still, like what you know, I'm trying to do is basically don't have to co do like any code changes. It would be a data migration. They still use the same underlying database on also mechanisms, but here we're providing them at scale on the cloud. >>Yeah. Our proxies, they must have for all databases. I mean, is that, is that essential these days? >>Well, good question John. I would say yes. And this is often built in house, as I mentioned, for large companies, they do build some type of data access layer or proxy and, or some utilize some orm, some object relational map to do it. And what again, what we're trying to do is offer this, put this out into the market commercially speaking, such that it can be readily used for, for all the customers to use rather than building it from scratch all the time. >>You know what I didn't ask you was Roy, how does AWS come into play for you then? And, and as in the startup mode, the focus that they've had in startups in general, but in you in particular, I mean, talk about that partnership or that relationship and the value that you're extracting from that. >>The ad AWS partnership has been absolutely wonderful. The collaboration, they have one of the best managed service databases. The value that it that adds in terms of the durability, the manageability, what the Heim doll data does is it compliments Amazon rds, Amazon Redshift very well in the sense that we're not replacing the database. What we're doing is we are allowing the customer to get the most out of the managed service database, whether it be Redshift or Aurora Serverless, rds, all without code changes. And or the analogy that I would give John is a car, a race car may be very fast, but it takes a driver to get to those fast speeds. We're the driver, the Hyundai proxy provides that intelligence so that you can get the most out of that database engine. >>And, and Hfi would then touch on, first off AWS and the emphasis that you have put on startups and are obviously, you know, kind of putting your money where your mouth is, right? With, with the way you've encouraged and nurtured that environment. And they would be about Heim doll in general about where you see this going or what you would like to have, where you want to take this in the next say 12 months, 18 months. >>I think it's more of a better together story of how we can basically coil with our partners, right? And, and basically focusing on helping our customers drive that innovation and be collaboration. So as Heim, as a independent service vendor isv, most customers can leverage that through a marketplace where basically it integrates very nicely with aws. So that gives 'em that lift and it goes back to the undifferentiated heavy lifting on the Hein proxy side, if you will, because then you have this proxy in the middle where then it helps them with their SQL performance. And I've seen use cases where customers were, have some legacy system that they may not have time to modernize the application. So they use this as a lift to keep, keep going as they try to modernize. But also I've seen customers who use are trying to use it as a, a way to give that performance lift because they may have a third party software that they cannot change the code by putting this in there that helps optimize their lines of business or whatever that is, and maybe can be online store or whatever. So I would say it was a better together type of story. >>Yeah. Which is, there's gotta be a song in there somewhere. So peek around the corner and if you wanna be headlights here right now in terms of 12, 18 months, I mean, what, you know, what what next to solve, right? You've already taken, you've slayed a few dragons along the way, but there are others I'm sure is it always happens in innovation in this space. Just when you solve a problem you've just dealt or you have to deal with others that pop up as maybe unintended consequences or at least a new challenge. So what would that be in your world right now? What, what do you see, you know, occupying your sleepless nights here for the next year or so? >>Well, for, for HOMEDALE data, it's all about improving database performance and scale. And those workloads change. We have O ltp, we have OLA with artificial intelligence ml. There's different type of traffic profiles and we're focused on improving those data profiles. It could be unstructured structured. Right now we're focused on structured data, which is relational databases, but there's a lot of opportunity to improve the performance of data. >>Well, you're driving the car, you got a good navigator. I think the GPS is working. So keep up the good work and thank you for sharing the time today. Thank you. Thank you, joy. Do appreciate it. All right, you are watching the cube. We continue our coverage here from AWS Reinvent 22, the Cube, of course, the leader in high tech coverage.

>> Well, welcome back here to the Venetian. We're in Las Vegas. It is Wednesday, Day 2 of our coverage here of AWS re:Invent, 22. I'm your host, John Walls on theCUBE and it's a pleasure to welcome in two more guests as part of our AWS startup showcase, which is again part of the startup program globally at AWS. I've got Anant Verma, who is the Vice President of Engineering at Elation. Anant, good to see you, sir. >> Good to see you too. >> Good to be with us. And Haseeb Budhani, who is the CEO and co-founder of Rafay Systems. Good to see you, sir. >> Good to see you again. >> Thanks for having, yeah. A cuber, right? You've been on theCUBE? >> Once or twice. >> Many occasions. But a first timer here, as a matter of fact, glad to have you aboard. All right, tell us about Elation. First for those whom who might not be familiar with what you're up to these days, just give it a little 30,000 foot level. >> Sure, sure. So, yeah, Elation is a startup and a leader in the enterprise data intelligence space. That really includes a lot of different things including data search, data discovery, metadata management, data cataloging, data governance, data policy management, a lot of different things that companies want to do with the hoards of data that they have and Elation, our product is the answer to solve some of those problems. We've been doing pretty good. Elation is in running for about 10 years now. We are a series A startup now, we just raised around a few, a couple of months ago. We are already a hundred million plus in revenue. So. >> John: Not shabby. >> Yeah, it's a big benchmark for companies to, startup companies, to cross that milestone. So, yeah. >> And what's the relationship? I know Rafay and you have worked together, in fact, the two of you have, which I find interesting, you have a chance, you've been meeting on Zoom for a number of months, as many of us have it meeting here for the first time. But talk about that relationship with Rafay. >> Yeah, so I actually joined Elation in January and this is part of the move of Elation to a more cloud native solution. So, we have been running on AWS since last year and as part of making our solution more cloud native, we have been looking to containerize our services and run them on Kubernetes. So, that's the reason why I joined Elation in the first place to kind of make sure that this migration or move to a cloud native actually works out really well for us. This is a big move for the companies. A lot of companies that have done in the past, including, you know, Confluent or MongoDB, when they did that, they actually really reap great benefits out of that. So to do that, of course, you know, as we were looking at Kubernetes as a solution, I was personally more looking for a way to speed up things and get things out in production as fast as possible. And that's where I think, Janeb introduced us... >> That's right. >> Two of us. I think we share the same investor actually, so that's how we found each other. And yeah, it was a pretty simple decision in terms of, you know, getting the solution, figuring it out if it's useful for us and then of course, putting it out there. >> So you've hit the keyword, Kubernetes, right? And, so if you would to honestly jump in here, there are challenges, right? That you're trying to help them solve and you're working on the Kubernetes platform. So, you know, just talk about that and how that's influenced the work that the two of you are doing together. >> Absolutely. So, the business we're in is to help companies who adopt Kubernetes as an orchestration platform do it easier, faster. It's a simple story, right? Everybody is using Kubernetes, but it turns out that Kubernetes is actually not that easy to to operationalize, playing in a sandbox is one thing. Operationalizing this at a certain level of scale is not easy. Now, we have a lot of enterprise customers who are deploying their own applications on Kubernetes, and we've had many, many of them. But when it comes to a company like Elation, it's a more complicated problem set because they're taking a very complex application, their application, but then they're providing that as a service to their customers. So then we have a chain of customers we have to make happy. Anant's team, the platform organization, his internal customers who are the developers who are deploying applications, and then, the company has customers, we have to make sure that they get a good experience as they consume this application that happens to be running on Kubernetes. So that presented a really interesting challenge, right? How do we make this partnership successful? So I will say that, we've learned a lot from each other, right? And, end of the day, the goal is, my customer, Anant's specifically, right? He has to feel that, this investment, 'cause he has to pay us money, we would like to get paid. >> John: Sure. (John laughs) >> It reduces his internal expenditure because otherwise he'd have to do it himself. And most importantly, it's not the money part, it's that he can get to a certain goalpost significantly faster because the invention time for Kubernetes management, the platform that you have to build to run Kubernetes is a very complex exercise. It took us four and a half years to get here. You want to do that again, as a company, right? Why? Why do you want to do that? We, as Rafay, the way I think about what we deliver, yes, we sell a product, but to what end? The product is the what, the why, is that every enterprise, every ISV is building a Kubernetes platform in house. They shouldn't, they shouldn't need to. They should be able to consume that as a service. They consume the Kubernetes engine the EKS is Amazon's Kubernetes, they consume that as an engine. But the management layer was a gap in the market. How do I operationalize Kubernetes? And what we are doing is we're going to, you know, the Anant said. So the warden saying, "Hey you, your team is technical, you understand the problem set. Would you like to build it or would you rather consume this as a service so you can go faster?" And, resoundingly the answer is, I don't want to do this anymore. I wouldn't allow to buy. >> Well, you know, as Haseeb is saying, speed is again, when we started talking, it only took us like a couple of months to figure out if Rafay is the right solution for us. And so we ended up purchasing Rafay in April. We launched our product based on Rafay in Kubernetes, in EKS in August. >> August. >> So that's about four months. I've done some things like this before. It takes a couple of years just to sort of figure out, how do you really work with Kubernetes, right? In a production at a large scale. Right now, we are running about a 600 node cluster on Rafay and that's serving our customers. Like, one of the biggest thing that's actually happening on December 8th is we are running what we call a virtual hands on lab. >> A virtual? >> Hands on lab. >> Okay. >> For Elation. And they're probably going to be about 500 people is going to be attending it. It's like a webinar style. But what we do in that hands on lab is we will spin up an Elation instance for each attendee, right on the spot. Okay? Now, think about this enterprise software running and people just sign up for it and it's there for you, right on the spot. And that's the beauty of the software that we have been building. There's the beauty of the work that Rafay has helped us to do over the last few months. >> Okay. >> I think we need to charge them more money, I'm getting from this congregation. I'm going to go work on that. >> I'm going to let the two of you work that out later. All right. I don't want to get in the way of a big deal. But you mentioned that, we heard about it earlier that, it's you that would offer to your cert, to your clients, these services. I assume they have their different levels of tolerance and their different challenges, right? They've got their own complexities and their own organizational barriers. So how are you juggling that end of it? Because you're kind of learning as, well, not learning, but you're experiencing some of the thing. >> Right. Same things. And yet you've got this other client base that has a multitude of experiences that they're going through. >> Right. So I think, you know a lot of our customers, they are large enterprise companies. They got a whole bunch of data that they want work with us. So one of the thing that we have learned over the past few years is that we used to actually ship our software to the customers and then they would manage it for their privacy security reasons. But now, since we're running in the cloud, they're really happy about that because they don't need to juggle with the infrastructure and the software management and upgrades and things like that, we do it for them, right? And, that's the speed for them because now they are only interested in solving the problems with the data that they're working with. They don't need to deal with all these software management issues, right? So that frees our customers up to do the thing that they want to do. Of course it makes our job harder and I'm sure in turn it makes his job harder. >> We get a short end of the stick, for sure. >> That's why he is going to get more money. >> Exactly. >> Yeah, this is a great conversation. >> No, no, no. We'll talk about that. >> So, let's talk about the cloud then. How, in terms of being the platform where all this is happening and AWS, about your relationship with them as part of the startup program and what kind of value that brings to you, what does that do for you when you go out and are looking for work and what kind of cache that brings to you >> Talk about the AWS? >> Yes, sir. >> Okay. Well, so, the thing is really like of course AWS, a lot of programs in terms of making sure that as we move our customers into AWS, they can give us some, I wouldn't call it discount, but there's some credits that you can get as you move your workloads onto AWS. So that's a really great program. Our customers love it. They want us to do more things with AWS. It's a pretty seamless way for us to, as we were talking about or thinking about moving into the cloud, AWS was our number one choice and that's the only cloud that we are in, today. We're not going to go to any other place. >> That's it. >> Yeah. >> How would you characterize? I mean, we've already heard, from one side of the fence here, but. >> Absolutely. So for us, AWS is a make or break partner, frankly. As the EKS team knows very well, we support Azure's Kubernetes and Google's Kubernetes and the community Kubernetes as well. But the number of customers on our platform who are AWS native, either a hundred percent or a large percentage is, you know, that's the majority of our customer base. >> John: Yeah. >> And AWS has made it very easy for us in a variety of ways to make us successful and our customers successful. So Anant mentioned the credit program they have which is very useful 'cause we can, you know, readily kind of bring a customer to try things out and they can do that at no cost, right? So they can spin up infrastructure, play with things and AWS will cover the cost, as one example. So that's a really good thing. Beyond that, there are multiple programs at AWS, ISV accelerate, et cetera. That, you know, you got to over time, you kind of keep getting taller and taller. And you keep getting on bigger and bigger. And as you make progress, what I'm finding is that there's a great ecosystem of support that they provide us. They introduce us to customers, they help us, you know, think through architecture issues. We get access to their roadmap. We work very, very closely with the guest team, for example. Like the, the GM for Kubernetes at AWS is a gentleman named Barry Cooks who was my sponsor, right? So, we spend a lot of time together. In fact, right after this, I'm going to be spending time with him because look, they take us seriously as a partner. They spend time with us because end of the day, they understand that if they make their partners, in this case, Rafay successful, at the end of the day helps the customer, right? Anant's customer, my customer, their AWS customers, also. So they benefit because we are collectively helping them solve a problem faster. The goal of the cloud is to help people modernize, right? Reduce operational costs because data centers are expensive, right? But then if these complex solutions this is an enterprise product, Kubernetes, at the enterprise level is a complex problem. If we don't collectively work together to save the customer effort, essentially, right? Reduce their TCO for whatever it is they're doing, right? Then the cost of the cloud is too high. And AWS clearly understands and appreciates that and that's why they are going out of their air, frankly, to make us successful and make other companies successful in the startup program. >> Well. >> I would just add a couple of things there. Yeah, so, you know, cloud is not new. It's been there for a while. You know, people used to build things on their own. And so what AWS has really done is they have advanced technology enough where everything is really simple as just turning on a switch and using it, right? So, just a recent example, and I, by the way, I love managed services, right? So the reason is really because I don't need to put my own people to build and manage those things, right? So, if you want to use a search, they got the open search, if you want to use caching, they got elastic caching and stuff like that. So it's really simple and easy to just pick and choose which services you want to use and they're ready to be consumed right away. And that's the beautiful, and that that's how we can move really fast and get things done. >> Ease of use, right? Efficiency, saving money. It's a winning combination. Thanks for sharing this story, appreciate. Anant, Haseeb thanks for being with us. >> Yeah, thank you so much having us. >> We appreciate it. >> Thank you so much. >> You have been a part of the global startup program at AWS and startup showcase. Proud to feature this great collaboration. I'm John Walls. You're watching theCUBE, which is of course the leader in high tech coverage.

