Chris Degnan, Snowflake & Chris Grusz, Amazon Web Services | Snowflake Summit 2022
(upbeat techno music) >> Hey everyone, and welcome back to theCUBE's coverage of Snowflake Summit '22 live from Caesar's Forum in beautiful, warm, and sunny Las Vegas. I'm Lisa Martin. I got the Chris and Chris show, next. Bear with me. Chris Degnan joins us again. One of our alumni, the Chief Revenue Officer at Snowflake. Good to have you back, Chris. >> Thank you for having us. >> Lisa: Chris Grusz also joins us. Director of Business Development AWS Marketplace and Service Catalog at AWS. Chris and Chris, welcome. >> Thank you. >> Thank you. >> Thank you. Good to be back in person. >> Isn't it great. >> Chris G: It's so much better. >> Chris D: Yeah. >> Nothing like it. So let's talk. There's been so much momentum, Chris D, at Snowflake the last few years. I mean the momentum at this show since we launched yesterday, I know you guys launched the day before with partners, has been amazing. A lot of change, and it's like this for Snowflake. Talk to us about AWS working together with Snowflake and some of the benefits in it from your customer. And then Chris G, I'll go to you for the same question. >> Chris G: Yep. >> You know, first of all, it's awesome. Like, I just, you know, it's been three years since I've had a Snowflake Summit in person, and it's crazy to see the growth that we've seen. You know, I can't, our first cloud that we ever launched on top of was, was AWS, and AWS is our largest cloud, you know, in in terms of revenue today. And they've been, they just kind of know how to do it right. And they've been a wonderful partner all along. There's been challenges, and we've kind of leaned in together and figured out ways to work together, you know, and to solve those challenges. So, been a wonderful partnership. >> And talk about it, Chris G, from your perspective obviously from a coopetition perspective. >> Yep. >> AWS has databases, cloud data forms. >> Chris G: Yeah. >> Talk to us about it. What was the impetus for the partnership with Snowflake from AWS's standpoint? >> Yeah, well first and foremost, they're building on top of AWS. And so that, by default, makes them a great partner. And it's interesting, Chris and I have been working together for, gosh, seven years now? And the relationship's come a really long way. You know, when we first started off, we were trying to sort out how we were going to work together, when we were competing, and when we're working together. And, you know, you fast forward to today, and it's just such a good relationship. Because both companies work backwards from customers. And so that's, you know, kind of in both of our DNA. And so if the customer makes that selection, we're going to support them, even from an AWS perspective. When they're going with Snowflake, that's still a really good thing for AWS, 'cause there's a lot of associated services that Snowflake either integrates to, or we're integrating to them. And so, it's really kind of contributed to how we can really work together in a co-sell motion. >> Talk to us, talk about that. The joint GOTO market and the co-selling motion from Snowflake's perspective, how do customers get engaged? >> Well, I think, you know, typically we, where we are really good at co-selling together is we identify on premise systems. So whether it's, you know, some Legacy UDP system, some Legacy database solution, and they want to move to the cloud? You know, Amazon is all in on getting everyone to the cloud. And I think that's their approach they've taken with us is saying we're really good at accelerating that adoption and moving all these, you know, massive workloads into the cloud. And then to Chris's point, you know, we've integrated so nicely into things like SageMaker and other tool sets. And we, we even have exciting scenarios where they've allowed us to use, you know, some of their Amazon.com retail data sets that we actually use in data sharing via the partnership. So we continue to find unique ways to partner with our great friends at Amazon. >> Sounds like a very deep partnership. >> Chris D: Yeah. Absolutely. >> Chris G: Oh, absolutely, yeah. We're integrating into Snowflake, and they're integrating to AWS. And so it just provides a great combined experience for our customers. And again, that's kind of what we're both looking forward from both of our organizations. >> That customer centricity is, >> Yeah. >> is I think the center of the flywheel that is both that both of you, your companies have. Chris D, talk about the the industry's solutions, specific, industry-specific solutions that Snowflake and AWS have. I know we talked yesterday about the pivot from a sales perspective >> Chris D: Yes. >> That snowflake made in recent months. Talk to us about the industries that you are help, really targeting with AWS to help customers solve problems. >> Yeah. I think there's, you know, we're focused on a number of industries. I think, you know, some of the examples, like I said, I gave you the example of we're using data sharing to help the retail space. And I think it's a really good partnership. Because some of the, some companies view Amazon as a competitor in the retail space, and I think we kind of soften that blow. And we actually leverage some of the Amazon.com data sets. And this is where the partnership's been really strong. In the healthcare space, in the life sciences space, we have customers like Anthem, where we're really focused on helping actually Anthem solve real business problems. Not necessarily like technical problems. It's like, oh no, they want to get, you know, figure out how they can get the whole customer and take care of their whole customer, and get them using the Anthem platform more effectively. So there's a really great, wonderful partnership there. >> We've heard a lot in the last day and a half on theCUBE from a lot of retail customers and partners. There seems to be a lot of growth in that. So there's so much change in the retail market. I was just talking with Click and Snowflake about Urban Outfitters, as an example. And you think of how what these companies are doing together and obviously AWS and Snowflake, helping companies not just pivot during the pandemic, but really survive. I mean, in the beginning with, you know, retail that didn't have a digital presence, what were they going to do? And then the supply chain issues. So it really seems to be what Snowflake and its partner Ecosystem is doing, is helping companies now, obviously, thrive. But it was really kind of like a no-go sort of situation for a lot of industries. >> Yeah, and I think the neat part of, you know, both the combined, you know, Snowflake and AWS solution is in, a good example is DoorDash, you know. They had hyper growth, and they could not have handled, especially during COVID, as we all know. We all used DoorDash, right? We were just talking about it. Chipotle, like, you know, like (laughter) and I think they were able to really take advantage of our hyper elastic platforms, both on the Amazon side and the Snowflake side to scale their business and meet the high demand that they were seeing. And that's kind of some of the great examples of where we've enabled customer growth to really accelerate. >> Yeah. Yeah, right. And I'd add to that, you know, while we saw good growth for those types of companies, a lot of your traditional companies saw a ton of benefit as well. Like another good example, and it's been talked about here at the show, is Western Union, right? So they're a company that's been around for a long time. They do cross border payments and cross currency, you know, exchanges, and, you know, like a lot of companies that have been around for a while, they have data all over the place. And so they started to look at that, and that became an inhibitor to their growth. 'Cause they couldn't get a full view of what was actually going on. And so they did a lengthy evaluation, and they ended up going with Snowflake. And, it was great, 'cause it provided a lot of immediate benefits, so first of all, they were able to take all those disparate systems and pull that into Snowflake. So they finally had a single source of the truth, which was lacking before that. So that was one of the big benefits. The second benefit, and Chris has mentioned this a couple times, is the fact that they could use data sharing. And so now they could pull in third data. And now that they had a holistic view of their entire data set, they could pull in that third party data, and now they could get insights that they never could get before. And so that was another large benefit. And then the third part, and this is where the relationship between AWS and Snowflake is great, is they could then use Amazon SageMaker. So one of the decisions that Western Union made a long time ago is they use R for their data science platform, and SageMaker supports R. And so it really allowed them to dovetail the skill sets that they had around data science into SageMaker. They could now look across all of Snowflake. And so that was just a really good benefit. And so it drove the cost down for Western Union which was a big benefit, but the even bigger benefit is they were now able to start to package and promote different solutions to their customers. So they were effectively able to monetize all the data that they were now getting and the information they were getting out of Snowflake. And then of course, once it was in there, they could also use things like Tableau or ThoughtSpot, both of which available in AWS Marketplace. And it allowed them to get all kinds of visualization of data that they never got in the past. >> The monetization piece is, is interesting. It's so challenging for organizations, one, to get that single source view, to be able to have a customer 360, but to also then be able to monetize data. When you're in customer conversations, how do you help customers on that journey, start? Because the, their competitors are clearly right behind them, ready to take first place spot. How do you help customers go, all right this is what we're going to do to help you on this journey with AWS to monetize your data? >> I think, you know, it's everything from, you know, looking at removing the silos of data. So one of the challenges they've had is they have these Legacy systems, and a lot of times they don't want to just take the Legacy systems and throw them into the cloud. They want to say, we need a holistic view of our customer, 360 view of our customer data. And then they're saying, hey, how can we actually monetize that data? That's where we do everything from, you know, Snowflake has the data marketplace where we list it in the data marketplace. We help them monetize it there. And we use some of the data sets from Amazon to help them do that. We use the technologies like Chris said with SageMaker and other tool sets to help them realize the value of their data in a real, meaningful way. >> So this sounds like a very strategic and technical partnership. >> Yeah, well, >> On both sides. >> It's technical and it's GOTO market. So if you take a look at, you know, Snowflake where they've built over 20 integrations now to different AWS services. So if you're using S3 for object storage, you can use Snowflake on top of that. If you want to load up Snowflake with Glue which is our ETL tool, you can do that. If you want to use QuickSite to do your data visualization on top of Snowflake, you can do that. So they've built integration to all of our services. And then we've built integrations like SageMaker back into Snowflake, and so that supports all kinds of specific customer use cases. So if you think of people that are doing any kind of cloud data platform workload, stuff like data engineering, data warehousing, data lakes, it could be even data applications, cyber security, unistore type things, Snowflake does an excellent job of helping our customers get into those types of environments. And so that's why we support the relationship with a variety of, you know, credit programs. We have a lot of co-sell motions on top of these technical integrations because we want to make sure that we not only have the right technical platform, but we've got the right GOTO market motion. And that's super important. >> Yeah, and I would add to that is like, you know one of the things that customers do is they make these large commitments to Amazon. And one of the best things that Amazon did was allow those customers to draw down Snowflake via the AWS Marketplace. So it's been wonderful to his point around the GOTO market, that was a huge issue for us. And, and again, this is where Amazon was innovative on identifying the ways to help make the customer have a better experience >> Chris G: Yeah. >> Chris D: and put the customer first. And this has been, you know, wonderful partnership there. >> Yeah. It really has. It's been a great, it's been really good. >> Well, and the customers are here. Like we said, >> Yep. >> Yes. Yes they are. >> we're north of 10,000 folks total, and customers are just chomping at the bit. There's been so much growth in the last three years from the last time, I think I heard the 2019 Snowflake Summit had about 1500 people. And here we are at 10,000 plus now, and standing-room-only keynote, the very big queue to get in, people turned away, pushed back to an overflow area to be able to see that, and that was yesterday. I didn't even get a chance to see what it was like today, but I imagine it was probably the same. Talk about the, when you're in customer conversations, where do you bring, from a GTM perspective, Where do you bring Snowflake into the conversation? >> Yeah >> Obviously, there's Redshift there, what does that look like? I imagine it follows the customer's needs, challenges. >> Exactly. >> Compelling events. >> Yeah. We're always going to work backwards from the customer need, and so that is the starting point for kindling both organizations. And so we're going to, you know, look at what they need. And from an AWS perspective, you know, if they're going with Snowflake, that's a very good thing. Right? 'Cause one of the things that we want to support is a selection experience to our AWS customers and make sure that no matter what they're doing, they're getting a very good, supported experience. And so we're always going to work backwards from the customer. And then once they make that technology decision, then we're going to support them, as I mentioned, with a whole bunch of co-sell resources. We have technical resources in the field. We have credit programs and in, you know, and, of course, we're going to market in a variety of different verticals as well with Snowflake. If you take a look at all the industry clouds that Snowflake has spun up, financial services and healthcare, and media entertainment, you know, those are all very specific use cases that are very valuable to an AWS customer. And AWS is going more and more to market on a vertical approach, and so Snowflake really just fits right in with our overall strategy. >> Right. Sounds like very tight alignment there. That mission alignment that Frank talked about yesterday. I know he was talking about that with respect to customers, but it sounds like there's a mission alignment between AWS and Snowflake. >> Mission alignment, yeah. >> I live that every week. (laughter) >> Sorry if I brought up a pain point. >> Yeah. Little bit. No. >> Guys, what's, in terms of use cases, obviously we've been here for a couple days. I'm sure you've had tremendous feedback, >> Chris G: Yeah. >> from, from customers, from partners, from the ecosystem. What's next, what can we expect to hear next? Maybe give us a preview of re:Invent in the few months. >> Preview of re:Invent. Yeah. No, well, one of the things we really want to start doing is just, you know, making the use case of, of launching Snowflake on AWS a lot easier. So what can we do to streamline those types of experiences? 'Cause a lot of times we'll find that customers, once they buy a third party solution like Snowflake, they have to then go through a whole series of configuration steps, and what can we do to streamline that? And so we're going to continue to work on that front. One of the other places that we've been exploring with Snowflake is how we work with channel partners. And, you know, when we first launched Marketplace it was really more of an app store model that was ISVs on one side and channel partners on the other, and there wasn't really a good fit for channel partners. And so four years ago we retrofitted the platform and have opened it up to resellers like an SHI or SIs like Salam or Deloitte who are top, two top SIs for Snowflake. And now they can use Marketplace to resell those technologies and also sell their services on top of that. So Snowflake's got a big, you know, practice with Salam, as I mentioned. You know, Salam can now sell through Marketplace and they can actually sell that statement of work and put that on the AWS bill all by virtue of using Marketplace, that automation platform. >> Ease of use for customers, ease of use for partners as well. >> Yes. >> And that ease of use is it's no joke. It's, it's not just a marketing term. It's measurable and it's about time-to-value, time-to-market, getting customers ahead of their competition so that they can be successful. Guys, thanks for joining me on theCUBE today. Talking about AWS and >> Nice to be back. Nice to be back in person. >> Isn't it nice to be back. It's great to be actually sitting across from another human. >> Exactly. >> Thank you so much for your insights, what you shared about the partnership and where it's going. We appreciate it. >> Thank you. >> Cool. Thank you. >> Thank you. >> All right guys. For Chris and Chris, I'm Lisa Martin, here watching theCUBE live from Las Vegas. I'll be back with my next guest momentarily, so stick around. (Upbeat techno music)
SUMMARY :
One of our alumni, the Chief Chris and Chris, welcome. Good to be back in person. and some of the benefits and it's crazy to see the And talk about it, Chris AWS has databases, Talk to us about it. And so that's, you know, and the co-selling motion And then to Chris's point, you know, and they're integrating to AWS. of the flywheel that is both that you are help, really targeting I think, you know, some of the examples, So it really seems to be what Snowflake and the Snowflake side And so they started to look at that, this is what we're going to do to help you I think, you know, and technical partnership. at, you know, Snowflake And one of the best And this has been, you know, It's been a great, it's been really good. Well, and the customers in the last three years I imagine it follows the And so we're going to, you That mission alignment that I live that every week. obviously we've been partners, from the ecosystem. and put that on the AWS bill all by virtue Ease of use for so that they can be successful. Nice to be back in person. Isn't it nice to be back. Thank you so much for your For Chris and Chris,
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Kevin Miller, Amazon Web Services
(uplifting music) >> The data lake we see is evolving and ChaosSearch has built some pretty cool tech to enable customers to get more value out of data that's in lakes so that it doesn't become stagnant. Time to dig deeper, dive deeper into the water. We're here with Kevin Miller, who's the vice president and general manager of S3 at Amazon Web Services. We're going to talk about activating S3 for analytics. Kevin, welcome. Good to see you again. >> Yeah, thanks, Dave. It's great to be here again. >> So S3 was the very first service offered by AWS 15 years ago. We covered that out in Seattle. It was a great event you guys had. It has become the most prominent and popular example of object storage in the marketplace. And for years, customers use S3 as simple, cheap data storage, but because there's so much data now stored in S3, customers are looking to do more with the platform. So, Kevin, as we look ahead to reinvent this year, we're super excited about that, what's new? What's got you excited when it comes to the AWS flagship storage offering? >> Yeah, Dave. Well, that's right. And we're definitely looking forward to reinvent. We have some fun things that we're planning to announce there, so stay tuned on those. But, I'd say that one of the things that's most exciting for me as customers do more with their data and look to store more, to capture more of the data that they're generating every day, is our storage class that we had an announce a few years ago. But we actually just announced some improvements to the S3, intelligent-tiering storage class. And this is really our storage class, the only one in the cloud at this point that delivers automatic storage cost savings for customers where the data access patterns change. And that can happen, for example, as customers have some data that they're collecting and then a team spins up and decides to try to do something more with that data, and that data that was very cool and sitting sort of idle is now being actively used. And so with intelligent tiering, we're automatically monitoring data. And then, for customers there's no retrieval costs and no tiering charges. We're automatically moving the data into an access tier that reduces their costs, though, when that that data is not being accessed. So we've announced some improvements to that just a few months ago. And I'll just say, I look forward to some more announcements at reinvent, that will continue to extend what we have in our intelligent-tiering storage class. >> That's cool, Kevin. I mean, you've seen, you know, that technology, that tiering concept had been around, you know. But since back in the mainframe days the problem was it was always inside a box. So you didn't have the scale of the cloud and you didn't have that automation. So, I want to ask you, as the leader of S3, that business, when you meet with customers, Kevin, what do they tell you that they're facing as challenges when they want to do more, get better insights out of all that data that they've moved into S3? >> Well, I think that's just it, Dave. I think that most customers I speak with, of course they have the things that they want to do with their storage costs, you know: reducing storage costs and just making sure they have capacity available. But increasingly I think the real emphasis is around business transformation. What can I do with this data, that's very unique and different that unlike, you know, prior optimizations where it would just reduce the bottom line, they're saying, what can I do that will actually drive my top line more by either, you know, generating new product ideas, allowing for faster closed-loop process for acquiring customers? And so it's really that business transformation and everything around it that I think is really exciting. And for a lot of customers, that's a pretty long journey. And helping them get started on that, including transforming their workforce, and up-skilling, you know, parts of their workforce to be more agile and more oriented around software development, developing new products using software. >> So when I first met the folks at ChaosSearch, Thomas took me through sort of the architecture with Ed as well. They had me at "you don't have to move your data." That was the grabber for me. And there are a number of public customers, Digital River, Blackboard, or Klarna, we're going to get the customer perspective little later on, and others, that use both AWS S3 and ChaosSearch. And they're trying to get more out of their S3 data and execute analytics at scale. So, wonder if you could share with us, Kevin, what types of activities and opportunities do you see for customers like these that are making the move to put their enterprise data in S3, in terms of capabilities and outcomes that they are trying to achieve and are able to achieve beyond using S3 as just a bit bucket? >> Right. Well, Dave, I think you hit the nail on the head when you talk about outcomes. 'Cause that, I think, is key here. Customers want to reduce the time it takes to get to a tangible result that affects their business, that improves their business. And so that's one of the things that excites me about what ChaosSearch is doing here, specifically is that automatic indexing. Being able to take the data, as it is, in their bucket, index it and keep that index fresh and then allow for the customers to innovate on top of that and to try to experiment with a new capability, see why it works and then double down on the things that really do work to drive that business. And so, I just think that that capability reduces the amount of what I might call undifferentiated heavy-lifting the work to just sort of index and organize and catalog data. And instead allow customers to really focus on here's the idea, let's try to get this into production or into a test environment as quickly as possible to see if this can really drive some value for our business. >> Yeah, so you're seeing that sort of value that you've mentioned, the non-differentiated heavy-lifting, moving up the stack, right? It used to just be provisioning and managing the storage. Now it's all the layers above that. And we're going beyond that. So my question to you, Kevin, is, how do you see the evolution of all this data at scale? I'm especially interested as it pertains to data that's, of course, in S3, which is your swim lane. When you talk to customers who want to do more with their data and analytics, and, by the way, even beyond analytics, you know, where it's having conversations now in the community about building data products and creating new value. But how do you respond and how do you see ChaosSearch fitting in to those outcomes? >> Well, I think that's it, Dave. It's about kind of going up the stack and instead of spending time organizing and cataloging data, particularly as the data volumes get much larger. When modern customers and modern data lakes that we're seeing, quickly go from a few petabytes to tens, to hundreds of petabytes or more. And, when you're reaching that kind of scale of data, a single person can't reasonably kind of wrap their head around all that data, you need tools. S3 provides a number of first party tools. And, you know, we're investing in things like our S3 batch operations to really help give the end users of that data, the business owners that leverage to manage their data at scale and apply their new ideas to the data and generate, you know, pilots and production work that really drives their business forward. And so I think that, you know, ChaosSearch, again, I would just say is a good example of, you know, the kind of software that I think helps go upstack, automate some of that data management, and just help customers focus really specifically on the things that they want to accomplish for their business. >> So this is really important. I mean, we've talked for well over a decade, how to get more value out of data, and it's been challenging for a lot of organizations. But we're seeing themes of scale, automation, fine-grain tooling ecosystem participating on top of that data and then extracting that data value. Kevin, I'm really excited to see you face to face at Reinventing, and learn more about some of the announcements that you're going to make. We'll see you there. >> Yeah. Stay tuned. Looking forward to seeing you in person. Absolutely. >> All right. Great to have Kevin on. Keep it right there because in a moment we're going to get the customer perspective on how a leading practitioner is applying ChaosSearch on top of S3 to create business value from data. You're watching The Cube, your leader at digital high-tech coverage. (uplifting music)
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Kevin Miller, Amazon Web Services | ChaosSearch: Make Your Data Lake Deliver
>>Welcome back. I really liked the drill down a data lakes with ed Walsh and Thomas Hazel. They building some cool stuff over there. The data lake we see it's evolving and chaos search has built some pretty cool tech to enable customers to get more value out of data that's in lakes so that it doesn't become stagnant. Time to dig, dig deeper, dive deeper into the water. We're here with Kevin Miller. Who's the vice president and general manager of S3 at Amazon web services. We're going to talk about activating S3 for analytics. Kevin, welcome. Good to see you again. >>Yeah, thanks Dan. It's great to be here again. So >>S3 was the very first service offered by AWS 15 years ago. We covered that out in Seattle. It was a great event you guys had, it has become the most prominent and popular example of object storage in the marketplace. And for years, customers use S3 is simple, cheap data storage, but because there's so much data now stored in S3 customers are looking to do more with the platform. So Kevin, as we look ahead to reinvent this year, we're super excited about that. What's new. What's got you excited when it comes to the AWS flagship storage offering. >>Yeah. Dan, well, that's right. And we're definitely looking forward to reinvent. We have some fun things that we're planning to announce there. So stay tuned on those, but I'd say that one of the things that's most exciting for me as customers do more with their data and look to store more, to capture more of the data that they're generating every day is our storage class that we had an announced a few years ago, but we, we actually just announced some improvements to the S3 intelligent tiering storage class. And this is really our storage class. The only one in the cloud at this point that delivers automatic storage cost savings for customers where the data access patterns change. And that can happen. For example, as customers have some data that they're collecting and then a team spins up and decides to try to do something more with that data and that data that was very cool and sitting sort of idle is now being actively used. And so with intelligent tiering, we're automatically monitoring data. And then there's for customers. There's no retrieval costs and no tiering charges. We're automatically moving the data into an access tier that reduces their costs though. And that data is not being accessed. So we've announced some improvements to that just a few months ago. And I'll just say, I look forward to some more announcements at reinvent that will extend, continue to extend what we have in our intelligent tiering storage class. >>That's cool, Kevin. I mean, you've seen, you know, that technology, that tiering concept had been around, you know, but since back in the mainframe days, the problem was, it was always inside a box. So you, you didn't have the scale of the cloud and you didn't have that automation. So I want to ask you as the leader of that business, when you meet with customers, Kevin, what do they tell you that they're there they're facing as challenges when they want to do more, get better insights out of all that data that they've moved into S3? >>Well, I think that's just it, Dave. I think that most customers I speak with they, of course they have the things that they want to do with their storage costs and reducing storage costs and just making sure they have capacity available. But increasingly I think the real emphasis is around business transformation. What can I do with this data? That's very unique and different than either that unlike, you know, prior optimizations where it would just reduce the bottom line, they're saying, what can I do that will actually drive my top line more by either, you know, generating new product ideas, um, allowing for faster, you know, close, closed loop process for acquiring customers. And so it's really that business transformation and all, everything around it that I think is really exciting. And for a lot of customers, that's a pretty long journey and, and helping them get started on that, including transforming their workforce and up-skilling, you know, parts of their workforce to be more agile and more oriented around software development, developing new products using software. >>So w when I first met the folks at, at chaos search, you know, Thomas took me through sort of the architecture w with ed as well. They had me at, you don't have to move your data. That was saying that was the grabber for me. And there are a number of public customers that digital river, uh, Blackboard or Klarna, we're going to get the customer perspective little later on and others that use both AWS S3 and chaos search. And they're trying to get more out of their, their S3 data and execute analytics at scale. So wonder if you could share with us Kevin, what types of activities and opportunities do you see for customers like these that are making the move to put their enterprise data in S3 in terms of capabilities and outcomes that they are trying to achieve and are able to achieve beyond using S3 is just a Bitbucket, >>Right? Well, Dan, I think you hit the nail on the head when you talk about outcomes. Cause that I think is, is key here. Customers want to reduce the time it takes to get to a tangible result that it affects the business that improves their business. And so that's one of the things that I excites me about what CAS search is doing here specifically is that automatic indexing, being able to take the data as it is in their bucket, index it and keep that index fresh and then allow for the customers to innovate on top of that and to try to experiment with a new capability, see, see what works and then double down on the things that really do work to drive that business. And so I just think that that capability reduces the amount of what I might call undifferentiated, heavy, lifting the work to just sort of index and organize and catalog data. And instead allow customers to really focus on here's the idea. Let's try to get this into production or into a test environment as quickly as possible to see if this can really drive some value for our business. >>Yeah. So you're seeing that sort of value that you've mentioned the non-differentiated heavy lifting, moving up the stack, right. It used to just be provisioning and managing the, now it's all the layers above that and it would go and beyond that. So my question to you, Kevin, is how do you see the evolution of this, all this data at scale I'm especially interested in, as it pertains to data that's of course, an S3, which is your swim lane. When you talk to customers who want to do more with their data and analytics, and by the way, even beyond analytics, you know, where it's having conversations now in the community about, about building data products and creating new value, but how do you respond and how do you see chaos search fitting in to those outcomes? >>Well, I think that's, that's it Dave, it's about kind of going up the stack and instead of spending time organizing and cataloging data, particularly as the data volumes give much larger when the modern customers and modern data lakes that we're seeing quickly go from a few petabytes to tens, to hundreds of petabytes or more. And when you reaching that kind of scale of data, it's a single person can reasonably kind of wrap their head around all that data. You need tools as three provides a number of first party tools and, you know, we're investing in things like our S3 batch operations to really help give the end users of that data, the business owners that leverage to manage their data at scale and apply their new ideas to the data and generate, you know, pilots and production work that really drives their business forward. And so I think that, you know, cast search again, I would just say as a good example of, you know, the kind of software that I think helps go, upstack automate some of that data management and just help customers focus really specifically on the things that they want to accomplish for their, their business. >>So this is, >>I mean, we've talked for well over a decade, how to get more value out of data. And it's been challenging for a lot of organizations, but we're seeing, we're seeing themes of scale automation, fine-grain tooling ecosystem participating, uh, on top of that data and then extracting that, that data value who Kevin, I'm really excited to see you face to face at re-inventing and learn more about some of the announcements that you're going to make. We'll see you there. >>Yeah. Stay tuned. Looking forward to seeing in person absolutely >>Have Kevin on, keep it right there because in a moment we're going to get the customer perspective on how a leading practitioner is applying chaos search on top of S3 to create a business value from data you're watching the cube, your leader, digital high tech coverage.
