>> Welcome back, everyone. We we are here live in our Palo Alto studios with theCUBE. I'm John Furrier, the host of today's special digital event, hybrid, cloud and IT analytics for digital business. This is our one-on-one segment with Umair Khan, principal product marketing manager at CA Technologies. Where we get to do a drill-down. He's got a special product, UIM. We're going to talk about unified management. Umair, great to see you. Nice shirt, looking good, same as mine. I got the cuff links. >> I know, we think alike and have the same shirt. >> Got the cloud cufflinks. >> You got to get me one of those. (laughs) >> Good to see you. >> Good to see you. >> Hey, I want to just drill down. We had the two keynote presenters, Peter Burris, we'll keep on the research perspective and then kind of, where you guys tie in with your VP of Product Management, Sudip Datta, and interesting connection. Peter laid out the future of digital business, matches perfectly with the story of CA, so interesting. More importantly, it's got to be easy, though. How are you guys doing? I want to drill down to your product, UIM. Unified management, what is that? Unified infrastructure management. What's making it so easy? So, like you said, it's unified infrastructure management. It's a single product to monitor your cloud, your on-prem, your traditional and your entire stack, be it compute layer, storage layer, application services layer. It's a single product to monitor it all, so a) you get a single view to resolve problems, and at the back end, people tend to underestimate the time it takes to configure different tools, right? Imagine a different tool for cloud, different tool for public cloud too that you use, I'm not going to name vendors. Traditional environment you have, or maybe one silo group is using hybrid infrastructure, right? So configuring those, managing those, it's tough. And having a single console to deploy monitoring configuration in the same time monitor that infrastructure makes it easy. >> You and I were talking yesterday, before we came here and were doing a dry run, about cars. >> Yeah. >> And we were talking about the Tesla is so cool compared to an older car, but it's got everything in there. It's got analytics, it's got data, but it's a car. The whole purpose is to drive. It has nothing to do with IT, yet it's got a ton of IT analytics in it. How is business related to that? Because you could almost say that the single pane of glass is analytics. It's almost like Tesla for the business. The business is the car. How do you view that, because you have an interesting perspective. I want to get your take on that. >> Absolutely. So I've seen a lot of people giving examples as well, but I think cars of today is a great example of how monitoring should be, right? Cars, yes, it's still about the look and feel and the brand, but when you're sitting in the car now you expect a unified view. You want blind spot detector, you want collision detector, everything there. Even your fuel gauge, it shouldn't tell you how much is left, it should tell you how much mileage is left, right? Everything is becoming more intelligent. And you know Peter talked about the importance of expedience in the digital business, so IT team needs that visibility, that end-to-end unified view, just like in a modern car, to avoid any blind spots and resolve issues faster, and at the same time, it has to be more proactive and predictive in nature. So that collision detection, all the car companies these days have a commercial on safety features, collision detection, and same with IT. They need to have that ability to use intelligent monitoring tools to be able to resolve issues before the customer experience suffers. And one of our customers says, if someone opened a service desk ticket, that means everyone knows about the issue. I need to be resolving that issue before the service desk ticket is issued, right? >> You don't see Tesla opening up issues, "Hey, you're on the freeway, slow down." But this is important. I mean, Tesla was disruptive because they didn't just build a car and say "bolt on analytics." They took holistic, proactive view of the car experience with technology and analytics in mind to bring that tech to the table. That's similar to the message that we heard from Peter and Sudip about analytics. It's not just a thing you bolt on anymore. You got to think about the outcome of what you're trying to do. >> Exactly. >> That really is the key. And how does that unified infrastructure management do that? >> So it's all about unifying all different, today's digital businesses are adopting a lot of technologies. Every developer has their own stacks. As an IT ops person, you don't want to be someone who says, "you cannot adopt this cloud" or, "you do not adopt this technology." You should be flexible enough to whatever stack they have. You should be able to monitor that infrastructure for them, get yourself a unified view to resolve issues faster. But at the same time, provide your dev teams the flexibility of choosing the stack they like. >> A lot of IT ops guys are impacted and energized, quite frankly, by the future that's upon us with all these opportunities, but the realities of having uptime is a for opsis key and also enabling new (mutters) like IOT. The question for you is, who is most impacted in the enterprise organization or in IT operations, by your modern analytics products and visions? >> So I think there are two groups, right? One is the traditional VP of IT infrastructure, IT operations, so he has a lot of concerns about his infrastructure is becoming more and more dynamic, more complex, clouds are being adopted, businesses talking about expedience, right? So he needs a modern approach to get that end-to-end