>> Okay welcome back everyone to our special live presentation for cloud and IT analytics for the hybrid cloud. I'm John Furrier, your host. We just had an interview with Peter Burris, keynote presenter. Our second one-on-one conversation is with our second keynote, Sudip Datta is the Vice President of Product Manager for CA Technologies. Sudip, great to see you. Great keynote. >> Good to see you. Thank you. >> A lot of information on your keynote so folks can check it out online and on demand, but I wanted to ask you, you mentioned evolving infrastructure, so it's the first thing that you kind of set the table with. What do you mean by that? >> Sure. So first of all, as I mentioned in my keynote, the infrastructure today is intimately connected with business operations and the user experience, right? So how is the infrastructure evolving and catering to this ongoing demand of app economy? Before we get there, let's define what infrastructure means to CA, right? Infrastructure is servers, storage, network. Could be running on prem, could be running on public cloud, right? So let's look at what's happening on each layer, right. In the server layer, we are seeing bi-directional, somewhat antithetical movement, right? One on the consolidation side of things and the other on expansion to multiple clouds, right? On the consolidation side of things, of course there are re-amps and now we see more and more containers getting adopted like I was looking at a survey. The container growth between 2016 and 2017 is more than 40%. So we are also hearing about serverless compute, stateless compute, and so on and so forth. So that's on the server side of things, right? Storage, we are hearing about object storage. Network is getting more and more abstracted with software defined networking, right? Another survey portrayed that between 2014 and 2020, the SDN market is anticipated to grow at a CAGR of 53% and that's huge. Huge. So the infrastructure is evolving, getting more dynamic, getting more abstract, right? And therefore there are challenges to monitoring and management. >> And you're seeing growth in Kubernetes just to throw a cherry on top of that conversation because that's orchestrating the apps which require programmable infrastructure. >> Absolutely. >> I want to just make a comment, I was just talking with Peter Burris and I want to highlight one of your pieces of your keynote that you mentioned that there's four pillars of modern analytics and monitoring and Peter and I were talking about the digital business requirement for a modern infrastructure and I was kind of teasing it out, I want to see where he wanted to go with it, I kind of put him on the spot, but I was saying hey, data's been a department, analytics has kind of been a department, but now it's kind of holistic. He kind of slapped me around, said "no no, it's still going to be a department." Although technically right, I was trying to say there's a bigger picture. >> Sudip: Sure. >> This is kind of a mindset shift. People are are re-imagining their analytics as a strategic asset just like data's becoming a strategic asset. My question is, if you don't monitor it, how do you even understand it? So you need these four pillars, and they are policy based configuration that's dynamic, unified monitoring, contextual intelligence, and collaboration integration. With the trend of the true private cloud report, you're starting to see the shift in labor from non-differentiated to differentiated. And those kind of four pillars as kind of a breeding ground for innovation. Are they connecting, do you see that connecting into this new IT role? >> Absolutely. As you rightly pointed out, the non-differentiated labor is being replaced by automation, by machine learning, by scripts, whatever it is. It's whole-scale automation. So that itself lends to the fact that there is a different shade of labor which is the value-added labor. So how does labor create value? And that's related to the four pillars that we talked about. How to manage these dynamic environments and glean data out of these environments to provide valuable insights and intelligence. We talked about contextual intelligence. So when it comes to contextual intelligence, IT can be intimately involved with the business to provide the IT context to the business or the business context to the IT and vice versa and add value to the business. Giving a specific example... In prior times, IT used to be reactive. When business runs out of, runs a camping, they run out of capacity and they say we need to add servers and they're rolling a server and so on and so forth. Now, of course the automation side of server provisioning has been taken care of. There are a lot of APIs out there, there are Amazon cloud formations and all that, but you still need a policy that is going to proactively detect, perform a what-if analysis that if there is a 2x ramp in business, there is going to be corresponding pressure on infrastructure and act proactively. That way, I can get to be the friend of business. It's not really acting after the fact, but acting proactively. >> I was talking with Umar Kahn, one of your colleagues yesterday. We talked about cars. I love Teslas 'cause it's a great example of innovation and you got old cars and you got Teslas. Really we're seeing kind of a move in IT where modern looks like the Tesla of IT where things are just different but work much better. So I got to ask you a question, Tesla's a great cool car, there's a lot of hype and buzz around it, but it's still got to drive, right? It's still got to be great. So you mentioned faults, fault detection and machine learning in your presentation, but