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,
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Chris | PERSON | 0.99+ |
Lisa Martin | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Chris Grusz | PERSON | 0.99+ |
Frank | PERSON | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
Chris Degnan | PERSON | 0.99+ |
Chris D | PERSON | 0.99+ |
Western Union | ORGANIZATION | 0.99+ |
Snowflake | TITLE | 0.99+ |
Amazon.com | ORGANIZATION | 0.99+ |
Chris G | PERSON | 0.99+ |
Las Vegas | LOCATION | 0.99+ |
yesterday | DATE | 0.99+ |
Lisa | PERSON | 0.99+ |
seven years | QUANTITY | 0.99+ |
both | QUANTITY | 0.99+ |
Snowflake | ORGANIZATION | 0.99+ |
Chipotle | ORGANIZATION | 0.99+ |
Grusz | PERSON | 0.99+ |
three years | QUANTITY | 0.99+ |
S3 | TITLE | 0.99+ |
Chris G | PERSON | 0.99+ |
third part | QUANTITY | 0.99+ |
today | DATE | 0.99+ |
both sides | QUANTITY | 0.99+ |
Ecosystem | ORGANIZATION | 0.99+ |
QuickSite | TITLE | 0.99+ |
both companies | QUANTITY | 0.99+ |
two | QUANTITY | 0.98+ |
both organizations | QUANTITY | 0.98+ |
pandemic | EVENT | 0.98+ |
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.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Dave Vellante | PERSON | 0.99+ |
Vincent | PERSON | 0.99+ |
Teresa | PERSON | 0.99+ |
Teresa Carlson | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
Singapore | LOCATION | 0.99+ |
Asia | LOCATION | 0.99+ |
Japan | LOCATION | 0.99+ |
NOVA | ORGANIZATION | 0.99+ |
John Furrier | PERSON | 0.99+ |
John | PERSON | 0.99+ |
Vincent Quah | PERSON | 0.99+ |
Canberra | LOCATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Philippines | LOCATION | 0.99+ |
Two days | QUANTITY | 0.99+ |
Stu Miniman | PERSON | 0.99+ |
45 | QUANTITY | 0.99+ |
Seattle | LOCATION | 0.99+ |
US | LOCATION | 0.99+ |
2016 | DATE | 0.99+ |
Washington, D.C. | LOCATION | 0.99+ |
Washington, DC | LOCATION | 0.99+ |
four-day | QUANTITY | 0.99+ |
14 years | QUANTITY | 0.99+ |
Villanova | ORGANIZATION | 0.99+ |
yesterday | DATE | 0.99+ |
United States | LOCATION | 0.99+ |
third day | QUANTITY | 0.99+ |
Northern Virginia Community College | ORGANIZATION | 0.99+ |
Stu | PERSON | 0.99+ |
fourth day | QUANTITY | 0.99+ |
Pacific | LOCATION | 0.99+ |
first | QUANTITY | 0.99+ |
August | DATE | 0.99+ |
China | LOCATION | 0.99+ |
74 years | QUANTITY | 0.99+ |
September | DATE | 0.99+ |
One | QUANTITY | 0.99+ |
OVA | ORGANIZATION | 0.99+ |
two courses | QUANTITY | 0.99+ |
more than 20 companies | QUANTITY | 0.99+ |
two examples | QUANTITY | 0.99+ |
Samsung | ORGANIZATION | 0.98+ |
McDonald's | ORGANIZATION | 0.98+ |
Public Sector Summit | EVENT | 0.98+ |
125-plus technologies | QUANTITY | 0.98+ |
today | DATE | 0.97+ |
both | QUANTITY | 0.97+ |
theCUBE | ORGANIZATION | 0.97+ |
Airbnb | ORGANIZATION | 0.97+ |
AWS Educate | ORGANIZATION | 0.96+ |
one | QUANTITY | 0.96+ |
APAC | ORGANIZATION | 0.96+ |
two key technological drivers | QUANTITY | 0.95+ |
AWS Public Sector Summit | EVENT | 0.94+ |
more than hundreds of students | QUANTITY | 0.93+ |
Invent | TITLE | 0.93+ |
two other examples | QUANTITY | 0.93+ |
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.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Teresa | PERSON | 0.99+ |
Peter Burris | PERSON | 0.99+ |
Eric Herzog | PERSON | 0.99+ |
Cisco | ORGANIZATION | 0.99+ |
Dave Vellante | PERSON | 0.99+ |
California | LOCATION | 0.99+ |
USDOT | ORGANIZATION | 0.99+ |
Dave | PERSON | 0.99+ |
John | PERSON | 0.99+ |
six | QUANTITY | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Securitas | ORGANIZATION | 0.99+ |
Jeff Frick | PERSON | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
Ed Walsh | PERSON | 0.99+ |
Peter | PERSON | 0.99+ |
Teresa Carlson | PERSON | 0.99+ |
Kim Majerus | PERSON | 0.99+ |
Joe Tucci | PERSON | 0.99+ |
Chicago | LOCATION | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
seven weeks | QUANTITY | 0.99+ |
Eric | PERSON | 0.99+ |
Monday | DATE | 0.99+ |
Washington | LOCATION | 0.99+ |
two | QUANTITY | 0.99+ |
$1.8 million | QUANTITY | 0.99+ |
John Furrier | PERSON | 0.99+ |
50% | QUANTITY | 0.99+ |
May | DATE | 0.99+ |
2010 | DATE | 0.99+ |
Hardik Bhatt | PERSON | 0.99+ |
ORGANIZATION | 0.99+ | |
Federal Highway Administration | ORGANIZATION | 0.99+ |
300% | QUANTITY | 0.99+ |
two things | QUANTITY | 0.99+ |
Stu Miniman | PERSON | 0.99+ |
27 products | QUANTITY | 0.99+ |
85% | QUANTITY | 0.99+ |
five years | QUANTITY | 0.99+ |
$60 million | QUANTITY | 0.99+ |
six months | QUANTITY | 0.99+ |
Allied Universal | ORGANIZATION | 0.99+ |
three people | QUANTITY | 0.99+ |
49 days | QUANTITY | 0.99+ |
Michael Dell | PERSON | 0.99+ |
Washington DC | LOCATION | 0.99+ |
Sam Warner | PERSON | 0.99+ |
University of California Health Center | ORGANIZATION | 0.99+ |
United States | LOCATION | 0.99+ |
New Orleans | LOCATION | 0.99+ |
Uturn Data Solutions | ORGANIZATION | 0.99+ |
120 cities | QUANTITY | 0.99+ |
two hundred | QUANTITY | 0.99+ |
EMC | ORGANIZATION | 0.99+ |
last year | DATE | 0.99+ |
20 million images | QUANTITY | 0.99+ |
Department of Transportation | ORGANIZATION | 0.99+ |
14 states | QUANTITY | 0.99+ |
10k | QUANTITY | 0.99+ |
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.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Jeff Frick | PERSON | 0.99+ |
Matt Garman | PERSON | 0.99+ |
Sandy Carter | PERSON | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
Seattle | LOCATION | 0.99+ |
Jeff | PERSON | 0.99+ |
Stu | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Andy | PERSON | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Sandy | PERSON | 0.99+ |
UK | LOCATION | 0.99+ |
Stu Miniman | PERSON | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
six-page | QUANTITY | 0.99+ |
20 minutes | QUANTITY | 0.99+ |
1,000 people | QUANTITY | 0.99+ |
Bay Area | LOCATION | 0.99+ |
Alexa | TITLE | 0.99+ |
Visual Studio | TITLE | 0.99+ |
Windows | TITLE | 0.99+ |
November | DATE | 0.99+ |
143 workloads | QUANTITY | 0.99+ |
PowerShell | TITLE | 0.99+ |
VMware | ORGANIZATION | 0.99+ |
one | QUANTITY | 0.99+ |
Amazon.com | ORGANIZATION | 0.99+ |
Moscone Center | LOCATION | 0.99+ |
yesterday | DATE | 0.98+ |
today | DATE | 0.98+ |
Kindles | COMMERCIAL_ITEM | 0.98+ |
first time | QUANTITY | 0.98+ |
VMware Cloud | TITLE | 0.98+ |
Capital One | ORGANIZATION | 0.98+ |
tonight | DATE | 0.98+ |
two days ago | DATE | 0.98+ |
first | QUANTITY | 0.97+ |
millions of dollars | QUANTITY | 0.97+ |
an hour and a half | QUANTITY | 0.97+ |
Low Flying Hawk | PERSON | 0.96+ |
Aurora | TITLE | 0.96+ |
a year | QUANTITY | 0.96+ |
Jim Long, Didja Inc. | AWS Summit SF 2022
>>Okay. And welcome back to the cubes live coverage here in San Francisco, California for 80 us summit 2022 Amazon web services summit 2020 New York city is coming up in the summer will be there. Check us out the cube.net. Our next guest here is Jim long. The CEO of dig also known as local. BTV a very interesting AWS customer doing some really progressive things around video and, uh, challenging the status quo in code cutting and all kinds of broadcast models. Jim, welcome to the cube. Great to see you. >>Thank you, John. Great to be here. Okay. >>So first of all, before we get into some of the disrupt option, take a minute to explain what is dig and local BTV. >>Uh, dig is all about, uh, providing, uh, edge video networking for broadcast television, basically modernizing local television and hopefully extending it to hyper local content like high schools and community government and community channels and things like that. So essentially free bringing, using the internet as an antenna to bring broadcast television to your phone, your laptop you're connected TVs. >>So if I understand it correctly, if I UN and I look at the, the materials of your site, you basically go into each market, Metro areas like New York Philly bay area, grab the tee signal out of the air. >>Yep. >>Local TV, and then open that up to everyone. Who's got, um, an >>Correct. And, uh, what, we've, where we're essentially building a hybrid network with AWS. Uh, I like to say we got all the smart and account stuff, you know, in the cloud at AWS. And we have all the dumb, fast stuff in the actual TV market. We have servers and transcoding there we work with, uh, of course, um, uh, AWS on that centrally as well. But basically that hybrid cloud allows us to be the fastest simplest and lowest cost way to get a local video. Any type could be an antenna or an IP stream to a local house. So we're, so are the local pickup and delivery people. We're not building a brand, we're not building content. We're delivering the local content to the local views. You >>Like the pipes. >>We are, we're essentially an infrastructure company. Um, we're right at that wonderful intersection of the, uh, the infrastructure and the content where I always like to play. >>I like, I love the store. I think the cost of that nature, how you're using Amazon, it's really impressive. Um, what are some of the cool things you're doing on AWS that you think's notable? >>Well, of course the, the standard issue stuff where you want to store all your data in the cloud. Right? So we, uh, and we use a quick site to, to get to that. And obviously we're using S3 and we're using media tailor, which we really like, which is cuz we first actual company on the planet. I believe that's inserting digital ads, impression based ads into local broadcast streams. So that's, that's fun because the advertisers, they like the fact that they could still do traditional TV buys and they could spice it up with digital impressions based, but ads on us. Yeah. And, and we're adding to it a real fun thing called clip it, which is user clipping. It's an app that's been running on AWS for years. It's had over half a million plays in social media. Yeah. We're combining those together and, and AWS makes it very simple to do that. >>Well, I've been using your app on my Firestick and uh, download local BTV on the app store. Um, I gotta say the calendar's awesome. And the performance is 10 times better than, than some of the other streaming apps because the other performance they crash all the time. The calendar's weird. So congratulations. Clearly you're running the cloud technology. I gotta ask you what's going on in the market? Netflix missed their earnings. The stock was down big time. Um, obviously competition what's up going on with Netflix? >>Well, what's, it's a big shift. >>What does it mean for the streaming market? >>Well, what it means is, is, is a consumer choice. It's really the golden age of consumer choice. Uh, originally back when I was a kid, it was all antenna TV. We didn't even have DBRS right. And then, uh, the cable companies and the satellite companies, the phone companies came in and took over and all of a sudden everyone started paying for TV for just linear TV. Right? And then the next thing, you know, streaming comes around, uh, Netflix shows up for, for VOD or, or SVOD, they call it cuz it's payt TV and uh, and the whole, uh, that ecosystem starts to melt down. And now you have a consumer choice market where you can pay, pay for VAD or pay for, for linear. And everyone does linear and everyone does VAD or you can use free TV. Now we correctly guessed that free TV was gonna have a huge comeback. You know, know what is it about free even obviously gen Z smarter than us boomers. They love free too. Uh, targeted advertising makes the ads less, uh, painful or less of a distraction. Uh, so we knew that free ad supported TV was gonna happen. Lots of stuff happened. And then, then the, uh, major media companies started doing their own subscription apps. Right? They're all cool. >>We like paramount plus >>Paramount plus Disney pluses, PN peacock, uh, time Warner's doing something. I mean, it's all cool, but you know, people only have so much of a big pocketbook. So what it's doing is pay TV has now become much more complicated, but also you, you know, you gotta trade off. So you saw it with Netflix, right? Yeah. Netflix is suffering from there's too much pay TV. So where are you gonna put your money on Comcast? On YouTube TV paramount plus Netflix. >>Yeah. I mean, I love the free thing. I gotta bring up something. I wanna get your reaction to a company called low cast went under, they got sued out of their deal. They were the free TV. Are you guys have issues like them? What's the cast most people don't know got was, was >>Doing same. So we started before low cast and we're uh, what we would call a permissions based system, legal system. The broadcast Mar industry, uh, is, uh, is the wild wild west. I mean, I like to say antenna TV is a direct to consumer. The antenna is a direct to consumer device and it's controlled by the channel. People it's not controlled by a platform like Comcast, right? It's not controlled by a stick. >>When you say channel, do you mean like CBS or >>Yeah, CBS or the local Korean religious cooking channel or, uh, Spanish channels or local independent to television, which is really a national treasure for us. The United States really should be making sure that local content, local channels, uh, do well local businesses, you know, with targeted advertising, Janes nail salon can, can now advertise just in San Jose and not the entire San Francisco TV market. Um, so you ha you have, have all that going on and we recognize, you know, that, that local content, but you have to have permission from the channel stuff. It's not easy because you got channels on stations. You have syndicators, it's hard to keep track of. And sometimes you, you, uh, you, you know, you have to shift things around, but, uh, low cast, uh, like another kind before it just went hog wild, illegal, trying to use a loophole, uh, didn't quite work out for 'em and, uh, >>You see, they have put out of business by the networks, the names, the big names. Yes. Content people, >>Correct. I mean the big, the big guys, but I mean, because they weren't following the rules, um, >>The rules, meaning license, the content, right. >>Well correct. Or yes, >>Basically they, they were stealing the content in the eyes of the, >>Well, there is, there is, it is a little of, a bit of a gray area between the FCC and the copyright laws that Congress made. So, um, there are people certainly out there that think there is a path there, low cast, didn't find it. We're not trying to find it. Uh, we just want to get all the free TV, uh, the bottom line. And you've seen fast channels explode recently, Pluto, uh, Samsung TV. >>And what does that all mean? >>Well, what it means is people love free TV and the best free TV out there is your local TV. So putting that on the internet and those comp, but the media companies, they have trouble with this new stuff. What's, >>What's your >>They're overthinking it. What's >>Some of this CBS, NBC, all these big guys. >>Well, those guys have a little less trouble than the people that actually, uh, they're affiliates, right? So there's 210 TV markets and the, uh, your major networks, you know, they have their own stations. And in a bit, you know, in about 39% of the population, which is about 15 to 20, is it >>Cultural or is a system system problem? >>No, it's a, it's a problem of all the, the media companies are just having trouble moving towards the new technology and, and they're, I think they're siloing it. >>So why not? You gonna let 'em die. Are you trying to do deals with em? >>Oh no, no, absolutely. For us, if we don't make money, unless stations make money, we want local TV to, to flourish. It is local TV is Neilson, just report yesterday, you know, uh, that, uh, local TV is growing. We're taking advantage of that. And I think the station groups are having a little trouble realizing that they have the original, fast channels before Pluto, before Tubi did it in movies. And, and, and what >>Are people understanding in the, in the industry? I know NA's coming up a show. Yeah, >>That's right. >>National associated of broadcasters. What's going on in that industry right now. And you're, if you get to put it down the top three problems that are opportunities to be solved, what would they be? >>Well, I think, you know, I think the, the, the, the last, the, the best one that's left is what we're doing. I have to say it, uh, I think it's worth billions. >>You free TV over the air free and stream >>O TV. Oh yeah. Over the air TV that also works with the internet, right. Public internet connected to public television stations so that everybody, including homeless people, et cetera, that, you know, they don't have a TV, they don't have an antenna, they can't afford comp. They got an >>IPhone though. >>They an iPhone. For sure. And, and so it's, it's, uh, it's a wonderful thing. It's, you know, our national broadcasting and I don't think the station groups or the major networks are taking advantage of it they're as much as they should. Yeah. And, and I don't think, you know, obviously NBC and CBS with their new apps, they're sort of done with that. They did mergers, they got, they got the virtual pay guys. I mean, YouTube TV off the ground, the only thing left is suck another shitload of good, uh, eyeballs and, and advertising. >>Well, I mean, yeah, I think that, that, and what you said earlier around subscription fatigue, I mean, nobody wants to have 20 subscriptions. >>Well, that brings up a whole new other war. That's going on that, thank goodness. We're not part of it's the platforms versus the cable companies. Right. Versus whatever. Right. Everyone's trying to be your open garden or your closed garden. They're trying to get your subscriptions in bundle self bundling it's. But I mean, it's wonderful for consumers, if you can navigate through it. Uh, we wanna, we think we'll have one of the gems in any of that everyone's want local TV. And so we'll supply that we're already doing that. We're supplying it to a couple companies, uh, free cast as a company, uh, app, a universal streaming, you know, manager, your all, all your, uh, streaming, a streaming aggregation, put your paid stuff in, put your free stuff in. They do that. And, and as, as does Roku try trying to do that fire TV, Xfinity's trying to do it. So it's all, it's a new war for the platform and hopefully we'll be on everyone. >>Well, you've been in this industry for a long time, you know, the streaming market, you know, the TV market. Um, so it's, it's good. I think it's a new battle, the shift's happening. Um, what should people know about dig local? BTV what are some of your goals for the next year or two? What are you trying to do? >>Well, what we're really trying to do is make sure that local, uh, local television thrives so that it can support wider communities. It could support hyper local content. So if you're, if you're, and we love the old paradigm and channel change, right? Forget, you know, every other app has all these boxes going by on different rows and stuff. And, and yeah, you can search and find stuff, but there's nothing like just changing channels, whether a commercial's on or, or you, you wanna see what else is on. You know, you're gonna go from local television and maybe all of a sudden, you'll see the local high school play over on another part of the, of the spectrum. And, and what we're trying to do is get those communities together. And the local high school people come over and find the local, you know, uh, Spanish, uh, Nova channel or something like that. >>So local is the new hot. >>It is. Absolutely. And by the way, it's where this high CPMs are gonna go. And the more targeted you get >>Ad revenue, >>I mean, that's for us is, is, is our number one, re we have a number of revenue streams, but targeted ads are really great for local, right? And, and so we're, we're gonna make an announce. We've >>Lost that we've lost that local, I've seen local things that local Palo Alto paper, for instance, just shut down this local sports high school coverage, our youth sports, because they don't budget, right? There's no TV community channels, like some Comcast throwaway channel. Um, we lost, we, we lo we're losing >>Local. No, I think that's a real national shame. And so I think if we can strengthen local television, I think it'll strengthen all local media. So we expect to help local radio and local newspapers. That's a bigger part of the vision. Uh, but I it's gonna happen. There's >>An education angle here too. >>There is an education angle because the bottom line is you can use linear television as a way to augment. Uh, we have a really exciting project going on in New York, uh, uh, with, uh, some of the housing, uh, projects, uh, in Harlem and, and, and the Bronx, uh, their I idea is to have the, the homework channel and they can, and literally when you have a, and both swiping and everything you can have, I mean, literally you can have a hundred schools that, that have things well, >>We know zoom schooling sucks. I mean, that didn't work. So I think you're gonna see a lot of augmentation, right. >>Amazon. >>I was just talking to some people here, AI training, machine learning, training, all here could be online in linear format. >>Yeah. And exactly. And then I think about the linear format is it's discovery television, and you can also, um, you know, you can also record it. Yeah. Right. If you see a program and you want to record it, you sit >>Record. So final minute we have left. I want to just get your thoughts on this one thing and, and ask your question. Are you looking for content? Are you, I outreach at the content providers who, >>Well, we're, we're PRI our primary mission is to get more channel local channels on which really means station groups and independence. We have a number, I mean, basically 50% of the channels in any market. When we move into it are like, this is a no-brainer. I want more eyeballs. We're Nielsen, uh, RA, uh, rated mean we support. And so we, >>How many markets are you in right now? >>We're in 21 now. And we hope to be in, uh, over 50 by the end of the year, covering more than half the United States. >>So, all right, Jim, thanks for coming on the queue. Really appreciate it. >>My pleasure. Good luck >>Recognition. Very disruptive disrupting media, um, combination of over the air TV, local with I internet. Obviously we love that with a cube. We want a cube channel anywhere possible. I'm John furry host of the queue here at AWS summit. Highing all the big trends and technologies in cloud and media back with more coverage after this short break,
SUMMARY :
The CEO of dig also known Okay. Uh, dig is all about, uh, providing, uh, edge video networking for you basically go into each market, Metro areas like New York Philly bay Local TV, and then open that up to everyone. Uh, I like to say we got all the smart and account stuff, you know, the, uh, the infrastructure and the content where I always like to play. I like, I love the store. Well, of course the, the standard issue stuff where you want to store all your data in the cloud. I gotta ask you what's going on in the market? And now you have a consumer choice market where you can I mean, it's all cool, but you know, people only have so much of a big pocketbook. Are you guys have So we started before low cast and we're uh, what we would call a permissions based system, local channels, uh, do well local businesses, you know, with targeted advertising, You see, they have put out of business by the networks, the names, the big names. I mean the big, the big guys, but I mean, because they weren't following the rules, TV, uh, the bottom line. So putting that on the internet and those comp, but the media companies, they have trouble with this new stuff. What's And in a bit, you know, in about 39% of the population, No, it's a, it's a problem of all the, the media companies are just having trouble moving Are you trying to do deals with em? you know, uh, that, uh, local TV is growing. I know NA's coming up a show. problems that are opportunities to be solved, what would they be? Well, I think, you know, I think the, the, the, the last, the, the best one that's left is what we're including homeless people, et cetera, that, you know, they don't have a TV, they don't have an antenna, And, and I don't think, you know, obviously NBC and CBS with their new apps, Well, I mean, yeah, I think that, that, and what you said earlier around subscription fatigue, I mean, uh, app, a universal streaming, you know, manager, your all, What are you trying to do? over and find the local, you know, uh, Spanish, uh, Nova channel or And the more targeted you I mean, that's for us is, is, is our number one, re we have a number of revenue streams, Um, we lost, we, we lo we're losing And so I think if we can strengthen local television, There is an education angle because the bottom line is you can use linear television as I mean, that didn't work. I was just talking to some people here, AI training, machine learning, training, all here could be online in linear And then I think about the linear format is it's discovery television, and you can also, Are you looking for content? We're Nielsen, uh, RA, uh, rated mean we support. And we hope to be in, uh, over 50 by the end of the year, So, all right, Jim, thanks for coming on the queue. I'm John furry host of the queue here at AWS summit.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Jim | PERSON | 0.99+ |
NBC | ORGANIZATION | 0.99+ |
Comcast | ORGANIZATION | 0.99+ |
FCC | ORGANIZATION | 0.99+ |
CBS | ORGANIZATION | 0.99+ |
Jim Long | PERSON | 0.99+ |
John | PERSON | 0.99+ |
New York | LOCATION | 0.99+ |
Congress | ORGANIZATION | 0.99+ |
10 times | QUANTITY | 0.99+ |
Netflix | ORGANIZATION | 0.99+ |
50% | QUANTITY | 0.99+ |
San Jose | LOCATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Harlem | LOCATION | 0.99+ |
yesterday | DATE | 0.99+ |
Nielsen | ORGANIZATION | 0.99+ |
Firestick | COMMERCIAL_ITEM | 0.99+ |
San Francisco, California | LOCATION | 0.99+ |
Bronx | LOCATION | 0.99+ |
20 subscriptions | QUANTITY | 0.99+ |
YouTube | ORGANIZATION | 0.99+ |
Roku | ORGANIZATION | 0.99+ |
IPhone | COMMERCIAL_ITEM | 0.99+ |
billions | QUANTITY | 0.98+ |
first | QUANTITY | 0.98+ |
next year | DATE | 0.98+ |
San Francisco | LOCATION | 0.98+ |
210 TV markets | QUANTITY | 0.98+ |
United States | LOCATION | 0.98+ |
21 | QUANTITY | 0.98+ |
Paramount | ORGANIZATION | 0.98+ |
S3 | TITLE | 0.98+ |
cube.net | OTHER | 0.98+ |
Palo Alto | LOCATION | 0.98+ |
New York Philly | LOCATION | 0.98+ |
time Warner | ORGANIZATION | 0.98+ |
Xfinity | ORGANIZATION | 0.97+ |
over half a million plays | QUANTITY | 0.97+ |
iPhone | COMMERCIAL_ITEM | 0.97+ |
both | QUANTITY | 0.96+ |
BTV | ORGANIZATION | 0.96+ |
Tubi | PERSON | 0.95+ |
about 39% | QUANTITY | 0.95+ |
Samsung | ORGANIZATION | 0.95+ |
each market | QUANTITY | 0.95+ |
Didja Inc. | ORGANIZATION | 0.94+ |
Spanish | OTHER | 0.94+ |
more than half | QUANTITY | 0.94+ |
over 50 | QUANTITY | 0.93+ |
Korean | OTHER | 0.93+ |
AWS Summit | EVENT | 0.92+ |
Jim long | PERSON | 0.92+ |
AWS | EVENT | 0.92+ |
Janes nail salon | ORGANIZATION | 0.91+ |
paramount plus | ORGANIZATION | 0.91+ |
PN peacock | ORGANIZATION | 0.91+ |
about 15 | QUANTITY | 0.91+ |
one | QUANTITY | 0.9+ |
20 | QUANTITY | 0.89+ |
Disney pluses | ORGANIZATION | 0.89+ |
New York city | LOCATION | 0.87+ |
fire TV | COMMERCIAL_ITEM | 0.82+ |
Pluto | TITLE | 0.8+ |
hundred schools | QUANTITY | 0.79+ |
Amazon web services summit | EVENT | 0.79+ |
couple companies | QUANTITY | 0.78+ |
2020 | DATE | 0.76+ |
end of | DATE | 0.75+ |
RA | ORGANIZATION | 0.74+ |
three problems | QUANTITY | 0.73+ |
Nova | ORGANIZATION | 0.72+ |
YouTube TV | ORGANIZATION | 0.71+ |
cubes | ORGANIZATION | 0.68+ |
S.M Hussaini & Abi Cherian Abraham | AWSPS Summit Bahrain 2019
>> From Bahrain, it's theCUBE covering AWS' Public Sector Bahrain, brought to you by Amazon Web Services. >> Welcome back everyone, it's theCUBE coverage. We are here for the Amazon Web Services Summit in Bahrain in the Middle East where cloud computing is changing the game for start-ups, businesses, and the government, and society Amazon announcing their new read, it's up and running. We've got two great guests to talk about all the integration and opportunities. We have Hassaini who is the CEO of ACME and we have Cherian Abraham, who is the general manager of Computer World. Gentlemen, thank you for joining me. >> Thank you, John. I'm so excited to be here. (laughter) >> Thank you John. It's a pleasure to be here. >> It's a great day, it's a bigger venue than last year. It's our second time here, but what's striking from this event is the explosion of innovation, not just start-ups. You're seeing the businesses, large, global ISV's are here. Seeing new ISV's, new software environments, and the demand for cloud computing is off the charts. So, there's a real need, thirst, for cloud computing. >> Absolutely. >> What's your assessment? >> I believe that most customers have started to look into digital transformation and customers have started buying into a new experience, of moving from Imperium into Cloud. And I think that's a great story because customers are looking to move from CapEx to OpEx and driving innovation and driving more for their businesses. >> And the cloud's first message here in Bahrain has been mandated from the top. >> Absolutely. >> And that's been forcing all the ministries to do it, that's changing the citizen relationship to society, which includes entrepreneurs and business, and now they got to integrate it in the banking systems behind it, so good business for you guys. What's the business impact? >> The new diplomacy in business, I think we are on the right track with the cloud business, with interviews in particular. Just to add to all Abraham's mentioned, you know, I think it's an entire eco system which is working well for the whole cloud objective. I was just speaking to one of, a gentleman who was from one of the news cities, he was teaching there, and what he mentioned to me, you know, that we have been giving students, good students, who were like on the verge of getting certified, now we are going to make them certified and hand them over to you. So we'll have limited people available to us. I think the policies right from the cloud-first policy, you know the banking policies, you know. As the last awareness that AWS has got to the market, it's been a game-changer all of a sudden. >> And it's causing a pipe-lining for talent, that's going to allow people to participate. >> Yup. >> Yes. >> Has there been a business driver behind all this? What's been the big business benefit, besides the mandates? Have you seen from customers, is it software development? What's the business driver? >> The key driver has been, you know, every entity would like to have an edge in the business, you know. It's no more of the old days, where you have the set in a competitors. You all of a sudden see new faces, new companies, who become big challengers. I think the very need to face this challenge as well as the desire to grow more and do more, which is driving the whole cloud momentum. >> You know, one of the things as Agility, we've heard that message here, and we go to all the other cloud events. Agility, agility, agility. Data, data, data. Compute, storage networking. Less about storage networking, because that's become elastic, that's available. That's what Amazon brings to the table. >> True. >> Data and agility now drive a lot of the business conversation because now they got to go hire software developers, who need to build on top of something, that's going to be Amazon or something else. This is a big part of the business architecture. >> Mmhmm, true. >> What are some of the things that you guys have done? Can you talk in generalities about some of the projects? >> We have looked at the elasticity of the platform. We looked at the scalability of the platform. What it brings to our customers? And how do we build innovation, bringing in new technology that helps customers' insight from their existing data, and build onto it. >> What are some of the challenges that you guys have seen that are now available to be overcome, that weren't maybe a few years ago. >> I think that the overall resistance to adapting to Cloud. I think that was one of the major challenges that we've seen a couple of years back, because people felt that going to Cloud is going to hinder the way they do the job, the work. In addition to that, the Cloud brought in a lot of security-related issues where people were not aware. But today, people are embracing it. Customers have started to embrace technology because they see value in cloud data >> The culture fear of change- >> Yes. >> And then the security are being addressed. The banks are going cloud. That's a good tell-sign. >> Absolutely. And there are a lot of ISB's that brings in resilient solutions that addresses customer requirements. >> What's the number one conversation you have with customers? >> Thank you. How do we build further on the cloud? How do we take good applications into cloud and take it into modernizing them? How do we take our digital transformation strategy, moving forward? >> Your conversations? >> I think we talk about longevity in terms of how the business can move forward and stay in the game for a longer time. That's so the discussion starts okay, then we start talking about you know, what it means to modernize the applications, so that you know you have the agility to address newer opportunities, you know, to have the growth that you always wanted to have. And, of course you know, the awareness and education that has happened in this country in particular, in the recent times, that has helped us a lot. Okay, we are no more talking about, you know, the challenges of security, whether it's going to be secure in Cloud or not. We are talking about how the business is going to behave once they make the move. >> I got to put you guys both on the spot with a question, I'd like you both to answer it because I think, any conference you go to that's always the hallway conversations that are interesting, because what happens in the hallways, you see someone you know. You mentioned before we came on camera you see people here. Everyone knows each other, it's growing. What are some of the hallway conversations that you guys have had here that you could share with folks watching. >> We need to adopt the Cloud. We need to build a strategy on Cloud. We need to look at innovations. >> If it is a comment, it is about, you know more services that they can offer. It's an ongoing sector, the new revenue streams that they can generate, these are the conversations that I have most of the time . >> It gets business deals done. Come on, come on. You've got some deals happening. >> Yes. We're getting a lot of good traction with people showing a lot of interest in new areas of business. >> I've found there's three types of companies in digital transformation. One's that know they got to do it, people that are doing it and they get stuck a little bit, and folks that are done it and are like "Wow, maybe I can do it over again" or are successful. So, three kind of phases. How would you categorize the market here in terms of progress, more phase one, two or three? What do you guys see the distribution? >> I think it's phase one and two. We haven't reached phase three yet. There are some customers who have started looking at phase three, but it's all centered around phase one, phase two. >> Understand the playbook? >> Yes. >> Yup. >> What systems to start with, those kinds of things? >> Absolutely. >> Fixing the culture, making more buy into it. >> Absolutely. >> Okay, other question I wanted to get your thoughts on, I think it's important that we're reporting here, is that cultural shift, this new generation of workers, we alluded to it about the young people coming to the university, there's a generational shift happening. >> Absolutely. >> It's almost pride. You see the sparkle in the entrepreneurs eyes that like, there's a whole 'nother thinking out there. >> (Husseini) Sure. >> How do you guys relate to that? What's your observations, being that we're the older, mature generation, kind of looking back at the young guns coming up. >> I think it works very well for us, innovating the event for a combined strategy, you know. We come from a strong lineal system integration and application delivery, and we have a lot of people who are very much tuned to offering turnkey solutions. So, I work first on them okay, because I wanted to have those mindsets with huge amount of experience, ready you know, in the new era of big business. At the same time, we started getting the new team from whom we started learning and know many things in Cloud, many things in DownSoft, you know, acclimation via learning more from them. So this way I think, you know, we had the initial success. I think that you continue that strategy. >> You bring in, combine them on teams... >> Yep. >> They can learn from each other. The key is learning two ways. >> I think the younger generation does not carry baggages, unlike the older generation. >> (chuckling) Yeah. >> They are more open, they are more agile to learning new technology and they want to be entrepreneurs. They've lived new applications that create opportunity for the community, for businesses, and for themselves. >> Yeah, I mean, we had a start-up on here, a thirteen year old company, doing API's >> True >> Billions of transactions, API calls... >> Yeah >> That wasn't even possible in the old days. Remember, you had security perimeter, firewalls, everything's locked down. Not anymore, it's all open. The surface area is completely- >> Entirely new dimension. >> Yeah, security's huge. Thanks so much guys for coming on theCUBE. Take a quick minute, each of you, to give a plug for your companies, what you guys are working on, key initiatives you'd like to share. We'll start over here. >> Thank you, John. My company, Computer World, focuses on digital transformation. We help businesses thrive on new areas by building innovations. >> My company, Almoayyed Computers Middle East, we are a four decade old company and we have taken a reboot recently in Cloud data, focusing more on Cloud now, whatever we do it's all focused on Cloud and we are on to many services. We are on to the emerging technologies, RTA, AIA, machine loading... >> Yeah, the bots are coming. This is going to help humans. >> True. >> The big debate about automating jobs away kind of, I always laugh at that, because there's so many job openings. It's like (chuckling) some go away but more are born. This is the dynamic. >> Yep, yep. >> Guys, thanks so much for coming on and sharing your insights, appreciate it. CUBE coverage here in Bahrain for AWS Summit. I'm John Furrier. We'll be back with more CUBE coverage, after this short break.