picture and make sure there are no blame games happening between different groups, and resolve issues really proactively. And at the same time, his tool and his analytics approach need to support modern infrastructures, right? If businesses wants to adopt cloud-based technologies, he needs to be, or she needs to be, able to provide that monitoring, needs to cover that approach as well. >> Is there one that pops out that you see growing faster in terms of the persona within IT? Because we hear Sudip talk about network, which we all want the network to go faster. I mean, you can't go to to Levi's Stadium or any kind of place and people complain about wifi. My kids are like, "Dad, the network's too slow." But in IT, network's critical. But only up to the app, so it's a bigger picture than that. Is there one persona that's rising up that you see that really hones in on this message of this holistic view of looking at modern analytics? >> I think rules are changing overall in IT, right? The system admin is becoming cloud admin, or the dev ops guy, so I think it's getting more and more collaborative. Roles will be redefined, reengineered a bit to meet the needs of modern technologies, modern companies, and so on. And we're also seeing the rise of a site reliability engineer, right? Because he's more concerned about reliability versus individual component. To him an app might be bad because of the network, because of the application itself, or the infrastructure that runs it. >> Okay, what does the UIM stand for and how does that impact in the overall stack? >> So UIM is our unified, as I mentioned before, unified infrastructure management product that's the most comprehensive solution on the market. If you look at technology support from your public-private cloud-based infrastructures like Amazon, Azure, or your hyperconverge. You can also call them private cloud, like mechanics, and being variable stack, or your traditional IT as well, from your (mutters) environments or from your Cisco environments, Cisco UCS, or anything. So it really gives that comprehensive solution set, and at the same time it provides an open architecture if you wanted to monitor some technology that we don't provide support for, it allows you to monitor that. And again, because of that, people are able to resolve issues faster, they're able to improve mean time to repair, and at the same time, I'll reemphasize the configuration part, right? Imagine you have multiple tools for each silos, then you need to configure that. In a dev ops world, you have to release applications faster, but you cannot deploy an application without configuring the monitoring for it, right? But if the infrastructure monitoring guys are taking three or four days to configure monitoring, then the entire concept of dev ops falls apart. So that's where UIM helps too. It really helps ops deploy configurations a lot faster through out-of-the-box templates in a unified approach across hybrid stacks. >> And developers want infrastructure as code, that's clear as day, and now they want great analytics. Okay, so I got to ask you the use case. I got to drill down on use cases, specifically, for the folks watching, whether they're maybe a CA customer in the past or one now, or not yet a customer. Where are you winning? Where is CA actually winning right now? How would talk about the specific use cases where it's a perfect fit and where you've got beachhead and where you can go. >> No, I think the places we typically win really well is as companies become more hybrid, if they're starting up in cloud-based infrastructures, they all of a sudden realize that the monitoring approach for traditional infrastructure is really not for cloud. The more technology that (mutters), you started with cloud and you want to adopt containers, and you start adding these monitoring tools. All of a sudden you realize this approach cannot work. I'm creating more silos, I don't the internal visibility and these infrastructures are more dynamic, going up and down all the time. I need a modern tool, modern approach. So typically, when you have hybrid infrastructures, we typically win there. And I think of a large insurance company as well, where initially we started working with them, and initially they had a lot of different tools that they worked on-- >> I think we actually have a slide for this. Can you pull that up on the thing here, the slide. Before you get to the insurance company, I want to get the graphic up. There it is. So we had the global 500 company, go ahead, continue. >> So basically worked with a global 500 insurance company. They had the same kind of issue, right? A lot of different technologies being adopted, cloud being adopted by a lot of the application team, and they wanted to really scale the business, digitize the business, but they didn't want the monitoring to get in the way. Right, so they implemented UIM, and they significantly improved mean time to repair and the time they spent in monitoring tools, right? That's the biggest thing. IT while monitoring may sound cool, but it's, the IT wants to work in modern innovative stuff. They want to stare at a screen, spending time and creating scripts and monitoring. So it really gave them the ability to get you the single tool to monitor increasingly complex and hybrid infrastructure. >> So you guys also ran a survey, also validated by Tech Validate, which is a third party firm which surveys top IT folks, on the three important ITOA, IT analytics solutions, correlation of data across apps, infrastructure, and network, 78%. Full stack visibility with in-context log monitoring and analysis, 65%. Ability to scale in high volume environments. So interesting how those are the top three. Kind of speaks to the conversation Peter