SUMMARY :
Good to see you again. So stored in S3 customers are looking to do more with the platform. And I'll just say, I look forward to some more announcements at reinvent that will extend, that business, when you meet with customers, Kevin, what do they tell you that they're And so it's really that business transformation and all, everything around it that I think is really exciting. So w when I first met the folks at, at chaos search, you know, And so that's one of the things that I excites So my question to you, Kevin, is how do you see the evolution of this, And so I think that, you know, cast search again, I would just say as a good example of, you know, I'm really excited to see you face to face at re-inventing and learn more about some Looking forward to seeing in person absolutely of S3 to create a business value from data you're watching the cube,
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Linda Tong, AppDynamics & Dave McCann, Amazon Web Services | AWS re:Invent 2020
>> Narrator: From around the globe, it's theCUBE with digital coverage of AWS re:Invent 2020 sponsored by Intel, AWS and our community partners. >> Hello, welcome back to theCUBE's Virtual Coverage of AWS re:Invent 2020 virtual. Normally we're in person. This year because of the pandemic, we're doing it remote. We're Cube Virtual covering AWS re:Invent Virtual. I'm John for your host. We are theCUBE Virtual, two great guests here Linda Tong a general manager, AppDynamics and Dave McCann vice-president of AWS migration, marketplace and control services. Welcome to theCUBE. >> Thanks so much for having us. >> Good to see you again John. >> Linda we were talking to some AppDynamics folks and some of your customers, obviously we've been following the growth of the marketplace for many years. The confluence of the tailwinds of the innovation going on with COVID and post COVID strategies is about helping customers where they are and they're not in the office anymore. They got to get the job done. This is really important on this cloud migration of getting software in the hands of people to write these modern apps. It's a big theme. What's your perspective on this right now, because you guys are partnered with Amazon, share your vision. >> Yeah, absolutely. And you nailed it. It's with COVID-19 our customers like IT organizations are finding this need to accelerate their migration to the cloud. And what's more important is they're finding that more and more of their customers are engaging through digital experiences and with the influx of people leaning on those digital experiences during COVID, performance issues are becoming more and more apparent. And so we're helping our customers as they migrate to the cloud. And specifically to AWS, it's a big partnership for us because we need to understand how our customers and how they manage performance through these transitions can stay flawless so that they can manage those experiences for their end users. >> Yeah, Dave, I've been watching this discovery observation space, observability, service meshes, Kubernetes, cloud native higher level services have really gotten popularity have gone mainstream. So there's more and more demand for I won't call it point products. That's an old term, but in the cloud, these are just higher level services that people are adopting more of. You're seeing huge pickup in the marketplace of companies who are selling through there and engaging but it's not just selling, you're integrating. What's your vision for all of this? >> So, John, you're absolutely right. Our customers as they migrate more and more applications to the cloud and in some regulated industries they still have applications running on premise. They're really actually standing up a new operating model where they not only want observability of what's going on but I feel what we would call service management framework or a set of tools to manage the application portfolio. And companies around the world are putting together new common instance of AWS native services, such as CloudWatch CloudTrail, Service Catalog, AWS Config, Control Tower with best in class vendors like Cisco AppDynamics. And each company is building their own collection of tools into management framework that allows them to optimally modernize and manage their application portfolio. And it's a rising topic around the world. >> Linda, I want to get back to you on AppDynamics you're the leader of the team as general manager, congratulations. You know a little bit about software in the cloud and CloudScale and your career going back to Google now at AppDynamics you've seen a lot of the changes. What specifically value do you see AppDynamics and Amazon bringing to the market today? Because the world's changed. It's still large scale, there's faster speed but you can't just buy things like anymore, I've got to go in send a ticket request, go to procurement, developers want to integrate immediately. They need to integrate when they see a problem they got to integrate technology. This seems to be a trend. What's your, where is AppDynamics bringing the value of AWS to the market? >> Absolutely I think it's threefold. One it's for a lot of these developers, as they start to migrate their applications and modernize them with AWS and all the great services that are available we can partner to help them with that modernization effort while giving them visibility into the performance of those applications to make sure that they don't miss a beat as they deploy those on these new sets of services over AWS. The second thing is, for those customers that are leveraging AWS for that migration, we have a seamless integration between AppDynamics and AWS. So you can buy our service directly through AWS marketplace. So that becomes a really easy procurement. And then on top of that, as, a lot of developers have to manage hybrid employments, so new modern applications has done AWS as well as some of their traditional applications that are talking to each other. They can get that full end to end visibility leveraging AppDynamics so that they can understand what's going on across the entirety of their business as they start to lead these transformations across our organization. >> Dave, just comment on if you can, 'cause I know a little bit about some of the things you put in place, the enterprise I forget development or sales program where at the prices can be more friendly. I think this is kind of a use case where this is proving enterprises can get what they need in the marketplace that not only is it successful but you have traction with this. What's you take on... >> There's a number of motions that we're doing there John, to help large companies around the world who may have, dozens, hundreds and in comes cases with fortune 100 they're thousands of applications. And so you actually have to solve multiple challenges that the company has. On the procurement side, we're obviously working with AppDynamics to publish as a service right in AWS marketplace. And we have over 300,000 customers worldwide only AWS marketplace who are subscribing to software and provisioning out to hundreds and thousands of developers, all of whom are using their own AWS accounts. So on that provisioning and subscription experience we work deeply with the AppDynamics team to meet that a really seamless experience from discovery to provision to meter and billing. On the interoperability front, as Linda mentioned, our customers want these best in class tools like AppDynamics to work well with the other AWS services so that they can really have a very modern DevOps pipeline for those applications that are moving to more of a CICD model. And for people who are still running in a bit more of an Intel, ITSM model, they've still got to manage and monitor applications that haven't quite got there in the full modernization stack. So this is actually happening not just with the customer, the enterprise or with the ISV AppDynamics, this transitions' also working with all the consulting firms. And a lot of the large software resellers around the world, the computer centers of Europe the right spaces, the presidios of North America. The DXEs of Asia Pacific. These consulting partners are also using tools such as AppDynamics so to become a managed service provider. And in some cases on that journey to the cloud no join the customer saying I'm really busy I'm modernizing applications. Hey consulting partner, can you manage some part of my infrastructure, some part of my stack? And tools like AppDynamics and Kubernetes and AWS become really central tool kits to the new emerging managed service providers that are all around the world. >> Yeah, and I talked about this years ago with Andy Jassy and I think we were riffing on this run this new set of category creations of services and companies. Linda this appears to be one of those cases where, there's a category with existing spend and existing customers. So what he just said is interesting. And I want to get your thoughts because these are these points of these new areas where AppDynamics can potentially help enterprises. What are some of the areas that you see AppDynamics helping enterprises in their cloud adoption journey 'cause they want some cloud native we see Hybrid and all the announcements, Outpost, now Edge it's a distributed computer. You need to have software at every piece of the puzzle. So what's your, what areas can you share specifically? >> Absolutely and so, like Dave was just saying it's, as these organizations start to make these major cloud migrations, one, their applications are getting actually significantly more complex than they've ever been. And they're now spanning a much broader ecosystem than they've ever spanned before. So that the kind of coverage that IT organizations and DevOps needs to cover not only is seeing this explosion of data but it's also now spanning areas of control that some of these folks have never had to think about before. And so the value of AppDynamics is our ability to be able to ingest data from your cloud native applications your traditional applications, all different sources of domain data that you want to get including things like security data. So we can start to correlate that in a meaningful way and then tie that back to business insights. And so the way that AppDynamics is actually bringing value to the table is not only helping our customers get visibility across the entire stack, but actually only surfacing the most meaningful insights to help them act on that those performance issues that they might see and more meaningfully manage their businesses. >> Linda I think you guys are onto something really big not just on the wave and just the positioning but one of the trends that we're reporting and we're going to be teasing out all week three weeks here is automation is great but that's just baseline. Everything is a service really speaks to some of the things that you guys have to put in place 'cause the mandate is everything should be a service. Now, I mean, I'm overgeneralizing but that's generally the ivory tower C suite message. Make it as a service cloud scale is beautiful, but then you when you pass it down to the teams, that's like that's not easy boss. It's not easy to do. That's really kind of what you're getting at here. It's not just automation and DevOps. It's the business model. >> Absolutely it's the intelligence it's once you create thousands and thousands of services, how do you manage them effectively and know what matters and what doesn't? >> Dave your final word here on on this point is when you think about that if you believe that to be true, then I'm just going to be downloading services whenever I need them. So it's almost like quasi self service managed services kind of coming together in real time or with my off base there. What's your take on that? >> No, we're actually working together with that dynamic and so all these kinds of things. So as we proliferate services, John and, AWS has got over 175 services and application is made up of many components. So how do you actually correlate an associate all the resources that make up that application? And if you think about dynamics name is the application and dynamics what's going on with the application. So we actually just launched today service catalog application registry, which is a new API surface for the AWS service catalog that allows you to define NGS on all the AWS resources from a cloud formation stack set all the way down into an easy to instance and associate that's an application known. And so the higher level of abstraction is what we talked about is management of the application. And what customers want to do, CIO's want to manage the application all the resources associated through the application whether the application is running well, is it secure? Is it on budget? Whether it's actually running? So application management is kind of where people are going even though their application is made up of dozens of associated services. So this is the next frontier. >> Well you guys are just great to have on world-class partnership two leaders, AppDynamics, story history they continue to do well. And even now with the world going on, Dave congratulations on your success. Final question for both of you is, where's the partnership go from here? I think it's a great success story. What's in the store for the future? >> Linda. >> Yeah to the moon. It's look AWS is an amazing partner. And Dave is a great guy to work with and where we are going is to help our customers build world-class applications and be able to manage them and modernize those effectively. And there's no way we could do that without partners at AWS. So it's a, there's a long-term relationship here. >> Well, congratulations, Linda Tong general manager AppDynamics. Thanks for coming on, and virtually at least we'll see you on the Interwebs during the next couple of weeks here, Virtual re:Invent Dave McCann. Of course, we'll see you again and great to watch you continue to grow. Is there any new title is going to add to your thing marketplace now it's migration, control services come on. >> With innovation culture we keep innovating. >> Great to have you guys on. Thanks for, thanks for sharing, appreciate it. >> John, Linda thank you very much. >> Thanks. >> Thanks for that great insight. Really appreciate it. I'm John from theCUBE you're watching coverage of re:Invent 2020. This is theCUBE virtual. (upbeat music)
SUMMARY :
Narrator: From around the globe, Welcome to theCUBE. in the hands of people to as they migrate to the cloud. pickup in the marketplace And companies around the world of AWS to the market? as they start to lead about some of the things you put And a lot of the large software Linda this appears to be So that the kind of coverage of the things that you going to be downloading about is management of the application. story history they continue to do well. And Dave is a great guy to work with and great to watch you continue to grow. we keep innovating. Great to have you guys on. Thanks for that great insight.
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Wayne Duso, Amazon Web Services | AWS Storage Day 2019
>>This is >>Dave Volante, and welcome to Storage Day. We're here at Amazon and Boston and you're watching the Cube. Wayne do so is here. He's the general manager of a lot of stuff. File hybrid edge transfer and data protection Service is at Amazon. Web service is good to see you, Wayne. Thanks. >>Good to see you. >>So let's talk about that. That's a pretty vast portfolio that you have explained that to our audience. >>Sure thinks so. The portfolio that I'm responsible for covers a vast swath of our stories portfolio on AWS. So in that we cover all of our files. Service's s Oh, that's E f s and FSX. Our data transport service is which includes data sync, transfer for sftp and our snowball or snow service's. And then also hybrid edge, which includes our snowball, compute and our stories, Gateway Service's and then data protection, which includes a W s back up. >>Wow. Okay, great. Congratulations on that portfolio. And, you know, I said I said earlier on it started with s3, and it's just exploded. Now all the service is this is part of what we sometimes call tongue and cheek cloud to 0.0, there's more work loads, more capabilities, more granularity. But talk about some of the big picture macro trends that you guys see in the marketplace. Specific Thio Sort of your area. >>Yes. So, uh, actually, it's so many, uh, think you said things are expanding. Things are accelerating in our space. One of things I like thio talk about with respect to our portfolio is we have storage service is dated. Transport service is to match the needs of your workloads and your applications. So all of these service is a purpose built for the type of storage that you need, the programming model that you need for your applications and workloads. So whether it's object storage with s3 and glacier or block storage with BBS or most recently, file service with F s and F S X file service is so you have the tools at your disposal. It'll that you need based on your on your application. Workloads. >>Talk more about the programming model. What? How do you envision that? What do you What do you mean? What's your mental model of the different >>process? You're so forever. People have been programming based on, you know, whether it's performance or or some scale of some sort. Um, you know, uh, databases traditionally used block storage because they don't need a lot of logic between them and the storage medium itself. File storage is been used for 50 years and has a very specific program model that exist in every operating system in every programming language. You know, whether it's an open, ah, read right, see close. It's a common paradigm that is used all over the place and that capability in the performance that you need to satisfy those applications and workloads very specific. And so for for aws, we provide those final systems for for Lennox, if you would with F House Windows, which is ever sex for Windows and for very high performance computing on luster. We've had an amazing storage platform, which is s3 and S three forms the basis for a lot of our customers data lakes on and basically storage data repositories, for which there are many integrations. With that, there are other >>sword service's. I often joke that, you know, if your expertise is is unpacking boxes plugging in setting up storage arrays, managing London's you, you might want to think about updating. You know your skill sets right, But so that's another big mega trend that we certainly see is people just don't see a lot of value in planning and managing and migrating over six month periods. Storage a raise. It's It's something that really doesn't have a lot of value to the business. So you guys have announced all these service is over the years and you've got some new announcements as well, that kind of play into some of the trends that we've been talking about. Talk about the news. >>Yes, that the news is pretty rich. Uh, for this season, let's let's start off with FSX eso FSX is our service for bringing fully manage third party or open source file systems, um, to our customers. And so Fsx Windows, as example, was launched last year, reinvent and has been rolling out the whole Siri's of features throughout the year, and we have a nice set of features coming out this year. So, as example today, effort, Sex Windows is a single ese service. We are rolling out multi easy capability, >>okay? And you you Sometimes you guys make the point that the beauty is there's no change required in APS, and we talked earlier about the program. We'll talk a little bit more about that. Why is that important to customers, >>you know and all index on FXX windows for another minute. A lot of abs been written to use the semantics of a particular file system in case of Windows will say NT f s and their written for that specific file system. We've provided customers with the capability of bringing those applications to AWS without any wary of compatibility. It's a pure lift and shift model. S O makes it really easy for them to bring their workloads. They should bring their workload so they don't have to deal with some of things you brought up early around provisioning buying systems, having to worry about saying that, planning for all of that. We take all of that work away from them and they get full compatibility based on what they need today and with some of the additional capabilities we're bringing to bear with the integrations in the ecosystem and heat up US ecosystem, they'll be able to appreciate those as well. >>Let's talk a little bit about more about that because you're basically, I'm inferring you're saying, Hey, this compelling reasons why you should move into the cloud. For instance, File Service's into the cloud. What's the difference between my on Prem? Isn't just on Prem Nass stuffing it into the cloud? Or is it more than you touched on integration? So convince me, why should I move? >>It's so much more than that. So if we if we look at the basic infrastructure once you literally click three or four buttons, Thio started files and creative file system, you no longer have to worry about it ever again. So the things that you have done on Prem, you no longer have to worry about having a sword administrator or having to provision in by storage and maintain it. We take care of all that would take care of all the security elements. I'm so important to your data to make sure that's in a in a secure environment. Security. It's job number one for us. So all of these capabilities and the ability to stand it up to never have to manage it never adorable security. We take care of all the capabilities like you should really be bringing those workloads onto a platform like this so that you can spend your time on added value. Um, service is our applications for your >>business, while in the integration is also a key piece of it. I mean, you know, for years, customers and customers still sometimes want to roll their own. You know, they like to have the you know, the knobs and turn them. But but many customers that we talked or saying Listen, it's too expensive. I don't want to be a systems integrator anymore in the cloud. How can they take advantage of those? Like sometimes they call it the flywheel effect. But the other innovations that you're bringing, whether it's machine learning or other service, is that you guys are bringing in. Is that how tight is that? Integration. >>So those integrations are ongoing, and they're there forever. It goes back to what I said a minute around over a three year period. All of these capabilities gonna be delivered to them, if you would at this at the same cost as the basic service. So let's talk about what happened this year. Um ah, lot of our customers are using sage maker for their M. L A I capabilities and sage maker is deeply integrated with both fsx luster and uh, E F s so that customers again don't have to worry about stories. They're not the way about sharing that are scaling. It's all there for them. >>You mentioned. Also you responsible for the snow product convention an edge. I was what it was to me. It was your first move, so the hybrid, I'll call it. But I always joke that, but it's true. The fastest way to get data from Point A to point B is a Chevy truck, and so, but you're referring to a sort of an edge play. You talk a little bit more about that, help us understand it. >>Sure, so Snowball, a service launched about five years ago. We initially launched a service as a bulk data migration service, and it's it's been that service for roughly four years. About a year ago, a little over a year ago, we started introducing thehe bility to have compute as part of that device, and the reason for that was customers were telling us as we're moving the data, we would like to be able to do some pre processing before it makes it onto AWS before it goes into history, is example. So we started providing that capability that ended up expanding into a full blown if you would cloud platform on a device that could be run in disconnected environments or stare environments. So with Snowball today of the ability to have easy two instances CBS storage s3 storage all in one device. And so that's a really powerful construct because you can build your applications on AWS using the same service is prove out if you wouldn't Dev UPS model that there what you need to be and then literally lift them onto, ah, snowball device and have those executing in the field as if they were running directly in the cloud. >>Change the subject a little bit when I look at the logo slide of all your customers, a lot of big names on their their global companies, a lot of things. So I run a cloud and they got a data center. You know he's Boston or something. No offense if you have a data center, East Boston, but regions are critical, um, especially for global scale. Cloud brings global scale, but it's also important to have data approximate to the users. So you're reducing late and see there's availability and redundancy aspects. Talk about your philosophy around regions and how it fits into your portfolio. How do you take advantage of all that capability? >>So a lot of our customers have global presence and the ability for them to have their application to have their business function in the regions that they're doing business and have those little agencies and also the availability model of being in multiple places. Case of disasters super important. Um, are regions are built, have at minimum three availability zones and an availability zone. You could think of boat as, ah, data center. So, for example, with the F. S. When you stand up a file system with the F S, your file system is automatically distributed, replicated across all three availability zones within that region. But as the user, you don't worry about any of that. We take care of it all for you. In the unfortunate event that our availability zone is made unavailable, your data is still fine. You still have access to that data all time? >>Yeah, and your customers, I think increasingly understanding this the beginning toe architect around regions and availability zones. It's a different way of thinking, but it's in some respects sort of the modern way of thinking. >>If you if you if you go back a few years and you think about all of the disaster recovery or business continue in software and capabilities that had been created, we're providing all of those capabilities today in our regional construct. >>Yeah, well, you know this. I mean, you both better have been around for a while, and we've seen the unnatural acts that you had to do to sort of create that level of redundancy and business continuance. And it was extremely expensive, complex and really risky to test. So I'll, uh, I'll leave you with the last word. Any other thoughts that you want to share with our audience? We're >>We're We're just first off. Thank you for giving you the time. Today. We're really excited about what we're doing with each of these. Service is we're very excited about the portfolio overall on the value that it's going to bring, and he's bringing to our customers today. We're excited about all the announcements. >>Yeah, we'll say we're seeing a lot of innovation. Expansion of the Amazon portfolio. Optionality, granularity performance, horses for courses, the right tool for the right job way. Thanks so much for coming to >>my pleasure. Thank you. >>You're welcome. All right. Keep it right to everybody. You watching the cube storage day from Amazon in Boston? Right back.
SUMMARY :
He's the general manager of a lot of stuff. That's a pretty vast portfolio that you have explained that to our audience. So in that we cover all of our files. And, you know, I said I said earlier on it started with s3, and it's just exploded. the programming model that you need for your applications and workloads. What do you What do you mean? that you need to satisfy those applications and workloads very specific. I often joke that, you know, if your expertise is is unpacking boxes Yes, that the news is pretty rich. And you you Sometimes you guys make the point that the you know and all index on FXX windows for another minute. Hey, this compelling reasons why you should move into the cloud. So the things that you have done on Prem, you no You know, they like to have the you know, the knobs and turn them. All of these capabilities gonna be delivered to them, if you would Also you responsible for the snow product convention an edge. you can build your applications on AWS using the same service is prove How do you take advantage of all that capability? So a lot of our customers have global presence and the ability for them to but it's in some respects sort of the modern way of thinking. If you if you if you go back a few years and you think about all of the disaster recovery or business continue in acts that you had to do to sort of create that level of redundancy and business continuance. Thank you for giving you the time. Expansion of the Amazon portfolio. Thank you. Keep it right to everybody.
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Duncan Lennox, Amazon Web Services | AWS Storage Day 2019
[Music] hi everybody this is David on tape with the Cuban welcome to Boston we're covering storage here at Amazon storage day and we're looking at all the innovations and the expansion of Amazon's pretty vast storage portfolio Duncan Lennox is here is the director of product management for Amazon DFS Duncan good to see it's great to be here so what is so EF s stands for elastic file system what is Amazon EFS that's right EFS is our NFS based filesystem service designed to make it super easy for customers to get up and running with the file system in the cloud so should we think of this as kind of on-prem file services just stuck into the cloud or is it more than that it's more than that but it's definitely designed to enable that we wanted to make it really easy for customers to take the on pram applications that they have today that depend on a file system and move those into the cloud when you look at the macro trends particularly as it relates to file services what are you seeing what a customer's telling you well the first thing that we see is that it's still very early in the move to the cloud the vast majority of workloads are still running on Prem and customers need easy ways to move those thousands of applications they might have into the cloud without having to necessarily rewrite them to take advantage of cloud native services and that's a key thing that we built EFS for to make it easy to just pick up the application and drop it into the cloud without the application even needing to know that it's now running in the cloud okay so that's transparent to the to the to the application and the workload and it absolutely is we built it deliberately using NFS so that the application wouldn't even need to know that it's now running in the cloud and we also built it to be elastic and simple for the same reason so customers don't have to worry about provisioning the storage they need it just works NFS is hard making making NFS simple and elastic is not a trivial engineering task is it it hadn't been done until we did it a lot of people said it couldn't be done how could you make something that truly was elastic in the cloud but still support that NFS but we've been able to do that for tens of thousands of customers successfully and and what's the real challenge there is it to maintain that performance and the recoverability from a technical standpoint an engineering standpoint what's yes sir it's all of the above people expect a certain level of performance whether that's latency throughput and I ops that their application is dependent on but they also want to be able to take advantage of that pay-as-you-go cloud model that AWS created back with s3 13 years ago so that elasticity that we offer to customers means they don't have to worry about capex they don't have to plan for exactly how much storage they need to provision the file system grows and shrinks as they add and remove data they pay only for what they're using and we handle all the heavy lifting for them to make that happen this this opens up a huge new set of workloads for your customers doesn't it it absolutely does and a big part of what we see is customers wanting to go on that journey through the cloud so initially there starting with lifting and shifting those applications as we talked about it but as they mature they want to be able to take advantage of newer technologies like containerization and ultimately even service all right let's talk about EFS ia infrequently access files is really what it's designed for tell us more about it right so one of the things that we heard a lot from our customers of course is can you make it cheaper we love it but we'd like to use more of it and what we discovered is that we could develop this infrequent access storage class and how it works is you turn on a capability we call lifecycle management and it's completely automated after that so we know from industry analysts and from talking to customers that the majority of data perhaps as much as 80% goes pretty cold after about a month and it's rarely touched again so we developed the infrequent access storage class to take advantage of that so once you enable it which is a single click in the console or one API call you pick a policy 14 days 30 days and we monitor the readwrite IO to every file individually and once a file hasn't been read from or written to in that policy period say 30 days we automatically and transparently move it to the infrequent access storage class which is 92% cheaper than our standard storage class it's only two and a half cents in our u.s. East one region as opposed to 30 cents for our standard storage class two and a half cents per per gigabyte per gigabyte month we've done about four customers that were particularly excited about is that it remains active file system data so we move your files to the infrequent access storage class but it does not appear to move in the file system so for your applications and your users it's the same file in the same directory so they don't even need to be aware of the fact that it's now on the infrequent access storage class you just get a bill that's 92 percent cheaper for storage for that file like that ok and it's and it's simple to set up you said it's one click and then I set my policy and I can go back and change my that's exactly right we have multiple policies available you can change it later you can turn off lifecycle management if you decide you no longer need it later so how do you see customers taking advantage of this what do you expect the adoption to be like and what are you hearing from them well what we heard from customers was that they like to keep larger workloads in their file systems but because the data tends to go cold and isn't frequently accessed it didn't make economic sense to say to keep large amounts of data in our standard storage class but there's advantages to them in their businesses for example we've got customers who are doing genomic sequencing and for them to have a larger set of data always available to their applications but not costing them as much as it was allows them to get more results faster as one example you obviously see that yeah what we're what we're trying to do all the time is help our customers be able to focus less on the infrastructure and the heavy lifting and more on being able to innovate faster for their customer so Duncan Duncan some of the sort of fundamental capabilities of EFS include high availability and durability tell us more about that yeah when we were developing EFS we heard a lot from customers that they really wanted higher levels of durability and availability than they typically been able to have on Prem it's super expensive and complex to build high availability and high durability solutions so we've baked that in as a standard part of EFS so when a file is written to an EFS file system and that acknowledgement is received back by the client at that point the data is already spread across three availability zones for both availability and durability what that means is not only are you extremely unlikely to ever lose any data if one of those AZ's goes down or becomes unavailable for some reason to your application you continue to have full read/write access to your file system from the other two available zones so traditionally this would be a very expensive proposition it was sort of on Prem and multiple data centers maybe talk about how it's different in the clouds yeah it's complex to build there's a lot of moving parts involved in it because in our case with three availability zones you were talking about three physically distinct data centers high-speed networking between those and actually moving the data so that it's written not just to one but to all three and we handled that all transparently under the hood in EFS it's all included in our standard storage to your cost as well so it's not something that customers have to worry about more either a complexity or a cost point of view it's so so very very I guess low RPO and an RTO and my essentially zero if you will between the three availability zones because once your client gets that acknowledgement back it's already durably written to the three availability zones all right we'll give you last word just in the world of file services what should we be paying attention to what kinds of things are you really trying to achieve I think it's helping people do more for less faster so there's always more we can do and helping them take advantage of all the services AWS has to offer spoken like a true Amazonian Duncan thanks so much for coming on the queue for thank you good all right and thank you for watching everybody be back from storage day in Boston you watching the cute
SUMMARY :
adoption to be like and what are you
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Edward Naim, Amazon Web Services | AWS Storage Day 2019
>>We're back in storage day at Amazon in Boston, on detente with the Cube. Ed name is here. He's the general manager of X ed. Welcome to the Cube. Good to say thanks for having me, Dave. Okay, So explain to me why you guys launched FSX for Windows File server. You know why now? >>Well, we did it because customers asked us to do it. What customers told us was that they were tired of all of the effort and overhead in managing windows, file systems and Windows file servers on their own, everything from routine maintenance, like patching to provisioning. They just didn't wanna have to do all of that heavy lifting. So they asked us for a simple solution. Fully manage solution on the cloud. There's a lot of windows data out there. A lot of data that's access from windows computers. Eight of us is the cloud that has the most windows workloads running on it. So it was a very natural ask for customers to ask us as they're moving their windows workloads onto eight of us to have a file system that's fully managed for them that could be accessed by those workloads. So it was It was actually very natural and, uh, unexpected. Ask from customers, >>you know, love. You may not know that, but it does kind of make sense. Is so much windows out there You're the cloud leader. So peanut butter and jelly. Um, how do you see customers using FSX for Windows? >>Yeah, What's really exciting is they're using it for a really broad spectrum of workloads eso everything from traditional user shares and home directories, Thio development environments to analytics, workloads, tau video, trance coating. So it's a very wide spectrum of workloads that they're on the service and we're continuing to see new new types of workloads every day, which is really exciting. >>So we're hearing stories. What exactly is new around FSX for Windows file service Specifically. >>Yeah, Well, we've launched a number of capabilities this year throughout the year s 01 of the significant ones that we launched was the ability for customers to use their self managed active directories on dhe join their FSX file systems to those. So we now have two options. Customers can use a fully managed AWS fully managed active directory or their own with FSX. We launched a number of capabilities around access from on premises. For example, customers can now access. Or when we launched it, we announced that they could now access their file systems over direct connect connections over VPN so they can access the Windows file systems from computers and from end users that are running on premises. So quite a few announcements this year Those are just two examples, and we're really excited about really a slew of announcements and feature features that we're launching now. And I can get into those if you like, give me some examples of your work. So one of the, uh, the most common questions we've had from customers is. Can we offer a native multi daisy capability, multi availabilities own capability? So a lot of customers are running enterprise grade workloads on FXX, and they want to move more and more of those workloads onto AWS, and they don't wanna have to, ah, manage the overhead of using something like a distributed file system or D F s replication between fsx file systems and different disease. So we're launching a fully managed, super simple, multi easy capability, and that's a deployment options that custom the customers will have in addition to what we already had, which was the single easy deployment options. >>Let me see some recurring themes when you talkto folks at Amazon announced service is it's the it's the same sort of mantra. Be able to reduce that heavy lifting, shift your focus to things that will add more value to your business. Take advantage of these other service is through these integrations that that we're doing. So I mean, it kind of feels like a no brainer, but I give you the last the last word. I mean, is it Why is it why should customers, you know, sell me on why I should move by dated to the cloud? >>Yeah. I mean, we we like to think of it as a no brainer because we are fully managing everything for the customer. Um, the the service is built on top of Windows server, so provides a fully compatible Windows file system, and we've managed that fully four customers, So you get complete compatibility with us and be complete compatibility with Auntie if s file system semantics and features. So it's a very simple move for customers to move their existing workloads onto the service and have it before we managed a couple of the other features that we're launching that I do want to mention our We're launching data D duplication we're launching. Ah, whole bunch of administrative capabilities, like user quotas were extending. Our administrative CIA lied to do things like a lot of customers to create shares programmatically so really a very exciting set of capabilities that we really think make this a ah no brainer for customers. >>Well, that's another recurring themes. You guys, you know, you dropped prices and look at the moors losses. Prices continue to drop. The differences them is on. You make it transparent on DDE. If I use a service is lower cost, my bill goes down and then, of course, I end up using more because this is an elastic world. So that's a good thing. But, Ed, thanks so much for coming on. The key. Thank you. Share is that any other thing is you guys only window specialists. It's just kind of ironic, you know, leader in windows. And, uh, >>well, it really comes from What are our customers are asking us for? So they see moving their windows. Workloads is the first step to the full modernization and being all in on the cloud. >>Great. We'll get exit. Thank you. All right. And thank you for watching everybody right back after this. Short break, Dave. A lot with the Cube.
SUMMARY :
Okay, So explain to me why you guys launched FSX for Windows File server. So it was a very natural ask for customers to ask us as they're moving their windows workloads onto eight of us So peanut butter and jelly. So it's a very wide spectrum of workloads that they're on the service and we're continuing So we're hearing stories. So a lot of customers are running enterprise So I mean, it kind of feels like a no brainer, a couple of the other features that we're launching that I do want to mention our We're It's just kind of ironic, you know, leader in windows. Workloads is the first step to the full modernization and being all in on the cloud. And thank you for watching everybody right back after this.
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Asa Kalavade, Amazon Web Services | AWS Storage Day 2019
(upbeat music) >> Hi, everybody, we're back. This is Dave Vellante with theCUBE. We're here talking storage at Amazon in Boston. Asa Kalavade's here, she's the general manager for Hybrid and Data Transfer services. >> Let me give you a perspective of how these services come together. We have DataSync, Storage Gateway, and Transfer. As a set of Hybrid and Data Transfer services. The problem that we're trying to address for customers is how to connect their on premises infrastructure to the cloud. And we have customers at different stages of their journey to the cloud. Some are just starting out to use the cloud, some are migrating, and others have migrated, but they still need access to the cloud from on-prem. So the broad charter for these services is to enable customers to use AWS Storage from on-premises. So for example, DataStorage Gateway today is used by customers to get unlimited access to cloud storage from on-premises. And they can do that with low latency, so they can run their on-prem workloads, but still leverage storage in the cloud. In addition to that, we have DataSync, which we launched at re:Invent last year, in 2018. And DataSync essentially is designed to help customers move a lot of their on-premises storage to the cloud, and back and forth for workloads that involve replication, migration, or ongoing data transfers. So together, Gateway and DataSync help solve the access and transfer problem for customers. >> Let's double down on the benefits. You started the segment just sort of describing the problem that you're solving, connecting on-prem to cloud, sort of helping create these hybrid environments. So that's really the other benefit for customers, really simplifying that sort of hybrid approach, giving them high performance confidence that it actually worked. >> Maybe talk a little bit more about that. >> So with DataSync, we see two broad use cases. There is a class of customers that have adopted DataSync for migration. So we have customers like Autodesk who've migrated hundreds of terabytes from their on-premises storage to AWS. And that has allowed them to shut down their data center, or retire their existing storage, because they're on their journey to the cloud. The other class of use cases is customers that have ongoing data that they need to move to the cloud for a workload. So it could be data from video cameras, or gene sequencers that they need to move to a data pipeline in the cloud, and they can do further processing there. And in some cases, bring the results back. So that's the second continuous data transfer use case, that DataSync allows customers to address. >> You're also talking today, about Storage Gateway high availability version of Storage Gateway. What's behind that? >> Storage Gateway today is used by customers to get access to data in the cloud, from on-premises. So if we continue this migration story that I mentioned with DataSync, now you have a customer that has moved a large amount of data to the cloud. They can now access that same data from on-premises for latency reasons, or if they need to distribute data across organizations and so on. So that's where the Gateway comes into play. Today we have 10's of thousands of customers that are using Gateway to do their back-ups, do archiving, or in some cases, use it as a target to replace their on-premises storage, with cloud backed storage. So a lot of these customers are running business critical applications today. But then some of our customers have told us they want to do additional workloads that are uninterruptible. So they can not tolerate downtime. So with that requirement in mind, we are launching this new capability around high availability. And we're quite excited, because that's solving, yet allowing us to do even more workloads on the Gateway. This announcement will allow customers to have a highly available Gateway, in a VMware environment. With that, their workloads can continue running, even if one of the Gateways goes down, if they have a hardware failure, a networking event, or software error such as the file shares becoming unavailable. The Gateway automatically restarts, so the workloads remain uninterrupted. >> So talk a little bit more about how it works, just in terms of anything customers have to do, any prerequisites they have. How does it all fit? >> Customers can essentially use this in their VMware H.A. environment today. So they would deploy their Gateway much like they do today. They can download the Gateway from the AWS console. If they have an existing Gateway, the software gets updated so they can take advantage of the high availability feature as well. The Gateway integrates into the VMware H.A. environment. It builds up a number of health checks, so we keep monitoring for the application up-time, network up-time, and so on. And if there is an event, the health check gets communicated back to VMware, and the Gateway gets restarted within, in most typical cases, under 60 seconds. >> So customers that are VMware customers, can take advantage of this, and to them, it's very non disruptive it sounds like. That's one of the benefits. But maybe talk about some of the other benefits. >> We saw a large number of our on-premises customers, especially in the enterprise environments, use VMware today. And they're using VMware HA for a number of their other applications. So we wanted to plug into that environment so the Gateway is as well highly available. So all their applications just work in that same framework. And then along with high availability, we're also introducing two additional capabilities. One is real time reports and visibility into the Gateway's resource consumption. So customers can now see embedded cloud watch graphs on how is their storage being consumed, what's their cache utilization, what's the network utilization. And then the administrators can use that to, in fairly real time, adapt the resources that they've allocated to the Gateway. So with that, as their workloads change, they can continue to adapt their Gateway resources, so they're getting the maximum performance out of the Gateway. >> So if they see a performance problem, and it's a high priority, they can put more resources on it-- >> They can attach more storage to it, or move it to a higher resourced VM, and they can continue to get the performance they need. Previously they could still do that, but they had to have manual checks. Now this is all automated, we can get this in a single pane of control. And they can use the AWS console today, like they do for their in cloud workloads. They can use that to look at performance of their on-premises Gateway's as well. So it's one pane of control. They can get CloudWatch health reports on their infrastructure on-prem. >> And if course it's cloud, so I can assume this is a service, I pay for it when I used it, I don't have to install any infrastructure, right? >> So the Gateways, again, consumption based, much like all AWS services. You download the Gateway, it doesn't cost you anything. And we charge one cent per gigabyte of data transfer through the Gateway, and it's capped at $125 a month. And you just pay for whatever storage is consumed by the Gateway. >> When you talk to senior exec's like Andy Jassy, always says "We focus on the customers." And sometimes people roll their eyes, but it's true. This is a hybrid world. Years ago, you didn't really hear much talk about hybrid. You talked to your customers and say, "Hey, we want to connect our on-prem to the public cloud." You're bringing services to do that. Asa, thanks so much for coming to theCUBE. Appreciate it. >> Thank you, thanks for your time. >> You're welcome. And thank you for watching everybody. This is Dave Vellante with theCUBE. We'll be back right after this short break. (upbeat music)
SUMMARY :
Asa Kalavade's here, she's the general manager for but they still need access to the cloud from on-prem. So that's really the other benefit for customers, or gene sequencers that they need to move to You're also talking today, about Storage Gateway for latency reasons, or if they need to distribute just in terms of anything customers have to do, So they would deploy their Gateway So customers that are VMware customers, they can continue to adapt their Gateway resources, and they can continue to get the performance they need. So the Gateways, again, consumption based, You talked to your customers and say, This is Dave Vellante with theCUBE.