>>And welcome back to the Cube everyone. I'm John Walls to continue our coverage here of AWS Reinvent 22. We're part of the AWS Startup Showcase is the global startup program that AWS so proudly sponsors and with us to talk about what they're doing now in the AWS space. Shaun Knapps, the CEO of AS Send IO and Sean, good to have here with us. We appreciate >>It. Thanks for having me, >>John. Yeah, thanks for the time. First off, gotta show the t-shirt. You caught my attention. Big data is a cluster. I don't think you get a lot of argument from some folks, right? But it's your job to make some sense of it, is it not? Yeah. Tell us about a Send io. >>Sure. As Send IO is a data automation platform. What we do is connect a lot of the, the disparate parts of what data teams do when they create ETL and E o T data pipelines. And we use advanced levels of automation to make it easier and faster for them to build these complex systems and have their world be a little bit less of a, a cluster. >>All right. So let's get into automation a little bit then again, I, your definition of automation and how you're applying it to your business case. >>Absolutely. You know, what we see oftentimes is as spaces mature and evolve, the number of repetitive and repeatable tasks that actually become far less differentiating, but far more taxable if you will, right to the business, start to accumulate as those common patterns emerge. And, and, you know, as we see standardization around tech stacks, like on Amazon and on Snowflake and on data bricks, and as you see those patterns really start to, to formalize and standardize, it opens up the door to basically not have your team have to do all those things anymore and write code or perform the same actions that they used to always have to, and you can lean more on technology to properly automate and remove the, the monotony of those tasks and give your teams greater leverage. >>All right. So, so let's talk about at least maybe your, the journey, say in the past 18 months in terms of automation and, and what have you seen from a trend perspective and how are you trying to address that in order to, to meet that need? >>Yeah, I think the last 18 months have become, you know, really exciting as we've seen both that, you know, a very exciting boom and bust cycle that are driving a lot of other macro behaviors. You know, what we've seen over the last 18 months is far greater adoption of the, the standard, what we call the data planes, the, the architectures around snowflake and data bricks and, and Amazon. And what that's created as a result is the emergence of what I would call is the next problem. You know, as you start to solve that category of how >>You, that's it always works too, isn't >>It? Yeah, exactly. Always >>Works that >>This is the wonderful thing about technology is the job security. There's always the next problem to go solve. And that's what we see is, you know, as we we go into cloud, we get that infinite scale, infinite capacity, capacity, infinite flexibility. And you know, with these modern now data platforms, we get that infinite ability to store and process data incredibly quickly with incredible ease. And so what, what do most organizations do? You take a ton of new bodies, like all the people who wanted to do those like really cool things with data you're like, okay, now you can. And so you start throwing a lot more use cases, you start creating a lot more data products, you start doing a lot more things with data. And this is really where that third category starts to emerge, which is you get this data mess, not mesh, but the data mess. >>You get a cluster cluster, you get a cluster exactly where the complexity skyrockets. And as a result that that rapid innovation that, that you are all looking for and, and promised just comes to a screeching halt as you're just, just like trying to swim through molasses. And as a result, this is where that, that new awareness around automation starts really heightened. You know, we, we did a really interesting survey at the start of this year, did it as a blind survey, independent third party surveyed, 500 chief data officers, data scientists, data architects, and asked them a plethora of questions. But one of the questions we asked them was, do you currently or do you intend on investing in data automation to increase your team's productivity? And what was shocking, and I was very surprised by this, okay, what was shocking was only three and a half percent said they do today. Which is really interesting because it really hones in on this notion of automation is beyond what a lot of a think of, you know, tooling and enhancements today, only three and a half percent today had it, but 88.5% said they intend on making data automation investments in the next 12 months. And that stark contrast of how many people have a thing and how many people want that benefit of automation, right? I think it is incredibly critical as we look to 2023 and beyond. >>I mean, this seems like a no-brainer, does it not? I mean, know it is your business, of course you agree with me, but, but of course, of course what brilliant statement. But it is, it seems like, you know, the more you're, you're able to automate certain processes and then free up your resources and your dollars to be spent elsewhere and your, and your human capital, you know, to be invested elsewhere. That just seems to be a layup. I'm really, I'm very surprised by that three and a half percent figure >>I was too. I actually was expecting it to be higher. I was expecting five to 10%. Yeah. As there's other tools in the, the marketplace around ETL tools or orchestration tools that, that some would argue fit in the automation category. And I think the, what, what the market is telling us based on, on that research is that those themselves are, don't qualify as automation. That, that the market has a, a larger vision for automation. Something that is more metadata driven, more AI back, that takes us a greater leap and of leverage for the teams than than what the, the existing capabilities in the industry today can >>Afford. Okay. So if you got this big leap that you can make, but, but, but maybe, you know, should sites be set a little lower, are you, are you in danger of creating too much of an expectation or too much of a false hope? Because you know, I mean sometimes incremental increases are okay. I >>Agree. I I I think the, you know, I think you wanna do a little bit of both. I think you, you want to have a plan for, for reaching for the stars and you gotta be really pragmatic as well. Even inside of a a suni, we actually have a core value, which is build for 10 x plan for a hundred x and so know where you're going, right? But, but solve the problems that are right in front of you today as, as you get to that next scale. And I think the, the really important part for a lot of companies is how do you think about what that trajectory is and be really smart around where you choose to invest as you, one of the, the scenes that we have is last year's innovation is next year's anchor around your neck. And that's because we, we were in this very fortunately, so this really exciting, rapidly moving innovative space, but the thing that was your advantage not too long ago is everybody can move so quickly now becomes commonplace and a year or two later, if you don't jump on whatever that next innovation is that the industry start to standardize on, you're now on hook paying massive debt and, and paying, you know, you thought you had, you know, home mortgage debt and now you're paying the worst of credit card debt trying to pay that down and maintain your velocity. >>It's >>A whole different kind of fomo, right? I'm fair, miss, I'm gonna miss out. What am I missing out on? What the next big thing exactly been missing out >>On that? And so we encourage a lot of folks, you know, as you think about this as it pertains to automation too, is you solve for some of the problems right in front of you, but really make sure that you're, you're designing the right approach that as you stack on, you know, five times, 10 times as many people building data products and, and you, you're, you're your volume and library of, of data weaving throughout your, your business, make sure you're making those right investments. And that's one of the reasons why we do think automation is so important and, and really this, this next generation of automation, which is a, a metadata and AI back to level of automation that can just achieve and accomplish so much more than, than sort of traditional norms. >>Yeah. On that, like, as far as Dex Gen goes, what do you think is gonna be possible that cloud sets the stage for that maybe, you know, not too long ago seem really outta reach, like, like what's gonna give somebody to work on that 88% in there that's gonna make their spin come your way? >>Ah, good question. So I, I think there's a couple fold. I, you know, I think the, right now we see two things happening. You know, we see large movements going to the, the, the dominant data platforms today. And, and you know, frankly, one of the, the biggest challenges we see people having today is just how do you get data in which is insanity to me because that's not even the value extraction, that is the cost center piece of it. Just get data in so you can start to do something with it. And so I think that becomes a, a huge hurdle, but the access to new technologies, the ability to start to unify more of your data and, and in rapid fashion, I think is, is really important. I think as we start to, to invest more in this metadata backed layer that can connect that those notions of how do you ingest your data, how do you transform it, how do you orchestrate it, how do you observe it? One of the really compelling parts of this is metadata does become the new big data itself. And so to do these really advanced things to give these data teams greater levels of automation and leverage, we actually need cloud capabilities to process large volumes of not the data, but the metadata around the data itself to deliver on these really powerful capabilities. And so I think that's why the, this new world that we see of the, the developer platforms for modern data cloud applications actually benefit from being a cloud native application themselves. >>So before you take off, talk about the AWS relationship part of the startup showcase part of the growth program. And we've talked a lot about the cloud, what it's doing for your business, but let's just talk about again, how integral they have been to your success and, and likewise what you're thinking maybe you bring to their table too. Yeah, >>Well we bring a lot to the table. >>Absolutely. I had no doubt about that. >>I mean, honestly, it, working with with AWS has been truly fantastic. Yep. You know, I think, you know, as a, a startup that's really growing and expanding your footprint, having access to the resources in AWS to drive adoption, drive best practices, drive awareness is incredibly impactful. I think, you know, conversely too, the, the value that Ascend provides to the, the AWS ecosystem is tremendous leverage on onboarding and driving faster use cases, faster adoption of all the really great cool, exciting technologies that we get to hear about by bringing more advanced layers of automation to the existing product stack, we can make it easier for more people to build more powerful things faster and safely. Which I think is what most businesses at reinvent really are looking for. >>It's win-win, win-win. Yeah. That's for sure. Sean, thanks for the time. Thank you John. Good job on the t-shirt and keep up the good work. Thank you very much. I appreciate that. Sean Na, joining us here on the AWS startup program, part of their of the Startup Showcase. We are of course on the Cube, I'm John Walls. We're at the Venetian in Las Vegas, and the cube, as you well know, is the leader in high tech coverage.

>>And good afternoon. Welcome back here on the Cub as to continue our coverage at aws Reinvent 22, win the Venetian here in Las Vegas, day two, it's Wednesday. Thanks. Still rolling. Quite a along. We have another segment for you as part of the Global Startup program, which is under the AWS Startup Showcase. I'm joined now by Vink at Viera, who is the CEO and co-founder of R Set. And good to see you, >>Sir. Thanks for having me here. Yeah, >>No, a real pleasure. Looking forward to it. So first off, for some of, for yours who might not be familiar with Roxette, I know you've been on the cube a little bit, so you're, you're an alum, but, but why don't you set the stage a little bit for Rock set and you know, where you're engaged with in terms of, with aws? >>Definitely. Rock Set is a realtime analytics database that is built for the cloud. You know, we make realtime applications possible in the cloud. You know, realtime applications need high concurrency, low latency query processing data needs to be fresh, your analytic needs to be fast. And, you know, we built on aws and that's why we are here. We are very, very proud partners of aws. We are in the AWS Accelerate program, and also we are in the startup program of aws. We are strategic ISV partner. And so yeah, we make real time analytics possible without all the cost and complexity barriers that are usually associated with it. And very, very happy to be part of this movement from batch to real time that is happening in the world. >>Right. Which is certainly an exciting trend. Right. I know great news for you, you made news yesterday, had an announcement involved with the intel with aws, who wants to share some of that >>With us too? Definitely. So, you know, one, one question that I always ask people is like, you know, if you go perspective that I share is like, if you go ask a hundred people, do you want fast analytics on fresh data or slow analytics on stale data? You know, a hundred out of a hundred would say fast and fresh, right? Sure. So then the question is, why hasn't this happened already? Why is this still a new trend that is emerging as opposed to something that everybody's taking for granted? It really comes down to compute efficiency, right? I think, you know, at the end of the day, real time analytics was always in using, you know, technologies that are, let's say 10 years ago using let's say processors that were available 10 years ago to, you know, three cloud, you know, days. There was a lot of complexity barriers associated with realtime analytics and also a lot of cost and, and performance barriers associated with it. >>And so Rox said from the, you know, from the very beginning, has been obsessing about building the most compute efficient realtime database in the world. And, you know, AWS on one hand, you know, allows us to make a consumption based pricing model. So you only pay for what you use. Sure. And that shatters all the cost barriers. But in terms of computer efficiency, what we announced yesterday is the Intel's third generation Zon scalable processors, it's code named Intel Ice Lake. When we port it over Rock said to that architecture, taking advantage of some of the instructions sets that Intel has, we got an 84% performance boost, 84, 84, 84. >>It's, it's incredible, right? >>It's, it's an incredible charts, it's an incredible milestone. It reduces the barrier even more in terms of cost and, you know, and, and pushes the efficiency and sets a, a really new record for how efficient realtime, you know, data processing can be in the cloud. And, and it's very, very exciting news. And so we used to benchmark ourselves against some of our other, you know, realtime, you know, did up providers and we were already faster and now we've set a, a much, much higher bar for other people to follow. >>Yep. And, and so what is, or what was it about real time that, that, you know, was such a barrier because, and now you've got the speed of, of course, obviously, and maybe that's what it was, but I think cost is probably part of that too, right? That's all part of that equation. I mean, real time, so elusive. >>Yeah. So real time has this inherent pattern that your data never stops coming. And when your data never stops coming, and you can now actually do analytics on that. Now, initially people start with saying, oh, I just want a real time dashboard. And then very quickly they realize, well, the dashboard is actually in real time. I'm not gonna be staring at the 24 7. Can you tap on my shoulder when something is off, something needs to be looked at. So in which case you're constantly also asking the question, is everything okay? Is everything all right? Do I need to, is is that something that I need to be, you know, double clicking on and, and following up on? So essentially very quickly in real time analytics, what happens is your queries never stop. The questions that you're asking on your data never stops. And it's often a program asking the question to detect anomalies and things like that. >>And your data never stops coming. And so compute is running 24 7. If you look at traditional data warehouses and data lakes, they're not really optimized for these kinds of workloads. They're optimized to store massive volumes of data and in a storage efficient format. And when an analyst comes and asks a question to generate a report, you can spin up a whole bunch of compute, generate the report and tear it all down when you're done. Well, that is not compute running 24 7 to continuously, you know, you know, keep ingesting the data or continuously keep answering questions. So the compute efficiency that is needed is, is much, much, much higher. Right? And that is why, you know, Rox was born. So from the very beginning, we're only built, you know, for these use cases, we have a, an extremely powerful SQL engine that can give you full feature SQL analytics in a very, very compute efficient way in the cloud. >>Right. So, so let's talk about the leap that you've made, say in the last two years and, and, and what's been the spur of that? What has been allowed you to, to create this, you know, obviously a, a different kind of an array for your customers from which to choose, but, but what's been the spark you think >>We touched upon this a little earlier, right? This spark is really, you know, the world going from batch to real time. So if you look at mainstream adoption of technologies like Apache, Kafka and Confluent doing a really good job at that. In, in, in growing that community and, and use cases, now businesses are now acquiring business data, really important business data in real time. Now they want to operationalize it, right? So, you know, extract based static reports and bi you know, business intelligence is getting replaced in all modern enterprises with what we call operational intelligence, right? Don't tell me what happened last quarter and how to plan this quarter better. Tell me what's happening today, what's happening right now. And it's, it's your business operations using data to make day to day decisions better that either grows your top line, compresses your bottom line, eliminates risk that are inherently creeping up in your business. >>Sure. You know, eliminate potential churn from a customer or fraud, you know, deduction and, and getting on top of, you know, that, you know, a minute into this, into, into an outage as opposed to an hour into the outage. Right? And so essentially I think businesses are now realizing that operational intelligence and operational analytics really, you know, allows them to leverage data and especially real time data to make their, you know, to grow their businesses faster and more efficiently. And especially in this kind of macro environment that is, you know, more important to have better unit economics in your business than ever before. Sure. And so that is really, I think that is the real market movement happening. And, and we are here to just serve that market. We are making it much, much easier for companies that have already adopted, you know, streaming technologies like Kafka and, and, and knows Canis MSK and all these technologies. Now businesses are acquiring these data in real time now. They can also get realtime analytics on the other end of it. Sure. >>You know, you just touched on this and, and I'd like to hear your thoughts about this, about, about the economic environment because it does drive decisions, right? And it does motivate people to look for efficiencies and maybe costs, you know, right. Cutting costs. What are you seeing right now in terms of that, that kind of looming influence, right? That the economy can have in terms of driving decisions about where investments are being made and what expectations are in terms of delivering value, more value for the buck? >>Exactly. I think we see across the board, all of our customers come back and tell us, we don't want to manage data infrastructure and we don't want to do kind of DIY open source clusters. We don't wanna manage and scale and build giant data ops and DevOps teams to manage that, because that is not really, you know, in their business. You know, we have car rental companies want to be better at car rentals, we want airlines to be a better airline, and they don't, don't want their, you know, a massive investment in DevOps and data ops, which is not really their core business. And they really want to leverage, you know, you know, fully managed and, you know, cloud offerings like Rock said, you know, built on aws, massively scalable in the cloud with zero operational overhead, very, very easy to get started and scale. >>And so that completely removes all the operational overhead. And so they can invest the resources they have, the manpower, they have, the calories that they have on actually growing their businesses because that is what really gonna allow them to have better unit economics, right? So everybody that is on my payroll is helping me grow my top line or shrink my bottom line, eliminate risk in my business and, and, and, and churn and, and fraud and other, and eliminate all those risks that are inherent in my business. So, so that is where I think a lot of the investments going. So gone are the days where, you know, you're gonna have these in like five to 10% team managing a very hard to operate, you know, open source data management clusters on EC two nodes in, in AWS and, and kind of DIYing it their way because those 10 people, you know, if all they do is just operational maintenance of infrastructure, which is a means to an end, you're way better off, you know, using a cloud, you know, a bond in the cloud built for the cloud solution like rock and eliminate all that cost and, and replace that with an operationally much, much simpler, you know, system to op, you know, to to work with such as, such as rock. >>So that is really the big trend that we are seeing why, you know, not only real time is going more and more mainstream cloud native solutions or the real future even when it comes to real time because the complexity barrier needs to be shattered and only cloud native solutions can actually, >>You get the two Cs cost and complexity, right. That you, you need to address. Exactly. Yeah, for sure. You know, what is it about building trust with your, with your clients, with your partners? Because you, you're talking about this cloud environment that, that everyone is talking about, right? Not everyone's made that commitment. There are still some foot draggers out there. How are you going about establishing confidence and establishing trust and, and, and providing them with really concrete examples of the values and the benefits that you can provide, you know, with, with these opportunities? >>So, you know, I grew up, so there's a few ways to to, to answer this question. I'll, I'll, I'll come, I'll cover all the angles. So in, in order to establish trust, you have to create value. They, you know, your customer has to see that with you. They were able to solve the problem faster, better, cheaper, and they're able to, you know, have a, the business impact they were looking for, which is why they started the project in the first place. And so establishing that and proving that, I think there's no equivalence to that. And, you know, I grew up at, at, you know, at Facebook back in the day, you know, I was managing online data infrastructure, okay. For Facebook from 2007 and 2015. And internally we always had this kind of culture of all the product teams building on top of the infrastructure that my team was responsible for. >>And so they were not ever, there was never a, a customer vendor relationship internally within Facebook that we're all like, we're all part of the same team. We're partnering here to have you, you know, to help you have a successful product launch. There's a very similar DNA that, that exists in Rock said, when our customers work with us and they come to us and we are there to make them successful, our consumption based pricing model also forces us to say they're not gonna really use Rock said and consume more. I mean, we don't make money until they consume, right? And so their success is very much integral part of our, our success. And so that I think is one really important angle on, you know, give us a shot, come and do an evaluation, and we will work with you to build the most efficient way to solve your problem. >>And then when you succeed, we succeed. So that I think is a very important aspect. The second one is AWS partnership. You know, we are an ISV partner, you know, AWS a lot of the time. That really helps us establish trust. And a lot of the time, one of the, the, the people that they look up to, when a customer comes in saying, Hey, what is, who is Rock? Said? You know, who are your friends? Yeah. Who are your friends? And then, you know, and then the AWS will go like, oh, you know, we'll tell you, you know, all these other successful case studies that R has, you know, you know, built up on, you know, the world's largest insurance provider, Europe's largest insurance provider. We have customers like, you know, JetBlue Airlines to Klarna, which is a big bator company. And so, so all these case studies help and, and, and, and platform and partners like AWS helps us, helps you amplify that, that, you know, and, and, and, and, and give more credibility. And last but not least, compliance matters. You know, being Soto type two compliant is, is a really important part of establishing trust. We are hip hop compliant now so that, you know, we can, you know, pi I phi data handling that. And so I think that will continue to be a part, a big part of our focus in improving the security, you know, functionality and, and capabilities that R set has in the cloud, and also compliance and, and the set of com, you know, you know, standards that we are gonna be compliant against. >>Well, I'm glad you hit on the AWS too, cause I did wanna bring that up. I, I appreciate that and I know they appreciate the relationship as well. Thanks for the time here. It's been a pleasure. Awesome. Learning about Rockette and what you're up to. Thank you. >>You bet. >>It's a pleasure. Thank you. Vi ka. All right. You are watching the cube coverage here at AWS Reinvent 22. And on the cube, of course, the leader, the leader in high tech coverage.

