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Search Results for Entrepreneur of the Year Award 2018:

Data Drivers Snowflake's Award Winning Customers


 

>>Hi, everyone. And thanks for joining us today for our session on the 2020 Data Drivers Award winners. I'm excited to be here today with you. I'm a lease. Bergeron, vice president, product marketing for snowflake. Thes rewards are intended to recognize companies and individuals for using snowflakes, data cloud to drive innovation and impact in their organizations. Before we start our conversations, I want to quickly congratulate all of our award winners. First in the business awards are data driver of the year is Cisco. Our machine learning master is you Nipper, Our data sharing leader is Rakuten. Our data application of the year is observed and our data for good award goes to door dash for the individual and team awards. We first have the cost. Jane, Chief Digital officer of Paccar. We have a militiamen, director of cybersecurity and data science winning our data science Manager of the Year award at Comcast for a date. A pioneer of the year. We have Faisal KP, who's our senior manager of enterprise data Services at Pizza Hut. And lastly, we have our best data team going to McKesson, led by Jimmy Herff Data and Analytics platform leader Huge congratulations to all of these winners. It was very difficult to pick them amongst amazing set of nominations. So now let's dive into our conversations. We'll start with the data driver of the year. Representing Cisco today is Robbie. I'm a month do director data platform, data and analytics. >>Let me welcome everybody to the wonderful. Within a few years before Cisco used to be a company, you know, in making the decisions partly with the data and partly with the cuts. Because, you know, the data is told in multiple places the trading is not done right and things like that. So we, you know, really understood it. You know what was a challenge in the organism? By then we defined the data strategy on we put in a few plants in place, and it is working very well. But what is more important is basically how we provide the data towards data scientists and the data community in Cisco. I'm making them available in a highly available scalable on the elastic platforms. That's where you know, snowflake came into picture really very well for arrest, along with the other data strategies that we have had in place more importantly, data. Democratization was a key. You know, you along with the simplification, something technologies involved in the past. Our clients need to be worrying, laudable the technologies involved, you know, for example, we used to manage her before we make it. Snowflake Andi Snowflake, in a solve all of these problems for us with the ease on it. Really helping enabling a data data given ordinances in our >>system. In the data sharing leaders category, Rockhampton was our winner. We have mark staying trigger VP of analytics here to share their story. I >>wanna thank Snowflake for the award, and it's an honor to be a today. The ease of use of snowflake has allowed projects to move forward innovation to move forward in a way that it simply couldn't have done on old Duke systems or or or other platforms. And I think the truth the same is true for us on a lot of the similar topics, but also in the data sharing space, data sharing is a part off innovation. Like I think, most of the tech companies we work with certainly are business partners, merchants, but also with a range of other service providers and other technology vendors, um on other companies that we strategically share data with 2 May benefit of their service or thio to allow data modeling or advanced data collaboration or strategic business deals using the data and evaluated with the data on. But I think if you look Greece snowflake, you would see a lot of time and effort money going to just establishing that data connection that often involved substantial investments in technology data pipelines, risk evaluation, hashing, encrypt encryption. Security on what we found with snowflakes sharing functionality is that we can not eliminate those concerns, but that the technology just supports the ability to share data securely easily, quickly in a way that we could never do >>previously. Now we have a really inspiring winner of the data for good award door dash with their Project Dash Initiative here to speak about their work is act shot near Engineering manager >>Thank you sports to snowflake for recognizing us for this initiative. Eso For those of you who don't know, Dash, the logistics technology platform company that connects people with the best in their cities and Project Dash, our flagship social impact program, uses the door dash logistics platform to tackle the challenges like hunger and food waste. It was launched in 2018 on over the first two years in partnership with food recovery organizations, we powered the delivery off over £2 million of surplus food from businesses to hunger relief agencies across the U. S. And Canada. Andi simply do Toko with tremendous need has a much we were ableto power. The delivery often estimated 5.8 million meals to food insecure communities and frontline workers across 48 states on the 3.5 million off. These meals have been delivered since much. We do all of our analysis for our business functions from like product development to skills and social impact in snowflake On the numbers I just provided here actually have come from Snowflake on. We have used it to provide various forms of reporting, tow our government and non profit partners on this snowflake. We can help them understand the impact, analyzed friends and ensure complaints in cases where we are supporting efforts for agencies like FEMA, our USDA onda. Lastly, our team is really excited to be recognized by snowflake for using data for good. It has reminded us to continue doubling down on our commitment to using our product and expertise to partner with communities we operated. Thank you again. >>The winner of the machine Learning Master's word is unit for Energy. Viola Sarcoma Data Innovation leader is here on behalf of unit for >>Hello, everyone, Thanks for having me here. It's really a pleasure. And we were really proud to get this award. It means a lot for you. Nipper. It's huge recognition for our effort since last couple of years assed part of our journey and also a celebration off our success now for you. Newport. It would not be possible to start looking at Advanced Analytics techniques, not having a solid data foundation in place. And that's where we invested a lot in our cloud data platform in the cloud back by snowflake. Having this platform allowed us to employ advanced analytics techniques, combining data from Markit from fundamental data, different other sources of data like weather and extracting new friends, new signals that basically help us to partly or even in some cases fully automate some trading strategy. And we believe this will be really fundamental for for the future off raiding in our company and we will definitely invest in this area in the future. >>Our data application of the year is observed. Observers recognizes the most innovative, data driven application built on Snowflake and representing observed today is their CEO, Jeremy Burton. >>Let me just echo the thanks from the other folks on the coal. I mean snowflakes, separation of storage. Compute. I can't overstate what a really big deal it is. Um, it means that we can ingest in store data. Really? For the price of Amazon s three on board, we're in a category where vendors of historically charged for volume of data ingested. So you can imagine this really represents huge savings. Um, in addition, and maybe on a more technical note, snowflakes, elastic architectures really enables us to direct queries appropriately, based on the complexity of the query. So small queries or simple queries weaken director extra small warehouses and complex queries. We can direct, you know, for Excel. Or I think even a six x l is either there are on its way. The key thing there is that users they're not sitting around waiting for results to appear regardless of the query complexity. So I mean, really? The separation storage compute on the elastic architectures is a really big deal for us. >>Turning to the data Pioneer of the Year Award, I'm excited to be here with Faisal KP, senior manager of Enterprise Data Services from Pizza Hut. >>First of all, thank you, Snowflake, for giving this wonderful person. I think it means a lot for us in terms of validating what we're doing. I think we were one of the earlier adopters of Snowflake. We saw the vision of snowflake, you know, stories. Russell's computer separation on all the goodies, right? Right from back in 2017, I believe what snowflake enabled us is to actually get the scale with very little manpower, which is needed to man the entire system. So on the Super Bowl day, we have, you know, the entire crew literally a boardroom where the right from the CME, most of the CEOs to all the folks will be sitting and watching what is happening in the system. And we have to do a lot of real time analytics during that time. So with snowflake, you know, way used the elasticity of the platform we use, you know, platform you know their solutions, like snow pipe to basically automate the data ingestion coming through various channels, from the commas, from the stores, everything simultaneously. So as soon as the program is done, you know, we can scale scale down to our normal volume, which means we can, you know, way can save a lot. Of course. So definitely it snowflake has been game changer for us in terms of how we provide real time analytics. Our systems are used by thousands off restaurants throughout the country and, you know, by hundreds of franchisees. So the scale is something we have achieved with a lot of ability and success. >>In the category of data science Manager of the Year Award, we have a mission Min, director of cybersecurity and data science at Comcast. >>So thank you for having me and thank you for this wonderful award. So one of the biggest challenges you see in this other security spaces the tremendous amount of data that we have to compute every day to find the gold haystack. So one of the big challenges we overcame with by uniting snowflake was how do we go from like my other counterparts on the panel have said Theo operational overhead of maintaining a large data store and moved to more of results driven and data focused environment. And, you know, part of that journey was really the tremendous leadership. Comcast saying, You know, we want Thio through our day to day lives by relying less on operational work and Maura on answering questions. And so you know, over the last year we've really put Snowflake at the center of our ecosystem, knowing that it's elastic platform and its ability scale infinitely have given us the ability to dream big and use it to drop five cybersecurity. And while it's traditionally used for cybersecurity, we're starting to see the benefits right away and the beauty of the snowflake. Ecos, Miss. We're now able to enable folks that not traditionally have big data skills, but they have standards, sequel skills, and they could still work in the snowflake platform. So, you know, the transition to cloud has been very powerful for us as an organization. But I think the end story, the real takeaways, by moving our secretary operation to the cloud, we're now been able to enable more people and get the results they were looking for. You know, as other people have said fast, people hate to wait. So the scale of snowflake really shines. >>Yeah. Now, let's hear from our data Executive of the year. The Cost. Jane. Chief Digital Officer Packer. >>Thank you very much, Snowflake, for this really incredible recognition and honor of the work we're doing it back. Are we began. The first step in this process was for us to develop an enterprise Great data platform in the cloud capable off managing every aspect of data at scale. This this platform includes snowflake as our analytics data warehouse amongst many other technologies that we used for ingestion of data, data processing, uh, data governance, transactional, uh, needs and others. So this platform, once developed, has really helped us leverage data across the broad pack. Our systems and applications globally very efficiently and is enabling pack are, as a result to enhance every aspect. Selfish business with data. >>Ah, big congratulations again to all of the winners of the 2020 Data Drivers Awards. Thanks so much for joining us for a great conversation. And we hope that you enjoy the rest of the data cloud summit

Published Date : Nov 19 2020

SUMMARY :

Our data application of the year is observed laudable the technologies involved, you know, for example, we used to manage her before we make it. In the data sharing leaders category, but that the technology just supports the ability to share data of the data for good award door dash with their Project Dash Initiative here to speak about their work snowflake On the numbers I just provided here actually have come from Snowflake on. leader is here on behalf of unit for a lot in our cloud data platform in the cloud back by snowflake. Our data application of the year is observed. We can direct, you know, for Excel. Turning to the data Pioneer of the Year Award, I'm excited to be here with Faisal KP, So the scale is something we have achieved with a lot of ability and success. In the category of data science Manager of the Year Award, we have a mission Min, So one of the big challenges we overcame with by uniting snowflake was The Cost. of the work we're doing it back. And we hope that you enjoy the rest

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Jared Bell T-Rex Solutions & Michael Thieme US Census Bureau | AWS Public Sector Partner Awards 2020


 

>> Narrator: From around the globe, it's theCUBE with digital coverage of AWS Public Sector Partner Awards brought to you by Amazon web services. >> Hi, and welcome back, I'm Stu Miniman and we're here at the AWS Public Sector. Their Partner Awards, really enjoying this. We get to talk to some of the diverse ecosystem as well as they've all brought on their customers, some really phenomenal case studies. Happy to welcome to the program two first time guests. First of all, we have Jared Bell, he's the Chief Engineer of self response, operational readiness at T-Rex Solutions and T-Rex is the award winner for the most customer obsessed mission-based in Fed Civ. So Jared, congratulations to you and the T-Rex team and also joining him, his customer Michael Thieme, he's the Assistant Director for the Decennial Census Program systems and contracts for the US Census Bureau, thank you so much both for joining us. >> Good to be here. >> All right, Jared, if we could start with you, as I said, you're an award winner, you sit in the Fed Civ space, you've brought us to the Census Bureau, which most people understand the importance of that government program coming up on that, you know, every 10 year we've been hearing, you know, TV and radio ads talking about it, but Jared, if you could just give us a thumbnail of T-Rex and what you do in the AWS ecosystem. >> So yeah again, my name's Jared Bell and I work for T-Rex Solutions. T-Rex is a mid tier IT federal contracting company in Southern Maryland, recently graduated from hubs on status, and so T-Rex really focuses on four key areas, infrastructure in Cloud modernization, cybersecurity, and active cyber defense, big data management and analytics, and then overall enterprise system integration. And so we've been, you know, AWS partner for quite some time now and with decennial, you know, we got to really exercise a lot of the bells and whistles that are out there and really put it all to the test. >> All right, well, Michael, you know, so many people in IT, we talk about the peaks and valleys that we have, not too many companies in our organization say, well, we know exactly, you know, that 10 year spike of activity that we're going to have, I know there's lots of work that goes on beyond that, but it tells a little bit , your role inside the Census Bureau and what's under your purview. >> Yes, the Census Bureau, is actually does hundreds of surveys every year, but the decennial census is our sort of our main flagship activity. And I am the Assistant Director under our Associate Director for the IT and for the contracts for the decennial census. >> Wonderful and if you could tell us a little bit the project that you're working on, that eventually pulled T-Rex in. >> Sure. This is the 2020 census and the challenge of the 2020 census is we've done the census since 1790 in the United States. It's a pillar, a foundation of our democracy, and this was the most technologically advanced census we've ever done. Actually up until 2020, we have done our censuses mostly by pen, paper, and pencil. And this is a census where we opened up the internet for people to respond from home. We can have people respond on the phone, people can respond with an iPhone or an Android device. We tried to make it as easy as possible and as secure as possible for people to respond to the census where they were and we wanted to meet the respondent where they were. >> All right. So Jared, I'd love you to chime in here 'cause I'm here and talking about, you know, the technology adoption, you know, how much was already in plans there, where did T-Rex intersect with this census activity? >> Yeah. So, you know, census deserves a lot of credit for their kind of innovative approach with this technical integrator contract, which T-Rex was fortunate enough to win. When we came in, you know, we were just wrapping up the 2018 test. we really only had 18 months to go from start to, you know, a live operational tests to prepare for 2020. And it was really exciting to be brought in on such a large mission critical project and this is one of the largest federal IT products in the Cloud to date. And so, you know, when we came in, we had to really, you know, bring together a whole lot of solutions. I mean, the internet self response, which is what we're going to to talk about today was one of the major components. But we really had a lot of other activities that we had to engage in. You know, we had to design and prepare an IT solution to support 260 field offices, 16,000 field staff, 400,000 mobile devices and users that were going to go out and knock on doors for a numeration. So it was real6ly a big effort that we were honored to be a part of, you know, and on top of that, T-Rex actually brought to the table, a lot of its past experience with cybersecurity and active cyber defense, also, you know, because of the importance of all this data, you know, we had the role in security all throughout, and I think T-Rex was prepared for that and did a great job. And then, you know, overall I think that, not necessarily directly to your question, but I think, y6ou know, one of the things that we were able to do to make ourselves successful and to really engage with the census Bureau and be effective with our stakeholders was that we really build a culture of decennial within the technical integrator, you know, we had brown bags and working sessions to really teach the team the importance of the decennial, you know, not just as a career move, but also as a important activity for our country. And so I think that that really helped the team, you know, internalize that mission and really drove kind of our dedication to the census mission and really made us effective and again, a lot of the T-Rex leadership had a lot of experience there from past decennials and so they really brought that mindset to the team and I think it really paid off. >> Michael, if you could bring us inside a little a bit the project, you know, 18 months, obviously you have a specific deadline you need to hit, for that help us understand kind of the architectural considerations that you had there, any concerns that you had and I have to imagine that just the global activities, the impacts of COVID-19 has impacted some of the end stage, if you will, activities here in 2020. >> Absolutely. Yeah. The decennial census is, I believe a very unique IT problem. We have essentially 10 months out of the decade that we have to scale up to gigantic and then scale back down to run the rest of the Census Bureau's activities. But our project, you know, every year ending in zero, April 1st is census day. Now April 1st continued to be census day in 2020, but we also had COVID essentially taking over virtually everything in this country and in fact in the world. So, the way that we set up to do the census with the Cloud and with the IT approach and modernization that we took, actually, frankly, very luckily enabled us to kind of get through this whole thing. Now, we haven't had, Jared discussed a little bit the fact that we're here to talk about our internet self response, we haven't had one second of downtime for our response. We've taken 77 million. I think even more than 78 million responses from households, out of the 140 million households in the United States, we've gotten 77 million people to respond on our internet site without one second of downtime, a good user experience, a good supportability, but the project has always been the same. It's just this time, we're actually doing it with much more technology and hopefully the way that the Cloud has supported us will prove to be really effective for the COVID-19 situation. Because we've had changes in our plans, difference in timeframes, we are actually not even going into the field, or we're just starting to go into the field these next few weeks where we would have almost been coming out of the field at this time. So that flexibility, that expandability, that elasticity, that being in the Cloud gives all of our IT capabilities was really valuable this time. >> Well, Jared, I'm wondering if you can comment on that. All of the things that Michael just said, you know, seem like, you know, they are just the spotlight pieces that I looked at Cloud for. You know, being able to scale on demand, being able to use what I need when I need it, and then dial things down when I don't, and especially, you know, I don't want to have to, you know, I want to limit how much people actually need to get involved. So help understand a little bit, you know, what AWS services underneath, we're supporting this and anything else around the Cloud deployment. >> Sure, yeah. Michael is spot on. I mean, the cloud is tailor made for our operation and activity here. You know, I think all told, we use over 30 of the AWS FedRAMP solutions in standing up our environment across all those 52 system of systems that we were working with. You know, just to name a few, I mean, internet self response alone, you're relying heavily on auto scaling groups, elastic load balancers, you know, we relied a lot on Lambda Functions, DynamoDB. We're one of the first adopters through DynamoDB global tables, which we use for a session persistence across regions. And then on top of that, you know, the data was all flowing down into RDS databases and then from there to, you know, the census data Lake, which was built on EMR and Elasticsearch capabilities, and that's just to name a couple. I mean, you know, we had, we ran the gamut of AWS services to make all this work and they really helped us accelerate. And as Michael said, you know, we stood this up expecting to be working together in a war room, watching everything hand in hand, and because of the way we, were able to architect it in partnership with AWS, we all had to go out and stay at home, you know, the infrastructure remain rock solid. We can have to worry about, you know, being hands on with the equipment and, you know, again, the ability to automate and integrate with those solutions Cloud formation and things like that really let us keep a small agile team of, you know, DevSecOps there to handle the deployments. And we were doing full scale deployments with, you know, one or two people in the middle of the night without any problems. So it really streamlined things for us and helped us keep a tight natural, sure. >> Michael, I'm curious about what kind of training your team need to go through to take advantage of this solution. So from bringing it up to the ripple effect, as you said, you're only now starting to look at who would go into the field who uses devices and the like, so help us understand really the human aspect of undergoing this technology. >> Sure. Now, the census always has to ramp up this sort of immediate workforce. We hire, we actually process over 3 million people through, I think, 3.9 million people applied to work for the Census Bureau. And each decade we have to come up with a training program and actually training sites all over the country and the IT to support those. Now, again, modernization for the 2020 census, didn't only involve the things like our internet self response, it also involves our training. We have all online training now, we used to have what we called verbatim training, where we had individual teachers all over the country in places like libraries, essentially reading text exactly the same way to exactly over and over again to our, to the people that we trained. But now it's all electronic, it allows us to, and this goes to the COVID situation as well, it allows us to bring only three people in at a time to do training. Essentially get them started with our device that we have them use when they're knocking on doors and then go home and do the training, and then come back to work with us all with a minimal contact, human contact, sort of a model. And that, even though we designed it differently, the way that we set the technology of this time allowed us to change that design very quickly, get people trained, not essentially stop the census. We essentially had to slow it down because we weren't sure exactly when it was going to be safe to go knocking on door to door, but we were able to do the training and all of that worked and continues to work phenomenally. >> Wonderful. Jared, I wonder if you've got any lessons learned from working with the census group that might be applicable to kind of, the broader customers out there? >> Oh, sure. Well, working with the census, you know, it was really a great group to work with. I mean, one of the few groups I worked with who have such a clear vision and understanding of what they want their final outcome to be, I think again, you know, for us the internalization of the decennial mission, right? It's so big, it's so important. I think that because we adopted it early on we felt that we were true partners with census, we had a lot of credibility with our counterparts and I think that they understood that we were in it with them together and that was really important. I would also say that, you know, because we're talking about the go Cloud solutions that we worked, you know, we also engage heavily with the AWS engineering group and in partnership with them, you know, we relied on the infrastructure event management services they offer and was able to give us a lot of great insight into our architecture and our systems and monitoring to really make us feel like we were ready for the big show when the time came. So, you know, I think for me, another lesson learned there was that, you know, the Cloud providers like AWS, they're not just a vendor, they're a partner and I think that now going forward, we'll continue to engage with those partners early and often. >> Michael the question I have for you is, you know, what would you say to your peers? What lessons did you have learned and how much of what you've done for the census, do you think it will be applicable to all those other surveys that you do in between the big 10 year surveys? >> All right. I think we have actually set a good milestone for the rest of the Census Bureau, that the modernization that the 2020 census has allowed since it is our flagship really is something that we hope we can continue through the decade and into the next census, as a matter of fact. But I think one of the big lessons learned I wanted to talk about was we have always struggled with disaster recovery. And one of the things that having the Cloud and our partners in the Cloud has helped us do is essentially take advantage of the resilience of the Cloud. So there are data centers all over the country. If ever had a downtime somewhere, we knew that we were going to be able to stay up. For the decennial census, we've never had the budget to pay for a persistent disaster recovery. And the Cloud essentially gives us that kind of capability. Jared talked a lot about security. I think we have taken our security posture to a whole different level, something that allowed us to essentially, as I said before, keep our internet self response free of hacks and breaches through this whole process and through a much longer process than we even intended to keep it open. So, there's a lot here that I think we want to bring into the next decade, a lot that we want to continue, and we want the census to essentially stay as modern as it has become for 2020. >> Well, I will tell you personally Michael, I did take the census online, it was really easy to do, and I'll definitely recommend if they haven't already, everybody listening out there so important that you participate in the census so that they have complete data. So, Michael, Jared, thank you so much. Jared, congratulations to your team for winning the award and you know, such a great customer. Michael, thank you so much for what you and your team are doing. We Appreciate all that's being done, especially in these challenging times. >> Thank you and thanks for doing the census. >> All right and stay tuned for more coverage of the AWS public sector partner award I'm Stu Miniman and thank you for watching theCUBE. (upbeat music)

Published Date : Aug 6 2020

SUMMARY :

brought to you by Amazon web services. and T-Rex is the award winner you know, TV and radio and with decennial, you know, we know exactly, you know, and for the contracts Wonderful and if you and the challenge of the 2020 census you know, the technology adoption, the importance of the decennial, you know, some of the end stage, if you will, and in fact in the world. and especially, you know, and then from there to, you know, really the human aspect and the IT to support those. that might be applicable to kind of, and in partnership with them, you know, and our partners in the and you know, such a great customer. for doing the census. of the AWS public sector partner award

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Karen Quintos, Dell Technologies | Dell Technologies World 2019


 

>> Live from Las Vegas, it's theCUBE covering Dell Technology's World 2019. Brought to you by Dell Technologies and it's ecosystem partners. >> Hi, welcome to theCUBE Lisa Martin with Stu Miniman and we are live at Dell Technologies World 2019 in Las Vegas with about 15,000 or so other people. There's about 4,000 of the Dell Technologies community of partners here as well. Day one as I mentioned, we're very pleased to welcome back one of our cube alumni, Karen Quintos, EVP and Chief Customer Officer from Dell Technologies, Karen, welcome back to theCUBE. >> Thank you, thank you. Always great to be with you all. >> So one of the things you walk down on stage this morning with Michael Dell and and the whole gang and you started to share a story that I'd love for you to share with our audience about this darling little girl, Phoebe from Manchester, England that has to do with this Dell Technologies partnership with Deloitte Detroit and 3D prosthetics. Can you share this story and what it meant about this partnership. >> Well we wanted to tell this story about Phoebe because we really wanted the audience to understand the innovation and all of what's done it with social good is really about the individual, You know, technology plays a key role but the face behind the technology and the innovation are people and you know, as you mention Phoebe is from Manchester, U.K. Her father wrote this blog about Phoebe's experience. Phoebe's aunt, Claire works for Deloitte. She had access to a lot of what they could do in terms of 3D printing and basically came to Dell and we were able to take it and scale it and accelerate it and speed it up with a engineer by the name of Seamus who saw what the precision workstation could do. So it was this small idea to help an amazing little girl like this that has now turned into this movement around how do we more rapidly, quickly scale 3D prosthetics so these children and adults can have a chance at a normal life so. >> What kind of prosthetics did you guys build for her? >> It's an arm, so the very first arm that we built for her when she was about five years old had the frozen Disney theme painted on it. I asked her father Keith what is the one that she's wearing now because she's now this like really super cool seven-year-old that goes to school and all of her classmates and friends around her see her as this rock star and the one that she has today is printed with unicorns and rainbows. So if you know anything about seven-year-old girls, it's all about unicorns and rainbows and she's done an amazing thing and she's inspired so many other people around the world, individuals, customers, partners like Deloitte and others that we're working with to really take this to a whole new level. >> Karen, I think back to Dell you know, if you think back a couple of decades ago you know, drove a lot of the some of the waves of technology change you know, think back to the PC, but in the early days it was you know supply chain and simple ordering in all these environments and when I've watched Dell move into the enterprise, a lot of that is, I need to be listening to my customer, I need to be much closer to them because it's not just ordering your SKU and having it faster and at a reasonable price but there's a lot more customization. Can you talk about how you're kind of putting that center, that customer in the center of the discussion and that feedback loops that you have with them, how that's changed in Dell. >> Yeah sure, so all of the basic fundamentals around you got to order, deliver, make the supply chain work to deliver for our customers still matters but it's gone beyond that to your point and probably the best way to talk about it is these six customer award winners that we recognized last night. I've gotten to know all six of those over the last year and while they are doing amazing things from a digital transformation using technology in the travel business, the automotive business, banking, financial services, insurance, kind of across the board, the thing that they say consistently is look, we didn't always have the answer in terms of what we needed but you came in, you listened, you rolled up your sleeves to try to figure out how you could design a solution that would meet the needs that we have and they said, that's why you're one of the most strategic partners that we have. Now you can do all those other things, right? You can supply chain ride and build and produce and all that but it's the design of a solution that helps us do the things that will allow us to be differentiated and you look at that list of six customers and brands that they represent, right, Carnival Cruise Lines, USAA, Bradesco, McLaren I mean, the list kind of goes on, they are the differentiators out there and we're really honored to be able to be working with them. >> So we're only a day one and it's only just after lunchtime but one of the things I think somatically that I heard this morning in the keynote with Michael and Pat and Jeff and Satya and yourself is, it's all about people. A couple interviews I did earlier today, same sort of thing, it's like we had the city of Las Vegas on. This is all driven by the people in for the people so that sense of community is really strong. I also noticed this year's theme of real transformation, parlays off last year's theme of make it real, it being digital transformation, IT, security, workforce transformation, what are some of the things that were like at Dell Technologies. Cloud this morning for example, VMware Cloud on Dell EMC that you guys specifically heard say from last year's attendees that are manifesting in some of the announcements today and some of the great things the 15 or so thousand people here are going to get to see and feel and touch at this year's event? >> Well, Lisa you nailed it. What you heard on stage today is what customers have been telling us over the last year. We unveiled about a month ago with a very small group of CIOs in Amia, our cloud strategy, our portfolio, the things that we're going to be able to do and one customer in particular immediately chimed in and said, we need you in the cloud and we need you in there now because you offer choice, you offer open, you offer simplicity, you offer integration and they're like, there's just too many choices and a lot of them are expensive. So what you heard on stage is absolutely a manifestation of what they told us. The other pieces, look, I think I think the industry and CIOs are very quickly realizing their workforce matters, making them happy and productive matters having them enabled that they can work flexibly wherever they want to really, really matters and you know, our Unified Workspace ONE solution is all about how we help them simplify, automate, streamline that experience with their workforce so their employees stick around. I mean, there's a war on talent and everybody's dealing with it and that experience is really, really important in particular to the gensies and the millennials. >> Karen, I love that point. Actually, I was really impressed this morning. In the press and analyst session this morning, there was a discussion of diversity and inclusion and the thing that I heard is, it's a business imperative, it's not, okay it's nice to do it or we should do it but no, this is actually critical to the business. Can you talk about what that means and what you hear from your customers and partners. >> Yes, yes, well, we're seeing it in spades and all of these technology jobs that are open, right. So look, all the research has shown that if you build a diverse team, you'll get to a more innovative solution and people generally get that but what they really get today is here in the U.S. alone, there's 1.1 million open technology jobs by the year 2024, half of them, half of them are going to be filled by the existing workforce. So there is this war in talent that is going to get bigger and bigger and bigger and I think that's what really has given a wake-up call to corporations around why this matters. I think the other piece that we're starting to see, not just around diversity but in our other social impact priorities around the environment as well as how we use our technology for good, look, customers want to do business with a corporation that has a soul and they stand for something and they're doing something, not just a bunch of talking heads but where it's really turning into action and they're being transparent about the journeys and where they're at with it. So it matters now to the current generation, the next generation, it matters to business leaders, matters to the financial services community, which you start to see you know, some of the momentum around you know, the black stones and state street. So it's really exciting that we're part of it and we're leading the way in a lot of number of areas. >> And it's something to that we talked about a lot on theCUBE, diversity and inclusion from many different levels, one of them being the business imperative that you talked about, the workforce needing to compete for this talent, but also how much different products and technologies and apps and APS and things can be with just thought diversity in and of itself and I think it's refreshing to what Stu was saying, hey, we're hearing this is a business imperative but you're also seeing proof in the pudding. This isn't just, we've got an imperative and we're going to do things nominally, you're seeing the efforts manifest. One of the, Draper Labs who was one of the customer award winners. That video that was shown this morning struck probably everyone's heart with the campfire in Paradise California. >> Tragic. >> I grew up close to there and that was something that only maybe, I get goosebumps, six months ago, so massively devastating and we think you know, that was 2018 but seeing how Dell Technologies is enabling this laboratory to investigate the potential toxins coming from all of this chart debris and how they're working to understand the social impact to all of us as they rebuild, I just thought it was a really nice manifestation of a social impact but also the technology breadth and differentiation that Dell has enabling. >> That was also why this story today was so great about Phoebe, right because it's where you can connect the human spirit with technology and scale and have an even bigger impact and there's so much that technology can help with today. You know, that that story about Phoebe. From the time that her aunt from Deloitte identified, you know, what we could do, all the way to the time that Phoebe got her first arm was less than seven months, seven months and you think about you know, some of the other prototypes that were out there, times would take years to be able to do it. So I love that you know, connection of human need with the human spirit and connecting and inspiring and motivating so many children and adults around the world. >> And what what are some of the next, speaking of Phoebe and the Deloitte digital 3D prosthetics partnership, what are some of the other areas we're going to see this technology that this little five-year-old from Manchester spurned. >> Well, I'll give you another example. So we, there was an individual in India, actually an employee of ours that designed an application to help figure out how to deploy healthcare monitoring in some of the remote villages in India where they don't have access to basic things that we take for granted. Monitoring your blood pressure, right, checking your cholesterol level and he created this application that a year later now, we have given kind of the full range of the Dell portfolio technology suite. So it is you know our application plus Pivotal plus VMware plus Dell EMC combined with the partnering that we've done with Tata Trust and the State of India, we've now deployed this healthcare solution called Life Care Solution to nearly 37 million rural residents, citizens in India. >> Wow 37 million. >> 37 million, so a small idea, you take from a really passionate individual, a person, a human being and figure out how you can really leverage that across the full gamut of what Dell can do, I think the results are incredible. >> Awesome, you guys also have a Women in Technology Executive Summit that you're hosting later this week. Let's talk about that in conjunction of what we talked a minute ago about, it's a business imperative as Stu pointed out, there are tangible, measurable results, tell us about this. >> Well, I'm kind of done honestly with a lot of the negativity around, oh, we're not making any progress, oh, we need to be moving fast and if you look at the amount of effort, energy and focus that is going into this space by so many companies and the public sector, it's remarkable and I've met a number of these CIOs over the last year or two, so we basically said let's invite 20 of them, let's share our passion, have made progress, care about solving this across their organization. A lot of us are working on the same things so if we simply got in a room and figured out, are their power in numbers and if we worked collectively together, could we accelerate progress. So that's what it's all about. So we have about 15 or 20 CEOs, both men and women and we'll be spending you know, six or seven hours together and we want to walk away with one or two recommendations on some things that we could collaborate on and have a faster, bigger impact. >> And I heard that, you mentioned collaboration, that's one of the vibes I also got from the keynote this morning when you saw Michael up there with Pat and Jeff and Satya, the collaboration within Dell Technologies, I think even talking with Stu and some of the things that have come out and that I've read, it seems to be more symbiosis with VMware but even some the, like I said, we're only in, I wouldn't even say halfway through day one and that is the spirit around here. We talk about people influence, but this spirit of collaboration is very authentic here. You are the first chief customer officer for Dell, if you look back at your tenure in this role, could you have envisioned where you are now? >> No, because it was like the first ever chief customer officer at Dell and you know, it really gave me a unique opportunity to build something from scratch and you know, there's been a number of other competitors as well as other companies that have announced in the last year or so the need to have a chief customer officer, the need to figure out how, which is a big remit of mine across Dell Technologies, how do we how do we eliminate the silos and connect the seams because that's where the value is going to be unlocked for our customers. That's what you saw on stage today. You saw the value of that with Jeff, with Pat, with Satya, some you know, one of our most important partners out there. Our customers don't want point solutions, they want them to be integrated, they want it to be streamlined, they don't be automated, they want us to speed time to value, they want us to streamline a lot of the back-office kind of mundane things that they're like, I don't want my people spending their time anymore and doing that and that's where we see Dell Technologies being so much more differentiated from other choices in the market. >> Yep, I agree with you. Well Karen, thank you so much for joining Stu and me on theCUBE this afternoon, sharing some of the stories, look forward to hearing next year what comes out of this year's as Women in Tech Exec Summit. Thank you so much for your time. >> Thank you very much, thank you. >> with Stu Miniman, I'm Lisa Martin, you're watching theCUBE, live day one of Dell Technology World from Las Vegas, thanks for watching. (light electronic music)

Published Date : Apr 29 2019

SUMMARY :

Brought to you by Dell Technologies There's about 4,000 of the Always great to be with you all. So one of the things you and you know, as you mention Phoebe is and the one that she has today is printed a lot of that is, I need to and probably the best way to talk about it and some of the great things the 15 and said, we need you in the cloud and what you hear from your and people generally get that that you talked about, the and we think you know, that was 2018 and adults around the world. and the Deloitte digital Trust and the State of India, that across the full gamut Awesome, you guys also have a and the public sector, it's remarkable and that is the spirit around here. and connect the seams sharing some of the stories, of Dell Technology World from Las Vegas,

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Katherine Kostereva, bpm’online | 7th Annual CloudNOW Awards


 

>> Announcer: From the heart of Silicon Valley, it's theCUBE covering CloudNOW's 7th annual Top Women Entrepreneurs in Cloud Innovation Awards. (lively music) >> Hi, Lisa Martin with theCUBE on the ground at Facebook Headquarters. We're here with the CloudNOW Top Women Entrepreneurs in Cloud Innovation Awards, their seventh annual. We're here with one of the award winners, Katherine Kostereva, the founder and CEO of bpm'online. Katherine, it's great to have you here. >> It's honor to be here. Thank you very much, Lisa. >> Congratulations on the CloudNOW award, but also you are no stranger to awards. Even in 2018, you were named one of the Top 50 SaaS CEOs for 2018. Not just female CEOs, CEOs. That's a pretty big honor as well. >> Katherine: Thank you. >> So bpm'online I want folks to understand not just your career path, but also that you're pretty persistent and bold. Bpm'online is a very successful and well-known business in Europe. >> Katherine: Right. >> Founded in 2002 with five people. >> 16 years ago. >> 16 years ago. >> Bootstrapped. >> Bootstrapped by yourself, and here you are recently moved to the US and you're basically kind of start-up in the US. >> Exactly. >> Tell us a little bit about that story. What you grew as a female leader in Europe, and the impetus to say we can do more and bring the business to the United States. >> Absolutely, would love to tell you this story. So 16 years ago we built this company. Bootstrapped it, no investors, no friends and family money. Just from zero, from scratch, and have successfully grown the business until we started to hear from our customers who were large, global organizations using our software in Europe. We started to hear, "Hey guys, "why we don't know you in the United States? "Why our headquarters doesn't know your name?" And then we started to talk to Gartner and Forrester, and they said exactly the same. Your technology is so amazing, and, right now, we are included in five Gartner Magic Quadrants and five Forrester Waves. And technology is amazing, but why you are not here in the United States? So, eventually, I moved to the United States with some of my peers, and we started to build our office in Boston. It happened three years ago. So right now we feel ourselves like a start-up here in Boston. While back like several years ago in Europe, and right now actually in Europe, this is a strong, mature company with 500 people in the company, working in the company in six offices. >> And business process automation, CRM, well-known in Europe, tell us about why did you select Boston and not come out here to Silicon Valley when you decided to move out here? >> (laughs) That's a great question, and I have a very easy answer to this question. As we have so many customers, partners and actually team members in Europe, we just wanted to find something with a shortest time-zone like time difference, right. So the difference between Europe and Boston is five to seven hours while here's it's additional plus three hours. So my day usually starts with Europe, so, when I start working around 7 a.m. in the morning, I work work with Europe, then I work with the United States, and then in the evening I start working with APAC with Asia, with Australia because we have our office in Australia as well. So we have our customers and people working in Australia, so this is my evening hours. >> Oh my goodness, so here you are being recognized tonight as a female entrepreneur. Tell us about your inspiration, and what has kept you persistent. Being a female in technology is challenging, and we all know that and, for many reasons. Hopefully one day it won't matter, gender, but it does. What are some of your recommendations for not only founding a company, and really kind of harnessing that persistence but also growing a culture that supports diversity. That understands and embraces change. >> This is a great question. Honestly, for me those are my customers, and that what I would recommend all women and female and male entrepreneurs to talk more to their customers because when you and your customers have the same vision about how to develop the company, how to develop the product, it inspires you. You just, you move on. You want to develop. You want to develop more, and just to give you an example both our customers and our team we believe that organization just can't have excellent customer relations without very holistic business processes beneath. So we believe that organization, if we're talking about mid-sized and large organization, they need to have holistic processes first, and then, based on this process, they going to have great customer relations. So this is kind of our vision and our mission, and that's what our customers share with us and that what has inspires me to move on and on and develop new products for our customers. >> Well, Katherine congratulations on the CloudNOW Award win. >> Thank you. >> Thanks so much for joining us on the program, and we hope you have a great night. >> Thank you so much for your time. Honor to be here. Thank you >> Our pleasure. We want to thank you for watching. I'm Lisa Martin for theCUBE at Facebook Headquarters. We'll see you next time. (lively, airy music)

Published Date : Jan 30 2019

SUMMARY :

Announcer: From the heart of Silicon Valley, Katherine, it's great to have you here. Thank you very much, Lisa. Even in 2018, you were named one So bpm'online I want folks to understand and you're basically kind of start-up in the US. and the impetus to say we can do more and have successfully grown the business and then in the evening I start working and what has kept you persistent. and just to give you an example on the CloudNOW Award win. and we hope you have a great night. Thank you so much for your time. We want to thank you for watching.

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Part 1: Andre Pienaar, C5 Capital | Exclusive CUBE Conversation, December 2018


 

[Music] when welcome to the special exclusive cube conversation here in Palo Alto in our studios I'm John for your host of the cube we have a very special guest speaking for the first time around some alleged alleged accusations and also innuendo around the Amazon Web Services Jedi contract and his firm c5 capital our guest as Andre Pienaar who's the founder of c5 capital Andre is here for the first time to talk about some of the hard conversations and questions surrounding his role his firm and the story from the BBC Andre thanks for a rat for meeting with me John great to have me thank you so you're at the center of a controversy and just for the folks who know the cube know we interviewed a lot of people I've interviewed you at Amazon web sources summit Teresa Carl's event and last year I met you and bought a rein the work you're doing there so I've met you a few times so I don't know your background but I want to drill into it because I was surprised to see the BBC story come out last week that was basically accusing you of many things including are you a spy are you infiltrating the US government through the Jedi contract through Amazon and knowing c-5 capital I saw no correlation when reading your article I was kind of disturbed but then I saw I said a follow-on stories it just didn't hang together so I wanted to press you on some questions and thanks for coming in and addressing them appreciate it John thanks for having me so first thing I want to ask you is you know it has you at the center this firm c5 capital that you the founder of at the center of what looks like to be the fight for the big ten billion dollar DoD contract which has been put out to multiple vendors so it's not a single source deal we've covered extensively on silicon angle calm and the cube and the government the government Accounting Office has ruled that there are six main benefits of going with a sole provider cloud this seems to be the war so Oracle IBM and others have been been involved we've been covering that so it kind of smells like something's going along with the story and I just didn't believe some of the things I read and I want to especially about you and see five capitals so I want to dig into what the first thing is it's c5 capital involved in the Jedi contract with AWS Sean not at all we have absolutely no involvement in the Jedi contract in any way we're not a bidder and we haven't done any lobbying as has been alleged by some of the people who've been making this allegation c5 has got no involvement in the general contract we're a venture capital firm with a British venture capital firm we have the privilege of investing here in the US as a foreign investor and our focus really is on the growth and the success of the startups that we are invested in so you have no business interest at all in the deal Department of Defense Jedi contract none whatsoever okay so to take a minute to explain c5 firm I read some of the stories there and some of the things were intricate structures of c5 cap made it sound like there was like a cloak-and-dagger situation I want to ask you some hard questions around that because there's a link to a Russian situation but before we get to there I want to ask you explain what is c5 capital your mission what are the things that you're doing c5 is a is a British venture capital firm and we are focused on investing into fast-growing technology companies in three areas cloud computing cyber security and artificial intelligence we have two parts our business c5 capital which invests into late stage companies so these are companies that typically already have revenue visibility and profitability but still very fast-growing and then we also have a very early stage startup platform that look at seed state investment and this we do through two accelerators to social impact accelerators one in Washington and one in Bahrain and it's just size of money involved just sort of order magnitude how many funds do you have how is it structure again just share some insight on that is it is there one firm is there multiple firms how is it knows it work well today the venture capital business has to be very transparent it's required by compliance we are a regulated regulated firm we are regulated in multiple markets we regulated here in the US the sec as a foreign investor in london by the financial conduct authority and in Luxembourg where Afonso based by the regulatory authorities there so in the venture capital industry today you can't afford to be an opaque business you have to be transparent at all levels and money in the Western world have become almost completely transparent so there's a very comprehensive and thorough due diligence when you onboard capital called know your client and the requirements standard requirement now is that whenever you're onboard capital from investor you're gonna take it right up to the level of the ultimate beneficial ownership so who actually owns this money and then every time you invest and you move your money around it gets diligence together different regulators and in terms of disclosure and the same applies often now with clients when our portfolio companies have important or significant clients they also want to know who's behind the products and the services they receive so often our boards our board directors and a shell team also get diligence by by important clients so explain this piece about the due diligence and the cross country vetting that goes on is I think it's important I want to get it out because how long has been operating how many deals have you done you mentioned foreign investor in the United States you're doing deals in the United States I know I've met one of your portfolio companies at an event iron iron on it iron net general Keith Alexander former head of the NSA you know get to just work with him without being vetted I guess so so how long a c5 capital been in business and where have you made your investments you mentioned cross jurisdiction across countries whatever it's called I don't know that so we've been and we've been in existence for about six years now our main focus is investing in Europe so we help European companies grow globally Europe historically has been underserved by venture capital we on an annual basis we invest about twenty seven billion dollars gets invested in venture capital in Europe as opposed to several multiples of that in the US so we have a very important part to play in Europe to how European enterprise software companies grow globally other important markets for us of course are Israel which is a major center of technology innovation and and the Middle East and then the u.s. the u.s. is still the world leader and venture capital both in terms of size but also in terms of the size of the market and of course the face and the excitement of the innovation here I want to get into me early career because again timing is key we're seeing this with you know whether it's a Supreme Court justice or anyone in their career their past comes back to haunt them it appears that has for you before we get there I want to ask you about you know when you look at the kind of scope of fraud and corruption that I've seen in just on the surface of government thing the government bit Beltway bandits in America is you got a nonprofit that feeds a for-profit and then what you know someone else runs a shell corporation so there's this intricate structures and that word was used which it kind of implies shell corporations a variety of backroom kind of smokey deals going on you mentioned transparency I do you have anything to hide John in in in our business we've got absolutely nothing to hide we have to be transparent we have to be open if you look at our social media profile you'll see we are communicating with the market almost on a daily basis every time we make an investment we press release that our website is very clear about who's involved enough who our partners are and the same applies to my own personal website and so in terms of the money movement around in terms of deploying investments we've seen Silicon Valley VCS move to China get their butts handed to them and then kind of adjust their scenes China money move around when you move money around you mentioned disclosure what do you mean there's filings to explain that piece it's just a little bit so every time we make an investment into a into a new portfolio company and we move the money to that market to make the investment we have to disclose who all the investors are who are involved in that investment so we have to disclose the ultimate beneficial ownership of all our limited partners to the law firms that are involved in the transactions and those law firms in turn have applications in terms of they own anti-money laundering laws in the local markets and this happens every time you move money around so I I think that the level of transparency in venture capital is just continue to rise exponentially and it's virtually impossible to conceal the identity of an investor this interesting this BBC article has a theme of national security risk kind of gloom and doom nuclear codes as mentioned it's like you want to scare someone you throw nuclear codes at it you want to get people's attention you play the Russian card I saw an article on the web that that said you know anything these days the me2 movement for governments just play the Russian card and you know instantly can discredit someone's kind of a desperation act so you got confident of interest in the government national security risk seems to be kind of a theme but before we get into the BBC news I noticed that there was a lot of conflated pieces kind of pulling together you know on one hand you know you're c5 you've done some things with your hat your past and then they just make basically associate that with running amazon's jedi project yes which i know is not to be true and you clarified that joan ends a problem joan so as a venture capital firm focused on investing in the space we have to work with all the Tier one cloud providers we are great believers in commercial cloud public cloud we believe that this is absolutely transformative not only for innovation but also for the way in which we do venture capital investment so we work with Amazon Web Services we work with Microsoft who work with Google and we believe that firstly that cloud has been made in America the first 15 companies in the world are all in cloud companies are all American and we believe that cloud like the internet and GPS are two great boons which the US economy the u.s. innovation economy have provided to the rest of the world cloud computing is reducing the cost of computing power with 50 percent every three years opening up innovation and opportunities for Entrepreneurship for health and well-being for the growth of economies on an unprecedented scale cloud computing is as important to the global economy today as the dollar ease as the world's reserve currency so we are great believers in cloud we great believers in American cloud computing companies as far as Amazon is concerned our relationship with Amazon Amazon is very Amazon Web Services is very clear and it's very defined we participate in a public Marcus program called AWS activate through which AWS supports hundreds of accelerators around the world with know-how with mentoring with teaching and with cloud credits to help entrepreneurs and startups grow their businesses and we have a very exciting focus for our two accelerators which is on in Washington we focus on peace technology we focus on taking entrepreneurs from conflict countries like Sudan Nigeria Pakistan to come to Washington to work on campus in the US government building the u.s. Institute for peace to scale these startups to learn all about cloud computing to learn how they can grow their businesses with cloud computing and to go back to their own countries to build peace and stability and prosperity their heaven so we're very proud of this mission in the Middle East and Bahrain our focus is on on female founders and female entrepreneurs we've got a program called nebula through which we empower female founders and female entrepreneurs interesting in the Middle East the statistics are the reverse from what we have in the West the majority of IT graduates in the Middle East are fimo and so there's a tremendous talent pool of of young dynamic female entrepreneurs coming out of not only the Gulf but the whole of the MENA region how about a relation with Amazon websites outside of their normal incubators they have incubators all over the place in the Amazon put out as Amazon Web Services put out a statement that said hey you know we have a lot of relationships with incubators this is normal course of business I know here in Silicon Valley at the startup loft this is this is their market filled market playbook so you fit into that is that correct as I'm I get that that's that's absolutely correct what we what is unusual about a table insists that this is a huge company that's focused on tiny startups a table started with startups it double uses first clients with startups and so here you have a huge business that has a deep understanding of startups and focus on startups and that's enormous the attractor for us and terrific for our accelerators department with them have you at c5 Capitol or individually have any formal or conversation with Amazon employees where you've had outside of giving feedback on products where you've tried to make change on their technology make change with their product management teams engineering you ever had at c5 capital whore have you personally been involved in influencing Amazon's product roadmap outside they're just giving normal feedback in the course of business that's way above my pay grade John firstly we don't have that kind of technical expertise in C 5 C 5 steam consists of a combination of entrepreneurs like myself people understand money really well and leaders we don't have that level of technical expertise and secondly that's what one our relationship with AWS is all about our relationship is entirely limited to the two startups and making sure that the two accelerators in making sure that the startups who pass through those accelerators succeed and make social impact and as a partner network component Amazon it's all put out there yes so in in a Barren accelerator we've we formed part of the Amazon partner network and the reason why we we did that was because we wanted to give some of the young people who come through the accelerator and know mastering cloud skills an opportunity to work on some real projects and real live projects so some of our young golf entrepreneurs female entrepreneurs have been working on building websites on Amazon Cloud and c5 capital has a relationship with former government officials you funded startups and cybersecurity that's kind of normal can you explain that positioning of it of how former government if it's whether it's US and abroad are involved in entrepreneurial activities and why that is may or may not be a problem certainly is a lot of kind of I would say smoke around this conversation around coffin of interest and you can you explain intelligence what that was it so I think the model for venture capital has been evolving and increasingly you get more and more differentiated models one of the key areas in which the venture capital model is changed is the fact that operating partners have become much more important to the success of venture capital firms so operating partners are people who bring real world experience to the investment experience of the investment team and in c-five we have the privilege of having a terrific group of operating partners people with both government and commercial backgrounds and they work very actively enough firm at all levels from our decision-making to the training and the mentoring of our team to helping us understand the way in which the world is exchanging to risk management to helping uh portfolio companies grow and Silicon Valley true with that to injuries in Horowitz two founders mr. friendly they bring in operating people that have entrepreneurial skills this is the new model understand order which has been a great source of inspiration to us for our model and and we built really believe this is a new model and it's really critical for the success of venture capitals to be going forward and the global impact is pretty significant one of things you mentioned I want to get your take on is as you operate a global transaction a lots happened a lot has to happen I mean we look at the ICO market on the cryptocurrency side its kind of you know plummeting obsoletes it's over now the mood security children's regulatory and transparency becomes critical you feel fully confident that you haven't you know from a regulatory standpoint c5 capital everything's out there absolutely risk management and regulated compliance and legal as the workstream have become absolutely critical for the success of venture capital firms and one of the reasons why this becomes so important John is because the venture capital world over the last few years have changed dramatically historically all the people involved in venture capital had very familiar names and came from very familiar places over the last few years with a diversification of global economic growth we've seen it's very significant amounts of money being invest invested in startups in China some people more money will invest in startups this year in China than in the US and we've seen countries like Saudi Arabia becoming a major source of venture capital funding some people say that as much as 70% of funding rounds this year in some way or another originated from the Gulf and we've seen places like Russia beginning to take an interest in technology innovation so the venture capital world is changing and for that reason compliance and regulation have become much more important but if Russians put 200 million dollars in face book and write out the check companies bright before that when the after 2008 we saw the rise of social networking I think global money certainly has something that I think a lot of people start getting used to and I want on trill down into that a little bit we talked about this BBC story that that hit and the the follow-on stories which actually didn't get picked up was mostly doing more regurgitation of the same story but one of the things that that they focus in on and the story was you and the trend now is your past is your enemy these days you know they try to drum up stuff in the past you've had a long career some of the stuff that they've been bringing in to paint you and the light that they did was from your past so I wanted to explore that with you I know you this is the first time you've talked about this and I appreciate you taking the time talk about your early career your background where you went to school because the way I'm reading this it sounds like you're a shady character I like like I interviewed on the queue but I didn't see that but you know I'm going to pressure here for that if you don't mind I'd like to to dig into that John thank you for that so I've had the I've had the privilege of a really amazingly interesting life and at the heart of at the heart of that great adventures been people and the privilege to work with really great people and good people I was born in South Africa I grew up in Africa went to school there qualified as a lawyer and then came to study in Britain when I studied international politics when I finished my studies international politics I got head hunted by a US consulting firm called crow which was a start of a 20 years career as an investigator first in crawl where I was a managing director in the London and then in building my own consulting firm which was called g3 and all of this led me to cybersecurity because as an investigator looking into organized crime looking into corruption looking into asset racing increasingly as the years went on everything became digital and I became very interested in finding evidence on electronic devices but starting my career and CRO was tremendous because Jules Kroll was a incredible mentor he could walk through an office and call everybody by their first name any Kroll office anywhere in the world and he always took a kindly interest in the people who work for him so it was a great school to go to and and I worked on some terrific cases including some very interesting Russian cases and Russian organized crime cases just this bag of Kroll was I've had a core competency in doing investigative work and also due diligence was that kind of focus yes although Kroll was the first company in the world to really have a strong digital practice led by Alan Brugler of New York Alan established the first computer forensics practice which was all focused about finding evidence on devices and everything I know about cyber security today started with me going to school with Alan Brolin crawl and they also focused on corruption uncovering this is from Wikipedia Kroll clients help Kroll helps clients improve operations by uncovering kickbacks fraud another form of corruptions other specialty areas is forensic accounting background screening drug testing electronic investigation data recovery SATA result Omar's McLennan in 2004 for 1.9 billion mark divested Kroll to another company I'll take credit risk management to diligence investigator in Falls Church Virginia over 150 countries call Kroll was the first CRO was the first household brand name in this field of of investigations and today's still is probably one of the strongest brand names and so it was a great firm to work in and was a great privilege to be part of it yeah high-end high-profile deals were there how many employees were in Kroll cuz I'd imagine that the alumni that that came out of Kroll probably have found places in other jobs similar to yes do an investigative work like you know they out them all over the world many many alumni from Kroll and many of them doing really well and doing great work ok great so now the next question want to ask you is when you in Kroll the South Africa connection came up so I got to ask you it says business side that you're a former South African spy are you a former South African spy no John I've never worked for any government agency and in developing my career my my whole focus has been on investigations out of the Kroll London office I did have the opportunity to work in South Africa out of the Kroll London office and this was really a seminal moment in my career when I went to South Africa on a case for a major international credit-card company immediately after the end of apartheid when democracy started to look into the scale and extent of credit card fraud at the request of this guy what year was there - how old were you this was in 1995 1996 I was 25 26 years old and one of the things which this credit card company asked me to do was to assess what was the capability of the new democratic government in South Africa under Nelson Mandela to deal with crime and so I had the privilege of meeting mr. Mandela as the president to discuss this issue with him and it was an extraordinary man the country's history because there was such an openness and a willingness to to address issues of this nature and to grapple with them so he was released from prison at that time I remember those days and he became president that's why he called you and you met with him face to face of a business conversation around working on what the future democracy is and trying to look at from a corruption standpoint or just kind of in general was that what was that conversation can you share so so that so the meeting involved President Mandela and and the relevant cabinet ministers the relevant secretaries and his cabinet - responsible for for these issues and the focus of our conversation really started with well how do you deal with credit card fraud and how do you deal with large-scale fraud that could be driven by organized crime and at the time this was an issue of great concern to the president because there was bombing in Kate of a Planet Hollywood cafe where a number of people got very severely injured and the president believed that this could have been the result of a protection racket in Cape Town and so he wanted to do something about it he was incredibly proactive and forward-leaning and in an extraordinary way he ended the conversation by by asking where the Kroll can help him and so he commissioned Kroll to build the capacity of all the black officers that came out of the ANC and have gone into key government positions on how to manage organized crime investigations it was the challenge at that time honestly I can imagine apartheid I remember you know I was just at a college that's not properly around the same age as you it was a dynamic time to say the least was his issue around lack of training old school techniques because you know that was right down post-cold-war and then did what were the concerns not enough people was it just out of control was it a corrupt I mean just I mean what was the core issue that Nelson wanted to hire Kroll and you could work his core issue was he wanted to ensure the stability of South Africa's democracy that was his core focus and he wanted to make South Africa an attractive place where international companies felt comfortable and confident in investing and that was his focus and he felt that at that time because so many of the key people in the ANC only had training in a cold war context that there wasn't a Nessy skill set to do complex financial or more modern investigations and it was very much focused he was always the innovator he was very much focused on bringing the best practices and the best investigative techniques to the country he was I felt in such a hurry that he doesn't want to do this by going to other governments and asking for the help he wanted to Commission it himself and so he gave he gave a crawl with me as the project leader a contract to do this and my namesake Francois Pienaar has become very well known because of the film Invictus and he's been he had the benefit of Mandela as a mentor and as a supporter and that changed his career the same thing happened to me so what did he actually asked you to do was it to train build a force because there's this talk that and was a despite corruption specifically it was it more both corruption and or stability because they kind of go hand in hand policy and it's a very close link between corruption and instability and and president Ellis instructions were very clear to Crowley said go out and find me the best people in the world the most experienced people in the world who can come to South Africa and train my people how to fight organized crime so I went out and I found some of the best people from the CIA from mi6 the British intelligence service from the Drug Enforcement Agency here in the US form officers from the Federal Bureau of Investigation's detectives from Scotland Yard prosecutors from the US Justice Department and all of them for a number of years traveled to South Africa to train black officers who were newly appointed in key roles in how to combat organized crime and this was you acting as an employee he had crow there's not some operative this is he this was me very much acting as a as an executive and crow I was the project leader Kroll was very well structured and organized and I reported to the chief executive officer in the London office nor Garret who was the former head of the CIA's Near East Division and Nelson Mandela was intimately involved in this with you at Krall President Mandela was the ultimate support of this project and he then designated several ministers to work on it and also senior officials in the stories that had been put out this past week they talked about this to try to make it sound like you're involved on two sides of the equation they bring up scorpions was this the scorpions project that they referred to so it was the scorpions scorpion sounds so dangerous and a movie well there's a movie a movie does feature this so at the end of the training project President Mandela and deputy president Thabo Mbeki who subsequently succeeded him as president put together a ministerial committee to look at what should they do with the capacity that's been built with this investment that they made because for a period of about three years we had all the leading people the most experienced people that have come out of some of the best law enforcement agencies and some of the best intelligence services come and trained in South Africa and this was quite this was quite something John because many of the senior officers in the ANC came from a background where they were trained by the opponents of the people came to treat trained them so so many of them were trained by the Stasi in East Germany some of them were trained by the Russian KGB some of them were trained by the Cubans so we not only had to train them we also had to win their trust and when we started this that's a diverse set of potential dogma and or just habits a theory modernised if you will right is that what the there was there was a question of of learning new skills and there was a question about also about learning management capabilities there was also question of learning the importance of the media for when you do difficult and complex investigations there was a question about using digital resources but there was also fundamentally a question of just building trust and when we started this program none of the black officers wanted to be photographed with all these foreign trainers who were senior foreign intelligence officers when we finished that everyone wanted to be in the photograph and so this was a great South African success story but the President and the deputy president then reflected on what to do with his capacity and they appointed the ministerial task force to do this and we were asked to make recommendations to this Minister ministerial task force and one of the things which we did was we showed them a movie because you referenced the movie and the movie we showed them was the untouchables with Kevin Costner and Sean Connery which is still one of my favorite and and greatest movies and the story The Untouchables is about police corruption in Chicago and how in the Treasury Department a man called Eliot Ness put together a group of officers from which he selected from different places with clean hands to go after corruption during the Probie and this really captured the president's imagination and so he said that's what he want and Ella yeah okay so he said della one of the untouchables he wanted Eliot Ness exactly Al Capone's out there and and how many people were in that goodness so we asked that we we established the government then established decided to establish and this was passed as a law through Parliament the director of special operations the DSO which colloquy became known as the scorpions and it had a scorpion as a symbol for this unit and this became a standalone anti-corruption unit and the brilliant thing about it John was that the first intake of scorpion officers were all young black graduates many of them law graduates and at the time Janet Reno was the US Attorney General played a very crucial role she allowed half of the first intake of young cratchits to go to Quantico and to do the full FBI course in Quantico and this was the first group of foreign students who've ever been admitted to Quantico to do the full Quantico were you involved at what score's at that time yes sir and so you worked with President Mandela yes the set of the scorpions is untouchable skiing for the first time as a new democracy is emerging the landscape is certainly changing there's a transformation happening we all know the history laugh you don't watch Invictus probably great movie to do that you then worked with the Attorney General United States to cross-pollinate the folks in South Africa black officers law degrees Samar's fresh yes this unit with Quantico yes in the United States I had the privilege of attending the the graduation ceremony of the first of South African officers that completed the Quantico course and representing crow they on the day you had us relationships at that time to crawl across pollen I had the privilege of working with some of the best law enforcement officers and best intelligence officers that has come out of the u.s. services and they've been tremendous mentors in my career they've really shaped my thinking they've shaped my values and they've they've shaved my character so you're still under 30 at this time so give us a is that where this where are we in time now just about a 30 so you know around the nine late nineties still 90s yeah so client-server technologies there okay so also the story references Leonard McCarthy and these spy tapes what is this spy tape saga about it says you had a conversation with McCarthy me I'm thinking that a phone tap explain that spy tape saga what does it mean who's Lennon McCarthy explain yourself so so so Leonard McCarthy it's a US citizen today he served two terms as the vice president for institutional integrity at the World Bank which is the world's most important anti-corruption official he started his career as a prosecutor in South Africa many years ago and then became the head of the economic crimes division in the South African Justice Department and eventually became the head of the scorpions and many years after I've left Kroll and were no longer involved in in the work of the scorpions he texted me one evening expressing a concern and an anxiety that I had about the safety of his family and I replied to him with two text messages one was a Bible verse and the other one was a Latin saying and my advice name was follow the rule of law and put the safety of your family first and that was the advice I gave him so this is how I imagined the year I think of it the internet was just there this was him this was roundabout 2000 December 2007 okay so there was I phone just hit so text messaging Nokia phones all those big yeah probably more text message there so you sitting anywhere in London you get a text message from your friend yep later this past late tonight asking for help and advice and I gave him the best advice I can he unfortunately was being wiretapped and those wiretaps were subsequently published and became the subject of much controversy they've now been scrutinized by South Africa's highest court and the court has decided that those wiretaps are of no impact and of importance in the scheme of judicial decision-making and our unknown provenance and on and on unknown reliability they threw it out basically yeah they're basically that's the president he had some scandals priors and corruption but back to the tapes you the only involvement on the spy tapes was friend sending you a text message that says hey I'm running a corruption you know I'm afraid for my life my family what do I do and you give some advice general advice and that's it as there was there any more interactions with us no that's it that's it okay so you weren't like yeah working with it hey here's what we get strategy there was nothing that going on no other interactions just a friendly advice and that's what they put you I gave him my I gave him my best advice when you when you work in when you work as an investigator very much as and it's very similar in venture capital it's all about relationships and you want to preserve relationships for the long term and you develop deep royalties to its people particularly people with whom you've been through difficult situations as I have been with Leonard much earlier on when I was still involved in Kroll and giving advice to South African government on issues related to the scorpius so that that has a lot of holes and I did think that was kind of weird they actually can produce the actual tax I couldn't find that the spy tapes so there's a spy tape scandal out there your name is on out on one little transaction globbed on to you I mean how do you feel about that I mean you must've been pretty pissed when you saw that when you do it when when you do when you do investigative work you see really see everything and all kinds of things and the bigger the issues that you deal with the more frequently you see things that other people might find unusual I are you doing any work right now with c5 at South Africa and none whatsoever so I've I retired from my investigative Korea in 2014 I did terrific 20 years as an investigator during my time as investigator I came to understood the importance of digital and cyber and so at the end of it I saw an opportunity to serve a sector that historically have been underserved with capital which is cyber security and of course there are two areas very closely related to cyber security artificial intelligence and cloud and that's why I created c5 after I sold my investigator firm with five other families who equally believed in the importance of investing private capital to make a difference invest in private capital to help bring about innovation that can bring stability to the digital world and that's the mission of c-5 before I get to the heart news I want to drill in on the BBC stories I think that's really the focal point of you know why we're talking just you know from my standpoint I remember living as a young person in that time breaking into the business you know my 20s and 30s you had Live Aid in 1985 and you had 1995 the internet happened there was so much going on between those that decade 85 to 95 you were there I was an American so I didn't really have a lot exposure I did some work for IBM and Europe in 1980 says it's co-op student but you know I had some peak in the international world it must been pretty dynamic the cross-pollination the melting pot of countries you know the Berlin Wall goes down you had the cold war's ending you had apartheid a lot of things were going on around you yes so in that dynamic because if if the standard is you had links to someone you know talked about why how important it was that this melting pot and how it affected your relationships and how it looks now looking back because now you can almost tie anything to anything yes so I think the 90s was one of the most exciting periods of time because you had the birth of the internet and I started working on Internet related issues yet 20 million users today we have three and a half billion users and ten billion devices unthinkable at the time but in the wake of the internet also came a lot of changes as you say the Berlin Wall came down democracy in South Africa the Oslo peace process in the time that I worked in Kroll some of them made most important and damaging civil wars in Africa came to an end including the great war in the Congo peace came to Sudan and Angola the Ivory Coast so a lot of things happening and if you have a if you had a an international career at that time when globalization was accelerating you got to no a lot of people in different markets and both in crow and in my consulting business a key part of what it but we did was to keep us and Western corporations that were investing in emerging markets safe your credibility has been called in questions with this article and when I get to in a second what I want to ask you straight up is it possible to survive in the international theatre to the level that you're surviving if what they say is true if you if you're out scamming people or you're a bad actor pretty much over the the time as things get more transparent it's hard to survive right I mean talk about that dynamic because I just find it hard to believe that to be successful the way you are it's not a johnny-come-lately firms been multiple years operating vetted by the US government are people getting away in the shadows is it is is it hard because I almost imagine those are a lot of arbitrage I imagine ton of arbitrage that you that are happening there how hard or how easy it is to survive to be that shady and corrupt in this new era because with with with investigated with with intelligence communities with some terrific if you follow the money now Bitcoin that's a whole nother story but that's more today but to survive the eighties and nineties and to be where you are and what they're alleging I just what's your thoughts well to be able to attract capital and investors you have to have very high standards of governance and compliance because ultimately that's what investors are looking for and what investors will diligence when they make an investment with you so to carry the confidence of investors good standards of governance and compliance are of critical importance and raising venture capital and Europe is tough it's not like the US babe there's an abundance of venture capital available it's very hard Europe is under served by capital the venture capital invested in the US market is multiple of what we invest in Europe so you need to be even more focused on governance and compliance in Europe than you would be perhaps on other markets I think the second important point with Gmail John is that technology is brought about a lot of transparency and this is a major area of focus for our piece tech accelerator where we have startups who help to bring transparency to markets which previously did not have transparency for example one of the startups that came through our accelerator has brought complete transparency to the supply chain for subsistence farmers in Africa all the way to to the to the shelf of Walmart or a big grocery retailer in in the US or Europe and so I think technology is bringing a lot more more transparency we also have a global anti-corruption Innovation Challenge called shield in the cloud where we try and find and recognize the most innovative corporations governments and countries in the space so let's talk about the BBC story that hit 12 it says is a US military cloud the DoD Jedi contractor that's coming to award the eleventh hour safe from Russia fears over sensitive data so if this essentially the headline that's bolded says a technology company bidding for a Pentagon contract that's Amazon Web Services to store sensitive data has close partnerships with a firm linked to a sanctioned Russian oligarch the BBC has learned goes on to essentially put fear and tries to hang a story that says the national security of America is at risk because of c5u that's what we're talking about right now so so what's your take on this story I mean did you wake up and get an email said hey check out the BBC you're featured in and they're alleging that you have links to Russia and Amazon what Jon first I have to go I first have to do a disclosure I've worked for the BBC as an investigator when I was in Kroll and in fact I let the litigation support for the BBC in the biggest libel claim in British history which was post 9/11 when the BBC did a broadcast mistakenly accusing a mining company in Africa of laundering money for al-qaeda and so I represented the BBC in this case I was the manager hired you they hired me to delete this case for them and I'm I helped the BBC to reduce a libel claim of 25 million dollars to $750,000 so I'm very familiar with the BBC its integrity its standards and how it does things and I've always held the BBC in the highest regard and believed that the BBC makes a very important contribution to make people better informed about the world so when I heard about the story I was very disappointed because it seemed to me that the BBC have compromised the independence and the independence of the editorial control in broadcasting the story the reason why I say that is because the principal commentator in this story as a gentleman called John Wheeler who's familiar to me as a someone who's been trolling our firm on internet for the last year making all sorts of allegations the BBC did not disclose that mr. Weiler is a former Oracle executive the company that's protesting the Jedi bidding contract and secondly that he runs a lobbying firm with paid clients and that he himself often bid for government contracts in the US government context you're saying that John Wheeler who's sourced in the story has a quote expert and I did check him out I did look at what he was doing I checked out his Twitter he seems to be trying to socialise a story heavily first he needed eyes on LinkedIn he seems to be a consultant firm like a Beltway yes he runs a he runs a phone called in interoperability Clearing House and a related firm called the IT acquisition Advisory Council and these two organizations work very closely together the interoperability Clearing House or IC H is a consulting business where mr. Weiler acts for paying clients including competitors for this bidding contract and none of this was disclosed by the BBC in their program the second part of this program that I found very disappointing was the fact that the BBC in focusing on the Russian technology parks cocuwa did not disclose the list of skok of our partners that are a matter of public record on the Internet if you look at this list very closely you'll see c5 is not on there neither Amazon Web Services but the list of companies that are on there are very familiar names many of them competitors in this bidding process who acted as founding partners of skok about Oracle for example as recently as the 28th of November hosted what was described as the largest cloud computing conference in Russia's history at Skolkovo this is the this is the place which the BBC described as this notorious den of spies and at this event which Oracle hosted they had the Russian presidential administration on a big screen as one of their clients in Russia so some Oracle is doing business in Russia they have like legit real links to Russia well things you're saying if they suddenly have very close links with Skolkovo and so having a great many other Khayyam is there IBM Accenture cisco say Microsoft is saying Oracle is there so Skolkovo has a has a very distinguished roster of partners and if the BBC was fair and even-handed they would have disclosed us and they would have disclosed the fact that neither c5 nor Amazon feature as Corcovado you feel that the BBC has been duped the BBC clearly has been duped the program that they broadcasted is really a parlor game of six degrees of separation which they try to spun into a national security crisis all right so let's tell us John while ago you're saying John Wyler who's quoted in the story as an expert and by the way I read in the story my favorite line that I wanted to ask you on was there seems to be questions being raised but the question is being raised or referring to him so are you saying that he is not an expert but a plant for the story what's what's his role he's saying he works for Oracle or you think do you think he's being paid by Oracle like I can't comment on mr. Wireless motivation what strikes me is the fact that is a former Oracle executive what's striking is that he clearly on his website for the IC H identifies several competitors for the Jedi business clients and that all of this should have been disclosed by the BBC rather than to try and characterize and portray him as an independent expert on this story well AWS put out a press release or a blog post essentially hum this you know you guys had won it we're very clear and this I know it goes to the top because that's how Amazon works nothing goes out until it goes to the top which is Andy chassis and the senior people over there it says here's the relationship with c5 and ATS what school you use are the same page there but also they hinted the old guard manipulation distant I don't think they use the word disinformation campaign they kind of insinuate it and that's what I'm looking into I want to ask you are you part are you a victim of a disinformation campaign do you believe that you're not a victim being targeted with c5 as part of a disinformation campaign put on by a competitor to AWS I think what we've seen over the course of this last here is an enormous amount of disinformation around this contract and around this bidding process and they've a lot of the information that has been disseminated has not only not been factual but in some cases have been patently malicious well I have been covering Amazon for many many years this guy Tom Wyler is in seems to be circulating multiple reports invested in preparing for this interview I checked Vanity Fair he's quoted in Vanity Fair he's quoted in the BBC story and there's no real or original reporting other than those two there's some business side our article which is just regurgitating the Business Insider I mean the BBC story and a few other kind of blog stories but no real original yes no content don't so in every story that that's been written on this subject and as you say most serious publication have thrown this thrown these allegations out but in the in those few instances where they've managed to to publish these allegations and to leverage other people's credibility to their advantage and leverage other people's credibility for their competitive advantage John Wheeler has been the most important and prominent source of the allegations someone who clearly has vested commercial interests someone who clearly works for competitors as disclosed on his own website and none of this has ever been surfaced or addressed I have multiple sources have confirmed to me that there's a dossier that has been created and paid for by a firm or collection of firms to discredit AWS I've seen some of the summary documents of that and that is being peddled around to journalists we have not been approached yet I'm not sure they will because we actually know the cloud what cloud computing is so I'm sure we could debunk it by just looking at it and what they were putting fors was interesting is this an eleventh-hour a desperation attempt because I have the Geo a report here that was issued under Oracle's change it says there are six conditions why we're looking at one sole cloud although it's not a it's a multiple bid it's not an exclusive to amazon but so there's reasons why and they list six service levels highly specialized check more favorable terms and conditions with a single award expected cause of administration of multiple contracts outweighs the benefits of multiple awards the projected orders are so intricately related that only a single contractor can reasonably be perform the work meaning that Amazon has the only cloud that can do that work now I've reported on the cube and it's looking angle that it's true there's things that other clouds just don't have anyone has private they have the secret the secret clouds the total estimated value of the contract is less than the simplified acquisition threshold or multiple awards would not be in the best interest this is from them this is a government report so it seems like there's a conspiracy against Amazon where you are upon and in in this game collect you feel that collateral damage song do you do you believe that to be true collateral damage okay well okay so now the the John Wheeler guys so investigate you've been an investigator so you mean you're not you know you're not a retired into this a retired investigator you're retired investigated worked on things with Nelson Mandela Kroll Janet Reno Attorney General you've vetted by the United States government you have credibility you have relationships with people who have have top-secret clearance all kinds of stuff but I mean do you have where people have top-secret clearance or or former people who had done well we have we have the privilege of of working with a very distinguished group of senior national security leaders as operating partisan c5 and many of them have retained their clearances and have been only been able to do so because c5 had to pass through a very deep vetting process so for you to be smeared like this you've been in an investigative has you work at a lot of people this is pretty obvious to you this is like a oh is it like a deep state conspiracy you feel it's one vendor - what is your take and what does collateral damage mean to you well I recently spoke at the mahkum conference on a session on digital warfare and one of the key points I made there was that there are two things that are absolutely critical for business leaders and technology leaders at this point in time one we have to clearly say that our countries are worth defending we can't walk away from our countries because the innovation that we are able to build and scale we're only able to do because we live in democracies and then free societies that are governed by the rule of law the second thing that I think is absolutely crucial for business leaders in the technology community is to accept that there must be a point where national interest overrides competition it must be a point where we say the benefit and the growth and the success of our country is more important to us than making commercial profits and therefore there's a reason for us either to cooperate or to cease competition or to compete in a different way what might takes a little bit more simple than that's a good explanation is I find these smear campaigns and fake news and I was just talking with Kara Swisher on Twitter just pinging back and forth you know either journalists are chasing Twitter and not really doing the original courting or they're being fed stories if this is truly a smear campaign as being fed by a paid dossier then that hurts people when families and that puts corporate interests over the right thing so I think I a personal issue with that that's fake news that's just disinformation but it's also putting corporate inches over over families and people so I just find that to be kind of really weird when you say collateral damage earlier what did you mean by that just part of the campaign you personally what's what's your view okay I think competition which is not focused on on performance and on innovation and on price points that's competition that's hugely destructive its destructive to the fabric of innovation its destructive of course to the reputation of the people who fall in the line of sight of this kind of competition but it's also hugely destructive to national interest Andrae one of the key stories here with the BBC which has holes in it is that the Amazon link which we just talked about but there's one that they bring up that seems to be core in all this and just the connections to Russia can you talk about your career over the career from whether you when you were younger to now your relationship with Russia why is this Russian angle seems to be why they bring into the Russia angle into it they seem to say that c-5 Cable has connections they call deep links personal links into Russia so to see what that so c5 is a venture capital firm have no links to Russia c5 has had one individual who is originally of Russian origin but it's been a longtime Swiss resident and you national as a co investor into a enterprise software company we invested in in 2015 in Europe we've since sold that company but this individual Vladimir Kuznetsov who's became the focus of the BBC's story was a co investor with us and the way in which we structure our investment structures is that everything is transparent so the investment vehicle for this investment was a London registered company which was on the records of Companies House not an offshore entity and when Vladimir came into this company as a co investor for compliance and regulatory purposes we asked him to make his investment through this vehicle which we controlled and which was subject to our compliance standards and completely transparent and in this way he made this investment now when we take on both investors and Co investors we do that subject to very extensive due diligence and we have a very robust and rigorous due diligence regime which in which our operating partners who are leaders of great experience play an important role in which we use outside due diligence firms to augment our own judgment and to make sure we have all the facts and finally we also compare notes with other financial institutions and peers and having done that with Vladimir Kuznetsov when he made this one investment with us we reached the conclusion that he was acting in his own right as an independent angel investor that his left renova many years ago as a career executive and that he was completely acceptable as an investor so that you think that the BBC is making an inaccurate Association the way they describe your relationship with Russia absolutely the the whole this whole issue of the provenance of capital has become of growing importance to the venture capital industry as you and I discussed earlier with many more different sources of capital coming out of places like China like Russia Saudi Arabia other parts of the world and therefore going back again to you the earlier point we discussed compliance and due diligence our critical success factors and we have every confidence in due diligence conclusions that we reached about vladimir quits net source co-investment with us in 2015 so I did some digging on c5 razor bidco this was the the portion of the company in reference to the article I need to get your your take on this and they want to get you on the record on this because it's you mentioned I've been a law above board with all the compliance no offshore entities this is a personal investment that he made Co investment into an entity you guys set up for the transparency and compliance is that true that's correct no side didn't see didn't discover this would my my children could have found this this this company was in a transparent way on the records in Companies House and and Vladimir's role and investment in it was completely on the on the public record all of this was subject to financial conduct authority regulation and anti money laundering and no your client standards and compliance so there was no great big discovery this was all transparent all out in the open and we felt very confident in our due diligence findings and so you feel very confident Oh issue there at all special purpose none whatsoever is it this is classic this is international finance yes sir so in the venture capital industry creating a special purpose vehicle for a particular investment is a standard practice in c-five we focus on structuring those special-purpose vehicles in the most transparent way possible and that was his money from probably from Russia and you co invested into this for this purpose of doing these kinds of deals with Russia well we just right this is kind of the purpose of that no no no this so in 2015 we invested into a European enterprise software company that's a strategic partner of Microsoft in Scandinavian country and we invested in amount of 16 million pounds about at the time just more than 20 million dollars and subsequent in August of that year that Amir Kuznetsov having retired for nova and some time ago in his own right as an angel investor came in as a minority invest alongside us into this investment but we wanted to be sure that his investment was on our control and subject to our compliance standards so we requested him to make his investment through our special purpose vehicle c5 raised a bit co this investment has since been realized it's been a great success and this business is going on to do great things and serve great clients it c5 taking russian money no see if I was not taking Russian money since since the onset of sanctions onboarding Russian money is just impossible sanctions have introduced complexity and have introduced regulatory risk related to Russian capital and so we've taken a decision that we will not and we can't onboard Russian capital and sanctions have also impacted my investigative career sanctions have also completely changed because what the US have done very effectively is to make sanctions a truly global regime and in which ever country are based it doesn't really matter you have to comply with US sanctions this is not optional for anybody on any sanctions regime including the most recent sanctions on Iran so if there are sanctions in place you can't touch it have you ever managed Russian oligarchs money or interests at any time I've never managed a Russian oligarchs money at any point in time I served for a period of a year honest on the board of a South African mining company in which Renova is a minority invest alongside an Australian company called South 32 and the reason why I did this was because of my support for African entrepreneurship this was one of the first black owned mining companies in South Africa that was established with a British investment in 2004 this business have just grown to be a tremendous success and so for a period of a year I offered to help them on the board and to support them as they as they looked at how they can grow and scale the business I have a couple more questions Gabe so I don't know if you wanna take a break you want to keep let's take a break okay let's take a quick break do a quick break I think that's great that's the meat of it great job by the way fantastic lady here thanks for answering those questions the next section I want to do is compliment