IT ops still needs to run. And you got IOT Edge that Peter pointed out that needs to be figured out. So you got to figure out these new things and you got to run stuff, so you need the fault detection with the machine but you still got to be cool. Like the Tesla of IT. How are you guys becoming the Tesla of IT? >> Absolutely. I will touch upon a few points. First of all, as I mentioned right at the beginning, that data is important but we focused on the three Vs of data, which is velocity, volume and variety. But there is also the veracity of data and CA has been in the business of monitoring, capturing this data from various systems. From mobiles to mainframes, right? For the last few decades, right? So we have the true data, we are collecting the data, and now we are building a data analytics platform on which the data will be ingested and we will give insights. So that's going to be a big differentiator. The other is, we have all the tools from application management to infrastructure management tools, net ops tools, and we are connecting all of them to cover the entire digital chain. The reason is important, and I will highlight only one particular aspect of it. Network, the most neglected compliment in the infrastructure-- >> And the most important. Everyone complains about the network the most. >> Most important. Even when a kid plays a video game, it's an app. Most of us tend to forget that it's an app and the most important element in that app is the network. And we are in the business of network management so we are not only server and storage and app, we are also tying network management into this overall analytics platform. And within network management, it's tacit management, flow management. These are all important things because today's world, if your network betrays on you, then your user experience-- >> So I got to ask you, the products are in the company. And this is kind of important because most people who think about monitoring analytics would have kind of a different view based on what they're instrumenting. You're kind of talking about network and apps. You're kind of looking at the big picture. Are you tying that together? >> Absolutely. >> Can you explain how? >> Absolutely. So CA has been a market leader in application performance management and in network management and in server and cloud management. So we are tying all this together, the whole digital chain, as I said we are ingesting all the data into an open standard space, open source-based analytics platform, and we are collating the data so you can see what are the networks elements that preceded before a server got choked? Or before the application became inaccessible? We can tie it all together, all the units together, and perform assisted create and root cause analysis. >> Well I wanted to put you on the spot today because we are live, so I got to ask you as the VP of Product Management, what's your favorite product? Do you have a favorite child? (laughing) >> I mean, all of them are my favorite. >> There it is! Of course you can't pick a favorite, everyone's watching. >> Yeah, so yeah. >> As a parent you can't pick a favorite child. They're all good in their own way, right? >> They're all kind of horses for courses. Really, they do fabulous things. At the same time, we don't want the proliferation of tools. We are trying to rationalize tools like the net ops, the cloud ops and application performance management and tie them all together into our analytics platform. You can say like the analytics is my favorite word today because that's the new kid on the block but as I said, all of them are very very important. >> Well I always say, whoever could be the Tesla for IT is going to win it all. So with that, serious question, as VP of Product Management, do want to ask a serious question around that. What's your North Star? When you talk to your product teams, they're specking out products, they're talking to customers, and the engineers are building it out. What is the North Star? What is the ethos of CA these days? 'Cause you guys are pushing the envelope while maintaining that install base of customers. What is the North Star? What is the ethos? What's the guiding principles for CA Technologies? >> Absolutely. Customers, customers and customers, right? And the reason being, and I will give you... Of course, the user experience matters, but there is also an empirical reason. We are a market leader in the MSP space, for example. MSP and and just the space, and not only do we care about our customers but the customers of our customers as well. MSPs like ONE-NET, and Bespin Global, that you see is monitoring tools for managing their customers. So our allegiance goes all the way to our customers and their customers. So that's a guiding principle. But at the same time, we try to innovate beyond what our customers have been asking for. That's where the intuitive integration between application performance management, infrastructure management, network management, comes. And we want to be absolutely a leader in this end-to-end management. >> We talk with our WebOn team all the time and Peter and I talk about with Dave Alante all the time about how important IT operations are going to be right now because all the market research shows, Peter mentioned it, private cloud, true private cloud, hybrid cloud, massive growth area. Lot of opportunities for ops to really deliver value because the dev-ops momentum, because of the things like containers and Kubernetes, the programmable infrastructure has to be there. So I got to ask you the question, from a customer standpoint, and folks watching. What's the most important thing