>>Hello friends and welcome back to Fabulous Las Vegas, Nevada, where we are live from the show floor at AWS Reinvent. My name is Savannah Peterson, joined by my fabulous co-host John Furrier. John, how was your lunch? >>My lunch was great. Wasn't very complex like it is today, so it was very easy, >>Appropriate for the conversation we're about >>To have. Great, great guests coming up Cube alumni and great question around complexity and how is wellbeing teams be good? >>Yes. And, and and on that note, let's welcome John from DeWit as well as Danny from Inox. I swear I'll be able to say that right by the end of this. Thank you guys so much for being here. How's the show going for you? >>Excellent so far. It's been a great, a great event. You know, back back to pre Covid days, >>You're still smiling day three. That's an awesome sign. John, what about you? >>Fantastic. It's, it's been busier than ever >>That that's exciting. I, I think we certainly feel that way here on the cube. We're doing dozens of videos, it's absolutely awesome. Just in case. So we can dig in a little deeper throughout the rest of the segment just in case the audience isn't familiar, let's get them acquainted with your companies. Let's start with do it John. >>Yeah, thanks Savannah. So do it as a global technology company and we're partnering with deleted cloud providers around the world and digital native companies to provide value and solve complexity. John, to your, to your introductory point with all of the complexities associated with operating in the cloud, scaling a business in the cloud, a lot of companies are just looking to sort of have somebody else take care of that problem for them or have somebody they can call when they run into, you know, into problems scaling. And so with a combination of tech, advanced technology, some of the best cloud experts in the world and unlimited tech support or we're offloading a lot of those problems for our customers and we're doing that on a global basis. So it's, it's an exciting time. >>I can imagine pretty much everyone here on the show floor is dealing with that challenge of complexity. So a couple customers for you in the house. What about you Danny? >>I, I come from a company which operates in a financial industry market. So we essentially a global broker, financial trading broker. Which what this means for those people who don't really understand, essentially we allow clients to be able to trade digitally and speculate with different pricing, pricing tools online. We offer a different products for different type of clients. We have institutional clients, we've got our affiliates, partners programs and we've got a retail clients and this is where AWS and Doit comes handy allows us to offer our products digitally across the globe. And one of the key values for us here is that we can actually offer a product in regions where other people don't. So for example, we don't compete in North America, we don't compete in EME in Europe, but we just do it in AWS to solve our complex challenges in regions that naturally by, depending on where they base, they have like issues and that's how we deliver our product. >>And which regions, Latin >>America, Latin, the entire Africa, subcontinent, middle East, southeast Asia, the culture is just demographic is different. And what you used to have here is not exactly what you have over there. And obviously that brings a lot of challenges with onboarding and clients, deposit, trading activities, CDN latency, all of >>That stuff. It's interesting how each region's different in their, their posture with the cloud. Someone roll their own, someone outta the box. So again, this brings up this theme this year guys, which is about end to end seeing purpose built like specialty solutions. A lot of solutions going end to end with data makes kind of makes it more complicated. So again, we got more complexity coming, but the greatest the cloud is, you can abstract that away. So we are seeing this is a big opportunity for partners to innovate. You're seeing a lot of joint engineering, a lot more complexities coming still, but still end to end is the end game so to speak. >>A absolutely John, I mean one, one of the sort of ways we describe what we try to do for our customers like Equinox is to be your co-pilot in the cloud, which essentially means, you know, >>What an apt analogy. >>I think so, yeah, >>Well, well >>Done there. I think it works. Yvanna. Yeah, so, so as I mentioned, these are the majority or almost all of our customers are pretty sophisticated tech savvy companies. So they don't, you know, they know for most, for the most part what they're trying to achieve. They're approaching scale, they're at scale or they're, or they're through that scale point and they, they just wanna have somebody they can call, right? They need technology to help abstract away the complex problem. So they're not doing so much manual cloud operational work or sometimes they just need help picking the next tech right to solve the end to end use case that that they're, that they're dealing with >>In business. And Danny, you're rolling out solutions so you're on, you're on the front lines, you gotta make it easier. You didn't want to get in the weeds on something that should be taken care of. >>Correct. I mean one of the reasons we go do it is you need to, in order to involve do it, you need to know your problems, understand your challenges, also like a self review only. And you have to be one way halfway through the cloud journey. You need to know your problems, what you want to achieve, where you want to end up a roadmap for the next five years, what you want to achieve. Are we fixing or developing a building? And then involve those guys to come and help you because they cannot just come with magic one and fix all your problems. You need to do that yourself. It's not like starting the journey by yourself. >>Yeah. One thing that's not played up in this event, I will say they may, I don't, they missed, maybe Verner will hit it tomorrow, but I think they kind of missed it a little bit. But the developer productivity's been a big issue. We've seen that this year. One of the big themes on the cube is developer productivity, more velocity on the development side to keep pace with what's on, what solutions are rolling out the customers. And the other one is skills gap. So, and people like, and people have old skills, like we see VMware being bought by Broadcom for instance, got a lot of IT operators at VMware, they gotta go cloud somewhere. So you got new talent, existing talent, skill gaps, people are comfortable, yet the new stuff's there, developers gotta be more productive. How do you guys see that? Cuz that's gonna be how that plays now, it's gonna impact the channel, the partnership relationship, your ability to deliver. >>What's your reaction to that first? Well I think we obviously have a tech savvy team. We've got developers, we've got dev, we've got infrastructure guys, but we only got so much resource that we can afford. And essentially by evolving due it, I've doubled our staff. So we got a tech savvy senior solution architects which comes to do the sexy stuff, actually develop and design a new better offering, better product that makes us competitive. And this is where we involved, essentially we use the due IT staff as an staff employees that our demand is richly army of qualified people. We can actually cherry pick who we want for the call to do X, Y, and Z. And they're there to, to support you. We just have to ask for help. And this is how we fill our gap from technical skills or budget constrained within, you know, within recruitment. >>And I think, I think what, what Danny is touching on, John, what you mentioned is, is really the, the sort of the core family principle of the company, right? It's hard enough for companies like Equinox to hire staff that can help them build their business and deliver the value proposition that they're, that they see, right? And so our reason for existence is to sort of take care of the rest, right? We can help, you know, operate your cloud, show you the most effective way to do that. Whether they're finops problems, whether they're DevOps problems, whether dev SEC ops problems, all of these sort of classic operational problems that get 'em the way of the core business mission. You're not in the business of running the cloud, you're in the business of delivering customer value. We can help you, you know, manage your cloud >>And it's your job to do it. >>It is to do it >>Can, couldn't raise this upon there. How long have y'all been working together? >>I would say 15 months. We took, we took a bit of a conservative approach. We hope for the baseball, prepare for the worst. So I didn't trust do it. I give them one account, start with DEF U A C because you cannot, you just have to learn the journey yourself. So I think I would, my advice for clients is give it the six months. Once you establish a relationship, build a relationship, give them one by one start slowly. You actually understand by yourself the skills, the capacity that they have. And also the, for me consultants is really important And after that just opens up and we are now involving them. We've got new project, we've got problem statement. The first thing we do, we don't Google it, we just say do it. Log a ticket, we got the team. You're >>A verb. >>Yeah. So >>In this case we have >>The puns are on list here on the Cuban general. But with something like that, it's great. >>I gotta ask you a question cuz this is interesting John. You know, we talked last year on the cube and, and again this is an example of how innovations playing out. If you look at the announcements, Adam Celski did and then sw, he had 13 or so announcements. I won't say it's getting boring, but when you hear boring, boring is good. When you start getting into these, these gaps in the platforms as it grows. I won't say they was boring cause that really wasn't boring. I like the data >>Itself. It's all fascinating, John, >>But it, but it's a lot of gap filling, you know, 50 connectors you got, you know, yeah. All glue layers being built in AI's critical. The match cloud is there. What's the innovation? You got a lot of gaps being filled, boring is good. Like Kubernetes, we say there boring means, it's being invisible. That means it's going away. What's the exciting things from your perspective in cloud here? >>Well, I think, I mean, boring is an interesting word to use cuz a company with the heritage of AWS is constantly evolving. I mean, at the core of that company's culture is innovation, technology, development and innovation. And they're building for builders as, as you know, just as well as I do. Yeah. And so, but what we find across our customer base is that companies that are scaling or at scale are using maybe a smaller set of those services, but they're really leveraging them in interesting ways. And there is a very long tail of deeper, more sophisticated fit for purpose, more specific services. And Adam announced, you know, who knows him another 20 or 30 services and it's happening year after year after year. And I think one of the things that, that Danny might attest to is, I, I spoke about the reason we exist and the reason we form the company is we hold it very, a very critical part of our mission is to stay abreast of all of those developments as they emerge so that Danny and and his crew don't have to, right? And so when they have a, a, a question about SageMaker or they have a question about sort of the new big data service that Adam has announced, we take it very seriously. Our job is to be able to answer that question quickly and >>Accurately. And I notice your shirt, if you could just give a little shirt there, ops, cloud ops, DevOps do it. The intersection of the finance, the tuning is now we're hearing a lot of price performance, cost recovery, not cost recovery, but cost management. Yeah. Optimizing. So we're seeing building scale, but now, now tuning almost a craft, the craft of the cloud is here. What's your reaction to that? It, >>It absolutely is. And this is a story as old as the cloud, honestly. And companies, you know, they'll, they'll, companies tend to follow the same sort of maturity journey when they first start, whether they're migrating to the cloud or they were born in the cloud as most of our customers are. There's a, there's a, there's an, there's an access to visibility and understanding and optimization to tuning a craft to use your term. And, and cost management truly is a 10 year old problem that is as prevalent and relevant today as it was, you know, 10 years ago. And there's a lot of talk about the economics associated with the cloud and it's not, certainly not always cheaper to run. In fact, it rarely is cheaper to run your business from any of the public cloud providers. The key is to do it and right size it and make sure it's operating in accordance and alignment with your business, right? It's okay for cloud process to go up so long as your top line is also >>Selling your proportion. You spend more cloud to save cloud. That's it's >>Penny wise, pound full. It's always a little bit, always a little bit of a, of a >>Dilemma on, on the cost saving. We didn't want to just save money. If you want to save money, just shut down your services, right? So it's about making money. So this is where do it comes, like we actually start making, okay, we spend a bit more now, but in about six months time I will be making more money. And we've just did that. We roll out the new application for all the new product offering host to AWS fully with the guys support, a lot of long, boring, boring, boring calls, but they're productive because we actually now have a better product, competitive, it's tailored for our clients, it's cost effective. And we are actually making money >>When something's invisible. It's working, you know, talking about it means it's, it's, it's operational. >>It's exactly, it's, >>Well to that point, John, one of the things we're most proud of in, you know, know this year was, was the launch of our product we called Flex Save, which essentially does exactly what you've described. It's, it's looking for automation and, and, and, and automatic ways of, yes. Saving money, but offering the opportunities to, to to improve the economics associated with your cloud infrastructure. >>Yeah. And improving the efficiency across the board. A hundred percent. It, it's, oh, it's awesome. Let's, and, and it's, it's my understanding there's some reporting and insights that you're able to then translate through from do it to your CTO and across the company. Denny, what's that like? What do you get to see working >>With them? Well, the problem is, like the CTO asked me to do all of that. It is funny he thinks that he's doing it, but essentially they have a excellent portal that basically looks up all of our instances on the one place. You got like good analytics on your cost, cost, anomalies, budget, costal location. But I didn't want to do that either. So what I have done is taken the next step. I actually sold this to the, to my company completely. So my finance teams goes there, they do it themselves, they log in, check, check, all the billing, the costal location. I actually has zero iteration with them if I don't hear anything from them, which is one of the benefits. But also there is lot of other products like the Flexe is virtually like you just click a finger and you start saving money just like that. Easy >>Is that easy button we've been talking about on >>The show? Yeah, exactly, exactly how it is. But there is obviously outside of the cost management, you actually can look at what is the resource you using do actually need it, how often you use it, think about the long term goal, what you're trying to achieve, and use the analytics to, and actually I have to say the analytics much better than AWS in, in, in, in cmp. It's, it's just more user friendly, more interactive as opposed to, you know, building the one in aws. >>It's good business model. Make things easy for your customers. Easy, simple >>To use. >>It's gotta be nice to hear John. >>Well, so first of all, thank you daddy. >>We, we work, but in all seriousness, you know, we, we work, Danny mentioned the trust word earlier. This is at the core of if we don't, if we're not able to build trust with our clients, our business is dead. It, it just doesn't exist. It can't scale. In fact, it'll go the opposite direction. And so we're, we work very, very hard to earn that trust and we're willing to start small to Danny's example, start small and grow. And that's why we're very, one of the things we're most proud of is, is how few customers tend to leave us year over year. We have customers that have been with us for 10 years. >>You know, Andy, Jesse always has, I just saw an interview, he was on the New York Times event in New York today as a CEO of Amazon. But he's always said in these build out phases, you gotta work backwards from the customer and innovate on behalf of the customer. Cause that's the answer that will always be a good answer for the outcome versus optimizing for just profit, you know what I'm saying? Or other things. So we're still in build out mode, >>You know, as a, as a, as a core fundamental sort of product concept. If you're not solving important problems for our customer, what are you, why, why are you investing? It just >>Doesn't make it. This is the beauty we do it. We actually, they wait for you to come to do the next step. They don't sell me anything. They don't bug me with emails. They're ready. When you're ready to make that journey, you just log a ticket and then come and help you. And this is the beauty. You just, it's just not your, your journey. >>I love it. That's a, that's a beautiful note to lead us to our new tradition on the cube. We have a little bit of a challenge for the both of you. We're looking for your 32nd Instagram real thought leadership sizzle anecdote. Either one of you wanna go first. John looks a little nauseous. Danny, you wanna give it a go? >>Well, we've got a few expressions, but we don't Google it. We just do it. And the key take, that's what we do now at, at, and also what we do is actually using their stuff as an influence employees richly. Like that's what we do. >>Well done, well done. Didn't even need the 30 seconds. Fantastic work, Danny. I love that. All right, John, now you do have to go. Okay, >>I'll goodness. You know, I'll, I'll, I'll, I'll I'll go back to what I mentioned earlier, if that's okay. I think we, you know, we exist as a company to sort of help our customers get back to focusing on why they started the business in the first place, which is innovating and delivering value to customers. And we'll help you take care of the rest. It's as simple as that. Awesome. >>Well done. You absolutely nailed it. I wanna just acknowledge your fan club over there watching. Hello everyone from the doit team. Good job team. I love, it's very cute when guests show up with an entourage to the cube. We like to see it. You obviously deserve the entourage. You're, you're both wonderful. Thanks again for being here on the show with Oh yeah, go ahead >>John. Well, I would just like to thank Danny for, for agreeing to >>Discern, thankfully >>Great to spend time with you. Absolutely. Let's do it. >>Thank you. Yeah, >>Yeah. Fantastic gentlemen. Well thank you all for tuning into this wonderful start to the afternoon here from AWS Reinvent. We are in Las Vegas, Nevada with John Furier. My name's Savannah Peterson, you're watching The Cube, the leader in high tech coverage.

