>>from around the globe. >>It's the cube >>With digital coverage of IBM think 2021 brought to you by IBM. Welcome back to the cube coverage of IBM Think 2021. I'm john for your host of the cube ricardo for lenses here with me is the global managing director for IBM at Citigroup recorded. Great to see you. Thank you for coming on the cube. >>Thanks for having me. >>You're the team leader for Citigroup Managing Director um, a lot going on in the world of finance, Fintech technology, scale transformation. All this is happening. Always a leading edge indicator give us your perspective on the market right now on the, on that vertical and in general because there's so much scale is so much machine learning, so much going on, so much competitive advantages. Give us an overview of the industry, how you see them. >>So john I had the good fortune of working essentially around the world of work in europe in Asia in Australia, back here in north America. And I'll tell you what, there are some, some uh, dynamics are specific to a market. There are also a lot of common threads, right? You know, a lot of common threads right? As you know, my industry, financial services in the middle of uh great disruption right from payments to a global wealth to understand exactly. Not to reposition yourself is a, is a startup. Oftentimes looking time to be dis intimidated by many of the context. I have found that many financial institutions are very adept, a change in the way they operate a lot more nimble than they had been in the past. And they found ways to incorporate a lot of the techniques that some of the Frontex operate with. So they all have shark tanks, they all find a way to uh progress investments that they get to a point of uh, failing fast, right, more are some more adept than others. But for the most part, I'd say that everyone in the market is looking to beef up their, their core competences. >>And, you know, the financial, um, industry has never been shy of using technology ever. They've always poured it on. They always want to get more edge. Um, what's your, what is the edge now in the industry for, um, financial and, and in general, businesses who were learning how to be agile? What's the edge? >>I think the edges really finding a way to be ambidextrous, right? Because in many respects that you don't want to hold on to a franchise to what got you to a level of success. It's oftentimes it's in the case of my client is to be in good stead for more than 100 years, Right? So you don't want to let that go. But you also want to grow a new set of skills and grow competences that they need to take into the future. I have found that in many respects that many of my clients are remind me of what lookers and one said maybe 2025 years ago, our former Ceo and chairman, who said the last thing that IBM needs is a strategy. In fact, I think that many of our financial institutions that don't need a strategy, they just need the competences to innovate and executed scale and it's a lot easier said than that >>card. I want to get your perspective before we move on to some of the initiatives and work at city, which is probably compelling. But I want to get your expert opinion on a question that comes up all the time with customers and that are going post pandemic and looking at growth strategies. The idea of the unit economics of their business models tend to change with more data, more digital acceleration. Is there any observations that you could share for leaders who are looking to get that financial mindset or how the business is changing with whether it's copies or business models. Because at the end of the day, the financial upside of what we're seeing with digital is pretty significant. The economics are seem to be a real game changer on these, these conversations about acceleration, but also the results are business results are money. >>Absolutely, john, as a matter of fact, that I'd argue that while it's true that the common theme, so many and that several of our financial institutions are growing a skill in, in a, in a uh, approaching problems in a different fashion is also true that there's been a lot of redistribution of wealth across financial enterprises, Right? So it's not lost on all of us. Right. The security look at market globalization of the financial institutions, on the work. They really come all over the place with the clear winners in several sectors, site in Asia and europe as quality of North America. So what I argue is that while I think we're all tired of hearing the data is the new oil, right? It's also true that we need to find a way to finally harness the power of it. Right? And that's what I think IBM is more more adept at, right, argue that many of the common threads that we've seen across the financial institutions and back to the, to the measures of success you would indicate in a minute ago, not really around cloud, right around data and around digital transformation. Right? So our approach to cloud, for instance is unique, right? While there are a number of uh very competent hyper scholars, we've taken a different approach to it, right? We've taken our approach is more than after other highly specialized regulated workloads, right. Organ after the layer that allows you to port application seamlessly based on regulation costs and competition across multiple platforms. Right? So this hybrid concept has only been at the center of our strategy and that's the one that mama is is delivering our clients greatest value. Tell you what. I think one client told me once after hearing our hybrid story that while there were many cloud providers, there wasn't anyone that could help them out as much as I B. M. Dealing with your legacy and in all candor. I think it's fair to say that legacy is here to say well past our investment horizon. Right? So that level of self awareness, I think ended up believe forming our collaborations for years to come. >>You know, I'm a big believer and I've reported this and certainly talked to Arvin when um he was on the cube about this microservices, containers, kubernetes, these kinds of new technologies really allow for legacy to integrate well into the new modern era of computing in hybrid cloud. So totally agree. And that is really key tailwind for for innovation and these transformations. I have to ask you ricardo what's going on at city and IBM tell us take us through some things that you're working on, some of the exciting projects that you're driving. >>So the disclaimer is that I started this well three months ago, so I'll try to do my my team proud here. But what I'll tell you is that the teams you talk about are alive and well, it's sitting right? So on the cloudfront we are doing exactly that. We're focusing on on on being uh cities partner on the heavy cloud deployment, acknowledging that higher Ecologist is an ecosystem of participants, right? Technology that IBM s dominance in on prime computing. We'll go through a very different face going forward. We not only a comfortable with it, but we are trying to accelerate its deployment. Right? So you mentioned communities, you mentioned containers, Hence a redhead acquisition, right? Which has been central to the collaboration that we've uh we've established the city and we look at the broad, I'm also gonna go back to data and I will tell you that, uh, you know, uh, cities in the midst of a transformation journey of their own right. It's also the middle of a regulatory challenge. That's second to none. Right. With with the zero cc. Findings that then led to a financial remediation plan that the bank has put in place over the past two months. With that in mind we are looking to help the bank make a make a good crisis make the most of the crisis, right? And so helping, for instance, Mark Sabino, the head of Innovation City, find ways to infuse Ai into their internal Codec practices doing that. It's just smart business. The results in much better outcome at a lower cost and it's something that can scale because it's all seen before. Oftentimes our solutions have lacked the ability to scale to really keep up with them in >>ricardo. The relationship between IBM and city has been long standing. I believe. I read somewhere you're celebrating 100 year partnership. Is that true? If so. I mean, it's a huge milestone. What's the take us through the history and where this is going as a partnership? >>I've heard as a matter of fact is that as I first came on board that in fact our companies have been added for more than 100 years and someone showed me an actual document 100 years old, there was proof positive of that. So I'll tell you, I know that our firms would be added again 100 years from now. I will probably not be here to toast to it but I'm certain they will continue to collaborate and for the strong is this is my responsibility. I'll do whatever I can to help you continue to grow. We're only going to focus on three things I spoke about every cloud. Would you also want to be the partner? Is the bank transforms its operations right and infuse in it. Our Ai and process, information skills and capabilities. I think if we do that, we'll continue to collaborate and will continue to have our partnership fully rests on two pillars that is always independent, which are really innovation can trust >>great commentary, great uh an account that you're leading probably a great team behind how many people are on this team must be pretty massive and I'd love to see that document by the way, was it a memo? Was that type written was a handwritten? You know, it was a P. O. >>It was an Akron document and I get your copy. >>Uh so historic. I love those history. I love the IBM culture longstanding relationships. Final question for you. You've been in the industry for a while, you've seen many waves of innovation if you're talking to a customer, your friend or colleague and they had asked you ricardo, why is this wave so big and so important? What would you tell them, >>john I think at the heart of this transformation, the evolution, the way they should call it is not the intellectual products, the international new processes but entire no value chains that are being established by players that in many cases need need each other to coexist. This is hardly been the case in the past. I think IBM will form a great example of it, right? And so I do think that this is far more disruptive than what we have witnessed in years past and I can't wait to get get in it and my part to lead us through it >>ricardo, great insight, totally agree. This is a time of open collaboration, an ecosystem you're seeing in the ecosystem and network effect where people are integrating together in this new connected distributed economy. Global economy, thank you for coming on the cube, appreciate your >>time. Thank you so much for having me. >>Okay, Ricardo for Relenza, Global managing director for IBM at Citigroup. This is the Cube coverage of IBM think 2021. I'm John for your host. Thanks for watching. Yeah.

>>from around the globe. It's the >>cube >>with digital >>coverage of IBM >>Think 2021 >>brought to you by IBM. Welcome back to the cube coverage of IBM Think 2021. I'm john for your host of the cube ricardo for lenses here with me is the global managing director for IBM at Citigroup recorded. Great to see you. Thank you for coming on the cube. >>Thanks for having me. >>You're the team leader for Citigroup Managing Director um, a lot going on in the world of finance, Fintech technology, scale transformation, all this is happening. Always leading edge indicator. Give us your perspective on the market right now on the, on that vertical and in general because um there's so much scale is so much machine learning, so much going on, so much competitive advantages. Give us an overview of the industry, how you see them. >>So john about the fortune of working essentially around the world of work in europe in asia in Australia, back here in north America. And I'll tell you what, there are some, some uh, dynamics are specific to a market. There are also a lot of common threads, right? You know, a lot of common threats, right? As you know, my industry, financial services in the middle of uh great disruption right from payments to a global wealth to understand exactly. Not to reposition yourself is a, is a startup. Oftentimes looking time to be dis intimidated by many in the context. I have found many financial institutions are very adept, a change in the way they operate, a lot more nimble than they have been in the past. And they found ways to incorporate a lot of techniques that some of the Frontex operate with. So they all have shark tanks, they all find a way to uh, progress investments that they get to a point of uh, failing fast, right, more are some more adept than others. But for the most part, I'd say that everyone in the market is looking to beef up their their core competences. >>And, you know, the financial, um, industry has never been shy of using technology ever. They've always poured it on. They always want to get more edge. Um, what's your, what is the edge now in the industry for, um, financial and, and in general, businesses who were learning how to be agile? What's the edge? >>I think the edges really finding a way to be ambidextrous, right? Because in many respects, you do want to hold on to a franchise to what got you to a level of success. It's oftentimes it's in the case of my client is in good stead for more than 100 years, Right? So you don't want to let that go. But you also want to grow a new set of skills and grow competences that they need to take into the future. I have found that in many respects that many of my clients are remind me of what lugers and one said maybe 2025 years ago. Our former Ceo and chairman who said the last thing that IBM needs is a strategy. In fact, I think that many of our financial institutions that don't need a strategy, they just need the competences to innovate and executed scale and it's a lot easier said than that >>card. I want to get your perspective before we move on to some of the initiatives and work at city, which is probably compelling. But I want to get your expert opinion on a question that comes up all the time with customers and that are going post pandemic and looking at growth strategies. The idea of the unit economics of their business models tend to change with more data, more digital acceleration. Is there any observations that you could share for leaders who are looking to get that financial mindset or of of how the business is changing with whether it's KPI S or business models. Because at the end of the day, the financial upside of what we're seeing with digital is pretty significant. The economics are seem to be a real game changer on these, these conversations are about acceleration, but also the results are business results are money. >>Absolutely john as a matter of fact, that I'd argue that while it's true that the common theme so many and that several of our financial institutions are growing a skill in, in a, in a uh, approaching problems in a different fashion is also true that there's been a lot of redistribution of wealth across financial enterprises, right? So it's not lost on all of us. Right. The security look at market globalization of the financial institutions, on the work. They've really done a little place with the clear winners in several sectors, right? In Asia and europe, as well as here in North America. So what I argue is that while I think we're all tired of hearing the data is the new oil, right? It's also true that we need to find a way to finally harness the power of it. Right? And that's what I think IBM is more more adept at, right, argue that many of the common threads that we've seen across the financial institutions and back to the to the measures of success you would indicate in a minute ago, really around cloud, right around data and around digital transformation. Right? So our approach to cloud, for instance, is unique, right? While there are a number of uh very competent hyper Steelers, we've taken a different approach to it, right? We've taken our approach is more than after other highly specialized regulated workloads, right. Organ after the layer that allows you to port application seamlessly based on regulation costs and competition across multiple platforms. Right? So this hybrid concept has only been