that your customers need to know when they start to re-think the architecture and ultimately make that 10 to 20 year investment in this new modern IT operations with CA? >> Sure. The first thing is, and I will re-visit the four pillars, right? That the dynamic, discovery, policy-based management is very very important because discovery, a lot of times we neglect discovery because it's always there. But the thing is, that's the starting point. That's the cradle where the overall monitoring takes birth. So that's the first point. The second is bring everything into, if not a single but minimal panes of glass. Maybe net ops has a tool and cloud ops has a tool and of course you have a tool for applications performance management. So those are the building blocks of monitoring. And then, overlay it with contextual intelligence and analytics. As I said, we are ingesting all the data, not only from CA tools, but using open APIs from other tools into our analytics framework and provide contextual intelligence. And last but not the least, collaboration and integration. We are integrating with frameworks such as Slack to provide collaboration between dev ops and IT ops, between storage admins and server admins, and so on and so forth, right? So those are the building blocks. So if you are thinking about what you are going to do in 10 years timeframe, first of all, hybrid cloud is a reality. So for managing the overall, entire spectrum of hybrid cloud, you need a tool that's unified, that can do dynamic policy-based management, that can provide intelligence, and that can encourage collaboration. >> Sudip, thank you so much for sharing this one-on-one conversation. For the folks watching, there's a great slide that outlines that operational intelligence. It was a beautiful eye candy, it's like an architecture slide, I was geekin' out on it. Check it out on the keynote on the on demand. Sudip, thank you so much for sharing your insight here on the future of modern analytics and monitoring strategies. This is a special presentation. One-on-one drill-down with keynote presenter Sudip Datta who is the Vice President of Product Management, part of the cloud and IT analytics digital business. We'll be right back with more one-on-one interviews after this short break.

>> 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.

>> Hey, welcome back everyone. We're here live in the Palo Alto Cube studios for our special digital live event sponsored by CA Technologies. I'm here with Peter Burris, Head of Research Wikibon.com, General Manager of Research for SiliconANGLE Media. Peter, you gave the Keynote this morning along with Sudip Datta talking about analytics. Interesting connection. Dave has been around for a while but now it's more instrumental. CA's had analytics, and monitoring for a while, now it's more instrumental. That seems to be the theme we're seeing here with the research that you're representing and your insight around digital business. Some of the leading research on the topic. Your thoughts on how they connect, what should users know about the connection between data and business, CA analytics and data? >> I think two things, John, first off as I kind of mentioned number one is that more devices are going to be more instrumental to the flow of, to the information flow to the data flows are going to create business value, and that's going to increase the need for greater visibility into how each of these things work together individually, but increasingly it's not just about having individual devices or individual things up and running or having visibility into them. You have to understand how they end up interacting with each other and so the whole modern anthropology becomes more important. We need to start finding ways of improving the capability of monitoring while at the same time simplifying it is the only way that we're going to achieve the goal of these increasingly complex infrastructures that nonetheless consistently deliver the business value that the business requires and customers expect. >> It's been interesting, monitoring has been around for awhile, you can monitor this, you can monitor that, you can kind of bring it all together in a database, but as we move to the cloud and you're seeing internet or things as you pointed out, there's a real connection here and the point that I wanted to talk about is, you mentioned the internet as a computer. Okay, which involves, system software kind of thinking, Let's tease that out. I want to unpack that concept because if the internet now is the platform that everyone will be basing and reimagining their business around, how do companies need to figure this out because this is on everyone's mind because it might miss the fact that it costs a hell of a lot of cash just to move stuff from the edge to the cloud or even just architectural strategies. What's that importance of the internet as a computer? >> Well, the notion of internet scale computing has been around for quite sometime. And the folks who take that kind of systems approach to things, may of them are sitting within 50 miles of where we sit right here. In fact, most of them. So, Google looks at the internet as a computer, that it can process. Facebook sees things the same way. So, if you look at some of these big companies that are actually thinking about internet scale computing, any service, any data, anytime, anywhere, then that thinking has started to permeate, certainly Silicon Valley. And in my conversations with CIO's, they increasingly want to think the same way. What is it, what, how do I have to think about my business relative to all of the available resources that are out there