Burris and I had. Lot of data (laughs), okay, multiple stack issues, so you're talking about a holistic view. What's the importance of these top three trends? >> I think a lot of companies miss out when they only monitor a silo, right? Even when I talk about our unified product, it's unified infrastructure. Even within infrastructure, there's so many components. You have to unify them, and that's the UIM work. But as Sudip mentioned, we have one of the biggest portfolio in the market. We're not only good at unified infrastructure, but also the network that connects that infrastructure to the application, and the application itself, right? The mobile application, the user experience of it, and the code-level visibility that you need. So as the survey mentioned, one of the biggest issues that companies have is they want to aggregate this data from app, network, and infrastructure. And at CA we are uniquely positioned because we have products in all three areas. I think typically no vendor covers all three areas and we're tying these together with more contextual analytics, which includes log which we released a while back, and I love to give the example of logs as well, right? People even monitor logs in a silo. But the value of using log together with performance is performance tells you a system is slow, okay, but logs tell you why. So it's using context together with your performance across app, infra, and network, really helps you solve these problems. >> Well, the Internet of Things and the car example we use also takes advantage of potential log data because data exhaust could be sitting around, but with realtime it could be very relevant. Okay, so let's move on to some of the kudos you're getting. Customers recognize CA as a leader in ITOA, IT analytics, operational analytics. 82% of organizations agree with the following, little thumb-up there. "CA has the breadth and depth of monitoring expertise to deliver the cross-correlation of IT operation analytics data from app to infrastructure to network. I buy the vision. I'm going to challenge you on this. What's the most important thing you got that this survey says? Because that's a huge number. Some might challenge that number. So I'm going to challenge that. Why is that number so important, and describe how it's reached. >> So I think it's some of our customers that have bought the belief of this, right, because we have in the portfolio an application performance like I mentioned, infrastructure performance with UIM, our net ops product portfolio, we are the only vendor in the market with that holistic set of products and experience in all three areas. So that really positions us uniquely. If you pick up any vendor out there, they either started on the app side, just started going on the infrastructure side, or they're a pure network player, starting to go infra and trying to get into app. But we are the vendor that has all three, and now we are bringing all of these three areas together through our operation intelligence platform that Sudip mentioned. >> Okay, so go to the next slide here. This one here is kind of chopped down, so move to the next one, you can come to that, look at that, later. This is the one I want to talk about, because retail is huge. We cover retail as a retail analyst firm, but retail does have a lot of edge components to it. It's heavily data-driven, evolving realtime from wearables to whatever. I mean, it's just going crazy. So it's turbulent from a change standpoint, but it's heavily IT operations driven. Why is this important? It says "Global 500 retail company was spending too much time in issue resolution. They lacked end-to-end visibility across cloud, traditional, and applications. After implementing CA UIM, they improved their mean time to repair by 35-50%. I'll translate that. Basically, it's broken, they got to repair it. Things aren't working. Retail can't be down. Why did you guys provide this kind of performance? Give a specific example of how this all plays out. >> So actually this tech firm named the customer, but in a typical scenario in retail, everyone is getting these mobile apps, right? So you need to monitor performance of the mobile app, the application running on it, we have tools for that, and the infrastructure behind it. So typically these mobile apps are on the cloud, right? IT ops have a traditional infrastructure, but this is Amazon-based or Azure-based. They come to us, we are adopting these mobile applications, but at the same time, we don't want to set up a separate IT ops team for these mobile applications as well. So retail organizations are proactively implementing an analytics-based approach for their unified end-to-end view. So even though the mobile app might be siloed, but it's multi-channel in retail, right? So they might order from their application but they might pick up in the store, and the store might be running on a physical Windows machine, versus some cloud-based boss. >> So you're saying they get to the cloud real fast, then realize, "oh, damn, I got to fix this. "I need analytics." So either way the customer use case is they can work with you on the front end to design that reimagined infrastructure, or bring you in at the right time. >> And our monitoring tool helps that, gives that end-to-end view, right, from the user's genie all the way from logging in, to all the way to the transaction being updated on the inventory software, being updated on the store, all the back-end SOP system. So we monitor all these technologies, give them end-to-end views. And we give them proactive (mutters). That's what analytics is, right? If their experience is slow, again, a user shouldn't be telling them on social media, "I can't order this," right? That IT team should be proactively