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Kevin Miller, Amazon Web Services | AWS Storage Day 2019
>>day, Volonte. And welcome to the Cuban special presentation here from Amazon in Boston. We're talking storage, really? A group of intelligent people here in the storage world and really excited to have Kevin Miller. You got hard news today around this. Think of replication. Time >>control. Yeah. >>What? What's that all about? What should we know about S3 replication? What problems isn't solving for customers? Why'd you do this? >>Yeah, absolutely. So we're very >>pleased to announce the launch today of s three replication Time control. >>This is a >>future that a number of customers across really across the board, large enterprise as well as public sector customers have asked us >>for to really give >>them insight and confidence that critical data they need to have replicated will be done in the time frames that they require. So we're actually today offering industry first s L. A of 99.9% of data will be replicated with within 15 minutes when using replication, time control and really, most data is replicated within a matter of seconds. But then having that escalate to >>back up that promise. So >>we have a number of customers who >>use as three replication today. Both is in our cross region replication as well as same region replication. And so the >>use cases really >>span the gamut from customers were looking to just back up their data so they might make a copy into a lower cost storage class to have a backup of that data. A CZ well as customers that I want to have on always on disaster recovery site, where they can replicate the data and then have a live hot, ready to go replication in another region for disaster >>recovery. Okay, so let's double click on that a little bit. Cross region replication. C r R >>r r >>Tell us more about that. What should we know there? >>Well, see, you're ours. The >>capability we've had for a long time, and it's it's a really critical capability. Ah, building block that our customers used to ensure that they can maintain a second copy of the data in another region. And so, and with Sierra are they can not only replicate the data, but they can actually replicate it into a completely different accounts so they can actually have two accounts that with potentially different access control and different administrators who can access those accounts. So they really have confidence that even if there was a knish you with their application in one region, that they can immediately begin operating in that second region. And so so we have customers who use replication for backup recovery, but also for a ZAY said sort of live replication to have ah always on D our site. >>Okay. And you also just recently announced the same reason. Region replication tell us more about that. >>Well, same region replication. It provides many of the benefits of cross region replication, but does so within one region. So we do have some customers >>who would like to, for example, make a backup copy of their data into a different account. But they >>need to >>maintain that data within the same geography, but perhaps for data, sovereignty reasons, or that they just want Thio, keep everything in one region but still have that second copy. So with same region replication, it's really just one parameter in the replication configuration, and they have all the benefits that we have historically had with across region application. >>So, Kevin, what should we be watching for? Just in terms of s three replication. Replication generally is very important for customers, really. But what's next for Amazon as three replication that we should be paying attention to? >>Well, you know, we, uh we think the >>replication today has ah range of different differentiated capabilities in terms of the ability to replicate on a tag level or replicate subset of the data. And so, you know, >>really, our goal with replication is just to make it as easy as >>possible for customers. Thio configure the replication they need Andi provide that flexibility while also providing the sort of the fully managed experience that we have with us three where you don't have to build your own software to do it. So, >>you know, we're gonna be continuing >>to work with customers. Uh, Thio simplify the things that they need to d'oh to configure replication for their different use cases. >>Let's talk about that customer angle you're just thinking about as three replication time control. What you expect customers to be saying about this, how they're going to be using it. What kind of problems are they going to be solved? >>Yeah, well, we have customers, you know, particularly those >>in regulated industries or in government public sector where they are under very stringent requirements. Thio be able to prove that they always have a second copy of the data and and this is the way that they can do that. So we air, you know, working with customers in with some of the tightest regulations you can imagine who were saying, Yeah, this is what I need with this capability Now I can I can watch it. I can monitor it. Ah, and I and more importantly, I know that the data is there for them. They can't start processing the data until they know that that second copy is is made. So they're using the replication time control metrics to really look at it real time and say, Okay, I'm ready to begin processing this data because I know I have both copies made. >>Well, it's great to see you guys really expanding the storage portfolio again. It started very simple, but you get that flywheel effect going. It's it's a critical part of the value chain. So congratulations. I'll give you last word, and >>I I just think that >>obviously that s three stands for simple storage service. And despite all of the flexibility and capability we're trying to build in. At the same time, simplicity is job number one for us. And so >>we're just >>really excited about with replication. Time control. Uh, we think that we've built something that both hits, that that mark of being simple but also provides just a lot of capability that that otherwise, you know, would take quite a bit of effort. >>Always a balance. Right? The simple you make it that war customers wants. Kevin, thanks so much for coming on The Cube. Really appreciate it. >>Absolutely. Thanks for having me. >>You're welcome. And thank you for watching everybody, right? Right back, Right after this short break.
SUMMARY :
people here in the storage world and really excited to have Kevin Miller. control. So we're very them insight and confidence that critical data they need to have replicated will be done So And so the to have on always on disaster recovery site, where they can replicate the data Okay, so let's double click on that a little bit. What should we know there? Well, see, you're ours. And so so we have customers who use replication tell us more about that. So we do have some customers But they and they have all the benefits that we have historically had with across region application. Just in terms of s three replication. in terms of the ability to replicate on a tag level or replicate subset that we have with us three where you don't have to build your own software to do it. things that they need to d'oh to configure replication for their different use cases. What kind of problems are they going to be solved? of the tightest regulations you can imagine who were saying, Yeah, this is what I need with this capability Well, it's great to see you guys really expanding the storage portfolio again. And despite all of the flexibility and capability that otherwise, you know, would take quite a bit of effort. The simple you make it that war customers wants. Thanks for having me. And thank you for watching everybody, right?
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Ashish Palekar, Amazon Web Services | AWS Storage Day 2019
>>This is Dave Violante. We're here at a W s with the Keep talking About Storage palate cars. Here is the director of product management for E B s Elastic block storage. Welcome. Good to see again. >>Nice to see it. If >>so, let's talk about E b s. You know, it all started with us. Three and course customers demand Maur. What do we need to know about E b s? Like, what are the options that you provide? Give us the late low down. >>Yeah. So the way to think about block storage in the AWS eight abreast constructors. Really two kinds of offerings. One is around instant storage, which is a form of block strategy. And then you have a block started service, which is E. B s Andi. Sort of. The key thing they're from customer standpoint of different shit between the two is if you warn your storage like cycle to be coincident with your instance like cycle, then you use instant surgeon. That's why we see a lot of our customers using since storage, because they won't want that experience if you want. On the other hand, it's storage life cycle that's different from your instance life cycle. So the ability to change instances, the ability to grow size is the ability to to take back ups. Then you want to choose the obvious experience. And there we have a series of volume types that customers can consume. Be a GP two we have, I want. We have our stream volumes, which are a C one and C one. >>So she's when you talk to customers of block stores. What did they tell you that they most care about? >>Yeah, uh, it is. It is a Lord around performance. It is a lot around. Availability is a lot on your ability. He's a fuse. Those of the core characteristics that that customers care about earlier this year as an example, one of the things that we launched for customers was the ability to encrypt their volumes by default on you. Say, Well, why is that important? So security becomes a big concern for customers a day as they think about their environment and with encryption by default. We just made it simple. With a single setting, you can now, at an account level, ensure that all your PBS volumes created from that point on our fully encrypted. >>Okay, let's talk about snapshots. So how o r r. Snapshots in the cloud? Different. And how are your customers using stamps? >>Yeah, that's great. Great. Great. Cigarette in tow. Common conversation. Customers who are coming from on premises environment are used to snapshots is being sort of this copy on right type attack volumes. The way to think about aws snapshot. Devious snapshots in particular are really to think of them as backup. And so that is the one sort of key thing that I always tell customers is to think of what we call snapshots, really as backups. Especially if you're coming from a non premises environment. >>Okay, um, how about things you're doing to really improve? Uh, EBS snapshots. I mean, is it more performance? Is it making simple Are expanding use cases. Yeah. >>Yeah. Let's talk about the use case scenario Is that that snapshots get use, and snapshots are really the underlying storage for water called Amazon machine images. Our aim eyes. That is how snaps that is, how our instances boot. That is also the way that customers create CBS Williams from, so you can create an obvious volume from a snapshot. So on that on that particular use case, one of the things that we're we're now launching is a capability via calling far snapshot restored. So you can now take a knee, be a snapshot and then within an availability is soon. Make it such that you can. You can now launch volumes from it without encountering any Leighton sing and back on DDE. That we think is a tremendously powerful capability for customs. Because if you can, it takes away all the undifferentiated heavy lifting that they had to do in order to lure the data from the snapshot into the volume completely out of the picture and allows them to focus on getting their data to their applications. That's right. >>All right, we'll give you the last word. Final thoughts on the innovations that you had. Congratulations on all the hard work. >>No, actually, this is the team has done a tremendous amount of work in art launches. Couldn't be happier to see this in the hands of customers. We look forward to seeing what they build from from the things that we provided them so excited to see that happen. >>That's actually quite amazing. It started all very simple with us three. And now we've seen service is just become more granular. Higher performance. Really meeting customer demands. She's thanks so much. Thank you so much. All right. Thanks for watching. Your body will be back right after this short break.
SUMMARY :
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Bina Khimani, Amazon Web Services | Splunk .conf18
>> Announcer: Live from Orlando, Florida, it's theCUBE, covering .conf2018. Brought to you by Splunk. >> Welcome back to .conf2018 everybody, this is theCUBE the leader in live tech coverage. I'm Dave Vellante with Stu Miniman, wrapping up day one and we're pleased to have Bina Khimani, who's the global head of Partner Ecosystem for the infrastructure segments at AWS. Bina, it's great to see you, thanks for coming on theCUBE. >> Thank you for having me. >> You're very welcome. >> Pleasure to be here. >> It's an awesome show, everybody's talking data, we love data. >> Yes. >> You guys, you know, you're the heart of data and transformation. Talk about your role, what does it mean to be the global head Partner Ecosystems infrastructure segments, a lot going on in your title. >> Yes. >> Dave: You're busy. (laughing) >> So, in the infrastructure segment, we cover dev apps, security, networking as well as cloud migration programs, different types of cloud migration programs, and we got segment leaders who really own the strategy and figure out where are the best opportunities for us to work with the partners as well as partner development managers and solution architects who drive adoption of the strategy. That's the team we have for this segment. >> So everybody wants to work with AWS, with maybe one or two exceptions. And so Splunk, obviously, you guys have gotten together and formed an alliance. I think AWS has blessed a lot of the Splunk technology, vice versa. What's the partnership like, how has it evolved? >> So Splunk has been an excellent partner. We are really joined hands together in many fronts. They are fantastic AWS marketplace partner. We have many integrations of Splunk and AWS services, whether it is Kinesis data, Firehose, or Macy, or WAF. So many services Splunk and AWS really are well integrated together. They work together. In addition, we have joined go to market programs. We have field engagement, we have remand generation campaigns. We join hands together to make sure that our customers, joint customers, are really getting the best value out of it. So speaking of partnership, we recently launched migration program for getting Splunk on prem, Splunk Enterprise customers to Splunk Cloud while, you know, they are on their journey to Cloud anyway. >> Yeah, Bina let's dig into that some, we know AWS loves talking about migrations, we dig into all the databases that are going and we talk at this conference, you know Splunk started out very much on premises but we've talked to lots of users that are using the Cloud and it's always that right. How much do they migrate, how much do they start there? Bring us instead, you know, what led to this and what are the workings of it. >> So what, you know if you look at the common problems people have customers have on prem, they are same problems that customers have with Splunk Enterprise on prem, which is, you know, they are looking for resiliency. Their administrator goes on vacation. They want to keep it up and running all the time. They help people making some changes that shouldn't have been made. They want the experts to run their infrastructure. So Splunk Cloud is run by Splunk which is, you know they are the best at running that. Also, you know I just heard a term called lottery proof. So Splunk Cloud is lottery proof, what that means the funny thing is, that you know, your administrator wins lottery, you're not out of business. (laughs) At the same time if you look at the the time to value. I was talking to a customer last night over dinner and they were saying that if they wanted to get on Splunk Enterprise, for their volume of data that they needed to be ingested in Splunk, it would take them six months to just get the hardware in place. With Splunk Cloud they were running in 15 minutes. So, just the time to value is very important. Other things, you know, you don't need to plan for your peak performance. You can stretch it, you can get all the advantages of scalability, flexibility, security, everything you need. As well as running Splunk Cloud you know you are truly cost optimized. Also Splunk Cloud is built for AWS so it's really cost optimized in terms of infrastructure costs, as well as the Splunk licensing cost. >> Yeah it's funny you mentioned the joke, you know you go to Splunk cloud you're not out of a job, I mean what we've heard, the Splunk admins are in such high demand. Kind of running their instances probably isn't, you know a major thing that they'd want to be worrying about. >> Yes, yes, so-- >> Dave: Oh please, go. >> So Splunk administrators are in such a high demand and because of that, you know, not only that customers are struggling with having the right administrators in place, also retaining them. And when they go to Cloud, you know, this is a SAS version, they don't need administrators, nor they need hardware. They can just trust the experts who are really good at doing that. >> So migrations are a tricky thing and I wonder if we can get some examples because it's like moving a house. You don't want to move, or you actually do want to move but it's, you have be planful, it's a bit of a pain, but the benefits, a new life, so. In your world, you got to be better, so the world that you just described of elastic, you don't have to plan for peaks, or performance, the cost, capex, the opex, all that stuff. It's 10 X better, no debate there. But still there's a barrier that you have to go through. So, how does AWS make it easier or maybe you could give us some examples of successful migrations and the business impact that you saw. >> Definitely. So like you said, right, migration is a journey. And it's not always easy one. So I'll talk about different kinds of migration but let me talk about Splunk migration first. So Splunk migration unlike many other migration is actually fairly easy because the Splunk data is transient data, so customers can just point all their data sources to Splunk Cloud instead of Splunk Enterprise and it will start pumping data into Splunk Cloud which is productive from day one. Now if some customers want to retain 60 to 90 days data, then they can run this Splunk Enterprise on prem for 60 more days. And then they can move on to Splunk Cloud. So in this case there was no actual data migration involved. And because this is the log data that people want to see only for 60 to 90 days and then it's not valuable anymore. They don't really need to do large migration in this case it's practically just configure your data sources and you are done. That's the simplest part of the migration which is Splunk migration to Splunk Cloud. Let's talk about different migrations. So... you have heard many customers, you know like Capital One or many other Dow-Jones, they are saying that we are going all in on AWS and they are shutting down their data centers, they are, you know, migrating hundreds of thousands of applications and servers, which is not as simple as Splunk Cloud, right? So, what AWS, you know, AWS does this day in and day out. So we have figured it out again and again and again. In all of our customer interactions and migrations we are acquiring ton of knowledge that we are building toward our migration programs. We want to make sure that our customers are not reinventing the wheel every time. So we have migration programs like migration acceleration program which is for custom large scale migrations for larger customers. We have partner migration programs which is entirely focused on working with SI partners, consulting partners to lead the migrations. As well as we're workload migration program where we are standardizing migrations of standard applications like Splunk or Atlassian, or many of their such standard applications, how we can provide kind of easy button to migrate. Now, when customers are going through this migration journey, you know, it's going to be 10 X better like you said, but initially there is a hump. They are probably needing to run two parallel environments, there is a cost element to that. They are also optimizing their business processes there is some delay there. They are doing some technical work, you know, discovery, prioritization, landing zone creations, security, and networking aspects. There are many elements to this. What we try to do is, if you look at the graph, their cost is right now where this and it's going to go down but before that it goes up and then goes down. So what we try to do is really provide all the resources to take that hump out in terms of technical support, technical enablement, you know, partner support, funding elements, marketing. There are all types of elements as well as lot of technical integrations and quick starts to take that hump out and make it really easy for our customers. >> And that was our experience, we're Amazon customer and we went through a migration about, I don't know five or six years ago. We had, you know, server axe and a cage and we were like, you know, moving wires over and you'd get an alert you'd have to go down and fix things. And so it took us some time to get there, but it is 10 X better now though. >> It is. >> The developers were so excited and I wanted to ask you about, sort of the dev-ops piece of it because that's really, it became, we just completely eliminated all the operational pieces of it and integrated it and let the developers take care of it. Became, truly became infrastructure as code. So the dev-ops culture has permeated our small organization, can't imagine the impact on a larger company. Wonder if you could talk about that a little bit. >> Definitely. So... As customers are going through this cloud migration journey they are looking at their entire landscape of application and they're discovering things that they never did. When they discover they are trying to figure out should I go ahead and migrate everything to AWS right now, or should I a refactor and optimize some of my applications. And there I'm seeing both types of decisions where some customers are taking most of their applications shifting it to cloud and then pausing and thinking now it is phase two where I am on cloud, I want to take advantage of the best of the breed whatever technology is there. And I want to transform my applications and I want to really be more agile. At the same time there are customers who are saying that I'm going to discover all my workload and applications and I'm going to prioritize a small set of applications which we are going to take through transformation right now. And for the rest of it we will lift and shift and then we will transform. But as they go through this transformation they are changing the way they do business. They are changing the way they are utilizing different technology. Their core focus is on how do I really compete with my competition in the industry and for that how can IT provide me that agility that I need to roll out changes in my business day in day out. And for that, you know, Lambda, entire code portfolio, code build, code commit, code deploy, as well as cloud trail, and you know all the things that, all the services we have as well as our partners have, they provide them truly that edge on their industry and market. >> Bina, how has the security discussion changed? When Stu and I were at the AWS public sector summit in June, the CIO of the CIA stood up on stage in front of 10,000 people and said, "The cloud on my worst day from a security perspective "is better than my client server infrastructure "on a best day." That's quite an endorsement from the CIA, who's got some chops in security. How has that discussion changed? Obviously it's still fundamental, critical, it's something that you guys emphasize. But how has the perception and reality changed over the last five years? >> Cloud is, you know, security in cloud is a shared responsibility. So, Amazon is really, really good at providing all the very, very secure infrastructure. At the same time we are also really good at providing customers and business partners all of the tools and hand-holding them so that they can make their application secure. Like you said, you know, AWS, many of the analysts are saying that AWS is far more secure than anything they can have within their own data center. And as you can see that in this journey also customers are not now thinking about is it secure or not. We are seeing the conversation that, how in fact, speaking of Splunk right, one customer that I talked to he was saying that I was asking them why did you choose Splunk cloud on AWS and his take was that, "I wanted near instantaneous SOA compliant "and by moving to Splunk cloud on AWS "I got that right away." Even I'm talking to public sector customers they are saying, you know, I want fair DRAM I want in healthcare industry, I want HIPPA Compliance. Everywhere we are seeing that we are able to keep up with security and compliance requirements much faster than what customers can do on their own. >> So they, so you take care of, certainly from the infrastructure standpoint, those certifications and that piece of the compliance so the customer can worry about maybe some of the things that you don't cover, maybe some of their business processes and other documentation, ITIL stuff that they have to do, whatever. But now they have more time to do that presumably 'cause that's check box, AWS has that covered for me, right? Is that the right thinking? >> Yes, plus we provide them all the tools and support and knowledge and everything so that they, and even partner support who are really good at it so that not only they understand that the application and infrastructure will come together as entire secure environment but also they have everything they need to be able to make applications secure. And Splunk is another great example, right? Splunk helps customer get application level security and AWS is providing them infrastructure and together we are working together to make sure our customers' application and infrastructure together are secure. >> So speaking about migrations database, hot topic at a high level anyway, I wonder if you could talk about database migrations. Andy Jassy obviously talks a lot about, well let's see we saw RDS on Prim at VMworld, big announcement. Certainly Aurora, DynamoDB is one of the databases we use. Redshift obviously. How are database migrations going, what are you doing to make those easier? >> So what we do in a nutshell, right for everything we try to build a programatic reputable, scalable approach. That's what Amazon does. And what we do is that for each of these standard migrations for databases, we try to figure out, that let's take few examples, and let's figure out Play Books, let's figure out runbooks, let's make sure technical integrations are in place. We have quick starts in place. We have consulting partners who are really good at doing this again and again and again. And we have all the knowledge built into tools and services and support so that whenever customers want to do it they don't run into hiccups and they have really pleasant experience. >> Excellent. Well I know you're super busy thanks for making some time to come on theCUBE I always love to have AWS on. So thanks for your time Bina. >> Thank you very nice to meet you both. >> Alright you're very welcome. Alright so that's a wrap for day one here at Splunk .conf 2018, Stu and I will be back tomorrow. Day two more customers, we got senior executives coming on tomorrow, course Doug Merritt, always excited to see Doug. Go to siliconangle.com you'll see all the news theCUBE.net is where all these videos live and wikibon.com for all the research. We're out day one Splunk you're watching theCUBE we'll see you tomorrow. Thanks for watching. >> Bina: Thank you. (electronic music)
SUMMARY :
Brought to you by Splunk. for the infrastructure segments at AWS. everybody's talking data, we love data. You guys, you know, Dave: You're busy. That's the team we have for this segment. you guys have gotten together and formed an alliance. you know, they are on their journey to Cloud anyway. and we talk at this conference, you know Splunk started out the funny thing is, that you know, your administrator Kind of running their instances probably isn't, you know and because of that, you know, and the business impact that you saw. They are doing some technical work, you know, and we were like, you know, moving wires over and I wanted to ask you about, sort of the dev-ops And for the rest of it we will lift and shift it's something that you guys emphasize. they are saying, you know, I want fair DRAM and that piece of the compliance so the customer but also they have everything they need to be able Certainly Aurora, DynamoDB is one of the databases we use. and they have really pleasant experience. to come on theCUBE I always love to have AWS on. we'll see you tomorrow. Bina: Thank you.
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Sandy Carter, Amazon Web Services | Girls in Tech Catalyst Conference 2018
>> From San Francisco, it's theCUBE, covering Girls in Tech Catalyst Conference, brought to you by Girls in Tech. >> Hey, welcome back, everybody. Jeff Frick here at theCUBE. We're in downtown San Francisco at the Girls in Tech Catalyst Conference, about 700 professionals. It's a really cool conference. It's a single track, two days. All the presentations are about 15, 20 minutes of people telling their stories, vast majority of women, a couple of men. I think they brought in some younger kids to get inspired. So we're excited to be here. Been coming for a couple years. And our next guest, many time CUBE alum, I just know her as Sandy Carter. She does have a title, VP of Enterprise Workloads at AWS, but I dunno, Sandy, how long have you been coming on the CUBE, how many years? >> Oh, wow, I don't know. >> Too many to count, and we don't want to admit to it. >> Yeah, it's true, but thank you guys for supporting events like this, Jeff, because I know that you guys have been supporting Women in Tech, and Girls in Tech for so long, and we really appreciate that very much. Thank you. >> And it's so important, and we love to do it, and we especially love when it's right in our backyard. It makes it really easy just to grab some crew and run up here. >> (laughing) That's right. >> So give us an update. You are chairman of the board now, and I think we've probably talked to probably three or four board members today. It's a really impressive group of people, and Adriana has done amazing things with this organization in the last 11 years. And you're sittin' watching it grow internationally, the number of events, the types of events. Give us your perspective. >> Yeah, so I think Girls in Tech is an amazing organization. That's why I decided to join the board and then to take on the chairman of the board position. And the reason I think it's so powerful is that it's really focused on young women, millennial women who are looking to become business owners, leaders, entrepreneurs and who want to apply technology to make themselves more competitive. You know, I know Adriana came up with this in 2007, but even today, the mission and the values are still really relevant. These are the top things that women need to know about today, and this is really about filling up the pipeline, sharing experiences. The conference today, I don't know if you got to hear any of the sessions, but they're really not about, you know, let me do technical skills. It's really about how do you break through the next level, how do you grow your business, how do you scale. And so it's really those type of topics that we can share experiences as experienced businesswomen with others so that they can learn and grow from that. >> Right, and just really simple stuff, like raise your hand, take the new assignment, take a risk. >> You got it, the crooked path. >> The crooked path, that was the one I was looking for. And do something that you don't necessarily have experience in, whether it's finance or accounting or HR or product management, sales. You know, take a risk, and chances are you're going to get paid off for it, and I think those simple lessons are so, so important. And then, of course, which comes up time and time again is just to have role models, senior role models who've been successful, who have an interesting story, they have a crooked path, it wasn't easy it wasn't even defined, but here they are as successful so that the younger women can look up to them. >> Yeah, absolutely, and I think that it's, you know the big message today, I think, for women was have the confidence. Basically that sums up what you just said, right? Be confident, and even if you don't feel confident, show confidence. >> Right, right. >> Which I think is so important.. >> Fake it 'til you make it, right >> That's right. You got it, you got it. >> 'Cause everybody else is, you just don't know it. >> That's right. >> You think they know what they're doing. They're doing the same thing. >> That's right. Well, it's interesting, one of the stats today said that men will apply for a job if they have 60% of the qualifications. Women will only apply if they have between 90 or 95%. So I think being able to know that you're confident and that you're going to make it, that you're going to do things and going ahead and taking that risk is really important. >> So the other big shift that we've seen in this conference is really the corporate sponsorship. So AWS is here obviously. You're here. You're on the board. But the amount of logos, the size of the companies on the logos has really grown a lot since I think we were first at this one in Phoenix in 2016. >> Phoenix, yeah, yeah, yeah, yeah. >> So not only, again, is that the right thing to do, but it's also really good business to get involved, and you great ROI for being involved in these types of organizations. >> That's right. You know, innovation is really about having diversity of thought, and so having women, having different colleges, having different sexual orientation, just diversity really helps you to innovate. >> Right. >> 93% of CEOs said that innovation is their number one competitive advantage. So we're seeing a lot of companies now pick up on that and know that they've got to come and they've got to be attractive, not only as a company that people would want to work at, an employer, but also just as a company that you might want to do business with. So today, I love the story of GoDaddy. She was saying GoDaddy was targeting small businesses. Well, most of those are run by women, but they weren't doing the right targeting. So I think it's a phenomenal change that we're seeing with companies like this doing the support. AWS, Amazon Web Services is proud to be one of the major sponsors. We had Charlie, one of our SVPs on stage today, chatting about lessons he've learned, but we've also don't things like understanding how women are buying, and we're doing focus groups, and we're doing different things like that to really help us gain insight. >> Right, so final question, from the board point of view as you look forward in the expansion opportunities, they seem almost unlimited between the countries, the participants and the variation in types of events that you guys are undertaking. It's really quite a bit to bite off. >> Well, you know, we have kind of a two prong mission. One is for entrepreneurs, and so you're seeing us really emphasize classes and things like our Amplify event where we have women come and pitch ideas that really grow that side of the business. In fact, I was just in Cuba last week, on behalf of Girls in Tech, talking to female entrepreneurs there and how we could help them because they really want us to set up some classes there to teach these entrepreneurs how to grow. And the second prong of our mission is around technology and coding. So we've got classes. We've got things with AWS like We Power Tech, so that women can learn technology and use it for their competitive advantage. So while it seems like we're doing a lot of things, it's really around that two prong mission, entrepreneurship and that coding technology focus. >> Alright, well, Sandy, thanks again for stopping by, and really congratulations to you, not only in what you do at AWS, but really just some very, very important work with Girls in Tech. >> Great, thank you, and thank you for being so supportive. We appreciate it very much. >> Our pleasure. Alright, She's Sandy Carter. I'm Jeff Frick. You're watching theCUBE from Girls in Tech Catalyst in downtown San Francisco. Thanks for watchin'. (upbeat electronic music)
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Vincent Quah, Amazon Web Services | AWS Public Sector Summit 2018
(electronic music) >> Live, from Washington, DC, it's theCUBE, covering AWS Public Sector Summit 2018. Brought to you by Amazon Web Services and its ecosystem partners. >> Hey, welcome back. We're here live in Washington, D.C. It's theCUBE's coverage of AWS Public Sector Summit Amazon Web Services, Public Sector Summit. It's like re:Invent but also for public sector. But it's a global public sector. I'm John Furrier with Stu Miniman. Our next guest is Vincent Quah, who's the head of education, nonprofits, and healthcare in Asia, Pacific, and Japan for AWS. Welcome to theCUBE. >> Thanks, John, Stu. Great to be able to be here. >> You know, we constantly talk about cloud in the United States here, and people use the word GovCloud, and Teresa and I always kind of jokingly say, "No, it's bigger than GovCloud. It's global public sector." You bring an international perspective covering APAC for AWS? >> Yes, absolutely. >> Public sector, okay. Outside of China, which is a different division with Amazon, you got the whole world. So Teresa and the team are looking not just at the US, it's the entire world. What's different? How's that working? Give us an update. >> I think one of the key differences that we see is that the US has really led the way in terms of the adoption of cloud technologies. We had great examples of universities that have really gone all in. What we are seeing now is that universities and education institutions in Asia, they're beginning to pick up their pace. And it's exciting to see some of the universities really coming very strongly using AWS. And we're seeing this across not just in mature countries and developed countries, but also in developing countries. And so it is a very widespread adoption of the cloud. And we're very excited by that. Tell us about the AWS Educate. Teresa Carlson on stage yesterday very highlighted much in her keynote about education, as well as some of the that they're doing with retraining and educating young people and whatnot, but really education has been a real growth area, from interest with cloud. Because old IT (laughs) okay, you look at that, okay, there's never had a lot of IT guys. (Vincent laughs) But it's really changed both technology procurement and delivery, but also the impact. >> Right. >> Talk about the AWS Educate program. >> So the AWS Educate program is a free program that all institutions can join. It comes with content from AWS, it comes with content from some of the top computer science universities in the world, as well as Cloud Credits, where individual student members, or the educator's members, they can actually get access to using the real platform that AWS provide. Now, this is really game-changing for students and for the institution. And it's game-changing because they have exactly the same access to all the 125-plus technologies that AWS provide to enterprises and now they are in the hands of students. So can you imagine, if they have the experience using some of these services, building capabilities, building solutions and services, and bringing out to the market. So now, innovation is in the hands of every single individual. And Educate is such an important program to re-skill and skill graduates to be ready for the working world. >> I love that, Vincent. I think back, most of my career, when you talked about education, you talked about research and universities. So it was a certain top-tier and a very limited amount. You're really democratizing what's happening. Wonder if you have any examples, or what sort of innovations are coming out of some of these global initiatives? One of the great example is NOVA, right. So we've announced that NOVA is now building this cloud associate degree as part of their information systems technology. >> What's NOVA again? >> The Northern Virginia Community College. >> In the keynote yesterday, not to be confused with Villanova, the basketball champs. >> Northern Virginia, got it, sorry. >> So, there's a need there that the institutions see because there's so much that the industry would need in terms of skills and graduates graduating with the right skill set. If you look at the World Economic Forum that was published in 2016, more about Internet and cloud computing are the two key technological drivers that's creating all these change in the industry. And many, many organizations are now investing into skilling and re-skilling. Educate sits so nicely to this particular part of the agenda. Apart from what NOVA has done here in the US, there are two other examples I want to quickly highlight to you. The first is, in the first week of June, we actually did an event in the Philippines. It was a large-scale student event. We had more than hundreds of students in a single location, with probably close to 100 educators. We took them through a four-day event. Two days of skills and content learning with hands-on experience. A third day on a gamified challenge that we put the students through so that they can compete with one another in groups, and thereby achieving top-notch scores in the leaderboard. And at the end of the day, they actually get to also develop a curriculum vitae, a CV, that they can actually submit to companies. And on the fourth day, we brought more than 20 companies as part of this whole event, and we got the students to actually connect with the companies, and the companies to the students, so that where the companies are looking for jobs, these are the students that are ready with skills that they have learned over the past three days, that they can apply to jobs that these company are looking for. So that's a really strong case of what we see working. Connecting skills to companies that are looking for students with the right set of skills. >> Talk about the international global landscape for a minute. You have a unique perspective in your job. What are the key things going on out there? What's the progress look like? What are some of the successes? Can you share a little bit about what's going on in Asia, Pacific, and Japan? >> Sure. There'll be two examples that I'll be sharing. The first is, we know that AWS Educate started off at the tertiary level. But then, last re:Invent is now being extended to 14 years and above. So now children at that age can learn about the cloud and be made aware of what's the potential of the cloud and what they can learn and use the cloud for. We've also begun to extend that work into the adult working workforce. One very specific example that I can share with you. There is an organization in Singapore called the National Trade Unions Congress LearningHub. They're an education service provider and they provide education services to citizens of Singapore. We have worked with them. They're using the AWS Educate content, and they develop two courses. Fundamentals in Cloud Computing and Fundamentals in IoT. They bring this pilot courses for the Fundamentals in IoT to a group of individuals age 45 to 74 years old. And they came away, the course just simply blew their mind away. They were so excited about what they have learned. How to program, actually, I have with me, an Internet of Things button. Now they can actually come up with an idea, program an activity on this button, so that it trigger off a particular reaction. And that's the excitement that these individuals 45 to 74 years old. They have the domain expertise, now they need is just an idea and a platform. >> It's also entrepreneurial too. >> Absolutely. >> They can tinker with the software, learn about the cloud at a very young age, and they can grow into it and maybe start something compelling, have a unique idea, fresh perspective. >> Correct. >> Or, someone who's retraining, to get a new job. >> Correct. And innovation is, we keep thinking of innovation as something that's really big. But actually, innovation doesn't have to be that way. It can start very small and then scale up from there. And all you need is just an idea to apply. >> All right. So Vincent, one of the themes we've been talking a lot about at the show is cybersecurity. Can you speak how that discussion plays specifically in the education markets? >> What we want to do is really raise the awareness of every individual's understanding of cloud computing. And by that I mean from 14 years to 74 years old. We want to let them know, actually, they are already interacting with cloud technologies. For example, if you have a Samsung Smart TV at home, if you have made a hotel booking through Expedia or through Airbnb, or if you have called for home delivery from McDonald's, you've already interacted with the cloud. And so what we want to do is make sure that everybody actually understand that. And then through some of these courses that are being provided by our partners, then they can go and learn about the security part of it. And help them have a much better sense of idea of, look, the cloud is actually a lot more secure. And we've heard many examples of that today and yesterday. And we want to give them that assurance that what they are doing and consuming, they can be part of that entrepreneur process to create something new and very exciting. >> Vincent, I'll give you the last word on this interview by sharing the update from Asia Pacific AWS. How many people are out there's a growing, you're hiring. What are some of the priorities you guys have. They have a big event in Singapore, I know that. We've been watching it, thinking about bringing theCUBE there. Give us some idea of the growth around the AWS people. What's the head count look like, give us some estimations. John, you know I can't really talk too much about head count, but I can say that we are definitely growing our AWS head count very, very rapidly. The needs and requirements out there in the market is so tremendous, and we want to be able to serve the customer as best as we can. We are a customer-obsessed company, and so we want to be there with the customer, work with them to really meet the objective and the goals that they have. And help them achieve that vision. And so we are just the enabler. We empower the customer to make. >> You have events out there too, right? You have the re:Invent, Summit? >> We have the AWS Summit, and this coming October we have the Public Sector Summit here in Singapore, as well as in Canberra in September. >> Right. >> And there's an education event coming domestically, too. >> And there's an education, a global education event that is happening in Seattle in August. So we're very excited about that. >> Lot of action on the AWS ecosystem. Congratulations, you guys do a great job. Thanks for coming on theCUBE, Vincent. Really appreciate it. We're here live in Washington, DC. It's theCUBE's coverage of AWS Public Sector Summit. I'm John Furrier with Stu Miniman. We've got Dave Vellante here as well, coming and joining us for some interviews. We'll be right back, stay with us for more coverage after this short break. (electronic music)
SUMMARY :
Brought to you by Amazon Web Services Welcome to theCUBE. in the United States here, and people use the word GovCloud, So Teresa and the team are looking is that the US has really led the way the same access to all the 125-plus technologies One of the great example is NOVA, right. In the keynote yesterday, not to be confused with And at the end of the day, they actually get to also What are some of the successes? And that's the excitement that these individuals learn about the cloud at a very young age, And innovation is, we keep thinking So Vincent, one of the themes look, the cloud is actually a lot more secure. We empower the customer to make. We have the AWS Summit, and this coming October And there's an education, a global education event Lot of action on the AWS ecosystem.