(upbeat music) >> Hi everybody. Welcome back to theCUBE as to continue our coverage here at AWS re:Invent '22. We're in the Venetian. Out in Las Vegas, it is Wednesday. And the PaaS is still happening. I can guarantee you that. We continue our series of discussions as part of the "AWS Startup Showcase". This is the "Global Startup Program", a part of that showcase. And I'm joined by two gentlemen today who are going to talk about what CoreStack is up to. One of them is Ez Natarajan, who is the Founder and CEO. Good to have you- (simultaneous chatter) with us today. We appreciate it. Thanks, EZ. >> Nice to meet you, John. >> And Brad Winney who is the area Sales Leader for startups at AWS. Brad, good to see you. >> Good to see you, John. >> Thanks for joining us here on The Showcase. So Ez, first off, let's just talk about CoreStack a little bit for people at home who might not be familiar with what you do. It's all about obviously data, governance, giving people peace of mind, but much deeper than that. I'll let you take it from there. >> So CoreStack is a governance platform that helps customers maximize their cloud usage and get governance at scale. When we talk about governance, we instill confidence through three layers: solving the problems of the CIO, solving the problems of the CTO, solving the problems of the CFO, together with a single pin of class,- >> John: Mm-hmm. >> which helps them achieve continuous holistic automated outcomes at any given time. >> John: Mm-hmm. So, Brad, follow up on that a little bit- >> Yeah. because Ez touched on it there that he's got a lot of stakeholders- >> Right. >> with a lot of different needs and a lot of different demands- >> Mm-hmm. >> but the same overriding emotion, right? >> Yeah. >> They all want confidence. >> They all want confidence. And one of the trickiest parts of confidence is the governance issue, which is policy. It's how do we determine who has access to what, how we do that scale. And across not only start been a process. This is a huge concern, especially as we talked a lot about cutting costs as the overriding driver for 2023. >> John: Mm-hmm. >> The economic compression being what it is, you still have to do this in a secure way and as a riskless way as possible. And so companies like CoreStack really offer core, no pun intended, (Ez laughs) function there where you abstract out a lot of the complexity of governance and you make governance a much more simple process. And that's why we're big fans of what they do. >> So we think governance from a three dimensional standpoint, right? (speaks faintly) How do we help customers be more compliant, secure, achieve the best performance and operations with increased availability? >> Jaohn: Mm-hmm. >> At the same time do the right spend from a cost standpoint. >> Interviewer: Mm-hmm. So when all three dimensions are connected, the business velocity increases and the customer's ability to cater to their customers increase. So our governance tenants come from these three pillars of finance operations, security operations and air operations at cloud operations. >> Yeah. And... Yeah. Please, go ahead. >> Can I (indistinct)? >> Oh, I'm sorry. Just- >> No, that's fine. >> So part of what's going on here, which is critical for AWS, is if you notice a lot of (indistinct) language is at the business value with key stakeholders of the CTO, the CSO and so on. And we're doing a much better job of speaking business value on top of AWS services. But the AWS partners, again, like CoreStack have such great expertise- >> John: Mm-hmm. >> in that level of dialogue. That's why it's such a key part for us, why we're really interested partnering with them. >> How do you wrestle with this, wrestle may not be the right word, but because you do have, as we just went through these litany, these business parts of your business or a business that need access- >> Ez: Mm-hmm. >> and that you need to have policies in place, but they change, right? I mean, and somebody maybe from the financial side should have a window into data and other slices of their business. There's a lot of internal auditing. >> Man: Mm-hmm. >> Obviously, it's got to be done, right? And so just talk about that process a little bit. How you identify the appropriate avenues or the appropriate gateways for people to- >> Sure. >> access data so that you can have that confidence as a CTO or CSO, that it's all right. And we're not going to let too much- >> out to the wrong people. >> Sure. >> Yeah. So there are two dimensions that drive the businesses to look for that kind of confidence building exercise, right? One, there are regulatory external requirements that say that I know if I'm in the financial industry, I maybe need to following NIST, PCI, and sort of compliances. Or if I'm in the healthcare industry, maybe HIPAA and related compliance, I need to follow. >> John: Mm-hmm. >> That's an external pressure. Internally, the organizations based on their geographical presence and the kind of partners and customers they cater to, they may have their own standards. And when they start adopting cloud; A, for each service, how do I make sure the service is secure and it operates at the best level so that we don't violate any of the internal or external requirements. At the same time, we get the outcome that is needed. And that is driven into policies, that is driven into standards which are consumable easily, like AWS offers well-architected framework that helps customers make sure that I know I'm architecting my application workloads in a way that meets the business demands. >> John: Mm-hmm. >> And what CoreStack has done is taken that and automated it in such a way it helps the customers simplify that process to get that outcome measured easily so they get that confidence to consume more of the higher order services. >> John: Okay. And I'm wondering about your relationship as far with AWS goes, because, to me, it's like going deep sea fishing and all of a sudden you get this big 4, 500 pound fish. Like, now what? >> Mm-hmm. >> Now what do we do because we got what we wanted? So, talk about the "Now what?" with AWS in terms of that relationship, what they're helping you with, and the kind of services that you're seeking from them as well. >> Oh, thanks to Brad and the entire Global Startup Ecosystem team at AWS. And we have been part of AWS Ecosystem at various levels, starting from Marketplace to ISV Accelerate to APN Partners, Cloud Management Tools Competency Partner, Co-Sell programs. The team provides different leverages to connect to the entire ecosystem of how AWS gets consumed by the customers. Customers may come through channels and partners. And these channels and partners maybe from WAs to MSPs to SIs to how they really want to use each. >> John: Mm-hmm. >> And the ecosystem that AWS provides helps us feed into all these players and provide this higher order capability which instills confidence to the customers end of the day. >> Man: Absolutely. Right. >> And this can be taken through an MSP. This can be taken through a GSI. This can be taken to the customer through a WA. And that's how our play of expansion into larger AWS customer base. >> Brad: Yeah. >> Brad, from your side of the fence. >> Brad: No, its... This is where the commons of scale come to benefit our partners. And AWS has easily the largest ecosystem. >> John: Mm-hmm. >> Whether or not it's partners, customers, and the like. And so... And then, all the respective teams and programs bring all those resources to bear for startups. Your analogy of of catching a big fish off coast, I actually have a house in Florida. I spend a lot of time there. >> Interviewer: Okay. >> I've yet to catch a big 500 pound fish. But... (interviewer laughs) >> But they're out there. >> But they're definitely out there. >> Yeah. >> And so, in addition to the formalized programs like the Global Partner Network Program, the APN and Marketplace, we really break our activities down with the CoreStacks of the world into two major kind of processes: "Sell to" and "Sell with". And when we say "Sell to", what we're really doing is helping them architect for the future. And so, that plays dividends for their customers. So what do we mean by that? We mean helping them take advantage of all the latest serverless technologies: the latest chip sets like Graviton, thing like that. So that has the added benefit of just lowering the overall cost of deployment and expend. And that's... And we focus on that really extensively. So don't ever want to lose that part of the picture of what we do. >> Mm-hmm. >> And the "Sell with" is what he just mentioned, which is, our teams out in the field compliment these programs like APN and Marketplace with person-to-person in relationship development for core key opportunities in things like FinTech and Retail and so on. >> Interviewer: Mm-hmm. >> We have significant industry groups and business units- >> Interviewer: Mm-hmm. >> in the enterprise level that our teams work with day in and day out to help foster those relationships. And to help CoreStack continue to develop and grow that business. >> Yeah. We've talked a lot about cost, right? >> Yeah. >> But there's a difference between reducing costs or optimizing your spend, right? I mean there- >> Brad: Right. >> Right. There's a... They're very different prism. So in terms of optimizing and what you're doing in the data governance world, what kind of conversations discussions are you having with your clients? And how is that relationship with AWS allowing you to go with confidence into those discussions and be able to sell optimization of how they're going to spend maybe more money than they had planned on originally? >> So today, because of the extra external micro-market conditions, every single customer that we talk to wanting to take a foster status of, "Hey, where are we today? How are we using the cloud? Are we in an optimized state?" >> Interviewer: Mm-hmm. >> And when it comes to optimization, again, the larger customers that we talk to are really bothered about the business outcome and how their services and ability to cater to their customers, right? >> Interviewer: Mm-hmm. >> They don't want to compromise on that just because they want to optimize on the spend. That conversation trickled down to taking a poster assessment first, and then are you using the right set of services within AWS? Are the right set of services being optimized for various requirements? >> Interviewer: Mm-hmm. >> And AWS help in terms of catering to the segment of customers who need that kind of a play through the patent ecosystem. >> John: Mm-hmm. Yeah. We've talked a lot about confidence too, cloud with confidence. >> Brad: Yeah. Yeah. >> What does that mean to different people, you think? I mean, (Brad laughing) because don't you have to feel them out and say "Okay. What's kind of your tolerance level for certain, not risks, but certain measures that you might need to change"? >> I actually think it's flipped the other way around now. I think the risk factor- >> Okay. >> is more on your on-prem environment. And all that goes with that. 'Cause you... Because the development of the cloud in the last 15 years has been profound. It's gone from... That's been the risky proposition now. With all of the infrastructure, all the security and compliance guardrails we have built into the cloud, it's really more about transition and risk of transition. And that's what we see a lot of. And that's why, again, where governance comes into play here, which is how do I move my business from on-prem in a fairly insecure environment relatively speaking to the secure cloud? >> Interviewer: Sure. >> How do I do that without disrupting business? How do I do that without putting my business at risk? And that's a key piece. I want to come back, if I may, something on cost-cutting. >> Interviewer: Sure. >> We were talking about this on the way up here. Cost-cutting, it's the bonfire of the vanities in that in that everybody is talking about cost-cutting. And so we're in doing that perpetuating the very problem that we kind of want to avoid, which is our big cost-cutting. (laughs) So... And I say that because in the venture capital community, what's happening is two things: One is, everybody's being asked to extend their runways as much as possible, but they are not letting them off the hook on growth. And so what we're seeing a lot of is a more nuanced conversation of where you trim your costs, it's not essential, spend, but reinvest. Especially if you've got good strong product market fit, reinvest that for growth. And so that's... So if I think about our playbook for 2023, it's to help good strong startups. Either tune their market fit or now that they good have have good market fit, really run and develop their business. So growth is not off the hook for 2023. >> And then let me just hit on something- >> Yeah. >> before we say goodbye here that you just touched on too, Brad, about. How we see startups, right? AWS, I mean, obviously there's a company focus on nurturing this environment of innovation and of growth. And for people looking at maybe through different prisms and coming. >> Brad: Yeah. >> So if you would maybe from your side of the fence, Ez from CoreStack, about working as a startup with AWS, I mean, how would you characterize that relationship about the kind of partnership that you have? And I want to hear from Brad too about how he sees AWS in general in the startup world. But go ahead. >> It's kind of a mutually enriching relationship, right? The support that comes from AWS because our combined goal is help the customers maximize the potential of cloud. >> Interviewer: Mm-hmm. >> And we talked about confidence. And we talked about all the enablement that we provide. But the partnership helps us get to the reach, right? >> Interviewer: Mm-hmm. >> Reach at scale. >> Interviewer: Mm-hmm. We are talking about customers from different industry verticals having different set of problems. And how do we solve it together so that like the reimbursement that happens, in fact healthcare customers that we repeatedly talk to, even in the current market conditions, they don't want to save. They want to optimize and re-spend their savings using more cloud. >> Interviewer: Mm-hmm. >> So that's the partnership that is mutually enriching. >> Absolutely. >> Yeah. To me, this is easy. I think the reason why a lot of us are here at AWS, especially the startup world, is that our business interests are completely aligned. So I run a pretty significant business unit in a startup neighbor. But a good part of my job and my team's job is to go help cut costs. >> Interviewer: Mm-hmm. >> So tell me... Show me a revenue responsibility position where part of your job is to go cut cost. >> Interviewer: Right. >> It's so unique and we're not a non-profit. We just have a very good long-term view, right? Which is, if we help companies reduce costs and conserve capital and really make sure that that capital is being used the right way, then their long-term viability comes into play. And that's where we have a chance to win more of that business over time. >> Interviewer: Mm-hmm. >> And so because those business interests are very congruent and we come in, we earn so much trust in the process. But I think that... That's why I think we being AWS, are uniquely successful startups. Our business interests are completely aligned and there's a lot of trust for that. >> It's a great success story. It really is. And thank you for sharing your little slice of that and growing slice of that too- >> Yeah. Absolutely. >> from all appearances. Thank you both. >> Thank you, John. >> Thank you very much, John. >> Appreciate your time. >> This is part of the AWS Startup Showcase. And I'm John Walls. You're watching theCUBE here at AWS re:Invent '22. And theCUBE, of course, the leader in high tech coverage.

>>Well, hello everybody at John Wallace here on the Cube, and glad to have you along here for day two of our coverage here at AWS Reinvent 22. We're up in the global startup program, which is part of AWS's Startup Showcase, and I've got Kevin Farley with me. He is the director of Strategic Alliances with Maria Day db. And Kevin, good to see you this morning. Good to see you, John. Thanks for joining us. Thank >>You. >>Appreciate it. Yeah. First off, tell us about Maria db. Sure. Obviously data's your thing. Yep. But to share that with some folks at home who might not be familiar with your offering. >>Yeah. So Maria DB's been around as a corporate entity for 10 plus years, and we have a massive customer base. You know, there's a billion downloads from Docker Hub, 75% of the Fortune 500. We have an enormous sea of really happy users. But what we realize is that all of these users are really thinking about what do we, what does it mean to transform it? What does cloud modernization mean? And how do we build a strategy on something we really love to drive it into the cloud and take it to the future. So what we launched about two years ago, two and a half years ago, is Skye. It's our database as a service. It leverages all the best elements, what we provide on the enterprise platform. It marries to the AWS cloud, and it really provides the best of both worlds for our >>Customers. So in your thought then, what, what problem is that solving? >>I think what you see in the overall database market is that many people have been using what we would call legacy technology. There's been lots of sort of stratification and mixes of different database solutions. All of them come with some promise, and all of 'em come with a lot of compromise. So I think what the market is really looking for is something that can take what they know and love, can bring it to the cloud and can survive the port drive the performance and scale. That completely changes the landscape, especially as you think about what modern data needs look like, right? What people did 10 years ago with the exponential scale of data no longer works. And what they need is something that not only can really deliver against their core business values and their core business deliverables, but gets 'em to the future. How do we drive something new? How do we innovate? How do we change the game? And I think what we built with AWS really delivers what we call cloud scale. It's taking something that is the best technology, and I as a V can build, marrying it to, you know, Kubernetes layer, marrying it to global availability, thinking about having true global high availability across all of your environments and really delivering that to customers through an integrated partnership. >>Could we see this coming? I mean, because you know data, right? I mean, yeah, we, we, everybody talked about the tsunami of growth, you know, >>Back 10 >>Sure. 11 years ago. But, but maybe the headlights didn't go far enough or, or, but, but you could see that there was going to be crunch time. >>There's no doubt. And I think that this has been a, there's, there's been these sort of pocket solutions, right? So if you think at the entire no sequel world, right? People said, oh, I need scale, I can get it, but what do I have to give up asset compliance? So I have to change the way I think about what data is and how I, I can govern it. So there's been these things that deliver on half the promise, but there's never been something that comes together and really drives what we deliver through CIQ is something called expand. So distributed SQL really tied to the SQL Query language, having that asset data. So having everything you need without the compromise built on the cloud allows you to scale out and allows you to think about, I can actually do exponential layers of, of data, data modeling, data querying, complete read, write, driving that forward. And I think it gives us a whole nother dynamic that we can deliver on in a way that hasn't been before. And I think that's kind of the holy grail of what people are looking for is how am I building modern applications and how do I have a database in the cloud that's really gonna support >>It? You know, you talk about distributed, you know, sequel and, and I mean, there's a little mystery behind it, isn't there? Or at least maybe not mystery. There's a little, I guess, confusion or, or just misunderstanding. I mean, I, how, nail that down a little bit. I >>Would say the best way to say it, honestly, this is the great thing, is it people believe it's too good to be true. And I think what we see over and over >>Again, you know, what they say about that. >>But this is the great part is, you know, you know, we've just had two taste studies recently with aws, with HIT labs and Certified power, both on expand, both proof in the pudding. They did the POCs, they're like, oh my God, this works. If you watch the keynote yesterday, you know, Adam had a slide that was, you know, as big as the entire room and it highlighted Samsung and they said, you know, we're doing 80,000 requests per second. So the, you know, the story there is that AWS is able as, as an entity with their scale and their breadth to handle that kind of workload. But guess what that is? That's MariaDB expand underneath there driving all of that utilization. So it's already there, it's already married, it's already in the cloud, and now we're taking it to a completely different level with a fully managed database solution. Right? >>How impressive is that? Right? I mean, you would think that somebody out there who, I mean that that volume, that kind of capacity is, is mind blowing. >>I mean, to your kind of previous point, it's like one of those things, do I see what's coming and it's here, right? You know, it's, is it actually ever gonna be possible? And now we're showing that it really is on a daily basis for some of the biggest brands in the world. We're also seeing companies moving off not only transitioning from, you know, MariaDB or myse, but all of the big licensed, you know, conversions as well. So you think about Oracle DBS Bank is one of our biggest customers, one of the largest Oracle conversions in the world onto MariaDB. And now thinking about what is the promise of connecting that to the cloud? How do you take things that you're currently doing, OnPrem delivering a hybrid model that also then starts to say, Hey, here's my path to cloud modernization. Skye gives me that bridge. And then you take it one layer farther and you think about multi-cloud, right? That's one of the things that's critical that ISVs can really only deliver in a meaningful way, is how can we have a solution for a customer that we can take to any availability zone. We can have performance, proximity, cost, proximity. We're always able to have that total data dexterity across any environment we need and we can build on that for the future. >>So if, if we're talking about cloud database and there's so many good things going forward here. You're talking about easy use and scalability and all that. But as with ever have you talked about this, there's some push and there's some pull. Yeah. So, so what's the, what's the other side that's still, you know, you that you think has to be >>Addressed? And I think that's a great question. So there's, we see that there's poll, right? We've seen these deals, this pipeline growth, this, there's great adoption. But what I think we're still not at the point of massive hockey stick adoption is that customers still don't fully understand the capabilities distributed SQL and the power they can actually deliver. So the more we drive case studies, the more we drive POCs, the more we prove the model, I think you're gonna see just a massive adoption scale. And I also think customers are tired of doing lots of different things in lots of different pockets. So neither one of the key elements of Sky SQL is we can do both transactional and analytical data out of the same database driven by the same proxy. So what, instead of having DBAs and developers try to figure out, okay, I'm gonna pull from this database here. >>Yeah. That there, it's, it's this big spaghetti wire concept that is super expensive and super time intensive. So the ability to write modern applications and pull data from both pockets and really be able to have that as a seamless entity and deliver that to customers is massive. I mean, another part of the keynote yesterday was a new deliverable, like kind of no etl. Adam talked about Aurora and Redshift and the massive complexity of what used to exist for getting data back and forth. You also have to pay for two different databases. It's super expensive. So I think the idea that you can take the real focus of AWS and US is customer value. How do you deliver that next thing that changes the game? Always utilizes AWS delivers on that promise, but then takes a net new technology that really starts to think about how do we bring things together? How do we make it more simple? How do we make it more powerful? And how do we deliver more customer value as we go forward? >>But you know, if, if I'm, I'm still an on-prim guy, just pretend I'm not saying I am. Just pretend I just for the sake of the discussion here, it's like I just can't let it go. Yeah. Right. I, I still, you know, there's control, there's the known versus the unknown. The uncertain. Yeah. So twist my arm just a little bit more and get me over the hum. >>Well, first of all, you don't have to, right? And there's gonna be some industries and some verticals that will always have elements of their business that will be OnPrem. Guess what? We make the best based in the world. It can be MariaDB, but there's those that then say, these, these elements of our business are gonna be far more effective moving to the cloud. So we give you Skye, there's a natural symbiotic bridge between everything we do and how we deliver it. Where you can be hybrid and it's great. You can adopt the cloud as your business needs grow. And you can have multi-cloud. This is that, that idea that you can, can have your cake and eat it too, right? You can literally have all these elements of your business met without these big pressure to say, you gotta throw that away. You gotta move to this. It's really, how do you kind of gracefully adopt the cloud in a way that makes sense for your business? Where are you trying to drive your business? Is it time to value, right? Is it governance? Is it is there's different elements of what matters the most to individual businesses. You know, we wanna address those and we can address >>Those. So you're saying you don't have to dive >>In, you don't have to dive >>In. You, you can, you can go ankle deep, knee deep, whatever you wanna >>Do. Absolutely. And you know, some of the largest MariaDB users still have massive, massive on-prem implementations. And that's okay. But there's elements that are starting to fall behind. There's cost savings, there's things that they need to do in the cloud that they can't do. OnPrem. And that's where expand Skye really says, okay, here is your platform. Grow as you want to, migrate as you want to. And we're there every step along the way. We, we also provide a whole Sky DBA team. Some guys just say, I wanna get outta the database world at all. This is, this is expensive, it's costly and it's difficult to be an expert. So you can bring in our DBA team and they'll man and run, they'll, they'll run your entire environment. They'll optimize it, you know, they'll troubleshoot it, they'll bug fix, they'll do everything for you. So you can just say, I just wanna focus on building phenomenal applications for my customers. And the database game as we knew it is not something that I know I want to invest in anymore. Right. I wanna make that transition >>That makes that really, yeah. You know, I mean really attractive to a lot of people because you are, you talk about a lot of headache there. Yeah. So let's talk about AWS before Sure. I let you go just about that relationship. Okay. You've talked about the platform that it provides you and, and obviously the benefits, but just talk about how you've worked with AWS over the years Yep. And, and how you see that relationship allowing you to expand your services, no pun intended. >>For sure. So, I mean, I would start with the way we even contemplated architecture. You know, we worked with the satisfactory team. We made sure that the things that we built were optimized in their environment. You know, I think it was a lot of collaboration on how does this combined entity really make the most value for our customers? How does it make the most sense for our developers as we build it out? Then we work in the, in the global startup team. So the strategic element of who we are, not all startups are created equal, right? We have, right, we have 75% of the Fortune 100, we've got over a billion downloads. So, you know, we come in with promise. And the reason this partnership is so valuable and the reason there's so much investment going forward is cuz what really, what do the cloud guys care about? >>The very, very most, they want all of these mission critical, big workloads that are on prem to land in their cloud. What do we have a massive, massive TAM sitting out there, these customers that could go to aws. So we both see, like if we can deliver incredible value to that customer base, these big workloads will end up in aws. They'll use other AWS services. And as we scale and grow, you know, we have that platform that's already built for it. So I think that when you go back to like the tenants, the core principles of aws, the one that always stands out, the one that we always kind of lean back on is, are we delivering customer value? Is this the best thing for the customer? Because we do have some competition just like many other, other partners do, right? So there is Aurora and there is rds and there is times when that's a great service for a customer. But when people are really thinking about where do I need my database to go? Where do I really need to be set for the future growth? Where am I gonna get the kind of ROI I need going forward? That's where you can go, Hey, sky sql, expand distributed sql. This is the best game in town. It's built on aws and collectively, you know, we're gonna present that to a customer. I'm >>Sold. Done. >>I love it. Right? >>Maria db, check 'em out, they're on the show floor. Great traffic. I know at at the, at the booth. They're here at AWS Reinvent. So check 'em out. Maria db. Thanks >>Kevin. Hey, thanks John. Appreciate your >>Time. Appreciate Great. That was great. Right back with more, you're watching the cube, the leader in high tech coverage.