at the center of our strategy and that's the one that mama is is delivering our clients. Greatest father tell you what. I think one client told me once after hearing our hybrid story that while there were many cloud providers, there wasn't anyone that could help them quite as much as I B. M. Dealing with their legacy and in all candor, I think it's fair to say that legacy is here to say well past our investment horizon. Right? So that level of self awareness, I think ended up believing forming our collaborations for years to come. >>You know, I'm a big believer and I've reported this and certainly talked to Arvin when um he was on the cube about this microservices, containers, kubernetes, these kinds of new technologies really allow for legacy to integrate well into the new modern era of computer, what's going on at city and IBM tell us take us through some things that you're working on, some of the exciting projects that you're driving. >>So the disclaimer is that I started this well three months ago, so I'll try to do my my team proud here. But what I'll tell you is that the teams you talk about are alive and well, that's sitting right. So on the cloudfront we are doing exactly that we're focusing on, on on being uh cities partner on the heavy cloud deployment, acknowledging that uh fabric odyssey is an ecosystem of participants, right. Technology that IBM uh dominance in on prem computing will go through a very different face going forward. We not only a comfortable with it, but we're trying to accelerate its deployment. Right? So you mentioned communities, you mentioned containers, hence a redhead acquisition, right? Which has been central to the collaboration that we've uh we've established the city and we look at the growth. I'm also gonna go back to data and I will tell you that uh you know, uh, cities in the midst of a transformation journey of their own right. It's also the middle of a regulatory challenge. That's second to none. Right. With with the zero cc. Findings that then led to a final remediation plan that the bank has put in place over the past two months. With that in mind, we are looking to help the bank make a make a good crisis make the most of the crisis right. And so helping for instance, Mark Sabino, the head of innovation City, find ways to infuse Ai into their internal audit practices doing that. It's just smart business, the results in much better outcome at a lower cost and it's something that can scale because it's all seen before. Oftentimes our solutions have lacked the ability to scale to really keep up with them in >>ricardo. The relationship between IBM and City has been long standing. I believe. I read somewhere you're celebrating 100 year partnership. Is that true? If so. I mean it's a huge milestone. What's the take us through the history and where this is going as a partnership? >>I've heard as a matter of fact is that as I first came on board that in fact our companies have been added for more than 100 years and someone showed me an actual document 100 years old, there was proof positive of that. So I'll tell you, I know that our firms would be added again 100 years from now. I will probably not be here to toast to it, but I'm certain they will continue to collaborate and for the strong is this is my responsibility or do whatever I can to help you continue to grow. We're only going to focus on three things I spoke about every cloud, but you also want to be the partner is the bank transforms its operations right and infuse in it. Our AI and process information, skills and capabilities. I think if we do that we'll continue to collaborate and will continue to have our partnership fully rests on two pillars that is always independent, which are really innovation and trust >>great commentary. Great. An account that you're leading probably great team behind how many people are on this team must be pretty massive. And I'd love to see that document by the way. Was it a memo? Was that type written was a handwritten? You know, it was a P. O. Okay. >>It was an Akron document that I get your copy. >>Uh so historic. I love those history. I love the IBM culture longstanding relationships. Final question for you. You've been in the industry for a while, you've seen many waves of innovation. If you're talking to a customer, your friend or colleague and they had asked you ricardo, why is this wave so big and so important? What would you tell them? >>John I think at the heart of this transformation, the evolution, the way they should call it is not the introduction of new products, the international processes, but entire no value chains that are being established by players that in many cases need need each other to coexist. This is hardly ever been the case in the past. I think IBM will form a great example of it, right? And so I do think that this is far more disruptive than what we have witnessed in years past and I can't wait to get get in it and my part to lead us through it >>ricardo. Great insight, totally agree. This is a time of open collaboration and ecosystem you're seeing in the ecosystem and network effect where people are integrating together in this new connected distributed economy. Global economy, thank you for coming on the cube, appreciate your time. >>Thank you so much for having me. >>Okay ricardo for Relenza, Global Managing Director for IBM at Citigroup, This is the Cube coverage of IBM think 2021 I'm John for your host. Thanks for watching. Mhm

>> Hello, everyone. I'm Khalil Ahmad, Senior Director, Architecture at S&P Global. I have been working with S&P Global for six years now. Previously, I worked for Citigroup and Prudential. Overall, I have been part of IT industry for 30 years, and most of my professional career has been within financial sector in New York City metro area. I live in New Jersey with my wife and son, Daniel Khalil. I have a Master degree in software engineering from the University of Scranton, and Master in mathematics University of Punjab, Lahore. And currently I am pursuing TRIUM global Executive MBA. A joint program from the NYU Stern, LSE and HEC Paris. So today, I'm going to talk about building multi-cluster scalable container platform, supporting on-prem hybrid and multicloud use cases, how we leverage that with an S&P Global and what was our best story. As far as the agenda is concerned, I will go over, quickly the problem statement. Then I will mention the work of our core requirements, how we get solutioning, how Docker Enterprise helped us. And at the end, I will go over the pilot deployment for a proof of concept which we leverage. So, as far as the problem statement is concerned. Containers, as you all know, in the enterprise are becoming mainstream but expertise remains limited and challenges are mounting as containers enter production. Some companies are building skills internally and someone looking for partners that can help catalyze success, and choosing more integrated solutions that accelerate deployments and simplify the container environment. To overcome the challenges, we at S&P Global started our journey a few years back, taking advantage of both options. So, first of all, we met with all the stakeholder, application team, Product Manager and we define our core requirements. What we want out of this container platform, which supports multicloud and hybrid supporting on-prem as well. So, as you see my core requirements, we decided that we need first of all a roadmap or container strategy, providing guidelines on standards and specification. Secondly, with an S&P Global, we decided to introduce Platform as a Service approach, where we bring the container platform and provide that as a service internally to our all application team and all the Product Managers. Hosting multiple application on-prem as well as in multicloud. Third requirement was that we need Linux and Windows container support. In addition to that, we would also require hosted secure image registry with role based access control and image security scanning. In addition to that, we also started DevOps journey, so we want to have a full support of CI/CD pipeline. Whatever the solution we recommend from the architecture group, it should be easily integrated to the developer workstation. And developer workstation could be Windows, Mac or Linux. Orchestration, performance and control were few other parameter which we'll want to keep in mind. And the most important, dynamic scaling of container clusters. That was something we were also want to achieve, when we introduce this Platform as a Service. So, as far as the standard specification are concerned, we turn to the Open Container Initiative, the OCI. OCI was established in June 2015 by Docker and other leaders in the technology industry. And OCI operates under Linux Foundation, and currently contains two specification, runtime specification and image specification. So, at that time, it was a no brainer, other than to just stick with OCI. So, we are following the industry standard and specifications. Now the next step was, okay, the container platform. But what would be our runtime engine? What would be orchestration? And how we support, in our on-prem as well as in the multicloud infrastructure? So, when it comes to runtime engine, we decided to go with the Docker. Which is by default, runtime engine and Kubernetes. And if I may mention, DataDog in one of their public report, they say Docker is probably the most talked about infrastructure technology for the past few years. So, sticking to Docker runtime engine was another win-win game and we saw in future not bringing any challenge or issues. When it comes to orchestration. We prefer Kubernetes but that time there was a challenge, Kubernetes did not support Windows container. So, we wanted something which worked with a Linux container, and also has the ability or to orchestrate Windows containers. So, even though long term we want to stick to Kubernetes, but we also wanted to have a Docker swarm. When it comes to on-prem and multicloud, technically you could only support as of now, technology may change in future, but as of now, you can only support if you bring your own orchestration too. So, in our case, if we have control over orchestration control and not locked in with one cloud provider, that was the ideal situation. So, with all that, research, R&D and finding, we found Docker Enterprise. Which is securely built, share and run modern applications anywhere. So, when we come across Docker Enterprise, we were pleased to see that it meets our most of the core requirements. Whether it is coming on the developer machine, to integrating their workstation, building the application. Whether it comes to sharing those application, in a secure way and collaborating with our pipeline. And the lastly, when it comes to the running. If we run in hybrid or multicloud or edge, in Kubernetes, Docker Enterprise have the support all the way. So, three area one I just call up all the Docker Enterprise, choice, flexibility and security. I'm sure there's a lot more features in Docker Enterprise as a suite. But, when we looked at these three words very quickly, simplified hybrid orchestration. Define application centric policies and boundaries. Once you define, you're all set. Then you just maintain those policies. Manage diverse application across mixed infrastructure, with secure segmentation. Then it comes to secure software supply chain. Provenance across the entire lifecycle of apps and infrastructure through enforceable policy. Consistently manage all apps and infrastructure. And lastly, when it comes to infrastructure independence. It was easily forever lift and shift, because same time, our cloud journey was in the flight. We were moving from on-prem to the cloud. So, support for lift and shift application was one of our wishlist. And Docker Enterprise did not disappoint us. It also supported both traditional and micro services apps on any infrastructure. So, here we are, Docker Enterprise. Why Docker Enterprise? Some of the items in previous slides I mentioned. But in addition to those industry-leading platform, simplifying the IT operations, for running modern application at scale, anywhere. Docker Enterprise also has developer tools. So, the integration, as I mentioned earlier was smooth. In addition to all these tools, the main two components, the Universal Control Plane and the Docker Trusted Registry, solve lot of our problems. When it comes to the orchestration, we have our own Universal Control Plane. Which under the hood, manages Kubernetes and Docker swarm both clusters. So, guess what? We have a Windows support, through Docker swarm and we have a Linux support through Kubernetes. Now that paradigm has changed, as of today, Kubernetes support Windows container. So, guess what? We are well after the UCP, because we have our own orchestration tool, and we start managing Kubernetes cluster in Linux and introduce now, Windows as well. Then comes to the Docker Trusted Registry. Integrated Security and role based access control, made a very smooth transition from our RT storage to DTR. In addition to that, binary level scanning was another good feature from the security point of view. So that, these all options and our R&D landed the Docker Enterprise is the way to go. And if we go over the Docker Enterprise, we can spin up multiple clusters on-prem and in the cloud. And we have a one centralized location to manage those clusters. >> Khalil: So, with all that, now let's talk about how what was our pilot deployment, for proof of concept. In this diagram, you can see we, on the left side is our on-prem Data Center, on the right side is AWS, US East Coast. We picked up one region three zones. And on-prem, we picked up our Data Center, one of the Data Center in the United States of America, and we started the POC. So, our Universal Control Plane had a five nodes cluster. Docker Trusted Registry, also has a five node cluster. And the both, but in our on-prem Data Center. When it comes to the worker nodes, we have started with 18 node cluster, on the Linux side and the four node cluster on the Windows side. Because the major footprint which we have was on the Linux side, and the Windows use cases were pretty small. Also, this is just a proof of concept. And in AWS, we mimic the same web worker nodes, virtual to what we have on-prem. We have a 13 nodes cluster on Linux. And we started with four node cluster of Windows container. And having the direct connect from our Data Center to AWS, which was previously existing, so we did not have any connectivity or latency issue. Now, if you see in this diagram, you have a centralized, Universal Control Plane and your trusted registry. And we were able to spin up a cluster, on-prem as well as in the cloud. And we made this happen, end to end in record time. So later, when we deploy this in production, we also added another cloud provider. So, what you see the box on the right side, we just duplicate test that box in another cloud platform. So, now other orchestration tool, managing on-prem and multicloud clusters. Now, in your use case, you may find this little, you know, more in favor of on-prem. But that fit in our use case. Later, we did have expanded the cluster of Universal Control Plane and DTR in the cloud as well. And the clusters have gone and hundreds and thousands of worker nodes span over two cloud providers, third being discussed. And this solution has been working so far, very good. We did not see any downtime, not a single instance. And we were able to provide multicloud platform, container Platform as a Service for our S&P Global. Thank you for your time. If any questions, I have put my LinkedIn and Twitter account holder, you're welcome to ask any question

[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]