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Hardik Bhatt, Amazon Web Services | AWS Public Sector Summit 2018
(techno music) >> Live, from Washington DC, it's theCUBE. Covering AWS Public Sector Summit, 2018. Brought to you by Amazon Web Services and its ecosystem partners. >> Okay, welcome back, everyone, this is the live CUBE coverage here in Washington DC for AWS Public Sector Summit 2018. This is the, kind of like the reinvent for Public Sector. I'm John Furrier, f my co-host Stu Miniman, our next guest is Hardik Bhatt, Smart Cities Vertical Lead for Amazon Web Services, been a former CIO, knows the state and local governments cold. This is a very key area around Internet of Things and technology with cloud, because smart cities have to do not only technology roll outs for some of the new capabilities, but all manage some of the societal changes, like self-driving cars and a variety of other things, from instrumenting sensors and traffic lights and video cam ... I mean, this is a little, just a little ... Welcome to theCUBE. >> Thank you very much, John. Good to see you, Stu, good morning. Looking forward to having a great conversation. >> So, smart cities obviously is really hot, but we love it, because it brings life, and work, life, and play together, because we all live in towns, and we live in cities, and the cities provide services to the residents, transportation, sidewalks, and things that we take for granted in the analog world. Now there's a whole digital set of services coming big time. So, are they prepared? (laughs) It used to be buy a mainframe, then move it to a minicomputer, get a Local Area Network, buy some PCs, buy some network tablets, now the cloud's here. What's your assessment of the smart cities landscape for state and local governments? Because it really is something that's on the front burner, in terms of figuring it out. What's the architecture? Lot of questions. What's your, what's the state of the union, if you will, for-- >> You know it has been, like, how the governments have been for many years, right? Governments exist so that they can provide better services, they can provide better quality of life, they can create an environment where businesses thrive, jobs can be created, education can be given, and you can build a workforce and talent, et cetera. And smart cities is just, I'd say, a trend where, you know, you're using multitudes of technology to kind of help the government get its mission accomplished in a smoother, faster, better, cheaper manner. And a lot of times, I've seen, because how smart cities movement started a decade ago, we kind of compare smart cities with the Internet of Things or the sensors, but smart cities is much more than just the IoT, or the Internet of Things, I mean if you're talking about creating a new stream of data that is real-time, whether coming in from sensors, coming from video, you already as a government, I used to be a CIO for the City of Chicago, we used petabytes of data that was already sitting in my data center, and then there's also this whole third-party data. So smart cities is a lot about how do you as a city are aggregating this different sources of data and then making some action from it, so that ultimately, going back to the city's priorities, you are giving better public safety, or you're providing better public health, or you're providing better education or you're providing, better providing government services. So that's what we are seeing. Our customers are, when we say smart cities, they jump right into, "What problems are you solving?" And that, to me, is the core for Amazon, core for Amazon Web Services. We want to know our customers' problems and then work backwards to solve them. >> What are some of the problems right now that are low-hanging fruit? Because obviously it's an evolution. You set the architecture up, but ultimately governments would love to have some revenue coming in from businesses. You mention that. Education is certainly there. What are some of the challenges there? Is it pre-existing stuff, or is it new opportunities? What are some of the trends you're seeing for use cases? It is actually both pre-existing stuff that they are trying to solve, as well the new stuff, the new opportunities that are getting created, because the technology is much different than what it used to be 10 years ago. The cloud, especially, is creating a lot more new opportunities, because of the nimbleness it brings, the agility it brings. So, in transportation side, we are seeing on one hand, multiple departments, multi-jurisdictional, so state transportation department, as well as a local transportation department, working together to create kind of a virtual information sharing environment or a virtual command center, so that they can detect an accident, a traffic incident, much quicker and respond to that, because now they can aggregate this data. And they're also now adding to that some public safety information. So whether it is a police department, fire department, EMS, so that they can address that incident quickly and then not only clear the traffic and clear the congestion, or reduce the congestion time, but they can also address the, any public safety issue that may have arisen out of that incident that has happened. So, the Department of Transportation, the USDOT, through the Federal Highway Administration, has been giving out $60 million worth of grants to six to ten recipients. The grant, this year's grant period, just closed on Monday, and we worked with multiple customers who are looking to kind of respond to that. So on one hand, it is that. So this is an age-old problem, but new technology can help you solve that. On the other hand, another customer that we worked with is looking for on-demand micro-transit solutions. As you can see, all the ride-sharing applications are making easier to jump in a car and move to one place to the other. It is causing a dip in transit ridership. So the public transit agents, they are looking for solutions to that. So they are looking at, "Can we build an on-demand microtransit "so you can pool your friends and jump into a transit van, as opposed to a private car?" And then you can go from point A to point B in a much more affordable manner. So they are looking at that. On the public health side, you know, we have the DC Benefits Exchange, Health Benefits Exchange, is on AWS, and they have seen significant savings. They have seen $1.8 million of annual savings because they are using cloud and cloud services. On the other hand, you have State of Georgia, which is using Alexa. So they have built Alexa Skills where you can ask, as a resident of State of Georgia getting SNAP benefit, the Supplemental Nutritional Assistance, the food-stamp program, you can say, "Alexa, what's my SNAP balance?" So based on the answer then, based on the balance you know, you can plan your, you know, where you're going to use that money. So we are seeing large volume of data now coming on the cloud where the governments are looking to move kind of the needle. We are also seeing this nimble, quick solutions that can start going out. And we are seeing a lot of driver behind the innovation is our City on a Cloud challenge. So we have seen the City on a Cloud winners, since last so many years, are kind of the ones who are driving innovation and they're also driving a lot of collaboration. So I can, there are three trends that I can jump into as we kind of talk more. >> Yeah, it's interesting. I think back a decade ago, when you talk smarter cities, you'd see this video, and it would look like something out of a science fiction. It's like, you know, "Oh, the flying taxi'll come, "and it will get you and everything." But what I, the stories I have when I talk to CIOs in cities and the like, it's usually more about, it's about data. It's about the underlying data, and maybe it's a mobile app, maybe it's a thing like Alexa Skills. So help us understand a little bit, what does the average citizen, what do they see? How does their, you know, greater transparency and sharing of information and collaboration between what the agencies are doing and, you know, the citizenship. >> I think that's a great question. I mean that is what, as a former CIO, I always had to balance between, what I do creates internal government efficiency, but the citizens don't feel it, don't see it, they don't, it doesn't get in the news media. And on the other hand, I also have to, to my governor, to my mayor, to the agency directors, have to give them visible wins. So, I'll give you an example, so City of Chicago, back in the day, in 2010 when I was the CIO. We did a contract with our AWS, currently AWS Partner Socrata, to open up the data. So that was kind of the beginning of the Open Data Movement, and eventually, I left the city, I went work for Cisco, and the city government continued to kind of build on top of Socrata. And they build what they called the Windy Grid, which is basically bringing all of their various sets of data, so 311, code violations, inspections, crime, traffic, and they built an internal data analytics engine. So now, agencies can use that data. And now, what they did, two years ago, they were one of the City on a Cloud Challenge winners, and they, Uturn Data Solutions is our partner that was the winner of that, and they built Chicago Open Grid. So they basically opened that up on a map-based platform. So now as a citizen of Chicago, I can go on Chicago Open Grid, and I can see which restaurants in, surrounding my area, have failed inspections. Have they failed inspection because of a mice infestation, or was it something very minor, so I can decide whether I want to go to that restaurant or not. I can also look at the crime patterns in my area, I can look at the property values, I can look at the education kind of quality in the schools in my neighborhood. So, we have seen kind of now, and it's all on AWS cloud. >> This open data is interesting to me. Let's take that to another level. That's just the user side of it, there's also a delivery value. I saw use cases in Chicago around Health and Human Services, around being more efficient with either vaccines, or delivery of services based on demographics and other profile, all because of open data. So this brings up a question that comes up a lot, and we're seeing here is a trend, is Amazon Web Services public sector has been really good. Teresa Carlson has done an amazing job leaning on partners to be successful. Meaning it's a collaboration. What's that like in the state and local government? What's the partner landscape look like? What are the benefits for partners to work with AWS? Because it seems obvious to me, it might not be obvious to them. But if they have an innovative idea, whether it's to innovate something on the edge of the network in their business, they can do it, and they can scale with Amazon. What is the real benefits of partnering with AWS? >> You hit a key point on there. Teresa has done a fantastic job in customer management as well as building our partners. Similarly, we have a great leader within the state and local government, Kim Majerus. She leads all of our state and local government business. And her focus is exactly like Teresa: How can we help the customers, and also how can we enable partners to help customers? So I'll give you and example. The City of Louisville in Kentucky. They were a City on a Cloud winner, and they, basically what they're building with a partner of ours, Slingshot, they (laughs) get, I was, I used to be in Traffic Management Authority, back in my days, and we used to do traffic studies. So, basically, they send an intern out with clicker or have those black strips to count the number of cars, and based on that, we can plan whether we want to increase the signal timing on this approach, or we can plan the detours if we close the street, what's the, and it's all manual. It used to take, cost us anywhere from 10 to 50 thousand dollars, every traffic study. So what Louisville did with Slingshot is they got the free Waze data that they get gives all of the raw traffic information. Slingshot brought that on to a AWS platform, and now they are building a traffic analysis tool, which now you can do like a snap of a finger, get the analysis and you can manage the signal-approach timing. The cool thing about this is, they're building it in open source code. And the code's available on GitHub, and I was talking to the Chief Data Officer of Louisville, who's actually going to be speaking at this event later today. 12 other cities have already looked into this. They've started to download the code, and they are starting to use it. So, collaboration through partners also enables collaboration amongst all of our customers. >> And also, I'd just point out, that's a great example, love that, and that's new for me to hear that. But also, to me the observation is, it's new data. So being able to be responsive, to look at that opportunity. Now, it used to be in the old world, and I'm sure you can attest to this, being a CIO back in the day, is okay, just say there's new data available, you have to provision IT. >> Oh my God, yeah. >> I mean, what, old way, new way. I mean, compare and contrast the time it would take to do that with what you can do today. >> It's a big, huge difference. I'll tell you as the CIO for the State of Illinois, when I started in early 2015, in my first performance management session, I asked my Infrastructure Management Team to give me the average days it takes to build a server, 49 days. I mean, you're talking seven weeks or maybe, if you talk, 10 business weeks. It's not acceptable. I mean the way the pace of innovation is going, with AWS on cloud, you are talking about minutes you can spin up that server. And that's what we are seeing, a significant change, and that's why Louisville-- >> And I think you got to think it's even worse when you think about integration, personnel requirements, the meetings that have to get involved. It's a nightmare. Okay, so obviously cloud, we know cloud, we love cloud, we use cloud ourselves. So I got to ask you this could, City in a Cloud program, which we've covered in the past, so last year had some really powerful winners. This has been a very successful program. You're involved in it, you have unique insights, you've been on both sides of the table. How is that going? How is it inspiring other cities? What's the camaraderie like? What's the peer review? Is there a peer, is there a network building? How is that spreading? >> That is actually enabling collaboration in a significant manner. Because, you know, you are openly telling what you want to do, and then you are doing that. Everybody is watching you. Like Louisville is a perfect example where they built this, they're building this, and they're going to share it through open source code to all the cities. 12 is just the beginning. I'd not be surprised if there are 120 cities that are going to do this. Because who doesn't want to save two hundred, three hundred thousand dollars a year? And also lots of time to do the traffic studies. Same thing we have seen with, as Virginia Beach is building their Early Flood Warning System. There are other cities who are looking into, like how do we, New Orleans? And others are looking at, "How do we take what Virginia Beach has built? "And how can we use it for us?" And yesterday, they announced this year of the winners that includes Las Vegas, that includes LA Information Technology Department, that includes the City of Philadelphia, and I've been in conversations with all of the CIOs, CDOs, and the leaders of these agencies. The other thing, John, I have seen is, there's a phenomenal leadership that's out there right now in the cities and states that they want to innovate, they want to collaborate, and they want to kind of make a big difference. >> Hold on, hold on, so one more question, this is a really good question, want to get, follow-up on that. But this, what you're talking about to me signifies really the big trend going on right now in this modern era. You've got large cloud scale. You have open source, open sharing, and collaboration happening. This is the new network effect. This is the flywheel. This is uniquely different. This kind of categorizes cloud. And this wasn't available when IT systems and processes were built, 20, 30 years ago. I mean, this is the big shift, you, I mean do you agree? >> Absolutely, this is the big shift, the availability of the cloud, the ubiquitous nature of mobile platform that people have. The newer way of, like, the natural language processing, use of Alexa is becoming so prevalent in government. I mean, in City of Chicago, 50% of the 311 calls that we used to get in 2010, 3 1/2 million of those were informational in nature. If I could offload that on to my Alexa Skills, I can free up my workforce, the 311 call-takers, to do much better, higher-level, you know, call-taking, as opposed to this. So you're absolutely right. I've seen the trends we are seeing is, there is lots of collaboration going on between the governments and partners. I'm also seeing the governments are going at modernization from different points based on their pain points. And I'm also seeing a definite acceleration in modernization. Government, because the technology, AWS, the cloud, our services that we are seeing. And the pace of innovation that AWS brings is also enabling the acceleration in governments. >> Yeah, to help put a point on the, on the conversation here, there's been for years discussion about, "Well, what is the changing role of the CIO?" You've sat on that side of the table, you know, worked with lots of COs, what do you see is the role of the future for the CIO when, specifically when you talk state and local governments? >> I would say CIO is the kind of has to be an enabler of government services. Because if I go back to my city days and working with a mayor, or my state days, working with a governor, at the end of the day, the governor or the mayor is looking at creating better quality of life, providing better health, better education, better safety, et cetera. And CIO is kind of the key partner in that metrics to enable what the governor, what the mayor, the agency directors want to do. And because now data enables the CIO to kind of quickly give solutions, or AI services, Alexa and Polly and Rekog ... All of these things give you, give me as a CIO, ability to provide quick wins to the mayor, to the governor, and also very visible wins. We are seeing that, you know, CIO is becoming a uniquely positioned individual and leader to kind of enable the government. >> All right, thanks so much for comin' on theCUBE. Love the insight, love to follow up. You bring a great perspective and great insight and Amazon's lucky to have you on the team. Lot of great stuff goin' on in the cities and local governments. It's a good opportunity for you guys. Thanks for coming on, appreciate it. >> Thank you very much. >> It's theCUBE live here in Washington DC for AWS, Amazon Web Services Public Sector Summit, I'm John Furrier, Stu Miniman, again second year of live coverage. It's a packed house, a lot of great cloud action. Again, the game has changed. It's a whole new world, cloud scale, open source, collaboration, mobile, all this new data's here. This is the opportunity, this is what theCUBE's doing. We're doin' our part, sharing the data with you. Stay with us, more coverage from day two, here in Washington, after this short break. (techno music)
SUMMARY :
Brought to you by Amazon Web Services for some of the new capabilities, Good to see you, Stu, good morning. and the cities provide services to the residents, and you can build a workforce and talent, et cetera. So based on the answer then, based on the balance you know, It's about the underlying data, and eventually, I left the city, I went work for Cisco, What are the benefits for partners to work with AWS? get the analysis and you can manage and that's new for me to hear that. the time it would take to do that I mean the way the pace of innovation is going, the meetings that have to get involved. in the cities and states that they want to innovate, This is the new network effect. I mean, in City of Chicago, 50% of the 311 calls And CIO is kind of the key partner in that metrics and Amazon's lucky to have you on the team. This is the opportunity, this is what theCUBE's doing.
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Sandy Carter, Amazon Web Services | Girls in Tech Catalyst Conference 2018
>> From San Francisco, it's theCUBE, covering Girls in Tech Catalyst Conference, brought to you by Girls in Tech. >> Hey, welcome back, everybody. Jeff Frick here at theCUBE. We're in downtown San Francisco at the Girls in Tech Catalyst Conference, about 700 professionals. It's a really cool conference. It's a single track, two days. All the presentations are about 15, 20 minutes of people telling their stories, vast majority of women, a couple of men. I think they brought in some younger kids to get inspired. So we're excited to be here. Been coming for a couple years. And our next guest, many time CUBE alum, I just know her as Sandy Carter. She does have a title, VP of Enterprise Workloads at AWS, but I dunno, Sandy, how long have you been coming on the CUBE, how many years? >> Oh, wow, I don't know. >> Too many to count, and we don't want to admit to it. >> Yeah, it's true, but thank you guys for supporting events like this, Jeff, because I know that you guys have been supporting Women in Tech, and Girls in Tech for so long, and we really appreciate that very much. Thank you. >> And it's so important, and we love to do it, and we especially love when it's right in our backyard. It makes it really easy just to grab some crew and run up here. >> (laughing) That's right. >> So give us an update. You are chairman of the board now, and I think we've probably talked to probably three or four board members today. It's a really impressive group of people, and Adriana has done amazing things with this organization in the last 11 years. And you're sittin' watching it grow internationally, the number of events, the types of events. Give us your perspective. >> Yeah, so I think Girls in Tech is an amazing organization. That's why I decided to join the board and then to take on the chairman of the board position. And the reason I think it's so powerful is that it's really focused on young women, millennial women who are looking to become business owners, leaders, entrepreneurs and who want to apply technology to make themselves more competitive. You know, I know Adriana came up with this in 2007, but even today, the mission and the values are still really relevant. These are the top things that women need to know about today, and this is really about filling up the pipeline, sharing experiences. The conference today, I don't know if you got to hear any of the sessions, but they're really not about, you know, let me do technical skills. It's really about how do you break through the next level, how do you grow your business, how do you scale. And so it's really those type of topics that we can share experiences as experienced businesswomen with others so that they can learn and grow from that. >> Right, and just really simple stuff, like raise your hand, take the new assignment, take a risk. >> You got it, the crooked path. >> The crooked path, that was the one I was looking for. And do something that you don't necessarily have experience in, whether it's finance or accounting or HR or product management, sales. You know, take a risk, and chances are you're going to get paid off for it, and I think those simple lessons are so, so important. And then, of course, which comes up time and time again is just to have role models, senior role models who've been successful, who have an interesting story, they have a crooked path, it wasn't easy it wasn't even defined, but here they are as successful so that the younger women can look up to them. >> Yeah, absolutely, and I think that it's, you know the big message today, I think, for women was have the confidence. Basically that sums up what you just said, right? Be confident, and even if you don't feel confident, show confidence. >> Right, right. >> Which I think is so important.. >> Fake it 'til you make it, right >> That's right. You got it, you got it. >> 'Cause everybody else is, you just don't know it. >> That's right. >> You think they know what they're doing. They're doing the same thing. >> That's right. Well, it's interesting, one of the stats today said that men will apply for a job if they have 60% of the qualifications. Women will only apply if they have between 90 or 95%. So I think being able to know that you're confident and that you're going to make it, that you're going to do things and going ahead and taking that risk is really important. >> So the other big shift that we've seen in this conference is really the corporate sponsorship. So AWS is here obviously. You're here. You're on the board. But the amount of logos, the size of the companies on the logos has really grown a lot since I think we were first at this one in Phoenix in 2016. >> Phoenix, yeah, yeah, yeah, yeah. >> So not only, again, is that the right thing to do, but it's also really good business to get involved, and you great ROI for being involved in these types of organizations. >> That's right. You know, innovation is really about having diversity of thought, and so having women, having different colleges, having different sexual orientation, just diversity really helps you to innovate. >> Right. >> 93% of CEOs said that innovation is their number one competitive advantage. So we're seeing a lot of companies now pick up on that and know that they've got to come and they've got to be attractive, not only as a company that people would want to work at, an employer, but also just as a company that you might want to do business with. So today, I love the story of GoDaddy. She was saying GoDaddy was targeting small businesses. Well, most of those are run by women, but they weren't doing the right targeting. So I think it's a phenomenal change that we're seeing with companies like this doing the support. AWS, Amazon Web Services is proud to be one of the major sponsors. We had Charlie, one of our SVPs on stage today, chatting about lessons he've learned, but we've also don't things like understanding how women are buying, and we're doing focus groups, and we're doing different things like that to really help us gain insight. >> Right, so final question, from the board point of view as you look forward in the expansion opportunities, they seem almost unlimited between the countries, the participants and the variation in types of events that you guys are undertaking. It's really quite a bit to bite off. >> Well, you know, we have kind of a two prong mission. One is for entrepreneurs, and so you're seeing us really emphasize classes and things like our Amplify event where we have women come and pitch ideas that really grow that side of the business. In fact, I was just in Cuba last week, on behalf of Girls in Tech, talking to female entrepreneurs there and how we could help them because they really want us to set up some classes there to teach these entrepreneurs how to grow. And the second prong of our mission is around technology and coding. So we've got classes. We've got things with AWS like We Power Tech, so that women can learn technology and use it for their competitive advantage. So while it seems like we're doing a lot of things, it's really around that two prong mission, entrepreneurship and that coding technology focus. >> Alright, well, Sandy, thanks again for stopping by, and really congratulations to you, not only in what you do at AWS, but really just some very, very important work with Girls in Tech. >> Great, thank you, and thank you for being so supportive. We appreciate it very much. >> Our pleasure. Alright, She's Sandy Carter. I'm Jeff Frick. You're watching theCUBE from Girls in Tech Catalyst in downtown San Francisco. Thanks for watchin'. (upbeat electronic music)
SUMMARY :
brought to you by Girls in Tech. on the CUBE, how many years? Too many to count, and we because I know that you and we love to do it, You are chairman of the board now, And the reason I think Right, and just really simple stuff, so that the younger women and I think that it's, You got it, you got it. is, you just don't know it. They're doing the same thing. and that you're going to make it, is really the corporate sponsorship. that the right thing to do, helps you to innovate. and know that they've got to come that you guys are undertaking. it's really around that two prong mission, and really congratulations to you, you for being so supportive. from Girls in Tech Catalyst
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Sandy Carter, Amazon Web Services | AWS Summit SF 2018
>> Announcer: Live from the Moscone Center, it's theCUBE covering AWS Summit San Francisco, 2018, brought to you by Amazon Web Services. (techy music playing) >> Welcome back, I'm Stu Miniman joined by my cohost Jeff Frick, and this is theCUBE's live coverage of AWS Summit San Francisco. We are thrilled to welcome back to the program Sandy Carter, who's a vice president with Amazon Web Services. Been with the company about a year. We've had you on the program many times, but first time since you've been at AWS, so... >> That's right, I'm celebrating my year yesterday with Amazon Web Services. >> Stu: And no cake, all right. >> I had a cake yesterday, actually, cake and champagne, by the way. (laughing) >> Sandy, we always love to hear, you know, you talk to so many customers, you know, bring us back for a little bit. What brought you to AWS, what's exciting to your customers when you're talking to them today? >> Well, you know, I really love innovation, I love being innovative, and you know, bar none Amazon is the most innovative company out there today, but really what brought me to Amazon was their focus on the customer, really "obsession" on the customer. When they say obsession they really mean obsession. They work backwards from the customer. We really have this big, big thrust. In fact, one of my favorite stories is when I first came to Amazon we'd be in these meetings and people would say, "Well, what does Low Flying Hawk think about this," or "What does Low Flying Hawk think about that," and I was like, "Who is Low Flying Hawk?" Well, he's a person who would give comments on a forum and just a person who wasn't even spending millions of dollars with Amazon but just had a lot of big clout. We actually just opened a building named Low Flying Hawk, believe it or not. >> Jeff: Have you identified this person? >> They do know who he is, yes. (laughing) But it's really, it just symbolizes the focus that Amazon has on the customer and why that's so important. >> And Sandy, at re:Invent you actually, you spoke to the analyst, I was listening to the session. It's not just kind of, people think AWS they think public cloud. You work for Amazon, it's everything kind of across what you think of Amazon.com, AWS, everything from drones and using Kindles and everything like that. Can you give us a little bit of kind of that pan view of how Amazon looks at innovation? >> Yeah, so it's really interesting. Amazon is very methodical in the way that we innovate, and what we do is we really try to understand the customer. We work backwards from the customer, so we do a press release first, we do frequently asked questions next, and then we do a narrative-- >> You're saying you do an internal press release, yes, yes. >> Yeah, internal press release. Internal frequently asked questions, and then we review a six-page document, no PowerPoints whatsoever, which enables us to debate and learn from each other and just iterate on the idea that makes it better and better and better so that when we come out with it it's a really powerful idea and powerful concept, something that the customers really want. >> So, we'll ask you what you're doing now, but one more kind of transition question, what was your biggest surprise? You know, there's a lot of kind of mystery from people on the outside looking in in terms of culture, and we know it's car driving and innovative growing like crazy company, not only in business but in terms of people. What was your biggest surprise once you kind of got on the inside door? >> My biggest surprise was just how incredibly encouraging and supportive the team is at AWS. My boss is Matt Garman, he's been supportive since day one, you know, Andy, they just cheer you on. They want you to do well and I've really never been at a company that everybody's really pulling for you to be successful, not political infighting but really pulling for you to be successful. So, that's really was the biggest surprise to me, and then that customer obsession. Like, it's not customer focus, it really is customer obsession. >> Right, I think it's so well illustrated by the, again not AWS, but Amazon with the store, right, with no cash register, no people. >> Sandy: Amazon Go. >> To think about that-- >> Sandy: Yeah. >> From the customer point of view is nobody likes to stand in line at the grocery store, so it's such a clean illustration of a customer centric way to attack the problem. >> And I love that because what we did is we opened up the beta first for employees, so we would go in and play with it and test it out, and then we opened it up in Seattle and we would give customer tours. Now it's open to the public in Seattle, so it just again shows you that iterative process that Amazon uses and it's super cool, have you guys been? >> Jeff: Have not been. >> Ugh, in fact, my daughter went in. She put on a mask, she was going to fool the system but it wasn't fooled. All the ML and all the AI worked brilliantly. >> I love how everyone loves to get so creative and try to, you know, get through the system, right, try to break the system. >> I know, but my daughter, that's what I would figure for sure. (laughing) >> So, what are you working on now? You've been there a year, what are you working on? >> So, we are innovating around the enterprise workload, so we know that a lot of startups and cloud native companies have moved to the cloud, but we're still seeing a lot of enterprises that are trying to figure out what their strategy is, and so, Stu and Jeff, what I've been working on is how do we help enterprises in the best way possible. How can we innovate to get them migrated over as fast as possible? So for instance, we have Windows that runs on AWS. It's actually been running there longer than with any other vendor and we have amazing performance, amazing reliability. We just released an ML, machine learning OMI for Windows so that you can use and leverage all that great Windows support and applications that you have, and then you guys saw earlier I was talking to VMware. We know that a lot of customers want to do hybrid cloud on their journey to going all-in with the cloud, and so we formed this great partnership with VMware, produced an offering called VMware Cloud on AWS and we're seeing great traction there. Like Scribd's network just talked about how they're using it for disaster recovery. Other customers are using it to migrate. One CIO migrated 143 workloads in a weekend using that solution. So, it just helps them to get to that hybrid state before they go all-in on the cloud. >> So, are they, I was going to say, are they building a mirror instance of what their on-prem VMware stack is in the Amazon version? Is that how they're kind of negotiating that transition or how does that work? >> So, with VMware they don't have to refactor, so they can just go straight over. With Microsoft workloads what we're seeing a lot of times is maybe they'll bring a sequel app over and they'll just do a lift and shift, and then once they feel comfortable with the cloud they'll go to Aurora, which as you've found was the fastest growing service that AWS has ever had, and so we see a lot of that, you know, movement. Bring it over, lift and shift, learning and you know, if you think about it, if you're a large enterprise one of your big challenges is how do I get my people trained, how do I get them up to speed, and so we've done... Like, we've got a full dot net stack that runs on AWS, so their people don't even have to learn a new language. They can develop in Visual Studio and use PowerShell but work on AWS and bring that over. >> You know, Sandy, bring us inside your customers because the challenge for most enterprises is they have so many applications. >> Sandy: Yeah. >> And you mentioned lift and shift. >> Sandy: Yeah. >> You know, I know some consultant's out there like, "Lift and shift is horrible, don't do it." It's like, well, there's some things you'll build new in the cloud, there's some things you'll do a little bit, and there's some stuff today lift and shift makes sense and then down the road I might, you know, move and I've seen, you know, it was like the seven Rs that Amazon has as to do you re-platform, refactor-- >> That's right. >> You know, all that and everything, so I mean, there's many paths to get there. What are some of the patterns you're hearing from customers? How do they, how is it easier for them to kind of move forward and not get stuck? >> Well, we're seeing a lot of data center evacuations, so those tend to be really fast movement and that's typically-- >> Jeff: Data center evacuation-- >> Yeah, that's what-- >> I haven't heard that one. >> Yeah, that's what, evacuation, they've got to get out of their data center buyer for a certain date for whatever reason, right? They had a flood or a corporate mandate or something going on, and so we are seeing those and those are, Stu, like lift and shift quickly. We are seeing a lot of customers who will create new applications using containers and serverless that we talked about today a lot, and that's really around the innovative, new stuff that they're doing, right. So, Just Eat, for instance, is a large... They do online food service out of the UK. I love their solution because what they're doing is they're using Alexa to now order food, so you can say, "Alexa, I want a pizza delivered "in 20 minutes, what's the best pizza place "that I can get in 20 minutes?" Or "I want sushi tonight," and Alexa will come back and say, "Well, it's going to take "an hour and a half, you had sushi two days ago. "Maybe you want to do Thai food tonight." (laughing) And so it's really incredible, and then they even innovated and they're using Amazon Fire for group ordering. So, if there's a big football game or something going on they'll use Amazon Fire to do that group ordering. All that is coming in through Alexa, but the back end is still Windows on AWS. So, I love the fact that they're creating these new apps but they're using some of that lift and shift to get the data and the training and all that moving and grooving, too. >> Yeah, what do you, from the training standpoint, how, you know, ready are customers to retrain their people, you know, where are there shortages of skillsets, and how's Amazon, you know, helping in that whole movement? >> Well, training is essential because you've got so many great people at enterprises who have these great skills, so what we see a lot of people doing is leveraging things like dot net on AWS. So, they actually... They have something they know, dot net, but yet they're learning about the cloud, and so we're helping them do that training as they're going along but they still have something very familiar. Folks like Capital One did a huge training effort. They trained 1,000 people in a year on cloud. They did deep dives with a Tiger Team on cloud to get them really into the architecture and really understanding what was going on, so they could leverage all those great skills that they had in IT. So, we're seeing everything from, "I got to use some of the current tools that I have," to "Let me completely move to something new." >> And how have you, you've been in the Bay Area also for about a year, right, if I recall? >> Actually, I just moved, I moved to Seattle. >> Jeff: Oh, you did make the move, I was going to say-- >> I did. (laughing) >> "So, are they going to make you move up north?" >> I did because I was-- >> You timed it in the spring, not in November? >> I did, there you go. (laughing) When it's nice and sunny, but it's great. >> Exactly. >> It's great to live in Seattle. Amazon has such a culture that is in person, you know, so many people work there. It's really exhilarating to go into the office and brainstorm and whiteboard with people right there, and then our EBCs are there, so our executive briefing center is there, so customers come in all the time because they want to go see Amazon Go, and so it's really an exciting, energizing place to be. >> Yeah, I love the line that Warner used this morning is that AWS customers are builders and they have a bias for action. So, how do you help customers kind of translate some of the, you know, the culture that Amazon's living and kind of acting like a startup for such a large company into kind of the enterprise mindset? >> That's a great question, so we just proposed this digital innovation workshop. We are doing this now with customers. So, we're teaching them how to work backwards from the customer, how to really understand what a customer need is and how to make sure they're not biased when they're getting that customer need coming in. How to do, build an empathy map and how to write that press release, that internal press release and think differently. So, we're actually teaching customers to do it. It's one of our hottest areas today. When customers do that they commit to doing a proof of concept with us on AWS on one of the new, innovative ideas. So, we've seen a lot of great and exciting innovation coming out of that. >> All right, well, Sandy Carter, so glad we could catch up with you again. Thanks for bringing discussion of innovation, what's happening in the enterprise customers to our audience. For Jeff Frick, I'm Stu Miniman, we'll be back will lots more coverage here, you're watching theCUBE. (techy music playing)
SUMMARY :
2018, brought to you We are thrilled to welcome back That's right, I'm celebrating my cake and champagne, by the way. love to hear, you know, I love being innovative, and you know, Amazon has on the customer across what you think of Amazon.com, AWS, that we innovate, and what we do You're saying you do an and just iterate on the idea that makes it So, we'll ask you they just cheer you on. again not AWS, but Amazon with the store, is nobody likes to stand in And I love that because what we did All the ML and all the and try to, you know, I know, but my daughter, that's what for Windows so that you and so we see a lot of because the challenge for most enterprises as to do you re-platform, refactor-- there's many paths to get there. and serverless that we and so we're helping them do that training moved, I moved to Seattle. I did. I did, there you go. you know, so many people work there. So, how do you help to doing a proof of concept with us we could catch up with you again.