>> Good afternoon, fellow cloud nerds and welcome back to AWS Reinvent 2022. We are live here from fabulous Las Vegas, Nevada. My name is Savannah Peterson, joined by Lisa Martin. So excited to be here Lisa, it's my first reinvent. >> Is it really? >> Yeah. >> I think it's only like my fourth or fifth. >> Only your fourth or fifth. >> Only. >> You're such a pro here. >> There's some serious veterans here in attendance that have been to all 11. >> I love that. >> Yeah. Wow, go them. I know, maybe we'll be at that level sooner. >> One day we will. >> Are you enjoying the show so far? >> Absolutely, it is. I cannot believe how many people are here. We've had 70,000 and we're only seeing what's at the foundation Expo Hall, not at the other hotel. So, I can only imagine. >> I mean, there's a world outside of this. >> Yes, and there's sunlight. There's actual sunlight outside of this room. >> Nobel idea. Well, Lisa, I'm very excited to be sitting here next to you and to welcome our fabulous guests, from TEKsystems, we have Brandon and Srini. Thank you so much for being here. How is the show going for you gentlemen so far? >> It's great. Lot of new insights and the customers are going to love what AWS is releasing in this reinvent. >> There is such a community here, and I love that vibe. It's similar to what we had at Cloud Native con in Detroit. So much collaboration going on. I assume most folks know a lot about TEKsystems who are watching, but just in case they don't, Brandon, give us the pitch. >> You bet. So full stack IT solutions firm, been in business for over 40 years, 80,000 global employees, really specializing in digital transformation, enterprise modernization services. We have partners in One Strategy, which is an an acquisition we made, but a well known premier partner in the Amazon partner ecosystem, as well as One North Interactive, who is our boutique brand, creative and digital strategy firm. So together, we really feel like we can bring full end-to-end solutions for digital and modernization initiatives. >> So, I saw some notes where TEKsystems are saying organizations need experienced AWS partners that are not afraid doing the dirty work of digital transformation, who really can advise and execute. Brandon, talk to us about how TEKsystems and AWS are working together to help customers on that journey which is nebulous of digital transformation. >> So, our real hallmark is the ability to scale. We partner with AWS in a lot of different ways. In fact, we just signed our strategic collaboration agreement. So, we're in the one percenter group in the whole partner network. >> Savanna: That's a pretty casual flex there. >> Not bad. >> I love that, top 1%, that no wonder you're wearing that partner pin so proud today. (speaking indistinctly) >> But we're working all the way on the advisory and working with their pro serve organization and then transforming that into large scale mass migration services, a lot of data modernization that Srini is an absolute expert in. I'm sure he can add some context too, but it's been a great partnership for many years now. >> In the keynote, Adam spent almost 52 minutes on data, right? So, it emphasizes how organizations are ready to take data to cloud and actually make meaningful insights and help their own customers come out of it by making meaningful decisions. So, we are glad to be part of this entire ecosystem. >> I love that you quantified how many minutes. >> I know. >> Talked about it, that was impressive. There's a little bit of data driven thinking going on here. >> I think so. >> Yeah. >> Well, we can't be at an event like this without talking about data for copious amounts of time, 52 minutes, has just used this morning. >> Right, absolutely. >> But every company these days has to be a data company. There's no choice to be successful, to thrive, to survive. I mean, even to thrive and grow, if it's a grocery store or your local gas station or what? You name it, that company has to be a data company. But the challenge of the data volume, the explosion in data is huge for organizations to really try to figure out and sift through what they have, where is all of it? How do we make sense of it? How do we act on it and get insights? That's a big challenge. How is TEKsystems helping customers tackle that challenge? >> Yeah, that's a great question because that's the whole fun of handling data. You need to ensure its meaning is first understood. So, we are not just dumping data into a storage place, but rather assign a meaningful context. In today's announcement, again, the data zone was unveiled to give meaning to data. And I think those are key concrete steps that we take to our customers as well with some good blueprints, methodical ways of approaching data and ultimately gaining business insights. >> And maybe I'll add just something real quick to that. The theme we're seeing and hearing a lot about is data monetization. So, technology companies have figured it out and used techniques to personalize things and get you ads, probably that you don't want half the time. But now all industries are really looking to do that. Looking at ways to open new revenue channels, looking at ways to drive a better customer experience, a better employee experience. We've got a ton of examples of that, Big Oil and Gas leveraging like well and machine data, coming in to be more efficient when they're pumping and moving commodities around. We work a lot in the medium entertainment space and so obviously, getting targeted ads to consumers during the right periods of TV or movies or et cetera. Especially with the advert on Netflix and all your streaming videos. So, it's been really interesting but we really see the future in leveraging data as one of your biggest corporate assets. >> Brilliant. >> So, I'm just curious on the ad thing, just real quick and I'll let you go, Lisa. So, do you still fall victim to falling for the advertising even though you know it's been strategically put there for you to consume in that moment? >> Most of the time. >> I mean, I think we all do. We're all, (indistinct), you're behind the curtain so to speak. >> The Amazon Truck shows up every day at my house, which is great, right? >> Hello again >> Same. >> But I think the power of it is you are giving the customer what they're looking for. >> That's it. >> And you know... >> Exactly. We have that expectation, we want it. >> 100%. >> We know that. >> Agree. >> We don't need to buy it. But technology has made it so easy to transact. That's like when developers started going to the cloud years ago, it was just, it was a swipe. It was so simple. Brandon, talk about the changes in cloud and cloud migration that TEKsystems has seen, particularly in the last couple of years as every company was rushing to go digital because they had to. >> So several years ago, we kind of pushed away that cloud first mentality to the side and we use more of a cloud smart kind of fashion, right? Does everything need to go to the cloud? No. Do applications, data, need to go to the cloud in a way that's modern and takes advantages of what the cloud can provide and all the new services that are being released this week and ongoing. So, the other thing we're seeing is initiatives that have traditionally been in the CTO, CIO organization aren't necessarily all that successful because we're seeing a complete misalignment between business goals and IT achievements, outcomes, et cetera. You can automate things, you can move it to the cloud, but if you didn't solve a core business problem or challenge, what'd you really do? >> Yeah, just to add on that, it's all about putting data and people together. And then how we can actually ensure the workforce is equally brought up to speed on these new technologies. That has been something that we have seen tremendous improvement in the last 24 months where customers are ready to take up new challenges and the end users are ready to learn something new and not just stick onto that status quo mindset. >> Where do you guys factor in to bringing in AWS in the customer's cloud journeys? What is that partnership like? >> We always first look for where the customer is in their cloud journey path and make sure we advise them with the right next steps. And AWS having its services across the spectrum makes it even easier for us to look at what business problem they're solving and then align it according to the process and technology so that at the end of the day, we want end user adoption. We don't want to build a fancy new gadget that no one uses. >> Just because you built it doesn't mean they'll come. And I think that's the classic engineering marketing dilemma as well as balance to healthy tension. I would say between both. You mentioned Srini, you mentioned workforce just a second ago. What sort of trends are you seeing in workforce development? >> Generally speaking, there are a lot of services now that can quantify your code for errors and then make sure that the code that you're pushing into production is well tested. So what we are trying to make sure is a healthy mix of trying to solve a business problem and asking the right questions. Like today, even in the keynote, it was all about how QuickSight, for example, has additional features now that tells why something happened. And that's the kind of mindset we want our end users to adopt. Not just restricting themselves to a reactive analytics, but rather ask the question why, why did it happen? Why did my sales go down? And I think those technologies and mindset shift is happening across the workforce. >> From a workforce development standpoint, we're seeing there's not enough workforce and the core skills of data, DevOps, standard cloud type work. So, we're actually an ATP advanced training partner, one of the few within the AWS network. So, we've developed programs like our Rising Talent Program that are allowing us to bring the workforce up to the skills that are necessary in this new world. So, it's a more build versus buy strategy because we're on talents real, though it may start to wane a little bit as we change the macroeconomic outlook in 2023, but it's still there. And we still believe that building those workforce and investing in your people is the right thing to do. >> It is, and I think there's a strong alignment there with AWS and their focus on that as well. I wanted to ask you, Brandon. >> Brandon: Absolutely. >> One of the things, so our boss, John Furrier, the co CEO of theCUBE, talked with Adam Selipsky just a week or maybe 10 days ago. He always gets an exclusive interview with the CEO of AWS before reinvent, and one of the things that Adam shared with him is that customers, CEOs and CIOs are not coming to Adam, to this head of AWS to talk about technology, they want to talk about transformation. He's talking about... >> The topic this year. >> Moving away from amorphous topic of digital transformation to business transformation. Are you seeing the same thing in your customer? >> 100%, and if you're not starting at the business level, these initiatives are going to fail. We see it all the time. Again, it's about that misalignment and there's no good answer to that. But digital, I think is amorphous to some degree. We play a lot with the One North partnership that I mentioned earlier, really focusing on that strategy element because consumer dollars are shrinking via inflation, via what we're heading into, and we have to create the best experience possible. We have to create an omnichannel experience to get our products or services to market. And if we're not looking at those as our core goals and we're looking at them as IT or technology challenges, we're not looking in the right place. >> Well, and businesses aren't going to be successful if they're looking at it in those siloed organizations. Data has to be democratizing and we've spent same data democratization for so long, but really, we're seeing that it has to be moving out into the lines of business because another thing Adam shared with John Furrier is that he sees and I'm curious what your thoughts are on this, the title of data analysts going away because everybody in different functions and different lines of business within an organization are going to have to be data analysts to some degree, to use data whether it's marketing, ops, sales, finance, are you seeing the same? >> That is true. I mean, at this point, we are all in the connected world, right? Every data point is connected in some form or shape to another data point. >> Savanna: There are many data points, just sitting here, yeah. >> Absolutely, so I think if you are strategizing, data needs to be right in the center of it. And then your business problems need to be addressed with reliable data. >> No, I mean, advertising, supply chain, marketing, they're all interconnected now, and we're looking at ways to bring a lot of that siloed data into one place so we can make use to it. It goes back to that monetization element of our data. >> That's a lot about context and situational awareness. We want what we want, when we want it, even before we knew we needed it then. I think I said that right. But you know, it's always more faster, quicker and then scaling things up. You see a lot of different customers across verticals, you have an absolutely massive team. Give us a sneak peek into 2023. What does the future hold? >> 2023 is again, to today's keynote, I'm bringing it back because it was a keynote filled with vision and limitless possibilities. And that's what we see. Right now, our customers, they are no longer scared to go and take the plunge into the cloud. And as Brandon said, it's all about being smart about those decisions. So, we are very excited that together with the partnership that we recently acquired and the services and the depth, along with the horizontal domain expertise, we can actually help customers make meaningful message out of their data points. And that keeps us really excited for next year. >> Love that, Brandon, what about you? >> I think the obvious one is DevOps and a focus on optimization, financially, security, et cetera, just for the changing times. The other one is, I still think that digital is going to continue to be a big push in 2023, namely making sure that experience is at its best, whether that's employee and combating the war on talent, keeping your people or opening new revenue streams, enhancing existing revenue streams. You got to keep working on that. >> We got to keep the people happy with the machines and the systems that we are building as we all know. But it's very nice, it's been a lot of human-centric focus and a lot of customer obsession here at the show. We know it's a big thing for you all, for Amazon, for pretty much everyone who sat here. Hopefully it is in general. Hopefully there's nobody who doesn't care about their community, we're not talking to them, if that's the case, we have a new challenge on theCUBE for the show, this year as we kind of prepped you for and can call it a bumper sticker, you can call it a 30 second sizzle reel. But this is sort of your Instagram moment, your TikTok, your thought of leadership highlight. What's the most important story coming out of the show? Srini, you've been quoting the keynotes very well, so, I'm going to you first on this one. >> I think overall, it's all about owning the change. In our TEKsystems culture, it's all about striving for excellence through serving others and owning the change. And so it makes me very excited that when we get that kind of keynote resonating the same message that we invite culturally, that's a big win-win for all the companies. >> It's all about the shared vision. A lot of people with similar vision in this room right now, in this room, like it's a room, it's a massive expo center, just to be clear, I'm sure everyone can see in the background. Brandon >> I would say partnership, continuing to enhance our strategic partnership with AWS, continuing to be our customers' partners in transformation. And bringing those two things together here has been a predominance of my time this week. And we'll continue throughout the week, but we're in it together with our customers and with AWS and looking forward to the future. >> Yeah, that's a beautiful note to end on there. Brandon, Srini, thank you both so much for being here with us. Fantastic to learn from your insights and to continue to emphasize on this theme of collaboration. We look forward to the next conversation with you. Thank all of you for tuning in wherever you happen to be hanging out and watching this fabulous live stream or the replay. We are here at AWS Reinvent 2022 in wonderful sunny Las Vegas, Nevada with Lisa Martin. My name is Savannah Peterson, we are theCUBE, the leading source for high tech coverage.