>> Announcer: Live from Las Vegas, it's the Cube. Covering VMworld 2017. Brought to you by VMware and its ecosystem partners. >> Welcome back to the Cube. Our continuing coverage of Vmworld 2017 continues. I'm Lisa Martin with my co-host Stu Miniman. We're excited to be joined next by Jason Brown a Cube alumni consultant and product marketing for Dell EMC ScaleIO. Welcome back to the Cube Jason. >> Thank you for having me. >> Good to have you here, so day two of the event, lot's of announcements, lots of buzz. Talk to us about ScaleIO. What's the current state of the business. >> Well, it's actually really exciting right now. We're doing really well. We're seeing great customer adoption. We're seeing massive petabytes of ScaleIO deployed in data centers, and were here at the show really to talk to you about customers for ScaleIO for Vmware. 'Cause everyone here's above E10, obviously, they're doing awesome. We love it. They're doing great. But there's some differences and similarities between the two products that people get confused about, so we're here at the show really trying to help, you know, ease confusion, talk about how it's like peanut butter and jelly, right? Some people like peanut butter, some people like jelly but most people like 'em both, so we're just trying to help people out and understand when to choose which and sometimes it's both. >> Alright, Jason, I've got a history watching ScaleIO since before the acquisition, you know, service providers that usually kind of fit their model a little bit more than VSAN, so when I think scale, I tend to think ScaleIO. I interviewed ADP yesterday. Big customer, rolling out like 30,000 nodes of compute with VSAN. So, scales >> Yeah >> not only one piece of it. Maybe, help us kind of understand some of the, you know, of course there's going to be places that overlap, but what is the, you know, kind of ideal ScaleIO customer, what are they looking for, and how's that differ from the VSAN? >> Sure, so in particular if you're looking at ScaleIO for VMware, there's a few things you need to understand. First and foremost, with ScaleIO we're talking about consolidating resources across the data center. So we're talking data center grade software to find storage which can run in a hyperconverged model or not. And that's really key differentiating, 'cause if you look at these enterprises, especially, these large enterprises that built an IT organization of past 20 years, right? And so when you introduce HCI to them, you're transforming the architecture of the data center but also the IT operating environment. And that's scary for a lot of people who have spent millions of dollars having a server team, a network team, and the storage team. So one of the key things for ScaleIO in a VMware environment is, if you want to transform the architecture to software defined, but preserve that IT operating model, this two layer deployment, we call it, you can do that with ScaleIO. But on the flip side you can also do a more modern architecture with hyperconverged as well. So you can get the best of both worlds. So whether today you're ready to go all the way with the service providers, they'll go hyperconverged, you know out of the gate, but enterprises usually start more traditional and then move to that hyperconverged and ScaleIO provides that pathway to get there. >> Yeah, bring us inside those customers a little. 'Cause I've talked to a couple of very large customers of ScaleIO actually, did a case study at Citi and Citi told me, internally, we're just not ready to go fully hyperconverged. >> Jason: Exactly. >> So they kept that. They're massive scale. Talked to a large global hospitality company that, once again, looked more at kind of the storage usage of what they're doing so, I mean hyperconverged VSAN seems to be having, you know they've got 10,000 customers, they're all in that-- model. >> Exactly. >> So, what is it that gets a customer ready for that? What kind of pushes or pulls them towards being ready for, you know, embracing? >> Well, I think it's understanding your business goals and your desired outcomes. So with something like ScaleIO you're looking at simplicity in the data centers. So you're looking for scale, you know, not tens of nodes where traditional, I hear this said that traditional VSAN deployment is eight to 16 nodes, 'cause they're you know, VMware's everywhere, right? There's a lot of ROBO, SMB, VDI, use scales right there, and that's not really where ScaleIO plays. ScaleIO is about data center, so Tier 1 application, databases, data analytics. It's looking at things like containers and microservices, Splunk, NoSQL. Applications like that. So when you look at those types of applications and workloads, you have to understand that your scale will probably go from tens to hundreds of nodes. Your performance may go from a million IOPS to tens of millions of IOPS. You may need six nines availability 'cause again, you're running in the data center. Customers are replacing their SAN arrays with ScaleIO. So you need all that enterprise class, data center grade functionality with the scale performance and flexibility, the key thing is flexibility as well, if you want to run multiple workloads on a cluster, you need to be able to support VMware, Hyper-V, KVM, Linux, Windows, so and ScaleIO enables all of those things. And therefore, that's why when you look at your business goals, your business ops and what your data center looks like, you need to understand that functionality. Then you decide okay, is it going to be VSAN or ScaleIO or is it going to be both, 'cause I have both of those use cases there. >> So you talked about VSAN and ScaleIO, peanut butter and jelly. Michael Dell on main stage with Pat Gelsinger said VMware and Dell EMC are like peanut butter and chocolate. Both, all good flavors, in my opinion. I'd love to hear an example though, of where, like to your point, before I asked the question. We just had the CTO of Dell EMC storage, speaking with Stu and I a few minutes ago and one year post-combination, and he said customers are starting to understand now the value of Dell EMC-- >> Yes. >> Together. So with that, you know, a year later and customers now understanding the value proposition of this company that now also owns VMware, how much easier is the conversation, you know, away from VSAN verses ScaleIO? I'd love to understand where are you seeing where they both, those peanut butter and jelly sandwiches play together. What are some of the maybe industries or key use cases where a customer would need ScaleIO and VSAN? >> Sure. So if you think about financial services, Citi as Stu mentioned, one of the larger ones there, definitely plays there, in healthcare there's a few large big partner network companies that have come together to be successful there. Telco, Verizon, Comcast, right? Not only just private Cloud but public Clous as well, so when you look at your data center, you got to look at the whole thing. So, for your VDI, your ROBO, your SMB and maybe for a few of your enterprise applications that only need you know, 50,000 in an IOPS performance for your VMs then VSAN is going to be great there, but then you look to the other side of your data center and you've got something like SAP, you know HANA, I think any other, in fact, ORACLE, etc or you're looking to build a private cloud of hundreds of nodes, well that's where ScaleIO is going to sit. Over in that corner, you know? So, it really is understanding what your workloads are and where they play. You know, it's important to know too that for ScaleIO our primary use cases are array consolidation, so you've got silos of arrays in your data center and you want to stop managing silos of arrays, and you want to bring everything together into a single resource, a single cluster, boom, ScaleIO. You want to build the cloud environment whether you're a service provider building a public cloud like Swisscom for example, who built a public cloud based off of ScaleIO, or a private cloud like CitiGroup for example. It's pretty much a private cloud; mix of array consolidation as well. And then something like a gaming company that we've worked with where they are doing this next generation DevLogs containers, microservices, well ScaleIO's great for that too, 'cause it has the flexibility to start small and grow and support the various things that they need to be able to deploy their applications 32% faster. So you know, it really encompasses the whole data center. >> Yeah, a bunch of interesting points that I want to unpack a little bit there. Specifically, you're talking about all the new applications and the new technologies that people are doing. One of the challenges most people have, you know, the stack we've been using, I think, for my entire IT career is, you know, we spend what, somewhere between 70 and 90% of our time keeping the lights on. >> Jason: Yes. >> And the wave of kind of software-defined, you know, all of these type things, supposed to be, we need to simplify our environment, you know and, therefore I can take those resources and reallocate them, retrain them, put them on cool new things. What are you seeing from the customers, you know, just organizationally from what happens to the storage people as well as how do they take advantage of some of these tougher things like application modernization? >> Good question. Good question. So, you know it depends on the company right? There are, like you said, there are some customers that want to keep them separated and that's perfectly fine you know, there are tools that you can use with ScaleIO so that you can manage the storage independently of the compute. But then you've got things like our tight integration with vSphere, where the VMadmin can manage the storage as well. So, it depends on the preferences as well as the maturity of the organization and the skillset of the folks that are managing it as well. If you can have a storage admin become more agile and be able to manage the compute and the VMs as well then perfect. They become more generalists, right? We've talked about how these specialties becomes more generalists in these types of HCI and NextGen environments. So if they have that skillset then perfect and both ScaleIO and VSAN can enable that. And then if you're looking at app modernization, you know what do you need from an infrastructure storage perspective to achieve that, and how can you enable your application developers access that storage even faster? And that's really was ScaleIO does with the whole automation points behind everything. With, be able to add resources on the fly, remove resources on the fly, reallocate on the fly. So being able to be flexible for what they need when they all of a sudden are ramping up a new application is really critical. >> Yeah. I guess, I'm wondering if you have any specific examples. One of the critiques if you talk about, you know, storage, admins, fast is not something that usually, you think of. Flash is fast and everything like that but, how do we keep up with the pace change, how do I move things? How does ScaleIO help change that equation? Even just specifically for storage? >> Well I think that in order to be able to keep up with that change, right, it's about, as you said, simplifying their job and making it easier. So, if you've got the tools and the, just the functionality in the product itself, to be able to help them learn faster, be able to press a button as opposed to being able to allocate an array group and (murmurs) things that have an architecture, that makes that be able to achieve that as well, that's really how you do it. You know I haven't talked to any storage admins lately, unfortunately. So I can't give you a specific example, but that's really what we see at kind of the one on one level. >> And from a buyer's train of perspective, so much has changed and shifted towards this C-Suite. When we look at things like data protection, we, you know, some announcements about that yesterday, storage, and you said you haven't spoken with storage admins in a while. There's a lot of data that show that data protection storage isn't an IT problem, it's a business problem. So how has the conversation now with Dell EMC with respect to whether it's ScaleIO or whatnot, shifted upstream if you will, talking to more senior executives, rather than the storage guys and gals that are managing specific pieces? Tell us about that-- >> Sure. >> Conversation and maybe cultural shift. >> Well when you talk to any C level executive, what's the top of mind, right? Security, saving, cost savings, budget, right? So when we're talking to executives, where they talk about data center transformation, how software defines storage and enables that both at the architectural level and at the IT level, but also about how we can make their business easier to run and how it can save them money. so if you're able to get all this great flexibility and scalability and all this you know, performance, but then be able to preserve the features that you need, like compression and snapshots and being able to connect to your data protections suites as well? So if you can tell them all that and say hey and you know what, we have customers saving 50% five year TCO by doing that, without needing to do data migration or tech refreshers anymore. They're like alright, sign me up. Because you have to understand too, when you talk to them, they don't need to go buy an array the next day, and spend a couple million dollars they maybe be will be able to utilize in the future or not. They can start very small. Three nodes, four nodes, and have this pay as you go licensing so they love that as well because it grows on their terms. Not on our terms, on their terms. And that's really important for you know people that in those C level suites that are trying to maximize the efficiency of the business. >> Alright, Jason, one thing's when customers buy into a solution like this, it's more of a platform discussion these days and of course one of the things they're looking for is where are you taking me down the road? So it's great, here's what I can do today, one of the things I love this whole wave of it, is, you know, upgrades and migrations were like, you know, the four letter words for anybody in storage. >> Dirty words. >> And I said, you know, when we have a pool of resources and I can kind of add and remove nodes it was like, oh my God, that was, we conservatively estimated like five years ago that 30% of the overall TCO was based on that alone and. Wow. Scrap that. Last time you're ever going to need to, you know, migrate once you get on this platform. But, I want you to talk to us a little bit about, you know a little bit, kind of the vision and roadmap. What are >> Sure. >> You talking to customers about. >> Absolutely. So, you know with a product like this, it's constantly evolving and innovating so when we talk to customers about what's in the future, well you have to first be thinking about data services. Data services are always very important and with ScaleIO, you know, admittedly, we're a little short on some data services because we more focus on scalability and performance and making sure that we have a six nines architecture. So, the first and biggest thing that's coming very soon, if you were at Dell EMC with ScaleIO is compression. So being able to, you know for your block storage workloads, being able to maximize the efficiency of your storage even more with some in line compression? Very important. So we're doing that. We're also enhancing our snapshot's functionality so that, you know when you talk snapshots and SDS, you know, you compare it to an enterprise array, probably not up to snuff. Well what we're doing now with our snapshot keeping in relation to ScaleIO is we're actually going to have them be better or even much better than something you'd find in like an all flash array. You know, where you can have you know, thousands of snapshots in a v-tree and things like that. But it also goes to hardware as well. 