so I can have my company think about gaining access to a service wherever it might be. Gaining access to data that would be relevant to my company, wherever it might be. Appropriately moving the data, minimizing the amount of data that I have to move. Moving the events to the data when necessary. So, the, this is, in many respects the architectural question in IT today. How do we think about the way we weave together all these possible resources, possible combinations into something that sustains, sustainably delivers business value in a coherent manageable, predictable way? >> It's interesting, you and I have both seen many waves of innovation going back to the mini computer mainframe days and there used to be departments called data processing and this would be departments that handle analytics and monitoring. But now we're in a new era, a modern era where everything can be instrumented which elevates the notion of a department into a holistic perspective. You brought this up in your talk during the Keynote where it said data has to permeate throughout the organization whether it's IOT edge or wherever, so how do companies move from that department mindset, oh, the department handles the data warehouse or analytics, to a much more strategic, intelligent system? >> Well, that's an interesting question, John. I think it's one of the biggest things a business, you're going to have to think about. On the one hand, our expectations, we will continue to see a department. And the reason why that is, but not in a way that's historically been thought about, one of the reasons why that is, is because the entire business is going to share claims against the capabilities of technology. Marketing's going to lay a claim to it. Sales is going to lay claim to it. Manufacturing and finance are going to lay claims to it. And those claims have to be arbitrated. They have to be negotiated. So there will be a department, a group that's responsible for ensuring that the fundamental plant, the fundamental capabilities of the business are high quality and up and running and sustained. Having said that, the way that that is manifest is going to be much faster, much more local, much more in response to customer needs which often will break down functional type barriers. And so it's going to be this interesting combination of, on the one hand for efficiency and effectiveness standpoint, we're going to sustain that notion of a group that delivers while at the same time, everybody in the business is going to be participating more clearly in establishing the outcomes and how technology achieves those outcomes. It's very dynamic world and we haven't figured out how it's all going to come together. >> Well, we're seeing some trends, now you're seeing the marketing departments and these other departments taking some of that core competence that used to be kind of outsourced to the IT departments so analytics are moving in and data science and so you're seeing the early signs of that. I think modern analytics that CA was talking about was interesting, but I want to get your thoughts on the data value piece cause this is another billion dollar question or gazillion dollar question. Where is the value in the data? And from your research in the impact of digital business, where's the value come from? And how should companies think about extracting that value? >> Well, the value, first off, when we talk about the value of data we perhaps take a little license with the concept. And by that I mean, software to a computer scientist is data. It happens to be the absolutely most structured data you can possibly have. It is data that is so tightly structured that it can actually execute. So we bring software in under that rubric of the value of data. That's one way. The data is the basis for software and how we think about the business actually having consequential actions that are differentiated, increasing the digital world. One of the most important things, ultimately, about data is that unlike virtually every other asset that I can think about, money, labor, materials, all of those different types of assets are dominated by the economics of scarcity. You and I are sitting here having a conversation. I'm not running around and walking my dog right now. I can only do one thing with my time. I may have in my mind, thinking, but I can't create value at the same moment that I'm talking to you. I mean, we can create value here, I guess. Same thing if you have a machine and the machine is applied to pull a wire of a certain diameter, it's not pulling a wire of a different diameter. So these are all assets or sources that are dominated by scarcity. Data's different because the characteristics of data, the things that make data so unique and so interesting is that the same data can be applied to a lot of things at the same time. So we're talking about an asses that can actually amplify business value if it's appropriately utilized. And I think this is one of the, on the one hand, one of the reasons why data is often regarded, it's disposable, is because, oh I can just copy it or I can just do this with it or I can do that with it. It just goes away, it's ephemeral. But on the other hand, why leading businesses and a lot of these digital native companies, but increasing the other companies are now recognizing that with data as an asset, that kind of a thinking, you can apply the same data to a lot of different pursuits at the same time and quite frankly, that's what our customers want to see. Our customers want to see their requests, their needs be matched to capabilities, but also be used to build better products in the future, be used to ensure