>> 10, nine, eight, (clears throat) four, three. >> Good afternoon, fellow cloud nerds and welcome back to AWS Reinvent 2022. We are live here from fabulous Las Vegas, Nevada. My name is Savannah Peterson, joined by Lisa Martin. So excited to be here Lisa, it's my first reinvent. >> Is it really? >> Yeah. >> I think it's only like my fourth or fifth. >> Only your fourth or fifth. >> Only. >> You're such a pro here. >> There's some serious veterans here in attendance that have been to all 11. >> I love that. >> Yeah. Wow, go them. I know, maybe we'll be at that level sooner. >> One day we will. >> Are you enjoying the show so far? >> Absolutely, it is. I cannot believe how many people are here. We've had 70,000 and we're only seeing what's at the foundation Expo Hall, not at the other hotel. So, I can only imagine. >> I mean, there's a world outside of this. >> Yes, and there's sunlight. There's actual sunlight outside of this room. >> Nobel idea. Well, Lisa, I'm very excited to be sitting here next to you and to welcome our fabulous guests, from TEKsystems, we have Brandon and Srini. Thank you so much for being here. How is the show going for you gentlemen so far? >> It's great. Lot of new insights and the customers are going to love what AWS is releasing in this reinvent. >> There is such a community here, and I love that vibe. It's similar to what we had at Cloud Native con in Detroit. So much collaboration going on. I assume most folks know a lot about TEKsystems who are watching, but just in case they don't, Brandon, give us the pitch. >> You bet. So full stack IT solutions firm, been in business for over 40 years, 80,000 global employees, really specializing in digital transformation, enterprise modernization services. We have partners in One Strategy, which is an an acquisition we made, but a well known premier partner in the Amazon partner ecosystem, as well as One North Interactive, who is our boutique brand, creative and digital strategy firm. So together, we really feel like we can bring full end-to-end solutions for digital and modernization initiatives. >> So, I saw some notes where TEKsystems are saying organizations need experienced AWS partners that are not afraid doing the dirty work of digital transformation, who really can advise and execute. Brandon, talk to us about how TEKsystems and AWS are working together to help customers on that journey which is nebulous of digital transformation. >> So, our real hallmark is the ability to scale. We partner with AWS in a lot of different ways. In fact, we just signed our strategic collaboration agreement. So, we're in the one percenter group in the whole partner network. >> Savanna: That's a pretty casual flex there. >> Not bad. >> I love that, top 1%, that no wonder you're wearing that partner pin so proud today. (speaking indistinctly) >> But we're working all the way on the advisory and working with their pro serve organization and then transforming that into large scale mass migration services, a lot of data modernization that Srini is an absolute expert in. I'm sure he can add some context too, but it's been a great partnership for many years now. >> In the keynote, Adam spent almost 52 minutes on data, right? So, it emphasizes how organizations are ready to take data to cloud and actually make meaningful insights and help their own customers come out of it by making meaningful decisions. So, we are glad to be part of this entire ecosystem. >> I love that you quantified how many minutes. >> I know. >> Talked about it, that was impressive. There's a little bit of data driven thinking going on here. >> I think so. >> Yeah. >> Well, we can't be at an event like this without talking about data for copious amounts of time, 52 minutes, has just used this morning. >> Right, absolutely. >> But every company these days has to be a data company. There's no choice to be successful, to thrive, to survive. I mean, even to thrive and grow, if it's a grocery store or your local gas station or what? You name it, that company has to be a data company. But the challenge of the data volume, the explosion in data is huge for organizations to really try to figure out and sift through what they have, where is all of it? How do we make sense of it? How do we act on it and get insights? That's a big challenge. How is TEKsystems helping customers tackle that challenge? >> Yeah, that's a great question because that's the whole fun of handling data. You need to ensure its meaning is first understood. So, we are not just dumping data into a storage place, but rather assign a meaningful context. In today's announcement, again, the data zone was unveiled to give meaning to data. And I think those are key concrete steps that we take to our customers as well with some good blueprints, methodical ways of approaching data and ultimately gaining business insights. >> And maybe I'll add just something real quick to that. The theme we're seeing and hearing a lot about is data monetization. So, technology companies have figured it out and used techniques to personalize things and get you ads, probably that you don't want half the time. But now all industries are really looking to do that. Looking at ways to open new revenue channels, looking at ways to drive a better customer experience, a better employee experience. We've got a ton of examples of that, Big Oil and Gas leveraging like well and machine data, coming in to be more efficient when they're pumping and moving commodities around. We work a lot in the medium entertainment space and so obviously, getting targeted ads to consumers during the right periods of TV or movies or et cetera. Especially with the advert on Netflix and all your streaming videos. So, it's been really interesting but we really see the future in leveraging data as one of your biggest corporate assets. >> Brilliant. >> So, I'm just curious on the ad thing, just real quick and I'll let you go, Lisa. So, do you still fall victim to falling for the advertising even though you know it's been strategically put there for you to consume in that moment? >> Most of the time. >> I mean, I think we all do. We're all, (indistinct), you're behind the curtain so to speak. >> The Amazon Truck shows up every day at my house, which is great, right? >> Hello again >> Same. >> But I think the power of it is you are giving the customer what they're looking for. >> That's it. >> And you know... >> Exactly. We have that expectation, we want it. >> 100%. >> We know that. >> Agree. >> We don't need to buy it. But technology has made it so easy to transact. That's like when developers started going to the cloud years ago, it was just, it was a swipe. It was so simple. Brandon, talk about the changes in cloud and cloud migration that TEKsystems has seen, particularly in the last couple of years as every company was rushing to go digital because they had to. >> So several years ago, we kind of pushed away that cloud first mentality to the side and we use more of a cloud smart kind of fashion, right? Does everything need to go to the cloud? No. Do applications, data, need to go to the cloud in a way that's modern and takes advantages of what the cloud can provide and all the new services that are being released this week and ongoing. So, the other thing we're seeing is initiatives that have traditionally been in the CTO, CIO organization aren't necessarily all that successful because we're seeing a complete misalignment between business goals and IT achievements, outcomes, et cetera. You can automate things, you can move it to the cloud, but if you didn't solve a core business problem or challenge, what'd you really do? >> Yeah, just to add on that, it's all about putting data and people together. And then how we can actually ensure the workforce is equally brought up to speed on these new technologies. That has been something that we have seen tremendous improvement in the last 24 months where customers are ready to take up new challenges and the end users are ready to learn something new and not just stick onto that status quo mindset. >> Where do you guys factor in to bringing in AWS in the customer's cloud journeys? What is that partnership like? >> We always first look for where the customer is in their cloud journey path and make sure we advise them with the right next steps. And AWS having its services across the spectrum makes it even easier for us to look at what business problem they're solving and then align it according to the process and technology so that at the end of the day, we want end user adoption. We don't want to build a fancy new gadget that no one uses. >> Just because you built it doesn't mean they'll come. And I think that's the classic engineering marketing dilemma as well as balance to healthy tension. I would say between both. You mentioned Srini, you mentioned workforce just a second ago. What sort of trends are you seeing in workforce development? >> Generally speaking, there are a lot of services now that can quantify your code for errors and then make sure that the code that you're pushing into production is well tested. So what we are trying to make sure is a healthy mix of trying to solve a business problem and asking the right questions. Like today, even in the keynote, it was all about how QuickSight, for example, has additional features now that tells why something happened. And that's the kind of mindset we want our end users to adopt. Not just restricting themselves to a reactive analytics, but rather ask the question why, why did it happen? Why did my sales go down? And I think those technologies and mindset shift is happening across the workforce. >> From a workforce development standpoint, we're seeing there's not enough workforce and the core skills of data, DevOps, standard cloud type work. So, we're actually an ATP advanced training partner, one of the few within the AWS network. So, we've developed programs like our Rising Talent Program that are allowing us to bring the workforce up to the skills that are necessary in this new world. So, it's a more build versus buy strategy because we're on talents real, though it may start to wane a little bit as we change the macroeconomic outlook in 2023, but it's still there. And we still believe that building those workforce and investing in your people is the right thing to do. >> It is, and I think there's a strong alignment there with AWS and their focus on that as well. I wanted to ask you, Brandon. >> Brandon: Absolutely. >> One of the things, so our boss, John Furrier, the co CEO of theCUBE, talked with Adam Selipsky just a week or maybe 10 days ago. He always gets an exclusive interview with the CEO of AWS before reinvent, and one of the things that Adam shared with him is that customers, CEOs and CIOs are not coming to Adam, to this head of AWS to talk about technology, they want to talk about transformation. He's talking about... >> The topic this year. >> Moving away from amorphous topic of digital transformation to business transformation. Are you seeing the same thing in your customer? >> 100%, and if you're not starting at the business level, these initiatives are going to fail. We see it all the time. Again, it's about that misalignment and there's no good answer to that. But digital, I think is amorphous to some degree. We play a lot with the One North partnership that I mentioned earlier, really focusing on that strategy element because consumer dollars are shrinking via inflation, via what we're heading into, and we have to create the best experience possible. We have to create an omnichannel experience to get our products or services to market. And if we're not looking at those as our core goals and we're looking at them as IT or technology challenges, we're not looking in the right place. >> Well, and businesses aren't going to be successful if they're looking at it in those siloed organizations. Data has to be democratizing and we've spent same data democratization for so long, but really, we're seeing that it has to be moving out into the lines of business because another thing Adam shared with John Furrier is that he sees and I'm curious what your thoughts are on this, the title of data analysts going away because everybody in different functions and different lines of business within an organization are going to have to be data analysts to some degree, to use data whether it's marketing, ops, sales, finance, are you seeing the same? >> That is true. I mean, at this point, we are all in the connected world, right? Every data point is connected in some form or shape to another data point. >> Savanna: There are many data points, just sitting here, yeah. >> Absolutely, so I think if you are strategizing, data needs to be right in the center of it. And then your business problems need to be addressed with reliable data. >> No, I mean, advertising, supply chain, marketing, they're all interconnected now, and we're looking at ways to bring a lot of that siloed data into one place so we can make use to it. It goes back to that monetization element of our data. >> That's a lot about context and situational awareness. We want what we want, when we want it, even before we knew we needed it then. I think I said that right. But you know, it's always more faster, quicker and then scaling things up. You see a lot of different customers across verticals, you have an absolutely massive team. Give us a sneak peek into 2023. What does the future hold? >> 2023 is again, to today's keynote, I'm bringing it back because it was a keynote filled with vision and limitless possibilities. And that's what we see. Right now, our customers, they are no longer scared to go and take the plunge into the cloud. And as Brandon said, it's all about being smart about those decisions. So, we are very excited that together with the partnership that we recently acquired and the services and the depth, along with the horizontal domain expertise, we can actually help customers make meaningful message out of their data points. And that keeps us really excited for next year. >> Love that, Brandon, what about you? >> I think the obvious one is DevOps and a focus on optimization, financially, security, et cetera, just for the changing times. The other one is, I still think that digital is going to continue to be a big push in 2023, namely making sure that experience is at its best, whether that's employee and combating the war on talent, keeping your people or opening new revenue streams, enhancing existing revenue streams. You got to keep working on that. >> We got to keep the people happy with the machines and the systems that we are building as we all know. But it's very nice, it's been a lot of human-centric focus and a lot of customer obsession here at the show. We know it's a big thing for you all, for Amazon, for pretty much everyone who sat here. Hopefully it is in general. Hopefully there's nobody who doesn't care about their community, we're not talking to them, if that's the case, we have a new challenge on theCUBE for the show, this year as we kind of prepped you for and can call it a bumper sticker, you can call it a 30 second sizzle reel. But this is sort of your Instagram moment, your TikTok, your thought of leadership highlight. What's the most important story coming out of the show? Srini, you've been quoting the keynotes very well, so, I'm going to you first on this one. >> I think overall, it's all about owning the change. In our TEKsystems culture, it's all about striving for excellence through serving others and owning the change. And so it makes me very excited that when we get that kind of keynote resonating the same message that we invite culturally, that's a big win-win for all the companies. >> It's all about the shared vision. A lot of people with similar vision in this room right now, in this room, like it's a room, it's a massive expo center, just to be clear, I'm sure everyone can see in the background. Brandon >> I would say partnership, continuing to enhance our strategic partnership with AWS, continuing to be our customers' partners in transformation. And bringing those two things together here has been a predominance of my time this week. And we'll continue throughout the week, but we're in it together with our customers and with AWS and looking forward to the future. >> Yeah, that's a beautiful note to end on there. Brandon, Srini, thank you both so much for being here with us. Fantastic to learn from your insights and to continue to emphasize on this theme of collaboration. We look forward to the next conversation with you. Thank all of you for tuning in wherever you happen to be hanging out and watching this fabulous live stream or the replay. We are here at AWS Reinvent 2022 in wonderful sunny Las Vegas, Nevada with Lisa Martin. My name is Savannah Peterson, we are theCUBE, the leading source for high tech coverage.

>> Announcer: theCUBE presents "Dell Technologies World," brought to you by Dell. >> Hey, everyone. Welcome back to theCUBE's coverage of day one of "Dell Technologies World 2022" live from the Venetian in Las Vegas. They're excited. I dunno if you heard that, a group behind me very excited to be here. Lisa Martin, Dave Vellante. We're very pleased to welcome Jules Johnston, the SVP of channel from Equinix. Jules, welcome to the program. >> Thank you for having me. I appreciate it. >> And those people back there are very excited, if you heard that big applause when we went live. (Jules laughing) So the vibe here is fantastic for the first live "Dell Technologies World" since 2019. A lot of people here, this Expo Hall is packed. A lot of momentum here, but there's also a lot of momentum at Equinix. Talk to us about what's going on. >> Well, so many exciting things for Equinix and this partnership of Dell sort of gives us a chance to share that with partners here throughout the conference. So we are very excited, as you said about and we just were named to the Fortune 500 this year, 77 quarters of growth consecutively. But underpinning that is having made huge investments in what is the world's largest footprint of global data centers, 240 of them on six continents in 66 markets but then interconnecting them. So they have the connections that Dell customers need to the clouds. They have the connections that they need to all of the future SaaS providers. So that foresight to put together that interconnection network across our footprint has set us on the path we're on today, which we're very grateful to be at in. And really, the things that are happening with Equinix and Dell together couldn't be more of the moment. >> Talk to me about the last two years. The moments of the last two years have been very challenging >> They have. >> For everyone. How has the partnership evolved in that time? >> Well, we, together, Dell and Equinix, what we're doing is really helping our shared interface customers navigate the complexities of their digital transformation. And digital transformation is hard. It's not a one and done and it's not an overnight solution. And so, what we are doing is partnering with Dell to think about putting a dedicated Dell IT stack in an Equinix data center to give customers that sovereign adjacency so that they can have that security proximate to all the clouds and everything else they need to participate in the ecosystem. And then pairing that with these interconnected enterprises. So, Dell and we are helping customers then be able to have some of their solution on-prem, some of their solution in the cloud, access public clouds and use that collectively to define what we're calling the intelligent edge, together. And that intelligent edge means so many different things to customers but it is really our honor to work together with Dell to help each customer define that for themselves. >> Equinix is an amazing company. Like you said, it's... I didn't realize it was that many consecutive quarters but it's a 60 billion plus market cap. If you look at the stock chart, it'll blow your mind. Really incredibly successful. And part of the reason... It's funny, 10, 15 years ago, people thought, well... Or, 10 years ago, anyway, the cloud is going to hurt companies like Equinix. It was the exact opposite. And that's because Charles Phillips used to joke, "Friends don't let friends build data centers." >> Yes. >> And it's not a good use of capital for most companies, unless you're in the data center business. Now, of course, you have some of your own as a service offerings. >> We do. >> What's the overlap with Dell? How do they compliment each other? >> It's a good question because... And we get that. Are you and Dell in fact competitors? No, we see them as wholly complimentary. And in fact, we're working with Dell to bring to market things like something we call PowerEdge, which involves their servers. And PowerStore, which involves their storage, and then VxRail, which is really the hyper-converged infrastructure. And those are just a few first of a series of offerings we expect to bring to market with Dell. And if you think about Metal, and it's Equinix Metal that people sometimes think is a competitor, but what Metal does for customers is it really allows them to advance, have the equipment placed in our data centers so that they can access that capacity and according to spikes or needs that they have. That equipment in our data centers that's there for them to avail themselves of that capacity is most often Dell equipment. So we are really doing and executing that bare Metal as a service together. >> What are some of the things that you're hearing from your partner community, in terms of the partnership with Dell? Partners must be excited, the momentum there. What's going on in the partner community? >> So, that's what's near and dear to my heart since that's what I'm responsible for, Equinix's global partnerships. And they're just very excited about what we're doing with Dell. And to be honest with you, all of our top partners are also top partners of Dell. So it makes sense that we bring it together. So, big categories of partners like the world's largest global network service providers, some of whom are here and who we'll meet with, AT&T, Orange Business Services, those folks in addition to the world's largest global systems integrators, Kendra, Deloitte, Accenture, WiPro, DXC. All of these are partners that Dell and we will meet with together to further our, what we call Power of Three, that together we're better. Because as much as Dell and Equinix are delivering, the customers most often don't have the experience they need to execute it without a partner. So they are relying on those partners to take what we are doing and make it their own. And so, they're excited about it. You see, it's a big opportunity for them from a... Of revenue services and an opportunity for them to step into a next level trusted advisor status. So partners are excited and we're going to be spending a lot of time with them the next few days. >> Do you see Equinix... 