'Cause there's always hardware, right? And with the innovation within Dell EMC with Dell PowerEdge servers with our friends in CPSD, we're able to innovate a lot faster with ScaleIO and SDS. So, 14G was announced. Well ScaleIO's going to be one of the first products within Dell EMC through our ScaleIO Ready Node to support mV dims and MVME. So as you know we support MVME today, one of the few software device storage platforms out there today that supports it, in a roll your own server model. With the Ready Node 14G coming out later this year, with the ScaleIO Ready Node, immediately out of the gate mVdim and MVME technology in a ScaleIO Dell EMC hardware product, 'cause it's already you know its Dell PowerEdge servers and ScaleIO software. And then helping our management keep our management keep (murmurs) as well so, introducing VVols for our VMware customers, being able to provide something called AMS which is our automated management services for the Ready Node so that you can deploy, configure, manage, upgrade, not only the storage software but the firmware as well as the EXS hypervisor all in a single button, in all a single interface, so we're doing that as well. So it's all about, you know, taking advantage of NextGeneration functionality from the hardware perspective, simplifying the management, then introducing critical features and functionality that our customers have been asking for. >> Just to make sure I'm 100% on this, things like the data services, that's software, so everybody that's got it today, will be able to upgrade it. Obviously the next generation of hardware always helps along the way, but you know, you manage those a little bit separate even though you want to handle both of those vectors. >> Yes, exactly. So when you upgrade to ScaleIO.next when it comes out you'll get that feature functionality. Now there's a few things you need to understand, right? You should have Mvdims and some type of flash media to support it. >> Stu: Sure. >> Because you're trying to maximize scalability and performance while providing these features, there's some dependencies there. But yeah, out of the gate, those features will be available. That's why it's called software-defined storage. It's all in the software, all this world of goodness is. >> Okay so take me upstream. Lot of new features, functionality coming out; what are the new business benefits if I'm the CEO of Swisscom, that I'm going to be able to achieve from that? >> Well I think definitely increased performance. Definitely increased efficiency of your storage with things like compression and snapshots. Now, if you're able to compress that data, get more out of your system-- >> But what kind of like, in terms of TCL. How am I going to be able to reduce. >> Oh, well. >> What are the factors of-- (grunts loudly) >> You know, we haven't run the numbers yet, but you know, the fact that we already can achieve 50% TCO, it can only get better from there when we're introducing these types of features, where you're maximizing efficiency, so, we expect it to bump up a bit. We're hoping we can work with you guys to get some good numbers that come out of it. >> Excellent. So continued strengthening of those-- business outcomes is, >> Yeah, that's it. You know, making sure, >> what you're talking about. >> Makings sure that the customers that want to move to software-defined storage in their data center, are able to achieve that in the most seamless way, and be able to reap the benefits. >> Fantastic. Well Jason, thanks so much for sharing your insights what's happening, um, peanut butter and jelly. Makes me hungry. I think it's time for lunch. >> It is lunch time, yeah. >> We thank you so much for coming back-- on the Cube. >> Thanks for having me. I really appreciate it. >> And for my co-host Stu Miniman, I'm Lisa Martin you are watching the Cube live, day two of our continuing coverage from VMworld 2017. Stick around. We'll be right back after a short break. (electronic music)

>> Announcer: Live from Las Vegas, it's the Cube covering Dell EMC World 2017 brought to you by Dell EMC. >> And welcome back here to Las Vegas, we're in the Venetian, the Cube is at Dell EMC World 2017. Good afternoon or good evening if you're watching out on the East Cost or perhaps overseas. Good to have you with us as we continue our coverage here on the Cube. I am John Walls along with Keith Townsend who's the principal at CTO advisors. And we're joined by Boaz Palgi who is the vice president and GM and one of the founders of ScaleIO. Boaz, thanks for being with us here on the Cube. Good to see you. >> Yeah my pleasure. >> John: First time I think, is that correct? >> No no no it's my fourth time. >> John: Oh fourth time, first time with me, my apologies. >> It's my first time with you, yes. >> My apologies, tell me about the history a little bit. I think it really says something about the growth, the explosion and what you've seen. 14 employees back in 2013, Dell makes the purchase. Today you have 220 plus working. So obviously you've had a lot of great growth, a lot of expansion, but a lot of success. >> Yes, yes we've experienced a lot of growth not just in the number of people, but also in customers. Not just in number of customers but also in the capacity in production with customers. So today we see we have well over 300 large enterprise customers like financial institutions, telecoms, all kinds of other enterprises. Also on top of that some mid-size and even smaller customers. And what we see is that the capacity sizes of our customers have been growing over those four years as well. So if four years ago we had maybe a part of the storage estate in some of our customers, today we have quite a few large enterprises that have completely standardized their entire block storage estate on their ScaleIO. Maybe one example of that was today in the keynote opening of this event, Dan Maslowski of CitiGroup presented how they have been using ScaleIO. They're running ScaleIO on tens of petabytes today and still growing very, very fast and with a lot more capacity to be added over the next few months and years. >> So what's going on there? Why are customers with CitiGroup want, who've already made the move, but are making the move over to SDS. What's generating that kind of activity and what kind of gains do you think they're realizing from that? >> I think there are two ways to look at this. One way to look at it is that actually storage arrays were invented 25 or 30 years ago in order to work around the problem of lack of resources for CPU, for processing, for memory in the application servers. So 25, 30 years ago an application server had barely enough resources to run a single application. So if people wanted to add another application to manage the storage, etc., they had to take another server, fill it with disks and that became the storage server which is the storage array of today. But nowadays application servers obviously have ample resources in terms of CPU memory, network, bandwidth. You can put any media whether it's flash or magnetic in your servers. So you still have enough resources. That's exactly where ScaleIO comes into play. We take those little part of those resources to actually provide enterprise class, storage capabilities in a software form factor alongside the applications or the hypervisors or the databases on those same servers. So this is maybe the technology enabling the shift in the paradigm that has been happening. On the other hand when you look at what is possible today products like ScaleIO make operations of the data centers significantly easier. So if in the past you needed to have dedicated storage products that were actually islands by themselves you couldn't really inter operate between various storage products or various vendors. You needed dedicated storage teams that were specialized on that storage every few years. Storage estate would come up for refresh or their competitors would start bidding. You would start getting very expensive and intrusive data migration projects from the old storage to the new storage. All of that is something of the past when you work with soft storage like ScaleIO. >> So Boaz, let's talk about that for a little bit. WikiBond did research and determined that they called this market originally service, some people may call it hyperconversion infrastructure. But overtake traditional storage arrays in sales in the next couple of years. You talked about ease of use, let's talk about the deployment. How is ScaleIO consumed? >> We see several form factors of ScaleIO today. The most obvious one is software. Some of our customers buy ScaleIO software. They have the servers of their choice which might be Dell servers or HP, or IBM or any other server vendor out there. They build their own estate just like they used to buy servers to run their databases for Oracle or to run their operating system, the hypervisors, etc. Now they also run the storage as another application really on their servers. That's one form factor. Actually people some of our customers today downloaded software from ScaleIO from the internet, started to use it, started to grow it and then came to Dell EMC to buy the license and to grow it and to put it into production for real. >> That's a kind of strange statement you said. This is a platform that holds petabytes of storage. You're telling me customers just download it and installed it? I missed the whole sales process before the download part. That's very unusual for an EMC. >> It's unusual for EMC and especially for all of NS really in the storage space. But this is, this is a new world. So ScaleIO software is freely downloadable for testing purposes. Customers find it, download it, and we have not a small number of customers that actually came to us that way. Hey, we already use ScaleIO, we tested it. We took some servers that were lying around, we built a cluster, it works. It gives tremendous performance, it's easy to operate. We want to roll it our in production. And we're saying we need to buy the license for that. This is one form factor. The second form factor that we see are appliances. ScaleIO obviously supports the 14G servers of Dell. We are agnostic really to the underlying hardware. But this is with one of the Dell server approaches that we are supporting is to provide appliances based on 14G servers running ScaleIO together with hybervisors or like ESX or hyper VOKVM and a management software around it that we call AMS that allows customers to manage their entire stack of the server and the ScaleIO software and the hypervisor software and the firmware, etc. with single-clicks configuration, single-click upgrades, and pretty soon also a single-click deployment of machines and storage together. This is the second form factor appliances with whole management package for the entire stack really wrapped around it. The third form factor that we see are the VX Ragflex approaches. Where VCE or CSPD these days are selling entire racks including networking, compute, and ScaleIO storage. Customers can buy these racks, plug them in, and start running their applications and their environment out of the box. >> It's all about simplicity, right? I mean talking about one-click, you're talking about the accommodation of force, the new structure. So it's all about making it a lot easier at the end of the day. >> Keith: It's solving a great problem. >> Huge problem. I would say it's simplicity of management but also simplicity of operations. In the past traditional storage estates forced people to deal with storage items. Forklift upgrades from old systems to newer systems. When you have an array that's full you now need to somehow migrate data to another array. There are a lot of operational challenges with the traditional approaches that completely disappear just like that when you deploy a software like ScaleIO which completely scales across all these clusters, across all these environments, across bare metal operating systems as well as across multiple types of hypervisors. You really get one big pool if you may, of storage that well big and big pool also provides among the best performance in the industry as well. And this is because our architecture that is completely paralyzed and it makes it possible to not only aggregate capacity, but also aggregate performance across a large number of devices and nodes. >> So curious geek question. When EMC originally bought ScaleIO, Chas Thacket did what I think he called a face melting demo of using ScaleIO in AWS. Crazy stuff I don't even know, it was like a million iops or something coming out of AWS. Shows the portability of the application. Future of ScaleIO, you see a use case for ScaleIO in the cloud? >> Well, ScaleIO in many cases enables the cloud. So we see one of our main use cases is infrastructure of the servers. This is really private clouds in the enterprise or managed hosting or public clouds in telcoms or managed service provider environments. This actually represents a very significant part of our deployments. Another part of our deployments are the traditional enterprise applications like Oracle and SQL and hypervisors of the world. Then we also see deployments of the newer type of applications like (foreign words), Cassandra, all kinds of open stick implementations, etc. Also on ScaleIO. >> I hate to jump ahead but it's always interesting to talk with people such as yourself who are always kind of thinking ahead. What's the next big headache, or what's the next big problem that you'd like to tackle or you'd like to challenge that you think with a more polished or more defined storage capability would solve whatever that dilemma might be that emerging for the enterprise? >> I think the first hurdle we need to pass is just the challenge for most industry veterans in particular to make this shift from they're built like a tank traditional storage arrays that you can touch and see to software that has a connotation, or a perception of it's just software I can't touch it, I can't see it, how can it be robust? How can it be performance? How can I operate it in an easy manner? As a matter of fact, all of those topics are better with a ScaleIO software than with traditional enterprise arrays. We've built some of them in the past. But in ScaleIO you get the most advanced benefits in terms of operational ease, elasticity, scalability, performance, flexibility of deployment, readiness for the future. Agnosticity to the underlying hardware, underlying media. So this really makes the data center a lot easier to be operated, and also a lot lower cost because you eliminate a lot of the complexity. You eliminate a lot of the smaller vendors that only deliver a small part of your hardware state because now you as a customer can really leverage everything on your X-86 hardware. This is commodity par excellence. You can go out there, you can get server vendors to bid for the hardware state that you want to run. And on that estate you can run your applications, your databases, your ScaleIO software, whatever you need. >> So you're telling them you can touch it, or you don't have to touch it, you don't have to feel it. Trust me, it's real right? >> Don't trust me, try it. >> Boaz, thanks for being with us. We appreciate the time here on the Cube and great seeing you. Again four time around you're about to join the five-time alumni club so congratulations on that. >> Can I by the way tell you a little bit about the version, the new version? Maybe very quickly end of this year we're releasing a version, a new version of ScaleIO, ScaleIO Next. The main items there are we are delivering space efficiency, but we provide it in a dynamic manner. So one of the big downsides of putting space efficiency in storage systems is that it usually hits performance quite significantly especially if the data is not too compressible. In ScaleIO we will dynamically compress data based on the compressibility of the data. So if data is not compressible we won't waste resources trying to compress it. If data is very compressible we will use more resources but we will also compress it and we will be able to do that with a very little, very small degradation of performance compared to the non-compressed environment. That's one, two we introduce volume migration in a non-disruptive manner enabling customers to move volumes from flesh-only to magnetic-only to hybrid environments on the fly without any disruption to the ongoing applications. We introduced a spot for vevos in order to be able to run all the ScaleIO capabilities, ScaleIO volume capabilities on a virtual machine granularity level in ESX. And we are also introducing the next level of the AMS management software which is the wrapper around the server with ScaleIO software appliance bundles that enables you to manage the entire stack. >> And timing again? >> End of this year, end of '17. >> Good deal, you've got a full plate, don't you? >> We do, we do. >> Very good well done, thank you again and sorry about that. I knew you had news you wanted to get in, I'm glad you did. >> Thank you for the opportunity. >> You bet, all right back with more on the Cube here from Dell EMC World 2017 right after this.