Published Date : Dec 16 2018

SUMMARY :

head of the NSA you know get to just

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Matt Leonard, CenturyLink & Phil Wood, EasyJet | AWS re:Invent 2018


 

>> Live from Las Vegas, it's theCUBE covering AWS re:Invent 2018, brought to you by Amazon Web Services, Intel, and their ecosystem partners. >> And welcome back to Las Vegas. We are live here at AWS re:Invent along with Justin Moore and I'm John Wallis. I know when you travel these days, all you want is, you want it to work, right? >> Yeah. >> We just want to get there. Well, I'll tell you what, Phil Wood from EasyJet wants you to get there as well. As does Matt Leonard from CenturyLink. Gentlemen, glad to have you with us. >> Thanks very much. >> We appreciate it. >> EasyJet, a European-based carrier just north of London, so we're talking about air travel. You are, as we've just recently learned, you are a Catalyst Award winner from CenturyLink, there's a reason for that and that's a point of distinction. So Matt, if you would maybe take us through a little bit about what EasyJet did to earn that distinction. >> Sure, the Catalyst Award is an award that we give out in combination with VMware to kind of highlight customers that are doing new and exciting things with regard to digital transformation. We've been a provider of services and a partner with EasyJet for a long time and they've done some really cool things with regard to services they provide their end customers. And we play a very very small part of that. Two exciting things that are my personal favorites with regard to EasyJet is the Look and Book service. So within the application if you want to book a new trip you normally have to type in the airport that you want to go to, and you have to figure out what's the name of the airport, or the three-digit code. With the EasyJet application you can upload a picture and it has intelligence that's used to figure out that picture and what that landmark is and then what the nearest airport is. So that's pretty exciting. And the second exciting thing within the application >> is a trip in one tap. So you can basically justdial in how much money you want to spend for a trip, hit the Go button, in literally one tap it'll recommend a city, a hotel, and a fun and exciting thing that's happening during that duration of time. So for last minute travelers, my family's certainly one of those, we got a free period of time, one tap it'll tell you where to stay, how to get there with EasyJet and then what's exciting happening within that city. >> So I could put in, I say, I want to spend 300 dollars a ticket, and tap boom, and it'll say you can go to Brussels, you can go to Amsterdam but you can't make it to Dublin this weekend, right? Or whatever. I love that. So what has that done for your business in terms of, on a micro level and a macro level, what's it doing in terms of that interface and what's it mean to your business in general? >> As a business, we're 23 years old, so we started very much like a startup and we kind of came in at low-cost airline bracket. But now what we're renowned for is the convenience, and you've got two examples there where our customers love that because it's a convenient way. They don't have to do lots of searching, they can just take the photograph and they know exactly where they're going to go. And that's really what differentiates us is that convenience and the customer experience that we offer to all of our customers. We have a lot of customers. We have 90 million passengers a year. They come to us because they know not just that we give great value but that experience. So what it's done, it's made us grow. And that's literally how we continue to grow is to expand those customer services and Centurylink have been a part of that journey for over half of our tenure as an airline. >> It sounds like technology is actually right on the edge of driving that value for customers and making things easy. Like just the experience of being able to walk out and take a photo of something and say, I want to go here. I would like to go out and see if I can trick it by taking a photo of the Eiffel Tower out in the back here. >> We'll go and try it out in a bit. >> I'm confident. >> We'll see how it goes. That's making use of a whole bunch of technologies. It's got mobile technology in there, it's got image recognition, it's got machine learning. What else are you seeing at the show here at AWS, what are some of the technologies that you think will drive the next evolution of things, what's going to win you the next award? >> I think one of the things I've really been looking at is around data and around the personalization. So we talked about customer experience but our whole journey of taking a plane, taking a holiday, for example, it's from the moment you book it to the moment you get back. There's so many touch points during that and there's so much data that we can take from that. So I've been really interested in looking at how different organizations and how Amazon have been using data. I also think you can't come to a show like this without looking at machine learning and AI. We're using aspects of that in how we analyze our data, but that's certainly something I think's going to change the airline industry moving forward. >> How important is a partnership with someone like CenturyLink in making sure that you get the best use of these technologies? >> Matt talked about that they have a small part to play but you've got to understand that every single customer, every single search on our website goes through a network. In order for us to connect to our customers, be they booking a flight, be they on a flight, we've got to go through a reliable network. And the way I describe it, it needs to be effortless. It needs to just work. You mentioned that right at the beginning. But I also think as well for us to exploit technologies like the cloud, which is what we're starting to invest a lot more into, we need a partner who can help us on that journey. So again, that's where CenturyLink and the partnership we've got has been absolutely crucial. The things that we're doing with CenturyLink around making sure that we're only paying for our network for what we use. We're an airline. Our airports are seasonal so kind of traditional networks, what you'll end up doing is paying for bandwidth all year, when in the winter seasons if you're not flying there that's dead money. So it's simple things like that but that makes a huge difference towards my cost base perspective. >> And time of day, I assume that affects that as well? >> Absolutely. I mean, clearly in our summer periods we fly a lot, so time of day during the summer, there's not that many hours we don't fly. >> You get a lot of daylight over there, right? (laughter) >> But certainly in winter where we have our kind of summer destinations, it makes a big big difference. And that's cost we pass on to the customer as well which is massively important. >> What is it about the customer that you don't know? You talked about AI, what that could do for you down the road. How much information, how much data do you think you can extract from the customer to make that experience even better, and what do you need to know about them, and how will CenturyLink help you get there? >> You need to know everything. I mean, we know that we sell a hundred seventy million bacon sandwiches a year. Whether that's useful or not, but we know that. >> There's hungry people. >> That's a lot of bacon. >> It is a lot. But it means that we know the type of food that our customers want to eat, we know the top destinations, even knowing how long between booking a flight and actually flying. So we know from a price perspective and from a making sure our planes are full or making sure we're not overselling our flights. All of that information, there's just a wealth of data that you're getting out there. And it's not just customers. One of the big factors for us is safety. So we use our data now to analyze maintenance. So we have predicted maintenance around when's the right time to put in spare parts but also what's the most efficient time so that we're not disrupting the customer. So actually we may want to bring a maintenance cycle sooner so we can open up more routes for customers to fly when they want to. So it's very hard to answer that question cause every day we're coming up with new ideas or new bits of information that at the time we never thought we needed to know but that actually turns out to be an absolutely crucial part of our offer. >> That's not an unusual thing for most people in a world where there's this much dynamic, this much change going on. So what process do you run through to figure out, where should we be looking to find out the next set of optimizations? Or how do you discover what is the next thing that you should work on, like where does the idea for, maybe we should build this app. Where does that come from? >> I don't think there's one model. I think what's always been at the heart of EasyJet is innovation, and we've always focused on the customer. So we have a great loyalty scheme and our customers are very loyal. We have 75% loyalty with our customers which is phenomenal. We get a lot of feedback and that feedback drives a lot of the ideas that we push forward. So I think it's a mixture of our passion, it's a mixture of our experience, but I'd say that feedback from the customer, that drives a lot of the ideas that we do moving forward. >> From the CenturyLink perspective, you received certification for the MSP designation. >> Yup. >> Working in the travel business, what does that do, or how does that MSP certification translate over to learning about a different industry, to applying different approaches, unique approaches, because it's not one size fits all. They have very, very specific challenges that you're trying to address. >> Yeah, so on a broader sense, our mission with clients like EasyJet and customers interested in the cloud is really to connect, migrate, and then manage their workloads within the cloud. That's really what we're focused on. And there's certainly commonalities within verticals but every customer's different, and really assessing, starting with the customer, and that's a common thing that I think both EasyJet as well as CenturyLink and certainly Amazon have in common, really focused on that customer journey. One of the approaches that we take through a program called CustomerLink is put the customer right in the center of the team and we've applied the Agile methodology to that customer engagement process. So we do a standup meeting once every two weeks, we do sprints once every two weeks. A lot of our customers are part of that board that we use to activate the sprint and to define priorities and what actions are. So really pulling the whole team together across different departments, focusing on the customer first, and in many cases the customer's customer first cause a lot of your priorities are based on what your customers are after, and really making sure that we're working on the right activity in a very lean way, pulling away as much waste as possible that aren't contributing to adding value to the customer journey. >> And then from your side of the fence going forward, you've mentioned four or five general areas, you've said, we could improve here, we could look at this, we could look at that. How do you prioritize and say, okay, let's focus here now and then we'll move on. So if you had to focus now, or for the next twelve months, what would that be on? >> So we've actually just relaunched our strategy. At the heart we are an airline so our priority is about being number one or number two in all the primary airports. We've got to keep that. But we also recognize from the data that the amount of our customers who will book hotels or book further products through some of our partners that's something that we can actually capitalize on. So we're looking more into holidays now. Taking that customer centricity, and how do we make the end-to-end journey for our customers so including travel to and from airport and the whole day. So that's a priority for us. Continue building our customer loyalty. So as much as we pride ourselves on loyalty, we believe there's a lot more you can do. I think the airline loyalty schemes need to be shaken up a little bit more. If you look in the retail sector or things like that they're focusing on different things. It's no longer just the case of air miles. People want speedier boarding, or they want a better experience, better seating arrangements. So we're looking at our loyalty. And then also business. We talk about, we've got really good slots for when we fly planes. And they're slots that are competitive to a business traveler. So that's our three main areas, I would say, are business, holidays, and loyalty. >> Matt, you're going to be in business for a while. I think you're okay. If you could work on legroom, I'm sold. Matt and Phil, thank you for being with us. We appreciate the time. Join us here on theCUBE. You're watching our live coverage from Las Vegas at AWS re:Invent. (electronic music)

Published Date : Nov 29 2018

SUMMARY :

brought to you by Amazon Web Services, Intel, I know when you travel these days, all you want is, Gentlemen, glad to have you with us. So Matt, if you would maybe take us through a little bit that we give out in combination with VMware So you can basically justdial in So what has that done for your business is that convenience and the customer experience Like just the experience of being able to that you think will drive the next evolution of things, and there's so much data that we can take from that. and the partnership we've got has been absolutely crucial. there's not that many hours we don't fly. And that's cost we pass on to the customer as well and what do you need to know about them, I mean, we know that we sell a hundred seventy million that at the time we never thought we needed to know So what process do you run through that drives a lot of the ideas that we do moving forward. you received certification for the MSP designation. Working in the travel business, One of the approaches that we take So if you had to focus now, or for the next twelve months, and how do we make the end-to-end journey for our customers Matt and Phil, thank you for being with us.

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Peter de Lange, Digital Angel & Mike Veldhuis, Nalta | Dell Boomi World 2018


 

>> Live from Las Vegas it's theCUBE covering Boomi World 2018. Brought to you by Dell Boomi. >> Good evening, welcome back to theCUBE. I'm Lisa Martin, live from Las Vegas at Boomi World '18. Been here all day talking with Dell Technology CEO, Michael Dell, to Dell Boomi execs, customers. We're joined by a couple of gentlemen now, one is a customer of Dell Boomi, that's Peter de Lange, from Digital Angel, the CEO and co-founder, welcome, and Mike Veldhuis, co-founder of Nalta, which is their transformation partner. Guys, thanks so much for joining me on theCUBE this afternoon. >> You're welcome. >> You're welcome. >> So, I first saw you this morning on stage, saw you accepting your award. This was Dell Boomi's first time honoring and recognizing customers so congratulations on being the winner of the Emerging Technology Award, but let's start by just giving our viewers an idea of, we'll start Mike, with you, Nalta, as a Boomi partner. >> Yup. >> Tell us a little bit about Nalta. What do you guys do, what makes you unique, where are you based? >> Well, first of all, we are from Holland. You know, so, for us it's great to be in Vegas, great to be in the U.S. and tell our story over here. We started in the Netherlands, in 2000. We're not a very big company compared to many large U.S. companies. We're a team of 60 people, and we started as an infrastructure company in 2000, already a Dell partner and we had a software department as well as software company and what's so cool about I.O.T. and the stuff we build nowadays is that we combine those two disciplines integrate I.T. platforms like we did for Digital Angel. >> So let's talk about Digital Angel. Thank you, Mike. First of all, I love the name, there's a lot of significance to that. We talked about award winner for Dell Boomi. Tell us a little bit about Digital Angel. What was the genesis of creating it not so long ago? >> Well, um, first thing was, if you're looking at what's happening in healthcare, one thing that's really important is getting qualified caregivers, because there's a big shortage on that. Next to that, if you look at the development of the baby boomers, the older or the seniors are, the group is growing, and on the other hand, the caregivers are less available. So how can we match that? So we need new technology. The first question was, or the main question, can we connect smart healthcare products to the internet? And maybe with those products we can help the healthcare sector. >> Give me an example of some of those products that you're talking about. >> The first product we have connected to our platform is a smart mattress. >> A smart mattress? >> Yeah, it's embedded with light sensors and it measures, for example, the way a person lies on a mattress, but it also measures the heartbeats, breathing rates, all those data variables. >> Wow. That's pretty cool, smart mattress. So, you had this idea, really kind of nothing in the Netherlands, or even here in the U.S. at the time, but healthcare is one of those industries that obviously, we're talking about life or death situations. There are so many devices that are not connected, and people can lose their lives as a result. So, walk us through this concept of a smart mattress and how you're working with manufacturers to build that and then we'll get to how you're working on transforming with Nalta. >> Yeah, no problem. Well, starting off from the question, can we connect, yes we can. Next of the factors is we need a platform to land all the data in. We need customers like manufacturers because they must produce products that are able to generate data. So the first one was the mattress, the next one is a bed, a wheelchair, so we already have several products live within approx situation. That's where we got off, yeah. >> So Mike, talk to us about when you first started engaging with Digital Angel. A presumably unique opportunity to really transform an industry, save lives, talk to us a little bit about when you guys got together to really take this idea and really help it grow and help transform an industry. >> First of all, for us, it's wonderful to work on such a huge case. Like you said, you're potentially saving lives and I.T., sometimes, is so I.T.-ish. You're talking about technology, tools, applications, technicians, engineers, it's all in that I.T. level, and that's perfectly fine. They're solving problems and challenges. But, talking about a business case or business itself is so energizing because you can actually tap into a customer's needs and help them find solutions for the challenges they have. And in this case, we are talking about I.O.T., internet of things, which is a little vague. Digital transformation is even vaguer. >> Right. >> So when Digital Angel approached us with this, on first sight, very simple need, we want to connect a mattress or a device to a platform to present the data and the insights of this device to the end customer in favor of the patient, it's our job to start questions, questioning, and listen and put it on paper, write user stories, get a clear picture of what the actual need is. Then from that, we build our first project and our first product, and eventually the first platform. That became the Digital Angel platform itself. >> And you've done this in a very short period of time. >> True. >> Uh, yeah. I think the, >> Eight months? >> No, no, no. It was faster. The first version was within seven months. >> Wow. Seven months. >> Yeah, and that's the beauty of if you can cooperate with people with knowledge like Nalta in a partnership, but also the availability of components like Dell Boomi. >> Yeah. >> So you can fasten up the process to create new things and that's really important to get much further and get things done. >> So let's unpack that a little bit more. Dell Boomi's platform as kind of a fueler, maybe some power to your platform? >> Mhmm. >> Talk to us about the integration, how you're using it specifically and what some of the new things that they announced this week, how does that excite you about being able to grow your business? >> Well, the thing is, and that's what Mike explained, is listen to the needs. So, we have needs as a company, Digital Angel, next to the fact that patients also have needs. How can we translate that into technology? So, the question we asked Mike, or Nalta, we must have a platform that is able to be completely flexible, so that's the basic, it must be able to do the analytics, if necessary. There's a long list of things we have to have within the platform and then, it's Nalta who is answering that question. >> Yeah, we translate it into a Boomi solution. And I think what's innovative, we just came out of a breakout session and one of the questions we got we were telling the Digital Angel Story and our story, how we work with customers, where does Boomi fit in? Does it come at last, what is the reason you put Boomi into the solution, just for moving data from point A to point B? The answer to that is that we have Boomi at the core of the design itself, so we start with Boomi, it's not an afterthought, it's not that we have a solution an application and now all of a sudden we have to tie it into a different ecosystem. We start with Boomi, and that's very powerful because we have all the time and flexibility to choose the best of great solutions around this Boomi solution, and that's what we've done. >> So, looking at this unique opportunity, to be able to transform average, everyday hospital products into smart devices that can actually influence the pace of care, the treatment of care, innovation. That's pretty remarkable. I'd love to understand, Peter, from your perspective, what are some of the actual results that you're starting to see maybe in the Netherlands. >> Yeah. >> You mentioned, I think before we went live that you're starting to come over here. Give us some of those tangible nuggets that you're like, this is why we're doing this, this is why we're helping these organizations connect. >> By having the platform and connecting all of those products, you have to know several things. When you are visiting healthcare institutes, one of the things is, we are using networks on 165 apps already, so we need another one. We already use I.T. related products, so, I'm busy with a patient and I have to scribe from one app to the other to get my information, but the thing I see is single information, because I can see the blood-pressure or the heartbeat or something like that. So if it's possible, can we combine that? So in the back end we can combine all the data of the different products and it enables us not only in the background, but also on the front end to have one user interface, so we don't need all the 165 apps. So we are creating time. >> Creating time? >> Yeah. >> Interesting. >> That's really interesting, and with that time, as a caregiver, because we know there's a shortage on caregivers, the right care at the right moment, to the right person can be given, and that's one of the goals we have and can already see as a result. We can also calculate saving, but the most important thing for us as the company, we want to improve the quality of life and not so much talk about savings. One of them is, the first digital product we've created, based on the data, saves 6000 dollars a year, for one digital product, for one patient. So that's in numbers. That's results. That's real, real results. >> I've never heard anybody talk about a business outcome as creating time. (laughter) >> But, in healthcare, we've talked about that a number of times, it's essential. So, last question, Peter, for you. You've mentioned expanding to the U.S., because of the things I find shocking in 2018 almost 2019 is you have a loved one who is in the hospital and there are so many people that come in to do rounds and they all have devices and nothing is connected. How are you going to help us in the U.S. to resolve that problem with Digital Angel? >> I can answer that with another example. One of the things was, if we are able to see how a person lies on his bed, and the care institute has a protocol, and the protocol says, you have to turn these patients each and every three hours, what we did know in total 30 to 50 percent of the people turn around themselves during the night. So you don't have to turn them. >> Interesting. >> Even if you turn them, the chance of example, pressure sores, is much higher. >> Really? >> Yeah. 30 to 50 percent. >> Wow. All of this by evaluating data. Well, gentlemen, I wish we had more time it's such an interesting use-case. Peter, congratulations on the award, Mike you as well. >> Thank you very much >> Thanks so much for stopping by theCUBE and talking to us about how you guys are helping to transform an industry. >> Thank you very much, for the opportunity >> Thank you. >> We want to thank you for watching theCUBE, I'm Lisa Martin. Stick around John Ferger and I will be back with our show wrap in just a short minute. (upbeat music)

Published Date : Nov 7 2018

SUMMARY :

Brought to you by Dell Boomi. de Lange, from Digital Angel, the CEO and of the Emerging Technology Award, but What do you guys do, what makes you about I.O.T. and the stuff we build nowadays is First of all, I love the name, there's of the baby boomers, the older or of those products that you're talking about. The first product we have connected it measures, for example, the way a person here in the U.S. at the time, but Next of the factors is we need a So Mike, talk to us about And in this case, we are talking about favor of the patient, it's our job And you've done this in a very I think the, The first Yeah, and that's the beauty of really important to get much further maybe some power to your platform? So, the question we asked Mike, or Nalta, the time and flexibility to choose some of the actual results that you're You mentioned, I think before we went live So in the back end we can combine all the data the goals we have and can already a business outcome as creating time. the U.S. to resolve that problem One of the things was, if we are able Even if you turn them, the chance Peter, congratulations on the award, Mike you as well. and talking to us about how you guys are We want to thank you for watching

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Jim Franklin & Anant Chintamaneni | theCUBE NYC 2018


 

>> Live from New York. It's theCUBE. Covering theCUBE New York City, 2018. Brought to you by SiliconANGLE Media, and it's ecosystem partners. >> I'm John Furrier with Peter Burris, our next two guests are Jim Franklin with Dell EMC Director of Product Management Anant Chintamaneni, who is the Vice President of Products at BlueData. Welcome to theCUBE, good to see you. >> Thanks, John. >> Thank you. >> Thanks for coming on. >> I've been following BlueData since the founding. Great company, and the founders are great. Great teams, so thanks for coming on and sharing what's going on, I appreciate it. >> It's a pleasure, thanks for the opportunity. >> So Jim, talk about the Dell relationship with BlueData. What are you guys doing? You have the Dell-ready solutions. How is that related now, because you've seen this industry with us over the years morph. It's really now about, the set-up days are over, it's about proof points. >> That's right. >> AI and machine learning are driving the signal, which is saying, 'We need results'. There's action on the developer's side, there's action on the deployment, people want ROI, that's the main focus. >> That's right. That's right, and we've seen this journey happen from the new batch processing days, and we're seeing that customer base mature and come along, so the reason why we partnered with BlueData is, you have to have those softwares, you have to have the contenders. They have to have the algorithms, and things like that, in order to make this real. So it's been a great partnership with BlueData, it's dated back actually a little farther back than some may realize, all the way to 2015, believe it or not, when we used to incorporate BlueData with Isilon. So it's been actually a pretty positive partnership. >> Now we've talked with you guys in the past, you guys were on the cutting edge, this was back when Docker containers were fashionable, but now containers have become so proliferated out there, it's not just Docker, containerization has been the wave. Now, Kubernetes on top of it is really bringing in the orchestration. This is really making the storage and the network so much more valuable with workloads, whether respective workloads, and AI is a part of that. How do you guys navigate those waters now? What's the BlueData update, how are you guys taking advantage of that big wave? >> I think, great observation, re-embrace Docker containers, even before actually Docker was even formed as a company by that time, and Kubernetes was just getting launched, so we saw the value of Docker containers very early on, in terms of being able to obviously provide the agility, elasticity, but also, from a packaging of applications perspective, as we all know it's a very dynamic environment, and today, I think we are very happy to know that, with Kubernetes being a household name now, especially a tech company, so the way we're navigating this is, we have a turnkey product, which has containerization, and then now we are taking our value proposition of big data and AI and lifecycle management and bringing it to Kubernetes with an open source project that we launched called Cube Director under our umbrella. So, we're all about bringing stateful applications like Hadoop, AI, ML to the community and to our customer base, which is some of the largest financial services in health care customers. >> So the container revolution has certainly groped developers, and developers have always had a history of chasing after the next cool technology, and for good reason, it's not like just chasing after... Developers tend not to just chase after the shiny thing, they chased after the most productive thing, and they start using it, and they start learning about it, and they make themselves valuable, and they build more valuable applications as a result. But there's this interesting meshing of creators, makers, in the software world, between the development community and the data science community. How are data scientists, who you must be spending a fair amount of time with, starting to adopt containers, what are they looking at? Are they even aware of this, as you try to help these communities come together? >> We absolutely talk to the data scientists and they're the drivers of determining what applications they want to consume for the different news cases. But, at the end of the day, the person who has to deliver these applications, you know data scientists care about time to value, getting the environment quickly all prepared so they can access the right data sets. So, in many ways, most of our customers, many of them are unaware that there's actually containers under the hood. >> So this is the data scientists. >> The data scientists, but the actual administrators and the system administrators were making these tools available, are using containers as a way to accelerate the way they package the software, which has a whole bunch of dependent libraries, and there's a lot of complexity our there. So they're simplifying all that and providing the environment as quickly as possible. >> And in so doing, making sure that whatever workloads are put together, can scaled, can be combined differently and recombined differently, based on requirements of the data scientists. So the data scientist sees the tool... >> Yeah. >> The tool is manifest as, in concert with some of these new container related technologies, and then the whole CICD process supports the data scientist >> The other thing to think about though, is that this also allows freedom of choice, and we were discussing off camera before, these developers want to pick out what they want to pick out what they want to work with, they don't want to have to be locked in. So with containers, you can also speed that deployment but give them freedom to choose the tools that make them best productive. That'll make them much happier, and probably much more efficient. >> So there's a separation under the data science tools, and the developer tools, but they end up all supporting the same basic objective. So how does the infrastructure play in this, because the challenge of big data for the last five years as John and I both know, is that a lot of people conflated. The outcome of data science, the outcome of big data, with the process of standing up clusters, and lining up Hadoop, and if they failed on the infrastructure, they said it was a failure overall. So how you making the infrastructure really simple, and line up with this time of value? >> Well, the reality is, we all need food and water. IT still needs server and storage in order to work. But at the end of the day, the abstraction has to be there just like VMware in the early days, clouds, containers with BlueData is just another way to create a layer of abstraction. But this one is in the context of what the data scientist is trying to get done, and that's the key to why we partnered with BlueData and why we delivered big data as a service. >> So at that point, what's the update from Dell EMC and Dell, in particular, Analytics? Obviously you guys work with a lot of customers, have challenges, how are you solving those problems? What are those problems? Because we know there's some AI rumors, big Dell event coming up, there's rumors of a lot of AI involved, I'm speculating there's going to be probably a new kind of hardware device and software. What's the state of the analytics today? >> I think a lot of the customers we talked about, they were born in that batch processing, that Hadoop space we just talked about. I think they largely got that right, they've largely got that figured out, but now we're seeing proliferation of AI tools, proliferation of sandbox environments, and you're psyched to see a little bit of silo behavior happening, so what we're trying to do is that IT shop is trying to dispatch those environments, dispatch with some speed, with some agility. They want to have it at the right economic model as well, so we're trying to strike a better balance, say 'Hey, I've invested in all this infrastructure already, I need to modernize it, and that I also need to offer it up in a way that data scientists can consume it'. Oh, by the way, we're starting to see them start to hire more and more of these data scientists. Well, you don't want your data scientists, this very expensive, intelligent resource, sitting there doing data mining, data cleansing, detail offloads, we want them actually doing modeling and analytics. So we find that a lot of times right now as you're doing an operational change, the operational mindset as you're starting to hire these very expensive people to do this very good work, at the corest of the data, but they need to get productive in the way that you hired them to be productive. >> So what is this ready solution, can you just explain what that is? Is it a program, is it a hardware, is it a solution? What is the ready solution? >> Generally speaking, what we do as a division is we look for value workloads, just generally speaking, not necessarily in batch processing, or AI, or applications, and we try and create an environment that solves that customer challenge, typically they're very complex, SAP, Oracle Database, it's AI, my goodness. Very difficult. >> Variety of tools, using hives, no sequel, all this stuff's going on. >> Cassandra, you've got Tensorflow, so we try fit together a set of knowledge experts, that's the key, the intellectual property of our engineers, and their deep knowledge expertise in a certain area. So for AI, we have a sight of them back at the shop, they're in the lab, and this is what they do, and they're serving up these models, they're putting data through its paces, they're doing the work of a data scientist. They are data scientists. >> And so this is where BlueData comes in. You guys are part of this abstraction layer in the ready solutions. Offering? Is that how it works? >> Yeah, we are the software that enables the self-service experience, the multitenancy, that the consumers of the ready solution would want in terms of being able to onboard multiple different groups of users, lines of business, so you could have a user that wants to run basic spark, cluster, spark jobs, or you could have another user group that's using Tensorflow, or accelerated by a special type of CPU or GPU, and so you can have them all on the same infrastructure. >> One of the things Peter and I were talking about, Dave Vellante, who was here, he's at another event right now getting some content but, one of the things we observed was, we saw this awhile ago so it's not new to us but certainly we're seeing the impact at this event. Hadoop World, there's now called Strata Data NYC, is that we hear words like Kubernetes, and Multi Cloud, and Istio for the first time. At this event. This is the impact of the Cloud. The Cloud has essentially leveled the Hadoop World, certainly there's some Hadoop activity going on there, people have clusters, there's standing up infrastructure for analytical infrastructures that do analytics, obviously AI drives that, but now you have the Cloud being a power base. Changing that analytics infrastructure. How has it impacted you guys? BlueData, how are you guys impacted by the Cloud? Tailwind for you guys? Helpful? Good? >> You described it well, it is a tailwind. This space is about the data, not where the data lives necessarily, but the robustness of the data. So whether that's in the Cloud, whether that's on Premise, whether that's on Premise in your own private Cloud, I think anywhere where there's data that can be gathered, modeled, and new insights being pulled out of, this is wonderful, so as we ditched data, whether it's born in the Cloud or born on Premise, this is actually an accelerant to the solutions that we built together. >> As BlueData, we're all in on the Cloud, we support all the three major Cloud providers that was the big announcement that we made this week, we're generally available for AWS, GCP, and Azure, and, in particular, we start with customers who weren't born in the Cloud, so we're talking about some of the large financial services >> We had Barclays UK here who we nominated, they won the Cloud Era Data Impact Award, and what they're actually going through right now, is they started on Prem, they have these really packaged certified technology stacks, whether they are Cloud Era Hadoop, whether they are Anaconda for data science, and what they're trying to do right now is, they're obviously getting value from that on Premise with BlueData, and now they want to leverage the Cloud. They want to be able to extend into the Cloud. So, we as a company have made our product a hybrid Cloud-ready platform, so it can span on Prem as well as multiple Clouds, and you have the ability to move the workloads from one to the other, depending on data gravity, SLA considerations. >> Compliancy. >> I think it's one more thing, I want to test this with you guys, John, and that is, analytics is, I don't want to call it inert, or passive, but analytics has always been about getting the right data to human beings so they can make decisions, and now we're seeing, because of AI, the distinction that we draw between analytics and AI is, AI is about taking action on the data, it's about having a consequential action, as a result of the data, so in many respects, NCL, Kubernetes, a lot of these are not only do some interesting things for the infrastructure associated with big data, but they also facilitate the incorporation of new causes of applications, that act on behalf of the brand. >> Here's the other thing I'll add to it, there's a time element here. It used to be we were passive, and it was in the past, and you're trying to project forward, that's no longer the case. You can do it right now. Exactly. >> In many respects, the history of the computing industry can be drawn in this way, you focused on the past, and then with spreadsheets in the 80s and personal computing, you focused on getting everybody to agree on the future, and now, it's about getting action to happen right now. >> At the moment it happens. >> And that's why there's so much action. We're passed the set-up phase, and I think this is why we're hearing, seeing machine learning being so popular because it's like, people want to take action there's a demand, that's a signal that it's time to show where the ROI is and get action done. Clearly we see that. >> We're capitalists, right? We're all trying to figure out how to make money in these spaces. >> Certainly there's a lot of movement, and Cloud has proven that spinning up an instance concept has been a great thing, and certainly analytics. It's okay to have these workloads, but how do you tie it together? So, I want to ask you, because you guys have been involved in containers, Cloud has certainly been a tailwind, we agree with you 100 percent on that. What is the relevance of Kubernetes and Istio? You're starting to see these new trends. Kubernetes, Istio, Cupflow. Higher level microservices with all kinds of stateful and stateless dynamics. I call it API 2.0, it's a whole other generation of abstractions that are going on, that are creating some goodness for people. What is the impact, in your opinion, of Kubernetes and this new revolution? >> I think the impact of Kubernetes is, I just gave a talk here yesterday, called Hadoop-la About Kubernetes. We were thinking very deeply about this. We're thinking deeply about this. So I think Kubernetes, if you look at the genesis, it's all about stateless applications, and I think as new applications are being written folks are thinking about writing them in a manner that are decomposed, stateless, microservices, things like Cupflow. When you write it like that, Kubernetes fits in very well, and you get all the benefits of auto-scaling, and so control a pattern, and ultimately Kubernetes is this finite state machine-type model where you describe what the state should be, and it will work and crank towards making it towards that state. I think it's a little bit harder for stateful applications, and I think that's where we believe that the Kubernetes community has to do a lot more work, and folks like BlueData are going to contribute to that work which is, how do you bring stateful applications like Hadoop where there's a lot of interdependent services, they're not necessarily microservices, they're actually almost close to monolithic applications. So I think new applications, new AI ML tooling that's going to come out, they're going to be very conscious of how they're running in a Cloud world today that folks weren't aware of seven or eight years ago, so it's really going to make a huge difference. And I think things like Istio are going to make a huge difference because you can start in the cloud and maybe now expand on to Prem. So there's going to be some interesting dynamics. >> Without hopping management frameworks, absolutely. >> And this is really critical, you just nailed it. Stateful is where ML will shine, if you can then cross the chasma to the on Premise where the workloads can have state sharing. >> Right. >> Scales beautifully. It's a whole other level. >> Right. You're going to the data into the action, or the activity, you're going to have to move the processing to the data, and you want to have nonetheless, a common, seamless management development framework so that you have the choices about where you do those things. >> Absolutely. >> Great stuff. We can do a whole Cube segment just on that. We love talking about these new dynamics going on. We'll see you in CF CupCon coming up in Seattle. Great to have you guys on. Thanks, and congratulations on the relationship between BlueData and Dell EMC and Ready Solutions. This is Cube, with the Ready Solutions here. New York City, talking about big data and the impact, the future of AI, all things stateful, stateless, Cloud and all. It's theCUBE bringing you all the action. Stay with us for more after this short break.

Published Date : Sep 13 2018

SUMMARY :

Brought to you by SiliconANGLE Media, Welcome to theCUBE, good to see you. Great company, and the founders are great. So Jim, talk about the Dell relationship with BlueData. AI and machine learning are driving the signal, so the reason why we partnered with BlueData is, What's the BlueData update, how are you guys and bringing it to Kubernetes with an open source project and the data science community. But, at the end of the day, the person who has to deliver and the system administrators So the data scientist sees the tool... So with containers, you can also speed that deployment So how does the infrastructure play in this, But at the end of the day, the abstraction has to be there What's the state of the analytics today? in the way that you hired them to be productive. and we try and create an environment that all this stuff's going on. that's the key, the intellectual property of our engineers, in the ready solutions. and so you can have them all on the same infrastructure. Kubernetes, and Multi Cloud, and Istio for the first time. but the robustness of the data. and you have the ability to move the workloads I want to test this with you guys, John, Here's the other thing I'll add to it, and personal computing, you focused on getting everybody to We're passed the set-up phase, and I think this is why how to make money in these spaces. we agree with you 100 percent on that. the Kubernetes community has to do a lot more work, And this is really critical, you just nailed it. It's a whole other level. so that you have the choices and the impact, the future of AI,

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Alex Solomon, PagerDuty | PagerDuty Summit 2018


 

>> From Union Square in downtown San Francisco, it's theCUBE, covering Pager Duty Summit '18. Now, here's Jeff Frick. >> Hey welcome back here everybody, Jeff Frick here with theCUBE. We're at Pager Duty Summit 2018, at the Weston St. Francis, Union Square in San Francisco. It's a beautiful day outside, a really historic building, and we're happy to be here for our second Pager Duty Summit, and our next guest, super excited to have him, we didn't have him last year. He's Alex Solomon, the Co-Founder and CTO of Pager Duty, Alex, great to see you. >> Yeah, thanks for having me. >> Absolutely, so we were just talking a little bit. Before we turned the cameras on, you started this little adventure in '09, so it's been nine years. So what, I'd just love to get your perspective, as you come to something like this, and look at all these people that are here, to see what started as just a germ of an idea, back in your head nine years ago. >> Yeah, it's exciting to see such an amazing conference. We have over 800 people here today, and it's definitely buzzing. I could feel the excitement in the air. >> Right, well Ray Kurzweil is the Keynote, that's getting right up there. >> Exactly. >> Really an amazing story. One of the things that was, that was key to Ray's topic was the accelerating technology curve, in terms of power and performance, and it's not linear, it accelerates, and you guys have seen a huge growth in your business, and your throughput and all the incidents that you're reporting, and now we're talking about BI, and using Machine Learning and Artificial Intelligence to make some sense and to help filter through all this phenomenal amount of throughput. So how are you, how do you see that opportunity, how are you guys grasping the opportunity? What are you going to do with that Machine Learning? >> Sure, so about three months ago, we launched our new Event Intelligence product, which is all about capturing the, all the signals coming out of all of your different tools, things like monitoring tools. Things like ticketing systems, collaboration tools like Slack, and processing all those signals, mostly events and alerts and filtering out the noise. So a lot of alerts and events are not necessarily relevant for someone to get paged about in the middle of the night. Maybe it's a false alert, maybe it's something that has gone up, and will fix itself. >> Right. >> So it's about filtering out all the noise in there, and it's also about automatically clustering, and correlating related events. So we take those events in, and then we group them together into incidents, and we determine the surface area of the problem, which systems are affected, and we page those people, and only those people, so that they can respond to the incident. >> Right. So do you leverage the total learning of the Pager Duty System, in kind of an anonymized way, so you can leverage the multi-billions of dollars worth of incidents to get that type of learning, that was one of Ray's key themes, it helps if you have a billion of something, if you want to start applying some of these Machine Learning techniques. >> Exactly, so the more data you have when you're applying AI and ML, the better the results will be. We have over nine years of data that we've accumulated since founding the company, and we leveraged that for (mumbles) conditions, so for, I'll give you an example. If you're looking at an incident, you just got paged for something, or multiple people got paged, and you're looking at an evolving situation, our algorithms will automatically look in the past, and see has this type of problem happened before? Have you seen this type of incident before? Have you seen these events come in before, that are similar to this and, if so, what happened last time? >> Right. >> Who solved it, what was the resolution, so you can apply that knowledge, to the problem, and resolve it much faster. >> Right. So is it? So you do it both within the existing company, and their ecosystem so yeah, Joe solved it last time, Suzie solved it the time before, as well as to get more of an aggregate, of kind of an anonymized of we see this pattern over and over and over, this might be what you're looking at. >> Yeah, and we haven't done the aggregate picture yet, but it's something that we're very excited about, because we have the potential to become kind of like the Internet weather, where we can tell, based on the number of customers that we have, problems with the Internet, such as, let's say one of the Public Cloud providers is having an issue. Well, they have lots of customers that are Pager Duty customers, and they can now see oh, we have, we're seeing all of this additional incident activity, in this part of the Internet. >> Right. So there's something going on. >> Right. >> And we can start, this is an opportunity that we're very excited about, start telling, being able to tell, oh there's a problem with one of the Cloud providers, there's a problem with one of the main, big infrastructure providers that is commonly used by a lot of different companies. >> Right, because so many of these systems now, are so interdependent. You've got all these APIs, from all these different applications, all these different Cloud providers, and the whole thing stitched together so, trying to figure out where that little, the glitch is, is not necessarily as easy as when you kind of controlled everything. >> Exactly. >> It's funny too, because Jen had a line from her Keynote, which you just triggered. She said, "You know, we're the ones that want to be up, "when the rest of the world seems down." >> Yeah, exactly. >> So, let me expand on that a little bit. So you were the Founder. Jennifer came in a couple years ago, if I recall. I'm sure everyone who loves the classic entrepreneur tale, who liked to watch the show. You founded it, you got it to a certain point, and at some point you decided, you're going to bring in a new CEO. Wonder if you can talk a little bit about how that process went down. Kind of your thoughts as a Founder, of making that transition to see your company go, from this stage to that stage. >> Sure, sure, so yeah, I was the Founding CEO. I built, well me, not just by myself, but with my two Co-founders, and with the great team that we hired, we built the company from zero to over fifty million in annual recurring revenue. The company, when we decided to make that transition, I got into about 200 people or so. So a pretty good scale starting from nothing. >> Yeah, and to a fifty million run right, that's good. >> Yeah, and I'm a first-time entrepreneur, so I haven't done this before, and at that point we had a lot of work to do on the product side of things, like a lot of exciting new things, such as Event Intelligence that we just launched earlier this year, and other products are on Analytics and Visibility, that we're announcing here today. But I found myself spending a lot of my time, inside the building hiring and managing, and I didn't get enough of an opportunity to talk to customers and think about product, and think about the vision, what should we be building next? >> Right, right. >> So I wanted to go and focus more of my time in that direction. I initially started by thinking, maybe I can hire a CEOO, like a Chief Operating Officer to run Sales/Marketing and I can focus on Product and Engineering. Did a lot of due diligence, and talking to other CEOs who had been there, and done that, and realized that while that may solve some problems, it introduces new ones, and that the best bet is to find a World Class CEO. Like the best people out there in the world, are going to command that title, and they're going to want that role. >> Right. >> And I could still get to focus on product, and on talking to customers, and on vision, by replacing myself and taking on a CTO role, so that's what I ultimately decided to do. Had lots of help from the Board, who was very supportive in this decision, and they helped a lot with the interview process for, and the screening process for finding Jennifer. >> Well, you did good. We've known Jennifer for a long time, so I think that was one of your better hires. >> Absolutely. >> In the long history of the company. >> My best hire. Your best hire, very good. Well, and again, congratulations, it's funny you know, you see it over and over right? Overnight successes that are 10 years in the making. You know clearly, your last round of funding was a huge validation on your guy's strategy, and where you're taking the company, and then I just want to call out too, you guys were chosen for the Ernst & Young Co-founder, wait, hold on, the Entrepreneur of the Year Award 2018. Which is funny because you always think of that as maybe a little company just getting started right, or a really early entrepreneur. But you guys have been at this for nine years. Again, really good validation as to where you are in the market, and people realizing the value that you guys are delivering, so congratulations on that. >> Thank you very much. >> Alright Alex, well thanks for taking a few minutes from I'm sure, a very busy couple of days, and it was great to meet you. >> Absolutely, thanks for having me on the show. >> Alright, he's Alex, I'm Jeff. We're at Pager Duty Summit 2018, thanks for watching. (bright music)

Published Date : Sep 11 2018

SUMMARY :

it's theCUBE, and our next guest, super excited to have him, and look at all these people that are here, and it's definitely buzzing. Right, well Ray Kurzweil is the Keynote, and you guys have seen a huge growth in your business, and will fix itself. and we determine the surface area of the problem, so you can leverage the multi-billions of dollars Exactly, so the more data you have so you can apply that knowledge, So you do it both within the existing company, Yeah, and we haven't done the aggregate picture yet, So there's something going on. being able to tell, oh there's a problem and the whole thing stitched together so, which you just triggered. and at some point you decided, and with the great team that we hired, and at that point we had a lot of work to do and that the best bet is to find a World Class CEO. and on talking to customers, and on vision, Well, you did good. Well, and again, congratulations, it's funny you know, and it was great to meet you. We're at Pager Duty Summit 2018,

