[Music] is an open source first company right and we've been around for 20 years and we're pretty amazing at being good at open source giving back to the community building software with people and sharing it back to the community the cubism is an amazing kind of community outreach show and it's really great to be able to communicate and talk to the right people working with the cube has been incredible we do have a couple people that have been on the show a lot and like been able to do that and i think you're very friendly um and yeah just just have a good community around you i've worked for microsoft for a really long time and this is my first reinvent and it's it feels a little odd to be here for a non-microsoft event um and odd and exciting in a way um we are so redhead is partnering with both aws azure as well as gcp ibm and we we are working across different clouds partnering with a lot of cloud providers and i think this is a very interesting new relationship that we have that is new to me compared to being very committed to one single vendor one single line of business like one single operating system and stuff like that being able to partner with different people across the industry and board can build stuff together for the customers one word community

[Music] veeam is the most trusted provider of backup solutions recovery solutions data management solutions for modern data protection veeam loves working with the cube because the cube is one of the platforms that gets the message out there to the broadest audience it's not just the data center audience not just the cloud audience it's the entire it market and the reach of your platform and the way that you cut data into segments it's so powerful for all it companies especially veeam i always love working with the cube at a personal level but veeam as a company does as well couldn't recommend it enough and what i like is having friendly conversations about where the industry is going not where we are but where is the industry going and we always get those really smart great questions about that when we're on the cube i think that every person at the conference this year at aws re invents needs to be thinking about where the industry is going and to partner with the most trusted provider of backup solutions and that is veeam so very excited to be here and thank you for your help in evangelizing this message in a single word there's so many words i oh can i go with four simple flexible reliable powerful those are the four words that define beam

(upbeat music) >> My name's Courtney Pallota, I'm the Vice President of Marketing at ChaosSearch. We've partnered with theCUBE team to take every one of those assets, tailor them to meet whatever our needs were, and get them out and shared far and wide. And theCUBE team has been tremendously helpful in partnering with us to make that a success. >> theCUBE has been fantastic with us. They are thought leaders in this space. And we have a unique product, a unique vision, and they have an insight into where the market's going. They've had conference with us with data mesh, and how do we fit into that new realm of data access. And with our unique vision, with our unique platform, and with theCUBE, we've uniquely come out into the market. >> What's my overall experience with theCUBE? Would I do it again, would I recommended it to others? I said, I recommend theCUBE to everyone. In fact, I was at IBM, and some of the IBM executives didn't want to go on theCUBE because it's a live interview. Live interviews can be traumatic. But the fact of the matter is, one, yeah, they're tough questions, but they're in line, they're what clients are looking for. So yes, you have to be on ball. I mean, you're always on your toes, but you get your message out so crisply. So I recommend it to everyone. I've gotten a lot of other executives to participate, and they've all had a great example. You have to be ready. I mean, you can't go on theCUBE and not be ready, but now you can get your message out. And it has such a good distribution. I can't think of a better platform. So I recommended it to everyone. If I say ChaosSearch in one word, I'd say digital transformation, with a hyphen.

(upbeat music) >> So Boomi is a leader in intelligent connectivity and automation. So theCUBE's been awesome with our messaging. I think when I look back in the last year, I did theCUBE remotely from AWS re:Invent last year, I think it was the most watched video that I did from all of it. So it's been a great asset for me to get the message out in things that we want to talk to the AWS and our customer community about. So very grateful for that. It's extremely important to get here, get in front of our customers and partners again in-person, have these conversations, and how we can help solve new challenges that are emerging for our customers, particularly also to get out our vision in the hyperautomation space, and talk to our customers about these new problems that we're helping them solve. Done theCUBE a few times, everybody's been super professional, courteous. It's been well-organized and well-executed. I would recommend it to anyone, and I certainly would be open and happy to do it again. Well, it's three. I would sum it up as, "Go Boomi it."