that the quality of the services that they're getting is high. That their needs are being met, their needs are being responded to. So they want to see data being applied to all these different uses. It's an absolutely essential feature in the future of digital business. >> And you've got to monitor in order to understand it. And for the folks watching, Peter had a great description in his Keynote, go check that video out around the elements of the digital business, how it's all working together. I'll let you go look at that. My final question for you is, you mention in your Keynote, the Wikibon private, true private cloud report. One of the things that's interesting in that graph, again on the Keynote he did present the slide, it's also on Wikibon.com if you're a member of the research subscription. It shows that actually the on premise assets are super valuable and that there's going to be a decline in labor, non differentiated labor or operational labor over the next six, seven years, around 1.6 billion dollars, but it shifts. And I think this was your point. Can you just explain in a little deeper way, the importance of that statistic because what it shows is, yes, automations coming. Whether it's analytics or machine learning and what not, but the value's shifting. Can you talk about that? >> Yeah, the very nature of the work that's performed within what we today call IT operations is shifting. It always has been. So when I was running around inside an IT organization, I remember some of the most frenetic activity that I saw was tape jockeys. We don't have too many tape jockeys in the world anymore, we still have tape, but we don't have a lot of tape jockeys anymore. So the first thing it suggests is that the very nature of the IT work that's going to be performed is going to change over the next few years. It's going to change largely in response to the fact that as folks recognize the value of the data and acknowledge that the placement of data to the event is going to be crucial to achieving that event within the envelope of time that that event requires. That ultimately the slow motion of dev op, which is still a maturing, changing, not broadly adopted set of concepts will start to change the nature of the work that we perform within that shared IT organization we were talking about a second ago. But the second thing it says is that we are going to be called upon to do a lot more work within an IT organization. A digital business is utilizing technology to perform a multitude of activities and that's just going to explode over the course of the next dozen years. So we have this combination of the works going to change, the amount of work that has, that's going to be performed by this group is going to expand dramatically, which means ultimately the only way out of this is the tooling is going to improve. So we expect to see significant advances in the productivity of an individual within an IT organization to support, sustain a digital business. And that's why we start to see some of the down tick in the cost of labor within IT. It's more important, more works going to be performed, but it's pretty clear that the industries now focus on improving that tooling and simplifying the way that that tooling works together. >> And having intelligence. >> Having intelligence, but also simplifying how it works together so it becomes more coherent. That's where we're going to need to improve these new levels of productivity. >> Real quick to end this segment, quickly talk about how CA connects to this because you know, they have modern analytics, they have modern monitoring strategies, the four pillars that you talked about. How do they connect into your research that you're talking about? >> Well I think one of the biggest things that a CIO is going to have to understand over the course of the next few years and we talked about a couple of them is, that this new architecture is not fully baked yet. We don't know what the new computing model is going to look like exactly. You know, not every business is Google. So Google's got a vision of it. Amazon's got a vision of it. But not every business is of those guys. So a lot of work on what is that new computing model? A second thing is this notion of ultimately where is or how is an IT organization going to deliver value? And it's clear that you're not going to deliver value by optimizing a single resource. You're going to deliver value by looking at all of these resources holistically and understand the inner connections and the interplay of these resources and how they achieve the business outcomes. So when I think about CA, I think of two things. First off, it is a company that has been at the vanguard of understanding how IT operations has worked, is working, and will likely continue to work as it evolves. And that's an important thing for a technology company that's serving IT operations to have. The second thing is, CA's core message, CA's tech core message now is evolving from just best of breed to how these things are going to come together. So the notion of modern moddering is to improve the visibility into everything as a holistic whole going back to that notion of, it's not just one device, it's how all devices holistically come together and the moddering fabric that we put in place has to focus on that and not just the productivity of any one piece. >> It's like an early day's test lick, it only gets better as they have that headroom to grow. Peter Burris head of research at Wikibon.com here, for one-on-one conversations, part of the cloud and modern analytics for digital business. Be back with more one-on-one conversations after this short break.