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Chris Hallenbeck, SAP | SAP SAPPHIRE NOW 2018


 

(techno music) >> From Orlando, Florida, it's The Cube. Covering SAP Sapphire Now 2018. Brought to you by NetApp. >> Welcome to The Cube. I'm Lisa Martin with Keith Townsend and we are at SAP Sapphire Now 2018 in Orlando. This is a massive event. Not only are there 20,000 people here but there's about a million engaging with SAP this week online. Amazing! We're joined by a Cube alumni. Welcome back to The Cube >> Thank you Lisa. Chris Hallenbeck. You are the SVP of Database and Data Management at SAP. >> What they tell me. (laughter) >> That's what they tell you. That's what your cards say? >> It is. >> Alright. Well, thanks for coming onto The Cube. So this event is enormous. Sixteen American football fields is this space. You really can close your rings. >> Well, and it is, is the energy is just crazy. It's actually different than other years. I don't know why but it really it is. >> You know yesterday, that's what Keith and I were saying yesterday. Bill McDermott really kicked things off with such enthusiasm and genuine energy. It was really amazing to see that. You don't see that with a lot of, see levels on day one. That energy was really palpable as was. >> Enterprise applications aren't that sexy huh? (crosstalk) >> Apparently they are. >> Well, apparently they are now. >> Who knew? >> Well, and that's the thing too. You guys wanting to be one of the top ten most valuable brands in the world. Up there with Apple, Google. And one of the cool things I saw yesterday on a bus out here was ERP that you can talk to and hear from. So taking this, what was an invisible product and making it now something that people can engage with like a digital assistant at home. Remarkable. >> Well, yeah. No. The user interface which has been a huge, huge thing. We have these massive UX labs throughout the world. We have ones in Palo Alto. We have ones throughout Germany and other locations. And we've been really looking at how people engage with the software. And it's not only through a screen although that's it and we win all these Red Dot awards, the Preeminent Design Award. We get those consistently now, many a year, for the work we're doing within UI which is fabulous work. But we're also again, a lot of people aren't in front of computers anymore. So how can I actually just speak into my phone and get all the information I need? How can I have the device speak to me? How can somebody wearing gloves on an assembly line, automatically they vibrate if they're reaching for the wrong bin and would have grabbed the wrong part which create a faulty defective product. So it's all built in, our actually shoes vibrating if something else happens. And so actually this interaction of sensors in two way, taking IOT data in, and then also feeding it back into signals but that's part of the interface of the software. It's not always sitting in a screen and if you are in front of a screen, they're actually pretty great to use. >> So speaking of these consumer technologies, we've had this expectation and these technologies have changed the expectations of what our business tech is. We expect to be able to do things such as, hey, say what's the latest score from last night's game. And now there's these intelligent streams of having conversations with computers. All that is powered by the data on the backend. SAP traditionally hadn't been. We talked about it on stage this morning. SAP hadn't been known for the type of company to sub at to the real-time data entry, real-time data analytics. >> Yeah. You're all about data management. We heard something on the stage this morning. What was it? Data management suite? (crosstalk) The mature database now. (crosstalk) What is that? What's that about? >> Well, now what we're finding, you know, HANA enabled these incredible use cases and originally we were all, we actually didn't run underneath SAP applications an entire database but really a data platform that people were doing these incredible innovations on. And then of course it really started to get swept underneath and it went under BW and then it became part of Sweden HANA and everyone just focused said, oh yeah, HANA is just gonna be like Netweaver. It's just a system that runs underneath SAP and we kept saying no, it's not, no, it's not. And it was sort of but that was its main, that was where it was mostly getting deployed. And then what you're actually seeing here at Sapphire is this massive breakout of technology in full use use cases. That people are using it outside even non-SAP customers are using it to solve their individual problems. Really going after that huge, that 80% of data which is non-SAP but the challenge there with is how do you handle that? Data is now sitting out in all these different clouds. HANA was known for orchestrating data but it was really designed to do it on premise because we knew not everyone's gonna put data into our system. We came in late, right. And yeah we're the fastest growing but data was sitting in Oracle, and the TIZA and that's coming up and going into data lakes, running on ADO and we could orchestrate and move that data into HANA or do it in place. Go to the cloud, it's totally different. Average customer and CIOs are telling you they have six to eight clouds and you're like, wait, how did you get to six to eight? And you're like, yeah, they've got data in storage just in Azure, in AWS, and in Google but they've also got in all these different cloud applications and a lot are from SAP but a lot aren't and yet and so companies are telling us we've lost the view of who our customer is. We've lost view of our business. Which is the opposite of what you would have expect from this data explosion and, you know, digital transformation which was like showed up and disappeared in like two years but so how do you handle that? If I have data. So much data sitting out there. IOT data in the edge, love file data sitting in object stores, I've got data in different applications, data still on Fram. How can I actually possibly move that? You can't. There's no way to put it all together in one cloud. Everyone says, oh, bring it to my cloud. It's not viable. >> Right. So how do I actually push compute, get the data I need, refine it in place, and orchestrate and move that together with the ultimate security in governance? Which is what our customers are wanting. They're saying, how Chris for our non-SAP data and SAP, can I move data for application integration? How do I do analytics? How can I pre-press data and load it into a data lake, into a data warehouse and then I'll come back and do some other cool stuff on it with data science? And that's all about by combining HANA and data hub together in a suite with deep integrations, technically from a data center readiness it's all as a service runs in the cloud but because we're SAP it's also on Prem enabled if you still want to run it that way. And it allows you to solve these huge data problems and we also help you. We bring SAPs intellectual property of data models to this so you can use things like Enterprise Architecture designer and say look we don't have a model of customer. I'm like, well yeah, what kind of industry are you in? Okay, I've got a high tech customer model pre-built for you so then you don't have to build that from scratch. We bring the things to you. So now you can get very, very quick value right from the implementation within weeks. >> And that speed is obviously essential. >> Well, how does it. (crosstalk) >> HANA's a terror, which it's known for. >> But you're right, sorry Keith, you're right that in the consumer world because we have access to everything everywhere from so many devices, we as business people expect the same thing. >> Yeah. And so that speed is critical. You talk about, you know, multiple clouds, data in so many different sources. It's not valuable unless you can actually harness it and extract insights that may only be viable for a quarter or something like that. >> But nobody even knows where the data is and so you look at like we're about to, we were talking about HANA. I just came back and we're coming out a little bit later the year with HANA data hub 2.3 which is part of HANA data management suite and that actually has a whole metadata repository. So someone who knows what they're doing goes in and maps out where all this data is located and actually they don't have to do it all themselves, it's got heuristic-al and semantic search to automatically map and categorize data. I can then map that back to like my definition of customer or supplier and other things. Now everyone doing all the analytics and doing exactly what you're talking about Keith where can I just say into my phone, hey, someone in board meeting goes hey what were our results within two peak last year over this year and show and break that down by city and have it just pop up. Just like you say to somebody, hey high school football game, didn't those two play together? Anyone can do that on a mobile device but we don't know the data in our own company. How do you do that? And then let HANA data management suite will automatically know where the data is, orchestrate, go get it, pull it together, and deliver that back to a mobile device that you might have spoken into. >> Do you have a favorite customer that articulates just what you said? >> I do. I just actually walked out of a session. It was just and it sounds a little boring but it's incredible what people are doing. So I just walked out of a thing with the Swiss Federal Railways. Sounds boring but you know where. I live in Europe and everything is by rail, right? And so they're doing about 60 percent of the rail traffic there is passengers, 1.25 million passengers a day plus the balance of 40 percent of the trains are freight. They're having a huge problem because you use huge, it's all electrical and they're trying and so when you get up and it's growing rapidly. So they're, and they do their own power with power plants and when they go up with power plants, when they go over peak they have to spot by at just massive times a premium on that data on that. And we're actually doing this a lot of place out of rail but they also use electricity on heaters and other stuff in the cold winters and air conditioners. They're now streaming information off the trains, off of the points all the way along the signals and from all the power plants. They know peak usage. It automatically detects when they're going to go over and rather than going into the plants, it actually cuts the heaters off for a second here or there. There's heaters in all the switching equipment. They know how long they can do it. HANA managed this, this is automatically so it's IOT in but it's automatically making automated business decisions, shutting down systems programmatically, intelligently actually using machine learning and keeping it. So now what they do, so now they don't need to go out to the spot market in buy energy anymore. It has cut their electrical usage by a third. >> How much money have they saved? >> No, what's a third is how much money they've saved. The electricity is still high but they're not buying that really, really >> The premium. expensive premium and so you're streaming data, it's all over, it's all happening in real time, and it's automatically kicking out business processes without human intervention. And then it's a platform for them where they're adding all this new capability to save in other ways and so it's just, you know, simple but clean really good use. Good for the planet. It's great for the customers. And now they have, and by the way, when you hit those peaks, that's when they short-out systems and that's when trains stall out. So actually you're getting better servicing of the trains. So, yeah, it's good storage. >> So edge core cloud, great breakdown of kind of the use case. The data is being collected at the edge. Data may not even be collected in a SAP system? (crosstalk) We're doing great! >> It's reality. >> It is reality and one of the things that I think architecturally that enterprises have a hard time wrapping their head around, HANA in-memory database defeats latency when you're inside the database, when you're inside of the data center, however you were thinking about HANA data management. How does the in-memory database impact and data management impact data retrieved from the edge? Help explain the importance of metadata and willing down that data so that we can get it back to the cloud and process their important data. >> Keith, it's a great question. Sometimes, HANA is not, you know. Although we like to go it's a hammer and we think everything's a nail but sometimes you don't which is why we have data hub. And it has unique capabilities for doing something called data pipelines and movement. So we can actually do all the data transformation movement calling tensor flow in flight. We do this as the data is in movement so we're actually doing all of that processing as it's moving through. If you need extra horsepower and want to combine different data types and there's certain capabilities pipeline engines don't solve well. HANA is a service which HANA is now completely cloud native. They can actually bring up HANA in a few seconds. It will take the data flow in, compute it, it's not being used as database, it's a compute layer out at the edge, the data flows out to move on to the next step usually via a data pipeline from data hub and that service gets shut off. So you just pay from small compute when you need to bring out the big guns and then it moves on. And maybe that data never comes back into a HANA system, maybe it does, but you're using the technological underpinnings of in-memory computing in this way as just literally a flow through compute engine. >> And I think that's the disconnect a lot of organizations have because you associate s4 bases, BW, all these applications on top of the database. They don't think of HANA as something that you can spin up, spin down. >> But that's brand-new and that is what we just announced and went live last week. So HANA was, there's traditional on-prem system, bare-metal, it run virtualized but I mean talking about big arm running HANA systems. Now to actually have it, so HANA as a service came up. We rewrote the entire thing to make it completely cloud native and orchestrated. It's all containerized in elastic. It runs, it came up last week running an AWS and available also in GCP. Our target is a little bit later this year. I always have to use a safe harbor language. It'll be coming up on, it'll be coming up in Azure and after all the rest of SAPs data centers and then also coming out and in Asia through Huawei and coming up in those data centers as well as some others we have planned. And that's where you actually get this fully elastic HANA that's able to come up and come down automatically. >> So this massive transformation that you guys have achieved in 46 years, say 46 years young, 390,000 customers. >> Yeah. SAP didn't get to where it is without having a really robust symbiotic partner relationship ecosystem. We're here in the NetApp booth. There's a 150 partner sessions alone at Sapphire this week. Talk to us a little bit about how the partner ecosystem is helping you guys give customers the flexibility and the choice that they need. >> Yeah, no, and it is. SAP can't do everything. And so a lot of the aspects are that we look at in very different ways. Of course, some companies and the big corporations we deal with need strategic SIs, these strategic integrators to do consulting and other pieces and we work really closely with them on and they have specialized practices and other things on both HANA. They're extending out into the HANA data management suite. We do the same thing since we realize you need boutiques. We're the fastest geospatial engine in the world but that's a very niche piece although geospatials may be the hottest data type out there happening right now. Those are very specialized boutique firms. So we work with all of those and to help our customers when they need that. So we work with a lot of specialists. We work boutiques but we couldn't do this without hardware partners, with storages which is why we allow. There's still a lot of folks running on Prem. So we still have to have all these things so we have HANA tailor data center integration so you can certify your systems like NetApp. You can certify everything else on prem so you don't have to rebuy new hardware. Use what you have. I'm not trying to get you to buy a bunch of new appliances. And then the other one is a lot of is via and OEMs have started building out on HANA but now what they really want to do is go directly on HDMS as the cloud offering because it runs both in any cloud, which is a very unique differentiator that we run in every major cloud out there, as well as coming back and running on-premise. They can play their applications very risk-free with the extreme security and governance we're providing within that stack to build applications that they want to sell and use for enterprises. >> So you've been with SAP about six years you said and even Bill McDermott said in his keynote on day one, biggest Sapphire ever. You've seen a tremendous amount of growth. The momentum here is so palpable. The types of validation that SAP is getting through the voice of the customer, through partners like Netta, the different partner ecosystem. That validation is electric. >> Yeah. >> What excites you about everything that was just announced in the last couple of days about the rest of 2018? Where do you go from here? >> Oh my god! Okay, it's like asking me to pick my favorite child. (crosstalk) But, you know, honestly I get to. You get to see the innovations that I still enjoy. I love the full use use cases because I'm like a compute guy at heart but I see all the applications that we've done in these demonstrations. The fact that people have applications that are giving all of the analytics in line with the transactions on these gorgeous UIs. I mean you run these things on a mobile device that means the data layer has 20 milliseconds to actually not only grab the data but to do all the predictive analytics and everything you see to give you that nice two second screen to screen time on your mobile device and that's what we've worked for six years to enable. And now we're seeing that potential coming out at places like Swiss Rail. Just was talking with Gustav Rossi through the biggest cancer research labs and hospitals throughout all of Europe. They're doing all this genomic research, personalized medicine for cancer patients throughout Europe using HANA. I didn't even know about it, you know, or other ones we talked about beef farmers. Talking about smart farming throughout all the Netherlands. Reducing pesticide use, water usage dramatically down, and they increased yields by 10 percent. I mean and they're doing this on native HANA. So this area for me, the excitement of people and busting out of the SAP core traditional CIO market and moving into this 80% of data is to me exciting that people are seeing that HANA is not just an SAP appliance but it's really a general-purpose data platform for these innovation use cases. >> Helping customers change their business, change industries, save lives, pretty cool stuff. >> Yeah, I think so. >> Chris, thank you so much for stopping by The Cube and sharing with us your enthusiasm and your excitement for what you're doing at SAP. We appreciate it. >> Well, thank you very much. This was awesome. Thank you guys. >> We want to thank you for watching The Cube. Lisa Martin with Keith Townsend at SAP Sapphire 2018. Thanks for watching! (techno music)

Published Date : Jun 8 2018

SUMMARY :

Brought to you by NetApp. and we are at SAP Sapphire Now 2018 in Orlando. You are the SVP of Database and Data What they tell me. That's what they tell you. So this event is enormous. Well, and it is, is the energy is just crazy. You don't see that with a lot of, see levels on day one. Well, and that's the thing too. How can I have the device speak to me? All that is powered by the data on the backend. We heard something on the stage this morning. Which is the opposite of what you would have expect We bring the things to you. Well, how does it. because we have access to everything It's not valuable unless you can actually and so you look at like we're about to, and so when you get up and it's growing rapidly. buying that really, really to save in other ways and so it's just, you know, The data is being collected at the edge. of the data center, however you were thinking out at the edge, the data flows out to move on that you can spin up, spin down. We rewrote the entire thing to make it completely So this massive transformation that you guys We're here in the NetApp booth. And so a lot of the aspects are that we look and even Bill McDermott said in his keynote on day one, and busting out of the SAP core traditional CIO market Helping customers change their business, and sharing with us your enthusiasm and your excitement Well, thank you very much. We want to thank you for watching The Cube.

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Brian Ferrar, Cisco | SAP SAPPHIRE NOW 2018


 

>> From Orlando, Florida, it's theCUBE, covering SAP SAPPHIRE NOW 2018, brought to you by NetApp. >> Hey, welcome to theCUBE, I'm Lisa Martin, with Keith Townsend on the ground at SAP SAPPHIRE NOW 2018, we're in the NetApp booth, and we are joined by a CUBE alumni, Brian Ferrar, Marketing Manager for SAP at Cisco, welcome. >> Thank you, thank you, it's great to be here. >> So you are a veteran, you've been at Cisco, you said, about four years. But you have been in the SAP community for a long time. This is, I think I was reading, the 25th time that they've done an event like this. Now, obviously, an event with north of 20,000 people, a million people, Bill McDermott said, engaging online. Wow, we're in the NetApp booth. Tell us, Brian, about this trifecta: NetApp, Cisco, SAP. >> Well sure, thank you very much, first of all. We appreciate the invitation to be here. We've been working with Cisco, Cisco's been working with NetApp and SAP on solutions for our customers together for about 10 years. And in that time, our joint solution for SAP, which we called a FlexPod, which combines Cisco UCS servers with NetApp storage, and of course then there's Cisco networking. That's become one of the most preferred platforms to run SAP HANA on. There was a recent IDC survey, in fact, end of last year, in which they went out, without any consultation with us vendors, and did an independent, true market research survey, with over 300 end users of HANA, and they asked, what was the best platform, what was the most preferred platform to run on. And by far, it was FlexPod, with Cisco and NetApp. And the favorite storage platform, by far NetApp. So we think we're doing a really good job for our customers, but there's always room for improvement, so we're ever innovating, and that, I think, is the secret to our success. Constant, repetitive innovation, making it better and better and better. >> So if we look at these digital transformation platforms of the future: SAP HANA, Leonardo, and then we think about the Cisco, NetApp value prop. How does those individual components play in that equation? >> Well a couple of ways I think, it's a great question. First of all, you gotta start with the very core of what you're concerned about. This is a risky situation. You're running your companies most valuable asset, your supply chain, on this stuff. And so you wanna make sure that the platform you're using is rigorously tested and even more rigorously secured. So one of the things we're known for, and we do this with NetApp, on the FlexPod platform, is our CVDs, Cisco Validated Designs, in which we pretest and precertify everything that you would have to do to implement your SAP solution on a FlexPod. And that's all documented. So if you follow the instructions, you're gonna get a foolproof installation. Then the second way, is we need to make operation and management of these environments simpler and easier. Everybody's looking to reduce cost, reduce resources, improve performance. So one of the ways we've really distinguished ourselves in this market, especially with NetApp, is something we call policy-based infrastructure. We have a product called ACI, Application. (laughs) ACI, what's ACI? It's Application Centric Infrastructure. And it allows us to automate the deployment and management of HANA on these solutions. In fact, one SAP executive saw this and coined the term, One Click Deployment. And I won't say it's just one click deployment, there is some tweaking, but that speaks to the simplicity of deploying it on a FlexPod. But more than that, then we apply that automation to the management and the ongoing orchestration of that environment. And so, for example, if you wanna keep security threats out of your environment, you can automate our Tetration solution on top of that platform that looks at incoming code, looks for patterns, and detects inappropriate activity before it has time to harm your system. Another way we do that was with a product we're unveiling here at SAPPHIRE, which is AppDynamics for SAP. AppDynamics is a fairly famous company around monitoring applications, and Cisco acquired them about a year ago, and we're unveiling their solution for SAP in our booth with number 550, in fact. And that allows you to look all the way down to the code level and see what's happening. >> So, let's pick that apart a little bit, that's pretty amazing. I'm familiar with AppDynamics, it was a born-in-the-cloud solution. So when you think about SAP, and you think about traditional applications built on SAP, you don't think about AppDynamics, you know. AppDynamics was this thing that could allow you to monitor and troubleshoot code across clouds. What's their play with SAP. >> It's hard to say, anymore that anybody's running SAP just on premise, or just in cloud. We live in a hybrid world, a lot of people call it the multi cloud world. And you have to have these management and monitoring tools work both on prem and in the cloud. Basically, they gotta follow your data. And that's the beauty of AppDynamics, is it works across all those multi cloud environments. And I think that's the big play for us with them. We're very concerned about security, coming from a network background, we're very aware of intrusion capabilities, the size of your attack surface, how cloud actually increases the size of your attack surface. So you need a tool like AppDynamics, and other tools that Cisco has, as I mentioned our Tetration tool, to really watch that code and that data going across your infrastructure. And also to keep an eye out for bad actors. It's unfortunately a dangerous world now. Just read the news and see all the companies that have had their brand essentially held hostage with ransomware, for example. >> So let's talk about support. I love the idea of being able to take the infrastructure, outsource the engineering of that to Cisco, FlexPod, Tetration, these validated designs that makes deployment simple. But support, when there's a problem with a query, that's supporting a digital transformation initiative, who do I call? Do I call NetApp, do I call SAP, do I call Cisco? >> It's a great question, it's a great question, 'cause nobody here, not just Cisco, but no vendor here at the show today, implements a solution just on their own, and every environment has multiple pieces in the solution. Cisco takes ownership of the support of all the components, even our partner components, of any solution we deploy. So it's one stop shopping for your support calls. Now if we find it escalates to a higher and higher level, we have direct connections to our partners, third level support escalation teams, and we bring them in, and we solve the problem, but we never let go of it. We don't hand it off, we maintain that incident. No finger pointing, and if you've ever had any personal issues at home on your laptop, and tried to get somebody to help, and you call one person and they point you to another, Yeah, it just doesn't happen. >> My better half just always blames it on the network. And I'm not a network guy anymore, so it's never my fault. (laughing) >> But speaking of needing to delight customers, one of the things that, thematically, was talked about this morning in Bill Mcdermott's keynote is enabling the intelligent enterprise and really being able to embed AI into the technologies to unite the humans with the machines. I loved how he talked about augmenting humanity, and what he talked about there was really. >> The Brave New World, huh? >> Right, and kind of, not calling out their competitors by name, but we all know who they are, and really saying that what SAP is now doing is connecting, synchronizing, the demand chain with the supply chain. So enabling the customers who don't care what's under the hood, right? To focus on their customers, to get this comprehensive customer view. >> I actually really liked that part of the keynote because that description characterizes Cisco ourselves as SAP's customer. So we eat our own dog food, to use the cliche, but you talk about artificial intelligence and machine learning. Last year at SAPPHIRE, we won the HANA innovation award, for the innovation that we did on HANA with AI and machine learning. And we implement that internally, not just for our customers, but internally for ourselves, we do all our sales forecasting, and supply chain management with HANA using AI and machine learning for better insights. And it has made a world of difference to our internal supply chain and IT teams. I mean it's funny because, 20 years ago, we would have called it magic, and it's not, it's innovation. In fact that's the theme of our booth here at SAPPHIRE this week, is it's not magic, it's innovation. We actually have a magician in the booth sawing people in half. You're welcome to come by. If you fit in the booth, you can be sawed in half. >> I might be in trouble here. >> You have to be rather small, but we'll show you how the trick is even done. And that's the thing with innovation, differentiating it from magical claims that other vendors might make. We show you under the covers, how it's done, and we share everything and document everything. And that's actually going back to those CVDs that are so valuable to our customers. >> So let's talk about one of the pillars of Cisco, which is security. As we look at where data's at, we're talking about Edge, the data center, and somewhere in between, >> Yeah, everywhere in between. >> Everywhere in between, security has to follow the data. How does Cisco with NetApp help administrators follow the data? >> Oh, that's another good question. I was in a presentation from an analyst recently, it said the world's data is now increasing, it's doubling every two years. The entire world's data is doubling every two years. So how do you keep track of that and how do you manage it? One of the ways we do it, and we do this with NetApp as well and the FlexPod, is we have security embedded in every aspect, so we talk about computing at the Edge, with IOT devices, you know? Smart cars is an example everyone understands. But there's supply chain IOT out there on the Edge as well. Tracking shipments and ballots, and widgets, and units. And we talk about computing at the fog, and trying to get computing as close to the transaction as possible, for low latency, high performance. But then for deep analytics, you're bringing that data back to the core. So you've got a lot of places where you could be attacked, as I mentioned earlier, that attack surface has now grown dramatically, it's no longer isolated within the four walls of your data center. So we embed security at every place along that chain. Coming from a network heritage, we have intelligent routers, often ruggedized, that we can put out there in the Edge, with security, to catch inappropriate activity happening, coming in from an IOT source for example, from a sensor. That is not what we were expecting and could potentially be an attack. And then we can analyze it before it ever gets into your valuable data center. And so we're putting that security at the Edge, in the fog, on the servers, in the data center, on the routers, on the network, you name it. We think there's no one solution. You have to have an all encompassing end to end solution, that literally surrounds you with that security bubble, and that's what we're doing. In fact, we, by the way, to put a plugin for Cisco, we just came out with our annual Cybersecurity Report, which is one of the most popular supports on cyber security trends every year in the industry. So Cisco puts that together, and obviously takes it very seriously. >> So you mentioned AppDynamics before, monitoring SAP apps, you just mentioned security. Put that in the context of this next generation data center. What does a customer, what can they expect working with Cisco, NetApp, and SAP, to evolve to a next gen data center. >> It's an interesting question, because the very nature of the data center is changing now. I mean, you know if I'm on the road and I'm processing end of year financial closes or end of quarter financial closes, am I a data center? If I'm processing IOT data on the Edge, and because it's so critical, for example, take oil and gas. They can measure that remote oil well in dollars per second, or tens of thousands of dollars per second of down time. And so you want the data coming in from that well. Pressure, temperature, potential downtime, coming in in time to fix it before it breaks, is that now a data center? So we're talking about, what does it mean? The definitions of compute, of data capture have all changed. The idea is you've gotta follow that data. And that's what we're looking at for the future, I think, is the data center is no longer an internal monolithic, controlled environment, that you can be very certain of. Now you've gotta follow that data and adapt your security to the type of processing you're doing, whether it's in the data center core or out there on the Edge. And I think that's what we're evolving to. Someday we'll all be data centers. >> So let's talk about that, all on the data center. Developers are now developing applications, containers, they practically have data centers on their laptop. Connect the dots for us, where Cisco plays in. >> This is actually one of the latest developments, I think, in the industry, is the emergence of something called containers. And we're the first vendor to work with SAP to implement our Cisco container platform, to provide their SAP data hub with containerized access. So now, that SAP data hub can become the nucleus of all incoming data and processing all big data for new insights, regardless of the source of that data or the application that data's running on. And that's what the beauty of containers is, is it encapsulates that application, so those rules come with that data, and so now you can, literally, connect everything to that central SAP data hub, and have complete, what did Bill Mcdermott call it, 360 degree visibility. And that's made possible by the ability to tap into not just new big data solutions that you have out there, but legacy big data solutions. I mean, I'm old enough to remember when there was such a thing called the data warehouse. And they were all proprietary and there were a whole bunch of them. And there are still our customers out there running not only the new stuff, but the legacy stuff, 'cause it works, they figured it out, and they don't wanna change it, it gives them good insights. So how do you take that legacy stuff now, and link it and combine it with all the new stuff coming out of, for example, your SAP supply chain, and the answer is the containers on top of that SAP data hub will do that for you. And that's really where we're taking it. There was a language, Esperanto, years and years ago, that was created in the '60s, '50s even. And I think the idea was it was gonna be a universal language that anybody could speak. So I don't speak Spanish, if they don't speak English, but we both speak Esperanto. And of course it never took off, because it was yet another language to learn. But the idea, the concept of having this in between piece that makes anything connect to anything is still a very intriguing idea for the human mind. And you can apply that to this data sphere, this global data sphere, and now, with something like a data hub tool and containers, that serve that encapsulation purpose, you can actually have a nucleus of big data and analytics in your company, that doesn't care where the data was originated from or what application it's running. It's still available to plug into your analysis, your planning. >> Well who knew, SAP, we heard Kubernetes, and AppDynamics in one interview at SAP SAPPHIRE, that's amazing. >> Mind blown? >> I get paid by the buzzword, you know. >> Wow! >> Yeah, I'm in marketing. >> So am I, I gotta tap into your expertise now. Brian, thank you so much for stopping by theCUBE, and talking with Keith and me about what's new with Cisco, your partnership with SAP, and NetApp, and happy birthday. >> Thank you very much, I appreciate it. Come to the party. I'm actually having Justin Timberlake perform this year. >> That's very nice of you. >> You're all invited. >> Well thank you, wow, I'm glad I could make it to your birthday party. >> You guys have a great day. >> We wanna thank you for watching theCUBE, we are at SAP SAPPHIRE 2018. I'm Lisa Martin with Keith Townsend, thanks for watching.

Published Date : Jun 8 2018

SUMMARY :

brought to you by NetApp. with Keith Townsend on the ground at SAP SAPPHIRE NOW 2018, So you are a veteran, you've been at Cisco, is the secret to our success. and then we think about the Cisco, NetApp value prop. and we do this with NetApp, on the FlexPod platform, So when you think about SAP, and you think about And that's the beauty of AppDynamics, I love the idea of being able to take the infrastructure, and every environment has multiple pieces in the solution. My better half just always blames it on the network. the technologies to unite the humans with the machines. synchronizing, the demand chain with the supply chain. I actually really liked that part of the keynote And that's the thing with innovation, So let's talk about one of the pillars administrators follow the data? One of the ways we do it, and we do this with NetApp Put that in the context of this next generation data center. And so you want the data coming in from that well. So let's talk about that, all on the data center. And that's made possible by the ability in one interview at SAP SAPPHIRE, that's amazing. and talking with Keith and me about what's new with Cisco, Thank you very much, I appreciate it. to your birthday party. We wanna thank you for watching theCUBE,

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John White, Expedient | ZertoCON 2018


 

(light techno music) >> Announcer: Live from Boston, Massachusetts, it's The Cube. Covering ZertoCon 2018. Brought to you by Zerto. >> This is The Cube. We're at ZeratoCon 2018, Hines Convention Center in Boston. My name's Paul Gillin. My guest is John White, the VP of Product Strategy at Expedient. Why don't you start off by giving us just the elevator pitch on what Expedient is all about. >> Sure, Expedient is a cloud-service provider as well as managed service provider, and we also have data centers that we operate here mainly on the east coast. We have seven cities and 11 data centers. Those are in Boston here, locally as well as Baltimore, Maryland, Pittsburgh, Pennsylvania, Cleveland, Columbus, Indianapolis, and Memphis, Tennessee. And then we actually, we'll put our private cloud services really anywhere. So we actually will put 'em on the customer's premises to meet that need as well as in partner data centers anywhere over the world, if they have to deal with compliance, security, whatever it might be, we'll go and tackle those problems for them. So our goal is to be an infrastructure as a service provider for, you know, really all the enterprise. >> So, when would a company do business with you verses a Microsoft or an Amazon? >> Yeah, so, if you kind of look at really three ways to kind of go cloud, right? You can still do it yourself. You can build some cloud-based services. And that's, again, you're in it on your own. You can go all the way to the extreme, which is the AWS or the Azures, and that's more, again, you're kind of in a do-it-yourself type of mentality. And your support structure there is a little bit different. It's maybe a little bit more mechanical, a little bit more robotical. If you need help in transitioning and figuring out where your workload should sit, and maybe creating more of a hybrid cloud so it's maybe on your premises, it's inside one of our data centers, and then maybe it's even in one of those AWS or Azures. You're going to work with a company like Expedient to go and help you figure out where you should put your workloads, first off. And then how to create that long-term strategy so you get the best of all worlds that are out there, not just one prescriptive cloud. >> So, you're kind of a high-touch cloud provider then. >> Very, very high touch, yeah. Our whole product service is actually a la carte menus. So you pick and choose what you want. We can manage servers, we can provide virtual infrastructure, we can do things like DR as a service, backups as a service, all those pieces. So you build, basically, your perfect IT strategy with us. And then direct connects into AWS and Azure and some other cool products coming soon to kind of make your life a little bit easier, consuming and running your work loads in public clouds. >> Well we hear a lot these days about multi-cloud, about customers wanting to shift their work load seamlessly around between multiple back-end cloud providers. Certainly vendors talk about that a lot. Do you hear customers talking about it? >> Yeah, we have some customers starting to talk about it. And, you know, in the beginning, they just wanted to see, okay, I'm running workloads in AWS, I'm running workloads in Expedient, I'm multi-cloud. And then they start to understand. well, our management's really hard. And the network's really hard, and the security's really hard. And we're doing backups another way than we've done it traditionally. And we're helping customers bridge that gap and saying, we can take some of the security policies that we've been running internally in our data center, and maybe you've been doing inside your data center, and take those out into the public cloud. Simplifying things with networking. We're a pretty big VM or NXS shop. So doing something where you can create tagging and policies local inside the Expedient data center, and then being able to translate those up into AWS and Azure, to make it, basically, one seamless network, is really, really big and key for our customers. It's something that I think is still new. We have a handful of customers that we're working on a lot of cool research projects on. But I think it's going to be something that's going to be the dominant force here in the next few years. >> You mention disaster recovery as a service. Now is that where Zerto fits into your plan? >> Correct, yeah. We've been working with Zerto for quite some time now really since they were just comin' to Boston. And we worked and spent a ton of time with them getting them to understand the needs of service providers, 'cause they were traditionally enterprise focused. And that partnership that we've built over the years has done tremendous value for not only our customers but our businesses. And we've actually had two year-over-year growth for the last three years with them. And actually, we just won the Service Partner Growth Partner of the Year Award with them. So we're creating some pretty cool solutions around DR as a service, and taking some of our network background and actually simplifying DR for our customers that way. So, we use Zerto as well as VM Ware, and some of our own product connectivity, NSX, to actually simplify the package of DR to get the recovery time objective down into 10, 15 minutes, instead of four hours or eight hours or multiple days that really most people are experiencing right now. >> So when you look at the landscape, there are a lot of disaster recovery solution providers you could've worked with. What does Zerto do that's really different? >> The part, well, on a technology wise, watching them take a look at the change block that's occurring that's out of the VM1 environment, making an agnostic from a storage layer, that was really big for us in the beginning on the technical tip-in. And then the partnership, as of late, really since the beginning, was the big value differentiator that we just couldn't find in other companies that're out there. We locked arms with their product management team and their product strategy team right away. We gave them literally two sheets of paper and said these are the things we need to be successful as a service provider using your software. They went down, checked 'em all off. We started goin' at it, and we started then growing that year-over-year for the last three years. So, it's been an amazing partnership. They have a strategic team that understands where the marketing industry's going. And we're going to use them, and leverage them, as much as we possibly can to help out our customers, give 'em the best outcomes they can possibly get. >> When your customers talk to you about backup, where do you see them going? Where is that market headed? >> So backup, traditional backup is something we've been doin' for quite some time. We do petabytes of backups every year for customers. Still using tape, believe it or not, as well. We have a lot of discs-- >> Tape will never die. >> Tape is still out there. I actually have a bumper sticker that I think EMC made when they bought Avamar saying Tape is Dead. And I don't think it's going to die anytime soon. >> Mainframe was dead, too. >> Yeah, right, mainframe has been dead and we still roll new ones into our data centers on a regular basis and then put cloud beside it. But on the backup side of it, if you look at some of the new disasters, right? Look at Atlanta. Their disaster was different. It wasn't a natural disaster, it was a-- >> Radsomeware attack. >> Ransomeware attack. Right, that's a new disaster. We're going to find new disasters, and you can't go and restore back from 24 hours ago and think that that's good. We don't live in that world anymore. It needs to be from five minutes, seven minutes, 30 minutes, whatever it might be. So, we use their journaling today to actually get those quick recoveries. And if they can extend that out, I think it's going to be pretty powerful for customers to say, okay, I want to go back to two years, three days, and six hours from now. And say, gimme that point in time, snap. That's the way I want to actually restore that data. Succeeding in that vision I think will definitely change the game for how we actually look at doing backup and restores in the future. >> A lot of talk at this conference about resilience. >> John: Um hmm. >> Is that a concept that you think customers, your customers, have really internalized? They understand what that means? >> They're getting it, yeah, definitely. I mean, DR even was something that we had to kind of walk them into. But now, if they have an outage, it's not just money that they're losing. It's the reputation. And as we all know now, reputation is key. And you look at Twitter. When somebody has an outage, or has a problem, I mean, their users essentially just blow 'em up and there's memes and all kinds of other stuff. There's a lot of funny ones for the airlines, from Delta and Southwest havin' those challenges. And so, our customers today are realizing that yeah, we can't go a day or two without having service to our customers. We can maybe go a minute or two, but that's about it. We need to make sure we're being resilient with our data. We need to make sure we're protecting it, we'll be able to create ways to quickly roll it back to make sure our customers are up on line. Because they just can't go down anymore. >> How important is security as a driver of resilience and spending on disaster recovery now? >> Yeah, security is definitely, with being able to quickly restore from like a ransomware, it's startin' to bring that infrastructure that has been, security's been a little different there, and where network security's been a little bit different, kind of bringing them together to create, say, we need to have a full package. We not only need to figure out how we're blocking it at the edge and blocking it internally east west, but we need to figure out, if we're going to get breached, 'cause we're going to get breached, how can we quickly restore from that? How can we make sure we're not being held ransom for Bitcoin or whatever the next currency's going to be that they're going to be held ransom for that they just can't pay because maybe it would knock them out of business. >> So, John, Expedient, being a small, specialized cloud service provider, you're kind of dancing with elephants when you're out there with Amazon and Microsoft. What's the secret? What keeps you guys successful and how do you keep viable? >> There's a lot of different things. I think the way we focus on technologies is a little bit unique. I mean, we're there to design the best technical solution for that customer. And not maybe fit them into a one-size-fits-all outfit. The other side of it is, a lot of our customers like the local touch and feel. Majority of our customers are at and around our data centers. That way they can get to learn the facility, they can, even if they're running cloud services with us, they know where it lives. That maybe eases their minds from a compliance standpoint, security standpoint. Or just in a trust, saying, I'm going to take my data that's been living inside of my data center, that's key to my business, and I'm going to give it to somebody, I at least want a face and a name so I can know who to call and who to talk to if there is ever a problem. >> Face to face still matters. >> It does, and I think it's always going to matter. And I think we're always going to have some sort of high interaction with every enterprise out there. And that's what they're going to need. 'Cause this stuff can never commoditize all the way. Creating the solution is still hard. Maybe the bits and pieces underneath it are a little bit easier, but the whole packages is going to always be unique and really hard to define in a one-size-fits-all for a lot of those enterprises. >> John White, thanks so much for joining us. >> Thanks for having me. >> We'll be back from Zertocon 2018 here in Boston. I'm Paul Gillin, this is The Cube. (light techno music)

Published Date : May 24 2018

SUMMARY :

Brought to you by Zerto. just the elevator pitch on what the customer's premises to meet that need And then how to create that long-term strategy to kind of make your life a little bit easier, Well we hear a lot these days about multi-cloud, And then they start to understand. Now is that where Zerto fits into your plan? Service Partner Growth Partner of the Year Award with them. So when you look at the landscape, and said these are the things we need We have a lot of discs-- And I don't think it's going to die anytime soon. But on the backup side of it, I think it's going to be pretty powerful We need to make sure we're being resilient We not only need to figure out how we're and how do you keep viable? a lot of our customers like the local touch and feel. and really hard to define in a We'll be back from Zertocon 2018 here in Boston.

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George Mihaiescu, OICR | OpenStack Summit 2018


 

>> Narrator: Live from Vancouver, Canada, it's theCUBE, covering OpenStack Summit North America 2018, brought to you by Red Hat, the OpenStack Foundation, and its ecosystem partners. >> The sun has come out, but we're still talking about a lot of the cloud here at the OpenStack Summit 2018 in Vancouver. I'm Stu Miniman with my co-host John Troyer. Happy to welcome to the program the 2018 Super User Award winner, George Mihaiescu, who's the senior cloud architect with the Ontario Institute for Cancer Research or OICR. First of all, congratulations. >> Thank you very much for having me. >> And thank you so much for joining us. So cancer research, obviously is, one of the things we talk about is how can technology really help us at a global standpoint, help people. So, tell us a little about the organization first, before we get into the tech of it? >> So OICR is the largest cancer research institution in Canada, and is funded by government of Ontario. Located in Toronto, we support about 1,700 researchers, trainees and clinician staff. It's focused entirely on cancer research, it's located in a hub of cancer research in downtown Toronto, with Princess Margaret Hospital, Sick Kids Hospital, Mount Sinai, very, very powerful research centers, and OICR basically interconnects all these research centers and tries to bring together and to advance cancer research in the province, in Canada and globally. >> That's fantastic George. So with that, sketch out for us a little bit your role, kind of the purview that you have, the scope of what you cover. >> So I was hired four years ago by OICR to build and design cloud environment, based on a research grant that was awarded to a number of principal investigators in Canada to build this cloud computing infrastructure that can be used by cancer researchers to do large-scale analysis. What happens with cancer, because the variety of limitations happening in cancer patients, researchers found that they cannot just analyze a few samples and draw a conclusion, because the conclusion wouldn't be actually valid. So they needed to do large-scale research, and the ICGC, which is International Cancer Genome Consortium, an organization that's made of 17 countries that are donating, collecting and analyzing data from cancer patients, okay, they decided to put together all this data and to align it uniformly using the same algorithm and then analyze it using the same workflows, in order to actually draw conclusion that's valid across multiple data sets. They are focusing on the 50 most common types of cancer that affect most people in this world, and for each type of cancer, at least two countries provide and collect data. So for brain cancer, let's say we have data sets from two countries, for melanoma, for skin, and this basically gives you better confidence that the conclusion you draw is valid, and then the more pieces of the puzzle you throw on the table, the easier to see the big picture that's this cancer. >> You know George, I mean, I'm a former academic, and you know, the more data you get right, the more infrastructure you're going to have to have. I'm just reading off the announcement, 2,600 cores, 18 terabytes of RAM, 7.3 petabytes of storage, right, that's a lot of data, and it's a lot of... accessed by a lot of different researchers. When you came in, was the decision to use OpenStack already made, or did you make that decision, and how was the cloud architected in that way? >> The decision was basically made to use open source. We wanted basically to spend the money on capacity, on hardware, on research and not on licensing and support. >> John: Good use of everybody's tax dollars. >> Exactly, so you cannot do that if you have to spend money for paying licensing, then you probably have only half of the capacity that you could. So that means less large analysis, and longer it takes, and more costly. So Ceph for storing the data sets and OpenStack for infrastructure as a service offering was a no-brainer. My specialty was in OpenStack and Ceph, I started OpenStack seven years ago, so I was hired to design and build, and I had a chance to actually do alignment, and invitation calling for some of the data sets, so I was able to monitor the kind of stress that this workflows put on the system, so when I design it, I knew what is important, and what to focus on. So it's a cloud environment, it's customized for cancer research. We have very good ratio of RAM per CPU, we have very large local discs for the VM, for the virtual machines to be able to download very large data sets. We built it so if one compute node fails, you only impact a few workflows running there, you don't impact single small points of failures. Another tuning that we applied to the system too. >> George, can walk us through a little bit of the stack? What do you use, do you build your own OpenStack, or do you get it from someone? >> So basically, we use community hardware, we just high-density chassis, currently from Super Micro, Ubuntu for the operating system, no licensing there, OpenStack from the VM packages. We focus more on stability, scalability and support costs, internal support costs, because it's just myself and I have a colleague Gerard Baker, who's a cloud engineer, and you have to support all this environment, so we try to focus on the features that are most useful to our users, as well as less strain on our time and support resources. >> I mean that's, let's talk about the scalability right? You said the team is you and a colleague. >> George: Yes. >> But mostly, right. And you know, in the olden days, right, you would be taking care of maybe a handful of machines, and maybe some disk arrays in the lab. Now you're basically servicing an entire infrastructure for all of Canada, right? At how many universities? >> Well basically, it's global, so we have 40 research projects from four continents. So we have from Australia, from Israel, from China, from Europe, US, Canada. So approved cancer researchers that can access the data open up an account with us, and they get a quota, and they start their virtual machines, they download the data sets from the extra API of Ceph to their VMS, and they do analysis and we charge them for the time used, and because the use, everything is open source, and we don't pay any licensing fees, we are able to, and we don't run for profit, we charge them just what it costs us to be able to replenish the hardware when it fails. >> Nice, nice. And these are actually the very large machines, right? Because you have to have huge, thick data sets, you've got big data sets you have to compare all at once. >> Yeah, an average bandwidth of a file that has the normal DNA of the patient, and they need also the tumor DNA from the biopsy, an average whole genome sequence is about 150 gigabytes. So they need at least 300 gigabytes, and depending on the analysis, if they find mutations, then the output is usually five, 10 gigabytes, so much smaller. For other workflows, you have to actually align the data, so you input 150 gigabytes and the output is 150 or a bit more with metadata. And so nevertheless, you need very large storage for the virtual machines, and these are virtual machines that run very hard, in terms of you cannot do CPU over subscription, you cannot do memory over subscription, when you have a workflow that runs for four days, hundred percent CPU. So is different than other web scale environments, where you have website was running at 10%, or you can do 10 to one subscription, and then you go much cheaper or different solutions. Here you have to only provide what you have physically. >> John: That's great. >> George, you've said you participated in the OpenStack community for about seven years now. >> George: Yes. >> What kind of, do you actually contribute code, what pieces are you active in the community? >> Yeah, so I'm not a developer. My background is in networking, system administration and security, but I was involved in OpenStack since the beginning, before it was a foundation. I went to the first OpenStack public conference in Boston seven years ago, at the International Intercontinental Hotel and over time I was involved in discussions from the RAC channel, mailing list support, reporting backs. Even recently we had very interesting packet affected as well. The cloud package that is supposed to resize the disk of the VM as it boots, it was not using more than two terabytes because it was a bug, okay. So we reported this, and Scott Moffat, who's the maintainer of the cloud utils package, worked on the bug, and two days later, we had a fix, and they built a package, it's in the latest cloud Ubuntu image, and that happen, everybody else is going to use the same virtual Ubuntu package, so somebody who now has larger than two terabytes VMs, when they boot, they'll be able to resize and use the entire disk. And that's just an example of how with open source we can achieve things that would take much longer in commercial distribution, where even if you pay, doesn't necessarily mean that the response... >> Sure. Also George, any lessons learned? You've been with us a long time, right, and like Ceph. One thing we noticed today in the keynote, is actually a lot of the storage networking and compute wasn't really talked, those projects were maybe down focused a bit, as they talked about all the connectivity to everything else. So, I mean any lessons, so you... My point is, the infrastructure is stable of OpenStack, but any lessons learned along the journey? >> I think the lessons are that you can definitely build very affordable and useful and scalable infrastructure, but you have to get your expectations right. We only use from the open standard project that we consider are stable enough, so we can support them confidently without spending, like if a project adds 5% value to your offering, but eats 80% of your time debugging and trying to get it working, and doesn't have packages and missing documentation and so on, that's maybe not a good fit for your environment if you don't have the manpower to. And if it's not absolutely needed. Another very important lesson is that you have to really stay up to date, like go to the conferences, read the emails from the mailing list, be active in the community, because the OpenStack meetups in Toronto for 2018, we present there, we talk to other members. In these seven years I read tens of thousands of emails, so I learn from other users experiences, I try to help where I can. You have to be involved with the developers, I know the Ceph core developers, Sage and other people. So, you can't do this just by staying on the side and looking, you have to be involved. >> Good, George what are you looking for next from this community? You talked about the stability, are there pieces that you're hoping reach that maturity threshold for yourselves, or new functionalities that you're looking for down the road? >> I think what we want to provide to our researchers, 'cause they don't run web scale applications, so their needs are a little bit different. We want to add Magnum to our environment, to allow them deploy Kubernetes cluster easily. We want to add Octavia to expose the services, even though they don't run many web services, but you have to find a way to expose them when they run them. Maybe, Trove, database as a service, we'll see if we can deploy it safely and if it's stable enough. Anything that OpenStack comes up with, we basically look, is it useful, is it stable, can you do it, and we try it. >> George, last thing. Your group is the Super User of the Year. Can you just walk us through that journey, what led to the nomination, what does it mean to your team to win? >> I think we are a bit surprised, because we are a very small team, and our scale is not as big as T-Mobile or the other members, but I think it shows that again, for a big company to be able to deploy OpenStack at scale and make it work, it's maybe not very surprising 'cause yes, they have the resources, they have a lot of manpower and a lot of... But for a small institution or organization, or small company to be able to do it, without involving a vendor, without involving extra costs, I think that's the thing that was appreciated by the community and by the OpenStack Foundation, and yeah, we are pretty excited to have won it. >> All right, George, let me give you the final word, as somebody that's been involved with the community for a while. What would you say to people if they're, you know, still maybe looking from the outside or played with it a little bit. What tips would you give? >> I think we are living proof that it can be done, and if you wait until things are perfect, then they will never be, okay. Even Google has services in beta, Amazon has services in beta. You have to install OpenStack, it's much more performant and stable than when I started with OpenStack, where there was just a few projects, but definitely they will get help from the community, and the documentation's much better. Just go and do it, you won't regret it. >> George, as we know, software will eventually work, hardware will eventually fail. >> Absolutely. >> So, George Mihaiescu, congratulations to OICR on the Super User of the Year award, for John Troyer, I'm Stu Miniman, we're getting towards the end of day one of three days of wall to wall coverage here at OpenStack Summit 2018 in Vancouver. Thanks so much for watching theCUBE.

Published Date : May 22 2018

SUMMARY :

brought to you by Red Hat, the OpenStack Foundation, at the OpenStack Summit 2018 in Vancouver. one of the things we talk about is how can technology So OICR is the largest cancer research the scope of what you cover. that the conclusion you draw is valid, and you know, the more data you get right, The decision was basically made to use open source. and invitation calling for some of the data sets, and you have to support all this environment, You said the team is you and a colleague. and maybe some disk arrays in the lab. and because the use, everything is open source, Because you have to have huge, thick data sets, and then you go much cheaper or different solutions. the OpenStack community for about seven years now. and that happen, everybody else is going to is actually a lot of the storage networking and looking, you have to be involved. but you have to find a way to expose them Your group is the Super User of the Year. or the other members, but I think it shows that again, What would you say to people if they're, and if you wait until things are perfect, George, as we know, software will eventually work, congratulations to OICR on the Super User of the Year award,

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Diletta D’Onofrio, SnapLogic | SnapLogic Innovation Day 2018


 

>> Announcer: From San Mateo, California, it's theCUBE covering SnapLogic Innovation Day 2018, brought to you by SnapLogic. >> Hey, welcome back, Jeff Frick here with theCUBE. We're at the Crossroads 101 and 92. You've probably been there. You're probably stuck in traffic. Look up, you'll see the sign SnapLogic. That's where we are. We're talking digital transformation. You've probably heard us talk about digital transformation on theCUBE, but not that many people or, excuse me, companies actually have an executive who's in charge of digital transformation. And that's not the case here at SnapLogic. And we're really excited to have our next guest. She's Diletta D'Onofrio, and she's the Head of Digital Transformation for SnapLogic. Welcome. >> Thank you, thank you for inviting me. >> Absolutely, so why does SnapLogic have a Head of Digital Transformation? I've never heard that for a company, and you're not really running digital transformation inside the company. You're helping your customers' digital transformation journey. >> Yeah absolutely, because integration is at the core of many transformations that we see led by our clients. And it's not about implementing a software for the most part. There's always the people processing technology. >> Jeff: Right, right. >> So what we are trying to do is to insert ourselves in the strategic discussion so that the implementation is more solid and secure. >> Right, right. >> And, so that's the intent of our practice. >> Right, and as you said, people process technology. We hear it all the time, and we hear a lot, too, of best practices in digital transformation is you have to make a commitment to that process change. You have to make a commitment to the people change. That's actually the hardest part. >> Diletta: Yeah. >> I think integration, usually, no one really wants to talk about integration up front because that's that hard little piece that we have to worry about down the road, but let's just not pretend that we have to do that. But as you said, that's a really important piece. It's tying all these systems together. So, you've been helping people with digital transformation here and in some of your prior jobs. So when you sit down with someone who's never heard that term, what do you tell them? What is digital transformation? >> So typically, we're pretty fortunate because I think especially in high tech, here in the valley, there are many clients that have a role which is equivalent to mine and is focused internally on digital transformation. So there either the head of digital transformation, the chief of digital officer. And what we typically do with them is to try to figure out what their plans are and participate to their journey by obviously helping from an integration perspective. >> Jeff: Right. >> Both on the application and data side. >> And where do there usually report up? It's always an interesting conversation because we go to chief data officer events. We go to chief analytics officer events. So you've got kind of these new evolving roles that are really built around data and enabling data and becoming a data driven enterprise. But does it report to the CIO? Does it report to the CTO? Does it report to up through the CEO? And then now you've got this role of people kind of heading up the digital transformation. Where do you see them reporting through? And what's kind of the most effective? Maybe that's a better question. What's the more effective place for them to report through? >> It's a little bit all over the map. There is not a standard. For example, a couple of clients, at Qualcomm, our equivalent in digital transformation is head of application, and he reports to the CIO. >> Jeff: Okay. >> So that's pretty traditional. Often the CIO is chartered with digital transformation for obvious reasons. He has the skillset, he has the team, he has the capability. But, I've seen cases where he or she reports to the CEO. >> Okay. >> Which is even more interesting I think because then it put an emphasis on the importance of the program and the importance of the targets associated with this program. So another client of ours airborne in Texas is actually the CMO and head of sales who reports to the CEO and is also in charge of digital transformation. And we are helping him with some cust-- >> It has the hat of also sales and marketing? >> Diletta: Absolutely, three jobs. >> So that's pretty interesting. Which is good cause those are the things that are kind of leading edge, front edge, to the client. As opposed to digital transformation just on your back-end processes. System integrators, in both those companies, you just listed as big companies. The system integrators have been building transformation businesses for a long, long time. How do they fit? How do you work with them? How does that kind of all come together around the project? >> Yep, so Qualcomm for example, you can see pretty much any single system integrator that you can imagine of. And they all have a portion of the transformation. >> Jeff: Right. >> None of them covers the entire scope. >> Jeff: Right. >> And the interesting portion as well is that because they are all competitors, often there is not a lot of collaboration. And then we are a little bit kind of agnostic, but obviously we have an interest in penetrating the account in terms of making the use of our technology. >> Right. >> So it's in our interest in what I'm trying to do, obviously I come from the system integrator world, so I do speak their language. And what we are trying to do is to work with them to make sure that we understand, were there use cases, were there business cases, and we kind of work together across different objective to enable the client to hopefully be digitally transformed. >> Right, so it's such a big word and the CEOs are talking to the boards about it and the public companies are talking to the analysts on the earnings call. We're going to digitally transform, and these are big organizations that are complex and have many, many pieces and parts. How do you get started? What are some best practices for people that have a board edict, or have a CEO edict? We need to digitally transform, I'm afraid of the competition, I don't even know who's coming. Where should people start, how do they slice and dice this thing so their not trying to eat the whole elephant in one bite? >> Yeah, the only cases that I've seen success on are the ones where, hopefully the leader has done that before. In some kind of shape or form. If it's a brand new chief digital officer, there are more challenges. But the most important thing is kind of keep the momentum. And you tend to keep the momentum through some sort of quick-wing. So if the scope is too large, and the roadmap is to fix over three or five years given the speed of change in technology is very difficult to achieve those goals. >> Jeff: Right. >> So it's much better to have a more agile mentality and maybe plan a year ahead. We did some very tangible, deliverable in the way and mobilize everyone around this. So that the momentum is kept and it's not just a nice word that a company has because they need to talk about the digital transformation. >> Right, and then what do you look at? You obviously have a specific point of view. You have your background and you've been a system integrator, and transformation leader. But in terms of coming from the SnapLogic point of view and integration, and that opportunity, What do you look for as opportunities for those early wins? Either based on prior experience or you just know there's some really inefficient ugly things that you can make big difference on, relatively easy. What do you look for as kind of those first wins in a digital transformation project? >> Yeah, ideally we love to be involved with everything to do with customer and sales and revenue. Because obviously those are the biggest paying point for the client. >> Jeff: Right. >> But often, you need to be flexible enough to understand what the priorities are. Currently I am involved in a much more traditional close activity accounting process. You will be thinking, okay, this may cost us, but actually fixing that problem first will create a lot of credibility within the company. So I think a company like ours has to be very flexible, need to listen to the client. >> Mh-hm. >> And be very flexible in terms of what priorities to start with first. >> Right. >> To prove the technology and then progress, maybe for higher value-- >> Right. >> activities. >> So I would hope it's 2018, that people understand that they're not setting forth on a five-year SAP, ERP implementation. Are we hopefully passed that, that this is not new information. That you need to take small bites, small victories, and move quickly. >> Yeah. >> Are we there? >> Yes but, still, I've seen a lot of strategy document and business plan that are two, three years of arisen and I think the arisen is way too long. But also at the same time, is this still teaching function? So you ask to picture a vision, at least directionally. >> Right. Right. >> So I think the vision has to be generic enough to then flex with the project and the activities within. >> Right. >> Two, three months. >> Right. >> Quarterly on most occasions. >> It's so funny that we continue to find these massive inefficiencies all over the place. You'd think that most of it had been wrung out by now. Between the European PA Limitations and all the business process reengineering, I guess was the old process >> Yes. >> before digital transformation. So I just wonder if you can share some stories from the field about some of these relatively short duration projects, and the yields that they are providing on this path to a more comprehensive digital transformation. >> Yeah so, the first example that comes to mind, again, going back to Qualcomm. When they talk about human capital management or engineering, what is interesting there is that you take the entire hire to retire. And it's pretty overwhelming. From the moment you hire an employee to the moment you obviously retire their function or their role, And what they did quite interestingly, was to come up with a few applications that will make the life of the employees and their manager easier. So we are biting the process by building application that for example, enable to facilitate the on-boarding or application that help HR with analytics and inquires. And gradually trying to automate the process which today even in a large company like a Fortune 100 company can be incredibly manual. >> Right. Right. >> And then another example that comes to mind to me is if you look at the entire holder to cash cycle of a company, from the moment the client to get in contact with the company through a website, to the moment they actually purchase the product. Again, there are many touch point and they're often disconnected. And a client of ours, Airborne, what we're doing with them is to just take one small bite which is figuring out from the time a client tried to configure a product on the website to the time they want to try the product. Our experience can be more automated. So that there is not a lot of interaction necessarily with customer services which has a limited bandwidth. But it's much more self-service. >> Jeff: Right. Right. >> And then gradually tackle the rest of the holder to cash cycle. >> So both of those examples are really about automating manual processes. >> Diletta: Yeah. >> As you just described them. So then what are the KPIs that you're using to measure success? Is it total time duration? Number of steps? Calls back to a person? What are some of the metrics of success? >> Yeah, so you see on the customers side it's kind of easy because you tend to very much require feedback from the customer. So if the customer satisfaction index goes up, or revenue goes up, or less return. So those KPIs we're kind of more familiar with. >> Okay. >> But when you look at the HR award, the human capital management award, there are so many ramifications of being able to serve your employees better. But much more intangible. Like for example, turnover. Well there is good turnover and bad turnover. So if you're serving your employees better with better hours, by which they can self-service some of their activities. Does it translate in less turnover? Maybe yes, or maybe actually that's translating more turnover because maybe the employees that sneak around are the ones that are more technology savvy, so. >> Right. >> Diletta: The human capital management side is harder in terms of defining KPIs. In it's much more early stage then anything to do with customer. And then there is the other universe associated with digitalizing product. Like for example, the world of IOT. That we are involved with, with a few clients. And that is a very measurable and tangible because you actually coming up with new product and what we're doing is facilitating the ability to access data. >> Jeff: Right. >> Which is a very tangible element of the product development lifecycle. >> So of all the transformation projects that you're involved in, how would you break them down in rough numbers of kind of cost savings on an existing process, which is through automation. Versus kind of forward facing customer facing, let's just call it warpped around a customer experience so ultimately you're getting higher customer satisfaction scores and revenue. Versus the third which you just touched on, which is so, so important. Which is converting from a product based company or some of these more tangible into more of a service recurring revenue. That's probably built around that product and the example that gets thrown around all the time is, when GE starts selling miles of propulsion versus selling engines. It's a very different kind of relationship. So in the things that you work on, how would you kind of break up the percentages in those three buckets? >> Yeah, so what we see still a lot, and what I would like to see less, is the first bucket. >> Jeff: Okay. >> Which is reducing cost so I will save more than 50%. >> Jeff: Okay. >> Which is around reduce cost, drive efficiency, better reporting, eliminating application, right? Because many client have too many application to preform some of these back office processes. >> Right. Right. >> And they're very much associated with cost exercise. >> Right. >> And so over 50%, for sure. >> Okay. And that's logical cause that's obviously an easy place to start. You're not changing the company per se. >> Yeah. >> You're looking for efficiencies. Alright so, Diletta, I'll give you the last word before we sign off. If you get called in to a new project, it's a CEO, they're stressed out, they know they have to do this. What do you tell them about digital transformation? How do you kind of help them break it down so it's not just this overwhelming, giant, goal on high? But actually something that they should get excited about, something they can have some success with and something that ultimately is going to be a really good thing. >> I think there is no one recipe. It's about figuring out where the company wants to go. What is the primary objective? Is it sales? Is it new market? Is it new product? And then kind of break it down in a tangible chunck and it kind of makes sense to them. But you got to go for the first priority item. This year I'm sure we'll be able to articulate very well. >> Yes, get that quick win. Well Diletta, thanks for spending a few minutes with us. And good luck on transforming everybody. (laughs) >> Thank you. >> Alright, she's Diletta, I'm Jeff. You're watching theCUBE, from SnapLogic headquarters in San Mateo, California. Thanks for watching. (bright music)

Published Date : May 21 2018

SUMMARY :

brought to you by SnapLogic. And that's not the case here at SnapLogic. have a Head of Digital Transformation? Yeah absolutely, because integration is at the core in the strategic discussion so that the implementation We hear it all the time, So when you sit down with someone the chief of digital officer. What's the more effective place for them to report through? head of application, and he reports to the CIO. Often the CIO is chartered with digital and the importance of the targets kind of leading edge, front edge, to the client. that you can imagine of. And the interesting portion as well is that to make sure that we understand, were there use cases, on the earnings call. So if the scope is too large, and the roadmap is to fix So that the momentum is kept and it's not just Right, and then what do you look at? to do with customer and sales and revenue. So I think a company like ours has to be very flexible, priorities to start with first. That you need to take small bites, small victories, But also at the same time, is this still teaching function? Right. to then flex with the project and the activities within. Between the European PA Limitations and all the So I just wonder if you can share some stories Yeah so, the first example that comes to mind, Right. of a company, from the moment the client to get in contact Jeff: Right. of the holder to cash cycle. So both of those examples are really What are some of the metrics of success? So if the customer satisfaction index goes up, that sneak around are the ones that the ability to access data. of the product development lifecycle. So in the things that you work on, and what I would like to see less, is the first bucket. to preform some of these back office processes. Right. You're not changing the company per se. What do you tell them about digital transformation? and it kind of makes sense to them. And good luck on transforming everybody. in San Mateo, California.