'Cause these partnerships are not bespoke partnerships. It's an ecosystem that's organic and evolving and growing. Are you a dot connector in a way? Can it be a flywheel effect in your ecosystem? >> Well, so our ecosystems that we provide, wide range of those from high frequency trading to connected cars, to the internet of things and content providers, we do see it as our role to the 10,000 and growing customers that are in our 240 data centers on six continents that provide those ecosystems. It is our mission to continue to grow that, enrich it, because that does differentiate us greatly from another data center provider. And it's the combination of the ecosystem that you'd find and the people you can connect to at Equinix. And then also the leverage of our fabric in order to be able to access your future needs. >> And it's a lot of technology underneath these. It's that first layer one, I guess, if you will, of the data center, right? And so, a lot of your customers or your partner's customers, they just don't want to be in that business as we were saying before. I mean, it's just too expensive. The power requirements are going through the roof. So you got to be really good at managing power. >> You do. In fact... So first of all, you're right. It's extremely difficult for them to also be able to make that commitment to keep a data center they would manage themselves at the level that Equinix is able to invest. So it's very difficult for people to do it themselves. But even show... Another point you mentioned actually about the power, is near and dear to our hearts because Equinix is super committed to sustainability. And so we've made a commitment to wholly renewable energy. And it's something that we talk a lot about how we also help partners like Dell meet their initiatives. So partners like AT&T meet their connected climate goals. So we are actually using that and coming together with Dell on that story, and then helping to amplify that with our partners. >> And that's... How do you do that? That's putting data centers where you can cool with ambient air. Is it being near the Columbia River? What's your strategy in that regard? >> On sustainable... I have to be honest to you. I would be out of my depth if I didn't say... >> This is the high level, yeah. >> So we are deploying some of the latest technologies about that and then experts people who, all they do is really help us to reduce the carbon footprint and be able to offset that, be able to use solar, be able to use wind, be able to take advantage of that. And then also to navigate what's available when you're in 240 locations on six continents. It's not the same options to reduce your power consumption and your burden are different in Africa as we just discovered with our main one acquisition than they are in India or than they are in other parts of the world. So it is for us a journey, and we've been assembling a lot of the talent to do that, >> But you're so large now, even a small percentage improvement can really move the needle. >> And I think because we are the largest, it is incumbent upon us to really set the standard and be committed to it. And we do see other people following, which is a good thing for all of us. >> Well, how important is that in your partnership conversations. That partners have that same focus and commitment on ESG that Equinix has. >> Partners care a lot about it, but customers ask us both all the time. We increasingly see a portion of an RFP or scope of work asking, "Before I decide to go with Equinix and Dell, tell me how you're going to impact the environment. Tell me about your commitment." And so, we are committed to it, but customers are demanding it too. >> So it's... >> Where do you... Go ahead please. >> Oh, I was just going to say, it's coming from the voice of the customer, which Equinix is listening to, we know Dell is listening to it as well. >> I'm sorry, one more time. >> That the sustainability, the ESG demand is coming from the customers, as you were saying. >> Both. I mean, we want to do the right thing and we've made commitments to it, but our customers are holding us accountable to it. And sustainability is now a board level priority. It is for us. And it is for companies like Dell and it is for partners and customers. >> It really is... It's up there with security in terms of the board level conversation. Where do you want to see the partner ecosystem in the next let's call it three to five years. In your business you can look out that far. >> Well, I think that our partners and by that I mean Dell's and our mutual partners, We've been listening to customers with Dell to deliver a flexible set of options for how customers would consume Equinix and Dell. So our partners are going to be integrating a variety of those in order to meet the customer where they are in that journey. Whether they want to buy Apex as a service, whether they want to buy Equinix Metal, whether they want to have a partner put together bespoke, do-it-yourself combination with other services. I mean, the customers are going to demand a choice of options. I think partners are going to embrace multiple versions of that so that they can to meet the customer where they are and take them. >> Well. That's incredibly important these days to meet the customer where they are, the customers have a lot of choice. >> It is. >> But everything that we're all doing is for the customer ultimately at the end of the day. >> Yes, it is. And you know, the customers are getting savvier, but we are all still early in this journey as far as the edge. I think we are all still grappling that. Right now we like to say that as customers are looking to define that, the footprint that we offer together with Dell gives them an awfully robust set of choices for now. And then we want to continue to invest and expand to be wherever they need us. >> Well, that's the thing about your business? It's optionality. I mean, the cloud has a lot of stuff, but you can't get everything you want in the cloud. >> Jules: You can, >> And you can put anything in your data center. That's IT. >> You can, but you may not know what you need yet. And so that's one of the things we spend a lot of time having our solutions, architects and our sales to people together, but they'll talk about future proofing, their strategy. So future proofing, that combination of on-prem and in an Equinix data center, and maybe some public and future proofing, leveraging our fabric so that they might elect different SaaS space services or cloud-based services a year to five years from now than they are even thinking about today. And, they may expand their edge over time, because they may see that as at the customer end point. Today, most businesses are still using a footprint like ours as their edge, but that could change. And so we want to be there when it does. >> Yeah. That's a great point because you don't want to necessarily have to rip it out every co couple of years. If you can have an architecture that can grow. Yeah, sure. You might want to upgrade it. >> Well, and that's one of the most appealing things about services like Metal where they also do prevent that sort of rip and replace, but they also help people navigate the supply chain shortages that are going on right now. So this has been a trying two years for supply chain shortages. And being able to take advantage of Dell equipment already staged at an Equinix data center and partners can then bring their customers a quicker immediate response. >> Have you also seen this? You mentioned the supply chain shortages, some of the many challenges that we've experienced in a last few years. How much of a factor has the great resignation been? The labor shortages, the cybersecurity skills gap, on folks coming to Equinix saying, "Help, we don't have the resources here to do this ourselves." >> We have been fortunate to be... If you're asking me how the reservation has affected us as a company. >> No your customers. >> Oh customers it has. Oh, okay I get it. So it is a challenge for them, but it's an opportunity for our partners. So what I see there is it's been challenging for customers to hold onto that talent, but partners are filling that gap. And we with Equinix being forced to hold onto a lot of our best and brightest. And so we put them together with our partners and we try to help customers fill those gaps. >> Well that's the most important thing, filling those gaps. >> You ever been inside one of these ultra modern data centers? >> I have not, not yet. It's pretty cool, isn't it? >> Have you ever had a tour of one? >> I've never had a tour of an Equinix data center, but I've seen some modern data centers that will blow your mind? >> Well, they come with all the requisite biometrics and man traps and all of the sort of bells and whistles that are actually the first slay of physical security, but then once you get into the data center, then we get into the virtual and the digital security that you would expect. >> Yeah, it's good. And you know, it's not like you drive by the data center, and there's a big sign that says, here's the data center. They're trying to stay a little hidden and then like getting in, it's like getting into Fort Knox. It's probably harder. And then, but then the it's like this giant clean room. It's amazingly clean and just huge. It'll blow your mind. >> And inside the data centers, all the world's networks come together and peer, and then we have inside their, the most direct roam reps to the cloud. So you would expect there's a lot of wires and pipes running very neatly through a very secure clean... >> Cooling systems and power systems that are just... >> Pristine environment for sure. >> Amazing engineering. >> It is really. >> We need a tour. >> Do you let people tour your data center? >> I will bring both of you on a tour. >> Awesome. >> Be my guests. >> I would love to. Great. >> Sounds fantastic. Would love to. >> We'll bring a camera. (laughing) Oh, no, we're not allowed. >> Not today. >> No phones, no phones sequester. So what are some of the things that you're excited about seeing and hearing the next couple of days as this is the first time we've all gotten to be together in so long? >> We are excited about the conversations that we're going to have, power of three that I was talking about. So, we really pride ourselves on having that combination add up to more to benefit the customer. And so this will be sort of a coming out party of sorts. Equinix and Dell will meet with almost 20 different global partners that are really important to both of us. So I am most excited about those conversations and about the education I'm going to get on the ways they're thinking about integrating it differently, because that is good choice for the market. That is good choice for the customer set, for the enterprises out there. So that's what I'm most excited about. >> Awesome, sounds like tremendous opportunity, lots going on this week. But thank you for coming on Jules, >> Oh my pleasure, thank you. talking about... >> How Equinix and Dell better together, the way that your channel partner program is growing and of course the momentum of the company. Can't wait to see what happens next year. >> Thank you. Thank you. Well, we will aim to deliver and thank you again for having us. >> Thanks Jules. >> Our pleasure. For Dave Vellante, I'm Lisa Martin and you're watching theCUBE's live coverage day one, "Dell Technologies World" live from Las Vegas. Stick around, we'll be right back with our next guest. (slow upbeat music)

>> theCUBE presents Dell Technologies World, brought to you by Dell. >> Hey everyone. Welcome back to theCUBE's coverage of day one of Dell Technologies World 2022 Live from the Venetian in Las Vegas. They're excited I dunno if you heard that. A group behind me very excited to be here. Lisa Martin, Dave Vallante. We're very pleased to welcome Jules Johnston, the SVP of channel from Equinix. Jules, welcome to the program. >> Thank you for having me. I appreciate it. >> And those people back there are very excited if you heard that. Big applause going went live. So the vibe here is fantastic for the first live Dell Technologies World since 2019, a lot of people here, this expo hall is packed, lot of momentum here but there's also a lot of momentum at Equinix. Talk to us about what's going on. >> Well, you know, so many exciting things for Equinix and, you know, in this partnership of Dell, it sort of gives us a chance to share that with partners here throughout the conference. So we are very excited, as you said about, and we just, we named to the Fortune 500 this year, 77 quarters of growth consecutively but underpinning that is having made huge investments in what is the world's largest footprint of global data centers, 240 of them on six continents in 66 markets, but then interconnecting them so they have the connections that Dell customers need to the clouds, they have the connections that they need to all of the future SaaS providers. So that foresight to put together that interconnection network across our footprint, has set us on the path we're on today which we're very grateful to be at in and really the things that are happening with Equinix and Dell together couldn't be more of the moment. >> Talk to me about that. The last two years, the moments of the last two years have been very challenging. >> They have been. >> For everyone. How has the partnership evolved in that time? >> Well, you know, we at together, Dell and Equinix what we're doing is really helping our shared interface customers navigate the complexities of their digital transformation and digital transformation is hard, it's not of one and done and it's not an overnight solution and so what we are doing is partnering with Dell to think about putting a dedicated Dell IT stack in an Equinix data center, to give customers that sovereign adjacency so that they can have that security proximate to our all the clouds and everything else they need to participate in the ecosystem and then pairing that with, you know these interconnected enterprises. So Dell and we are helping customers then be able to have some of their solution OnPrem, some of their solution in the cloud, access public clouds and use that collectively to define what we're calling the intelligent edge together and that intelligent edge means so many different things to customers, but it is really our honor to work together with Dell to help each customer define that for themselves. >> Eqiuinix's an amazing company, like you said, I didn't realize it was that many consecutive quarters but it's a 60 billion plus market cap. If you look at the stock chart it'll blow your mind, really incredibly successful and part of the reason is funny, you know, 10, 15 years ago people thought, well, oh, 10 years ago anyway, the cloud is going to hurt companies like Equinix. It was exact opposite and that's because, you know Charles Phillips used to joke, friends don't let friends build data centers. >> Yes. >> Right? And it's not a good use of capital for most companies unless you're in the data center business. Now, of course you have some of your own as a service offerings. >> We do. >> What's the overlap with Dell? How do they compliment each other? >> It's a good question because, you know, and we get that are you and Dell in fact competitors? And no we see them as wholly complimentary and in fact, we're working with Dell to bring to market things like something we call PowerEdge which involves their servers and PowerStore which involves their storage and then VxRail which is really the hyperconverged infrastructure and those are a few first of a series of offerings we expect to bring to market with Dell and if you think about metal and it's Equinix Metal that people sometimes think is a competitor, but what metal does for customers is it really allows them to advance have the equipment placed in our data center so that they can access that capacity and according to spikes or needs that they have. That equipment in our data centers that's there for them to avail themselves to that capacity is most often Dell equipment. So we are really doing and executing that bare metal as a service together. >> What are some of the things that you're hearing from your partner community in terms of the partnership with Dell? Are partners must be excited the momentum there. What's going on in the partner community? >> So, you know, that's what near and dear to my heart since that's what I'm responsible for Equinix's global partnerships, and they are very excited about what we're doing with Dell and to be honest with you, all of our top partners are also top partners of Dell so it makes sense that we bring it together. So, you know, big categories of partners like the world's largest global network service providers, some of whom are here and who we'll meet with the AT&T, Orange Business Services, those folks in addition to the world's largest global systems integrators, Kyndryl, Deloitte, Accenture, Wipro all, DXC, all of these are partners that Dell and we will meet with together to further our, what we call power three that together we're better because as much as Dell and Equinix are delivering, the customers most often don't have the experience they need to execute it without a partner so they are relying on those partners to take what we are doing and make it their own and so if they're excited about it, it's a big opportunity for them from a revenue services and an opportunity for them to step into a next level trusted advisor status so partners are excited and we're going to be spending a lot of time with them the next few days. >> Do you see Equinix, you know, 'cause these partnerships are not bespoke partnerships, it's an ecosystem that's organic and evolving and growing. Are you a dot connector in a way? Can it be a flywheel effect in your ecosystem? >> Well, so our ecosystems that we provide wide range of those from high frequency trading to connected cars, to the internet, things many and content providers that we are, we do see it as our role to, you know, the 10,000 and growing customers that are in our 240 data centers on six continents that provide those ecosystems, it is our mission to continue to grow that and enrich it because that does differentiate us greatly from another data center provider and it's the combination of the ecosystem that you find and the people you can connect to at Equinix and then also the leverage of our fabric in order to be able to access your future needs. >> And there's a lot of technology underneath these, it's that first layer one I guess if you will of the data center, right? And so a lot of your customers or your partners customers, they just don't want to be in that business as we were saying before, I mean it's just too expensive, the power requirements are going through the roof so you got to be really good at managing power. >> You do. In fact, you know, so first of all, you're right, it's extremely difficult for them to also be able to make that kind of commitment to keep a data center they would manage themselves at the level that Equinix is able to invest so it's very difficult for people to do it themselves but even show, another point you mentioned actually about the power is near and dear to our hearts because Equinix is super committed to sustainability and so we've made a commitment to wholly renewable energy and it's something that we talk a lot about how we also help partners like Dell meet their initiatives or partners like AT&T meet their connected climate goals. So we are actually using that and coming together with Dell on that story, so that, and then helping to amplify that with our partners. >> And that's, how do you do that? That's putting data centers where you can cool with ambient air or is it being near the Columbia River? What's your strategy in that regard? >> It's sustainable. I have to be honest to you. I would be out of my depth if I didn't say. >> This is at high level. >> So we are deploying some of the latest technologies about that and then experts. People who, you know who all they do is really help us to reduce the carbon footprint and be able to offset that, be able to use solar, be able to use wind, be able to take advantage of that and then also to navigate what's available when you're in 240 locations on six continents it's not the same options to reduce your power consumption and your burden are different in Africa as we just discovered with our main one acquisition than they are in India or than they are in other parts of the world. So it is for us a journey and we've been assembling a lot of the talent to do that. >> But you're so large now, even a small percentage improvement can really move the needle. >> And I think because we are the largest, it is incumbent upon us to really set the standard and be committed to it and we do see other people following which is a good thing for all of us. >> Well how important is that in your partnership conversations that partners have that same focus and commitment on ESG that Equinix has? >> Partners care a lot about it but customers ask us both all the time. I mean, we increasingly see a portion of an RFP or a scope of work asking, before I decide to go with Equinix and Dell, tell me how you're going to impact the environment, tell me about your commitment and so we are committed to it but customers are demanding it too. >> So it's com-- >> Where do you. Go ahead please. >> Oh I was just going to say, it's coming from the voice of the customer which EquinIx is listening to we know Dell is listening to it as well. >> I'm sorry one more time? >> That the sustainability of the ESG demand is coming from the customers you were saying? >> It both, like I mean, we want to do the right thing and we've made commitments to it but our customers are holding us accountable to it and, you know, sustainability is now a board level priority. It is for us and it is for companies like Dell and it is for our partners and customers. >> It really is. I mean, it's up there with security. >> It is. >> In terms of the board level conversation. Where do you want to see the partner ecosystem in the next, let's call it three to five years? In your business you can look out that far. >> Well, you know, I think that they, our partners, and that I mean Dell's and our mutual partners, you know, we've been listening to customers with Dell to deliver a flexible set of options for how customers would consume Equinix and Dell so our partners are going to be integrating a variety of those in order to meet the customer where they are in that journey, whether they want to buy Apex as a service, whether they want to buy Equinix Metal, whether they want to have a partner put together bespoke do it yourself combination with other services. I mean, the customers are going to demand a choice of options. I think partners are going to embrace multiple versions of that so that they can, you know, to meet the customer where they are and take them. >> Well that's incredibly important these days to meet the customer where they are. The customers have a lot of choice. >> It is. >> But everything that we're all doing is for the customer ultimately at the end of the day. >> Yes, it is and, you know, the customers are getting savvier but we are all still early in this journey, as far as the edge, you know, I mean, I think we're all still grappling that. For right now we like to say that as customers are looking to define that, the footprint that we offer together with Dell gives them an awfully robust set of choices for now and then we want to continue to invest and expand to be wherever they need us. >> Well that's the thing about your business, it's optionality. I mean, the cloud has a lot of stuff but you can't get everything you want in the cloud. >> You can. >> And you can put anything in your data center, that's IT. >> You can, but you may not know what you need yet and so that's one of the things we spend a lot of time having our solutions architects and our sales people together with Dell talk about future proofing, their strategy. So future proofing, that combination of OnPrem and in an Equinix data center and maybe some public and future proofing, leveraging our fabric so that they might elect different SaaS space services or cloud-based