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Tricia Davis-Muffet, Amazon Web Services | AWS Public Sector Q1 2018
(techno music) >> (Narrator) Live from Washington, DC. It's Cube conversations with John Furrier. (techno music) >> Hello and welcome to the special exclusive Cube Conversations here in Washington, DC. I'm John Furrier host of the Cube. Here at Amazon Web Services Headquarter World Headquarters for Public Sector Summit in Arlington, Virginia. Our special guest is Tricia Davis-Muffett, who is the Director of Marketing for Worldwide Amazon Web Services. Thanks for joining me. >> Yep. >> So we see each other and reinvent Public Sector Summit, but you're always running around. You got so many things going on. >> I am. >> Big responsibility here. (Tricia laughs) >> You guys are running hard and you have great culture, Teresa's team. Competitive, like to have fun. Don't like to lose. (Tricia laughs) >> What's it like being a marketer for the fastest growing hottest product in Washington, DC and around the world? >> Yeah. I mean it's really been amazing. When I came here, I kind of took a leap of faith on the company because it's four and a half years ago that I came. I literally accepted the job before we had even gotten our first fed ramp approval. So it wasn't entirely sure that this was going be the place to go to for technology for the government, but I really loved the way that we were helping the government innovate and save money of course. I think most of us who are in Public Sector have a passion for citizens, and for making government better and so that's really what I saw in Teresa and her team that they had such a passion to do that and that the technology was going to help the government really improve the lives of citizens. It's been great. One of the things that's been amazing is the passion that our customers have for our technology. I think they get a little taste of it and they go "Wow, I can't believe what I can do "that I thought was impossible before." And so I love seeing what our customers do with the technology. >> It's something people would think might be easy to be a marketer for Amazon, but if you think about it, you have so much speed in your business. You have a cult of personality in the Cloud addiction, or Cloud value. In addition to the outcomes that are happening. >> Uh huh. >> We're a customer and one kind of knows that's pretty biased on it. We've seen the success ourselves, but you guys have a community. Everywhere you go, you're seeing Amazon as they take more territory down. Public Cloud originally, and now Enterprise, and Public Cloud, Public Sector Enterprise, Public Cloud. Each kind of wave of territory that Amazon goes in to Amazon Web Services, is a huge community. >> Yeah. >> And so that's another element. I mean Public Sector Summit last year it felt like Reinvent. So this years going to be bigger. >> Yeah. We had 65 hundred plus people attend last year, just in the Washington DC area and we've also expanded that program now and we are taking our Public Sector Summit specifically for government education non-profit around the world. So this year we will be in Brussels, and Camber, Australia. We have great adoption in Australia as well with the government there. In Singapore, Ottawa. So we're really expanding quite a bit and helping governments around the world to adopt. >> So if that's a challenge, how are you going to handle that because you guys have always been kind of with Summits. Do you coattail Summits? Do you go separate? >> No. We go separate. We actually have the Public Sector Summits we take the experience of our technology to government towns that wouldn't typically get a Summit. So for instance here in the United States of course, San Francisco and New York there's a lot of commercial businesses. We have our big Summits there, but there's not as much commercial business here in Washington DC, so really Public Sector takes the lead here. And then we focus on some of the things that really are most important to our Public Sector customers. Things like, procurement and acquisition. Things like the security and compliance that's so critical in the government sector. And then also, we do a really careful job of curating our customers, because we know that our government customers want to hear from each other. They want to hear from people who are blazing a trail within the Public Sector. They don't necessarily want to hear about what we want to say. They want to hear what their peers are doing with the technology. So last year, we had over a hundred of our Public Sector customers speaking to each other about what they were doing with the Cloud. >> And I find that's impressive. I actually commented on the Cube that week that it's interesting you let the customers do the talking. I mean, that's the best ultimate sign of success and traction. >> Yeah. And the great thing is, you know I've worked in other places in the Public Sector and government customers can be kind of shy about talking about what they're doing. You know, there are very motivated to just keep things going calmly, quietly, you know get their jobs done. But I think... >> Well, it doesn't hurt when you have the top guy at the CIA say, "Best decision we've ever made." "It's the most innovative thing we've ever done." I mean talk about being shy. >> Yeah. >> That's the CIA, by the way. That's the CIA. And we've also had, people like NASA JPL who've been very outspoken. Tom Soderstrom said that it was conservatively 1/100th of the cost of what it would have been if he had built out the infrastructure himself to build the infrastructure for his Mars landing. I mean that kind of... >> It just keeps giving. You lower prices. Okay I got to change gears, because a couple things that I've observed to every Reinvent, as being a customer and I think I've used Amazon I first came out as an entrepreneur. (inaudible) had no URL support, but that's showing my age. (Tricia laughs) But, here's the thing, you guys have enabled customers to solve problems that they couldn't solve in the past. >> (Tricia) Right. >> You mentioned NASA and then a variety of other (inaudible). But you guys are also in Public Sectors specifically are doing new things. New problems that no ones ever seen before. And society, entrepreneurship, diversity inclusion, education, non-profits. You don't think of Gov Cloud and Public Sector; you think non-profits, education. So it's kind of these sectors that are coming together. This is a new phenomenon. Can you talk and explain the dynamic behind that and the opportunity? >> Sure. I love to hear the stories of what our customers are doing when they really are tackling a problem that no one had thought of before. So for instance, at Reinvent this year, one of our Public Sector customers who spoke was Thorne. And they are using AI to crawl the dark web and help find people who are trafficking children in human trafficking, and that's a great use of AI and that's the kind of thing. It also helps our public servants because it helps to make police officers' jobs more effective. So of course we know that police officers, there are never enough police officers to go around. There's never enough detectives to look into everything that they need to and this makes them so much more effective to make the world a safer, better place. I also love some of the things about educational outcomes. Ivy Tech Community College is one of our great community college customers. And their using big data analysis to put together all of the different data sets that they have about their students and identify who might be at risk of failing a class 10 days into the semester so that they can help intervene with those students. >> Where was that class when I needed it? >> I know. >> Popup and say, "Hey homework time." >> I mean it really is looking at what kind of issues that they're having very early on with attendance, with different behavioral things. >> A great example at Reinvent with the California Community College system. That was a very interesting way. He was up there bragging like it was nobody's business. >> Yeah, and I think the community colleges that really goes into this idea of we're trying to expand opportunity for a wide-range of people. You might think of computer scientists as that's going to be all the Carnegie Mellon and Stanford and MIT people. And of course those are great contributors to computer science, but the fact is that computer science is so critical in so many aspects of life and in so many different kinds of careers. We know that one of the limiters to our own growth is going to be the talent that we have available to take advantage of the technology. We've been really working hard to expand opportunity for a wide-range of people, so that any smart person with an idea, can be using our technology, that's part of what's behind building the AWS Educate Program, which is a program to offer free computer science training to any university student or college student anywhere in the world. >> So it's a program you guys are doing? >> (Tricia) This is a program we are doing, >> What's it called again? >> AWS Educate. And it's a program that offers free credits to use AWS to any student who is enrolled in any kind of university or college anywhere around the world. >> That's a gateway drug to Cloud computing. >> Absolutely. >> Free resources. >> Yeah, and we're giving them a training path so that they can... >> So they want to write some code, or whatever they want to do. >> Yeah, and they can take different paths and learn. Okay, I want to learn a data science pathway, so I'm going to go that way. I want to learn a websites pathway. And they can go through things and build a portfolio of projects that they've actually built. >> So can they tap into some of the AWS AI tools too? >> They can tap into a wide range of tools and they have different levels of tiers of credits that they get, so it's a really great program to really open up Cloud computing. >> Now is there any limitations on that? What grade levels, is it college and above? >> Actually at Reinvent we just opened it up to students 14 and above. >> (John) Beautiful. That's awesome. >> And we also have a program called... >> How do they prove they're a student? >> Having a school, an EDU email address, or their school being registered through the program. >> (John) Okay, that's awesome. >> And then we also have another program called We Power Tech, and that really is a program to help open up the talent pool again to women to underserved communities, to people of different ethnic backgrounds who might not see themselves in technology because they don't see themselves as computer programmers on TV or whatever. >> Or they don't see their peer group in there, or some sort of might be an inclusion issue. >> Right and we're looking at if you take educate and We Power Tech, we're looking at that full pipeline of talent all the way from kids who are deciding should I pursue computer science or not, all the way through to professionals and getting them to try to stay in technology. >> So you guys are legit on this. You're not going to just check the box and focus on narrow things. A lot of companies do that, where they go oh we're targeting young girls or women. You guys are looking at the spectrum broader. >> Yep. And we're really looking at different communities and helping people to find their community in technology so that they can find supportive networks and also find people to mentor them or find people to mentor who are elsewhere. >> How big of a problem is it right now in today's culture and in the online culture to find peers and friends to do work like this? Because it just doesn't seem to me like there's been any innovation in online message groups. Seems like so 30 years ago. (Tricia laughs) >> Yeah. I think it is tough and I think there are somethings that we're trying to break through. For instance, a lot of the role models out there are the same people over and over again. We're trying to find new role models. And we find that through our customers. We find customers who are doing interesting work and we're trying to cultivate their voice and help put them on stage. >> New voices because it's new things. Machine learning, these are new disciplines. Data science across the board. >> Yeah, and one of the things that I love about the technology is it really is has democratizing affect. If you have an idea, you can make that idea happen for very little money, with just your ingenuity and your ability to stick to it. >> I got to ask you the hard question. Shouldn't be hard for you, but Amazon is gritty. It's been called gritty by me, hustling, but they're very good with their money. They don't really waste a lot in marketing. >> Yeah we're frugal. >> Very frugal, but you're very efficient, so I got to ask your favorite gorilla marketing technique. Cause you guys do more with less. >> (Tricia) We do. >> Once been criticized in Wired magazine. I remember reading years ago about they were comparing the Schwag bag to Reinvent. (Tricia laughs) Google almost gave out phones. It's kind of like typical reporter, but my point is you guys spend your money on education to engineers. You don't skip on that, but you might not put the flair onto an event, but now you guys are doing it. >> I think there are two things. So one of them is the aesthetic of our events. We typically do have a very stripped down aesthetic and we've made frugal look cool. I think that's one of the things I learned when I came here was go ahead and have the concrete floor and put quotes from customers there instead of paying to carpet it. So don't waste money on things that don't add value that's one of the core tenants of what we do in marketing. >> Get a better band instead of the rug. You guys have always had great music. >> We do always have great music. >> Tricia, tell me about your favorite program or project you've done a lot over the years. Pick your favorite child. What's your favorite? You have a lot of great stuff going on. Do you have a favorite? >> I think that my favorite is probably the City on a Cloud Innovation Challenge which is something we've done every year for the last four years. And we really went and asked cities, "Tell us what you're doing with our technology." Because we weren't sure what they were doing cause it's not very expensive for cities to run on us. We found that they were doing incredible things. They were doing water monitoring in their cities to help improve the quality of life of their citizens. They were delivering education more effectively. They were helping their transportation run in a more effective way. New York City Department of Transportation was doing really cool citizen facing apps to help them manage their transportation challenges and also cities all around the world. We've had people put in things about garbage management in Jerusalem and about lighting management in a Japanese city. We've had all kinds of really interesting stories come out and I just love hearing what the customers are doing and this year we added a Dream Big category where we said, "If you had the money, what would "you do with technology in your city?" and we've been really thrilled to be able to offer grants and fund some of those things to help cities get started. >> That's awesome. Not only is it engaging for them to engage with you through the program, it's inspirational. The use cases are everything from IOT to every computer. >> Yeah and we've also had partners submit as well, and we've learned about things like parking applications that cities are putting in place to help their citizens find better parking or all kinds of really interesting. How to keep track of the tree and do a tree census in their cities. Things like that. >> Maybe I'll borrow that and give you credit for it as a Cube question. What would you do if you had unlimited money? >> Exactly. (John laughs) Well the great part is that most of the cities find out that they can do what they want to do with very little money. They think it's going to be millions of dollars and then they realize, "Oh my gosh, it's going to be hard "for me to spend this 50 thousand dollar grant "because it doesn't cost that much." >> That's awesome and you got a big event coming up in June. Public Sector Summit again. Any preview on that? Any thing you can share? I'm sure it's a lot of things up in the air. >> A lot of really cool things. We are very excited to have some of our great customers on stage again. We're also this year going to have a pre day where we're going to feature Air and Space workloads on AWS. So that's going to be really interesting. I think we're going to have Blue Origin there and we're going to talk about what it's going to take to get to the next planet. >> And certainly that's beautiful for Cloud and also a huge robotics trend. People love to geek out on space related stuff. >> Yep. >> Awesome. Well the Cube will be there. Any numbers? Is it going to be the same location? >> It's going to be the same location at the Convention Center June 20th and 21st. We're going to have boot camps and certification labs and all that kind of stuff. I expect we'll grow again, so definitely more than seven thousand people. >> How big was the first one? >> Oh my gosh, the first one was in a little hotel conference room. I think there were a hundred and 50 people there. (Tricia laughs) >> Sounds like Reinvent happening all over again. We've seen this movie before. >> (Tricia) Yep. >> Tricia, thanks so much for coming on the Cube here. In the headquarters of Amazon Web Services Public Sector Summit in Washington DC. We're in Arlington, Virginia, right next to the nation's capital. I'm John Furrier. Thanks for watching. (techno music)
SUMMARY :
It's Cube conversations with John Furrier. I'm John Furrier host of the Cube. You got so many things going on. (Tricia laughs) Competitive, like to have fun. be the place to go to for technology for the government, to be a marketer for Amazon, but if you think about it, We've seen the success ourselves, And so that's another element. and helping governments around the world to adopt. So if that's a challenge, how are you going to handle that So for instance here in the United States I mean, that's the best ultimate sign And the great thing is, you know I've worked "It's the most innovative thing we've ever done." of the cost of what it would have been But, here's the thing, you guys have enabled customers and the opportunity? and that's the kind of thing. I mean it really is looking at what kind of issues A great example at Reinvent with the We know that one of the limiters to our own growth And it's a program that offers free credits to use AWS Yeah, and we're giving them a training path So they want to write some code, so I'm going to go that way. of credits that they get, so it's a really great to students 14 and above. That's awesome. or their school being registered through the program. We Power Tech, and that really is a program Or they don't see their peer group in there, of talent all the way from kids who are deciding You guys are looking at the spectrum broader. and also find people to mentor them and in the online culture to find peers and friends For instance, a lot of the role models out there Data science across the board. Yeah, and one of the things that I love I got to ask you the hard question. so I got to ask your favorite gorilla marketing technique. the Schwag bag to Reinvent. that's one of the core tenants of what we do in marketing. Get a better band instead of the rug. You have a lot of great stuff going on. and also cities all around the world. Not only is it engaging for them to engage with you that cities are putting in place to help their citizens Maybe I'll borrow that and give you credit for it and then they realize, "Oh my gosh, it's going to be hard That's awesome and you got a big event coming up in June. So that's going to be really interesting. People love to geek out on space related stuff. Is it going to be the same location? It's going to be the same location Oh my gosh, the first one was We've seen this movie before. right next to the nation's capital.
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Lowell Anderson, Amazon Web Services Inc - #AWS - #theCUBE
live from san jose in the heart of Silicon Valley it's the cube covering AWS summit 2016 hey welcome back everyone we are live in Silicon Valley for AWS Amazon Web Services summit in Silicon Valley this is the cube silicon angles flagship program we go out to the events and extract the signal from the noise i'm john for with my co-host Lisa Martin our next guest is Lowell anderson senior manager product marketing of AWS Amazon Web Services welcome to the cube thanks for having me it's great to be here first time cube alumni welcome to the cube alumni list love to get you on because you know you're in the product team and you're in go to market as well as you gotta look into the product suites and one of the things that's been super impressive of AWS over the years since I've been following you guys for a decade since you started in the cube of the past four years is the tsunami of product releases the cadence of jesse's law I call it yeah and Amazon's law which is just constant slew of releases more and more every time not just reinvented yeah you get the summit's which are exploding right there were tiny right years ago right got new york and here what's what's coming out now what's the secret sauce how do you guys do it and give us some insight into what's what's happening here well you know for us innovations in our blood it's a part of our DNA it's what we do we're really except to over 460 new services and features and we'll hit over a thousand this year of new services and features launched compared to last year when we hit like 720 I think something about in that range so the innovation train train keeps going and you know the way we do it is we number one we really focus on our customers one of the benefits of the cloud is that we can innovate and roll out changes really rapidly for them so just that the whole cloud environment allows us to innovate very quickly and very rapidly so that that's exciting and you see that in just a number of releases that we think that I just asked the previous guest on how do you explain the Phenom that is AWS and you know Andy Jassy went to business school the same year us I did and back then the competitive strategy ethos was built some proprietary technology build a fence protected with guards and guys with guns and old you fold the line yeah with open source though the new model is you can't do that anymore so there's one the open source is now a Tier one citizen right and two there's no real walls to build around proprietary technology so the name of the game is speed yeah it's all about speed and the cloud really enables that agility that's one of the biggest benefits that our customers talk about is how freeing up breaking down the walls of your data center effectively so that now your compute and your analytics and your storage expand beyond the walls of that building as rapidly as possible and and the use of open source as you measured I mean we're we're big proponents of open source we have a lot of open source services that that we support as well and and trying to help the developer community really bring those types of technologies to the cloud and enable that's a big part of our success as well it's clear that the competitive strategy game in this new world that Andy and the team are executing is really just more features faster than the competition there is kind of an arms race going on but that is the open source game so with that what is the are the big announcements here obviously this show is much more developer focused yeah yes more getting get getting the weeds breakout sessions one of the key goods that are being talked about here down here in Silicon Valley we really wanted to bring some more technical topics to the table and talk in that vein talk about a couple really key areas around focused around big data and what we're doing to help enable both small and large enterprises use data across their companies in in a more and to develop more competitive applications and make it cheaper make it easier to use and make it more performant than they could possibly imagine without the cloud so using big data is one of the key themes of the conference that we had today and then the other thing that we wanted to talk about was this movement from how we've been architecting services our applications in the past from being based on server to using server list which is really a whole new architectural concept that's allowing our customers to build applications in ways that they could never do before and do it at a cost that they could never make feasible in the past there's some great examples of customer successes that dr. Matt would talked about in the keynote one redfin I think we've all in orcutt have experiences with buying and selling homes but i loved how we talked about friends don't let friends build data centers that in the future it's most organizations are going to run their own data centers are not going to run their own Dana centers and move to AWS benefits like becoming data-driven big data the more users more data more insight you also talked about some of the things coming up you mentioned it to about building with services versus building with servers talk to us about some of the if you could spend a little bit on some of those examples one that particularly spoke to me was what alumina is doing and germs of genome sequencing I got my masters in biological sciences a long time ago and that wasn't even a thought back then or certainly was a massively expensive Todd was a little bit more about how alumina is doing that with AWS and scaling at cost to really facilitate breakthroughs they're saving lives right right well you know that's an exciting example because people that weren't able to see the keynote alumina is the largest genomic secant sequencing company in the world and they've really been able to implement a new architecture that's brought genomic sequencing from an industry that was done you know just for very specific scientific purposes to now something that can be done all over the world to support disease research yeah and and its really the power of big data that's made that happen and the reason they selected AWS for that is really just the breadth and depth of the big data services that we provide along with the global deployments that we support with genomic data they mentioned that for many many many many countries in the world they don't want that genomic data to move outside the boundaries of their specific geographic region and so sensitivity eight AWS is one of the few very few cloud providers that has that level of geographic specificity so you can keep the data within that specific compliance issues as well with that too lots of compliance issues of course genomic sequencing lots of federal and health care and HIPAA type requirements surrounding all of that type of information that AWS with our focus on security you know is able to achieve so so number one you know it's this Geographic capability which is a lot of luminarias lee deploy this in a global way but second it's really just a depth of services that we offer whether it's the data warehousing using redshift whether it's the ability to process that data at scale on Hadoop using EMR whether it's the ability to then deliver that data across the world and visualize it and upload it from all those different genomic machines that they've that they put into their individual customers research facilities all of that is capability that AWS is able to deliver to them at a cost I think one of the things he talked about they were looking for I think a hundred percent reduction or a hundred times reduction in cost over trying to do this themselves and and we've achieved that help working together with them you know they've been able to achieve that well I got to get your thoughts on the hybrid cloud because you know I'll see Amazon gets was traditionally pigeon-holed as just public cloud the lines are blurring clearly the success you guys are having it's been moving into the enterprise obviously the CIA delia beat IBM on that was a again different instance in the gov cloud but again in the enterprise deals you're seeing yeah it's up against the Oracles and the IBM's yeah what and they're all talking hybrid yeah yeah how are you guys are dressing it from a product standpoint how do you talk to a customer says hey amazon slow down i love you guys but yeah we need a hybrid on-premise solution yeah that's great great great question i think you know first of all I would say that what we've always said at AWS is really in the fullness of time we expect that you know no Enterprise is really going to want to run their own data center and so we still see that as the end vision that that's that we're gonna achieve in the long run and that most of our customers want to achieve in the long run as well but a critical conversations that they have what are their requirements and you got here is it migration of data yeah that's it so that said you know there's there's a lot of work to do between now and this in this long-term vision and so you know a few of those things that need to be addressed like data migration and we're working really hard to help enterprises move data up into the cloud it seems like it'd be a simple thing right you you take a picture you upload it to dropbox what why is that so hard but when you're talking about terabytes of data that have been in the corporate data centers with applications for years and years and years moving that volume of data up to the cloud is a significant about moving back to the enterprise and then vice versa again making it available for them to use and to and to move back and forth is a critical component so we've done a lot of work on a specific set of features and capabilities to make that happen amazon direct connect or AWS direct connect is one of those services that allows our enterprise customers to establish a high bandwidth connection to AWS regions so that they can move data back and forth the interconnect or to direct connect not going through the internet yes direct connect allows them to leverage private backhaul to establish a really high bandwidth connection and so we'd curity wise alone that's a big deal absolutely it is and then earlier or last year we announced amazon s3 transfer acceleration which is a service that allows them to utilize our backhaul to actually accelerate the upload of data into s3 before you has to use the internet to upload data to s3 and now what we've done is really extended that down to customers where if we can accelerate the transfer of their data to s3 will do that using our backhaul network for them so the next question on top that compounds the problem with data which you guys are solving and because this is I agree is a big challenge for enterprise customers IOT just complicates the hell out of it so yeah that's all about moving data around putting computer where the edges yeah this whole edge of the network definition really plays into some of the train around serverless concepts that you were mentioning earlier how does that relate to the data equation yeah so a couple of things let's touch on IOT for so I OT brings a whole new level of complexity in terms of the number of devices and the distribution of data that you need to bring up into the cloud and so we released this service we call AWS IOT last year at reinvent and what that does is it makes it really easy for customers to acquire data from billions of devices that might be generating trillions of messages at a time and when you think about IOT devices it becomes almost more complex because these devices may or may not be online all the time they may not have a high bandwidth connection they may not have the processing capability on the device itself to be able to update and optimize and do a lot of complex computing so you need a specialized service that can work with those devices when there's intermittent connections pull very small messages from those devices and ingest them on a huge huge scale and so aw SI io t is a service that does that allows our customers to ingest those billions of messages and then connect them to AWS endpoints big data services like red shift and s3 and Kinesis and lambda to process that data and generate applications that could never really be conceived before and today i thought i thought that the the whole discussion from iRobot was super interesting about how they're using AWS IOT to connect their what they call their home robots it's as you know their Roomba vacuum devices to the cloud and and really enable a whole new set of applications and vision for the connected home really interesting stuff enabled by the clouds well before at least answer question I just want to quote been Keogh who was with iRobot his analyst over there Sarah scientist transition I won't get your reaction to maybe Lisa you can chime in he just tweeted transition to the cloud colon treat servers like cattle not pets transition to server less cloud architecture yeah Crete servers like roaches wow that's a pretty bold statement yeah yeah it is but note note not a pet yeah I don't cuddle like a roach Amy's not not cattle it's roaches put the roaches out so taught some mean serverless sure caring servers to roaches let's talk about that that's that yeah let's talk about the evolution a little bit i mean if you went back you know a few years back to when i was writing software as a graduate from from college when you wanted to start off a project first thing you had to do was go buy a server have it delivered find a place to put it plug it in cola network guys get aboard cole router your security what you had it all plugged in you had to put the operating system on it and then you could put your development system on it and then you could finally get started to be months later before you could actually get the project started and it seems strange to even talk about it now but back then this was a a key thing that that limited our ability to start projects forget the cost yeah it's the time and then when you when you finally got it done and you release the application and you wanted to scale it you had to buy more servers and put them in the racks and figure out where to put them and so this just slowed everything down and so when we move to the cloud and we got the ability to lease or really rent servers in the cloud it took away a lot of the hardware aspects of that but still when you had to scale you still needed to provision more servers and you still needed to maintain and patch those operating systems in that software stack and so now what's happening with serverless and with services like lambda is all that goes away now it doesn't mean there aren't servers under the hood of course lambda has lots of servers under the hood that are cranking away and implementing your code at lightning speed but the difference is is you don't have to manage them anymore you don't have to think about them you don't have to worry about them and so with lambda all you do is is load your code up into the cloud it's executed instantaneously when you need it to be executed it scales on demand so as your application scale we can scale the number of lamb functions in parallel to execute your code depending on the load that you're putting on it and you only pay when that code is actually running so you're no longer paying every month for those servers that are sitting in that room whether you're using them or not so we've talked a lot about the services a tremendous amount of services that that AWS is offering compared with the three that you started with ten years ago we've talked about hybrid cloud the opportunities there enterprise in fact you're CTO just last week in London was talking about the challenges with enterprise are really kind of the shift that they want to help customers grow through a lot of capabilities a lot of speeds and feeds what's the the message brother who's the target audience as we wrap up here who are you selling these services to within organizations as we see the empowerment moving from IT to the c-suite two lines of business who are you going after to share with them and get them to come on board as customers whether it's Enterprise yeah yeah I think that's a really good question and it speaks a little bit to our evolution of as a company as well wear when AWS started over 10 years ago really focused on our developer messaging but what we've seen is the just the impact of the cloud is so significant that across the entire suite of different whether that's executives whether that's IT managers whether that's developers there's a significant value proposition that that really at every level across the organization high level of interest and so we're starting to see I think you saw today just across all sizes of companies across all industries and in even within government and an education and public sector a strong interest in motion there's really no industry or government type of agency that's not you know right now looking at not just are they going to move to the cloud but how quickly can we get to the cloud and so that's that's really expanded the scope gray synopsis that actually what dr. Matt would talked about with how infiltrated amazon is into of all the industries big in public sector big and startups born in the cloud now getting to be big and enterprise yeah so low we got one minute left I want to get your thoughts on as an insider at Amazon I'll see you out in the field here you talk to customers in the product marketing you have to look at that 20 mile stare in the marketplace but also talk to the folks internally engineering product management or talk about the coolest things that are going on right now in AWS that people should know about is the machine learning is it lamb does it rip yeah Reds what's the fastest growing what's the coolest tech yeah what is what are the jewels on the table right now that we should look at it and then explore and discover more about you touch on so many cool things I mean the fastest growing service now today is Aurora Aurora is our own my sequel database engine that runs on RDS and it's responsive that's been tremendous it it really offers enterprise-class database capability at a tenth the cost of on-premises solution so that's been that's really our fastest-growing service now it's really exciting in terms of this other stuff that we're just seeing tremendous excitement about you mentioned machine learning predictive analytics a lot of the work that we've been doing at amazon it's been part of our history at amazon for a long time mike says that was thing all everyone wants that right right right so machine learning of course is is something that you know we're gonna continue to see significant cars coming soon I don't know about flying cars it's certainly not on our roadmap that I'm aware of but you know who knows what Steve or what Jeff is working on right now so but we don't have flying cars on our super exciting I'm yeah I'm sure this is but it's again it's a software driven world mark injury since new thesis is not software eating the world but software powering the world and I think that's a whole nother concept its patents you know it's a global economy so a lot of great stuff always a great surprise to see the coolness yeah they did to us the new stuff thanks so much for sharing thank you in the cube this is the cube bringing you all the goodness of AWS here at if your summit in Silicon Valley I'm John Ford Lisa Martin you're watching the q
SUMMARY :
the cube alumni list love to get you on
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Opening Panel | Generative AI: Hype or Reality | AWS Startup Showcase S3 E1