SUMMARY :
brought to you by Amazon Web Services. We are here for the Amazon Web Services Summit in Bahrain I'm so excited to be here. It's a pleasure to be here. for cloud computing is off the charts. I believe that most customers have started to look And the cloud's first message here in Bahrain has been And that's been forcing all the ministries to do it, As the last awareness that AWS has got to the market, And it's causing a pipe-lining for talent, that's going to It's no more of the old days, where you have the set You know, one of the things as Agility, of the business conversation because now they got to go We have looked at the elasticity of the platform. What are some of the challenges that you guys have I think that the overall resistance to adapting to Cloud. And then the security are being addressed. that addresses customer requirements. How do we build further on the cloud? We are talking about how the business is going to behave What are some of the hallway conversations that you guys We need to adopt the Cloud. that I have most of the time . You've got some deals happening. What do you guys see the distribution? I think it's phase one and two. to it about the young people coming to the university, You see the sparkle in the entrepreneurs eyes that like, mature generation, kind of looking back at the young guns I think that you continue that strategy. The key is learning two ways. I think the younger generation does not carry baggages, They are more open, they are more agile to learning Remember, you had security perimeter, firewalls, for your companies, what you guys are working on, We help businesses thrive on new areas We are on to the emerging technologies, Yeah, the bots are coming. This is the dynamic. and sharing your insights, appreciate it.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Cherian Abraham | PERSON | 0.99+ |
John | PERSON | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Hassaini | PERSON | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Bahrain | LOCATION | 0.99+ |
Abraham | PERSON | 0.99+ |
S.M Hussaini | PERSON | 0.99+ |
ACME | ORGANIZATION | 0.99+ |
second time | QUANTITY | 0.99+ |
AWS' | ORGANIZATION | 0.99+ |
Husseini | PERSON | 0.99+ |
two ways | QUANTITY | 0.99+ |
John Furrier | PERSON | 0.99+ |
thirteen year | QUANTITY | 0.99+ |
first message | QUANTITY | 0.99+ |
last year | DATE | 0.99+ |
CapEx | ORGANIZATION | 0.99+ |
four decade | QUANTITY | 0.99+ |
three types | QUANTITY | 0.99+ |
Middle East | LOCATION | 0.99+ |
Computer World | ORGANIZATION | 0.98+ |
Amazon Web Services Summit | EVENT | 0.98+ |
two great guests | QUANTITY | 0.98+ |
one | QUANTITY | 0.98+ |
both | QUANTITY | 0.98+ |
OpEx | ORGANIZATION | 0.98+ |
today | DATE | 0.97+ |
each | QUANTITY | 0.97+ |
Abi Cherian Abraham | PERSON | 0.97+ |
first | QUANTITY | 0.97+ |
AWS Summit | EVENT | 0.96+ |
AIA | ORGANIZATION | 0.96+ |
One | QUANTITY | 0.96+ |
Almoayyed Computers Middle East | ORGANIZATION | 0.95+ |
Imperium | LOCATION | 0.94+ |
few years ago | DATE | 0.93+ |
Cloud | TITLE | 0.92+ |
two | OTHER | 0.84+ |
couple of years back | DATE | 0.83+ |
three | OTHER | 0.81+ |
phase one | OTHER | 0.71+ |
AWSPS Summit Bahrain 2019 | EVENT | 0.7+ |
phase three | OTHER | 0.68+ |
ISB | ORGANIZATION | 0.66+ |
DownSoft | ORGANIZATION | 0.62+ |
three | QUANTITY | 0.61+ |
phase two | OTHER | 0.58+ |
phase | OTHER | 0.58+ |
one | OTHER | 0.57+ |
Billions | QUANTITY | 0.56+ |
RTA | ORGANIZATION | 0.55+ |
many job | QUANTITY | 0.53+ |
phase | QUANTITY | 0.52+ |
CUBE | TITLE | 0.51+ |
CUBE | ORGANIZATION | 0.49+ |
theCUBE | ORGANIZATION | 0.48+ |
Ahmed Hamadan, unifonic | AWSPS Summit Bahrain 2019
>> from Bahrain. It's the Q recovery AWS Public sector Bahrain brought to you by Amazon Web service is >> Welcome back. Everyone's Cube coverage here in my reign Middle East, part of A W s Amazon Web services Summit, sir. Second year covering the evolution and the Revolution to cloud computing. This year, the big news is a Davis has a region spurring innovation and entrepreneurship in the Middle East region or next gases. Ahmad Hamadan, CEO and CO. Front of Uniform Nick, a super hot company. Congratulations on your success. Welcome to the Cube. Thank you, Joe. So we just talked before we came on camera. This ap I economy that we've been covering in death you been living? This is your world. You have a really big business. Not a lot of employees. Less than 200 employees, billions of transactions. Ap I transactions. This is This is the successful man we've been seeing in the public companies truly, among others. Messaging application integration. This is cloud now, right? This is happening. What's your story? >> Okay, so >> you know, these times I would say it's a golden age for the technology in the region on for the cloud specifically when we started back in 2006. Uh, you know, we're very lonely. We're we're not even in that time in the club. So we started just tow, solve the issue off bulk messaging through writing a script or software that allow us to broadcast a message to a group of people. But along the journey, we realized that businesses need tools, especially a B I's that will allow them tow, tow each toe a wider, I would say audience with a seamless integration. And this is how the cloud communication industry emerged. So we avoid our baby eyes for businesses from all around TV region, especially with segments or sectors that have a mass communication need, like banks in government retailers on the E businesses, >> the data is the data in this business is a fascinating. Before we get into some of those questions about the origination story, how did it all start? >> Okay, so I wasn't at the university a teenage off 22 probably on I leave the one of the student clubs. Andi. I wanted to communicate a message Tau 400 people on, you know, the limitation of the mobile. Back then, I couldn't do it. It's terrible experience. You cannot send two more than 10 people. The text is not full. You know all these complications. So being a software engineer on Dhe, you know, I had an idea. There should be a solution that you can write code, publish it online, and then it will do the magic for you. For months later, I apartment with my brother was a software, you know, geek more than I on dhe. You know, already >> older or younger, brother. >> Younger brother. Okay. Yeah. Hey, was at high school on then four months later, we're life sending thousands of messages over the Internet. It was like magic friends and family like it. It's really making money on, you know, for us, you know, You know, it's like when you have 4005 thousand's a big money for us. That way, any each month, Andre, Like moving forward 2008. I decided this is the dream we need to scale this and, ah, venture out of this small, you know, experiment on. Then I left the job and dedicated my time to scale that business. And I moved the business toward the business and the cloud and communication. Our first move to the cloud was, Ah, 2010. We used aws toe move most of our infrastructure to the cloud on By 2013 we completely divert it into the cloud communication business where the focus is into the FBI. The integration with the applications at the customer systems on Ben allow them tow, communicate to, you know, 100 of millions off >> and then mobile phones, obviously GPS built in application. Tsunamis happened. Exactly. People want to interface with the companies. The other phone? >> Exactly. I will give you an example. You know, you come to my mind while you're talking. We used to have customers back in 2010 descend on Lee along the year like maximum one million transaction the same customers nowadays, like nine years later, they send at least 200 million transactions, so you can imagine the growth in the use cases on the adoption from the customers. Use it now for engagement for notification, for awareness for security and authentication for personalized marketing content, like hundreds of fuse cases like we do some analysis in the behavior of the customers and the consumer on. We realised that in a modern society on individual interact digitally with at least 50 grands and a day. This is huge. You can do the math if you multiply this by 100 million population than there is a massively huge number of transaction and data's being >> percent. What are you guys doing now? Is mainly targeted application developers or businesses as a turnkey solution? What's the What's the value proposition? >> So, >> UH, >> two years like nature, we realized that we cannot target or the market and serve, or the customers we need to focus into the sick man that has hypertension. Then we identified five segment where we tell her our solution, our value proposition toward those segments on it's aligned with the trends in the region. Maybe it's not applicable to other regions. Eso number one for us is the online banking segment. I would see the financial industry with all the, you know, evolution off the authentic and the online and mobile banking. So those are number one. We do integrate our system with their current systems out off the shelf. We don't do much of a cast immunization. We usually provide really integral components toe toward their system, and then they hook up their system two hours, and then they have the dashboard and blood form to orchestrate the communication. The number one is the M government. It's also a, you know, an industry that is evolving in the region. The number three for us is the businesses, and they're very hot, very high potential growth. I would say the number one in terms of growth a business include the e commerce on demand delivery, the food delivery applications you name it on then. The fourth industry for us is the retailer who are moving now toward the reality and the engagement. More to them prison share themselves in this stuff word for them. And the last one is the I would say the hospitality and the, you know, the, you know, hotels and, you know, travel agents. >> I think anyone building an app would want this of their mobile. So what's what's your take of the ecosystem? Entrepreneurship now much different in one year. You have an Amazon region here. What do you think's gonna happen? It's gonna be like you and your brother all over again with other entrepreneur. >> Exactly. You know, when I you know, see, photo interpreters usually approach me for, you know, kind of mentorship and coaching. You know, we're at the stage little bit, you know, being fruit difficult. You know, >> the situation's got the scar >> tissue. Yeah, So I usually told them guys, it's like being so easy for you. You know, at this time, I know that with all the luck, I would say support the barrier to entry had become much less. But at least there are many things you don't need to think how you figure out. It's already there. Just need to have the badge and dedication, and then you'll find many people to support you. Especially, I would say there is only one areas not yet will, you know, covered in the region, which is the access to the talents. I think this is a worldwide problem, even for Forks in the Silicon Valley. But in terms of funding thes of doing business, sitting up ventures, access to the technology platforms like the cloud infrastructure in terms, off advice, mentorship and coaching there is, I would say, an abundant off that available today for for interpreters. And I can tell the next five years you will see a huge value being created out of this. >> Yeah, instead of riding, waves will be running s curves. So it's easier now, Still hard to build a company. But you're right. I mean, go back 10 years ago. You to put it all together, >> Takes us six months to set up the company. You know, legally, back in 2006 >> to get the infrastructure legally, get servers, get some funding, prototype it, get it launched its customers. Now they have a partner network. These kids are spoiled. >> But you know, it's difficult >> today to differentiate yourself because you will find tons of people are either doing or planning to do the same. >> They gotta build some smart intellectual property. This one machine learning is gonna be a great opportunity. That's gonna be a domain expertise kind of thing. You guys have a nice niche, and broad market is growing good. Calm, surround it. Got all kinds of systems out there that need this >> Exactly. You know, the question today is not if the tools and support is available or not. The question is, how you gonna use those tools to create something unique? >> I'm a great to See you. Thanks for coming on and sharing your experiences. You're an inspiration to the other entrepreneurs out there again. Remember Entrepreneurship like a family. Took a team, sport. Pay it forward. The other generations coming online. Absolutely. Congratulations on your success Cube coverage here by rain talking to start ups. This is going to be a hot market for entrepreneurship If the capital markets conform around it. The Cube is here covering it here and by rain. Stay with us for more at a debate summit. If this trip
SUMMARY :
AWS Public sector Bahrain brought to you by Amazon This is This is the successful man we've been seeing you know, these times I would say it's a golden age for the technology in the region on the data is the data in this business is a fascinating. you know, the limitation of the mobile. we need to scale this and, ah, venture out of this small, you know, experiment on. People want to interface with the companies. You can do the math if you multiply this by 100 million population than there is a massively What's the What's the value proposition? business include the e commerce on demand delivery, the food delivery applications you name It's gonna be like you and your brother all over again with other entrepreneur. me for, you know, kind of mentorship and coaching. And I can tell the next five years you will see a huge value being created You to You know, legally, back in 2006 to get the infrastructure legally, get servers, get some funding, prototype it, or planning to do the same. You guys have a nice niche, You know, the question today is not if the tools and support This is going to
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
2006 | DATE | 0.99+ |
Joe | PERSON | 0.99+ |
2008 | DATE | 0.99+ |
Ahmad Hamadan | PERSON | 0.99+ |
2010 | DATE | 0.99+ |
two hours | QUANTITY | 0.99+ |
six months | QUANTITY | 0.99+ |
Silicon Valley | LOCATION | 0.99+ |
Ahmed Hamadan | PERSON | 0.99+ |
billions | QUANTITY | 0.99+ |
FBI | ORGANIZATION | 0.99+ |
Middle East | LOCATION | 0.99+ |
Bahrain | LOCATION | 0.99+ |
nine years later | DATE | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Less than 200 employees | QUANTITY | 0.99+ |
one year | QUANTITY | 0.99+ |
today | DATE | 0.99+ |
2013 | DATE | 0.99+ |
two years | QUANTITY | 0.99+ |
four months later | DATE | 0.98+ |
This year | DATE | 0.98+ |
10 years ago | DATE | 0.98+ |
4005 thousand | QUANTITY | 0.98+ |
Andre | PERSON | 0.98+ |
five segment | QUANTITY | 0.98+ |
fourth industry | QUANTITY | 0.98+ |
100 of millions | QUANTITY | 0.97+ |
Second year | QUANTITY | 0.97+ |
each month | QUANTITY | 0.97+ |
22 | QUANTITY | 0.97+ |
Amazon Web | ORGANIZATION | 0.97+ |
first move | QUANTITY | 0.96+ |
one areas | QUANTITY | 0.95+ |
months later | DATE | 0.94+ |
thousands of messages | QUANTITY | 0.93+ |
two more than 10 people | QUANTITY | 0.92+ |
Davis | LOCATION | 0.92+ |
hundreds of fuse cases | QUANTITY | 0.91+ |
one | QUANTITY | 0.9+ |
AWSPS Summit Bahrain 2019 | EVENT | 0.89+ |
M government | ORGANIZATION | 0.88+ |
tons of people | QUANTITY | 0.87+ |
100 million population | QUANTITY | 0.86+ |
400 people | QUANTITY | 0.86+ |
each | QUANTITY | 0.85+ |
next five years | DATE | 0.85+ |
Amazon Web services Summit | EVENT | 0.84+ |
0 grands and a day | QUANTITY | 0.83+ |
Forks | ORGANIZATION | 0.83+ |
Tsunamis | EVENT | 0.82+ |
Lee | PERSON | 0.81+ |
A W | EVENT | 0.79+ |
one million transaction | QUANTITY | 0.78+ |
Dhe | ORGANIZATION | 0.76+ |
Cube | ORGANIZATION | 0.75+ |
at least 200 million transactions | QUANTITY | 0.75+ |
at least 5 | QUANTITY | 0.74+ |
Ben | PERSON | 0.64+ |
Uniform Nick | ORGANIZATION | 0.62+ |
three | QUANTITY | 0.6+ |
transactions | QUANTITY | 0.59+ |
Amazon | LOCATION | 0.59+ |
Andi | PERSON | 0.52+ |
Cube | COMMERCIAL_ITEM | 0.51+ |
Cube | TITLE | 0.47+ |
Mathew Joseph, Wipro Limited & Emilio Valdes, Informatica | AWS Summit Bahrain
>> Live, from Bahrain it's theCUBE. Covering AWS Summit Bahrain. Brought to you by Amazon Web Services. >> Okay, welcome back everyone. It's the theCUBE's coverage here, in Bahrain, in the Middle East, for our coverage of AWS Summit and the announcement, and now soon to be up-and-running in 2019 in Q1, Amazon Web Services, full region here in the Middle East. Should have a massive impact to the ecosystem, and companies and entrepreneurs from around the borders. We've got great conversations all day. And today we've got to great guests here, Emilio Valdes, VP of EMEA South and Latin America for Informatica. Thank you for theCUBE sponsorships over the years. We've covered Informatica shows all over the world. Mathew Joseph, business head of Data Analytics for Wipro. Good to see you, thanks for joining us. >> It's a pleasure. >> Same >> Great to be here. >> So, Informatica, we know a lot about you. We cover all of your big events in North America, I interviewed your CEO, I've been following the value proposition, growing really well, you've got a good product offering. But we're in the Middle East, okay? And what I've learned here is that there's a thirst for entrepreneurship. There's a thirst for cloud. But everyone's talking about data. And if data's the new oil, no better place to be than in the Middle East. They know the value of oil. What's going on in town here? What's happening in the Middle East? >> Right, so, as I cover a pretty big area within Informatica, I used to travel the world and meet many customers, in many places, many customers and many industries here in the Middle East. And I can tell you that, you know, the story, the messages are very consistent, you know? Every company, every industry, is going through a massive period of change, and companies are reacting to this change very differently. What we've seen is that the disrupters are going to be the ones that will, you know, implement digital transformation consistently, and we believe that data is the key driver for intelligent digital transformation. Here in the Middle East is no different. We've been seeing this across the different countries, in Dubai, in Bahrain, in Kuwait, in Saudi Arabia, exactly the same as everywhere else in the world. >> And cloud's now coming in full throttle at Amazon, You guys are not new to Amazon. I know you guys do a ton of work with Amazon integrating and putting all this together, what do you think is going to happen, here? Now Amazon gets up and running, they're already using a cloud now, so Bahrain's clear, cloud first. Saudi's got the cloud bug too, they're doing great things. So when an actual region comes here, what do you think is going to happen? An explosion of innovation and more business? What's going to be the impact? >> Well I think, I think the market knows what the benefits they can get out of the AWS platform, and I believe the challenges are related to get the most out of this AWS platform. At Informatica, we are going to help customers to move their data to the cloud in a consistent manner that is connected, articulated, properly governed, and not only this, but also we believe that the key value is in the hybrid world. The world hasn't moved to the cloud yet, entirely, so most companies continue to have some on-premise applications, as well as their cloud applications. So I believe that Informatica can help customers here in the Middle East, by connecting the on-premise world with the cloud world. And at the same time, the value they can get from our platform is by making AWS easy to operate, and, you know, move data to the cloud in a consistent, quick, and sustainable manner. >> So Matthew Joseph, you're with Wipro, why are you guys together, what's the relationship? Obviously we know what you guys do, you guys do great work, global, around the world. We see you at all the events. From SAP Sapphire, EMC World, now Dell World, Reinvent, you guys are everywhere. So here, what's going on here? I mean, analytics, you need analytics. You're good at analytics >> First of all, John, thanks a lot. A couple of thoughts. One, Wipro has been a global partner of AWS. Wipro's a global partner of Informatica. And the region is going through massive change of innovation, of using, consuming data. And at this point we really feel that both the expertises should come together to manage the change. And that's the simple reason why Informatica and Wipro are together, along with AWS and this, I would say a historical movement of this part of the world, to actually consume this rate and transfer the data for all of us. >> So if I asked you a question that said, hey, tell me about your relationship with Informatica. What's in it for me? What do you do for me? Are you, are you bringing it together? Are you guys going to market together? How do you, how do I win with you and Informatica? >> So what we have done is, as I told, the global partnership, across the globe, the best practices we're bringing back to this part of the world, to make sure that we have a similar set of stories across the global sphere. This certainly means more repeatability, less risk, and for the entire government to go through a small transition of going to the cloud. >> And data disruption is huge. You guys have Informatica 3.0, and you guys have your practice. When you put that together, what's the go to market? What's the value proposition? What's the pitch to the customer? >> So the key part is the IPaas method, the platform as a service message, right? With the platform as a service, it's a market that Gartner has identified as a $12.5 billion market. And it's growing very rapidly. Just to give you an idea, we process three trillion transactions per month, and this number is being multiplied by three every three to four months, right? So the iPaaS platform is what is going to help customers to move from the on-premise world, to the cloud. And this is where the key value Informatica, and Wipro, can put together to facilitate and to help enable customers in their journey to the cloud. >> So talk about the Amazon impact, obviously you guys do work with Amazon. What, specifically, does Amazon have that you guys like? That you work with the most with customers? Obviously they want to know, obviously you know, I got data, a ton of data. I've got to manage it. I mean, analytics are pretty good. You've got Sagemakers, Hotrock, on fire. Redshift everyone knows is doing well. Kinesis, with streaming. What's some of the Amazon tools you guys are working with around some of these day-to-day opportunities? >> Yeah, so there are multiple of them. In fact today's the day when the big data is pouring in, for example, right? So how do I really bring in all the data into a common platform? And today the customer is also talking about how do they really consume it? So consumption is a major attraction for AWS and how they really consume this data. The extraction, making sure the data is available, furthers decision making in the second part. The way Wipro and Informatica positions this entire journey is not just about putting the data into a common place and building up a transformation, right? What you're looking at is how do I really change the way the business works? And elements of design principal come in on it. And what Wipro has literally done is, we've done a lot of investments around how to I really make this transformation from a design-thinking point of view? How do I make sure the best practices of data science, and governance comes into it? How do I make sure that the press points for the customer are so clear and so vivid that decisions are made based on that? And I feel AWS, out in the region, is doing a great work on that. And that's the simple reason why all of us are together with that. >> That's great. And cloud, you guys are no stranger to Amazon. >> We are partner of Amazon. And we've been a partner of Amazon AWS for awhile. As well as Wipro is a partner of Amazon. And Informatica and Wipro are global partners as well. We're quite excited about bringing this partnership to the region. >> What sort of things that you guys have done together, can you share some examples of some awesome implementation and use cases? >> A few of them. So to me, what is happening, as I was earlier telling is that most of the government entities are talking about how do I really consume this data. How do I really think of it as an experience? So what we have really done is pull up this data, look at various models on how I can do revenue generation for the customer. How can I bring in more customers' recommendation? How do I make impactful decisions based on those data? And the ample amount of programs use cases that you have already implemented in this part of the world, and certainly Informatica has been a great help in this journey of ours. So the teams around which we look out, is data monetization, customizability, researching degree of the customer, operating efficiency, and this is true across industries. Government is doing a fabulous job of going on this journey but certainly we do a lot of work in the oil and gas sector, in the healthcare, and similar things like that. >> Awesome, and what's core value proposition that you guys are offering customers out here? >> I believe it's the messages we discussed earlier. It's having a consistent platform where data gets together and can be used across different applications, business units, et cetera. At the end of the day, end users will need to use data and they don't care where this data is stored. It could be in the cloud, it could on premise, it could be in a big data application, it doesn't really matter, you know? >> It could be addressable. >> Exactly >> In real time too in low latency. It can't be some data warehousing thing that takes, you know, real time application like a car needs data. IoT, a huge growth area. I mean these are new cloud architectural opportunities. You can't be having the old way. >> The data has to be connected, and secure, and clean, and available, and consistent. This is what we do for a business. >> Yeah you guys have got some good story there. Good luck with everything. I want to get your final questions as we kind of round down the day here. The day's kind of cleaning out here behind us. You can see it's getting quieter. What do you think about what's happening here? Amazon Web Services Summit, mix a little public sector, you've got some commercial, but this region pulsing with cloud demand. What do you think, guys? What's your thoughts? >> I think we're going to help the government to move to the cloud. We're very excited about the announcement that we heard this morning. The cloud-first policy. I think that Wipro and Informatica are uniquely positioned to give the government what they need to be successful in their cloud-first policy >> Thoughts? >> Same here, I think the last 24 months we have seen a lot of initiative from the government. Both across the artificial and then about data being the center of all things. And cloud is going to be a very pivotal role in this. And I think we are geared very well to take care of it. >> I think you guys are well positioned enough, you know. My translation is you see their cloud-first policy, they want to be involved in FinTech in the future, you got to have a data strategy to center the value proposition everything's got to be built around how that data's going to move, how it's going to be addressed, how it's going to be consumed, shared, connected. Across the board, IoT, on premises, real-time mobile, everything. >> And John, one more point, to close, would be what we see is the hybrid architecture coming up, alright? So cloud being one of them, the customers still want data inside the premises as well, so how do you really look at the hybrid architecture, and the challenges around it. I don't think there are many companies in this part of the world who are geared up to that. Wipro has done it multiple times, Informatica has been a leader in that. And I think that is going to be a game changer for all of us. >> You know Mathew you made me smile because, thank you for making me smile, because we always joke, and I always talk on theCUBE, and usually Dave Vellante's here and we kind of argue about it, because I say data is the new oil, he says it's not the new oil because oil can only be used in the car I guess, we can always go back and forth. But I've been saying that cloud is the future, I've been saying it for many years. Amazon certainly is more hardcore, Andy Jassy, all data systems moved to the cloud, What does that mean? Just announced RDS on VMware on premises, so it kind of like, takes that window, but I say that the cloud, operationally, is what's going on. People are moving to operations that are cloud-linked. So if everything is running cloud operations, DevOps, infrastructure as code, AI, all the things that you guys are working on, that means that the data center and on-premises, is an edge device. Or is it? It's a big fat edge. Or what's the difference between a windmill and an on-premise campus? I mean, edges? So, this is the debate we've been having. What is an edge? >> The way we see it is customers having a journey, in a journey to the cloud. And the state of the art is very different. We're happy to help customers to go through this journey efficiently, quickly, and in a consistent manner. >> And all serious, putting the fun kind of comment aside about the argument we had about the edge, is that the architecture that we see people are going to is, don't let some pre-defined thing define where the data has to go. So this data out there, it's got to move around. And if you don't want it to move around, then you put Compute to it. So there's all kinds of things going on where you don't have to get dogmatic about it. >> Absolutely >> What the definition is. It's all running cloud operations, then it's cloud, right? I mean it's not on-premises operations, no one says that. Anyway thanks for coming on theCUBE, thanks for sharing. Great to see Informatica here, great to see Wipro. We've got to get more of these use cases, if we had more time we would. This is theCUBE coverage, here, in Bahrain for Amazon Web Services Summit. Stay with us for more coverage after this break. (electronic music)
SUMMARY :
Brought to you by Amazon Web Services. and companies and entrepreneurs from around the borders. And if data's the new oil, the story, the messages are very consistent, you know? I know you guys do a ton of work with Amazon And at the same time, the value they can get Obviously we know what you guys do, you guys do great work, And that's the simple reason why Informatica So if I asked you a question that said, and for the entire government to go What's the pitch to the customer? So the iPaaS platform is what is going to help customers What's some of the Amazon tools you guys are working with And I feel AWS, out in the region, And cloud, you guys are no stranger to Amazon. to the region. is that most of the government entities are talking I believe it's the messages we discussed earlier. You can't be having the old way. The data has to be connected, and secure, and clean, Yeah you guys have got some good story there. to give the government what they need And cloud is going to be a very pivotal role in this. I think you guys are well positioned enough, you know. And I think that is going to be a game changer all the things that you guys are working on, And the state of the art is very different. is that the architecture that we see What the definition is.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Amazon Web Services | ORGANIZATION | 0.99+ |
Informatica | ORGANIZATION | 0.99+ |
Emilio Valdes | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
John | PERSON | 0.99+ |
Bahrain | LOCATION | 0.99+ |
Wipro | ORGANIZATION | 0.99+ |
Andy Jassy | PERSON | 0.99+ |
Kuwait | LOCATION | 0.99+ |
Matthew Joseph | PERSON | 0.99+ |
Dubai | LOCATION | 0.99+ |
Mathew Joseph | PERSON | 0.99+ |
$12.5 billion | QUANTITY | 0.99+ |
2019 | DATE | 0.99+ |
Saudi Arabia | LOCATION | 0.99+ |
Dave Vellante | PERSON | 0.99+ |
second part | QUANTITY | 0.99+ |
North America | LOCATION | 0.99+ |
EMC World | ORGANIZATION | 0.99+ |
Middle East | LOCATION | 0.99+ |
Gartner | ORGANIZATION | 0.99+ |
Dell World | ORGANIZATION | 0.99+ |
Wipro Limited | ORGANIZATION | 0.99+ |
both | QUANTITY | 0.99+ |
Mathew | PERSON | 0.99+ |
today | DATE | 0.99+ |
Both | QUANTITY | 0.99+ |
four months | QUANTITY | 0.99+ |
Reinvent | ORGANIZATION | 0.99+ |
EMEA South | ORGANIZATION | 0.98+ |
Data Analytics | ORGANIZATION | 0.98+ |
Hotrock | ORGANIZATION | 0.98+ |
One | QUANTITY | 0.98+ |
three trillion transactions | QUANTITY | 0.98+ |
three | QUANTITY | 0.97+ |
SAP Sapphire | ORGANIZATION | 0.97+ |
AWS Summit | EVENT | 0.96+ |
one | QUANTITY | 0.96+ |
Amazon Web Services Summit | EVENT | 0.95+ |
this morning | DATE | 0.95+ |
First | QUANTITY | 0.94+ |
Teresa Carlson, AWS | AWS Summit Bahrain
>> Live from Bahrain, it's theCUBE. Covering AWS Summit Bahrain. Brought to you by Amazon Web Services. >> Hey, welcome back everyone, we're here live in Bahrain in the Middle East. This is theCUBE's exclusive coverage, here for the first time, covering Amazon Web Services, AWS' Public Sector, and the breaking news around their new region that they announced a while ago, going to be deployed here in the early 2019 time frame. An Amazon region really is the power source of digital. It has a track record of creating so much value and innovation. And I'm here with Teresa Carlson, who's the head-- she's the chief of public sectors, she's the head of Amazon Web Services' Public Sector globally, except for China but that's a different territory. Teresa Carlson, it's great to see you. >> It's so great to have you here with us, oh my goodness. >> So I got to say, you told me a few years ago we're going to really go international, we're doubling down outside North America, we're going to have regions, Andy Jassy, the CEO of AWS, said the same. This is the strategy of Amazon. But the Middle East was your baby. This was something that you did spend a lot of time on, and a lot of decisions. Everyone wants to know why Bahrain? Why did you choose this region? And what do you see happening? And how's it going? >> Well, you know, it's interesting because, well I have had a lot of people say why Bahrain as the first region that you've put in the Middle East? Because it doesn't seem like the first place somebody would choose. And the thing that kept coming back to me is Jeff has always said we're willing to be misunderstood for long periods of time. And I think this is probably one of those times where people just didn't quite understand why Bahrain. Well, here's why. I met the Crown Prince, we talked about digital innovation and the economy here and he immediately got that they needed to go through a digital transformation. They are not a country that has a lot of oil. They are a smaller country and they really are a working class country that is looking for how do they have sustainment? And they've done things in the past around financial services that really got them going. They would spear head things. And I think he saw the opportunity that this could help them jump-start the economy and they could kind of be a hub for innovation. So they created the right policies around Cloud First. They created the right telecommunications policy. They were one of the first to deregulate. They had good pricing for utilities. They were friendly toward businesses. And they had a culture that we felt could fit well with us, as well as our partner community. >> Couple of observations, being the first time here, so thank you for inviting us and allowing us to cover you here. One, they're a learning culture, they speak multiple languages, why not add programming to it, software? Two, they like to move fast. They just built a track in 14 months, they're not afraid to go faster. >> They go fast. >> That's Amazon. Amazon, you guys move at a speed of a whole 'nother cadence. And then, my observation again, compared to other areas as I look around is that the percentage of the population of Bahrainians is large, is a lot of people live here, that are native, and they're talented. >> Well, one of the things you said that I think is key is that they move fast, they're used to being frugal on how they do things and they're very scrappy. And that really fits with their culture because, again, they have to do things different than some of the other minimalist countries who are-- they're not quite as rich. But they have this culture of really moving fast and they took down blockers like crazy. I mean, as we came in and were making a decision on-- >> What were some of those blockers? Like, stumbling blocks, are they more hurdles? What were they? >> They were stumbling blocks but they were-- we had to really come in and talk about why telecommunications, policies and pricing had to change because in an old-school model of Telco, there's a lot of big charges. And when you have a digital economy coming in, if you think about, you have a few transactions for a lot of money in an old-school. In a new-school world, you have millions of transactions for a little bit, 'cause you've got to be able to transact a lot, and that's why your telecommunications industry's got to be set up as well as you want it deregulated. They'd already deregulated it so they worked with us to open it up, to set the policies, and now Batelco, who is one of our major telecommunications partners here, is doing manage services on AWS, they've gotten all kinds of people trained. And it's just an example of how they look at an opportunity and say we have got to innovate and make changes if we want to have a sustainment in the 21st century economy. >> And you guys are bringing a lot of goodness to the table, they're quick learners, they're smart, they've got their entrepreneurial vibe. They're not afraid to put some funds of funds together and get some professional investment going on. So that's going to level up the entrepreneurship base. The question is when will the region be ready? How's that going? It's under construction. We've been hearing it's been impacting and, frankly, bringing in to this country an agenda item of sustainability and sustainable energy. Well, why would they need sustainable energy if they've got oil? >> Well they-- (laughs) [John] - Why burn it if you can sell it? That's what the British Prime Minister-- >> Well they do and they've had a new find but I think they have to get to the new oil that they've found but they're not-- I think, what I understand, they're not banking on that, they're going to bank on a digital economy. So they know this is kind of a guaranteed way to really grow what they're doing and bringing out outside others. There's two big elements they're doing. One is they're creating policies for data that allows other countries to put their data here safely and with the right laws. That is game changing. So that's one big thing they're doing. The second thing is they have the spirit of teaching and training so they're getting other countries to come in and talk to them about what they're doing. And remember, John, they're already moving the government to the Cloud and they don't even have their Cloud here yet. So they've done all their homework and they're already moving more work loads into the Cloud that they don't feel need to be here. But they've looked at security design, compliance practices, and they're like, we're moving, we're not waiting. >> They're Cloud First. >> They're Cloud First. >> Okay, so when do you expect the construction to be ready? Ballpark, I know you can't probably give an exact date but when-- >> We expect it'll be ready by Q1 of 2019 and we're excited. It's going to be one of the most innovative regions. And by the way, I dunno if you saw, I had a big star on the map today in my presentation. We have literally, at AWS, had a big hole in the world with no region in the Middle East or Africa, and now we are going to have this region so it is exciting, and I know that the region itself is really anxious to get going. >> Well not only are you an amazing executive, I've seen you work, I've seen what you've done, checking the boxes, doing the hard work, getting down and dirty and doing hustling and scrapping, but you also made some good strategic bets. This one really is successful because I think, two things, you bring a region to the area for AWS but you guys are doing it in a way that's partnering with the government, you're actually-- as industry contributing. I think that's a case there that's going to probably be recognized down the road when people figure that out. But that's going to be a great one. But the cultural win, for you, is pretty amazing and I have to say, yesterday I went to the women breakfast that you hosted and I've never been at a women breakfast, and I've been to a lot of them because I like to be involved, where I got kicked out of a table because they need the space, so it was so crowded. Sorry guys, you're out, I got booted. I didn't leave the room, I had to just move, because they had workshops. Take a minute to explain the women breakfast you had because I think that was extraordinary and a proof point that the narrative of the region, women don't go to school, all this nonsense that's out there, take a minute to clarify this, this is a cultural shift. There might be some cultural things going on. >> Well, the women are here, #SmartIsBeautiful. They are amazing. And they are very educated and in fact, 53% of the government work force here are females at high level jobs too, they're not just low level. And I actually met with the King this week who told me that he was able-- he has the first Supreme Court Justice, that's a female, in the Middle East. And he said it was against culture but he did it because he said this woman was so amazing and she was so talented and she fit the role, she had the job description down. And he said it's gone great, so the women here are smart, they're talented, they're educated, and they actually get degrees in Computer Science. Here in Bahrain, 60% of the Computer Science students are females. Now, what is not happening, is their not always getting out and getting these jobs. And the second thing is, right now, we're still working with them to teach the right skills. A lot of skills are actually outdated tech skills and I know, John, you see this too, even in the US. You have universities that are still teaching the wrong skills for Cloud, so we are working with them at the university and the high school level that actually teach and certify on the right skills. But the women are talented, they're amazing. There are some cultural things that we're going to work together on but there's really no reason we can't have an amazing and talented workforce of women here in the Middle East. >> We had Mohammed on, who's the chief executive of the IGA, the Information e-Government Authority. He told me that any citizen can get a certification for free in this country. >> Yes! Oh my gosh, so I've never seen this. So our partner here, Tamkeen, who's like The Labour Fund, about a year and a half ago, agreed that any citizen that got a certification on AWS, it would be 100% paid for. And then we just announced today that they're actually also going to pay 100% of Bahraini companies that want to move to the Cloud. They're serious about this, they are serious. And they are being a role model and, again John, why are they doing it? They are doing it because they realize that they want to be a true digital economy and grow their businesses here and create new. They got to move faster because they're smaller. They've got to be scrappier, they got to move faster, they got to do things a little bit different. >> The other thing I want to point out, you can't really see it on the camera, but behind us you have, essentially, a mix of commercial and public sector. The show here is so, so crowded, couldn't get into the keynote speech, overflow of room was packed, this is attracting everyone from the Gulf region here. Not just public sector, but commercial businesses. This is not a one time thing, this is a-- the pent-up demand is here. What do you expect is going to happen when the region gets here built out? >> Well, if you look at all the partners around, I mean you have Trend Micro over here, and others, many of them have come because they're excited about us putting a region here. And Andy Jassy and I both have had many of our partners say when are you going to have a region in the Middle East? So we expect a lot more partners are going to come. Just like you they're going to see the value of being here. But, additionally, I don't know what we're going to do for our conference, our summit, because we've already out-grown this space and you're right, we have delegates here from Jordan, the UAE, Saudi Arabia, of course Bahrain, Kuwait, the US. So many different groups are being represented here and I think also South Africa, we have some folks from South Africa. >> Well theCUBE is here, we're making great observations and great commentary. I got to say that you're even attracting amazing talent from the US, besides theCUBE. General Keith Alexander was here. >> Yes he was. >> John Wood from Telos, and all these partners, all visionaries who see the opportunity. This is important, you're not being misunderstood by the people who know Amazon. >> No, I agree. And you made a point earlier that I think is important. Even though I'm kind of here for this conference, leading it, this is not a public sector conference, it's a AWS Summit. It has tons of commercial, tons of public sector. The thing that's a little bit different when you get to some of these countries is they are more government lead, so that is the reason it's important to have this relationship with government if you really want to, but you don't want to surprise them. And you want to work with them to help make sure that they and the country are successful. >> Well Teresa, it's been fun to observe and watch your successes continue to raise the bar here in your job. This is a whole 'nother level when you talk about really filling a hole, you see a hole, you fill it. >> Yep, find a whole, fill it (laughs). >> I heard someone say that once in a motivation speech. Oh, that was you, "You see a hole you fill it. "Oh, we got to hole in the Middle East, fill it!" You have a region here, you've got great success in Washington, DC, CIA, other governments. Congratulations, and thanks for all your support-- >> Thank you John for being here, thank you. >> Thank you, live coverage here. We are here in Bahrain in the Middle East of CUBE's first time. I'm John Furrier, your host here, covering the exclusive Amazon Web Services Summit, and covering the historic launch of the new region in the Middle East. This should change the game, this is going to be a digital hub. It's going to have impact to entrepreneurship, economics and society. We'll be covering it at theCUBE. Stay with us for more after this short break. (jubilant music)
SUMMARY :
Brought to you by Amazon Web Services. and the breaking news It's so great to have you So I got to say, you And the thing that kept coming back to me Two, they like to move fast. as I look around is that the they have to do things and pricing had to change lot of goodness to the table, that they don't feel need to be here. and I know that the region itself and a proof point that the and certify on the right skills. the chief executive of the IGA, they got to move faster, from the Gulf region here. of course Bahrain, Kuwait, the US. from the US, besides theCUBE. by the people who know Amazon. so that is the reason it's important Well Teresa, it's been fun to observe the Middle East, fill it!" Thank you John for and covering the historic
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Teresa | PERSON | 0.99+ |
Amazon Web Services' | ORGANIZATION | 0.99+ |
AWS' | ORGANIZATION | 0.99+ |
Bahrain | LOCATION | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
John | PERSON | 0.99+ |
Teresa Carlson | PERSON | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
Teresa Carlson | PERSON | 0.99+ |
IGA | ORGANIZATION | 0.99+ |
Jeff | PERSON | 0.99+ |
John Wood | PERSON | 0.99+ |
Mohammed | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
John Furrier | PERSON | 0.99+ |
Andy Jassy | PERSON | 0.99+ |
South Africa | LOCATION | 0.99+ |
Information e-Government Authority | ORGANIZATION | 0.99+ |
100% | QUANTITY | 0.99+ |
Tamkeen | PERSON | 0.99+ |
US | LOCATION | 0.99+ |
Middle East | LOCATION | 0.99+ |
60% | QUANTITY | 0.99+ |
Telco | ORGANIZATION | 0.99+ |
yesterday | DATE | 0.99+ |
53% | QUANTITY | 0.99+ |
Batelco | ORGANIZATION | 0.99+ |
first | QUANTITY | 0.99+ |
Africa | LOCATION | 0.99+ |
21st century | DATE | 0.99+ |
first time | QUANTITY | 0.99+ |
Trend Micro | ORGANIZATION | 0.99+ |
Keith Alexander | PERSON | 0.99+ |
early 2019 | DATE | 0.99+ |
North America | LOCATION | 0.99+ |
CIA | ORGANIZATION | 0.99+ |
One | QUANTITY | 0.99+ |
14 months | QUANTITY | 0.99+ |
one | QUANTITY | 0.99+ |
second thing | QUANTITY | 0.99+ |
millions | QUANTITY | 0.99+ |
Jordan | LOCATION | 0.99+ |
today | DATE | 0.99+ |
one time | QUANTITY | 0.99+ |
Two | QUANTITY | 0.99+ |
two big elements | QUANTITY | 0.98+ |
Washington | LOCATION | 0.97+ |
Telos | ORGANIZATION | 0.97+ |
China | LOCATION | 0.97+ |
two things | QUANTITY | 0.97+ |
both | QUANTITY | 0.97+ |
first region | QUANTITY | 0.96+ |
this week | DATE | 0.95+ |
Amazon Web Services Summit | EVENT | 0.94+ |
Kuwait | LOCATION | 0.94+ |
AWS Summit | EVENT | 0.94+ |
Dr Samer Aljishi, BFG International | AWS Summit Bahrain
(upbeat music) >> Live from Bahrain. It's the CUBE. Covering AWS Summit Bahrain. Brought to you by Amazon Web Services. >> Hey, welcome back everyone. We're here live at Bahrain. This is the CUBE's exclusive coverage of the Amazon Web Services Summit here. Where Amazon, AWS, is launching a region in early 2019. It's been announced. This is going to change the game. And also, it's creating a lot of gravity. A lot of people coming together. Of course, the CUBE's first time here. We have lots of observations, lots of commentary, an amazing new guest on the CUBE. We're super excited. Our next guest is Samer Aljishi. Who is the group president of BFG. Welcome to the CUBE. >> Thank you John. Nice to be here >> So, what is BFG? Take a minute to explain. What is BFG? >> Big friendly giant, no. So BFG is an industrial firm where one of the first industries in Bahrain was set up in 1975 as a composites manufacturer. It has grown over the years. So it's been 43 years and it has grown to become a small multinational concentrated in about let's say, quite diversified but broadly covering four different product centers. So, we are working in the architectural area as a supplier of facets and complete building envelopes. Utilizing composites plus other types of innovative building materials. If you look at the building's design for the likes of Saja Hadid where you got parametric architecture and its got unrepeatable shapes. Architects are looking for different types of materials. That are able to achieve those visions, which are quite grand and inspirational. And achieve them cost effectively and efficiently. So we are one of the top players in this area. A second key area for the BFG today, we are recognized as one of the largest suppliers of components to the real industry. So, we serve most of the real industry in Australia, in the Asia, in Europe, and the Americas. Some of the parts are structural, some of them are decorative. Structural parts, we make the front ends, for example, we make the front ends of the TGV. We build the toilet cabins for the majority of trains. A highly sophisticated, integrated product and all of the interior linings. Sol transportation is a big area for us. We also work in renewable energy. We work with BE, cements, and others. It's a supply generator housings for winter months. And then, we have a very strong program on waste treatment management. It's quite a lot of different sectors. They're quite varied. It's quite interesting. I think ,in a way, we'll be talking about industry 4.0. The variety that we have in types of client and the products for those... >> So, what is industry 4.0? Explain that. What is industry? >> Now that's a great question. And it's actually a hard one to answer simply. Industry 4.0 is, I think just to begin with, let's talk about the industry 3.0. >> So, industry 3.0 was a time when you had relational data bases like SAP or Oracle or any other product. Or Microsoft and others come in. In order to put some structure into manufacturing organization and to provide information and visibility. And we have ,also, robotics. A substantial amount of robotics coming in. Industry 4.0 goes a step further from this. In that, what we are now doing with industry four, we have the capability today through the cloud and through machine learning, deep learning, and other tools. We'll able today, to do real time optimization. And that's a big difference between industry three and industry four. I will say ,simply, industry four ,in short, is bringing out real time optimization out of a disordered environment. When you look at manufacturing, manufacturing is not a very ordered system. You've got suppliers that have different delivery schedules that are never matching. It's either ahead or behind. Different quality levels, different capacity levels. You have the supplier of your suppliers if you go one step up. Then you've got operators so I will do something in a different way and speed than you would do it. Even though, it's the same process. So you've got variations in people, variation people skill, variation people's quality. And then you've got machines that could ,perhaps, do a certain process a little bit faster than they do in other process. But ,also, they could fail. They could sometimes fail unpredictably. And if you take all of that and you look at one failure, it could affect a complete program that you had for... >> You get a great software for this. You can program this. Is that what four is? >> Yeah, basically. >> It's much more programmable. >> Basically. It's taking the... >> Not the old static, you know. >> Absolutely. >> Known process. >> Absolutely. >> Or known technology, not very flexible. >> Absolutely so like, the all of the ERP systems of industry three will give you a program for a day. But they wouldn't really recalculate what happens in the middle of a day. And they're not learning. So, they're based on data that is input statically. With industry 4.0, we're putting real time data acquisition on the factory floor. We are putting in tons of IOT sensors, imaging sensors, cameras, operator, measurement systems... >> So flexibility is pretty critical. So, I talk to a lot of people who use cloud and I've met many manufacturing gurus like you. But, the ones that are kind of in operational management roles, they say. The old days we had processes, they were locked in and we kind of did tech and we kind of managed it. Looked at the dashboards, looked at the data, had meetings, tried to fix it. Now, we have kind of new technology but the processes are changing in real time so that at any given time, we might want to deploy a new process. >> Absolutely. Not only this but if I take it forward, a few years forward with artificial intelligence. Now that you're breaking up all of this data and a computer looks at it. It will be able to enter some suggest optimization processes. You no longer need people to do so. The computer will actually see that a particular operator has done something in a different way. It resulted in improvement. It in itself can go and change that operating procedure. >> Well, okay I've got to ask you the question. My mind is going into operating system mode here. I'm writing the kernel in my head. Okay so let's do that. We just built this cool system but now, where's the data? The data really is the key here. If you have good data, you're going to have a real good flexible AI. Bad data is bad AI. >> Exactly. >> How do you view that? How do you set up the architecture? How are you thinking of architectural frame works for managing great data quality? >> Well , you've got to have. First of all, you have to have a good and reliable sensor suite and good sensors for it's captured environment or parameters venture. Other types of vibration. Other types of either motion or sensing or different types of temperature, humidity. And then, you have actually the operators themselves become connected. So you have to find how to connect that operator and extract data of what they're doing into the cloud. You could go as far as actually measuring their exact motion in the future. We don't yet have the hardware or the tech to do so. But, imagine if you can actually measure their motion or you could have very intelligent imaging. Where you got a camera that actually looks like an operator, understands what it does. >> Still coming in. >> That's a lot of data and so the challenge is not just the data centers like Amazon. But it's also creating that bandwidth to feed data from the factory into the cloud. And that's going to be very important. >> Well, I want to ask you about your biggest challenges that you guys are doing right now. But I want to get, 'cause I want to jump quickly into something different . I want to get your opinion since you're an expert. The number one question I had coming over here on this trip was, Amazon, why do they put their region over there for? It's hot as hell. Cooling is the biggest problem. Why would they go to the hot place? So weird with the data center. So , again, the question is since someone who has been involved with sustainable building materials. What do they do? I mean, that's the number one question I get. How do you make it work? It's to cut cooling challenges off season solar. Sun's a friend. Sustainable, renewable energy is going to be a key piece of this data center. What's your opinion? Are you working on it or do you have an opinion on it? >> Well, I just think from like a data center perspective. Yes, it is a hot area in the world and cooling is an issue. But, you know, this region supplies fuel for a large part of the world... >> They've got plenty of oil. >> So we do have energy in plenty. And we certainly have sunshine in plenty in this area. And with solar energy becoming so cross competitive today, we believe that it can very quickly return the additional cost of infrastructural cooling or even the operating part. >> So you see solar, no problem, supporting what they need in cooling and power. >> For sure. For sure. >> Okay so let's get back to your challenges as you go into industry four. Which, by the way, I think it's a whole new management practice. I don't think, you know, the Peter Truckers of the world wrote those books. I think that was industry one, wasn't it? I'll give him some credit. We'll call 'em 2.5 maybe three. >> I think three. >> Okay give him three. 4.0 is a new paridine ship. You're in the cutting edge of it. What are some of the challenges that you're facing that are opportunities? How are you thinking about them? Your thoughts. >> They're a lot of challenges. Technology is still developing so they're a lot of things we would like to do but are not yet available. Certainly, let's just talk from our implementation brain. The skill gap is still one of the key areas. So , in my team and the FTI, taking in about 12 young engineers. Fresh graduates. And we're getting them acquainted with the process because we want to develop homegrown talent. We believe, industry for out of Bahrainians is going to be big. But it's important to have the local skills. >> Need the young guns. Young talent. >> Absolutely and they have to get involved quite early. So that's from the local angle. We have a lot of support coming in from government and other bodies of Bahrain Everybody is fully aligned with this. When we look ,however, at the actual implementation of the development. There's certainly still a certain gap. For example, they're a lot of things that we believe require a higher degree of image recognition and image analysis. I'll give you an example. You got a robot. If you have a robot, you've got to position. Robots are dumb machines. >> Yeah. >> Unless something is placed exactly in the right place. >> I know a lot of people are building more robots more than ever. So there's more robots out there. >> And you know what's surprising, we're discovering that the robots aren't very connected and they're not yet to day. The programing of the robot doesn't enable you to develop them or to connect them or to implement industry four on this. Just seeing that announcement, recently. Microsoft, for example, is ruling out robot programming languages. Which would be a great start and that's what you need. So, we find that they're quite a lot of missing technologies to make industry four really, really operational. Related to our robotics imaging and date acquisition. >> The phase we're in now is connect and then being intelligent. So IOT and robotics is like "Let's get connected." "Let's get power to it." And then make it more intelligent. >> Absolutely. So today I think we're at the stage where we can collect data. We can analyze it. We can project what's optimized. And I hope that we're yet at the stage where we can take that optimization and actually implement into very quickly real time on the software because of certain interface issues. >> Interfaces are data bases. Are they technical or business challenges? >> They're both technical. >> Okay, okay. >> But the technology is developing so quickly that I think a lot of these challenges will disappear in a couple of years. >> What are you most excited about? Assume that the connecting and the power parts happening that's easy to do. On the making more intelligent, what are you excited about? What are you looking at? What are some of things you're really investing your time on? >> Well, I think this technology is very interesting and can be applied to. When industry four rolled out, it was mainly the large processing industries that adopted this. Or maybe even large mass, production type industries which adopted this. I think there's tremendous, tremendous potential for this with the medium and small enterprises. Particularly those that are doing what we call discreet manufacturing. Which is producing limited series or limited amounts of parts. And where you have a high amount of human interaction and labor and know how. With the ability to do this, you'll be able to create something that's equivalent of factoring a box. So you can actually box that know how and you'll be able to transport it anywhere in the world. And be able to localize or become international very quickly. >> That was un-gettable in the old model because of the cost and the size of the equipment and the requirements to do it. >> And the fact that know how was really still even if it's written. It was mainly in somebody's head. >> Yeah. And this is going to impact everyone from street vendors to... >> Absolutely. >> All kinds of businesses. >> Absolutely. >> And this is going to make, hopefully, create more efficiencies. >> Hopefully, yes. >> Around smart energy maybe. >> Absolutely. Like industry two to three and three to four. It has its own number because it will create such a large transformation of business as we see. >> Well, I really appreciate Samer coming on the CUBE this year and your insights. Great conversation. >> Thank you. >> I like your talk about processes improvement. It's one of my dark, little secret hobbies. Manufacturing, although, I'm not a big operational guru. I'm not a detailed person but I love the operating system concept around manufacturing and system. >> We love to have a conversation a few months from now and show you how the demonstrator has gone ahead. >> I'd love to keep in touch. Final question before you break. I know we got to go. Just quick thoughts on the impact of having a region of Amazon here in Bahrain. >> Well, I think having Amazon here is a huge, huge thing. For the country and for the region. So just the presence of Amazon, not only is it an enabler but it by itself would create such a great support for the developing ecosystem here of star clubs. The Bahrainians , we as Bahrainians, I often tell people. Innovation, entrepreneurship is built into the Bahrainians since thousands of years ago. >> It's a learning culture. >> It's a learning culture. I'm always surprised by the level of skill, the level of enthusiasm for know how, for innovation that happened. Having Amazon come here, I think reinforces this. With the people in Bahrain and in the region. And I think it's going to leap for all that development. >> It's a free economic new energy. >> Absolutely. >> One thing, I'll just, I know we have to go. But , I wanted to comment, I've seen Amazon do this before. It's not just big businesses, developers are going to scale up. And this whole skill gaps thing, we've seen it now for nine years. I've witnessed it and talked about it. Here's the common strength, the pattern. It doesn't matter if you're 15 or 50, you can level up and be the next guru in months. I know people who went from eight weeks are doing serious employments. Gripto, these new AIs. You can literally come from any point. >> Absolutely. >> And level up and be one of the best. Versus the old linear. >> Absolutely. >> Education. So if your culture's got that mojo learning. >> This could transform and we no longer are limited by just capital. Now we're just limited by creativity. And you could have that any place. You can find some global links rising out of Bahrain very quickly. >> I was really bullish of you guys. My advice when I was at the crown table yesterday was, you guys got a good community. They're active, they're vibrant, they complained a lot which is a good sign. Because they should be. You have capital, then you have a power source coming in here with Amazon and resources. Let the ecosystem organically develop. The soil's been planted. Let it grow. >> Absolutely. >> Don't try to make any forced decisions. Feed it. Get out of the way when you have to. Help it when you need it. Nurture it. Don't worry about it, it'll figure itself out. I think that is a good pattern. It's hard to get the community. You can't like buy a community. >> You can't forced innovation. You can't go and tell somebody "Please be creative, be innovative today." >> You can't buy a community. You can't buy the advancements. Thanks so much Samer. And we're at the CUBE. We went a little bit over but , you know, we like getting all the action and getting all the smart people. Creating some great insights and we're going to continue all day. So stay with us for more coverage after this short break.