[Music] realtio is in the business of data value acceleration we bring data together from multiple applications third-party data sources to create a unified view and deliver that in real time cube is a great platform you know you see a lot of new and diverse content and you get to learn about new technologies and capabilities and the new ways in which a different companies like railto are solving big problems and hearing from all of the different players all of the different people it becomes a great forum for people to not only come and learn about new things but also to be able to share that across a wider audience so we really appreciate you know the reach of the cube from that perspective so the question is what has been our experience working with the cube and would we do it again or recommend it to others absolutely we would recommend it to all of the different tech companies uh you know whether you're new and just getting started or you're at a mature size and scale in business uh cube is a perfect uh platform for us to use and we would do it again in a heartbeat so when are you having us over again connected data

>>And welcome to this special cube conversation. I'm John for a, your host of the cube. We're here in Palo Alto, California, and I'm here with a very special guest coming down from Seattle remotely into the cube studios is the leader at AWS Amazon web services, the vice president of database analytics and machine learning Swami. Great to see you cube alumni recently taking over the database business at AWS as a leader. Congratulations. And thanks for coming on the cube. >>Hey, my pleasure to be here, John, very excited to talk to you. >>Yeah. We've had many conversations on the cube and also in person and also online around all the major mega trends. You've had your hand in all the action, going back to your days when you were in school learning and, and writing papers. And 10 years ago, Amazon web services launched AWS dynamo, DB, fast, flexible, no SQL database that everyone loves today, which has inspired a generation of what I would call database distributing cloud scale, single digit millisecond performance at scale. And again, the key scale. And again, this is 10 years ago, so it seems like yesterday, but you guys are celebrating and your name was on the original paper with CTO Verner. Vogel's your celebrity. Congratulations. >>Thank you. Not sure about the celebrating part, but I'm very excited. At least I played a hand in building such an amazing technology that has enabled so many amazing customers along the way as well. So >>Trivia on the, on the paper as you were an intern at AWS, so you're getting your PhD. And then since, since rising through the ranks and involved in a lot of products over the years, and then leading the machine learning and AI, which is now changing the game at the industry level, but I got to ask you getting back to the story here. A lot of customers have built amazing things on top of dynamo DB, not to mention lots of other AWS and Amazon tech riding on it. Can you share some of the highlights that came out of the original paper? And so with some examples, because I think this is a point in time, 10 years ago, where you start to, so the KickUp of cloud scale, not just, just for developers and building startups, you're really starting to see the scale rise. >>Yeah, I actually, I mean, as you probably know, based on what he read to explain the Genesis of dynamo DB itself had to explain the Genesis of how Amazon got into building the original dynamo, right? And this was during the time when miner, I joined Ron esteem as an intern and, and Amazon was one of the pioneers in pushing the boundary of scale. And a year over year, our Q4 holiday season tends to be really, really bad for all the right reasons. We all want our holiday shopping done during that time. And you want to be able to scale your website, arters fulfillment centers, all of them at that time. And those are the times around 2005. And the answer is when people think our database, they think of a single database server that actually runs on a box and has a certain characteristics and does a scale and availability and whatnot. >>And it's usually relational. And then when we had a major disruption during Q4 that's when yeah, ask ourselves the question, why are we actually using a relational database for some of these things when they really didn't need the data model complexity of relational database. And normally I would say most companies where to actually ask an intern or a few engineers who are early in the career saying like, what the hell are you suggesting? Just go away. But Amazon being enabling Buddhists to build what they want. And they actually let us start reimagining what a database or our scale could look like. And that led to dynamo. And since she unstained mine, then we migrated from an traditional relational database stair this one for some of the amazon.com services. And then I moved on to actually start building some butts off our storage service and then our managed relational database service, I explicitly remember. >>And one of our customer advisory board, we're just the set off some of our leading customers who actually give us feedback on roadmap. Another son, Don, who's the CEO and chief geek of spunk bargain faker. And him actually looking at the Trinity me, I was starting in the corner and saying like you all, both tomorrow and why do I need to keep shotting my, my sequel database and reshooting assigned scaling. And this is the time when the state of the art in most databases were around. Like, you start sharding your relational database and constantly reshaping. And this is when most websites are starting to experience the kind of scale which we consider a normal month. During those times it was mostly, most companies used to have a single relational database backend and start scaling that way. And that conversation led entirely under duress, unaided read, lot of AWS leaders and myself saying like, Hey, what is a cloud database reimagined without the hampering SQL look like? And that led us to start building dynamo DB, but just a key value database at that time. Now we support document might've too, but that single digit millisecond latency at any scale imagine. So >>I think about that time at that time, 10 years ago, when you were having this conversation and I know the smug mug and I, he said, he's in totally geek and he's, he's good to point that out. You also have Netflix as customers too. I'd like to hear how that's evolved, but, but I think back at the time, if you look back then I got to ask you most people we've talked about this before. No one database rules, a world that's now standard people now don't see one database back then it was a one database kind of mindset back then. Yeah. And then you had that big data movement happening with Hadoop. You had the object store developing. So you're in you're you're circling around that area. What was it like then? I mean, take, take us through that because there was obvious visibility that, Hey, let's just store this. Now you see data lakes and that's all happening. But back then object store was kind of new. Yeah. >>Ah, it's a great question. Now, one of the things I realized early on, especially when I was working with