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Diletta D’Onofrio, SnapLogic | SnapLogic Innovation Day 2018


 

>> Announcer: From San Mateo, California, it's theCUBE covering SnapLogic Innovation Day 2018, brought to you by SnapLogic. >> Hey, welcome back, Jeff Frick here with theCUBE. We're at the Crossroads 101 and 92. You've probably been there. You're probably stuck in traffic. Look up, you'll see the sign SnapLogic. That's where we are. We're talking digital transformation. You've probably heard us talk about digital transformation on theCUBE, but not that many people or, excuse me, companies actually have an executive who's in charge of digital transformation. And that's not the case here at SnapLogic. And we're really excited to have our next guest. She's Diletta D'Onofrio, and she's the Head of Digital Transformation for SnapLogic. Welcome. >> Thank you, thank you for inviting me. >> Absolutely, so why does SnapLogic have a Head of Digital Transformation? I've never heard that for a company, and you're not really running digital transformation inside the company. You're helping your customers' digital transformation journey. >> Yeah absolutely, because integration is at the core of many transformations that we see led by our clients. And it's not about implementing a software for the most part. There's always the people processing technology. >> Jeff: Right, right. >> So what we are trying to do is to insert ourselves in the strategic discussion so that the implementation is more solid and secure. >> Right, right. >> And, so that's the intent of our practice. >> Right, and as you said, people process technology. We hear it all the time, and we hear a lot, too, of best practices in digital transformation is you have to make a commitment to that process change. You have to make a commitment to the people change. That's actually the hardest part. >> Diletta: Yeah. >> I think integration, usually, no one really wants to talk about integration up front because that's that hard little piece that we have to worry about down the road, but let's just not pretend that we have to do that. But as you said, that's a really important piece. It's tying all these systems together. So, you've been helping people with digital transformation here and in some of your prior jobs. So when you sit down with someone who's never heard that term, what do you tell them? What is digital transformation? >> So typically, we're pretty fortunate because I think especially Nytec here in the valley, there are many clients that have a role which is equivalent to mine and is focused internally on digital transformation. So there either the head of digital transformation, the chief of digital officer. And what we typically do with them is to try to figure out what their plans are and participate to their journey by obviously helping from an integration perspective. >> Jeff: Right. >> Both on the application and data side. >> And where do there usually report at? It's always an interesting conversation because we go to chief data officer events. We go to chief analytics officer events. So you've got kind of these new evolving roles that are really built around data and enabling data and becoming a data driven enterprise. But does it report to the CIO? Does it report to the CTO? Does it report to up through the CEO? And then now you've got this role of people kind of heading up the digital transformation. Where do you see them reporting through? And what's kind of the most effective? Maybe that's a better question. What's the more effective place for them to report through? >> It's a little bit all over the map. There is not a standard. For example, a couple of clients, at Qualcomm, our equivalent in digital transformation is head of application, and he reports to the CIO. >> Jeff: Okay. >> So that's pretty traditional. Often the CIO is chartered with digital transformation for obvious reasons. He has the skillset, he has the team, he has the capability. But, I've seen cases where he or she reports to the CEO. >> Okay. >> Which is even more interesting I think because then it put an emphasis on the importance of the program and the importance of the targets associated with this program. So another client of ours airborne in Texas is actually the CMO and head of sales who reports to the CEO and is also in charge of digital transformation. And we are helping him with some cust-- >> It has the hat of also sales and marketing? >> Diletta: Absolutely, three jobs. >> So that's pretty interesting. Which is good cause those are the things that are kind of leading edge, front edge, to the client. As opposed to digital transformation just on your back-end processes. System integrators, in both those companies, you just listed as big companies. The system integrators have been building transformation businesses for a long, long time. How do they fit? How do you work with them? How does that kind of all come together around the project? >> Yep, so Qualcomm for example, you can see pretty much any single system integrator that you can imagine of. And they all have a portion of the transformation. >> Jeff: Right. >> None of them covers the entire scope. >> Jeff: Right. >> And the interesting portion as well is that because they are all competitors, often there is not a lot of collaboration. And then we are a little bit kind of agnostic, but obviously we have an interest in penetrating the account in terms of making the use of our technology. >> Right. >> So it's in our interest in what I'm trying to do, obviously I come from the system integrator ward so I do speak their language. And what we are trying to do is to work with them to make sure that we understand, were there use cases, were there business cases, and we kind of work together across different objective to enable the client to hopefully be digitally transformed. >> Right, so it's such a big word and the CEOs are talking to the boards about it and the public companies are talking to the analysts on the earnings call. We're going to digitally transform, and these are big organizations that are complex and have many, many pieces and parts. How do you get started? What are some best practices for people that have a board edict, or have a CEO edict? We need to digitally transform, I'm afraid of the competition, I don't even know who's coming. Where should people start, how do they slice and dice this thing so their not trying to eat the whole elephant in one bite? >> Yeah, the only cases that I've seen success on are the ones where, hopefully the leader has done that before. In some kind of shape or form. If it's a brand new chief digital officer, there are more challenges. But the most important thing is kind of keep the momentum. And you tend to keep the momentum through some sort of quick-wing. So if the scope is too large, and the roadmap is to fix over three or five years given the speed of change in technology is very difficult to achieve those goals. >> Jeff: Right. >> So it's much better to have a more agile mentality and maybe plan a year ahead. We did some very tangible, deliverable in the way and mobilize everyone around this. So that the momentum is kept and it's not just a nice word that a company has because they need to talk about the digital transformation. >> Right, and then what do you look at? You obviously have a specific point of view. You have your background and you've been a system integrator, and transformation leader. But in terms of coming from the SnapLogic point of view and integration, and that opportunity, What do you look for as opportunities for those early wins? Either based on prior experience or you just know there's some really inefficient ugly things that you can make big difference on, relatively easy. What do you look for as kind of those first wins in a digital transformation project? >> Yeah, ideally we love to be involved with everything to do with customer and sales and revenue. Because obviously those are the biggest paying point for the client. >> Jeff: Right. >> But often, you need to be flexible enough to understand what the priorities are. Currently I am involved in a much more traditional close activity accounting process. You will be thinking, okay, this may cost us, but actually fixing that problem first will create a lot of credibility within the company. So I think a company like ours has to be very flexible, need to listen to the client. >> Mh-hm. >> And be very flexible in terms of what priorities to start with first. >> Right. >> To prove the technology and then progress, maybe for higher value-- >> Right. >> activities. >> So I would hope it's 2018, that people understand that they're not setting forth on a five-year SAP, ERP implementation. Are we hopefully passed that, that this is not new information. That you need to take small bites, small victories, and move quickly. >> Yeah. >> Are we there? >> Yes but, still, I've seen a lot of strategy document and business plan that are two, three years of arisen and I think the arisen is way too long. But also at the same time, is this still teaching function? So you ask to picture a vision, at least directionally. >> Right. Right. >> So I think the vision has to be generic enough to then flex with the project and the activities within. >> Right. >> Two, three months. >> Right. >> Quarterly on most occasions. >> It's so funny that we continue to find these massive inefficiencies all over the place. You'd think that most of it had been wrung out by now. Between the European PA Limitations and all the business process reengineering, I guess was the old process >> Yes. >> before digital transformation. So I just wonder if you can share some stories from the field about some of these relatively short duration projects, and the yields that they are providing on this path to a more comprehensive digital transformation. >> Yeah so, the first example that comes to mind, again, going back to Qualcomm. When they talk about human capital management or engineering, what is interesting there is that you take the entire hire to retire. And it's pretty overwhelming. From the moment you hire an employee to the moment you obviously retire their function or their role, And what they did quite interestingly, was to come up with a few applications that will make the life of the employees and their manager easier. So we are biting the process by building application that for example, enable to facilitate the on-boarding or application that help HR with analytics and inquires. And gradually trying to automate the process which today even in a large company like a fortune 100 company can be incredibly manual. >> Right. Right. >> And then another example that comes to mind to me is if you look at the entire holder to cash cycle of a company, from the moment the client to get in contact with the company through a website, to the moment they actually purchase the product. Again, there are many touch point and they're often disconnected. And a client of ours, Airborne, what we're doing with them is to just take one small bite which is figuring out from the time a client tried to configure a product on the website to the time they want to try the product. Our experience can be more automated. So that there is not a lot of interaction necessarily with customer services which has a limited bandwidth. But it's much more self-service. >> Jeff: Right. Right. >> And then gradually tackle the rest of the holder to cash cycle. >> So both of those examples are really about automating manual processes. >> Diletta: Yeah. >> As you just described them. So then what are the KPIs that you're using to measure success? Is it total time duration? Number of steps? Calls back to a person? What are some of the metrics of success? >> Yeah, so you see on the customers side it's kind of easy because you tend to very much require feedback from the customer. So if the customer satisfaction index goes up, or revenue goes up, or less return. So those KPIs we're kind of more familiar with. >> Okay. >> But when you look at the HR award, the human capital management award, there are so many ramifications of being able to serve your employees better. But much more intangible. Like for example, turnover. Well there is good turnover and bad turnover. So if you're serving your employees better with better hours, by which they can self-service some of their activities. Does it translate in less turnover? Maybe yes, or maybe actually that's translating more turnover because maybe the employees that sneak around are the ones that are more technology savvy, so. >> Right. >> Diletta: The human capital management side is harder in terms of defining KPIs. In it's much more early stage then anything to do with customer. And then there is the other universe associated with digitalizing product. Like for example, the world of IOT. That we are involved with, with a few clients. And that is a very measurable and tangible because you actually coming up with new product and what we're doing is facilitating the ability to access data. >> Jeff: Right. >> Which is a very tangible element of the product development lifecycle. >> So of all the transformation projects that you're involved in, how would you break them down in rough numbers of kind of cost savings on an existing process, which is through automation. Versus kind of forward facing customer facing, let's just call it warpped around a customer experience so ultimately you're getting higher customer satisfaction scores and revenue. Versus the third which you just touched on, which is so, so important. Which is converting from a product based company or some of these more tangible into more of a service recurring revenue. That's probably built around that product and the example that gets thrown around all the time is, when GE starts selling miles of propulsion versus selling engines. It's a very different kind of relationship. So in the things that you work on, how would you kind of break up the percentages in those three buckets? >> Yeah, so what we see still a lot, and what I would like to see less, is the first bucket. >> Jeff: Okay. >> Which is reducing cost so I will save more than 50%. >> Jeff: Okay. >> Which is around reduce cost, drive efficiency, better reporting, eliminating application, right? Because many client have too many application to preform some of these back office processes. >> Right. Right. >> And they're very much associated with cost exercise. >> Right. >> And so over 50%, for sure. >> Okay. And that's logical cause that's obviously an easy place to start. You're not changing the company per se. >> Yeah. >> You're looking for efficiencies. Alright so, Diletta, I'll give you the last word before we sign off. If you get called in to a new project, it's a CEO, they're stressed out, they know they have to do this. What do you tell them about digital transformation? How do you kind of help them break it down so it's not just this overwhelming, giant, goal on high? But actually something that they should get excited about, something they can have some success with and something that ultimately is going to be a really good thing. >> I think there is no one recipe. It's about figuring out where the company wants to go. What is the primary objective? Is it sales? Is it new market? Is it new product? And then kind of break it down in a tangible chunck and it kind of makes sense to them. But you got to go for the first priority item. This year I'm sure we'll be able to articulate very well. >> Yes, get that quick win. Well Diletta, thanks for spending a few minutes with us. And good luck on transforming everybody. (laughs) >> Thank you. >> Alright, she's Diletta, I'm Jeff. You're watching theCUBE, from SnapLogic headquarters in San Mateo, California. Thanks for watching. (bright music)

Published Date : May 19 2018

SUMMARY :

brought to you by SnapLogic. And that's not the case here at SnapLogic. have a Head of Digital Transformation? integration is at the core so that the implementation And, so that's the We hear it all the time, So when you sit down with someone here in the valley, But does it report to the CIO? It's a little bit all over the map. Often the CIO is chartered with digital and the importance of the targets are the things that are of the transformation. And the interesting do is to work with them about it and the public and the roadmap is to fix So that the momentum is But in terms of coming from the SnapLogic to do with customer and sales and revenue. to understand what the priorities are. priorities to start with first. That you need to take small But also at the same time, is Right. and the activities within. Limitations and all the and the yields that they From the moment you hire an employee Right. the client to get in contact Jeff: Right. of the holder to cash cycle. So both of those examples are really What are some of the metrics of success? So if the customer that sneak around are the ones that the ability to access data. of the product development lifecycle. So in the things that you work on, less, is the first bucket. Which is reducing cost so to preform some of these Right. And they're very much You're not changing the company per se. know they have to do this. and it kind of makes sense to them. And good luck on transforming everybody. in San Mateo, California.

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Mark Falto & Dan Savarese | Red Hat Summit 2018


 

>> Narrator: Live from San Francisco, it's theCUBE. Covering Red Hat Summit 2018. Brought to you by Red Hat. >> And welcome back once again to theCUBE. We're here live and open in this open-source conference, Red Hat Summit 2018 here in Moscone Center in San Francisco. My name's John Troyer. We are coming close to the end of the day three of Red Hat Summit. Been here, catching all the live coverage on theCUBE.net. Great to have with us: our two guests here from UPS, Innovation Award winners here at the show, gentlemen, welcome. >> Thank you. >> Thank you. >> Mark Falto and Dan Savarese. So, welcome folks. So, we're going to talk about your journey to using OpenShift, how you guys picked it, what you guys stood up, and as we were just kind of, I saw the on-stage story, and as I was just talking to you now before we went live, I'm just so impressed by the time to market, time to value, that you guys were able to achieve. You and your teams. Which, if you think about it is really, the fact that this is a real story, and it's not just a marketing example is really great. We're living, and sometimes I wake up and I say we're living in wonderful times in 2018. So, Dan, kind of set the stage for us. You are a principal infrastructure architect, you're one of the folks that helped bring the system in, you were already Red Hat Linux ... >> Yes we were. >> ... users, but what were you looking at as you were trying to make this decision, and what were some of the drivers to bring OpenShift in-house? >> Well, we knew we wanted to go cloud, but we weren't sure whether it was public or private, so we felt that in order to start the transformation to cloud we should really focus on private. These boundaries to get that up and running, and a way to modernize our applications to be cloud ready. So that was the goal when we set this up. We had a very tight timeline, we had applications that wanted to go cloud, so we made the decision... >> Mark Falto: (mumbles) was knocking at the door. >> Everybody was knocking at the door. Right, so it was a matter of just what did we want to do? Like anything, we viewed a number of different private cloud solutions, and we really liked OpenShift because of it's flexibility, it's open-source capabilities, and the fact that it was... docket containers, which was our container strategy going forward, which we wanted to use. >> Was this the beginning of your container strategy? Had you been using them before? >> No, we hadn't been using them before. We just made the decision, prior to making the cloud decision, that we wanted to go containers and docket with the containers that we wanted to use. >> So, you some sort of evaluation, you say you know, this seems like something worth happening. In the olden days, we'd go off and you'd do some sort of POC, and you'd spend a couple months doing that, and then you'd look at it, and what are the toy projects? >> Dan Savarese: Right, yeah. >> You guys wanted to actions, so can you talk a little bit about that and the timeline there? >> Right, so we made the decision in late fall 2016 to do this. My team runs all the infrastructure, architecture, so we work with the applications to design new architectures for them, and basically we started working with Red Hat on success criteria that we established for the product, and then once we got through that we started having sessions with Red Hat and using collaborative dev ops approach with everybody in your organization who'd be affected by this private cloud we're putting in. So Mark, our info sec folks, our networking folks. We were on a very tight timeline, we had an application wanting to go quickly as possible, and they wanted to be up and running in like the late spring, early summer timeframe, so they didn't give us much time. So, a lot of work and effort into figuring out how we wanted our architects OpenShift for, not only to be operationally successful for us, but from an application perspective. So, it was important we do this in a collaborative manner, and get everybody's input in doing that. >> Yeah, that's something that's going to be interesting to dip into, right, because you can't just turn on speed like that. As I've been kind of jokingly referring to, right, you have to turn into kind of a dev ops in an agile organization. Even at the infrastructure layer. >> [Dan Savarese} Yep. >> So, Mark, within a few months you've got OpenShift up and running. Now you've got to put some apps on it. These are not new apps. You have all your existing portfolios still having to run, but so, yeah, what were you looking at putting up there, and how did you approach that in terms of native practice. >> Our strategy was to take new applications. We're trying to find app teams that we thought had at least a sophisticated enough process that they could take on the automation that we really wanted to drive with the platform as well, right? It was not just containerization, but the transformation in dev process that came with that. So it's get a pipeline in place. Understand how to use Jenkins, how to use the plugins that are necessary to make that happen. You need the right app teams that are ready to take that on. We had an example application as part of our edge initiative called Sipe, which that team we thought was ready to take this on, it was the only way we were really going to meet their timelines, too. So we worked with them for a number of weeks, and not just us, but we also had Red Hat partners helping us too, to freely build out the automation for the pipelines, get an example running for their complete automated pipeline. >> Right, so can you describe a little bit what it does? It's a business line app to help managers do some decision making and planning. >> Yeah, it's a decision assistance application for supervisors at hub facilities where, you know, where you move packages. >> Okay, so real business impact. Before, they had, I don't know what they were... Either papers, or... >> Most of it was manual processes, and it wasn't like the speed to market. The information wasn't real-time, so Sipe was all about driving real-time decisions in the field. >> Right, right, so it must have had an immediate impact, then. So, it sounds like you were up, and then also within a few months of it. >> Yes. Yeah, yeah. I mean, we're able to get at least a pipeline going within weeks for them, and that demonstrates the capacity to get yourself to production, right? And then, they're in production within a number of months after that. A couple of months after that. >> Yeah, that's great, and I'm assuming you'd then be able to revise it and kind of improve the functionality since. That and some other apps. >> Mark Falto: Yep, yep, yeah. >> Was that a big shift for you and your developers, to kind of get to this stance, of frequent releases and a pipeline? >> Yeah, it's a huge process shift, it's a cultural shift for app teams, they have more capability from the infrastructure than they have ever had before. So, they now have tools to deliver much faster than they're used to, so they change their team structures to help us facilitate that. They bring in Red Hat or other consultants to help them backfill their skillsets, so it's big transformation, yeah. >> Nice, nice. Now, I wanted to explore a little bit. One word you hear a lot here: hybrid cloud, multi cloud, we've been hearing that a lot this week. This particular app runs on Prem, right? >> Dan Savarese: Runs on Prem, yes. >> Let's make sure we it right, on PremiSys. >> Dan Savarese: On PremiSys, right. It runs actually, between today at the centers. >> Yeah, I'll get extra bonus points for that. But, as a portfolio that you have to manage, your IT department and infrastructure, UPS does take advantage of different clouds and different code running and different places, as well as sas and everything else, I'm sure. Can you talk a little bit about to portfolio? >> Sure, so we have a wide variety, as companies as large as UPS, you can imagine we have a lot of IT solutions. We leverage all of them to our benefits, so we have past solutions in the cloud, a lot of analytic stuff that we'll do out there, and we also have a lot of sas solutions that we use to do different various works across our organization. So, we are using cloud in multiple ways. Out next journey is hybrid cloud. How do we take OpenShift now, 'cause what we have is a situation where we need a lot of processing power for what we call out peak season, Christmas of course, right, but when we size today on OnPrem we size for that peak season. So, the challenge is for us now is how can we use OnPrem for, say, nine months out of the year, then expand into the cloud for peak season, reduce cost, and then drop that down after we're done with peak season? To really drive us really efficiently from across the spectrum. >> Right, right, right, and obviously OpenShift is going to be a probably key element to that. >> Dan Savarese: It is a key element. It is a key element. >> Yeah. You know, this only took a, this journey was, if you just look at the timeline we just talked about, really only a few months, and it seems like this was kind of a corner-turn for your engineering organization. I mean, is that inaccurate? >> I would say so, both from an infrastructure perspective, the biggest thing when you run a common environment, which we do in OpenShift, in other common environments you have no control over how the applications affect one another. For us, what we like about OpenShift, it gives us that capability, so application 'A' doesn't step on application 'B'. And, I think, for us, it just made our lives a lot easier from an operational perspective for that reason. >> Right, it wasn't about the tool, but the tool helped enable the processes, and then that yielded the time to market and time to value. >> Yeah, and from an app side, building these new architectures really requires containerization. It requires the automations, so we can't attack the proper microservice patterns and practices really without OpenShift as a platform underneath it. It's foundational. >> And I'd like to stress the fact that it really was all of us knew we had to get something done. We all came together. There was no... The silos were merely broken down. We knew we had a mission to get through, we knew had something to get done in a short period of time, and we just came together in such a strong, collaborative way of driving the solution. >> Wow, that's great, and congratulations. Innovation Award here at the show, it's been a great week here at Red Hat Summit. So, Mark Falto, Dan Savarese from UPS. Congrats, and thanks for being here on theCube. >> Well, thank you John. >> All right. Well we are here live in San Francisco. We are finishing up day three. We'll be back after a short break, and all of our live coverage of Red Hat Summit on theCube. (light percussive music)

Published Date : May 10 2018

SUMMARY :

Brought to you by Red Hat. We are coming close to the end of I'm just so impressed by the time to market, ... users, but what were you looking at so we felt that in order to start the and we really liked OpenShift because of it's flexibility, the cloud decision, that we wanted to So, you some sort of evaluation, and then once we got through that Yeah, that's something that's going to be and how did you approach that in terms of native practice. and not just us, but we also had Right, so can you describe a where, you know, where you move packages. Okay, so real business impact. and it wasn't like the speed to market. So, it sounds like you were up, and that demonstrates the capacity and kind of improve the functionality since. the infrastructure than they have ever had before. One word you hear a lot here: hybrid cloud, Dan Savarese: On PremiSys, right. But, as a portfolio that you have to manage, and we also have a lot of sas solutions OpenShift is going to be a probably key element to that. Dan Savarese: It is a key element. at the timeline we just talked about, the biggest thing when you run and then that yielded the time to market and time to value. so we can't attack the proper it really was all of us knew we had to get something done. Innovation Award here at the show, Well we are here live in San Francisco.

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Red Hat Summit 2018 | Day 2 | AM Keynote


 

[Music] [Music] [Music] [Music] [Music] [Music] that will be successful in the 21st century [Music] being open is really important because it comes with a lot of trust the open-source community now has matured so much and that contribution from the community is really driving innovation [Music] but what's really exciting is the change that we've seen in our teams not only the way they collaborate but the way they operate in the way they work [Music] I think idea is everything ideas can change the way you see things open-source is more than a license it's actually a way of operating [Music] ladies and gentlemen please welcome Red Hat president and chief executive officer Jim Whitehurst [Music] all right well welcome to day two at the Red Hat summit I'm amazed to see this many people here at 8:30 in the morning given the number of people I saw pretty late last night out and about so thank you for being here and have to give a shout out speaking of power participation that DJ is was Mike Walker who is our global director of open innovation labs so really enjoyed that this morning was great to have him doing that so hey so day one yesterday we had some phenomenal announcements both around Red Hat products and things that we're doing as well as some great partner announcements which we found exciting I hope they were interesting to you and I hope you had a chance to learn a little more about that and enjoy the breakout sessions that we had yesterday so yesterday was a lot about the what with these announcements and partnerships today I wanted to spin this morning talking a little bit more about the how right how do we actually survive and thrive in this digitally transformed world and to some extent the easy parts identifying the problem we all know that we have to be able to move more quickly we all know that we have to be able to react to change faster and we all know that we need to innovate more effectively all right so the problem is easy but how do you actually go about solving that right the problem is that's not a product that you can buy off the shelf right it is a capability that you have to build and certainly it's technology enabled but it's also depends on process culture a whole bunch of things to figure out how we actually do that and the answer is likely to be different in different organizations with different objective functions and different starting points right so this is a challenge that we all need to feel our way to an answer on and so I want to spend some time today talking about what we've seen in the market and how people are working to address that and it's one of the reasons that the summit this year the theme is ideas worth it lorring to take us back on a little history lesson so two years ago here at Moscone the theme of the summit was the power of participation and then I talked a lot about the power of groups of people working together and participating are able to solve problems much more quickly and much more effectively than individuals or even individual organizations working by themselves and some of the largest problems that we face in technology but more broadly in the world will ultimately only be solved if we effectively participate and work together then last year the theme of the summit was the impact of the individual and we took this concept of participation a bit further and we talked about how participation has to be active right it's a this isn't something where you can be passive that you can sit back you have to be involved because the problem in a more participative type community is that there is no road map right you can't sit back and wait for an edict on high or some central planning or some central authority to tell you what to do you have to take initiative you have to get involved right this is a active participation sport now one of the things that I talked about as part of that was that planning was dead and it was kind of a key my I think my keynote was actually titled planning is dead and the concept was that in a world that's less knowable when we're solving problems in a more organic bottom-up way our ability to effectively plan into the future it's much less than it was in the past and this idea that you're gonna be able to plan for success and then build to it it really is being replaced by a more bottom-up participative approach now aside from my whole strategic planning team kind of being up in arms saying what are you saying planning is dead I have multiple times had people say to me well I get that point but I still need to prepare for the future how do I prepare my organization for the future isn't that planning and so I wanted to spend a couple minutes talk a little more detail about what I meant by that but importantly taking our own advice we spent a lot of time this past year looking around at what our customers are doing because what a better place to learn then from large companies and small companies around the world information technology organizations having to work to solve these problems for their organizations and so our ability to learn from each other take the power of participation an individual initiative that people and organizations have taken there are just so many great learnings this year that I want to get a chance to share I also thought rather than listening to me do that that we could actually highlight some of the people who are doing this and so I do want to spend about five minutes kind of contextualizing what we're going to go through over the next hour or so and some of the lessons learned but then we want to share some real-world stories of how organizations are attacking some of these problems under this how do we be successful in a world of constant change in uncertainty so just going back a little bit more to last year talking about planning was dead when I said planning it's kind of a planning writ large and so that's if you think about the way traditional organizations work to solve problems and ultimately execute you start off planning so what's a position you want to get to in X years and whether that's a competitive strategy in a position of competitive advantage or a certain position you want an organizational function to reach you kind of lay out a plan to get there you then typically a senior leaders or a planning team prescribes the sets of activities and the organization structure and the other components required to get there and then ultimately execution is about driving compliance against that plan and you look at you say well that's all logical right we plan for something we then figure out how we're gonna get there we go execute to get there and you know in a traditional world that was easy and still some of this makes sense I don't say throw out all of this but you have to recognize in a more uncertain volatile world where you can be blindsided by orthogonal competitors coming in and you the term uber eyes you have to recognize that you can't always plan or know what the future is and so if you don't well then what replaces the traditional model or certainly how do you augment the traditional model to be successful in a world that you knows ambiguous well what we've heard from customers and what you'll see examples of this through the course of this morning planning is can be replaced by configuring so you can configure for a constant rate of change without necessarily having to know what that change is this idea of prescription of here's the activities people need to perform and let's lay these out very very crisply job descriptions what organizations are going to do can be replaced by a greater degree of enablement right so this idea of how do you enable people with the knowledge and things that they need to be able to make the right decisions and then ultimately this idea of execution as compliance can be replaced by a greater level of engagement of people across the organization to ultimately be able to react at a faster speed to the changes that happen so just double clicking in each of those for a couple minutes so what I mean by configure for constant change so again we don't know exactly what the change is going to be but we know it's going to happen and last year I talked a little bit about a process solution to that problem I called it that you have to try learn modify and what that model try learn modify was for anybody in the app dev space it was basically taking the principles of agile and DevOps and applying those more broadly to business processes in technology organizations and ultimately organizations broadly this idea of you don't have to know what your ultimate destination is but you can try and experiment you can learn from those things and you can move forward and so that I do think in technology organizations we've seen tremendous progress even over the last year as organizations are adopting agile endeavor and so that still continues to be I think a great way for people to to configure their processes for change but this year we've seen some great examples of organizations taking a different tack to that problem and that's literally building modularity into their structures themselves right actually building the idea that change is going to happen into how you're laying out your technology architectures right we've all seen the reverse of that when you build these optimized systems for you know kind of one environment you kind of flip over two years later what was the optimized system it's now called a legacy system that needs to be migrated that's an optimized system that now has to be moved to a new environment because the world has changed so again you'll see a great example of that in a few minutes here on stage next this concept of enabled double-clicking on that a little bit so much of what we've done in technology over the past few years has been around automation how do we actually replace things that people were doing with technology or augmenting what people are doing with technology and that's incredibly important and that's work that can continue to go forward it needs to happen it's not really what I'm talking about here though enablement in this case it's much more around how do you make sure individuals are getting the context they need how are you making sure that they're getting the information they need how are you making sure they're getting the tools they need to make decisions on the spot so it's less about automating what people are doing and more about how can you better enable people with tools and technology now from a leadership perspective that's around making sure people understand the strategy of the company the context in which they're working in making sure you've set the appropriate values etc etc from a technology perspective that's ensuring that you're building the right systems that allow the right information the right tools at the right time to the right people now to some extent even that might not be hard but when the world is constantly changing that gets to be even harder and I think that's one of the reasons we see a lot of traction and open source to solve these problems to use flexible systems to help enterprises be able to enable their people not just in it today but to be flexible going forward and again we'll see some great examples of that and finally engagement so again if execution can't be around driving compliance to a plan because you no longer have this kind of Cris plan well what do leaders do how do organizations operate and so you know I'll broadly use the term engagement several of our customers have used this term and this is really saying well how do you engage your people in real-time to make the right decisions how do you accelerate a pace of cadence how do you operate at a different speed so you can react to change and take advantage of opportunities as they arise and everywhere we look IT is a key enabler of this right in the past IT was often seen as an inhibitor to this because the IT systems move slower than the business might want to move but we are seeing with some of these new technologies that literally IT is becoming the enabler and driving the pace of change back on to the business and you'll again see some great examples of that as well so again rather than listen to me sit here and theoretically talk about these things or refer to what we've seen others doing I thought it'd be much more interesting to bring some of our partners and our customers up here to specifically talk about what they're doing so I'm really excited to have a great group of customers who have agreed to stand in front of 7,500 people or however many here this morning and talk a little bit more about what they're doing so really excited to have them here and really appreciate all them agreeing to be a part of this and so to start I want to start with tee systems we have the CEO of tee systems here and I think this is a great story because they're really two parts to it right because he has two perspectives one is as the CEO of a global company itself having to navigate its way through digital disruption and as a global cloud service provider obviously helping its customers through this same type of change so I'm really thrilled to have a del hasta li join me on stage to talk a little bit about T systems and what they're doing and what we're doing jointly together so Adelle [Music] Jim took to see you Adele thank you for being here you for having me please join me I love to DJ when that fantastic we may have to hire him no more events for events where's well employed he's well employed though here that team do not give him mics activation it's great to have you here really do appreciate it well you're the CEO of a large organization that's going through this disruption in the same way we are I'd love to hear a little bit how for your company you're thinking about you know navigating this change that we're going through great well you know key systems as an ICT service provider we've been around for decades I'm not different to many of our clients we had to change the whole disruption of the cloud and digitization and new skills and new capability and agility it's something we had to face as well so over the last five years and especially in the last three years we invested heavily invested over a billion euros in building new capabilities building new offerings new infrastructures to support our clients so to be very disruptive for us as well and so and then with your customers themselves they're going through this set of change and you're working to help them how are you working to help enable your your customers as they're going through this change well you know all of them you know in this journey of changing the way they run their business leveraging IT much more to drive business results digitization and they're all looking for new skills new ideas they're looking for platforms that take them away from traditional waterfall development that takes a year or a year and a half before they see any results to processes and ways of bringing applications in a week in a month etcetera so it's it's we are part of that journey with them helping them for that and speaking of that I know we're working together and to help our joint customers with that can you talk a little bit more about what we're doing together sure well you know our relationship goes back years and years with with the Enterprise Linux but over the last few years we've invested heavily in OpenShift and OpenStack to build peope as layers to build you know flexible infrastructure for our clients and we've been working with you we tested many different technology in the marketplace and been more successful with Red Hat and the stack there and I'll give you an applique an example several large European car manufacturers who have connected cars now as a given have been accelerating the applications that needed to be in the car and in the past it took them years if not you know scores to get an application into the car and today we're using open shift as the past layer to develop to enable these DevOps for these companies and they bring applications in less than a month and it's a huge change in the dynamics of the competitiveness in the marketplace and we rely on your team and in helping us drive that capability to our clients yeah do you find it fascinating so many of the stories that you hear and that we've talked about with with our customers is this need for speed and this ability to accelerate and enable a greater degree of innovation by simply accelerating what what we're seeing with our customers absolutely with that plus you know the speed is important agility is really critical but doing it securely doing it doing it in a way that is not gonna destabilize the you know the broader ecosystem is really critical and things like GDP are which is a new security standard in Europe is something that a lot of our customers worry about they need help with and we're one of the partners that know what that really is all about and how to navigate within that and use not prevent them from using the new technologies yeah I will say it isn't just the speed of the external but the security and the regulation especially GDR we have spent an hour on that with our board this week there you go he said well thank you so much for being here really to appreciate the work that we're doing together and look forward to continued same here thank you thank you [Applause] we've had a great partnership with tea systems over the years and we've really taken it to the next level and what's really exciting about that is you know we've moved beyond just helping kind of host systems for our customers we really are jointly enabling their success and it's really exciting and we're really excited about what we're able to to jointly accomplish so next i'm really excited that we have our innovation award winners here and we'll have on stage with us our innovation award winners this year our BBVA dnm IAG lasat Lufthansa Technik and UPS and yet they're all working in one for specific technology initiatives that they're doing that really really stand out and are really really exciting you'll have a chance to learn a lot more about those through the course of the event over the next couple of days but in this context what I found fascinating is they were each addressing a different point of this configure enable engage and I thought it would be really great for you all to hear about how they're experimenting and working to solve these problems you know real-time large organizations you know happening now let's start with the video to see what they think about when they think about innovation I define innovation is something that's changing the model changing the way of thinking not just a step change improvement not just making something better but actually taking a look at what already exists and then putting them together in new and exciting lives innovation is about to build something nobody has done before historically we had a statement that business drives technology we flip that equation around an IT is now demonstrating to the business at power of technology innovation desde el punto de vista de la tecnología supone salir de plataform as proprietary as ADA Madero cloud basado an open source it's a possibility the open source que no parameter no sir Kamala and I think way that for me open-source stands for flexibility speed security the community and that contribution from the community is really driving innovation innovation at a pace that I don't think our one individual organization could actually do ourselves right so first I'd like to talk with BBVA I love this story because as you know Financial Services is going through a massive set of transformations and BBVA really is at the leading edge of thinking about how to deploy a hybrid cloud strategy and kind of modular layered architecture to be successful regardless of what happens in the future so with that I'd like to welcome on stage Jose Maria Rosetta from BBVA [Music] thank you for being here and congratulations on your innovation award it's been a pleasure to be here with you it's great to have you hi everybody so Josemaria for those who might not be familiar with BBVA can you give us a little bit of background on your company yeah a brief description BBVA is is a bank as a financial institution with diversified business model and that provides well financial services to more than 73 million of customers in more than 20 countries great and I know we've worked with you for a long time so we appreciate that the partnership with you so I thought I'd start with a really easy question for you how will blockchain you know impact financial services in the next five years I've gotten no idea but if someone knows the answer I've got a job for him for him up a pretty good job indeed you know oh all right well let me go a little easier then so how will the global payments industry change in the next you know four or five years five years well I think you need a a Weezer well I tried to make my best prediction means that in five years just probably will be five years older good answer I like that I always abstract up I hope so I hope so yah-yah-yah hope so good point so you know immediately that's the obvious question you have a massive technology infrastructure is a global bank how do you prepare yourself to enable the organization to be successful when you really don't know what the future is gonna be well global banks and wealth BBBS a global gam Bank a certain component foundations you know today I would like to talk about risk and efficiency so World Bank's deal with risk with the market great the operational reputational risk and so on so risk control is part of all or DNA you know and when you've got millions of customers you know efficiency efficiency is a must so I think there's no problem with all these foundations they problem the problem analyze the problems appears when when banks translate these foundations is valued into technology so risk control or risk management avoid risk usually means by the most expensive proprietary technology in the market you know from one of the biggest software companies in the world you know so probably all of you there are so those people in the room were glad to hear you say that yeah probably my guess the name of those companies around San Francisco most of them and efficiency usually means a savory business unit as every department or country has his own specific needs by a specific solution for them so imagine yourself working in a data center full of silos with many different Hardware operating systems different languages and complex interfaces to communicate among them you know not always documented what really never documented so your life your life in is not easy you know in this scenario are well there's no room for innovation so what's been or or strategy be BES ready to move forward in this new digital world well we've chosen a different approach which is quite simple is to replace all local proprietary system by a global platform based on on open source with three main goals you know the first one is reduce the average transaction cost to one-third the second one is increase or developers productivity five times you know and the third is enable or delete the business be able to deliver solutions of three times faster so you're not quite easy Wow and everything with the same reliability as on security standards as we've got today Wow that is an extraordinary set of objectives and I will say their world on the path of making that successful which is just amazing yeah okay this is a long journey sometimes a tough journey you know to be honest so we decided to partnership with the with the best companies in there in the world and world record we think rate cut is one of these companies so we think or your values and your knowledge is critical for BBVA and well as I mentioned before our collaboration started some time ago you know and just an example in today in BBVA a Spain being one of the biggest banks in in the country you know and using red hat technology of course our firm and fronting architecture you know for mobile and internet channels runs the ninety five percent of our customers request this is approximately 3,000 requests per second and our back in architecture execute 70 millions of business transactions a day this is almost a 50% of total online transactions executed in the country so it's all running yes running I hope so you check for you came on stage it's I'll be flying you know okay good there's no wood up here to knock on it's been a really great partnership it's been a pleasure yeah thank you so much for being here thank you thank you [Applause] I do love that story because again so much of what we talk about when we when we talk about preparing for digital is a processed solution and again things like agile and DevOps and modular izing components of work but this idea of thinking about platforms broadly and how they can run anywhere and actually delivering it delivering at a scale it's just a phenomenal project and experience and in the progress they've made it's a great team so next up we have two organizations that have done an exceptional job of enabling their people with the right information and the tools they need to be successful you know in both of these cases these are organizations who are under constant change and so leveraging the power of open-source to help them build these tools to enable and you'll see it the size and the scale of these in two very very different contexts it's great to see and so I'd like to welcome on stage Oh smart alza' with dnm and David Abraham's with IAG [Music] Oh smart welcome thank you so much for being here Dave great to see you thank you appreciate you being here and congratulations to you both on winning the Innovation Awards thank you so Omar I really found your story fascinating and how you're able to enable your people with data which is just significantly accelerated the pace with which they can make decisions and accelerate your ability to to act could you tell us a little more about the project and then what you're doing Jim and Tina when the muchisimas gracias por ever say interesado pono true projecto [Music] encargado registry controller las entradas a leda's persona por la Frontera argentina yo sé de dos siento treinta siete puestos de contrôle tienen lo largo de la Frontera tanto area the restreamer it EEMA e if looool in dilute ammonia shame or cinta me Jonas the tránsito sacra he trod on in another Fronteras dingus idea idea de la Magneto la cual estamos hablando la Frontera cantina tienen extension the kin same in kilo metros esto es el gada mint a maje or allege Estancia kaeun a poor carretera a la co de mexico con el akka a direction emulation s 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calidad de vida de atras de mettre personas SI y meet our que el delito perform a trois Natura from Dana's Argentine sigue siendo en favor de esto SI temes uno de los países mess Alberto's Allah immigration en Latin America yah hora con una plataforma mas segunda first of all I want to thank you for the interest is played for our project the National migration administration or diem records the entry and exit of people on the Argentine territory it grants residents permits to foreigners who wish to live in our country through 237 entry points land air border sea and river ways Jim dnm registered over 80 million transits throughout last year Argentine borders cover about 15,000 kilometers just our just to give you an idea of the magnitude of our borders this is greater than the distance on a highway between Mexico City and Alaska our department applies the mechanisms that prevent the entry and residents of people involved in crimes like terrorism trafficking of persons weapons drugs and others in 2016 we shifted to a more preventive and predictive paradigm that is how Sam's the system for migration analysis was created with red hats great assistance and support this allowed us to tackle the challenge of integrating multiple and varied issues legal issues police databases national and international security organizations like Interpol API advanced passenger information and PNR passenger name record this involved starting private cloud with OpenShift Rev data virtualization cloud forms and fuse that were the basis to develop Sam and implementing machine learning models and artificial intelligence our analysts consulted a number of systems and other manual files before 2016 4 days for each person entering or leaving the country so this has allowed us to optimize our decisions making them in real time each time Sam is consulted it processes patterns of over two billion data entries Sam's aim is to improve the quality of life of our citizens and visitors making sure that crime doesn't pierce our borders in an environment of analytic evolution and constant improvement in essence Sam contributes toward Argentina being one of the leaders in Latin America in terms of immigration with our new system great thank you and and so Dave tell us a little more about the insurance industry and the challenges in the EU face yeah sure so you know in the insurance industry it's a it's been a bit sort of insulated from a lot of major change in disruption just purely from the fact that it's highly regulated and the cost of so that the barrier to entry is quite high in fact if you think about insurance you know you have to have capital reserves to protect against those major events like floods bush fires and so on but the whole thing is a lot of change there's come in a really rapid pace I'm also in the areas of customer expectations you know customers and now looking and expecting for the same levels of flexibility and convenience that they would experience with more modern and new startups they're expecting out of the older institutions like banks and insurance companies like us so definitely expecting the industry to to be a lot more adaptable and to better meet their needs I think the other aspect of it really is in the data the data area where I think that the donor is now creating a much more significant connection between organizations in a car summers especially when you think about the level of devices that are now enabled and the sheer growth of data that's that that's growing at exponential rates so so that the impact then is that the systems that we used to rely on are the technology we used to rely on to be able to handle that kind of growth no longer keeps up and is able to to you know build for the future so we need to sort of change that so what I G's really doing is transform transforming the organization to become a lot more efficient focus more on customers and and really set ourselves up to be agile and adaptive and so ya know as part of your Innovation Award that the specific set of projects you tied a huge amount of different disparate systems together and with M&A and other you have a lot to do there to you tell us a little more about kind of how you're able to better respond to customer needs by being able to do that yeah no you're right so we've we've we're nearly a hundred year old company that's grown from lots of merger and acquisition and just as a result of that that means that data's been sort of spread out and fragmented across multiple brands and multiple products and so the number one sort of issue and problem that we were hearing was that it was too hard to get access to data and it's highly complicated which is not great from a company from our perspective really because because we are a data company right that's what we do we we collect data about people what they what's important to them what they value and the environment in which they live so that we can understand that risk and better manage and protect those people so what we're doing is we're trying to make and what we have been doing is making data more open and accessible and and by that I mean making data more of easily available for people to use it to make decisions in their day-to-day activity and to do that what we've done is built a single data platform across the group that unifies the data into a single source of truth that we can then build on top of that single views of customers for example that puts the right information into the into the hands of the people that need it the most and so now why does open source play such a big part in doing that I know there are a lot of different solutions that could get you there sure well firstly I think I've been sauce has been k2 these and really it's been key because we've basically started started from scratch to build this this new next-generation data platform based on entirely open-source you know using great components like Kafka and Postgres and airflow and and and and and then fundamentally building on top of red Red Hat OpenStack right to power all that and they give us the flexibility that we need to be able to make things happen much faster for example we were just talking to the pivotal guys earlier this week here and some of the stuff that we're doing they're they're things quite interesting innovative writes even sort of maybe first in the world where we've taken the older sort of appliance and dedicated sort of massive parallel processing unit and ported that over onto red Red Hat OpenStack right which is now giving us a lot more flexibility for scale in a much more efficient way but you're right though that we've come from in the past a more traditional approach to to using vendor based technology right which was good back then when you know technology solutions could last for around 10 years or so on and and that was fine but now that we need to move much faster we've had to rethink that and and so our focus has been on using you know more commoditized open source technology built by communities to give us that adaptability and sort of remove the locking in there any entrenchment of technology so that's really helped us but but I think that the last point that's been really critical to us is is answering that that concern and question about ongoing support and maintenance right so you know in a regular environment the regulator is really concerned about anything that could fundamentally impact business operation and and so the question is always about what happens when something goes wrong who's going to be there to support you which is where the value of the the partnership we have with Red Hat has really come into its own right and what what it's done is is it's actually giving us the best of both worlds a means that we can we can leverage and use and and and you know take some of the technology that's being developed by great communities in the open source way but also partner with a trusted partner in red had to say you know they're going to stand behind that community and provide that support when we needed the most so that's been the kind of the real value out of that partnership okay well I appreciate I love the story it's how do you move quickly leverage the power community but do it in a safe secure way and I love the idea of your literally empowering people with machine learning and AI at the moment when they need it it's just an incredible story so thank you so much for being here appreciate it thank you [Applause] you know again you see in these the the importance of enabling people with data and in an old-world was so much data was created with a system in mind versus data is a separate asset that needs to be available real time to anyone is a theme we hear over and over and over again and so you know really looking at open source solutions that allow that flexibility and keep data from getting locked into proprietary silos you know is a theme that we've I've heard over and over over the past year with many of our customers so I love logistics I'm a geek that way I come from that background in the past and I know that running large complex operations requires flawless execution and that requires great data and we have two great examples today around how to engage own organizations in new and more effective ways in the case of lufthansa technik literally IT became the business so it wasn't enabling the business it became the business offering and importantly went from idea to delivery to customers in a hundred days and so this theme of speed and the importance of speed it's a it's a great story you'll hear more about and then also at UPS UPS again I talked a little earlier about IT used to be kind of the long pole in the tent the thing that was slow moving because of the technology but UPS is showing that IT can actually drive the business and the cadence of business even faster by demonstrating the power and potential of technology to engage in this case hundreds of thousands of people to make decisions real-time in the face of obviously constant change around weather mechanicals and all the different things that can happen in a large logistics operation like that so I'd like to welcome on stage to be us more from Lufthansa Technik and Nick Castillo from ups to be us welcome thank you for being here Nick thank you thank you Jim and congratulations on your Innovation Awards oh thank you it's a great honor so to be us let's start with you can you tell us a little bit more about what a viet are is yeah avatars are a digital platform offering features like aircraft condition analytics reliability management and predictive maintenance and it helps airlines worldwide to digitize and improve their operations so all of the features work and can be used separately or generate even more where you burn combined and finally we decided to set up a viet as an open platform that means that we avoid the whole aviation industry to join the community and develop ideas on our platform and to be as one of things i found really fascinating about this is that you had a mandate to do this at a hundred days and you ultimately delivered on it you tell us a little bit about that i mean nothing in aviation moves that fast yeah that's been a big challenge so in the beginning of our story the Lufthansa bot asked us to develop somehow digital to win of an aircraft within just hundred days and to deliver something of value within 100 days means you cannot spend much time and producing specifications in terms of paper etc so for us it was pretty clear that we should go for an angel approach and immediately start and developing ideas so we put the best experts we know just in one room and let them start to work and on day 2 I think we already had the first scribbles for the UI on day 5 we wrote the first lines of code and we were able to do that because it has been a major advantage for us to already have four technologies taken place it's based on open source and especially rated solutions because we did not have to waste any time setting up the infrastructure and since we wanted to get feedback very fast we were certainly visited an airline from the Lufthansa group already on day 30 and showed them the first results and got a lot of feedback and because from the very beginning customer centricity has been an important aspect for us and changing the direction based on customer feedback has become quite normal for us over time yeah it's an interesting story not only engaging the people internally but be able to engage with a with that with a launch customer like that and get feedback along the way as it's great thing how is it going overall since launch yeah since the launch last year in April we generated much interest in the industry as well from Airlines as from competitors and in the following month we focused on a few Airlines which had been open minded and already advanced in digital activities and we've got a lot of feedback by working with them and we're able to improve our products by developing new features for example we learned that data integration can become quite complex in the industry and therefore we developed a new feature called quick boarding allowing Airlines to integrate into the via table platform within one day using a self-service so and currently we're heading for the next steps beyond predictive maintenance working on process automation and prescriptive prescriptive maintenance because we believe prediction without fulfillment still isn't enough it really is a great example of even once you're out there quickly continuing to innovate change react it's great to see so Nick I mean we all know ups I'm still always blown away by the size and scale of the company and the logistics operations that you run you tell us a little more about the project and what we're doing together yeah sure Jim and you know first of all I think I didn't get the sportcoat memo I think I'm the first one up here today with a sport coat but you know first on you know on behalf of the 430,000 ups was around the world and our just world-class talented team of 5,000 IT professionals I have to tell you we're humbled to be one of this year's red hat Innovation Award recipients so we really appreciate that you know as a global logistics provider we deliver about 20 million packages each day and we've got a portfolio of technologies both operational and customer tech and another customer facing side the power what we call the UPS smart logistics network and I gotta tell you innovations in our DNA technology is at the core of everything we do you know from the ever familiar first and industry mobile platform that a lot of you see when you get delivered a package which we call the diad which believe it or not we delivered in 1992 my choice a data-driven solution that drives over 40 million of our my choice customers I'm whatever you know what this is great he loves logistics he's a my choice customer you could be one too by the way there's a free app in the App Store but it provides unmatched visibility and really controls that last mile delivery experience so now today we're gonna talk about the solution that we're recognized for which is called site which is part of a much greater platform that we call edge which is transforming how our package delivery teams operate providing them real-time insights into our operations you know this allows them to make decisions based on data from 32 disparate data sources and these insights help us to optimize our operations but more importantly they help us improve the delivery experience for our customers just like you Jim you know on the on the back end is Big Data and it's on a large scale our systems are crunching billions of events to render those insights on an easy-to-use mobile platform in real time I got to tell you placing that information in our operators hands makes ups agile and being agile being able to react to changing conditions as you know is the name of the game in logistics now we built edge in our private cloud where Red Hat technologies play a very important role as part of our overage overarching cloud strategy and our migration to agile and DevOps so it's it's amazing it's amazing the size and scale so so you have this technology vision around engaging people in a more effect way those are my word not yours but but I'd be at that's how it certainly feels and so tell us a little more about how that enables the hundreds of thousands people to make better decisions every day yep so you know we're a people company and the edge platform is really the latest in a series of solutions to really empower our people and really power that smart logistics network you know we've been deploying technology believe it or not since we founded the company in 1907 we'll be a hundred and eleven years old this August it's just a phenomenal story now prior to edge and specifically the syphon ishutin firm ation from a number of disparate systems and reports they then need to manually look across these various data sources and and frankly it was inefficient and prone to inaccuracy and it wasn't really real-time at all now edge consumes data as I mentioned earlier from 32 disparate systems it allows our operators to make decisions on staffing equipment the flow of packages through the buildings in real time the ability to give our people on the ground the most up-to-date data allows them to make informed decisions now that's incredibly empowering because not only are they influencing their local operations but frankly they're influencing the entire global network it's truly extraordinary and so why open source and open shift in particular as part of that solution yeah you know so as I mentioned Red Hat and Red Hat technology you know specifically open shift there's really core to our cloud strategy and to our DevOps strategy the tools and environments that we've partnered with Red Hat to put in place truly are foundational and they've fundamentally changed the way we develop and deploy our systems you know I heard Jose talk earlier you know we had complex solutions that used to take 12 to 18 months to develop and deliver to market today we deliver those same solutions same level of complexity in months and even weeks now openshift enables us to container raise our workloads that run in our private cloud during normal operating periods but as we scale our business during our holiday peak season which is a very sure window about five weeks during the year last year as a matter of fact we delivered seven hundred and sixty-two million packages in that small window and our transactions our systems they just spiked dramatically during that period we think that having open shift will allow us in those peak periods to seamlessly move workloads to the public cloud so we can take advantage of burst capacity economically when needed and I have to tell you having this flexibility I think is key because you know ultimately it's going to allow us to react quickly to customer demands when needed dial back capacity when we don't need that capacity and I have to say it's a really great story of UPS and red hat working you together it really is a great story is just amazing again the size and scope but both stories here a lot speed speed speed getting to market quickly being able to try things it's great lessons learned for all of us the importance of being able to operate at a fundamentally different clock speed so thank you all for being here very much appreciated congratulate thank you [Applause] [Music] alright so while it's great to hear from our Innovation Award winners and it should be no surprise that they're leading and experimenting in some really interesting areas its scale so I hope that you got a chance to learn something from these interviews you'll have an opportunity to learn more about them you'll also have an opportunity to vote on the innovator of the year you can do that on the Red Hat summit mobile app or on the Red Hat Innovation Awards homepage you can learn even more about their stories and you'll have a chance to vote and I'll be back tomorrow to announce the the summit winner so next I like to spend a few minutes on talking about how Red Hat is working to catalyze our customers efforts Marko bill Peter our senior vice president of customer experience and engagement and John Alessio our vice president of global services will both describe areas in how we are working to configure our own organization to effectively engage with our customers to use open source to help drive their success so with that I'd like to welcome marquel on stage [Music] good morning good morning thank you Jim so I want to spend a few minutes to talk about how we are configured how we are configured towards your success how we enable internally as well to work towards your success and actually engage as well you know Paul yesterday talked about the open source culture and our open source development net model you know there's a lot of attributes that we have like transparency meritocracy collaboration those are the key of our culture they made RedHat what it is today and what it will be in the future but we also added our passion for customer success to that let me tell you this is kind of the configuration from a cultural perspective let me tell you a little bit on what that means so if you heard the name my organization is customer experience and engagement right in the past we talked a lot about support it's an important part of the Red Hat right and how we are configured we are configured probably very uniquely in the industry we put support together we have product security in there we add a documentation we add a quality engineering into an organization you think there's like wow why are they doing it we're also running actually the IT team for actually the product teams why are we doing that now you can imagine right we want to go through what you see as well right and I'll give you a few examples on how what's coming out of this configuration we invest more and more in testing integration and use cases which you are applying so you can see it between the support team experiencing a lot what you do and actually changing our test structure that makes a lot of sense we are investing more and more testing outside the boundaries so not exactly how things must fall by product management or engineering but also how does it really run in an environment that you operate we run complex setups internally right taking openshift putting in OpenStack using software-defined storage underneath managing it with cloud forms managing it if inside we do that we want to see how that works right we are reshaping documentation console to kind of help you better instead of just documenting features and knobs as in how can how do you want to achieve things now part of this is the configuration that are the big part of the configuration is the voice of the customer to listen to what you say I've been here at Red Hat a few years and one of my passion has always been really hearing from customers how they do it I travel constantly in the world and meet with customers because I want to know what is really going on we use channels like support we use channels like getting from salespeople the interaction from customers we do surveys we do you know we interact with our people to really hear what you do what we also do what maybe not many know and it's also very unique in the industry we have a webpage called you asked reacted we show very transparently you told us this is an area for improvement and it's not just in support it's across the company right build us a better web store build us this we're very transparent about Hades improvements we want to do with you now if you want to be part of the process today go to the feedback zone on the next floor down and talk to my team I might be there as well hit me up we want to hear the feedback this is how we talk about configuration of the organization how we are configured let me go to let me go to another part which is innovation innovation every day and that in my opinion the enable section right we gotta constantly innovate ourselves how do we work with you how do we actually provide better value how do we provide faster responses in support this is what we would I say is is our you know commitment to innovation which is the enabling that Jim talked about and I give you a few examples which I'm really happy and it kind of shows the open source culture at Red Hat our commitment is for innovation I'll give you good example right if you have a few thousand engineers and you empower them you kind of set the business framework as hey this is an area we got to do something you get a lot of good IDs you get a lot of IDs and you got a shape an inter an area that hey this is really something that brings now a few years ago we kind of said or I say is like based on a lot of feedback is we got to get more and more proactive if you customers and so I shaped my team and and I shaped it around how can we be more proactive it started very simple as in like from kbase articles or knowledgebase articles in getting started guys then we started a a tool that we put out called labs you've probably seen them if you're on the technical side really taking small applications out for you to kind of validate is this configured correctly stat configure there was the start then out of that the ideas came and they took different turns and one of the turns that we came out was right at insights that we launched a few years ago and did you see the demo yesterday that in Paul's keynote that they showed how something was broken with one the data centers how it was applied to fix and how has changed this is how innovation really came from the ground up from the support side and turned into something really a being a cornerstone of our strategy and we're keeping it married from the day to day work right you don't want to separate this you want to actually keep that the data that's coming from the support goes in that because that's the power that we saw yesterday in the demo now innovation doesn't stop when you set the challenge so we did the labs we did the insights we just launched a solution engine called solution engine another thing that came out of that challenge is in how do we break complex issues down that it's easier for you to find a solution quicker it's one example but we're also experimenting with AI so insights uses AI as you probably heard yesterday we also use it internally to actually drive faster resolution we did in one case with a a our I bought basically that we get to 25% faster resolution on challenges that you have the beauty for you obviously it's well this is much faster 10% of all our support cases today are supported and assisted by an AI now I'll give you another example of just trying to tell you the innovation that comes out if you configure and enable the team correctly kbase articles are knowledgebase articles we q8 thousands and thousands every year and then I get feedback as and while they're good but they're in English as you can tell my English is perfect so it's not no issue for that but for many of you is maybe like even here even I read it in Japanese so we actually did machine translation because it's too many that we can do manually the using machine translation I can tell it's a funny example two weeks ago I tried it I tried something from English to German I looked at it the German looked really bad I went back but the English was bad so it really translates one to one actually what it does but it's really cool this is innovation that you can apply and the team actually worked on this and really proud on that now the real innovation there is not these tools the real innovation is that you can actually shape it in a way that the innovation comes that you empower the people that's the configure and enable and what I think is all it's important this don't reinvent the plumbing don't start from scratch use systems like containers on open shift to actually build the innovation in a smaller way without reinventing the plumbing you save a lot of issues on security a lot of issues on reinventing the wheel focus on that that's what we do as well if you want to hear more details again go in the second floor now let's talk about the engage that Jim mentioned before what I translate that engage is actually engaging you as a customer towards your success now what does commitment to success really mean and I want to reflect on that on a traditional IT company shows up with you talk the salesperson solution architect works with you consulting implements solution it comes over to support and trust me in a very traditional way the support guy has no clue what actually was sold early on it's what happens right and this is actually I think that red had better that we're not so silent we don't show our internal silos or internal organization that much today we engage in a way it doesn't matter from which team it comes we have a better flow than that you deserve how the sausage is made but we can never forget what was your business objective early on now how is Red Hat different in this and we are very strong in my opinion you might disagree but we are very strong in a virtual accounting right really putting you in the middle and actually having a solution architect work directly with support or consulting involved and driving that together you can also help us in actually really embracing that model if that's also other partners or system integrators integrate put yourself in the middle be around that's how we want to make sure that we don't lose sight of the original business problem trust me reducing the hierarchy or getting rid of hierarchy and bureaucracy goes a long way now this is how we configured this is how we engage and this is how we are committed to your success with that I'm going to introduce you to John Alessio that talks more about some of the innovation done with customers thank you [Music] good morning I'm John Alessio I'm the vice president of Global Services and I'm delighted to be with you here today I'd like to talk to you about a couple of things as it relates to what we've been doing since the last summit in the services organization at the core of everything we did it's very similar to what Marco talked to you about our number one priority is driving our customer success with red hat technology and as you see here on the screen we have a number of different offerings and capabilities all the way from training certification open innovation labs consulting really pairing those capabilities together with what you just heard from Marco in the support or cee organization really that's the journey you all go through from the beginning of discovering what your business challenge is all the way through designing those solutions and deploying them with red hat now the highlight like to highlight a few things of what we've been up to over the last year so if I start with the training and certification team they've been very busy over the last year really updating enhancing our curriculum if you haven't stopped by the booth there's a preview for new capability around our learning community which is a new way of learning and really driving that enable meant in the community because 70% of what you need to know you learned from your peers and so it's a very key part of our learning strategy and in fact we take customer satisfaction with our training and certification business very seriously we survey all of our students coming out of training 93% of our students tell us they're better prepared because of red hat training and certification after Weeds they've completed the course we've updated the courses and we've trained well over a hundred and fifty thousand people over the last two years so it's a very very key part of our strategy and that combined with innovation labs and the consulting operation really drive that overall journey now we've been equally busy in enhancing the system of enablement and support for our business partners another very very key initiative is building out the ecosystem we've enhanced our open platform which is online partner enablement network we've added new capability and in fact much of the training and enablement that we do for our internal consultants our deal is delivered through the open platform now what I'm really impressed with and thankful for our partners is how they are consuming and leveraging this material we train and enable for sales for pre-sales and for delivery and we're up over 70% year in year in our partners that are enabled on RedHat technology let's give our business partners a round of applause now one of our offerings Red Hat open innovation labs I'd like to talk a bit more about and take you through a case study open innovation labs was created two years ago it's really there to help you on your journey in adopting open source technology it's an immersive experience where your team will work side-by-side with Red Hatters to really propel your journey forward in adopting open source technology and in fact we've been very busy since the summit in Boston as you'll see coming up on the screen we've completed dozens of engagements leveraging our methods tools and processes for open innovation labs as you can see we've worked with large and small accounts in fact if you remember summit last year we had a European customer easier AG on stage which was a startup and we worked with them at the very beginning of their business to create capabilities in a very short four-week engagement but over the last year we've also worked with very large customers such as Optim and Delta Airlines here in North America as well as Motability operations in the European arena one of the accounts I want to spend a little bit more time on is Heritage Bank heritage Bank is a community owned bank in Toowoomba Australia their challenge was not just on creating new innovative technology but their challenge was also around cultural transformation how to get people to work together across the silos within their organization we worked with them at all levels of the organization to create a new capability the first engagement went so well that they asked us to come in into a second engagement so I'd like to do now is run a video with Peter lock the chief executive officer of Heritage Bank so he can take you through their experience Heritage Bank is one of the country's oldest financial institutions we have to be smarter we have to be more innovative we have to be more agile we had to change we had to find people to help us make that change the Red Hat lab is the only one that truly helps drive that change with a business problem the change within the team is very visible from the start to now we've gone from being separated to very single goal minded seeing people that I only ever seen before in their cubicles in the room made me smile programmers in their thinking I'm now understanding how the whole process fits together the productivity of IT will change and that is good for our business that's really the value that were looking for the Red Hat innovation labs for us were a really great experience I'm not interested in running an organization I'm interested in making a great organization to say I was pleasantly surprised by it is an understatement I was delighted I love the quote I was delighted makes my heart warm every time I see that video you know since we were at summit for those of you who are with us in Boston some of you went on our hardhat tours we've opened three physical facilities here at Red Hat where we can conduct red head open Innovation Lab engagements Singapore London and Boston were all opened within the last physical year and in fact our site in Boston is paired with our world-class executive briefing center as well so if you haven't been there please do check it out I'd like to now talk to you a bit about a very special engagement that we just recently completed we just recently completed an engagement with UNICEF the United Nations Children's Fund and the the purpose behind this engagement was really to help UNICEF create an open-source platform that marries big data with social good the idea is UNICEF needs to be better prepared to respond to emergency situations and as you can imagine emergency situations are by nature unpredictable you can't really plan for them they can happen anytime anywhere and so we worked with them on a project that we called school mapping and the idea was to provide more insights so that when emergency situations arise UNICEF could do a much better job in helping the children in the region and so we leveraged our Red Hat open innovation lab methods tools processes that you've heard about just like we did at Heritage Bank and the other accounts I mentioned but then we also leveraged Red Hat software technologies so we leveraged OpenShift container platform we leveraged ansible automation we helped the client with a more agile development approach so they could have releases much more frequently and continue to update this over time we created a continuous integration continuous deployment pipeline we worked on containers and container in the application etc with that we've been able to provide a platform that is going to allow for their growth to better respond to these emergency situations let's watch a short video on UNICEF mission of UNICEF innovation is to apply technology to the world's most pressing problems facing children data is changing the landscape of what we do at UNICEF this means that we can figure out what's happening now on the ground who it's happening to and actually respond to it in much more of a real-time manner than we used to be able to do we love working with open source communities because of their commitment that we should be doing good for the world we're actually with red hat building a sandbox where universities or other researchers or data scientists can connect and help us with our work if you want to use data for social good there's so many groups out there that really need your help and there's so many ways to get involved [Music] so let's give a very very warm red hat summit welcome to Erica kochi co-founder of unicef innovation well Erica first of all welcome to Red Hat summit thanks for having me here it's our pleasure and thank you for joining us so Erica I've just talked a bit about kind of what we've been up to and Red Hat services over the last year we talked a bit about our open innovation labs and we did this project the school mapping project together our two teams and I thought the audience might find it interesting from your point of view on why the approach we use in innovation labs was such a good fit for the school mapping project yeah it was a great fit for for two reasons the first is values everything that we do at UNICEF innovation we use open source technology and that's for a couple of reasons because we can take it from one place and very easily move it to other countries around the world we work in 190 countries so that's really important for us not to be able to scale things also because it makes sense we can get we can get more communities involved in this and look not just try to do everything by ourselves but look much open much more openly towards the open source communities out there to help us with our work we can't do it alone yeah and then the second thing is methodology you know the labs are really looking at taking this agile approach to prototyping things trying things failing trying again and that's really necessary when you're developing something new and trying to do something new like mapping every school in the world yeah very challenging work think about it 190 countries Wow and so the open source platform really works well and then the the rapid prototyping was really a good fit so I think the audience might find it interesting on how this application and this platform will help children in Latin America so in a lot of countries in Latin America and many countries throughout the world that UNICEF works in are coming out of either decades of conflict or are are subject to natural disasters and not great infrastructure so it's really important to a for us to know where schools are where communities are well where help is needed what's connected what's not and using a overlay of various sources of data from poverty mapping to satellite imagery to other sources we can really figure out what's happening where resources are where they aren't and so we can plan better to respond to emergencies and to and to really invest in areas that are needed that need that investment excellent excellent it's quite powerful what we were able to do in a relatively short eight or nine week engagement that our two teams did together now many of your colleagues in the audience are using open source today looking to expand their use of open source and I thought you might have some recommendations for them on how they kind of go through that journey and expanding their use of open source since your experience at that yeah for us it was it was very much based on what's this gonna cost we have limited resources and what's how is this gonna spread as quickly as possible mm-hmm and so we really asked ourselves those two questions you know about 10 years ago and what we realized is if we are going to be recommending technologies that governments are going to be using it really needs to be open source they need to have control over it yeah and they need to be working with communities not developing it themselves yeah excellent excellent so I got really inspired with what we were doing here in this project it's one of those you know every customer project is really interesting to me this one kind of pulls a little bit at your heartstrings on what the real impact could be here and so I know some of our colleagues here in the audience may want to get involved how can they get involved well there's many ways to get involved with the other UNICEF or other groups out there you can search for our work on github and there are tasks that you can do right now if and if you're looking for to do she's got work for you and if you want sort of a more a longer engagement or a bigger engagement you can check out our website UNICEF stories org and you can look at the areas you might be interested in and contact us we're always open to collaboration excellent well Erica thank you for being with us here today thank you for the great project we worked on together and have a great summer thank you for being give her a round of applause all right well I hope that's been helpful to you to give you a bit of an update on what we've been focused on in global services the message I'll leave with you is our top priority is customer success as you heard through the story from UNICEF from Heritage Bank and others we can help you innovate where you are today I hope you have a great summit and I'll call out Jim Whitehurst thank you John and thank you Erica that's really an inspiring story we have so many great examples of how individuals and organizations are stepping up to transform in the face of digital disruption I'd like to spend my last few minutes with one real-world example that brings a lot of this together and truly with life-saving impact how many times do you think you can solve a problem which is going to allow a clinician to now save the life I think the challenge all of his physicians are dealing with is data overload I probably look at over 100,000 images in a day and that's just gonna get worse what if it was possible for some computer program to look at these images with them and automatically flag images that might deserve better attention Chris on the surface seems pretty simple but underneath Chris has a lot going on in the past year I've seen Chris Foreman community and a space usually dominated by proprietary software I think Chris can change medicine as we know it today [Music] all right with that I'd like to invite on stage dr. Ellen grant from Boston Children's Hospital dr. grant welcome thank you for being here so dr. grant tell me who is Chris Chris does a lot of work for us and I think Chris is making me or has definitely the potential to make me a better doctor Chris helps us take data from our archives in the hospital and port it to wrap the fastback ends like the mass up and cloud to do rapid data processing and provide it back to me in any format on a desktop an iPad or an iPhone so it it basically brings high-end data analysis right to me at the bedside and that's been a barrier that I struggled with years ago to try to break down so that's where we started with Chris is to to break that barrier between research that occurred on a timeline of days to weeks to months to clinical practice which occurs in the timeline of seconds to minutes well one of things I found really fascinating about this story RedHat in case you can't tell we're really passionate about user driven innovation is this is an example of user driven innovation not directly at a technology company but in medicine excuse me can you tell us just a little bit about the genesis of Chris and how I got started yeah Chris got started when I was running a clinical division and I was very frustrated with not having the latest image analysis tools at my fingertips while I was on clinical practice and I would have to on the research so I could go over and you know do line code and do the data analysis but if I'm always over in clinical I kept forgetting how to do those things and I wanted to have all those innovations that my fingertips and not have to remember all the computer science because I'm a physician not like a better scientist so I wanted to build a platform that gave me easy access to that back-end without having to remember all the details and so that's what Chris does for us is brings allowed me to go into the PAC's grab a dataset send it to a computer and back in to do the analysis and bring it back to me without having to worry about where it was or how it got there that's all involved in the in the platform Chris and why not just go to a vendor and ask them to write a piece of software for you to do that yeah we thought about that and we do a lot of technical innovations and we always work with the experts so we wanted to work with if I'm going to be able to say an optical device I'm going to work with the optical engineers or an EM our system I'm going to work with em our engineers so we wanted to work with people who really knew or the plumbers so to speak of the software in industry so we ended up working with the massive point cloud for the platform and the distributed systems in Red Hat as the infrastructure that's starting to support Chris and that's been actually a really incredible journey for us because medical ready medical softwares not typically been a community process and that's something that working with dan from Red Hat we learned a lot about how to participate in an open community and I think our team has grown a lot as a result of that collaboration and I know you we've talked about in the past that getting this data locked into a proprietary system you may not be able to get out there's a real issue can you talk about the importance of open and how that's worked in the process yeah and I think for the medical community and I find this resonates with other physicians as well too is that it's medical data we want to continue to own and we feel very awkward about giving it to industry so we would rather have our data sitting in an open cloud like the mass open cloud where we can have a data consortium that oversees the data governance so that we're not giving our data way to somebody else but have a platform that we can still keep a control of our own data and I think it's going to be the future because we're running of a space in the hospital we generate so much data and it's just going to get worse as I was mentioning and all the systems run faster we get new devices so the amount of data that we have to filter through is just astronomically increasing so we need to have resources to store and compute on such large databases and so thinking about where this could go I mean this is a classic feels like an open-source project it started really really small with a originally modest set of goals and it's just kind of continue to grow and grow and grow it's a lot like if yes leanest torval Linux would be in 1995 you probably wouldn't think it would be where it is now so if you dream with me a little bit where do you think this could possibly go in the next five years ten years what I hope it'll do is allow us to break down the silos within the hospital because to do the best job at what we physicians do not only do we have to talk and collaborate together as individuals we have to take the data each each community develops and be able to bring it together so in other words I need to be able to bring in information from vital monitors from mr scans from optical devices from genetic tests electronic health record and be able to analyze on all that data combined so ideally this would be a platform that breaks down those information barriers in a hospital and also allows us to collaborate across multiple institutions because many disorders you only see a few in each hospital so we really have to work as teams in the medical community to combine our data together and also I'm hoping that and we even have discussions with people in the developing world because they have systems to generate or to got to create data or say for example an M R system they can't create data but they don't have the resources to analyze on it so this would be a portable for them to participate in this growing data analysis world without having to have the infrastructure there and be a portal into our back-end and we could provide the infrastructure to do the data analysis it really is truly amazing to see how it's just continued to grow and grow and expand it really is it's a phenomenal story thank you so much for being here appreciate it thank you [Applause] I really do love that story it's a great example of user driven innovation you know in a different industry than in technology and you know recognizing that a clinicians need for real-time information is very different than a researchers need you know in projects that can last weeks and months and so rather than trying to get an industry to pivot and change it's a great opportunity to use a user driven approach to directly meet those needs so we still have a long way to go we have two more days of the summit and as I said yesterday you know we're not here to give you all the answers we're here to convene the conversation so I hope you will have an opportunity today and tomorrow to meet some new people to share some ideas we're really really excited about what we can all do when we work together so I hope you found today valuable we still have a lot more happening on the main stage as well this afternoon please join us back for the general session it's a really amazing lineup you'll hear from the women and opensource Award winners you'll also hear more about our collab program which is really cool it's getting middle school girls interested in open sourcing coding and so you'll have an opportunity to see some people involved in that you'll also hear from the open source Story speakers and you'll including in that you will see a demo done by a technologist who happens to be 11 years old so really cool you don't want to miss that so I look forward to seeing you then this afternoon thank you [Applause]