SUMMARY :
Brought to you by Amazon Web Services. of the Amazon Web Services Summit here. Thank you John. Take a minute to explain. and all of the interior linings. What is industry? let's talk about the industry 3.0. You have the supplier of your suppliers Is that what four is? It's taking the... Absolutely so like, the all of the ERP systems Looked at the dashboards, looked at the data, You no longer need people to do so. Well, okay I've got to ask you the question. First of all, you have to have a good so the challenge is not just the data centers like Amazon. I mean, that's the number one question I get. for a large part of the world... the additional cost of infrastructural cooling So you see solar, no problem, For sure. of the world wrote those books. What are some of the challenges that you're facing So , in my team and the FTI, Need the young guns. of the development. I know a lot of people are building more robots The programing of the robot doesn't enable you So IOT and robotics is like "Let's get connected." on the software because of certain interface issues. Interfaces are data bases. But the technology is developing so quickly On the making more intelligent, what are you excited about? With the ability to do this, and the requirements to do it. And the fact that know how was really still And this is going to impact everyone And this is going to make, hopefully, and three to four. on the CUBE this year but I love the operating system concept from now and show you how the demonstrator has gone ahead. Final question before you break. So just the presence of Amazon, not only is it an enabler and in the region. and be the next guru in months. Versus the old linear. So if your culture's got that mojo learning. And you could have that any place. You have capital, then you have a power source coming Get out of the way when you have to. You can't go and tell somebody "Please be creative, and getting all the smart people.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Australia | LOCATION | 0.99+ |
Samer Aljishi | PERSON | 0.99+ |
John | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Bahrain | LOCATION | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
Asia | LOCATION | 0.99+ |
1975 | DATE | 0.99+ |
BFG | ORGANIZATION | 0.99+ |
15 | QUANTITY | 0.99+ |
Samer | PERSON | 0.99+ |
Europe | LOCATION | 0.99+ |
50 | QUANTITY | 0.99+ |
nine years | QUANTITY | 0.99+ |
eight weeks | QUANTITY | 0.99+ |
43 years | QUANTITY | 0.99+ |
Americas | LOCATION | 0.99+ |
early 2019 | DATE | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Oracle | ORGANIZATION | 0.99+ |
yesterday | DATE | 0.99+ |
BFG International | ORGANIZATION | 0.99+ |
today | DATE | 0.98+ |
first time | QUANTITY | 0.98+ |
one | QUANTITY | 0.98+ |
FTI | ORGANIZATION | 0.98+ |
thousands of years ago | DATE | 0.98+ |
CUBE | ORGANIZATION | 0.97+ |
this year | DATE | 0.97+ |
four | QUANTITY | 0.97+ |
one failure | QUANTITY | 0.97+ |
Peter Truckers | PERSON | 0.97+ |
both | QUANTITY | 0.96+ |
Amazon Web Services Summit | EVENT | 0.96+ |
first industries | QUANTITY | 0.96+ |
a day | QUANTITY | 0.96+ |
First | QUANTITY | 0.95+ |
three | QUANTITY | 0.95+ |
about 12 young engineers | QUANTITY | 0.94+ |
AWS Summit | EVENT | 0.94+ |
Saja Hadid | PERSON | 0.94+ |
Bahrainians | PERSON | 0.93+ |
SAP | ORGANIZATION | 0.91+ |
one step | QUANTITY | 0.9+ |
One thing | QUANTITY | 0.87+ |
2.5 | OTHER | 0.85+ |
second key area | QUANTITY | 0.83+ |
two | QUANTITY | 0.82+ |
one question | QUANTITY | 0.8+ |
kernel | TITLE | 0.76+ |
CUBE | EVENT | 0.62+ |
industry one | QUANTITY | 0.62+ |
IOT | ORGANIZATION | 0.58+ |
of people | QUANTITY | 0.57+ |
Dalal Buhejji, Women in FinTech Initiative | AWS Summit Bahrain
>> Live from Bahrain. It's theCUBE. Covering AWS Summit, Bahrain. Brought to you by, Amazon Web Services. >> Hi everyone, welcome back to our live coverage here Bahrain. It's theCUBE's exclusive coverage, our first time here in the Middle East. This is exclusive coverage of Amazon Web Services Summit. I'm John Furrier your co-host of theCUBE. Our next guest is Dalal Buhejji, who is the Chair Person for the Women in FinTech Initiative, a big growing organization here and the role of technology is about to change in a big way as Amazon Web Services Region comes online in 2019. It should spawn massive amounts of innovation, education, connections, networks. Thanks for joining us, thanks for coming on. >> Thank you, thank you for inviting me. It's a pleasure. >> So, what a great opportunity you have. FinTech's is a strategic initiative for this country. It's one of their core competencies. They see FinTech. >> Absolutely. I mean, FinTech is definitely growing in Bahrain. There's definitely a shift towards Financial Services moving towards innovation and digitalization. And, you know, we've seen women participate quite heavily when it comes to FinTech in Bahrain. And that's not something that's new to Bahrain. We've seen women that are a part of the Financial Services Sector for many decades. >> Yeah. >> So naturally, if the Financial Services Sector will innovate. >> Yeah. >> Then women will be part of this move. >> And the women movement is phenomenal. We had a breakfast we attended with Teresa Carlson. >> Yeah. >> Yesterday morning. >> Yes. >> It was absolutely a packed house. I even got kicked out of my table because, >> I wanted to participate >> (laughing) but I'm happy to give my chair up. There's so many women there. >> Yeah. >> And some Coders mostly new to tech. But this professionalization of digital >> (agrees) >> is going to impact FinTech more than ever. Take a minute to explain about the group. >> Yeah. >> The mission, what you guys are trying to do. How many people are in? What's your aspiration? >> Sure, it's a very recent and new initiative. It's a Women in FinTech Bahrain. It's a network of Professional women that are in the Financial Services Sector or that have impacted or worked in the FinTech Ecosystem. So, it's anywhere from a woman that work in the Central Bank of Bahrain, Founders of FinTech companies, people such as me, who attract inward investment and try to attract companies to set up in Bahrain. But also accelerators and incubators. >> Yeah. >> And we gather together. >> Yeah. >> And we're like, you know what? There's a lot of women in this FinTech Ecosystem and I'm sure a lot of them want to also be part of it. So, why don't we build awareness, empower more women, invite more women to come and be part of the growth of the FinTech Ecosystem in Bahrain. >> And Teresa Carlson was sharing some of her personal experience yesterday. >> Yeah. >> Unfortunately we didn't have a camera. I got audio, I'm going to put it as a podcast cause I thought it was so compelling. She said you know there's different ways to connect in and the most important thing is to be networked. >> Yes. >> And have each other's back. >> Absolutely. >> And amplify and support each other. This is normal. This is what people do. >> Absolutely. >> This is important as the growth comes. >> Yes. >> There's going to be a massive amount of opportunity coming into Bahrain. >> Absolutely. >> Big time. >> Yes, I mean, you nailed it. Like the network is actually how it's started. So we used to attend a number of events. Like the AWS Summit that we are here in today. And you know it's a bunch of women that just, you know, just happen to be part of the FinTech Ecosystem. >> Yeah. And we're like hang on, we might, there be might more women that are part of this that we're not aware of. >> Yeah. >> So why don't we make it formal in a way and call it a network where we attend more events. >> Yeah. >> Promote it more. >> Try to invite more people to attend and be part of it. So you know, not to shy away as being a women to be part of the FinTech revolution in Bahrain. >> You now one of the thing is wanted to ask you because this is a big trend that we're seeing in the United States. >> Yeah. >> And around the world. And OpenSource Software set the trend for this, is that co-creation, makes you feel part of a shared experience. >> Absolutely. >> And content and creation together makes people feel part of something. >> Yes. >> But is also creates a network effect. >> Yes. >> Network effects are some of the most important dynamics of bringing people together. >> Yes. >> But also extracting value and creating value. >> Yes. I mean, you know, once we initiated this Women in FinTech. It was two months ago, and what we did, we did this amazing picture. We took all this picture of us together and we got so much publicity out of it. So one of my colleagues visited Innovate Finance in UK, which is headed by a woman, and she also have women in FinTech a group. And we're exploring what can we do to collaborate. >> Yeah. >> I got a phone call a week ago from a VC, a Venture Capitalist who happens to be run by a woman and it's all about women entrepreneurs that seed money into FinTech companies or Startup companies that are funded by women. So it's all about the network as you said. >> Yeah and what's beautiful is that when you have this collaboration. >> Yeah. >> The people who create the value are going to shepard the extraction and sharing of that value in a community way. >> Absolutely. >> It's a community. The community is critical. Not over playing the hand or over driving. You know what I'm saying? It's like. >> Yes. >> It's a balance between community formation. >> Which is very crucial for a sector that's in it's initial stages and growing quite significantly. So you know, Bahrain has always been a Financial Services Hub. What we've seen that the sector has been digitalizing and innovating. >> Yeah. >> The last two years. So it's quite new. And you know, you need to gain as much knowledge as you want and the only way to do it is to create a network. >> Well I'm so impressed with what you're doing. >> Thank you. >> I really think Dalal of course our door is always open in Silicon Valley, Palo Alto, we'll amplify your message. >> Thank you. >> It's super important. So what is your goals and objectives? Share to the folks out there who're watching who might want to get involved. What are your goals? What are some of your objectives that you're trying to achieve. >> Right now it's initial stages. We are there just to create more awareness of women involvement in Bahrain, when it comes to FinTech, and to invite more women to participate in the growth of the FinTech Ecosystem in Bahrain. >> But you are also not limiting it to Bahrain, it's also externally. >> Of course not. >> You mentioned UK. >> Correct. Correct. Ultimately we will grow even further and have Bahrain as a FinTech hub for the region so we welcome any collaboration across borders. >> You know we were just talking about John Wood, who's a Senior Entrepreneur. Been around the block, very successful. Partnering with Teresa and Amazon at a high level. And he said, you know, what you read in the paper in the news and the media and then you come to Bahrain it's different. The ground truth here, when you look at, when you're on the ground. >> Yeah. >> Meeting people, and seeing all of this action, it's a different truth. >> Yes. >> What would you say to the folks watching here, who might watch it now live or on demand, what is the ground truth here in Bahrain? What's happening? How are women becoming the power engine? What's in general and the over all ecosystem at large? What's the story? How would you explain the phenomenon that is Bahrain? >> If you look at it beyond FinTech and look at it beyond Financial services. The involvement of women in the Private Sector is quite phenomenal in Bahrain. >> Yeah. And it goes way beyond just a few years ago. It's decades of the women involvement. We have women at Cabinet. We have women in, leading good you know, financial institutions or corporates. So the involvement of women has always been prominent in Bahrain. And we welcome and want to see more of women go towards digitalization now. >> Yeah. >> And give them the right means to be able to achieve that. >> And one of the things that's interesting is that when you're not here on the ground, you might have some old history of what the role of women here. >> Yeah. >> My 21 year old daughter Jacqueline asked me and my 17 year old daughter Caroline said. They were curios, they just don't know. They're like: "What's it like to be a woman there?" What's it like to be a woman in Bahrain? It's a very comfortable and liberal place to live in. You know, education was introduced first for women in the GCC. You see a lot of woman participate in any cross-sectors within the Private Sector. It's a very friendly place to live in. You know, and it's a great to see how knowledgeable those women are. They are hungry for knowledge. >> Yeah. >> And very impressive characters, I must say. So, you know, it's something to be, definitely to monitor and to watch very closely. Tala Fahkro came on earlier. >> Yes. >> She's the Executive Director of the EDB, Economic Development Board here in Bahrain. >> Correct. >> She said it's a learning culture. >> It is, it is. >> And it's always been a learning culture. >> Absolutely. >> And always been open and liberal, if you will. But open minded. >> Exactly. I mean, see Bahrain has always been in a very unique position, that it was a trade-hub for many years. So it's welcomed people of different cultures. >> Yeah. >> Which opened that learning culture. We're very much receptive to understanding what people from India or China or the US have to do. So it's a very as, I totally agree with Tala Fahkro and I think it is definitely a learning culture. >> Well certainly our door's open in Silicon Valley. >> Thank you. >> Thanks for spending the time. >> Thank you. >> And good luck with your opportunity. And how do people engage with you? Just give the plug, talk about. Is there a site? Is there a Facebook page? >> Is there? What are you? How do you guys engage? How should someone engage and join? >> So your main. >> The Women in FinTech network? >> So yeah, we're working on a, you know, a page for people to reach out to us. But in the meantime you can reach out to me on my LinkedIn page or Twitter page. And you know, please watch this space cause it's growing. And I look forward to, you know, showcasing more of the events during. Well co-create, share content with us, we're open to seeing what you do. Thanks for coming on tehCUBE. >> Thank you. >> We are here in Bahrain. This is theCUBE coverage. I'm John Furrier. You can reach me at on Twitter @Furrier, LinkedIn, Facebook, Telegram. I'm all over the place. Easy to find. theCUBE of course here for the first time here in Bahrain in the Middle East. Exploring the creativity, the entrepreneurship and the impact of the Amazon Web Services new Region. Coming online in early 2019. Should be a tsunami of innovation activity. New networks. New people. We're meeting new people. Stay with us for more after this short break. (electronic music)
SUMMARY :
Brought to you by, Amazon Web Services. and the role of technology is It's a pleasure. So, what a great opportunity you have. of the Financial Services if the Financial Services And the women movement is phenomenal. I even got kicked out of my table because, but I'm happy to give my chair up. And some Coders mostly new to tech. Take a minute to explain about the group. The mission, what you It's a network of Professional women and be part of the growth And Teresa Carlson was sharing some and the most important And amplify and support each other. There's going to be a massive amount women that just, you know, And we're like hang on, we might, and call it a network where So you know, not to shy You now one of the And around the world. And content of the most important dynamics But also extracting I mean, you know, once we So it's all about the network as you said. that when you have this collaboration. are going to shepard the Not over playing the hand It's a balance between So you know, And you know, you need to gain with what you're doing. in Silicon Valley, Palo Alto, Share to the folks out and to invite more women to But you are also not FinTech hub for the region And he said, you know, and seeing all of this action, in the Private Sector It's decades of the women involvement. to be able to achieve that. And one of the things What's it like to be a woman in Bahrain? So, you know, it's something to be, Director of the EDB, And it's always been and liberal, if you will. in a very unique position, have to do. Well certainly our door's Just give the plug, talk about. And I look forward to, you know, and the impact of the Amazon
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Dalal Buhejji | PERSON | 0.99+ |
Teresa Carlson | PERSON | 0.99+ |
John Wood | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Bahrain | LOCATION | 0.99+ |
Jacqueline | PERSON | 0.99+ |
2019 | DATE | 0.99+ |
John Furrier | PERSON | 0.99+ |
Caroline | PERSON | 0.99+ |
Silicon Valley | LOCATION | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
China | LOCATION | 0.99+ |
EDB | ORGANIZATION | 0.99+ |
India | LOCATION | 0.99+ |
ORGANIZATION | 0.99+ | |
United States | LOCATION | 0.99+ |
Tala Fahkro | PERSON | 0.99+ |
Middle East | LOCATION | 0.99+ |
UK | LOCATION | 0.99+ |
early 2019 | DATE | 0.99+ |
Yesterday morning | DATE | 0.99+ |
first time | QUANTITY | 0.99+ |
FinTech | ORGANIZATION | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
ORGANIZATION | 0.99+ | |
one | QUANTITY | 0.99+ |
Dalal | PERSON | 0.99+ |
yesterday | DATE | 0.98+ |
a week ago | DATE | 0.98+ |
17 year old | QUANTITY | 0.98+ |
today | DATE | 0.98+ |
two months ago | DATE | 0.98+ |
FinTech Ecosystem | ORGANIZATION | 0.97+ |
US | LOCATION | 0.97+ |
decades | QUANTITY | 0.97+ |
ORGANIZATION | 0.97+ | |
@Furrier | PERSON | 0.97+ |
21 year old | QUANTITY | 0.96+ |
few years ago | DATE | 0.95+ |
first | QUANTITY | 0.95+ |
AWS Summit | EVENT | 0.93+ |
theCUBE | ORGANIZATION | 0.92+ |
Amazon Web Services Summit | EVENT | 0.91+ |
Economic Development Board | ORGANIZATION | 0.9+ |
Innovate Finance | ORGANIZATION | 0.89+ |
OpenSource Software | ORGANIZATION | 0.89+ |
Telegram | ORGANIZATION | 0.88+ |
Amazon Web Services Region | ORGANIZATION | 0.86+ |
Palo Alto | LOCATION | 0.86+ |
Teresa | PERSON | 0.83+ |
Women in FinTech Initiative | ORGANIZATION | 0.78+ |
Coders | ORGANIZATION | 0.77+ |
last two years | DATE | 0.76+ |
Dr Matt Wood, AWS | AWS Summit NYC 2018
live from New York it's the cube covering AWS summit New York 2018 hot GUI Amazon Web Services and its ecosystem partners hello and welcome back here live cube coverage in New York City for AWS Amazon Web Services summit 2018 I'm John Fourier with Jeff Rick here at the cube our next guest is dr. Matt wood general manager of artificial intelligence with Amazon Web Services keep alumnae been so busy for the past year and been on the cubanÃa thanks for coming back appreciate you spending the time so promotions keep on going on you got now general manager of the AI group AI operations ai automation machine learning offices a lot of big category of new things developing and a you guys have really taken AI and machine learning to a whole new level it's one of the key value propositions that you guys now have for not just a large enterprise but down to startups and developers so you know congratulations and what's the update oh well the update is this morning in the keynote I was lucky enough to introduce some new capabilities across our platform when it comes to machine learning our mission is that we want to be able to take machine learning and make it available to all developers we joke internally that we just want to we want to make machine learning boring we wanted to make it vanilla it's just it's another tool in the tool chest of any developer and any any data data scientist and we've done that this idea of taking technology that is traditionally only within reached a very very small number of well-funded organizations and making it as broadly distributed as possible we've done that pretty successfully with compute storage and databases and analytics and data warehousing and we want to do the exact same thing for the machine learning and to do that we have to kind of build an entirely new stack and we think of that stack in in three different tiers the bottom tier really for academics and researchers and data scientists we provide a wide range of frameworks open source programming libraries the developers and data scientists use to build neural networks and intelligence they're things like tend to flow and Apache mx9 and by torch and they're really they're very technical you can build you know arbitrarily sophisticated says most she open source to write mostly open source that's right we contribute a lot of our work back to MX net but we also contribute to buy torch and to tend to flow and there's big healthy open source projects growing up around you know all these popular frameworks plus more like chaos and gluon and horror boredom so that's a very very it's a key area for for researchers and academics the next level up we have machine learning platforms this is for developers and data scientists who have data they see in the clout although they want to move to the cloud quickly but they want to be able to use for modeling they want to be able to use it to build custom machine learning models and so here we try and remove as much of the undifferentiated heavy lifting associated with doing that as possible and this is really where sage maker fits in Cersei's maker allows developers to quickly fill train optimize and host their machine learning models and then at the top tier we have a set of AI services which are for application developers that don't want to get into the weeds they just want to get up and running really really quickly and so today we announced four new services really across those their middle tier in that top tier so for Sage maker we're very pleased to introduce a new streaming data protocol which allows you to take data straight from s3 and pump it straight into your algorithm and straight onto the computer infrastructure and what that means is you no longer have to copy data from s3 onto your computer infrastructure in order to be able to start training you just take away that step and just stream it right on there and it's an approach that we use inside sage maker for a lot of our built-in algorithms and it significantly increases the the speed of the algorithm and significantly of course decreases the cost of running the training because you pay by the second so any second you can save off it's a coffin for the customer and they also it helps the machine learn more that's right yeah you can put more data through it absolutely so you're no longer constrained by the amount of disk space you're not even constrained by the amount of memory on the instance you can just pump terabyte after terabyte after terabyte and we actually had another thing like talked about in the keynote this morning a new customer of ours snap who are routinely training on over 100 terabytes of image data using sage maker so you know the ability to be able to pump in lots of data is one of the keys to building successful machine learning applications so we brought that capability to everybody that's using tensorflow now you can just have your tensor flow model bring it to Sage maker do a little bit of wiring click a button and you were just start streaming your data to your tents upload what's the impact of the developer time speed I think it is it is the ability to be able to pump more data it is the decrease in time it takes to start the training but most importantly it decreases the training time all up so you'll see between a 10 and 25 percent decrease in training time some ways you can train more models or you can train more models per in the same unit time or you can just decrease the cost so it's a completely different way of thinking about how to train over large amounts of data we were doing it internally and now we're making it available for everybody through tej matrix that's the first thing the second thing that we're adding is the ability to be able to batch process and stage make them so stage maker used to be great at real-time predictions but there's a lot of use cases where you don't want to just make a one-off prediction you want to predict hundreds or thousands or even millions of things all at once so let's say you've got all of your sales information at the end of the month you want to use that to make a forecast for the next month you don't need to do that in real-time you need to do it once and then place the order and so we added batch transforms to Sage maker so you can pull in all of that data large amounts of data batch process it within a fully automated environment and then spin down the infrastructure and you're done it's a very very simple API anyone that uses a lambda function it's can take advantage of this again just dramatically decreasing the overhead and making it so much easier for everybody to take advantage of machine load and then at the top layer we had new capabilities for our AI services so we announced 12 new language pairs for our translation service and we announced new transcription so capability which allows us to take multi-channel audio such as might be recorded here but more commonly on contact centers just like you have a left channel on the right channel for stereo context centers often record the agent and the customer on the same track and today you can now pass that through our transcribed service long-form speech will split it up into the channels or automatically transcribe it will analyze all the timestamps and create just a single script and from there you can see what was being talked about you can check the topics automatically using comprehend or you can check the compliance did the agents say the words that they have to say for compliance reasons at some point during the conversation that's a material new capability for what's the top surface is being used obviously comprehend transcribe and barri of others you guys have put a lot of stuff out there all kinds of stuff what's the top sellers top use usage as a proxy for uptake you know I think I think we see a ton of we see a ton of adoption across all of these areas but where a lot of the momentum is growing right now is sage maker so if you look at a formula one they just chose Formula One racing they just chose AWS and sage maker as their machine learning platform the National Football League Major League Baseball today announcer they're you know re offering their relationship and their strategic partnership with AWS cream machine learning so all of these groups are using the data which just streams out of these these races all these games yeah and that can be the video or it can be the telemetry of the cars or the telemetry of the players and they're pumping that through Sage maker to drive more engaging experiences for their viewers so guys ok streaming this data is key this is a stage maker quickly this can do video yeah just get it all in all of it well you know we'd love data I would love to follow up on that so the question is is that when will sage maker overtake Aurora as the fastest growing product in history of Amazon because I predicted that reinvent that sage maker would go on err is it looking good right now I mean I sorta still on paper you guys are seeing is growing but see no eager give us an indicator well I mean I don't women breakout revenue per service but even the same excitement I'll say this the same excitement that I see Perseids maker now and the same opportunity and the same momentum it really really reminds me of AWS ten years ago it's the same sort of transformative democratizing approach to which really engages builders and I see the same level of the excitement as levels are super super high as well no super high in general reader pipe out there but I see the same level of enthusiasm and movement and the middle are building with it basically absolutely so what's this toy you have here I know we don't have a lot of time but this isn't you've got a little problem this is the world's first deep learning in April were on wireless video camera we thought it D blends we announced it and launched it at reinvent 2017 and actually hold that but they can hold it up to the camera it's a cute little device we modeled it after wall-e the Pixar movie and it is a HD video camera on the front here and in the base here we have a incredibly powerful custom piece of machine learning hardware so this can process over a billion machine learning operations per second you can take the video in real time you send it to the GPU on board and we'll just start processing the stream in real time so that's kind of interesting but the real value of this and why we designed it was we wanted to try and find a way for developers to get literally hands-on with machine learning so the way that build is a lifelong learners right they they love to learn they have an insatiable appetite for new information and new technologies and the way that they learn that is they experiment they start working and they kind of spin this flywheel where you try something out it works you fiddle with it it stops working you learn a little bit more and you want to go around around around that's been tried and tested for developers for four decades the challenge with machine learning is doing that is still very very difficult you need a label data you need to understand the algorithms it's just it's hard to do but with deep lens you can get up and running in ten minutes so it's connected back to the cloud it's good at about two stage makeup you can deploy a pre-built model down onto the device in ten minutes to do object detection we do some wacky visual effects with neural style transfer we do hot dog and no hot dog detection of course but the real value comes in that you can take any of those models tear them apart so sage maker start fiddling around with them and then immediately deploy them back down onto the camera and every developer on their desk has things that they can detect there are pens and cups and people whatever it is so they can very very quickly spin this flywheel where they're experimenting changing succeeding failing and just going round around a row that's for developers your target audience yes right okay and what are some of the things that have come out of it have you seen any cool yes evolutionary it has been incredibly gratifying and really humbling to see developers that have no machine learning experience take this out of the box and build some really wonderful projects one in really good example is exercise detection so you know when you're doing a workout they build a model which detects the exerciser there and then detects the reps of the weights that you're lifting now we saw skeletal mapping so you could map a person in 3d space using a simple camera we saw security features where you could put this on your door and then it would send you a text message if it didn't recognize who was in front of the door we saw one which was amazing which would read books aloud to kids so you would hold up the book and they would detect the text extract the text send the text to paly and then speak aloud for the kids so there's games as educational tools as little security gizmos one group even trained a dog detection model which detected individual species plug this into an enormous power pack and took it to the local dog park so they could test it out so it's all of this from from a cold start with know machine learning experience you having fun yes absolutely one of the great things about machine learning is you don't just get to work in one area you get to work in you get to work in Formula One and sports and you get to work in healthcare and you get to work in retail and and develop a tool in CTO is gonna love this chief toy officers chief toy officers I love it so I got to ask you so what's new in your world GM of AI audition intelligence what does that mean just quickly explain it for our our audience is that all the software I mean what specifically are you overseeing what's your purview within the realm of AWS yeah that's that's a totally fair question so my purview is I run the products for deep learning machine learning and artificial intelligence really across the AWS machine learning team so I get I have a lot of fingers in a lot of pies I get involved in the new products we're gonna go build out I get involved in helping grow usage of existing products I get it to do a lot of invention it spent a ton of time with customers but overall work with the rest of the team on setting the technical and pronto strategy for machine learning at AWS when what's your top priorities this year adoption uptake new product introductions and you guys don't stop it well we do sync we don't need to keep on introducing more and more things any high ground that you want to take what's what's the vision I didn't the vision is to is genuinely to continue to make it as easy as possible for developers to use Ruggiero my icon overstate the importance or the challenge so we're not at the point where you can just pull down some Python code and figure it out we're not even we don't have a JVM for machine learning where there's no there's no developer tools or debuggers there's very few visualizers so it's still very hard if you kind of think of it in computing terms we're still working in assembly language and you're seen learning so there's this wealth of opportunity ahead of us and the responsibility that I feel very strongly is to be able to continually in crew on the staff to continually bring new capabilities to mortar but well cloud has been disrupting IT operations AI ops with a calling in Silicon Valley and the venture circuit Auto ml as a term has been kicked around Auto automatic machine learning you got to train the machines with something data seems to be it strikes me about this compared to storage or compared to compute or compared to some of the core Amazon foundational products those are just better ways to do something they already existed this is not a better way to do something that are exists this is a way to get the democratization at the start of the process of the application of machine learning and artificial intelligence to a plethora of applications in these cases that is fundamentally yeah different in it just a step up in terms of totally agree the power to the hands of the people it's something which is very far as an area which is very fast moving and very fast growing but what's funny is it totally builds on top of the cloud and you really can't do machine learning in any meaningful production way unless you have a way that is cheap and easy to collect large amounts of data in a way which allows you to pull down high-performance computation at any scale that you need it and so through the cloud we've actually laid the foundations for machine learning going forwards and other things too coming oh yes that's a search as you guys announced the cloud highlights the power yet that it brings to these new capabilities solutely yeah and we get to build on them at AWS and at Amazon just like our customers do so osage make the runs on ec2 we wouldn't we won't be able to do sage maker without ec2 and you know in the fullness of time we see that you know the usage of machine learning could be as big if not bigger than the whole of the rest of AWS combined that's our aspiration dr. Matt would I wish we had more time to Chad loved shopping with you I'd love to do a whole nother segment on what you're doing with customers I know you guys are great customer focus as Andy always mentions when on the cube you guys listen to customers want to hear that maybe a reinvent will circle back sounds good congratulations on your success great to see you he showed it thanks off dr. Matt would here in the cube was dreaming all this data out to the Amazon Cloud is whether they be hosts all of our stuff of course it's the cube bringing you live action here in New York City for cube coverage of AWS summit 2018 in Manhattan we'll be back with more after this short break
SUMMARY :
amount of memory on the instance you can
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Jeff Rick | PERSON | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
John Fourier | PERSON | 0.99+ |
New York City | LOCATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
ten minutes | QUANTITY | 0.99+ |
Silicon Valley | LOCATION | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
10 | QUANTITY | 0.99+ |
Manhattan | LOCATION | 0.99+ |
hundreds | QUANTITY | 0.99+ |
Andy | PERSON | 0.99+ |
Matt Wood | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
New York City | LOCATION | 0.99+ |
25 percent | QUANTITY | 0.99+ |
ten minutes | QUANTITY | 0.99+ |
New York | LOCATION | 0.99+ |
second thing | QUANTITY | 0.99+ |
millions | QUANTITY | 0.99+ |
Pixar | ORGANIZATION | 0.99+ |
dr. Matt wood | PERSON | 0.99+ |
Python | TITLE | 0.99+ |
April | DATE | 0.99+ |
today | DATE | 0.99+ |
four decades | QUANTITY | 0.98+ |
terabyte | QUANTITY | 0.98+ |
over 100 terabytes | QUANTITY | 0.98+ |
Sage maker | ORGANIZATION | 0.98+ |
ten years ago | DATE | 0.97+ |
12 new language pairs | QUANTITY | 0.97+ |
next month | DATE | 0.97+ |
four new services | QUANTITY | 0.97+ |
first thing | QUANTITY | 0.96+ |
thousands | QUANTITY | 0.96+ |
s3 | TITLE | 0.95+ |
Aurora | TITLE | 0.95+ |
second | QUANTITY | 0.95+ |
one | QUANTITY | 0.95+ |
sage maker | ORGANIZATION | 0.94+ |
Formula One | TITLE | 0.94+ |
dr. Matt | PERSON | 0.93+ |
first deep learning | QUANTITY | 0.93+ |
ec2 | TITLE | 0.93+ |
AWS Summit | EVENT | 0.92+ |
single script | QUANTITY | 0.9+ |
a ton of time | QUANTITY | 0.9+ |
one of the keys | QUANTITY | 0.9+ |
this morning | DATE | 0.9+ |
MX net | ORGANIZATION | 0.89+ |
National Football League Major League Baseball | EVENT | 0.88+ |
Cersei | ORGANIZATION | 0.88+ |
sage maker | ORGANIZATION | 0.88+ |
year | DATE | 0.88+ |
reinvent 2017 | EVENT | 0.87+ |
three different tiers | QUANTITY | 0.87+ |
AWS summit 2018 | EVENT | 0.87+ |
cubanÃa | LOCATION | 0.86+ |
one area | QUANTITY | 0.86+ |
2018 | EVENT | 0.86+ |
dr. Matt | PERSON | 0.85+ |
Perseids | ORGANIZATION | 0.85+ |
about two stage | QUANTITY | 0.82+ |
lot of time | QUANTITY | 0.81+ |
Web Services summit 2018 | EVENT | 0.81+ |
this year | DATE | 0.8+ |
Apache | TITLE | 0.79+ |
over a billion machine learning operations per second | QUANTITY | 0.79+ |
Chad | PERSON | 0.79+ |
things | QUANTITY | 0.78+ |
lot of use cases | QUANTITY | 0.77+ |
a ton of | QUANTITY | 0.77+ |
lots of data | QUANTITY | 0.74+ |
CTO | TITLE | 0.73+ |
this morning | DATE | 0.72+ |
amounts of | QUANTITY | 0.71+ |
Sage maker | TITLE | 0.69+ |
TK Keanini, Cisco | AWS Summit NYC 2018
>> Live from New York, it's theCUBE, covering AWS Summit New York 2018. Brought to you by Amazon Web Services and its ecosystem partners. >> Hello, welcome back everyone. This is theCUBE live in New York City for AWS Amazon Web Services Summit 2018. I'm John Furrier with Jeff Frick here for wall-to-wall coverage here for the one day event. Our next guest is TK Keanini, distinguished engineer at Cisco. Great to have you on theCUBE. Thanks for joining us today. >> Thanks, great to be here. >> We had some chat on before they came on camera about protocols, deep-packet inspection, networking. I see Cisco now, moving up the stack. I'm sure, back in the day when you were there and recently, that's been the big debate for Sysco of the stack but the cloud has created a whole new stack, right, so a lot of action. Seems like the same movie from a couple generations ago happening out in real time at a much more accelerated rate, welcome to theCube, what's your toughs? >> Thank you so much, yeah, you know, anybody who's been in this business for the last 20-25 years, I always joke and say, you know, same circus, different clowns. You know, it's the same thing again and it's exciting because I mean, you saw the keynote, the people here, everybody's excited about doing develop on this new thing. It's got new economics, new scale, it's definitely got more security, I think, and yeah, we're just really moving aggressively with our customers towards the future. >> You know, TK, I want to get your thoughts 'cause one of the thing we've been saying on theCube, we've been covering Amazon reinvent since 2012, 2013 timeframe and so we've seen the growth but it's always been a developer haven, you know, cloud native, you were born in the cloud, like most startups were back in the day, you had great goodness and then you could become a drop box and be so big you had to do your own data so I get that but for the most part developers check small, medium sized businesses, check now large enterprises, great developers. Now, you're getting clear visibility on operators. So the confluence between operators of networks and infrastructure and IT operations merging together and having some synergy and cohesiveness with developers for applications, new work loads. What's your thoughts on that because this is really becoming the big ah-ha moment where I can now operate now at a level and have a developer haven going on, your thoughts? >> Yeah, no, so I think you heard it in the keynote today, security is everybody's problem, right? And it certainly is the developer's problem, it maybe even starts with the developer. You know, threat actors are clever, you could say that threat actors were the first to go cloud first and they're not ashamed of what they use, they're going to get what they want and so you know, the idea of providing security as a service to those developers is a new thing I will say. Usually I'm building product and service for the security expert. Now, it's this web app developer, right? And their first question to me is "where's the API?", right? "Where's my libraries", right? How can I treat you like I treat storage, like I treat networking? They don't want to grow up and become a networking expert, they just want to have their application scale and so that's the real focus is, understanding the customer and building that service at the highest quality. Much of the expertise, I have to mechanize inside of my algorithms and my machine learning but again, delivering them a service so that they can protect and become incredibly expensive for those threat actors to pursue. >> And the alternative in the old days was provision a lot of hardware, do a lot of configuration management, security audits, meeting, put up a perimeter, now you can create sets of services. >> Yeah, and a lot of automation, right? That's key. Like, you don't have enough people to test. You have to automate your tests. You don't have enough people to read over documents, you have to automate that acquisition. Everything's about augmentation and automation. Security, all aspects of security are following suit. >> Yeah. >> TK, I wonder, you talk a lot about the threat-act revolution, through some other interviews and that's really an recurring theme because it's kind of your way of saying how you have this kind of have this arms race but the other big thing that's happened in the threat act is that it's gone the hacker, maybe trying to cause a disruption to nation states and much more organize. Is that as evolved in the amount of resources that they now have to deploy versus just some stand alone hacker? Have have you seen that evolve, what are some of the responses? >> Yeah, I still get goosebumps thinking about it. 'Cause back when we started it was more like, you know, we were just sharing a craft, you know. It was a lot like amateur radio, you know? You broke into something, you shared that skill, not anymore. I mean these are real, a nation state, threat actors, criminals and they're running a real business, okay? >> Right. And if you do really good security, you're essentially adding to their cost of operation and they don't like that. So it is really a business against a business. And they think like a business. They're well resourced like a business, they're patient and sometimes you know, in certain cases going after the weak, in some cases they're incredibly targeted, they're coming after you because you are a center of excellence for that sector and it doesn't matter, you know, how high you build the wall. They're going to find a way to go under it (laughs) or go around it or find a way to declare no wall but yeah, it's fun because like I said, instead of waiting for something to fail, like a hard drive or you're just building IT systems for resiliency, in my world, these threat actors are talented. >> Right. Right? So everyday if intervene, I force them to intervene. If they intervene, they force me to intervene. That's funny you say they're running a business, so is that part of your defense is just increasing their cost of goods to hold in a major, major way? >> It really is, you know, we've seen a lot of trends shift. For instance, you know, Ransomware a little while ago, that was a big deal because you know, they'd hold your machine hostage, it'd cost you $200 maybe $300 to get out of it, okay? The problem with that is tomorrow their gig's up, okay? Now the shift has been to cryptomining or cryptojacking. If they compromise your machine and can get a quarter out of that machine just by doing Bitcoin mining, they will essentially make 25 cents tomorrow, so they've shifted to a recurring revenue stream, okay? This is important, okay? >> Right, right. >> Because tomorrow and the next day and the next day, they're still undetected, okay? And when I say about raising their cost of operations if you can find that cryptomining on your network, no matter where your network is and shut them down, you've just taken a little bit away from their recurring revenue stream, right? And that's the dynamics we're facing daily. >> Disruption is key. Making it complex and keeping disruption. >> Having more visibility than they do, having more detection than they do and basically knowing yourself better than they do. >> Right. >> Is absolutely critical. >> I want to hear your thoughts, TK, on a couple things. One observation is you know, during the Snowden era, you know, the mainstream population and world whether it's capital markets or IT, didn't talk much about "metadata", but then after Snowden, "metadata" became a big thing and we now know what metadata is and now obviously with the Russian involvement in the election, spearfishing is now, I mean its been out there, but you're seeing specifically what was done there with spearfishing, so easy to pull off. >> Yeah. >> How are we getting better at detecting, preventing, against the humans who just think oh hey, a job offer for you, or a real elegant bait and certainly with mobile, doesn't have that DNS visibility, mobile makes it easier to do some spearfishing. Spearfishing is a big deal. >> Yeah. >> Your thoughts on it? >> Yeah, and that's again, that big trend in shift is a long time ago, you know, we built security systems to watch for people breaking into networks. Today, the threat actors are logging into your network 'cause they've already gotten your credentials through some means, okay? So how do you detect somebody who's actually impersonating you on the network? The same sort of security bells are not going to ring. And this applies for a cloud or on pram, or anything. >> Right, right. >> It's the same game and really, you know, being able to do that detection from the telemetry that comes native from then environment is critical. >> And so really just more analytics, more telemetry, more instrumentation? >> It's not about the data, it really is about the analytics. I mean, yes the telemetry has to be necessary and sufficient but the analytical outcome has to be pointed at exactly that, you are trying to detect fraud, you are trying to detect. You know, it's like in the old days, if I gave you my general ledger, right, and you were an accountant, you would just be looking for errors. Okay, that's fine for operation but say you're trying to cath a crook. I hand you that same general ledger, you're going to come at it with a different pair of eyes. >> Right. >> A different mental model. You're trying to find the crook. >> Right. >> Who is actively hiding from you. That's the type of analytics we're focused on. >> So this is interesting, talk about machine learning, and AI could be assist you mention, automation, Stealthwatch Cloud is something that you've mentioned. What is that, what's going on around there, how do you get that lens to be turned on quickly in context? 'Cause real time is about contextual relevance. >> That's right. >> At any given moment you've got to be ready alert and looking for things. >> So the beauty of AWS is they can deploy in any one way. You can have your virtual servers, you can have the containerized, or you can be serverless. That's the thing, the cool kids are doing serverless, okay? >> Right, right. >> You have to provide the same level of threat analytics for all three, no matter what. The good news is, it's not about not having the data. AWS gives you a rich set of telemetry from many, many sources. What we do is first synthesize all that together, run our analytics on it and point out where you may be exposed or there are threat activities that's either, maybe even from the inside, not necessarily from the outside, you know, in your Snowden account but there's anonymous activity that requires attention. All of those things, all that developer wants to do is make sure that they you know, delivered to their customers. Business continuity. >> Right, right, yeah. >> They're not interested in security. >> TK, I've got to ask you the question around security around you know, can you see the papers, so you know, Pat Gelsinger, Cube alumni, now CEO of VMware, said on theCube, Dave Vellante co-host theCube, asked him years ago "is security a do-over with the cloud?". This was back when the cloud was being poo-pood as a security mod, oh it's not secure in the cloud, now it's looking damn good, right, so. >> And now it's more secure, I think, yeah. >> Now it's more secure, and yeah, that's pretty clear. >> Yeah. >> So there's a chance for people to get a mulligan, get a re-do, to rethink security. How do you engage conversations and how do you advise friends, colleagues, customers around if there's a chance to do security over, with a no-perimeter model, with a API microservices centric view. Whats the strategy, what's the architecture, what's the approach? >> Yeah, you know, I don't know, there's a couple of cases, it's not a one size fits all. We have a lot of successful businesses transitioning and they really can't turn their back on yesterday, you know, they have to bring that transition forward. >> Right. >> So there's that one crowd and they're going to have a different playbook because they have a set of skills and a set of things that are different. On the other end of the extreme, you have businesses that don't know on print, I mean, honestly, they were born in the cloud and their cloud made it. >> Yeah. >> And then you have most of everybody who is in between, you know, hybrid, multi-cloud, they're just doing, but functionally they're all trying to achieve the same thing which is, you're trying to get the elastic economics, you're tying to get parts of their business that elastic to that elastic compute, right? But all-in-all, the treat actor doesn't care whether they come in through your mobile device or through that cloud workload, they're after something very specific, which is, there's something in your organization, in your digital business that they want. >> So a couple of thing I want to follow up with. One is kind of the changing world of identity and security because of firewalls and you know, the walls have got to come down, they've got a lot of holes in them. You know, so much more focus on who are you? But to your point, oftentimes they're coming in as you, so the identity maybe not necessarily is a great way. >> That's right. >> Then you've got this other thing which is basically pattern detection, right, and online detection, right and we hear over and over that the average time to know that you've been breached is months and many, many days. So, how are you kind of factoring in those two things to do a better job? >> Yeah, and it is accretive, meaning there are net new ways of establishing identity. For instance, you know, if this thing is acting like a printer and its acted like a printer for the last ten years and one day that device gets up and starts checking out source code, that's a problem, (laughs) right? Okay, so there's all these sort of things around novelty and around the dimensions of novelty. It may be a volumetric novelty, it might be a protocol novelty, in serverless, I'll give you an example with serverless. We treat serverless as a first-class object, as if it actually was persistent and if it makes a very novel API call that it never did before, I think you should probably know about that. >> Yeah. >> If it starts to exfiltrate 20 gigs of data and never did that before, you probably should take a look at that, right? And these are all things from a DevOps standpoint, they want to know first, certainly. You know, there really is no excuse in cloud for you to be like "oh, I wouldn't have been able to know that", no, you can, 'cause it's all there. >> Right, right. >> And microservices in containers provide great value here. >> Incredible value, incredible value. And just again, that dynamic nature of that orchestration, you know, that orchestration brought us to basically a way where, you know, me as a developer, I used to know exactly where I was going to run and how long I was going to run and everything. I have no idea where my code runs anymore, right? And that's the case here and so security takes a completely different turn there because a lot of things that in your analytics were things that you needed to persist, those things are gone, everything's ephemeral now. So what if I wanted to run a report for ten years? Like what in that ten years stayed the same? Probably nothing, okay? So you actually have to use a lot of algorithms to say that heres a composite type of set of data features and if these things persist over time, it's kind of like the way humans work. >> Right, right. >> TK, great to have you on theCube, thanks for joining us, thanks for sharing your insight. Real quick, you're giving a talk for Cisco here? >> Yep. >> Which you're doing in a, working the hallway, give an update. >> Come join me at five o'clock, I think, it's going to be on self-launched clouds, so it will be a great talk. >> Self-launched cloud, again, thanks for coming out to Cisco Systems. >> Alright, thanks. >> And of course we're covering all the Cisco action at DevNet and Cisco Live just recently and DevNet create the cloud native portions of Cisco, and we're going to dissect TK here on theCube. Breaking it down, I'm John Furrier with Jeff Frick, stay with us, we'll be right back.