hi from Las Vegas Nevada it's the cube covering IBM world of Watson 2016 brought to you by IBM now here are your hosts John Fourier as Dave Volante hey welcome back everyone we are here live at the Mandalay Bay at the IBM world of Watson this is Silicon angles cube our flagship program we go out to the events and extract the signal from the noise I'm John Fourier with my co-host Dave allanté for the two days of wall-to-wall coverage our next guest is michelle fools so who's the chief marketing officer for IBM knew the company fairly new within the past year yes welcome to the queue last month I think you check all these new hires a lot of new blood coming inside me but this is a theme we heard from Staples to be agile to be fast you're new what's what's your impressions and what's your mandate for the branding the IBM strong brand but yes what's the future look well look I'm I'm thrilled to be here and I'm thrilled to be here because this is an extraordinary company that makes real difference in the world right and that I think you feel it here at the world of Watson in the sort of everyday ways that Watson and IBM touches consumers such as end-users makes their health better you know allows them to have greater experiences so so that's incredible to be part of my kind of company having said that and exactly to your point it's a time of acceleration and change for everyone in IBM is not immune to that and so my mandate here in my remit here and coming in and being a huge fan of what IBM has to say well how do we sharpen our messaging how do we always feel like a challenger brand you know how do we think about what Watson can do for people what the cloud can do what our services business can do and how is that distinctive and differentiated from everybody else out there and I think we have an incredible amount of assets to play with that's got to be through the line you know it's no longer the case that we can have a message on TV and that you know attracts the world the digital experiences are having every single day when they're clicking through on an ad when they're chatting with somebody when their car call center when they have a sales interaction is that differentiated message that brand resident all the way through second thing is marketing's become much more of a science you know and that to me is super exciting I've been a CEO most of my career and you know that the notion that marketing has to drive revenue that marketing has to drive retention and loyalty and expansion that we can come to the table with much more science in terms of what things are most effective in making sure that more clients love us more deeply for longer I'm gonna ask you the question because we had we've had many conversations with Kevin he was just here he was on last year Bob Lord the new chief digital officer we talked to your customers kind of the proof points in today's market is about transparency and if you're not a digital company how could you expect customers to to work with them so this has been a big theme for IBM you guys are hyper focused on being a digital company yes yes and how does it affect the brand a brand contract with the users what's your thoughts on that well first of all Bob Lord is awesome we've known each other for 10 years so it's so wonderful to be working with him again and Dave Kenny as well I think that the at the end of the day consumers have experiences and and you know think of every business you know out there as a consumer and they're having experiences all the time their expectations are being shaped by the fact that they go on Amazon and get prime delivery right their expectations are being shaped by they can go on Netflix and get you know personalized recommendations for them or Spotify and so our job of course and we have some of the greatest technical minds in the world it's to make sure that every experience lines up with the highest of their expectations and so much of that is digital and so my passion my background is entirely in the digital space I have a CEO of Travelocity and then CEO of gilt chief marketing a digital officer at Citigroup so the notion that you know the world's greatest digital experiences is something I'm very passionate about you mentioned Zelda so big TV ads and you think of the smarter planet which was so effective but it was a big TV campaign so you do what's the what's the sort of strategy that you're envisioning is in sort of digital breadcrumbs maybe you could talk about deadly yeah well think about Watson it's a perfect place to think about the Watson branding what does Watson really mean right Watson is and Ginni has said this so well of course it's cognitive and but at the end of the day it's about helping people make better decisions and so you can do some advertising with Watson and Bob Dylan and Watson and you know the young young girl with Serena and and you can get that messaging high but then you've got to bring it all the way through so that's why it's something like this is so powerful to see Woodside up their alley or all these companies talking about staples how they are using Watson embedded in their processes their tools to make their end-users experiences better and how nobody else could do this for them the way Watson's doing it that's taking a brand on high and advertising message on high and delivering value for businesses for patients for consumers all the way through that's what we have to do I got to ask you about that ad advertising trends I so we all see ad blocker in the news digital is a completely different new infrastructure expanded dynamic with social what not you can talk about Bob and I were talking last night about it too you Trevor you know banner ads are all out there impression base and then coded URLs to a landing page email marketing not gonna go away anytime soon but it's changing rapidly we have now new channels yeah what's your thoughts because this is now a new kind of ROI equation is there any thoughts on how you look at that and is it going to integrate into the top level campaigns how are you looking at the new digital that the cutting-edge digital stuff huge amounts of thoughts on this topic so I think you know if you think back 15 20 years ago there were always something called market mix modelling which helps advertisers and marketers to understand the effectiveness of their TV campaigns and frankly not too dissimilar from Nielsen you know there were so there was art and science at best in it and then all of a sudden the digital world evolved and you could get at a tactical level very very clear about attribution and whether you drove something and the challenge for us now is much more sophisticated models that are multi-touch attribution because the reality is an average consumer doesn't do one thing or have one interaction with a brand they're gonna see a TV show and watch a commercial while they're watching that commercial that business user or that end consumer is on their iPad or on their phone they're seeing a digital ad the next day at work they're being retargeted because they were aughts company they search for something they see a search campaign our job is to connect those dots and understand what really moves that consumer that business user to take an action and there are many sophisticated multi-touch attribution models where you model you know a standard set of behaviors and you test correlations against a bunch of different behaviors so you understand of what I did all the money I spent what really drove impact and by cohort I think that's the other credit there's no more the sense of sort of aggregated everything you really have to break it out yeah I didn't space my cohort to see what moves me and improve that experience right which has been you you get the example in the day of the Hilton retirees you already know that the retard the hotel was full so so obviously Watson plays a role in them Satyam plays a role in that so it's all about data it's all about you know that's where I think Watson can be extraordinarily helpful so if you think about the tool as a marketer has they're becoming more and more sophisticated and retargeting with something out of 10 years ago whenever was introduced that helped all of us a little bit and getting that message but it is only as good as the API is behind it and the the experience behind it when now when I was at gilt I was CEO of gilt we would put over a thousand products on sale every day that would be sold out by the next day sales down this 24-hour flash sale we had to get really really good at knowing how to how to retarget because last thing you want is to retarget something that sold out right or gone the next day and understand the user that was in and out and they're coming back and of course in that cohort that's where Watson to me is very exciting and you probably saw this in some of the demos of where Watson can help marketers you know where Watson can can really understand what are the drivers of behavior and what is likely to drive the highest purpose why were you so successful at guild and and how are the challenges different years because there's a sort of relatively more narrow community or city group to I was called the chief marketing and digital officer at Citigroup and and you know a tremendous budget and a lot of transactions you have to drive every day a lot of people you want to open credit cards and bank accounts so around the world I think that the the relentless focus on on marketing being art and science you know art and science and I think that's you know that passion for analytics passion for measurement having been CEO that passion for being able to say this is what we're doing and this is what we're driving so you've been kind of a data geek in your career you mentioned the financial services you can't to measure everything but back to the ad question you know the old saying used to be wasting half my advertise I just don't know which half yeah and my archives is wasted but now for the first time in the history of business in the modern era you measure everything online that's right so does that change your view and the prism of how you look at the business cuz you mentioned multi-touch yeah so now does that change the accountability for the suppliers I mean at agencies doing the big campaign I think it changes the game for all of us and there's no destination this is every day you can get better at optimizing your budget and and I would be the first to tell you as much of a sort of engineering and data geek because I've always been and deep-fried in the reality is there is art even in those attribution models what look back windows you choose etc that you know you're making decisions as a company but once you make those decisions you can start arraying all of your campaigns and saying what really moved the needle what was the most effective it's not an indictment that say what are we can do differently tomorrow you know the best marketers are always optimizing they're always figuring out at what point in the final can we get better tomorrow well in answer about talent because that's one of the things that we always talk about and also get your thoughts on Women in Technology scheme we were just at Grace Hopper last week and we started to fellowship called the tech truth and we're doing it's real passion area for us we have a site up QP 65 net / women in tech all women interviews we're really trying it the word out but this is now a big issue because now it's not stem anymore it's team arts is in there and we were also talking to the virtual reality augmented reality user experience is now potentially going to come into the immersion students and there's not enough artists yeah so you starting to see a combination of new discipline talents that are needed in the professions as well as the role of women in technology yeah your thoughts on that because this isn't you've been very successful what's your view on that at what's your thoughts about thank you for what you're doing right it takes a lot of people up there saying that this is important to make a difference so most of all thank you you know I think that this this is obviously a place I've been passion about forever I remember being a and being pregnant and that becoming this huge you know issue a news story and you're trying to juggle it right and how could a woman CEO be pregnant so it's so funny how people ridiculous took attention but but I think that the point is that the the advantage as a company has when there are great women in engineering and great women in data science and great women and user experience and design are just palpable they're probable in a variety of ways right when the team thinks differently the team is more creative the team is more open to new ideas the output for the customers are better right I mean they just saw a snapchat today just announced that in 2013 70% of their users were women so all the early adopters were women you know now it's balance but the early the early crowd were women and so we have got to figure out how to break some of the minds now I'm incredibly encouraged though while we still have a long way to go the numbers would suggest that we're having the conversation more and more and women are starting to see other women like them that they want to be it's a global narrative which is good why we're putting some journalists on there and funding it as and just as a fellowship because this it's a global story yeah okay and the power women I mean it's like there are real coders and this real talent coming in and the big theme that came out of that was is that 50% of the consumers of product are women's but therefore they should have some women features and related some vibe in there not just a male software driven concept well and should too when a powerful individual male individual like Satya steps in it and and you know understands what the mistaken and someone like refer to his speech two years ago where he said that you should just bad karma don't speak up and opening up transparency he got some heat yeah but that talk as you probably know but my opinion it's it's it's a positive step when an individual like that it was powerful and opening transparency within their company yeah that's it is that great networking I host a core I've been doing this for a year years with a good friend of mine Susan line from AOL we host a quarterly breakfast for women in tech every every quarter in New York City and we've been doing it for a long time it's amazing when those women come together the conversations we have the discussions we have how to help each other and support each other and so that's that's a real passion we were lost in a few weeks ago for the data science summit which Babu Chiana was hosting in and one of the folks was hosting the data divas breakfast we a couple there were a couple day two dudes who walked in and it was interesting yeah the perspectives 25 percent of the women or the chief data officer were women mm-hmm which was an interesting discussion as well so great 1,000 men at 15 you know as you see that techno but it's certainly changing when I get back to the mentoring thing because one of the things that we're all so passionate about is you've been a pioneer okay so now there's now an onboarding of new talent new personas new professions are being developed because we're seeing a new type of developer we're seeing new types of I would say artists becoming either CG so there's new tech careers that weren't around and a lot of the new jobs that are going to be coming online haven't even been invented yet right so you see cognition and what cognitive is enabling is a new application of skills yep can your thoughts on that because this is an onboarding opportunity so this could change the the number of percentage of women is diverse when you think about what I mean it's clear your notion of steam right your notion of stem that is a male and female phenomena and that is what this country needs it's what this world needs more of and so there's a policy and education obligation and all of us have to the next generation to say let's make sure we're doing right by them in terms of education and job opportunities when you think about onboarding I mean to me that the biggest thing about onboarding is the world is so much more interconnected than it used to be if you're a marketer it's not just art or science you have to do both it's a right brain left brain connectivity and I think 1020 years ago you could grow up in a discipline that was functional and maybe siloed and maybe you were great at left brain or great at right brain and the world demands so much more it's a faster pace it's an accelerated pace and the interconnection is critical and I've one of the things we're doing is we're putting together these diamond teams and I think it's going to really help lead the industry diamond teams are when you have on every small agile marketing team and analytics head a product marketing had a portfolio marketing had a