testing, proactively-- >> Agility, speed and agility. >> Right, and without a unified view, it's not possible. >> All right, I'm at a bottom line here for you, and get your personal perspective. Take your CA hat off and your personal industry tech hat on. What should IT guys, what should they think of when working with CA? Why is CA good for them, and why should they look at you, and why should they continue to use you if they're an existing customer? >> So I think CA, like I said before, they're experienced in this space, right? And the investment we are making in analytics and cloud, we have a large customer base, so pretty much every customer, every enterprise, every industry you name, we have a customer there. And we have a huge portfolio already. So we have the basis from application to network to infrastructure, and are building this analytics layer that our customers have been asking us, that you're one of the rare vendors that have the most depth of information already available, right? So if aggregating that into an operational intelligence platform really helps puts us in a unique position by giving them the broadest set of data through a single platform. Right, and our experience for 30 years in monitoring, like Peter mentioned as well, and the investment we are bringing in cloud, UIM is a example. We were recently applauded by industry analysts as well that it's one of the best tools for single pane of glass for hybrid cloud environments. That shows how heavily we are investing in new, modern infrastructures like Amazon and Azure and even Utanics, right? >> Well, certainly you've got a lot of props. We just shared some of those stats and from independent firms like Tech Validate. But more, I think, impressive is that Peter Burroughs is on the cutting edge of digital business. You guys are aligned really with some of the cutting-edge research, where we see the market going, so congratulations. This digital event's been great. I want to ask you one final question. We see you guys out a lot at all the events we go to with TheCUBE, we go to all the cloud events. So you guys are going to be going to all the cloud events this year. So is that how customers can get ahold of you in the field? Which events will you be at? Where should they look for CA out in the field? >> So I think we're pretty much everywhere, on all the key events that you mentioned. Amazon Reinvent and C-World is coming as well. Customers should come to us and see how CA is helping people better manage the modern software factory, what we call it, every customer is in a digital economy, is trying to build software to deliver unique experiences, and at CA we talked about our IT operations, from dev to test to ops, we provide all the solutions. So C-World, Amazon Reinvent, you know, come find us there, or online at ca.com as well. >> All right, Umair, thanks for coming here and sharing your thoughts as part of our one-on-one drill downs from the digital event here at Silicon Angle Media's Cube Studios in Palo Alto, where we discuss the cloud and IT analytics for digital business, sponsored by CA Technologies. I'm John Furrier. I've been the host and moderator for today. I want to thank Peter Burris, head of research at wikibon.com for the opening keynote and Sudip Datta, who's the vice president of product management for CA for the second keynote. And all the conversation will be online, and thanks for watching, everyone. And check out CA. We'll see you at all the different cloud events with TheCUBE, thanks for watching.

>> Good morning, everyone. My name is Sudip Datta. I head up product management for Infrastructure Management and Analytics at CA Technologies. Today I am going to talk about the key pillars for modern analytics and monitoring for hybrid cloud. So before we get started, let's set the context. Let's take a stock of where we are today. Today in terms of digital business, software is driving business. Software is the backbone, is the driving force for most of the business services. Whether you are a financial institution or a hospitality service or a health care service or even a restaurant service pizza, you are front-ended by software. And therefore the user experience is of paramount importance. Just to give you some factoids. Eighty-three percent of U.S. consumers say that the brand that, the frontal software portal is more important than the product itself. And the companies are reciprocating by putting a lot of emphasis on user experience, as you see in the second factoid. The third factoid, it's even more interesting that 53% of the users of a mobile app actually abandon the app if the app doesn't load within a specified time. So we all understand now the importance of user experience in today's business. So what's happening to the infrastructure underneath that's hosting these applications? The infrastructure itself is evolving, right? How? First of all, as we all know there is a huge movement, a huge shift towards cloud. Customers are adopting cloud for reasons of economy, agility and efficiency. And whether you are running on cloud or on prem, the architecture itself is getting more and more dynamic. On the server side we hear about server-less computing. More and more enterprises are adopting containers, could be Dockers or other containers. And on the networking side we see an adoption of software-defined networking. The logical overlay on top of the physical underlay is abstracting the network. While we see a huge shift, a movement towards cloud, it is also true that customers are also retaining some of their assets on prem, and that's why we talk about hybrid cloud. Hybrid cloud is a reality, and it's going to be a reality for the foreseeable future. Take for example a bank that has its systems of