SUMMARY :
Brought to you by Amazon Web Services Great to have you on theCUBE. for Sysco of the stack always joke and say, you know, and be so big you had to do your own data Much of the expertise, I have to mechanize And the alternative in the old days was you have to automate that acquisition. is that it's gone the hacker, you know, we were just they're patient and sometimes you know, That's funny you say that was a big deal because you know, if you can find that Disruption is key. and basically knowing you know, the mainstream against the humans who just think oh hey, is a long time ago, you know, and really, you know, and you were an accountant, You're trying to find the crook. That's the type of how do you get that lens to be and looking for things. you can have the containerized, the outside, you know, see the papers, so you know, And now it's more Now it's more secure, and and how do you advise you know, they have to bring and they're going to And then you have most of because of firewalls and you know, the average time to know and around the dimensions of novelty. for you to be like And microservices in containers you know, that orchestration TK, great to have you on Which you're doing in it's going to be on self-launched clouds, thanks for coming out to Cisco Systems. and DevNet create the cloud
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Amazon Web Services | ORGANIZATION | 0.99+ |
Jeff Frick | PERSON | 0.99+ |
20 gigs | QUANTITY | 0.99+ |
Pat Gelsinger | PERSON | 0.99+ |
TK Keanini | PERSON | 0.99+ |
$200 | QUANTITY | 0.99+ |
ten years | QUANTITY | 0.99+ |
Dave Vellante | PERSON | 0.99+ |
Cisco | ORGANIZATION | 0.99+ |
ten years | QUANTITY | 0.99+ |
2013 | DATE | 0.99+ |
John Furrier | PERSON | 0.99+ |
Cube | ORGANIZATION | 0.99+ |
25 cents | QUANTITY | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
New York City | LOCATION | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
VMware | ORGANIZATION | 0.99+ |
John Furrier | PERSON | 0.99+ |
five o'clock | DATE | 0.99+ |
$300 | QUANTITY | 0.99+ |
tomorrow | DATE | 0.99+ |
New York | LOCATION | 0.99+ |
Today | DATE | 0.99+ |
One observation | QUANTITY | 0.99+ |
first question | QUANTITY | 0.99+ |
2012 | DATE | 0.99+ |
Sysco | ORGANIZATION | 0.98+ |
today | DATE | 0.98+ |
one day | QUANTITY | 0.98+ |
one way | QUANTITY | 0.98+ |
yesterday | DATE | 0.98+ |
Cisco Systems | ORGANIZATION | 0.98+ |
two things | QUANTITY | 0.98+ |
first | QUANTITY | 0.97+ |
next day | DATE | 0.97+ |
Snowden | PERSON | 0.97+ |
TK | PERSON | 0.96+ |
theCube | ORGANIZATION | 0.95+ |
AWS Summit New York 2018 | EVENT | 0.95+ |
Ransomware | ORGANIZATION | 0.94+ |
DevNet | ORGANIZATION | 0.94+ |
theCube | COMMERCIAL_ITEM | 0.92+ |
AWS Summit | EVENT | 0.9+ |
a quarter | QUANTITY | 0.9+ |
Stealthwatch | ORGANIZATION | 0.86+ |
one day event | QUANTITY | 0.86+ |
Amazon Web Services Summit 2018 | EVENT | 0.86+ |
three | QUANTITY | 0.86+ |
one | QUANTITY | 0.84+ |
2018 | EVENT | 0.83+ |
one crowd | QUANTITY | 0.82+ |
Snowden | LOCATION | 0.8+ |
years ago | DATE | 0.79+ |
NYC | LOCATION | 0.75+ |
threat act | TITLE | 0.74+ |
One | QUANTITY | 0.74+ |
years | QUANTITY | 0.71+ |
couple generations ago | DATE | 0.7+ |
Russian | OTHER | 0.68+ |
theCUBE | EVENT | 0.63+ |
couple | QUANTITY | 0.6+ |
class | QUANTITY | 0.59+ |
last 20-25 years | DATE | 0.55+ |
Live | EVENT | 0.54+ |
theCUBE | ORGANIZATION | 0.47+ |
last ten | DATE | 0.47+ |
Ben Golub, Storj | CUBEConversation, April 2018
(upbeat music) >> Hello there and welcome to a special Cube conversation here at The Cube's Palo Alto studios, I'm John Furrier. Join with me for this special Cube Conference, Stu Miniman with Wikibon and The Cube co-host as well just up at Amazon Web Services Summit. Stu, great to see you again. Our next guest is Ben Golub, who's the executive chairman and interim CEO of Storj, pronounced storage. So it's a really hot cryptocurrency, blockchain based storage solution. I should say decentralized storage, not necessarily cryptocurrency, but tokens are involved, encryption. Great to see you. >> Great to see you, it's good to be back. >> Formerly Docker CEO and now advising at Mayfield Fund as a venture partner and also interim CEO of a hot-- >> Yeah really exciting company. And I'm really excited to talk to you about it today. >> So let's just jump into it. So obviously the ICO craze is awesome and we've always speculated that the blockchain and the decentralized applications are coming is going to be the real action. But yet it's going to create efficiencies where there's inefficiencies. >> Sure. >> Venture capital is one of them and that's why the ICO craze is going. People are raising a boatload of money that they probably wouldn't have gotten that amount. >> Wouldn't have gotten, yeah no dilution, things like that. It's interesting yeah. >> So give us an update on Storj or storage. How much in ICO did they raised, whitepapers out there? It's peer to peer, give a quick, take a minute to explain what the company's doing. >> Yeah well I guess that I should probably start by saying that I think that blockchain is bigger than just cryptocurrency, and decentralized is bigger than blockchain, and Storj is primarily a decentralized storage company. So we're about decentralized apps and the whole thing would absolutely work even if we were just using dollars. But I think it does make it a whole lot more exciting. And so the company, kind of unique in the crypto space in that we actually had a running service that was providing real value, before we did the large token sale. And the token sale raised about $30 million. Fortunately they took about 10 of that in Ethereum and Bitcoin which rose up. So there's a good deal more than that in the bank account right now. >> John: Hopefully they converted to fiat currency. >> And then they converted to fiat along the way. >> It's at an all-time high of $20,000 right now. It's like $7,000, something like that. >> Yeah, so you know, didn't sell everything at the peak, but didn't sell at the-- >> Yeah, so we've been having many blockchain and crypto or token-based economic kind of things. But the real question is what's happening? Now we know the action's been on the infrastructure side. We look at all the top hedge funds, Polychain, amongst others. They love these deals because it's infrastructure. Is that where the action is and how are you guys looking at that because at the same time, there's a wave of decentralized applications also known as Dapps coming on. So there's a relationship going on between how fast the infrastructure can go, and then how applications are going to work with either on chain or off chain dynamics. >> Sure, sure. So maybe it would be helpful to give you a sense of what it is that we do. 'Cause I think that if you do that, then I think it makes sense in the context of decentralized infrastructure, decentralized apps, but also actually traditional infrastructure as well. I've always been searching for a company that I could describe at Thanksgiving. I've never succeeded, so I always end up saying that I'm in computers, and fixing somebody's printer. (laughing) But I guess if I were to describe Storj at Thanksgiving, I'd say it's basically the Airbnb of storage, or the Airbnb of disc drives. So Airbnb, people have lots of condos or vacation properties that aren't being used all the time, and so Airbnb brings them together with people who want to rent those, and they're the largest hotel company in the world, without owning a single property. And we're kind of doing the same thing with Storj, in that there is, first of all, this explosion in the amount of data that's getting created. It would fill a stack of CD-ROMs to Mars and back this year. Yet the price of cloud storage hasn't come down. And 90% of all the disc drives that are out there are only about 10% utilized. So seems like a problem that needs a solution. And that's what we've done. We've basically brought together a very large network of individuals and companies that have spare storage capacity and matched them up with people who need storage. The really cool aspect, there are many cool aspects about it, but one of them is that basically if you want to store on the Storj network, we take your file, you encrypt it, so we never hold the keys. You encrypt it, it's all scrambled up, we break it up into between 20 and 80 pieces, and we spread those out across 150,000 or so nodes that we have in our network. So it's super cheap, but it's also super secure. Great performance because the data's way out at the edge. And super available because there's no storm or power outage or idiot tripping over a power cord that can take out your storage. >> So, Ben, you touched on, first question I was going to ask, of course, trust and security. Storage I absolutely have to worry about, so it sounds like that's at the core, but there's a number of dynamics going on in the industry. Object storage was great, let's spread it out, let's make it more decentralized, but most of the core storage industry is speeds and feeds and latency's super important, and even when you start getting to distributed architecture, I worry about that latency. So what are kind of the use cases, what are some of the key customer issues? Is price a big piece of it? Or what solutions does Storj solve that others can't? >> I always said when I was at Cluster, which was a storage company that there were four things that mattered in storage. There's certainly price; there was security; as in I don't want anybody to be able to access it; there's availability, I never want to drop or lose files; and finally there's performance, how fast I can get it. And so for a huge range of use cases that involve files, basically everything that object storage is kind of used for today, the design of our system is actually much better because we've encrypted it locally and then spread it out, you really can't attack it. First of all, you'd have to figure out... So a would-be attacker who wanted to find one of your files in the storage network would have to figure out which of the 80 or the 20 nodes out of 150,000 it's located on. If they found one of those, and they got the small portion of the file that's there, they wouldn't be able to do anything with it 'cause it's encrypted. Even if they were somehow able to decrypt it by stealing the key from you, not from us... >> So encryption and immutability... >> And immutability, right. So you get all of that. So for the security piece, it's great. For the availability piece, I never lose a file. It's really, really good, because if you just look at the math, the chances that somehow... You can basically lose 10 out of 20 nodes and still be able to recover your files. And all of our nodes are run by different people, different power supply. >> So let's take a step back. How many nodes are on the network now, you said? >> 150,000 now, run by 70,000 farmers, is what we call them. They're not miners, 'cause they're not just solving that problem, they're just producing something of value. 70,000 farmers, and then we have on the network right now, over 50 petabytes of data, which is a really large amount, and yet, we don't run a single data center. >> Have you guys raised any venture at all, or is it all ICO proceeds? >> There was a small seed round that was done, before the ICO craze. But other than that, it's all-- >> And how many people are working on the company? >> 25. >> So you guys are a classic startup. The working product, how does that look now? Is it on the blockchain, is it off the chain, how's it working, Bitcoin? >> So I've described to you what the product does. So far nothing I've described to you involves blockchain. The way the economics work is that as a user, somebody who wants to store on our network, we quote a price in dollars. You can either pay us in dollars or in the Storj token, and as a farmer, you get compensated with a Storj token. And that's done, of course, using blockchain we're actually part of Ethereum. >> Is that ERC-20 token? >> ERC-20 token, yeah. There are also interesting things that we are working on using blockchain for things like you just mentioned, data integrity, so I can make sure that if I'm doing a snapshot of a database, and I want to make sure that it's exactly what it is, nobody can tamper with it, et cetera, then that's a perfect use of blockchain. But using blockchain for the stuff I was talking about before, like figuring out where the shards are and making sure that they're uptime and reliable, that's actually stuff where blockchain isn't the best answer. >> Ben, tell us a little bit about the customers that you find there, 'cause storage administrators, that role's been changing a lot, but the typical storage administrator, if you tell them, "Oh yeah, I'm doing some distributed thing, "somewhere else, and paying in crypto-currency," they'd be like, are you kidding me? I want this thing that I can lock and hold and guard with a gun. >> This is like anything else, there's an adoption curve, and right now it's clearly very much early adopters. And actually similarly to Docker and similar to the cloud in general, it's developers who are leading the way. Developers are saying, oh, wow, I can write to the storage network in the same way that I would have written to S3, only it's cheaper, for many use cases, more performing, and not centralized, so I'm not trusting one cloud provider. So for certain use cases, this is fantastic. >> Are there certain cloud native apps that you're finding have strong affinity here? >> Yeah, so basically what we have affinity with right now, and let's be clear, this is early days. I wouldn't recommend that people store their most sensitive data on this, but-- >> Not Oracle certified yet, is what you're saying? >> We're not Oracle certified, no. (laughing) Basically anything involving a large file that you're not writing to very frequently, but you're reading a lot, or that's getting read by lots of people around the world, we're a really good solution. It's one of the things I think I mentioned to you. So we've got 150,000 nodes. They're located in I think it's now 180 countries, and all over the U.S. So if you want to get your data close to the edge, the people who are consuming your data are really close to the edge, this is actually really good. And because it's spread across so many, you get the benefit of parallelism, so it's super fast, in addition to being super safe and super secure. >> How does it work for the farmers? Because we have video files, so we would love to spread our video files on the Storj network. So let's just say... >> I'd do a special deal for you, too, you know. >> Of course, yeah, get a little token action going on both sides, Cube coins. But the availability thing is concerning. Whose computers is it being stored on? Is it extra capacity? Is it servers? Is it people's home computers? What's the, is it that kind of model? >> Sure, so basically yeah, we, just as Airbnb measures reputation, we measure reputation, too. And so if you don't have a good reputation, certain characteristics, we won't send data to you. What it basically means is you've got to have dedicated hardware and a dedicated connection. So we do have people who are running things in their home, but it's not a laptop, it's not on your phone. But if you have a disc drive that's connected with reasonably high capacity and reasonably well connected, then you'll establish good reputation. But what we are seeing is we are seeing a lot of universities, a lot of small businesses, some data center operators who have spare capacity or just want to use us as like, be both a farmer and a user. So backup and get stuff on their capacity as a good idea. And interestingly enough, we also are getting a lot of people who were Bitcoin miners and bought equipment, which is good quality equipment, but there's such an arms race in doing that. >> So they abandoned, because it was too hard for them to get coins. >> It's too hard to make money, right, and very expensive, specialized equipment, and in our case, basically general high quality equipment works well. >> What's the profit model? How do the farmers make money? Take our Cube videos, as an example, so I'm paying you guys, and you're distributing those tokens? >> You're paying us and you're paying us either in dollars or tokens. And then farmers get compensated in tokens. Right now, about 60 cents on every dollar goes to farmers. And farmers get more storage based off of their reputation. We charge people based on both how much you're storing as well as how much bandwidth egress that you're doing, and we compensate farmers exactly the same way. >> It's handled through a consensus protocol that you guys have? >> Yeah, yeah, so the payment and assessing reputation we actually use good distributed blockchain as well there, right, so you're not counting on Storj to be in the middle there. Now, with the remaining 40 cents, which I think is actually the really interesting part, we keep some of that, we put some back into the network, but what I'm really excited about is that this is now a way for us to economically empower demand partners as well. The first thing we announced was FileZilla, but we have lots of other open source projects waiting in the wings, and we're happy to share with them. So as opposed to centralized cloud, where it's really hard to make money as an open source company, we're not an open source project in our case, right? We're happy if you're sending us users and data, to give you a really meaningful percentage. >> Any kind of freemium model you guys are playing with? I can imagine this being pretty interesting, because S3 democratized and lowered the cost barrier, obviously with cloud. >> S3 has been great for many things. >> How low are you in terms of the disruption? You guys are probably going to have to come in and undercut S3, is that the strategy? Or is that the price value? >> I think what I learned from my time in storage, is price is important but you have to be really safe and available and reliable, 'cause people's data is really important. But we looked across a pretty broad set of use cases, in comparing us to the traditional cloud providers we're probably a third. And we could go lower. What I think is really interesting in our case is that the economics just work really well. So from our perspective, if you're a farmer, you've already got, it's spare capacity, you don't need any more electricity to run this thing, you've got bandwidth, right? You don't need to hire any more people. So it's almost pure margin for a farmer, which is great for them. And so we can give economic value to farmers, we can give economic value to our customers, we can give economic value to partners. >> Any kind of economic models you can share in terms of what someone would make? Let's just say that I had this big music library that's not being used anymore, and I had a-- >> Well, as a customer of course, if you've got data that you want to store on our network, you'll save a lot of money, and it's probably a third of what you might pay. >> But is there any kind of, if I'm a farmer, I want to join the network? >> But if you're a farmer. >> How much am I going to make? >> It really depends on how much you're storing and how good your connection is, but as a farmer, I think you can make decent money. This could probably be I don't know off the top of my head, $20, $30 a month per drive, which isn't bad, and certainly much easier than making money-- >> So it kind of depends like the Airbnb model, depends how well you're using-- >> How well you're used. So some people earn less, some people earn more. And again, for most of the farmers, this is pure margin. >> Great, we got a couple back to back rooms, Stu. We should get some drives up there and get on board. We could pay for the cameras. >> And look, I think for videos, you guys would actually be a perfect use case with a lot of the stuff that's going to be coming out later this year. You get both storage and CDN like things for free, in the sense that because-- >> I'm really glad you brought that up, 'cause I want to ask you about Videocoin, 'cause Halsey Minor has Videocoin, another ICO, he raised $50 million. We covered that on Silicon Angle. But he's trying to democratize Acromi. Is that similar to what you guys are doing? >> I guess you could say yeah, we're further democratizing object storage, democratizing S3, but I think we can also democratize Acromi, we can democratize Isilon, there's certain other really exciting things that are-- >> What other services, you mentioned CDN, so it's not just storing the information, but that global dispersion, what does that enable? >> It used to be that people had a really big difference between archival which is slow, hard to get at, and CDN, right? And but actually, given the way that we're doing this thing, we can be pretty seamless. Pay archival for stuff that's staying in archival, but go up market if you're going to be having a lot of people read it. >> So I got to ask you about the, obviously, security. You're looking at it for additional services around redundancy, I can see that being a nice headroom for you. On a personal note, you've been involved in a lot of industry companies that have done very well, entrepreneurial success. >> Ben: Why am I doing this? (laughing) >> I can tell you're having fun. How could you not have fun, it's a whole 'nother generation of innovation, disruption coming, a whole 'nother price point. So what's it like, are you having fun? And if you could talk to your 22-year-old self right now, 'cause I wish I was 22 right now in this market-- >> Are you saying I'm not 22? >> How do you explain this? And when you go to parties, even in the Valley, and people say, "Man, you're crazy, it's a fricken' "scam out there," how do you explain to 'em this revolution? Because this is like a special, unique wave. How would you talk about that? >> Actually I describe it the same way to people in the Valley the same way that I described at the beginning, which is that blockchain is bigger than cryptocurrency, and decentralized is much bigger than blockchain. And Storj is first and foremost decentralized. It's about decentralized computing, decentralized storage, supporting decentralized apps, keeping the internet from ending up in the hands of just three people, three companies, which I think is really important. But also I feel very good that, to the extent that Storj does touch on cryptocurrency, that we've done it the right way. We had the service working first before we did the token sale. We raised what now appears to be a modest amount in the token sale, tried to be very transparent and at the forefront. >> You probably could've gotten more if you wanted to. >> Probably, right? But we were trying to be forefront in terms of governance and transparency, and I think that it'll probably be a good thing, just as it was kind of a good thing that the bubble burst in the late '90s and you got rid of a lot of such not great companies and not such great operators. I think that the current corrections, or whatever, in the crypto market I think will-- >> Like pets.com is gone, but DogeCoin still exists. (laughing) >> So I'm sure that somebody has a crypto base pets.com or webvan lurking in the wings somewhere. Kodak just did it. >> I got to ask you, you're super smart. You went to some really good schools, I think Princeton, Harvard Business School. So you got a good education, so I got to get your take on the whole token economics vision. 'Cause this is, if you look at outside the tech trends, there's actually new economic models that are coming out. Have you looked at token economics? New liquidity on the one side, you've got sovereignty, you've got consensus. These are not just tech issues, these are society issues. What's your vision around that? How are you viewing it? What's the upside? How is this shaping the future? >> Yeah, I think if you're a token network, you sort of have to have some central bank chops as well, right? And we actually have a central banker. >> John: So you have a chief economic officer? >> So we don't, no, we have an advisor-- >> John: Public policy. >> I actually had a degree in public policy at one point. But we need to think about the token supply in the same way you'd think about the money supply. We're backed by something real, so it's sort of like having currencies backed by gold. We need to make sure that the market grows and the network grows. And my fundamental belief is that the more the network grows, the more people use it, the more value that we're able to provide, that'll be good for token economics in the long run. In the short run, though, what we've done, is again, we price based off of dollars, and we compensate farmers based off the token based off of the spot price. So for farmers, we've tried to remove any need to worry about volatility or things like that. >> So I want your reaction-- >> Or the price. >> I've said on The Cube multiple times that in the old days of venture startups, the CTO was everything. You had to have a great CTO or VP of engineering and great senior executive team on the entrepreneurial team. Now it's almost like the chief economic officer is a critical piece, 'cause you've got public policy intersecting with economics. You've got new kinds of math that's not technical algorithm but it's kind of business algorithms. >> It is, business algorithms. Just like any economy, the money supply matters. And people's trust in that money matters. And the supply matters. All that stuff like that, and stability matters. So I think absolutely this new breed of network based token companies will have to worry about that, and probably should think about a chief economics officer, but it doesn't mean that you don't also have to have a great CTO and great technology, 'cause that's how you make the network valuable and grow. And one of the reasons that gave me both excitement and comfort about going to Storj is that the economic model works, fundamentally, even if the crypto's not there. >> John: 'Cause technology is decentralized. >> Decentralized storage makes sense even if you're buying and selling it with dollars or pounds or rubles, or whatever. >> Ben, great to see you, thanks for coming in and sharing the Ben Golub School of Economics, Public Policy for Tokens. You can give a class at Stanford on that soon, although that's the competition's school. >> Maybe, yes. Slightly different. We still like them. >> Great to see you, congratulations. Storj, pronounced storage. Great, successful ICO, hot startup, really, an example of the infrastructure opportunities of a new decentralized infrastructure that can be and will soon, we think, it will be critical infrastructure in a whole new way. Great to see you. >> Ben: Really good to see you, great to be back with you. >> It's the Cube Conversation, I'm John Furrier, Stu Miniman, thanks for watching. (upbeat music)
SUMMARY :
Stu, great to see you again. And I'm really excited to talk to you about it today. So obviously the ICO craze is awesome that they probably wouldn't have gotten that amount. It's interesting yeah. take a minute to explain what the company's doing. And so the company, kind of unique in the crypto space It's at an all-time high of $20,000 right now. looking at that because at the same time, there's a wave And 90% of all the disc drives that are out there number of dynamics going on in the industry. and then spread it out, you really can't attack it. So for the security piece, it's great. How many nodes are on the network now, you said? 70,000 farmers, and then we have on the network right now, before the ICO craze. Is it on the blockchain, is it off the chain, So I've described to you what the product does. isn't the best answer. that role's been changing a lot, but the typical storage network in the same way that I would have and let's be clear, this is early days. It's one of the things I think I mentioned to you. Because we have video files, so we would love to But the availability thing is concerning. And so if you don't have a good reputation, So they abandoned, because it was too hard for them It's too hard to make money, right, and very expensive, and we compensate farmers exactly the same way. to give you a really meaningful percentage. Any kind of freemium model you guys are playing with? is that the economics just work really well. data that you want to store on our network, I think you can make decent money. And again, for most of the farmers, this is pure margin. We could pay for the cameras. And look, I think for videos, you guys would actually Is that similar to what you guys are doing? And but actually, given the way that we're doing So I got to ask you about the, obviously, security. And if you could talk to your 22-year-old self right now, And when you go to parties, even in the Valley, Actually I describe it the same way to people that the bubble burst in the late '90s and you Like pets.com is gone, but DogeCoin still exists. So I'm sure that somebody has a crypto base So you got a good education, so I got to get your take And we actually have a central banker. And my fundamental belief is that the more and great senior executive team on the entrepreneurial team. but it doesn't mean that you don't also have to Decentralized storage makes sense even if you're and sharing the Ben Golub School of Economics, We still like them. an example of the infrastructure opportunities It's the Cube Conversation, I'm John Furrier,
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Ben Golub | PERSON | 0.99+ |
$7,000 | QUANTITY | 0.99+ |
$20,000 | QUANTITY | 0.99+ |
$20 | QUANTITY | 0.99+ |
John | PERSON | 0.99+ |
Stu Miniman | PERSON | 0.99+ |
three companies | QUANTITY | 0.99+ |
10 | QUANTITY | 0.99+ |
John Furrier | PERSON | 0.99+ |
Ben | PERSON | 0.99+ |
April 2018 | DATE | 0.99+ |
90% | QUANTITY | 0.99+ |
70,000 farmers | QUANTITY | 0.99+ |
Mayfield Fund | ORGANIZATION | 0.99+ |
20 nodes | QUANTITY | 0.99+ |
Airbnb | ORGANIZATION | 0.99+ |
40 cents | QUANTITY | 0.99+ |
22-year | QUANTITY | 0.99+ |
$50 million | QUANTITY | 0.99+ |
Harvard Business School | ORGANIZATION | 0.99+ |
Stu | PERSON | 0.99+ |
22 | QUANTITY | 0.99+ |
Oracle | ORGANIZATION | 0.99+ |
80 pieces | QUANTITY | 0.99+ |
three people | QUANTITY | 0.99+ |
180 countries | QUANTITY | 0.99+ |
about $30 million | QUANTITY | 0.99+ |
150,000 | QUANTITY | 0.99+ |
first | QUANTITY | 0.99+ |
Mars | LOCATION | 0.99+ |
first question | QUANTITY | 0.98+ |
Storj | ORGANIZATION | 0.98+ |
both sides | QUANTITY | 0.98+ |
80 | QUANTITY | 0.98+ |
over 50 petabytes | QUANTITY | 0.98+ |
Palo Alto | LOCATION | 0.98+ |
this year | DATE | 0.98+ |
U.S. | LOCATION | 0.98+ |
late '90s | DATE | 0.98+ |
one | QUANTITY | 0.98+ |
both | QUANTITY | 0.98+ |
later this year | DATE | 0.98+ |
Thanksgiving | EVENT | 0.98+ |
Cluster | ORGANIZATION | 0.97+ |
Halsey Minor | PERSON | 0.97+ |
about 60 cents | QUANTITY | 0.97+ |
Storj | PERSON | 0.97+ |
third | QUANTITY | 0.97+ |
about 10% | QUANTITY | 0.97+ |
S3 | TITLE | 0.97+ |
Videocoin | ORGANIZATION | 0.96+ |
First | QUANTITY | 0.96+ |
The Cube | ORGANIZATION | 0.96+ |
20 | QUANTITY | 0.96+ |
Amazon Web Services Summit | EVENT | 0.96+ |
one point | QUANTITY | 0.96+ |
Princeton | ORGANIZATION | 0.94+ |
150,000 nodes | QUANTITY | 0.94+ |
single property | QUANTITY | 0.94+ |
single data center | QUANTITY | 0.94+ |
Kodak | ORGANIZATION | 0.94+ |
today | DATE | 0.93+ |
about 10 | QUANTITY | 0.93+ |
Karthik Rau & Arijit Mukherji, SignalFx | 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. (upbeat techno music) >> Hey, welcome back, everyone. We're live here in San Francisco. This is theCUBE's exclusive coverage of AWS Amazon Web Services Summit 2018 with my co-host Stu Miniman. We have two great guests. Hot startup from SingleFx, the CEO, Karthik Rau, and the CTO, Arijit Mukherji. Welcome to theCUBE. Good to see you again. >> Karthik: Yeah, great to see you again. Thanks for having us. >> So, we've been following you guys. You've been out five years. Two years in stealth, three years ago you launched on theCUBE. >> Karthik: Right here on theCUBE. >> We see you at AWS and VMware. Cloud's changed a lot. So, let's get an update. Karthik, take a minute to explain where you guys are at now company-wise, employees, traction momentum, product. Where are you guys at now? >> Karthik: Yeah, absolutely. So, SignalFx, first of all, let me tell you what we do. SignalFx is a realtime streaming operational intelligence solution. Basically, what that means is we collect monitoring data, operational data across the entire cloud environment, from the infrastructure all the way up to the applications. And we apply realtime analytics on that data to help people be a lot more proactive in their monitoring of these distributed environments. We launched the company in 2015. We come ... I'll let Arijit talk about our origins. We came out of Facebook. And we had a lot of experience building this to Facebook. In the past three years, we've been building up our company aggressively. We've now got hundreds of customers including several large Fortune 500 accounts, large web scale accounts like Acquia and HubSpot and Yelp and KAYAK. And we're over 100 employees now, about 120 employees. And yeah, doing great. >> So, Werner Vogels, the CTO, laid out on stage plus a great Matt Wood conversation about machine learning but the real thing that Werner laid out was the old way, the web server, multi-tier architecture stack kind of thing going on there to a more cloud DevOps horizontally scalable where sets of servers that could be spawned in parallel creates a new kind of operating model but also creates challenges around what to instrument. You know, as we would joke, someone left the lights on, implying EC2s been running. And all these kinds of things are going on. And you mentioned some of the Facebook kind of challenges. People were building their own scale. What have you guys learned and how does that apply today's modern infrastructure? What are some of the threshold challenges that companies are facing when they say, one, already there or I want to get there? How do you guys look at the main issues? >> Karthik: Do you want to take that? >> Yeah, so monitoring modern environments and infrastructure is actually quite a challenge. There's obviously a few things going around. One, as you mentioned, is the variety, the sheer variety of things. No longer just the three-tier architecture I have cloud services. I have containers. I have lambdas. I have my own applications. I have the cloud infrastructure itself that all needs to be monitored. And things are also becoming far more numerous. So, there's just many more of everything, right? And so, making sense of that space is becoming a big challenge. And our company was founded on the idea that monitoring is becoming an analytics problem. So, it's no longer about looking at individual servers or applications instances. It's more about making sense holistically over what's going on and being able to combine different types of data from different systems together to provide you with that high level view and that's the kind of functionality that we at SignalFx have been trying to provide. >> What are some of the data flows volumes look like. Cause I've heard multiple people talk about either Facebook or in open compute environments where there's just so much data coming in from the instrumentation that no human could actually get their arms around it. And you need to supplement it with machine learning and intelligence. I mean, is that something that you're seeing? What are some of the -- >> Yes, so actually what we see is different prospects or customers will be in different stages of a spectrum where maybe they were in a stage one where they're sort of using traditional architectures and then moving to these more modern systems. And as they get more modernized themselves, their use cases or the ways they wanted to do monitoring also gets more advanced. And so, we see the whole spectrum of it, as you mentioned. And so, understanding analytically how what we're is doing is great. But then you also want to take the human out of things as much as possible, right? >> Yeah. >> And make things more automated. And you want to look at the data and how things are behaving to learn from existing patterns to find outlines. So, that's really a very interesting challenge. And what I look at what we can do as a company going forward, like all the technological stuff that we can invest in, it's quite interesting. >> Yeah, Karthik, take us inside your customers. How does this modern monitoring, how does it change their business? How does it impact things like feedback loops and DevOps and everything that customers are having to deal in this kind of ever changing environment? >> Yeah, well I'll give you an example. There's a Fortune 500 company. They do product launches. And this is one of our customers and their product launches drive so much traffic that they do 80% of their business in the first two minutes of a product launch. And this is not at all uncommon in today's economy. And they're leveraging a lot of modern technologies, container architectures, serverless function architectures to spin up a bunch of capacity during these launches. And they were effectively flying blind most of the time. Because most of the traditional systems management monitoring solutions are not designed, A, to handle that volume. But, B, to handle the instant discovery requirements of if you're going to do 80% of your business in the first two minutes. So, the challenge is you're always playing defense. You're reacting to issues. And you're mostly flying blind. By leveraging SignalFx, they're getting realtime visibility, realtime discovery of these components as they're coming up. We're the only solution that can do that. So, literally within seconds of spinning up all of these containers, they're getting live streams into their dashboards, and live analytics, and live alerts. And what that's enabled them to do is be a lot more aggressive and effectively doing a lot more of these launches. So, that's driving their business and it's helping them drive their digital strategy forward. >> And microservices is really enabling you guys to be more relevant. Because truly the signal from the noise is where all these services reporting to? >> Karthik: Yeah. >> You talk about container madness. >> Karthik: There are two fundamental problems. So, one there's an architecture shift. And that's driving massive amounts of volume. You have physical machines that will live for three years in a data center. Divide it up into VMs, 10, 20 VMs per server. That'll maybe live for a few months. To now every process running in it's own container that might live for a few minutes. So, you have a massive exponential explosion in the number of components. But that's not the only problem. I was part of an architectural shift at VMware for a number of years. We weren't just affecting an architecture change. What's happening now is there's a cultural change and a process change that's happening as well. Because with containers, your development team can push changes directly out into a production environment. And what you're finding is you're going from sequential product development to parallel product development and a massive exponential increase in the number of code pushes. The only way you can operationalize that is you have to have realtime visibility in everything that's happening. Otherwise, the left arm doesn't know what the right arm is doing. >> John: And you need prescriptive and predictive analytics. >> Exactly. And you need predictive analytics to identify there's something unusual here. It's not a problem yet. But this is highly unusual and maybe it's your canary release. We need to do a code push. So, you want to roll it back. So, having that level of predictiveness becomes absolutely critical. >> Yeah, you mentioned realtime. We used to argue what really is realtime. And it was usually well in time to react to what the customer needs. What does realtime mean to your customers? Architecturally, is there something you do different to kind of understand what that means? >> Arijit: Yeah, so we actually fundamentally took a very different approach when we build a product. Where, typically, monitoring our metrics, monitoring was done with what we call a store and create or a batch-like architecture where you store all the data points that are coming in, then you create from it to any other use cases. While what we build at SignalFx is a fully end-to-end streaming architecture which is realtime. And what we mean by realtime is like two to three seconds between a data point coming through us and it's firing an alert or showing up in your chart. So, that's the kind of realtime. And it requires us to do lots of innovations up and down the stack. And we've built a lot of IP. We've got now patterns. And more are coming because the approach we took was quite novel. Different from-- >> John: You guys got a great management