binary, when you're saying amazon.com itself as an example, that the access patterns for various applications and Amazon, but let alone AWS customers tend to be very, very, very, some of them really just needed an object store. Some of them needed a relational database. Some of them really wanted a key value store within a fast latency. Some of them really needed a durable cash. And, but it so happens when you have a giant hammer. You use that for everything looks like a map, which is essentially the story at that time. And so everyone kept using the same database, irrespective of what the problem was because nobody else, I mean, thought about like, what else can we build that is better? So this let us do, literally I remember writing a paper with Bernard internally that is widely used in Amazon explaining what are all the menu of booklets that access. >>And then how do we go about actually solving for each of these things so that they can actually grow and innovate faster. And, and this was led to actually the Genesis of not only building IDs and so forth, but also dynamo and various other non-relational data. There's a still let alone not so storage access patterns and what not. So, and this was one of the big revelations he had just that there is not a single database that is going to meet the customer, needs us. The diversity of workloads in the internet is growing. And this was a key pivotal moment because with cloud now applications can scale very more instantly than before now. Building an application for Superbowl is very easier than before. That means that on, I mean, everybody is pushing the boundaries of what scale means, and they are expecting more from their obligations. That's when you need technologies like dynamo, DB, and that's exactly what dynamo already be set out to do. And since then, we are continuing to innovate on behalf of our customers and the purpose of the database story as well. And this concept has resonated well across the board. If you see that the database industry has also embraced this method, >>It's natural that you obviously evolved into the machine learning side of it because that's data is big part of that. And you see back then you, you bringing up kind of like flashes for me where it's like those, the data conversations back then and the data movement was just beginning. So the idea that you can have diversity in access methods of the kind of databases was a use case driven by the application, not so much database saying, this is how you have to work, that the script was flipped. It it's changed from infrastructure dictating to the applications, what to do. Now, the applications are going to the infrastructure and saying, give me what I want. I want to access something here in an office store, something here in no SQL that became the Genesis of infrastructure as code at a, at a global level. And so your paper kind of set the, the, the wave, the influence for this, no SQL did big data movement. It's created tons of value, maybe a third Mongo might've been influenced by this other people have been influenced. Can you share some stories of how people adopted the concept of dynamo DB and how that's changed in the industry and how has that helped the industry evolve? >>I mean, plus file data. Most share our experience of building and dynamo style data store. Very, it is a non-relational API and showing what are some of the experiences that the Venter in building such an paper and these set out early on itself, that it is should not be just a design paper, but it should be something that we shared our experiences. So even now, when I talked to my friends and colleagues and various other companies, one thing they always tell me is they appreciated the openness with which we were sharing. Some of the examples and learnings that we learned to not optimizing for percentile latencies, and what are some of the scalability challenges, how we solved and some of the techniques around things like sloppy Cora or various other stuff. We invented a lot of towns along the way too, but people really appreciated several of some of our findings and as talking about it. >>And since then I met so many other innovations are happening in the industry and the AWS, but also across the entire academia and industry in this space, the databases I've been going through what I call as a period of Renaissance, where one of the things, if you see our own arc, when Roger and I started on the database, front Disney started over the promo saying like, if you were to build a database where cloud is the new normal, this is again in 2008, we asked ourselves that question and what the belt that led us to start building things like dynamo, DB, RDS star. I know that alone, we reimagined data viruses with Redshift and several, and then several other databases like time stream for time series workloads started running Neptune for graph and whatnot. But at the moment we started actually asking that question and working backwards from customers. Then you will start being able to innovate accordingly. And this has worked really well. Then more than a hundred thousand AWS customers have chosen dynamo DB for mobile gaming tech IOT. Many of these are fast growing businesses, such as ledge, Darryl BNB, red fan, as soon as enterprises like Samsung Toyota, capital one and so far. So these are like really some meaningful clouds, let alone amazon.com. I run this. >>We have an internal customer is always good to have that entire inside customer. You know, I really find this a really profound use case because you're just talking, you know, in Amazonian terms, I'll just translate for the audience working backwards from the customer, which is the customer obsession you guys have. So here's, what's going on off the way I see it. You got dynamo, DB, paper, you and Verner, and the team Paul was a great as a great video on your blog posts that goes into the, to the talk he gave at around that time, which is fun to watch if you look back, but you have a radical enabler here, that's disrupting and changing S3 RDS, Aurora. These are game-changing concepts inside the, the landscape of AWS at the same time, you're working backwards from the customer. So the question I have for you as a leader and as a builder, how did you balance the working backwards from the customer while bringing something brand new and radical at that time to the market? >>Yeah, this is one of the S I mean hardest things to be, as leaders need to balance on. If you see many times, then we actually worked backwards from customers. The literal later translated this, literally do what customers are asking for, which is true nine out of 10 times, but there is one or a 10 times, you got to read between the lines on what they are asking. Because many times customers when are articulate that they need to go fast. If in the right way, they might say, Hey, I wish my heart storage goes faster, but they're not going to tell you they need a car, but you need to know and be able to translate and read between the lines we call it under the bucket of innovate on behalf of customers. And that is exactly the kind of a mantra we had when we were thinking about concepts like dynamo DB, because essentially at that time, almost everybody would, if I asked, they would just say, I wish a relational