design or a social expert these small pods that work on campaigns gone are the days that you could say designer designs it product comes up with the concept then it goes so it's design team then it goes to a production team then it goes to an analytics team we're forcing this issue by putting these teams together and saying you work together every day you'll get a good sense of where the specialty is and how you learn how to make your own discipline better because you've got the analytics person asked a question about media buying and media planning advertising as we're seeing this new real-time wet web yeah world mobile world go out the old days of planned media buyers placed the advertisement was a pacing item for execution yep now things you mentioned in the guild flash sales so now you're seeing new everyday flash opportunities to glob on to an opportunity to be engagement yeah and create a campaign on the fly yes and a vision of you guys I mean do you see that and does it change the cadence of how you guys do your execution of course of course that's one of the reasons we're moving to this diamond team and agile I think agile will ultimately be as impactful to marketing as it was to engineering and development and so I think the of course and that has to start with great modeling and great attribution because you have to know where things are performing so that you can iterate all the time I mean I believe in a world where you don't have marketing budgets and I know that sounds insane but I believe in a world where you set target and ranges on what you think you're gonna spend at the beginning of the year and every week like an accordion you're optimizing spend shipping code you've been marketing you should be doing like code so much of marketing is its episodic you boom and then it dies in a moment it's gone to the next one and you're talking about something that's I love that you know the personas to your point are much more fluid as well you got Millennials just creating their own vocations yes well this is where I think consumer companies have led the path and you know if you think about a lot of b2b companies we've had this aggregated CIO type buyer and now we've got to get much more sophisticated about what does the developer want you know what's important to the developer the messaging the tools the capabilities the user experience what about the marketer you know what the person in financial services and so both industry and professional discipline and you know schooling now with Watson you don't have to guess what they want you can actually just ask them yeah well you can actually the huge advantage you got you observe the observation space is now addressable right so you pull that in and say and that's super important even the stereotype of the persona is changing you've been saying all week that the developer is increasingly becoming business oriented maybe they don't they want they don't want to go back and get their MBA but they want to learn about capex versus op X and that's relevant to them and they to be a revolutionary you have to understand the impact right and and and they want to ship code they want to change the world I mean that is every engineering team I've ever worked at the time only worked with I mean I've been as close to engineering as from day one of the internet or early on in the internet great engineers are revolutionaries they want to change the world and they change the world they want to have a broader and broader understanding of what levers are at their disposal and I will say that I you know and I am one of the reasons I came to yam is I am passionate about this point technology cannot be in the hands of a few companies on the west coast who are trying to control and dominate the experience technology has to exist for all those amazing developers everywhere in the world who will make a difference to end user this is IBM strategy you actually have a big presence on the west coast also in Germany so you guys are going to where the action centers ours but not trying to just be so Malory point is what exactly because my point is IBM has always been there for making businesses stronger and better we don't monetize their data that's not our thing our thing is to use our cloud our cognitive capabilities and Watson to make actual businesses better so that ultimately consumers have better health care and better results I know you're new on the job silence this is not a trick question just kind of a more conversational as you talk to Bob lower Bob Chiana Jeanne yeah what's the promise of the brand and you used to be back in the days when you know Bob piano we talk about when we I worked at IBM in the 80s co-op student and it was you'll never get fired for buying IBM mainframe the kind of concept but it's evolved and I'll see we see a smarter plan what's the brand promise now you guys talk about what's the brainstorm on its head I think that I think the greatest innovators the world the most passionate business leaders of tomorrow come to IBM to make the world better and I I believe this is a brand for the forward the forward lookers the risk takers the you know the makers I think that you come to IBM because there's extraordinary assets and industry knowledge real humans real relationships that we exist to make your business better not our business will be a vibrato be exist to make your business better that has always been where IBM has been strong you know it's interesting that brings up a good point and just riffing on that Dave and I were just observing you know at the Grace Hopper with our tech truth mentorship which is promoting the intersection of Technology and social justice you're seeing that mission of Technology business value and social justice as an integral part of strategies because now the consumer access the consumerization of business yeah software based is now part of that feedback you're not doing good Millennials demand it I mean Millennials now when you look at the research in the next generation high Millennials are very very you know they want to know what are you doing for the world I mean who could do a 60 minute show besides IBM who could have who could be on 60 minutes changing cancer changing cancer outcomes for people beside IBM that that is an extraordinary testament to what the brand is and how it comes to life every day and that's important for Millennials we had Mary click-clack Clinton yesterday she is so impressive we're talking about how though these ozone layer is getting smaller these are us problems it can be solved they have to be so climate change can be solved so the whole getting the data and she's weather compass oh she's got a visit view on that is interesting her point is if we know what the problems are we as a community global society could actually solve them completely and it's an you know the more we make this a political and we say here is a problem and we have the data and we have the tools we have the people and capabilities to solve it that is where IBM Stan's tallest well I think with Watson use its focused on some big hairy problems to start with and now you're knocking off some some of the you know maybe more mundane but obviously significant to a marketer incredible that a company can start with the hardest most complicated problems the world has and actually make a difference my final question when I asked Mary this yesterday and she kind of talked about if she could have the magic Watson algorithm to just do something magical her and what would it be and she said I'll send Watson to the archives of all the weather data going back to World War two just compile it all and bring it back or addressability so the question is if you could have a Magic Watson algorithm for your chief marketing officer job what would you assign it to do like what would it be it's like first task well first of all reaction of course I'm a mom of six year olds an eight year old and so I want Watson to optimize my time no but a chief marketing officer I mean I think it really does go back to getting Watson's help in understanding how we use a dollar better how we use a dollar smarter how we affect more customers and and and connect connects with more customers in the way we you know we communicate the way we engage the way we've put our programs out that would be extraordinary and that's possible that's becoming more and more possible you know bringing science into the art of marketing I think will have great impact on what we're doing in also just the world I mean nobody wants to have you know maybe targeted ten times for something that's sold out well we asked one more time here so I got some more couple of questions because it's not getting the hook yet I gotta ask you see you mentioned Travelocity you know the web you've been through the web 1.2.0 yeah yeah so on so URLs and managing URLs was a great tracking mechanism from the old impressions weren't working and go to call to action get that look right there but now we different where that world is kind of like become critical infrastructure for managing technology since you're kind of geeking out with us here what's your view of the API economy because now apps don't use URLs they use tokens they use api's they use new push notification based stuff what sure how does api's change the marketing opportunities both right it's clearly changes the engineering environment and sort of opens up the world of possibilities in terms of who you partner with and how etc and I think it changes the marketing world too and entirely right you think about the API economy and the access you have to new ways of doing business new potential partnerships new ways of understanding data you know that that is absolutely you know at the fore of a lot of our thinking it might change the agency relationships to if they got to be more technical in changing as much as fast as companies are and they have to you know they are an extension they're your best you should be able to look in a room of agency and your team and not know who is who when you can tell who is who you have a problem and so agencies themselves have to become you know way more scientific harder-hitting faster pace and outcomes orient and somebody sees now are saying you know what pay me on outcomes I love that I love that mode to say we're in the boat with you pay me on outcome and the big s eyes are right there - absolutely yes Michele Palooza new chief marketing officer at IBM changing the game bring in some great mojo to IBM they're lucky to have you great conversations and thanks for coming on the cube live at Mandalay Bay this is silicon angles the cube I'm John four with Dave Volante be right back with more after this short break

(upbeat music) >> Hey welcome back to VMWorld 2013. This is theCUBE, flagship program. We go out to the events to extract the signal from the noise. I'm John Furrier, the founder of SiliconANGLE. I'm joined with David Vilante, my co-host from Wikibon.org and we're kicking off today with an awesome interview. CEO of VMWare, Pat Gelsinger, CUBE Alumni. Been on the theCUBE with Dave and I multiple times. So many times. You are in like the leaderboards. So in terms of overall guest frequency, you've been up there, but also you're also the top dog at VMWare and great to see you again. How are you feeling? >> Thank you, thank you. Good morning, guys. >> Pleasure. >> Good to see you. >> So what's new? I mean obviously you're running the show here. You're running around. Last night you were at the NetApp event. You ran through CIO, R&D. You got to go out and touch all the bases out here. >> Yeah, yeah. >> What does that look like? What have you done and obviously, you did, the key note was awesome. What else is going on? >> You know, everything, you know, VMWorld is just, it's just overwhelming, right? I mean 23,000 people almost. I mean you know the amount of activities around that and it really has become the infrastructure event for the industry and you know, if you're anything related to infrastructure, right, what's going on, right in the enterprise side of IT, you got to be here, right? And there's parties everywhere. Every vendor has their events. Every you know, different particular technology area, a bunch of the things that we're doing, and of course to me, it's just delightful that I can go touch as many people and you know, they get excited to see the CEO. I have no idea why, but hey I get to show up. It's good. >> You've been in the industry for a long time. Obviously you've seen all the movies before and we've talked about the seas of change in the EMC world when you were there, but we had two guests on yesterday that were notable. Steve Herrod who's now a venture capitalist at Generalcatalyst and Jerry Chen who's a VC at Graylock, and we have a 10-year run here at VMWare which is esteemed by convention, but the first five years were a lot different than the last five years, and certainly, the last year you were at the helm. So what's changed in the past 24 months? A lot of stuff has certainly evolved, right? So the Nicira acquisition certainly changed up, changed everything, right? You saw software-defined data center now come into focus this year, but really, just about less than 24 months, a massive kind of change. What, how do you view all that? How do you talk to your employees and the customers about that change? >> Well you know, as we think about the software-defined data center vision, right, it is a broad comprehensive powerful vision for rearchitecting how the data center is operated, how customers take advantage of it. You know and the results and the agility and efficiency that comes from that. And obviously the Nicira acquisition is sort of the shot heard 'round the world as the really, "Okay, these guys are really serious "about making that happen." And it changes every aspect of the data center in that regard. You know and this year's VMWorld is really, I'll say, putting the beef on the bones, right? We talked about the vision, we talked about each of the four legs of it: compute, networking, storage and management of automation. So this year it's really putting the beef on the bones and the NSX announcement, putting substance behind it. The vSAN announcement, putting substance behind it. The continuing progress of management and automation. And I think everything that we've seen here in the customer conversations, the ecosystem of partner conversations are SDDC is real. Now get started. >> Can you, I think you've had some fundamental assumptions in that scenario, particularly around x86 in the service business. Essentially if I understand it, you've said that x86 will dominate that space. You're expecting status quo in the sense that it will continue to go in the cadence of you know, cores and Moore's Law curve even though we know that's changing. But that essentially will stay as is and it's the other parts, the networking and the storage piece that you're really, where you define conventions. Is that right? >> Yeah certainly we expect a continuing momentum by the x86 by Intel in that space, but as you go think about software-defined everything in the data center really is taking the power of that same core engine and applying it to these other areas because when we say software-defined networking, right, you need a very high packet flow capability and that's running a software on x86. We need to talk about data services running in software, right? You need high performance. It's snapshots, file systems, etc. running on software, no longer bound to you know physical array. So it really is taking that same power, that same formula right, and applying it to the rest of the elements of the data center and yeah, we're betting big right, that that engine will continue and that we'll be successful in being able to deliver that value in this software layer running on that core powerful Silicon engine. >> So Pat, so obviously when you came on board, the first thing you did was say, "Hey, the pricing. "I want to change some things." Hyper-Visor's always been kind of this debate. Everyone always debates about what to do with Hyper-Visor. But still, virtualization's still the enabling technology so you know, you kind of had this point where the ball's moving down the field and all of a sudden, in 2012, it changed significantly, and that was a lot in part with your vision with infrastructure. As infrastructure gets commoditized, what is going to change in the IT infrastructure and for service providers, and the value chains that's going to be disrupted? Obviously economics are changing. What specifically is virtualization going to do next with software defined that's going to be enabling that technology? >> Yeah, you know and I, you know, we're not out to commoditize. We're out to enable innovation. We're out to enable agility, right, and then the course of that, it changes what you expect and what the underlying hardware does. But you know, it's enabling that ecosystem of innovation is what we're about and