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Marco Bill-Peter, Red Hat | Red Hat Summit 2018


 

(upbeat music) >> Announcer: Live from San Francisco, It's the Cube. Covering Red Hat Summit 2018. Brought to you buy, Red Hat. >> Okay, welcome back everyone. We're live here in the Cube in San Francisco, California, Monscone West, Cube's exclusive coverage of Red Hat Summit 2018. I'm John Furrier, co-host. With John Troyer, he's my analyst co- host, he's the co -founder of Tech Reckoning Advisory and Community Development Firm. My next guest is Marco Bill-Peter, Senior vice-president of Customer Experience and Engagement at Red Hat. Welcome back to the Cube. Good to see you. So, you guys have a great track record with customer support. You guys use gold standard in open source, you've done it well, very reliable. It's a changing world. You know, Open Shift now, certainly the center piece, west, new acquisition. A lot of things happening with in the portfolio. Cloud native new capabilities are on the horizon. So, you've got to figure it out. So, what's the support strategy? What do you guys do? How are you looking? I'm sure it's challenging but never too much of a challenge for you guys. You're smart, what's the support strategy? >> I think the recipe it is really like not getting stuck in a wave, right? And be open to, you know I think Jim Whitehurst and his keynote talk quite a bit about, you used to do all plan, describe and execute. That thing just doesn't work, right? Because supporting customers on Linux, supporting them when they move to Open Shift or even application, is a whole different piece. So, as a leader you got to be flexible as in okay, here we do it this way, let's put more money in this. Let's say Open Shift support, Open Shift kind of, what's the customer experience there, right? Kind of figure out how it works. There's a lot of things that scare me in the daily business as in like okay, we can't do that. But I think Red Hat is really good in reconfiguring, Jim talked about that in a keynote as well, reconfiguring the organization. And so, we move for example, quality assurance into my organization and combining that with support. All of them give some more opportunities realizing, oh this product maybe not ready yet for the market, right? We can not support that. Or, you augmented with, I wouldn't call it AI capabilities, but more like those capabilities. All of the sudden stuff gets done automatically. >> And multi cloud is again, just like multi vendor environment, but it's a little bit different obviously. But multiple clouds you have different architectures. You guys do some progressive things. What's new, architecturally within the support group? Because you have deals announced here with IBM and Microsoft, one of them is a joint, I think integrated program where guys are teaming up. >> Microsoft is interesting. >> We've teamed last three, four years, right? With he first deal and gone further. You're like funny, right? I've been at Red Hat so long and you put people on premise. It's kind of funny. But it's good, right? And that's where you got to glue together. Sometimes it's people. Sometimes it's also more having the data, right? I mean if you go multi cloud. Difference between multi vendor, multi cloud. Multi vendor, you just call the vendor and tell them hey you handle it. Here, I'll put data, you handle it. Or maybe you do it a bit better. But, multi cloud is, well it's running there, how do you get access to that? Then the whole privacy laws comes in. So you got to be more instrumentation, you know, telemetry-- >> You're using tech to help you guys out. That's what you're referring by AI. >> I actually think that the next ten years you will see support changing quite a bit. >> John: In what way? >> But also you have to staff this up, right? You need to upscale your folks as well as technology. >> That doesn't go away. But I think you've got to go more that you really need deep skills. If you want to support Open Shift you've got to, either you understand it from the middle side, from the application side or from the bottom from the infrastructure. You need both skill sets. So you need really highly skilled people. But one the other hand if it's really like real time and people don't have patience to wait two weeks, especially if you're in the cloud. More and more tooling. I see the vision as in it would be less and less based on the scale but I think it's less people involved more and more automation, tooling. >> You kind of see it now with boss, kind of just tip of the iceberg. But you've got automation built into the culture of Red Hat. You've put coral west. They want to automate everything. >> You see Insights, right? We launched Insights three years ago out of support. They take support data, find out what's really happening, create rules that if you match it the customer systems say you have this and this issue. And now it's in the incentive stage of the strategy as in we can automate it, but you can automate it. you have a problem, you want to have it solved. >> You're presenting a support service. >> Exactly, and eventually, we'll not even tell you, in maybe hindsight we'll tell you, hey, you had this network issue or configured the wrong way, we fixed it have a good day. >> Well it came up in Cooper Netty's conversation we had last week in Copenhagen, we were in Denmark for CubeCon around things Cooper Netty's defacto standing, so great stuff, that's certainly great. Istio service mesh is atopic that's highly discussed. And one of the thing that comes up is the automation the down side is potentially it fixes things. So, you could have a memory leak for instance, that you never know gets fixed. But it just crashes every day and reboots itself. So, the new kinds of instrumentation that's emerging. So this is really the though job. >> Yeah. Yeah. >> How do you get in there-- >> Also have automation-- >> And you as the central provider, right, are pulling in data from across the world and across the customer base. So how do you take that, sift it to be more proactive about decision making and support. >> So we capture all this support data. And you know it's fascinating, we have some AI capabilities, some machine learning capabilities go through there. But it's fascinating, sometimes we see new issues coming up. What we do is then, we go well let's look who is exposed to that, just to get a footprint. And then you actually inform customers, hey, you had this and this issue or you have this. It's really a different, I want to get more proactive or I want to get more automated. With the automation I just want to be, right, so we installed, over the last, I would say 18 months, like a bot, simple bot basically, his name is Edmond. And he works on support cases. And we started slow, very slow. We didn't let it go as in total machine or anything. But now, I gave some stats earlier today. In one used case it's 25 percent faster solving a customer issue using Edmond. And he participates in 11 percent of all support cases. >> Wow. >> Edmond is a busy guy. >> And the game is changing too. I mean in the old days, first lines support, second lines support, offline support, then escalation. These things are older IT mechanisms. With this you're talking about completely doing away with, in essence first line support. But also first line support might come in, from say a Microsoft or an IBM. You've got to be ready for anything. >> Actually I think it's not just first line support. And it's not replacing them. It's helping them. It's really making them faster, right? I think the frustration piece is, like, customer opens his support case, some data is missing, right? So, you have a que it gets to that. Engineering looks and oh, there's data missing. Edmond sees that and says hey, I need this data. Based on all the support cases we fixed similar issues, this is the data we need. So Edmond gets the data ready, engineer looks and in some cases Edmond actually closes it out. >> Closes it out. >> Tells the customer here there's a better solution, do it this way. >> Yeah, that's fascinating. >> I'd love to pull the camera back a little bit, right? You are not the SVP of support. You're the SVP of customer experience and engagement, right? That's an entirely different role in some ways, in that you're responsible for customer success at some level. >> That is correct, yeah. >> Talk a little bit about reconfiguring organization to be that-- >> So I think maybe dive in a little bit on the customer success. So we have a organization, they call technical account. It's part of the customer success organization. That's a human business but it's fascinating, right. We put these claims on clients and have them work together. They understand the business. It's an old business but trust me, having still a human in there understanding, okay this is customer x, y, z. That's the business objective, I talked about this today as well, not to forget, hey this customer actually wants to do whatever, whatever on the like an SIP to actually take that further to actually support case and doing that the team helps quite a bit. And then also the commitment, right? We don't want just to do support cases and then that's why you renew with Red Head, we want to make sure you actually get value out of it and that's why you want to renew. So that's why we configured different. It's bigger, right? It's bigger as in really making sure the product is correct. So that's why quality assurance is in my team, this support. That's why I run internal IT for the engineering team. We run the stuff that we sell actually earlier. And some of my team is like, Marco why do we have to do that? Because we learn and I much rather have you feel the pain than the customer feel the pain. That's why we configure different than, I've been 12 a half years right on this and it's still exciting that we are still able to change around-- >> I think the quality assurance piece is still big too cause you're in there as well. Looking at the QA. >> Yeah. >> Making sure that's good too. You're testing out the products and doing QA all within the mindset of customer experience. >> Exactly, and you've got to move that being agile, is more you see developers actually submitting test cases. Tests, so that's the component testing and the basic tests. What we got to do more, is what you mentioned, if somebody does less with Open Shift to contain all that, that thing together, if some service software defines storage, that thing together to bring together that's the hard drive. So I want to move more and more. That we take used spaces from customers, we'll close it. This is how we do it. X, y, z, customer and apply that. >> At the end of the day it's the same game different playing field. The customer wants choice, best possible solution experience, for them. You guys got to enable that, and then support it, make it happen. >> Yeah. >> And with cloud. >> And you see how, I don't know if you saw the demo yesterday when they show basically I think or Amazon was slower and every traffic that routed. This is reality as well, right? I mean if you look at one press release we did yesterday, I just find it a fascinating story. They're kitchen appliances. I don't know if you saw that. But they have over a million kitchen appliances or cooking appliances connected to the internet. It's a German, Swiss company when they got to upgrade the system so they get recipes done, they actually spin up instances in Alibaba in Asia and I think in Amazon in the U.S. They spin it up, they scale out all the appliances connect then they shrink it together. How do you support these customers a whole different case. >> That's great for the customer. >> Yeah. >> But more of a challenge for you guys. >> Then again with preparation of the right integration testing before, with the right set up that we know this is what the customer is doing this weekend. Amadeus as well, talked at the keynote, we worked long time with Amadeus. >> You're a smart team. >> As part of your customer role, you were involved with the Innovation awards. They were up on stage this morning. What struck me was they were both about time to value. And speed of deployment as well as scale. Often these were global companies, we had Amadeus on yesterday, spanning the globe. Huge number of transactions. Anything stand out to you in those Innovation Awards this year? Perhaps, that's been different in previous years? I think that the scale is actually interesting that you say. I think we have much quicker now. I think that's awesome, technology matures. I think we used to have more smaller work projects in getting to a certain scale. But I just goes faster. I think the controlled piece is probably a bit more accepted. This whole containerization is not magic anymore. I think a lot is being moved, is coming from the development side but also from the Linux side. So I think there's a less struggle of that. But I do still see some cultural struggles. You talk to customers, maybe not the Innovation Award winners. but even them they say, hey it took us a long time to convince internal structures, how we change things around. >> Talk about the open source role because you mentioned, before we came on how you guys are all in the open, an open source. Is there like a project that you're part of that supports centric? Is there certain things you're picking out over the source? As you guys do the QA and build you own stuff. >> Yeah we do a lot. We submit a lot to open. There's very few. We don't share data. We can't share customer data for obvious reasons. But tooling, most of the tooling we share if it's data collectors. We re an open source road. There' not much that we don't, there's nothing proprietary. Engineers, that's why they're coming to write. That's the configuration. They want to see, hey how does this stuff get applied. They own the packages, then some stuff is shared. If it's tied to the customer portal, the AI pieces maybe the open source parts of it but-- >> What's it like this year, for the folks who are watching who couldn't make it? What's the vibe here at Red Hat Summit 2018? What's the hallway conversations like? What's some of the dinners? What are you talking about? What's the chatter? >> I think the big chatter for me is kind of like this Open Shift, containers, agile development. You know the agile development comes back and back and really like how do we do this right? And tech connects obviously, how do you take application develop them or how do you take applications put them in a container. And then you see these demos. With multi cloud. >> New applications is not stand alone Linux anymore. >> Yeah. We have containers and tend to be able to run public cloud or multi cloud on premise. The options are endless. And I think that's the strengths from Red Hat. We prove that with Linux we can have a solid API. We don't screw up the applications. And if we can guarantee that across the four footprints, that's Paul's vision five, six years ago. I think we are there. >> You talked about a bit of cultural shift. How can Red Hat help it's customers come up to speed? That's a little bit...but be more agile. >> It's a good example. I think we do a lot of these sessions. I actually think that our sales motion, they are pretty aware with open sources, what the culture is. They do a lot of these sessions with customers. Jim Whitehurst is actually awesome. When he comes to clients. We did a C level event at a bank, based in Zurich and it was in a Swiss bank. And I think that they got like 140 C level, CIO groups. And Jim did a talk about the open organization about breaking down the barriers. I think that's a role that we play. Well some is Red Hat's role, but we go to do that stuff. Because we can share part of it in how we are configured, how we are different. >> I think that kind of thing is high on every CIO's list of agendas. >> And everything in the open is proving that open is winning. Open beats closed pretty much every time and is now pretty standard operating wise we're starting to see but operational wise, not just for software development. >> I actually think that from practice and how to run the company. Some stuff is transparency, right? If you work in a company that you're not transparent with your associates, can you really do this in 2018? >> No. >> And so I think those are elements that I think we do well to have had. And we got to keep internal as well, reminding ourselves, these core principles from open source are really important. >> Hiring, so you're bringing new Red Hatters in? >> At the rate we are hiring it's actually big concerns. How do we maintain this culture, right. This talk is not always polite but it's the way we function. >> You guys are humble. You're playing the long game, I love that about you. So congratulations Marco. Thanks for coming on the Cube show. >> Thanks very much. >> Thanks. >> It's the Cube Live here in San Francisco for Red Hat Summit 2018 here in Moscone West. I'm John Furrier and John Troyer. Stay with us for more live coverage after this short break. (upbeat music)

Published Date : May 9 2018

SUMMARY :

Brought to you buy, Red Hat. So, you guys have a great track record And be open to, you know I think Jim Whitehurst But multiple clouds you have different architectures. And that's where you got to glue together. You're using tech to help you guys out. I actually think that the next ten years But also you have to staff this up, right? I see the vision as in it would be less and less You kind of see it now with boss, as in we can automate it, but you can automate it. hey, you had this network issue or configured the wrong way, And one of the thing that comes up is the automation And you as the central provider, right, and this issue or you have this. I mean in the old days, first lines support, Based on all the support cases we fixed similar issues, Tells the customer here there's a better solution, You are not the SVP of support. We run the stuff that we sell actually earlier. I think the quality assurance piece is still big too You're testing out the products and doing QA all What we got to do more, is what you mentioned, At the end of the day it's the same game I don't know if you saw the demo yesterday that we know this is what the customer I think that the scale is actually interesting that you say. are all in the open, an open source. They own the packages, then some stuff is shared. And then you see these demos. I think we are there. That's a little bit...but be more agile. I think we do a lot of these sessions. I think that kind of thing is high And everything in the open is proving that If you work in a company that you're not transparent And we got to keep internal as well, reminding ourselves, This talk is not always polite but it's the way we function. You're playing the long game, I love that about you. It's the Cube Live here in San Francisco

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Nutanix .Next | NOLA | Day 1 | AM Keynote


 