database could actually be able to scale from not just like a hundred gigabyte to one terabyte are, it can take up to like 2 million transactions, a second and so forth and still be cheap and made in reality as relational databases, the way they were engineered at that time, those are not going to meet the scale needs. >>So this is fair. We hunted read between the lines on what are some of the key Mustang needs from customers and then work backwards and then innovate on behalf of these workloads, be enabled by the sun oh four, which are some of the reasons that led to us launching some of the initial sets on dynamo on a single digit millisecond latency and seamless scale. At that time, databases didn't have the elasticity to go from like 10 requests, a second to like a hundred thousand or 1 million requests a second, and then scaled right back in an hour. So that was not possible. And we kind of enabled that. And that was an, a pretty big game changer that showed the elasticity of the cloud to a database. Well, >>Yeah, I think also just to, not to nerd out on this, but it enables a lot of other kind of cool scaled concepts, like queuing storage. It's all kind of together. This database piece of that you guys are solving. And again, props to you guys on the team. Congratulations. I have to ask, you know, more generally, how has your thinking changed since the paper? I'll see, you've got more experience under your belt. You don't yet have the gray hairs yet, but we'll see those soon come in, but you know, you're, you got a lot more experience. You're running teams, you're launching a lot of products. How has your thinking changed in the industry since the paper what's happening now? What's the big evolution. What are those new things now that are in the innovate on behalf of the customer? What's between the lines now, how do you see this happening? >>I mean, now since wanting dynamo via a victim, I had the opportunity to work on various problems in the big data space. There we've worked on some are fire things that you might be aware of in the analytics all the way from Redshift to quick side, too. Then I moved on to start some of our efforts, having built systems that enabled customer to store process and credit, and then analyze them. One of the realizations, I had this, the in around 2015 or 2016, I kinda had that machine learning was hitting a critical point where now it is ready for being scaled at option. Their cloud has basically enabled limitless compute and limitless storage, which are the factors that are holding back machine learning technology. Then I realized that now we have a unique opportunity to bring machine learning BI to everybody, not just folks with PhD in machine learning. >>And that's when I moved on from database and analytics areas, they started machine learning. We're just a descent area because machine learning is powered by data and then started building capabilities like SageMaker, which is our end to end ML platform to build, train and deploy them on models. And this, what does the leading enterprise platform by several gaggled users and then also a bunch of our AI services since then, I view the reason I'm giving all this historical context is one of the biggest realization I had early on itself. And 2016 as first machine learning is one of the most disruptive technologies. She will then country in our generation. This is right after cloud. I think these still are the most amazing combination that is going to revolutionize how we build applications and how we actually reason about that. Now, the second thing is that at the end of the day, when you look at the ANC and journey, it is not just about one database or one data Varroa. >>So one data lake product, or even 1:00 AM out platform. It is about the end to end journey where a customer is storing their order database. And then they are actually building a data lake that test customer history and order history. And they want to be able to personalize. And for their viewer experience are actually forecast what products to staff in their fulfillment center, but then all these things need to work and to handle. And that view is one of the big things that struck me for the past five years. And I've been on this journey in addition to building this Emma building blocks to connect the dots so that customers can go on this modern end to end data strategy as I call it, right. It goes beyond a single database technology or data technology, but putting now all of these end to end together so that customers don't end up spending six months connecting the dots, which has been the state of the down for the last couple of years. And we are bringing it down to matter of the Sundays. Now >>He's incredible Swami. Thank you so much for spending the time with us here in the, >>Yeah, my pleasure. Thanks again, Sean. Thanks for having me.

(upbeat music) >> Hello and welcome to this Cube conversation. I'm John Furrier, your host of theCube here in Palo Alto, California. We're here in 2021 as we get through the pandemic and vaccine on the horizon all around the world. It's great to welcome Sandy Carter, Vice President of Partners and Programs with Amazon Web Services. Sandy, great to see you. I wanted to check in with you for a couple of reasons. One is just get a take on the landscape of the marketplace as well as you've got some always good programs going on. You're in the middle of all the action. Great to see you. >> Nice to see you too, John. Thanks for having me. >> So one of the things that's come out of this COVID and as we get ready to come out of the pandemic you starting to see some patterns emerging, and that is cloud and cloud-native technologies and SAS and the new platforming and refactoring using cloud has created an opportunity for companies. Your partner group within public sector and beyond is just completely exploding and value creation. Changing the world's society is now accelerated. We've covered that in the past, certainly in detail last year at re:Invent. Now more than ever it's more important. You're doing some pretty cutting things. What's your update here for us? >> Well, John, we're really excited because you know the heartbeat of countries of the United States globally are small and medium businesses. So today we're really excited to launch Think Big for Small Business. It's a program that helps accelerate public sector serving small and diverse partners. So you know that these small and medium businesses are just the engine for inclusive growth and strategy. We talked about some stats today, but according to the World Bank, smaller medium business accounts for 98% of all companies, they contribute a 50% of the GDP, two-thirds of the employment opportunities, and the fastest growing areas are in minority owned businesses, women, black owned, brown owned, veteran owned, aborigine, ethnic minorities who are just vital to the economic role. And so today this program enables us as AWS to support this partner group to overcome the challenges that they're seeing today in their business with some benefits specifically targeted for them from AWS. >> Can I ask you what was the driver behind this? Obviously, we're seeing the pandemic and you can't look at on the TV or in the news without seeing the impact that small businesses had. So I