team. And looking at what you guys have done. I've been impressed with you guys. I want to just ask, Karthik, you mentioned about all these parallel processes that are going on. Totally agree. The process change, operationalizing an all new cultural way to create software manage the data. I mean, it really is the perfect storm for innovation. But also, it could literally screw people up. So, I got to ask you, who are you targeting for your customer? Who is the person that you talk to? Assuming it's kind of DevOps, so it's more like a cloud architect. Who do you target? Who do you sell to? Who's the buyer? Who uses your service? >> Karthik: Well, we see ... Every enterprise we see following a very similar journey. So, the first stage is, typically, you're just getting familiar with cloud. And you're probably just lifting and shifting enterprise workloads into the cloud. Probably experimenting with big data on the cloud. You're not yet doing microservices or containers or DevOps. And for them, we're still selling largely to classic IT. There just trying to get better visibility into their digital environment, you know, they're cloud environment. But then, what ends up happening is they very quickly get to what we call basically chaos. It's stage two. And it has a lot of parallels to shadow IT. What happened with SAS, where you have hundreds of different SAS tools is happening all over again with cloud but you've got hundreds or thousands of different operational tools. Different ways of doing monitoring, logging, security. And every team is doing it's own thing. And so, that's a big problem for enterprises who are trying to build best practices across their broader team. In that place, we're typically selling to departments because they don't have a centralize strategy yet. But what we find is the organizations at maturity have figured out that it's important to have certain centralized core services. And that doesn't mean they're forced on the end users. But they provide best practices around monitoring, logging, and such. And just make it easy for them to use those solutions. So, that's almost a new IT organization. It's platform engineering -- >> John: Is that a cloud architect? >> Platform engineering team, infrastructure engineering team, and they are effectively building best practices around the new stack not the traditional stack. >> So, you are or aren't targeting department level? Are you are? >> We sell to departments. But we also sell to the teams that are standardizing across the entire organization. >> So, cloud architects, for instance? >> Depends on the stage of the cloud journey. >> Or company. >> And the company, exactly. >> From an architectural standpoint, you talked that there's virtualization, there's containers, now serverless. How do you even figure out what to monitor in serverless? How fast is that changing? And how is that impacting your road map? >> So, serverless brings a very interesting challenge because they are very, very ephemeral. Like they're ephemeral in some sense. So, we realize there are two things. One is serverless, there's a reason why things are moving faster. It's because you want to be able to move faster. But then you also need to be able to monitor faster. It's no good monitoring serverless at five minutes later, for example. So, one of the things we invested in was how to get metrics, etc. and telemetry from these serverless environments in a very fast fashion. And that's something that we've done. The second thing we are doing that really works for this environment is afterall it's not about how many times a serverless function ran, it's about the value that it's providing the application that's running on it. And by focusing on a platform that let's you send these application metrics in great detail and then be able to monitor and analyze them, I think really amplifies the value in some sense. So, those are the two ... >> John: And talk about the ecosystems. One of the things I want to ask you guys because we've been seeing a collision between a lot of the different clouds. Clients want multicloud. Well, obviously, we're here at Amazon. They believe they should be the only cloud. But I think most customers would look at either legacy systems with some instrumentation and operational data to edge of the network, for instance. I mean, look at the edge of the network. That's just an extension of the data center depending on how you look at it. So, how do you guys view that kind of direction where customer says, "Hey, you know, I got a cloud architect. We're on Amazon. Of course, we have some old Microsoft stuff. So, we've got Azure going up there. We're kicking the tires on Google. And I got this whole IoT Edge project. SignalFx, instrument that for me. (laughs) Is that what you do? Or how do you deal with that? How would you deal with that kind of conversation? >> Well, I think most enterprises, the larger companies we see looking at multiple clouds. And they have different workloads running in different clouds, depending on the needs and what they're looking to do. So, the nice thing about a solution like SignalFx is we span all of these different architectures. And what we find is that most of the larger companies want to separate their business process solutions from their runtime architectures. Because they want to have a solution like SignalFx that it doesn't matter who you're using. If you choose to have your analytics intensive workloads in Google Cloud and your eCommerce workloads in Amazon, but you only want one system that will page someone in the middle of the night if there's a problem, then you have SignalFx to do that. And then you have your choice of runtime environments depending on what your developers need or what the business demands. We provide a lot of that glue across the different environments. >> Do you see that as the preferred architecture with most customers? Cause that makes a lot of sense. I mean, whether you're doing other data services, it kind of makes sense to separate out. Is that consistent? >> To have different applications >> Yeah. >> In different clouds? It depends. I mean, I think we see some people who are more comfortable running on a single cloud vendor and they make the decision based on what a portfolio of platforms and service features that are available. And they really like those, and they say it's easy to just go with one. But more often, we find people wanting to at least have some percentage running in a different cloud vendor. >> John: All right, final question. What's the secret sauce for the company? Tell us about the secret sauce. >> Arijit: I think-- >> We got the patents. I heard patents. You don't have to show all this exactly. But what is the secret DNA of the tech? What's the magic? >> I think it's our very unique architecture. It's entirely different from what you have. It's streaming and it focuses on scale, on timeliness, as well as on analytics capability. I think that unique combination is very special for us. And that, in a way, sort of allows us to address very, very different use cases, including this hybrid environments and what not, in a very effective way. So, it's a very, very powerful platform that can be used for many use cases. >> All right, so that was John's final question. Karthik, I've got one last one for you. What's it like being a CEO of a software company in the cloud era today compared to what it's been earlier in our career? >> Well, it's moving very, very quickly, right? I mean, technology always move very quickly. But I think compared to when I was at VMware in the mid 2000s, it just feels like every 18 months there's a new technology wave. You know, when we started our company five years ago, that was the first year that AWS eclipsed a billion dollars in sales and Dagra hadn't even launched. It launched a month after we started the company. And then serverless came. And now function architecture is all there. So, there's just so much change happening, and it's happening so quickly, it forces vendors like us to really be on the cutting edge and forward looking and making sure that you're keeping an eye out for what's coming cause the markets are moving way faster, I think, then they were 15 years ago. >> John: Well, Karthik, thanks so much. We appreciate you guys coming on, SignalFx. I'll give you the final word on the interview. Take a minute to share something with the audience that they might not know about SignalFx that they should know about. >> Well, I think what people may not realize is how realtime we can actually get. I think most people are used to doing all their monitoring and observation, and they think of realtime in the order of minutes, or if you can get stuff every 30 seconds. We really are the only realtime solution. That's why we say real realtime. We're on the order of seconds. You can build really, really sophisticated analytics and get visibility like you can't anywhere else. So, it's real, realtime. >> And that's soon to be table stakes. TheCUBE is realtime. We're live right here, on theCUBE here, in San Francisco at Amazon Web Services, AWS Summit 2018. We've been covering all the Amazon re:Invents since it started, of course. I'm John Furrier with Stu Miniman. Back with more live coverage after this short break. (upbeat techno music) (gentle instrumental music)
SUMMARY :
Brought to you by Amazon Web Services. Good to see you again. Karthik: Yeah, great to see you again. So, we've been following you guys. explain where you guys are at now on that data to help people And you mentioned some of the and that's the kind of functionality And you need to supplement it But then you also want to And you want to look at and DevOps and everything that customers Because most of the really enabling you guys You talk about But that's not the only problem. John: And you need prescriptive And you need predictive analytics to react to what the customer needs. So, that's the kind of realtime. Who is the person that you talk to? So, the first stage is, typically, the traditional stack. across the entire organization. of the cloud journey. And how is that impacting your road map? So, one of the things we invested in One of the things I want to ask you guys And then you have your choice it kind of makes sense to separate out. And they really like those, for the company? We got the patents. from what you have. in the cloud era today But I think compared to We appreciate you guys We're on the order of seconds. And that's soon to be table stakes.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Karthik | PERSON | 0.99+ |
John | PERSON | 0.99+ |
2015 | DATE | 0.99+ |
Karthik Rau | PERSON | 0.99+ |
Arijit | PERSON | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
Arijit Mukherji | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
80% | QUANTITY | 0.99+ |
Stu Miniman | PERSON | 0.99+ |
Matt Wood | PERSON | 0.99+ |
10 | QUANTITY | 0.99+ |
John Furrier | PERSON | 0.99+ |
hundreds | QUANTITY | 0.99+ |
San Francisco | LOCATION | 0.99+ |
five years | QUANTITY | 0.99+ |
Acquia | ORGANIZATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
two things | QUANTITY | 0.99+ |
Werner Vogels | PERSON | 0.99+ |
HubSpot | ORGANIZATION | 0.99+ |
two | QUANTITY | 0.99+ |
ORGANIZATION | 0.99+ | |
three years | QUANTITY | 0.99+ |
One | QUANTITY | 0.99+ |
Yelp | ORGANIZATION | 0.99+ |
one | QUANTITY | 0.99+ |
ORGANIZATION | 0.99+ | |
SignalFx | ORGANIZATION | 0.99+ |
first two minutes | QUANTITY | 0.99+ |
Werner | PERSON | 0.99+ |
second thing | QUANTITY | 0.99+ |
five years ago | DATE | 0.99+ |
three seconds | QUANTITY | 0.99+ |
three years ago | DATE | 0.99+ |
KAYAK | ORGANIZATION | 0.99+ |
Moscone Center | LOCATION | 0.98+ |
over 100 employees | QUANTITY | 0.98+ |
about 120 employees | QUANTITY | 0.98+ |
two fundamental problems | QUANTITY | 0.98+ |
mid 2000s | DATE | 0.98+ |
Two years | QUANTITY | 0.98+ |
15 years ago | DATE | 0.98+ |
three-tier | QUANTITY | 0.98+ |
first stage | QUANTITY | 0.97+ |
20 VMs | QUANTITY | 0.97+ |
VMware | ORGANIZATION | 0.97+ |
AWS Summit 2018 | EVENT | 0.96+ |
SingleFx | ORGANIZATION | 0.95+ |
thousands | QUANTITY | 0.94+ |
SAS | ORGANIZATION | 0.94+ |
today | DATE | 0.93+ |
Dagra | ORGANIZATION | 0.93+ |
first year | QUANTITY | 0.93+ |
Azure | TITLE | 0.92+ |
SignalFx | TITLE | 0.91+ |
five minutes later | DATE | 0.9+ |
Amazon Web Services Summit 2018 | EVENT | 0.9+ |
stage two | QUANTITY | 0.89+ |
one system | QUANTITY | 0.89+ |
Corey Quinn, Last Week in AWS | AWS Summit SF 2018
>> Announcer: Live from the Moscone Center, it's The Cube covering AWS Summit San Francisco 2018. Brought to you by Amazon Web Services. >> Welcome back to our exclusive Cube coverage here at AWS, Amazon Web Services Summit 2018 in San Francisco. I'm John Furrier with my cohost, Stu Miniman. We have a special guest. We have an influencer, authority figure on AWS, Corey Quinn, editor of Last Week in AWS, also has got a podcast called Screaming, >> Corey: In the Cloud. >> Screaminginthecloud.com just launched. Corey, great to have you on. Thanks for joining us. >> No, thank you for letting me indulge my ongoing love affair with the sound of my own voice. (laughing) >> Well we love to have you on and again, love the commentary on the keynote on Twitter. Lot of action, we were in the front row, kind of getting all the scene. Okay, if you're going to write the newsletter next week for what happened this week, if this week was last week, next week, what's your take on this? Because again, Amazon keeps pounding the freight train that's just the cadence of AWF announcements. But they're laying it out clear. They're putting up the numbers. They're putting out the architecture. They're putting out machine learning. It's more than developers right now. What's your analysis, what's your take of what's happening this week? >> I think that certain trends are continuing to evolve that we've seen before where it used to be that if you're picking an entire technology that you're going to bet your business on, what you're going to build on next. It used to be which vendor do I pick, which software do I pick? Now even staying purely within the AWS ecosystem, that question still continues to grow. Oh so I want to use a database, great. I have 12 of them that I can choose between. And whatever I pick, the consensus is unanimous, I'm wrong. So there needs to be, I still think there needs to be some thoughtful analysis done as far as are these services solving different problems. If so, what are the differentiating points? Right now, I think the consensus emerges that when you look into a product or service offering from AWS, the first reaction all of us feel is to some extent confusion. I'm lost, I'm scared. I don't really know what's going on. And whatever I'm about to do, I feel like I'm about to do it badly. >> Yes, scale is the big point. I want to get your reaction. Matt Wood, Dr. Matt Wood, Cube alum, been on many times, he nailed it I thought when he said, look it, machine learning and data analysis was on megabytes and gigabytes, they're offering petaflop level compute, high performance, and then Werner Vogels has also said something around the services where, you can open things up in parallel scale. So, what's your reaction to that, as you look at that and say whoa, I've got a set of services I can launch in parallel, and the scale of leveraging that petaflops. I mean, this is kind of like the new, you know, compute model. Your reaction is it real? Are customers ready for it? Where are we in that evolutionary customer journey? Are they still cavemen trying to figure out how to make fire and make the wheel? I mean where are we with this? >> I think that we see the same thing continuing to emerge as far as patterns go, where they talk about, yes there's this service. Just start using it and it scales forever. And that's great in theory, but in practice, all of the demos, all of the quick starts, all of the examples, paint by numbers examples that they'll give you, tend to be at very small scale. And yes, it works really well when you have effectively five instances all playing together. When you have 5,000 of those instances, a lot of sharp edges start to emerge. Scale becomes a problem. Fail overs take far longer. And let's not even talk about what the bill does at that point. Additionally once you're at that point, it's very difficult to change course. If I write a silly blog, and effectively baby seals get more hits than this thing does, it's not that difficult for me to migrate that. Whereas if I'm dealing with large scale production traffic that's earning me money on a permanent basis, moving that is no longer trivial or in some cases feasible at all. >> Yeah Corey, how does anybody reasonably make a decision as to how they're going to build something because tomorrow, everything might change. You said oh okay great, I had my environment and I kind of you know, built my architecture a certain way, oh wait there's a new container service. Oh, and start building a, oh wait now there's the orchestrated version of that that I need to change to. Oh wait, now there's a serverless built way that kind of does it in a similar way. So you know, it seems like it used to be the best time to do things would've been two months ago, but now I should do it now. Now the answer is, the best time for me to do things would be if I could wait another quarter, but really I have to get started now. >> I tend to put as much on future Corey as I possibly can. The problem is that at one time I could've sat here and said the same thing to you about, oh virtualization is the way to go. You should migrate your existing bare metal servers there. And then from virtualization to Cloud and Cloud to containers. Then containers to serverless. And this narrative doesn't ever change. It's oh what you're doing is terrible and broken. The lords of thought have decried that now it's time to do this differently, and that's great, but what's the business use case for doing it? Well, we did this thing that effectively people get on stage at keynotes and make fun of us for now, so we should really change it. Okay maybe, but why? Is there a business value driving that decision? And I think that gets lost in the weeds of the new shiny conference ware that gets trotted out. >> Well I mean Amazon's not, I mean they're being pretty forthright. I mean, you can't deny what Intuit put out there today. The Intuit head of machine learning and data science laid out old way, new way. Classic case of old way, new way. Eight months, six to eight months, ton of cluster, you-know-what going on as things changed it. They're just data scientists. They're not back-end developers. They went to one week. Nine months to one week. That's undeniable right? I mean how do you, I mean that's a big company but, that seems to be the big enchilada that Amazon's going for, not the pockets of digital disruption. You know what I'm saying? So it's like, how do you square that out? I mean how do you think about that? >> Cloudability had a great survey that they released the results of somewhat recently where they were discussing that something like four or five of the, or I'm sorry 85% of the global spend on AWS went to four or five services that all have been around for a long time. RDS, EC2, S3, PBS, Data Transfer. And so as much as people talk about this and you're seeing pockets of this, it's not the common gaze by a wide margin. People don't get up on stage and talk about, well I have these bunch of EC2 instances behind a low balancer, storing data on S3 and that's good enough for me, because that's not interesting anymore. People know how to do that. Instead, they're talking about these far future things that definitely add capability, but do come at a cost-- >> I mean it's the classic head room. It's like here's some head room, but at the end of the day it's EC2, S3, Kinesis, Redshift, bunch of services that's U.S that seem to dominate. The question I want to ask you is that they always flaunt out the, every year it changes, Kinesis was at one point the fastest growing service in the history of AWS. Now it's Aurora. We made a, I made a prediction on the opening that a SageMaker will be the fastest growing service, because there just seemed to be so much interest in turn-key machine learning. It's hard as you-know-what to do it. >> I agree. >> Your thoughts on SageMaker? >> In one of my issues a few weeks back, I wound up asking, so who's using SageMaker and for what? And the response was ridiculous. What astounded me was that no two answers were alike as far as what the use case was. But they all started the same way. I'm not a data scientist, but. So this is something that's becoming-- >> John: What does that mean to you? What does that tell you? >> It tells me that everyone thinks they're unqualified to be playing around in the data science world, but they're still seeing results. >> But Corey I wonder because you know, think back a few years ago. That's what part of the promise of big data, is we have all this data and we're going to be able to have the business analysts rather than you know, some PhD sort this out. And machine learning is more right. We want to have these tools and we want to democratize data, you know. Data is the new bacon. It's the new oil. Data's the new everything. So you know, machine learning, you think this is all vapor and promise, or do you think it's real? >> I think big data is very real and very important. Ask anyone who sells storage by the gigabyte. And they will agree with me. In practice I think it's one of those areas where the allure is fascinating but the implementation is challenging. Okay we have history going back 20 years of every purchase someone has ever made in our book store. That's great, why do I still wind up getting recommendations? >> Well yeah and I guess, I want to talk that it was the, I see it more as, everything that was big data is now kind of moving to the ML and AI stage. Because big data didn't deliver on it, will this new wave deliver on the promise of really extracting value from my data? And it's things like this, live data. It's doing things now with my data, not the historical, lots of different types of data that we were trying to do with like the Hadoops of the world. >> Got ya. I think it's a great move because either yes it will or no it won't, but if it doesn't, you're going to see emergent behaviors of so why didn't it work? Well we don't understand the model that this system has constructed, so we can't even tell you why it's replacing the character I with some weird character that's unprintable, so let alone why we decide to target a segment of customers who never buys anything. So it does become defensible from that perspective. Whether there's something serious there that's going to wind up driving a revolution in the world of technology, I think it's too soon to say and I wouldn't dare to predict. But I will be sarcastic about it either way. >> Okay well let's get sarcastic for a second. I wan to talk to you about some moves other people are making. We'll get to the competition in a minute but Salesforce required MuleSoft. That got a lot of news and we were speculating on our studio session this week or last week with the CEO of Rubric that it's great for Salesforce. It can bring structured data in, on PRIM and the Cloud. Salesforce is one big SaaS platform. Amazon is trying to SaaS-ify business through the Cloud. So, but one of the things that's missing from MuleSoft is the unstructured data. So the question for you is, how are you seeing and how is your community looking at the role of the data as a strategic asset in a modern stack, one, both structured and unstructured data, is that becoming, even happening or is it more like, well we don't even know what it means. Your thoughts? >> I think that there's been a long history of people having data in a variety of formats and being able to work with that does require some structure. That's why we're seeing things emerging around S3's, increasing capabilities, being able to manipulate data at rest. We're seeing that with S3 and Glacier Select. We're seeing it with Athena which is named after the goddess of spending money on Cloud services, and there's a number of different tooling options that are, okay we're not going to move three x-abytes of data in so we have to do something with where it is. As far as doing any form of analysis on it, there needs to be some structure to it in order for that to make sense. From that perspective, MuleSoft was a brilliant acquisition. The question is, is what is SalesForce going to do with that? They have a history of acquisition, some of which have gone extremely well. Others of which we prefer not to talk about in polite company. >> It comes back down to the IDE thing. How many IDE's does Salesforce have now? I mean it's a huge number. >> I'm sure there's three more since we've started talking. (laughing) >> Yeah so Corey, you brought up, you know, money. So you know, the trillion dollar, what feedback are you getting from the community? You know there's always, well I get on Amazon and then my bills continue to grow and continue to grow. Same thing at Salesforce by the way if you use them. So you know, there's always as you gain power, people will push back against it. We saw with with Mike Hichwa with Oracle. I hear it some but it's not an overriding thing from when I talk to customers about Amazon. But I'm curious what you're hearing. Where are the customers feeling they're getting squeezed? Where is it you know, phenomenal? What are you seeing kind of on the monetary side of Cloud? >> In my day job, I solve one problem. I fix the horrifying AWS bill, both in terms of dollars and cents as well as analysis and allocation. And what astonishes me, and I'm still not sure how they did it. It's that AWS has somehow put the onus onto the customer. If you or I go out and we buy a $150,000 Ferrari, we wake up with a little bit of buyer's remorse of dear lord, that was an awful lot of money. When you do the equivalent in AWS, you look at that, and instead of blaming the vendor for overcharging, instead we feel wow, I'm not smart enough. I haven't managed that appropriately. Somehow it's my fault that I'm writing what looks like a phone number of a check every month over to AWS. >> John: It creeps up on you. >> It does. It's the boiling a frog problem. And by the time people start to take it seriously, there's a lot of ill will. There's a sense of, our team is terrible, and wasn't caring about this. But you don't ever cost-optimize your way to success. That's something you do once you have something that's up and working and viable. You don't start to build a product day one for the least possible amount of money and expect to attain any success. >> Well let's talk about that real quick to end the segment because I think that's a really important thing. Success is a double-edged sword. The benefit of the Cloud is to buy what you need, get proof of concept going, get some fly wheels going or whatever, virtuous circle of the application. But at some point, you hit a tipping point of oh shit this is working. And then the bill is huge. Better than over-provisioning and having a failed product. So where's that point with you guys or with your customers? Is there like analytics you do? Is that more of a subjective qualitative thing? You say, okay are you successful? Now let's look at it. So how do you deal with customers? 'Cause I can imagine that success is, it becomes the opportunity but also the problem. >> I think it's one of those, you know it when you see it type of moments, where if a company is spending $80,000 a month on their Cloud environment and could be spending 40, that's more interesting to a company that's three people than it is to an engineering team of 50. At that point, sorry they're embezzling more than that in office supplies every month. So that's not the best opportunity to start doing an optimization pass. More important than both of those scales to me has always been about understanding the drivers of it. So what is it that's costing that? Is it a bunch of steady state things that aren't doing work most of the time? Well, maybe there's an auto-scaling story in there. Maybe there's a serverless opportunity. Maybe nobody's using that product and it's time to start looking at rolling it in to something. >> They've left the lights on right? So to speak. >> Exactly. >> The server's are still up. Wait a minute, take them down. So, writing code, analytics, is that the answer? >> All of the above. In a vacuum, if you spin up an instance today, and don't touch it again, you will retire before that instance does. And it will continue to charge you every hour of every day. Understanding and being able to attribute who spun that up, when was it done, why was it done, and what project is it tied to? Is it some failed experiment someone did who hasn't worked here in six months? Or is that now our master database? We kind of need to know in either direction what that looks like. >> Alright before we wrap, you got to tell us, what do we expect to hear from your podcast? >> Good question. My podcast generally focuses on one-on-one conversations with people doing interesting things in the world of Cloud, which is vague enough for me to get away with almost anything as far as it goes. It's less sarcastic and snarky than some of my other work, and more at the why instead of the how. I'm not going to sit here and explain how to use an ABI. There are people far better at that than I am. But I will talk about why you might use a service, and what problem it reports to solve. >> Alright Corey, great to have you on. Uh the Screaming Pod, Screaming Cloud, >> Corey: ScreamingInTheCloud.com >> ScreamingInTheCloud.com, it's a podcast. Corey thanks for coming on and sharing the commentary, the insight on AWS, the how and the why, the Cube breaking down. All the action here in Moscone Western San Francisco, AWS 2018 Summit, back after more, after this short break. (spacey music)
SUMMARY :
Brought to you by Amazon Web Services. Welcome back to our Corey, great to have you on. the sound of my own voice. kind of getting all the scene. I still think there needs to be some and the scale of all of the quick starts, the best time to do things and said the same thing to you about, that seems to be the big enchilada it's not the common gaze by a wide margin. I mean it's the classic head room. And the response was ridiculous. the data science world, But Corey I wonder because you know, but the implementation kind of moving to the ML and AI stage. the character I with some weird character So the question for you is, in order for that to make sense. It comes back down to the IDE thing. I'm sure there's Where is it you know, phenomenal? and instead of blaming the And by the time people is to buy what you need, and it's time to start They've left the lights on right? is that the answer? All of the above. and more at the why instead of the how. Alright Corey, great to have you on. and sharing the commentary,
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
John | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Mike Hichwa | PERSON | 0.99+ |
Matt Wood | PERSON | 0.99+ |
Corey Quinn | PERSON | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Stu Miniman | PERSON | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
John Furrier | PERSON | 0.99+ |
Screaming | TITLE | 0.99+ |
Corey | PERSON | 0.99+ |
Nine months | QUANTITY | 0.99+ |
next week | DATE | 0.99+ |
5,000 | QUANTITY | 0.99+ |
last week | DATE | 0.99+ |
Eight months | QUANTITY | 0.99+ |
$150,000 | QUANTITY | 0.99+ |
85% | QUANTITY | 0.99+ |
40 | QUANTITY | 0.99+ |
six | QUANTITY | 0.99+ |
three people | QUANTITY | 0.99+ |
this week | DATE | 0.99+ |
Oracle | ORGANIZATION | 0.99+ |
first | QUANTITY | 0.99+ |
four | QUANTITY | 0.99+ |
San Francisco | LOCATION | 0.99+ |
one week | QUANTITY | 0.99+ |
gigabyte | ORGANIZATION | 0.99+ |
Corey: In the Cloud | TITLE | 0.99+ |
MuleSoft | ORGANIZATION | 0.99+ |
five services | QUANTITY | 0.99+ |
Werner Vogels | PERSON | 0.99+ |
SalesForce | ORGANIZATION | 0.99+ |
both | QUANTITY | 0.99+ |
Salesforce | ORGANIZATION | 0.99+ |
five instances | QUANTITY | 0.99+ |
Ferrari | ORGANIZATION | 0.99+ |
tomorrow | DATE | 0.98+ |
one | QUANTITY | 0.98+ |
PBS | ORGANIZATION | 0.98+ |
two months ago | DATE | 0.98+ |
one problem | QUANTITY | 0.98+ |
today | DATE | 0.98+ |
five | QUANTITY | 0.98+ |
Moscone Center | LOCATION | 0.98+ |
eight months | QUANTITY | 0.98+ |
Rubric | ORGANIZATION | 0.97+ |
six months | QUANTITY | 0.97+ |
two answers | QUANTITY | 0.97+ |
AWS 2018 Summit | EVENT | 0.96+ |
$80,000 a month | QUANTITY | 0.95+ |
Last Week | DATE | 0.95+ |
20 years | QUANTITY | 0.95+ |
50 | QUANTITY | 0.95+ |
S3 | TITLE | 0.94+ |
AWS Summit San Francisco 2018 | EVENT | 0.94+ |
Cube | COMMERCIAL_ITEM | 0.94+ |
Amazon Web Services Summit 2018 | EVENT | 0.93+ |
Keynote Analysis: Matt Wood & Werner Vogels | 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. >> Hello everyone, welcome to theCUBE here in San Francisco at Moscone West, theCUBE's exclusive coverage of Amazon Web Services Summit 2018. It's the first of their kickoff of their little satellite events, really about developers and training and educating people on Amazon Web Services products and services. Again theCUBE covers re:Invent, that's their big show, This is more of a, less of a sales and marketing but more of a really get down and dirty with the developers and practitioners. I'm John Furrier, with my cohost this week Stu Miniman all day today, wall to wall coverage. Stu, the keynotes just kicked off, Andy Jassy is not here, notable. Werner Vogels does all the summits so he's always been the headline. Last year Andy Jassy kind of did the keynote, fireside chat, we had that up on our YouTube channel, SiliconANGLE theCUBE, but here the story is all about SageMaker and the continued dominance of Amazon Web Services, and then again as we were speculating at re:Invent, and we've been saying on theCUBE, the maturization of Amazon Web Services is clear. Everyone knows the numbers, they're breaking out the reporting, they clearly got competitive forces for the first time in AWS's history, they have some serious competition upping their game. Microsoft nipping at their heels, Google putting out some open source tech, Oracle trying to throw FUD into the fire and say, change the rules and kind of keep the rules on their terms, so the competitive pressure. But at the end of the day there's a whole new era of modern software development, modern business applications and we're seeing it with things like cloud expansion, on-premise consolidation, hybrid-cloud, multi-cloud, decentralized infrastructure, blockchain AI, these are the themes, this is what developers want, this is what businesses are doing, let's analyze and discuss the keynotes. What's your thoughts? >> Yeah, so John, I mean, first of all, we watched the rolling thunder that is AWS just rolling through the entire industry, and now rolling all over the globe. So the AWS Summit, I think they actually had an idea about Summit in Singapore like, last night, and we're going to be covering a few of them. I was last year at the AWS New York City Summit, and I tell you, that New York City show alone was one of the best shows I went to all year. The amount of people, the excitement, what really differentiates as you said, the big re:Invent versus the summit, first of all, the summit, they tend to be a local audience, it's free for basically everybody to come in. So numbers are great, you know, we're in San Francisco, they going to 10, 15 thousand people here probably. Google Cloud Next was here last year in February and it feels almost the same amount of people here for a regional Amazon show. So the numbers are wow, the announcements, every day Amazon's running an announcement, so Doctor Werner Vogels, Doctor Matt Wood, get up stage, go through some of the usual we're dominating every industry and every service and everything there, but when you piece apart there's like, ooh, there's real announcements that are coming, things that jumped out, we talked about machine learning, Matt Wood talked about SageMaker is really growing super fast, people that I talked to that have been using it are loving it. They came out with SageMaker local, which means that I can develop it on my laptop and do it with that cool, you take ML with that cool, what was it, that deep lens, that they've got. It's how do I get these environments? Amazon isn't just about infrastructure cloud anymore, They've gone to paths, they're pushing to edge, they're doing all of these things. They had a whole ton of announcements, when they were already past the time that the keynotes were going to be done, Oh, you thought we're done, well security, security, security and secrets manager, firewall manager, there's so many services. The theme I've been looking at the past couple years, how do we keep up with all of this, even internally? You talk to Amazon people, they don't know everything that everyone's doing, because it's all those two pizza teams and how they're growing. >> And they always have to get all their sound bites in because they don't have a lot of time to get all that packed into one powerful punch. Just on a quick side note for the folks that watching knows theCUBE, we've been covering Amazon really since the beginning, since the re:Invent started, you know we've been covering data center infrastructure and big data, Hadoop and now beyond. You're starting to see coverage around blockchain and cryptocurrency. So again, we are expanding our coverage of the AWS ecosystem and cloud to include most of the major regional shows of AWS Summit, continuing to go deep into the AWS re:Invent and the community, we are also initiating coverage heavily on Google, Google Cloud Next, we'll be at their show and soon to be at Microsoft show, that's still to be determined with Microsoft that they will let us in, we're working on that, we think that's going to be good, but we'll be nailing and doubling down on the cloud coverage. So Stu, with that as a backdrop, people know we've been deep with Amazon, I've been called an Amazon fanboy many times, but the numbers are clear. I'm a Google fanboy, by the way, too, I love Google stuff. Microsoft I got to learn more about, obviously they have bundling and Office so they're a legacy player, Oracle a legacy player, so you got two legacy players, you got Amazon and Google, I would put them in two different categories, but then Alibaba in China trying to dip in as you got those, the real kind of cloud native companies, Google and Amazon on one end, you get the legacy players with Microsoft and Oracle and IBM on the other. So you have this really highly competitive environment. We're seeing for the first, or second time, Andy Jassy did it at re:Invent, but Werner Vogels put up the competitive slide. He said "This is what we're doing." And he showed the number of services that Amazon offers, vis a vis the competition, and he didn't actually call out the vendors but we kind of know, I put on my Twitter feed, you can see his number one, the second one's Microsoft. Google they put in the Google colors, that's obviously Google, and red is Oracle. Amazon is clearly dominating on the number of services available across the cloud. So when we've been squinting through the numbers on who's leading who, you've really got look at two perspectives. The broad range of available services and the number of customers using those services versus point solutions that might be one instance of the cloud. This is a new architecture, it's not the old waterfall model it's not the old six months to provision into it, mentioned that. This is like a highly competitive environment. So Stu I've got to ask you, how do you squint through that and look at the competition that Amazon has, obviously the numbers aren't great. But how should customers look at the competition, how are you looking at it, how is our team evaluating the competition? >> Well first of all John, it is not a zero sum game and it is very nuanced and complicated. And for most customers it's not a solution, it's many solutions and it's something that Amazon doesn't love, is that you talk about things like multi-cloud and they would say "Well, we have the "best service everywhere and we're the cheapest everywhere "and everyone's all in on us," well, when you get down to it, You know, I hate I have to defend a little bit, you say Microsoft and Oracle, legacy. Microsoft has business productivity applications. They are the leader in the space when you talk about... >> Yeah they're the leader in legacy applications. >> But you know, you start with the Microsoft Office Suite, and say what you will, it's still dominant out there, it's there. Microsoft gave enterprises the green light to go to SaaS, and they really helped drive that. >> John: Whoah, whoah, that's a direction. >> Yeah. >> John: But they're a legacy vendor, what you just said is that they're legacy. >> But Azure is doing quite well... >> John: Oracle's going to the cloud, are they legacy? >> Oracle's got a phenomenal team, have been building some really interesting things in cloud, but obviously no doubt about it, Amazon's leading, but when you talk to users and you say, okay, there's lots of reasons they might be using Azure for various pieces. Everybody is using AWS, except for those people, John, and you used the example, the ones that compete against Amazon and obviously that's a concern. Because today Amazon is competing against more and more companies, so that's a little bit... >> I'm not, I'm not down on the legacy, what I'm trying to point out is that IBM was clear about this, they were up front about it at IBM Think we were just at, which is, they're saying the legacy has to evolve. Doesn't mean legacy's going to die, I mean Microsoft clearly is going to the cloud, their stock's at like 90 plus, it was at 26 a few years ago so, Satya Nadella taking over from Ballmer. Clearly that's the direction Microsoft has to go, and they're doing it. Now, they're a legacy company doing cloud. Oracle, legacy company, doing cloud. IBM, legacy company, doing cloud. So that's necessarily a bad thing, I'm just saying vis a vis the competition I would put Google and I would put Amazon in a new, modern, non-legacy kind of world. >> Yeah, well okay, and you find one of the lines I love that Werner Vogels was talking about is we talked about AWS customers are builders, and he said builders have a bias for action. And I love that, because if you talk to companies, and you know, we've talked a lot on theCUBE, digital transformation, much more than a buzzword, John, I've not talked to anybody, that they're like, "Oh, kind of hogwash, you know, I'm just going to "keep doing the same thing I've been doing "for the last 10 years and I'll keep being successful." We understand that change needs to happen and it's not easy. So if you've got data scientists, if you've got, you know, understanding data, if you're embracing developers, Amazon has affinity with these groups, and that's why they build and they listen to their customers and there's new services and another thing, Amazon gets up on stage and it's not so much "Oh, here's the vision of where we're going," it's here's the stuff that we GAed that we already had you in the beta. Here's the new things, and they might give you a couple things in preview, but they iterate and move so fast. >> Yeah, checking the boxes on the product side, but... >> But much more than checking the boxes, they listen to their customers. >> Well, well of course, that's what they say, but we know they're doing that, but the thing, I mean checking the boxes, they're on the cadence of the Amazon releases, which we've talked about that. But fundamentally, Stu, I think the two big things and this is what I want to get your reaction to is, what's going on with Amazon, the consistent thing is that they lay out the preferred architecture of the modern stack and it's not the same architecture as the old way. Two, the SageMaker and machine learning and where AI is going, if you look at what Matt Wood discussed, SageMaker, my prediction, will surpass Aurora as the number one shipping service for Amazon in the history of their product. That thing is on a torrent pace, and the way they lay it out architecturally, they're not head figment, they're saying this is what we're doing, they lay out the architecture, and they're putting in the machine learning. So, to me, I love that. Now, all the other stuff that they're doing it's just the cadence of Amazon. More announcements, more services, general availability, they're moving the ball down the field, as Jeff Frick would say, matriculating the ball down the field. So your reaction to the modern architecture, and the SageMaker, machine learning for all developers. >> Yeah, absolutely, Amazon is setting the bar for how we think about architecture today. They're leaders in serverless, an area I've been hot on the last year or so. You know, Werner was up on stage talking about Ai Roba who I got the chance to interview last year. So absolutely they are the bar that everything is measured on in this industry. And if they're not, have the leading product in everything, they are close second and they have so many services that there is just this flywheel of not only services and customers and the new flywheel we talked about on theCUBE two years ago with Andy Jassy is data. John, I want to throw back at you a question. Amazon released something called AWS Secrets Manager. Do we trust Amazon with our secrets? Is the government coming after Amazon now? There's some of these macroeconomic things happening, you're hearing everything in Silicon Valley, what are you hearing lately? >> Well what I'm hearing is one, people are really kind of not happy with Amazon's success because it, you know, market share at the expense of other old guard or legacy vendors, and so that's taking it's toll. Oracle to me is the biggest company that's impacted most by Amazon. It's clear that a war of words is happening between Ellison and Jassy. Two, there's a big policy battle going on in D.C. I think Bloomberg broke a story that Oracle is trying to incite Trump to tackle Amazon proper, but and then Amazon is affected, Amazon Web Services is affected, because they have all that Department of Defense and the CIA deal, so you're seeing Amazon, Amazon Web Services for the first time dealing with competitive pressures that's old school tactics, which is policy formulation, and as they say in the policy game in D.C., Stu, the battle is won before it's even fought. This is new territory for Amazon, they really got to get their act together, and if I had to tell Andy Jassy any advice would be like look it, you got to start thinking chess game at this point, and understand that the competition is not going to roll over. We've said this on theCUBE many times. Oracle's not going to roll over, IBM's not going to roll over. Now, other companies, like Cloud Air who's down thirty percent on earnings, they're going to have to do a deal with Amazon, just like VMware did. So I think you have these big cloud players sucking the oxygen out of the room, and there are impacts. The growing startups who are pre-public companies or are public companies have to either join the ecosystem or find another partner. The major cloud players are going to fight tooth and nail for market share as stakes on the table is the future internet, it's basically everything in cloud that's going to extend to democratization around decentralization, the future of money, sovereignty, government, digital nations, internet of things, these are, it's a high stakes chess game and Amazon is now on new territory, and I think that to me is the big walkaway is that no one is going to let them take this uncontested. >> Yeah, John, look at this crowd. The expo hall is filling up, customers are still excited. The buzz that I hear is that Amazon, they listen, they still move really fast when they need to make changes, I remember a year ago when we were here for the Google event I was talking, it's like, ah, Google's got such better pricing for the small business and everything like that. A week later Amazon changed all of their pricing, billing by the microsecond, I talked back to some of my sources and they're like, "Yeah Amazon listened and totally flipped the game." >> Yeah, well Jassy, he... >> There are sustainable advantages, so difficult in the fast pace of change but Amazon is doing better than what Oracle used to do in the past, they were kind of like, we'd get the lead and kind of want the competition intact, with them with the old sailing analogy, Amazon doesn't worry about the competition, they listen to their customers, they're moving forward. >> Well, I think that they do, they don't admit it but they have to watch, they've got to look in their rear view mirror a little bit, but Stu, to end out the analysis I would say the following, my observation is this: Andy Jassy and his team are very customer-centric. He sat on theCUBE many times, so as an organization they're very process oriented, they'll listen to customers. But if you look at what's happening in the world today, is that in the old way, the way that Intuit laid it out that took months to provision the software, the old technology business model or venture architecture for a business was make a sound technology decision, and all the chits will fall in the right places. This is completely opposite now, if you look at what's going on with cloud and blockchain and cryptocurrency and decentralized applications, it's the business model that matters, the technology switching costs are now fungible with Lambda you're starting to see these sets of services that can be spun up in parallel. So the scale and flexibility of the platform, and Werner Vogels pointed this out on the keynote, this is fundamental. The decisions that are fatal to a company is the business model and the business logic, this is where the action is. That means it's not just a developer game any more, it's the CTO, it's the data scientists, and Werner Vogels laid that out and I think that to me was my big walkaway from today's keynote is that Amazon recognizes that it's not just about developers, make developers more productive, but bring all those people together to do the right for the business model, the business logic and applications. >> Yeah, John, we're always looking for what are those things that are slow down the company and the roadblocks, one thing Amazon I think did a great job they're out in front of GDPR, that are super hot topic out there, and they just say categorically, "We're ready for GDPR on all of our services," so full steam ahead, don't stop your spending, keep growing. >> Couldn't be a better time to be a theCUBE host to analyze and talk about the competition. Let's see how Amazon handles the competition, do they just keep pedal to the metal, or do they address it and play those 3D chess games? TheCUBE here in San Francisco for live coverage of AWS Summit 2018 in San Francisco, more coverage after this short break. We'll be right back. (techno music)