>> PA Announcer: Off the plastic tab, and we'll turn on the colors. Welcome to New Orleans. ♪ This is it ♪ ♪ The part when I say I don't want ya ♪ ♪ I'm stronger than I've been before ♪ ♪ This is the part when I set your free ♪ (New Orleans jazz music) ("When the Saints Go Marching In") (rock music) >> PA Announcer: Ladies and gentleman, would you please welcome state of Louisiana chief design officer Matthew Vince and Choice Hotels director of infrastructure services Stacy Nigh. (rock music) >> Well good morning New Orleans, and welcome to my home state. My name is Matt Vince. I'm the chief design office for state of Louisiana. And it's my pleasure to welcome you all to .Next 2018. State of Louisiana is currently re-architecting our cloud infrastructure and Nutanix is the first domino to fall in our strategy to deliver better services to our citizens. >> And I'd like to second that warm welcome. I'm Stacy Nigh director of infrastructure services for Choice Hotels International. Now you may think you know Choice, but we don't own hotels. We're a technology company. And Nutanix is helping us innovate the way we operate to support our franchisees. This is my first visit to New Orleans and my first .Next. >> Well Stacy, you're in for a treat. New Orleans is known for its fabulous food and its marvelous music, but most importantly the free spirit. >> Well I can't wait, and speaking of free, it's my pleasure to introduce the Nutanix Freedom video, enjoy. ♪ I lose everything, so I can sing ♪ ♪ Hallelujah I'm free ♪ ♪ Ah, ah, ♪ ♪ Ah, ah, ♪ ♪ I lose everything, so I can sing ♪ ♪ Hallelujah I'm free ♪ ♪ I lose everything, so I can sing ♪ ♪ Hallelujah I'm free ♪ ♪ I'm free, I'm free, I'm free, I'm free ♪ ♪ Gritting your teeth, you hold onto me ♪ ♪ It's never enough, I'm never complete ♪ ♪ Tell me to prove, expect me to lose ♪ ♪ I push it away, I'm trying to move ♪ ♪ I'm desperate to run, I'm desperate to leave ♪ ♪ If I lose it all, at least I'll be free ♪ ♪ Ah, ah ♪ ♪ Ah, ah ♪ ♪ Hallelujah, I'm free ♪ >> PA Announcer: Ladies and gentlemen, please welcome chief marketing officer Ben Gibson ♪ Ah, ah ♪ ♪ Ah, ah ♪ ♪ Hallelujah, I'm free ♪ >> Welcome, good morning. >> Audience: Good morning. >> And welcome to .Next 2018. There's no better way to open up a .Next conference than by hearing from two of our great customers. And Matthew, thank you for welcoming us to this beautiful, your beautiful state and city. And Stacy, this is your first .Next, and I know she's not alone because guess what It's my first .Next too. And I come properly attired. In the front row, you can see my Nutanix socks, and I think my Nutanix blue suit. And I know I'm not alone. I think over 5,000 people in attendance here today are also first timers at .Next. And if you are here for the first time, it's in the morning, let's get moving. I want you to stand up, so we can officially welcome you into the fold. Everyone stand up, first time. All right, welcome. (audience clapping) So you are all joining not just a conference here. This is truly a community. This is a community of the best and brightest in our industry I will humbly say that are coming together to share best ideas, to learn what's happening next, and in particular it's about forwarding not only your projects and your priorities but your careers. There's so much change happening in this industry. It's an opportunity to learn what's coming down the road and learn how you can best position yourself for this whole new world that's happening around cloud computing and modernizing data center environments. And this is not just a community, this is a movement. And it's a movement that started quite awhile ago, but the first .Next conference was in the quiet little town of Miami, and there was about 800 of you in attendance or so. So who in this hall here were at that first .Next conference in Miami? Let me hear from you. (audience members cheering) Yep, well to all of you grizzled veterans of the .Next experience, welcome back. You have started a movement that has grown and this year across many different .Next conferences all over the world, over 20,000 of your community members have come together. And we like to do it in distributed architecture fashion just like here in Nutanix. And so we've spread this movement all over the world with .Next conferences. And this is surging. We're also seeing just today the current count 61,000 certifications and climbing. Our Next community, close to 70,000 active members of our online community because .Next is about this big moment, and it's about every other day and every other week of the year, how we come together and explore. And my favorite stat of all. Here today in this hall amongst the record 5,500 registrations to .Next 2018 representing 71 countries in whole. So it's a global movement. Everyone, welcome. And you know when I got in Sunday night, I was looking at the tweets and the excitement was starting to build and started to see people like Adile coming from Casablanca. Adile wherever you are, welcome buddy. That's a long trip. Thank you so much for coming and being here with us today. I saw other folks coming from Geneva, from Denmark, from Japan, all over the world coming together for this moment. And we are accomplishing phenomenal things together. Because of your trust in us, and because of some early risk candidly that we have all taken together, we've created a movement in the market around modernizing data center environments, radically simplifying how we operate in the services we deliver to our businesses everyday. And this is a movement that we don't just know about this, but the industry is really taking notice. I love this chart. This is Gartner's inaugural hyperconvergence infrastructure magic quadrant chart. And I think if you see where Nutanix is positioned on there, I think you can agree that's a rout, that's a homerun, that's a mic drop so to speak. What do you guys think? (audience clapping) But here's the thing. It says Nutanix up there. We can honestly say this is a win for this hall here. Because, again, without your trust in us and what we've accomplished together and your partnership with us, we're not there. But we are there, and it is thanks to everyone in this hall. Together we have created, expanded, and truly made this market. Congratulations. And you know what, I think we're just getting started. The same innovation, the same catalyst that we drove into the market to converge storage network compute, the next horizon is around multi-cloud. The next horizon is around whether by accident or on purpose the strong move with different workloads moving into public cloud, some into private cloud moving back and forth, the promise of application mobility, the right workload on the right cloud platform with the right economics. Economics is key here. If any of you have a teenager out there, and they have a hold of your credit card, and they're doing something online or the like. You get some surprises at the end of the month. And that surprise comes in the form of spiraling public cloud costs. And this isn't to say we're not going to see a lot of workloads born and running in public cloud, but the opportunity is for us to take a path that regains control over infrastructure, regain control over workloads and where they're run. And the way I look at it for everyone in this hall, it's a journey we're on. It starts with modernizing those data center environments, continues with embracing the full cloud stack and the compelling opportunity to deliver that consumer experience to rapidly offer up enterprise compute services to your internal clients, lines of businesses and then out into the market. It's then about how you standardize across an enterprise cloud environment, that you're not just the infrastructure but the management, the automation, the control, and running any tier one application. I hear this everyday, and I've heard this a lot already this week about customers who are all in with this approach and running those tier one applications on Nutanix. And then it's the promise of not only hyperconverging infrastructure but hyperconverging multiple clouds. And if we do that, this journey the way we see it what we are doing is building your enterprise cloud. And your enterprise cloud is about the private cloud. It's about expanding and managing and taking back control of how you determine what workload to run where, and to make sure there's strong governance and control. And you're radically simplifying what could be an awfully complicated scenario if you don't reclaim and put your arms around that opportunity. Now how do we do this different than anyone else? And this is going to be a big theme that you're going to see from my good friend Sunil and his good friends on the product team. What are we doing together? We're taking all of that legacy complexity, that friction, that inability to be able to move fast because you're chained to old legacy environments. I'm talking to folks that have applications that are 40 years old, and they are concerned to touch them because they're not sure if they can react if their infrastructure can meet the demands of a new, modernized workload. We're making all that complexity invisible. And if all of that is invisible, it allows you to focus on what's next. And that indeed is the spirit of this conference. So if the what is enterprise cloud, and the how we do it different is by making infrastructure invisible, data centers, clouds, then why are we all here today? What is the binding principle that spiritually, that emotionally brings us all together? And we think it's a very simple, powerful word, and that word is freedom. And when we think about freedom, we think about as we work together the freedom to build the data center that you've always wanted to build. It's about freedom to run the applications where you choose based on the information and the context that wasn't available before. It's about the freedom of choice to choose the right cloud platform for the right application, and again to avoid a lot of these spiraling costs in unanticipated surprises whether it be around security, whether it be around economics or governance that come to the forefront. It's about the freedom to invent. It's why we got into this industry in the first place. We want to create. We want to build things not keep the lights on, not be chained to mundane tasks day by day. And it's about the freedom to play. And I hear this time and time again. My favorite tweet from a Nutanix customer to this day is just updated a lot of nodes at 38,000 feed on United Wifi, on my way to spend vacation with my family. Freedom to play. This to me is emotionally what brings us all together and what you saw with the Freedom video earlier, and what you see here is this new story because we want to go out and spread the word and not only talk about the enterprise cloud, not only talk about how we do it better, but talk about why it's so compelling to be a part of this hall here today. Now just one note of housekeeping for everyone out there in case I don't want anyone to take a wrong turn as they come to this beautiful convention center here today. A lot of freedom going on in this convention center. As luck may have it, there's another conference going on a little bit down that way based on another high growth, disruptive industry. Now MJBizCon Next, and by coincidence it's also called next. And I have to admire the creativity. I have to admire that we do share a, hey, high growth business model here. And in case you're not quite sure what this conference is about. I'm the head of marketing here. I have to show the tagline of this. And I read the tagline from license to launch and beyond, the future of the, now if I can replace that blank with our industry, I don't know, to me it sounds like a new, cool Sunil product launch. Maybe launching a new subscription service or the like. Stay tuned, you never know. I think they're going to have a good time over there. I know we're going to have a wonderful week here both to learn as well as have a lot of fun particularly in our customer appreciation event tonight. I want to spend a very few important moments on .Heart. .Heart is Nutanix's initiative to promote diversity in the technology arena. In particular, we have a focus on advancing the careers of women and young girls that we want to encourage to move into STEM and high tech careers. You have the opportunity to engage this week with this important initiative. Please role the video, and let's learn more about how you can do so. >> Video Plays (electronic music) >> So all of you have received these .Heart tokens. You have the freedom to go and choose which of the four deserving charities can receive donations to really advance our cause. So I thank you for your engagement there. And this community is behind .Heart. And it's a very important one. So thank you for that. .Next is not the community, the moment it is without our wonderful partners. These are our amazing sponsors. Yes, it's about sponsorship. It's also about how we integrate together, how we innovate together, and we're about an open community. And so I want to thank all of these names up here for your wonderful sponsorship of this event. I encourage everyone here in this room to spend time, get acquainted, get reacquainted, learn how we can make wonderful music happen together, wonderful music here in New Orleans happen together. .Next isn't .Next with a few cool surprises. Surprise number one, we have a contest. This is a still shot from the Freedom video you saw right before I came on. We have strategically placed a lucky seven Nutanix Easter eggs in this video. And if you go to Nutanix.com/freedom, watch the video. You may have to use the little scrubbing feature to slow down 'cause some of these happen quickly. You're going to find some fun, clever Easter eggs. List all seven, tweet that out, or as many as you can, tweet that out with hashtag nextconf, C, O, N, F, and we'll have a random drawing for an all expenses paid free trip to .Next 2019. And just to make sure everyone understands Easter egg concept. There's an eighth one here that's actually someone that's quite famous in our circles. If you see on this still shot, there's someone in the back there with a red jacket on. That's not just anyone. We're targeting in here. That is our very own Julie O'Brien, our senior vice president of corporate marketing. And you're going to hear from Julie later on here at .Next. But Julie and her team are the engine and the creativity behind not only our new Freedom campaign but more importantly everything that you experience here this week. Julie and her team are amazing, and we can't wait for you to experience what they've pulled together for you. Another surprise, if you go and visit our Freedom booths and share your stories. So they're like video booths, you share your success stories, your partnerships, your journey that I talked about, you will be entered to win a beautiful Nutanix brand compliant, look at those beautiful colors, bicycle. And it's not just any bicycle. It's a beautiful bicycle made by our beautiful customer Trek. I actually have a Trek bike. I love cycling. Unfortunately, I'm not eligible, but all of you are. So please share your stories in the Freedom Nutanix's booths and put yourself in the running, or in the cycling to get this prize. One more thing I wanted to share here. Yesterday we had a great time. We had our inaugural Nutanix hackathon. This hackathon brought together folks that were in devops practices, many of you that are in this room. We sold out. We thought maybe we'd get four or five teams. We had to shutdown at 14 teams that were paired together with a Nutanix mentor, and you coded. You used our REST APIs. You built new apps that integrated in with Prism and Clam. And it was wonderful to see this. Everyone I talked to had a great time on this. We had three winners. In third place, we had team Copper or team bronze, but team Copper. Silver, Not That Special, they're very humble kind of like one of our key mission statements. And the grand prize winner was We Did It All for the Cookies. And you saw them coming in on our Mardi Gras float here. We Did It All for Cookies, they did this very creative job. They leveraged an Apple Watch. They were lighting up VMs at a moments notice utilizing a lot of their coding skills. Congratulations to all three, first, second, and third all receive $2,500. And then each of them, then were able to choose a charity to deliver another $2,500 including Ronald McDonald House for the winner, we did it all for the McDonald Land cookies, I suppose, to move forward. So look for us to do more of these kinds of events because we want to bring together infrastructure and application development, and this is a great, I think, start for us in this community to be able to do so. With that, who's ready to hear form Dheeraj? You ready to hear from Dheeraj? (audience clapping) I'm ready to hear from Dheeraj, and not just 'cause I work for him. It is my distinct pleasure to welcome on the stage our CEO, cofounder and chairman Dheeraj Pandey. ("Free" by Broods) ♪ Hallelujah, I'm free ♪ >> Thank you Ben and good morning everyone. >> Audience: Good morning. >> Thank you so much for being here. It's just such an elation when I'm thinking about the Mardi Gras crowd that came here, the partners, the customers, the NTCs. I mean there's some great NTCs up there I could relate to because they're on Slack as well. How many of you are in Slack Nutanix internal Slack channel? Probably 5%, would love to actually see this community grow from here 'cause this is not the only even we would love to meet you. We would love to actually do this in a real time bite size communication on our own internal Slack channel itself. Now today, we're going to talk about a lot of things, but a lot of hard things, a lot of things that take time to build and have evolved as the industry itself has evolved. And one of the hard things that I want to talk about is multi-cloud. Multi-cloud is a really hard problem 'cause it's full of paradoxes. It's really about doing things that you believe are opposites of each other. It's about frictionless, but it's also about governance. It's about being simple, and it's also about being secure at the same time. It's about delight, it's about reducing waste, it's about owning, and renting, and finally it's also about core and edge. How do you really make this big at a core data center whether it's public or private? Or how do you really shrink it down to one or two nodes at the edge because that's where your machines are, that's where your people are? So this is a really hard problem. And as you hear from Sunil and the gang there, you'll realize how we've actually evolved our solutions to really cater to some of these. One of the approaches that we have used to really solve some of these hard problems is to have machines do more, and I said a lot of things in those four words, have machines do more. Because if you double-click on that sentence, it really means we're letting design be at the core of this. And how do you really design data centers, how do you really design products for the data center that hush all the escalations, the details, the complexities, use machine-learning and AI and you know figure our anomaly detection and correlations and patter matching? There's a ton of things that you need to do to really have machines do more. But along the way, the important lesson is to make machines invisible because when machines become invisible, it actually makes something else visible. It makes you visible. It makes governance visible. It makes applications visible, and it makes services visible. A lot of things, it makes teams visible, careers visible. So while we're really talking about invisibility of machines, we're talking about visibility of people. And that's how we really brought all of you together in this conference as well because it makes all of us shine including our products, and your careers, and your teams as well. And I try to define the word customer success. You know it's one of the favorite words that I'm actually using. We've just hired a great leader in customer success recently who's really going to focus on this relatively hard problem, yet another hard problem of customer success. We think that customer success, true customer success is possible when we have machines tend towards invisibility. But along the way when we do that, make humans tend towards freedom. So that's the real connection, the yin-yang of machines and humans that Nutanix is really all about. And that's why design is at the core of this company. And when I say design, I mean reducing friction. And it's really about reducing friction. And everything we do, the most mundane of things which could be about migrating applications, spinning up VMs, self-service portals, automatic upgrades, and automatic scale out, and all the things we do is about reducing friction which really makes machines become invisible and humans gain freedom. Now one of the other convictions we have is how all of us are really tied at the hip. You know our success is tied to your success. If we make you successful, and when I say you, I really mean Main Street. Main Street being customers, and partners, and employees. If we make all of you successful, then we automatically become successful. And very coincidentally, Main Street and Wall Street are also tied in that very same relation as well. If we do a great job at Main Street, I think the Wall Street customer, i.e. the investor, will take care of itself. You'll have you know taken care of their success if we took care of Main Street success itself. And that's the narrative that our CFO Dustin Williams actually went and painted to our Wall Street investors two months ago at our investor day conference. We talked about a $3 billion number. We said look as a company, as a software company, we can go and achieve $3 billion in billings three years from now. And it was a telling moment for the company. It was really about talking about where we could be three years from now. But it was not based on a hunch. It was based on what we thought was customer success. Now realize that $3 billion in pure software. There's only 10 to 15 companies in the world that actually have that kind of software billings number itself. But at the core of this confidence was customer success, was the fact that we were doing a really good job of not over promising and under delivering but under promising starting with small systems and growing the trust of the customers over time. And this is one of the statistics we actually talk about is repeat business. The first dollar that a Global 2000 customer spends in Nutanix, and if we go and increase their trust 15 times by year six, and we hope to actually get 17 1/2 and 19 times more trust in the years seven and eight. It's very similar numbers for non Global 2000 as well. Again, we go and really hustle for customer success, start small, have you not worry about paying millions of dollars upfront. You know start with systems that pay as they grow, you pay as they grow, and that's the way we gain trust. We have the same non Global 2000 pay $6 1/2 for the first dollar they've actually spent on us. And with this, I think the most telling moment was when Dustin concluded. And this is key to this audience here as well. Is how the current cohorts which is this audience here and many of them were not here will actually carry the weight of $3 billion, more than 50% of it if we did a great job of customer success. If we were humble and honest and we really figured out what it meant to take care of you, and if we really understood what starting small was and having to gain the trust with you over time, we think that more than 50% of that billings will actually come from this audience here without even looking at new logos outside. So that's the trust of customer success for us, and it takes care of pretty much every customer not just the Main Street customer. It takes care of Wall Street customer. It takes care of employees. It takes care of partners as well. Now before I talk about technology and products, I want to take a step back 'cause many of you are new in this audience. And I think that it behooves us to really talk about the history of this company. Like we've done a lot of things that started out as science projects. In fact, I see some tweets out there and people actually laugh at Nutanix cloud. And this is where we were in 2012. So if you take a step back and think about where the company was almost seven, eight years ago, we were up against giants. There was a $30 billion industry around network attached storage, and storage area networks and blade servers, and hypervisors, and systems management software and so on. So what did we start out with? Very simple premise that we will collapse the architecture of the data center because three tier is wasteful and three tier is not delightful. It was a very simple hunch, we said we'll take rack mount servers, we'll put a layer of software on top of it, and that layer of software back then only did storage. It didn't do networks and security, and it ran on top of a well known hypervisor from VMware. And we said there's one non negotiable thing. The fact that the design must change. The control plane for this data center cannot be the old control plane. It has to be rethought through, and that's why Prism came about. Now we went and hustled hard to add more things to it. We said we need to make this diverse because it can't just be for one application. We need to make it CPU heavy, and memory heavy, and storage heavy, and flash heavy and so on. And we built a highly configurable HCI. Now all of them are actually configurable as you know of today. And this was not just innovation in technologies, it was innovation in business and sizing, capacity planning, quote to cash business processes. A lot of stuff that we had to do to make this highly configurable, so you can really scale capacity and performance independent of each other. Then in 2014, we did something that was very counterintuitive, but we've done this on, and on, and on again. People said why are you disrupting yourself? You know you've been doing a good job of shipping appliances, but we also had the conviction that HCI was not about hardware. It was about a form factor, but it was really about an operating system. And we started to compete with ourselves when we said you know what we'll do arm's length distribution, we'll do arm's length delivery of products when we give our software to our Dell partner, to Dell as a partner, a loyal partner. But at the same time, it was actually seen with a lot of skepticism. You know these guys are wondering how to really make themselves vanish because they're competing with themselves. But we also knew that if we didn't compete with ourselves someone else will. Now one of the most controversial decisions was really going and doing yet another hypervisor. In the year 2015, it was really preposterous to build yet another hypervisor. It was a very mature market. This was coming probably 15 years too late to the market, or at least 10 years too late to market. And most people said it shouldn't be done because hypervisor is a commodity. And that's the word we latched on to. That this commodity should not have to be paid for. It shouldn't have a team of people managing it. It should actually be part of your overall stack, but it should be invisible. Just like storage needs to be invisible, virtualization needs to be invisible. But it was a bold step, and I think you know at least when we look at our current numbers, 1/3rd of our customers are actually using AHV. At least every quarter that we look at it, our new deployments, at least 35% of it is actually being used on AHV itself. And again, a very preposterous thing to have said five years ago, four years ago to where we've actually come. Thank you so much for all of you who've believed in the fact that virtualization software must be invisible and therefore we should actually try out something that is called AHV today. Now we went and added Lenovo to our OEM mix, started to become even more of a software company in the year 2016. Went and added HP and Cisco in some of very large deals that we talk about in earnings call, our HP deals and Cisco deals. And some very large customers who have procured ELAs from us, enterprise license agreements from us where they want to mix and match hardware. They want to mix Dell hardware with HP hardware but have common standard Nutanix entitlements. And finally, I think this was another one of those moments where we say why should HCI be only limited to X86. You know this operating systems deserves to run on a non X86 architecture as well. And that gave birth to this idea of HCI and Power Systems from IBM. And we've done a great job of really innovating with them in the last three, four quarters. Some amazing innovation that has come out where you can now run AIX 7.x on Nutanix. And for the first time in the history of data center, you can actually have a single software not just a data plane but a control plane where you can manage an IBM farm, an Power farm, and open Power farm and an X86 farm from the same control plane and have you know the IBM farm feed storage to an Intel compute farm and vice versa. So really good things that we've actually done. Now along the way, something else was going on while we were really busy building the private cloud, we knew there was a new consumption model on computing itself. People were renting computing using credit cards. This is the era of the millennials. They were like really want to bypass people because at the end of the day, you know why can't computing be consumed the way like eCommerce is? And that devops movement made us realize that we need to add to our stack. That stack will now have other computing clouds that is AWS and Azure and GCP now. So similar to the way we did Prism. You know Prism was really about going and making hypervisors invisible. You know we went ahead and said we'll add Calm to our portfolio because Calm is now going to be what Prism was to us back when we were really dealing with multi hypervisor world. Now it's going to be multi-cloud world. You know it's one of those things we had a gut around, and we really come to expect a lot of feedback and real innovation. I mean yesterday when we had the hackathon. The center, the epicenter of the discussion was Calm, was how do you automate on multiple clouds without having to write a single line of code? So we've come a long way since the acquisition of Calm two years ago. I think it's going to be a strong pillar in our overall product portfolio itself. Now the word multi-cloud is going to be used and over used. In fact, it's going to be blurring its lines with the idea of hyperconvergence of clouds, you know what does it mean. We just hope that hyperconvergence, the way it's called today will morph to become hyperconverged clouds not just hyperconverged boxes which is a software defined infrastructure definition itself. But let's focus on the why of multi-cloud. Why do we think it can't all go into a public cloud itself? The one big reason is just laws of the land. There's data sovereignty and computing sovereignty, regulations and compliance because of which you need to be in where the government with the regulations where the compliance rules want you to be. And by the way, that's just one reason why the cloud will have to disperse itself. It can't just be 10, 20 large data centers around the world itself because you have 200 plus countries and half of computing actually gets done outside the US itself. So it's a really important, very relevant point about the why of multi-cloud. The second one is just simple laws of physics. You know if there're machines at the edge, and they're producing so much data, you can't bring all the data to the compute. You have to take the compute which is stateless, it's an app. You take the app to where the data is because the network is the enemy. The network has always been the enemy. And when we thought we've made fatter networks, you've just produced more data as well. So this just goes without saying that you take something that's stateless that's without gravity, that's lightweight which is compute and the application and push it close to where the data itself is. And the third one which is related is just latency reasons you know? And it's not just about machine latency and electrons transferring over the speed light, and you can't defy the speed of light. It's also about human latency. It's also about multiple teams saying we need to federate and delegate, and we need to push things down to where the teams are as opposed to having to expect everybody to come to a very large computing power itself. So all the ways, the way they are, there will be at least three different ways of looking at multi-cloud itself. There's a centralized core cloud. We all go and relate to this because we've seen large data centers and so on. And that's the back office workhorse. It will crunch numbers. It will do processing. It will do a ton of things that will go and produce results for you know how we run our businesses, but there's also the dispersal of the cloud, so ROBO cloud. And this is the front office server that's really serving. It's a cloud that's going to serve people. It's going to be closer to people, and that's what a ROBO cloud is. We have a ton of customers out here who actually use Nutanix and the ROBO environments themselves as one node, two node, three node, five node servers, and it just collapses the entire server closet room in these ROBOs into something really, really small and minuscule. And finally, there's going to be another dispersed edge cloud because that's where the machines are, that's where the data is. And there's going to be an IOT machine fog because we need to miniaturize computing to something even smaller, maybe something that can really land in the palm in a mini server which is a PC like server, but you need to run everything that's enterprise grade. You should be able to go and upgrade them and monitor them and analyze them. You know do enough computing up there, maybe event-based processing that can actually happen. In fact, there's some great innovation that we've done at the edge with IOTs that I'd love for all of you to actually attend some sessions around as well. So with that being said, we have a hole in the stack. And that hole is probably one of the hardest problems that we've been trying to solve for the last two years. And Sunil will talk a lot about that. This idea of hybrid. The hybrid of multi-cloud is one of the hardest problems. Why? Because we're talking about really blurring the lines with owning and renting where you have a single-tenant environment which is your data center, and a multi-tenant environment which is the service providers data center, and the two must look like the same. And the two must look like the same is that hard a problem not just for burst out capacity, not just for security, not just for identity but also for networks. Like how do you blur the lines between networks? How do you blur the lines for storage? How do you really blur the lines for a single pane of glass where you can think of availability zones that look highly symmetric even though they're not because one of 'em is owned by you, and it's single-tenant. The other one is not owned by you, that's multi-tenant itself. So there's some really hard problems in hybrid that you'll hear Sunil talk about and the team. And some great strides that we've actually made in the last 12 months of really working on Xi itself. And that completes the picture now in terms of how we believe the state of computing will be going forward. So what are the must haves of a multi-cloud operating system? We talked about marketplace which is catalogs and automation. There's a ton of orchestration that needs to be done for multi-cloud to come together because now you have a self-service portal which is providing an eCommerce view. It's really about you know getting to do a lot of requests and workflows without having people come in the way, without even having tickets. There's no need for tickets if you can really start to think like a self-service portal as if you're just transacting eCommerce with machines and portals themselves. Obviously the next one is networking security. You need to blur the lines between on-prem and off-prem itself. These two play a huge role. And there's going to be a ton of details that you'll see Sunil talk about. But finally, what I want to focus on the rest of the talk itself here is what governance and compliance. This is a hard problem, and it's a hard problem because things have evolved. So I'm going to take a step back. Last 30 years of computing, how have consumption models changed? So think about it. 30 years ago, we were making decisions for 10 plus years, you know? Mainframe, at least 10 years, probably 20 plus years worth of decisions. These were decisions that were extremely waterfall-ish. Make 10s of millions of dollars worth of investment for a device that we'd buy for at least 10 to 20 years. Now as we moved to client-server, that thing actually shrunk. Now you're talking about five years worth of decisions, and these things were smaller. So there's a little bit more velocity in our decisions. We were not making as waterfall-ish decision as we used to with mainframes. But still five years, talk about virtualized, three tier, maybe three to five year decisions. You know they're still relatively big decisions that we were making with computer and storage and SAN fabrics and virtualization software and systems management software and so on. And here comes Nutanix, and we said no, no. We need to make it smaller. It has to become smaller because you know we need to make more agile decisions. We need to add machines every week, every month as opposed to adding you know machines every three to five years. And we need to be able to upgrade them, you know any point in time. You can do the upgrades every month if you had to, every week if you had to and so on. So really about more agility. And yet, we were not complete because there's another evolution going on, off-prem in the public cloud where people are going and doing reserved instances. But more than that, they were doing on demand stuff which no the decision was days to weeks. Some of these things that unitive compute was being rented for days to weeks, not years. And if you needed something more, you'd shift a little to the left and use reserved instances. And then spot pricing, you could do spot pricing for hours and finally lambda functions. Now you could to function as a service where things could actually be running only for minutes not even hours. So as you can see, there's a wide spectrum where when you move to the right, you get more elasticity, and when you move to the left, you're talking about predictable decision making. And in fact, it goes from minutes on one side to 10s of years on the other itself. And we hope to actually go and blur the lines between where NTNX is today where you see Nutanix right now to where we really want to be with reserved instances and on demand. And that's the real ask of Nutanix. How do you take care of this discontinuity? Because when you're owning things, you actually end up here, and when you're renting things, you end up here. What does it mean to really blur the lines between these two because people do want to make decisions that are better than reserved instance in the public cloud. We'll talk about why reserved instances which looks like a proxy for Nutanix it's still very, very wasteful even though you might think it's delightful, it's very, very wasteful. So what does it mean for on-prem and off-prem? You know you talk about cost governance, there's security compliance. These high velocity decisions we're actually making you know where sometimes you could be right with cost but wrong on security, but sometimes you could be right in security but wrong on cost. We need to really figure out how machines make some of these decisions for us, how software helps us decide do we have the right balance between cost, governance, and security compliance itself? And to get it right, we have introduced our first SAS service called Beam. And to talk more about Beam, I want to introduce Vijay Rayapati who's the general manager of Beam engineering to come up on stage and talk about Beam itself. Thank you Vijay. (rock music) So you've been here a couple of months now? >> Yes. >> At the same time, you spent the last seven, eight years really handling AWS. Tell us more about it. >> Yeah so we spent a lot of time trying to understand the last five years at Minjar you know how customers are really consuming in this new world for their workloads. So essentially what we tried to do is understand the consumption models, workload patterns, and also build algorithms and apply intelligence to say how can we lower this cost and you know improve compliance of their workloads.? And now with Nutanix what we're trying to do is how can we converge this consumption, right? Because what happens here is most customers start with on demand kind of consumption thinking it's really easy, but the total cost of ownership is so high as the workload elasticity increases, people go towards spot or a scaling, but then you need a lot more automation that something like Calm can help them. But predictability of the workload increases, then you need to move towards reserved instances, right to lower costs. >> And those are some of the things that you go and advise with some of the software that you folks have actually written. >> But there's a lot of waste even in the reserved instances because what happens it while customers make these commitments for a year or three years, what we see across, like we track a billion dollars in public cloud consumption you know as a Beam, and customers use 20%, 25% of utilization of their commitments, right? So how can you really apply, take the data of consumption you know apply intelligence to essentially reduce their you know overall cost of ownership. >> You said something that's very telling. You said reserved instances even though they're supposed to save are still only 20%, 25% utilized. >> Yes, because the workloads are very dynamic. And the next thing is you can't do hot add CPU or hot add memory because you're buying them for peak capacity. There is no convergence of scaling that apart from the scaling as another node. >> So you actually sized it for peak, but then using 20%, 30%, you're still paying for the peak. >> That's right. >> Dheeraj: That can actually add up. >> That's what we're trying to say. How can we deliver visibility across clouds? You know how can we deliver optimization across clouds and consumption models and bring the control while retaining that agility and demand elasticity? >> That's great. So you want to show us something? >> Yeah absolutely. So this is Beam as just Dheeraj outlined, our first SAS service. And this is my first .Next. And you know glad to be here. So what you see here is a global consumption you know for a business across different clouds. Whether that's in a public cloud like Amazon, or Azure, or Nutanix. We kind of bring the consumption together for the month, the recent month across your accounts and services and apply intelligence to say you know what is your spent efficiency across these clouds? Essentially there's a lot of intelligence that goes in to detect your workloads and consumption model to say if you're spending $100, how efficiently are you spending? How can you increase that? >> So you have a centralized view where you're looking at multiple clouds, and you know you talk about maybe you can take an example of an account and start looking at it? >> Yes, let's go into a cloud provider like you know for this business, let's go and take a loot at what's happening inside an Amazon cloud. Here we get into the deeper details of what's happening with the consumption of a specific services as well as the utilization of both on demand and RI. You know what can you do to lower your cost and detect your spend efficiency of a dollar to see you know are there resources that are provisioned by teams for applications that are not being used, or are there resources that we should go and rightsize because you know we have all this monitoring data, configuration data that we crunch through to basically detect this? >> You think there's billions of events that you look at everyday. You're already looking at a billon dollars worth of AWS spend. >> Right, right. >> So billions of events, billing, metering events every year to really figure out and optimize for them. >> So what we have here is a very popular international government organization. >> Dheeraj: Wow, so it looks like Russians are everywhere, the cloud is everywhere actually. >> Yes, it's quite popular. So when you bring your master account into Beam, we kind of detect all the linked accounts you know under that. Then you can go and take a look at not just at the organization level within it an account level. >> So these are child objects, you know. >> That's right. >> You can think of them as ephemeral accounts that you create because you don't want to be on the record when you're doing spams on Facebook for example. >> Right, let's go and take a look at what's happening inside a Facebook ad spend account. So we have you know consumption of the services. Let's go deeper into compute consumption, and you kind of see a trendline. You can do a lot of computing. As you see, looks like one campaign has ended. They started another campaign. >> Dheeraj: It looks like they're not stopping yet, man. There's a lot of money being made in Facebook right now. (Vijay laughing) >> So not only just get visibility at you know compute as a service inside a cloud provider, you can go deeper inside compute and say you know what is a service that I'm really consuming inside compute along with the CPUs n'stuff, right? What is my data transfer? You know what is my network? What is my load blancers? So essentially you get a very deeper visibility you know as a service right. Because we have three goals for Beam. How can we deliver visibility across clouds? How can we deliver visibility across services? And how can we deliver, then optimization? >> Well I think one thing that I just want to point out is how this SAS application was an extremely teachable moment for me to learn about the different resources that people could use about the public cloud. So all of you who actually have not gone deep enough into the idea of public cloud. This could be a great app for you to learn about things, the resources, you know things that you could do to save and security and things of that nature. >> Yeah. And we really believe in creating the single pane view you know to mange your optimization of a public cloud. You know as Ben spoke about as a business, you need to have freedom to use any cloud. And that's what Beam delivers. How can you make the right decision for the right workload to use any of the cloud of your choice? >> Dheeraj: How 'about databases? You talked about compute as well but are there other things we could look at? >> Vijay: Yes, let's go and take a look at database consumption. What you see here is they're using inside Facebook ad spending, they're using all databases except Oracle. >> Dheeraj: Wow, looks like Oracle sales folks have been active in Russia as well. (Vijay laughing) >> So what we're seeing here is a global view of you know what is your spend efficiency and which is kind of a scorecard for your business for the dollars that you're spending. And the great thing is Beam kind of brings together you know through its intelligence and algorithms to detect you know how can you rightsize resources and how can you eliminate things that you're not using? And we deliver and one click fix, right? Let's go and take a look at resources that are maybe provisioned for storage and not being used. We deliver the seamless one-click philosophy that Nutanix has to eliminate it. >> So one click, you can actually just pick some of these wasteful things that might be looking delightful because using public cloud, using credit cards, you can go in and just say click fix, and it takes care of things. >> Yeah, and not only remove the resources that are unused, but it can go and rightsize resources across your compute databases, load balancers, even past services, right? And this is where the power of it kind of comes for a business whether you're using on-prem and off-prem. You know how can you really converge that consumption across both? >> Dheeraj: So do you have something for Nutanix too? >> Vijay: Yes, so we have basically been working on Nutanix with something that we're going to deliver you know later this year. As you can see here, we're bringing together the consumption for the Nutanix, you know the services that you're using, the licensing and capacity that is available. And how can you also go and optimize within Nutanix environments >> That's great. >> for the next workload. Now let me quickly show you what we have on the compliance side. This is an extremely powerful thing that we've been working on for many years. What we deliver here just like in cost governance, a global view of your compliance across cloud providers. And the most powerful thing is you can go into a cloud provider, get the next level of visibility across cloud regimes for hundreds of policies. Not just policies but those policies across different regulatory compliances like HIPA, PCI, CAS. And that's very powerful because-- >> So you're saying a lot of what you folks have done is codified these compliance checks in software to make sure that people can sleep better at night knowing that it's PCI, and HIPA, and all that compliance actually comes together? >> And you can build this not just by cloud accounts, you can build them across cloud accounts which is what we call security centers. Essentially you can go and take a deeper look at you know the things. We do a whole full body scan for your cloud infrastructure whether it's AWS Amazon or Azure, and you can go and now, again, click to fix things. You know that had been probably provisioned that are violating the security compliance rules that should be there. Again, we have the same one-click philosophy to say how can you really remove things. >> So again, similar to save, you're saying you can go and fix some of these security issues by just doing one click. >> Absolutely. So the idea is how can we give our people the freedom to get visibility and use the right cloud and take the decisions instantly through one click. That's what Beam delivers you know today. And you know get really excited, and it's available at beam.nutanix.com. >> Our first SAS service, ladies and gentleman. Thank you so much for doing this, Vijay. It looks like there's going to be a talk here at 10:30. You'll talk more about the midterm elections there probably? >> Yes, so you can go and write your own security compliances as well. You know within Beam, and a lot of powerful things you can do. >> Awesome, thank you so much, Vijay. I really appreciate it. (audience clapping) So as you see, there's a lot of work that we're doing to really make multi-cloud which is a hard problem. You know think about working the whole body of it and what about cost governance? What about security compliance? Obviously what about hybrid networks, and security, and storage, you know compute, many of the things that you've actually heard from us, but we're taking it to a level where the business users can now understand the implications. A CFO's office can understand the implications of waste and delight. So what does customer success mean to us? You know again, my favorite word in a long, long time is really go and figure out how do you make you, the customer, become operationally efficient. You know there's a lot of stuff that we deliver through software that's completely uncovered. It's so latent, you don't even know you have it, but you've paid for it. So you've got to figure out what does it mean for you to really become operationally efficient, organizationally proficient. And it's really important for training, education, stuff that you know you're people might think it's so awkward to do in Nutanix, but it could've been way simpler if you just told you a place where you can go and read about it. Of course, I can just use one click here as opposed to doing things the old way. But most importantly to make it financially accountable. So the end in all this is, again, one of the things that I think about all the time in building this company because obviously there's a lot of stuff that we want to do to create orphans, you know things above the line and top line and everything else. There's also a bottom line. Delight and waste are two sides of the same coin. You know when we're talking about developers who seek delight with public cloud at the same time you're looking at IT folks who're trying to figure out governance. They're like look you know the CFOs office, the CIOs office, they're trying to figure out how to curb waste. These two things have to go hand in hand in this era of multi-cloud where we're talking about frictionless consumption but also governance that looks invisible. So I think, at the end of the day, this company will do a lot of stuff around one-click delight but also go and figure out how do you reduce waste because there's so much waste including folks there who actually own Nutanix. There's so much software entitlement. There's so much waste in the public cloud itself that if we don't go and put our arms around, it will not lead to customer success. So to talk more about this, the idea of delight and the idea of waste, I'd like to bring on board a person who I think you know many of you actually have talked about it have delightful hair but probably wasted jokes. But I think has wasted hair and delightful jokes. So ladies and gentlemen, you make the call. You're the jury. Sunil R.M.J. Potti. ("Free" by Broods) >> So that was the first time I came out from the bottom of a screen on a stage. I actually now know what it feels to be like a gopher. Who's that laughing loudly at the back? Okay, do we have the... Let's see. Okay, great. We're about 15 minutes late, so that means we're running right on time. That's normally how we roll at this conference. And we have about three customers and four demos. Like I think there's about three plus six, about nine folks coming onstage. So we'll have our own version of the parade as well on the main stage for the next 70 minutes. So let's just jump right into it. I think we've been pretty consistent in terms of our longterm plans since we started the company. And it's become a lot more clearer over the last few years about our plans to essentially make computing invisible as Dheeraj mentioned. We're doing this across multiple acts. We started with HCI. We call it making infrastructure invisible. We extended that to making data centers invisible. And then now we're in this mode of essentially extending it to converging clouds so that you can actually converge your consumption models. And so today's conference and essentially the theme that you're going to be seeing throughout the breakout sessions is about a journey towards invisible clouds, but make sure that you internalize the fact that we're investing heavily in each of the three phases. It's just not about the hybrid cloud with Nutanix, it's about actually finishing the job about making infrastructure invisible, expanding that to kind of go after the full data center, and then of course embark on some real meaningful things around invisible clouds, okay? And to start the session, I think you know the part that I wanted to make sure that we are all on the same page because most of us in the room are still probably in this phase of the journey which is about invisible infrastructure. And there the three key products and especially two of them that most of you guys know are Acropolis and Prism. And they're sort of like the bedrock of our company. You know especially Acropolis which is about the web scale architecture. Prism is about consumer grade design. And with Acropolis now being really mature. It's in the seventh year of innovation. We still have more than half of our company in terms of R and D spend still on Acropolis and Prism. So our core product is still sort of where we think we have a significant differentiation on. We're not going to let our foot off the peddle there. You know every time somebody comes to me and says look there's a new HCI render popping out or an existing HCI render out there, I ask a simple question to our customers saying show me 100 customers with 100 node deployments, and it will be very hard to find any other render out there that does the same thing. And that's the power of Acropolis the code platform. And then it's you know the fact that the velocity associated with Acropolis continues to be on a fast pace. We came out with various new capabilities in 5.5 and 5.6, and one of the most complicated things to get right was the fact to shrink our three node cluster to a one node, two node deployment. Most of you actually had requirements on remote office, branch office, or the edge that actually allowed us to kind of give us you know sort of like the impetus to kind of go design some new capabilities into our core OS to get this out. And associated with Acropolis and expanding into Prism, as you will see, the first couple of years of Prism was all about refactoring the user interface, doing a good job with automation. But more and more of the investments around Prism is going to be based on machine learning. And you've seen some variants of that over the last 12 months, and I can tell you that in the next 12 to 24 months, most of our investments around infrastructure operations are going to be driven by AI techniques starting with most of our R and D spend also going into machine-learning algorithms. So when you talk about all the enhancements that have come on with Prism whether it be formed by you know the management console changing to become much more automated, whether now we give you automatic rightsizing, anomaly detection, or a series of functionality that have gone into it, the real core sort of capabilities that we're putting into Prism and Acropolis are probably best served by looking at the quality of the product. You probably have seen this slide before. We started showing the number of nodes shipped by Nutanix two years ago at this conference. It was about 35,000 plus nodes at that time. And since then, obviously we've you know continued to grow. And we would draw this line which was about enterprise class quality. That for the number of bugs found as a percentage of nodes shipped, there's a certain line that's drawn. World class companies do about probably 2% to 3%, number of CFDs per node shipped. And we were just broken that number two years ago. And to give you guys an idea of how that curve has shown up, it's now currently at .95%. And so along with velocity, you know this focus on being true to our roots of reliability and stability continues to be, you know it's an internal challenge, but it's also some of the things that we keep a real focus on. And so between Acropolis and Prism, that's sort of like our core focus areas to sort of give us the confidence that look we have this really high bar that we're sort of keeping ourselves accountable to which is about being the most advanced enterprise cloud OS on the planet. And we will keep it this way for the next 10 years. And to complement that, over a period of time of course, we've added a series of services. So these are services not just for VMs but also for files, blocks, containers, but all being delivered in that single one-click operations fashion. And to really talk more about it, and actually probably to show you the real deal there it's my great pleasure to call our own version of Moses inside the company, most of you guys know him as Steve Poitras. Come on up, Steve. (audience clapping) (rock music) >> Thanks Sunil. >> You barely fit in that door, man. Okay, so what are we going to talk about today, Steve? >> Absolutely. So when we think about when Nutanix first got started, it was really focused around VDI deployments, smaller workloads. However over time as we've evolved the product, added additional capabilities and features, that's grown from VDI to business critical applications as well as cloud native apps. So let's go ahead and take a look. >> Sunil: And we'll start with like Oracle? >> Yeah, that's one of the key ones. So here we can see our Prism central user interface, and we can see our Thor cluster obviously speaking to the Avengers theme here. We can see this is doing right around 400,000 IOPs at around 360 microseconds latency. Now obviously Prism central allows you to mange all of your Nutanix deployments, but this is just running on one single Nutanix cluster. So if we hop over here to our explore tab, we can see we have a few categories. We have some Kubernetes, some AFS, some Xen desktop as well as Oracle RAC. Now if we hope over to Oracle RAC, we're running a SLOB workload here. So obviously with Oracle enterprise applications performance, consistency, and extremely low latency are very critical. So with this SLOB workload, we're running right around 300 microseconds of latency. >> Sunil: So this is what, how many node Oracle RAC cluster is this? >> Steve: This is a six node Oracle RAC deployment. >> Sunil: Got it. And so what has gone into the product in recent releases to kind of make this happen? >> Yeah so obviously on the hardware front, there's been a lot of evolutions in storage mediums. So with the introduction of NVME, persistent memory technologies like 3D XPoint, that's meant storage media has become a lot faster. Now to allow you to full take advantage of that, that's where we've had to do a lot of optimizations within the storage stack. So with AHV, we have what we call AHV turbo mode which allows you to full take advantage of those faster storage mediums at that much lower latency. And then obviously on the networking front, technologies such as RDMA can be leveraged to optimize that network stack. >> Got it. So that was Oracle RAC running on a you know Nutanix cluster. It used to be a big deal a couple of years ago. Now we've got many customers doing that. On the same environment though, we're going to show you is the advent of actually putting file services in the same scale out environment. And you know many of you in the audience probably know about AFS. We released it about 12 to 14 months ago. It's been one of our most popular new products of all time within Nutanix's history. And we had SMB support was for user file shares, VDI deployments, and it took awhile to bake, to get to scale and reliability. And then in the last release, in the recent release that we just shipped, we now added NFS for support so that we can no go after the full scale file server consolidation. So let's take a look at some of that stuff. >> Yep, let's do it. So hopping back over to Prism, we can see our four cluster here. Overall cluster-wide latency right around 360 microseconds. Now we'll hop down to our file server section. So here we can see we have our Next A File Server hosting right about 16.2 million files. Now if you look at our shares and exports, we can see we have a mix of different shares. So one of the shares that you see there is home directories. This is an SMB share which is actually mapped and being leveraged by our VDI desktops for home folders, user profiles, things of that nature. We can also see this Oracle backup share here which is exposed to our rack host via NFS. So RMAN is actually leveraging this to provide native database backups. >> Got it. So Oracle VMs, backup using files, or for any other file share requirements with AFS. Do we have the cluster also showing, I know, so I saw some Kubernetes as well on it. Let's talk about what we're thinking of doing there. >> Yep, let's do it. So if we think about cloud, cloud's obviously a big buzz word, so is containers in Kubernetes. So with ACS 1.0 what we did is we introduced native support for Docker integration. >> And pause there. And we screwed up. (laughing) So just like the market took a left turn on Kubernetes, obviously we realized that, and now we're working on ACS 2.0 which is what we're going to talk about, right? >> Exactly. So with ACS 2.0, we've introduced native Kubernetes support. Now when I think about Kubernetes, there's really two core areas that come to mind. The first one is around native integration. So with that, we have our Kubernetes volume integration, we're obviously doing a lot of work on the networking front, and we'll continue to push there from an integration point of view. Now the other piece is around the actual deployment of Kubernetes. When we think about a lot of Nutanix administrators or IT admins, they may have never deployed Kubernetes before, so this could be a very daunting task. And true to the Nutanix nature, we not only want to make our platform simple and intuitive, we also want to do this for any ecosystem products. So with ACS 2.0, we've simplified the full Kubernetes deployment and switching over to our ACS two interface, we can see this create cluster button. Now this actually pops up a full wizard. This wizard will actually walk you through the full deployment process, gather the necessary inputs for you, and in a matter of a few clicks and a few minutes, we have a full Kubernetes deployment fully provisioned, the masters, the workers, all the networking fully done for you, very simple and intuitive. Now if we hop back over to Prism, we can see we have this ACS2 Kubernetes category. Clicking on that, we can see we have eight instances of virtual machines. And here are Kubernetes virtual machines which have actually been deployed as part of this ACS2 installer. Now one of the nice things is it makes the IT administrator's job very simple and easy to do. The deployment straightforward monitoring and management very straightforward and simple. Now for the developer, the application architect, or engineers, they interface and interact with Kubernetes just like they would traditionally on any platform. >> Got it. So the goal of ACS is to ensure that the developer ecosystem still uses whatever tools that they are you know preferring while at that same time allowing this consolidation of containers along with VMs all on that same, single runtime, right? So that's ACS. And then if you think about where the OS is going, there's still some open space at the end. And open space has always been look if you just look at a public cloud, you look at blocks, files, containers, the most obvious sort of storage function that's left is objects. And that's the last horizon for us in completing the storage stack. And we're going to show you for the first time a preview of an upcoming product called the Acropolis Object Storage Services Stack. So let's talk a little bit about it and then maybe show the demo. >> Yeah, so just like we provided file services with AFS, block services with ABS, with OSS or Object Storage Services, we provide native object storage, compatibility and capability within the Nutanix platform. Now this provides a very simply common S3 API. So any integrations you've done with S3 especially Kubernetes, you can actually leverage that out of the box when you've deployed this. Now if we hop back over to Prism, I'll go here to my object stores menu. And here we can see we have two existing object storage instances which are running. So you can deploy however many of these as you wanted to. Now just like the Kubernetes deployment, deploying a new object instance is very simple and easy to do. So here I'll actually name this instance Thor's Hammer. >> You do know he loses it, right? He hasn't seen the movies yet. >> Yeah, I don't want any spoilers yet. So once we specified the name, we can choose our capacity. So here we'll just specify a large instance or type. Obviously this could be any amount or storage. So if you have a 200 node Nutanix cluster with petabytes worth of data, you could do that as well. Once we've selected that, we'll select our expected performance. And this is going to be the number of concurrent gets and puts. So essentially how many operations per second we want this instance to be able to facilitate. Once we've done that, the platform will actually automatically determine how many virtual machines it needs to deploy as well as the resources and specs for those. And once we've done that, we'll go ahead and click save. Now here we can see it's actually going through doing the deployment of the virtual machines, applying any necessary configuration, and in the matter of a few clicks and a few seconds, we actually have this Thor's Hammer object storage instance which is up and running. Now if we hop over to one of our existing object storage instances, we can see this has three buckets. So one for Kafka-queue, I'm actually using this for my Kafka cluster where I have right around 62 million objects all storing ProtoBus. The second one there is Spark. So I actually have a Spark cluster running on our Kubernetes deployed instance via ACS 2.0. Now this is doing analytics on top of this data using S3 as a storage backend. Now for these objects, we support native versioning, native object encryption as well as worm compliancy. So if you want to have expiry periods, retention intervals, that sort of thing, we can do all that. >> Got it. So essentially what we've just shown you is with upcoming objects as well that the same OS can now support VMs, files, objects, containers, all on the same one click operational fabric. And so that's in some way the real power of Nutanix is to still keep that consistency, scalability in place as we're covering each and every workload inside the enterprise. So before Steve gets off stage though, I wanted to talk to you guys a little bit about something that you know how many of you been to our Nutanix headquarters in San Jose, California? A few. I know there's like, I don't know, 4,000 or 5,000 people here. If you do come to the office, you know when you land in San Jose Airport on the way to longterm parking, you'll pass our office. It's that close. And if you come to the fourth floor, you know one of the cubes that's where I sit. In the cube beside me is Steve. Steve sits in the cube beside me. And when I first joined the company, three or four years ago, and Steve's if you go to his cube, it no longer looks like this, but it used to have a lot of this stuff. It was like big containers of this. I remember the first time. Since I started joking about it, he started reducing it. And then Steve eventually got married much to our surprise. (audience laughing) Much to his wife's surprise. And then he also had a baby as a bigger surprise. And if you come over to our office, and we welcome you, and you come to the fourth floor, find my cube or you'll find Steve's Cube, it now looks like this. Okay, so thanks a lot, my man. >> Cool, thank you. >> Thanks so much. (audience clapping) >> So single OS, any workload. And like Steve who's been with us for awhile, it's my great pleasure to invite one of our favorite customers, CSC Karen who's also been with us for three to four years. And I'll share some fond memories about how she's been with the company for awhile, how as partners we've really done a lot together. So without any further ado, let me bring up Karen. Come on up, Karen. (rock music) >> Thank you for having me. >> Yeah, thank you. So I remember, so how many of you guys were with Nutanix first .Next in Miami? I know there was a question like that asked last time. Not too many. You missed it. We wished we could go back to that. We wouldn't fit 3/4s of this crowd. But Karen was our first customer in the keynote in 2015. And we had just talked about that story at that time where you're just become a customer. Do you want to give us some recap of that? >> Sure. So when we made the decision to move to hyperconverged infrastructure and chose Nutanix as our partner, we rapidly started to deploy. And what I mean by that is Sunil and some of the Nutanix executives had come out to visit with us and talk about their product on a Tuesday. And on a Wednesday after making the decision, I picked up the phone and said you know what I've got to deploy for my VDI cluster. So four nodes showed up on Thursday. And from the time it was plugged in to moving over 300 VDIs and 50 terabytes of storage and turning it over for the business for use was less than three days. So it was really excellent testament to how simple it is to start, and deploy, and utilize the Nutanix infrastructure. Now part of that was the delight that we experienced from our customers after that deployment. So we got phone calls where people were saying this report it used to take so long that I'd got out and get a cup of coffee and come back, and read an article, and do some email, and then finally it would finish. Those reports are running in milliseconds now. It's one click. It's very, very simple, and we've delighted our customers. Now across that journey, we have gone from the simple workloads like VDIs to the much more complex workloads around Splunk and Hadoop. And what's really interesting about our Splunk deployment is we're handling over a billion events being logged everyday. And the deployment is smaller than what we had with a three tiered infrastructure. So when you hear people talk about waste and getting that out and getting to an invisible environment where you're just able to run it, that's what we were able to achieve both with everything that we're running from our public facing websites to the back office operations that we're using which include Splunk and even most recently our Cloudera and Hadoop infrastructure. What it does is it's got 30 crawlers that go out on the internet and start bringing data back. So it comes back with over two terabytes of data everyday. And then that environment, ingests that data, does work against it, and responds to the business. And that again is something that's smaller than what we had on traditional infrastructure, and it's faster and more stable. >> Got it. And it covers a lot of use cases as well. You want to speak a few words on that? >> So the use cases, we're 90%, 95% deployed on Nutanix, and we're covering all of our use cases. So whether that's a customer facing app or a back office application. And what are business is doing is it's handling large portfolios of data for fortune 500 companies and law firms. And these applications are all running with improved stability, reliability, and performance on the Nutanix infrastructure. >> And the plan going forward? >> So the plan going forward, you actually asked me that in Miami, and it's go global. So when we started in Miami and that first deployment, we had four nodes. We now have 283 nodes around the world, and we started with about 50 terabytes of data. We've now got 3.8 petabytes of data. And we're deployed across four data centers and six remote offices. And people ask me often what is the value that we achieved? So simplification. It's all just easier, and it's all less expensive. Being able to scale with the business. So our Cloudera environment ended up with one day where it spiked to 1,000 times more load, 1,000 times, and it just responded. We had rally cries around improved productivity by six times. So 600% improved productivity, and we were able to actually achieve that. The numbers you just saw on the slide that was very, very fast was we calculated a 40% reduction in total cost of ownership. We've exceeded that. And when we talk about waste, that other number on the board there is when I saved the company one hour of maintenance activity or unplanned downtime in a month which we're now able to do the majority of our maintenance activities without disrupting any of our business solutions, I'm saving $750,000 each time I save that one hour. >> Wow. All right, Karen from CSE. Thank you so much. That was great. Thank you. I mean you know some of these data points frankly as I started talking to Karen as well as some other customers are pretty amazing in terms of the genuine value beyond financial value. Kind of like the emotional sort of benefits that good products deliver to some of our customers. And I think that's one of the core things that we take back into engineering is to keep ourselves honest on either velocity or quality even hiring people and so forth. Is to actually the more we touch customers lives, the more we touch our partner's lives, the more it allows us to ensure that we can put ourselves in their shoes to kind of make sure that we're doing the right thing in terms of the product. So that was the first part, invisible infrastructure. And our goal, as we've always talked about, our true North is to make sure that this single OS can be an exact replica, a truly modern, thoughtful but original design that brings the power of public cloud this AWS or GCP like architectures into your mainstream enterprises. And so when we take that to the next level which is about expanding the scope to go beyond invisible infrastructure to invisible data centers, it starts with a few things. Obviously, it starts with virtualization and a level of intelligent management, extends to automation, and then as we'll talk about, we have to embark on encompassing the network. And that's what we'll talk about with Flow. But to start this, let me again go back to one of our core products which is the bedrock of our you know opinionated design inside this company which is Prism and Acropolis. And Prism provides, I mentioned, comes with a ton of machine-learning based intelligence built into the product in 5.6 we've done a ton of work. In fact, a lot of features are coming out now because now that PC, Prism Central that you know has been decoupled from our mainstream release strain and will continue to release on its own cadence. And the same thing when you actually flip it to AHV on its own train. Now AHV, two years ago it was all about can I use AHV for VDI? Can I use AHV for ROBO? Now I'm pretty clear about where you cannot use AHV. If you need memory overcome it, stay with VMware or something. If you need, you know Metro, stay with another technology, else it's game on, right? And if you really look at the adoption of AHV in the mainstream enterprise, the customers now speak for themselves. These are all examples of large global enterprises with multimillion dollar ELAs in play that have now been switched over. Like I'll give you a simple example here, and there's lots of these that I'm sure many of you who are in the audience that are in this camp, but when you look at the breakout sessions in the pods, you'll get a sense of this. But I'll give you one simple example. If you look at the online payment company. I'm pretty sure everybody's used this at one time or the other. They had the world's largest private cloud on open stack, 21,000 nodes. And they were actually public about it three or four years ago. And in the last year and a half, they put us through a rigorous VOC testing scale, hardening, and it's a full blown AHV only stack. And they've started cutting over. Obviously they're not there yet completely, but they're now literally in hundreds of nodes of deployment of Nutanix with AHV as their primary operating system. So it is primetime from a deployment perspective. And with that as the base, no cloud is complete without actually having self-service provisioning that truly drives one-click automation, and can you do that in this consumer grade design? And Calm was acquired, as you guys know, in 2016. We had a choice of taking Calm. It was reasonably feature complete. It supported multiple clouds. It supported ESX, it supported Brownfield, It supported AHV. I mean they'd already done the integration with Nutanix even before the acquisition. And we had a choice. The choice was go down the path of dynamic ops or some other products where you took it for revenue or for acceleration, you plopped it into the ecosystem and sold it at this power sucking alien on top of our stack, right? Or we took a step back, re-engineered the product, kept some of the core essence like the workflow engine which was good, the automation, the object model and all, but refactored it to make it look like a natural extension of our operating system. And that's what we did with Calm. And we just launched it in December, and it's been one of our most popular new products now that's flying off the shelves. If you saw the number of registrants, I got a notification of this for the breakout sessions, the number one session that has been preregistered with over 500 people, the first two sessions are around Calm. And justifiably so because it just as it lives up to its promise, and it'll take its time to kind of get to all the bells and whistles, all the capabilities that have come through with AHV or Acropolis in the past. But the feature functionality, the product market fit associated with Calm is dead on from what the feedback that we can receive. And so Calm itself is on its own rapid cadence. We had AWS and AHV in the first release. Three or four months later, we now added ESX support. We added GCP support and a whole bunch of other capabilities, and I think the essence of Calm is if you can combine Calm and along with private cloud automation but also extend it to multi-cloud automation, it really sets Nutanix on its first genuine path towards multi-cloud. But then, as I said, if you really fixate on a software defined data center message, we're not complete as a full blown AWS or GCP like IA stack until we do the last horizon of networking. And you probably heard me say this before. You heard Dheeraj and others talk about it before is our problem in networking isn't the same in storage. Because the data plane in networking works. Good L2 switches from Cisco, Arista, and so forth, but the real problem networking is in the control plane. When something goes wrong at a VM level in Nutanix, you're able to identify whether it's a storage problem or a compute problem, but we don't know whether it's a VLAN that's mis-configured, or there've been some packets dropped at the top of the rack. Well that all ends now with Flow. And with Flow, essentially what we've now done is take the work that we've been working on to create built-in visibility, put some network automation so that you can actually provision VLANs when you provision VMs. And then augment it with micro segmentation policies all built in this easy to use, consume fashion. But we didn't stop there because we've been talking about Flow, at least the capabilities, over the last year. We spent significant resources building it. But we realized that we needed an additional thing to augment its value because the world of applications especially discovering application topologies is a heady problem. And if we didn't address that, we wouldn't be fulfilling on this ambition of providing one-click network segmentation. And so that's where Netsil comes in. Netsil might seem on the surface yet another next generation application performance management tool. But the innovations that came from Netsil started off at the research project at the University of Pennsylvania. And in fact, most of the team right now that's at Nutanix is from the U Penn research group. And they took a really original, fresh look at how do you sit in a network in a scale out fashion but still reverse engineer the packets, the flow through you, and then recreate this application topology. And recreate this not just on Nutanix, but do it seamlessly across multiple clouds. And to talk about the power of Flow augmented with Netsil, let's bring Rajiv back on stage, Rajiv. >> How you doing? >> Okay so we're going to start with some Netsil stuff, right? >> Yeah, let's talk about Netsil and some of the amazing capabilities this acquisition's bringing to Nutanix. First of all as you mentioned, Netsil's completely non invasive. So it installs on the network, it does all its magic from there. There're no host agents, non of the complexity and compatibility issues that entails. It's also monitoring the network at layer seven. So it's actually doing a deep packet inspection on all your application data, and can give you insights into services and APIs which is very important for modern applications and the way they behave. To do all this of course performance is key. So Netsil's built around a completely distributed architecture scaled to really large workloads. Very exciting technology. We're going to use it in many different ways at Nutanix. And to give you a flavor of that, let me show you how we're thinking of integrating Flow and Nestil together, so micro segmentation and Netsil. So to do that, we install Netsil in one of our Google accounts. And that's what's up here now. It went out there. It discovered all the VMs we're running on that account. It created a map essentially of all their interactions, and you can see it's like a Google Maps view. I can zoom into it. I can look at various things running. I can see lots of HTTP servers over here, some databases. >> Sunil: And it also has stats, right? You can go, it actually-- >> It does. We can take a look at that for a second. There are some stats you can look at right away here. Things like transactions per second and latencies and so on. But if I wanted to micro segment this application, it's not really clear how to do so. There's no real pattern over here. Taking the Google Maps analogy a little further, this kind of looks like the backstreets of Cairo or something. So let's do this step by step. Let me first filter down to one application. Right now I'm looking at about three or four different applications. And Netsil integrates with the metadata. So this is that the clouds provide. So I can search all the tags that I have. So by doing that, I can zoom in on just the financial application. And when I do this, the view gets a little bit simpler, but there's still no real pattern. It's not clear how to micro segment this, right? And this is where the power of Netsil comes in. This is a fairly naive view. This is what tool operating at layer four just looking at ports and TCP traffic would give you. But by doing deep packet inspection, Netsil can get into the services layer. So instead of grouping these interactions by hostname, let's group them by service. So you go service tier. And now you can see this is a much simpler picture. Now I have some patterns. I have a couple of load balancers, an HA proxy and an Nginx. I have a web application front end. I have some application servers running authentication services, search services, et cetera, a database, and a database replica. I could go ahead and micro segment at this point. It's quite possible to do it at this point. But this is almost too granular a view. We actually don't usually want to micro segment at individual service level. You think more in terms of application tiers, the tiers that different services belong to. So let me go ahead and group this differently. Let me group this by app tier. And when I do that, a really simple picture emerges. I have a load balancing tier talking to a web application front end tier, an API tier, and a database tier. Four tiers in my application. And this is something I can work with. This is something that I can micro segment fairly easily. So let's switch over to-- >> Before we dot that though, do you guys see how he gave himself the pseudonym called Dom Toretto? >> Focus Sunil, focus. >> Yeah, for those guys, you know that's not the Avengers theme, man, that's the Fast and Furious theme. >> Rajiv: I think a year ahead. This is next years theme. >> Got it, okay. So before we cut over from Netsil to Flow, do we want to talk a few words about the power of Flow, and what's available in 5.6? >> Sure so Flow's been around since the 5.6 release. Actually some of the functionality came in before that. So it's got invisibility into the network. It helps you debug problems with WLANs and so on. We had a lot of orchestration with other third party vendors with load balancers, with switches to make publishing much simpler. And then of course with our most recent release, we GA'ed our micro segmentation capabilities. And that of course is the most important feature we have in Flow right now. And if you look at how Flow policy is set up, it looks very similar to what we just saw with Netsil. So we have load blancer talking to a web app, API, database. It's almost identical to what we saw just a moment ago. So while this policy was created manually, it is something that we can automate. And it is something that we will do in future releases. Right now, it's of course not been integrated at that level yet. So this was created manually. So one thing you'll notice over here is that the database tier doesn't get any direct traffic from the internet. All internet traffic goes to the load balancer, only specific services then talk to the database. So this policy right now is in monitoring mode. It's not actually being enforced. So let's see what happens if I try to attack the database, I start a hack against the database. And I have my trusty brute force password script over here. It's trying the most common passwords against the database. And if I happen to choose a dictionary word or left the default passwords on, eventually it will log into the database. And when I go back over here in Flow what happens is it actually detects there's now an ongoing a flow, a flow that's outside of policy that's shown up. And it shows this in yellow. So right alongside the policy, I can visualize all the noncompliant flows. This makes it really easy for me now to make decisions, does this flow should it be part of the policy, should it not? In this particular case, obviously it should not be part of the policy. So let me just switch from monitoring mode to enforcement mode. I'll apply the policy, give it a second to propagate. The flow goes away. And if I go back to my script, you can see now the socket's timing out. I can no longer connect to the database. >> Sunil: Got it. So that's like one click segmentation and play right now? >> Absolutely. It's really, really simple. You can compare it to other products in the space. You can't get simpler than this. >> Got it. Why don't we got back and talk a little bit more about, so that's Flow. It's shipping now in 5.6 obviously. It'll come integrated with Netsil functionality as well as a variety of other enhancements in that next few releases. But Netsil does more than just simple topology discovery, right? >> Absolutely. So Netsil's actually gathering a lot of metrics from your network, from your host, all this goes through a data pipeline. It gets processed over there and then gets captured in a time series database. And then we can slice and dice that in various different ways. It can be used for all kinds of insights. So let's see how our application's behaving. So let me say I want to go into the API layer over here. And I instantly get a variety of metrics on how the application's behaving. I get the most requested endpoints. I get the average latency. It looks reasonably good. I get the average latency of the slowest endpoints. If I was having a performance problem, I would know exactly where to go focus on. Right now, things look very good, so we won't focus on that. But scrolling back up, I notice that we have a fairly high error rate happening. We have like 11.35% of our HTTP requests are generating errors, and that deserves some attention. And if I scroll down again, and I see the top five status codes I'm getting, almost 10% of my requests are generating 500 errors, HTTP 500 errors which are internal server errors. So there's something going on that's wrong with this application. So let's dig a little bit deeper into that. Let me go into my analytics workbench over here. And what I've plotted over here is how my HTTP requests are behaving over time. Let me filter down to just the 500 ones. That will make it easier. And I want the 500s. And I'll also group this by the service tier so that I can see which services are causing the problem. And the better view for this would be a bar graph. Yes, so once I do this, you can see that all the errors, all the 500 errors that we're seeing have been caused by the authentication service. So something's obviously wrong with that part of my application. I can go look at whether Active Directory is misbehaving and so on. So very quickly from a broad problem that I was getting a high HTTP error rate. In fact, usually you will discover there's this customer complaining about a lot of errors happening in your application. You can quickly narrow down to exactly what the cause was. >> Got it. This is what we mean by hyperconvergence of the network which is if you can truly isolate network related problems and associate them with the rest of the hyperconvergence infrastructure, then we've essentially started making real progress towards the next level of hyperconvergence. Anyway, thanks a lot, man. Great job. >> Thanks, man. (audience clapping) >> So to talk about this evolution from invisible infrastructure to invisible data centers is another customer of ours that has embarked on this journey. And you know it's not just using Nutanix but a variety of other tools to actually fulfill sort of like the ambition of a full blown cloud stack within a financial organization. And to talk more about that, let me call Vijay onstage. Come on up, Vijay. (rock music) >> Hey. >> Thank you, sir. So Vijay looks way better in real life than in a picture by the way. >> Except a little bit of gray. >> Unlike me. So tell me a little bit about this cloud initiative. >> Yeah. So we've won the best cloud initiative twice now hosted by Incisive media a large magazine. It's basically they host a bunch of you know various buy side, sell side, and you can submit projects in various categories. So we've won the best cloud twice now, 2015 and 2017. The 2017 award is when you know as part of our private cloud journey we were laying the foundation for our private cloud which is 100% based on hyperconverged infrastructure. So that was that award. And then 2017, we've kind of built on that foundation and built more developer-centric next gen app services like PAS, CAS, SDN, SDS, CICD, et cetera. So we've built a lot of those services on, and the second award was really related to that. >> Got it. And a lot of this was obviously based on an infrastructure strategy with some guiding principles that you guys had about three or four years ago if I remember. >> Yeah, this is a great slide. I use it very often. At the core of our infrastructure strategy is how do we run IT as a business? I talk about this with my teams, they were very familiar with this. That's the mindset that I instill within the teams. The mission, the challenge is the same which is how do we scale infrastructure while reducing total cost of ownership, improving time to market, improving client experience and while we're doing that not lose sight of reliability, stability, and security? That's the mission. Those are some of our guiding principles. Whenever we take on some large technology investments, we take 'em through those lenses. Obviously Nutanix went through those lenses when we invested in you guys many, many years ago. And you guys checked all the boxes. And you know initiatives change year on year, the mission remains the same. And more recently, the last few years, we've been focused on converged platforms, converged teams. We've actually reorganized our teams and aligned them closer to the platforms moving closer to an SRE like concept. >> And then you've built out a full stack now across computer storage, networking, all the way with various use cases in play? >> Yeah, and we're aggressively moving towards PAS, CAS as our method of either developing brand new cloud native applications or even containerizing existing applications. So the stack you know obviously built on Nutanix, SDS for software fine storage, compute and networking we've got SDN turned on. We've got, again, PAS and CAS built on this platform. And then finally, we've hooked our CICD tooling onto this. And again, the big picture was always frictionless infrastructure which we're very close to now. You know 100% of our code deployments into this environment are automated. >> Got it. And so what's the net, net in terms of obviously the business takeaway here? >> Yeah so at Northern we don't do tech for tech. It has to be some business benefits, client benefits. There has to be some outcomes that we measure ourselves against, and these are some great metrics or great ways to look at if we're getting the outcomes from the investments we're making. So for example, infrastructure scale while reducing total cost of ownership. We're very focused on total cost of ownership. We, for example, there was a build team that was very focus on building servers, deploying applications. That team's gone down from I think 40, 45 people to about 15 people as one example, one metric. Another metric for reducing TCO is we've been able to absorb additional capacity without increasing operating expenses. So you're actually building capacity in scale within your operating model. So that's another example. Another example, right here you see on the screen. Faster time to market. We've got various types of applications at any given point that we're deploying. There's a next gen cloud native which go directly on PAS. But then a majority of the applications still need the traditional IS components. The time to market to deploy a complex multi environment, multi data center application, we've taken that down by 60%. So we can deliver server same day, but we can deliver entire environments, you know add it to backup, add it to DNS, and fully compliant within a couple of weeks which is you know something we measure very closely. >> Great job, man. I mean that's a compelling I think results. And in the journey obviously you got promoted a few times. >> Yep. >> All right, congratulations again. >> Thank you. >> Thanks Vijay. >> Hey Vijay, come back here. Actually we forgot our joke. So razzled by his data points there. So you're supposed to wear some shoes, right? >> I know my inner glitch. I was going to wear those sneakers, but I forgot them at the office maybe for the right reasons. But the story behind those florescent sneakers, I see they're focused on my shoes. But I picked those up two years ago at a Next event, and not my style. I took 'em to my office. They've been sitting in my office for the last couple years. >> Who's received shoes like these by the way? I'm sure you guys have received shoes like these. There's some real fans there. >> So again, I'm sure many of you liked them. I had 'em in my office. I've offered it to so many of my engineers. Are you size 11? Do you want these? And they're unclaimed? >> So that's the only feature of Nutanix that you-- >> That's the only thing that hasn't worked, other than that things are going extremely well. >> Good job, man. Thanks a lot. >> Thanks. >> Thanks Vijay. So as we get to the final phase which is obviously as we embark on this multi-cloud journey and the complexity that comes with it which Dheeraj hinted towards in his session. You know we have to take a cautious, thoughtful approach here because we don't want to over set expectations because this will take us five, 10 years to really do a good job like we've done in the first act. And the good news is that the market is also really, really early here. It's just a fact. And so we've taken a tiered approach to it as we'll start the discussion with multi-cloud operations, and we've talked about the stack in the prior session which is about look across new clouds. So it's no longer Nutanix, Dell, Lenova, HP, Cisco as the new quote, unquote platforms. It's Nutanix, Xi, GCP, AWS, Azure as the new platforms. That's how we're designing the fabric going forward. On top of that, you obviously have the hybrid OS both on the data plane side and control plane side. Then what you're seeing with the advent of Calm doing a marketplace and automation as well as Beam doing governance and compliance is the fact that you'll see more and more such capabilities of multi-cloud operations burnt into the platform. And example of that is Calm with the new 5.7 release that they had. Launch supports multiple clouds both inside and outside, but the fundamental premise of Calm in the multi-cloud use case is to enable you to choose the right cloud for the right workload. That's the automation part. On the governance part, and this we kind of went through in the last half an hour with Dheeraj and Vijay on stage is something that's even more, if I can call it, you know first order because you get the provisioning and operations second. The first order is to say look whatever my developers have consumed off public cloud, I just need to first get our arm around to make sure that you know what am I spending, am I secure, and then when I get comfortable, then I am able to actually expand on it. And that's the power of Beam. And both Beam and Calm will be the yin and yang for us in our multi-cloud portfolio. And we'll have new products to complement that down the road, right? But along the way, that's the whole private cloud, public cloud. They're the two ends of the barbell, and over time, and we've been working on Xi for awhile, is this conviction that we've built talking to many customers that there needs to be another type of cloud. And this type of a cloud has to feel like a public cloud. It has to be architected like a public cloud, be consumed like a public cloud, but it needs to be an extension of my data center. It should not require any changes to my tooling. It should not require and changes to my operational infrastructure, and it should not require lift and shift, and that's a super hard problem. And this problem is something that a chunk of our R and D team has been burning the midnight wick on for the last year and a half. Because look this is not about taking our current OS which does a good job of scaling and plopping it into a Equinix or a third party data center and calling it a hybrid cloud. This is about rebuilding things in the OS so that we can deliver a true hybrid cloud, but at the same time, give those functionality back on premises so that even if you don't have a hybrid cloud, if you just have your own data centers, you'll still need new services like DR. And if you think about it, what are we doing? We're building a full blown multi-tenant virtual network designed in a modern way. Think about this SDN 2.0 because we have 10 years worth of looking backwards on how GCP has done it, or how Amazon has done it, and now sort of embodying some of that so that we can actually give it as part of this cloud, but do it in a way that's a seamless extension of the data center, and then at the same time, provide new services that have never been delivered before. Everyone obviously does failover and failback in DR it just takes months to do it. Our goal is to do it in hours or minutes. But even things such as test. Imagine doing a DR test on demand for you business needs in the middle of the day. And that's the real bar that we've set for Xi that we are working towards in early access later this summer with GA later in the year. And to talk more about this, let me invite some of our core architects working on it, Melina and Rajiv. (rock music) Good to see you guys. >> You're messing up the names again. >> Oh Rajiv, Vinny, same thing, man. >> You need to back up your memory from Xi. >> Yeah, we should. Okay, so what are we going to talk about, Vinny? >> Yeah, exactly. So today we're going to talk about how Xi is pushing the envelope and beyond the state of the art as you were saying in the industry. As part of that, there's a whole bunch of things that we have done starting with taking a private cloud, seamlessly extending it to the public cloud, and then creating a hybrid cloud experience with one-click delight. We're going to show that. We've done a whole bunch of engineering work on making sure the operations and the tooling is identical on both sides. When you graduate from a private cloud to a hybrid cloud environment, you don't want the environments to be different. So we've copied the environment for you with zero manual intervention. And finally, building on top of that, we are delivering DR as a service with unprecedented simplicity with one-click failover, one-click failback. We're going to show you one click test today. So Melina, why don't we start with showing how you go from a private cloud, seamlessly extend it to consume Xi. >> Sounds good, thanks Vinny. Right now, you're looking at my Prism interface for my on premises cluster. In one-click, I'm going to be able to extend that to my Xi cloud services account. I'm doing this using my my Nutanix credential and a password manager. >> Vinny: So here as you notice all the Nutanix customers we have today, we have created an account for them in Xi by default. So you don't have to log in somewhere and create an account. It's there by default. >> Melina: And just like that we've gone ahead and extended my data center. But let's go take a look at the Xi side and log in again with my my Nutanix credentials. We'll see what we have over here. We're going to be able to see two availability zones, one for on premises and one for Xi right here. >> Vinny: Yeah as you see, using a log in account that you already knew mynutanix.com and 30 seconds in, you can see that you have a hybrid cloud view already. You have a private cloud availability zone that's your own Prism central data center view, and then a Xi availability zone. >> Sunil: Got it. >> Melina: Exactly. But of course we want to extend my network connection from on premises to my Xi networks as well. So let's take a look at our options there. We have two ways of doing this. Both are one-click experience. With direct connect, you can create a dedicated network connection between both environments, or VPN you can use a public internet and a VPN service. Let's go ahead and enable VPN in this environment. Here we have two options for how we want to enable our VPN. We can bring our own VPN and connect it, or we will deploy a VPN for you on premises. We'll do the option where we deploy the VPN in one-click. >> And this is another small sign or feature that we're building net new as part of Xi, but will be burned into our core Acropolis OS so that we can also be delivering this as a stand alone product for on premises deployment as well, right? So that's one of the other things to note as you guys look at the Xi functionality. The goal is to keep the OS capabilities the same on both sides. So even if I'm building a quote, unquote multi data center cloud, but it's just a private cloud, you'll still get all the benefits of Xi but in house. >> Exactly. And on this second step of the wizard, there's a few inputs around how you want the gateway configured, your VLAN information and routing and protocol configuration details. Let's go ahead and save it. >> Vinny: So right now, you know what's happening is we're taking the private network that our customers have on premises and extending it to a multi-tenant public cloud such that our customers can use their IP addresses, the subnets, and bring their own IP. And that is another step towards making sure the operation and tooling is kept consistent on both sides. >> Melina: Exactly. And just while you guys were talking, the VPN was successfully created on premises. And we can see the details right here. You can track details like the status of the connection, the gateway, as well as bandwidth information right in the same UI. >> Vinny: And networking is just tip of the iceberg of what we've had to work on to make sure that you get a consistent experience on both sides. So Melina, why don't we show some of the other things we've done? >> Melina: Sure, to talk about how we preserve entities from my on-premises to Xi, it's better to use my production environment. And first thing you might notice is the log in screen's a little bit different. But that's because I'm logging in using my ADFS credentials. The first thing we preserved was our users. In production, I'm running AD obviously on-prem. And now we can log in here with the same set of credentials. Let me just refresh this. >> And this is the Active Directory credential that our customers would have. They use it on-premises. And we allow the setting to be set on the Xi cloud services as well, so it's the same set of users that can access both sides. >> Got it. There's always going to be some networking problem onstage. It's meant to happen. >> There you go. >> Just launching it again here. I think it maybe timed out. This is a good sign that we're running on time with this presentation. >> Yeah, yeah, we're running ahead of time. >> Move the demos quicker, then we'll time out. So essentially when you log into Xi, you'll be able to see what are the environment capabilities that we have copied to the Xi environment. So for example, you just saw that the same user is being used to log in. But after the use logs in, you'll be able to see their images, for example, copied to the Xi side. You'll be able to see their policies and categories. You know when you define these policies on premises, you spend a lot of effort and create them. And now when you're extending to the public cloud, you don't want to do it again, right? So we've done a whole lot of syncing mechanisms making sure that the two sides are consistent. >> Got it. And on top of these policies, the next step is to also show capabilities to actually do failover and failback, but also do integrated testing as part of this compatibility. >> So one is you know just the basic job of making the environments consistent on two sides, but then it's also now talking about the data part, and that's what DR is about. So if you have a workload running on premises, we can take the data and replicate it using your policies that we've already synced. Once the data is available on the Xi side, at that point, you have to define a run book. And the run book essentially it's a recovery plan. And that says okay I already have the backups of my VMs in case of disaster. I can take my recovery plan and hit you know either failover or maybe a test. And then my application comes up. First of all, you'll talk about the boot order for your VMs to come up. You'll talk about networking mapping. Like when I'm running on-prem, you're using a particular subnet. You have an option of using the same subnet on the Xi side. >> Melina: There you go. >> What happened? >> Sunil: It's finally working.? >> Melina: Yeah. >> Vinny, you can stop talking. (audience clapping) By the way, this is logging into a live Xi data center. We have two regions West Coat, two data centers East Coast, two data centers. So everything that you're seeing is essentially coming off the mainstream Xi profile. >> Vinny: Melina, why don't we show the recovery plan. That's the most interesting piece here. >> Sure. The recovery plan is set up to help you specify how you want to recover your applications in the event of a failover or a test failover. And it specifies all sorts of details like the boot sequence for the VMs as well as network mappings. Some of the network mappings are things like the production network I have running on premises and how it maps to my production network on Xi or the test network to the test network. What's really cool here though is we're actually automatically creating your subnets on Xi from your on premises subnets. All that's part of the recovery plan. While we're on the screen, take a note of the .100 IP address. That's a floating IP address that I have set up to ensure that I'm going to be able to access my three tier web app that I have protected with this plan after a failover. So I'll be able to access it from the public internet really easily from my phone or check that it's all running. >> Right, so given how we make the environment consistent on both sides, now we're able to create a very simple DR experience including failover in one-click, failback. But we're going to show you test now. So Melina, let's talk about test because that's one of the most common operations you would do. Like some of our customers do it every month. But usually it's very hard. So let's see how the experience looks like in what we built. >> Sure. Test and failover are both one-click experiences as you know and come to expect from Nutanix. You can see it's failing over from my primary location to my recovery location. Now what we're doing right now is we're running a series of validation checks because we want to make sure that you have your network configured properly, and there's other configuration details in place for the test to be successful. Looks like the failover was initiated successfully. Now while that failover's happening though, let's make sure that I'm going to be able to access my three tier web app once it fails over. We'll do that by looking at my network policies that I've configured on my test network. Because I want to access the application from the public internet but only port 80. And if we look here under our policies, you can see I have port 80 open to permit. So that's good. And if I needed to create a new one, I could in one click. But it looks like we're good to go. Let's go back and check the status of my recovery plan. We click in, and what's really cool here is you can actually see the individual tasks as they're being completed from that initial validation test to individual VMs being powered on as part of the recovery plan. >> And to give you guys an idea behind the scenes, the entire recovery plan is actually a set of workflows that are built on Calm's automation engine. So this is an example of where we're taking some of power of workflow and automation that Clam has come to be really strong at and burning that into how we actually operationalize many of these workflows for Xi. >> And so great, while you were explaining that, my three tier web app has restarted here on Xi right in front of you. And you can see here there's a floating IP that I mentioned early that .100 IP address. But let's go ahead and launch the console and make sure the application started up correctly. >> Vinny: Yeah, so that .100 IP address is a floating IP that's a publicly visible IP. So it's listed here, 206.80.146.100. And that's essentially anybody in the audience here can go use your laptop or your cell phone and hit that and start to work. >> Yeah so by the way, just to give you guys an idea while you guys maybe use the IP to kind of hit it, is a real set of VMs that we've just failed over from Nutanix's corporate data center into our West region. >> And this is running live on the Xi cloud. >> Yeah, you guys should all go and vote. I'm a little biased towards Xi, so vote for Xi. But all of them are really good features. >> Scroll up a little bit. Let's see where Xi is. >> Oh Xi's here. I'll scroll down a little bit, but keep the... >> Vinny: Yes. >> Sunil: You guys written a block or something? >> Melina: Oh good, it looks like Xi's winning. >> Sunil: Okay, great job, Melina. Thank you so much. >> Thank you, Melina. >> Melina: Thanks. >> Thank you, great job. Cool and calm under pressure. That's good. So that was Xi. What's something that you know we've been doing around you know in addition to taking say our own extended enterprise public cloud with Xi. You know we do recognize that there are a ton of workloads that are going to be residing on AWS, GCP, Azure. And to sort of really assist in the try and call it transformation of enterprises to choose the right cloud for the right workload. If you guys remember, we actually invested in a tool over last year which became actually quite like one of those products that took off based on you know groundswell movement. Most of you guys started using it. It's essentially extract for VMs. And it was this product that's obviously free. It's a tool. But it enables customers to really save tons of time to actually migrate from legacy environments to Nutanix. So we took that same framework, obviously re-platformed it for the multi-cloud world to kind of solve the problem of migrating from AWS or GCP to Nutanix or vice versa. >> Right, so you know, Sunil as you said, moving from a private cloud to the public cloud is a lift and shift, and it's a hard you know operation. But moving back is not only expensive, it's a very hard problem. None of the cloud vendors provide change block tracking capability. And what that means is when you have to move back from the cloud, you have an extended period of downtime because there's now way of figuring out what's changing while you're moving. So you have to keep it down. So what we've done with our app mobility product is we have made sure that, one, it's extremely simple to move back. Two, that the downtime that you'll have is as small as possible. So let me show you what we've done. >> Got it. >> So here is our app mobility capability. As you can see, on the left hand side we have a source environment and target environment. So I'm calling my AWS environment Asgard. And I can add more environments. It's very simple. I can select AWS and then put in my credentials for AWS. It essentially goes and discovers all the VMs that are running and all the regions that they're running. Target environment, this is my Nutanix environment. I call it Earth. And I can add target environment similarly, IP address and credentials, and we do the rest. Right, okay. Now migration plans. I have Bifrost one as my migration plan, and this is how migration works. First you create a plan and then say start seeding. And what it does is takes a snapshot of what's running in the cloud and starts migrating it to on-prem. Once it is an on-prem and the difference between the two sides is minimal, it says I'm ready to cutover. At that time, you move it. But let me show you how you'd create a new migration plan. So let me name it, Bifrost 2. Okay so what I have to do is select a region, so US West 1, and target Earth as my cluster. This is my storage container there. And very quickly you can see these are the VMs that are running in US West 1 in AWS. I can select SQL server one and two, go to next. Right now it's looking at the target Nutanix environment and seeing it had enough space or not. Once that's good, it gives me an option. And this is the step where it enables the Nutanix service of change block tracking overlaid on top of the cloud. There are two options one is automatic where you'll give us the credentials for your VMs, and we'll inject our capability there. Or manually you could do. You could copy the command either in a windows VM or Linux VM and run it once on the VM. And change block tracking since then in enabled. Everything is seamless after that. Hit next. >> And while Vinny's setting it up, he said a few things there. I don't know if you guys caught it. One of the hardest problems in enabling seamless migration from public cloud to on-prem which makes it harder than the other way around is the fact that public cloud doesn't have things like change block tracking. You can't get delta copies. So one of the core innovations being built in this app mobility product is to provide that overlay capability across multiple clouds. >> Yeah, and the last step here was to select the target network where the VMs will come up on the Nutanix environment, and this is a summary of the migration plan. You can start it or just save it. I'm saving it because it takes time to do the seeding. I have the other plan which I'll actually show the cutover with. Okay so now this is Bifrost 1. It's ready to cutover. We started it four hours ago. And here you can see there's a SQL server 003. Okay, now I would like to show the AWS environment. As you can see, SQL server 003. This VM is actually running in AWS right now. And if you go to the Prism environment, and if my login works, right? So we can go into the virtual machine view, tables, and you see the VM is not there. Okay, so we go back to this, and we can hit cutover. So this is essentially telling our system, okay now it the time. Quiesce the VM running in AWS, take the last bit of changes that you have to the database, ship it to on-prem, and in on-prem now start you know configure the target VM and start bringing it up. So let's go and look at AWS and refresh that screen. And you should see, okay so the SQL server is now stopping. So that means it has quiesced and stopping the VM there. If you go back and look at the migration plan that we had, it says it's completed. So it has actually migrated all the data to the on-prem side. Go here on-prem, you see the production SQL server is running already. I can click launch console, and let's see. The Windows VM is already booting up. >> So essentially what Vinny just showed was a live cutover of an AWS VM to Nutanix on-premises. >> Yeah, and what we have done. (audience clapping) So essentially, this is about making two things possible, making it simple to migrate from cloud to on-prem, and making it painless so that the downtime you have is very minimal. >> Got it, great job, Vinny. I won't forget your name again. So last step. So to really talk about this, one of our favorite partners and customers has been in the cloud environment for a long time. And you know Jason who's the CTO of Cyxtera. And he'll introduce who Cyxtera is. Most of you guys are probably either using their assets or not without knowing their you know the new name. But is someone that was in the cloud before it was called cloud as one of the original founders and technologists behind Terremark, and then later as one of the chief architects of VMware's cloud. And then they started this new company about a year or so ago which I'll let Jason talk about. This journey that he's going to talk about is how a partner, slash customer is working with us to deliver net new transformations around the traditional industry of colo. Okay, to talk more about it, Jason, why don't you come up on stage, man? (rock music) Thank you, sir. All right so Cyxtera obviously a lot of people don't know the name. Maybe just give a 10 second summary of why you're so big already. >> Sure, so Cyxtera was formed, as you said, about a year ago through the acquisition of the CenturyLink data centers. >> Sunil: Which includes Savvis and a whole bunch of other assets. >> Yeah, there's a long history of those data centers, but we have all of them now as well as the software companies owned by Medina capital. So we're like the world's biggest startup now. So we have over 50 data centers around the world, about 3,500 customers, and a portfolio of security and analytics software. >> Sunil: Got it, and so you have this strategy of what we're calling revolutionizing colo deliver a cloud based-- >> Yeah so, colo hasn't really changed a lot in the last 20 years. And to be fair, a lot of what happens in data centers has to have a person physically go and do it. But there are some things that we can simplify and automate. So we want to make things more software driven, so that's what we're doing with the Cyxtera extensible data center or CXD. And to do that, we're deploying software defined networks in our facilities and developing automations so customers can go and provision data center services and the network connectivity through a portal or through REST APIs. >> Got it, and what's different now? I know there's a whole bunch of benefits with the integrated platform that one would not get in the traditional kind of on demand data center environment. >> Sure. So one of the first services we're launching on CXD is compute on demand, and it's powered by Nutanix. And we had to pick an HCI partner to launch with. And we looked at players in the space. And as you mentioned, there's actually a lot of them, more than I thought. And we had a lot of conversations, did a lot of testing in the lab, and Nutanix really stood out as the best choice. You know Nutanix has a lot of focus on things like ease of deployment. So it's very simple for us to automate deploying compute for customers. So we can use foundation APIs to go configure the servers, and then we turn those over to the customer which they can then manage through Prism. And something important to keep in mind here is that you know this isn't a manged service. This isn't infrastructure as a service. The customer has complete control over the Nutanix platform. So we're turning that over to them. It's connected to their network. They're using their IP addresses, you know their tools and processes to operate this. So it was really important for the platform we picked to have a really good self-service story for things like you know lifecycle management. So with one-click upgrade, customers have total control over patches and upgrades. They don't have to call us to do it. You know they can drive that themselves. >> Got it. Any other final words around like what do you see of the partnership going forward? >> Well you know I think this would be a great platform for Xi, so I think we should probably talk about that. >> Yeah, yeah, we should talk about that separately. Thanks a lot, Jason. >> Thanks. >> All right, man. (audience clapping) So as we look at the full journey now between obviously from invisible infrastructure to invisible clouds, you know there is one thing though to take away beyond many updates that we've had so far. And the fact is that everything that I've talked about so far is about completing a full blown true IA stack from all the way from compute to storage, to vitualization, containers to network services, and so forth. But every public cloud, a true cloud in that sense, has a full blown layer of services that's set on top either for traditional workloads or for new workloads, whether it be machine-learning, whether it be big data, you know name it, right? And in the enterprise, if you think about it, many of these services are being provisioned or provided through a bunch of our partners. Like we have partnerships with Cloudera for big data and so forth. But then based on some customer feedback and a lot of attention from what we've seen in the industry go out, just like AWS, and GCP, and Azure, it's time for Nutanix to have an opinionated view of the past stack. It's time for us to kind of move up the stack with our own offering that obviously adds value but provides some of our core competencies in data and takes it to the next level. And it's in that sense that we're actually launching Nutanix Era to simplify one of the hardest problems in enterprise IT and short of saving you from true Oracle licensing, it solves various other Oracle problems which is about truly simplifying databases much like what RDS did on AWS, imagine enterprise RDS on demand where you can provision, lifecycle manage your database with one-click. And to talk about this powerful new functionality, let me invite Bala and John on stage to give you one final demo. (rock music) Good to see you guys. >> Yep, thank you. >> All right, so we've got lots of folks here. They're all anxious to get to the next level. So this demo, really rock it. So what are we going to talk about? We're going to start with say maybe some database provisioning? Do you want to set it up? >> We have one dream, Sunil, one single dream to pass you off, that is what Nutanix is today for IT apps, we want to recreate that magic for devops and get back those weekends and freedom to DBAs. >> Got it. Let's start with, what, provisioning? >> Bala: Yep, John. >> Yeah, we're going to get in provisioning. So provisioning databases inside the enterprise is a significant undertaking that usually involves a myriad of resources and could take days. It doesn't get any easier after that for the longterm maintence with things like upgrades and environment refreshes and so on. Bala and team have been working on this challenge for quite awhile now. So we've architected Nutanix Era to cater to these enterprise use cases and make it one-click like you said. And Bala and I are so excited to finally show this to the world. We think it's actually Nutanix's best kept secrets. >> Got it, all right man, let's take a look at it. >> So we're going to be provisioning a sales database today. It's a four-step workflow. The first part is choosing our database engine. And since it's our sales database, we want it to be highly available. So we'll do a two node rack configuration. From there, it asks us where we want to land this service. We can either land it on an existing service that's already been provisioned, or if we're starting net new or for whatever reason, we can create a new service for it. The key thing here is we're not asking anybody how to do the work, we're asking what work you want done. And the other key thing here is we've architected this concept called profiles. So you tell us how much resources you need as well as what network type you want and what software revision you want. This is actually controlled by the DBAs. So DBAs, and compute administrators, and network administrators, so they can set their standards without having a DBA. >> Sunil: Got it, okay, let's take a look. >> John: So if we go to the next piece here, it's going to personalize their database. The key thing here, again, is that we're not asking you how many data files you want or anything in that regard. So we're going to be provisioning this to Nutanix's best practices. And the key thing there is just like these past services you don't have to read dozens of pages of best practice guides, it just does what's best for the platform. >> Sunil: Got it. And so these are a multitude of provisioning steps that normally one would take I guess hours if not days to provision and Oracle RAC data. >> John: Yeah, across multiple teams too. So if you think about the lifecycle especially if you have onshore and offshore resources, I mean this might even be longer than days. >> Sunil: Got it. And then there are a few steps here, and we'll lead into potentially the Time Machine construct too? >> John: Yeah, so since this is a critical database, we want data protection. So we're going to be delivering that through a feature called Time Machines. We'll leave this at the defaults for now, but the key thing to not here is we've got SLAs that deliver both continuous data protection as well as telescoping checkpoints for historical recovery. >> Sunil: Got it. So that's provisioning. We've kicked off Oracle, what, two node database and so forth? >> John: Yep, two node database. So we've got a handful of tasks that this is going to automate. We'll check back in in a few minutes. >> Got it. Why don't we talk about the other aspects then, Bala, maybe around, one of the things that, you know and I know many of you guys have seen this, is the fact that if you look at database especially Oracle but in general even SQL and so forth is the fact that look if you really simplified it to a developer, it should be as simple as I copy my production database, and I paste it to create my own dev instance. And whenever I need it, I need to obviously do it the opposite way, right? So that was the goal that we set ahead for us to actually deliver this new past service around Era for our customers. So you want to talk a little bit more about it? >> Sure Sunil. If you look at most of the data management functionality, they're pretty much like flavors of copy paste operations on database entities. But the trouble is the seemingly simple, innocuous operations of our daily lives becomes the most dreaded, complex, long running, error prone operations in data center. So we actually planned to tame this complexity and bring consumer grade simplicity to these operations, also make these clones extremely efficient without compromising the quality of service. And the best part is, the customers can enjoy these services not only for databases running on Nutanix, but also for databases running on third party systems. >> Got it. So let's take a look at this functionality of I guess snapshoting, clone and recovery that you've now built into the product. >> Right. So now if you see the core feature of this whole product is something we call Time Machine. Time Machine lets the database administrators actually capture the database tape to the granularity of seconds and also lets them create clones, refresh them to any point in time, and also recover the databases if the databases are running on the same Nutanix platform. Let's take a look at the demo with the Time Machine. So here is our customer relationship database management database which is about 2.3 terabytes. If you see, the Time Machine has been active about four months, and SLA has been set for continuously code revision of 30 days and then slowly tapers off 30 days of daily backup and weekly backups and so on, so forth. On the right hand side, you will see different colors. The green color is pretty much your continuously code revision, what we call them. That lets you to go back to any point in time to the granularity of seconds within those 30 days. And then the discreet code revision lets you go back to any snapshot of the backup that is maintained there kind of stuff. In a way, you see this Time Machine is pretty much like your modern day car with self driving ability. All you need to do is set the goals, and the Time Machine will do whatever is needed to reach up to the goal kind of stuff. >> Sunil: So why don't we quickly do a snapshot? >> Bala: Yeah, some of these times you need to create a snapshot for backup purposes, Time Machine has manual controls. All you need to do is give it a snapshot name. And then you have the ability to actually persist this snapshot data into a third party or object store so that your durability and that global data access requirements are met kind of stuff. So we kick off a snapshot operation. Let's look at what it is doing. If you see what is the snapshot operation that this is going through, there is a step called quiescing the databases. Basically, we're using application-centric APIs, and here it's actually RMAN of Oracle. We are using the RMan of Oracle to quiesce the database and performing application consistent storage snapshots with Nutanix technology. Basically we are fusing application-centric and then Nutanix platform and quiescing it. Just for a data point, if you have to use traditional technology and create a backup for this kind of size, it takes over four to six hours, whereas on Nutanix it's going to be a matter of seconds. So it almost looks like snapshot is done. This is full sensitive backup. You can pretty much use it for database restore kind of stuff. Maybe we'll do a clone demo and see how it goes. >> John: Yeah, let's go check it out. >> Bala: So for clone, again through the simplicity of command Z command, all you need to do is pick the time of your choice maybe around three o'clock in the morning today. >> John: Yeah, let's go with 3:02. >> Bala: 3:02, okay. >> John: Yeah, why not? >> Bala: You select the time, all you need to do is click on the clone. And most of the inputs that are needed for the clone process will be defaulted intelligently by us, right? And you have to make two choices that is where do you want this clone to be created with a brand new VM database server, or do you want to place that in your existing server? So we'll go with a brand new server, and then all you need to do is just give the password for you new clone database, and then clone it kind of stuff. >> Sunil: And this is an example of personalizing the database so a developer can do that. >> Bala: Right. So here is the clone kicking in. And what this is trying to do is actually it's creating a database VM and then registering the database, restoring the snapshot, and then recoding the logs up to three o'clock in the morning like what we just saw that, and then actually giving back the database to the requester kind of stuff. >> Maybe one finally thing, John. Do you want to show us the provision database that we kicked off? >> Yeah, it looks like it just finished a few seconds ago. So you can see all the tasks that we were talking about here before from creating the virtual infrastructure, and provisioning the database infrastructure, and configuring data protection. So I can go access this database now. >> Again, just to highlight this, guys. What we just showed you is an Oracle two node instance provisioned live in a few minutes on Nutanix. And this is something that even in a public cloud when you go to RDS on AWS or anything like that, you still can't provision Oracle RAC by the way, right? But that's what you've seen now, and that's what the power of Nutanix Era is. Okay, all right? >> Thank you. >> Thanks. (audience clapping) >> And one final thing around, obviously when we're building this, it's built as a past service. It's not meant just for operational benefits. And so one of the core design principles has been around being API first. You want to show that a little bit? >> Absolutely, Sunil, this whole product is built on API fist architecture. Pretty much what we have seen today and all the functionality that we've been able to show today, everything is built on Rest APIs, and you can pretty much integrate with service now architecture and give you your devops experience for your customers. We do have a plan for full fledged self-service portal eventually, and then make it as a proper service. >> Got it, great job, Bala. >> Thank you. >> Thanks, John. Good stuff, man. >> Thanks. >> All right. (audience clapping) So with Nutanix Era being this one-click provisioning, lifecycle management powered by APIs, I think what we're going to see is the fact that a lot of the products that we've talked about so far while you know I've talked about things like Calm, Flow, AHV functionality that have all been released in 5.5, 5.6, a bunch of the other stuff are also coming shortly. So I would strongly encourage you guys to kind of space 'em, you know most of these products that we've talked about, in fact, all of the products that we've talked about are going to be in the breakout sessions. We're going to go deep into them in the demos as well as in the pods. So spend some quality time not just on the stuff that's been shipping but also stuff that's coming out. And so one thing to keep in mind to sort of takeaway is that we're doing this all obviously with freedom as the goal. But from the products side, it has to be driven by choice whether the choice is based on platforms, it's based on hypervisors, whether it's based on consumption models and eventually even though we're starting with the management plane, eventually we'll go with the data plane of how do I actually provide a multi-cloud choice as well. And so when we wrap things up, and we look at the five freedoms that Ben talked about. Don't forget the sixth freedom especially after six to seven p.m. where the whole goal as a Nutanix family and extended family make sure we mix it up. Okay, thank you so much, and we'll see you around. (audience clapping) >> PA Announcer: Ladies and gentlemen, this concludes our morning keynote session. Breakouts will begin in 15 minutes. ♪ To do what I want ♪