engagement on public cloud, and systems of records on prem deeply nested within their DNC. So the transaction, the end-to-end transaction has to traverse multiple clouds. Similarly we talk to customers who run their production tier one application on prem, while tier two and tier three desktop applications run on public cloud. So that's the reality. Multi-cloud dynamic environment is a reality of today. While that's a reality, they pose a serious challenge for IT operations. What are the challenges? Because of multiple clouds, because of assets spanning multiple data centers, multiple clouds, there are blind spots getting created. IT ops is often blindsided on things that are happening on the other side of the firewall. And as a result what's happening is they're late to react, and often they react to problems much later than their customers find it, and that's an embarrassment. The other thing that's happening is because of the dynamic nature of the cloud, things are ephemeral, things are dynamic, things come and go, assets come and go, IT ops is often in the business of keeping pace with these changes. They are reacting to these changes. They are trying to keep pace with these changes, and silo'd tools are not the way to go. They are trying to keep up with these changes, but they are failing in doing so. And as a result we see poor user experience, low productivity, capacity problems and delayed time to market. Now what's the solution? What is the solution to all these problems? So what we are recommending is a four-pronged solution, what we represent as four pillars. The first pillar is about dynamic policy-based configuration and discovery. The second one is unification of the monitoring and analytics. The third one is contextual intelligence, and the fourth one is integration and collaboration. Let's go through them one by one. First of all, in terms of dynamic policy-based configuration, why is it important? I was talking to a VP of IT last week, and he commented that the time to deploy the monitoring for an application is longer than the time to deploy the application itself, and that's a shame. That's a real shame because in today's world application needs to be monitored straight out of the box. This is compounded by the fact that once you deploy the application, the application today is dynamic, as I said, the cloud assets are dynamic. The topology changes, and monitoring tools need to keep pace with that changing topology. So we need automated discovery. We need API driven discovery, and we need policy-based monitoring for large scale standardization. And last but not the least, the policies need to be based on dynamic baselines. The age, the era of static thresholds is long over because static thresholds lead to false alerts, resulting in higher opics for IT, and IT personnel absolutely, absolutely want to move away from it. Unified monitoring and analytics. This morning I stumbled upon a Lincoln white paper which said 20 tools you need for your hybrid monitoring, and I was absolutely dumbfounded. Twenty tools? I mean, that's a conversation non-starter. So how do we rationalize the tools, minimize the silos, and bring them under single pane of glass, or at least minimal panes for glass for monitoring? So IT admins can have a coherent view of servers, storage, network and applications through a single pane of glass? And why is that important? It's important because it results in lesser blame game. Because of silo'd tools what happens is admins are often fighting with each other, blaming each other. Server admins think that it's a storage problem. The storage admin thinks it's a database problem, and they are pointing to each other, right? So the tools, the management tools should be a point of collaboration, not a point of contention. Talking about blame game, one area that often gets ignored is the area of fault management and monitoring. Why is it important? And I will give a specific example. Let's say you have 100 VMs, and all those VMs become unreachable as a result of router being down. The root cause of the problem therefore are not the VMs, but the router. So instead of generating 101 alarms, the management tool needs to be smart enough to generate one single alarm. And that's why fault management and root cause analysis is of paramount importance. It suppresses unnecessary noise and results in lesser blaming. Contextual intelligence. Now when we talk about the cloud administrator, the cloud admin, the cloud admin in the past were living in the cocoon of their hybrid infrastructure. They were managing the hybrid infrastructure, but in today's world to have an end-to-end visibility of the digital chain, they need to integrate with application performance management tools, APM, as well as what lies underneath, which is the network, so that they have an end-to-end visibility of what's happening in the whole digital chain. But that's not all. They also need what we call is the context of the application. I will give you a specific example. For example, if the server runs out of memory when a lot of end users log into the system, or run out of capacity when a particular marketing promotion is running, then the context really is the business that leads to a saturation in IT. So what you need is to capture all the data, whether they come from logs, whether they come from alarms, capacity events as well as business events, into a single analytics platform and perform analytics on top of it. And then augment it with machine learning and pattern recognition capabilities so that it will not only perform root cause analysis for what happened in the past, but you're also able to anticipate, predict and prevent future problems. The fourth pillar is collaboration and integration. IT ops in today's