SUMMARY :
Announcer: Live from the Moscone Center and the continued dominance and it feels almost the of the AWS ecosystem and cloud to include They are the leader in the Yeah they're the leader the green light to go to SaaS, what you just said is that they're legacy. the ones that compete I'm not, I'm not down on the legacy, it's here's the stuff that we GAed on the product side, but... But much more than checking the boxes, and the SageMaker, machine and customers and the new the competition is not going to roll over. such better pricing for the small business about the competition, they is that in the old way, the and the roadblocks, one thing handles the competition,
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
IBM | ORGANIZATION | 0.99+ |
Jeff Frick | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Oracle | ORGANIZATION | 0.99+ |
John | PERSON | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
Andy Jassy | PERSON | 0.99+ |
Alibaba | ORGANIZATION | 0.99+ |
Satya Nadella | PERSON | 0.99+ |
CIA | ORGANIZATION | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
Matt Wood | PERSON | 0.99+ |
ORGANIZATION | 0.99+ | |
John Furrier | PERSON | 0.99+ |
San Francisco | LOCATION | 0.99+ |
Department of Defense | ORGANIZATION | 0.99+ |
Jassy | PERSON | 0.99+ |
first | QUANTITY | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Werner Vogels | PERSON | 0.99+ |
Silicon Valley | LOCATION | 0.99+ |
Bloomberg | ORGANIZATION | 0.99+ |
Richard Welsh, Sundog Media Toolkit | NAB Show 2017
>> Announcer: Live from Las Vegas. It's theCube, covering NAB 2017. Brought to you by HGST. (techno music) >> Welcome back to NAB, live from Las Vegas. I'm Lisa Martin with theCube. Join me in welcoming our next guest, Rich Welsh CEO of Sundog Media Toolkit. Hey Rich welcome to theCube. >> Hi, thank you for having me. >> Great to have you. So, first and foremost, now that I got all my tongue twitches out of the way, I have to ask you, what is a sundog? >> A sundog is actually a weather affect. It's an optical illusion caused by ice crystals in cirrus clouds. And the crystals are hexagonal and they diffract the light and you get these two, they're called mock suns, or parhelians, and the aboriginal word for that is a sundog. And so, that's where that comes from. And because we're in the cloud and we're like hexagons, we have a hexagonal user inter-face in our system. So we thought this was a perfect name for the company. >> Very unique. So tell us a little bit more. Sundog is a cloud-native solution for post-production in the cloud. >> Yes. >> You were founded in 2013. Give us a little bit more of an understanding of what you're doing for post-production in the cloud. >> Okay, so the system is built around running the kind of processes that require a lot of heavy-lifting and need to scale, such as very complex image manipulation processes, restoration, format conversions, working with uncompressed content, high-dynamic range, 4K, high frame rate. These are things that become much easier in a cloud environment and you scale up and down with the workload, and how peaky demand of a production. Obviously productions come along, they do a load of work and then they shut down again. So it's really built around that kind of ability to scale in a very peaky environment. >> So given that, you mentioned 4K. There was the live stream from The International Space Station today via 4K here to Las Vegas, amazing. 4K, HG, UHG, AK, massive opportunities, generating massive content that requires agility, speed, et cetera, et cetera. Talk to us about really what the genesis was for Sundog. What opportunity did you see in the market to create this company? >> So my background is operations in post-production distribution. I worked for Dolby and then Technicolor, and while I was doing that work, I found that there was often issues again with the kind of workloads where the formats were constantly increasing, I mean, we see that now, more formats than ever in terms of not just the things people might think of in terms of downstream tablets, mobile, and so on, but even in the cinema, we have massive amounts of different picture formats, sound formats, and so on. And it makes that whole content creation process so much more complex. We felt, Chris Ralph, who is my business partner and the co-founder of Sundog, and we'd worked together in that environment, but we always had machines in a machine room in the basement. And that really was a big limiting factor to what you could do and how quickly you could adapt to new formats and new requirements for the customers, and just the workflows they may want to suddenly adopt. So we felt that building something in the cloud gave us a lot of flexibility to be able to adapt to those different workflows, to new formats very quickly because you don't worry so much about the actual difficulty of doing the processing, you're not buying boxes anymore, so speed of processing becomes a function of how much of the cloud you want to use. So it's very simple to be able to go well, if for a 4K show we have way more compute power just to keep us going at the same speed as we would have for an HD, when then as we move into things like AK, high-dynamic range, high frame rate, these things are all coming along. You can just adapt more or less instantaneously to those things as they happen without having the burden of capital expenditure and limitations of whatever you already have installed. >> So give us an idea, you mentioned cinema and I know that you work with Hollywood-level cinema organizations. You talked about the speed, the flexibility, the agility, that they get. Walk us through an example of a film studio. What's the transition like for them moving post-production to the cloud? Is it a straightforward process, multiple steps involved? >> No, there are definitely multiple steps involved. I wouldn't say it's straightforward. It's maybe not quite as difficult as people would think, but there are a lot of factors that you need to consider when you're moving to the cloud. I mean, the first obvious one is you have to move the data in. So traditionally, a broadband infrastructure is going to be something that you have to invest in over a fairly long period of time to get good cost-effective bandwidth when you're moving uncompressed data and particularly if you're now moving up and down to the cloud, but we're seeing telecoms providers moving to much more flexible business models basically. So they're installing very high bandwidth fiber, but then you have the actual amount of data that you want to move on-demand. These kind of models are enabling people to move their post-production to the cloud. And the next thing, obviously, is security. People do have concerns about security. But with that said, actually the really big cloud providers have worked very hard to lock down that element. And in fact, there are many other industries whose security requirements are very stringent. You know, military applications, pharmaceuticals, banking, oil and gas. You can imagine all these very high-value industries that require really good security. And the big public clouds are geared towards that, so actually, you can have a lot of confidence as a studio or a broadcaster that if you implement it correctly, you can have really good, I would argue better than facility security, in a cloud environment, because they're actually dealing with stuff that cannot be lost. >> Right. We were actually, theCube, just at the Amazon Web Services Summit in San Francisco last week, and that was kind of a recurring theme that the security concerns really have been quite mitigated in the public cloud. Give us an idea in terms of maybe reducing the time from shot to post-production to actually showing a cinema in the theaters. How much reduction can a cinema, or film studio expect by moving to the cloud? >> Well, I mean, you can get incredible amounts of reduction because now if you can scale to that workload, let's say a big international release feature film might have three, 400 versions that will go out to cinemas, those versions in their current kind of paradigm have to be made manually in boxes, and with operators and then they have to be watched and qualified to make sure they're going to work, and then they get shipped to the theater. If you imagine moving that workflow wholesale to the cloud and we have done that work with some of the studios, now if you can get all of the elements together up front instead of having several weeks of work to get that out of the door and into theaters, you can literally do it in hours. There's no real limitation to the amount of compute resource that you would use in that scenario, certainly not going to trouble a really big data provider like Amazon, AWS. So you can get the assets out very quickly, but then you're actually able to leverage other features of the cloud such as content delivery networks to push those files to the cinemas. So in a real like joined up workflow in that way, I mean, we're not doing all of those things yet, but we will get there I'm absolutely certain and these things can take the release cycle from weeks down to days or hours. >> So dramatic, dramatic savings. Talk to us about, before we talk about the underlying infrastructure of Sundog, walk us through where Sundog is in that entire production pipeline. >> Okay, well actually Sundog's quite a broad platform in terms of the feature set, so we find the systems used by different productions at various different stages and that can be upfront in terms of dailies, and visual effects approvals, it can be right back at the distribution end when you're making all your foreign language versions, dubbed subtitles, and so on. And then we have a lot of processes which would typically take place in the middle of the post-production phase with things like image clean-up, de-noisers, we have super resolution converters, and actually a lot of tools that aren't available in hardware, simply because it's been very difficult to get a hardware platform that could reasonably process those elements in any amount of time. Again, we're finding that the cloud is becoming an environment for productizing those really complex algorithms and image processing techniques that just have not been available to creatives up till now. >> So with the customer journey, this transition that we talked about, what does, under the hood of Sundog in the cloud, compute, storage, networking, tell us about this ecosystem? >> So we took the approach from the start that we didn't want to deal with the storage element, that was for two reasons. The one is that customers really want to control their content themselves. So we felt if we could simply point the system to their storage, then that would be a much easier way for them to have to confidence that they know where their assets are and they're in control of them. So we work in a hybrid setup where you can have your assets stored anywhere you want. In a cloud, it will have to be a cloud environment, and then our system authenticates to it. Now the system itself is in Amazon, so all the compute, and data-base resource, and then all the kind of dynamic features around automation and so on, are built on the Amazon AWS platform, but the data may exist elsewhere so it might be in Amazon, it might be in Amazon S3 storage, but it could equally be somewhere else in the world in a different data center, it be on-prem in a cloud store that you've built yourself. So our architecture really is to provision and orchestrate that resource and scale, to provide the tools, so we have all these workflows with different manufacturers tools in there that you can call on-demand. But then when it comes to actually processing it, the data starts and finishes where you want it to go and gives you complete control. So it's quite a different architecture to a lot of solutions that are currently out there where you really have a box in the cloud with the storage attached to the box, and that's kind of it. >> Well not only do you have a very unique name with a great meaning, but you also seem to have quite differentiated technology. We thank you so much for stopping by theCube, we wish you the best of luck with Sundog, and have a great rest of your day three at NAB. >> Thank you very much. >> We want to thank you for watching. Again we are live at NAB in Las Vegas. I'm Lisa Martin, stick around we'll be right back. (techno music)
SUMMARY :
Brought to you by HGST. Welcome back to NAB, live from Las Vegas. I have to ask you, what is a sundog? and you get these two, they're called mock suns, in the cloud. of what you're doing for post-production in the cloud. in a cloud environment and you scale up and down So given that, you mentioned 4K. of how much of the cloud you want to use. and I know that you work with Hollywood-level is going to be something that you have to invest in that the security concerns really and then they get shipped to the theater. Talk to us about, before we talk about the underlying in terms of the feature set, so we find the systems So we work in a hybrid setup where you can have we wish you the best of luck with Sundog, We want to thank you for watching.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
2013 | DATE | 0.99+ |
Lisa Martin | PERSON | 0.99+ |
Rich Welsh | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Chris Ralph | PERSON | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Richard Welsh | PERSON | 0.99+ |
Las Vegas | LOCATION | 0.99+ |
Sundog | ORGANIZATION | 0.99+ |
three, 400 versions | QUANTITY | 0.99+ |
last week | DATE | 0.99+ |
Rich | PERSON | 0.99+ |
first | QUANTITY | 0.99+ |
two reasons | QUANTITY | 0.99+ |
Dolby | ORGANIZATION | 0.99+ |
Sundog Media Toolkit | ORGANIZATION | 0.98+ |
San Francisco | LOCATION | 0.98+ |
NAB 2017 | EVENT | 0.98+ |
Amazon Web Services Summit | EVENT | 0.97+ |
NAB Show 2017 | EVENT | 0.97+ |
two | QUANTITY | 0.97+ |
today | DATE | 0.97+ |
NAB | EVENT | 0.96+ |
Hollywood | ORGANIZATION | 0.95+ |
theCube | ORGANIZATION | 0.92+ |
AK | ORGANIZATION | 0.89+ |
one | QUANTITY | 0.85+ |
day three | QUANTITY | 0.84+ |
CEO | PERSON | 0.81+ |
S3 | TITLE | 0.78+ |
HG | ORGANIZATION | 0.75+ |
HGST | ORGANIZATION | 0.73+ |
4K | QUANTITY | 0.72+ |
UHG | ORGANIZATION | 0.72+ |
4K | OTHER | 0.64+ |
Space Station | LOCATION | 0.46+ |
International | TITLE | 0.44+ |
Eric Pan, Equinix - AWS Summit SF 2017 - #AWSSummit - #theCUBE
>> Voiceover: Live from San Francisco, it's the CUBE covering AWS Summit 2017. Brought to you by Amazon Web Services. (electronic music) >> Welcome back to the CUBE. We have spent a great day in San Francisco at the AWS Summit. My co-host, George Gilbert, and I are very excited next to be talking to Eric Pan, the Senior Director of Alliances Marketing at Equinix. And Eric and I know each other when I worked at NetUP and you worked at VMware, so it's great to see you again. >> Back in the day. >> Back in the day. >> Eric: Yeah. It's great to be here, Lisa. >> It's great to have you on the CUBE. >> Eric: Thank you. >> So tell us about Equinix and what you're doing to help customers get to the cloud. >> Yes, love to. So Equinix was founded in 199-- ... 1998. We really have established what we call an interconnection data center platform. So Platform Equinix is a company that helps customers to interconnect with their trading partners, with networks, and customers. >> Excellent. And so one of the things that I actually just read yesterday, a press release, that Equinix just became part of the AWS partner network as an advanced technology partner. >> Eric: Right. >> Big news. >> Big news. So we've had a relationship with AWS for many years. We've established 14 points of presence around the world for what AWS calls their Direct Connect, which is, it's a great way for customers to be able to manage their hybrid clouds or mainline, if you will, directly into AWS, privately and bypassing the Internet entirely. So for us to be able to gain this certification, this badge if you will, it's a proud day at Equinix. >> Well, congratulations. Fantastic. I'm sure a lot of hard work has gone into that. >> Eric: Yes. >> So help us, talk though from a customer perspective, where they want to say, "I don't really want to apply any more of my real estate, and I, you know, I don't want to buy a lot more gear, but I have some stuff with legacy apps. And I'm actually starting to build out more in Amazon." What's that scenario? How do you help with that scenario? >> Right, so this is a very typical scenario we see every day with our customers. If I may just color this with what we call interconnection, Interconnection is, it is a set of ideas and concepts that we've established through many years of observing how our customers have worked with us and have built their infrastructure, both on-premises and into the cloud. So what you're referring to is really a hybrid cloud situation or scenario. And where a customer ideally says, "I would like to put the majority of my workloads and applications and maybe even data up in the cloud." But we know that's not practical. There's a lot of different reasons. Some of the reasons are data sovereignty or compliance or regulatory concerns. We see a lot of customers that have very specific hardware devices. For hardware maybe, certification or validation for certain things. So those sort of customers will come to Equinix. They'll place their own equipment within our data center. They'll manage that or they'll have a managed service provider come and help them with that. But they'll also be able to directly connect up into AWS. So that's one of the beauties of working with Equinix from our customers' perspective, is they get the best of both worlds. So they get to move their equipment out of their own data center, but they still have the look-and-feel or the management capability of on-premises. And then they also get to enjoy all the benefits of working in the cloud with AWS. >> So you've grown since early 2016, as we were chatting about before, Equinix has grown customer connections to AWS >> Eric: Yes, 250. >> 250% That's massive. >> Eric: Over 250%, yes. >> Over 250. Tell me just to get a little bit, kind of following on what you were just saying, what type of business would choose that route versus going, either keeping some on-prem then going right right to AWS or a cloud? Give us an understanding of really who this target market is. >> Sure, so really any and all enterprises would need to have this capability. The concept here with Direct Connect, it's really AWS' concept and where they say, "If you have certain applications that may be really heavy and are very compute-intensive or very data-intensive, you'll want to run those applications in AWS, and you want to make sure that you have good user experience around that." So Direct Connect privately connects from the end-user to AWS without zig-zagging through the Internet. You get predictability and performance. And what's really the most important thing is great user experience. >> And are you seeing the rise of enterprise as being more and more comfortable with migrating business-critical workloads? >> Oh absolutely yes. Yes, I went to Andy Jassy's fireside chat earlier today >> Lisa: Yeah, it was fantastic wasn't it? >> And he had a whole list of customers that are running business-critical applications. So we see a lot of customers that do that. And we also see, on the flip-side, a lot of customers, like what we were speaking about earlier in the hybrid cloud sense, that are running business-critical applications in AWS but they need to have their data local. So marked by regulatory or compliance issues in health care or in retail environments where PCI compliance demands that you have private data. And then in countries like, I'm just going to give you two examples, Canada and Germany, they have very stringent data sovereignty rules where you must have data in-country from operating on that data. So a lot of customers will use Direct Connect to connect up into AWS, but they'll also be able to maintain their data privacy if they need to. >> Just a drill down on that scenario, you know, there's debate as to, is there one cloud, one ring to rule them all? Or where is the sweet spots of different clouds? Would Equinix be for a customer who has a mission-critical application that's been running for years, that's got an Oracle database? They want to add some low-latency analytics, machine learning where they're scoring or predicting. So they want to put something close to where it's running. So they take the equipment from their data center, put it in Equinix, add around that application the low-latency stuff. >> Eric: Yes. >> And then maybe the digital experience part is in Amazon. >> Right. Yes. So we see many customers doing that very thing. And we also have a very close relationship with NetApp as a storage provider. And NetApp has an offering called NPS, or NetApp Private Storage. So symbiotically, we work together to provide what NetApp has as a ... Data Fabric, which they call. And in that scenario, the whole entire concept is based on running heavy applications or business applications in the cloud but having your data privately and distributed locally or close to where people live, work, and play. >> George: Okay. >> So one of the topics, actually, in, you mentioned attending Andy Jassy's fireside chat. I think we all did. It was fantastic. >> And one of the things that was really interesting was that he was talking about of all of the buzzwords, and as marketers, you know, we both know this, that IOT is the buzzword that he has seen really come to fruition. >> Eric: Come to life, right. >> The fastest. >> That was a fascinating part of his discussion. So we, Equinix, are at the center of, if you will, some of the things that are going on in the IOT world. So IOT, if you can imagine the Internet, a thing says that there's lots of different little devices or big devices like cars or huge devices like hydroelectric dams or jet engines. Those are all producing vast amounts of data that have to go somewhere. And the companies that, like Andy used GE for example in the wind turbines, the companies that need to look at that data, that are having to store that data or do something with it, they typically say, "Well, if we are based in one geographical city, and all this data is coming in from all over the world or all over some region, you need to have natural ingestion points for that data. So we, Equinix, are at the center of where data comes in. And then the next piece is, well, now that we have all this data or now that the organization has all this data in one place or maybe distributed in a few places, how do they then go operate on that? So the scenarios that we spoke about earlier, in where you have an application running up in AWS, to look at that data or, in some cases, there may be, like Andy talked about the Snowball and the Edge computing, Edge computing is something that Equinix very much puts forward as one of the concepts in our interconnection ideas. So that, it's kind of loud there. >> Sorry for the overhead announcement (laughs) >> So the idea around having all of these big data ingestion points, having Edge compute or cloud compute, Equinix becomes a really logical place for customers to be able to do all of that. And then, of course, there's all the data visualization. There's all the data analytics that have to occur with the data scientists. So maybe some of those analytics are running in AWS, but maybe some of the visualization pieces are running in other companies. I won't name the companies, but we all know who the data visualization companies are. >> Lisa: (laughs) >> So your points of presence are about 150 if ... >> Yes, we have 150 data centers in 40 of the biggest business-rich metros around the world. >> Now, do you see a need for a mini-data center or a point of presence that's more like when AOL had those dial-in >> Eric: (laughs) >> I mean, literally, it could've been one box that received phone calls and then ran them out over the network. And the reason I ask is when we have billions of devices, you might want points of presence in the thousands or hundreds of thousands even. >> Eric: Right. That is a very interesting question, and I kind of liken this to something that maybe is an easier idea to understand. A lot of us live in big cities. A lot of us work or ... A lot of us, yes, work at a big company. Some of us don't. A lot of us conduct our banking with big banks or small banks. So if you can imagine the world of maybe retail or banking where there's lots of little branch offices, those could be, we could think of those as maybe the mini-data center idea that you've brought up earlier. So in what Equinix calls interconnection, we have a concept that we call Edge Hub or Communications Hub, which is an idea in where we want to shorten the distance between where users live, work, and play and where the application is running. And so by doing that and simplifying the network topology, in the case that we're talking about, IOT, yes. You would definitely want to do that. So think of a branch office connecting up to a hub, if you will, a communications hub, as a natural ingestion point to bring in that data. >> So last question, Eric, as we wrap up here. We talked about the tremendous growth that Equinix has had just in the last not even 18 months alone and also the great news yesterday that you're very proud of and should be, as becoming an advanced technology partner of Amazon. So last word to you, what's next as an advanced technology partner of AWS? >> Wow. Well, if I can just maybe borrow some of Andy Jassy's words, we're not done here yet. There's no end in sight where Equinix goes. We continue to grow. We have over a third of the Fortune 500 customers that we've managed to attract and that are happy customers. We want to continue down that road and have 100% of the Fortune 500 customers. And we want to make all of our customers happy in working in this new era that we call cloud computing. >> Fantastic. Well, I think we can feel the momentum coming from you and very much Matt Schpive, the guys and the gals from AWS that were on stage today. So, Eric Pan, it's so great to see you after a few years of back in the day. >> Great to see you. Thanks for having me here. >> Absolutely, and for Eric Pan and my co-host George Gilbert, I'm Lisa Martin. You've been watching the CUBE live from the Amazon Web Services Summit in San Francisco. We will be right back. (futuristic electronic music)
SUMMARY :
Brought to you by Amazon Web Services. it's great to see you again. So tell us about Equinix and what you're doing So Platform Equinix is a company that helps customers that Equinix just became part of the AWS partner network So we've had a relationship with AWS for many years. I'm sure a lot of hard work has gone into that. And I'm actually starting to build out more in Amazon." So that's one of the beauties of working with Equinix kind of following on what you were just saying, from the end-user to AWS Yes, I went to Andy Jassy's fireside chat earlier today I'm just going to give you two examples, Canada and Germany, add around that application the low-latency stuff. or close to where people live, work, and play. So one of the topics, actually, in, And one of the things that was really interesting So the scenarios that we spoke about earlier, that have to occur with the data scientists. in 40 of the biggest business-rich metros around the world. And the reason I ask is when we have billions of devices, And so by doing that and simplifying the network topology, and also the great news yesterday and have 100% of the Fortune 500 customers. So, Eric Pan, it's so great to see you Great to see you. from the Amazon Web Services Summit in San Francisco.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Eric | PERSON | 0.99+ |
George Gilbert | PERSON | 0.99+ |
Matt Schpive | PERSON | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Lisa Martin | PERSON | 0.99+ |
Eric Pan | PERSON | 0.99+ |
George | PERSON | 0.99+ |
Andy Jassy | PERSON | 0.99+ |
AWS' | ORGANIZATION | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
Equinix | ORGANIZATION | 0.99+ |
Andy | PERSON | 0.99+ |
Lisa | PERSON | 0.99+ |
thousands | QUANTITY | 0.99+ |
40 | QUANTITY | 0.99+ |
San Francisco | LOCATION | 0.99+ |
AOL | ORGANIZATION | 0.99+ |
14 points | QUANTITY | 0.99+ |
100% | QUANTITY | 0.99+ |
GE | ORGANIZATION | 0.99+ |
1998 | DATE | 0.99+ |
yesterday | DATE | 0.99+ |
one box | QUANTITY | 0.99+ |
150 data centers | QUANTITY | 0.99+ |
early 2016 | DATE | 0.99+ |
hundreds of thousands | QUANTITY | 0.99+ |
Oracle | ORGANIZATION | 0.99+ |
two examples | QUANTITY | 0.99+ |
Francisco | LOCATION | 0.98+ |
both worlds | QUANTITY | 0.98+ |
one | QUANTITY | 0.98+ |
Over 250 | QUANTITY | 0.98+ |
Over 250% | QUANTITY | 0.97+ |
NetUP | ORGANIZATION | 0.97+ |
AWS Summit 2017 | EVENT | 0.97+ |
one place | QUANTITY | 0.97+ |
VMware | ORGANIZATION | 0.97+ |
250% | QUANTITY | 0.97+ |
billions of devices | QUANTITY | 0.97+ |
Canada | LOCATION | 0.97+ |
Germany | LOCATION | 0.96+ |
about 150 | QUANTITY | 0.96+ |
today | DATE | 0.96+ |
Greg Benson, SnapLogic - AWS Summit SF 2017 - #AWSSummit - #theCUBE
>> Voiceover: Live from San Francisco it's theCUBE. Covering AWS Summit 2017. Brought to you by Amazon Web Services. (upbeat music) >> Hey welcome back to theCUBE live at the Moscone Center at the Amazon Web Services Summit San Francisco. Very excited to be here, my co-host Jeff Rick. We're now talking to the Chief Scientist and professor at University of San Francisco, Greg Benson of SnapLogic. Greg, welcome to theCUBE, this is your first time here we're excited to have you. >> Thanks for having me. >> Lisa: So talk to us about what SnapLogic is, what do you do, and what did announce recently, today, with Amazon Web Services? >> Greg: Sure, so SnapLogic is a data integration company. We deliver a cloud-native product that allows companies to easily connect their different data sources and cloud applications to enrich their business processes and really make some of their business processes a lot easier. We have a very easy-to-use what we call self-service interface. So previously a lot of the things that people would have to do is hire programmers and do lots of manual programming to achieve some of the same things that they can do with our product. And we have a nice drag-and-drop. We call it digital programming interface to achieve this. And along those lines, I've been working for the last two years on ways to make that experience even easier than it already is. And because we're Cloud-based, because we have access to all of the types of problems that our customers run into, and the solutions that they solve with our product, we can now leverage that, and use it to harness machine-learning. We call this technology Iris, is what we're calling it. And so we've built out this entire meta-data framework that allows us to do data science on all of our meta-data in a very iterative and rapid fashion. And then we look for patterns, we look for historical data that we can learn from. And then what we do is we use that to train machinery and algorithms, in order to improve the customer experience in some way. When they're trying to achieve a task, specifically the first product feature that is based on the Iris technology is called the Integration Assistant. And the Integration Assistant is a very practical tool that is involved in the process of actually building out these pipelines. We call, when you build a pipeline it consists of these things called snaps, right? Snaps encapsulate functionality and then you can connect these snaps together. Now, it's often challenging when you have a problem to figure, OK, it's like a puzzle what snaps do I put together, and when do I put them together? Well, now that we've been doing this for a little while and we have quite a few customers with quite a few pipelines, we have a lot of knowledge about how people have solved those puzzles in the past. So, what we've done with Iris, is we've learned from all of those past solutions and now we give you automatic suggestions on where you might want to head next. And, we're getting pretty good accuracy for what we're predicting. So, we're basically, and this integration system is, a recommendation engine for connecting snaps into your pipelines as they're developing. So it's a real-time assistant. >> Jeff: So if I'm getting this right, it's really the intelligence of the crowd and the fact that you have so many customers that are executing many of the similar, same processes that you use as the basis to start to build the machine-learning to learn the best practices to make suggestions as people are going through this on their own. >> Greg: That's absolutely right. And furthermore, not only can we generalize from all of our customers to help new customers take advantage of this past knowledge, but what we can also do is tailor the suggestions for specific companies. So as you, as a company, as you start to build out more solutions that are specific to your problems, your different integration problems... >> Jeff: Right. >> The algorithms can now be, can learn from those specific things. So we both generalize and then we also make the work that you're doing easier within your company. >> And what's the specific impact? Are there any samples, stories you can share of what is the result of this type of activity? >> Greg: We're just, we're releasing it in May. >> Jeff: Oh OK. >> So it's going to be generally available to customers. >> Couple weeks still. >> Greg: Yeah. So... So... And... So... So we've done internal tests, so we've dove both through sort of the data science, so the experimentation to see, to feed it and get the feedback around how accurately it works. But we've also done user studies and what the user studies, not only did the science show but the user studies show that it can improve the time to completion of these pipelines, as you're building them. >> Lisa: So talk to us a little bit about who your target audience is. We're AWS, as we said. They really started 10 years ago in the start of space and have grown tremendous at getting to enterprise. Who is the target audience for SnapLogic that you're going after to help them really significantly improve their infrastructure get to the cloud, and beyond? >> Greg: So, so, so basically, we work with, largely with IT organizations within enterprises, who are, you know, larger companies are tasked with having sort of a common fabric for connecting, you know, which in an organization is lots of different databases for different purposes, ERP systems, you know, now, increasingly, lots of cloud applications and that's where part of our target is, we work with a lot of companies that still have policies where of course their data must be behind their firewall and maybe even on their premise, so our technology, while we're... we're hosted and run in the cloud, and we get the advantage of the SAS, a SAS platform, we also have the ability to run behind a firewall, and execute these data pipelines in the security domains of the customers themselves. So, they get the advantage of SAS, they get the advantage of things like Iris, and the Integration Assistant, right, because we can leverage all of the knowledge, but they get to adhere to any, you know, any regulatory or security policies that they have. And we don't have to see their data or touch their data. >> Lisa: So helping a customer that was, you know, using a service-oriented architecture or an ETL, modernize their infrastructure? >> Greg: Oh it's completely about modernization. Yeah, I mean, we, you know, our CEO, Gaurav Dhillon has been in the space for a while. He was formerly the CEO of Informatica. And so he has a lot of experience. And when he set out to start SnapLogic he wanted to look, you know, embrace the technologies of the time, right? So we're web-focused, right? We're HTTP and REST and JSON data. And we've centered the core technologies around these modern principles. So that makes us work very well with all the modern applications that you see today. >> Jeff: Look Greg, I want to shift gears a little bit. >> Greg: Yeah. >> You're also a professor. >> Greg: Correct. >> At University of San Francisco and UC Davis. I'd just love to get your perspective from the academic side of the house on what's happening at schools, around this new opportunity with big data, machine-learning, and AI and how that world is kind of changing? And then you are sitting in this great position where you kind of cross-over both... How does that really benefit, you know, to have some of that fresh, young blood, and learning, and then really take that back over, back into the other side of the house? >> Greg: Yeah, so a couple of things. Yeah, professor at University of San Francisco for 19 years. I did my PhD at UC Davis in computer science. And... My background is research in operating systems, parallel and distributed computing, in recent years, big data frameworks, big data processing. And University of San Francisco, itself, we have a, what we call the Senior and Masters Project Programs. Where, we've been doing this for, ever since I've been at USF, where what we do is we partner groups of students with outside sponsors, who are looking for opportunities to explore a research area. Maybe one that they can't allocate, you know, they can't justify allocating funds for, because it's a little bit outside of the main product, right? And so... It's a great win, 'cause our students get experience with a San Francisco, Silicon Valley company, right? So it helps their resume. It enhances their university experience, right? And because, you know, a lot of research happens in academia and computer science but a lot of research is also happening in industry, which is a really fascinating thing, if you look at what has come out of some of the bigger companies around here. And we feel like we're doing the same thing at SnapLogic and at the University of San Francisco. So just to kind of close that loop, students are great because they're not constrained by, maybe, some of us who have been in the industry for a while, about maybe what is possible and what's no so possible. And it's great to have somebody come and look at a problem and say, "You know, I think we could approach this differently." And, in fact, really, the impetus for the Integration Assistant came out of one of these projects where I pitched to our students, and I said "OK, we're going to explore SnapLogic meta-data and we're going to look at ways we can leverage machine-learning in the product on this data." But I left it kind of vague, kind of open. This fantastic student of mine from Thailand, his name is Jump, he kind of, he spent some time looking at the data and he actually said, "You know I'm seeing some patterns here. I'm seeing that, you know, we've got this great repository of these," like I described, "of these solved puzzles. And I think we could use that to train some algorithms." And so we spent, in the project phase, as part of his coursework, he worked on this technology. Then we demoed it at the company. The company said, "Wow, this is great technology. Let's put this into production." And then, there was kind of this transition from sort of this more academic, sort of experimental project into, going with engineers and making it a real feature. >> Lisa: What a great opportunity though, not just for the student to get more real-world applicability, like you're saying, taking it from that very experimental, investigational, academic approach and seeing all of the components within a business, that student probably gets so much more out of just an experiment. But your other point is very valid of having that younger talent that maybe doesn't have a lot of the biases and the pre-conceived notions that those of us that have been in the industry for a while. That's a great pipeline, no pun intended... >> Greg: Sure. >> For SnapLogic, is that something that you helped bring into the company by nature of being a professor? Just sort of a nice by-product? >> Well, so a couple of things there. One is that, like I said, University of San Francisco we were running this project class for a while, and... I got involved, you know, I had been at USF for a long time before I got involved with SnapLogic. I was introduced to Gaurav and there was this opportunity. And initially, right, initially, I was looking to apply some of my research to the technology, their product and their technology. But then it became clear that hey, you know we have this infrastructure in place at the university, they go through the academic training, our students are, it's a very rigorous program, back to your point about what they are exposed to, we have, you know, we're very modern, around big data, machine-learning, and then all of the core computer science that you would expect from a program. And so, yeah, it's been... It's been a great mutually beneficial relationship with SnapLogic and the students. But many other companies also come and pitch projects and those students also do similar types of projects at other companies. I would like to say that I started it at USF but I didn't. It was in existence. But I helped carry it forward. >> Jeff: That's great. >> Lisa: That is fantastic. >> And even before we got started, I mean you said your kind of attitude was to be the iPhone in this space. >> Greg: Of integration, yeah. >> Jeff: So again, taking a very different approach a really modern approach, to the expected behavior of things is very different. And you know, the consumerization of IT in terms of the expected behavior of how we interact with stuff has been such a powerful driver in the development of all these different applications. It's pretty amazing. >> Greg: And I think, you know, just like maybe, now you couldn't imagine most sort-of consumer-facing products not having a mobile application of some sort, increasingly what you're seeing is applications will require machine-learning, right, will require some amount of augmented intelligence. And I would go as far to say that the technology that we're doing at SnapLogic with self-service integration is also going to be a requirement. That, you just can't think of self-service integration without having it powered by a machine-learning framework helping you, right? It almost, like, in a few years we won't imagine it any other way. >> Lisa: And I like the analogy that Jeff, you just brought up, Greg, the being the iPhone of data integration. The simplicity message, something that was very prevalent today at the keynote, about making things simpler, faster, enabling more. And it sounds like that's what you're leveraging computer science to do. So, Greg Benson, Chief Scientist at SnapLogic. Thank you so much for being on theCUBE, you're now CUBE alumni, so that's fantastic. >> Alright. >> Lisa: We appreciate you being here and we appreciate you watching. For my co-host Jeff Rick, I'm Lisa Martin, again we are live from the AWS Summit in San Francisco. Stick around, we'll be right back. (upbeat music)
SUMMARY :
Brought to you by Amazon Web Services. live at the Moscone Center at the and now we give you automatic suggestions and the fact that you have so many customers that are more solutions that are specific to your problems, make the work that you're doing easier so the experimentation to see, to feed it Lisa: So talk to us a little bit about but they get to adhere to any, you know, any regulatory all the modern applications that you see today. How does that really benefit, you know, And because, you know, a lot of research happens not just for the student to get more real-world we have, you know, we're very modern, And even before we got started, I mean you said And you know, the consumerization of IT Greg: And I think, you know, just like maybe, And it sounds like that's what you're leveraging and we appreciate you watching.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Jeff | PERSON | 0.99+ |
Jeff Rick | PERSON | 0.99+ |
Greg | PERSON | 0.99+ |
Lisa | PERSON | 0.99+ |
Greg Benson | PERSON | 0.99+ |
Lisa Martin | PERSON | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
Gaurav Dhillon | PERSON | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
SnapLogic | ORGANIZATION | 0.99+ |
Thailand | LOCATION | 0.99+ |
May | DATE | 0.99+ |
19 years | QUANTITY | 0.99+ |
Informatica | ORGANIZATION | 0.99+ |
UC Davis | ORGANIZATION | 0.99+ |
University of San Francisco | ORGANIZATION | 0.99+ |
iPhone | COMMERCIAL_ITEM | 0.99+ |
San Francisco | LOCATION | 0.99+ |
first time | QUANTITY | 0.99+ |
10 years ago | DATE | 0.98+ |
both | QUANTITY | 0.98+ |
Silicon Valley | LOCATION | 0.98+ |
Moscone Center | LOCATION | 0.98+ |
Gaurav | PERSON | 0.98+ |