Published Date : May 9 2018

SUMMARY :

PA Announcer: Off the plastic tab, would you please welcome state of Louisiana And it's my pleasure to welcome you all to And I'd like to second that warm welcome. the free spirit. the Nutanix Freedom video, enjoy. And I read the tagline from license to launch You have the freedom to go and choose and having to gain the trust with you over time, At the same time, you spent the last seven, eight years and apply intelligence to say how can we lower that you go and advise with some of the software to essentially reduce their you know they're supposed to save are still only 20%, 25% utilized. And the next thing is you can't do So you actually sized it for peak, and bring the control while retaining that agility So you want to show us something? And you know glad to be here. to see you know are there resources that you look at everyday. So billions of events, billing, metering events So what we have here is a very popular are everywhere, the cloud is everywhere actually. So when you bring your master account that you create because you don't want So we have you know consumption of the services. There's a lot of money being made So not only just get visibility at you know compute So all of you who actually have not gone the single pane view you know to mange What you see here is they're using have been active in Russia as well. to detect you know how can you rightsize So one click, you can actually just pick Yeah, and not only remove the resources the consumption for the Nutanix, you know the services And the most powerful thing is you can go to say how can you really remove things. So again, similar to save, you're saying So the idea is how can we give our people It looks like there's going to be a talk here at 10:30. Yes, so you can go and write your own security So the end in all this is, again, one of the things And to start the session, I think you know the part You barely fit in that door, man. that's grown from VDI to business critical So if we hop over here to our explore tab, in recent releases to kind of make this happen? Now to allow you to full take advantage of that, On the same environment though, we're going to show you So one of the shares that you see there is home directories. Do we have the cluster also showing, So if we think about cloud, cloud's obviously a big So just like the market took a left turn on Kubernetes, Now for the developer, the application architect, So the goal of ACS is to ensure So you can deploy however many of these He hasn't seen the movies yet. And this is going to be the number And if you come over to our office, and we welcome you, Thanks so much. And like Steve who's been with us for awhile, So I remember, so how many of you guys And the deployment is smaller than what we had And it covers a lot of use cases as well. So the use cases, we're 90%, 95% deployed on Nutanix, So the plan going forward, you actually asked And the same thing when you actually flip it to AHV And to give you a flavor of that, let me show you And now you can see this is a much simpler picture. Yeah, for those guys, you know that's not the Avengers This is next years theme. So before we cut over from Netsil to Flow, And that of course is the most important So that's like one click segmentation and play right now? You can compare it to other products in the space. in that next few releases. And if I scroll down again, and I see the top five of the network which is if you can truly isolate (audience clapping) And you know it's not just using Nutanix than in a picture by the way. So tell me a little bit about this cloud initiative. and the second award was really related to that. And a lot of this was obviously based on an infrastructure And you know initiatives change year on year, So the stack you know obviously built on Nutanix, of obviously the business takeaway here? There has to be some outcomes that we measure And in the journey obviously you got So you're supposed to wear some shoes, right? for the last couple years. I'm sure you guys have received shoes like these. So again, I'm sure many of you liked them. That's the only thing that hasn't worked, Thanks a lot. is to enable you to choose the right cloud Yeah, we should. of the art as you were saying in the industry. that to my Xi cloud services account. So you don't have to log in somewhere and create an account. But let's go take a look at the Xi side that you already knew mynutanix.com and 30 seconds in, or we will deploy a VPN for you on premises. So that's one of the other things to note the gateway configured, your VLAN information Vinny: So right now, you know what's happening is And just while you guys were talking, of the other things we've done? And first thing you might notice is And we allow the setting to be set on the Xi cloud services There's always going to be some networking problem onstage. This is a good sign that we're running So for example, you just saw that the same user is to also show capabilities to actually do failover And that says okay I already have the backups is essentially coming off the mainstream Xi profile. That's the most interesting piece here. or the test network to the test network. So let's see how the experience looks like details in place for the test to be successful. And to give you guys an idea behind the scenes, And so great, while you were explaining that, And that's essentially anybody in the audience here Yeah so by the way, just to give you guys Yeah, you guys should all go and vote. Let's see where Xi is. I'll scroll down a little bit, but keep the... Thank you so much. What's something that you know we've been doing And what that means is when you have And very quickly you can see these are the VMs So one of the core innovations being built So that means it has quiesced and stopping the VM there. So essentially what Vinny just showed and making it painless so that the downtime you have And you know Jason who's the CTO of Cyxtera. of the CenturyLink data centers. bunch of other assets. So we have over 50 data centers around the world, And to be fair, a lot of what happens in data centers in the traditional kind of on demand is that you know this isn't a manged service. of the partnership going forward? Well you know I think this would be Thanks a lot, Jason. And in the enterprise, if you think about it, We're going to start with say maybe some to pass you off, that is what Nutanix is Got it. And Bala and I are so excited to finally show this And the other key thing here is we've architected And the key thing there is just like these past services if not days to provision and Oracle RAC data. So if you think about the lifecycle And then there are a few steps here, but the key thing to not here is we've got So that's provisioning. that this is going to automate. is the fact that if you look at database And the best part is, the customers So let's take a look at this functionality On the right hand side, you will see different colors. And then you have the ability to actually persist of command Z command, all you need to do Bala: You select the time, all you need the database so a developer can do that. back the database to the requester kind of stuff. Do you want to show us the provision database So you can see all the tasks that we were talking about here What we just showed you is an Oracle two node instance (audience clapping) And so one of the core design principles and all the functionality that we've been able Good stuff, man. But from the products side, it has to be driven by choice PA Announcer: Ladies and gentlemen,

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Day One Morning Keynote | Red Hat Summit 2018


 

[Music] [Music] [Music] [Laughter] [Laughter] [Laughter] [Laughter] [Music] [Music] [Music] [Music] you you [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Applause] [Music] wake up feeling blessed peace you warned that Russia ain't afraid to show it I'll expose it if I dressed up riding in that Chester roasted nigga catch you slippin on myself rocks on I messed up like yes sir [Music] [Music] [Music] [Music] our program [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] you are not welcome to Red Hat summit 2018 2018 [Music] [Music] [Music] [Laughter] [Music] Wow that is truly the coolest introduction I've ever had thank you Wow I don't think I feel cool enough to follow an interaction like that Wow well welcome to the Red Hat summit this is our 14th annual event and I have to say looking out over this audience Wow it's great to see so many people here joining us this is by far our largest summit to date not only did we blow through the numbers we've had in the past we blew through our own expectations this year so I know we have a pretty packed house and I know people are still coming in so it's great to see so many people here it's great to see so many familiar faces when I had a chance to walk around earlier it's great to see so many new people here joining us for the first time I think the record attendance is an indication that more and more enterprises around the world are seeing the power of open source to help them with their challenges that they're facing due to the digital transformation that all of enterprises around the world are going through the theme for the summit this year is ideas worth exploring and we intentionally chose that because as much as we are all going through this digital disruption and the challenges associated with it one thing I think is becoming clear no one person and certainly no one company has the answers to these challenges right this isn't a problem where you can go buy a solution this is a set of capabilities that we all need to build it's a set of cultural changes that we all need to go through and that's going to require the best ideas coming from so many different places so we're not here saying we have the answers we're trying to convene the conversation right we want to serve as a catalyst bringing great minds together to share ideas so we all walk out of here at the end of the week a little wiser than when we first came here we do have an amazing agenda for you we have over 7,000 attendees we may be pushing 8,000 by the time we got through this morning we have 36 keynote speakers and we have a hundred and twenty-five breakout sessions and have to throw in one plug scheduling 325 breakout sessions is actually pretty difficult and so we used the Red Hat business optimizer which is an AI constraint solver that's new in the Red Hat decision manager to help us plan the summit because we have individuals who have a clustered set of interests and we want to make sure that when we schedule two breakout sessions we do it in a way that we don't have overlapping sessions that are really important to the same individual so we tried to use this tool and what we understand about people's interest in history of what they wanted to do to try to make sure that we spaced out different times for things of similar interests for similar people as well as for people who stood in the back of breakouts before and I know I've done that too we've also used it to try to optimize room size so hopefully we will do our best to make sure that we've appropriately sized the spaces for those as well so it's really a phenomenal tool and I know it's helped us a lot this year in addition to the 325 breakouts we have a lot of our customers on stage during the main sessions and so you'll see demos you'll hear from partners you'll hear stories from so many of our customers not on our point of view of how to use these technologies but their point of views of how they actually are using these technologies to solve their problems and you'll hear over and over again from those keynotes that it's not just about the technology it's about how people are changing how people are working to innovate to solve those problems and while we're on the subject of people I'd like to take a moment to recognize the Red Hat certified professional of the year this is known award we do every year I love this award because it truly recognizes an individual for outstanding innovation for outstanding ideas for truly standing out in how they're able to help their organization with Red Hat technologies Red Hat certifications help system administrators application developers IT architects to further their careers and help their organizations by being able to advance their skills and knowledge of Red Hat products and this year's winner really truly is a great example about how their curiosity is helped push the limits of what's possible with technology let's hear a little more about this year's winner when I was studying at the University I had computer science as one of my subjects and that's what created the passion from the very beginning they were quite a few institutions around my University who were offering Red Hat Enterprise Linux as a course and a certification paths through to become an administrator Red Hat Learning subscription has offered me a lot more than any other trainings that have done so far that gave me exposure to so many products under red hair technologies that I wasn't even aware of I started to think about the better ways of how these learnings can be put into the real life use cases and we started off with a discussion with my manager saying I have to try this product and I really want to see how it really fits in our environment and that product was Red Hat virtualization we went from deploying rave and then OpenStack and then the open shift environment we wanted to overcome some of the things that we saw as challenges to the speed and rapidity of release and code etc so it made perfect sense and we were able to do it in a really short space of time so you know we truly did use it as an Innovation Lab I think idea is everything ideas can change the way you see things an Innovation Lab was such an idea that popped into my mind one fine day and it has transformed the way we think as a team and it's given that playpen to pretty much everyone to go and test their things investigate evaluate do whatever they like in a non-critical non production environment I recruited Neha almost 10 years ago now I could see there was a spark a potential with it and you know she had a real Drive a real passion and you know here we are nearly ten years later I'm Neha Sandow I am a Red Hat certified engineer all right well everyone please walk into the states to the stage Neha [Music] [Applause] congratulations thank you [Applause] I think that - well welcome to the red has some of this is your first summit yes it is thanks so much well fantastic sure well it's great to have you here I hope you have a chance to engage and share some of your ideas and enjoy the week thank you thank you congratulations [Applause] neha mentioned that she first got interest in open source at university and it made me think red hats recently started our Red Hat Academy program that looks to programmatically infuse Red Hat technologies in universities around the world it's exploded in a way we had no idea it's grown just incredibly rapidly which i think shows the interest that there really is an open source and working in an open way at university so it's really a phenomenal program I'm also excited to announce that we're launching our newest open source story this year at Summit it's called the science of collective discovery and it looks at what happens when communities use open hardware to monitor the environment around them and really how they can make impactful change based on that technologies the rural premier that will be at 5:15 on Wednesday at McMaster Oni West and so please join us for a drink and we'll also have a number of the experts featured in that and you can have a conversation with them as well so with that let's officially start the show please welcome red hat president of products and technology Paul Cormier [Music] Wow morning you know I say it every year I'm gonna say it again I know I repeat myself it's just amazing we are so proud here to be here today too while you all week on how far we've come with opens with open source and with the products that we that we provide at Red Hat so so welcome and I hope the pride shows through so you know I told you Seven Summits ago on this stage that the future would be open and here we are just seven years later this is the 14th summit but just seven years later after that and much has happened and I think you'll see today and this week that that prediction that the world would be open was a pretty safe predict prediction but I want to take you just back a little bit to see how we started here and it's not just how Red Hat started here this is an open source in Linux based computing is now in an industry norm and I think that's what you'll you'll see in here this week you know we talked back then seven years ago when we put on our prediction about the UNIX error and how Hardware innovation with x86 was it was really the first step in a new era of open innovation you know companies like Sun Deck IBM and HP they really changed the world the computing industry with their UNIX models it was that was really the rise of computing but I think what we we really saw then was that single company innovation could only scale so far could really get so far with that these companies were very very innovative but they coupled hardware innovation with software innovation and as one company they could only solve so many problems and even which comp which even complicated things more they could only hire so many people in each of their companies Intel came on the scene back then as the new independent hardware player and you know that was really the beginning of the drive for horizontal computing power and computing this opened up a brand new vehicle for hardware innovation a new hardware ecosystem was built around this around this common hardware base shortly after that Stallman and leanness they had a vision of his of an open model that was created and they created Linux but it was built around Intel this was really the beginning of having a software based platform that could also drive innovation this kind of was the beginning of the changing of the world here that system-level innovation now having a hardware platform that was ubiquitous and a software platform that was open and ubiquitous it really changed this system level innovation and that continues to thrive today it was only possible because it was open this could not have happened in a closed environment it allowed the best ideas from anywhere from all over to come in in win only because it was the best idea that's what drove the rate of innovation at the pace you're seeing today and it which has never been seen before we at Red Hat we saw the need to bring this innovation to solve real-world problems in the enterprise and I think that's going to be the theme of the show today you're going to see us with our customers and partners talking about and showing you some of those real-world problems that we are sought solving with this open innovation we created rel back then for this for the enterprise it started it's it it wasn't successful because it's scaled it was secure and it was enterprise ready it once again changed the industry but this time through open innovation this gave the hardware ecosystem a software platform this open software platform gave the hardware ecosystem a software platform to build around it Unleashed them the hardware side to compete and thrive it enabled innovation from the OEMs new players building cheaper faster servers even new architectures from armed to power sprung up with this change we have seen an incredible amount of hardware innovation over the last 15 years that same innovation happened on the software side we saw powerful implementations of bare metal Linux distributions out in the market in fact at one point there were 300 there are over 300 distributions out in the market on the foundation of Linux powerful open-source equivalents were even developed in every area of Technology databases middleware messaging containers anything you could imagine innovation just exploded around the Linux platform in innovation it's at the core also drove virtualization both Linux and virtualization led to another area of innovation which you're hearing a lot about now public cloud innovation this innovation started to proceed at a rate that we had never seen before we had never experienced this in the past in this unprecedented speed of innovation and software was now possible because you didn't need a chip foundry in order to innovate you just needed great ideas in the open platform that was out there customers seeing this innovation in the public cloud sparked it sparked their desire to build their own linux based cloud platforms and customers are now are now bringing that cloud efficiency on-premise in their own data centers public clouds demonstrated so much efficiency the data centers and architects wanted to take advantage of it off premise on premise I'm sorry within their own we don't within their own controlled environments this really allowed companies to make the most of existing investments from data centers to hardware they also gained many new advantages from data sovereignty to new flexible agile approaches I want to bring Burr and his team up here to take a look at what building out an on-premise cloud can look like today Bure take it away I am super excited to be with all of you here at Red Hat summit I know we have some amazing things to show you throughout the week but before we dive into this demonstration I want you to take just a few seconds just a quick moment to think about that really important event your life that moment you turned on your first computer maybe it was a trs-80 listen Claire and Atari I even had an 83 b2 at one point but in my specific case I was sitting in a classroom in Hawaii and I could see all the way from Diamond Head to Pearl Harbor so just keep that in mind and I turn on an IBM PC with dual floppies I don't remember issuing my first commands writing my first level of code and I was totally hooked it was like a magical moment and I've been hooked on computers for the last 30 years so I want you to hold that image in your mind for just a moment just a second while we show you the computers we have here on stage let me turn this over to Jay fair and Dini here's our worldwide DevOps manager and he was going to show us his hardware what do you got Jay thank you BER good morning everyone and welcome to Red Hat summit we have so many cool things to show you this week I am so happy to be here and you know my favorite thing about red hat summit is our allowed to kind of share all of our stories much like bird just did we also love to you know talk about the hardware and the technology that we brought with us in fact it's become a bit of a competition so this year we said you know let's win this thing and we actually I think we might have won we brought a cloud with us so right now this is a private cloud for throughout the course of the week we're going to turn this into a very very interesting open hybrid cloud right before your eyes so everything you see here will be real and happening right on this thing right behind me here so thanks for our four incredible partners IBM Dell HP and super micro we've built a very vendor heterogeneous cloud here extra special thanks to IBM because they loaned us a power nine machine so now we actually have multiple architectures in this cloud so as you know one of the greatest benefits to running Red Hat technology is that we run on just about everything and you know I can't stress enough how powerful that is how cost-effective that is and it just makes my life easier to be honest so if you're interested the people that built this actual rack right here gonna be hanging out in the customer success zone this whole week it's on the second floor the lobby there and they'd be glad to show you exactly how they built this thing so let me show you what we actually have in this rack so contained in this rack we have 1056 physical chorus right here we have five and a half terabytes of RAM and just in case we threw 50 terabytes of storage in this thing so burr that's about two million times more powerful than that first machine you boot it up thanks to a PC we're actually capable of putting all the power needs and cooling right in this rack so there's your data center right there you know it occurred to me last night that I can actually pull the power cord on this thing and kick it up a notch we could have the world's first mobile portable hybrid cloud so I'm gonna go ahead and unplug no no no no no seriously it's not unplug the thing we got it working now well Berg gets a little nervous but next year we're rolling this thing around okay okay so to recap multiple vendors check multiple architectures check multiple public clouds plug right into this thing check and everything everywhere is running the same software from Red Hat so that is a giant check so burn Angus why don't we get the demos rolling awesome so we have totally we have some amazing hardware amazing computers on this stage but now we need to light it up and we have Angus Thomas who represents our OpenStack engineering team and he's going to show us what we can do with this awesome hardware Angus thank you Beth so this was an impressive rack of hardware to Joe has bought a pocket stage what I want to talk about today is putting it to work with OpenStack platform director we're going to turn it from a lot of potential into a flexible scalable private cloud we've been using director for a while now to take care of managing hardware and orchestrating the deployment of OpenStack what's new is that we're bringing the same capabilities for on-premise manager the deployment of OpenShift director deploying OpenShift in this way is the best of both worlds it's bare-metal performance but with an underlying infrastructure as a service that can take care of deploying in new instances and scaling out and a lot of the things that we expect from a cloud provider director is running on a virtual machine on Red Hat virtualization at the top of the rack and it's going to bring everything else under control what you can see on the screen right now is the director UI and as you see some of the hardware in the rack is already being managed at the top level we have information about the number of cores in the amount of RAM and the disks that each machine have if we dig in a bit there's information about MAC addresses and IPs and the management interface the BIOS kernel version dig a little deeper and there is information about the hard disks all of this is important because we want to be able to make sure that we put in workloads exactly where we want them Jay could you please power on the two new machines at the top of the rack sure all right thank you so when those two machines come up on the network director is going to see them see that they're new and not already under management and is it immediately going to go into the hardware inspection that populates this database and gets them ready for use so we also have profiles as you can see here profiles are the way that we match the hardware in a machine to the kind of workload that it's suited to this is how we make sure that machines that have all the discs run Seth and machines that have all the RAM when our application workouts for example there's two ways these can be set when you're dealing with a rack like this you could go in an individually tag each machine but director scales up to data centers so we have a rules matching engine which will automatically take the hardware profile of a new machine and make sure it gets tagged in exactly the right way so we can automatically discover new machines on the network and we can automatically match them to a profile that's how we streamline and scale up operations now I want to talk about deploying the software we have a set of validations we've learned over time about the Miss configurations in the underlying infrastructure which can cause the deployment of a multi node distributed application like OpenStack or OpenShift to fail if you have the wrong VLAN tags on a switch port or DHCP isn't running where it should be for example you can get into a situation which is really hard to debug a lot of our validations actually run before the deployment they look at what you're intending to deploy and they check in the environment is the way that it should be and they'll preempts problems and obviously preemption is a lot better than debugging something new that you probably have not seen before is director managing multiple deployments of different things side by side before we came out on stage we also deployed OpenStack on this rack just to keep me honest let me jump over to OpenStack very quickly a lot of our opens that customers will be familiar with this UI and the bare metal deployment of OpenStack on our rack is actually running a set of virtual machines which is running Gluster you're going to see that put to work later on during the summit Jay's gone to an awful lot effort to get this Hardware up on the stage so we're going to use it as many different ways as we can okay let's deploy OpenShift if I switch over to the deployed a deployment plan view there's a few steps first thing you need to do is make sure we have the hardware I already talked about how director manages hardware it's smart enough to make sure that it's not going to attempt to deploy into machines they're already in use it's only going to deploy on machines that have the right profile but I think with the rack that we have here we've got enough next thing is the deployment configuration this is where you get to customize exactly what's going to be deployed to make sure that it really matches your environment if they're external IPs for additional services you can set them here whatever it takes to make sure that the deployment is going to work for you as you can see on the screen we have a set of options around enable TLS for encryption network traffic if I dig a little deeper there are options around enabling ipv6 and network isolation so that different classes of traffic there are over different physical NICs okay then then we have roles now roles this is essentially about the software that's going to be put on each machine director comes with a set of roles for a lot of the software that RedHat supports and you can just use those or you can modify them a little bit if you need to add a monitoring agent or whatever it might be or you can create your own custom roles director has quite a rich syntax for custom role definition and custom Network topologies whatever it is you need in order to make it work in your environment so the rawls that we have right now are going to give us a working instance of openshift if I go ahead and click through the validations are all looking green so right now I can click the button start to the deploy and you will see things lighting up on the rack directors going to use IPMI to reboot the machines provisioned and with a trail image was the containers on them and start up the application stack okay so one last thing once the deployment is done you're going to want to keep director around director has a lot of capabilities around what we call de to operational management bringing in new Hardware scaling out deployments dealing with updates and critically doing upgrades as well so having said all of that it is time for me to switch over to an instance of openshift deployed by a director running on bare metal on our rack and I need to hand this over to our developer team so they can show what they can do it thank you that is so awesome Angus so what you've seen now is going from bare metal to the ultimate private cloud with OpenStack director make an open shift ready for our developers to build their next generation applications thank you so much guys that was totally awesome I love what you guys showed there now I have the honor now I have the honor of introducing a very special guest one of our earliest OpenShift customers who understands the necessity of the private cloud inside their organization and more importantly they're fundamentally redefining their industry please extend a warm welcome to deep mar Foster from Amadeus well good morning everyone a big thank you for having armadillos here and myself so as it was just set I'm at Mario's well first of all we are a large IT provider in the travel industry so serving essentially Airlines hotel chains this distributors like Expedia and others we indeed we started very early what was OpenShift like a bit more than three years ago and we jumped on it when when Retta teamed with Google to bring in kubernetes into this so let me quickly share a few figures about our Mario's to give you like a sense of what we are doing and the scale of our operations so some of our key KPIs one of our key metrics is what what we call passenger borders so that's the number of customers that physically board a plane over the year so through our systems it's roughly 1.6 billion people checking in taking the aircrafts on under the Amarillo systems close to 600 million travel agency bookings virtually all airlines are on the system and one figure I want to stress out a little bit is this one trillion availability requests per day that's when I read this figure my mind boggles a little bit so this means in continuous throughput more than 10 million hits per second so of course these are not traditional database transactions it's it's it's highly cached in memory and these applications are running over like more than 100,000 course so it's it's it's really big stuff so today I want to give some concrete feedback what we are doing so I have chosen two applications products of our Mario's that are currently running on production in different in different hosting environments as the theme here is of this talk hybrid cloud and so I want to give some some concrete feedback of how we architect the applications and of course it stays relatively high level so here I have taken one of our applications that is used in the hospitality environment so it's we have built this for a very large US hotel chain and it's currently in in full swing brought into production so like 30 percent of the globe or 5,000 plus hotels are on this platform not so here you can see that we use as the path of course on openshift on that's that's the most central piece of our hybrid cloud strategy on the database side we use Oracle and Couchbase Couchbase is used for the heavy duty fast access more key value store but also to replicate data across two data centers in this case it's running over to US based data centers east and west coast topology that are fit so run by Mario's that are fit with VMware on for the virtualization OpenStack on top of it and then open shift to host and welcome the applications on the right hand side you you see the kind of tools if you want to call them tools that we use these are the principal ones of course the real picture is much more complex but in essence we use terraform to map to the api's of the underlying infrastructure so they are obviously there are differences when you run on OpenStack or the Google compute engine or AWS Azure so some some tweaking is needed we use right at ansible a lot we also use puppet so you can see these are really the big the big pieces of of this sense installation and if we look to the to the topology again very high high level so these two locations basically map the data centers of our customers so they are in close proximity because the response time and the SLA is of this application is are very tight so that's an example of an application that is architectures mostly was high ability and high availability in minds not necessarily full global worldwide scaling but of course it could be scaled but here the idea is that we can swing from one data center to the unit to the other in matters of of minutes both take traffic data is fully synchronized across those data centers and while the switch back and forth is very fast the second example I have taken is what we call the shopping box this is when people go to kayak or Expedia and they're getting inspired where they want to travel to this is really the piece that shoots most of transit of the transactions into our Mario's so we architect here more for high scalability of course availability is also a key but here scaling and geographical spread is very important so in short it runs partially on-premise in our Amarillo Stata Center again on OpenStack and we we deploy it mostly in the first step on the Google compute engine and currently as we speak on Amazon on AWS and we work also together with Retta to qualify the whole show on Microsoft Azure here in this application it's it's the same building blocks there is a large swimming aspect to it so we bring Kafka into this working with records and another partner to bring Kafka on their open shift because at the end we want to use open shift to administrate the whole show so over time also databases and the topology here when you look to the physical deployment topology while it's very classical we use the the regions and the availability zone concept so this application is spread over three principal continental regions and so it's again it's a high-level view with different availability zones and in each of those availability zones we take a hit of several 10,000 transactions so that was it really in very short just to give you a glimpse on how we implement hybrid clouds I think that's the way forward it gives us a lot of freedom and it allows us to to discuss in a much more educated way with our customers that sometimes have already deals in place with one cloud provider or another so for us it's a lot of value to set two to leave them the choice basically what up that was a very quick overview of what we are doing we were together with records are based on open shift essentially here and more and more OpenStack coming into the picture hope you found this interesting thanks a lot and have a nice summer [Applause] thank you so much deeper great great solution we've worked with deep Marv and his team for a long for a long time great solution so I want to take us back a little bit I want to circle back I sort of ended talking a little bit about the public cloud so let's circle back there you know even so even though some applications need to run in various footprints on premise there's still great gains to be had that for running certain applications in the public cloud a public cloud will be as impactful to to the industry as as UNIX era was of computing was but by itself it'll have some of the same limitations and challenges that that model had today there's tremendous cloud innovation happening in the public cloud it's being driven by a handful of massive companies and much like the innovation that sundeck HP and others drove in a you in the UNIX era of community of computing many customers want to take advantage of the best innovation no matter where it comes from buddy but as they even eventually saw in the UNIX era they can't afford the best innovation at the cost of a siloed operating environment with the open community we are building a hybrid application platform that can give you access to the best innovation no matter which vendor or which cloud that it comes from letting public cloud providers innovate and services beyond what customers or anyone can one provider can do on their own such as large scale learning machine learning or artificial intelligence built on the data that's unique probably to that to that one cloud but consumed in a common way for the end customer across all applications in any environment on any footprint in in their overall IT infrastructure this is exactly what rel brought brought to our customers in the UNIX era of computing that consistency across any of those footprints obviously enterprises will have applications for all different uses some will live on premise some in the cloud hybrid cloud is the only practical way forward I think you've been hearing that from us for a long time it is the only practical way forward and it'll be as impactful as anything we've ever seen before I want to bring Byrne his team back to see a hybrid cloud deployment in action burr [Music] all right earlier you saw what we did with taking bare metal and lighting it up with OpenStack director and making it openshift ready for developers to build their next generation applications now we want to show you when those next turn and generation applications and what we've done is we take an open shift and spread it out and installed it across Asia and Amazon a true hybrid cloud so with me on stage today as Ted who's gonna walk us through an application and Brent Midwood who's our DevOps engineer who's gonna be making sure he's monitoring on the backside that we do make sure we do a good job so at this point Ted what have you got for us Thank You BER and good morning everybody this morning we are running on the stage in our private cloud an application that's providing its providing fraud detection detect serves for financial transactions and our customer base is rather large and we occasionally take extended bursts of traffic of heavy traffic load so in order to keep our latency down and keep our customers happy we've deployed extra service capacity in the public cloud so we have capacity with Microsoft Azure in Texas and with Amazon Web Services in Ohio so we use open chip container platform on all three locations because openshift makes it easy for us to deploy our containerized services wherever we want to put them but the question still remains how do we establish seamless communication across our entire enterprise and more importantly how do we balance the workload across these three locations in such a way that we efficiently use our resources and that we give our customers the best possible experience so this is where Red Hat amq interconnect comes in as you can see we've deployed a MQ interconnect alongside our fraud detection applications in all three locations and if I switch to the MQ console we'll see the topology of the app of the network that we've created here so the router inside the on stage here has made connections outbound to the public routers and AWS and Azure these connections are secured using mutual TLS authentication and encrypt and once these connections are established amq figures out the best way auda matically to route traffic to where it needs to get to so what we have right now is a distributed reliable broker list message bus that expands our entire enterprise now if you want to learn more about this make sure that you catch the a MQ breakout tomorrow at 11:45 with Jack Britton and David Ingham let's have a look at the message flow and we'll dive in and isolate the fraud detection API that we're interested in and what we see is that all the traffic is being handled in the private cloud that's what we expect because our latencies are low and they're acceptable but now if we take a little bit of a burst of increased traffic we're gonna see that an EQ is going to push a little a bi traffic out onto the out to the public cloud so as you're picking up some of the load now to keep the Layton sees down now when that subsides as your finishes up what it's doing and goes back offline now if we take a much bigger load increase you'll see two things first of all asher is going to take a bigger proportion than it did before and Amazon Web Services is going to get thrown into the fray as well now AWS is actually doing less work than I expected it to do I expected a little bit of bigger a slice there but this is a interesting illustration of what's going on for load balancing mq load balancing is sending requests to the services that have the lowest backlog and in order to keep the Layton sees as steady as possible so AWS is probably running slowly for some reason and that's causing a and Q to push less traffic its way now the other thing you're going to notice if you look carefully this graph fluctuate slightly and those fluctuations are caused by all the variances in the network we have the cloud on stage and we have clouds in in the various places across the country there's a lot of equipment locked layers of virtualization and networking in between and we're reacting in real-time to the reality on the digital street so BER what's the story with a to be less I noticed there's a problem right here right now we seem to have a little bit performance issue so guys I noticed that as well and a little bit ago I actually got an alert from red ahead of insights letting us know that there might be some potential optimizations we could make to our environment so let's take a look at insights so here's the Red Hat insights interface you can see our three OpenShift deployments so we have the set up here on stage in San Francisco we have our Azure deployment in Texas and we also have our AWS deployment in Ohio and insights is highlighting that that deployment in Ohio may have some issues that need some attention so Red Hat insights collects anonymized data from manage systems across our customer environment and that gives us visibility into things like vulnerabilities compliance configuration assessment and of course Red Hat subscription consumption all of this is presented in a SAS offering so it's really really easy to use it requires minimal infrastructure upfront and it provides an immediate return on investment what insights is showing us here is that we have some potential issues on the configuration side that may need some attention from this view I actually get a look at all the systems in our inventory including instances and containers and you can see here on the left that insights is highlighting one of those instances as needing some potential attention it might be a candidate for optimization this might be related to the issues that you were seeing just a minute ago insights uses machine learning and AI techniques to analyze all collected data so we combine collected data from not only the system's configuration but also with other systems from across the Red Hat customer base this allows us to compare ourselves to how we're doing across the entire set of industries including our own vertical in this case the financial services industry and we can compare ourselves to other customers we also get access to tailored recommendations that let us know what we can do to optimize our systems so in this particular case we're actually detecting an issue here where we are an outlier so our configuration has been compared to other configurations across the customer base and in this particular instance in this security group were misconfigured and so insights actually gives us the steps that we need to use to remediate the situation and the really neat thing here is that we actually get access to a custom ansible playbook so if we want to automate that type of a remediation we can use this inside of Red Hat ansible tower Red Hat satellite Red Hat cloud forms it's really really powerful the other thing here is that we can actually apply these recommendations right from within the Red Hat insights interface so with just a few clicks I can select all the recommendations that insights is making and using that built-in ansible automation I can apply those recommendations really really quickly across a variety of systems this type of intelligent automation is really cool it's really fast and powerful so really quickly here we're going to see the impact of those changes and so we can tell that we're doing a little better than we were a few minutes ago when compared across the customer base as well as within the financial industry and if we go back and look at the map we should see that our AWS employment in Ohio is in a much better state than it was just a few minutes ago so I'm wondering Ted if this had any effect and might be helping with some of the issues that you were seeing let's take a look looks like went green now let's see what it looks like over here yeah doesn't look like the configuration is taking effect quite yet maybe there's some delay awesome fantastic the man yeah so now we're load balancing across the three clouds very much fantastic well I have two minute Ted I truly love how we can route requests and dynamically load transactions across these three clouds a truly hybrid cloud native application you guys saw here on on stage for the first time and it's a fully portable application if you build your applications with openshift you can mover from cloud to cloud to cloud on stage private all the way out to the public said it's totally awesome we also have the application being fully managed by Red Hat insights I love having that intelligence watching over us and ensuring that we're doing everything correctly that is fundamentally awesome thank you so much for that well we actually have more to show you but you're going to wait a few minutes longer right now we'd like to welcome Paul back to the stage and we have a very special early Red Hat customer an Innovation Award winner from 2010 who's been going boldly forward with their open hybrid cloud strategy please give a warm welcome to Monty Finkelstein from Citigroup [Music] [Music] hi Marty hey Paul nice to see you thank you very much for coming so thank you for having me Oh our pleasure if you if you wanted to we sort of wanted to pick your brain a little bit about your experiences and sort of leading leading the charge in computing here so we're all talking about hybrid cloud how has the hybrid cloud strategy influenced where you are today in your computing environment so you know when we see the variable the various types of workload that we had an hour on from cloud we see the peaks we see the valleys we see the demand on the environment that we have we really determined that we have to have a much more elastic more scalable capability so we can burst and stretch our environments to multiple cloud providers these capabilities have now been proven at City and of course we consider what the data risk is as well as any regulatory requirement so how do you how do you tackle the complexity of multiple cloud environments so every cloud provider has its own unique set of capabilities they have they're own api's distributions value-added services we wanted to make sure that we could arbitrate between the different cloud providers maintain all source code and orchestration capabilities on Prem to drive those capabilities from within our platforms this requires controlling the entitlements in a cohesive fashion across our on Prem and Wolfram both for security services automation telemetry as one seamless unit can you talk a bit about how you decide when you to use your own on-premise infrastructure versus cloud resources sure so there are multiple dimensions that we take into account right so the first dimension we talk about the risk so low risk - high risk and and really that's about the data classification of the environment we're talking about so whether it's public or internal which would be considered low - ooh confidential PII restricted sensitive and so on and above which is really what would be considered a high-risk the second dimension would be would focus on demand volatility and responsiveness sensitivity so this would range from low response sensitivity and low variability of the type of workload that we have to the high response sensitivity and high variability of the workload the first combination that we focused on is the low risk and high variability and high sensitivity for response type workload of course any of the workloads we ensure that we're regulatory compliant as well as we achieve customer benefits with within this environment so how can we give developers greater control of their their infrastructure environments and still help operations maintain that consistency in compliance so the main driver is really to use the public cloud is scale speed and increased developer efficiencies as well as reducing cost as well as risk this would mean providing develop workspaces and multiple environments for our developers to quickly create products for our customers all this is done of course in a DevOps model while maintaining the source and artifacts registry on-prem this would allow our developers to test and select various middleware products another product but also ensure all the compliance activities in a centrally controlled repository so we really really appreciate you coming by and sharing that with us today Monte thank you so much for coming to the red echo thanks a lot thanks again tamati I mean you know there's these real world insight into how our products and technologies are really running the businesses today that's that's just the most exciting part so thank thanks thanks again mati no even it with as much progress as you've seen demonstrated here and you're going to continue to see all week long we're far from done so I want to just take us a little bit into the path forward and where we we go today we've talked about this a lot innovation today is driven by open source development I don't think there's any question about that certainly not in this room and even across the industry as a whole that's a long way that we've come from when we started our first summit 14 years ago with over a million open source projects out there this unit this innovation aggregates into various community platforms and it finally culminates in commercial open source based open source developed products these products run many of the mission-critical applications in business today you've heard just a couple of those today here on stage but it's everywhere it's running the world today but to make customers successful with that interact innovation to run their real-world business applications these open source products have to be able to leverage increase increasingly complex infrastructure footprints we must also ensure a common base for the developer and ultimately the application no matter which footprint they choose as you heard mati say the developers want choice here no matter which no matter which footprint they are ultimately going to run their those applications on they want that flexibility from the data center to possibly any public cloud out there in regardless of whether that application was built yesterday or has been running the business for the last 10 years and was built on 10-year old technology this is the flexibility that developers require today but what does different infrastructure we may require different pieces of the technical stack in that deployment one example of this that Effects of many things as KVM which provides the foundation for many of those use cases that require virtualization KVM offers a level of consistency from a technical perspective but rel extends that consistency to add a level of commercial and ecosystem consistency for the application across all those footprints this is very important in the enterprise but while rel and KVM formed the foundation other technologies are needed to really satisfy the functions on these different footprints traditional virtualization has requirements that are satisfied by projects like overt and products like Rev traditional traditional private cloud implementations has requirements that are satisfied on projects like OpenStack and products like Red Hat OpenStack platform and as applications begin to become more container based we are seeing many requirements driven driven natively into containers the same Linux in different forms provides this common base across these four footprints this level of compatible compatibility is critical to operators who must best utilize the infinite must better utilize secure and deploy the infrastructure that they have and they're responsible for developers on the other hand they care most about having a platform that can creates that consistency for their applications they care about their services and the services that they need to consume within those applications and they don't want limitations on where they run they want service but they want it anywhere not necessarily just from Amazon they want integration between applications no matter where they run they still want to run their Java EE now named Jakarta EE apps and bring those applications forward into containers and micro services they need able to orchestrate these frameworks and many more across all these different footprints in a consistent secure fashion this creates natural tension between development and operations frankly customers amplify this tension with organizational boundaries that are holdover from the UNIX era of computing it's really the job of our platforms to seamlessly remove these boundaries and it's the it's the goal of RedHat to seamlessly get you from the old world to the new world we're gonna show you a really cool demo demonstration now we're gonna show you how you can automate this transition first we're gonna take a Windows virtual machine from a traditional VMware deployment we're gonna convert it into a KVM based virtual machine running in a container all under the kubernetes umbrella this makes virtual machines more access more accessible to the developer this will accelerate the transformation of those virtual machines into cloud native container based form well we will work this prot we will worked as capability over the product line in the coming releases so we can strike the balance of enabling our developers to move in this direction we want to be able to do this while enabling mission-critical operations to still do their job so let's bring Byrne his team back up to show you this in action for one more thanks all right what Red Hat we recognized that large organizations large enterprises have a substantial investment and legacy virtualization technology and this is holding you back you have thousands of virtual machines that need to be modernized so what you're about to see next okay it's something very special with me here on stage we have James Lebowski he's gonna be walking us through he's represents our operations folks and he's gonna be walking us through a mass migration but also is Itamar Hine who's our lead developer of a very special application and he's gonna be modernizing container izing and optimizing our application all right so let's get started James thanks burr yeah so as you can see I have a typical VMware environment here I'm in the vSphere client I've got a number of virtual machines a handful of them that make up my one of my applications for my development environment in this case and what I want to do is migrate those over to a KVM based right at virtualization environment so what I'm gonna do is I'm gonna go to cloud forms our cloud management platform that's our first step and you know cloud forms actually already has discovered both my rev environment and my vSphere environment and understands the compute network and storage there so you'll notice one of the capabilities we built is this new capability called migrations and underneath here I could begin to there's two steps and the first thing I need to do is start to create my infrastructure mappings what this will allow me to do is map my compute networking storage between vSphere and Rev so cloud forms understands how those relate let's go ahead and create an infrastructure mapping I'll call that summit infrastructure mapping and then I'm gonna begin to map my two environments first the compute so the clusters here next the data stores so those virtual machines happen to live on datastore - in vSphere and I'll target them a datastore data to inside of my revenue Arman and finally my networks those live on network 100 so I'll map those from vSphere to rover so once my infrastructure is map the next step I need to do is actually begin to create a plan to migrate those virtual machines so I'll continue to the plan wizard here I'll select the infrastructure mapping I just created and I'll select migrate my development environment from those virtual machines to Rev and then I need to import a CSV file the CSV file is going to contain a list of all the virtual machines that I want to migrate that were there and that's it once I hit create what's going to happen cloud forms is going to begin in an automated fashion shutting down those virtual machines begin converting them taking care of all the minutia that you'd have to do manually it's gonna do that all automatically for me so I don't have to worry about all those manual interactions and no longer do I have to go manually shut them down but it's going to take care of that all for me you can see the migrations kicked off here this is the I've got the my VMs are migrating here and if I go back to the screen here you can see that we're gonna start seeing those shutdown okay awesome but as people want to know more information about this how would they dive deeper into this technology later this week yeah it's a great question so we have a workload portability session in the hybrid cloud on Wednesday if you want to see a presentation that deep dives into this topic and how some of the methodologies to migrate and then on Thursday we actually have a hands-on lab it's the IT optimization VM migration lab that you can check out and as you can see those are shutting down here yeah we see a powering off right now that's fantastic absolutely so if I go back now that's gonna take a while you got to convert all the disks and move them over but we'll notice is previously I had already run one migration of a single application that was a Windows virtual machine running and if I browse over to Red Hat virtualization I can see on the dashboard here I could browse to virtual machines I have migrated that Windows virtual machine and if I open up a tab I can now browse to my Windows virtual machine which is running our wingtip toy store application our sample application here and now my VM has been moved over from Rev to Vita from VMware to Rev and is available for Itamar all right great available to our developers all right Itamar what are you gonna do for us here well James it's great that you can save cost by moving from VMware to reddit virtualization but I want to containerize our application and with container native virtualization I can run my virtual machine on OpenShift like any other container using Huebert a kubernetes operator to run and manage virtual machines let's look at the open ship service catalog you can see we have a new virtualization section here we can import KVM or VMware virtual machines or if there are already loaded we can create new instances of them for the developer to work with just need to give named CPU memory we can do other virtualization parameters and create our virtual machines now let's see how this looks like in the openshift console the cool thing about KVM is virtual machines are just Linux processes so they can act and behave like other open shipped applications we build in more than a decade of virtualization experience with KVM reddit virtualization and OpenStack and can now benefit from kubernetes and open shift to manage and orchestrate our virtual machines since we know this virtual machine this container is actually a virtual machine we can do virtual machine stuff with it like shutdown reboot or open a remote desktop session to it but we can also see this is just a container like any other container in openshift and even though the web application is running inside a Windows virtual machine the developer can still use open shift mechanisms like services and routes let's browse our web application using the OpenShift service it's the same wingtip toys application but this time the virtual machine is running on open shift but we're not done we want to containerize our application since it's a Windows virtual machine we can open a remote desktop session to it we see we have here Visual Studio and an asp.net application let's start container izing by moving the Microsoft sequel server database from running inside the Windows virtual machine to running on Red Hat Enterprise Linux as an open shipped container we'll go back to the open shipped Service Catalog this time we'll go to the database section and just as easily we'll create a sequel server container just need to accept the EULA provide password and choose the Edition we want and create a database and again we can see the sequel server is just another container running on OpenShift now let's take let's find the connection details for our database to keep this simple we'll take the IP address of our database service go back to the web application to visual studio update the IP address in the connection string publish our application and go back to browse it through OpenShift fortunately for us the user experience team heard we're modernizing our application so they pitched in and pushed new icons to use with our containerized database to also modernize the look and feel it's still the same wingtip toys application it's running in a virtual machine on openshift but it's now using a containerized database to recap we saw that we can run virtual machines natively on openshift like any other container based application modernize and mesh them together we containerize the database but we can use the same approach to containerize any part of our application so some items here to deserve repeating one thing you saw is Red Hat Enterprise Linux burning sequel server in a container on open shift and you also saw Windows VM where the dotnet native application also running inside of open ships so tell us what's special about that that seems pretty crazy what you did there exactly burr if we take a look under the hood we can use the kubernetes commands to see the list of our containers in this case the sequel server and the virtual machine containers but since Q Bert is a kubernetes operator we can actually use kubernetes commands like cube Cpl to list our virtual machines and manage our virtual machines like any other entity in kubernetes I love that so there's your crew meta gem oh we can see the kind says virtual machine that is totally awesome now people here are gonna be very excited about what they just saw we're gonna get more information and when will this be coming well you know what can they do to dive in this will be available as part of reddit Cloud suite in tech preview later this year but we are looking for early adopters now so give us a call also come check our deep dive session introducing container native virtualization Thursday 2:00 p.m. awesome that is so incredible so we went from the old to the new from the close to the open the Red Hat way you're gonna be seeing more from our demonstration team that's coming Thursday at 8 a.m. do not be late if you like what you saw this today you're gonna see a lot more of that going forward so we got some really special things in store for you so at this point thank you so much in tomorrow thank you so much you guys are awesome yeah now we have one more special guest a very early adopter of Red Hat Enterprise Linux we've had over a 12-year partnership and relationship with this organization they've been a steadfast Linux and middleware customer for many many years now please extend a warm welcome to Raj China from the Royal Bank of Canada thank you thank you it's great to be here RBC is a large global full-service is back we have the largest bank in Canada top 10 global operate in 30 countries and run five key business segments personal commercial banking investor in Treasury services capital markets wealth management and insurance but honestly unless you're in the banking segment those five business segments that I just mentioned may not mean a lot to you but what you might appreciate is the fact that we've been around in business for over 150 years we started our digital transformation journey about four years ago and we are focused on new and innovative technologies that will help deliver the capabilities and lifestyle our clients are looking for we have a very simple vision and we often refer to it as the digitally enabled bank of the future but as you can appreciate transforming a hundred fifty year old Bank is not easy it certainly does not happen overnight to that end we had a clear unwavering vision a very strong innovation agenda and most importantly a focus towards a flawless execution today in banking business strategy and IT strategy are one in the same they are not two separate things we believe that in order to be the number one bank we have to have the number one tactic there is no question that most of today's innovations happens in the open source community RBC relies on RedHat as a key partner to help us consume these open source innovations in a manner that it meets our enterprise needs RBC was an early adopter of Linux we operate one of the largest footprints of rel in Canada same with tables we had tremendous success in driving cost out of infrastructure by partnering with rahat while at the same time delivering a world-class hosting service to your business over our 12 year partnership Red Hat has proven that they have mastered the art of working closely with the upstream open source community understanding the needs of an enterprise like us in delivering these open source innovations in a manner that we can consume and build upon we are working with red hat to help increase our agility and better leverage public and private cloud offerings we adopted virtualization ansible and containers and are excited about continuing our partnership with Red Hat in this journey throughout this journey we simply cannot replace everything we've had from the past we have to bring forward these investments of the past and improve upon them with new and emerging technologies it is about utilizing emerging technologies but at the same time focusing on the business outcome the business outcome for us is serving our clients and delivering the information that they are looking for whenever they need it and in whatever form factor they're looking for but technology improvements alone are simply not sufficient to do a digital transformation creating the right culture of change and adopting new methodologies is key we introduced agile and DevOps which has boosted the number of adult projects at RBC and increase the frequency at which we do new releases to our mobile app as a matter of fact these methodologies have enabled us to deliver apps over 20x faster than before the other point about around culture that I wanted to mention was we wanted to build an engineering culture an engineering culture is one which rewards curiosity trying new things investing in new technologies and being a leader not necessarily a follower Red Hat has been a critical partner in our journey to date as we adopt elements of open source culture in engineering culture what you seen today about red hearts focus on new technology innovations while never losing sight of helping you bring forward the investments you've already made in the past is something that makes Red Hat unique we are excited to see red arts investment in leadership in open source technologies to help bring the potential of these amazing things together thank you that's great the thing you know seeing going from the old world to the new with automation so you know the things you've seen demonstrated today they're they're they're more sophisticated than any one company could ever have done on their own certainly not by using a proprietary development model because of this it's really easy to see why open source has become the center of gravity for enterprise computing today with all the progress open-source has made we're constantly looking for new ways of accelerating that into our products so we can take that into the enterprise with customers like these that you've met what you've met today now we recently made in addition to the Red Hat family we brought in core OS to the Red Hat family and you know adding core OS has really been our latest move to accelerate that innovation into our products this will help the adoption of open shift container platform even deeper into the enterprise and as we did with the Linux core platform in 2002 this is just exactly what we did with with Linux back then today we're announcing some exciting new technology directions first we'll integrate the benefits of automated operations so for example you'll see dramatic improvements in the automated intelligence about the state of your clusters in OpenShift with the core OS additions also as part of open shift will include a new variant of rel called Red Hat core OS maintaining the consistency of rel farhat for the operation side of the house while allowing for a consumption of over-the-air updates from the kernel to kubernetes later today you'll hear how we are extending automated operations beyond customers and even out to partners all of this starting with the next release of open shift in July now all of this of course will continue in an upstream open source innovation model that includes continuing container linux for the community users today while also evolving the commercial products to bring that innovation out to the enterprise this this combination is really defining the platform of the future everything we've done for the last 16 years since we first brought rel to the commercial market because get has been to get us just to this point hybrid cloud computing is now being deployed multiple times in enterprises every single day all powered by the open source model and powered by the open source model we will continue to redefine the software industry forever no in 2002 with all of you we made Linux the choice for enterprise computing this changed the innovation model forever and I started the session today talking about our prediction of seven years ago on the future being open we've all seen so much happen in those in those seven years we at Red Hat have celebrated our 25th anniversary including 16 years of rel and the enterprise it's now 2018 open hybrid cloud is not only a reality but it is the driving model in enterprise computing today and this hybrid cloud world would not even be possible without Linux as a platform in the open source development model a build around it and while we have think we may have accomplished a lot in that time and we may think we have changed the world a lot we have but I'm telling you the best is yet to come now that Linux and open source software is firmly driving that innovation in the enterprise what we've accomplished today and up till now has just set the stage for us together to change the world once again and just as we did with rel more than 15 years ago with our partners we will make hybrid cloud the default in the enterprise and I will take that bet every single day have a great show and have fun watching the future of computing unfold right in front of your eyes see you later [Applause] [Music] [Music] [Music] [Music] [Music] [Music] [Music] [Music] anytime [Music]

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Dee Kumar & Dan Kohn, CNCF | KubeCon + CloudNativeCon EU 2018


 