can almost imagine that might be some motivation, but what is some of the conversations that you're having? Why this program? Why think Big for Small Business pilot experience that you're launch? >> Well, it's really interesting. The COVID obviously plays a role here because COVID hit small and medium businesses harder, but we also, you know, part of Amazon is working backwards from the customers. So we collected feedback from small businesses on their experience in working with us. They all want to work with us. And essentially they told us that they need a little bit more help, a little bit more push around programmatic benefits. So we listened to them to see what was happening. In addition, AWS grew up with a startup community. That's how we grew up. And so we wanted to also reflect our heritage and our commitment to these partners who represent such a heartbeat of many different economies. That was really the main driver. And today we had, John, one of our follow the sun. So we're doing sessions in Latin America, Canada, the US, APJ, Europe. And if you had heard these partners today it was just such a great story of how we were able to help them and help them grow. >> One of the cultural changes that we've been reporting on SiliconANGLE, you're seeing it all over the world is the shift in who's adopting, who's starting businesses. And you're seeing, you mentioned minority owned businesses but it goes beyond that. Now you have complete diverse set entrepreneurial activity. And cloud has generated this democratization wave. You starting to see businesses highly accelerated. I mean, more than ever, I've never seen in the entrepreneurial equation the ability to start, get started and get to success, get to some measurable MVP, minimal viable product, and then ultimately to success faster than ever before. This has opened up the doors to anyone to be an entrepreneur. And so this brings up the conversation of equality in entrepreneurship. I know this is close to your heart. Share your thoughts on this big trend. >> Yeah, and that's why this program it's not just a great I think achievement for AWS, but it's very personal to the entire public sector team. If you look at entrepreneurs like, Lisa Burnett, she's the President and Managing Director of DLZP. They are a female owned minority owned business from Texas. And as you listen to her story about equity, she has this amazing business, migrating Oracle workloads over to AWS, but as she started growing she needed help understanding a little bit more about what AWS could bring to the table, how we could help her, what go to market strategies we could bring, and so that equalizer was this program. She was part of our pilot. We also had John Wieler on. He is the Vice President of Biz Dev from IMT out of Canada. And he is focused on government for Canada. And as a small business, he said today something that was so impactful, he goes, "Amazon never asked me if I'm a small business. They now treat me like I'm big. I feel like I'm one of the big guys and that enables me grow even bigger." And we also talked today to Juan Pablo De Rosa. He's the CEO of Technogi. And it's a small business in Mexico. And what do they do? They do migrations. They just migrate legacy workloads over. And again, back to that equality point you made, how cool was it that here's this company in Mexico, and they're doing all these migrations and we can help them even be more successful and to drive more jobs in the region. It's a very equalizing program and something that we're very proud of. >> You know what I love about your job and I love talking to you about this (Sandy laughs) because it's so much fun. You have a global perspective. It's not just United States. There's a global perspective. This event you're having this morning that you kicked off with is not just in the US, it's a follow the sun kind of a community. You got quite the global community developing there, Sandy. Can you share some insight behind the curtain, behind AWS, how this is developing? How you're handling it? What you're doing to nurture and grow that community that really wants to engage with you because you are making them feel big because (laughs) that's what cloud does. It makes them punch above their weight class and innovate. >> Yeah, that's very correct. >> This is the core thesis of Amazon. So you've got a community developing, how are you handling it? How are you building it? How are you nurturing it? What are your thoughts? >> You know what, John? You're so insightful because that's actually the goal of this program. We want to help these partners. We want to help them grow. But our ultimate goal is to build that small and medium business community that is based on AWS. In fact, at re:Invent this year, we were able to talk about MST which is based out of Malaysia, as well as cloud prime based out of Korea. And just by talking about it, those two CEOs reached out to each other from Korea and Malaysia and started talking. And then we today introduced folks from Mexico, and Canada, and the US, and Bulgaria. And so, we really pride ourselves on facilitating that community. Our dream here, our vision here is that we would build that small business community to be much more scalable but starting out by making those connections, having that mentoring that will be built in together, doing community meetings that advisory meetings together. We piloted this program in 2020. We already have 37 partners. And they told me as I met with them, they already feel like this small and medium business community or family. Family was the word they used, I think, moving forward. So you nailed it. That's the goal here is to create that community where people can share their thoughts and mentor each other. >> And it's on the ground floor too. It's just beginning. I think it's going to be so much larger. And to piggyback off that I want to also point out and highlight and get your reaction to is the success that you've been having and Amazon Web Services in general but mainly in the public sector side with the public private partnership. You're seeing this theme emerge really been a big way. I've been enclose to it and hosting and being interviewing a lot of folks at that, your customers whether it's cybersecurity in space, the Mars partnership that you guys just got on Mars with partnerships. So it's a global and interstellar soon to be huge everywhere. But this is a big discussion because as from cybersecurity, geopolitical to space, you have this partnership with public private because you can't do it alone. The public markets, the public sector cannot do it alone. And it pretty much everyone's agreeing to that. So this dynamic of public sector and partnering private public is a pretty big deal. Unpack that for us real quickly. >> Yeah, it really is a big deal. And in fact, we've worked with several companies. I'll just use one sector. Public Safety and Disaster Response. We just announced the competency at re:Invent for our tech partners. And what we found is that when communities are facing a disaster, it really is government or the public sector plus the private sector. We had many solutions where citizens are providing data that helps the government manage a disaster or manage or help in a public safety scenario to things like simple