(light airy music) >> Hello, everyone, welcome to theCUBE's presentation of the AWS Startup Showcase, AI and machine learning. "Top Startups Building Generative AI on AWS." This is season three, episode one of the ongoing series covering the exciting startups from the AWS ecosystem, talking about AI machine learning. We have three great guests Bratin Saha, VP, Vice President of Machine Learning and AI Services at Amazon Web Services. Tom Mason, the CTO of Stability AI, and Aidan Gomez, CEO and co-founder of Cohere. Two practitioners doing startups and AWS. Gentlemen, thank you for opening up this session, this episode. Thanks for coming on. >> Thank you. >> Thank you. >> Thank you. >> So the topic is hype versus reality. So I think we're all on the reality is great, hype is great, but the reality's here. I want to get into it. Generative AI's got all the momentum, it's going mainstream, it's kind of come out of the behind the ropes, it's now mainstream. We saw the success of ChatGPT, opens up everyone's eyes, but there's so much more going on. Let's jump in and get your early perspectives on what should people be talking about right now? What are you guys working on? We'll start with AWS. What's the big focus right now for you guys as you come into this market that's highly active, highly hyped up, but people see value right out of the gate? >> You know, we have been working on generative AI for some time. In fact, last year we released Code Whisperer, which is about using generative AI for software development and a number of customers are using it and getting real value out of it. So generative AI is now something that's mainstream that can be used by enterprise users. And we have also been partnering with a number of other companies. So, you know, stability.ai, we've been partnering with them a lot. We want to be partnering with other companies as well. In seeing how we do three things, you know, first is providing the most efficient infrastructure for generative AI. And that is where, you know, things like Trainium, things like Inferentia, things like SageMaker come in. And then next is the set of models and then the third is the kind of applications like Code Whisperer and so on. So, you know, it's early days yet, but clearly there's a lot of amazing capabilities that will come out and something that, you know, our customers are starting to pay a lot of attention to. >> Tom, talk about your company and what your focus is and why the Amazon Web Services relationship's important for you? >> So yeah, we're primarily committed to making incredible open source foundation models and obviously stable effusions been our kind of first big model there, which we trained all on AWS. We've been working with them over the last year and a half to develop, obviously a big cluster, and bring all that compute to training these models at scale, which has been a really successful partnership. And we're excited to take it further this year as we develop commercial strategy of the business and build out, you know, the ability for enterprise customers to come and get all the value from these models that we think they can get. So we're really excited about the future. We got hugely exciting pipeline for this year with new modalities and video models and wonderful things and trying to solve images for once and for all and get the kind of general value and value proposition correct for customers. So it's a really exciting time and very honored to be part of it. >> It's great to see some of your customers doing so well out there. Congratulations to your team. Appreciate that. Aidan, let's get into what you guys do. What does Cohere do? What are you excited about right now? >> Yeah, so Cohere builds large language models, which are the backbone of applications like ChatGPT and GPT-3. We're extremely focused on solving the issues with adoption for enterprise. So it's great that you can make a super flashy demo for consumers, but it takes a lot to actually get it into billion user products and large global enterprises. So about six months ago, we released our command models, which are some of the best that exist for large language models. And in December, we released our multilingual text understanding models and that's on over a hundred different languages and it's trained on, you know, authentic data directly from native speakers. And so we're super excited to continue pushing this into enterprise and solving those barriers for adoption, making this transformation a reality. >> Just real quick, while I got you there on the new products coming out. Where are we in the progress? People see some of the new stuff out there right now. There's so much more headroom. Can you just scope out in your mind what that looks like? Like from a headroom standpoint? Okay, we see ChatGPT. "Oh yeah, it writes my papers for me, does some homework for me." I mean okay, yawn, maybe people say that, (Aidan chuckles) people excited or people are blown away. I mean, it's helped theCUBE out, it helps me, you know, feed up a little bit from my write-ups but it's not always perfect. >> Yeah, at the moment it's like a writing assistant, right? And it's still super early in the technologies trajectory. I think it's fascinating and it's interesting but its impact is still really limited. I think in the next year, like within the next eight months, we're going to see some major changes. You've already seen the very first hints of that with stuff like Bing Chat, where you augment these dialogue models with an external knowledge base. So now the models can be kept up to date to the millisecond, right? Because they can search the web and they can see events that happened a millisecond ago. But that's still limited in the sense that when you ask the question, what can these models actually do? Well they can just write text back at you. That's the extent of what they can do. And so the real project, the real effort, that I think we're all working towards is actually taking action. So what happens when you give these models the ability to use tools, to use APIs? What can they do when they can actually affect change out in the real world, beyond just streaming text back at the user? I think that's the really exciting piece. >> Okay, so I wanted to tee that up early in the segment 'cause I want to get into the customer applications. We're seeing early adopters come in, using the technology because they have a lot of data, they have a lot of large language model opportunities and then there's a big fast follower wave coming behind it. I call that the people who are going to jump in the pool early and get into it. They might not be advanced. Can you guys share what customer applications are being used with large language and vision models today and how they're using it to transform on the early adopter side, and how is that a tell sign of what's to come? >> You know, one of the things we have been seeing both with the text models that Aidan talked about as well as the vision models that stability.ai does, Tom, is customers are really using it to change the way you interact with information. You know, one example of a customer that we have, is someone who's kind of using that to query customer conversations and ask questions like, you know, "What was the customer issue? How did we solve it?" And trying to get those kinds of insights that was previously much harder to do. And then of course software is a big area. You know, generating software, making that, you know, just deploying it in production. Those have been really big areas that we have seen customers start to do. You know, looking at documentation, like instead of you know, searching for stuff and so on, you know, you just have an interactive way, in which you can just look at the documentation for a product. You know, all of this goes to where we need to take the technology. One of which is, you know, the models have to be there but they have to work reliably in a production setting at scale, with privacy, with security, and you know, making sure all of this is happening, is going to be really key. That is what, you know, we at AWS are looking to do, which is work with partners like stability and others and in the open source and really take all of these and make them available at scale to customers, where they work reliably. >> Tom, Aidan, what's your thoughts on this? Where are customers landing on this first use cases or set of low-hanging fruit use cases or applications? >> Yeah, so I think like the first group of adopters that really found product market fit were the copywriting companies. So one great example of that is HyperWrite. Another one is Jasper. And so for Cohere, that's the tip of the iceberg, like there's a very long tail of usage from a bunch of different applications. HyperWrite is one of our customers, they help beat writer's block by drafting blog posts, emails, and marketing copy. We also have a global audio streaming platform, which is using us the power of search engine that can comb through podcast transcripts, in a bunch of different languages. Then a global apparel brand, which is using us to transform how they interact with their customers through a virtual assistant, two dozen global news outlets who are using us for news summarization. So really like, these large language models, they can be deployed all over the place into every single industry sector, language is everywhere. It's hard to think of any company on Earth that doesn't use language. So it's, very, very- >> We're doing it right now. We got the language coming in. >> Exactly. >> We'll transcribe this puppy. All right. Tom, on your side, what do you see the- >> Yeah, we're seeing some amazing applications of it and you know, I guess that's partly been, because of the growth in the open source community and some of these applications have come from there that are then triggering this secondary wave of innovation, which is coming a lot from, you know, controllability and explainability of the model. But we've got companies like, you know, Jasper, which Aidan mentioned, who are using stable diffusion for image generation in block creation, content creation. We've got Lensa, you know, which exploded, and is built on top of stable diffusion for fine tuning so people can bring themselves and their pets and you know, everything into the models. So we've now got fine tuned stable diffusion at scale, which is democratized, you know, that process, which is really fun to see your Lensa, you know, exploded. You know, I think it was the largest growing app in the App Store at one point. And lots of other examples like NightCafe and Lexica and Playground. So seeing lots of cool applications. >> So much applications, we'll probably be a customer for all you guys. We'll definitely talk after. But the challenges are there for people adopting, they want to get into what you guys see as the challenges that turn into opportunities. How do you see the customers adopting generative AI applications? For example, we have massive amounts of transcripts, timed up to all the videos. I don't even know what to do. Do I just, do I code my API there. So, everyone has this problem, every vertical has these use cases. What are the challenges for people getting into this and adopting these applications? Is it figuring out what to do first? Or is it a technical setup? Do they stand up stuff, they just go to Amazon? What do you guys see as the challenges? >> I think, you know, the first thing is coming up with where you think you're going to reimagine your customer experience by using generative AI. You know, we talked about Ada, and Tom talked about a number of these ones and you know, you pick up one or two of these, to get that robust. And then once you have them, you know, we have models and we'll have more models on AWS, these large language models that Aidan was talking about. Then you go in and start using these models and testing them out and seeing whether they fit in use case or not. In many situations, like you said, John, our customers want to say, "You know, I know you've trained these models on a lot of publicly available data, but I want to be able to customize it for my use cases. Because, you know, there's some knowledge that I have created and I want to be able to use that." And then in many cases, and I think Aidan mentioned this. You know, you need these models to be up to date. Like you can't have it staying. And in those cases, you augmented with a knowledge base, you know you have to make sure that these models are not hallucinating. And so you need to be able to do the right kind of responsible AI checks. So, you know, you start with a particular use case, and there are a lot of them. Then, you know, you can come to AWS, and then look at one of the many models we have and you know, we are going to have more models for other modalities as well. And then, you know, play around with the models. We have a playground kind of thing where you can test these models on some data and then you can probably, you will probably want to bring your own data, customize it to your own needs, do some of the testing to make sure that the model is giving the right output and then just deploy it. And you know, we have a lot of tools. >> Yeah. >> To make this easy for our customers. >> How should people think about large language models? Because do they think about it as something that they tap into with their IP or their data? Or is it a large language model that they apply into their system? Is the interface that way? What's the interaction look like? >> In many situations, you can use these models out of the box. But in typical, in most of the other situations, you will want to customize it with your own data or with your own expectations. So the typical use case would be, you know, these are models are exposed through APIs. So the typical use case would be, you know you're using these APIs a little bit for testing and getting familiar and then there will be an API that will allow you to train this model further on your data. So you use that AI, you know, make sure you augmented the knowledge base. So then you use those APIs to customize the model and then just deploy it in an application. You know, like Tom was mentioning, a number of companies that are using these models. So once you have it, then you know, you again, use an endpoint API and use it in an application. >> All right, I love the example. I want to ask Tom and Aidan, because like most my experience with Amazon Web Service in 2007, I would stand up in EC2, put my code on there, play around, if it didn't work out, I'd shut it down. Is that a similar dynamic we're going to see with the machine learning where developers just kind of log in and stand up infrastructure and play around and then have a cloud-like experience? >> So I can go first. So I mean, we obviously, with AWS working really closely with the SageMaker team, do fantastic platform there for ML training and inference. And you know, going back to your point earlier, you know, where the data is, is hugely important for companies. Many companies bringing their models to their data in AWS on-premise for them is hugely important. Having the models to be, you know, open sources, makes them explainable and transparent to the adopters of those models. So, you know, we are really excited to work with the SageMaker team over the coming year to bring companies to that platform and make the most of our models. >> Aidan, what's your take on developers? Do they just need to have a team in place, if we want to interface with you guys? Let's say, can they start learning? What do they got to do to set up? >> Yeah, so I think for Cohere, our product makes it much, much easier to people, for people to get started and start building, it solves a lot of the productionization problems. But of course with SageMaker, like Tom was saying, I think that lowers a barrier even further because it solves problems like data privacy. So I want to underline what Bratin was saying earlier around when you're fine tuning or when you're using these models, you don't want your data being incorporated into someone else's model. You don't want it being used for training elsewhere. And so the ability to solve for enterprises, that data privacy and that security guarantee has been hugely important for Cohere, and that's very easy to do through SageMaker. >> Yeah. >> But the barriers for using this technology are coming down super quickly. And so for developers, it's just becoming completely intuitive. I love this, there's this quote from Andrej Karpathy. He was saying like, "It really wasn't on my 2022 list of things to happen that English would become, you know, the most popular programming language." And so the barrier is coming down- >> Yeah. >> Super quickly and it's exciting to see. >> It's going to be awesome for all the companies here, and then we'll do more, we're probably going to see explosion of startups, already seeing that, the maps, ecosystem maps, the landscape maps are happening. So this is happening and I'm convinced it's not yesterday's chat bot, it's not yesterday's AI Ops. It's a whole another ballgame. So I have to ask you guys for the final question before we kick off the company's showcasing here. How do you guys gauge success of generative AI applications? Is there a lens to look through and say, okay, how do I see success? It could be just getting a win or is it a bigger picture? Bratin we'll start with you. How do you gauge success for generative AI? >> You know, ultimately it's about bringing business value to our customers. And making sure that those customers are able to reimagine their experiences by using generative AI. Now the way to get their ease, of course to deploy those models in a safe, effective manner, and ensuring that all of the robustness and the security guarantees and the privacy guarantees are all there. And we want to make sure that this transitions from something that's great demos to actual at scale products, which means making them work reliably all of the time not just some of the time. >> Tom, what's your gauge for success? >> Look, I think this, we're seeing a completely new form of ways to interact with data, to make data intelligent, and directly to bring in new revenue streams into business. So if businesses can use our models to leverage that and generate completely new revenue streams and ultimately bring incredible new value to their customers, then that's fantastic. And we hope we can power that revolution. >> Aidan, what's your take? >> Yeah, reiterating Bratin and Tom's point, I think that value in the enterprise and value in market is like a huge, you know, it's the goal that we're striving towards. I also think that, you know, the value to consumers and actual users and the transformation of the surface area of technology to create experiences like ChatGPT that are magical and it's the first time in human history we've been able to talk to something compelling that's not a human. I think that in itself is just extraordinary and so exciting to see. >> It really brings up a whole another category of markets. B2B, B2C, it's B2D, business to developer. Because I think this is kind of the big trend the consumers have to win. The developers coding the apps, it's a whole another sea change. Reminds me everyone use the "Moneyball" movie as example during the big data wave. Then you know, the value of data. There's a scene in "Moneyball" at the end, where Billy Beane's getting the offer from the Red Sox, then the owner says to the Red Sox, "If every team's not rebuilding their teams based upon your model, there'll be dinosaurs." I think that's the same with AI here. Every company will have to need to think about their business model and how they operate with AI. So it'll be a great run. >> Completely Agree >> It'll be a great run. >> Yeah. >> Aidan, Tom, thank you so much for sharing about your experiences at your companies and congratulations on your success and it's just the beginning. And Bratin, thanks for coming on representing AWS. And thank you, appreciate for what you do. Thank you. >> Thank you, John. Thank you, Aidan. >> Thank you John. >> Thanks so much. >> Okay, let's kick off season three, episode one. I'm John Furrier, your host. Thanks for watching. (light airy music)
SUMMARY :
of the AWS Startup Showcase, of the behind the ropes, and something that, you know, and build out, you know, Aidan, let's get into what you guys do. and it's trained on, you know, it helps me, you know, the ability to use tools, to use APIs? I call that the people and you know, making sure the first group of adopters We got the language coming in. Tom, on your side, what do you see the- and you know, everything into the models. they want to get into what you guys see and you know, you pick for our customers. then you know, you again, All right, I love the example. and make the most of our models. And so the ability to And so the barrier is coming down- and it's exciting to see. So I have to ask you guys and ensuring that all of the robustness and directly to bring in new and it's the first time in human history the consumers have to win. and it's just the beginning. I'm John Furrier, your host.
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LaDavia Drane, AWS | International Women's Day
(bright music) >> Hello, everyone. Welcome to theCUBE special presentation of International Women's Day. I'm John Furrier, host of theCUBE. This is a global special open program we're doing every year. We're going to continue it every quarter. We're going to do more and more content, getting the voices out there and celebrating the diversity. And I'm excited to have an amazing guest here, LaDavia Drane, who's the head of Global Inclusion Diversity & Equity at AWS. LaDavia, we tried to get you in on AWS re:Invent, and you were super busy. So much going on. The industry has seen the light. They're seeing everything going on, and the numbers are up, but still not there, and getting better. This is your passion, our passion, a shared passion. Tell us about your situation, your career, how you got into it. What's your story? >> Yeah. Well, John, first of all, thank you so much for having me. I'm glad that we finally got this opportunity to speak. How did I get into this work? Wow, you know, I'm doing the work that I love to do, number one. It's always been my passion to be a voice for the voiceless, to create a seat at the table for folks that may not be welcome to certain tables. And so, it's been something that's been kind of the theme of my entire professional career. I started off as a lawyer, went to Capitol Hill, was able to do some work with members of Congress, both women members of Congress, but also, minority members of Congress in the US Congress. And then, that just morphed into what I think has become a career for me in inclusion, diversity, and equity. I decided to join Amazon because I could tell that it's a company that was ready to take it to the next level in this space. And sure enough, that's been my experience here. So now, I'm in it, I'm in it with two feet, doing great work. And yeah, yeah, it's almost a full circle moment for me. >> It's really an interesting background. You have a background in public policy. You mentioned Capitol Hill. That's awesome. DC kind of moves slow, but it's a complicated machinery there. Obviously, as you know, navigating that, Amazon grew significantly. We've been at every re:Invent with theCUBE since 2013, like just one year. I watched Amazon grow, and they've become very fast and also complicated, like, I won't say like Capitol, 'cause that's very slow, but Amazon's complicated. AWS is in the realm of powering a generation of public policy. We had the JEDI contract controversy, all kinds of new emerging challenges. This pivot to tech was great timing because one, (laughs) Amazon needed it because they were growing so fast in a male dominated world, but also, their business is having real impact on the public. >> That's right, that's right. And when you say the public, I'll just call it out. I think that there's a full spectrum of diversity and we work backwards from our customers, and our customers are diverse. And so, I really do believe, I agree that I came to the right place at the right time. And yeah, we move fast and we're also moving fast in this space of making sure that both internally and externally, we're doing the things that we need to do in order to reach a diverse population. >> You know, I've noticed how Amazon's changed from the culture, male dominated culture. Let's face it, it was. And now, I've seen over the past five years, specifically go back five, is kind of in my mental model, just the growth of female leaders, it's been impressive. And there was some controversy. They were criticized publicly for this. And we said a few things as well in those, like around 2014. How is Amazon ensuring and continuing to get the female employees feel represented and empowered? What's going on there? What programs do you have? Because it's not just doing it, it's continuing it, right? And 'cause there is a lot more to do. I mean, the half (laughs) the products are digital now for everybody. It's not just one population. (laughs) Everyone uses digital products. What is Amazon doing now to keep it going? >> Well, I'll tell you, John, it's important for me to note that while we've made great progress, there's still more that can be done. I am very happy to be able to report that we have big women leaders. We have leaders running huge parts of our business, which includes storage, customer experience, industries and business development. And yes, we have all types of programs. And I should say that, instead of calling it programs, I'm going to call it strategic initiatives, right? We are very thoughtful about how we engage our women. And not only how we hire, attract women, but how we retain our women. We do that through engagement, groups like our affinity groups. So Women at Amazon is an affinity group. Women in finance, women in engineering. Just recently, I helped our Black employee network women's group launch, BEN Women. And so you have these communities of women who come together, support and mentor one another. We have what we call Amazon Circles. And so these are safe spaces where women can come together and can have conversations, where we are able to connect mentors and sponsors. And we're seeing that it's making all the difference in the world for our women. And we see that through what we call Connections. We have an inclusion sentiment tracker. So we're able to ask questions every single day and we get a response from our employees and we can see how are our women feeling, how are they feeling included at work? Are they feeling as though they can be who they are authentically at Amazon? And so, again, there's more work that needs to be done. But I will say that as I look at the data, as I'm talking to engaging women, I really do believe that we're on the right path. >> LaDavia, talk about the urgent needs of the women that you're hearing from the Circles. That's a great program. The affinity circles, the groups are great. Now, you have the groups, what are you hearing? What are the needs of the women? >> So, John, I'll just go a little bit into what's becoming a conversation around equity. So, initially I think we talked a lot about equality, right? We wanted everyone to have fair access to the same things. But now, women are looking for equity. We're talking about not just leveling the playing field, which is equality, but don't give me the same as you give everyone else. Instead, recognize that I may have different circumstances, I may have different needs. And give me what I need, right? Give me what I need, not just the same as everyone else. And so, I love seeing women evolve in this way, and being very specific about what they need more than, or what's different than what a man may have in the same situation because their circumstances are not always the same and we should treat them as such. >> Yeah, I think that's a great equity point. I interviewed a woman here, ex-Amazonian, she's now a GSI, Global System Integrator. She's a single mom. And she said remote work brought her equity because people on her team realized that she was a single mom. And it wasn't the, how do you balance life, it was her reality. And what happened was, she had more empathy with the team because of the new work environment. So, I think this is an important point to call out, that equity, because that really makes things smoother in terms of the interactions, not the assumptions, you have to be, you know, always the same as a man. So, how does that go? What's the current... How would you characterize the progress in that area right now? >> I believe that employers are just getting better at this. It's just like you said, with the hybrid being the norm now, you have an employer who is looking at people differently based on what they need. And it's not a problem, it's not an issue that a single mother says, "Well, I need to be able to leave by 5:00 PM." I think that employers now, and Amazon is right there along with other employers, are starting just to evolve that muscle of meeting the needs. People don't have to feel different. You don't have to feel as though there's some kind of of special circumstance for me. Instead, it's something that we, as employers, we're asking for. And we want to meet those needs that are different in some situations. >> I know you guys do a lot of support of women outside of AWS, and I had a story I recorded for the program. This woman, she talked about how she was a nerd from day one. She's a tomboy. They called her a tomboy, but she always loved robotics. And she ended up getting dual engineering degrees. And she talked about how she didn't run away and there was many signals to her not to go. And she powered through, at that time, and during her generation, that was tough. And she was successful. How are you guys taking the education to STEM, to women, at young ages? Because we don't want to turn people away from tech if they have the natural affinity towards it. And not everyone is going to be, as, you know, (laughs) strong, if you will. And she was a bulldog, she was great. She's just like, "I'm going for it. I love it so much." But not everyone's like that. So, this is an educational thing. How do you expose technology, STEM for instance, and making it more accessible, no stigma, all that stuff? I mean, I think we've come a long way, but still. >> What I love about women is we don't just focus on ourselves. We do a very good job of thinking about the generation that's coming after us. And so, I think you will see that very clearly with our women Amazonians. I'll talk about three different examples of ways that Amazonian women in particular, and there are men that are helping out, but I'll talk about the women in particular that are leading in this area. On my team, in the Inclusion, Diversity & Equity team, we have a program that we run in Ghana where we meet basic STEM needs for a afterschool program. So we've taken this small program, and we've turned their summer camp into this immersion, where girls and boys, we do focus on the girls, can come and be completely immersed in STEM. And when we provide the technology that they need, so that they'll be able to have access to this whole new world of STEM. Another program which is run out of our AWS In Communities team, called AWS Girls' Tech Day. All across the world where we have data centers, we're running these Girls' Tech Day. They're basically designed to educate, empower and inspire girls to pursue a career in tech. Really, really exciting. I was at the Girls' Tech Day here recently in Columbus, Ohio, and I got to tell you, it was the highlight of my year. And then I'll talk a little bit about one more, it's called AWS GetIT, and it's been around for a while. So this is a program, again, it's a global program, it's actually across 13 countries. And it allows girls to explore cloud technology, in particular, and to use it to solve real world problems. Those are just three examples. There are many more. There are actually women Amazonians that create these opportunities off the side of their desk in they're local communities. We, in Inclusion, Diversity & Equity, we fund programs so that women can do this work, this STEM work in their own local communities. But those are just three examples of some of the things that our Amazonians are doing to bring girls along, to make sure that the next generation is set up and that the next generation knows that STEM is accessible for girls. >> I'm a huge believer. I think that's amazing. That's great inspiration. We need more of that. It's awesome. And why wouldn't we spread it around? I want to get to the equity piece, that's the theme for this year's IWD. But before that, getting that segment, I want to ask you about your title, and the choice of words and the sequence. Okay, Global Inclusion, Diversity, Equity. Not diversity only. Inclusion is first. We've had this debate on theCUBE many years now, a few years back, it started with, "Inclusion is before diversity," "No, diversity before inclusion, equity." And so there's always been a debate (laughs) around the choice of words and their order. What's your opinion? What's your reaction to that? Is it by design? And does inclusion come before diversity, or am I just reading it to it? >> Inclusion doesn't necessarily come before diversity. (John laughs) It doesn't necessarily come before equity. Equity isn't last, but we do lead with inclusion in AWS. And that is very important to us, right? And thank you for giving me the opportunity to talk a little bit about it. We lead with inclusion because we want to make sure that every single one of our builders know that they have a place in this work. And so it's important that we don't only focus on hiring, right? Diversity, even though there are many, many different levels and spectrums to diversity. Inclusion, if you start there, I believe that it's what it takes to make sure that you have a workplace where everyone knows you're included here, you belong here, we want you to stay here. And so, it helps as we go after diversity. And we want all types of people to be a part of our workforce, but we want you to stay. And inclusion is the thing. It's the thing that I believe makes sure that people stay because they feel included. So we lead with inclusion. Doesn't mean that we put diversity or equity second or third, but we are proud to lead with inclusion. >> Great description. That was fabulous. Totally agree. Double click, thumbs up. Now let's get into the theme. Embracing equity, 'cause this is a term, it's in quotes. What does that mean to you? You mentioned it earlier, I love it. What does embrace equity mean? >> Yeah. You know, I do believe that when people think about equity, especially non-women think about equity, it's kind of scary. It's, "Am I going to give away what I have right now to make space for someone else?" But that's not what equity means. And so I think that it's first important that we just educate ourselves about what equity really is. It doesn't mean that someone's going to take your spot, right? It doesn't mean that the pie, let's use that analogy, gets smaller. The pie gets bigger, right? >> John: Mm-hmm. >> And everyone is able to have their piece of the pie. And so, I do believe that I love that IWD, International Women's Day is leading with embracing equity because we're going to the heart of the matter when we go to equity, we're going to the place where most people feel most challenged, and challenging people to think about equity and what it means and how they can contribute to equity and thus, embrace equity. >> Yeah, I love it. And the advice that you have for tech professionals out there on this, how do you advise other groups? 'Cause you guys are doing a lot of great work. Other organizations are catching up. What would be your advice to folks who are working on this equity challenge to reach gender equity and other equitable strategic initiatives? And everyone's working on this. Sustainability and equity are two big projects we're seeing in every single company right now. >> Yeah, yeah. I will say that I believe that AWS has proven that equity and going after equity does work. Embracing equity does work. One example I would point to is our AWS Impact Accelerator program. I mean, we provide 30 million for early stage startups led by women, Black founders, Latino founders, LGBTQ+ founders, to help them scale their business. That's equity. That's giving them what they need. >> John: Yeah. >> What they need is they need access to capital. And so, what I'd say to companies who are looking at going into the space of equity, I would say embrace it. Embrace it. Look at examples of what companies like AWS is doing around it and embrace it because I do believe that the tech industry will be better when we're comfortable with embracing equity and creating strategic initiatives so that we could expand equity and make it something that's just, it's just normal. It's the normal course of business. It's what we do. It's what we expect of ourselves and our employees. >> LaDavia, you're amazing. Thank you for spending the time. My final couple questions really more around you. Capitol Hill, DC, Amazon Global Head of Inclusion, Diversity & Equity, as you look at making change, being a change agent, being a leader, is really kind of similar, right? You've got DC, it's hard to make change there, but if you do it, it works, right? (laughs) If you don't, you're on the side of the road. So, as you're in your job now, what are you most excited about? What's on your agenda? What's your focus? >> Yeah, so I'm most excited about the potential of what we can get done, not just for builders that are currently in our seats, but for builders in the future. I tend to focus on that little girl. I don't know her, I don't know where she lives. I don't know how old she is now, but she's somewhere in the world, and I want her to grow up and for there to be no question that she has access to AWS, that she can be an employee at AWS. And so, that's where I tend to center, I center on the future. I try to build now, for what's to come, to make sure that this place is accessible for that little girl. >> You know, I've always been saying for a long time, the software is eating the world, now you got digital transformation, business transformation. And that's not a male only, or certain category, it's everybody. And so, software that's being built, and the systems that are being built, have to have first principles. Andy Jassy is very strong on this. He's been publicly saying, when trying to get pinned down about certain books in the bookstore that might offend another group. And he's like, "Look, we have first principles. First principles is a big part of leading." What's your reaction to that? How would you talk to another professional and say, "Hey," you know this, "How do I make the right call? Am I doing the wrong thing here? And I might say the wrong thing here." And is it first principles based? What's the guardrails? How do you keep that in check? How would you advise someone as they go forward and lean in to drive some of the change that we're talking about today? >> Yeah, I think as leaders, we have to trust ourselves. And Andy actually, is a great example. When I came in as head of ID&E for AWS, he was our CEO here at AWS. And I saw how he authentically spoke from his heart about these issues. And it just aligned with who he is personally, his own personal principles. And I do believe that leaders should be free to do just that. Not to be scripted, but to lead with their principles. And so, I think Andy's actually a great example. I believe that I am the professional in this space at this company that I am today because of the example that Andy set. >> Yeah, you guys do a great job, LaDavia. What's next for you? >> What's next. >> World tour, you traveling around? What's on your plate these days? Share a little bit about what you're currently working on. >> Yeah, so you know, at Amazon, we're always diving deep. We're always diving deep, we're looking for root cause, working very hard to look around corners, and trying to build now for what's to come in the future. And so I'll continue to do that. Of course, we're always planning and working towards re:Invent, so hopefully, John, I'll see you at re:Invent this December. But we have some great things happening throughout the year, and we'll continue to... I think it's really important, as opposed to looking to do new things, to just continue to flex the same muscles and to show that we can be very, very focused and intentional about doing the same things over and over each year to just become better and better at this work in this space, and to show our employees that we're committed for the long haul. So of course, there'll be new things on the horizon, but what I can say, especially to Amazonians, is we're going to continue to stay focused, and continue to get at this issue, and doing this issue of inclusion, diversity and equity, and continue to do the things that work and make sure that our culture evolves at the same time. >> LaDavia, thank you so much. I'll give you the final word. Just share some of the big projects you guys are working on so people can know about them, your strategic initiatives. Take a minute to plug some of the major projects and things that are going on that people either know about or should know about, or need to know about. Take a minute to share some of the big things you guys got going on, or most of the things. >> So, one big thing that I would like to focus on, focus my time on, is what we call our Innovation Fund. This is actually how we scale our work and we meet the community's needs by providing micro grants to our employees so our employees can go out into the world and sponsor all types of different activities, create activities in their local communities, or throughout the regions. And so, that's probably one thing that I would like to focus on just because number one, it's our employees, it's how we scale this work, and it's how we meet our community's needs in a very global way. And so, thank you John, for the opportunity to talk a bit about what we're up to here at Amazon Web Services. But it's just important to me, that I end with our employees because for me, that's what's most important. And they're doing some awesome work through our Innovation Fund. >> Inclusion makes the workplace great. Empowerment, with that kind of program, is amazing. LaDavia Drane, thank you so much. Head of Global Inclusion and Diversity & Equity at AWS. This is International Women's Day. I'm John Furrier with theCUBE. Thanks for watching and stay with us for more great interviews and people and what they're working on. Thanks for watching. (bright music)
SUMMARY :
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Scott Walker, Wind River & Gautam Bhagra, Dell Technologies | MWC Barcelona 2023