>> Narrator: Live from Copenhagen, Denmark. It's theCUBE covering KubeCon and CloudNativeCon Europe 2018. Brought to you by the Cloud Native Computing Foundation, and its ecosystem partners. >> Welcome back everyone. This is the theCUBE's exclusive coverage here in Copenhagen, Denmark for KubeCon 2018, part of the Cloud Native Compute Foundation, also known as CNCF. I'm John Furrier with Lauren Cooney, the founder of Spark Labs. We have two of the main players here at the Linux Foundation, CNCF, Dan Kohn, Cube alumni, Executive Director, and Dee Kumar, Vice President of product marketing. Great to see you guys. Welcome back. >> Oh, thrilled to be here. >> So you guys, not to build your head up a little bit, but you're doing really well. Successful, we're excited to be a part of the seeing, witnessing the growth. I know you work hard, we've talked in the past and off camera. Just, it's working. CNCF's formula is working. The Linux Foundation has brought a lot to the table, you've taken the ball with this cloud-native community, with Kubernetes' growth, good actors in the community, a lot of things clicking on all cylinders. >> Thanks, we're thrilled to be here. And, yeah, 43 hundred people is the biggest ever for KubeCon CloudNativeCon. It's actually the biggest conference the Linux Foundation has ever thrown, which is incredibly exciting, and also here in Europe to show it's not just a North American focus. >> And you've got the big North American event in Seattle. What's the over-under on that? Six thousand, eight thousand? >> (laughing) I think we could probably go a little higher. 75 hundred we're going to max out, so we'll see if we hit that or not. But we had 42 hundred six months ago when you were with us in Austin, and so we think a ton of people, you know people joke about Seattle being the cloudy city, because it's not just Amazon there, but Microsoft, Google, Oracle, and IBM all have huge Cloud offices. >> Yeah, and University of Washington has an amazing program in computer science, a lot of tech there. Seattle's certainly an awesome city. I got to ask you, you know, you do a lot of work with the members in the organization. Obviously the success is well-documented. We're seeing that Kubernetes is now going to main stream tech. And still learning, a lot of people learning about Kubernetes, but there's a lot going on. You talk to a lot of people. What's the vibe? What's the conversation like? What is actually happening in the membership organization that's notable, that you'd like to share and get the word out on? >> Actually Dee's been working directly with all the members since we've been putting together our marketing plan. >> So one thing I can do share, in terms of the vibe, and some of the feedback that we have received from the members, is they really, I think it's about what we've heard from all the keynotes and the sessions, it's about really us coming together as a community and defining, what is Cloud-native? And what's that journey? And so as a step towards that, what we have done as in CNCF is we have launched the interactive landscape which kind of showcases a lot of the member work that we are jointly working on. And secondly, the trail map is our attempt to define what is the cloud-native journey. So we've kind of highlighted about 10 steps and the processes to get to a cloud-native journey. And I think the next steps, in terms of the vision and the goal, is to really engage the member community and to start building on that. What is containerization? What is orchestration? Microservices? CICD? And Dan, I think in his keynote, touched upon continuous integration. We really need to figure out integration, testing, development, deployment, and what does that, all that narrative mean, and how as a community we have a common understanding and a framework. And then the next step would again be in terms of building use cases, and also really showcasing some heroes in the community which is our developers. So our developers and contributors end of the day are the heart and soul of the cloud-native ecosystem. So we really want to bring their stories, match that up with our end users. We're seeing incredible growth with just leveraging the cloud-native different types of architectures. >> One of the things I'm looking at, the cloud-native Interactive Landscape map, which is, by the way, pretty impressive. The market cap numbers in the trillions, of course includes Amazon, (Dee laughing) so let's take that out, but good healthy distribution. I want to talk about the startups, because they are going to be the lifeblood of the future. The total funding to date is 4.7 billion of cloud-native compute foundation members, startups. Significant investment. They got to build, they're building products. What do they care about? What is the most important thing for them? You guys, can you share what they're asking for, is there a profile that you're seeing emerge? Because there's a new era coming, right? It's the new guard. The new guard of startups. >> There's incredible diversity of startups there, and what I love about the startup ecosystem, kind of like the open source ecosystem, is they're all looking for their niche. And so there's kind of an evolutionary strategy for it. But it's really amazing to see different approaches towards attacking different markets, consulting specific products and such. One of the neat things about CNCF is that we like to think of ourselves as a commercially friendly startup. All 20 of our projects, commercially friendly open source foundation. All 20 of our projects use the Apache 2.0 license which allows you to create a commercial product on top of it. We are very cognizant of the fact that most large enterprises are going to want support from a business startup or an established industry player and in many cases, both, in order to roll this out. And so we love the fact that that's available if they need it, but they also could download the projects directly and work with it themselves if they want. >> Well I think that's an important point. I always want to highlight, because what you said I think is really, I think, is a big part of the success. You guys do a great job of balancing community, and the role of the people within the community, and the traditional Linux Foundation mission of having great open source. But at the same time, you're like, hey, it's okay to have a business model with Open. And I think this new era is being highly accelerated on commercialization. And I think this is, I think, a unique part of the digital fabric, the digital businesses of the future. And Cloud hits that right on. So that's, to me, a great step. The question I have for you is, how do you keep it going? What's next? Because the bar is high. Now you got to do more. What's the strategy? What's the plan? >> So one thing we can do is, like a highlighter to get back to the cloud-native journey, as a story. Today we kind of have a lot of emphasis on Kubernetes. And it's just not limited to containers and orchestration, and we really want to expand the narrative and the story to address all the 20, 19 different projects that is all housed under the cloud-native computing foundation umbrella. And we really want to bring out use cases, value props, and I think there's a lot to be told here. Like how do we address security? There's a lot of sessions and keynotes today that bring about security applications, testing, CICD, how does it develop a community, can enable all these different amazing technologies. So we've had a lot of talk about it, but I think it's something that startups that I've been talking to have asked me to help or the CNCF in terms of just simplifying these conversations. Like how do we make it simple? And to your earlier point, like they want to start with simplicity and that eventually leads to monetization, and they want to take the fabric from CNCF so they can then start building a narrative in terms of a solution, and what does that mean in terms of value creation? >> Exactly and I actually work with a couple startups inside of the CNCF, and work with them on their business model, and what they're doing, and what is that narrative that they're going to start telling? You know, I think it's interesting because you have all these communities actually coming together in that ecosystem. And when you take a look at that, you probably, you talk about use cases. And I think those are really what the developers are going to be driven towards is their, you know, onboarding to this platform, basically. And what are the top use cases that you guys see kind of across the board? >> So I think there are three main use cases and I think our partner did a great job of summarizing that today. So I think it's primarily security, because that's the enterprise audience, and most Fortune 100 companies are dealing with that. Second, I would say it's about agility. It's about who gets to market first, and back to the startup point. It's about addressing that. Thirdly I would just say it's scalability. I think it's about going beyond, you know, a science project where you just have Kubernetes, or a couple containers deployed in your own QA or staging environments. And people are really thinking about, how do you adopt Kubernetes on a large scale? How do you take it to a production type of environment? And what does that mean? And I think, today, "Financial Times" Sarah Wells, she did an amazing job of just taking us through what it took them in terms of getting from where they were and how they had to deal with, you know, all the challenges and I think she made a great point about technologies can be boring. So I think that was some of the key takeaways in terms of the three use cases that we could build on collectively would be agility, scalability, and security. >> Well, you're also changing the conversation, really. You know, we had the great customer of, you know, Kubernetes on here earlier. And they were talking about, really, how their whole infrastructure, they don't have to worry about it, it's, you know, based on AWBS now and they were phenomenal and, really, what the point was is that, you know, they are not just an energy company, they're actually a technology company and a software company. And that's really what, you know, folks want to be working with today. And are you seeing more of that as, you know, with the startups, is that they have the opportunity to start shifting their companies more in the direction of technology for the end users? >> Absolutely. Yeah. But it is amazing the just range of different approaches that they're taking. But we think there's every level of the stack. We have this, you referred to the Interactive Landscape before, and I will give the quick pitch, it's a l.cncf.io, but it is amazing to see all of the different layers of which these startups are operating. >> And you guys do a good job of breaking down which ones are open source, which ones are not, funding, public, private, category. So, good job. So what's the numbers look like? Dan, I'd like you to just take a minute, just, I know you do this a lot, but just do it on the record, what's the numbers? Members, growth? How many cities are you going to be doing KubeCon in? You mentioned Shanghai before we came on. Just run us through the numbers, inside the numbers. >> So, the first number that I think's the most exciting is we've over 20 thousand developers actively engaged across our 20 projects. And so those aren't users, I mean the users is hundreds of thousands. But those are people who've actually found issues with it, made a documentation fix, or, you know, added some significant new feature in order to scratch the itch that they were having. We have 43 hundred people here in KubeCon CloudNativeCon. These events are always a great check-in. We were together in Seattle just a year and a half ago and had a thousand people, 15 hundred here a year ago, 42 hundred in Austin in six months. What we're very excited to do is head to Shanghai in November for our first ever KubeCon CloudNativeCon China, where we now have three platinum members there, three gold members, just a huge level of engagement and interest. >> John: And a big developer community there in China. >> Definitely. >> Lauren: Huge developer community there. >> And obviously the language issue is a barrier, and we're going to be investing real resources to have simultaneous interpretation for all of our talks and all of our tracks. >> John: In real time or post-- >> Definitely in real time. >> Primarily in English and then-- >> No, we can do it both ways, and so we're telling every speaker that they can present in Chinese or English, and then the question can be in Chinese or English. >> I love that. And it's a cost, but we think that that can really help bridge those two different parts. And then we'll be in Seattle in December 11th through 13th for our biggest ever event, KubeCon CloudNativeCon. Along that journey, we've been increasing members and so we had, I believe, 68 in Berlin a year ago, and we're at 216 today, and of those we have 52 members are end user community, who we're particularly proud of. >> Well, congratulations. I want to get those numbers out in the end, because last time we talked about they had more projects coming, coming so good job. Dee, I want to get your thoughts on the branding. Obviously, CNCF, Linux Foundation, separate group, part of the Linux Foundation. I noticed you got CloudNativeCon built into it, still. Branding, guys, thoughts in here, because there's more than Kubernetes here, right, these Cloud-natives, so what's the, are you going to keep one, both, dual branding, what's the thoughts? >> So, I would say the branding will be defined by the community and the fact that we have 20 different projects. I wouldn't put a very strong emphasis on just having one type of a branding associated with cloud-natives. One of the things that I'm thinking about is I've been talking to the community, and I think it's the developers and contributors, again, who's going to define the branding of cloud-native in general. And I think it's still something that we, as a community, have to figure it out. But, essentially, it's going to be beyond containers, orchestration. There's a lot of talks around Prometheus, we talked about Code OS, Redhead. So I think it's just, you know, a combination of how all these projects work together, in a way, it's going to define the branding strategy. So I think it's a little bit too early for me to make some comments on that. >> The best move is not to move at this point. (Dan laughs) I'm a big fan of cloud-native, but KubeCon... Little bit of a conflict with theCUBE, because people-- >> Oh yeah (laughs). >> But we're not going to put a trademark and bring it on you guys, yet. >> We appreciate that. >> We love the confusion. You're in good company, vice versa. Okay, serious question, Dan. I want to ask you, and Dee you can weigh in, too, on this. You're a student of the industry. You've also been around a while, you've seen many waves. For folks that-- >> I'm not that old. (Dan laughs) >> This is a new wave. You're younger than me. For the folks that are looking at this going, "Okay, the numbers are there. I'm seeing growth, "you've got my attention." And they're still trying to grok what this wave is about, this new modern era, cloud-native, KubeCon, Kubernetes. Certainly insiders kind of see it, and there's a lot of people who are kind of high-fiving each other, but, yet, it's not yet fully here. >> Dan: No. >> How important, how do you describe it to someone at a cocktail party or in the elevator. How do I explain to them the historic nature of what's happening. In your own words, what's happening? >> And it is tricky because, you know, at my kids' little leagues games, if we're just chatting about what we do, I sometimes describe it as the plumbing software for the internet. And it's not a bad metaphor; Linux has also been described that way, because plumbing is really important. Now, most of us never think about it, we don't have to worry about it, but if it breaks, we all get extremely upset. And, so, I do think of our sort of overarching method is to say that the whole way this software is being developed, being deployed, especially being pushed into production, is changing. And it's almost all for the positive, where, in the last decade, you had virtualization, but that was often through a proprietary solution that you were paying a tax for every new application you deployed. And the idea today, that you can pick this software platform and then deploy to any public, private, or hybrid cloud and avoid that lock-in, but get all these advantages in terms of higher velocity, lower cost, better efficiency, the slack of lock-in. Those are really amazing stories that lots of enterprises are just now hearing. There's this cliche of crossing the chasm. And I do think we can make the argument that 2018 is really the year that Kubernetes crosses the chasm outside of just innovators and into the early majority. >> You know, I think that's definitely the case. I've been walking around and talking to people and one of the things that I'm hearing is that folks are here to learn, and there are actually kind of beginners on Kubernetes and they actually want to learn more and their companies have sent them here in order to actually figure out if the technology is going to work back at their home company, which is, you know, ranges from tech companies to banks to different types of, you know, manufacturing and things along those lines. It's really a tremendous, you know, growth. What do you see in terms of end users? What types of end users are you seeing mostly? Or what kind of categories do those fall into? >> So we've 52 companies in our end user community now, and a number of them are up on the stage, including folks like Spotify I thought gave a really inspiring talk today about not just being a user of software, but how to engage with the community and contribute back and such. But the thing that I love is that there really is not sort of one industry that we're focused on or avoiding. So, finance who have tons of issues around regulation and such, they're much more likely to be deploying Kubernetes in their own infrastructure on bare-metal. But we have just fantastic stories. Bloomberg won our first ever end user award. We're very big on publishing, so to have not just "The New York Times", but Reddit and Wikipedia. And then a number of just very interesting consumer-oriented companies like a Pinterest or a Twitter, Spotify, and then the list sort of keeps going and going. >> Yeah, it's impressive, and I got to say, you know, you're agnostic as everyone needs plumbing, right, so plumbing is vertical agnostics. So, it's-- >> Well, in the cliche from Marc Andreessen, that software's eating the world is, again, somewhat true. That there really is not a company today that can avoid writing its own software. I mean, as I was saying in my keynote yesterday, that software tends to just be the tip of the pyramid that they're building on tons of open source. But, every company today needs to-- >> And your point of commercialization-friendly or membership organization, which you've built, is important. And I got to say, for the first time, we heard on theCUBE multiple times, not from the visionary to believe and drink the Kool-Aid, so to speak, like us and you guys and users and other commercial entities have used the word "de facto standard" to describe Kubernetes. Now, there's only a few times in history when you've heard that word. There's been inflection points. >> Dan: Linux, certainly one of them. (laughs) >> Yes so, again, when you have a de facto standard that's determined by the community, just really good things happen. So we're hopeful and we'll keep monitoring it. >> Yeah, and I do want to say that we take that responsibility very seriously. And so we have thing like our certified Kubernetes program about making sure the Kubernetes remains compatible between the carefulness that we do apply to new projects coming in, so we hope to live up to that. >> Great and, Dee, we talked yesterday, going to get that share that information with our team, happy to amplify it. There's a lot of people who want to learn, they want to discover and find out who to connect with, so a robust community. >> We really appreciate you going with us on this journey. >> It's been fun, we're going to hang along for the ride. We're going to be a sidecar, pun intended. (laughing) Well, theCUBE, Dan, thanks so much. Congratulations, executive director. >> Oh, thank you very much. >> Dee, good work. CNCF, here inside the cube at their event, here at KubeCon 2018, I'm John Furrier and Lauren Cooney. We'll be back with more live coverage. Stay with us after this short break. (techno music)

Published Date : May 3 2018

SUMMARY :

Brought to you by the Cloud Native Computing Foundation, Great to see you guys. The Linux Foundation has brought a lot to the table, It's actually the biggest conference What's the over-under on that? and so we think a ton of people, and get the word out on? Actually Dee's been working directly with all the and the goal, is to really engage the member community One of the things I'm looking at, One of the neat things about CNCF is that and the role of the people within the community, and I think there's a lot to be told here. are going to be driven towards is their, you know, and how they had to deal with, you know, all the challenges You know, we had the great customer of, you know, of the different layers of which these startups And you guys do a good job of breaking down in order to scratch the itch that they were having. And obviously the language issue is a barrier, No, we can do it both ways, and so we're telling And it's a cost, but we think that that can really help in the end, because last time we talked about One of the things that I'm thinking about is I've been The best move is not to move at this point. on you guys, yet. You're a student of the industry. I'm not that old. For the folks that are looking at this going, at a cocktail party or in the elevator. And the idea today, that you can pick this software if the technology is going to work back at their But the thing that I love is that there really is not Yeah, it's impressive, and I got to say, you know, that software's eating the world is, again, somewhat true. And I got to say, for the first time, we heard on Dan: Linux, certainly one of them. that's determined by the community, just really between the carefulness that we do apply There's a lot of people who want to learn, We're going to be a sidecar, pun intended. CNCF, here inside the cube at their event,

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Kash Shaikh, Dell EMC & Marc Oshima, Aerofarms | Dell Technologies World 2018


 

>> Announcer: Live from Las Vegas, it's theCUBE, covering Dell Technologies World 2018, brought to you by Dell EMC and it's ecosystem partners. >> Well, good afternoon. Welcome back. We are live here on theCUBE, Dell Technologies World 2018 in Las Vegas. I'm John Walls with Stu Miniman, and I hope you're hungry, because we have just something to satisfy that tech appetite of yours. We have a couple of guests to talk about plants, about eating, about vegetables. I'm looking forward to this. Marc Oshima, the CMO of AeroFarms. Marc, thank you for being with us. >> Yeah, thank you. We're always excited to share what we're doing and how we're transforming agriculture, how we are feeding communities, nourishing communities by enabling local production, bringing the farm to the cities where people are >> Excellent. Good, and also with us is Kash Saikh, who is the vice president of Cloud & Solutions at Dell EMC. Kash, good to see you too. >> Thank you for having me again. >> You bet. So, Marc, let's talk about AeroFarms. First off, to share your story with the folks at home, in case they're not familiar, when I said I hope you're hungry, there's a reason why, AeroFarms. >> Yeah, so this is one of the exciting things we're doing at AeroFarms. I'm one of the co-founders. We are growing indoors. This is indoor vertical farming. We're growing in converted warehouses without sun or soil. We're really rethinking about agriculture and what we can do when we think about the rising challenges we have, climate change, we think about access to fresh water, loss of arable land, but more importantly, again, how can we take back that control as a way of growing. So, AeroFarms, the Aero in AeroFarms refers to aeroponics. We're misting the roots with nutrients and water, using 95% less water than the field farm, so, we have growing that uses no pesticides, we use a fraction of the fertilizer. So, we're really changing the inputs, something about how we have better outputs, and this is an exciting time for us. >> Well, I do want to say, first off, congratulations to the Dell EMC Workforce Transformation Award Winner, so congratulations on that front. That's a great distinction, I assume quite proud and quite worthy, right? >> Yeah, a number of farms, we have a number of great stories and it's, really, starts with the company, so idea, the culture, the people, is really what makes it special, so for us it's very meaningful. So, we think about these farms being for the community, by the community. Our global headquarters are Newark, New Jersey. It's an exciting time in that city, helping really be part of a revitalization there. But 40% of our team's coming from Newark, 85% live within 15 miles of Newark, so the idea that we can create these year-long jobs, better wages, better benefits, and then really address the fact that it's a food desert as well, increase access to healthier foods, so it's exciting to think about what we can do with business. >> Yeah, okay, Kash, actually, I was trying to remember, was it an Innovation Award, that AeroFarms-- >> It was Innovation Award. >> Maybe for our audience, talk about some of what that means to be an Innovation Award. Obviously, AeroFarms is doing some pretty cool stuff, but bring if from the Dell's standpoint. >> Absolutely. Obviously, we are working very closely, my team and myself have been working very closely with AeroFarms, and they way I describe AeroFarms is they are what I call the digital born companies. They are completely disrupting the vertical data in the line of business they are in from all aspects. The innovation is multi-dimensional, if I can say that. So, if you look at the environment they are in, this is actually a warehouse, so there is no sunlight, there is no soil, and they are reducing the water by 95%. They are using our IOT technologies, alternative think technologies. They have the gateways where they are collecting the logistics of location, they have the multi-spectral camera where they are taking the images of the plants as they are coming in on these trays, in terms of what is the color, what is the texture, how they can make it more tasty, and that's where the machine learning comes in, where we are now looking at automating some of this processes around when they have the images, rather than sorting through these images, how we can automate them and make it even more digital. But, you know, it's impressive in terms of how many aspects of digital born and digital firsts these guys are using, because I don't think there is any customer that I've talked to in this area who's using all aspects of the disruption and disruptive technologies as Marc and AeroFarms is using. So, to me, they really deserve the Innovation Award, from so many perspectives and how they are leveraging the technology and how they are changing things in a very traditional industry. If you look at farming, it's a traditional industry but it's from the ground up, more digital. >> Marc, actually, I want to start there first, before we get into the IOT and the ML and all that wonderful stuff that we definitely want to cover. What do you consider your company? Are you a farming company, are you a technology company? You're one of the co-founders. Bring us back. You know, I'm from the area of New Jersey that you're based, no land, no soil, no area, a lot of time no sunlight, yep, sounds about right for that part of New Jersey. >> Yeah. >> So, the founding, was it a point in time with the technology, the skill set, bring us back, and how do you think of yourselves? >> Yeah, so, at the heart, we're farmers, but we're also a technology company, and there's this symbiotic relationship, and we realize if we want to be good at the farming, we need to be good at the technology. If we want to be good at the technology, we need to be good at the farming as well, so understanding this interaction. So, we think about the biology and the engineering and the environment, and what's exciting now, is we bring in the big data, so we're constantly sensing and looking at what's happening with the plant, so the plants are being monitored 24/7, so we think we are the world experts in understanding how to grow plants. We can grow a wide range of different types of crops, so what's exciting is that we can really change the equation in terms of having a better product. We can think about things like the taste, texture, and nutrition and, ultimately, yield, so we can have the right kind of sustainable business plan. >> I love that you say you're farmers. It's not just, oh, we're a software company, we're a digital company. You're right, farming's at the core. People that have seen the videos or tried your products understand, this is great produce you create there, and that pairing with, a big thing we've seen at the show, is the technology and the people, and bringing those together. So, bring us inside a little bit, your IT world, how you manage that, how you look at data as being a core piece of your business. >> What we love about the theme of the show is, well, make it real. It's so real that it's very tangible, it's food and thinking about how we can have that impact in communities, so everybody in our organization's very much aligned in terms of, again, how can we think about a new way of farming, from seed to package, a new way of growing that has food safety at the highest level. So, how do we do that? The technology, the IT, is helping enable a lot of this. We have an amazing workforce. We also have over 300 standard operating procedures on how to run a farm, but what the technology's allowing us to do is how to replicate that, how to scale the businesses, and how to make sure we can do it consistently all year round. So, the idea that we have eyes and ears and, literally, we think of ourselves as the plant listeners or the plant whisperers of what do the plants need, and the technologies allowing us those windows into, again, how to optimize 'em. >> So, what are you measuring? I assume, soil, moisture, humidity, what all inputs are you getting, and how are you processing them, and then how's that, I guess, Kash, I want to hear from you, how you are enabling them to make sense of all this, the analytic side? >> We actually are growing without soil, so just to make that perfectly clear. >> That's right, I'm sorry. That's right, my mistake. >> We have patents on our growing medium. It's actually cloth, and so it's a reusable medium, but allows us a lot of flexibility in terms of the types of crops we can grow. But, we're looking at the environmental factors, so things like temperature, humidity, we're also thinking about things like the nutrients, we're thinking about lighting. So, we talk about having this expertise, understand how to have more effective photosynthesis. We can look at each plant, each stage of maturation, understand not only what type of spectrum of light, but what intensity, what frequency, so we can actually have more effective photosynthesis indoors and then have that consistently. So, we actually develop these growing algorithms, so this idea, so we have an R&D farm, R&D team is taking this, and really calibrating it, then it gets handed over to our operations team. An idea, though, is every harvest now becomes another learning opportunity, and the fact is we can have up to 30 different harvests a year, so those are 30 learning opportunities. We think about that, exponentially, how much more insight we have, how much more data, and that's what I think makes AeroFarms unique is this holistic view. So, we've been doing this since 2004. We'll be the first to tell you, it's really challenging, how to bring this together, and it's by working with partners like Dell can help us really amplify that work and be able to use the technology to make insights around the data. So, we think of ourselves, not only harvesting the plant, but harvesting those insights as well. >> Kash, bring us inside this. Correct me if I'm wrong, but it doesn't sound like something that's off the shelf. What's involved in putting together a solution like this? How does Dell work with customers like AeroFarms? >> There are several aspects. The way we started was we started with an IOT workshop with AeroFarms. We also started with the gateways, which as we discussed, provide the logistics and location and all that good stuff. Then, we started working with Marc and the team on looking at how we can automate some of the things, especially around imaging. As I mentioned, there is a multi-spectral camera that is mounted on the harvesting table, and as you're taking the images, and rather than manually sorting through the images, the ideas can be applied, machine-learning technologies to automate some of that, because this is where we come in, especially from the machine learning and deep learning perspective, when we get involved, the first thing we evaluate is, with the customers, do they have the right set of the data? Do you have the right amount of data? If they have the data that is classified and categorized, and then the next step is, obviously, we can apply automation and machine learning and deep learning to get them faster in size, rather than doing it manually. And, in this case, like I said, they were pretty much already there because they are digital born company, they were using analytics, they have a lot of data, and so for us, it was a matter of making sure we focus on what is that they are trying to achieve. There are several aspects, as Marc said, there is yield, obviously, you want to increase the yield per square foot, and one of the matrix I saw was 390 times better productivity per square foot. So, the end of the day, they are trying to increase the yield and, for us, it's a matter of as we are gathering these images, how we can make the process more automated using machine learning and deep learning, if I can simplify that with the right amount of data. And, to answer your other part of the questions, too, in some cases, it's very customized, because they are different kind of customers. As I said, for me, AeroFarms is an example of digital first, they are already there, they have most of the technologies. In some cases, we work with a customers, they are in mature industries and they are mature customers, but they are now trying to be more digitally transformed. They are using some aspects of the digital transformation and we have them leverage machine learning or deep learning to get the faster in size and intelligence that can help them with a competitive differenciation. What we are trying to do is, as a part of these engagements, as in working with really advanced customers like AeroFarms or some other customers, is figuring out what are the typical challenges these customers run into. If I can summarize it, because there are a variety of customers, there are, obviously, early adapters, they come to us, they have figured out most of the things, but they have a particular problem around, let's say, a framework, TensorFlow, Caffe2, and what have you. Large majority of customers, they have heard about AI, they come to me and they are like, Kash, help us get started on this journey. It's just basic stuff, like how do get, even if I have IOT, how do I get started? So, I've heard about GPU and AI which is a cool thing. At the end of the day, I'm trying to solve my business problem and use it as a competitive differenciation. To me, is my job, especially as a solution lead for Dell EMC, is to bridge that gap, not just give them a building block, give them a solution. So, what we do, we have a lab we put together solutions. So, AI, complicated. You have various kinds of accelerators, you have operating systems, and then you have these frameworks, and then there are vertical softwares, what I call the AI. What we are doing in our labs is, based on learning from some of the customers, we are developing an AI validated start, which can be customized, depending on what the customers are trying to do, but they got a lot of guesswork. They got all their self-learning. Along with that, we provide consulting services, so, for example, these data scientists, they are a premium resource, hard-to-find skill sets. We don't want our customers to have the data scientists setting up these data lakes or figuring out all the stacks on their own. Give them the stack, provide them the services, so the idea is from accelerator, GPU, to solution faster. >> Right. So, Marc, your peers really appreciate that you're chewing some glass and working on some of these early solutions. Most customers I talk to, IOT is still relatively early, same thing with machine learning, so I wonder if you could just take a second and talk to some of the things you've learned, anything now that you look back and say I wish I'd understand this, either from a technology or organizational standpoint, kind of key lessons learned, that we can all learn from what you've done. >> Yeah, sure. I think at the heart of what we've heard is that this is a customized approach, so the idea that there are some key lessons, but we're writing a new playbook. That's what's exciting about this, and I think what was so key, though, what we saw with Dell, is there was a process. There was a collaboration in terms of hearing. These are important lessons because this is foundational work. So, I mentioned about the IOT workshop, really be able to get the stakeholders together, really understanding what are the business, and what are our business needs. But, it's not just that one point in time. It's ongoing, it's a really great collaboration, understanding how we integrated the data, what are the data insights, and then how we, it's a interative process, in terms of, again, how do we continue to evolve and make sense of this? Those are important lessons for any partner and any person starting out in this journey is making sure, understanding what the business's business need, but then being able to articulate that in a way that it'd be turned into action and insights. >> Anything that surprised you or caught you off guard in the process? >> Yeah, these are things that, again, because it's new, so it's making sure that we have an organizational commitment, again, in terms of, again, how we prioritize as scaling business, as an emerging business, with competing objectives at times, but at the heart of this is we really need to see what's the pulse of the business, and this is what's allowing us, so this is really important about making sure, strategically, it's front and center. >> It's a cool concept, no doubt about it, hydroponics, technology, an idea that you could say it's taken root, but that would be a terrible joke, and I wouldn't do that. Marc, thanks for being with us. Kash, a pleasure as well, and continued success. >> Well, I appreciate it. >> AeroFarms, based in Newark, New Jersey. Back with more, you're watching Dell Technologies World 2018, and we are live on theCUBE in Las Vegas, Nevada. (techy music)

Published Date : May 2 2018

SUMMARY :

brought to you by Dell EMC because we have just something bringing the farm to the cities Kash, good to see you too. First off, to share your of the exciting things so congratulations on that front. so the idea that we can but bring if from the Dell's standpoint. in the line of business they that we definitely want to cover. and the engineering and the environment, People that have seen the videos and how to make sure we can do it We actually are growing That's right, I'm sorry. and the fact is we can have something that's off the shelf. and one of the matrix I and talk to some of the so the idea that there so it's making sure that we have an idea that you could and we are live on theCUBE

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Shannon Kellogg, AWS | AWS Public Sector Q1 2018


 

>> Announcer: Live from Washington DC, it's CUBE Conversations with John Furrier. >> Well, welcome to a special CUBE conversation here at Amazon Web Services headquarters in public sector, in Washington DC, actually, in Arlington, Virginia. It's a CUBE coverage on the ground in Washington DC. Our next guest is Shannon Kellogg, who's the Director of AWS Public Policy in Americas, here, joining us. Thanks for spending the time with us. >> It's a pleasure to be here. >> So obviously, public policy is a big part of public sector, hence the success you guys have had. Amazon's had great success. I mean, you go back four years ago, the shock heard all around the cloud was the CIA deal. >> Shannon: Indeed. >> And since then, there's been this gestation period of innovation. You guys have been penetrating, doing a lot of hard work. I know how hard it is. And kind of knowing the DC culture, how hard was it, and hard is it for you guys now? Is it getting easier? I mean, policies, got a lot of education involved, a lot of moving parts. >> Yeah, well, I joined over five years ago. And when I joined, there was very little understanding that Amazon was even in the cloud computing business. And so we really had to start from scratch. And so it was just basic education and awareness work. And I wouldn't call that easy, but it certainly was in a different time where people were curious about Amazon, AWS, and cloud. What is cloud computing? The cloud computing directive of the Federal Government, Cloud First Policy, had just come out a year prior, and so there was a lot of curiosity. So people were willing to talk. People were curious, but they didn't really understand what cloud computing was. And again, they didn't even realize AWS was in that business. >> And back at that time, and I know you have a tech history over at EMC before and RSA. You know the tech game. You've seen many waves of >> Shannon: I have. >> innovation, and it's almost a time where you saw some interesting shadow IT developing. Shadow IT term referred to kind of a in-the-shadows experiment. You put your credit card down and get some Amazon, get some cloud, and test, kick the tires, if you will, kind of, without anyone seeing you, called shadow IT. That became a big part of the growth. How much shadow IT has been involved to kind of force Amazon to the table? Did that help? Was that a help-driver for you guys? Was it going on? >> Yeah. Well, it's interesting, because when you look back four or five years ago, there were a lot of first movers in departments and agencies, folks in little units that I had actually even never heard of in some of the big agencies, customers that I would speak to that were experimenting with AWS and commercial cloud. In those days, they were able to take out their credit card and experiment a little bit with it and discover what was possible. And we saw a lot of uptake in interest as a result of some of that experimentation. But really, things started to change in a big way when AWS won the contract to build the community cloud for the intelligence community. And following that win, and as that project was implemented, and in the six months to a year after that award, we saw a lot more interest by agencies to not just experiment, but to go bigger. >> I couldn't get Amazon to confirm. I've tried many times on the CUBE, Jassy and Teresa, to get them to confirm that that was certainly a shadow IT effort, that someone within the CIA came out of the woodwork and said, "Hold on IBM, we have an alternative." >> Yeah, well I can't-- >> (laughing) Conferment denied. I can't comment on that either, but I can tell you that it was a very open, competitive process that we won. And it was a very big deal for the community and a very big deal for us. And that's when we really started to see a number of other agencies and organizations, really, not just experiment with cloud, but how can we leverage this to get the same benefits that the intel community needs? >> And IBM didn't help either. They got cocky. They figured they're going to sue you guys and ended up amplifying it, where the judge actually said on the ruling, "Amazon is a better service." >> Shannon: Yeah. >> I mean, you couldn't get a better testimony. But let's talk about that move. >> There was a resounding public, or resounding legal opinion, and I would encourage your viewers who haven't read it to read it. >> It's well doc, but at SiliconANGLE. Search SiliconANGLE, AWS, IBM, CIA deal, you'll find it. But I think what's notable about that is it's kind of cocky, because the old way of doing things was schmooze, win the ivory tower, have that relationship, lean on that relationship. And the IT just, they were just like going through security at the airport, just whatever, right? >> Shannon: Right. They just checked the boxes. You got to win the C level. That now has changed, where not only at the buying and evaluation process bottoms up, there's a lot of consensus involved. There's now new stakeholders. >> You bet. >> Talk about that new dynamic, because this is a modern trend. It's not just send it to the department for a check box, it's truly agile. Talk about this new, modern procurement process that people are going through. >> You bet, and it's still evolving. But over the last few years, we've seen a lot of interest by federal organizations to shift from what is traditionally a capital expense model to an operational expense model. And you'll probably laugh at me that I actually even remember this. But in the 2015 budget, with the previous administration, President Obama's budget request in 2015, there was, actually, on page 41 of that budget, a line, or actually a paragraph, that talked about how the Federal Government would need to continue to move to commercial cloud services. And in the language, in the budget, it actually talked about the consumption model, the operational expense model versus the traditional capex model. >> Shannon, what is commercial cloud, because, I mean, again, back to the old days, kind of back in my days when I was growing with the industry, you had a federal division that managed all the government stuff, sometimes separate products, right, I mean, absolutely different, unique features >> Yeah, you bet. >> in the government. Now with the cloud, I'm I hearing that this is the same cloud that Amazon runs? Is it a different product. I know there's different private clouds. >> Certainly, our cloud >> But what is the commercial cloud? >> is one option. >> Explain what the commercial cloud is. >> Yeah, our cloud is one option in this area of commercial cloud services. And we think it's a great option. But if you look at the different types of solutions, NIST actually talked about this when they put out the definition on what cloud computing should be described as several years ago. I think the final definition came out in 2011. And at the time, they called public cloud, which we in federal agencies, now, really refer to as commercial cloud, as one of the deployment models. But it also is really emphasizing commercial solutions and commerciality, versus having an agency go out and try to build its own cloud, or to issue a special contract that is controlled by that agency, that does a traditional private-cloud type of build, like for example, California did with CalCloud several years ago. We're seeing more and more agencies move away from that model and into procuring-- >> Why is that? Why are they moving, costly? >> Well, because, yeah, it's-- >> Just like HP and everyone else backed out of the cloud, same reason? >> It's costly, and one thing, looking at CalCloud, and if you haven't sort of looked at what they did with their policy, in 2014 they issued a policy, California did, which basically created a preference for CalCloud. And by August of 2017, they moved away from that preference reversing the policy and then doing sort of a about-face and saying not only is there not a preference for CalCloud, this privately built cloud, anymore in California, but there's going to be a preference for commercial cloud services and leveraging commercial solutions and technologies. >> Is that, again, the same reasons why a lot of commercial vendors like HP, even VMware, and others who kind of backed out of the cloud. It's expensive, it's complicated, right? I mean, is that main driver, or is it of talent? I mean, why did CalCloud move from that to the (mumbles). >> Yeah, I mean, I obviously can't speak for what other >> Well generally speaking. >> companies have done, but I think, based on our observations at the federal level, at the state level, and even internationally, we're seeing more and more governments in their cloud policies focus on how to leverage commercial cloud services, versus build their own, or go out and spend a billion dollars in trying to build their own through a contractor or traditional contractor. >> I talked to Teresa Carlson. >> And by the way, just for the record, in California, it was IBM who actually ended up building CalCloud. >> Nice dig on IBM there, good one. >> So I just talked to Teresa Carlson, and she and I, we talked about the notion of commercializing ecosystem, to bring in tech in with government kind of the mash up or integration culturally among other things, technology. I had an interview with an executive of New Relic, one of Amazon's top customers. I think they were saying they were getting FedRAMP certified. But there's a variety of certifications that you guys offer, essentially, people in the ecosystem, non-governmental, but they can come in and provide solutions. Can you talk about that dynamic, because we're seeing that become a trend now, where folks in the Amazon, or in general tech ecosystems, that says, "Hey, you know what? "I can go in through Amazon and do some business "with the public sector." >> Sure. >> What do you guys offer? Is there a playbook? Is there a roadmap? Is there check boxes? What's the playbook? >> Well, first of all, if you don't, if your viewers don't know what FedRAMP is, it's a Federal Government security evaluation process for cloud computing providers and service providers who want to sell to the US Federal Government. And the framework itself was created on international security standards as well as existing, and evolving in some cases, NIST security standards. And so it's a common security framework that any company of any size can align to. And AWS, because we believe so strongly in security, and because we had a lot of first-mover customers in the Federal Government marketplace, we really invested in that process early. And as a result of that, we meet the FedRAMP requirements at the different security levels that exist. And we were one of the first providers to actually do that. And then partners started working with us and leveraging that. And not just-- >> So what does that mean to the partner? >> resellers or systems integrators. >> They piggyback on your certification, or they have to do some modifications? It's like the stamp of approval. You can't get into the party without it, right? >> Yeah, you have to have FedRAMP certification in order to provide certain types of services to the US government. A lot of agencies now require some type of FedRAMP certification to do business with them. It's very common now. >> Any other certifications that they need? >> Well, that's the most common one at the federal level. But there are some department-specific requirements too. So for example, when you look at the Defense Department, they've added additional requirements on top of FedRAMP. And providers like us have to go through those additional processes, and then again, if you're partnering with an AWS, and we've gone through that process, and we made the investments, and you have some software that's based on AWS, that's going to be favorable for you in order to sell to that market segment. >> Take a step back and zoom out, and talk about the big landscape in DC. Obviously, DC's the center of the action for policy and this, obviously, public sector all around the world, as well in the United States. What's the trend that you're seeing? I mean, obviously Amazon is kind of like its own black swan. If you think about it, lowering prices, increasing functionality on a daily basis is the business model of Amazon. They win on scale. Customers are happy with that, and government seems to be happy. Yet, the competitive landscape couldn't have been at an all-time high, certainly Oracle, IBM, Microsoft, the others are competing for the same dollars, potentially. So you have the old guard, as Andy Jassy would say, and you guys, self-described, new guard. What's the landscape look like? How are you guys competing? What observations can you share and the role of policy makers in the middle of it? Are they stuck between all this? >> Well, it's been quite a ride over the last seven or eight years. Again, going back to when the First Cloud Policy was issued by the Federal Government CIO at the time, Vivek Kundra. Very early days, they talked about each agency trying to move three applications to the cloud. And so we're in a much different time now. And there a lot of agencies who are going all in on cloud services. That's actually been really fast forward and emphasized even more over the last couple years, starting with the previous administration and the emphasis that they had. I talked about the 2015 budget, but we also saw a number of other policy initiatives in the previous administration during President Obama's eight years. And then you had the new administration come in and really emphasize this early too. And one of the cornerstone things that's happened by the new administration over the last year has been the development and then the release of the President's report on IT modernization. And they set up a new Office of American Innovation and a new tech council to advise on the development of that report. And they went out, the administration did, and got a lot of input from the industry. And then they came out with a final report of recommendations in December. And they're already moving to actually implement a number of those recommendations and pilot a number of recommendations in agencies. And they're really emphasizing shared services and commercial cloud services as a key part of that effort. And then in tandem with that, and this is probably going to shock you, but in tandem with that, Congress actually worked with the administration to also make a number of changes to law, including in December of 2017, a really important piece of legislation called, The Modernizing Government Technology Act. And that was added to the Defense Authorization Bill for 2018. You know in this town, that's often how legislation moves at the end of the year is through the Defense Authorization Bill. So that legislation was passed, and it really is focused on helping agencies in their IT modernization efforts move again from legacy IT systems to the cloud. And they're not doing that just because it lowers cost, and it's a good thing to do. They're actually doing that as part of a way to improve the Federal Government cyber security posture. And that's the last thing I'll talk about that's happened in the last year is I mentioned what the administration did about its IT Modernization Report. I mentioned also what Congress did with the Modernizing Government Technology Act. Well, there was also a new cyber security executive order that was issued during the year by the President that married those two things. And basically, it made very clear that there's very little possibility to actually improve the security of federal systems without moving forward with the IT modernization efforts and moving to cloud. >> And the cyber warfare we're living in it truly is a cyber war. This is not just hand-waving, IT modernization. It's beyond that, because it's critical infrastructure now being compromised. This is our security, right? It's the state of the security of our people. >> You bet, and quite frankly, we're seeing this trend internationally too. You see more and more governments making this link between IT modernization and improving the country's cyber security posture. We've seen that in the UK. We've seen that in Australia. >> It takes cyber war to fix IT. I mean, is that what we're coming to? Okay, final point is obviously IT modernization is key. I love that that's driving it. We need to go faster. Question for you, Cloud First, certainly a big, initial orientation from the government to go Cloud First. Question for you is do you see the expectations yet in the agencies and throughout public sector for cloud speed, meaning not only like speed in feeds, like moving to an agile outcome, faster delivery, under budget, on time, lower prices. Is that expectation now set, or is it still getting there? >> No, we believe it is being set. And if you look at developments over the last six months I mean, you now have the Department of Defense that has come out with changes to policy to move faster to the cloud. And if you look at the Secretary, I'm sorry, the Deputy Secretary of Defense's memorandum in September of last year, he talked a lot about leveraging cloud computing as part of a way to make improvements in the implementation of technology, such as artificial intelligence and machine learning. And in that memo they talked about that's a national security imperative to do that. And so they're seeing technology, not as the end result, but as a way to enable a lot of these developments and changes. And we've already seen many of those steps forward in the intelligence community. So it's very encouraging to us that we're also seeing now the Department of Defense move in this direction. >> So they're running towards the cloud. They're running towards AI. >> Shannon: They're trying to. >> They're going as fast as they can, because they need to. >> They're trying to. >> Final word on security. What do you hope to have happen in our government in America to really crack the code on cyber security and surveillance all these holes? Especially with IoT, their surface area couldn't be bigger. >> So before I answer that question, one thing I did want to say, because we were talking about the Department of Defense. And you had added a question in earlier about what some of the legacy proprietors may or may not be doing. Well, these two things are married. What we're seeing at the Department of Defense is that they really do want to move faster to the cloud. But you probably noticed in the press that there are many different legacy providers out there. And as our boss would say, Andy Jassy, a lot of the old-guard community, who want to try to slow that transition down. And so that is really something that's going on right now. There's a lot of effort out there to pursue the status quo, to continue to keep the lights on. And if you look at what amount of the federal budget that is being spent on keeping the lights on in IT, it's over 80% is what the number is commonly referred to. And so a lot of companies are making traditional companies, old-guard companies, as Andy Jassy would say, are making a lot of money following that same path. And you know what? The taxpayer can't afford that anymore. The mission owners can't afford that anymore. And so it's really time to move forward into the 21st century and leverage commercial cloud technology and some of these advanced capabilities, like artificial intelligence and machine learning. And then to answer your final question-- >> Hold on, on the DoD thing, because I did see that in the news. It's obviously clearly FUD, fear, uncertainty, and doubt, as they said, in the industry from the old guards to slow down the process. That's classic move, right? Hey, slow down. >> It is. >> We're going to lose this thing. If we don't put the brakes on-- >> It's a classic move that some companies have been practicing for a few decades. >> Decades, decades, we all know that, I mean, it's called Selling 101 when you want to secure the ivory tower. Okay, so papa, this is the tactic, and I want to get your opinion. This is a policy question. It's not in the best interest of the users, and the society, and the citizens to have a policy injection for political warfare on deal selling. So that's, essentially, what I see happening. >> Yeah, we agree. >> I want to get your comments on this, because it comes up to a very political topic, technically, multi-cloud. >> Shannon: Right. So the move is, whoa, you can't go to one cloud. We're putting all our eggs in one basket, so we have to spec it to be multi-cloud. That's the policy injection. What's the impact of that in your opinion? Does it matter? Does the government say, "Hey, we should do multi-cloud"? You actually want to have one cloud. That's what Andy Jassy >> Well, actually... >> wants, right? >> you know, that's not true. What I'll say, and take a step back here, is that what we want is what the customer wants. And a lot of companies are forgetting the customer in this debate about multi-cloud versus single cloud. >> So you're jump ball. Your philosophy is to say jump ball. >> We welcome open competition. >> So multi-cloud, >> We want to serve the customer. >> and single cloud. >> What happened with the intelligence community is they had an open competition for a single-cloud approach. One thing that's happening right now as part of this broader discussion is some of the old-guard companies are spreading a lot of misinformation about-- >> John: Like what? >> the different types of contracts, and so there's been a lot of misinformation about DoD trying to pursue a sole-source contract for this JEDI program that they're trying to do to implement cloud. And what DoD has said in the stories that I've read on the record is that they want to have an open competition. And whether or not they choose a single award, which is different than a sole source that's not competed, if they choose a single award that's competed like the intelligence community did, or they choose a multi-award, it's going to be their preference. And let me tell you something, the policy space, what we've heard consistently from members of Congress and other policy makers is they don't want to be in the business of telling the Department of Defense or any other federal agency, specifically, what they should do or shouldn't do in a technology procurement. What they want is an open competition. And I'll tell you on the record, we embrace an open competition, and that will serve the customers well. But don't tell the customer if you're an old-guard company what they should or shouldn't do. And don't ignore the customer. >> Well, I would, from just a personal standpoint, industry participant, I would say that that's going backwards. If you have the companies doing old-guard tactics injecting policy and FUD to slow a deal down just to save it, that's really bad, bad form. >> Yeah, it's- >> That's going backwards. >> It's bad policy, but it's also bad for the taxpayer, and it's bad for the mission owner. So let there be open competition. Let the customers, like DoD, make the decisions that they're going to make, which is going to be best for their mission. >> Well, Shannon, as Teresa, a basketball fan, would say, "Jump ball," make it fair. >> Let's do it. >> Let the chips fall where they may. >> Let's do it. >> All right. Open competition, that is Amazon's position here in DC. Policy, no problem, we can play that game, but it's all about the customers. Shannon, thanks for your insight and observations. >> You bet. >> Shannon Kellogg, who's in charge of policy at Americas for AWS. This is CUBE Conversations. I'm John Furrier, thanks for watching. (rhythmic electronic music)

Published Date : Feb 21 2018

SUMMARY :

it's CUBE Conversations with John Furrier. It's a CUBE coverage on the ground in Washington DC. hence the success you guys have had. And kind of knowing the DC culture, The cloud computing directive of the Federal Government, And back at that time, and I know you have a tech history get some cloud, and test, kick the tires, if you will, and in the six months to a year after that award, came out of the woodwork and said, that the intel community needs? They figured they're going to sue you guys I mean, you couldn't and I would encourage your viewers And the IT just, They just checked the boxes. It's not just send it to the department for a check box, And in the language, in the budget, in the government. And at the time, they called public cloud, And by August of 2017, they moved away from that preference Is that, again, the same reasons why at the federal level, at the state level, And by the way, just for the record, kind of the mash up or integration culturally And the framework itself was created It's like the stamp of approval. in order to provide certain types of services Well, that's the most common one at the federal level. and the role of policy makers in the middle of it? and got a lot of input from the industry. And the cyber warfare we're living in We've seen that in the UK. from the government to go Cloud First. And in that memo they talked about So they're running towards the cloud. to really crack the code on cyber security a lot of the old-guard community, because I did see that in the news. We're going to lose this thing. It's a classic move that some companies and the society, and the citizens to have a policy injection I want to get your comments on this, So the move is, whoa, you can't go to one cloud. And a lot of companies are forgetting the customer Your philosophy is to say jump ball. the customer. is some of the old-guard companies And don't ignore the customer. injecting policy and FUD to slow a deal down and it's bad for the mission owner. Well, Shannon, as Teresa, a basketball fan, would say, Let the chips fall but it's all about the customers. This is CUBE Conversations.

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Sunil Khandekar, Nuage Networks from Nokia | CubeConverstions


 

(upbeat music) >> Hey, welcome back everybody. Jeff Frick here with theCUBE. We're in our Palo Alto Studios for our CUBE Conversation, taking a little break from the shows as we get ready, actually, for the winter break which will be a nice little break for us and the crews and the gear. This is different, exciting. It's a little bit more intimate. We're really excited to have our next guest. He's Sunil Khandekar. He's the founder and CEO of Nuage Networks which is part of Nokia, a CUBE alumni. I think we last saw you at DockerCon 2016. >> That's right. >> Jeff: So, great to see you. >> Good to see you again. >> Absolutely, so, been a little more than a year. >> Sunil: That's right. >> So, what do you see as the evolution since we last spoke at DockerCon? >> Sure, it's been great. I couldn't be more pleased with the momentum that we have garnered in the industry: more adoption of our solution, more validation, more events, more customers. >> Jeff: (chuckling) >> Which is great, that's all good stuff. And really, more specifically, in terms of adoption, large service providers across the globe like BT, Telefonica, TELUS, Exponential-e, they're all adopted and launched with our SDN solution. We have had breakthrough wins in terms of public cloud whether it's Fujitsu or whether it's an NTD Data like China Mobile. And of course, you know we continue to have a solid momentum in financial services companies, for private cloud automation, as well as to provide them security software to find security in addition to the private cloud automation. And we had another breakthrough win in China Pacific Insurance Company. So, that continues, and of course it's great always to receive some good validation. So we've won award at MEF on the best SDN solution recently. We won the Right Stuff Award, Innovation Award at ONUG for software-defined security. And every leading analyst firm, Gartner, Forrester, IDC, IHS Markit, ACG, and recently Global Data, they've all put us in the top two as the inventors for doing automation of networking end-to-end. >> Right, because automation in networking was the last piece of kind of the virtualization stack, right, in the automation. So, what is it that you think that you guys are doing special that's allowing you to win? >> Right, so if you remember when we talked, when we started Nuage, we started Nuage to automate networking end-to-end with a software-based approach at the heart of which is a declarative policy and analytics engine. And what that means is we were doing intent-based networking before it was even a thing. >> Jeff: Right. >> And we were doing software-defined networking but in a way that allowed us to do software-defined networking not only in the data center, between the data centers to the public cloud across the wide area and to the enterprise branches. What that means is you're not providing a siloed automation, but we are doing automation end-to-end because ultimately it's about connecting users to the applications. >> Right, right, you had a great quote. I picked it up in doing some research. You know, the metaproblem is you said, "Connect users everywhere to applications everywhere," a really simple kind of statement of purpose but not very simple to execute. >> Sunil: You got it. >> A lot of complexity behind that statement. >> That's right, that's right, incredible amount of complexity, but it's important to construct the metaproblem, look at what it is that enterprises have pain with. They have, let's look at it, right? They have users everywhere, and they want to connect to applications anywhere whether it's private or public cloud. How do they want to do it? Quickly, securely, in a self-service manner, but they want this agility without sacrificing safety and security. >> Jeff: Right, right. >> So what you have is you've got to solve this network automation problem for brownfield or greenfield, because there is nothing like just greenfields. >> Right. >> And we are to do it in their private data centers. You've got to help them burst into the public cloud securely. And you've got to connect all their branch sites together. And what we've seen in the industry and our competitors, they are taking a very narrow view of the problem. So what they have is an automation for only the data centers and automation for just the wide area. And that's only solving half the problem. >> Right, right, and then you've got these pesky things that have just reestablished the expected behavior, the expected access, and oh, by the way, added significantly more attack surfaces and really changed the game in terms of what people want from their applications, what they expect from their applications. And it's tough for businesses to deliver to this level of promise. >> Indeed, and you know, the wall is about instant gratification. You want access to your data quickly, instantly wherever you are. >> Right. >> And what that means is, as consumers, we have everything at our fingertips. But as soon as you step into the business environment, that's completely not true. And so, it's all about consumerization of IT on how do you make IT that agile, how do you actually modernize IT. Because enterprises, their high-order problem is what? To innovate faster by having massive automation across all aspects of their business. What underpins that is a modern IT and cloud architecture. And what underpins modern IT and cloud architecture is three clear things that we are seeing in the industry: software-defined data centers, software-defined wide area network, and software-defined security. So, we like and our customers love that we've thought the problem end-to-end and provide all these three, which is absolutely unique in the industry. No one does this. >> So, I'm curious to get your perspective cause you've been doing this for awhile. >> Sunil: Yes. >> As the security landscape has changed. >> Sunil: That's right. >> Everyone is getting, we get reports every day, we're numb to it now. You know, basically everyone at Yahoo got hacked. >> Sunil: That's right. >> And Equifax got hacked, so everyone's getting hacked. So it's really not about the big wall anymore. There's no such thing as the big wall. >> Sunil: That's right. >> The wall's about crumbled. So it's evolving. We've also seen an increase in state-sponsored attacks as opposed to just kids having fun in the basement. >> Sunil: Yeah. >> How have you seen the evolution of the attacks change and how have you responded within your solutions over this period of time to kind of evolve to the modern security stance that you have to have? >> Look every CXO I meet, the absolute thing that's top of mind is how do you make us go from where we are, a traditional environment, to a higher edge automated environment but make it more secure than what we have. >> Jeff: Right, right. >> And as you noted, the attack surface has increased thanks to the mobility. And you have a lot more surface area because you have applications in public cloud, you have applications in private cloud, you have more mobile users. So, the industry term that often gets used is microsegmentation. Now, what that means is, and that's in response to the fact that, as you noted again, that perimeter security just doesn't cut it anymore. And not only that, but it's also very complex and very manual. So what you've got to do is, while you're automating the data centers, while you're automating the wide area, you've got to bring the security along. You've got to make it as agile. And again, what we have done is we do microsegmentation from the branch all the way to where the application is for that particular user. So in other words, finance users can only access finance applications. And that's a microsegment end-to-end. No one in the industry does that today. What they do is they do microsegmentation only for the applications within the data center or they prevent just the users to communicate between each other but not users to the applications. So, that is very important for our customers to know that we have that capability. But then it's all about also understanding what's going on in the network. >> Jeff: Right. >> And that's where the rich analytics that we have just really help them understand who's talking to who at application level, and being able to then have that domain-wide view and be able to very quickly respond to CERT alerts. So, because today, when a CERT alert comes in, they don't know what to do. They take a brute force approach because they simply don't know where and how to react. But now, because you have this centralized intelligence and you have domain-wide view, and you're able to do microsegmentation end-to-end, you are able to push a button and be as course or as granular but be very surgical and take action very quickly. >> Alright, so, hard to believe that we're almost to the end of 2017 which I can't believe. So as we turn the calendar, what are some of your priorities for 2018? You've been doing this for awhile. What are you working on? What's kind of top of mind as we enter this new calendar year? >> Right, and what we are noticing is we're going from beachheads to mainstream. So, we are getting deployed. The solid deployments is not only as I noted in data centers, in public cloud, private cloud, but also in the wide area. We are collaborating with our customers to really make this mainstream because it is super-important in terms of not only providing that automation and agility but also the security. So that's what we are focused on. We continue to do that, not only for what we call the virtualized security services solution that we have and not only the telco clouds, but also the virtualized services, cloud services. We're going to cover the gamut and that's what we're after. We are really excited to be leading the charge here. >> Alright, well, Sunil, thanks for taking a few minutes. Hopefully it won't be 18 months before we sit down again. And we look forward to watching the progress. >> Great, thank you. Thank you for having me. >> It's a pleasure. He's Sunil. I'm Jeff. You're watching theCUBE. We're in our Palo Alto Studios for CUBE Conversations. Thanks for watching. We'll see you next time. (upbeat music)

Published Date : Dec 14 2017

SUMMARY :

I think we last saw you at DockerCon 2016. the momentum that we have garnered in the industry: And of course, you know we continue to have So, what is it that you think that you guys are doing And what that means is we were doing between the data centers to the public cloud You know, the metaproblem is you said, but it's important to construct the metaproblem, So what you have is you've got to solve And that's only solving half the problem. that have just reestablished the expected behavior, Indeed, and you know, the wall is And what that means is, as consumers, So, I'm curious to get your perspective Everyone is getting, we get reports every day, So it's really not about the big wall anymore. as opposed to just kids having fun in the basement. that's top of mind is how do you make us to the fact that, as you noted again, and you have domain-wide view, So as we turn the calendar, what are some We continue to do that, not only for what we call And we look forward to watching the progress. Thank you for having me. We'll see you next time.

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Jennifer Cloer, The Chasing Grace Project - CloudNOW Awards 2017


 

you hi I'm Lisa Martin with the cube on the ground at Google for the 6th annual cloud now top women and cloud awards event and we're very excited to be joined by our next guest jennifer clora the executive producer of the chasing Grace Project welcome to the cube thank you this project is so interesting I was telling you before we went on that I watched the trailer for it and tell us a little bit about the chasing Grace Project what your plans are for this dunkey series being being released and really the the inspiration sure so it's a documentary series of six episodes about women in tech it really talks about the culture of tech the adversities that women face doesn't shy away from those but moves pretty quickly to inspirational stories of women who have navigated a successful path in tech so that other women can learn from those experiences and join us in tech and for those women thinking about leaving maybe inspire them to stay and give them the tools they need to navigate their own paths forward I love that I was very impressed with some of the women that are featured even in the trailer of how honest they were being did you find that they felt either intimidated to share or maybe liberated to say this is what's going on there needs to be voices and faces to it yeah I think there I think women are feeling empowered right now to talk and when they share their stories they're even more empowered by the community of men and women that come around them and give them support so the women that are on camera volunteered to be so I put out a call for stories in a number of places Irish I was inundated with responses I spent four months the beginning of the year interviewing over a hundred women and trying to understand what the collective experience is for women in tech and so these women are not intimidated they're they're powerful amazing women who I am in awe of their courage what were some of the common maybe that the top two or three kind of common challenges that you heard over and over again that women in tech regardless of if they're in marketing like one you and I are or in engineering that they're facing access to opportunity they seem to feel like they hit a wall you know there's the talk about the ceiling but a lot of them talk about they hit a wall that others don't see but all of a sudden they can't go any further a lot of microaggressions that we've all heard and read about dismissiveness being overlooked in medians and for promotions our first episode is on the pay gap we've heard stories about women who have found out their male counterparts are making more than them and the differences and when they confront their bosses and when they don't so a lot of different examples we have some very explicit stories about online harassment there's some of that in the trailer one of the women Cassady shares a really amazing story about that so they vary but certainly it's happening right and we don't want to shy away from that because I think once you acknowledge what's happening and tell those stories you can start to chart the course forward I agree I think that awareness is incredibly important you are also in technology tell me a little bit about your career path in technology did you always aspire to be in tech were you interested in engineering in software or was this sort of a zigzaggy path to where you are now it wasn't a zigzaggy path I went to journalism school and studied communications and my first job out of college was during the dot-com bubble if you will and so I went into tech it was a lucrative you know career path and I fell in love with it at first it was very intimidating because I didn't speak the language but I learned the language and I learned to work with entrepreneurs I've worked with a lot of startups and translating really amazing vision into stories that anyone can understand and so that's been my pathway through tech and I'm grateful to be here and like I said I think one of the one the the mission of the chasing Grace project is to recruit and retain female talent because we as an industry needs you know a diverse workforce but also women need opportunities to these types of careers they're the most lucrative careers in the world and so that economic opportunity for women as individuals and the need that we have in the industry just put underscores the need for these types of stories to be told definitely so we're at the cloud now six annual top women and cloud awards event how did you come to be involved with cloud now and what are some what if some of your perspectives of now being involved with it yeah so I met Jocelyn the founder of cloud now just a few months ago we were introduced through mutual colleagues and she watched the trailer of the chasing Grace project and said you have to come to the event I want to share your project with our community which was so amazing to hear and so I'm super grateful to be here and to be sharing the trailer a little bit later at the event as well as exhibiting for the first time our photo exhibit called persistence that accompanies the documentary so we will host a photo exhibit at every screening of each episode and that will grow over time as more and more women are photographed for the project but the very first showing is here at the event so we were really excited to be able to do that exciting yeah so uses a six-part series correct when can people expect to start seeing episodes so the first episode is is expected around the end of February 18 2018 exactly we're in post-production now on Episode one we shot it a couple weeks ago and we're already planning episode 2 and when our shoot will be in early probably the first two three months of the year so we expect to release episodes every eight to twelve weeks so that people kind of stay connected and and we can bridge episode to episode for example the first episodes on the pay gap the second episode we think may be on female founders and there's a bridge between women who feel like they aren't being paid fairly to wanting to become the owners of their own companies so they can determine their own worth so so we want to make sure there's continuity in the episodes so as you've gone through and and you said interviewed 100 plus women in the last year what are some of the things that inspire you with the chasing grace project that you feel like we're gonna make a difference here yeah I'm inspired by the courage of these women you know there's so much more awareness about women in tech now among both men and women but a lot of times when women speak up they become that women in the office you know that woman who you know is talking and causing trouble and complaining and that's not the case these women are sharing stories that are important for all of us to understand to build a better future through technology so I'm inspired by their courage because it's no small thing to go on camera and talk about your personal story in hopes that it can help other women and help men also be a part of that conversation so I'm inspired by the courage of the women and that's you know I get notes now you know back from women who are part of the project when they see something go live the trailer the photo exhibit today that are just like I'm so excited to be a part of this and I feel empowered and I found my voice I didn't even know I had a story most the time they tell me and they do so I mean I'm inspired by that I love that and it's so great that that they're not intimidated that they are feeling empowered that they have a voice mm-hmm they matter and what they're doing should be valued there should be no differences would be great if we actually get to a world where there aren't it right we're headed there being more attention and eyes to it thank you I'll get there Thank You Jennifer thank you so much for joining my pleasure where can people find once that the episodes go live where can they find the chasing grace episode they can find them at chasing grace film calm we will have an exclusive media partnership or they will also be distributed online but they can always find them on our website excellent well I'm looking forward to watching it I thank you for sharing your story and for inspiring I'll say inspiring me and probably many of our viewers thanks so much thank you for having me I'm Lisa Martin on the ground with the Cuba Google for the cloud now top lemon and clouds award event stick around we'll be right back

Published Date : Dec 7 2017

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