things you would think, but in one country they were looking at bicycle routes and discovered that certain bicycle routes there were more crashes. And so one of our partners decided to have the community provide the data. And so as they were collecting that data, putting in the data lake in AWS, the community or the private sector was providing the data that enabled the application, our Public Sector Partner application to identify places where bicycle accidents happen most often. And I love the story, John, because the CEO of the partner told me that they measured their results in terms of ELO, I'm sorry, ROL, Return on Lives not ROI, because they save so many lives just from that simple application. >> Yeah, and the data's all there. You just saw on the news, Tiger Woods got into a car accident and survived. And as it turns out to your point that's a curve in the road where a lot of accidents happen. And if that data was available that could have been telegraphed right into the car itself and slow down, kind of like almost a prevention. So he just an example of just all the innovation possibilities that are abound out there. >> And that's why we love our small businesses and startups too, John. They are driving that innovation. The startups are driving that innovation and we're able to then open access to that innovation to governments, agencies, healthcare providers, space. You mentioned Mars. One of our partners MAXR helped them with the robotics. So it's just a really cool experience where you can open up that innovation, help create new jobs through these small businesses and help them be successful. There's really nothing, nothing better. >> Can I ask you- >> Small, small is beautiful. >> Can I asked you a personal question on this been Mars thing? >> Yeah. >> What's it like at Amazon Web Services now because that was such a cool mission. I saw Teresa Carlson, had a post on the internet and LinkedIn as well as her blog post. You had posted a picture of me and you had thumbs were taking an old picture from in real life. Space is cool, Mars in particular, everyone's fixated on it. Pretty big accomplishment. What's it like at Amazon? People high five in each other pretty giddy, what's happening? >> Oh yeah. The thing about Amazon is people come here to change the world. That's what we want to do. We want to have an impact on history. We want to help make history. And we do it all on behalf of our customers. We're innovating on behalf of our customers. And so, I think we get excited when our customers are successful, when our partners are successful, which is why I'm so excited right now, John, because we did that session this morning, and as I listened to Juan Pablo Dela Rosa, and just all the partners, Lisa, John, and just to hear them say, "You helped us," that's what makes us giddy. And that's what makes us excited. So it could be something as big as Mars. We went to Mars but it's also doing something for small businesses as well. It runs the spectrum that really drives us and fuels that energy. And of course, we've got great leadership as you know, because you get to talk to Andy. Andy is such a great leader. He motivates and he inspires us as well to do more on behalf of our customer. >> Yeah, you guys are very customer focused and innovative which is really the kind of the secret sauce. I love the fact that small medium sized business can also be part of the solutions. And I truly believe that, and why I wanted us to promote and amplify what you're working on today is because the small medium size enterprise and business is the heart of the recovery on a global scale. So important and having the resources to do that, and doing it easily and consuming the cloud so that they can apply the value. It's going to change lives. I think the thing that people aren't really talking much about right now, is that the small medium size businesses will be the road to recovery. >> I agree with you. And I love this program because it does promote diversity, something that Amazon is very much focused on. It's global, so it has that global reach and it supports small business, and therefore the recovery that you talked about. So it is I think an amazing emphasis on all the things that really matter now. During COVID, John, we learned about what really matters, and this program focuses on those things and helping others. >> Well, great to see you. I know you're super busy. Thanks for coming on and sharing the update, and certainly talking about the small mid size business program. I'm sure you're busy getting ready to give the awards out to the winners this year. Looking forward to seeing that come up soon. >> Great. Thank you, John. And don't forget if you are a small and medium business partner 'cause this program is specifically for partners, check out Think Big for Small Business. >> Think Big for Small Business. Sandy Carter, here on theCube, sharing our insight, of course all the updates from the worldwide public sector partner program, doing great things. I'm John Furrier for theCube. Thanks for watching. (upbeat music)

>>Okay, welcome back everyone to the cubes coverage here in San Francisco, California of AWS summit, 2022. I'm John Farry host of the cube AWS summit in New York city. Coming up in the summer. We'll be there as well for live interviews there. Events are back and we're excited. I have a great guest here y'all you of CEO and co-founder and Juna security based outta Palo Alto. Great to have you coming on the queue. Appreciate it. Yeah. >>Thanks. >>Thanks for having, so tell us about what you guys are doing. You guys have a really cool cost of confidential computing. Take a minute to explain what the company does. >>Sure. So, uh, at high level confidential computing is the ability to take any workload, any piece of data, regardless of sensitive, it is and run it completely isolated, completely private, completely protected, essentially on any infrastructure, uh, and that enables organizations to take any, any workload and move it to UN you know, um, sensitive, potential sensitive locations, like the public cloud, where somebody else is managing your infrastructure. >>So basically the problem you solve is you provide security layer for workloads. >>Exactly. >>Exactly's also govern in security issues, but also just general hacking, >>Right? Oh, ex exactly. Essentially any, any organization having any type of sensitive information, think about, you know, financial services, think about healthcare, think about, you know, oil and gas that need to protect the data where they're gonna drill next. Any, any kind of organization that has sensitive information has that issue and needs to protect data in any environment they run in. >>So Amazon would be like, wait a minute. We're secure. What come on. >>Uh, actually AWS is, uh, is one of our partners and we we're actually building on top of, uh, a new technology that AWS, uh, built called, uh, nitro enclaves. And actually all the public clouds have built a technology like this. Uh, the reason why they've done this is to security and privacy are the number one. And number two reasons why people don't move more workloads to the public cloud. Mm-hmm <affirmative>. So what the public clouds have done is added this technology to be able to tell their customers one is we