services a year to five years from now than the year you're even thinking about today and they may expand their edge over time because they may sort of see that at the customer end point. Today most businesses are still sort of using a footprint like ours as their edge, but that could change and so we want to be there when it does. >> Yeah, that's a great point because you don't want to necessarily have to rip it out every couple of years if you can have an architecture that can grow. Yeah sure, you might want to upgrade it. >> Well, and that's one of the most appealing things about services like metal, where they also, they do sort of prevent that sort of rip and replace but they also help people navigate the supply chain shortages that are going on right now. So you know, this has been a trying two years for supply chain shortages, and being able to take advantage of Dell equipment already staged at an Equinix data center and partners can then bring their customers a quicker immediate response. >> Have you also seen this, you mentioned the supply chain shortages, some of the many challenges that we've experienced in the last few years, how much of a factor has the great resignation been? The labor shortages, the cybersecurity skills gap, on folks coming to Equinix saying help, we don't have the resources here to do this ourselves? >> We have been fortunate to to be... If you're asking about how the reservation has affected us as a company. >> No your customers. >> Oh our customers it has. >> Yes. >> Oh, okay. >> Yes. >> So it is a challenge for them but it's an opportunity for our partners. So what I see there is it's been challenging for customers to hold onto that talent but partners are filling that gap and we've at Equinix have been fortunate to hold onto a lot of our best and brightest and so we put them together with our partners and we try to help customers fill those gaps. >> Well that's the most important thing, filling those gaps. >> You ever been inside one of these ultra modern data centers? >> I have not, not yet. >> It's pretty cool, isn't it? I mean-- >> Have you ever had a tour of one? >> I've never had a tour of an Equinix data center, but I've seen some modern data centers that will blow your mind. >> Well I mean, they come with all the requisite, bio metrics and man traps and all of the sort bells and whistles that are actually the first layer of physical security, but then once you get into the data center then we have sort of, we get into the virtual and the digital security that you would expect. So it's-- >> Yeah, it's good and you know, it's not like you drive by the data center and there's a big sign that says here's the data center, it is kind of, they're trying to stay a little hidden and then it's, getting in it's like getting into fork knots. It's probably harder but then, it's like this giant clean room, right? It's amazingly clean and just huge. It'll blow your mind. >> Inside these data centers, all the world's networks come together and peer, and then we have inside the most direct RomReps to the cloud so you would expect. There's a lot of wires and pipes running very neatly through a very secure, clean-- >> Cooling systems and power systems and it's just. >> Pristine environment for sure. >> Amazing engineering. >> It is. >> So I need a tour. >> You should. Do you let people tour your data centers? >> Well I will bring both of you on a tour. >> Awesome. >> Be my guests. >> I would love to. Yeah, great. >> It sounds fantastic. >> We'd love to. >> So last couple-- >> We'll bring a camera. (both laugh) Oh, no, not allowed. >> Not today. No phones, no phones sequester. >> So what are some of the things that you're excited about seeing and hearing the next couple of days as this is the first time we we've all gotten to be together in so long? >> So well, you know, we are excited about the conversations that we're going to have power of three that I was talking about. So you know, we really pride ourselves on sort of having that combination add up to more to benefit the customer and so this will be sort of a coming out party of sorts for Equinix and Dell will meet with, you know almost 20 different global partners that are really important to both of us so I am most excited about those conversations and about the education I'm going to get on the ways they're thinking about integrating it differently because that is good choice for the market, that is good choice for the customer set so for the enterprises out there so that's what I'm most excited about. >> Awesome, sounds like tremendous opportunity, lots going on this week, but thank you for coming on Jules talking about-- >> Oh, my pleasure >> An hour of Equinix and Dell better together, the way that your channel partner, your program is growing and of course the momentum of the company. Can't wait to see what happens next year. >> Thank you. Thank you, we will aim to deliver and thank you again for having us. >> Thanks Jules. >> Our pleasure. For Dave Vallante, I'm Lisa Martin and you're watching theCUBE's Live Coverage day one Dell Technologies World Live from Las Vegas. Stick around, we'll be right back with our next guest. (upbeat music)

>>The cube presents, Dell technologies world brought to you by Dell. >>Hey everyone. Welcome back to the cubes coverage of day. One of Dell technologies world 2022. Live from the Venetian in Las Vegas. They're excited. I dunno if you heard that a group behind me, very excited to be here. Lisa Martin, Dave ante. We're very pleased to welcome Jules Johns SVP of channel from McQuin. Jill, welcome to the program. >>Thank you for having me. I appreciate it. >>And those people back there are very excited. If you heard that big applause >>That >>Went live <laugh> so the, the vibe here is fantastic for the first live Dell technologies world since 2019. A lot of people here, this expo hall is packed a lot of, of momentum here, but there's also a lot of momentum critics. Talk to us about what's going on. >>Well, and you know, so, so many exciting things for Equinex and, you know, in this partnership of Dell, it gives us a chance to, to share that, uh, with partners here throughout the conference. So we are very excited, as you said about, and we just, we named to the fortune 500 this year, 77 quarters of growth consecutively, but underpinning that is having made huge investments in what is the world's largest footprint of global data centers, 240 of them on six continent in 66 markets, but then interconnecting them. So they have the connections that Dell customers need to the clouds. They have the connections that they need to all of the future SaaS providers, so that foresight to put together that interconnection network across our footprint has set us on the path we're on today, which we're very grateful, um, to be at in. And, and really this, the things that are happening with Equinex and Dell together can, couldn't be more of the moment. >>Talk to me about that. The, the last two years, the moments of the last two years have been very challenging. They have for everyone. How has the partnership evolved in that time? >>Well, you know, we at together, Dell and Equinix, what we're doing is really helping, helping our shared interface, customers navigate the complexities of their digital transformation and, and digital transformation is hard and it's not a one and done, and it's not an overnight solution. And so what we are doing is partnering with Dell to think about putting a dedicated Dell it stack in an Equinex data center to give customers that sovereign adjacency so that they can have that security proximate to our, all the clouds and, and, and all, everything else. They need to participate in the ecosystem. And then pairing that with, you know, these interconnected enterprises. So Dell and we are helping customers then be able to have some of their solution on Preem some of their solution in the cloud access, public clouds, and use that collectively to diff fine. We're calling the intelligent edge together. And that intelligent edge means so many different things to customers, but it is really our honor to work together with Dell to help each customer define that for themselves. >>E's amazing company, like you said, it's, it's, you know, I didn't realize it was that many consecutive quarters, but it's a 60 billion plus market cap. If you look at the stock chart, blow your mind, really incredibly successful. And part of the reason it's funny, you know, 10, 15 years ago, people thought, well, oh, 10 years ago, anyway, the cloud is gonna hurt companies like equity. It was exact opposite it. And, and that's because, you know, Charles Phillips used to joke friends. Don't let friends build data centers. Yes. Right. And, and it's not a good use of capital for most companies, unless you're in the data center business. Now, of course you have some of your own as a service offerings. We do. What's the overlap with, with Dell? How do they compliment each other? It, >>It's a good question because, you know, and we get that, are you and Dell in fact competitors, and no, we see them as who complimentary. And in fact, we're working with Dell to bring to market things like something we call power edge, which involves their servers and power store, which involves their storage. And, and then V RIL, which is really the hyperconverged infrastructure. And those are just few first of a series of offerings we expect to bring to market with Dell. And if you think about metal and, and it's Equinex metal that people sometimes think is a competitor, but what metal does for customers is it really allows them to advance, have the equipment placed in our data centers so that they can access that capacity. And according to spikes or needs that they have that equipment in our data centers, that's there for them to avail themselves of that capacity is most often Dell equipment. So we are really doing and executing that bare metal is a service together. >>What are some of the, the things that you're hearing from, from your partner community, in terms of the partnership with Dell, what are partners supposed be excited, the momentum there what's going on in the partner community? >>So, you know, that is that's, that's what near and dear to my heart, since that's what I'm responsible for. Equinex is global partnerships, and they are very excited about what we're doing with Dell. And to be honest with you, all of our top partners are also top partners of Dell. So it makes that we bring it together. So, you know, big categories of partners like the world's largest global network service providers, some of whom are here and who will meet with the at T orange business services. Those folks, in addition to the world's largest global systems integrators, Kendra, Deloitte, Accenture, we pro, uh, all DXC. All of these are partners that Dell and we will meet with together to further our, what we call power three, that together we're better because as much as Dell and Equinex are delivering the customers, most often don't have the experience. They need to execute it without a partner. So they are relying on those partners to take what we are doing and make it their own. And so, so if they're excited about it, it is a, it's a big opportunity for them from a, a revenue services, a and an opportunity for them to step into a next level, trusted advisor status. So partners are excited and, and we're gonna be spending a lot of time with them the next few days. Do you >>See Equinix? You know, these cuz these partnerships are not bespoke partnerships, it's an ecosystem that's organic and evolving and, and growing. Can it be, are you a dot connector in a way, can it be a flywheel effect in your ecosystem? >>Well, I mean our, so our E ecosystems that, um, that we provide wide range of those from high frequency trading to connected cars, um, to the internet things, many and content providers that we are, we do see it as our role to, you know, the 10,000 and growing customers that are in our 240 data centers and six continents that provide those ecosystems. It's, it is our mission to continue to grow that and enrich it because that does differentiate us greatly from another data center provider. And it's the combination of the ecosystem that you find and the people you can connect to at Equinex, and then also the leverage of our fabric in order to be able to access your future needs. >>And it's a lot of technology underneath these, you know, it's that first layer one, I guess, if you will, of the data center, right. And so a lot of your, your customers or your cus your partner's customers, they just don't want to be in that business. As we were saying before, I mean, it's just too expensive. The, the power requirements are going through the roof, so you gotta be really good at managing power. >>You do. In fact, you know, so first of all, you're right, it's extremely difficult for them to also be able to make that kind of commitment, to keep a data center. They would ran, they would manage themselves at the level that Equinex is able to invest. So it's very difficult for people to do it themselves, but even show another, you mentioned actually about the power is near and dear to our hearts because is super committed to sustainability. And so we've made a commitment to holy renewable energy. And it's something that we talk a lot about how we also help partners like Dell meet their initiatives, so, or partners like at T meet their connected climate goals. So we, we are actually using that and coming together with Dell on that story, so that, and, and then helping to amplify that with our partners. And, >>And that's, that's how do you do that? That's putting data centers where you can cool with ambient air. Is it being near the Columbia river? How what's, what's your strategy in that regard, >>Uh, and sustainable. I have to be honest to you. I, uh, I would be out of my depth if I didn't say >>This is the high level. Yeah. >>So, um, we are deploying some of the latest technologies about that, and then experts people who, you know, who all they do is really help us to, um, to reduce the carbon footprint and be able to offset that, be able to use solar, be able to use wind, be able to take advantage of that. And then also to, um, to navigate what's available when you're in 240 locations on six cotton, it's not the same options to reduce your power consumption. And your burden are different in Africa, as you just discovered with our main one acquisition than they are in India, or then they are in, in other parts of the world. So it is for us a journey, and we've been assembling a lot of the talent to do that, but >>You're so large now, even a small percentage improvement can really move the needle. >>And I think because we are the largest, it is incumbent upon us to really set the standard and be committed to it. And, um, and we do see other people following, which is, is a good thing for all of us. Well, >>How important is that in your partnership conversations that partners have that same focus and commitment on ESG that Equinix has >>Partners care a lot about it, but, uh, customers ask us both all the time. I mean, we increasingly see a portion of an RFP or a scope of work asking before I decide to go with Equinex and Dell, tell me how you're going to impact the environment. Tell me about your commitment. And so, um, so we are committed to it, but customers are demanding it to >>Where >>Do you go ahead please? >>Oh, I was just gonna say, it's, it's coming from the, from the voice of a customer, which Equinox is listening to, we know Dell is listening to it as well. >>I'm so >>Sorry. One more time that, that the, the sustainability of the ESG demand is coming from the customers. You were saying, it, >>It both like, I mean, we wanna do the right thing and we've made commitments to it, but our customers are holding us accountable to it. And, you know, sustainability is now a board level priority. It is for us. And it is for companies like Dell and it is for partners and customers. >>It really is. It's it's, I mean, it's up there with security in terms of the board level conversation, where do you want to see the partner ecosystem in the, the, the next let's call it three to five years in your business? You can look out that far. >>Well, you know, I, I think that, um, they, our partners, um, and I, that, I mean, Dells and our mutual partners, you know, are, we've been listening to customers with Dell to deliver a flexible set of options for how customers would consume Equinex and Dell. So our partners are gonna be integrating a variety of those in order to meet the customer where they are in that journey, whether they wanna buy apex as a service, whether they wanna buy Equinex metal, whether they wanna have car some, uh, a partner put together, bespoke, do it yourself, combination with other services. Uh, I, I mean, the customers are going to demand a choice of options. I think partners are gonna embrace multiple versions of that so that they can, you know, to meet the customer where they are and take them >>Well, that's, that's incredibly important these days to meet customer where they are, the customers have a lot of choice. It is, but everything that we're all doing is for the customer, ultimately at the end of the day, <laugh> >>Yes, it, it, it, it is. And, and, you know, the customers are getting Savier, but we are all still early in this journey, as far as the edge, you know, I mean, I think we are all still, um, we're all still grappling at the, at for right now. We like to say that as customers are looking to define that the, the footprint that we offer together with Dell gives them an, an awfully robust set of choices for now. And then we wanna continue to invest and expand to be wherever they need us. >>Well, that's the thing about your business? It's it's optionality. I mean, you can't, I mean, the cloud has a lot of stuff, but you can't get everything you want in the cloud. You can, and you can put anything in your data center. That's, that's, you know, it, >>You can, but you may not know what you need yet. And so that's one of the things we spend a lot of time having our solutions, architects and our sales people together, but they'll talk about future proofing, their strategy. So future proofing, that combination of OnPrem and in an Equinex data center, and maybe some public and future proofing leveraging our fabric so that they might elect different SaaS space services or cloud based services a year to five years from now than the year, even thinking about today. And, and they may expand their edge over time, because they may, they may sort of see that as a, at the customer end point today, most businesses are still sort of using a footprint like ours as their edge, but that could change. And so we wanna be there when it does. >>Yeah. That's a great point because you don't wanna necessarily have to rip it out every cup of years. If you, if you, if you can have a, an architecture that can grow. Yeah, sure. You might want to upgrade it >>Well, and it's one, that's one of the most appealing things about services like metal, where they also, uh, they do sort of prevent that sort of rip and replace, but they also help people navigate the supply chain shortages that are going on right now. So this that's been, this has been a trying two years for supply chain shortages, and being able to take advantage of Dell equipment already staged at an Equinex data center and partners can then bring their customers a quicker immediate response. Have >>You also seen this? You mentioned the supply chain shortages, some of the many challenges that we've experienced in a last few years, how much of a factor has the great resignation been? The labor shortages, the cybersecurity skills gap on, on folks coming, Tolin saying help. We don't have the resources here to do this ourselves. >>We have been fortunate to, to not, to, to be, um, if you're asking about how the reservation has affected us as a company, no, >>Your customers >>Or customers that has oh, okay. Yes. So it is, it is a challenge for them, but it's an opportunity for our partners. So what I see there is it's been challenging for customers to hold onto that talent, but partners are filling that gap and we've access Aon fortunate to hold onto a lot of our best and brightest. And so we put them together with our partner and we try to help customers fill those gaps. >>Well, that's most important thing, filling those gaps. >>You, you ever been one in inside one of these ultra modern data centers? I have not, >>Not yet. >>It's pretty cool. Isn't it? I mean, >>Have you, have you ever had a tour of one? >>I I've never had a tour of an Equinix data center, but I've seen some modern data centers that will blow your mind. Well, >>I mean, they, they come with all the requisite, uh, bio and man traps and all of the bells and, and, and whistles that are actually the first slay of physical security. But then once you get into the data center, then we have sort, we get into the virtual and the digital security that you would expect. So it's, >>Yeah, it's good. And you know, it's not like you drive by the data center, it's a big sign. Here's the data center. It is kind of, you know, they're trying to stay a little hidden and then like, it's get in. It's like getting into fork knots. It's probably harder. And then, but then the it's, it's like this giant clean room, right? It's amazingly clean and just huge. >>There are all >>Your >>Mind. And inside this data centers, all the world's networks come together and peer, and then we have inside their, the, the most direct rom reps to the cloud. So you would expect there, there's a, there's a lot of wires and pipes running very neatly through a very secure, >>Clean systems and power system >>Environment. For sure. >>Amazing engineering. >>It is really >>A >>Tour. You should, you, if they do, you let people tour >>Your, I, I will bring both of you on a tour. Awesome. >>I, my guess >>Would love to. >>Yeah. Great. Sounds fantastic >>On that. So >>Last >>Couple, we'll bring a camera. <laugh> Oh, no, we're not allowed. Not today. >>No phones, no phones sequester. So what, what are some of the things that you're excited about seeing and hearing the next couple of days as this is the first time we've all gotten to be together in so long? >>So, um, well, you know, we are excited about the conversations that we're gonna have power of three that I was talking about. So, you know, we really pride ourselves on sort of having that combination add up to more, to benefit the customer. And so this will be sort of a coming out party of sorts for Equinex and Dell will meet with you almost 20 different global partners that are really important to both of us. So I am most excited about those conversations and about, uh, the education I'm gonna get on the ways they're thinking about integrating it differently, because that is good choice for the market. That is good choice for the customer set. So for the enterprises out there, so that I'm most excited about. Awesome. >>Sounds like tremendous opportunity, lots going on this week, but thank you for coming on, just talking An hour of Equinix and Dell better together, the way that your channel partner program is growing. And of course the momentum of the company will can't wait to see what happens next year. Thank >>You. Thank you. Well, we aim to deliver and thank you again for having us. Thanks, >>Jules. Our pleasure for Dave Volante. I'm Lisa Martin, and you're watching the cubes live coverage day one, Dell technologies world live from Las Vegas, stick around. We'll be right back with our next guest.