customers to get value from that and as you go look at these new areas, "Hey, you know, we're changing how you do networking." Right, all of a sudden, we're going to create a virtual network overlay that has all of these services associated with it that are proficient just like VMs in seconds. We're creating a new layer of how storage is going to be enabled. You know, this policy-driven capability. Taking those capabilities that before were tightly bound to hardware, delivering it through the software layer, enabling this new magnificent level of automation and yesterday's demo with Carl. I mean Carl does a great CTO impersonation, doesn't he? And he's getting some celebrity action. He's like, "I got the bottle." >> Oh yeah. >> Steve Herrod gave him a thumbs up too. >> Yes, yeah Steve gave him a good job. But you know, so all of those pieces coming together, right, is you know, really, and you know, just the customer and the ecosystem response here at the show has been, "Oh, you know, right, "SDDC, it's not some crazy thing out there in the future. "This is something I can start realizing value for now." >> Well it's coming into focus. It's not 100% clear for a lot of the customers because they're still getting into the cloud and the hybrid cloud, I call it the halfway house to kind of a fully evolved IT environment, but you know. How do you define? >> No it is the endgame. Hyper cloud is not a halfway house. What are you talking about? What are you talking about? >> To to full all-utility computing. That is ultimately what we're saying. >> Halfway house? >> I don't mean it that way. (group laughs) >> Help me. >> Okay next question. >> (chuckles) When you're in a hole, stop digging, buddy. >> So how do you define the total adjusted mark at 50 billion that Carl talked about? >> Yeah you know, as we looked at that, we said across the three things, right that we said, software-defined data center, 28 billion dollars; hyper cloud, 14 billion; eight billion for the end-user computing; that's just 50 billion opportunity. But even there, I think that dramatically understates the market opportunity. IT overall is $1.7 trillion, right? The communications, the services, outsourcing, etc. And actually the piece that we're talking about is really the underpinnings for a much larger set of impact in the part of what applications are going to be developed, how services are delivered, how consumers and businesses are able to take advantage of IT. So yes, that's the $50 billion. We'll give you the math, we'll show you all the details of Gartner's and IDC's to support it. But to us, the vision and the impact that we're out for is far more dramatic than that would even imply. >> Well that's good news because we said to Carl, "It's good that your market cap is bigger than--" (Pat laughs) >> Oh yeah your TAM is bigger than your market cap. Well okay now we-- >> Yeah, that's nice, yeah. Yeah, we're out to fix the market cap. >> Yeah he said, "Now we got to get the 50 billion. So I'm glad to hear there's upside to the TAM. But I wanted to ask you about the ecosystem conversation. When you talk about getting things like you know, software defined network and software defined source, what's the discourse like in ecosystem? For guys like, let's take the storage side. EMC, NetApp last night, they say, "Hey you know, software defined storage. "We really like that, but we want to be in that business." so what, talk about that discussion. >> Yeah, clearly every piece of software defined, whether it's software defined storage, software defined data services, software defined security services or networking, every piece of that has ecosystem implications along the way. But if you go talk to a NetApp or a EMC, they'd say, "You're an appliance vendor." And they would quickly respond and say, "No, our value's in software, "and we happen to deliver it as an appliance." And we'd say, "Great, let's start delivering "the software value as a software appliance "through virtualization and through the software delivery "mechanisms that we're talking about for this new platform." Now each one of them has to adjust their product strategies, their, you know, business strategies to enable those software components, right, independent of their hardware elements for full execution and embodiment into the software-defined data center feature. But for the most part, every one of them is saying, "Yes, now how do we figure out how to get there, "and how do we decompose our value, embody it it in new ways "and how can we enable that in "this new software-defined data center vision?" >> And they've always done that with software companies. I mean certainly Microsoft and Oracle have always grabbed a piece of the storage stack and put it into their own, but it's been very narrow, within their own spaces, and of course, VMWare is running any application anywhere. So it's more of a general purpose platform. >> Absolutely. >> Is it a tricker fit for the ecosystem to figure out where that white space is? >> Absolutely. Every one of them has to figure out their strategy. If you're F5, you know, I was with John McAdam this morning. "Okay, how do I take my value?" And you would very quickly say, "Hey, our value's in software. "We deliver it as mostly as appliances, "but how do we shift, you know, your checkpoint?" Okay, you know, they're already, right, you know, our largest software value or Riverbed, you know, the various software vendors and security as well. Each one of them are having to rethink their strategies and the context of software define. Our customers are saying, "Wow, this is powerful. "The agility and the benefits that I get from it, "they're driving them to go there." >> So what's the key to giving them confidence? Is it transparency? You're sharing roadmaps during integration? >> Yes, yes, yes. >> Anything else? Am I missing anything there? >> You know, also how we work with them and go to market as well. You know, they're expecting from us that, okay, "you know, if this is one of our accounts, "come in and work with us on those accounts as well." So we do have to be transparent. We have to the APIs and enable them to do integration. We have to work with them in terms of enabling their innovation and the context of this platform that we're building. But as we work along the way, we're getting good responses to that. >> Pat, how do you look at the application market? Now with end-user computing, you guys are picking that up. You got Sanjay Poonen coming in and obviously mobile and cloud, we talked about this before on theCUBE, but core IT has always been enabling kind of the infrastructure and then you get what you get from what you have in IT. Now the shift is, application is coming from outside IT. Business units and outside from partners, whether they're resellers. How do you view that tsunami of apps coming in that need infrastructure on demand or horizontally scalable at will? >> Yeah so first point is, yes, right, we do see that, you know, as infrastructure becomes more agile and more self provisioned, right, more aligned to the requirements of applications, we do see that it becomes a tsunami of new applications. We're also working very hard to enable IT to be the friend of the line of business. No longer seen as a barrier, but really seen as a friend, partner enabler of what they're trying to do because many of the, you know, line of businesses have been finding way. You know, how do I get around the slow-moving IT? Well we want to make IT fast-moving and enabling to meet their security, governance, SLA requirements while they're also enabling these powerful new applications to emerge and that to us is what infrastructure is all about for the future is enabling, you know, businesses to move at the speed of business and not have infrastructure being a limiter and as we're doing things, you know, like the big data announcements that we did, enabling infrastructure that's more agility, you see us do more things in the AppDev area over time, and enabling the management tools to integrate more effectively to those environments. Self-service portals that are enabling that and obviously with guys like Sanjay in our mobile initiative, yeah that's a big step up. Don't you like Sanjay? He's a great addition to the team. >> Yeah Sanjay's awesome. He's been great and he has done a lot on the mobile side. Obviously that is something that the end users want. >> That's an interesting way that I put him into that business group first. (group chuckles) >> Well on the Flash side, so under the hood, right? So we look under the hood. You got big data on the dashboard. Everyone's driving this car to the new future of IT. Under the hood, you got Flash. That's changing storage a bit and certainly reconfiguring what a DaaS is and NaaS and SaaS and obviously you talked about vSAN in your key note. What is happening, in your vision, with compute? I mean obviously as you have more and more apps hitting IT, coming in outside core IT but having to be managed by core IT, does that change the computing paradigm? Does it make it more distributed, more software? I mean how do you look at that 'cause that's changing the configuration of say the compute architecture. >> Sure and I mean a couple of things, if you think about the show here that we've done, two of them in particular in this space, one is vSAN, right? A vSAN is creating converged infrastructure that includes storage. Why do you do that? Well now you have storage, you know, apps are about data, right? Apps need data to operate on so now we've created an integrated storage tier that essentially presents an integrated application environment in converged infrastructure. That changes the game. We talked about the Hadoop extension. It changes how you think about these big data applications. Also the Cloud Foundry announcement. Right on/off premise of PaaS layer to uniquely enable applications and as they've done that on the PaaS layer, boy, you don't have to think about the infrastructure requirements to deploy that on or off premise or increasingly as I forecast for the future, hybrid applications, born in the hybrid, not born in the cloud, but born in the hybrid cloud applications that truly put the stuff that belongs on premise on premise, puts the stuff that belongs on the cloud in the cloud, right and enables them to fundamentally work together in a secure operational manner. >> So the apps are dictating through the infrastructure basically on demand resources, and essentially combine all that. >> Absolutely. Right. The infrastructure says, "Here's the services "that I have already, right, in catalogs "that you can immediately take advantage of, "and if this, you fit inside "of these catalogs, you're done." It's self-provisions from that point on and we've automated the operations and everything to go against that. >> So that concept of "born in the hybrid" is a good one. So obviously that's your sweet spot. You're going from a position. >> Yeah and this stupid halfway house hybrid comment. I mean I've never heard something so idiotic before. >> One person, yeah. (group chuckles) >> I don't know, it was probably an Andreessen comment or something, I don't know. (group chuckles) >> He's done good for himself, Marc Andreessen. >> Google and Amazon are obviously going to have a harder time with that, you know, born in the hybrid. What about Microsoft? They got a good shot at born in the hybrid, don't they? >> Yeah, you know and I think I've said the four companies that I think have a real shot to be you know, very large significant players for public cloud infrastructure services. You know, clearly Amazon, you know Google, they have a large, substantive very creative company. Yeah Microsoft, they have a large position. Azure, what they've done with Hyper-V and ourselves, and I think that those, you know the two that sort of have the natural assets to participate in the hybrid space are us and Microsoft at that level, and obviously you know we think we have lots of advantages versus Microsoft. We think we're miles ahead of them and SDDC, right, we think the seamlessness and the compatibility that we're building with one software stack, not two. It's not Azure and Hyper-V. It is SDDC in the cloud and on premise that that gives us significant advantages and then we're going to build these value rate of services on top of it, you know, as we announced with Desktop as a Service, Cloud Foundry as a Service, DR as a service. We're going to quickly build that stack of capabilities. That just gives substantial value to enterprise customers. >> So I got to ask you, talk about hybrid since you brought it up again. So software defined data center software. So what happens to the data center, the actual physical data center? You mentioned about the museum. I mean what is it going to look like? I mean right now there's still power and cooling. You're going to have utility competing with cloud resources on demand. People are still going to run data centers. >> You're talking about the facility? >> Yeah, the actual facility. I'm still going to have servers. This will be an on premise. Do you see that, how do you see that phasing out to hybrid? What does that look like physically for someone to manage? Just to get power, facility management, all that stuff. >> Yeah and in many ways, I think here, the you know, the cloud guys, Googles and Amazons and Yahoos and Facebooks have actually led the way in doing some pretty creative work. These things become you know, highly standardized, highly modularized, highly scalable, you know, very few number of admins per server ratio. As we go forward, these become very automated factories, right, of cloud execution. Some of those will be on premise. Some of those will be off premise. But for the most part, they'll look the same, right, in how they operate and our vision for software defined data center is that software layer is taking away the complexity, right, of what operates underneath it. You know, they'll be standardized, they'll be modularized. You plug in power, you plug in cooling, you plug in network, right, and these things will operate. >> Basically efficient down to the bone. >> Yeah. >> Fully operated software. >> Yeah and you know, people will decide what they put in their private cloud, you know, based on business requirements. SLAs, you know, privacy requirements, data governance requirements, right? I mean in Europe, got to be on premise in these locations and then they'll say, "Put stuff in the public cloud "that allows me to burst effectively. "Maybe a DR because I don't do that real well. Or these applications that belongs in the cloud, right because it's distributive in nature, but keep the data on premise. You know, and really treat it as a menu of options to optimize the business requirements between capex to opex, regulatory requirements, scale requirements, expertise, mission critical and all of those things then are delivered by a sustainable position. Not some stupid hybrid halfway house. A sustainable position that optimizes against the business requirements that they have. >> Let me take one of those points, SLA. Everybody likes to attack Amazon and its SLAs, but in many regards. >> Yeah, I'm glad I got your attention. >> Yeah, that's good, we're going to come back to that John. (group chuckles) >> In my head right now. >> I don't think we're done with that talk track. (laughs) So it's easy to attack Amazon and SLAs, but in essence, the SLA is, to the degree of risk that you're willing to take and put on paper at scale. So how transparent will you be with your SLAs with the hybrid cloud and you know, will they exceed what Amazon and Google have been willing and HP for that matter have been willing to promise at scale? >> Oh yeah, absolutely. I mean we're going to be transparent. The SLAs will have real teeth associated with them, you know, real business consequences for lack of execution against them. You know, they will be highly transparent. You know, we're going to have true, we're going to measure these things and you know, provide uptime commitments, etc. against them. That's what an enterprise service is expected, right? At the end of the day, that's what enterprises demand, right? When you pick up the phone and need support, you get it, right. And in our, the VMWare support is legendary. I'm just delighted by the support services that we offer and the customer response to those is, "Hey you fixed my problem even when "it wasn't your problem and make it work." And that's what enterprise customers want because that's what they have to turn around and commit back to their businesses against all of the other things as well. You know, regulatory requirements, audit requirements, all of those types of things. That's what being an enterprise provider is all about. >> John wants to get that. Talk about public cloud. (Pat laughs) >> I want to talk about OpenStack because you guys are big behind OpenStack. You talk about it as a market expansion. Internally what are some of