(light music) >> Narrator: theCUBE's live coverage is made possible by funding from Dell Technologies. Creating technologies that drive human progress. (upbeat music) >> Welcome back to Spain everyone. Lisa Martin here with theCUBE Dave Vellante, my co-host for the next four days. We're live in Barcelona, covering MWC23. This is only day one, but I'll tell you the theme of this conference this year is velocity. And I don't know about you Dave, but this day is flying by already. This is ecosystem day. We're going to have a great discussion on the ecosystem next. >> Well we're seeing the disaggregation of the hardened telco stack, and that necessitates an ecosystem open- we're going to talk about Open RAN, we've been talking about even leading up to the show. It's a critical technology enabler and it's compulsory to have an ecosystem to support that. >> Absolutely compulsory. We've got two guests here joining us, Gautam Bhagra, Vice President partnerships at Dell, and Scott Walker, Vice President of global Telco ecosystem at Wind River. Guys, welcome to the program. >> Nice to be here. >> Thanks For having us. >> Thanks for having us. >> So you've got some news, this is day one of the conference, there's some news, Gautam, and let's start with you, unpack it. >> Yeah, well there's a lot of news, as you know, on Dell World. One of the things we are very excited to announce today is the launch of the Open Telecom Ecosystems Community. I think Dave, as you mentioned, getting into an Open RAN world is a challenge. And we know some of the challenges that our customers face. To help solve for those challenges, Dell wants to work with like-minded partners and customers to build innovative solutions, and join go-to-market. So we are launching that today. Wind River is one of our flagship partners for that, and I'm excited to be here to talk about that as well. >> Can you guys talk a little bit about the partnership, maybe a little bit about Wind River so the audience gets that context? >> Sure, absolutely, and the theme of the show, Velocity, is what this partnership is all about. We create velocity for operators if they want to adopt Open RAN, right? We simplify it. Wind River as a company has been around for 40 years. We were part of Intel at one point, and now we're independent, owned by a company called Aptiv. And with that we get another round of investment to help continue our acceleration into this market. So, the Dell partnership is about, like I said, velocity, accelerating the adoption. When we talk to operators, they have told us there are many roadblocks that they face, right? Like systems integration, operating at scale. 'Cause when you buy a traditional radio access network solution from a single supplier, it's very easy. It's works, it's been tested. When you break these components apart and disaggregate 'em, as we talked about David, it creates integration points and support issues, right? And what Dell and Wind River have done together is created a cloud infrastructure solution that could host a variety of RAN workloads, and essentially create a two layer cake. What we're, overall, what we're trying to do is create a traditional RAN experience, with the innovation agility and flexibility of Open RAN. And that's really what this partnership does. >> So these work, this workload innovation is interesting to me because you've got now developers, you know, the, you know, what's the telco developer look like, you know, is to be defined, right? I mean it's like this white sheet of paper that can create all this innovation. And to do that, you've got to have, as I said earlier, an ecosystem. But you've got now, I'm interested in your Open RAN agenda and how you see that sort of maturity model taking place. 'Cause today, you got disruptors that are going to lean right in say "Hey, yeah, that's great." The traditional carriers, they have to have a, you know, they have to migrate, they have to have a hybrid world. We know that takes time. So what's that look like in the marketplace today? >> Yeah, so I mean, I can start, right? So from a Dell's perspective, what we see in the market is yes, there is a drive towards, everyone understands the benefits of being open, right? There's the agility piece, the innovation piece. That's a no-brainer. The question is how do we get there? And I think that's where partnerships become critical to get there, right? So we've been working with partners like Wind River to build solutions that make it easier for customers to start adopting some of the foundational elements of an open network. The, one of the purposes in the agenda of building this community is to bring like-minded developers, like you said like we want those guys to come and work with the customers to create new solutions, and come up with something creative, which no one's even thought about, that accelerates your option even quicker, right? So that's exactly what we want to do as well. And that's one of the reasons why we launched the community. >> Yeah, and what we find with a lot of carriers, they are used to buying, like I said, traditional RAN solutions which are provided from a single provider like Erickson or Nokia and others, right? And we break this apart, and you cloudify that network infrastructure, there's usually a skills gap we see at the operator level, right? And so from a developer standpoint, they struggle with having the expertise in order to execute on that. Wind River helps them, working with companies like Dell, simplify that bottom portion of the stack, the infrastructure stack. So, and we lifecycle manage it, we test- we're continually testing it, and integrating it, so that the operator doesn't have to do that. In addition to that, wind River also has a history and legacy of working with different RAN vendors, both disruptors like Mavenir and Parallel Wireless, as well as traditional RAN providers like Samsung, Erickson, and others soon to be announced. So what we're doing on the northbound side is making it easy by integrating that, and on the southbound side with Dell, so that again, instead of four or five solutions that you need to put together, it's simply two. >> And you think about today how we- how you consume telco services are like there's these fixed blocks of services that you can buy, that has to change. It's more like the, the app stores. It's got to be an open marketplace, and that's where the innovation's going to come in, you know, from the developers, you know, top down maybe. I don't know, how do you see that maturity model evolving? People want to know how long it's going to take. So many questions, when will Open RAN be as reliable. Does it even have to be? You know, so many interesting dynamics going on. >> Yeah, and I think that's something we at Dell are also trying to find out, right? So we have been doing a lot of good work here to help our customers move in that direction. The work with Dish is an example of that. But I think we do understand the challenges as well in terms of getting, adopting the technologies, and adopting the innovation that's being driven by Open. So one of the agendas that we have as a company this year is to work with the community to drive this a lot further, right? We want to have customers adopt the technology more broadly with the tier one, tier two telcos globally. And our sales organizations are going to be working together with Wind Rivers to figure out who's the right set of customers to have these conversations with, so we can drop, drive, start driving this agenda a lot quicker than what we've seen historically. >> And where are you having those customer conversations? Is that at the operator level, is it higher, is it both? >> Well, all operators are deploying 5G in preparation for 6G, right? And we're all looking for those killer use cases which will drive top line revenue and not just make it a TCO discussion. And that starts at a very basic level today by doing things like integrating with Juniper, for their cloud router. So instead of at the far edge cell site, having a separate device that's doing the routing function, right? We take that and we cloudify that application, run it on the same server that's hosting the RAN applications, so you eliminate a device and reduce TCO. Now with Aptiv, which is primarily known as an automotive company, we're having lots of conversations, including with Dell and Intel and others about vehicle to vehicle communication, vehicle to anything communication. And although that's a little bit futuristic, there are shorter term use cases that, like, vehicle to vehicle accident avoidance, which are going to be much nearer term than autonomous driving, for example, which will help drive traffic and new revenue streams for operators. >> So, oh, that's, wow. So many other things (Scott laughs) that's just opened up there too. But I want to come back to, sort of, the Open RAN adoption. And I think you're right, there's a lot of questions that that still have to be determined. But my question is this, based on your knowledge so far does it have to be as hardened and reliable, obviously has to be low latency as existing networks, or can flexibility, like the cloud when it first came out, wasn't better than enterprise IT, it was just more flexible and faster, and you could rent it. And, is there a similar dynamic here where it doesn't have to replicate the hardened stack, it can bring in new benefits that drive adoption, what are your thoughts on that? >> Well there's a couple of things on that, because Wind River, as you know, where our legacy and history is in embedded devices like F-15 fighter jets, right? Or the Mars Rover or the James Web telescope, all run Wind River software. So, we know about can't fail ultra reliable systems, and operators are not letting us off the hook whatsoever. It has to be as hardened and locked down, as secure as a traditional RAN environment. Otherwise they will (indistinct). >> That's table stakes. >> That's table stakes that gets us there. And when River, with our legacy and history, and having operator experience running live commercial networks with a disaggregated stack in the tens of thousands of nodes, understand what this is like because they're running live commercial traffic with live customers. So we can't fail, right? And with that, they want their cake and eat it too, right? Which is, I want ultra reliable, I want what I have today, but I want the agility and flexibility to onboard third party apps. Like for example, this JCNR, this Juniper Cloud-Native Router. You cannot do something as simple as that on a traditional RAN Appliance. In an open ecosystem you can take that workload and onboard it because it is an open ecosystem, and that's really one of the true benefits. >> So they want the mainframe, but they want (Scott laughs) the flexibility of the developer cloud, right? >> That's right. >> They want their, have their cake eat it too and not gain weight. (group laughs) >> Yeah I mean David, I come from the public cloud world. >> We all don't want to do that. >> I used to work with a public cloud company, and nine years ago, public cloud was in the same stage, where you would go to a bank, and they would be like, we don't trust the cloud. It's not secure, it's not safe. It was the digital natives that adopted it, and that that drove the industry forward, right? And that's where the enterprises that realized that they're losing business because of all these innovative new companies that came out. That's what I saw over the last nine years in the cloud space. I think in the telco space also, something similar might happen, right? So a lot of this, I mean a lot of the new age telcos are understanding the value, are looking to innovate are adopting the open technologies, but there's still some inertia and hesitancy, for the reasons as Scott mentioned, to go there so quickly. So we just have to work through and balance between both sides. >> Yeah, well with that said, if there's still some inertia, but there's a theme of velocity, how do you help organizations balance that so they trust evolving? >> Yeah, and I think this is where our solution, like infrastructure block, is a foundational pillar to make that happen, right? So if we can take away the concerns that the organizations have in terms of security, reliability from the fundamental elements that build their infrastructure, by working with partners like Wind River, but Dell takes the ownership end-to-end to make sure that service works and we have those telco grade SLAs, then the telcos can start focusing on what's next. The applications and the customer services on the top. >> Customer service customer experience. >> You know, that's an interesting point Gautam brings up, too, because support is an issue too. We all talk about when you break these things apart, it creates integration points that you need to manage, right? But there's also, so the support aspect of it. So imagine if you will, you had one vendor, you have an outage, you call that one vendor, one necktie to choke, right, for accountability for the network. Now you have four or five vendors that you have to work. You get a lot of finger pointing. So at least at the infrastructure layer, right? Dell takes first call support for both the hardware infrastructure and the Wind River cloud infrastructure for both. And we are training and spinning them up to support, but we're always behind them of course as well. >> Can you give us a favorite customer example of- that really articulates the value of the partnership and the technologies that it's delivering to customers? >> Well, Infra Block- >> (indistinct) >> Is quite new, and we do have our first customer which is LG U plus, which was announced yesterday. Out of Korea, small customer, but a very important one. Okay, and I think they saw the value of the integrated system. They don't have the (indistinct) expertise and they're leveraging Dell and Wind River in order to make that happen. But I always also say historically before this new offering was Vodafone, right? Vodafone is a leader in Europe in terms of Open RAN, been very- Yago and Paco have been very vocal about what they're doing in Open RAN, and Dell and Wind River have been there with them every step of the way. And that's what I would say, kind of, led up to where we are today. We learned from engagements like Vodafone and I think KDDI as well. And it got us where we are today and understanding what the operators need and what the impediments are. And this directly addresses that. >> Those are two very different examples. You were talking about TCO before. I mean, so the earlier example is, that's an example to me of a disruptor. They'll take some chances, you know, maybe not as focused on TCO, of course they're concerned about it. Vodafone I would think very concerned about TCO. But I'm inferring from your comments that you're trying to get the industry, you're trying to check the TCO box, get there. And then move on to higher levels of value monetization. The TCO is going to come down to how many humans it takes to run the network, is it not, is that- >> Well a lot of, okay- >> Or is it devices- >> So the big one now, particularly with Vodafone, is energy cost, right? >> Of course, greening the network. >> Two-thirds of the energy consumption in RAN is the the Radio Access Network. Okay, the OPEX, right? So any reductions, even if they're 5% or 10%, can save tens or hundreds of millions of dollars. So we do things creatively with Dell to understand if there's a lot of traffic at the cell site and if it's not, we will change the C state or P state of the server, which basically spins it down, so it's not consuming power. But that's just at the infrastructure layer. Where this gets really powerful is working with the RAN vendors like Samsung and Ericson and others, and taking data from the traffic information there, applying algorithms to that in AI to shut it down and spin it back up as needed. 'Cause the idea is you don't want that thing powered up if there's no traffic on it. >> Well there's a sustainability, ESG, benefit to that, right? >> Yes. >> And, and it's very compute intensive. >> A hundred percent. >> Which is great for Dell. But at the same time, if you're not able to manage that power consumption, the whole thing fails. I mean it's, because there's going to be so much data, and such a intense requirement. So this is a huge issue. Okay, so Scott, you're saying that in the TCO equation, a big chunk is energy consumption? >> On the OPEX piece. Now there's also the CapEx, right? And Open RAN solutions are now, what we've heard from our customers today, are they're roughly at parity. 'Cause you can do things like repurpose servers after the useful life for a lower demand application which helps the TCO, right? Then you have situations like Juniper, where you can take, now software that runs on the same device, eliminating at a whole other device at the cell site. So we're not just taking a server and software point of view, we're taking a whole cell site point of view as it relates to both CapEx and OPEX. >> And then once that infrastructure it really gets adopted, that's when the innovation occurs. The ecosystem comes in. Developers now start to think of new applications that we haven't thought of yet. >> Gautam: Exactly. >> And that's where, that's going to force the traditional carriers to respond. They're responding, but they're doing so very carefully right now, it's understandable why. >> Yeah, and I think you're already seeing some news in the, I mean Nokia's announcement yesterday with the rebranding, et cetera. That's all positive momentum in my opinion, right? >> What'd you think of the logo? >> I love the logo. >> I liked it too. (group laughs) >> It was beautiful. >> I thought it was good. You had the connectivity down below, You need pipes, right? >> Exactly. >> But you had this sort of cool letters, and then the the pink horizon or pinkish, it was like (Scott laughs) endless opportunity. It was good, I thought it was well thought out. >> Exactly. >> Well, you pick up on an interesting point there, and what we're seeing, like advanced carriers like Dish, who has one of the true Open RAN networks, publishing APIs for programmers to build in their 5G network as part of the application. But we're also seeing the network equipment providers also enable carriers do that, 'cause carriers historically have not been advanced in that way. So there is a real recognition that in order for these networks to monetize new use cases, they need to be programmable, and they need to publish standard APIs, so you can access the 5G network capabilities through software. >> Yeah, and the problem from the carriers, there's not enough APIs that the carriers have produced yet. So that's where the ecosystem comes in, is going to >> A hundred percent >> I think there's eight APIs that are published out of the traditional carriers, which is, I mean there's got to be 8,000 for a marketplace. So that's where the open ecosystem really has the advantage. >> That's right. >> That's right. >> That's right. >> Yeah. >> So it all makes sense on paper, now you just, you got a lot of work to do. >> We got to deliver. Yeah, we launched it today. We got to get some like-minded partners and customers to come together. You'll start seeing results coming out of this hopefully soon, and we'll talk more about it over time. >> Dave: Great Awesome, thanks for sharing with us. >> Excellent. Guys, thank you for sharing, stopping by, sharing what's going on with Dell and Wind River, and why the opportunity's in it for customers and the technological evolution. We appreciate it, you'll have to come back, give us an update. >> Our pleasure, thanks for having us. (Group talks over each other) >> All right, thanks guys >> Appreciate it. >> For our guests and for Dave Vellante, I'm Lisa Martin. You're watching theCUBE, Live from MWC23 in Barcelona. theCUBE is the leader in live tech coverage. (upbeat music)
SUMMARY :
that drive human progress. the theme of this conference and it's compulsory to have and Scott Walker, Vice President and let's start with you, unpack it. One of the things we are very excited and the theme of the show, Velocity, they have to have a, you know, And that's one of the reasons the operator doesn't have to do that. from the developers, you and adopting the innovation So instead of at the far edge cell site, that that still have to be determined. Or the Mars Rover or and flexibility to and not gain weight. I come from the public cloud world. and that that drove the that the organizations and the Wind River cloud of the integrated system. I mean, so the earlier example is, and taking data from the But at the same time, if that runs on the same device, Developers now start to think the traditional carriers to respond. Yeah, and I think you're I liked it too. You had the connectivity down below, and then the the pink horizon or pinkish, and they need to publish Yeah, and the problem I mean there's got to be now you just, you got a lot of work to do. and customers to come together. thanks for sharing with us. for customers and the Our pleasure, thanks for having us. Live from MWC23 in Barcelona.
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SiliconANGLE News | AWS Responds to OpenAI with Hugging Face Expanded Partnership
(upbeat music) >> Hello everyone. Welcome to Silicon Angle news breaking story here. Amazon Web Services, expanding their relationship with Hugging Face, breaking news here on Silicon Angle. I'm John Furrier, Silicon Angle reporter, founder and also co-host of theCUBE. And I have with me Swami from Amazon Web Services, vice president of database analytics machine learning with AWS. Swami, great to have you on for this breaking news segment on AWS's big news. Thanks for coming on, taking the time. >> Hey John, pleasure to be here. >> We've had many conversations on theCUBE over the years. We've watched Amazon really move fast into the large data modeling. You SageMaker became a very smashing success. Obviously you've been on this for a while, now with Chat GPT, open AI, a lot of buzz going mainstream, takes it from behind the curtain, inside the ropes, if you will, in the industry to a mainstream. And so this is a big moment I think in the industry. I want to get your perspective because your news with Hugging Face, I think is a is another tell sign that we're about to tip over into a new accelerated growth around making AI now application aware application centric, more programmable, more API access. What's the big news about with AWS Hugging Face, you know, what's going on with this announcement? >> Yeah, first of all, they're very excited to announce our expanded collaboration with Hugging Face because with this partnership, our goal, as you all know, I mean Hugging Face I consider them like the GitHub for machine learning. And with this partnership, Hugging Face and AWS will be able to democratize AI for a broad range of developers, not just specific deep AI startups. And now with this we can accelerate the training, fine tuning, and deployment of these large language models and vision models from Hugging Face in the cloud. So, and the broader context, when you step back and see what customer problem we are trying to solve with this announcement, essentially if you see these foundational models are used to now create like a huge number of applications, suggest like tech summarization, question answering, or search image generation, creative, other things. And these are all stuff we are seeing in the likes of these Chat GPT style applications. But there is a broad range of enterprise use cases that we don't even talk about. And it's because these kind of transformative generative AI capabilities and models are not available to, I mean, millions of developers. And because either training these elements from scratch can be very expensive or time consuming and need deep expertise, or more importantly, they don't need these generic models. They need them to be fine tuned for the specific use cases. And one of the biggest complaints we hear is that these models, when they try to use it for real production use cases, they are incredibly expensive to train and incredibly expensive to run inference on, to use it at a production scale, so And unlike search, web search style applications where the margins can be really huge, here in production use cases and enterprises, you want efficiency at scale. That's where a Hugging Face and AWS share our mission. And by integrating with Trainium and Inferentia, we're able to handle the cost efficient training and inference at scale. I'll deep dive on it and by training teaming up on the SageMaker front now the time it takes to build these models and fine tune them as also coming down. So that's what makes this partnership very unique as well. So I'm very excited. >> I want to get into the, to the time savings and the cost savings as well on the on the training and inference. It's a huge issue. But before we get into that, just how long have you guys been working with Hugging Face? I know this is a previous relationship. This is an expansion of that relationship. Can you comment on the what's different about what's happened before and then now? >> Yeah, so Hugging Face, we have had an great relationship in the past few years as well where they have actually made their models available to run on AWS in a fashion, even inspect their Bloom project was something many of our customers even used. Bloom Project for context is their open source project, which builds a GPT three style model. And now with this expanded collaboration, now Hugging Face selected AWS for that next generation of this generative AI model, building on their highly successful Bloom project as well. And the nice thing is now by direct integration with Trainium and Inferentia, where you get cost savings in a really significant way. Now for instance, tier 1 can provide up to 50% cost to train savings, and Inferentia can deliver up to 60% better costs and Forex more higher throughput. Now these models, especially as they train that next generation generated AI model, it is going to be not only more accessible to all the developers who use it in open. So it'll be a lot cheaper as well. And that's what makes this moment really exciting because yeah, we can't democratize AI unless we make it broadly accessible and cost efficient, and easy to program and use as well. >> Okay, thanks Swami. We really appreciate. Swami's a Cube alumni, but also vice President, database analyst machine learning web services breaking down the Hugging Face announcement. Obviously the relationship he called it the GitHub of machine learning. This is the beginning of what we will see, a continuing competitive battle with Microsoft. Microsoft launching OpenAI. Amazon's been doing it for years. They got Alexa, they know what they're doing. It's going to be very interesting to see how this all plays out. You're watching Silicon Angle News, breaking here. I'm John Furrier, host of the Cube. Thanks for watching. (ethereal music)
SUMMARY :
And I have with me Swami into the large data modeling. the time it takes to build these models and the cost savings as well on the and easy to program and use as well. I'm John Furrier, host of the
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SiliconANGLE News | Swami Sivasubramanian Extended Version
(bright upbeat music) >> Hello, everyone. Welcome to SiliconANGLE News breaking story here. Amazon Web Services expanding their relationship with Hugging Face, breaking news here on SiliconANGLE. I'm John Furrier, SiliconANGLE reporter, founder, and also co-host of theCUBE. And I have with me, Swami, from Amazon Web Services, vice president of database, analytics, machine learning with AWS. Swami, great to have you on for this breaking news segment on AWS's big news. Thanks for coming on and taking the time. >> Hey, John, pleasure to be here. >> You know- >> Looking forward to it. >> We've had many conversations on theCUBE over the years, we've watched Amazon really move fast into the large data modeling, SageMaker became a very smashing success, obviously you've been on this for a while. Now with ChatGPT OpenAI, a lot of buzz going mainstream, takes it from behind the curtain inside the ropes, if you will, in the industry to a mainstream. And so this is a big moment, I think, in the industry, I want to get your perspective, because your news with Hugging Face, I think is another tell sign that we're about to tip over into a new accelerated growth around making AI now application aware, application centric, more programmable, more API access. What's the big news about, with AWS Hugging Face, you know, what's going on with this announcement? >> Yeah. First of all, they're very excited to announce our expanded collaboration with Hugging Face, because with this partnership, our goal, as you all know, I mean, Hugging Face, I consider them like the GitHub for machine learning. And with this partnership, Hugging Face and AWS, we'll be able to democratize AI for a broad range of developers, not just specific deep AI startups. And now with this, we can accelerate the training, fine tuning and deployment of these large language models, and vision models from Hugging Face in the cloud. And the broader context, when you step back and see what customer problem we are trying to solve with this announcement, essentially if you see these foundational models, are used to now create like a huge number of applications, suggest like tech summarization, question answering, or search image generation, creative, other things. And these are all stuff we are seeing in the likes of these ChatGPT style applications. But there is a broad range of enterprise use cases that we don't even talk about. And it's because these kind of transformative, generative AI capabilities and models are not available to, I mean, millions of developers. And because either training these elements from scratch can be very expensive or time consuming and need deep expertise, or more importantly, they don't need these generic models, they need them to be fine tuned for the specific use cases. And one of the biggest complaints we hear is that these models, when they try to use it for real production use cases, they are incredibly expensive to train and incredibly expensive to run inference on, to use it at a production scale. So, and unlike web search style applications, where the margins can be really huge, here in production use cases and enterprises, you want efficiency at scale. That's where Hugging Face and AWS share our mission. And by integrating with Trainium and Inferentia, we're able to handle the cost efficient training and inference at scale, I'll deep dive on it. And by teaming up on the SageMaker front, now the time it takes to build these models and fine tune them is also coming down. So that's what makes this partnership very unique as well. So I'm very excited. >> I want to get into the time savings and the cost savings as well on the training and inference, it's a huge issue, but before we get into that, just how long have you guys been working with Hugging Face? I know there's a previous relationship, this is an expansion of that relationship, can you comment on what's different about what's happened before and then now? >> Yeah. So, Hugging Face, we have had a great relationship in the past few years as well, where they have actually made their models available to run on AWS, you know, fashion. Even in fact, their Bloom Project was something many of our customers even used. Bloom Project, for context, is their open source project which builds a GPT-3 style model. And now with this expanded collaboration, now Hugging Face selected AWS for that next generation office generative AI model, building on their highly successful Bloom Project as well. And the nice thing is, now, by direct integration with Trainium and Inferentia, where you get cost savings in a really significant way, now, for instance, Trn1 can provide up to 50% cost to train savings, and Inferentia can deliver up to 60% better costs, and four x more higher throughput than (indistinct). Now, these models, especially as they train that next generation generative AI models, it is going to be, not only more accessible to all the developers, who use it in open, so it'll be a lot cheaper as well. And that's what makes this moment really exciting, because we can't democratize AI unless we make it broadly accessible and cost efficient and easy to program and use as well. >> Yeah. >> So very exciting. >> I'll get into the SageMaker and CodeWhisperer angle in a second, but you hit on some good points there. One, accessibility, which is, I call the democratization, which is getting this in the hands of developers, and/or AI to develop, we'll get into that in a second. So, access to coding and Git reasoning is a whole nother wave. But the three things I know you've been working on, I want to put in the buckets here and comment, one, I know you've, over the years, been working on saving time to train, that's a big point, you mentioned some of those stats, also cost, 'cause now cost is an equation on, you know, bundling whether you're uncoupling with hardware and software, that's a big issue. Where do I find the GPUs? Where's the horsepower cost? And then also sustainability. You've mentioned that in the past, is there a sustainability angle here? Can you talk about those three things, time, cost, and sustainability? >> Certainly. So if you look at it from the AWS perspective, we have been supporting customers doing machine learning for the past years. Just for broader context, Amazon has been doing ML the past two decades right from the early days of ML powered recommendation to actually also supporting all kinds of generative AI applications. If you look at even generative AI application within Amazon, Amazon search, when you go search for a product and so forth, we have a team called MFi within Amazon search that helps bring these large language models into creating highly accurate search results. And these are created with models, really large models with tens of billions of parameters, scales to thousands of training jobs every month and trained on large model of hardware. And this is an example of a really good large language foundation model application running at production scale, and also, of course, Alexa, which uses a large generator model as well. And they actually even had a research paper that showed that they are more, and do better in accuracy than other systems like GPT-3 and whatnot. So, and we also touched on things like CodeWhisperer, which uses generative AI to improve developer productivity, but in a responsible manner, because 40% of some of the studies show 40% of this generated code had serious security flaws in it. This is where we didn't just do generative AI, we combined with automated reasoning capabilities, which is a very, very useful technique to identify these issues and couple them so that it produces highly secure code as well. Now, all these learnings taught us few things, and which is what you put in these three buckets. And yeah, like more than 100,000 customers using ML and AI services, including leading startups in the generative AI space, like stability AI, AI21 Labs, or Hugging Face, or even Alexa, for that matter. They care about, I put them in three dimension, one is around cost, which we touched on with Trainium and Inferentia, where we actually, the Trainium, you provide to 50% better cost savings, but the other aspect is, Trainium is a lot more power efficient as well compared to traditional one. And Inferentia is also better in terms of throughput, when it comes to what it is capable of. Like it is able to deliver up to three x higher compute performance and four x higher throughput, compared to it's previous generation, and it is extremely cost efficient and power efficient as well. >> Well. >> Now, the second element that really is important is in a day, developers deeply value the time it takes to build these models, and they don't want to build models from scratch. And this is where SageMaker, which is, even going to Kaggle uses, this is what it is, number one, enterprise ML platform. What it did to traditional machine learning, where tens of thousands of customers use StageMaker today, including the ones I mentioned, is that what used to take like months to build these models have dropped down to now a matter of days, if not less. Now, a generative AI, the cost of building these models, if you look at the landscape, the model parameter size had jumped by more than thousand X in the past three years, thousand x. And that means the training is like a really big distributed systems problem. How do you actually scale these model training? How do you actually ensure that you utilize these efficiently? Because these machines are very expensive, let alone they consume a lot of power. So, this is where SageMaker capability to build, automatically train, tune, and deploy models really concern this, especially with this distributor training infrastructure, and those are some of the reasons why some of the leading generative AI startups are actually leveraging it, because they do not want a giant infrastructure team, which is constantly tuning and fine tuning, and keeping these clusters alive. >> It sounds like a lot like what startups are doing with the cloud early days, no data center, you move to the cloud. So, this is the trend we're seeing, right? You guys are making it easier for developers with Hugging Face, I get that. I love that GitHub for machine learning, large language models are complex and expensive to build, but not anymore, you got Trainium and Inferentia, developers can get faster time to value, but then you got the transformers data sets, token libraries, all that optimized for generator. This is a perfect storm for startups. Jon Turow, a former AWS person, who used to work, I think for you, is now a VC at Madrona Venture, he and I were talking about the generator AI landscape, it's exploding with startups. Every alpha entrepreneur out there is seeing this as the next frontier, that's the 20 mile stairs, next 10 years is going to be huge. What is the big thing that's happened? 'Cause some people were saying, the founder of Yquem said, "Oh, the start ups won't be real, because they don't all have AI experience." John Markoff, former New York Times writer told me that, AI, there's so much work done, this is going to explode, accelerate really fast, because it's almost like it's been waiting for this moment. What's your reaction? >> I actually think there is going to be an explosion of startups, not because they need to be AI startups, but now finally AI is really accessible or going to be accessible, so that they can create remarkable applications, either for enterprises or for disrupting actually how customer service is being done or how creative tools are being built. And I mean, this is going to change in many ways. When we think about generative AI, we always like to think of how it generates like school homework or arts or music or whatnot, but when you look at it on the practical side, generative AI is being actually used across various industries. I'll give an example of like Autodesk. Autodesk is a customer who runs an AWS and SageMaker. They already have an offering that enables generated design, where designers can generate many structural designs for products, whereby you give a specific set of constraints and they actually can generate a structure accordingly. And we see similar kind of trend across various industries, where it can be around creative media editing or various others. I have the strong sense that literally, in the next few years, just like now, conventional machine learning is embedded in every application, every mobile app that we see, it is pervasive, and we don't even think twice about it, same way, like almost all apps are built on cloud. Generative AI is going to be part of every startup, and they are going to create remarkable experiences without needing actually, these deep generative AI scientists. But you won't get that until you actually make these models accessible. And I also don't think one model is going to rule the world, then you want these developers to have access to broad range of models. Just like, go back to the early days of deep learning. Everybody thought it is going to be one framework that will rule the world, and it has been changing, from Caffe to TensorFlow to PyTorch to various other things. And I have a suspicion, we had to enable developers where they are, so. >> You know, Dave Vellante and I have been riffing on this concept called super cloud, and a lot of people have co-opted to be multicloud, but we really were getting at this whole next layer on top of say, AWS. You guys are the most comprehensive cloud, you guys are a super cloud, and even Adam and I are talking about ISVs evolving to ecosystem partners. I mean, your top customers have ecosystems building on top of it. This feels like a whole nother AWS. How are you guys leveraging the history of AWS, which by the way, had the same trajectory, startups came in, they didn't want to provision a data center, the heavy lifting, all the things that have made Amazon successful culturally. And day one thinking is, provide the heavy lifting, undifferentiated heavy lifting, and make it faster for developers to program code. AI's got the same thing. How are you guys taking this to the next level, because now, this is an opportunity for the competition to change the game and take it over? This is, I'm sure, a conversation, you guys have a lot of things going on in AWS that makes you unique. What's the internal and external positioning around how you take it to the next level? >> I mean, so I agree with you that generative AI has a very, very strong potential in terms of what it can enable in terms of next generation application. But this is where Amazon's experience and expertise in putting these foundation models to work internally really has helped us quite a bit. If you look at it, like amazon.com search is like a very, very important application in terms of what is the customer impact on number of customers who use that application openly, and the amount of dollar impact it does for an organization. And we have been doing it silently for a while now. And the same thing is true for like Alexa too, which actually not only uses it for natural language understanding other city, even national leverages is set for creating stories and various other examples. And now, our approach to it from AWS is we actually look at it as in terms of the same three tiers like we did in machine learning, because when you look at generative AI, we genuinely see three sets of customers. One is, like really deep technical expert practitioner startups. These are the startups that are creating the next generation models like the likes of stability AIs or Hugging Face with Bloom or AI21. And they generally want to build their own models, and they want the best price performance of their infrastructure for training and inference. That's where our investments in silicon and hardware and networking innovations, where Trainium and Inferentia really plays a big role. And we can nearly do that, and that is one. The second middle tier is where I do think developers don't want to spend time building their own models, let alone, they actually want the model to be useful to that data. They don't need their models to create like high school homeworks or various other things. What they generally want is, hey, I had this data from my enterprises that I want to fine tune and make it really work only for this, and make it work remarkable, can be for tech summarization, to generate a report, or it can be for better Q&A, and so forth. This is where we are. Our investments in the middle tier with SageMaker, and our partnership with Hugging Face and AI21 and co here are all going to very meaningful. And you'll see us investing, I mean, you already talked about CodeWhisperer, which is an open preview, but we are also partnering with a whole lot of top ISVs, and you'll see more on this front to enable the next wave of generated AI apps too, because this is an area where we do think lot of innovation is yet to be done. It's like day one for us in this space, and we want to enable that huge ecosystem to flourish. >> You know, one of the things Dave Vellante and I were talking about in our first podcast we just did on Friday, we're going to do weekly, is we highlighted the AI ChatGPT example as a horizontal use case, because everyone loves it, people are using it in all their different verticals, and horizontal scalable cloud plays perfectly into it. So I have to ask you, as you look at what AWS is going to bring to the table, a lot's changed over the past 13 years with AWS, a lot more services are available, how should someone rebuild or re-platform and refactor their application of business with AI, with AWS? What are some of the tools that you see and recommend? Is it Serverless, is it SageMaker, CodeWhisperer? What do you think's going to shine brightly within the AWS stack, if you will, or service list, that's going to be part of this? As you mentioned, CodeWhisperer and SageMaker, what else should people be looking at as they start tinkering and getting all these benefits, and scale up their ups? >> You know, if we were a startup, first, I would really work backwards from the customer problem I try to solve, and pick and choose, bar, I don't need to deal with the undifferentiated heavy lifting, so. And that's where the answer is going to change. If you look at it then, the answer is not going to be like a one size fits all, so you need a very strong, I mean, granted on the compute front, if you can actually completely accurate it, so unless, I will always recommend it, instead of running compute for running your ups, because it takes care of all the undifferentiated heavy lifting, but on the data, and that's where we provide a whole variety of databases, right from like relational data, or non-relational, or dynamo, and so forth. And of course, we also have a deep analytical stack, where data directly flows from our relational databases into data lakes and data virus. And you can get value along with partnership with various analytical providers. The area where I do think fundamentally things are changing on what people can do is like, with CodeWhisperer, I was literally trying to actually program a code on sending a message through Twilio, and I was going to pull up to read a documentation, and in my ID, I was actually saying like, let's try sending a message to Twilio, or let's actually update a Route 53 error code. All I had to do was type in just a comment, and it actually started generating the sub-routine. And it is going to be a huge time saver, if I were a developer. And the goal is for us not to actually do it just for AWS developers, and not to just generate the code, but make sure the code is actually highly secure and follows the best practices. So, it's not always about machine learning, it's augmenting with automated reasoning as well. And generative AI is going to be changing, and not just in how people write code, but also how it actually gets built and used as well. You'll see a lot more stuff coming on this front. >> Swami, thank you for your time. I know you're super busy. Thank you for sharing on the news and giving commentary. Again, I think this is a AWS moment and industry moment, heavy lifting, accelerated value, agility. AIOps is going to be probably redefined here. Thanks for sharing your commentary. And we'll see you next time, I'm looking forward to doing more follow up on this. It's going to be a big wave. Thanks. >> Okay. Thanks again, John, always a pleasure. >> Okay. This is SiliconANGLE's breaking news commentary. I'm John Furrier with SiliconANGLE News, as well as host of theCUBE. Swami, who's a leader in AWS, has been on theCUBE multiple times. We've been tracking the growth of how Amazon's journey has just been exploding past five years, in particular, past three. You heard the numbers, great performance, great reviews. This is a watershed moment, I think, for the industry, and it's going to be a lot of fun for the next 10 years. Thanks for watching. (bright music)