world doesn't and shouldn't run in a silo. IT ops need to interact with dev ops. Within dev ops developers need to interact with QA. Storage admins need to collaborate with server admins, database admins and various other admins. So the tools need to encourage and provide a platform for collaboration. Similarly IT tools, IT management tools should not run standalone. They need to integrate with other tools. For example, if you want monitoring straight out of the box, the monitoring needs to integrate with provisioning processes. The monitoring downstream needs to integrate with ticketing systems. So integration with other tools, whether third party or custom developed, whatever it is, it's very, very important. Having said that, having laid what the solution should be, what the prescription should be, how is CA Technologies gearing up for it? In CA we have the industry's most comprehensive, the richest portfolio of infrastructure management tools, which is capable of managing all forms of infrastructure, traditional, private cloud, public cloud. Just to give you an example, in private cloud we support the traditional VMs as well as hyper converged infrastructure like Nutanix. We support Docker and other forms of containers. In public cloud we support the monitoring of infrastructure as a service, platform as a service, software as a service. We support all the popular clouds, AWS, Azure, Office 365 on Azure, as well as Salesforce.com. In terms of network, out net ops tools manage the latest and greatest SDN and SD-WAN, the VMware SDN, the open stack SDN, in terms of SD-WAN Cisco, Viptella. If you are a hybrid cloud customer, then you are no longer blindsided on things that are happening on the cloud side because we integrate with tools like Ixia. And once we monitor all these tools, we provide value on top of it. First of all, we monitor not only performance, but also packet, flow, all the net ops attributes. Then on top of that we provide predictive insights and learning. And because of our presence in the application performance management space, we integrate with APM to provide application to infrastructure correlation. Finally our monitoring is integrally linked with our operational intelligence platform. So in CA we have an operational intelligence platform built around CA Jarvis technology, which is based on open source technology, Elastic Logstash and Kibana, supplemented by Hadoop and Spark. And what we are doing is we are ingesting data from our monitoring tools into this data lake to provide value added insights and intelligence. When we talk about big data we talk about the three Vs, the variety, the volume and the velocity of data. But there is a fourth V that we often ignore. That's the veracity of the data, the truthfulness of data. CA being a leader in monitoring space, we have been in the business of collecting and monitoring data for ages, and what we are doing is we are ingesting these data into the platform and provided value added analytics on top of it. If you can read the slide, it's also an open framework we have the APIs from for ingesting data from third-party sources as well. For example, if you have your business data, your business sentiment data, and if you want to correlate that with IT metrics, how your IT is keeping up with your business cycles, you can do that as well. Now some of the applications that we are building, and this product is in beta as you see, are correlation between the various events, IT events and business events, network events and server events. Contextual log analytics. The operative word is contextual. There are a plethora of tools in the market that perform log analytics, but log analytics in the context of a problem when you really need it is of paramount importance. Predictive capacity analytics. Again, capacity analytics is not only about trending, right? It's about what if analysis. What will happen to your infrastructure? Or can your infrastructure sustain the pressure if your business grows by 2X, for example? That kind of what if analysis we should be able to do. And finally machine learning, we are working on it. Out of box machine learning algorithm to make sure that problems are not only corrected after the fact, but we can predict problems. We can prevent the problems in future. So for those who may be listening to this might be wondering where do we start? If you are already a CA customer, you are familiar with CA tools, but if you're not, what's the starting point? So I would recommend the starting point is CA Unified Infrastructure Manager, which is the market leading tool for hybrid cloud management. And it's not a hollow claim that we are making, right? It has been testified, it has been blessed by customers and analysts alike. And you can see it was voted the cloud monitoring software of the year 2016 by a third party. And here are some of the customer experiences. NMSP, they were able to achieve 15% productivity improvement as a result of adopting UIM. A healthcare provider, their meantime to repair, MTTR, went down by 40% as a result of UIM. And a telecom provider, they had a faster adoption to cloud as a result of UIM, the reason being UIM gave them for the first time a single pane of glass to manage their on prem and cloud environments, which has been a detriment for them for adopting cloud. And once they were able to achieve that, they were able to switch onto cloud much, much faster. Finally, the infrastructure management capabilities that I talked about is now being delivered as a turnkey solution, as a SAS solution, which we call digital experience insights. And I strongly, strongly encourage you to try UIM via CA digital experience insights, and here is the URL. You can go and sign up for the trial. With that, thank you.