Jump | PERSON | 0.98+ |
AWS Summit | EVENT | 0.97+ |
CUBE | ORGANIZATION | 0.97+ |
today | DATE | 0.96+ |
#AWSSummit | EVENT | 0.94+ |
AWS Summit 2017 | EVENT | 0.93+ |
Amazon Web Services Summit | EVENT | 0.93+ |
Couple weeks | QUANTITY | 0.93+ |
USF | ORGANIZATION | 0.92+ |
Iris | TITLE | 0.92+ |
One | QUANTITY | 0.91+ |
first product feature | QUANTITY | 0.89+ |
AWS Summit SF 2017 | EVENT | 0.87+ |
last two years | DATE | 0.83+ |
theCUBE | ORGANIZATION | 0.8+ |
JSON | OTHER | 0.76+ |
Iris | ORGANIZATION | 0.73+ |
REST | OTHER | 0.67+ |
one of these | QUANTITY | 0.66+ |
Kick off - AWS Summit SF 2017 - #AWSSummit - #theCUBE
>> Announcer: Live from San Francisco, it's the Cube, covering AWS Summit 2017. Brought to you by Amazon Web Services. >> Hi, welcome to the Cube. We are live in San Francisco, at the Amazon Web Services Summit, 2017 AWS Summit. I'm Lisa Martin, with my co-host Jeff Frick. We've got George Gilbert here, as well. Packed house here. We all just came from the keynote, where there were some fantastic announcements. Lot of passion, Dr. Werner Vogels, the CTO and VP at AWS did a fantastic keynote, and some of the themes that I heard, guys, were really customers, customers, customers. We know how obsessed AWS is with customers. A lot of great announcements, all really substantiated by phenomenal customers from enterprise, startups, public sector. We've obviously seen how quickly they've been innovating. They've done a fantastic job turning this first mover status into sustained market leadership. What are some of the things, Jeff, that really kind of caught your eye in the CTO's keynote this morning? >> Lisa, the thing that I was actually taken back to Tuesday night with James Hamilton at AWS re:Invent, which if you are not going to re:Invent, you should register just for that. And really, the idea is that scale just trumps everything. And because Amazon has so many customers in so many areas, they can apply such scale to all their infrastructure, across such a broad array of services. I mean, all the slides that Werner kept popping up had so many little squares, 'cause they have so many services, so if you need fast I/O, you need fast compute, you want facial recognition, you want machine learning, they have a set of services for you. So a lot of people talk about the application-centric view of the world, but Amazon is actually delivering that to people, and they had Nextdoor app as kind of their showcase customer where they focus on the application, because Amazon does the rest, and now I thought it was interesting now they're moving into the development sphere. So now you can do your native development in AWS. Again, use that set of services that most apply to the applications you're building, and focus on your application and your customer. I mean, how do you compete with the scale? And who wants to compete in infrastructure scale if you're a company that's building a web-centric or native application? The other thought I think was interesting, at the beginning, he had his NASCAR slides, his logo slides, went through the startups, great, went through the enterprises, great, went through public sector, great, went through ISVs, great, went through system integrators, great. I mean, the ecosystem is phenomenal. So again, James Hamilton, I just love his talks, but the amount of resources he can apply to his business problems, compared to any individual company, it's just, you can't even compare. What'd you think, George? >> I look at the capabilities, the top three vendors are providing. You know, Amazon, Azure, and Google. And they each bring some different strengths to bear. Google is still building out for commercial access to services that they built internally for their own use. So you have what's a spectacular relational database that's globally distributed, called Spanner, but it's not actually something that commercial customers are used to. That's was built really for Google internal gurus. Now, it's in many ways better than anything that commercial developers have access to, but it's a bit of a migration hurdle in terms of learning. So, now, Amazon took, they took their internal infrastructure, but they built it so much differently. It wasn't meant to sort of stretch the capabilities of their internal developers and external developers. But they've been getting richer over time. Let's just use an example of a product that got significantly enhanced today. Redshift, which with, they called it Spectrum. Redshift used to be a traditional MPP data warehouse, and its data was tied into the same servers, or nodes, as the compute analytic functions. And so it was not that elastic, it was almost like a on PRIM product ported to the cloud, but they've been improving it, and today, there was a huge step forward where they put the storage on S3, which is completely separate from the sequel, Compute. And so now they go from what was essentially data warehouse that can max out at two petabytes to something that can go to the exabyte range. And because the data's on a cheap S3 storage, you can spend the compute down, and then you're just essentially paying for archive. So that's something that now looks more like Snowflake which was the best in class cloud data warehouse up until this point. Now there, I'm sure, are many other differences. But Amazon has that iteration to taking more and more advantage of taking what were conventional products and turning them into, you know, cloud ready services. >> You mention the re:Invent show last November. 32,000 attendees, sold out. >> Right, right. >> Lisa: And then 50,000 watching the livestream of the keynote. Andy Jassy was on the Cube talking with John and one of the things that I found interesting about that and also, some recent press that Andy has done is talking about how, which they're normally very customer focused, and the theme today was customer obsession, which I think we saw with all those logos up there. But they talk about, they don't really talk about competition. What, one of the things that I found interesting was that Andy has talked recently about them being six to seven years ahead of their competition. We see them continue to innovate. Add capabilities, add technology integrations. Jeff, you mentioned the ecosystem partners growing. We've had a number of them on the show today. They're so far ahead of competitors. And kind of going off what you said about Google, George. Amazon is now starting to productize some of the technologies like Amazon Connect that was announced last month, a virtual call center, that they use in-house, which is something we hadn't seen from a Google yet. >> That's a great point. And that was actually one of the differences, that I didn't get to sort of talking database. But both companies or all, Amazon, Azure, Google, IBM, all have really advanced machine learning, essentially engines and algorithms. But what makes machine learning really useful as the data is when you combine those with the data that trains those algorithms. And that's what makes essentially application ready services. Otherwise it's just tooling. And Google can leverage its data for, from search, from voice search, from video and image recognition with YouTube. So it has a bunch of machine learning services that are good for a conversational user interface and a visual user interface, but what Amazon is going... Amazon is leveraging the Alexa and Echo product to get, to train their natural language understanding and speech to text, text to speech. So that was added to today. But the thing that they're doing that's really interesting that Google and Microsoft can't yet is they're taking the machine learning capabilities that they use for fashion merchandising, price optimization, fulfillment, and they're going to be taking those and putting them out on AWS for developers to use just the way they their compute and basic software middleware and put them out for other companies to use. So in other words, they're going to take some of their core, most core mission critical, machine learning capabilities and open them up for others. But the key thing is they're trained on Amazon data so that they're immediately useful by corporate developers, not data scientists. And that's something in those areas where Amazon's unique. Every cloud vendor will have their, you know, areas of data where they can make it accessible to corporate developers. But Amazon has a unique set. >> And the other thing we talk often about, founder-led companies. And I think the culture thing, it just can't be overstated. Recently, Jeff Bezos says day one, you know, kind of internal memo is making the rounds again on social media. So I took a minute to reread it and you know, we talk often on the key of are we in the first inning, are we in the second inning or the third inning of whatever trend we happen to be covering, and I think his attitude that it's always day one is pretty significant. And you can't bet against the guy. That's why I love to say never bet against Bezos, 'cause he's got a vision, he's got to execute it. And the team that he's put in place with Andy, you know, it's just a quiet execution. Like you said, they don't really look at the competition. That's not who they're competing against. Werner said it today. They're competing against time. And their customers are competing against time. And I thought the examples again, from the keynote of next door about the time compression for all the various processes in their company were giant, which allow again, better application development. It allows their customers to better serve their customers. And I don't think that can be really overstated. And you don't get that as much in Google, where you know, Google Cloud is a different thing and they brought in new leadership. Obviously Satya has done a hell of a job turning Microsoft around from what it was before. But you know, you just see this quiet, confident execution within AWS team that I think is pretty special. >> There's one thing... Oh, sorry Lisa, let me just add on that execution point and the lead that they have over the competition. Internally, Andy Jassy tells his team there's no compression algorithm for a lead time of six years. It's not like just because Azure got started a little bit later, and they know what things are going to look like sooner because they can see the future before Amazon had to wait ten years to get there. That, you still have to go through that learning curve. And in other words what he's trying to say is their lead is, it's not, they can maintain their lead just by continuing to execute that flywheel affect that Jeff was talking about. >> Right and they continue to innovate. One of the things that I know that Jeff, you and John, George, have been following AWS since symphysis ten years ago. And they continue to innovate, they continue to add integrations. One thing that I was particularly interested in and just doing some prep for today's event is what they announced with VMware a few months ago. VMware vSphere base cloud services. Is that a... Couple things. Is that a foray to be able to bring VMware legacy customer applications into the cloud? Is that maybe a step towards saying hey, we're ready to start taking our customers to hybrid cloud? I'm curious to hear from some of our guests today what they think the next steps are. It wasn't talked about in the keynote but if you talk about competition, or rather growth, one of the areas that they've really excelled in obviously with the developer community and the start-ups, where they started is in greenfield, right. They have a great rich set of application developmentals, ideal for cloud development, ideal for greenfield. If you look at the legacy application space, you might think Microsoft, IBM, do they have an advantage there. But now what Amazon's doing in hopefully later this year with VMware is that, a bat signal. That hey, we're ready to take these customers and their legacy applications into the cloud as a competitive signal or really as a signal to hey, customers, we're ready to take you to the hybrid cloud. What are your thoughts on that? >> I guess that they started with start-ups. They were the ones who were the most demanding on the infrastructure because they were greenfield apps. And so there was, you know, they needed to go beyond the constraints of legacy systems. And in fact, Satya Nadella said of Azure, we need our Netflix, which was, you know the lighthouse customer for Amazon that was always pushing the envelope of what was possible. What's happening now though is that there was this journey that I just want to touch on that there was a pre-brief yesterday about the sort of the typical customer journey where they start with dev test workloads, then they go to new greenfield apps, then digital experience and user experience, then analytics and mobile. And what's now happening is that we're getting to the mission critical systems. And that's why like we heard a lot on database issues. 'Cause that's where, application databases are the foundation of mission critical apps. >> Speaking of that, I think, well we're really excited. We have a great guest line up today. We've got Splunk's CMO on the show. We've got a number of ecosystem partners. Datadog as well, so guys I think it's going to be a fantastic day. A lot to talk about. Really excited to hear about a lot of the innovation, the evolution that's going on and where these partners are going to be able to take their customers next. So, you're watching the Cube. Again, we're live at the Amazon Web Services Summit in San Francisco for George Gilbert and Jeff Frick, I'm Lisa Martin. Stick around, we'll be right back. (techno music)
SUMMARY :
Brought to you by Amazon Web Services. and some of the themes that I heard, guys, And really, the idea is that scale just trumps everything. And they each bring some different strengths to bear. You mention the re:Invent show last November. And kind of going off what you said about Google, George. as the data is when you combine those And the team that he's put in place with Andy, and the lead that they have over the competition. Right and they continue to innovate. And so there was, you know, they needed to go of the innovation, the evolution that's going on
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Jeff | PERSON | 0.99+ |
Jeff Frick | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Lisa Martin | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
James Hamilton | PERSON | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
John | PERSON | 0.99+ |
George Gilbert | PERSON | 0.99+ |
Jeff Bezos | PERSON | 0.99+ |
Andy | PERSON | 0.99+ |
Lisa | PERSON | 0.99+ |
Satya Nadella | PERSON | 0.99+ |
Andy Jassy | PERSON | 0.99+ |
George | PERSON | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
Bezos | PERSON | 0.99+ |
six | QUANTITY | 0.99+ |
San Francisco | LOCATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
ORGANIZATION | 0.99+ | |
ten years | QUANTITY | 0.99+ |
six years | QUANTITY | 0.99+ |
Werner | PERSON | 0.99+ |
Tuesday night | DATE | 0.99+ |
second inning | QUANTITY | 0.99+ |
Werner Vogels | PERSON | 0.99+ |
yesterday | DATE | 0.99+ |
third inning | QUANTITY | 0.99+ |
last month | DATE | 0.99+ |
YouTube | ORGANIZATION | 0.99+ |
Echo | COMMERCIAL_ITEM | 0.99+ |
Netflix | ORGANIZATION | 0.99+ |
first inning | QUANTITY | 0.99+ |
two petabytes | QUANTITY | 0.99+ |
seven years | QUANTITY | 0.99+ |
32,000 attendees | QUANTITY | 0.99+ |
today | DATE | 0.98+ |
VMware | ORGANIZATION | 0.98+ |
ten years ago | DATE | 0.98+ |
50,000 | QUANTITY | 0.98+ |
Amazon Web Services Summit | EVENT | 0.98+ |
Azure | ORGANIZATION | 0.97+ |
one | QUANTITY | 0.97+ |
One | QUANTITY | 0.97+ |
last November | DATE | 0.97+ |
David Richards, WANdisco - #AWS - #theCUBE - @DavidRichards
>> Announcer: Live from San Jose, in the heart of Silicon Valley, it's theCUBE. Covering AWS Summit 2016. (upbeat electronic music) >> Hello everyone, welcome to theCUBE. Here, live in Silicon Valley, at Amazon Web Services, AWS Summit, in Silicon Valley. I'm John Furrier, this is theCUBE, our flagship program. We go out to the events and extract the signal from the noise. I'm here with my co-host. Introducing Lisa Martin on theCUBE, new host. Lisa, you look great. Our first guest here is David Richards, CEO of WANdisco. Welcome to theCUBE, good to see you. >> Good to see you, John, as always. >> So, I've promised a special CUBE presentation, $20 bill here that I owe David. We played golf on Friday, our first time out in the year. He sandbagged me, he's a golfer, he's a pro. I don't play very often. There's your winnings, there you go, $20, I paid. (smooching) (laughing) I did not well challenge your swing, so it's been paid. Great fun, good to see you. >> It was great fun and I'm sorry that I cheated a little bit, mirror in the bathroom still running through your ears. >> I love the English style. Like all the inner gain and playing music on the course, it was great a great time. When we went golfing last week, we were talking, just kind of had a social get-together but we were talking about some things on the industry mind right now. And you had some interesting color around your business. We talked about your strategy of OEMing your core technology to IBM and also you have other business deals. Can you share some light on your strategy at WANdisco with your core IP, and how that relates to what's going on in this phenom called Amazon Web Services? They've been running the table on the enterprise now and certainly public cloud for years. $10 billion, Wikibon called that years ago. We see that trajectory not stopping but clearly the enterprise cloud is what they want. Do you have a deal with Amazon? Are you talking to them and what is that impact your business? >> Well I mean the wonderful thing is if you go to AWS Marketplace, you go to that front page, we're one of the feature products on the front page of the AWS Marketplace, so I think that tells you that we're pretty strategic with Amazon. We're solving a big problem for them which is the movement of data in and out of public cloud. But you asked an interesting question about our business model. When we first came into the whole big date marketplace we went for the whole direct selling thing like everybody does, but that doesn't give you a lot of operational leverage. I mean we're in accounts with IBM right now, you mentioned earlier, MR technology. At a big automotive company they have 72 enterprise sales guys, 72. We could never get to that scale any time soon. >> And you have relationships too. So it's not like they like, you know, just knocking on doors selling used cars. They are strategic high-end enterprise sales. >> Exactly. That gives us a tremendous amount of operational leverage and AWS is one of the great stories, will be one of the great IT stories of the century. To go from zero to 15 billion. If AWS was an independent company, faster than any other enterprise software company in the history of mankind, is just incredible. >> Yeah, well, enterprise obviously, they care about hybrid cloud, which you know all about through your IBM relationship. Andy Jassy at Amazon, the CEO now of Amazon. Newly announced title, he's certainly SVP, basically he's been the CEO of Amazon. He's been on record, certainly on stage, and on theCUBE saying, why do even companies need data centers? That kind of puts you out of business. You have a data center product, or is the cloud just one big data center? Will there ultimately be no data center at all? What's your thoughts? >> That's a great question. We see the cloud as just one great big data center or actually many great big data centers. And how you actually integrate those together, how you move data between data centers, how you arbitrage been cloud vendors. Are you really going to put all your eggs into one basket? You're going to put everything into AWS. Everything into Azure. I don't think you will. I think you'll need to move data around between those different data centers and then how about high availability? How do you solve that problem? Well WANdisco solves that problem as well. >> So a couple of questions for you David. One of the things that Dr. Wood said in the keynote today was friends don't let friends build data centers. So I wanted to get your take on that as well as from an IBM perspective. We just talked about the OEM opportunity that you're working there to get to those large enterprises. Does that mean that you're shifting your focus for enterprise towards IBM? Where does that leave WANdisco and Amazon as we see Amazon making a big push to the enterprise? >> So I think that was some big news that came out last week that was missed largely by the industry, which was the FCA, the financial regulatory authority in the United Kingdom, came out and said, we see no reason why banks cannot move to cloud from a regulatory perspective. That was one of the big fears that we all had which is are banks actually going to be able to move core infrastructure into a public cloud environment? Well now it turns out they can. So we're all in on cloud. I mean, we can see, if you look at the partnerships that we're focused on, it's the sort of four/five cloud vendors. It's the IBM, the AWS, Azure, Oracle, when they finally built that cloud, and so on. They're the key partnerships that we see in the marketplace. That will be our go-to market strategy. That is our go-to market strategy. >> So one of the things that's clear is the data value and you do a lot of replications. So one of the things that, I forget which CUBE segment we've done over the years, that's Hurricane Sandy I think it was, in New York City. You guys were instrumental in keeping the up-time and availability. >> Lisa mentioned, Amazon vis-a-vis IBM, obviously two different strategies, kind of converging in on the same customer. Amazon's had problems with availability zones and they're rushing and running like the wind to put up new data centers. They just announced a new data center in India just recently. Andy Jassy and team were out there kicking that off. So they're rushing to put points of presence, if you will, for lack of a better word, around the world. Does that fit into your availability concept and how do customers engage with you guys with specifically that kind of architecture developing very fast? >> I think that's a really great question. There are problems, there have been historic problems with general availability in cloud. There are lots of 15-minute outages and so on that cost billions and billions of dollars. We're working very closely and I can't say too much about it with the teams that are focused on enabling availability. Clearly the IBM OEM is very focused on the movement of data from the hybrid cloud, I'm from a data availability perspective. But there's a great deal of value in data that sits in cloud and I think you'll see us do more and more deals around general cloud availability moving forward. >> Is there a specific on that front project that you can share with us where you've really helped a customer gain significant advantage by working with AWS and facilitating those availability objectives, security compliance? >> So, one of the big use cases that we see, and it's kind of all happening at once really, is I built an on-premise infrastructure to store lots and lots of data, now I need to run compute and analytics against that data and I'm not going to build a massive redundant infrastructure on-premise in order to do that, so I need to figure out a way to move that data in and out of cloud without interruption to service. And when we are talking about large volumes of data, you simply can't move transactional data in and out of cloud using existing technology. AWS offers something called Snowball where you put it into a rugged ICE drive and then you ship it to them, but that's not really streaming analytics is it? Most of our use cases today are either involved in either the migration of data from on-premise into cloud infrastructure, or the movement of data for an atemporal basis so I can run compute against that data and taking advantage of the elastic compute available in cloud. They are really the two major use cases that web, and we're working with a lot of customers right now that have those exact problems. >> So majority of your customers are more using hybrid cloud versus all in the public cloud? >> Hybrid falls into two categories. I'm going to use hybrid in order to migrate data because I need to keep on using it while it's moving. And secondly I need to use hybrid because I need to build a compute infrastructure that I simply can't build behind firewall. I need to build it in cloud. >> So the new normal is the cloud. There was a tweet here that says, database migration, now we can have an Oracle Exadata data dispute that we're ready to throw into the river. (David laughs) Database migration is a big thing and you mentioned it on the first question that moving in and out of the cloud is a top concern for enterprises. This is one of those things, it's the elephant in the room, so to speak. No pun intended AKA Hadoop. Moving the data around is a big deal and you don't want to get a roach motel situation where you can check in and can't check out. That is the lock-in that enterprise customers are afraid of with Amazon. You're thoughts there, and what do you guys offer your customers. And if you can give some color on this whole database migration issue, real, not real? >> The big problem that the Hadoop market has had from a growth perspective is applications. And why they had a problem, well it's the concept of data gravity. The way that the AWS execs will look at their business the way that the Azure execs will look at their business at Microsoft. They will look at how much data they actually have. Data gravity. The implication being if I have data then the applications follow. The whole point of cloud is that I can build my applications on that ubiquitous infrastructure. We want to be the kings of moving data around right? Wherever the data lands is where the applications follow. If the applications follow, you have a business. If the applications don't follow, then it's probably a roach motel situation, as you so quaintly put it. But basically the data is temporal. It will move back to where the applications are going to be. So where the applications are, and it's who is going to be the king of applications, will actually win this race. >> So, question, in terms of migration, we're hearing a lot about mass migration. Amazon's even doing partner competency programs for migration. Not to trivialize it, talk to us about some of the challenges that you are helping customers overcome when they sort of don't know where to start when it comes to that data problem? >> If it's batch data, if it's stuff that I'm only going to touch if it's an archive, that I only going to touch once in a blue moon, then I can put it into Snowball and I can ship my Snowball device. I can sort of press the pause button akin to when I'm copying files into a network drive where you can't edit them, and then wait for two months, three months. Wait for them to turn up in AWS and that's fine. If it's transactional data where maybe 80% of my data set changes on a daily basis and I've got petabyte scale data to move, that's a hard problem. That requires active transactional data migration. That's a big mouthful, but that's really important for run-time transactional data. That's the problem that we solve. We enable customers, without interruption to service to move a massive scale active transactional data into cloud without any interruption of service. So I can still use it while it's moving. >> One of the things we were talking about before you came on was the whole global economy situation. I think a year and a half ago, or two years ago, you predicted the housing bubble bursting in London. You're in the London Exchange, you're a public company. Brexit, EU. These are huge issues that are going to impact, certainly North America looking healthy right now but some are saying that there's a big challenge and certainly the uncertainty of the U.S. presidency candidates that are lack of thereof. The general sentiment in the U.S. We're in a world of turmoil. So specifically the Brexit situation. You guys are in London. What does this impact your business and is that going to happen? Or give us some color and insight into what the countrymen are thinking over there. >> Okay, so, I get asked by, I live here of course, and I've lived here for 19 years. It feels like I'm recolonizing sometimes, I have to say. No, I'm joking. I get asked by a lot of Americans what the situation is with Brexit and why it happened. And for that you have to look at economics. If you sort of take a step back, in Northern Europe nine of the 10 poorest parts of Northern Europe are in the U.K. And one, only one of the top 10 richest parts is in the U.K. and that's London. So basically outside of London the U.K. has a really big problem. Those people are dissatisfied. When people are dissatisfied, if they're not benefiting from an economic upturn, if governments make it, like the conservative government for the past four years made huge cuts, those people don't benefit, and they really feel pissed off and they will vote against the government. >> John: So protest vote pretty much? >> Brexit was really, I think, a protest vote. It's people dissatisfied. It's people voting basically anti-immigration which is, being in the U.S., is a really foreign thing to us. >> But there are some implications to business. I mean obviously there's filings, there's legal issues, obviously currency. Have you been impacted positively, negatively and what is the outlook on WANdisco's business going forward with the Brexit uncertainty and/or impact? >> We're in great shape because we buy pounds. We buy labor that's now discounted by 20% in the U.K. I just got back from the U.K. If you want to go on vacation, Americans, anywhere, go to London this summer and go shopping because everything is humongously discounted for us American's right now. It's a great time to be there. So from a WANdisco perspective-- >> John: How does that affect the housing bubble too? >> I said to you about a year ago that the London housing market was akin to the jewelry shops that existed in Hong Kong a few years ago, where the Chinese used to come over and basically launder money by buying huge diamonds and bars of gold and things. If you look at the London housing market it is primarily fueled by the Saudis and by the Russians who have been buying Hyde Park Corner 100 million pounds, $160 million, well $140 million now, apartments and so on in London. Now seven, and I repeat seven housing funds in the U.K. last week canceled redemptions. Which means that they can foresee liquidity problems coming in those funds. I think you're about to see a housing crash in London, the like of which we've never seen before, and I think it would be very sad and I think that will make people really question the Brexit decision. >> John: So sell London property now people? >> Yes. >> Before the crash. >> And go shopping, I heard the go shopping. So following along that, you talked about the significant differential between London and the rest of the U.K. You're from Sheffield, you're very proud of that. You've also been proud of your business really helping to fuel that economy. How do you think Brexit is going to affect WANdisco in your home area of Sheffield. >> I don't think it really will. I think our employees there, relative terms, very well paid. They're working on interesting things. They're working very closely with the AWS team, for example, the S3 team, the MR team. And building our technology, we're liaising very closely with them. They're doing lots of interesting things. I suspect their vacations into Europe and their vacations to the United States have just gone up by about 20% which will reduce the amount of beer that they can drink. It's a big beer drinking part of the world in Sheffield. Sheffield is, in terms of cost of living, is relatively low compared to the rest of the U.K. and I think those people will be pretty happy. >> David, I appreciate you coming on theCUBE. I want to give you the final word here on the segment because you're a chief executive officer of a public company. You've been in the industry for awhile. You've seen the trials and tribulations of the Hadoop ecosystem. Now basically branded as the data ecosystem. As Hortonworks has recently announced, Hadoop Summit is now being called Data Works Summit. They're moving from the word Hadoop to Data. Clearly that's impacting all the trends. Cloud data, mobile is really the key. I want you, and I'm sure you get this question a lot, I would like you to take a minute and explain to the audience that's watching, what's this phenom of Amazon Web Services really all about? What's all the hub-bub about? Why is everyone fawning over Amazon now? When you go back five years ago, or 10 years ago when it started, they were ridiculed. I remember when this started I loved it, but they were looked at as just a kind of a tinkering environment. Now they're the behemoth and just on an unstoppable run and certainly the expansion has been fantastic under Andy Jassy's leadership. How do you explain it to normal people what's going on at Amazon? Take a minute please. >> So Amazon is, and that's a brilliant question, by the way. Amazon is the best investor-relation story ever, and I mean ever. What Bezos did is never talked about the potential size of the market. Never talked about this thing was going to generate lots of cash. He just said, you know what, we're building this little internet thing. It might, it might not work. It's not going to make any money. And then in the blink of an eye, it's a $15 billion revenue business growing faster than any other part of his business and throwing off cash like there's no tomorrow. It is just the most non-obvious story in technology, in business, of any public company ever. I mean AWS, arguably, as a stand alone entity, is almost worth as much as Oracle. An unbelievable, an unbelievable story and to do that with all the complexity. I mean mean running a public company with shareholder expectations, with investor relations where you have to constantly be positive about what's going on. For him to do that and never talk about making a profit, never talk about this becoming a multi-billion dollar segment of their business, is the most incredible thing. >> So they've been living the agile. Certainly that's the business story, but they've been living the agile story relative to announcing the slew of new products. Basic building blocks S3, EC2 to start with, as the story goes from Andy Jassy himself, and then a slew of new services. It's a tsunami of every event of new services. What is the disruptive enabler? What's the disruption under the hood for Amazon? How do you explain that? >> Well, I mean what they did is they took a really simple concept. They said, okay, storage, how do we make storage completely elastic, completely public, in a way that we can use the public internet to get data in and out of it. Right? That sounds simple. What they actually built underneath the covers was an extremely complex thing called object store. Everybody else in the industry completely missed this. Oracle missed it, Microsoft missed it, everybody missed it. Now we're all playing catch-up trying to develop this thing called object store. It's going to take over, I mean, somebody said to me, what's the relevance of Hadoop in cloud? And you have to ask that question. It's a relevant question. Do you really need it when you've got object store? Show me side-by-side, object store versus every, you know, Net Apple, Teradata, or any of those guys. Show me side-by-side the difference between the two things. There ain't a lot. >> Amazon Web Service is a company that can put incumbents out of business. David, thanks so much. As we always say, what inning are we in? It's really a double-header. Game one swept by Amazon Web Services. Game two is the enterprise and that's really the story here at Amazon Web Services Summit in Silicon Valley. Can Amazon capture the enterprise? Their focus is clear. We're theCUBE. I'm John Furrier with Lisa Martin. We'll be right back with more after this short break. (techno music)
SUMMARY :
in the heart of Silicon and extract the signal from the noise. there you go, $20, I paid. mirror in the bathroom still and how that relates to what's going on on the front page of the AWS Marketplace, So it's not like they like, you know, and AWS is one of the great stories, basically he's been the CEO of Amazon. We see the cloud as just One of the things that Dr. authority in the United Kingdom, So one of the things and how do customers engage with you guys the movement of data of the elastic compute I need to build it in cloud. the room, so to speak. the way that the Azure execs will look some of the challenges that I can sort of press the pause button and is that going to happen? of Northern Europe are in the U.K. is a really foreign thing to us. Have you been impacted I just got back from the U.K. Saudis and by the Russians between London and the rest of the U.K. of the world in Sheffield. and certainly the expansion It is just the most non-obvious story What is the disruptive enabler? the public internet to that's really the story here
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
David | PERSON | 0.99+ |
Europe | LOCATION | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
John | PERSON | 0.99+ |
London | LOCATION | 0.99+ |
Amazon Web Services | ORGANIZATION | 0.99+ |
FCA | ORGANIZATION | 0.99+ |
Andy Jassy | PERSON | 0.99+ |
David Richards | PERSON | 0.99+ |
Lisa Martin | PERSON | 0.99+ |
80% | QUANTITY | 0.99+ |
India | LOCATION | 0.99+ |
Microsoft | ORGANIZATION | 0.99+ |
$20 | QUANTITY | 0.99+ |
two months | QUANTITY | 0.99+ |
zero | QUANTITY | 0.99+ |
Lisa | PERSON | 0.99+ |
Oracle | ORGANIZATION | 0.99+ |
U.K. | LOCATION | 0.99+ |
three months | QUANTITY | 0.99+ |
seven | QUANTITY | 0.99+ |
Hong Kong | LOCATION | 0.99+ |
David Richards | PERSON | 0.99+ |
New York City | LOCATION | 0.99+ |
20% | QUANTITY | 0.99+ |
John Furrier | PERSON | 0.99+ |
Sheffield | LOCATION | 0.99+ |
Silicon Valley | LOCATION | 0.99+ |
$15 billion | QUANTITY | 0.99+ |
Wood | PERSON | 0.99+ |
United States | LOCATION | 0.99+ |
WANdisco | ORGANIZATION | 0.99+ |
$160 million | QUANTITY | 0.99+ |
last week | DATE | 0.99+ |
$140 million | QUANTITY | 0.99+ |
$10 billion | QUANTITY | 0.99+ |
19 years | QUANTITY | 0.99+ |
San Jose | LOCATION | 0.99+ |
Friday | DATE | 0.99+ |
Silicon Valley | LOCATION | 0.99+ |
Ariel Kelman, AWS | AWS Summit 2014
>>Hey, welcome back and roll here. Live in San Francisco for Amazon web services summit. that's the hashtag. Go on Twitter. Go to crowd chat.net/aws summit. Rolling a special crowd chat document in the conversation. According every tweet in that room, join that community. I'm John furry, the founder's Silicon angle. This is the cube, our flagship program. We go out to the events and extract the signal from the noise. I'm joined my cohost, Jeff Frick filling in for Dave Volante. Uh, Jeff, always hard to fill up with Dave a lot day. Um, who was on those per, it doesn't look good on you. I know you're from California and Ariel Ariel Kelman worldwide marketing lead head of worldwide. Margaret Amazon. Welcome back to the cube. Thanks for having me. You were here last less than that. Reinvent, um, kinda markets itself, the company. I mean, you just tried to features out there on stage and keep on pushing new. What we try and do is lean back and just like the customers' testimonials. Let me come on. >>Yeah, I mean we try and just focusing on educating our customers. About what our services are doing, how customers are using them, which is something they ask for a lot. And then, you know, go pretty light on the marketing. Most technical people don't like to be marketed to and they find our approach quite refreshing. >>And when you're in the lead, you don't need to really worry about too much layer. You've got some meat on the bone, you've got great use cases, you've got great technology and a market leader in cloud and you're forging it a new territory. So there is a new element in the enterprise now coming in where you guys are being attacked. Certainly in the market. Google had some moves this week, as you can see, know IBM is doing HP, Oracle, the list goes on and on. So okay, those guys are kind of putting up the seawall for the big innovation way that you guys have built. The question is will it last? And so there is people really moving quickly to Amazon. The customer uptake is pretty comprehensive. So I'd say it's mainstream. So now as you go to the enterprise, you've got to do some messaging, right? You gotta you gotta have the innovation message. So what is the core opportunity for you there? >>There's a couple of things in the enterprise I think, you know, first of all we're helping people save money. We have organizations like Dow Jones that predict they're going to save over a hundred million dollars essentially by shutting down data centers and moving more of their infrastructure to the cloud. But I think the real interesting part is how we make these companies more innovative that if we can lower the cost of using technology to roll out their new projects, then essentially we take the cost of experimentation and have it almost approach zero. So then now if you want to try something new, the costs of failure aren't so high that they prevent people from sticking their neck out of the line and trying new things. And so we see a lot of these companies are adopting us more heavily. Their culture is changing their employees or are excited about trying things because when they try something out, the cost of failure is a fraction of what it was before because they don't have to buy servers. >>Delta buys all this equipment, get data center space, they can try something quickly. If it works, great, they expand. If not, they don't have to live with all this expense that they tried it out. So it's increasing the pace of innovation and also allowing more people in the company to be able to try new things, involve technology because we're eliminating these gatekeepers where before if you get a project required a lot of money, a lot of infrastructure, think about the committees you have to go, all the justifications. But if anyone could go spin up these resources with self-service, totally changed the dynamics of who can innovate. >>Yeah. I mean the whole try before you buy the puppy dog close as they used to say in the sales tactics is, let me try it before you buy it. Yeah. Shadow it as the, legitimize the fact that for very little cost and collateral damage, as Andy talks about, you can get something up and running pretty quickly. So the old I, that'll never work. Comment. That's a killer phrase of innovation gets eliminated because, no, no, no, I already tried it. Here's the numbers. Is that, is that a big part of it too? >>I'm a little bit, I mean it's almost like we need a new term there. There's, you know, people talk about shadow it and what we typically see is that once you give the CIO the keys to the cloud infrastructure and you set up a governance approach where you can decide what people can do, how much money they can spend, what things they can try. Um, then you get the best of both worlds. You still have a vetted platform from a security perspective. You have governance controls and sure people doing the right thing, but then it doesn't have to say, no, sorry, you've got to wait in line. You got to wait till next year. Um, so that is the new model that we're seeing where you're seeing developers distributed across the organization and smaller official it departments, but more people doing it stuff in the company because everyone can have access to infrastructure when they go big on cloud, especially with AWS. >>And are they getting it? Are the corporate it guys getting it that this is a good thing for them and they can leverage this to actually add more value in the company and enable more at the end of the day. More ideas. Yeah, absolutely. The companies that we talked to, look, they've got a lot of questions. If you're a big organization, you want to know if we can meet your security requirements, your compliance requirements. Can you run a sends Alaska? Well look, we want to do two things. We want to run the software the last 20 years in the cloud. Can you help us with that? And then we want to build these new cloud native applications so we can be as agile and efficient as some of these new internet startups that now we're competing with. And so we spent a lot of time with them to talk through what it should do first, how I should think about it, what apps make sense to run on us and, and you know, more importantly with the sequences, which lady first us should ask us. Like we want to go, we've, we've played around, we've tested, we've had lots of developers using this for years, but now we want to go big. I having a material percentage of our infrastructure in the cloud so we can fundamentally change how it adds value to the business. And like those are the conversations we love having the customers. >>I want to ask you about just to show by, just to get, check this out. Check the box on the interview here because I want to make sure people can understand Amazon. Reinvent your mega show. That's your global conference. And why don't you explain, explain, reinvent versus the, >>sure. So the AWS summits, um, it's our three one day event, uh, that we do maybe like 14, 15 around the world. It's two purposes. One for people that are new to AWS, they can come in one day, get an overview of what it's about, how to use it and get inspired on what they can do with it. And then for our existing customers who are having users, they get an update on what's new, which may sound kind of tactical, but we released them, you gotta do stuff right. And so that's of my biggest challenge is how do we make sure that people know what all the new stuff is. They come here for one day, go to our keynote, go to a bunch of breakout sessions, do some training, and they get ramped up on everything we've done in the past year. Speaking of it, so we had you on last year and we were here. >>So what's been the big change from 2013 to 2014? I mean, we've had a lot of new services that we've released. We're going to new areas and think about Amazon workspaces. It's more of an it business application, right? Um, what you saw our demo today wasn't people coding. It was someone actually as an end user using, um, a virtual desktop on their iPad, on their computer. And so different types of applications, but we're, we're still going after that same goal, which is to allow these enterprise it organizations to take advantage of the cloud with more workloads. Essentially the larger percentage of their projects that they're doing that we can help them with, the happier they are with the relationship and the test, the test dev conversation seems to have simmer down quite a bit where it seemed like last year that was, and that was everybody's kind of testing waters. >>That's where you had initial traction, the initial shadowing it and that, that seems to really have dying down. And I mean, I think it's kind of gone mainstream or whatever is past mainstream where, you know, if you're a big SAP shop and your developers don't have their own SAP development environments, you're kinda, you're behind the curve. Same for Oracle, for SharePoint, if that's the new standard. Um, and so people don't talk about as much because they're already doing it. Right. It's, it's a, you know, the idea of well, you know, what are the big bets, um, you know, what should we use it for next? Should I do big data analytics using, um, like our Redshift product or should they build new high-scale web applications? Should this