don't have any access to your data running on top of our infrastructure. And number two, be able to turn to the government and tell them, uh, during the case with the iPhone and, uh, the FBI or the FBI to apple asked him for data on the iPhone. Yeah. And apple said, we just can't, we don't have access to that data. This is exactly what the public clouds want to be able to do, turn to the government and tell them we just don't have access to our customer's data. >>Wow. That's gonna put a lot of pressure. So talk about the surface area of attacks. How has that changed? What do you guys, what's your role in that obviously this no perimeter anymore in the cloud, the security is dead. That's a huge issue. >>Yeah, of course. So, so I guess what we fit into this, as I mentioned, all the clouds added, uh, this technology, uh, what we fit in is very similar to what VMware did for virtualization, right? Virtualization was this extremely powerful technology that everybody knew was going to change the world. You wouldn't have the public cloud without virtualization. Uh, the problem was, it was very difficult to use very, very low level because it was a hardware technology. And then every, uh, vendor built a different technology. This is exactly the case now with confidential computing, every cloud added, uh, uh, a hardware level technology to go support this. But one it's very low level. It's very, very difficult to use. And every cloud added the different technology, which makes it even harder for organizations to go use. We added a softer stack exactly like VE VMware did for virtualization to make it super simple, to use and ubiquitous across the different clouds. >>How did you come up with the idea? What did this all come from? Were you scratching and inch and security? Did you have one of those things like, Hey, I can solve this problem. What's the origination story? Where did this all start? >>Yeah, it's actually, so I I've been in security for, you know, over 20 years now. Um, and I kept running into that same problem. Right. I, I was in the, I was actually in, um, unit 8,200, which is the really equivalent of the NSA. Uh, I was then, uh, in the private sector and I was, uh, a bunch of companies open DNS, Cisco, and, and I kept running into that same issue. And when you kind of peeled the layers of the onion of what the core security problem was, it always came back to how do you protect data while it's being used, which is essentially the core, the same sort of core problem, the confidential computing solves. Um, but there was never a solution. There was never a way to solve this. Uh, and, uh, above four years ago, my co-founder, uh, just finished his PhD at Stanford and he ran into, there's finally a way to do this. Finally, the CPU vendors have built something in, uh, the clouds are going to adopt this. This is going to allow you to one finally solve that huge problem that always existed. And, and number two, this allows you to kind of rearchitect security the right way, uh, because this has always been the core problem that people try to somehow mitigate never having a good solution. >>It's like putting a rapper around it, an envelope and saying secure. >>Exactly. So was this >>PhD working at Stanford in parallel to industry momentum at the same time Sarah Diply? Or was it kind of like, was he working with partners already in his program? >>Yeah, so he just, uh, this was something was happening and this is, uh, this has been going on for, well over a decade. It, it actually funny enough, it started with the, uh, with cell phones. I dunno if you ever thought, you know, what happens if you lose your phone, you have the biometric data, right? Your fingerprint or your face ID. Can somebody get that information out the phone if you lose it? And what the, the phone vendors have done is basically put techn, confidential computing technology to make sure that even if somebody gets physical access to your device, they're not going to be able to get access to that data. And what the, the evolution was is that the Intel AMD, the CPU vendors have realized, wait, this is a really, really great idea. Yeah, you should put it on the server side as well. >>And that started with Intel in 2015. So this has been an evolution, uh, and now essentially every, every one of the CPU vendors is now supporting this. You have Intel and R and AMD and video just announced, uh, their confidential, uh, uh, GPU solution, uh, all the clouds and I've adopted this. Uh, so my, my co-founder when he ran into this, this was as this was, uh, starting to, to happen. He got extremely excited, but he has noticed a big problem of everyone is coming up with different solutions. We're gonna need to build a layer, a software layer on top of this, uh, to, so >>You have, you have to get this to be de facto >>Exactly standard. >>Oh, how's that going? So Amazon's a partner, >>Amazon's a partner. Aw. Uh, Azure is a partner. Uh, we can run on top of essentially any, any one of the clouds out there >>They're enabling you to do that. Cuz they're they want to buy into security. >>Exactly. They want the benefit. Exactly. They want tell their customers, you can move anything to the cloud because we don't have any access to your data. This helps us, them essentially sell cloud >>A couple things around. Um, I want to ask about performance, but before I get to that, yep. It seems like this whole protective data thing has always been like a database thing. Not so much low level re resetting, if you will, it's almost a reset. It's not like just protect your data in the database. >>Oh yeah. Yes. It's different. Yes, exactly. It's funny because uh, you bring sort of the right exact right point. Really. You kind of think about where data can reside. There're essentially three locations. There's data at rest, which is essentially data in a database or file system. There's data in transit, which is data on the, you know, in the network. Yep. Uh, and then there's data use and the data and use piece is essentially when an application needs to process data, it has to decry it and load it completely in the clear, in memory in order to process it. Got it. And at that point, the data is not decade. This is why it's so hard for organizations to move data to the cloud or to run data and geographies where they're not, you know, they don't trust the government or don't trust the, the admins. >>So injecting some malware or vulnerability or attack in the workload while it's running is just another attack, vector. >>Exactly. Or just, or just stealing the data. If you, if you have access to the infrastructure, if you can run code, you can then just basically look in the memory and get all the data out of it. And, and to some extent, even the, the, the encryption keys you use for data, rest those keys, leaving the clear in memory. So even that hasn't been completely solved. Got it. Now that you have this component, you can finally solve, you know, solved our problem and protect the data regardless of where it resides. >>All right. So I gotta a performance question cause remember going, even back to the earlier encryption. Yeah. There's always overhead penalty. Yes. But cloud's a beautiful thing you can spend compute up and you're talking about now, the, the CPU vendors are kind of getting