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Swami, great to have you on inside the ropes, if you And one of the biggest complaints we hear and easy to program and use as well. I call the democratization, the Trainium, you provide And that means the training What is the big thing that's happened? and they are going to create this to the next level, and the amount of dollar impact that's going to be part of this? And generative AI is going to be changing, AIOps is going to be John, always a pleasure. and it's going to be a lot
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Breaking Analysis: MWC 2023 highlights telco transformation & the future of business
>> From the Cube Studios in Palo Alto in Boston, bringing you data-driven insights from The Cube and ETR. This is "Breaking Analysis" with Dave Vellante. >> The world's leading telcos are trying to shed the stigma of being monopolies lacking innovation. Telcos have been great at operational efficiency and connectivity and living off of transmission, and the costs and expenses or revenue associated with that transmission. But in a world beyond telephone poles and basic wireless and mobile services, how will telcos modernize and become more agile and monetize new opportunities brought about by 5G and private wireless and a spate of new innovations and infrastructure, cloud data and apps? Hello, and welcome to this week's Wikibon CUBE Insights powered by ETR. In this breaking analysis and ahead of Mobile World Congress or now, MWC23, we explore the evolution of the telco business and how the industry is in many ways, mimicking transformations that took place decades ago in enterprise IT. We'll model some of the traditional enterprise vendors using ETR data and investigate how they're faring in the telecommunications sector, and we'll pose some of the key issues facing the industry this decade. First, let's take a look at what the GSMA has in store for MWC23. GSMA is the host of what used to be called Mobile World Congress. They've set the theme for this year's event as "Velocity" and they've rebranded MWC to reflect the fact that mobile technology is only one part of the story. MWC has become one of the world's premier events highlighting innovations not only in Telco, mobile and 5G, but the collision between cloud, infrastructure, apps, private networks, smart industries, machine intelligence, and AI, and more. MWC comprises an enormous ecosystem of service providers, technology companies, and firms from virtually every industry including sports and entertainment. And as well, GSMA, along with its venue partner at the Fira Barcelona, have placed a major emphasis on sustainability and public and private partnerships. Virtually every industry will be represented at the event because every industry is impacted by the trends and opportunities in this space. GSMA has said it expects 80,000 attendees at MWC this year, not quite back to 2019 levels, but trending in that direction. Of course, attendance from Chinese participants has historically been very high at the show, and obviously the continued travel issues from that region are affecting the overall attendance, but still very strong. And despite these concerns, Huawei, the giant Chinese technology company. has the largest physical presence of any exhibitor at the show. And finally, GSMA estimates that more than $300 million in economic benefit will result from the event which takes place at the end of February and early March. And The Cube will be back at MWC this year with a major presence thanks to our anchor sponsor, Dell Technologies and other supporters of our content program, including Enterprise Web, ArcaOS, VMware, Snowflake, Cisco, AWS, and others. And one of the areas we're interested in exploring is the evolution of the telco stack. It's a topic that's often talked about and one that we've observed taking place in the 1990s when the vertically integrated IBM mainframe monopoly gave way to a disintegrated and horizontal industry structure. And in many ways, the same thing is happening today in telecommunications, which is shown on the left-hand side of this diagram. Historically, telcos have relied on a hardened, integrated, and incredibly reliable, and secure set of hardware and software services that have been fully vetted and tested, and certified, and relied upon for decades. And at the top of that stack on the left are the crown jewels of the telco stack, the operational support systems and the business support systems. For the OSS, we're talking about things like network management, network operations, service delivery, quality of service, fulfillment assurance, and things like that. For the BSS systems, these refer to customer-facing elements of the stack, like revenue, order management, what products they sell, billing, and customer service. And what we're seeing is telcos have been really good at operational efficiency and making money off of transport and connectivity, but they've lacked the innovation in services and applications. They own the pipes and that works well, but others, be the over-the-top content companies, or private network providers and increasingly, cloud providers have been able to bypass the telcos, reach around them, if you will, and drive innovation. And so, the right-most diagram speaks to the need to disaggregate pieces of the stack. And while the similarities to the 1990s in enterprise IT are greater than the differences, there are things that are different. For example, the granularity of hardware infrastructure will not likely be as high where competition occurred back in the 90s at every layer of the value chain with very little infrastructure integration. That of course changed in the 2010s with converged infrastructure and hyper-converged and also software defined. So, that's one difference. And the advent of cloud, containers, microservices, and AI, none of that was really a major factor in the disintegration of legacy IT. And that probably means that disruptors can move even faster than did the likes of Intel and Microsoft, Oracle, Cisco, and the Seagates of the 1990s. As well, while many of the products and services will come from traditional enterprise IT names like Dell, HPE, Cisco, Red Hat, VMware, AWS, Microsoft, Google, et cetera, many of the names are going to be different and come from traditional network equipment providers. These are names like Ericsson and Huawei, and Nokia, and other names, like Wind River, and Rakuten, and Dish Networks. And there are enormous opportunities in data to help telecom companies and their competitors go beyond telemetry data into more advanced analytics and data monetization. There's also going to be an entirely new set of apps based on the workloads and use cases ranging from hospitals, sports arenas, race tracks, shipping ports, you name it. Virtually every vertical will participate in this transformation as the industry evolves its focus toward innovation, agility, and open ecosystems. Now remember, this is not a binary state. There are going to be greenfield companies disrupting the apple cart, but the incumbent telcos are going to have to continue to ensure newer systems work with their legacy infrastructure, in their OSS and BSS existing systems. And as we know, this is not going to be an overnight task. Integration is a difficult thing, transformations, migrations. So that's what makes this all so interesting because others can come in with Greenfield and potentially disrupt. There'll be interesting partnerships and ecosystems will form and coalitions will also form. Now, we mentioned that several traditional enterprise companies are or will be playing in this space. Now, ETR doesn't have a ton of data on specific telecom equipment and software providers, but it does have some interesting data that we cut for this breaking analysis. What we're showing here in this graphic is some of the names that we've followed over the years and how they're faring. Specifically, we did the cut within the telco sector. So the Y-axis here shows net score or spending velocity. And the horizontal axis, that shows the presence or pervasiveness in the data set. And that table insert in the upper left, that informs as to how the dots are plotted. You know, the two columns there, net score and the ends. And that red-dotted line, that horizontal line at 40%, that is an indicator of a highly elevated level. Anything above that, we consider quite outstanding. And what we'll do now is we'll comment on some of the cohorts and share with you how they're doing in telecommunications, and that sector, that vertical relative to their position overall in the data set. Let's start with the public cloud players. They're prominent in every industry. Telcos, telecommunications is no exception and it's quite an interesting cohort here. On the one hand, they can help telecommunication firms modernize and become more agile by eliminating the heavy lifting and you know, all the cloud, you know, value prop, data center costs, and the cloud benefits. At the same time, public cloud players are bringing their services to the edge, building out their own global networks and are a disruptive force to traditional telcos. All right, let's talk about Azure first. Their net score is basically identical to telco relative to its overall average. AWS's net score is higher in telco by just a few percentage points. Google Cloud platform is eight percentage points higher in telco with a 53% net score. So all three hyperscalers have an equal or stronger presence in telco than their average overall. Okay, let's look at the traditional enterprise hardware and software infrastructure cohort. Dell, Cisco, HPE, Red Hat, VMware, and Oracle. We've highlighted in this chart just as sort of indicators or proxies. Dell's net score's 10 percentage points higher in telco than its overall average. Interesting. Cisco's is a bit higher. HPE's is actually lower by about nine percentage points in the ETR survey, and VMware's is lower by about four percentage points. Now, Red Hat is really interesting. OpenStack, as we've previously reported is popular with telcos who want to build out their own private cloud. And the data shows that Red Hat OpenStack's net score is 15 percentage points higher in the telco sector than its overall average. OpenShift, on the other hand, has a net score that's four percentage points lower in telco than its overall average. So this to us talks to the pace of adoption of microservices and containers. You know, it's going to happen, but it's going to happen more slowly. Finally, Oracle's spending momentum is somewhat lower in the sector than its average, despite the firm having a decent telco business. IBM and Accenture, heavy services companies are both lower in this sector than their average. And real quickly, snowflake's net score is much lower by about 12 percentage points relative to its very high average net score of 62%. But we look for them to be a player in this space as telcos need to modernize their analytics stack and share data in a governed manner. Databricks' net score is also much lower than its average by about 13 points. And same, I would expect them to be a player as open architectures and cloud gains steam in telco. All right, let's close out now on what we're going to be talking about at MWC23 and some of the key issues that we'll be unpacking. We've talked about stack disaggregation in this breaking analysis, but the key here will be the pace at which it will reach the operational efficiency and reliability of closed stacks. Telcos, you know, in a large part, they're engineering heavy firms and much of their work takes place, kind of in the basement, in the dark. It's not really a big public hype machine, and they tend to move slowly and cautiously. While they understand the importance of agility, they're going to be careful because, you know, it's in their DNA. And so at the same time, if they don't move fast enough, they're going to get hurt and disrupted by competitors. So that's going to be a topic of conversation, and we'll be looking for proof points. And the other comment I'll make is around integration. Telcos because of their conservatism will benefit from better testing and those firms that can innovate on the testing front and have labs and certifications and innovate at that level, with an ecosystem are going to be in a better position. Because open sometimes means wild west. So the more players like Dell, HPE, Cisco, Red Hat, et cetera, that do that and align with their ecosystems and provide those resources, the faster adoption is going to go. So we'll be looking for, you know, who's actually doing that, Open RAN or Radio Access Networks. That fits in this discussion because O-RAN is an emerging network architecture. It essentially enables the use of open technologies from an ecosystem and over time, look at O-RAN is going to be open, but the questions, you know, a lot of questions remain as to when it will be able to deliver the operational efficiency of traditional RAN. Got some interesting dynamics going on. Rakuten is a company that's working hard on this problem, really focusing on operational efficiency. Then you got Dish Networks. They're also embracing O-RAN. They're coming at it more from service innovation. So that's something that we'll be monitoring and unpacking. We're going to look at cloud as a disruptor. On the one hand, cloud can help drive agility, as we said earlier and optionality, and innovation for incumbent telcos. But the flip side is going to also do the same for startups trying to disrupt and cloud attracts startups. While some of the telcos are actually embracing the cloud, many are being cautious. So that's going to be an interesting topic of discussion. And there's private wireless networks and 5G, and hyperlocal private networks, they're being deployed, you know, at the edge. This idea of open edge is also a really hot topic and this trend is going to accelerate. You know, the importance here is that the use cases are going to be widely varied. The needs of a hospital are going to be different than those of a sports venue are different from a remote drilling location, and energy or a concert venue. Things like real-time AI inference and data flows are going to bring new services and monetization opportunities. And many firms are going to be bypassing traditional telecommunications networks to build these out. Satellites as well, we're going to see, you know, in this decade, you're going to have, you're going to look down at Google Earth and you're going to see real-time. You know, today you see snapshots and so, lots of innovations going in that space. So how is this going to disrupt industries and traditional industry structures? Now, as always, we'll be looking at data angles, right? 'Cause it's in The Cube's DNA to follow the data and what opportunities and risks data brings. The Cube is going to be on location at MWC23 at the end of the month. We got a great set. We're in the walkway between halls four and five, right in Congress Square, it's booths CS60. So we'll have a full, they're called Stan CS60. We have a full schedule. I'm going to be there with Lisa Martin, Dave Nicholson and the entire Cube crew, so don't forget to stop by. All right, that's a wrap. I want to thank Alex Myerson, who's on production and manages the podcast, Ken Schiffman as well. Kristin Martin and Cheryl Knight help get the word out on social media and in our newsletters. And Rob Hof is our editor-in-chief over at Silicon Angle, does some great stuff for us. Thank you all. Remember, all these episodes are available as podcasts. Wherever you listen, just search "Breaking Analysis" podcasts I publish each week on wikibon.com and silicon angle.com. And all the video content is available on demand at thecube.net. You can email me directly at david.vellante@silicon angle.com. You can DM me at dvellante or comment on my LinkedIn post. Please do check out etr.ai for the best survey data in the enterprise tech business. This is Dave Vellante for The Cube Insights powered by ETR. Thanks for watching and we'll see you at Mobile World Congress, and/or at next time on "Breaking Analysis." (bright music) (bright music fades)
SUMMARY :
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Ramesh Prabagaran, Prosimo.io | Defining the Network Supercloud
(upbeat music) >> Hello, and welcome to Supercloud2. I'm John Furrier, host of theCUBE here. We're exploring all the new Supercloud trends around multiple clouds, hyper scale gaps in their systems, new innovations, new applications, new companies, new products, new brands emerging from this big inflection point. Got a great guest who's going to unpack it with me today, Ramesh Prabagaran, who's the co-founder and CEO of Prosimo, CUBE alumni. Ramesh, legend in the industry, you've been around. You've seen many cycles. Welcome to Supercloud2. >> Thank you. You're being too kind. >> Well, you know, you guys have been a technical, great technical founding team, multiple ventures, multiple times around the track as they say, but now we're seeing something completely different. This is our second event, kind of we're doing to start the the ball rolling around unpacking this idea of Supercloud which evolved from a riff with me and Dave to now a working group paper, multiple definitions. People are saying they're Supercloud. CloudFlare says this is their version. Someone says there over there. Fitzi over there in the blog is always, you know, challenging us on our definitions, but it's, the consensus is though something's happening. >> Ramesh: Absolutely. >> And what's your take on this kind of big inflection point? >> Absolutely, so if you just look at kind of this in layers right, so you have hyper scalers that are innovating really quickly on underlying capabilities, and then you have enterprises adopting these technologies, right, there is a layer in the middle that I would say is largely missing, right? And one that addresses the gaps introduced by these new capabilities, by the hyper scalers. At the same time, one that actually spans, let's say multiple regions, multiple clouds and so forth. So that to me is kind of the Supercloud layer of sorts. One that helps enterprises adopt the underlying hyper scaler capabilities a lot faster, and at the same time brings a certain level of consistency and homogeneity also. >> What do you think the big driver of Supercloud is? Is it the industry growing up or is it the demand for new kinds of capabilities or both? Or just evolution? What's your take? >> I would say largely it depends on kind of who the entity is that you're talking about, right? And so I would say both. So if you look at one cohort here, it's adoption, right? If I have a externally facing digital presence, for example, then I'm going to scale that up and get to as many subscribers and users no matter what, right? And at that time it's a different set of problems. If you're looking at kind of traditional enterprise inward that are bringing apps into the cloud and so forth, it's a different set of care abouts, right? So both are, I would say, equally important problems to solve for. >> Well, one reality that we're definitely tracking, and it's not really a debate anymore, is hybrid. >> Ramesh: Yep >> Hybrid happened. It happened faster than most people thought. But, you know, we were talking about this in 2015 when it first got kicked around, but now you see hybrid in the cloud, on premises and the edge. This kind of forms that distributed computing paradigm that we've always been predicting. And so if that continues to play out the way it is, you're now going to have a completely distributed, connected internet and sets of systems, intra and external within companies. So again, the world is connected 100%. Everything's changing, right? >> And that introduces. >> It wasn't your grandfather's networking anymore or storage. The game is still the same, but the play, the components are acting differently. What's your take on this? >> Absolutely. No, absolutely. That's a very key important point, and it's one that we always ask our customers right at the front end, right? Because your starting assumptions matter. If you have workloads of workloads in the cloud and data center is something that you want to connect into, then you'll make decisions kind of keeping cloud in the center and then kind of bolt on technologies for what that means to extend it to the data center. If your center of gravity is in the data center, and then cloud is let's say 10% right now, but you see that growing, then what choices do you have? Right, do you want to bring your data center technologies into the cloud because you want that consistency in operations? Or do you want to start off fresh, right? So this is a really key, important question, and one that many of our customers are actually are grappling with, right? They have this notion that going cloud native is the right approach, but at the same time that means I have a bifurcation in kind of how do I operate my data center versus my cloud, right? Two different operating models, and slowly it'll shift over to one. But you're going to have to deal with dual reality for a while. >> I was talking to an old friend of mine, CIO, very experienced CIO. Big time company, large deployment, a lot of IT. I said, so what's the big trend everyone's telling me about IT's going. He goes no, not really. IT's not going away for me. It's going everywhere in the company. >> Ramesh: Exactly. >> So I need to scale my IT-like capabilities everywhere and then make it invisible. >> Ramesh: Correct. >> Which is essentially code words for saying it's going to be completely cloud native everywhere. This is what is happening. Do you agree? >> Absolutely right, and so if you look at what do enterprises care about it? The reason to go to the cloud is to get speed of operations, and it's apps, apps, apps, right? Do you ever have a conversation on networking and infrastructure first? No, that kind of gets brought into the conversation because you want to deal with users, applications and services, right? And so the end goal is essentially how do users communicate with apps and get the right experience, security and whatnot, and how do apps talk to each other and make sure that you get all of the connectivity and security requirements? Underneath the covers, what does this mean for infrastructure, networking, security and whatnot? It's actually going to be someone else's job, right? And you shouldn't have to think too much about it. So this whole notion of kind of making that transparent is real actually, right? But at the same time, us and all the guys that we talk to on the customer side, that's their job, right? Like we have to work towards making that transparent. Some are going to be in the form of capability, some are going to be driven by data, but that's really where the two worlds are going to come together. >> Lots of debates going on. We just heard from Bob Muglia here on Supercloud2. He said Supercloud's a platform that provides programmatically consistent services hosted on heterogeneous cloud providers. So the question that's being debated is is Supercloud a platform or an architecture in your view? >> Okay, that's a tough one actually. I'm going to side on the side on kind of the platform side right, and the reason for that is architectural choices are things that you make ahead of time. And you, once you're in, there really isn't a fork in the road, right? Platforms continue to evolve. You can iterate, innovate and so on and so forth. And so I'm thinking Supercloud is more of a platform because you do have a choice. Hey, am I going AWS, Azure, GCP. You make that choice. What is my center of gravity? You make that choice. That's kind of an architectural decision, right? Once you make that, then how do I make things work consistently across like two or three clouds? That's a platform choice. >> So who's responsible for the architecture as the platform, the vendor serving the platform or is the platform vendor agnostic? >> You know, this is where you have to kind of peel the onion in layers, right? If you talk about applications, you can't go to a developer team or an app team and say I want you to operate on Google or AWS. They're like I'll pick the cloud that I want, right? Now who are we talking to? The infrastructure guys and the networking guys, right? They want to make sure that it's not bifurcated. It's like, hey, I want to make sure whatever I build for AWS I can equally use that on Azure. I can equally use that on GCP. So if you're talking to more of the application centric teams who really want infrastructure to be transparent, they'll say, okay, I want to make this choice of whether this is AWS, Azure, GCP, and stick to that. And if you come kind of down the layers of the stack into infrastructure, they are thinking a little more holistically, a little more Supercloud, a little more multicloud, and that. >> That's a good point. So that brings up the deployment question. >> Ramesh: Exactly! >> I want to ask you the next question, okay, what is the preferred deployment in your opinion for a Supercloud narrative? Is it single instance, spread it around everywhere? What's the, do you have a single global instance or do you have everything synchronized? >> So I would say first layer of that Supercloud really kind of fix the holes that have been introduced as a result of kind of adopting the hyper scaler technologies, right? So each, the hyper scalers have been really good at innovating and providing really massive scale elastic capabilities, right? But once you start to build capabilities on top of that to help serve the application, there's a few holes start to show up. So first job of Supercloud really is to plug those holes, right? Second is can I get to an operating model, so that I can replicate this not just in a single region, but across multiple regions, same cloud, and then across multiple clouds, right? And so both of those need to be solved for in order to be (cross talking). >> So is that multiple instantiations of the stack or? >> Yeah, so this again depends on kind of the capability, right? So if you take a more solution view, and so I can speak for kind of networking security combined right? There you always take a solution view. You don't ever look at, you know, what does this mean for a single instance in a single region. You take a macro view, and then you then break it down into what does this mean for region, what does it mean for instance, what does this mean for AZs? And so on and so forth. So you kind of have to go top to bottom. >> Okay, welcome you down into the trap now. Okay, synchronizing the data, latency, these are all questions. So what does the network Supercloud look like to you? Because networking is big here. >> Ramesh: Yes, absolutely. >> This is what you guys do. >> Exactly, yeah. So the different set of problems as you go up the stack, right? So if you have hundreds of workloads in a single region, the set of problems you're dealing with there are kind of app native connectivity, how do I go from kind of east/west, all of those fun things, right? Which are usually bound in terms of latency. You don't have those challenges as much, but can you build your entire enterprise application architecture in one region? No, you're going to have to create multiple instances, right? So my data lake is invariably going to be in one place. My business logic is going to be spread across a few places. What does that bring in? I need to go across regions. Am I going to put those two regions right next to each other? No, I'm not going to, right? I'm going to have places in Europe. I'm going to have APAC, and I'm going to have a North American presence, and I need to bring all these things together. So this is where, back to your point, latency really matters, right? Because I need to be able to find out not just best path but also how do I reduce the millisecond, microseconds that my application cares about, which brings in a layer of optimization and then so on and so on and so forth. So this is what we call kind of to borrow the Prosimo language full stack networking, right? Because I'm not just dealing with how do I go from one region to another because that's laws of physics. I can only control so much. But there are a few elements up the application stack in software that you can tweak to actually bring these things closer and closer. >> And on that point, you're seeing security being talked a lot more at the network layer. So how do you secure the Supercloud at the network layer? What's that look like? >> Yeah, we've been grappling with essentially is security kind of foundational, and then is the network on top. And then we had an alternative viewpoint which is kind of network and then security on top. And the answer is actually it's neither, right? It's almost like a meshed up sandwich of sorts. So you need to have networking security work really well together, right? Case in point, I mean we were talking to a customer yesterday. He said, hey, I have my data lake in one region that needs to talk to an analytics service in a completely different region of a different cloud. These two things just need to be able to talk to each other, which means I need to bring elements of networking. I need to bring elements of security, secure access, app segmentation, all of those things. Very simple, I have an analytics service that needs to contact a data lake. That's what he starts with, but then before you know it, it actually brings up a whole stack underneath, so that's. >> VMware calls that cloud chaos. >> Ramesh: Yes, exactly. >> And then that's the halfway point between cloud smart. Cloud first, cloud chaos, cloud smart, and the next thing, you can skip that whole step. But again, again, it's pick your strategy right? Again, this comes back down to your earlier point. I want to ask you from a customer standpoint, you got the hyper scalers doing very, very well. >> Ramesh: Yep, absolutely. >> And I love what their Amazon's doing. I think Microsoft again though they had a little bit of downgrade are catching up fast, and they have their installed base. So you got the land of the installed bases. >> Correct. >> First and greater, better cloud. Install base getting better, almost as good, almost as good is a gift, but close. Now you have them specializing. Silicon, special silicon. So there's gaps for other services. >> Ramesh: Correct. >> And Amazon Web Services, Adam Selipsky's a open book saying, hey, we want our ecosystem to pick up these gaps and build on them. Go ahead, go to town. >> So this is where I think choices are tough, right? Because if you had one choice, you would work with it, and you would work around it, right? Now I have five different choices. Now what do I do? Our viewpoint is there are a bunch of things that say AWS does really, really well. Use that as a foundational layer, right? Like don't reinvent the wheel on those things. Transit gateways, global accelerators and whatnot, they exist for a reason. Billions of dollars have gone into building those things. Use that foundational layer, right? But what you want to build on top of that is actually driven by the application. The requirements of a lambda application that's serverless, it's very different than a packaged application that's responding for transactions, right? Like it's just completely very, very different. And so bring in the right set of capabilities required for those set of applications, and then you go based on that. This is also where I think whether something is a regional construct versus an overall global construct really, really matters, right? Because if you start with the assumption that everything is going to be built regionally, then it's someone else's job to make sure that all of these things are connected. But if you start with kind of the global purview, then the rest of them start to (cross talking). >> What are some of the things that the enterprises might want that are gaps that are going to be filled by the, by startups like you guys and the ecosystem because we're seeing the ecosystem form into two big camps. >> Ramesh: Yep. >> ISVs, which is an old school definition of independent software vendor, aka someone who writes software. >> Ramesh: Exactly. >> SaaS app. >> Ramesh: Correct. >> And then ecosystem software players that were once ISVs now have people building on top of them. >> Ramesh: Correct. >> They're building on top of the cloud. So you have that new hyper scale effect going on. >> Ramesh: Exactly. >> You got ISVs, which is software developers, software vendors. >> Ramesh: Correct. >> And ecosystems. >> Yep. >> What's that impact of that? Cause it's a new dynamic. >> Exactly, so if you take kind of enterprises, want to make sure that that their apps and the data center migrate to the cloud, new apps are developed the right way in the cloud, right? So that's kind of table stakes. So now what choices do they have? They listen to AWS and say, okay, I have all these cloud native services. I want to be able to instantiate all that. Now comes the interesting choice that they have to make. Do I go hire a whole bunch of people and do it myself or do I go there on the platform route, right? Because I made an architectural choice. Now I have to decide whether I want to do this myself or the platform choice. DIY works great for some, but you don't know what you're getting into, and it's people involved, right? People, process, all those fun things involved, right? So we show up there and say, you don't know what you don't know, right? Like because that's the nature of it. Why don't you invest in a platform like what what we provide, and then you actually build on top of it. We will, it's our job to make sure that we keep up with the innovation happening underneath the covers. And at the same time, this is not a closed ended system. You can actually build on top of our platform, right? And so that actually gives you a good mix. Now the care abouts are interesting. Some apps care about experience. Some apps care about latency. Some apps are extremely charty and extremely data intensive, but nobody wants to pay for it, right? And so it's a interesting Jenga that you have to play between experience versus security versus cost, right? And that makes kind of head of infrastructure and cloud platform teams' life really, really, really interesting. >> And this is why I love your background, and Stu Miniman, when he was with theCUBE, and now he's at Red Hat, we used to riff about the network and how network folks are now, those concepts are now up the top of the stack because the cloud is one big network effect. >> Ramesh: Exactly, correct. >> It's a computer. >> Yep, absolutely. No, and case in point, right, like say we're in let's say in San Jose here or or Palo Alto here, and let's say my application is sitting in London, right? The cloud gives you different express lanes. I can go down to my closest pop location provided by AWS and then I can go ride that all the way up to up to London. It's going to give me better performance, low latency, but I'm going to have to incur some costs associated with it. Or I can go all the wild internet all the way from Palo Alta up to kind of the ingress point into London and then go access, but I'm spending time on the wild internet, which means all kinds of fun things happen, right? But I'm not paying much, but my experience is not going to be so great. So, and there are various degrees of shade in them, of gray in the middle, right? So how do you pick what? It all kind of is driven by the applications. >> Well, we certainly want you back for Supercloud3, our next version of this virtual/live event here in our Palo Alto studios. Really appreciate you coming on. >> Absolutely. >> While you're here, give a quick plug for the company. Next minute, we can take a minute to talk about the success of the company. >> Ramesh: Absolutely. >> I know you got a fresh financing this past year. Plenty of money in the bank, going to ride this new wave, Supercloud wave. Give us a quick plug. >> Absolutely, yeah. So three years going on to four this calendar year. So it's an interesting time for the company. We have proven that our technology, product and our initial customers are quite happy with it. Now comes essentially more of those and scale and so forth. That's kind of the interesting phase that we are in. Also heartened to see quite a few of kind of really large and dominant players in the market, partners, channels and so forth, invest in us to take this to the next set of customers. I would say there's been a dramatic shift in the conversation with our customers. The first couple of years or so of the company, we are about three years old right now, was really about us educating them. This is what you need. This is what you need. Now actually it's a lot of just pull, right? We've seen a good indication, as much as a hate RFIs, a good indication is the number of RFIs that show up at our door saying we want you to participate in this because we want to understand more, right? And so as a, I think we are at an interesting point of the, of that shift. >> RFIs always like do all this work and hope for the best. Pray for a deal. You know, you guys on the right side of history. If a customer asks with respect to Supercloud, multicloud, is that your focus? Is that the direction you guys are going into? >> Yeah, so I would say we are kind of both, right? Supercloud and multicloud because we, our customers are hybrid, multiple clouds, all of the above, right? Our main pitch and kind of value back to the customers is go embrace cloud native because that's the right approach, right? It doesn't make sense to go reinvent the wheel on that one, but then make a really good choice about whether you want to do this yourself or invest in a platform to make your life easy. Because we have seen this story play out with many many enterprises, right? They pick the right technologies. They do a simple POC overnight, and they say, yeah, I can make this work for two apps, right? And then they say, yes, I can make this work for 100. You go down a certain path. You hit a wall. You hit a wall, and it's a hard wall. It's like, no, there isn't a thing that you can go around it. >> A lot of dead bodies laying around. >> Ramesh: Exactly. >> Dead wall. >> And then they have to unravel around that, and then they come talk to us, and they say, okay, now what? Like help me, help me through this journey. So I would say to the extent that you can do this diligence ahead of time, do that, and then, and then pick the right platform. >> You've got to have the talent. And you got to be geared up. You got to know what you're getting into. >> Ramesh: Exactly. >> You got to have the staff to do this. >> And cloud talent and skillset in particular, I mean there's lots available but it's in pockets right? And if you look at kind of web three companies, they've gone and kind of amassed all those guys, right? So enterprises are not left with the cream of the crop. >> John: They might be coming back. >> Exactly, exactly, so. >> With this downturn. Ramesh, great to see you and thanks for contributing to Supercloud2, and again, love your team. Very technical team, and you're in the right side of history in this one. Congratulations. >> Ramesh: No, and thank you, thank you very much. >> Okay, this is Supercloud2. I'm John Furrier with Dave Vellante. We'll be back right after this short break. (upbeat music)
SUMMARY :
Ramesh, legend in the You're being too kind. blog is always, you know, And one that addresses the gaps and get to as many subscribers and users and it's not really a This kind of forms that The game is still the same, but the play, and it's one that we It's going everywhere in the company. So I need to scale my it's going to be completely and make sure that you get So the question that's being debated is on kind of the platform side kind of peel the onion in layers, right? So that brings up the deployment question. And so both of those need to be solved for So you kind of have to go top to bottom. down into the trap now. in software that you can tweak So how do you secure the that needs to talk to an analytics service and the next thing, you So you got the land of Now you have them specializing. ecosystem to pick up these gaps and then you go based on that. and the ecosystem of independent software vendor, that were once ISVs now have So you have that new hyper is software developers, What's that impact of that? and the data center migrate to the cloud, because the cloud is of gray in the middle, right? you back for Supercloud3, quick plug for the company. Plenty of money in the bank, That's kind of the interesting Is that the direction all of the above, right? and then they come talk to us, And you got to be geared up. And if you look at kind Ramesh, great to see you Ramesh: No, and thank Okay, this is Supercloud2.
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