the development conversations and sales conversations with customers around OpenStack instead of status, what's it doing, how you guys are looking at that and getting involved? >> Yeah, you know, we've clearly said you know, that you have to think about OpenStack in the proper way. OpenStack is a framework for building clouds, and you know, for people who are wanting to build their own cloud as opposed to get the free package cloud, right, you know, this is our strategy to enable those APIs, to give our components to those customers to help them go build it, right and those customers, largely are service providers, internet providers who have unique scale, integration and other requirements and we're finding that it's a good market expansion opportunity for us to put our components in those areas, contribute to the open source projects where we truly have IP and can differentiate for it like at the Hyper-Visor level, like at the right networking layer and it's actually going pretty well. You know, in our Q2 earnings call, you might recall, you know, I talked about that our business with the public OpenStack customers was growing faster than the rest of our business. That's pretty significant, right, to say, "Wow, if it's growing faster, "that says the strategy is working." Right, and we are seeing a good response there and clearly we want to communicate. We're going to continue that strategy going forward. >> And the installed base of virtualization is obviously impressive and the question I want to ask you is how do you see the evolution of the IT worker? I mean they have the old model, DBA, system admins, and then now you have data science on the big data side so with software defined data center, the virtualization team seems to be the center point for that. What roles do you see changing with hybrid cloud and software defined data center and user computing? >> Well I think sort of the theme of our conference is defy convention. Right and why do we do that? Because we really see that the, you know, the virtual admin and the virtual infrastructure that they have really become the center of IT. Now we need the competence of networking, the security guys, the database guys, but that now has to happen in the context, right, of a virtualized environment. DBA doesn't get to control his unique infrastructure. The Hadoop guy doesn't get his own unique infrastructure. They're all just workloads that run on this virtualized infrastructure that is increasingly adept and adaptable, right, to these different workload areas and that's what we see going forward as we reach into these new areas and the virtual admin, he has to go make best buddies with the networking guy and say, "Let me talk to you about virtual networking "and how we're going to cross between the virtual overlay "domain and the physical domain and how these things "are going to stitch together for making your job better "right, and delivering a better solution "for our line of business and for our customers." >> One thing you did to defy convention is get on stage with Marc Andreessen. So I want to talk about that a little bit. You guys had I would call it, you know, slight disagreements and, into the future. >> Just a little. >> But I thought you were kind to him. And he said, you know, "No startup that I work with "is going to buy any servers." And I thought you were going to add, no never mind. I won't even go there. (group laughs) I won't even go there, I want to be friends. No so talk about that a little bit, that discussion that you had. Your view of the world and Marc's. How do you respond to that statement? Do they grow up into VMWare customers? Is that the obvious answer? >> I mean I have a lot of regard. You know, Marc and I have known each other for probably close to two decades now and you know, we partnered and sparred together for a long time and he's a smart, successful guy and I appreciate his opinions. You know, but he takes a very narrow view, right, of a venture seed fund, right, who is optimizing cashflow, and why would they spend capital on cashflow when they can go get it as a service? That's exactly the right thing for a very early stage startup company to do in most cases, right? Marc driving his customers to do that makes a lot of sense, but at the end of the day, right, if you want to reach into enterprise customers, you got to deliver enterprise services, right? You got to be able to scale these things. You got to be cost-effective at these things and then all the other aspects of governance, SLAs, etc. that we already talked about. So in that view, I think Marc's view is very perspective. >> Also Zynga and those guys, when they grew up on Amazon, they went right to bare metals as soon as they started scale. >> They had to bring it back in right 'cause they needed the SLAs, they needed the cost structures. They wanted to have the controls of some of those applications. >> And rental is more expensive at the end of the day. >> There you go. Somebody's got to pay the margins, right, you know, on top of that, to the providers so you know, I appreciate the perspective, but to me it is very narrow and periconchal to that point of view and I think the industry is much broader and things like policy and regulation are going to take decades, right? Not years, you know, multiple decades for these things to change and roll out to enable us a mostly public cloud world ever, right, and that's why I say I think the hybrid is not a waystation, right? It is the right balance point that gives customers flexibility to meet their business demands across the range of things and Marc and I obviously, we're quite in disagreement over that particular point. >> And John once again, Nick Carr missed the mark. We made a lot of money. >> I think Marc Andreessen wants to put a lot of money into that book. Everyone could be the next Facebook where you you know, you build your own and I think that's not a reality in enterprise. They kind of want to be like Facebook-like applications, but I wanted to ask you about automation. So we talked to a lot of customers here in theCUBE and we all asked them a question. Automation orchestration's at the top of the stack. They all want it, but they all say they have different processes and you really can't have a general purpose software approach. So Dave and I were commenting last night when we got back after the NetApp event was you know, you and Paul Murray were talking in 2010 around this hardened top when you introduced that stack and with infrastructure as a service, is there a hardened top where functionality is more important than which hardware you buy so you can enable some of those service catalogs, some of those agility features in automation because every customer will have a different process to be automated. >> Yeah. >> And how do you do that without human intervention? So where is that hardened top now? I mean is it platform as a service or is it still at the infrastructure as a service model? >> Yeah, I think clearly the line between infrastructure as a service and platform as a service will blur, right, and you know, it's not really clear where you can quite draw that line. Also as we make infrastructure more application aware, right, and have more application development services associated with it, that line will blur even more. So I think it's going to be hard to call, you know, "Here's that simple line associated with it." We'd also argue that in this world that customers, they have heterogeneous tools that they need to work with. Some will have bought in a big way into some of the legacy tools and as much as we're going to try help them move past some of those brittle environments, well that takes a long time as well. I'd also say that you know, it's the age of APIS, not UIs, and for us it's very much to expose our value through programmatic interfaces so customers truly can have the flexibility to integrate those and give them more choice even as we're trying to build a more deeply integrated and automated stack that meets a general set of needs for customers. >> So that begs the question, at the top of the stack where end user computing's going to sit and you're going to advance that piece, what's, what's the to do item for you? What needs to happen there? Is it, on a scale of one to 10, 10 being fully baked out, where is it, what are the white spaces that need to be tweaked either by partners or by VMWare? >> Yeah and I think we're pretty quickly finishing the stack with regard to the traditional PC environments and I think the amount of work to do for the mobile environment is still quite enormous as we go forward and in that, you know, we're excited about Horizon getting some good uptake, a number of partner announcements this week, but there's a lot to be done in that space because people want to be able to secure apps, provision apps, deprovision apps, have secure work spaces, social experiences, a rich range of integrations to the authentication devices associated with it to be able to have applications that are developed in that environment that access this hybrid infrastructure effectively over time, be able to self-compose those applications, put them into enterprise, right, stores and operations, be able to access this big data infrastructure. There's a whole lot of work to be done in that space and I think that'll keep us busy for quite a number of years. >> This is great. We're here with Pat Gelsinger inside theCUBE. We could keep rolling until we get to the hook, but a couple more final questions is the analogy of cloud has always been like the grid, electricity. You kind of hinted to this earlier. I mean is that a fair comparison? The electricity's kind of clean and stable. We have an actual national grid. It doesn't have bad data and hackers coming through it so is that a fair view of cloud to kind of look, talk about plugging electricity in the wall for IT. >> I think that is so trite, right? It came up in the panel we had with Andreessen, Bechtolsheim, Graeme, and myself because you know, it's so standardized. 120 volts AC right and hey you know, maybe it gets distributed as four, 440, three phase, but you know, it is so standardized. It hasn't moved. Sockets standards, right, you're done. Think how fast this cloud world is evolving. Right the line between IA as in PaaS as we just touched upon, the services that are being offered on top of it. >> Security, security. >> Yeah, yeah, all these different things. To me, it is such a trite, simple analogy that has become so used and abused in the process that I think it leads people to such wrong conclusions right, about what we're doing and the innovation that's going on here and the potential that we're going to offer. So I hope that every one of our competitors takes that and says, "That's the right model." Because I think it leads them to exactly the wrong conclusion. >> I couldn't agree more. The big switch is a big myth. I wanted to get tactical for a minute. I listened to your conference calls. I can't wait to read the transcript. I just go, I got to listen to the calls, but just observing those and the conversations around here, I just wanted to ask you. I always ask CEOs, "What keeps you up at night?" They always say execution so let's focus on execution in the next 12 to 18 months. I came up with the following. "To maintain dominance in vSphere, "get revenue beyond vSphere, "broaden end user license agreements, "increase end user computing adoption "and proof points around hybrid cloud." Are those the big ones? Did I miss anything? >> That's a good list. >> Yeah? >> That's a good list. >> So those are the things an observer should watch in let's say 12 to 18 months of indicators of success and of what you're doing and what you're driving. >> Yeah and you know, clearly inside of that, with SDDC, obviously we think this environment for networking, right, and what we've really, I'll say delivered that. That would be one in particular inside of that category that we would call out you know, with regard to our hybrid cloud strategy. It's clearly globalizing that platform. Right, we announced Savvis here, but we need to make this available on a global basis. You go to an enterprise customer and they're going to say, "I need services in Japan, I need services in Singapore. "I need to be able to operate in a global basis." So clearly having a platform, building out the services on top of it is another key aspect of building those hybrid user cases and more of the value on top of it and then in the EUC space, we touched a bit on the mobile thing already. >> So we'll have Martin on later, but his PowerPoint demonstration. >> What a rockstar, what a rockstar. >> He is a rockstar and we've had him on before. He's fantastic, but his PowerPoint demonstration is very simple, made it seem so simple. It's not going to be that easy to virtualize the network. Can you talk about the headwinds there and the challenges that you have and the things that you have to do to actually make progress there and really move the needle? >> Yeah it really sort of boils down in two aspects. One is we are suggesting that there will be a software layer for networking that is far more scalable, agile and robust than you can do in a physical networking layer. That's a pretty tall order, right? I need to be able to scale to tens, hundreds, millions of VMs, right? I need to be able to scale to terabytes of cross-sectional packet flow through this. I need to be able to deliver services on top of this, right, that truly allow firewalls, load balancers, right, IDSes, all of those things to be agile, scale. Yeah, it is ambitious. >> Ambitious. >> This is, right, the most radical, architectural statements in networking in the last 20 or 30 years and that's what gets Martin passionate. So there's a lot of technical scale and we really feel good about what we've done, right, but being able to prove that with robust scalability, right, for which like the Hyper-Visor, it is more reliable than hardware today, in being able to make that same statement about NSX that just like ESX, it is better than hardware, right, in terms of its reliability, its resilience. That's an important thing for us to accomplish technically in that space, but then the other pieces, showing customer value, right? Getting those early customers and what a powerful picture. GE, Citigroup and eBay, right? It's like wow, right? These are massive customers, right, and being able to prove the value and the use cases in the customer settings, right, and if we do those two things, you know, we think that truly we all have accomplished something very very special in the networking domain. >> Pat, talk about the innovation strategy. You've been now a year under your belt at VMWare and you were obviously with EMC and Intel and we mentioned on theCUBE many times, cadence of Moore's Law was kind of the culture of Intel. Why don't you tell us about the innovation strategy of VMWare going forward, your vision, but also talk about the culture and talk about the one thing that VMWare has from a culture that makes it unique and what is that unique feature of the VMWare culture? >> We spent time as a team talking about what is it that drives our innovation, that drives our passion, and clearly as we've talked about our values as a team, it is very much about this passion for technology and passion for customers and how those two coming together, right, with fundamental disruptive "wow" kind of technologies where people just say, like they did when they first used ESX and they say, "Wow, I just didn't ever envision "that you could possibly do that." And that's the experience that we want to deliver over and over again, right, so you know, hugely disruptive powerful software driven virtualization technologies for these domains, but doing it in a way that customers just fall in love with our technologies and you know as, I got a note from Sanjay and I just asked him, "You know, what do you think of VMWorld?" And he said, right, "It is like a cult geek fest." Right, because there's just this deep passion around what people do with our technology, right, and they're not even at that point, they're not customers, they're not partners. They are deeply aligned passionate zealots around what we are doing to make their lives so much more powerful, so much more enabled, right, and ultimately, a lot more fun. >> People say it's like being a car buff. You know, you got to know the engine, you want to know the speeds and feeds. It is a tech culture. >> Yeah, it is absolutely great. >> Pat, thanks for coming on theCUBE. We scan spend a lot of time with you. I know we went a little over. I appreciate your time. Always great to see you. >> Great to see you too. >> Looking good. >> Thank you for that. >> Tech Athlete Pat Gelsinger touching all the bases here. We saw him last night at AT&T Park. Great event here, VMWare World 2013. This is theCUBE. We'll be right back with our next guest after this short break. Pat Gelsinger, CEO on theCUBE.