involved. >>Yes. Talk >>About the security, uh, how you mitigate that. Is it an issue? No issue. Why? Yeah, >>Actually, actually, uh, you talk about performance because I think this is a really, really great point. What's nice about this. Uh, and uh, this is why the, the, the, the sort of the benefit of the CPU vendors doing this performance has always essentially had two underlying issues. One is performance, as you mentioned. And the other one is ease of use. This is, this is sort of the, the piece we add to that. We make it super simple to use when you can take essentially any workload and run it securely on top of any, any one of these solutions and the performing thing, the, the heavy lifting is done by the hardware vendors themselves, which means there's a another, uh, chip next to the CPU that does all the heavy lifting encryption, which is very similar. I don't know if you remember the, uh, um, uh, the TLS, you know, the SL acceleration cards. Yeah. This was exactly the same thing. It was this, you know, chip outside the CPU. So it's not, uh, in the sort of the critical path that does all the heavy lifting. And this is what allowed, uh, TLS or HTB TTP HTTPS to become the default where you now protect every website. And this is sort of when security becomes transparent and there's no performance impact, like why, why would you use it for everything? >>It becomes a no brainer unless there's legacy baggage, right. >>In >>Dogma around use this approach, culture issue, or technical, right. Unwind those two, two things. So what's your a take on that? What's your react. Culture's easy. Just like, I think that's easy to fix. We want better security get on board or see you later. Exactly. Technical architecture could be an inhibitor. How do you see that is the blocker? How do you unwind that? How do you get that to >>Reset? So it's exactly the value that we bring to the table. We build a software stack to make it super simple. You don't need to, you know, you don't need to rewrite the application. You don't need to recompile, it's essentially security becoming a part of the infrastructure. You essentially have security as just a piece of the infrastructure that makes it super simple to get a no brainer. Yeah, exactly. The way, you know, TLS was it's. Yeah. We're a software vendor. >>All right. So how do I see it integrating with Amazon? It's gonna get into the chip level. They're enabling hooks for you. Exactly. That's how it works. >>So there's essentially the, uh, all the cloud vendors have enabled these technologies for Amazon it's yeah. It's essentially this hardware capability. We, we have access to it and we're a software layer on top of it to make it simple, similar to, again, what M VMware did for virtualization and what, um, some extent, this is what, uh, Microsoft has done for the CPU, what windows is right. Every time there's a new, really amazing hardware, hardware, uh, feature. You need a software sec on top of it to make it simple use. >>What's great about the cloud is, is that you kind of have that whole operating system mindset now being democratized across everything. Right. I mean, it's a systems thinking in software, right. With all the cap X of the cloud. Yes. And you're decoupled from it and you're riding on top of >>It. Exactly. >>It's an amazing opportunity as a co-founder or just if, if there was no cloud, how hard were this to be the two <laugh>, I mean, like almost impossible. Yep. So very cool. All right. Take a minute to explain what you guys are working on. How big is the company, what you guys are doing right now, you're hiring, you're looking for people funding, give a, give some, uh, give, give some, give a plug to the company. >>Sure. So, uh, we're, uh, we're a series B company, uh, lost, uh, raised 30 million from insight in the last round. Um, we're, uh, we're about 80 people right now. We're growing extremely aggressively. Um, mostly on the salsa and the cells go to market side just because of the demand that we're seeing in the market, but we're also growing on the engineering side. So again, if, uh, we're always happy to talk to >>Side about Palo Alto probably have remote teams, >>Uh, we're based in Palo Alto. So the, the, the, the sort of headquarters and most of the team is in Palo Alto, but yeah, we're very open to remote. We have now engineers in all across the us, and also outside the us as well, just because COVID made it sort of very easy to, to do >>That. Right. I mean, you got a good product, great idea, and a great opportunity. I mean, this is, you know, Dave LAN and I had at a VM world, I think it was like 2013. Now we're dating ourselves. <laugh> this is when we started covering AWS. Yep. He asked pat Gelsinger, it might have been 2015. Cause the CEO of VMware at the time. Yeah. Is security a Doover. Yep. And he's like, absolutely. And this is now happening. This is a security Mulligan, a redo over, this is what we need. Right. >>Exactly. And this is why, so, uh, we're part of a, uh, something called the confidential computing consortium, which essentially has all the large, all the, you know, the cloud vendors, the CPU vendors, VMware is a part of this as well. Basically the, this is sort of too big of a shift for these large organizations to ignore the, and uh, yeah. VMware is definitely going to have a, a part of >>This. Awesome. Well, congratulations. You guys are gonna probably be really huge or get bought out pretty quickly. <laugh> we're I think >>This, this is a huge, this is just a huge opportunity. We can become the VMware of security. So I think this is, you know, I'm hoping to stay independent. >>Yeah. Congratulations on a great venture. Love the idea. And again, every application should run this way. It's no, uh, if you can get that security built in yep. You gotta shield. Right. You wrap it up, probe it anywhere exactly made the best cloud >>Win. Exactly. Right. Exactly. >>And that's, what's gonna happen. That's >>That's >>Why I love the Silicon angle of Amazon Silicon play. Yes. As that Silicon gets better. >>Yes. >>It only helps this, these kinds of use cases. Right? >>Exactly. We, we, again, we, we leverage, we leverage these technologies and to some extent, this is, this is actually part of the, the value we talk to customers about, because this is sort of the cutting edge of technology and security. And this keeps evolving. As, as I mentioned in video, just announced their confidential GPS. We provide this layer on top of it where organizations don't have to go and kind of rebuild every application as this evolves and just use our people >>Who know me in the cube know I'm a Hawk when it comes to cybersecurity. I think the red line is people operating below the red line. And, and why should companies have to provision their own militia? Exactly. This is essentially the shield they can put up. Exactly. And not rely on the government who just know what they're doing. Exactly. >>So get exactly security should be easy. Should be, should be us everywhere. I >>Should you get a lot of banking customers, FinTech customers coming on board. Exactly. Right. Outta the gate. Yeah. Thanks for coming on the queue. Yeah. Appreciate. Thank you. Live coverage here. San Francisco, California. I'm John farrier with the cube. We'll be right back with more after this short break.