be my mobile infrastructure? That's where more of the conversation is coming on. Now >>Eric, I want to ask you about marketing and kind of one-on-one, you know, take me through the business school level marketing relative to your vision of Amazon and how the company's operating. I see Andy sets the tone up on stage, very customer centric. We hear all the people on Amazon talk about, Hey, we listened to the customer. They said they're tight on the messaging, they're really tight on the messaging. But you know, you starting to see, you know, tweets on the wild emerge. Like the new strategy for Amazon is price reduction as a service. And you know, it's like, so you seeing these messages come out. So is that, is that your plan to message just the price reduction to show the continuous improvement in terms of cost reductions and improvements in innovation and capability and just kind of be humble. >>So what, what our market organization is trying to do is to educate our customers in the easiest, most scalable way about what our services do, what are the best practices, how could they can use them and how they can save money near site. Andy talked about it a little bit earlier. We want our customers to feel like they're spending the least amount of money they need with us cause we want a longterm relationship and a price reductions. I mean it's probably one of the top three or four most boring parts of marketing AWS because every service team is trying to relentlessly take costs out of uh, their services. And when they get to a certain point, we pass those cost savings along to customers. It's kind of like clockwork two of them. Is that an internal metric for you guys? You guys all under pressure or mandated? >>That's just the DNA of the company. Let's get the cost out. Let's strap, distract away, cost and complexity. There's some bragging rights, little competition between the teams. How many price reductions have you done? I mean, it's a sign that they're being efficient and that they're making customers happy. It's a great metric. Price reduction and also feature increase. So again, now with flash, you start to see some new stuff hit the table. Yeah, that's part of the plan, right? Price reductions and more functioning. I mean the most, one of the most important parts of our overall strategy is to constantly innovate both on building new services, let people run more things in the cloud, but then also adding new functionality based on feedback we get from our customers. We'd like to release services relatively early versus sitting in an ivory tower trying to figure out what the perfect feature set is. >>We'll get this out early. Uh, get feedback from customers because you know, we're often surprised what people do with these services and uh, you know, they take on a life of their own. But ultimately that's how we get the best. You guys are like, you guys are like the big gorilla in the industry, but I was talking to someone last night at a VIP event, San Francisco, all these CEO of venture capitalists, Oh, Amazon, they loaded with money. You know, I'm like guys, they're like a lean startup. So that's pretty much the case. We've validated in talking to some folks, you guys are like a startup. I mean you're huge, you got great resources, but it's not like you're like Swoon and money thrown it around. You guys are very tight on budgets. You don't like just throwing around money. If you want to know about Amazon's culture, just type into Google, Amazon leadership principles. >>And there's about a, is it about a dozen or so core values? One of them is frugality. It's kind of, you know, part of how we operate the company and believe in what it means is that we only spend money on things that are useful to our customers. And that's a real good grounding. And then you see, we don't have 80 foot tall posters of our products or our executives here. You know, we spend the time on computers for people to do training and when we're planning events, we want to have everything focused on stuff that's useful to customers. We build the service too. We try and be relentless and driving cost out of our suppliers so we can pass on those costs and these customers. And it's just, you know, when you, um, when you operate a frugal fashion where you really think about costs, you end up being scrappy or, and you end up innovating more, it sends a good signal to your customer base because it's like a probably a laundry list of things that you guys have laid out then you still need to do and do innovate. >>Yes, exactly. If you wasting money on, you know, weirdness people that say, Hey, we didn't, why aren't they spending that energy on building new stuff? Exactly. Like we didn't 10 Howard street and close off the road to have a rock concert held companies. I mean, we have our crowd chat. Have you've seen that? We built that all on Amazon would not be possible without it. We hear testimony and testimonial customers saying, Hey, Amazon would have been 15 people minimum just to actually manage the gear on an offside without avatars. So yeah, it's just pretty massive. So, so with that, I got to ask you, the marketing question is how do you roll up all that Goodwill, Tony, when this great, great case study data you have? I mean referenceability it's not about, I mean, the number one marketing strategy we have is let our customers do the marketing for us. >>So I mean, part of why we do these events is to let our customers and people who are not customers yet interact with each other. And even when we have a reception and one of the best marketing strategies, if you have a product that people like is you combined your customers, your prospects and alcohol, and then they, you let them talk, right? You haven't asked questions. And that's how you get the relevant. Like, okay, you don't wanna believe our salespeople talk to our customers and really get a sense of what's going on. All right, there's too much smoke and mirrors. But these old guard hardware and software companies for much more open, much more transparent, um, because we believe in our, in our products and they're available for anyone. Anytime. It's almost like it's not even worth making up things that aren't true because anyone in the world can evaluate any of our services anytime they want. >>It's almost boringly boringly good. And you hear Andy talking about, well we did this for that. We did definitely, it was like a laundry list. I was listening to the keynote. I'm like, okay, he's going to stop now. Yeah, no, I'm just like, it's more and more just dropping, dropping more and more feature releases. Um, so obviously you guys are shipping more product. You reducing the prices for shipping. I mean, pushing on services. Yeah. You push code in the cloud, we can create a box for you. You can ship that ship means, you know, Sam sends send to the cloud. But that's the dev ops culture that DevOps culture is to be scrappy but think differently. So you guys are thinking differently. Like I gotta ask you, how do you thinking differently because it's clear and ecosystems developing around me and that's something that you do have to nurture. >>You have to invest in this community and you're helping them as business partners now, not just customers. Your customer base now spans the partners. Yeah. Have you balanced it? Still? Same philosophy. What tweaks if you've made your job and an organization based upon the tsunami of an ecosystem growth. I mean our customer ecosystem is really important to our strategy and to our customers. The way we think about it as a um, cloud's new and people are gonna need help. So from consulting firms, systems integrators, managed service providers, which is a really fast growing space. We want to make sure that when our customers want to bet big on AWS, there are those trusted people with certified engineers who can help them either in the short term or longterm basis. And then on the technology partner ISV side, we spent a lot of time making sure that we work collaboratively with these companies to pre sort of certify these applications to run on AWS. >>And then we create pre configured versions of them that run in our marketplace where our customers can browse through a catalog of software pre-configured or run in AWS. They can install with one click of the button and then it just shows up on their AWS bill. So we're trying to make it a lot easier for people to use a lot of these partners technology. And you know what, we're not going to come out with everything. You know, we'd like the creativity of our partners. The customers like to know if they, if they bet on AWS and they say, huh, you know, I wonder if you know, there's some good no SQL databases that run on AWS. Oh there's Mongo, there's Cassandra and whatever space you pick, there may be something we offer and there may be four or five other solutions from our partners. We love that choice because that's what customers ask us. Well, >>congratulations on all your success now. And my final question for you is really probably the hardest question and you can answer it or not answer it. Um, obviously the competitive landscape has significantly increased the heat in the kitchen around you guys for a while you were uncontested. Yes. Some people kind of pick an ankle biting around Amazon's, you know, leadership. But now you've got some pretty big players. IBM, HP, Oracle, Google, EMC, pivotal, VMware gunning, Rackspace, trickles, OpenStack, all of those kind of going around and no, you don't focus on competition and you focus on the customer. We've heard that before, but like you gotta think about that. That's going to put some pressure. How is that affecting you guys? I see you're mindful of it. Are you guys doing anything different to address it? >>I've never seen a market before where it wasn't healthy for both the leader and for the customers to have competition. And we've always expected this to be a market that would have multiple vendors. We look at our, every other technology, a space that was new and became large. There's multiple vendors and it, you know, it enhances innovation, keeps people honest. It's a good thing. >>So the final question then is what will you tell the folks out there who are watching? Is Amazon enterprise ready, um, what's going on right now? This event, you get the big announcements, give them a recap of what you guys did today and comment on the, on the Amazon is enterprise ready or the enterprise may be ready, not ready for the Amazon. So how do you respond to all that FID out? >>Yeah, I mean that was a question people asked a lot about us in the enterprise three, four years ago. I think we've invested a pretty big deal of our R and D over the past four or five years on just maniacally going through all these enterprise features. I mean, if you look at Gartner's magic quadrant for infrastructure and service, which is 100% designed for enterprise decision makers, we're, we're the faraway leader. Uh, and um, you know, we Mark off their checklist pretty well. And I think that's one of the reasons why we're really becoming the safe choice for it managers and large organizations, large enterprises, large government agencies. Um, I mean, my biggest point of advice is to take a look at our website and we're constantly coming out with new services. And if you haven't looked at this recently, I bet you're going to go there and find some things that you didn't know. Randomness and you'll get some ideas about new projects, new workloads that you can run in the cloud. >>Okay. Final word on re-invent to now. Three major things were announced Canisius app stream and workspaces. Are you happy with what's happened since then and now? It gives a quick guys a feeling of >>yeah, I mean the, the uh, we did a private beta for all three of them. We had a lot of participation. Uh, we showed in the keynote some of the real creative applications people are building with app stream where they're streaming very graphically intensive applications out to a variety of devices. Really making it easier for developers, workspaces, the interest. I've never seen a product like this before. Um, where the customer is in the private beta are just so excited about giving us some features, talk about how we can make it better. Um, tons of, tons of energy, tons of excitement. And Canisius is one of these things where, you know, we didn't know what to expect. I mean it's, it's a, a, a realtime analytics service to ingest massive amounts of data and you can build all kinds of apps on top of it. And I think, uh, one of the things we talked about today, uh, was a gaming company. Supersolid makes classic plans to take all the click stream and usage data of their application to figure all these intelligent endgame offers and how to make their games more efficient and more fun. And uh, that's the best part is when we can come out with technology that is pretty broad and can be used for a lot of things. And then we let customers be creative and we can see what they do. >>Then they do Italia. Luckily they generally anymore, right there you'll come and you actually have the hardest and easiest job in the world kind of at the same time. One is you just have great customers. You have the sizzle and the steak, as we say, meat on the bone. Um, great product mix. You guys introducing that stuff here, prices dropping and functionality increasing and innovation having the same time. It's actually quite an amazing thing. So we're really impressed. Again, we're happy customer with Bouchut that's coming on the cube. Again, appreciate it for having me. This is the cube. This is what we do. We go out to the events, we go where the action is, and the action is at Amazon web services summit in San Francisco. This is the cube. We'll be right back with our next guest after this short break.
SUMMARY :
I mean, you just tried to features out And then, you know, go pretty light on the marketing. So there is a new element in the enterprise now coming in where you guys are There's a couple of things in the enterprise I think, you know, first of all we're helping people save money. to be able to try new things, involve technology because we're eliminating these gatekeepers where before if you get a and collateral damage, as Andy talks about, you can get something up and running pretty quickly. the cloud infrastructure and you set up a governance approach where you can decide what people can do, I having a material percentage of our infrastructure in the cloud so we can fundamentally I want to ask you about just to show by, just to get, check this out. so we had you on last year and we were here. Um, what you saw our demo today wasn't people coding. the idea of well, you know, what are the big bets, um, you know, what should we use it for next? Eric, I want to ask you about marketing and kind of one-on-one, you know, take me through the business school level marketing Is that an internal metric for you guys? I mean the most, one of the most important parts of our overall strategy is to constantly innovate we're often surprised what people do with these services and uh, you know, they take on a life of their own. And then you see, we don't have 80 foot tall posters of our products or our executives here. I mean referenceability it's not about, I mean, the number one marketing strategy we have is let our customers do the marketing And that's how you get the relevant. You can ship that ship means, you know, Sam sends send to the cloud. Have you balanced it? if they bet on AWS and they say, huh, you know, I wonder if you know, there's some good no SQL And my final question for you is really probably the hardest question and you can answer it There's multiple vendors and it, you know, it enhances innovation, So the final question then is what will you tell the folks out there who are watching? Uh, and um, you know, we Mark off their checklist pretty well. Are you happy with what's happened since then and now? And Canisius is one of these things where, you know, You have the sizzle and the steak, as we say, meat on the bone.
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Andy | PERSON | 0.99+ |
Oracle | ORGANIZATION | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
HP | ORGANIZATION | 0.99+ |
Delta | ORGANIZATION | 0.99+ |
Dave Volante | PERSON | 0.99+ |
ORGANIZATION | 0.99+ | |
Jeff | PERSON | 0.99+ |
Eric | PERSON | 0.99+ |
Jeff Frick | PERSON | 0.99+ |
100% | QUANTITY | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Ariel Kelman | PERSON | 0.99+ |
2013 | DATE | 0.99+ |
California | LOCATION | 0.99+ |
Dave | PERSON | 0.99+ |
EMC | ORGANIZATION | 0.99+ |
80 foot | QUANTITY | 0.99+ |
2014 | DATE | 0.99+ |
iPad | COMMERCIAL_ITEM | 0.99+ |
four | QUANTITY | 0.99+ |
Ariel Ariel Kelman | PERSON | 0.99+ |
Sam | PERSON | 0.99+ |
San Francisco | LOCATION | 0.99+ |
Gartner | ORGANIZATION | 0.99+ |
John | PERSON | 0.99+ |
last year | DATE | 0.99+ |
Margaret | PERSON | 0.99+ |
15 people | QUANTITY | 0.99+ |
One | QUANTITY | 0.99+ |
one day | QUANTITY | 0.99+ |
today | DATE | 0.99+ |
14 | QUANTITY | 0.99+ |
Canisius | TITLE | 0.99+ |
two things | QUANTITY | 0.99+ |
next year | DATE | 0.98+ |
last night | DATE | 0.98+ |
one | QUANTITY | 0.98+ |
10 Howard street | LOCATION | 0.98+ |
Dow Jones | ORGANIZATION | 0.98+ |
two | QUANTITY | 0.98+ |
both | QUANTITY | 0.98+ |
both worlds | QUANTITY | 0.97+ |
Supersolid | ORGANIZATION | 0.97+ |
over a hundred million dollars | QUANTITY | 0.97+ |
three | DATE | 0.97+ |
Tony | PERSON | 0.97+ |
15 | QUANTITY | 0.97+ |
three | QUANTITY | 0.97+ |
four years ago | DATE | 0.97+ |
two purposes | QUANTITY | 0.97+ |
Goodwill | ORGANIZATION | 0.97+ |
Alaska | LOCATION | 0.96+ |
first | QUANTITY | 0.96+ |
Adi Krishnan & Ryan Waite | AWS Summit 2014
>>Hey, welcome back everyone. We're here live here in San Francisco for Amazon web services summit. This is the smaller event compared to reinvent the big conference in Vegas, which we were broadcasting live. I'm John furry, the founder's SiliconANGLE. This is the cube. Our flagship program where we go out to the events district to see live from the noise and a an Amazon show would not be complete without talking to the Amazon guys directly about what's going on under the hood. And our next guest is ADI Krishnan and Ryan Wade have run the Canisius teams. Guys, welcome to the cube. So we, Dave Vellante and I was not here unfortunately. He has another commitment but we were going Gaga over the says we'd love red shift in love with going with the data. I see glaciers really low cost options, the store stuff, but when you start adding on red shift and you know can, he says you're adding in some new features that really kind of really pointed where the market's game, which is I need to deal with real time stuff. >>I'll need to deal with a lot of data. I need to manage it effectively at a low latency across any work use case. Okay. So how the hell do you come up with an ISA? Give us the insight into how it all came together. We'd love the real time. We'd love how it's all closing the loop if you will for developer. Just take us through how it came about. What are some of the stats now post re-invent share with us will be uh, the Genesis for Canisius was trying to solve our metering problem. The metering problem inside of AWS is how do we keep track with how our customers are using our products. So every time a customer does a read out of dynamo DB or they read a file out of S3 or they do some sort of transaction with any of our products, that generates a meeting record, it's tens of millions of records per second and tens of terabytes per hour. >>So it's a big workload. And what we were trying to do is understand how to transition from being a batch oriented processing where we using large hitting clusters to process all that data to a continuous processing where we could read all of that data in real time and make decisions on that data in real time. So you basically had created an aspirin for yourself is Hey, a little pain point internally, right? Yeah. It's kind of an example of us building a product to solve some of our own problems first and then making that available to the public. Okay. So when you guys do your Amazon thing, which I've gotten to know about it a little bit, the culture there, you guys kind of break stuff, kind of the quote Zuckerberg, you guys build kind of invented that philosophy, you know stuff good. Quickly iterating fast. So you saw your own problem and then was there an aha moment like hell Dan, this is good. We can bring it out in the market. What were customers asking for at the same time was kind of a known use case. Did you bring it to the market? What happened next? >>We spend a lot of time talking to a lot of customers. I mean that was kind of the logistical, uh, we had customers from all different sorts of investigative roles. Uh, financial services, consumer online services from manufacturing conditional attic come up to us and say, we have this canonical workflow. This workflow is about getting data of all of these producers, uh, the sources of data. They didn't have a way to aggregate that data and then driving it through a variety of different crossing systems to ultimately light up different data stores. Are these data source could be native to AWS stores like S3 time would be be uh, they could be a more interesting, uh, uh, higher data warehousing services like Gretchen. But the key thing was how do we deal with all this massive amount of data that's been producing real time, ingested, reliably scale it elastically and enable continuous crossing in the data. >>Yeah, we always loved the word of last tickets. You know, a term that you guys have built your business around being elastic. You need some new means. You have a lot of flexibility and that's a key part of being agile. But I want you guys at while we're here in the queue, define Kenny SIS for the folks out there, what the hell is it? Define it for the record. Then I have some specific questions I want to ask. Uh, so Canisius is a new service for processing huge amounts of streaming data in real time. Shortens and scales elastically. So as your data volume increases or decreases the service grows with you. And so like a no JS error log or an iPhone data. This is an example of this would be example of streaming. Yeah, exactly. You can imagine that you were tailing a whole bunch of logs coming off of servers. >>You could also be watching event streams coming out of a little internet of things type devices. Um, one of our customers we're talking about here is a super cell who's capturing in gain data from their game, Pasha, the plans. So as you're playing clash of the plans, you're tapping on the screen. All of that data is captured in thesis and then processed by my super Supercell. And this is validated. I mean obviously you mentioned some of the use cases you needed of things, just a sensor network to wearable computers or whatever. Mobile phones, I'll see event data coming off machines. So you've got machine data, you've got human data, got application data. That's kind of the data sets we're seeing with Kinesis, right? Traverse set. Um, also attraction with trends like spark out of Berkeley. You seeing in memory does this kind of, is this in your wheelhouse? >>How does that all relate to, cause you guys have purpose-built SSDs now in your new ECQ instances and all this new modern gear we heard in the announcements. How does all the in-memory stuff affect the Canisius service? It's a great question. When you can imagine as Canisius is being a great service for capturing all of that data that's being generated by, you know, hundreds of thousands or millions of sources, it gets sent to Canisius where we replicated across three different availability zones. That data is then made available for applications to process those that are processing that data could be Hadoop clusters, they could be your own Kaloosas applications. And it could be a spark cluster. And so writing spark applications that are processing that data in real time is a, it's a great use case and the in memory capabilities and sparker probably ideal for being able to process data that's stored in pieces. >>Okay. So let's talk about some of the connecting the dots. So Canisius works in conjunction with what other services are you seeing that is being adopted most right now? Now see I mentioned red shift, I'm just throwing that in there. I'll see a data warehousing tool seeing a lot of business tells. So basically people are playing with data, a lot of different needs for the data. So how does connect through the stack? I think they are the number one use case we see is customers capturing all of this data and then archiving all of it right away to S3 just been difficult to capture everything. Right. And even if you did, you probably could keep it for a little while and then you had to get, do you have to get rid of it? But, uh, with the, the prices for us three being so low and Canisius being so easy to capture tiny rights, these little tiny tales of log data, they're coming out of your servers are little bits of data coming off of mobile devices capture all of that, aggregate it and put it in S3. >>That's the number one use case we see as customers are becoming more sophisticated with using Kinesis, they then begin to run real time dashboards on top of Kinesis data. So you could, there's all the data into dynamo DB where you could push all that data into even something like Redshift and run analytics on top of that. The final cases, people in doing real time decision making based on PISA. So once you've got all this data coming in, putting it into a dynamo DB or Redshift or EMR, you then process it and then start making decisions, automated decisions that take advantage of them. So essentially you're taking STEM the life life cycle of kind of like man walking the wreck at some point. Right? It's like they start small, they store the data, usually probably a developer problem just in efficiencies. Log file management is a disaster. >>We know it's a pain in the butt for developers. So step one is solve that pain triage, that next step is okay I'm dashboard, I'm starting to learn about the data and then three is more advanced like real time decision making. So like now that I've got the data coming in in real time and not going to act. Yeah, so when I want to bring that up, this is more of a theoretical kind of orthogonal conversation is where you guys are basically doing is we look, we like that Silicon angles like the point out to kind of what's weird in the market and kind of why it's important and that is the data things. There's something to do with data. It really points to a new developer. Fair enough. And I want to give you guys comments on this. No one's really come out yet and said here's a development kit or development environment for data. >>You see companies like factual doing some amazing stuff. I don't know if you know those guys just met with um, new Relic. They launched kind of this data off the application. So you seeing, you seeing what you guys are doing, you can imagine that now the developer framework is, Hey I had to deal with as a resource constraint so you haven't seen it. So I want to get your thoughts. Do you see that happening in that direction? How will data be presented to developers? Is it going to be abstracted away? Will there be development environments? Is it matter? And just organizing the data, what's your vision around? So >>that's really good person because we've got customers that come up to us and say I want to mail real time data with batch processing or I have my data that is right now lots of little data and now I want to go ahead and aggregate it to make sense of it over a longer period of time. And there's a lot of theory around how data should be modeled, how we should be represented. But the way we are taking the evolution set is really learning from our customers and customers come up and say we need the ability to capture data quickly. But then what I want to do is apply my existing Hadoop stack and tools to my data because then you won't understand that. And as a response to that classroom demand, uh, was the EMR connect. Somehow customers can use say hi queries or cascading scripts and apply that to real time data. That can means is ingesting. Another response to pass was, was the, that some customers that would really liked the, the, the stream processing construct a storm. And so on, our step over there was to say, okay, we shipped the Canisius storm spout, so now customers can bring their choice of matter Dame in and mail back with Canisius. So I think the, the short answer there right now is that, >>you know, it's crazy. It's really early, right? I would also add like, like just with, uh, as with have you, there's so many different ways to process data in the real time space. They're going to be so many different ways that people process that data. There's never going to be a single tool that you use for processing real time data. It's a lot of tools and it adapts to the way that people think about data. So this also brings us back to the dev ops culture, which you guys essentially founded Amazon early in the early days and you know I gotta give you credit for that and you guys deserve it. Dev ops was really about building from the ground good cloud, which post.com bubble. Really the thing about that's Amazon's, you've lived your own, your own world, right? To survive with lesson and help other developers. >>But that brings up a good point, right? So okay, data's early and I'm now going to be advancing slowly. Can there be a single architecture for dealing with data or is it going to be specialized systems? You're seeing Oracle made some mates look probably engineered systems. You seeing any grade stacks work? What's the take on the data equation? I'm not just going to do because of the data out the internet of things data. What is the refer architecture right now? I think what we're going to see is a set of patterns that we can do alone and people will be using those patterns for doing particular types of processing. Uh, one of the other teams that I run at is the fraud detection team and we use a set of machine learning algorithms to be able to continuously monitor usage of the cloud, to identify patterns of behavior which are indicative of fraud. >>Um, that kind of pattern of use is very different than I'm doing clickstream analysis and the kind of pattern that we use for doing that would naturally be different. I think we're going to see a canonical set of patterns. I don't know if we're going to see a very particular set of technologies. Yeah. So that brings us back to the dev ops things. So how do I want to get your take on this? Because dev ops is really about efficiencies. Software guys don't want to be hardware guys the other day. That's how it all started. I don't want to provision the network. I don't want a stack of servers. I just want to push code and then you guys have crazy, really easy ways to make that completely transparent. But now you joke about composite application development. You're saying, Hey, I'm gonna have an EMR over here for my head cluster and then a deal with, so maybe fraud detection stream data, it's going to be a different system than a Duke or could be a relational database. >>Now I need to basically composite we build an app. That's what we're talking about here. Composite construction resource. Is that kind of the new dev ops 2.0 maybe. So we'll try to tease out here's what's next after dev ops. I mean dev ops really means there's no operations. And how does a developer deal with these kinds of complex environments like fraud detection, maybe application here, a container for this bass. So is it going to be fully composite? Well, I don't know if we run the full circuit with the dev ops development models. It's a great model. It's worked really well for a number of startups. However, making it easy to be able to plug different components together. I get just a great idea. So, like as ADI mentioned just a moment ago, our ability to take data and Kinesis and pump that right into a elastic MapReduce. >>It's great. And it makes it easy for people to use their existing applications with a new system like pieces that kind of composing of applications. It's worth well for a long time. And I think you're just going to see us continuing to do more and more of that kind of work. So I'm going to ask both of you guys a question. Give me an example of when something broke internally. This is not in a sound, John, I don't go negative here, but you got your, part of your culture is, is to move fast, iterate. So when you, these important projects like Canisius give me an example of like, that was a helpful way in which I stumbled. What did you learn? What was the key pain points of the evolution of getting it out the door and what key things did you learn from media success or kind of a speed bump or a failure along the way? >>Well, I think, uh, I think one of the first things we learned right after we chipped and we were still in a limited previous and we were trying it out with our customers who are getting feedback and learning with, uh, what they wanted to change in the product. Uh, one of the first things that we learned was that the, uh, the amount of time that it took to put data into Canisius and receive a return code was too high for a lot of our customers. It was probably around a hundred milliseconds for the, that you put the data in to the time that we've replicated that data across multiple availability zones and return success to the client. Uh, that was, that was a moment for us to really think about what it meant to enable people to be pushing tons of data into pieces. And we went back a hundred milliseconds. >>That's low, no bad. But right away we went back and doubled our efforts and we came back in around, you know, somewhere between 30 and 40 milliseconds depending on your network connectivity. Hey, the old days, that was, that was the spitting disc of the art. 10, 20 Meg art. It's got a VC. That's right. Those Lotus files out, you know, seeing those windows files. So you guys improve performance. So that's an example. You guys, what's the biggest surprise that you guys have seen from a customer use case that was kind of like, wow, this is really something that we didn't see happening on a, on a larger scale that caught me by surprise. >>Uh, I is in use case it'd be a corner use case. Like, well, I'd never figured that, you know, I would say like, uh, some of the one thing that actually surprised us was how common it is for people to have multiple applications reading out of the same stream. Uh, like again, the basic use case for so many customers is I'm going to take all this data and I'm just going to throw it into S3. Uh, and we kind of envisioned that there might be a couple of different applications reading data of that stream. We have a couple of customers that actually have uh, as many as three applications that are reading that stream of events that are coming out of Kinesis. Each one of them is reading from a different position in the stream. They're able to read from different locations, process that data differently. >>But uh, but the idea that cleanses is so different from traditional queuing systems and yet provides, uh, a real time emotionality and that multiple applications can read from it. That was, that was a bit of a versa. The number one use case right now, who's adopting, can you sit there, watch folks watching out there, did the Canisius brain trust right here with an Amazon? Um, what are the killer no brainer scenarios that you're seeing on the uptake side right now that people should be aware of that they haven't really kicked the tires on Kinesis where they should be? What should they be looking at? I think the number one use case is log and ingestion. So like I'm tailing logs that are coming off of web servers, my application servers, uh, data that's just being produced continuously who grab all that data. And very easily put it into something like us through the beauty of that model is I now have all the logo that I got it off of all of my hosts as quickly as possible and I can go do log nights later if there's a problem that is the slam dunk use case for using crisis. >>Uh, there are other scenarios that are beginning to emerge as well. I don't know audio if you want to talk, that's many interesting and lots of customers are doing so already is emit data from all sorts of devices. So this is, these devices are not just your smartphones and tablets that are practically food computing machines, but also seemingly low power, seemingly dumb devices. And the design remains the same. There are millions of these out there and having the ability to capture that in a day produce in real time is, you know, I think just, uh, just to highlight that, one of things I'm hearing on the cube interviews, all the customers we talk to is the number one thing is I just got to scroll the date. I know what I want to do with it yet. Now that's a practice that's a hangover from the BI data warehouse in business of just store from a compliance reasons now, which is basically like, that's like laser as far as I'm concerned. >>Traditional business intelligence systems are like their version of Galatians chipped out somewhere and give me those reports. Five weeks later they come back. But that's different. Now you see people store that data and they realize that I need to touch it faster. I don't know yet when, that's why I'm teasing out this whole development 2.0 model because I'm just seeing more and more people want the data hanging around but not fully parked out in Malaysia or some sort of, you know, compliance storage. So there's, you know, I think, I think I kind of understand where you're going. There's a, I'm going to use a model for like how we used to do BI analytics and our own internal data warehouse. I also run the data warehouse for AWS. Um, and the classic BI model there is somebody asks a question, we go off and we just do some analysis and if it's a question that we're going to ask repeatedly, we don't, you know, a special fact table or a dimensional view or something to be able to grind through that particular view and do it very quickly. >>A Kunis is offers a different kind of data processing model, which is I'm collecting all of the data and make it easy to capture everything, but now I can start doing things like, Oh, there's, there's certain pieces of data that I want to respond to you quickly. Just like we would create dimensional views that would give us access to particular sets of data and very quick pace. We can now also respond to when those events are generated very quickly. Well, you guys are the young guns in the industry now. I'm a little bit older and the gray hair showing, we actually use the word data processing back in the day. The data processing that the DP department or the MIS department, if you remember those those days, MIS was the management information. Are we going back to those terms? I mean we're looking at look what's happening. >>Is it the software mainframe in the cloud? I mean these are some of the words you're using. Just data processing data pipeline. Well, I my S that's my work, but I mean we're back to those old school stuff but different, well and I think those kinds of very generic terms make a lot of sense for what we're doing is we, especially as we move into these brand new spaces like wow, what do I do with real time data? Like real time data processing is kind of the third type of big data processing or data warehousing was the first time I know what my data looks like. I've created indices like a pre computation of the data, uh, uh, Hadoop clusters and the MapReduce model was kind of the second wave of big data processing and realtime processing I think will be the third way. I think our process, well, I'm getting the hook here, but I got to just say, you guys are doing an amazing job. >>We're big fans of Amazon. I always say that, uh, you know, it was very rare in the history the world. We look at innovations like the printing press, the Wright brothers discover, you know, flying and things like we, Amazon with cloud. You guys have done something that's pretty amazing. But what I find fascinating is it's very rare to see a company that's commoditizing and disrupting and innovating at the same time. And it's really a unique value proposition and the competition is responding. IBM, Google. So you guys have a lot of targets painted on your back by a lot of big players. So, uh, one congratulations on your success, which means that you, you know, you're not going to go in the open field and fight the, the British if they said use the American revolution analogy. You've got to continue to compete. So what's your view of that? >>I mean, and I'm sure you don't talk about competition. You'd probably told him not to talk about it, but I mean, you got to know that all the guns are on you right now. The big guys are putting up the sea wall for your wave of innovation. How do you guys deal with that? It's just cause it's not like we, we ignore our competitors but we obsess about our customers, right? Like it's just constantly looking for what are people trying to do and how can we help them and can seem like a very simple strategy. But the strategy is built with people want and we get a lot of great feedback on how we can make our products better. And it certainly will force you to up your game when you have the competition citing on you. You've got more focused on the customer, which is cool. >>But like you guys kind of aware of like games on, I mean Amazon is at any given a little pep talk, Hey, game is on guys. Let's rock and roll. Right? You guys are aware, right? I think we're totally wearing, I think we're actually sometimes a little surprised at how long it's taken to our competitors to kind of get into this industry with us. So, uh, again, as Andy talked about earlier today, we've had eight years in the cloud computing market. It's been a great eight years and we have a lot of work to do, a lot of stuff that we're going to be almost ready for middle school. Um, final final question for you guys and give you the final word here. Share the photos on the last word is why is this show so important, right this point in time in this market. Why is this environment of the thousands of people that are here learning about Amazon, why, what should they know about why this is such an important advance? I think our summits are a great opportunity for us to share with customers how to use our AWS services. Learn firsthand from not only our hands on labs, but also our partners that are providing information about how they use AWS resources. It's, it's a great opportunity to meet a lot of people that are taking advantage of the cloud computing wave and see how to use the cloud most effectively. >>It's a great time to be in the cloud right now and the Olin's amazing services coming up. There's no better mind now of people coming together and so that's probably as good reasons. Then you guys are doing a great job disrupting change in the future. Modern enterprise and modern business, modern applications. Excited to watch it. If you guys keep focusing on your customer, but that customer base, you keep up the pace that's sick. That question, can you finish the race? That's what I always tell Dave a lot. They, I know Jay's watching Dave. Shout out to Dave Volante, who's on the mobile app right now is traveling. Guys, thanks for coming inside. Can he says great stuff. Closing the loop real time. Amazon really building it out. Thanks for coming on. If you'd be right back with our next guest after this short break. Thank you.
SUMMARY :
the store stuff, but when you start adding on red shift and you know can, he says you're adding in some new features So how the hell do you come up with an ISA? the culture there, you guys kind of break stuff, kind of the quote Zuckerberg, you guys build kind of invented that philosophy, I mean that was kind of the logistical, You know, a term that you guys have built your business around being elastic. That's kind of the data sets we're seeing with Kinesis, of that data that's being generated by, you know, hundreds of thousands or millions of sources, it gets with what other services are you seeing that is being adopted most right now? That's the number one use case we see as customers are becoming more sophisticated with using Kinesis, And I want to give you guys comments on this. I don't know if you know those guys just met with But the way we are taking the evolution set is So this also brings us back to the dev ops culture, which you guys essentially founded Amazon early in the early days So okay, data's early and I'm now going to be I just want to push code and then you So is it going to be fully composite? So I'm going to ask both of you guys a question. Uh, one of the first things that we learned So you guys improve performance. of the one thing that actually surprised us was how common it is for people to have multiple applications So like I'm tailing logs that are coming off of web capture that in a day produce in real time is, you know, I think just, uh, just to highlight that, So there's, you know, I think, I think I kind of understand where you're going. The data processing that the DP department or the MIS department, if you remember those those days, you guys are doing an amazing job. So you guys have a lot of targets painted on your back by a lot of big players. And it certainly will force you to up your game when But like you guys kind of aware of like games on, I mean Amazon is If you guys keep focusing on your customer, but that customer base, you keep up the pace that's
SENTIMENT ANALYSIS :
ENTITIES
Entity | Category | Confidence |
---|---|---|
Andy | PERSON | 0.99+ |
Zuckerberg | PERSON | 0.99+ |
ORGANIZATION | 0.99+ | |
Dave Volante | PERSON | 0.99+ |
IBM | ORGANIZATION | 0.99+ |
Dave Vellante | PERSON | 0.99+ |
John | PERSON | 0.99+ |
Ryan Wade | PERSON | 0.99+ |
Amazon | ORGANIZATION | 0.99+ |
Dave | PERSON | 0.99+ |
Malaysia | LOCATION | 0.99+ |
eight years | QUANTITY | 0.99+ |
Oracle | ORGANIZATION | 0.99+ |
AWS | ORGANIZATION | 0.99+ |
Jay | PERSON | 0.99+ |
San Francisco | LOCATION | 0.99+ |
Adi Krishnan | PERSON | 0.99+ |
Vegas | LOCATION | 0.99+ |
Berkeley | LOCATION | 0.99+ |
Ryan Waite | PERSON | 0.99+ |
ADI Krishnan | PERSON | 0.99+ |
iPhone | COMMERCIAL_ITEM | 0.99+ |
hundreds of thousands | QUANTITY | 0.99+ |
Lotus | TITLE | 0.99+ |
Five weeks later | DATE | 0.99+ |
40 milliseconds | QUANTITY | 0.99+ |
Dan | PERSON | 0.99+ |
one | QUANTITY | 0.98+ |
both | QUANTITY | 0.98+ |
third way | QUANTITY | 0.98+ |
three applications | QUANTITY | 0.98+ |
John furry | PERSON | 0.98+ |
S3 | TITLE | 0.98+ |
Canisius | ORGANIZATION | 0.97+ |
three | QUANTITY | 0.97+ |
30 | QUANTITY | 0.97+ |
first time | QUANTITY | 0.97+ |
Each one | QUANTITY | 0.96+ |
single tool | QUANTITY | 0.95+ |
around a hundred milliseconds | QUANTITY | 0.95+ |
millions of sources | QUANTITY | 0.95+ |
AWS Summit 2014 | EVENT | 0.95+ |
step one | QUANTITY | 0.94+ |
Relic | ORGANIZATION | 0.94+ |
Gaga | PERSON | 0.93+ |
third type | QUANTITY | 0.91+ |
earlier today | DATE | 0.91+ |
S3 time | TITLE | 0.9+ |
American | OTHER | 0.9+ |
a hundred milliseconds | QUANTITY | 0.89+ |
Olin | PERSON | 0.89+ |
Kunis | ORGANIZATION | 0.89+ |
first things | QUANTITY | 0.89+ |
ECQ | TITLE | 0.87+ |
Duke | ORGANIZATION | 0.87+ |
ADI | ORGANIZATION | 0.86+ |
Kenny SIS | PERSON | 0.85+ |
tens of terabytes per | QUANTITY | 0.85+ |
Redshift | TITLE | 0.85+ |
first | QUANTITY | 0.85+ |
Kinesis | ORGANIZATION | 0.85+ |
SiliconANGLE | ORGANIZATION | 0.81+ |
tons of data | QUANTITY | 0.8+ |
single architecture | QUANTITY | 0.77+ |
one thing | QUANTITY | 0.77+ |
thousands of people | QUANTITY | 0.76+ |
PISA | TITLE | 0.73+ |
second wave | EVENT | 0.73+ |
tens of millions of records per second | QUANTITY | 0.73+ |
agile | TITLE | 0.73+ |
windows | TITLE | 0.69+ |